€9.91 GB00BMTP1733.SG WisdomTree Crypto Mega Cap (STU) Feb 2026: Oversold bounce

GB00BMTP1733.SG stock traded at €9.91 during market hours on 19 Feb 2026, down -3.30% intraday from a €10.25 close. The pullback left the fund near a clear short-term support at €8.82 (day low), below the 50-day average of €11.89 and roughly level with the Keltner middle at €9.91. For traders watching an oversold bounce setup, the combination of a low near €8.82 and an ATR of €1.09 frames a defined risk zone and a nearby upside target at the 50-day average.

Technical setup: GB00BMTP1733.SG stock oversold bounce

Intraday action shows GB00BMTP1733.SG stock opened at €9.11, hit a day high of €9.91 and a day low of €8.82. The 50-day average sits at €11.89, so a bounce toward that level would imply a near-term upside of about 20.00% if momentum returns. ATR of €1.09 and Keltner channels (middle €9.91, lower €7.72) give traders a measurable stop level below €8.82 for a tactical oversold trade.

Price action and intraday levels

The fund is down €0.34 or -3.30% from the previous close of €10.25, with a year range between €8.82 and €10.34. Absence of visible volume data increases execution risk, so use limit orders and small size until liquidity confirms a reversal. A reclaim of €10.25 would signal stabilization; a sustained breakout above €11.89 would validate a larger rally.

Fundamentals and sector context

WisdomTree Crypto Mega Cap Equa is listed on STU in Germany and sits in the Financial Services sector, industry Asset Management – Cryptocurrency. The product shows no reported EPS or PE, and reported market cap data is not provided. In a broader market, financial services and crypto-asset funds have seen mixed flows; readers can compare ETF flows and sector trends on major news sites such as Reuters and Bloomberg.

Meyka AI rates GB00BMTP1733.SG with a score out of 100

Meyka AI rates GB00BMTP1733.SG with a score out of 100: 64.28 out of 100 | Grade: B | Suggestion: HOLD. This grade factors in S&P 500 benchmark comparison, sector performance, financial growth, key metrics, and analyst consensus. The technical profile (ATR €1.09, Keltner middle €9.91) and limited on-chain or earnings data weigh on the score. These grades are informational only and are not financial advice.

Price targets, forecast and trade plan

Meyka AI’s forecast model projects a 1-year target of €16.25 and a quarterly figure of €12.59 versus the current price €9.91. A conservative near-term price target for an oversold bounce is €11.50, aligned with the 50-day average; a medium-term upside target is €16.25. Suggested stop is below €8.00 to limit downside. Forecasts are model-based projections and not guarantees.

Risks and execution notes

Key risks include low visible liquidity, no published EPS/PE data, and sensitivity to crypto market flows. A failure to hold €8.82 would open further downside toward the Keltner lower €7.72. For traders, position size should reflect uncertain liquidity; consider scaling in and keeping stops tight given the ATR €1.09.

Final Thoughts

GB00BMTP1733.SG stock at €9.91 intra-session on 19 Feb 2026 presents a clear oversold bounce setup for disciplined traders. The immediate technical picture shows support at €8.82, resistance around the prior close €10.25, and the 50-day average at €11.89 as a primary upside target. Meyka AI’s model projects a 1-year target of €16.25, implying an upside of roughly 63.96% from the current price; this projection is model-based and not a guarantee. Given the lack of EPS/PE disclosure and limited volume information, we frame this as a tactical trade, not a long-term thesis. Use small size, defined stops below €8.00, and watch for a reclaim of €10.25 as the first sign of a sustained bounce. Meyka AI provides this AI-powered market analysis to help quantify risk and reward; always confirm liquidity before executing larger positions.

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Disclaimer:

Stock markets involve risks. This content is for informational purposes only. Past performance does not guarantee future results. Meyka AI PTY LTD provides market analysis and data insights, not financial advice. Always conduct your own research and consider consulting a licensed financial advisor.