Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 8,498.1 +1.03% on 09/10/26 | 9,018.9 -4.81% on 08/12/26 | -388.8 (-4.33%) since 08/12/26 | |
| 3-Month | 8,437.8 +1.75% on 07/02/26 | 9,109.6 -5.76% on 08/06/26 | -92.2 (-1.06%) since 06/15/26 | |
| 6-Month | 8,107.9 +5.89% on 03/22/26 | 9,109.6 -5.76% on 08/06/26 | +163.3 (+1.94%) since 03/16/26 | |
| YTD | 8,107.9 +5.89% on 03/22/26 | 9,109.6 -5.76% on 08/06/26 | +240.9 (+2.89%) since 01/02/26 | |
| 52-Week | 8,022.5 +7.02% on 11/20/25 | 9,109.6 -5.76% on 08/06/26 | -21.1 (-0.25%) since 10/14/25 | |
| 5-Year | 6,261.3 +37.12% on 10/03/22 | 9,109.6 -5.76% on 08/06/26 | +1,665.8 (+24.07%) since 12/01/21 |
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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