The stock market is very volatile and non-stationary and generates huge volumes of data in every second. In this article, the existing machine learning algorithms are analyzed for stock market forecasting and also a new pattern-finding algorithm for forecasting stock trend is developed. Three approaches can be used to solve the problem: fundamental analysis, technical analysis, and the machine learning. Experimental analysis done in this article shows that the machine learning could be useful for investors to make profitable decisions.** We evaluate Sanghvi Movers Limited prediction models with Inductive Learning (ML) and Logistic Regression ^{1,2,3,4} and conclude that the NSE SANGHVIMOV stock is predictable in the short/long term. **

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell NSE SANGHVIMOV stock.**

**NSE SANGHVIMOV, Sanghvi Movers Limited, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- What is the use of Markov decision process?
- Market Risk
- Can machine learning predict?

## NSE SANGHVIMOV Target Price Prediction Modeling Methodology

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange. The successful prediction of a stock's future price will maximize investor's gains. This paper proposes a machine learning model to predict stock market price. We consider Sanghvi Movers Limited Stock Decision Process with Logistic Regression where A is the set of discrete actions of NSE SANGHVIMOV 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(Inductive Learning (ML)) X S(n):→ (n+3 month) $\sum _{i=1}^{n}\left({r}_{i}\right)$

n:Time series to forecast

p:Price signals of NSE SANGHVIMOV 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 SANGHVIMOV Stock Forecast (Buy or Sell) for (n+3 month)

**Sample Set:**Neural Network

**Stock/Index:**NSE SANGHVIMOV Sanghvi Movers Limited

**Time series to forecast n: 28 Sep 2022**for (n+3 month)

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell NSE SANGHVIMOV 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

Sanghvi Movers Limited assigned short-term B3 & long-term B1 forecasted stock rating.** We evaluate the prediction models Inductive Learning (ML) with Logistic Regression ^{1,2,3,4} and conclude that the NSE SANGHVIMOV stock is predictable in the short/long term.**

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Sell NSE SANGHVIMOV stock.**

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

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

Outlook* | B3 | B1 |

Operational Risk | 32 | 66 |

Market Risk | 48 | 55 |

Technical Analysis | 42 | 54 |

Fundamental Analysis | 47 | 49 |

Risk Unsystematic | 82 | 78 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

Q: What is the prediction methodology for NSE SANGHVIMOV stock?A: NSE SANGHVIMOV stock prediction methodology: We evaluate the prediction models Inductive Learning (ML) and Logistic Regression

Q: Is NSE SANGHVIMOV stock a buy or sell?

A: The dominant strategy among neural network is to Sell NSE SANGHVIMOV Stock.

Q: Is Sanghvi Movers Limited stock a good investment?

A: The consensus rating for Sanghvi Movers Limited is Sell and assigned short-term B3 & long-term B1 forecasted stock rating.

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

A: The consensus rating for NSE SANGHVIMOV is Sell.

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

A: The prediction period for NSE SANGHVIMOV is (n+3 month)