AZ Dynamic Trend Indicator with Heikin-Ashi### Dynamic Trend Indicator with Heikin-Ashi (v2.7)
**Effortlessly identify trends and reversals** with this versatile tool combining multi-timeframe analysis, adaptive moving averages, and Heikin-Ashi smoothing. Here's what it offers:
#### 🔍 **Core Features**
1. **Dual Timeframe Analysis**:
- Track trends on higher timeframes (e.g., 1H/D) while viewing signals on your current chart.
- Toggle between **Heikin-Ashi** or standard candles for cleaner trend visualization.
2. **8 Customizable MAs**:
- Choose from **ALMA, HMA, SMA, SWMA, VWMA, WMA, ZLEMA, or EMA** with adjustable periods.
- Unique "Trend Strength" metric: `(MA_Close - MA_Open) / (MA_High - MA_Low)` highlights momentum direction.
3. **Smart Signals**:
- **Entry/Exit**: Triangles mark crossovers between MA Close/Open.
- **Reversal Alerts**: Detects counter-trend moves within a user-defined window (default: 3 bars) after signals.
- Color-coded plots: Bullish (🟢), Bearish (🔴), Reversal Bull (🔵), Reversal Bear (🟠).
#### 🎨 **Visual Customization**
- Toggle **High/Low MA lines**, **Close line**, and **fill colors**.
- Adjust colors for all elements to match your chart theme.
- Hide signals or reversal markers as needed.
#### ⚙️ **Practical Use**
- **Trend Following**: Use the MA Close/Open crossover with trend fill colors to confirm direction.
- **Reversal Trading**: Capitalize on pullbacks with reversal signals (e.g., after a bearish signal, watch for Bull Reversal markers).
- **Multi-Timeframe Confirmation**: Avoid false signals by aligning higher-timeframe trends with your entries.
*Ideal for swing traders and trend riders!*
**Note**: Adjust `MA Period`, `Reversal Window`, and `Trend Timeframe` for your strategy. Disable Heikin-Ashi in choppy markets for faster reactions.
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*Code v2.7 updates: Optimized reversal logic, added ALMA/ZLEMA support, and enhanced visual controls.*
週期
Alt Market Index (Halving-Adjusted BTC Supply, EMA)
암호화폐 알트코인 시총 상위 125개를 모아서
나스닥 기반의 계산식을 활용한 알트코인지수125를 만들었습니다.
반감기에 따른 비트코인 하루 채굴량 갯수 추가까지 포함한 버전입니다.
일봉이 기준이 됩니다.
I created the Altcoin Index 125 by compiling the top 125 altcoins by market capitalization in the cryptocurrency market, using a calculation method based on the Nasdaq index.
This version also includes adjustments for Bitcoin’s halving events, reflecting changes in daily mining output. The index is based on daily candles.
MEAN X VIBRATION(dynammic)This is a base example for using mean reversion in trading. the probability of sellers coming in on the 1.9-2.4 band is highly likely . use 1.2-0.9 as a smaller vibration.
key note universal laws are used in this. those who can see will see.
محدد الأوقات المطور جداً v6
Determine the candle times at any hour you want. If the strategy you are working on is CRT, specify the 4-hour frame and choose the time 1-5-9.
15-Min ORB Indicator with Breakout Targets **What this indicator does:**
The 15-Min ORB (Opening Range Breakout) Indicator helps traders spot breakout trades by automatically detecting the high and low of the first 15 minutes after a session opens. It then monitors for breakouts above or below this range and plots dynamic take-profit levels based on your chosen multipliers.
**How it works:**
You set the start time for your session (hour and minute) in the settings.
The indicator marks the high and low during the first 15 minutes after your chosen open time, drawing lines on the chart and, if enabled, labels for these levels.
If price breaks above the 15-min high, a potential long breakout is identified; if it breaks below the low, a potential short breakout is detected.
Upon a breakout, the script calculates the distance from the entry (breakout) to the opposite side of the 15-min range and uses your input multipliers to project two take-profit levels (TP1/TP2).
All lines and labels (for the range and targets) can be individually toggled on or off in the settings.
Both the 15-min range and the targets can be styled (color, line style, label position).
**How to use it:**
Add the indicator to your chart.
Set the session start hour and minute to match your instrument’s open (e.g., 9:30 for US stocks or futures).
Use the settings to customize which levels and labels are shown, their appearance, and the target expansion multiples.
When price breaks out above or below the opening range, the script will plot TP1 and TP2 lines at your chosen risk/reward multiples, and label them if desired.
You can use the visual levels for trade entries, profit taking, or alerts.
**What makes it unique and useful:** >
Unlike many basic ORB indicators, this script not only marks the opening range but also tracks breakouts, auto-plots your profit targets based on range expansion, and gives you full control over display (styles, toggles, and label positions).
The TP targets are dynamic and can be set to any multiples, adapting to your risk/reward plan and breakout style.
Everything is customizable for your own session times, instrument, or trading approach.
**Typical uses:**
Intraday traders looking for clear breakout setups around the session open.
Automated R-multiple target planning for both long and short trades.
Visualizing volatility and measuring early price expansion.
Trend-Following Colored Bars w/ SignalsTheTechnicalTraders trendfollowing
Easy way to follow the trend.
SantiHOURchange
Indicator to mark changes in the next hours; once an hour passes, the following one will be marked automatically. It's ideal for those who do not want to wait for the indicator to mark it upon arrival, but rather see it beforehand.
BTC Correlation CoefficientThe BTCUSDT Correlation Coefficient indicator measures the strength and direction of the relationship between the selected asset (e.g., a stock or altcoin) and the price of BTCUSDT over a chosen time period. It uses a custom correlation function to calculate how closely the asset's price movements align with Bitcoin, returning a value between -1 and +1. A coefficient near +1 indicates strong positive correlation, while values near -1 indicate inverse correlation. This helps traders assess whether the asset tends to follow Bitcoin’s price trends or behave independently, enabling more informed decisions on portfolio diversification and market sentiment alignment.
Multi-timeframe Spot ETH ETF flowsDescription of Multi-timeframe Spot ETH ETF Flows Pine Script
This Pine Script™ (version 6) creates a Multi-timeframe Spot ETH ETF Flows indicator to track and visualize net and cumulative capital flows for various Ethereum (ETH) Spot Exchange-Traded Funds (ETFs) listed on AMEX and NASDAQ. The script calculates up and down volume based on price movements in a lower timeframe, multiplies these by the average price (HLC3) for accuracy, and aggregates the data to display net and cumulative flows.
Key Features:
ETF List : Tracks nine ETH Spot ETFs (e.g., AMEX:ETHE, NASDAQ:ETHA, etc.).
Custom Timeframe Input : Allows users to override the default lower timeframe (automatically selected based on the chart’s timeframe) with a custom timeframe (default: 720 minutes). Higher timeframes provide more historical data but less precision.
Volume Analysis : Calculates positive (up) and negative (down) volume based on price movements (close vs. open or close vs. previous close) in the lower timeframe, weighted by the average price.
Net and Cumulative Flows :
Net flow is the sum of up and down volumes across all ETFs, displayed as colored columns (green for positive, red for negative, with transparency based on trend direction).
Cumulative flow is the running total of net flows since the ETFs' launch, plotted as a line. Visualization : Uses dynamic colors for net flow columns to indicate direction and strength, with a black line for cumulative flow.
Technical Details:
Data Retrieval : Uses request.security and request.security_lower_tf to fetch price and volume data from lower timeframes.
Array Processing : Sums up and down volume arrays to compute net flows for each ETF.
Auto Timeframe Switching : Selects an appropriate lower timeframe (e.g., 1-second for seconds-based charts, 5-minute for daily charts) unless a custom timeframe is specified.
Styling : Net flow is plotted as columns, with color intensity reflecting flow direction and trend continuity.
Purpose:
The indicator helps traders and investors monitor capital inflows and outflows for ETH Spot ETFs, providing insights into market sentiment and fund activity across multiple timeframes.
License : Mozilla Public License 2.0.
Recuadro 06:00–07:30 NY extendido hasta 11:00 con DRThis indicator includes the daily range between 6 am to 7.30 am ny time acoordinly to quarterly theory
Price Reaction Analysis by Day of WeekOverview
The "Price Reaction Analysis by Day of Week" indicator is a tool that enables traders to analyze historical price reaction patterns to technical indicator signals on a selected day of the week. It examines price behavior on a chosen candle (from 1 to 30) in the next day or subsequent days after a signal, depending on the timeframe, and provides success rate statistics to support data-driven trading decisions. The indicator is optimized for timeframes up to 1 day (e.g., 1D, 12H, 8H, 6H, 4H, 1H, 15M), as the analysis relies on day-of-week comparisons. Lower timeframes generate more signals due to the higher number of candles per day.
Key Features
1. Flexible Technical Indicator Selection
Users can choose one of four technical indicators: RSI, SMI, MA, or Bollinger Bands. Each indicator has configurable parameters, such as:
RSI length, oversold/overbought levels.
SMI length, %K and %D smoothing, signal levels.
MA length.
Bollinger Bands length and multiplier.
2. Day-of-Week Analysis
The indicator allows users to select a day of the week (Monday, Tuesday, Wednesday, Thursday, Friday) for generating signals. It analyzes price reactions on a selected candle (from 1 to 30) in the next day or subsequent days after the signal. Examples:
On a daily timeframe, a signal on Monday can be analyzed for the first, fourth, or later candle (up to 30) in subsequent days (e.g., Tuesday, Wednesday).
On timeframes lower than 1 day (e.g., 12H, 8H, 6H, 4H, 1H, 15M), the analysis targets the selected candle in the next day or subsequent days. For example, on a 4H timeframe, you can analyze the second Tuesday candle following a Monday signal. The maximum timeframe is 1 day to ensure consistent day-of-week analysis.
3. Visual Signals
Signals for the analysis period are marked with background highlights in real-time when the indicator’s conditions are met. The last highlighted candle of the selected day is always analyzed. Arrows are displayed on the chart at the candle specified by the “Candles to Compare” setting (e.g., the first candle if set to 1):
Green upward triangles (below the candle) for successful buy signals (the closing price of the selected candle is higher than the signal candle’s close).
Red downward triangles (above the candle) for successful sell signals (the closing price of the selected candle is lower than the signal candle’s close).
Gray “x” marks for unsuccessful signals (no price reversal in the expected direction). Arrow positions are intuitive: buy signals below the candle, sell signals above. Highlights and arrows do not require waiting for future signals but are essential for calculating statistics.
Note: The first candle of the next day may appear shifted on the chart due to timezone differences, which can affect the timing of signal appearance.
4. Signal Conditions (Highlights) for Each Indicator
RSI: The oscillator is in oversold (buy) or overbought (sell) zones.
SMI: SMI returns from oversold (buy) or overbought (sell) zones.
MA: Price crosses the MA (upward for buy, downward for sell).
Bollinger Bands: Price returns inside the bands (from below for buy, from above for sell).
5. Success Rate Statistics
A table in the top-right corner of the chart displays:
The number of buy and sell signals for the selected day of the week.
The percentage of cases where the price of the selected candle in the next day or subsequent days reversed as expected (e.g., rising after a buy signal). Statistics are based on comparing the closing price of the signal candle with the closing price of the selected candle (e.g., first, fourth) in the next day or subsequent days.
Important: Statistics do not account for price movements within the candle or after its close. The price on the selected candle (e.g., fourth) may be lower than earlier candles but still higher than the signal candle, counting as a positive buy signal, though it does not guarantee profit.
6. Date Range
Users can specify the analysis date range, enabling strategy testing on historical data from a chosen period. Ensure the start and end dates are set correctly.
Applications
The indicator is designed for traders who want to leverage historical patterns for position planning. Examples:
On a 4-hour timeframe: If a sell signal highlight appears on Monday and statistics show an 80% chance that the fourth Tuesday candle is bearish, traders may consider playing a correction at the open of that candle.
On a daily timeframe: If a highlight indicates market overheating, traders may consider entering a position at the open of the first candle after the signal (e.g., Tuesday), provided statistics suggest an edge. Users can analyze the signal on the first candle and check later candles to validate results, increasing confidence in consistent patterns.
Key Settings
Indicator Type: Choose between RSI, SMI, MA, or Bollinger Bands.
Selected Day: Monday, Tuesday, Wednesday, Thursday, or Friday.
Candles to Compare: The number of the candle in the next day or subsequent days (from 1 to 30).
Indicator Parameters: Lengths, levels (e.g., oversold/overbought for RSI).
Background Colors: Configurable highlights for buy and sell signals.
Notes
Timeframes: The indicator is optimized for timeframes up to 1 day (e.g., 1D, 12H, 8H, 6H, 4H, 1H, 15M), as the analysis relies on day-of-week patterns. Timeframes lower than 1 day generate more signals due to the higher number of candles per day.
Candle Shift: The first candle of the next day may appear shifted on the chart due to timezone differences, affecting the timing of signals across markets or platforms.
Statistical Limitations: Results are based on the closing prices of the selected candle, ignoring fluctuations in earlier candles, within the candle, or subsequent price movements. Traders must assess whether entering at the open or after the close of the selected candle is profitable.
Testing: Effectiveness depends on historical data and parameter settings. Testing different configurations across markets and timeframes is recommended.
Who Is It For?
Swing and position traders who base decisions on technical analysis and historical patterns.
Market analysts seeking patterns in price behavior by day of the week.
TradingView users of all experience levels, thanks to an intuitive interface and flexible settings.
Volume Weighted Average PriceTitle: VWAP with Confirmed Breakout Color Shift
Description:
This is an enhanced Volume Weighted Average Price (VWAP) indicator that dynamically changes color based on confirmed price breakouts above or below the VWAP line.
✅ Green VWAP line indicates a strong bullish move (price has broken above VWAP by at least 0.2%).
🔻 Red VWAP line signals a bearish move (price has dropped below VWAP by at least 0.2%).
⚪️ Neutral gray is used when price is near VWAP without clear breakout confirmation.
Includes optional upper/lower bands based on either standard deviation or percentage distance from VWAP.
Ideal for identifying market bias and confirming momentum shifts in real time.
HalfTrend cross 2.0 LcfxCore Functionality
HalfTrend Baseline
Plots a dynamic trend-following line that alternates between blue (bullish) and red (bearish)
Uses amplitude and channel deviation settings to adapt to market volatility
Shows ATR-based channels around the trend line (optional)
Key Signals:
Reversal Signals: Traditional arrows at trend reversal points
Cross Signals: Basic "B"/"S" labels when price crosses the HalfTrend line
Re-Cross Signals: Special "RB"/"RS" labels for strategic re-entry opportunities
Unique Re-Cross Logic
Bullish Trend:
Triggers RB (Re-Cross Buy) only when:
Price first crosses BELOW HalfTrend (bearish cross)
Then crosses BACK ABOVE HalfTrend
Only the FIRST such occurrence in current bullish trend
Bright green "RB" label
Bearish Trend:
Triggers RS (Re-Cross Sell) only when:
Price first crosses ABOVE HalfTrend (bullish cross)
Then crosses BACK BELOW HalfTrend
Only the FIRST such occurrence in current bearish trend
Orange "RS" label
Smart Signal Management
Prevents signal spam by allowing only one re-cross signal per trend phase
Automatically resets signals when trend reverses
Dedicated alerts for all signal types
Customizable visual elements (colors, channels, arrows)
Practical Use Case
Identifies high-probability continuation entries:
RB signals: Potential add-to-position points in uptrends after minor pullbacks
RS signals: Shorting opportunities in downtrends after dead-cat bounces
This enhanced version reduces noise while highlighting strategic trade setups where price temporarily violates the trend line but quickly reconfirms the dominant trend direction.
Cumulative Volume Delta with MAdelta scirpt with single ma , good on 5 minute for single ma and higher time framess
Weekly PO3 Market Structure ToolThis script is designed to assist traders in identifying the "Power of Three" (PO3) model on a weekly basis — as taught by ICT (Inner Circle Trader).
It automatically plots:
- The **Weekly Open**, a crucial reference level for detecting manipulation zones.
- **Weekly High and Low**, to frame liquidity zones and potential sweep areas.
- A customizable **Manipulation Zone**, calculated as a percentage range above and below the weekly open.
The PO3 model breaks market structure into:
1. Accumulation (early-week range)
2. Manipulation (false breakouts and liquidity grabs)
3. Distribution (true directional move)
This tool helps visualize those stages and align trades with smart money behavior.
Best used on 1H, 4H, or 15M timeframes for clarity.
Tip: Combine with FVGs, Order Blocks, and time-of-day filters for enhanced setups.
BTC vs 美元指数(DXY) 强度指标1. Introduction
一、 指标简介
In the grand game of macroeconomics, the relationship between Bitcoin (BTC) and the US Dollar Index (DXY) is a key barometer for market risk appetite versus risk-aversion.
在宏观经济的大棋局中,比特币(BTC)与美元指数(DXY)的强弱关系,是衡量市场风险偏好与避险情绪的核心风向标。
It is often said that "BTC is a hedge against a falling dollar." This indicator is built upon this classic logic, providing you with a quantitative and intuitive analytical tool.
交易员们常说「BTC 是抗美元下跌的工具」,本指标正是基于这一经典逻辑,为您提供一个量化、直观的分析工具。
The BTC vs. DXY Strength Index helps you gain insight into critical questions by calculating the relative performance spread between the two assets, combined with statistical tools (Bollinger Bands) and significant historical macro signals (DXY weekly death cross):
BTC vs 美元指数(DXY) 强度指标 通过计算两者的相对表现差异,并结合统计学工具(布林带)和重要的历史宏观信号(DXY周线死叉),帮助您洞察以下关键问题:
Is the current market dominated by BTC (risk-on) or the Dollar (risk-off)?
当前市场由 BTC 主导(风险偏好),还是由美元主导(避险情绪)?
Has the strength relationship between them reached an extreme level where a reversal is possible?
两者之间的强弱关系是否达到了可能逆转的极端水平?
Has a major macro reversal signal, which has historically triggered significant market shifts, appeared?
是否出现了历史上曾多次引发市场巨变的宏观反转信号?
2. Features & Interpretation
二、 核心功能与解读
2.1. Performance Spread Histogram
1. 强度差柱状图
The core of the indicator is a histogram extending from the zero line, representing the performance spread of BTC relative to DXY.
指标的核心是一系列从 0 轴延伸的柱状图,它代表了 BTC 相对于 DXY 的表现强度差。
Green Bars (Positive Value): Indicates that BTC has outperformed the DXY over the period. The taller the green bar, the stronger BTC's momentum and the higher the market's risk appetite.
绿色柱 (正值): 代表在该周期内,BTC 的表现优于美元指数。绿色柱越高,说明 BTC 越强势,市场风险偏好情绪越高。
Red Bars (Negative Value): Indicates that the DXY has outperformed BTC. The deeper the red bar, the stronger the Dollar and the more prevalent the risk-off sentiment.
红色柱 (负值): 代表在该周期内,美元指数的表现优于 BTC。红色柱越深,说明美元越强势,市场避险情绪越浓。
2.2. Bollinger Bands Extreme Signal
2. 布林带极端信号
The indicator calculates Bollinger Bands for the "performance spread" in the background. When the histogram breaks above or below the bands, an alert is triggered.
指标在后台对「强度差」计算布林带。当柱状图突破上下轨时,会触发警报。
Breakout Above Upper Band: BTC's strength relative to DXY has reached a statistical extreme, signaling caution for a potential mean reversion (e.g., a BTC pullback or DXY strengthening).
向上突破: BTC 相对于 DXY 的强势达到了统计上的极端,警惕短期关系回归(例如 BTC 回调或 DXY 走强)。
Breakdown Below Lower Band: BTC's weakness relative to DXY has reached a statistical extreme, signaling a potential opportunity for a bounce (e.g., BTC strengthening or DXY pulling back).
向下突破: BTC 相对于 DXY 的弱势达到了统计上的极端,关注潜在的反弹机会(例如 BTC 走强或 DXY 回调)。
2.3. DXY Historical Anomaly Signal
3. DXY 历史规律信号
This is the essence of this indicator. Based on research from Coindesk analysts, the "Death Cross" (50-week MA crossing below the 200-week MA) on the DXY weekly chart has often acted as a contrarian indicator—a "bear trap"—since 2009.
这是本指标的精髓所在。根据 Coindesk 分析师的研究,自 2009 年以来,美元指数(DXY)周线级别的「死亡交叉」(50周均线下穿200周均线)往往是一个反向指标,即「空头陷阱」。
Instead of preceding a bear market for the dollar, it has repeatedly marked major cyclical bottoms for the DXY.
它非但没有引发美元的熊市,反而屡次成为美元阶段性大底的标志。
Blue Background Highlight: When the indicator detects a "Death Cross" on the DXY weekly chart, the background will turn blue, and a high-priority alert will be triggered. This is designed to warn you that, based on historical patterns, the US Dollar may be about to bottom and strengthen, posing a significant potential bearish risk for BTC.
蓝色背景高亮: 当指标检测到 DXY 周线图上形成「死亡交叉」时,指标背景会变为蓝色,并触发最高优先级的警报。这旨在提醒您:根据历史规律,美元可能即将见底走强,这对 BTC 构成潜在的重大利空风险,需高度警惕!
3. Settings
三、 主要功能与设定
Customizable symbols for BTC and DXY.
可自定义 BTC 和 DXY 的交易对。
Freely adjustable periods for performance calculation and Bollinger Bands.
可自由调整表现计算周期、布林带参数。
Configurable MA periods for the DXY Death Cross detection, with the ability to toggle this signal on or off.
可配置 DXY 死亡交叉的均线周期,并自由开关此信号的显示。
Includes a comprehensive info panel and alert system.
包含功能全面的信息面板与警报系统。
Disclaimer: This indicator is a tool for supplementary macro analysis and is intended to provide a reference for market sentiment. It does not constitute any investment advice. All trading decisions should be based on your own research and risk assessment. Happy trading!
免责声明: 本指标是辅助宏观分析的工具,旨在提供市场情绪的参考,不构成任何投资建议。所有交易决策都应基于您自己的研究和风险判断。祝您交易顺利!
Correlation & Mean Reversion - Paired Stocks/ETFs TradingThis indicator is designed to analyze pair trading opportunities between two assets by evaluating:
🔧 Core Features
1. Symbol Pair Analysis
Takes two input symbols (Symbol A, Symbol B).
Calculates the price ratio (A/B) and compares it to a user-defined targetRatio.
2. Z-Score of Ratio
Computes Z-Score of the ratio over a user-defined lookback window to measure how far the ratio deviates from its mean.
This gauges whether the ratio is likely to revert to the mean.
3. Reversion Probability
Applies a normal CDF approximation to Z-Score to estimate the probability of mean reversion.
Flags moderate (80%+) and strong (95%+) reversion signals.
4. Correlation
Calculates the rolling correlation of log returns between Symbol A and Symbol B.
Useful to confirm if the assets historically move together.
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.
Simple Market Kill-Zones + Open (UTC)What it does
This Pine v6 indicator highlights the “kill-zones” around the big session opens—Asian (23:00–03:00 UTC), London (07:00–09:00 UTC) and New York (13:30–15:30 UTC)—by reading each bar’s actual UTC timestamp. It also draws dashed vertical lines at exactly 23:00, 07:00 and 13:30 UTC, so you never miss the liquidity ramps. Because it uses raw UTC hours/minutes, it stays accurate even when exchanges pause (e.g. Nano-BTC’s daily halt) or your chart’s display timezone changes.
Key Inputs
Show Asia/London/NY Kill Zone – toggle each shaded band on/off
Zone Colors – pick your own semi-transparent hues
Show Session-Open Lines – enable dashed verticals at the exact open times
Line Colors – customize the line opacity and style
How to use
Apply on your favorite timeframe (15 min–1 h is a sweet spot).
Toggle the zones you care about and pick readable colors.
Use the dashed lines as entry triggers or as visual bookmarks.
In your own Pine strategies, wrap order logic with the zone booleans to only trade when liquidity’s alive.