## Abstract

**We evaluate Watts Water Technologies prediction models with Adaptive Moving Average and Logistic Regression ^{1,2,3,4} and conclude that the WTS 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 Sell WTS stock.**

**WTS, Watts Water Technologies, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- What statistical methods are used to analyze data?
- Can statistics predict the future?
- Stock Forecast Based On a Predictive Algorithm

## WTS Target Price Prediction Modeling Methodology

We consider Watts Water Technologies Stock Decision Process with Logistic Regression where A is the set of discrete actions of WTS 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(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(Adaptive Moving Average) X S(n):→ (n+4 weeks) $\overrightarrow{R}=\left({r}_{1},{r}_{2},{r}_{3}\right)$

n:Time series to forecast

p:Price signals of WTS 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?

## WTS Stock Forecast (Buy or Sell) for (n+4 weeks)

**Sample Set:**Neural Network

**Stock/Index:**WTS Watts Water Technologies

**Time series to forecast n: 01 Sep 2022**for (n+4 weeks)

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

Watts Water Technologies assigned short-term B1 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Adaptive Moving Average with Logistic Regression ^{1,2,3,4} and conclude that the WTS 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 Sell WTS stock.**

### Financial State Forecast for WTS Stock Options & Futures

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

Outlook* | B1 | Ba3 |

Operational Risk | 72 | 84 |

Market Risk | 35 | 35 |

Technical Analysis | 61 | 86 |

Fundamental Analysis | 74 | 52 |

Risk Unsystematic | 48 | 55 |

### Prediction Confidence Score

## References

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- M. Puterman. Markov Decision Processes: Discrete Stochastic Dynamic Programming. Wiley, New York, 1994.

## Frequently Asked Questions

Q: What is the prediction methodology for WTS stock?A: WTS stock prediction methodology: We evaluate the prediction models Adaptive Moving Average and Logistic Regression

Q: Is WTS stock a buy or sell?

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

Q: Is Watts Water Technologies stock a good investment?

A: The consensus rating for Watts Water Technologies is Sell and assigned short-term B1 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of WTS stock?

A: The consensus rating for WTS is Sell.

Q: What is the prediction period for WTS stock?

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