Stock Market Prediction on High-Frequency Data Using soft computing based AI models
☆21Sep 6, 2024Updated 2 years ago
Alternatives and similar repositories for Stock-Market-Prediction
Users that are interested in Stock-Market-Prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python library for high frequency market data processing.☆16Dec 8, 2022Updated 3 years ago
- A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.☆186Sep 28, 2019Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆13Jan 11, 2023Updated 3 years ago
- High Frequency Jump Prediction Project☆37Jun 1, 2020Updated 6 years ago
- Makes daytrades using the TD Ameritrade API☆20Feb 2, 2019Updated 7 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Company has a fleet of devices transmitting daily aggregated telemetry attributes.Predictive maintenance techniques are designed to help …☆16Feb 23, 2021Updated 5 years ago
- Multidimensional LSTM for High-Frequency Time Series☆24Aug 9, 2022Updated 4 years ago
- Trend Prediction for High Frequency Trading☆42Dec 8, 2022Updated 3 years ago
- This is the final project of Statistical Arbitrage course and it aims to apply pairs trading in high frequency data to realize auto-tradi…☆19Oct 26, 2018Updated 7 years ago
- ☆20Sep 18, 2020Updated 5 years ago
- Scalping day trading strategy☆45May 30, 2020Updated 6 years ago
- Machine learning approach to high frequency trading, MLP & RNN used☆22Jun 22, 2016Updated 10 years ago
- 回測台指期日內當沖交易，若在開盤後在不同點位進場，持有至收盤出場，統計此交易策略的報酬。☆10Feb 8, 2025Updated last year
- ☆11Nov 6, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Use total, upper, down, relative volatility factors to find Alpha. Implement whole trading process & back-test with visualization.☆13May 30, 2021Updated 5 years ago
- A machine learning pipeline that ingest and process a 20-year historical stock price dataset and try to predict future prices using Light…☆17Nov 20, 2020Updated 5 years ago
- Apply different deep learning models to limit order book.☆13Mar 6, 2018Updated 8 years ago
- High Frequency Trading☆110Jun 10, 2018Updated 8 years ago
- MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series☆19Sep 5, 2025Updated last year
- High Frequency Trading (HFT) done using the Alpaca Trade API and Python.☆25Aug 25, 2019Updated 7 years ago
- Adaptation of Monte Carlo and SARSA algorithms (Reinforcement Learning) for learning the policy of sellers/ buyers in stock market☆12Jul 23, 2018Updated 8 years ago
- Vpin caculation and backtesting☆14Aug 16, 2019Updated 7 years ago
- Quantitative analysis with deep learning prediction and reinforcement learning transactions.☆15Aug 5, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficu…☆15Sep 2, 2020Updated 6 years ago
- Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).☆35Apr 25, 2019Updated 7 years ago
- Example of order book modeling.☆58Jun 18, 2019Updated 7 years ago
- funds are the future!☆21Jul 6, 2021Updated 5 years ago
- Use Neural Network as a trading strategy model☆31Aug 15, 2017Updated 9 years ago
- Exploring Optimal Order Execution in Simulated Limit Order Books☆20Dec 8, 2022Updated 3 years ago
- Implementing a medium freq trading strategy by estimating price impact via order flow.☆17Sep 21, 2020Updated 5 years ago
- ☆10Jun 14, 2018Updated 8 years ago
- High Frequency Analysis Based On Level-2 Data（Limit Order Book& Transaction Data)☆124May 20, 2024Updated 2 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆28Aug 26, 2024Updated 2 years ago
- Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies☆11Mar 24, 2023Updated 3 years ago
- Machine-learning based high frequency trading algorithm for altcoin cryptocurrencies [moved to closed source]☆54Nov 1, 2017Updated 8 years ago
- ☆15Jun 10, 2020Updated 6 years ago
- orderbooks contain so much more organic informations than moving averages...☆19Jun 23, 2026Updated 2 months ago
- DC Motor Tuning Using Fuzzy Logic And PID Controller☆12Oct 8, 2020Updated 5 years ago
- A profitable cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym☆11May 3, 2019Updated 7 years ago