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Real-Time Crypto Trading Bot with Machine Learning and PCA
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Description: Welcome to our community focused on integrating mathematics, machine learning, and streamlit-based visualization for financial markets! Our project revolves around building a real-time trading bot for cryptocurrency and stock markets, leveraging Principal Component Analysis (PCA), SHAP analysis, and Random Forest classifiers to make data-driven decisions.
What We Offer:
Open-source Python scripts to analyze financial data and predict market trends. Modular tools for data fetching, feature extraction, and backtesting. Educational resources explaining core concepts like logarithmic returns, PCA, and SHAP. A Streamlit-powered interface for live trading signals, portfolio performance tracking, and position management. Why Join Us? Our mission is to empower developers and financial enthusiasts to harness the power of AI and data science for building robust trading strategies. Whether you're a seasoned data scientist or a curious beginner, we welcome you to explore, collaborate, and contribute to this exciting domain.
Key Features of the Project:
Data Processing
Fetch financial data using yfinance. Compute probabilities, scenarios, and adjusted returns for trading decisions. Machine Learning Strategy
Train Random Forest classifiers for predicting buy/sell scenarios. Analyze feature importance using SHAP values for model explainability. Dimensionality Reduction with PCA
Extract meaningful features to optimize trading strategies. Backtesting Framework
Evaluate the strategy with dynamic portfolio value calculations and risk metrics. Get Started:
Visit our Homepage on Publish0x to explore the educational slides and tutorials. Fork our repositories, experiment with the code, and share your insights! Let's Build Together!
Join us in pushing the boundaries of AI-driven trading!