Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
1 bullish · 6 bearish points- FY2025 earnings rose 144.7% to -$9.16M.
- Operating margin compressed to -0.3% in the Jun 2026 quarter from 2.5% a year earlier.
- Gross margin slipped to 7.9% from 37.5% a year ago.
- Revenue fell 6.5% year on year in the Jun 2026 quarter.
- Trades 27.7% below its 200-day average, a downtrend still intact.
- Still 44.1% below its 52-week high of $8.05.
- Lagged the S&P 500 by 25.5% over the last quarter (-23.1% against +2.4%).
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 4.40 +2.27% on 09/29/26 | 5.41 -16.82% on 09/03/26 | -0.75 (-14.29%) since 09/02/26 | |
| 3-Month | 4.40 +2.27% on 09/29/26 | 6.08 -25.99% on 07/10/26 | -1.35 (-23.08%) since 07/06/26 | |
| 6-Month | 4.40 +2.27% on 09/29/26 | 9.50 -52.63% on 05/04/26 | -2.10 (-31.82%) since 04/02/26 | |
| YTD | 4.40 +2.27% on 09/29/26 | 9.50 -52.63% on 05/04/26 | -2.11 (-31.92%) since 01/02/26 | |
| 52-Week | 4.40 +2.27% on 09/29/26 | 9.50 -52.63% on 05/04/26 | -2.62 (-36.80%) since 10/01/25 | |
| 5-Year | 4.40 +2.27% on 09/29/26 | 20.74 -78.31% on 08/16/22 | -10.08 (-69.14%) since 09/24/21 |
New Highs
Historical highsFinancial SnapshotFY 2025
Full financialsNews
All newsAsk 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