Metatrader expert advisors dissected.
Volatility Factor live forward test
Trading style: opens a basket of up to 4 positions based on volatility; takes profit at 20 pips and has a hard SL of 380 pips for GBPUSD (9/300 for EURUSD), but closes way before that most of the time.
Currency pairs: GBPUSD, EURUSD
Timeframe: M15
Price: $299 (EURUSD is a separate premium license charged $14.90 per month)
License: 1 live account, unlimited demo accounts
NFA compliance: yes
Refund policy: 60 days unconditional
Read more at the Volatility Factor website
Buy Volatility Factor
Note: as specified in the manual, one should carefully choose their risk when using this EA. It can have drawdowns in excess of 1500 pips. Hitting a full SL for all 4 trades would mean a drawdown of 380 * 4 = 1520 pips. My account uses an AutoMM of 0.5 in an attempt to keep the relative drawdown below 20-25%. The manual offers quite a few details and recommendations on account sizes vs lot sizes.
Birt’s forward test
Settings: default, AutoMM 0.5
Started: 27.03.2012
Broker: PrivateFx
Account type: live, micro
Starting balance: $300
Current EA version: 5.0
Currency pairs: EURUSD, GBPUSD
Official accounts
Settings: unspecified
Started: 06.01.2012
Broker: Alpari NZ
Account type: demo
Currency pairs: GBPUSD
Settings: unspecified
Started: 06.01.2012
Broker: FxPro
Account type: demo
Currency pairs: GBPUSD
Backtests
Note: the EA does not open any positions prior to 2008 in backtests. This seems to be a hardcoded limitation. My best guess is that its optimized for the past 3-4 years.
History center data
Volatility Factor 3.0 2008-2012 EURUSD history center data backtest, spread 1.0, default settings, AutoMM 1
| Symbol | EURUSD (Euro vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2007.01.02 00:00 - 2012.03.26 20:00 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=1; AutoMM_Max=5; | ||||
| Bars in test | 125261 | Ticks modelled | 47314749 | Modelling quality | 90.00% |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 300.00 | ||||
| Total net profit | 3862.19 | Gross profit | 6659.09 | Gross loss | -2796.91 |
| Profit factor | 2.38 | Expected payoff | 0.83 | ||
| Absolute drawdown | 1.21 | Maximal drawdown | 297.16 (9.97%) | Relative drawdown | 22.94% (156.43) |
| Total trades | 4674 | Short positions (won %) | 2481 (82.55%) | Long positions (won %) | 2193 (84.09%) |
| Profit trades (% of total) | 3892 (83.27%) | Loss trades (% of total) | 782 (16.73%) | ||
| Largest | profit trade | 19.89 | loss trade | -57.02 | |
| Average | profit trade | 1.71 | loss trade | -3.58 | |
| Maximum | consecutive wins (profit in money) | 48 (83.54) | consecutive losses (loss in money) | 8 (-28.38) | |
| Maximal | consecutive profit (count of wins) | 111.95 (20) | consecutive loss (count of losses) | -211.25 (4) | |
| Average | consecutive wins | 9 | consecutive losses | 2 | |
Volatility Factor 3.0 2008-2012 GBPUSD history center data backtest, spread 1.5, default settings, AutoMM 1
| Symbol | GBPUSD (Great Britain Pound vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2007.01.02 00:00 - 2012.03.26 20:45 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=1; AutoMM_Max=5; | ||||
| Bars in test | 125092 | Ticks modelled | 45803323 | Modelling quality | 90.00% |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 300.00 | ||||
| Total net profit | 31818.37 | Gross profit | 75597.82 | Gross loss | -43779.45 |
| Profit factor | 1.73 | Expected payoff | 7.36 | ||
| Absolute drawdown | 19.12 | Maximal drawdown | 4707.03 (15.40%) | Relative drawdown | 19.39% (139.35) |
| Total trades | 4321 | Short positions (won %) | 2207 (79.75%) | Long positions (won %) | 2114 (82.26%) |
| Profit trades (% of total) | 3499 (80.98%) | Loss trades (% of total) | 822 (19.02%) | ||
| Largest | profit trade | 179.87 | loss trade | -955.25 | |
| Average | profit trade | 21.61 | loss trade | -53.26 | |
| Maximum | consecutive wins (profit in money) | 40 (48.43) | consecutive losses (loss in money) | 8 (-185.67) | |
| Maximal | consecutive profit (count of wins) | 2005.98 (31) | consecutive loss (count of losses) | -3412.83 (4) | |
| Average | consecutive wins | 8 | consecutive losses | 2 | |
Tick data
Volatility Factor 3.0 2008-2012 EURUSD tick data backtest, real spread, default settings, AutoMM 1
| Symbol | EURUSD (Euro vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2007.03.30 16:01 - 2012.03.26 12:59 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=1; AutoMM_Max=5; | ||||
| Bars in test | 124139 | Ticks modelled | 71124282 | Modelling quality | 99.00% |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 300.00 | ||||
| Total net profit | 1836.32 | Gross profit | 5586.88 | Gross loss | -3750.56 |
| Profit factor | 1.49 | Expected payoff | 0.23 | ||
| Absolute drawdown | 5.35 | Maximal drawdown | 245.06 (16.06%) | Relative drawdown | 38.79% (194.22) |
| Total trades | 8090 | Short positions (won %) | 4342 (83.12%) | Long positions (won %) | 3748 (83.94%) |
| Profit trades (% of total) | 6755 (83.50%) | Loss trades (% of total) | 1335 (16.50%) | ||
| Largest | profit trade | 8.85 | loss trade | -33.71 | |
| Average | profit trade | 0.83 | loss trade | -2.81 | |
| Maximum | consecutive wins (profit in money) | 57 (57.47) | consecutive losses (loss in money) | 9 (-16.82) | |
| Maximal | consecutive profit (count of wins) | 63.48 (52) | consecutive loss (count of losses) | -124.97 (4) | |
| Average | consecutive wins | 9 | consecutive losses | 2 | |
Volatility Factor 3.0 2008-2012 GBPUSD tick data backtest, real spread, default settings, AutoMM 1
| Symbol | GBPUSD (Great Britain Pound vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2007.03.30 16:01 - 2012.03.26 12:59 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=1; AutoMM_Max=5; | ||||
| Bars in test | 124135 | Ticks modelled | 65015040 | Modelling quality | 99.00% |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 300.00 | ||||
| Total net profit | 4401.79 | Gross profit | 12859.50 | Gross loss | -8457.72 |
| Profit factor | 1.52 | Expected payoff | 0.85 | ||
| Absolute drawdown | 8.54 | Maximal drawdown | 565.64 (13.34%) | Relative drawdown | 42.57% (330.12) |
| Total trades | 5152 | Short positions (won %) | 2678 (77.97%) | Long positions (won %) | 2474 (79.67%) |
| Profit trades (% of total) | 4059 (78.78%) | Loss trades (% of total) | 1093 (21.22%) | ||
| Largest | profit trade | 20.07 | loss trade | -132.39 | |
| Average | profit trade | 3.17 | loss trade | -7.74 | |
| Maximum | consecutive wins (profit in money) | 32 (83.62) | consecutive losses (loss in money) | 8 (-97.46) | |
| Maximal | consecutive profit (count of wins) | 157.66 (21) | consecutive loss (count of losses) | -484.58 (6) | |
| Average | consecutive wins | 7 | consecutive losses | 2 | |
I decided the drawdowns in the tick data backtests (albeit mostly floating) are a bit too much for my taste so I also ran some more backtests with AutoMM 0.5, which is the setting that I ended up running with on my live account. The drawdown was – naturally – much lower.
Volatility Factor 3.0 2008-2012 EURUSD tick data backtest, real spread, default settings, AutoMM 0.5
| Symbol | EURUSD (Euro vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2007.03.30 16:01 - 2012.03.26 12:59 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=0.5; AutoMM_Max=5; | ||||
| Bars in test | 124139 | Ticks modelled | 71124282 | Modelling quality | 99.00% |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 300.00 | ||||
| Total net profit | 645.55 | Gross profit | 1925.45 | Gross loss | -1279.91 |
| Profit factor | 1.50 | Expected payoff | 0.08 | ||
| Absolute drawdown | 3.00 | Maximal drawdown | 82.32 (20.51%) | Relative drawdown | 20.51% (82.32) |
| Total trades | 8114 | Short positions (won %) | 4360 (82.84%) | Long positions (won %) | 3754 (83.62%) |
| Profit trades (% of total) | 6751 (83.20%) | Loss trades (% of total) | 1363 (16.80%) | ||
| Largest | profit trade | 2.33 | loss trade | -9.15 | |
| Average | profit trade | 0.29 | loss trade | -0.94 | |
| Maximum | consecutive wins (profit in money) | 57 (19.53) | consecutive losses (loss in money) | 9 (-8.41) | |
| Maximal | consecutive profit (count of wins) | 19.53 (57) | consecutive loss (count of losses) | -32.68 (4) | |
| Average | consecutive wins | 9 | consecutive losses | 2 | |
Volatility Factor 3.0 2008-2012 GBPUSD tick data backtest, real spread, default settings, AutoMM 0.5
| Symbol | GBPUSD (Great Britain Pound vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2007.03.30 16:01 - 2012.03.26 12:59 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=0.5; AutoMM_Max=5; | ||||
| Bars in test | 124135 | Ticks modelled | 65015040 | Modelling quality | 99.00% |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 300.00 | ||||
| Total net profit | 971.86 | Gross profit | 3073.30 | Gross loss | -2101.44 |
| Profit factor | 1.46 | Expected payoff | 0.19 | ||
| Absolute drawdown | 3.98 | Maximal drawdown | 130.68 (26.59%) | Relative drawdown | 26.59% (130.68) |
| Total trades | 5145 | Short positions (won %) | 2680 (78.10%) | Long positions (won %) | 2465 (79.55%) |
| Profit trades (% of total) | 4054 (78.79%) | Loss trades (% of total) | 1091 (21.21%) | ||
| Largest | profit trade | 3.32 | loss trade | -21.55 | |
| Average | profit trade | 0.76 | loss trade | -1.93 | |
| Maximum | consecutive wins (profit in money) | 32 (22.42) | consecutive losses (loss in money) | 8 (-37.28) | |
| Maximal | consecutive profit (count of wins) | 26.49 (23) | consecutive loss (count of losses) | -72.37 (6) | |
| Average | consecutive wins | 7 | consecutive losses | 2 | |
Oanda tick data, timeshifted 28 years in the future
Since the EA has a hardcoded limitation and it only starts trading in backtests when 2008 is reached, there were a few requests to run some backtests with the data shifted in the future. The only “good” shift that makes the days of the month land on the same day of the week is 28 years; the problem is that MT4 has a limitation and is unable to run backtests past January 2038 so it follows that it’s impossible to test past 2010 using this method. Even knowing this, creating the files up to 2010 (shifted to 2038) is a royal pain in the ass and I don’t recommend trying this at home. I chose the Oanda tick data because it spans a larger interval (2004-2012 vs 2007-2012 for Dukascopy) and consequently yields a longer backtest period. Both backtests are using real spread.
Volatility Factor 3.0 2004-2010 (timeshifted 28 years ahead) EURUSD Oanda tick data backtest, real spread, default settings, AutoMM 0.5
| Symbol | EURUSD (Euro vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2032.01.01 07:30 - 2038.01.19 03:12 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=0.5; AutoMM_Max=5; | ||||
| Bars in test | 524288 | Ticks modelled | 43068917 | Modelling quality | n/a |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 3000.00 | ||||
| Total net profit | 3393.82 | Gross profit | 9769.98 | Gross loss | -6376.16 |
| Profit factor | 1.53 | Expected payoff | 0.64 | ||
| Absolute drawdown | 497.47 | Maximal drawdown | 522.72 (17.28%) | Relative drawdown | 17.28% (522.72) |
| Total trades | 5296 | Short positions (won %) | 2729 (79.96%) | Long positions (won %) | 2567 (81.34%) |
| Profit trades (% of total) | 4270 (80.63%) | Loss trades (% of total) | 1026 (19.37%) | ||
| Largest | profit trade | 11.13 | loss trade | -79.99 | |
| Average | profit trade | 2.29 | loss trade | -6.21 | |
| Maximum | consecutive wins (profit in money) | 44 (125.65) | consecutive losses (loss in money) | 9 (-52.61) | |
| Maximal | consecutive profit (count of wins) | 125.65 (44) | consecutive loss (count of losses) | -296.22 (4) | |
| Average | consecutive wins | 8 | consecutive losses | 2 | |
Volatility Factor 3.0 2004-2010 (timeshifted 28 years ahead) GBPUSD Oanda tick data backtest, real spread, default settings, AutoMM 0.5
| Symbol | GBPUSD (Great Britain Pound vs US Dollar) | ||||
| Period | 15 Minutes (M15) 2032.01.01 17:45 - 2038.01.14 09:45 | ||||
| Model | Every tick (the most precise method based on all available least timeframes) | ||||
| Parameters | Magic=2012345; EA_Comment="VolatilityFactor"; MaxSpread=3.5; Slippage=2; NFA=false; AutoGMT_Offset=true; ManualGMT_Offset=2; CS="==== Custom Settings ===="; BetterPricePips=0; MaxNegAdds=3; ForceProfit=0; ForceLoss=0; FixedTakeProfit=0; FixedStopLoss=0; MM="==== Risk Management ===="; RecoveryMode=false; FixedLots=0.1; AutoMM=0.5; AutoMM_Max=5; | ||||
| Bars in test | 524288 | Ticks modelled | 38703011 | Modelling quality | n/a |
| Mismatched charts errors | 0 | ||||
| Initial deposit | 3000.00 | ||||
| Total net profit | 4315.96 | Gross profit | 21819.90 | Gross loss | -17503.94 |
| Profit factor | 1.25 | Expected payoff | 0.65 | ||
| Absolute drawdown | 1086.36 | Maximal drawdown | 1190.21 (38.35%) | Relative drawdown | 38.35% (1190.21) |
| Total trades | 6639 | Short positions (won %) | 3325 (76.21%) | Long positions (won %) | 3314 (78.58%) |
| Profit trades (% of total) | 5138 (77.39%) | Loss trades (% of total) | 1501 (22.61%) | ||
| Largest | profit trade | 31.89 | loss trade | -95.89 | |
| Average | profit trade | 4.25 | loss trade | -11.66 | |
| Maximum | consecutive wins (profit in money) | 41 (239.46) | consecutive losses (loss in money) | 12 (-118.04) | |
| Maximal | consecutive profit (count of wins) | 295.42 (36) | consecutive loss (count of losses) | -412.77 (8) | |
| Average | consecutive wins | 8 | consecutive losses | 2 | |
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#2 written by birt March 28, 2012 (1 year ago)
LOL, I get the reference, but the fact remains: Volatility Factor has a very nice live forward test.
Anyway, the drawbacks are clearly mentioned above: it has a dangerously high SL, it can go through periods of high drawdown and the backtests are limited to 2008+.
I actually tried to shift the history data in the future by 12 years using my HistoryShift script but for some reason MT4 doesn’t like that and refuses to run the backtest. If I have the time this week, I’ll try to perform a different stunt using my CSV2FXT script and Oanda data.
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#3 written by WiZARD March 28, 2012 (1 year ago)
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#5 written by Slim March 28, 2012 (1 year ago)
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#9 written by Sam1 March 29, 2012 (1 year ago)
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#11 written by Time Yap March 30, 2012 (1 year ago)
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#13 written by Francisco April 3, 2012 (1 year ago)
Hi Birt, When running backtest and configuring the EA for using StopLoss of 380 I see it uses the same stoploss for the 4 trades, this means that the max risk is not 380*4 because the distance between the trades and the stoploss is not the same for the 4 of them. I am not sure if I explained myself, please help me verify.
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#17 written by Slim April 7, 2012 (1 year ago)
To me it looks like that it would be a better idea to use WSFR at about 15% risk then to use this Robot one on 3% Risk. The results for the same period of backtesting 2008-2012 are: Starting with 5k you get a DD of 94.56% with Volatility Factor who in the world would not have given up at this point? then you end with 154k compared to WSFR you have only a DD of 45.29% and end with 539k.
So my oppinion is like Sam1 allready wrote.
@Birt i did not realize that you use real money again i thought you are using privatefx and this is demo. For just doing a live test forex4you cent account might be the best choice. Of course it makes no sense to use 5000Cent accounts if you had to buy the robot for 250$ before….-
#18 written by birt April 7, 2012 (1 year ago)
The spreads on all cent accounts that I know of (including Forex4you) just suck. They’re ranging from bad to very bad and they’re completely unsuitable for running any spread-sensitive EA. Please take a look at the posts in the FFM comment thread if you’re interested to know more info about why I decided to go with PrivateFX. As for paying for the EAs, luckily I receive review copies for most robots that I take an interest into (although there are exceptions) so it’s not an issue.
When comparing WSFR and VF, you’re quite right – I agree that if one had to choose, WSFR would easily seem to be the better choice but the whole point of the EA Top is to give the reader an overview of the EAs that they’re interested to know more about, so I tend to add most EAs that appear to have a potential for profit. The formula that I use for ranking works pretty well if I may say so and although I’ve been wrong about the profitability potential of a bunch of EAs, I still believe it serves the reader to also know where the failures sit.
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#19 written by Francisco April 7, 2012 (1 year ago)
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#22 written by Slim April 7, 2012 (1 year ago)
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#23 written by birt April 7, 2012 (1 year ago)
They are quite similar in style with a small difference: FGB opens more positions when the market moves in its favor while VF opens more when the market goes against it. Black Belt EA is much more akin to Forex Growth Bot: it opens extra positions when the market moves in its favor, the difference being that it trades almost continuously and it can open many more concurrent positions than FGB can.
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#24 written by Sponsor April 20, 2012 (1 year ago)
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#27 written by Francisco May 22, 2012 (1 year ago)
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#28 written by birt May 22, 2012 (1 year ago)
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#29 written by Francisco May 22, 2012 (1 year ago)
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#30 written by Francisco May 23, 2012 (1 year ago)
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#31 written by Krasi May 23, 2012 (1 year ago)
Actually i got my refund a few days ago.. it’s true i had to wait 3 days before they got back to me, but at least they got me refunded. It seems they process the refunds a bit slower, although their support is very quick (compared to the one of other EAs).. Anyway, you’ll probably get your refund very soon..
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#32 written by Francisco May 23, 2012 (1 year ago)
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#33 written by Krasi May 28, 2012 (12 months ago)
Relax
no need to panic. Usually most of the companies reply within 3 to 5 business days, so I don’t quite understand why you’re so worried, especially if you know your rights. Such big companies would not take any risks by cheating you, just to gain a few more bucks.. You will certainly get your money back.
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#34 written by birt May 23, 2012 (1 year ago)
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#35 written by Anchorpoint July 28, 2012 (10 months ago)
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#37 written by WiZARD August 27, 2012 (9 months ago)
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#38 written by birt August 27, 2012 (9 months ago)
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#40 written by Joao Santos August 28, 2012 (8 months ago)
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#41 written by Stevo September 21, 2012 (8 months ago)
Is it just me or do the backtests for 2008 to 2010 really suck in all strategies. 2010 to 2012 are good. So it seems they just optimized for 2010 to today for version 4.0. 3.0 Looks better the backtest from 2008 to now, but then again it was probably optimized for that time (2012 in loss so far).
The only good thing i can say about this ea is the exit strategy is good. -
#43 written by birt October 22, 2012 (7 months ago)
A 20% discount is available until the end of November 2012. You need to purchase Volatility Factor via Regnow and type VOLA-KT94-NHRO for the coupon code to take advantage of it.
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#44 written by Stefan May 5, 2013 (2 weeks ago)
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#45 written by birt May 6, 2013 (2 weeks ago)
I updated to v5 on 28.02.2013. I keep a forward test change history where you can see all the updates & their dates.
As for backtesting & a review, I’m really sorry but that won’t happen anytime soon because I badly lack time nowadays and because frankly the EA didn’t perform as well as I would have expected it to.
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#46 written by Anchorpoint May 20, 2013 (4 days ago)
This has performed quite promising since the release of new Version 5. Will put some more attention on this one and keep watching.
SL strategy is now changed so that on 4 open positions max neg pips are around 200 meaning that you will get hit by ca 2% trading 1% risk, 4% on 2% risk etc on a full SL.
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- Comment Feed for this Post
you are using an ea, with grid strategy, and limited backtests…
the world is changing very fast