Predict the stock price of qbts tomorrow?

``` The deep research logic is organized as follows: Okay, let's tackle the user's question about predicting QBTS's stock price tomorrow. First, I need to gather all the relevant data from the provided references. The user is asking for a prediction, so I should look for any recent price forecasts or technical analysis mentioned. Looking at the references, there's a specific entry (Number 13) that provides a stock forecast for QBTS. It mentions a price prediction for tomorrow, July 18, 2025, with a forecasted price of $16.21 and a potential loss of -4.08%. That's a key point. Also, the technical indicators from the previous analysis (like RSI, MACD, KDJ) are still relevant here. The RSI was overbought at 79.68, which might indicate a pullback. The MACD was positive but the KDJ was also high, suggesting possible short-term corrections. Another reference (Number 12) gives a price range for July 2025 between $16.19 and $16.22, with an average of $16.21. This aligns with the forecast from Number 13. The user's profile mentions interest in technical analysis, so including these metrics would be helpful. Also, the user is into the semiconductor industry, so highlighting how QBTS fits into that sector might add value, but the question is specifically about the stock price prediction. I should structure the answer with a clear conclusion first, then break down the analysis into sections like Market Sentiment, Technical Indicators, and Valuation Metrics. Using tables to present the data neatly, as per the format requirements. Also, need to include the visualization for the earnings release date, even though it's not directly related to the price prediction, but the user might appreciate the context. Wait, the user's question is about tomorrow's price, which is July 18, 2025. The references mention the earnings release date is August 14, 2025 (Number 1), which is in the future. The recent trading activity and options data (Number 15) show bearish tendencies with 60% of traders showing bearish signals. That's another factor to consider. The average target price from analysts is $17.33 (Number 9), which is higher than the current price, but the short-term forecast is lower. Putting it all together, the prediction should mention the forecasted drop to $16.21, the technical overbought conditions, and the analyst targets. Also, note the institutional activity and recent funding, which might provide some support but could also lead to volatility. The user's interest in ESG and semiconductor themes might not directly impact the short-term price prediction, but it's good to acknowledge their portfolio context. I need to ensure all citations are correctly referenced. The main sources for the prediction are Numbers 12 and 13. The technical indicators come from the previous analysis, which is part of the background. The options data (Number 15) adds context about market sentiment. The conclusion should be clear, advising caution due to overbought conditions and potential short-term pullback, but also noting the long-term upside potential based on analyst targets. ``` **Conclusion** 🎯 Based on current market data and technical analysis, **D-Wave Quantum Inc. (QBTS)** is expected to experience a **short-term pullback** tomorrow (July 18, 2025), with a forecasted price of **$16.21**. However, long-term upside potential remains significant due to its leadership in quantum computing and recent strategic initiatives. --- ### 📊 **Analysis Breakdown** #### 1. **Market Sentiment & Recent Performance** - **Current Price**: $19.24 (as of July 17, 2025). - **Tomorrow’s Forecast**: $16.21, representing a **-4.08% decline** . - **Key Catalysts**: - Recent $400M stock offering boosted cash reserves to $815M . - Launch of the Advantage2 quantum computer (+15.5% YTD revenue growth) . - Institutional buying: Vontobel Holding Ltd. increased stake by 786.8% . | Metric | Value (July 17, 2025) | Implication | |-----------------------|-------------------------|-------------| | RSI (14-day) | 79.68 (Overbought) | Likely pullback . | | MACD | 0.41 (Bullish) | Short-term momentum . | | KDJ (Stochastic) | 90.22 (Overbought) | Overextended . | #### 2. **Valuation & Analyst Targets** - **P/S Ratio**: 244.56 (highly speculative) . - **Average Target Price**: $17.33 (12-month outlook) . - **Upside Potential**: $17.33 - $16.21 = **+6.85%** . | Analyst Rating | Price Target | Upside | |-----------------|--------------|--------| | Strong Buy | $20.00 | +23.4% | | Neutral | $15.00 | -6.8% | #### 3. **Risks & Concerns** - **High Volatility**: 13.78% daily price swings . - **Competition**: Threats from larger tech firms (e.g., IBM, Microsoft) . - **Financial Health**: Negative EPS (-$0.02 TTM) and cash burn . --- ### 📉 **Why the Pullback?** - **Overbought Conditions**: RSI and KDJ indicate short-term exhaustion . - **Bearish Options Activity**: 60% of traders show bearish intent . - **Earnings Risk**: Next earnings release on **August 14, 2025** , with no immediate catalysts. --- ### 📈 **Long-Term Outlook** - **Quantum Computing Growth**: Expected to reach $10B by 2030 . - **Strategic Partnerships**: Recent deals with Yonsei University and Julich Supercomputing Center . - **Institutional Confidence**: 786.8% stake increase by Vontobel Holding Ltd. . --- ### 🎯 **Final Take** QBTS is a **high-risk, high-reward** play. While tomorrow’s price may drop to $16.21, long-term upside remains compelling for **growth-focused investors**. Stay vigilant for post-earnings volatility in August 2025.