Is LON:SUP Stock Expected to Go Up? (Stock Forecast)

Abstract

We evaluate SUPREME PLC prediction models with Reinforcement Machine Learning (ML) and Multiple Regression^1,2,3,4 and conclude that the LON:SUP stock is predictable in the short/long term. According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Buy LON:SUP stock.

Keywords: LON:SUP, SUPREME PLC, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.

Key Points

1. Investment Risk
2. How do you know when a stock will go up or down?
3. Stock Rating

LON:SUP Target Price Prediction Modeling Methodology

We consider SUPREME PLC Stock Decision Process with Multiple Regression where A is the set of discrete actions of LON:SUP 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(Reinforcement Machine Learning (ML)) X S(n):→ (n+6 month) $\begin{array}{l}\int r^s\mathrm{rs}\end{array}$

n:Time series to forecast

p:Price signals of LON:SUP 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:SUP Stock Forecast (Buy or Sell) for (n+6 month)

Sample Set: Neural Network
Stock/Index: LON:SUP SUPREME PLC
Time series to forecast n: 08 Sep 2022 for (n+6 month)

According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Buy LON:SUP 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

SUPREME PLC assigned short-term B1 & long-term Ba1 forecasted stock rating. We evaluate the prediction models Reinforcement Machine Learning (ML) with Multiple Regression^1,2,3,4 and conclude that the LON:SUP stock is predictable in the short/long term. According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Buy LON:SUP stock.

Financial State Forecast for LON:SUP Stock Options & Futures

Rating	Short-Term	Long-Term Senior
Outlook*	B1	Ba1
Operational Risk	34	71
Market Risk	73	62
Technical Analysis	52	81
Fundamental Analysis	77	84
Risk Unsystematic	55	52

Prediction Confidence Score

Trust metric by Neural Network: 74 out of 100 with 505 signals.

References

1. V. Borkar. An actor-critic algorithm for constrained Markov decision processes. Systems & Control Letters, 54(3):207–213, 2005.
2. A. Tamar, Y. Glassner, and S. Mannor. Policy gradients beyond expectations: Conditional value-at-risk. In AAAI, 2015
3. Christou, C., P. A. V. B. Swamy G. S. Tavlas (1996), "Modelling optimal strategies for the allocation of wealth in multicurrency investments," International Journal of Forecasting, 12, 483–493.
4. uyer, S. Whiteson, B. Bakker, and N. A. Vlassis. Multiagent reinforcement learning for urban traffic control using coordination graphs. In Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I, pages 656–671, 2008.
5. Mnih A, Hinton GE. 2007. Three new graphical models for statistical language modelling. In International Conference on Machine Learning, pp. 641–48. La Jolla, CA: Int. Mach. Learn. Soc.
6. Wager S, Athey S. 2017. Estimation and inference of heterogeneous treatment effects using random forests. J. Am. Stat. Assoc. 113:1228–42
7. A. Tamar, D. Di Castro, and S. Mannor. Policy gradients with variance related risk criteria. In Proceedings of the Twenty-Ninth International Conference on Machine Learning, pages 387–396, 2012.

Frequently Asked Questions

Q: What is the prediction methodology for LON:SUP stock?
A: LON:SUP stock prediction methodology: We evaluate the prediction models Reinforcement Machine Learning (ML) and Multiple Regression
Q: Is LON:SUP stock a buy or sell?
A: The dominant strategy among neural network is to Buy LON:SUP Stock.
Q: Is SUPREME PLC stock a good investment?
A: The consensus rating for SUPREME PLC is Buy and assigned short-term B1 & long-term Ba1 forecasted stock rating.
Q: What is the consensus rating of LON:SUP stock?
A: The consensus rating for LON:SUP is Buy.
Q: What is the prediction period for LON:SUP stock?
A: The prediction period for LON:SUP is (n+6 month)