Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartComparePrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | -5,160.0000 +0.00% on 09/11/26 | -4,962.0000 3.99% on 08/14/26 | -184.0000 (+3.70%) since 08/12/26 | |
| 3-Month | -5,160.0000 +0.00% on 09/11/26 | -4,855.0000 6.28% on 06/12/26 | -291.0000 (+5.98%) since 06/11/26 | |
| 6-Month | -5,160.0000 +0.00% on 09/11/26 | -4,694.0000 9.93% on 04/20/26 | -441.0000 (+9.35%) since 03/12/26 | |
| YTD | -5,160.0000 +0.00% on 09/11/26 | -4,604.0000 12.08% on 03/02/26 | -329.0000 (+6.81%) since 01/02/26 | |
| 52-Week | -5,160.0000 +0.00% on 09/11/26 | -4,543.0000 13.58% on 10/08/25 | -561.0000 (+12.20%) since 09/10/25 | |
| 5-Year | -5,160.0000 +0.00% on 09/11/26 | -357.0000 1,345.38% on 09/02/21 | -4,803.0000 (+1,345.38%) 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