🧠 AI-Powered RPA Trading Bot

Overview

This project combines supervised and self-supervised learning with RPA and broker automation to build an AI trading strategy.

Features

• 📈 LSTM-based supervised learning
• 🔍 Contrastive predictive coding for self-supervised learning
• 🤖 Alpaca integration for automated trading
• 📊 Technical indicators and feature engineering
• ⚙️ RPA scheduler for real-time trade execution
• 🔬 Backtesting and hyperparameter tuning

Setup

git clone https://github.com/yourusername/rpa-ml-trading-bot.git
cd rpa-ml-trading-bot
pip install -r requirements.txt

Usage

• Use fetch_data.py to load market data.
• Train models via train_model.py.
• Run schedule_jobs.py to automate trading.
• Serve models with model_api.py.

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