yiqiaooochen / stockPredictionUsingLSTM
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:
- 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…☆21Updated 7 years ago
- Stock Prediction with XGBoost: A Technical Indicators' approach☆28Updated 6 years ago
- Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features …☆31Updated 6 years ago
- —Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)☆9Updated 7 years ago
- A comprehensive approach for stock trading implemented using Neural Network and Reinforcement Learning separately.☆22Updated 6 years ago
- LSTM RNN for sentiment-based stock prediction☆65Updated 7 years ago
- predict the price trend of individual stocks using deep learning and natural language processing☆76Updated 7 years ago
- Stock closing and opening forecasting using Deep neural network and LSTM(technical indicators included)☆20Updated 7 years ago
- This repository contains an automated trading system using machine learning for stock return prediction, position sizing and generating e…☆14Updated 5 years ago
- keywords - Kmeans Clustering, Tsne, PCA, Indian Stocks, Johansen test☆32Updated 6 years ago
- This is an internship project aiming to make Attribution Analysis for general equity funds in China market☆14Updated 6 years ago
- Deep Trading using Convolutional Neural Network☆28Updated 7 years ago
- (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"☆16Updated 7 years ago
- stock trading strategy automatic generated from historical price and volume, using DQN☆25Updated 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…☆60Updated 3 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆100Updated 4 years ago
- This is a VaR and AVaR calculator for portfolio only with stocks using Monte Carlo Method.☆18Updated 7 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
- We used Machine learning techniques to evaluate past data pertaining to the stock market and world affairs of the corresponding time peri…☆77Updated 7 years ago
- In this project, this research generally investigates the financial time series such as the price & return of NASDAQ Composite Index usin…☆12Updated 6 years ago
- Momentum and position based trading strategy analysis☆10Updated 7 years ago
- Using past price data and sentiment analysis from news and other documents to predict the S&P500 index using a LSTM RNN. Idea replicated …☆32Updated last year
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆40Updated 2 years ago
- A detailed study of four machine learning Techniques(Random-Forest, Linear Regression, Neural-Networks, Technical Indicators(Ex: RSI)) ha…☆25Updated last year
- Quantitative analysis of fundamentals in quarterly reports by Machine Learning☆22Updated 5 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆15Updated 5 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Updated 8 years ago
- 一些研报的复现☆12Updated 6 years ago
- We predict stock price with K-means clustering and support vector machine☆17Updated 6 years ago