Könyv Higher Probability Commodity Trading CARLEY GARNER

Higher Probability Commodity Trading

A Comprehensive Guide to Commodity Market Analysis, Strategy Development, and Risk Management Techniques Aimed at Favorably Shifting the Odds of Success

Szerző: CARLEY GARNER
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
4 987 Ft
Winner of a TraderPlanet STARR award for Best Trading Book of 2016!Higher Probability Commodity Trad...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2020
oldal
280
EAN
9781948018975
ISBN
1948018977
Enbook ID
33376515
Súly
657
Méretek
277 x 215 x 20

Teljes leírás

Winner of a TraderPlanet STARR award for Best Trading Book of 2016!

Higher Probability Commodity Trading takes readers on an unprecedented journey through the treacherous commodity markets; shedding light on topics rarely discussed in trading literature from a unique perspective, with the intention of increasing the odds of success for market participants.

In its quest to guide traders through the process of commodity market analysis, strategy development, and risk management, Higher Probability Commodity Trading discusses several alternative market concepts and unconventional views such as option selling tactics, hedging futures positions with options, and combining the practice of fundamental, technical, seasonal, and sentiment analysis to gauge market price changes.

    Carley Garner, is a frequent contributor of commodity market analysis to CNBC’s Mad Money TV show hosted by Jim Cramer. She has also been a futures and options broker, where for over a decade she has had a front row seat to the victories and defeats the commodity markets deal to traders.  

    Garner has a knack for portraying complex commodity trading concepts, in an easy-to-read and entertaining format. Readers of Higher Probability Commodity Trading are sure to walk away with a better understanding of the futures and options market, but more importantly with the benefit of years of market lessons learned without the expensive lessons.

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