Abstract
We evaluate Haemonetics prediction models with Active Learning (ML) and Stepwise Regression1,2,3,4 and conclude that the HAE 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 HAE stock.
Keywords: HAE, Haemonetics, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- What are the most successful trading algorithms?
- What is statistical models in machine learning?
- Stock Forecast Based On a Predictive Algorithm

HAE Target Price Prediction Modeling Methodology
We consider Haemonetics Stock Decision Process with Stepwise Regression where A is the set of discrete actions of HAE 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(Stepwise Regression)5,6,7= X R(Active Learning (ML)) X S(n):→ (n+8 weeks)
n:Time series to forecast
p:Price signals of HAE 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?
HAE Stock Forecast (Buy or Sell) for (n+8 weeks)
Sample Set: Neural NetworkStock/Index: HAE Haemonetics
Time series to forecast n: 03 Sep 2022 for (n+8 weeks)
According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy HAE 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
Haemonetics assigned short-term Ba3 & long-term Ba3 forecasted stock rating. We evaluate the prediction models Active Learning (ML) with Stepwise Regression1,2,3,4 and conclude that the HAE 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 HAE stock.
Financial State Forecast for HAE Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba3 | Ba3 |
Operational Risk | 48 | 65 |
Market Risk | 86 | 70 |
Technical Analysis | 60 | 69 |
Fundamental Analysis | 47 | 40 |
Risk Unsystematic | 75 | 66 |
Prediction Confidence Score
References
- Jacobs B, Donkers B, Fok D. 2014. Product Recommendations Based on Latent Purchase Motivations. Rotterdam, Neth.: ERIM
- Breiman L. 1996. Bagging predictors. Mach. Learn. 24:123–40
- White H. 1992. Artificial Neural Networks: Approximation and Learning Theory. Oxford, UK: Blackwell
- Imbens GW, Rubin DB. 2015. Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge, UK: Cambridge Univ. Press
- Barrett, C. B. (1997), "Heteroscedastic price forecasting for food security management in developing countries," Oxford Development Studies, 25, 225–236.
- Hastie T, Tibshirani R, Friedman J. 2009. The Elements of Statistical Learning. Berlin: Springer
- M. L. Littman. Markov games as a framework for multi-agent reinforcement learning. In Ma- chine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994, pages 157–163, 1994
Frequently Asked Questions
Q: What is the prediction methodology for HAE stock?A: HAE stock prediction methodology: We evaluate the prediction models Active Learning (ML) and Stepwise Regression
Q: Is HAE stock a buy or sell?
A: The dominant strategy among neural network is to Buy HAE Stock.
Q: Is Haemonetics stock a good investment?
A: The consensus rating for Haemonetics is Buy and assigned short-term Ba3 & long-term Ba3 forecasted stock rating.
Q: What is the consensus rating of HAE stock?
A: The consensus rating for HAE is Buy.
Q: What is the prediction period for HAE stock?
A: The prediction period for HAE is (n+8 weeks)