Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD monitoring.
Permissions
Files
Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context, liquidity, and risk to the EP-day low. Use when the user asks for EP candidates, episodic pivots, Day 1 catalyst trades, game-changing news reactions, delayed EP watchlists, or handoffs into PEAD monitoring.
Classify Day 1 Episodic Pivot (EP) candidates using both catalyst quality and price/volume confirmation. The skill is a candidate-quality analyzer, not an execution engine.
Version history
ACTIONABLE_DAY1 candidates from DELAYED_EP_WATCH namespead-screenerstockbee-momentum-burst-screener price/volume outputearnings-trade-analyzer JSON outputstockbee-momentum-burst-screener JSON enrichmentUse one or more of these input modes.
Mode A — Catalyst/event JSON:
{
"events": [
{
"symbol": "ABC",
"event_date": "2026-04-25",
"catalyst_type": "guidance_raise",
"headline": "ABC raises FY guidance after record demand",
"summary": "Management raised revenue and EPS guidance."
}
]
}
Mode B — Earnings pipeline:
Use the JSON produced by earnings-trade-analyzer.
Mode C — Price/volume enrichment:
Pass a stockbee-momentum-burst-screener JSON report to reuse day-gain, volume, close-location, and risk-distance fields.
# Catalyst JSON + offline OHLCV
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
--events-json data/catalysts.json \
--prices-json data/daily_ohlcv.json \
--output-dir reports/
# Earnings pipeline input
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
--earnings-json reports/earnings_trade_analyzer_YYYY-MM-DD_HHMMSS.json \
--output-dir reports/
# Catalyst JSON + Stockbee momentum enrichment
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
--events-json data/catalysts.json \
--momentum-json reports/stockbee_momentum_burst_YYYY-MM-DD_HHMMSS.json \
--output-dir reports/
Optional FMP enrichment:
export FMP_API_KEY=your_key
python3 skills/stockbee-episodic-pivot-analyzer/scripts/analyze_ep.py \
--events-json data/catalysts.json \
--max-api-calls 200 \
--output-dir reports/
For each candidate, present:
state: ACTIONABLE_DAY1, DAY1_WATCH, DELAYED_EP_WATCH, CATALYST_WATCH, or REJECTep_type: EARNINGS_EP, GUIDANCE_EP, FDA_EP, M_AND_A_EP, STORY_EP, etc.pead_handoff and delayed_ep_watch flagsACTIONABLE_DAY1: Send to technical-analyst and position-sizer before any trade decision.DAY1_WATCH: Keep on the intraday/next-day watchlist; require chart confirmation.DELAYED_EP_WATCH: Do not chase Day 1; monitor for a controlled pullback or new range.CATALYST_WATCH: Catalyst may be important, but price/volume confirmation is not yet sufficient.REJECT: Do not trade from this candidate source.pead_handoff=true can be sent to pead-screener for weekly red-candle / delayed reaction monitoring.stockbee_episodic_pivot_YYYY-MM-DD_HHMMSS.json — structured EP scoring reportstockbee_episodic_pivot_YYYY-MM-DD_HHMMSS.md — human-readable candidate reportreferences/ep_methodology.md — Stockbee EP interpretation and setup taxonomyreferences/catalyst_quality.md — catalyst classification and quality scoringreferences/handoff_rules.md — downstream workflow handoffs and review rulesIn these kits
More from @tradermonty
Works with
Claude, Codex, Cursor & more