NEXTENERGY SOLAR FUND LIMITED Stock Forecast, Price & Rating (LON:NESF)

Abstract

We evaluate NEXTENERGY SOLAR FUND LIMITED prediction models with Ensemble Learning (ML) and Multiple Regression^1,2,3,4 and conclude that the LON:NESF stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell LON:NESF stock.

Keywords: LON:NESF, NEXTENERGY SOLAR FUND LIMITED, 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 decide buy or sell a stock?
2. What is Markov decision process in reinforcement learning?
3. What is neural prediction?

LON:NESF Target Price Prediction Modeling Methodology

We consider NEXTENERGY SOLAR FUND LIMITED Stock Decision Process with Multiple Regression where A is the set of discrete actions of LON:NESF 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(Multiple Regression)^5,6,7= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Ensemble Learning (ML)) X S(n):→ (n+1 year) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of LON:NESF 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?

LON:NESF Stock Forecast (Buy or Sell) for (n+1 year)

Sample Set: Neural Network
Stock/Index: LON:NESF NEXTENERGY SOLAR FUND LIMITED
Time series to forecast n: 06 Sep 2022 for (n+1 year)

According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell LON:NESF 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

NEXTENERGY SOLAR FUND LIMITED assigned short-term Ba2 & long-term B2 forecasted stock rating. We evaluate the prediction models Ensemble Learning (ML) with Multiple Regression^1,2,3,4 and conclude that the LON:NESF stock is predictable in the short/long term. According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Sell LON:NESF stock.

Financial State Forecast for LON:NESF Stock Options & Futures

Rating	Short-Term	Long-Term Senior
Outlook*	Ba2	B2
Operational Risk	61	31
Market Risk	79	48
Technical Analysis	58	75
Fundamental Analysis	67	47
Risk Unsystematic	77	74

Prediction Confidence Score

Trust metric by Neural Network: 81 out of 100 with 816 signals.

References

1. K. Boda, J. Filar, Y. Lin, and L. Spanjers. Stochastic target hitting time and the problem of early retirement. Automatic Control, IEEE Transactions on, 49(3):409–419, 2004
2. R. Howard and J. Matheson. Risk sensitive Markov decision processes. Management Science, 18(7):356– 369, 1972
3. 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.
4. H. Khalil and J. Grizzle. Nonlinear systems, volume 3. Prentice hall Upper Saddle River, 2002.
5. Jiang N, Li L. 2016. Doubly robust off-policy value evaluation for reinforcement learning. In Proceedings of the 33rd International Conference on Machine Learning, pp. 652–61. La Jolla, CA: Int. Mach. Learn. Soc.
6. Schapire RE, Freund Y. 2012. Boosting: Foundations and Algorithms. Cambridge, MA: MIT Press
7. G. Konidaris, S. Osentoski, and P. Thomas. Value function approximation in reinforcement learning using the Fourier basis. In AAAI, 2011

Frequently Asked Questions

Q: What is the prediction methodology for LON:NESF stock?
A: LON:NESF stock prediction methodology: We evaluate the prediction models Ensemble Learning (ML) and Multiple Regression
Q: Is LON:NESF stock a buy or sell?
A: The dominant strategy among neural network is to Sell LON:NESF Stock.
Q: Is NEXTENERGY SOLAR FUND LIMITED stock a good investment?
A: The consensus rating for NEXTENERGY SOLAR FUND LIMITED is Sell and assigned short-term Ba2 & long-term B2 forecasted stock rating.
Q: What is the consensus rating of LON:NESF stock?
A: The consensus rating for LON:NESF is Sell.
Q: What is the prediction period for LON:NESF stock?
A: The prediction period for LON:NESF is (n+1 year)

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