Alternatives and similar repositories for Bayesian-Regression-and-Bitcoin

Users that are interested in Bayesian-Regression-and-Bitcoin are comparing it to the libraries listed below

• nmharmon8 / StockMarketGAN
  Stock Market Prediction Using Unsupervised Features
  ☆54Updated 6 years ago
• Vineet-Mehta / ML_HFT
  Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms
  ☆26Updated 7 years ago
• Hongtao-Lin / HFT-Prediction
  Machine learning approach to high frequency trading, MLP & RNN used
  ☆22Updated 9 years ago
• JVfisher / gammascalping
  实行gamma scalping策略时的期权组合选择工具
  ☆16Updated 6 years ago
• dksifoua / Stock-Market-Prediction
  Stock Market Prediction on High-Frequency Data Using soft computing based AI models
  ☆20Updated 11 months ago
• youki-cao / Recurrent-Reinforcement-Learning-in-Bitcoin-Trading
  Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning
  ☆29Updated 6 years ago
• rune-l / HighFrequency
  High Frequency Jump Prediction Project
  ☆37Updated 5 years ago
• Git053 / Limit-Orderbook
  Limit Order Book for high-frequency trading (HFT) strategies using data science approaches
  ☆23Updated 3 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
• tqa236 / LSTM_algo_trading
  Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"
  ☆19Updated 5 years ago
• awilliea / Risk-based_RL_for_Optimal_Trading_Execution
  ☆19Updated 4 years ago
• ZQPlantSoftware / quantiative-trading
  🏦 Collect quant trade strategy and deep learning trading implementation
  ☆13Updated 7 years ago
• haosongQuant / OrderBook-Tick-Data-Trading
  verify OrderBook Tick Data Trading Strategy on futures.
  ☆16Updated 6 years ago
• lamres / hmm_market_behavior
  Unsupervised Learning to Market Behavior Forecasting Example
  ☆42Updated 5 years ago
• umeshpalai / AlgorithmicTrading-MachineLearning
  Deep Learning - Neural network (RNN, LSTM & GRU)
  ☆65Updated 6 years ago
• Jackmzw / Price_Prediction_LOB
  Deep learning for price movement prediction using high frequency limit order data
  ☆40Updated 6 years ago
• fzn0728 / svm
  SVM for stock/index prediction
  ☆14Updated 8 years ago
• Boburmirzo / genetic-Meyer-Packard-Algorithm
  Predicting a Stock Price Using a Genetic Algorithm
  ☆16Updated 7 years ago
• istaaaa / ChannelBreakOutHFT
  Channel break out strategy for High Frequency Trading.
  ☆14Updated 7 years ago
• z357412526 / HighFreqTransaction
  In the high-frequency era of trading, orders of stocks can be executed under a millsecond. The information about the thousands of orders …
  ☆10Updated 9 years ago
• sculd / algorithmic_intraday_trading
  ☆11Updated 4 years ago
• yc3566 / Optimal-Trade-Execution-Algorithm-Market-Impact-Model
  2 algorithms of optimal trade execution: 1) Dynamic Programming 2) Frank-Wolfe Algorithm (Python & C++)
  ☆17Updated 5 years ago
• zhoutf / finance_gan
  Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
  ☆17Updated 6 years ago
• ChaosQuant / stockindex500
  Trend Prediction for High Frequency Trading
  ☆42Updated 2 years ago
• riyersk / HFTrading
  Building a High Frequency Trading Engine with Neural Networks
  ☆12Updated 7 years ago
• SahuH / Stock-prediction-XGBoost
  Stock Prediction with XGBoost: A Technical Indicators' approach
  ☆30Updated 6 years ago
• AntoBr96 / CNN-LSTM_Limit_Order_Book
  This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …
  ☆34Updated 4 years ago
• NoOneUST / Stock-Price-Prediction-LSTM-and-Trading-Strategy-Reinforcement-Learning
  Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning
  ☆14Updated 5 years ago
• CharlesLoo / stockPrediction_CNN
  Uisng CNN to predicte stock market trend, and feeding with 2D images
  ☆15Updated 6 years ago
• Gofinge / Analysis-of-Stock-High-Frequent-Data-with-LSTM
  A simply framework of researching stock data through LSTM by Tensorflow
  ☆17Updated 6 years ago