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Multi Symbol Scan

ASecurity

Scan multiple symbols for setups, patterns, or strategy performance. Use when comparing across instruments or screening for opportunities.

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  • Added September 20, 2026
businessgoperformance

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A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 20, 2026

npx -y skills add FerroxLabs/murage --skill multi-symbol-scan --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: multi-symbol-scan
description: Scan multiple symbols for setups, patterns, or strategy performance. Use when comparing across instruments or screening for opportunities.
license: MIT
---

# Multi-Symbol Scanner

You are scanning multiple symbols for trading setups or comparing performance.

> **Power-toolkit shortcuts:** for systematic scoring across a set of strategy parameters, prefer `strategy_sweep` over a hand-rolled loop — it caps combinations, supports resume-from-partial, and uses a short cooldown when only inputs change. Use `state_snapshot` to preserve the user's start state before scanning, and `watchlist_get` if the user said "scan my watchlist".

## Step 1: Define the Scan

Determine:
- **Symbols**: Which instruments to scan (user-provided or watchlist via `watchlist_get`)
- **Timeframe**: Which timeframe to analyze
- **Criteria**: What to look for (indicator values, strategy results, visual patterns)

## Step 2: Run the Scan

### For Strategy Performance Comparison
Use `batch_run` with action `get_strategy_results`:
```
symbols: ["ES1!", "NQ1!", "YM1!", "RTY1!"]
timeframes: ["15"]
action: "get_strategy_results"
```

### For Screenshot Comparison
Use `batch_run` with action `screenshot`:
```
symbols: ["AAPL", "MSFT", "GOOGL", "AMZN"]
timeframes: ["D"]
action: "screenshot"
```

### For Custom Analysis (per-symbol)
Loop through symbols manually:
1. `chart_set_symbol` + `chart_set_timeframe`
2. `chart_manage_indicator` — add the study
3. `data_get_ohlcv` — pull price data
4. `data_get_indicator` — read indicator values
5. Analyze and record findings

## Step 3: Compile Results

Build a comparison table:
| Symbol | Key Metric 1 | Key Metric 2 | Signal |
|--------|-------------|-------------|--------|

Sort by the most relevant metric.

## Step 4: Report

Present findings:
- Ranked list of symbols by the scan criteria
- Highlight the strongest setups
- Note any divergences or anomalies
- Screenshot the top 1-2 charts for visual confirmation

## Watchlist Integration

To scan the user's watchlist:
1. `watchlist_get` — read all symbols
2. Use the symbol list for the scan
3. `watchlist_add` — add new finds to the watchlist

Files in this skill

  • SKILL.md2.1 KB
  • manifest.json427 B

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