This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", published in IEEE Transactions on Singal Processing. We use FI-2010 dataset and present how model architecture is constructed here. The FI-2010 is publicly avilable and interested readers can check out their paper.
☆552Jul 15, 2021Updated 4 years ago
Alternatives and similar repositories for DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books
Users that are interested in DeepLOB-Deep-Convolutional-Neural-Networks-for-Limit-Order-Books are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆209Mar 29, 2023Updated 3 years ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆91Mar 12, 2021Updated 5 years ago
- Transformers for limit order books☆121Aug 9, 2020Updated 5 years ago
- Benchmark Dataset of Limit Order Book in China Markets☆216Mar 23, 2021Updated 5 years ago
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆60Apr 6, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.☆222May 31, 2024Updated last year
- Limit Order Book data analysis and modeling using LSTM network☆137Mar 27, 2019Updated 7 years ago
- Implementation of various deep learning models for limit order book. DeepLOB (Zhang et al., 2018), TransLOB (Wallbridge, 2020), DeepFolio…☆148Dec 11, 2022Updated 3 years ago
- Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.☆256Apr 12, 2022Updated 3 years ago
- Deep learning modelling of orderbooks☆101Oct 8, 2020Updated 5 years ago
- This repo contains my reimplementation and improvement of DeepLOB model.☆32Apr 22, 2021Updated 4 years ago
- Pytorch implementation of TransLOB from Transformer for limit order books☆29May 25, 2023Updated 2 years ago
- Deep learning for limit order book trading and mid-price movement☆55Oct 20, 2020Updated 5 years ago
- This notebook contains an independently developed Keras/Tensorflow implementation of the CNN-LSTM model for Limit Order Book forecasting …☆38Oct 18, 2020Updated 5 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Transformers for limit order books☆13Jul 25, 2021Updated 4 years ago
- This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (…☆265Mar 19, 2026Updated last week
- LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈☆119May 9, 2024Updated last year
- This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.o…☆605Mar 19, 2026Updated last week
- DeepLOB Implementation on Bitcoin Perpetual Data☆29Aug 7, 2023Updated 2 years ago
- Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Ti…☆2,244Aug 27, 2022Updated 3 years ago
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading☆138Mar 16, 2026Updated last week
- Deep Reinforcement Learning toolkit: record and replay cryptocurrency limit order book data & train a DDQN agent☆947Jan 12, 2022Updated 4 years ago
- Limit Orderbook CNN model implementation for ETH-BTC (buy-low-sell-high indicator)☆17Mar 20, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- The Short-Term Predictability of Returns in Order Book Markets: A Deep Learning Perspective.☆60Sep 4, 2023Updated 2 years ago
- Avellaneda-Stoikov HFT market making algorithm implementation☆658Jul 6, 2023Updated 2 years ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆46Jan 9, 2025Updated last year
- Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.☆1,045Dec 18, 2024Updated last year
- High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques☆568Sep 20, 2022Updated 3 years ago
- We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.☆79Nov 23, 2023Updated 2 years ago
- I use the random forest algorithm to forecast mid price dynamic over short time horizon i.e. a few seconds ahead☆31Apr 30, 2020Updated 5 years ago
- High Frequency Analysis Based On Level-2 Data(Limit Order Book& Transaction Data)☆117May 20, 2024Updated last year
- trend / momentum and other patterns in financial timeseries☆282Jun 27, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- This is the repository for the Models of Sequence Data 2020 Edition for the project DeepFolio☆16Dec 17, 2020Updated 5 years ago
- ☆143Dec 8, 2022Updated 3 years ago
- ☆443Jan 10, 2021Updated 5 years ago
- Pytorch implementation of DeepLOB-ATT and DeepLOB-Seq2Seq from Multi Horizon Forecasting for Limit Order Books☆14Feb 4, 2023Updated 3 years ago
- 🚂💨 Deep Momentum Networks for Time Series Strategies☆130Apr 26, 2020Updated 5 years ago
- Limit Order Book for high-frequency trading (HFT), as described by WK Selph, implemented in Python3 and C☆1,328Nov 13, 2024Updated last year
- X-Trend: Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies☆87Feb 25, 2024Updated 2 years ago