Ajaypal91 / Predicting-Price-of-CryptocurrencyLinks
Machine Leaning regression on cryptocurrency price prediction using SVM, HMM, PCA, fbProphet, continuous HMM, ARIMA and comparing the results
☆36Updated 7 years ago
Alternatives and similar repositories for Predicting-Price-of-Cryptocurrency
Users that are interested in Predicting-Price-of-Cryptocurrency are comparing it to the libraries listed below
Sorting:
- Machine learning regression algorithm on cryptocurrency stock price for the next 30 days.☆67Updated 7 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 …☆60Updated 5 years ago
- Uses Facebook Prophet to analyze time-series data and make predictions on cryptocurrency prices☆21Updated 7 years ago
- ☆26Updated 2 years ago
- A genetic algorithm incorporated with technical analysis indicator to optimize parameters of a strategy.☆28Updated 3 years ago
- In this project RNN variations are tested on a dataset comprised of not only Bitcoin historical price, but also other influencing factors…☆17Updated 5 years ago
- Deep q learning on determining buy/sell signal and placing orders☆49Updated 6 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆64Updated 2 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆45Updated 4 years ago
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 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…☆91Updated 9 months ago
- Recurrent Neural Network (RNN), LSTM (Long Short-Time Memory), Bitcoin, Google Trends, Prediction, Deep Learning☆38Updated 6 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…☆60Updated 3 years ago
- This project used GARCH type models to estimate volatility and used delta hedging method to make a profit.☆63Updated 5 years ago
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆46Updated 5 years ago
- bitcoin prediction algorithms☆25Updated 6 years ago
- Math Techniques viz. ARIMA, Frequency Decomposition, Fourier Filtering, Linear Regression & Bi-directional LSTMs on Feature Engineered S…☆22Updated 5 years ago
- Predict bitcoin values using social sentiments (e.g. news and reddit posts)☆65Updated 2 years ago
- Trend Prediction for High Frequency Trading☆41Updated 2 years ago
- Stock Price prediction using news data. The datasets used consists news and stock price data from 2008 to 2016. The polarity(Subjectivity…☆48Updated 7 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆52Updated 4 years ago
- Statistical study of accuracy of candlestick patterns in predicting the stock market and their occurrence☆10Updated 6 years ago
- Tools to calculate and plot support/resistance lines for OHLC datasets☆26Updated 6 years ago
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Updated 6 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆29Updated 6 years ago
- Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | …☆57Updated 3 years ago
- How to detect stock market crashes with topology.☆82Updated 4 years ago
- Cointegration Test in python☆28Updated 6 years ago
- Simulation of Financial Models, Valuation Framework, Derivatives and Portfolio Valuation, Volatility Options☆24Updated 5 years ago