Abstract
We evaluate SAIC prediction models with Transductive Learning (ML) and Linear Regression1,2,3,4 and conclude that the SAIC stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold SAIC stock.
Keywords: SAIC, SAIC, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- Game Theory
- Should I buy stocks now or wait amid such uncertainty?
- Trading Signals

SAIC Target Price Prediction Modeling Methodology
We consider SAIC Stock Decision Process with Linear Regression where A is the set of discrete actions of SAIC stock holders, F is the set of discrete states, P : S × F × S → R is the transition probability distribution, R : S × F → R is the reaction function, and γ ∈ [0, 1] is a move factor for expectation.1,2,3,4
F(Linear Regression)5,6,7= X R(Transductive Learning (ML)) X S(n):→ (n+16 weeks)
n:Time series to forecast
p:Price signals of SAIC stock
j:Nash equilibria
k:Dominated move
a:Best response for target price
For further technical information as per how our model work we invite you to visit the article below:
How do AC Investment Research machine learning (predictive) algorithms actually work?
SAIC Stock Forecast (Buy or Sell) for (n+16 weeks)
Sample Set: Neural NetworkStock/Index: SAIC SAIC
Time series to forecast n: 02 Sep 2022 for (n+16 weeks)
According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold SAIC stock.
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 (Yellow to Green): *Technical Analysis%
Conclusions
SAIC assigned short-term B3 & long-term Caa1 forecasted stock rating. We evaluate the prediction models Transductive Learning (ML) with Linear Regression1,2,3,4 and conclude that the SAIC stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold SAIC stock.
Financial State Forecast for SAIC Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | B3 | Caa1 |
Operational Risk | 42 | 50 |
Market Risk | 39 | 35 |
Technical Analysis | 50 | 49 |
Fundamental Analysis | 68 | 34 |
Risk Unsystematic | 43 | 34 |
Prediction Confidence Score
References
- J. Filar, D. Krass, and K. Ross. Percentile performance criteria for limiting average Markov decision pro- cesses. IEEE Transaction of Automatic Control, 40(1):2–10, 1995.
- Abadie A, Diamond A, Hainmueller J. 2010. Synthetic control methods for comparative case studies: estimat- ing the effect of California's tobacco control program. J. Am. Stat. Assoc. 105:493–505
- J. Ott. A Markov decision model for a surveillance application and risk-sensitive Markov decision processes. PhD thesis, Karlsruhe Institute of Technology, 2010.
- Abadir, K. M., K. Hadri E. Tzavalis (1999), "The influence of VAR dimensions on estimator biases," Econometrica, 67, 163–181.
- R. Sutton and A. Barto. Reinforcement Learning. The MIT Press, 1998
- J. Filar, L. Kallenberg, and H. Lee. Variance-penalized Markov decision processes. Mathematics of Opera- tions Research, 14(1):147–161, 1989
- Challen, D. W. A. J. Hagger (1983), Macroeconomic Systems: Construction, Validation and Applications. New York: St. Martin's Press.
Frequently Asked Questions
Q: What is the prediction methodology for SAIC stock?A: SAIC stock prediction methodology: We evaluate the prediction models Transductive Learning (ML) and Linear Regression
Q: Is SAIC stock a buy or sell?
A: The dominant strategy among neural network is to Hold SAIC Stock.
Q: Is SAIC stock a good investment?
A: The consensus rating for SAIC is Hold and assigned short-term B3 & long-term Caa1 forecasted stock rating.
Q: What is the consensus rating of SAIC stock?
A: The consensus rating for SAIC is Hold.
Q: What is the prediction period for SAIC stock?
A: The prediction period for SAIC is (n+16 weeks)