carrilloric / CS230Links
Generative Adversarial Network for Stock Market Price Prediction
☆58Updated 5 years ago
Alternatives and similar repositories for CS230
Users that are interested in CS230 are comparing it to the libraries listed below
Sorting:
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- CNNpred: CNN-based stock market prediction using a diverse set of variables☆71Updated 4 years ago
- Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow.☆94Updated 2 years ago
- Using fastai and CNNs to predict stock prices☆25Updated 6 years ago
- Deep Learning - Neural network (RNN, LSTM & GRU)☆65Updated 6 years ago
- Improve S&P 500 stock price prediction (random forest and gradient boosting trees) with time series similarity measurements: DTW, SAX, co…☆99Updated 3 years ago
- Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"☆37Updated 2 years ago
- Hidden Markov Model (HMM) based stock forecasting☆104Updated 7 years ago
- Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677☆65Updated 3 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆38Updated 4 years ago
- Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting☆18Updated last year
- Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.☆67Updated 5 months ago
- Materials for blogs and conferences☆69Updated 4 years ago
- ☆77Updated 5 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆35Updated 5 years ago
- ☆101Updated 3 years ago
- Unsupervised machine learning Principal Component Analysis (PCA) on the Dow Jones Industrial Average index and it's respective 30 stocks …☆74Updated 5 years ago
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆54Updated 4 years ago
- In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US s…☆55Updated 4 years ago
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆21Updated 5 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 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
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆73Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆54Updated 7 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
- Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.☆78Updated 3 years ago
- Stock price prediction using a Temporal Fusion Transformer☆116Updated 2 years ago
- Material for QuantUniversity talk on Sythetic Data Generation for Finance.☆121Updated 4 years ago
- Intra day Stock Prediction 10 minutes into the future☆111Updated 6 years ago