Showing posts with label Accumulation. Show all posts
Showing posts with label Accumulation. Show all posts

Saturday, September 14, 2024

Price Action Patterns & Entries at High and Low of the Day | Cameron Benson

Our focus is on price action trading at key levels: daily high and low, and the previous day's extremes. We examine how price reaches these levels — through Stair-Stepping or Ramping — and its subsequent behavior. The price action patterns include M's, W's, Double Tops/Bottoms, and Pin Hammers at daily highs and lows. 
 
 Stair-Stepping and M Patterns: These indicate potential reversals at daily highs or lows, 
with detailed entries and exits often managed through lower time frames.

Ramping is characterized by parabolic price movements and often leads to swift reversals. Observing tight candle patterns with minimal overlap helps identify strong trends and potential breakouts. We also look for specific patterns like Stair-Stepping and Three Pushes, with Peak Formations signaling possible reversals.

 
 Ramping Behavior: Recognized by tight, parabolic moves followed by rapid reversals. 
The ramp into extremes usually signals significant price shifts.


The following 5 minute charts of the NASDAQ are from last week
(September  9-13, 2024). They show Entry and Exit Strategies, using Pin Hammers and Engulfments for Entries, and managing stops based on price action, with adjustments for larger, more volatile bars.

Monday, September  9 (Day 1 of 3 Day Cycle):
 
 Identified an M pattern at the high of the day with a pin hammer and engulfment, suggesting a strong short entry.

Tuesday, September  10 (Day 2):

 
Despite a promising setup, a large entry bar resulted in a stop-out. 
Emphasis on avoiding large entry bars and managing risk.
 
Wednesday, September 11 (Day 3/1)
 
 Similar to previous days with M patterns and engulfments, also highlighting entry points and risk management.

Thursday (Day 2) and Friday (Day 3), September 12-13:
 
 Charts show patterns like descending triangles and W formations, 
with a focus on understanding price behavior relative to session timings.
 
Successful short-term trading relies on recognizing and acting upon the above presented price action patterns, managing entries and exits based on contextual behavior, and adapting strategies according to the specific market conditions within the 3 Day Cycle.
 

Sunday, June 9, 2024

An Outside Look at Inside Days | Larry Williams

First, lets define what constitutes an inside day. An Inside Day is exactly the opposite of an Outside Day. That is, today’s high is less than yesterday’s high and today’s low is greater than yesterday’s low. Hence the terminology inside day, as all of today’s price range or trading activity took place inside of yesterday’s range. An inside day is usually thought to be an indication of congestion. A price could not exceed the previous day on the upside nor could it break below the previous day’s low on the downside.

 » Inside Days are one of the most reliable forecasting patterns to occur in the marketplace. «
 
Chartists and authors have not paid very much attention to the inside days over the years. They have made note of them, but this is the first time, to my knowledge, that anyone has made a serious study of the impact of inside days. And, wouldn’t you just know it … inside days are one of the most reliable forecasting patterns to occur in the marketplace!

  » In a study of nine major commodities covering 50,692 trading sessions, I noted 3,892 inside days,
suggesting we will see these days appear about 7.6 percent of the time. «
Larry Williams, 1998.

There does seem to be some validity to this. The following chart shows what happens when we have an inside day with a down-close while prices are lower than they were 10 days ago. In the Standard and Poor’s, 71% of the time you were higher the next day. This may not even be as significant as the fact that 71% of the time you were higher 20 days after this occurrence. In the Value Line, price is higher 50% of the time after the occurrence, and in Treasury Bonds it’s higher 75% of the time. The pattern in Silver was not nearly as bullish, which surprises me because I had used this trading technique in Silver with some success … which just goes to show you! In Silver, on 36% of the time you were higher 20 days following the occurrence of the pattern. Soybeans were higher 57% of the time, Bellies 50% of the time and the Swiss Franc, where so far we have not found a pattern that forces prices higher, you were up only 22% of the time.

'Inside Days in the S&P 500' - Toby Crabel, 1990.

For a moment though, let’s take a look at just the occurrence of an inside day. What happens when we simply have an inside day with a down-close? Does that, on its own merit, forecast any significant market activity? The results are on the next few pages [of 'The Future Millionaire's Confidential Trading Course']. What can you find?

Then there’s the other side of this coin. What happens if we have an inside day with an up-close? Does this forecast positive action? It appears that it does to some extent. Study the tables for yourself. I have gone to the computer to give you the results for almost all possible configurations of the inside days. While, quite frankly, much of the data suggests random-gibberish-behavior, others are relationships that you can find and successfully trade with. What you need to focus on here is not that the patterns will always work for you, but that patterns, like methods, systems and tools, will give you the much needed odds that lead to successful speculation.
 
I have not exhausted all possible ways of looking at inside days with down-closes, though I have looked at the majority of the relationships one can study. There are others. As an example, what happens if the prices are higher, or if prices are lower following an inside day five days later. Does that mean that the down trend will continue? One could also ask the questions about an outside day following an inside day. Is this a particularly bullish pattern? (It is.) As you can see, your opportunity for research here is unlimited. If you have a computer, some data, and a desire to study the markets, here is fertile ground for you to come up with your own great ideas.

Saturday, January 13, 2024

The Quarterly Theory | Daye

In March 2023 Daye, a young ICT trader from the US, took the trading world by storm with his Quarterly Theory (not to be confused with the Quarters Theory), a concept he derived from Michael Huddleston's ICT mentorships. Within weeks Daye's Youtube Channel with just one video in which he briefly outlined his theory exploded to 16,000 subscribers: "Time must be divided into quarters for a proper interpretation of market cycles."  
 
 

The idea is to split year, month, week, day and session into quarters at specific times which lead to ICT's Power of 3 (Accumulation-Manipulation-Distribution) cycles within those quarters. They present in one of these two forms:

Q1. (A)ccumulation - Consolidation
Q2. (M)anipulation - Judas Swing
Q3. (D)istribution - Low Resistance Liquidity Run
Q4. (X) - Continuation or Reversal of previous quarter

(OR)

Q1. (X) - Continuation or Reversal of previous quarter
Q2. (A)ccumulation - Consolidation
Q3. (M)anipulation - Judas Swing
Q4. (D)istribution - Low Resistance Liquidity Run
 
 
Blending the Quarterly Theory and basic ICT concepts leads to enhanced precision. Understanding Quarterly Theory allows to be flexible. It fits in with any style of trading, as it is universal to all time-frames. The Quarterly Theory removes ambiguity, as it gives specific time-based reference points to look for when entering trades. Before being able to apply this theory to trading, one must first understand that time is fractal:

Yearly Quarters = 4 quarters of three months each.
Monthly Quarters = 4 quarters of one week each.
Weekly Quarters = 4 quarters of one day each (Monday - Thursday). Friday has its own specific function.
Daily Quarters = 4 quarters of 6 hours each = 4 trading sessions of a trading day.
Sessions Quarters =  4 quarters of 90 minutes each.
90 Minute Quarters =  4 quarters of 22.5 minutes each.
 
Yearly Cycle: Analogously to financial quarters, the year is divided in four sections of three months each:
 
Q1 - January, February, March
Q2 - April, May, June (True Open, April Open)
Q3 - July, August, September
Q4 - October, November, December
 

Monthly Cycle: Considering that we have four weeks in a month, we start the cycle on the first month’s Monday (regardless of the calendar Day):
 
Q1 - Week 1, first Monday of the month
Q2 - Week 2, second Monday of the month (True Open, Daily Candle Open Price)
Q3 - Week 3, third Monday of the month
Q4 - Week 4, fourth Monday of the month
 
 
 
Weekly Cycle: Daye determined that although the trading week is composed by 5 trading days, we should ignore Friday, and the small portion of Sunday’s price action:
 
Q1 - Monday
Q2 - Tuesday (True Open, Daily Candle Open Price)
Q3 - Wednesday
Q4 - Thursday
 

Daily Cycle: The Day can be broken down into 6 hour quarters. These times roughly define the sessions of the trading day, reinforcing the theory’s validity:
 
Q1 - 18:00 - 00:00 Asia
Q2 - 00:00 - 06:00 London (True Open)
Q3 - 06:00 - 12:00 NY AM
Q4 - 12:00 - 18:00 NY PM
 

6 Hour Quarters / Sessions divided into four sections of 90 minutes each  (EST/EDT):
 
Asian Session
Q1 - 18:00 - 19:30
Q2 - 19:30 - 21:00 (True Open)
Q3 - 21:00 - 22:30
Q4 - 22:30 - 00:00
 London Session
Q1 - 00:00 - 01:30
Q2 - 01:30 - 03:00 (True Open)
Q3 - 03:00 - 04:30
Q4 - 04:30 - 06:00
NY AM Session 
Q1 - 06:00 - 07:30
Q2 - 07:30 - 09:00 (True Open)
Q3 - 09:00 - 10:30
Q4 - 10:30 - 12:00
NY PM Session 
Q1 - 12:00 - 13:30
Q2 - 13:30 - 15:00 (True Open)
Q3 - 15:00 - 16:30
Q4 - 16:30 - 18:00
 

Micro Cycles: Dividing the 90 Minute Cycle yields 22.5 Minute Quarters, also known as Micro Sessions or Micro Quarters:
 
Asian Session
Q1/1 18:00:00 - 18:22:30
Q2     18:22:30 - 18:45:00
Q3     18:45:00 - 19:07:30
Q4     19:07:30 - 19:30:00
Q2/1 19:30:00 - 19:52:30 (True Session Open)
Q2/2 19:52:30 - 20:15:00
Q2/3 20:15:00 - 20:37:30
Q2/4 20:37:30 - 21:00:00
Q3/1 21:00:00 - 21:23:30
etc.    21:23:30 - 21:45:00
London Session
00:00:00 - 00:22:30  (True Daily Open)
00:22:30 - 00:45:00
00:45:00 - 01:07:30
01:07:30 - 01:30:00
01:30:00 - 01:52:30  (True Session Open)
01:52:30 - 02:15:00
02:15:00 - 02:37:30
02:37:30 - 03:00:00
03:00:00 - 03:22:30
03:22:30 - 03:45:00
03:45:00 - 04:07:30
04:07:30 - 04:30:00
04:30:00 - 04:52:30
04:52:30 - 05:15:00
05:15:00 - 05:37:30
05:37:30 - 06:00:00
New York AM Session
06:00:00 - 06:22:30
06:22:30 - 06:45:00
06:45:00 - 07:07:30
07:07:30 - 07:30:00
07:30:00 - 07:52:30  (True Session Open)
07:52:30 - 08:15:00
08:15:00 - 08:37:30
08:37:30 - 09:00:00
09:00:00 - 09:22:30
09:22:30 - 09:45:00
09:45:00 - 10:07:30
10:07:30 - 10:30:00
10:30:00 - 10:52:30
10:52:30 - 11:15:00
11:15:00 - 11:37:30
11:37:30 - 12:00:00
New York PM Session
12:00:00 - 12:22:30
12:22:30 - 12:45:00
12:45:00 - 13:07:30
13:07:30 - 13:30:00
13:30:00 - 13:52:30
  (True Session Open)
13:52:30 - 14:15:00
14:15:00 - 14:37:30
14:37:30 - 15:00:00
15:00:00 - 15:22:30
15:22:30 - 15:45:00
15:45:00 - 15:37:30
15:37:30 - 16:00:00
16:00:00 - 16:22:30
16:22:30 - 16:45:00
16:45:00 - 17:07:30
17:07:30 - 18:00:00
 

The Monthly Cycle is comprised of four quarters, one week each. Start counting the quarters from the first full week, meaning if the first week relating to the traditional month is a partial week, it is omitted and viewed as distortion. The first full week of the month is the first quarter, the second week is the second quarter, the third week is the third quarter and the fourth week is the fourth quarter.

 

The Weekly Cycle is comprised of four quarters, one day each. Monday is the first quarter, Tuesday is the second quarter, Wednesday is the third quarter and Thursday is the fourth quarter. Friday is not included into the weekly cycle due to the fact that it has its own specific function.

The Daily Cycle is comprised of four quarters, six hours each, which perfectly aligns with the four trading sessions of a trading day. The first quarter is the Asian session, the second quarter is the London session, the third quarter is the New York session and the fourth quarter is the afternoon session. 
 
Each Session is comprised of four quarters, 90 minutes each. During the Asian session, the 90 minute cycles are as follows: 18:00 to 19.30 is the first quarter, 19.30 to 21:00 is the second quarter, 21:00 to 22:30 is the third quarter and 22:30 to 24:00 midnight is the fourth quarter. During the London session, the first quarter is 00.00 / midnight to 1:30. The second quarter is 1:30 to 3:00. The third quarter is 3:00 to 4:30, and the fourth quarter is 4:30 to 6:00. The New York AM Session starts with the first quarter at 6:00 and lasts to 7:30. The second quarter is 7:30 to 9:00. The third quarter is 9:00 to 10:30. And the fourth quarter is 10:30 to 12:00. The first quarter of the New York PM Session starts  at 12:00 and lasts to 13:30. The second quarter is 13:30 to 15:00. The third quarter is 15:00 to 16:30. And the fourth quarter is 16:30 to 18:00.

Now that we understand that time is fractal, we can begin to look into the functions of some of the quarters. Price is delivered by an algorithm. So there must be some initial input which is used to make decisions throughout each cycle. This is the function of Q1. Q1 dictates the quarters which follow, meaning Q1 is used as a barometer for forecasting market conditions in the subsequent quarters of each cycle. If the first quarter is overextended, expect the second quarter to consolidate, and if the first quarter is in a tight range, expect the second quarter to expand. 
 
 
True Opens are the main components of quarterly theory. There are specific openings of price which serve as a time-based filter for gauging manipulation swings or stop-hunts. True opens are the beginning of Q2 of every cycle.  True Opens are defined by these times:
  • Yearly True Open = 1st Monday of April.
  • Monthly True Open = 2nd Monday of the month.
  • Weekly True Open = 18:00 every Monday.
  • Daily True Open = 12:00 (Midnight).
  • NY AM Session True Open = 7:30
  • NY AM Session True Open = 13:30
  • Asian Session True Open = 19:30
  • London Session True Open = 1:30
 
Buy below True Open. Sell above True Open.
 
 
It is a simple concept to understand. If you are bullish within a specific cycle, you want to buy below its true open, and if you are bearish within a specific cycle, you want to sell above its true open. This will increase your accuracy tremendously, as key levels usually rest above or below true opens. Every cycle has its own true open. The true year open is the opening price of the first Monday of April. The true month open is the opening price of the second Monday of the month. The true week open is Monday at 18:00. The true day open is 12 o'clock midnight. The true open of the age on session is 19:30. The true open of the London session is 1:30. The true open of the New York session is 7:30. And the true open of the afternoon session is 13:30. The image to the right depicts how true opens function during bullish market environments.

There are two sets of instructions that the algorithm follows:  

AMD-X and X-AMD
 
A = Accumulation (required for a cycle to occur)
M = Manipulation = Judas Swing
D = Distribution
X = Reversal or Continuation

After a tight Q1 range the Q2 Manipulation Phase begins. ICT calls this the Judas Swing. According to his algorithmic theory, the purpose of this fake move is to get traders offside. After Q2 the real move takes place: the Q3 distribution phase and is usually the easiest to trade as the previous quarter has already established a trend of the cycle. The fourth phase is X which can either continue to establish range of the cycle or reverse. In regards to this example, the fourth quarter is reversal. As you can see, price reverses at Higher Time Frame Premium-Discount Arrays (PDAs) or key levels. 
 
 The AMD-Principle is represented in every bar of every time-frame (monthly, weekly, daily, 4 Hour, etc.) 
with a price value at which it starts trading (opening price), the highest price value (high), the lowest (low), 
and  a value of the time it ends trading (close).

Liquidity is induced when price breaches old highs and old lows while trading into key levels. If you usually trade with the one minute chart, you need a 15 minute PDA. If you usually trade with the five minute chart, you need a one hour PDA. If you usually trade with the 15 minute chart, you need a four hour PDA. If you usually trade with the one hour chart, you need a daily PDA. And if you usually trade with the four hour chart, you need a weekly PDA. 
 
Regarding X-AMD, the first quarter is the continuation or reversal of the previous Q. Of the previous cycle, using what we understand from the function of Q1, Q2 should then accumulate, resulting in high range price action. Q3 would then be the manipulation phase. However, the rules for the true opens are static. They don't change. The opening price of Q2 will always be its true open. So if the profile that you're looking at is X-AMD, even though accumulation takes place during Q2, you will use the opening price of Q2, which is its true open to gauge, the Judah swing, which will present itself more times or not in Q3. The last phase will be the distribution phase, which will be the easiest phase to trade in regards to X-AMD. 
 
Dividing a 90 Minute Cycle into 22.5 Minute Quarters (Micro Sessions).
 
Reference:
 
Quarterly Theory - the Hack of the Algorithm?
» Is this proof of the algorithm existing or not? I do think so;-) 
And it's mind blowing how this fractal quarterly theory happens over and over again. « 

Monday, February 13, 2023

The Closing Auction | Price Discovery, Liquidity, and Disagreement

 

The closing auction accounts for a striking 7.5% of daily volume in 2018, up from 3.1% in 2010. The growth of indexing and ETFs shifts trading towards the close and distorts closing prices: they often deviate from closing quote midpoints, but the deviations revert by half shortly after the close and fully overnight. As volume migrates towards the close, liquidity at the open deteriorates.

Quoted from:
Vincent Bogousslavsky & Dmitriy Muravyev (Dec 3, 2020) - Who Trades at the Close?
Implications for Price Discovery, Liquidity, and Disagreement.

See also:
TPR (Jan 12, 2023) - The ICT Power of 3: Accumulation - Manipulation - Distribution (AMD).