# bbfamily/abu > Abu is an open-source Python quantitative trading framework: it analyzes stocks, futures, options and crypto using ML, technical patterns (candlesticks, Elliott waves, Chan theory, harmonic patterns) and strategy backtesting. - Magnitude: 2.0 out of 10 — Steady - Stars: 18,759 total · +17 stars on 2026-10-01 (UTC), ≈ 29 by evening - Star trust: star growth looks organic - Category: Finance & crypto · Language: Python · License: GPL-3.0 · Created: 2016-09-19 · Last push: 2026-01-24 - GitHub: https://github.com/bbfamily/abu · Homepage: http://www.abuquant.com/ · Page: https://gitnova.dev/en/r/bbfamily/abu ## Useful for - Develop and backtest a buy/sell timing strategy on historical data - Configure stop-loss and take-profit for risk management in backtesting - Compare signals across markets (A-shares, US, HK, futures, Bitcoin) in one framework ## Why it’s here - 17 stars so far today, about 29 expected by the end of the day. The usual pace is 11 per day, so that's 2.8× as much. - Over the last two days the pace is 2.3× that of the previous week and a half. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 4,737 - Issues and pull requests: 9 - Watchers: 792 - Average over the last week: 12 per day - Usual pace: 11 per day - Latest release: 1.3.0 (2019-06-20) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-10-06 … 2026-11-04: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None ## Magnitude by day, last 12 days 09-20 1.5, 09-21 1.7, 09-22 1.5, 09-23 1.1, 09-24 1.3, 09-25 1.2, 09-26 1.3, 09-27 1.6, 09-28 1.5, 09-29 1.4, 09-30 1.5, 10-01 2.0 --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-10-01 11:14 UTC, updated every 30 minutes.