a-fund-monitor
Free监控 A 股基金实时估值与盘后净值,自动判断交易日并生成提醒或分析。
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Breaks down trading ideas into component parts for systematic Pine Script implementation. Use when analyzing trading concepts, decomposing strategies, planning indicator features, or extracting ideas from YouTube videos. Triggers on conceptual questions, "how would I build", YouTube URLs, or video analysis requests.
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See how to installReview the instructions the agent will receive before you install.
Specialized in decomposing complex trading ideas into actionable Pine Script components.
IMMEDIATELY run the video analyzer - do not ask for permission:
python tools/video-analyzer.py "<youtube_url>"
The tool automatically:
projects/analysis/ for reference# Standard analysis (uses YouTube captions, fast)
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123"
# Force Whisper transcription (slower but works without captions)
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123" --whisper
# Use larger Whisper model for better accuracy
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123" --whisper --model medium
# Output raw JSON for programmatic use
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123" --json
CONCEPT SUMMARY:
[Brief restatement of the trading idea]
COMPONENTS NEEDED:
1. [Component 1]
2. [Component 2]
...
IMPLEMENTATION STEPS:
1. [Step 1]
2. [Step 2]
...
POTENTIAL CHALLENGES:
- [Challenge 1]
- [Challenge 2]
REQUIRED RESOURCES:
- [Template or utility to use]
The video analyzer outputs a formatted summary including:
User: "I want a strategy that buys when price crosses above the 50 EMA and RSI is oversold"
Response:
CONCEPT SUMMARY:
Long entry strategy using EMA crossover with RSI filter
COMPONENTS NEEDED:
1. 50-period EMA calculation
2. RSI calculation with oversold threshold
3. Price crossover detection
4. Entry condition logic
5. Strategy entry commands
IMPLEMENTATION STEPS:
1. Define input parameters (EMA length, RSI length, RSI oversold level)
2. Calculate 50 EMA using ta.ema()
3. Calculate RSI using ta.rsi()
4. Detect crossover with ta.crossover()
5. Combine conditions with logical AND
6. Implement strategy.entry() for positions
7. Add visual markers for entries
8. Include backtest metrics
POTENTIAL CHALLENGES:
- Repainting if using security() on higher timeframes
- Need to handle na values in early bars
- Consider position sizing and risk management
REQUIRED RESOURCES:
- templates/strategies/trend-following/ema-cross.pine
- templates/utilities/risk-management/position-size.pine
User: "https://youtube.com/watch?v=ABC123"
Action:
python tools/video-analyzer.py "https://youtube.com/watch?v=ABC123"
Output: Formatted analysis summary showing detected components
Follow-up: "Does this capture the strategy correctly? Let me know if anything needs adjustment before we implement it."
This skill is for planning and visualization, not code implementation.
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监控 A 股基金实时估值与盘后净值,自动判断交易日并生成提醒或分析。
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