THISMA fndtimeDescription:
This indicator is crafted to assist traders in tracking the time left until the next funding event. It's tailored for platforms like Binance, Bitget, Bybit, and any other platforms that have regular 8-hour funding intervals synchronized with 16h UTC.
Key Features:
Adaptability: Designed for major platforms such as Binance, Bitget, and Bybit.
Precision: Synchronized with UTC time to ensure countdown accuracy.
Visibility: Clear display in the bottom-left corner for quick reference.
How It Works:
Display: The remaining time until the next funding event is displayed in the upper-right corner of the chart. The format is in hours and minutes (e.g., "2h 15m" for 2 hours and 15 minutes).
Applications:
Risk Management: Always be aware of the next funding event to better manage your positions.
Planning: Use the counter to plan your entries and exits around funding events.
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THISMA fndoverlayDescription:
This indicator is designed to visually assist traders in identifying candles that align with 16h, 0h, and 8h UTC. Whenever a candle matches one of these times, a label is displayed below the candle to signify this event.
Key Features:
Simplicity: The indicator is straightforward with no complicated parameters.
Visibility: Blue labels are clearly visible and positioned below the corresponding candles to avoid any confusion.
Adaptability: Works on any timeframe but is especially useful for intraday charts to spot key candles.
How It Works:
Display: Look for blue labels below the candles. These labels indicate that the candle aligns with one of the target times (16h, 0h, or 8h UTC).
Applications:
Session Planning: If you trade based on specific sessions or want to be aware of major market openings/closings, this indicator can quickly highlight these key moments.
Technical Analysis: Use these markers to align your technical analyses with specific times of the day.
AIAE: Average Investor's Allocation To EquityPeople say a bull market ends when there are no more buyers left on the market and a bear market ends when there are no more sellers. Well, this indicador shows exactly this.
It uses FRED data to compare the total value invested on stocks with the total value held by investors to find the percentage that is allocated to stocks.
The exact formula used to calculate this index was created by pseudonymous Jesse Livermore and is available for free to anyone who wishes to consult it in his blog Philosophical Economics . The only thing I'm adding here that wasn't available on Jesse's index is the color code.
This script will use Jesse's formula to find the average investor's allocation to equity at any given time. Then, it will color the SPDR (S&P 500) according to this allocation.
A high allocation to equity means we could be close to a market correction, so it will color the SPDR in red and a low allocation means we could be close to a market bottom, so it will color the SPDR in blue.
Here's the exact color parameters used:
switch
AIAE <= 23 => priceLevel := "Gift"
AIAE > 23 and AIAE <=26 => priceLevel := "Very Cheap"
AIAE > 26 and AIAE <= 29 => priceLevel := "Cheap"
AIAE > 29 and AIAE <= 32 => priceLevel := "Slightly Cheap"
AIAE > 32 and AIAE <= 37 => priceLevel := "Neutral"
AIAE > 37 and AIAE <= 40 => priceLevel := "Slightly Expensive"
AIAE > 40 and AIAE <= 43 => priceLevel := "Expensive"
AIAE > 43 and AIAE <= 46 => priceLevel := "Very Expensive"
AIAE > 46 => priceLevel := "Exuberant"
Please note that this indicador should ONLY be used on the SPDR (S&P 500). It will not produce adequate results if used on other assets.
US Presidential ElectionsThis script can be useful in case of analyzing the impact of US presidential election on the past market.
It has separated settings for showing Inauguration and Election labels.
Cycles: 4x dual inputs: Swing / Time Cycles projected forward//Purpose/Premise:
To project forward vertical 'cycle' lines based on user-input anchor points, and to search for confluence.
The idea being that if several well-anchored cycles agree (i.e. we see multiple bunched vertical line confluence in the future), then this may add support to an already existing trade idea, or may indicate an increased likelihood of a shift in direction.
//Usage & notes:
~In the above chart I've anchored to obvious swing lows and swing highs in Btc/Usd from 2020-2022. You could also use fixed time-based cycles from a favored start anchor point. Bars per cycle are printed at the top of each cycle box if your're interested in time cycles. I.e. for 1, 2, 3 month cycles: for BTC you could use 30, 60, 90 bars on daily; for S&P you could use 20, 40, 60 bars on daily.
~On first loading the indicator you will be asked select 'start date', and 'end date' for each of 4 sessions (8x clicks on chart). After this you can easily reset points by clicking the indicator display line three dots>> reset points. Or you can simply drag the vertical box edges (purple lines) to change your cycle anchor points.
~Be sure the start anchor point is before the end anchor point or box/lines won't appear.
~When you drop down to low timeframes you might get bar_index error due to history available: you need then to click the three dots on indicator display line >> reset points >> 8x clicks on the chart.
~Vertical projected lines will match the color of the cycle box they origninate from.
~Lines will project into the future as far as is allowed by tradingview (500 bars max)
//Inputs:
~Time start and end dates for each cycle (change these as described above, or input manually)
~Show/hide each cycle (default is show all 4)
~Formatting options: color of forward projected lines, line width, line style, line / box / text color.
~Box transparancy: Set to 100 to make boxes invisible & declutter the chart. Set to 0 for maximum opacity. Default is 80.
thanks to @Sathyamurthie for his ideas on cycle confluence which caused me to write this.
AMDX Time ZoneThis script is base on the theory of @traderdaye, on the TimeZone AMDX
Accumulation
Manipulation
Distribution
X reversal / continuation
OR
AMDX
It show you the box on intraday Timeframe:
Q1: 18.00 - 19.30 | Q2: 19.30 - 21.00 | Q3: 21.00 - 22.30 | Q4: 22.30 - 00.00 (90min Cycles of the Asian Session)
Q1: 00.00 - 01.30 | Q2: 01.30 - 03.00 | Q3: 03.00 - 04.30 | Q4: 04.30 - 06.00 (90min Cycles of the London Session)
Q1: 06.00 - 07.30 | Q2: 07.30 - 09.00 | Q3: 09.00 - 10.30 | Q4: 10.30 - 12.00 (90min Cycles of the NY Session)
Q1: 12.00 - 13.30 | Q2: 13.30 - 15.00 | Q3: 15.00 - 16.30 | Q4: 16.30 - 18.00 (90min Cycles of the PM Session)
You can extend this theory to the day => to the week => to the month
Thanks LuxAlgo for the base,
Hope you enjoy it
Daye Quarterly Theory by toodegrees> Introduction and Acknowledgements
The Daye Quarterly Theory° tool encompasses the cyclical Time aspect of the markets as studied and developed by Daye (traderdaye on Twitter).
I am not the creator of this Theory, and I do not hold the answers to all the questions you may have; I suggest you to study it from Daye's tweets and material.
I collaborated directly with Daye to bring a comprehensive Time tool to Tradingview.
S/O to @a1tmaniac and @joshuuu for their previous works on this Theory.
> Tool Description
This is purely a graphical aid for traders to be able to quickly determine Daye's Quarterly Cycles, and save Time while on the charts.
The disruptive value of this tool is that it reliably plots forwards in Time, allowing you to strategize and tape read efficiently; as well as calculating all the Cycles, from Micro Sessions, to the Year.
> Quarterly Theory by Daye
The underlying idea is that Time is to be divided in Quarters for correct interpretation of Market Cycles. The specific starting point of a Cycle will depend on the Timeframe at hand.
Daye being one of the most prominent Inner Circle Trader students, these ideas stem from ICT's concepts themselves, and are to be used hand in hand (PD Array Matrix, PO3, Institutional Price Levels, ...).
These Quarters represent:
A - Accumulation (required for a cycle to occur)
M - Manipulation
D - Distribution
X - Reversal/Continuation
The latter are going to always be in this specific sequence; however the cycle can be transposed to have its beginning in X, trivially followed by A, M, and finally D.
This feature is not automatic and at the subjective discretion of the Analyst.
Note: this theory has been developed on Futures, hence its validity and reliability may change depending on the market Time.
This tool does provide a dynamic and auto-adapting aspect to different market types and Times, however they must be seen as experimental.
> Quarterly Cycles
The Quarterly Cycles currently supported are: Yearly, Monthly, Weekly, Daily, 90 Minute, Micro Sessions.
– 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
Note: this Cycle is the most difficult to optimize as Timeframes become more granular due to the sheer length of its duration. With Time and advancements it will become more accurate. This is the only Cycle for which accuracy is not 100%.
– 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 6H quarters. These Times roughly define the sessions of the Trading Day, reinforcing the Theory’s validity.
Q1 - 18:00 - 00:00, Asian Session
Q2 - 00:00 - 06:00, London Session (True Open, Midnight New York Time)
Q3 - 06:00 - 12:00, NY Session
Q4 - 12:00 - 18:00, PM Session
Note: these Times are based on Futures Trading in New York Time, these will vary depending on the market type (experimental).
– 90 Minute Cycle:
Merely dividing one of the Daily Cycle’s Quarters we obtain 90 minute quarters. The first one in a Trading Day – 90min Cycles of the Asian Session – follows as an example, in New York Time.
Q1 - 18:00 - 19:30
Q2 - 19:30 - 21:00 (True Open)
Q3 - 21:00 - 22:30
Q4 - 22:30 - 00:00
– Micro Cycle:
Lastly, dividing a 90 Minute Cycle yields 22.5 Minute Quarters, known as Micro Sessions. An example breaking down the 90 Minute Cycle from 18:00 to 19:30 follows.
Q1 - 18:00 - 18:22:30
Q2 - 18:22:30 - 18:45 (True Open)
Q3 - 18:45 - 19:07:30
Q4 - 19:07:30 - 19:30
Note: trivially, these may not be exact unless the Timeframe is in the seconds, to correctly account for the half minute in each quarter – this said the tool is able to plot these anyways, although slight inaccuracy needs to be taken account depending on the Timeframe.
It is important to remember and be aware that the current chart’s Timeframe will heavily impact the plotted Time Cycles. This tool is in its initial form and it will be improved and adapted as traders start using it on a daily basis.
> Tool Settings
Plot Settings:
"Plot Type" will allow you to decide how the Cycles will be displayed. Out of the box the tool will be plotted on a separate pane, at the bottom of the chart; you can decide the orientation of the cycles from longest cycle at the bottom (Bottom Pane), or top (Top Pane). Alternatively you can move the tool to the chart and have the cycles plot on price (Move To -> Existing Pane Above), specifically above price (Top), or below (Bottom). The cycles will auto adjust their position based on the visible price action.
"Historical Cycles" will show previous Historical Cycles, up to where available in terms of script memory.
"Plot Size" will allow you to vary the height of the Cycle’s boxes
"Show Labels" will give you an auto-adapting legend which will help you determine which Cycle is which if you get lost.
The remaining Settings are self explanatory, allowing you to change colors, and choose which Cycles to see.
The source of the code is hidden due to the use of private libraries of mine. Happy to answer any questions in terms of code, where I will not be able to divulge any detail that concerns said libraries. Thank you for understanding!
Major thanks to Daye for his Time and Knowledge, it was a pleasure to collaborate and work together on this tool.
GLGT!
LIT - TimingIntroduction
This Script displays the Asia Session Range, the London Open Inducement Window, the NY Open Inducement Window, the Previous Week's high and low, the Previous Day's highs and lows, and the Day Open price in the cleanest way possible.
Description
The Indicator is based on UTC -7 timing but displays the Session Boxes automatically correct at your chart so you do not have to adjust any timings based on your Time Zone and don't have to do any calculations based on your UTC. It is already perfect.
You will see on default settings the purple Asia Box and 2 grey boxes, the first one is for the London Open Inducement Window (1 hour) and the second grey box is for the NY Open Inducement Window (also 1 hour)
Asia Range comes with default settings with the Asia Range high, low, and midline, you can remove these 3 lines in the settings "style" and untick the "Lines" box, that way you only will have the boxes displayed.
Special Feature
Most Timing-based Indicators have "bugged" boxes or don't show clean boxes at all and don't adjust at daylight savings times, we made sure that everything automatically gets adjusted so you don't have to! So the timings will always display at the correct time regarding the daylight savings times.
Combining Timing with Liquidity Zones the right way and in a clear, clean, and simple format.
Different than others this script also shows the "true" Asia range as it respects the "day open gap" which affects the Asia range in other scripts and it also covers the full 8 hours of Asia Session.
Additions
You can add in the settings menu the last week's high and low, the previous day's high and low, and also the day's open price by ticking the boxes in the settings menu
All colors of the boxes are fully adjustable and customizable for your personal preferences. Same for the previous weeks and day highs and lows. Just go to "Style" and you can adjust the Line types or colors to your preferred choice.
Recommended Use
The most beautiful display is on the M5 Timeframe as you have a clear overview of all sessions without losing the intraday view. You can also use it on the M1 for more details or the M15 for the bigger picture. The Template can hide on higher time frames starting from the H1 to not flood your chart with boxes.
How to use the Asia Session Range Box
Use the Asia Range Box as your intraday Guide, keep in mind that a Breakout of Asia high or low induces Liquidity and a common price behavior is a reversal after the fake breakout of that range.
How to use the London Open and NY Open Inducement Windows
Both grey boxes highlight the Open of either London Open or NY Open and you should keep an eye out for potential Liquditiy Graps or Mitigations during that times as this is when they introduce major Liquidity for the regarding Session.
How to use the Asia high, low and midline and day open price
After Asia Range got taken out in one direction, often price comes back to those levels to mitigate or bounce off, so you can imagine those zones as support and resistance on some occasions, recommended in combination with Imbalances.
How to use the previous day and week's highs and lows
Once added in the settings, you can display those price levels, you can use them either as Liquidity Targets or as Inducement Levels once they are taken out.
Enjoy!
Seasonality by Scan Your StratOverview :
This indicator helps with seasonality on the security. Seasonal analysis searches for repeating patterns across the years. Our recommended timeframe to look for seasonality is a minimum of 5 years. The idea is to see if there are predictable movements in price that recur every calendar year.
How it works/Calculations :
It will take all the years that you choose, whether 5 or 10 or 15 years or more and will analyze the average movement by calendar year and then will detrend the results to give you a chart that goes horizontally and makes you see a clearer picture of periods of strengths or periods of weakness. It will take the ROC of each day for each year and average the results and at the end will give you a chart with line that can show uptrend or downtrend.
Potential Pitfalls :
Certain events of that year can affect the movement for that security more than a “normal” year would. In addition, there are similar price action moves that can happen across several years that have no true seasonal basis. For example, company news released coincidentally at the same time of the year over several years and can lead to show a seasonal pattern when there is not one. You can battle this by using more years like 10 or 15 years or by eliminating years from being analyze. On the other hand, using too many years (like distant past) may have little to do with today's price action and seasonal trends.
How to use :
You should not be using this indicator for entries or stop. This indicator will help you identify potential periods of strength and may help you in holding longer. Sometimes seasonal periods can start sooner or later to the chart. Very important, the indicator will work only on daily candle as the smallest timeframe.
Settings :
- Start year and end year : to put years where you want to start your analysis and where it ends. For example, you can put 2013 as a start and 2022 year end. *”Use years back” will need to be at 0 for this option to work.
- Use years back : you can put directly 10 years and will analyze 2013 to 2022. If there is a number in here like 5, will mean the last 5 years and will trump any years on the above section. "0" means is deactivated and you can use start year and end year options.
- Avoid year - there are 3 spots if you wanted to avoid certain years in a series. For example, lets say you want to analyze the last 10 years but you want to eliminate 2020 due to covid then you can put in here up to 3 different years that will not be taken into account.
- Start month and end month : it will be automatic at start 1 and end 12, but if you wanted to just see a specific timeframe you can adjust in here.
Disclaimer :
This is still an indicator that is being tested and in no way should be used alone. Currently will be in closed beta to find bugs and to work on accuracy.
The information contained in this script does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts are only for educational purposes!
Bitcoin Market Cap wave model weeklyThis Bitcoin Market Cap wave model indicator is rooted in the foundation of my previously developed tool, the : Bitcoin wave model
To derive the Total Market Cap from the Bitcoin wave price model, I employed a straightforward estimation for the Total Market Supply (TMS). This estimation relies on the formula:
TMS <= (1 - 2^(-h)) for any h.This equation holds true for any value of h, which will be elaborated upon shortly. It is important to note that this inequality becomes the equality at the dates of halvings, diverging only slightly during other periods.
Bitcoin wave model is based on the logarithmic regression model and the sinusoidal waves, induced by the halving events.
This chart presents the outcome of an in-depth analysis of the complete set of Bitcoin price data available from October 2009 to August 2023.
The central concept is that the logarithm of the Bitcoin price closely adheres to the logarithmic regression model. If we plot the logarithm of the price against the logarithm of time, it forms a nearly straight line.
The parameters of this model are provided in the script as follows: log(BTCUSD) = 1.48 + 5.44log(h).
The secondary concept involves employing the inherent time unit of Bitcoin instead of days:
'h' denotes a slightly adjusted time measurement intrinsic to the Bitcoin blockchain. It can be approximated as (days since the genesis block) * 0.0007. Precisely, 'h' is defined as follows: h = 0 at the genesis block, h = 1 at the first halving block, and so forth. In general, h = block height / 210,000.
Adjustments are made to account for variations in block creation time.
The third concept revolves around investigating halving waves triggered by supply shock events resulting from the halvings. These halvings occur at regular intervals in Bitcoin's native time 'h'. All halvings transpire when 'h' is an integer. These events induce waves with intervals denoted as h = 1.
Consequently, we can model these waves using a sin(2pih - a) function. The parameter determining the time shift is assessed as 'a = 0.4', aligning with earlier expectations for halving events and their subsequent outcomes.
The fourth concept introduces the notion that the waves gradually diminish in amplitude over the progression of "time h," diminishing at a rate of 0.7^h.
Lastly, we can create bands around the modeled sinusoidal waves. The upper band is derived by multiplying the sine wave by a factor of 3.1*(1-0.16)^h, while the lower band is obtained by dividing the sine wave by the same factor, 3.1*(1-0.16)^h.
The current bandwidth is 2.5x. That means that the upper band is 2.5 times the lower band. These bands are forming an exceptionally narrow predictive channel for Bitcoin. Consequently, a highly accurate estimation of the peak of the next cycle can be derived.
The prediction indicates that the zenith past the fourth halving, expected around the summer of 2025, could result in Total Bitcoin Market Cap ranging between 4B and 5B USD.
The projections to the future works well only for weekly timeframe.
Enjoy the mathematical insights!
Bitcoin wave modelBitcoin wave model is based on the logarithmic regression model and the sinusoidal waves, induced by the halving events.
This chart presents the outcome of an in-depth analysis of the complete set of Bitcoin price data available from October 2009 to August 2023.
The central concept is that the logarithm of the Bitcoin price closely adheres to the logarithmic regression model. If we plot the logarithm of the price against the logarithm of time, it forms a nearly straight line.
The parameters of this model are provided in the script as follows: log (BTCUSD) = 1.48 + 5.44log(h).
The secondary concept involves employing the inherent time unit of Bitcoin instead of days:
'h' denotes a slightly adjusted time measurement intrinsic to the Bitcoin blockchain. It can be approximated as (days since the genesis block) * 0.0007. Precisely, 'h' is defined as follows: h = 0 at the genesis block, h = 1 at the first halving block, and so forth. In general, h = block height / 210,000.
Adjustments are made to account for variations in block creation time.
The third concept revolves around investigating halving waves triggered by supply shock events resulting from the halvings. These halvings occur at regular intervals in Bitcoin's native time 'h'. All halvings transpire when 'h' is an integer. These events induce waves with intervals denoted as h = 1.
Consequently, we can model these waves using a sin(2pih - a) function. The parameter determining the time shift is assessed as 'a = 0.4', aligning with earlier expectations for halving events and their subsequent outcomes.
The fourth concept introduces the notion that the waves gradually diminish in amplitude over the progression of "time h," diminishing at a rate of 0.7^h.
Lastly, we can create bands around the modeled sinusoidal waves. The upper band is derived by multiplying the sine wave by a factor of 3.1*(1-0.16)^h, while the lower band is obtained by dividing the sine wave by the same factor, 3.1*(1-0.16)^h.
The current bandwidth is 2.5x. That means that the upper band is 2.5 times the lower band. These bands are forming an exceptionally narrow predictive channel for Bitcoin. Consequently, a highly accurate estimation of the peak of the next cycle can be derived.
The prediction indicates that the zenith past the fourth halving, expected around the summer of 2025, could result in prices ranging between 200,000 and 240,000 USD.
Enjoy the mathematical insights!
Personal Trading Hours (timezone Europe/Amsterdam)This Personal Trading Hours indicator is intended to specify the times you can trade and make them visible on the chart. Multiple sessions can be specified per specific day of the week and you can give each day its own color if you want.
This can be used perfectly if you are backtesting your strategy manually. You can indicate exactly when you have time to look at the charts and therefore only perform your backtest at those times. Making mistakes that you open en close trades during your sleeptime or worktime in your backtest are gone.
But this indicator is also suitable for live trading.
Filter out the times when you don't want to trade, for example during lunchtime, during opening hours of the exchanges or when you know that big news events will take place during your tradingweek. All the timesessions you do want to trade you can make visible on you chart.
The timezone that is used for this indicator is the timezone: Europe/Amsterdam and therefor only usable for traders in this timezone.
You can use this indicator for timeframes lower then the Daily timeframe with the normal settings. If you want to use this indicator on the Daily timeframe, all the settings in the upper part of the settingsmenu must be unchecked and only the part at the bottom of the settingsmenu can then be used.
This indicator doesn't work on timeframes higher than the Daily timeframe.
If you do not use all the tradingsessions on each day, you have to make sure that all the boxes are filled. So unused session boxes must have the same timeperiodes as the used boxes, otherwise the whole day will be highlighted on the chart.
Hybrid EMA AlgoLearner⭕️Innovative trading indicator that utilizes a k-NN-inspired algorithmic approach alongside traditional Exponential Moving Averages (EMAs) for more nuanced analysis. While the algorithm doesn't actually employ machine learning techniques, it mimics the logic of the k-Nearest Neighbors (k-NN) methodology. The script takes into account the closest 'k' distances between a short-term and long-term EMA to create a weighted short-term EMA. This combination of rule-based logic and EMA technicals offers traders a more sophisticated tool for market analysis.
⭕️Foundational EMAs: The script kicks off by generating a 50-period short-term EMA and a 200-period long-term EMA. These EMAs serve a dual purpose: they provide the basic trend-following capability familiar to most traders, akin to the classic EMA 50 and EMA 200, and set the stage for more intricate calculations to follow.
⭕️k-NN Integration: The indicator distinguishes itself by introducing k-NN (k-Nearest Neighbors) logic into the mix. This machine learning technique scans prior market data to find the closest 'neighbors' or distances between the two EMAs. The 'k' closest distances are then picked for further analysis, thus imbuing the indicator with an added layer of data-driven context.
⭕️Algorithmic Weighting: After the k closest distances are identified, they are utilized to compute a weighted EMA. Each of the k closest short-term EMA values is weighted by its associated distance. These weighted values are summed up and normalized by the sum of all chosen distances. The result is a weighted short-term EMA that packs more nuanced information than a simple EMA would.
Quarterly Cycles [Daye's Theory]This is entirely based on quarters theory by Daye (@traderdaye in Twitter). I'm merely the creator of the indicator and full credits for the underlying concept goes to Daye.
The idea is to split year, month, week and day into quarters at specific times which lead to PO3 (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/Reversal of previous quarter
(OR)
Q1. (X) - Continuation/Reversal of previous quarter
Q2. (A)ccumulation - Consolidation
Q3. (M)anipulation - Judas Swing
Q4. (D)istribution - Low Resistance Liquidity Run
As of now, the indicator assumes everything as AMDX, but if some clever idea comes in the future, I'll try to implement XAMD as well.
Similar to True Day Opens, there are True Monthly Opens, True Weekly Opens and True Session Opens, all of which form during the second quarters of those periods, all of which are marked by the indicator. For timeframes in H1 and below, the indicator shows weekly, daily and session quarter cycle phases. For higher timeframes, it shows yearly, monthly and weekly cycle phases.
Daye @joshuuuThis indicator is based on Dayes studies about 90minute cycles and true opens.
Similar to how ICT teaches the true day open at 0.00, Daye came up with his true year, true month, true week and true session opens.
True Year - April 1st
True Month - 2nd Monday
True Week - Monday, 6pm
True Day - 12am (Midnight)
True Session - 1:30am (London), 7:30am (New York), 1:30pm (Afternoon)
Ideally, for a bearish scenario, we would like to see price trade above the opening price to then reverse and trade lower.
Ideally, for a bullish scenario, we would like to see price trade below the opening price to then reverse and trade higher.
The moves into the opposite direction are used my smart money to accumulate their positions and trap traders into wrong positions.
This indicator also shows 90 minutes cycles.
90min Cycle Cheat Sheet:
Q1. (A)ccumulation - Consolidation
Q2. (M)anipulation - Judas Swing (Trade this)
Q3. (D)istribution - LRLR (Trade this)
Q4. (X) - Continuation/Reversal of previous q.
Or
Q1. (X) - Continuation/Reversal of previous q.
Q2. (A)ccumulation - Consolidation
Q3. (M)anipulation - Judas Swing (Trade this)
Q4. (D)istribution - LRLR (Trade this)
This shows that if q1 consolidates and q2 takes out one side and reverses we anticipate q3 to have a strong move.
however, if q2 consolidates, we anticipate q3 to take out one side, reverse and then have a strong move in q4.
