Alternatives and similar repositories for PPO_stock

Users that are interested in PPO_stock are comparing it to the libraries listed below

• dkl0707 / factor_backtest
  因子回测框架
  ☆115Updated last year
• ACEACEjasonhuang / gplearnplus
  升级后的gplearn， 支持包含时序和截面参数的自定义函数，例如均线
  ☆60Updated last year
• sqc-cser / HTSC_Stock_RL
  复现华泰证券《强化学习初探与DQN择时》研报中的DQN模型与效果
  ☆34Updated 2 years ago
• quant2008 / alphas
  alpha101, alpha191, alphalens, backtrader, 量化研究
  ☆40Updated 2 years ago
• jeremy-feng / AlphaNet
  Stock factor mining with CNN and GRU.
  ☆60Updated 2 years ago
• xueyongtu / ML-AC
  ☆28Updated last year
• rosie068 / BARRA_risk
  A risk evaluation program that follows BARRA's CNE6 and USE4 risk model to predict the risk and distribution of factors in a portfolio. C…
  ☆65Updated 4 years ago
• Tingqin-D / basic_codes_for_quant
  ☆59Updated last year
• DulyHao / AlphaForge
  Official implementation for AAAI2025: AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
  ☆225Updated 9 months ago
• wjsbjl / use-gplearn-to-generate-CTA-factor
  本文通过gplearn模型，结合遗传算法中的遗传规划方法生成因子。这里因子生成基于simple-backtest中的简单回测系统，主要针对股指期货操作。
  ☆125Updated last year
• x35f / alpha2
  pseudocode and algorithms for the paper "Alpha$^2$: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning"
  ☆151Updated 11 months ago
• RichardS0268 / CNN-for-Trading
  Reimplementation of Paper: (Re-)Imag(in)ing Price Trends
  ☆60Updated 10 months ago
• QuantNi / Quant-Report
  ☆161Updated last year
• UePG-21 / gpquant
  Mining technical factors based on symbolic regression via genetic algorithm
  ☆183Updated 2 years ago
• ryanluoli1 / AlphaNet
  An end-to-end stock factors mining neural network framework.
  ☆39Updated 2 years ago
• lc-sysbs / alpha101
  基于万矿平台，对alpha101因子进行测试并构造多因子策略
  ☆92Updated 5 years ago
• lc-sysbs / alpha101-new
  基于华泰研报对原alpha101代码进行简化和拓展
  ☆45Updated 5 years ago
• jeremy-feng / high-frequency-factors
  High frequency factors based on order and trade data.
  ☆51Updated last year
• FinHackCN / xlib
  一个简单的量化研究框架，具备基本的数据获取、因子分析、机器学习、回测及结果分析功能
  ☆46Updated 3 years ago
• AaronKFC / iRDPG-for-Quantitative-Trading-on-Stock-Index-Futures
  ☆17Updated 3 years ago
• QuantWorld2022 / qlib_tutorial
  ☆178Updated last year
• Quant132 / BackTrader_Multifactors
  BackTrader多因子回测框架 （Multi-factors backtesting framework for BackTrader）
  ☆117Updated 3 years ago
• AutoAlpha2022 / AutoAlpha
  通过遗传算法、强化学习来自动选择高频因子
  ☆23Updated 2 years ago
• Congyuwang / AlphaNetV3
  Recurrent Neural Network for predicting Stock Returns
  ☆120Updated 3 years ago
• szy1900 / Event_driven_framework_for_backtesting
  It is suitable for beginners
  ☆47Updated 4 years ago
• fangshi1991 / gplearn_stock
  改进gplearn,主要使用在股票公式挖掘
  ☆95Updated 5 years ago
• Jensenberg / multi-factor
  因子构建、单因子测试
  ☆71Updated 4 years ago
• ShiliangZhang-nku / HS300_index_enhance
  沪深300指数增强模型
  ☆82Updated 5 years ago
• ZhuZhouFan / TWMA
  ☆13Updated 7 months ago
• AlfredCYL / gplearn_cross_factor
  Enhance the gplearn package to support precise three-dimensional structured dimension genetic programming (GP), with a particular focus …
  ☆33Updated 10 months ago