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Mindo Profile picture
@Mindset_BTC
Oct 12, 2021 • 6 tweets • 4 min read • Read on X
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Time for a quick PA $BTC scalping tutorial

Hopefully this can help you guys out a bit when trading #Bitcoin or any other alt like $ETH, $SOL, $ADA, $LUNA, $FTT etc

Let's start with a blank canvas.

Thanks @Delta_Exchange also for your ongoing support guys
Setting up our range fibs, we can utilise some market structure that is now established
You can see that price is drawn to where the liquidity lies.

Here you can see that price consumes the sell side liquidity just below the range low, and then is drawn up to the buy side liquidity at the range high.
Price retests the order block above range high, this time meeting a relatively equal high of the previous tap, and then as @RektProof loves, a short set up is presented

Depends on your appetite, but aiming for mid range as a TP is always a good thing, with SL to BE in tight TF's
Price then falls right into ICT's old OTE (Optimal Trade Entry) which is a bullish sign. If you're cautious, you could wait for a reclaim of the 0.5 mark before entry into OTE
Let's see what happens - do we hit the range high after and then tap that last lot of liquidity?

Or take a run back to range low, and then regroup from there.

Either way, we've got a bit of a plan right?

Thanks for reading guys

Say G'day to the oldies for me

🤝

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More from @Mindset_BTC

Mindo Profile picture
Nov 15, 2022
Nearly a year ago, I shared Price Action Principles: Trading a Range - a free 7 part course that gives a mild intro into SMC & other concepts.

This thread is about Volume Profile from Module 3 (course is in the last tweet) with:

- VAH & VAL
- POC's
- FRVP Tool

Enjoy!
What is Value Area Trading?

We're using @tradingview's tools, so let's use their terminology:

"Volume Profile is an advanced charting study that displays trading activity over a specified time period at specified price levels."
In my own words:

In a given or visible price range, the Value Area can be defined as where 70% of the volume of price was transacted in said given or visible range

This range has a Value Area High, Value Area Low, Point of Control, & High & Low Value Nodes
Read 17 tweets
Mindo Profile picture
Oct 2, 2022
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.
Read 13 tweets
Mindo Profile picture
Aug 31, 2022
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
Read 18 tweets
Mindo Profile picture
Aug 20, 2022
I've got a surprise for you with another strategy release on @tradingview for #Bitcoin & #Altcoins

bit.ly/Mindjacked_Sca…

- SRSI & Optional EMA's
- Different SRSI conditions for signal
- Session Filter (Set to your waking times)
- 3 Commas Integration
- TP / SL %'s

Read on:
SL / TP %

You can set the strategy to the SL & TP levels that you'd like in terms of % (make sure youamend the pos size though to suit your SL %)

The general strategy is based on Stochastic RSI & EMA's, but you can turn off the EMA's as needed, & just run with SRSI.
There's also a neat funcion called Use Exit Condition

If you set the SRSI to 80 for overbought, & 20 for oversold & you enter a short at 80, there will be a signal to close at the opposing metric.

In this case, it would be the 20 level at the SRSI condition you set for a long
Read 10 tweets
Mindo Profile picture
Aug 16, 2022
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? Image
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 Image
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.

It just keeps it simple Image
Read 7 tweets
Mindo Profile picture
Aug 13, 2022
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
Read 12 tweets

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