Reinforcement Learning framework to make synthetic experiments in the financial domain
☆23Jul 18, 2023Updated 2 years ago
Alternatives and similar repositories for Deep-Reinforcement-Trading-with-Predictable-Returns
Users that are interested in Deep-Reinforcement-Trading-with-Predictable-Returns are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Julia package for manipulation of univariate piecewise quadratic functions.☆20Jul 19, 2021Updated 4 years ago
- ☆15Jan 11, 2021Updated 5 years ago
- Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series☆14Aug 12, 2024Updated last year
- FInancial REinforcement learning☆30May 3, 2023Updated 3 years ago
- Code for NeurIPS2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints"☆13Aug 30, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆32Jul 16, 2020Updated 5 years ago
- Deep direct reinforcement learning for financial signal representation and trading☆31Oct 7, 2020Updated 5 years ago
- ☆74Oct 29, 2020Updated 5 years ago
- This repository is for the code of paper "Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to …☆20Sep 24, 2024Updated last year
- ☆18May 25, 2023Updated 2 years ago
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆214Nov 24, 2021Updated 4 years ago
- pytorch implementation of "S3NET: GRAPH REPRESENTATIONAL NETWORK FOR SKETCH RECOGNITION"☆10Oct 6, 2020Updated 5 years ago
- ☆15Aug 8, 2021Updated 4 years ago
- ☆56Jul 15, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A Deep Reinforcement Learning Framework for Stock Market Trading☆189Oct 9, 2021Updated 4 years ago
- ☆18Feb 7, 2021Updated 5 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆24Feb 15, 2023Updated 3 years ago
- Training and evaluation of Deep Reinforcement Learning cruptocurrency trading agent.☆21Jun 6, 2022Updated 3 years ago
- A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.☆30Jul 19, 2021Updated 4 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆108Sep 12, 2019Updated 6 years ago
- Mean-Variance Portfolio Optimisation and Algorithmic Trading Strategies in MATLAB☆37Apr 4, 2021Updated 5 years ago
- Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books☆14Feb 4, 2023Updated 3 years ago
- Deep Reinforcement Learning for Portfolio Optimization☆131Apr 17, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆100Mar 15, 2024Updated 2 years ago
- Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierar…☆133Aug 31, 2023Updated 2 years ago
- ☆11Oct 6, 2020Updated 5 years ago
- QUANT: A Minimalist Interval Method for Time Series Classification☆24Mar 11, 2025Updated last year
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆26Jun 9, 2021Updated 4 years ago
- Save and load entire workspaces containins pandas objects and numpy arrays☆15Oct 5, 2018Updated 7 years ago
- Algorithmic trading using heterogeneous graph neural network and reinforcement learning, pre-alpha☆35Aug 12, 2024Updated last year
- Multi Strategy Trading Algorithm☆47Aug 30, 2017Updated 8 years ago
- https://arxiv.org/abs/2006.04992☆19Jun 17, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Smart, automatic detection and stationarization of non-stationary time series data.☆29Aug 7, 2022Updated 3 years ago
- ☆11Mar 25, 2023Updated 3 years ago
- ☆31Aug 13, 2022Updated 3 years ago
- ☆57Oct 29, 2021Updated 4 years ago
- Jiahao Li, Yong Zhang, Xingyu Yang, and Liangwei Chen. "Online portfolio management via deep reinforcement learning with high-frequency d…☆25Jul 8, 2023Updated 2 years ago
- Graphical Models in Heavy-Tailed Markets (NeurIPS 2021)☆40May 28, 2023Updated 2 years ago
- ☆16Feb 7, 2021Updated 5 years ago