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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]

Automatic Forex Trading Robots - Reviewed

To choose, and to choose wisely, one must be armed with Cryptoinfographic Review all the facts. In the world of finance, the wrong choice will cost more than it would in any other field. To choose from among the many forex trading robots out in the market today, one can weigh the characteristics of one against the other. In order to do even that, one must be armed with news and reviews about the product. Here then is a list of just the top 3 Automatic Forex Trading Robots - Reviewed:
FAP Turbo. This software has garnered many positive reviews. It is said to have been tested thoroughly on live accounts and has passed these tests. It can be configured to a trader's personal specifications. It can run in two strategies, the short term and the long term, and the settings are easy to adjust. Long term strategies trade multiple currencies, while short term trade only the top pair. All these and more endear FAP Turbo to many traders.
Ivybot. This is the latest forex robot out in the market today. It has been designed to solve some of the problems encountered with other, older, forex robots. The Ivybot is configured so that the trading system can be constantly and automatically updated by professionals in the field. This system can therefore adjust to existing and changing market conditions at all times. Forex Megadroid. It has a good market prediction strategy with a process called Reverse associated Time and Price analysis, or RCTPA. It eliminates confusion by simply trading the USD/EUR, or United States Dollar to the European Dollar. These are its main strengths.
One other point to note is this robot comes with credible customer support. If you are unsure of any aspect of the program and wish to ask a question, you can contact the customer support team of professionals. The members of this team are quick, skilled and specialized. You should receive a reply promptly from them.Finally, the product comes with a 60 day money back guarantee. If you are not pleased with the robot, all you have to do is e-mail the customer support team and they will arrange for you to receive your cash. These are some of the qualities of the Forex Megadroid you should consider before deciding to actually purchase the product for yourself.
https://optimusforexreview.com/cryptoinfographic-review/
submitted by beulamary1 to u/beulamary1 [link] [comments]

Derivatives Trading is on the Edge of a New World With Artificial Intelligence on Level01

Derivatives Trading is on the Edge of a New World With Artificial Intelligence on Level01
https://preview.redd.it/2r0yyzpr9z321.png?width=640&format=png&auto=webp&s=4d3d9fa506588761696133140ca38af266215f29
Could artificial intelligence in trading become the new normal? Advances in technology and new standards surrounding automated trading are pushing us ever closer to transforming the industry. If this sounds very much like a science fiction movie, we can assure you it is not.
In fact, artificial intelligence (AI) is already being utilized by banks, but its going to take a little longer for people to catch up to the idea that their investment is as safe, if not safer than it would be if their investments were handled by humans. An analysis by Accenture indicates that between 2018 and 2022, banks that invest in AI and human-machine collaboration at the same rate as top-performing businesses could boost their revenue by an average of 34 percent. AI’s application is proven to improve efficiencies or customer outcomes and the software-development team at Level01 is working hard to achieve a human-machine collaborated future in derivatives trading — to help people trade better, with ease and peace of mind.
As far as discernment in artificial intelligence in trading go, algorithmic trading is perhaps the most discussed of all. If we take a closer look at its application today, automated trading reflects our attitudes towards technology and how it is evolving the way we invest. Yet much of the discussion is still fixated on the hypothetical scenarios that automated trading would take over human jobs. Much less weight is being placed on the fact that AI through its fundamental form known to many as algorithmic trading has been used by institutional and retail investors for almost a decade now. “But there’s an obvious gap between institutional and retail users when it comes to trading and we aim to bridge that gap by creating a ‘level playing field’ for Level01 users. We do this by empowering them with our AI price discovery mechanism known as ‘FairSense’” says Naglis Vysniauskas, Head Quant Developer at Level01. “The AI was built using cross-stream analytics that were previously available only to institutional organizations.”
From helping investors to assess true market value of the contracts to enabling them to continuously update their bid or offer price relative to the implied fair value by FairSense, plenty of functions were built in to support human-collaborated trading, rather than substituting it. Introducing these features on a sleek user-friendly app is a strategic step-by-step approach to help the public get used to a whole different way of investing on an efficient and trustworthy Peer to Peer Derivatives Market platform like Level01. “People will experience trading at speeds, liquidity, freedom, accountability and transparency that have never been available before” says Vysniauskas. Those that find it hard to believe, can now experience trading on Level01 without limitations traditionally set by brokers, who would force their clients to accept their given price, disallow clients from dictating the best execution and insist that clients to trade at a ‘spread vs. mid’ (clients have no power to negotiate the level of spreads which they pay). The level of freedom granted to users on Level01 is enticing and highly persuasive.
“On the Level01 Derivatives Exchange platform, retail investors (or users as we call them) can trade against multiple peers or brokers, and this enables them to find best execution available,” says Vysniauskas. “Also, the ability to specify a fixed spread to fair value of an instrument could potentially reduce trading spreads significantly for large investors.” The practicality of this feature though may not fit small investors though, because leaving fixed bid or offer prices without continuous adjustment would be risky in markets where sudden movements are common. “That is why we built Level01 to give users the freedom to continuously update their bid or offer price relative to the implied fair value by FairSense, this is so that if the trade is not a match, the bid or offer price is updated continuously as market moves to ensure that it is always priced competitively relative to the most recent fair value” adds Vysniauskas.
HOW DOES FAIRSENSE WORK TO LEVEL01 USER’S ADVANTAGE? For the purposes of explaining how FairSense AI helps users on Level01, we take a look at this case study of a Binary Option Example on EUUSD Forex Pair.
https://preview.redd.it/qqiilcks9z321.png?width=600&format=png&auto=webp&s=cfff89ed36c8051751e93f072c5c5f89b2ecace5
A 10-minute binary put option is being offered at a $59.73 (fair value +$0.50). The order is not filled or matched almost immediately, and after 4 seconds, the EUUSD spot price has moved by 1.5 pips and the fair value has not moved above the investor’s offer price.
In this case, a contract is being offered below fair value.
Now take a look at Chart 01 below. You can see that the relationship of the fair value of an option with the spot EUUSD price. You can tell that the fair value is highly dependent on the spot rate. Thus, if a retail investor submits an offer to an exchange, it might be filled at a time when it is already below the fair value — an undesirable scenario for investors. Such scenarios will stop investors from submitting further offers to the exchange.
https://preview.redd.it/v9gfxbit9z321.png?width=600&format=png&auto=webp&s=fea9e3720a679b5f79e0306409c73f71844210ac
To resolve this common problem, Level01’s FairSense AI enables all investors to quote ‘relative offers’ to FairSense’s fair value. This allows investors to simultaneously compete for the best offers without imposing them with a requirement to have their own algorithms for price estimation and having them continuously updating the quote manually.
https://preview.redd.it/4lmbz3du9z321.png?width=600&format=png&auto=webp&s=dd59e23b3bab3d0d0097f5a0016bf489ddbbae4f
In many ways, having AI as the norm will become essential to creating investment outcomes that are optimized for every type of investor, truly transforming the way trading is done. With an advanced Blockchain platform, AI and inbuilt frameworks that are designed to favor the user, Level01 will shape the future of automated trading on its Peer to Peer Derivatives Exchange at scale and speed that the world will come to marvel.
submitted by Level01Exchange to u/Level01Exchange [link] [comments]

EUR/USD Weekly Forecast 21-SEP TO 28-SEP 2018

EUUSD Weekly Forecast 21-SEP TO 28-SEP 2018
EUR is enjoying the significant gain as dollar lose its effects on the market. New facts and figures can change the direction of EUUSD. This week major updates Mario Draghi and Inflation report maybe a foundation stone for EUUSD new journey. Let’s take a look on highlights of a technical and fundamental analysis of EUUSD.
For full details go to the given link-
https://www.mmfsolutions.sg/blog/forex-signals-weekly-forecast-eurusd-21-sept-28-sept-2018/
https://preview.redd.it/0fabc5m0lco11.jpg?width=800&format=pjpg&auto=webp&s=203de915bf228044b3cc349733247a604b973e75
submitted by sannidhyammf to u/sannidhyammf [link] [comments]

Some updates and my thoughts on the EUR/USD

Some of you may have read the AMA I did a month ago where I disclosed sensitive information about my performance to show the newer traders that it can be done and to answer their questions about improving their own trading. My goal is not to provide nor teach the methods of crystal ball analysis to the future direction of a currency but rather, to develop a reasonably sound strategy to trade the uncertainty.
Due to the amount of new traders that have been active in the past two weeks, I would like to provide an update and also to touch on my thoughts for this week on the EUUSD. For people unfamiliar to me, disclosing my performance is just the most direct method I can think of to help establish some sort of credibility for them. It does make me feel a little weird but anyway:
Feel free to ask away about your trading and I will answer as best I can, if not, there are other more experienced traders available to cover my slack.
EUUSD Trade Approach For The Next Four Weeks
Let me show you a chart about sentiments of professional institutions, courtesy of DJFX. What does it tell us about these professional institutions? They are unsure. But overall the general consensus is that there will be a steady decline in the euro through till 2014. Much of the uncertainty stems from policy decisions, especially the banking union proposed by the ECB but is meeting objection from several member countries. One of the key issues in the proposal is the formation of an agency dubbed "Single Resolution Mechanism", whereby it forces creditors and shareholders to bear the losses instead of taxpayers. You can immediately see which group will object to it, and how markets are likely to react.
On one hand, even if the banking union be established successfully, would it work? On the other hand, if nothing new is being done, the markets have no confidence. Despite having availability of cheap credit, lenders are still very cautious and businesses are not very confident. So for the time being, optimism lies on the cooperation of all the member countries with the ECB. This does not look to be achievable until 2014. So I still hold a short bias for the euro and prefer to sell on rallies.
As advised against posting wall of texts, this is just an excerpt of a longer writeup where I discuss some technicals, more charts, and my personal trade strategy.
submitted by aoidja to Forex [link] [comments]

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