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Former investment bank FX trader: Risk management part II

Former investment bank FX trader: Risk management part II
Firstly, thanks for the overwhelming comments and feedback. Genuinely really appreciated. I am pleased 500+ of you find it useful.
If you didn't read the first post you can do so here: risk management part I. You'll need to do so in order to make sense of the topic.
As ever please comment/reply below with questions or feedback and I'll do my best to get back to you.
Part II
  • Letting stops breathe
  • When to change a stop
  • Entering and exiting winning positions
  • Risk:reward ratios
  • Risk-adjusted returns

Letting stops breathe

We talked earlier about giving a position enough room to breathe so it is not stopped out in day-to-day noise.
Let’s consider the chart below and imagine you had a trailing stop. It would be super painful to miss out on the wider move just because you left a stop that was too tight.

Imagine being long and stopped out on a meaningless retracement ... ouch!
One simple technique is simply to look at your chosen chart - let’s say daily bars. And then look at previous trends and use the measuring tool. Those generally look something like this and then you just click and drag to measure.
For example if we wanted to bet on a downtrend on the chart above we might look at the biggest retracement on the previous uptrend. That max drawdown was about 100 pips or just under 1%. So you’d want your stop to be able to withstand at least that.
If market conditions have changed - for example if CVIX has risen - and daily ranges are now higher you should incorporate that. If you know a big event is coming up you might think about that, too. The human brain is a remarkable tool and the power of the eye-ball method is not to be dismissed. This is how most discretionary traders do it.
There are also more analytical approaches.
Some look at the Average True Range (ATR). This attempts to capture the volatility of a pair, typically averaged over a number of sessions. It looks at three separate measures and takes the largest reading. Think of this as a moving average of how much a pair moves.
For example, below shows the daily move in EURUSD was around 60 pips before spiking to 140 pips in March. Conditions were clearly far more volatile in March. Accordingly, you would need to leave your stop further away in March and take a correspondingly smaller position size.

ATR is available on pretty much all charting systems
Professional traders tend to use standard deviation as a measure of volatility instead of ATR. There are advantages and disadvantages to both. Averages are useful but can be misleading when regimes switch (see above chart).
Once you have chosen a measure of volatility, stop distance can then be back-tested and optimised. For example does 2x ATR work best or 5x ATR for a given style and time horizon?
Discretionary traders may still eye-ball the ATR or standard deviation to get a feeling for how it has changed over time and what ‘normal’ feels like for a chosen study period - daily, weekly, monthly etc.

Reasons to change a stop

As a general rule you should be disciplined and not change your stops. Remember - losers average losers. This is really hard at first and we’re going to look at that in more detail later.
There are some good reasons to modify stops but they are rare.
One reason is if another risk management process demands you stop trading and close positions. We’ll look at this later. In that case just close out your positions at market and take the loss/gains as they are.
Another is event risk. If you have some big upcoming data like Non Farm Payrolls that you know can move the market +/- 150 pips and you have no edge going into the release then many traders will take off or scale down their positions. They’ll go back into the positions when the data is out and the market has quietened down after fifteen minutes or so. This is a matter of some debate - many traders consider it a coin toss and argue you win some and lose some and it all averages out.
Trailing stops can also be used to ‘lock in’ profits. We looked at those before. As the trade moves in your favour (say up if you are long) the stop loss ratchets with it. This means you may well end up ‘stopping out’ at a profit - as per the below example.

The mighty trailing stop loss order
It is perfectly reasonable to have your stop loss move in the direction of PNL. This is not exposing you to more risk than you originally were comfortable with. It is taking less and less risk as the trade moves in your favour. Trend-followers in particular love trailing stops.
One final question traders ask is what they should do if they get stopped out but still like the trade. Should they try the same trade again a day later for the same reasons? Nope. Look for a different trade rather than getting emotionally wed to the original idea.
Let’s say a particular stock looked cheap based on valuation metrics yesterday, you bought, it went down and you got stopped out. Well, it is going to look even better on those same metrics today. Maybe the market just doesn’t respect value at the moment and is driven by momentum. Wait it out.
Otherwise, why even have a stop in the first place?

Entering and exiting winning positions

Take profits are the opposite of stop losses. They are also resting orders, left with the broker, to automatically close your position if it reaches a certain price.
Imagine I’m long EURUSD at 1.1250. If it hits a previous high of 1.1400 (150 pips higher) I will leave a sell order to take profit and close the position.
The rookie mistake on take profits is to take profit too early. One should start from the assumption that you will win on no more than half of your trades. Therefore you will need to ensure that you win more on the ones that work than you lose on those that don’t.

Sad to say but incredibly common: retail traders often take profits way too early
This is going to be the exact opposite of what your emotions want you to do. We are going to look at that in the Psychology of Trading chapter.
Remember: let winners run. Just like stops you need to know in advance the level where you will close out at a profit. Then let the trade happen. Don’t override yourself and let emotions force you to take a small profit. A classic mistake to avoid.
The trader puts on a trade and it almost stops out before rebounding. As soon as it is slightly in the money they spook and cut out, instead of letting it run to their original take profit. Do not do this.

Entering positions with limit orders

That covers exiting a position but how about getting into one?
Take profits can also be left speculatively to enter a position. Sometimes referred to as “bids” (buy orders) or “offers” (sell orders). Imagine the price is 1.1250 and the recent low is 1.1205.
You might wish to leave a bid around 1.2010 to enter a long position, if the market reaches that price. This way you don’t need to sit at the computer and wait.
Again, typically traders will use tech analysis to identify attractive levels. Again - other traders will cluster with your orders. Just like the stop loss we need to bake that in.
So this time if we know everyone is going to buy around the recent low of 1.1205 we might leave the take profit bit a little bit above there at 1.1210 to ensure it gets done. Sure it costs 5 more pips but how mad would you be if the low was 1.1207 and then it rallied a hundred points and you didn’t have the trade on?!
There are two more methods that traders often use for entering a position.
Scaling in is one such technique. Let’s imagine that you think we are in a long-term bulltrend for AUDUSD but experiencing a brief retracement. You want to take a total position of 500,000 AUD and don’t have a strong view on the current price action.
You might therefore leave a series of five bids of 100,000. As the price moves lower each one gets hit. The nice thing about scaling in is it reduces pressure on you to pick the perfect level. Of course the risk is that not all your orders get hit before the price moves higher and you have to trade at-market.
Pyramiding is the second technique. Pyramiding is for take profits what a trailing stop loss is to regular stops. It is especially common for momentum traders.

Pyramiding into a position means buying more as it goes in your favour
Again let’s imagine we’re bullish AUDUSD and want to take a position of 500,000 AUD.
Here we add 100,000 when our first signal is reached. Then we add subsequent clips of 100,000 when the trade moves in our favour. We are waiting for confirmation that the move is correct.
Obviously this is quite nice as we humans love trading when it goes in our direction. However, the drawback is obvious: we haven’t had the full amount of risk on from the start of the trend.
You can see the attractions and drawbacks of both approaches. It is best to experiment and choose techniques that work for your own personal psychology as these will be the easiest for you to stick with and build a disciplined process around.

Risk:reward and win ratios

Be extremely skeptical of people who claim to win on 80% of trades. Most traders will win on roughly 50% of trades and lose on 50% of trades. This is why risk management is so important!
Once you start keeping a trading journal you’ll be able to see how the win/loss ratio looks for you. Until then, assume you’re typical and that every other trade will lose money.
If that is the case then you need to be sure you make more on the wins than you lose on the losses. You can see the effect of this below.

A combination of win % and risk:reward ratio determine if you are profitable
A typical rule of thumb is that a ratio of 1:3 works well for most traders.
That is, if you are prepared to risk 100 pips on your stop you should be setting a take profit at a level that would return you 300 pips.
One needn’t be religious about these numbers - 11 pips and 28 pips would be perfectly fine - but they are a guideline.
Again - you should still use technical analysis to find meaningful chart levels for both the stop and take profit. Don’t just blindly take your stop distance and do 3x the pips on the other side as your take profit. Use the ratio to set approximate targets and then look for a relevant resistance or support level in that kind of region.

Risk-adjusted returns

Not all returns are equal. Suppose you are examining the track record of two traders. Now, both have produced a return of 14% over the year. Not bad!
The first trader, however, made hundreds of small bets throughout the year and his cumulative PNL looked like the left image below.
The second trader made just one bet — he sold CADJPY at the start of the year — and his PNL looked like the right image below with lots of large drawdowns and volatility.
Would you rather have the first trading record or the second?
If you were investing money and betting on who would do well next year which would you choose? Of course all sensible people would choose the first trader. Yet if you look only at returns one cannot distinguish between the two. Both are up 14% at that point in time. This is where the Sharpe ratio helps .
A high Sharpe ratio indicates that a portfolio has better risk-adjusted performance. One cannot sensibly compare returns without considering the risk taken to earn that return.
If I can earn 80% of the return of another investor at only 50% of the risk then a rational investor should simply leverage me at 2x and enjoy 160% of the return at the same level of risk.
This is very important in the context of Execution Advisor algorithms (EAs) that are popular in the retail community. You must evaluate historic performance by its risk-adjusted return — not just the nominal return. Incidentally look at the Sharpe ratio of ones that have been live for a year or more ...
Otherwise an EA developer could produce two EAs: the first simply buys at 1000:1 leverage on January 1st ; and the second sells in the same manner. At the end of the year, one of them will be discarded and the other will look incredible. Its risk-adjusted return, however, would be abysmal and the odds of repeated success are similarly poor.

Sharpe ratio

The Sharpe ratio works like this:
  • It takes the average returns of your strategy;
  • It deducts from these the risk-free rate of return i.e. the rate anyone could have got by investing in US government bonds with very little risk;
  • It then divides this total return by its own volatility - the more smooth the return the higher and better the Sharpe, the more volatile the lower and worse the Sharpe.
For example, say the return last year was 15% with a volatility of 10% and US bonds are trading at 2%. That gives (15-2)/10 or a Sharpe ratio of 1.3. As a rule of thumb a Sharpe ratio of above 0.5 would be considered decent for a discretionary retail trader. Above 1 is excellent.
You don’t really need to know how to calculate Sharpe ratios. Good trading software will do this for you. It will either be available in the system by default or you can add a plug-in.

VAR

VAR is another useful measure to help with drawdowns. It stands for Value at Risk. Normally people will use 99% VAR (conservative) or 95% VAR (aggressive). Let’s say you’re long EURUSD and using 95% VAR. The system will look at the historic movement of EURUSD. It might spit out a number of -1.2%.

A 5% VAR of -1.2% tells you you should expect to lose 1.2% on 5% of days, whilst 95% of days should be better than that
This means it is expected that on 5 days out of 100 (hence the 95%) the portfolio will lose 1.2% or more. This can help you manage your capital by taking appropriately sized positions. Typically you would look at VAR across your portfolio of trades rather than trade by trade.
Sharpe ratios and VAR don’t give you the whole picture, though. Legendary fund manager, Howard Marks of Oaktree, notes that, while tools like VAR and Sharpe ratios are helpful and absolutely necessary, the best investors will also overlay their own judgment.
Investors can calculate risk metrics like VaR and Sharpe ratios (we use them at Oaktree; they’re the best tools we have), but they shouldn’t put too much faith in them. The bottom line for me is that risk management should be the responsibility of every participant in the investment process, applying experience, judgment and knowledge of the underlying investments.Howard Marks of Oaktree Capital
What he’s saying is don’t misplace your common sense. Do use these tools as they are helpful. However, you cannot fully rely on them. Both assume a normal distribution of returns. Whereas in real life you get “black swans” - events that should supposedly happen only once every thousand years but which actually seem to happen fairly often.
These outlier events are often referred to as “tail risk”. Don’t make the mistake of saying “well, the model said…” - overlay what the model is telling you with your own common sense and good judgment.

Coming up in part III

Available here
Squeezes and other risks
Market positioning
Bet correlation
Crap trades, timeouts and monthly limits

***
Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
submitted by getmrmarket to Forex [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

Statistical Edge Trading

Statistical Edge Trading

Statistical Edge Trading

Have you ever traded with statistical edge? Our Allen trade talks about backing up the trading network and leveraging it from excellent newspapering. This is a stage that is undermined by many traders but fairly, it can be a crucial factor in boosting your trust and believing in your system. For those interested in this sort of research, you can check out the FTMO Statistical Application.
Trading with a Statistical edge
Although many traders back-test and record their trades to verify the trading system 's feasibility, monitoring and using the data to maximize both your stop loss and profit goal is a tremendous advantage. Two of the most critical pieces of data that I record when reporting trades is the drawdown and the benefit potential.

The drawdown, to be sure, is how far a trade goes against my place before it goes in my favour.

Whereas the benefit potential is the maximum distance from my entry which the trade moves in my favor. It isn't important and it's uncommon, in general, that I actually exit the trade. Yet definitely coming out at or as close as can be.
Firstly, I record my trades in two ways, using screenshots of the charts themselves where I annotate my entry, date, type of trade and all other relevant details related to my methodology, such as strength and weakness analysis , multiple time frame analysis and correlation. I also note on the map the drawdown and benefit potential of the trade.

Then I go through my Excel spreadsheet with main details. See "excel" below.

Excel spreadsheet with main details.

This includes the date, day, session, pair, time, route, entry price, closing price, type of setup, type of entry, type of exit, drawdown, potential for benefit and outcome. I then let excel do all the heavy lifting for myself as I can sort my trades numerous ways, by day, by session, by pair, by route, by type of set-up etc.

But where the really cool stuff is under the "Mind-blowing stats" tab where I have some of the above filterable statistics that will help me to optimize both my stop loss and my benefit goal.

Here is a summary of the specification.

When you use a risk percentage account to calculate your position size (as you should), so the lower the pause, the larger a position size you will trade in. The stop must, therefore, have a high likelihood of remaining. The vast majority of trading books, guides, videos, etc., advise that after a recent high / low swing, the stop will be many pips.

But my trade documents helped me to come up with a statistical advantage for my stoppage placement.

As can be seen in the "Drawdown" tag, Trading my Type 1 BO (breakout out) on GBPAUD, 79.55 percent of the time my drawdown was less than 25 pips, although it was just 81.82 percent at 30 pips and 84.09 percent at 35 pips.

Statistical Edge Trading
So when using a larger pause, an extra loss or 2, the advantage of having a greater size of the place and thereby netting more money makes the extra loss(s) inconsequential.

Furthermore, the income goal can also be optimized.

Looking at the "Profit Potential" connection and remaining on GBPAUD again for my Type 1 BO trades, we can easily see that almost 80 percent of the time, those trades get between 20 and 30 pips.

Statistical Edge Trading (b)
It is a perfect place to take off 1/2 of the spot and push the stop to flat. So we can let the rest of the half run to about 50 pips where 59.09 percent of the trades touch.

Obviously market conditions aren't always the same, so if you can recognise when they are, i.e. linked moves or strengthening or weakening other classes (commodity pairs or safe haven pairs), then you can make educated decisions about how far a trade will go.

Statistical Edge Trading (meme)

I hope this information 's helpful to you.

Eva " Forex " Canares .
Cheers and Profitable Trading to All.

About FTMO -
They fund forex traders. Just Pass their risk management rules and begin trading for their company. They'll provide you capital up to $300k USD for trading the financial markets. 70% of profits you keep and losses are covered by them. How does it work?
How to Become a Funded Forex ,Stocks or CryptoCurrency Trader?
submitted by Eva_Canares to FTMO_Forex_Trading [link] [comments]

Wall Street Week Ahead for the trading week beginning September 23rd, 2019

Good Saturday morning to all of you here on wallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 23rd, 2019.

Week ahead: As stocks struggle to break to new highs, markets could be swayed by Fed speakers, trade - (Source)

Developments in U.S.-Chinese trade talks and the comments from a host of Fed speakers could be important for markets in the week ahead, as stocks struggle to regain highs.
The Fed in the past week cut interest rates for the second time in two months, but the latest forecasts of Fed officials showed just how divided they are on the need for future rate cuts. Five wanted deeper cuts, five didn’t want any cuts and another seven were happy with the Fed’s action.
“The market seems like it’s pretty jumpy based on what the say. i think it would flip back and forth depending on how the headlines come out,” said Tom Simons, money market economist at Jefferies. Simons said the focus will also be on the Fed’s operations in the short-term funding market, after turbulence in the overnight market in the past week temporarily sent some overnight rates sharply higher.
There are nearly a dozen Fed speakers on the calendar in the coming week, but Fed Chairman Jerome Powell is not scheduled to speak.
Trade developments could continue to cause volatility in markets. Reports Friday that Chinese agriculture officials canceled visits to farms in Montana and Nebraska sent stocks lower, for fear it signaled that talks were not making progress.
Stocks in the past week were lower, with the S&P off about 0.5% to 2,992. The index had been around 1% away from its all-time high for a few weeks.
“Tech that has been out of play and is acting faulty. it’s now turning into a headwind, and that could cause a problem for the bulls,” said Scott Redler, partner with T3Live.com. “I haven’t seen so many mixed signals in the market in quite some time.”
“It’s hard for the market to make new highs without tech. At best, it’s concerning when you see key names, like Amazon and Netflix, not just failing to lead but faltering,” he said. Netflix was down more than 8% for the week, and Amazon was off 2.6%.
Redler said it was a concern that shares of market leader Microsoft gave up its initial gains and turned negative, soon after it announced a buyback and raised its dividend. “Strength was sold instead of embraced,” he said. “That was good news. What are they going to do when bad news happens?”
Following the attacks on Saudi Aramco last week, the United Nations General Assembly in New York and meetings around it take on more importance for markets. U.S. and Saudi Arabian officials have said Iran was behind the attack, which knocked a significant amount of Saudi oil production off line. Iran has denied involvement, and Houthi rebels in Yemen have claimed responsibility.
Iran’ President Hassan Rouhani has been given a visa to travel to New York for the UN. Before the attack on Saudi Arabia last week, President Donald Trump had suggested he would speak to Rouhani but there seems little chance of that now. Oil have been highly volatile, with Brent crude futures up 7% since the attack as Saudi Arabia sought to assure markets that it would be able to bring its operations back on line.
There is some economic data that will also be important to markets. There is manufacturing PMI Monday, important after ISM manufacturing data showed a contraction in August. Durable goods will also be important on Friday, as will personal consumption data, which includes the Fed’s preferred inflation indicator, the core PCE deflator.
“What Powell said in his remarks was inflation was below his target,” said Marc Chandler, chief market strategist at Bannockburn Global Forex. “But even the core PCE deflator is expected to be 1.8, a new high for the year.” The Fed’s target inflation rate is 2%, and other inflation measures have been above that, including core CPI.
The Fed will also be in focus after problems in the overnight funding market, used by banks in need of short term cash. Rates spiked for repo, or repurchase agreements, in a chaotic two-day period Monday and Tuesday. The Fed’s target fed funds rate also moved above its target range, in an unusual move.
The market has since calmed after the Fed carried out open market operations to add liquidity to the market. On Friday, it announced three 14-day operations involving $30 billion as well as continued overnight operations of at least $75 billion each.
“I think the Fed has absolute control over short term rates. It was caught sleeping at the wheel,” said Chandler.
Powell said the Fed would monitor the market and take whatever action is needed. The market is considered the basic plumbing for financial markets, where banks who have a short-term need for cash come to fund themselves. The odd spike in rates was viewed as the result of a cash crunch, not a credit crisis.
Bond market pros have been concerned that the Fed would again see strains in the market at month end, when there’s more activity in the overnight funding market.
“It gets you further past quarter end,” said Jon Hill, rate strategist at BMO. “A 14-day pushes them further into October. I think nerves will have calmed. The fact you’ll see fed funds print clearly in the range will reassert confidence. These operations will serve as a reminder that the Fed can have absolute control the front end if and when it wants to. This is a good thing.”
The funds rate was at 1.90% Thursday, within the target rate range of 1.75% to 2%.
“They’re removing any doubt of their ability to take control of fed funds in the modern framework. They just announced $165 billion over quarter-end , and we may go bigger. They haven’t done a repo injection in 10 years,” said Hill.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Sector Performance WTD, MTD, YTD:

(CLICK HERE FOR FRIDAY'S PERFORMANCE!)
(CLICK HERE FOR THE WEEK-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE MONTH-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 3-MONTH PERFORMANCE!)
(CLICK HERE FOR THE YEAR-TO-DATE PERFORMANCE!)
(CLICK HERE FOR THE 52-WEEK PERFORMANCE!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

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Friday's Stock Analyst Upgrades & Downgrades:

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S&P 500 down 23 of 29 during week after September options expiration, average loss 0.95%

The week after September options expiration week, next week, has a dreadful history of declines especially since 1990. The week after September options expiration week has been a nearly constant source of pain with only a few meaningful exceptions over the past 29 years. Substantial and across the board gains have occurred just three times: 1998, 2001, 2010 and 2016 while many more weeks were hit with sizable losses.
Full stats are in the following sea-of-red table. Average losses since 1990 are even worse; DJIA –1.02%, S&P 500 –0.95%, NASDAQ –0.90% and a sizable –1.38% for Russell 2000. End-of-Q3 portfolio restructuring is the most likely explanation for this trend as managers trim summer losers and position for the fourth quarter.
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October Challenging in Pre-Election Years

October often evokes fear on Wall Street as memories are stirred of crashes in 1929, 1987, the 554-point drop on October 27, 1997, back-to-back massacres in 1978 and 1979, Friday the 13th in 1989 and the 733-point drop on October 15, 2008. During the week ending October 10, 2008, Dow lost 1,874.19 points (18.2%), the worst weekly decline in our database going back to 1901, in point and percentage terms. The term “Octoberphobia” has been used to describe the phenomenon of major market drops occurring during the month. Market calamities can become a self-fulfilling prophecy, so stay on the lookout and don’t get whipsawed if it happens.
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Pre-election year Octobers are ranked second from last for DJIA, S&P 500 and NASDAQ while Russell 2000 is dead last with an average loss of 1.9%. Eliminating gruesome 1987 from the calculation provides only a moderate amount of relief. Should a meaningful decline materialize in October it is likely to be an excellent buying opportunity, especially for depressed technology and small-cap shares.

Where’s That September Volatility?

September is historically known as one of the worst for stocks, yet in 2019 the S&P 500 Index is up 2.7% so far amid a sea of scary headlines. Incredibly, the S&P 500 has wavered less than 0.1% from its previous close 6 of the past 10 trading sessions, as it consolidates just beneath all-time highs.
“Over the past two weeks we’ve had the European Central Bank meeting, the Federal Reserve meeting, higher inflation, a historic jump in crude oil, Middle East turmoil, trouble in the repo market, and even multiple NFL quarterbacks sustaining major injuries,” said LPL Financial Senior Market Strategist Ryan Detrick. “Yet, with all of those scary headlines, stocks are actually in the midst of one of the least volatile two-week stretches we’ve seen in years.”
We are quite encouraged by the overall change in market tone we’ve heard recently, with more cyclical names taking the baton and leading, but with the S&P 500 up near our fair value target of 3,000, we would be on the lookout for this sea of tranquility to get rougher at any time. In fact, according to historical calendars, we may need to be on high guard for the second half of September.
As shown in the LPL Chart of the Day, The Second Half of September Can Be Tricky For Stocks, later in the month of September is when we’ve seen seasonal weakness. Things have been going well for equities in the face of some worrisome headlines, but don’t get complacent, as the calendar could be one of the biggest near-term risks.
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The Fed Hits It Down The Middle

“History does not repeat itself, but it rhymes.” Mark Twain
As expected, the Federal Reserve’s (Fed) policy committee cut its policy rate by 25 basis points (.25%) to a target range of 1.75%–2%. This comes on the heels of the first rate cut in more than 10 years at the end of July. This cut is somewhat more controversial, however, because the overall U.S. economic data has been improving, and there’s been a tick higher in inflation.
One of the most important questions heading into this meeting was how many voting Fed members would support additional rate cuts. There were two dissenting voting members at the July rate cut, and once again there were two votes opposed to today’s cut—but unlike last time, there was also one dissenter who favored a larger 50 basis point (.50%) cut. Materials in the economic projections indicated 10 of 17 participants (which includes non-voting members) did not believe additional cuts would be needed over the remainder of the year, although evolving economic conditions could certainly lead to a shift.
As the quote from Mark Twain suggests, by looking back at history we can potentially find clues as to what might happen in the future.
Looking back at the previous two recessions (2001 and 2008), the Fed cut rates 50 basis points (.50%) to kick off the new cycle of rate cuts. We looked back at what the Fed said at the time, and policymakers didn’t foresee a recession; the larger .50% cut might have been their way of showing how worried they really were at the time. In other words, maybe the Fed knew there potentially was trouble under the surface.
Compare this with three consecutive 25 basis point (.25%) cuts in the 1995/1996 and 1998 rate cut cycles, which led to continued equity gains and avoided recessions. Given we foresee one more cut this year, could it be another three cuts of 25 basis points (.25%) and then an economic acceleration?
“Here’s the catch. When the first two cuts in a new cycle of rate cuts are only 25 basis points, this could be the Fed’s way of truly viewing the cuts as insurance,” explained LPL Financial Senior Market Strategist Ryan Detrick. “In fact, the past five cycles of cuts that started with two 25 basis point cuts saw the S&P 500 Index move higher 6 and 12 months later every single time.”
As shown in the LPL Chart of the Day, Stocks Have Historically Done Well If The First Two Fed Rate Cuts Are 25 Basis Points, the S&P 500 was up an average of 9.7% six months after the second of two 25 basis point cuts to kick off a new cycle of rate cuts. Going out a year, the S&P 500 had gained a very impressive average of 16.7%.
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Strong Start for September, but Second Half Could Bring Trouble

As of Friday’s close the market is well above historical average performance in September. DJIA was up nearly 3.1%, S&P 500 was up 2.8%, NASDAQ and Russell 1000 were up 2.7% while Russell 2000 was up 5.6%. Small-caps outperforming large-caps recently is not unusual and they did so again today. However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 29 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
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Broader Transports Still Outperforming YTD

With shares of FedEx (FDX) on pace for their second worst earnings reaction day since at least 2001, the Dow Transports, an index in which FDX has a weighting of over 8% (after today's decline), is down close to 2%. Historically, the Transports have been considered a leading indicator of the economy, so the weakness in FDX, and by extension, the Dow Transports, is resulting in heightened concerns over the state of the economy. Looking at the chart below, the picture for the Transports doesn't look pretty. The timing of today's decline couldn't have been worse as it came just as the Transports were attempting to break above the highs from July, but now it just looks like the second lower high this year. Following today's declines, the Dow Transports are up 14.7% YTD which is about five percentage points behind the performance of the S&P 500.
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Given the changes in the US economy over time, we've been skeptical of the continued predictive ability of the Transports, but even putting that aside for a moment, a broader look at Transports shows a less pessimistic picture. The chart below shows the performance of the stocks in the S&P 1500 index on an equal-weighted basis so far in 2019. By this measure, today's decline comes after the index made a higher high, and while it's back below those former highs today, with a gain of 20.5% YTD, this broader look at transports is still outperforming the S&P 500 on a YTD basis. It may not be a great picture for this group of transport stocks, but it doesn't really look bad either.
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STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 20th, 2019

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STOCK MARKET VIDEO: ShadowTrader Video Weekly 09.22.19

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Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $MU
  • $NIO
  • $AZO
  • $KMX
  • $NKE
  • $BB
  • $RAD
  • $CMD
  • $ACN
  • $UXIN
  • $JBL
  • $INFO
  • $CAG
  • $DAVA
  • $MANU
  • $SNX
  • $FDS
  • $KBH
  • $UEPS
  • $ATU
  • $CTAS
  • $MTN
  • $AGTC
  • $WOR
  • $PIR
  • $ISR
  • $DLNG
  • $CAMP
  • $AIR
  • $FUL
  • $PRGS
  • $CMTL
  • $DYNT
  • $RBZ
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
(CLICK HERE FOR MOST ANTICIPATED EARNINGS RELEASES FOR THE NEXT 5 WEEKS!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.23.19 Before Market Open:

(CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Monday 9.23.19 After Market Close:

([CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!]())
NONE.

Tuesday 9.24.19 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Tuesday 9.24.19 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Wednesday 9.25.19 Before Market Open:

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Wednesday 9.25.19 After Market Close:

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Thursday 9.26.19 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES LINK!)

Thursday 9.26.19 After Market Close:

(CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES LINK!)

Friday 9.27.19 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Friday 9.27.19 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
NONE.

Micron Technology, Inc. $49.16

Micron Technology, Inc. (MU) is confirmed to report earnings at approximately 4:05 PM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.43 per share on revenue of $4.51 billion and the Earnings Whisper ® number is $0.49 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat The company's guidance was for earnings of $0.38 to $0.52 per share. Consensus estimates are for earnings to decline year-over-year by 87.92% with revenue decreasing by 46.56%. Short interest has decreased by 21.7% since the company's last earnings release while the stock has drifted higher by 37.1% from its open following the earnings release to be 23.2% above its 200 day moving average of $39.90. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 12,865 contracts of the $50.00 put expiring on Friday, September 27, 2019. Option traders are pricing in a 7.5% move on earnings and the stock has averaged a 7.1% move in recent quarters.

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NIO Inc. $3.04

NIO Inc. (NIO) is confirmed to report earnings at approximately 4:30 AM ET on Tuesday, September 24, 2019. Investor sentiment going into the company's earnings release has 51% expecting an earnings beat The company's guidance was for revenue of $169.00 million to $193.00 million. Short interest has increased by 25.8% since the company's last earnings release while the stock has drifted lower by 26.2% from its open following the earnings release to be 39.6% below its 200 day moving average of $5.03. On Wednesday, September 4, 2019 there was some notable buying of 40,590 contracts of the $1.50 put expiring on Friday, November 15, 2019. Option traders are pricing in a 17.1% move on earnings and the stock has averaged a 9.7% move in recent quarters.

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AutoZone, Inc. -

AutoZone, Inc. (AZO) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $21.64 per share on revenue of $3.94 billion and the Earnings Whisper ® number is $21.98 per share. Investor sentiment going into the company's earnings release has 62% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 16.72% with revenue increasing by 10.71%. Short interest has increased by 23.5% since the company's last earnings release while the stock has drifted higher by 15.1% from its open following the earnings release to be 15.6% above its 200 day moving average of $1,003.22. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 5.8% move on earnings and the stock has averaged a 6.7% move in recent quarters.

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CarMax, Inc. $84.63

CarMax, Inc. (KMX) is confirmed to report earnings at approximately 7:35 AM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $1.33 per share on revenue of $5.03 billion and the Earnings Whisper ® number is $1.38 per share. Investor sentiment going into the company's earnings release has 63% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 7.26% with revenue increasing by 5.54%. Short interest has increased by 0.7% since the company's last earnings release while the stock has drifted lower by 3.6% from its open following the earnings release to be 14.9% above its 200 day moving average of $73.63. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, September 6, 2019 there was some notable buying of 1,023 contracts of the $92.50 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.2% move on earnings and the stock has averaged a 6.0% move in recent quarters.

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Nike Inc $86.68

Nike Inc (NKE) is confirmed to report earnings at approximately 4:15 PM ET on Tuesday, September 24, 2019. The consensus earnings estimate is $0.71 per share on revenue of $10.45 billion and the Earnings Whisper ® number is $0.76 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 5.97% with revenue increasing by 5.05%. Short interest has increased by 0.4% since the company's last earnings release while the stock has drifted higher by 3.2% from its open following the earnings release to be 5.1% above its 200 day moving average of $82.50. Overall earnings estimates have been revised lower since the company's last earnings release. On Monday, September 16, 2019 there was some notable buying of 4,646 contracts of the $84.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 5.2% move on earnings and the stock has averaged a 4.5% move in recent quarters.

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BlackBerry Limited $7.54

BlackBerry Limited (BB) is confirmed to report earnings at approximately 7:00 AM ET on Tuesday, September 24, 2019. The consensus estimate is for a loss of $0.01 per share and the Earnings Whisper ® number is $0.01 per share. Investor sentiment going into the company's earnings release has 32% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 150.00% with revenue increasing by 375.71%. Short interest has increased by 1.0% since the company's last earnings release while the stock has drifted lower by 9.2% from its open following the earnings release to be 6.9% below its 200 day moving average of $8.10. Overall earnings estimates have been revised higher since the company's last earnings release. On Tuesday, September 17, 2019 there was some notable buying of 2,012 contracts of the $8.00 call expiring on Friday, September 27, 2019. Option traders are pricing in a 9.9% move on earnings and the stock has averaged a 7.9% move in recent quarters.

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Rite Aid Corp. $7.40

Rite Aid Corp. (RAD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $0.08 per share on revenue of $5.42 billion and the Earnings Whisper ® number is $0.10 per share. Investor sentiment going into the company's earnings release has 50% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 900.00% with revenue decreasing by 0.03%. Short interest has increased by 22.2% since the company's last earnings release while the stock has drifted higher by 5.1% from its open following the earnings release to be 36.4% below its 200 day moving average of $11.64. On Wednesday, September 18, 2019 there was some notable buying of 580 contracts of the $7.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 20.7% move on earnings and the stock has averaged a 20.5% move in recent quarters.

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Cantel Medical Corp. $85.02

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 8:00 AM ET on Monday, September 23, 2019. The consensus earnings estimate is $0.61 per share on revenue of $238.60 million and the Earnings Whisper ® number is $0.61 per share. Investor sentiment going into the company's earnings release has 55% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 1.61% with revenue increasing by 4.26%. Short interest has increased by 47.7% since the company's last earnings release while the stock has drifted higher by 27.5% from its open following the earnings release to be 10.7% above its 200 day moving average of $76.78. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 571 contracts of the $90.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 7.0% move on earnings and the stock has averaged a 6.9% move in recent quarters.

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Accenture Ltd. $193.09

Accenture Ltd. (ACN) is confirmed to report earnings at approximately 6:50 AM ET on Thursday, September 26, 2019. The consensus earnings estimate is $1.71 per share on revenue of $11.08 billion and the Earnings Whisper ® number is $1.74 per share. Investor sentiment going into the company's earnings release has 67% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 8.23% with revenue increasing by 4.11%. Short interest has increased by 23.3% since the company's last earnings release while the stock has drifted higher by 8.0% from its open following the earnings release to be 11.3% above its 200 day moving average of $173.47. Overall earnings estimates have been unchanged since the company's last earnings release. On Friday, September 13, 2019 there was some notable buying of 1,279 contracts of the $115.00 put expiring on Friday, November 15, 2019. Option traders are pricing in a 4.5% move on earnings and the stock has averaged a 4.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Uxin Limited $3.26

Uxin Limited (UXIN) is confirmed to report earnings before the market opens on Monday, September 23, 2019. The consensus estimate is for a loss of $0.09 per share. Investor sentiment going into the company's earnings release has 66% expecting an earnings beat The company's guidance was for revenue of $130.00 million to $137.00 million. Consensus estimates are for earnings to decline year-over-year by 200.00% with revenue increasing by 892.95%. The stock has drifted higher by 44.9% from its open following the earnings release to be 4.5% below its 200 day moving average of $3.41. Overall earnings estimates have been revised lower since the company's last earnings release. On Friday, September 20, 2019 there was some notable buying of 509 contracts of the $4.00 call expiring on Friday, October 18, 2019. Option traders are pricing in a 24.5% move on earnings and the stock has averaged a 10.5% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead wallstreetbets.
submitted by bigbear0083 to wallstreetbets [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]

Why is Expert Advisors tested?

Why is Expert Advisors tested?

https://preview.redd.it/r7y92ugo5bc41.png?width=600&format=png&auto=webp&s=14c8d7adb31d9d7936b826e6a01ba42e5c7f079e
To make trading on the Forex market not only profitable, but also comfortable, many traders use automatic trading systems, or, as they are also called, Forex robots or EA (Expert Advisor).
What are EA for? The answer is very simple. If you want to not miss a single opportunity to open or close a profitable transaction, then you need to watch the market around the clock, which no one is able to do.
In addition, the trader does not always manage to cope with his emotions, and he makes trading decisions based not on calculation and logic, but on his own feelings - for example, a feeling of excitement or, conversely, excitement. Often such transactions are unprofitable. An Expert Advisor does not have emotions, which means that the human factor can be immediately excluded from trading, which greatly increases the effectiveness of trading.
There are many things to consider when choosing the most profitable and result-oriented EA. For example, it is strongly recommended, before choosing an expert advisor, to pay attention to profit / loss, risk / profit, stop-limits and other relevant statistics by conducting a test inside the platform on historical data. Even if you choose an expert advisor with an excellent reputation, there is always a risk of loss, nevertheless. Thus, it is also important to find out the degree of risk that you are willing to take.
Before using EAs in real trading, you need to test expert advisor - for example, on a demo account or on archive quotes.
Please note that the quality of the history of quotes for different forex brokers is different, which can cause serious discrepancies in the results of testing one expert advisor on accounts from different brokers.
This is necessary in order to understand how effective one or another automatic program is and not to risk one’s own means. After all, if it turns out that on a demo account the EA proved to be not the best and did not bring you the expected profit, then you should not use this expert advisor in real trading (or you need to better configure its work). But if you see that the expert advisor is showing good trading results, then it should be noted.
Testing an expert advisor before use is a prerequisite for profitable trading.
submitted by alex_fortran to u/alex_fortran [link] [comments]

Genesis Vision - Development Progress Mega TL;DR

Genesis Vision - TL;DR
As usual I post this every few months or so after a significant update, to inform both old & new investors
Best places to stay up to date:
Upcoming developments:
Not developments as such, but we can also expect:
2019 Progress:
  • Fund reallocation history added
  • Manager financial statistics page added
  • Additional period history tab added
  • Ability to change brokers
  • Most of the terms on the platform will now display definitions when you hover your mouse cursor over them.
  • In the “Trades” tab on a page of a program, you can now export trading data for the selected period to Excel
  • You can now filter GV Funds by assets
  • When an investor creates a withdrawal request from an investment program, it automatically cancels the previous one.
  • Investors can now select an option to “Withdraw all”
  • Managers now have a separate “Program settings” section
  • The design of the “Program” page was updated and given a facelift. The new version now shows the program’s broker of choice, leverage, duration of the reporting period and more.
  • Addition of program ages to dashboard
  • Managers can now attach social network profiles to their accounts
  • Level/investment calculator
  • Complete revamp of the leveling system
  • First token burn - 1872 GVT / $5821.5 burnt
  • Copytrading & Signals released
  • Integration with Exante - Now full access to over 10,000 additional assets
  • Full integration with Huobi where traders can manage funds through the native Huobi UI
  • Adding new token listings on Huobi & Binance as soon as possible to GV Funds & Programs
  • Risk tags (high/medium/low) added to manager profiles
  • Added ability to hide closed programs in personal dashboard
  • Added open positions into the balance. So you can watch the performance of a program through both its closed and open positions
  • Added visibility to closed programs. So you can now see every program that was opened and managed by a manager
  • Additional tokens already added to GV Funds
  • QUARTERLY GV TOKEN BURN - Starting June 30th 2019
  • Roboforex Integration
  • Ability to short on the platform (via RoboForex)
  • Chain Plus conference in Seoul Korea
  • Genesis Markets & all of its materials translated into Chinese
  • Huobi/Genesis Markets bridge complete
  • Copytrading features
  • Signals w/subscriptions
  • Multicurrency wallet
  • Stop Outs
  • Platform Tags
  • Platform model change (less selling pressure on the GVT token)
  • Additional discounts both for copy trading and investment programs for HODLing GVT
2018 Progress:
  • Metatrader integration
  • Genesis Vision Alpha Version
  • IPFS Integration
  • Numerous trading competitions
  • Launch of Genesis Markets
  • Launch of the iOS & Android Genesis Vision apps
  • Live Platform Launch ~ 30th October
  • Completely overhauled UI/UX for iOS, Android, Investors & Manager portals
  • Fresh website for GV & GM
  • Finance Magnates London Summit
  • Sofia Investor Finance Forum
  • Huobi prestige Investors Fireside Dialogue (speakers)
  • Launch of Genesis Vision Funds
  • Removal of entry fees for level 1 & 2 managers
  • New leveling system -> https://blog.genesis.vision/do-your-level-best-7dc47d16b44e
  • Forex trading went live -> https://blog.genesis.vision/its-forex-time-89a72c7f5fac
In the works for the future (some speculation)
  • Chinese promotion - The platform and all of the reading materials will be translated into Chinese
  • Exploring the possibility of using Binance Chain
  • Genesis Vision DEX
  • Genesis Vision Network -> https://blog.genesis.vision/genesis-vision-network-10bf3e749688
  • Fiat Gateway
  • Bank & Stocks Integration
  • Further platform development for GV & Genesis Markets
  • Further development of all versions of the platform, ie iOS & Android
  • I personally believe we will see GVT listed on some exchanges in 2019
Current Partnerships/Integrations:
Platform statistics
  • Follow @GVTProgressBot on Twitter for updates every 24 hours
The team posted their results for Q1 2019 profits in this article:
Some more info on revenue:
Firstly, I am not part of the team, so any replies are just from research I have done into the project and available information:
1.) The team confirmed that there are 40 people working for Genesis Vision 25 are working in the office and 15 remotely. Jump in the TG if you would like to know more info or even talk to some of the other team members direct. Dmitry Nazarov = CEO, Ruslan Kamensky = Head of Development. (You can do your background research on these guys, they've got skills).
2.) Can't comment accurately on funds, because well, that's the teams business. Ofc a responsible investor should try and find out as much info as they can however.
  • The ICO raised -> $2,836,724 when ETH was around $250-$300 pre-bull run (you do the math).
  • The team/development tokens also amounted to 709,862 GVT/16% of the supply, these funds would/will have been used for development, these were locked for 1 year and released approx October 2018
3.) Sustainability is a big one. This is why I continue to follow GVT daily because I believe the Genesis Vision model is sustainable. See my previous post:
https://www.reddit.com/genesisvision/comments/9p80igenesis_vision_will_soon_become_a_self_sufficient/
TLDR - Here's how they will create revenue from the GV platform (taken from the whitepaper):
  • The project will receive profit from commissions on investment operations. Each investment will be charged 0.5%³ of the operation amount.
  • The project will also generate profit from managing its own fund and by investing it in successful managers of our platform.
  • Genesis Markets will create revenue from trading fees
Another thing to think about - The team have been extremely responsible with their funds. Zero funds have gone to waste and have been used in the most efficient way possible. One example (although a touchy subject) is marketing. The bottom line is marketing will ramp up when the project/platform has had more development (finishing integrating the brokers + additional features). The team have known that the correct time to market the platform is coming, just not yet... Obviously if they had 100's of millions from the ICO marketing would have been ongoing from Day 1. This is one example of being responsible with your investors/ICO funds.
If you would like some more information about the funds, the ICO etc. See these two links:
Bullish on GVT. You want reasons why im bullish? Re-read this post
submitted by elcryptonerd to genesisvision [link] [comments]

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Stock Risk Management: How To Calculate Your Position Size ...

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