vkgnandhu177 / Bayesian-Regression-and-BitcoinLinks
# Bayesian-Regression-to-Predict-Bitcoin-Price-Variations Predicting the price variations of bitcoin, a virtual cryptographic currency. These predictions could be used as the foundation of a bitcoin trading strategy. To make these predictions, we will have to familiarize ourself with a machine learning technique, Bayesian Regression, and impleme…
☆23Updated 7 years ago
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
Sorting:
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆27Updated 7 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- Channel break out strategy for High Frequency Trading.☆14Updated 7 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- SVM for stock/index prediction☆14Updated 8 years ago
- verify OrderBook Tick Data Trading Strategy on futures.☆16Updated 6 years ago
- 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
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆21Updated last year
- Building a High Frequency Trading Engine with Neural Networks☆12Updated 7 years ago
- Unsupervised Learning to Market Behavior Forecasting Example☆42Updated 5 years ago
- Create a mid-price classifier for limit order books using a CNN and LSTM☆15Updated 5 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 6 years ago
- Vpin caculation and backtesting☆14Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆12Updated 2 years ago
- Predicting a Stock Price Using a Genetic Algorithm☆16Updated 7 years ago
- Trend Prediction for High Frequency Trading☆43Updated 2 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 7 years ago
- ☆16Updated 3 years ago
- ☆18Updated 6 years ago
- 🏦 Collect quant trade strategy and deep learning trading implementation☆13Updated 7 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆34Updated 4 years ago
- Financial time-series forecasting has long been a challenging problem because of the inherently noisy and stochastic nature of the market…☆16Updated 4 years ago
- Deep learning for price movement prediction using high frequency limit order data☆40Updated 7 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆50Updated 5 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆30Updated 6 years ago
- High Frequency Jump Prediction Project☆39Updated 5 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 5 years ago
- High frequency trading algorithm for Bitmex☆23Updated 5 years ago