Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareNotable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | -4.1711 -4.87% on 09/01/26 | 4.2381 -193.62% on 08/12/26 | -8.2060 (-193.62%) since 08/12/26 | |
| 3-Month | -4.7757 -16.91% on 07/29/26 | 4.8052 -182.58% on 08/11/26 | -4.3926 (-1,034.28%) since 06/11/26 | |
| 6-Month | -6.7683 -41.38% on 03/20/26 | 5.3896 -173.62% on 04/17/26 | -0.8799 (+28.49%) since 03/12/26 | |
| YTD | -6.7683 -41.38% on 03/20/26 | 5.3896 -173.62% on 04/17/26 | -3.3622 (+555.09%) since 01/02/26 | |
| 52-Week | -6.7831 -41.50% on 10/17/25 | 6.8397 -158.01% on 11/28/25 | -4.0636 (-4,246.19%) since 09/10/25 | |
| 5-Year | -12.8251 -69.06% on 09/23/22 | 11.4262 -134.73% on 01/13/23 | -11.2390 (-154.57%) 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.
Or start with