Instant Start EMA RibbonHave you noticed that EMAs on Tradingview start to appear on chart after the number of candles required by the EMA has fulfilled?
Example, 200 EMA shows up only when 200 candles have been printed on the canvas irrespective of the timeframe.
You might also have noticed that in some other charting software, the EMAs start from the very first candle of the instrument/asset class, a good example is a newly listed stock. And then the EMA automatically aligns itself once the amount of candles required by the EMA is fulfilled.
So if you want similar behavior of EMAs on Tradingview, you can use this "Instant Start EMA Ribbon" specifically coded in Pinescript to exactly and accurately mimic the behavior of EMAs like the other software. You can check that EMAs with this custom indicator start from the very first candles after listing of the instrument/asset class. This indicator will optimize the EMAs and work as a normal EMA once the amount of candles required are fulfilled, until then, it will use custom parameters to calculate the EMAs (that is the available current candle data).
Tip: You can change the values and colors of EMAs from the indicator settings.
Disclaimer/Warning: This indicator does not provide Buy/Sell signals or nor is an investment advice. This indicator solely for the purpose of study of price and Exponential Moving Averages. Users are responsible for their own actions, profit/loss of the users is not the liability of author.
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Peace of Mind Trader: MA Trend SystemPeace of Mind Trader: MA Trend System
ระบบนี้ถูกออกแบบมาเพื่อให้การดูเทรนด์เป็นเรื่องง่ายและ "สบายใจ" ที่สุด (Peace of Mind) โดยลดความซับซ้อนของการตีเส้นกราฟ ช่วยให้คุณโฟกัสกับภาพใหญ่ของตลาดได้ทันที ด้วยหลักการ EMA Cross ที่เรียบง่ายแต่ทรงพลัง
ฟีเจอร์หลัก:
- Trend Ribbon (แถบสีบอกเทรนด์): แสดงพื้นที่ระบายสีระหว่างเส้น EMA สองเส้น เปลี่ยนสีเขียว/แดงตามแนวโน้ม ช่วยให้มองแวบเดียวก็รู้ว่าตลาดเป็นขาขึ้นหรือขาลง
- สัญญาณซื้อขายที่ชัดเจน:
ขึ้นป้าย "🟢 BULL" เมื่อเริ่มเข้าสู่เทรนด์ขาขึ้น
ขึ้นป้าย "🔴 BEAR" เมื่อเริ่มเข้าสู่เทรนด์ขาลง
- พิเศษ: มีฟังก์ชัน "Show Signal History" สามารถเลือกปิดประวัติเก่าๆ เพื่อให้โชว์แค่ "สัญญาณล่าสุด" เพียงอันเดียวได้ (ทำให้กราฟสะอาดตามาก)
- Dashboard สถานะ: ตารางสรุปมุมขวาล่าง (ปรับตำแหน่งได้) บอกสถานะปัจจุบันทันทีว่าควร Buy หรือ Sell
- เปลี่ยนสีแท่งเทียนอัตโนมัติ: ระบบจะย้อมสีแท่งเทียนให้เป็นสีเขียว/แดงตามเทรนด์ เพื่อลดความสับสนช่วงที่กราฟย่อตัว
วิธีใช้งาน:
🟢 โซนสีเขียว: โฟกัสหน้า Buy หรือถือรันเทรนด์ต่อไป
🔴 โซนสีแดง: โฟกัสหน้า Sell หรือถือเงินสดรอจังหวะ
การตั้งค่า: สามารถปรับค่า EMA และสีต่างๆ ได้ตามสไตล์การเทรดของคุณ
ขอให้มีความสุขกับการเทรดแบบ Peace of Mind ครับ
พีร์ Peace of Mind Trader
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English Description
Peace of Mind Trader: MA Trend System
This indicator is designed to simplify your trading routine by visualizing the market trend clearly and effectively. Built on the classic logic of Moving Average crossovers (EMA), it helps you stay on the right side of the market without the noise.
Key Features:
Trend Ribbon: A visual fill between the Fast and Slow EMA that changes color based on the trend (Green for Bullish, Red for Bearish). This makes it easy to spot the strength and direction of the trend at a glance.
Clear Buy/Sell Signals:
Displays "🟢 BULL" labels when the Fast EMA crosses above the Slow EMA.
Displays "🔴 BEAR" labels when the Fast EMA crosses below the Slow EMA.
New Feature: You can toggle "Show Signal History". Uncheck this option to keep your chart clean by showing only the latest active signal.
Status Dashboard: A customizable panel on the chart (position adjustable) that tells you the current market status immediately (BULL or BEAR).
Trend-Colored Candles: Automatically colors the candlesticks to match the trend, helping you filter out noise during corrections.
How to Use:
Green Zone (Bullish): Look for buying opportunities or hold your position (Run Trend).
Red Zone (Bearish): Look for selling opportunities or stay in cash.
Settings: You can adjust the EMA lengths and all visual colors to fit your personal trading style.
Trade with Logic, Profit with Peace.
Signals, Emas Bahena Indicator: Emas Bahena Signals
This indicator uses three Exponential Moving Averages (EMAs) to identify buy and sell entries based on crossovers and trend.
🔹 EMAs used
EMA 9 → fast (signals)
EMA 21 → intermediate (confirmation)
EMA 85 → slow (main trend)
🟢 BUY Signal
Generated when:
The EMA 9 crosses above the EMA 21
The EMA 9 is above the EMA 85 ➡️ Indicates the start of an uptrend
🔴 SELL Signal
Generated when:
The EMA 9 crosses below the EMA 21
The EMA 9 is below the EMA 85 ➡️ Indicates the start of a downtrend
📌 Visualization
EMAs drawn on the chart
BUY arrow below the price
SELL arrow above the price
Compatible with TradingView alerts
⚠️ Recommendation
Works best in trending markets and on medium and high timeframes (15m, 1H, 4H)
Ultimate Pattern Engine - Elite Suite v54Here's the description I wrote for your Pine Script publication:
Ultimate Pattern Engine - Elite Suite v54
A comprehensive technical analysis tool combining multiple pattern recognition algorithms and indicators in one powerful suite.
Pattern Recognition:
Head & Shoulders patterns with automatic neckline detection
Bull and Bear flag formations
9-count sequential patterns
Breakout pattern detection with alerts
Support/Resistance zones with dynamic S/R levels
Reversal cloud visualization
Moving Averages:
Multiple Simple Moving Averages (SMA) - 9, 50, 200 periods
Exponential Moving Averages (EMA) with customizable lengths
Color-coded for easy trend identification
Visual Features:
Pattern fill areas for clear visualization
Breakout labels showing price action
Customizable color schemes (bullish green, bearish red, neutral gray)
H&S neckline highlighting
Volume multiplier analysis
Configuration:
Adjustable sensitivity and flatness thresholds
Toggle individual patterns on/off
Customizable moving average periods and colors
Full control over visual elements
Ideal for traders looking to identify key chart patterns, trend reversals, and breakout opportunities across all timeframes.
Neural Trend Engine [JOAT]Neural Trend Engine - Multi-Layer Adaptive Trend Detection
Neural Trend Engine uses a multi-layer filtering approach inspired by neural network concepts. It combines multiple adaptive moving averages with proprietary momentum and volatility weighting to generate trend signals with reduced lag and improved confidence scoring.
Why This Script is Protected
This script is published as closed-source to protect the proprietary signal composition algorithm and the specific weighting methodology from unauthorized republishing. The unique combination of adaptive layer calculations, momentum normalization, and volatility integration represents original work that goes beyond standard indicator implementations.
What Makes This Indicator Unique
Unlike simple moving average crossover systems, Neural Trend Engine:
Uses three Kaufman Adaptive Moving Averages (KAMA) that automatically adjust their smoothing based on market efficiency
Combines layer alignment, momentum, and volatility into a single "neural signal"
Provides signal strength percentages so you know the conviction level of each signal
Creates a visual trend cloud that makes direction immediately obvious
What This Indicator Does
Plots three adaptive moving average "layers" that respond dynamically to market efficiency
Creates a trend cloud between fast and slow layers for visual trend identification
Generates weighted composite signals from layer alignment, momentum, and volatility
Displays buy/sell labels with signal strength percentages
Provides a comprehensive dashboard with multi-component breakdown
Colors the neural line and cloud based on current trend direction
Core Methodology
The indicator employs a three-layer adaptive system where each layer responds to market conditions at different speeds:
Fast Layer (default: 8) — Quick response for short-term direction changes
Medium Layer (default: 21) — Intermediate trend reference
Slow Layer (default: 55) — Long-term trend anchor
Each layer uses efficiency-based adaptation, meaning they become more responsive during trending conditions and smoother during choppy markets.
The neural signal is a proprietary composite that weighs three distinct market components:
Momentum Component (default: 40%) — Measures directional price velocity, normalized to its recent range
Trend Component (default: 35%) — Evaluates alignment between the three adaptive layers
Volatility Component (default: 25%) — Incorporates market volatility state into signal generation
These components are combined using a weighted formula that has been calibrated to balance responsiveness with noise reduction.
Signal Generation
Direction changes occur when the smoothed neural signal crosses a configurable strength threshold:
Bullish — Signal exceeds positive threshold with layer alignment confirmation
Bearish — Signal drops below negative threshold with layer alignment confirmation
Neutral — Signal remains within threshold range, indicating consolidation
Signal strength percentages indicate the conviction level of each signal, helping traders assess trade quality. Higher percentages suggest stronger trend conviction.
Visual Features
Trend Cloud — Filled area between fast and slow layers, colored by trend direction
Neural Line with Glow — Weighted average of all three layers with glow effect
Medium Layer — Subtle white line showing intermediate trend
Signal Labels — BUY/SELL labels with strength percentages at signal points
Small Markers — Alternative triangle markers when labels are disabled
Color Scheme
Bullish Color — Default: #26A69A (teal green) — Used for bullish trends and signals
Bearish Color — Default: #EF5350 (red) — Used for bearish trends and signals
Cloud Fill — 85% transparent version of trend color
Neural Line Glow — 60% transparent version for glow effect
Dashboard Information
The on-chart table (top-right corner) displays:
Current direction (BULLISH, BEARISH, or NEUTRAL)
Neural signal percentage
Layer alignment status (ALIGNED UP, ALIGNED DOWN, or MIXED)
Momentum direction and percentage
Trend strength percentage
Inputs Overview
Neural Layers:
Fast Layer — Period for fast adaptive MA (default: 8, range: 2-50)
Medium Layer — Period for medium adaptive MA (default: 21, range: 5-100)
Slow Layer — Period for slow adaptive MA (default: 55, range: 10-200)
Source — Price source for calculations (default: close)
Sensitivity:
Momentum Weight — Weight for momentum component (default: 0.4)
Trend Weight — Weight for trend/layer alignment (default: 0.35)
Volatility Weight — Weight for volatility component (default: 0.25)
ATR Period — Period for volatility calculations (default: 14)
Visual Settings:
Bullish/Bearish Colors — Customizable color scheme
Show Trend Cloud — Toggle the filled cloud area
Show Signal Labels — Toggle BUY/SELL labels with percentages
Show Neural Line — Toggle the main trend line
Show Dashboard — Toggle the information table
Alerts:
Await Bar Confirmation — Wait for bar close before triggering (recommended)
Min Signal Strength — Threshold for direction changes (default: 0.3 = 30%)
How to Use It
For Trend Following:
Follow the trend cloud color for overall market direction
Enter long when cloud turns bullish (teal) and signal strength is high
Enter short when cloud turns bearish (red) and signal strength is high
Use the neural line as a trailing stop reference
For Signal Trading:
Wait for BUY/SELL labels to appear
Check the signal strength percentage—higher is better
Confirm with dashboard showing aligned layers
Avoid signals during MIXED layer alignment
For Confirmation:
Use Neural Trend Engine to confirm signals from other systems
Strong confirmation when all three layers are aligned
Dashboard shows momentum and trend strength for additional context
Alerts Available
NTE Buy Signal — Bullish direction change detected
NTE Sell Signal — Bearish direction change detected
NTE Direction Change — Any trend direction change
Best Practices
Higher signal strength percentages indicate more reliable signals
Wait for layer alignment (shown in dashboard) before entering trades
Use on higher timeframes for more reliable trend identification
Combine with support/resistance levels for entry timing
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
Scaled SMAs + Bollinger BandsScales another symbol's SMAs to the price of the symbol on the chart you are trading.
FL Core Signals Only 4AM 4PMFL Core – Signals Only is a confirmation-based trading indicator designed to highlight structured entry and exit points during active market hours.
This script is not predictive and does not generate trade recommendations. It provides visual confirmation only after conditions are met and candles are closed.
Core characteristics:
• Signals are limited to 4:00 AM – 4:00 PM (exchange time)
• Designed for lower timeframes (1–5 minute charts)
• No indicator clutter — entries, exits, and profit target references only
• Logic is based on trend alignment and momentum confirmation
• Customizable profit target distances for different instruments
This indicator is intended for experienced traders who already understand risk management and execution. Users are responsible for their own trade decisions.
This is not an indicator you trade into.
It is a confirmation system you wait for.
Past performance does not guarantee future results.
SMC Confluence Suite [Pure Score Alerts]🚀 The Missing Link in SMC Trading: Timing & Confluence
Knowing "Where" to trade (Order Blocks/FVG) is only half the battle. Knowing "When" to pull the trigger is what separates amateurs from professionals.
The SMC Confluence Suite is a sophisticated Market Scoring Engine designed to validate your trade setups. It acts as a "Market Weather Station," analyzing Structure, Momentum, Extension, and Volatility in real-time to generate a single Confidence Score (0-100).
🧠 How It Works (The Logic)
This indicator processes 5 key dimensions to calculate a Long and Short Score:
Structure: Is the trend Bullish, Bearish, or in a Pullback?
Momentum: Analyzes RSI and divergence (Bull/Bear Div).
Extension (The Dux Logic): Detects if price is "Parabolic" (Overheated) or at a "Discount". It prevents FOMO buying at the top.
Rotation: Analyzes Volume Churn. Is the volume supporting the move, or is it stalling (distribution)?
Mood: A synthesis of market sentiment (Greed vs. Fear).
📊 The Dashboard
Long/Short Score:
> 80 (Aggressive 🚀): Market is priming for a strong move (Setup B / Unicorn).
60 - 80 (Standard ✅): Healthy trend, safe for Pullbacks (Setup C / Golden Swing).
< 40 (No Entry ⛔): Weak market or dangerous conditions.
Warning Flags:
PARABOLIC 🔥: Price moved too fast. Score resets to 0 to prevent chasing.
HIGH CHURN 🌪️: High volume but no price movement. Potential reversal.
✨ Key Features in V8.1
Score Trace (History): See historical scores printed directly on the chart (above/below candles). This allows you to backtest: "Did my winning trade have a high score?"
Asset Modes: optimized settings for Crypto, Stocks, and Metals (Gold/Silver).
Pure Alerts: Simplified alert system. Get notified only when Score > 80 (The "Sniper" moment).
💡 How to Trade (The Strategy)
Use this script alongside an SMC Structure indicator (like the SMC Strategy Companion).
Setup B (Breakout): Requires Score > 80 + High Volatility.
Setup C (Pullback): Requires Score > 60 + No "Parabolic" warning.
Kill Switch: If the Dashboard shows "PARABOLIC" or "CHURN", cancel all entries immediately.
Su Shen Comprehensive Trading System V2.0Su Shen Comprehensive Trading System V2.0
Su Shen Comprehensive Trading System is an intelligent trading assistant indicator that integrates multiple technical analysis tools. This system provides a comprehensive market perspective by combining multi-timeframe trend analysis, key level identification, and intelligent trading signals.
Core Features
Multi-dimensional Trend Analysis: Analyzes market trends across multiple timeframes simultaneously
Intelligent Trading Signals: Automatically identifies potential entry, take-profit, and exit opportunities
Key Level Identification: Marks important support and resistance zones
Risk Alerts: Indicates current risk level based on market conditions
Applicable Scenarios
Day trading
Swing trading
Trend following
How to Use
After adding the indicator to your chart, the system will automatically display analysis results and trading signals. Users can refer to these signals in conjunction with their own trading strategies.
Val FXIndicator combining 3 moving averages (SMA/EMA selectable) and Bollinger Bands. Default lengths: 20, 50, 200. All parameters are customizable.
phoenix liquidity candle Ema V.1.1This indicator is designed to identify session-based range boxes across different trading sessions, helping traders clearly visualize market structure and consolidation zones during active market hours.
The script automatically detects price ranges within each session, allowing traders to understand where liquidity is building and where potential breakouts or rejections may occur.
Additionally, the indicator includes EMA 9 and EMA 11, providing short-term trend guidance and momentum confirmation when price interacts with session ranges.
Key Features:
• Automatic Session Range Box detection
• Clear visualization of session highs and lows
• Integrated EMA 9 & EMA 11
• Useful for scalping, intraday, and session-based strategies
• Designed for clean charts and decision support (not signal-based)
This tool is intended to assist traders in understanding market behavior during sessions, not to provide buy or sell signals.
EMA 50 Cross Alert“You can set an alert when price crosses the EMA, and you can also choose which EMA length you want to use.”
Kijun Equilibria [by Oberlunar]The “story” starts with Ichimoku Kinkō Hyō, created by the Japanese journalist Goichi Hosoda in the 1930s and published in the 1960s; its literal meaning is often rendered as a “one-glance equilibrium chart” because it aims to show balance, trend direction, and dynamic support/resistance at a glance.
In that tradition, the Kijun-sen (“base line”) is not just a moving average: it is a reference equilibrium level, classically computed as the midpoint of the high–low range over 26 periods.
Kijun Equilibria keeps that Japanese “equilibrium” idea, but modernises it in two ways. First, it turns the Kijun concept into an adaptive equilibrium line: instead of assuming a fixed market tempo (like the classic 26), it estimates a dominant cycle length using an Ehlers-style Hilbert/cycle approach, then scales internal lengths and smoothers so the equilibrium line responds differently in trending vs choppy regimes.
Second, it makes equilibrium explicitly multi-timeframe: you compute the adaptive Kijun on the chart TF (in this example 30 m) plus three lower TFs (in this example 1, 3, 5 m), then build a “cloud” between the highest and lowest of those equilibria, which becomes a practical map of where timeframes disagree and where price is most likely to “snap back” toward balance.
Bearish bias
This is a signal that the trend may shift into a bearish bias.
Due to this graphical setup, “cloud fog” is a meaningful meta-word here. In classic Ichimoku, the thickness and shape of the cloud provide a visual way to reason about strength and uncertainty.
In my indicator, the “cloud fog fills” reinterpret that same visual principle, but instead of Senkou spans, they shade the space between equilibria across timeframes, making dispersion (and compression) immediately visible.
The Ornstein–Uhlenbeck part then adds a quantitative “pullback detector” that fits the Ichimoku philosophy rather than replacing it. OU was introduced by Ornstein and Uhlenbeck as a mean-reverting stochastic process; in modern terms, it is a canonical model for a variable that is continuously pulled back toward a mean.
Bullish bias
In this case, we have a bullish bias, and the pullback detector based on Ornstein–Uhlenbeck mean-reversion calculations has signalled that the price is re-entering the green cloud, suggesting a potential bullish continuation after the bounce.
In my indicator, the mean is not an arbitrary moving average: it is the Kijun equilibrium itself. I apply OU to the deviation x = price − kijun, estimate a reversion strength (κ/kappa), and convert the deviation into a z-like score.
The result is very “Japanese” in spirit: the model isn’t saying “price is random”; it’s saying “price departs from balance, but balance pulls back”, and you only trust that pullback when κ is strong enough and the deviation is meaningfully stretched.
Bearish bias and Pull-Back idea
In this case, there are multiple pullbacks that may offer short opportunities, but eventually price breaks strongly through the TF baseline—at that point, it’s time to stop treating the trend as bearish-biased.
Finally, ATR is the glue that makes the bias logic practical and comparable across regimes. ATR (popularised by J. Welles Wilder in 1978) is fundamentally a volatility yardstick. Here it becomes, coupled with biased signals, the unit of measure for everything that should scale with volatility: how far price must be outside the cloud to count as “stretched”, how much spacing you require between stacked Kijuns to accept a true long/short bias, and even how far above/below price you place bias labels. In other words, the “Long Bias / Short Bias” is not just alignment across timeframes; it is alignment with enough ATR-separated structure to reduce false signals when all lines are compressed.
This isn’t one of the most advanced tools in my collection, but it can help newcomers. Be careful: despite the safeguards added, it may or may not produce consistently reliable signals. Risk management is central.
However, given its history, I wanted it to be part of my own collection of scripts with my personal mods, and I’m releasing it for free to the community.
by Oberlunar 👁★
Early Trend Warning Using MTF AnalysisAs an active trader and software professional, I build my own indicators. I built this one today which I want to share with fellow traders.
If you are a trend trader then HTF/MTF analysis is very critical. It is virtually impossible to constantly track multiple tickers all the time. One should not take a buy trade when MTF is bearish and vice versa. This indicator solves this problem.
The EMA Trend Warning indicator helps traders detect potential trend changes early by analyzing price interactions with multi-timeframe Exponential Moving Averages (EMAs) and their momentum. It sends instant alerts when price crosses above or below EMAs with supporting momentum, making it easier to capture bullish or bearish moves.
The EMA Trend Warning indicator detects potential trend changes by monitoring price against 14-period EMAs on multiple timeframes: 15-minute, 30-minute, and 1-hour charts. It sends alerts when the price crosses above or below the EMA with supporting momentum, helping traders identify early bullish or bearish signals.
How It Works:
1. Calculates 14-period EMA on 15m, 30m, and 1H charts.
2. Computes EMA slopes to determine momentum direction.
3. BUY alert triggers when price crosses above the 15m EMA and at least one EMA slope is upward.
4. SELL alert triggers when price crosses below the 15m EMA and at least one EMA slope is downward.
5. Alerts fire once per bar and track previous state to avoid repeated notifications.
Features:
1. Multi-timeframe EMA monitoring.
2. Momentum confirmation with EMA slopes.
3. Instant BUY/SELL alerts.
4. Tracks previous trend state to prevent alert spam.
Benefits:
1. Detects trend changes early for better entry timing.
2. Confirms trend across multiple timeframes.
3. Saves time with automated alerts.
4. Helps traders align trades with market momentum.
Please consider this indicator as EARLY WARNING ONLY. Take trade based on multiple confluences post receiving any warning. I have tested it on BTCUSD since yesterday, multiple warning alerts were 100% perfect.
Multi-Fractal Trading Plan [Gemini] v22Multi-Fractal Trading Plan
The Multi-Fractal Trading Plan is a quantitative market structure engine designed to filter noise and generate actionable daily strategies. Unlike standard auto-trendline indicators that clutter charts with irrelevant data, this system utilizes Fractal Geometry to categorize market liquidity into three institutional layers: Minor (Intraday), Medium (Swing), and Major (Institutional).
This tool functions as a Strategic Advisor, not just a drawing tool. It calculates the delta between price and structural pivots in real-time, alerting you when price enters high-probability "Hot Zones" and generating a live trading plan on your dashboard.
Core Features
1. Three-Tier Fractal Engine The algorithm tracks 15 distinct fractal lengths simultaneously, aggregating them into a clean hierarchy:
Minor Structure (Thin Lines): Captures high-frequency volatility for scalping.
Medium Structure (Medium Lines): Identifies significant swing points and intermediate targets.
Major Structure (Thick Lines): Maps the "Institutional" defense lines where trend reversals and major breakouts occur.
2. The Strategic Dashboard A dynamic data panel in the bottom-right eliminates analysis paralysis:
Floor & Ceiling Targets: Displays the precise price levels of the nearest Support and Resistance.
AI Logic Output: The script analyzes market conditions to generate a specific command, such as "WATCH FOR BREAKOUT", "Near Lows (Look Long?)", or "WAIT (No Setup)".
3. "Hot Zone" Detection Never miss a critical test of structure.
Dynamic Alerting: When price trades within 1% (adjustable) of a Major Trend Line, the indicator’s labels turn Bright Yellow and flash a warning (e.g., "⚠️ WATCH: MAJOR RES").
Focus: This visual cue highlights the exact moment execution is required, reducing screen fatigue.
4. The Quant Web & Markers
Pivot Validation: Deep blue fractal markers (▲/▼) identify the exact candles responsible for the structure.
Inter-Timeframe Web: Faint dotted lines connect Minor pivots directly to Major pivots, visualizing the "hidden" elasticity between short-term noise and long-term trend anchors.
5. Enterprise Stability Engine Engineered to solve the "Vertical Line" and "1970 Epoch" glitches common in Pine Script trend indicators. This engine is optimized for Futures (NQ/ES), Forex, and Crypto, ensuring stability across all timeframes (including gaps on ETH/RTH charts).
Operational Guide
Consult the Dashboard: Before executing, check the "Strategy" output. If it says "WAIT", the market is in chop. If it says "WATCH FOR BOUNCE", prepare your entry criteria.
Monitor Hot Zones: A Yellow Label indicates price is testing a major liquidity level. This is your signal to watch for a rejection wick or a high-volume breakout.
Utilize the Web: Use the faint web lines to find "confluence" where a short-term pullback aligns with a long-term trend line.
Configuration
Show History: Toggles "Ghost Lines" (Blue) to display historical structure and broken trends.
Fractal Points: Toggles the geometric pivot markers.
Hot Zone %: Adjusts the sensitivity of the Yellow Warning system (Default: 1%).
Max Line Length: A noise filter that removes stale or "spiderweb" lines that are no longer statistically relevant.
VWAP TOOL KIT (RyanTradesES)VWAP TOOL KIT — RyanTradesES
The VWAP Tool Kit is a session-aware, intraday market structure indicator designed for futures and active index traders who rely on VWAP, opening range behavior, and RTH context to frame high-probability trades.
This tool consolidates multiple VWAP regimes, key session levels, and adaptive EMA smoothing into a single, clean overlay—removing the need to stack multiple indicators or scripts.
Core Features
Opening Range (9:30–9:45 NY)
Automatically tracks and shades the Opening Range
Extends through RTH to provide a clear structural reference
Rendered behind price for clarity (non-intrusive)
VWAP Suite
Overnight VWAP (resets at 6:00 PM NY)
24-Hour NY VWAP (resets at 9:30 AM NY)
Previous Day NY VWAP (calculated from prior RTH)
Anchored VWAP with manual date/time control
Each VWAP can be independently enabled, styled, and sourced.
RTH High / Low
Tracks Regular Trading Hours (9:30–16:00 NY)
Updates dynamically and resets daily
Useful for range expansion, rejection, and bias confirmation
EMA + Advanced Smoothing
Base EMA with adjustable length, source, and offset
Optional EMA-based smoothing layer:
SMA
EMA
RMA (SMMA)
WMA
VWMA
SMA + Bollinger Bands
Bollinger Bands adapt directly to EMA behavior, not raw price
Legend / HUD
Compact, auto-updating legend in the chart corner
Displays only active modules
Fully optional and customizable
Design Philosophy
This indicator is built for clarity and context, not signals.
It is meant to help traders:
Identify VWAP acceptance vs rejection
Frame bias using session structure
Align EMA behavior with VWAP positioning
Reduce chart clutter while increasing information density
All components are modular—use everything, or only what fits your strategy.
Recommended Use
Intraday futures (ES, NQ, RTY, YM)
VWAP-based mean reversion and trend continuation
Opening range and RTH structure trading
Discretionary or rules-based execution
Notes
Times are calculated using New York session logic
This indicator does not generate trade signals
Designed for educational and analytical use
How I Personally Use This
I use this tool primarily for context, not entries. My focus is on how price behaves around the Overnight VWAP, 24H NY VWAP, and Previous Day VWAP during the first part of RTH. I pay close attention to whether price is accepting above or below VWAPs rather than crossing them. The Opening Range gives me an early framework for volatility and directional intent, while RTH High/Low helps me stay aware of where price is expanding versus stalling. The EMA and smoothing layer are used to judge momentum quality—when EMA structure aligns with VWAP positioning, I’m more interested; when they diverge, I’m more patient.
Example Framework (Not Trade Advice)
One way this indicator can be used is by observing price behavior after the Opening Range is set. If price holds above the Overnight and 24H VWAPs and the EMA structure remains supportive, that suggests stronger acceptance during RTH. In contrast, repeated failure to reclaim VWAP levels while EMA smoothing rolls over may indicate weakening participation. Anchored VWAP can be used to measure response around specific events such as session opens, highs/lows, or high-volume turns. This framework is intended to help structure decisions, not automate them.
Anchored VWAP - BlackdeltaVolume Weighted Average Price that resets at configurable periods (Session, Week, Month, or Year). Calculates VWAP from the typical price (HLC3) weighted by volume, then resets at the start of each selected period. Handles overnight sessions and multiple timeframes. Useful for identifying fair value and support/resistance levels over different time horizons.
SterlCore FX Matrix [JOAT]
SterlCore FX Matrix is a multi-timeframe forex indicator that integrates market structure analysis, central bank policy proxies, currency strength correlation, session-based liquidity tracking, and volatility diagnostics into a single overlay system.
Note: This script is published as invite-only. Access requires authorization through the script's access control settings.
Why Invite-Only: The source code is protected to preserve proprietary calculation methods, composite scoring algorithms, and multi-module integration logic. The indicator combines several analytical approaches in a specific configuration that represents significant development effort. Invite-only access allows controlled distribution while maintaining the integrity of the implementation.
This Script has so much custom settings you can choose upon, to make it even more organized and tailored to your needs!
Custom settings with HeatMap and signals tailored to the daily timeframe and currency pair
## Core Functionality
This indicator addresses the challenge of synthesizing multiple analytical dimensions in forex trading. Currency markets operate across multiple timeframes simultaneously, with central bank policy shifts, cross-pair correlations, and session-specific liquidity patterns all influencing price action. Most indicators focus on a single dimension; this script attempts to integrate several.
What This Script Does:
Multi-timeframe structure analysis using synchronized EMAs across strategic (daily), tactical (4-hour), and execution (hourly) timeframes
Central bank policy pressure assessment through normalized currency index proxies
Real-time currency strength matrix tracking eight major currencies (USD, EUR, GBP, JPY, AUD, CAD, CHF, NZD)
Cross-pair correlation monitoring using configurable reference pairs
Session-based VWAP calculations with drift and range metrics for Asia, Europe, and US trading windows
Market structure detection including break-of-structure (BOS) confirmation, liquidity sweep identification, and RSI-based divergence alerts
Composite macro confluence score combining all modules with configurable weights
---
## Technical Architecture
### Multi-Timeframe Structure Lattice
The indicator calculates exponential moving averages (EMAs) across three timeframes:
Strategic EMA (default: Daily timeframe, 96-period EMA) — Anchors to longer-term monetary drift and macro flows
Tactical EMA (default: 4-hour timeframe, 55-period EMA) — Captures rotational pressure during positioning for economic data or policy events
Execution EMA (default: 1-hour timeframe, 21-period EMA) — Tracks microstructure in real time
An adaptive ATR-based channel surrounds the execution EMA to define a "value corridor" for entry consideration. Break-of-structure (BOS) logic requires price to close beyond prior swing highs/lows by a configurable ATR percentage threshold to reduce false breakouts.
### Policy Gradient & Carry Intelligence
The script uses currency index proxies (defaults: FX_IDC:EURUSD and FX_IDC:USDJPY ) to approximate central bank policy pressure. These proxies are smoothed via EMA and normalized over a lookback period.
The carryComposite calculation blends:
Normalized policy spread between base and quote currency proxies
Policy drift (difference between tactical and macro timeframe policy spreads)
Carry acceleration (rate of change in policy spread)
Carry opportunity signals appear when the composite exceeds a threshold and aligns with structure bias and currency strength dispersion.
### Currency Strength Matrix
Eight currency baskets are tracked using configurable symbol inputs (defaults use $FX_IDC pairs). Each currency's strength is normalized to a -1 to +1 scale relative to its lookback range. The heatmap table displays which currencies are dominating, allowing quick assessment of broad market moves before they appear in individual pair price action.
### Correlation Intelligence Grid
Three reference pairs (defaults: FX_IDC:EURUSD , FX_IDC:GBPUSD , FX_IDC:USDJPY ) are monitored on a higher timeframe. The script calculates correlation coefficients and assigns qualitative descriptors: "Lockstep +", "Aligned +", "Loose", "Aligned -", or "Lockstep -". A correlation consensus value feeds into the macro confluence calculation, dampening signals when reference pairs show conflicting behavior.
### Momentum, Volatility & Liquidity Stack
Dual ROC momentum — Fast and slow rate-of-change calculations prevent whipsaw from single-length oscillators
Volatility pulse — Compares current ATR to a slower baseline; signals require volatility above a floor threshold
Volatility forecast slope — Uses linear regression to project ATR 21 bars ahead, warning of imminent expansion or contraction
Liquidity pulse — Compares current volume to smoothed average; low participation is visually indicated via background tinting
### Session Awareness & Performance Console
Asia, Europe, and US trading sessions are tracked with configurable UTC windows. Each session maintains:
Live VWAP that resets at session open
Drift score quantifying price deviation from VWAP in ATR terms
Range percentage showing session expansion relative to VWAP
Session bias composite feeds into macro confluence to reduce signal aggression when all sessions are mean-reverting.
### Liquidity & Market Structure Suite
Liquidity sweeps — Detects stop hunts above prior highs or below prior lows within a configurable lookback
RSI divergence — Identifies momentum divergences using confirmed pivot points only
Supply/demand zones — Automatically generated from pivot highs/lows and projected forward for a set number of bars
### Macro Alignment Engine
The macroConfluence score combines:
Structure score (weighted average of strategic/tactical/execution EMAs)
Carry composite
Currency strength spread (base minus quote)
Momentum score
Liquidity modifier
Session bias composite
Correlation consensus
Long/short alignment signals require:
Macro confluence exceeding configurable threshold (default: 0.55)
Volatility pulse above floor threshold
Optional: Price above/below tactical EMA (execution filter toggle)
---
## Visual Elements
Candle Coloring: Candles are recolored based on macro confluence: teal for bullish alignment, magenta for bearish alignment, neutral gray for distribution phases.
Background Tint: Volatility intensity modulates chart background; bold colors indicate elevated ATR, washed-out tones suggest choppy conditions.
Labels:
Macro Align Long/Short — Primary entry signals when confluence exceeds threshold
BOS↑/↓ — Break-of-structure confirmation
Sweep↑/↓ — Liquidity sweep detection
RSI Bull/Bear Div — Momentum divergence alerts
Carry Bias± — Policy-strength alignment flags
Session Overlays: Transparent background shading indicates active trading sessions (Asia, Europe, US) with configurable opacity.
Session VWAPs: Each region's VWAP is plotted in a distinct color (teal for Asia, blue for Europe, purple for US).
## Dashboard Tables
The indicator includes several configurable information tables:
Intelligence Dashboard (top-right, default) — Displays strategic/tactical/execution bias, policy pressure, currency spread, volatility pulse, policy impulse, session drift, correlation, and macro state
Currency Heatmap (bottom-right, default) — Shows normalized strength values for all tracked currencies
Correlation Grid (bottom-left, default) — Lists reference pairs with correlation coefficients and qualitative states
Session Performance Panel (bottom-center, default) — Displays drift scores and range percentages for each session
Diagnostics Table (top-left, optional) — Additional session range metrics and liquidity pulse values
All table positions are configurable via input settings to avoid overlap with TradingView UI elements.
---
## Configuration Parameters
Multi-Timeframe Structure: All EMA timeframes and lengths are adjustable. Default strategic timeframe is Daily; tactical is 4-hour; execution is 1-hour.
Policy Proxies: Base and quote currency policy proxy symbols are user-configurable. Defaults use $FX_IDC pairs for broad compatibility.
Currency Strength: Each currency's tracking can be toggled on/off. Symbol inputs allow substitution of alternative data sources if default indices are unavailable.
Correlation References: Three reference pair symbols, timeframe, and lookback period are all configurable.
Signal Thresholds: Macro alignment trigger, volatility pulse floor, and carry opportunity threshold are adjustable to match different trading styles.
Visual Controls: Label visibility, zone display, session overlays, VWAP plotting, and all dashboard tables can be toggled independently.
---
## Technical Implementation Notes
Pine Script v6 compliant
All request.security calls use lookahead_off to prevent historical repainting
BOS, divergence, and sweep detection rely on confirmed pivot points only
Session VWAP calculations reset strictly on session boundaries
Zone objects are automatically capped and managed to respect TradingView resource limits
All calculations include division-by-zero guards and NA handling for real-time stability
---
## Usage Considerations
Timeframe Selection: The indicator is designed for forex pairs. Default timeframes (D/4H/1H) are optimized for swing and intraday trading. Scalpers may prefer shorter execution timeframes; position traders may extend strategic to weekly.
Pair Compatibility: Tested on major pairs ( FX:EURUSD , FX:GBPUSD , FX:USDJPY , OANDA:USDCHF , OANDA:AUDUSD , OANDA:USDCAD , OANDA:NZDUSD ), cross-pairs, and FX-derived CFDs. Policy proxy symbols should be adjusted to match your data feed availability.
Session Windows: Default UTC windows (Asia: 22:00-06:00, Europe: 06:00-13:00, US: 13:00-21:00) can be customized. Adjust for daylight saving time transitions as needed.
Signal Interpretation: Macro alignment signals indicate confluence across multiple dimensions but do not guarantee profitable outcomes. Use in conjunction with risk management and market context. The indicator is a tool for analysis, not a standalone trading system.
Resource Usage: With all features enabled, the script operates within TradingView's resource budgets. Disable unused modules (currency tracking, correlation grid, diagnostics) if running multiple instances on a single layout.
---
## Limitations & Compromises
Policy proxies are approximations using currency indices; actual central bank policy requires external economic analysis
Correlation calculations use price-based correlation, which may lag during regime shifts
Session VWAPs reset at session boundaries; overlapping sessions (e.g., London/NY) may show conflicting signals
Supply/demand zones are generated from pivots; false zones may appear during ranging markets
Macro confluence is a composite score; individual components may conflict, requiring discretionary interpretation
The indicator is optimized for trending and rotational markets. Performance may degrade during extended consolidation or during major economic event volatility when multiple central banks act simultaneously.
---
## Alert System
The script includes four alert conditions:
SterlCore FX Bullish Alignment — Fires when macro confluence exceeds threshold with volatility and EMA filters satisfied
SterlCore FX Bearish Alignment — Mirror of bullish logic
SterlCore FX Carry Long — Fires when carry composite, currency spread, and structure align for long bias
SterlCore FX Carry Short — Mirror of carry long logic
---
## Why This Approach
Forex markets require analysis across multiple dimensions simultaneously. A single timeframe or single indicator cannot capture the interplay between central bank policy expectations, cross-pair correlations, session-specific liquidity, and market structure. This script attempts to synthesize these elements into actionable signals while maintaining transparency about its limitations.
The composite scoring system allows traders to see when multiple factors align, reducing reliance on single-signal systems that may fail during regime changes. The modular design enables users to disable components that don't fit their trading style while retaining core functionality.
Dynamic EMA Trend Table [Customizable]Overview
The Dynamic EMA Trend Table is a comprehensive dashboard designed to give traders an instant overview of the market trend across five distinct Exponential Moving Averages (EMAs). Instead of cluttering your chart with multiple lines, this script organizes the data into a clean, customizable table, allowing you to assess trend alignment at a glance.
How It Works
This indicator calculates five user-defined EMAs (defaulting to the popular 5, 20, 50, 100, and 200 periods). It then compares the Current Price against each EMA value to determine the immediate trend status:
Bullish State: When the current price is above the specific EMA, the table cell turns Green (customizable).
Bearish State: When the current price is below the specific EMA, the table cell turns Red (customizable).
This logic allows swing traders and scalpers to instantly see if the asset is in a strong uptrend (all cells Green), a strong downtrend (all cells Red), or a consolidation phase (mixed colors).
Key Features
Fully Customizable Periods: Change the length of all 5 EMAs to fit your specific strategy (e.g., Fibonacci numbers or standard Swing Trading settings).
Dynamic UI: Position the table anywhere on the screen (Top/Bottom/Left/Right) and adjust the size to fit your screen resolution.
Visual Cleanliness: You can choose to show the table only, or toggle the "Show EMAs on Chart" option to plot the actual lines on your chart.
Smart Coloring: The lines on the chart (if enabled) inherit the same color logic as the table—turning Green when price is above them and Red when price is below.
Settings & Configuration
Price Source: Select Close, High, Low, etc. (Default is Close).
Table Position & Size: Customize where the dashboard appears.
EMA Lengths: Set your 5 preferred lookback periods.
Color Theme: Fully adjustable colors for Bullish, Bearish, Neutral, and Background elements to match your chart theme (Dark/Light mode friendly).
Use Case Example
Trend Confirmation: A trader looking for a "Buy" entry might wait for the short-term EMAs (5 and 20) and the medium-term EMA (50) to all turn Green in the table before entering.
Support/Resistance Watch: By quickly glancing at the values in the table, you can see exactly where the 200 EMA sits without needing to scroll back on your chart to find the line.
Swing Master by Pooja📘 Swing Master by Pooja
Invite-Only | Rule-Based Swing & Trend Structure Indicator
🔍 What this indicator is
Swing Master by Pooja is a rule-based technical analysis indicator designed to help traders identify high-quality swing opportunities within an established trend structure.
This script is not a trading strategy.
It does not execute trades and does not provide fixed targets or stop-loss levels.
Instead, it functions as a decision-support tool.
Visual signals appear only on confirmed candles, and only when trend structure, momentum, and market participation align together.
The core objective of this indicator is filtering low-quality market conditions and avoiding random entries, not generating frequent signals.
🎯 Intended Trading Use
This indicator is intended for traders who:
Trade trend-based swings and pullbacks
Prefer structure-aligned entries instead of chasing price
Want multi-factor confirmation before acting
Apply their own execution and risk-management rules
Applicable on:
Indices
Stocks
Futures
Intraday & higher-timeframe swing charts
🧠 Why this is NOT a simple indicator mashup
Although Swing Master uses EMA, RSI, Volume, and multi-timeframe context, each component serves a distinct and non-overlapping role.
No indicator is used to confirm itself, and no single condition can trigger a signal independently.
Signals are generated only when all required structural and momentum conditions align together on a confirmed bar, reducing noise and hindsight bias.
🔹 EMA Structure (50 / 100 / 200)
Defines trend hierarchy and market structure
Strictly filters trades in the dominant trend direction
Identifies pullback zones, not breakout points
EMA stacking is used to determine structural bias, not direct entries.
🔹 Pullback-Tolerance Logic (Key Original Component)
Instead of requiring exact EMA touches, the script applies a tolerance-based pullback zone around EMAs.
This allows:
More realistic swing entries
Fewer missed opportunities
Reduced noise compared to rigid EMA rules
This pullback-zone evaluation is custom-designed and central to the indicator’s behavior.
🔹 RSI Momentum Filter
Ensures pullbacks occur with momentum acceptance
Filters entries during weak or exhausted moves
Helps avoid counter-trend traps
RSI is used strictly as a momentum-quality filter, not as a standalone signal.
🔹 Volume Participation Filter
Confirms that price movement has market participation
Filters signals during low-interest or weak-volume phases
Helps avoid false continuation attempts
🚦 Signal Types Explained (Rule-Specific & Non-Repeating)
Each visual signal represents a distinct market condition, not repeated logic.
▸ sb — Swing Buy
Trend-aligned pullback near EMA structure
RSI confirms momentum
Volume confirms participation
▸ FS — Future Sell
Mirror logic of Swing Buy
Appears only in established downtrends
▸ SB / SS — Strong Buy / Strong Sell Zones
Price acceptance above or below all EMAs
Indicates strong directional control
Plotted only on the first bar of zone entry (no repetition)
▸ GB / GS — Golden Buy / Golden Sell
EMA 100 / EMA 200 crossover
Represents a structural trend transition
Appears only on confirmed crossovers
Each signal type follows its own independent rule-set.
📊 Multi-Timeframe Dashboard (Context Only)
The optional dashboard provides:
Trend state across higher timeframes
Top-down market context for directional bias
The dashboard is informational only and does not generate signals.
🔔 Alerts
Alert conditions are available for all signal types.
Alerts trigger only on confirmed candles and are intended to support manual analysis, not automated trading.
🔐 Why Invite-Only & Closed-Source
Swing Master incorporates:
Stateful signal control
Multi-condition validation
Non-repeating signal logic
Custom pullback-zone evaluation
The source code is protected to preserve the internal interaction, sequencing, and state management logic, not to conceal commonly known indicators.
⚠ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice and does not guarantee results.
All trading decisions, execution, and risk management remain entirely the user’s responsibility.
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes:
Location of each datapoint in corresponding fields (price, time, volume)
Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations
Innovation in state space (in our case = volatility)
The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool.
As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD
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Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away.
Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field
Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting.
Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...).
Signal weights: encode actuality/importance/relevance of datapoints.
Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way!
Signal = information.
The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time.
First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time.
Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion.
The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page.
Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that.
When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc
Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it.
^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script .
Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility.
Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns.
Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments.
Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else.
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It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request.
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∞
cd_VW_Cx IMPROVED - Quant VWAP System: Regime, Magnets & Z-ScoQuant VWAP System: Regime, Magnets & Z-Score Matrix
This indicator is a comprehensive Quantitative Trading System designed to move beyond simple support and resistance. Instead of static lines, it uses Statistical Probability (Z-Score) and Standard Deviation to define the current market regime, identify institutional value zones, and project high-probability liquidity targets.
It is engineered for Day Traders and Scalpers (Crypto & Futures) who need to know if the market is Trending, Ranging, or preparing for a Breakout.
1. The "Regime" System (Standard Deviation Bands)
The core engine anchors a VWAP (Volume Weighted Average Price) to your chosen timeframe (Daily, Weekly, or Monthly) and projects volatility bands based on market variance.
The Trend Zone (Inner Band / 1.0 SD): This is the "Fair Value" zone. In a healthy trend, price will pull back into this zone and hold. A hold here signals a high-probability continuation (Trend Following).
The Reversion Zone (Outer Band / 2.0 SD): This represents a statistical extreme. Price rarely sustains movement beyond 2 Standard Deviations without a reversion. A touch of this band signals "Overbought" or "Oversold" conditions.
2. Liquidity Magnets (Virgin VWAPs)
The script automatically tracks "Unvisited VWAPs" from previous sessions. These are price levels where significant volume occurred but have not yet been re-tested.
The Logic: Algorithms often target these "open loops." The script visualizes them as Blue Dashed Lines with price tags.
Smart Scaling (Anti-Scrunch): Includes a custom "Ghost Engine" that automatically hides or "ghosts" magnets that are too far away. This prevents your chart from being squashed (scrunched) on lower timeframes, keeping your candles perfectly readable while still tracking targets in the background.
3. The Quant Matrix (Dashboard)
A real-time Heads-Up Display (HUD) that interprets the data for you:
Regime: Detects Volatility Squeezes. If the bands compress, it signals "⚠ SQUEEZE", warning you to stop mean-reversion trading and prepare for an explosive breakout.
Bias: Color-coded Trend Direction (Bullish/Bearish) based on VWAP slope.
Signal: actionable text prompts such as "BUY DIP" (Trend Following), "FADE EXT" (Mean Reversion), or "PREP BREAK" (Squeeze).
4. Visual Intelligence
Bold Day Separators: Clear, vertical dotted dividers with Date Stamps to instantly separate trading sessions.
Dynamic Labels: Floating labels on the right axis identify exactly which deviation level is which, preventing chart confusion.
How to Use
Strategy A: The Trend Pullback (continuation)
Check Matrix: Ensure Bias is BULLISH (Green).
Wait: Allow price to pull back into the Inner Band (Dark Green Zone).
Trigger: If price holds the Center VWAP or the -1.0 SD line, enter Long.
Target: The next Liquidity Magnet above or the +2.0 SD band.
Strategy B: The Reversion Fade (Counter-Trend)
Check Matrix: Ensure price is labeled "EXTREME" or Signal says "FADE EXT".
Trigger: Price touches or pierces the Outer Band (2.0 SD).
Action: Enter counter-trend (Short) with a target back to the Center VWAP (Mean Reversion).
Strategy C: The Magnet Target
Identify a "MAGNET" line (Blue Dashed) near current price.
These act as high-probability Take Profit levels. Price will often rush to these levels to "close the loop" before reversing.
Settings
Anchor: Daily (default), Weekly, or Monthly.
Magnet Focus Range: Adjusts how aggressively the script hides distant magnets to fix chart scaling (Default: 2%).
Visuals: Fully customizable colors, label sizes, and dashboard position.
