Zymrael / wattnet-fx-trading
WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
☆73Updated 4 years ago
Alternatives and similar repositories for wattnet-fx-trading:
Users that are interested in wattnet-fx-trading are comparing it to the libraries listed below
- WaveNet model applied to intra-day Bitcoin exchange forcasting☆54Updated 6 years ago
- Financial time series forecast using dual attention RNN☆26Updated 6 years ago
- ☆40Updated 10 months ago
- MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)☆93Updated 4 years ago
- Neural Time Series Analysis☆14Updated 2 years ago
- A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series☆72Updated 6 years ago
- Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971☆60Updated 2 years ago
- Time series prediction using dilated causal convolutional neural nets (temporal CNN)☆236Updated 2 years ago
- A simple implementation of the WaveNet model for time series forecasting☆26Updated 6 years ago
- Stock prediction thru TFT☆37Updated 3 years ago
- Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-40…☆56Updated 5 years ago
- My blog.☆78Updated 6 months ago
- implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)☆78Updated 2 years ago
- This repository contains code for the paper: https://arxiv.org/abs/1905.03806. It also contains scripts to reproduce the results in the p…☆168Updated 4 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
- ☆29Updated 5 years ago
- Deep Learning + Time Series Analysis☆27Updated 5 years ago
- Python 3.6+ (only)☆112Updated 5 years ago
- Transformer and MultiTransformer layers for stock volatility forecasting purposes☆65Updated 3 years ago
- Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data☆41Updated 4 years ago
- Attempt to replicate: A deep learning framework for financial time series using stacked autoencoders and long- short term memory☆89Updated 2 years ago
- Pytorch implementation of Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction https://arxiv.org/pdf/1704.02971…☆37Updated 5 years ago
- Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series (AAAI'20)☆47Updated 3 years ago
- Stock Market Prediction Using Unsupervised Features☆53Updated 6 years ago
- A place to implement state of the art deep learning methods for temporal modelling using python and MXNet.☆65Updated 5 years ago
- Deep Adaptive Input Normalization for Time Series Forecasting☆127Updated 3 years ago
- Necessary code to reproduce the experiment in "Mitigating Overfitting with Generative Adversarial Networks"☆37Updated last year
- Materials for blogs and conferences☆67Updated 3 years ago
- ☆62Updated 4 years ago
- Probabilistic and Directional Relu Wavenet with forex and economic news data☆25Updated 4 years ago