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20 articles for “stock exchange”
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Stock Exchange Forecasting Using Sentiment Analysis and Machine Learning Approach
Abstract: Every penny traded in the market is a speculator, like millions of bucks transfer every day. System behavior dictates the trust of many organizations daily. Financial professionals no doubt endeavored for the foresee stock exchange from the beginning. Systems are beginning to use the sentiment analysis-based machine learning approach. For financial professionals, the ability to accurately predict changing trends is an attractive guarantee of wealth and influence. When things get …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 3, 2022 · pp. 18–24 Read article
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Stock Market Prediction with LSTM-based Neural Networks: An Empirical Analysis
Abstract: A stock market is a composite of markets and exchanges where the buying and selling of publicly traded company stocks occur on a regular basis. It serves as a marketplace for the stocks of corporations that are available to the public. Companies opt for an initial public offering (IPO) on the primary market as a means to generate capital. People buy stocks primarily in the hope that they may rise …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 9–14 Read article
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Stock Market Analysis Using Data Science
Abstract: Stock market prediction using data science has become a popular area of research and application in recent years. This is because the stock market is a complex system with many variables and factors that affect its behavior, making it difficult to predict with certainty. The stock market has always been the aggression of buyers and sellers of stocks, therefore in the global finance market, stock trading is one of the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 1–4 Read article
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Evaluation and Scientific Investigation: Stock Market Forecasting Techniques
Abstract: Analysts and scholars have consistently shown interest in predicting stock market trends, a complex task given the multitude of variables influencing stock values. This article includes a thorough analysis of 50 research papers that propose methodology for stock market prediction, including Bayesian models, fuzzy classifiers, artificial neural networks (ANNs), support vector machines (SVMs) classifiers, neural networks (NNs), and machine learning techniques. The collected papers are categorized using various prediction, clustering …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 26–40 Read article
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Financial Forecast: Systematic Analysis Using Principal Component Analysis
Abstract: The most popular technique for data exploration and analysis across all scientific disciplines that can influence the classification model's accuracy is principal component analysis (PCA). In this study, the high dimensionality of the stock market is examined in order to forecast market movements using PCA in conjunction with linear regression. While reducing data redundancy, PCA can aid in enhancing the predictive performance of machine learning techniques. The New York Stock …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 18–24 Read article
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Analysis of Gold Price Trend Using the Hidden Markov Model
Abstract: This study aims to analyze the behavior of gold prices in India through a two-state Hidden Markov Model (HMM). We first formulated crucial parameters, such as the Transition Probability Matrix (TPM), Initial Probability Vector (IPV), and Emission Probability Matrix (EPM). Subsequently, we constructed a hidden Markov probability distribution and evaluated Pearson’s coefficients to gauge the correlations separately for each state. The goodness of fit of the developed model was assessed …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 7–16 Read article
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Canonical Relationship between Indian Stock Price Index and Exchange Rates
Abstract: In this study we have investigated the canonical relationship between stock prices and exchange rates of the emerging Indian economy. We have considered monthly nominal exchange rate of US Dollar, Pound, Euro, Japanese Yen and monthly values of BSE and NSE, stock price index for the period of 3rd January, 2000 to 15th November, 2017. The canonical correlations between the first and second pairs of canonical variate were found to …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 12–16 Read article
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Cointegration and Error Correaction Modeling for BSE and NSE Stock Prices Time Series Data
Abstract: AbstractEconometrician always have been observed that most of the economics time series are non-stationary. The ordinary least square technique could be applied to estimate the model parameters only if the variables have been found to be stationary, i.e., they do not have unit roots. Otherwise, an alternative approach has to be followed, which is ‘co-integration’. Co-integration is a method of finding out the long-term relationship between economic variables under consideration. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 3, 2017 · pp. 30–41 Read article
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Time Series Model for National Stock Price Prediction
Abstract: The national stock exchange is widest and fully automatic trading system in India. Analysis and prediction of stock market time series data have involved considerable interest from the researchers over the last decade. In this paper, the Nifty 50 closing stock market prices were computed and predicted the trend of stock market fluctuations using time series modeling techniques, like exponential smoothing and autoregressive integrated moving average. The forecasted values of …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 85s–90s Read article
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An Overview on Time Series Data Clustering
Abstract: This paper gives an overview on time series clustering, which is an important topic now days. Time series data is has importance because of its applications, such as financial data processing like Stock Exchange, network monitoring, web click-stream analysis, sensor data mining, marketing research, and anomaly detection. Therefore in the data mining clustering such data is an important issue. Time series data are a special type of data set and …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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The Effect of Working Capital Management with Net Operating Profit of Manufacturing Companies
Abstract: This study attempts to show the impact of working capital management on operating profit for manufacturing organizations in order to reach profit targets and increase sales. Additionally, it seeks to determine whether working capital management significantly affects a company's operating net profit. Working capital management factors such as average collection period, daily balance turnover, average payment period, cash conversion cycle, and net exchange turnover of the business are considered in …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 1, 2024 · pp. 29–36 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article
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Exploring the Efficiency of Leading and Lagging Indicators in Algorithmic Trading
Abstract: This paper details a comparison of the overall performance of leading and lagging technical indicators used in algorithmic trading over an extended period. While much of the prior research focuses on index price forecasting and some on statistical arbitrage derived from these predictive techniques, there is a scarcity of studies that assess and evaluate trading strategies. The strategies considered for the study were tested on historical data of the 50 …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 8–18 Read article
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Blockchain and its impacts on the improvement of Bookkeeping
Abstract: At its generally essential level, blockchain innovation can possibly assist us with disposing of focal outsider specialists like the Stock Trade, Public Instalment Framework, and Property Registers. They keep up with track of two-party exchanges and give checked receipts or duplicates of the data. Bookkeeping utilizes these checked receipts or duplicates of papers to keep exchanges in the books of records. Since blockchain is a shared organization, it does not …
Published in Journal of Advanced Database Management & Systems · Vol. 9, Issue 3, 2022 · pp. 9–14 Read article
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Predicting And Forecasting Stocks
Abstract: Stock value estimation may be a well-liked and vital topic in money and tutorial studies. Share Market is associate untidy place for predicting since there aren't any vital rules to estimate or predict the value of a share within the share market. Several ways like technical analysis, basic analysis, statistical analysis, and applied mathematics analysis, etc. area unit all want to conceive to predict the value within the share market …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 1, 2022 · pp. 1–5 Read article
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In vitro Antiviral Chemical Treatment to BBTV-Infected Banana Cultures for Production of Virus-Free Plants
Abstract: Obtaining healthy plants from infected germplasm banana stocks is a major problem. Banana bunchy top virus (BBTV) is the most destructive pathogen for the banana crop. Production of virus-free plants is crucial for cultivation, germplasm conservation and their exchanges. In vitro shoot meristem culture is the most common method for producing disease-free planting material. However, BBTV can multiply with in vitro cultures too. Therefore, for eliminating BBTV, the shoot-tip culture …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 3, 2019 · pp. 28–33 Read article
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Curbing Speculation vs. Market Participation: A Study of SEBI’s 2024 Derivatives Measures
Abstract: The derivative market has become a cornerstone of India’s financial ecosystem, complementing the traditional stock market by enabling risk management, price discovery, and liquidity enhancement. However, with the rapid growth of this segment, concerns over speculative activities have prompted regulatory intervention. On October 1, 2024, the Securities and Exchange Board of India (SEBI) introduced significant reforms aimed at curbing speculation, protecting retail investors, and fostering market stability. While these changes …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 28–43 Read article
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Energy Efficient for Heat Exchanger, Refrigeration and Air Conditioning
Abstract: Scientifically, it is difficult to predict the relationship between global temperature and greenhouse gas (GHG) concentrations. The climate system contains many processes that will change if warming occurs. Critical processes include heat transfer by winds and tides, the hydrological cycle involving evaporation, precipitation, runoff and groundwater and the formation of clouds, snow, and ice, all of which display enormous natural variability. The equipment and infrastructure for energy supply and use …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 5, Issue 3, 2018 · pp. 33–42 Read article
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A review on Design of Cascade Vapour compression Refrigeration System
Abstract: Cascade refrigeration system is an ultra-low temperature multi-stage refrigeration systems operating at ideal low temperatures ranging from -30°c to -100°c.Cascade system is a frigid system that adopts dual refrigerants having diverse boiling points, that escape through the medium of their particular frigid cycle and are combined by a cascade heat exchanger. Cascade refrigeration systems are used for obtaining faster cooling in a much lower time than the normal vapour compression …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 5, Issue 3, 2018 · pp. 1–6 Read article
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Compact Autonomous Multipurpose IoT BOT
Abstract: AbstractInternet of things (IoT) is widely used in interconnection of physical and other embedded devices, which enables the objects to exchange data. Robotics is the technology which is used to carry out complex series of actions either automatically or command based, guided by an embedded system within it. The proposed work is an integration of IoT with robotics for home automation. First, when the user enters into the house, robot …
Published in Journal of Instrumentation Technology & Innovations · Vol. 8, Issue 1, 2018 · pp. 27–33 Read article