ahmedhamdi96 / ML4T

Related projects ⓘ

Alternatives and complementary repositories for ML4T

• 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
• vsmolyakov / fin
  finance
  ☆43Updated 7 years ago
• BorjaGomezSolorzano / deep-trader
  Deep Reinforcement Learning applied to trading
  ☆15Updated 5 years ago
• lamres / hmm_market_behavior
  Unsupervised Learning to Market Behavior Forecasting Example
  ☆40Updated 4 years ago
• jacobkahn / reinforcement-learning-market-microstructure
  Using Q-learning to better navigate orderbooks.
  ☆21Updated 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…
  ☆12Updated 3 years ago
• coorung / Finance-World
  Optimization techniques on the financial area for the hedging, investment starategies, and risk measures
  ☆41Updated 4 years ago
• FinTechies / HedgingRL
  Hedging portfolios with reinforcement learning.
  ☆34Updated 7 years ago
• jackluo / volatility-surface
  Code for getting implied volatility in Python
  ☆24Updated 7 years ago
• cswaney / prickle
  A Python toolkit for high-frequency trade research.
  ☆39Updated 6 years ago
• suraj-maniyar / Stock-Trading-Using-Machine-Learning
  A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.
  ☆21Updated 6 years ago
• QGoGithub / Python_ds_Research
  Python based Quant Finance Models, Tools and Algorithmic Decision Making
  ☆44Updated 6 years ago
• BananaHamm / Equity_StatArb
  Implementation for "Statistical arbitrage in the US equities market" by Marco Avellaneda and Jeong-hyun Lee
  ☆18Updated 5 years ago
• dksifoua / Stock-Market-Prediction
  Stock Market Prediction on High-Frequency Data Using soft computing based AI models
  ☆16Updated 2 months ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆53Updated 6 years ago
• awilliea / Risk-based_RL_for_Optimal_Trading_Execution
  ☆20Updated 4 years ago
• druce / ValueMomentum
  Value and Momentum Using Machine Learning
  ☆11Updated 3 years ago
• ailzy / RISKIM
  Assets' Risk Management Using Mean-Variance Opt Based On Mult-Factors Trending Prediction
  ☆30Updated 7 years ago
• Boburmirzo / genetic-Meyer-Packard-Algorithm
  Predicting a Stock Price Using a Genetic Algorithm
  ☆15Updated 6 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.
  ☆35Updated last year
• ivan-vasilev / atpy
  Event-driven Algorithmic Trading For Python
  ☆25Updated 5 years ago
• wolfws / sandbox-portfolio-optimization-cvxpy
  CVXPY Portfolio Optimization Sample
  ☆43Updated 7 years ago
• Harkishan-99 / Alternative-Bars
  Generate various Alternative Bars both historically and at real-time.
  ☆34Updated 2 years ago
• seaweiqing / deep_trading
  This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generate…
  ☆20Updated 5 years ago
• halessi / rl_trading
  ☆16Updated 2 years ago
• Bravea / Armstrong
  ☆34Updated 6 years ago
• Vineet-Mehta / ML_HFT
  Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms
  ☆24Updated 6 years ago
• bakalex / autohedger
  Paper: https://arxiv.org/pdf/2008.12275.pdf
  ☆26Updated 4 years ago
• steve7an / PortfolioU
  Fuzzy Moving Average System with Genetic Algorithm Optimisation for Trading Crude Palm Oil Futures
  ☆25Updated 6 years ago
• philipperemy / stock-volatility-google-trends
  Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
  ☆91Updated 2 years ago