This repository features a collection of MetaTrader 5 expert advisors implementing various technical strategies such as time-range breakouts, order blocks, and candle pattern recognition.
The primary time-range EA identifies price extremes within a user-defined window to trigger entries on breakouts. It includes risk management controls like stop loss and take profit calculated as a percentage of the range, along with session-based filters for specific weekdays and an automated daily close time for open positions. The collection covers various automated trading concepts from trend following to liquidity sweeps.
Read from 13.TimeRange.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
InpRangeStart
int
600
range start time in minutes
InpRangeDuration
int
120
range duration in mintes
InpRangeClose
int
1200
range close time(-1=off)
InpLots
double
0.01
In lots
InpMagicNumber
long
1235
magic number
InpStopLoss
int
150
stop loss in % of the range(0=off)
InpTakeProfit
int
200
take profit int % of the range(0=off)
InpMonday
bool
true
range on monday
InpTuesday
bool
true
range on tuesday
InpWednesday
bool
true
range on wednesday
InpThursday
bool
true
range on thursday
InpFriday
bool
true
range on friday
Show all 13 inputs
Name
Type
Default
Description
InpBreakoutMode
BREAKOUT_MODE_ENUM
ONE_SIGNAL
breakout mode
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone MRITUNJAYMADDHESHIYA/Algo_Trading 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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