TradeFlare's AI research teams analysed INBX on 7 market nights between September 9, 2026 and October 1, 2026. Each row is that night's verdict, the price that day, and how the price actually moved afterwards — wins and misses alike. Nothing is edited after the fact.
| Date | Verdict | Price | Target / stop | 5 days later | 20 days later | Why (that night) |
|---|---|---|---|---|---|---|
| October 1, 2026 | HOLD | $100.08 | $120.09 / $85.07 | not yet | not yet | The insider buying is a strong signal, but the neutral technicals and high risk necessitate a cautious approach with a longer time horizon to allow the fundamental story to play out. |
| September 28, 2026 | HOLD | $99.61 | — / — | not yet | not yet | The current market conditions and the stock's technical setup do not warrant a buy at this time. |
| September 24, 2026 | HOLD | $100.33 | — / — | not yet | not yet | The current market regime and the stock's technical and risk profile do not support a buy recommendation at this time. |
| September 22, 2026 | HOLD | $112.04 | — / — | not yet | not yet | The current market conditions and the stock's technical setup do not warrant a buy at this time. |
| September 18, 2026 | BUY | $104.73 | $120.44 / $89.02 | not yet | not yet | The insider buying and positive fundamental/sentiment signals suggest a medium-term upward trend. |
| September 11, 2026 | HOLD | $111.42 | $133.70 / $94.71 | not yet | not yet | The insider buying is a strong signal, but the neutral technicals and high risk require a cautious approach with a longer time horizon to allow the setup to mature. |
| September 9, 2026 | HOLD | $114.34 | — / — | not yet | not yet | The current market regime and the stock's neutral technicals necessitate a cautious approach, awaiting clearer signals. |
Prices are daily closes. "Days later" counts trading days from the close on the day of the call. A HOLD is not a recommendation to buy; only published signals are tracked with a target and stop on the public record. How the research works. Updated October 14, 2026. AI-generated research for educational purposes — it can be wrong and is not financial advice.