Alternatives and similar repositories for ML4T

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

• suraj-maniyar / Stock-Trading-Using-Machine-Learning
  A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.
  ☆22Updated 7 years ago
• FinTechies / HedgingRL
  Hedging portfolios with reinforcement learning.
  ☆35Updated 8 years ago
• jacobkahn / reinforcement-learning-market-microstructure
  Using Q-learning to better navigate orderbooks.
  ☆22Updated 7 years ago
• vsmolyakov / fin
  finance
  ☆43Updated 8 years ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆54Updated 7 years ago
• cswaney / prickle
  A Python toolkit for high-frequency trade research.
  ☆42Updated 7 years ago
• BorjaGomezSolorzano / deep-trader
  Deep Reinforcement Learning applied to trading
  ☆15Updated 6 years ago
• AI4Finance-Foundation / Dynamic-Stock-Recommendation-Machine_Learning-Published-Paper-IEEE
  ☆19Updated 5 years ago
• wolfws / keras-tensorflow-financial-time-series-signal-forecast
  Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
  ☆47Updated 8 years ago
• bukosabino / financial-forecasting-challenge-gresearch
  My approaches to Financial Forecasting Challenge by G-Research
  ☆44Updated 6 years ago
• lamres / hmm_market_behavior
  Unsupervised Learning to Market Behavior Forecasting Example
  ☆42Updated 5 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 5 years ago
• 0zean / MODWT-MARS
  Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting
  ☆18Updated 11 months ago
• max-fitzpatrick / Machine_learning_trading_algorithm
  Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate …
  ☆26Updated 7 years ago
• philipperemy / stock-volatility-google-trends
  Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
  ☆94Updated 3 years ago
• ivan-vasilev / atpy
  Event-driven Algorithmic Trading For Python
  ☆25Updated 6 years ago
• halessi / rl_trading
  ☆16Updated 3 years ago
• Boburmirzo / genetic-Meyer-Packard-Algorithm
  Predicting a Stock Price Using a Genetic Algorithm
  ☆16Updated 7 years ago
• QGoGithub / Python_ds_Research
  Python based Quant Finance Models, Tools and Algorithmic Decision Making
  ☆46Updated 7 years ago
• steve7an / PortfolioU
  Fuzzy Moving Average System with Genetic Algorithm Optimisation for Trading Crude Palm Oil Futures
  ☆26Updated 6 years ago
• StateOfTheArt-quant / sharpe
  sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…
  ☆50Updated 3 years ago
• rspadim / Adv_Fin_ML
  Advances in Financial Machine Learning by Marcos Lopez De Prado
  ☆54Updated 6 years ago
• tiagomonteirocardoso / Deep-Reinforcement-Learning-in-MultiDimensional-Pairs-Trading
  A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed
  ☆21Updated 6 years ago
• enjine-com / mcos
  Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"
  ☆58Updated 2 years ago
• bakalex / autohedger
  Paper: https://arxiv.org/pdf/2008.12275.pdf
  ☆26Updated 5 years ago
• coorung / Finance-World
  Optimization techniques on the financial area for the hedging, investment starategies, and risk measures
  ☆42Updated 5 years ago
• 10mohi6 / stock-pairs-trading-python
  stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.
  ☆38Updated last year
• alexanu / Python_Trading_Snippets
  Collections of snippets for trading I find interesting
  ☆27Updated 7 months ago
• freddiev4 / financial-ts-prediction-with-deeplearning
  (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"
  ☆16Updated 7 years ago
• kennedyCzar / ALGORITHM-TRADING-AND-STOCK-PREDICTION-USING-MACHINE-LEARNING
  ALGORITHM TRADING AND STOCK PREDICTION USING MACHINE LEARNING
  ☆15Updated 6 years ago