All use cases

daily_stock_analysis, hosted. Nothing to install.

A decision dashboard for your stock list: trend, technicals, risks and an action for each ticker, written by a model over free market data. On AgentSky it runs in a long-lived session around the agent you choose: say what you need and the decision dashboard comes back in the conversation.

daily_stock_analysis has to be cloned, installed and configured on a machine before it does any work, and its results live wherever that machine is.

AutomateClaude Code + Claude Sonnet 5

Choose something else when

Run it yourself when you need paid data vendors or its notification channels on your own servers.

daily_stock_analysis

Review option pricing before running.

Runs started with multiple options stay blind until you vote.

How it works

  1. Step 1

    It runs the real project

    The session clones daily_stock_analysis at a pinned commit and runs its own workflow and scripts, not an imitation of its output.

  2. Step 2

    No provider key to paste

    daily_stock_analysis's own model calls go through AgentSky and are billed to your wallet, so it works without an account at another model provider.

  3. Step 3

    It stays set up

    The session is long-lived: the install, your files and earlier results stay between visits, so the next request starts where the last one ended.

What AgentSky runs

  • daily_stock_analysis installed in a hosted session
  • Its model calls, billed through your wallet
  • A session that keeps your work between visits

Powered by daily_stock_analysis

daily_stock_analysis is an open-source project (ZhuLinsen/daily_stock_analysis, MIT). AgentSky hosts it at a pinned commit; its results come from the project itself.

A description of the hosted integration, not a claim about the quality of its results.

daily_stock_analysis on GitHub