Short - term price movements, contribute a considerable measure to the unpredictability of the securities exchanges. Accurately predicting the price fluctuations in stock market is a huge economical advantage. The aforementioned task is generally achieved by analyzing the company, this is called as fundamental analysis. Another method, which is undergoing a lot of research work recently, is to create a predictive algorithmic model using machine learning. To train machines to take trading decisions in such short - period of time, the latter method needs to be adopted. Deep Neural Networks, being the most exceptional innovation in Machine Learning, have been utilized to develop a short-term prediction model. ** We evaluate Budapest SE Index prediction models with Modular Neural Network (CNN Layer) and Stepwise Regression ^{1,2,3,4} and conclude that the Budapest SE Index stock is predictable in the short/long term. **

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold Budapest SE Index stock.**

**Budapest SE Index, Budapest SE Index, 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
- Stock Rating
- Which neural network is best for prediction?

## Budapest SE Index Target Price Prediction Modeling Methodology

In this paper, we introduce a new prediction model depend on Bidirectional Gated Recurrent Unit (BGRU). Our predictive model relies on both online financial news and historical stock prices data to predict the stock movements in the future. We consider Budapest SE Index Stock Decision Process with Stepwise Regression where A is the set of discrete actions of Budapest SE Index 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(Stepwise 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(Modular Neural Network (CNN Layer)) X S(n):→ (n+4 weeks) $R=\left(\begin{array}{ccc}1& 0& 0\\ 0& 1& 0\\ 0& 0& 1\end{array}\right)$

n:Time series to forecast

p:Price signals of Budapest SE Index 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?

## Budapest SE Index Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

**Stock/Index:**Budapest SE Index Budapest SE Index

**Time series to forecast n: 10 Oct 2022**for (n+4 weeks)

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold Budapest SE Index 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

Budapest SE Index assigned short-term Caa2 & long-term B2 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (CNN Layer) with Stepwise Regression ^{1,2,3,4} and conclude that the Budapest SE Index stock is predictable in the short/long term.**

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Hold Budapest SE Index stock.**

### Financial State Forecast for Budapest SE Index Stock Options & Futures

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

Outlook* | Caa2 | B2 |

Operational Risk | 35 | 73 |

Market Risk | 41 | 47 |

Technical Analysis | 32 | 51 |

Fundamental Analysis | 59 | 51 |

Risk Unsystematic | 59 | 34 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

Q: What is the prediction methodology for Budapest SE Index stock?A: Budapest SE Index stock prediction methodology: We evaluate the prediction models Modular Neural Network (CNN Layer) and Stepwise Regression

Q: Is Budapest SE Index stock a buy or sell?

A: The dominant strategy among neural network is to Hold Budapest SE Index Stock.

Q: Is Budapest SE Index stock a good investment?

A: The consensus rating for Budapest SE Index is Hold and assigned short-term Caa2 & long-term B2 forecasted stock rating.

Q: What is the consensus rating of Budapest SE Index stock?

A: The consensus rating for Budapest SE Index is Hold.

Q: What is the prediction period for Budapest SE Index stock?

A: The prediction period for Budapest SE Index is (n+4 weeks)