HusseinJammal / Liquid-Neural-Networks-in-Stock-Market-PredictionLinks
This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to enhance the accuracy of financial predictions.
☆84Updated last year
Alternatives and similar repositories for Liquid-Neural-Networks-in-Stock-Market-Prediction
Users that are interested in Liquid-Neural-Networks-in-Stock-Market-Prediction are comparing it to the libraries listed below
Sorting:
- MambaStock: Selective state space model for stock prediction☆172Updated last year
- This repository hosts the code for the SAMBA model, proposed in our IEEE ICASSP paper "Mamba Meets Financial Markets: A Graph-Mamba Appro…☆81Updated 3 weeks ago
- Tutorial to implement Liquid Time-Constant Neural Network from scratch (eng\rus)☆33Updated last year
- Stock price prediction using a Temporal Fusion Transformer☆115Updated 2 years ago
- ☆79Updated last year
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆58Updated 5 years ago
- Code to accompany the paper "Fin-GAN: Forecasting and Classifying Financial Time Series via Generative Adversarial Networks"☆129Updated last year
- Reinforcement Learning for Stock Market Prediction☆148Updated last year
- Using Transformer deep learning architecture to predict stock prices.☆255Updated 10 months ago
- ☆111Updated 9 months ago
- Intra day Stock Prediction 10 minutes into the future☆111Updated 6 years ago
- stock prediction with GAN and WGAN☆104Updated 3 years ago
- Galformer: A Transformer with Generative Decoding and a Hybrid Loss Function for Multi-Step Stock Market Index Prediction☆45Updated 2 months ago
- Research project implementation for the ICAIF'21 publication and Master's Thesis. ITS-SentARL => Intelligent Trading Systems: A Sentiment…☆42Updated last year
- This repository contains the code for the Project "Forex Stock Price Prediction using Transformers and Time Embeddings" written in Tensor…☆52Updated last year
- NN models designed to analyze and predict stock market from any stock data given☆35Updated 2 years ago
- This is the official repository for the paper TLOB: A Novel Transformer Model with Dual Attention for Stock Price Trend Prediction with L…☆81Updated 5 months ago
- LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈☆109Updated last year
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆72Updated 4 years ago
- Price prediction for Crypto, Stock, and Index using Hybrid Graph Attention Network (GAT) and Long Short-Term Memory (LSTM) models on PyTo…☆21Updated last year
- ☆201Updated 2 weeks ago
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading☆130Updated last week
- This is the official code and supplementary materials for our AAAI-2024 paper: MASTER: Market-Guided Stock Transformer for Stock Price Fo…☆360Updated 3 months ago
- Code for the paper "FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents" arXiv:2502.07393☆266Updated 6 months ago
- In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to …☆261Updated 4 years ago
- ☆62Updated 5 years ago
- Stock Prediction usning Transformer NN☆84Updated 6 years ago
- This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2…☆85Updated last year
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆58Updated 2 years ago
- TensorFlow implementation of Liquid Time-Constant Neural Network layers☆21Updated 3 years ago