Volume Percentile Supertrend [BackQuant]Volume Percentile Supertrend
A volatility and participation aware Supertrend that automatically widens or tightens its bands based on where current volume sits inside its recent distribution. The goal is simple: fewer whipsaws when activity surges, faster reaction when the tape is quiet.
What it does
Calculates a standard Supertrend framework from an ATR on a volume weighted price source.
Measures current volume against its recent percentile and converts that context into a dynamic ATR multiplier.
Widens bands when volume is unusually high to reduce chop. Tightens bands when volume is unusually low to catch turns earlier.
Paints candles, draws the active Supertrend line and optional bands, and prints clear Long and Short signal markers.
Why volume percentile
Fixed ATR multipliers assume all bars are equal. They are not. When participation spikes, price swings expand and a static band gets sliced.
Percentiles place the current bar inside a recent distribution. If volume is in the top slice, the Supertrend allows more room. If volume is in the bottom slice, it expects smaller noise and tightens.
This keeps the same playbook usable across busy sessions and sleepy ones without constant manual retuning.
How it works
Volume distribution - A rolling window computes the Pth percentile of volume. Above that is flagged as high volume. A lower reference percentile marks quiet bars.
Dynamic multiplier - Start from a Base Multiplier. If bar is high volume, scale it up by a function of volume-to-average and a Sensitivity knob. If bar is low volume, scale it down. Smooth the result with an EMA to avoid jitter.
VWMA source - The price input for bands is a short volume weighted moving average of close. Heavy prints matter more.
ATR envelope - Compute ATR on your length. UpperBasic = VWMA + Multiplier x ATR. LowerBasic = VWMA - Multiplier x ATR.
Trailing logic - The final lines trail price so they only move in a direction that preserves Supertrend behavior. This prevents sudden flips from transient pokes.
Direction and signals - Direction flips when price crosses through the relevant trailing line. SupertrendLong and SupertrendShort mark those flips. The plotted Supertrend is the active trailing side.
Inputs and what they change
Volume Lookback - Window for percentile and average. Larger window = stabler percentile, smaller = snappier.
Volume Percentile Level - Threshold that defines high volume. Example 70 means top 30 percent of recent bars are treated as high activity.
Volume Sensitivity - Gain from volume ratio to the dynamic multiplier. Higher = bands expand more when volume spikes.
VWMA Source Length - Smoothing of the volume weighted price source for the bands.
ATR Length - Standard ATR window. Larger = slower, smaller = quicker.
Base Multiplier - Core band width before volume adjustment. Think of this as your neutral volatility setting.
Multiplier Smoothing - EMA on the dynamic multiplier. Reduces back and forth changes when volume oscillates around the threshold.
Show Supertrend on chart - Toggles the active line.
Show Upper Lower Bands - Draws both sides even when inactive. Good for context.
Paint candles according to Trend - Colors bars by trend direction.
Show Long and Short Signals - Prints 𝕃 and 𝕊 markers at flips.
Colors - Choose your long and short palette.
Reading the plot
Supertrend line - Thick line that hugs price from above in downtrends and from below in uptrends. Its distance breathes with volume.
Bands - Optional upper and lower rails. Useful to see the inactive side and judge how wide the envelope is right now.
Signals - 𝕃 prints when the trend flips long. 𝕊 prints when the trend flips short.
Candle colors - Quick bias read at a glance when painting is enabled.
Typical workflows
Trend following - Use 𝕃 flips to initiate longs and ride while bars remain colored long and price respects the lower trailing line. Mirror for shorts with 𝕊 and the upper trailing line. During high volume phases the line will give more room, which helps stay in the move.
Pullback adds - In an established trend, shallow tags toward the active line after a high volume expansion can be add points. The dynamic envelope adjusts to the session so your add distance is not fixed to a stale volatility regime.
Mean reversion filter - In quiet tape the multiplier contracts and flips come earlier. If you prefer fading, watch for quick toggles around the bands when volume percentile remains low. In high volume, avoid fading into the widened line unless you have other strong reasons.
Notes on behavior
High volume bar: the percentile gate opens, volRatio > 1 powers up the multiplier through the Sensitivity lever, bands widen, fewer false flips.
Low volume bar: multiplier contracts, bands tighten, flips can happen earlier which is useful when you want to catch regime changes in quiet conditions.
Smoothing matters: both the price source (VWMA) and the multiplier are smoothed to keep structure readable while still adapting.
Quick checklist
If you see frequent chop and today feels busy: check that volume is above your percentile. Wider bands are expected. Consider letting the trend prove itself against the expanded line before acting.
If everything feels slow and you want earlier entries: percentile likely marks low volume, so bands tighten and 𝕃 or 𝕊 can appear sooner.
If you want more or fewer flips overall: adjust Base Multiplier first. If you want more reaction specifically tied to volume surges: raise Volume Sensitivity. If the envelope breathes too fast: raise Multiplier Smoothing.
What the signals mean
SupertrendLong - Direction changed from non-long to long. 𝕃 marker prints. The active line switches to support below price.
SupertrendShort - Direction changed from non-short to short. 𝕊 marker prints. The active line switches to resistance above price.
Trend color - Bars painted long or short help validate context for entries and management.
Summary
Volume Percentile Supertrend adapts the classic Supertrend to the day you are trading. Volume percentile sets the mood, sensitivity translates it into dynamic band width, and smoothing keeps it clean. The result is a single plot that aims to stay conservative when the tape is loud and act decisively when it is quiet, without you having to constantly retune settings.
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Volume-Weighted RSI & Multi-Normalized MACD### Description for Publishing: Volume-Weighted RSI & Multi-Normalized MACD
**Overview**
The "Volume-Weighted RSI & Multi-Normalized MACD" indicator is a powerful and versatile tool designed for traders seeking enhanced momentum and trend analysis. Combining a volume-weighted Relative Strength Index (VW-RSI) with a customizable Moving Average Convergence Divergence (MACD) featuring multiple normalization methods, this indicator provides deep insights into market dynamics. It supports multi-timeframe (MTF) analysis and includes an optional stepped plotting mode for discrete signal visualization, making it ideal for both trend-following and mean-reversion strategies across various markets (stocks, forex, crypto, etc.).
**Key Features**
1. **Volume-Weighted RSI (VW-RSI)**:
- A modified RSI that incorporates trading volume for greater sensitivity to market activity.
- Normalized to a user-defined range (default: -50 to +50) for consistent analysis.
- Optional smoothing with multiple moving average types (SMA, EMA, WMA, VWMA, SMMA, or SMA with Bollinger Bands) to reduce noise and highlight trends.
- Overbought (+20) and oversold (-20) levels for quick reference.
2. **Multi-Normalized MACD**:
- Offers six normalization methods for MACD, allowing traders to tailor the output to their strategy:
- Normalized Volume Weighted MACD (unbounded).
- Min-Max Normalization (bounded).
- Volatility Normalization (unbounded, volatility-adjusted).
- Volatility Normalization with Min-Max (bounded).
- Hyperbolic Tangent Normalization (bounded).
- Arctangent Normalization (bounded).
- Min-Max with Smoothing (bounded).
- All bounded methods scale to the user-defined range (default: -50 to +50), ensuring comparability with VW-RSI.
- Dynamic color changes for MACD line (lime/red) and histogram (aqua/blue/red/maroon) based on momentum and signal line crosses.
3. **Stepped Plotting Mode**:
- Optional mode to plot RSI and MACD as discrete, stepped lines, reducing noise by only updating when values change significantly (configurable thresholds).
- Ideal for traders focusing on clear, actionable signal changes.
4. **Multi-Timeframe Support**:
- Configurable timeframe input (default: chart timeframe) for analyzing RSI and MACD on higher or lower timeframes, enhancing cross-timeframe strategies.
5. **Customizable Display**:
- Toggle options to show/hide MACD line, signal line, histogram, and cross dots.
- Bollinger Bands for RSI smoothing (optional) with adjustable standard deviation multiplier.
- Clear visual cues with horizontal lines for overbought/oversold levels, midline, and MACD bounds.
**Usage Instructions**
1. **Add to Chart**: Apply the indicator to any symbol (e.g., BTCUSD, SPY) on any timeframe (1H, 1D, etc.).
2. **Configure Settings**:
- **General**: Adjust `Lower Bound` (-50 default) and `Upper Bound` (+50 default) for the output range. Set `Timeframe` for MTF analysis. Enable `Stepped?` for discrete plotting.
- **RSI**: Choose `Price Source` (default: ohlc4), `RSI Length` (default: 9), and smoothing options (e.g., EMA, Bollinger Bands). Adjust `RSI Diff Threshold` for stepped mode.
- **MACD**: Select `Price Source`, `Fast Length` (9), `Slow Length` (21), `Signal Length` (9), and a normalization method (default: Volatility Min-Max). Adjust `MACD Diff Threshold` for stepped mode.
- **Display Options**: Toggle MACD components and histogram colors for clarity.
3. **Interpretation**:
- **VW-RSI**: Watch for crosses above +20 (overbought) or below -20 (oversold) for potential reversals. Use smoothed RSI or Bollinger Bands for trend confirmation.
- **MACD**: Look for MACD/Signal line crosses (dots indicate crossings) and histogram changes for momentum shifts. Bounded normalizations align with RSI for unified analysis.
- **Stepped Mode**: Focus on significant changes in RSI/MACD for clearer signals.
4. **Companion Overlay**: For visualization on the main price chart, use the companion script "VW-RSI & MACD Price Overlay" (available separately, requires this script to be published). It plots RSI and MACD as price-scaled echo lines, with toggles to show/hide and customizable scaling (high/low or ATR).
**Who Is This For?**
- **Trend Traders**: Use MACD normalizations and MTF to identify momentum shifts across timeframes.
- **Mean-Reversion Traders**: Leverage VW-RSI’s overbought/oversold signals for entry/exit points.
- **Technical Analysts**: Customize normalization and smoothing to match specific market conditions.
- **All Markets**: Works on stocks, forex, cryptocurrencies, and more, with any timeframe.
**Notes**
- Unbounded MACD normalizations (`enable_nvw`, `enable_vol`) may produce values outside -50/+50, suitable for volatility-focused strategies.
- For price chart overlay, publish this script and use its ID in the companion script’s `request.security` call.
- Adjust scaling inputs in the companion script for optimal visualization on volatile or stable assets.
**Author’s Note**
Developed by NEPOLIX, this indicator combines volume-weighted precision with flexible normalization for robust technical analysis. Feedback and suggestions are welcome to enhance future versions!
Argentum Flag [AGP] Ver.2.5Central Purpose and Concept
The Argentum Flag script is a multifunctional tool that integrates and visualizes multiple key indicators to provide a detailed and unified perspective of the market. The core concept is to analyze price from different angles—volatility, volume, and momentum—to identify confluences and patterns that may be difficult to see with separate indicators. This "mashup" is not a simple fusion of indicators, but a strategic combination of tools that complement each other to offer a comprehensive view of asset behavior.
Components and Their Functionality
This script combines and visualizes the following elements:
EMA Percentage Bands (EMA Bands):
Uses an Exponential Moving Average (EMA) as a baseline.
Calculates and draws several volatility bands that deviate from the central EMA by fixed percentages (0.47%, 0.94%, 2.36%). These bands are inspired by Fibonacci ratios and the cyclical nature of the market.
The bands are colored with a dynamic gradient that reflects the current state of volatility.
Utility: These bands act as dynamic support and resistance areas. The price entering or exiting these zones can indicate a change in volatility or a possible exhaustion of the movement.
Volatility Signals (Vortex & Prime Signals):
The script generates visual signals when the price stays outside the volatility bands for a specific number of bars.
Vortex Signals (diamond ⍲): Appear when the price crosses and stays outside the Prime bands, suggesting a high volatility or a possible continuation of the trend.
Exit/Entry Signals (circle ⌾): Are activated when the price stays outside the Vortex bands, indicating an extreme extension of volatility. These can be interpreted as potential reversal or profit-taking zones.
Utility: They help traders quickly identify moments of high and low volatility and potential turning points in price action.
Volume Analysis (Volume Bar Colors):
The script changes the color of the bars based on the relationship between the current volume and the average volume over a 50-bar period.
Utility: This feature allows the trader to immediately visualize the strength behind a price movement. For example, a bullish candle with "extreme" volume suggests strong buying interest, while a bearish candle with "low" volume could indicate a weak correction.
Summary Tables (Dashboard):
EMA-Fibo Table: Displays the values of 12 EMAs based on the Fibonacci sequence (5, 8, 13, 21...) in an easy-to-access table. The background color of each value indicates if the current price is above (bullish) or below (bearish) that EMA.
Multi-Timeframe RSI Table: Displays the Relative Strength Index (RSI) values across multiple timeframes (from 1 minute to monthly). The text color changes to highlight if the RSI is in overbought (orange) or oversold (white) areas, according to the established levels.
Utility: These tables condense a large amount of data into a simple format, allowing traders to perform a quick, multi-timeframe market analysis without constantly switching charts.
How to Use the Script
This script is a contextual analysis tool that works best when its different components are combined. It is not a "buy and sell signal" system on its own, but a tool for informed decision-making.
Trend Identification: Use the EMA table to see the general trend direction across different timeframes. A price above most of the EMAs in the table suggests a bullish bias.
Volatility Reading: Observe the EMA bands. If the price stays within the bands, volatility is low. A strong move that breaks out of the bands, accompanied by an "extreme" volume color (blue), suggests strong momentum that could continue.
Momentum Analysis: Use the RSI table to confirm movements. An overbought 15m RSI could support a reversal signal from the Vortex bands, while a 1D RSI in a neutral zone may indicate that the main trend has not changed.
Signal Confirmation: Visual signals (diamond and circle) should not be used in isolation. They must be confirmed by volume analysis and dashboard readings. For example, an "Exit Signal" (circle) with low volume may be less reliable than one with high volume and a clear reversal candle.
Disclaimer
This script is for informational and educational purposes only. It is not financial advice, nor is it a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance is not indicative of future results. The user is solely responsible for their own trading decisions.
Smart Breadth [smartcanvas]Overview
This indicator is a market breadth analysis tool focused on the S&P 500 index. It visualizes the percentage of S&P 500 constituents trading above their 50-day and 200-day moving averages, integrates the McClellan Oscillator for advance-decline analysis, and detects various breadth-based signals such as thrusts, divergences, and trend changes. The indicator is displayed in a separate pane and provides visual cues, a summary label with tooltip, and alert conditions to highlight potential market conditions.
The tool uses data symbols like S5FI (percentage above 50-day MA), S5TH (percentage above 200-day MA), ADVN/DECN (S&P advances/declines), and optionally NYSE advances/declines for certain calculations. If primary data is unavailable, it falls back to calculated breadth from advance-decline ratios.
This indicator is intended for educational and analytical purposes to help users observe market internals. My intention was to pack in one indicator things you will only find in a few. It does not provide trading signals as financial advice, and users are encouraged to use it in conjunction with their own research and risk management strategies. No performance guarantees are implied, and historical patterns may not predict future market behavior.
Key Components and Visuals
Plotted Lines:
Aqua line: Percentage of S&P 500 stocks above their 50-day MA.
Purple line: Percentage of S&P 500 stocks above their 200-day MA.
Optional orange line (enabled via "Show Momentum Line"): 10-day momentum of the 50-day MA breadth, shifted by +50 for scaling.
Optional line plot (enabled via "Show McClellan Oscillator"): McClellan Oscillator, colored green when positive and red when negative. Can use actual scale or normalized to fit breadth percentages (0-100).
Horizontal Levels:
Dotted green at 70%: "Strong" level.
Dashed green at user-defined green threshold (default 60%): "Buy Zone".
Dashed yellow at user-defined yellow threshold (default 50%): "Neutral".
Dotted red at 30%: "Oversold" level.
Optional dotted lines for McClellan (when shown and not using actual scale): Overbought (red), Oversold (green), and Zero (gray), scaled to fit.
Background Coloring:
Green shades for bullish/strong bullish states.
Yellow for neutral.
Orange for caution.
Red for bearish.
Signal Shapes:
Rocket emoji (🚀) at bottom for Zweig Breadth Thrust trigger.
Green circle at bottom for recovery signal.
Red triangle down at top for negative divergence warning.
Green triangle up at bottom for positive divergence.
Light green triangle up at bottom for McClellan oversold bounce.
Green diamond at bottom for capitulation signal.
Summary Label (Right Side):
Displays current action (e.g., "BUY", "HOLD") with emoji, breadth percentages with colored circles, McClellan value with emoji, market state, risk/reward stars, and active signals.
Hover tooltip provides detailed breakdown: action priority, breadth metrics, McClellan status, momentum/trend, market state, active signals, data quality, thresholds, recent changes, and a general recommendation category.
Calculations and Logic
Breadth Percentages: Derived from S5FI/S5TH or calculated from advances/(advances + declines) * 100, with fallback adjustments.
McClellan Oscillator: Difference between fast (default 19) and slow (default 39) EMAs of net advances (advances - declines).
Momentum: 10-day change in 50-day MA breadth percentage.
Trend Analysis: Counts consecutive rising days in breadth to detect upward trends.
Breadth Thrust (Zweig): 10-day EMA of advances/total issues crossing from below a bottom level (default 40) to above a top level (default 61.5). Can use S&P or NYSE data.
Divergences: Compares S&P 500 price highs/lows with breadth or McClellan over a lookback period (default 20) to detect positive (bullish) or negative (bearish) divergences.
Market States: Determined by breadth levels relative to thresholds, trend direction, and McClellan conditions (e.g., strong bullish if above green threshold, rising, and McClellan supportive).
Actions: Prioritized logic (0-10) selects an action like "BUY" or "AVOID LONGS" based on signals, states, and conditions. Higher priority (e.g., capitulation at 10) overrides lower ones.
Alerts: Triggered on new occurrences of key conditions, such as breadth thrust, divergences, state changes, etc.
Input Parameters
The indicator offers customization through grouped inputs, but the use of defaults is encouraged.
Usage Notes
Add the indicator to a chart of any symbol (though designed around S&P 500 data; works best on daily or higher timeframes). Monitor the label and tooltip for a consolidated view of conditions. Set up alerts for specific events.
This script relies on external security requests, which may have data availability issues on certain exchanges or timeframes. The fallback mechanism ensures continuity but may differ slightly from primary sources.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute investment advice, financial recommendations, or an endorsement of any trading strategy. Market conditions can change rapidly, and users should not rely solely on this tool for decision-making. Always perform your own due diligence, consult with qualified professionals if needed, and be aware of the risks involved in trading. The author and TradingView are not responsible for any losses incurred from using this script.
Penguin Trend with RSI on DiffVisualizes volatility regime via the percent spread between the upper Bollinger Band and the upper Keltner Channel, with bar colors from a lightweight trend engine and an RSI computed on the Diff signal. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and an optional calculation timeframe. Defaults preserve the original look and behavior.
Penguin Trend with RSI on Diff shows expansion vs. compression in price action by comparing two classic volatility envelopes. It computes:
Diff% = (UpperBB − UpperKC) / UpperKC × 100
• Diff > 0: Bollinger Bands are wider than Keltner Channels → expansion / momentum regime
• Diff < 0: BB narrower than KC → compression / squeeze regime
A white “Average Diff” line smooths Diff% (default: SMA(5)) to highlight regime shifts. Bars are colored only when Diff > 0 to focus on expansion phases. A lightweight trend engine defines four states from a fast/slow MA bias and a short “thrust” MA on ohlc4:
• Green: Bullish bias and thrust > fast MA (healthy upside thrust)
• Red: Bearish bias and thrust < fast MA (healthy downside thrust)
• Yellow: Bullish bias but thrust ≤ fast MA (pullback/weakness)
• Blue: Bearish bias but thrust ≥ fast MA (bear rally/short squeeze)
RSI on Diff:
The indicator adds an RSI applied to Diff% to gauge momentum of the expansion/compression signal itself. Choose between Built-in RSI or a manual RMA-based computation, and optionally smooth it. Default OB/OS lines are 70/30.
How it works:
• Bollinger Bands (BB): Basis = selected MA of src (default SMA(20)); Width = StdDev × Mult (default 2.0)
• Keltner Channels (KC): Basis = selected MA of src (default SMA(20)); Width = ATR(kcATR) × Mult (defaults 20 and 2.0)
• Diff%: Safe division guards against division-by-zero
• MA engine: Select SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Average Diff, and trend components (VWAP is session-anchored)
• Calculation timeframe: Compute internals on a chosen TF via request.security() while viewing any chart TF
Inputs (key):
• Calculation timeframe: Empty = chart TF; set e.g., 60/240 to compute on that TF
• BB: Length, StdDev Mult, MA Type
• KC: Basis Length, ATR Length, Multiplier, MA Type
• Average Diff: Length and MA Type
• RSI on Diff: RSI Length, Method (Built-in or Manual RMA), Smoothing Length, OB/OS levels, show/hide
• Trend Engine: Fast/Slow lengths & MA type, Signal (kept for completeness), Thrust MA length & type
• Display/Visibility: Paint bars only when Diff > 0; show zero line; “true Blue” color toggle; show/hide Diff columns and Average Diff
How to use:
1. Regime changes: Watch Diff% or Average Diff crossing 0. Above zero favors momentum/continuation setups; below zero suggests compression and potential breakout conditions.
2. State confirmation: During expansion (Diff > 0), prioritize Green/Red for aligned thrust; treat Yellow/Blue as cautionary/contrarian.
3. RSI on Diff: Use OB/OS and crossovers for timing entries/exits or for confirming/negating expansion strength.
Alerts:
• Diff crosses above/below 0
• Average Diff crosses above/below 0
• RSI(Diff) crosses above OB / below OS
• State changes: GREEN / RED / YELLOW / BLUE
Notes & limitations:
• VWAP is session-anchored and best on intraday data. If not applicable on the selected calculation TF, the script automatically falls back to EMA.
• Defaults (SMA(20) for BB/KC, multipliers 2.0, SMA(5) Average Diff, original trend coloring and bar painting) preserve the original appearance.
• RSI on Diff is plotted in the same pane for a compact workflow; you can hide it or split into a separate indicator if desired.
Release notes:
v6.0 — Upgraded to Pine v6. Added multi-MA options (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP), calculation timeframe, RSI on Diff (Built-in or Manual RMA) with smoothing, safe division guard, optional zero line, and optional true Blue color. Defaults retain the original behavior.
License / disclaimer:
© waranyu.trkm — MIT License. Educational use only; not financial advice.
Penguin TrendMeasures the volatility regime by comparing the upper Bollinger Band to the upper Keltner Channel and colors bars with a lightweight trend state. Supports SMA/EMA/WMA/RMA/HMA/VWMA/VWAP and a selectable calculation timeframe. Default settings preserve the original look and behavior.
Penguin Trend visualizes expansion vs. compression in price action by comparing two classic volatility envelopes. It computes:
Diff% = (UpperBB − UpperKC) / UpperKC × 100
* Diff > 0: Bollinger Bands are wider than Keltner Channels -> expansion / momentum regime.
* Diff < 0: BB narrower than KC -> compression / squeeze regime.
A white “Average Difference” line smooths Diff% (default: SMA(5)) to help spot regime shifts.
Trend coloring (kept from original):
Bars are colored only when Diff > 0 to emphasize expansion phases. A lightweight trend engine defines four states using a fast/slow MA bias and a short “thrust” MA applied to ohlc4:
* Green: Bullish bias and thrust > fast MA (healthy upside thrust).
* Red: Bearish bias and thrust < fast MA (healthy downside thrust).
* Yellow: Bullish bias but thrust ≤ fast MA (pullback/weakness).
* Blue: Bearish bias but thrust ≥ fast MA (bear rally/short squeeze).
Note: By default, Blue renders as Yellow to preserve the original visual style. Enable “Use true BLUE color” if you prefer Aqua for Blue.
How it works (under the hood):
* Bollinger Bands (BB): Basis = selected MA of src (default SMA(20)). Width = StdDev × Mult (default 2.0).
* Keltner Channels (KC): Basis = selected MA of src (default SMA(20)). Width = ATR(kcATR) × Mult (defaults 20 and 2.0).
* Diff%: Safe division guards against division-by-zero.
* MA engine: You can choose SMA / EMA / WMA / RMA / HMA / VWMA / VWAP for BB/KC bases, Diff smoothing, and the trend components (VWAP is session-anchored).
* Calculation timeframe: Set “Calculation timeframe” to compute all internals on a chosen TF via request.security() while viewing any chart TF.
Inputs (key ones):
* Calculation timeframe: Empty = use chart TF; if set (e.g., 60), all internals compute on that TF.
* BB: Length, StdDev Mult, MA Type.
* KC: Basis Length, ATR Length, Multiplier, MA Type.
* Smoothing: Average Length & MA Type for the “Average Difference” line.
* Trend Engine: Fast/Slow lengths & MA type; Signal (kept for completeness); Thrust length & MA type (defaults replicate original behavior).
* Display: Paint bars only when Diff > 0; optional Zero line; optional true Blue color.
How to use:
1. Regime changes: Watch Diff% or Average Diff crossing 0. Above zero favors momentum/continuation setups; below zero suggests compression and potential breakout conditions.
2. State confirmation: Use bar colors to qualify expansion: Green/Red indicate expansion aligned with trend thrust; Yellow/Blue flag weaker/contrarian thrust during expansion.
3. Multi-timeframe analysis: Run calculations on a higher TF (e.g., H1/H4) while trading a lower TF chart to smooth noise.
Alerts:
* Diff crosses above/below 0.
* Average Diff crosses above/below 0.
* State changes: GREEN / RED / YELLOW / BLUE.
Notes & limitations:
* VWAP is session-anchored and best on intraday data. If not applicable on the selected calculation TF, the script automatically falls back to EMA.
* Default parameters (SMA(20) for BB/KC, multipliers 2.0, SMA(5) smoothing, trend logic and bar painting) preserve the original appearance.
Release notes:
v6.0 — Rewritten in Pine v6 with structured inputs and guards. Multi-MA support (SMA/EMA/WMA/RMA/HMA/VWMA/VWAP). Calculation timeframe via request.security() for multi-TF workflows. Safe division; optional zero line; optional true Blue color. Original visuals and behavior preserved by default.
License / disclaimer:
© waranyu.trkm — MIT License. Educational use only; not financial advice.
Market Regime Matrix [Alpha Extract]A sophisticated market regime classification system that combines multiple technical analysis components into an intelligent scoring framework to identify and track dominant market conditions. Utilizing advanced ADX-based trend detection, EMA directional analysis, volatility assessment, and crash protection protocols, the Market Regime Matrix delivers institutional-grade regime classification with BULL, BEAR, and CHOP states. The system features intelligent scoring with smoothing algorithms, duration filters for stability, and structure-based conviction adjustments to provide traders with clear, actionable market context.
🔶 Multi-Component Regime Engine Integrates five core analytical components: ADX trend strength detection, EMA-200 directional bias, ROC momentum analysis, Bollinger Band volatility measurement, and zig-zag structure verification. Each component contributes to a sophisticated scoring system that evaluates market conditions across multiple dimensions, ensuring comprehensive regime assessment with institutional precision.
// Gate Keeper: ADX determines market type
is_trending = adx_value > adx_trend_threshold
is_ranging = adx_value <= adx_trend_threshold
is_maximum_chop = adx_value <= adx_chop_threshold
// BULL CONDITIONS with Structure Veto
if price_above_ema and di_bullish
if use_structure_filter and isBullStructure
raw_bullScore := 5.0 // MAXIMUM CONVICTION: Strong signals + Bull structure
else if use_structure_filter and not isBullStructure
raw_bullScore := 3.0 // REDUCED: Strong signals but broken structure
🔶 Intelligent Scoring System Employs a dynamic 0-5 scale scoring mechanism for each regime type (BULL/BEAR/CHOP) with adaptive conviction levels. The system automatically adjusts scores based on signal alignment, market structure confirmation, and volatility conditions. Features decision margin requirements to prevent false regime changes and includes maximum conviction thresholds for high-probability setups.
🔶 Advanced Structure Filter Implements zig-zag based market structure analysis using configurable deviation thresholds to identify significant pivot points. The system tracks Higher Highs/Higher Lows (HH/HL) for bullish structure and Lower Lows/Lower Highs (LL/LH) for bearish structure, applying structure veto logic that reduces conviction when price action contradicts the underlying trend framework.
// Define Market Structure (Bull = HH/HL, Bear = LL/LH)
isBullStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_high > prev_significant_high and last_significant_low > prev_significant_low
isBearStructure = not na(last_significant_high) and not na(prev_significant_high) and
not na(last_significant_low) and not na(prev_significant_low) and
last_significant_low < prev_significant_low and last_significant_high < prev_significant_high
🔶 Superior Engine Components Features dual-layer regime stabilization through score smoothing and duration filtering. The score smoothing component reduces noise by averaging raw scores over configurable periods, while the duration filter requires minimum regime persistence before confirming changes. This eliminates whipsaws and ensures regime transitions represent genuine market shifts rather than temporary fluctuations.
🔶 Crash Detection & Active Penalties Incorporates sophisticated crash detection using Rate of Change (ROC) analysis with severity classification. When crash conditions are detected, the system applies active penalties (-5.0) to BULL and CHOP scores while boosting BEAR conviction based on crash severity. This ensures immediate regime response to major market dislocations and drawdown events.
// === CRASH OVERRIDE (Active Penalties) ===
is_crash = roc_value < crash_threshold
if is_crash
// Calculate crash severity
crash_severity = math.abs(roc_value / crash_threshold)
crash_bonus = 4.0 + (crash_severity - 1.0) * 2.0
// ACTIVE PENALTIES: Force bear dominance
raw_bearScore := math.max(raw_bearScore, crash_bonus)
raw_bullScore := -5.0 // ACTIVE PENALTY
raw_chopScore := -5.0 // ACTIVE PENALTY
❓How It Works
🔶 ADX-Based Market Classification The Market Regime Matrix uses ADX (Average Directional Index) as the primary gatekeeper to distinguish between trending and ranging market conditions. When ADX exceeds the trend threshold, the system activates BULL/BEAR regime logic using DI+/DI- crossovers and EMA positioning. When ADX falls below the ranging threshold, CHOP regime logic takes precedence, with maximum conviction assigned during ultra-low ADX periods.
🔶 Dynamic Conviction Scaling Each regime receives conviction ratings from UNCERTAIN to MAXIMUM based on signal alignment and score magnitude. MAXIMUM conviction (5.0 score) requires perfect signal alignment plus favorable market structure. The system progressively reduces conviction when signals conflict or structure breaks, ensuring traders understand the reliability of each regime classification.
🔶 Regime Transition Management Implements decision margin requirements where new regimes must exceed existing regimes by configurable thresholds before transitions occur. Combined with duration filtering, this prevents premature regime changes and maintains stability during consolidation periods. The system tracks both raw regime signals and final regime output for complete transparency.
🔶 Visual Regime Mapping Provides comprehensive visual feedback through colored candle overlays, background regime highlighting, and real-time information tables. The system displays regime history, conviction levels, structure status, and key metrics in an organized dashboard format. Regime changes trigger immediate visual alerts with detailed transition information.
🔶 Performance Optimization Features efficient array management for zig-zag calculations, smart variable updating to prevent recomputation, and configurable debug modes for strategy development. The system maintains optimal performance across all timeframes while providing institutional-grade analytical depth.
Why Choose Market Regime Matrix ?
The Market Regime Matrix represents the evolution of market regime analysis, combining traditional technical indicators with modern algorithmic decision-making frameworks. By integrating multiple analytical dimensions with intelligent scoring, structure verification, and crash protection, it provides traders with institutional-quality market context that adapts to changing conditions. The sophisticated filtering system eliminates noise while preserving responsiveness, making it an essential tool for traders seeking to align their strategies with dominant market regimes and avoid adverse market environments.
Auto Channel [SciQua]Auto Channel
Purpose
Auto Channel finds the single best parallel price channel from recent price action and keeps it updated in real time. It uses ZigZag pivots to build candidate channels, scores each candidate for quality, then plots the winner. When price closes outside the channel, the script flags a breakout and can fire alerts.
How it works
1. ZigZag pivots
The script uses TradingView’s TradingView/ZigZag/7 library to generate a stream of swing highs and lows based on a percentage reversal threshold and a leg depth. These pivots are the only points the channel logic evaluates, which keeps the search fast and focused on structure rather than noise.
2. Channel candidates
From the most recent pivots, the script forms all combinations of two swing highs and two swing lows.
It computes a slope for the high line and a slope for the low line and requires that they be nearly parallel within a user-defined tolerance.
3. Quality scoring and selection
For every valid candidate, the script checks the recent pivot segments against the trial channel and computes:
Inside ratio: fraction of tested pivots that sit fully inside the channel after applying the tolerance buffer.
Violation sum: total magnitude of the breaches for any pivots outside the channel.
Current width: distance between upper and lower lines at the current bar.
The “best” channel is chosen by:
1. highest inside ratio
2. then widest current width
3. then smallest violation sum
4. Plot and projection
The upper and lower lines are anchored to the chosen pivot pairs and extend to the left. The script also projects each line to the current bar to compute the live upper and lower channel prices. Those levels drive the breakout checks and alerts.
5. Breakouts and alerts
A breakout is detected when the bar closes above the projected upper line or closes below the projected lower line, after applying the tolerance buffer. Triangle markers highlight fresh breakouts, and you can enable alert conditions to automate notification or strategy handoff.
Inputs:
ZigZag
Price deviation for reversals (%)
Default 0.2. Larger values produce fewer, larger swings. Smaller values produce more, smaller swings.
Pivot legs
Default 2. Controls the lookback depth ZigZag uses to confirm pivots.
ZigZag Color
Visual only.
Tip: If you are not seeing a stable channel, increase the ZigZag percentage to reduce minor swings.
Channel search
Number of recent pivots to consider
Default 12. Higher values search more history and try more channel combinations. Lower values make the search faster and more reactive.
Max slope difference for parallel
Default 0.0005. Maximum allowed difference between the upper and lower line slopes. Smaller values enforce stricter parallelism.
Max price tolerance outside channel
Default 0.0. A buffer added to the channel boundaries during validation and breakout checks. Use this to ignore tiny wicks that poke the lines.
Minimum inside to outside pivots ratio for valid channel (0.00–1.00)
Default 1.00. Require that at least this fraction of checked pivots lie inside the channel. For a more permissive fit, try 0.60 to 0.85.
Styling
Upper Line Color
Lower Line Color
Breakout Above Color
Breakout Below Color
Plots and visuals
Upper channel line
Lower channel line
Triangle markers on the bar that first confirms a close outside the channel, above or below.
Lines extend left from their pivot anchors. Projection to the current bar is used internally to test for breakouts and to set alerts.
Alerts
The script defines two alert conditions:
Close Above Channel
Triggers when the bar closes above the projected upper line plus tolerance.
Close Below Channel
Triggers when the bar closes below the projected lower line minus tolerance.
Practical usage
Trend channels
In a steady trend, a high inside ratio with a moderate width often highlights the dominant channel. Consider trend entries near the lower line in an uptrend or near the upper line in a downtrend, with exits or stops beyond the opposite boundary.
Breakout trades
Combine the channel breakout alert with volume or a separate momentum filter. The tolerance input helps avoid false triggers from small wicks.
Tuning for timeframe and symbol
• Faster markets or lower timeframes usually benefit from a larger ZigZag percentage and a smaller pivot count.
• Slower markets or higher timeframes can use more pivots and a tighter slope difference to enforce cleaner geometry.
Notes and limitations
Channels are derived from ZigZag pivots. If your ZigZag settings change, the detected channel will also change.
The script plots only the single best channel at any time to keep the chart clean.
Breakout markers appear on confirmed bars. For historical bars, markers appear only where a breakout would have been confirmed at that time.
Lines extend left from their anchors. The script projects the lines internally to the current bar for checks and alerts.
License and attribution
License
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
Open source for educational and personal use only. Commercial use requires written permission.
Attribution
© 2025 SciQua — Joshua Danford
Libraries
Uses TradingView/ZigZag/7.
Changelog
v1.0
Initial release. Automatic parallel channel detection from ZigZag pivots, quality scoring, live plotting, and close-based breakout alerts.
FAQ
Why do I not see any channel sometimes?
There may not be a valid pair of highs and lows that pass the slope, inside ratio, and tolerance checks. Loosen the constraints by increasing Max slope difference, lowering Minimum inside ratio, or increasing the ZigZag percentage.
The channel looks too narrow or too wide?
Adjust Number of recent pivots and Minimum inside ratio. A higher inside ratio tends to favor cleaner, sometimes wider channels. A lower ratio may admit narrower, more reactive channels.
How can I reduce false breakout alerts?
Increase Max price tolerance outside channel to ignore small wicks. Add a volume or momentum confirmation in your personal alert workflow.
Thank you for using Auto Channel . Feedback and improvements are welcome.
تلوين الشموع حسب الحجم (يومي أو متوسط)📊 Indicator Name:
Candle Coloring Based on Volume Change (Flexible Comparison)
🎯 Purpose of the Indicator:
This indicator colors candlesticks based solely on changes in volume, regardless of price direction. It helps traders visualize unusual volume activity and potential accumulation or distribution zones.
It also displays the percentage change in volume above each candle — based on a comparison method chosen by the user.
⚙️ User Inputs:
Comparison Method (Mode):
"Compare with Previous Day":
The volume of the current candle is compared with the volume of the previous candle.
"Compare with Average of N Days":
The volume is compared with a moving average of volume over a number of past days (e.g., 10 days).
Average Length (for mode 2):
Used only when "Compare with Average" is selected.
Defines the number of days over which to calculate the volume average.
Minimum % Change to Show Label:
A threshold that controls when the percentage label appears.
Prevents label clutter for insignificant volume changes.
🎨 Candle Coloring Logic:
Condition Meaning Candle Color
Current volume > reference volume High activity 🟢 Green
Current volume < reference volume Low activity 🔴 Red
Nearly equal volumes Normal ⚪ Gray
🏷️ Volume Change Label:
The indicator displays a percentage change label above the candle.
For example:
If volume increased by 45% → label shows +45.00%.
If the change exceeds ±50%, the label turns yellow to indicate a significant spike.
✅ Key Benefits:
Quickly detects unusual volume activity (e.g., spikes, drops).
Enhances classic price-action analysis with volume context.
Flexible comparison:
Day-to-day for short-term traders.
Moving average for swing and position traders.
Clean, minimalist design with conditional labels.
🔍 Use Case Examples:
🔴 Red candle on price rise → weak rally (low participation).
🟢 Green candle on price drop → potential distribution.
⚪ Gray candles → sideways or stable behavior.
👤 Who Should Use It?
Day traders and scalpers monitoring volume strength.
Technical analysts who focus on volume-price behavior.
Traders who track accumulation/distribution patterns.
Earnings [theUltimator5]This indicator highlights daily price changes on earnings announcement days using dynamic colors, labels, and optional earnings markers.
🔍 Key Features:
Earnings Detection:
Highlights only the days when an earnings event occurs.
Price Change Calculation:
Computes the percentage change from open to close on earnings day.
Color-coded Labels:
Displays the % change as a floating label above the chart on earnings days.
Color intensity reflects the size and direction of the move:
Bright green for large gains (≥ +10%)
Bright red for large losses (≤ -10%)
White for negligible change
Gradient fades between those extremes
Optional "Earnings" Marker:
A small label marked “Earnings” appears beneath the % change label, controlled by a user toggle.
Background Highlight:
The chart background is shaded on earnings days with a semi-transparent color based on the % change.
⚙️ User Input:
✅ Show 'E' Marker: Toggles the visibility of the "Earnings" label below the main price change label.
✅ Ideal Use Case:
Use this indicator to visually analyze how a stock reacts on earnings days, helping traders spot consistent behavior patterns (e.g., post-earnings rallies or selloffs).
DECODE Global Liquidity IndexDECODE Global Liquidity Index 🌊
The DECODE Global Liquidity Index is a powerful tool designed to track and aggregate global liquidity by combining data from the world's 13 largest economies. It offers a comprehensive view of financial liquidity, providing crucial insights into the underlying currents that can influence asset prices and market trends.
The economies covered are: United States, China, European Union, Japan, India, United Kingdom, Brazil, Canada, Russia, South Korea, Australia, Mexico, and Indonesia. The European Union accounts for major individual economies within the EU like Germany, France, Italy, Spain, Netherlands, Poland, etc.
Key Features:
1. Customizable Liquidity Sources
Include Global M2: You can opt to include the M2 money supply from the 13 listed economies. M2 is a broad measure of money supply that includes cash, checking deposits, savings deposits, money market securities, mutual funds, and other time deposits. (Note: Australia uses M3 as its primary measure, which is included when M2 is selected for Australia).
Include Central Bank Balance Sheets (CBBS): Alternatively, or in addition, you can include the total assets held by the central banks of these economies. Central bank balance sheets expand or contract based on monetary policy operations like quantitative easing (QE) or tightening (QT).
Combined View: If you select both M2 and CBBS, and data is available for both, the indicator will display an average of the two aggregated values. If only one source type is selected, or if data for one type is unavailable despite both being selected, the indicator will display the single available and selected component. This provides flexibility in how you define and analyze global liquidity.
2. Lead/Lag Analysis (Forward Projection):
Lead Offset (Days): This feature allows you to project the liquidity index forward by a specified number of days.
Why it's useful: Global liquidity changes can often be a leading indicator for various asset classes, particularly those sensitive to risk appetite, like Bitcoin or growth stocks. These assets might lag shifts in liquidity. By applying a lead (e.g., 90 days), you can shift the liquidity data forward on your chart to more easily visualize potential correlations and identify if current asset price movements might be responding to past changes in liquidity.
3. Rate of Change (RoC) Oscillator:
Year-over-Year % View: Instead of viewing aggregate liquidity, you can switch to a Year-over-Year (YoY%) Rate of Change (ROC) oscillator.
Why it's useful:
Momentum Identification: The ROC highlights the speed and direction of liquidity changes. Positive values indicate liquidity is increasing compared to a year ago, while negative values show it's decreasing.
Turning Points: Oscillators make it easier to spot potential accelerations, decelerations, or reversals in liquidity trends. A cross above the zero line can signal strengthening liquidity momentum, while a cross below can signal weakening momentum.
Cycle Analysis: It helps in assessing the cyclical nature of liquidity provision and its potential impact on market cycles.
This indicator aims to provide a clear, customizable, and insightful measure of global liquidity to aid traders and investors in their market analysis.
Liquidity Sweep Candlestick Pattern with MA Filter📌 Liquidity Sweep Candlestick Pattern with MA Filter
This custom indicator detects liquidity sweep candlestick patterns—price action events where the market briefly breaks a previous candle’s high or low to trap traders—paired with optional filters such as moving averages, color change candles, and strictness rules for better signal accuracy.
🔍 What is a Liquidity Sweep?
A liquidity sweep occurs when the price briefly breaks the high or low of a previous candle and then reverses direction. These events often occur around key support/resistance zones and are used by institutional traders to trap retail positions before moving the price in the intended direction.
🟢 Bullish Liquidity Sweep Criteria
The current candle is bullish (closes above its open).
The low of the current candle breaks the low of the previous candle.
The candle closes above the previous candle’s open.
Optionally, in Strict mode, it must also close above the previous candle’s high.
Optionally, it can be filtered to only show if the candle changed color from the previous one (e.g., red to green).
Can be filtered to only show when the price is above or below a moving average (if MA filter is enabled).
🔴 Bearish Liquidity Sweep Criteria
The current candle is bearish (closes below its open).
The high of the current candle breaks the high of the previous candle.
The candle closes below the previous candle’s open.
Optionally, in Strict mode, it must also close below the previous candle’s low.
Optionally, it can be filtered to only show if the candle changed color from the previous one (e.g., green to red).
Can be filtered to only show when the price is above or below a moving average (if MA filter is enabled).
⚙️ Features & Customization
✅ Signal Strictness
Choose between:
Less Strict (default): Basic wick break and close conditions.
Strict: Must close beyond the wick of the previous candle.
✅ Color Change Candles Only
Enable this to only show patterns when the candle color changes (e.g., from red to green or green to red). Helps filter fake-outs.
✅ Moving Average Filter (optional)
Supports several types of MAs: SMA, EMA, WMA, VWMA, RMA, HMA
Choose whether signals should only appear above or below the selected moving average.
✅ Custom Visuals
Show short (BS) or full (Bull Sweep / Bear Sweep) labels
Plot triangles or arrows to represent bullish and bearish sweeps
Customize label and shape colors
Optionally show/hide the moving average line
✅ Alerts
Includes alert options for:
Bullish sweep
Bearish sweep
Any sweep
📈 How to Use
Add the indicator to your chart.
Configure the strictness, color change, or MA filters based on your strategy.
Observe signals where price is likely to reverse after taking out liquidity.
Use with key support/resistance levels, order blocks, or volume zones for confluence.
⚠️ Note
This tool is for educational and strategy-building purposes. Always confirm signals with other indicators, context, and sound risk management.
MestreDoFOMO MACD VisualMasterDoFOMO MACD Visual
Description
MasterDoFOMO MACD Visual is a custom indicator that combines a unique approach to MACD with stochastic logic and simulated Renko-based direction signals. It is designed to help traders identify entry and exit opportunities based on market momentum and trend changes, with a clear and intuitive visualization.
How It Works
Stylized MACD with Stochastic: The indicator calculates the MACD using EMAs (exponential moving averages) normalized by stochastic logic. This is done by subtracting the lowest price (lowest low) from a defined period and dividing by the range between the highest and lowest price (highest high - lowest low). The result is a MACD that is more sensitive to market conditions, magnified by a factor of 10 for better visualization.
Signal Line: An EMA of the MACD is plotted as a signal line, allowing you to identify crossovers that indicate potential trend reversals or continuations.
Histogram: The difference between the MACD and the signal line is displayed as a histogram, with distinct colors (fuchsia for positive, purple for negative) to make momentum easier to read.
Simulated Renko Direction: Uses ATR (Average True Range) to calculate the size of Renko "bricks", generating signals of change in direction (bullish or bearish). These signals are displayed as arrows on the chart, helping to identify trend reversals.
Purpose
The indicator combines the sensitivity of the Stochastic MACD with the robustness of Renko signals to provide a versatile tool. It is ideal for traders looking to capture momentum-based market movements (using the MACD and histogram) while confirming trend changes with Renko signals. This combination reduces false signals and improves accuracy in volatile markets.
Settings
Stochastic Period (45): Sets the period for calculating the Stochastic range (highest high - lowest low).
Fast EMA Period (12): Period of the fast EMA used in the MACD.
Slow EMA Period (26): Period of the slow EMA used in the MACD.
Signal Line Period (9): Period of the EMA of the signal line.
Overbought/Oversold Levels (1.0/-1.0): Thresholds for identifying extreme conditions in the MACD.
ATR Period (14): Period for calculating the Renko brick size.
ATR Multiplier (1.0): Adjusts the Renko brick size.
Show Histogram: Enables/disables the histogram.
Show Renko Markers: Enables/disables the Renko direction arrows.
How to Use
MACD Crossovers: A MACD crossover above the signal line indicates potential bullishness, while below suggests bearishness.
Histogram: Fuchsia bars indicate bullish momentum; purple bars indicate bearish momentum.
Renko Arrows: Green arrows (upward triangle) signal a change to an uptrend; red arrows (downward triangle) signal a downtrend.
Overbought/Oversold Levels: Use the levels to identify potential reversals when the MACD reaches extreme values.
Notes
The chart should be set up with this indicator in isolation for better clarity.
Adjust the periods and ATR multiplier according to the asset and timeframe used.
Use the built-in alerts ("Renko Up Signal" and "Renko Down Signal") to set up notifications of direction changes.
This indicator is ideal for day traders and swing traders who want a visually clear and functional tool for trading based on momentum and trends.
Information Asymmetry Gradient (IAG) What is the Information Asymmetry Gradient (IAG)?
The Information Asymmetry Gradient (IAG) is a unique market regime and imbalance detector that quantifies the subtle, directional “information flow” in price and volume. Inspired by information theory and market microstructure, IAG is designed to help traders spot the early buildup of conviction or surprise—the kind of hidden imbalance that often precedes major price moves.
Unlike traditional volume or momentum indicators, IAG focuses on the efficiency and directionality of information transfer: how much “informational energy” is being revealed by up-moves versus down-moves, normalized by price movement. It’s not just about net flow, but about the quality and asymmetry of that flow.
Theoretical Foundation
Information Asymmetry: Markets move when new information is revealed. If one side (buyers or sellers) is consistently more “informationally efficient” per unit of price change, an imbalance is building—even if price hasn’t moved much yet.
Gradient: By tracking the rate of change (gradient) between fast and slow information flows, IAG highlights when a subtle imbalance is accelerating.
Volatility of Asymmetry: Sudden spikes in the volatility of information asymmetry often signal regime uncertainty or the approach of a “surprise” move.
How IAG Works
Directional Information Content: For each bar, IAG estimates the “information per unit of price change” for both up-moves and down-moves, using volume and price action.
Asymmetry Calculation: Computes the difference (or ratio) between up and down information content, revealing directional bias.
Gradient Detection: Calculates both a fast and slow EMA of the asymmetry, then measures their difference (the “gradient”), normalized as a Z-score.
Volatility of Asymmetry: Tracks the standard deviation of asymmetry over a rolling window, with Z-score normalization to spot “information shocks.”
Flow Strength: Quantifies the conviction of the current information flow on a 0–100 scale.
Regime Detection: Flags “extreme” asymmetry, “building” flow, and “high volatility” states.
Inputs:
🌌 Core Asymmetry Parameters
Fast Information Period (short_len, default 8): EMA period for detecting immediate information flow changes.
5–8: Scalping (1–5min)
8–12: Day trading (15min–1hr)
12–20: Swing trading (4hr+)
Slow Information Period (long_len, default 34): EMA period for baseline information context. Should be 3–5x fast period.
Default (34): Fibonacci number, stable for most assets.
Gradient Smoothing (gradient_smooth, default 3): Smooths the gradient calculation.
1–2: Raw, responsive
3–5: Balanced
6–10: Very smooth
📊 Asymmetry Method
Calculation Mode (calc_mode, default "Weighted"):
“Simple”: Basic volume split by direction
“Weighted”: Volume × price movement (default, most robust)
“Logarithmic”: Log-scaled for large moves
Use Ratio (show_ratio, default false):
“Difference”: UpInfo – DownInfo (additive)
“Ratio”: UpInfo / DownInfo (multiplicative, better for comparing volatility regimes)
🌊 Volatility Analysis
Volatility Window (stdev_len, default 21): Lookback for measuring asymmetry volatility.
Volatility Alert Level (vol_threshold, default 1.5): Z-score threshold for volatility alerts.
🎨 Visual Settings
Color Theme (color_theme, default "Starry Night"):
Van Gogh-inspired palettes:
“Starry Night”: Deep blues and yellows
“Sunflowers”: Warm yellows and browns
“Café Terrace”: Night blues and warm lights
“Wheat Field”: Golden and sky blue
Show Swirl Effects (show_swirls, default true): Adds swirling background to visualize information turbulence.
Show Signal Stars (show_stars, default true): Star markers at significant asymmetry points.
Show Info Dashboard (show_dashboard, default true): Top-right panel with current metrics and market state.
Show Flow Visualization (show_flow, default true): Main gradient line with artistic effects.
Color Schemes
Dynamic color gradients adapt to both the direction and intensity of the information gradient, using Van Gogh-inspired palettes for visual clarity and artistic flair.
Glow and aura effects: The main line is layered with glows for depth and to highlight strong signals.
Swirl background: Visualizes the “turbulence” of information flow, darker and more intense as flow strength and volatility rise.
Visual Logic
Main Gradient Line: Plots the normalized information gradient (Z-score), color-coded by direction and intensity.
Glow/Aura: Multiple layers for visual depth and to highlight strong signals.
Threshold Zones: Dotted lines and filled areas mark “Building” and “Extreme” asymmetry zones.
Volatility Ribbon: Area plot of volatility Z-score, highlighting information shocks.
Signal Stars: Circular markers at each “Extreme” event, color-coded for bullish/bearish; cross markers for volatility spikes.
Dashboard: Top-right panel shows current status (Extreme, Building, High Volatility, Balanced), gradient value, flow strength, information balance, and volatility status.
Trading Guide: Bottom-left panel explains all states and how to interpret them.
How to Use IAG
🌟 EXTREME: Major information imbalance—potential for explosive move or reversal.
🌙 BUILDING: Asymmetry is forming—watch for a breakout or trend acceleration.
🌪️ HIGH VOLATILITY: Information flow is unstable—expect regime uncertainty or “surprise” moves.
☁️ BALANCED: No clear bias—market is in equilibrium.
Positive Gradient: Bullish information flow (buyers have the edge).
Negative Gradient: Bearish information flow (sellers have the edge).
Flow >66%: Strong conviction—crowd is acting in unison.
Volatility Spike: Regime uncertainty—be alert for sudden moves.
Tips:
- Use lower periods for scalping, higher for swing trading.
- “Weighted” mode is most robust for most assets.
- Combine with price action or your own system for confirmation.
- Works on all assets and timeframes—tune to your style.
Alerts
IAG Extreme Asymmetry: Extreme information asymmetry detected.
IAG Building Flow: Information flow building.
IAG High Volatility: Information volatility spike.
IAG Bullish/Bearish Extreme: Directional extreme detected.
Originality & Usefulness
IAG is not a mashup of existing indicators. It is a novel approach to quantifying the “surprise” or “conviction” element in market moves, focusing on the efficiency and directionality of information transfer per unit of price change. The multi-layered color logic, artistic visual effects, and regime dashboard are unique to this script. IAG is designed for anticipation, not confirmation—helping you see subtle imbalances before they become obvious in price.
Chart Info
Script Name: Information Asymmetry Gradient (IAG) – Starry Night
Recommended Use: Any asset, any timeframe. Tune parameters to your style.
Disclaimer
This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results.
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Triple Exponential Moving Average (TEMA)The Triple Exponential Moving Average (TEMA) is an advanced technical indicator designed to significantly reduce the lag inherent in traditional moving averages while maintaining signal quality. Developed by Patrick Mulloy in 1994 as an extension of his DEMA concept, TEMA employs a sophisticated triple-stage calculation process to provide exceptionally responsive market signals.
TEMA's mathematical approach goes beyond standard smoothing techniques by using a triple-cascade architecture with optimized coefficients. This makes it particularly valuable for traders who need earlier identification of trend changes without sacrificing reliability. Since its introduction, TEMA has become a key component in many algorithmic trading systems and professional trading platforms.
▶️ **Core Concepts**
Triple-stage lag reduction: TEMA uses a three-level EMA calculation with optimized coefficients (3, -3, 1) to dramatically minimize the delay in signal generation
Enhanced responsiveness: Provides significantly faster reaction to price changes than standard EMA or even DEMA, while maintaining reasonable smoothness
Strategic signal processing: Employs mathematical techniques to extract the underlying trend while filtering random price fluctuations
Timeframe effectiveness: Performs well across multiple timeframes, though particularly valued in short to medium-term trading
TEMA achieves its enhanced responsiveness through an innovative triple-cascade architecture that strategically combines three levels of exponential moving averages. This approach effectively removes the lag component inherent in EMA calculations while preserving the essential smoothing benefits.
▶️ **Common Settings and Parameters**
Length: Default: 12 | Controls sensitivity/smoothness | When to Adjust: Increase in choppy markets, decrease in strongly trending markets
Source: Default: Close | Data point used for calculation | When to Adjust: Change to HL2/HLC3 for more balanced price representation
Corrected: Default: false | Adjusts internal EMA smoothing factors for potentially faster response | When to Adjust: Set to true for a modified TEMA that may react quicker to price changes. false uses standard TEMA calculation
Visualization: Default: Line | Display format on charts | When to Adjust: Use filled cloud to see divergence from price more clearly
Pro Tip: For optimal trade signals, many professional traders use two TEMAs (e.g., 8 and 21 periods) and look for crossovers, which often provide earlier signals than traditional moving average pairs.
▶️ **Calculation and Mathematical Foundation**
Simplified explanation:
TEMA calculates three levels of EMAs, then combines them using a special formula that amplifies recent price action while reducing lag. This triple-processing approach effectively eliminates much of the delay found in traditional moving averages.
Technical formula:
TEMA = 3 × EMA₁ - 3 × EMA₂ + EMA₃
Where:
EMA₁ = EMA(source, α₁)
EMA₂ = EMA(EMA₁, α₂)
EMA₃ = EMA(EMA₂, α₃)
The smoothing factors (α₁, α₂, α₃) are determined as follows:
Let α_base = 2/(length + 1)
α₁ = α_base
If corrected is false:
α₂ = α_base
α₃ = α_base
If corrected is true:
Let r = (1/α_base)^(1/3)
α₂ = α_base * r
α₃ = α_base * r * r = α_base * r²
The corrected = true option implements a variation that uses progressively smaller alpha values for the subsequent EMA calculations. This approach aims to optimize the filter's frequency response and phase lag.
Alpha Calculation for corrected = true:
α₁ (alpha_base) = 2/(length + 1)
r = (1/α₁)^(1/3) (cube root relationship)
α₂ = α₁ * r = α₁^(2/3)
α₃ = α₂ * r = α₁^(1/3)
Mathematical Rationale for Corrected Alphas:
1. Frequency Response Balance:
The standard TEMA (where α₁ = α₂ = α₃) can lead to an uneven frequency response, potentially over-smoothing high frequencies or creating resonance artifacts. The geometric progression of alphas (α₁ > α₁^(2/3) > α₁^(1/3)) in the corrected version aims to create a more balanced filter cascade. Each stage contributes more proportionally to the overall frequency response.
2. Phase Lag Optimization:
The cube root relationship between the alphas is designed to minimize cumulative phase lag while maintaining smoothing effectiveness. Each subsequent EMA stage has a progressively smaller impact on phase distortion.
3. Mathematical Stability:
The geometric progression (α₁, α₁^(2/3), α₁^(1/3)) can enhance numerical stability due to constant ratios between consecutive alphas. This helps prevent the accumulation of rounding errors and maintains consistent convergence properties.
Practical Impact of corrected = true:
This modification aims to achieve:
Potentially better lag reduction for a similar level of smoothing
A more uniform frequency response across different market cycles
Reduced overshoot or undershoot in trending conditions
Improved signal-to-noise ratio preservation
Essentially, the cube root relationship in the corrected TEMA attempts to optimize the trade-off between responsiveness and smoothness that can be a challenge with uniform alpha values.
🔍 Technical Note: Advanced implementations apply compensation techniques to all three EMA stages, ensuring TEMA values are valid from the first bar without requiring a warm-up period. This compensation corrects initialization bias and prevents calculation errors from compounding through the cascade.
▶️ **Interpretation Details**
TEMA excels at identifying trend changes significantly earlier than traditional moving averages, making it valuable for both entry and exit signals:
When price crosses above TEMA, it often signals the beginning of an uptrend
When price crosses below TEMA, it often signals the beginning of a downtrend
The slope of TEMA provides insight into trend strength and momentum
TEMA crossovers with price tend to occur earlier than with standard EMAs
When multiple-period TEMAs cross each other, they confirm significant trend shifts
TEMA works exceptionally well as a dynamic support/resistance level in trending markets
For optimal results, traders often use TEMA in combination with momentum indicators or volume analysis to confirm signals and reduce false positives.
▶️ **Limitations and Considerations**
Market conditions: The high responsiveness can generate false signals during highly choppy, sideways markets
Overshooting: More aggressive lag reduction leads to more pronounced overshooting during sharp reversals
Parameter sensitivity: Changes in length have more dramatic effects than in simpler moving averages
Calculation complexity: Triple cascaded EMAs make behavior less predictable and more resource-intensive
Complementary tools: Should be used with confirmation tools like RSI, MACD or volume indicators
▶️ **References**
Mulloy, P. (1994). "Smoothing Data with Less Lag," Technical Analysis of Stocks & Commodities .
Mulloy, P. (1995). "Comparing Digital Filters," Technical Analysis of Stocks & Commodities .
Volume-Price Momentum IndicatorVolume-Price Momentum Indicator (VPMI)
Overview
The Volume-Price Momentum Indicator (VPMI), developed by Kevin Svenson , is a powerful technical analysis tool designed to identify strong bullish and bearish momentum in price movements, driven by volume dynamics. By analyzing price changes and volume surges over a user-defined lookback period, VPMI highlights potential trend shifts and continuation patterns through a smoothed histogram, optional labels, and background highlights. Ideal for traders seeking to capture momentum-driven opportunities, VPMI is suitable for various markets, including stocks, forex, and cryptocurrencies.
How It Works
VPMI calculates the difference between volume-weighted buying and selling pressure based on price changes over a specified lookback period. It amplifies signals during high-volume periods, applies smoothing to reduce noise, and uses momentum checks to detect sustained trends.
Indicator display:
A histogram that oscillates above (bullish) or below (bearish) a zero line, with brighter colors indicating stronger momentum and faded colors for weaker signals.
Optional labels ("Bullish" or "Bearish") to mark significant momentum shifts.
Optional background highlights to visually emphasize strong trend conditions.
Alerts to notify users when strong bullish or bearish momentum is detected.
Key Features
Customizable Settings:
Adjust the lookback period, volume threshold, momentum length, and smoothing to suit your trading style.
Volume Sensitivity:
Emphasizes price movements during high-volume surges, enhancing signal reliability.
Momentum Detection: Uses linear regression and momentum change to confirm sustained trends, reducing false signals.
Visual Clarity:
Offers a clear histogram with color-coded signals, plus optional labels and backgrounds for enhanced chart readability.
Alerts:
Configurable alerts for strong momentum signals, enabling timely trade decisions.
Inputs and Customization
Lookback Period (Default: 9):
Sets the number of bars to analyze price changes. Higher values smooth signals but may lag.
Volume Threshold (Default: 1.4):
Defines the volume level (relative to a 20-period SMA) that qualifies as a surge, amplifying signals.
High Volume Multiplier (Default: 1.5):
Boosts histogram values during high-volume periods for stronger signals.
Histogram Smoothing Length (Default: 4):
Controls the EMA smoothing applied to the histogram, reducing noise.
Momentum Check Length (Default: 4):
Sets the period for momentum trend analysis (recommended to be less than Lookback Period).
Momentum Threshold (Default: 6):
Defines the minimum momentum change required for strong signals.
Show Labels (Default: Off):
Toggle to display "Bullish" or "Bearish" labels on significant momentum shifts.
Show Backgrounds (Default: Off):
Toggle to highlight chart backgrounds during strong momentum periods.
Bullish/Bearish Colors:
Customize colors for bullish (default: green) and bearish (default: red) signals.
Faded Transparency (Default: 40):
Adjusts the transparency of weaker signals for visual distinction.
How to Use
Interpret Signals:
Above Zero (Green):
Indicates bullish momentum. Bright green suggests strong, sustained buying pressure.
Below Zero (Red):
Indicates bearish momentum. Bright red suggests strong, sustained selling pressure.
Faded Colors:
Weaker momentum, potentially signaling consolidation or trend exhaustion.
Enable Visuals:
Turn on "Show Labels" and "Show Backgrounds" in the settings for additional context on strong momentum signals.
Set Alerts:
Use the built-in alert conditions ("Strong Bullish Momentum" or "Strong Bearish Momentum") to receive notifications when significant trends emerge.
Combine with Other Tools:
Pair VPMI with support/resistance levels, trendlines, or other indicators (e.g., RSI, MACD) for confirmation.
Best Practices
Timeframe:
VPMI works on all timeframes, but shorter timeframes (e.g., 5m, 15m) may produce more signals, while longer timeframes (e.g., 1h, 4h, 1D) offer higher reliability.
Market Conditions:
Most effective in trending markets. In choppy or sideways markets, consider increasing the smoothing length or momentum threshold to filter noise.
Risk Management:
Always use VPMI signals in conjunction with a robust trading plan, including stop-losses and position sizing.
Limitations
Lagging Nature:
As a momentum indicator, VPMI may lag in fast-moving markets due to smoothing and lookback calculations.
False Signals:
In low-volume or ranging markets, signals may be less reliable. Adjust the volume threshold or momentum settings to improve accuracy.
Customization Required:
Optimal settings vary by asset and timeframe. Experiment with inputs to align with your trading strategy.
Why Use VPMI?
VPMI offers a unique blend of volume and price momentum analysis, making it a versatile tool for traders seeking to identify high-probability trend opportunities. Its customizable inputs, clear visuals, and alert capabilities empower users to tailor the indicator to their needs, whether for day trading, swing trading, or long-term analysis.
Get Started
Apply VPMI to your chart, tweak the settings to match your trading style, and start exploring momentum-driven opportunities. For questions or feedback, consult TradingView’s community forums or documentation. Happy trading!
UM Futures Dashboard with Moving Average DirectionUM Futures Dashboard with Moving Average Direction
Description :
This futures dashboard gives you quick glance of all “major” futures prices and percentage changes. The text color and trends are based on your configured moving average type and length. The dashboard will display LONG in green text when the configure MA is trending higher and SHORT in red when the configured MA is trending lower. The dashboard also includes the VIX futures roll yield and VIX futures status of Contango or Backwardation.
I have included the indicator twice on the sample chart to illustrate different table settings. I also included an 8 period WMA overlay on the price chart since this is the default of the dashboard. (The Moving Average color change is another one of my indicators titled “UM EMA SMA WMA HMA with Directional Color Change”)
Defaults and Configuration :
The default MA type is the Weighted Moving Average, (WMA) with a daily setting of 8. Choices include WMA, SMA, and EMA. The table location defaults to the upper right corner in landscape mode. It can also be set to “flip” to portrait mode. I have added the table to the chart twice to illustrate the table orientations.
Table location, orientation, timeframe, moving average type and length are user-configurable. The configured dashboard timeframe is independent of the chart timeframe. Percentage changes and Moving Averages are based on the configured dashboard timeframe.
Alerts :
Alerts can be configured on the directional change of the dashboard moving average. For example, if the daily 8 period weighted moving average begins trending higher it will turn from red to green. This color change would fire a LONG alert. A color trend change of the weighted moving average from green to red would fire a SHORT alert. Alerts are disabled by default but can be set for any or all of the futures contracts included.
Suggested Uses :
If you follow or trade futures, add this dashboard indicator to your chart layout. Configure your favorite moving average. Use this to quickly see where all the major futures are trading. This saved me from thumbing through the CNBC app on my phone.
One thing I do is to “stretch” moving average to a smaller timeframe. For example, if you like the 8 period WMA on the daily, try the 192 WMA on the hourly. ( The daily 8 period WMA is roughly a 192 WMA on an hourly chart) This can smooth out some of the violent price action and give better entries/exits.
Setup a FUTURES indicator template. I do this with the dashboard and couple other of my favorite indicators.
Suggested Settings :
Daily charts: 8 WMA
Ehlers Adaptive Trend Indicator [Alpha Extract]Ehlers Adaptive Trend Indicator
The Ehlers Adaptive Trend Indicator combines Ehlers' advanced digital signal processing techniques with dynamic volatility bands to identify robust trend conditions and potential reversals. This powerful tool helps traders visualize trend strength, adaptive support/resistance levels, and momentum shifts across various market conditions.
🔶 CALCULATION
The indicator employs a sophisticated adaptive algorithm that responds to changing market conditions:
• Ehlers Filter : Calculates a weighted average based on momentum differences to create an adaptive trend baseline.
• Dynamic Bands : Volatility-adjusted bands that expand and contract based on recent price action.
• Trend Level : A dynamic support/resistance level that adapts to the current trend direction.
• Smoothed Volatility : Market volatility measured and smoothed to provide reliable band width.
Formula:
• Ehlers Basis = Weighted average of price, with weights determined by momentum differences
• Volatility = Standard deviation of price over Ehlers Length period
• Smoothed Volatility = EMA of volatility over Smoothing Length
• Upper Band = Ehlers Basis + Smoothed Volatility × Sensitivity
• Lower Band = Ehlers Basis - Smoothed Volatility × Sensitivity
• Trend Level = Adaptive support in uptrends, resistance in downtrends
🔶 DETAILS
Visual Features :
• Ehlers Basis Line (Yellow): The core adaptive trend reference that serves as the primary trend indicator.
• Trend Level Line (Dynamic Color): Changes between green (bullish) and red (bearish) based on the current trend state.
• Fill Areas : Transparent green fill during bullish trends and transparent red fill during bearish trends for clear visual identification.
• Bar Coloring : Optional price bar coloring that reflects the current trend direction for enhanced visualization.
Interpretation :
• **Bullish Signal**: Price crosses above the upper band, triggering a trend change with the Trend Level becoming dynamic support.
• **Bearish Signal**: Price drops below the lower band, confirming a trend change with the Trend Level becoming dynamic resistance.
• **Trend Continuation**: Trend Level rises in bullish markets and falls in bearish markets, providing adaptive trailing support/resistance.
🔶 EXAMPLES
The chart demonstrates:
• Bullish Trend Identification : When price breaks above the upper band, the indicator shifts to bullish mode with green trend level and fill.
• Bearish Trend Identification : When price falls below the lower band, the indicator shifts to bearish mode with red trend level and fill.
• Trend Persistence : Trend Level adapts to market movement, rising during uptrends to provide dynamic support and falling during downtrends to act as resistance.
Example Snapshots :
• During a strong uptrend, the Trend Level continuously adjusts upward, keeping traders in the trend while filtering out minor retracements.
• During trend reversals, clear color changes and Trend Level shifts provide early warning of potential direction changes.
🔶 SETTINGS
Customization Options :
• Ehlers Length (p1) (Default: 30): Controls the primary adaptive calculation period, balancing responsiveness with stability.
• Momentum Length (p2) (Default: 25): Determines the lag for momentum calculations used in the adaptive weighting.
• Smoothing Length (Default: 10): Adjusts the volatility smoothing period—higher values provide more stable bands.
• Sensitivity (Default: 1.0): Multiplier for band width—higher values increase distance between bands, lower values tighten them.
• Visual Settings : Customizable colors for bullish and bearish trends, basis line, and optional bar coloring.
The Ehlers Adaptive Trend Indicator combines John Ehlers' digital signal processing expertise with modern volatility analysis to create a robust trend-following system that adapts to changing market conditions, helping traders stay on the right side of the market.
Uptrick: Time Based ReversionIntroduction
The Uptrick: Time Based Reversion indicator is designed to provide a comprehensive view of market momentum and potential trend shifts by combining multiple moving averages, a streak-based trend analysis system, and adaptive color visualization. It helps traders identify strong trends, spot potential reversals, and make more informed trading decisions.
Purpose
The primary goal of this indicator is to assist traders in distinguishing between sustained market movements and short-lived fluctuations. By evaluating how price behaves relative to its moving averages, and by measuring consecutive streaks above or below these averages, the indicator highlights areas where trends are likely to continue or lose momentum.
Overview
Uptrick: Time Based Reversion calculates one or more moving averages of price data and then tracks the number of consecutive bars (streaks) above or below these averages. This streak-based detection provides insight into whether a trend is gaining strength or nearing a potential reversal point. The indicator offers:
• Multiple moving average types (SMA, EMA, WMA)
• Optional second and third moving average layers for additional smoothing of first moving average
• A streak detection system to quantify trend intensity
• A dynamic color scheme that changes with streak strength
• Optional buy and sell signals for potential trade entries and exits
• A ribbon mode that applies moving averages to Open, High, Low, and Close prices for a more detailed visualization of overall trend alignment
Originality and Uniqueness
Unlike traditional moving average indicators, Uptrick: Time Based Reversion incorporates a streak measurement system to detect trend strength. This approach helps clarify whether a price movement is merely a quick fluctuation or part of a longer-lasting trend. Additionally, the optional ribbon mode extends this logic to Open, High, Low, and Close prices, creating a layered and intuitive visualization that shows complete trend alignment.
Inputs and Features
1. Enable Ribbon Mode
This input lets you activate or deactivate the ribbon display of multiple moving averages. When enabled, the script plots moving averages for the Open, High, Low, and Close prices and uses color fills to show whether these four data points are collectively above or below their respective moving averages.
2. Color Scheme Selection
Users can choose from several predefined color schemes, such as Default, Emerald, Crimson, Sapphire, Gold, Purple, Teal, Orange, Gray, Lime, or Aqua. Each scheme assigns distinct bullish, bearish and neutral colors..
3. Show Buy/Sell Signals
The indicator can display buy or sell signals based on its streak analysis logic. These signals appear as markers on the chart, indicating a “Safe Uptrend” (buy) or “Safe Downtrend” (sell).
4. Moving Average Types and Lengths
• First MA Type and Length: Choose SMA, EMA, or WMA along with a customizable period.
• Second and Third MA Types and Lengths: You can optionally stack additional moving averages for further smoothing, each with its own customizable type and period.
5. Streak Threshold Multiplier
This numeric input determines how strong a streak must be before the script considers it a “safe” trend. A higher multiplier requires a longer or more intense streak for a buy or sell signal.
6. Dynamic Transparency Calculation
The color intensity adapts to the streak’s strength. Longer streaks increase the transparency of the opposing color, making the current dominant color stand out. This feature ensures that a vigorous uptrend or downtrend is visually distinct from short-lived or weaker moves.
7. Ribbon Moving Averages
In ribbon mode, the script calculates moving averages for the Open, High, Low, and Close prices. Each of these is optionally smoothed again if the second and/or third moving average layers are active. The final result is a ribbon of moving averages that helps confirm whether the market is uniformly aligned above or below these key reference points.
Calculation Methodology
1. Initial Moving Average
The script calculates the first moving average (SMA, EMA, or WMA) of the closing price over a user-defined period.
2. Optional Secondary and Tertiary Averages
If selected, the script then applies a second and/or third smoothing step. Each of these steps can be a different type of moving average (SMA, EMA, or WMA) with its own period length.
3. Streak Detection
The indicator counts consecutive bars above or below the smoothed moving average. A running total (streakUp or streakDown) increments with every bar that remains above or below that average.
4. Reversion Intensity
The script compares the current streak value to its own average (calculated over the final chosen period). This ratio determines whether the streak is nearing a likely reversion or is strong enough to continue.
5. Color Assignment and Signals
The indicator calculates color transparency based on streak intensity. Buy and sell signals appear when the streak meets or exceeds the threshold multiplier, indicating a safe uptrend or downtrend.
Color Schemes and Visualization
This indicator offers multiple predefined color sets. Each scheme specifies a unique bullish color, bearish color and neutral color. The script automatically varies transparency to highlight strong trends and fade weaker ones, making it visually clear when a trend is intensifying or losing momentum.
Smoothing Techniques
By allowing up to three layers of moving average smoothing, the indicator accommodates different trading styles. A single layer provides faster reactions to market changes, while more layers reduce noise at the cost of slower responsiveness. Traders can choose the right balance between responsiveness and stability for their strategy, whether it is short-term scalping or long-term trend following.
Why It Combines Specific Smoothing Techniques
The Uptrick: Time Based Reversion indicator strategically combines specific smoothing techniques—SMA, EMA, and WMA—to leverage their complementary strengths. The SMA provides stable and consistent trend identification by equally weighting all data points, while the EMA emphasizes recent price movements, allowing quicker responses to market changes. WMA enhances sensitivity to recent price shifts, which helps in detecting subtle momentum changes early. By integrating these methods in layers, the indicator effectively balances responsiveness with stability, helping traders clearly identify genuine trend changes while filtering out short-term noise and false signals.
Ribbon Mode
If Open, High, Low, and Close prices remain above or below their respective moving averages consistently, the script colors the bars fully bullish or bearish. When the data points are mixed, a neutral color is applied. This mode provides a thorough perspective on whether the entire price range is aligned in one direction or showing conflicting signals.
Summary
Uptrick: Time Based Reversion combines multiple moving averages, streak detection, and dynamic color adjustments to help traders identify significant trends and potential reversal areas. Its flexibility allows it to be used either in a simpler form, with one moving average and streak analysis, or in a more advanced configuration with ribbon mode that charts multiple smoothed averages for a deeper understanding of price alignment. By adapting color intensities based on streak strength and providing optional buy/sell signals, this indicator delivers a clear and flexible tool suited to various trading strategies.
Disclaimer
This indicator is designed as an analysis aid and does not guarantee profitable trades. Past performance does not indicate future success, and market conditions can change unexpectedly. Users are advised to employ proper risk management and thoroughly evaluate trades before taking positions. Use this indicator as part of a broader strategy, not as a sole decision-making tool.
Non-Repainting Renko Emulation Strategy [PineIndicators]Introduction: The Repainting Problem in Renko Strategies
Renko charts are widely used in technical analysis for their ability to filter out market noise and emphasize price trends. Unlike traditional candlestick charts, which are based on fixed time intervals, Renko charts construct bricks only when price moves by a predefined amount. This makes them useful for trend identification while reducing small fluctuations.
However, Renko-based trading strategies often fail in live trading due to a fundamental issue: repainting .
Why Do Renko Strategies Repaint?
Most trading platforms, including TradingView, generate Renko charts retrospectively based on historical price data. This leads to the following issues:
Renko bricks can change or disappear when new data arrives.
Backtesting results do not reflect real market conditions. Strategies may appear highly profitable in backtests because historical data is recalculated with hindsight.
Live trading produces different results than backtesting. Traders cannot know in advance whether a new Renko brick will form until price moves far enough.
Objective of the Renko Emulator
This script simulates Renko behavior on a standard time-based chart without repainting. Instead of using TradingView’s built-in Renko charting, which recalculates past bricks, this approach ensures that once a Renko brick is formed, it remains unchanged .
Key benefits:
No past bricks are recalculated or removed.
Trading strategies can execute reliably without false signals.
Renko-based logic can be applied on a time-based chart.
How the Renko Emulator Works
1. Parameter Configuration & Initialization
The script defines key user inputs and variables:
brickSize : Defines the Renko brick size in price points, adjustable by the user.
renkoPrice : Stores the closing price of the last completed Renko brick.
prevRenkoPrice : Stores the price level of the previous Renko brick.
brickDir : Tracks the direction of Renko bricks (1 = up, -1 = down).
newBrick : A boolean flag that indicates whether a new Renko brick has been formed.
brickStart : Stores the bar index at which the current Renko brick started.
2. Identifying Renko Brick Formation Without Repainting
To ensure that the strategy does not repaint, Renko calculations are performed only on confirmed bars.
The script calculates the difference between the current price and the last Renko brick level.
If the absolute price difference meets or exceeds the brick size, a new Renko brick is formed.
The new Renko price level is updated based on the number of bricks that would fit within the price movement.
The direction (brickDir) is updated , and a flag ( newBrick ) is set to indicate that a new brick has been formed.
3. Visualizing Renko Bricks on a Time-Based Chart
Since TradingView does not support live Renko charts without repainting, the script uses graphical elements to draw Renko-style bricks on a standard chart.
Each time a new Renko brick forms, a colored rectangle (box) is drawn:
Green boxes → Represent bullish Renko bricks.
Red boxes → Represent bearish Renko bricks.
This allows traders to see Renko-like formations on a time-based chart, while ensuring that past bricks do not change.
Trading Strategy Implementation
Since the Renko emulator provides a stable price structure, it is possible to apply a consistent trading strategy that would otherwise fail on a traditional Renko chart.
1. Entry Conditions
A long trade is entered when:
The previous Renko brick was bearish .
The new Renko brick confirms an upward trend .
There is no existing long position .
A short trade is entered when:
The previous Renko brick was bullish .
The new Renko brick confirms a downward trend .
There is no existing short position .
2. Exit Conditions
Trades are closed when a trend reversal is detected:
Long trades are closed when a new bearish brick forms.
Short trades are closed when a new bullish brick forms.
Key Characteristics of This Approach
1. No Historical Recalculation
Once a Renko brick forms, it remains fixed and does not change.
Past price action does not shift based on future data.
2. Trading Strategies Operate Consistently
Since the Renko structure is stable, strategies can execute without unexpected changes in signals.
Live trading results align more closely with backtesting performance.
3. Allows Renko Analysis Without Switching Chart Types
Traders can apply Renko logic without leaving a standard time-based chart.
This enables integration with indicators that normally cannot be used on traditional Renko charts.
Considerations When Using This Strategy
Trade execution may be delayed compared to standard Renko charts. Since new bricks are only confirmed on closed bars, entries may occur slightly later.
Brick size selection is important. A smaller brickSize results in more frequent trades, while a larger brickSize reduces signals.
Conclusion
This Renko Emulation Strategy provides a method for using Renko-based trading strategies on a time-based chart without repainting. By ensuring that bricks do not change once formed, it allows traders to use stable Renko logic while avoiding the issues associated with traditional Renko charts.
This approach enables accurate backtesting and reliable live execution, making it suitable for trend-following and swing trading strategies that rely on Renko price action.
No wick candlesОпис коду:
Цей скрипт для Pine Script v6 аналізує свічки на графіку і визначає свічки, що не мають фітіля знизу або згори. Він позначає їх відповідними маркерами та змінює колір свічок на помаранчевий для покращення видимості. Цей індикатор допомагає трейдерам ідентифікувати важливі зони на графіку, де свічки мають специфічні риси (без фітіля), і використовується для виявлення потенційних точок для подальших торгівельних рішень.
Що робить цей індикатор:
Зелені свічки без фітіля знизу: Це свічки, у яких ціна відкриття дорівнює мінімуму свічки. Вони позначаються зеленими стрілками під свічкою.
Червоні свічки без фітіля згори: Це свічки, у яких ціна відкриття дорівнює максимуму свічки. Вони позначаються червоними стрілками над свічкою.
Зміна кольору свічок: Свічки, що відповідають умовам (без фітіля знизу або згори), змінюють свій колір на помаранчевий для підвищення видимості та чіткого виділення важливих зон.
Як використовувати:
Цей індикатор допомагає вам ідентифікувати зони, де ціна не має фітіля знизу (для зелених свічок) або згори (для червоних свічок). Ці свічки можуть бути важливими для трейдерів, оскільки вони часто сигналізують про сильні рівні підтримки або опору, де ймовірно відбудеться ретест.
Важливо:
Чекати ретест зони: Після появи таких свічок (особливо у зонах підтримки або опору) можна очікувати, що ці рівні будуть перевірені ще раз. Якщо ціни повертаються до цих зон, це може бути сигналом для входу в ринок.
Торгівля на ретестах: Якщо ціна після першого відскоку знову наближається до цієї зони (де була свічка без фітіля), можна очікувати відскок або продовження тренду, що створює можливість для вхідної позиції.
_______________________________
Description:
This Pine Script v6 indicator analyzes the candles on the chart and identifies those that have no lower or upper wicks. It marks these candles with appropriate markers and changes the candle colors to orange for better visibility. This indicator helps traders identify important zones on the chart where candles exhibit specific characteristics (no wicks), which can be used to spot potential trading opportunities.
What this indicator does:
Green candles with no lower wick: These are candles where the opening price equals the low of the candle. They are marked with a green arrow below the candle.
Red candles with no upper wick: These are candles where the opening price equals the high of the candle. They are marked with a red arrow above the candle.
Candle color change: Candles that meet the conditions (no lower or upper wick) change their color to orange for better visibility and to clearly highlight important zones.
How to use:
This indicator helps you identify zones where prices have no lower wick (for green candles) or no upper wick (for red candles). These candles may be important for traders, as they often indicate strong support or resistance levels where a retest is likely to occur.
Important:
Wait for a zone retest: After these candles appear (especially at support or resistance zones), you can expect these levels to be tested again. If the price returns to these zones, it could signal an opportunity to enter the market.
Trading on retests: If the price approaches the zone (where a wickless candle occurred) again, it may indicate a bounce or trend continuation, which provides a potential entry point.
Advanced Candlestick Pattern DetectorWhat Does This Indicator Do?
This indicator looks at the way price moves in the market using candlesticks (those red and green bars you see on charts). It tries to find special patterns like Bullish Engulfing, Hammer, Doji, and others. When one of these patterns shows up, the indicator checks a bunch of filters to decide if the pattern is strong enough to be a signal to buy or sell.
The Main Parts of the Indicator
1. Candlestick Pattern Detection
Bullish Engulfing:
Imagine you see a small down candle (red) and then a big up candle (green) that completely “covers” the red one. That’s a bullish engulfing pattern. It can signal that buyers are taking over.
Bearish Engulfing:
The opposite of bullish engulfing. A small up candle (green) is followed by a big down candle (red) that covers the previous candle. This suggests sellers might be in control.
Hammer & Shooting Star:
Hammer: A candle with a very short body and a long shadow at the bottom. It shows that buyers stepped in after a drop.
Shooting Star:
Similar to the hammer but with a long shadow on top. It can indicate that sellers are starting to push the price down.
Doji:
A candle with almost no body. This means the opening and closing prices are very close. It shows indecision in the market.
Harami Patterns (Bullish & Bearish):
These are two-candle patterns where the second candle is completely inside the body of the first candle. They signal that the previous trend might be about to change.
Morning Star & Evening Star:
These are three-candle patterns.
Morning Star:
Often seen at the bottom of a downtrend, it can signal a reversal to an uptrend.
Evening Star:
Seen at the top of an uptrend, it can signal that the price may soon go down.
2. Filters: Making the Signals Smarter
The indicator doesn’t just rely on patterns. It uses several “filters” to decide if a pattern is strong enough to trade on. Here’s what each filter does:
a. Adaptive Thresholds (ATR-Based)
What It Is:
The indicator uses something called ATR (Average True Range) to see how much the price is moving (volatility).
How It Works:
Instead of using fixed numbers to decide if a candle is a Hammer or a Doji, it adjusts these numbers based on current market activity.
User Settings:
Use Adaptive Thresholds: Turn this on to let the indicator adjust automatically.
Body Factor, Shadow Factor, Doji Factor: These numbers are multipliers that decide how small or big the body and shadows of the candle should be. You can change them if you want the indicator to be more or less sensitive.
b. Volume Filter
What It Is:
Volume shows how many trades are happening.
How It Works:
The filter checks if the current volume is higher than the average volume (multiplied by a set factor). This helps ensure that the signal isn’t coming from a very quiet market.
User Settings:
Use Volume Filter: Turn this on if you want to ignore signals when there’s not much trading.
Volume MA Period & Volume Multiplier: These settings determine what “normal” volume is and how much higher the current volume must be to count.
c. Multi-Timeframe Trend Filter
What It Is:
This filter looks at a bigger picture by using a moving average (MA) from a higher timeframe (for example, daily charts).
How It Works:
For a bullish (buy) signal, the indicator checks if the price is above this MA.
For a bearish (sell) signal, the price must be below the MA.
User Settings:
Use Multi-Timeframe Trend Filter: Enable or disable this filter.
Higher Timeframe for Trend: Choose which timeframe (like Daily) to use.
Trend MA Type (SMA or EMA) & Trend MA Period: Choose the type of moving average and how many candles to average.
d. Additional Trend Filters (ADX & RSI)
ADX Filter:
What It Is:
ADX stands for Average Directional Index. It measures how strong a trend is.
How It Works:
If the ADX is above a certain threshold, it means the trend is strong.
User Setting:
ADX Threshold: Set the minimum strength the trend should have.
RSI Filter:
What It Is:
RSI (Relative Strength Index) tells you if the price is overbought (too high) or oversold (too low).
How It Works:
For a buy signal, RSI should be low (under a set threshold).
For a sell signal, RSI should be high (above a set threshold).
User Settings:
RSI Buy Threshold & RSI Sell Threshold: These set the levels for buying or selling.
3. How the Final Signal Is Determined
For a signal (buy or sell) to be generated, the indicator first checks if one of the candlestick patterns is present. Then it goes through all these filters (trend, volume, ADX, RSI). Only if everything is in line will it show:
A BUY signal when all bullish conditions are met.
A SELL signal when all bearish conditions are met.
4. Visual Elements on the Chart
Trend MA Line:
A blue line is drawn on your chart showing the moving average from the higher timeframe (if you enable the trend filter). This helps you see the overall direction of the market.
Labels on the Chart:
When a signal is detected, you’ll see:
A BUY label below the candle (green).
A SELL label above the candle (red).
Background Colors:
The chart background might change slightly (green for bullish and red for bearish) to give you a quick visual cue.
Histogram:
At the bottom, there is a histogram that shows +1 for bullish signals, -1 for bearish signals, and 0 when there’s no clear signal.
5. Alerts
Alerts are built into the indicator so you can get a notification when a signal appears. The alert messages are fixed strings, meaning they always say something like “BUY signal on at price .” You can set up these alerts in TradingView to be notified via sound, email, or pop-up.
How to Use and Adjust the Filters
Deciding on Patterns:
You can choose which candlestick patterns you want to detect by toggling the options (e.g., Bullish Engulfing, Hammer, etc.).
Adjusting Adaptive Thresholds:
If you feel that the indicator is too sensitive (or not sensitive enough) during volatile times, adjust the Body Factor, Shadow Factor, and Doji Factor. These change how the indicator recognizes different candle shapes based on market movement.
Volume Filter Settings:
Use Volume Filter:
Turn this on if you want to ignore signals when there’s not enough trading activity.
Adjust the Volume MA Period and Volume Multiplier to change what “normal” volume is for your chart.
Multi-Timeframe Trend Filter Settings:
Choose a higher timeframe (like Daily) to see the bigger picture trend. Select the type of moving average (SMA or EMA) and its period. This filter ensures you only trade in the direction of the overall trend.
ADX & RSI Filters:
ADX:
Adjust the ADX Threshold if you want to change the minimum strength of the trend needed for a signal.
RSI:
Set the RSI Buy Threshold (for oversold conditions) and RSI Sell Threshold (for overbought conditions) to refine when a signal is valid.
Summary
This indicator is like having a smart assistant that not only looks for specific price patterns (candlesticks) but also checks if the overall market conditions are right using several filters. By combining:
Pattern Detection
Adaptive thresholds (based on ATR)
Volume Checks
Multi-Timeframe Trend Analysis
Additional Trend Strength and Overbought/Oversold Indicators (ADX & RSI)
...it helps you decide if it might be a good time to buy or sell. You can customize each part to fit your trading style, and with the built-in alerts, you can be notified when everything lines up.
Feel free to adjust the settings to see how each filter changes the signals on your chart. Experimenting with these will help you learn how the market behaves and how you can best use the indicator for your own strategy!
Power Trend [MacAlgo]Description:
The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes.
Key Features:
Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection.
Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends.
Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions.
Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements.
Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences.
Highlighting: Highlights trending bars for easy visualization of market conditions.
Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time.
How it Works:
1. ATR-Based Trend Calculation:
ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe.
Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines.
2. Moving Averages:
EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends.
AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference.
3. Volume Analysis:
Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength.
Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements.
4. Momentum Indicators:
RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength.
5. Signal Generation:
Standard Signals: Basic buy and sell signals based on trend crossovers.
Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades.
Customization Options:
Tailor the Power Trend Indicator to your specific trading needs with the following settings:
ATR Period: Set the period for ATR calculation (default: 8).
ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0).
Source: Choose the price source (e.g., HL2, Close) for calculations.
Change ATR Calculation Method: Toggle between different ATR calculation methods.
Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart.
Highlighting: Turn on or off the bar highlighting feature.
Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set
the indicator's timeframe.
Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes).
Visual Components:
Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral).
Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line.
Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals.
Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors.
Highlighting: Transparent overlays highlight trending areas to enhance visual clarity.
Alerts:
Stay informed with customizable alerts that notify you of important market movements:
SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated.
Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions.
Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa.
How to Use:
Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView.
Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing.
Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend.
Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points.
Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities.
Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience.
Important Notes:
Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy.
Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary.
Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital.
Disclaimer:
This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
