Best Forex Backtesting Software for 2020 - Admiral Markets

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submitted by ViralMedia007 to FREECoursesEveryday [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]

(Buy signal) XPDUSD, Aroon Indicator entered an Uptrend on Oct 19, 2020

(Buy signal) XPDUSD, Aroon Indicator entered an Uptrend on Oct 19, 2020
Over the last three days, Tickeron A.I.dvisor has detected that XPDUSD's AroonUp green line (see chart) is above 70, while the AroonDown red line is below 30. When the green line goes above 70 while the red line stays below 30, this is an indicator that the stock could be poised for a strong Uptrend. For traders, this could mean going long the stock or exploring call options in the next month. Tickeron A.I.dvisor backtested this indicator and found 106 similar cases, 95 of which were successful. Based on this data, the odds of success are 90%. Current price 2347.92 is above 2322.75 the highest resistance line found by Tickeron A.I. Throughout the month of 09/23/20 - 10/23/20, the price experienced a +7% Uptrend. During the week of 10/16/20 - 10/23/20, the FOREX enjoyed a +0.97% Uptrend growth.
https://preview.redd.it/cttu3ne0nhv51.png?width=1446&format=png&auto=webp&s=c3253086359da149d4c33367c9a7c80d60269226
Bullish Trend Analysis
The Momentum Indicator moved above the 0 level on October 23, 2020. You may want to consider a long position or call options on XPDUSD as a result. Tickeron A.I. detected that in 25 of 27 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 90%.
The Moving Average Convergence Divergence (MACD) for XPDUSD just turned positive on October 21, 2020. Looking at past instances where XPDUSD's MACD turned positive, the stock continued to rise, Tickeron A.I. shows that in 18 of 19 cases over the following month. The odds of a continued upward trend are 90%.
Following a +2.74% 3-day Advance, the price is estimated to grow further. Considering data from situations where XPDUSD advanced for three days, in 90 of 96 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.
The Aroon Indicator entered an Uptrend today. Tickeron A.I. detected that in 98 of 106 cases where XPDUSD Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 90%.
submitted by tickeron_community to ai_trading [link] [comments]

My Trading Systems- How I trade.

How to analyse which stock to buy? You could use something simple like Moving Average Crossover or your system could be something very complex.
I generally use 5-7 setups when I trade.
The reason is, a lot of times I get false signals on one setup, but when I compare it with the Macro, when 3/5 systems give buy signal, I buy.
When 3/5 systems give me a sell signal, I sell. DISCLAIMER- I only trade in stocks, so some setups may not be available in Forex.
  1. Price Action Trading.
I believe that price action alone is the single greatest system. The more indicators you use, the more messy your chart gets. For me, less is more.
I usually start buy drawing Support and Resistance zones /areas, the immediate zones and long term zones.
Then I plot Fibonacci Points. I love Fibs. This alone is enough to trade.
  1. Heikin Ashi + Stochastic RSI.
The Heikin Ashi candlestick reduces noise and gives good signals. The rules are simple, if there are two continuous green closed candles, it's a buy signal and vice versa.
I usually add Stochastic RSI to improve the success rate, but the number of signals reduce.
  1. Volume.
Volume precedes price. Volume can tell a lot of things about the strength of a trend. I also use a VMA, volume moving average.
I find out if the trend is backed by a volume or not. I look for divergences too.
  1. Divergence.
There are two types of divergences, simple and hidden. I use RSI and/or MACD to find divergence. It's very reliable.
The drawback is that divergence works better in higher time frame.
I usually use 1D chart to plot divergence. Another thing, A divergence doesn't mean that the trend will change immediately.
  1. Delivery % Analysis.
This isn't available for Forex. There's a whole type of analysis on this. It has nothing to do with charts. It's based on numbers.
I like to add numbers along with charts to improve my success rate.
There are a common scenarios and 4 hidden scenarios in this analysis.
  1. Index Correlation.
If the index goes up 2% and the stock is correlated, and it goes up 4%, I can conclude using backtested data that the stock is dependent on the index.
If the index falls a bit, the stock will also fall, much more than the index.
Then there are stocks that have no correlation with the index, or inversely correlated.
  1. Option Chain.
This is probably not available for Forex, I am still learning it. This is a VERY reliable system.
Mastering this will help with get 80-90% accuracy. It's pretty tough.
A single view can give you an entire picture of support and resistance zones and what's happening. Are new positions being created or hedged?
Other Setups.
  1. Moving Averages- 20 & 200 day EMA or the EMA channel.
  2. Sector Performance.
  3. Bollinger Bands using channel.
I can talk deeply about all the systems with examples. But I've just tried to mention everything in brief.
-Vikrant C.
submitted by Vikrantc2003 to Daytrading [link] [comments]

How I trade.

How to analyse which stock to buy? You could use something simple like Moving Average Crossover or your system could be something very complex.
I generally use 5-7 setups when I trade.
The reason is, a lot of times I get false signals on one setup, but when I compare it with the Macro, when 3/5 systems give buy signal, I buy.
When 3/5 systems give me a sell signal, I sell. DISCLAIMER- I only trade in stocks, so some setups may not be available in Forex.
  1. Price Action Trading.
I believe that price action alone is the single greatest system. The more indicators you use, the more messy your chart gets. For me, less is more.
I usually start buy drawing Support and Resistance zones /areas, the immediate zones and long term zones.
Then I plot Fibonacci Points. I love Fibs. This alone is enough to trade.
  1. Heikin Ashi + Stochastic RSI.
The Heikin Ashi candlestick reduces noise and gives good signals. The rules are simple, if there are two continuous green closed candles, it's a buy signal and vice versa.
I usually add Stochastic RSI to improve the success rate, but the number of signals reduce.
  1. Volume.
Volume precedes price. Volume can tell a lot of things about the strength of a trend. I also use a VMA, volume moving average.
I find out if the trend is backed by a volume or not. I look for divergences too.
  1. Divergence.
There are two types of divergences, simple and hidden. I use RSI and/or MACD to find divergence. It's very reliable.
The drawback is that divergence works better in higher time frame.
I usually use 1D chart to plot divergence. Another thing, A divergence doesn't mean that the trend will change immediately.
  1. Delivery % Analysis.
This isn't available for Forex. There's a whole type of analysis on this. It has nothing to do with charts. It's based on numbers.
I like to add numbers along with charts to improve my success rate.
There are a common scenarios and 4 hidden scenarios in this analysis.
  1. Index Correlation.
If the index goes up 2% and the stock is correlated, and it goes up 4%, I can conclude using backtested data that the stock is dependent on the index.
If the index falls a bit, the stock will also fall, much more than the index.
Then there are stocks that have no correlation with the index, or inversely correlated.
  1. Option Chain.
This is probably not available for Forex, I am still learning it. This is a VERY reliable system.
Mastering this will help with get 80-90% accuracy. It's pretty tough.
A single view can give you an entire picture of support and resistance zones and what's happening. Are new positions being created or hedged?
Other Setups.
  1. Moving Averages- 20 & 200 day EMA or the EMA channel.
  2. Sector Performance.
  3. Bollinger Bands using channel.
I can talk deeply about all the systems with examples. But I've just tried to mention everything in brief.
submitted by Vikrantc2003 to StockMarket [link] [comments]

My Trading Systems - How I trade.

How to analyse which stock to buy? You could use something simple like Moving Average Crossover or your system could be something very complex.
I generally use 5-7 setups when I trade.
The reason is, a lot of times I get false signals on one setup, but when I compare it with the Macro, when 3/5 systems give buy signal, I buy.
When 3/5 systems give me a sell signal, I sell. DISCLAIMER- I only trade in stocks, so some setups may not be available in Forex.
  1. Price Action Trading.
I believe that price action alone is the single greatest system. The more indicators you use, the more messy your chart gets. For me, less is more.
I usually start buy drawing Support and Resistance zones /areas, the immediate zones and long term zones.
Then I plot Fibonacci Points. I love Fibs. This alone is enough to trade.
  1. Heikin Ashi + Stochastic RSI.
The Heikin Ashi candlestick reduces noise and gives good signals. The rules are simple, if there are two continuous green closed candles, it's a buy signal and vice versa.
I usually add Stochastic RSI to improve the success rate, but the number of signals reduce.
  1. Volume.
Volume precedes price. Volume can tell a lot of things about the strength of a trend. I also use a VMA, volume moving average.
I find out if the trend is backed by a volume or not. I look for divergences too.
  1. Divergence.
There are two types of divergences, simple and hidden. I use RSI and/or MACD to find divergence. It's very reliable.
The drawback is that divergence works better in higher time frame.
I usually use 1D chart to plot divergence. Another thing, A divergence doesn't mean that the trend will change immediately.
  1. Delivery % Analysis.
This isn't available for Forex. There's a whole type of analysis on this. It has nothing to do with charts. It's based on numbers.
I like to add numbers along with charts to improve my success rate.
There are a common scenarios and 4 hidden scenarios in this analysis.
  1. Index Correlation.
If the index goes up 2% and the stock is correlated, and it goes up 4%, I can conclude using backtested data that the stock is dependent on the index.
If the index falls a bit, the stock will also fall, much more than the index.
Then there are stocks that have no correlation with the index, or inversely correlated.
  1. Option Chain.
This is probably not available for Forex, I am still learning it. This is a VERY reliable system.
Mastering this will help with get 80-90% accuracy. It's pretty tough.
A single view can give you an entire picture of support and resistance zones and what's happening. Are new positions being created or hedged?
Other Setups.
  1. Moving Averages- 20 & 200 day EMA or the EMA channel.
  2. Sector Performance.
  3. Bollinger Bands using channel.
I can talk deeply about all the systems with examples. But I've just tried to mention everything in brief.
submitted by Vikrantc2003 to IndianStockMarket [link] [comments]

Trading economic news

The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases.
This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.

How economic news is released

First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week.
The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020.
In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus.
The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots.
No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners.
Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup.
Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price!
Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!

How the news affects forex markets

Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent.
It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast.
Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators.
Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market.
The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US.
Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com.
Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles.
I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report.
USD/JPY correlation with Initial Jobless Claims (2018 - present)
USD/JPY correlation with Non Farm Payrolls (2018 - present)
The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all.
For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected.
The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up.
I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.

Backtesting

So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report.
Before you can assume you can profit off the news you have to backtest and consider three important parameters.
Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk.
Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not.
Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one.
The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest.
Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered.
I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized.
For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade.
Yep, that's a loss of approx. $8.63 per lot.
Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from.
Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade.
That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.

Make it real

If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day.
Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved.
Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world.
I hope you enjoyed this long as fuck post and you give trading economic news a try!
submitted by thicc_dads_club to Forex [link] [comments]

Building the right mindset

Hey guys! Most of my Forex experience I've been battling with my own head. I come from a very mathematical background and having applied my understanding of statistics, somewhat quickly arrived at strategies that could make money. The only aspect that I constantly struggled with was my psychology. Having overcome some of those problems already, I figured I'll share my personal way I learned how to keep myself in check and make sure I don't become irrational. Here's some of the realisations listed.
  1. Don't ever measure your success with money. So many people, myself included are celebrating their big trades, chasing the profits, just developing an unhealthy mindset centred around the money. It really is not the key.
I learned how to view money as a side effect of successful trading. Implementing decision based approach (instead of outcome based one), helps a lot! You can make a lot of money in a bad trade and lose a lot in a good one. Always question yourself and your strategy, when it's profitable or when it's not.
  1. After a successful trade - 'If only I had a bigger lot size on this one/if only I traded it in my live account'. Very common one, can reveal a lot of weakness. If you experience thoughts like this, or even worse if you see those kind of thoughts influence your decision - take a step back and work on your psychology. Any kind of expression like this shows greed. It's you chasing that money again, and usually this chase means you will lose it all along the way...
  2. If you do not enjoy analysing a lot of data, working with numbers, backtesting - trading is not for you. Analize the sources of your motivation when trading. Do you get mainly motivated if you see your account growing? Is the thought of getting money the main drive? Do you actually enjoy analizing graphs or just the money that will hopefully come after you do so? Many people look into Forex for a quick fix, dream job on your laptop when you're chilling on a beach somewhere. I'm sorry to burst your bubble, but it won't happen. If you don't enjoy the process of perfecting strategies, analizing tons of data, statistical analysis, you will probably never make it.
Having reread my own writing it seems like greed explains all 3 of the points I highlighted. I hope this can help some of you, the ones with the decent mindset that need that extra push and the delusional ones that will not make it and hopefully wake up sooner than later. If you are posting pictures of your profits and getting your serotonin release once you see a profitable trade - you are digging your own grave (and there's so many of you here on this subreddit).
Anyways my final advice is: if you still think you have the passion, but yet find yourself struggling with psychology - just head to algorithmic trading. I have acknowledged that my psychology is in my way and my personal way of dealing with it, was just removing it from the equation. Now I'm mostly focused on building a portfolio of trading robots and I'm healthier in my trading.
submitted by zarathustra1337 to Forex [link] [comments]

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

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

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

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

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

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

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

Right, let's jump in.

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

Now, results from the two most popular categories were:

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

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

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

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

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

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

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

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

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

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

Right, let's jump in.

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

Here are the categories:

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

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

Now, results from the two most popular categories were:

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

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

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

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

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


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

Why Some Technical Analysis May No Longer Be Effective: An Interview With Michael Harris

fintech #trading #algotrading #quantitative #quant #stock #forex #fx $spx $spy

An Interview With Michael Harris Technical analysis is the study of price charts and patterns.
Michael Harris writes the Price Action Lab Blog and is the author of Fooled By Technical Analysis: The Perils Of Charting, Backtesting And Data Mining.
He posts on Twitter about, well, price action. His message there that, basically, “everything you know about technical analysis is wrong” is presented with clarity and passion. It’s been enough to make me question my own beliefs on the chart reading methods I’ve used for years.
I am not endorsing the ideas presented here about price, but I like to consider original thinking and to have my assumptions challenged every now and then. In that spirit, here are my questions and Michael’s answers.
John Navin: You’ve written that technical analysis methods as practiced in the 70’s and 80’s no longer work as well. What happened to them?
Michael Harris: Technical analysis methods of the old school include mainly chart patterns and some h.....
Continue reading at: https://www.forbes.com/sites/johnnavin/2016/12/31/why-some-technical-analysis-may-no-longer-be-effective-an-interview-with-michael-harris/#527fddac4733
submitted by silahian to quant_hft [link] [comments]

My Friday Scalper trades

So for FRY-DAY (May 8,2020), I was not super happy with the forex markets and looks like the markets were in general bit emotional with a spike here and there. This was despite bad data on US jobs. Anyways, since the trader's itch is hard to control, I did some scalps on my $1000 "fun" account. Now mind you that even-though it is "fun" account. It is my real hard earned money and I am not fooling around with it. My risk management is always on. Again I hate demo and do not believe that it helps more than just understanding the trading platform. Other thing I do not use stop loss and had been like this for last about 4 years (shame on me -every guru tells to use it). Now I just do visual backtesting and pattern analysis, which does not need a demo account for basic chart reading.
So with the traders itch -following are my Friday's real account trades on $1000 account:
USD-JPY short - 3 pips, AUD-USD short -2 pips, GBP-USD short -5 pips, USD-CHF short - 3 pips, USD-JPY long - 5 pips.
submitted by 10kto1000k to u/10kto1000k [link] [comments]

Trading Contest: Rules, Benchmarks and Prizes.

I've now arranged at least one backer for the trading contest to provide investment prizes. Some of the details of this may be subject to change. Last week my girlfriend went away on a trip and in the car she took was a bag with two of my phones and one laptop. So I've not yet discussed the finer points of this on the phone with the backer yet, just briefly exchanged some emails and have an agreement in principle. I'll be able to confirm Sunday/Monday when she's back.

Initial Funding Offer

Testing investment of $10,000. Scaling to full investment of $100,000. Further adding of funding up to $1 million.

Requirements

Meet a tier 3 trader benchmark.
Tier 3 traders have to be able to produce an average return of 3% a month and never exceed 10% drawdown.
Results need to be over 9 month - 12 months. The trading data needs to be made available for quant team analysis.

Account Requirements

Results have to be produced on live accounts, with a funding of $1,000 (or more).

If anyone is able to produce solid results but for some reason can not afford to fund this, I am willing to sponsor you for this, providing the seed capital (essentially investing in you). For me to do this, I'll need to see you producing solid results on a demo account for at least 3 - 6 months. If you can, I'll set up something to allow you access to live funds trading without self funding it.

Drawdown Rules

Drawdown will be tracked with professional metrics. This means we are tracking equity drawdown (not balance drawdown), and it mean we're tracking equity drawdown from high water mark.

This means if you open trades and they float against you, but later close profitably the drawdown in running trades is counted as losses. It also means if your trades go into profit and later close at a loss the percentage loss will be from the high in equity. So for example if you go up 2% in equity profit and close 1% loss, you lost 3%. 3% is your high water mark drawdown.

So it is essential you can both control your running equity losses, and efficiently cap losses on unrealised profits.

Markets

The backer is mainly from the Forex world, but also willing to provide backing for results from other markets. So people can trade where they know best.

(Note: For me funding you, I'll probably only be accepting Forex. Logistical reasons).

Toxic Tendencies

Results will be screened by quant team for 'toxic tendencies'. These are known weaknesses in strategies that mean they can produce short term results, but rarely are sustainable. The most common example of this is martingale. Toxic tendencies strategies will be rejected even if they produce good results. If there is any chance at all of them being considered 18 months or more of trading history will be required.

Fresh Accounts

For the purposes of this contest, all accounts will have to be new accounts tracking forward from the start date of the contest. Backtesting or previous forward testing will not be accepted.

Further Funding

The funding available can be further increased if tier 3 benchmarks are passed. Tier 3 is the lowest viable results, with funding usually capped under 5 million (most commonly 1 million). If traders can beat tier 3 results and match tier 2 or even tier 1 results, a lot more funding is available.
As a rule of thumb, tier 2 traders have minimum investments of 5 - 10 million. Tier 1 traders minimum investments of $100 million. I will discuss in more detail with people how to progress through these tiers if and when it is applicable.

Time Scale of Opportunity

This is open indefinitely. The backer will probably be quite happy to offer incentives like this for a long time (profitable traders are worth a lot of money to those who can fund them). Even if for some reason they decide to no longer offer funding, in a few years time I will be in a position where I can allocate large amounts of funds to profitable traders - so I will provide continuity of this offer.

My Benchmarks

As benchmarks, I will provide a few different strategies that I know are suitable for tier 3 trading. It has always been in my plan to provide some strategy write ups for these for people to learn them, and then have them running with ongoing results updates for people to see how they perform. So I will just push on with getting this set up, and then use these strategies as my entries into the contest and setting of tier 3 benchmarks.

Starting Date

ETA for this is probably in the next 3 weeks. This gives me a bit of time to do the strategy write ups and finalise details on funding requirements and scale up of investments. I will update on this when I have a more solid timeline.
submitted by whatthefx to TradingAlerts [link] [comments]

Why Some Technical Analysis May No Longer Be Effective: An Interview With Michael Harris

fintech #trading #algotrading #quantitative #quant #stock #forex #fx $spx $spy

An Interview With Michael Harris Technical analysis is the study of price charts and patterns.
Michael Harris writes the Price Action Lab Blog and is the author of Fooled By Technical Analysis: The Perils Of Charting, Backtesting And Data Mining.
He posts on Twitter about, well, price action. His message there that, basically, “everything you know about technical analysis is wrong” is presented with clarity and passion. It’s been enough to make me question my own beliefs on the chart reading methods I’ve used for years.
I am not endorsing the ideas presented here about price, but I like to consider original thinking and to have my assumptions challenged every now and then. In that spirit, here are my questions and Michael’s answers.
John Navin: You’ve written that technical analysis methods as practiced in the 70’s and 80’s no longer work as well. What happened to them?
Michael Harris: Technical analysis methods of the old school include mainly chart patterns and some h.....
Continue reading at: https://www.forbes.com/sites/johnnavin/2016/12/31/why-some-technical-analysis-may-no-longer-be-effective-an-interview-with-michael-harris/#527fddac4733
submitted by silahian to quant_hft [link] [comments]

Back Testing

What do you guys use for Backtesting? Excel, R or some purpose built back testing tool?
What about market data sources?
More importantly, has back testing done anything for your trading??
submitted by watersign to Forex [link] [comments]

Is anyone here actually make a living of trading?

I'm asking because I want to give it a try, but I don't want to put the needed time and money into it as long as I'm not sure of it's even possible.
I work full time as a data analysis, and I've done some analysis and backtesting of forex and stock markets on my spare time. And to be honest, I have yet to find something good enough to use - despite a lot of effort the last two years of so.
So is it possible for an individual to make a living of trading these days, or is it just waste of time and money? Is anyone in here really trading for a living?
submitted by Pantofolaio to Forex [link] [comments]

Is anyone here actually make a living of trading?

I asked the same question at the forex sub, but as I feel algotrading is more relevant for what I'm actually doing, I ask the same question here.
I'm asking because I want to give it a try, but I don't want to put the needed time and money into it as long as I'm not sure of it's even possible.
I work full time as a data analysis, and I've done some analysis and backtesting of forex and stock markets on my spare time. And to be honest, I have yet to find something good enough to use - despite a lot of effort the last two years of so.
So is it possible for an individual to make a living of trading these days, or is it just waste of time and money? Is anyone in here really trading for a living?
submitted by Pantofolaio to algotrading [link] [comments]

Why Some Technical Analysis May No Longer Be Effective: An Interview With Michael Harris

fintech #trading #algotrading #quantitative #quant #stock #forex #fx $spx $spy

An Interview With Michael HarrisShare to facebookShare to linkedinTechnical analysis is the study of price charts and patterns.Michael Harris writes the Price Action Lab Blog and is the author of Fooled By Technical Analysis: The Perils Of Charting, Backtesting And Data Mining.He posts on Twitter about, well, price action. His message there that, basically, “everything you know about technical analysis is wrong” is presented with clarity and passion. It’s been enough to make me question my own beliefs on the chart reading methods I’ve used for years.I am not endorsing the ideas presented here about price, but I like to consider original thinking and to have my assumptions challenged every now and then. In that spirit, here are my questions and Michael’s answers.John Navin: You’ve written that technical analysis methods as practiced in the 70’s and 80’s no longer work as well. What happened to them?Michael Harris: Technical analysis methods of the old school include ma..... Continue reading at: https://www.forbes.com/sites/johnnavin/2016/12/31/why-some-technical-analysis-may-no-longer-be-effective-an-interview-with-michael-harris/#527fddac4733
submitted by silahian to quant_hft [link] [comments]

Some basic algo trading questions on platform and data sources

Hi algoTrading,
I'm new to algorithmic trading, and was hoping to get some advice on how to get set up. My questions fall into two categories, first, what platforms do you guys use for backtesting, and second, where do you get your data from.
First, to clarify what I mean by 'platform'. I am looking for a mechanism which will enable me to (relatively) easily go from idea to backtest. For instance, in quantopian, you can write a strategy, and backtest it. The backtest will generate relevant metrics, and you do not have to worry about the code linking the strategy to the data. Additionally, if the platform allowed for more robust testing, like walk forward testing, and monte carlo analysis, that would be ideal.
I have seen two websites in particular, which seem to be popular. Quantconnect, and Quantopian. Now, I have looked into both of these, and I am not sure they are what I am after. First, I am a little skeptical of putting out algo's which I have poured my time hard work into, on sites which execute the code remotely. Second, I am more interested in derivatives trading than stock trading. If I were to use an online platform, I would prefer one which included data on Options/Futures/Forex. Additionally, while the language isn't a huge deal, I have experience in Java, and am learning Python for data Science applications. If there were a platform which let me use Python or Java, that would be ideal.
Second is the data source. This is a little redundant for online platforms, like quantopian, which are already integrated with the data. However, I have also been looking at Amibroker, which is executed locally on your computer, and does not come bundled with data. I have seen that you can get some data from IB, thinking about switching over to them, just for their data feeds. But really, the data I am interested in would be 1) EOD options data. 2) intra day futures/forex data. 3) intraday stocks/indexes/ETF data.
I am willing to pay for tools/data if necessary, but would prefer to keep costs as minimal as possible, as I am a losing trader with a day job.
Thanks in advance!
submitted by IAmBoredAsHell to algotrading [link] [comments]

Why Some Technical Analysis May No Longer Be Effective: An Interview With Michael Harris

fintech #trading #algotrading #quantitative #quant #electronic #stock #forex #fx #technicalanalysis $spx $spy

An Interview With Michael HarrisShare to facebookShare to linkedinTechnical analysis is the study of price charts and patterns.Michael Harris writes the Price Action Lab Blog and is the author of Fooled By Technical Analysis: The Perils Of Charting, Backtesting And Data Mining.He posts on Twitter about, well, price action. His message there that, basically, “everything you know about technical analysis is wrong” is presented with clarity and passion. It’s been enough to make me question my own beliefs on the chart reading methods I’ve used for years.I am not endorsing the ideas presented here about price, but I like to consider original thinking and to have my assumptions challenged every now and then. In that spirit, here are my questions and Michael’s answers.John Navin: You’ve written that technical analysis methods as practiced in the 70’s and 80’s no longer work as well. What happened to them?Michael Harris: Technical analysis methods of the old school include ma..... Continue reading at: https://www.forbes.com/sites/johnnavin/2016/12/31/why-some-technical-analysis-may-no-longer-be-effective-an-interview-with-michael-harris/#527fddac4733
submitted by silahian to quant_hft [link] [comments]

In what direction do I develop my neural network?

I have successfully trained a neural network on a large volume of historical forex data. When backtesting on data it hasn't trained on, it oscillates around 100% profit (no gains/loss) if I do not count spread, and with spread makes a high profit when I find good exit points through heavy experimentation. In backtesting so far I am making trades if the network says I will make a profit with no further analysis.
What direction should I take from here? Experimenting with training settings for more effective results? A neural network to determine when I should trade and/or exit? Train more neural networks for multiple frequencies to corroborate trade decisions? Some less dynamic method of determining when I should trade? Honing my own abilities as a trader and merely using the neural network as an aid?
Apologies for the beginner question, I don't know where to start.
submitted by brumpho_tungus to algotrading [link] [comments]

Best/Cheapest source of live ECN market data feed (FIX API)

Hey guys. Awesome sub you got here. I'm a software engineer and I'm interested in learning more about the forex markets. Before I put any real money down, I want to analyze the data and come up with some hypotheses and backtest them.
I'm looking for a live data feed of prices, volume, market depth, etc that I can use for the analysis.
Do you guys know of a cheap/free source of such data? It needs to be ECN data or as close as possible. And historical data would be nice but not necessary, I'm looking more for a live feed.
I've look at various ECN brokers but they only offer their FIX API to institutional investors with hundreds of millions of USD in trades per month.
The cheapest I've seen is Interactive Brokers, but their minimum account balance is USD10k.
Please let me know if you know of other brokers or have any other ideas about attaining this kind of data.
Thanks
submitted by drkenta to Forex [link] [comments]

Backtesting and Historical Data Manual Backtesting for Forex Back-Testing Jam Session: Backtest Strategy and Test Plan - Forex Trading Strategy How to BACKTEST a Forex Trading Strategy - YouTube Demo: backtest/analysis inside the Data Recorder Excel Bot How I BACKTEST a Forex Trading Strategy in 2020 - YouTube Tutorial [Forex Trading] How to backtest a trading ...

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Backtesting and Historical Data

Manual backtesting for forex trading, and other trading strategies is one of the most important skills to learn in order for a trader to be profitable. Before a trader applies a strategy to live ... How to get FOREX historical data into metatrader? 90% modeling quality - Duration: 36 ... Backtesting Technical Analysis Trading Data Science - Duration: 19:40. tastytrade 13,726 views. 19:40 ... This video will show you How to Backtest a Forex Trading Strategy, as well as 3 TIPS on BACKTESTING... Trading Platform I Use: https://www.tradingview.com/... Backtesting software simulates your strategy on historical data and provides a backtesting report, which allows you to conduct proper trading system analysis. If you are new to forex trading and... FREE: Advanced Pattern Tutorial - https://www.thetradingchannel.net/optinpage CHECK OUT: EAP Training Program - https://goo.gl/7RrMM5 JOIN: "Advanced Pattern... Today we kick off #TheTradingEssentials Series, starting out with How I Backtest a Forex Trading Strategy in 2020... ----- Trading Platform I Use: https:... Demo: backtest/analysis inside the Data Recorder Excel Bot ExcelBettingBots.com. Loading... Unsubscribe from ExcelBettingBots.com? Cancel Unsubscribe. Working... Subscribe Subscribed Unsubscribe ...

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