Quantum AI Trader Pro offers a versatile multi-strategy approach, allowing users to toggle between trend-following, scalping, and grid-hedging behaviors. Risk controls are comprehensive, featuring fixed percentage lot sizing, daily loss limits, and a maximum drawdown guard. Trade management includes ATR-based dynamic trailing stops and a tiered breakeven system. The EA also integrates news filters and sentiment analysis to refine entry logic during high volatility events.
Ensemble and deep learning signal processing
Dynamic ATR-based trailing stop and tiered breakeven
Read from Quantum_AI_Trader_Pro.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
ML_Lookback_Period
int
200
ML_Confidence_Threshold
double
0.78
Use_Deep_Learning
bool
true
ML_Retrain_Hours
int
24
Use_Scalping_Mode
bool
false
Use_Swing_Mode
bool
true
Use_Grid_Hedging
bool
false
Use_News_Filter
bool
true
Use_Sentiment_Analysis
bool
true
Risk_Per_Trade
double
1.0
Daily_Risk_Limit
double
5.0
Max_Consecutive_Losses
int
3
Show all 22 inputs
Name
Type
Default
Description
Use_Adaptive_SL_TP
bool
true
Use_Correlation_Filter
bool
true
Max_Drawdown_Percent
double
15.0
EMA_Fast
int
8
EMA_Slow
int
21
EMA_Trend
int
50
RSI_Period
int
14
ATR_Period
int
14
Bollinger_Period
int
20
Bollinger_Deviation
double
2.0
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone ExMsg/QuantumEA-AI_Trader_Pro 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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