# Multi Symbol Scan

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

- Skill: `ferroxlabs/multi-symbol-scan` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ferroxlabs/multi-symbol-scan`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ferroxlabs/multi-symbol-scan/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: FerroxLabs (https://skillmd.com/u/ferroxlabs)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ferroxlabs/multi-symbol-scan

---


# 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