CLAUDE.md@examples/daily-market-dashboardA

CLAUDE.md@examples/daily-market-dashboard from tradermonty/claude-trading-skills is a CLAUDE.md file: the standing instructions Claude Code reads in that repo.

Install it, pinned
mdr add tradermonty/claude-trading-skills/examples/daily-market-dashboard/CLAUDE.md@git:20260413.89fa8d0

Pins git:20260413.89fa8d0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 14 of 14 checks passed
Kind
CLAUDE.md file
Repository
tradermonty/claude-trading-skills
Path
examples/daily-market-dashboard/CLAUDE.md
Versions recorded
2
Latest version
git:20260413.89fa8d0, committed Apr 13, 2026
First version recorded
Mar 19, 2026
Size
4,990 bytes
Repository stars
3,571
License
MIT

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## What This Project Is

A daily market dashboard application built with Streamlit and Claude Agent SDK. It runs 5 trading skills (FTD Detector, Uptrend Analyzer, Market Breadth, Theme Detector, VCP Screener) in parallel to generate a unified dashboard, then provides an interactive chat interface for discussing the results with a market-advisor agent. No API keys are required for 3 of 5 skills; FTD Detector and VCP Screener show N/A without `FMP_API_KEY` (free tier sufficient).

## Commands

```bash
# Setup
pip install -r requirements.txt
cp .env.example .env   # Set ANTHROPIC_API_KEY (optional if using subscription)

# Generate dashboard
python3 generate_dashboard.py --project-root ../..
python3 generate_dashboard.py --project-root ../.. --lang ja

# Run
streamlit run app.py
```

## Architecture

```
app.py                  Streamlit UI (entry point) — Dashboard tab + Chat tab
  ↓ uses
agent/client.py         ClaudeChatAgent: wraps SDK streaming responses
  ↓ uses
agent/async_bridge.py   AsyncBridge: runs async coroutines in Streamlit's sync context
…

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How to install

The exact contents, by fingerprint
mdr add tradermonty/claude-trading-skills/examples/daily-market-dashboard/CLAUDE.md@sha256:37445c55baa3343d

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Source

GitHub

tradermonty/claude-trading-skills · 3,571 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_y2ewcgkbcocsynp3
GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/examples/daily-market-dashboard/CLAUDE.md
GET https://markdownregistry.com/api/v1/blob/37445c55baa3343dcbf637bbe8cbc0981403ed872faac25189a025c3aa3c2726

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: what a CLAUDE.md file is · keeping AGENTS.md and CLAUDE.md in sync · which agent file does what.

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