This repository provides a diverse collection of MetaTrader 4 and MetaTrader 5 expert advisors covering multiple trading methodologies. It includes robots for smart money concepts with fair value gap detection, Joe Ross hook patterns, and volatility-based scalping. The library features specific tools for XAUUSD and mul
Collection · MT5
VSendra MT5 EA Collection
This repository contains a collection of MetaTrader 5 expert advisors focusing on various automated strategies.
GitHub stars1
Forks0
Last update5 months ago15 Apr 2026
LicenceNone stated
Overview
Notable files include a liquidity sweep scalper, an opening range breakout tool, and an index arbitrage EA. The primary liquidity sweep EA uses price action filters like candle size and wick ratios alongside ATR-based stop losses. It features risk management through percentage-based lot sizing, trailing stops, and time-of-day restrictions. Since there is no README, technical details are derived from the code and input parameters.
- Multiple scalping and breakout strategies
- ATR-based volatility filters
- Dynamic risk and lot sizing controls
- Time-of-day and day-of-week trading filters
- Price Momentum Oscillator trend filtering
Details
Author
VSendraS on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
Scalping, Breakout, SMC / ICT / price action, Arbitrage
Markets
Forex, Indices
Timeframes
M1-M5, M15-H1
Risk profile
No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.
EA files
Source
Input parameters
Read from LiquiditySweepScalper.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
StartHour | int | 15 | |
StopHour | int | 18 | |
RiskPercent | double | 1 | Risk as % of Trading Capital |
InpFixedLot | double | 0.01 | Fixed lot (only if Risk Percent = 0) |
InpTpFactorBuy | double | 1 | TP as sl multiplier for buys |
InpTpFactorSell | double | 1 | TP as sl multiplier for sells |
InpTsltrigger | double | 10 | Trail Trigger as % of TP |
InpTslpoints | double | 5 | Trail SL as % of TP |
SpreadFilterOn | bool | true | |
InpMaxSpread | int | 5 | Max spread to allow a trade as % of Trailing Stop |
ATR_Period | int | 14 | atr period |
ATR_Price | ENUM_APPLIED_PRICE | PRICE_TYPICAL | atr price |
Show all 37 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpSlBuffer | double | 100 | Points for SL buffer above/below the trigger |
timeframe | ENUM_TIMEFRAMES | PERIOD_CURRENT | |
InpMagic | int | 77777 | EA id number |
HideIndicators | bool | true | |
retracementLevel | double | 0.5 | |
allowSells | bool | false | |
PMOfilter | bool | false | allow PMO trend filter |
inpPeriod1 | int | 200 | Period1 PMO |
inpPeriod2 | int | 50 | Period2 PMO |
inpPeriodSignal | int | 20 | PMO Signal period |
PeriodPMO | ENUM_TIMEFRAMES | PERIOD_D1 | |
CandleSizeFilter | bool | false | |
SizeMultiplier | double | 0.75 | Body Candle > Multplier of ATR |
WickMultiplier | double | 0.5 | Wick is 50% of total candle |
tradeMonday | bool | true | |
tradeTuesday | bool | true | |
tradeWednesday | bool | true | |
tradeThursday | bool | true | |
tradeFriday | bool | true | |
tradeSaturday | bool | false | |
tradeSunday | bool | false | |
MaxTrades | int | 2 | |
MaxBarsSweep | int | 3 | |
InpLeftBarsSkip | int | 3 | |
MaxBarsLeft | int | 25 |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone VSendraS/MT5 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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