Nah Strategies utilizes Exponential Moving Averages for trend identification, alongside Relative Strength Index and Moving Average Convergence Divergence for entry timing. Risk management is handled through fixed lot sizes and an optional trailing stop feature. The EA includes built-in time filters to restrict trading to specific hours and avoid holding positions late on Fridays. The documentation is minimal as the project is in early development.
Trend detection via dual Exponential Moving Averages
Momentum filtering with RSI and MACD indicators
Volatility analysis using Average True Range
Time-restricted trading windows and Friday exit filters
Read from nahStrategies.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
TimeFrame
ENUM_TIMEFRAMES
PERIOD_M5
FastEMAPeriod
int
21
SlowEMAPeriod
int
50
RSIPeriod
int
14
RSIOverbought
double
70.0
RSIOversold
double
30.0
MACDFastEMA
int
12
MACDSlowEMA
int
26
MACDSignalSMA
int
9
ATRPeriod
int
14
ATRMultiplier
double
1.5
UseTradeHours
bool
true
Show all 19 inputs
Name
Type
Default
Description
TradeHourStart
int
8
TradeHourEnd
int
20
UseFridayFilter
bool
true
FridayCutoffHour
int
17
LotSize
double
0.1
UseTrailingStop
bool
true
MagicNumber
uint
20250101
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone DocProvolone/nahStrategies 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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