Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Updated
Aug 18, 2024 - Jupyter Notebook
Code for Machine Learning for Algorithmic Trading, 2nd edition.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
A program for financial portfolio management, analysis and optimisation.
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
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Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
detecting regime of financial market
This project tries to replicate hedge funds returns.
Cryptocurrency Simulator: Invest fake money and play your strategies without risking real money
quantitative asset allocation strategy
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
The Meme Hunter Bot is a unique artificial intelligence-supported tool designed specifically to identify the safest meme tokens and invest in them. This distinctive bot automatically detects the most profitable and promising tokens, offering you the opportunity to achieve significant gains.
Long-Term Investment in the Beverage Industry
Back Testing strategies fast in Python
Backtesting Yield Estimator for Index&Stock Options. A tool for testing long-term option-based trading/investment strategies.
Trend trading model in the financial market using machine learning algorithms. The machine learning algorithm predicts the result of the transaction of the base trading model and predicts the price of the next timeframe.
Multi-factor Risk Models of Asset or Portfolio Returns
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