When to Sell and When to Hold FTNT Stock

Name: When to Sell and When to Hold FTNT Stock
Uploaded: Friday, September 2, 2022
Duration: 37 min 14 s
Description: When to Sell and When to Hold FTNT Stock

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.

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

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{matrix} p_{a 1} & p_{a 2} & \dots & p_{1 n} \\ ⋮ \\ p_{j 1} & p_{j 2} & \dots & p_{j n} \\ ⋮ \\ p_{k 1} & p_{k 2} & \dots & p_{k n} \\ ⋮ \\ p_{n 1} & p_{n 2} & \dots & p_{n n} \end{matrix}

X R(Modular Neural Network (Speculative Sentiment Analysis)) X S(n):→ (n+3 month)

R = (\begin{matrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 1 \end{matrix})

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

Trust metric by Neural Network: 88 out of 100 with 818 signals.

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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