heliphix / btc_dataLinks
This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
☆53Updated 3 years ago
Alternatives and similar repositories for btc_data
Users that are interested in btc_data are comparing it to the libraries listed below
Sorting:
- Pairs trading strategy example based on Catalyst☆50Updated 6 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆67Updated 2 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆66Updated 5 years ago
- Deep Reinforcement Learning For Trading☆106Updated last year
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆68Updated last year
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆59Updated 5 years ago
- ☆29Updated 2 years ago
- Advances in Financial Machine Learning by Marcos Lopez De Prado☆54Updated 6 years ago
- Research Repo (Archive)☆75Updated 4 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆125Updated 5 years ago
- ☆142Updated 2 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆104Updated 6 years ago
- Notes on Advances in Financial Machine Learning☆80Updated 6 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆67Updated 5 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆54Updated 5 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
- Source Codes for "Contrarian Trading Strategies in Python"☆78Updated 2 years ago
- kennedyCzar / STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDAForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning …☆133Updated 3 years ago
- ☆21Updated 2 years ago
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆126Updated 4 years ago
- ☆73Updated 3 years ago
- Hidden Markov Model (HMM) based stock forecasting☆104Updated 7 years ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆170Updated 6 years ago
- Bitmex orderbooks saving + (neural) trading signal generator + backtesting etc.☆35Updated 2 years ago
- The random forest, FFNN, CNN and RNN models are developed to predict the movement of future trading price of Netflix (NFLX) stock using t…☆61Updated 3 years ago
- A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models o…☆97Updated last year
- List of portfolio management resources, using Reinforcement Learning.☆41Updated last year