VixTrixVixTrix - Because markets move in both directions.
VixTrix was born from a fundamental limitation in traditional volatility indicators: they only measure downside panic, completely missing the greed-driven extremes that form market tops.
How It Works:
Dual-Component Analysis:
vixBear = Panic selling intensity (distance from recent highs)
vixBull = FOMO buying intensity (distance from recent lows)
Oscillator = vixBear - vixBull = Net fear/greed imbalance
When the oscillator is positive, fear dominates (potential bottom forming). When negative, greed dominates (potential top forming).
Professional-Grade Filtering:
The magic happens with the symmetric RMS (Root Mean Square) bands. Unlike fixed percentage bands or standard deviation, RMS:
Creates mathematically symmetric positive/negative thresholds
Naturally adapts to changing volatility regimes
Provides statistical significance to extremes
VixTrix also adds selectable MA smoothing for the RMS calculation:
WMA (default): Balanced – middle-ground approach
VWMA: Volume-weighted – filters low-volume noise
EMA: Responsive – catches quick reversals
SMA: Stable – for swing trading
HMA: Fast and smooth – ideal for day trading
Signals require triple confirmation:
Statistical Extreme: Oscillator beyond RMS band
Price Action Confirmation: Correct candle color (bullish for bottoms, bearish for tops)
Momentum Continuation: Oscillator still moving toward extreme (exhaustion)
This multi-filter approach reduces premature entries and false signals while maintaining early positioning at potential reversal points.
Why This Matters for Your Trading:
In bull markets, traditional fear indicators sit near zero, giving no warning of impending tops.
VixTrix identifies when greed becomes excessive – when FOMO buying reaches statistical extremes that often precede corrections.
In range-bound markets, VixTrix excels at identifying overreactions in both directions, providing high-probability mean reversion opportunities.
During crashes, it captures the panic selling with the same precision as VixFix, but with better timing through its momentum confirmation.
VixTrix spots continuations through:
"No Signal" = Healthy Trend – Oscillator stays between RMS bands (no exhaustion)
Failed Extremes – Touches band but no triple confirmation = trend likely continues
Hidden Divergence – Price makes higher low while oscillator makes shallower low = uptrend continues
Controlled Emotions – Oscillator negative but not extreme in uptrends (greed present but not excessive)
Key Insight: When VixTrix doesn't give a signal during a pullback, institutions aren't panicking – they're just pausing before resuming the trend.
Green columns = Bullish exhaustion (potential bottoms)
Red columns = Bearish exhaustion (potential tops)
Golden RMS bands = Dynamic thresholds adapting to current volatility
Background highlights = Active signal conditions
The Result: A professional-grade oscillator that works in all market conditions – trending up, trending down, or ranging – by measuring the complete emotional spectrum driving price action.
M-oscillator
Dynamic MAs Zscore | Lyro RSThe Dynamic MAs Zscore is an adaptive momentum and valuation oscillator built around advanced moving averages and statistical Z-Score normalization. By combining a wide selection of moving average types with dynamic deviation bands, this indicator delivers clear insights into trend strength , directional bias , and relative valuation — all in a clean, visually intuitive format.
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Key Features
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Dynamic Moving Average Engine
Applies one of 12 selectable moving average types (SMA, EMA, WMA, VWMA, HMA, ALMA, TEMA, etc.) to the chosen source. This allows fine-tuning between responsiveness and smoothness depending on market conditions.
Z-Score Normalization
Transforms the selected moving average into a standardized Z-Score:
(MA − mean) / standard deviation
This normalization makes momentum strength comparable across assets and timeframes.
Adaptive Deviation Bands
Upper and lower bands are derived from the rolling standard deviation of the Z-Score:
Custom band length
Independent positive and negative multipliers
These bands dynamically expand and contract with volatility.
Dual Signal Modes
Trend Mode – Focuses on directional continuation. Color changes and signals occur when Z-Score breaks above or below deviation bands.
Valuation Mode – Highlights relative overvaluation and undervaluation using a gradient color scale and predefined value zones.
Advanced Visual System
Includes bold layered plots, gradient fills, background shading, and candle/bar coloring to clearly reflect current market state.
Custom Color Palettes
Choose from multiple preset themes (Classic, Mystic, Accented, Royal) or define your own bullish and bearish colors.
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How It Works
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MA Calculation – The selected moving average type is applied to the chosen price source.
Z-Score Computation – The MA is normalized over a user-defined lookback period to quantify deviation from its mean.
Band Construction – Standard deviation of the Z-Score is calculated over the band length and scaled by positive/negative multipliers.
Mode-Dependent Logic
Trend Mode – Breaks above the upper band signal bullish momentum; breaks below the lower band signal bearish momentum.
Valuation Mode – A gradient reflects relative valuation from undervalued to overvalued, with background highlights at extreme Z-Score levels.
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Signal Interpretation
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Trend Confirmation
In Trend Mode, sustained moves beyond deviation bands indicate strong directional bias.
Momentum Strength
The distance of the Z-Score from zero reflects the intensity of trend momentum.
Relative Valuation
In Valuation Mode, deep negative Z-Scores suggest undervaluation, while high positive Z-Scores suggest overvaluation.
Visual Clarity
Bar and candle coloring aligned with oscillator state allows for rapid assessment of market conditions.
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Customization
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Adjust MA type and length to balance speed vs. smoothness.
Modify Z-Score length to control sensitivity.
Tune band length and multipliers for volatility adaptation.
Switch between Trend and Valuation modes depending on strategy.
Personalize visuals using preset or custom color palettes.
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Alerts
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Bullish condition when Z-Score > 0
Bearish condition when Z-Score < 0
Overvalued and undervalued valuation alerts
⚠️ Disclaimer
This indicator is intended for technical analysis and educational purposes only. It does not guarantee profitable outcomes and should be used alongside other tools, confirmation methods, and sound risk management. The author is not responsible for any financial decisions made using this indicator.
Disparity Offset [WizardTrendsInc]Disparity Offset
Description
Disparity Offset measures how far price is offset from a selected moving average, expressed as a percentage. It shows whether price is trading above or below its average and by how much, helping visualize price extension, balance, and deviation from the mean. The indicator oscillates around a zero line, where zero represents price being aligned with the moving average.
How to Use Disparity Offset
Zero Line (0%)
When the Disparity Offset is near zero, price is close to the moving average, suggesting equilibrium.
Positive Values
Values above zero indicate price is above the moving average. Larger positive readings show stronger upward offset from the average.
Negative Values
Values below zero indicate price is below the moving average. Larger negative readings show stronger downward offset
Upper & Lower Offset Zones
The configurable upper and lower percentage levels highlight when price is relatively far from the moving average. Movement back toward the zero line can be used to study mean-reversion behavior.
Visual Aids
Histogram bars show direction and intensity of the offset
Shaded zones emphasize overextended conditions
Optional markers display crossings of offset levels and the zero line for observation and learning
"Disclaimer: This indicator is intended for educational purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own research and consult with a licensed financial advisor before making any trading decisions.
ARDO - Adaptive Regression Deviation Oscillator (v2.4.6)ARDO – Adaptive Regression Deviation Oscillator (v2.4.6)
ARDO (Adaptive Regression Deviation Oscillator) quantifies deviation of price structure from a regression-based equilibrium baseline using adaptive moving-average spreads. It combines percentile-normalized distance, linear-regression slope, and dynamic gradient scaling to reveal trend extension, exhaustion, and regime shifts—offering a structural view of trend integrity and mean-reversion timing beyond traditional momentum oscillators. It is designed to help you answer two questions:
Where are we in the regime? (extended, neutral, or reversal-prone)
Is this a “trade” environment or a “stand aside” environment? (Gate PASS vs Gate BLOCK / drift)
ARDO is best used as a context + timing framework , not a standalone entry/exit system.
What you see in the ARDO pane
1) Spread A (% vs baseline)
Primary “timing” spread (default: stepline). Spread A is colored by a 4-state maColor model:
GREEN : above baseline and strengthening
ORANGE : above baseline but weakening
RED : below baseline and weakening
GRAY : below baseline but improving
2) Spread B (% vs baseline)
Secondary “context” spread (default: columns). Same 4-state color model as above, often used to confirm or filter Spread A behavior.
3) LinReg (slope-gradient)
A LinReg line fit to a selected source (Spread A / Spread B / Spread A+B). ARDO applies a slope-magnitude gradient (opacity/intensity) to visualize regime:
Stronger slope magnitude = stronger directional regime
Fading / low slope magnitude = drift / dead-zone (lower edge, choppy conditions, or end-of-move)
4) Tier zones (Q0–Q2, H2–H4)
ARDO classifies LinReg values into percentile tiers (extremes and mid-tiers). These tiers can be rendered as:
Background regions, or
Zero-line marker circles (“MK …” plots)
Important: Background colors do not export . The “MK Q0 … MK H4” series are emitted so you can reconstruct tier membership in CSV/backtests.
5) Gate PASS / Gate BLOCK
A compact “permission layer” that can require:
Spread A > LinReg
EMA Fast > EMA Slow
Minimum Spread A threshold
Minimum absolute LinReg slope
Use Gate PASS to focus on higher-quality conditions; use Gate BLOCK as a “do nothing / reduce size” warning.
Key settings (what they change)
Tier Mode
Standard: symmetric cut structure (general purpose)
Asymmetric: separate tuning for highs vs lows (often better when upside and downside behavior are not symmetric)
Tier Population
All Bars (LinReg): tiers represent the full LinReg distribution
Pivots Only: tiers are computed from pivot events only (can tighten “extreme” definition and change how frequently zones appear)
Render Mode
Background: easiest to read visually
Zero-line Markers: best for export/backtesting workflows (MK series)
Gating options
Turn on/off each rule independently; adjust thresholds to match symbol volatility and timeframe.
Color overrides
Optional per-state color customization for Spread A, Spread B, and LinReg (4-state).
Alerts included (v2.4.6)
ARDO exposes named alerts you can use for automation or review, including:
Gradient / regime alerts (HIGH vs LOW slope-magnitude regimes; regime shift transitions)
Color-state changes (Spread B → GREEN/ORANGE/RED/GRAY; LinReg state changes)
Tier entry alert s (LinReg entering key tiers such as Q0/Q1/H3/H4)
Structural primitives (Bullish A > B, Bearish A < B, Gate PASS/BLOCK, crosses of 0, etc.)
How to use (practical workflow)
Anchor timeframe (65m or Daily): identify regime (tiers + gradient) and whether you should be aggressive or defensive.
Execution timeframe (5m/1m): time entries using Spread A/B structure and Gate PASS, aligned with the anchor regime.
Avoid forcing trades in drift: fading gradient + mid/low-edge tiers often marks “dead-zone” conditions.
Notes / limitations
ARDO is a context engine: it describes regime and location, not guaranteed direction.
Tier thresholds are distribution-based and will vary by window/timeframe.
Always apply your own risk management; this script is not financial advice.
Adaptive Signal IndicatorAdaptive Signal Indicator
Overview
The Adaptive Signal Indicator is a multi-timeframe confirmation system designed to help traders and investors identify potential entry and exit points. It automatically adjusts its analysis timeframes based on your chart's timeframe, providing consistent signal logic whether you're viewing 15-minute or weekly charts.
How It Works
This indicator combines multiple technical components that must align before generating a signal. However, the signal has a heavier weighting on price action because real investors know that "Only Price Pays." Additionally, rather than relying on a single indicator, it requires confirmation across several dimensions:
Trend Analysis — Evaluates short-term price structure using dual exponential moving averages
Wave Detection — Monitors momentum shifts using smoothed momentum calculations
Flow Tracking — Analyzes volume dynamics to confirm price movements have participation
Pulse Filter — Ensures signals align with the current directional bias of oscillator momentum
Macro Alignment — Checks higher-timeframe trend agreement before triggering signals
Drift Gate — Requires short-term trend confirmation on the daily timeframe
Cross Detection — Identifies key moving average crossovers on the daily timeframe
Range Position — Uses volatility bands to filter signals at extreme price levels
Signal Logic
Buy signals require:
Multiple bullish confirmations across different analysis methods
Macro trend not in bearish alignment
Pulse filter confirming upward momentum
Drift gate showing bullish daily bias
Sell signals require:
Bearish momentum confirmation
Macro trend not in bullish alignment
Pulse filter confirming downward momentum
Dashboard
Two real-time tables display:
Status Panel (Top Right)
Current state of all 8 analysis components
Color-coded for quick visual assessment
Shows conditions count and last signal status with % change since signal
Statistics Panel (Bottom Right)
Total signals generated
Success rate with win/loss breakdown
Average return per signal
Average winning and losing trade percentages
Profit factor
Maximum win and loss percentages
Key Features
✓ Adaptive Timeframes — Automatically selects appropriate analysis timeframes based on your chart
✓ Multiple Confirmations — Reduces false signals by requiring agreement across different analysis methods
✓ Clear Signals — Distinct BUY/SELL markers with no ambiguity
✓ Built-in Statistics — Track historical performance directly on chart
✓ Works on Any Market — Stocks, crypto, forex, indices, commodities
✓ Clean Visual Design — Overlay design keeps your chart readable
Best Practices
Use this indicator as one component of your overall trading plan
Consider your own risk management rules for position sizing and stop losses
Backtest on your preferred markets and timeframes before live trading
Signals work best in trending market conditions (the indicator filters for trend strength)
Who This Is For
Traders who prefer a systematic approach with clearly defined entry conditions. Suitable for swing trading and position trading timeframes. The multi-confirmation requirement means fewer signals, but each signal has passed multiple filters.
Note: Past performance shown in the statistics panel is based on historical data and does not guarantee future results. This indicator provides analysis tools to support your trading decisions—it is not financial advice. Always use proper risk management
MACD-V Multi-Timeframe Confluence DashboardThis indicator identifies high-probability trade entries by analyzing momentum alignment across multiple timeframes using the MACD-V (Volatility Normalized MACD) formula. It features a fully customizable signal engine that allows traders to specify exactly which timeframes must agree before a trade signal is generated.
Optimized Defaults
By default, the indicator is tuned to the 5-minute, 15-minute, and 1-hour timeframes. We have found this specific combination performs best for identifying robust trends while filtering out noise. However, the strategy is fully flexible—users can easily adjust these settings to fit scalping (1m/5m) or swing trading (4H/Daily) styles.
Indicator Features
Dynamic Confluence: A Buy or Sell signal (displayed as a large + on the chart) is generated only when all selected timeframes are in agreement. This ensures you are trading with the dominant trend across multiple time scales.
Alternating Signal Filter: To prevent repetitive alerts during strong trends, the script uses a smart filter: a new Buy signal will only trigger if the last confirmed signal was a Sell (and vice versa).
Live Dashboard: An on-screen table displays the real-time status of every timeframe (Trend, Curl, and MACD Value). Timeframes currently active in your strategy are highlighted in yellow.
Local Entry Arrows (Optional): The script includes smaller red/green arrows that indicate simple MACD line crosses on the current chart's timeframe. These can be useful for precise timing but can be noisy in choppy markets. These are turned off by default to keep the chart clean, but can be enabled in the "Visuals" settings if you require granular entry signals.
How to Use
Check the Dashboard: Look for the yellow-highlighted rows in the table to see which timeframes are currently driving your signals.
Wait for the Cross (+): A green + indicates bullish momentum is aligned across all your chosen timeframes.
Refine (Optional): Turn on "Show Local Arrows" if you want to see the specific moment the MACD crosses on your current timeframe to fine-tune your entry.
Combined: Gann HL + Supertrend + Supertrend v6Combined: Gann HL + Supertrend + Supertrend v6
Included Indicators
1. Gann High-Low Activator
A dynamic trend tool that flips direction when price crosses its smoothed high/low average. Gann signals often catch clean directional swings and act as an excellent early trend filter.
2. Standard Supertrend (ATR-based)
The classic trend-following indicator using average true range for volatility-adaptive stop levels. Its direction flips mark trend reversals, especially effective in trending markets.
3. Orekhov Supertrend (GPL Classic)
A robust version of Supertrend that includes wick sensitivity and doji-handling logic. It behaves smoothly on lower timeframes, avoiding false flips and maintaining direction more intelligently.
Squeeze Momentum OscillatorTitle: Squeeze Momentum Oscillator
Description: This indicator is a panel-based oscillator designed to visualize the relationship between market volatility and momentum. Based on the classic TTM Squeeze concept, it helps traders identify periods of consolidation ("The Squeeze") and the subsequent release of energy ("The Breakout").
Originality & Enhancements: Standard squeeze oscillators only show when a squeeze fires (turning from red to green). This enhanced version adds a specific Breakout Validation layer. It changes the center-line dot color to Fuchsia or Blue only if the squeeze release is confirmed by the slope of the 20-period Moving Average, filtering out weak or false fires.
How It Works:
1. The Center Line (Volatility State): The dots along the zero line tell you the current volatility condition:
🔴 Red Dot: Squeeze ON. Bollinger Bands are inside Keltner Channels. Volatility is compressed. The market is charging up.
🟣 Fuchsia Dot: Bullish Breakout. The squeeze has fired upward, and the underlying trend (20 SMA slope) is positive.
🔵 Blue Dot: Bearish Breakout. The squeeze has fired downward, and the underlying trend (20 SMA slope) is negative.
🟢 Green Dot: Squeeze OFF. Normal volatility conditions.
2. The Histogram (Momentum): The bars indicate the strength and direction of the price movement using Linear Regression logic:
Cyan/Green: Bullish momentum. (Darker = weakening).
Red/Maroon: Bearish momentum. (Darker = weakening).
Visual Guide:
Setup: Wait for a series of Red Dots.
Trigger: Look for the first Fuchsia (Bullish) or Blue (Bearish) dot accompanied by an expanding Histogram in the same direction.
Settings:
Feature Toggle: You can turn the "Breakout Colors" (Fuchsia/Blue) on or off if you prefer the classic look.
Sensitivity: Fully customizable lengths and multipliers for Bollinger Bands and Keltner Channels.
Credits: Based on the foundational TTM Squeeze oscillator logic. Linear regression momentum calculation adapted from standard open-source methods. Breakout validation logic added for enhanced reliability.
ADX Cloud StyleThis custom indicator visualizes the Directional Movement Index (DMI) system to help identify trend direction and intensity:
Histogram: Displays the net momentum (calculated as DI+ minus DI-). Green bars indicate that buyers are in control (bullish), while red bars indicate sellers are in control (bearish). The height of the bars represents the strength of that dominance.
Cloud (Fill): Shading between the DI+ and DI- lines. It provides a visual backdrop for the trend: green shading for an uptrend and red shading for a downtrend.
Blue Line (ADX): Measures the absolute strength of the trend, regardless of direction. A rising blue line suggests the current trend (whether up or down) is gaining strength, while a falling line suggests consolidation or a weakening trend.
Oscillation filterDescription: This is a customized technical indicator designed to assist traders in analyzing overbought and oversold conditions in volatile or trending markets. It plots overbought and oversold conditions of different colors as distinctions for multiple periods.
Working principle: This indicator calculates the oscillation index value of the given parameter and projects it onto a chart to visualize the fluctuation limit. It helps identify oscillations, trend reversals and manage risks under various market conditions.
Access: This is an invitation-only script. To request access or permission, please refer to X: @Dev0x_AI for communication.
震荡过滤器
Jurik Angle Flow [Kodexius]Jurik Angle Flow is a Jurik based momentum and trend strength oscillator that converts Jurik Moving Average behavior into an intuitive angle based flow gauge. Instead of showing a simple moving average line, this tool measures the angular slope of a smoothed Jurik curve, normalizes it and presents it as a bounded oscillator between plus ninety and minus ninety degrees.
The script uses two Jurik engines with different responsiveness, then blends their information into a single power score that drives both the oscillator display and the on chart gauge. This makes it suitable for identifying trend direction, trend strength, exhaustion conditions and early shifts in market structure. Built in divergence detection between price and the Jurik angle slope helps highlight potential reversal zones while bar coloring and a configurable no trade zone assist with visual filtering of choppy conditions.
🔹 Features
🔸 Dual Jurik slope engine
The indicator internally runs two Jurik Moving Average calculations on the selected source price. A slower Jurik stream models the primary trend while a faster Jurik stream reacts more quickly to recent changes. Their slopes are measured as angles in degrees, scaled by Average True Range so that the slope is comparable across different instruments and timeframes.
🔸 Angle based oscillator output
Both Jurik streams are converted into angle values by comparing the current value to a lookback value and normalizing by ATR. The result is passed through the arctangent function and expressed in degrees. This creates a smooth oscillator that directly represents steepness and direction of the Jurik curve instead of raw price distance.
🔸 Normalized power score
The angle values are transformed into a normalized score between zero and one hundred based on their absolute magnitude, then the sign of the angle is reapplied. This yields a symmetric score where extreme positive values represent strong bullish pressure and extreme negative values represent strong bearish pressure. The final power score is a weighted blend of the slow and fast Jurik scores.
🔸 Adaptive color gradients
The main oscillator area and the fast slope line use gradient colors that react to the angle strength and direction. Rising green tones reflect bullish angular momentum while red tones reflect bearish pressure. Neutral or shallow slopes remain visually softer to indicate indecision or consolidation.
🔸 Trend flip markers
Whenever the primary Jurik slope crosses through zero from negative to positive, an up marker is printed at the bottom of the oscillator panel. Whenever it crosses from positive to negative, a down marker is drawn at the top. These flips act as clean visual signals of potential trend initiation or termination.
🔸 Divergence detection on Jurik slope
The script optionally scans the fast Jurik slope for pivot highs and lows. It then compares those oscillator pivots against corresponding price pivots.
Regular bullish divergence is detected when the oscillator prints a higher low while price prints a lower low.
Regular bearish divergence is detected when the oscillator prints a lower high while price prints a higher high.
When detected, the tool draws matching divergence lines both on the oscillator and on the chart itself, making divergence zones easy to notice at a glance.
🔸 Bar coloring and no trade filter
Bars can be colored according to the primary Jurik slope gradient so that price bars reflect the same directional information as the oscillator. Additionally a configurable no trade threshold can visually mute bars when the absolute angle is small. This highlights trending sequences and visually suppresses noisy sideways stretches.
🔸 On chart power gauge
A creative on chart gauge displays the composite power score beside the current price action. It shows a vertical range from plus ninety to minus ninety with a filled block that grows proportionally to the normalized score. Color and label updates occur in real time and provide a quick visual summary of current Jurik flow strength without needing to read exact oscillator levels.
🔹 Calculations
Below are the main calculation blocks that drive the core logic of Jurik Angle Flow.
Jurik core update
method update(JMA self, float _src) =>
self.src := _src
float phaseRatio = self.phase < -100 ? 0.5 : self.phase > 100 ? 2.5 : self.phase / 100.0 + 1.5
float beta = 0.45 * (self.length - 1) / (0.45 * (self.length - 1) + 2)
float alpha = math.pow(beta, self.power)
if na(self.e0)
self.e0 := _src
self.e1 := 0.0
self.e2 := 0.0
self.jma := 0.0
self.e0 := (1 - alpha) * _src + alpha * self.e0
self.e1 := (_src - self.e0) * (1 - beta) + beta * self.e1
float prevJma = self.jma
self.e2 := (self.e0 + phaseRatio * self.e1 - prevJma) * math.pow(1 - alpha, 2) + math.pow(alpha, 2) * self.e2
self.jma := self.e2 + prevJma
self.jma
This method implements the Jurik Moving Average engine with internal state and phase control, producing a smooth adaptive value stored in self.jma.
Angle calculation in degrees
method getAngle(float src, int lookback=1) =>
float rad2degree = 180 / math.pi
float slope = (src - src ) / ta.atr(14)
float ang = rad2degree * math.atan(slope)
ang
The slope between the current value and a lookback value is divided by ATR, then converted from radians to degrees through the arctangent. This creates a volatility normalized angle oscillator.
Normalized score from angle
method normScore(float ang) =>
float s = math.abs(ang)
float p = s / 60.0 * 100.0
if p > 100
p := 100
p
The absolute angle is scaled so that sixty degrees corresponds to a score of one hundred. Values above that are capped, which keeps the final score within a fixed range. The sign is later reapplied to restore direction.
Slow and fast Jurik streams and power score
var JMA jmaSlow = JMA.new(jmaLen, jmaPhase, jmaPower, na, na, na, na, na)
var JMA jmaFast = JMA.new(jmaLen, jmaPhase, 2.0, na, na, na, na, na)
float jmaValue = jmaSlow.update(src)
float jmaFastValue = jmaFast.update(src)
float jmaSlope = jmaValue.getAngle()
float jmaFastSlope = jmaFastValue.getAngle()
float scoreJma = normScore(jmaSlope) * math.sign(jmaSlope)
float scoreJmaFast = normScore(jmaFastSlope) * math.sign(jmaFastSlope)
float totalScore = (scoreJma * 0.6 + scoreJmaFast * 0.4)
A slower Jurik and a faster Jurik are updated on each bar, each converted to an angle and then to a signed normalized score. The final composite power score is a weighted blend of the slow and fast scores, where the slow score has slightly more influence. This composite drives the on chart gauge and summarizes the overall Jurik flow.
Pivot Oscillator█ OVERVIEW
Pivot Oscillator is a versatile oscillator that measures market strength by comparing the current price to local price pivots. Values are scaled by ATR, normalized to a 0–100 range, and displayed along with an SMA line.
Oscillator: generates signals suitable for pullback strategies.
SMA line: serves as a momentum indicator.
█ CONCEPTS
Pivot Oscillator is designed with dual functionality:
- Oscillator & signals: ideal for pullback strategies, detecting local highs/lows and short-term reversals.
- SMA (Momentum): shows stable market-side dominance and filters price impulses.
Calculation logic:
- Oscillator = closing price − pivot line (derived from average high/low pivots).
Scaled by ATR and normalized to 0–100:
50 – bullish dominance,
< 50 – bearish dominance.
SMA is computed from smoothed oscillator values and serves as a momentum indicator.
█ FEATURES
Pivot Calculation:
- Pivot Length (lenSwing) – the number of bars used to identify local pivots (highs/lows). Higher values filter only larger extremes, while lower values make the oscillator react faster to local highs and lows.
- Pivot Level (pivotLevel) – determines the position of the pivot line between the average low and high pivots. A value of 0.5 places the pivotLine exactly halfway between the average high and low pivots; values closer to 0 or 1 shift the line toward the low or high pivots, respectively.
- Pivot Lookback (lookback) – the number of recent pivots used to calculate the average pivot, which smooths the pivotLine and reduces noise caused by individual extremes.
- Oscillator calculation: closing price − pivotLine (average of pivots computed from the above parameters).
The pivotLine is then scaled by ATR and normalized to a 0–100 range.
ATR Scaling:
- ATR period (atrLen)
- Multipliers (multUp / multDown) for upper and lower scaling.
Dynamic Colors:
- Oscillator > 50 → green (bullish)
- Oscillator < 50 → red (bearish)
SMA Line (Momentum):
- Smoothed oscillator (SMA) serves as a momentum indicator.
- Dynamic color indicates direction of SMA.
- Helps identify dominant market side and trend.
Overbought / Oversold Zones:
- Configurable OB/OS levels for both oscillator and SMA.
- Dynamic band colors: change depending on SMA relative to maOverbought / maOversold.
- Provides visual confirmation for potential corrections or strong momentum.
Gradients & Visualization:
- Oscillator and SMA gradients (3 layers) with adjustable transparency.
- Gradient visualization for OB/OS zones and oscillator.
- Full customization of colors, line width, and transparency.
Signals:
- Oscillator leaving oversold zone → long signal
- Oscillator leaving overbought zone → short signal
- OB/OS band colors dynamically reflect SMA levels for additional confirmation.
Alerts:
- OB/OS cross alerts.
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search for “Pivot Oscillator”.
Parameter Configuration:
- Pivot Settings: pivot length, pivot level, pivot lookback.
- ATR Settings: ATR period, scaling multipliers.
- Threshold Levels: OB/OS levels for oscillator and SMA.
- Signal Settings: SMA length, extra smoothing.
- Style Settings: bullish/bearish colors, OB/OS lines, midline, text colors.
- Gradient Settings: enable/disable gradients and transparency.
Signal Interpretation:
BUY (Long):
- Oscillator leaves the oversold zone (OS crossover).
- OB/OS band color may additionally confirm the signal when SMA < maOversold.
SELL (Short):
- Oscillator leaves the overbought zone (OB crossunder).
- OB/OS band color may additionally confirm the signal when SMA > maOverbought.
█ APPLICATIONS
Pivot Oscillator and SMA can be scaled for different strategies:
- Pullback strategies: oscillator detects local highs/lows.
- Momentum / Trend: SMA shows market-side dominance and trend direction.
Adjust pivot and ATR parameters:
- Lower settings: faster reaction, suitable for scalping or intraday trading.
- Higher settings: more stable readings, suitable for swing trading or longer timeframes.
█ NOTES
- In strong trends, the oscillator may remain in extreme zones for extended periods – reflects dominance, not necessarily a reversal.
- OB/OS levels should be adapted to the instrument and pivot/ATR settings.
- Works best when combined with other tools: support/resistance, market structure, and volume analysis.
RSI with Multi-Level OB/OS (65/70 & 35/30)With a revised 65 and 35 level for higher probability of winning
Gold Flow Indicator (5-Min Model)MST XAU Hybrid 5M is a confluence-based technical indicator built specifically for XAUUSD on the 5-minute timeframe.
It uses a combination of exponential moving averages (EMA crossovers), RSI trend strength, and MACD momentum direction to filter out weak signals and highlight only the highest-quality setups.
The tool is designed for scalpers and short-term intraday traders who want clarity in fast market conditions.
No repainting, clean visuals, and easy-to-interpret signals make it suitable for both beginners and advanced traders.
Developer: MST (Maa Sharda Trading)
NeoChartLabs Stochastic RSIOne of our Favorite Indicators - The NeoChart Labs Stochastic RSI
Slowed down and smoothed out to hide the jerky movements of the crypto market.
StochRSI measures where the current RSI value sits relative to its recent high and low range. This provides more frequent signals and is designed to address the issue of the standard RSI remaining at extreme levels for too long. Best when used with 80 / 20
MADD Monkey Pro DMCx Directional Momentum and Confluence EngineMadd Monkey Pro DMCx is a bias and momentum indicator that helps intraday traders read short-term direction and the strength of current moves. It is designed to provide structured context so you can decide when conditions support your ideas and when they do not.
Purpose
DMCx is built to help you answer:
What is the current directional bias on this chart?
Is momentum supporting that direction or fading?
Does the current environment meet the confluence conditions you have defined?
Core components (high-level logic)
DMCx combines several elements:
Directional engine – evaluates recent price behavior to classify conditions as bullish, bearish or neutral.
Momentum and volatility engine – distinguishes between stronger impulsive moves and slower or less convincing movement.
Confluence layer – optional filters requiring agreement between direction, momentum and other conditions before highlighting a setup.
Signal quality tagging – internal tagging that lets you treat some conditions as higher or lower quality, depending on your configuration.
These components are presented through chart markers and a compact status panel summarizing the current bias and momentum state.
Key features
Clear bias / regime read to show whether price is trending up, trending down or in more neutral conditions.
Momentum and volatility context to help distinguish between strong pushes and weaker phases.
Optional confluence filters so only aligned conditions are highlighted.
A status panel that provides a high-level snapshot of bias, momentum and simple tallies based on how you interpret the output.
Modular controls allowing you to toggle key visuals (signals, labels, panel) on or off to match your preferred chart layout.
Suggested usage
Symbols and timeframes: Can be used on XAUUSD, FX pairs, indices and other liquid instruments. Intraday frames like 15m, 5m or 1h are common use cases, but you may explore higher or lower timeframes according to your own testing.
Define your higher timeframe bias and important price levels using your own methods.
Use DMCx to check:
Whether short-term direction is aligned with your idea.
Whether momentum supports that view or suggests caution.
Consider taking trades only when your setup and the DMCx context agree, and you have clear rules for entry, stop loss and target.
Treat the readings as context, not as standalone entry or exit signals.
Notes and limitations
DMCx does not repaint closed bars, but its bias and momentum states update as new data appears. This is normal for any real-time context tool.
Any performance-style interpretation of the output depends completely on how you choose to use it. The script does not guarantee results.
Risk disclaimer
This script is provided for informational and educational purposes only. It does not constitute financial advice, investment advice or a solicitation to buy or sell any financial instrument. Trading and investing in financial markets involve significant risk, and you can lose more than your initial investment. Past performance and historical behavior do not guarantee future results.
By using Madd Monkey Pro DMCx, you accept full responsibility for your own trading decisions and outcomes. The author is not liable for any loss or damage arising from the use of this script.
The Reaper WhistleThe Reaper Whistle is a high-precision RSI momentum system engineered for scalpers and intraday traders.
It combines a customizable RSI with a dynamic moving average signal line to detect micro-shifts in momentum, early reversals, and continuation setups with extreme speed.
The indicator includes five key zones used by liquidity and SMC-style traders:
• Strong Sell (90) – Extreme momentum exhaustion
• Sell (80) – Overextension area
• TP Zone (50) – Momentum balance / decision point
• Buy (20) – Discount area
• Strong Buy (10) – Extreme sell-side exhaustion
By tracking how RSI interacts with its MA inside these zones, traders can identify high-probability sniper entries on the 1m, 3m, and 5m charts.
⸻
⭐ HOW IT WORKS (Quick Breakdown)
• RSI Period: defines momentum sensitivity
• MA Period: smooths RSI noise and clarifies direction shifts
• MA Type: SMA, EMA, or WMA for different reaction speeds
• Crossovers: show momentum flips or trend continuation
• Zones: filter out weak signals and highlight only premium setups
⸻
⚡ STRATEGY EXAMPLES
1️⃣ Liquidity Sweep Reversal (Most Powerful Setup)
Use case: Gold, NAS100, NQ, US30
1. Price sweeps a previous high/low
2. RSI spikes into Strong Sell (90) or Strong Buy (10)
3. RSI crosses its MA back inside the zone
4. Enter on candle confirmation
5. TP at the next imbalance, VWAP, or volume cluster
This setup catches V-shaped reversals and trap plays.
⸻
2️⃣ Trend Continuation Pullback
Use case: Trending markets
1. Identify trend direction (EMA 200, structure, etc.)
2. Wait for RSI to pull back to the TP (50) zone
3. Watch for RSI crossing its MA in trend direction
4. Enter with trend
5. TP at previous swing high/low
This setup filters out weak pullbacks and catches clean momentum continuation.
⸻
3️⃣ Breakout Confirmation
Use case: Range breakouts, opening range breaks
1. Price breaks a consolidation high/low
2. RSI holds above Sell (80) in uptrend or below Buy (20) in downtrend
3. RSI crosses its MA with momentum
4. Enter breakout
5. TP at HTF zone or liquidity target
Perfect for fast markets like NAS100 and Bitcoin.
⸻
4️⃣ Divergence + Whistle Flip
Use case: Slow markets or pre-session moves
1. Look for bullish or bearish RSI divergence
2. Wait for RSI to cross the MA in direction of divergence
3. Enter once momentum confirms
4. TP at imbalance, FVG, or mid-range
This increases divergence accuracy dramatically.
⸻
🔥 RECOMMENDED SETTINGS
• Scalping (1m–3m):
• RSI: 5
• MA: 3
• Type: EMA
• Intraday 5m–15m:
• RSI: 7–14
• MA: 5
• Type: SMA
⸻
⭐ WHO IT’S BUILT FOR
• Liquidity + SMC traders
• Scalpers who need fast confirmation
• Traders who want clean, simple entries
• Beginners who want visual guidance
• Professionals who want momentum precision
The Reaper Whistle is intentionally designed for speed, clarity, and reliability — no clutter, no lag, just pure momentum read.
— Created by TheTrendSniper (ChartReaper)
“When the market whispers… the Reaper whistles.”
BTC Regime Oscillator (MC + Spread) [1D]ONLY SUPPOSED TO BE USED FOR BTC PERPS, AND SPOT LEVERAGING:
This is a risk oscillator that measures whether Bitcoin’s price is supported by real capital or is running ahead of it, and converts that into a simple risk-regime oscillator.
It's built with market cap, and FDV, and Z-scores compressed to -100 <-> 100
I created this indicator because I got tired of FOMO Twitter and Wall Street games.
DO NOT USE THIS AS A BEGIN-ALL-AND-END-ALL. YOU NEED TO USE THIS AS A CONFIRMATION INDICATOR, AND ON HTF ONLY (1D>) IF YOU USE THIS ON LOWER TIMEFRAMES, YOU ARE FEEDING YOUR MONEY TO A LOW-LIFE DING BAT ON WALL STREET. HERE IS HOW IT WORKS:
This indicator is Split up by
A) Market Cap
--> Represents real money in BTC
--> Ownership capital
--> If MC is rising, money is entering BTC
B) FDV (Fully Diluted Valuation)
--> For BTC: price(21M) (21,000,000)
--> Represents the theoretical valuation
--> Since BTC really has a fixed cap, FDV mostly tracks the price
C) Oscillators
Both MC and FDV are:
--> Logged (to handle scale)
--> Normalized (Z-score)
--> Compressed to -100 <-> 100
HERE ARE THREE THINGS YOU ARE GOING TO SEE ON THE CHART
A) The market cap oscillator (MC OSC)
--> Normalized trend of real capital
RISING: Indicates capital inflow
FALLING: Indicates capital outflow
B) FDV Oscillator
--> Normalized trend of valuation pressure
ABOVE MC: Price is ahead of capital
BELOW MC: Capital is keeping up
!!!! FDV IS CONTEXT NOT SIGNALS !!!!
C) Spread = (FDV - MC)
--> The difference between valuation and capital
(THIS IS THE CORE SIGNAL)
NEGATIVE: Capital is gonna lead price
NEAR 0: Balanced
POSITIVE: Price leads capital
(THIS MEANS STRESS FOR BTC, NOT DILLUTION!)
WHAT DOES -60, 0, 60 MEAN?:
--> These are meant to serve as risk zones, not buy/sell dynamics; this is not the same as an RSI oscillator.
A) 0 level
--> Price and capital are balanced
--> No structural stress
(TRADE WITH NORMAL POSITION SIZE, AND NORMAL EXPECTATIONS)
B) Below -60 (Supportive/Compressed)
--> BTC is relatively cheap to recent history
--> Capital supports price well
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Press trends
--> Use higher ATRs
--> Pullbacks are better here
C) Above 60 (Overextension, or fragile)
--> BTC is expensive relative to recent history
--> Price is ahead of capital
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Reduce leverage, use smaller ATR
--> Use lower ATRs, TP faster
--> Do not chase breakouts
--> Expect volatility and whipsaws
"Can I press trades right now? Or do I need to hog my capital?"
CONDITIONS:
Spread Less than 0 and below -60 = Press trades
Spread near 0 = Normal trading conditions
Spread is Greater than 0 or above 60+ = Capital protection
Liquidity Oscillator (Price Impact Proxy)Osc > +60: liquidity is high relative to recent history → slippage tends to be lower.
Osc < -60: liquidity is low → expect worse fills, bigger wicks, easier manipulation.
It’s most useful as a filter (e.g., “don’t enter when liquidity is low”).
Beast Mode PRO v3 Oscillator and SignalsConcept and Underlying Logic
This indicator is a "Composite Regime Filter" designed to solve the problem of single-indicator noise. In standard trading, an RSI might signal "Overbought" while a MACD signals "Bullish," leading to conflicting bias. Beast Mode PRO solves this by normalizing multiple momentum and volatility metrics into a single, unified "Regime Score."
Instead of using raw values (which vary wildly between indicators), this script utilizes Z-Score Normalization. It calculates the statistical mean and standard deviation of six distinct inputs (RSI, CCI, Fisher Transform, DMI, Z-Score, and MA Ratio) over a lookback period. This converts all inputs into a standardized scale (Standard Deviations from the mean), allowing them to be compared mathematically "apples-to-apples."
The Clustering Engine
Once normalized, the script employs a custom Clustering algorithm. It analyzes the distribution of the normalized values to determine the statistical "center" of Bullish, Bearish, and Neutral sentiment.
Vote Aggregation: Each of the six components casts a "vote" based on its position relative to the cluster centers.
Composite Scoring: These votes are averaged to create the "Composite Score" (0-100 scale).
Adaptive Thresholds: Rather than using fixed levels (like RSI 70/30), this script uses dynamic Bollinger Band-based thresholds on the Composite Score to identify significant regime shifts based on current market volatility.
Key Features & Components
1. The Composite Oscillator (Bottom Pane)
This is the heartbeat of the system. It visualizes the aggregated score.
Step Line: Represents the smoothed consensus of the underlying six indicators.
Dynamic Bands: The gray bands expand and contract. Signals are only generated when the consensus score breaks out of these volatility bands, reducing fake-outs during consolidation.
2. Signal Filtering (The "Why" behind the Mashup)
A raw signal is rarely enough. This script integrates three specific filters to prevent trading in low-probability environments:
Chop Filter: Uses an ATR-based Chop Index to detect sideways ranging markets. If the market is chopping, signals are suppressed.
Session Filter: Allows the user to exclude low-volume times (e.g., the gap between NY close and Asia open).
Trend Filter: An optional EMA filter ensures that Bullish regime signals are only valid if price is above the trend baseline, aligning momentum with the macro trend.
3. Cycle & Momentum (CyMo) Toggles
To provide secondary confirmation, the script includes toggles for:
STC (Schaff Trend Cycle): A cycle indicator to detect market tops and bottoms.
SMI (Stochastic Momentum Index): For faster entry timing within the established regime.
4. The Dashboard
A customizable table provides a real-time health check of the asset. It displays the raw values of the six inputs, their current "Vote" (Bull/Bear), and the overall system status (Active, Chop, or Low Vol).
How to Use
This tool is intended for trend-following and swing trading.
Trend Entry: Wait for the candles to turn Green (Bullish Regime) or Red (Bearish Regime) and ensure the Dashboard status is "ACTIVE".
Pullbacks: The small triangle shapes indicate "Trend Re-entries." These occur when the internal oscillator reaches an extreme and snaps back in the direction of the main trend.
Exits: The "TP" circles appear when momentum begins to diverge from price, suggesting a potential exhaustion of the current move.
Settings
Heikin Ashi Source: The script calculates based on Heikin Ashi data to smooth out price noise before processing.
Dashboard: Fully customizable size and location to fit your workspace.
Sensitivity: Users can adjust the "Cluster Count" and "Lookback Window" to tune the responsiveness of the regime detection.
Pythia Compass v 33.1Pythia Compass — Market Energy Direction
Pythia Compass is a minimalist edition of the Pythia project, designed for traders who want a clear and fast view of the market’s internal energy direction.
Despite its simple visual design, Compass runs on the same core algorithmic engine used in the advanced Pythia versions.
It merges the system’s structural and energy signals into a compact visual output:
a vertical market-energy direction scale
a forecast-quality HUD
configurable strength thresholds
early detection of energy shifts before price reacts
Compass does not display Pythia’s full graphical markup — only the final directional energy result, computed from the complete internal signal set.
You can use Pythia Compass:
as a standalone indicator for assessing strength and directional bias
as a filter for any trading strategy
as a lightweight companion to the full Pythia versions
Pythia Compass — simple on the surface, powerful underneath.
Built as an accessible entry point into the Sael Lab ecosystem and the Pythia algorithm family.
LHAMA Oscillator Suite [LTS]Overview
The LHAMA Oscillator Suite is a collection of normalized, LHAMA-based oscillators built to make the behavior of the Low-High Adaptive Moving Average (LHAMA) easier to read in a separate pane. It translates LHAMA’s slope, distance, volatility buffer, intraday drift, and regime bias into six clear visual signals, with optional multi-timeframe overlays so you can compare your current chart to a higher-timeframe context at a glance.
Core concept
LHAMA is a custom adaptive moving average that responds more strongly when price is making new local highs or lows, and can optionally weight those moves by volume. The oscillator suite takes that adaptive line and derives several normalized measures (mostly scaled to ±100) around a zero line so you can:
See when LHAMA is meaningfully trending vs flat
Measure how far price has moved away from LHAMA in ATR terms
Track how far the LHAMA trend has “stretched” into its ATR cloud buffer
Follow intraday drift from a daily reset point
Visualize simple bull / bear / neutral states as a background regime filter
Available Oscillators
LHAMA Slope
Measures the angle of the LHAMA in ATR-normalized degrees, capped and rescaled to approximately –100 to +100. Positive values show rising LHAMA, negative values show falling LHAMA. The “Entry Slope (deg)” input defines when the line is considered strongly bullish or bearish. This is the primary trend-impulse oscillator in the suite.
Price Distance to LHAMA
Shows how far price is from the LHAMA in units of ATR, normalized to ±100. Large positive values indicate price trading well above the LHAMA; large negative values show price trading well below it. This is useful for spotting extensions away from the adaptive mean (for both continuation and mean-reversion style analysis).
LHAMA Cloud Buffer
Tracks the dynamic distance between LHAMA and its ATR-based “cloud boundary,” with the sign reflecting which side of the trend you are on. As the trend extends, the buffer widens; when LHAMA flips through the buffer, the sign changes. This makes it easy to see how mature or compressed a trend’s protective buffer is.
Trend Regime Bias
A smoothed, sigmoid transform of the LHAMA angle, converted to a bias between –100 and +100. Rather than focusing on raw slope, this oscillator highlights the underlying regime: values near +100 represent a strong bullish bias, values near –100 a strong bearish bias, and values near zero a more neutral environment.
Session Drift from Reset
Measures how far LHAMA has drifted from its value at a daily reset time (e.g., a futures session close), scaled by ATR and the square root of bars since reset. The result is a Z-score–style oscillator capped to ±100, which helps you gauge how extended the current session is relative to typical intraday movement.
LHAMA State (Background)
A simple state signal that classifies LHAMA as bullish, bearish, or neutral based on the angle and your slope threshold. It is typically used to tint the background of the oscillator pane, and can also be plotted from a higher-timeframe for regime stacking.
Multi-timeframe overlays
Each oscillator can optionally display a second, higher-timeframe (“MTF”) version drawn on the same scale. You can choose a custom MTF resolution (e.g., 15m while trading 1m), and independently toggle which MTF oscillators to show:
MTF LHAMA Slope
MTF Price Distance
MTF Cloud Buffer
MTF Regime Bias
MTF Session Drift
MTF LHAMA State background
This allows you to, for example, trade from the lower timeframe while aligning entries with the higher-timeframe trend regime or mean-reversion context.
Visualization and coloring
All oscillators are plotted around a zero line , with optional reference bands at ±80 to highlight stronger conditions.
Each oscillator can use one of three coloring styles:
Gradient : color intensity increases with the magnitude of the signal.
Flat : fixed bull / bear colors above and below zero.
Single Color : a single color regardless of sign, for minimalistic views.
A separate bull and bear color is available for each oscillator, and you can smooth most outputs with an EMA to reduce noise while keeping the raw calculations intact. You can also choose to disable to shaded area of each line for further visual differentiation.
Key settings
LHAMA settings : length, optional volume weighting, and a daily reset session to realign the moving average after overnight gaps.
Volatility settings : ATR length for both slope normalization and distance calculations.
Cloud settings : ATR multiplier used to define the LHAMA cloud buffer.
Appearance : optional smoothing length, zero-line color, ±80 bands toggle, and all per-oscillator color choices.
MTF overlays : higher-timeframe resolution and per-oscillator toggles for the MTF pack.
The script does not use lookahead settings in its data requests and does not draw future values; all signals are computed using information available at each bar in real time, in line with TradingView’s execution model and publishing guidelines.
VCAI Stochastic RSI+VCAI Stoch RSI+ is a cleaned-up Stochastic RSI built with V-Core colours for faster, clearer momentum reads and more reliable OB/OS signals.
What it shows:
Purple %K line → bearish momentum strengthening
Yellow %D line → bullish momentum building and smoothing
Soft purple/yellow background bands → OB/OS exhaustion zones, not just raw 80/20 triggers
Midline at 50 → balance point where momentum shifts between bull- and bear-side control
Optional HTF mode → run Stoch RSI from any timeframe while viewing it on your current chart
How to read it:
Both lines rising out of OS → early bullish shift; pullbacks that hold direction favour continuation
Both lines falling from OB → early bearish shift; bounces into the purple OB zone can become fade setups
Lines stacked and moving together → strong, cleaner momentum
Lines crossing repeatedly → low-conviction, choppy conditions
OB/OS shading highlights exhaustion so you focus on moves with context, not every 80/20 tick
Why it’s different:
Classic Stoch RSI is hyper-sensitive and mostly noise.
VCAI Stoch RSI+ applies V-Core’s colour-driven regime logic, controlled OB/OS shading, and optional HTF smoothing so you see momentum structure instead of clutter — making it easier to judge when momentum is genuinely shifting and when it’s just another wiggle.
