hoobnn/abu — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2026-05-01
Backtest a moving-average crossover strategy against years of historical price data.
Trade U.S. stocks, Chinese A-shares, or Bitcoin using pre-built technical indicators.
Optimize a trading strategy's parameters to find the historically best-performing combination.
Add stop-loss and take-profit rules to protect an automated strategy from large losses.
| hoobnn/abu | 0xallam/my-recipe | 0xhassaan/nn-from-scratch | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | Python | Python | Python |
| Last pushed | 2026-05-01 | 2022-11-22 | — |
| Maintenance | Maintained | Dormant | — |
| Setup difficulty | hard | moderate | moderate |
| Complexity | 4/5 | 2/5 | 4/5 |
| Audience | developer | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires historical market data access and understanding of trading concepts to configure strategies meaningfully.
An open-source quantitative trading platform for building, backtesting, and optimizing automated trading strategies across stocks, futures, options, and crypto.
Mainly Python. The stack also includes Python.
Maintained — commit in last 6 months (last push 2026-05-01).
No license information is mentioned in the explanation.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.