jealous/stockstats
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support. observed · 2026-10-18
Health v2 · maintenance only
93/100
- Activity 97
- Release rhythm 85
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 73.0
- age_days: 3789
- days_rel: 22
- days_push: 22
- n_releases_24m: 7
Adoption not part of the score
1523 stars · 319 forks observed · 2026-10-18
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Python library providing a StockDataFrame wrapper around pandas.DataFrame for computing stock statistics and technical indicators inline. It supports dozens of indicators like RSI, MACD, Bollinger Bands, and moving averages with lazy column-based access.
Use cases
- calculate technical indicators like rsi and macd on stock price data
- compute bollinger bands and moving averages with pandas
- detect golden cross and crossover signals in stock data
- add stock statistics columns to a pandas dataframe
- backtest trading strategies with technical indicators
When to choose
- you already use pandas and want inline indicator computation on OHLCV data
- you need a wide range of technical indicators with simple column-based syntax
When to avoid
- you need a full backtesting or live trading framework
- your data is not in OHLCV format or you work outside the pandas ecosystem
Facets
library · maturity active
data-science analytics math fintech data-science analytics python stock-indicators technical-analysis pandas trading time-series
2 sources
- readme: https://github.com/jealous/stockstats · fetched 2026-10-18 · 50b4a7f296bc
- registry_pypi: https://pypi.org/pypi/stockstats/json · fetched 2026-08-29 · e06ed38043ee
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jealous/stockstats | main | 93 |
For agents
markdown · JSON · MCP: product_card(name="jealous/stockstats")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem