Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 482,774,376.0000 +96.61% on 08/18/26 | 1,582,157,842.0000 -40.01% on 08/12/26 | -632,966,367.0000 (-40.01%) since 08/12/26 | |
| 3-Month | 482,774,376.0000 +96.61% on 08/18/26 | 3,446,421,411.0000 -72.46% on 06/18/26 | -1,552,671,816.0000 (-62.06%) since 06/11/26 | |
| 6-Month | 334,837,666.0000 +183.48% on 03/27/26 | 3,446,421,411.0000 -72.46% on 06/18/26 | +606,804,760.0000 (+177.23%) since 03/12/26 | |
| YTD | 334,837,666.0000 +183.48% on 03/27/26 | 3,446,421,411.0000 -72.46% on 06/18/26 | -410,311,194.0000 (-30.18%) since 01/02/26 | |
| 52-Week | 148,877,259.0000 +537.57% on 10/10/25 | 3,446,421,411.0000 -72.46% on 06/18/26 | -247,155,092.0000 (-20.66%) since 09/10/25 | |
| 5-Year | 15,563,594.0000 +5,998.79% on 06/13/22 | 26,839,532,575.0000 -96.46% on 02/16/23 | -134,276,327.0000 (-12.39%) since 09/02/21 |
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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