Newsroom
STRL Price Target Alert: $950.00. Issued by Oppenheimer
By KlickAnalytics Data Insights | May 28, 2026 06:15AM ET
Historical Price Performance
Historical Price Targets
| Last Month | Last Quarter | Last Year | All Time | |
| Average Price Target | 889.00 | 657.00 | 555.00 | 502.14 |
| vs. Current Price $782.12 | -12.02% | 19.04% | 40.92% | 55.76% |
Analyst Price Targets
Last 10 Price Targets| Published Date | Analyst Name | Analyst Company | Price Target | Price Target (Adjusted) | Price When Published | Current Price vs. Price Target |
| 2026-05-28 | Brent Thielman | Oppenheimer | 950.00 | 950.00 | 782.12 | -17.67% |
| 2026-05-06 | KeyBanc | 889.00 | 889.00 | 806.00 | -12.02% | |
| 2026-04-23 | Sangita Jain | KeyBanc | 572.00 | 572.00 | 487.87 | 36.73% |
| 2026-04-16 | Argus Research | 510.00 | 510.00 | 456.08 | 53.36% | |
| 2026-02-11 | Stifel Nicolaus | 486.00 | 486.00 | 433.91 | 60.93% | |
| 2026-01-23 | Cantor Fitzgerald | 413.00 | 413.00 | 364.25 | 89.38% | |
| 2025-11-05 | D.A. Davidson | 460.00 | 460.00 | 404.00 | 70.03% | |
| 2025-02-27 | Brent Thielman | D.A. Davidson | 185.00 | 185.00 | 122.16 | 322.77% |
For more information:
Ask 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