Time Zone RouzzyTNYC , London & Asia section
Each time-zone has a different color to be able to distinguish which section we are in at the moment.
These sessions have been identified to operate the EURUSD, apart from that it also works with the DXY.
London is identified with the color light purple.
NYC is identified with the color turquoise blue.
Asia is identified with the color yellow.
The beginnings of each Day are identified with the color gray.
London is from 2am to 5am
NYC from 8am to 11am
Asia from 8pm to 11pm
OANDA:EURUSD
FX:EURUSD
TVC:DXY
HEURE
Seasonality Widget [LuxAlgo]The Seasonality Widget tool allows users to easily visualize seasonal trends from various data sources.
Users can select different levels of granularity as well as different statistics to express seasonal trends.
🔶 USAGE
Seasonality allows us to observe general trends occurring at regular intervals. These intervals can be user-selected from the granularity setting and determine how the data is grouped, these include:
Hour
Day Of Week
Day Of Month
Month
Day Of Year
The above seasonal chart shows the BTCUSD seasonal price change for every hour of the day, that is the average price change taken for every specific hour. This allows us to obtain an estimate of the expected price move at specific hours of the day.
Users can select when data should start being collected using the "From Date" setting, any data before the selected date will not be included in the calculation of the Seasonality Widget.
🔹 Data To Analyze
The Seasonality Widget can return the seasonality for the following data:
Price Change
Closing price minus the previous closing price.
Price Change (%)
Closing price minus the previous closing price, divided by the
previous closing price, then multiplied by 100.
Price Change (Sign)
Sign of the price change (-1 for negative change, 1 for positive change), normalized in a range (0, 100). Values above 50 suggest more positive changes on average.
Range
High price minus low price.
Price - SMA
Price minus its simple moving average. Users can select the SMA period.
Volume
Amount of contracts traded. Allow users to see which periods are generally the most /least liquid.
Volume - SMA
Volume minus its simple moving average. Users can select the SMA period.
🔹 Filter
In addition to the "From Date" threshold users can exclude data from specific periods of time, potentially removing outliers in the final results.
The period type can be specified in the "Filter Granularity" setting. The exact time to exclude can then be specified in the "Numerical Filter Input" setting, multiple values are supported and should be comma separated.
For example, if we want to exclude the entire 2008 period we can simply select "Year" as filter granularity, then input 2008 in the "Numerical Filter Input" setting.
Do note that "Sunday" uses the value 1 as a day of the week.
🔶 DETAILS
🔹 Supported Statistics
Users can apply different statistics to the grouped data to process. These include:
Mean
Median
Max
Min
Max-Min Average
Using the median allows for obtaining a measure more robust to outliers and potentially more representative of the actual central tendency of the data.
Max and Min do not express a general tendency but allow obtaining information on the highest/lowest value of the analyzed data for specific periods.
🔶 SETTINGS
Granularity: Periods used to group data.
From Data: Starting point where data starts being collected
🔹 Data
Analyze: Specific data to be processed by the seasonality widget.
SMA Length: Period of the simple moving average used for "Price - SMA" and "Volume - SMA" options in "Analyze".
Statistic: Statistic applied to the grouped data.
🔹 Filter
Filter Granularity: Period type to exclude in the processed data.
Numerical Filter Input: Determines which of the selected hour/day of week/day of month/month/year to exclude depending on the selected Filter Granularity. Only numerical inputs can be provided. Multiple values are supported and must be comma-separated.
Session TimesDescription:
This indicator simply when enabled will draw dashed lines at each of the session openings. This is based on UTC+1 Time. There will be lines at 00:00 & 08:00 (Asian Session), lines at 08:00 & 13:00 (London Session) and finally lines at 13:00 & 00:00 (New York Session).
Potential Use:
There are many ways you could use this indicator to benefit your trading, but the best way I find is that it makes it clear where the previous highs and lows are of a session, which are potential areas you could trade off. Obviously, there are many other ways you can use this to help you.
How The Script Works:
The way the script works isn't too complicated as it is only a short script. Simply it firstly calculates what are the weekdays (Whenever it isn't Saturday or Sunday). Then from there simply finds the times which I mentioned above, and adds a vertical dashed line there.
Future Updates:
In the future I will mainly be looking to make the indicator more customisable. Firstly, I will look to make it so that the user can adjust the times that the lines are drawn at so it still works wherever you are in the world. I would also like to make it so the user can choose the colour of the lines. If you have any other additions you would like added to this, then feel free to message me.
Timeframe Marker - know when timeframes start/end
When you're on a lower timeframe, it's important to know which timeframes are starting/ending.
Timeframe Marker will display a bars that stack notifying you of your chosen timeframes.
For example, if you're on the one minute chart or another low timeframe, you'll be aware of the larger timeframes are about to begin or start.
It's always good to select the lowest timeframe first in ascending order so that the lowest bar is the lowest timeframe and bars that stack on top are larger timeframes.
The default timeframes are:
• 5 minutes (green)
• 15 minutes (yellow)
• 1 hour (orange)
• 4 hour (red)
• daily (blue)
• weekly (purple)
• monthly (gray)
If your chart's timeframe is higher than the timeframe marker you've selected, then it won't display a bar stack for that timeframe as it would normally display on every bar (this is to avoid clutter).
The future timeframe marks basically will offset to future timeframes. Set how many bars forward you'd like to see.
itradesize /\ Time Cycles x Zeussy supplementaryThis is a supplementary script to my previous itradesize /\ Time Cycles x Zeussy script. It should be displayed in a new pane.
This script will display the 30 and 90 AMD Time Cycles, along with the Asia, London, and New York AM & PM sessions in a new pane, based on the times taught by Zeussy.
You have the option to customize which cycles you would like to display, as well as the arrangement of the cycles based on the location of the pane (above or below the current chart).
The script can also be used for backtesting; just uncheck the 'Draw Today's Only' option.
Session timings are as follows:
Asia: 20:00 - 00:00
London: 02:30 - 07:00
NY AM: 07:00 - 11:30
NY PM: 11:30 - 16:00
London Cycles:
- 02:30 - 04:00
- 04:00 - 05:30
- 05:30 - 07:00
AM Cycles:
- 07:00 - 08:30
- 08:30 - 10:00
- 10:00 - 11:30
PM Cycles:
- 11:30 - 13:00
- 13:00 - 14:30
- 14:30 - 16:00
Time Bound Trading SessionsTime Bound Trading Sessions allows to add time bound conditions to your trading sessions given a date range , a time range and/or days of the week .
This indicator can be very handy if you want to control your trading sessions along those three time boundaries, applying them together and/or separately.
Feel free to reuse this code in your own strategy, and leverage the inSession condition as needed.
Features
+ It allows for date range start and/or end to be set.
+ It allows for session time range to be set.
+ It allows for days of the week to be set.
+ It applies chart background color if we are not within the given time bound session parameters.
+ It includes turn on/off functionality.
Settings
Date Range
+ {Start} checkbox: turns on/off start date
+ {Start} date/time
+ {End} checkbox: turns on/off end date
+ {End} date/time
Time Range
+ {Session} checkbox: turns on/off session time range
+ {Session} time range
Days
+ {M} checkbox: turns on/off Mondays
+ {T} checkbox: turns on/off Tuesdays
+ {W} checkbox: turns on/off Wednesdays
+ {T} checkbox: turns on/off Thursdays
+ {F} checkbox: turns on/off Fridays
+ {S} checkbox: turns on/off Saturdays
+ {S} checkbox: turns on/off Sundays
itradesize /\ Time Cycles x ZeussyI created this script based on Zeussy's & TOTK time cycle tweets.
The base 90-minute cycle starts at 2:30 AM NY time. For the best outcome, trade only during the New York AM & PM cycles. If you are a London trader, use mainly the Asian high and low instead of those 90-minute cycles as the algorithm mostly refers to them instead of the 90M cycles high or low.
In the current time cycle, we use the high and low of the previous cycle(s) to determine order flow.
During the current time cycle, IPDA refers to the previous cycle(s) as high or low. How the price reacts to these price levels is crucial for measuring order flow.
Every turning point in the market is timed and predetermined beforehand. The importance of timing can be seen by glancing at the history of the charts.
To measure order flow, we look for the following signs of reversal or continuation:
- If the price was bullish but does not find support at the previous cycle's high after breaking above it, it is the first warning sign that the order flow is potentially changing.
- If the price was bearish but does not find resistance at the previous cycle's low after breaking below it, it is the first warning sign that the order flow is potentially changing.
- If the price is bullish, then it should find support at the previous cycle's high after breaking above it.
- If the price is bearish, then it should find support at the previous cycle's low after breaking below it.
Each cycle has its Accumulation , Manipulation , and Distribution (AMD) characteristics within the larger sessions.
Even smaller cycles have these characteristics too. You can divide them further or add them up to get a more complex picture.
The indicator primarily shows the 90-minute cycles, but you can also view the multiples of 90-minute cycles to get a higher 270-minute picture. You can even divide them further into 30-minute cycles. (These 30-minute cycles can also be divided into 10-minute cycles.)
The AM sessions are from:
- 07:00 - 8:30
- 8:30 - 10:00
- 10:00 - 11:30
The PM sessions are from:
- 11:30 - 13:00
- 13:00 - 14:30
- 14:30 - 16:00
Regarding the features of the indicator, you can show the cycles as dividers or use boxes to highlight them.
The indicator also comes with a pivot high & low for the 90-minute cycles, which means the script automatically lengthens the high or low of the former 90-minute cycle until it's taken. If it has not been taken until the 90-minute cycle ends, it stops drawing.
Vertical line at 8 AMThis indicator plots a blue vertical line on the chart when it's 8 AM, providing a clear visual reference of this time point on the TradingView chart.
ICT Hydra MacrosThis indicator allows you to set a colored box at each time frame specified as Macro.
The purpose of this customizable color box is to be able to identify the start and end of the desired time frame, as well as the highest and lowest price during that time frame.
It also allows to place the schedule in numbers inside the box in order to quickly identify the painted time frame.
The indicator has up to 26 customizable boxes both in time frame and color. This allows to have different time frames that each Trader considers convenient for his strategy.
Settings:
General Settings:
Limit Days to Draw: Indicates the number of past days in which boxes will be drawn. Default value is 5 past days.
Timeframe Limit: Indicates the maximum time frame in which the boxes will be displayed. Default value is 5 minutes.
Timezone: Indicates the desired Timezone to calculate the schedules that will be configured later.
Macros Settings:
Show Macros Boxes: Enables or disables all boxes. It is enabled by default.
Display Text: Enables or disables all labels inside the boxes containing the time frame corresponding to the box. It is enabled by default.
Macros Transparency: Indicates the transparency percentage of the selected color for all boxes. By default it contains a value of 80% transparency.
Macro 1-26: Indicates the start time and end time, as well as the color of the individual box. Each Macro can be enabled or disabled individually. Note that the boxes of each Macro will be visible only if the "Show Macros Boxes" property is enabled. By default, there are specified certain Macros or time frames with a duration of 20 minutes, which are Manipulation or Expansion Macros that mentor Hydra has taught us based on the knowledge that ICT has provided for everyone.
The objective of this indicator is to provide a visual tool on the Macros or Time Frames in which the Trader can easily observe the desired schedule and which will automatically adjust according to the time and price on all 4 sides of the box.
Time Based Comparison Tool [TFO]The goal of this indicator is to show how multiple assets are trading relative to their Previous Highs and Lows. Many traders have probably seen charts resembling this that may plot how asset prices are trading as a percent change over time, or something similar.
The key difference with this indicator is that all prices are normalized to reflect how they are trading with respect to the previous range of a user-defined timeframe. Without the normalization process, we would simply be observing some percent change from a given point in time; but this does not provide enough information to describe where price is trading relative to our desired frame of reference.
For example, if the timeframe setting was chosen to be 1 day, the indicator would plot the Previous High (PH) and Previous Low (PL) of the current symbol on the daily timeframe, denoted here by the black lines and labels. Then, the adjusted price of all selected symbols would be shown to visualize how each one is moving with respect its own PH and PL, using the current symbol's PH and PL as reference points.
In the above chart, we can see that CL was trading below its PDL from about 10:00-11:00 am EST, then broke above and retested it at around 11:20 am EST, before trading higher. To verify that this comparison works as intended, we can check to see that CL did in fact retest its PDL at this time before trading higher. Note that we are using the close price for this evaluation.
Since limiting the output to close prices can leave out some vital information, we can change the Plot Type setting from "Close" to "High to Low," which will instead show the range of prices from high to low instead of just the close.
We can expand on this by detecting when PH's and PL's have been raided (traded through), by displaying the text PHR (Previous High Raid) or PLR (Previous Low Raid) next to the symbol's label on the right. In this case below, where we're using the 1 week timeframe, we can observe that NQ1! (purple) traded through the PL level and thus its label (right) is updated to indicate a PLR.
Similarly, YM1! traded through its PH level and was updated to indicate a PHR; and ES1! raided both levels, with its label reflecting just that.
Due to the native limitation of output series in a single pine script, alerts have been consolidated to "Any PHR" or "Any PLR," meaning these alerts would fire if any of the selected symbols raided a PH or PL, respectively. If one wanted to be alerted for just a specific symbol, this could be achieved by deselecting all symbols except that which is desired, then setting an alert and adjusting its title for easier user recognition.
Trend Alignment Pro [LevelUp]Trend Alignment Pro™ is designed for traders who focus on trading with the trend. This indicator automates key aspects of fundamental and technical analysis to identify and highlight chart patterns and signals, drawing on the proven techniques of legendary trend-following traders such as William O'Neil, Jesse Livermore, and Stan Weinstein.
The indicator name, Trend Alignment , emphasizes the importance of confirming price action, patterns, and signals across multiple timeframes. It provides both daily and weekly analysis to enable accurate and timely trend identification.
🔹—— Key Features ——🔹
Daily Timeframe
Moving Average Alignment™
▪ Highlight trends based on moving averages and price action.
▪ Specify price in relation to moving averages (e.g. close above).
▪ Specify which moving averages are required to be in an uptrend.
▪ Specify moving average stacking requirements (e.g. fast above slow).
▪ Require active Power Trend (optional).
▪ Set stop-loss and requirements to end Moving Average Alignment.
Power Trend Tools and Analysis
▪ Highlight Power Trends with box or symbols at start/end points.
▪ Auto-tracking of key metrics towards a new Power Trend.
Custom Moving Averages
▪ Specify type (EMA/SMA), length and color.
▪ View 10-week SMA on daily chart.
Stats Table
▪ Comprehensive daily price and percent change stats.
Signals Table
▪ Track important trend signals with clear visuals.
Power Earnings Gap (PEG) Detection
▪ Auto-detect and highlight Power Earnings Gaps.
▪ Customize requirements, such as gap-up percent and earnings surprise.
Weekly Timeframe
Custom Moving Averages
▪ Specify type (EMA/SMA), length and color.
Tight Weeks and Up Weeks
▪ Specify weekly and percent change requirements.
Stats Table
▪ Comprehensive weekly price and percent change stats.
Daily & Weekly Timeframes
Flat Base & Consolidation
▪ Automated detection with defaults based on the active timeframe.
Custom Relative Strength Line
▪ Specify index and lookback range.
▪ Symbols plotted on RS Line indicating new high and new high before price.
▪ Two custom moving averages for daily & weekly timeframes.
Anchored VWAP (AVWAP)
▪ Multiple anchor options: year-to-date, year-to-date low/high.
Pullbacks
▪ Set key requirements and minimum number of bars.
52-Week and All-Time Highs
▪ Bullish indicators indicating outperformance.
Marked Highs & Lows
▪ Identify potential areas of support/resistance.
🔹—— Daily Chart Examples ——🔹
Daily charts are ideal for analyzing short to intermediate term trends and spotting actionable setups as they develop.
🔹—— Weekly Chart Example ——🔹
Weekly charts are helpful for identifying longer-term trends and patterns.
🔹—— Moving Average Alignment (Daily) ——🔹
Moving Average Alignment™ (MAA) is a trend-identification tool that uses moving averages, price action and their relationships to one another to detect momentum and upward trends. MAA offers extensive customization, including the following:
▪ Moving average types (EMA/SMA) and length.
▪ Which moving averages are required to be in an uptrend.
▪ Requirements on the order of moving averages (e.g. fast above slow).
▪ Optional requirement that the stock be in a Power Trend.
▪ Set stop-loss and requirements to signal the end of the MAA.
MAA delivers clear visual confirmation of trend strength and helps identify both the start and potential end of an uptrend.
🔹—— Power Trend (Daily) ——🔹
The concept of a Power Trend was created by Mike Webster, Justin Nielsen and Charles Harris while working with William O’Neil, founder of Investor's Business Daily and creator of the CANSLIM methodology. When a Power Trend is active, there is a stronger than usual uptrend underway.
A Power Trend by definition uses a major index, such as the Nasdaq Composite (IXIC), as the data source for determining a Power Trend's state. The Trend Alignment indicator builds upon this concept by enabling the current chart symbol to be the data source for the Power Trend, thus offering traders a unique and quantifiable signal when a stock is in a strong uptrend.
What Starts A Power Trend
▪ Low is above the 21-EMA for at least 10 days.
▪ 21-EMA is above the 50-SMA for at least five days.
▪ 50-SMA is in an uptrend.
▪ Close up for the day.
What Ends A Power Trend
▪ 21-EMA crosses under 50-SMA and the close is below prior day close.
▪ Close below the 50-SMA and low is 10% below recent high.
One unique feature of the Trend Alignment indicator is that you can track the progress towards a new Power Trend beginning. See the chart below for more details.
🔹—— Power Earnings Gap (Daily) ——🔹
A Power Earnings Gap refers to a stock experiencing a significant price gap-up, on high volume, following an earnings report. This typically occurs when the stock opens at least 5-10% (or more) above the prior day's close, forming a gap-up bar on the chart that signals strong retail and/or institutional buying and the start or continuation of a major uptrend. It's a bullish pattern seen in leading growth stocks that often continue to outperform.
There are extensive customization options including required gap-up percent, minimum volume change over the average volume and preferred earnings surprise requirements.
🔹—— Relative Strength Line ▪ RS Line (Daily & Weekly) ——🔹
The Relative Strength Line (RS Line), another concept popularized by William O’Neil, is a technical indicator used in stock analysis to measure a stock's performance relative to a benchmark index, such as the S&P 500. An upward-trending RS Line indicates the stock is outperforming the market, while a downward trend shows underperformance. This helps identify potential leaders or laggards regardless of market conditions.
RS Line New High
When the RS Line reaches a new high, this signals that the stock's relative strength against the benchmark is at its highest point over the current lookback range — clear evidence of market leadership.
RS Line New High Before Price
When the RS Line hits a new high ahead of the stock's price reaching a new high, this can be a leading indicator of impending price strength, as it shows the stock gaining momentum relative to the market before that strength is reflected in its price. This signal shows early outperformance and potential market leadership, often preceding a breakout or trend continuation.
New High and New High Before Price Symbols
Easily spot RS Line new highs and new highs before price; a small circle on the RS Line indicates new highs and a small square highlights new high before price.
Highlight Breaks of Moving Averages
There are two custom moving averages of the RS Line that can be configured. Looking for breaks above or below these moving averages can be helpful to effectively manage positions, such as scaling out of a trade systematically.
🔹—— Tight Weeks and Up Weeks (Weekly) ——🔹
In William O'Neil's CANSLIM methodology, tight weekly closes and up weeks are key technical indicators used to evaluate stock chart patterns and identify potential buying opportunities. Tight and up weeks may indicate institutional accumulation and price strength.
Tight closes on a weekly timeframe refer to consecutive weeks where closing prices stay within a narrow 1-1.5% range of the prior week's close, often with declining volume. This signals buyer control and accumulation, making it a bullish indicator, particularly in patterns like three-weeks-tight after an initial breakout.
When a stock closes higher than the prior week, this signals positive momentum. Multiple up weeks often indicate sustained buying and may help to spotlight emerging leaders. Increased volume on up weeks show institutional support and increase the potential for a breakout.
🔹—— Automated Anchored VWAP ▪ AVWAP (Daily & Weekly) ——🔹
Based on the work of Brian Shannon, CMT, the anchored VWAP (AVWAP) shows the average price a stock has traded at, weighted by volume, starting from a specific point in time, the anchor. AVWAP can be helpful for trend confirmation and reversals, breakout and breakdown signals as well as risk management for placing stops.
The AVWAP works with any exchange around the globe, respecting trading days, hours and holidays. Use the AVWAP with the TradingView Replay feature for historical and post-mortem analysis.
🔹—— Marked Highs and Lows (Daily & Weekly) ——🔹
Pivot highs and pivot lows are core principles in technical analysis for identifying potential turning points, support/resistance, and trends. Shown on the chart as either price or a triangle symbol, these visual cues help to quickly spot significant price levels.
Pivots highlight historical turning points in price, serving as reliable zones for potential bounces or breakouts. They can also help determine overall market direction, for example, higher highs and higher lows in uptrends. Pivots also represent where demand overwhelms supply or vice versa.
🔹—— Price Stats and Signals Tables (Daily & Weekly) ——🔹
Comprehensive daily and weekly price stats. Daily charts also includes real-time signals to monitor the trend as well as quarterly earnings and sales data.
🔹—— Custom Alerts ——🔹
The Trend Alignment indicator supports custom alerts:
▪ Moving Average Alignment started.
▪ Moving Average Alignment ended.
▪ Power Trend started.
▪ Power Trend ended.
▪ Power Earnings Gap started.
🔹—— Best Practices ——🔹
▪ Look for confirmation of an uptrend on multiple timeframes.
▪ Use multiple signals and/or patterns for confirmation of the trend.
▪ Relative strength is key to find stocks outperforming the market.
▪ Focus on companies with earnings and sales acceleration.
▪ Avoid chasing extended stocks.
▪ Always define risk before entering a trade — know where you’ll exit.
▪ Size positions based on volatility and conviction, not emotion.
▪ Be patient — trends take time to develop.
Script payant
Index Kill Zones - SMC IndicatorsWhat are Index Kill Zones?
Index Kill Zones are specific Time Windows of opportunity during the Session for Indices that have the potential for the highest volatility and where looking for trading opportunities is ideal.
The Index Kill Zone Indicator is specifically designed for the SP500, NQ100, and DJ30, Markets. What differentiates this script from other Kill Zones scripts is that this script is based on NY Midnight as the basis for the start of the day.
This is not the usual below-average Index Kill Zone indicator because this indicator does not only show the 3 main Kill Zones or Sessions, but it also offers extra Kill Zones within each session that are called "AM Session", "PM Session", the "Launch Hour", the "Silver Bullet for the London, AM, and PM Sessions", and the "Last Hour" for the London, AM, and PM sessions.
Another key differentiator of this indicator's functionality is that it shows the highs and lows of each Kill zone allowing SMC traders to monitor Time-Based Liquidity above the highs and lows of each trading session.
By splitting each trading day into AM and PM Sessions, we can identify 3 types of potential daily profiles. These daily profiles could be used as conceptual templates as to what to expect from the price during a certain day. The 6 templates are the following:
1. Two Sessions Up: Where the price would go in one direction higher during both the AM and PM Sessions.
2. Two Sessions Down: Where the price would go in one direction lower during both the AM and PM Sessions.
3. AM Rally, then PM Decline: The price would go higher during the AM session and then lower during the PM Session.
4. AM Decline, then PM Rally: The price would go lower during the AM session and then higher during the PM Session.
5. Consolidation, AM Rally, then PM Decline: Where the price would consolidate most of the AM Session, then go higher into the last hour, and then reverse and go lower during the PM Session.
5. Consolidation, AM Decline, then PM Rally: Where the price would consolidate most of the AM Session, then go lower into the last hour, and then reverse and go higher during the PM Session.
Within each AM and PM Session, there is a "Silver Bullet" that acts as a time window of opportunity to get into a continuation trade in the direction of the prevailing trend.
Also, within each AM and PM Session, there is a "Last Hour" that acts as a time window of opportunity to get into a trade in the direction of the potential trend if the price has not moved yet, or as a reversal trade opportunity if the price has already ran previous short-term highs or lows.
Finally, we have also incorporated a Notification function to remind the trader of the start of the trading Kill Zones to not miss out on potential trade opportunities.
Key Functionalities
Universal Time Reference
Every day starts at 00:00 NY Midnight, irrespective of the trader's local time, Instead of the Standard GMT Midnight. This allows all Index Kill Zones to be in line with the New York start of the day at Midnight, as taught by ICT.
Weekend Highlighter
This feature highlights time from Sunday Market Open at 5 PM NY Time to 00:00 NY Midnight.
It's useful for identifying the non-trading or the low volatility periods when trading should be avoided.
Features Breakdown
Lookback Period
Defaulted to 60 trading days, aligning with “IPDA Data Ranges”, which is ideal for backtesting.
It's adjustable for trading, and it's recommended to keep it at 20 trading days to focus on the most recent data only.
24-hour Daily Intervals
The 24-hour intervals are not the same as the usual daily candle. Instead, the start of each trading day is anchored to the 00:00 NY Midnight.
Highlights "Days of the Week" labels, "Weekend" Trading Time, and the daily high-low ranges based on the start of trading day mark being at 00:00 NY Midnight.
London Kill Zones (Green)
The Full London Session starts from 02:00 NY Time to 05:00 NY Time.
London Silver Bullet starts from 03:00 NY Time to 04:00 NY Time.
London Last Hour starts from 04:00 NY Time to 05:00 NY Time.
Highlights the high and low of the London Kill Zone to Identify Time-Based Liquidity above and below the London Kill Zone Range.
AM Session Kill Zone (Blue)
The full AM Session Starts from 09:30 NY time to 12:00 NY Time.
AM Session Silver Bullet starts from 10:00 NY Time to 11:00 NY Time.
AM Session Last Hour starts from 11:00 NY Time to 12:00 NY Time.
Highlight the high and low of the AM Session to Identify Time-Based Liquidity above and below the AM Session Range.
Highlights the time when there is the highest volatility during the AM Session.
PM Session Kill Zone (Orange)
The full PM Session Starts from 13:00 NY time to 16:00 NY Time.
PM Session Silver Bullet starts from 14:00 NY Time to 15:00 NY Time.
PM Session Last Hour starts from 15:00 NY Time to 16:00 NY Time.
Highlight the high and low of the PM Session to Identify Time-Based Liquidity above and below the PM Session Range.
Highlights the time when there is the highest volatility during the PM Session.
Bonus Features
Daily & Weekly Open Price Levels
The Open Price levels draw a horizontal line from the start of the trading day at 00:00 NY midnight, and it extends it towards the end of the trading day.
This is useful for understanding where the price is relative to the daily candle.
When Bullish, the trader should look for setups at or below the daily or weekly open price.
When Bearish, the trader should look for setups at or above the daily or weekly open price.
Whether to choose the Daily or Weekly open price depends on the trader's trading style. If the trader is day trading or scaling, then it's more appropriate to choose the Daily Open Price.
However, Day Traders can also use the Weekly candle to align with the Weekly Candle's expected range direction.
On the other hand, if the trader is a Swing Trader and wants to capitalise on the weekly candle's trend, then it's more appropriate to choose the Weekly Open Price.
However, Swing Traders can also use the Daily Open Price when looking to take a trade to time better entries with a high risk-to-reward ratio.
Daily Open Price Level (in Green) and Weekly Open Price Level (in White)
Kill Zones Open Price Level
This is useful if the trader is an intra-session trader and wants to treat the sessions as the daily candle. In this case, the trader can use the Kill Zones Open Price levels based on the same logic of the Daily Open Price, where the trade would look for buy opportunities below the Session's open price and look for sell opportunities above the Session's Open Price Level.
Notifications
The trader can also receive alerts as a reminder at the start of the desired session to ensure that he or she does not miss the start of the trading session.
Forex Kill Zones - SMC IndicatorsWhat are Kill Zones?
Kill Zones are specific Time Windows of opportunity during the Session that have the potential for the highest volatility and where looking for trading opportunities is ideal.
The Forex Kill Zone Indicator is specifically designed for the Forex Market. What differentiates this script from other Kill Zones scripts is that this script is based on NY Midnight as the basis for the start of the day.
This is not the usual below-average Kill Zone indicator because this indicator does not only show the 3 main Kill Zones or Sessions, but it also offers extra Kill Zones that are called "Asian Range (AR)", "Central Bank Dealing Range (CBDR)", and "FLOUT".
Another key differentiator of this indicator's functionality is that it shows the highs and lows of each Kill zone allowing SMC traders to monitor Time-Based Liquidity above the highs and lows of each trading session.
Another added benefit of this indicator is the Standard Deviations features for the AR, CBDR, and FLOUT that we added. The Standard Deviations act as key levels where there is a high probability of price reacting when in confluence with 1H or higher key levels (PD Arrays). The Standard Deviations are not pivot levels but are ranges above and below the Kill Zones that rely on TIME and PRICE in their calculations.
Finally, we have also incorporated a Notification function to remind the trader of the start of the trading Kill Zones to not miss out on potential trade opportunities.
Key Functionalities
1) Universal Time Reference:
Every day starts at 00:00 NY Midnight, irrespective of the trader's local time, Instead of the Standard GMT Midnight. This allows all Kill Zones to be in line with the New York start of the day at Midnight, as thought by ICT.
Weekend Highlighter
This feature highlights time from Sunday Market Open at 5 PM NY Time to 00:00 NY Midnight.
It's useful for identifying the non-trading or the low volatility periods when trading should be avoided.
Features Breakdown
Lookback Period
Defaulted to 60 trading days, aligning with “IPDA Data Ranges”, which is ideal for backtesting.
Adjustable for trading, and it's recommended to keep it at 20 trading days to focus on most recent data only.
24-hour Daily Intervals
The 24-hour intervals are not the same as the usual daily candle. Instead, the start of each trading day is anchored to the 00:00 NY Midnight.
Highlights "Days of the Week" labels, "Weekend" Trading Time, and the daily high-low ranges based on the start of trading day mark being at 00:00 NY Midnight.
London Kill Zone (Green)
Starts from 01:00 NY Time to 05:00 NY Time.
London closes at 12:00 NY Time.
Highlight the high and low of the London Kill Zone to Identify Time-Based Liquidity above and below the London Kill Zone Range.
Marks the London Close Session to mark the end of London End of the trading day, where volatility drops.
Highlights the time when there is the highest volatility during the London Session Kill Zone.
New York Kill Zone (Blue)
Starts from 07:00 NY time to 10:00 NY Time.
Marks The CME Open at 08:30 (the opening of the Bond Market).
Highlight the high and low of the New York Kill Zone to Identify Time-Based Liquidity above and below the NY Kill Zone Range.
Highlights the time when there is the highest volatility during the New York Session.
The Central Bank Dealing Range or "CBDR" (Orange)
Starts From 14:00 NY Time to 20:00 NY Time.
Highlight the high and low of the CBDR Kill Zone to Identify Time-Based Liquidity above and below the CBDR Kill Zone Range.
Also, there is an added ability to add the CBDR Standard Deviations above and below the CBDR.
Can also extend the CBDR Standard Deviations key levels until the end of the next day's London Kill Zone.
What are the CBDR Standard Deviations?
The Standard Deviations are extensions of the CBDR above and below the CBDR original range. It takes the high and low of the range and adds the range above and below the original range by x times.
The CCBDR Standard Deviations are NOT pivot levels. They are used as points of reference where we could expect the price to react when in confluence with higher timeframe reference points.
The idea behind them is that if the price is Bearish, the price could rally to +1 CBDR Standard Deviation below dropping lower. As shown in the image below on Thursday, the two vertical lines before the start of Thursday mark the CBDR Kill Zone, then the price rallied to +1 CBDR SDv and then dropped.
Asian Range "AR" Kill Zone
Starts from 20:00 NY Time to 00:00 NY Time.
Highlight the high and low of the AR Kill Zone to Identify Time-Based Liquidity above and below the AR Kill Zone Range.
Also, there is an added ability to add the AR Standard Deviations above and below the AR.
This KillZone should be primarily used when CBDR exceeds 40 pips.
Similar to the CBDR, the AR Standard Deviations also can be used as points of reference where we could expect the price to react when in confluence with higher timeframe reference points.
The AR Standard Deviations can also be extended until the end of the next day's London Kill Zone.
FLOUT Range
It Combines AR and CBDR, spanning from 14:00 NY Time to 00:00 NY Time.
The FLOUT should only be used when both AR and CBDR have small ranges of less than 10 pips combined.
Highlight the high and low of the FLOUT Kill Zone to Identify Time-Based Liquidity above and below the FLOUT Kill Zone Range.
The FLOUT Standard Deviations also can be used as points of reference where we could expect the price to react when in confluence with higher timeframe reference points.
The Flout Standard Deviations can be extended until the end of the next day London Kill Zone.
Bonus Features
Daily & Weekly Open Price Levels
The Open Price levels draw a horizontal line from the start of the trading day at 00:00 NY midnight, and it extends it towards the end of the trading day.
This is useful for understanding where the price is relative to the daily candle.
When Bullish, the trader should look for setups at or below the daily or weekly open price.
When Bearish, the trader should look for setups at or above the daily or weekly open price.
Whether to choose the Daily or Weekly open price depends on the trader's trading style. If the trader is day trading or scaling, then it's more appropriate to choose the Daily Open Price.
However, Day Traders can also use the Weekly candle to align with the Weekly Candle's expected range direction.
On the other hand, if the trader is a Swing Trader and wants to capitalise on the weekly candle's trend, then it's more appropriate to choose the Weekly Open Price.
However, Swing Traders can also use the Daily Open Price when looking to take a trade to time better entries with a high risk-to-reward ratio.
Notifications
The trader can also receive alerts as a reminder at the start of the desired session to not miss out on the start of the trading session.
Period SeparatorA useful indicator designed to display vertical line separators at specified periods, for example every hour or every 4 hours.
To use this indicator, you must be in a timeframe lower than the specified timeframe on the indicator.
I haven't found any other scripts that allow for custom time frames so I created my own :)
Let me know if you have any suggestions.
Time Matrix TableICT stresses time and liquidity levels in his teachings. This table helps to easily locate these key Time-based price levels. You can use these levels to determine your directional bias and to help generate your narrative for where the market is going.
This indicator creates a table that gives you the price for the following liquidity levels:
PDO - Previous Day Open
PDH - Previous Day High
PDL - Previous Day Low
PDC - Previous Day Close
PDEQ - Equilibrium of the previous day's range. (Calculated by math.abs(((pdh-pdl)/2)+pdl))
PWH - Previous Week High
PWL - Previous Week Low
PDH2 - Two Days Back High
PDL2 - Two Days Back Low
PDH3 - Three Days Back High
PDL3 - Three Days Back Low
And gives you the opening price for the following times:
Daily Open - 6:00pm open for current session
1:30 AM
3:00 AM
4:00 AM
Midnight Open
6:00 AM
7:30 AM
8:30 AM
NY Open
10:00 AM
12:00 PM
NY PM - 1:30pm
2:00 PM
The levels are sorted descending in price in the table, with the background colored based on their relation to price. The prices are also plotted on the chart based on the range you specify in relation to the current price. These lines are also colored based on their relation to price.
This indicator does not give you anything but the price at a specific time, you must determine your own bias and narrative based on the levels that are given.
Back Week For BacktestIt is Backtest Calculator For Essential and Plus plan holders, the length of available intraday data is calculated as follows: from now to 6 weeks back multiplied by timeframe(in minutes), i.e. you can go 6 weeks back on the 1-minute chart, 12 weeks back on the 2-minute chart, 30 weeks back on the 5-minute chart, 90 weeks back on the 15-minute chart and so on. The higher timeframe is selected, the more intraday data is available.
This show creates a weekday label based on the data in the plans allowed by TradingView. This show creates a weekday label based on the data in the plans allowed by TradingView. How much data is available for Bar Replay? According to the article, we can replay 6 weeks backwards for a 1-minute chart. This indicator is a label that shows how far we can go back, consisting of multiplying each minute by 6 between 1 minute and 60 minutes.
1 minute => 6 week backtest
2 minutes => 12 week backtest
.....
15 minutes => 90 week backtest
...
59 minutes => 354 week backtest
Price-Mapped Multi-Cycle Sine WavesThe primary function is to overlay a series of sine wave patterns onto a chart, providing a nuanced and visually intuitive representation of market dynamics.
Key features of this script include:
User-Defined Parameters: It allows users to input various parameters such as start bar (of the sine wave, so that we can start at a dynamic point), start date of the cycle plots, price range, and cycle lengths. These parameters enable customization of the sine wave patterns according to the user's specific analytical needs.
Multiple Sine Wave Cycles: It can generate up to ten different sine wave cycles, each with its own length and activation toggle.
Dynamic Visualization: The script plots these sine waves on the TradingView chart, each with a distinct color and the ability to offset the waves based on user input. This visual differentiation aids in easy identification and comparison of the different cycles.
Average Wave Calculation: Additionally, the script calculates an average wave based on the enabled cycles, providing a consolidated view of the market movement trends.
In essence, this script is a versatile tool for technical analysts and traders, offering a unique way to visualize and analyze market cycles and trends through the lens of sine wave theory. It stands as a testament to the confluence of mathematical elegance and practical financial analysis.
commonThe "Pineify/common" library presents a specialized toolkit crafted to empower traders and script developers with state-of-the-art time manipulation functions on the TradingView platform. It is instead a foundational utility aimed at enriching your script's ability to process and interpret time-based data with unparalleled precision.
Key Features
String Splitter:
The 'str_split_into_two' function is a universal string handler that separates any given input into two distinct strings based on a specified delimiter. This function is especially useful in parsing time strings or any scenario where a string needs to be divided into logical parts efficiently.
Example:
= str_split_into_two("a:b", ":")
// a = "a"
// b = "b"
Time Parser:
With 'time_to_hour_minute', users can effortlessly convert a time string into numerical hours and minutes. This function is pivotal for those who need to exact specific time series data or wish to schedule their trades down to the minute.
Example:
= time_to_hour_minute("02:30")
// time_hour = 2
// time_minute = 30
Unix Time Converter
The 'time_range_to_unix_time' function transcends traditional boundaries by converting a given time range into Unix timestamp format. This integration of date, time, and timezone, accounts for a comprehensive approach, allowing scripts to make timed decisions, perform historical analyses, and account for international markets across different time zones.
Example:
// Support 'hhmm-hhmm' and 'hh:mm-hh:mm'
= time_range_to_unix_time("09:30-12:00")
Summary:
Each function is meticulously designed to minimize complexity and maximize versatility. Whether you are a programmer seeking to streamline your code, or a trader requiring precise timing for your strategies, our library provides the logical framework that aligns with your needs.
The "Pineify/common" library is the bridge between high-level time concepts and actionable trading insights. It serves a multitude of purposes – from crafting elegant time-based triggers to dissecting complex string data. Embrace the power of precision with "Pineify/common" and elevate your TradingView scripting experience to new heights.
Gradient Value Overlay
This script helps with identifying certain conditions without cluttering too much of the candles.
Some use cases:
It helps identify rsi low and high values.
Directional price movement becoming difficult.
low and high volume.
it uses a percent rank to distinguish low and high values.
It then uses a gradient to match the percentile rank to heatmap type colors.
i.e. dark blue for lowest volume, white for highest volume.
Current options are:
max bars to use.
approximate color - This value will attempt to give an approximation of what the color might be for the candle close.
e.g. If you're on the 1-hour chart, and only 30 minutes have past, it will multiple the current volume by 1.5. As time passes, if no volume comes in eventually, it will multiply current volume by 1.
This approximate value is only set to work with volume-based options.
option - select the type of value you'd like to see the gradient for.
timeframe - get values from a different chart timeframe.
on/off - turns the gradient on or off.
Gradient type - color wheel or heatmap. Currently these are the only two gardient options.
color wheel's colors for low to high values:
color wheel's current colors:
dark blue
purple
pink
red
orange
yellow
green
teal
white
heatmap's current colors from low values to high values:
dark blue
purple
pink
red
orange
yellow
white
reverse gradient - will reverse the colors so dark blue will be the high value and white will be the low value. Some charts based on previous data; you might need to switch the gradient colors.
moving average length while inside timeframe - an exponential moving average is applied to the values. At 1, there is no moving average applied.
Use case for this is to smooth out the gradient.
An example use case - if your currently on the 1-hour chart, you can set the timeframe to 1 minute and then the moving average length inside timeframe to 60. You will then be seeing the color sixty 1-minute bars.
current timeframe moving average length - an exponential moving average applied to current gradient (helps with smoothing gradient).
Smooth, further smooths values.
There is no set rule for what moving average lengths to use. Adjust timeframe, and moving average lengths to get an insight.
The Square of NineThe Square of Nine
█ OVERVIEW
This script is made to make it easy for traders to visualize the movement of price along the square of nine table. This script Places the square of nine table right infront of you in the middle of the screen, which is why it's suggested that you would use it on the side of your main chart.
This script gives you ability to adjust number of revolutions which is the number of rings making the square of nine table up to 9 revs.
You can also change the price unit ( increments ) for each step.
You can use this indicator as a visual reference to track the price action along the square of 9 and make sense of the mechanism behind turning points. It is made to complement both :
- Gann Static Square of 9
- Gann Dynamic Square of 9
You can enable all of the following degrees and adjust their visual appearances on the chart :
360, 45, 90, 135, 180, 225, 270, 315
█ Future Plans and upgrades to this script may include :
1. Adjustable starting price.
2. Astro Integrations.
3. Visuals and matching prices.
and more! feel free to let me know what you'd like to see!
█ How to use :
1. Put the script on your chart
2. Selected your desired levels to activate and the number of desired revolutions.
give the script a few seconds and you should be set.
Daye Quarterly Theory ~ DQT [Liquidity_Pro]Thanks
This indicator puts the time-based research of trader Daye on your chart. Daye studied the ICT killzones and macro times and presented his findings, as “Quarterly Theory” on YouTube. Thank you Daye for sharing!
This indicator is not the first, so S/O to @toodegrees, @a1tmaniac and @joshuuu for their own excellent Quarterly Theory indicators. Last but not least, huge thanks go to ICT for his trading innovation and generous free price action education and to @twingall for his insight, attention to detail and great teamwork coding this indicator.
Daye’s Quarterly Theory
First, the fundamental concept is that all units of time can be divided by four into quarters -- just as we look at the year’s corporate reporting cycle of Q1, Q2, Q3, and Q4.
Dividing the day by four, into six hour quarters and again into 90 minute quarters and again into 22.5 minute ‘Micro’ quarters we reach the smallest unit shown by this indicator. Apply it to your NQ1! or ES1! charts and you may see remarkable confluence with the ICT macro times!
Why would we want to do this? It helps us understand, visualize and predict ICT’s PO3 concept:
• A - Accumulation (required for a cycle to occur)
• M - Manipulation
• D - Distribution
• X - Reversal/Continuation
The bottom line - we want to sell after a manipulation (M) up, or buy after a manipulation down and Quarterly Theory plots times on your chart where this may occur. Every asset is different, so back-test and research it.
Note, this indicator always shows Q1 as the accumulation quarter (by color), but the order is not fixed and instead of AMDX may appear as XAMD, where Q1 is the Reversal/Continuation quarter. We may eventually offer an update to this indicator which would automatically transpose the quarter colors for you.
The Quarters
Yearly:
• Q1 - Jan, Feb, Mar
• Q2 - Apr, May, Jun
• Q3 - Jul, Aug, Sep
• Q4 - Oct, Nov, Dec
Monthly (starts with the first month’s Monday regardless of the date):
• Q1 - Week 1, first Monday of the month
• Q2 - Week 2, second Monday of the month
• Q3 - Week 3, third Monday of the month
• Q4 - Week 4, fourth Monday of the month
Weekly (Daye ignores Friday and Sunday’s price action):
• Q1 - Mon
• Q2 - Tue
• Q3 - Wed
• Q4 - Thu
Daily (times are all EST / New York):
• Q1 - 18:00 - 00:00 Asia
• Q2 - 00:00 - 06:00 London
• Q3 - 06:00 - 12:00 NY AM
• Q4 - 12:00 - 18:00 NY PM
90 Minute:
• Q1 - 18:00 - 19:30
• Q2 - 19:30 - 21:00
• Q3 - 21:00 - 22:30
• Q4 - 22:30 - 00:00
Micro (22.5 minute quarters, DQT only displays Micros on 7 minute TF or lower)
• Q1 - 18:00 - 18:22:30
• Q2 - 18:22:30 - 18:45
• Q3 - 18:45 - 19:07:30
• Q4 - 19:07:30 - 19:30
About the DQT Indicator
This indicator plots the quarterly time boxes in a panel which can be placed above or below your chart. It allows you to add labels with the opening time and dates and also place time of day markers which can be useful for anyone who wants to mark lunch, and of the trading day or perhaps a favorite ICT macro time. It also works on GOLD (CAPITALCOM), DXY (TVC), currencies and stocks in Regular Trading Hour (RTH) mode.
Note the way that the indicator displays quarters is affected by the time frame you are viewing and as a result you may notice imperfections. Also, the indicator is not tuned to work with every broker, so for example with DXY, you will see the TVC feed is displayed nicely but other feeds are not.
Settings
The DQT indicator offers a great deal of flexibility to customize the display of quarters aesthetically. But it’s designed to work out-of-the-box on both light and dark background charts. It's set up to only show 90 minute and micro quarters initially, but in the settings, you can turn on the daily, weekly, monthly, and yearly quarters. Remember you will only see the Micros on the 7 minute TF or lower.
Lastly, the DQT indicator works well with our DOB indicator allowing you to visualize the confluence of high timeframe PDAs or POIs with manipulation quarters.
If you find our indicators useful, please boost, comment and share -- it's very motivational for us to develop them further and publish new ones!
chrono_utilsLibrary "chrono_utils"
📝 Description
Collection of objects and common functions that are related to datetime windows session days and time ranges. The main purpose of this library is to handle time-related functionality and make it easy to reason about a future bar checking if it will be part of a predefined session and/or inside a datetime window. All existing session functionality I found in the documentation e.g. "not na(time(timeframe, session, timezone))" are not suitable for strategy scripts, since the execution of the orders is delayed by one bar, due to the script execution happening at the bar close. Moreover, a history operator with a negative value that looks forward is not allowed in any pinescript expression. So, a prediction for the next bar using the bars_back argument of "time()"" and "time_close()" was necessary. Thus, I created this library to overcome this small but very important limitation. In the meantime, I added useful functionality to handle session-based behavior. An interesting utility that emerged from this development is data anomaly detection where a comparison between the prediction and the actual value is happening. If those two values are different then a data inconsistency happens between the prediction bar and the actual bar (probably due to a holiday, half session day, a timezone change etc..)
🤔 How to Guide
To use the functionality this library provides in your script you have to import it first!
Copy the import statement of the latest release by pressing the copy button below and then paste it into your script. Give a short name to this library so you can refer to it later on. The import statement should look like this:
import jason5480/chrono_utils/2 as chr
To check if a future bar will be inside a window first of all you have to initialize a DateTimeWindow object.
A code example is the following:
var dateTimeWindow = chr.DateTimeWindow.new().init(fromDateTime = timestamp('01 Jan 2023 00:00'), toDateTime = timestamp('01 Jan 2024 00:00'))
Then you have to "ask" the dateTimeWindow if the future bar defined by an offset (default is 1 that corresponds th the next bar), will be inside that window:
// Filter bars outside of the datetime window
bool dateFilterApproval = dateTimeWindow.is_bar_included()
You can visualize the result by drawing the background of the bars that are outside the given window:
bgcolor(color = dateFilterApproval ? na : color.new(color.fuchsia, 90), offset = 1, title = 'Datetime Window Filter')
In the same way, you can "ask" the Session if the future bar defined by an offset it will be inside that session.
First of all, you should initialize a Session object.
A code example is the following:
var sess = chr.Session.new().from_sess_string(sess = '0800-1700:23456', refTimezone = 'UTC')
Then check if the given bar defined by the offset (default is 1 that corresponds th the next bar), will be inside the session like that:
// Filter bars outside the sessions
bool sessionFilterApproval = view.sess.is_bar_included()
You can visualize the result by drawing the background of the bars that are outside the given session:
bgcolor(color = sessionFilterApproval ? na : color.new(color.red, 90), offset = 1, title = 'Session Filter')
In case you want to visualize multiple session ranges you can create a SessionView object like that:
var view = SessionView.new().init(SessionDays.new().from_sess_string('2345'), array.from(SessionTimeRange.new().from_sess_string('0800-1600'), SessionTimeRange.new().from_sess_string('1300-2200')), array.from('London', 'New York'), array.from(color.blue, color.orange))
and then call the draw method of the SessionView object like that:
view.draw()
🏋️♂️ Please refer to the "EXAMPLE DATETIME WINDOW FILTER" and "EXAMPLE SESSION FILTER" regions of the script for more advanced code examples of how to utilize the full potential of this library, including user input settings and advanced visualization!
⚠️ Caveats
As I mentioned in the description there are some cases that the prediction of the next bar is not accurate. A wrong prediction will affect the outcome of the filtering. The main reasons this could happen are the following:
Public holidays when the market is closed
Half trading days usually before public holidays
Change in the daylight saving time (DST)
A data anomaly of the chart, where there are missing and/or inconsistent data.
A bug in this library (Please report by PM sending the symbol, timeframe, and settings)
Special thanks to @robbatt and @skinra for the constructive feedback 🏆. Without them, the exposed API of this library would be very lengthy and complicated to use. Thanks to them, now the user of this library will be able to get the most, with only a few lines of code!
ATH Drawdown Indicator by Atilla YurtsevenThe ATH (All-Time High) Drawdown Indicator, developed by Atilla Yurtseven, is an essential tool for traders and investors who seek to understand the current price position in relation to historical peaks. This indicator is especially useful in volatile markets like cryptocurrencies and stocks, offering insights into potential buy or sell opportunities based on historical price action.
This indicator is suitable for long-term investors. It shows the average value loss of a price. However, it's important to remember that this indicator only displays statistics based on past price movements. The price of a stock can remain cheap for many years.
1. Utility of the Indicator:
The ATH Drawdown Indicator provides a clear view of how far the current price is from its all-time high. This is particularly beneficial in assessing the magnitude of a pullback or retracement from peak levels. By understanding these levels, traders can gauge market sentiment and make informed decisions about entry and exit points.
2. Risk Management:
This indicator aids in risk management by highlighting significant drawdowns from the ATH. Traders can use this information to adjust their position sizes or set stop-loss orders more effectively. For instance, entering trades when the price is significantly below the ATH could indicate a higher potential for recovery, while a minimal drawdown from the ATH may suggest caution due to potential overvaluation.
3. Indicator Functionality:
The indicator calculates the percentage drawdown from the ATH for each trading period. It can display this data either as a line graph or overlaid on candles, based on user preference. Horizontal lines at -25%, -50%, -75%, and -100% drawdown levels offer quick visual cues for significant price levels. The color-coding of candles further aids in visualizing bullish or bearish trends in the context of ATH drawdowns.
4. ATH Level Indicator (0 Level):
A unique feature of this indicator is the 0 level, which signifies that the price is currently at its all-time high. This level is a critical reference point for understanding the market's peak performance.
5. Mean Line Indicator:
Additionally, this indicator includes a 'Mean Line', representing the average percentage drawdown from the ATH. This average is calculated over more than a thousand past bars, leveraging the law of large numbers to provide a reliable mean value. This mean line is instrumental in understanding the typical market behavior in relation to the ATH.
Disclaimer:
Please note that this ATH Drawdown Indicator by Atilla Yurtseven is provided as an open-source tool for educational purposes only. It should not be construed as investment advice. Users should conduct their own research and consult a financial advisor before making any investment decisions. The creator of this indicator bears no responsibility for any trading losses incurred using this tool.
Please remember to follow and comment!
Trade smart, stay safe
Atilla Yurtseven
