Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets
☆37May 5, 2024Updated 2 years ago
Alternatives and similar repositories for forecast-of-time-series-with-stock-data
Users that are interested in forecast-of-time-series-with-stock-data are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Ne…☆23Apr 29, 2021Updated 5 years ago
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆14Jul 1, 2022Updated 3 years ago
- The implementation of “Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns”☆11Nov 27, 2024Updated last year
- Used for study of company. 用于公司研究, 包括公司财报分析, 公司估值等, 使用了python的编译器ply的lexer,yacc来处理非结构化数据,采用神经网络来预测市场趋势.☆15Dec 8, 2022Updated 3 years ago
- Randomly partitions time series segments into train, development, and test sets; Trains multiple models optimizing parameters for develo…☆11Apr 18, 2020Updated 6 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.
- Seasonal AutoRegressive Integrated Moving Averages with eXogenous regressors model☆16Jul 3, 2018Updated 7 years ago
- Applying of Machine Learning Techniques to Combine String-based, Language-based and Structure-based Similarity Measures for Ontology Matc…☆14Apr 24, 2020Updated 6 years ago
- A Hybrid Method of Exponential Smoothing and Recurrent Neural Networks for Multivariate Time Series Forecasting☆13Oct 25, 2022Updated 3 years ago
- Python package for simulating Intra-day orderflow in a limit order book. Uses PyLOB (https://github.com/ab24v07/PyLOB)☆19May 21, 2013Updated 13 years ago
- ☆11Jul 13, 2021Updated 4 years ago
- Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.☆17Oct 17, 2018Updated 7 years ago
- The goal of this project was to predict stock market prices using a recurrent neural network. This project was inspired by the Standford …☆13Jul 5, 2023Updated 2 years ago
- This repository contains solution for prediction of stock price returns☆14Sep 28, 2019Updated 6 years ago
- We predict stock price with K-means clustering and support vector machine☆17Feb 22, 2019Updated 7 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.
- A repository for my postgraduate course-work☆10Dec 11, 2020Updated 5 years ago
- Spitzers Architecture School Urban Lab for Unit 26. This repository explores designing and codifying urban systems from the bottom up in …☆14Mar 29, 2022Updated 4 years ago
- ☆13Oct 27, 2025Updated 7 months ago
- ☆18Dec 17, 2023Updated 2 years ago
- 利用强化学习预测股价变化☆22May 25, 2017Updated 9 years ago
- Financial Dividend Investing Dashboard Build in Python with Solara☆18Mar 3, 2024Updated 2 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
- ☆13Jun 24, 2024Updated last year
- Contrastive Multi-granularity Learning for Stock Trend Prediction☆25May 27, 2021Updated 5 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 repository to introduce the algorithmic information theory. You could learn what is Kolmogorov complexity and why it is important here.☆13Jul 23, 2025Updated 10 months ago
- PyTorch implementation of LSTM-FCN model for univariate time series classification.☆29Apr 15, 2024Updated 2 years ago
- Time Series analysis with Python and ARIMA model to forecast Bitcoin price☆24Sep 5, 2018Updated 7 years ago
- Finanças Quantitativas com Python: Calculando a expectativa de retorno com CAPM, Calculando o Beta de um Ação, Calculando o Índice de S…☆20Jan 25, 2022Updated 4 years ago
- PyTorch implementation of the paper-"Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network"☆12Mar 19, 2024Updated 2 years ago
- GRU-FCN model for univariate time series classification☆25Jun 8, 2019Updated 6 years ago
- Semi-Supervised End-to-End Contrastive Learning for Time Series Classification☆29Jun 1, 2023Updated 2 years ago
- Stationarity check using the Augmented Dickey-Fuller test from Scratch in Python☆16May 29, 2021Updated 5 years ago
- A resume template written in typst, designed for zh_CN.☆13Mar 3, 2025Updated last year
- 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.
- Deep Learning + Time Series Analysis☆27Apr 1, 2019Updated 7 years ago
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis☆36Apr 28, 2019Updated 7 years ago
- My study note for mlsys☆14Nov 4, 2024Updated last year
- ForeCA: Forecastable Component Analysis in R☆16Jul 3, 2020Updated 5 years ago
- In this repository, there are implementations of: Residual Hybrid Systems; performance metrics; methods that can help the development of…☆29Jun 22, 2022Updated 3 years ago
- Tutorial on time-series forcasting with scikit-learn☆33Mar 14, 2023Updated 3 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…☆49Jan 18, 2025Updated last year