## Abstract

**We evaluate Budapest SE Index prediction models with Modular Neural Network (Speculative Sentiment Analysis) and Linear 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+1 year) period: The dominant strategy among neural network is to Buy 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

- Market Outlook
- What are the most successful trading algorithms?
- Technical Analysis with Algorithmic Trading

## Budapest SE Index Target Price Prediction Modeling Methodology

We consider Budapest SE Index Stock Decision Process with Linear 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 Î³ ∈ [0, 1] is a move factor for expectation.^{1,2,3,4}

F(Linear 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 (Speculative Sentiment Analysis)) X S(n):→ (n+1 year) $\sum _{i=1}^{n}\left({r}_{i}\right)$

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+1 year)

**Sample Set:**Neural Network

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

**Time series to forecast n: 03 Sep 2022**for (n+1 year)

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Buy 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 B1 & long-term B2 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (Speculative Sentiment Analysis) with Linear 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+1 year) period: The dominant strategy among neural network is to Buy Budapest SE Index stock.**

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

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

Outlook* | B1 | B2 |

Operational Risk | 41 | 42 |

Market Risk | 38 | 49 |

Technical Analysis | 86 | 66 |

Fundamental Analysis | 89 | 45 |

Risk Unsystematic | 42 | 44 |

### Prediction Confidence Score

## References

- Banerjee, A., J. J. Dolado, J. W. Galbraith, D. F. Hendry (1993), Co-integration, Error-correction, and the Econometric Analysis of Non-stationary Data. Oxford: Oxford University Press.
- Greene WH. 2000. Econometric Analysis. Upper Saddle River, N J: Prentice Hall. 4th ed.
- K. Tumer and D. Wolpert. A survey of collectives. In K. Tumer and D. Wolpert, editors, Collectives and the Design of Complex Systems, pages 1–42. Springer, 2004.
- P. Marbach. Simulated-Based Methods for Markov Decision Processes. PhD thesis, Massachusetts Institute of Technology, 1998
- Kitagawa T, Tetenov A. 2015. Who should be treated? Empirical welfare maximization methods for treatment choice. Tech. Rep., Cent. Microdata Methods Pract., Inst. Fiscal Stud., London
- E. Altman. Constrained Markov decision processes, volume 7. CRC Press, 1999
- Imbens G, Wooldridge J. 2009. Recent developments in the econometrics of program evaluation. J. Econ. Lit. 47:5–86

## 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 (Speculative Sentiment Analysis) and Linear Regression

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

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

Q: Is Budapest SE Index stock a good investment?

A: The consensus rating for Budapest SE Index is Buy and assigned short-term B1 & 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 Buy.

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

A: The prediction period for Budapest SE Index is (n+1 year)