This paper examines the theory and practice of regression techniques for prediction of stock price trend by using a transformed data set in ordinal data format. The original pretransformed data source contains data of heterogeneous data types used for handling of currency values and financial ratios. The data formats in currency values and financial ratios provide a process for computation of stock prices. The transformed data set contains only a standardized ordinal data type which provides a process to measure rankings of stock price trends.** We evaluate Apcotex Industries Limited prediction models with Modular Neural Network (Emotional Trigger/Responses Analysis) and Linear Regression ^{1,2,3,4} and conclude that the NSE APCOTEXIND 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 Buy NSE APCOTEXIND stock.**

**NSE APCOTEXIND, Apcotex Industries Limited, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Is now good time to invest?
- Can neural networks predict stock market?
- Dominated Move

## NSE APCOTEXIND Target Price Prediction Modeling Methodology

One decision in Stock Market can make huge impact on an investor's life. The stock market is a complex system and often covered in mystery, it is therefore, very difficult to analyze all the impacting factors before making a decision. In this research, we have tried to design a stock market prediction model which is based on different factors. We consider Apcotex Industries Limited Stock Decision Process with Linear Regression where A is the set of discrete actions of NSE APCOTEXIND 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(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 (Emotional Trigger/Responses Analysis)) X S(n):→ (n+4 weeks) $\sum _{i=1}^{n}\left({r}_{i}\right)$

n:Time series to forecast

p:Price signals of NSE APCOTEXIND 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 APCOTEXIND Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

**Stock/Index:**NSE APCOTEXIND Apcotex Industries Limited

**Time series to forecast n: 29 Sep 2022**for (n+4 weeks)

**According to price forecasts for (n+4 weeks) period: The dominant strategy among neural network is to Buy NSE APCOTEXIND 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

Apcotex Industries Limited assigned short-term B2 & long-term B2 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (Emotional Trigger/Responses Analysis) with Linear Regression ^{1,2,3,4} and conclude that the NSE APCOTEXIND 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 Buy NSE APCOTEXIND stock.**

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

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

Outlook* | B2 | B2 |

Operational Risk | 45 | 30 |

Market Risk | 57 | 71 |

Technical Analysis | 87 | 44 |

Fundamental Analysis | 30 | 41 |

Risk Unsystematic | 49 | 56 |

### Prediction Confidence Score

## References

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- Belsley, D. A. (1988), "Modelling and forecast reliability," International Journal of Forecasting, 4, 427–447.

## Frequently Asked Questions

Q: What is the prediction methodology for NSE APCOTEXIND stock?A: NSE APCOTEXIND stock prediction methodology: We evaluate the prediction models Modular Neural Network (Emotional Trigger/Responses Analysis) and Linear Regression

Q: Is NSE APCOTEXIND stock a buy or sell?

A: The dominant strategy among neural network is to Buy NSE APCOTEXIND Stock.

Q: Is Apcotex Industries Limited stock a good investment?

A: The consensus rating for Apcotex Industries Limited is Buy and assigned short-term B2 & long-term B2 forecasted stock rating.

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

A: The consensus rating for NSE APCOTEXIND is Buy.

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

A: The prediction period for NSE APCOTEXIND is (n+4 weeks)