Ask like a professional.

• Move attribution

  Free

  👤 ⚡ 💎 📊

  Why did this stock move today?

  Rank the plausible causes of a single-name move with source citations and time-of-news markers.

  Example triggers

  • "why is <ticker> up/down"
  • "what's happening with <ticker>"
  Try this skill → v1 · updated 2026-08-17

• Historical analog

  Core

  💎 🌐 📊 ⚡

  When did this pattern happen before?

  Find the closest historical analogs to a market event and report what followed as a distribution — not an anecdote.

  Example triggers

  • "has this happened before"
  • "historical parallels for <event>"
  Try this skill → v1 · updated 2026-08-17

• Regulatory / legal

  Core

  💎 🌐 ⚖️

  How have similar lawsuits / antitrust cases played out?

  Trace how comparable regulatory / legal cases progressed and what remedies were ultimately imposed.

  Example triggers

  • "what happened in similar antitrust cases"
  • "how long do these lawsuits take"
  Try this skill → v1 · updated 2026-08-17

• Structural vs cyclical

  Core

  💎 🌐 📊

  Is this change structural or cyclical?

  Determine whether a change is a permanent re-rating (structural) or a swing that will mean-revert (cyclical).

  Example triggers

  • "is this the new normal"
  • "will <thing> recover"
  • "structural or cyclical"
  Try this skill → v1 · updated 2026-08-17

• Risk & sizing

  Core

  📊 ⚡ 💎

  How deep and how long — drawdown & recovery distribution

  For an event class, get the historical distribution of max drawdown, duration, and time-to-recovery.

  Example triggers

  • "how far could it fall"
  • "how long until recovery"
  • "worst case for <ticker>"
  Try this skill → v1 · updated 2026-08-17

• Positioning & flow

  Core

  💎 📊 ⚡

  What did institutional investors do this quarter?

  Parse the latest 13F filings to reveal who bought, who sold, and what that says about positioning.

  Example triggers

  • "who owns <ticker>"
  • "what did <fund> buy"
  • "berkshire 13f"
  Try this skill → v1 · updated 2026-08-17

• Corporate actions

  Free

  💎 ⚡ 👤

  What does a CEO / CFO / board change mean for the stock?

  Read a management change: bull signal (talented new CEO), bear signal (CFO fleeing accounting), or noise (planned succession).

  Example triggers

  • "<CEO> steps down"
  • "new CEO of <company>"
  • "CFO resignation"
  Try this skill → v1 · updated 2026-08-17

• Macro datapoint

  Core

  🌐 ⚡ 📊 ⚖️

  How should the market read this macro release?

  Decode a scheduled macro release (CPI, NFP, Fed, PMI, GDP) — headline vs composition vs policy repricing.

  Example triggers

  • "CPI came in at <X>"
  • "Fed decision today"
  • "NFP miss"
  Try this skill → v1 · updated 2026-08-17

• Competitive landscape

  Core

  ⚡ 📊 💎

  Who else moves when this stock / event moves?

  Map competitors, suppliers, customers, and substitutes — and rank the second-order plays.

  Example triggers

  • "who benefits from <event>"
  • "who loses from <event>"
  • "collateral impact of <X>"
  Try this skill → v1 · updated 2026-08-17

• Behavioral

  Core

  ⚡ 📊 💎

  Is this news already priced in?

  Determine whether the market has already absorbed the information — before you trade the news.

  Example triggers

  • "should I buy on this news"
  • "is this priced in"
  • "market didn't react — why"
  Try this skill → v1 · updated 2026-08-17

• Risk & sizing

  Premium

  ⚡ 📊 💎 👤

  What would this trade have made — parameterized backtest

  If I invested X at Y on Z and held N days (or with +a%/-b% rules), what would the historical P&L look like — for a specific date OR across similar events?

  Example triggers

  • "if I bought <ticker> today and held N days"
  • "backtest this trade"
  • "what would this strategy have made"
  Try this skill → v1 · updated 2026-08-17

• Risk & sizing

  Premium

  ⚡ 📊

  Backtest with exit rules (take-profit / stop-loss / trailing)

  Add take-profit, stop-loss, and trailing-stop rules to a backtest and measure how they reshape the return + risk distribution.

  Example triggers

  • "what if I stop out at -X%"
  • "take profit at +X%"
  • "trailing stop backtest"
  Try this skill → v1 · updated 2026-08-17

• Risk & sizing

  Premium

  📊 ⚡ 💎

  Event-driven backtest — apply rule to all historical instances

  For any event class, run the same trade rule on every historical occurrence and report the P&L distribution — the workhorse of systematic strategy design.

  Example triggers

  • "backtest across all instances of <event>"
  • "if I had bought every time <X> happened"
  Try this skill → v1 · updated 2026-08-17

• Risk & sizing

  Core

  📊 💎 ⚡ 🌐

  Risk-adjusted metrics — Sharpe, Sortino, Calmar, max DD

  Beyond raw returns — compute the industry-standard metrics that make strategies comparable across regimes and asset classes.

  Example triggers

  • "sharpe ratio"
  • "risk-adjusted return"
  • "max drawdown"
  Try this skill → v1 · updated 2026-08-17

• Risk & sizing

  Premium

  📊 ⚡

  Walk-forward optimization — detect overfitting before it costs you

  Split the sample into in-sample tuning and out-of-sample validation windows, walk forward through time — the gold standard for detecting overfit strategies.

  Example triggers

  • "is this strategy overfit"
  • "walk forward validation"
  • "out of sample test"
  Try this skill → v1 · updated 2026-08-17

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