A predictive analytics framework for opportunity sensing in stock market
Large volume, random fluctuations and distractive patterns in raw price data lead to overfitting in stock price prediction. Thus research papers in this area suffer from multiple limitations: Very short prediction period from one day to one week, consideration of few stocks only instead of whole of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | Kuwait Journal of Science |
| Online Access: | https://journalskuwait.org/kjs/index.php/KJS/article/view/18993 |
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| _version_ | 1850138594784575488 |
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| author | Shruti Mittal C.K. Nagpal |
| author_facet | Shruti Mittal C.K. Nagpal |
| author_sort | Shruti Mittal |
| collection | DOAJ |
| description |
Large volume, random fluctuations and distractive patterns in raw price data lead to overfitting in stock price prediction. Thus research papers in this area suffer from multiple limitations: Very short prediction period from one day to one week, consideration of few stocks only instead of whole of stock market spectrum, exploration of more suitable machine learning algorithms. By overcoming the problems of raw data these limitations can be conquered. Proposed work uses a supervised machine learning approach on statistically learned macrofeatures obtained from gist of input data, free from raw data drawbacks, to predict the price band for the upcoming month and a half for almost all NIFTY50 stocks. The predicted bands are tested for precision in comparison with actual stock price bands. Motivating outcomes so obtained were used to sense opportunity for buying / selling / wait. The results showed that the proposed strategy is quite effective and can be successfully monetized.
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| format | Article |
| id | doaj-art-a99067a9f7a34ec59a0afdeff0546f69 |
| institution | OA Journals |
| issn | 2307-4108 2307-4116 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Kuwait Journal of Science |
| spelling | doaj-art-a99067a9f7a34ec59a0afdeff0546f692025-08-20T02:30:32ZengElsevierKuwait Journal of Science2307-41082307-41162022-06-0110.48129/kjs.splml.18993A predictive analytics framework for opportunity sensing in stock marketShruti Mittal0C.K. NagpalJCBUST YMCA, Faridabad Large volume, random fluctuations and distractive patterns in raw price data lead to overfitting in stock price prediction. Thus research papers in this area suffer from multiple limitations: Very short prediction period from one day to one week, consideration of few stocks only instead of whole of stock market spectrum, exploration of more suitable machine learning algorithms. By overcoming the problems of raw data these limitations can be conquered. Proposed work uses a supervised machine learning approach on statistically learned macrofeatures obtained from gist of input data, free from raw data drawbacks, to predict the price band for the upcoming month and a half for almost all NIFTY50 stocks. The predicted bands are tested for precision in comparison with actual stock price bands. Motivating outcomes so obtained were used to sense opportunity for buying / selling / wait. The results showed that the proposed strategy is quite effective and can be successfully monetized. https://journalskuwait.org/kjs/index.php/KJS/article/view/18993 |
| spellingShingle | Shruti Mittal C.K. Nagpal A predictive analytics framework for opportunity sensing in stock market Kuwait Journal of Science |
| title | A predictive analytics framework for opportunity sensing in stock market |
| title_full | A predictive analytics framework for opportunity sensing in stock market |
| title_fullStr | A predictive analytics framework for opportunity sensing in stock market |
| title_full_unstemmed | A predictive analytics framework for opportunity sensing in stock market |
| title_short | A predictive analytics framework for opportunity sensing in stock market |
| title_sort | predictive analytics framework for opportunity sensing in stock market |
| url | https://journalskuwait.org/kjs/index.php/KJS/article/view/18993 |
| work_keys_str_mv | AT shrutimittal apredictiveanalyticsframeworkforopportunitysensinginstockmarket AT cknagpal apredictiveanalyticsframeworkforopportunitysensinginstockmarket AT shrutimittal predictiveanalyticsframeworkforopportunitysensinginstockmarket AT cknagpal predictiveanalyticsframeworkforopportunitysensinginstockmarket |