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
• euclidjda / deep-quant
  Deep learning for forecasting company fundamental data
  ☆141Updated 6 years ago
• xingyousong / Deep-Learning-Financial-News-Stock-Movement-Prediction
  Deep Time Series Code (Stock Sentiment Prediction)
  ☆83Updated 7 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
• philipperemy / stock-volatility-google-trends
  Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf
  ☆95Updated 3 years ago
• wolfws / keras-tensorflow-financial-time-series-signal-forecast
  Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
  ☆47Updated 9 years ago
• druce / Machine-learning-for-financial-market-prediction
  Machine Learning for Financial Market Prediction
  ☆59Updated 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
• RJT1990 / Active-Portfolio-Management-Notes
  Notes for Active Portfolio Management, by Grinold and Kahn
  ☆47Updated 9 years ago
• pnecchi / Thesis
  Reinforcement Learning for Automated Trading
  ☆90Updated 9 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.
  ☆102Updated 5 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
• bukosabino / financial-forecasting-challenge-gresearch
  My approaches to Financial Forecasting Challenge by G-Research
  ☆45Updated 7 years ago
• WenchenLi / q-learning-trader
  tabular q learning for trading
  ☆12Updated 7 years ago
• SamuelePolimi / TreasureBot
  A bot for financial signal
  ☆62Updated 8 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
• FernandoDeMeer / Mitigating-Overfitting-Experiment
  Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"
  ☆37Updated 2 years ago
• yuriak / DLQuant
  Applying Deep Learning and NLP in Quantitative Trading
  ☆111Updated 7 years ago
• BlackArbsCEO / mixture_model_trading_public
  ☆195Updated 5 years ago
• EmielStoelinga / CCMLWI
  Predicting the stock market with sentiment analysis and LSTM techniques
  ☆83Updated 5 years ago
• jimgoo / zipline-tensorboard
  TensorBoard as a Zipline dashboard
  ☆107Updated 3 years ago
• ShreyamsJain / Stock-Price-Prediction-Model
  Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…
  ☆48Updated 8 years ago
• manganganath / stock_price_trend_fft
  Stock price trend analysis using Fourier transform
  ☆45Updated 7 years ago
• jacobkahn / reinforcement-learning-market-microstructure
  Using Q-learning to better navigate orderbooks.
  ☆23Updated 7 years ago
• gyanesh-m / Event-embedding-stock-prediction
  Model news data in short, medium and long term for stock price trend prediction
  ☆20Updated 7 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
• jwallbridge / translob
  Transformers for limit order books
  ☆121Updated 5 years ago
• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆53Updated 7 years ago
• doncat99 / StockRecommendSystem
  An intelligent recommender system for stock analyzing, predicting and trading
  ☆141Updated 4 years ago
• kykosic / WaveNet-BTC
  WaveNet model applied to intra-day Bitcoin exchange forcasting
  ☆55Updated 7 years ago