What is Stocks?

59/100
Trust Score (C)
⚠️ Use Caution

Stocks is a ios that Stocks makes it easy to follow the daily performance of your stocks and the market. Track groups of stocks, indexes, mutual funds, ETFs, and currencies through watchlists. Dive into tickers to get the. It has a Nerq Trust Score of 59/100 (C). 90 GitHub stars. Published by Apple Inc.. Last analyzed June 2026.

Why This Score

Trust & Safety Overview

59
TRUST SCORE
C
GRADE
90
STARS
90
DOWNLOADS

What Stocks Does

Stocks is a ios in the ios category. Stocks makes it easy to follow the daily performance of your stocks and the market. Track groups of stocks, indexes, mutual funds, ETFs, and currencies through watchlists. Dive into tickers to get the latest quotes and track movements through interactive charts. Stay on top of the latest business news from top publications around the world. With iCloud you can track your stocks across your Mac, yo. It is published by Apple Inc. and has no specified license. With 90 GitHub stars and 90 downloads, it has a small community of users and contributors.

Who Should Use Stocks

Stocks is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorApple Inc.
Categoryios
LicenseNot specified
Typeios
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=stocks

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is Stocks used for?
Stocks is a ios tool. Stocks makes it easy to follow the daily performance of your stocks and the market. Track groups of stocks, indexes, mutual funds, ETFs, and currencies through watchlists. Dive into tickers to get the.
Is Stocks free?
License: Check project page. Stocks has 90 GitHub stars.
Is Stocks safe?
Stocks has a Nerq Trust Score of 59/100 (C). Use with caution.
What are alternatives to Stocks?
Top alternatives: . See full comparison.

Last updated June 2026. Trust scores based on automated analysis of public data.

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