omerbsezer / CNN-TA
Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties.
☆119Updated 3 years ago
Alternatives and similar repositories for CNN-TA:
Users that are interested in CNN-TA are comparing it to the libraries listed below
- Pair Trading Strategy using Machine Learning written in Python☆114Updated 2 years ago
- ☆93Updated last year
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Updated 5 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆101Updated 6 years ago
- ☆74Updated 9 months ago
- Official Repository☆123Updated 3 years ago
- A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python☆89Updated 2 years ago
- Elliot Wave Analyzer for OHLC data☆77Updated 6 years ago
- Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques☆90Updated 6 years ago
- Source Codes for the Book of Trading Strategies☆172Updated 3 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
- ☆138Updated 2 years ago
- CS7641 Team project☆93Updated 4 years ago
- A financial trading method using machine learning.☆60Updated 2 years ago
- RSI divergence detector finds regular and hidden bullish and bearish divergences☆100Updated last year
- Limit Order Book data analysis and modeling using LSTM network☆136Updated 6 years ago
- Research Repo (Archive)☆73Updated 4 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆168Updated 4 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆129Updated last year
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Source code from the youtube video☆77Updated last year
- backtrader with DRL ( Deep Reinforcement Learning)☆66Updated last year
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆101Updated 2 years ago
- Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado☆124Updated 5 years ago
- Deep q learning on determining buy/sell signal and placing orders