evelynpurse / CTA_summaryLinks
Testing trading signals of commodity futures
☆17Updated 5 years ago
Alternatives and similar repositories for CTA_summary
Users that are interested in CTA_summary are comparing it to the libraries listed below
Sorting:
- ☆19Updated 8 years ago
- Quantitative Finance & Algorithmic Trading in Python course of Udemy☆11Updated 7 years ago
- 基于机器学 习的多因子研究框架☆14Updated 5 years ago
- Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct w…☆17Updated 2 years ago
- Here I go through the processing of prototyping a mean reversion trading strategy using statistical concepts, then test it in backtrader.☆59Updated 2 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆12Updated 2 years ago
- A 50ETF Option Volatility Arbitrage Strategy Based on SABR Model☆24Updated 2 years ago
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆37Updated 4 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆65Updated 2 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆12Updated 4 years ago
- select stock automatically, trade manually☆12Updated 4 years ago
- Backtest result archive for Momentum Trading Strategies☆60Updated 6 years ago
- This trading strategy deploy the copula model to define the divergence of two correlated asset. The backtesting system is built on backtr…☆22Updated 3 years ago
- A multi-factor stock selection model based on random forest with an average annualized yield of 33.74% from March 2014 to June 2017 when …☆16Updated 6 years ago
- ☆14Updated 2 years ago
- factor return calculation, mean-variance / Black&Litterman portfolio optimization, risk decomposition☆30Updated 6 years ago
- Trend Prediction for High Frequency Trading☆42Updated 2 years ago
- ☆15Updated 7 years ago
- FactorLab is a python library that enables the discovery and analysis of alpha and risk factors used in the investment algorithm developm…☆3Updated this week
- Using Python and Tushare financial database☆28Updated last year
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆29Updated 6 years ago
- Some Quant ideas in Backtrader☆12Updated 3 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆34Updated 6 years ago
- Hull-White 1/2 Factor Dynamics☆14Updated 2 years ago
- Learn how to research fundamental factors using Pipeline, Alphalens, and Sharadar price and fundamental data.☆14Updated last year
- Multi Task Learning Time Series Momentum☆22Updated last year
- ☆24Updated 5 years ago
- AI based alpha research for trading☆49Updated 3 years ago
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- Pairs trading strategy that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for …☆35Updated last year