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Mastering MultiNeyro: A Trader's Guide to MetaTrader 4

Mike • 2008-12-24 16:49
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Hey fellow traders! Today, we’re diving into the MultiNeyro Expert Advisor (EA) for MetaTrader 4 and how it can elevate your trading game.

Strategy Tester Overview

Strategy Tester Report
N7S_AO_772012
Platform: Alpari-Demo (Build 220)

Symbol EURUSD (Euro vs US Dollar)
Period 5 Minutes (M5) 2008.11.10 00:00 - 2008.12.19 22:59
Model Open prices only (for EAs controlling bar openings)
Parameters Trd_Up_X=true; tpx=5; slx=90; px=8; x1=44; x2=24; x3=78; x4=99; Trd_Dn_Y=true; tpy=5; sly=80; py=17; y1=2; y2=63; y3=31; y4=6; Text0="BTS F=1"; F=1; pz=6; z1=31; z2=70; z3=27; z4=99; Text1="BTS"; G=4; Text2="XXXXXXXXXXXXX"; tpX=4.5; slX=20; pX=3; X1=8; X2=44; X3=40; X4=61; Text3="YYYYYYYYYYYYY"; tpY=1; slY=80; pY=29; Y1=6; Y2=36; Y3=73; Y4=33; Text4="ZZZZZZZZZZZZ"; pZ=31; Z1=56; Z2=71; Z3=45; Z4=93;

Bars in test
 9557 Ticks modelled
 18110 Modelling quality
 n/a
Mismatched charts errors
 0




Initial deposit
 £2000.00



Total net profit
 £797.06 Gross profit
 £931.43 Gross loss
 -£134.38
Profit factor
 6.93 Expected payoff
 £15.63

Absolute drawdown
 £2.20 Maximum drawdown
 £66.40 (2.39%) Relative drawdown
 2.39% (66.40)

Total trades
 51 Short positions (won %) 22 (81.82%) Long positions (won %) 29 (68.97%)

 Profit trades (% of total) 38 (74.51%) Loss trades (% of total) 13 (25.49%)
Largest profit trade
 £170.08 loss trade
 -£18.40
Average profit trade £24.51 loss trade -£10.34
Maximum consecutive wins (profit in money) 7 (£317.36) consecutive losses (loss in money) 2 (-£8.80)
Maximum consecutive profit (count of wins) £317.36 (7) consecutive loss (count of losses) -£18.40 (1)
Average consecutive wins 3 consecutive losses 1

When it comes to currency pairs, you can use different ones, but only EURUSD has undergone comprehensive testing.

For the chart period, I recommend M1, M5, and M15, but I personally prefer M5.

The EA can be tested and optimized based on open prices on M5. Just keep in mind that some minor differences may occur when testing on different timeframes due to the EA’s unique characteristics.

MultiNeyro uses a two-range tuning algorithm with a two-level, three-stage optimization process. Here’s a quick breakdown:

  • First Range: Set G=0 (not equal to 2, 3, 4)
  • First Level F=0
    • First Stage: Trd_Up_X=true, Trd_Dn_Y=false for parameters with “x”
    • Second Stage: Trd_Up_X=false, Trd_Dn_Y=true for parameters with “y”
  • Second Level F=1
    • Third Stage: Trd_Up_X=true, Trd_Dn_Y=true for parameters with “z”

The second range is smaller than the first and is tuned afterward, with G set to 2, 3, or 4:

  • First Stage G=2 for parameters with “X”
  • Second Stage G=3 for parameters with “Y”
  • Third Stage G=4 for parameters with “Z”

After full optimization, the state flags should read:

Trd_Up_X=true, Trd_Dn_Y=true, F=1, G=4

The parameters (x1..y2..Y3..Z4) are optimized according to the neural network rules, ranging from 0 to 100. If you decide to change it to 100, the range will extend from 0 to 200.

As for the slx, sly, slX, and slY parameters, the initial stop is optimized from 20+ to 100+, depending on your preferences and system capabilities.

The tpx, tpy, tpX, and tpY parameters typically range from 2 to 5+, with increments of 0.2-0.5.

Lastly, determining the tuning ranges is crucial, and it can be a lengthy process. I encourage those interested to get involved! I’ve been testing two variations on demo accounts:

  • First Variation: Initial range of 4-6 weeks with weekly re-optimization.
  • Second Variation: Shorter range of 3-5 days with re-optimization every 1-3 days.

The second variation is still a work in progress, and I’m constantly experimenting!

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