How to predict stock price movements based on quantitative market data modeling is an attractive topic. In front of the market news and stock prices that are commonly believed as two important market data sources, how to extract and exploit the hidden information within the raw data and make both accurate and fast predictions simultaneously becomes a challenging problem. In this paper, we present the design and architecture of our trading signal mining platform that employs extreme learning machine (ELM) to make stock price prediction based on those two data sources concurrently.** We evaluate SOPHEON PLC prediction models with Statistical Inference (ML) and Logistic Regression ^{1,2,3,4} and conclude that the LON:SPE 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 Hold LON:SPE stock.**

**LON:SPE, SOPHEON PLC, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Is Target price a good indicator?
- Is it better to buy and sell or hold?
- Trading Interaction

## LON:SPE Target Price Prediction Modeling Methodology

The main objective of this research is to predict the market performance on day closing using different machine learning techniques. The prediction model uses different attributes as an input and predicts market as Positive & Negative. We consider SOPHEON PLC Stock Decision Process with Logistic Regression where A is the set of discrete actions of LON:SPE 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(Logistic Regression)

^{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(Statistical Inference (ML)) X S(n):→ (n+8 weeks) $\sum _{i=1}^{n}\left({r}_{i}\right)$

n:Time series to forecast

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

**Sample Set:**Neural Network

**Stock/Index:**LON:SPE SOPHEON PLC

**Time series to forecast n: 07 Oct 2022**for (n+8 weeks)

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

SOPHEON PLC assigned short-term B3 & long-term B1 forecasted stock rating.** We evaluate the prediction models Statistical Inference (ML) with Logistic Regression ^{1,2,3,4} and conclude that the LON:SPE 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 Hold LON:SPE stock.**

### Financial State Forecast for LON:SPE Stock Options & Futures

Rating | Short-Term | Long-Term Senior |
---|---|---|

Outlook* | B3 | B1 |

Operational Risk | 40 | 74 |

Market Risk | 44 | 42 |

Technical Analysis | 46 | 72 |

Fundamental Analysis | 37 | 43 |

Risk Unsystematic | 80 | 46 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

Q: What is the prediction methodology for LON:SPE stock?A: LON:SPE stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Logistic Regression

Q: Is LON:SPE stock a buy or sell?

A: The dominant strategy among neural network is to Hold LON:SPE Stock.

Q: Is SOPHEON PLC stock a good investment?

A: The consensus rating for SOPHEON PLC is Hold and assigned short-term B3 & long-term B1 forecasted stock rating.

Q: What is the consensus rating of LON:SPE stock?

A: The consensus rating for LON:SPE is Hold.

Q: What is the prediction period for LON:SPE stock?

A: The prediction period for LON:SPE is (n+8 weeks)