Adaptive Forex AI Trader: Free MT4 Expert Advisor

Overview

Adaptive Forex AI Trader incorporates machine learning, candlestick pattern recognition, and multi-timeframe analysis to generate trade signals. Risk is controlled through stop loss and take profit levels, a trailing stop, and a daily equity risk limit. The EA also includes advanced features such as volatility filtering, correlation checks, and an economic calendar news filter. While the repository lacks a README, the parameters suggest a sophisticated system focused on adaptive learning and diverse technical filters.

Machine learning based signal generation

Candlestick pattern recognition engine

Multi-timeframe market analysis

Volatility and correlation filtering

Built-in economic calendar news filter

Details

Author

chanalvarez on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4)

Strategy

AI / machine learning, Multi-strategy, Martingale

Markets

Forex, Gold

Timeframes

M15-H1, H4 and above

Risk profile

Uses martingale lot scaling: losses can grow fast

EA files

AdaptiveForexAITrader.mq4

Source

github.com/chanalvarez/TBOT

Input parameters

Read from AdaptiveForexAITrader.mq4. Defaults are the author's; change them in the EA's Inputs tab.

Name	Type	Default	Description
`General_Settings`	`string`	`===== General Settings =====`
`MagicNumber`	`int`	`12345`	Magic number for orders
`RiskPercent`	`double`	`2.0`	Risk per trade (% of balance)
`MaxDailyRisk`	`double`	`6.0`	Maximum daily risk (% of balance)
`Slippage`	`int`	`3`	Allowed slippage in pips
`MaxSpread`	`int`	`5`	Maximum allowed spread in pips
`Trading_Settings`	`string`	`===== Trading Settings =====`
`TradeOnNewBar`	`bool`	`true`	Only trade on new bar
`StopLoss`	`int`	`50`	Stop loss in pips
`TakeProfit`	`int`	`100`	Take profit in pips
`TrailingStop`	`int`	`30`	Trailing stop in pips
`TrailingStep`	`int`	`10`	Trailing step in pips

Show all 40 inputs

Name	Type	Default	Description
`UseTrailingStop`	`bool`	`true`	Use trailing stop
`AnalysisTimeframe`	`ENUM_TIMEFRAMES`	`PERIOD_H1`	Timeframe for analysis
`Pairs_Settings`	`string`	`===== Trading Pairs =====`
`Trade_EURUSD`	`bool`	`true`	Trade EURUSD
`Trade_GBPUSD`	`bool`	`true`	Trade GBPUSD
`Trade_USDJPY`	`bool`	`true`	Trade USDJPY
`Trade_USDCHF`	`bool`	`true`	Trade USDCHF
`Trade_AUDUSD`	`bool`	`true`	Trade AUDUSD
`Trade_USDCAD`	`bool`	`true`	Trade USDCAD
`Trade_NZDUSD`	`bool`	`true`	Trade NZDUSD
`Trade_EURGBP`	`bool`	`true`	Trade EURGBP
`Trade_EURJPY`	`bool`	`true`	Trade EURJPY
`Trade_GBPJPY`	`bool`	`true`	Trade GBPJPY
`Trade_XAUUSD`	`bool`	`true`	Trade XAUUSD
`Advanced_Settings`	`string`	`===== Advanced Features =====`
`UseML`	`bool`	`true`	Use machine learning
`MLPeriod`	`int`	`14`	Period for ML indicators
`UseMultiTimeframe`	`bool`	`true`	Use multi-timeframe analysis
`UsePatternRecognition`	`bool`	`true`	Use candlestick pattern recognition
`UseSentimentAnalysis`	`bool`	`true`	Use market sentiment analysis
`UseVolatilityFilter`	`bool`	`true`	Filter trades based on volatility
`UseCorrelationFiltering`	`bool`	`true`	Filter correlated pairs
`UseAdvancedMoneyManagement`	`bool`	`true`	Use advanced money management
`UseEconomicCalendar`	`bool`	`true`	Use economic calendar
`AvoidNews`	`bool`	`true`	Avoid trading during news
`Adaptive_Settings`	`string`	`===== Adaptive Learning =====`
`UseAdaptiveLearning`	`bool`	`true`	Use adaptive learning
`LearningRate`	`double`	`0.05`	Learning rate (0.01-0.1)

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone chanalvarez/TBOT from GitHub, and unzip it.

2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.

3Copy the filesCopy the .mq4 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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