Gann Mid Point Theory : Simplified Gann Mid Point Theory : Simplified
#4 - Gann Series

Gann Mid Point Theory : Simplified

    • 8,49 €
    • 8,49 €

Publisher Description

Unlock success in intraday small-cap trading with "GANN MIDPOINT THEORY: SIMPLIFIED". In this easy-to-understand ebook, Sankar Srinivasan reveals the secrets of William D. Gann's mathematical methods, showing you how they apply to today's online trading. With clear explanations and real-world examples, Sankar breaks down Gann's complex theories, making them simple for everyone, even beginners.

This book is a must-have for traders looking to boost profits in small-cap intraday trading, especially for stocks priced between 1 and 2 digits. Sankar, with over 15 years of experience in technical analysis and online trading, shares his expert strategies and insights. Plus, when you buy this ebook, you get a special bonus: an Excel sheet with ready-made calculations for quick trading decisions. Just email Sankar with your purchase proof to get this powerful tool and elevate your trading skills.

To help you master the concepts, Sankar recommends practicing paper trading for a month. This hands-on approach will deepen your understanding and prepare you for real trading. About the author: Sankar Srinivasan, from Madurai, Tamil Nadu, India, is a Certified Market Professional with the National Stock Exchange of India. He has extensive experience in technical analysis and online trading, and he teaches GANN Theory and Technical Analysis to online trading enthusiasts.

If you're ready to master Gann's midpoint theory and improve your small-cap trading, "GANN MIDPOINT THEORY: SIMPLIFIED" is your go-to guide. Get the knowledge and tools you need to succeed in the fast-paced world of online trading. Email the author with your purchase proof to receive the Excel calculator for live trading calculations.

GENRE
Business & Personal Finance
RELEASED
2015
29 November
LANGUAGE
EN
English
LENGTH
31
Pages
PUBLISHER
Sankar Srinivasan
PROVIDER INFO
Draft2Digital, LLC
SIZE
307.9
KB
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