backtest-expert
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating…
Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde,
$ npx -y skills add BaggaT236/AI-Trading-Skills --skill stockbee-momentum-burst-screener --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/stockbee-momentum-burst-screenerContext preview
The summary Claude sees to decide when to auto-load this skill.
Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde,
name: stockbee-momentum-burst-screener description: Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range expansion, dollar breakout, short-term swing momentum candidates, or 3-5 day burst setup review.
Screen US equities for Stockbee-style short-term Momentum Burst candidates. The skill is a candidate-generation and setup-quality workflow, not a signal service or an auto-execution system.
export FMP_API_KEY=your_api_key_here
Use one of three modes:
**Mode A: FMP universe scan**
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \ --fmp-universe \ --max-symbols 300 \ --output-dir reports/
**Mode B: Explicit symbols**
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \ --symbols NVDA SMCI PLTR TSLA \ --output-dir reports/
**Mode C: Offline OHLCV JSON**
python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \ --prices-json data/daily_ohlcv.json \ --output-dir reports/
The script detects these trigger families:
It then scores setup quality using:
Read the generated JSON and Markdown reports. For each candidate, present:
Use the output conservatively:
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