NSE GOKEX Stock Price Prediction

Investors raise profit from stock market by maximising gains and minimising loses. The profit is difficult to raise because of the volatile nature of stock market prices. Predictive modelling allows investors to make informed decisions. We evaluate Gokaldas Exports Limited prediction models with Active Learning (ML) and Chi-Square^1,2,3,4 and conclude that the NSE GOKEX stock is predictable in the short/long term. According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold NSE GOKEX stock.

Keywords: NSE GOKEX, Gokaldas Exports 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. Trust metric by Neural Network
3. What is prediction in deep learning?

NSE GOKEX Target Price Prediction Modeling Methodology

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange. The successful prediction of a stock's future price will maximize investor's gains. This paper proposes a machine learning model to predict stock market price. We consider Gokaldas Exports Limited Stock Decision Process with Chi-Square where A is the set of discrete actions of NSE GOKEX 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(Chi-Square)^5,6,7= $\begin{array}{cccc}{p}_{\mathrm{a}1}& p_{\mathrm{a}2}& \dots & p_{1n}\\ & ⋮\\ p_{j1}& p_{j2}& \dots & p_{jn}\\ & ⋮\\ p_{k1}& p_{k2}& \dots & p_{kn}\\ & ⋮\\ p_{n1}& p_{n2}& \dots & p_{nn}\end{array}$ X R(Active Learning (ML)) X S(n):→ (n+6 month) $\sum _{i=1}^n\left(s_i\right)$

n:Time series to forecast

p:Price signals of NSE GOKEX 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 GOKEX Stock Forecast (Buy or Sell) for (n+6 month)

Sample Set: Neural Network
Stock/Index: NSE GOKEX Gokaldas Exports Limited
Time series to forecast n: 29 Sep 2022 for (n+6 month)

According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold NSE GOKEX 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

Gokaldas Exports Limited assigned short-term B1 & long-term Ba3 forecasted stock rating. We evaluate the prediction models Active Learning (ML) with Chi-Square^1,2,3,4 and conclude that the NSE GOKEX stock is predictable in the short/long term. According to price forecasts for (n+6 month) period: The dominant strategy among neural network is to Hold NSE GOKEX stock.

Financial State Forecast for NSE GOKEX Stock Options & Futures

Rating	Short-Term	Long-Term Senior
Outlook*	B1	Ba3
Operational Risk	68	49
Market Risk	47	66
Technical Analysis	77	67
Fundamental Analysis	34	87
Risk Unsystematic	70	36

Prediction Confidence Score

Trust metric by Neural Network: 72 out of 100 with 657 signals.

References

1. Firth JR. 1957. A synopsis of linguistic theory 1930–1955. In Studies in Linguistic Analysis (Special Volume of the Philological Society), ed. JR Firth, pp. 1–32. Oxford, UK: Blackwell
2. R. Rockafellar and S. Uryasev. Conditional value-at-risk for general loss distributions. Journal of Banking and Finance, 26(7):1443 – 1471, 2002
3. Wu X, Kumar V, Quinlan JR, Ghosh J, Yang Q, et al. 2008. Top 10 algorithms in data mining. Knowl. Inform. Syst. 14:1–37
4. Chow, G. C. (1960), "Tests of equality between sets of coefficients in two linear regressions," Econometrica, 28, 591–605.
5. M. Benaim, J. Hofbauer, and S. Sorin. Stochastic approximations and differential inclusions, Part II: Appli- cations. Mathematics of Operations Research, 31(4):673–695, 2006
6. S. J. Russell and A. Zimdars. Q-decomposition for reinforcement learning agents. In Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, pages 656–663, 2003.
7. Hornik K, Stinchcombe M, White H. 1989. Multilayer feedforward networks are universal approximators. Neural Netw. 2:359–66

Frequently Asked Questions

Q: What is the prediction methodology for NSE GOKEX stock?
A: NSE GOKEX stock prediction methodology: We evaluate the prediction models Active Learning (ML) and Chi-Square
Q: Is NSE GOKEX stock a buy or sell?
A: The dominant strategy among neural network is to Hold NSE GOKEX Stock.
Q: Is Gokaldas Exports Limited stock a good investment?
A: The consensus rating for Gokaldas Exports Limited is Hold and assigned short-term B1 & long-term Ba3 forecasted stock rating.
Q: What is the consensus rating of NSE GOKEX stock?
A: The consensus rating for NSE GOKEX is Hold.
Q: What is the prediction period for NSE GOKEX stock?
A: The prediction period for NSE GOKEX is (n+6 month)

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