jamesmawm/High-Frequency-Trading-Model-with-IB
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python observed · 2026-08-28
Health v2 · maintenance only
34/100
- Activity 24
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4490
- days_rel: n/a
- days_push: 461
- n_releases_24m: 0
Adoption not part of the score
2919 stars · 678 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python trading model that implements pairs trading and mean-reversion strategies on high-frequency data via the Interactive Brokers API. It runs from the console or headless in Docker and connects to IB Trader Workstation using the ib_insync library.
Use cases
- run a pairs trading strategy on Interactive Brokers
- backtest mean-reversion on high-frequency market data
- automate trades through the IB TWS API
- deploy trading algos headless in Docker
- learn algorithmic trading with a working IB example
When to choose
- you have an Interactive Brokers paper or live account and want a ready-made pairs/mean-reversion model
- you want a simple, MIT-licensed Python reference for trading via ib_insync
- you need to run trading instances remotely in Docker
When to avoid
- you need a production-grade, actively maintained HFT system - the codebase is dated and the author notes it may not work as intended
- you trade through brokers other than Interactive Brokers
- you need true low-latency high-frequency execution - this is a basic model, not real HFT infrastructure
Facets
application · maturity maintenance
trading workflow-automation developer-tools fintech python cross-platform interactive-brokers pairs-trading mean-reversion algorithmic-trading ib-insync high-frequency-trading trading automation docker
1 source
- readme: https://github.com/jamesmawm/High-Frequency-Trading-Model-with-IB · fetched 2026-08-28 · 8fba43fab5e1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jamesmawm/High-Frequency-Trading-Model-with-IB | main | 34 |
For agents
markdown · JSON · MCP: product_card(name="jamesmawm/High-Frequency-Trading-Model-with-IB")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem