## Abstract

**We evaluate Fortinet prediction models with Modular Neural Network (Speculative Sentiment Analysis) and Stepwise Regression ^{1,2,3,4} and conclude that the FTNT stock is predictable in the short/long term. **

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold FTNT stock.**

**FTNT, Fortinet, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Can statistics predict the future?
- Fundemental Analysis with Algorithmic Trading
- Is Target price a good indicator?

## FTNT Target Price Prediction Modeling Methodology

We consider Fortinet Stock Decision Process with Stepwise Regression where A is the set of discrete actions of FTNT 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(Stepwise Regression)

^{5,6,7}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Modular Neural Network (Speculative Sentiment Analysis)) X S(n):→ (n+3 month) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of FTNT 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?

## FTNT Stock Forecast (Buy or Sell) for (n+3 month)

**Sample Set:**Neural Network

**Stock/Index:**FTNT Fortinet

**Time series to forecast n: 02 Sep 2022**for (n+3 month)

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold FTNT 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

Fortinet assigned short-term Caa2 & long-term B3 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (Speculative Sentiment Analysis) with Stepwise Regression ^{1,2,3,4} and conclude that the FTNT stock is predictable in the short/long term.**

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold FTNT stock.**

### Financial State Forecast for FTNT Stock Options & Futures

Rating | Short-Term | Long-Term Senior |
---|---|---|

Outlook* | Caa2 | B3 |

Operational Risk | 31 | 73 |

Market Risk | 31 | 41 |

Technical Analysis | 86 | 30 |

Fundamental Analysis | 41 | 35 |

Risk Unsystematic | 31 | 51 |

### Prediction Confidence Score

## References

- Robins J, Rotnitzky A. 1995. Semiparametric efficiency in multivariate regression models with missing data. J. Am. Stat. Assoc. 90:122–29
- E. Altman. Constrained Markov decision processes, volume 7. CRC Press, 1999
- J. Z. Leibo, V. Zambaldi, M. Lanctot, J. Marecki, and T. Graepel. Multi-agent Reinforcement Learning in Sequential Social Dilemmas. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017), Sao Paulo, Brazil, 2017
- White H. 1992. Artificial Neural Networks: Approximation and Learning Theory. Oxford, UK: Blackwell
- Cortes C, Vapnik V. 1995. Support-vector networks. Mach. Learn. 20:273–97
- A. K. Agogino and K. Tumer. Analyzing and visualizing multiagent rewards in dynamic and stochastic environments. Journal of Autonomous Agents and Multi-Agent Systems, 17(2):320–338, 2008
- B. Derfer, N. Goodyear, K. Hung, C. Matthews, G. Paoni, K. Rollins, R. Rose, M. Seaman, and J. Wiles. Online marketing platform, August 17 2007. US Patent App. 11/893,765

## Frequently Asked Questions

Q: What is the prediction methodology for FTNT stock?A: FTNT stock prediction methodology: We evaluate the prediction models Modular Neural Network (Speculative Sentiment Analysis) and Stepwise Regression

Q: Is FTNT stock a buy or sell?

A: The dominant strategy among neural network is to Hold FTNT Stock.

Q: Is Fortinet stock a good investment?

A: The consensus rating for Fortinet is Hold and assigned short-term Caa2 & long-term B3 forecasted stock rating.

Q: What is the consensus rating of FTNT stock?

A: The consensus rating for FTNT is Hold.

Q: What is the prediction period for FTNT stock?

A: The prediction period for FTNT is (n+3 month)

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