Technical Analysis Trading from an ex-Wall Street Trader
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 745 MB
Duration: 1.5 hours | Genre: eLearning | Language: English
Trading technical analysis tools, patterns and price trends - taught by an ex-Wall Street bank equity trader.

What you'll learn

APPLY a comprehensive structure for technical analysis across different trading securities (stocks, FX, crypto) and durations
Have an ENHANCED understanding of core aspects, definitions and applications of technical analysis and trading tools
DEFINE clearly key technical tools and best use practices for price chart and technical analysis and interpretation
EFFECTIVELY apply different technical analysis to different security price performance and trends
ANTICIPATE key expected outcomes from different price movements by utilizing technical indicators and oscillators
DRAW ON some further resources and demonstrations to enhance their confidence in using fundamental technical analysis tools

Requirements

An interest in securities trading i.e. stocks, FX, crypto, options
An awareness and appreciation of using and reviewing security price charts

Description

This course is a guide and review of the main technical analysis tools and price patterns for traders of any level. Whether you are beginning a day trading venture or have years of trading experience, the technical trading techniques provided in this course will enhance your knowledge of key patterns and will aid your timing and identification skills of profitable trading opportunities.

Its taught by an experienced trader, who worked as an equity trader at one of Wall Street's largest trading firms and employed the techniques discussed here successfully over multiple years.

Who this course is for:

Beginner trader interested in using technical analysis as a discipline in guiding trading decisions
Experienced trader looking to improve trading performance by revisiting key technical tools and their applications
Non-traders interested in studying technical analysis and investigating their effectiveness in driving trading outcomes



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