chinuy / stock-price-predictionLinks
A practice project for machine learning and stop price prediction
☆20Updated 7 years ago
Alternatives and similar repositories for stock-price-prediction
Users that are interested in stock-price-prediction are comparing it to the libraries listed below
Sorting:
- Stock Market Prediction Using Unsupervised Features☆54Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆91Updated 3 years ago
- Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf☆94Updated 3 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- predict the price trend of individual stocks using deep learning and natural language processing☆76Updated 7 years ago
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆21Updated 8 years ago
- Reproduce research from paper "Predicting the direction of stock market prices using random forest"☆118Updated 7 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆100Updated 4 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Predict stock movement with Machine Learning and Deep Learning algorithms☆51Updated 2 years ago
- ☆73Updated 3 years ago
- Reinforcement Learning Script that trades Equities from Yahoo Finance☆77Updated 6 years ago
- Estimating Value-at-Risk with a recurrent neural network (Jordan type) GARCH model☆70Updated 5 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 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
- Having effective intraday forecast for the level of trading volume is of vital importance to algorithmic trading and portfolio management…☆49Updated 5 years ago
- ☆64Updated 7 years ago
- Stock Market Prediction Using Neural Network Models (Backpropagation, RNN, RBF) Keras with Tensorflow backend☆48Updated 7 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆66Updated 2 years ago
- Python based Quant Finance Models, Tools and Algorithmic Decision Making☆46Updated 7 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…☆61Updated 3 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 8 years ago
- Repository for Going Deeper with Convolutional Neural Network for Stock Market Prediction☆135Updated last year
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 4 years ago
- Price Prediction with Machine Learning Models (practicum project at CME group)☆71Updated 9 years ago
- Notes for Active Portfolio Management, by Grinold and Kahn☆46Updated 9 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
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆15Updated 4 years ago