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template project structure for your RPA-based trading strategy using machine learning, deep learning (TensorFlow + Keras), and automation tools.

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Name		Name	Last commit message	Last commit date
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Bot_Model		Bot_Model
README.md		README.md
requirements.txt		requirements.txt

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🧠 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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template project structure for your RPA-based trading strategy using machine learning, deep learning (TensorFlow + Keras), and automation tools.

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