Xinyi6 / DP-LSTM-Differential-Privacy-inspired-LSTM-for-Stock-Prediction-Using-Financial-News
☆77Updated 5 years ago
Alternatives and similar repositories for DP-LSTM-Differential-Privacy-inspired-LSTM-for-Stock-Prediction-Using-Financial-News:
Users that are interested in DP-LSTM-Differential-Privacy-inspired-LSTM-for-Stock-Prediction-Using-Financial-News are comparing it to the libraries listed below
- 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 10 months 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
- ☆59Updated 5 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆56Updated 6 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆54Updated 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 7 years ago
- Intra day Stock Prediction 10 minutes into the future☆104Updated 5 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆98Updated 3 years ago
- TensorFlow implementation of Z. Hu et al. "Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Predict…☆29Updated 6 months ago
- This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Networks to predict stock prices.☆84Updated 3 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆65Updated 3 years ago
- Try to predict stock price with LSTM、GAN and DRL, exploring the features of news and technical indicators，which help improving perfomance…☆92Updated 5 years ago
- Hidden Markov Model (HMM) based stock forecasting☆100Updated 7 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆37Updated 5 years ago
- My codework for my economics undergraduate thesis titled "Empirical Asset Pricing via Deep Learning"☆49Updated 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
- LSTM RNN for sentiment-based stock prediction☆64Updated 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
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆26Updated 5 years ago
- Applying Deep Learning and NLP in Quantitative Trading☆105Updated 6 years ago
- The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"☆53Updated 3 years ago
- Stock selection and portfolio performance based on ESG Scores☆14Updated 4 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆25Updated 2 years ago
- In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings☆49Updated 6 years ago
- ☆55Updated 5 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆21Updated 3 years ago
- ☆193Updated 2 weeks ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 3 years ago
- https://arxiv.org/abs/2006.04992☆19Updated 3 years ago