Growing or Waning Patterns [Alerts]Example how to color patterns of 3 bodies growing or waning by percentage with or without trend. Also included option for alert triggers. The yellow triangles on the chart denote where the alert triggers will fire.
• Choose Pattern Of Filter: shows bodies growing or waning or both.
• Sample Lengths Of AvgBar: number of recent bars to use for average size.
• BigBar Is Min% Of AvgBar: the minimum percent of average the big bar must be.
• MedBar Is Max% Of BigBar: the maximum percent of big bar the medium bar can be.
• SmlBar Is Max% Of MedBar: the maximum percent of medium bar the small bar can be.
• Repeat Pattern If n Bars: the number of bars to ignore repeat patterns, 1 allows all.
• Trending: on requires the growing or waning patterns to also be trending.
• GrayBars: colors non pattern bodies gray.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
在腳本中搜尋"momentum"
Waddah Attar Explosion [smillal]This is just a slightly altered version of Lazy Bear's great indicator
with the added feature to draw the explosion line in different colors while it is currently rising or falling.
BP Scalper with resistance barsThis Script is used for scalping on the 15 min. It can do the other time frames but i built it for primarily the 15. There is some logic where i use the previous candles and i'm using intervals of 4 to get 1 hour estimates. This also works with the 1 hour, because the 4 hour is what it will compare with.
It uses Buy volume and sell volume to create the indicators.
If the buy volume starts losing traction on the sell volume the indicator triggers.
JSE Market Breadth Stocks>MAThis indicator is for the Johannesburg Stock Exchange (JSE) and indicates the number of stocks in the Top 40 Index above its selected Smooth Moving Average (SMA). Typically the 200SMA is used to see the longer term health of the market and the 50SMA for a short term view. Currently the market has reached a point that less than 2% of stocks were above their 200SMA which is the lowest since 2013.
TrapTradingBuy on dips and sell into rallies. Simple as that.
- Short line (green)
- Base line (white)
- Long line (red)
When the market price touches the white or the red(green) lines, buy(sell) orders are generated.
The exit points are 2 lines above(below) the entries.
Parameters
- Period: It affects the value of Base line and the spacing of each line.
- Multiple: Specify the spacing between each line.
Frosted 12 EMA WIDTHThis is a complementary indicator for the 12 EMAs indicator ()
This width indicator shows the fanning width of each fan (shorter MAs and longer MAs).
To make things easier to see:
You can turn off one of the histograms to view just one of the widths (and add a 2nd instance of this indicator, turning off the other width).
B3 Directional Trend IndexB3 Directional Trend Index ~ All about the trend! William Blau is the designer of this gem, and IMHO it is the best trend finder of all the lagging indicators out there I have tested. It is important to pay attention to the slope and thickness of the line, and its relationship to zero. A reversion to the zero may look momentous, but in fact it could reverse when it reaches mean, only to turn back around. You can see this in March and April of this silver futures daily chart. Makes for a great instrument on anything you consider trendy, like crude oil for example. The default user inputs are set to my liking, as I find them to be great on all charts and resolutions. You may read around to find more about this on the internet, or its mentioned in Krausz's work. Also, imprtant to remember when no trend, trend finders like this sufffer, so be wise as to what market condition you are in. Rangy and within Range = no, On the Move = yes.
UCS_Momentum OscillatorI am not sure if someone else has already thought about it. But this is something I use to measure the meaningful oversold and overbought level, provided the stock is in a trend. I will add a Trend Indicator along with this in the next version.
I have added RSI, ROC, Stoch to compare. From the code below, i am using Stochastic, but the idea is same, if you use RSI. Experiment with your own comfortable time frames.
This is not a holy grail, The oversold and overbought in a trend transition period could be misleading. But over all, Its a good measure to trade overbought and oversold region
List of All my Indicators - www.tradingview.com
DTC AIO [India]✨ DTC AIO — The Ultimate All-in-One Market Intelligence Suite
DTC AIO isn’t just another indicator—it’s a complete market intelligence dashboard, purpose-built for Indian equities. Designed for traders who demand more than just signals, DTC AIO fuses professional-grade analytics, pattern recognition, and actionable insights into a single, visually stunning overlay.
✨ What Makes DTC AIO Unique?
All-in-One Dashboard: No more juggling multiple indicators. DTC AIO brings together volatility, volume, trend, momentum, pattern recognition, and even earnings data—right on your chart.
Dynamic Visuals: Modern, theme-adaptive tables and color-coded highlights make complex data instantly readable, whether you prefer dark or light mode.
Pattern Powerhouse: Go beyond the basics with advanced pattern detection—mini-coils, inside bars (with candle coloring!), pocket pivots, and strict shakeout logic.
Burst Ranker: Proprietary “Power Gauge” quantifies explosive price action (+5%, +10%, +17% days) and visualizes it with a unique scoring system.
Earnings Intelligence: See quarterly EPS and sales, with YoY and optional QoQ growth, in a clean, auto-updating table—no more hunting for fundamentals.
Sector/Industry Awareness: Instantly know the context of any stock with sector and industry tags, right on your chart.
Customizable Everything: From moving average types to table positions and text sizes, DTC AIO adapts to your workflow.
🚀 Feature Highlights
Main Metrics Table: ADR%, Relative Volume, 50D Avg Volume, U/D Ratio, and RS vs. custom benchmarks.
Momentum Table: See price distance from key EMAs and 52-week highs/lows, color-coded for clarity.
Pattern Recognition: Mini-coil, inside bar (with painted colored bar), pocket pivot, and shakeout detection—each with visual cues.
Burst Ranker Table: Track and score high-momentum days over your chosen lookback period.
Earnings & Sales Table: Quarterly EPS and sales, YoY and optional QoQ growth, all in one place.
Sector/Industry Table: Know the bigger picture at a glance.
🛠️ Built for the Demanding Trader
DTC AIO is engineered for those who want a true edge—combining technical, fundamental, and behavioral analytics in a single, elegant package. Whether you’re scanning for breakouts, tracking momentum, or analyzing earnings, DTC AIO is your all-in-one solution.
Ready to level up your trading? Add DTC AIO to your chart and experience the difference.
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.
RSI OS/OB Background StripesThe "RSI OS/OB Background Stripes" indicator is a simple tool designed to help traders visualize overbought and oversold market conditions using the Relative Strength Index (RSI). It highlights these conditions by displaying colored background stripes directly on your chart, making it easy to spot potential trading opportunities.
How It Works:RSI Calculation: The indicator calculates the RSI, a popular momentum indicator that measures the speed and change of price movements, using a default period of 14 (customizable).
Overbought/Oversold Levels: It marks areas where the RSI is above a user-defined overbought level (default: 70) with red background stripes, and below an oversold level (default: 30) with green background stripes.
Visual Feedback: The colored stripes appear on the chart when the RSI enters overbought (red) or oversold (green) zones, helping you quickly identify market conditions.
Customization: You can adjust the RSI period, overbought/oversold levels, background colors, and transparency. You can also choose to show the RSI line in a separate panel or display RSI values on the chart for debugging.
Alerts: The indicator includes optional alerts that notify you when the RSI crosses into overbought or oversold territory.
Who It’s For: This indicator is perfect for beginner and intermediate traders who want a clear, visual way to track RSI-based overbought and oversold conditions without cluttering their charts.
Key Features:Easy-to-read background stripes for overbought (red) and oversold (green) conditions.
Fully customizable RSI settings, colors, and transparency.
Optional RSI plot and value display for deeper analysis.
Alerts to keep you informed of key RSI level crossings.
This indicator is a straightforward way to monitor market momentum and make informed trading decisions.
Fisher Transform Background StripesThe "Fisher Transform Background Stripes" indicator is an easy-to-use tool that helps traders identify extreme market conditions using the Fisher Transform, a technical indicator that normalizes price data to highlight potential reversals. It displays colored background stripes on your chart to show when the market is oversold or undersold, making it simple to spot trading opportunities.
How It Works:Fisher Transform Calculation: The indicator calculates the Fisher Transform based on a user-defined period (default: 9), using the average of high and low prices to measure market momentum and identify extreme price movements.
Oversold/Undersold Levels: It highlights when the Fisher Transform is above a user-set oversold level (default: 3.0) with red background stripes, or below an undersold level (default: -2.0) with green background stripes.
Visual Feedback: Red and green stripes appear on the chart to mark oversold or undersold conditions, helping you quickly understand market extremes.
Customization: You can adjust the Fisher Transform period, oversold/undersold levels, background colors, and transparency. You can also enable an optional Fisher Transform plot or display values on the chart for debugging.
Wait for Close Option: You can choose whether the indicator waits for the timeframe’s candle to close before showing stripes, ensuring more reliable signals.
Alerts: Optional alerts notify you when the Fisher Transform crosses into oversold or undersold zones (always using confirmed values for accuracy).
Who It’s For: This indicator is ideal for beginner and intermediate traders looking for a clear, visual way to track extreme market conditions and potential reversals using the Fisher Transform.
Key Features:Colored background stripes for oversold (red) and undersold (green) conditions.
Customizable settings for period, levels, colors, and transparency.
Option to wait for candle close for more accurate signals.
Optional Fisher Transform plot and value display for analysis.
Alerts to notify you of key Fisher Transform level crossings.
This indicator provides a straightforward way to monitor market extremes and make informed trading decisions.
Civan Ali'nin Sihirli Çizgisi🧙♂️ Civan Ali’s Magic Line
Sense the trends, don’t miss the moves!
This strategy is built on two magically effective foundations:
📏 Moving Averages (WMA 50 & 200) and
🧠 CCI signals powered by the IFT Combo filter.
How It Works
🔹 When price starts accelerating upward and the short-term average (WMA50) crosses above the long-term (WMA200), a potential long signal forms.
🔻 If it crosses downward, a short signal is considered.
But it doesn’t jump in immediately!
🎯 To avoid “noisy” market moves, the system uses an Inverse Fisher Transform (IFT) filter.
Only when momentum is truly strong does it allow trades.
Why It’s Different
✅ Detects trend direction
✅ Filters out weak signals
✅ Manages risk and profit intelligently
And while doing all that, it warns you with magical labels and emojis on the chart.
In short: It’s both effective and entertaining. 🎯
