Prediction of the Stock Market is a challenging task in predicting the stock prices in the future. Due to the fluctuating nature of the stock, the stock market is too difficult to predict. Stock prices are constantly changing every day. Estimating of the stock market has a high demand for stock customers. Applying all extracted rules at any time is a major challenge to estimate the future stock price with high accuracy. The latest prediction techniques adopted for the stock market such as Artificial Neural Network, Neuro-Fuzzy System, Time Series Linear Models (TSLM), Recurrent Neural Network (RNN).** We evaluate Eris Lifesciences Limited prediction models with Modular Neural Network (Emotional Trigger/Responses Analysis) and Polynomial Regression ^{1,2,3,4} and conclude that the NSE ERIS 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 Hold NSE ERIS stock.**

**NSE ERIS, Eris Lifesciences Limited, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Fundemental Analysis with Algorithmic Trading
- How do predictive algorithms actually work?
- Market Outlook

## NSE ERIS Target Price Prediction Modeling Methodology

The nature of stock market movement has always been ambiguous for investors because of various influential factors. This study aims to significantly reduce the risk of trend prediction with machine learning and deep learning algorithms. We consider Eris Lifesciences Limited Stock Decision Process with Polynomial Regression where A is the set of discrete actions of NSE ERIS 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 (Emotional Trigger/Responses Analysis)) X S(n):→ (n+1 year) $\sum _{i=1}^{n}\left({r}_{i}\right)$

n:Time series to forecast

p:Price signals of NSE ERIS 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 ERIS Stock Forecast (Buy or Sell) for (n+1 year)

**Sample Set:**Neural Network

**Stock/Index:**NSE ERIS Eris Lifesciences Limited

**Time series to forecast n: 30 Sep 2022**for (n+1 year)

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Hold NSE ERIS 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

Eris Lifesciences Limited assigned short-term Ba2 & long-term B3 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (Emotional Trigger/Responses Analysis) with Polynomial Regression ^{1,2,3,4} and conclude that the NSE ERIS 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 Hold NSE ERIS stock.**

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

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

Outlook* | Ba2 | B3 |

Operational Risk | 49 | 30 |

Market Risk | 58 | 50 |

Technical Analysis | 60 | 55 |

Fundamental Analysis | 89 | 64 |

Risk Unsystematic | 87 | 40 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

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

Q: Is NSE ERIS stock a buy or sell?

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

Q: Is Eris Lifesciences Limited stock a good investment?

A: The consensus rating for Eris Lifesciences Limited is Hold and assigned short-term Ba2 & long-term B3 forecasted stock rating.

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

A: The consensus rating for NSE ERIS is Hold.

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

A: The prediction period for NSE ERIS is (n+1 year)