Should You Buy Now or Wait? WDAY Stock Forecast


Abstract

We evaluate Workday prediction models with Volume + Moving Average and ElasticNet Regression1,2,3,4 and conclude that the WDAY stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy WDAY stock.


Keywords: WDAY, Workday, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.

Key Points

  1. Is now good time to invest?
  2. Dominated Move
  3. Is it better to buy and sell or hold?

WDAY Target Price Prediction Modeling Methodology

We consider Workday Stock Decision Process with ElasticNet Regression where A is the set of discrete actions of WDAY 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(ElasticNet Regression)5,6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Volume + Moving Average) X S(n):→ (n+8 weeks) r s rs

n:Time series to forecast

p:Price signals of WDAY 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?

WDAY Stock Forecast (Buy or Sell) for (n+8 weeks)

Sample Set: Neural Network
Stock/Index: WDAY Workday
Time series to forecast n: 01 Sep 2022 for (n+8 weeks)

According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy WDAY 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

Workday assigned short-term Ba3 & long-term Baa2 forecasted stock rating. We evaluate the prediction models Volume + Moving Average with ElasticNet Regression1,2,3,4 and conclude that the WDAY stock is predictable in the short/long term. According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy WDAY stock.

Financial State Forecast for WDAY Stock Options & Futures

Rating Short-Term Long-Term Senior
Outlook*Ba3Baa2
Operational Risk 7090
Market Risk6761
Technical Analysis5182
Fundamental Analysis7160
Risk Unsystematic6771

Prediction Confidence Score

Trust metric by Neural Network: 87 out of 100 with 534 signals.

References

  1. Bottou L. 1998. Online learning and stochastic approximations. In On-Line Learning in Neural Networks, ed. D Saad, pp. 9–42. New York: ACM
  2. Barkan O. 2016. Bayesian neural word embedding. arXiv:1603.06571 [math.ST]
  3. Breiman L, Friedman J, Stone CJ, Olshen RA. 1984. Classification and Regression Trees. Boca Raton, FL: CRC Press
  4. Bell RM, Koren Y. 2007. Lessons from the Netflix prize challenge. ACM SIGKDD Explor. Newsl. 9:75–79
  5. Tibshirani R. 1996. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. B 58:267–88
  6. Wooldridge JM. 2010. Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press
  7. Friedman JH. 2002. Stochastic gradient boosting. Comput. Stat. Data Anal. 38:367–78
Frequently Asked QuestionsQ: What is the prediction methodology for WDAY stock?
A: WDAY stock prediction methodology: We evaluate the prediction models Volume + Moving Average and ElasticNet Regression
Q: Is WDAY stock a buy or sell?
A: The dominant strategy among neural network is to Buy WDAY Stock.
Q: Is Workday stock a good investment?
A: The consensus rating for Workday is Buy and assigned short-term Ba3 & long-term Baa2 forecasted stock rating.
Q: What is the consensus rating of WDAY stock?
A: The consensus rating for WDAY is Buy.
Q: What is the prediction period for WDAY stock?
A: The prediction period for WDAY is (n+8 weeks)

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