Volume 12 | Issue 1 |

 Abstract

The objective of this research is to analyze the impact of artificial intelligence on algorithmic trading. Given the complexity of modern markets, it is near impossible to isolate the impact of individual market participants due to the countless interactions/trades that occur throughout the market's lifespan. The scope of this paper is to address the new emerging as well as existing techniques of AI in algorithmic trading. This paper tries to understand the impact of AI on algorithmic trading using observations and results from the research conducted. This paper broadly covers the types of trading and advantages of algorithmic trading. It also explains how AI has been implemented in algorithmic trading techniques to enhance the profit making model. In the due course, various AI techniques have been explained which has provided an insight to AI readers about how complex and simple AI techniques have been helpful to predict the financial markets. Quantitative momentum investment strategies were first brought to the forefront in 1994 by Jegadeesh and Titman, who showed the efficacy of relative strength in the United States. A few years later, in 1997, Hsu, Myers, and Baesel conducted a study to test whether a simple moving average strategy would result in abnormal returns after transaction costs [1]. The results of the study, as expected, strongly suggested that the performance of these investment strategies was dependent on the frequency at which the portfolios are rebalanced. Given that moving average rules are trend-following in nature and are best suited for trending markets. These strategies differ greatly from the more traditional ones used by pension funds, in that they typically seek to produce returns that are uncorrelated with the major asset classes, with moderate to high levels of risk[1,2]. With the success of these strategies, a framework for evaluating and comparing quantitative investment strategies is imperative to provide the basis for selecting between them.

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 Keywords

Algorithmic trading, stock trading, cryptocurrencies, artificial intelligence, ethics, automation, trading innovation.

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In order to ensure that medical services are delivered effectively and efficiently and to ensure employee satisfaction, human resource management is essential in healthcare institutions. The purpose of this study is to ascertain how human resources management practices affect healthcare organisations in terms of service quality and patient happiness, after staff satisfaction. The goal of human resource management, or HRM for short, is to optimise employee performance in the workplace. HR is generally focused on processes and policies and is concerned with how people are handled inside organisations. Organisations' human resource departments and divisions are normally in charge of several tasks, such as hiring new employees, providing training and development opportunities, evaluating employee performance, and compensating staff (by overseeing pay and benefit plans, for example). Industrial relations, or the balance of organisational practices with restrictions resulting from collective bargaining and governmental laws, is another area of importance for HR. The human relations movement of the early 20th century gave rise to HR, when scholars started recording methods of generating economic value via the strategic management of labour forces. To create new policies, more research and a renewed emphasis on human resources management in the healthcare industry are required. To improve health care outcomes and access globally, effective human resources management solutions are crucial.

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management, human resources, healthcare organisation, HR Department, Training and Development, Performance Appraisal, And Rewarding

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Venturing into the heart of provincial India, where agribusiness is the backbone of networks, this study delves into the groundbreaking capability of web-based company for advancing and selling country products in the Indian market. It depicts the challenges faced by community leaders, the encouraging stories of growth through online platforms, and the critical role of government initiatives. Discoveries demonstrate the early but major stages in web-based business reception, the problems faced by country leaders, and the favorable impact on jobs and the rural economy. The analysis concludes with insights into the collaborative future of online commercial organizations, government agencies, and homesteads, emphasizing the need for custom fitting systems and phases. This assessment is based on a variety of sources, including government reports, insightful investigations, and authentic anecdotes from country craftsmen.

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E-commerce, Agricultural Sector, Empowerment, Government Initiatives, Challenges, Rural Producers, Digitalization, Online Platforms

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Over the past four years, the GER has been steadily increasing, with a significant increase for both boys and girls. The objectives include to study the current status of Gross Enrolment Rate in Jharkhand at elementary level and study about the programmes run by the different government. The central government has implemented various programmess to enhance school education and these initiatives have not only improve the status of school education but also improved the condition of hunger, promoted social and intellectual exchange, and combat gender stereotypes, ensuring equal access to education for all children. In 2018-19, the GER for boys was 81.3%, while for girls it was 75.2%. In 2021-22, the GER for boys was 89.8%, and for girls it was 86.6%. The gender disparity in GER has narrowed over time, with females showing a slightly higher GER compared to males. In the upper primary level, the GER for boys was 81.3%, while for girls it was 85.2%. In 2021-22, the GER for males was 88.0%, while for females it was 89.8%. The GER in Jharkhand has fluctuated at both primary and higher primary levels.

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Primary level, Upper Primary level & GER

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Creative Commons Attribution 4.0 and The Open Definition

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English is the single most important language, a language for employability. Today's English learning is completely different from traditional teaching. In this paper, the focus is on the various classroom practices and activities used to enhance the quality of English among the students. English for employability focuses on communication skills. The language comes with a complete package of learnability along with refined attitudes which carves a path of progress for students.

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Communication, learnability, employability.

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Women empowerment is an important issue for today's society. The empowerment of women can be defined in several ways. The empowerment includes not only the economically empowered women. The main aim of the women empowerment is to empower women mentally, physically, emotionally so that she can survive in this male dominating society. Today women are facing discrimination at every stage. At home, at working place, at public place everywhere she is suffering from discrimination and violence. In India the socio-economic condition of women is not satisfactory. To avoid this situation not only central government but also state government are running various schemes for the welfare and empowerment of women. The study discusses about the various empowerment schemes for women and their actual status and contribution in the welfare and empowerment of women India.

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Women Empowerment, Discrimination, Socio-Economic, Welfare.

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The internet might have an impact on computers that aren't directly connected to it. With the aid of the Internet of Things, patients who live distant from a healthcare centre are being helped. Researching the present IoT system's problems is essential in order to develop an effective, practical, and scalable solution for improving healthcare. There must be a strong basis for health-care apps to succeed. It has been anticipated that mankind would face increased health care issues in the future with the introduction of COVID 19. Healthcare solutions that are more trustworthy and precise will be needed, along with the capacity to treat health concerns remotely in a highly effective manner. Existing IoT-based studies are being analyzed for their effectiveness and accuracy by researchers doing in-depth analyses. The integration of LSTM-based intelligent approach to IoT system is being proposed as a method to increase the accuracy of the medical prescription and prescribing system. Research is focusing on improving accuracy and performance

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 Keywords

IOT, Health Care, LSTM, Accuracy, Performance.

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Neurological disorder is the speedily spreading disorder in all over the world. Parkinson disease is one of them characterized by rest tremors, stiffness and gait dysfunction postural instability. The prevalence of Parkinson disease according to WHO has doubled in the past 25 years in 2019. 8.5 millions individuals are living with Parkinson disease globally. Disability and death due to Parkinson disease are increasing faster than any other neurological disorder. In Ayurveda classics Kampvaat is the condition which closely resembles with Parkinson disease. According to Acharya Charak, endogenous disease caused by single vaat dosha described in 80 types of Vaat Nanatmaj vikar named as VEPATHU means shaking or trembling. According to Madhav Nidan, tremors in all over body and specific organ due to aggravation of Vaat called Kampvaat. Longer use of modern medicine use in treatment this disease having more side effect like excessive day time sleepiness, hallucination, delusions, confusion etc. Shirodhara is one of the best Panchkarma procedure which act on the cerebral system help in relaxing the nervous system and balancing the Pran vayu around the head. Basti is one of the Panchkarma procedure described as "Ardhachikitsa" by Acharya Charak for all type of Vaat Roga. This paper is being presented to state the effect of combined therapy of Shirodhara and swa anubhoot Tiktak Ksheer Basti in the management of Parkinson Disease w.s.r. to Kampvaat.

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 Keywords

Parkinson disease, Kampvaat, Shirodhara, Swa anubhoot Tiktak ksheer Basti

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