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Papers tagged with "Stock Market"

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Vol 12, Issue 9 (September 2026) Computer Science

A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends

Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...

Narendra Rai, Prof. Shailendra Kumar Shriwastava
Vol 12, Issue 7 (July 2026) Computer Science

A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends

Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...

Srishti Mongre, Dr. Dayashankar Pandey
Vol 12, Issue 4 (April 2026) MCA

Ensemble Machine Learning For NIFTY-50 Price Forecasting And Trend Classification: A Flask-Deployed Decision Support System

Stock Market Forecasting Poses A Significant Challenge Due To The Non-linear, High-volatility Nature Of Financial Time Series. This Paper Presents An End-to-end Machine Learning Pipeline For Predicting NIFTY-50 Closing Prices And Next-day D...

Mr.N.Nareshkumar, Mrs.R.Rahima Beevi
Vol 10, Issue 4 (April 2024) COMPUTER SCIENCE AND ENGINEERING

PREDICTIVE MODELLING FOR STOCK MARKET PRICE MOVEMENTS USING MACHINE LEARNING

This Project Uses Machine Learning To Predict Stock Market Prices. We Collect And Clean Historical Stock Data And Then Build Different Models To Make Predictions. We Also Consider Fairness And Ethics In Our Predictions. Our Goal Is To Help...

HARSH KUMAR GAURAV, DHARMESH KUMAR, DIVYA SAGAR , GOWRISHANKAR
Vol 9, Issue 12 (December 2023) Computer Science And Engineering

A SURVEY AND INVESTIGATION OF DIFFERENT MACHINE LEARNING TECHNIQUES FOR FORECASTING STOCK TRENDS

The Stock Prices Depend Both On Time As Well As Associated Variables And Finding Patterns In Among The Variables Aid Forecasting Future Stock Prices Which Is Often Termed As Stock Market Forecasting. Stock Market Prediction Extremely Challe...

Vipin Kasera, Dr. Manish Vyas
Vol 9, Issue 9 (September 2023) MCA

AN COMPARATIVE STUDY ON STOCK MARKET PREDICTION USING MACHINE LEARNING ALGORITHMS

Stocks Are Possibly The Most Popular Financial Indicator Assumed For Building Wealth And Are The Best Part Of Any Investment Portfolio. From Last Few Decades, There Seen Severe Increase In The Moderate Person’s Interest For Stock Market. It...

Harini L, Dr.C.Thiyagarajan
Vol 9, Issue 8 (August 2023) Computer Applications

A COMPARATIVE ANALYSIS BASED ON HUMAN-AI COLLABORATION

The Advent Of Artificial Intelligence (AI) Has Transformed The Landscape Of Human-machine Interaction, Leading To Unprecedented Opportunities For AI-human Collaboration. This Abstract Explores The Dynamic Synergy That Arises From Combining...

Nandhakumar R, V S Anita Sofia
Vol 9, Issue 7 (July 2023) CSE

FORECASTING DAILY STOCK MOVEMENT USING A HYBRID NORMALIZATION IN ANN

The Potential Financial Benefits Of Stock Market Forecasting Have Drawn A Lot Of Interest. Due To The Various Interconnected Aspects, Predicting These Markets Is A Difficult Endeavour That Necessitates A Thorough As Well As Efficient Featur...

M Abinaya , J Ancy John
Vol 9, Issue 6 (June 2023) Data Analytics

ESTIMATING THE MOVEMENT OF STOCK PRICES BASED USING ARTIFICIAL NEURAL NETWORKS

Predicting Stock Market Movements Using Neural Networks Is A Popular Application Of Machine Learning. Neural Networks Can Analyze Historical Stock Data And Attempt To Identify Patterns And Trends That Can Be Used To Predict Future Price Mov...

Swarna Gupta, Prof. Sachin Mahajan
Vol 9, Issue 1 (January 2023) Computer Science

A Business Process Model for Stock Market Prediction Based on Machine Learning Approaches

The Stock Market Prediction (SMP) Makes An Effort To Determine Stock Values And Gives Thegeneral Public Idea That They Are Aware Of The Goods & Stock Prices That Are Currently Accessible On The Market. Due To Technological Developments And...

Muhammad Harris Hashmi, Bhanu Priya Mahant, Muhammad Salik Salam, Muhammad Ahsan
Vol 8, Issue 12 (December 2022) Electronics And Telecommunications Engineering

STOCK ANALYSIS AND PREDICTION USING PYTHON

In Prediction Of Stock Prize Is Complex And Hard Task To Perform For Human Abilities, It Need Complex Calculation And Also Logical Understanding Of Stock Market Nature And Risk Factor. Stock Market Investing Strategies Are Multiple And Comp...

Prof. J. M. Waghmare, Amar S. Sable, Gauri D. Pawar
Vol 8, Issue 7 (July 2022) Computer Science

STOCK PRICE FORECASTING USING LSTM ALGORITHM

Investing In Any Financial Assets Including Stock Market Is An Extremely Hard And Complex Task. The Stock Market Is Also Heavily Influenced By The External Factors Such As Elections , Interest Rate Hikes Etc[8]. Because Of All These Factors...

Nagarjun H M, Mohan Kumar H P
Vol 8, Issue 5 (May 2022) Technical Analysis Of Share Market

FORESEES THE NEXT STEP OF EQUITY MARKET

Predicting Stock Market Movements Is A Well-known Problem With Interest. The Social Media Of Today Is Well-represented By The Public's Feelings And Opinions About Current Events. In Particular, Twitter Has Attracted A Lot Of Attention From...

Prof. Pallavi Patil, Shambhavi Rotithor, Siddhi Utekar, Tejal Deshmukh
Vol 8, Issue 3 (March 2022) Computer Science

TRADING JOURNAL

Investment Decision Making Is Considered As A Series Of Complicated Processes, Which Are Difficult To Be Analyzed And Imitated. Given Large Amounts Of Trading Records It Would Be Much Simpler To Understand Our Short Comings And To Improve A...

Nagarjun H M, Mahanada, Dr.H.P.Mohan Kumar(Professor)
Vol 7, Issue 7 (July 2021) Computer Science

MACHINE LEARNING TOOLS TO ASSIST FINANCIAL MARKETING

Technical And Quantitative Analysis In Financial Marketing Make Use Of Mathematical And Statistical Tools To Help Investors Decide On The Optimum Moment To Initiate And Close Orders. While These Traditional Approaches Have Served Their Purp...

Chandan G Raj, Dhanush N V, Yedhunandan Kishore, Surya Bhushan Ojha | Dr. Dattatreya P Mankame

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