mcdallas/wallstreet
Real time stock and option data. 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 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3878
- days_rel: n/a
- days_push: 789
- n_releases_24m: 0
Adoption not part of the score
1690 stars · 224 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Wallstreet is a Python 3 library for monitoring and analyzing real-time stock and option data, with quotes sourced from Google Finance or Yahoo Finance. It automatically computes option greeks and implied volatility using Black-Scholes, scraping the US Treasury site for the risk-free rate.
Use cases
- get real-time stock prices in python
- fetch option prices and greeks like delta and vega
- calculate implied volatility for options
- download historical stock price data as a dataframe
- look up available option strikes and expirations for a ticker
- monitor option chains for calls and puts
When to avoid
- you need guaranteed low-latency or official exchange data feeds
- you require a broker API for placing trades
- you need production-grade reliability, since it depends on scraping third-party endpoints
Facets
library · maturity maintenance
sdk data-science web-scraping analytics fintech data-science apis python cross-platform options-pricing black-scholes greeks stock-data yahoo-finance google-finance real-time-quotes finance
1 source
- readme: https://github.com/mcdallas/wallstreet · fetched 2026-08-28 · 517c8bbe4fa1
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mcdallas/wallstreet | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="mcdallas/wallstreet")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem