Modelling A.I. in Economics

Is NSE FEL Stock Expected to Go Up? (Stock Forecast)

In this paper, we introduce a new prediction model depend on Bidirectional Gated Recurrent Unit (BGRU). Our predictive model relies on both online financial news and historical stock prices data to predict the stock movements in the future. We evaluate Future Enterprises Limited prediction models with Ensemble Learning (ML) and Independent T-Test1,2,3,4 and conclude that the NSE FEL 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 Buy NSE FEL stock.


Keywords: NSE FEL, Future Enterprises Limited, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.

Key Points

  1. Can we predict stock market using machine learning?
  2. Why do we need predictive models?
  3. Which neural network is best for prediction?

NSE FEL Target Price Prediction Modeling Methodology

Accurate prediction of stock price movements is highly challenging and significant topic for investors. Investors need to understand that stock price data is the most essential information which is highly volatile, non-linear, and non-parametric and are affected by many uncertainties and interrelated economic and political factors across the globe. Artificial Neural Networks (ANN) have been found to be an efficient tool in modeling stock prices and quite a large number of studies have been done on it. We consider Future Enterprises Limited Stock Decision Process with Independent T-Test where A is the set of discrete actions of NSE FEL 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(Independent T-Test)5,6,7= p a 1 p a 2 p 1 n p j 1 p j 2 p j n p k 1 p k 2 p k n p n 1 p n 2 p n n X R(Ensemble Learning (ML)) X S(n):→ (n+8 weeks) i = 1 n r i

n:Time series to forecast

p:Price signals of NSE FEL 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?

NSE FEL Stock Forecast (Buy or Sell) for (n+8 weeks)

Sample Set: Neural Network
Stock/Index: NSE FEL Future Enterprises Limited
Time series to forecast n: 29 Sep 2022 for (n+8 weeks)

According to price forecasts for (n+8 weeks) period: The dominant strategy among neural network is to Buy NSE FEL 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

Future Enterprises Limited assigned short-term B2 & long-term Baa2 forecasted stock rating. We evaluate the prediction models Ensemble Learning (ML) with Independent T-Test1,2,3,4 and conclude that the NSE FEL 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 Buy NSE FEL stock.

Financial State Forecast for NSE FEL Stock Options & Futures

Rating Short-Term Long-Term Senior
Outlook*B2Baa2
Operational Risk 5568
Market Risk6783
Technical Analysis4071
Fundamental Analysis6687
Risk Unsystematic4065

Prediction Confidence Score

Trust metric by Neural Network: 77 out of 100 with 584 signals.

References

  1. K. Boda and J. Filar. Time consistent dynamic risk measures. Mathematical Methods of Operations Research, 63(1):169–186, 2006
  2. Chernozhukov V, Chetverikov D, Demirer M, Duflo E, Hansen C, et al. 2018a. Double/debiased machine learning for treatment and structural parameters. Econom. J. 21:C1–68
  3. Lai TL, Robbins H. 1985. Asymptotically efficient adaptive allocation rules. Adv. Appl. Math. 6:4–22
  4. Hornik K, Stinchcombe M, White H. 1989. Multilayer feedforward networks are universal approximators. Neural Netw. 2:359–66
  5. Abadie A, Cattaneo MD. 2018. Econometric methods for program evaluation. Annu. Rev. Econ. 10:465–503
  6. Bai J, Ng S. 2002. Determining the number of factors in approximate factor models. Econometrica 70:191–221
  7. Bennett J, Lanning S. 2007. The Netflix prize. In Proceedings of KDD Cup and Workshop 2007, p. 35. New York: ACM
Frequently Asked QuestionsQ: What is the prediction methodology for NSE FEL stock?
A: NSE FEL stock prediction methodology: We evaluate the prediction models Ensemble Learning (ML) and Independent T-Test
Q: Is NSE FEL stock a buy or sell?
A: The dominant strategy among neural network is to Buy NSE FEL Stock.
Q: Is Future Enterprises Limited stock a good investment?
A: The consensus rating for Future Enterprises Limited is Buy and assigned short-term B2 & long-term Baa2 forecasted stock rating.
Q: What is the consensus rating of NSE FEL stock?
A: The consensus rating for NSE FEL is Buy.
Q: What is the prediction period for NSE FEL stock?
A: The prediction period for NSE FEL is (n+8 weeks)



Stop Guessing, Start Winning.
Get Today's AI-Driven Picks.

Click here to see what the AI recommends.




Premium

  • Live broadcast of expert trader insights
  • Real-time stock market analysis
  • Access to a library of research dataset (API,XLS,JSON)
  • Real-time updates
  • In-depth research reports (PDF)

Login
This project is licensed under the license; additional terms may apply.