## Abstract

**We evaluate Chemours prediction models with Ensemble Learning (ML) and Stepwise Regression ^{1,2,3,4} and conclude that the CC 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 Hold CC stock.**

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

*Keywords:*## Key Points

- Prediction Modeling
- What is prediction model?
- What are the most successful trading algorithms?

## CC Target Price Prediction Modeling Methodology

We consider Chemours Stock Decision Process with Stepwise Regression where A is the set of discrete actions of CC 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}= $\begin{array}{cccc}{p}_{\mathrm{a}1}& {p}_{\mathrm{a}2}& \dots & {p}_{1n}\\ & \vdots \\ {p}_{j1}& {p}_{j2}& \dots & {p}_{jn}\\ & \vdots \\ {p}_{k1}& {p}_{k2}& \dots & {p}_{kn}\\ & \vdots \\ {p}_{n1}& {p}_{n2}& \dots & {p}_{nn}\end{array}$ X R(Ensemble Learning (ML)) X S(n):→ (n+8 weeks) $\begin{array}{l}\int {e}^{x}\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of CC 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?

## CC Stock Forecast (Buy or Sell) for (n+8 weeks)

**Sample Set:**Neural Network

**Stock/Index:**CC Chemours

**Time series to forecast n: 06 Sep 2022**for (n+8 weeks)

**According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Hold CC 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

Chemours assigned short-term B2 & long-term Ba3 forecasted stock rating.** We evaluate the prediction models Ensemble Learning (ML) with Stepwise Regression ^{1,2,3,4} and conclude that the CC 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 Hold CC stock.**

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

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

Outlook* | B2 | Ba3 |

Operational Risk | 59 | 59 |

Market Risk | 50 | 73 |

Technical Analysis | 45 | 41 |

Fundamental Analysis | 50 | 77 |

Risk Unsystematic | 81 | 69 |

### Prediction Confidence Score

## References

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- Clements, M. P. D. F. Hendry (1997), "An empirical study of seasonal unit roots in forecasting," International Journal of Forecasting, 13, 341–355.
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## Frequently Asked Questions

Q: What is the prediction methodology for CC stock?A: CC stock prediction methodology: We evaluate the prediction models Ensemble Learning (ML) and Stepwise Regression

Q: Is CC stock a buy or sell?

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

Q: Is Chemours stock a good investment?

A: The consensus rating for Chemours is Hold and assigned short-term B2 & long-term Ba3 forecasted stock rating.

Q: What is the consensus rating of CC stock?

A: The consensus rating for CC is Hold.

Q: What is the prediction period for CC stock?

A: The prediction period for CC is (n+8 weeks)