What happens after the market does something?
A library of market conditions, scanned every evening. Every day one fires is kept with what the price did before and after — so you can see how a stock really behaves after a gap, a big move or a volume spike.
Free accounts get the summaries. The full report set and saved screeners are on the Terminal plan.
-
A library of conditions
Named, categorised rules — gaps, big moves, pullbacks, volume spikes — checked on every symbol after the close.
-
Every occurrence, and what came next
The move into each event and after it, from one session to a year, on adjusted prices and against SPY.
-
60+ reports per symbol
Edge by horizon, ranges of outcomes, target-versus-stop odds, market regimes, seasonality and more.
-
Screen a whole universe
Pick an exchange, index, ETF, watchlist or your own symbols and see which conditions have worked, pooled or symbol by symbol.
-
Key observations, checked against chance
Every report opens with plain findings measured from the data, and says when a result is too small to trust.
-
Save and share screeners
Keep your screens and share them with your team, view-only or editable.
See how your stocks behave after the moves that matter.
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with