The main objective of this research is to predict the market performance on day closing using different machine learning techniques. The prediction model uses different attributes as an input and predicts market as Positive & Negative. ** We evaluate Liberty Formula 1 (Series C) prediction models with Statistical Inference (ML) and Logistic Regression ^{1,2,3,4} and conclude that the FWONK 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 Sell FWONK stock.**

**FWONK, Liberty Formula 1 (Series C), stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Trading Signals
- Is it better to buy and sell or hold?
- Can stock prices be predicted?

## FWONK Target Price Prediction Modeling Methodology

Prediction of stock market is a long-time attractive topic to researchers from different fields. In particular, numerous studies have been conducted to predict the movement of stock market using machine learning algorithms such as support vector machine (SVM) and reinforcement learning. In this project, we propose a new prediction algorithm that exploits the temporal correlation among global stock markets and various financial products to predict the next-day stock trend. We consider Liberty Formula 1 (Series C) Stock Decision Process with Logistic Regression where A is the set of discrete actions of FWONK 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(Logistic 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(Statistical Inference (ML)) X S(n):→ (n+3 month) $\sum _{i=1}^{n}\left({a}_{i}\right)$

n:Time series to forecast

p:Price signals of FWONK 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?

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

**Sample Set:**Neural Network

**Stock/Index:**FWONK Liberty Formula 1 (Series C)

**Time series to forecast n: 09 Oct 2022**for (n+3 month)

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

Liberty Formula 1 (Series C) assigned short-term Ba1 & long-term Ba2 forecasted stock rating.** We evaluate the prediction models Statistical Inference (ML) with Logistic Regression ^{1,2,3,4} and conclude that the FWONK 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 Sell FWONK stock.**

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

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

Outlook* | Ba1 | Ba2 |

Operational Risk | 71 | 89 |

Market Risk | 80 | 71 |

Technical Analysis | 64 | 56 |

Fundamental Analysis | 66 | 41 |

Risk Unsystematic | 77 | 89 |

### Prediction Confidence Score

## References

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- H. Khalil and J. Grizzle. Nonlinear systems, volume 3. Prentice hall Upper Saddle River, 2002.
- Hartford J, Lewis G, Taddy M. 2016. Counterfactual prediction with deep instrumental variables networks. arXiv:1612.09596 [stat.AP]
- Andrews, D. W. K. (1993), "Tests for parameter instability and structural change with unknown change point," Econometrica, 61, 821–856.
- Rumelhart DE, Hinton GE, Williams RJ. 1986. Learning representations by back-propagating errors. Nature 323:533–36
- Harris ZS. 1954. Distributional structure. Word 10:146–62
- Breusch, T. S. A. R. Pagan (1979), "A simple test for heteroskedasticity and random coefficient variation," Econometrica, 47, 1287–1294.

## Frequently Asked Questions

Q: What is the prediction methodology for FWONK stock?A: FWONK stock prediction methodology: We evaluate the prediction models Statistical Inference (ML) and Logistic Regression

Q: Is FWONK stock a buy or sell?

A: The dominant strategy among neural network is to Sell FWONK Stock.

Q: Is Liberty Formula 1 (Series C) stock a good investment?

A: The consensus rating for Liberty Formula 1 (Series C) is Sell and assigned short-term Ba1 & long-term Ba2 forecasted stock rating.

Q: What is the consensus rating of FWONK stock?

A: The consensus rating for FWONK is Sell.

Q: What is the prediction period for FWONK stock?

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