Entry (MTF) - Three phase Reversal patternOf course. We can absolutely reframe the explanation to give the strategy a more unique or generalized name, focusing on the concepts rather than the specific mentor.
Here is a revised, in-depth guide for your "Entry(MTF)" indicator, presented as the **"Momentum Shift Entry Model."**
***
### Entry (MTF) Indicator: A Guide to the Momentum Shift Model
This powerful indicator is designed to automatically detect a high-probability **Momentum Shift Entry Pattern**. The core strategy is to identify moments where the market's direction is likely to make a significant and sustained reversal, often driven by institutional order flow.
The indicator's key advantage is its **Multi-Timeframe (MTF)** functionality. It allows you to find these robust setups on a higher timeframe (like the daily chart) and then projects those signals onto your active, lower timeframe chart (like the 15-minute), providing a clear strategic edge for timing your entries.
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## The Core Logic: The Three-Phase Reversal Pattern
This indicator is not based on a simple lagging condition. It looks for a specific three-step sequence of events. This sequence validates a genuine shift in market control from sellers to buyers (or vice-versa), filtering out false moves.
### Step 1: The Liquidity Purge 🎯
First, the indicator identifies recent, significant swing highs and lows on the chart. These price levels are natural magnets for liquidity, as many traders place their stop-loss orders there.
* **A Bullish Setup** begins when the price first dips **below a recent swing low**. This action is often an engineered move to "purge" or "sweep" the sell-side liquidity resting there before a move higher.
* **A Bearish Setup** begins with a price spike **above a recent swing high**, clearing out the buy-side liquidity.
This initial phase is designed to trap traders on the wrong side of the market before the true move begins.
### Step 2: The Market Structure Shift (The Confirmation) 🔄
After the liquidity has been taken, the indicator needs confirmation that a real power shift has occurred. This is confirmed by a **Market Structure Shift (MSS)**.
* After a **bullish purge (of a low)**, an MSS is confirmed when the price aggressively rallies and closes **above a recent swing *high***. This proves that buyers have not only absorbed all the selling but are now strong enough to break previous resistance levels.
* After a **bearish purge (of a high)**, an MSS is confirmed when the price falls and closes **below a recent swing *low***, showing that sellers are now decisively in command.
### Step 3: The Price Imbalance (The Entry Zone) GAP) is created during the same powerful move that caused the Market Structure Shift. A Fair Value Gap, or **price imbalance**, is a three-candle pattern that signifies a very aggressive, one-sided move, leaving a gap in the market that price will often seek to re-fill.
This FVG acts as the signature of institutional activity and becomes a high-probability zone for planning a trade entry.
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## How to Use the Indicator in Your Trading
The true strength of this indicator lies in combining the higher-timeframe signal with the immediate context of your trading timeframe.
### Reading the Signals and Visuals
* **`BUY` / `SELL` Labels:** These are your primary signals, generated from the **"Signal Timeframe"** you select (e.g., Daily). A "BUY" label indicates that the complete three-phase bullish pattern has been confirmed on that higher timeframe.
* **Dotted Lines (Liquidity Levels):** The red and green dotted lines on your chart mark the most recent swing high and low on your **current timeframe**. These are the levels to watch for a potential "Liquidity Purge."
* **Colored Boxes (Imbalance Zones):** The green (bullish) and red (bearish) boxes highlight the Fair Value Gaps on your **current timeframe**. These are your potential entry zones.
### A Potential Trading Strategy
1. **Set Your Signal Timeframe:** Choose a higher timeframe that you use to define the overall trend (e.g., 'D' for daily, '4H' for 4-hour).
2. **Wait for an HTF Signal:** Patiently wait for a `BUY` or `SELL` label to appear. This is your cue to begin actively looking for an entry.
3. **Find a Local Entry Zone:** Once a `BUY` signal from the higher timeframe appears, look for the price on your current chart to retrace into a nearby **bullish FVG (green box)**. For a `SELL` signal, look for a pullback into a **bearish FVG (red box)**.
4. **Entry:** Plan your entry as the price tests this imbalance zone.
5. **Stop Loss:** A logical stop loss is critical. For a buy trade, place your stop below the swing low that was formed during the MSS. For a sell trade, place it above the corresponding swing high.
6. **Take Profit:** Aim for a significant liquidity level on a higher timeframe or use a predetermined risk-to-reward ratio (e.g., 1:2, 1:3).
---
## Customizing the Settings
* **`Signal Timeframe`**: The most critical setting. It determines the timeframe from which the core buy/sell logic originates. A Daily signal will carry more weight than an H1 signal.
* **`Liquidity/MSS Lookback`**: This controls the significance of the swing points the indicator uses.
* **Higher value:** Finds major, long-term swing points, leading to fewer but more powerful signals.
* **Lower value:** Finds minor, short-term swing points, leading to more frequent but potentially less reliable signals.
* **`Show Current TF Fair Value Gaps`**: This toggles the visibility of the imbalance zones (FVG boxes) on your chart. It is highly recommended to keep this enabled to easily spot your entry areas.
In den Scripts nach "liquidity" suchen
SMC Structures and Multi-Timeframe FVG PYSMC Structures and Multi-Timeframe FVG Indicator
Tip: For optimal performance, adjust the number of FVGs displayed per timeframe in the settings. On high-performance devices, up to 8 FVGs per timeframe can be used without issues. If you experience slowdowns, reduce to 3 or 4 FVGs per timeframe. If the chart flashes, disable indicators one by one to identify conflicts, or try using the TradingView Mobile or Windows App for a smoother experience.
Overview
This Pine Script indicator enhances market analysis by integrating Smart Money Concepts (SMC) with Fair Value Gaps (FVG) across multiple timeframes. It identifies trend continuations (Break of Structure, BOS) and trend reversals (Change of Character, CHoCH) while highlighting liquidity zones through FVG detection. The indicator includes eight customizable Moving Average (MA) curve templates, disabled by default, to complement SMC and FVG analysis. Its originality lies in combining multi-timeframe FVG detection with SMC structure analysis, providing traders with a cohesive tool to visualize price action patterns and liquidity zones efficiently.
Features and Functionality
1. Fair Value Gaps (FVG)
The indicator detects and displays bullish, bearish, and mitigated FVGs, representing liquidity zones where price inefficiencies occur. These gaps are dynamically updated based on price action:
Bullish FVG: Displayed in green when unmitigated, indicating potential upward liquidity zones.
Bearish FVG: Displayed in red when unmitigated, signaling potential downward liquidity zones.
Mitigated FVG: Shown in gray once the gap is partially filled by price action.
Fully Mitigated FVG: Automatically removed from the chart when the gap is fully filled, reducing visual clutter.
Users can customize the number of historical FVGs displayed via the settings, allowing focus on recent liquidity zones for targeted analysis.
2. SMC Structures
The indicator identifies key SMC price action patterns:
Break of Structure (BOS): Marked with gray lines, indicating trend continuation when price breaks a significant high or low.
Change of Character (CHoCH): Highlighted with yellow lines, signaling potential trend reversals when price fails to maintain the current structure.
High/Low Values: Blue lines denote the highest high and lowest low of the current structure, providing reference points for market context.
3. Multi-Timeframe FVG Analysis
A standout feature is the ability to analyze FVGs across multiple timeframes simultaneously. This allows traders to align higher-timeframe liquidity zones with lower-timeframe entries, improving trade precision. The indicator fetches FVG data from user-selected timeframes, displaying them cohesively on the chart.
4. Moving Average (MA) Templates
The indicator includes eight customizable MA curve templates in the Settings > Template section, disabled by default. These templates allow users to overlay MAs (e.g., SMA, EMA, WMA) to complement SMC and FVG analysis. Each template is pre-configured with different periods and types, enabling quick adaptation to various trading strategies, such as trend confirmation or dynamic support/resistance.
How It Works
The script processes price action to detect FVGs by analyzing three-candle patterns where a gap forms between the high/low of the first and third candles. Multi-timeframe data is retrieved using Pine Script’s request.security() function, ensuring accurate FVG plotting across user-defined timeframes. BOS and CHoCH are identified by tracking swing highs and lows, with logic to differentiate trend continuation from reversals. The MA templates are computed using standard Pine Script TA functions, with user inputs controlling visibility and parameters.
How to Use
Add to Chart: Apply the indicator to any TradingView chart.
Configure Settings:
FVG Settings: Adjust the number of historical FVGs to display (default: 10). Enable/disable specific FVG types (bullish, bearish, mitigated).
Timeframe Selection: Choose up to three timeframes for FVG analysis (e.g., 1H, 4H, 1D) to align with your trading strategy.
Structure Settings: Toggle BOS (gray lines) and CHoCH (yellow lines) visibility. Adjust sensitivity for structure detection if needed.
MA Templates: Enable MA curves via the Template section. Select from eight pre-configured MA types and periods to suit your analysis.
Interpret Signals:
Use green/red FVGs for potential entry points targeting liquidity zones.
Monitor gray lines (BOS) for trend continuation and yellow lines (CHoCH) for reversal signals.
Align multi-timeframe FVGs with BOS/CHoCH for high-probability setups.
Optionally, use MA curves for trend confirmation or dynamic levels.
Clean Chart Usage: The indicator is designed to work standalone. Ensure no conflicting scripts are applied unless explicitly needed for your strategy.
Why This Indicator Is Unique
Unlike standalone FVG or SMC indicators, this script combines both concepts with multi-timeframe analysis, offering a comprehensive view of market structure and liquidity. The addition of customizable MA templates enhances flexibility, while the dynamic removal of mitigated FVGs keeps the chart clean. This mashup is purposeful, as it integrates complementary tools to streamline decision-making for traders using SMC strategies.
Credits
This indicator builds on foundational SMC and FVG concepts from the TradingView community. Some open-source code was reused, and do performance enhancement as you guys can read the code. This type of indicators has inspiration was drawn from public domain SMC methodologies. All code is partly original with manual work on performance optimization in Pine Script.
Notes
Ensure your chart is clean (no unnecessary drawings or indicators) to maximize clarity.
The indicator is open-source, and traders are encouraged to review the code for deeper understanding.
For optimal use, test the indicator on a demo account to familiarize yourself with its signals.
RSI ADX Bollinger Analysis High-level purpose and design philosophy
This indicator — RSI-ADX-Bollinger Analysis — is a compact, educational market-analysis toolkit that blends momentum (RSI), trend strength (ADX), volatility structure (Bollinger Bands) and simple volumetrics to provide traders a snapshot of market condition and trade idea quality. The design philosophy is explicit and layered: use each component to answer a different question about price action (momentum, conviction, volatility, participation), then combine answers to form a more robust, explainable signal. The mashup is intended for analysis and learning, not automatic execution: it surfaces the why behind signals so traders can test, learn and apply rules with risk management.
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What each indicator contributes (component-by-component)
RSI (Relative Strength Index) — role and behavior: RSI measures short-term momentum by comparing recent gains to recent losses. A high RSI (near or above the overbought threshold) indicates strong recent buying pressure and potential exhaustion if price is extended. A low RSI (near or below the oversold threshold) indicates strong recent selling pressure and potential exhaustion or a value area for mean-reversion. In this dashboard RSI is used as the primary momentum trigger: it helps identify whether price is locally over-extended on the buy or sell side.
ADX (Average Directional Index) — role and behavior: ADX measures trend strength independently of direction. When ADX rises above a chosen threshold (e.g., 25), it signals that the market is trending with conviction; ADX below the threshold suggests range or weak trend. Because patterns and momentum signals perform differently in trending vs. ranging markets, ADX is used here as a filter: only when ADX indicates sufficient directional strength does the system treat RSI+BB breakouts as meaningful trade candidates.
Bollinger Bands — role and behavior: Bollinger Bands (20-period basis ± N standard deviations) show volatility envelope and relative price position vs. a volatility-adjusted mean. Price outside the upper band suggests pronounced extension relative to recent volatility; price outside the lower band suggests extended weakness. A band expansion (increasing width) signals volatility breakout potential; contraction signals range-bound conditions and potential squeeze. In this dashboard, Bollinger Bands provide the volatility/structural context: RSI extremes plus price beyond the band imply a stronger, volatility-backed move.
Volume split & basic MA trend — role and behavior: Buy-like and sell-like volume (simple heuristic using close>open or closeopen) or sell-like (close1.2 for validation and compare win rate and expectancy.
4. TF alignment: Accept signals only when higher timeframe (e.g., 4h) trend agrees — compare results.
5. Parameter sensitivity: Vary RSI threshold (70/30 vs 80/20), Bollinger stddev (2 vs 2.5), and ADX threshold (25 vs 30) and measure stability of results.
These exercises teach both statistical thinking and the specific failure modes of the mashup.
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Limitations, failure modes and caveats (explicit & teachable)
• ADX and Bollinger measures lag during fast-moving news events — signals can be late or wrong during earnings, macro shocks, or illiquid sessions.
• Volume classification by open/close is a heuristic; it does not equal TAPEDATA, footprint or signed volume. Use it as supportive evidence, not definitive proof.
• RSI can remain overbought or oversold for extended stretches in persistent trends — relying solely on RSI extremes without ADX or BB context invites large drawdowns.
• Small-cap or low-liquidity instruments yield noisy band behavior and unreliable volume ratios.
Being explicit about these limitations is a strong point in a TradingView description — it demonstrates transparency and educational intent.
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Originality & mashup justification (text you can paste)
This script intentionally combines classical momentum (RSI), volatility envelope (Bollinger Bands) and trend-strength (ADX) because each indicator answers a different and complementary question: RSI answers is price locally extreme?, Bollinger answers is price outside normal volatility?, and ADX answers is the market moving with conviction?. Volume participation then acts as a practical check for real market involvement. This combination is not a simple “indicator mashup”; it is a designed ensemble where each element reduces the others’ failure modes and together produce a teachable, testable signal framework. The script’s purpose is educational and analytical — to show traders how to interpret the interplay of momentum, volatility, and trend strength.
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TradingView publication guidance & compliance checklist
To satisfy TradingView rules about mashups and descriptions, include the following items in your script description (without exposing source code):
1. Purpose statement: One or two lines describing the script’s objective (educational multi-indicator market overview and idea filter).
2. Component list: Name the major modules (RSI, Bollinger Bands, ADX, volume heuristic, SMA trend checks, signal tracking) and one-sentence reason for each.
3. How they interact: A succinct non-code explanation: “RSI finds momentum extremes; Bollinger confirms volatility expansion; ADX confirms trend strength; all three must align for a BUY/SELL.”
4. Inputs: List adjustable inputs (RSI length and thresholds, BB length & stddev, ADX threshold & smoothing, volume MA, table position/size).
5. Usage instructions: Short workflow (check TF alignment → confirm participation → define stop & R:R → backtest).
6. Limitations & assumptions: Explicitly state volume is approximated, ADX has lag, and avoid promising guaranteed profits.
7. Non-promotional language: No external contact info, ads, claims of exclusivity or guaranteed outcomes.
8. Trademark clause: If you used trademark symbols, remove or provide registration proof.
9. Risk disclaimer: Add the copy-ready disclaimer below.
This matches TradingView’s request for meaningful descriptions that explain originality and inter-component reasoning.
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Copy-ready short publication description (paste into TradingView)
Advanced RSI-ADX-Bollinger Market Overview — educational multi-indicator dashboard. This script combines RSI (momentum extremes), Bollinger Bands (volatility envelope and band expansion), ADX (trend strength), simple SMA trend bias and a basic buy/sell volume heuristic to surface high-quality idea candidates. Signals require alignment of momentum, volatility expansion and rising ADX; volume participation is displayed to support signal confidence. Inputs are configurable (RSI length/levels, BB length/stddev, ADX length/threshold, volume MA, display options). This tool is intended for analysis and learning — not for automated execution. Users should back test and apply robust risk management. Limitations: volume classification here is a heuristic (close>open), ADX and BB measures lag in fast news events, and results vary by instrument liquidity.
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Copy-ready risk & misuse disclaimer (paste into description or help file)
This script is provided for educational and analytical purposes only and does not constitute financial or investment advice. It does not guarantee profits. Indicators are heuristics and may give false or late signals; always back test and paper-trade before using real capital. The author is not responsible for trading losses resulting from the use or misuse of this indicator. Use proper position sizing and risk controls.
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Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
✅ Elev8+Overview:
The Elev8+ indicator is a multi-layered trading indicator designed to help traders identify high-probability reversal points and trend-following opportunities. By combining the Classic Elev8+ Reversal Indicator, the DI StdDev Filter, and EMA/BB Trend Fills, this indicator offers a powerful toolset for navigating volatile markets with increased accuracy.
Key Features and Logic:
Classic Elev8+ Reversal Logic:
Liquidity Sweep Signals: The indicator detects liquidity sweeps by identifying price action that breaks previous high/low points with significant volume. This is crucial for identifying strong reversal signals when the market is grabbing liquidity.
ADX Trend Filter: The ADX filter ensures that the indicator only triggers signals during strong trending conditions, reducing false signals in range-bound markets. It requires the DI+ to be greater than ADX and ADX to be above 25, confirming a trend.
Bollinger Band Wick Filter: This filter helps identify price action where wicks penetrate the outer Bollinger Bands (3 to 3.5 standard deviations), indicating a potential reversal after price extremes. This adds an extra layer of confirmation for a reversal.
DI StdDev Filter:
Volatility-Adjusted DI Filtering: The DI StdDev Filter adds a volatility component to the classic ADX strategy. It tracks the DI+ and DI- lines' standard deviation, ensuring that trend strength is not only above the threshold but also confirms significant deviations, marking high-probability trend shifts.
Dynamic Thresholds: The upper and lower thresholds for DI are dynamically adjusted based on standard deviations, enhancing the responsiveness of the indicator in fast-moving markets.
EMA and Bollinger Band Trend Fills:
EMA Trend Fill: The Elev8+ Indicator visually highlights trend direction using fast and slow EMAs. A bullish trend is indicated when the fast EMA is above the slow EMA, and a bearish trend is indicated when the fast EMA is below the slow EMA. The background is filled with a semi-transparent color to easily distinguish trending conditions.
Bollinger Band Zones: The fill between the outer Bollinger Bands is used to highlight extreme price levels. These areas often signal overbought or oversold conditions, which traders can use to confirm reversal signals.
How It Works:
The Elev8+ Indicator intelligently combines trend-following and counter-trend signals. When multiple conditions are met, such as a liquidity sweep in the opposite direction of the trend, a reversal is signaled. Traders will benefit from the following:
Buy Signal: When the conditions for a strong reversal align (liquidity sweep, low volume, and confirmed by DI StdDev or BB wick filters), a buy signal is triggered.
Sell Signal: Similarly, when bearish reversal conditions (liquidity sweep and overbought conditions) align with the DI StdDev or BB wick filters, a sell signal is triggered.
Why It's Unique:
Comprehensive Market Filters: The combination of liquidity sweeps, ADX trend strength, DI StdDev volatility filtering, and Bollinger Bands ensures the indicator provides high-quality, high-probability trade setups.
Dual Reversal and Trend Confirmation: By incorporating both trend-following (EMA fills) and reversal logic (liquidity sweeps, BB filters), this script can adapt to different market conditions, providing both trend continuation and counter-trend signals.
Customizable Inputs: Traders can fine-tune the indicator's behavior by adjusting various parameters such as ADX period, Bollinger Band standard deviation, and DI StdDev thresholds to better fit their trading style and timeframes.
How to Use:
Set Up the Indicator: Apply the Elev8+ Indicator to your chart and enable the Classic Elev8 and/or DI StdDev Filter depending on your trading preferences. You can also adjust the EMA Trend Fill for clearer trend visualization.
Monitor Signals: Pay attention to the buy and sell signals generated by the combination of liquidity sweeps, ADX filters, and volatility adjustments. Confirm trades with the EMA trend fill and Bollinger Band zones.
Adapt to Market Conditions: Customize the sensitivity of the indicator by adjusting the ADX and DI StdDev parameters, as well as the Bollinger Band settings to fit different market environments and volatility.
Chart Explanation:
The indicator includes:
Reversal and trend-following signals: Easily identifiable buy and sell signals represented by small up and down triangles.
EMA Trend Fill: A background color fill that shows the prevailing trend.
Bollinger Band Zones: Shaded areas indicating overbought or oversold conditions.
Adjustable Parameters: Users can toggle features and modify parameters to suit their trading strategy.
VP + Game Theory Integrated Strategy9s için DüşünceVP + Game Theory Integrated Strategy Indicator: Explanation and Working Logic
Hello! You can upload the provided Pine Script code to TradingView. This is compatible with Pine Script Editor (v6 version) – simply copy-paste it directly. The indicator's name is "VP + Game Theory Integrated Strategy," and since overlay=true, it will display on top of the price chart (over the candlesticks). Maximum boxes, lines, and labels are set to 500, so it handles dense charts without performance issues.
Below, I'll provide a detailed explanation of the indicator, its working logic, main components, and usage tips step by step. This indicator integrates Volume Profile (VP), Game Theory, and Wick (Candle Wick) Patterns to generate buy/sell signals. It aims to detect high-probability reversal points by analyzing market liquidity, herd behavior, and institutional movements. It's suitable for crypto, forex, or stock markets, but always backtest before using in live trading.
1. General Description
Purpose: This indicator combines volume-based analysis (Volume Profile), game theory elements (herd behavior, Nash equilibrium, contrarian strategies), and candle wick patterns. It identifies strong resistance/support levels (POC, VAH/VAL, liquidity zones) and generates "Power" signals based on them. Signals are shown with labels, lines, and alerts for buy (green) or sell (red).
Key Features:
Volume Profile (VP): Calculates high-volume areas (POC: Point of Control, the highest volume level; VAH/VAL: Value Area High/Low) and displays them on the chart.
Game Theory (GT): Models the market as "players" (retail herd, institutions). Detects herd buying/selling panics and generates contrarian signals.
Wick-Based Signals: Captures reversals with large wicks. Applies strict criteria for "Power" and "Ultra Power" levels.
Market Maker (MM) Elements: Monitors liquidity traps and institutional volume spikes.
Visualization: Nash bands, liquidity boxes, info table (top-right), background colors, and alerts.
Signal Types: Normal, Power, Ultra Power, GT-confirmed. Signals are limited (max 1-5 per zone) with a minimum wait time (40 bars).
Input Parameters: Grouped into 3 sections (GT, Wick, VP, MM). Default values are balanced, but customizable (e.g., strictMode=true makes it more selective).
Warning: This is an indicator, not a full strategy. It includes alerts, but add stop-loss/take-profit for risk management. Use TradingView's Strategy Tester for backtesting.
2. Working Logic (Step by Step)
The indicator processes each bar (candle) as follows:
a. Basic Calculations
ATR (Average True Range): Measures volatility (20 periods). Candle size (high-low) must be at least ATR x 2.5 for signals to be valid.
Candle Components: Calculates candle body (close-open), upper/lower wick.
Volume Analysis: Average volume (SMA 20), detects spikes (based on threshold).
Trend Filter: EMAs (20/50/200) determine up/downtrend. In strict mode, it's stricter (strong uptrend: EMA20 > EMA50 > EMA200 and close > EMA20).
b. Game Theory (GT) Component
Herd Behavior: RSI (14) overbought/oversold (70/30) + volume spike + momentum detects it. Herd buying: Overbuying frenzy (red background). Herd selling: Selling panic (green background).
Institutional Flow: Volume > average x 2.5 + Accumulation/Distribution (AD) indicator. Accumulation: Institutions buying (strengthens buy signals). Distribution: Selling (strengthens sell).
Liquidity Traps: In the last 50 bars, if a new high/low is broken but close pulls back + volume spike = Trap (up/down).
Smart Money: Intra-candle movement (close-open)/(high-low) x volume. Positive = Smart money inflow.
Nash Equilibrium: Price mean (SMA 100) ± deviation (stdev x 0.02). In equilibrium: Normal. Above: Sell potential. Below: Buy. Bands are optionally shown.
GT Signals:
Contrarian: Herd selling + accumulation = Buy.
Momentum: Below Nash + positive smart money = Buy (opposite for sell).
Nash Reversion: Below Nash + rising close + volume = Buy.
Power Signal: At least 3 GT signals (min_signals_for_power=3) + volume confirmation = Power GT buy/sell. Can show only GT-confirmed signals (show_gt_only_signals=true).
c. Volume Profile (VP) Component
Calculation: For the last 100 bars (vpPeriod), divides the price range (high-low) into vpRows (24) rows. Distributes volume across rows.
POC (Point of Control): Highest volume level (orange line). Threshold 80% (pocThreshold).
Value Area (VA): 70% of total volume (valueAreaPercent). VAH (upper bound, blue dotted), VAL (lower bound).
High-Volume Area: Price near POC or volume > POC x 80% = Strong zone.
Visualization: Histogram boxes on the right (blue/orange). POC/VAH/VAL lines and labels.
d. Wick (Candle Wick) and Power Signals
Main Wick Criteria: Large candle (ATR x 2.5), small body (<8%), wick 8x body length (anaFitilCarpan) and 80% of candle (anaFitilYuzde). High volume + trend filter (downtrend for upper wick).
Signal Wick: More flexible for triggers (5x length, 70%).
Power/Ultra Power:
Power Sell: Main upper wick + near POC/VAH + MM volume (2.5x) + GT contrarian/momentum.
Power Buy: Similar for lower wick.
Super Wick: Power + institutional volume + strong momentum.
Ultra Power: Super + GT power (3/3) + distribution/accumulation + Nash deviation + liquidity trap. Rarest and strongest (fuchsia/lime color).
Signal Management: Detected wick level (high/low) is saved. Wait min 40 bars, max 1-5 signals per zone. When trigger candle arrives (price reaches level + long wick + close in opposite direction) = BUY/SELL plotshape.
e. Market Maker (MM) and Liquidity
MM Volume: Average x 2.5 + wick bonus (1.3x).
Liquidity Zones: Saves last 20 high-volume highs/lows. Shown as boxes on chart (red/green, lasting 200 bars).
Traps: Integrated with GT, strengthens power signals.
f. Visualization and Alerts
Background: Ultra Power (fuchsia/lime), Power GT (red/green), Herd (red/green).
Lines: Active resistance/support (dashed, colored).
Table (Top-Right): Resistance/support levels, remaining signals, POC/VAH/VAL, GT status (herd, institutional, Nash, signal strength), volume/liquidity.
Alerts: For Ultra Power, GT Power, Super Wick, normal signals. Messages include level/price.
g. Filters and Options
Strict Mode: Stricter (higher volume 1.5x, strong trend, RSI filter).
Require Volume Confirmation: Mandatory volume check.
Only Show Power Signals: Display only power/ultra.
Require Ultra Power: Strictest, only ultra.
3. Usage Tips
Chart Timeframe: H1-D1 for medium-long term. Shorter frames (M1-M5) may produce too many signals.
Settings:
StrictMode=true: Fewer but higher-quality signals.
Use_game_theory=false: Use only VP + Wicks.
ShowVP=false: Hide histogram to reduce clutter.
Strategy Integration: Filter BUY/SELL with EMAs. Stop-loss: ATR x 1-2, Take-profit: POC/VAH levels.
Backtesting: Convert to strategy in TradingView (use alertconditions). Test on historical data.
Risk: Designed for market manipulation (MM traps), but no indicator is 100% accurate. Apply capital management.
Troubleshooting: If errors (e.g., vpInitialized=false), increase period or refresh chart.
This indicator is complex but powerful – blending VP for volume zones with GT for psychology. If you have questions or need setting changes, let me know!
Price over VolumeVersion 0.1
Price over Volume Indicator
Description
The Price over Volume indicator calculates the ratio of the closing price to the trading volume (price / volume) for the current chart's symbol and displays it as a histogram in a separate pane. A horizontal zero line is included as a reference to highlight positive and negative values or periods of undefined data (e.g., zero volume). The indicator is designed to help traders analyze the relationship between price movements and trading volume.
Insights Provided
Price-Volume Dynamics: The indicator shows how price per unit of volume fluctuates, offering insights into market efficiency and liquidity. High ratios may indicate low volume relative to price, suggesting potential volatility or thin markets, while low ratios may reflect high volume supporting price stability.
Trend and Momentum Analysis: Spikes or trends in the price-to-volume ratio can signal significant market events, such as buying/selling pressure or low liquidity periods, helping traders identify potential reversals or continuations.
Zero Line Reference: The zero line helps identify periods where the ratio is undefined (e.g., zero volume) or negative (if applicable), aiding in the interpretation of market conditions.
Volume Sensitivity: By normalizing price by volume, the indicator highlights how volume influences price movements, which is useful for assessing the strength of trends or breakouts.
How to Use
Setup: Apply the indicator to any chart with price and volume data (e.g., stocks, cryptocurrencies like BINANCE:BTCUSDT). The histogram appears in a separate pane below the main chart.
Interpretation :
High Ratios: Indicate low trading volume relative to price, potentially signaling overbought conditions or low liquidity. Use with caution in thin markets.
Low Ratios: Suggest high volume supporting price levels, indicating stronger market participation or stability.
Spikes: Watch for sudden increases in the ratio, which may precede volatility or significant price moves.
Zero Line: Periods where the histogram is absent (due to zero volume) indicate no trading activity, useful for identifying illiquid periods.
Trading Applications:
Confirmation Tool: Combine with other indicators (e.g., RSI, MACD) to confirm trend strength. A rising price-to-volume ratio with a price uptrend may indicate weakening volume support, suggesting a potential reversal.
Volume Analysis: Use alongside volume-based indicators (e.g., OBV, VWAP) to assess whether price movements are backed by sufficient volume.
Scalping/Day Trading: Monitor intraday ratio changes to identify high-impact periods with low volume, which may offer short-term trading opportunities.
Customization: Adjust the histogram color or style (e.g., change to line plot) via the Pine Editor to suit your preferences. Consider adding smoothing (e.g., moving average) for cleaner signals.
Notes
Data Requirements: Ensure the chart’s symbol has valid volume data. Symbols with no volume (e.g., some forex pairs) will result in undefined (na) values.
Limitations: The indicator is sensitive to zero-volume periods, which may cause gaps in the histogram. Use on high-liquidity symbols for best results.
Performance: Lightweight and efficient, suitable for all timeframes.
This indicator is ideal for traders seeking to understand the interplay between price and volume, offering a unique perspective on market dynamics for informed trading decisions.
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.
Global M2 Index Percentage### **Global M2 Index Percentage**
**Description:**
The **Global M2 Index Percentage** is a custom indicator designed to track and visualize the global money supply (M2) in a normalized percentage format. It aggregates M2 data from major economies (e.g., the US, EU, China, Japan, and the UK) and adjusts for exchange rates to provide a comprehensive view of global liquidity. This indicator helps traders and investors understand the broader macroeconomic environment, identify trends in money supply, and make informed decisions based on global liquidity conditions.
---
### **How It Works:**
1. **Data Aggregation**:
- The indicator collects M2 data from key economies and adjusts it using exchange rates to calculate a global M2 value.
- The formula for global M2 is:
\
2. **Normalization**:
- The global M2 value is normalized into a percentage (0% to 100%) based on its range over a user-defined period (default: 13 weeks).
- The formula for normalization is:
\
3. **Visualization**:
- The indicator plots the M2 Index as a line chart.
- Key reference levels are highlighted:
- **10% (Red Line)**: Oversold level (low liquidity).
- **50% (Black Line)**: Neutral level.
- **80% (Green Line)**: Overbought level (high liquidity).
---
### **How to Use the Indicator:**
#### **1. Understanding the M2 Index:**
- **Below 10%**: Indicates extremely low liquidity, which may signal economic contraction or tight monetary policy.
- **Above 80%**: Indicates high liquidity, which may signal loose monetary policy or potential inflationary pressures.
- **Between 10% and 80%**: Represents a neutral to moderate liquidity environment.
#### **2. Trading Strategies:**
- **Long-Term Investing**:
- Use the M2 Index to assess global liquidity trends.
- **High M2 Index (e.g., >80%)**: Consider investing in risk assets (stocks, commodities) as liquidity supports growth.
- **Low M2 Index (e.g., <10%)**: Shift to defensive assets (bonds, gold) as liquidity tightens.
- **Short-Term Trading**:
- Combine the M2 Index with technical indicators (e.g., RSI, MACD) for timing entries and exits.
- **M2 Index Rising + RSI Oversold**: Potential buying opportunity.
- **M2 Index Falling + RSI Overbought**: Potential selling opportunity.
#### **3. Macroeconomic Analysis**:
- Use the M2 Index to monitor the impact of central bank policies (e.g., quantitative easing, rate hikes).
- Correlate the M2 Index with inflation data (CPI, PPI) to anticipate inflationary or deflationary trends.
---
### **Key Features:**
- **Customizable Timeframe**: Adjust the lookback period (e.g., 13 weeks, 26 weeks) to suit your trading style.
- **Multi-Economy Data**: Aggregates M2 data from the US, EU, China, Japan, and the UK for a global perspective.
- **Normalized Output**: Converts raw M2 data into an easy-to-interpret percentage format.
- **Reference Levels**: Includes key levels (10%, 50%, 80%) for quick analysis.
---
### **Example Use Case:**
- **Scenario**: The M2 Index rises from 49% to 62% over two weeks.
- **Interpretation**: Global liquidity is increasing, potentially due to central bank stimulus.
- **Action**:
- **Long-Term**: Increase exposure to equities and commodities.
- **Short-Term**: Look for buying opportunities in oversold assets (e.g., RSI < 30).
---
### **Why Use the Global M2 Index Percentage?**
- **Macro Insights**: Understand the broader economic environment and its impact on financial markets.
- **Risk Management**: Identify periods of high or low liquidity to adjust your portfolio accordingly.
- **Enhanced Timing**: Combine with technical analysis for better entry and exit points.
---
### **Conclusion:**
The **Global M2 Index Percentage** is a powerful tool for traders and investors seeking to incorporate macroeconomic data into their strategies. By tracking global liquidity trends, this indicator helps you make informed decisions, whether you're trading short-term or planning long-term investments. Add it to your TradingView charts today and gain a deeper understanding of the global money supply!
---
**Disclaimer**: This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own research and consult with a professional before making investment decisions.
Silver Bullet ICT Strategy [TradingFinder] 10-11 AM NY Time +FVG🔵 Introduction
The ICT Silver Bullet trading strategy is a precise, time-based algorithmic approach that relies on Fair Value Gaps and Liquidity to identify high-probability trade setups. The strategy primarily focuses on the New York AM Session from 10:00 AM to 11:00 AM, leveraging heightened market activity within this critical window to capture short-term trading opportunities.
As an intraday strategy, it is most effective on lower timeframes, with ICT recommending a 15-minute chart or lower. While experienced traders often utilize 1-minute to 5-minute charts, beginners may find the 1-minute timeframe more manageable for applying this strategy.
This approach specifically targets quick trades, designed to take advantage of market movements within tight one-hour windows. By narrowing its focus, the Silver Bullet offers a streamlined and efficient method for traders to capitalize on liquidity shifts and price imbalances with precision.
In the fast-paced world of forex trading, the ability to identify market manipulation and false price movements is crucial for traders aiming to stay ahead of the curve. The Silver Bullet Indicator simplifies this process by integrating ICT principles such as liquidity traps, Order Blocks, and Fair Value Gaps (FVG).
These concepts form the foundation of a tool designed to mimic the strategies of institutional players, empowering traders to align their trades with the "smart money." By transforming complex market dynamics into actionable insights, the Silver Bullet Indicator provides a powerful framework for short-term trading success
Silver Bullet Bullish Setup :
Silver Bullet Bearish Setup :
🔵 How to Use
The Silver Bullet Indicator is a specialized tool that operates within the critical time windows of 9:00-10:00 and 10:00-11:00 in the forex market. Its design incorporates key principles from ICT (Inner Circle Trader) methodology, focusing on concepts such as liquidity traps, CISD Levels, Order Blocks, and Fair Value Gaps (FVG) to provide precise and actionable trade setups.
🟣 Bullish Setup
In a bullish setup, the indicator starts by marking the high and low of the session, serving as critical reference points for liquidity. A typical sequence involves a liquidity grab below the low, where the price manipulates retail traders into selling positions by breaching a key support level.
This movement is often orchestrated by smart money to accumulate buy orders. Following this liquidity grab, a market structure shift (MSS) occurs, signaled by the price breaking the CISD Level—a confirmation of bullish intent. The indicator then highlights an Order Block near the CISD Level, representing the zone where institutional buying is concentrated.
Additionally, it identifies a Fair Value Gap, which acts as a high-probability area for price retracement and trade entry. Traders can confidently take long positions when the price revisits these zones, targeting the next significant liquidity pool or resistance level.
Bullish Setup in CAPITALCOM:US100 :
🟣 Bearish Setup
Conversely, in a bearish setup, the price manipulates liquidity by creating a false breakout above the high of the session. This move entices retail traders into long positions, allowing institutional players to enter sell orders.
Once the price reverses direction and breaches the CISD Level to the downside, a change of character (CHOCH) becomes evident, confirming a bearish market structure. The indicator highlights an Order Block near this level, indicating the origin of the institutional sell orders, along with an associated FVG, which represents an imbalance zone likely to be revisited before the price continues downward.
By entering short positions when the price retraces to these levels, traders align their strategies with the anticipated continuation of bearish momentum, targeting nearby liquidity voids or support zones.
Bearish Setup in OANDA:XAUUSD :
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Silver Bullet Indicator is a cutting-edge tool designed specifically for forex traders who aim to leverage market dynamics during critical liquidity windows. By focusing on the highly active 9:00-10:00 and 10:00-11:00 timeframes, the indicator simplifies complex market concepts such as liquidity traps, Order Blocks, Fair Value Gaps (FVG), and CISD Levels, transforming them into actionable insights.
What sets the Silver Bullet Indicator apart is its precision in detecting false breakouts and market structure shifts (MSS), enabling traders to align their strategies with institutional activity. The visual clarity of its signals, including color-coded zones and directional arrows, ensures that both novice and experienced traders can easily interpret and apply its findings in real-time.
By integrating ICT principles, the indicator empowers traders to identify high-probability entry and exit points, minimize risk, and optimize trade execution. Whether you are capturing short-term price movements or navigating complex market conditions, the Silver Bullet Indicator offers a robust framework to enhance your trading performance.
Ultimately, this tool is more than just an indicator; it is a strategic ally for traders who seek to decode the movements of smart money and capitalize on institutional strategies. With the Silver Bullet Indicator, traders can approach the market with greater confidence, precision, and profitability.
Market Structure Trailing Stop [BigBeluga]The Market Structure Trailing Stop indicator is an advanced tool for identifying market structure shifts, liquidity sweeps, and potential trend reversals using comprehensive volume analysis. This indicator combines the analysis of market structure pivots (CHoCH - Change of Character) with a sophisticated volume-based trailing stop logic. By evaluating delta volume at key structural points, it allows traders to identify high-probability trend continuations or reversals and manage their trades more effectively.
🔵 KEY FEATURES
● Market Structure Analysis
Pivot-Based Market Structure : The indicator identifies high and lows using user-defined periods, allowing traders to spot key market structure shifts.
Change of Character (CHoCH) : The first significant break of a market structure is marked as a CHoCH, indicating a potential trend reversal.
Break of Structure (BoS) : The indicator highlights subsequent breaks of structure after CHoCH, providing traders with crucial insights into trend strength.
● Advanced Volume Analysis
Delta Volume Evaluation : The indicator calculates delta volume (difference between up and down volume) at each ChoCh or BoS market structure point to assess the strength of the move. Identify Delta Volume from break point back to Pivot
● Trailing Stop Logic
Volume-Validated Trailing Stop : The indicator automatically plots a trailing stop if the delta volume at the UP CHoCH is positive and above the defined threshold and vice versa for Down CHoCH , allowing traders to protect their profits while riding the trend.
Trend Weakness Detection : If a subsequent BoS occurs with negative delta volume or lower volume than the input threshold, the trailing stop disappears, indicating potential trend exhaustion or reversal.
Dynamic Stop Placement : The trailing stop is dynamically adjusted based on market structure and volume, providing traders with a more adaptive stop-loss strategy.
Up Trend Trailing Stop:
Down Trend Trailing Stop:
● Liquidity Sweep Detection
Liquidity Sweep (X) Labels : The indicator identifies liquidity sweeps—points where the price temporarily reverses to sweep liquidity above or below a key level—marked with an “X” label.
Potential Reversal Zones : These liquidity sweeps are potential reversal zones, especially when accompanied by significant delta volume changes, providing traders with early warnings of potential trend reversals.
🔵 HOW TO USE
● Identifying Market Structure Shifts
Change of Character (CHoCH) : When a CHoCH occurs, the indicator calculates the total volume from the high point to the break point. If the delta volume is positive and exceeds the input threshold, a trailing stop is plotted, signaling potential trend continuation.
Break of Structure (BoS) : If BoS is enabled, subsequent breaks of structure are highlighted. If these BoS points show weaker volume or negative delta volume, the trailing stop will disappear, indicating that the trend may be losing strength.
● Using the Trailing Stop Feature
Protecting Profits : Once a CHoCH occurs and the delta volume validates the trend, the trailing stop will be plotted below (or above) the price to protect profits while allowing the trend to run.
Trend Reversal Signals : If the trailing stop disappears due to weak volume at subsequent BoS points, it may signal that the trend is losing momentum, and traders may consider closing their positions or tightening their stops manually.
● Liquidity Sweep Interpretation
Spotting Reversal Zones : Liquidity sweeps, marked with an “X” label, indicate zones where the price has swept liquidity. These areas can serve as potential reversal zones, especially when significant delta volume is observed at these points.
Early Reversal Warnings : Traders can use these liquidity sweep labels as early warnings for potential trend reversals, particularly in conjunction with other technical analysis methods.
🔵 CUSTOMIZATION
Highs and Lows Calculation : Customize the number of bars to the left and right for identifying pivots and market structure shifts.
Volume Threshold : Define the volume threshold to filter out weaker moves and focus on significant market structure shifts.
BoS and Liquidity Sweep Labels : Toggle on or off the BoS and Liquidity Sweep labels to tailor the indicator to your trading style.
Trend Color : Enable or disable trend coloring for candles to visually highlight uptrends and downtrends on the chart.
🔵 CONCLUSION
The Market Structure Trailing Stop indicator combines advanced volume analysis with market structure detection to provide traders with a powerful tool for identifying and managing trends. By leveraging delta volume at key structure points, it helps traders validate trend strength and manage their positions with a dynamic trailing stop strategy. The addition of liquidity sweep detection further enhances its utility, offering early warnings of potential trend reversals. This indicator is ideal for traders who want to gain a deeper understanding of market structure while incorporating volume-based insights into their trading strategies.
Price Action SuiteThe TRN Price Action Suite incorporates a treasure trove of time and price action concepts. It includes a set of trading tools that, when combined, allow for a more accurate view of the market. This enables traders to find high probability entry points before the market moves to the next liquidation level.
Features of the TRN Price Action Suite:
(Inverse) Fair Value Gaps (FVG)
Order Blocks (OB)
FVG and OB with Cumulative Volume Delta
Volume Imbalances
Market Structure
Liquidity levels
Sessions
Kill zones/Opening Range
The indicator helps traders to easily identify favorable market conditions and high probability trade setups. It automatically finds time and price action concepts and displays them in an intuitive way on the chart. One of the highlights is the detection of Fair Value Gaps and Order Blocks in connection with Cumulative Volume Delta (approx.). You will not find this connection anywhere else.
Fair Value Gaps (FVGs)
A fair value gap occurs when there are inefficiencies in the market or imbalanced buying and selling pressures. Fair value gaps can become a magnet for the price before continuing in the same direction. Special attention should be paid to FVGs that are supported by support and resistance levels, as these offer a higher probability of success for trades. Additionally, the indicator plots inverse FVG (iFVG). These are FVG that are “closed” by a FVG in the other direction. IFVGs are a strong sign of the market to continue in the direction of the iFVG.
In addition to the FVGs you see on the chart, you can add also FVGs from a higher timeframe including the cumulative buy/sell volume. For this you can set “Timeframe 1” and “Timeframe 2” in the settings to your preferred timeframes. E.g. you trade on a 5-minute chart, and you want to see FVGs from 4 hours and a daily chart, then you set Timeframe 1 to 4 h and to Timeframe 2 to 1 D.
Order Blocks and Volume Imbalances can also be shown from higher timeframes.
Order Blocks (OBs)
Order blocks are areas on the chart where a high concentration of limit orders was found in the past. They can serve as potential support or resistance areas. These represent areas in the market where there is an oversupply (supply) or an excess demand (demand). They are often key zones for potential turning points or continuations of the current trend. A bullish OB, for example, is the last bearish candle before a significant uptrend.
FVGs and OBs with Cumulative Volume Delta
The TRN Price Action Suite can show FVGs and OBs with the corresponding Cumulative Volume Delta (CVD). It is a metric to analyze market dynamics by tracking the net difference between buying and selling volumes over a specific timeframe. It is used to determine the strength of the FVG/OB. The FVG/OB includes two bars on the left side, indicating the cumulative buy volume in green as well es the cumulative sell volume in red. At the right side of the FVG/OB box the ratio of the cumulative buy/sell volume is displayed. A high ratio over 1, for example 1.5, indicates a lot of buying pressure. On the hand, a ratio far below 1, for example 0.66, indicates a lot of selling pressure.
Volume Imbalances (VIBs)
Volume Imbalances indicate a price gap from the previous close, but unlike gaps, there is no absence of trading activity within a specific price range. Bullish VIs have opening and closing prices above the previous close, with overlap between the current low and previous high. Bearish VIs are vice versa.
Market Structure
The market structure represents the dominant trend in the market. It is based on swing highs and lows. For instance, if the price makes higher highs (HH) and higher lows (HL) the market structure represents an uptrend. Vice versa if price makes lower lows (LL) and lower highs (LH) the market trend is down.
If the market structure is up, traders can enter positions in a pullback. For this, a trader could use a FVG or an OB as an entry condition.
Market Structure Shift (MSS) (Change of Character (ChoCh))
A market structure shift occurs when the market transitions from one dominant trend to a different one, often signaling a potential change in the underlying market dynamics. A MSS signals the start of a new trend. It signals the change from an uptrend to a down trend and vice versa. Therefore, it is sometimes called change of character (ChoCh). A valid MSS should ideally occur in a strong supply or demand zone. This indicates that the market may be approaching a trend reversal or consolidation.
Break of Structure (BOS)
A break of structure happens when the market breaks out of its established trading range or pattern. The market continues its dominant trend, indicated by the last MSS.
In an uptrend, for example, each time the price breaks through a new high, a "bullish BOS" is formed. This indicates that the market can overcome previous resistance levels and continue to rise.
Levels
One core concept in trading is that price flows to areas of liquidity. Natural liquidity areas are the current day open, high, low (CDO, CDH, CDL) or the previous day high, low, close (PDH, PDL, PDC). The same is true for the current week (CWO, CWH, CWL) and the previous week (PWH, PWL, PWC).
Pay special attention in case some of these levels are close together. Then these levels serve like a magnet for the price. The TRN Price Action Suite indicator can cluster these levels fully automatically together to give the trader the flexibility to focus solely on the trading part.
Sessions
Sessions are the trading hours during which the banks are actively trading. The three main trading sessions:
Asia: Most of the volume from the Asian players are handled within this session.
London: This is where the European players are most active.
New York: In the New York session all the USA players are active as well as all the other American players. Furthermore, a lot of global players are active in this session as well.
Killzones
A kill zone in trading refers to a specific time period during the trading day when the market experiences increased volatility and liquidity. It is an opportunity for traders to capitalize on potential price movements and generate profits. There are several different killzones during the day.
There are three different types of killzones:
Indices/Futures: This one is suitable if you trade products like the ES, NQ, FDAX, CL or Stocks, Options.
Forex: If you trade Forex this setting will mark the most liquid periods of the day.
Opening Range: In case you trade the opening range of the sessions, use this setting.
Trading Example
Blitz Model
The Blitz indicator is a comprehensive market structure analysis tool designed specifically for the 4-hour timeframe. It identifies and visualizes key market movements including sweeps, fair value gaps (FVGs), and session-based liquidity levels.
1) Key Features :
A) Market Structure Analysis :
i) Sweep Detection: Identifies bullish and bearish sweeps of previous highs/lows.
ii) Double Purge Recognition: Detects when both bullish and bearish sweeps occur on the same candle.
iii) Fair Value Gap (FVG) Visualization: Displays imbalance zones with customizable box colors.
iV) Session-Based Analysis: Tracks Asian and London session highs/lows.
B) Multi-Timeframe Confirmations :
i) Layer 2 Validation System: Incorporates H1 and M15 timeframe confirmations.
ii) H1 Sweep Confirmations: Validates 4H signals with hourly sweep patterns.
iii) M15 Analysis: Includes both sweep and FVG confirmations from 15-minute timeframe.
C) Key Level Integration :
i) Daily 0.5 Level: Plots the midpoint of previous day's range with customizable styling.
ii) Session Liquidity: Identifies sweeps of Asian and London session extremes.
ii) FVG Interaction: Detects when sweeps occur near fair value gaps.
D) Customization Options :
i) Label Styling: Full control over label size, style, and colors for all signal types.
ii) Double Purge Customization: Separate styling options for double purge signals.
iii) Line Customization: Adjustable daily 0.5 line appearance (style, color, width).
iv) Display Controls: Toggle visibility for FVGs, labels, and confirmation history.
2) Technical Specifications
A) Timeframe Requirements :
i) Primary Timeframe: 4H only (indicator will show error on other timeframes).
ii) Multi-Timeframe Data: Analyzes H1 and M15 for confirmations.
iii) Session Times: Configurable start/end times.
B) Signal Validation Criteria :
Sweeps are validated when they occur at one or more of the following conditions:
i) FVG Zones: Price interaction with identified fair value gaps.
ii) Daily Midpoint: Proximity to the 50% level of previous day's range.
iii) Session Levels: Sweeps of Asian (19:00-01:00 NY) or London (02:00-05:00 NY) extremes.
C) Layer 2 Confirmation System :
i) H1 Confirmations (H1S): Sweep patterns on 1-hour charts within the 4H candle formation.
ii) M15 Sweep (M15S): 15-minute sweep confirmations.
iii) M15 FVG (M15F): 15-minute fair value gap formations.
3) Usage Guidelines :
A) Setup Instructions :
i) Apply to 4-hour charts only.
ii) Configure session times based on your analysis preferences.
iii) Customize label appearance and colors to match your chart theme.
iv) Enable/disable features based on your trading style.
B) Signal Interpretation :
i) Green Labels: Bullish sweeps with validation criteria met.
ii) Red Labels: Bearish sweeps with validation criteria met.
iii) Purple Labels: Double purge scenarios (both directions swept).
iv) Checkmark (✓): Indicates Layer 2 multi-timeframe confirmation present.
v) For double purge interpretations :
- Low & High means recent purge (just previous candle)
- Low & High means medium term purge (8H prior)
- Low & High means longer term purge (12H + prior)
4) Compatibility :
Max Objects: Supports up to 500 boxes and labels simultaneously.
5) Support & Updates :
This indicator represents educational concepts in market structure analysis. Users should thoroughly test and understand all signals before considering any practical application.
Disclaimer :
Always practice proper risk management. This is for educational purposes only and is not a financial advice.
Riz Goldbach FrameworkRiz Goldbach Framework maps a dynamic dealing range and a set of Goldbach-derived price levels to structure intraday decision-making. It blends range math (PO3), level clustering, session weighting, volume/volatility context, and an explainable scoring engine that can issue BUY/SELL signals with risk levels (SL/TP). It is designed for discretionary traders who want rules-based context rather than a black box.
Core concepts (how it works)
1) PO3 Dealing-Range Engine
⦁ The script builds a tri-based PO3 range around current price (Auto or Manual).
⦁ It shifts the range when price “accepts” outside (close/wick—user selectable) and adapts width with ATR so the range expands in high volatility and tightens in low volatility.
⦁ From this range it computes mid, premium/discount halves, and sub-mids.
2) Goldbach Levels (structure map)
Within the active PO3 range, fixed percentages anchor recurring behaviors:
⦁ Rejection edges: 3%, 97%
⦁ Order-block tendency: 11%, 89%
⦁ FVG tendency: 17%, 83%
⦁ Liquidity void / expansion: 29%, 71%
⦁ Breaker band: 41%, 59%
⦁ Mitigation band: 47%, 53%
⦁ Equilibrium: 50%
⦁ Touch/near logic is tolerance-based (body-only optional). The script also counts confluence clusters (2=moderate, 3+=strong) near price.
3) Market elements the script tracks
⦁ Order Blocks (OB): detected after BOS behavior when price is sitting on OB-biased GB levels (11/89).
⦁ FVG: 3-bar gaps at FVG-biased levels (17/83) with optional “% fill” confirmation.
⦁ LV bars: wide-range, high-range bars around 29/71 for displacement/voids.
⦁ Equal Highs/Lows (EQH/EQL): tolerance with labeling for sweep risk.
⦁ Circuit Breaker (CB): zone seeded at 41/59. States: intact → broken → retest → revalidated/failed. A shaded band shows the active breaker zone.
⦁ Twin Towers (TT): equal-high/equal-low doublet with spacing/volume/RSI checks, then sweep-and-return into the breaker zone for confirmation.
4) Context & filters
⦁ Trend vs Range: DMI/ADX + EMA stack infer TREND/RANGE/TRANSITION and scale the required score.
⦁ MTF alignment: compares current PO3 halves vs HTF PO3 halves (user timeframe), rewarding alignment and flagging divergence.
⦁ Fib–Goldbach confluence: checks 61.8/38.2/78.6/127.2/161.8 against key GB levels for added weight.
⦁ Session weighting: Asia/London/NY bias different GB levels; weights are higher for London/NY.
⦁ Volume-weighted liquidity: tracks volume at EQH/EQL to flag “high-commitment” sweeps.
⦁ AMD cycle (smart): accumulation/manipulation/distribution estimated from ATR regimes, sweeps, BOS continuation, divergence and PO3 shifts.
⦁ Optional filters: HTF bias, SMT divergence via a second symbol, VSA volume emphasis, news blackout session.
5) Signal engine
⦁ Modes: MMxM, Trending, or Hybrid (auto switches depending on CB acceptance + ATR expansion).
⦁ A score (0–100) aggregates weighted conditions (GB touch/confluence, AMD alignment, CB state, TT, FVG/OB interaction, HTF bias, SMT, high-volume, RSI momentum).
⦁ Adaptive threshold raises/lowers requirements in TREND vs RANGE.
⦁ Outputs: BUY/SELL label with strength (WEAK/NORMAL/STRONG), a reasons string (e.g., GB+AMD+Breaker+TT+FVG+HTF+RSI), and risk levels:
⦁ SL: rejection/structure anchored (e.g., GB3/GB97 or recent swing ± ATR).
⦁ TP1: opposite breaker (41/59).
⦁ TP2: opposite FVG tendency (17/83).
⦁ Live RR displayed on label and plotted as dashed lines.
⦁ Cooldown, session/time, weekend, and volatility gates suppress poor-quality or clustered signals.
What you see on the chart
⦁ PO3 bands: High/Low/Mid lines plus background shading for Premium (bear tint), Discount (bull tint), Equilibrium (neutral).
⦁ Goldbach lines: Major structure (0/50/100) plus the functional GB set (11/17/29/41/47/53/59/71/83/89/3/97).
⦁ Blocks & gaps: OB lines, FVG boxes (extend right, fill progress), LV box, breaker zone band, and TT logic states.
⦁ CE/MT: Central equilibrium (~3.5%/96.5%) and mid-towers (25%/75%) trigger optional alerts.
⦁ Session overlays: Asia/London/NY (optional).
⦁ Opens: Daily/Weekly (optional).
⦁ Dashboard: PO3 value, Zone (Premium/Discount/Equilibrium), AMD phase, Session, Mode (MMxM/Trending/Hybrid), CB state, nearest GB tag, Market context (TREND/RANGE/TRANS), recent Events, and rolling win-rate tallies (signals/CB/TT) from the current chart session.
How to use it (workflow)
1. Pick a preset
⦁ Minimal: only core structure.
⦁ Standard: levels + dashboard.
⦁ Full: adds sessions + GBT window overlays.
2. Choose range logic
⦁ PO3 Auto is reactive and scales with ATR.
⦁ Manual PO3 is for precise range control.
3. Scope your bias
⦁ Confirm Zone (Premium/Discount), CB state, and AMD phase; check MTF row if enabled.
⦁ Strong setups usually appear when session-weighted GB levels + confluence ≥ 2 + CB revalidated + AMD = manipulation → distribution (short) or accumulation → manipulation (long).
4. Act on signals (optional)
⦁ When a label prints, read the factors string and score.
⦁ Use plotted SL/TP1/TP2 lines and RR.
⦁ Respect cooldown, news blackout, and volatility filter.
Inputs you might tweak
⦁ PO3: Auto/Manual, acceptance by Close vs Wick, adaptive widening/tightening.
⦁ Levels: Major-only vs All; tolerance %; wick vs body touches.
⦁ Signals: Mode, score threshold, cooldown, confirm on close.
⦁ CB/TT: breaker width %, spacing window & tolerance, suppress bars after TT.
⦁ Filters: HTF timeframe, SMT symbol, VSA on/off, news blackout session.
⦁ Visuals: colors, line opacity, label sizes, dashboard position/size.
⦁ FVG/LV/CE/MT: fill %, and per-event alerts.
Alerts available
⦁ BUY/SELL signal, PO3 shift, GB touch (with tag), CB broken/retest pass/fail, TT setup/confirmed, OB tagged, FVG formed/filled, LV expansion, CE/MT touches.
Limitations & notes
⦁ Signals are contextual—they depend on the active PO3, tolerance, filters, session weighting, and volatility regime.
⦁ HTF requests depend on broker/exchange data and the timeframe you assign; if HTF is empty or illiquid, features degrade gracefully but may be less informative.
⦁ Win-rate tallies are session-local (not a historical performance guarantee).
⦁ Parameter choices (e.g., tolerance, breaker width, thresholds) materially change behavior.
Disclaimer
This tool is for educational/informational purposes only. It does not constitute financial advice, an invitation to trade, or performance assurance. Markets involve risk—always test on replay/paper and manage risk independently.
Wick Pressure Zones [BigBeluga]
The Wick Pressure Zones indicator highlights areas where extreme wick activity occurred, signaling strong buy or sell pressure. By measuring unusually long upper or lower wicks and mapping them into gradient volume zones , the tool helps traders identify levels where liquidity was absorbed, leaving behind footprints of supply and demand imbalances. These zones often act as support, resistance, or liquidity sweep magnets .
🔵 CONCEPTS
Extreme Wicks : Large upper or lower shadows indicate aggressive rejection — upper wicks suggest selling pressure, lower wicks suggest buying pressure.
Volumatic Gradient Zones : From each detected wick, the indicator projects a layered gradient zone, proportional to the wick’s size, showing where most pressure occurred.
Liquidity Footprints : These zones mark levels where significant buy/sell volume was executed, often becoming reaction points on future retests.
Automatic Expiration : Zones persist until price decisively trades through them, after which they are cleared to keep the chart clean.
🔵 FEATURES
Automatic Wick Detection : Identifies extreme upper and lower wick events using percentile filtering and Realative Strength Index.
Gradient Zone Visualization : Builds a 10-layer zone from the wick top/bottom, shading intensity according to pressure strength.
Volume Labels : Each zone is annotated with the bar’s volume at the origin point for added context.
Dynamic Zone Extension : Zones extend to the right as long as they remain relevant; once price closes through them, they are removed.
Support & Resistance Mapping : Upper wick zones (red) behave like supply/resistance, lower wick zones (green) like demand/support.
Clutter Control : Limits the number of active zones (default 10) to keep charts responsive.
Background Highlighting : Optional background shading when new wick zones appear (red for sell, green for buy).
🔵 HOW TO USE
Look for Upper Wick Zones (red) : Indicate strong selling pressure; watch for resistance, reversals, or liquidity sweeps above.
Look for Lower Wick Zones (green) : Indicate strong buying pressure; watch for support or liquidity sweeps below.
Trade Retests : When price returns to a zone, expect a reaction (bounce or rejection) due to leftover liquidity.
Combine with Context : Align wick pressure zones with HTF support/resistance, order blocks, or volume profile for stronger signals.
Use Volume Labels : High-volume wicks indicate more significant liquidity events, making the zone more likely to act as a strong reaction point.
🔵 CONCLUSION
The Wick Pressure Zones is a powerful way to visualize hidden liquidity and aggressive rejections. By mapping extreme wick events into dynamic, volume-annotated zones, it shows traders where the market absorbed heavy buy/sell pressure. These levels frequently act as magnets or turning points, making them valuable for timing entries, stop placement, or fade strategies.
SDRange+ [JJumbo]Introduction:
versatile and highly customizable tool crafted for traders who rely on precise price levels and Time-based analysis, with a special focus on the Overnight Session (ONS) range.
This indicator defaults to capturing the critical 6:00 AM to 9:00 AM Eastern Time overnight session window—a period often pivotal for setting the day's momentum and key price zones before regular trading hours (RTH) commence. However, its standout feature is the ability to define a custom session window, allowing traders to adapt the range to any preferred time period, making it suitable for various trading styles and market conditions beyond the standard overnight session.
Key features:
Range dynamics:
time based-based ranges (user-defined) with projections marking the exhaustion points and profit-taking/position-closing area of the range chosen.
Statistics calculated externally for the x0.5 and 1.33-1.66, when using specific time ranges (such as 6am to 9am range, Eastern Time) the projections functions as points of interest to frame your trades and position yourself in the right side of the market.
Sessions liquidity:
Pivot sessions automatically marking the user-defined swing high and low of the chosen sessions (such as Asia session high and low or London session high and low), this feature helps you display the the high and low of important sessions liquidity where stop hunts will form making them potential points of reversals or take profit levels.
Range levels and projections functions:
This tool will give you automatically all the levels you need to frame you set ups and have clear targets and areas of action, the 1.33-1.66 projections area derives from a mathematical calculation called "Rule of Thirds" where algorithms in funds sets logical profit-taking and position closing making price behave in the sense of retracing or reverting from said levels.
Range open (of the chosen range) often plays as level of action generating reactions to then distribute to our projections.
Inversely, the range open becomes our target after the range break when remaining un-tapped, statistically the retracement to range open (any range) once the range gets swept or broken has a very high hit percentage.
Additional customizable features:
How can traders use this framework and tool effectively in their trading:
Identify and trade reversals and breakouts effectively:
The idea behind the framework is to have two scenarios in play, the reversal trade (where we fade the range breakout and capitalize on the breakout failure targeting opposing levels of the breakout direction) or the breakout trades (where we anticipate early breakouts with the inner -range levels such as "range open or midpoint of the range" using the features in the tool as guidance.
Retracement/Reversal trades:
Utilize the 1.33-1.66 projection area to anticipate the reaction move, be it a retracement or a full reversal, it will either way give you the move needed to capitalize on it.
Terms & Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Fractal Market Model [BLAZ]Version 1.0 – Published August 2025: Initial release
1. Overview & Purpose
1.1. What This Indicator Does
The Fractal Market Model is an original multi-timeframe technical analysis tool that bridges the critical gap between macro-level market structure and micro-level price execution. Designed to work across all financial markets including Forex, Stocks, Crypto, Futures, and Commodities. While traditional Smart Money Concepts indicators exist, this implementation analyses multi-timeframe liquidity zones and price action shifts, marking potential reversal points where Higher Timeframe (HTF) liquidity sweeps coincide with Low Timeframe (LTF) price action dynamics changes.
Snapshot details: NASDAQ:GOOG , 1W Timeframe, Year 2025
1.2. What Sets This Indicator Apart
The Fractal Market Model analyses multi-timeframe correlations between HTF structural events and LTF price action. This creates a dynamic framework that reveals patterns observed historically in price behaviour that are believed to reflect institutional activity across multiple time dimensions.
The indicator recognizes that markets move in fractal cycles following the AMDX pattern (Accumulation, Manipulation, Distribution, Continuation/Reversal). By tracking this pattern across timeframes, it flags zones where price action dynamics characteristics have historically shown shifts. In the LTF, the indicator monitors for price closing through the open of an opposing candle near HTF swing highs or lows, marking this as a Change in State of Delivery (CISD), a threshold event where price action historically transitions direction.
Practical Value:
Multi-Timeframe Integration: Connects HTF structural events with LTF execution patterns.
Fractal Pattern Recognition: Identifies AMDX cycles across different time dimensions.
Price Behavior Analysis: Tracks CISD patterns that may reflect historical shifts in order flow commonly associated with institutional activity.
Range-Based Context: Analyses price action within established HTF liquidity zones.
1.3. How It Works
The indicator employs a systematic 5-candle HTF tracking methodology:
Candles 0-1: Accumulation phase identification.
Candle 2: Manipulation detection (raids previous highs/lows).
Candle 3: Distribution phase recognition.
Candle 4: Continuation/reversal toward opposite liquidity.
The system monitors for CISD patterns on the LTF when HTF manipulation candles close with confirmed sweeps, highlighting zones where order flow dynamics historically shifted within the established HTF range.
Snapshot details: FOREXCOM:AUDUSD , 1H Timeframe, 17 to 28 July 2025
Note: The Candle 0-5 and AMDX labels shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2. Visual Elements & Components
2.1. Complete FMM Setup Overview
A fully developed Fractal Market Model setup displays multiple analytical components that work together to provide comprehensive market structure analysis. Each visual element serves a specific purpose in identifying and tracking the AMDX cycle across timeframes.
2.2. Core Visual Components
Snapshot details: FOREXCOM:EURUSD , 5 Minutes Timeframe, 27 May 2025.
Note: The numbering labels 1 to 14 shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
2.2.1. HTF Structure Elements
(1) HTF Candle Visualization: Displays the 5-candle sequence being tracked (configurable quantity up to 10).
(2) HTF Candle Labels (C2-C4): Numbered identification for each candle in the AMDX cycle.
(3) HTF Resolution Label: Shows the higher timeframe being analysed.
(4) Time Remaining Indicator: Countdown to HTF candle closure.
(5) Vertical Separation Lines: Clearly delineates each HTF candle period.
2.2.2. Key Price Levels
(6) Liquidity Levels: High/low levels from HTF candles 0 and 1 representing potential target zones.
(7) Sweep Detection Lines: Marks where previous HTF candle extremes have been breached on both HTF and LTF.
(8) HTF Candle Mid-Levels: 50% retracement levels of previous HTF candles displayed on current timeframe.
(9) Open Level Marker: Shows the opening price of the most recent HTF candle.
2.2.3. Institutional Analysis Tools
(10) CISD Line: Marks the Change in State of Delivery pattern identification point.
(11) Consequent Encroachment (CE): Mid-level of identified institutional order blocks.
(12) Potential Reversal Area (PRA): Zone extending from previous candle close to the mid-level.
(13) Fair Value Gap (FVG): Identifies imbalance areas requiring potential price revisits.
(14) HTF Time Labels: Individual time period labels for each HTF candle.
2.3. Interactive Features
All visual elements update dynamically as new price data confirms or invalidates the tracked patterns, providing real-time market structure analysis across the selected timeframe combination.
3. Input Parameters and Settings
3.1. Alert Configuration
Setup Notifications: Users can configure alerts to receive notifications when new FMM setups form based on their selected bias, timeframes, and filters. Enable this feature by:
Configure the bias, timeframes and filters and other settings as desired.
Toggle the "Alerts?" checkbox to ON in indicator settings.
On the chart, click the three dots menu beside the indicator's name or press Alt + A.
Select "Add Alert" and click “Create” to activate the alert.
3.2. Display Control Settings
3.2.1. Historical Setup Quantity
Setup Display Control: Customize how many historical setups appear on the chart, with support for up to 50 combined entries. The indicator displays both bullish and bearish FMM setups within the selected limit, including invalidated scenarios. For example, selecting "3 setups" will display the most recent combination of bullish and bearish patterns based on the model's detection logic.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish or Bearish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.2. Directional Bias Filter
Bias Filter: Control which setups are displayed based on directional preference:
Bullish Only: Shows exclusively upward bias setups.
Bearish Only: Shows exclusively downward bias setups.
Balanced Mode: Displays both directional setups.
This flexibility helps align the indicator's output with broader market analysis or trading framework preferences. The chart below illustrates the same chart in 3.2.1. but when filtered to show only bullish setups.
Snapshot details: BINANCE:BTCUSD , 1H Timeframe, 27-Feb to 11-Mar 2025
Note: The labels “Setup 1, 2 & 3: Bullish” shown in the accompanying image are for demonstration purposes only and are not part of the indicator’s actual functionality.
3.2.3. Invalidated Setup Display
Invalidation Visibility: A setup becomes invalidated when price moves beyond the extreme high or low of the Manipulation candle (C2), indicating that the expected fractal pattern has been disrupted. Choose whether to display or hide setups that have been invalidated by subsequent price action. This feature helps maintain chart clarity while preserving analytical context:
Amber Labels: Setups invalidated at Candle 3 (C3).
Red Labels: Setups invalidated at Candle 4 (C4).
Count Preservation: Invalidated setups remain part of the total setup count regardless of visibility setting.
Below image illustrates balanced setups:
Left side: 1 bearish valid setup, with 2 invalidated setups visible.
Right side: 1 bearish valid setup, with 2 invalidated setups hidden for chart clarity.
Snapshot details: FOREXCOM:GBPJPY , 5M Timeframe, 30 July 2025
3.3. Timeframe Configuration
3.3.1. Multi-Timeframe Alignment
Custom Timeframe Selection: Configure preferred combinations of Higher Timeframe (HTF) and Lower Timeframe (LTF) for setup generation. While the indicator includes optimized default alignments (1Y –1Q, 1Q –1M, 1M –1W, 1M –1D, 1W–4H, 1D–1H, 4H-30m, 4H –15m, 1H –5m, 30m –3m, 15m –1m), users can define custom HTF-LTF configurations to suit their analysis preferences and market focus.
The image below illustrates two different HTF – LTF configuration, both on the 5 minutes chart:
Right side: Automatic multi-timeframe alignment, where the indicator autonomously sets the HTF pairing to 1H when the current chart timeframe is the 5 minutes.
Left side: Custom Timeframe enabled, where HTF is manually set to 4H, and LTF is manually set to 15 minutes, while being on the 5 minutes chart.
Snapshot details: FOREXCOM:GBPJPY , 5 minutes timeframe, 30 July 2025
3.3.2. Session-Based Filtering
Visibility Filters: Control when FMM setups appear using multiple filtering options:
Time-Based Controls:
Show Below: Limit setup visibility to timeframes below the selected threshold.
Use Session Filter: Enable session-based time window restrictions.
Session 1, 2, 3: Configure up to three custom time sessions with start and end times.
These filtering capabilities help concentrate analysis on specific market periods or timeframe contexts.
The image below illustrates the application of session filters:
Left side: The session filter is disabled, resulting in four setups being displayed throughout the day—two during the London session and two during the New York session.
Right side: The session filter is enabled to display setups exclusively within the New York session (8:00 AM – 12:00 PM). Setups outside this time window are hidden. Since the total number of setups is limited to four, the indicator backfills by identifying and displaying two qualifying setups from earlier price action that occurred within the specified New York session window.
Snapshot details: COMEX:GC1! , 5 minutes Timeframe, 29 July 2025
3.4. Annotation Systems
3.4.1. Higher Timeframe (HTF) Annotations
HTF Display Control: Enable HTF visualization using the "HTF candles" checkbox with quantity selector (default: 5 candles, expandable to 10). This displays all HTF elements detailed in the Visual Components section 2.2. above.
Customisation Categories:
Dimensions: Adjust candle offset, gap spacing, and width for optimal chart fit.
Colours: Customize body, border, and wick colours for bullish/bearish candle differentiation.
Style Options: Control line styles for HTF opens, sweep lines, and equilibrium levels.
Feature Toggles: Enable/disable Fair Value Gaps, countdown labels, and individual candle labelling.
All HTF annotation elements support individual styling controls to maintain visual clarity while preserving analytical depth. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: CME_MINI:NQ1! , 5 minutes Timeframe, 29 July 2025
3.4.2. Lower Timeframe (LTF) Annotations
LTF Display Control: Comprehensive annotation system for detailed execution analysis, displaying all LTF elements outlined in the Visual Components section 2.2. above.
Customization Categories:
Core Elements: Control HTF separation lines, sweep markers, CISD levels, and candle phase toggles (C2, C3, C4) to selectively show or hide the LTF annotations for each of these specific HTF candle phases.
Reference Levels: Adjust previous equilibrium lines, CISD consequent encroachment, and HTF liquidity levels.
Analysis Tools: Enable potential holding area (PHA) markers.
Styling Options: Individual visibility toggles, colour schemes, line styles, and thickness controls for each element.
All LTF components support full customization to maintain chart clarity while providing precise execution context. The image below shows two examples: the left side has customized styling applied, while the right side shows the default appearance.
Snapshot details: TVC:DXY , 5 minutes Timeframe, 28 July 2025
3.5. Performance Considerations
Higher setup counts and extended HTF displays may impact chart loading times. Adjust settings based on device performance and analysis requirements.
4. Closed-Source Protection Justification
4.1. Why This Indicator Requires Protected Source Code
The Fractal Market Model is the result of original research, development, and practical application of advanced price action frameworks. The indicator leverages proprietary algorithmic systems designed to interpret complex market behavior across multiple timeframes. To preserve the integrity of these innovations and prevent unauthorized replication, the source code is protected.
4.1.1. Key Proprietary Innovations
Real-Time Multi-Timeframe Correlation Engine: A dynamic logic system that synchronizes higher timeframe structural behaviour with lower timeframe execution shifts using custom correlation algorithms, adaptive thresholds, and time-sensitive conditions, supporting seamless fractal analysis across nested timeframes.
CISD Detection Framework: A dedicated mechanism for identifying Change in State of Delivery (CISD), where price closes through the open of an opposing candle at or near HTF swing highs or lows after liquidity has been swept. This is used to highlight potential zones of directional change based on historical order flow dynamics.
Fractal AMDX Cycle Recognition: An engineered structure that detects and classifies phases of Accumulation, Manipulation, Distribution, and Continuation/Reversal (AMDX) across configurable candle sequences, allowing traders to visualize market intent within a repeatable cycle model.
Dynamic Invalidation Logic: An automated monitoring system that continually evaluates the validity of active setups. Setups are invalidated in real time when price breaches the extreme of the manipulation phase (C2), ensuring analytical consistency and contextual alignment.
4.1.2. Community Value
The closed-source nature of this tool protects the author’s original intellectual property while still delivering value to the TradingView community. The indicator offers a complete, real-time visual framework, educational annotations, and intuitive controls for analysing price action structure and historically observed patterns commonly attributed to institutional behaviour across timeframes.
5. Disclaimer & Terms of Use
This indicator, titled Fractal Market Model , has been independently developed by the author based on their own study, interpretation, and practical application of the smart money concepts. The code and structure of this indicator are original and were written entirely from scratch to reflect the author's unique understanding and experience. This indicator is an invite-only script. It is closed-source to protect proprietary algorithms and research methodologies.
This tool is provided solely for educational and informational purposes. It is not intended—and must not be interpreted—as financial advice, investment guidance, or a recommendation to buy or sell any financial instrument. The indicator is designed to assist with technical analysis based on market structure theory but does not guarantee accuracy, profitability, or specific results.
Trading financial markets involves significant risk, including the possibility of loss of capital. By using this indicator, you acknowledge and accept that you are solely responsible for any decisions you make while using the tool, including all trading or investment outcomes. No part of this script or its features should be considered a signal or assurance of success in the market.
By subscribing to or using the indicator, you agree to the following:
You fully assume all responsibility and liability for the use of this product.
You release the author from any and all liability, including losses or damages arising from its use.
You acknowledge that past performance—real or hypothetical—does not guarantee future outcomes.
You understand that this indicator does not offer personalised advice, and no content associated with it constitutes a solicitation of financial action.
You agree that all purchases are final. Once access is granted, no refunds, reimbursements, or chargebacks will be issued under any circumstance.
You agree to not redistribute, resell, or reverse engineer the script or any part of its logic.
Users are expected to abide by all platform guidelines while using or interacting with this tool. For access instructions, please refer to the Author's Instructions section or access the tool through the verified vendor platform.
H turnoverTrading Value refers to the total monetary amount of all transactions for a particular stock or the entire market over a specific period. It is calculated by multiplying the trading volume (the number of shares traded) by the price at which they were traded. For example, if 10,000 shares of a stock are traded in a day at an average price of 50,000 KRW, the trading value for that day would be 500,000,000 KRW.
Key points about trading value:
Market Activity and Liquidity: A high trading value indicates an active and liquid market.
Flow of Investment Funds: Increasing trading value suggests more money is flowing into the market or a particular stock.
Relationship with Price Movements: When both trading value and price rise together, it often signals strong buying interest. Conversely, significant price changes with low trading value may be less reliable.
Market Sentiment Indicator: Changes in trading value can reflect shifts in investor interest and sentiment.
In summary, trading value is the total amount of money exchanged in trades and serves as an important indicator of market activity, liquidity, and investor sentiment.
Smart Money Concepts IndicatorBEST ICT AND SMC INDICATOR
The **Smart Money Concepts Indicator** is designed to enhance trading decisions by incorporating key principles from Smart Money Concepts (SMC), focusing on the detection of market structure changes, liquidity zones, order flow, and order blocks. This indicator is particularly useful for traders looking to understand market dynamics and make informed trading decisions based on advanced market analysis.
#### Key Features:
1. **Break of Structure (BOS)**:
- Identifies upward and downward breaks in market structure, indicating potential trend reversals.
- Visual markers on the chart help traders spot these critical levels.
2. **Change of Character (CHOCH)**:
- Detects significant changes in market direction, highlighting potential shifts in momentum.
- Clearly labeled signals indicate when the market may be changing its character.
3. **Order Blocks**:
- Highlights order blocks, which are key areas where significant buying or selling has occurred.
- Provides visual cues for potential support and resistance zones.
4. **Liquidity Zones**:
- Marks liquidity zones, indicating areas where buy-side or sell-side liquidity may be targeted.
- Helps traders understand where the market might draw liquidity.
5. **Dynamic Take Profit and Stop Loss Levels**:
- Calculates and plots take profit (TP) and stop loss (SL) levels based on the Average True Range (ATR) for adaptive risk management.
- Customizable multipliers allow traders to adjust levels based on their risk tolerance.
6. **Order Flow Analysis**:
- Displays bullish and bearish order flow signals based on candle close relative to open.
- Provides insights into market sentiment and potential future price action.
#### How to Use:
- **Identifying Entry and Exit Points**: Use BOS and CHOCH signals to find potential entry points, while leveraging TP and SL levels for risk management.
- **Market Analysis**: Analyze order blocks and liquidity zones to make informed decisions on market behavior.
- **Visual Confirmation**: The clear visual cues provided by the indicator make it easier to interpret market movements and align trades with institutional behavior.
#### Conclusion:
The Smart Money Concepts Indicator is an invaluable tool for traders looking to enhance their understanding of market structure and make more informed trading decisions. By integrating advanced concepts like BOS, CHOCH, and liquidity analysis, this indicator helps traders navigate the complexities of the market with greater confidence.
Gross and Net LTF Volume + Trailing Percentile Sessions CVOL Hi Traders !
Gross volume, net lower time frame (LTF) volume and trailing session percentile Cumulative session volume:
The code calculates and plots the following volume indicators:
Volume (Gross Volume): The total volume for the current bar.
Net lower time frame volume: The difference between the buy and sell volumes of the lower time frame.
Cumulative daily session volume: The cumulative sum of the volume for the current day.
Percentile Cumulative daily session volume: The percentile of the cumulative daily session volume (calculated on a rolling basis).
The above indicators may be plotted exclusively or exclusively.
Why is Volume important:
Volume is the number of shares or contracts traded (of a financial asset) during a given time period (timeframe). It is a crucial indicator in technical analysis and quantitative trading, as volume helps in identifying
Price Confirmation: Volume confirms price movements by indicating the level of interest and participation in the market. When prices move significantly, accompanied by strong volume, it suggests that the movement is likely to be sustained. Conversely, if prices move without significant volume, it suggests that the movement may be temporary or lacking conviction.
Trend Strength: Volume can help identify the strength and direction of a trend. During an uptrend, increasing volume alongside price increases indicates that the upward momentum is gaining traction. Conversely, decreasing volume during an uptrend suggests that the upward momentum may be weakening.
Reversal Points: Sharp volume spikes in the opposite direction of the prevailing trend can signal a potential reversal point. This is because large volume indicates a significant shift in trader sentiment, suggesting that the trend may be changing direction.
Liquidity: High volume indicates that a security is liquid, meaning that it can be easily bought and sold without significant price impact. Liquidity is important for traders who want to execute large orders without significantly affecting the market price.
For example, suppose we want to identify positive price confirmation and positive trend strength, in this case we may use the CVOL (with trailing percentile).
The above image showcases price expansion conditional on high positive volume (increasing CVOL), The price expansion also exhibits Volume confluences (the colored bars).
Positive Confluence: Increase in positive total volume and an increase in positive lower time frame volume in relative and absolute terms.
Negative Confluence : Increase in negative total volume and an increase in negative lower time frame volume in relative and absolute terms.
Also note how the percentile color does not change, this means that the new volume bars are > than the highest percentile (80%) of volume values from the beginning of the session.
MILLION MEN - Capitulation Hunter What it is
MILLION MEN – Capitulation Hunter detects potential capitulation buy-limits using a confluence of momentum, volatility, and liquidity cues. It combines a 5-oscillator sentiment (RSI / Stoch / CCI / MFI / MACD histogram) with EMA200 trend context, Bollinger lower band proximity, volume climax, and an optional liquidity sweep check. When all filters align, the tool paints a BUY-LIMIT zone and proposes SL/TP levels.
How it works (high-level)
Oscillator sentiment (0–100%): counts how many of the five oscillators are bullish; capitulation candidate = 0%.
Trend & location: price below EMA200 and at/through BB lower band (basis ± mult×σ).
Selling climax: current volume ≥ X × volume SMA.
Liquidity sweep (optional): current low sweeps the prior N-bar low but closes back above it.
Confirmation: optional 0–2 extra bars (close > low and bullish bodies) before validating.
On validation, the script draws: BUY-LIMIT zone, dotted SL = zone bottom − ATR×mult, TP by R:R, and a mini sentiment table.
How to use
Look for zones after fast, extended selloffs into BB-L with volume spike and oscillators at 0%.
Place pending BUY-LIMIT inside the painted zone; use the plotted SL/TP as a starting point.
Works across timeframes; adjust volume multiplier, sweep length, confirmation bars, and ATR×SL to your market.
For added confluence: HTF structure, session/flow, or order-book/liquidity context.
Originality & value
Instead of a generic mashup, this tool enforces a strict confluence: (1) five-oscillator capitulation, (2) location at BB-L under EMA200, (3) volume climax, (4) optional sweep/recapture, and (5) bar-based confirmation—then auto-renders a practical trade plan (zone + SL/TP) and a readable sentiment table. All calculations are manual (no lookahead) and designed for clarity and execution.
Limitations & transparency
Capitulation can persist during strong downtrends; always use structure and risk management.
SL/TP visuals are hints, not orders; adapt to instrument volatility and liquidity.
Non-standard chart types aren’t supported for signals. No future data is used.
This is not financial advice; past performance does not guarantee future results.
(ملخص عربي )
مؤشر يلتقط سيناريوهات الاستسلام البيعي (Capitulation) عبر شروط متشددة: مزاج مؤشرات الزخم = 0%، السعر تحت EMA200 وعند/أسفل BB-L، ذروة فوليوم، واختياري سويب قيعان ثم ارتداد. عند التأكيد يرسم منطقة BUY-LIMIT ويقترح SL/TP. استخدمه مع هيكل السوق وإدارة المخاطر.
Prophet Model [TakingProphets]The Prophet Model — context pipeline (HTF PDA → Sweep → CISD → EPE) with dynamic risk
Purpose
Informational overlay for organizing institutional context in real time. It does not issue buy/sell signals and is not financial advice. Use it to structure analysis and checklist-driven execution—not to automate decisions.
What it does (modules at a glance)
Projects HTF PD Arrays (FVGs) onto your current chart and maintains only the nearest active array.
Validates directional bias using Candle Range Theory (CRT) on the same HTF.
Tracks Liquidity Sweeps (BSL/SSL) on HTF-aware pivots.
Confirms Change in State of Delivery (CISD) via displacement after a sweep.
Optionally refines entries with EPE when a local (internal) imbalance forms right after CISD.
Derives dynamic TP/BE/SL from measured displacement and recent extremes (not fixed distances).
Keeps a rules checklist (PDA tap → CRT → Sweep → CISD) and a relationships table (common HTF↔LTF pairings) to enforce process.
How it works (integration, not a mashup)
The modules are sequenced on one HTF time base so each step gates the next:
HTF PD Arrays (context zone). The model identifies valid HTF FVGs, filters tiny/weekend gaps, removes arrays that are invalidated by clean trades-through, and persists only the nearest PDA. This focuses attention on the institutional zone most likely to matter now.
CRT (directional gating). CRT on the same HTF establishes a provisional bias. No entries are implied; CRT simply permits or forbids the following steps. If CRT disagrees with the PDA context, the checklist remains incomplete.
Liquidity Sweep (event). The model tracks HTF-aware BSL/SSL pivots. A sweep only “counts” if it occurs in relation to the active PDA (tap/engagement). This prevents generic swing-high/low tags from triggering downstream logic.
CISD (confirmation). After a qualified sweep, the tool looks for displacement through the sequence open (the open of the impulsive leg beginning at or immediately after the sweep). Crossing that threshold confirms CISD, which marks a structural delivery shift consistent with the CRT bias.
EPE (refinement, optional). Immediately following CISD, the model scans for a fresh internal imbalance. If found quickly, it promotes that price area as the Easiest Point of Entry (EPE) and relabels the reference. If not, the CISD level remains primary.
Dynamic risk levels. TP/BE/SL are derived from the measured displacement around the CISD leg (e.g., BE ≈ 1× leg, TP ≈ 2.25× stretch; SL aligned to nearby structural extremes rather than a fixed pip offset). Levels update with structure and can display prices.
By chaining PDA → CRT → Sweep → CISD → (EPE) → Risk on a single HTF backbone, the tool creates a coherent workflow where later signals simply do not appear without earlier context. That’s why this is not a bundle of independent features: each module’s output is another module’s input.
Concepts & operational rules (high level)
HTF PD Arrays (FVGs)
Uses a standard three-candle gap definition on the chosen HTF, with filters for weekend/tiny gaps.
Inverse mitigation: if price trades cleanly through an array, the box is removed and internal state resets.
Nearest-PDA persistence: when multiple arrays exist, only the closest remains visible to reduce clutter.
Optional right-extension draws lingering influence X bars forward.
Candle Range Theory (CRT)
Bullish CRT: candle 2 wicks below candle 1’s low but closes back inside candle 1’s range, without taking its high.
Bearish CRT: candle 2 wicks above candle 1’s high but closes back inside candle 1’s range, without taking its low.
Role: bias validation paired to CISD when alignments match the active PDA.
Liquidity Sweeps (BSL/SSL)
Tracks candidate HTF pivots as buy-/sell-side liquidity.
A sweep registers when price takes a tracked pivot in the vicinity of the active PDA.
CISD (Change in State of Delivery)
Finds the sequence open for the impulsive leg that begins at/after the sweep.
Bearish path (after BSL sweep): CISD when close < sequence-open.
Bullish path (after SSL sweep): CISD when close > sequence-open.
On confirmation, the model plots a CISD line, checks the box in the Strategy Checklist, and triggers risk calc.
EPE (Easiest Point of Entry)
Within a short window after CISD, scans for a local imbalance; if present, promotes that level as EPE.
If no imbalance forms, CISD remains the operative reference.
Dynamic TP / BE / SL
Built from the measured leg around CISD (not fixed pip steps).
Approximate geometry: BE ≈ 1× leg, TP ≈ 2.25× leg; SL respects nearby structural extremes.
Labels and price markers are optional.
Architecture notes
Maps the current chart to a higher timeframe (e.g., 15s→M5, M1→M15, M5→H1, M15→H4, H1→D, H4→W, D→M).
Retrieves HTF OHLC/time with no lookahead so structures update intrabar until the HTF bar closes.
Periodic cleanup clears obsolete lines/labels/boxes to keep charts responsive.
Inputs (summary)
FVGs/PD Arrays: show/hide, colors, borders, label size, right-extension, nearest-only toggle.
CRT: enable/disable, label style.
Sweeps/CISD/EPE: enable/disable, line/label styles, EPE window.
Risk Levels (TP/BE/SL): enable each, price labels on/off, colors.
Tables/Checklist: strategy checklist on/off; relationships table (common HTF↔LTF pairings); text sizes and header colors.
Alerts (optional)
You may add alertconditions aligned with these events in your own workspace:
HTF PDA tap (bullish/bearish box)
CRT detected (bullish/bearish)
CISD confirmed (bullish/bearish)
EPE set/updated
Example messages:
“Prophet: CISD confirmed on {{ticker}} / {{interval}}”
“Prophet: EPE refined at {{close}} ({{time}})”
Notes & limitations
HTF values are provisional until the HTF bar closes; labels/levels can update while forming.
CISD/EPE are live conditions; they can form and later invalidate within the same HTF bar.
Liquidity relationships vary by market/regime; thin sessions and large gaps can affect clarity.
Educational tool only. No performance claims; no trade signals.
Originality & scope (for protected/invite-only publications)
A single HTF-synchronized engine sequences PDA → CRT → Sweep → CISD → (EPE) and withholds later steps unless prerequisites are met.
Nearest-PDA persistence and inverse-mitigation enforce focus on the most relevant institutional zone.
Displacement-based risk math ties TP/BE/SL to structure instead of static offsets.
Checklist + relationships table promote consistent, rules-first behavior and reduce discretionary drift.
Attribution: Concepts inspired by ICT (PD arrays/FVGs, CRT, sweeps, displacement, refined entries). Design, integration logic, and risk framework by TakingProphets.
Market Structure ICT Screener [TradingFinder] BoS ChoCh🔵 Introduction
Market Structure is the foundation of every Smart Money and ICT based trading model. It describes how price moves through a sequence of highs and lows, forming clear phases of expansion, retracement and reversal. Understanding this structure allows traders to read institutional order flow and align their positions with the true direction of liquidity.
Two of the most critical components in Market Structure are the Break of Structure (BOS) and Change of Character (CHOCH). A BOS represents trend continuation, confirming strength within the current direction. In contrast, CHOCH also known as a Market Structure Shift (MSS) signals the first sign of a trend reversal or liquidity shift where order flow begins to change from bullish to bearish or vice versa.
Because the market is fractal, structure can exist at multiple levels known as Major (External) and Minor (Internal). Major structure defines the overall trend on higher timeframes while minor or internal structure reveals short term swings and early reversals within that larger move.
🔵 How to Use
Understanding Market Structure starts with identifying how price interacts with previous swing highs and swing lows. Every trend in the market, whether bullish or bearish, is built from a sequence of impulsive and corrective moves. Impulsive legs show strong displacement in the direction of liquidity flow, while corrective legs represent temporary pullbacks as the market rebalances before the next expansion. Recognizing these sequences is essential for reading the story of price and anticipating what may happen next.
A Break of Structure (BOS) occurs when price decisively moves beyond a previous structural point by breaking above the last high in an uptrend or falling below the last low in a downtrend. This event confirms that the current trend remains intact and that liquidity has been successfully taken from one side of the market. A BOS acts as confirmation of continuation and reflects strength within the existing directional bias.
A Change of Character (CHOCH) appears when price violates structure in the opposite direction of the prevailing trend. This is the first signal that market sentiment and order flow may be shifting. For example, during a downtrend if price breaks above a previous high, it indicates that sellers are losing control and a potential bullish reversal may be developing. In an uptrend, when price drops below a recent low, it suggests a possible bearish transition.
Because the market is fractal, structure exists across multiple layers. Major structure reflects the dominant movement visible on higher timeframes and defines the broader directional bias. Minor or internal structure represents smaller swings within that move and helps identify early transitions before they appear on the higher timeframe. When internal and external structures align, they offer a high probability signal for trend continuation or reversal.
By observing BOS and CHOCH across both internal and external structures, traders can clearly visualize when the market is expanding, contracting or preparing to shift direction. This structured understanding of price movement forms the foundation for precise trend analysis and high quality decision making in any Smart Money or ICT based trading approach.
🔵 Settings
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 20 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
Pivot Period : Set the length used to detect swing highs and lows. Shorter values increase sensitivity, longer ones focus on major structures.
🔵 Conclusion
Mastering Market Structure and understanding the relationship between BOS and CHOCH allows traders to see the market with greater clarity and confidence. These two elements reveal how liquidity moves through different phases of expansion and retracement and how institutional order flow shifts between accumulation and distribution.
By analyzing both internal and external structures, traders can align short term and long term perspectives and anticipate where price is most likely to react. The ability to read these structural shifts helps identify continuation points, reversals and areas where liquidity is engineered or collected.
Incorporating Market Structure into a consistent trading process transforms the way a trader views the chart. Instead of reacting to random movements, each swing, break and shift becomes part of a logical framework that reflects the true behavior of the market. Understanding BOS and CHOCH is not just a concept but a complete language of price that guides every professional decision in Smart Money and ICT based trading.
Indre likviditetDescription:
The Indre Likviditet (Inner Liquidity) indicator automatically detects and visualizes liquidity gaps / imbalance zones (often referred to as Fair Value Gaps) on any timeframe. It highlights price inefficiencies where the market moved too quickly in one direction, leaving untested areas of liquidity.
Key Features:
• Gap detection: Identifies bullish and bearish liquidity gaps based on three-candle logic.
• Multi-timeframe (MTF) mode: Option to detect gaps on the current timeframe, higher timeframe, or both simultaneously.
• Custom visuals: Bullish and bearish gaps are displayed as colored boxes, with optional midpoint lines. Colors for HTF vs current TF can be customized separately.
• Dynamic updates: Gaps shrink automatically as price partially retraces into them, and can be fully deleted when filled.
• Flexible fill logic: Choose whether gaps are considered “filled” once the midpoint is touched, or only on a complete fill.
• Labeling: Optional labels show which timeframe the gap belongs to.
• Auto-clean: Option to delete old gaps once filled, or keep them as historical references.
Use Case:
This tool helps traders quickly spot where imbalances exist in the market and track when they are filled. Liquidity gaps often act as magnets for price, making them useful areas for targeting entries, exits, or managing risk.
