TradeFlare's AI research teams analysed TLX on 7 market nights between May 8, 2026 and September 25, 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) |
|---|---|---|---|---|---|---|
| September 25, 2026 | HOLD | $11.31 | — / — | -7.9% | not yet | The current setup does not warrant a buy due to conflicting signals and risk factors. |
| September 18, 2026 | HOLD | $12.51 | $14.39 / $10.63 | -9.1% | not yet | The PEAD signal suggests potential for short-term follow-through, but the high volatility and mixed technicals warrant a cautious approach. |
| September 10, 2026 | BUY | $12.34 | $14.76 / $10.49 | +5.1% | -7.5% | The bullish fundamental and sentiment signals, combined with the 52-week breakout, suggest potential for sustained upward momentum over several weeks. |
| August 21, 2026 | BUY | $12.42 | $14.90 / $10.56 | -0.3% | -0.2% | The stock is poised for a breakout above resistance, supported by strong fundamentals and sentiment, with a technical setup that suggests continuation. |
| July 21, 2026 | BUY | $10.51 | $12.00 / $8.50 | -6.7% | +8.8% | The fundamental and sentiment teams are bullish, suggesting a longer-term recovery potential, while technicals offer a short-term bounce opportunity. |
| July 20, 2026 | BUY | $10.46 | — / — | -5.0% | +11.6% | The stock is currently consolidating and requires a clearer directional signal before a trade can be initiated. |
| May 8, 2026 | BUY | $10.66 | $13.80 / $9.06 | -1.1% | -13.7% | The insider buying provides a near-term catalyst, and the fundamental and sentiment data suggest a longer-term upward trend. |
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.