Nowadays, the stock market's prediction is a topic that attracted researchers in the world. Stock market prediction is a process that requires a comprehensive understanding of the data stock movement and analysis it accurately. Therefore, it needs intelligent methods to deal with this task to ensure that the prediction is as correct as possible, which will return profitable benefits to investors. The main goal of this article is the employment of effective machine learning techniques to build a strong model for stock market prediction.** We evaluate V2 Retail Limited prediction models with Modular Neural Network (Speculative Sentiment Analysis) and Polynomial Regression ^{1,2,3,4} and conclude that the NSE V2RETAIL stock is predictable in the short/long term. **

**According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold NSE V2RETAIL stock.**

**NSE V2RETAIL, V2 Retail Limited, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Technical Analysis with Algorithmic Trading
- What is a prediction confidence?
- What is prediction model?

## NSE V2RETAIL Target Price Prediction Modeling Methodology

Prediction of the trend of the stock market is very crucial. If someone has robust forecasting tools, then he/she will increase the return on investment and can get rich easily and quickly. Because there are a lot of factors that can influence the stock market, the stock forecasting problem has always been very complicated. Support Vector Regression is a tool from machine learning that can build a regression model on the historical time series data in the purpose of predicting the future trend of the stock price. We consider V2 Retail Limited Stock Decision Process with Polynomial Regression where A is the set of discrete actions of NSE V2RETAIL 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(Polynomial 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+16 weeks) $\sum _{i=1}^{n}\left({a}_{i}\right)$

n:Time series to forecast

p:Price signals of NSE V2RETAIL 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?

## NSE V2RETAIL Stock Forecast (Buy or Sell) for (n+16 weeks)

**Sample Set:**Neural Network

**Stock/Index:**NSE V2RETAIL V2 Retail Limited

**Time series to forecast n: 02 Oct 2022**for (n+16 weeks)

**According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold NSE V2RETAIL 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

V2 Retail Limited assigned short-term Ba3 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (Speculative Sentiment Analysis) with Polynomial Regression ^{1,2,3,4} and conclude that the NSE V2RETAIL stock is predictable in the short/long term.**

**According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold NSE V2RETAIL stock.**

### Financial State Forecast for NSE V2RETAIL Stock Options & Futures

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

Outlook* | Ba3 | Ba3 |

Operational Risk | 75 | 60 |

Market Risk | 56 | 43 |

Technical Analysis | 88 | 83 |

Fundamental Analysis | 72 | 57 |

Risk Unsystematic | 38 | 77 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

Q: What is the prediction methodology for NSE V2RETAIL stock?A: NSE V2RETAIL stock prediction methodology: We evaluate the prediction models Modular Neural Network (Speculative Sentiment Analysis) and Polynomial Regression

Q: Is NSE V2RETAIL stock a buy or sell?

A: The dominant strategy among neural network is to Hold NSE V2RETAIL Stock.

Q: Is V2 Retail Limited stock a good investment?

A: The consensus rating for V2 Retail Limited is Hold and assigned short-term Ba3 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of NSE V2RETAIL stock?

A: The consensus rating for NSE V2RETAIL is Hold.

Q: What is the prediction period for NSE V2RETAIL stock?

A: The prediction period for NSE V2RETAIL is (n+16 weeks)