# 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…
☆23Mar 28, 2018Updated 8 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
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 9 years ago
- This project implements a bagging based spatio-temporal regression model for wind power forecasting.☆13Apr 2, 2018Updated 8 years ago
- LSTM Neural Network for predicting whether future price going up or not in a specific time interval☆13Feb 14, 2018Updated 8 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆11Apr 8, 2020Updated 6 years ago
- Building a High Frequency Trading Engine with Neural Networks☆12Apr 2, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Reinforcement learning environment for trading☆15Jan 27, 2018Updated 8 years ago
- Modelling for price change forecast using High-frequency Trading limit order book dynamics using ML algorithms☆26Mar 10, 2018Updated 8 years ago
- Trading Strategy Using Keras/Tensorflow LSTM and Custom Loss Function☆17Oct 14, 2017Updated 8 years ago
- verify OrderBook Tick Data Trading Strategy on futures.☆17Mar 21, 2019Updated 7 years ago
- Channel break out strategy for High Frequency Trading.☆15Jun 26, 2018Updated 7 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
- Test program of RNN and Tensorflow☆14Nov 20, 2017Updated 8 years ago
- High Frequency Trading Strategy☆12Dec 20, 2018Updated 7 years ago
- A project that uses Reinforcement Learning (Q-Learning) to trade stock.☆10Apr 23, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 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 10 years ago
- Stock prediction done using RNN and LTSM to resolve vanishing gradient problem. Dataset used is obtained from Pakistan Stock Exchange☆10Dec 6, 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
- ☆11Nov 6, 2018Updated 7 years ago
- This project is to explore high-frequency model and strategy. You will expect high-frequency features mining, ml/dl models, and hf tradin…☆22May 19, 2021Updated 5 years ago
- Trading Strategy on S&P500 with different method (Linear Regression, XGBOOST, LSTM, HMM☆10May 11, 2020Updated 6 years ago
- spots hedge for multi exchanges based on ccxt project.☆18Dec 16, 2017Updated 8 years ago
- Artificial intelligence machine learning crypto trading bot☆26Jun 30, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Stock Price Prediction with LSTM and Trading Strategy with Reinforcement Learning☆14Nov 5, 2019Updated 6 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 Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals☆13Oct 1, 2021Updated 4 years ago
- A High-Frequency Market-Making bot for CoinCheck.jp☆11Oct 30, 2017Updated 8 years ago
- 李鲁鲁老师的 Copilot-Python 学习。和ChatGPT等大语言模型协同进化。☆10Jun 3, 2025Updated 11 months 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
- A reservoir computing implementation in Mathematica for financial time series prediction.☆11Jul 22, 2015Updated 10 years ago
- A hybrid forecasting model that combines the Hilbert-Huang Transform and Multivariate Adaptive Regression Splines☆16Feb 7, 2019Updated 7 years ago
- 基于adaboost的SVM预测股票价格☆11Mar 4, 2018Updated 8 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Backtest and run stock trading CFD strategies tick by tick☆13Mar 29, 2021Updated 5 years ago
- 从0学习深度学习课程，跟随Andrew Ng的Coursera课程，课后根据记忆用python代码实现课程作业☆12Jan 14, 2020Updated 6 years ago
- Trading platform for high frequency data☆15Nov 12, 2014Updated 11 years ago
- This project combines logistic regression, gradient boosting, and LSTMs to predict next-month returns.☆13Sep 25, 2019Updated 6 years ago
- I use TVP-VAR methodology with a stochastic volatility model to investigate the forecasting performance on macroeconomic variables. In pa…☆10Nov 17, 2019Updated 6 years ago
- A trading algorithm utilizing a Naive Bayes classifier to predict expected returns, GARCH (1,1) volatility forecasting, and the Markowitz…☆10Dec 22, 2017Updated 8 years ago
- Fit hidden Markov model to stock returns and backtest strategy with hidden volatility regime filter☆11Nov 12, 2018Updated 7 years ago