TBL HTF Highs&LowsThis script plots the previous Daily, Weekly, and Monthly High and Low levels directly on your chart, helping you identify key higher-timeframe support and resistance zones.
Features:
Daily, Weekly, Monthly Lines: Toggle visibility for each timeframe's high/low levels.
Customization Options:
Choose color, style (Solid, Dashed, Dotted), width, and transparency for each line type.
Automatic Updates: Lines update at the start of each new session (day, week, or month).
Summary Table: Displays the latest Pre-Daily High/Low (PDH/PDL), Pre-Weekly High/Low (PWH/PWL), and Pre-Monthly High/Low (PMH/PML) in the top-right corner of the chart.
Configurable Table Font Size: Choose between Tiny, Small, Medium, or Large text.
Use Case:
Ideal for traders who rely on key higher-timeframe levels for confluence, breakout trading, or mean-reversion strategies. The visual lines and summary table provide instant context without cluttering your chart.
Wskaźniki i strategie
Market Arterial PressureIndicator Description: Pulse-Market – Market Blood Pressure
"I slept and had a dream."
In that dream, I wore a white lab coat and shiny black pointed shoes. I felt like a doctor—not of traditional medicine, but of the financial market itself. My mission was clear: to measure the market's blood pressure and diagnose its health.
With this vision, I decided to turn the dream into code. Thus, Pulse-Market was born: an indicator designed to listen to the heartbeat of the blockchain, capturing signs of vitality or collapse, and anticipating the pulse of the next trend.
But the journey did not stop there. At the core of this creation, I incorporated a profound theory: the cycle of existence — Alpha, Beta, and Omega — concepts that resonate both in science and sacred scriptures.
Alpha (α) represents the beginning: the primary impulse, the market's accelerated pulse.
Beta (β) symbolizes the middle: the vital rhythm, the stabilizing cadence of prices.
Omega (Ω) indicates the end: structural collapse, the exhaustion of a cycle.
This logical and symbolic triad forms the foundation of Pulse-Market — the beginning, middle, and end of every market cycle.
How to Use the Indicator
Pulse-Market works as a dynamic oscillator composed of three main forces:
Alpha Pulse (α)
Measures recent price acceleration. The stronger the pulse, the more intense the market movement.
Beta Rhythm (β)
Controls the smoothing of the price rhythm and can be adjusted in four modes:
Fast – quick reactions with more sensitivity
Normal – standard smoothing (simple moving average)
Slow – slow and consistent movements
Accelerated – Hull method: reactive and smooth
Omega Collapse (Ω)
Combines entropy and reversals to detect structural collapses where the market may be losing strength.
Visual Interpretation
Green line above zero: healthy pulse, buying pressure in control.
Red line below zero: strong selling pressure, possible exhaustion.
Crossing the zero line: potential trend reversal.
Settings and Customization
In the indicator settings panel, you can calibrate the pressure reading sensitivity:
Systolic Pressure (α): controls the reaction to rapid price impulses.
Increase to highlight aggressive moves; decrease to smooth spikes.
Diastolic Pressure (β): regulates the importance of the underlying rhythm.
Increase for smooth trends; decrease for quicker responses.
Pulse Pressure (Ω): sensitivity to structural collapses and volatility.
Increase to detect reversals; decrease to ignore market noise.
Practical Applications
Confirm entry and exit signals based on the balance between Alpha and Omega.
Adjust the indicator to your trading style: scalper, day trader, or swing trader.
Use on any asset: cryptocurrencies, stocks, indices, forex.
Integrated Philosophy
We live limited by time and matter, but markets, like life, follow natural cycles: they are born, mature, collapse, and are reborn.
Pulse-Market is not just a technical indicator — it is a spiritual and analytical stethoscope that listens to the heartbeat of volatility and tries to anticipate what the eyes cannot see, but time always reveals.
Original Creator
This indicator was created by Canhoto-Medium, the sole inventor and namer of this tool. As long as time goes on, no other indicator will exist with this essence or name.
Volume-Time Imbalance (VTI)Volume-Time Imbalance (VTI) – Indicator Description
This indicator measures the imbalance between traded volume and the time elapsed between bars to identify unusual spikes in volume per second (volume per unit of time). Its purpose is to highlight volume movements that may indicate moments of strong interest, acceleration, or reversal in the market.
How it works:
It calculates the traded volume divided by the time (in seconds) elapsed since the previous bar — thus obtaining the volume per second.
An EMA (exponential moving average) of this volume per second is calculated to smooth the data.
The VTI value is the ratio between the current volume per second and this moving average, showing if the current volume is above what is expected for that pace.
The higher the VTI, the greater the imbalance between volume and time, indicating possible bursts of activity.
Settings:
VTI Moving Average Length: The period of the moving average used to smooth the volume per second (default is 20).
Alert Thresholds: Alert levels to identify moderate and high imbalances (defaults are 1.5 and 2.0).
Show VTI Histogram: Displays the VTI histogram in the indicator window.
Color Background: Colors the indicator background based on the strength of the imbalance (orange for moderate, red for high).
Show Alert Arrows: Shows arrows below the chart when a strong volume spike occurs (high alert).
Interpretation:
VTI values above the moderate level (1.5) indicate an unusual increase in volume relative to time.
Values above the high level (2.0) signal strong spikes that may anticipate significant moves or trend changes.
Use the colors and arrows as visual confirmations to quickly identify these moments.
DeltaStrike — Aggressive Candle Detector by Chaitu50cDeltaStrike — Aggressive Candle Detector
by Chaitu50c
DeltaStrike is a simple and effective tool designed to help traders identify the most aggressive candles on the chart in real time. It works purely on price action and internal candle dynamics, with no reliance on lagging indicators.
The indicator combines delta (directional strength), candle range, and volume to compute an overall aggressiveness score for each candle. When this score exceeds a dynamic threshold based on recent market behavior, the candle is marked as an aggressive move.
Aggressive bullish candles are plotted as green diamonds below the candle, while aggressive bearish candles are plotted as red diamonds above the candle. The goal is to help traders visually spot moments of strong directional pressure, where potential trends or reversals may emerge.
The detection logic adapts automatically to changing market volatility and volume, making it suitable for all instruments and timeframes, including index futures, equities, and forex.
An integrated dashboard on the chart displays live readings of the key components contributing to each candle’s aggressiveness score: delta ratio, range ratio, and volume ratio. This helps traders understand the internal structure of each aggressive move.
Features:
Dynamic aggressiveness detection based on delta, range, and volume
Adaptive threshold for consistent behavior across timeframes and instruments
Clean chart output with clear diamond markers only on selected candles
Live dashboard with internal metrics for advanced analysis
Simple, lightweight, and optimized for intraday and swing trading
Works with any instrument: index, equity, forex, commodity
DeltaStrike is intended as an objective visual aid to help traders focus on genuine moments of strong market intent, filtering out ordinary or passive price movement. It can be used standalone or in combination with your existing trading strategy.
CCI Orbiting-VenusIndicator Description: CCI Orbiting-Venus
This is a customized version of the Commodity Channel Index (CCI) that measures the price deviation relative to its smoothed moving average to help identify overbought or oversold market conditions.
What does it do?
Calculates the CCI based on various price sources (such as close, open, high, low, and several price averages).
Applies customizable smoothing to the CCI using different types of moving averages (SMA, EMA, WMA, Hull, JMA, and SMMA).
Visually highlights the CCI direction with different colors:
Purple when CCI is above zero (positive momentum)
Orange when CCI is below zero (negative momentum)
Shows reference lines at +100 and -100 to help identify overbought and oversold zones.
How to use this indicator?
CCI Period Setting (CCI Period):
Adjust the number of periods used to calculate the CCI. Lower values make the indicator more sensitive, while higher values smooth out fluctuations.
Price Source (CCI Price Source):
Choose which price to base the calculation on: close, open, high, low, or weighted averages. This allows you to adapt the indicator to your trading style or strategy.
Smoothing Type (CCI Smoothing Type):
Select from different smoothing methods for the CCI calculation, which affects how the indicator behaves:
SMA (Simple Moving Average) – basic and traditional.
EMA, WMA, Hull, JMA (more advanced averages) – provide different noise filtering or faster response to price movements.
Interpreting CCI values:
Values above +100 suggest the asset may be overbought and could be near a downward reversal.
Values below -100 suggest the asset may be oversold and could be near an upward reversal.
Crossing the zero line indicates a potential change in trend or momentum.
Practical usage:
Look for buy signals when CCI moves up from the oversold region (-100) and crosses above zero, turning purple (positive).
Look for sell signals when CCI moves down from the overbought region (+100) and crosses below zero, turning orange (negative).
Combine with other indicators or chart analysis to confirm signals and avoid false entries.
Advantages of this custom indicator
Flexibility in choosing the price source and smoothing method.
Intuitive visual cues with colors indicating momentum direction.
Clear reference lines for quick assessment of extreme conditions.
ATR RopeATR Rope is inspired by DonovanWall's "Range Filter". It implements a similar concept of filtering out smaller market movements and adjusting only for larger moves. In addition, this indicator goes one step deeper by producing actionable zones to determine market state. (Trend vs. Consolidation)
> Background
When reading up on the Range Filter indicator, it reminded me exactly of a Rope stabilization drawing tool in a program I use frequently. Rope stabilization essentially attaches a fixed length "rope" to your cursor and an anchor point (Brush). As you move your cursor, you are pulling the brush behind it. The cursor (of course) will not pull the brush until the rope is fully extended, this behavior filters out jittery movements and is used to produce smoother drawing curves.
If compared visually side-by-side, you will notice that this indicator bears striking resemblance to its inspiration.
> Goal
Other than simply distinguishing price movements between meaningful and noise, this indicator strives to create a rigid structure to frame market movements and lack-there-of, such as when to anticipate trend, and when to suspect consolidation.
Since the indicator works based on an ATR range, the resulting ATR Channel does well to get reactions from price at its extremes. Naturally, when consolidating, price will remain within the channel, neither pushing the channel significantly up or down. Likewise, when trending, price will continue to push the channel in a single direction.
With the goal of keeping it quick and simple, this indicator does not do any smoothing of data feeds, and is simply based on the deviation of price from the central rope. Adjusting the rope when price extends past the threshold created by +/- ATR from the rope.
> Features & Behaviors
- ATR Rope
ATR Rope is displayed as a 3 color single line.
This can be considered the center line, or the directional line, whichever you'd prefer.
The main point of the Rope display is to indicate direction, however it also is factually the center of the current working range.
- ATR Rope Color
When the rope's value moves up, it changes to green (uptrend), when down, red (downtrend).
When the source crosses the rope, it turns blue (flat).
With these simple rules, we've formed a structure to view market movements.
- Consolidation Zones
Consolidation Zones generate from "Flat" areas, and extend into subsequent trend areas. Consolidation is simply areas where price has crossed the Rope and remains inside the range. Over these periods, the upper and lower values are accumulated and averaged together to form the "Consolidation Zone" values. These zones are draw live, so values are averaged as the flat areas progress and don't repaint, so all values seen historically are as they would appear live.
- ATR Channel
ATR Channel displays the upper and lower bounds of the working range.
When the source moves beyond this range, the rope is adjusted based on the distance from the source to the channel. This range can be extremely useful to view, but by default it is hidden.
> Application
This indicator is not created to provide signals, or serve as a "complete" system.
(People who didn't read this far will still comment for signals. :) )
This is created to be used alongside manual interpretation and intuition. This indicator is not meant to constrain any users into a box, and I would actually encourage an open mind and idea generation, as the application of this indicator can take various forms.
> Examples
As you would probably already know, price movement can be fast impulses, and movement can be slow bleeds. In the screenshot below, we are using movements from and to consolidation zones to classify weak trend and strong trend. As you can see, there are also areas of consolidation which get broken out of and confirmed for the larger moves.
Author's Note: In each of these examples, I have outlined the start and end of each session. These examples come from 1 Min Future charts, and have specifically been framed with day trading in mind.
"Breakout Retest" or "Support/Resistance Flips" or "Structure Retests" are all generally the same thing, with different traders referring to them by different names, all of which can be seen throughout these examples.
In the next example, we have a day which started with an early reversal leading into long, slow, trend. Notice how each area throughout the trend essentially moves slightly higher, then consolidates while holding support of the previous zone. This day had a few sharp movements, however there was a large amount of neutrality throughout this day with continuous higher lows.
In contrast to the previous example, next up, we have a very choppy day. Throughout which we see a significant amount of retests before fast directional movements. We also see a few examples of places where previous zones remained relevant into the future. While the zones only display into the resulting trend area, they do not become immediately meaningless once they stop drawing.
> Abstract
In the screenshot below, I have stacked 2 of these indicators, using the high as the source for one and the low as the source for the other. I've hidden lines of the high and low channels to create a 4 lined channel based on the wicks of price.
This is not necessary to use the indicator, but should help provide an idea of creative ways the simple indicator could be used to produce more complicated analysis.
If you've made it this far, I would hope it's clear to you how this indicator could provide value to your trading.
Thank you to DonovonWall for the inspiration.
Enjoy!
Crypto Cycle Projection📈 Crypto Cycle Projection – Indicator Description
This indicator is designed to visually track and forecast repeating price cycles in the crypto market. It highlights a defined time-based cycle starting from a chosen date or the latest bar on the chart. By identifying cycle Start, Midpoint, and End zones, traders can gain insights into timing-based market structure and possible pivot periods.
⚙️ User Settings Explained
Start Point
Start from Last Candle (useLastCandle) – When enabled, the cycle begins from the most recent candle on the chart.
Manual Date (Year / Month / Day) – If Start from Last Candle is disabled, you can manually set a specific start date for the cycle.
Display Options
- Show Projection (showZone) – Toggles the display of the main cycle projection.
- Show Outer Bars (showOuter) – Adds faded edge bars around the key cycle zones for better visual emphasis.
- Show Previous Cycle (showPreviousCycle) – Adds the prior cycle to the chart, going one full cycle period back from the main start point.
Show Next Cycle (showNextCycle) – Projects one additional cycle forward beyond the current.
Cycle Parameters
Cycle Period (cyclePeriod) – Defines the number of bars in a full cycle (e.g., 60 = 60 bars). This sets the spacing between Start → Midpoint → End.
Each cycle section is color-coded:
Start = White
Midpoint = Yellow
End = Green
These reference lines and zones help you align trades with cycle timing for potential reversals, continuations, or volatility expansions.
Co-author Credit:
Matthew Hyland @ParabolicMatt
Multi-Timeframe 20 EMA Horizontal LinesOverview
This Multi-Timeframe 20 EMA indicator provides intelligent trend analysis by displaying your current timeframe EMA alongside relevant higher timeframe EMA levels as horizontal support/resistance lines. On lower timeframes, you see all higher EMA levels for comprehensive multi-timeframe confluence, while on higher timeframes, it filters out lower timeframe noise to maintain focus on macro trends. This allows traders to align short-term entries with long-term market structure, identifying high-probability setups where multiple timeframe EMAs converge while using the current timeframe EMA for precise timing.
Feature
Multi-Timeframe Horizontal EMA Lines
The indicator fetches and displays 20 EMAs from five higher timeframes:
Daily (D): Daily 20 EMA
Weekly (W): Weekly 20 EMA
Monthly (M): Monthly 20 EMA
Quarterly (Q): 3-Month 20 EMA
Half-Yearly (HY): 6-Month 20 EMA
Intelligent Timeframe Filtering
Smart Display Logic: Only shows EMAs from timeframes higher than your current chart timeframe
Prevents Redundancy: Automatically filters out lower timeframe EMAs to avoid clutter
Example: On a 4-hour chart, you'll see Daily, Weekly, Monthly, Quarterly, and Half-Yearly EMAs, but on a Weekly chart, you'll only see Weekly and higher timeframes
Half-Yearly (HY): 6-Month 20 EMA
Shows only current timeframe EMA with half-yearly horizontal line, filtering out all lower timeframes.
Quarterly (Q): 3-Month 20 EMA
Displays current timeframe EMA with quarterly and higher horizontal lines, hiding monthly, weekly, and daily EMAs.
Monthly (M): Monthly 20 EMA
Shows current timeframe EMA with monthly and higher horizontal EMAs, excluding weekly and daily timeframes.
Weekly (W): Weekly 20 EMA
Displays current timeframe EMA with weekly and higher horizontal EMA lines, filtering out daily timeframe.
Daily (D):
Shows current timeframe EMA with all higher timeframe horizontal EMAs (daily, weekly, monthly, quarterly, half-yearly).
Note: Make sure to enable Price-Line in Style Settings after Importing Script.
Trapper Market Structure (HH, HL, LH, LL)This script is designed to visually identify price action market structure in real time using pivot-based logic. It highlights the key components of trend direction by labeling:
- **HH** – Higher Highs
- **HL** – Higher Lows
- **LH** – Lower Highs
- **LL** – Lower Lows
These labels help traders track evolving market conditions and spot trend continuations, breaks in structure, or potential reversals — all without guessing.
**How It Works**
The script detects local swing highs and lows based on a customizable pivot strength. Once a valid pivot is confirmed, it’s classified in context with the previous relevant pivot to determine its structural significance.
For example:
- If a pivot high is higher than the previous, it’s marked as a **HH**.
- If a pivot low is lower than the previous, it’s marked as a **LL**, and so on.
This running analysis helps traders anticipate shifts between bullish and bearish structures.
**Customizable Features**
- Adjust **Pivot Strength** to increase or reduce sensitivity (more reactive or more stable)
- Toggle **Labels** on/off for cleaner charts
- Toggle **Connecting Lines** between pivots to visualize structure flow
**Use Case**
This indicator is ideal for:
- Price action traders
- Market structure analysis
- Identifying entry zones during pullbacks (e.g., buying at HLs during uptrends)
- Confirming trend reversals or break-of-structure (BoS)
You can use this tool as a foundation for more advanced systems such as CHoCH/BOS detection, liquidity zones, or sniper-style entry frameworks.
**Concepts Used**
- Swing High/Low detection using `ta.pivothigh` and `ta.pivotlow`
- Market structure labeling logic
- Visual flow to reinforce trader psychology on trend states
Disclaimer
This script is provided for educational purposes only. It is not financial advice and should not be relied upon for trading decisions. Always conduct your own analysis and risk management.
#marketstructure #priceaction #technicalanalysis #tradingviewopen #pivotpoints
Trend-Filter [John Ehlers]Indicator Description — Trend-Filter
This indicator uses the SuperSmoother filter, created by John Ehlers, to smooth price data and identify trends with greater accuracy and less noise. It counts the number of consecutive bars in uptrend or downtrend to measure the strength of the movement and changes the line and background colors for easy visualization.
How to use this indicator:
SuperSmoother filter: smooths the price to reveal a clearer trend direction by filtering out fast oscillations and market noise.
Bar counting: monitors sequences of bars maintaining an up or down trend to identify consistent moves.
Dynamic colors:
Green line indicates a strong uptrend.
Red line indicates a strong downtrend.
Yellow line shows a neutral or undefined trend.
Optional colored background visually reinforces trend strength with transparency so it does not interfere with price reading.
Visual signals: arrows appear on the chart to mark the start of a strong trend, helping entry or exit decisions.
Adjustable parameters:
SuperSmoother Length: controls the filter smoothing (higher = smoother, less noise).
Trend Threshold: minimum number of consecutive bars to consider a strong trend.
Smooth colors: enable or disable line color smoothing.
Show signals: toggle trend start arrows on/off.
Show dynamic background: toggle the colored background indicating trend strength.
Recommendations:
Use alongside other technical analysis tools and risk management.
Can be applied on any timeframe, but interpretation is more reliable on charts with reasonable data volume.
Ideal for traders seeking to identify consistent trends and avoid market noise.
Chebyshev-Gauss RSIThe Chebyshev-Gauss RSI is a variant of the standard Relative Strength Index (RSI) that uses the Chebyshev-Gauss Moving Average (CG-MA) for smoothing gains and losses instead of a traditional Simple or Exponential Moving Average. This results in a more responsive and potentially smoother RSI line.
This version is enhanced with features from the built-in TradingView RSI indicator, including:
A selectable smoothing moving average of the RSI line.
Bollinger Bands based on the smoothing MA.
Automatic divergence detection.
How it works:
It calculates the upward and downward price changes (gains and losses).
It applies the Chebyshev-Gauss Moving Average to smooth these gains and losses over a specified lookback period.
The smoothed values are used to calculate the Relative Strength (RS) and then the final RSI value.
Chebyshev-Gauss Convergence DivergenceThe Chebyshev-Gauss Convergence Divergence is a momentum indicator that leverages the Chebyshev-Gauss Moving Average (CG-MA) to provide a smoother and more responsive alternative to traditional oscillators like the MACD. For more information see the moving average script:
How it works:
It calculates a fast CG-MA and a slow CG-MA. The CG-MA uses Gauss-Chebyshev quadrature to compute a weighted average, which can offer a better trade-off between lag and smoothness compared to simple or exponential MAs.
The Oscillator line is the difference between the fast CG-MA and the slow CG-MA.
A Signal Line, which is a simple moving average of the Oscillator line, is plotted to show the average trend of the oscillator.
A Histogram is plotted, representing the difference between the Oscillator and the Signal Line. The color of the histogram bars changes to indicate whether momentum is strengthening or weakening.
How to use:
Crossovers: A buy signal can be generated when the Oscillator line crosses above the Signal line. A sell signal can be generated when it crosses below.
Zero Line: When the Oscillator crosses above the zero line, it indicates upward momentum (fast MA is above slow MA).When it crosses below zero, it indicates downward momentum.
Divergence: Like with the MACD, look for divergences between the oscillator and price action to spot potential reversals.
Histogram: The histogram provides a visual representation of the momentum. When the bars are growing, momentum is increasing. When they are shrinking, momentum is fading.
CGMALibrary "CGMA"
This library provides a function to calculate a moving average based on Chebyshev-Gauss Quadrature. This method samples price data more intensely from the beginning and end of the lookback window, giving it a unique character that responds quickly to recent changes while also having a long "memory" of the trend's start. Inspired by reading rohangautam.github.io
What is Chebyshev-Gauss Quadrature?
It's a numerical method to approximate the integral of a function f(x) that is weighted by 1/sqrt(1-x^2) over the interval . The approximation is a simple sum: ∫ f(x)/sqrt(1-x^2) dx ≈ (π/n) * Σ f(xᵢ) where xᵢ are special points called Chebyshev nodes.
How is this applied to a Moving Average?
A moving average can be seen as the "mean value" of the price over a lookback window. The mean value of a function with the Chebyshev weight is calculated as:
Mean = /
The math simplifies beautifully, resulting in the mean being the simple arithmetic average of the function evaluated at the Chebyshev nodes:
Mean = (1/n) * Σ f(xᵢ)
What's unique about this MA?
The Chebyshev nodes xᵢ are not evenly spaced. They are clustered towards the ends of the interval . We map this interval to our lookback period. This means the moving average samples prices more intensely from the beginning and the end of the lookback window, and less intensely from the middle. This gives it a unique character, responding quickly to recent changes while also having a long "memory" of the start of the trend.
Chebyshev-Gauss Moving AverageThis indicator applies the principles of Chebyshev-Gauss Quadrature to create a novel type of moving average. Inspired by reading rohangautam.github.io
What is Chebyshev-Gauss Quadrature?
It's a numerical method to approximate the integral of a function f(x) that is weighted by 1/sqrt(1-x^2) over the interval . The approximation is a simple sum: ∫ f(x)/sqrt(1-x^2) dx ≈ (π/n) * Σ f(xᵢ) where xᵢ are special points called Chebyshev nodes.
How is this applied to a Moving Average?
A moving average can be seen as the "mean value" of the price over a lookback window. The mean value of a function with the Chebyshev weight is calculated as:
Mean = /
The math simplifies beautifully, resulting in the mean being the simple arithmetic average of the function evaluated at the Chebyshev nodes:
Mean = (1/n) * Σ f(xᵢ)
What's unique about this MA?
The Chebyshev nodes xᵢ are not evenly spaced. They are clustered towards the ends of the interval . We map this interval to our lookback period. This means the moving average samples prices more intensely from the beginning and the end of the lookback window, and less intensely from the middle. This gives it a unique character, responding quickly to recent changes while also having a long "memory" of the start of the trend.
AP Session Liquidity with EQH/EQL and Previous DayThis indicator plots key intraday session highs and lows, along with essential market structure levels, to help traders identify areas of interest, potential liquidity zones, and high-probability trade setups. It includes the Asia Session High and Low (typically 00:00–08:00 UTC), London Session High and Low (08:00–12:00 UTC), New York AM Session High and Low (12:00–15:00 UTC), and New York Lunch High and Low (15:00–17:00 UTC). Additionally, it displays the Previous Day’s High and Low for context on recent price action, as well as automatically detected Equal Highs and Lows based on configurable proximity settings to highlight potential liquidity pools or engineered price levels. These session levels are widely used by institutional traders and are critical for analyzing market behavior during time-based volatility windows. Traders can use this indicator to anticipate breakouts, fakeouts, and reversals around session boundaries—such as liquidity grabs at Asia highs/lows before the London or New York sessions—or to identify key consolidation and expansion zones. Equal Highs and Lows serve as magnets for price, offering insight into potential stop hunts or inducement zones. This tool is ideal for day traders, scalpers, and smart money concept practitioners, and includes full customization for session timings, color schemes, line styles, and alert conditions. Whether you're trading price action, ICT concepts, or supply and demand, this indicator provides a powerful framework for intraday analysis.
Donchian x WMA Crossover (2025 Only, Adjustable TP, Real OHLC)Short Description:
Long-only breakout system that goes long when the Donchian Low crosses up through a Weighted Moving Average, and closes when it crosses back down (with an optional take-profit), restricted to calendar year 2025. All signals use the instrument’s true OHLC data (even on Heikin-Ashi charts), start with 1 000 AUD of capital, and deploy 100 % equity per trade.
Ideal parameters configured for Temple & Webster on ASX 30 minute candles. Adjust parameter to suit however best to download candle interval data and have GPT test the pine script for optimum parameters for your trading symbol.
Detailed Description
1. Strategy Concept
This strategy captures trend-driven breakouts off the bottom of a Donchian channel. By combining the Donchian Low with a WMA filter, it aims to:
Enter when volatility compresses and price breaks above the recent Donchian Low while the longer‐term WMA confirms upward momentum.
Exit when price falls back below that same WMA (i.e. when the Donchian Low crosses back down through WMA), but only if the WMA itself has stopped rising.
Optional Take-Profit: you can specify a profit target in decimal form (e.g. 0.01 = 1 %).
2. Timeframe & Universe
In-sample period: only bars stamped between Jan 1 2025 00:00 UTC and Dec 31 2025 23:59 UTC are considered.
Any resolution (e.g. 30 m, 1 h, D, etc.) is supported—just set your preferred timeframe in the TradingView UI.
3. True-Price Execution
All indicator calculations (Donchian Low, WMA, crossover checks, take-profit) are sourced from the chart’s underlying OHLC via request.security(). This guarantees that:
You can view Heikin-Ashi or other styled candles, but your strategy will execute on the real OHLC bars.
Chart styling never suppresses or distorts your backtest results.
4. Position Sizing & Equity
Initial capital: 1 000 AUD
Size per trade: 100 % of available equity
No pyramiding: one open position at a time
5. Inputs (all exposed in the “Inputs” tab):
Input Default Description
Donchian Length 7 Number of bars to calculate the Donchian channel low
WMA Length 62 Period of the Weighted Moving Average filter
Take Profit (decimal) 0.01 Exit when price ≥ entry × (1 + take_profit_perc)
6. How It Works
Donchian Low: ta.lowest(low, DonchianLength) over the specified look-back.
WMA: ta.wma(close, WMALength) applied to true closes.
Entry: ta.crossover(DonchianLow, WMA) AND barTime ∈ 2025.
Exit:
Cross-down exit: ta.crossunder(DonchianLow, WMA) and WMA is not rising (i.e. momentum has stalled).
Take-profit exit: price ≥ entry × (1 + take_profit_perc).
Calendar exit: barTime falls outside 2025.
7. Usage Notes
After adding to your chart, open the Strategy Tester tab to review performance metrics, list of trades, equity curve, etc.
You can toggle your chart to Heikin-Ashi for visual clarity without affecting execution, thanks to the real-OHLC calls.
RSI-GringoRSI-Gringo — Stochastic RSI with Advanced Smoothing Averages
Overview:
RSI-Gringo is an advanced technical indicator that combines the concept of the Stochastic RSI with multiple smoothing options using various moving averages. It is designed for traders seeking greater precision in momentum analysis, while offering the flexibility to select the type of moving average that best suits their trading style.
Disclaimer: This script is not investment advice. Its use is entirely at your own risk. My responsibility is to provide a fully functional indicator, but it is not my role to guide how to trade, adjust, or use this tool in any specific strategy.
The JMA (Jurik Moving Average) version used in this script is a custom implementation based on publicly shared code by TradingView users, and it is not the original licensed version from Jurik Research.
What This Indicator Does
RSI-Gringo applies the Stochastic Oscillator logic to the RSI itself (rather than price), helping to identify overbought and oversold conditions within the RSI. This often leads to more responsive and accurate momentum signals.
This indicator displays:
%K: the main Stochastic RSI line
%D: smoothed signal line of %K
Upper/Lower horizontal reference lines at 80 and 20
Features and Settings
Available smoothing methods (selectable from dropdown):
SMA — Simple Moving Average
SMMA — Smoothed Moving Average (equivalent to RMA)
EMA — Exponential Moving Average
WMA — Weighted Moving Average
HMA — Hull Moving Average (manually implemented)
JMA — Jurik Moving Average (custom approximation)
KAMA — Kaufman Adaptive Moving Average
T3 — Triple Smoothed Moving Average with adjustable hot factor
How to Adjust Advanced Averages
T3 – Triple Smoothed MA
Parameter: T3 Hot Factor
Valid range: 0.1 to 2.0
Tuning:
Lower values (e.g., 0.1) make it faster but noisier
Higher values (e.g., 2.0) make it smoother but slower
Balanced range: 0.7 to 1.0 (recommended)
JMA – Jurik Moving Average (Custom)
Parameters:
Phase: adjusts responsiveness and smoothness (-100 to 100)
Power: controls smoothing intensity (default: 1)
Tuning:
Phase = 0: neutral behavior
Phase > 0: more reactive
Phase < 0: smoother, more delayed
Power = 1: recommended default for most uses
Note: The JMA used here is not the proprietary version by Jurik Research, but an educational approximation available in the public domain on TradingView.
How to Use
Crossover Signals
Buy signal: %K crosses above %D from below the 20 line
Sell signal: %K crosses below %D from above the 80 line
Momentum Strength
%K and %D above 80: strong bullish momentum
%K and %D below 20: strong bearish momentum
With Trend Filters
Combine this indicator with trend-following tools (like moving averages on price)
Fast smoothing types (like EMA or HMA) are better for scalping and day trading
Slower types (like T3 or KAMA) are better for swing and long-term trading
Final Tips
Tweak RSI and smoothing periods depending on the time frame you're trading.
Try different combinations of moving averages to find what works best for your strategy.
This indicator is intended as a supporting tool for technical analysis — not a standalone decision-making system.
Euclidean Range [InvestorUnknown]The Euclidean Range indicator visualizes price deviation from a moving average using a geometric concept Euclidean distance. It helps traders identify trend strength, volatility shifts, and potential overextensions in price behavior.
Euclidean Distance
Euclidean distance is a fundamental concept in geometry and machine learning. It measures the "straight-line distance" between two points in space. In time series analysis, it can be used to measure how far one sequence deviates from another over a fixed window.
euclidean_distance(src, ref, len) =>
var float sum_sq_diff = na
sum_sq_diff := 0.0
for i = 0 to len - 1
diff = src - ref
sum_sq_diff += diff * diff
math.sqrt(sum_sq_diff)
In this script, we calculate the Euclidean distance between the price (source) and a smoothed average (reference) over a user-defined window. This gives us a single scalar that reflects the overall divergence between price and trend.
How It Works
Moving Average Calculation: You can choose between SMA, EMA, or HMA as your reference line. This becomes the "baseline" against which the actual price is compared.
Distance Band Construction: The Euclidean distance between the price and the reference is calculated over the Window Length. This value is then added to and subtracted from the average to form dynamic upper and lower bands, visually framing the range of deviation.
Distance Ratios and Z-Scores: Two distance ratios are computed: dist_r = distance / price (sensitivity to volatility); dist_v = price / distance (sensitivity to compression or low-volatility states)
Both ratios are normalized using a Z-score to standardize their behavior and allow for easier interpretation across different assets and timeframes.
Z-Score Plots: Z_r (white line) highlights instances of high volatility or strong price deviation; Z_v (red line) highlights low volatility or compressed price ranges.
Background Highlighting (Optional): When Z_v is dominant and increasing, the background is colored using a gradient. This signals a possible build-up in low volatility, which may precede a breakout.
Use Cases
Detect volatile expansions and calm compression zones.
Identify mean reversion setups when price returns to the average.
Anticipate breakout conditions by observing rising Z_v values.
Use dynamic distance bands as adaptive support/resistance zones.
Notes
The indicator is best used with liquid assets and medium-to-long windows.
Background coloring helps visually filter for squeeze setups.
Disclaimer
This indicator is provided for speculative analysis and educational purposes only. It is not financial advice. Always backtest and evaluate in a simulated environment before live trading.
TradeJorno - Time + Price Levels
Tired of manually drawing and updating important ICT or SMC time and price levels on your charts every day?
Here’s an indicator to draw important TIME and PRICE levels automatically.
Here’s what you can highlight in realtime on your charts:
1. Previous major highs and lows
⁃ Previous daily and weekly highs and low
- Weekly dividing lines
2. Session highs/lows
⁃ Plot the high and low of Asia and London sessions.
⁃ Customise the timeframe and appearance on the chart.
- Previous session settlement price.
3. Various price levels
⁃ Pre-market opening prices : midnight, 7:30 and 8:30
⁃ Regular market opening prices: 9:30, 10:00, 14:00
- end of session settlement prices
4. Market opening range high and low
⁃ Lines extending throughout the current session
⁃ Customise the timeframe and appearance on the chart.
5. ICT Macro times
- Draw customisable vertical lines and labels to indicate the start of each ICT macro
period.
Let us know in the comments below if there’s anything else we need to add!
Pair TradingPAIR TRADING
Description:
This indicator is a simple and intuitive tool for rotating between two assets based on their relative price ratio. By comparing the prices of Asset A and Asset B, it plots a “ratio line” (gray) with dynamic upper and lower boundaries (red and blue).
When the ratio reaches the red line, Asset A is expensive → rotate out of A and into B.
When the ratio touches the blue line, Asset A is cheap → rotate back into A.
The chart also shows:
🔹 Background highlights for visual cues
🔹 “Rotate to A” or “Rotate to B” markers for easy decisions
🔹 A live summary table with mean ratio, upper/lower boundaries, and current ratio
How to Use:
Select Asset A and Asset B in the settings.
Adjust the Lookback Period and Threshold if needed.
Watch the gray ratio line as it moves:
Above red line? → Consider rotating into B
Below blue line? → Consider rotating into A
Use the background color changes and rotation labels to spot clear rotation opportunities!
Why Pair Trading?
Pair trading is a powerful way to manage a portfolio because it neutralizes market direction risk and focuses on relative value.
By rotating between correlated assets, you can:
Smooth out returns
Avoid holding a weak asset too long
Capture reversion when assets diverge too far
This approach can enhance risk-adjusted returns and help keep your portfolio balanced and nimble!
How to Pick Pairs:
Choose assets with strong correlation or similar drivers.
Look for common trends (sector, macro).
Start with assets you know best (high-conviction ideas).
Make sure both have good liquidity for reliable trading!
TO HELP FIND CORRELATED ASSETS:
Use the Correlation Coefficient indicator in TradingView:
Click Indicators
Search for “Correlation Coefficient”
Add it to your chart
Input the symbol of the second asset (e.g., if you’re on MSTR, input TSLA).
This plots the rolling correlation coefficient — super helpful!
Pair trading can turn big swings into steady rotations and help you stay active even when the market is choppy. It’s a simple, practical approach to keep your portfolio balanced.
Market Pulse ProMarket Pulse Pro (Pulse‑X) — User Guide
Market Pulse Pro, also known as Pulse‑X, is an advanced momentum indicator that combines SMI, Stochastic RSI, and a smoothed signal line to identify zones of buying and selling strength in the market. It is designed to assess the balance of power between bulls and bears with clear visualizations.
How It Works
The indicator calculates three main components:
SMI (Stochastic Momentum Index) – measures price position relative to its recent range.
Stochastic RSI – captures overbought/oversold extremes of the RSI.
Smoothed Signal Line – based on closing price, smoothed using various methods (such as HMA, EMA, etc.).
Each component is normalized to create two final values:
Bull Herd (Buying Strength) – green line.
Bear Winter (Selling Strength) – red line.
Interpretation
Bull Herd (high green values): Bulls dominate the market. May indicate the start or continuation of an uptrend.
Bear Winter (high red values): Bears dominate. May indicate reversal or continuation of a downtrend.
Convergence around 50%: Market is balanced. Signals are weaker or indecisive.
Tip: Combine with price action analysis or support/resistance levels to confirm entries.
Customizable Settings
You can adjust:
SMI Period, Smooth K, and D – control the sensitivity of the SMI.
RSI Period – sets the RSI calculation window.
Signal Period – period for the price-based signal line.
Smoothing Methods – choose between HMA, EMA, WMA, JMA, SMMA, etc.
Line Width – thickness of the plotted lines.
Note: The JMA (Jurik Moving Average) used in this script is not the original proprietary version.
It is a custom public version, based on open-source code shared by the TradingView community.
The original JMA is copyrighted and owned by Jurik Research.
How to Use It in Practice
Buy Entries
When the green Bull Herd line crosses above 60 and the red Bear Winter line falls below 40.
Entry is more reliable if the green line is rising steadily.
Sell Entries
When the red Bear Winter line crosses above 60 and the green Bull Herd line falls.
Signals are stronger when there is a clear crossover and divergence between the two lines.
Avoid trading near the neutral zone (~50%), where the market shows indecision.
Additional Tips
Combine with volume analysis or reversal candlestick patterns for higher accuracy.
Test different smoothing methods: HMA is more responsive, SMMA is smoother and slower.
Liquidity Engulfing (Nephew_Sam_)🔥 Liquidity Engulfing Multi-Timeframe Detector
This indicator finds engulfing bars which have swept liquidity from its previous candle. You can use it across 6 timeframes with fibonacci entries.
⚡ Key Features
6 Customizable Timeframes - Complete market structure analysis
Smart Liquidity Detection - Finds patterns that sweep liquidity then reverse
Real-Time Status Table - Confirmed vs unconfirmed patterns with color coding
Fibonacci Integration - 5 customizable fib levels for precise entries
HTF → LTF Strategy - Spot reversals on higher timeframes, enter on lower timeframe fibs
📈 Engulfing Rules
Bullish: Current candle bullish + previous bearish + current low < previous low + current close > previous open
Bearish: Current candle bearish + previous bullish + current high > previous high + current close < previous open
Volume Profile - EdzVolume Profile – Edz is a lightweight indicator that identifies the top high-volume price levels over a recent range of candles, using customizable price binning (priceStep) and lookback length. It highlights the top N volume clusters with horizontal lines, labels, and strength-based star ratings (★–★★★), and displays a compact summary table showing price, volume, and relative strength. Optimized for intraday and short-term trading, this tool updates only on the latest bar for maximum performance and is ideal for spotting volume-based support, resistance, and high-confluence trading zones.
Smart Session ConceptSmart Session Concept — Intelligent Trading Session Overlay
Smart Session Concept is designed to detect major reversal points and key price pivots formed on higher timeframes, particularly during high-volume periods of the day — often marking the footprints of institutional orders and whales.
🔍 Key Features:
Displays standard sessions (Asian, London, New York) and allows adding custom time sessions.
Offers two visualization modes:
Time session table
Visual session boxes plotted on the chart
Auto-sync with seasonal time changes (Summer/Winter), supports Daylight Saving Time (DST)
Full flexibility:
Toggle table, boxes, and labels on/off
Customize colors for all session elements
Choose which months are considered summer/winter
💡 Suggested Use Case:
Use Smart Session Sync to pinpoint critical price structures such as:
Peaks and troughs of trending waves
Highs/lows in Wyckoff trading ranges
Liquidity sweeps or untouched liquidity zones
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