Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 106.29 +1.94% on 09/01/26 | 108.89 -0.50% on 08/13/26 | +0.99 (+0.92%) since 08/06/26 | |
| 3-Month | 99.76 +8.61% on 06/09/26 | 108.89 -0.50% on 08/13/26 | +7.68 (+7.63%) since 06/05/26 | |
| 6-Month | 91.63 +18.25% on 03/20/26 | 108.89 -0.50% on 08/13/26 | +11.61 (+12.00%) since 03/06/26 | |
| YTD | 91.63 +18.25% on 03/20/26 | 108.89 -0.50% on 08/13/26 | +12.83 (+13.43%) since 01/02/26 | |
| 52-Week | 87.92 +23.23% on 09/04/25 | 108.89 -0.50% on 08/13/26 | +20.00 (+22.64%) since 09/04/25 | |
| 5-Year | 48.62 +122.86% on 10/13/22 | 108.89 -0.50% on 08/13/26 | +39.41 (+57.17%) since 08/27/21 |
New Highs
Historical highsAsk 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.
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