## Abstract

**We evaluate HF Sinclair prediction models with Psychological Line (PSY) and Spearman Correlation ^{1,2,3,4} and conclude that the DINO stock is predictable in the short/long term. **

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold DINO stock.**

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

*Keywords:*## Key Points

- How useful are statistical predictions?
- Is Target price a good indicator?
- How do you know when a stock will go up or down?

## DINO Target Price Prediction Modeling Methodology

We consider HF Sinclair Stock Decision Process with Spearman Correlation where A is the set of discrete actions of DINO 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(Spearman Correlation)

^{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(Psychological Line (PSY)) X S(n):→ (n+3 month) $\sum _{i=1}^{n}\left({s}_{i}\right)$

n:Time series to forecast

p:Price signals of DINO 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?

## DINO Stock Forecast (Buy or Sell) for (n+3 month)

**Sample Set:**Neural Network

**Stock/Index:**DINO HF Sinclair

**Time series to forecast n: 01 Sep 2022**for (n+3 month)

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold DINO 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

HF Sinclair assigned short-term B3 & long-term B2 forecasted stock rating.** We evaluate the prediction models Psychological Line (PSY) with Spearman Correlation ^{1,2,3,4} and conclude that the DINO stock is predictable in the short/long term.**

**According to price forecasts for (n+3 month) period: The dominant strategy among neural network is to Hold DINO stock.**

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

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

Outlook* | B3 | B2 |

Operational Risk | 52 | 58 |

Market Risk | 55 | 46 |

Technical Analysis | 61 | 54 |

Fundamental Analysis | 37 | 46 |

Risk Unsystematic | 31 | 46 |

### Prediction Confidence Score

## References

- uyer, S. Whiteson, B. Bakker, and N. A. Vlassis. Multiagent reinforcement learning for urban traffic control using coordination graphs. In Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I, pages 656–671, 2008.
- R. Sutton, D. McAllester, S. Singh, and Y. Mansour. Policy gradient methods for reinforcement learning with function approximation. In Proceedings of Advances in Neural Information Processing Systems 12, pages 1057–1063, 2000
- L. Prashanth and M. Ghavamzadeh. Actor-critic algorithms for risk-sensitive MDPs. In Proceedings of Advances in Neural Information Processing Systems 26, pages 252–260, 2013.
- Imbens GW, Rubin DB. 2015. Causal Inference in Statistics, Social, and Biomedical Sciences. Cambridge, UK: Cambridge Univ. Press
- Zou H, Hastie T. 2005. Regularization and variable selection via the elastic net. J. R. Stat. Soc. B 67:301–20
- Bell RM, Koren Y. 2007. Lessons from the Netflix prize challenge. ACM SIGKDD Explor. Newsl. 9:75–79
- Chow, G. C. (1960), "Tests of equality between sets of coefficients in two linear regressions," Econometrica, 28, 591–605.

## Frequently Asked Questions

Q: What is the prediction methodology for DINO stock?A: DINO stock prediction methodology: We evaluate the prediction models Psychological Line (PSY) and Spearman Correlation

Q: Is DINO stock a buy or sell?

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

Q: Is HF Sinclair stock a good investment?

A: The consensus rating for HF Sinclair is Hold and assigned short-term B3 & long-term B2 forecasted stock rating.

Q: What is the consensus rating of DINO stock?

A: The consensus rating for DINO is Hold.

Q: What is the prediction period for DINO stock?

A: The prediction period for DINO is (n+3 month)