vkgnandhu177 / Bayesian-Regression-and-BitcoinView external linksLinks
# 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…
☆22Mar 28, 2018Updated 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:
- predicting the price variations of bitcoin, a virtual cryptographic currency. These predictions could be used as the foundation of a bitc…☆26Apr 23, 2017Updated 8 years ago
- Reinforcement learning environment for trading☆15Jan 27, 2018Updated 8 years ago
- This is the example code for "Bitcoin and crypto trading with Artificial Intelligence" hackathon at Holberton school https://www.meetup.c…☆20Jul 1, 2018Updated 7 years ago
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆28Mar 10, 2018Updated 7 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Apr 8, 2020Updated 5 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 …☆10Mar 30, 2016Updated 9 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Apr 2, 2018Updated 7 years ago
- LSTM Neural Network for predicting whether future price going up or not in a specific time interval☆12Feb 14, 2018Updated 8 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆27Nov 5, 2018Updated 7 years ago
- Reinforcement Learning (RL) is believe to be a more general approach towards Artificial Intelligence (AI). RL is the foundation for many …☆13Dec 22, 2022Updated 3 years ago
- This project implements a bagging based spatio-temporal regression model for wind power forecasting.☆13Apr 2, 2018Updated 7 years ago
- A project that uses Reinforcement Learning (Q-Learning) to trade stock.☆10Apr 23, 2017Updated 8 years ago
- Artificial intelligence machine learning crypto trading bot☆26Jun 30, 2020Updated 5 years ago
- Machine Learning for Trading☆14Jul 25, 2018Updated 7 years ago
- verify OrderBook Tick Data Trading Strategy on futures.☆17Mar 21, 2019Updated 6 years ago
- Computer Engineering Senior Project. Machine Learning High Frequency Stock Trading Algorithm on an FPGA☆16Dec 4, 2019Updated 6 years ago
- Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning☆14Nov 5, 2019Updated 6 years ago
- Channel break out strategy for High Frequency Trading.☆15Jun 26, 2018Updated 7 years ago
- ☆18Jan 7, 2019Updated 7 years ago
- Trading Strategy Using Keras/Tensorflow LSTM and Custom Loss Function☆17Oct 14, 2017Updated 8 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- stock trading by Deep Q-Learning (Deep Q Network)☆13Feb 6, 2017Updated 9 years ago
- 实行gamma scalping策略时的期权组合选择工具☆19Mar 10, 2019Updated 6 years ago
- Test program of RNN and Tensorflow☆15Nov 20, 2017Updated 8 years ago
- A Trading bot framework which uses a combination 1d KVO/Signal and VWAP strategies to place orders on Bitmex. Advanced strategies includi…☆20Jun 19, 2018Updated 7 years ago
- Deep Reinforcement Learning A3C Crypto Trading Bot☆40Feb 24, 2018Updated 7 years ago
- High frequency trading algorithm for Bitmex☆22Jun 22, 2020Updated 5 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Jun 22, 2016Updated 9 years ago
- Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordin…☆44Feb 15, 2023Updated 3 years ago
- Deep learning models for high-frequency financial data (limited order book)☆19Apr 2, 2019Updated 6 years ago
- Algorithmic trading☆22Feb 27, 2019Updated 6 years ago
- spots hedge for multi exchanges based on ccxt project.☆18Dec 16, 2017Updated 8 years ago
- Limit Order Book for high-frequency trading (HFT) strategies using data science approaches☆23Dec 12, 2021Updated 4 years ago
- 【停止维护】新版本更新已迁移到 IBATS 项目组对应名称项目中。Auto Backtest Analysis Trade Framework 支持期货、数字货币进行量化交易,集成回测、分析、交易于一体。当前项目主要用于数字货币使用。☆22Dec 8, 2022Updated 3 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Dec 20, 2017Updated 8 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Jun 25, 2018Updated 7 years ago
- ☆27Jan 18, 2018Updated 8 years ago
- Intraday momentum strategy that buys (sells) leveraged ETFs late in the trading session following a significant intraday gain (loss) and …☆27Apr 23, 2024Updated last year
- Baeta is a modern, typesafe, schema first GraphQL framework that enables developers to build powerful and scalable GraphQL APIs with ease…☆13Updated this week