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.
Осцилляторы
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
Wyckoff Institutional Decoder [OXE]4 Professional Dashboard Panels
Panel 1: RETAIL VS SMART MONEY INSIGHT (Top-Right)
This is the showstopper - side by side comparison:
🔴 RETAIL SEES🟢 SMART MONEY SEES"Support broke! 📉 SELL!""Spring trap complete ✓ Institutions buying""Breakout! 📈 BUY!""Upthrust trap complete ✓ Institutions selling""Downtrend continuing, Stay short""Accumulation Phase, Institutions loading""Just a pullback, Buy the dip!""Late Distribution, Breakdown approaching"
Plus:
Effort vs Result interpretation
Outcome prediction (Retail: "Gets stopped out 💀" vs Smart Money: "Enters at best price ✓")
Panel 2: MAIN WYCKOFF DASHBOARD (Bottom-Right)
MetricDisplayPhaseACCUMULATION / DISTRIBUTION / MARKUP / MARKDOWNStrength████ 85% (visual progress bar)Sub-PhaseA - Selling Climax, B - Building Cause, C - Spring, etc.Smart MoneySTRONG BUYING / Buying / Neutral / Selling / STRONG SELLINGVolume🔊 EXTREME / 🔉 High / 🔈 Low with ratio (2.3x)Effort/ResultABSORPTION / EASY MOVE / BALANCEDCause Built45 bars (45%) - shows target potentialTarget↑ 2,145.50 (projected price target)◆ ACTIONBUY THE SPRING / SELL THE UPTHRUST / WAIT & OBSERVE
Panel 3: EVENT LOG (Middle-Right)
Real-time chronological log of Wyckoff events:
📋 EVENT LOG
━━━━━━━━━━━━━━━━━
SPRING 🟢 | 3 bars
Test (Spring) | 8 bars
Sign of Strength | 15 bars
Selling Climax | 42 bars
Panel 4: LEGEND (Bottom-Left)
Quick reference for all chart markers:
▲ SPRING = Buy Signal
▼ UTAD = Sell Signal
◆ SOS = Strength Confirmed
◆ SOW = Weakness Confirmed
● SC/BC = Climax Volume
╳ T = Test Event
— — = Creek / Ice levels
📊 Chart Visualizations
Structure Elements
Trading Range Box - Color-coded by phase (blue=accumulation, red=distribution)
Creek Level - Dashed blue line (resistance within accumulation)
Ice Level - Dashed red line (support within distribution)
Target Projection - Arrow showing price target based on "cause"
Event Markers
SPRING ▲ - Green triangle below bar
UTAD (Upthrust) ▼ - Red triangle above bar
SOS ◆ - Green diamond (Sign of Strength)
SOW ◆ - Red diamond (Sign of Weakness)
SC/BC ● - Orange circles (Selling/Buying Climax)
Tests ╳ - Small X markers
LPS/LPSY - Labels for Last Point of Support/Supply
Volume Highlighting
Orange background = Ultra-high volume (institutional activity)
Yellow background = High volume
🧠 Smart Detection Engine
Phase Detection
Automatically identifies:
ACCUMULATION (Smart money buying)
Sub-phases: A (Selling Climax), B (Building Cause), C (Spring), D (SOS), E (Breakout)
DISTRIBUTION (Smart money selling)
Sub-phases: A (Buying Climax), B (Building Cause), C (UTAD), D (SOW), E (Breakdown)
MARKUP (Uptrend)
MARKDOWN (Downtrend)
Event Detection
Selling Climax (SC)
Automatic Rally (AR)
Secondary Test (ST)
Spring
Sign of Strength (SOS)
Last Point of Support (LPS)
Buying Climax (BC)
Upthrust After Distribution (UTAD)
Sign of Weakness (SOW)
Last Point of Supply (LPSY)
Tests (low volume confirmations)
Volume Analysis
Effort vs Result - Detects absorption (high volume, small move)
Stopping Volume - Climax with rejection wicks
No Demand/Supply - Low volume showing lack of interest
Smart Money Score - Composite Operator activity gauge (-10 to +10)
Price Targets
Cause & Effect calculation
Projects targets based on consolidation width
Shows when enough "cause" has built up
⚡ All Alerts Included
Spring detected
Upthrust detected
Sign of Strength
Sign of Weakness
Selling/Buying Climax
Spring/Upthrust Tests
LPS/LPSY
Phase changes (Accumulation → Markup, etc.)
🎨 Optimized for White Backgrounds
All colors carefully selected for:
High contrast on white charts
Easy readability
Professional appearance
No eye strain
Settings You Can Customize
Structure detection length
Pivot sensitivity
Volume spike thresholds
Spring/Upthrust sensitivity
Dashboard size (small/normal/large)
All colors
Toggle each panel on/off
Toggle each visualization element
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.
[SM-021] Gaussian Trend System [Optimized]This script is a comprehensive trend-following strategy centered around a Gaussian Channel. It is designed to capture significant market movements while filtering out noise during consolidation phases. This version (v2) introduces code optimizations using Pine Script v6 Arrays and a new Intraday Time Control feature.
1. Core Methodology & Math
The foundation of this strategy is the Gaussian Filter, originally conceptualized by @DonovanWall.
Gaussian Poles: Unlike standard moving averages (SMA/EMA), this filter uses "poles" (referencing signal processing logic) to reduce lag while maintaining smoothness.
Array Optimization: In this specific iteration, the f_pole function has been refactored to utilize Pine Script Arrays. This improves calculation efficiency and rendering speed compared to recursive variable calls, especially when calculating deep historical data.
Channel Logic: The strategy calculates a "Filtered True Range" to create High and Low bands around the main Gaussian line.
Long Entry: Price closes above the High Band.
Short Entry: Price closes below the Low Band.
2. Signal Filtering (Confluence)
To reduce false signals common in trend-following systems, the strategy employs a "confluence" approach using three additional layers:
Baseline Filter: A 200-period (customizable) EMA or SMA acts as a regime filter. Longs are only taken above the baseline; Shorts only below.
ADX Filter (Volatility): The Average Directional Index (ADX) is used to measure trend strength. If the ADX is below a user-defined threshold (default: 20), the market is considered "choppy," and new entries are blocked.
Momentum Check: A Stochastic RSI check ensures that momentum aligns with the breakout direction.
3. NEW: Intraday Session Filter
Per user requests, a time-based filter has been added to restrict trading activity to specific market sessions (e.g., the New York Open).
How it works: Users can toggle a checkbox to enable/disable the filter.
Configuration: You can define a specific time range (Default: 09:30 - 16:00) and a specific Timezone (Default: New York).
Logic: The strategy longCondition and shortCondition now check if the current bar's timestamp falls within this window. If outside the window, no new entries are generated, though existing trades are managed normally.
4. Risk Management
The strategy relies on volatility-based exits rather than fixed percentage stops:
ATR Stop Loss: A multiple of the Average True Range (ATR) is calculated at the moment of entry to set a dynamic Stop Loss.
ATR Take Profit: An optional Reward-to-Risk (RR) ratio can be set to place a Take Profit target relative to the Stop Loss distance.
Band Exit: If the trend reverses and price crosses the opposite band, the trade is closed immediately to prevent large drawdowns.
Credits & Attribution
Original Gaussian Logic: Developed by @DonovanWalll. This script utilizes his mathematical formula for the pole filters.
Strategy Wrapper & Array Refactor: Developed by @sebamarghella.
Community Request: The Intraday Session Filter was added to assist traders focusing on specific liquidity windows.
Disclaimer: This strategy is for educational purposes. Past performance is not indicative of future results. Please use the settings menu to adjust the Session Time and Risk parameters to fit your specific asset class.
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.
Directional Movement Index (SHADED)Shaded red in between DMI lines when DMI- > DMI+
Shaded blue in between DMI lines when DMI+ > DMI-
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.
Trade TableDisplays a trade table for a given account size and risk percentage for long or short trades along with a calculated stop loss and number of shares to purchase. An optional table showing the PSC calculations is also available.
Filtered TEMA CrossoverFiltered Dual TEMA Crossover
This indicator is a trend-following tool based on the classic Dual Triple Exponential Moving Average (TEMA) Crossover strategy, enhanced with two robust filters: the Chop Index and the Average Directional Index (ADX).
The TEMA is known for its low lag and high responsiveness, making the crossover an effective signal for trend reversals. However, trading TEMA crossovers during sideways, choppy markets often leads to false signals. This is where the filters come in.
Key Features
▪️Dual TEMA Crossover: Plots two customizable TEMA lines (Fast and Slow) for clear visualization of the primary trend direction.
▪️Intelligent Signal Filtering: Buy and Sell signals are generated only when the market confirms it is in a trending state, thanks to two integrated filters:
➖Chop Index Filter: Blocks signals when the market is detected as sideways or consolidating (Chop Index reading above a user-defined threshold).
➖ADX Filter: Ensures signals are only taken when the trend strength is sufficient (ADX reading above a user-defined minimum threshold).
▪️Customizable Signals: Full control over the signal shapes (Arrows, Triangles, etc.), colors, text, and size.
How to Use It
Use the Filtered Dual TEMA Crossover to enter positions on trend continuation or reversal while dramatically reducing exposure to low-quality, whipsawing signals common in non-trending environments.
Before the filters:
After the filters:
Minimize Noise. Maximize Clarity. Trade the 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.
Multi Timeframe Signal DashboardShows 10 indicators across 6 timeframes (5M, 15M, 30M, 1H, 4H, 1D):
EMA 50/100 crossover
RSI (with oversold/overbought highlighting)
MACD
DMI (DI+/DI-)
Stochastic (with extremes)
CCI
Bollinger Bands
VWAP
EMA 200 Trend
Momentum
Each cell shows ▲ (bullish/green) or ▼ (bearish/red), with scores per row and column, plus an overall BUY/SELL/HOLD signal.
Trend Change ScannerTrend Change Scanner
Focused on detecting trend reversals:
Shows reversal status: BULL REV, BEAR REV, BULL SETUP, BEAR SETUP, or Neutral
Displays: Trend direction, RSI, ADX, EMA Gap %, Bull/Bear scores
Yellow highlight when EMA gap < 0.5% (EMAs converging - potential cross)
Overall signal with action recommendation
RSI with Multi-Level OB/OS (65/70 & 35/30)With a revised 65 and 35 level for higher probability of winning
Fusion Reversion Meter LiteFusion Reversion Meter Lite™
Market Energy & Exhaustion Gauge
Fusion Reversion Meter Lite shows whether market conditions support your next trade — not direction, but energy state.
It answers a critical question:
Does price have fuel to continue… or is it running out of steam?
METER STATES
🟢 GO → Energy depleted
→ Reversion behavior favored
🟡 CAUTION → Energy transitioning
→ Expect chop or mixed conditions
🔴 STOP → Energy expanding
→ Continuation behavior favored
HOW TO USE
GO → Favor reversion trades
CAUTION → Reduce size or wait for clarity
STOP → Favor continuation trades; avoid fading price
This allows you to trade with confidence, knowing whether retracements are likely or not.
WHAT THIS MEASURES
A composite of:
Oscillator intensity
Volume energy
Volatility expansion
Combined into a single, real-time energy gauge.
It tells you whether the market has fuel — not which way it’s going.
PAIRS WELL WITH
FusionPredict Lite™ — shows where price may want to go.
Used together:
FusionPredict target + Meter GO → Wait for pullback / reversion
FusionPredict target + Meter STOP → Continuation may run clean
FULL VERSION
The full Fusion Reversion Meter™ includes:
Directional awareness
Multi-timeframe energy analysis
Smart alerts and automation hooks
Available at fusionpredictor.com
FusionPredict LiteFusionPredict Lite
Single-Timeframe Reversion Target Indicator
FusionPredict Lite highlights where price is statistically likely to revert toward equilibrium after momentum displacement.
Rather than chasing candles, this tool helps you see where price may want to go next — allowing for cleaner entries, better patience, and reduced emotional trading.
LINE COLORS
🟢 Green Line → Reversion target above current price (bullish bias)
🔴 Red Line → Reversion target below current price (bearish bias)
WHY THIS MATTERS
Knowing the reversion level helps you:
Avoid entering directly into a pullback
Anticipate where momentum may pause or unwind
Decide whether to wait for price to come to you or trade continuation confidently
This is useful not only for scalping, but also for timing cleaner entries during strong moves.
HOW TO USE
Watch how price approaches and reacts to the reversion line
Use it to plan entries without chasing price
Best on 1–5 minute charts, but works on all timeframes
Compatible with crypto, forex, futures, indices, and metals
WHAT THIS IS
FusionPredict Lite is the single-timeframe version of the FusionPredict engine.
It measures:
Momentum displacement
Oscillator imbalance
Volatility structure
…and projects where price may revert as energy normalizes.
PAIRS WELL WITH
Fusion Reversion Meter Lite™ — helps determine whether market conditions favor:
A clean move toward the target
Or a continuation without retracement
FULL VERSION
The full FusionPredict™ includes:
Multi-timeframe alignment (up to 6 timeframes)
Smart alerts and confluence logic
Advanced energy-aware projections
Available at fusionpredictor.com
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.






















