lucasrea / StockForecast
Using machine learning to predict/forecast the future trend of stock prices.
☆44Updated 2 years ago
Alternatives and similar repositories for StockForecast:
Users that are interested in StockForecast are comparing it to the libraries listed below
- 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
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆30Updated 5 years ago
- ☆73Updated 7 months ago
- ☆92Updated last year
- backtesting strategies using pyalgotrade☆52Updated 3 years ago
- Official Repository☆117Updated 3 years ago
- Python FX trading via the OANDA V20 REST API☆17Updated 7 years ago
- ☆36Updated 3 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
- Pairs trading strategy that includes a research pipeline for identifying and selecting pairs. Tests all possible pairs in a universe for …☆35Updated 8 months 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…☆43Updated 4 years ago
- A python application, that demonstrates optimizing a portfolio using machine learning.☆91Updated 7 months ago
- ☆69Updated 2 years ago
- ☆57Updated last year
- A collection of notebooks I used in my Medium articles.☆135Updated 2 years ago
- Python Jupyter Notebooks for Financial Portfolio Optimization☆32Updated 6 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆122Updated 5 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 …☆57Updated 4 years ago
- LSTM For Stock Market Prediction☆15Updated 6 years ago
- Code and data for my blogs☆92Updated 3 years ago
- Implements different approaches to tactical and strategic asset allocation☆29Updated 3 weeks ago
- Pair Trading Strategy using Machine Learning written in Python☆113Updated 2 years ago
- Financial risk analysis on a stocks portfolio through the VaR (Value at Risk), using Monte Carlo Simulation and Multiple Linear Regressio…☆19Updated 4 years ago
- Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | …☆58Updated 3 years ago
- Stock Price Prediction using Regressions with Fast Fourier Transform (FFT) - Machine Learning Nanodegree capstone project (2017)☆33Updated 5 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- Udacity NANODEGREE Program(Partner with World Quant): Projects designed by industry experts, covering topics from asset management to tra…☆49Updated 3 years ago
- ☆27Updated 2 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆65Updated 5 years ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆28Updated 5 years ago