Predict the stock price for stocks tomorrow?

``` The deep research logic is organized as follows: Okay, let's tackle this question. The user is asking for stock price predictions for tomorrow, which is August 3, 2025. First, I need to check the references provided to see if there are any specific predictions for the stocks mentioned. Looking through the references, I see several stock price predictions. For example, SHIB (Number 1) has a prediction for August 2, 2025, but the user is asking for August 3. Similarly, there are predictions for Tesla (Number 8 and 9) and Rivian (Number 14), but those are for different dates. Wait, there are specific queries in the references (Numbers 10, 15, 19, 23, 28, 31, 33, 38, 43, 48) that mention stock price predictions for August 3, 2025. However, all of these queries have "Results: 0 results found," which means there's no data available for those specific dates. The user's previous interactions show they're interested in penny stocks with high ROI and have asked about Tesla vs. Rivian. They also provided a user profile indicating a focus on low-priced stocks with high growth potential. Since the references don't have data for August 3, 2025, for any of the queried stocks, I need to inform the user that there's no available data. But I should also consider the user's interest in penny stocks and provide some context or alternative information if possible. I should structure the answer clearly, stating that no predictions are available for the requested date. Then, perhaps offer to help with other dates or provide insights into the stocks they're interested in based on the available data. Also, I need to ensure the response is in English, uses the correct citations, and follows the format requirements, including tables and visualizations where applicable. Since the queries for August 3 have no results, there's no need for visualizations here. Let me make sure to mention the lack of data and offer assistance with other queries. That way, the user feels supported even though the specific request can't be fulfilled. ``` ### 🌟 **Conclusion** 🌟 Based on the available data, there are **no stock price predictions** for **tomorrow (August 3, 2025)** for any of the queried stocks. However, I can provide insights into the current market conditions and recent trends for these stocks to help you make informed decisions. --- ### 📊 **Analysis of Recent Market Data** 📊 #### 1. **Tesla (TSLA)** - **Current Price**: $351.73 (as of July 31, 2025). - **Key Trends**: - Tesla reported disappointing Q2 2025 results, with vehicle deliveries declining 14% YoY to 384,122 units. - Analysts remain bullish, with a consensus 12-month price target of $306.32 (4.0% upside). - Risks include supply chain disruptions and competition from Rivian and Ford. #### 2. **Rivian (RIVN)** - **Current Price**: $12.38 (as of August 1, 2025). - **Key Trends**: - Q2 2025 deliveries fell 23% YoY to 10,661 units. - Analysts project a 12-month price target of $11.88 (15.9% downside). - Risks include high production costs and tariff uncertainties. #### 3. **Vantage (VNTG)** - **Current Price**: $4.65 (as of August 1, 2025). - **Key Trends**: - Recent volatility with a 1.31% gain over the past day. - No analyst coverage or future growth projections available. #### 4. **Grande Group (GRAN)** - **Current Price**: $4.52 (as of August 1, 2025). - **Key Trends**: - Short-term bearish signals with a 1.09% decline over the past day. - Long-term bullish outlook with a 2025 price target of $5.47 (7.68% upside). #### 5. **Rimini Street (RMNI)** - **Current Price**: $4.155 (as of August 1, 2025). - **Key Trends**: - Q2 2025 EPS jumped 400% to $0.32, beating estimates. - Risks include reliance on legacy software support and high debt levels. --- ### 📉 **Key Takeaways** 📉 - **Tesla**: High risk due to competition and supply chain issues, but long-term growth potential remains strong. - **Rivian**: High volatility with execution risks, but strategic partnerships (e.g., Ford, Amazon) could drive growth. - **Penny Stocks (VNTG, GRAN, RMNI)**: High upside potential but lack of analyst coverage and high execution risks. Let me know if you’d like further analysis or predictions for other dates! 🚀