# kieran-mackle/AutoTrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

Repository: https://github.com/kieran-mackle/AutoTrader
Canonical: https://ross.abutalabs.com/products/autotrader
Homepage: https://kieran-mackle.github.io/AutoTrader/
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: algorithmic-trading, algo-trading, forex, crypto, stocks, finance, investing, trading, trading-strategies, trading-bot, trading-platform, oanda, trading-algorithms, python, quantitative-finance, quantitative-trading, technical-analysis, autotrader
Archived: true
Last push: 2025-05-04T01:25:29+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 19, release rhythm 35, longevity 100
- inputs: {"age_days": 1879, "days_push": 487, "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 1269, forks 299 (observed 2026-08-28T04:04:11.686631+00:00)

## What it is
AutoTrader is a Python-based platform for developing, backtesting, optimising and deploying automated trading systems across forex, crypto and stocks. It provides a virtual broker simulator, integrated data feeds, custom indicators, interactive Bokeh visualisation and live-trading deployment via brokers like Oanda and CCXT exchanges.

## Use cases
- backtest a trading strategy on historical OHLC data
- optimise strategy parameters with SciPy
- deploy a backtested strategy to live trading on Oanda or crypto exchanges
- paper trade a strategy in a risk-free simulated environment
- build a market scanner with email notifications
- visualise backtest and live trade performance interactively
- download and stream price data from major financial APIs

## When to choose
- you want an end-to-end Python framework covering backtesting through live trading
- you trade forex, crypto or stocks and want broker integrations like Oanda or CCXT
- you need event-driven multi-bot backtesting with a virtual broker

## When to avoid
- you need actively maintained software - the project is archived and no longer maintained
- you want a no-code or GUI-only trading bot
- you need a high-frequency or low-latency trading system

## Facets
- artifact type: framework
- maturity: abandoned
- function: trading, simulation, data-science, data-visualization, scheduling
- domain: fintech, data-science
- platform: python, cli, cross-platform
- tags: algorithmic-trading, backtesting, trading-bot, quantitative-finance, technical-analysis, oanda, ccxt, forex, crypto, stocks, papertrading, strategy-optimisation, cryptocurrency, automation

## Member repositories
- kieran-mackle/AutoTrader (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:11.686631+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 2026-08-30T05:03:32.087000+00:00, confidence not recorded.
  - readme: https://github.com/kieran-mackle/AutoTrader (fetched 2026-08-28T04:04:11.686631+00:00, sha bf1e731ddf88)
  - homepage: https://kieran-mackle.github.io/AutoTrader/ (fetched 2026-08-29T12:15:11.983055+00:00, sha 770378590a1a)
  - registry_pypi: https://pypi.org/pypi/autotrader/json (fetched 2026-08-29T12:15:11.986532+00:00, sha a3fd8bb10025)
- Data as of 2026-08-30T08:39:29.467469+00:00.