Perfecting Execution and Trade Management 2 Day Masterclass - The Course Arena
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Perfecting Execution and Trade Management 2 Day Masterclass

Original price was: ₹90,000.Current price is: ₹4,150.

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Perfecting Execution and Trade Management 2 Day Masterclass
This is an eagerly anticpated and requested Seminar by many traders over the years. Kam has finally decided to offer a 2 Masterclass on ways to improve your timing and execution of trades, whilst managing them with lesser risk and higher potential reward.
RECORDINGS NOW AVAILABLE TO PURCHASE!
DAY 1:

Focus is on building Understanding of the Process for better Timing and Execution.
Various methods for execution will be discussed, and you will learn what works best for more volatile markets and what works better for more liquid markets.
How to pick exact prices on a market to read order flow and engage for execution to avoid overtrading and jumping in too early.
Kam will share a clearly defined execution strategy so that you will eliminate bad trades and poor timing, whilst enhancing patience and discipline.
You will learn how to read Order Flow on the Depth Of Market (DOM) Price Ladder.
How to use tools like MarketDelta Footprints (and similar tools on NinjaTrader and Sierra Charts) as well as Jigsaw DOM.

DAY 2:

Kam will show you how to build a plan for various markets to trade around, to set up poetntail trading zones.
Focus will be on US Indexes and Crude Oil for live trades, but examples will be shared on ther markets if time permits.
Kam will talk you through the state of mind and how it shifts from the start of the day to the open and then through the unfolding live auction.
Adapting to live data and making choices on the fly are sometimes required and if required you will see how this is done real-time.
You will see how position size is chosen with a potntial price range for entry, and then a stoptarget placement decided BEFORE trade execution.
Scaling in and out of trades will be shown so that you can see how the concepts you learn on Day 1 are actually applied in real-time.

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