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High-Frequency-Trading-Model-with-IB

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

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Overview

A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python

Topics & capabilities

machine-learningresearch-papersgithub

Repository information

Repository
jamesmawm/High-Frequency-Trading-Model-with-IB ↗
Repository owner
jamesmawm
Primary language
Python
Repository code license
MIT ↗
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
2,933
Forks
680
Default branch
master
Last repository push
May 29, 2025
Latest release
v3.0 ↗
Release published
Jun 19, 2019

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

Explore related resources

Screenshot unavailableResource information and source links remain available. interactive brokers | ibkr — reviewed source website screenshot
WebsiteChecked capture

interactive brokers | ibkr

interactivebrokers.com

Global broker offering API access plus a paper-trading account for strategy simulation.

Page language
en
Directory citations
2
Discovery sources
3
fintechwealth-management-investingexchange
98 Authority 98 / 100 Cited by 2 resources in this directory 3 discovery sources Directory record updated: 2026-10-11 How scoring works →

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