Forex-Algo

Automated trading and analysis framework for Forex markets, featuring data collection, technical analysis, backtesting, and live trading capabilities.

Features

• Automated Trading Bot: Modular bot for executing trades based on technical strategies.
• OANDA API Integration: Fetches real-time and historical data.
• Technical Analysis: Moving averages, MACD, RSI, and more.
• Backtesting & Simulation: Test strategies on historical data.
• Data Management: Efficient storage and retrieval of market data.
• Logging & Monitoring: Detailed logs for trades and errors.
• Jupyter Notebooks: Exploration and visualization tools for research and prototyping.

Project Structure

api/                # OANDA API integration
bot/                # Trading bot logic and managers
constants/          # Definitions and constants
data/               # Market data (pkl, json, etc.)
exploration/        # Jupyter notebooks for research
infrastructure/     # Data collection, logging, and utilities
logs/               # Log files
models/             # ML models or data models (if any)
simulation/         # Backtesting and simulation scripts
stream_example/     # Streaming data examples
technicals/         # Technical indicator implementations
main.py             # Main entry point
run_bot.py          # Script to run the trading bot
api_tests.py        # API test scripts
README.md           # Project documentation

Getting Started

Prerequisites

• Python 3.8+
• pip

Installation

1. Clone the repository:

   git clone https://github.com/SpaciousFish/Forex-Algo.git

2. Install dependencies:

   pip install -r requirements.txt

   (If requirements.txt is missing, install packages as needed for pandas, numpy, requests, etc.)

Configuration

• Update constants/defs.py with your OANDA API credentials and trading preferences.

Running the Bot

Running Tests

python api_tests.py

Data Collection

Collect new data using:

python infrastructure/collect_data.py

Notebooks

Explore and analyze strategies in the exploration/ folder using Jupyter:

jupyter notebook exploration/

Logging

• Logs are stored in the logs/ directory for debugging and monitoring.

License

MIT