The importance of taking profit and actively managing your trade - $MATIC
Love a 5M chart bash - such quick feedback with your trading ideas, & so much further opportunity to continually refine the edge.
Hopefully this helps you.
Please share if it can help someone else too.
Price has run down, and a range has formed.
We've tested the range high with a deviation up to the bearish orderblock, but also swept some highs while we were up there
Retest of the range high occurs, which presents a great shorting opportunity with our fibs (that we've just looked at how to use on the recent vid I shared)
Target of beyond range low (as you do)
Further confluence is presented when we check the VPVR for VAH
The '0' level of our fibs are hit, and we then bring SL to BE and also take some profit (25% of pos size for me in this case)
You also get an opportunity to then also take further profit at the -0.27 fib level before BTC effery kicks in and price runs back up
Price then runs through to a BE SL.
So we've taken profits, managed our trade, protected our capital, & lived to fight another day with some moolah in the back burner.
No one else is going to look after your capital better than you.
Make sure you are aggresive in doing so.
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Here's my 100 weeks of backtested $EURUSD price action from June 15 2020 to 09 May 2022, here's what is covered:
- Occurrence of high & low of the week
- % of high and low of the week per day
- % of Mondays high / low being swept on a given day
Took me a while, hope you enjoy
The high and low of the week
Here we can determine that the low of the week fell 38/100 times on a Mon, while the high of the week was also most likely to form on this day too with 31/100 occurrences
Note that there's during the week, there's more of a spread compared to $BTC
Percentage / Chance wise, you can see that Monday is more likely to be the low of the week by a factor of 5, 2, and 3 compared to a T, W, or Th respectively
Friday is different though.
With the high of the wk, Monday leads, followed by a Thurs, then Friday.
I made a free Price Action course not long ago - I'll share some detailed threads on portions of the course so you don't have to spend hours watching them when trading #Bitcoin & #Altcoins
We'll jump ahead to Module 4 - Ranges & Targets.
Why? Because I loved sharing this one!
What's in a Range?
A range is simply defined by anchoring two points on a chart based on:
A timeframe (daily, weekly, monthly etc)
Market structure
Or a combination of both
The method I use to anchor the range is a Fibonacci Tool, with values set at 1, 0.5, and 0
Range Tool Setup 1/1
1) First Select the 3rd item down on the left hand side menu
Then select "Fib Retracement"
2) Open up the settings of the Fib Retracement Tool, then set up the Fib tool to show the 0, 1, and 0.5 levels
The Trend Continuation fibs - covered in upcoming Module 3
Of course these are originally based on the ICT fibs, but nuanced per the following for #crypto & #bitcoin
- 0.72 entry point
- A negative 0.12 level
- 0.28 level
Why though?
The 0.72 Entry Point:
The reason for this is simple - it's the mid point of the 0.66 and 0.786 levels of the fib, where I've personally found much better entries and setups using this
The negative 0.12 level:
Included in this particular suite of fibs because you're looking for a get in, get out move that simply beats previous market structure.
By entering at the 0.72 level, this -0.12 level yields a 3RR move if the SL is at 1.
I backtested 100 weeks of $BTC #bitcoin price action from June 15 2020 to 09 May 2022, was able to determine the below:
- Occurrence of high & low of the week
- % of high and low of the week per day
- % of Mondays high / low being swept on a given day
8 hrs of research for you:
The high and low of the week
Here we can determine that the low of the week fell 43/100 times on a Mon, while the high of the week was also most likely to form on this day too with 27/100 occurrences
The rest of the days are generally similar, bar Tuesday lows & weekend highs
Percentage / Chance wise, it's obviously a no brainer in the fact that given the sample data of 100 weeks, that the % are simply a given of the numbers above