Advanced trend detection and labelling for time series with Python
☆26Apr 20, 2026Updated last month
Alternatives and similar repositories for tstrends
Users that are interested in tstrends are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Use hidden Markov models to label regimes on S&P 500 data, train three classifiers (naive Bayes, logistic regression, and support vector …☆16Feb 28, 2023Updated 3 years ago
- Code for paper Stock trading rule discovery with double deep Q-network☆14May 27, 2023Updated 2 years ago
- This is a non-official implementation of the trend labeling method proposed in the paper "A Labeling Method for Financial Time Series Pre…☆50Jan 18, 2025Updated last year
- Develop about 200 alpha factors from securities report etc, Grid Search/Random Search/Particle Swarm Optimization to improve factors perf…☆23Jul 29, 2018Updated 7 years ago
- Official Implementation of Stop-loss adjusted labels for machine learning-based trading of risky assets☆20Sep 29, 2023Updated 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 wavelet-based multifractal image analysis tool implementing the WTMM (Wavelet Transform Modulus Maxima) method.☆11Feb 1, 2020Updated 6 years ago
- RGCN model for real-time fraud detection☆11Jan 27, 2023Updated 3 years ago
- [Likelihood Lab Project 2024] Official Repository for The Technical Report, Label Unbalance in High-frequency Trading☆30Mar 20, 2025Updated last year
- Neural networks can detect model-free arbitrage static strategies☆17Jul 6, 2023Updated 2 years ago
- Machine learning trading method using meta-labeling. You can see the details in 'Advances in Financial Machine Learning' by Lopez de Prad…☆15Jul 20, 2021Updated 4 years ago
- In this work, the application of the Triple-Barrier Method and Meta-Labeling techniques are explored using XGBoost to develop a sentiment…☆23Feb 25, 2024Updated 2 years ago
- A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. 🔥☆12Mar 13, 2023Updated 3 years ago
- High Frequency Trading strategies.☆41Dec 16, 2023Updated 2 years ago
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆10Jan 12, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- high-frequency grid trading strategy backtesting for binance futures☆26Oct 13, 2022Updated 3 years ago
- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators☆10Dec 21, 2019Updated 6 years ago
- ☆15Jul 25, 2025Updated 10 months ago
- 通过遗传算法、强化学习来自动选择高频因子☆26Jan 5, 2023Updated 3 years ago
- CV Template made with TailwindCSS☆12Mar 3, 2022Updated 4 years ago
- Fraud detection using Graph Convolutional Networks☆13May 9, 2022Updated 4 years ago
- Algorithmic Trading Using Deep Reinforcement Learning algorithms (PPO and DQN)☆20Feb 13, 2026Updated 3 months ago
- machine learning trading system using random decision tree to train the technical indicators☆10Apr 11, 2017Updated 9 years ago
- Statistical Arbitrage & Algorithmic Trading: time series analysis and the presence of cointegration in cryptocurrency price series.☆11Jan 10, 2019Updated 7 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.
- ☆16Mar 14, 2024Updated 2 years ago
- Code base for the meta-labeling papers published with the Journal of Financial Data Science☆100Mar 10, 2023Updated 3 years ago
- QuantTraderDL combines quantitative finance and AI, using TFT models to forecast major indices (S&P 500, Nasdaq, IBEX 35, Dow Jones, EURO…☆21May 21, 2025Updated last year
- Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations☆12Sep 1, 2019Updated 6 years ago
- Enhance the gplearn package to support precise three-dimensional structured dimension genetic programming (GP), with a particular focus …☆36Aug 26, 2024Updated last year
- 多因子打分选股☆13Jan 12, 2022Updated 4 years ago
- Deep q learning on determining buy/sell signal and placing orders☆51May 21, 2019Updated 7 years ago
- This project is a collection of Jupyter notebooks and scientific papers that analyze Bitcoin markets using economical, financial and mach…☆17Mar 24, 2023Updated 3 years ago
- A QA RAG system that uses a custom chromadb to retrieve relevant passages and then uses an LLM to generate the answer.☆16Feb 28, 2024Updated 2 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.
- This is a sample repository demonstrate how to train and predict a custom model with Cognitive Service for Vision, using Python.☆16Apr 11, 2024Updated 2 years ago
- Implementation of EMNLP 2023 Findings: Improving Question Generation with Multi-level Content Planning☆18Nov 30, 2023Updated 2 years ago
- A paper replication project for Time-driven feature-aware jointly deep reinforcement learning☆11Mar 12, 2021Updated 5 years ago
- An emerging asset class, the recent surge of popularity in crypto markets has made cryptocurrencies an essential part of investment portf…☆12Jan 22, 2023Updated 3 years ago
- Python library with functions to compute early warning signals for tipping points on time-series.☆28Apr 18, 2025Updated last year
- ☆19Jan 5, 2021Updated 5 years ago
- ☆15Jan 11, 2021Updated 5 years ago