Alternatives and similar repositories for stock2vec

Users that are interested in stock2vec are comparing it to the libraries listed below

• ml-hongkong / stock2vec
  Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
  ☆38Updated 8 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
• euclidjda / deep-quant
  Deep learning for forecasting company fundamental data
  ☆141Updated 6 years ago
• RJT1990 / Active-Portfolio-Management-Notes
  Notes for Active Portfolio Management, by Grinold and Kahn
  ☆47Updated 9 years ago
• xingyousong / Deep-Learning-Financial-News-Stock-Movement-Prediction
  Deep Time Series Code (Stock Sentiment Prediction)
  ☆83Updated 7 years ago
• wolfws / keras-tensorflow-financial-time-series-signal-forecast
  Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
  ☆48Updated 8 years ago
• StateOfTheArt-quant / sharpe
  sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…
  ☆51Updated 4 years ago
• Yifeng-He / Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
  This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
  ☆101Updated 5 years ago
• jenniyanjie / successful-algorithmic-trading
  the book with script
  ☆80Updated 8 years ago
• mlpanda / DeepLearning_Financial
  Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory
  ☆93Updated 3 years ago
• tcloaa / Deep-Portfolio-Theory
  Autoencoder framework for portfolio selection (paper published by J. B. Heaton, N. G. Polson, J. H. Witte.)
  ☆134Updated 5 years ago
• druce / Machine-learning-for-financial-market-prediction
  Machine Learning for Financial Market Prediction
  ☆59Updated 7 years ago
• 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
• SamuelePolimi / TreasureBot
  A bot for financial signal
  ☆62Updated 8 years ago
• jacobkahn / reinforcement-learning-market-microstructure
  Using Q-learning to better navigate orderbooks.
  ☆23Updated 7 years ago
• enjine-com / mcos
  Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"
  ☆57Updated 2 years ago
• WenchenLi / q-learning-trader
  tabular q learning for trading
  ☆12Updated 7 years ago
• bukosabino / financial-forecasting-challenge-gresearch
  My approaches to Financial Forecasting Challenge by G-Research
  ☆44Updated 7 years ago
• omerbsezer / SparkDeepMlpGADow30
  A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parame…
  ☆69Updated 7 years ago
• cw-jang / adv_finance
  Implementation of AFML Book
  ☆22Updated 6 years ago
• manganganath / stock_price_trend_fft
  Stock price trend analysis using Fourier transform
  ☆45Updated 7 years ago
• FinTechies / HedgingRL
  Hedging portfolios with reinforcement learning.
  ☆36Updated 8 years ago
• rkohli3 / TSMOM
  Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.
  ☆71Updated 7 months ago
• pnecchi / Thesis
  Reinforcement Learning for Automated Trading
  ☆90Updated 9 years ago
• darden1 / tradingrrl
  Implementations of FX trading with RRL
  ☆64Updated 7 years ago
• jwallbridge / translob
  Transformers for limit order books
  ☆120Updated 5 years ago
• BlackArbsCEO / mixture_model_trading_public
  ☆195Updated 5 years ago
• kykosic / WaveNet-BTC
  WaveNet model applied to intra-day Bitcoin exchange forcasting
  ☆55Updated 7 years ago
• KhaledSharif / quantopian-ensemble-methods
  Assisting repository for the published paper investigating ensemble methods in algorithmic trading.
  ☆44Updated 7 years ago
• cswaney / prickle
  A Python toolkit for high-frequency trade research.
  ☆42Updated 7 years ago