Modelling A.I. in Economics

Can stock prices be predicted? (NSE MANINDS Stock Forecast) (Forecast)

In this paper, we propose a hybrid machine learning system based on Genetic Algor ithm (GA) and Support Vector Machines (SVM) for stock market prediction. A variety of indicators from the technical analysis field of study are used as input features. We also make use of the correlation between stock prices of different companies to forecast the price of a stock, making use of technical indicators of highly correlated stocks, not only the stock to be predicted. The genetic algorithm is used to select the set of most informative input features from among all the technical indicators. We evaluate Man Industries (India) Limited prediction models with Active Learning (ML) and Polynomial Regression1,2,3,4 and conclude that the NSE MANINDS 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 Sell NSE MANINDS stock.


Keywords: NSE MANINDS, Man Industries (India) Limited, stock forecast, machine learning based prediction, risk rating, buy-sell behaviour, stock analysis, target price analysis, options and futures.

Key Points

  1. How do you know when a stock will go up or down?
  2. Stock Forecast Based On a Predictive Algorithm
  3. Investment Risk

NSE MANINDS Target Price Prediction Modeling Methodology

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 consider Man Industries (India) Limited Stock Decision Process with Polynomial Regression where A is the set of discrete actions of NSE MANINDS 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= 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(Active Learning (ML)) X S(n):→ (n+8 weeks) S = s 1 s 2 s 3

n:Time series to forecast

p:Price signals of NSE MANINDS 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 MANINDS Stock Forecast (Buy or Sell) for (n+8 weeks)

Sample Set: Neural Network
Stock/Index: NSE MANINDS Man Industries (India) Limited
Time series to forecast n: 02 Oct 2022 for (n+8 weeks)

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

Man Industries (India) Limited assigned short-term B3 & long-term B1 forecasted stock rating. We evaluate the prediction models Active Learning (ML) with Polynomial Regression1,2,3,4 and conclude that the NSE MANINDS 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 Sell NSE MANINDS stock.

Financial State Forecast for NSE MANINDS Stock Options & Futures

Rating Short-Term Long-Term Senior
Outlook*B3B1
Operational Risk 4138
Market Risk3930
Technical Analysis6763
Fundamental Analysis6290
Risk Unsystematic4268

Prediction Confidence Score

Trust metric by Neural Network: 87 out of 100 with 620 signals.

References

  1. Friedman JH. 2002. Stochastic gradient boosting. Comput. Stat. Data Anal. 38:367–78
  2. Blei DM, Lafferty JD. 2009. Topic models. In Text Mining: Classification, Clustering, and Applications, ed. A Srivastava, M Sahami, pp. 101–24. Boca Raton, FL: CRC Press
  3. Bessler, D. A. R. A. Babula, (1987), "Forecasting wheat exports: Do exchange rates matter?" Journal of Business and Economic Statistics, 5, 397–406.
  4. Hastie T, Tibshirani R, Tibshirani RJ. 2017. Extended comparisons of best subset selection, forward stepwise selection, and the lasso. arXiv:1707.08692 [stat.ME]
  5. Vilnis L, McCallum A. 2015. Word representations via Gaussian embedding. arXiv:1412.6623 [cs.CL]
  6. V. Borkar. A sensitivity formula for the risk-sensitive cost and the actor-critic algorithm. Systems & Control Letters, 44:339–346, 2001
  7. Jacobs B, Donkers B, Fok D. 2014. Product Recommendations Based on Latent Purchase Motivations. Rotterdam, Neth.: ERIM
Frequently Asked QuestionsQ: What is the prediction methodology for NSE MANINDS stock?
A: NSE MANINDS stock prediction methodology: We evaluate the prediction models Active Learning (ML) and Polynomial Regression
Q: Is NSE MANINDS stock a buy or sell?
A: The dominant strategy among neural network is to Sell NSE MANINDS Stock.
Q: Is Man Industries (India) Limited stock a good investment?
A: The consensus rating for Man Industries (India) Limited is Sell and assigned short-term B3 & long-term B1 forecasted stock rating.
Q: What is the consensus rating of NSE MANINDS stock?
A: The consensus rating for NSE MANINDS is Sell.
Q: What is the prediction period for NSE MANINDS stock?
A: The prediction period for NSE MANINDS is (n+8 weeks)

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