Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 74,598.47 +0.41% on 09/10/26 | 78,263.33 -4.29% on 08/12/26 | -3,063.76 (-3.93%) since 08/12/26 | |
| 3-Month | 74,453.39 +0.60% on 06/12/26 | 79,143.15 -5.36% on 08/04/26 | -625.36 (-0.83%) since 06/12/26 | |
| 6-Month | 71,545.81 +4.69% on 04/02/26 | 79,367.08 -5.63% on 04/21/26 | -2,663.57 (-3.43%) since 03/09/26 | |
| YTD | 71,545.81 +4.69% on 04/02/26 | 85,883.50 -12.79% on 01/05/26 | -10,286.01 (-12.07%) since 01/01/26 | |
| 52-Week | 71,545.81 +4.69% on 04/02/26 | 86,159.02 -13.06% on 12/01/25 | -5,665.12 (-7.03%) since 09/03/25 |
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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