SUPPLY@ME CAPITAL PLC Stock Forecast, Price & Rating (LON:SYME)

Abstract

We evaluate SUPPLY@ME CAPITAL PLC prediction models with Modular Neural Network (Market News Sentiment Analysis) and Beta^1,2,3,4 and conclude that the LON:SYME stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy LON:SYME stock.

Keywords: LON:SYME, SUPPLY@ME CAPITAL PLC, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.

Key Points

1. Short/Long Term Stocks
2. Investment Risk
3. What is prediction in deep learning?

LON:SYME Target Price Prediction Modeling Methodology

We consider SUPPLY@ME CAPITAL PLC Stock Decision Process with Beta where A is the set of discrete actions of LON:SYME 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(Beta)^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 News Sentiment Analysis)) X S(n):→ (n+8 weeks) $\sum _{i=1}^n\left(r_i\right)$

n:Time series to forecast

p:Price signals of LON:SYME 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:SYME Stock Forecast (Buy or Sell) for (n+8 weeks)

Sample Set: Neural Network
Stock/Index: LON:SYME SUPPLY@ME CAPITAL PLC
Time series to forecast n: 09 Sep 2022 for (n+8 weeks)

According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy LON:SYME 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

SUPPLY@ME CAPITAL PLC assigned short-term Ba3 & long-term B3 forecasted stock rating. We evaluate the prediction models Modular Neural Network (Market News Sentiment Analysis) with Beta^1,2,3,4 and conclude that the LON:SYME stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy LON:SYME stock.

Financial State Forecast for LON:SYME Stock Options & Futures

Rating	Short-Term	Long-Term Senior
Outlook*	Ba3	B3
Operational Risk	58	56
Market Risk	52	40
Technical Analysis	79	47
Fundamental Analysis	58	37
Risk Unsystematic	80	30

Prediction Confidence Score

Trust metric by Neural Network: 78 out of 100 with 494 signals.

References

1. Sutton RS, Barto AG. 1998. Reinforcement Learning: An Introduction. Cambridge, MA: MIT Press
2. Athey S, Blei D, Donnelly R, Ruiz F. 2017b. Counterfactual inference for consumer choice across many prod- uct categories. AEA Pap. Proc. 108:64–67
3. S. J. Russell and A. Zimdars. Q-decomposition for reinforcement learning agents. In Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, pages 656–663, 2003.
4. 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.
5. Wooldridge JM. 2010. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press
6. Clements, M. P. D. F. Hendry (1996), "Intercept corrections and structural change," Journal of Applied Econometrics, 11, 475–494.
7. Zubizarreta JR. 2015. Stable weights that balance covariates for estimation with incomplete outcome data. J. Am. Stat. Assoc. 110:910–22

Frequently Asked Questions

Q: What is the prediction methodology for LON:SYME stock?
A: LON:SYME stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market News Sentiment Analysis) and Beta
Q: Is LON:SYME stock a buy or sell?
A: The dominant strategy among neural network is to Buy LON:SYME Stock.
Q: Is SUPPLY@ME CAPITAL PLC stock a good investment?
A: The consensus rating for SUPPLY@ME CAPITAL PLC is Buy and assigned short-term Ba3 & long-term B3 forecasted stock rating.
Q: What is the consensus rating of LON:SYME stock?
A: The consensus rating for LON:SYME is Buy.
Q: What is the prediction period for LON:SYME stock?
A: The prediction period for LON:SYME is (n+8 weeks)

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