Ross ROSS = Recommend OSS · open-source software intelligence for agents

ranaroussi/qtpylib

QTPyLib, Pythonic Algorithmic Trading observed · 2026-08-28

github.com/ranaroussi/qtpylib · homepage · Python · Apache-2.0 (permissive) · archived observed · 2026-08-28

Health v2 · maintenance only

10/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases archived

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3667
  • days_rel: n/a
  • days_push: 1806
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2267 stars · 517 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

QTPyLib is an event-driven algorithmic trading library in Python supporting backtesting, paper, and live trading via Interactive Brokers. It captures tick/bar/trade market data into MySQL and uses ZeroMQ pub/sub to connect a central blotter with multiple running algos.

Use cases

  • backtest trading strategies in python
  • live trade with interactive brokers api
  • capture and store tick and bar market data
  • build event-driven algo trading bots
  • compute technical indicators in strategies
  • run multiple algos sharing one market data feed

When to choose

  • you trade through Interactive Brokers and want a Pythonic strategy framework
  • you need integrated backtesting plus live/paper trading in one library
  • you want market data persisted to a database for later analysis

When to avoid

  • you need crypto or forex broker integrations beyond Interactive Brokers
  • you require actively maintained software - the latest release is from 2021
  • you want a GUI-based trading platform rather than a code library

Facets

library · maturity maintenance

trading streaming database message-queue fintech python windows algo-trading interactive-brokers backtester event-driven zeromq talib market-data backtesting algorithmic-trading quantitative-finance data-engineering linux macos

3 sources

Member repositories

RepositoryRoleHealth v2
ranaroussi/qtpylibmain10

For agents

markdown · JSON · MCP: product_card(name="ranaroussi/qtpylib")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem