Stock Trader's Almanac 2023 (e-bog) af Hirsch, Jeffrey A.
Hirsch, Jeffrey A. (forfatter)

Stock Trader's Almanac 2023 e-bog

359,43 DKK (inkl. moms 449,29 DKK)
Keep your finger on the pulse of the stock market with the latest data and advice from the gold standard in trading resources In the 2023 Edition of Stock Trader's Almanac, celebrated analyst and trader Jeffrey A. Hirsch delivers the latest installment of the groundbreaking money-making strategy guide that has been guiding successful traders since 1967. The first trading handbook to recognize i...
E-bog 359,43 DKK
Forfattere Hirsch, Jeffrey A. (forfatter)
Forlag Wiley
Udgivet 29 november 2022
Genrer Finance and accounting
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781119986867
Keep your finger on the pulse of the stock market with the latest data and advice from the gold standard in trading resources In the 2023 Edition of Stock Trader's Almanac, celebrated analyst and trader Jeffrey A. Hirsch delivers the latest installment of the groundbreaking money-making strategy guide that has been guiding successful traders since 1967. The first trading handbook to recognize important phenomena like the "e;January Barometer"e; and the "e;Santa Claus Rally,"e; Stock Trader's Almanac has also popularized crucial timing strategies, including the four-year Presidential Election Cycle and the Best Six Months Switching Strategy. In this latest edition, the author shows you how to maximize return and minimize risk using the cycles, trends, and patterns he uses to generate market-leading profits. You'll find: Month-by-month strategies to master the market and deliver reliable, outsized investment returns Explanations of seasonal trends that reappear year after year Ways to take advantage of cyclical, holiday patterns with real impact on your bottom-line A can't-miss resource for day traders, market enthusiasts, and retail investors, Stock Trader's Almanac 2023 continues the book's celebrated tradition of timely stock market advice combined with tried-and-true guidance based on extensive historical data.