Python in Finance: Introduction and Basic Strategy
- Authors: Tanu Gupta1, Anupam Singh2, Anuja Gupta3, Somya Goel4
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View Affiliations Hide Affiliations1 Department of ECE, HI Tech Institute of Engineering and Technology, Gzb, UPTU, India 2 Department of ECE, HI-Tech Institute of Engineering and Technology, Gzb, UPTU, India 3 Department of ECE, HI-Tech Institute of Engineering and Technology, Gzb, UPTU, India 4 Department of ECE, HI-Tech Institute of Engineering and Technology, Gzb, UPTU, India
- Source: Demystifying Emerging Trends in Green Technology , pp 386-396
- Publication Date: February 2025
- Language: English
Python in Finance: Introduction and Basic Strategy, Page 1 of 1
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Financial/Trading markets in today's digitalized era are being dominated by share markets, options trading, and the forex market. These markets have a huge underlying potential to generate income, but the analysis of these markets regarding the trading of stocks, foreign currencies, etc., is highly dependent on luck. So, to ease the understanding of markets, Python algorithms can be a game-changer. It tends to be received to classify the specific and wanted data that is being covered up in tremendous information. In this paper, we tried to evolve trading algorithms with the help of abstraction, moving averages, and open-source Python-3 libraries, thus making the evaluation and import of data market information more contextually aware and simpler.
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