Abstract
We evaluate IPG Photonics prediction models with Transductive Learning (ML) and Chi-Square1,2,3,4 and conclude that the IPGP stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold IPGP stock.
Keywords: IPGP, IPG Photonics, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.
Key Points
- What are main components of Markov decision process?
- What is a prediction confidence?
- Probability Distribution

IPGP Target Price Prediction Modeling Methodology
We consider IPG Photonics Stock Decision Process with Chi-Square where A is the set of discrete actions of IPGP 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(Chi-Square)5,6,7= X R(Transductive Learning (ML)) X S(n):→ (n+16 weeks)
n:Time series to forecast
p:Price signals of IPGP 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?
IPGP Stock Forecast (Buy or Sell) for (n+16 weeks)
Sample Set: Neural NetworkStock/Index: IPGP IPG Photonics
Time series to forecast n: 05 Sep 2022 for (n+16 weeks)
According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold IPGP 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
IPG Photonics assigned short-term Ba1 & long-term B1 forecasted stock rating. We evaluate the prediction models Transductive Learning (ML) with Chi-Square1,2,3,4 and conclude that the IPGP stock is predictable in the short/long term. According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold IPGP stock.
Financial State Forecast for IPGP Stock Options & Futures
Rating | Short-Term | Long-Term Senior |
---|---|---|
Outlook* | Ba1 | B1 |
Operational Risk | 77 | 48 |
Market Risk | 88 | 82 |
Technical Analysis | 71 | 45 |
Fundamental Analysis | 33 | 58 |
Risk Unsystematic | 89 | 61 |
Prediction Confidence Score
References
- Zubizarreta JR. 2015. Stable weights that balance covariates for estimation with incomplete outcome data. J. Am. Stat. Assoc. 110:910–22
- J. Baxter and P. Bartlett. Infinite-horizon policy-gradient estimation. Journal of Artificial Intelligence Re- search, 15:319–350, 2001.
- Knox SW. 2018. Machine Learning: A Concise Introduction. Hoboken, NJ: Wiley
- Y. Le Tallec. Robust, risk-sensitive, and data-driven control of Markov decision processes. PhD thesis, Massachusetts Institute of Technology, 2007.
- Y. Chow and M. Ghavamzadeh. Algorithms for CVaR optimization in MDPs. In Advances in Neural Infor- mation Processing Systems, pages 3509–3517, 2014.
- E. Altman. Constrained Markov decision processes, volume 7. CRC Press, 1999
- Breusch, T. S. (1978), "Testing for autocorrelation in dynamic linear models," Australian Economic Papers, 17, 334–355.
Frequently Asked Questions
Q: What is the prediction methodology for IPGP stock?A: IPGP stock prediction methodology: We evaluate the prediction models Transductive Learning (ML) and Chi-Square
Q: Is IPGP stock a buy or sell?
A: The dominant strategy among neural network is to Hold IPGP Stock.
Q: Is IPG Photonics stock a good investment?
A: The consensus rating for IPG Photonics is Hold and assigned short-term Ba1 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of IPGP stock?
A: The consensus rating for IPGP is Hold.
Q: What is the prediction period for IPGP stock?
A: The prediction period for IPGP is (n+16 weeks)