Is now good time to invest? (NEE Stock Forecast)


Abstract

We evaluate NextEra Energy prediction models with Statistical Inference (ML) and Factor1,2,3,4 and conclude that the NEE 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 Strong SellBuy NEE stock.


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

Key Points

  1. How do you know when a stock will go up or down?
  2. What is the best way to predict stock prices?
  3. Stock Forecast Based On a Predictive Algorithm

NEE Target Price Prediction Modeling Methodology

We consider NextEra Energy Stock Decision Process with Factor where A is the set of discrete actions of NEE 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(Factor)5,6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Statistical Inference (ML)) X S(n):→ (n+16 weeks) S = s 1 s 2 s 3

n:Time series to forecast

p:Price signals of NEE 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?

NEE Stock Forecast (Buy or Sell) for (n+16 weeks)

Sample Set: Neural Network
Stock/Index: NEE NextEra Energy
Time series to forecast n: 07 Sep 2022 for (n+16 weeks)

According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Strong SellBuy NEE 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

NextEra Energy assigned short-term Caa2 & long-term B2 forecasted stock rating. We evaluate the prediction models Statistical Inference (ML) with Factor1,2,3,4 and conclude that the NEE 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 Strong SellBuy NEE stock.

Financial State Forecast for NEE Stock Options & Futures

Rating Short-Term Long-Term Senior
Outlook*Caa2B2
Operational Risk 4561
Market Risk5644
Technical Analysis5339
Fundamental Analysis3237
Risk Unsystematic3678

Prediction Confidence Score

Trust metric by Neural Network: 83 out of 100 with 458 signals.

References

  1. R. Rockafellar and S. Uryasev. Conditional value-at-risk for general loss distributions. Journal of Banking and Finance, 26(7):1443 – 1471, 2002
  2. V. Konda and J. Tsitsiklis. Actor-Critic algorithms. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1008–1014, 2000
  3. Bai J. 2003. Inferential theory for factor models of large dimensions. Econometrica 71:135–71
  4. O. Bardou, N. Frikha, and G. Pag`es. Computing VaR and CVaR using stochastic approximation and adaptive unconstrained importance sampling. Monte Carlo Methods and Applications, 15(3):173–210, 2009.
  5. T. Morimura, M. Sugiyama, M. Kashima, H. Hachiya, and T. Tanaka. Nonparametric return distribution ap- proximation for reinforcement learning. In Proceedings of the 27th International Conference on Machine Learning, pages 799–806, 2010
  6. M. Babes, E. M. de Cote, and M. L. Littman. Social reward shaping in the prisoner's dilemma. In 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 3, pages 1389–1392, 2008.
  7. D. S. Bernstein, S. Zilberstein, and N. Immerman. The complexity of decentralized control of Markov Decision Processes. In UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30 - July 3, 2000, pages 32–37, 2000.
Frequently Asked QuestionsQ: What is the prediction methodology for NEE stock?
A: NEE stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Factor
Q: Is NEE stock a buy or sell?
A: The dominant strategy among neural network is to Strong SellBuy NEE Stock.
Q: Is NextEra Energy stock a good investment?
A: The consensus rating for NextEra Energy is Strong SellBuy and assigned short-term Caa2 & long-term B2 forecasted stock rating.
Q: What is the consensus rating of NEE stock?
A: The consensus rating for NEE is Strong SellBuy.
Q: What is the prediction period for NEE stock?
A: The prediction period for NEE is (n+16 weeks)

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