This MetaTrader 5 expert advisor automates a multi-timeframe price action strategy, identifying price extremes on a higher timeframe to seek entries on a lower timeframe.
Price Action EA features time-of-day filters and robust risk management, including percentage-based position sizing, maximum daily trade counts, and daily profit and loss targets. The system enforces a fixed risk-to-reward ratio and minimum stop-loss distances. Notably, the code includes a hardcoded expiration date of February 2025 and lacks a README, requiring users to rely on the source code to understand its internal logic.
Read from PriceActionEA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
highTF
ENUM_TIMEFRAMES
PERIOD_M5
Higher TimeFrame
lowTF
ENUM_TIMEFRAMES
PERIOD_M1
Lower TimeFrame
candleCount
int
20
Candles to Check in Higher TF
startTime
string
12:00
Start Time
endTime
string
18:00
End Time
RR
double
2
Risk to Reward
extDistance
int
10
Minimum Extermum Distance | point
conduit
double
2
Bigger Number = More Distanced Peaks and Bottoms
riskCalcMtd
riskMethods
profit
How to Calculate Risk ?
minSL
int
10
Min SL Distance | point
Magic
int
1234
Magic number
maxDailyTrades
int
20
Show all 15 inputs
Name
Type
Default
Description
riskPercent
double
0.5
Risk Per Trade | %
dailyProfit
double
2
Daily Profit Target | %
dailyLoss
double
1
Daily Loss Limit | %
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone Far-1d/price-action-ea from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 file into Experts.
4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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