moneygeek / lstm-stock-predictionLinks
Sample code for using LSTMs to predict stock price movements
☆20Updated last year
Alternatives and similar repositories for lstm-stock-prediction
Users that are interested in lstm-stock-prediction are comparing it to the libraries listed below
Sorting:
- ☆8Updated 4 years ago
- This repository provides codes for implementing DQN model in algorithmic trading☆14Updated 3 years ago
- Stock Trading with Reinforcement Learning (DQN & DDPG)☆9Updated 4 years ago
- ☆10Updated 5 months ago
- This project explores stock trading modelling with the use recurrent neural network (RNN) with long-short term memory (LSTM) architecture…☆27Updated 6 years ago
- Option hedging strategies are investigated using two reinforcement learning algorithms: deep Q network and deep deterministic policy grad…☆21Updated 5 years ago
- ☆20Updated 2 years ago
- Source Code for 'Reinforcement Learning for Finance' by Samit Ahlawat☆27Updated 2 years ago
- I will be considering the google stocks data and will create a LSTM network for prediction.☆32Updated last year
- Automated stock trading strategy using deep reinforcement learning and recurrent neural networks☆13Updated 8 months ago
- Stock market data can be interesting to analyze and as a further incentive, strong predictive models can have large financial payoff. The…☆24Updated 7 years ago
- Code for paper Stock trading rule discovery with double deep Q-network☆14Updated 2 years ago
- Stock Trading using Reinforcement Learning☆9Updated 5 years ago
- Deep Reinforcement Learning for Trading☆27Updated 2 years ago
- Predicting Walmart's Quarterly Earnings - Pytorch LSTM Example☆10Updated 3 years ago
- Some codes used for the numerical examples proposed in https://arxiv.org/abs/1812.05916☆14Updated 5 years ago
- A Reinforcement Learning based Stock Trader with multiple backends☆31Updated 5 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Quantitative Developer/Strategist/Researcher Roles☆34Updated last year
- Algorithmic trading using heterogeneous graph neural network and reinforcement learning, pre-alpha☆27Updated 11 months ago
- This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2…☆80Updated last year
- Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method☆37Updated 4 years ago
- Google Stock Price Prediction Using RNN - LSTM☆14Updated 5 years ago
- Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. NeurIPS Robust AI in Financial Services 2019.☆34Updated 4 years ago
- Hedging unsing Deep Reinforcement Learning and Deep Learning☆25Updated 4 years ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆68Updated 11 months ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆60Updated 5 years ago
- stock prediction with GAN and WGAN☆101Updated 2 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆28Updated last month
- ☆13Updated 6 years ago