Newsroom
STRO Price Target Alert: $10.00. Issued by Oppenheimer
By KlickAnalytics Data Insights | April 3, 2024 05:00PM ET
Historical Price Performance
Historical Price Targets
| Last Month | Last Quarter | Last Year | All Time | |
| Average Price Target | 14.50 | 14.50 | 14.50 | 17.60 |
| vs. Current Price $5.09 | -64.90% | -64.90% | -64.90% | -71.08% |
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 |
| 2024-04-03 | Jay Olson | Oppenheimer | 10.00 | 10.00 | 5.09 | -49.10% |
| 2024-04-03 | Edward Tenthoff | Piper Sandler | 11.00 | 11.00 | 5.09 | -53.73% |
| 2024-04-02 | Asthika Goonewardene | Truist Financial | 18.00 | 18.00 | 5.09 | -71.72% |
| 2023-01-13 | Truist Financial | 25.00 | 25.00 | 8.14 | -79.64% | |
| 2023-01-10 | Piper Sandler | 18.00 | 18.00 | 8.29 | -71.72% | |
| 2022-06-28 | Edward Tenthoff | Piper Sandler | 16.00 | 16.00 | 5.05 | -68.19% |
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