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multi-symbol-scan

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

Datos de origen

Repositorio
FerroxLabs/wayland
Última actividad en el origen
24 de agosto de 2026 a las 15:25
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SKILL.md
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name
multi-symbol-scan
description
Scan multiple symbols for setups, patterns, or strategy performance. Use when comparing across instruments or screening for opportunities.
# 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. It takes an `entity_id` from `chart_get_state`; a study reported with `id: null` and `addressable_by: "name"` has no server id, which means the pane is damaged — run `tv_chart_health` rather than working around it 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. Membership is complete even with the panel closed, but prices are only attached when the panel is open: check `quotes_available` before reading a price off it 2. Use the symbol list for the scan 3. `watchlist_add` — add new finds to the watchlist
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