القائمة
Trade around earnings announcements for stocks. Use when positioning for earnings, trading post-earnings moves, or analyzing earnings-driven volatility.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Define and test objective candlestick geometry. Use when labeling OHLC patterns, comparing body/wick rules, or evaluating a closed-bar entry with context and cost controls.
Trade within ascending, descending, and horizontal channels. Use when range trading, riding trends with defined boundaries, or finding breakout setups.
Define and test cup-and-handle breakout shapes. Use when measuring a rounded base, handle depth, lip break, retest, invalidation, and measured-move hypothesis without inferring accumulation.
Trade double and triple top/bottom reversal patterns. Use when identifying trend exhaustion, finding reversal entries at key resistance/support, or confirming failed breakouts.
Define and test flag or pennant continuation shapes. Use when measuring an impulse, consolidation, closed-bar break, invalidation, and measured-move hypothesis.
Define and test head-and-shoulders or inverse patterns. Use when measuring objective pivots, neckline breaks/retests, symmetry, invalidation, and measured-move outcomes.
| name | earnings-trading |
| description | Trade around earnings announcements for stocks. Use when positioning for earnings, trading post-earnings moves, or analyzing earnings-driven volatility. |
| license | Apache-2.0 |
| metadata | {"author":"ske-labs","version":"4.0"} |
Analyze and trade earnings only from time-stamped expectations, primary filings, and an explicit event-risk plan. Surprise is important, but price also reflects guidance, revisions, positioning, valuation, liquidity, and regime.
| Dimension | Record |
|---|---|
| Earnings | GAAP and adjusted EPS, reconciliation, point-in-time consensus, surprise |
| Revenue | Reported revenue, organic/segment mix, consensus, FX effects |
| Outlook | Prior versus new ranges and assumptions; do not reduce guidance to one word |
| Quality | Cash flow, margins, working capital, one-offs, share count |
| Context | Pre-event move, options-implied move if available, valuation, liquidity |
Do not invent a numeric "whisper" from price direction. Report observable proxies separately: estimate revisions and dispersion, pre-event abnormal return, short interest, options-implied move/skew, and source-dated analyst commentary. Label any inference about positioning as uncertain.
Stocks that surprise on earnings tend to continue drifting in the same direction -- one of the most documented market anomalies.
Post-earnings-announcement drift is an empirical research finding, not a fixed probability or holding period. Define standardized unexpected earnings using point-in-time estimates, form size/liquidity buckets, and test horizons without overlapping-sample leakage. Compare closed-bar entry times and fixed, time, and trailing exits after spread and slippage.
get_fundamentals(ticker="AAPL")
Pull point-in-time EPS/revenue estimates, estimate dispersion, earnings timestamp, and historical surprises. Verify event time and results in the issuer's 8-K/earnings release and 10-Q.
get_financial_news(topic="AAPL earnings <quarter> <current year> expectations analyst", max_results=15)
Look for dated estimate revisions, price-target changes, and positioning proxies. Separate facts from commentary and deduplicate syndicated stories.
get_financial_news(topic="AAPL earnings call transcript summary management tone", max_results=10)
Compare the transcript with the prior quarter using reproducible features: quantified outlook changes, topics raised by analysts, answer specificity, and risk-language changes. Quote minimally with timestamps and treat tone as interpretation, not a deterministic label.
Report each dimension separately, price reaction versus any implied move, liquidity, and valid, watch, or no trade. If trading, state entry trigger, gap-aware invalidation, time exit, maximum event loss, and source timestamps.