インジケーター
インジケーター
[ A L P H A X ] Vision - Smart Entry/Exit SignalsAlphaX Vision — Fusion Trend Engine, Smart Entry/Exit Signals, Multi-Confluence Confidence Scoring & Choppy Market Detection
AlphaX Vision is a professional-grade trend following and signal system built on a proprietary Fusion Moving Average engine that blends five different moving average types into a single adaptive trend baseline. It delivers three distinct signal layers — Trend Change labels, Re-Entry triangles, and Exit markers — each governed by a multi-factor confidence scoring system and institutional-grade filters. Designed for intraday traders on fast-moving instruments like XAUUSD, indices, and forex majors.
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📸 Visual Overview
Full chart view showing Fusion Cloud, trend labels, re-entry triangles, and exit markers on XAUUSD 1-minute
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🔬 The Fusion Engine — How It Works
At the core of AlphaX Vision is the Fusion Moving Average — a proprietary composite baseline calculated by averaging five independent moving average types on every bar:
EMA — Exponential Moving Average for fast responsiveness
SMA — Simple Moving Average for stability and noise reduction
WMA — Weighted Moving Average for recent-price emphasis
ALMA — Arnaud Legoux Moving Average for Gaussian-smoothed precision
VWAP — Volume Weighted Average Price for institutional volume anchoring
The raw Fusion value is then split into two smoothed layers:
Fusion Slow — the primary trend baseline (heavier smoothing)
Fusion Fast — the responsive layer that reacts to momentum shifts first
When price is above Fusion Slow and the slope is rising → the trend is bullish (yellow-green theme)
When price is below Fusion Slow and the slope is falling → the trend is bearish (red theme)
When neither condition is met → the market is neutral (gray — no signals fire)
The space between Fusion Fast and Fusion Slow forms the Fusion Cloud — a gradient-shaded area that visually represents trend strength and direction at a glance.
Fusion Cloud expanding during a strong trend — wider cloud = stronger momentum
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📊 Three Signal Layers
AlphaX Vision produces three distinct types of signals, each with a specific role in the trade lifecycle:
1 ─ Trend Change Labels ( B U L L / B E A R )
Compact trend change labels marking the start of a new bullish or bearish phase
These are the primary directional signals . A " B U L L " label appears below the bar when the Fusion system detects a confirmed shift from bearish or neutral to bullish. A " B E A R " label appears above the bar for the opposite shift.
How the trend change is detected:
Price crosses above Fusion Slow while the Fusion Slow slope turns upward → Bullish
Price crosses below Fusion Slow while the Fusion Slow slope turns downward → Bearish
A cooldown timer prevents repeated labels during choppy transitions — configurable via Trend Label Cooldown
Once a trend label fires, it sets the directional context for all subsequent signals. During a BULL trend, only long entries and long exits are generated. During a BEAR trend, only short entries and short exits are generated. This eliminates counter-trend noise entirely.
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2 ─ Re-Entry Triangles (▲ / ▼)
Small re-entry triangles appearing after the initial trend label — opportunities to add or re-enter in the direction of the trend
After a trend is established by the Fusion label, the AlphaX Pro engine monitors for high-confidence re-entry opportunities within that trend. These appear as small triangles:
▲ Yellow-green triangle below bar — Re-entry long signal during a BULL trend
▼ Red triangle above bar — Re-entry short signal during a BEAR trend
Re-entry signals are generated by six independent trigger types, all running simultaneously:
Divergence Trigger — WPR divergence against price (price makes new low but WPR makes higher low, or vice versa)
Extreme Snap — Fast WPR recovers from deeply oversold/overbought territory while higher timeframe WPR confirms trend support
Exhaustion Recovery — Price shows exhaustion at a level while the broader trend remains intact
Trend Continuation — Fast WPR crosses back from a pullback zone while slow and turtle WPR confirm a strong ongoing trend
Pullback Entry — A moderate pullback within an established trend with sufficient velocity to confirm the bounce
Triple Alignment — All three WPR timeframes (fast, slow, turtle) reach extreme levels simultaneously and begin recovering together
Each trigger feeds into the Confidence Scoring System (explained below). Only signals that meet your minimum confidence threshold are displayed — weak or ambiguous setups are automatically filtered out.
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3 ─ Exit Markers (✕)
Gray X marks indicating where the Pro engine detects momentum exhaustion against the current trend — time to consider taking profit or tightening stops
Exit signals appear as small gray ✕ marks and fire only after at least one re-entry signal has occurred in the current trend. This prevents premature exit markers from appearing before you have even entered.
During a BULL trend — a sell-side signal from the Pro engine triggers an exit ✕ above the bar
During a BEAR trend — a buy-side signal from the Pro engine triggers an exit ✕ below the bar
Exit markers indicate that counter-trend momentum is building . They do not necessarily mean the trend is over — but they warn that the current move may be losing steam. Use them to:
Take partial or full profit
Tighten your stop loss
Pause new entries until the next re-entry triangle confirms continuation
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🧠 Multi-Confluence Confidence Scoring
Every re-entry and exit signal is scored by a real-time confidence engine that evaluates multiple independent factors and produces a score from 0 to 100. Only signals meeting your configured Min Pro Confidence % threshold are displayed.
The scoring factors include:
Trend Alignment (up to 25 points)
Turtle WPR (200-period) position — measures the macro trend direction
Higher scores when the long-term trend strongly supports the signal direction
Oversold/Overbought Depth (up to 20 points)
How deeply the Fast WPR penetrated into extreme territory before recovering
Deeper penetration = higher score = stronger spring-loaded reversal potential
Signal Type Quality (up to 20 points)
Triple Alignment and Trend Continuation score highest (18–20 points)
Divergence scores 17 points
Extreme Snap scores 14 points
Pullback scores 8 points
Multiple simultaneous triggers add a stacking bonus — 2 triggers = +8 points, 3+ triggers = +15 points
Velocity Quality (up to 15 points)
The speed at which Fast WPR is moving — "IDEAL" velocity scores 15, "STRONG" scores 10, "EXTREME" (too fast, likely to reverse) scores only 3
Velocity thresholds are session-adaptive — adjusted automatically based on whether the current session is London/NY overlap (highest volatility) or Asian session (lowest volatility)
Session Quality (up to 10 points)
London/NY overlap = 10 points (best liquidity and follow-through)
London session = 8.5 points
NY afternoon = 6 points
Asian session = 3 points (signals during Asia receive a penalty)
EMA Alignment (up to 5 points)
Price position relative to 200 EMA and 50/200 EMA cross — confirms structural trend
Penalty Deductions
Extreme velocity (likely spike/wick) — up to -10 points
RSI already at opposite extreme — up to -8 points
Asian session or NY close timing — up to -10 points
Low volume — -5 points
The default minimum confidence is set to 35% — optimized for XAUUSD 1-minute to filter noise while still capturing valid setups. Increase to 45–55% for even cleaner signals on higher timeframes, or reduce to 20–25% for more aggressive scalping.
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🛡 Trend Alignment Gate
An additional layer of protection called the Trend Alignment Gate prevents counter-trend signals from firing during strong established trends.
If Turtle WPR and Slow WPR both confirm a strong downtrend → buy signals are blocked unless the Fast WPR shows a confirmed recovery move from extreme oversold (recovery must exceed a minimum move threshold within a configurable lookback window)
If both confirm a strong uptrend → sell signals are blocked unless Fast WPR shows confirmed recovery from overbought
Strict Mode tightens the gate thresholds further for maximum noise reduction
This gate is enabled by default and is one of the key reasons AlphaX Vision produces significantly fewer false signals than typical oscillator-based systems.
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⚠ Identifying Choppy / Ranging Markets — When NOT to Trade
Choppy market condition — EMAs converging, Fusion Cloud collapsed, no clear trend labels. This is when you step aside.
Knowing when to stay out is just as important as knowing when to enter. AlphaX Vision gives you clear visual cues that the market is in a choppy, range-bound state:
How to identify choppy conditions:
Fusion Cloud disappears or becomes paper-thin — when Fusion Fast and Fusion Slow are nearly overlapping, the cloud collapses. No cloud = no trend = no edge.
EMAs converge and flatten — when the Fast EMA (yellow-green dots), Medium EMA (gray line), and Slow EMA (dark gray line) all cluster together and move sideways, the market has no directional bias.
Frequent color switches — if the Fusion system is rapidly alternating between bullish and bearish with labels appearing in quick succession, the trend cooldown filter is doing its job blocking most of them, but the underlying message is clear: no clean trend.
No re-entry triangles appearing — even after a trend label fires, if the Pro engine cannot find a single re-entry opportunity that meets the confidence threshold, the "trend" is likely a false start.
Cloud color is gray (neutral) — when neither bullish nor bearish conditions are met, the Fusion lines turn gray. This is the indicator explicitly telling you: this is a no-trade zone.
What to do during choppy markets:
Do not force entries — wait for the cloud to expand and a clean trend label to form
Look for the EMAs to fan out and separate — this confirms that a new directional move is developing
Wait for the first re-entry triangle after a trend label before committing capital — the triangle confirms the trend has real momentum behind it
Consider switching to a higher timeframe temporarily to find structure — if the 1-minute is chopping, the 5-minute or 15-minute may show a clear trend that the 1-minute will eventually follow
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📐 EMA System
Three Exponential Moving Averages are plotted as structural context:
Fast EMA (21) — yellow-green cross marks — the immediate momentum reference. When price holds above the Fast EMA, intrabar momentum favors longs.
Medium EMA (55) — gray line — the intermediate trend filter. Slope direction confirms trend momentum.
Slow EMA (200) — dark gray line, thicker — the structural backbone. The 200 EMA is used by the confidence scoring system and acts as the macro trend divider.
EMA Fan Analysis:
When all three EMAs are fanning outward in order (Fast > Medium > Slow for bullish, reverse for bearish) — the trend is healthy and re-entry signals carry higher confidence
When EMAs are converging — trend is weakening, expect chop or reversal
When EMAs are tangled and flat — range-bound market, stay out
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🚀 How to Trade with AlphaX Vision — Step by Step
Step 1 — Assess Market Condition
Check the Fusion Cloud: Is it expanded and colored, or collapsed and gray?
Check the EMAs: Are they fanned out or tangled?
If choppy → do not trade. Wait for structure.
Step 2 — Wait for a Trend Label
A " B U L L " or " B E A R " label sets your directional bias
Do not enter on the label itself — it confirms the trend, but the optimal entry comes next
SCREENSHOT_7_TRADE_FLOW
Complete trade flow: Trend label → Re-entry triangle → Price move → Exit marker
Step 3 — Enter on Re-Entry Triangle
The first ▲ or ▼ triangle after a trend label is your primary entry signal
This is a confirmed, confidence-scored setup aligned with the macro trend
Place your stop loss beyond the recent swing high/low or below/above the Fusion Slow line
Step 4 — Manage with Subsequent Triangles
Additional re-entry triangles during the same trend are opportunities to add to your position or re-enter after a partial take-profit
Each triangle has passed the same confidence filters as the first
Step 5 — Exit on ✕ Mark
When a gray ✕ appears, the Pro engine has detected counter-trend momentum
Take partial or full profit
If the trend is still active (no opposing trend label), wait for the next re-entry triangle to confirm continuation before re-entering
Step 6 — Trend Ends
When an opposing trend label appears (e.g., " B E A R " after you were in a BULL trend), the trend has reversed
Close any remaining position from the prior trend
The new label resets the cycle — wait for re-entry triangles in the new direction
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⚡ Key Features
🔬 Proprietary Fusion MA engine blending EMA + SMA + WMA + ALMA + VWAP into one adaptive baseline
☁ Gradient trend cloud with 5-layer depth shading — instant visual trend strength
🏷 Clean, compact trend labels with spaced lettering — professional and non-intrusive
▲▼ Confidence-scored re-entry triangles — only high-quality setups pass the filter
✕ Smart exit markers — fire only after entry, detect counter-trend momentum buildup
🧠 Multi-factor confidence scoring — trend, depth, velocity, session, volume, EMA alignment, signal stacking
⏱ Session-adaptive velocity thresholds — automatically adjusts for London, NY, Asia, and overlap sessions
🛡 Trend Alignment Gate with Strict Mode — blocks counter-trend noise during strong moves
📐 Three EMAs (21 / 55 / 200) for structural context and fan analysis
🎨 Cohesive dual-tone color theme — yellow-green for bullish, red for bearish, gray for neutral/exits
🔔 6 alert conditions — trend changes, entries, and exits with clean message formatting
⚙ Fully configurable — all periods, thresholds, colors, and filters are adjustable from the settings panel
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⚙ Settings Reference
Fusion System
Fusion MA Length — base period for all five moving averages (default: 40)
Fusion Slow Sensitivity — smoothing period for the slow trend line (default: 12)
Fusion Fast Sensitivity — smoothing period for the fast momentum line (default: 5)
Show Trend Cloud — toggle the gradient cloud fill between Fusion Fast and Fusion Slow
EMA Settings
Fast / Medium / Slow EMA — independently toggle visibility and set periods
Defaults optimized for XAUUSD 1-minute: 21 / 55 / 200
AlphaX Pro Settings
Fast WPR Period (default: 11) — the primary oscillator for signal generation
Slow WPR Period (default: 48) — intermediate trend confirmation
Turtle WPR Period (default: 180) — macro trend direction
Oversold / Overbought Levels — thresholds for WPR cross triggers (default: -90 / -10)
Trend Detection Period — lookback for slope calculation (default: 25)
Min Pro Confidence % — minimum score a signal must achieve to be displayed (default: 35%)
Trend Alignment Gate — enable/disable counter-trend blocking
Strict Mode — tighten gate thresholds for maximum noise reduction
Recovery Requirements — minimum WPR recovery move and lookback for counter-trend signal validation
Trend Filters
Trend Label Cooldown — minimum bars between consecutive trend labels (default: 25)
Theme Colors
Bull Primary / Bright / Dim — the yellow-green family for all bullish elements
Bear Primary / Bright / Dim — the red family for all bearish elements
Neutral color — gray for exits, inactive states, and choppy conditions
Individual EMA colors — Fast (yellow-green), Medium (gray), Slow (dark gray)
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🔔 Alert Conditions
Fusion → Bull Trend — fires when a new BULL trend label appears
Fusion → Bear Trend — fires when a new BEAR trend label appears
Re-Entry Long — fires on each bullish re-entry triangle
Re-Entry Short — fires on each bearish re-entry triangle
Exit Long — fires when a long exit ✕ appears
Exit Short — fires when a short exit ✕ appears
All alert messages include {{ticker}} and {{interval}} placeholders for clean webhook integration.
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🎯 Default Settings — Optimized For
The default configuration is specifically tuned for XAUUSD (Gold) on the 1-minute timeframe :
Confidence threshold at 35% filters out low-quality signals while keeping valid scalping setups
Strict Trend Gate enabled to block counter-trend noise during strong gold moves
Cooldown at 25 bars prevents label spam during volatile transitions
WPR periods (11 / 48 / 180) calibrated for gold's intraday volatility profile
Session-adaptive velocity ensures signals respect the different volatility regimes across Asia, London, and NY
For other instruments or timeframes, adjust:
Higher timeframes (5m, 15m) — increase Fusion Length to 50–60, increase confidence to 40–50%
Forex majors — reduce Fusion Length to 30–35, keep confidence at 30–35%
Indices (NAS100, US30) — use defaults or increase Turtle WPR to 200 for broader trend context
Less noise — increase Min Confidence %, enable Strict Mode, increase Cooldown
More signals — decrease Min Confidence %, disable Strict Mode, decrease Cooldown
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👥 Who This Is For
🥇 Gold (XAUUSD) scalpers and intraday traders — built and tuned specifically for gold's volatility and session structure
📉 Forex traders — works on all major and minor pairs with minor setting adjustments
📊 Index traders — applicable to US30, NAS100, SPX500, DAX, and others
🧠 Systematic traders — the confidence scoring system provides a quantitative framework, not just visual signals
📈 Traders who value clean charts — no indicator soup, no overlapping signals, no clutter. One cohesive system with a consistent color theme
⚠ Traders who struggle with overtrading — the choppy market detection and confidence filters physically prevent low-quality signals from appearing
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📝 Notes
Session-adaptive features use UTC/GMT time — the indicator automatically detects whether the current bar falls within Asia, London, NY overlap, NY afternoon, or NY close windows
Designed primarily for intraday timeframes — M1 through H1. On daily or weekly charts the session-adaptive features are less meaningful but the Fusion trend system still functions
The Fusion engine uses ta.vwap which resets on each new session — this is by design, as it anchors the Fusion baseline to institutional volume flow within the current session
All calculations are non-repainting — signals are confirmed on bar close
Maximum 500 labels and 500 bars lookback are used — on very low timeframes with extended chart history, oldest labels may be automatically removed by TradingView's rendering limits
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⚠ Disclaimer
This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator.
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Built for traders who demand clarity, confidence, and precision from their charts. インジケーター
[ A L P H A X ] Range Profile ProAlphaX Range Profile Pro — Volume Profile, POC, Value Area, Delta & HVN Levels
Stop guessing where price wants to go. AlphaX Range Profile Pro builds a full volume profile over any custom bar range, automatically locating the Point of Control, Value Area High, Value Area Low, and High Volume Nodes — so you always know exactly where the market has accepted the most volume and where it is likely to react next. Built for Gold, Forex, Crypto, Indices, and Futures traders on any timeframe.
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🔍 What This Indicator Does
Volume profile is the single most powerful tool for understanding where institutional money has been most active. AlphaX Range Profile Pro scans every candle inside your selected range, distributes volume across price bins using a body-and-wick weighted algorithm, and renders a clean horizontal volume profile directly on your chart — complete with POC, Value Area, and optional HVN lines. Every level updates in real time as new bars form.
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⚡ Key Features
📊 Body & Wick Weighted Volume Distribution
Most volume profile tools split volume equally across the full candle range. AlphaX Range Profile Pro uses a precise body-and-wick weighting model — up volume is assigned to bullish body segments, down volume to bearish body segments, and wick volume is split proportionally. The result is a significantly more accurate representation of where buying and selling pressure actually occurred at each price level.
🎯 Point of Control (POC)
The POC line marks the single price level with the highest traded volume in the entire range — the most accepted price by the market. It acts as a magnet for price and is one of the most reliable reaction levels in any profile. The POC is displayed as a solid line with a clearly labelled price tag and volume percentage.
📦 Value Area (VAH & VAL)
The Value Area represents the price range containing a configurable percentage of total volume (default 70%). VAH and VAL are plotted as dashed lines with labels. The Value Area fill box shades the region across your chart for instant visual reference. Price trading inside the Value Area indicates acceptance. Price outside the Value Area indicates potential for a return or a breakout continuation.
🔵🟠 Up / Down Split Display
Each profile row is rendered in two segments — blue for buy-side volume and orange for sell-side volume — showing the delta composition of every price level at a glance. Three display modes are available: Up/Down Split, Total Only, and Delta Only, so you can view the profile in whichever format suits your analysis style.
📍 High Volume Nodes (HVN)
Optional HVN lines mark the top secondary volume levels outside the POC. These are the next most traded price clusters in the range and often act as strong support, resistance, and target levels. The number of HVN lines displayed is fully configurable.
📐 Flexible Range Selection
Choose between Fixed Bars mode to profile the last N candles, or From Date/Time mode to anchor the profile to a specific session or event start. Profile width, placement, and X offset are all adjustable so the profile sits exactly where you need it on your chart.
🖥 Professional Dark Panel Design
The profile renders inside a clean dark glass panel with an accent edge, subtle backdrop, and optional highlight — keeping the profile readable without cluttering your price action. All colors are individually customisable including up volume, down volume, value area fill, panel tint, border, and accent.
📋 Stats Table
A compact on-chart stats table displays all key metrics in one place: range bar count, POC price and volume percentage, VAH and VAL, total up and down volume, and net delta. Table position is configurable to any corner of the chart.
🔔 4 Built-In Alert Conditions — Webhook Ready
Cross Above POC — price closes above the Point of Control
Cross Below POC — price closes below the Point of Control
Cross Above VAH — price closes above the Value Area High
Cross Below VAL — price closes below the Value Area Low
All alerts fire on confirmed bar close. Connect to Telegram, 3Commas, Alertatron, n8n, or any webhook automation service.
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⚙ Settings Reference
Range
Range Mode — Fixed Bars or From Date/Time anchor
Number of Bars — how many bars back to profile (default 150)
Anchor Time — start timestamp for Date/Time mode
Max Lookback — maximum bars scanned in anchor mode
Profile
Row Size (bins) — number of horizontal price bins (default 24). Higher = more granular profile
Value Area Volume % — percentage of volume defining the Value Area (default 70%)
Display Mode — Up/Down Split, Total Only, or Delta Only
Profile Width — horizontal width of the profile in bars
Placement — Left inside chart or Right (future bars)
X Offset — fine-tune horizontal position
Levels
Shade Value Area — fills the VAH–VAL range across the chart
Show POC — toggle POC line
Show VAH / VAL — toggle Value Area lines
Show Range High / Low — toggle outer range boundary lines
Extend Lines — extend levels to the right or keep contained
Show Level Labels — toggle price labels on all levels
Show HVN Lines — toggle High Volume Node lines
HVN Count — number of HVN lines to display (1–5)
Style
Full color controls for POC, VAH, VAL, up volume, down volume, value area fill, panel background, border, accent edge, labels, and highlight tint
Line width controls for POC, VAH/VAL, HVN, and panel border
Row gap — spacing between profile bins
Stats
Stats Table — toggle the on-chart statistics panel
Table Position — Top Right, Top Left, Bottom Right, or Bottom Left
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🚀 How to Use
Add AlphaX Range Profile Pro to any chart — default settings work well across most markets
Set your Range Mode — use Fixed Bars for a rolling profile or anchor to a specific session open
Focus on the POC first — it is the highest conviction level in the entire profile
Use VAH and VAL as your Value Area boundaries — look for rejections at VAH in downtrends and VAL in uptrends
Watch for price to leave and return to the Value Area — these are high-probability mean reversion setups
Enable HVN lines to identify secondary reaction levels within the range
Set alerts on POC and VAH/VAL crosses for automated entry triggers
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👥 Who This Is For
🥇 Gold (XAUUSD) traders — volume profile is essential for reading institutional order flow in XAU
📈 ICT and Smart Money traders — use POC and Value Area to identify premium, discount, and equilibrium zones
📊 Volume profile traders — a clean, accurate, customisable profile built natively in Pine Script v6
📉 Forex and Index traders — works on all major pairs, US30, NAS100, SPX500, and more
🌍 Crypto traders — ideal for BTC, ETH, and high-volume altcoin analysis
🤖 Algo and bot traders — webhook-ready alerts on all key level crosses
📐 All timeframes — from M1 intraday scalping to Daily and Weekly swing analysis
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📝 Notes
Works on all asset classes — Gold, Forex, Crypto, Futures, Indices, Stocks
Profile recalculates fully on every bar close — always current
No repainting — all levels are based on confirmed historical volume data
Pine Script v6 — built for performance and forward compatibility
All visual elements are individually toggleable
Recommended timeframes: M5, M15, M30, H1, H4, Daily
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Built for traders who trade with the market, not against it. インジケーター
Velocity Acceleration Momentum [VAM]Velocity Acceleration Momentum
Overview
VAM is a multi-layered momentum indicator that measures how fast price is moving (Velocity), whether that speed is increasing or decreasing (Acceleration), and how strong the underlying trend is (ADX). Rather than just telling you the direction of price, VAM tells you the quality and phase of the move you're in.
How It's Calculated
Velocity measures the percentage rate of change of price over a lookback period (default: 14 bars), then smooths it with a 3-period EMA. It answers: "How fast is price moving relative to where it was?"
Acceleration is the change in Velocity over a secondary smoothing window (default: 5 bars), also EMA-smoothed. It answers: "Is momentum speeding up or slowing down?"
Signal Line is an EMA of Velocity (default: 9 bars) — similar in concept to the MACD signal line. When Velocity crosses above/below the Signal Line, it can indicate momentum shifts.
ADX Histogram uses Pine's built-in DMI/ADX calculation. When DI+ > DI−, bars plot positively (green); when DI− > DI+, bars plot negatively (red). The color opacity is gradient-mapped to ADX strength — vivid bars mean a strong trend, faded bars mean a weak/ranging market.
Reading the Velocity Line Colors (Regime Detection)
The Velocity line changes color based on the combination of Velocity and Acceleration:
ColorConditionMeaning🟢 LimeVelocity > 0, Acceleration > 0Rocket — momentum is up and accelerating🟡 YellowVelocity > 0, Acceleration < 0Topping — still positive but losing steam🔴 RedVelocity < 0, Acceleration < 0Freefall — momentum is down and worsening🟠 OrangeVelocity < 0, Acceleration > 0Bottoming — still negative but recovering
How to Trade With It
High level Buy when Velocity Line Green 🟢sell when Velocity drops hard and is Red 🔴
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ADX BARS TELL YOU THE TREND AND THE TREND STRENTH (COMBINE THIS AND THE VELOCITY LINE)
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ACCELERATION PUROPLE AND YELLOW WAVE TELLS YOU SHARP DROPS OR ADVANCES IN ACCELERATION
Trend Entries: Look for the Velocity line turning Lime (🟢) with the ADX histogram printing vivid green bars above the +25 line. This is the highest-confidence long setup — price is accelerating upward with confirmed trend strength.
Caution / Exit Signals: When Velocity turns Yellow (🟡) and sharply drops, momentum is fading even if price is still rising. Consider tightening stops or taking partial profits.
Short / Bearish Bias🔴 : Red Velocity + vivid red ADX bars below −25 signal a strong downtrend in Freefall. Avoid longs; look for short setups.
Potential Reversals: Orange Velocity (Bottoming) combined with ADX bars beginning to fade and shift green can be an early signal that a bottom is forming — useful for scaling into longs cautiously.
Signal Line Crosses: When the Velocity line crosses above the white Signal Line, momentum is picking up. Crosses below suggest weakening. Best used as a confirmation filter, not a standalone trigger.
The ±25 Reference Lines mark the ADX threshold commonly used to separate trending (above) from ranging (below) markets. ADX histogram bars inside the ±25 zone suggest low trend conviction — reduce position sizing or wait for confirmation.
Inputs
Source — Price input (default: Close)
Velocity Length — Lookback period for rate-of-change calculation (default: 14)
Acceleration Smooth — Smoothing window for acceleration (default: 5)
Signal Line Length — EMA period for the signal line (default: 9)
ADX Length — Period for DMI/ADX calculation (default: 14)
Show Signal Line — Toggle the white signal line on/off
Show Zone Backgrounds — Toggle ADX-strength background shading
Show ADX Histogram — Toggle the ADX directional histogram インジケーター
Adaptive Momentum Fusion [WillyAlgoTrader]📡 Adaptive Momentum Fusion is a separate-pane oscillator that replaces the fixed EMAs inside a standard MACD with selectable adaptive moving averages — six different adaptation engines that each respond to a different market dimension (efficiency, volatility, fractal structure, momentum, volume, or a weighted composite of all five). The oscillator line and signal line are then processed through Jurik-style smoothing to reduce jitter without adding lag. The result is a MACD-like oscillator where the core moving averages automatically adjust their speed to current market conditions, producing cleaner crossovers, more meaningful histogram readings, and built-in divergence detection.
A standard MACD uses fixed-length EMAs (typically 12/26/9). This means the same smoothing is applied whether the market is trending strongly, ranging sideways, experiencing a volatility spike, or consolidating. The result: late crossovers in trends, whipsaws in ranges, and false divergences during choppy periods.
This indicator solves the problem at the source — the moving averages themselves. Instead of fixed EMAs, each adaptation engine dynamically adjusts the smoothing constant (alpha) on every bar based on a real-time market measurement. In a strong trend, the Efficiency engine detects high directional efficiency and increases alpha → faster MA → earlier crossover. In a range, efficiency drops and alpha decreases → slower MA → fewer whipsaws. Each engine uses a different measurement to achieve this adaptation, and the user selects which dimension matters most for their market.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A MACD with adaptive MAs alone would still produce a noisy signal line (the EMA of the oscillator). Adding adaptation to the base MAs but keeping a fixed EMA for the signal line creates a mismatch: the oscillator adapts but the signal doesn't, causing crossover lag to reappear at the signal level.
This indicator addresses the full signal chain:
Adaptive fast MA → Adaptive slow MA → Oscillator (MACD or PPO) → Jurik-smoothed signal line → 4-state histogram → Divergence scanner
The adaptive MAs eliminate the fixed-speed problem at the source. The MACD/PPO dual mode lets you choose between absolute (price-scaled) and percentage (normalized) output. The Jurik smoother replaces the standard signal EMA with a 3-stage filter that reduces jitter while preserving crossover timing — critical because adaptive oscillators produce more variable readings than fixed ones. The 4-state histogram (accelerating/decelerating × bullish/bearish) quantifies momentum acceleration, not just direction. And the divergence scanner works on the adaptive oscillator itself, which produces more reliable pivots than a fixed MACD because the adaptive MAs have already filtered out noise-driven fluctuations.
Removing the adaptive engines returns you to a standard MACD. Removing the Jurik smoother reintroduces signal line jitter that the adaptive engines amplify. Removing the histogram states loses momentum acceleration information. The full pipeline produces cleaner signals than any subset.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Six selectable adaptation engines.
Each engine computes a dynamic smoothing constant (alpha) that controls how fast the moving average reacts. All engines feed into the same adaptive EMA core: result = alpha × source + (1 − alpha) × result . The difference is how alpha is calculated:
Efficiency (Kaufman AMA):
Computes the Efficiency Ratio: ER = |price − price | / sum(|price − price |, N). ER ranges from 0 (pure chop — price moves a lot bar-to-bar but goes nowhere net) to 1 (pure trend — every bar moves in the same direction). The smoothing constant: sc = (ER × (fastSc − slowSc) + slowSc)², where fastSc = 2/3, slowSc = 2/31. This is the classic Kaufman Adaptive Moving Average approach. Best all-around engine.
Volatility (ATR-based):
Computes volRatio = ATR(len) / SMA(ATR, len×2). When current volatility exceeds its average (ratio > 1), alpha increases → MA speeds up to track the expanding price action. When volatility contracts (ratio < 1), alpha decreases → MA slows down to avoid noise. Alpha = baseAlpha × volRatio, clamped to . Best for instruments with distinct volatility regimes (crypto, commodities).
Fractal (Hurst-inspired):
Estimates the fractal dimension of the price series using rescaled range analysis: the full-range is compared to the sum of two half-ranges. fracDim = 1 + log(sumHalf) / log(2 × rangeFull). A fractal dimension near 1.0 indicates trending behavior (smooth), near 2.0 indicates mean-reverting (rough). Alpha = exp(−4.6 × (fracDim − 1)), which maps: fracDim ≈ 1.0 → alpha ≈ 1.0 (fast, trending), fracDim ≈ 2.0 → alpha ≈ 0.01 (slow, ranging). Best for detecting regime changes between trending and mean-reverting markets.
Momentum (ROC-based):
Computes the Rate of Change normalized against its recent maximum: norm = |ROC| / highest(|ROC|, len×2). When momentum is strong relative to recent history, alpha increases. Alpha = baseAlpha + norm × (1 − baseAlpha) × 0.5. This makes the MA react faster during breakouts and momentum surges while staying smooth during low-momentum drift. Best for breakout-oriented strategies.
Volume:
Computes volRatio = volume / SMA(volume, len). When volume exceeds its average (institutional participation), the MA speeds up. Alpha = baseAlpha × √(volRatio). The square root prevents extreme volume spikes from making the MA too reactive. Auto-disabled on instruments without volume data (forex) — falls back to baseAlpha. Best for stocks and crypto where volume confirms moves.
Composite (weighted blend):
Runs all five engines simultaneously and blends the results: with volume = 30% Efficiency + 20% Volatility + 20% Fractal + 15% Momentum + 15% Volume. Without volume = 35% Efficiency + 25% Volatility + 25% Fractal + 15% Momentum. This produces the most robust adaptation but is slightly slower because it averages five different smoothing perspectives. Best for users who don't want to choose a single engine.
2️⃣ Jurik-style signal line smoothing.
The standard MACD signal line is a simple EMA of the oscillator. This indicator replaces it with a 3-stage Jurik-inspired filter:
beta = 0.45 × (len − 1) / (0.45 × (len − 1) + 2)
alphaJ = beta³
e0 = (1 − alphaJ) × source + alphaJ × e0
e1 = (source − e0) × (1 − beta) + beta × e1
e2 = (e0 + phase × e1 − e2 ) × (1 − alphaJ)² + alphaJ² × e2
The three stages progressively remove jitter while maintaining phase alignment. The phase parameter (Jitter Reduction, default 0.7) controls how much additional smoothing is applied: 0.0 = minimal smoothing (fast but noisy), 1.0 = maximum smoothing (smooth but slightly more lag). This is particularly important for adaptive oscillators because the variable-speed MAs produce a more erratic oscillator line than fixed EMAs — the Jurik filter absorbs this variability at the signal level.
3️⃣ MACD/PPO dual output mode.
— MACD mode : oscillator = fastMA − slowMA (absolute difference, price-scaled). Readings scale with instrument price — useful for single-instrument analysis.
— PPO mode : oscillator = (fastMA − slowMA) / slowMA × 100 (percentage difference, normalized). Readings are comparable across instruments and time — useful for scanning, multi-market analysis, or consistent threshold settings.
4️⃣ 4-state momentum histogram.
The histogram (oscillator − signal) is classified into four states based on value and direction of change:
— 🟢 Accelerating bullish : histogram > 0 AND rising (momentum strengthening)
— 🟢 Decelerating bullish : histogram > 0 AND falling (momentum fading, potential reversal ahead)
— 🔴 Accelerating bearish : histogram < 0 AND falling (selling pressure increasing)
— 🔴 Decelerating bearish : histogram < 0 AND rising (selling pressure easing, potential bounce)
Each state has a distinct color intensity: accelerating = fully saturated, decelerating = faded. This provides immediate visual recognition of whether momentum is building or exhausting — the most actionable information from a histogram.
5️⃣ Divergence detection with adaptive oscillator.
The indicator scans for regular divergences between price and the adaptive oscillator:
— Regular Bullish Divergence : price makes a lower low, but the oscillator makes a higher low → selling pressure is weakening despite lower prices → potential reversal up
— Regular Bearish Divergence : price makes a higher high, but the oscillator makes a lower high → buying pressure is weakening despite higher prices → potential reversal down
Pivots are detected using a custom function with configurable lookback (default 30 bars) and a fixed right-bar confirmation of 5 bars. Divergences are labeled on the oscillator pane and optionally drawn as connecting lines. The divergence state persists in the dashboard for 20 bars after detection, then decays.
Divergences detected on the adaptive oscillator are more reliable than on a standard MACD because the adaptive MAs have already filtered regime-inappropriate noise — the pivots in the oscillator correspond to genuine momentum shifts, not noise-driven wiggles.
6️⃣ Zero-line cross signals.
When enabled, the indicator marks when the oscillator crosses the zero line — which corresponds to the fast adaptive MA crossing the slow adaptive MA. In MACD terms, this is the equivalent of the "MACD crossing zero." Because the MAs are adaptive, these crossovers occur at more structurally meaningful points than with fixed EMAs.
7️⃣ Signal strength scoring (0–100).
Each bar's histogram absolute value is normalized against its recent maximum over 50 bars: strength = |histogram| / highest(|histogram|, 50) × 100. This provides a relative measure: 100 = histogram is at its strongest in the last 50 bars, 0 = no momentum. Classified as Strong (≥ 70), Medium (≥ 40), Weak (< 40). Displayed in the dashboard.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Engine selection: The selected adaptation engine computes a dynamic alpha value on each bar based on its specific market measurement (efficiency ratio, ATR ratio, fractal dimension, ROC normalization, volume ratio, or composite blend).
Step 2 — Adaptive MA calculation: The fast MA and slow MA are each computed using the adaptive EMA formula: result = alpha × source + (1 − alpha) × result . The same engine is used for both, with different length parameters (fast = default 8, slow = default 21).
Step 3 — Oscillator: MACD mode: osc = fastMA − slowMA. PPO mode: osc = (fastMA − slowMA) / slowMA × 100.
Step 4 — Signal line: The oscillator is passed through the Jurik 3-stage filter with the configured signal length (default 7) and jitter reduction factor (default 0.7).
Step 5 — Histogram: hist = oscillator − signal. Classified into 4 states (accelerating/decelerating × bullish/bearish) based on sign and direction of change.
Step 6 — Divergence scan: Custom pivot detection identifies local highs and lows in both the oscillator and price. When a new pivot is found, it's compared to the previous pivot to check for divergence conditions (price lower low + osc higher low, or price higher high + osc lower high).
Step 7 — Signals: Crossovers (oscillator crossing signal line) and zero-line crosses are detected. All signals require barstate.isconfirmed + warmup check.
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator — the adaptive oscillator appears in a separate pane
2. Select an adaptation engine matching your market (Efficiency for general use)
3. Green line above red = bullish momentum, below = bearish
4. Histogram bars show momentum acceleration (bright) vs deceleration (faded)
5. Divergence labels mark potential reversals
👁️ Reading the pane:
— 🟢 Green oscillator line above signal line = bullish momentum
— 🔴 Red oscillator line below signal line = bearish momentum
— 🟢 Bright green histogram = accelerating bullish momentum
— 🟢 Faded green histogram = decelerating bullish (momentum fading)
— 🔴 Bright red histogram = accelerating bearish momentum
— 🔴 Faded red histogram = decelerating bearish (selling easing)
— ▲ label = buy crossover signal (oscillator crosses above signal)
— ▼ label = sell crossover signal
— ● dot on zero line = zero-line cross
— "Bull Div" / "Bear Div" labels = detected divergences
🔧 Engine selection guide:
— Efficiency : best default for most markets — adapts to trending vs ranging
— Volatility : best for instruments with clear vol regimes (crypto, commodities)
— Fractal : best for detecting regime shifts (trending ↔ mean-reverting)
— Momentum : best for breakout strategies — speeds up on strong moves
— Volume : best for stocks/crypto where volume confirms participation
— Composite : most robust — blends all dimensions, good when unsure
🔧 Tuning guide:
— Too many whipsaws: increase Slow Length, increase Signal Length, increase Jitter Reduction
— Signals too late: decrease Fast/Slow Length, decrease Signal Length, decrease Jitter Reduction
— Histogram too noisy: increase Jitter Reduction toward 0.8–1.0
— Divergences too frequent: increase Divergence Lookback (40–60)
— Cross-market comparison: switch to PPO mode for normalized output
⚙️ KEY SETTINGS REFERENCE
⚙️ Main:
— Adaptation Engine (default Efficiency): Efficiency / Volatility / Fractal / Momentum / Volume / Composite
— Fast Length (default 8): fast adaptive MA period
— Slow Length (default 21): slow adaptive MA period
— Signal Length (default 7): Jurik signal smoothing period
— Output Mode (default MACD): MACD (absolute) or PPO (percentage)
🔍 Filters:
— Detect Divergences (default On): scan for regular divergences
— Divergence Lookback (default 30): pivot search depth
— Zero Line Cross Signals (default On): mark zero crossings
🔧 Advanced:
— Jitter Reduction (default 0.7): Jurik phase parameter (0.0–1.0)
— Auto / Dark / Light theme
📊 Dashboard
— Trend: oscillator vs signal line direction (Bullish / Bearish / Neutral)
— Signal: last crossover (BUY / SELL / Wait)
— Strength: histogram normalized to 50-bar max (Strong / Medium / Weak with %)
— Momentum: 4-state acceleration (Accel ▲ / Decel ▽ / Accel ▼ / Decel △)
— Divergence: current divergence state (Bull Div / Bear Div / None)
— Engine / TF: selected engine and timeframe
— Version
🔔 Alerts
— 🟢 BUY / 🔴 SELL — oscillator-signal crossover (ticker, price, timeframe, engine)
— 🟡 ZERO BULL CROSS / ZERO BEAR CROSS — zero-line crossing
— 🔵 BULL DIVERGENCE / BEAR DIVERGENCE — detected divergence
All support plain text and JSON webhook format. Bar-close confirmed.
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals and divergences require barstate.isconfirmed. A warmup period (2× slow length, minimum 50 bars) prevents signals during insufficient data. The adaptive MAs are deterministic — once a bar closes, the MA value for that bar never changes.
— 📐 This is a separate-pane oscillator, not an overlay. It displays in its own pane below the chart. The oscillator values are momentum readings, not price levels. Use it alongside your chart for confluence, not as a standalone trading system.
— ⚖️ The six engines produce different signals on the same data . Efficiency and Composite tend to produce the most similar results. Fractal can diverge significantly during regime transitions. Volume engine auto-falls back to base alpha on instruments without volume data.
— 📊 Signal strength is relative to recent 50 bars , not absolute. A "Strong" reading during a low-volatility week may be weaker in absolute terms than a "Weak" reading during a high-volatility week.
— 🔄 Divergences use a 5-bar right confirmation — they appear 5 bars after the actual pivot. This delay is inherent to pivot detection and cannot be eliminated without introducing false positives.
— 📏 PPO mode normalizes the output as a percentage, making threshold settings (e.g., "divergence when oscillator > 2") comparable across instruments. MACD mode values scale with price — a reading of 5.0 on a $100 stock is different from 5.0 on a $50,000 BTC chart.
— 🛠️ This is a momentum analysis tool , not an automated trading bot. It measures and visualizes adaptive momentum — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Volume engine auto-adapts to available data. インジケーター
MACD Advanced: Trend-Weighted MomentumMACD Advanced Overview
MACD Advanced is a refined version of the classic Moving Average Convergence Divergence. While the standard MACD identifies changes in momentum, it often produces false signals in ranging markets or against a strong higher-timeframe trend. This script addresses that by "tilting" the MACD calculation based on the slope of a Higher Timeframe (HTF) Moving Average.
How it Works
The script integrates a Trend Bias Factor derived from the rate of change of a long-period EMA (default 200) from a user-defined timeframe.
The Math: It calculates the ratio between the current HTF EMA and its value $n$ bars ago. This ratio is then used to offset the MACD line.
Bullish Bias: If the HTF EMA is sloping upward, the MACD is shifted higher, making bearish crossovers harder to trigger and bullish ones more sensitive.
Bearish Bias: If the HTF EMA is sloping downward, the MACD is dragged lower, prioritizing short-side momentum.
Key Features
MTF Integration: Analyze the daily trend while trading on the 5m or 15m chart.
Dynamic Histogram: The visual fill between the MACD and its momentum provides a clear look at when momentum is accelerating or exhausting relative to the trend.
Customizable Sensitivity: Adjust the lookback period for the trend slope to match your specific asset’s volatility.
How to Trade
Trend Confirmation: Look for the MACD line (the columns) to cross the zero line. This indicates that both short-term momentum and long-term trend are in alignment.
Momentum Exhaustion: When the inner histogram (the fill) begins to shrink back toward the MACD columns, it suggests a potential pull-back or profit-taking zone.
Divergences: Look for price making a new high while the MACD Advanced makes a lower high; the trend-weighting makes these divergences more prominent during trend exhaustion.
Technical Approach
Normalization of MTF Data: The script uses request.security with barmerge.gaps_off to ensure that higher timeframe data is mapped correctly to the current chart bars without creating visual "steps" or "staircases."
The Delta Calculation: Instead of a simple boolean filter,
we calculate a relative value r = EMA_ current/EMA_ lookback
By adding r - 1 to the standard MACD calculation, we create a non-linear offset. This means the more aggressive the trend, the more the MACD is displaced.
Visual Architecture: The script uses two plot outputs (g1 and g2) and a fill() function. This creates a "ribbon" effect that is more intuitive than the standard "centered" histogram, as it shows momentum relative to the trend-weighted line rather than a static zero axis.
Since this version of the MACD is "weighted" by a higher-timeframe trend, it changes how you read common signals. On a standard chart, the MACD just shows momentum; here, it shows momentum relative to the "big picture" slope.
Here is how to effectively use the MACD Advanced on a live chart:
1. Finding the "Trend-Momentum" Alignment
The most powerful signal from this indicator occurs when the Trend Factor and the Momentum Histogram both agree.
The Bullish Setup: Look for the MACD columns (the "base") to be above the zero line, while the inner fill (the "histogram") is bright green.
Interpretation: The Daily trend is up, and the intraday momentum is also accelerating.The
Bearish Setup: Look for the MACD columns to be below the zero line, while the inner fill is bright red.
Interpretation: The Daily trend is down, and intraday selling pressure is increasing.
2. Reading the "Hidden" Divergence
Because we’ve added a trend offset r-1, this indicator identifies "Trend Exhaustion" better than a standard MACD.
Standard Divergence: Price makes a higher high, but MACD makes a lower high.
Advanced Divergence: If the price makes a higher high, but the MACD Advanced is flat or lower, it means the Higher Timeframe EMA is losing its slope. Even if the price looks strong, the "Big Picture" is flattening out. This is often a precursor to a major reversal.
3. The "Snap-Back" Trade (Mean Reversion)
Since you are using a 200 EMA as the trend filter, the indicator will naturally pull back toward zero when the price gets too far from that average.
The Signal: If the MACD Advanced is "overextended" (very high or very low relative to its recent history) and the inner histogram crosses back toward the zero line, it’s a sign that the price is likely to "snap back" to the mean.
Application: This is great for exiting a trend trade before the actual trend reversal happens.
Pro Tip: The "Zero-Cross" Filter
In a strong uptrend (Daily EMA 200 is rising), the MACD Advanced will rarely cross below zero. If you see the histogram dip into the red while the MACD columns stay green/above zero, treat that as a "Buy the Dip" opportunity rather than a "Sell" signal.
The Chart shows regular MACD vs ADVANCED MACD one can easily observe the difference between them and the trend is identified easily. インジケーター
Volatility Regime Switch [Metrify]VRS is a regime classifier that tries to separate two things most indicators mix together: direction and tradability. It doesn’t just ask "is price above/below a line?". it estimates whether the market is currently behaving more like a trend regime or a noise/chop regime, then adapts its switching logic and trailing structure accordingly. The output is a state machine (bull/bear) with a volatility-normalized corridor, plus explicit markers for switch accepted vs switch rejected.
Core idea: switching should depend on regime
Most trend flip tools fail in choppy markets because they apply the same confirmation rules everywhere. VRS tries to avoid that by measuring a continuous regime score:
trreg ≈ how “trend-like” conditions are
nsreg ≈ how “noise-like” conditions are
That regime estimate is then used to:
shape the trailing band distance (wider in chop, tighter in trend),
change the required confirmation for a switch (more strict in noise), and
demand follow-through after a candidate switch (acceptance check).
Regime estimation: how it decides “trend-like” vs “noise-like”
The regime score is built from three normalized features, then blended using inverse-variance weighting again:
Efficiency ratio (ER): Measures directional efficiency: net displacement over a horizon vs total movement. Trends have higher efficiency; chop has lower.
ADX-like trend strength: A custom ADX calculation is normalized (adxn), giving a bounded “trend strength” component.
Volatility ratio (fast/slow): Compares fast ATR to slow ATR and normalizes it. This helps distinguish active expansion vs quieter conditions.
These three components are combined into trreg (0..1). Noise regime is nsreg = 1 - trreg.
The important part is it can behave differently when the market is structurally trending versus when it is structurally noisy.
The anchor + adaptive bands: how the corridor is built
VRS uses two EMAs:
a fast EMA (emaf)
a slower EMA (emas)
It then creates an anchor that interpolates between them based on regime:
when trend regime is strong (trreg high), the anchor leans toward the fast EMA (more responsive)
when noise regime is strong (nsreg high), it leans toward the slow EMA (more stable)
Band distance is bdist = volc * bmult, and bmult is also regime-dependent:
in noise, bmult becomes larger → bands widen → fewer false flips
in trend, bmult tightens → better trailing sensitivity
Finally, the trailing bands (fup, flo) use a classic "non-decreasing band" logic similar to trailing-stop structures: the band only moves in the favorable direction unless price invalidates it, preventing constant band oscillation.
Bias and conviction layer
A switch is not triggered merely by close above/below a band. VRS computes conviction, which mixes:
Intra-bar price action bias
Two normalized elements are used: CLV (close location value) inside the candle range and body direction/strength relative to candle range. Both are Z-scored and squashed (atan-based) to avoid extreme outliers dominating.
Trend bias
Difference between fast and slow EMA, normalized by volatility, then Z-scored and squashed.
Displacement breakout quality
If price breaks above fup or below flo, it computes a breakout 'distance' normalized by volatility, then converts it into a Z-score relative to recent breakout behavior (dbullz, dbearz)
These get blended into a conviction signal that is smoothed, and then compared against a dynamic trigger threshold built from the average + stdev of conviction magnitude. A flip should happen when price action + trend bias + breakout quality jointly exceed what is normal for this market recently.
Practical reading notes
VRS generally behaves best when read as "current regime context + boundary + switch events" rather than as a constant entry/exit engine. In trending conditions, the trail will tend to hug price more tightly and switches will be less frequent. In noisy conditions, the corridor widens and the script becomes more conservative, often producing rejected switch attempts rather than rapid flips.
The rejected-switch markers (yellow X) are explicit evidence that the script detected an attempted regime change but did not see enough acceptance. For discretionary use, those rejection points can be useful as information about failed break attempts or lack of follow-through.
This script is designed to be adaptive, but it still has structural constraints. It uses volatility normalization and regime weighting to reduce parameter brittleness, yet extreme regime changes (sudden volatility spikes, news-driven moves, illiquid gaps) can still cause behavior that looks late or 'overly strict', because acceptance and confirmation are intentionally conservative in high-noise conditions. Conversely, on very smooth trend legs, the trail can appear tight and switches may look clean, but that depends on how the chosen lengths match the instrument’s tempo.
Also, because this is a state machine with acceptance logic, you should expect situations where price briefly breaks a boundary and then returns—those are exactly the environments that produce rejected switches. The indicator surfaces that behavior explicitly instead of hiding it. インジケーター
Apex Momentum Wave [Pineify]Apex Momentum Wave
The Apex Momentum Wave (AMW) is a noise-filtered momentum oscillator that combines Hull Moving Average price smoothing with RSI momentum measurement and an EMA-based signal line to produce cleaner, more actionable momentum readings. Instead of applying RSI directly to raw price — which often generates noisy, whipsaw-prone signals — AMW first smooths the close price through an HMA filter to strip out short-term market noise, then measures momentum on this cleaned data. The result is a responsive yet smooth oscillator that highlights genuine momentum shifts while suppressing false signals. Buy and sell markers are further refined by a midline filter that only triggers entries when momentum is turning from a favorable position, making this indicator a practical tool for timing entries across any market and timeframe.
Key Features
HMA-smoothed RSI oscillator — applies RSI to a Hull Moving Average of price rather than raw close, dramatically reducing noise and false momentum readings.
EMA signal line with crossover detection — a trailing signal line provides clear, objective crossover-based entry triggers.
Midline-filtered buy/sell signals — BUY signals only fire when momentum crosses up below the 50 midline (turning from weakness), and SELL signals only fire when crossing down above 50 (turning from strength), filtering out low-conviction entries.
Multi-layer visual zone system — overbought/oversold zones, dynamic breach fills, and oscillator-signal cloud fills provide instant visual context of market momentum state.
Built-in alert conditions — configurable alerts for both BUY and SELL signals for hands-free monitoring.
How It Works
The indicator follows a three-stage calculation pipeline designed to extract clean momentum information from price:
Price smoothing via Hull Moving Average (HMA): The closing price is first passed through an HMA with a configurable period (default: 7). The Hull Moving Average uses a combination of weighted moving averages with a square-root-period final smoothing step, producing a curve that closely tracks price with significantly less lag than traditional SMA or EMA. This step acts as a pre-filter, removing intrabar noise and minor fluctuations before momentum is measured.
Momentum measurement via RSI: The Relative Strength Index is then calculated on the HMA-smoothed price over a configurable lookback (default: 14). Because the input price has already been cleaned by the HMA, the resulting RSI oscillator produces smoother momentum readings that more accurately reflect the underlying trend's strength, rather than reacting to every minor price tick.
Signal line via EMA: An Exponential Moving Average (default period: 9) is applied to the oscillator output, creating a trailing signal line. Crossovers between the oscillator and this signal line indicate momentum direction changes — the oscillator crossing above the signal suggests strengthening momentum, while crossing below suggests weakening momentum.
Trading Ideas and Insights
The AMW is designed to be versatile across different trading styles and market conditions. Here are practical approaches:
Momentum reversal entries: The primary use case — when a BUY triangle appears (oscillator crosses above signal below the 50 midline), it indicates momentum is shifting from bearish to bullish while still in the lower half of the range, catching the turn early. Enter long and target the midline or overbought zone. The SELL signal is the mirror for short entries.
Overbought/oversold confluence: When the oscillator enters the shaded overbought zone (above 80) or oversold zone (below 20), the market is at a momentum extreme. Wait for the oscillator to turn and cross below the signal line (in overbought) or above it (in oversold) for high-probability mean reversion trades.
Trend confirmation: Use the cloud fill between the oscillator and signal line as a trend filter. A sustained bullish (green) cloud suggests maintaining long bias; a sustained bearish (red) cloud suggests maintaining short bias. Only take signals aligned with the prevailing cloud color for higher win rates.
Divergence analysis: Compare the oscillator's peaks and troughs with price action. If price makes a higher high but the oscillator makes a lower high, bearish divergence suggests weakening momentum — and vice versa for bullish divergence. These divergences often precede significant reversals.
How Multiple Indicators Work Together
The AMW integrates three distinct technical components into a cohesive system, each serving a specific role:
Hull Moving Average (noise reduction): The HMA serves as the foundation layer, transforming noisy raw price data into a clean input signal. Its near-zero-lag property is critical — if a lagging average like SMA were used instead, the subsequent RSI calculation would inherit that lag, making the entire oscillator slow to react. HMA preserves responsiveness while eliminating the noise that causes false RSI signals.
Relative Strength Index (momentum quantification): RSI converts the smoothed price movement into a bounded 0–100 oscillator that measures the speed and magnitude of price changes. Applied to the HMA-filtered price, it produces a momentum reading that is both responsive and stable — capturing genuine momentum shifts without the jitter that plagues standard RSI on raw price.
Exponential Moving Average signal line (timing mechanism): The EMA of the oscillator creates a reference line that the oscillator oscillates around. Crossovers between the two provide objective, rule-based entry timing. The EMA's inherent smoothing prevents the signal line from reacting to every minor oscillator fluctuation, ensuring crossovers represent meaningful momentum changes rather than noise.
The synergy is sequential: HMA cleans the price → RSI measures momentum on clean data → EMA provides a timing reference for the momentum reading. Each layer builds on the previous one, and the midline filter on top adds a final directional bias check, ensuring the complete system produces signals only when multiple conditions align.
Unique Aspects
Pre-filtered RSI approach: Most oscillator indicators apply RSI (or similar) directly to raw price. AMW's innovation is the HMA pre-smoothing step, which fundamentally changes the quality of the RSI output. This two-stage approach produces a momentum oscillator that behaves more like a "true" momentum reading rather than a noisy derivative of price.
Midline directional filter: Unlike simple crossover systems that generate signals anywhere in the oscillator range, AMW restricts BUY signals to the lower half (below 50) and SELL signals to the upper half (above 50). This ensures entries occur when momentum is turning from a relatively extreme position, significantly reducing false signals during choppy, range-bound conditions.
Multi-layer visual feedback: The indicator provides four distinct visual layers — oscillator-signal cloud fill, horizontal zone lines, extreme zone background shading, and dynamic breach fills — giving traders an immediate, at-a-glance understanding of the current momentum state without needing to interpret raw numbers.
Clean sub-panel design: As a non-overlay oscillator, AMW keeps the price chart uncluttered while providing all momentum information in a dedicated panel, making it easy to combine with overlay-based indicators like moving averages or support/resistance tools.
How to Use
Add the indicator to your chart. It will appear in a separate panel below the price chart, displaying the oscillator (thick line), signal line (orange), and reference levels.
Watch for BUY triangles (green, at the bottom of the panel) — these appear when the oscillator crosses above the signal line while below the 50 midline, indicating a bullish momentum shift from a weak state.
Watch for SELL triangles (red, at the top of the panel) — these appear when the oscillator crosses below the signal line while above the 50 midline, indicating a bearish momentum shift from a strong state.
Use the cloud fill color between the oscillator and signal line to gauge the prevailing momentum direction — green for bullish, red for bearish.
Monitor the overbought (80) and oversold (20) zones. When the oscillator enters these shaded areas and the breach fill activates, the market is at a momentum extreme — be alert for potential reversals.
Set up alerts using the built-in "AMW Buy Signal" and "AMW Sell Signal" alert conditions to receive real-time notifications.
Customization
Momentum Length (default: 14): The RSI lookback period. Lower values (e.g., 8–10) make the oscillator more sensitive and responsive, suitable for scalping or lower timeframes. Higher values (e.g., 21–30) produce smoother, more stable readings for swing trading or higher timeframes.
Price Smoothing / HMA (default: 7): Controls the Hull Moving Average period applied to price before RSI calculation. Lower values preserve more price detail but allow more noise through; higher values produce a cleaner oscillator but introduce slight additional lag. Find the balance that suits your timeframe.
Signal Line Length (default: 9): The EMA period for the signal line. Shorter periods make the signal line more reactive, generating more frequent crossovers; longer periods produce fewer but potentially more reliable crossover signals.
Overbought Level (default: 80): The upper threshold for the extreme zone. Raise to 85 or 90 for fewer but more extreme overbought readings; lower to 70 or 75 for earlier warnings.
Oversold Level (default: 20): The lower threshold for the extreme zone. Lower to 10 or 15 for fewer but more extreme oversold readings; raise to 25 or 30 for earlier warnings.
All colors — bullish, bearish, and signal line — are fully customizable through the Colors & Aesthetics settings group.
Conclusion
The Apex Momentum Wave reimagines the classic RSI oscillator by introducing an HMA pre-smoothing stage that fundamentally improves signal quality. Combined with an EMA signal line for objective crossover timing and a midline directional filter that restricts entries to favorable momentum positions, AMW delivers a momentum oscillator that is both cleaner and more actionable than standard RSI implementations. Its multi-layer visual design — featuring cloud fills, zone shading, and dynamic breach highlights — provides traders with immediate, intuitive momentum context. Whether you trade stocks, forex, crypto, or futures, the Apex Momentum Wave adapts to your market and timeframe, offering a refined approach to momentum-based trading decisions. インジケーター
インジケーター
CUSUM Trend [AlgoPoint]The CUSUM Trend by AlgoPoint brings hedge-fund-level quantitative analysis directly to your charts. While standard moving averages suffer from lag and fakeouts, this script utilizes an advanced Cumulative Sum (CUSUM) algorithm, deeply re-engineered with adaptive volatility and volume-weighted metrics to identify true market regimes.
It is designed to protect traders from choppy markets and explicitly capture high-probability, volume-backed trend breakouts before they become obvious to the retail crowd.
🧠 Under the Hood: The Quant Mechanics
Instead of a basic price deviation model, the CUSUM Trend operates on four advanced pillars:
- Zero-Lag Kernel (Ehlers SuperSmoother): We replaced traditional MAs with John Ehlers' SuperSmoother filter to establish a mathematically zero-lag baseline.
- Volume-Weighted Residuals: Price deviations (residuals) only build up the CUSUM pressure pools if they are backed by institutional volume. Low-volume spikes are treated as noise and explicitly filtered out.
- Fractal Dimension (Adaptive Thresholds): By using a proxy for the Hurst Exponent, the engine "reads" the market state. In choppy conditions, the bands expand defensively to prevent fakeouts. In trending conditions, they tighten aggressively.
- Asymmetric Volatility: The algorithm calculates upside and downside variance independently, recognizing that market drops are often much sharper than rallies.
📊 How to Read the Chart
- The Dynamic Trend Cloud: The asymmetric bands represent the institutional pressure thresholds. When price breaks and confirms outside this zone, a regime change (Bull/Bear trend) is triggered.
- Gradient Candles: Candle colors dynamically shift based on the built-up CUSUM pressure. Bright green/red indicates extreme breakout momentum, while faded colors represent a stable trend or a ranging market.
- Trailing Stop: Once a trend is established, the opposite side of the threshold acts as a dynamic trailing stop line, allowing you to ride the trend to its mathematical exhaustion.
- Hybrid Dashboard: Monitor the internal breakout pressure, fractal regime, and exact trailing stop value in real-time without cluttering your main view.
⚙️ How to Use It
- Sensitivity Profiles: Choose between Fast (Day Trade), Balanced (Swing), or Slow (Trend) in the settings. The engine automatically recalculates all internal variance and fractal thresholds based on your choice.
- Automation Ready: Fully compatible with webhook automation (3Commas, PineConnector, etc.) via dynamic JSON alerts triggering on confirmed regime breakouts.
Disclaimer: This indicator is for educational and analytical purposes only. Past performance is not indicative of future results. インジケーター
インジケーター
インジケーター
Adaptive Momentum Classifier [WillyAlgoTrader]📡 Adaptive Momentum Classifier is an overlay indicator that evaluates four independent market dimensions — momentum, trend, volatility position, and money flow — ranks each one against its own historical distribution using percentile scoring, and combines them into a single composite score (0–100%) that drives signal generation. Signals fire only when the composite score crosses a threshold with minimum feature agreement across axes, passes through five independent filters, and is confirmed on bar close.
The core idea: instead of using one indicator to generate signals, this tool treats four market dimensions as independent measurement axes, normalizes each to a uniform 0–1 scale via percentile ranking, weights and combines them into a consensus score, and then requires both the score threshold AND a minimum number of agreeing axes before allowing a signal. This multi-axis + agreement gate architecture filters out situations where a single strong reading (e.g., RSI spike) would trigger a false signal while the other dimensions disagree.
🧩 WHY THESE COMPONENTS WORK TOGETHER
Traditional signal generators face a fundamental problem: a single indicator measures one market dimension. RSI measures momentum speed but is blind to trend direction. MACD measures trend but ignores where price sits within its volatility envelope. Volume-based indicators measure flow but know nothing about price momentum. Using any one of these alone produces signals that ignore critical market context.
Simply combining indicators with AND/OR logic (e.g., "buy when RSI > 50 AND MACD > 0") doesn't solve the deeper problem: the indicators are on different scales, have different distributions, and their raw values aren't comparable. RSI = 55 and MACD histogram = 0.002 both "lean bullish" but you can't meaningfully average them.
This indicator solves both problems:
Step 1 — Orthogonal axis design: Each axis measures a genuinely different market dimension. Momentum (how fast), Trend (which direction), Volatility Position (where within the range), Flow (where is money going). They are deliberately chosen to be as independent as possible.
Step 2 — Percentile normalization: Each axis's raw value is ranked against its own recent history. "Is this RSI-ROC blend reading higher than 75% of the last 89 readings?" This converts every axis to a uniform 0–1 scale where 0.5 = median. Now all four axes are directly comparable and combinable.
Step 3 — Weighted consensus: The four normalized scores are combined with weights (Trend 1.2×, Momentum 1.0×, Flow 1.0×, Volatility 0.8×) into a single composite score. The weighting reflects that trend conviction is slightly more predictive than raw momentum.
Step 4 — Agreement gate: Even with a high composite score, the signal is blocked unless at least half the axes independently agree (each reading > 0.6 for bullish or < 0.4 for bearish). This prevents one extreme axis from dominating the composite and producing a false consensus.
Step 5 — Filter stack: Five independent filters (trend alignment, volatility regime, volume, score acceleration, HTF bias) provide additional context gates. The signal only fires when all enabled filters pass simultaneously.
No single component is useful alone. Percentile ranking without multiple axes just normalizes one indicator. Multiple axes without percentile ranking can't be meaningfully combined. A combined score without the agreement gate can be dominated by one outlier. And all of this without filters would still fire in unsuitable market conditions. The full pipeline is required.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Four-axis percentile scoring engine.
Each axis is built from two sub-components blended together, then converted to a 0–1 percentile rank against the scoring lookback window (default 89 bars). The percentile function counts what fraction of historical values are below the current value — producing a uniform distribution with no dead zones (unlike z-score normalization which compresses values near the mean).
Axis 1 — Momentum (weight 1.0):
Sub-components: RSI(13) centered at 50, and ROC(9). Each is percentile-ranked independently, then blended 60% RSI + 40% ROC. RSI provides stable momentum reading, ROC provides faster reaction to price acceleration. The blend captures both speed (ROC) and sustained momentum (RSI) in a single axis.
Axis 2 — Trend (weight 1.2):
Sub-components: MACD histogram (12/26/9), and EMA slope normalized by ATR. EMA slope = (EMA − EMA ) / (ATR × 5), making it scale-independent across instruments. Each percentile-ranked, blended 60% MACD + 40% slope. MACD histogram captures momentum of the trend itself (acceleration), while EMA slope captures sustained directional movement. This axis receives the highest weight (1.2) because directional conviction is the strongest single predictor of continuation.
Axis 3 — Volatility Position (weight 0.8):
Sub-components: Bollinger %B (21-period, showing where price sits within the band envelope, 0 = lower band, 1 = upper band), and ATR expansion ratio (current ATR / SMA of ATR over lookback). Combined as: (BB%B − 0.5) × min(ATR_ratio, 2.5), then percentile-ranked. This creates a directional volatility signal: price at upper band during volatility expansion scores high (strong bullish breakout), price at upper band during contraction scores lower (potential mean-reversion). The ATR ratio is capped at 2.5 to prevent extreme volatility spikes from distorting the axis. Lower weight (0.8) reflects that volatility position is a confirming factor, not a primary driver.
Axis 4 — Flow (weight 1.0, auto-disabled without volume):
Sub-components: MFI(13) centered at 50, and OBV slope (smoothed OBV EMA(21), slope = (OBV_EMA − OBV_EMA ) / |OBV_EMA|). Each percentile-ranked, blended 50/50. MFI combines price and volume into a single money flow reading, OBV slope shows whether accumulation is accelerating or decelerating. On instruments without volume data (forex), this axis returns 0.5 (neutral) and its weight drops to 0, so the composite score is calculated from three axes only.
2️⃣ Composite score with symmetric thresholds.
The four axes are combined: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility_position + 1.0 × flow) / total_weight. Result is 0–1 where 0 = maximum bearish consensus, 0.5 = neutral, 1 = maximum bullish consensus. A buy signal fires when the composite crosses above the threshold (default 0.618). A sell signal fires when it crosses below (1 − threshold = 0.382). This creates symmetric entry conditions: the same strength of consensus is required for both directions.
3️⃣ Feature agreement gate.
Independent of the composite score, each axis is evaluated for directional agreement: > 0.6 = bullish vote, < 0.4 = bearish vote, 0.4–0.6 = abstain. The agreement ratio = max(bull_votes, bear_votes) / active_axes. Signals require agreement ≥ 0.5 (at least half the axes independently confirming the same direction). This prevents false signals from composite score averaging: if momentum = 0.95 but trend = 0.3 and volatility = 0.4, the composite might cross the threshold but only 1/4 axes agree — signal is blocked.
4️⃣ Score acceleration filter.
The rate of change of the composite score: acceleration = score − score . Signals require |acceleration| ≥ Min Score Acceleration (default 0.02). This filters out slow-drift crossovers where the score gradually creeps past the threshold without any decisive move — these typically represent noise, not genuine momentum shifts. Only fast, decisive threshold crosses produce signals.
5️⃣ Five-filter stack.
Each filter is independently toggleable:
— Trend Alignment (default On): price must be above EMA(50) for longs, below for shorts — prevents counter-trend entries
— Volatility Regime (default On): ATR ratio must be between 0.4 and 3.0 — suppresses signals during dead markets (ATR < 40% of average) and crash conditions (ATR > 300% of average)
— Volume Confirmation (default On): volume must exceed 80% of its 20-period SMA — confirms market participation. Auto-disabled on instruments without volume data
— Score Acceleration (default 0.02): described above. Set to 0 to disable
— Higher TF Bias (default disabled): when a timeframe is selected, price must be above/below EMA(21) on the higher timeframe for longs/shorts. Uses + lookahead_on for non-repainting HTF data
6️⃣ Direction lock — no consecutive same-direction signals.
After a buy signal fires, the next signal can only be a sell (and vice versa). This prevents signal clustering where multiple buy signals fire in sequence during a strong trend — you get one entry per direction until the trend reverses.
7️⃣ Four sensitivity presets.
Each preset overrides two parameters simultaneously:
— Conservative : threshold 0.80, lookback 150 — requires very strong consensus over a long history, fewer but higher-conviction signals
— Default : uses your manual settings (threshold 0.618, lookback 89)
— Aggressive : threshold 0.60, lookback 60 — lower bar for signals, shorter history, faster adaptation
— Scalping : threshold 0.55, lookback 40 — minimum consensus required, very short history, designed for 1–5M charts
The lookback affects all four axes simultaneously (percentile ranking window), so the entire scoring engine adapts as a unit.
8️⃣ Dynamic trend band.
A visual EMA ± 0.5× ATR band colored by the composite score: green (score > 55%), red (< 45%), yellow (neutral). This provides an at-a-glance trend context without needing to read the dashboard. The band width adapts to volatility automatically.
9️⃣ Signal strength classification.
Each signal is classified based on the composite score at the moment of firing: Strong (score ≥ 85%), Medium (≥ 75%), Weak (< 75%). Displayed in the dashboard and available in alert messages. This helps you size positions or filter setups based on conviction level.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Raw feature calculation: RSI(13), ROC(9), MACD(12/26/9) histogram, EMA slope (normalized by ATR), BB%B(21), ATR ratio, MFI(13), OBV slope — eight raw values computed from price and volume.
Step 2 — Percentile ranking: Each raw value is ranked against its own history over the scoring lookback (default 89 bars). The pctRank function iterates through the lookback window and counts what fraction of past values are below the current value. Result: 0.0 (lower than all history) to 1.0 (higher than all history). This normalization is performed for each of the eight sub-components independently.
Step 3 — Axis blending: Each pair of sub-components is blended into one axis score: momentum = 0.6 × pctRSI + 0.4 × pctROC, trend = 0.6 × pctMACD + 0.4 × pctSlope, volatility = pctVolPosition (single combined raw), flow = 0.5 × pctMFI + 0.5 × pctOBV.
Step 4 — Weighted composite: composite = (1.0 × momentum + 1.2 × trend + 0.8 × volatility + 1.0 × flow) / total_weight. On instruments without volume: flow weight = 0, total_weight = 3.0 instead of 4.0.
Step 5 — Threshold crossing: Buy triggers when composite crosses above the threshold (default 0.618) from below. Sell triggers when composite crosses below (1 − 0.618 = 0.382) from above. Both require barstate.isconfirmed.
Step 6 — Agreement check: Each axis is independently classified as bullish (> 0.6), bearish (< 0.4), or neutral. At least 50% of active axes must agree with the signal direction.
Step 7 — Filter stack: All five enabled filters must pass. Any failure blocks the signal.
Step 8 — Direction lock: Signal must be opposite to the last confirmed signal.
Step 9 — Emission: Buy (▲) or Sell (▼) label placed on the confirmed bar.
📖 HOW TO USE
🎯 Quick start:
1. Add the indicator to your chart
2. Select a sensitivity preset matching your style (or use Default)
3. The trend band immediately shows the current momentum bias (green/red/yellow)
4. Wait for a ▲ (buy) or ▼ (sell) label — check the dashboard for score and strength
5. Use the agreement ratio (e.g., 3/4) to confirm multi-axis consensus
👁️ Reading the chart:
— 🟢 Green trend band = bullish momentum (score > 55%)
— 🟡 Yellow trend band = neutral / transition zone
— 🔴 Red trend band = bearish momentum (score < 45%)
— 🟢 ▲ label below bar = confirmed buy signal
— 🔴 ▼ label above bar = confirmed sell signal
— Band width = current volatility (wider = more volatile)
📊 Dashboard fields:
— Trend: current composite direction (Bullish / Bearish / Neutral)
— Last Signal: most recent signal with bars elapsed
— Strength: signal quality (Strong / Medium / Weak)
— Score: current composite as percentage
— Agreement: how many axes confirm (e.g., 3/4)
— Volatility: ATR regime (High / Normal / Low)
— TF and version
🔧 Tuning guide:
— Too many signals: increase threshold (0.70–0.85), enable more filters, use Conservative preset
— Too few signals: decrease threshold (0.55–0.60), reduce lookback (50–70), use Aggressive preset
— Signals too late: shorten RSI/ROC/MACD lengths, reduce lookback
— Too many false signals in ranging markets: enable ADX-aware Volatility Regime filter, increase Min Score Acceleration to 0.03–0.05
— Scalping 1–5M: use Scalping preset (threshold 0.55, lookback 40), lower filter aggressiveness
— Swing 4H–1D: use Conservative preset (threshold 0.80, lookback 150), enable HTF bias filter
⚙️ KEY SETTINGS REFERENCE
⚙️ Main:
— Sensitivity Preset (default Default): Conservative / Default / Aggressive / Scalping
— Scoring Lookback (default 89): percentile ranking window — higher = more stable, lower = faster adaptation
— Signal Threshold (default 0.618): minimum composite score for buy signals (sell = 1 − threshold)
📊 Feature Engine:
— RSI Length (default 13) / ROC Length (default 9): momentum axis sub-components
— MACD Fast/Slow/Signal (default 12/26/9): trend axis MACD
— Bollinger Length (default 21): volatility position axis
— MFI Length (default 13) / OBV Smooth (default 21): flow axis
🔍 Filters:
— Trend Alignment (default On): EMA(34) trend direction gate
— Volatility Regime (default On): ATR ratio 0.4–3.0 range gate
— Volume Confirmation (default On): volume > 80% of 20-SMA
— Min Score Acceleration (default 0.02): minimum speed of score change
— Higher TF Bias (default Off): optional HTF EMA(21) alignment
🎨 Visual:
— Trend band (EMA ± 0.5× ATR, scored coloring)
— Background tint / Dynamic bar coloring (optional)
— Auto / Dark / Light theme
🔔 Alerts
— 🟢 BUY — ticker, price, timeframe, composite score
— 🔴 SELL — same fields
Both support plain text and JSON webhook format. Bar-close confirmed, direction-locked (no consecutive same-direction alerts).
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals require barstate.isconfirmed. HTF bias uses + lookahead_on. A warmup period (max of lookback, MACD slow period, and trend EMA length, minimum 50 bars) prevents signals during insufficient data.
— 📐 The composite score is not a probability . A score of 80% means four market dimensions, percentile-ranked against recent history, strongly agree on bullish conditions. It measures consensus quality, not prediction accuracy.
— ⚖️ Percentile ranking is relative to the lookback window . A score of 0.9 means "higher than 90% of the last N bars" — it does not mean the same thing on different instruments or timeframes. Each chart creates its own distribution.
— 📊 The Flow axis (MFI + OBV) auto-disables on instruments without volume data (many forex pairs). The composite then runs on three axes with adjusted total weight. Signal quality is slightly lower without flow data but the other three axes remain fully functional.
— 🔒 Direction lock means you get one signal per trend leg . After a buy, only a sell can fire next. This prevents clustering but means you won't get "add to position" signals — the tool provides one entry per direction.
— 🔄 The agreement gate requires ≥ 50% of axes to independently confirm. On 4-axis instruments, this means ≥ 2. On 3-axis (no volume), ≥ 2. This is a deliberately moderate threshold — raising it to 75%+ would make signals extremely rare.
— 🛠️ This is a signal and analysis tool , not an automated trading bot. It classifies momentum consensus and generates signals — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Volume-dependent features auto-adapt to available data. インジケーター
SmartTrend Pro [WillyAlgoTrader]📡 SmartTrend Pro is an overlay indicator built around a custom trend detection algorithm — the Adaptive Volatility Trend Engine (AVTE) — that replaces the standard Supertrend approach with Ehlers Super Smoother filtering and Kaufman adaptive ATR bands. Every trend flip is scored by a multi-factor confluence system (0–100) before becoming a signal. The result is a trend-following tool that adapts to current volatility conditions, filters out low-confidence entries, and provides dynamic TP/SL levels — all with full anti-repaint protection.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A traditional Supertrend uses a simple moving average of True Range to calculate bands. This works in steady markets but produces false signals during volatility spikes and misses early reversals during compression. SmartTrend Pro replaces every component of this pipeline with an adaptive alternative, creating a system where each stage feeds the next:
Ehlers-filtered price → Kaufman-adaptive ATR → Volatility bands → Trend direction → Confluence scoring → Filtered signal → Risk levels
The Ehlers Super Smoother removes high-frequency noise from the price before the trend bands are calculated — this prevents the trend engine from reacting to random wicks. The Kaufman adaptive ATR widens bands when volatility is real (sustained directional movement) and tightens them during choppy, low-efficiency conditions — making the trend change threshold automatically adjust. The confluence scoring system then evaluates each trend flip against five independent market factors before allowing the signal to fire. And the TP/SL system freezes its risk distance at entry (using the ATR at signal time) so targets don't drift as volatility changes post-entry.
No single component here is sufficient on its own. An Ehlers filter without adaptive bands still produces false crossovers. Adaptive bands without scoring still trigger on weak trend flips. Scoring without frozen TP/SL creates drifting targets. The integrated pipeline solves all three problems simultaneously.
🔍 WHAT MAKES IT ORIGINAL
1️⃣ Adaptive Volatility Trend Engine (AVTE) — custom trend algorithm.
The AVTE replaces the standard Supertrend calculation at every stage:
Stage 1 — Price filtering: Instead of using raw price, the AVTE applies an Ehlers 2-pole Super Smoother to the source. The Ehlers filter uses the transfer function:
ss = c1 × (src + src ) × 0.5 + c2 × ss + c3 × ss
where c1 = 1 − c2 − c3, c2 = 2a × cos(√2 × π / period), c3 = −a², and a = exp(−√2 × π / period). This produces zero-lag frequency-domain filtering — it removes high-frequency noise without the phase distortion that a simple moving average introduces. The filter period is derived from the ATR period (ATR_period / 2, minimum 3).
Stage 2 — Adaptive volatility measurement: Instead of a fixed-length ATR, the AVTE uses a Kaufman Adaptive ATR. First, a standard ATR(period) is calculated. Then the Kaufman Efficiency Ratio (ER) is computed: ER = |close − close | / sum(|close − close |, period). The ER measures how much net directional movement exists relative to total path traveled — ranging from 0 (pure chop) to 1 (clean trend). The ER then modulates a smoothing constant: sc = (ER × (fast − slow) + slow)², where fast = 2/3 and slow = 2/31. The adaptive ATR blends: aATR = aATR + sc × (rawATR − aATR ). In trending conditions (high ER), the adaptive ATR reacts quickly to volatility changes. In choppy conditions (low ER), it smooths aggressively, preventing false band expansions.
Stage 3 — Band calculation and trend direction: Upper band = filtered_price + sensitivity × adaptive_ATR. Lower band = filtered_price − sensitivity × adaptive_ATR. Bands ratchet in the trend direction: the lower band can only rise (never fall) during uptrends, the upper band can only fall during downtrends. When close crosses above the upper band, trend flips bullish. When close crosses below the lower band, trend flips bearish. The trend line follows the lower band in uptrends, upper band in downtrends (step-line visualization).
The Sensitivity parameter (default 2.5) controls how far the bands sit from filtered price. Lower = tighter bands, more signals, faster reaction. Higher = wider bands, fewer signals, smoother.
2️⃣ Multi-confluence scoring system (0–100).
Every AVTE trend flip is evaluated against five independent market factors before becoming a signal:
Factor 1 — EMA alignment (±15 pts): Checks whether close > EMA(50) > EMA(200) for bullish alignment, or close < EMA(50) < EMA(200) for bearish. Full alignment = +15 (bull) or −15 (bear). No alignment = 0. This confirms the trend flip aligns with the broader trend structure.
Factor 2 — RSI position (±10 pts): RSI(14) between 50–70 = +10 (bullish momentum without overextension). RSI 30–50 = −10 (bearish). Extremes (>70 or <30) score 0 — avoiding signals at overbought/oversold levels where reversals are more likely.
Factor 3 — MACD histogram direction (±12 pts): MACD(12,26,9) histogram > 0 and rising = +12 (accelerating bullish momentum). Histogram < 0 and falling = −12 (accelerating bearish). This captures momentum acceleration, not just direction.
Factor 4 — Volume confirmation (0–8 pts): Volume > 20-period SMA × 1.2 = +8. This confirms institutional participation. Auto-disabled on instruments without volume data (forex).
Factor 5 — ADX strength (0–10 pts): ADX(14) > 25 = +10, ADX > 20 = +5. Confirms the market is trending, not ranging.
The base score starts at 50. Bullish factors add, bearish factors subtract. Final score is clamped to 0–100. A buy signal fires when the AVTE flips bullish AND score ≥ Min Signal Score (default 55). A sell signal fires when AVTE flips bearish AND score ≤ (100 − Min Signal Score), creating symmetric thresholds around 50. Signals with score ≥ 75 (buy) or ≤ 25 (sell) are classified as "Strong" and receive a distinct label.
3️⃣ Ehlers Super Smoother trend cloud.
A dual-band cloud system using two Ehlers Super Smoothers at different periods. The fast period depends on the Cloud Style setting:
— Adaptive: auto-adjusts between 13 and 55 based on current volatility — calculated as 34 × (1 + stdev(close, 20) / adaptive_ATR × 0.5)
— Fast: fixed at 21 (tight cloud for scalping)
— Smooth: fixed at 55 (wide cloud for swing)
— Minimal: fixed at 34 (single line, no fill)
The slow period = fast period × 2.618 (golden ratio). Cloud is bullish when fast > slow (green fill), bearish when fast < slow (red fill). The AVTE step-line is overlaid on the cloud for immediate trend-direction clarity. An optional trend tracer (EMA, default 233-period) provides institutional-level long-term bias.
4️⃣ Four-preset system with parameter scaling.
Presets modify three core parameters simultaneously using multipliers:
— Conservative : sensitivity × 1.4, ATR period × 1.3, min score floor 70 — fewer but higher-quality signals, for swing trading
— Balanced : no modification — default parameters, good for 15M–4H
— Aggressive : sensitivity × 0.7, ATR period × 0.8, min score ceiling 45 — more signals, faster entries
— Scalping : sensitivity × 0.5, ATR period × 0.6, min score ceiling 40 — optimized for 1–5M, tightest bands
Each preset adjusts the effective sensitivity, ATR length, and minimum score threshold proportionally, so one selection adapts the entire signal pipeline rather than requiring manual tuning of individual parameters.
5️⃣ Dynamic TP/SL with frozen risk distance.
Three stop-loss modes:
— ATR : SL distance = adaptive ATR × configurable multiplier (default 1.5×)
— Percentage : SL distance = fixed percentage of entry price
— Structure : SL distance = half the recent swing range (highest high − lowest low over swing lookback)
TP levels are calculated as multiples of SL distance: TP1 = SL × 1.5 (default), TP2 = SL × 2.5, TP3 = SL × 4.0. The SL distance is frozen at entry — once a signal fires, the risk distance is locked and does not change with subsequent volatility. This prevents TP/SL levels from drifting as ATR changes post-entry. TP hit markers (×) appear on the chart as each level is reached. An optional Chandelier Exit trailing stop follows price using the ATR multiplier, ratcheting in the profit direction.
6️⃣ Pullback signals within established trends.
In addition to trend-flip signals, the indicator detects pullback entries within an existing trend:
— Bullish pullback: AVTE trend is bullish (no flip), price retraces to EMA(pullback_sensitivity × 3), RSI(pullback_sensitivity) drops below 35 then starts rising — catching the bounce off trend support
— Bearish pullback: AVTE trend is bearish, price rallies to EMA, RSI exceeds 65 then starts falling
Pullback signals appear as small circles (distinct from the main Buy/Sell labels), providing additional entries within a confirmed trend direction. They are bar-close confirmed and warmup-protected.
7️⃣ Volatility gauge with statistical normalization.
The dashboard displays a real-time volatility reading (0–100%) calculated as: gauge = (ATR(10) − (SMA(ATR, 20) − StDev(ATR, 20))) / (2 × StDev(ATR, 20)) × 100, clamped to 0–100. This measures where current volatility sits relative to its recent statistical distribution: > 70% = High (above 1 standard deviation), 40–70% = Medium, < 40% = Low. This helps you assess whether the current environment suits your strategy: high volatility favors wider stops and fewer signals, low volatility favors tighter approaches.
8️⃣ Multi-timeframe trend panel (non-repainting).
The dashboard includes an MTF panel showing trend direction on 5M, 15M, 1H, 4H, and 1D — using close > EMA(200) with lookahead_on for guaranteed non-repainting. When most timeframes align in one direction, trend-flip signals in that direction have higher confluence.
9️⃣ Session detection.
The dashboard shows the current active trading session: Tokyo, London, New York, Sydney, or overlaps (London/New York, Tokyo/London). Sessions are calculated using UTC-based time windows. This helps you contextualize volatility: London/New York overlap is typically the highest-volume period, while off-hours have thinner liquidity.
🔟 Four optional filters.
Each filter can be independently toggled:
— Trend filter : only signals aligned with the Ehlers cloud direction
— Volume filter : only signals with volume EMA(10) > EMA(25) — auto-disabled for instruments without volume
— ADX filter : only signals when ADX > 20 (trending market)
— Momentum filter : only signals with MACD histogram aligned (positive + rising for buys, negative + falling for sells)
All filters default to Off — enabling them progressively reduces signal frequency while increasing average quality.
⚙️ HOW IT WORKS — CALCULATION FLOW
Step 1 — Ehlers filtering: Source price is passed through the 2-pole Super Smoother with period = max(round(ATR_period / 2), 3). This removes intrabar noise while preserving trend structure.
Step 2 — Adaptive ATR: Kaufman Efficiency Ratio is calculated over the ATR period. The ER modulates the smoothing speed of ATR: trending conditions → fast adaptation, choppy conditions → slow adaptation.
Step 3 — Band construction: Upper = filtered_price + sensitivity × adaptive_ATR. Lower = filtered_price − sensitivity × adaptive_ATR. Bands ratchet: lower band can only rise in uptrends, upper band can only fall in downtrends.
Step 4 — Trend detection: Close above upper band → bullish. Close below lower band → bearish. The trend line is the active band (lower in uptrends, upper in downtrends).
Step 5 — Confluence scoring: On every bar, five factors are evaluated and combined into a 0–100 score. On a trend flip bar, the score determines whether the signal qualifies.
Step 6 — Filter gate: If any enabled filter disagrees, the signal is suppressed.
Step 7 — Signal emission: Buy or Sell label appears on the confirmed bar. Score ≥ 75 / ≤ 25 → "Strong Buy/Sell".
Step 8 — TP/SL placement: Risk distance is calculated and frozen. TP1/TP2/TP3 are placed as R:R multiples. Labels persist on the right side of the chart. Hit markers appear as each level is reached.
📖 HOW TO USE
🎯 Quick start:
1. Select a preset matching your style: Scalping (1–5M), Balanced (15M–4H), Conservative (4H–1D)
2. Add the indicator to your chart — the AVTE trend line and cloud appear immediately
3. Wait for a Buy or Sell label — the score next to it tells you the confluence quality
4. Check the dashboard: trend direction, score, market state (trending/ranging), volatility, session
5. TP/SL levels appear automatically — manage the trade using the marked levels
👁️ Reading the chart:
— 🟩 Green cloud fill = bullish trend (Ehlers fast > slow)
— 🟥 Red cloud fill = bearish trend
— Step-line on the cloud = AVTE trend boundary (the level that must break for a trend flip)
— 🟢 "Buy" / "Strong Buy" label below bar = confirmed bullish signal
— 🔴 "Sell" / "Strong Sell" label above bar = confirmed bearish signal
— 🟢 Small circle below bar = pullback buy (trend continuation entry)
— 🔴 Small circle above bar = pullback sell
— Orange line = entry price | Red line = stop loss | Green lines = TP1/TP2/TP3
— × markers = TP hit confirmations
— HH/HL/LH/LL labels (optional) = market structure swing points
📊 Dashboard fields:
— Trend: current AVTE direction (Bullish/Bearish)
— Signal: last confirmed signal (Buy/Sell/Wait)
— Score: current confluence score (0–100)
— Market: ADX-based state (Trending > 25 / Ranging > 20 / No Trend)
— Volatility: statistical gauge (High/Medium/Low with percentage)
— Session: current active session (Tokyo/London/New York/Sydney/overlaps)
— MTF Panel: 5M/15M/1H/4H/1D trend direction (close vs 200 EMA)
🔧 Tuning guide:
— Too many signals: increase Min Score, enable filters, switch to Conservative preset
— Too few signals: decrease Min Score, switch to Aggressive/Scalping, lower Sensitivity
— Signals too late: lower Sensitivity (tighter bands), use Fast cloud style
— Too many false signals: enable ADX filter (filters ranging markets), increase Min Score to 65+
— Scalping 1–5M: use Scalping preset, ATR mode SL with multiplier 1.0–1.5, TP1 R:R 1.0–1.5
— Swing 4H–1D: use Conservative preset, ATR mode SL with multiplier 2.0–3.0, TP3 R:R 5.0+
⚙️ KEY SETTINGS REFERENCE
⚙️ Main:
— Trend Sensitivity (default 2.5): AVTE band distance — lower = more signals, higher = fewer
— ATR Period (default 21): volatility measurement lookback
— Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping
📡 Signal Tuning:
— Min Signal Score (default 55): minimum confluence to trigger signals
— Strong Signals Only (default Off): only show score ≥ 75
— Show Pullback Signals (default On): trend continuation entries
— Pullback Sensitivity (default 8): retracement detection lookback
☁️ Trend Cloud:
— Cloud Style (default Adaptive): Adaptive / Fast / Smooth / Minimal
— Trend Tracer (default Off): long-term EMA bias line (default 233)
🔍 Filters (all default Off):
— Trend Filter (cloud alignment) / Volume Filter / ADX Filter / Momentum Filter
🛡️ Risk Management:
— SL Mode (default ATR): ATR / Percentage / Structure
— SL ATR Multiplier (default 1.5×) / SL Percentage (default 1.0%)
— TP1/TP2/TP3 Risk:Reward (default 1.5 / 2.5 / 4.0)
— Trailing Stop (default Off): Chandelier Exit method
— Market Structure (default Off): HH/HL/LH/LL swing labels
🎨 Visual:
— Auto / Dark / Light theme
— Bar coloring: Trend Gradient / Signal Based / Momentum / None
— Background trend shading (default Off)
📊 Dashboard:
— Position, font size, MTF panel toggle
🔔 Alerts
— 🟢 Buy / Strong Buy — ticker, price, timeframe, score
— 🔴 Sell / Strong Sell — same fields
— 🎯 TP1 / TP2 / TP3 Hit — ticker, price
— 🛑 SL Hit — ticker, price
— ☁️ Cloud Cross Bullish / Bearish — ticker, timeframe
All alerts support plain text and JSON webhook format. Bar-close confirmed.
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals require barstate.isconfirmed. TP/SL distances are frozen at entry and do not change retroactively. MTF data uses + lookahead_on for non-repainting HTF values. A warmup period (minimum 200 bars or 3× ATR period) prevents signals during insufficient data.
— 📐 The AVTE is not a standard Supertrend . It replaces every component: Ehlers Super Smoother instead of raw price, Kaufman adaptive ATR instead of fixed ATR, ratcheting bands instead of simple ±ATR. The mathematics are described in detail above.
— ⚖️ The confluence score is not a win-rate predictor . A score of 75 means five independent market factors align strongly — it measures confluence quality, not outcome probability. Use it to prioritize, not to guarantee.
— 📊 The scoring system uses standard indicators (EMA, RSI, MACD, Volume, ADX) as confluence factors , not as independent signal generators. None of these indicators alone triggers a signal — they only contribute to the score that gates an AVTE trend flip.
— 🔧 Presets modify parameters proportionally. After selecting a preset, you can still adjust individual settings — the preset sets the starting point, your adjustments override it.
— 📏 TP/SL levels are frozen at entry . The SL distance calculated at the signal bar persists until the next signal — it does not drift with changing ATR. This is by design for consistent risk management.
— 🔄 Pullback signals are continuation entries , not reversal signals. They only appear within an established AVTE trend and require RSI reversion from oversold/overbought — catching bounces off trend support/resistance.
— 🛠️ This is a signal and analysis tool , not an automated trading bot. It generates signals, scores them, and visualizes TP/SL — trade decisions remain yours.
— 🌐 Works on all markets and timeframes. Volume filter auto-disables on instruments without volume data. インジケーター
ZigZag Fibo Cluster (PRZ)This indicator is designed to identify high-probability Potential Reversal Zones (PRZ) by combining Multi-Timeframe (MTF) analysis with Fibonacci clusters. It focuses on filtering out market noise to find mathematically validated support and resistance levels, making it highly effective for intraday trading and sniper entries.
Core Logic & Key Features:
Dual-Layer ZigZag Architecture: The system simultaneously tracks two different ZigZag structures on the chart. It calculates a "Major" wave (default 10-5) for higher timeframes (1D, 4H, 1H) and a "Minor" wave (default 6-3) for the active lower timeframe (e.g., 20m).
Fibonacci Cluster (Kissing) Detector: Fibonacci retracements and extensions from different timeframes rarely align perfectly. This indicator continuously cross-references the active Fibo levels from the Major and Minor structures to find algorithmic overlaps.
Strict 0.1% Precision Tolerance: When a Major Fibonacci level and a Minor Fibonacci level converge within a strict 0.1% price margin, the system validates this as a "Cluster" and plots a precise "PRZ ±0.1%" label on the chart.
Visual Clarity & Chart Cleanliness: It prevents chart clutter by hiding hundreds of irrelevant Fibonacci lines. It only prints labels where the 0.1% tolerance condition is met—meaning both the macro and micro structures agree on the reversal point. Historical wave references are kept as subtle dotted lines.
Dynamic Customization: All ZigZag deviation parameters (Left/Right bars) and extended Fibonacci levels (1.272, 1.618, -0.618, etc.) can be fully customized via the settings menu to adapt to different asset volatilities.
How to Use:
When the "PRZ ±0.1%" label appears, it indicates that the current price action has reached both its macro and micro algorithmic targets. These specific zones provide asymmetric risk/reward opportunities, allowing traders to plan trend reversals, define take-profit areas, or execute counter-trend trades with extremely tight stop-loss margins. インジケーター
Trend Freeway MTF | ProjectSyndicateTrend Freeway MTF provides a complete multi-timeframe market overview in a single, clean panel. It visualizes trend and momentum confluence across 5 user-defined timeframes by simultaneously tracking Supertrend, RSI, and MACD status. This eliminates the need to switch between charts, providing an instant, high-conviction view of whether the market is aligned for a strong move or is consolidating with conflicting signals.
• 🚦 15-Lane Confluence Panel — each of the 5 timeframe groups is split into 3 sub-lanes SUPER, RSI, MACD, giving you a 15-point real-time market audit.
• 🧠 Triple-Indicator Logic — cross-validates a trend-following indicator Supertrend, a momentum oscillator RSI, and a trend/momentum hybrid MACD for robust signal filtering.
• 🔭 Full Multi-Timeframe Support — instantly see the bigger picture by monitoring 5 timeframes at once defaults: M5, M15, M30, H1, H4, all fully configurable to any TF.
• 📊 Master Trend Signal Header — a dynamic header at the top of the panel scores all 15 lanes and displays the master signal BUY, STRONG BUY, SUPER STRONG BUY with a color-coded background for an immediate, top-down market bias reading.
• 🎨 Clear Visual Hierarchy — uses a distinct, high-contrast color scheme dark teal for bull, dark crimson for bear, near-black for neutral so you can assess market alignment in a fraction of a second.
• 🔔 Comprehensive Alerts — get notified when a specific signal strength is reached e.g., STRONG BUY or when all 15 lanes achieve full bullish or bearish confluence, ensuring you never miss a major market shift.
• ✅ RSI Neutral Zone Filter — the RSI lane turns a neutral color when momentum is weak between 40-60 by default, effectively filtering out choppy, low-probability conditions.
• 🔧 Fully Customizable — control everything from the 5 timeframes and all indicator settings ATR, RSI, MACD to the colors, lane widths, and table position.
• 🎯 Why this algo is unique: Standard indicators only give you one piece of the puzzle on a single timeframe. This algorithm forces three independent concepts—trend, momentum, and relative strength—to agree across five separate timeframes. It doesn't just show you a signal; it shows you the quality of the signal. When all 15 lanes light up with the same color, you are looking at institutional-grade trend alignment. When colors are mixed, it instantly warns you to stay out.
• 🚀 Apply to Gold (XAUUSD), Forex (EURUSD, GBPJPY), Crypto (BTCUSD, ETHUSD), and Indices (NASDAQ/NQ, S&P500/ES) on any timeframe. The fully configurable indicator settings allow it to adapt to anything from scalping to swing trading.
• 🎯 How to use this? Focus on trading opportunities when you see full alignment all 3 sub-lanes are the same color on your primary trading timeframe. For the highest-probability setups, wait for the Master Trend Signal to show STRONG or SUPER STRONG status, indicating that the majority of all 15 lanes are in agreement. Use moments of conflicting colors as a clear signal to stay out of the market and avoid chop.
• ⚠️ IMPORTANT NOTICE: This indicator is a powerful decision-support tool designed to provide a high-level overview of market confluence. It should NOT be used as a standalone signal for entering or exiting trades. Always use it in conjunction with your own trading strategy, price action analysis, and proper risk management to confirm trade setups. インジケーター
インジケーター
Market Bias MonitorMarket Bias Monitor (MTF EMA Consensus Bias)
The Market Bias Monitor is a multi-timeframe EMA-based bias indicator that helps traders quickly assess whether market structure is aligned bullish , bearish , or mixed across multiple timeframes.
It uses an EMA structure of 8 / 21 / 50 across 10 timeframes , then aggregates those results into a single consensus bias signal. This helps reduce subjective chart reading and supports a more systematic top-down workflow.
How It Works
For each monitored timeframe, the script checks whether price and EMAs are aligned in a bullish or bearish structure.
Bullish condition
Price is above EMA 21
EMA 8 > EMA 21
EMA 21 > EMA 50
Bearish condition
Price is below EMA 21
EMA 8 < EMA 21
EMA 21 < EMA 50
If neither condition is fully met, that timeframe is treated as neutral.
The script then counts how many timeframes are bullish vs bearish. When the number of aligned timeframes reaches the user-defined minimum threshold (default: 5 ), it displays an overall bias using a background highlight.
Bullish consensus -> Green background
Bearish consensus -> Red background
Monitored Timeframes
1W
1D
8H
6H
4H
3H
2H
1H
30M
15M
Key Features
Multi-timeframe bias engine ( 10 timeframes )
EMA consensus logic using 8 / 21 / 50
User-defined consensus threshold
Background bias highlight
Optional EMA overlay
Custom EMA colors and widths
Contrarian mode (reversed bias coloring)
Per-timeframe status table
Table/text color customization
Typical Use Cases
Directional filter (prefer longs in bullish consensus, shorts in bearish consensus)
MTF confirmation for lower-timeframe setups
Trend strength assessment based on timeframe agreement
Bias shift monitoring via consensus/table changes
Inputs
Minimum Timeframes for Consensus (default: `5`)
Show EMAs (toggle)
EMA Colors
EMA Widths
Contrarian Mode
Table / Text color customization
Notes
This indicator is designed as a bias and confirmation tool , not a standalone trading system. It works best when combined with price action, market structure, volume, and risk management.
Disclaimer
This script is for educational and analytical purposes only . It does not provide financial advice. Always use proper risk management. インジケーター
Uptrick: Volatility Aggregation ModelIntroduction
Uptrick: Volatility Aggregation Model (VAM) is a very simple overlay indicator that classifies market direction using a five-speed ensemble of volatility-adaptive range engines. Instead of relying on a single trend filter, VAM evaluates direction across multiple responsiveness settings and converts those states into a normalized score. The script then uses configurable score thresholds to define bullish, bearish, and neutral regimes, and it visualizes those regimes directly on the chart through candle recoloring and optional Up/Down labels.
Overview
VAM is built around an ensemble concept: five independent “speed” layers each determine a directional state by testing whether price breaks above or below a volatility-defined band. The five states are combined into a single score ranging from -1.0 (fully bearish across all speeds) to +1.0 (fully bullish across all speeds). This score is compared to user-defined buy and sell thresholds to determine regime. For visual context, the indicator also plots directional trail layers derived from the middle speed for stability, and can optionally fill the space between trail layers to make regime changes easier to spot at a glance.
Originality and value
This script’s originality comes from how it frames direction as a consensus problem rather than a single-indicator outcome. Each speed layer uses a volatility range defined from true range smoothing and applies a breakout-based state flip using upper and lower bands. Because the layers differ in lookback length, volatility scaling, band width, and smoothing, they respond differently to the same price movement. Aggregating them into a normalized score creates a compact, interpretable measure of directional agreement that can be tuned to be more selective or more permissive using thresholds. The result is a regime tool that is transparent, parameterized, and suitable for traders who want a directional filter that adapts to volatility and avoids treating all market conditions as equally “trendable.”
How it works
Start date gating
The script includes a start date filter that can be used to restrict when labels (and any signal interpretation) begin. Bars before the start date will still plot normally, but Up/Down labels are suppressed until the chart time is greater than or equal to the configured start date.
Five-speed volatility range engines
Each of the five speeds computes:
➜ A volatility measure based on true range (TR), smoothed with an EMA over the speed’s length, then scaled by a speed-specific volatility multiplier.
➜ An internal center line that “snaps” toward price only when price moves beyond the current volatility allowance. When price movement is smaller than the allowance, the center remains unchanged.
➜ Upper and lower bands around the center, spaced by the volatility allowance multiplied by a speed-specific band multiplier, then smoothed.
➜ A directional side state:
━━━━➤ Side flips bullish when source crosses above the upper band.
━━━━➤ Side flips bearish when source crosses below the lower band. This breakout-only flip logic is fixed in the script (no center-cross mode), so direction changes occur only when price breaks out of the band envelope.
Ensemble scoring
The five side states are summed and divided by 5 to produce a normalized ensemble score:
➜ +1.0 means all five speeds are bullish.
➜ -1.0 means all five speeds are bearish.
➜ Values between reflect partial agreement and mixed conditions.
The script then classifies the current regime using your thresholds:
➜ Bullish regime when score is greater than the buy threshold.
➜ Bearish regime when score is less than the sell threshold.
➜ Neutral regime otherwise.
Signals
Signals are generated from score crossing events:
➜ A buy signal occurs when the score crosses over the buy threshold.
➜ A sell signal occurs when the score crosses under the sell threshold.
These signals are used for labels (if enabled) and alert conditions. They are not strategy orders and do not simulate fills.
Visual system: trails, ATR layer, and fill
For stability, the trail structure is derived from the middle speed (Speed 3). The script computes smoothed lower and upper bands from Speed 3 as internal reference levels.
It then plots ATR-offset layers based on true range smoothed over the ATR Layer Length and scaled by the ATR Layer Mult. The bullish ATR layer is positioned below the Speed 3 lower band, and the bearish ATR layer is positioned above the Speed 3 upper band.
These ATR-offset layers are the primary visible trail elements. Optional fill appears between each reference band and its ATR layer only during the active bullish or bearish regime.
The script can optionally fill between the trail and ATR layer lines, but only in the corresponding regime:
➜ Bull fill appears only when the regime is bullish.
➜ Bear fill appears only when the regime is bearish.
Neutral conditions suppress the regime fill emphasis.
Candle recoloring
The indicator uses plotcandle to recolor candles based on the current regime:
➜ Bull color when bullish regime is active.
➜ Bear color when bearish regime is active.
➜ Neutral gray when neither threshold condition is met.
This makes regime identification possible without relying on separate panels.
Inputs and how to use them
Plot group
Start Date
Defines the earliest chart time at which labels and signal annotations are allowed. This is useful for limiting label clutter when reviewing long history or when you only want signals after a certain market regime, contract listing date, or personal testing period.
Ensemble group
Buy Threshold
A score level above which the script considers the market bullish. Higher values make bullish classification more selective because more of the five speeds must agree bullishly. Lower values allow bullish classification with weaker consensus.
Sell Threshold
A score level below which the script considers the market bearish. More negative values make bearish classification more selective. Values closer to zero will classify bearish regimes more readily.
Show Up/Down Labels
Toggles the display of directional labels on threshold cross events. When enabled, labels are only printed on bars at or after the Start Date, and only when score crosses the relevant threshold (not merely when it remains above or below).
Visuals group
Fill Between Trail Layers
Enables or disables the filled region between each trail and its ATR layer. When disabled, trail lines can still be visible (depending on the regime) but the emphasis fill is removed.
Trail Smooth
Controls EMA smoothing applied to the trail lines and their ATR-offset layers. Higher values produce smoother, slower-reacting trails; lower values make trails respond more quickly but can increase visual noise.
ATR Layer Length
Controls the EMA length used to smooth true range for the ATR-style layer. Larger values produce a steadier ATR layer; smaller values track volatility changes more quickly.
ATR Layer Mult
Scales the ATR layer offset distance from the trail. Increasing this value expands the buffer around the trail; decreasing it tightens the buffer.
Colors group
Bull
Sets the color used for bullish candles, bullish trail visuals, and bullish label styling.
Bear
Sets the color used for bearish candles, bearish trail visuals, and bearish label styling.
Neutral Gray
Sets the candle color used when the score is between thresholds (neutral regime).
5 Speeds group
Source
Chooses the price series used for band breakouts and side calculations (default close). Changing the source changes what the engines consider the breakout trigger. For example, using hl2 or ohlc4 can reduce sensitivity to closes alone, while using close keeps breakouts tied to settlement values.
Speed 1 Length, Speed 2 Length, Speed 3 Length, Speed 4 Length, Speed 5 Length
These define the EMA length used to smooth true range for each speed’s volatility allowance. Smaller lengths typically react faster to volatility changes; larger lengths smooth volatility more.
Speed 1 Vol Mult through Speed 5 Vol Mult
These scale the volatility allowance for each speed. Increasing a speed’s volatility multiplier makes its center and bands more tolerant to price movement, which can reduce how often that layer flips direction. Decreasing it tightens the allowance, potentially increasing flip frequency.
Speed 1 Band Mult through Speed 5 Band Mult
These control how far bands are placed from the center relative to the volatility allowance. Higher band multipliers widen bands (requiring larger breakouts to flip side). Lower band multipliers narrow bands (making flips easier to trigger).
Speed 1 Smooth through Speed 5 Smooth
These apply EMA smoothing to the volatility allowance and the band outputs for each speed. Higher smoothing reduces jitter and slows reaction; lower smoothing increases responsiveness.
Alerts
The script provides two alert conditions:
Ensemble Buy: triggers when the score crosses above the buy threshold.
Ensemble Sell: triggers when the score crosses below the sell threshold.
These alerts correspond directly to the label events (when labels are enabled), but alerts can be used independently of label visibility.
Trail
The trail in Uptrick: Volatility Aggregation Model (VAM) acts as a dynamic support and resistance band derived from the middle engine (Speed 3) for stability. In bullish regimes, the lower trail functions as volatility-adjusted support. During a long trade, stops can be positioned below this band, and pullbacks into the trail while the regime remains bullish may be treated as opportunities to add to the position.
In bearish regimes, the upper trail functions as volatility-adjusted resistance. During a short trade, stops can be placed above the band, and rallies back into the trail while the regime remains bearish may be considered potential add-on zones.
The trail is designed for trade management and structural guidance within the ensemble-defined regime, not as a standalone entry signal.
Summary
Uptrick: Volatility Aggregation Model (VAM) is a volatility-adaptive, five-speed ensemble direction indicator that converts multiple breakout-based range states into a single normalized score. You control regime sensitivity using buy/sell score thresholds, and you can visualize regimes through candle recoloring, optional labels, and trail layers derived from the middle speed plus an ATR-based buffer. The indicator is designed to help traders interpret directional agreement across multiple responsiveness settings and to mark regime transitions when score crosses the chosen thresholds.
Disclaimer
This indicator is for informational and educational purposes only and does not constitute financial advice. Trading involves risk, and you are responsible for your own decisions. Past performance and historical signals do not guarantee future results.
インジケーター
Adaptive Hull Momentum Ribbon [JOAT]Adaptive Hull Momentum Ribbon
Introduction
The Adaptive Hull Momentum Ribbon is an open-source trend-following indicator that combines a 5-layer Hull Moving Average (HMA) ribbon with EMA cloud analysis, key moving averages (SMA 50/200, EMA 200), crossover detection, and comprehensive trend strength analytics. This mashup creates a multi-layered trend identification system designed to show not just trend direction, but trend quality, alignment across multiple timeframes, and confluence between different moving average methodologies.
The indicator addresses a fundamental challenge in trend trading: single moving averages provide limited information about trend strength and quality. By layering five HMAs with different periods, adding an EMA cloud for short-term momentum, and tracking alignment with key institutional moving averages, this tool provides a complete picture of trend health that helps traders distinguish between strong trends worth following and weak trends likely to fail.
Chart showing 5-layer HMA ribbon, EMA cloud, and key MAs with trend dashboard on D timeframe
Why This Mashup Exists
This indicator combines four moving average frameworks that complement each other:
Hull Moving Average Ribbon: 5 HMAs (8, 13, 21, 34, 55) providing smooth, responsive trend indication
EMA Cloud: Fast (9) and Slow (21) EMAs showing short-term momentum
Key Institutional MAs: SMA 50, SMA 200, EMA 200 tracked by institutions globally
Crossover Detection: Golden Cross, Death Cross, and HMA crossovers
Each component serves a specific purpose: HMA Ribbon shows trend with minimal lag, EMA Cloud captures short-term momentum shifts, Key MAs provide institutional reference levels, and Crossovers signal major trend changes. Together, they create a comprehensive trend analysis system that shows both micro (HMA/EMA) and macro (SMA 50/200) trend structure.
The mashup is justified because these moving average types use fundamentally different calculations (weighted moving average with square root period for HMA, exponential weighting for EMA, simple average for SMA) that respond to price changes differently. When they align, it indicates genuine trend strength across multiple calculation methods and timeframes.
Core Components Explained
1. Hull Moving Average Ribbon System
HMA calculation provides smooth, responsive moving averages with reduced lag:
// Hull Moving Average formula
hullMA(src, length) =>
wma1 = ta.wma(src, length / 2)
wma2 = ta.wma(src, length)
ta.wma(2 * wma1 - wma2, int(math.sqrt(length)))
// 5-layer ribbon
hma8 = hullMA(close, 8) // Fastest, most responsive
hma13 = hullMA(close, 13)
hma21 = hullMA(close, 21) // Medium-term trend
hma34 = hullMA(close, 34)
hma55 = hullMA(close, 55) // Slowest, smoothest
HMA advantages over traditional MAs:
Significantly reduced lag compared to SMA/EMA
Smooth line without excessive whipsaws
Responsive to price changes while filtering noise
Square root period weighting provides optimal balance
Ribbon interpretation:
Full Bullish Alignment: HMA8 > HMA13 > HMA21 > HMA34 > HMA55 = strong uptrend
Full Bearish Alignment: HMA8 < HMA13 < HMA21 < HMA34 < HMA55 = strong downtrend
Mixed Alignment: HMAs crossing or intertwined = weak trend or consolidation
Ribbon Width: Wide ribbon = strong trend, narrow ribbon = weak trend
The indicator plots all 5 HMAs with gradient coloring (green to red) and fills between them to create visual ribbon effect.
2. EMA Cloud System
Fast and slow EMAs create a cloud showing short-term momentum:
emaFast = ta.ema(close, 9) // Short-term momentum
emaSlow = ta.ema(close, 21) // Medium-term trend
// Cloud color
emaCloudBullish = emaFast > emaSlow
emaCloudBearish = emaFast < emaSlow
EMA Cloud significance:
Fast EMA above Slow EMA = bullish momentum
Fast EMA below Slow EMA = bearish momentum
Cloud acts as dynamic support/resistance
Cloud thickness indicates momentum strength
Price above cloud = bullish, below cloud = bearish
The indicator fills the area between fast and slow EMAs with color based on direction (green for bullish, red for bearish).
3. Key Institutional Moving Averages
Three widely-watched institutional moving averages:
sma50 = ta.sma(close, 50) // Short-term institutional trend
sma200 = ta.sma(close, 200) // Long-term institutional trend
ema200 = ta.ema(close, 200) // Alternative long-term trend
// Golden Cross / Death Cross
goldenCross = sma50 > sma200 // Bullish long-term
deathCross = sma50 < sma200 // Bearish long-term
Key MA significance:
SMA 50: Short-term institutional trend, strong support/resistance
SMA 200: Most watched long-term trend indicator globally
EMA 200: More responsive alternative to SMA 200
Golden Cross: SMA 50 crosses above SMA 200 = major bullish signal
Death Cross: SMA 50 crosses below SMA 200 = major bearish signal
These MAs are plotted with distinct colors and act as major support/resistance levels.
4. Comprehensive Crossover Detection
The indicator detects multiple types of crossovers:
// Golden Cross / Death Cross (major signals)
goldenCross = ta.crossover(sma50, sma200)
deathCross = ta.crossunder(sma50, sma200)
// EMA Cloud crossovers (momentum shifts)
emaBullCross = ta.crossover(emaFast, emaSlow)
emaBearCross = ta.crossunder(emaFast, emaSlow)
// HMA fast crossovers (early trend changes)
hmaFastBullCross = ta.crossover(hma8, hma13)
hmaFastBearCross = ta.crossunder(hma8, hma13)
Crossover hierarchy:
Golden/Death Cross: Major long-term trend changes (rare, very significant)
EMA Crossovers: Medium-term momentum shifts (moderate frequency)
HMA Crossovers: Short-term trend changes (frequent, early signals)
The indicator marks crossovers with shapes: circles for Golden/Death Cross, triangles for EMA crossovers, diamonds for HMA crossovers.
5. Trend Strength Analytics
Comprehensive trend strength calculation:
// Calculate alignment score
alignmentScore = 0
alignmentScore := (close > hma8 ? 1 : -1) +
(close > hma13 ? 1 : -1) +
(close > hma21 ? 1 : -1) +
(close > hma34 ? 1 : -1) +
(close > hma55 ? 1 : -1) +
(close > emaFast ? 1 : -1) +
(close > emaSlow ? 1 : -1) +
(close > sma50 ? 1 : -1) +
(close > sma200 ? 1 : -1)
// Normalize to 0-100 scale
trendStrength = (alignmentScore + 9) / 18 * 100
Trend Strength interpretation:
75-100: STRONG BULL - price above all MAs, high-quality uptrend
55-74: BULL - price above most MAs, moderate uptrend
45-54: NEUTRAL - mixed signals, no clear trend
26-44: BEAR - price below most MAs, moderate downtrend
0-25: STRONG BEAR - price below all MAs, high-quality downtrend
Example showing full HMA alignment with 55% trend strength score
Confluence Scoring System
The indicator calculates a confluence score showing agreement between different MA systems:
Confluence Score Components:
- HMA Trend: +3 if full alignment, 0 if mixed, -3 if opposite
- EMA Cloud: +2 if bullish, -2 if bearish
- Price vs SMA 50: +1 if above, -1 if below
- Price vs SMA 200: +2 if above, -2 if below
- SMA 50 vs 200: +2 if golden cross, -2 if death cross
Total Range: -10 to +10
Confluence interpretation:
+8 to +10: STRONG confluence - all systems aligned bullish
+5 to +7: MODERATE confluence - most systems bullish
-4 to +4: WEAK confluence - mixed or conflicting signals
-7 to -5: MODERATE confluence - most systems bearish
-10 to -8: STRONG confluence - all systems aligned bearish
Enhanced Dashboard System
The dashboard (top-right position) displays 9 rows:
Row 1: MA System header
Row 2: Trend classification (STRONG BULL/BULL/NEUTRAL/BEAR/STRONG BEAR)
Row 3: Trend Strength percentage (0-100%)
Row 4: HMA Alignment status (Bullish/Bearish/Mixed)
Row 5: EMA Cloud status (Bullish/Bearish)
Row 6: Price vs 200 MA (Above/Below)
Row 7: 50 vs 200 MA (Golden/Death)
Row 8: Confluence score (-10 to +10)
Row 9: Confluence strength (STRONG/MODERATE/WEAK)
Dashboard showing trend metrics with color-coded confluence score
Visual Elements
HMA Ribbon: 5 HMA lines with gradient coloring (green to red) and fills between lines
EMA Cloud: Filled area between fast and slow EMAs with transparency
SMA 50: Blue line (short-term institutional trend)
SMA 200: Orange line (long-term institutional trend)
EMA 200: Purple line (alternative long-term trend)
Golden/Death Cross Markers: Large circles at major crossovers
EMA Cross Markers: Small triangles at EMA crossovers
HMA Cross Markers: Tiny diamonds at HMA crossovers
Dashboard: Comprehensive table with all trend metrics
How Components Work Together
The mashup creates layered trend analysis:
Layer 1 - Micro Trend: HMA 8/13 crossovers show earliest trend changes
Layer 2 - Short-Term Momentum: EMA cloud shows momentum direction
Layer 3 - Medium-Term Trend: HMA 21/34/55 ribbon shows established trend
Layer 4 - Institutional Trend: SMA 50/200 show long-term institutional bias
Layer 5 - Synthesis: Trend strength and confluence scores combine all layers
Example scenario: HMA 8 crosses above HMA 13 (Layer 1), EMA cloud turns bullish (Layer 2), all 5 HMAs align bullish (Layer 3), price is above SMA 50 and SMA 200 in golden cross (Layer 4). Trend strength reaches 92% and confluence score is +9 (Layer 5), signaling extremely strong uptrend with all systems aligned.
Input Parameters
HMA Ribbon Settings:
Show HMA Ribbon: Toggle ribbon display (default: enabled)
HMA 1 Length: Fastest HMA (default: 8)
HMA 2 Length: (default: 13)
HMA 3 Length: (default: 21)
HMA 4 Length: (default: 34)
HMA 5 Length: Slowest HMA (default: 55)
EMA Cloud Settings:
Show EMA Cloud: Toggle cloud display (default: enabled)
Fast EMA: Short-term EMA (default: 9)
Slow EMA: Medium-term EMA (default: 21)
Cloud Transparency: Adjust fill transparency (default: 85)
Key MA Settings:
Show SMA 50: Toggle SMA 50 (default: enabled)
Show SMA 200: Toggle SMA 200 (default: enabled)
Show EMA 200: Toggle EMA 200 (default: enabled)
Crossover Settings:
Show Crossovers: Toggle crossover markers (default: enabled)
Show Golden/Death Cross: Major crossovers (default: enabled)
Show EMA Crossovers: EMA cloud crossovers (default: enabled)
Show HMA Crossovers: HMA fast crossovers (default: enabled)
Display Options:
Show Trend Strength: Toggle dashboard (default: enabled)
Ribbon Transparency: Adjust HMA fill transparency (default: 70)
Dashboard Position: Top-right, top-left, etc.
Color Theme: Choose color scheme
How to Use This Indicator
Step 1: Check HMA Ribbon Alignment
Look for full alignment (all 5 HMAs in order). Full alignment indicates strong, high-quality trend worth following.
Step 2: Verify EMA Cloud Direction
Ensure EMA cloud supports HMA direction. Bullish HMA + bullish EMA cloud = strong confirmation.
Step 3: Check Key MA Position
Verify price is above SMA 50 and SMA 200 for long trades, below for short trades. Golden Cross adds significant bullish weight.
Step 4: Review Trend Strength
Check dashboard trend strength percentage. Above 70% indicates strong trend, below 40% suggests caution.
Step 5: Assess Confluence Score
Review confluence score. Scores above +7 indicate strong multi-system alignment. Scores near 0 suggest mixed signals.
Step 6: Watch for Crossovers
Monitor crossover markers. Golden/Death Cross are major signals. HMA crossovers provide early trend change warnings.
Best Practices
Use on 1-hour to daily timeframes for optimal trend identification
Full HMA alignment (5/5) produces highest-quality trend-following opportunities
EMA cloud acts as dynamic support/resistance - use for entry refinement
Golden Cross with full HMA alignment = extremely strong bullish setup
Trend strength above 80% suggests strong trend continuation potential
Confluence score above +8 indicates rare, high-probability trend alignment
HMA crossovers provide early warnings but confirm with other layers
Wide ribbon spacing indicates strong momentum, narrow spacing suggests consolidation
Combine with price action and key levels for precise entries
Indicator Limitations
Moving averages are lagging indicators - trends confirmed after they've started
HMA crossovers can produce false signals in choppy markets
Full alignment is rare - waiting only for perfect setups may miss opportunities
Trend strength can remain high even as trend is ending
Golden/Death Cross signals are very lagging (occur well after trend change)
Multiple MAs can clutter chart - adjust display settings as needed
Confluence score is mathematical calculation, not prediction
Strong trends can reverse suddenly despite high trend strength scores
Requires understanding of moving average concepts for effective use
Technical Implementation
Built with Pine Script v6 using:
Custom Hull Moving Average calculation with WMA and square root period
5-layer HMA ribbon with gradient fills
EMA cloud with dynamic coloring
Key institutional MA tracking (SMA 50/200, EMA 200)
Multiple crossover detection systems
Comprehensive trend strength algorithm
Confluence scoring with weighted components
9-row dashboard with real-time metrics
Alert conditions for all major crossovers
The code is fully open-source and can be modified to adjust MA periods, colors, and dashboard layout.
Originality Statement
This indicator is original in its multi-layer moving average integration approach. While individual components (HMA, EMA cloud, SMA 50/200, crossovers) are established tools, this mashup is justified because:
It combines three different MA calculation methods (HMA, EMA, SMA) that respond differently to price
5-layer HMA ribbon provides granular trend quality assessment
Trend strength algorithm quantifies alignment across all 9 moving averages
Confluence scoring shows agreement between different MA systems
Integration of micro (HMA/EMA) and macro (SMA 50/200) trend perspectives
Comprehensive dashboard presents complex multi-MA data clearly
Each MA type contributes unique information: HMAs provide responsive trend indication with minimal lag, EMAs show short-term momentum, and SMAs provide institutional reference levels. The mashup's value lies in showing when these different calculation methods align, indicating genuine trend strength across multiple mathematical approaches and timeframes.
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.
Moving averages are lagging indicators that confirm trends after they've begun. They do not predict future price movement. Strong trends can reverse suddenly, and high trend strength scores do not guarantee trend continuation. Golden Cross and Death Cross signals are very lagging and trends may be well-established before these signals occur.
The trend strength and confluence scores are mathematical calculations based on current MA positions, not predictions 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 インジケーター
CVD Optimal Entry HighlightsCVD Optimal Entry + Imbalance Alignment
Description:
This script is designed to highlight high-probability trade setups by combining advanced Cumulative Volume Delta (CVD) analysis, price acceptance and sequence detection, failed auction identification, and order flow imbalances. It integrates seamlessly with complementary AMT tools, providing both visual signals and alerts for traders looking to enter trends with structural and flow confirmation.
Core Concepts & Functionality:
CVD-Based Acceptance & Sequence Detection:
Tracks buying and selling delta per bar using volume-weighted calculations.
Identifies acceptance bars, where price shows initial directional commitment.
Detects sequence bars, which confirm that the initial move has follow-through.
By combining acceptance + sequence, the script filters out rotation or indecision phases, highlighting genuine trend opportunities.
Optimal Entry Highlights (OPT L / OPT S):
Flags potential long/short entries only when acceptance + sequence aligns with strong delta and FVG holding.
These entries are intended to maximize edge by aligning structure with momentum, reducing false entries in rotational markets.
Integration with AMT Orderflow Profile + Imbalance Highlight + Dashboard:
The script works best when confirmed with bin-based imbalances, as printed by the AMT Orderflow Profile script.
Only trades where a sequence occurs in the direction of a confirmed imbalance (BUY IMB or SELL IMB) are considered highest probability.
This ensures that market participant aggression aligns with your structural setup, increasing trade reliability.
Strong Delta Confirmation (CVD Flow Dashboard ):
Alerts for strong buying or selling delta are factored into optimal entry conditions.
This allows traders to filter trades to moments of genuine volume dominance, further enhancing probability.
Alerts & Automation:
Custom alerts can be set for:
Sequence Long / Sequence Short (from the All-in-One Ultra CVD + Failed Auction + Flow + Acceptance + Sequence indicator)
Strong Delta confirmations
Optimal entry occurrences (OPT L / OPT S)
Alerts ensure traders are notified only when structural, volume, and order flow conditions align, minimizing screen time and discretionary errors.
Trading Usage & Considerations:
Trend-phase trading: Enter trades when OPT L/OPT S aligns with sequence and imbalance; this is your high-probability zone.
Rotation avoidance: If sequence does not form after acceptance, the market is likely rotating; avoid forcing trend trades in these phases.
Imbalance alignment: Only act when the direction of the sequence matches confirmed BUY or SELL imbalances from the AMT Profile.
Multi-indicator synergy: Combining acceptance + sequence + strong delta + imbalance provides structural + flow confirmation, the core advantage of this system.
Visualization:
OPT L / OPT S markers plotted directly on bars.
Sequence bars can be highlighted with distinct colors to distinguish trending vs rotational phases.
Integration with AMT Orderflow Profile: Use the bin imbalance overlays to visually confirm trade alignment. インジケーター
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 インジケーター
