omerbsezer / CNN-TALinks
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.
☆125Updated 4 years ago
Alternatives and similar repositories for CNN-TA
Users that are interested in CNN-TA are comparing it to the libraries listed below
Sorting:
- Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time seri…☆109Updated 4 years ago
- Pair Trading Strategy using Machine Learning written in Python☆120Updated 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…☆61Updated 3 years ago
- Limit Order Book data analysis and modeling using LSTM network☆138Updated 6 years ago
- 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
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆66Updated 5 years ago
- Source Codes for the Book of Trading Strategies☆177Updated 3 years ago
- Collection of indicators that I used in my strategies.☆58Updated 4 months ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆151Updated last year
- ☆75Updated last year
- ☆140Updated 2 years ago
- Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques☆104Updated 6 years ago
- A simple dashboard for graphing tensortrade simulations☆28Updated 5 years ago
- Source code from the youtube video☆77Updated 2 years ago
- This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some…☆127Updated 3 years ago
- 🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.☆167Updated 4 years ago
- This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Im…☆170Updated 5 years ago
- ☆200Updated 2 weeks ago
- Repository containing the code for a pairs trading investment strategy (Master Thesis in Electrical and Computer Engineering - Técnico Li…☆168Updated 5 years ago
- A python script that estimates the support and resistance lines of a stock's prices over a time period☆76Updated 4 years ago
- High Frequency Pairs Trading Based on Statistical Arbitrage (Python)☆106Updated 6 years ago
- Official Repository☆128Updated 3 years ago
- Code and data for my blogs☆91Updated 4 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆104Updated 2 years ago
- ☆102Updated 2 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆66Updated 2 years ago
- Notes on Advances in Financial Machine Learning☆80Updated 6 years ago
- Deep q learning on determining buy/sell signal and placing orders☆50Updated 6 years ago
- ☆203Updated 2 years ago