I wanted to share this with you to show how a narrative can be built.
You know the drill, you can use this across #cryptocurrencies or any market, from $BTC, $ETH, $SOL $OMG $DOGE, hell, even $SHIB (shameless tags!)
Let's take a look:
The first key item to be drawn to here is the double bottom at range low.
Traders place their stops just below these levels, assuming that price will rise, which creates a liquidity pool which is subsequently taken out for a move upwards.
We can then see just above mid range, that a Fair Value Gap is apparent, even though price has traded close to filling this area.
Similar to the double bottom, but inversley, short sellers who entered at these tops would have placed their stops in the form of buyside liquidity above this area
With the FVG and also buyside liquidity resting above the double top, we can expect price to rally up to these levels to fill the gap, and to also take the short seller buyside liquidity stops.
You'll notice an MSB into fibs makes the way for the move up
And literally as I'm writing this last tweet, price has ran the double top for liquidity.
Simple Price Action concepts that can be used on any timeframe by anyone at all.
No indicators, no mess; just a simple mark up and set up
Thanks for stopping by - hopefully you've found some insightful info from my ongoing ramblings.
Thanks as always to @Delta_Exchange for helping me bring this to you as well
Please, pass this on to someone if it helps, and say hi to your mum for me!
Cheers - stay hungry🤝
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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