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エキスパート

e_OnMA_004 - MetaTrader 4のためのエキスパート

ビュー:
17273
評価:
(7)
パブリッシュ済み:
2012.01.23 15:46
アップデート済み:
2014.04.21 14:55
このコードに基づいたロボットまたはインジケーターが必要なら、フリーランスでご注文ください フリーランスに移動

Description:

EA is based on 2 MA (High and Low). Long position will occur when Ask > MA(High) and Short position - when Bid < MA(Low) .

This Expert Advisor is not a Holy Grail. You should optimize the input parameters for each Symbol and TF.

Strategy Tester Report e_O nMA_004

MT4 Live Server (Build 406)


Symbol EURUSD (Euro vs. United States Dollar)
Period 15 Minutes (M15) 2011.11.28 00:00 - 2012.01.20 22:45 (2011.11.26 - 2012.01.21)
Model Every tick (the most precise method based on all available least timeframes)
Parameters maPeriod_1=7; maMethod_1=0; maAppPrice_1=2; maPeriod_2=5; maMethod_2=0; maAppPrice_2=3; Prof=25; TP=50; SL=550; UseMM=false; PercentMM=5; Lots=1;
Bars in test 4754 Ticks modelled 2675105 Modelling quality 90.00%
Mismatched charts errors 12
Initial deposit 10000.00
Total net profit 6252.53 Gross profit 6788.53 Gross loss -536.00
Profit factor 12.67 Expected payoff 23.86
Absolute drawdown 524.50 Maximal drawdown 2505.00 (15.18%) Relative drawdown 17.23% (2496.00)
Total trades 262 Short positions (won %) 128 (99.22%) Long positions (won %) 134 (100.00%)
Profit trades (% of total) 261 (99.62%) Loss trades (% of total) 1 (0.38%)
Largest profit trade 34.50 loss trade -536.00
Average profit trade 26.01 loss trade -536.00
Maximum consecutive wins (profit in money) 261 (6788.53) consecutive losses (loss in money) 1 (-536.00)
Maximal consecutive profit (count of wins) 6788.53 (261) consecutive loss (count of losses) -536.00 (1)
Average consecutive wins 261 consecutive losses 1

Wipeout Wipeout

Closes all orders when total cash profit in the account is a certain value.

Ticks-MilSec Ticks-MilSec

This indicator is calculating numbers of ticks and average time between ticks for each minute in the current hour.

Gaussian Rainbow Gaussian Rainbow

Rainbow through gaussian refirtration

Gaussian Bands Gaussian Bands

StDev Bands with gaussian smoothing