AUC Score :
Short-term Tactic1 :
Dominant Strategy :
Time series to forecast n:
ML Model Testing : Modular Neural Network (Market News Sentiment Analysis)
Hypothesis Testing : Chi-Square
Surveillance : Major exchange and OTC
1Short-term revised.
2Time series is updated based on short-term trends.
Key Points
MVIS is poised for significant growth driven by its advancements in lidar technology, positioning it as a key player in the burgeoning autonomous vehicle and augmented reality markets. However, this optimistic outlook carries substantial risks, including intense competition from established automotive suppliers and tech giants, potential delays in widespread lidar adoption, and the inherent volatility of a company reliant on disruptive innovation and market acceptance. The company's ability to secure sufficient funding and execute its manufacturing scale-up effectively also presents a considerable risk factor that could impede its projected trajectory.About MVIS
This exclusive content is only available to premium users.
ML Model Testing
n:Time series to forecast
p:Price signals of MVIS stock
j:Nash equilibria (Neural Network)
k:Dominated move of MVIS stock holders
a:Best response for MVIS target price
For further technical information as per how our model work we invite you to visit the article below:
How do KappaSignal algorithms actually work?
MVIS Stock Forecast (Buy or Sell) Strategic Interaction Table
Strategic Interaction Table Legend:
X axis: *Likelihood% (The higher the percentage value, the more likely the event will occur.)
Y axis: *Potential Impact% (The higher the percentage value, the more likely the price will deviate.)
Z axis (Grey to Black): *Technical Analysis%
| Rating | Short-Term | Long-Term Senior |
|---|---|---|
| Outlook | B2 | B1 |
| Income Statement | B3 | C |
| Balance Sheet | Caa2 | B3 |
| Leverage Ratios | Caa2 | Ba3 |
| Cash Flow | Baa2 | Baa2 |
| Rates of Return and Profitability | B2 | C |
*Financial analysis is the process of evaluating a company's financial performance and position by neural network. It involves reviewing the company's financial statements, including the balance sheet, income statement, and cash flow statement, as well as other financial reports and documents.
How does neural network examine financial reports and understand financial state of the company?
References
- Imbens GW, Rubin DB. 2015. Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge, UK: Cambridge Univ. Press
- Kallus N. 2017. Balanced policy evaluation and learning. arXiv:1705.07384 [stat.ML]
- R. Williams. Simple statistical gradient-following algorithms for connectionist reinforcement learning. Ma- chine learning, 8(3-4):229–256, 1992
- Z. Wang, T. Schaul, M. Hessel, H. van Hasselt, M. Lanctot, and N. de Freitas. Dueling network architectures for deep reinforcement learning. In Proceedings of the International Conference on Machine Learning (ICML), pages 1995–2003, 2016.
- M. Sobel. The variance of discounted Markov decision processes. Applied Probability, pages 794–802, 1982
- Jiang N, Li L. 2016. Doubly robust off-policy value evaluation for reinforcement learning. In Proceedings of the 33rd International Conference on Machine Learning, pp. 652–61. La Jolla, CA: Int. Mach. Learn. Soc.
- L. Panait and S. Luke. Cooperative multi-agent learning: The state of the art. Autonomous Agents and Multi-Agent Systems, 11(3):387–434, 2005.