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8 articles for “NSE”
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Using Elliot Wave Theory and Fibonacci Retracement and in Algorithmic Trading
Abstract: The analysis technique used in predicting stock prices consists of Fundamental analysis and Technical analysis. These analyses are complex in nature and usually unreliable. The algorithmic trading systems offered today consists of primitive technical analysis techniques such as, simple moving averages, exponential moving average, moving averages convergence and diversions and volume weighted average price. The primitive nature of this techniques makes them very unreliable and has a low success rate. …
Published in Trends in Machine design · Vol. 7, Issue 3, 2020 · pp. 22–29 Read article
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Hepatoprotective Efficiency of Nigella sativa L. Extract on D-Galactosamine Induced Toxicity
Abstract: The Protective role of Nigella Sativa L. alcoholic extract (NSE) was investigated on D-Galactosamine (DGalN) induced hepatotoxicity in rats. Twenty four adult wistar albino rats were divided into four groups viz Control, D-Galatosamine induced hepatotoxicity, Nigella sativa alcoholic extract and Nigella Sativa alcoholic extract pretreatment prior to the administration of D-Galactosamine. After treatment, the rats were sacrificed, blood and liver samples were collected for determination of Serum Aspartate transaminase (AST), …
Published in Research and Reviews: A Journal of Toxicology · Vol. 1, Issue 1-3, 2011 · pp. 39–44 Read article
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Unmasking Hallucinations in Large Language Models Using Analysis of the LLAMA 2 Model and RAG Intervention
Abstract: The study describes the creation of a chatbot for financial trading called "TradeBot" and how it uses Retrieval Augmented Generation (RAG) to overcome the problem of producing false or unverifiable information, sometimes known as hallucinations. RAG allows the chatbot to refer to an external data source in addition to its taught knowledge, which increases the accuracy of its responses. The NCFM (NSE's Certification in Financial Markets) book was integrated as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 76–86 Read article
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Rainfall-runoff Modeling using HEC-HMS Hydrologic Model for Guder River Watershed, Blue Nile Basin, Ethiopia
Abstract: Rainfall-runoff modeling is important for a number of hydrologic applications including flood forecasting, water resource planning and management. This study presents the result of a watershed rainfall-runoff modeling for Guder river watershed having area of 6597 km 2 using Hydrologic Engineering Center-Hydrologic Modeling Systems (HEC-HMS). The watershed runoff is varying spatially and temporally due to manmade factors and natural factors on the watershed. These issue needs efficient water resource planning …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 62–77 Read article
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Evaluation of Best Watershed Management Practice for Sediment Yield Reduction (The Case Study of Baro Akobo of Upper Gilo Watershed, Ethiopia)
Abstract: This study aimed to estimate the sediment yield, evaluating its distribution, and compare the selected Best Management Practices (BMPs) and identify relatively effective management practices to alleviate soil erosion and sedimentation yield in the Upper Gillo watershed. Soil and Water Assessment Tool (SWAT) model with the interface of Geographical Information System (GIS) were used to simulate, streamflow and sediment yield. Meteorological, hydrological and spatial data were used while modeling the …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 1–17 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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LEVERAGING ON ENERGY MIX FOR TRANSITION FROM CURRENT ENERGY SITUATION TO CLEAN ENERGY ENVIRONMENT IN NIGERIA
Abstract: Clean Energy Environment is vital for health, wealth, industrial output and economic growth. This paper x-rays possibilities of leveraging on energy mix to transit from current state to Clean Energy Environment in Nigeria. Current energy situation were carefully checked and mitigation strategies identified. Findings revealed that there are a lot of pollution of our environment due to energy deficit, inadequate utilization of renewable energy, lack of strategic management skills, decadence …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 13, Issue 1, 2022 · pp. 21–28 Read article
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HEC-HMS Based Estimation of Rainfall Runoff Relationship in Central Highlands of Ethiopia, a Case Study in Beressa Watershed
Abstract: Rainfall and runoff are the most frequently used events in hydrology. Calculating of a flow at the outlet of river is vigorous for a number of hydrologic studies like water resource management and flood forecasting. This study supported out to estimate rainfall-runoff relation in Beressa watershed. HEC-HMS model is used to pretend rainfall-runoff process and to apply the rainfall-runoff analysis by using SCS_CN method in Beressa Watershed. A physical based …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 40–63 Read article