Aaron-Paul / Bitcoin-Price-Twitter-Sentiment-AnalysisLinks
Bitcoin price prediction using twitter sentiment analysis
☆38Updated 4 years ago
Alternatives and similar repositories for Bitcoin-Price-Twitter-Sentiment-Analysis
Users that are interested in Bitcoin-Price-Twitter-Sentiment-Analysis are comparing it to the libraries listed below
Sorting:
- Analysis of Twitter Sentiment to discover correlations with Bitcoin and other cryptocurrencies☆108Updated 7 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆104Updated 6 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆68Updated 5 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆77Updated 5 years ago
- 🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.☆170Updated 4 years ago
- Predict bitcoin values using social sentiments (e.g. news and reddit posts)☆71Updated 3 years ago
- A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments☆52Updated 2 years ago
- Official Repository☆129Updated 4 years ago
- Example of adaptive trend following strategy based on Renko☆124Updated 6 years ago
- GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hed…☆290Updated 4 years ago
- Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time seri…☆108Updated 4 years ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆171Updated 6 years ago
- A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.☆173Updated 6 years ago
- A bot coded for an algorithmic trading competition using market making, statistical arbitrage, and delta and vega hedging☆79Updated 7 years ago
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- Bitcoin price prediction using both traditonal machine learning and deep learning techniques, based on historical price and sentiment ext…☆38Updated 3 years ago
- Source Codes for "Contrarian Trading Strategies in Python"☆79Updated 2 years ago
- CS7641 Team project☆96Updated 5 years ago
- This quant framework applies algorithm trading in Crypto market. The trading pairs focus on spots, perpetuals, futures, and options in De…☆54Updated 5 years ago
- Simple market maker bot (grid order)☆44Updated 6 years ago
- A python script that estimates the support and resistance lines of a stock's prices over a time period☆76Updated 4 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆48Updated 4 years ago
- Visual style support and resistance detection using Python code☆63Updated 6 years ago
- Substantial backtesting of statistical arbitrage pairs trading with crypto-currencies☆24Updated 5 years ago
- Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.☆67Updated 7 years ago
- ☆34Updated 5 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago
- World Quant University Capstone Project - Swing Trading☆12Updated 3 years ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆28Updated 7 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆69Updated 2 years ago