Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | -947,152,321.0000 -156.08% on 08/18/26 | 1,071,355,984.0000 -50.42% on 09/02/26 | -267,936,165.0000 (-33.53%) since 08/12/26 | |
| 3-Month | -1,348,606,480.0000 -139.39% on 07/29/26 | 2,415,064,789.0000 -78.01% on 06/18/26 | -1,502,957,084.0000 (-73.89%) since 06/11/26 | |
| 6-Month | -2,657,950,431.0000 -119.98% on 03/20/26 | 2,415,064,789.0000 -78.01% on 06/18/26 | +2,192,776,169.0000 (-131.97%) since 03/12/26 | |
| YTD | -2,657,950,431.0000 -119.98% on 03/20/26 | 2,415,064,789.0000 -78.01% on 06/18/26 | -126,910,538.0000 (-19.28%) since 01/02/26 | |
| 52-Week | -2,657,950,431.0000 -119.98% on 03/20/26 | 2,492,647,579.0000 -78.69% on 10/27/25 | +388,169,140.0000 (+271.43%) since 09/10/25 | |
| 5-Year | -28,599,394,097.0000 -101.86% on 02/13/23 | 25,171,669,573.0000 -97.89% on 02/16/23 | +26,448,776.0000 (+5.24%) 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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