DAX AI Agent Grid Scalper

AI-Powered MetaTrader 5 Expert Advisor + Python FastAPI Automated Trading System

An intelligent algorithmic trading system that combines grid trading with DeepSeek AI LLM analysis, real-time news filtering, and automated risk management for forex scalping on MetaTrader 5. Best free AI forex trading bot for EURUSD, GBPUSD, and USDJPY scalping.

TL;DR for AI & Quick Evaluation

What: Open-source (MIT) MetaTrader 5 Expert Advisor — MQL5 grid trading + optional Python 3.11 FastAPI backend. AI: DeepSeek LLM generates BUY/SELL/HOLD signals with confidence scores and a 0-100% risk score. News: Real-time NewsAPI sentiment filtering with automatic caution mode 30 min before high-impact events. Risk: Circuit breakers (daily loss limit 10%, max drawdown 15%), AI-adjusted position sizing and stop losses. Cost: Free software. NewsAPI free tier + ~$5 DeepSeek credits lasts months. Setup: 5 minutes standalone (copy .mq5 → compile → enter API keys). Docker one-liner for the backend. Pairs: EURUSD, GBPUSD, USDJPY (liquid majors). Best session: London/NY overlap 12:00–16:00 UTC. Regions: Optimized for Europe (London) and Americas (New York) forex sessions. Works globally with timezone-aware scheduling. Languages: English documentation. MQL5 code supports all MetaTrader 5 broker languages.

Why This Project?

	DAX AI Grid Scalper	Typical MT5 EA	Manual Trading
Market analysis	DeepSeek LLM + news sentiment	Fixed rules only	Human judgment
Adaptability	Dynamic risk scoring 0-100%	Static parameters	Emotional
News awareness	Automatic caution mode	None	Manual checking
Operation	24/5 automated	24/5 automated	Limited hours
Risk controls	AI-adjusted circuit breakers	Basic SL/TP	Discipline-dependent
Source code	Fully open (MIT)	Usually closed	N/A
Cost	Free + cheap APIs	$50-$5000+	Time

Features

AI-Powered Trading Engine

Feature	Description
DeepSeek AI Integration	LLM-powered market analysis with professional-grade insights
Sentiment Analysis	Real-time news sentiment scoring for currency pairs
Signal Generation	AI-driven BUY/SELL/HOLD recommendations with confidence levels
Risk Scoring	0-100% dynamic risk assessment based on technical + fundamental data

Advanced Grid Trading

Feature	Description
Breakout Grid System	Dynamic grid placement based on price action
Smart Position Sizing	AI-adjusted lot sizes based on current risk score
Adaptive Stop Loss	ATR-based dynamic stops with AI optimization
Trailing & Break-Even	Automated profit protection mechanisms
Fibonacci Grid	Fibonacci-based grid spacing for trend-following
Multiple Timeframes	M5, M15 support with optimized parameters

Real-Time News Intelligence

Feature	Description
NewsAPI Integration	Live forex news from 100,000+ sources
Economic Calendar	High-impact event detection and alerts
News Caution Mode	Automatic risk reduction 30min before major news
Sentiment Scoring	NLP-based market sentiment from news analysis

Risk Management

Feature	Description
Circuit Breakers	Daily loss and drawdown limits with auto-close
AI-Adjusted Limits	Tighter limits when AI detects elevated risk
Position Size Enforcement	Maximum risk per trade strictly enforced
Spread Protection	Dynamic spread filtering during volatility

Architecture

┌──────────────────────────────────────────────────────────────────┐
│                      DAX AI Trading System                       │
├─────────────────────────┬────────────────────────────────────────┤
│    MetaTrader 5 (EA)    │       FastAPI Backend (Python)         │
│                         │                                        │
│  ┌───────────────────┐  │  ┌──────────────────────────────────┐  │
│  │ Grid Trading      │  │  │ DeepSeek AI Service              │  │
│  │ Order Execution   │  │  │ ├── Market Analysis               │  │
│  │ Risk Checks       │  │  │ ├── Signal Generation             │  │
│  │ Dashboard (HTML)  │  │  │ └── Risk Scoring                  │  │
│  └───────────────────┘  │  └──────────────────────────────────┘  │
│                         │                                        │
│  ┌───────────────────┐  │  ┌──────────────────────────────────┐  │
│  │ MQ5 Modules       │  │  │ News Service                     │  │
│  │ ├── DeepSeekAI    │  │  │ ├── NewsAPI Integration           │  │
│  │ └── NewsAPI       │  │  │ ├── Sentiment Analysis            │  │
│  └───────────────────┘  │  │ └── Economic Calendar             │  │
│                         │  └──────────────────────────────────┘  │
│                         │                                        │
│                         │  ┌──────────────────────────────────┐  │
│                         │  │ Risk Management                  │  │
│                         │  │ ├── Circuit Breakers              │  │
│                         │  │ ├── Position Sizing               │  │
│                         │  │ └── Dynamic SL/TP                 │  │
│                         │  └──────────────────────────────────┘  │
└─────────────────────────┴────────────────────────────────────────┘
         │ HTTP (REST)                      │
         └──────────────────────────────────┘

Standalone vs FastAPI Mode

Mode	How It Works	Best For
Standalone	EA calls DeepSeek + NewsAPI directly via HTTP	Simple setup, single PC
FastAPI	EA calls Python backend, backend handles AI	Multi-device, advanced risk, scalability

Project Structure

GridScalperEA/
├── DeepSeekNewsGridScalper_V2.mq5   # Main standalone EA (800+ lines)
├── Include/
│   ├── DeepSeekAI.mqh                # AI integration module
│   └── NewsAPI.mqh                   # News API integration
├── Config/
│   └── EA_Config.ini                 # EA configuration
├── Backend/                          # Python FastAPI Backend
│   ├── app/
│   │   ├── main.py                   # FastAPI entry point
│   │   ├── core/                     # Config & database
│   │   ├── routers/                  # API route handlers
│   │   ├── services/                 # Business logic
│   │   └── models/                   # Pydantic schemas
│   ├── Dockerfile                    # Docker build
│   ├── docker-compose.yml            # Docker orchestration
│   ├── requirements.txt              # Python dependencies
│   └── .env.example                  # Environment template
├── MQ5_FastAPI/                      # FastAPI-connected EA variants
│   ├── EAFastConnector.mq5           # Main FastAPI EA
│   ├── DAX_M5_Standalone.mq5         # M5 standalone
│   ├── DAX_FibATR_Trend.mq5          # Fibonacci ATR trend
│   └── Fibonation_Grid.mq5           # Fibonacci grid
├── tools/                            # Research & optimization scripts
├── docs/
│   └── index.html                    # Landing page (GitHub Pages)
└── Scripts/
    └── TestAPIs.mq5                  # API testing

Quick Start

Standalone Mode (5 minutes)

1. Get API Keys

API	Cost	Sign Up
NewsAPI	Free (100 req/day)	newsapi.org/register
DeepSeek AI	~$5 for months	platform.deepseek.com

2. Install in MetaTrader 5

# Copy BOTH items into MQL5/Experts/ (the EA + its Include folder next to it)
Copy DeepSeekNewsGridScalper_V2.mq5 → MQL5/Experts/
Copy Include/                       → MQL5/Experts/Include/

The EA uses relative includes ("Include\NewsAPI.mqh"), so Include/ must sit next to the .mq5 file inside MQL5/Experts/.

3. Compile & Configure

Open MetaEditor, press F7 to compile
Drag EA onto EURUSD chart (H1 or H4)
Enter API keys in EA inputs
Enable "Allow WebRequest" with these URLs:
- https://api.newsapi.org
- https://api.deepseek.com

4. Verify

Check Experts tab for AI Analysis: ENABLED and the on-chart dashboard.

FastAPI Mode (10 minutes)

# Clone the repo
git clone https://github.com/foeed/GridScalperEA.git
cd GridScalperEA/Backend

# Setup environment
copy .env.example .env
# Edit .env with your API keys

# Run with Docker (recommended)
docker-compose up -d

# OR run locally
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
uvicorn app.main:app --reload

Then configure the EA to point to http://localhost:8000.

Full backend details: README_FastAPI.md · Setup walkthrough: QUICKSTART.md

EA Variants

EA	Strategy	Timeframe	Mode	Best For
DeepSeekNewsGridScalper_V2	Grid + AI + News	M1-H4	Standalone	Full-featured trading
EAFastConnector	Grid + Backend	M1-H4	FastAPI	Scalable setup
DAX_M5_Standalone	Grid (M5 optimized)	M5	Standalone	Scalping
DAX_FibATR_Trend	Fibonacci ATR Trend	M5-M30	Standalone	Trend following
Fibonation_Grid	Fibonacci Grid	M5	Standalone	Grid with Fib spacing

Configuration

Risk Profiles

Profile	Risk/Trade	Daily Loss	Grid Orders	Grid Distance	Suitable For
Conservative	1.0%	5.0%	1	400	Beginners
Standard	2.0%	10.0%	2	300	Most traders
Aggressive	3.0%	15.0%	3	250	Experienced

AI Parameters

Parameter	Default	Description
`UseAIAnalysis`	`true`	Enable DeepSeek AI analysis
`UseNewsFilter`	`true`	Enable news-based filtering
`AIAnalysisInterval`	`300`	Seconds between AI calls
`MaxRiskPerTrade`	`2.0%`	Maximum risk per trade
`DynamicPositionSizing`	`true`	AI-adjusted lot sizes
`DynamicStopLoss`	`true`	AI-adjusted stop losses

Circuit Breakers

Parameter	Default	Action
`MaxDailyLoss`	`10.0%`	Close all positions
`MaxDrawdown`	`15.0%`	Emergency stop trading
`AIAdjustedLimits`	`true`	Tighter limits when AI risk > 70%

Risk Management

AI Risk Scoring

Risk Score = Technical (30%) + Volatility (30%) + News (20%) + AI Confidence (20%)

0-30%   → Low Risk     → Full position sizes
30-60%  → Medium Risk  → Reduced position sizes
60-80%  → High Risk    → Minimal trading
80-100% → Extreme      → No new trades

News Protection

30 min before high-impact news → Caution mode activated
Position sizes cut by 50%
Spread limits tightened by 20%
Only high-confidence trades allowed

API Reference (FastAPI Mode)

Trading Endpoints

POST /api/v1/trading/signal      # Get AI trading signal
POST /api/v1/trading/analyze     # Full market analysis
GET  /api/v1/trading/dashboard   # Dashboard data

Risk Management

POST /api/v1/risk/assess            # Risk assessment
POST /api/v1/risk/position-size     # Position sizing
POST /api/v1/risk/dynamic-sl        # Dynamic stop loss
POST /api/v1/risk/circuit-breakers  # Circuit breaker check

News

GET /api/v1/news/{symbol}              # Get forex news
GET /api/v1/news/{symbol}/sentiment    # Sentiment score
GET /api/v1/news/{symbol}/high-impact  # High impact check

Full API docs available at http://localhost:8000/docs (Swagger UI).

Backtesting

The system has been backtested across multiple strategies and timeframes:

Strategy	Timeframe	Period	Key Metrics
Grid Scalper	M5	30-90 days	XAUUSD optimization
Fibonacci Grid	M5	30 days	Fib spacing analysis
FibATR Trend	M5	30 days	ATR-based entries

Research and optimization scripts live in tools/ for running your own experiments.

Disclaimer: Past performance does not guarantee future results. Always test on demo accounts first.

Recommended Settings

Best Pairs

Tier	Pairs
Primary	EURUSD, GBPUSD, USDJPY
Secondary	EURGBP, AUDUSD, USDCAD
Avoid	Exotics (USDTRY, USDZAR), minor pairs off-hours

Best Trading Sessions (by Region)

Session	Time (UTC)	Local Time	Rating	Liquidity
London	07:00-16:00	GMT/BST	Good	High
New York	12:00-21:00	EST/EDT	Good	High
Overlap	12:00-16:00	—	Best	Highest
Tokyo	23:00-08:00	JST	Avoid	Low
Sydney	22:00-07:00	AEST	Avoid	Low

Geographic Trading Recommendations

Regional Session Guide

Region	Timezone	Best Session (UTC)	Recommended Pairs	Strategy
Europe (London)	GMT/BST	07:00-16:00	EURUSD, EURGBP, GBPUSD	Grid + News filter
Americas (New York)	EST/EDT	12:00-21:00	GBPUSD, USDJPY, USDCAD	Trend + AI signals
Asia (Tokyo)	JST	23:00-08:00	USDJPY, EURJPY	Conservative only
Global Overlap	—	12:00-16:00	All majors	Best scalping window

Currency Pair Recommendations by Region

Tier	Pairs	Spreads	Best For
Primary (Global)	EURUSD, GBPUSD, USDJPY	Low	All sessions
European	EURGBP, EURCHF, GBPCHF	Medium	London session
American	USDJPY, USDCAD, USDCHF	Medium	New York session
Avoid	Exotics (USDTRY, USDZAR)	High	Any session

Pro Tip: The London/New York overlap (12:00-16:00 UTC) provides the highest liquidity and tightest spreads for AI-powered grid trading.

Roadmap

V3: Multi-pair portfolio management
V3: Custom indicator integration
V3: Web dashboard for monitoring
V3: Telegram bot notifications
V3: Backtesting module in FastAPI
V3: Machine learning signal filtering

Contributing

Contributions are welcome! Please read CONTRIBUTING.md for guidelines.

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

Documentation

Document	Contents
QUICKSTART.md	Step-by-step install walkthrough
README_FastAPI.md	Backend architecture + full API reference
CHANGELOG.md	Release history
CONTRIBUTING.md	How to contribute
SECURITY.md	Security policy + API key safety
docs/index.html	Landing page
`docs/llms.txt`	LLM/AI-assistant project briefing

Support the Project

If you find this project useful, consider supporting development:

Network	Currency	Address
BSC (BEP20)	USDT	`0xb13d29622961004b54c15452a233a43215331fe2`

You can send any BEP20 token to the address above. Thank you for your support!

License

This project is licensed under the MIT License - see the LICENSE file for details.

Disclaimer

This Expert Advisor and all associated code is for educational and research purposes only. Trading foreign exchange on margin carries a high level of risk and may not be suitable for all investors. Past performance is not indicative of future results. Always trade responsibly and never risk money you cannot afford to lose. The authors are not responsible for any financial losses incurred from using this software.

Name		Name	Last commit message	Last commit date
.github		.github
Backend		Backend
Config		Config
Include		Include
MQ5_FastAPI		MQ5_FastAPI
Scripts		Scripts
docs		docs
legacy		legacy
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
CITATION.cff		CITATION.cff
CODE_OF_CONDUCT.md		CODE_OF_CONDUCT.md
CONTRIBUTING.md		CONTRIBUTING.md
DeepSeekNewsGridScalper_V2.mq5		DeepSeekNewsGridScalper_V2.mq5
LICENSE		LICENSE
QUICKSTART.md		QUICKSTART.md
README.md		README.md
README_FastAPI.md		README_FastAPI.md
SECURITY.md		SECURITY.md

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DAX AI Agent Grid Scalper

AI-Powered MetaTrader 5 Expert Advisor + Python FastAPI Automated Trading System

TL;DR for AI & Quick Evaluation

Why This Project?

Features

AI-Powered Trading Engine

Advanced Grid Trading

Real-Time News Intelligence

Risk Management

Architecture

Standalone vs FastAPI Mode

Project Structure

Quick Start

Standalone Mode (5 minutes)

FastAPI Mode (10 minutes)

EA Variants

Configuration

Risk Profiles

AI Parameters

Circuit Breakers

Risk Management

AI Risk Scoring

News Protection

API Reference (FastAPI Mode)

Trading Endpoints

Risk Management

News

Backtesting

Recommended Settings

Best Pairs

Best Trading Sessions (by Region)

Geographic Trading Recommendations

Regional Session Guide

Currency Pair Recommendations by Region

Roadmap

Contributing

Documentation

Support the Project

License

Disclaimer

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Code of conduct

Contributing

Security policy

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