Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Updated
Jun 21, 2023 - 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.
我的多因子模型、量化投资沙盒
次元期权应征面试题范例。
Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.
detecting regime of financial market
Cryptocurrency Simulator: Invest fake money and play your strategies without risking real money
This project tries to replicate hedge funds returns.
quantitative asset allocation strategy
Long-Term Investment in the Beverage Industry
A 3 part series of Jupyter notebooks to help one find alpha in the stock market with AI
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.
Terminal investment strategy analysis, parametrically driven by changing demand scenarios.
At AltAPI, our mission is to provide different varieties of alternative data for investment and business analysis as well beyond. Feel free to fork the repository and add features!
Multi-factor Risk Models of Asset or Portfolio Returns
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