AI Game Theory Trader: Free MT5 Expert Advisor

Overview

AI Game Theory Trader utilizes adaptive logic to calculate lot sizes based on user-defined risk percentages. The EA manages risk through stop losses, take profits, and trailing stops, which can be fixed or ATR-derived. Additional protections include daily loss limits, maximum equity drawdown constraints, and trade frequency caps. The README focuses on a Python data-fetching utility rather than the trading logic. The system includes time-filtered trading and automatic end-of-day position closing.

Nash-style statistical signal generation

ATR-based trailing stop management

Daily loss and equity drawdown protection

Adaptive position sizing based on risk

Details

Author

can87683 on GitHub

Type

Trading robot

Platform

MetaTrader 5 (MQL5)

Strategy

AI / machine learning

Markets

Forex, Indices

Timeframes

Any timeframe

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

github.com/can87683/MetaTrader

Input parameters

Read from ai_game_trade.mq5. Defaults are the author's; change them in the EA's Inputs tab.

Name	Type	Default
`ExpertName`	`string`	`AI Game Theory Trader`
`MagicNumber`	`int`	`2024`
`Slippage`	`int`	`10`
`NashPeriod`	`int`	`100`
`NashDeviationMultiplier`	`double`	`0.02`
`MinConfidenceEntry`	`double`	`0.65`
`ValidateNashZone`	`bool`	`true`
`MinBarsBetweenTrades`	`int`	`3`
`CloseOppositeOnSignal`	`bool`	`true`
`UseAutoLot`	`bool`	`true`
`RiskPercent`	`double`	`1.0`
`FixedLotSize`	`double`	`1.0`

Show all 38 inputs

Name	Type	Default	Description
`MaxOpenTrades`	`int`	`5`
`MaxDailyLossPercent`	`double`	`2.0`
`MaxEquityDrawdownPercent`	`double`	`5.0`
`UsePercentSL`	`bool`	`true`	DEFAULT = FIXED %
`StopLossPercent`	`double`	`1.5`	DEFAULT = 1.5%
`ATRMultiplierSL`	`double`	`1.5`	Used only if UsePercentSL=false
`StopLossPoints`	`double`	`200`	Fallback if ATR disabled/invalid
`UsePercentTP`	`bool`	`false`
`TakeProfitPercent`	`double`	`0.0`
`ATRMultiplierTP`	`double`	`3.0`
`TakeProfitPoints`	`double`	`400`
`UseTrailingStop`	`bool`	`true`
`TrailByATR`	`bool`	`true`
`ATRMultiplierTrail`	`double`	`1.0`
`TrailingStopPoints`	`double`	`1000`
`TrailActivatePct`	`double`	`5.0`
`MaxTradesPerDay`	`int`	`5`
`MaxTradesPerWeek`	`int`	`20`
`NoTradeOnFriday`	`bool`	`true`
`EndOfDayClose`	`bool`	`true`
`EndOfDayHour`	`int`	`23`
`MaxSpreadPoints`	`double`	`30.0`
`VerboseLog`	`bool`	`true`
`LogEveryNTicks`	`int`	`100`
`EnableAutoDiscovery`	`bool`	`true`
`ShowDiscoveryDetails`	`bool`	`true`

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone can87683/MetaTrader 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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