AUC Score :
Short-Term Revised1 :
Dominant Strategy :
Time series to forecast n:
ML Model Testing : Modular Neural Network (Market News Sentiment Analysis)
Hypothesis Testing : Sign Test
Surveillance : Major exchange and OTC
1The accuracy of the model is being monitored on a regular basis.(15-minute period)
2Time series is updated based on short-term trends.
Key Points
Model N's stock is expected to benefit from continued growth in the cloud-based software market, particularly in the life sciences and high-tech industries. The company's focus on revenue management and pricing optimization solutions should continue to drive adoption. However, risks include potential competition from larger software companies, economic downturns that may impact customer spending, and challenges in integrating acquisitions.About Model N
This exclusive content is only available to premium users.ML Model Testing
n:Time series to forecast
p:Price signals of MODN stock
j:Nash equilibria (Neural Network)
k:Dominated move of MODN stock holders
a:Best response for MODN 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?
MODN 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 | Ba1 | Caa2 |
Balance Sheet | Caa2 | Caa2 |
Leverage Ratios | B3 | Baa2 |
Cash Flow | C | C |
Rates of Return and Profitability | Ba2 | Baa2 |
*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?This exclusive content is only available to premium users.This exclusive content is only available to premium users.This exclusive content is only available to premium users.This exclusive content is only available to premium users.
References
- Cortes C, Vapnik V. 1995. Support-vector networks. Mach. Learn. 20:273–97
- Efron B, Hastie T. 2016. Computer Age Statistical Inference, Vol. 5. Cambridge, UK: Cambridge Univ. Press
- R. Sutton and A. Barto. Introduction to reinforcement learning. MIT Press, 1998
- 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.
- E. Altman. Constrained Markov decision processes, volume 7. CRC Press, 1999
- M. Sobel. The variance of discounted Markov decision processes. Applied Probability, pages 794–802, 1982
- Chen, C. L. Liu (1993), "Joint estimation of model parameters and outlier effects in time series," Journal of the American Statistical Association, 88, 284–297.