EA Scalper XAUUSD is an automated trading research project for MetaTrader 5 focused on gold. It employs a multifaceted entry strategy using Smart Money Concepts like order blocks and liquidity sweeps, alongside moving average crossovers and Fibonacci zones. The EA includes a self-learning module designed to adapt to di
Trading robot · MT5
Adaptive AI Scalper
Adaptive AI Scalper is a modular MetaTrader 5 robot designed for high-frequency scalping.
GitHub stars3
Forks2
Last update1 year ago4 Jul 2025
LicenceMIT
Overview
Adaptive AI Scalper identifies trade entries using a weighted scoring system that evaluates signals from RSI, Moving Averages, and Bollinger Bands. The EA manages risk through automated lot sizing, ATR-based stop loss and take profit levels, trailing stops, and a break-even trigger. Additional safety features include an equity guard that halts trading based on drawdown percentages, a spread filter, and a time-window filter for specific trading hours. The current version uses rule-based logic to simulate adaptive decision-making.
- Multi-indicator signal scoring logic
- ATR-based dynamic stop loss and take profit
- Equity guard protection and spread filters
- Trailing stop and break-even management
- Time-based trading window and cooldown timers
Details
Author
Xzmjj on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
Scalping, Indicator crossover
Markets
Forex
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
Input parameters
Read from AdaptiveAI_Scalper_v1.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Lots | double | 0.1 | |
UseAutoLot | bool | true | |
RiskPercent | double | 20.0 | |
Slippage | int | 3 | |
ATR_SL_Multiplier | double | 2.0 | |
ATR_TP_Multiplier | double | 15.0 | |
MagicNumber | int | 123456 | |
ATR_Period | int | 14 | |
RSI_Period | int | 14 | |
RSI_Overbought | double | 60 | |
RSI_Oversold | double | 40 | |
EMASlow | int | 50 |
Show all 31 inputs
| Name | Type | Default | Description |
|---|---|---|---|
EMAFast | int | 20 | |
SpreadLimit | double | 20 | |
UseTrailingStop | bool | true | |
TrailingStart | double | 30 | |
TrailingStep | double | 10 | |
UseBreakEven | bool | true | |
BreakEvenTrigger | double | 30 | |
BreakEvenOffset | double | 2 | |
TradeStartHour | int | 8 | |
TradeEndHour | int | 18 | |
EnableEquityGuard | bool | true | |
EquityStopPercent | double | 70 | |
CooldownMinutes | int | 15 | |
Score_RSI | int | 35 | |
Score_EMA | int | 50 | |
Score_BB | int | 15 | |
Score_EMA_HTF | int | 10 | |
Score_Spread | int | 10 | |
Score_EMA_Close | int | -10 |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone Xzmjj/AdaptiveAI_Scalper_v1 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, and any .mqh files into the Include folder the code expects.
- 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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