Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/26723
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dc.contributor.authorChauhan, Muskaan-
dc.contributor.authorChauhan, Vaibhav-
dc.date.accessioned2023-10-03T08:41:59Z-
dc.date.available2023-10-03T08:41:59Z-
dc.date.issued2023-08-09-
dc.identifier.urihttp://hdl.handle.net/11718/26723-
dc.description.abstractA trader buys and sells a financial instrument as part of a sort of speculation involving securities. There are two types of trading, depending on the amount of time: short-term and long-term trading. Throughout the duration of this study, we will concentrate mostly on short-term trades, as they are most influenced by news and external industry factors. Short-term trading refers to trading tactics in the stock market or futures market where the time between entry and exit is a few days to several weeks. Day trading is a very short-term trading strategy in which all positions opened during the trading day are closed on the same day. Due to the often turbulent nature of the stock market, short-term investing can be dangerous and unexpected. Within the span of a day and a week, numerous events can have a significant impact on the price of a stock. The stock price can be affected positively or negatively by company news, consumer reports, and consumer opinions. These demand continuous study, knowledge of market trends and public opinion, and the ability to identify the greatest chances. A stock with low volume can be moved up or down by buying or selling activity. Through transaction volume, major mutual funds and hedge funds can decide the pricing of equities, but small investors typically have minimal impact. Most short-term trading strategies rely on technical analysis, which is a method of forecasting market price movements by studying historical chart patterns and formations. Technical analysis can be performed in a variety of ways, but most traders will focus on using historical price charts overlaid with technical indicators or oscillators. The goal of technical analysis is to identify recognizable patterns that will assist traders in determining the best time and price point to enter and exit the market. As seen in the case of GameStop and Volkswagen, technical analysis is not always the key to success in the stock market. The action of traders is not always driven by perfect logic and there is a human and emotional element attached to these. That is where sentiment analysis comes into play, to give a different viewpoint when analyzing stock performance.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.subjectFinancial instrumenten_US
dc.subjectTradingen_US
dc.subjectStock marketen_US
dc.subjectGameStopen_US
dc.subjectVolkswagenen_US
dc.titleInvestment recommendation dashboard using data driven techniques by assessing past performance of stocks and sentiment analysis of social forumsen_US
dc.typeStudent Projecten_US
Appears in Collections:Student Projects

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