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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM30572
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Algorithmic trading, often referred to as algo-trading, is a game-changer in the financial industry, revolutionizing the way trading is con- ducted. By harnessing the power of advanced math- ematical algorithms and computational capabilities, algo-trading enables traders to make split-second decisions, execute trades, and manage portfolios with unparalleled speed and precision. In this land- scape of digital finance, Angle One API emerges as a pivotal tool, empowering developers and traders to engage in algorithmic trading with utmost efficiency and sophistication.
KEYWORDS
Publication Date
12/31/45393
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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