lukebhan / TwitterSentimentAnalysisToolLinks
This tool is developed to scrape twitter data, process the data, and then create either an unsupervised network to identify interesting patterns or can be designed to specifically verify a concept or idea.
☆19Updated 2 years ago
Alternatives and similar repositories for TwitterSentimentAnalysisTool
Users that are interested in TwitterSentimentAnalysisTool are comparing it to the libraries listed below
Sorting:
- 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 …☆136Updated 3 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51Updated 6 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆72Updated 2 years ago
- This repository stores the implementation of the paper "DETECTING DATA-DRIVEN ROBUST STATISTICAL ARBITRAGE STRATEGIES WITH DEEP NEURAL NE…☆71Updated last year
- The Implied Volatility Smirk of Individual Option in S&P 500 Shows its Underlying Asset’s Return☆38Updated 5 years ago
- Various python scripts to introduce mean reversion concepts.☆23Updated 7 years ago
- ☆65Updated 2 years ago
- Notes on Advances in Financial Machine Learning☆84Updated 7 years ago
- Pairs Trading with Machine Learning on Distributed Python Platform☆125Updated 3 years ago
- ☆75Updated 3 years ago
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- Trend Prediction for High Frequency Trading☆42Updated 3 years ago
- Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.☆72Updated 8 months ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆126Updated 6 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆57Updated 5 years ago
- ☆41Updated 4 years ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆30Updated 7 years ago
- • Conducted a volatility study to develop pairs trading strategy by writing web crawlers that automated extracting 30 equity and ETF spot…☆49Updated 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
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Updated 6 years ago
- The course, authored by Prof. Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading)…☆13Updated 7 years ago
- Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=1…☆26Updated 11 months ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆55Updated 5 years ago
- ☆47Updated 4 years ago
- A low frequency statistical arbitrage strategy☆20Updated 6 years ago
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆25Updated 6 years ago
- Different quantitative trading models research☆55Updated last year
- Contains detailed and extensive notes on quantitative trading, leveraging NLP for finance, backtesting, alpha factor research, portfolio …☆50Updated 3 years ago
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆97Updated 2 years ago
- ☆41Updated 4 years ago