SP 500 PE Ratio (Loose Date Match)📈 **S&P 500 PE Ratio (from Excel Data)**
This custom indicator visualizes the historical S&P 500 Price-to-Earnings (PE) Ratio loaded from Excel. Each data point represents a snapshot of the market valuation at a specific time, typically on an annual or quarterly basis.
🔹 **What it does:**
- Plots the PE ratio values on the chart aligned with historical dates
- Uses stepwise or linear rendering to account for missing trading days
- Helps identify valuation cycles and extremes (e.g., overvalued vs undervalued)
🔍 **Use case:**
- Long-term market analysis
- Compare PE trends with price performance
- Spot long-term entry/exit zones based on valuation
🛠️ Future plans:
- Add value zone highlighting (e.g., PE > 30 = red, PE < 15 = green)
- Support for dynamic datasets (via Google Sheets or Notion)
Category: `Breadth indicators`, `Cycles`
💡 Source: Manually imported data (can be replaced with any custom macro data series)
"Cycle"に関するスクリプトを検索
RP - Realized Price for Bitcoin (BTC) [Logue]Realized Price (RP) - The RP is summation of the value of each BTC when it last moved divided by the total number of BTC in circulation. This gives an estimation of the average "purchase" price of BTC on the bitcoin network based on when it was last transacted. This indicator tells us if the average network participant is in a state of profit or loss. This indicator is normally used to detect BTC bottoms, but an extension can be used to detect when the bitcoin network is "highly" overvalued. Because the "strength" of the BTC tops has decreased over the cycles, a logarithmic function for the extension was created by fitting past cycles as log extension = slope * time + intercept. This indicator triggers when the BTC price is above the realized price extension. For the bottoms, the RP is shifted downwards at a default value of 80%. The slope, intercept, and RP bottom shift can all be modified in the script.
Fisher Cycle Adaptive, Fisher Transform [loxx]Fisher Cycle Adaptive, Fisher Transform
Things to know
-Experimental, not to be used in trading
Calculation
-Uses a measurement where the dominant, raw Fisher Transform position is measured and then used as the length input for the next bar
-This is based on raw recursive look backs, not based on any sine wave or signal processing measure of cycle dominance
How to use
-Change from Fixed to Fisher Cycle, adjust the wave cycle percent look back %
Features
-Bar coloring
-Thresholds
FFTLibraryLibrary "FFTLibrary" contains a function for performing Fast Fourier Transform (FFT) along with a few helper functions. In general, FFT is defined for complex inputs and outputs. The real and imaginary parts of formally complex data are treated as separate arrays (denoted as x and y). For real-valued data, the array of imaginary parts should be filled with zeros.
FFT function
fft(x, y, dir) : Computes the one-dimensional discrete Fourier transform using an in-place complex-to-complex FFT algorithm . Note: The transform also produces a mirror copy of the frequency components, which correspond to the signal's negative frequencies.
Parameters:
x : float array, real part of the data, array size must be a power of 2
y : float array, imaginary part of the data, array size must be the same as x ; for real-valued input, y must be an array of zeros
dir : string, options = , defines the direction of the transform: forward" (time-to-frequency) or inverse (frequency-to-time)
Returns: x, y : tuple (float array, float array), real and imaginary parts of the transformed data (original x and y are changed on output)
Helper functions
fftPower(x, y) : Helper function that computes the power of each frequency component (in other words, Fourier amplitudes squared).
Parameters:
x : float array, real part of the Fourier amplitudes
y : float array, imaginary part of the Fourier amplitudes
Returns: power : float array of the same length as x and y , Fourier amplitudes squared
fftFreq(N) : Helper function that returns the FFT sample frequencies defined in cycles per timeframe unit. For example, if the timeframe is 5m, the frequencies are in cycles/(5 minutes).
Parameters:
N : int, window length (number of points in the transformed dataset)
Returns: freq : float array of N, contains the sample frequencies (with zero at the start).
[blackcat] L2 Ehlers Correlation CycleLevel: 2
Background
John F. Ehlers introuced Correlation Cycle indicator in Jun, 2020.
Function
In his article “Correlation As A Cycle Indicator” in Jun, 2020, John Ehlers introduces a companion to the trend indicator he presented in his article. This new indicator is designed to help traders navigate cycling markets. The new cycle indicator can help the trader get into trades earlier and have better insight into prevailing market conditions. While his correlation trend indicator measures the price correlation with a rising slope, the new correlation cycle indicator (CCY) measures the correlation with a sine wave.The new system trades only when the market state is 1 or -1, indicating trend regime. It goes out of the market when the market state is 0.
Key Signal
State --> +1 for long and -1 for short
Pros and Cons
100% John F. Ehlers definition translation, even variable names are the same. This help readers who would like to use pine to read his book.
Remarks
The 96th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
[blackcat] L2 Ehlers Sine Wave Coupled Eight Planetary CycleLevel: 2
Background
Have you considered that factors outside the Earth will be related to macro market trends? Let’s discuss the relationship between the planetary movement in the Galaxy and the market movement on Earth today! Although I said that, you may have laughed out in front of the screen, but the calculations in this script are entirely based on astronomical data and mathematical relationships.
Your next question may be why you compare the movements of the eight planets and the laws of the market on the earth together? My answer comes from a Cybernetic Sine Wave indicator proposed by Dr. John F. Ehlers.
Function
L2 Ehlers Sine Wave Coupled Eight Planetary Cycle first converts the astronomical data of the eight major planets into planetary aspects/phases through mathematical relationships. Planetary aspects/phases can provide the historical and current relative positions of each planet in the mathematical triangle relationship. We can use a simple mathematical sine formula to constrain the planet's trajectory between -1 and 1, which is what we often call a sine wave.
The relationship between the sine wave and the market can be extracted from the theory of John F. Ehlers. In Ehlers' theory, market price can be modeled by the trend and cycle modes. And in his works, there are many indicators of how to completely remove the trend in the market price and only leave the cycle mode data. The Cybernetic Sine Wave indicator is exactly the cycle mode data after the market trend is stripped, and expressed in the form of a sine wave.
If you can read to here with patience, you must also be aware of the premise that the trajectories of the eight planets and the laws of the earth market can be coupled: the trajectory of the sine wave mode. Therefore, this indicator is a tool for comparing and analyzing the two in the same chart. I hope you like it.
Finally, in order to benchmark the trajectories of the eight planets and the specific market on the earth, a starting point in time is particularly important. This is the base date of the market index to be analyzed. It is the year, month, and day data specified by the index, which needs to be input by the user when analyzing a specific stock index. For example, the base date of the S&P 500 index is January 3, 1928. This date needs to be entered into the indicator to analyze the SPX500.
Key Signal
Mercury_trail ---> smoothed Mercury orbit sine wave
Venus_trail ---> smoothed Venus orbit sine wave
Earth_trail ---> smoothed Earth orbit sine wave
Earth_mirror ---> smoothed Earth mirrored orbit sine wave
Mars_trail ---> smoothed Mars orbit sine wave
Jupiter_trail ---> smoothed Jupiter orbit sine wave
Saturn_trail ---> smoothed Saturn orbit sine wave
Uranus_trail ---> smoothed Uranus orbit sine wave
Neptune_trail ---> smoothed Neptune orbit sine wave
Aspect 0, 45, 90, 225, 270 deg ---> key planet aspects
ehlersine ---> Ehlers Cybernetic Sine Wave
ehlerslsine ---> Ehlers Cybernetic Lead Sine Wave
Pros and Cons
This is a technical indicator that I have come up with on a whim, and the laws of planetary operation and the operation of the Earth market are still being explored. Hope that interested friends will share your new discoveries.
Remarks
To celebrate I released the 50th technical indicator script on TV!
Courtesy of @sal157011 John Ehlers "Cybernetic Sine Wave" indicator, I converted it from pine v2 to pine v4 in this script.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Narrow Bandpass FilterIn technical analysis most bandpass filters like the MACD, TRIX, AO, or COG will have a non-symmetrical frequency response, in fact, this one is generally right-skewed. As such these oscillators will not fully remove lower and higher frequency components from the input signal, the following indicator is a bandpass filter with a more symmetrical frequency response with the possibility to have a narrow bandwidth, this allows the indicator to potentially isolate sinusoids from the input signal.
Indicator & Settings
The filter is calculated via convolution, if we take into account that the frequency response of a filter is the Fourier transform of its weighting function we can deduce that we can get a narrow response by using a sinusoid sin(2𝛑nf) as the weighting function, with the peak of the frequency response being equal to f , this makes the filter quite easy to control by the user, as this one can choose the frequency to be isolated. The length of the weighting function controls the bandwidth of the frequency response, with a higher length returning an ever-smaller frequency response width.
In the indicator settings the "Cycle Period" determine the period of the sinusoid used as a weighting function, while "Bandwidth" determine the filter passband width, with higher values returning a narrower passband, this setting also determine the length of the convolution, because the sum of the weights must add to 0 we know that the length of the convolution must be a multiple of "Cycle Period", so the length of the convolution is equal to "Cycle Period × Bandwidth".
Finally, the windowing option determines if a window is applied to the weighting function, a weighting function allow to remove ripples in the filter frequency response
Above both indicators have a Cycle period of 100 and a Bandwidth of 4, we can see that the indicator with no windowing don't fully remove the trend component in the price, this is due to the presence of ripples allowing lower frequency components to pass, this is not the case for the windowed version.
In theory, an ultra-narrow passband would allow to fully isolate pure sinusoids, below the cycle period of interest is 20
using a bandwidth equal to 10 allow to retain that sinusoid, however, note that this sinusoid is subject to phase shift and that it might not be a dominant frequency in the price.
Envelope BTMStudi cicli? Questo fa per te, le bande che altro non sono due medie mobili, tengono il prezzo alle due estremità (in alto e in basso).
Questo ti farà semplicemente analizzare e tenere traccia i cicli dello strumento in questione.
Do you study cycles? This is for you, the bands, formed by two moving averages, keep the price between the two ends (top and bottom).
This will simply cause you to analyze and track the cycles of price in question.
BurgerCrypto.com: MA based band for bitcoin cycle highs&lowsWarning: This script works only on a daily chart and only works for bitcoin charts with a long history. Best to be used on the BLX chart as it goes back to July 2010.
This script shows you the Moving Average with the length of a full bitcoin cycle, in which a cycle is defined as a period between two reward halvings; i.e. 210.000 blocks.
After data analysis in Python, I found that the average inter arrival time is a bit lower than the often communicated 10minutes; it's 9.46minutes, which makes the 210.000 block interval equal to 1379days.
The 1379d Moving Average seems to serve well as a support for the price of bitcoin over time and it's 4th 2^n multiple did a good job in catching the cycle tops.
If you like this indicator, please leave some claps for the Medium article in which I introduced this indicator:
medium.com
Schaff Trend Cycle 1.1 with signal codingThis is an edit of Lazy Bear's Schaff Trend Cycle original description here. I've added in the syntax so that you can generate an alert when it crosses the threshold in either direction. Just tick the box to show threshold crosses.
More background on the indicator is here.
www.investopedia.com
Other common settings are fast 23 slow 53 or 10/30, 3/10. I have also set it to 9/20 for test purposes. They have different pluses and minuses on different timeframes.
@Complete Squeeze Cycle Detector v2.0 FINALDescription:
The Complete Squeeze Cycle Detector identifies and tracks the full lifecycle of squeeze formations, from pre-squeeze consolidation through active squeeze periods to squeeze completion. The indicator systematically detects the characteristic conditions that precede and accompany squeeze events.
The indicator monitors multiple factors associated with squeeze development including:
• Volatility compression relative to recent volume activity
• Elevated market stress conditions as measured by VIX levels
• Momentum compression through rate of change measurements across multiple time periods
• Alignment of multiple exponential moving averages indicating consolidation
The squeeze cycle is classified into three distinct phases: Pre-Squeeze Setup, Active Squeeze, and Squeeze Complete. Each phase is identified based on threshold levels of multiple compression metrics, with adjustable sensitivity settings to control the strictness of detection.
The indicator provides visual identification of each phase through labels, background coloring, and an optional dashboard, allowing users to distinguish between the preparation phase where volatility contracts, the active squeeze phase where compression reaches critical levels, and the completion phase where the squeeze releases and directional movement resumes.
This systematic approach enables users to identify squeeze formations throughout their complete development cycle rather than focusing only on the breakout phase.
Hurst Cycle Channel Clone %BA %B of lazy bears Hurst Cycle Channel Clone
Remember to thank him for his great scripts.
With this you can easily see when the close is above,below or in the short or medium cycle channel.
Adaptive Zero Lag EMA Strategy [Ehlers + Ric]Behold! A strategy that makes use of Ehlers research into the field of signal processing and wins so consistently, on multiple time frames AND on multiple currency pairs.
The Adaptive Zero Lag EMA (AZLEMA) is based on an informative report by Ehlers and Ric .
I've modified it by using Cosine IFM, a method by Ehlers on determining the dominant cycle period without using fast-Fourier transforms
Instead, we use some basic differential equations that are simplified to approximate the cycle period over a 100 bar sample size.
The settings for this strategy allow you to scalp or swing trade! High versatility!
Since this strategy is frequency based, you can run it on any timeframe (M1 is untested) and even have the option of using adaptive settings for a best-fit.
>Settings
Source : Choose the value for calculations (close, open, high + low / 2, etc...)
Period : Choose the dominant cycle for the ZLEMA (typically under 100)
Adaptive? : Allow the strategy to continuously update the Period for you (disables Period setting)
Gain Limit : Higher = faster response. Lower = smoother response. See for more information.
Threshold : Provides a bit more control over entering a trade. Lower = less selective. Higher = More selective. (range from 0 to 1)
SL Points : Stop Poss level in points (10 points = 1 pip)
TP Points : Take Profit level in points
Risk : Percent of current balance to risk on each trade (0.01 = 1%)
www.mesasoftware.com
www.jamesgoulding.com(Measuring%20Cycles).doc
In-Phase & Quadrature IFMThis indicator provides a continuous measurement of a securities' dominant cycle period, based on Ehlers ever-impressive reports and analysis tools.
This method uses in-phase and quadrature analysis, making use of the imaginary domain. This method is prone to favor longer periods and can
allow noise to greatly affect the end result.
>What does that even mean?
Essentially, you get a real-time (low lag) plot of the cycle period in bars. If the I-Q IFM reads "16" then you can expect the distance between swing highs and swing lows to be approx. 16 bars.
>How is this useful?
When you throw an RSI or MACD on your chart, you can now set the "Period" or "Length" value with confidence.
Knowing the dominant cycle period tells you that price reversal will occur around these intervals.
>Extending.
The better way to use this tool is by extending the script into any indicators that use a length or period that is set manually.
Simply use the "len" variable in your custom script to replace your input values.
Now you have a way to adaptively set the period value, using signal processing theory instead of just intuition ;)
PM if you have questions.
Cosine IFM [Ehlers]This indicator provides a continuous measurement of a securities' dominant cycle period, based on Ehlers ever-impressive reports and analysis tools.
>What does that even mean?
Essentially, you get a real-time (low lag) plot of the cycle period in bars. If the COS IFM reads "16" then you can expect the distance between swing highs and swing lows to be approx. 16 bars.
>How is this useful?
When you throw an RSI or MACD on your chart, you can now set the "Period" or "Length" value with confidence.
Knowing the dominant cycle period tells you that price reversal will occur around these intervals.
>Extending.
The better way to use this tool is by extending the script into any indicators that use a length or period that is set manually.
Simply use the "len" variable in your custom script to replace your input values.
Now you have a way to adaptively set the period value, using signal processing theory instead of just intuition ;)
PM if you have questions.
NY Session Bar Counter & Bar painterThe NY Session Bar Counter is a high-visibility technical utility that provides an automated, sequential count of every candle during the New York session (09:30 to 16:00 EST). Unlike standard session highlighters, this tool numbers each bar starting from the market open, allowing traders to identify specific "time-of-day" windows with surgical precision.
This script is specifically engineered for traders who follow setups based on specific bar numbers (e.g., the Bar 17 reversal, the Bar 36 lunch-power-hour, or the final EOD flush).
🚀 Key Features
Precision Timing: Automatically resets every day at 09:30 AM New York time, regardless of your local timezone settings.
Multi-Timeframe Logic: Optimized to work seamlessly on 1m, 5m, 15m, and 30m charts without breaking the daily count.
Historical & Replay Compatibility: Unlike many session tools, this script is fully compatible with Bar Replay and displays historical data across several days (up to 500 labels).
Special Bar Highlighting: Includes a "Paint Bar" feature that allows you to choose a specific bar number (e.g., Bar 17) and automatically color the candle body for instant visual recognition.
Customizable Display: Filter for Odd/Even numbers to reduce chart clutter and adjust font size, color, and position (Above/Below bar).
💡 Why It Is Useful
In the modern trading environment, the market moves in cycles of liquidity and volatility that are often tied to specific times. This script is useful because:
Standardization: It provides a common language for traders. Instead of saying "the 10:50 AM candle," traders can refer to "Bar 17" (on a 5m chart), which is faster and more consistent.
Backtesting Accuracy: When reviewing past days or using Bar Replay, you can easily identify if your strategy triggers at the same relative time every day.
Visual Discipline: By highlighting a "Target Bar," you can train your eyes to wait for specific time windows before looking for a setup, helping to prevent overtrading during low-probability hours.
Operational Efficiency: It removes the manual work of counting bars from the open, allowing you to focus entirely on price action and order flow.
How to Use
Install the script on any intraday timeframe (best on 5m or 15m).
Adjust Lookback: Use the settings to determine how many historical days you want to view.
Identify Patterns: Use the "Special Bar Highlight" to mark the bar where your strategy most frequently triggers.
Trend & Pullback Cycle How to use.
Trend Identification:
Green Columns: The cycle is above 50. Look for Longs.
Red Columns: The cycle is below 50. Look for Shorts.
Pullback Detection:
I added a Colour Change feature. If the Green bars turn Dark Green, it means momentum is fading (a pullback is happening). This is your signal to get ready to enter or add to a position once it turns Bright Green again.
The Yellow Line:
This is your trigger. In the screenshot, you see the bars cross the yellow line.
Entry Signal: When the Histogram crosses above the Yellow line (while generally green) or crosses below it (while generally red).
NIFTY, SENSEX AND BANKNIFTY Options Expiry MarkerNSE Options Expiry Background Marker
Category: Date/Time Indicators
Timeframe: Daily
Markets: NSE (India) / Any Exchange
Description
Automatically highlights weekly and monthly options expiry days for NIFTY, BANKNIFTY, and SENSEX using color-coded background shading. Works across entire chart history with customizable transparency levels.
Key Features
✅ Background Highlighting - Non-intrusive color shading on expiry days
✅ Multi-Index Support - NIFTY, BANKNIFTY, and SENSEX simultaneously
✅ Weekly & Monthly Expiry - Different transparency levels for easy distinction
✅ Customizable Expiry Days - Set any weekday (Mon-Fri) as expiry day
✅ Adjustable Transparency - Separate controls for weekly and monthly expiries
✅ Full Historical Data - Works on all visible bars across years
✅ Smart Monthly Detection - Automatically identifies last occurrence in month
✅ Color Coded - Blue (NIFTY), Red (BANKNIFTY), Green (SENSEX)
Use Cases
Options trading strategy planning
Identify expiry day volatility patterns
Visual reference for monthly vs weekly cycles
Backtest strategies around expiry days
Track multiple index expiries on single chart
Technical Details
Uses India timezone (GMT+5:30) for accurate date calculations
Handles leap years automatically
Smart algorithm identifies last weekday occurrence per month
Works seamlessly on any chart timeframe (optimized for Daily)
No performance impact - simple background coloring
Systemic Net Liquidity (Macro Fuel for Crypto & Stocks)This indicator tracks Systemic Net Liquidity, the single most important macro factor for determining the long-term trend of risk assets like Bitcoin (BTC) and major indices (S&P 500). It measures the amount of actual cash available in the financial system to chase speculative assets, distinguishing between money that is circulating and money that is locked up at the Federal Reserve.
Mechanism (What It Measures)
The script uses direct data from the FRED (Federal Reserve Economic Data) to calculate the true state of market funding:
\text{Net Liquidity} = \text{Fed Assets (WALCL)} - \text{Treasury General Account (TGA)} - \text{Reverse Repo (RRP)}
1. Fed Assets (WALCL): The total balance sheet of the Fed (The overall supply of money).
2. Treasury General Account (TGA): Funds the US Treasury collects via bond issuance. When the TGA rises, liquidity is actively drained from the banking system (A major bearish pressure).
3. Overnight Reverse Repo (RRP): Cash parked by banks and money market funds at the Fed, effectively frozen and not contributing to market activity.
How to Interpret Signals
Treat the Net Liquidity line as the market's "Fuel Gauge":
📈 BULLISH SIGNAL (Liquidity Injection): When the Net Liquidity line is rising, money is flowing back into the system, signalling a tailwind for risk assets.
📉 BEARISH SIGNAL (Liquidity Drain): When the line is falling (often due to high TGA balances), cash is being removed. This signals major friction and pressure on price action.
⚠️ DIVERGENCE WARNING: A strong signal is generated when Price (e.g., BTC) rises, but Net Liquidity falls. This macro divergence strongly suggests a major trend reversal or correction is imminent.
Important Notes
Data Source: Data is directly sourced from FRED and updates daily/weekly. This tool is best used for macro analysis and identifying high-level cycles, not short-term scalping.
Disclaimer: Use this indicator as a confirmation tool within your broader strategy. It is not a standalone trading signal.
DRACO Tomas Delta (Custom/Monthly)🐉 DRACO Delta SessionBox (Custom / Monthly)
Overview
The DRACO Delta SessionBox is an advanced visual and analytical tool designed to measure and display cumulative buying and selling pressure (Δ — delta) within a user-defined time window, such as a specific custom date range, a recurring monthly period, or the entire current month.
It visually represents market accumulation or distribution phases by calculating an approximate delta — the imbalance between bullish and bearish volume — and then aggregates it inside a dynamic “box” that spans only the selected time window.
Core Concept
Delta in this context is an approximation of the real order-flow delta (buy vs sell volume difference).
Since TradingView doesn’t provide raw tick-by-tick trade direction data, this indicator uses a proxy formula based on OHLC and volume data:
Δ per bar
=
Volume
×
(
Close
−
Open
)
max
(
High
−
Low
,
Tick Size
)
Δ per bar=Volume×
max(High−Low,Tick Size)
(Close−Open)
This gives a very effective approximation of intrabar directional pressure — whether volume was dominated by buyers (Δ > 0) or sellers (Δ < 0).
Modes
The indicator can operate in three distinct modes:
🕒 Custom DateTime
The user manually sets an exact date & time range (From – To).
The box only measures delta and volume accumulation within this window.
Ideal for analyzing specific events, like FOMC weeks, quarterly earnings, or macro periods.
📆 Monthly Window
The user selects start and end days of the month (e.g. 5–20).
The same window repeats automatically every month.
Useful for identifying recurring accumulation or distribution cycles within months.
🧭 Whole Month
Automatically measures and visualizes delta for the entire current calendar month.
The box resets when a new month begins.
Provides a macro-level view of monthly directional bias.
Indian Gold Festival Dates HistoricalIndian Gold Festival Dates (1975-2025)
Marks 8 major Indian festivals associated with gold buying over 50 years of historical data. Essential for analyzing seasonal patterns and cultural demand cycles in gold markets.
Festivals Included:
Dhanteras (Gold) - Most auspicious gold buying day
Diwali (Orange) - Festival of Lights
Akshaya Tritiya (Green) - "Never-ending" prosperity
Dussehra (Red) - Victory and success
Makar Sankranti (Cyan) - Solar new year
Gudi Padwa (Magenta) - Hindu New Year (Maharashtra)
Ugadi (Purple) - Hindu New Year (South India)
Navratri (Yellow) - 9-day festival
Features:
✓ 408 exact historical dates (1975-2025)
✓ Color-coded vertical lines for easy identification
✓ Toggle individual festivals on/off
✓ Adjustable line width and labels
✓ Works on all timeframes (best on daily/weekly)
Perfect for traders analyzing gold seasonality, Indian market sentiment, and cultural demand patterns. Use on XAUUSD, GC1!, or Indian gold futures.
US30 Quarter Levels (125-point grid) by FxMogul🟦 US30 Quarter Levels — Trade the Index Like the Banks
Discover the Dow’s hidden rhythm.
This indicator reveals the institutional quarter levels that govern US30 — spaced every 125 points, e.g. 45125, 45250, 45375, 45500, 45625, 45750, 45875, 46000, and so on.
These are the liquidity magnets and reaction zones where smart money executes — now visualized directly on your chart.
💼 Why You Need It
See institutional precision: The Dow respects 125-point cycles — this tool exposes them.
Catch reversals before retail sees them: Every impulse and retracement begins at one of these zones.
Build confluence instantly: Perfectly aligns with your FVGs, OBs, and session highs/lows.
Trade like a professional: Turn chaos into structure, and randomness into rhythm.
⚙️ Key Features
Automatically plots US30 quarter levels (…125 / …250 / …375 / …500 / …625 / …750 / …875 / …000).
Color-coded hierarchy:
🟨 xx000 / xx500 → major institutional levels
⚪ xx250 / xx750 → medium-impact levels
⚫ xx125 / xx375 / xx625 / xx875 → intraday liquidity pockets
Customizable window size, label spacing, and line extensions.
Works across all timeframes — from 1-minute scalps to 4-hour macro swings.
Optimized for clean visualization with no clutter.
🎯 How to Use It
Identify liquidity sweeps: Smart money hunts stops at these quarter zones.
Align structure: Combine with session opens, order blocks, or FVGs.
Set precision entries & exits: Trade reaction-to-reaction with tight risk.
Plan daily bias: Watch how New York respects these 125-point increments.
🧭 Designed For
Scalpers, day traders, and swing traders who understand that US30 doesn’t move randomly — it moves rhythmically.
Perfect for traders using ICT, SMC, or liquidity-based frameworks.
⚡ Creator’s Note
“Every 125 points, the Dow breathes. Every 1000, it shifts direction.
Once you see the rhythm, you’ll never unsee it.”
— FxMogul
MTF FVG Confluence v6 — JSON Alerts via alert()This strategy combines multi-timeframe confluence with candlestick analysis and fair value gaps (FVGs) to generate structured long/short entries. It aligns Daily and 4H EMA trends with 1H MACD momentum, then confirms with engulfing candles and FVG zones for precision entries. Risk management is built-in, featuring stop-loss, 3R take-profit targets, and optional break-even logic, with dynamic JSON alerts for webhook automation.
Categories:
Candlestick analysis
Chart patterns
Cycles
