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High-Profit IPO Strategies: Finding Breakout IPOs for Investors and Traders

Contributor(s): Taulli, Tom (Author), Coon, Michael (Read by)

ISBN: 9798200552054

Publisher: Ascent Audio

$45.95
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Pub Date: July 20, 2020

Lexile Code: 0000

Features: Unabridged

Target Age Group: NA to NA

Physical Info: 0.00" H x 0.00" L x 0.00" W ( 0.00 lbs) pages

BISAC Categories:

Business & Economics | Finance | General

Descriptions, Reviews, etc.

Description: Initial Public Offerings provide investors and traders with opportunities for both short-term and long-term profits. IPOs typically ignite a great deal of interest because they make new, highly successful young companies available to investors for the first time. In Money Making IPO Strategies, IPO expert Tom Taulli explains all facets of IPO investing and trading, with a particular emphasis on the new industries that are fueling the next generation of IPOs: social networking, cloud computing, and mobile technology. In the past year, IPOs of Groupon, LinkedIn, and Zillow provided enormous opportunities for nimble traders as prices fluctuated widely for several months following the offering. A revision of his previous book, Investing in IPOs, this new edition will include more sophisticated trading strategies; more detail on financial statement analysis; and new chapters on secondary IPO markets, reverse mergers, and master limited partnerships. The book discusses the intricacies of the IPO process and provide in-depth analysis of major industries generating IPOs: technology, biotechnology, retail, and finance. Comprehensive in scope, Money Making IPO Strategies will provide investors and traders with actionable information to profit in this lucrative sector of the financial market.

Brief description: Tom Taulli is a consultant to various companies, such as Aisera, SnapLogic, and Tad Health. He has written several books, including AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment. Tom has also taught IT courses for UCLA, PluralSight, and O'Reilly Media. For these, he has provided lessons in using Python to create deep learning and machine learning models. He has also taught on topics like NLP (Natural Language Processing).

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