ColliderConquer / Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-MethodView on GitHub
This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. The investment system pipeline has been implemented including data acquirement, data preprocessing, model tuning and selection based on the XGBoost boos…
☆92Jul 1, 2021Updated 5 years ago
Alternatives and similar repositories for Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method
Users that are interested in Stock-Prediction-and-Quantitative-Analysis-Based-on-Machine-Learning-Method are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆11Oct 24, 2025Updated 9 months ago
- Firstly, multiple effective factors are discovered through IC value, IR value, and correlation analysis and back-testing. Then, XGBoost c…☆21Aug 4, 2020Updated 5 years ago
- 多因子选股框架☆27Dec 9, 2020Updated 5 years ago
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆19Dec 17, 2022Updated 3 years ago
- select stock automatically, trade manually☆12Jul 26, 2020Updated 6 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆50Apr 12, 2019Updated 7 years ago
- 量化FOF框架☆13Mar 8, 2019Updated 7 years ago
- 多因子模型相关☆23Jun 16, 2021Updated 5 years ago
- This script loads desired stock price training data, trains an XGBoost Regressor for Time Series Forecasting (allowing fine-tuning) and d…☆13Jul 6, 2022Updated 4 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 …☆17Feb 24, 2019Updated 7 years ago
- ☆14May 16, 2022Updated 4 years ago
- 基于机器学习方法构建多因子选股模型：RandomForest, GBDT, Adaboots, xgboost，MLP, Linear Model, LSTM☆238Apr 9, 2020Updated 6 years ago
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆13May 30, 2021Updated 5 years ago
- Stock risk premium prediction via FM/ EXT/ GBDT/ XGB/LBGM. Mengxuan Chen's graduation thesis at WHU.☆15Dec 15, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆23Feb 14, 2020Updated 6 years ago
- this project is developing to crawl stock A finance and trade data from website, process finance and trade data to get factors, and then …☆17Jan 12, 2023Updated 3 years ago
- Python code for dynamic facctor model. (Preliminary and in progress)☆22Dec 2, 2017Updated 8 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆31Jan 27, 2019Updated 7 years ago
- Machine learning methods for identifing investment factors☆20Nov 9, 2021Updated 4 years ago
- This project uses XGBoost and LSTM to forecast stock market performance.☆20Jan 24, 2021Updated 5 years ago
- Qwen Trading Bot, Qwen Crypto Trader, Qwen AI Trading System, Qwen AI Trader, Qwen Automated Trading, Qwen Arbitrage Bot, Qwen Algorithmi…☆13Nov 6, 2025Updated 8 months ago
- tools for alpha research☆23Dec 20, 2017Updated 8 years ago
- Developed ML/DL based a web application for stock price prediction based on real-time data.☆31Jul 5, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.☆33Jun 8, 2020Updated 6 years ago
- jaqs-fxdayu:股票多因子策略研究和分析框架jaqs拓展包☆125May 8, 2019Updated 7 years ago
- Beginner friendly guide into the world of investing, quant data analysis and algorithmic trading.☆41Aug 5, 2023Updated 2 years ago
- A first look into several time series datasets from quandl (namely top tech companies stock close prices) and an attempt to find patterns…☆16Mar 24, 2018Updated 8 years ago
- Attempt to use XGBoost in stock price prediction☆92Jun 14, 2020Updated 6 years ago
- Code for Undergraduate Dissertation; Exploration of Discrete Time Mean-Variance Hedging strategies 📈☆17Sep 25, 2021Updated 4 years ago
- 基于机器学习的多因子研究框架☆14Jun 22, 2020Updated 6 years ago
- Quool, a quantum financial tool, supporting native file data access, database access, crawler data access, and backtest together with ana…☆14Apr 4, 2026Updated 3 months ago
- Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial …☆79Oct 11, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A first experiment on how to use deep-value investing strategies to find valuable stocks☆13Apr 15, 2022Updated 4 years ago
- 我的多因子模型、量化投资沙盒☆197Jun 20, 2023Updated 3 years ago
- everything quantitative finance related☆25Oct 8, 2020Updated 5 years ago
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆56Jun 22, 2022Updated 4 years ago
- Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct w…☆17Aug 9, 2022Updated 3 years ago
- The quantitative investing strategies called 'TIPP' and 'CPPI'☆11Nov 8, 2020Updated 5 years ago
- The project is about predicting the stock market movement based on the news headlines that published on a particular day. The news data …☆14May 20, 2018Updated 8 years ago