yiqiaooochen / stockPredictionUsingLSTMLinks
This project is to practice applying Long Short-Term Memory network in deep learning to predict time series financial data. I selected Amazon's stock prices in the past five years and achieved a satisfying prediction result.
☆15Updated 7 years ago
Alternatives and similar repositories for stockPredictionUsingLSTM
Users that are interested in stockPredictionUsingLSTM are comparing it to the libraries listed below
Sorting:
- predict the price trend of individual stocks using deep learning and natural language processing☆78Updated 7 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
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 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
- 💲entiment Analysis of Tweets & predicting Stock 💹 prices based on user sentiments about # Amazon☆18Updated 7 years ago
- Deep Time Series Code (Stock Sentiment Prediction)☆84Updated 7 years ago
- This is an internship project aiming to make Attribution Analysis for general equity funds in China market☆14Updated 7 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆106Updated 6 years ago
- LSTM RNN for sentiment-based stock prediction☆65Updated 7 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- 基于聚宽平台,探索分钟级的高频交易☆35Updated 5 years ago
- 一些研报的复现☆12Updated 7 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆100Updated 4 years ago
- We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time peri…☆77Updated 8 years ago
- ☆15Updated 4 years ago
- ☆14Updated 8 years ago
- ☆14Updated 5 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 7 years ago
- An intelligent recommender system for stock analyzing, predicting and trading☆141Updated 3 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆92Updated 3 years ago
- 📈 A neural network regression model trained to predict the mean stock price percentage change everyday using financial factors like pre…☆52Updated 7 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆30Updated 6 years ago
- We predict stock price with K-means clustering and support vector machine☆17Updated 6 years ago
- Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM☆47Updated 8 years ago
- ☆116Updated 8 years ago
- This is a VaR and AVaR calculator for portfolio only with stocks using Monte Carlo Method.☆18Updated 7 years ago
- This program focused on the core concepts and practice of quantitative investment (multi-factor combination analysis, technical analysis …☆46Updated 5 years ago
- This project explores the way to construct the multiple factor risk model to calculate the risk contribution of each factor and the total…☆73Updated 7 years ago
- Algorithmic Trading program, that uses Genetic Programming and Genetic Algorithms to predict stock prices.☆104Updated 5 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago