This repository is for the code of paper "Automated Cryptocurrency Trading Approach Using Ensemble Deep Reinforcement Learning: Learn to Understand Candlesticks"
☆20Sep 24, 2024Updated last year
Alternatives and similar repositories for drl-candlesticks-trader
Users that are interested in drl-candlesticks-trader are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network☆15Feb 25, 2025Updated last year
- ☆15Jan 11, 2021Updated 5 years ago
- The official implementation of the paper "MTMD: Multi-Scale Temporal Memory Learning and Efficient Debiasing Framework for Stock Trend Fo…☆34Feb 28, 2025Updated last year
- A paper replication project for Time-driven feature-aware jointly deep reinforcement learning☆11Mar 12, 2021Updated 5 years ago
- ☆32Jul 16, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for PROFIT: Quantitative Day Trading From Natural Language Using Reinforcement Learning at NAACL 2021☆28Jul 9, 2021Updated 4 years ago
- ☆11Mar 25, 2023Updated 3 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
- Official implementation of Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Reweighting☆16Feb 14, 2024Updated 2 years ago
- Code to support my Master's thesis☆22Sep 10, 2023Updated 2 years ago
- ☆17May 25, 2023Updated 3 years ago
- Original code for the paper "Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping" by Mezghani et al.☆18Jun 8, 2023Updated 2 years ago
- Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies☆11Mar 24, 2023Updated 3 years ago
- Code for NeurIPS 2022 paper "Robust offline Reinforcement Learning via Conservative Smoothing"☆24Feb 15, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆14Jul 1, 2022Updated 3 years ago
- Automatic Fibonacci extensions/retracements for Machine Learning of price☆21Nov 21, 2024Updated last year
- This project provides the source code of the paper "Cost-Sensitive Portfolio Selection via Deep Reinforcement Learning (IEEE TKDE 2020)".☆17Jun 30, 2020Updated 5 years ago
- Apply Box&Tiao to generate stationary price spread series in steel industry commodity futures market for pair trading☆14Dec 11, 2022Updated 3 years ago
- Testing and implementation of ML algorithms for the analysis of cryptocurrency trends.☆11Feb 20, 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…☆132Aug 31, 2023Updated 2 years ago
- a wavelet-based multifractal image analysis tool implementing the WTMM (Wavelet Transform Modulus Maxima) method.☆11Feb 1, 2020Updated 6 years ago
- Reinforcement Learning based trading bot (Open AI Gym, Stable Baselines)☆11Mar 24, 2023Updated 3 years ago
- Deep direct reinforcement learning for financial signal representation and trading☆31Oct 7, 2020Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Sharpe ratio optimised decoder-only TFT based Momentum Transformer and LSTM Deep Momentum Network trading model using FinBERT breaking …☆25Mar 27, 2023Updated 3 years ago
- Authors' PyTorch implementation of 'Recomposing the Reinforcement Learning Building-Blocks with Hypernetworks' (HypeRL)☆26Jun 9, 2021Updated 4 years ago
- Quantitative trading research infrastructure for AI Agents - backtest, sweep, radar, deploy☆86Mar 5, 2026Updated 2 months ago
- ☆25May 1, 2025Updated last year
- Pytorch implementation of BIN-TABL from Data Normalization for Bilinear Structures in HF Financial Time-series☆14Aug 12, 2024Updated last year
- Parameter Efficient Deep Probabilistic Forecasting☆14Jan 8, 2022Updated 4 years ago
- Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning☆12Jun 13, 2019Updated 6 years ago
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆10Jan 12, 2021Updated 5 years ago
- Financial time series forecasting with multi-modality graph neural network☆54Jan 14, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder☆13Aug 23, 2019Updated 6 years ago
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- ☆56Mar 14, 2021Updated 5 years ago
- A study on volume-price factor stock selection model based on wavelet transform and multitask self-attention network☆104May 16, 2025Updated last year
- Fractal Adaptive Moving Average☆28Mar 24, 2026Updated 2 months ago
- FInancial REinforcement learning☆30May 3, 2023Updated 3 years ago
- Python Code used in publications, for archival purposes only☆20Apr 28, 2023Updated 3 years ago