Multi-scale Two-way Deep Neural Network
☆43Oct 22, 2020Updated 5 years ago
Alternatives and similar repositories for MTDNN
Users that are interested in MTDNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks☆136Apr 20, 2022Updated 4 years ago
- Experiments in Recurrent Highway Networks with Grouped Auxiliary Memory paper☆21Dec 15, 2019Updated 6 years ago
- Look Ahead Factor models for quantitative investing using deep learning and uncertainty quantification☆10Jun 25, 2020Updated 6 years ago
- ☆54Apr 2, 2022Updated 4 years ago
- ☆53Jul 30, 2020Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019☆188Sep 7, 2019Updated 7 years ago
- ☆19May 22, 2021Updated 5 years ago
- Open code for PriceGraph☆74May 5, 2024Updated 2 years ago
- ☆14Aug 5, 2020Updated 6 years ago
- ☆13Aug 24, 2016Updated 10 years ago
- This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", publis…☆607Jul 15, 2021Updated 5 years ago
- Exploring actor critic deep reinforcement learning methods for maximizing profits by learning stock trading strategies☆11Mar 24, 2023Updated 3 years ago
- Vpin caculation and backtesting☆14Aug 16, 2019Updated 7 years ago
- Deep learning for price movement prediction using high frequency limit order data☆38Oct 8, 2018Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- The source code and data of the paper "HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Infor…☆304Jan 13, 2023Updated 3 years ago
- HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction☆170Dec 2, 2019Updated 6 years ago
- OCET, torch, transformers, DeepLOB,limit-order-books☆10Dec 6, 2022Updated 3 years ago
- Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction-Dataset☆22Aug 19, 2018Updated 8 years ago
- ☆41Nov 2, 2021Updated 4 years ago
- ☆23Nov 27, 2024Updated last year
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆96Mar 12, 2021Updated 5 years ago
- Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction☆63Jan 5, 2024Updated 2 years ago
- 这个项目使用tushare中所有的财经快讯新闻(2018年至今)训练了tfhub中预训练模型bert-base-chinese模型,使之更加符合中文的财经新闻语境。☆12Dec 9, 2022Updated 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.
- This is the repository for the Models of Sequence Data 2020 Edition for the project DeepFolio☆16Dec 17, 2020Updated 5 years ago
- Transformers for limit order books☆125Aug 9, 2020Updated 6 years ago
- Code for paper "Temporal Relational Ranking for Stock Prediction"☆528Mar 4, 2021Updated 5 years ago
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis☆36Apr 28, 2019Updated 7 years ago
- The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on t…☆117Dec 25, 2024Updated last year
- Optimistic Bull or Pessimistic Bear: Adaptive Deep Reinforcement Learning for Stock Portfolio Allocation☆38Jun 11, 2019Updated 7 years ago
- ☆12Jun 17, 2022Updated 4 years ago
- Hierarchical Risk Parity☆29Feb 26, 2020Updated 6 years ago
- Deep learning for limit order book trading and mid-price movement☆54Oct 20, 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.
- ☆26Dec 9, 2019Updated 6 years ago
- A Framework for Multimodal Parsing, Contextual Narration, and Hierarchical Labeling of ESG Reports☆17Nov 14, 2025Updated 10 months ago
- Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction☆53Jul 20, 2021Updated 5 years ago
- ☆40Jun 13, 2023Updated 3 years ago
- Alpha model skeletons & examples☆12Nov 8, 2023Updated 2 years ago
- Implementation of Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts☆35May 1, 2022Updated 4 years ago
- MASA: Developing A Multi-Agent and Self-Adaptive Framework with Deep Reinforcement Learning for Dynamic Portfolio Risk Management.☆53Oct 19, 2024Updated last year