Quant finance Portal based on project BearAlpha. This project contains strategy back test framework with backtrader, database construct with BearAlpha, factor analyze based on BearAlpha, and financial researches on paper or report with research
☆17Aug 9, 2022Updated 4 years ago
Alternatives and similar repositories for BearAlpha
Users that are interested in BearAlpha are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Quool, a quantum financial tool, supporting native file data access, database access, crawler data access, and backtest together with ana…☆14Apr 4, 2026Updated 6 months ago
- pond is an open-source integrated finance data source and database application on top of DuckDB and akshare.☆10Sep 27, 2026Updated last month
- ☆15Jul 9, 2018Updated 8 years ago
- Python-based trading framework designed for high-performance backtesting, hyperparameter optimization, and live trading.☆12May 29, 2023Updated 3 years ago
- 基于论文《Do Industries Explain Momentum》对行业动量策略在A股市场的有效性进行探究☆12Jul 19, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Docker image build for backtrader running on Jupyter Notebook / Anaconda 3 / Python 3☆13Oct 22, 2020Updated 6 years ago
- Based on paper Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning☆13Dec 24, 2022Updated 3 years ago
- 量化FOF框架☆13Mar 8, 2019Updated 7 years ago
- 一些研报的复现☆14Sep 11, 2018Updated 8 years ago
- The Adaptive Multi-Factor (AMF) asset pricing model with the Groupwise Interpretable Basis Selection (GIBS) algorithm.☆10Dec 12, 2021Updated 4 years ago
- ☆14May 16, 2022Updated 4 years ago
- Vectorized quantile backtesting library☆15May 25, 2023Updated 3 years ago
- ☆11Dec 8, 2022Updated 3 years ago
- Backtrader量化策略研报复现☆34Feb 23, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Channel break out strategy for High Frequency Trading.☆15Jun 26, 2018Updated 8 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
- Use graph-based analysis to re-classify stocks and to improve Markowitz portfolio optimization☆20Mar 8, 2022Updated 4 years ago
- 行业轮动(股票)，基于沪深300的行业指数的行业轮动策略☆21Jan 31, 2018Updated 8 years ago
- Shadowrocket.ipa 下载文件☆12Sep 27, 2019Updated 7 years ago
- 基金组合研究: 利用python，抓取天天基金网、晨星网数据，分析组合持仓、行业分布、基金参数特征，辅助基金组合投资策略制定☆59Dec 3, 2020Updated 5 years ago
- Some Quant ideas in Backtrader☆12Jan 12, 2022Updated 4 years ago
- tools for alpha research☆23Dec 20, 2017Updated 8 years ago
- event-driven trading and backtesting engine☆20Nov 25, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- jaqs-fxdayu:股票多因子策略研究和分析框架jaqs拓展包☆124May 8, 2019Updated 7 years ago
- Mock pairs trading strategy and backtesting with Kalman iltering and pair selection using clustering and cointegration.☆15Aug 28, 2022Updated 4 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 years ago
- An Automated Trading System for managing and executing multiple trading strategies via Interactive Brokers.☆19Oct 14, 2024Updated 2 years ago
- My first high-frequency trading strategy using machine learning☆20Sep 16, 2022Updated 4 years ago
- AutoQuant is an out-of-the-box quantitative investment platform.☆22Aug 1, 2023Updated 3 years ago
- ☆10Mar 28, 2022Updated 4 years ago
- 基于机器学习的多因子研究框架☆14Jun 22, 2020Updated 6 years ago
- A first experiment on how to use deep-value investing strategies to find valuable stocks☆13Apr 15, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Backtest Framework designed by YuminQuant&Yumin.☆26Aug 18, 2024Updated 2 years ago
- 多因子选股框架☆27Dec 9, 2020Updated 5 years ago
- risk_model☆27Jun 25, 2022Updated 4 years ago
- Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021☆20Jul 11, 2021Updated 5 years ago
- Documents of WonderTrader☆24Nov 7, 2023Updated 2 years ago
- Topic analysis using RSM or PVDM.☆11Sep 29, 2014Updated 12 years ago
- Codes for the paper Stock Trading Volume Prediction with Dual-Process Meta-Learning accepted by ECML PKDD 2022☆34Jun 28, 2022Updated 4 years ago