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.
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈
A program for financial portfolio management, analysis and optimisation.
Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.
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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
Long-Term Investment in the Beverage Industry
Artificial Neural Network - Corporate Investment Grade Bond Rating
Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming 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.
A group project for CMPE285 at SJSU in Python
Data Analysis And Simulation Of Asset Allocation Strategies For Investing Using Python.
quantitative asset allocation strategy
Research of Forex Trading
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