Agent Skills
› tradesdontlie/tradingview-mcp
› multi-symbol-scan
multi-symbol-scan
GitHub用于多标的扫描以发现交易机会或对比表现。支持策略结果对比、截图比较及自定义指标分析,可结合用户关注列表执行批量扫描,最终生成按关键指标排序的排名报告并高亮最强信号。
Trigger Scenarios
需要同时检查多个金融品种的技术形态或策略表现
希望根据特定条件对一组资产进行筛选和排名
需要将当前关注的列表中的标的进行全面扫描
Install
npx skills add tradesdontlie/tradingview-mcp --skill multi-symbol-scan -g -y
SKILL.md
Frontmatter
{
"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.
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:
chart_set_symbol+chart_set_timeframechart_manage_indicator— add the studydata_get_ohlcv— pull price datadata_get_indicator— read indicator values- 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:
watchlist_get— read all symbols- Use the symbol list for the scan
watchlist_add— add new finds to the watchlist
Version History
- 1d733f5 Current 2026-07-05 14:43


