Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
1 bullish · 1 bearish points- Has recovered 16.0% off the 52-week low of $146.56.
- Lagged the S&P 500 by 10.9% over the last quarter (-8.4% against +2.4%).
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 166.18 +2.27% on 10/01/26 | 175.78 -3.32% on 09/04/26 | -2.83 (-1.64%) since 09/02/26 | |
| 3-Month | 166.18 +2.27% on 10/01/26 | 188.19 -9.69% on 08/05/26 | -15.61 (-8.41%) since 07/06/26 | |
| 6-Month | 160.75 +5.73% on 04/02/26 | 188.19 -9.69% on 08/05/26 | +6.58 (+4.03%) since 04/02/26 | |
| YTD | 154.18 +10.23% on 01/02/26 | 188.19 -9.69% on 08/05/26 | +12.79 (+8.14%) since 01/02/26 | |
| 52-Week | 145.87 +16.51% on 11/21/25 | 188.19 -9.69% on 08/05/26 | +17.47 (+11.46%) since 10/01/25 | |
| 5-Year | 78.23 +117.23% on 09/30/22 | 188.19 -9.69% on 08/05/26 | +76.14 (+81.16%) 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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