Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 63,841.29 +1.61% on 08/18/26 | 67,247.56 -3.54% on 08/06/26 | -1,529.54 (-2.30%) since 08/06/26 | |
| 3-Month | 63,841.29 +1.61% on 08/18/26 | 69,220.67 -6.29% on 06/15/26 | -542.87 (-0.83%) since 06/09/26 | |
| 6-Month | 63,781.25 +1.70% on 03/20/26 | 71,221.55 -8.92% on 04/08/26 | -2,446.89 (-3.64%) since 03/06/26 | |
| YTD | 63,781.25 +1.70% on 03/20/26 | 72,111.41 -10.05% on 02/12/26 | +725.25 (+1.13%) since 01/02/26 | |
| 52-Week | 59,331.23 +9.33% on 09/04/25 | 72,111.41 -10.05% on 02/12/26 | +5,215.04 (+8.74%) since 09/03/25 | |
| 5-Year | 44,518.73 +45.71% on 08/31/22 | 72,111.41 -10.05% on 02/12/26 | +13,729.99 (+26.85%) since 10/08/21 |
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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