This repository provides a collection of MetaTrader 4 and 5 expert advisors, including the modular Super Trading Bot series and an AI-driven trading template. The EAs utilize various technical indicators like Bollinger Bands, Parabolic SAR, and moving averages for trend-following and scalping. Built-in risk management
Collection · MT4
Mt4 Ai Trading
This MetaTrader 4 expert advisor connects to a Python FastAPI backend to facilitate automated trading based on Claude AI signals.
GitHub stars2
Forks0
Last update4 months ago22 May 2026
LicenceNone stated
Overview
The system transmits market data to the server, which performs multi-indicator analysis and sentiment processing before returning trade recommendations. It features multi-timeframe trend filtering across M5, H1, and H4 charts, supply and demand zone detection, and news sentiment integration. Risk controls include an equity drawdown guard, maximum position limits, session filters, and dynamic lot sizing.
- AI-powered signal generation via Claude
- Multi-timeframe trend and momentum analysis
- Integrated news sentiment analysis
- Drawdown protection and account safety guard
- Supply and demand zone detection
Details
Author
160037lk on GitHub
Type
Collection
Platform
MetaTrader 4 (MQL4)
Strategy
AI / machine learning, Trend following, News, SMC / ICT / price action
Markets
Gold, 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 V1.6.4_新闻.mq4. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
Lots | double | 0.01 | |
MagicNumber | int | 8896 | |
Timeout | int | 5000 | |
MaxSlippage | int | 5 | |
MaxSpread | int | 2000 | |
MaxPositions | int | 2 | |
InterOrderDelayMs | int | 200 | |
MinSecondsBetweenBatches | int | 60 | Entry cooldown (seconds) |
EnableDrawdownGuard | bool | true | |
MaxDrawdownPercent | double | 8.0 | |
DrawdownPauseSeconds | int | 600 | |
DrawdownAlertCooldownSeconds | int | 60 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
PersistRuntimeState | bool | true | |
EnableDynamicLotSizing | bool | true | |
MinLotMultiplier | double | 0.5 | |
MaxLotMultiplier | double | 1.5 | |
ServerURL | string | http://127.0.0.1:5000 | |
AuthToken | string | MySecretToken123 | |
EnableWinInetFallback | bool | true | |
AutoDisableWebRequestOn5200 | bool | true | |
AdvisoryPollSeconds | int | 5 | |
AdvisoryHistoryBars | int | 120 | |
AdvisoryUsePost | bool | true | |
AdvisoryHTFTimeframe | int | PERIOD_H1 | |
AdvisoryHTFHistoryBars | int | 120 | |
EnableLocalRuleTrading | bool | true | |
EnableBackendAdvisoryTrading | bool | false | |
EnableAIAutoTrading | bool | false | |
AutoTradeMinConfidence | double | 0.70 | |
EntryTimeframe | int | PERIOD_M5 | M5 entry |
ConfirmTimeframe | int | PERIOD_H1 | H1 confirmation |
TrendTimeframe | int | PERIOD_H4 | H4 trend filter |
EnableSessionFilter | bool | false | |
SessionStartHour | int | 0 | |
SessionEndHour | int | 24 | |
AvoidAsianSession | bool | false | |
AsianSessionStart | int | 0 | |
AsianSessionEnd | int | 0 | |
EnableSupplyDemand | bool | true | |
SDLookback | int | 20 | Bars to detect S/D zones |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone 160037lk/mt4-ai-trading 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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