Order Block Finder (5-min Demand Zones)This highlights potential bullish order blocks on a 5-min chart when:
Candle is bullish
Small body (suggesting accumulation or absorption)
Lowest low in last X bars
ค้นหาในสคริปต์สำหรับ "accumulation"
Volume Z-Score [T2][T69]🧠 Overview
This indicator calculates the Z-Score of volume to identify unusual trading activity, particularly those associated with whale-like behavior. It helps traders detect aggressive accumulation, distribution, or breakout setups based on volume anomalies relative to historical norms.
🔍 Features
Z-Score plot of volume using a configurable lookback.
Dynamic bar coloring based on Z-Score magnitude.
🐋 Small Whale marker appears when Z-Score exceeds +3.
Supports manual adjustment of sensitivity through lookback bars input.
🧪 Risk Level & Behavior Reference
🔥 Aggressive (10–14) - Fast signal, high sensitivity to volume spikes. Suitable for scalping or altcoin breakouts.
⚖️ Moderate (20–30) - Balanced filtering of noise vs real movement. Recommended for most swing traders.
🛡️ Conservative (40–60+) - Filters out noise. Reacts only to sustained large volume anomalies. Ideal for longer timeframes or large-cap coins.
⚙️ How to Use (NON DIRECTIONAL INDICATOR)
Use the Z-Score to gauge the strength of volume relative to recent history.
When Z-Score > 1.5 → Considered above-average activity.
When Z-Score > 3 → Marks a 🐋 Small Whale Move, potential for high-volatility follow-through.
Combine with price action, support/resistance, or OBV for confirmation.
⚠️ Limitations
This is a statistical signal, not directional.
Works best when paired with context: supply zones, trend bias, or large candle patterns.
🧠 Advanced Tips
Use multiple risk settings (e.g., 14 vs 50) on stacked indicators to track retail vs whale behavior separately.
Works well with low-float tokens and high-leverage exchange pairs like BTC/USDT (Bybit).
📝 Disclaimer
This script is provided for educational and analytical purposes only. Do your own research and manage your risk responsibly.
Market Structure Dashboard @darshakssc📌 Market Structure Dashboard by @darshakssc is a comprehensive visual analysis tool designed to assist traders and analysts in understanding market conditions by presenting multiple key technical insights in one place.
This script does not provide buy or sell signals, but helps you interpret essential elements of market behavior — such as structure shifts, momentum conditions, trend direction, and volatility — for informed decision-making.
🔍 What This Dashboard Displays:
✅ Market Phase Detection
Identifies the current market condition as Bullish, Bearish, Accumulation, or Distribution, based on trend logic and RSI thresholds.
✅ Trend Direction (EMA-Based)
Uses customizable Fast and Slow Exponential Moving Averages (EMAs) to evaluate whether the market is trending upward or downward.
✅ Key Support & Resistance Levels
Highlights potential support and resistance areas based on structural highs and lows and pivot logic.
✅ RSI Momentum State
Tracks whether momentum is Overbought, Oversold, or Neutral, using the classic RSI indicator.
✅ Volatility Overview
Detects high or low volatility zones using ATR (Average True Range) compared to a moving average baseline.
✅ Structure Shift Markers
Displays triangle markers on the chart when a structural trend shift is detected.
✅ Custom Themes and Design
Choose between three clean themes — Classic, Modern, and Dark — for enhanced readability and aesthetics.
📊 Visual Elements
1). An intuitive table-style dashboard appears in the top-right of the chart.
2). Colored EMA overlays and plotted support/resistance circles on the price chart.
3). Structure shift indicators help visually mark potential change zones.
⚠️ Important Notice:
This tool is intended for educational and informational purposes only. It does not provide financial advice, trade recommendations, or guaranteed outcomes. Always use your own discretion and analysis, and consult a qualified financial professional before making investment decisions.
Trading involves risk and past performance does not guarantee future results.
Trend Flow Oscillator (CMF + MFI) + ADX## Trend Flow Oscillator (TFO + ADX) Indicator Description
The Trend Flow Oscillator (TFO+ADX) combines two volume-based indicators, Money Flow Index (MFI) and Chaikin Money Flow (CMF), along with the Average Directional Index (ADX) into one comprehensive oscillator. This indicator provides traders with insights into momentum, volume flow, and trend strength, clearly indicating bullish or bearish market conditions.
### How the Indicator Works:
1. **Money Flow Index (MFI)**:
* Measures buying and selling pressure based on price and volume.
* Scaled from -1 to +1 (where positive values indicate buying pressure, negative values indicate selling pressure).
2. **Chaikin Money Flow (CMF)**:
* Evaluates money flow volume over a set period, reflecting institutional buying or selling.
* Also scaled from -1 to +1 (positive values suggest bullish accumulation, negative values bearish distribution).
3. **Average Directional Index (ADX)**:
* Measures trend strength, indicating whether a market is trending or ranging.
* Scaled from -1 to +1, with values above 0 suggesting strong trends, and values near or below 0 indicating weak trends or sideways markets.
* Specifically, an ADX value of 0 means neutral trend strength; positive values indicate a strong trend.
### Indicator Levels and Interpretation:
* **Zero Line (0)**: Indicates neutral conditions. When the oscillator crosses above zero, it signals increasing bullish momentum; crossing below zero indicates bearish momentum.
* **Extreme Zones (+/- 0.75)**:
* Oscillator values above +0.75 are considered overbought or highly bullish.
* Oscillator values below -0.75 are considered oversold or highly bearish.
* The indicator features subtle background shading to visually highlight these extreme momentum areas for quick identification.
* Shading when values above or below the +/-1.0 level.
* **Color Coding**:
* Bright blue indicates strengthening bullish momentum.
* Dark blue signals weakening bullish momentum.
* Bright red indicates strengthening bearish momentum.
* Dark maroon signals weakening bearish momentum.
Smart Money Breakout Channels [AlgoAlpha]🟠 OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠 CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
🟠 FEATURES
Automatic detection and drawing of breakout channels based on volatility-normalized price pivots.
Optional nested channels to allow multiple simultaneous zones or a clean single-zone view.
Gradient-filled volume gauge with dynamic pointer to show current delta pressure within the box.
Three volume visualization modes: raw volume, comparative up/down volume, and delta.
Alerts for new channel creation and confirmed bullish or bearish breakouts.
🟠 USAGE
Apply the indicator to any chart. Wait for a new breakout box to form—this occurs when volatility behavior shifts and a stable range emerges. Once a box appears, monitor price relative to its boundaries. A breakout above suggests bullish continuation, below suggests bearish continuation; signals are stronger when “Strong Closes Only” is enabled.
Watch the internal volume candles to understand where buy/sell pressure is concentrated during the box. Use the gauge on the right to interpret whether net pressure is building upward or downward before breakout to anticipate the direction.
Use alerts to catch breakout events without needing to monitor the chart constantly 🚨.
Advanced DMA Pattern Detection SystemAdvanced DMA Pattern Detection System with Smart Intelligence
Professional-grade moving average indicator that combines traditional DMA analysis with advanced pattern recognition and probabilistic forecasting.
Core Features:
6 Key DMAs (5, 10, 20, 50, 100, 200) with descriptive labels showing trading purpose
Advanced Pattern Recognition - Detects Institutional Accumulation, Distribution Phases, Bull/Bear Transitions, and Choppy Markets
Probability Engine - Assigns confidence scores (0-100%) with Low/Medium/High classifications
Historical Validation - Tracks success rate of last 20 pattern signals for real performance data
Smart Alert System - Only triggers on significant pattern changes (20%+ probability shifts)
Dual Display System:
Movable Information Table - Shows current pattern, probability, confidence level, success rate, and recommended action
Chart Alerts & Background Colors - Visual confirmation of high-confidence setups (80%+ patterns)
Traditional DMA Labels - Clear identification of each average's trading significance
Complete Customization:
Master on/off controls for entire system
Individual toggles for all components (DMAs, table, alerts, colors)
Adjustable alert sensitivity (Conservative/Medium/Aggressive)
6 table positions to fit any chart layout
Perfect For: Swing traders, position traders, and anyone wanting systematic trend analysis with quantified probability scores rather than subjective interpretation.
Bottom Line: Transforms basic moving averages into an intelligent trading system that tells you exactly what the market structure means and what to do about it.
Worthy Asset StrategyThis strategy is designed with a two-part philosophy: a regime filter and a value-based accumulation approach.
🟩 Regime Filter:
If the S&P 500 (SPX) is trading above its 200-period EMA, a green background is shown below the chart, signaling a favorable market regime.
If the SPX is below the 200 EMA, the background turns red, indicating a less favorable environment.
📉 Buy Signals:
Buy signals are generated by red candles that drop a certain percentage from their open — essentially treating these pullbacks as discount opportunities.
The idea is to accumulate more of a selected asset when it becomes temporarily cheaper.
💎 Philosophy & Execution:
I only apply this strategy to assets I’ve personally researched and believe to be fundamentally valuable.
If a Buy signal occurs and the SPX is trading above its 200 EMA (i.e., the background is green), I enter the position.
Once in the trade, I follow this logic:
If the position reaches +1.5% profit, I sell it.
If it doesn’t reach profit and goes into a loss, I simply hold.
I don’t sell at a loss because I believe in the long-term value of the asset.
If the price drops further, I accumulate more — aiming to lower my average cost and eventually exit at a profit once the asset recovers.
This approach is based on the mindset of treating drawdowns as discounts, not danger.
"The more it drops, the more I accumulate — because I see value, not risk."
This is still a work in progress, and I’m actively refining it over time.
⚠️ Note: The sell logic is not yet visible on the chart and will be added in a future update.
Trend Range Detector (Zeiierman)█ Overview
Trend Range Detector (Zeiierman) is a market structure tool that identifies and tracks periods of price compression by forming adaptive range boxes based on volatility and price movement. When prices remain stable within a defined band, the script dynamically draws a range box; when prices break out of that structure, the box highlights the breakout in real-time.
By combining a volatility-based envelope with a custom weighted centerline, this tool filters out noise and isolates truly stable zones — providing a clean framework for traders who focus on accumulation, distribution, breakout anticipation, and reversion opportunities.
Whether you're range trading, spotting trend consolidations, or looking for volatility contractions before major moves, the Trend Range Detector gives you a mathematically adaptive, visually intuitive structure that maps the heartbeat of the market.
█ How It Works
⚪ Range Formation Engine
The core of this indicator revolves around two conditions:
Distance Filter: The maximum distance between all recent closes and a dynamic centerline must remain within a volatility envelope.
Volatility Envelope: Based on an ATR(2000) multiplied by a user-defined factor to account for broader market volatility trends.
If both conditions are satisfied over the most recent length bars, a range box is drawn to visually anchor the zone.
⚪ Dynamic Breakout Coloring
When price breaks out of the top or bottom of the active range box, the box color shifts in real-time:
Blue Boxes represent areas where price has remained within a defined volatility envelope over a sustained number of bars. These zones reflect stable, low-volatility periods, often associated with consolidation, equilibrium, or market indecision.
Green Boxes for bullish breakouts.
Red Boxes for bearish breakdowns.
This allows traders to visually spot transitions from consolidation to expansion phases without relying on lagging signals.
█ Why Use a Weighted Close Instead of SMA?
A standard Simple Moving Average (SMA) treats all past closes equally, which works well in theory, but not in dynamic, fast-shifting markets. In this script, we replace the traditional SMA with a speed-weighted average that reflects how aggressively the market has moved bar-to-bar.
⚪ Here's why it matters:
Bars with higher momentum (larger price differences between closes) are given more weight.
Slow, sideways candles (typical in noise or low volume) contribute less to the calculated centerline.
This method creates a more accurate snapshot of market behavior, especially during volatile phases. As a result, the indicator adapts to market conditions more effectively, helping traders identify real consolidation zones, not just average lines distorted by flat bars or noise.
█ How to Use
⚪ Range Detection
Boxes form only when price remains consistently close to the speed-weighted mean.
Helps identify sideways zones, consolidations, and low-volatility structures where price is “charging up.”
⚪ Breakout Confirmation
Once price exits the top or bottom boundary, the box immediately highlights the direction of the break.
Use this signal in conjunction with your own momentum, volume, or trend filters for higher-confidence trades.
█ Settings
Minimum Range Length: Number of candles required for a valid range to form.
Range Width Multiplier: Adjusts the envelope around the weighted average using ATR(2000).
Highlight Box Breaks: Enables real-time coloring of breakouts and breakdowns for immediate visual feedback.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Volume MA Breakout T3 [Teyo69]🧭 Overview
Volume MA Breakout T3 highlights volume bars that exceed a dynamic moving average threshold. It helps traders visually identify volume breakouts—periods of significant buying or selling pressure—based on user-selected MA methods (SMA, EMA, DEMA).
🔍 Features
Volume Highlighting: Green bars indicate volume breakout above the MA; red bars otherwise.
Custom MA Options: Choose between SMA, EMA, or Double EMA for volume smoothing.
Dynamic Threshold: The moving average line adjusts based on user-defined length and method.
⚙️ Configuration
Length: Number of bars used for the moving average calculation (default: 14).
Method: Type of moving average to use:
"SMA" - Simple Moving Average
"EMA" - Exponential Moving Average
"Double EMA" - Double Exponential Moving Average
📈 How to Use
Apply to any chart to visualize volume behavior relative to its MA.
Look for green bars: These suggest volume is breaking out above its recent average—potential signal of momentum.
Red bars indicate normal/subdued volume.
⚠️ Limitations
Does not provide directional bias—use with price action or trend confirmation tools.
Works best with additional context (e.g., support/resistance, candle formations).
🧠 Advanced Tips
Use shorter MAs (e.g., 5–10) in volatile markets for more responsive signals.
Combine with OBV, MFI, or accumulation indicators for confluence.
📌 Notes
This is a volume-based filter, not a signal generator.
Useful for breakout traders and volume profile enthusiasts.
📜 Disclaimer
This script is for educational purposes only. Always test in a simulated environment before live trading. Not financial advice.
No Supply No Demand (NSND) – Volume Spread Analysis ToolThis indicator is designed for traders utilizing Volume Spread Analysis (VSA) techniques. It automatically detects potential No Demand (ND) and No Supply (NS) candles based on volume and price behavior, and confirms them using future price action within a user-defined number of lookahead bars.
Confirmed No Demand (ND): Detected when a bullish candle has volume lower than the previous two bars and is followed by weakness (next highs swept, close below).
Confirmed No Supply (NS): Detected when a bearish candle has volume lower than the previous two bars and is followed by strength (next lows swept, close above).
Adjustable lookahead bars parameter to control the confirmation window.
This tool helps identify potential distribution (ND) and accumulation (NS) areas, providing early signs of market turning points based on professional volume logic. The dot appears next to ND or NS.
Session HL + Candles + AMD (Nephew_Sam_)Session HL + Candles + AMD (Nephew_Sam_)
This indicator marks out intraday sessions summarized into single candles, with an additional option to mark out the HL of each session. Perfect for understanding AMD within a glance (accumulation-manipulation-distribution)
Features:
Session High/Low lines with customizable colors and labels
Optional session candles displayed on the right side of the chart
Timezone support for global traders
Customizable bull/bear candle colors
Works on timeframes up to 1 hour
Perfect for:
Identifying session liquidity levels
Tracking session ranges and breakouts
Multi-timeframe session analysis
ICT methodology traders
Settings:
Choose your timezone for accurate session detection
Toggle session candles and HL lines independently
Customize colors, line styles, and labels
Set maximum timeframe (up to 1 hour)
SCPEM - Socionomic Crypto Peak Model (0-85 Scale)SCPEM Indicator Overview
The SCPEM (Socionomic Crypto Peak Evaluation Model) indicator is a TradingView tool designed to approximate cycle peaks in cryptocurrency markets using socionomic theory, which links market behavior to collective social mood. It generates a score from 0-85 (where 85 signals extreme euphoria and high reversal risk) and plots it as a blue line on the chart for visual backtesting and real-time analysis.
#### How It Works
The indicator uses technical proxies to estimate social mood factors, as Pine Script cannot fetch external data like sentiment indices or social media directly. It calculates a weighted composite score on each bar:
- Proxies derive from price, volume, and volatility data.
- The raw sum of factor scores (max ~28) is normalized to 0-85.
- The score updates historically for backtesting, showing mood progression over time.
- Alerts trigger if the score exceeds 60, indicating high peak probability.
Users can adjust inputs (e.g., lengths for RSI or pivots) to fine-tune for different assets or timeframes.
Metrics Used (Technical Proxies)
Crypto-Specific Sentiment
Approximated by RSI (overbought levels indicate greed).
Social Media Euphoria
Based on volume relative to its SMA (spikes suggest herding/FOMO).
Broader Social Mood Proxies
Derived from ATR volatility (high values signal uncertain/mixed mood).
Search and Cultural Interest Proxied by OBV trend (rising accumulation implies growing interest).
Socionomic Wildcard
Uses Bollinger Band width (expansion for positive mood, contraction for negative).
Elliott Wave Position
Counts recent price pivots (more swings indicate later wave stages and exhaustion).
Bollinger Bottom + Middle Lines with Inline TextThis script visualizes key Bollinger Band levels based on two different SMAs (20 & 50 periods), with clear labeling and a smart price table.
🔸 Features:
Draws lower and middle Bollinger Band lines for both SMA(20) and SMA(50)
Inline text at the end of each line instead of default labels (cleaner view)
A dynamic table in the top-right corner, sorted from highest to lowest level
Color-coded rows:
▪️ Orange → BB20 Mid & BB20 Lower
▪️ Green → BB50 Mid & BB50 Lower
Auto-updates each bar without cluttering the chart
✅ Ideal for identifying technical accumulation zones
✅ Suitable for investors using scaling-in strategies or mean-reversion logic
WVAD with Gap Compensation**Indicator Name:** WVAD with Gap Compensation
**Purpose:** Enhances the classic Williams Vix Fix (WVAD) by incorporating the impact of price gaps (jump ups/downs) in its calculation.
**Key Features:**
1. **Gap Detection:** Automatically identifies significant gaps (default: >0.5% from prior bar's high/low).
2. **Gap Compensation:** Adjusts the WVAD calculation by adding the gap size to the daily price change.
3. **Dynamic Weighting:** Applies a multiplier (1.2x or 1.5x) to the WVAD value on days with medium/large gaps (based on ATR).
4. **Visualization:**
- Plots the enhanced WVAD line (blue) and optionally the original WVAD (gray circles).
- Marks gap events with colored arrows (green ▲ for gap up, red ▼ for gap down) and connects the gap's impact with dashed lines.
- Includes a zero line for reference.
**Use Cases:**
- Gauges the true strength of money flow by accounting for gaps.
- Identifies potential trend shifts around gap events.
- Filters noise by focusing on significant gaps.
**Parameters:**
- `Accumulation Period`: Number of days to sum WVAD (default: 12).
- `Gap Threshold (%)`: Minimum gap size to trigger compensation (default: 0.5%).
- `Show Original WVAD`: Toggles display of the classic WVAD.
**Version:** Pine Script® v6
Simple DCA Strategy----
### 📌 **Simple DCA Strategy with Backtest Date Filter**
This strategy implements a **Dollar-Cost Averaging (DCA)** approach for long positions, including:
* ✅ **Base Order Entry:** Starts a position with a fixed dollar amount when no position is open.
* 🔁 **Safety Orders:** Buys additional positions when the price drops by a defined percentage, increasing position size with each new entry using a multiplier.
* 🎯 **Take Profit Exit:** Closes all positions when the price reaches a profit target (in % above average entry).
* 🗓️ **Backtest Date Range:** Allows users to specify a custom start and optional end date to run the strategy only within that time window.
* 📊 **Plots:** Visualizes average entry, take profit level, and safety order trigger line.
#### ⚙️ Customizable Inputs:
* Base Order Size (\$)
* Price Deviation for Safety Orders (%)
* Maximum Safety Orders
* Order Size Multiplier
* Take Profit Target (%)
* Start and End Dates for Backtesting
This is a **long-only strategy** and is best used for backtesting performance of DCA-style accumulation under different market conditions.
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Volume Spike Analyzer(SMA10-Based)📊 **Volume Spike Analyzer (SMA10-Based)**
This indicator highlights abnormal volume activity by comparing current volume to the 10-period Simple Moving Average (SMA) of volume. It helps traders visually identify unusual activity that may precede breakouts, reversals, or news-driven moves.
---
🔧 **Features:**
• ✅ Colors volume bars:
• Green = Volume > SMA(10)
• Red = Volume ≤ SMA(10)
• ✅ Detects and labels spike levels:
• 🔶2x — Volume > 2x SMA(10)
• 🟢3x — Volume > 3x SMA(10)
• 🔴4x — Volume > 4x SMA(10)
• ✅ Built-in alerts for all 3 spike levels
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📈 **Best Use Cases:**
• Confirm breakouts with strong volume
• Detect accumulation/distribution
• Filter low-volume setups
• Combine with VWAP/EMA for directional confirmation
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⏱️ **Recommended Timeframes:**
• Intraday: 5m, 15m, 1h
• Also works on daily for swing trades
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🧠 **Pro Tips:**
• Use with VWAP or EMA(20/50/200) for confluence
• Add SMA(Volume, 10) to your price chart for quick correlation
• Combine with candle pattern detection for signal validation
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Asset Premium/Discount Monitor📊 Overview
The Asset Premium/Discount Monitor is a tool for analyzing the relative value between two correlated assets. It measures when one asset is trading at a premium or discount compared to its historical relationship with another asset, helping traders identify potential mean reversion opportunities, or pairs trading opportunities.
🎯 Use Cases
Perfect for analyzing:
NASDAQ:MSTR vs CRYPTO:BTCUSD - MicroStrategy's premium/discount to Bitcoin
NASDAQ:COIN vs BITSTAMP:BTCUSD - Coinbase's relative value to Bitcoin
NASDAQ:TSLA vs NASDAQ:QQQ - Tesla's premium to tech sector
Regional banks AMEX:KRE vs AMEX:XLF - Individual bank stocks vs financial sector
Any two correlated assets where relative value matters
Example of a trade: MSTR vs BTC - When indicator shows MSTR at 95% percentile (extreme premium): Short MSTR, Buy BTC. Then exit when the spread reverts to the mean, say 40-60% percentile.
🔧 How It Works
Core Calculation
Ratio Analysis: Calculates the price ratio between your asset and the correlated asset
Historical Baseline: Establishes the "normal" relationship using a 252-day moving average. You can change this.
Premium Measurement: Measures current deviation from historical average as a percentage
Statistical Context: Provides percentile rankings and standard deviation bands
The Math
Premium % = (Current Ratio / Historical Average Ratio - 1) × 100
🎨 Customization Options
Correlated Asset: Choose any symbol for comparison
Lookback Period: Adjust historical baseline (50-1000 days)
Smoothing: Reduce noise with moving average (1-50 days)
Visual Toggles: Show/hide bands and percentile lines
Color Themes: Customize premium/discount colors
📊 Interpretation Guide
Premium/Discount Reading
Positive %: Asset trading above historical relationship (premium)
Negative %: Asset trading below historical relationship (discount)
Near 0%: Asset at fair value relative to correlation
Percentile Ranking
90%+: Near recent highs - potential selling opportunity
10% and below: Near recent lows - potential buying opportunity
25-75%: Normal trading range
Signal Classifications
🔴 SELL PREMIUM: Asset expensive relative to recent range
🟡 Premium Rich: Moderately expensive, monitor for reversal
⚪ NEUTRAL: Fair value territory
🟡 Discount Opportunity: Moderately cheap, potential accumulation zone
🟢 BUY DISCOUNT: Asset cheap relative to recent range
🚨 Built-in Alerts
Extreme Premium Alert: Triggers when percentile > 95%
Extreme Discount Alert: Triggers when percentile < 5%
⚠️ Important Notes
Works best with highly correlated assets
Historical relationships can change - monitor correlation strength
Not investment advice - use as one factor in your analysis
Backtest thoroughly before implementing any strategy
🔄 Updates & Future Features
This indicator will be continuously improved based on user feedback. So... please give me your feedback!
Chaikin Oscillator Enhanced📊 What Is the Chaikin Oscillator?
The Chaikin Oscillator is a momentum indicator that helps traders understand the strength of buying and selling pressure in the market, based on volume and price movement.
It is calculated as the difference between two moving averages (short-term and long-term) of the Accumulation/Distribution Line (A/D Line). This line combines price and volume to show whether money is flowing into or out of an asset.
________________________________________
🧠 Simple Concept
• When big traders are buying, they usually do so with volume support—the Chaikin Oscillator picks this up.
• When volume is rising but price is falling, or vice versa, it shows hidden strength or weakness.
So, this indicator helps you see what the smart money is doing, even if the price isn’t moving much.
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🛠️ How It Works
• Oscillator Value Above Zero → More buying pressure (bullish).
• Oscillator Value Below Zero → More selling pressure (bearish).
• Crossing above zero → A potential buy signal.
• Crossing below zero → A potential sell signal.
The histogram (vertical bars) in the indicator changes color:
• Green bars = Positive momentum.
• Red bars = Negative momentum.
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🎯 How Traders Use It for Entry and Exit
✅ For Entries:
• Buy Entry: When the oscillator crosses above the zero line and the bars turn green, it means buyers are stepping in with volume.
• For better confirmation, combine it with price breaking above a resistance level.
❌ For Exits or Shorts:
• Sell Exit or Short Entry: When the oscillator crosses below the zero line and bars turn red, it suggests selling pressure is growing.
• If the price is also below support, it’s a stronger signal.
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🔍 Example Use Case:
1. You’re watching a stock or crypto that's been going sideways.
2. Suddenly, the Chaikin Oscillator crosses above zero, and green bars appear.
3. That’s your early clue that big buyers might be entering.
4. If price confirms this with a breakout, you can enter a long position.
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🌐 Where Is It Useful?
The Chaikin Oscillator is great for:
• Stocks (especially volume-heavy large caps)
• ETFs
• Cryptocurrency (on exchanges that provide volume data)
• Forex – less reliable unless volume is proxy-based
⚠️ Important: It won’t work well on instruments where volume data is missing or unreliable (like some CFDs or synthetic assets).
________________________________________
🧭 Pro Tips for Using It:
• Combine it with support/resistance, moving averages, or candlestick patterns.
• Avoid trading only based on this indicator—use it as confirmation.
• Use the alerts (added in the script) so you don’t miss key movements.
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Delta Volume BubblesDelta Volume Bubbles
Overview
The Delta Volume Bubbles indicator is an advanced order flow visualization tool that displays buying and selling pressure through dynamic bubble representations on your chart. Unlike traditional volume indicators that only show total volume, this indicator calculates the net delta volume (difference between buying and selling volume) and presents it as color-coded bubbles of varying sizes.
How It Works
Core Calculation Method
The indicator uses a sophisticated approach to estimate delta volume from standard OHLCV data:
1. Price Action Analysis: Analyzes the relationship between open, high, low, and close prices to determine market aggression
2. Body Ratio Calculation: body_ratio = |close - open| / (high - low)
3. Aggressive Factor: Applies multipliers based on price action:
- Strong moves (body_ratio > 0.7): 1.5x multiplier
- Moderate moves (body_ratio > 0.4): 1.2x multiplier
- Weak moves: 1.0x multiplier
4. Delta Volume Estimation:
- Buy Volume: price_change > 0 ? volume × aggressive_factor : 0
- Sell Volume: price_change < 0 ? volume × aggressive_factor : 0
- Net Delta: buy_volume - sell_volume
5. Delta Strength Normalization: delta_strength = |net_delta| / sma(volume, 20)
Percentile-Based Filtering
The indicator uses percentile filtering instead of fixed thresholds, making it adaptive to market conditions:
- Bubble Filter: Only shows bubbles when volume exceeds the specified percentile (default: 60%)
- Label Filter: Only displays numbers when volume exceeds a higher percentile (default: 90%)
- Dynamic Adaptation: Automatically adjusts to changing market volatility
Visual Elements
Bubble Sizes
- Tiny: Delta strength < 0.3
- Small: Delta strength 0.3 - 0.7
- Normal: Delta strength 0.7 - 1.2
- Large: Delta strength 1.2 - 2.0
- Huge: Delta strength > 2.0
Color Coding
- Aggressive Buy (Bright Green): Strong buying pressure with high body ratio
- Aggressive Sell (Bright Red): Strong selling pressure with high body ratio
- Passive Buy (Light Green): Moderate buying pressure
- Passive Sell (Light Red): Moderate selling pressure
Intensity Mode
Alternative coloring based on delta strength rather than flow direction:
- Gray: Low intensity (< 0.5)
- Blue: Medium intensity (0.5 - 1.0)
- Orange: High intensity (1.0 - 2.0)
- Red: Extreme intensity (> 2.0)
Parameters
Order Flow Settings
- Show Bubbles: Toggle bubble display on/off
- Bubble Volume %ile: Percentile threshold for bubble display (0-100%)
- Intensity Mode: Switch between flow-based and intensity-based coloring
Bubble Labels
- Show Numbers in Bubbles: Toggle numerical labels on/off
- Label Volume %ile: Higher percentile threshold for label display (0-100%)
Numbers are displayed in K-notation (e.g., 25000 → 25K, 1500000 → 1.5M) for better readability.
Ideal Usage Scenarios
Best Market Conditions
- High volume sessions: More accurate delta calculations
- Trending markets: Clear directional flow identification
- Breakout scenarios: Spot aggressive buying/selling at key levels
- Support/resistance testing: Identify accumulation vs distribution
Trading Applications
1. Entry Timing: Look for aggressive flow in your trade direction
2. Exit Signals: Watch for opposing aggressive flow
3. Trend Confirmation: Consistent flow direction confirms trends
4. Volume Climax: Huge bubbles may indicate exhaustion points
Optimization Tips
Parameter Adjustment
- Lower percentiles (40-60%): More bubbles, good for active markets
- Higher percentiles (70-90%): Fewer bubbles, focus on significant events
- Label percentile: Set 20-30% higher than bubble percentile for clarity
Visual Optimization
- Intensity mode: Better for identifying unusual volume spikes
- Flow mode: Better for directional bias analysis
- Label toggle: Turn off in crowded markets, on for key levels
Limitations
- Estimation-based: Uses approximation algorithms, not true order flow data
- Volume dependency: Requires accurate volume data to function properly
- Timeframe sensitivity: Works best on intraday timeframes with active volume
- Market hours: Most effective during high-volume trading sessions
Technical Notes
The indicator implements advanced Pine Script features including:
- Dynamic percentile calculations using ta.percentile_linear_interpolation()
- Conditional plotting with multiple size categories
- Custom number formatting functions
- Efficient label management to prevent display limits
This tool is designed for traders who want to understand the underlying buying and selling pressure beyond simple volume analysis, providing insights into market sentiment and potential turning points.
Institutional Momentum Scanner [IMS]Institutional Momentum Scanner - Professional Momentum Detection System
Hunt explosive price movements like the professionals. IMS identifies maximum momentum displacement within 10-bar windows, revealing where institutional money commits to directional moves.
KEY FEATURES:
▪ Scans for strongest momentum in rolling 10-bar windows (institutional accumulation period)
▪ Adaptive filtering reduces false signals using efficiency ratio technology
▪ Three clear states: LONG (green), SHORT (red), WAIT (gray)
▪ Dynamic volatility-adjusted thresholds (8% ATR-scaled)
▪ Visual momentum flow with glow effects for signal strength
BASED ON:
- Pocket Pivot concept (O'Neil/Morales) applied to price momentum
- Adaptive Moving Average principles (Kaufman KAMA)
- Market Wizards momentum philosophy
- Institutional order flow patterns (5-day verification window)
HOW IT WORKS:
The scanner finds the maximum price displacement in each 10-bar window - where the market showed its hand. An adaptive filter (5-bar regression) separates real moves from noise. When momentum exceeds the volatility-adjusted threshold, states change.
IDEAL FOR:
- Momentum traders seeking explosive moves
- Swing traders (especially 4H timeframe)
- Position traders wanting institutional footprints
- Anyone tired of false breakout signals
Default parameters (10,5) optimized for 4H charts but adaptable to any timeframe. Remember: The market rewards patience and punishes heroes. Wait for clear signals.
"The market is honest. Are you?"
All SMAs Bullish/Bearish Screener (Enhanced)All SMAs Bullish/Bearish Screener Enhanced: Uncover High-Conviction Trend Alignments with Confidence
Description:
Are you ready to elevate your trading from mere guesswork to precise, data-driven decisions? The "All SMAs Bullish/Bearish Screener Enhanced" is not just another indicator; it's a sophisticated, yet user-friendly, trend-following powerhouse designed to cut through market noise and pinpoint high-probability trading opportunities. Built on the foundational strength of comprehensive Moving Average confluence and fortified with critical confirmation signals from Momentum, Volume, and Relative Strength, this script empowers you to identify truly robust trends and manage your trades with unparalleled clarity.
The Power of Multi-Factor Confluence: Beyond Simple Averages
In the unpredictable world of financial markets, true strength or weakness is rarely an isolated event. It's the harmonious alignment of multiple technical factors that signals a high-conviction move. While our original "All SMAs Bullish/Bearish Screener" intelligently identified stocks where price was consistently above or below a full spectrum of Simple Moving Averages (5, 10, 20, 50, 100, 200), this Enhanced version takes it a crucial step further.
We've integrated a powerful three-pronged confirmation system to filter out weaker signals and highlight only the most compelling setups:
Momentum (Rate of Change - ROC): A strong trend isn't just about price direction; it's about the speed and intensity of that movement. Positive momentum confirms that buyers are still aggressively pushing price higher (for bullish signals), while negative momentum validates selling pressure (for bearish signals).
Volume: No trend is truly trustworthy without the backing of smart money. Above-average volume accompanying an "All SMAs" alignment signifies strong institutional participation and conviction behind the move. It separates genuine trend starts from speculative whims.
Relative Strength Index (RSI): This versatile oscillator ensures the trend isn't just "there," but that it's developing healthily. We use RSI to confirm a bullish bias (above 50) or a bearish bias (below 50), adding another layer of confidence to the direction.
When the price aligns above ALL six critical SMAs, and is simultaneously confirmed by robust positive momentum, healthy volume, and a bullish RSI bias, you have an exceptionally strong "STRONGLY BULLISH" signal. This confluence often precedes sustained upward moves, signaling prime accumulation phases. Conversely, a "STRONGLY BEARISH" signal, where price is below ALL SMAs with negative momentum, confirming volume, and a bearish RSI bias, indicates powerful distribution and potential for significant downside.
How to Use This Enhanced Screener:
Add to Chart: Go to TradingView's Pine Editor, paste the script, and click "Add to Chart."
Customize Parameters: Fine-tune the lengths of your SMAs, RSI, Momentum, and Volume averages via the indicator's settings. Experiment to find what best suits your trading style and the assets you trade.
Choose Your Timeframe Wisely:
Daily (1D) and 4-Hour (240 min) are highly recommended. These timeframes cut through intraday noise and provide more reliable, actionable signals for swing and position trading.
Shorter timeframes (e.g., 15min, 60min) can be used by advanced day traders for very short-term entries, but be aware of increased volatility and noise.
Visual Confirmation:
Green/Red Triangles: Appear on your chart, indicating confirmed bullish or bearish signals.
Background Color: The chart background will subtly turn lime green for "STRONGLY BULLISH" and red for "STRONGLY BEARISH" conditions.
On-Chart Status Table: A clear table displays the current signal status ("STRONGLY BULLISH/BEARISH," or "SMAs Mixed") for immediate feedback.
Set Up Alerts (Your Primary Screener Tool): This is the game-changer! Create custom alerts on TradingView based on the "Confirmed Bullish Trade" and "Confirmed Bearish Trade" conditions. Receive instant notifications (email, pop-up, mobile) for any stock in your watchlist that meets these stringent criteria. This allows you to scan the entire market effortlessly and act decisively.
Strategic Stop-Loss Placement: The Trader's Lifeline
Even the most robust signals can fail. Protecting your capital is paramount. For this trend-following strategy, your stop-loss should be placed where the underlying trend structure is broken.
For a "STRONGLY BULLISH" Trade: Place your stop-loss just below the most recent significant swing low (higher low). This is the last point where buyers stepped in to support the price. If price breaks below this, your bullish thesis is invalidated.
For a "STRONGLY BEARISH" Trade: Place your stop-loss just above the most recent significant swing high (lower high). If price breaks above this, your bearish thesis is invalidated.
Alternatively, consider placing your stop-loss just below the 20-period SMA (for bullish trades) or above the 20-period SMA (for bearish trades). A significant close beyond this intermediate-term average often indicates a critical shift in momentum. Always ensure your chosen stop-loss adheres to your pre-defined risk per trade (e.g., 1-2% of capital).
Disciplined Profit Booking: Maximizing Gains
Just as important as knowing when you're wrong is knowing when to take profits.
Trailing Stop-Loss: As your trade moves into profit, trail your stop-loss upwards (for longs) or downwards (for shorts). You can trail it using:
Previous Swing Lows/Highs: Move your stop to just below each new higher low (for longs) or just above each new lower high (for shorts).
A Moving Average (e.g., 10-period or 20-period SMA): If price closes below your chosen trailing SMA, exit. This allows you to ride the trend while protecting accumulated profits.
Target Levels: Identify potential resistance levels (for longs) or support levels (for shorts) using pivot points, previous highs/lows, or Fibonacci extensions. Consider taking partial profits at these levels and letting the rest run with a trailing stop.
Loss of Confluence: If the "STRONGLY BULLISH/BEARISH" condition ceases to be met (e.g., RSI crosses below 50, or volume drops significantly), this can be a signal to reduce or exit your position, even if your stop-loss hasn't been hit.
The "All SMAs Bullish/Bearish Screener Enhanced" is your comprehensive partner in navigating the markets. By combining robust trend identification with critical confirmation signals and disciplined risk management, you're equipped to make smarter, more confident trading decisions. Add it to your favorites and unlock a new level of precision in your trading journey!
#PineScript #TradingView #SMA #MovingAverage #TrendFollowing #StockScreener #TechnicalAnalysis #Bullish #Bearish #QQQ #Momentum #Volume #RSI #SPY #TradingStrategy #Enhanced #Signals #Analysis #DayTrading #SwingTrading
Leveraged Liquidation ZonesOVERVIEW
This indicator estimates potential liquidation zones based on leveraged positions (25x, 50x, 75x, 100x). It visually displays upper and lower bounds for each leverage tier, allowing traders to infer areas where the market might be seeking liquidity.
CONCEPTS
In leveraged markets, especially crypto derivatives, price often moves towards zones of high liquidation potential — areas where traders using high leverage are likely to be stopped out. These zones represent concentrations of liquidity that can serve as targets for price movement.
This script models simplified liquidation areas by calculating the price range within which positions using specific leverage levels would be at risk, assuming no maintenance margin and using the previous candle close as a reference.
FEATURES
Visual zones for 25x, 50x, 75x, and 100x leverage levels.
Customizable visibility and colors for each leverage tier.
Real-time zone calculation based on the previous candle close.
Simple and clean design to overlay directly on price action.
USAGE
Use this tool to identify areas of liquidity accumulation or potential price magnet zones. High-leverage liquidations often lead to volatile movements when triggered, so tracking these zones can help anticipate breakout or reversal behavior.
You can toggle individual leverage levels via the settings panel, and adjust color transparency to suit your chart theme. This tool is most effective when combined with volume spikes, order book analysis, or high-frequency behavior.
Aetherium Institutional Market Resonance EngineAetherium Institutional Market Resonance Engine (AIMRE)
A Three-Pillar Framework for Decoding Institutional Activity
🎓 THEORETICAL FOUNDATION
The Aetherium Institutional Market Resonance Engine (AIMRE) is a multi-faceted analysis system designed to move beyond conventional indicators and decode the market's underlying structure as dictated by institutional capital flow. Its philosophy is built on a singular premise: significant market moves are preceded by a convergence of context , location , and timing . Aetherium quantifies these three dimensions through a revolutionary three-pillar architecture.
This system is not a simple combination of indicators; it is an integrated engine where each pillar's analysis feeds into a central logic core. A signal is only generated when all three pillars achieve a state of resonance, indicating a high-probability alignment between market organization, key liquidity levels, and cyclical momentum.
⚡ THE THREE-PILLAR ARCHITECTURE
1. 🌌 PILLAR I: THE COHERENCE ENGINE (THE 'CONTEXT')
Purpose: To measure the degree of organization within the market. This pillar answers the question: " Is the market acting with a unified purpose, or is it chaotic and random? "
Conceptual Framework: Institutional campaigns (accumulation or distribution) create a non-random, organized market environment. Retail-driven or directionless markets are characterized by "noise" and chaos. The Coherence Engine acts as a filter to ensure we only engage when institutional players are actively steering the market.
Formulaic Concept:
Coherence = f(Dominance, Synchronization)
Dominance Factor: Calculates the absolute difference between smoothed buying pressure (volume-weighted bullish candles) and smoothed selling pressure (volume-weighted bearish candles), normalized by total pressure. A high value signifies a clear winner between buyers and sellers.
Synchronization Factor: Measures the correlation between the streams of buying and selling pressure over the analysis window. A high positive correlation indicates synchronized, directional activity, while a negative correlation suggests choppy, conflicting action.
The final Coherence score (0-100) represents the percentage of market organization. A high score is a prerequisite for any signal, filtering out unpredictable market conditions.
2. 💎 PILLAR II: HARMONIC LIQUIDITY MATRIX (THE 'LOCATION')
Purpose: To identify and map high-impact institutional footprints. This pillar answers the question: " Where have institutions previously committed significant capital? "
Conceptual Framework: Large institutional orders leave indelible marks on the market in the form of anomalous volume spikes at specific price levels. These are not random occurrences but are areas of intense historical interest. The Harmonic Liquidity Matrix finds these footprints and consolidates them into actionable support and resistance zones called "Harmonic Nodes."
Algorithmic Process:
Footprint Identification: The engine scans the historical lookback period for candles where volume > average_volume * Institutional_Volume_Filter. This identifies statistically significant volume events.
Node Creation: A raw node is created at the mean price of the identified candle.
Dynamic Clustering: The engine uses an ATR-based proximity algorithm. If a new footprint is identified within Node_Clustering_Distance (ATR) of an existing Harmonic Node, it is merged. The node's price is volume-weighted, and its magnitude is increased. This prevents chart clutter and consolidates nearby institutional orders into a single, more significant level.
Node Decay: Nodes that are older than the Institutional_Liquidity_Scanback period are automatically removed from the chart, ensuring the analysis remains relevant to recent market dynamics.
3. 🌊 PILLAR III: CYCLICAL RESONANCE MATRIX (THE 'TIMING')
Purpose: To identify the market's dominant rhythm and its current phase. This pillar answers the question: " Is the market's immediate energy flowing up or down? "
Conceptual Framework: Markets move in waves and cycles of varying lengths. Trading in harmony with the current cyclical phase dramatically increases the probability of success. Aetherium employs a simplified wavelet analysis concept to decompose price action into short, medium, and long-term cycles.
Algorithmic Process:
Cycle Decomposition: The engine calculates three oscillators based on the difference between pairs of Exponential Moving Averages (e.g., EMA8-EMA13 for short cycle, EMA21-EMA34 for medium cycle).
Energy Measurement: The 'energy' of each cycle is determined by its recent volatility (standard deviation). The cycle with the highest energy is designated as the "Dominant Cycle."
Phase Analysis: The engine determines if the dominant cycles are in a bullish phase (rising from a trough) or a bearish phase (falling from a peak).
Cycle Sync: The highest conviction timing signals occur when multiple cycles (e.g., short and medium) are synchronized in the same direction, indicating broad-based momentum.
🔧 COMPREHENSIVE INPUT SYSTEM
Pillar I: Market Coherence Engine
Coherence Analysis Window (10-50, Default: 21): The lookback period for the Coherence Engine.
Lower Values (10-15): Highly responsive to rapid shifts in market control. Ideal for scalping but can be sensitive to noise.
Balanced (20-30): Excellent for day trading, capturing the ebb and flow of institutional sessions.
Higher Values (35-50): Smoother, more stable reading. Best for swing trading and identifying long-term institutional campaigns.
Coherence Activation Level (50-90%, Default: 70%): The minimum market organization required to enable signal generation.
Strict (80-90%): Only allows signals in extremely clear, powerful trends. Fewer, but potentially higher quality signals.
Standard (65-75%): A robust filter that effectively removes choppy conditions while capturing most valid institutional moves.
Lenient (50-60%): Allows signals in less-organized markets. Can be useful in ranging markets but may increase false signals.
Pillar II: Harmonic Liquidity Matrix
Institutional Liquidity Scanback (100-400, Default: 200): How far back the engine looks for institutional footprints.
Short (100-150): Focuses on recent institutional activity, providing highly relevant, immediate levels.
Long (300-400): Identifies major, long-term structural levels. These nodes are often extremely powerful but may be less frequent.
Institutional Volume Filter (1.3-3.0, Default: 1.8): The multiplier for detecting a volume spike.
High (2.5-3.0): Only registers climactic, undeniable institutional volume. Fewer, but more significant nodes.
Low (1.3-1.7): More sensitive, identifying smaller but still relevant institutional interest.
Node Clustering Distance (0.2-0.8 ATR, Default: 0.4): The ATR-based distance for merging nearby nodes.
High (0.6-0.8): Creates wider, more consolidated zones of liquidity.
Low (0.2-0.3): Creates more numerous, precise, and distinct levels.
Pillar III: Cyclical Resonance Matrix
Cycle Resonance Analysis (30-100, Default: 50): The lookback for determining cycle energy and dominance.
Short (30-40): Tunes the engine to faster, shorter-term market rhythms. Best for scalping.
Long (70-100): Aligns the timing component with the larger primary trend. Best for swing trading.
Institutional Signal Architecture
Signal Quality Mode (Professional, Elite, Supreme): Controls the strictness of the three-pillar confluence.
Professional: Loosest setting. May generate signals if two of the three pillars are in strong alignment. Increases signal frequency.
Elite: Balanced setting. Requires a clear, unambiguous resonance of all three pillars. The recommended default.
Supreme: Most stringent. Requires perfect alignment of all three pillars, with each pillar exhibiting exceptionally strong readings (e.g., coherence > 85%). The highest conviction signals.
Signal Spacing Control (5-25, Default: 10): The minimum bars between signals to prevent clutter and redundant alerts.
🎨 ADVANCED VISUAL SYSTEM
The visual architecture of Aetherium is designed not merely for aesthetics, but to provide an intuitive, at-a-glance understanding of the complex data being processed.
Harmonic Liquidity Nodes: The core visual element. Displayed as multi-layered, semi-transparent horizontal boxes.
Magnitude Visualization: The height and opacity of a node's "glow" are proportional to its volume magnitude. More significant nodes appear brighter and larger, instantly drawing the eye to key levels.
Color Coding: Standard nodes are blue/purple, while exceptionally high-magnitude nodes are highlighted in an accent color to denote critical importance.
🌌 Quantum Resonance Field: A dynamic background gradient that visualizes the overall market environment.
Color: Shifts from cool blues/purples (low coherence) to energetic greens/cyans (high coherence and organization), providing instant context.
Intensity: The brightness and opacity of the field are influenced by total market energy (a composite of coherence, momentum, and volume), making powerful market states visually apparent.
💎 Crystalline Lattice Matrix: A geometric web of lines projected from a central moving average.
Mathematical Basis: Levels are projected using multiples of the Golden Ratio (Phi ≈ 1.618) and the ATR. This visualizes the natural harmonic and fractal structure of the market. It is not arbitrary but is based on mathematical principles of market geometry.
🧠 Synaptic Flow Network: A dynamic particle system visualizing the engine's "thought process."
Node Density & Activation: The number of particles and their brightness/color are tied directly to the Market Coherence score. In high-coherence states, the network becomes a dense, bright, and organized web. In chaotic states, it becomes sparse and dim.
⚡ Institutional Energy Waves: Flowing sine waves that visualize market volatility and rhythm.
Amplitude & Speed: The height and speed of the waves are directly influenced by the ATR and volume, providing a feel for market energy.
📊 INSTITUTIONAL CONTROL MATRIX (DASHBOARD)
The dashboard is the central command console, providing a real-time, quantitative summary of each pillar's status.
Header: Displays the script title and version.
Coherence Engine Section:
State: Displays a qualitative assessment of market organization: ◉ PHASE LOCK (High Coherence), ◎ ORGANIZING (Moderate Coherence), or ○ CHAOTIC (Low Coherence). Color-coded for immediate recognition.
Power: Shows the precise Coherence percentage and a directional arrow (↗ or ↘) indicating if organization is increasing or decreasing.
Liquidity Matrix Section:
Nodes: Displays the total number of active Harmonic Liquidity Nodes currently being tracked.
Target: Shows the price level of the nearest significant Harmonic Node to the current price, representing the most immediate institutional level of interest.
Cycle Matrix Section:
Cycle: Identifies the currently dominant market cycle (e.g., "MID ") based on cycle energy.
Sync: Indicates the alignment of the cyclical forces: ▲ BULLISH , ▼ BEARISH , or ◆ DIVERGENT . This is the core timing confirmation.
Signal Status Section:
A unified status bar that provides the final verdict of the engine. It will display "QUANTUM SCAN" during neutral periods, or announce the tier and direction of an active signal (e.g., "◉ TIER 1 BUY ◉" ), highlighted with the appropriate color.
🎯 SIGNAL GENERATION LOGIC
Aetherium's signal logic is built on the principle of strict, non-negotiable confluence.
Condition 1: Context (Coherence Filter): The Market Coherence must be above the Coherence Activation Level. No signals can be generated in a chaotic market.
Condition 2: Location (Liquidity Node Interaction): Price must be actively interacting with a significant Harmonic Liquidity Node.
For a Buy Signal: Price must be rejecting the Node from below (testing it as support).
For a Sell Signal: Price must be rejecting the Node from above (testing it as resistance).
Condition 3: Timing (Cycle Alignment): The Cyclical Resonance Matrix must confirm that the dominant cycles are synchronized with the intended trade direction.
Signal Tiering: The Signal Quality Mode input determines how strictly these three conditions must be met. 'Supreme' mode, for example, might require not only that the conditions are met, but that the Market Coherence is exceptionally high and the interaction with the Node is accompanied by a significant volume spike.
Signal Spacing: A final filter ensures that signals are spaced by a minimum number of bars, preventing over-alerting in a single move.
🚀 ADVANCED TRADING STRATEGIES
The Primary Confluence Strategy: The intended use of the system. Wait for a Tier 1 (Elite/Supreme) or Tier 2 (Professional/Elite) signal to appear on the chart. This represents the alignment of all three pillars. Enter after the signal bar closes, with a stop-loss placed logically on the other side of the Harmonic Node that triggered the signal.
The Coherence Context Strategy: Use the Coherence Engine as a standalone market filter. When Coherence is high (>70%), favor trend-following strategies. When Coherence is low (<50%), avoid new directional trades or favor range-bound strategies. A sharp drop in Coherence during a trend can be an early warning of a trend's exhaustion.
Node-to-Node Trading: In a high-coherence environment, use the Harmonic Liquidity Nodes as both entry points and profit targets. For example, after a BUY signal is generated at one Node, the next Node above it becomes a logical first profit target.
⚖️ RESPONSIBLE USAGE AND LIMITATIONS
Decision Support, Not a Crystal Ball: Aetherium is an advanced decision-support tool. It is designed to identify high-probability conditions based on a model of institutional behavior. It does not predict the future.
Risk Management is Paramount: No indicator can replace a sound risk management plan. Always use appropriate position sizing and stop-losses. The signals provided are probabilistic, not certainties.
Past Performance Disclaimer: The market models used in this script are based on historical data. While robust, there is no guarantee that these patterns will persist in the future. Market conditions can and do change.
Not a "Set and Forget" System: The indicator performs best when its user understands the concepts behind the three pillars. Use the dashboard and visual cues to build a comprehensive view of the market before acting on a signal.
Backtesting is Essential: Before applying this tool to live trading, it is crucial to backtest and forward-test it on your preferred instruments and timeframes to understand its unique behavior and characteristics.
🔮 CONCLUSION
The Aetherium Institutional Market Resonance Engine represents a paradigm shift from single-variable analysis to a holistic, multi-pillar framework. By quantifying the abstract concepts of market context, location, and timing into a unified, logical system, it provides traders with an unprecedented lens into the mechanics of institutional market operations.
It is not merely an indicator, but a complete analytical engine designed to foster a deeper understanding of market dynamics. By focusing on the core principles of institutional order flow, Aetherium empowers traders to filter out market noise, identify key structural levels, and time their entries in harmony with the market's underlying rhythm.
"In all chaos there is a cosmos, in all disorder a secret order." - Carl Jung
— Dskyz, Trade with insight. Trade with confluence. Trade with Aetherium.
