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Dhruvil Mehta
Dhruvil Mehta
Proficient Financial Professional Passionate About Hedge Funds, Portfolio Management, and Entrepreneurship"
Published Apr 8, 2024
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Rise of the Machines
Algorithmic trading uses computer programs to make trades based on specific rules and analysis of big data. AI takes it further to by using smart technology to learn from market pattern and make even better decision. This helps trader to make smarter choice and potentially earn more money in the stock market.
A catalyst for change or a potential source of problems?
Proponents of AI in trading highlights its potential benefits
Yet, worries persist regarding potential drawbacks:
The Future of AI and Trading :
The upcoming integration of AI in algorithmic trading is likely to proceed cautiously and grappling with the complexity of supervising these systems, while investors are calling for greater openness.
The influence of AI on algorithmic trading cannot be denied. Whether it transforms the markets positively or introduces unexpected risks is yet to be determined. Nevertheless, through encouraging open communication, implementing strong regulation, and promoting responsible advancement, we can utilize the potential of AI to establish a financial system that is more effective, secure, and accessible.
AI in Finance
AI in Finance
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Vlad Spiridon
CFO | Head Finance | Head FP&A | Accelerating Business Innovation | Shaping the Future of Finance | Servant Leader | Drawing on International Finance Expertise to Drive Success
4mo
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It's certainly a lot to think about. The relentless march of high-frequency trading algorithms threatens to unleash chaos, amplifying market fluctuations and triggering sudden crashes.
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