lucasrea / StockForecastLinks
Using machine learning to predict/forecast the future trend of stock prices.
☆45Updated 3 years ago
Alternatives and similar repositories for StockForecast
Users that are interested in StockForecast are comparing it to the libraries listed below
Sorting:
- ☆75Updated last year
- 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
- 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
- By combining GARCH(1,1) and LSTM model implementing predictions.☆57Updated 6 years ago
- Stock Fundamental Analysis using Machine Learning Classification Models☆103Updated 3 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 2 years ago
- ☆125Updated 6 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆33Updated 6 years ago
- Hidden Markov Model (HMM) based stock forecasting☆101Updated 7 years ago
- ☆61Updated 2 years ago
- Various python scripts to introduce mean reversion concepts.☆22Updated 6 years ago
- Source code from the youtube video☆78Updated last year
- Pair Trading Strategy using Machine Learning written in Python☆119Updated 3 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆125Updated 5 years ago
- Find trading pairs with Machine Learning☆41Updated 4 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆22Updated 4 years ago
- Tool that fetches company data, statistics, and financials for valuation and analysis, and then performs automated valuation analysis.☆24Updated 4 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
- Visualising correlations between different ETFs using network analytics and Plotly☆34Updated 3 years ago
- ☆39Updated 4 years ago
- Developing a long/short equity investment portfolio with Machine Learning predictions using data acquired from web-scraping. Flatiron Mod…☆39Updated 4 years ago
- On this repository you'll find tools used for Quantitative Analysis and some examples such: MonteCarlo Simulations, Linear Regression, Ge…☆27Updated 2 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆34Updated 6 years ago
- LSTM stock prediction and backtesting☆14Updated 5 years ago
- ☆39Updated 3 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆65Updated 2 years ago
- Automatically performs the DCF calculation, sensitivity analysis and Piotroski f-score analysis for a given company. All financial data c…☆47Updated 4 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆76Updated 5 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