A first look into several time series datasets from quandl (namely top tech companies stock close prices) and an attempt to find patterns in such series using de-noising and data compression via variational autoencoders. Exploring the possibility of clustering/creating classes using GMM akin to the MNIST dataset.
☆16Mar 24, 2018Updated 8 years ago
Alternatives and similar repositories for TimeSeriesPatterns
Users that are interested in TimeSeriesPatterns 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 simply framework of researching stock data through LSTM by Tensorflow☆18Mar 4, 2019Updated 7 years ago
- NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.☆20Jun 20, 2017Updated 8 years ago
- Multidimensional Time Series Anomaly Detection☆27Jan 10, 2018Updated 8 years ago
- ☆11Oct 24, 2025Updated 6 months ago
- (Semester 4) Mathematics for Intelligent Systems - End Semester Project☆14Apr 10, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- 📈 如何用深度强化学习自动炒股☆13Mar 31, 2020Updated 6 years ago
- Empirical asset pricing via Machine Learning in the Korean market☆48Mar 1, 2024Updated 2 years ago
- 针对一维时间序列数据，采用GMM和K-Means算法进行异常点检测。For one-dimensional time series data, GMM and K-means algorithm are used to detect outliers.☆11Jan 16, 2021Updated 5 years ago
- Detection of abnormal patterns in electricity usage via time series forecasting☆11Apr 15, 2018Updated 8 years ago
- Many companies are utilizing the cloud for their day to day activities. Many big cloud service providers like AWS, Microsoft Azure have b…☆11Nov 13, 2022Updated 3 years ago
- The quantitative investing strategies called 'TIPP' and 'CPPI'☆11Nov 8, 2020Updated 5 years ago
- 【Framework】A Multi Factor Strategy based on XGboost, its my homework project in Tsinghua, the Introduction to Quantitative Finance, 2019 …☆18Dec 17, 2022Updated 3 years ago
- Visualising stock price predictions for several Machine Learning models using DASH, Python☆16Jul 28, 2022Updated 3 years ago
- Fundamental Factor Model based on Bloomberg☆11Mar 30, 2017Updated 9 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Market Risk Management with Time Series Prediction of Stock Market Trends using ARMA, ARIMA, GARCH regression models and RNN for time ser…☆23Aug 12, 2017Updated 8 years ago
- A collection of resources related to OTT and streaming.☆11Oct 15, 2019Updated 6 years ago
- Financial time series forecast using dual attention RNN☆27Jan 27, 2019Updated 7 years ago
- quant framework 本地量化交易策略框架☆53Jun 4, 2023Updated 2 years ago
- Firstly, multiple effective factors are discovered through IC value, IR value, and correlation analysis and back-testing. Then, XGBoost c…☆21Aug 4, 2020Updated 5 years ago
- Stock risk premium prediction via FM/ EXT/ GBDT/ XGB/LBGM. Mengxuan Chen's graduation thesis at WHU.☆15Dec 15, 2019Updated 6 years ago
- An Empirical Study of Optimal Combination of Algorithms for Prediction-Based Portfolio Optimization Model using Machine Learning over Co…☆11Jun 15, 2022Updated 3 years ago
- 多因子打分选股☆13Jan 12, 2022Updated 4 years ago
- ☆28May 3, 2022Updated 4 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.
- Coursera's Statistical Inference Data Science course☆10Feb 4, 2015Updated 11 years ago
- Implementation of MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern☆16Feb 21, 2021Updated 5 years ago
- ☆11Apr 7, 2020Updated 6 years ago
- 分享量化投资相关的论文，代码和代码复现。☆90Apr 14, 2023Updated 3 years ago
- ☆11Aug 5, 2015Updated 10 years ago
- An economic forecasting model based on Factor Augmented VAR (FAVAR). The FAVAR approach is superior than classic VAR as it incorporates a…☆16Dec 30, 2020Updated 5 years ago
- 用SVM构建高频交易策略☆13Oct 21, 2019Updated 6 years ago
- Extended Wikilinks dataset description☆15Apr 1, 2018Updated 8 years ago
- 复现华泰证券《强化学习初探与DQN择时》研报中的DQN模型与效果☆42Oct 4, 2022Updated 3 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.
- Tracking S&P 500 index with deep learning model☆14Jul 2, 2023Updated 2 years ago
- RobinHood Day-Trading Bot☆16Mar 11, 2018Updated 8 years ago
- Factorization Machines for Julia☆11Aug 26, 2016Updated 9 years ago
- Using time series analysis and natural language processing to predict Tesla stock price changes☆19Dec 27, 2017Updated 8 years ago
- ☆14Jul 1, 2017Updated 8 years ago
- Test your basic skills as full stack developer!☆13Apr 26, 2017Updated 9 years ago
- Export trades from Robinhood and run basic reporting on portfolio performance☆19Jan 20, 2019Updated 7 years ago