MeriamAffes / Forecasting-time-series-using-RL
we implemented a model to predict the market price of a nonlinear chaotic time series,using reinforcement learning
☆17Updated 6 years ago
Alternatives and similar repositories for Forecasting-time-series-using-RL:
Users that are interested in Forecasting-time-series-using-RL are comparing it to the libraries listed below
- Time series forecasting via deep reinforcement learning☆52Updated 4 years ago
- Attempts to learn reinforcement learning on the stock market☆23Updated 6 years ago
- A method to search for a subset of best performing items wrt black-box reward function☆12Updated 5 years ago
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆36Updated 5 years ago
- Financial time series forecast using dual attention RNN☆27Updated 6 years ago
- Deep RL for portfolio management☆12Updated 6 years ago
- A Tensorflow Implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆14Updated 5 years ago
- Any Stream to Reinforcement Learning Environment (Time Series Data, Stock Market )☆12Updated 6 years ago
- (Work In Progress) Implementation of "Financial Time Series Prediction Using Deep Learning"☆16Updated 7 years ago
- Final Thesis at Fudan University, built a trading strategy on Bitcoin market using recurrent reinforcement learning☆28Updated 6 years ago
- KurochkinAlexey / Hierarchical-Attention-Based-Recurrent-Highway-Networks-for-Time-Series-PredictionPytorch implementation of Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction https://arxiv.org/abs/1806.0…☆64Updated 5 years ago
- Build DDPG models and test on stock market☆22Updated 6 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆16Updated 6 years ago
- ☆19Updated 4 years ago
- A CNN + Auto-Encoder Approach for Predicting Financial Time-Series☆12Updated 5 years ago
- Neural Time Series Analysis☆14Updated 2 years ago
- reinforcement learning project for crypto portfolio management☆9Updated 6 years ago
- A Deep Reinforcement Learning model for high volume and frequency Forex Portfolio Management☆11Updated 2 years ago
- LSTM for time series forecasting☆28Updated 7 years ago
- Time-series analysis using restricted Boltzmann machines and dynamic Bayesian networks☆12Updated last year
- ☆14Updated 6 years ago
- Code from the paper "Robust technical trading strategies using GP for algorithmic portfolio selection"☆9Updated 5 years ago
- ☆10Updated 5 years ago
- Implement the model of Halperin and Feldshteyn for DJIA and SP500☆10Updated 6 years ago
- Stock Market Prediction on High-Frequency Data Using soft computing based AI models☆20Updated 8 months ago
- Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"☆19Updated 4 years ago
- Applications of Gaussian Process Latent Variable Models in Finance☆11Updated 2 years ago
- Repository for Machine Learning and Deep Learning Models for Multivariate Time Series Forecasting☆19Updated 5 years ago
- Hybrid Time Series using LSTM and Kalman Filtering☆43Updated 2 years ago
- Applying Reinforcement learning models for stock price predictions☆25Updated 6 years ago