Goldilocks and the Three Bears - [Algoat_Alpha]Goldilocks and the Three Bears is a multi-layer confluence indicator that identifies
when three independent technical dimensions — trend, momentum, and direction — all
align in the same direction. Inspired by the classic fairy tale, it waits for
conditions that are "just right" before signaling.
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HOW IT WORKS
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The indicator evaluates three independent layers on every bar:
Papa (Trend) — A Moving Average (SMA or EMA) establishes the macro trend.
Price above the MA = bullish trend. Price below = bearish trend. This is the
slowest-moving component and acts as the structural filter.
Mama (Momentum) — The Relative Strength Index measures whether buying or selling
pressure dominates. RSI above the midline (default 50) = bullish momentum.
Below = bearish momentum. This prevents entries against exhausted moves.
Baby (Direction) — The MACD-Signal crossover captures the fastest directional
shift. MACD above its signal line = bullish direction. Below = bearish direction.
This is the trigger layer.
A signal fires only when ALL THREE flip into alignment simultaneously — the exact
bar where the last component joins the other two. This transition-based logic
prevents redundant signals during sustained trends.
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WHY CONFLUENCE MATTERS
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Each indicator alone produces frequent false signals:
• MA alone triggers late in ranges
• RSI alone triggers too early in trends
• MACD alone whipsaws in choppy markets
By requiring all three to agree, the indicator filters out noise that any single
layer would miss. The three layers operate on different mathematical principles
(price vs. average, momentum oscillator, moving average convergence/divergence),
so their agreement represents genuine multi-dimensional confluence — not just the
same signal measured three times.
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HOW TO USE
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1. Add the indicator to your chart. The dashboard shows the real-time state of
all three layers.
2. When all three show "Bull" → Goldilocks Zone (bullish). A 🐂 label appears
on the chart at the entry bar.
3. When all three show "Bear" → Goldilocks Zone (bearish). A 🐻 label appears.
4. "Still Cooking" means the layers are mixed — no directional consensus yet.
Hover over any signal label for a detailed tooltip showing the exact values
of all three components at the time of the signal.
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FEATURES
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• Auto light/dark theme detection — dashboard adapts to your chart background
• Discord-ready webhook alerts — alert messages are formatted as Discord embed
JSON, ready to pipe directly into a webhook channel
• Pine Screener compatible — includes Signal State, individual component states,
and a Bull Count (0-3) for flexible scanner filtering
• Minimal chart footprint — only the MA line and signal labels are drawn;
bar coloring is off by default
• Fully configurable — all indicator lengths, thresholds, dashboard position
and size are adjustable in settings
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ALERTS
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Three alert conditions are available:
• 3 Bulls Aligned (Long Entry)
• 3 Bears Aligned (Short Entry)
• Full Confluence (Any Direction)
All alert messages include ticker, timeframe, price, and component status.
Messages are pre-formatted as Discord webhook JSON — just paste your webhook
URL in PulseWire's alert notification settings.
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PINE SCREENER
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Scanner columns exported:
• Signal State → 1 (bullish), -1 (bearish), 0 (no confluence)
• Papa Bull / Mama Bull / Baby Bull → individual component states (1 or 0)
• Bull Count → number of bullish layers (0 to 3), useful for "almost there" scans
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This indicator does not repaint and does not use request.security().
All calculations are performed on the current chart's timeframe.
Open source under MPL 2.0.
Stay Liquid. Indicator
ATR Trend Strategy with Moving Average | Fixed TP/SL version📈 ## ATR Trend Strategy with Moving Average
# Overview
This strategy combines a **Moving Average trend filter** with an **ATR-based breakout channel** to identify directional market movements. It is designed for traders who prefer **systematic trend-following strategies with clearly defined risk management**.
The script builds an adaptive channel around a selected Moving Average using **Average True Range (ATR)**. When price moves beyond the ATR band and the move is confirmed for a defined number of bars, a trend state is established. Trade entries can then occur either on the initial breakout or on a pullback to the Moving Average.
The strategy also includes **fixed percentage Take Profit and Stop Loss levels**, allowing users to evaluate performance under consistent risk parameters.
---
⚙️ # Key Features
• **Multiple Moving Average types**
Supports EMA, SMA, WMA, Hull MA, VWMA, RMA, and TEMA.
• **ATR-based dynamic channel**
Uses ATR to create adaptive upper and lower boundaries around the Moving Average.
• **Two entry methods**
Users can choose between breakout entries or Moving Average pullback entries.
• **Trend confirmation filter**
Signals are confirmed only after a configurable number of bars remain beyond the ATR boundary.
• **Built-in risk management**
Includes fixed percentage Take Profit and Stop Loss levels.
• **Trade visualization**
Displays the TP/SL zone directly on the chart for each trade.
• **Performance statistics panel**
Shows key strategy metrics such as:
* Total trades
* Win rate
* Profit factor
* Net profit
* Expectancy
* Average R
* Maximum drawdown
---
🧠 # Strategy Logic
The strategy follows a simple **trend-following structure** :
1️⃣ A Moving Average defines the market's baseline trend.
2️⃣ An ATR multiplier builds a dynamic volatility channel around the Moving Average.
3️⃣ When price breaks above or below this channel and remains there for a specified number of bars, a trend is confirmed.
4️⃣ Entries can occur via:
**Breakout Mode**
* Long when price breaks above the upper ATR band.
* Short when price breaks below the lower ATR band.
**MA Cross Mode**
* After a confirmed trend, entries occur on pullbacks that cross the Moving Average.
5️⃣ Risk is controlled using **fixed percentage Take Profit and Stop Loss levels**.
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⚙️ # Inputs
Moving Average
* MA Type
* MA Length
* MA Source
ATR Signal
* ATR Type
* ATR Length
* ATR Multiplier
Trend Confirmation
* Number of confirmation bars
* Confirmation price source (Close or High/Low)
Entry & Risk Management
* Entry method (Breakout or MA Cross)
* Take Profit (%)
* Stop Loss (%)
---
📊 ## Usage Notes
This strategy is designed for **trend-following market conditions** and may perform best in environments with sustained directional movement.
Users are encouraged to **experiment with different Moving Average types, ATR multipliers, and confirmation settings** to adapt the strategy to different markets and timeframes.
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⚠️ ## Disclaimer
This script is provided for **educational and research purposes only**.
Past performance does not guarantee future results.
---
Strategy
Adaptive MAD Supertrend | GForgeAdaptive MAD Supertrend | GForge
The Adaptive MAD Supertrend is a trend-following indicator built on the classic Supertrend framework, but with two core innovations that address well-known weaknesses in the original design: how volatility is measured, and how the indicator behaves across different market conditions.
The Problem With Standard Supertrend
The classic Supertrend uses ATR (Average True Range) as its volatility measure and a fixed multiplier. ATR squares its deviation calculations internally, which means a single spike candle — a news wick, a liquidation cascade — can temporarily blow the bands wide and either trigger a false flip or delay a valid one. On top of that, a fixed multiplier means the indicator behaves identically in a clean trending market and a choppy ranging one. It has no awareness of what the market is actually doing.
Innovation 1 — MAD Replaces ATR
This indicator uses Mean Absolute Deviation as its volatility measure instead of ATR or Standard Deviation.
MAD = mean( |close − mean(close, n)| , n )
The key difference is linearity. Each bar contributes its deviation to the average equally, without squaring. A spike candle influences the band width, but proportionally — it cannot disproportionately dominate the calculation the way it can in ATR or StdDev. The result is a more stable, consistent band width that responds to genuine volatility without overreacting to outlier bars.
An optional EMA smoothing layer can be applied to the raw MAD output before it scales the bands, which further stabilizes band width during volatile periods.
Innovation 2 — Kaufman Efficiency Ratio Scales the Multiplier
The Efficiency Ratio (ER), developed by Perry Kaufman, measures how efficiently price is moving:
ER = |net price change over n bars| / sum(|bar-to-bar changes|, n)
ER → 1.0: price moved efficiently in one direction — a clean trend
ER → 0.0: price moved a lot but went nowhere — chop and noise
The adaptive multiplier uses ER to scale band width dynamically:
adaptive_multiplier = Multiplier_Chop − ER × (Multiplier_Chop − Multiplier_Trend)
During a clean trend, the multiplier contracts toward your Trend setting — bands tighten and the trailing stop follows price closely, capturing more of the move. During choppy conditions, the multiplier expands toward your Chop setting — bands widen and the stop absorbs noise without flipping unnecessarily.
This means the indicator automatically adjusts its sensitivity to what the market is doing, rather than applying the same fixed behaviour to every bar.
Basis MA
The band centre line (basis) is fully configurable. Rather than raw hl2 like the classic Supertrend, any moving average from the menu can serve as the anchor — the band is built outward from it. The default is T3, a Tillson triple-smoothed MA that provides an extremely clean centre line with minimal lag overshoot. Other useful options include DEMA and TEMA for faster response, VWMA for volume-weighted anchoring, or RMA for higher timeframes.
How to Read It
Line colour: green/up colour = bullish trend, red/down colour = bearish trend
Trend fill: shaded area between price and the trailing stop — visual confirmation of which side of the line price is on
Inactive band: the faint dotted line on the opposite side shows where a flip would trigger if price reaches it
Signal diamonds: markers at each trend flip — below bar for long entries, above bar for short/cash exits
Notes
Optimised and tested on Bitcoin 1D. Performs well on trending instruments across higher timeframes (4H and above).
The MAD + ER combination is theoretically complementary: MAD handles what the band width is, ER handles how much of it to apply. They solve orthogonal problems.
As with all trend-following tools, performance degrades in prolonged sideways markets — the Chop multiplier setting mitigates this but does not eliminate it.
⚠️ Disclaimer
This indicator is a technical analysis tool provided for informational and educational purposes only. It is not financial advice, and nothing presented here should be construed as a recommendation to buy, sell, or hold any asset. Past performance does not guarantee future results.
Developed by GForge Indicator
Cascade Trend Navigator [JOAT]Cascade Trend Navigator
Introduction
The Cascade Trend Navigator is an open-source institutional-grade multi-timeframe trend and flow system that combines dynamic support/resistance zones, volume profile analysis, and liquidity detection into a unified overlay indicator. This comprehensive system integrates multiple proven methodologies to identify high-probability trend continuation and reversal zones where institutional and retail liquidity converge.
The indicator is designed for traders who understand that successful trend following requires more than simple moving average crossovers. By synthesizing adaptive moving averages, dynamic support/resistance zones, volume profile analysis, and liquidity pool detection, this tool helps identify structural market inflection points with institutional-grade precision.
Why This Integration Exists
This indicator combines four distinct analytical frameworks that complement each other:
Adaptive Moving Average System: Uses Hull, TEMA, DEMA, ZEMA, and VWMA calculations for superior trend identification with reduced lag
Dynamic Support/Resistance Zones: Calculates real-time zones using Hull Moving Averages and ATR-based deviation bands
Volume Profile Analysis: Identifies Point of Control (POC) and high-volume price levels where institutional activity concentrates
Liquidity Pool Detection: Tracks equal highs/lows, swing points, and liquidity zones where stop hunts typically occur
Each component addresses different aspects of market structure. The adaptive MA system provides trend direction with minimal lag, dynamic zones reveal real-time support/resistance levels, volume profile shows where institutions are most active, and liquidity detection identifies areas where price reversals are likely. Together, they create a multi-dimensional view of market flow and structure.
Core Components Explained
1. Advanced Moving Average Engine
The indicator offers seven different moving average types, each optimized for specific market conditions:
Hull MA (HMA): wma(2 * wma(src, length/2) - wma(src, length), sqrt(length))
TEMA: 3 * ema1 - 3 * ema2 + ema3 (Triple smoothed)
DEMA: 2 * ema1 - ema2 (Double smoothed)
ZEMA: Zero-lag EMA with lag compensation
VWMA: Volume-weighted for institutional flow tracking
The system uses three MA periods: Fast (default 20), Slow (default 50), and Trend (default 200). Trend direction is determined when Fast MA > Slow MA and price > Trend MA for bullish conditions, with the inverse for bearish conditions.
2. Dynamic Support/Resistance Zone System
Unlike static pivot levels, these zones adapt to current market volatility:
Resistance Zone: HMA(high, length) + (ATR * deviation) to HMA(high, length)
Support Zone: HMA(low, length) to HMA(low, length) - (ATR * deviation)
The zones automatically adjust width based on ATR, making them more relevant during high volatility periods and tighter during consolidation. This adaptive nature provides more accurate entry and exit levels compared to fixed percentage-based zones.
3. Volume Profile Integration
The indicator calculates a real-time volume profile over a specified lookback period:
- Divides the price range into configurable bins (default 20)
- Accumulates volume for each price level
- Identifies Point of Control (POC) - the price level with highest volume
- Displays POC as a dynamic level where institutional activity is concentrated
This helps traders understand where the majority of trading activity occurred and where price is likely to find support or resistance based on volume acceptance.
4. Liquidity Pool Detection System
The system identifies multiple types of liquidity pools:
Equal Highs/Lows: Price levels where multiple highs or lows form at similar levels, creating liquidity pools for institutional players to target
Swing Points: Pivot highs and lows that represent areas where retail stops are likely clustered
Liquidity Sweeps: Instances where price briefly moves beyond recent highs/lows but fails to sustain, indicating stop hunting activity
These areas often precede significant price moves as institutions clear retail positions before establishing their own.
5. Trend Strength Calculation
The indicator calculates trend strength as:
Trend Strength = abs((Fast MA - Slow MA) / Slow MA) * 100
This provides a quantitative measure of trend momentum, helping traders distinguish between strong trending moves and weak corrective phases.
Visual Elements
Moving Average Cloud: Fill between Fast and Slow MAs with gradient coloring based on trend direction
Dynamic Zones: Support zones in green, resistance zones in red with glowing borders
POC Line: Golden cross marking the highest volume price level
Liquidity Markers: Triangles for equal highs/lows, diamonds for swing points
Signal Arrows: BUY/SELL labels for trend changes and zone touches
Trend Background: Subtle background coloring indicating overall market bias
Dashboard: Real-time display of trend status, strength, and distances to key levels
How Components Work Together
The integration creates a layered analysis approach:
Layer 1 - Trend Identification: Adaptive MAs determine primary trend direction with minimal lag
Layer 2 - Dynamic Levels: Support/resistance zones provide entry and exit levels that adapt to volatility
Layer 3 - Volume Confirmation: POC shows where institutions are most active
Layer 4 - Liquidity Mapping: Equal highs/lows and swing points reveal where reversals are likely
Layer 5 - Signal Synthesis: All components combine to generate high-probability trade signals
Example scenario: Price approaches a dynamic support zone (Layer 2) in an uptrend (Layer 1), near the POC level (Layer 3), with equal lows nearby (Layer 4). This confluence suggests a high-probability bounce location.
Input Parameters
Trend Settings:
Fast MA Length: Period for fast moving average (default: 20)
Slow MA Length: Period for slow moving average (default: 50)
Trend MA Length: Period for trend filter (default: 200)
MA Type: Choose from SMA, EMA, HMA, TEMA, DEMA, ZEMA, VWMA
Show MA Cloud: Toggle cloud fill between fast and slow MAs
Zone Settings:
Zone Calculation Length: Period for HMA zone calculation (default: 50)
Zone Deviation: ATR multiplier for zone width (default: 1.5)
Show Support/Resistance Zones: Toggle zone display
Volume Profile Settings:
Volume Profile Length: Lookback period for volume calculation (default: 100)
Number of Price Bins: Granularity of volume profile (default: 20)
Show Volume Profile: Toggle POC display
Liquidity Settings:
Show Liquidity Zones: Toggle liquidity markers
Liquidity Lookback: Period for swing point detection (default: 50)
How to Use This Indicator
Step 1: Identify Trend Direction
Check the MA cloud color and trend background. Green indicates bullish trend, red indicates bearish trend.
Step 2: Locate Dynamic Zones
Identify current support and resistance zones. These adapt to volatility and provide better levels than static pivots.
Step 3: Check Volume Profile
Note the POC level - this shows where most institutional activity occurred and often acts as magnetic price level.
Step 4: Map Liquidity Pools
Look for equal highs/lows and swing points. These areas often see stop hunting before major moves.
Step 5: Wait for Confluence
Best setups occur when multiple elements align: trend direction + zone touch + POC proximity + liquidity pool.
Step 6: Monitor Dashboard
Use the dashboard to track trend strength, distances to key levels, and current signal status.
Best Practices
Use on 15-minute to daily timeframes for optimal signal quality
Combine with proper risk management - zones provide levels, not exact entries
Pay attention to trend strength - stronger trends have higher continuation probability
Watch for zone touches in trending markets as continuation signals
Liquidity sweeps often provide excellent risk:reward entries when they fail
POC acts as magnetic level - price often returns to test these areas
Volume confirmation is critical - avoid signals during low volume periods
Indicator Limitations
Does not provide exact entry/exit signals - requires trader interpretation
Can generate false signals in choppy, sideways markets
Dynamic zones may adjust too quickly in highly volatile conditions
Volume profile requires sufficient lookback data to be meaningful
Liquidity pools don't always get tested - not every level provides opportunity
Trend strength can remain elevated longer than expected during strong moves
Performance varies across different markets and timeframes
Requires understanding of institutional order flow concepts for effective use
Technical Implementation
Built with Pine Script v6 using:
Advanced moving average calculations with zero-lag techniques
Real-time volume profile computation with dynamic binning
Adaptive support/resistance zone calculation using HMA and ATR
Pivot-based liquidity pool detection with swing analysis
Dynamic color gradients based on trend strength and direction
Comprehensive dashboard with real-time statistics
Anti-overlap signal filtering to prevent signal clustering
The code is fully open-source and can be modified to suit individual trading styles and preferences.
Originality Statement
This indicator is original in its integration approach. While individual components (moving averages, support/resistance, volume profile, liquidity detection) are established concepts, this integration is justified because:
It synthesizes four distinct methodologies that address different market aspects
The adaptive zone calculation provides dynamic levels that adjust to current volatility
Volume profile integration shows institutional activity concentration in real-time
Liquidity pool detection reveals areas where institutional stop hunting typically occurs
The combination helps identify confluence zones where multiple factors align
Anti-overlap filtering and trend strength calculation provide quantitative edge
Each component contributes unique information: adaptive MAs provide trend direction with minimal lag, dynamic zones offer volatility-adjusted levels, volume profile reveals institutional activity, and liquidity detection identifies reversal zones. The integration's value lies in presenting these complementary perspectives simultaneously with unified signal generation.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Technical indicators are tools for analysis, not guarantees of future performance. Past performance and backtested results do not guarantee future results. Market conditions change, and strategies that worked historically may not work in the future.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
Indicator
Indicator
LSMA SD | GForgeLSMA SD | GForge
LSMA SD is a trend-following oscillator built for swing trading on higher timeframes. It generates rules-based long and exit signals by measuring where price sits within a statistically-defined volatility envelope anchored to a regression-based trend line.
Core Calculation
The basis line is a Least Squares Moving Average. Unlike a standard moving average which weights past prices, LSMA computes the mathematically optimal straight-line fit across a defined lookback window. This means the basis reflects the actual gradient of a trend — its slope tells you the rate and direction of price movement, not a smoothed echo of where price has been. A short EMA pass is applied to the raw LSMA output as a robustness measure, absorbing single-bar snap artifacts that occur when outlier candles enter or exit the regression window. This is not a smoothing aesthetic — it directly addresses a known fragility in raw LinReg endpoints.
The default source is hlc3 — the average of high, low, and close — rather than close alone. This distributes the regression input across the full bar range, reducing sensitivity to end-of-session price mechanics such as stop runs and last-minute order flow that can distort the trend line without reflecting genuine directional movement.
A Standard Deviation envelope is then constructed around the LSMA basis at a fixed multiplier. The band width is driven entirely by actual price volatility — it widens during high-volatility periods and tightens during quiet ones. There is no secondary adaptive scaling layer. This is intentional: additional dynamic scaling introduces a second noisy signal on top of the basis movement, which in practice degrades signal quality.
The Oscillator
The oscillator expresses where price currently sits within the SD bands on a 0–100 scale. A reading of 0 means price is at the lower band. A reading of 100 means price is at the upper band. A reading of 50 means price is sitting directly on the LSMA trend line itself — the neutral zone between the two signal thresholds represents price consolidating around the regression basis.
Long signals fire when the oscillator crosses above the long threshold (default 74), meaning price has broken decisively into the upper band zone — a momentum confirmation in the direction of the trend, not a mean-reversion trigger. Exit and short signals fire when the oscillator crosses below the short threshold (default 33).
This is a trend-continuation system, not a reversal indicator.
Parameters
The indicator is intentionally low-parameter. LSMA Length sets the regression window. StdDev Length sets the band width lookback and can differ from the LSMA length. StdDev Multiplier sets the fixed band scale. Endpoint Smoothing controls how aggressively window-edge artifacts are absorbed — setting it to 1 disables it entirely. Fewer parameters means less surface area for curve-fitting to historical data.
Default settings are optimised for BTC on the 1D timeframe. Optimize thresholds and lengths for different assets and timeframes before use.
Risk Warning
This indicator is provided for informational and educational purposes only. Past performance, including any results visible on historical bars, does not guarantee or imply future returns. All trading involves risk. You should not make trading decisions based solely on any single indicator. Always apply independent analysis and appropriate risk management.
Developed by GForge Indicator
Luminous Market Breadth Pulse [Pineify]Luminous Market Breadth Pulse — Dual-Factor Breadth & Volume Oscillator
The Luminous Market Breadth Pulse is a market internals oscillator that fuses advance-decline breadth with up/down volume flow into a single, easy-to-read histogram. Rather than relying on price action of a single instrument, this indicator looks beneath the surface of the market to gauge the true health of participation across all listed stocks on the NYSE or NASDAQ. It answers a question that price alone cannot: Are the majority of stocks — and the majority of capital — moving in the same direction?
Key Features
Combines two independent breadth dimensions (advance-decline ratio and up/down volume ratio) into one unified oscillator.
Gradient-colored histogram that visually intensifies as market conviction strengthens.
Built-in signal line (WMA) for crossover-based entry and exit timing.
Supports both NYSE and NASDAQ breadth data with a single toggle.
Four ready-to-use alert conditions for bullish/bearish crossovers and zero-line transitions.
How It Works
The indicator is built on two normalized ratios, each scaled to a –100 to +100 range:
Advance-Decline Ratio — Calculated as (Advancing Issues – Declining Issues) / (Advancing + Declining) × 100. This captures the net directional bias of individual stocks. A reading near +100 means nearly every stock is advancing; near –100, nearly every stock is declining.
Up/Down Volume Ratio — Calculated as (Up Volume – Down Volume) / (Up Volume + Down Volume) × 100. This measures whether capital is flowing into advancing stocks or declining stocks. It adds a critical volume-confirmation layer that pure issue counts miss.
Raw Pulse — The simple average of the two ratios above. Equal weighting ensures that neither breadth nor volume dominates the reading, giving a balanced composite view.
Smoothed Pulse (EMA) — The raw pulse is smoothed with an Exponential Moving Average controlled by the "Pulse Length" input. EMA was chosen because it reacts quickly to shifts in market internals while still filtering single-day noise.
Signal Line (WMA) — A Weighted Moving Average of the smoothed pulse. WMA places more emphasis on recent values than SMA, making it a responsive yet stable reference for crossover signals.
How Multiple Indicators Work Together
The core design philosophy is confirmation through independent data streams . Advance-decline data tells you how many stocks are participating in a move, while up/down volume data tells you how much capital is behind that participation. A rally where many stocks advance but volume is weak scores lower than a rally where both breadth and volume confirm strength. By averaging these two dimensions, the Luminous Pulse filters out misleading signals that either metric alone might produce — for example, a narrow large-cap rally that lifts volume but leaves most issues flat, or a broad advance on thin volume that lacks institutional conviction.
The EMA-smoothed pulse and WMA signal line form a dual-speed system similar in concept to MACD, but applied to market internals rather than price. When the faster pulse crosses above the slower signal, it suggests broadening participation and increasing volume commitment — an early sign of sustainable momentum. The reverse crossover flags deteriorating internals before price may reflect it.
Trading Ideas and Insights
Crossover entries — A bullish signal fires when the pulse crosses above its signal line, indicating improving breadth and volume. A bearish signal fires on the opposite crossover. These work well as confirmation filters alongside price-based setups.
Zero-line regime filter — When the pulse is above zero, market internals favor the bulls; below zero, the bears. Use this as a trend filter: only take long setups when the pulse is positive, and short setups when negative.
Divergence analysis — If the index makes a new high but the Luminous Pulse prints a lower high, internal participation is weakening — a classic breadth divergence that often precedes corrections.
Gradient intensity — The histogram color transparency reflects conviction strength. Deep, vivid bars signal strong consensus; faded bars warn of indecision even if the reading is technically bullish or bearish.
Unique Aspects
Unlike single-factor breadth indicators (e.g., a standalone Advance-Decline Line or McClellan Oscillator), this tool merges issue-count breadth with volume-weighted breadth into one normalized score, reducing false signals from either dimension alone.
The gradient-mapped histogram provides an instant visual gauge of conviction without requiring additional overlays or secondary panels.
All breadth data is pulled on a daily timeframe regardless of your chart's resolution, ensuring consistent readings and avoiding intraday noise artifacts that can distort breadth calculations on lower timeframes.
How to Use
Add the indicator to any chart. It works independently of the charted symbol since it reads exchange-level breadth data.
Select your preferred exchange (NYSE or NASDAQ) in the settings.
Adjust Pulse Length for sensitivity — lower values react faster to shifts in market internals; higher values produce smoother, more deliberate signals.
Adjust Signal Smoothing to control how quickly the signal line tracks the pulse. A shorter smoothing period generates more frequent crossovers; a longer one filters out minor fluctuations.
Use the built-in alert conditions to receive notifications for bullish/bearish crossovers and zero-line transitions without watching the chart.
Customization
Exchange — Toggle between NYSE and NASDAQ to analyze the breadth of your preferred market.
Pulse Length — Controls the EMA period applied to the raw pulse. Default is 10.
Signal Smoothing — Controls the WMA period for the signal line. Default is 5.
Colors — Fully customizable bullish, bearish, and signal line colors to match any chart theme.
Conclusion
The Luminous Market Breadth Pulse gives traders a window into the internal engine of the market. By combining advance-decline breadth with volume flow and presenting the result as a gradient-colored oscillator with a built-in signal line, it offers a concise yet powerful tool for gauging market health, timing entries, and spotting divergences — all from a single indicator panel.
Indicator
Advanced Divergence Hunter [JOAT]Advanced Divergence Hunter
Introduction
The Advanced Divergence Hunter is an open-source multi-oscillator indicator that simultaneously tracks divergences across six different momentum indicators: RSI, MACD, Stochastic RSI, CCI, MFI, and Williams %R. This mashup creates a comprehensive divergence detection system designed to identify momentum exhaustion and potential reversals by analyzing when multiple oscillators simultaneously show divergence from price action.
The indicator addresses a critical limitation of single-oscillator divergence detection: false signals. By requiring confluence across multiple oscillators using different calculation methods, this tool significantly reduces false divergence signals and highlights only the most reliable momentum exhaustion patterns that occur when price and momentum fundamentally disconnect across multiple measurement frameworks.
Chart showing multiple divergence signals across oscillators with dashboard on 1H timeframe
Why This Mashup Exists
This indicator combines six oscillators that detect divergences using fundamentally different methodologies:
RSI: Momentum oscillator based on average gains vs losses
MACD: Trend-following momentum using EMA convergence/divergence
Stochastic RSI: Stochastic calculation applied to RSI for enhanced sensitivity
CCI (Commodity Channel Index): Measures deviation from statistical mean
MFI (Money Flow Index): Volume-weighted RSI showing buying/selling pressure
Williams %R: Momentum indicator measuring overbought/oversold using highest high/lowest low
Each oscillator responds to different market dynamics: RSI tracks momentum speed, MACD shows trend strength changes, Stochastic RSI catches early shifts, CCI identifies statistical extremes, MFI incorporates volume, and Williams %R uses price extremes. When multiple oscillators show divergence simultaneously, it indicates genuine momentum exhaustion rather than noise from a single calculation method.
The mashup is justified because these oscillators use distinct mathematical approaches (rate of change, moving average convergence, stochastic, statistical deviation, volume-weighted, price extremes) that respond to different aspects of price movement. Confluence across multiple methods provides significantly higher reliability than any single divergence signal.
Example showing all six oscillators with divergence markers and alignment indicators
Core Components Explained
1. RSI Divergence Detection
Standard RSI calculation with pivot-based divergence logic:
rsi = ta.rsi(close, 14)
// Identify swing points
pivotHigh = ta.pivothigh(rsi, 5, 5)
pivotLow = ta.pivotlow(rsi, 5, 5)
// Regular Bullish Divergence
// Price: Lower Low, RSI: Higher Low
bullDiv = priceLow < prevPriceLow AND rsiLow > prevRSILow
// Regular Bearish Divergence
// Price: Higher High, RSI: Lower High
bearDiv = priceHigh > prevPriceHigh AND rsiHigh < prevRSIHigh
2. MACD Histogram Divergence
MACD histogram divergences often lead price divergences:
= ta.macd(close, 12, 26, 9)
// Histogram divergence detection
// Bullish: Price LL, Histogram HL
// Bearish: Price HH, Histogram LH
The indicator plots MACD histogram with enhanced visualization and tracks divergences separately from RSI.
3. Stochastic RSI Divergence
More sensitive than regular RSI, catches early momentum shifts:
stochRSI = ta.stoch(rsi, rsi, rsi, 14)
// K and D line divergences
// Often diverges before regular RSI
Stochastic RSI K and D lines are plotted, and divergences on both lines are tracked independently.
4. CCI Divergence Detection
CCI measures price deviation from statistical mean:
cci = ta.cci(close, 20)
// CCI divergences indicate statistical exhaustion
// Bullish: Price LL, CCI HL
// Bearish: Price HH, CCI LH
CCI divergences are particularly reliable at extreme levels (> +100 or < -100).
5. MFI Divergence (Volume-Weighted)
MFI incorporates volume, making divergences more significant:
// Calculate typical price
typicalPrice = (high + low + close) / 3
// Money flow with volume
rawMoneyFlow = typicalPrice * volume
// MFI calculation
mfi = 100 - (100 / (1 + positiveFlow / negativeFlow))
// Volume divergences often lead price
// Bullish: Price LL, MFI HL (buying pressure increasing)
// Bearish: Price HH, MFI LH (selling pressure increasing)
MFI divergences are weighted more heavily in the confluence system because they incorporate volume.
6. Williams %R Divergence
Williams %R uses highest high and lowest low:
williamsR = -100 * (ta.highest(high, 14) - close) / (ta.highest(high, 14) - ta.lowest(low, 14))
// Divergences at extreme levels (-80 to -100 or -20 to 0)
// Bullish: Price LL, Williams %R HL
// Bearish: Price HH, Williams %R LH
Williams %R divergences are most reliable when oscillator is in extreme zones.
Divergence Confluence System
The indicator tracks divergences across all six oscillators and calculates confluence:
Divergence Confluence Score:
- Single oscillator divergence: 1 point
- Two oscillators: 2 points
- Three oscillators: 4 points
- Four oscillators: 7 points
- Five oscillators: 11 points
- All six oscillators: 15 points (MEGA divergence)
Divergence classification:
Weak Divergence: 1-2 oscillators (score 1-2)
Moderate Divergence: 3 oscillators (score 4)
Strong Divergence: 4 oscillators (score 7)
Very Strong Divergence: 5 oscillators (score 11)
MEGA Divergence: All 6 oscillators (score 15)
The dashboard displays which oscillators are showing divergence and the total confluence score.
Oscillator Alignment Analysis
Beyond divergences, the indicator tracks oscillator alignment:
Alignment Score:
- RSI in healthy range (40-60 bull, 60-40 bear): +1
- MACD histogram direction: +1
- Stochastic RSI position: +1
- CCI direction: +1
- MFI level: +1
- Williams %R position: +1
Total Alignment: 0-6 points
Alignment interpretation:
5-6 aligned: Strong momentum consensus
3-4 aligned: Moderate momentum
0-2 aligned: Weak or conflicting momentum
Enhanced Dashboard System
The indicator features an 11-row dashboard showing:
Row 1: Overall momentum direction (BULL/BEAR/NEUTRAL)
Row 2: Divergence confluence score with color coding
Row 3: RSI value and divergence status
Row 4: MACD histogram status
Row 5: Stochastic RSI K value
Row 6: CCI value and status
Row 7: MFI value and divergence status
Row 8: Williams %R value
Row 9: Momentum strength (0-100)
Row 10: Oscillator alignment (X/6 aligned)
Row 11: Active divergences count
Dashboard showing divergence confluence with individual oscillator breakdown
Visual Elements
Oscillator Lines: All six oscillators plotted with distinct colors
Divergence Labels: "DIV" markers at divergence points, sized by confluence
Confluence Markers: Large diamond shapes for MEGA divergences (6/6)
Background Zones: Color-coded backgrounds for extreme conditions
Overbought/Oversold Lines: Reference levels for each oscillator
Zero/Midpoint Lines: Centerline references
Histogram Bars: MACD histogram with gradient coloring
Dashboard: Comprehensive table with all oscillator readings
How Components Work Together
The mashup creates layered divergence analysis:
Layer 1 - Individual Detection: Each oscillator independently detects divergences
Layer 2 - Confluence Calculation: System counts how many oscillators show divergence
Layer 3 - Weighting: Volume-based divergences (MFI) weighted more heavily
Layer 4 - Alignment Check: Verifies overall oscillator consensus
Layer 5 - Extreme Zones: Identifies when divergences occur at statistical extremes
Layer 6 - Signal Generation: Produces graded signals based on confluence strength
Example scenario: Price makes higher high, but RSI, MACD, Stochastic RSI, and MFI all make lower highs (4/6 divergence). CCI and Williams %R are in extreme overbought zones. Confluence score is 7 (Strong Divergence), and dashboard shows 4 active divergences. This signals high-probability bearish reversal setup.
Input Parameters
Oscillator Settings:
RSI Length: Period for RSI (default: 14)
MACD Settings: Fast 12, Slow 26, Signal 9
Stochastic RSI Length: Period for Stoch RSI (default: 14)
CCI Length: Period for CCI (default: 20)
MFI Length: Period for MFI (default: 14)
Williams %R Length: Period for Williams %R (default: 14)
Divergence Settings:
Pivot Lookback: Bars for pivot detection (default: 5)
Min Confluence: Minimum oscillators for signal (default: 3)
Show All Divergences: Display single-oscillator divergences (default: disabled)
Show Only Strong: Display only 4+ confluence (default: enabled)
Display Options:
Show Dashboard: Toggle dashboard (default: enabled)
Show Oscillators: Toggle oscillator plots (default: enabled)
Show Background Zones: Toggle extreme zone coloring (default: enabled)
Dashboard Position: Top-right, bottom-right, etc.
How to Use This Indicator
Step 1: Monitor Divergence Confluence
Watch the dashboard divergence score. Wait for 3+ oscillators showing divergence (score 4+) before considering reversal trades.
Step 2: Check Oscillator Extremes
Divergences are most reliable when oscillators are in extreme zones (RSI > 70 or < 30, MFI > 80 or < 20, etc.).
Step 3: Verify Alignment
Check oscillator alignment score. Low alignment (0-2) with high divergence confluence suggests strong reversal potential.
Step 4: Identify MEGA Divergences
When all 6 oscillators show divergence (MEGA), it signals extremely high probability reversal setup. These are rare but very reliable.
Step 5: Confirm with Price Action
Wait for price action confirmation (reversal candlestick patterns, trendline breaks) before entering trades based on divergences.
Step 6: Use for Exit Signals
If holding trend-following position and strong divergence appears, consider taking profits or tightening stops.
Best Practices
Use on 15-minute to 4-hour timeframes for optimal divergence reliability
Wait for 3+ oscillator confluence before acting on divergence signals
MEGA divergences (6/6) are rare but extremely reliable - don't ignore them
MFI divergences are particularly significant because they incorporate volume
Divergences in strong trends often lead to pullbacks, not full reversals
Combine with support/resistance levels for precise entry timing
Hidden divergences signal trend continuation, regular divergences signal reversal
Multiple consecutive divergences increase reversal probability
Use oscillator alignment to gauge overall momentum health
Indicator Limitations
Divergences can persist for extended periods before reversal occurs
Strong trends can continue despite multiple oscillator divergences
Pivot-based detection means divergences are confirmed with lag
False divergences can occur in choppy, ranging markets
MEGA divergences are rare - waiting only for these may miss opportunities
Oscillator calculations vary in sensitivity - some may diverge prematurely
Requires understanding of each oscillator's characteristics
No divergence system eliminates false signals entirely
Performance varies across different markets and volatility regimes
Technical Implementation
Built with Pine Script v6 using:
Six independent oscillator calculations
Pivot-based divergence detection for each oscillator
Confluence scoring algorithm with weighted components
Oscillator alignment tracking system
Enhanced 11-row dashboard with real-time updates
Dynamic background zones for extreme conditions
Anti-overlap logic for divergence labels
Gradient coloring for MACD histogram
The code is fully open-source and can be modified to adjust oscillator parameters, confluence thresholds, and visual preferences.
Originality Statement
This indicator is original in its multi-oscillator divergence confluence approach. While individual oscillators (RSI, MACD, Stochastic RSI, CCI, MFI, Williams %R) are established tools, this mashup is justified because:
It tracks divergences across six oscillators using fundamentally different calculations
The confluence scoring system quantifies divergence strength across multiple methods
Integration of volume-weighted divergence (MFI) with price-based oscillators
Oscillator alignment analysis provides momentum consensus measurement
Enhanced dashboard presents complex multi-oscillator data clearly
MEGA divergence detection identifies extremely rare, high-probability setups
Each oscillator contributes unique divergence information: RSI shows momentum speed divergence, MACD shows trend strength divergence, Stochastic RSI catches early divergences, CCI shows statistical divergence, MFI shows volume-weighted divergence, and Williams %R shows price extreme divergence. The mashup's value lies in identifying when multiple independent calculation methods simultaneously show momentum exhaustion, significantly reducing false signals.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Divergence indicators are analytical tools that identify potential momentum exhaustion, not guarantees of reversals. Divergences can persist for extended periods, and strong trends can continue despite multiple divergence signals. Past divergence performance does not guarantee future results.
The confluence score is a mathematical calculation based on current oscillator readings, not a prediction of future price movement. High confluence scores do not ensure profitable trades. Market conditions change, and divergence patterns that worked historically may not work in the future.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
Multi-Timeframe Strength Scanner [JOAT]Multi-Timeframe Strength Scanner
Introduction
The Multi-Timeframe Strength Scanner is an open-source indicator that combines higher timeframe trend analysis with current timeframe momentum indicators to create a comprehensive market strength assessment system. This mashup integrates ADX (Average Directional Index), Donchian Channels, VWAP (Volume Weighted Average Price), RSI divergence detection, and multi-timeframe EMA analysis into a unified scanner that identifies when trend strength aligns across multiple timeframes.
The indicator addresses a critical trading challenge: signals that look strong on one timeframe often fail because higher timeframes are moving in the opposite direction. By analyzing 15-minute, 1-hour, and 4-hour timeframes simultaneously while monitoring current timeframe momentum, this tool helps traders avoid counter-trend trades and identify high-probability setups where multiple timeframes align.
Chart showing multi-timeframe alignment dashboard and strength indicators on 15M timeframe
Why This Mashup Exists
This indicator combines five analytical frameworks that address different aspects of trend strength:
ADX Analysis: Measures trend strength regardless of direction using directional movement
Donchian Channels: Identifies breakouts and trend continuation using price extremes
VWAP: Shows institutional average price and volume-weighted fair value
RSI Divergence: Detects momentum exhaustion at current timeframe swing points
Multi-Timeframe EMAs: Confirms trend direction across 15M, 1H, and 4H timeframes
Each component serves a specific purpose: ADX quantifies trend strength, Donchian Channels identify breakout momentum, VWAP reveals institutional positioning, RSI divergences warn of reversals, and multi-timeframe EMAs ensure directional alignment. Together, they create a strength scanner that filters out weak, counter-trend setups and highlights only those with multi-timeframe confirmation.
The mashup is justified because these components use fundamentally different data (directional movement, price extremes, volume-weighted averages, momentum oscillators, moving averages) that respond to different market conditions. When they align, it indicates genuine trend strength rather than temporary momentum.
Core Components Explained
1. ADX Trend Strength System
ADX (Average Directional Index) measures trend strength on a scale of 0-100:
= ta.dmi(adxLength, adxLength)
// Trend strength classification
strongTrend = adx > adxThreshold // Default: 20
veryStrongTrend = adx > 40
extremeTrend = adx > 60
// Direction determination
bullishTrend = plus > minus
bearishTrend = minus > plus
ADX interpretation:
ADX < 20: Weak trend or ranging market - avoid trend-following strategies
ADX 20-40: Moderate trend strength - standard trend-following viable
ADX 40-60: Strong trend - high-probability trend continuation
ADX > 60: Extreme trend - potential exhaustion or very strong momentum
The indicator plots ADX as a line with color coding:
Green: Strong bullish trend (ADX > 20, +DI > -DI)
Red: Strong bearish trend (ADX > 20, -DI > +DI)
Gray: Weak trend or ranging (ADX < 20)
2. Donchian Channel Breakout System
Donchian Channels track the highest high and lowest low over a specified period:
donchianLength = 20 // Configurable
upperChannel = ta.highest(high, donchianLength)
lowerChannel = ta.lowest(low, donchianLength)
midChannel = (upperChannel + lowerChannel) / 2
Breakout signals:
Bullish Breakout: Close above upper channel = new 20-bar high
Bearish Breakout: Close below lower channel = new 20-bar low
Channel Position: Price near upper channel = bullish strength, near lower = bearish strength
The indicator uses Donchian breakouts to confirm trend strength. When price breaks out of the channel with strong ADX, it signals high-momentum trend continuation.
3. VWAP Analysis
VWAP (Volume Weighted Average Price) calculates the average price weighted by volume:
vwap = ta.vwap(hlc3)
// Position analysis
aboveVWAP = close > vwap // Bullish positioning
belowVWAP = close < vwap // Bearish positioning
// Distance from VWAP
vwapDistance = ((close - vwap) / vwap) * 100
VWAP significance:
Institutional traders use VWAP as benchmark for execution quality
Price above VWAP = buyers in control, institutions paying premium
Price below VWAP = sellers in control, institutions getting discount
Large distance from VWAP = potential mean reversion opportunity
VWAP acts as dynamic support/resistance level
The indicator plots VWAP with dynamic coloring based on price position and uses it for trend confirmation.
4. RSI Divergence Detection
The indicator detects divergences using pivot-based analysis:
rsi = ta.rsi(close, 14)
// Identify swing points
pivotHigh = ta.pivothigh(rsi, 5, 5)
pivotLow = ta.pivotlow(rsi, 5, 5)
// Compare current pivot with previous pivot
bullishDivergence = price makes lower low AND rsi makes higher low
bearishDivergence = price makes higher high AND rsi makes lower high
Divergence types:
Regular Bullish: Price LL, RSI HL - momentum improving, potential reversal up
Regular Bearish: Price HH, RSI LH - momentum deteriorating, potential reversal down
Hidden Bullish: Price HL, RSI LL - trend continuation signal in uptrend
Hidden Bearish: Price LH, RSI HH - trend continuation signal in downtrend
Divergences are marked with "DIV" labels and used to warn of potential trend exhaustion or continuation.
5. Multi-Timeframe EMA Analysis
The indicator analyzes trend direction across three higher timeframes:
// Request higher timeframe data
htf15mEMA = request.security(syminfo.tickerid, "15", ta.ema(close, 21))
htf1hEMA = request.security(syminfo.tickerid, "60", ta.ema(close, 21))
htf4hEMA = request.security(syminfo.tickerid, "240", ta.ema(close, 21))
// Determine trend direction
htf15mBullish = close > htf15mEMA
htf1hBullish = close > htf1hEMA
htf4hBullish = close > htf4hEMA
// Count aligned timeframes
bullishCount = (htf15mBullish ? 1 : 0) + (htf1hBullish ? 1 : 0) + (htf4hBullish ? 1 : 0)
bearishCount = (!htf15mBullish ? 1 : 0) + (!htf1hBullish ? 1 : 0) + (!htf4hBullish ? 1 : 0)
Alignment classification:
STRONG BULL: All 3 timeframes bullish (3/3 alignment)
BULL: 2 out of 3 timeframes bullish
MIXED: Timeframes conflicting (1-1-1 or 2-1 split)
BEAR: 2 out of 3 timeframes bearish
STRONG BEAR: All 3 timeframes bearish (3/3 alignment)
Example showing multi-timeframe alignment dashboard with all three timeframes bullish
Strength Scoring System
The indicator calculates a comprehensive strength score (0-100) by evaluating:
Strength Score Components:
- ADX Strength: Up to 25 points (ADX > 40 = 25, ADX > 20 = 15, ADX < 20 = 0)
- ADX Direction: Up to 15 points (+DI > -DI = 15 for bull, -DI > +DI = 15 for bear)
- Donchian Position: Up to 15 points (breakout = 15, near channel = 10, mid-channel = 5)
- VWAP Position: Up to 15 points (above VWAP = 15 for bull, below = 15 for bear)
- MTF Alignment: Up to 20 points (3/3 = 20, 2/3 = 13, 1/3 = 7)
- RSI Level: Up to 10 points (healthy range = 10, extreme = 5, divergence = -5)
Score interpretation:
80-100: Extremely strong trend - high-probability continuation
60-79: Strong trend - favorable for trend-following
40-59: Moderate trend - selective trend trades
20-39: Weak trend - caution, potential reversal
0-19: Very weak or counter-trend - avoid trend-following
The dashboard displays the strength score with color coding and individual component breakdown.
Visual Elements
ADX Line: Main trend strength indicator with dynamic coloring
+DI/-DI Lines: Directional movement indicators
ADX Threshold: Horizontal line at 20 (configurable)
Donchian Channels: Upper, middle, and lower channel lines
VWAP Line: Volume-weighted average price with dynamic coloring
Divergence Labels: "DIV" markers at RSI divergence points
Strength Bars: Background coloring based on strength score
Dashboard: Comprehensive table showing:
- Current strength score
- ADX value and direction
- Donchian position
- VWAP position
- MTF alignment (15M, 1H, 4H status)
- RSI level
- Overall trend classification
Chart showing strength dashboard with component breakdown and visual indicators
How Components Work Together
The mashup creates a layered strength analysis:
Layer 1 - Trend Strength: ADX quantifies how strong the trend is
Layer 2 - Breakout Momentum: Donchian Channels identify momentum surges
Layer 3 - Institutional Positioning: VWAP shows where smart money is positioned
Layer 4 - Momentum Health: RSI divergences warn of exhaustion
Layer 5 - Multi-Timeframe Confirmation: HTF EMAs ensure directional alignment
Layer 6 - Synthesis: Strength score combines all factors into actionable metric
Example scenario: ADX is 45 (Layer 1), price breaks above Donchian upper channel (Layer 2), trading above VWAP (Layer 3), no RSI divergence (Layer 4), and all three higher timeframes are bullish (Layer 5). The strength score reaches 90 (Layer 6), signaling extremely strong bullish trend with high continuation probability.
Input Parameters
ADX Settings:
ADX Length: Period for ADX calculation (default: 14)
ADX Threshold: Minimum ADX for strong trend (default: 20)
Show +DI/-DI: Toggle directional indicators (default: enabled)
Donchian Settings:
Donchian Length: Period for channel calculation (default: 20)
Show Channels: Toggle channel display (default: enabled)
Breakout Sensitivity: Threshold for breakout signals (default: close beyond channel)
VWAP Settings:
Show VWAP: Toggle VWAP line (default: enabled)
VWAP Reset: Session, Week, Month, or Never (default: Daily)
Distance Alert: Alert when price moves X% from VWAP (default: 2%)
RSI Settings:
RSI Length: Period for RSI calculation (default: 14)
Show Divergences: Toggle divergence markers (default: enabled)
Pivot Lookback: Bars for pivot detection (default: 5)
Multi-Timeframe Settings:
HTF 1: First higher timeframe (default: 15 minutes)
HTF 2: Second higher timeframe (default: 1 hour)
HTF 3: Third higher timeframe (default: 4 hours)
EMA Length: Period for HTF EMAs (default: 21)
Min Alignment: Minimum timeframes aligned for signal (default: 2/3)
Display Options:
Show Dashboard: Toggle strength score table (default: enabled)
Show Strength Bars: Toggle background coloring (default: enabled)
Dashboard Position: Top-right, top-left, bottom-right, bottom-left
Color Theme: Choose between multiple color schemes
How to Use This Indicator
Step 1: Check Multi-Timeframe Alignment
Review the dashboard MTF section. Look for 2/3 or 3/3 alignment in your intended trade direction. Avoid trades when timeframes are mixed or opposing.
Step 2: Verify ADX Strength
Ensure ADX is above 20 (preferably above 30) for trend-following trades. ADX below 20 suggests ranging market where trend strategies underperform.
Step 3: Confirm Donchian Position
Check if price is near or breaking through Donchian channels. Breakouts with strong ADX signal high-momentum moves.
Step 4: Assess VWAP Position
For long trades, prefer price above VWAP. For short trades, prefer price below VWAP. Large distances from VWAP may indicate overextension.
Step 5: Check for Divergences
Look for RSI divergence warnings. If divergence appears with extreme strength score, consider taking profits or tightening stops.
Step 6: Review Strength Score
Use the overall strength score as final filter. Scores above 70 indicate strong trend conditions favorable for trend-following. Scores below 40 suggest caution.
Best Practices
Use on 5-minute to 1-hour timeframes for optimal multi-timeframe analysis
Wait for 2/3 or 3/3 MTF alignment before entering trend trades
Strong ADX (> 30) with MTF alignment produces highest-probability setups
Donchian breakouts with ADX > 25 often lead to sustained moves
VWAP acts as dynamic support/resistance - use for entry refinement
RSI divergences in strong trends often lead to pullbacks, not reversals
Strength score above 80 suggests strong trend continuation potential
Avoid trading when strength score is below 40 unless counter-trend trading
Combine with price action and key levels for precise entries
Indicator Limitations
ADX is lagging indicator - trend strength confirmed after move has started
Donchian breakouts can produce false signals in choppy markets
VWAP resets daily, may not reflect longer-term institutional positioning
Multi-timeframe analysis requires sufficient data history
Strength score is mathematical calculation, not prediction of future movement
Strong trends can reverse suddenly despite high strength scores
Divergences can persist for extended periods in strong trends
Higher timeframe data may repaint on lower timeframes
Requires understanding of trend analysis concepts for effective use
Technical Implementation
Built with Pine Script v6 using:
DMI/ADX calculation with directional indicators
Donchian Channel calculation with breakout detection
VWAP calculation with session reset options
Pivot-based RSI divergence detection
request.security() for multi-timeframe EMA analysis
Comprehensive strength scoring algorithm
Dynamic dashboard with component breakdown
Background coloring based on strength levels
The code is fully open-source and can be modified to adjust timeframes, thresholds, and scoring weights.
Originality Statement
This indicator is original in its multi-timeframe strength integration approach. While individual components (ADX, Donchian Channels, VWAP, RSI divergence, EMAs) are established tools, this mashup is justified because:
It combines trend strength measurement with multi-timeframe directional confirmation
The strength scoring system quantifies trend quality across multiple dimensions
Multi-timeframe analysis prevents counter-trend trades on lower timeframes
Integration of volume-weighted analysis (VWAP) with momentum indicators
Divergence detection provides early warning within trend strength context
Comprehensive dashboard presents complex multi-timeframe data clearly
Each component contributes unique information: ADX measures trend strength, Donchian identifies breakout momentum, VWAP shows institutional positioning, RSI divergences warn of exhaustion, and MTF EMAs ensure alignment. The mashup's value lies in filtering out weak, counter-trend setups and highlighting only those with genuine multi-timeframe strength confirmation.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Trend strength indicators are lagging tools that confirm trends after they've begun. Strong trends can reverse suddenly, and high strength scores do not guarantee trend continuation. Multi-timeframe analysis does not eliminate the risk of losses.
The strength score is a mathematical calculation based on current market data, not a prediction of future price movement. Past trend strength does not guarantee future performance. Market conditions change, and trends that appear strong can reverse without warning.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
Indicator
Nova_Stream Indicator V16.1Technical Documentation: Nova_Stream V16.1
Core Methodology
Nova_Stream is a multi-layered trend analysis framework designed for Version 6 of Pine Script. It operates by analyzing the convergence and divergence of two distinct moving average clusters against a long-term institutional baseline. Unlike standard oscillators, Nova_Stream evaluates market "velocity" through linear regression and volatility-adjusted distance metrics.
The Multi-Wave Engine
The system processes price data through 12 specific Exponential Moving Averages (EMAs), divided into two functional groups:
Momentum Cluster (Traders Group): Six blue EMAs (Periods 3 to 15) tracking immediate liquidity and short-term trend shifts.
Value Cluster (Investors Group): Six orange EMAs (Periods 50 to 100) representing the core psychological support and resistance zones of the market.
The Backbone (Institutional Filter): A 200-period EMA that acts as a global trend switch. For a signal to be valid, price action must maintain a specific relationship with this line to ensure institutional alignment.
The Intelligent Dashboard (UI Engine)
The integrated dashboard serves as a real-time data processor. It translates complex mathematical states into a readable format:
Market Status: Uses Linear Regression to determine the slope of the Backbone. If the slope is within the slopeThreshold, the market is classified as RANGE.
Squeeze Radar: Monitors the distance between the Momentum and Value clusters. A "Squeeze" alert is triggered when the distance is less than a fraction of the ATR, signaling potential volatility expansion.
Correction Risk: Measures the standard deviation of price from the Value Cluster. High deviation triggers an OVERBOUGHT/OVERSOLD warning to prevent entries at exhaustion points.
Volume Flow: A cumulative net-volume tracker that filters out low-conviction price moves.
Alert System Architecture
Nova_Stream includes a comprehensive alert suite based on alertcondition. These are designed to be used for both "Execution" and "Risk Management".
Nova/SuperNova Signals: Triggered when all technical layers (Trend, Volume, and MTF) align.
Safe Exit (SF): A specialized alert for closing positions. It triggers when the price shows exhaustion (Overbought/Oversold) and loses its momentum relative to the exitWave.
Multi-Timeframe (MTF) Verification
To increase the probability of success, the script includes a built-in MTF filter. It automatically fetches the trend state of a higher timeframe (e.g., 1-hour trend for a 10-minute chart) to ensure the user is not trading against the dominant market direction.
Disclaimer: This script is an educational and analytical tool only. It is not intended to be financial advice, and should not be used as the sole basis for any investment decision. Trading involves significant risk, and past performance is not indicative of future results. The author of this script shall not be held liable for any financial losses incurred through the use of this tool. Always perform your own due diligence and consult with a certified financial professional before trading. Indicator
Indicator
Strategy
Welles Wilders MAs - MTFWelles Wilder Moving Averages - Multi-Timeframe (MTF)
This indicator displays Welles Wilder's Smoothed Moving Averages calculated from a higher timeframe of your choice, allowing you to view longer-term trend data on lower timeframe charts (such as tick charts, second charts, or any intraday timeframe).
KEY FEATURES:
• Multi-Timeframe Capability: Plot moving averages from any timeframe (default: 5 minutes) on your current chart
• Four Trend Layers: Short (34), Medium (72), Medium Extension (89), and Long (144) period moving averages
• Welles Wilder Smoothing: Uses the original Welles Wilder moving average formula for smoother, less reactive trend lines
• Flexible Coloring Options: Choose between price-based coloring or MA crossover-based coloring
• Visual Trend Zones: Shaded areas between moving averages help identify trend strength and direction
• Customizable: Adjust all periods, colors, and the source timeframe to fit your trading style
IDEAL FOR:
• Tick chart traders who want to see higher timeframe trends
• Day traders needing multi-timeframe analysis on a single chart
• Traders using range bars, Renko, or other non-time-based charts
• Anyone wanting to filter trades based on higher timeframe moving average trends
HOW TO USE:
1. Add the indicator to your chart
2. Set your preferred timeframe in the settings (default is 5 minutes)
3. Adjust MA periods and colors to your preference
4. Use the MA crossovers and price position relative to the MAs to identify trend direction and potential entry/exit points
The Welles Wilder MA is a type of exponential moving average that provides smooth trend-following capabilities with less whipsaw than traditional moving averages. Indicator
Welles Wilders MAs - MTFWelles Wilder Moving Averages - Multi-Timeframe (MTF)
This indicator displays Welles Wilder's Smoothed Moving Averages calculated from a higher timeframe of your choice, allowing you to view longer-term trend data on lower timeframe charts (such as tick charts, second charts, or any intraday timeframe).
KEY FEATURES:
• Multi-Timeframe Capability: Plot moving averages from any timeframe (default: 5 minutes) on your current chart
• Four Trend Layers: Short (34), Medium (72), Medium Extension (89), and Long (144) period moving averages
• Welles Wilder Smoothing: Uses the original Welles Wilder moving average formula for smoother, less reactive trend lines
• Flexible Coloring Options: Choose between price-based coloring or MA crossover-based coloring
• Visual Trend Zones: Shaded areas between moving averages help identify trend strength and direction
• Customizable: Adjust all periods, colors, and the source timeframe to fit your trading style
IDEAL FOR:
• Tick chart traders who want to see higher timeframe trends
• Day traders needing multi-timeframe analysis on a single chart
• Traders using range bars, Renko, or other non-time-based charts
• Anyone wanting to filter trades based on higher timeframe moving average trends
HOW TO USE:
1. Add the indicator to your chart
2. Set your preferred timeframe in the settings (default is 5 minutes)
3. Adjust MA periods and colors to your preference
4. Use the MA crossovers and price position relative to the MAs to identify trend direction and potential entry/exit points
The Welles Wilder MA is a type of exponential moving average that provides smooth trend-following capabilities with less whipsaw than traditional moving averages. Indicator
Indicator
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend
Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise.
Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases.
🔍 How It Works
The indicator combines:
• A user-selectable Moving Average as the core trend base
• ATR-based volatility bands to detect trend transitions
• An adaptive filter that determines when the base should update
The adaptive mechanism evaluates market conditions using one of several selectable drivers:
• ATR expansion (volatility increase)
• Rate-of-change acceleration
• Rising trading volume
• Increasing divergence between price and the moving average
If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations.
Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands.
When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance.
⚙️ Key Features
• Adaptive moving-average baseline
• Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA
• ATR-based volatility bands
• Multiple adaptation modes (volatility, momentum, volume, divergence)
• Reduced noise during consolidation phases
• Smooth trend visualization and transition markers
🧩 Inputs Overview
• Moving-average type and length
• Price source selection
• ATR length and multiplier
• Adaptive filter method selection
📌 Usage Notes
• Useful for identifying prevailing market direction and trend shifts.
• Adaptive filtering can help reduce false signals during sideways markets.
• Signals may update intrabar on lower timeframes.
• Best results are achieved when combined with confirmation tools or risk management rules.
• This script is intended for analytical purposes and does not provide financial advice.
Indicator
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals.
🔶 Advanced Dual-Component Momentum Engine
Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics.
// Core Momentum Framework
EMA_Fast = ta.ema(src, Fast_Length)
EMA_Slow = ta.ema(src, Slow_Length)
Trend = EMA_Fast - EMA_Slow
// Volatility Regime Detection
ATR_Short = ta.atr(ATR_Length)
ATR_Long = ta.atr(ATR_Length * 2)
Vol_Ratio = ATR_Short / ATR_Long
Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1)
// Pressure Component
Pressure = (close - open) / (high - low)
// Composite Momentum
Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight)
🔶 Hyperbolic Tangent Normalization Framework
Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion.
// Tanh Clamping Logic
tanh(x) =>
x_clamped = clamp(x, -5.0, 5.0)
e = exp(2.0 * x_clamped)
(e - 1.0) / (e + 1.0)
Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale
🔶 Volatility Regime Weighting System
Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure.
🔶 Multi-Tiered Band Architecture
Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection.
🔶 Pulse Envelope Visualization
Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity.
🔶 Signal Line Integration Framework
Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts.
🔶 Histogram Divergence Display
Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis.
🔶 Advanced Reversion Signal Logic
Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions.
🔶 Comprehensive Alert Framework
Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation.
🔶 Adaptive Bar Coloring System
Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis.
🔶 Performance Optimization Architecture
Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis.
🔶 Why Choose Tanh-Clamped Momentum Oscillator ?
This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets. Indicator
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6 Moving Averages (SMA, WMA, EMA etc.)6 Moving Averages is a simple and flexible overlay indicator that lets you plot up to six moving averages on the price chart. Each moving average can be customized by type (SMA, EMA, WMA, etc.), length, color, and visibility, making it ideal for trend analysis, dynamic support and resistance, and moving-average confluence across any market or timeframe. Indicator
