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Journal articles on the topic 'Technical Analysis Strategies'

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1

Ms. D. Sandhya rani, Dr. T. Vara Lakshmi, and B. Adithya. "Technical Analysis: Exploring Technical Indicators." International Research Journal on Advanced Engineering and Management (IRJAEM) 2, no. 05 (2024): 1640–42. http://dx.doi.org/10.47392/irjaem.2024.0230.

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Technical analysis is a widely used method for evaluating financial markets and making investment decisions. This study explores the principles and techniques of technical analysis and its role in aiding investors to interpret market trends, identify patterns, and anticipate price movements. The analysis delves into various technical indicators such as moving averages, oscillators, and chart patterns, examining their effectiveness in predicting market behavior. Additionally, the study investigates the integration of technical analysis with other forms of analysis, such as fundamental analysis
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Conolly, James. "Technical strategies and technical change at Neolithic Çatalhöyük, Turkey." Antiquity 73, no. 282 (1999): 791–800. http://dx.doi.org/10.1017/s0003598x00065534.

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Analysis of knapped obsidian and flint artefacts from the early ceramic Neolithic site of Çatalhöyük has shown that there were several strategies used for the production of knapped-stone tools, and that there was a profound change in the character of lithic production occurring approximately during the middle of the occupation sequence. This paper outlines the details of this technical change and, with reference to possible changes in subsistence strategies and the organization of production, offers some explanations for its occurrence.
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Gimmelberg, Dmitrii, Marta Glowacka, Alexey Belinskiy, Valentin Artamov, and Max Gimmelberg. "Democratising Technical Analysis." International Journal of Finance & Banking Studies (2147-4486) 14, no. 2 (2025): 138–46. https://doi.org/10.20525/ijfbs.v14i2.4219.

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This study examines whether Large Language Models (LLMs) can support momentum-based breakout strategies for retail investors by analysing technical charts and validating statistical patterns. We analysed 3,621 price charts (2023–2025) to assess LLMs’ ability to identify trading setups and deviations from random walk behaviour. 13,624 tests were run on 1,204 trades using various statistical tests. While 70% of patterns conformed to random walk behaviour in the short term (7–15 days), momentum signals rose to 26.42% over longer periods (50–250 days). Complex prompting produced both higher random
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Sehgal, Sanjay, and Meenakshi Gupta. "Tests of Technical Analysis in India." Vision: The Journal of Business Perspective 11, no. 3 (2007): 11–23. http://dx.doi.org/10.1177/097226290701100303.

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The study evaluates the economic feasibility of technical analysis in the Indian stock market. It discusses that technical indicators do not outperform Simple Buy and Hold strategy on net return basis for individual stocks. Technical indicators seem to do better during market upturns compared to market downturns. However, technical based trading strategies are not feasible vis-à-vis passive strategy irrespective of market cycle conditions. Technical indicators also do not provide economically significant profit for industry as well as economy based data. Combining fundamentals with technical i
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Ankit Khandelwal. "Fair pricing strategies in modern markets: A technical analysis." World Journal of Advanced Engineering Technology and Sciences 15, no. 1 (2025): 1222–32. https://doi.org/10.30574/wjaets.2025.15.1.0343.

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This comprehensive article examines the implementation and effectiveness of fair pricing strategies in modern healthcare markets, focusing on the integration of artificial intelligence and machine learning technologies. The article analyzes various aspects of pricing frameworks, including regulatory compliance, performance metrics, and risk management strategies across different healthcare settings. Through a detailed examination of price control mechanisms, dynamic pricing systems, and compliance frameworks, the article demonstrates how advanced technologies and structured implementation appr
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Lee, Minkyu. "A Study on Time Series Momentum and Technical Analysis." Dongguk Business Research Institute 46, no. 1 (2024): 23–50. http://dx.doi.org/10.55685/bcr.2024.46.1.23.

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This study comprehensively analyzes time series momentum and moving average strategies for the Korean stock market. The results of the empirical analysis are as follows. The correlation coefficients between the returns of time series momentum and moving average strategies are on average above 0.8, indicating that the two strategies are closely related. When calculating risk-adjusted returns and abnormal returns, Sharpe ratios and Jensen alphas were generally higher for the moving average strategy compared to the time series momentum strategy. Decomposing the difference in returns between time-
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Markushin, Vladislav. "Inside Blockchain Startups: Precision Strategies to Sidestep Technical Pitfalls." American Journal of Engineering and Technology 07, no. 07 (2025): 96–101. https://doi.org/10.37547/tajet/volume07issue07-11.

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This paper presents a structured analysis of common engineering failures in early-stage blockchain startups. Drawing on practical experience within the Ethereum, Solana, Polkadot, and Cosmos SDK ecosystems, it identifies five recurrent categories of technical pitfalls: inadequate system design, fragile or overly coupled architectures, improper use of cross-chain protocols, insufficient build and release automation, and limited observability and runtime diagnostics. The study employs a case-based methodology across five representative projects, covering a wide range of protocol layers and archi
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Bhanuprakash, Madupati. "Kubernetes: Advanced Deployment Strategies- Technical Perspective." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 9, no. 2 (2021): 1–10. https://doi.org/10.5281/zenodo.14005206.

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Container orchestration is a foundational element of Kubernetes, the pre-eminent container orchestration platform responsible for automating the deployment, number of processes, and scaling up and down containers. Advanced Deployment Strategies official Kubernetes Concepts Doc at Kubernetes.org This paper covers some advanced deployment strategies in Kubernetes like Blue-Green Deployment Rolling updates Auto-scaling mechanisms. It is necessary to keep high availability and spare resources in cloud environments. Besides, it comes with continuous service-delivering functionality, particularly in
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Bhanuprakash, Madupati. "Kubernetes: Advanced Deployment Strategies - *Technical Perspective." International Journal of Leading Research Publication 2, no. 4 (2021): 1–12. https://doi.org/10.5281/zenodo.15109750.

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Container orchestration is a foundational element of Kubernetes, the pre-eminent container orchestration platform responsible for automating the deployment, number of processes, and scaling up and down containers. Advanced Deployment Strategies official Kubernetes Concepts Doc at Kubernetes.org This paper covers some advanced deployment strategies in Kubernetes like Blue-Green Deployment Rolling updates Auto-scaling mechanisms. It is necessary to keep high availability and spare resources in cloud environments. Besides, it comes with continuous service-delivering functionality, particularly in
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Dicle, Mehmet F., and John D. Levendis. "Technical Financial Analysis Tools for Stata." Stata Journal: Promoting communications on statistics and Stata 17, no. 3 (2017): 736–47. http://dx.doi.org/10.1177/1536867x1701700312.

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In this article, we provide four financial technical analysis tools: moving averages, Bollinger bands, moving-average convergence divergence, and the relative strength index. The tftools command is used with four subcommands, each referring to a technical analysis tool: bollingerbands, macd, movingaverage, and rsi. We provide examples for each tool. tftools allows researchers to backtest their own investment strategies and will be of interest to investors, researchers, and students of finance.
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Frolova, T. I., D. S. Ilchenko, and E. A. Striga. "Business Media Strategies in Analysis of Scientific and Technical Topic." Scientific and Technical Information Processing 50, no. 4 (2023): 292–300. http://dx.doi.org/10.3103/s0147688223040135.

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Abuselidze, G., A. Slobodianyk, and N. Reznik. "Ensuring Trading Strategies Profitability with Technical Analysis Tools and Computer Technology." SHS Web of Conferences 71 (2019): 04005. http://dx.doi.org/10.1051/shsconf/20197104005.

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The paper is devoted to the study of the tools of technical analysis using computer technology. It analyzes the current conditions and the essence of the stock market, the basis of its functioning. The advantages of technical analysis are presented including accessibility and relative simplicity of its use. It analyzes the main indicators of the world stock market development and modern constant signs and tendencies of the process. It is revealed that the improvement of the technical analysis and increase of the forecast accuracy is a complex process. The prospects for the effective use of tec
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Hartono, Jogiyanto, and Dedhy Sulistiawan. "The Market Quality to Technical Analysis Performance: Intercountry Analysis." Gadjah Mada International Journal of Business 16, no. 3 (2014): 243. http://dx.doi.org/10.22146/gamaijb.5658.

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The main objective of this research is to discuss the impact of market quality on technical analysis profitability using inter-country analysis. Market quality is proxied by market capitalization. Technical analysis performance (profitability) is calculated using technical analysis return for MA5 indicator and short transaction strategy. This study uses the OSIRIS and Yahoo Finance databases. Using 21 countries with 50 companies for each country, this study finds that market quality affects technical analysis performance. Robustness tests are conducted for longer moving average indicators that
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Seth, Sidharath, and Jaspal Singh. "Examining profitability of Hammer candlestick pattern in Indian Stock Market." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 1 (2019): 106–12. https://doi.org/10.5281/zenodo.2538132.

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This paper focuses exclusively on a single candlestick reversal pattern ‗Hammer‘. Its profitability is investigated by using daily data of Nifty 50 component stocks over the period from August 1, 1998 till December 31, 2017. Seven different trading strategies based on hammer are tested using bootstrapped skewness adjusted t-test and binomial test. The success of five trading strategies shows that hammer pattern has significant predictive power in Indian stock market. The study recommends that one should trade hammers of significantly larger size, keep the stop loss at the low of the hamm
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Zulkifli, Nordaliza, Mohammad Tahir Sabit Mohammad, and Abd Halim Hamzah. "Suggested Information Strategies for Malaysian Land Administration." GATR Global Journal of Business Social Sciences Review 4, no. 2 (2016): 58–66. http://dx.doi.org/10.35609/gjbssr.2016.4.2(8).

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Objective - The purpose of this study is to identify the issues in implementing information sharing practice in an organization related to the technical and non-technical aspect. This study attempts to discuss the indicator and strategies for information sharing practice, which appropriate in Malaysian land administration. Methodology/Technique - This study will be conducted in a qualitative method. Primary data will be obtained from an interviewed session with the respondents and will be analyzed using a thematic and SWOT analysis. Secondary data will be collected from the content analysis of
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Ashutosh Verma. "Auto-scaling strategies for cloud-based microservices architectures: A technical analysis." World Journal of Advanced Research and Reviews 26, no. 2 (2025): 3510–17. https://doi.org/10.30574/wjarr.2025.26.2.1988.

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This article presents a comprehensive technical review of auto-scaling strategies for cloud-based microservices architectures, addressing the critical challenge of dynamically allocating resources in response to fluctuating demand. Three primary scaling approaches are examined: reactive strategies that respond to immediate system conditions, proactive strategies that leverage historical data to predict future requirements, and hybrid strategies that combine elements of both. The article details implementation mechanisms, performance characteristics, and appropriate use cases for each strategy,
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Sai, Kiran Nandipati. "Optimizing Collections Strategies with pega Decisioning Solutions: A Comparative Analysis." Journal of Scientific and Engineering Research 10, no. 7 (2023): 135–40. https://doi.org/10.5281/zenodo.13347906.

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This technical paper evaluates and compares various collections strategies implemented in the financial sector using Pega Decisioning Solutions. It focuses on the effectiveness of personalized strategies, segmentation techniques, and automation in improving collections performance, reducing delinquency rates, and maximizing recovery. The paper provides a comprehensive analysis of how Pega Decisioning Solutions can optimize collections strategies through advanced analytics, machine learning, and decisioning capabilities. By examining different methodologies and their outcomes, the paper aims to
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KAWACHI, Shinji. "306 Chemical Thermal Fluid Analysis in Technical Strategies of Glass Industry." Proceedings of Conference of Hokuriku-Shinetsu Branch 2001.38 (2001): 77–78. http://dx.doi.org/10.1299/jsmehs.2001.38.77.

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Jiang, Yutong. "An Analysis of English Teaching Strategies in Higher Vocational Technical College." SHS Web of Conferences 185 (2024): 01007. http://dx.doi.org/10.1051/shsconf/202418501007.

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English teaching in higher vocational techcial colleges has certain particularity, so the English teaching mode of exam-oriented education should not be used. It should not imitate the college English teaching model of undergraduate colleges as well. It is necessary to pay more attention to students’ actual English level and employment needs to formulate vocational college English teaching methods. Based on the analysis of the current situation of students’ English learning and the common problems in English teaching in higher vocational technical colleges, this thesis explores some practical
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Moghaddar, Ali Taheri, Alaa Ali Hameed, Akhtar Jamil, and Faezeh Soleimani. "Genetic algorithm-based optimization of technical analysis models for trading strategies." IET Conference Proceedings 2024, no. 34 (2025): 744–50. https://doi.org/10.1049/icp.2025.0175.

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Yu, Mengna, Peng Li, Danxiao Gu, and Yan Shi. "Palmprint Identification: Status and Strategies Analysis." Journal of Safety Science and Engineering 1, no. 2 (2024): 14–19. http://dx.doi.org/10.62517/jsse.202408203.

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Palm print identification is a crucial component of handprint identification and serves as a technical method for confirming personal identity in investigative case-solving and judicial litigation. Currently, in practical applications, issues such as the lack of scientific identification methods, absence of clear identification standards, poor stability of certain minutia, and insufficient attention from identification personnel have led to a situation where there is a scarcity of relevant theoretical guidance and practical achievements, slow research progress, questionable scientific validity
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Karki, Dipendra, Rewan Kumar Dahal, Ganesh Bhattarai, Sudeep Balla, and Arun Lama. "Performance Evaluation of Technical Analysis in the Nepalese Stock Market: Implications for Investment Strategies." Quest Journal of Management and Social Sciences 5, no. 1 (2023): 69–84. http://dx.doi.org/10.3126/qjmss.v5i1.56295.

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Purpose: This study aims to examine the performance of five widely used technical indicators on Nepal Stock Exchange (NEPSE) indexes. Specifically, the study evaluates indicators such as the simple moving average, moving average convergence and divergence, relative strength index, stochastic oscillator, and Bollinger Band. Design/methodology/approach: The study utilizes a descriptive and quantitative research design. Daily closing index data of NEPSE and its six sub-indices are analyzed for a substantial period, ranging from 1st September 2012 to 31st August 2022. The performance of the techni
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Trivedi, Smita Roy. "‘Manna from heaven’: does the presence of central banks make technical analysis profitable?" European Journal of Economics and Economic Policies: Intervention 18, no. 1 (2020): 11–28. http://dx.doi.org/10.4337/ejeep.2020.0072.

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Profitability of technical-analysis strategies has been explained with reference to central-bank intervention in markets (Neely 1998; LeBaron 1999; Saacke 2002). I argue that central-bank intervention is a market shock which leads to a generation of trends, making technical analysis profitable. Looking at empirical evidence from the Indian foreign-exchange market, I find returns calculated for the entire period are consistently and substantially higher than when intervention periods are removed. Thirteen out of the 15 strategies demonstrate higher returns with intervention periods included, co
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Prasad, Kulkarni, and Murugaiah V. Dr. "Japanese Candlestick Trading Strategies: A Review of Literature." RESEARCH REVIEW International Journal of Multidisciplinary 03, no. 07 (2018): 469–74. https://doi.org/10.5281/zenodo.1323120.

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The purpose of this study is to review the evidence on the performance of Japanese candlestick trading strategies. To achieve this, the study comprehensively reviews survey, theoretical and empirical studies on the subject of candlestick trading strategies and discusses the consistency and reliability of candlestick trading across markets and over time. The majority of the studies were collected from academic journals published from 1998 to the present and recent working papers, books and magazines. The reviews are arranged under two sections, first section contains review of studies that stat
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Naganjaneyulu G, V. S. S. K. R., Prashanth G, Revanth M, and A. V. Narasimhadhan. "Multi Indicator based Hierarchical Strategies for Technical Analysis of Crypto market Paradigm." International journal of electrical and computer engineering systems 14, no. 7 (2023): 765–80. http://dx.doi.org/10.32985/ijeces.14.7.4.

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The usage of technical analysis in the crypto market is very popular among algorithmic traders. This involves the application of strategies based on technical indicators, which shoot BUY and SELL signals to help the investors to take trading decisions. However, instead of depending on the popular myths of the market, a proper empirical analysis can be helpful in lucrative endeavors in trading cryptocurrencies. In this work, four technical indicators namely Exponential Moving Averages (EMA), Bollinger Bands (BB), Relative Strength Index (RSI), and Parabolic Stop And Reverse (PSAR) are used indi
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Almeida, Luís, and Elisabete Vieira. "Technical Analysis, Fundamental Analysis, and Ichimoku Dynamics: A Bibliometric Analysis." Risks 11, no. 8 (2023): 142. http://dx.doi.org/10.3390/risks11080142.

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This article aims to contribute to the academic knowledge in the field of scientific production regarding decision support tools for investments in the capital market, specifically focusing on fundamental analysis, technical analysis, and Ichimoku dynamics. Bibliometric analysis, following the three main laws (Bradford’s Law, Lotka’s Law, and Zipf’s Law), was employed to evaluate scientific production, identify publication patterns, and uncover gaps and collaboration networks over the last thirty years. To achieve these objectives, 1710 relevant academic publications on the topic were analyzed
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Mohammad Asad Hussain. "A comparative analysis of cloud migration strategies for enterprise systems architecture." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 747–56. https://doi.org/10.30574/wjaets.2025.15.2.0622.

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This article presents a comparative analysis of cloud migration strategies within enterprise systems architecture, examining how different approaches impact technical performance, architectural sustainability, and business value alignment. Through mixed-methods research encompassing 17 organizations across financial services, healthcare, manufacturing, and public sectors, the article evaluates the efficacy of rehosting, refactoring, rearchitecting, and replacement strategies. This article's findings reveal that strategy selection effectiveness depends critically on contextual factors including
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Zisopol, Dragoș Gabriel, Maria Tănase, and Alexandra Ileana Portoacă. "Innovative Strategies for Technical-Economical Optimization of FDM Production." Polymers 15, no. 18 (2023): 3787. http://dx.doi.org/10.3390/polym15183787.

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This article introduces a multi-objective optimization approach for determining the best 3D printing parameters (layer thickness and infill percentage) to efficiently produce PLA and ABS parts, extensively analyzing mechanical behavior under tests for different traits such as tensile strength, compression, flexural, impact, and hardness. The value analysis method is used to optimize settings that balance use value (Vi- represented by mechanical characteristics) and production cost (Cp). Findings reveal that the infill percentage significantly influences the Vi/Cp ratio for tensile, compression
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Harsh Pachori. "Gamification for Multi-Generational CRM Engagement: A Technical Analysis." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 1817–35. https://doi.org/10.32628/cseit25112541.

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This technical article explores the integration of gamification principles within Customer Relationship Management (CRM) systems to engage multi-generational clients in the financial services industry. It examines how different generations, from Baby Boomers to Generation Z, interact with digital banking platforms and respond to various gamification mechanics. Through research analysis, the article investigates the implementation of generation-specific engagement strategies, technical architecture requirements, and optimization approaches for multi-channel integration. The article addresses co
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Kang, Seung Hyun, Yong Won Song, and Jung Won Yeom. "External Environmental Analysis of Technical Systems for Establishing R&D Strategies." Asia-pacific Journal of Convergent Research Interchange 8, no. 2 (2022): 235–44. http://dx.doi.org/10.47116/apjcri.2022.02.20.

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Researcher. "AUTOMATED CLOUD MIGRATION STRATEGIES FOR ENTERPRISE RESOURCE PLANNING SYSTEMS: A TECHNICAL ANALYSIS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 967–79. https://doi.org/10.5281/zenodo.14281519.

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This comprehensive article examines the integration of cloud automation tools for seamless enterprise system migration, focusing on the transformation of traditional ERP systems to cloud-based infrastructures. The article investigates the implementation of advanced migration technologies, including SAP's Software Provisioning Manager (SWPM), AWS Database Migration Service (DMS), and Terraform, analyzing their impact on migration efficiency, business continuity, and cost optimization. Through a detailed examination of parallel processing frameworks, automated script implementation, and resource
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Akdoğan, Yunus Emre. "WHEN MACHINES LEARN TECHNICAL ANALYSIS: AN APPLICATION ON TECHNICAL ANALYSIS WITH MACHINE LEARNING IN BORSA ISTANBUL." Trakya Üniversitesi Sosyal Bilimler Dergisi 27, IERFM 2025 Özel Sayı (2025): 275–302. https://doi.org/10.26468/trakyasobed.1514346.

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There are two approaches to analyzing the value of a stock in financial markets: fundamental analysis and technical analysis. While fundamental analysis focuses on finding the intrinsic value of a stock based on a company's financial condition and current market conditions, technical analysis focuses on identifying trading signals in patterns by examining historical price behavior and statistics. Although technical analysis, which is based on the assumption that past price movements can be an indicator for future price movements, has a predefined set of rules, the interpretation of the results
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Rodrigues Nascimbeni, João Francisco, Leonardo Goya Machado, Marcos Vinicius Rodrigues Moura Santos, et al. "Anterior Cruciate Ligament Reconstruction: Analysis of Grafts, Associated Injuries, And Anesthetic Strategies." International Journal of Orthopaedics Research 8, no. 1 (2025): 01–05. https://doi.org/10.33140/ijor.08.01.02.

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Objective: This study analyzed the clinical and surgical outcomes of patients undergoing anterior cruciate ligament (ACL) reconstruction, evaluating associated injuries, graft types, anesthetic strategies, and tourniquet time. Methods: Sixteen patients with ACL injuries were included, and their medical records were reviewed to collect data on the variables. Associated injuries were categorized, the types of grafts used were recorded, and anesthetic practices and tourniquet times were analyzed. Results: Associated injuries were identified in 60% of patients, with meniscal injuries being the mos
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To'qmirzayev, Kamol Mo'min ugli. "Comparative analysis between the fundamental and technical analysis of stocks." Yashil iqtisodiyot va taraqqiyot 3, no. 2 (2025): 7–13. https://doi.org/10.5281/zenodo.14871594.

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Like any field in investing and trading, you should have a systematic approach to ensure your edge andgenerate continued profit. Broadly, two schools of thought in financial markets and two main strategies exist: fundamentaland technical analysis. Fundamental analysis and technical analysis differ substantially in terms of their workings andexecution, time horizon employed, tools employed, and goals. Such differences give rise to specific strengths andweaknesses of each of the analyses. Fundamental and technical analysis is also the subject of critical reviews by theacademic and scientific com
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DOS SANTOS PAULINO, VICTOR, and MICHEL CALLOIS. "INNOVATION AND RELIABILITY STRATEGIES IN THE DEFENSE, SPACE AND SEMICONDUCTOR INDUSTRIES: A COMPARATIVE ANALYSIS." International Journal of Innovation Management 14, no. 05 (2010): 795–821. http://dx.doi.org/10.1142/s136391961000288x.

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The objective of this paper is to understand why the pace of technical change has been slower in the defense and space industries than in semiconductors. To answer this question, we adopt an inductive method that exploits historical facts and patent statistics to provide empirical data. Basing our rationale on the appropriation and structural inertia arguments, we show that the constraints imposed by reliability in the defense and space industries impedes the appropriation of supra profits from innovation and thus slows the pace of technical change. The main managerial implication of this resu
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Hong, Lin, and Bin Xia Xue. "Analysis of the Building Damage and its Coping Strategies." Applied Mechanics and Materials 174-177 (May 2012): 2155–59. http://dx.doi.org/10.4028/www.scientific.net/amm.174-177.2155.

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This paper examines the damage of buildings with different structures in 5.12 Wenchuan Earthquake to summarize the features of stress distribution and aseismatic performance and then presents the problems of the masonry building, frame and part of the frame structural buildings in the earthquake. The purpose is to put forward the series of technical strategies of anti-seismic design, which include the overall optimization, stiffness deployment and node strengthening economically and scientifically.
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Chang, Shu-Hao, and Hsin-Yuan Chang. "The study of patent portfolio strategies of oil shale developers." International Journal of Innovation Science 8, no. 3 (2016): 254–68. http://dx.doi.org/10.1108/ijis-06-2016-0009.

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Purpose The development of oil shale has become a popular technique in the energy industry in recent years. Although more research attention has been paid to this topic, there are scanty studies on patent portfolios. This study aims to explore this current mainstream technique and the patent portfolios of oil shale developers and investigates the major assignees at present to find the technical development trend of oil shale as a reference for government, policy makers, investors and industrial strategic development. Design/methodology/approach This study applies correspondence analysis and K-
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Povolná, Renata. "On some persuasive strategies in technical discourse: Cross-cultural analysis of directives in English and Czech technical manuals." Topics in Linguistics 19, no. 2 (2018): 72–85. http://dx.doi.org/10.2478/topling-2018-0011.

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Abstract The aim of the paper is to provide a cross-cultural analysis of selected linguistic realizations of persuasion in the language of technical communication represented by the genre of technical manuals (TM) and to identify the differences and similarities between the ways persuasion is expressed in this type of specialized discourse in English and Czech. More specifically, the paper attempts to discover which linguistic realizations of directives are applied to persuade the readers of the correctness of the instructions and the necessity of reading and following them. The results demons
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Researcher. "THE IMPACT OF AUTOMATION ON SERVICE WORKERS: A TECHNICAL ANALYSIS." International Journal of Engineering and Technology Research (IJETR) 9, no. 2 (2024): 492–504. https://doi.org/10.5281/zenodo.13861756.

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This technical analysis examines the profound impact of automation technologies on service workers across various industries. It explores the key technological drivers of this transformation, including artificial intelligence, machine learning, robotic process automation, and the Internet of Things. The paper analyzes both the challenges and opportunities presented by automation, discussing job displacement, creation of new roles, productivity augmentation, and the emerging skill gap. Through case studies in banking and hospitality, it illustrates the real-world applications and effects of the
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Nguyen Viet Hung. "Forecasting gold price using technical analysis indicators." International Journal of Advanced Economics 6, no. 12 (2024): 788–97. https://doi.org/10.51594/ijae.v6i12.1753.

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Forecasting gold prices remains a complex challenge due to the volatile macroeconomic variables, market sentiment, and global events. This study explores the application of technical analysis indicators, including the Relative Strength Index (RSI), Money Flow Index (MFI), Commodity Channel Index (CCI), and Moving Average Convergence Divergence (MACD) in order to predict short-term and long-term gold price movements. By analyzing these indicators across 1-month and 3-month timeframes on chart, the study provides a dual perspective on gold's behavior, capturing immediate price fluctuations and b
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Singh, Janpreet. "A Comparative Study of Technical vs. Fundamental Analysis in Stock Investment Decisions." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04025.

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Abstract: This research paper investigates the comparative effectiveness of technical and fundamental analysis as decision-making tools for stock market investments. Technical analysis relies on price patterns and market indicators, while fundamental analysis evaluates intrinsic value based on financial and economic data. Using a mixed-methods approach, this study incorporates both quantitative data from five NSE-listed companies over a five-year period (2019–2024) and primary data gathered through surveys of 50 retail investors and interviews with five financial analysts. The findings highlig
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Delalande, François. "Towards an Analysis of Compositional Strategies1." Circuit 17, no. 1 (2007): 11–26. http://dx.doi.org/10.7202/016771ar.

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The author is interested in the process of composing, i.e. the invention of a piece of music from the initial spark of intuition to the final product. His study is based on the “Germinal” project, an experiment in composition involving fourteen composers working with identical technical resources in computer studio 123 of the grm (Groupes de recherches musicales) in Paris in 1985. Their creations all followed a common work schedule in four stages, with each composer adopting a very personal strategy at each of these stages. Describing their strategies amounts to giving an account not only of t
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Resta, Marina, Paolo Pagnottoni, and Maria Elena De Giuli. "Technical Analysis on the Bitcoin Market: Trading Opportunities or Investors’ Pitfall?" Risks 8, no. 2 (2020): 44. http://dx.doi.org/10.3390/risks8020044.

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In this paper we aimed to examine the profitability of technical trading rules in the Bitcoin market by using trend-following and mean-reverting strategies. We applied our strategies on the Bitcoin price series sampled both at 5-min intervals and on a daily basis, during the period 1 January 2012 to 20 August 2019. Our findings suggest that, overall, trading on daily data is more profitable than going intraday. Furthermore, we concluded that the Buy and Hold strategy outperforms the examined alternatives on an intraday basis, while Simple Moving Averages yield the best performances when dealin
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Naidu, Dipish. "A Study on Common Trading Strategies Used by Indian Investors and Traders." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04154.

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Abstract: This study presents a comprehensive review of prevalent trading strategies among Indian retail investors, drawing upon existing literature to analyze their preferences for technical, fundamental, and informal approaches. The research identifies a significant reliance on technical indicators such as RSI and MACD, often employed without comprehensive understanding, and highlights the substantial influence of social media and peer advice on investment decisions. The findings underscore the need for enhanced financial literacy and structured education to promote informed trading practice
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Sophia Andina, Ida Busnetty, Ida Busnetty, and Agustina Suparyanti. "Investment Decision-Making Through Technical Analysis of LQ45 Stocks Movements." International Journal of Economics, Accounting and Management 2, no. 2 (2025): 159–64. https://doi.org/10.60076/ijeam.v2i2.1444.

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Investment decisions in financial markets often face challenges during periods of high price fluctuation and inconsistent trends. This study investigates the role of technical analysis in guiding short-to medium-term investment strategies by evaluating the effectiveness of Bollinger Bands and the Stochastic Oscillator. The research focuses on four stocks from the LQ45 Index – Bank Rakyat Indonesia, Sumber Alfaria Trijaya, Adaro Energy Indonesia, and Unilever Indonesia – analyzing their price movements throughout the 2024 period. A quantitive descriptive method was employed to proccess daily st
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Delgado, Gustavo Rafael Escobar, Anicia Katherine Tarazona Meza, Sandra Auxiliadora Romero Chávez, and Gabriela Stephanie Alcívar Murillo. "Demands of People with Disabilities and Empowerment of Resilient Strategies." International Research Journal of Management, IT & Social Sciences 5, no. 1 (2018): 45. http://dx.doi.org/10.21744/irjmis.v5i1.594.

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The objective of the research is to identify the resilient strategies in people with disabilities of the Technical University of Manabí. The paper presents a conceptual analysis associated with disability in university students. Some points of view related to the strategies of attention to diversity are exposed. A conceptual analysis related to resilience is provided. The situation of disabled students who are enrolled in the different careers of the Technical University of Manabí is addressed, specifying the type of disability they have. An analysis of the population is made for the study and
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Urbaningtyas Ragadini. "Rancangan Kinerja Technical Staff Sebagai Productivity Improvement Pada Line Produksi Garmen Lingerie Dengan Metode Failure Mode And Effect Analysis (FMEA)." Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika 2, no. 1 (2024): 302–10. http://dx.doi.org/10.61132/jupiter.v2i1.190.

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PT XXX is a garment company on an international scale. Technical staff plays an important role in maintaining operational performance, especially in facing challenges during rapid style changes and potential operational risks. This research aims to identify the causes of low productivity of technical staff performance, design improvement strategies with a focus on productivity improvement, and evaluate the effectiveness of the Failure Mode and Effect Analysis (FMEA) method in improving the technical performance of technical staff. The results of this research show that the FMEA method is effec
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Macek, Daniel, and Stanislav Vitásek. "Risk Analysis in Building Renovations: Strategies for Investors." Buildings 14, no. 7 (2024): 2219. http://dx.doi.org/10.3390/buildings14072219.

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This study explores the diverse array of risks inherent in building renovation investments and proposes effective strategies for risk mitigation tailored to investors. Through a combination of qualitative analysis, expert interviews, and quantitative risk quantification techniques, the research identifies and evaluates key risk factors across regulatory, financial, technical, market, and other domains. Thorough due diligence, proactive stakeholder engagement, and contingency planning emerge as critical components of effective risk management in renovation projects. The study underscores the im
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Taherizadeh, Ali, and Shiva Zamani. "Winner Strategies in a Simulated Stock Market." International Journal of Financial Studies 11, no. 2 (2023): 73. http://dx.doi.org/10.3390/ijfs11020073.

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In this study, we explore the dynamics of the stock market using an agent-based simulation platform. Our approach involves creating a multi-strategy market where each agent considers both fundamental and technical factors when determining their strategy. The agents vary in their approach to these factors and the time interval they use for technical analysis. Our findings indicate that investing heavily in reducing the value–price gap was a successful strategy, even in markets where there were no trading forces to reduce this gap. Furthermore, our results remain consistent across various modifi
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Researcher. "OPTIMIZING DATA TRANSFER COSTS: A TECHNICAL GUIDE." International Journal of Research in Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 2281–87. https://doi.org/10.5281/zenodo.14445835.

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The rapid evolution of cloud computing has made data transfer costs a critical concern for organizations worldwide. This comprehensive article explores cloud data transfer operation's fundamental cost drivers, challenges, and optimization strategies. The article examines bandwidth consumption patterns, data volume management, transfer frequency optimization, and geographic considerations that impact transfer costs. It presents technical strategies for cost reduction, including delta and incremental transfers, cloud architecture optimization, direct transfer paths, and centralized collaboration
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