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160 articles for “Stock”
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
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Artificial Neural Network Model for Stock Market Forecasting
Abstract: AbstractIn recent years, many attempts have been made to predict the behavior of bonds, currencies, stocks or stock markets. Neural networks, as an intelligent data mining method, have been used in many different challenging pattern recognition problems such as stock market prediction. The aim of this paper is to predict stock market using artificial neural networks (ANNs). The authors used feed forward neural network trained by back-propagation algorithm to make …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 7–12 Read article
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Soil Carbon Stock Under Different Land Uses of Southern Agroclimatic Zone of Tamil Nadu, India
Abstract: AbstractSoil organic carbon (SOC) has long been identified as a factor that is important to soil fertility as well as to the environment because of huge carbon sequestration potential of soils. Estimating C pools under existing land uses provides baseline data to project C sequestration over time. The present study was undertaken to estimate the SOC stock in dominant soil series under different land uses of Southern Agroclimatic zone of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 8, Issue 3, 2019 · pp. 1–7 Read article
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Stock Market Forecasting Using Time Invariant Fuzzy Time Series Model
Abstract: Stock market volatility is an important for investment, option pricing and financial market regulation. In recent years a different types of models which apparently predict changes in stock market prices have been introduced. There are many methods in the literature to solve the problem of future prediction. The present study provides a foundation for the development and application of fuzzy time series model for short term investor as well as …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 104s–111s Read article
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Stock Market Forecasting Using Artificial Neural Networks (ANNs): A Review
Abstract: AbstractThis paper reviews all recent work done for stock market prediction using machine learning and artificial intelligence (AI). Artificial neural networks (ANNs), a field of artificial intelligence (AI), is relatively latest, dynamic and promising technique in stock market forecasting, an area that has been of much research. From this literature review, it is concluded that ANNs is very valuable for predicting world stock markets.Keywords: artificial neural network (ANNs), stock market, …
Published in Journal of Computer Technology & Applications · Vol. 4, Issue 2, 2013 · pp. 18–29 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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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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The Study on Adaptability, Growth Performance and Reproductive Biology of Common Carp (Cyprinus carpio Linnaeus, 1758) Stocked in Reservoirs of Gumer District, Guraghe Zone, SNNPRS, Ethiopia
Abstract: Understanding the adaptability, growth performance and reproductive biology is very important for the proper utilization of fish species and their sustainable production. This study aimed to establish the first information on the adaptability, growth condition and some reproductive biology of common carp (Cyprinus carpio Linnaeus, 1758) stocked in Stocked in Reservoirs of Gumer District (Arekit, Yaboba and Dewashe), Guraghe Zone, SNNPRS (Ethiopia) for designing an appropriate management methods. Fish specimens …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 11, Issue 3, 2022 · pp. 1–9 Read article
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Evaluation of Nile Tilapia (O.niloticus) Growth Under Fish Cage Culture in Lake Small Abaya, Ethiopia
Abstract: This study was carried out to assess the impact of various stocking densities on O. niloticus growth efficiency reared in cage in Lake Small Abaya. The stocking densities of 100, 150, and 200 fish per m3 were used as treatments 1,2 and 3, respectively. Juvenile fish with the lengths ranging from 13–15 cm and weighing from 60–70 g were initially selected, and stocked in the three different fish cages. The …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 11, Issue 3, 2022 · pp. 34–41 Read article
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Stock Market Prediction Based on News Sentiments
Abstract: AbstractIn today’s era, the count of investor is increasing day by day. For identifying the market risk and for the growth of profit, the market stock prediction is an important factor. People are using traditional theorems for predicting market behavior. Different methods are used for predicting the market share price such as support vector machine, regression, sentiments from different social websites like Twitter and Facebook, etc. which have some limitations. …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 26–33 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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Wall Street Prognosis
Abstract: We all know that the stock market is volatile. There is so much turmoil and turbulence in the stock market that it is difficult to predict what will happen. The main purpose of the thematic debate is to predict the future stability of the market with probability coefficients. Investors are familiar with the adage “buy low, sell high” but it doesn't provide enough context to make sound investment decisions. Before …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 9–15 Read article
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Soil Organic Carbon Stocks in Different Land Uses at Puthupet, Tamil Nadu, India
Abstract: AbstractSoil organic carbon (SOC) stocks were assessed in different land uses i.e., Cocos nucifera, Anacardium occidentale, Mangifera indica, Casuarina equisetifolia plantations, wasteland and natural forest at Puthupet, Tamil Nadu, India using Walkley and Black’s method. The soil bulk density was found to increase significantly (P< 0.05) with the increase in soil depth in all the sites except natural forest. Highest bulk density was recorded in wasteland and the least was …
Published in Research & Reviews : Journal of Ecology · Vol. 4, Issue 3, 2015 · pp. 6–14 Read article
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Econometric Modeling for Oil Sectors Stock Prices Time Series Data
Abstract: This study examines the dynamic relationships of stock oil prices of different Indian oil sectors viz., Bharat Petroleum, Hindustan Oil Corporation and Oil and Natural Gas Corporation based on the different econometric models. Empirical result shows that the monthly oil prices are non-stationary and integrated of order one. Johanson procedure to test for the possibility of co-integration relationships result shows that there is no co-integration relationship. Since the variables are …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 27–34 Read article
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Review Paper on Platform for Big Data Analytics as a Service with Stock Market Prediction and Analysis
Abstract: Petabyte-scale data is referred to as big data. The sum of the data in this quantity, which includes audio files, image files, and many more. Due to the unstructured nature of the data, it is challenging to evaluate the information that is gathered from it. As a result of social networking and cloud computing, data has significantly increased. It is therefore difficult to assess, process, and store. Big data processing …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 1, 2023 · pp. 1–5 Read article
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Comparative Performance Study: Deterministic vs. Probabilistic Models in Retail Chains
Abstract: The finished goods, raw materials, and product stock that a business has on hand for sale are referred to as inventory. They enable the companies to achieve their sales levels and are a chance to cost control and decision making. It is a huge asset to a manufacturing firm. Inventory model permits forecasting of quantities of raw material, inventory and spare parts of the equipment to a very high level …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 1–6 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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Synthesis and Characterization of Biofuel from Non-edible Seed Oil
Abstract: There are many medicinal application found in sapodilla fruit, bark leaves and seeds like inhibition of ehrlich ascites carcinoma, in vitro and in vivo antioxidant activity, free radical scavenging activity and antimicrobial activity. Biodiesel is a more attractive product from sapodilla seed oil to diesel engines, because of seeds are chiefly available and non-edible to all human being. Since most of the biodiesel were derived from edible oils like soybean, …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 3, Issue 2, 2013 · pp. 25–33 Read article
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Population biology of the Sleeper fish Eleotris vittata from New Calabar River , Port Harcourt, Nigeria
Abstract: The population of Eleotris vittata was studied in the New Calabar River over a period of twelve months with the aim of providing a baseline data for the management of the stock; this was due to unavailability of information on the status of the stock. Analysis for growth using the Von Bertalanffy function revealed that length infinity was 26.34cm, parameter of curvature was 1.18cm/year, and the growth performance index was …
Published in Research & Reviews : Journal of Ecology · Vol. 8, Issue 2, 2019 · pp. 28–31 Read article