enzoampil/fastquant
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code! observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 2625
- days_rel: n/a
- days_push: 1083
- n_releases_24m: 0
Adoption not part of the score
1754 stars · 262 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
fastquant is a Python library that makes backtesting and optimizing trading strategies accessible with as few as 3 lines of code. It also provides easy access to historical stock data from Yahoo Finance and the Philippine Stock Exchange, as well as crypto data from Binance.
Use cases
- backtest a trading strategy with minimal code
- optimize parameters of a moving average crossover strategy
- fetch historical stock data for analysis
- pull crypto price data from Binance
- apply machine learning to trading strategies
- learn quantitative finance with Python
When to choose
- you want quick, simple backtesting of trading strategies in Python
- you need easy access to Yahoo Finance, PSE, or Binance historical data
- you are a beginner in quantitative finance or algo trading
When to avoid
- you need high-performance, production-grade backtesting with fine-grained control
- you require real-time trading execution or broker integration
- you need data sources beyond Yahoo Finance, PSE, or Binance
Facets
library · maturity maintenance
machine-learning data-science trading fintech data-science machine-learning python backtesting trading-strategies quantitative-finance stocks cryptocurrency algotrading
2 sources
- readme: https://github.com/enzoampil/fastquant · fetched 2026-08-28 · 2536c8ed1232
- registry_pypi: https://pypi.org/pypi/fastquant/json · fetched 2026-08-29 · 0cc28ec709ca
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| enzoampil/fastquant | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="enzoampil/fastquant")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem