Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
5 bullish · 3 bearish points- Holds 11.2% above its 200-day average.
- Has recovered 163.1% off the 52-week low of $0.84.
- FY2025 earnings rose 177.6% to -$22.40M.
- Sits 182.8% below the average analyst target of $6.25 across 4 firms.
- The Q2 '26 quarter beat on EPS by $0.01 (25.9% above consensus).
- Still 30.9% below its 52-week high of $3.20.
- Lagged the S&P 500 by 29.5% over the last quarter (-24.8% against +4.7%).
- Full-year revenue declined 100.0% in FY2025 to $0.00.
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 1.98 +11.62% on 08/13/26 | 2.55 -13.33% on 08/18/26 | +0.09 (+4.25%) since 08/06/26 | |
| 3-Month | 1.98 +11.62% on 08/13/26 | 3.54 -37.57% on 06/30/26 | -0.73 (-24.83%) since 06/05/26 | |
| 6-Month | 1.60 +38.13% on 03/30/26 | 3.54 -37.57% on 06/30/26 | +0.44 (+24.86%) since 03/06/26 | |
| YTD | 1.05 +110.48% on 01/15/26 | 3.54 -37.57% on 06/30/26 | +0.68 (+44.44%) since 01/02/26 | |
| 52-Week | 0.76 +192.25% on 11/14/25 | 3.54 -37.57% on 06/30/26 | +0.46 (+26.29%) since 09/04/25 | |
| 5-Year | 0.27 +718.52% on 06/24/25 | 7.12 -68.96% on 10/06/21 | -4.03 (-64.58%) since 08/27/21 |
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