## 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= $\begin{array}{cccc}{p}_{a1}& {p}_{a2}& \dots & {p}_{1n}\\ & ⋮\\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & ⋮\\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & ⋮\\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Statistical Inference (ML)) X S(n):→ (n+16 weeks) $\stackrel{\to }{S}=\left({s}_{1},{s}_{2},{s}_{3}\right)$

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

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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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