This paper tries to address the problem of stock market prediction leveraging artificial intelligence (AI) strategies. The stock market prediction can be modeled based on two principal analyses called technical and fundamental. In the technical analysis approach, the regression machine learning (ML) algorithms are employed to predict the stock price trend at the end of a business day based on the historical price data. In contrast, in the fundamental analysis, the classification ML algorithms are applied to classify the public sentiment based on news and social media.** We evaluate VN 30 Index prediction models with Transfer Learning (ML) and Sign Test ^{1,2,3,4} and conclude that the VN 30 Index stock is predictable in the short/long term. **

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Buy VN 30 Index stock.**

**VN 30 Index, VN 30 Index, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- What is a prediction confidence?
- Nash Equilibria
- What are main components of Markov decision process?

## VN 30 Index Target Price Prediction Modeling Methodology

Stock market investment strategies are complex and rely on an evaluation of vast amounts of data. In recent years, machine learning techniques have increasingly been examined to assess whether they can improve market forecasting when compared with traditional approaches. The objective for this study is to identify directions for future machine learning stock market prediction research based upon a review of current literature. We consider VN 30 Index Stock Decision Process with Sign Test where A is the set of discrete actions of VN 30 Index 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(Sign 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(Transfer Learning (ML)) X S(n):→ (n+1 year) $\overrightarrow{S}=\left({s}_{1},{s}_{2},{s}_{3}\right)$

n:Time series to forecast

p:Price signals of VN 30 Index 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?

## VN 30 Index Stock Forecast (Buy or Sell) for (n+1 year)

**Sample Set:**Neural Network

**Stock/Index:**VN 30 Index VN 30 Index

**Time series to forecast n: 16 Sep 2022**for (n+1 year)

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Buy VN 30 Index 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

VN 30 Index assigned short-term B1 & long-term B1 forecasted stock rating.** We evaluate the prediction models Transfer Learning (ML) with Sign Test ^{1,2,3,4} and conclude that the VN 30 Index stock is predictable in the short/long term.**

**According to price forecasts for (n+1 year) period: The dominant strategy among neural network is to Buy VN 30 Index stock.**

### Financial State Forecast for VN 30 Index Stock Options & Futures

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

Outlook* | B1 | B1 |

Operational Risk | 35 | 48 |

Market Risk | 61 | 57 |

Technical Analysis | 75 | 82 |

Fundamental Analysis | 86 | 51 |

Risk Unsystematic | 47 | 49 |

### Prediction Confidence Score

## References

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- S. Bhatnagar, R. Sutton, M. Ghavamzadeh, and M. Lee. Natural actor-critic algorithms. Automatica, 45(11): 2471–2482, 2009

## Frequently Asked Questions

Q: What is the prediction methodology for VN 30 Index stock?A: VN 30 Index stock prediction methodology: We evaluate the prediction models Transfer Learning (ML) and Sign Test

Q: Is VN 30 Index stock a buy or sell?

A: The dominant strategy among neural network is to Buy VN 30 Index Stock.

Q: Is VN 30 Index stock a good investment?

A: The consensus rating for VN 30 Index is Buy and assigned short-term B1 & long-term B1 forecasted stock rating.

Q: What is the consensus rating of VN 30 Index stock?

A: The consensus rating for VN 30 Index is Buy.

Q: What is the prediction period for VN 30 Index stock?

A: The prediction period for VN 30 Index is (n+1 year)