Zeussy Profile picture
Nov 29, 2023 18 tweets 5 min read Read on X
In this thread, @Richthebull008 and I will take you with us into a deep dive of undeniable proof of algorithmic price delivery by showing the relationship between Time and ICT's PD arrays.

Buckle up.Image
Let’s begin with a quote from @I_Am_The_ICT

“My PD arrays are algorithmic signatures, but they are not really what is going on behind these markets.”

What could possibly be going on then? Image
A rather common saying within the ICT community nowadays is that PD arrays which form during ‘Killzones’ hold significance. We would like to expand on this understanding and offer way more precision.

Introducing TAPDA theory: ‘Time and PD Arrays Theory.’
The foundation of TAPDA is that PD arrays by themselves are not significant, but the timings at which they forms are.
If a PD array forms at a specific Time of Day and price comes back to that PD array at the same Time of Day, but at a later point in Time, we anticipate that PD array to act as support or resistance on price. If it does not, it is the first sign of a CSD.
Let’s look at a few examples.

For our examples, we have chosen to put emphasis on the 90 minute candles for $ES. Pay close attention to how price reacts to the previous X time’s price range at exactly the same time, but at another day... Image
3PM, 3AM. Image
04:30AM, 04:30AM. Image
07:30AM, 07:30AM. Image
3PM, 3AM Image
9AM, 9AM. Image
12PM, 12PM. Image
12PM, 12PM. Image
3PM, 3PM Image
12PM, 12PM. Image
12PM, 12PM. Image
We have come to the end of this thread. Instead of just ending it here, we have released the recording of a TOTK livestream in which our findings with regards to TAPDA theory where shared for the first time.

You can watch it here ⬇️

For some reason Twitter removed the stream link from the previous Tweet so here it is again:

• • •

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More from @zeussy_mmxm

Oct 2, 2024
In this thread, we will take a deep dive into Time Cycles & Market Swings.

We will discuss everything you need to know to be efficient in the markets based on Time & Price.

Let's begin!Image
There are so many opportunities when you use Time Cycles to frame High Probability Setups.

If you understand this, you would no longer fear missing a move.

This thread will change your perspective on liquidity completely...
The Highest Probability Trade Setups contain the following:
- Very specific Time cycle
- Very specific Signatures In Price Action

When combining the two, THIS is where the precision comes in.Image
Read 16 tweets
Mar 6, 2024
In this thread, I will explain how to Measure Orderflow By Looking At Time Cycles.

Are you ready?Image
Let's first define Time Cycles.

- Previous Weeks
- Previous Days
- Previous Sessions
- Previous 90 Minute Cycles

In this thread, we will focus on the 90M cycles, but you can apply this theory to any Time Cycle since it’s all fractal.

90M Cycles ⬇️

We know that during the current Time Cycle, IPDA refers to the Previous Cycle’s High or Low. How price reacts of these Price Levels is crucial for Measuring Orderflow:

Continuations:

- If Price Is Bullish, Price Should Find Support At The Previous Cycle’s High After Breaking Above it.

- If Price Is Bearish, Price Should Find Resistance At The Previous Cycle’s Low After Breaking Below It.

Reversals:

- If Price Was Bullish, But Does Not Find Support At The Previous Cycle’s High After Breaking Above It, It’s The First Warning Sign Of Orderflow Potentially Changing.

-If Price Was Bearish, But Does Not Find Resistance At The Previous Cycle’s Low After Breaking Below It, It’s The First Warning Sign Of Orderflow Potentially Changing.
Read 13 tweets
Jan 13, 2024
Introducing ICT his 90 minute cycles and how their respective Highs/Lows function as Draws On Liquidity (DOL) and Points Of Interests (POI's).

👇 This is a follow-up thread to the previous ones.Image
These cycles and their application were first introduced in the Time PDF, which was released in March 2023, for The Ones That Know. This is their first appearance publicly.

Let’s dive in! Image
Read 14 tweets
Sep 15, 2023
Explaining PM session Orderflow based on real trade executions 👽

The past two days, PM has been very clean. Let me show you why.

{ Open Thread ⬇️ }
Image
Let's begin with the framework that I executed within on both days.

This message was sent in TOTK on the 14th of September during the London session. Image
14.9.2023 PM MMBM

x.com/zeussy_mmxm/st…
Read 8 tweets
Jul 10, 2023
Introducing Part Two of the @I_Am_The_ICT Execution Time Data Thread!

Following the overwhelming response to the previous thread, I am thrilled to unveil even more of my research.

Join me as we embark on a deeper exploration, unraveling the secrets of timing the markets. https://t.co/c9OHfYeMKgtwitter.com/i/web/status/1…
It is imperative to read the previous thread before diving into this one.

Read it here:
Disclaimer

Every effort has been made to collect the execution data in an objective manner. However, it is important to acknowledge that individual perspectives can influence the understanding and application of this information. Therefore it is your responsibility to DYOR.
Read 24 tweets
Jul 6, 2023
Unveiling the Secrets of @I_Am_The_ICT His Execution Times 🕒

Here is my analysis of the execution time data collected from every single one of ICT his AM and PM session execution videos, shared on his public Twitter account, @I_Am_The_ICT, since June 2022.

Are you ready? https://t.co/E94tk71kGutwitter.com/i/web/status/1…
Disclaimer
Every effort has been made to collect the execution data in an objective manner. However, it is important to acknowledge that individual perspectives can influence the understanding and application of this information. Therefore it is your responsibility to DYOR.
Session periods for analysis:

AM: 08:30-12:00
Lunch: 12:00-13:00
PM: 13:00-16:00
Read 17 tweets

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