# scrtlabs/catalyst

An Algorithmic Trading Library for Crypto-Assets in Python

Repository: https://github.com/scrtlabs/catalyst
Canonical: https://ross.abutalabs.com/products/scrtlabs-catalyst
Homepage: http://enigma.co
Language: Python
License: Apache-2.0
License Family: permissive
Topics: cryptocurrency, trading, algorithmic-trading, cryptocurrencies
Archived: true
Last push: 2022-11-26T14:07:55+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3368, "days_push": 1376, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2560, forks 708 (observed 2026-08-28T04:07:00.918343+00:00)

## What it is
Catalyst is a Python algorithmic trading library for crypto-assets, built as an extension of Quantopian's Zipline. It supports backtesting strategies against historical daily and minute data and live trading on exchanges like Binance, Bitfinex, Bittrex, and Poloniex.

## Use cases
- backtest crypto trading strategies in python
- algorithmic trading library for cryptocurrencies
- live trade bitcoin on binance from python
- analyze performance of a crypto trading strategy
- zipline-like framework for crypto-assets
- test trading algorithms against historical crypto price data

## When to choose
- you want a Zipline-compatible API adapted for crypto-assets
- you need both backtesting and live trading with a seamless transition
- you want pandas-based performance analytics for trading strategies

## When to avoid
- you need an actively maintained project - it has been unmaintained since end of 2018
- you need exchanges beyond Binance, Bitfinex, Bittrex, or Poloniex
- you prefer a modern framework with current Python version support

## Facets
- artifact type: library
- maturity: abandoned
- function: trading, benchmarking, data-science
- domain: fintech, machine-learning
- platform: python, cross-platform
- tags: algorithmic-trading, backtesting, crypto-exchanges, zipline-fork, live-trading, deprecated, cryptocurrency

## Member repositories
- scrtlabs/catalyst (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:00.918343+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:23:31.632775+00:00, confidence not recorded.
  - readme: https://github.com/scrtlabs/catalyst (fetched 2026-08-28T04:07:00.918343+00:00, sha a53692d558be)
- Data as of 2026-08-30T08:39:29.467469+00:00.