omerbsezer / TimeSeries2DBarChartImageCNN
Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
☆40Updated 2 years ago
Alternatives and similar repositories for TimeSeries2DBarChartImageCNN:
Users that are interested in TimeSeries2DBarChartImageCNN are comparing it to the libraries listed below
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- Trend Prediction for High Frequency Trading☆37Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆47Updated 5 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
- Stock Prediction with XGBoost: A Technical Indicators' approach☆27Updated 5 years ago
- Deep Direct Recurrent Reinforcement Learning to learn trading system☆26Updated 7 years ago
- This project is to apply Copula Function to pair trading strategy both in American stock market.☆24Updated 6 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
- A financial trading method using machine learning.☆59Updated last year
- XGBoost is known to be fast and achieve good prediction results as compared to the regular gradient boosting libraries. This project atte…☆30Updated 5 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆53Updated 5 years ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- This project aims to select a supervised algorithm that can predict stock prices basing on historical data and use the predictor generate…☆20Updated 6 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆89Updated 2 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆13Updated 3 years ago
- By combining GARCH(1,1) and LSTM model implementing predictions.☆56Updated 6 years ago
- Automated FOREX trading using recurrent reinforcement learning☆32Updated 2 years ago
- This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.☆97Updated 4 years ago
- Deep Reinforcement Learning Framework for Factor Investing☆23Updated last year
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆18Updated 4 months ago
- A low frequency statistical arbitrage strategy☆19Updated 5 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆35Updated 5 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆11Updated 5 years ago
- A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock …☆14Updated 5 years ago
- Stock Price Predictor☆31Updated 5 years ago
- Project description: https://medium.com/@tzhangwps/measuring-financial-turbulence-and-systemic-risk-9d9688f6eec1?source=friends_link&sk=1…☆25Updated 8 months ago
- ☆20Updated 4 years ago
- To create a data-web application deployed using the azure app service, which was made on Streamlit, the leading Pythonic data application…☆10Updated 2 years ago
- Stock markets are an essential component of the economy. Their prediction naturally arouses afascination in the academic and financial w…☆20Updated 3 years ago