With technological advancements, big data can be easily generated and collected in many applications. Embedded in these big data are useful information and knowledge that can be discovered by machine learning and data mining models, techniques or algorithms.** We evaluate HANSA INVESTMENT COMPANY LIMITED prediction models with Modular Neural Network (Market Volatility Analysis) and Wilcoxon Sign-Rank Test ^{1,2,3,4} and conclude that the LON:HAN 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 Buy LON:HAN stock.**

**LON:HAN, HANSA INVESTMENT COMPANY LIMITED, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Fundemental Analysis with Algorithmic Trading
- Trust metric by Neural Network
- Is Target price a good indicator?

## LON:HAN Target Price Prediction Modeling Methodology

Predictions on stock market prices are a great challenge due to the fact that it is an immensely complex, chaotic and dynamic environment. There are many studies from various areas aiming to take on that challenge and Machine Learning approaches have been the focus of many of them. There are many examples of Machine Learning algorithms been able to reach satisfactory results when doing that type of prediction. This article studies the usage of LSTM networks on that scenario, to predict future trends of stock prices based on the price history, alongside with technical analysis indicators. We consider HANSA INVESTMENT COMPANY LIMITED Stock Decision Process with Wilcoxon Sign-Rank Test where A is the set of discrete actions of LON:HAN 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(Wilcoxon Sign-Rank 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(Modular Neural Network (Market Volatility Analysis)) X S(n):→ (n+3 month) $\begin{array}{l}\int {e}^{x}\mathrm{rx}\end{array}$

n:Time series to forecast

p:Price signals of LON:HAN 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?

## LON:HAN Stock Forecast (Buy or Sell) for (n+3 month)

**Sample Set:**Neural Network

**Stock/Index:**LON:HAN HANSA INVESTMENT COMPANY LIMITED

**Time series to forecast n: 07 Oct 2022**for (n+3 month)

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

HANSA INVESTMENT COMPANY LIMITED assigned short-term B1 & long-term B1 forecasted stock rating.** We evaluate the prediction models Modular Neural Network (Market Volatility Analysis) with Wilcoxon Sign-Rank Test ^{1,2,3,4} and conclude that the LON:HAN 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 Buy LON:HAN stock.**

### Financial State Forecast for LON:HAN Stock Options & Futures

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

Outlook* | B1 | B1 |

Operational Risk | 74 | 60 |

Market Risk | 80 | 49 |

Technical Analysis | 37 | 50 |

Fundamental Analysis | 39 | 90 |

Risk Unsystematic | 70 | 37 |

### Prediction Confidence Score

## References

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## Frequently Asked Questions

Q: What is the prediction methodology for LON:HAN stock?A: LON:HAN stock prediction methodology: We evaluate the prediction models Modular Neural Network (Market Volatility Analysis) and Wilcoxon Sign-Rank Test

Q: Is LON:HAN stock a buy or sell?

A: The dominant strategy among neural network is to Buy LON:HAN Stock.

Q: Is HANSA INVESTMENT COMPANY LIMITED stock a good investment?

A: The consensus rating for HANSA INVESTMENT COMPANY LIMITED is Buy and assigned short-term B1 & long-term B1 forecasted stock rating.

Q: What is the consensus rating of LON:HAN stock?

A: The consensus rating for LON:HAN is Buy.

Q: What is the prediction period for LON:HAN stock?

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