nayash / stock_cnn_blog_pubView external linksLinks
This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"
☆171Jul 12, 2020Updated 5 years ago
Alternatives and similar repositories for stock_cnn_blog_pub
Users that are interested in stock_cnn_blog_pub are comparing it to the libraries listed below
Sorting:
- This project is essentially the implementation of the paper “Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time …☆22Sep 22, 2020Updated 5 years ago
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆128Jun 7, 2021Updated 4 years ago
- Predicting stock price using historical data of a company, using Neural networks (LSTM).☆154Sep 25, 2019Updated 6 years ago
- Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. KDD 2019.☆23Aug 26, 2020Updated 5 years ago
- Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)☆42Jan 9, 2023Updated 3 years ago
- Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019☆223Mar 24, 2023Updated 2 years ago
- A network tries to predict movements in stock prices based on a picture of a time series stock price.☆40Feb 10, 2021Updated 5 years ago
- Uisng CNN to predicte stock market trend, and feeding with 2D images☆15Sep 16, 2018Updated 7 years ago
- We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cos…☆10Apr 8, 2020Updated 5 years ago
- Alpaca-based Order Book Inbalace Algorithm.☆12Jul 23, 2020Updated 5 years ago
- Using fastai and CNNs to predict stock prices☆24Jun 29, 2019Updated 6 years ago
- Machine learning-driven financial trading strategy: momentum prediction, regime detection, and enhanced trading decisions.☆72Mar 27, 2023Updated 2 years ago
- Forecasting directional movements of stock prices for intraday trading using LSTM and random forest☆524Jul 12, 2021Updated 4 years ago
- Cleaned data for use in stock predicting algorithms☆12Aug 6, 2017Updated 8 years ago
- Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock sel…☆623Mar 25, 2023Updated 2 years ago
- Application of Machine Learning Algorithms to Intraday Stock Trading Based on Demand Zones☆15Jan 16, 2019Updated 7 years ago
- Trading Environment(OpenAI Gym) + DDQN (Keras-RL)☆421Dec 8, 2022Updated 3 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Dec 8, 2022Updated 3 years ago
- ☆14Aug 5, 2020Updated 5 years ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆285Aug 31, 2021Updated 4 years ago
- Deep Reinforcement Learning For Trading☆108Feb 1, 2024Updated 2 years ago
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆172Feb 27, 2024Updated last year
- Exploring Optimal Order Execution in Simulated Limit Order Books☆20Dec 8, 2022Updated 3 years ago
- This repository is for the code of paper "Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to …☆19Sep 24, 2024Updated last year
- ☆18Jan 7, 2019Updated 7 years ago
- Channel break out strategy for High Frequency Trading.☆15Jun 26, 2018Updated 7 years ago
- A PyTorch implementation of QuantNet: transferring learning across systematic trading strategies.☆14Jul 12, 2025Updated 7 months ago
- Use graph-based analysis to re-classify stocks and to improve Markowitz portfolio optimization☆20Mar 8, 2022Updated 3 years ago
- playing idealized trading games with deep reinforcement learning☆360Jun 15, 2021Updated 4 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆218Nov 18, 2023Updated 2 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51May 21, 2019Updated 6 years ago
- Mostly experiments based on "Advances in financial machine learning" book☆565Nov 29, 2020Updated 5 years ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Aug 21, 2020Updated 5 years ago
- Trading Bitcoin with Deep Reinforcement Learning☆19Dec 24, 2019Updated 6 years ago
- Time Series Classification with Convolutional Neural Network: Automated Trading by Pattern Recognition (Master's Thesis)☆20Jan 19, 2023Updated 3 years ago
- source : http://coin.wne.uw.edu.pl/pwojcik/hfd_en.html☆38Jul 12, 2018Updated 7 years ago
- CNN for stock market prediction using raw data & candlestick graph.☆167Sep 17, 2019Updated 6 years ago
- Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment A…☆77Oct 7, 2020Updated 5 years ago
- Image Classification for Trading Strategies - Project for Machine Learning Class☆37Aug 25, 2021Updated 4 years ago