Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 1,191,726,921.0000 +6.77% on 04/13/26 | 3,805,996,985.0000 -66.57% on 04/21/26 | +34,461,036.0000 (+2.78%) since 03/31/26 | |
| 3-Month | 1,136,648,521.0000 +11.94% on 03/23/26 | 8,940,610,899.0000 -85.77% on 03/20/26 | -2,301,800,709.0000 (-64.40%) since 01/29/26 | |
| 6-Month | 609,744,455.0000 +108.67% on 11/28/25 | 8,940,610,899.0000 -85.77% on 03/20/26 | -2,046,188,910.0000 (-61.66%) since 10/28/25 | |
| YTD | 1,136,648,521.0000 +11.94% on 03/23/26 | 8,940,610,899.0000 -85.77% on 03/20/26 | -209,121,415.0000 (-14.12%) since 01/02/26 | |
| 52-Week | 0.0000 on 05/26/25 | 8,940,610,899.0000 -85.77% on 03/20/26 | -3,074,888,445.0000 (-70.73%) since 04/30/25 | |
| 5-Year | 0.0000 on 11/28/24 | 6,301,807,464,942.0000 -99.98% on 04/29/24 | -130,805,423,634.0000 (-99.04%) since 05/05/21 |
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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