## Abstract

**We evaluate TPL prediction models with E. Oscillators and ANOVA ^{1,2,3,4} and conclude that the TPL 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 TPL stock.**

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

*Keywords:*## Key Points

- How do predictive algorithms actually work?
- What are the most successful trading algorithms?
- How do you know when a stock will go up or down?

## TPL Target Price Prediction Modeling Methodology

We consider TPL Stock Decision Process with ANOVA where A is the set of discrete actions of TPL 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(ANOVA)

^{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(E. Oscillators) X S(n):→ (n+16 weeks) $\sum _{i=1}^{n}\left({a}_{i}\right)$

n:Time series to forecast

p:Price signals of TPL 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?

## TPL Stock Forecast (Buy or Sell) for (n+16 weeks)

**Sample Set:**Neural Network

**Stock/Index:**TPL TPL

**Time series to forecast n: 01 Sep 2022**for (n+16 weeks)

**According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Hold TPL 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

TPL assigned short-term Ba3 & long-term B3 forecasted stock rating.** We evaluate the prediction models E. Oscillators with ANOVA ^{1,2,3,4} and conclude that the TPL 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 TPL stock.**

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

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

Outlook* | Ba3 | B3 |

Operational Risk | 64 | 30 |

Market Risk | 79 | 30 |

Technical Analysis | 84 | 58 |

Fundamental Analysis | 33 | 76 |

Risk Unsystematic | 62 | 32 |

### Prediction Confidence Score

## References

- M. Puterman. Markov Decision Processes: Discrete Stochastic Dynamic Programming. Wiley, New York, 1994.
- Chernozhukov V, Chetverikov D, Demirer M, Duflo E, Hansen C, et al. 2016a. Double machine learning for treatment and causal parameters. Tech. Rep., Cent. Microdata Methods Pract., Inst. Fiscal Stud., London
- S. Bhatnagar and K. Lakshmanan. An online actor-critic algorithm with function approximation for con- strained Markov decision processes. Journal of Optimization Theory and Applications, 153(3):688–708, 2012.
- Breiman L. 2001a. Random forests. Mach. Learn. 45:5–32
- Künzel S, Sekhon J, Bickel P, Yu B. 2017. Meta-learners for estimating heterogeneous treatment effects using machine learning. arXiv:1706.03461 [math.ST]
- P. Artzner, F. Delbaen, J. Eber, and D. Heath. Coherent measures of risk. Journal of Mathematical Finance, 9(3):203–228, 1999
- J. Hu and M. P. Wellman. Nash q-learning for general-sum stochastic games. Journal of Machine Learning Research, 4:1039–1069, 2003.

## Frequently Asked Questions

Q: What is the prediction methodology for TPL stock?A: TPL stock prediction methodology: We evaluate the prediction models E. Oscillators and ANOVA

Q: Is TPL stock a buy or sell?

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

Q: Is TPL stock a good investment?

A: The consensus rating for TPL is Hold and assigned short-term Ba3 & long-term B3 forecasted stock rating.

Q: What is the consensus rating of TPL stock?

A: The consensus rating for TPL is Hold.

Q: What is the prediction period for TPL stock?

A: The prediction period for TPL is (n+16 weeks)

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