sunnyswag / StockRLLinks
在A股(股票)市场上训练强化学习交易智能体
☆288Updated last year
Alternatives and similar repositories for StockRL
Users that are interested in StockRL are comparing it to the libraries listed below
Sorting:
- 强化学习炒股,走向人生巅峰(或倾家荡产)☆54Updated 3 years ago
- PyTorch implementation for Paper "StockFormer: Learning Hybrid Trading Machines with Predictive Coding".☆308Updated last year
- alpha101, alpha191, alphalens, backtrader, 量化研究☆319Updated 2 years ago
- 筹码分布python计算源码☆235Updated 4 years ago
- Scripts and doc for https://www.dolthub.com/repositories/chenditc/investment_data☆508Updated this week
- 量化投资☆225Updated 6 years ago
- ☆178Updated last year
- 量化机器学习/深度学习模型(Model Zoo);Alpha 因子(Factor Zoo); 量化资源以及相关论文代码☆31Updated 2 months ago
- AI量化实验室,专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。☆813Updated last year
- 基于MySql、baoStock、tushare、Akshare、efinance、easyQuation、talib、通达信、天天基金、筹码计算、选股、邮件提醒实现的选股机器人。☆196Updated 3 years ago
- ☆613Updated last year
- ☆522Updated 3 years ago
- 《miniQMT实盘量化》系列教程的代码仓库☆126Updated 10 months ago
- A股决策Pipeline☆33Updated 3 years ago
- Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors☆225Updated 9 months ago
- 多因子指数增强策略/多因子全流程实现☆321Updated last year
- 基于掘金+万得+聚宽的多因子策略开发框架☆216Updated 2 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☆207Updated 5 years ago
- 迅投QMT接口☆303Updated 2 years ago
- FinHack®,一个易于拓展的量化金融框架,它在当前版本中集成了数据采集、因 子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。☆719Updated 2 weeks ago
- 中国版技术指标☆170Updated last year
- Backtrader QMT Store☆119Updated 5 months ago
- 基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks☆269Updated last year
- 基于akshare和backtrader的回测。☆79Updated 3 years ago
- 本项目为 深度学习在多因子量化选股中的一种实践☆102Updated 6 years ago
- 我的量化交易学习实践代码☆251Updated 4 years ago
- 使用python进行股票分析和选股☆417Updated 7 months ago
- 聚宽单因子分析工具☆550Updated 4 months ago
- Quant Examples Based on Backtrader.☆803Updated last year
- 本仓库为公众号FinHack炼金术《从零开始卷量化》系列文章示例代码,带你零基础入门量化交易!☆133Updated 3 years ago