Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
1 bullish · 1 bearish points- Has recovered 17.3% off the 52-week low of $41.67.
- Lagged the S&P 500 by 8.4% over the last quarter (-6.0% against +2.4%).
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 47.81 +2.20% on 10/01/26 | 53.52 -8.71% on 09/03/26 | -4.09 (-7.72%) since 09/02/26 | |
| 3-Month | 47.81 +2.20% on 10/01/26 | 54.19 -9.84% on 08/24/26 | -3.12 (-6.00%) since 07/06/26 | |
| 6-Month | 47.81 +2.20% on 10/01/26 | 54.19 -9.84% on 08/24/26 | -1.36 (-2.71%) since 04/02/26 | |
| YTD | 44.91 +8.80% on 01/02/26 | 54.19 -9.84% on 08/24/26 | +3.11 (+6.80%) since 01/02/26 | |
| 52-Week | 41.48 +17.78% on 11/04/25 | 54.19 -9.84% on 08/24/26 | +5.11 (+11.68%) since 10/01/25 | |
| 5-Year | 31.06 +57.30% on 09/27/22 | 54.19 -9.84% on 08/24/26 | +11.98 (+32.48%) since 09/24/21 |
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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