Should You Buy LON:PEEL Right Now? (Stock Forecast)

Abstract

We evaluate PEEL HUNT LIMITED prediction models with Modular Neural Network (Market Volatility Analysis) and Polynomial Regression^1,2,3,4 and conclude that the LON:PEEL 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 Sell LON:PEEL stock.

Keywords: LON:PEEL, PEEL HUNT LIMITED, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.

Key Points

1. Fundemental Analysis with Algorithmic Trading
2. What statistical methods are used to analyze data?
3. Decision Making

LON:PEEL Target Price Prediction Modeling Methodology

We consider PEEL HUNT LIMITED Stock Decision Process with Polynomial Regression where A is the set of discrete actions of LON:PEEL 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(Polynomial 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(Modular Neural Network (Market Volatility Analysis)) X S(n):→ (n+3 month) $\sum _{i=1}^n\left(a_i\right)$

n:Time series to forecast

p:Price signals of LON:PEEL 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:PEEL Stock Forecast (Buy or Sell) for (n+3 month)

Sample Set: Neural Network
Stock/Index: LON:PEEL PEEL HUNT LIMITED
Time series to forecast n: 07 Sep 2022 for (n+3 month)

According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell LON:PEEL 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

PEEL HUNT LIMITED assigned short-term Caa2 & long-term B1 forecasted stock rating. We evaluate the prediction models Modular Neural Network (Market Volatility Analysis) with Polynomial Regression^1,2,3,4 and conclude that the LON:PEEL 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 Sell LON:PEEL stock.

Financial State Forecast for LON:PEEL Stock Options & Futures

Rating	Short-Term	Long-Term Senior
Outlook*	Caa2	B1
Operational Risk	32	31
Market Risk	37	76
Technical Analysis	53	78
Fundamental Analysis	73	41
Risk Unsystematic	34	71

Prediction Confidence Score

Trust metric by Neural Network: 88 out of 100 with 527 signals.

References

1. M. L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Ma- chine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994, pages 157–163, 1994
2. R. Sutton and A. Barto. Reinforcement Learning. The MIT Press, 1998
3. Mnih A, Teh YW. 2012. A fast and simple algorithm for training neural probabilistic language models. In Proceedings of the 29th International Conference on Machine Learning, pp. 419–26. La Jolla, CA: Int. Mach. Learn. Soc.
4. Bessler, D. A. S. W. Fuller (1993), "Cointegration between U.S. wheat markets," Journal of Regional Science, 33, 481–501.
5. F. A. Oliehoek, M. T. J. Spaan, and N. A. Vlassis. Optimal and approximate q-value functions for decentralized pomdps. J. Artif. Intell. Res. (JAIR), 32:289–353, 2008
6. Imbens GW, Rubin DB. 2015. Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge, UK: Cambridge Univ. Press
7. Bertsimas D, King A, Mazumder R. 2016. Best subset selection via a modern optimization lens. Ann. Stat. 44:813–52

Frequently Asked Questions

Q: What is the prediction methodology for LON:PEEL stock?
A: LON:PEEL stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market Volatility Analysis) and Polynomial Regression
Q: Is LON:PEEL stock a buy or sell?
A: The dominant strategy among neural network is to Sell LON:PEEL Stock.
Q: Is PEEL HUNT LIMITED stock a good investment?
A: The consensus rating for PEEL HUNT LIMITED is Sell and assigned short-term Caa2 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of LON:PEEL stock?
A: The consensus rating for LON:PEEL is Sell.
Q: What is the prediction period for LON:PEEL stock?
A: The prediction period for LON:PEEL is (n+3 month)

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