## 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.**

**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.**

*Keywords:*## Key Points

- Short/Long Term Stocks
- Investment Risk
- 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}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ 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

## References

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- 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
- 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.
- 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.
- Wooldridge JM. 2010. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press
- Clements, M. P. D. F. Hendry (1996), "Intercept corrections and structural change," Journal of Applied Econometrics, 11, 475–494.
- 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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