Stock prediction with data mining techniques is one of the most important issues in finance being investigated by researchers across the globe. Data mining techniques can be used extensively in the financial markets to help investors make qualitative decision. One of the techniques is artificial neural network (ANN). However, in the application of ANN for predicting the financial market the use of technical analysis variables for stock prediction is predominant. In this paper, we present a hybridized approach which combines the use of the variables of technical and fundamental analysis of stock market indicators for prediction of future price of stock in order to improve on the existing approaches. ** We evaluate SANCUS LENDING GROUP LIMITED prediction models with Transfer Learning (ML) and Polynomial Regression ^{1,2,3,4} and conclude that the LON:LEND stock is predictable in the short/long term. **

**According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Sell LON:LEND stock.**

**LON:LEND, SANCUS LENDING GROUP LIMITED, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.**

*Keywords:*## Key Points

- Is now good time to invest?
- How do predictive algorithms actually work?
- How do you decide buy or sell a stock?

## LON:LEND Target Price Prediction Modeling Methodology

Understanding the pattern of financial activities and predicting their development and changes are research hotspots in academic and financial circles. Because financial data contain complex, incomplete and fuzzy information, predicting their development trends is an extremely difficult challenge. Fluctuations in financial data depend on a myriad of correlated constantly changing factors. Therefore, predicting and analysing financial data are a nonlinear, time-dependent problem. Deep neural networks (DNNs) combine the advantages of deep learning (DL) and neural networks and can be used to solve nonlinear problems more satisfactorily compared to conventional machine learning algorithms. We consider SANCUS LENDING GROUP LIMITED Stock Decision Process with Polynomial Regression where A is the set of discrete actions of LON:LEND 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(Polynomial 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(Transfer Learning (ML)) X S(n):→ (n+16 weeks) $\sum _{i=1}^{n}\left({r}_{i}\right)$

n:Time series to forecast

p:Price signals of LON:LEND stock

j:Nash equilibria

k:Dominated move

a:Best response for target price

How do AC Investment Research machine learning (predictive) algorithms actually work?

## LON:LEND Stock Forecast (Buy or Sell) for (n+16 weeks)

**Sample Set:**Neural Network

**Stock/Index:**LON:LEND SANCUS LENDING GROUP LIMITED

**Time series to forecast n: 18 Oct 2022**for (n+16 weeks)

**According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Sell LON:LEND 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

SANCUS LENDING GROUP LIMITED assigned short-term Ba1 & long-term B2 forecasted stock rating.** We evaluate the prediction models Transfer Learning (ML) with Polynomial Regression ^{1,2,3,4} and conclude that the LON:LEND stock is predictable in the short/long term.**

**According to price forecasts for (n+16 weeks) period: The dominant strategy among neural network is to Sell LON:LEND stock.**

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

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

Outlook* | Ba1 | B2 |

Operational Risk | 84 | 88 |

Market Risk | 33 | 32 |

Technical Analysis | 81 | 51 |

Fundamental Analysis | 84 | 31 |

Risk Unsystematic | 74 | 45 |

### Prediction Confidence Score

## References

- M. Babes, E. M. de Cote, and M. L. Littman. Social reward shaping in the prisoner's dilemma. In 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12-16, 2008, Volume 3, pages 1389–1392, 2008.
- Tibshirani R, Hastie T. 1987. Local likelihood estimation. J. Am. Stat. Assoc. 82:559–67
- Banerjee, A., J. J. Dolado, J. W. Galbraith, D. F. Hendry (1993), Co-integration, Error-correction, and the Econometric Analysis of Non-stationary Data. Oxford: Oxford University Press.
- Clements, M. P. D. F. Hendry (1995), "Forecasting in cointegrated systems," Journal of Applied Econometrics, 10, 127–146.
- Krizhevsky A, Sutskever I, Hinton GE. 2012. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems, Vol. 25, ed. Z Ghahramani, M Welling, C Cortes, ND Lawrence, KQ Weinberger, pp. 1097–105. San Diego, CA: Neural Inf. Process. Syst. Found.
- K. Tuyls and G. Weiss. Multiagent learning: Basics, challenges, and prospects. AI Magazine, 33(3): 41–52, 2012
- Jacobs B, Donkers B, Fok D. 2014. Product Recommendations Based on Latent Purchase Motivations. Rotterdam, Neth.: ERIM

## Frequently Asked Questions

Q: What is the prediction methodology for LON:LEND stock?A: LON:LEND stock prediction methodology: We evaluate the prediction models Transfer Learning (ML) and Polynomial Regression

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

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

Q: Is SANCUS LENDING GROUP LIMITED stock a good investment?

A: The consensus rating for SANCUS LENDING GROUP LIMITED is Sell and assigned short-term Ba1 & long-term B2 forecasted stock rating.

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

A: The consensus rating for LON:LEND is Sell.

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

A: The prediction period for LON:LEND is (n+16 weeks)