Alternatives and similar repositories for ML4T:

Users that are interested in ML4T are comparing it to the libraries listed below

• ivan-vasilev / atpy
  Event-driven Algorithmic Trading For Python
  ☆25Updated 5 years ago
• jacobkahn / reinforcement-learning-market-microstructure
  Using Q-learning to better navigate orderbooks.
  ☆21Updated 6 years ago
• suraj-maniyar / Stock-Trading-Using-Machine-Learning
  A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.
  ☆22Updated 6 years ago
• vsmolyakov / fin
  finance
  ☆43Updated 7 years ago
• FinTechies / HedgingRL
  Hedging portfolios with reinforcement learning.
  ☆35Updated 7 years ago
• bukosabino / financial-forecasting-challenge-gresearch
  My approaches to Financial Forecasting Challenge by G-Research
  ☆43Updated 6 years ago
• wolfws / sandbox-portfolio-optimization-cvxpy
  CVXPY Portfolio Optimization Sample
  ☆45Updated 8 years ago
• BorjaGomezSolorzano / deep-trader
  Deep Reinforcement Learning applied to trading
  ☆15Updated 6 years ago
• jo-cho / meta_labeling_simplified
  Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…
  ☆13Updated 3 years ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆54Updated 6 years ago
• ailzy / RISKIM
  Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction
  ☆30Updated 8 years ago
• PortfolioEffect / PE-HFT-Python
  Python library for high frequency portfolio analysis, intraday backtesting and optimization
  ☆66Updated 7 years ago
• elayden / Deep-Learning-Framework-for-Financial-Time-Series-Prediction-in-Python-Keras
  Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…
  ☆11Updated 4 years ago
• StateOfTheArt-quant / sharpe
  sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…
  ☆49Updated 3 years ago
• rosdyana / CNN-Financial-Data
  Deep Trading using Convolutional Neural Network
  ☆27Updated 7 years ago
• BryceMeng / mlfinlab_research_bryce
  ☆22Updated 4 years ago
• awilliea / Risk-based_RL_for_Optimal_Trading_Execution
  ☆19Updated 4 years ago
• 0zean / MODWT-MARS
  Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting
  ☆18Updated 6 months ago
• tanvipotdar / LOBMidPricePrediction
  Create a mid-price classifier for limit order books using a CNN and LSTM
  ☆14Updated 4 years ago
• lamres / hmm_market_behavior
  Unsupervised Learning to Market Behavior Forecasting Example
  ☆41Updated 4 years ago
• doda / fincl
  Advancing in Financial Machine Learning
  ☆16Updated 5 years ago
• zbanga / FXCM_currency
  Using Machine Learning for live currency trading
  ☆37Updated 6 years ago
• bakalex / autohedger
  Paper: https://arxiv.org/pdf/2008.12275.pdf
  ☆26Updated 4 years ago
• Hongtao-Lin / HFT-Prediction
  Machine learning approach to high frequency trading, MLP & RNN used
  ☆22Updated 8 years ago
• coorung / Finance-World
  Optimization techniques on the financial area for the hedging, investment starategies, and risk measures
  ☆41Updated 4 years ago
• halessi / rl_trading
  ☆16Updated 3 years ago
• KhaledSharif / quantopian-ensemble-methods
  Assisting repository for the published paper investigating ensemble methods in algorithmic trading.
  ☆43Updated 7 years ago
• dksifoua / Stock-Market-Prediction
  Stock Market Prediction on High-Frequency Data Using soft computing based AI models
  ☆20Updated 6 months ago
• QGoGithub / Python_ds_Research
  Python based Quant Finance Models, Tools and Algorithmic Decision Making
  ☆46Updated 7 years ago
• bukosabino / wrapper-backtrader
  Some trading strategies implemented using Backtrader
  ☆29Updated 6 years ago