stockbee-momentum-burst-screener
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.
npx skills add BaggaT236/AI-Trading-Skills --skill stockbee-momentum-burst-screener --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Stockbee Momentum Burst Screener 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. ## When to Use - User asks for Stockbee / Pradeep Bonde style Momentum Burst screening - User wants 4% breakout, dollar breakout, or range expansion candidates - User asks for short-term 3-5 day swing momentum setups - User wants to review whether a daily breakout has A/B/C setup quality - User provides a symbol list, universe file, or historical OHLCV JSON for screening - User wants candidate outputs to feed into `technical-analyst`, `position-sizer`, or `trader-memory-core` ## Prerequisites - FMP API key for live universe and historical OHLCV screening: ```bash export FMP_API_KEY=your_api_key_here ``` - Optional no-API path: provide `--prices-json` containing daily OHLCV bars by symbol. - Run only after the market-regime workflow allows new swing risk, or mark output as manual-review-only. ## Workflow ### Step 1: Choose Input Mode Use one of three modes: **Mode A: FMP universe scan** ```bash python3 skills/stockbee-momentum-burst-screener/scripts/screen_momen
- When to Use
- Prerequisites
- Workflow
- Step 1: Choose Input Mode
- Step 2: Run the Screening Pass
- Step 3: Review Output
- Step 4: Send Survivors to Trade Planning
- Output
- Resources
export FMP_API_KEY=your_api_key_here python3 skills/stockbee-momentum-burst-screener/scripts/screen_momentum_burst.py \
What does the stockbee-momentum-burst-screener skill do?
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.
How do I install it?
Run `npx skills add BaggaT236/AI-Trading-Skills --skill stockbee-momentum-burst-screener --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From BaggaT236/AI-Trading-Skills, a repository with 118 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.