Forecasting of Forex Time Series Data Based on Deep ...

Trading Ideas For Next Week [Week 2] (Part 1)

Trading Ideas For Next Week [Week 2] (Part 1)
Due to popular demand I've decided to bring this series back for a week 2 and I'll continue to release 3-5 trading ideas every Saturday. How do you guys feel about the name of this series? Would you like me to change the name to something like "Setup Saturdays" or are you guys cool with the current naming scheme?
So this week I wanted to be a lot more in depth in my analysis and setups since I didn't think I was super clear last week with my reasoning on some the setups. I want these posts to be as beginner friendly as possible because there's a lot more beginners in this Subreddit than I had realized. I want you to use this as an educational tool and not as a signal service as a result I'm going to give you possible trade setups and I want you to be the judge of whether you should enter once/if price gets to that point since I feel like that will benefit beginners in the long run. I got a couple questions about top down time frame analysis so that'll be a focus of today's post. Scroll down to NZDJPY if you really want an in-depth look at how I perform top down time frame analysis.
I'll include a picture of a chart and my TradingView chart so if you want to zoom in and out of the chart you'll have that ability to do so.
Quick Disclaimer: Some of the charts pricing might be off by a bit since I started working on this during the New York session on Friday. If any of the charts are impacted in a way that alters the setup I'll be sure to update the charts before I post this on Saturday. Just gotta hope that hope that Powell doesn't break the market or else I might have to redo this entire post.
AUDUSD:

AUDUSD Daily
TradingView Link For Daily: https://www.tradingview.com/chart/AUDUSD/Wb5K2bS8-AUDUSD-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Which way is the trend pointing? It looks like it's pointing up which we can see with the green trend line but how about we zoom in to the 4 hour char to see if that's actually the case.
Tip: When drawing a trend line, especially on the daily and higher time frames, remember to hit as many wicks as possible since they are relevant and not just some anomaly you can ignore.

AUDUSD 4 Hour
TradingView Link For 4 Hour: https://www.tradingview.com/chart/AUDUSD/aah8294z-AUDUSD-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: When we got close to where we are with price and we draw a Fibonacci Retracement from the point where price took off to the point where price peaked we can see that price came down to .5 Fibonacci level where it then started going up again. Coincidence? Possibly. As a result I believe that price could continue higher and it would be justified if it did. However, if we look at the trend lines we can see that price appears to have broke put of of our major trend line (Green) which means that price could fall to the downside if it's actually a breakout. Price then appears like it would then adhere to the new minor trend line (Red). There's also the possibility that this was just a fake breakout and price could go up and adhere to green trend line. I'm going to have a selling bias on this trade since price looks like it double topped at the highs of this year and it looks like we could see price fall. I'm leaning towards the drop of price due to the symmetrical triangle pattern created by the major and minor trend line and looks like price is going to get pushed down which we should get an idea of soon.
Tip: Every time price makes a large move and falls/rises after making a peak/valley always pull out the Fibonacci retracement tool to see if price will bounce from the .382, .5, or .618 levels as they are the most significant levels. This can tell you if you're going to likely get a trend continuation.

AUDUSD 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/AUDUSD/IHgrnfYs-AUDUSD-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: I drew out multiple different scenarios which I think can play out since like I said before we're not trying to predict a single movement but we're preparing to be reactive to an ideal condition which may be thrown at us. Remember that major trend line we drew in on the daily chart well it's going to play a large role here. This trend line has been in the making since March so we're not just going to brush it off. The trend line appears to have been broken and we seem to be sticking that minor trend line after the break of the symmetrical triangle pattern. After the break of the symmetrical triangle pattern price usually gets pushed heavily to one side and it looks like price is wanting to get pushed to the downside. As a result, I'm going to really keep on eyes on scenario the blue arrows display since I think it's the most probable. Looking at the scenario there are going to be two potentially good entry points for a sell. The first being when price goes up to retest the green trend line which would also serve as a bounce from our red trend line. Once we get that bounce we could enter in for a sell with a take profit hopefully somewhere around the .66 area. Another good entry would be when price breaks the zone of support of .68 and after it retests it. Wait for a confirmation candlestick pattern showing price will fall when retesting (i.e. railroad track, bullish engulfment candle, evening star, shooting star, etc.). Look for these candlestick patterns on the 15 minute chart. Once you got the confirmation take the sell and ride price down to the .66 zone. The other scenario that could occur is we could see price go back into the green trend line by breaking the red trend line (Orange Arrows). If this occurs we want to catch the retest bounce of the red trend line and ride price up to the high of the year which is at .702. At that point price could break the resistance at which point we could catch the retest of the zone and ride price up. Or it could go up to .702 create a triple top and fall. If you get a candlestick confirmation saying it'll fall then take a sell at the high of the year.
NZDUSD:
If there's something I really like in Forex it's definitely got to be harmonic patterns due to their high accuracy. NZDUSD just recently completed one of them and this is a really good indicator of what price is going to do.

NZDUSD Daily
TradingView Chart For Daily: https://www.tradingview.com/chart/NZDUSD/zQpHzUcK-NZDUSD-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Yes, we have trend line that says that price is going up however I make exceptions for Harmonic patterns since they are accurate about 80%-90% of the time. The pattern you see above is know as a Bearish Bat Pattern. Like the name says it's an indicator that price is going to go Bearish so although the trend line is going up I'm going to have a bearish bias on this trade.

NZDUSD 4 Hour
TradingView Chart For 4 Hour: https://www.tradingview.com/chart/NZDUSD/C29kpCyO-NZDUSD-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Not really much to add here just tossed on a Fibonacci retracement tool from where price took off to the peak just to check for any potential support from any of the major levels which we don't appear to have. We'll go a lot more in-depth on this pair on the 1 hour chart since that's where things get interesting.

NZDUSD 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/NZDUSD/dKJatcM7-NZDUSD-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Looking at price we can see that since June 11th price has been trading in a boxed consolidation range. Again I drew out the possibilities I believe could be ideal for us. Remember that I said Harmonics work 80%-90%. Well that means that they fail 10%-20% of the time which is definitely not something we can neglect. We can see that there's a descending triangle which price is reaching the end of. This means that price is getting ready to move to one direction since big moves always come after consolidation. If it moves to upside wait for price to close above the the spot marked D then you can enter for a buy and ride price up to the .67525 zone where price could break to upside or bounce back down (Orange Arrow). Remember to wait for it to actually close above point D since it could create a triple top and drive price back down. It's the same procedure as AUDUSD here if it makes this move where if it breaks it then catch the retest and if it looks like it's wanting to fall down wait for a confirmation pattern. If it breaks the box to the downside and breaks the support zone then take a sell and ride price down to the trend line at which point you should close the trade as there's a chance price could move against you and it's best to secure profits while you can. Once at the trend line it could bounce and if it does you should be able to ride price up to that .67525 zone (Green Arrow). If price breaks the trend line then wait for the retest and you should be able to ride price down pretty far (Red Arrows). I think you should be able to ride it down to .5918 zone but you'll have to keep your on it.
EURNZD:

EURNZD Daily
TradingView Link For Daily: https://www.tradingview.com/chart/EURNZD/jzgmGcRe-EURNZD-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Well we got a pretty clear descending channel and price looks like it's at the top part of the channel currently so we're going to want to look for some optimal selling conditions due to the down trend.

EURNZD 4 Hour
TradingView Link For 4 Hour: https://www.tradingview.com/chart/EURNZD/YzOpvcH7-EURNZD-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Looking at the 4 hour chart we can see that there appears to be a symmetrical triangle coming to it's end meaning price is getting ready to get pushed to a side. I believe it'll break the triangle and fall to the downside so once you see it break it would be a good idea to take a sell and ride price down to that support zone at 1.7187. Price could also briefly break to the upside then bounce off the top of the channel and it does take a trade from the bounce and ride price down to the same support zone. At that point, I'll leave it up to you to determine how you think price will go and what you should be looking for. Consider it to be a little quiz if you want to think of it like that. You've got my charts so use them as a reference since I've already marked some crucial support/resistance zones which we should keep our on for the next couple weeks.

EURNZD 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/EURNZD/ICWvgEsg-EURNZD-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: There's nothing that special on the one hour chart that I have to point out since I think we pretty much got all the big stuff out of the way on our analysis of the 4 hour chart. Be sure to get a good sell in there since there are two potentially good setups which I've outlined for you. Also be sure to be careful and wait for the bounce of the channel if price goes that way since there's a chance price could break the channel and I don't want you to take a loss because you were impatient.
NZDJPY:
This pair is going to be really fun since we're going to be looking through a lot of time frames so if you really want to learn about a top down approach to analyzing time frames and trends then pay very close attention to how I break down this trade.

NZDJPY Monthly
TradingView Link For Monthly: https://www.tradingview.com/chart/NZDJPY/jZh4F2Jv-NZDJPY-Monthly-For-Reddit-Post-6-20-U-AD3133/
Analysis: Yes, we're actually going to be looking at the monthly chart. I bet you guys don't do that very often. Looking at it we can see that price has been following a clear down trend line since late 2014. If you look at the wick of this month's candle you can see that it appears to have touched the trend line meaning we could see a good opportunity to catch a sell since it had just recently bounced off. Let's take a look at lower time frames to see if this continues to be true.

NZDJPY Weekly
TradingView Link For Weekly: https://www.tradingview.com/chart/NZDJPY/dpvI29BB-NZDJPY-Weekly-For-Reddit-Post-6-20-U-AD3133/
Analysis: When zooming into the weekly we can see that using the wicks of the candles we can actually draw a channel for the low portion that runs pretty much in parallel to the trend line we drew on the monthly chart. We can see that price clearly bounced from the trend line and I think this gives us good reason to believe in the coming weeks we could see the price drop. Also looking at the Bollinger Bands we can see that price also bounced from the top band which also supports a drop of price. Let's go into the daily to see if we can get a better idea.

NZDJPY Daily
TradingView Link For Daily: https://www.tradingview.com/chart/NZDJPY/NbWLURkU-NZDJPY-Daily-For-Reddit-Post-6-20-U-AD3133/
Analysis: Looking at the daily time frame we can see that price is currently consolidated and remember big moves always come after consolidation. If you look closely however you can see that price looks like it's about to break the 200 day EMA (Orange line). If it breaks the EMA we could see price drop pretty far at an accelerated rate. Besides those couple observations there's not much else going on with the daily chart.

NZDJPY 4 Hour
TradingView Link For 4 Hour: https://www.tradingview.com/chart/NZDJPY/d1kaogH5-NZDJPY-4-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Would you look at that, it looks like we got a descending triangle on the 4 hour chart which looks like it's coming to an end. Looking at price it looks like it's wanting to push to the downside. Once you get a break below the lows of the day of June 11th I think it would be a safe bet to take a sell trade and ride it down for 66.825 for this week. If it breaks the 66.825 support zone then I'll definitely take a sell and try to ride price down to the bottom of the channel which we drew on the weekly chart. There's also the possibility that price could take support at any of these support zones and then head back up to test the top of the channel. At which point I'll be looking to get into a sell at the top of the channel but I won't ride price up to the channel since at this current point in time I feel like there's a large amount of risk in that.

NZDJPY 1 Hour
TradingView Link For 1 Hour: https://www.tradingview.com/chart/NZDJPY/83b47mFS-NZDJPY-1-Hour-For-Reddit-Post-6-20-U-AD3133/
Analysis: Not much more to add here since I think by this point we got the entire story so I'm not going to say much more about the 1 hour chart since I think the analysis for the 4 hour chart also sums this up pretty well.
Well that was a lot of information to go through and I hope you found some value in this since it took me quite a few hours to put this together for you guys. Truth be told, I spent most of Friday working on this so I hope at least one person finds some value in which case I'll consider it a win.
So you guys tired of me yet or do you want me to continue this series for a week 3? It takes a lot of time and effort to put this together so I'll only do it if people want it or else I'll pretty much feel like I wasted my time. I might put together a little lesson on how to use the COT in order to catch some big reversal moves in the market since the COT pretty much tells you what the hedge funds are doing and you also want to trade with the hedge funds and institutions. It'll probably take a couple weeks since I'll have to compile some data together and wait for a setup before putting that out but I'll be working on it. Are there any other things you may want explained? Let me know and I'll try to find setups which contain the topic you may want more details on. I hope you have a great trading week!
submitted by AD3133 to Forex [link] [comments]

Elliott Waves Series Part 2 - The Broad Concept

Elliott Waves Series Part 2 - The Broad ConceptYou can find Part 1 here: https://www.reddit.com/Forex/comments/hieuyw/introduction_to_elliott_wave_theory_overview_of/
The primary value that the Wave Principle (from here on out, abbreviated to WP) confers on market analysts is the ability to provide context for market behaviour. Having context is incredibly important. To put it simply, the WP can be thought of as a compass. Whenever you feel lost looking at a chart (ANY chart, ANY market!), the WP will help get you back on track.
Clearing Up Some Misconceptions About Elliott Wave Theory:

  1. R.N. Elliott first discovered the WP in the 1930s using charts of the stock market. Many misinformed people believe that the WP works “best” on stocks and has been adapted for use in other markets. This is simply false. To be clear - Elliott discovered the WP. He did not invent the WP. The WP is based on human social nature and therefore it cannot be invented. It has always existed. What Elliott did was to start codifying rules and guidelines around how human social nature can be charted. Ultimately, Elliott’s objective was to be able to predict future human behaviour using the historical record. The expression of human social nature generates forms and patterns. As these forms and patterns repetitive, they have enormous predictive value.

  1. Another major misconception around the WP is that it requires a lot of discretionary analysis, and more often than not, analysts shoehorn price action to fit the Elliott Wave model. In fact, the WP has very clear rules (these rules are inviolate under any circumstance) and guidelines (these guidelines should be adhered to almost 100% of the time). While there is a discretionary element involved in counting waves, properly trained wave analysts will ultimately arrive at a consensus because following the rules and guidelines narrows the possible wave counts very quickly. Very often Wave analysts will have 2 counts at hand in terms of where they think the market is presently situated. These counts are known as the preferred count and the alternative count. These counts are validated and invalidated using price levels derived from Elliott’s rules and guidelines. The most dissent I expect from two educated Wave analysts is that one analyst’s preferred count could be the other’s alternative count. This dissent quickly resolves itself as the price action develops and validates or invalidates one count or the other. This dissent usually occurs based on wave patterns of one higher degree. It is very rare that I have seen dissent on immediate market movements.

  1. I didn’t know this was a major misconception, but someone brought this up in my first post, “I stated that Elliott Theory has better success when working in consolidations or extreme ranging markets.” This is completely false. The WP doesn’t work better or worse regardless of the market or the market conditions. That would be like saying that breathing air only works occasionally. The WP is NOT a strategy, it is the definitive model for charting human herding behaviour. Human behaviour does not show up only in periods of consolidation or range-bound markets. The markets are themselves driven by human behaviour, therefore the WP is always equally applicable. From a trading perspective, the WP is perfectly suited to capturing trends.

  1. Well, what about news events? What about supply and demand theory? What about fundamentals?! Doesn’t any of this stuff matter?? In short, the answer is no. I have previously stated that I am a macro-based investor. This is certainly true. Much of the research I consume has to do with market fundamentals and global-macro analysis. This research helps me form a view that I can overlay with the WP. From a trading perspective, when it comes to actually pulling triggers and taking positions, my decisions are always guided first and foremost by the WP. Here is a fantastic quotation from Bob Prechter on this topic, “Sometimes the market appears to reflect outside conditions and events, but at other times it is entirely detached from what most people assume are causal conditions. The reason is that the market has a law of its own. It is not propelled by the external causality to which one becomes accustomed in the everyday experiences of life. The path of prices is not a product of news. Nor is the market the cyclically rhythmic machine that some declare it to be. Its movement reflects a repetition of forms that is independent both of presumed causal events and of periodicity.”
The Bottom Line:
Elliott Wave Theory is the best forecasting tool in existence. It has determined that the market’s progression unfolds in waves. Waves can be thought of as patterns that carry the market in a direction. There are a fixed number of the different kinds of patterns these waves can take. If you really boil this down to its essence, successfully applying the WP is as simple as identifying what kind of wave the market is currently in.
I will end this now. The next part will deal with the overriding wave structure that the market is in, the different kinds of waves we will see, and why this wave structure exists in the first place.
submitted by ParallaxFX to Forex [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

How does the BitQT App work?

How does the BitQT App work?

https://preview.redd.it/81cx1yfe1pm51.jpg?width=474&format=pjpg&auto=webp&s=2ceddeda7d5dc0be5c7d4b4dfa7a715baac65b3a
In the later part of websites are the testimonials screaming out loud regarding their success.BitQT review can be quiet judgemental at this point as a result of neither these testimonials prove the legitimacy of the web site nor the live profit reviews account such
You extremely want to understand that if you opt to speculate you’ll surely not visiting recover. TheBitQT just prove this by themselves stating it not being on affiliate terms with others. Something that’s claiming that you simply’ll earn 110zero greenbacks every day is doing a true-time scam job
Perhaps, theBitQT states advertising itself on Times, CNN and Forbes however neither of them found supportive during this regard. You'll check it all by yourself. This is often the sound proof of its scamming regime throughout the globe
It doesn’t have that laser-accurate performance as in trading bitcoin you can never guarantee the minimum amount of profit you be earning the other day. Its what happens when trading with Forex

Many of the websites agree onto the proficiency ofBitQT negating the crucial and impactful proves I shared with you higher than. They are saying it’s flawless. Will something be this flawless letting you earn regarding one thousand bucks each day without charging a penny? The automated transactions are known to be deposited directly into the user’s account that is nowhere to find affiliation with. Undoubtedly, most of the revealing sites have the only supportive argument beginning with, ‘As the review suggests’. Do raise yourselves, is that this the legitimate way to prove legitimacy ofBitQT
They too argue regarding the legitimate verification method. That’s the explanation why there’s a number of complaints with reference to the current. If these products would have really worked, why not each single person select to remain off from their offices integrating with it somehow:

Merely head to the SIGN-UP section on theBitQT site, fill in your personal info, and present your registration. When acknowledged, you'll be able to be able to access our restrictive Bitcoin exchanging

To induce your exchange account in progress, you’ll have to include some assets. WithBitQT, you can create a initial investment of as low as $250, although you'll be able to contribute as a lot of as you wantoy
Since your enlistment has been acknowledged and you’ve invested some funds, you’re fully done. Simply click on ‘trade’ to receive the rewards ofBitQT’s highly rated algorithm. In case you need a hands-on approach, you can shift to manual operation by changing the settings

There’s no harm in trading in terms of cryptocurrency. We have a tendency to’re not against it. But we tend to really aim to reveal the very fact thatBitQT isn't a legitimate website to believe during this case. To actually invest in bitcoin you initially want to shop for a bitcoin wallet so as to store all bitcoins. a series of blockchain integrations which permits you to top-up and earn.

But, as stated earlier you’ve no actual guarantee concerning the number you wish to earn. Secondly, you wish to integrate your bitcoin wallet to your account and then you’ll be ready to head towards the foremost step. Here, you’ll jin a bitcoin exchange system for trading bitcoin for any different traditional currencies of the market.

It works well solely if you for legitimate sites for functioning and planning. Perhaps, it too needs a nice amount of ability and we never promise you to begin earning when you join Bitcoin Exchanger somehow. This was all aboutBitQT Review as a full fulling the aim of alerting the scam going around.


Money Forex Cluster scamThe Cash Forex Group is run by a company named CFxG which allegedly was founded by a team of experts in all kinds of areas, mainly education in the monetary trading field and network promoting.

https://preview.redd.it/0gc7ga9f1pm51.jpg?width=474&format=pjpg&auto=webp&s=5c031ac047e635c47d3ee592ab9235878613c890
These experts and their automated trading system will supposedly facilitate your to form heaps of cash. In trading solely you'll allegedly make fifteenp.c weekly on your investments. Then there are referral programs and multi-level structures that can boost your income even more. Is that t
Money FX Group scamLet’s begin this Money Forex Group review by stating the obvious, this scheme may be a total scam, you just have to look at the numbers.BitQT

When they promise you fifteen%+ weekly, it means that 60percent+ monthly, which is totally ridiculous in the important world. It means a lot of than 560zeropercent per year, therefore you'd need solely $18,00zero greenbacks to become a millionaire within year. And this is often plain impossible.

No legitimate business can create you a gradual fifteenpercent weekly, no financial markets are that predictable and that easy to trade. It may appear straightforward to you, but it really is this straightforward, a program promising fifteenp.c weekly should be a scam, there is no alternative method, the Money FX Group is a scam.

However there is additional to go through in this review.
Massive lies

Money FX Cluster testimonialThe Money Forex Cluster claims to be regulated by the subsequent institutions: FAC – Financial Conduct Authority of London, DFSA – Monetary Services Authority in Dubai, FSCA – Monetary Sector Conduct Authority of South Africa and FSA – the Monetary Services Authority of Seychelles.

But guess what, the FAC will not even exist, while the others (DFSA, FSCA and FSA) haven't issued any license whatsoever to Cash Forex Cluster. Therefore not only Money FX Group is not regulated at all, it conjointly is lying huge time regarding its regulatory status.

The fact is that it's no license whatsoever, so it cannot supply investment services legally in most countries.

This is often conjointly why they want you to deposit cryptocurrencies, they wish to remain as anonymous as potential, so that they will run away along with your cash.
Regulatory warning

Not long when we have a tendency to printed our analysis, the Financial Conduct Authority (financial regulator in Nice Britain) came up with its own warning.

The regulator said that CashFX is providing investment services without the mandatory authorization and advised the public to remain off from it. This is often a very serious argumentBiTQT.

It'd be terribly unwise to deposit money with an unregulated and basically anonymous entity, as a result of it would not be protected in any means. No matter where the cash finally ends up, this program is promising you impossible returns on investments, which in itself confirms that something is wrong.
How it works

Let’s end this Cash Forex Group review by explaining the essential principle of this investment program. It's a Ponzi theme that does no real economic activity. It just collects money from individuals and may pay out some profits, but the most recent clients’ deposits can be used for that.

This will have an inevitable outcome, the system can sooner or later crumble. It's simply a matter of your time when there can be not enough deposits to hide withdrawals and also the inevitable end can

Nobody has not been paid, that is NOBODY ….. after all you can't compound or upgrade your CFX account unless you withdraw (get paid) …. CFX are not regulated…. as a result of they use a Regulated broker (everfx) to trade…so that information is also incorrect…and judging by the actual members comments….I’d say, members are happy….. long might that continue. BUT, you must never place in more than you are prepared to lose (In SOMETHING). However do correct analysis, ask

members, don’t rely on people that play safe and stay poor. Do your own due diligence. (ps MOST sites that decision each business out as a scam…have their own links…..promoting guess what ? ….tip. SCAMS ! Beware.

https://www.cryptoerapro.com/bitqt/


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submitted by bitqtadvantage to u/bitqtadvantage [link] [comments]

A random guide for scalping - Part V - Understanding Intraday Liquidity

Hi there guys,
Welcome back to my weekly rants. Decided to add some info that should be pretty useful to your daily trading, thanks to the comments of u/Neokill1 and u/indridcold91.
If you have not read the rest of the series, I recommend you take your time and read those before continuing with this piece (check my user activity and scroll down...)
This rant is based on this little comment I posted on the last post:
Price moves because of the imbalance between buying and selling. This happens all the time. Price move where liquidity is, and that seeking of liquidity makes the price to go up and down.
Why price extends on a particular direction? Because longer term players decide it.
So the idea behind what I'm writing about is to follow that longer-term trend, taking advantage of a counter-trend wave that is looking for intra-day liquidity. If I'm bullish on the week, I want to pair my buying with intra-day selling. Because I expect longer-term traders to push price by buying massively. And instead of riding a big wave, I want to ride that push and get out before it retraces.
And also answers to this: why for example would it make sense to draw support/resistance lines on a EUUSD chart? Why would anyone "support" the price of a spread? What are you predicting to happen by drawing those lines, that someone will exchange their currency there simply because it's the same price they exchanged it for in the past and that number is special to them?
A good question that deserves an answer
That question is a pretty good one, and one any trader worth of that name should ask himself why. Why price reacts the way it does? Why price behaves in predetermined ways? Why if I draw a line or area on specific candle places, I expect the price to react?
And the answer is simple and at the same time kinda complicated and fascinating. Why price rallies and rallies andd rallies and then suddenly it stops at a point ,and reverses? . The answer is , because there are sellers at that point. There is liquidity there. There is people at that point that decided it was worth to sell enough to reverse that rally.
All the market does is to put together buyers and sellers. If you want to buy something at some price, someone must agree with you. If no ones agrees, then you will have to offer more. When buyers and sellers agree on similar terms, price is stable. Buying and selling happens on a tight range, because both consider that particular price range worth.
But then, perhaps, someone wants to buy big. And there are not enough sellers. This big boy will dry the available liquidity , and it is hungry for more. So price will move from a balanced state to an imbalanced state. This imbalance in volume between buyers and sellers will cause the price to move up, taking all available liquidity till the monster is satiated. Then the exhaustion of bids, or buying, will cause the price to reverse to a point where buying interest is back.
The same applies for selling activity. The main take away you should get from this is simply that the market keeps moving from balance to imbalance to balance to imbalance all the time. And the points where the big bois deploy this activity of buying , of selling, of protecting levels, of slowly entering the markets, are mostly predetermined. Surprised? Most of the institutional activity happens at : 00 ,20, 50 and 80 levels.
So why drawing a line makes sense? It makes sense because when price stalls at some point, is because sellers or buyers stepped in and stopped the movement. Its a level where something interesting is happening.
It's a level where liquidity was present, and the question is, what is going to happen the next time price touches the area? Is someone stepping in to buy or sell at this point? Or perharps the first touch dried the liquidity, and there is nothing preventing price from going up again??
Lets see a real example of a trade I took today on GBPUSD, where I analyze step by step the balance and imbalance of the market liquidity in real time at those levels. The only way to see this is usingfutures. Because forex is a decentralized market and blah blah blah, and futures are centralized so you can see the volume, the limit orders through the DOM and blah blah blah....
So first things first, read well this articule : https://optimusfutures.com/tradeblog/archives/order-flow-trading
Understand well what is said there. Take it easy. Take your time. And then come back to me.
If you have followed my work, you know how I like to ride the market. I want a retracement on the most liquid moment in the market - the NY-London Overlap, and I need a daily BIAS on the pair.
For today, I'm bullish on the GBPUSD.
So lets check the pics.
https://imgur.com/a/kgev9lT
The areas you see marked on the 30 min charts are based on the price relationships that happened last Friday. As you can see, those areas are always in a place where price stalled, retraced, pushed through,came back to the area and reacted in some way. Are those black magic? Why price reacts so smoothly today on them? Ah you Criptochihuahua, this is 20/20 insight, you are lying....
Those points are marked before today's open, simply because of the price relationship I described earlier. And if you remember the earlier rant, price stalls in there because sellers or buyers were present.
So I would expect that the levels are still interesting, and we should be watching carefully how price reacts in real time.
Now, today I got at 1.2680 and got out at 1.2725. Let's check the 2nd pic, keep following the narrative with your own charts.
What you are seeing is the first touch at the big figure with the total volume chart, and the bid/ask order flow chart. You can see how the price is pulled toward that level through the exhaustion of offers being filled. You can see how exactly they are depleted at 15:51. Why? Because at the next min, you can see how there are no offers being filled, compared to the bids.
Remember, when offers are getting filled , price pulls up. When the bids are predominantly being filled, price is pulled down.
And also take a look on the volume. This is key. If an imbalance is to happen, is because there should be a huge difference between bids and asks. Good volume on such a level, good sign. Price hugging the level without good volume, the level will most likely be broken.
Look at the next pic. See the price behavior in combination with the volume? Price is hugging the level on low volume. Great signal. That means the level is not that greatly defended, at this point.
What are we looking for? We are looking for the bids to be exhausted at our next level with a good volume reaction. Watch what happens.
Next pic is our retracement , and we are watching carefully. And look at that beauty. Do you see the volume? Do you see the bids exhaustion? Do you see how the market orders are getting absorbed by the limit orders at that point? Someone does not want the price to go down. Price jumps as a result. It does not huge the level. Do you see? I'm all in, I want to take part of this trade.
But wait, there is more.... look at the next pic, because you yet have another opportunity to get into this train.... at 17:23.. Even a bigger reaction, while on the other side.... we got more hugging...
No more pics for today. You see what happens next. The level gets broken and price rallies to take the previous day high. Trade was a success.
So I hope this added some value, and explained why drawing lines is useful, and how levels are indeed defended.
P.S - I lied: Extra Pic, you got a VWAP chart with Standard Deviations. You can see how the pullback nicely fits in our long framework as well and adds confluence to the trade. Research about this :)
submitted by Cryptochihuahua to Forex [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:
Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
submitted by chiefkul to StockMarket [link] [comments]

Noob Safe Haven Thread | July 15-21 2019

Post any options questions you wanted to ask, but were afraid to. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge.
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade or series of trades, disclose position details, so that responders can help you. Vague inquires receive vague responses. TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, especially for Reddit mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha) • Expiration time and date (Investopedia)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes)
Trade planning, risk reduction and trade size • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Options Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Theta Decay: The Ultimate Guide (Chris Butler - Project Option) • Theta decay rates differ: At the money vs. away from the money • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • A selection of options chains data websites (no login needed)
Selected Trade Positions & Management • The diagonal calendar spread and "poor man's covered call" (Redtexture) • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, TDA Margin Handbook • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • CBOE Exchange Rules (770+ pages, PDF) • TDAmeritrade Margin Handbook (18 pages PDF)
Following week's Noob Thread:
July 22-28 2019
Previous weeks' Noob threads:
July 08-14 2019 July 01-07 2019
June 24-30 2019 June 17-23 2019 June 10-16 2019 June 03-09 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

Noob Safe Haven Thread | July 01-07 2019

Post any options questions you wanted to ask, but were afraid to. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge.
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade or series of trades, disclose position details, so that responders can help you. Vague inquires receive vague responses. TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, especially for Reddit mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha) • Expiration time and date (Investopedia)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes)
Trade planning, risk reduction and trade size • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Options Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Theta decay rates differ: At the money vs. away from the money • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • A selection of options chains data websites (no login needed)
Selected Trade Positions & Management • The diagonal calendar spread and "poor man's covered call" (Redtexture) • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, TDA Margin Handbook • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • CBOE Exchange Rules (770+ pages, PDF) • TDAmeritrade Margin Handbook (18 pages PDF)
Subsequent week's Noob thread: July 08-14 2019
Previous weeks' Noob threads:
June 24-30 2019 June 17-23 2019 June 10-16 2019 June 03-09 2019 May 27 - June 02 2019 May 20-26 2019 May 13-19 2019 May 06-12 2019 Apr 29 - May 05 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

Noob Safe Haven Thread | June 24-30 2019

Post any options questions you wanted to ask, but were afraid to. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge.
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade or series of trades, disclose position details, so that responders can help you. Vague inquires will be responded with vague answers. TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, especially for Reddit mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes)
Trade planning, risk reduction and trade size • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Options Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Theta decay rates differ: At the money vs. away from the money • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • A selection of options chains data websites (no login needed)
Selected Trade Positions & Management • The diagonal calendar spread and "poor man's covered call" (Redtexture) • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, TDA Margin Handbook • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • CBOE Exchange Rules (770+ pages, PDF) • TDAmeritrade Margin Handbook (18 pages PDF)
Following week's Noob thread:
July 01-07 2019
Previous weeks' Noob threads:
June 17-23 2019
June 10-16 2019 June 03-09 2019 May 27 - June 02 2019 May 20-26 2019 May 13-19 2019 May 06-12 2019 Apr 29 - May 05 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

Noob Safe Haven Thread | July 08-14 2019

Post any options questions you wanted to ask, but were afraid to. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge.
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade or series of trades, disclose position details, so that responders can help you. Vague inquires receive vague responses. TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, especially for Reddit mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha) • Expiration time and date (Investopedia)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes)
Trade planning, risk reduction and trade size • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Options Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Theta decay rates differ: At the money vs. away from the money • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • A selection of options chains data websites (no login needed)
Selected Trade Positions & Management • The diagonal calendar spread and "poor man's covered call" (Redtexture) • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, TDA Margin Handbook • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • CBOE Exchange Rules (770+ pages, PDF) • TDAmeritrade Margin Handbook (18 pages PDF)
Following week's Noob thread: July 15-21 2019
Previous weeks' Noob threads:
July 01-07 2019
June 24-30 2019 June 17-23 2019 June 10-16 2019 June 03-09 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.

Here are the categories:

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.

Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.

So in conclusion, if you're building trading strategies, simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.


EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer)
submitted by chiefkul to CryptoCurrency [link] [comments]

Noob Safe Haven Thread | June 17-23 2019

Post any options questions you wanted to ask, but were afraid to. A weekly thread in which questions will be received with critical equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge.
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade or series of trades, disclose position details, so that responders can help you. Vague inquires will be responded with vague answers. TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, especially for Reddit mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes)
Trade planning, risk reduction and trade size • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Options Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Theta decay rates differ: At the money vs. away from the money • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • A selection of options chains data websites (no login needed)
Selected Trade Positions & Management • The diagonal calendar spread and "poor man's covered call" (Retexture) • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, TDA Margin Handbook • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • CBOE Exchange Rules (770+ pages, PDF) • TDAmeritrade Margin Handbook (18 pages PDF)
Subsequent week's Noob thread: June 24-30 2019
Previous weeks' Noob threads: June 10-16 2019 June 03-09 2019 May 27 - June 02 2019 May 20-26 2019 May 13-19 2019 May 06-12 2019 Apr 29 - May 05 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

Noob Safe Haven Thread | June 10-16 2019

Post any options questions you wanted to ask, but were afraid to. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge.
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade or series of trades, disclose position details, so that responders can help you. Vague inquires will be responded with vague answers. TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, especially for Reddit mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes)
Trade planning, risk reduction and trade size • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Options Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • At the money theta decay rate is different from the away from the money rate • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • A selection of options chains data websites (no login needed)
Selected Trade Positions & Management • The diagonal calendar spread and "poor man's covered call" (Retexture) • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, TDA Margin Handbook • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • CBOE Exchange Rules (770+ pages, PDF) • TDAmeritrade Margin Handbook (18 pages PDF)
Subsequent week's Noob thread:
June 17-23 2019
Previous weeks' Noob threads:
June 03-09 2019 May 27 - June 02 2019 May 20-26 2019 May 13-19 2019 May 06-12 2019 Apr 29 - May 05 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

Time Series Preprocessing

Time Series Preprocessing
Hey guys,
I'm working on predicting forex prices and I have time series data for several currencies for the OHLC data.
I'm aiming to try predictions using classical scikit-learn models, statsmodels(such as ARIMA) and even neural networks iteratively.
I'm not sure how I should transform the data as the raw values do not appear to be stationary using the Dickey-Fueller test.
Could you help?


ARIMA Residual Results

Green -> Forecast
submitted by astronights to learnmachinelearning [link] [comments]

Which are your Top 5 favourite coins out of the Top 100? An analysis.

I am putting together my investment portfolio for 2018 and made a complete summary of the current Top 100. Interestingly, I noticed that all coins can be categorized into 12 markets. Which markets do you think will play the biggest role in the coming year?
Here is a complete overview of all coins in an excel sheet including name, market, TPS, risk profile, time since launch (negative numbers mean that they are launching that many months in the future) and market cap. You can also sort by all of these fields of course. Coins written in bold are the strongest contenders within their market either due to having the best technology or having a small market cap and still excellent technology and potential. https://docs.google.com/spreadsheets/d/1s8PHcNvvjuy848q18py_CGcu8elRGQAUIf86EYh4QZo/edit#gid=0
The 12 markets are
  1. Currency 13 coins
  2. Platform 25 coins
  3. Ecosystem 9 coins
  4. Privacy 10 coins
  5. Currency Exchange Tool 8 coins
  6. Gaming & Gambling 5 coins
  7. Misc 15 coins
  8. Social Network 4 coins
  9. Fee Token 3 coins
  10. Decentralized Data Storage 4 coins
  11. Cloud Computing 3 coins
  12. Stable Coin 2 coins
Before we look at the individual markets, we need to take a look of the overall market and its biggest issue scalability first:
Cryptocurrencies aim to be a decentralized currency that can be used worldwide. Its goal is to replace dollar, Euro, Yen, all FIAT currencies worldwide. The coin that will achieve that will be worth several trillion dollars.
Bitcoin can only process 7 transactions per second (TPS). In order to replace all FIAT, it would need to perform at at least VISA levels, which usually processes around 3,000 TPS, up to 25,000 TPS during peak times and a maximum of 64,000 TPS. That means that this cryptocurrency would need to be able to perform at least several thousand TPS. However, a ground breaking technology should not look at current technology to set a goal for its use, i.e. estimating the number of emails sent in 1990 based on the number of faxes sent wasn’t a good estimate.
For that reason, 10,000 TPS is the absolute baseline for a cryptocurrency that wants to replace FIAT. This brings me to IOTA, which wants to connect all 80 billion IoT devices that are expected to exist by 2025, which constantly communicate with each other, creating 80 billion or more transactions per second. This is the benchmark that cryptocurrencies should be aiming for. Currently, 8 billion devices are connected to the Internet.
With its Lightning network recently launched, Bitcoin is realistically looking at 50,000 possible soon. Other notable cryptocurrencies besides IOTA and Bitcoin are Nano with 7,000 TPS already tested, Dash with several billion TPS possible with Masternodes, Neo, LISK and RHOC with 100,000 TPS by 2020, Ripple with 50,000 TPS, Ethereum with 10,000 with Sharding.
However, it needs to be said that scalability usually goes at the cost of decentralization and security. So, it needs to be seen, which of these technologies can prove itself resilient and performant.
Without further ado, here are the coins of the first market

Market 1 - Currency:

  1. Bitcoin: 1st generation blockchain with currently bad scalability currently, though the implementation of the Lightning Network looks promising and could alleviate most scalability concerns, scalability and high energy use.
  2. Ripple: Centralized currency that might become very successful due to tight involvement with banks and cross-border payments for financial institutions; banks and companies like Western Union and Moneygram (who they are currently working with) as customers customers. However, it seems they are aiming for more decentralization now.https://ripple.com/dev-blog/decentralization-strategy-update/. Has high TPS due to Proof of Correctness algorithm.
  3. Bitcoin Cash: Bitcoin fork with the difference of having an 8 times bigger block size, making it 8 times more scalable than Bitcoin currently. Further block size increases are planned. Only significant difference is bigger block size while big blocks lead to further problems that don't seem to do well beyond a few thousand TPS. Opponents to a block size argue that increasing the block size limit is unimaginative, offers only temporary relief, and damages decentralization by increasing costs of participation. In order to preserve decentralization, system requirements to participate should be kept low. To understand this, consider an extreme example: very big blocks (1GB+) would require data center level resources to validate the blockchain. This would preclude all but the wealthiest individuals from participating.Community seems more open than Bitcoin's though.
  4. Litecoin : Little brother of Bitcoin. Bitcoin fork with different mining algorithm but not much else.Copies everything that Bitcoin does pretty much. Lack of real innovation.
  5. Dash: Dash (Digital Cash) is a fork of Bitcoin and focuses on user ease. It has very fast transactions within seconds, low fees and uses Proof of Service from Masternodes for consensus. They are currently building a system called Evolution which will allow users to send money using usernames and merchants will find it easy to integrate Dash using the API. You could say Dash is trying to be a PayPal of cryptocurrencies. Currently, cryptocurrencies must choose between decentralization, speed, scalability and can pick only 2. With Masternodes, Dash picked speed and scalability at some cost of decentralization, since with Masternodes the voting power is shifted towards Masternodes, which are run by Dash users who own the most Dash.
  6. IOTA: 3rd generation blockchain called Tangle, which has a high scalability, no fees and instant transactions. IOTA aims to be the connective layer between all 80 billion IOT devices that are expected to be connected to the Internet in 2025, possibly creating 80 billion transactions per second or 800 billion TPS, who knows. However, it needs to be seen if the Tangle can keep up with this scalability and iron out its security issues that have not yet been completely resolved.
  7. Nano: 3rd generation blockchain called Block Lattice with high scalability, no fees and instant transactions. Unlike IOTA, Nano only wants to be a payment processor and nothing else, for now at least. With Nano, every user has their own blockchain and has to perform a small amount of computing for each transaction, which makes Nano perform at 300 TPS with no problems and 7,000 TPS have also been tested successfully. Very promising 3rd gen technology and strong focus on only being the fastest currency without trying to be everything.
  8. Decred: As mining operations have grown, Bitcoin’s decision-making process has become more centralized, with the largest mining companies holding large amounts of power over the Bitcoin improvement process. Decred focuses heavily on decentralization with their PoW Pos hybrid governance system to become what Bitcoin was set out to be. They will soon implement the Lightning Network to scale up. While there do not seem to be more differences to Bitcoin besides the novel hybrid consensus algorithm, which Ethereum, Aeternity and Bitcoin Atom are also implementing, the welcoming and positive Decred community and professoinal team add another level of potential to the coin.
  9. Aeternity: We’ve seen recently, that it’s difficult to scale the execution of smart contracts on the blockchain. Crypto Kitties is a great example. Something as simple as creating and trading unique assets on Ethereum bogged the network down when transaction volume soared. Ethereum and Zilliqa address this problem with Sharding. Aeternity focuses on increasing the scalability of smart contracts and dapps by moving smart contracts off-chain. Instead of running on the blockchain, smart contracts on Aeternity run in private state channels between the parties involved in the contracts. State channels are lines of communication between parties in a smart contract. They don’t touch the blockchain unless they need to for adjudication or transfer of value. Because they’re off-chain, state channel contracts can operate much more efficiently. They don’t need to pay the network for every time they compute and can also operate with greater privacy. An important aspect of smart contract and dapp development is access to outside data sources. This could mean checking the weather in London, score of a football game, or price of gold. Oracles provide access to data hosted outside the blockchain. In many blockchain projects, oracles represent a security risk and potential point of failure, since they tend to be singular, centralized data streams. Aeternity proposes decentralizing oracles with their oracle machine. Doing so would make outside data immutable and unchangeable once it reaches Aeternity’s blockchain. Of course, the data source could still be hacked, so Aeternity implements a prediction market where users can bet on the accuracy and honesty of incoming data from various oracles.It also uses prediction markets for various voting and verification purposes within the platform. Aeternity’s network runs on on a hybrid of proof of work and proof of stake. Founded by a long-time crypto-enthusiast and early colleague of Vitalik Buterin, Yanislav Malahov. Promising concept though not product yet
  10. Bitcoin Atom: Atomic Swaps and hybrid consenus. This looks like the only Bitcoin clone that actually is looking to innovate next to Bitcoin Cash.
  11. Dogecoin: Litecoin fork, fantastic community, though lagging behind a bit in technology.
  12. Bitcoin Gold: A bit better security than bitcoin through ASIC resistant algorithm, but that's it. Not that interesting.
  13. Digibyte: Digibyte's PoS blockchain is spread over a 100,000+ servers, phones, computers, and nodes across the globe, aiming for the ultimate level of decentralization. DigiByte rebalances the load between the five mining algorithms by adjusting the difficulty of each so one algorithm doesn’t become dominant. The algorithm's asymmetric difficulty has gained notoriety and been deployed in many other blockchains.DigiByte’s adoption over the past four years has been slow. It’s still a relatively obscure currency compared its competitors. The DigiByte website offers a lot of great marketing copy and buzzwords. However, there’s not much technical information about what they have planned for the future. You could say Digibyte is like Bitcoin, but with shorter blocktimes and a multi-algorithm. However, that's not really a difference big enough to truly set themselves apart from Bitcoin, since these technologies could be implemented by any blockchain without much difficulty. Their decentralization is probably their strongest asset, however, this also change quickly if the currency takes off and big miners decide to go into Digibyte.
  14. Bitcoin Diamond Asic resistant Bitcoin and Copycat

Market 2 - Platform

Most of the cryptos here have smart contracts and allow dapps (Decentralized apps) to be build on their platform and to use their token as an exchange of value between dapp services.
  1. Ethereum: 2nd generation blockchain that allows the use of smart contracts. Bad scalability currently, though this concern could be alleviated by the soon to be implemented Lightning Network aka Plasma and its Sharding concept.
  2. EOS: Promising technology that wants to be able do everything, from smart contracts like Ethereum, scalability similar to Nano with 1000 tx/second + near instant transactions and zero fees, to also wanting to be a platform for dapps. However, EOS doesn't have a product yet and everything is just promises still. Highly overvalued right now. However, there are lots of red flags, have dumped $500 million Ether over the last 2 months and possibly bought back EOS to increase the size of their ICO, which has been going on for over a year and has raised several billion dollars. All in all, their market cap is way too high for that and not even having a product.
  3. Cardano: Similar to Ethereum/EOS, however, only promises made with no delivery yet, highly overrated right now. Interesting concept though. Market cap way too high for not even having a product. Somewhat promising technology.
  4. VeChain: Singapore-based project that’s building a business enterprise platform and inventory tracking system. Examples are verifying genuine luxury goods and food supply chains. Has one of the strongest communities in the crypto world. Most hyped token of all, with merit though.
  5. Neo: Neo is a platform, similar to Eth, but more extensive, allowing dapps and smart contracts, but with a different smart contract gas system, consensus mechanism (PoS vs. dBfT), governance model, fixed vs unfixed supply, expensive contracts vs nearly free contracts, different ideologies for real world adoption. There are currently only 9 nodes, each of which are being run by a company/entity hand selected by the NEO council (most of which are located in china) and are under contract. This means that although the locations of the nodes may differ, ultimately the neo council can bring them down due to their legal contracts. In fact this has been done in the past when the neo council was moving 50 million neo that had been locked up. Also dbft (or neo's implmentation of it) has failed underload causing network outages during major icos. The first step in decentralization is that the NEO Counsel will select trusted nodes (Universities, business partners, etc.) and slowly become less centralized that way. The final step in decentralization will be allowing NEO holders to vote for new nodes, similar to a DPoS system (ARK/EOS/LISK). NEO has a regulation/government friendly ideology. Finally they are trying to work undewith the Chinese government in regards to regulations. If for some reason they wanted it shut down, they could just shut it down.
  6. Stellar: PoS system, similar goals as Ripple, but more of a platform than only a currency. 80% of Stellar are owned by Stellar.org still, making the currency centralized.
  7. Ethereum classic: Original Ethereum that decided not to fork after a hack. The Ethereum that we know is its fork. Uninteresing, because it has a lot of less resources than Ethereum now and a lot less community support.
  8. Ziliqa: Zilliqa is building a new way of sharding. 2400 tpx already tested, 10,000 tps soon possible by being linearly scalable with the number of nodes. That means, the more nodes, the faster the network gets. They are looking at implementing privacy as well.
  9. QTUM: Enables Smart contracts on the Bitcoin blockchain. Useful.
  10. Icon: Korean ethereum. Decentralized application platform that's building communities in partnership with banks, insurance providers, hospitals, and universities. Focused on ID verification and payments. No big differentiators to the other 20 Ethereums, except that is has a product. That is a plus. Maybe cheap alternative to Ethereum.
  11. LISK: Lisk's difference to other BaaS is that side chains are independent to the main chain and have to have their own nodes. Similar to neo whole allows dapps to deploy their blockchain to. However, Lisk is currently somewhat centralized with a small group of members owning more than 50% of the delegated positions. Lisk plans to change the consensus algorithm for that reason in the near future.
  12. Rchain: Similar to Ethereum with smart contract, though much more scalable at an expected 40,000 TPS and possible 100,000 TPS. Not launched yet. No product launched yet, though promising technology. Not overvalued, probably at the right price right now.
  13. ARDR: Similar to Lisk. Ardor is a public blockchain platform that will allow people to utilize the blockchain technology of Nxt through the use of child chains. A child chain, which is a ‘light’ blockchain that can be customized to a certain extent, is designed to allow easy self-deploy for your own blockchain. Nxt claims that users will "not need to worry" about security, as that part is now handled by the main chain (Ardor). This is the chief innovation of Ardor. Ardor was evolved from NXT by the same company. NEM started as a NXT clone.
  14. Ontology: Similar to Neo. Interesting coin
  15. Bytom: Bytom is an interactive protocol of multiple byte assets. Heterogeneous byte-assets (indigenous digital currency, digital assets) that operate in different forms on the Bytom Blockchain and atomic assets (warrants, securities, dividends, bonds, intelligence information, forecasting information and other information that exist in the physical world) can be registered, exchanged, gambled and engaged in other more complicated and contract-based interoperations via Bytom.
  16. Nxt: Similar to Lisk
  17. Stratis: Different to LISK, Stratis will allow businesses and organizations to create their own blockchain according to their own needs, but secured on the parent Stratis chain. Stratis’s simple interface will allow organizations to quickly and easily deploy and/or test blockchain functionality of the Ethereum, BitShares, BitCoin, Lisk and Stratis environements.
  18. Status: Status provides access to all of Ethereum’s decentralized applications (dapps) through an app on your smartphone. It opens the door to mass adoption of Ethereum dapps by targeting the fastest growing computer segment in the world – smartphone users.16. Ark: Fork of Lisk that focuses on a smaller feature set. Ark wallets can only vote for one delegate at a time which forces delegates to compete against each other and makes cartel formations incredibly hard, if not impossible.
  19. Neblio: Similar to Neo, but 30x smaller market cap.
  20. NEM: Is similar to Neo No marketing team, very high market cap for little clarilty what they do.
  21. Bancor: Bancor is a Decentralized Liquidity Network that allows you to hold any Ethereum token and convert it to any other token in the network, with no counter party, at an automatically calculated price, using a simple web wallet.
  22. Dragonchain: The Purpose of DragonChain is to help companies quickly and easily incorporate blockchain into their business applications. Many companies might be interested in making this transition because of the benefits associated with serving clients over a blockchain – increased efficiency and security for transactions, a reduction of costs from eliminating potential fraud and scams, etc.
  23. Skycoin: Transactions with zero fees that take apparently two seconds, unlimited transaction rate, no need for miners and block rewards, low power usage, all of the usual cryptocurrency technical vulnerabilities fixed, a consensus mechanism superior to anything that exists, resistant to all conceivable threats (government censorship, community infighting, cybenucleaconventional warfare, etc). Skycoin has their own consensus algorithm known as Obelisk written and published academically by an early developer of Ethereum. Obelisk is a non-energy intensive consensus algorithm based on a concept called ‘web of trust dynamics’ which is completely different to PoW, PoS, and their derivatives. Skywire, the flagship application of Skycoin, has the ambitious goal of decentralizing the internet at the hardware level and is about to begin the testnet in April. However, this is just one of the many facets of the Skycoin ecosystem. Skywire will not only provide decentralized bandwidth but also storage and computation, completing the holy trinity of commodities essential for the new internet. Skycion a smear campaign launched against it, though they seem legit and reliable. Thus, they are probably undervalued.

Market 3 - Ecosystem

The 3rd market with 11 coins is comprised of ecosystem coins, which aim to strengthen the ease of use within the crypto space through decentralized exchanges, open standards for apps and more
  1. Nebulas: Similar to how Google indexes webpages Nebulas will index blockchain projects, smart contracts & data using the Nebulas rank algorithm that sifts & sorts the data. Developers rewarded NAS to develop & deploy on NAS chain. Nebulas calls this developer incentive protocol – basically rewards are issued based on how often dapp/contract etc. is used, the more the better the rewards and Proof of devotion. Works like DPoS except the best, most economically incentivised developers (Bookkeeppers) get the forging spots. Ensuring brains stay with the project (Cross between PoI & PoS). 2,400 TPS+, DAG used to solve the inter-transaction dependencies in the PEE (Parallel Execution Environment) feature, first crypto Wallet that supports the Lightening Network.
  2. Waves: Decentralized exchange and crowdfunding platform. Let’s companies and projects to issue and manage their own digital coin tokens to raise money.
  3. Salt: Leveraging blockchain assets to secure cash loands. Plans to offer cash loans in traditional currencies, backed by your cryptocurrency assets. Allows lenders worldwide to skip credit checks for easier access to affordable loans.
  4. CHAINLINK: ChainLink is a decentralized oracle service, the first of its kind. Oracles are defined as an ‘agent’ that finds and verifies real-world occurrences and submits this information to a blockchain to be used in smart contracts.With ChainLink, smart contract users can use the network’s oracles to retrieve data from off-chain application program interfaces (APIs), data pools, and other resources and integrate them into the blockchain and smart contracts. Basically, ChainLink takes information that is external to blockchain applications and puts it on-chain. The difference to Aeternity is that Chainlink deploys the smart contracts on the Ethereum blockchain while Aeternity has its own chain.
  5. WTC: Combines blockchain with IoT to create a management system for supply chains Interesting
  6. Ethos unifyies all cryptos. Ethos is building a multi-cryptocurrency phone wallet. The team is also building an investment diversification tool and a social network
  7. Aion: Aion is the token that pays for services on the Aeternity platform.
  8. USDT: is no cryptocurrency really, but a replacement for dollar for trading After months of asking for proof of dollar backing, still no response from Tether.

Market 4 - Privacy

The 4th market are privacy coins. As you might know, Bitcoin is not anonymous. If the IRS or any other party asks an exchange who is the identity behind a specific Bitcoin address, they know who you are and can track back almost all of the Bitcoin transactions you have ever made and all your account balances. Privacy coins aim to prevent exactly that through address fungability, which changes addresses constantly, IP obfuscation and more. There are 2 types of privacy coins, one with completely privacy and one with optional privacy. Optional Privacy coins like Dash and Nav have the advantage of more user friendliness over completely privacy coins such as Monero and Enigma.
  1. Monero: Currently most popular privacy coin, though with a very high market cap. Since their privacy is all on chain, all prior transactions would be deanonymized if their protocol is ever cracked. This requires a quantum computing attack though. PIVX is better in that regard.
  2. Zcash: A decentralized and open-source cryptocurrency that hide the sender, recipient, and value of transactions. Offers users the option to make transactions public later for auditing. Decent privacy coin, though no default privacy
  3. Verge: Calls itself privacy coin without providing private transactions, multiple problems over the last weeks has a toxic community, and way too much hype for what they have.
  4. Bytecoin: First privacy-focused cryptocurrency with anonymous transactions. Bytecoin’s code was later adapted to create Monero, the more well-known anonymous cryptocurrency. Has several scam accusations, 80% pre-mine, bad devs, bad tech
  5. Bitcoin Private: A merge fork of Bitcoin and Zclassic with Zclassic being a fork of Zcash with the difference of a lack of a founders fee required to mine a valid block. This promotes a fair distribution, preventing centralized coin ownership and control. Bitcoin private offers the optional ability to keep the sender, receiver, and amount private in a given transaction. However, this is already offered by several good privacy coins (Monero, PIVX) and Bitcoin private doesn't offer much more beyond this.
  6. Komodo: The Komodo blockchain platform uses Komodo’s open-source cryptocurrency for doing transparent, anonymous, private, and fungible transactions. They are then made ultra-secure using Bitcoin’s blockchain via a Delayed Proof of Work (dPoW) protocol and decentralized crowdfunding (ICO) platform to remove middlemen from project funding. Offers services for startups to create and manage their own Blockchains.
  7. PIVX: As a fork of Dash, PIVX uses an advanced implementation of the Zerocoin protocol to provide it’s privacy. This is a form of zeroknowledge proofs, which allow users to spend ‘Zerocoins’ that have no link back to them. Unlike Zcash u have denominations in PIVX, so they can’t track users by their payment amount being equal to the amount of ‘minted’ coins, because everyone uses the same denominations. PIVX is also implementing Bulletproofs, just like Monero, and this will take care of arguably the biggest weakness of zeroknowledge protocols: the trusted setup.
  8. Zcoin: PoW cryptocurrency. Private financial transactions, enabled by the Zerocoin Protocol. Zcoin is the first full implementation of the Zerocoin Protocol, which allows users to have complete privacy via Zero-Knowledge cryptographic proofs.
  9. Enigma: Monero is to Bitcoin what enigma is to Ethereum. Enigma is for making the data used in smart contracts private. More of a platform for dapps than a currency like Monero. Very promising.
  10. Navcoin: Like bitcoin but with added privacy and pos and 1,170 tps, but only because of very short 30 second block times. Though, privacy is optional, but aims to be more user friendly than Monero. However, doesn't really decide if it wants to be a privacy coin or not. Same as Zcash.Strong technology, non-shady team.
  11. Tenx: Raised 80 million, offers cryptocurrency-linked credit cards that let you spend virtual money in real life. Developing a series of payment platforms to make spending cryptocurrency easier. However, the question is if full privacy coins will be hindered in growth through government regulations and optional privacy coins will become more successful through ease of use and no regulatory hindrance.

Market 5 - Currency Exchange Tool

Due to the sheer number of different cryptocurrencies, exchanging one currency for the other it still cumbersome. Further, merchants don’t want to deal with overcluttered options of accepting cryptocurrencies. This is where exchange tool like Req come in, which allow easy and simple exchange of currencies.
  1. Cryptonex: Fiat and currency exchange between various blockchain services, similar to REQ.
  2. QASH: Qash is used to fuel its liquid platform which will be an exchange that will distribute their liquidity pool. Its product, the Worldbook is a multi-exchange order book that matches crypto to crypto, and crypto to fiat and the reverse across all currencies. E.g., someone is selling Bitcoin is USD on exchange1 not owned by Quoine and someone is buying Bitcoin in EURO on exchange 2 not owned by Quoine. If the forex conversions and crypto conversions match then the trade will go through and the Worldbook will match it, it'll make the sale and the purchase on either exchange and each user will get what they wanted, which means exchanges with lower liquidity if they join the Worldbook will be able to fill orders and take trade fees they otherwise would miss out on.They turned it on to test it a few months ago for an hour or so and their exchange was the top exchange in the world by 4x volume for the day because all Worldbook trades ran through it. Binance wants BNB to be used on their one exchange. Qash wants their QASH token embedded in all of their partners. More info here https://www.reddit.com/CryptoCurrency/comments/8a8lnwhich_are_your_top_5_favourite_coins_out_of_the/dwyjcbb/?context=3
  3. Kyber: network Exchange between cryptocurrencies, similar to REQ. Features automatic coin conversions for payments. Also offers payment tools for developers and a cryptocurrency wallet.
  4. Achain: Building a boundless blockchain world like Req .
  5. Req: Exchange between cryptocurrencies.
  6. Bitshares: Exchange between cryptocurrencies. Noteworthy are the 1.5 second average block times and throughput potential of 100,000 transactions per second with currently 2,400 TPS having been proven. However, bitshares had several Scam accusations in the past.
  7. Loopring: A protocol that will enable higher liquidity between exchanges and personal wallets.
  8. ZRX: Open standard for dapps. Open, permissionless protocol allowing for ERC20 tokens to be traded on the Ethereum blockchain. In 0x protocol, orders are transported off-chain, massively reducing gas costs and eliminating blockchain bloat. Relayers help broadcast orders and collect a fee each time they facilitate a trade. Anyone can build a relayer.

Market 6 - Gaming

With an industry size of $108B worldwide, Gaming is one of the largest markets in the world. For sure, cryptocurrencies will want to have a share of that pie.
  1. Storm: Mobile game currency on a platform with 9 million players.
  2. Fun: A platform for casino operators to host trustless, provably-fair gambling through the use of smart contracts, as well as creating their own implementation of state channels for scalability.
  3. Electroneum: Mobile game currency They have lots of technical problems, such as several 51% attacks
  4. Wax: Marketplace to trade in-game items

Market 7 - Misc

There are various markets being tapped right now. They are all summed up under misc.
  1. OMG: Omise is designed to enable financial services for people without bank accounts. It works worldwide and with both traditional money and cryptocurrencies.
  2. Power ledger: Australian blockchain-based cryptocurrency and energy trading platform that allows for decentralized selling and buying of renewable energy. Unique market and rather untapped market in the crypto space.
  3. Populous: A platform that connects business owners and invoice buyers without middlemen. Invoice sellers get cash flow to fund their business and invoice buyers earn interest. Similar to OMG, small market.
  4. Monacoin: The first Japanese cryptocurrency. Focused on micro-transactions and based on a popular internet meme of a type-written cat. This makes it similar to Dogecoin. Very niche, tiny market.
  5. Revain: Legitimizing reviews via the blockchain. Interesting concept, though market not as big.
  6. Augur: Platform to forecast and make wagers on the outcome of real-world events (AKA decentralized predictions). Uses predictions for a “wisdom of the crowd” search engine. Not launched yet.
  7. Substratum: Revolutionzing hosting industry via per request billing as a decentralized internet hosting system. Uses a global network of private computers to create the free and open internet of the future. Participants earn cryptocurrency. Interesting concept.
  8. Veritaseum: Is supposed to be a peer to peer gateway, though it looks like very much like a scam.
  9. TRON: Tronix is looking to capitalize on ownership of internet data to content creators. However, they plagiarized their white paper, which is a no go. They apologized, so it needs to be seen how they will conduct themselves in the future. Extremely high market cap for not having a product, nor proof of concept.
  10. Syscoin: A cryptocurrency with a decentralized marketplace that lets people buy and sell products directly without third parties. Trying to remove middlemen like eBay and Amazon.
  11. Hshare: Most likely scam because of no code changes, most likely pump and dump scheme, dead community.
  12. BAT: An Ethereum-based token that can be exchanged between content creators, users, and advertisers. Decentralized ad-network that pays based on engagement and attention.
  13. Dent: Decentralizeed exchange of mobile data, enabling mobile data to be marketed, purchased or distributed, so that users can quickly buy or sell data from any user to another one.
  14. Ncash: End to end encrypted Identification system for retailers to better serve their customers .
  15. Factom Secure record-keeping system that allows companies to store their data directly on the Blockchain. The goal is to make records more transparent and trustworthy .

Market 8 - Social network

Web 2.0 is still going strong and Web 3.0 is not going to ignore it. There are several gaming tokens already out there and a few with decent traction already, such as Steem, which is Reddit with voting through money is a very interesting one.
  1. Mithril: As users create content via social media, they will be rewarded for their contribution, the better the contribution, the more they will earn
  2. Steem: Like Reddit, but voting with money. Already launched product and Alexa rank 1,000 Thumbs up.
  3. Rdd: Reddcoin makes the process of sending and receiving money fun and rewarding for everyone. Reddcoin is dedicated to one thing – tipping on social networks as a way to bring cryptocurrency awareness and experience to the general public.
  4. Kin: Token for the platform Kik. Kik has a massive user base of 400 million people. Replacing paying with FIAT with paying with KIN might get this token to mass adoption very quickly.

Market 9 - Fee token

Popular exchanges realized that they can make a few billion dollars more by launching their own token. Owning these tokens gives you a reduction of trading fees. Very handy and BNB (Binance Coin) has been one of the most resilient tokens, which have withstood most market drops over the last weeks and was among the very few coins that could show growth.
  1. BNB: Fee token for Binance
  2. Gas: Not a Fee token for an exchange, but it is a dividend paid out on Neo and a currency that can be used to purchase services for dapps.
  3. Kucoin: Fee token for Kucoin

Market 10 - Decentralized Data Storage

Currently, data storage happens with large companies or data centers that are prone to failure or losing data. Decentralized data storage makes loss of data almost impossible by distributing your files to numerous clients that hold tiny pieces of your data. Remember Torrents? Torrents use a peer-to-peer network. It is similar to that. Many users maintain copies of the same file, when someone wants a copy of that file, they send a request to the peer-to-peer network., users who have the file, known as seeds, send fragments of the file to the requester., he requester receives many fragments from many different seeds, and the torrent software recompiles these fragments to form the original file.
  1. Gbyte: Byteball data is stored and ordered using directed acyclic graph (DAG) rather than blockchain. This allows all users to secure each other's data by referencing earlier data units created by other users, and also removes scalability limits common for blockchains, such as blocksize issue.
  2. Siacoin: Siacoin is decentralized storage platform. Distributes encrypted files to thousands of private users who get paid for renting out their disk space. Anybody with siacoins can rent storage from hosts on Sia. This is accomplish via "smart" storage contracts stored on the Sia blockchain. The smart contract provides a payment to the host only after the host has kept the file for a given amount of time. If the host loses the file, the host does not get paid.
  3. Maidsafecoin: MaidSafe stands for Massive Array of Internet Disks, Secure Access for Everyone.Instead of working with data centers and servers that are common today and are vulnerable to data theft and monitoring, SAFE’s network uses advanced P2P technology to bring together the spare computing capacity of all SAFE users and create a global network. You can think of SAFE as a crowd-sourced internet. All data and applications reside in this network. It’s an autonomous network that automatically sets prices and distributes data and rents out hard drive disk space with a Blockchain-based storage solutions.When you upload a file to the network, such as a photo, it will be broken into pieces, hashed, and encrypted. The data is then randomly distributed across the network. Redundant copies of the data are created as well so that if someone storing your file turns off their computer, you will still have access to your data. And don’t worry, even with pieces of your data on other people’s computers, they won’t be able to read them. You can earn MadeSafeCoins by participating in storing data pieces from the network on your computer and thus earning a Proof of Resource.
  4. Storj: Storj aims to become a cloud storage platform that can’t be censored or monitored, or have downtime. Your files are encrypted, shredded into little pieces called 'shards', and stored in a decentralized network of computers around the globe. No one but you has a complete copy of your file, not even in an encrypted form.

Market 11 - Cloud computing

Obviously, renting computing power, one of the biggest emerging markets as of recent years, e.g. AWS and Digital Ocean, is also a service, which can be bought and managed via the blockchain.
  1. Golem: Allows easy use of Supercomputer in exchange for tokens. People worldwide can rent out their computers to the network and get paid for that service with Golem tokens.
  2. Elf: Allows easy use of Cloud computing in exchange for tokens.

Market 12 - Stablecoin

Last but not least, there are 2 stablecoins that have established themselves within the market. A stable coin is a coin that wants to be independent of the volatility of the crypto markets. This has worked out pretty well for Maker and DGD, accomplished through a carefully diversified currency fund and backing each token by 1g or real gold respectively. DO NOT CONFUSE DGD AND MAKER with their STABLE COINS DGX and DAI. DGD and MAKER are volatile, because they are the companies of DGX and DAI. DGX and DAI are the stable coins.
  1. DGD: Platform of the Stablecoin DGX. Every DGX coin is backed by 1g of gold and make use proof of asset consensus.
  2. Maker: Platform of the Stablecoin DAI that doesn't vary much in price through widespread and smart diversification of assets.
EDIT: Added a risk factor from 0 to 10. The baseline is 2 for any crypto. Significant scandals, mishaps, shady practices, questionable technology, increase the risk factor. Not having a product yet automatically means a risk factor of 6. Strong adoption and thus strong scrutiny or positive community lower the risk factor.
EDIT2: Added a subjective potential factor from 0 to 10, where its overall potential and a small or big market cap is factored in. Bitcoin with lots of potential only gets a 9, because of its massive market cap, because if Bitcoin goes 10x, smaller coins go 100x, PIVX gets a 10 for being as good as Monero while carrying a 10x smaller market cap, which would make PIVX go 100x if Monero goes 10x.
submitted by galan77 to CryptoCurrency [link] [comments]

Forecasting - Time series methods - Example 1 - YouTube Forex Time Forecasting Geometry Excel - Time Series Forecasting - Part 2 of 3 - YouTube Time Series Prediction - YouTube Two Effective Algorithms for Time Series Forecasting - YouTube Forex Forecast Indicators and time series prediction systems. Stock and Forex Price Prediction using Machine Learning

Forex Time-Series Prediction Using TCN 7 stars 7 forks Star Watch Code; Issues 1; Pull requests 0; Actions; Projects 0; Security; Insights; Dismiss Join GitHub today. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Sign up. develop. 1 branch 0 tags. Go to file Code Clone HTTPS GitHub CLI Use Git or checkout ... Now you can plot the model's predictions on a wider window. Note the 3 input time steps before the first prediction. Every prediction here is based on the 3 preceding timesteps: wide_conv_window.plot(conv_model) Recurrent neural network. A Recurrent Neural Network (RNN) is a type of neural network well-suited to time series data. RNNs process a ... Transfer Learning for Time Series Prediction. Nshan Potikyan. Jun 11, 2019 · 5 min read. LSTM Recurrent Neural Networks turn out to be a good choice for time series prediction task, however the algorithm relies on the assumption that we have sufficient training and testing data coming from the same distribution. The challenge is that time-series data usually exhibit time-varying ... TSF, the Time Series Forecast indicator, consists of linear regression measurements using the Least Squares method. Linear regression is a statistical tool for forecasting future Forex market values comparing to past values. TSF tries to forecast the following Forex market value. For that purpose, it defines the trend's upward or downward declivity and stretches those results into the future ... This paper proposes a C-RNN forecasting method for Forex time series data based on deep-Recurrent Neural Network (RNN) and deep Convolutional Neural Network (CNN), which can further improve the prediction accuracy of deep learning algorithm for the time series data of exchange rate. We fully exploit the spatio-temporal characteristics of forex time series data based on the data-driven method ... Foreign Currency Exchange market (Forex) is a highly volatile complex time series for which predicting the daily trend is a challenging problem. In this paper, we investigate the prediction of the ... In [13] Ni et al propose a C-RNN method of prediction forex time series using RNN and CNN. In [16] Sezer and Ozbayogl propose an algorithmic trading model that use 15 technical indicators each ... GMDH Shell makes the most of your system to perform time series analysis in minimum time. The support for multiple processors, multi-core processors and HyperThreading technology allows the program to execute parallel computation and achieve precise forecasting results within impressively low time gaps. For example, a dataset of about 200,000 rows is analyzed in merely 37 minutes. Recently, I wrote about fitting mean-reversion time series analysis models to financial data and using the models’ predictions as the basis of a trading strategy. Continuing our exploration of time series modelling, let’s research the autoregressive and conditionally heteroskedastic family of time series models. Time series prediction problems are a difficult type of predictive modeling problem. Unlike regression predictive modeling, time series also adds the complexity of a sequence dependence among the input variables. A powerful type of neural network designed to handle sequence dependence is called recurrent neural networks. The Long Short-Term Memory network or LSTM network is a type of recurrent ...

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Forecasting - Time series methods - Example 1 - YouTube

In this video, you will learn how to find forecast using three time series forecasting methods - Simple moving average, weighted moving average and exponenti... In this final video of the Chart Reading Series I talk about a simple and powerful method to forecast changes in trend with simple geometry. Part 1: http://www.youtube.com/watch?v=gHdYEZA50KE&feature=youtu.be Part 3: http://www.youtube.com/watch?v=kcfiu-f88JQ&feature=youtu.be This is Part 2 of a 3... time series: red-line is real-time prediction given by a multi-layer neural network - Duration: 2 ... Forex Analysis. Predicting Market Movements with Lines, EUR/USD - Duration: 28:25. Janna FX ... Stock and Forex Price Prediction using Machine Learning ... LSTM for Time Series Prediction - Duration: 18 :50. Ian Felton 23,628 views. 18:50. Beginner Swing Trading with the TTM Squeeze ... In this talk, Danny Yuan explains intuitively fast Fourier transformation and recurrent neural network. He explores how the concepts play critical roles in t... Time series is the fastest growing category of data out there! It's a series of data points indexed in time order. Often, a time series is a sequence taken a...

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