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☆79Updated 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
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆22Updated 8 years ago
- Novice's attempt for Stock Prices Prediction & Portfolio Optimization using Machine Learning with Python & Scikit Learn☆56Updated 4 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆108Updated 6 years ago
- 💲entiment Analysis of Tweets & predicting Stock 💹 prices based on user sentiments about # Amazon☆18Updated 8 years ago
- This is an internship project aiming to make Attribution Analysis for general equity funds in China market☆14Updated 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
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 7 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆33Updated 6 years ago
- Deep Trading using Convolutional Neural Network☆28Updated 8 years ago
- LSTM RNN for sentiment-based stock prediction☆66Updated 7 years ago
- (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"☆16Updated 7 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆101Updated 5 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 8 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆93Updated 3 years ago
- factorset: 提供中国A股市场因子集合，包含各类常用及特异因子计算方法，持续更新中。提供轻量级因子计算框架，高可扩展。持续更新中。☆40Updated 7 years ago
- stock trading strategy automatic generated from historical price and volume, using DQN☆25Updated 7 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
- ☆14Updated 5 years ago
- ☆15Updated 4 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Updated 2 years ago
- 上证50成分股、马科维茨有效前沿、CML、资本市场线、最高夏普比率、最低风险☆27Updated 6 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
- Stock Prediction with XGBoost: A Technical Indicators' approach☆31Updated 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…☆61Updated 4 years ago
- CVXPY Portfolio Optimization Sample☆45Updated 8 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 7 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 9 years ago
- This project deals with the use of machine learning to predict changes in stock values as well as we incorporating study on effect of dif…☆13Updated 8 years ago