Price: $4.99
(as of Dec 27,2024 00:07:34 UTC – Details)
ASIN : B0DFVJ6XXD
Publication date : August 31, 2024
Language : English
File size : 3988 KB
Text-to-Speech : Not enabled
Enhanced typesetting : Not Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Format : Print Replica
Uncovering Fraud, Profitable Shorting: AI Techniques for Spotting Red Flags in Public Companies (The Artificial Edge: Quantitative Trading Strategies with Python)
In the world of finance, uncovering fraud and spotting red flags in public companies can be a lucrative endeavor for short sellers. With the rise of artificial intelligence and machine learning techniques, traders now have powerful tools at their disposal to identify potential fraudulent activities and make profitable shorting decisions.
In the book “The Artificial Edge: Quantitative Trading Strategies with Python,” readers will learn how to leverage AI techniques to analyze financial data and uncover potential fraud in public companies. From detecting unusual trading patterns to identifying discrepancies in financial statements, this comprehensive guide provides a step-by-step approach to using Python for quantitative trading strategies.
By incorporating AI techniques into their trading strategies, investors can gain a competitive edge in the market and capitalize on opportunities to profit from shorting public companies with fraudulent practices. Whether you’re a seasoned trader or a beginner looking to enhance your skills, “The Artificial Edge” offers valuable insights and practical tips for navigating the complex world of quantitative trading.
Don’t miss out on this essential resource for uncovering fraud and making profitable shorting decisions in the stock market. Order your copy of “The Artificial Edge: Quantitative Trading Strategies with Python” today and take your trading to the next level.
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