## Abstract

**We evaluate Huntington prediction models with Running Moving Average (RMA) and Independent T-Test ^{1,2,3,4} and conclude that the HBAN stock is predictable in the short/long term. **

**According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold HBAN stock.**

**HBAN, Huntington, 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?
- Can neural networks predict stock market?
- Stock Rating

## HBAN Target Price Prediction Modeling Methodology

We consider Huntington Stock Decision Process with Independent T-Test where A is the set of discrete actions of HBAN 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 Î³ ∈ [0, 1] is a move factor for expectation.^{1,2,3,4}

F(Independent T-Test)

^{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(Running Moving Average (RMA)) X S(n):→ (n+6 month) $\overrightarrow{R}=\left({r}_{1},{r}_{2},{r}_{3}\right)$

n:Time series to forecast

p:Price signals of HBAN 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?

## HBAN Stock Forecast (Buy or Sell) for (n+6 month)

**Sample Set:**Neural Network

**Stock/Index:**HBAN Huntington

**Time series to forecast n: 31 Aug 2022**for (n+6 month)

**According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold HBAN 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

Huntington assigned short-term Ba3 & long-term B1 forecasted stock rating.** We evaluate the prediction models Running Moving Average (RMA) with Independent T-Test ^{1,2,3,4} and conclude that the HBAN stock is predictable in the short/long term.**

**According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold HBAN stock.**

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

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

Outlook* | Ba3 | B1 |

Operational Risk | 50 | 49 |

Market Risk | 61 | 37 |

Technical Analysis | 80 | 68 |

Fundamental Analysis | 65 | 79 |

Risk Unsystematic | 65 | 55 |

### Prediction Confidence Score

## References

- M. L. Littman. Friend-or-foe q-learning in general-sum games. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001, pages 322–328, 2001
- G. Konidaris, S. Osentoski, and P. Thomas. Value function approximation in reinforcement learning using the Fourier basis. In AAAI, 2011
- M. L. Littman. Friend-or-foe q-learning in general-sum games. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001, pages 322–328, 2001
- D. Bertsekas. Dynamic programming and optimal control. Athena Scientific, 1995.
- P. Artzner, F. Delbaen, J. Eber, and D. Heath. Coherent measures of risk. Journal of Mathematical Finance, 9(3):203–228, 1999
- Kallus N. 2017. Balanced policy evaluation and learning. arXiv:1705.07384 [stat.ML]
- Arjovsky M, Bottou L. 2017. Towards principled methods for training generative adversarial networks. arXiv:1701.04862 [stat.ML]

## Frequently Asked Questions

Q: What is the prediction methodology for HBAN stock?A: HBAN stock prediction methodology: We evaluate the prediction models Running Moving Average (RMA) and Independent T-Test

Q: Is HBAN stock a buy or sell?

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

Q: Is Huntington stock a good investment?

A: The consensus rating for Huntington is Hold and assigned short-term Ba3 & long-term B1 forecasted stock rating.

Q: What is the consensus rating of HBAN stock?

A: The consensus rating for HBAN is Hold.

Q: What is the prediction period for HBAN stock?

A: The prediction period for HBAN is (n+6 month)