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This MetaTrader 5 repository provides a diverse collection of automated trading systems, including tools for supply and demand, news fetching, and price action strategies. The primary expert advisor utilizes moving average crossovers and momentum filters to identify market pullbacks. It incorporates trade management fe
Collection · MT5
QuantAlgo Prop Firm Elite
Prop Firm Elite EA is a comprehensive trading suite for MetaTrader 5 designed for automated prop firm challenge management.
GitHub stars3
Forks0
Last update3 months ago6 Jun 2026
LicenceCustom licence
Overview
QuantAlgo Prop Firm Elite utilizes Smart Money Concepts, including Break of Structure and Fair Value Gaps, combined with exponential moving averages and RSI filters. The system manages risk through fixed percentage lot sizing, daily loss caps, and total account drawdown limits. It features professional execution tools such as automated breakeven triggers and ATR-based trailing stops. Traders can define specific London and New York session windows to align with peak market liquidity and volatility.
- Smart Money Concepts structure detection
- Institutional daily loss and drawdown protection
- ATR-based volatility trailing stop
- London and New York session filtering
- Automated breakeven and position management
Details
Author
thesenegalesehitch on GitHub
Type
Collection
Platform
MetaTrader 5 (MQL5)
Strategy
SMC / ICT / price action, Trend following, Indicator crossover
Markets
Forex, Gold, Indices
Timeframes
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
Input parameters
Read from propfirm-elite-ea.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpBOSPeriod | int | 12 | Période BOS (plus court = plus réactif) |
InpEMAFast | int | 21 | EMA Rapide (tendance court terme) |
InpEMASlow | int | 50 | EMA Lente (tendance moyen terme) |
InpEMATrend | int | 200 | EMA Macro (direction générale) |
InpRSIPeriod | int | 7 | RSI Période (court = réactif) |
InpRSIOverbought | int | 75 | RSI Surachat |
InpRSIOversold | int | 25 | RSI Survente |
InpVolumeMult | double | 1.3 | Multiplicateur Volume (confirmation momentum) |
InpRiskPercent | double | 0.75 | Risque par trade (%) - Conservateur |
InpRR_Ratio | double | 2.0 | Ratio Risk:Reward |
InpATRMult | double | 1.2 | Multiplicateur ATR pour SL |
InpATRPeriod | int | 10 | Période ATR |
Show all 25 inputs
| Name | Type | Default | Description |
|---|---|---|---|
InpUseBreakeven | bool | true | Activer Breakeven |
InpBE_Trigger | double | 1.0 | Breakeven après X * SL en profit |
InpUseTrailing | bool | true | Activer Trailing Stop |
InpTrailATRMult | double | 0.8 | Trailing = X * ATR |
InpDailyLossMax | double | 40.0 | Perte Max Jour $ (sécurité: 40 sur 50) |
InpTotalLossMax | double | 120.0 | Perte Max Totale $ (sécurité: 120 sur 150) |
InpDailyTarget | double | 20.0 | Objectif Jour $ (sécuriser les gains) |
InpMaxTrades | int | 5 | Max trades par jour |
InpMaxSpread | double | 25.0 | Spread max autorisé (en points) |
InpSession1Start | int | 8 | Session Londres début |
InpSession1End | int | 11 | Session Londres fin |
InpSession2Start | int | 14 | Session New York début |
InpSession2End | int | 17 | Session New York fin |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone thesenegalesehitch/Pine-Script 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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