Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 2.75 +10.57% on 09/10/26 | 3.32 -8.23% on 09/24/26 | +0.13 (+4.39%) since 09/07/26 | |
| 3-Month | 2.62 +16.36% on 08/06/26 | 3.32 -8.23% on 09/24/26 | +0.10 (+3.54%) since 07/10/26 | |
| 6-Month | 2.59 +17.44% on 04/30/26 | 3.40 -10.37% on 06/01/26 | +0.35 (+13.12%) since 04/28/26 | |
| YTD | 2.50 +22.00% on 04/24/26 | 7.44 -59.08% on 01/26/26 | -0.57 (-15.84%) since 01/01/26 | |
| 52-Week | 2.50 +22.00% on 04/24/26 | 7.44 -59.08% on 01/26/26 | -1.79 (-36.98%) since 11/30/25 | |
| 5-Year | 1.48 +105.54% on 03/26/24 | 10.03 -69.64% on 08/23/22 | -1.24 (-28.93%) since 01/18/22 |
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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