Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
22.09.2026
Verlag
WileySeitenzahl
208
Sprache
Englisch
ISBN
978-1-394-44181-5
The trusted calendar reference for stock traders, now in its 60th anniversary edition
Stock Trader's Almanac 2027, now in its 60th anniversary edition, delivers the historical cycles, seasonal patterns, and market trends that active traders and investors rely on to make informed decisions. Written by Jeffrey A. Hirsch, Editor-in-Chief of the Stock Trader's Almanac and a 35-year Wall Street veteran, with co-author Christopher Mistal, this edition continues the franchise founded by Yale Hirsch in 1966 - six decades of proprietary market research in a single volume.
Organized in a calendar format with monthly and daily reminders, the Almanac features proprietary strategies built on decades of carefully collected data. These include the "Best Six Months Switching Strategy," the "January Barometer," the "Santa Claus Rally," and the four-year "Presidential Election Cycle." Each strategy highlights upcoming opportunities and seasonal dangers throughout the trading year.
Readers will also find:
- Proven proprietary strategies based on historical US stock market data going back over a century collected since 1966
- Monthly and daily calendar reminders identifying seasonal opportunities to pursue and specific dangers to avoid
- Analysis of the four-year Presidential Election Cycle and its documented effects on stock market performance, with focused coverage on the "Sweet Spot" of the 4-year cycle from Q4 midterm to Q2 pre-election year
- Top sector seasonalities and recurring patterns that help traders time entries and exits more effectively
- Data-driven insights into recurring market cycles and trends used by top money managers for decades
A trusted resource for active stock investors, traders, financial advisors, brokers, and wealth managers, Stock Trader's Almanac 2027 provides the historical market data and proprietary seasonal strategies that retail and institutional professionals need to identify recurring patterns and improve trading decisions.
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