Ultra VolumeVisualizes volume intensity using dynamic color gradients and percentile thresholds. Includes optional SMA, bar coloring, and adaptive liquidity boxes to highlight high- and low-volume zones in real time.
Introduction
The Ultra Volume indicator enhances volume analysis by categorizing volume bars into percentile-based intensity levels. It uses color-coded gradients to quickly identify periods of unusually high or low activity. The script also includes an optional simple moving average (SMA), bar coloring, and visual box overlays to highlight zones of significant liquidity shifts.
Detailed Description
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Volume Classification
Volume is segmented into five tiers: Extra High, High, Medium, Normal, and Low, using percentile ranks calculated over a dynamically adjusted historical window. This segmentation adapts based on the chart's timeframe – using 100 bars for daily and 1440/minutes for intraday – allowing for consistent behavior across resolutions.
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Color Gradients
Each volume bar is colored based on its percentile category, smoothly transitioning between thresholds for visual clarity. This makes it easy to spot volume spikes or droughts relative to recent history.
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Simple Moving Average (SMA)
An optional SMA can be plotted on top of the volume bars for trend comparison and baseline reference. Its length and color are fully customizable.
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Bar Coloring
You can optionally color the chart's candlesticks to reflect the same volume intensity as the histogram bars, reinforcing visual cues across the chart.
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Liquidity Boxes
Two adaptive box systems highlight zones of increased or decreased liquidity:
High Liquidity Boxes expand upward when price exceeds the previous box’s top.
Low Liquidity Boxes expand downward when price breaks the previous box’s bottom.
These boxes persist and auto-adjust over time unless reset, helping traders spot key zones of volume-driven price action.
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Box Indexing
A configurable index shift determines how far back in the chart the boxes originate. Setting this to 501 makes them "stick" to the candle where they were first created.
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Data Handling
A safety check ensures the script throws an error if volume data is unavailable (e.g., for some crypto or CFD symbols).
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Summary
Ultra Volume is a practical tool for traders who want more than just raw volume bars. With intelligent percentile-based classification, real-time adaptive liquidity zones, and fully customizable visual elements, it turns volume into a highly readable, actionable signal.
Tìm kiếm tập lệnh với "liquidity"
CandelaCharts - Fractal Range Model📝 Overview
The Fractal Range Model (FRM) is an all-encompassing and sophisticated trading framework that incorporates multiple market dynamics to provide a deeper understanding of price movements.
This model is built around several key principles, including Market Swing Points, Sweeps, Candle Mean, and Change in State of Delivery (CISD), which together offer a nuanced and effective approach to trading.
At its core, the model focuses on Market Swing Points, which represent crucial turning points in the market where price action shifts direction.
These points provide insight into potential reversals and momentum changes, allowing traders to identify key support and resistance areas.
Recognizing these swings is critical in anticipating future price movements and understanding the market’s underlying structure.
The Fractal Range Model (FRM) is a versatile trading strategy that adapts to various styles, whether you're into scalping, day trading, swing trading, or long-term investment. Its flexibility makes it suitable for traders with different time horizons and risk preferences, allowing it to be effectively applied across multiple market conditions.
📦 Features
Timeframe Alignment: This indicator reveals lower Timeframe movements within higher Timeframe candles, offering insights into micro trends, structure shifts, and key entry points.
Bias Selection: This feature lets analysts control bias and setup detection, viewing bullish, bearish, or neutral formations to align with higher Timeframe trends.
Double Purge Sweeps: A double purge is a type of Sweep where the price exceeds both the high and low of the previous candle (via wicks) and then closes within the range of the prior candle.
Time Filters: Sync Time and price by selecting custom Time windows to focus on relevant formations.
Higher Timeframe Candles: The Fractal Range Model integrates ICT Power of Three, helping traders spot key turning points and market transitions across Timeframes.
Higher Timeframe PD Arrays: The HTF PD Arrays (FVG, IFVG) are key points of interest that indicate significant market levels where valid sweeps are likely to occur.
Lower Timeframe PD Arrays: The LTF PD Arrays (FVG, IFVG), on the other hand, are used for identifying entry points.
Smart Money Technique: In the context of the Fractal Range Model (FRM), the SMT (Smart Money Technique) serves as a crucial confluence indicator that strengthens the reliability of a formed model.
Info Panel: Display a customizable table with key details like timeframe pairing, time to next candle close, bias, and time filter settings, with full control over size, location, and borders.
Suitable for any Market: Ideal for all markets - stocks, forex, crypto, futures, commodities and more - delivering consistent results and insights across diverse trading environments.
⚙️ Settings
Core
Status: Filter models based on status
Bias: Controls what model type will be displayed, bullish or bearish
Fractal: Controls the timeframe pairing will be used
Mean: Plots the equilibrium of the previous HTF candle
Liquidity: Displays the liquidity levels that belongs to the model
Sweep: Shows the sweep that forms a model
I-sweep: Controls the visibility of invalidated sweeps
D-purge: Plots the double purge sweeps
CISD: Displays the Change In State of Delivery for a model
Labels: Adjust the HTF candle label size
C-area: Highlights the region between current candle open and previous candle equilibrium
History
History: Controls the mount of past models displayed on the chart
Filters
Asia: Filter models based on Asia Killzone hours
London: Filter models based on London Killzone hours
NY AM: Filter models based on NY AM Killzone hours
NY Launch: Filter models based on NY Launch Killzone hours
NY PM: Filter models based on NY PM Killzone hours
Custom: Filter models based on user Custom hours
HTF
Candles: Controls the number of HTF candles that will be visible on the chart
Open: Highlights with a line the open price of current HTF candle
Show True Day Open: Display True Day Open line
Offset: Controls the distance of HTF from the current chart
Space: Controls the space between HTF candles
Size: Controls the size of HTF candles
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of PD Array
LTF
H/L Line: Displays on the LTF chart High and Low of each HTF candle
O/C Line: Displays on the LTF chart Open and Close of each HTF candle
PD Array: Displays ICT PD Arrays
CE Line: Style the equilibrium line of PD Array
Border: Style the border of PD Array
Projections
StDev: Controls standard deviation available levels
Labels: Controls the size of standard deviation levels
Anchor: Controls the anchor point of standard deviation levels (wick, body)
Lines: Controls the line widths and color of standard deviation levels
SMT
Show: Display SMT
Symbol: Symbol 1
Symbol: Symbol 2
Style: Controls the color of Bearish and Bullish SMTs
Dashboard
Panel: Display information about current model
💡 Framework
The model includes the following timeframe parings:
15s - 5m
1m - 15m
1m - 30m
2m - 20m
3m - 30m
3m - 60m
5m - 1H
15m - 4H
15m - 8H
30m - 9H
30m - 12H
1H - 1D
2H - 2D
3H - 3D
4H - 1W
8H - 2W
12H - 3W
1D - 1M
2D - 2M
1W - 3M
2W - 6M
3W - 9M
1M - 12M
The Fractal Range Model follows a specific lifecycle, which highlights the current state of the model and determines whether a trade opportunity is valid.
The model's lifecycle includes the following statuses:
Formation (grey)
Invalidation (red)
Success (green)
1. Formation
The Formation phase marks the initial setup of the Fractal Range Model. During this stage, the model identifies and plots key components, such as:
Sweeps: Market movements that indicate a potential reversal or strong shift in trend.
CISD (Change In State of Delivery): A structural change that provides insight into trend shifts.
Once these components are detected, the model automatically calculates and displays Projections and Liquidity Levels , offering insights into potential price action movements.
At this stage, the model also identifies and displays the following key elements:
HTF PD Arrays (Higher-Timeframe Price Delivery Arrays)
LTF PD Arrays (Lower-Timeframe Price Delivery Arrays)
Smart Money Technique (SMT)
If any of these elements are present, they will be automatically displayed on the chart.
2. Invalidation
A Fractal Range Model is considered invalidated when the price does not reach the 2 Standard Deviation level or the first identified liquidity level, and when the price breaks above the high that formed the Sweep.
Invalidation signals that the original setup is no longer reliable, and traders should avoid taking action based on the model's original parameters.
Key invalidation conditions:
Price fails to reach the 2 Standard Deviation level.
Price fails to reach the first liquidity level.
Price breaks the high/low that initiated the Sweep.
A potentially invalidated model is marked with a purple color above the label, indicating the sweep is invalidated by the next candle, but not the high that formed the sweep.
3. Success
A Fractal Range Model is considered successful when the price reaches the 2 Standard Deviation level or the first identified liquidity level. This indicates that the model's predictions align with actual market movements, confirming the setup's validity and providing a potential trading signal.
At this stage, alongside Projections and Liquidity levels, you'll also notice the C-area — the region between the current candle's open and the previous candle's mean. If respected, price action will follow the model's direction.
Key success conditions:
Price reaches the 2 Standard Deviation level.
Price reaches the first liquidity level.
By leveraging these phases, Formation, Invalidation, and Success, traders can effectively manage their positions, minimize risk, and capitalize on high-probability setups based on the Fractal Range Model.
⚡️ Showcase
Introducing Fractal Range Model is a powerful trading tool designed to elevate your market analysis and boost your trading success. Built with precision and advanced algorithms, this indicator helps you identify key trends, potential entry and exit points, and optimize your strategy for better decision-making.
History
HTF Candles
HTF PD Arrays
LTF PD Arrays
SMT
Unlock your full trading potential and experience the difference with Fractal Range Model — your ultimate tool for smarter, more informed trading decisions.
🚨 Alerts
This script offers alert options for all model types. The alerts need to be setup manually from Tradingview.
Bearish Model
A bearish model alert is triggered when a model forms, signaling a high sweep and CISD.
Bullish Model
A bullish model alert is triggered when a model forms, signaling a low sweep and CISD.
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Big Whale Finder (BWF)The Big Whale Finder (BWF) indicator is a technical analysis tool designed to detect large, hidden orders in financial markets. These orders, often placed by institutional traders or "whales," are significant in size but executed in a way that minimizes their impact on the market price.
This tool uses volume-based analysis to identify these orders, focusing on the detection of unusual volume spikes occurring in price regions where the market remains stagnant or shows minimal movement. The indicator aims to help traders identify potential areas of institutional activity, providing a strategic advantage by recognizing patterns of hidden liquidity.
Core Logic and Methodology
The BWF indicator combines two key factors to identify potential "whale" activity:
Volume Analysis: The first condition evaluates the volume relative to its average over a defined period. This is done by calculating the Simple Moving Average (SMA) of the volume and comparing current volume levels against this average. When the volume is significantly higher than the historical average, it signals the presence of a potentially large order.
Volume Threshold=Current Volume>(Average Volume×Threshold Factor)
Volume Threshold=Current Volume>(Average Volume×Threshold Factor)
According to market theory, large trades or "whale" activities often require substantial volumes to be executed. Identifying these anomalies can offer insights into the behavior of institutional players who seek to execute large transactions without disturbing the market (Lo, 2004).
Price Movement Analysis: The second condition considers the price change in relation to the volume. Specifically, if high volumes are detected but the price remains relatively stable, this suggests that large orders are being executed without significantly impacting the market price.
This phenomenon often occurs in "liquidity pools" or through algorithms designed to mask the true size of the orders. The indicator uses a price change threshold to identify this stagnation, with the condition that price movement remains below a certain percentage threshold.
Price Stagnation=(∣Close−Open∣Open)
ICT Setup 03 [TradingFinder] Judas Swing NY 9:30am + CHoCH/FVG🔵 Introduction
Judas Swing is an advanced trading setup designed to identify false price movements early in the trading day. This advanced trading strategy operates on the principle that major market players, or "smart money," drive price in a certain direction during the early hours to mislead smaller traders.
This deceptive movement attracts liquidity at specific levels, allowing larger players to execute primary trades in the opposite direction, ultimately causing the price to return to its true path.
The Judas Swing setup functions within two primary time frames, tailored separately for Forex and Stock markets. In the Forex market, the setup uses the 8:15 to 8:30 AM window to identify the high and low points, followed by the 8:30 to 8:45 AM frame to execute the Judas move and identify the CISD Level break, where Order Block and Fair Value Gap (FVG) zones are subsequently detected.
In the Stock market, these time frames shift to 9:15 to 9:30 AM for identifying highs and lows and 9:30 to 9:45 AM for executing the Judas move and CISD Level break.
Concepts such as Order Block and Fair Value Gap (FVG) are crucial in this setup. An Order Block represents a chart region with a high volume of buy or sell orders placed by major financial institutions, marking significant levels where price reacts.
Fair Value Gap (FVG) refers to areas where price has moved rapidly without balance between supply and demand, highlighting zones of potential price action and future liquidity.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The Judas Swing setup enables traders to pinpoint entry and exit points by utilizing Order Block and FVG concepts, helping them align with liquidity-driven moves orchestrated by smart money. This setup applies two distinct time frames for Forex and Stocks to capture early deceptive movements, offering traders optimized entry or exit moments.
🟣 Bullish Setup
In the Bullish Judas Swing setup, the first step is to identify High and Low points within the initial time frame. These levels serve as key points where price may react, forming the basis for analyzing the setup and assisting traders in anticipating future market shifts.
In the second time frame, a critical stage of the bullish setup begins. During this phase, the price may create a false break or Fake Break below the low level, a deceptive move by major players to absorb liquidity. This false move often causes smaller traders to enter positions incorrectly. After this fake-out, the price reverses upward, breaking the CISD Level, a critical point in the market structure, signaling a potential bullish trend.
Upon breaking the CISD Level and reversing upward, the indicator identifies both the Order Block and Fair Value Gap (FVG). The Order Block is an area where major players typically place large buy orders, signaling potential price support. Meanwhile, the FVG marks a region of supply-demand imbalance, signaling areas where price might react.
Ultimately, after these key zones are identified, a trader may open a buy position if the price reaches one of these critical areas—Order Block or FVG—and reacts positively. Trading at these levels enhances the chance of success due to liquidity absorption and support from smart money, marking an opportune time for entering a long position.
🟣 Bearish Setup
In the Bearish Judas Swing setup, analysis begins with marking the High and Low levels in the initial time frame. These levels serve as key zones where price could react, helping to signal possible trend reversals. Identifying these levels is essential for locating significant bearish zones and positioning traders to capitalize on downward movements.
In the second time frame, the primary bearish setup unfolds. During this stage, price may exhibit a Fake Break above the high, causing a brief move upward and misleading smaller traders into incorrect positions. After this false move, the price typically returns downward, breaking the CISD Level—a crucial bearish trend indicator.
With the CISD Level broken and a bearish trend confirmed, the indicator identifies the Order Block and Fair Value Gap (FVG). The Bearish Order Block is a region where smart money places significant sell orders, prompting a negative price reaction. The FVG denotes an area of supply-demand imbalance, signifying potential selling pressure.
When the price reaches one of these critical areas—the Bearish Order Block or FVG—and reacts downward, a trader may initiate a sell position. Entering trades at these levels, due to increased selling pressure and liquidity absorption, offers traders an advantage in profiting from price declines.
🔵 Settings
Market : The indicator allows users to choose between Forex and Stocks, automatically adjusting the time frames for the "Opening Range" and "Trading Permit" accordingly: Forex: 8:15–8:30 AM for identifying High and Low points, and 8:30–8:45 AM for capturing the Judas move and CISD Level break. Stocks: 9:15–9:30 AM for identifying High and Low points, and 9:30–9:45 AM for executing the Judas move and CISD Level break.
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 Judas Swing indicator helps traders spot reliable trading opportunities by detecting false price movements and key levels such as Order Block and FVG. With a focus on early market movements, this tool allows traders to align with major market participants, selecting entry and exit points with greater precision, thereby reducing trading risks.
Its extensive customization options enable adjustments for various market types and trading conditions, giving traders the flexibility to optimize their strategies. Based on ICT techniques and liquidity analysis, this indicator can be highly effective for those seeking precision in their entry points.
Overall, Judas Swing empowers traders to capitalize on significant market movements by leveraging price volatility. Offering precise and dependable signals, this tool presents an excellent opportunity for enhancing trading accuracy and improving performance
ICT Macros [LuxAlgo]The ICT Macros indicator aims to highlight & classify ICT Macros, which are time intervals where algorithmic trading takes place to interact with existing liquidity or to create new liquidity.
🔶 SETTINGS
🔹 Macros
Macro Time options (such as '09:50 AM 10:10'): Enable specific macro display.
Top Line , Mid Line , Bottom Line and Extending Lines options: Controls the lines for the specific macro.
🔹 Macro Classification
Length : A length to detect Market Structure Brakes and classify macro type based on detection.
Swing Area : Swing or Liquidity Area selection, highest/lowest of the wick or the candle bodies.
Accumulation , Manipulation and Expansion color options for the classified macros.
🔹 Others
Macro Texts : Controls both the size and the visibility of the macro text.
Alert Macro Times in Advance (Minutes) : This option will plot a vertical line presenting the start of the next macro time. The line will not appear all the time, but it will be there based on remaining minutes specified in the option.
Daylight Saving Time (DST) : Adjust time appropriate to Daylight Saving Time of the specific region.
🔶 USAGE
A macro is a way to automate a task or procedure which you perform on a regular basis.
In the context of ICT's teachings, a macro is a small program or set of instructions that unfolds within an algorithm, which influences price movements in the market. These macros operate at specific times and can be related to price runs from one level to another or certain market behaviors during specific time intervals. They help traders anticipate market movements and potential setups during specific time intervals.
To trade these effectively, it is important to understand the time of day when certain macros come into play, and it is strongly advised to introduce the concept of liquidity in your analysis.
Macros can be classified into three categories where the Macro classification is calculated based on the Market Structure prior to macro and the Market Structure during the macro duration:
Manipulation Macro
Manipulation macros are characterized by liquidity being swept both on the buyside and sellside.
Expansion Macro
Expansion macros are characterized by liquidity being swept only on the buyside or sellside. Prices within these macros are highly correlated with the overall trend.
Accumulation Macro
Accumulation macros are characterized by an accumulation of liquidity. Prices within these macros tend to range.
The script returns the maximum/minimum price values reached during the macro interval alongside the average between the maximum/minimum and extends them until a new macro starts. These levels can act as supports and resistances.
🔶 DETAILS
All required data for the macro detection and classification is retrieved using 1 minute data sets, this includes candles as well as pivot/swing highs and lows. This approach guarantees the visually presented objects are same (same highs/lows) on higher timeframes as well as the macro classification remain same as it is in 1 min charts.
8 Macros can be displayed by the script (4 are enabled by default):
02:33 AM 03:00 London Macro
04:03 AM 04:30 London Macro
08:50 AM 09:10 New York Macro
09:50 AM 10:10 New York Macro
10:50 AM 11:10 New York Macro
11:50 AM 12:10 New York Launch Macro
13:10 PM 13:40 New York Macro
15:15 PM 15:45 New York Macro
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in advance of the next Macro time, where the value specified in 'Alert Macro Times in Advance (Minutes)' option indicates how early to be notified.
🔶 LIMITATIONS
The script is supported on 1 min, 3 mins and 5 mins charts.
🔶 RELATED SCRIPTS
X-trend Liquidation Heatmap 🔥 X-TREND Liquidation Heatmap: Market Fuel Visualization
Stop trading blindly. X-Trend Liquidation Heatmap is an institutional-grade analytical tool designed to reveal what remains hidden from most retail traders: where the crowd's money is located.
The market always moves from liquidity to liquidity. This script transforms your chart into a professional heatmap, highlighting the specific price zones where stop-losses and liquidation levels of leveraged traders (10x, 25x, 50x, 100x) are concentrated. These are not just support and resistance lines—they are magnets for price action.
💎 WHAT YOU SEE ON THE CHART:
🟣 Liquidity Gradient Heatmap: Our unique algorithm visualizes the "density" of resting orders.
Faint Zones: Liquidation levels of low leverage positions (10x-25x).
Bright Neon Zones: Dense clusters of high leverage liquidations (50x-100x). Price often spikes through these zones to "sweep" the liquidity.
🟡 Gold Zones (Tested Liquidity): Areas of maximum interest that price has touched but not broken. These represent critical defense levels protected by market makers.
📊 Market Pressure Dashboard: A built-in panel analyzes Buyer/Seller pressure across all timeframes (LTF, MTF, HTF) + BTC Correlation. You get a clear numerical view of market sentiment (e.g., "Total 92% Long Pressure").
HOW TO USE IT? Stop placing your stop-losses where everyone else does. Use these zones as targets for Take Profit (exit into the crowd's liquidity) or look for reversal patterns when price "sweeps" a bright zone.
🚀 Perfect Synergy: Use the Heatmap to define your TARGETS, and use X-Trend Reversal (PRO) to pinpoint the exact ENTRY.
🔒 HOW TO GET ACCESS (INVITE-ONLY)
This script is a closed-source proprietary tool. Access is granted exclusively through our official channels.
⛔ NOTE: We do NOT respond to access requests in the comment section below. Please use the links above for instant support and license activation.
Global Market Scanner [Armi Goldman]Concept
This indicator is designed to provide a comprehensive "Bird's Eye View" of the global financial economy. Instead of focusing on a single chart, this dashboard allows traders to monitor capital rotation across every major asset class simultaneously. By tracking the Money Flux (daily percentage change) of these markets, users can instantly identify if the market environment is "Risk-On" (flowing into assets) or "Risk-Off" (fleeing to cash/bonds).
Features
The dashboard displays a real-time table in the top-right corner tracking 9 key sectors:
US M2 Money Supply: The broad measure of liquidity availability.
US Dollar (DXY): The global currency baseline.
Global Stocks (VT): World equities performance.
Crypto Market: Total cryptocurrency market capitalization.
Commodities: Gold, Silver, and Crude Oil (WTI).
Real Estate: Vanguard Real Estate ETF (VNQ).
Bonds: US Aggregate Bond Market.
How it Works
The script utilizes request.security() to fetch data from multiple asset classes regardless of the chart you are currently viewing.
Flux Calculation: The "Flux" column calculates the daily percentage change (Close - Open) / Open. This reveals the immediate direction of capital flow for the current session.
M2 Trend: For the Money Supply, the script calculates a 30-day rate of change to determine if the Fed is effectively "Inflating" (adding liquidity) or "Tightening" (removing liquidity).
Status Logic: The status column uses conditional logic to assign readable labels (e.g., "INFLOW" vs "OUTFLOW" or "STRONGER" vs "WEAKER") based on the positive or negative value of the Flux.
How to Use
Risk-On Signal: If Stocks, Crypto, and Real Estate show green "INFLOW" status while the Dollar (DXY) is red, capital is deploying into risk assets.
Flight to Safety: If Gold and Bonds are green while Equities are red, investors may be hedging against fear.
Cash is King: If DXY is strong (Green) and almost all other assets are red, liquidity is drying up and moving into Cash.
Liquidity Watch: Monitor the US M2 Supply. A simplified view is that when M2 is "Inflating," it provides a long-term tailwind for asset prices.
Tickers Used
Liquidity: ECONOMICS:USM2
Currency: TVC:DXY
Equities: AMEX:VT (Total World Stock ETF)
Real Estate: AMEX:VNQ (Vanguard Real Estate)
Bonds: AMEX:AGG
Commodities: TVC:GOLD, TVC:SILVER, TVC:USOIL
Crypto: CRYPTOCAP:TOTAL
Disclaimer This tool is for informational purposes only and does not constitute financial advice.
LEGEND IsoPulse Fusion Universal Volume Trend Buy Sell RadarLEGEND IsoPulse Fusion • Universal Volume Trend Buy Sell Radar
One line summary
LEGEND IsoPulse Fusion reads intent from price and volume together, learns which features matter most on your symbol, blends them into a single signed Fusion line in a stable unit range, and emits clear Buy Sell Close events with a structure gate and a liquidity safety gate so you act only when the tape is favorable.
What this script is and why it exists
Many traders keep separate windows for trend, volume, volatility, and regime filters. The result can feel fragmented. This script merges two complementary engines into one consistent view that is easy to read and simple to act on.
LEGEND Tensor estimates directional quality from five causally computed features that are normalized for stationarity. The features are Flow, Tail Pressure with Volume Mix, Path Curvature, Streak Persistence, and Entropy Order.
IsoPulse transforms raw volume into two decaying reservoirs for buy effort and sell effort using body location and wick geometry, then measures price travel per unit volume for efficiency, and detects volume bursts with a recency memory.
Both engines are mapped into the same unit range and fused by a regime aware mixer. When the tape is orderly the mixer leans toward trend features. When the tape is messy but a true push appears in volume efficiency with bursts the mixer allows IsoPulse to speak louder. The outcome is a single Fusion line that lives in a familiar range with calm behavior in quiet periods and expressive pushes when energy concentrates.
What makes it original and useful
Two reservoir volume split . The script assigns a portion of the bar volume to up effort and down effort using body location and wick geometry together. Effort decays through time using a forgetting factor so memory is present without becoming sticky.
Efficiency of move . Price travel per unit volume is often more informative than raw volume or raw range. The script normalizes both sides and centers the efficiency so it becomes signed fuel when multiplied by flow skew.
Burst detection with recency memory . Percent rank of volume highlights bursts. An exponential memory of how recently bursts clustered converts isolated blips into useful context.
Causal adaptive weighting . The LEGEND features do not receive static weights. The script learns, causally, which features have correlated with future returns on your symbol over a rolling window. Only positive contributions are allowed and weights are normalized for interpretability.
Regime aware fusion . Entropy based order and persistence create a mixer that blends IsoPulse with LEGEND. You see a single line rather than two competing panels, which reduces decision conflict.
How to read the screen in seconds
Fusion area . The pane fills above and below zero with a soft gradient. Deeper fill means stronger conviction. The white Fusion line sits on top for precise crossings.
Entry guides and exit guides . Two entry guides draw symmetrically at the active fused entry level. Two exit guides sit inside at a fraction of the entry. Think of them as an adaptive envelope.
Letters . B prints once when the script flips from flat to long. S prints once when the script flips from flat to short. C prints when a held position ends on the appropriate side. T prints when the structure gate first opens. A prints when the liquidity safety flag first appears.
Price bar paint . Bars tint green while long and red while short on the chart to mirror your virtual position.
HUD . A compact dashboard in the corner shows Fusion, IsoPulse, LEGEND, active entry and exit levels, regime status, current virtual position, and the vacuum z value with its avoid threshold.
What signals actually mean
Buy . A Buy prints when the Fusion line crosses above the active entry level while gates are open and the previous state was flat.
Sell . A Sell prints when the Fusion line crosses below the negative entry level while gates are open and the previous state was flat.
Close . A Close prints when Fusion cools back inside the exit envelope or when an opposite cross would occur or when a gate forces a stop, and the previous state was a hold.
Gates . The Trend gate requires sufficient entropy order or significant persistence. The Avoid gate uses a liquidity vacuum z score. Gates exist to protect you from weak tape and poor liquidity.
Inputs and practical tuning
Every input has a tooltip in the script. This section provides a concise reference that you can keep in mind while you work.
Setup
Core window . Controls statistics across features. Scalping often prefers the thirties or low fifties. Intraday often prefers the fifties to eighties. Swing often prefers the eighties to low hundreds. Smaller responds faster with more noise. Larger is calmer.
Smoothing . Short EMA on noisy features. A small value catches micro shifts. A larger value reduces whipsaw.
Fusion and thresholds
Weight lookback . Sample size for weight learning. Use at least five times the horizon. Larger is slower and more confident. Smaller is nimble and more reactive.
Weight horizon . How far ahead return is measured to assess feature value. Smaller favors quick reversion impulses. Larger favors continuation.
Adaptive thresholds . Entry and exit levels from rolling percentiles of the absolute LEGEND score. This self scales across assets and timeframes.
Entry percentile . Eighty selects the top quintile of pushes. Lower to seventy five for more signals. Raise for cleanliness.
Exit percentile . Mid fifties keeps trades honest without overstaying. Sixty holds longer with wider give back.
Order threshold . Minimum structure to trade. Zero point fifteen is a reasonable start. Lower to trade more. Raise to filter chop.
Avoid if Vac z . Liquidity safety level. One point two five is a good default on liquid markets. Thin markets may prefer a slightly higher setting to avoid permanent avoid mode.
IsoPulse
Iso forgetting per bar . Memory for the two reservoirs. Values near zero point nine eight to zero point nine nine five work across many symbols.
Wick weight in effort split . Balance between body location and wick geometry. Values near zero point three to zero point six capture useful behavior.
Efficiency window . Travel per volume window. Lower for snappy symbols. Higher for stability.
Burst percent rank window . Window for percent rank of volume. Around one hundred to three hundred covers most use cases.
Burst recency half life . How long burst clusters matter. Lower for quick fades. Higher for cluster memory.
IsoPulse gain . Pre compression gain before the atan mapping. Tune until the Fusion line lives inside a calm band most of the time with expressive spikes on true pushes.
Continuation and Reversal guides . Visual rails for IsoPulse that help you sense continuation or exhaustion zones. They do not force events.
Entry sensitivity and exit fraction
Entry sensitivity . Loose multiplies the fused entry level by a smaller factor which prints more trades. Strict multiplies by a larger factor which selects fewer and cleaner trades. Balanced is neutral.
Exit fraction . Exit level relative to the entry level in fused unit space. Values around one half to two thirds fit most symbols.
Visuals and UX
Columns and line . Use both to see context and precise crossings. If you present a very clean chart you can turn columns off and keep the line.
HUD . Keep it on while you learn the script. It teaches you how the gates and thresholds respond to your market.
Letters . B S C T A are informative and compact. For screenshots you can toggle them off.
Debug triggers . Show raw crosses even when gates block entries. This is useful when you tune the gates. Turn them off for normal use.
Quick start recipes
Scalping one to five minutes
Core window in the thirties to low fifties.
Horizon around five to eight.
Entry percentile around seventy five.
Exit fraction around zero point five five.
Order threshold around zero point one zero.
Avoid level around one point three zero.
Tune IsoPulse gain until normal Fusion sits inside a calm band and true squeezes push outside.
Intraday five to thirty minutes
Core window around fifty to eighty.
Horizon around ten to twelve.
Entry percentile around eighty.
Exit fraction around zero point five five to zero point six zero.
Order threshold around zero point one five.
Avoid level around one point two five.
Swing one hour to daily
Core window around eighty to one hundred twenty.
Horizon around twelve to twenty.
Entry percentile around eighty to eighty five.
Exit fraction around zero point six zero to zero point seven zero.
Order threshold around zero point two zero.
Avoid level around one point two zero.
How to connect signals to your risk plan
This is an indicator. You remain in control of orders and risk.
Stops . A simple choice is an ATR multiple measured on your chart timeframe. Intraday often prefers one point two five to one point five ATR. Swing often prefers one point five to two ATR. Adjust to symbol behavior and personal risk tolerance.
Exits . The script already prints a Close when Fusion cools inside the exit envelope. If you prefer targets you can mirror the entry envelope distance and convert that to points or percent in your own plan.
Position size . Fixed fractional or fixed risk per trade remains a sound baseline. One percent or less per trade is a common starting point for testing.
Sessions and news . Even with self scaling, some traders prefer to skip the first minutes after an open or scheduled news. Gate with your own session logic if needed.
Limitations and honest notes
No look ahead . The script is causal. The adaptive learner uses a shifted correlation, crosses are evaluated without peeking into the future, and no lookahead security calls are used. If you enable intrabar calculations a letter may appear then disappear before the close if the condition fails. This is normal for any cross based logic in real time.
No performance promises . Markets change. This is a decision aid, not a prediction machine. It will not win every sequence and it cannot guarantee statistical outcomes.
No dependence on other indicators . The chart should remain clean. You can add personal tools in private use but publications should keep the example chart readable.
Standard candles only for public signals . Non standard chart types can change event timing and produce unrealistic sequences. Use regular candles for demonstrations and publications.
Internal logic walkthrough
LEGEND feature block
Flow . Current return normalized by ATR then smoothed by a short EMA. This gives directional intent scaled to recent volatility.
Tail pressure with volume mix . The relative sizes of upper and lower wicks inside the high to low range produce a tail asymmetry. A volume based mix can emphasize wick information when volume is meaningful.
Path curvature . Second difference of close normalized by ATR and smoothed. This captures changes in impulse shape that can precede pushes or fades.
Streak persistence . Up and down close streaks are counted and netted. The result is normalized for the window length to keep behavior stable across symbols.
Entropy order . Shannon entropy of the probability of an up close. Lower entropy means more order. The value is oriented by Flow to preserve sign.
Causal weights . Each feature becomes a z score. A shifted correlation against future returns over the horizon produces a positive weight per feature. Weights are normalized so they sum to one for clarity. The result is angle mapped into a compact unit.
IsoPulse block
Effort split . The script estimates up effort and down effort per bar using both body location and wick geometry. Effort is integrated through time into two reservoirs using a forgetting factor.
Skew . The reservoir difference over the sum yields a stable skew in a known range. A short EMA smooths it.
Efficiency . Move size divided by average volume produces travel per unit volume. Normalization and centering around zero produce a symmetric measure.
Bursts and recency . Percent rank of volume highlights bursts. An exponential function of bars since last burst adds the notion of cluster memory.
IsoPulse unit . Skew multiplied by centered efficiency then scaled by the burst factor produces the raw IsoPulse that is angle mapped into the unit range.
Fusion and events
Regime factor . Entropy order and streak persistence form a mixer. Low structure favors IsoPulse. Higher structure favors LEGEND. The blend is convex so it remains interpretable.
Blended guides . Entry and exit guides are blended in the same way as the line so they stay consistent when regimes change. The envelope does not jump unexpectedly.
Virtual position . The script maintains state. Buy and Sell require a cross while flat and gates open. Close requires an exit or force condition while holding. Letters print once at the state change.
Disclosures
This script and description are educational. They do not constitute investment advice. Markets involve risk. You are responsible for your own decisions and for compliance with local rules. The logic is causal and does not look ahead. Signals on non standard chart types can be misleading and are not recommended for publication. When you test a strategy wrapper, use realistic commission and slippage, moderate risk per trade, and enough trades to form a meaningful sample, then document those assumptions if you share results.
Closing thoughts
Clarity builds confidence. The Fusion line gives a single view of intent. The letters communicate action without clutter. The HUD confirms context at a glance. The gates protect you from weak tape and poor liquidity. Tune it to your instrument, observe it across regimes, and use it as a consistent lens rather than a prediction oracle. The goal is not to trade every wiggle. The goal is to pick your spots with a calm process and to stand aside when the tape is not inviting.
Marubozu Detector with Dynamic SL/TP
Strategy Overview:
This indicator detects a "Marubozu" bullish pattern or a “Marubozu” bearish pattern to suggest potential buy and sell opportunities. It uses dynamic Stop Loss (SL) and Take Profit (TP) management, based on either market volatility (ATR) or liquidity zones.
This tool is intended for educational and informational purposes only.
Key Features:
Entry: Based on detecting Marubozu bullish or bearish candle pattern.
Exit: Targets are managed through ATR multiples or previous liquidity levels (swing highs or swing lows).
Smart Liquidity: Optionally identify deeper liquidity targets.
Full Alerts: Buy and Sell signals supported with customizable alerts.
Visualized Trades: Entry, SL, and TP levels are plotted on the chart.
User Inputs:
ATR Length, ATR Multipliers
Take Profit Mode (Liquidity/ATR)
Swing Lookback and Strength
Toggleable Buy/Sell alerts
All Time Frames
📖 How to Use:
Add the Indicator:
Apply the script to your chart from the TradingView indicators panel.
Look for Buy Signals:
A buy signal is triggered when the script detects a "Marubozu" bullish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Look for Sell Signals:
A Sell signal is triggered when the script detects a "Marubozu" bearish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Choose Take Profit Mode:
ATR Mode: TP is based on a volatility target.
Liquidity Mode: TP is based on past swing highs.
Set Alerts (Optional):
Enable Buy/Sell alerts in the settings to receive real-time notifications.
Practice First:
Always backtest and paper trade before live use.
📜 Disclaimer:
This script does not offer financial advice.
No guarantees of profit or performance are made.
Use in demo accounts or backtesting first.
Always practice proper risk management and seek advice from licensed professionals if needed.
✅ Script Compliance:
This script is designed in full accordance with TradingView’s House Rules for educational tools.
No financial advice is provided, no performance is guaranteed, and users are encouraged to backtest thoroughly.
Rapid ICT Suite - MTF Concepts & iFVGTitle: Rapid ICT Suite - MTF Concepts & iFVG
Overview
Unlock a new level of market analysis with the Rapid ICT Suite, a comprehensive, all-in-one indicator designed for the discerning price action trader. This powerful tool merges two distinct analytical engines into one seamless experience, allowing you to overlay critical Higher Timeframe (HTF) market structure onto your current chart while simultaneously tracking real-time Fair Value Gaps (FVGs) and their inversions (iFVGs).
Whether you are a scalper needing to respect 1H structure, a day trader aligning with the 4H bias, or a swing trader mapping the daily trend, this indicator provides the clarity and context you need to make higher-probability trading decisions. It was built from the ground up to solve common issues traders face, delivering stable, precise, and flexible analysis.
The Strategy: Targeting IRL with iFVG Entries
The Destination (The "Why"): Internal Range Liquidity (IRL)
On a Higher Timeframe (HTF), we will identify major Internal Range Liquidity (IRL) zones. In the context of ICT, IRL simply refers to unmitigated Fair Value Gaps (FVGs) that exist within a broader trading range.
These HTF FVGs act as powerful magnets for price. The market will often seek out these zones to rebalance before continuing its next major move. By plotting these on our chart, we establish a clear directional bias and a high-probability target. Our indicator will now label these HTF FVG boxes as "IRL".
The Entry Signal (The "How"): Inverted Fair Value Gaps (iFVG)
Once we have our HTF IRL target, we drop down to our Lower Timeframe (LTF) for execution.
We wait for price to create an Inverted Fair Value Gap (iFVG). An iFVG is a regular FVG that has failed and been traded through, signifying a shift in momentum.
An iFVG appearing on the LTF provides a high-precision entry signal to take a trade in the direction of the HTF IRL zone. It's our confirmation that the market is likely now making its move towards that destination.
Key Features
Multi-Timeframe Order Blocks (Boxes): Automatically identify and plot key HTF demand and supply zones (Order Blocks) onto your chart.
Multi-Timeframe Fair Value Gaps (Boxes): See where HTF imbalances exist, giving you a clear map of institutional reference points and potential targets.
Multi-Timeframe Liquidity Pools (Boxes): Pinpoint where buy-side and sell-side liquidity is likely resting, based on clusters of old highs and lows.
Current Timeframe FVG & iFVG (Lines/Labels): A second, independent engine tracks FVGs on your chosen timeframe, monitors them for mitigation, and automatically identifies when an FVG has been inverted (iFVG), a crucial shift in market dynamics.
The "Rapid" Advantage: Solving Trader Frustrations
This indicator was engineered to overcome three of the most common problems with technical indicators:
1. ✅ No More Flickering or "Ghost" Signals
The Problem: Many indicators show signals on the live, forming candle. This causes zones or signals to appear and disappear ("flicker"), leading to confusion and false entries.
The Solution: The Rapid ICT Suite uses 100% confirmed, closed-candle data for all its calculations (OB, FVG, and Liquidity). A zone will only appear on your chart after the price action that confirms it is complete. This means every signal is stable, reliable, and non-repainting.
2. ✅ Frame-Perfect, Precise Placement
The Problem: Indicators that use lookback logic often draw their signals one candle too late, causing a visual disconnect between the price pattern and the signal itself.
The Solution: We have corrected this common flaw. Every box and line is drawn starting from the exact confirmation candle of the pattern. This frame-perfect precision is critical for accurate analysis and planning your entries.
3. ✅ The Dual Analysis Engine: Uncluttered & Flexible
The Problem: Trying to analyze multiple timeframes at once can lead to cluttered charts and mental overload .
The Solution: This suite contains two independent parts that you can control separately.
Part 1 gives you the macro context—the HTF structure where big moves originate.
Part 2 gives you the micro details—the real-time FVG and iFVG story on your trading timeframe.
Use them together for a complete picture, or toggle one off to focus on a specific aspect of your strategy. This flexibility keeps your workspace clean and your analysis sharp.
How to Use & Settings Explained
The indicator settings are neatly organized into two main parts.
Part 1: MTF Concepts (OB, FVG, Liq)
This section controls the Higher Timeframe boxes that are overlaid onto your current chart.
Higher-TF for OB/FVG/Liq: This is the most important setting. Select the higher timeframe you want to analyze. For example, if you are trading on the 15-minute chart, you might set this to 240 (4-Hour) to see the key 4H zones.
Show Order-Blocks / FVGs / Liquidity: Simple toggles to turn each type of HTF zone on or off.
Max... Count: Controls how many of the most recent zones are displayed on the chart, preventing clutter from old, irrelevant zones.
Part 2: FVG & iFVG (Lines/Labels)
This section controls the second engine, which analyzes FVGs and iFVGs on its own selected timeframe.
Timeframe for FVG/iFVG: Choose the timeframe for this analysis. You can leave it blank to use your current chart's timeframe, or set it to a specific one.
Mitigation Type & Mitigation %: A powerful feature to define when an FVG is considered "used up."
Type: Choose if mitigation is counted from the candle's Wick or Close.
Percent: Set how far price must retrace into an FVG (e.g., 50%) before it is considered mitigated and the lines are removed from your chart.
FVG/iFVG Count: Controls how many of the most recent FVG/iFVG zones are displayed.
Style & Color Settings: Fully customize the appearance of the lines and labels to match your chart theme.
Final Words
This indicator was built to provide actionable clarity. By understanding the interplay between higher-timeframe structure and current price action, you can significantly enhance your trading edge. Thank you for choosing the Rapid ICT Suite.
Happy trading!
Price Action Three Soldiers Strategy Buy&Sell TP&SLStrategy Overview:
This indicator detects a "Three White Soldiers" bullish pattern to suggest potential buy opportunities. It uses dynamic Stop Loss (SL) and Take Profit (TP) management, based on either market volatility (ATR) or liquidity zones.
This tool is intended for educational and informational purposes only.
📈 Key Features:
Entry: Based on detecting Three White Soldiers candle pattern.
Exit: Targets are managed through ATR multiples or previous liquidity levels (swing highs).
Smart Liquidity: Optionally identify deeper liquidity targets.
Full Alerts: Buy and Sell signals supported with customizable alerts.
Visualized Trades: Entry, SL, and TP levels are plotted on the chart.
⚙️ User Inputs:
ATR Length, ATR Multipliers
Take Profit Mode (Liquidity/ATR)
Swing Lookback and Strength
Toggleable Buy/Sell alerts
📖 How to Use:
Add the Indicator:
Apply the script to your chart from the TradingView indicators panel.
Look for Buy Signals:
A buy signal is triggered when the script detects a "Three White Soldiers" bullish pattern.
Entry, Stop Loss, and Take Profit levels are plotted automatically.
Choose Take Profit Mode:
ATR Mode: TP is based on a volatility target.
Liquidity Mode: TP is based on past swing highs.
Set Alerts (Optional):
Enable Buy/Sell alerts in the settings to receive real-time notifications.
Practice First:
Always backtest and paper trade before live use.
📜 Disclaimer:
This script does not offer financial advice.
No guarantees of profit or performance are made.
Use in demo accounts or backtesting first.
Always practice proper risk management and seek advice from licensed professionals if needed.
✅ Script Compliance:
This script is designed in full accordance with TradingView’s House Rules for educational tools.
No financial advice is provided, no performance is guaranteed, and users are encouraged to backtest thoroughly.
LIT - ConfirmationsOverview
The LIT - Confirmations Indicator is a dynamic checklist tool designed for traders who uses LIT Strategy (Liquidity Inducement Theory) following liquidity and smart money concepts as benefit. This tool allows users to document and track essential trading confirmations directly on their TradingView charts, offering a structured and visual approach to market analysis.
What Makes This Unique?
Unlike other open-source tools, the LIT - Confirmations Indicator introduces a fully interactive and customizable table directly on the chart. This table provides real-time feedback with clear ✅ (checked) and ❌ (unchecked) visual indicators for each confirmation. The user can position the table on the chart according to their preference, ensuring it integrates seamlessly into their trading workflow without obscuring critical chart data.
How It Works
1. Predefined Confirmations
The indicator includes a set of commonly used trading confirmations:
Identify Liquidity: Mark areas where liquidity might pool.
Inducement: Confirm the presence of inducements before market reversals.
Relevant Break of Structure (BOS): Validate critical structural changes.
Mitigation after RBoS: Check for mitigation following a BOS.
Smart Money Trap (SMT): Identify traps often utilized by smart money.
Timing: Ensure trades are entered during high-probability time windows.
Mitigation to the Leftside: Confirm whether price action aligns with prior mitigations.
Set Targets: Define and document logical take-profit or stop-loss levels.
2.Interactive Table Display
A table is dynamically created on the chart, showing all confirmations with their current state (checked or unchecked).
Users can choose the position of the table (top, middle, or bottom and left, center, or right) and customize its background color for better visibility.
3. Customization
All confirmations are toggled through the input settings, allowing traders to adapt the indicator to their unique strategies.
The display can be easily adjusted to match the trader’s preferences without cluttering the chart.
How to Use
1. Add the indicator to your chart.
2. Open the settings panel to activate the relevant confirmations for your analysis.
3. Use the Display Settings section to adjust the table's position and background color.
4. View the table on your chart to track selected confirmations in real-time.
Who Is This For?
This indicator is ideal for traders who:
Use Liquidity Inducent Theory strategy in their analysis.
Prefer a structured and systematic trading approach.
Need an on-chart tool to document confirmations without relying on external notes or tools.
Why Closed Source?
The logic behind the interactive table and confirmation system is specifically tailored to LIT practitioners and is not publicly available in existing open-source scripts. The closed-source nature of this script protects its unique implementation, ensuring the integrity and exclusivity of the tool.
Disclaimer
This indicator does not provide trading signals or strategies. It is a tool to document user-defined confirmations and should be used in conjunction with a thorough understanding of market behavior and risk management practices.
GibbsFunctional Categories
Time Management
Timezone Settings: Configurable to adjust for different global time zones (e.g., GMT, GMT+1).
Daily and Weekly Resets: Functions to detect new days and weeks, used to mark specific periods on the chart.
Session Range Calculation: Ability to determine timeframes in minutes, hours, days, weeks, and months for precise market analysis.
Day and Week Separators
Daily Separators: Option to display daily separators that demarcate different trading days on the chart.
Weekends Highlight: Automatically grays out weekends for easy visual distinction.
Trading Sessions
Custom Sessions: Display trading sessions, such as:
Kill Zones: Morning and afternoon trading zones with customizable time ranges and background highlights.
Asian Session: Highlights the Asian market hours with liquidity data.
Session Background: Customizable colors for different sessions to visually separate them on the chart.
Liquidity Management
High and Low Points: Tracks previous day and week high/low prices, marking them for reference.
Labeling: Uses labels and lines to indicate if significant liquidity levels have been breached.
Session Liquidity: Identifies areas where liquidity is likely to accumulate, marking high and low ranges for Asian, CBDR, and other sessions.
Session-Specific Features
CBDR (Central Bank Dealers Range): Marks specific ranges based on sessions relevant for market analysis.
Range Projections: Projects key levels based on the size of the CBDR range for additional price targets.
Previous Day CBDR: Option to display CBDR from the previous day, aiding in historical price movement analysis.
Header and Display Customization
Header Text: Customizable text for the indicator's header to provide a quick reference.
Table Management: Simple table for organizing and displaying important textual information.
This indicator is ideal for traders who focus on session-based strategies and wish to have comprehensive visibility of previous liquidity points, trading zones, and day/week high and low levels on their charts.
EGX30 Advance/Decline Line
📈 EGX30 Advance/Decline Line Indicator: Overview and Usage
The EGX30 Advance/Decline Line indicator is a comprehensive tool designed to analyze the market breadth and sentiment of the EGX30 index by aggregating and visualizing statistics from its 29 component stocks. It goes beyond simple price action to provide deeper insights into the underlying strength or weakness of the index's movers.
This script allows users to select from five primary metrics and includes advanced features like automatic parameter configuration based on the chart's timeframe and a detailed information table summarizing the day's market activity.
Key Features and Available Metrics
You can select one of the following primary metrics from the 'Select Metric' dropdown menu:
1. Advance/Decline Line (A/D Line):
Plots the cumulative total of Net Advances (Advancing Issues - Declining Issues).
It is used to confirm the index's trend or warn of divergences, where the index is rising but the A/D line is falling (suggesting fewer stocks are participating in the rally).
Includes a Zero Line and a configurable Simple Moving Average (SMA).
2. McClellan Oscillator (MCC):
A breadth oscillator based on the difference between two Exponential Moving Averages (EMAs) of the Advance/Decline Ratio.
It measures the speed and direction of market breadth momentum.
Includes a Buy Climax (0.1) and Sell Climax (-0.1) dotted lines to identify overbought/oversold conditions.
3. Arms Index (TRIN - TRading INdex):
A volume-based oscillator that compares the ratio of Advancing Issues/Declining Issues to the ratio of Advancing Volume/Declining Volume.
A reading above 1.0 (Neutral Level) suggests selling pressure (Declining Volume is relatively high), while a reading below 1.0 suggests buying pressure (Advancing Volume is relatively high).
Includes a Neutral Level (1.0) and Upper/Lower Bands based on Standard Deviation to identify Overbought/Oversold extremes.
4. Total Volume:
Plots the aggregated total volume for all 29 EGX30 component stocks.
Includes a SMA for trend comparison.
5. Total Liquidity:
Plots the aggregated total traded value (Price * Volume) for all 29 component stocks.
A measure of overall capital movement in the index components.
Includes a SMA for trend comparison.
⚙️ Configuration Settings
The indicator includes two primary configuration groups:
Timeframe Configuration
▶️ Enable Automatic Timeframe Configuration: When enabled (default), the script automatically optimizes the lookback lengths for the Moving Averages (MA), McClellan Oscillator, and TRIN based on whether the chart is set to an Intraday, Daily, or Weekly timeframe.
⚙️ Manual Overrides: Disable the automatic configuration to manually set the lengths for MA Length, McClellan Fast EMA, McClellan Slow EMA, and TRIN Lookback.
Table Settings
The indicator displays a table in the top-right corner summarizing key market breadth statistics.
Number of Top Contributors: Sets the number of top stocks (up to 29) to display in the table.
Show Top Contributors (Performance): Shows the stocks with the largest absolute index-weighted contribution to the EGX30's movement.
Show Top Contributors (Volume): Shows the stocks with the highest traded value (liquidity), displayed as a percentage of the total traded value.
The table also provides a persistent summary of:
Advancing, Declining, and Unchanged Issues.
Net Advancements (unless TRIN is selected).
Net Volume % and Net Liquidity %.
Mode-specific statistics like Total Volume/Liquidity or Advancing/Declining Volume.
ScalpDaddy V3ScalpDaddy bundles eight battle‑tested tools into a single, toggleable overlay for fast confluence and clean charts. It’s designed for intraday scalpers and swing traders who want a lightweight dashboard plus precision levels and volatility context—without juggling multiple indicators.
What’s Inside (all can be turned on/off)
SD: Trend Sniper (MTF RSI/ADX table)
8‑TF heatmap with emoji glyphs (momentum/strength/chop).
Weighted bias meter, HTF dominance and adjacency bonus to reward agreement.
Tiny Entry‑Qualifier dashboard (Trend, Throttle, Quality, Boost) for quick “go/no‑go”.
SD: Squeeze (BB/KC)
Bollinger Bands + Keltner Channel with squeeze fill for compression/expansion reads.
SD: Fibonacci Levels
Swing‑aware fib grid with instant flip option, reject band, extension gates, target‑zone shading, and labels.
SD: PM/AH/RTH Levels
Prior extended‑hours and prior RTH high/low, with dynamic/previous‑only modes.
SD: Pivot Points (Structure)
Clean, confirmed pivot markers to visualize HH/HL/LH/LL, BOS/MSS turns.
SD: Liquidity Sweeper
Buyside/Sellside liquidity pools with live maintenance and optional invalidation highlighting.
SD: FVG Finder
Present/Full‑history scan with budget controls, configurable fill logic and coloring.
SD: Fourier ATR
Smoothed ATR “center line” with envelope; optional labels when price exits/re‑enters the band.
Quick Start
Open inputs. In “SD: Modules,” enable only what you need for the session.
For Trend Sniper:
Pick “Table TF Preset” (e.g., fibs day trade, scalp, short/long swing) or enable “Custom TFs” and set each TF.
Choose Update Mode: “Live” for intrabar responsiveness or “On Close” for confirmed, non‑flickering signals.
Table and mini dashboard positions are configurable.
Optional confluence:
Turn on Squeeze to spot compression before Trend Sniper shifts.
Add Sessions + Liquidity + FVG to map targets/voids and where price is likely to react.
Use ATR Envelope to gauge when price is stretching outside normal travel.
How To Read The Trend Sniper Table
Emojis:
🚀/🔥 = bullish pressure; ⚓️/🩸 = bearish pressure; 🪓 = chop; ⚠️ = caution (e.g., OB/OS with strong ADX).
Bias:
A normalized, weighted read of the 8 TFs. The default thresholds used for alerts: +0.30 (bullish) / −0.30 (bearish).
HTF dominance:
When enabled, strong alignment on the slowest TFs dampens opposite LTF noise.
Entry‑Qualifier mini dash:
“Trend” (ADX), “Throttle” (RSI), “Quality” (Chop), “Boost” (relative volume). Green/steady reads support continuation; yellow/red flags warn of choppiness/whipsaw.
Module Notes
Squeeze (BB/KC): Look for squeeze fill changes—breakouts often follow compression.
Fibonacci: “Zigzag Period” sets swing sensitivity; “Instant flip” optionally flips the active leg when price breaks a chosen threshold (wick/close). Target‑zone shading highlights extension ranges; labels can be limited to extensions only.
PM/AH/RTH: “RTH Mode” = Dynamic (today’s running levels during RTH) or Previous Session Only. Optional volume filter for PM/AH to show only significant sessions.
Pivot Points: Uses confirmed pivots; simple circular markers show HH/HL/LH/LL and shifts (BOS/MSS) without clutter.
Liquidity: “margin” adjusts pool thickness sensitivity; enable “Show Broken” to keep invalidated pools visible with different fill.
FVG Finder: Choose Present or Full History and set a bar budget to control performance. “Fill Mode” supports touch/close/percent thresholds.
Fourier ATR: Envelope defines typical travel. Optional labels:
⚠️ when price exits the band
⬇️ when price re‑enters
Built‑in Alerts
Open the Alerts dialog and choose this indicator; you’ll see named alerts you can attach to any symbol/interval:
Bull Combo (🚀/🔥 no ⚠️)
Table: RSI/ADX Bull Majority
Table: RSI/ADX Bear Majority
Bias turns Bullish (≥ +0.30)
Bias turns Bearish (≤ −0.30)
EQ Bull Align
EQ Bear Align
ATR: ⚠️ Price exited envelope
ATR: ⬇️ Price re‑entered envelope
Performance Tips
Start with only the modules you need. Turn others off in “SD: Modules.”
For FVG, use Present mode with a reasonable “Present Mode Bars” budget on lower timeframes.
Set Trend Sniper to “On Close” for steadier updates during fast markets.
Heavy drawings (many labels/lines/fills) can be reduced by lowering visible counts or disabling labels.
Best Practices & Disclaimers
Educational tool, not financial advice. Past performance does not guarantee future results.
Signals are contextual—use with sound risk management and higher‑timeframe bias.
Some elements can update intrabar when “Live” or “allow repaint” is on (ATR emojis); prefer confirmed/close‑based modes if you want steadier behavior.
Works on most symbols and timeframes; intended primarily for intraday to swing trading.
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator
The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders:
✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity.
✔ Detect periods of capital inflow or outflow from stablecoins.
✔ Identify market sentiment shifts based on stablecoin reserves.
🔶 CALCULATION
The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap:
Stablecoin Aggregation
• Inputs:
USDT, USDC, DAI, USDD (daily closing values).
BUSD Market Cap (Glassnode data).
• Total Stablecoin Supply:
Sum of the listed stablecoins' market caps.
Stablecoin Supply Ratio (SSR)
• Formula:
SSR = Bitcoin Market Cap / Total Stablecoin Supply
• Normalized SSR:
Normalized by dividing SSR by its 200-day SMA.
Bollinger Bands
• Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations.
Example Calculation:
ssr = btcmc / stablecoin_liq
ratio = ssr / ta.sma(ssr, 200)
basis = ta.sma(ratio, 200)
dev = 2 * ta.stdev(ratio, 200)
upper = basis + dev
lower = basis - dev
🔶 DETAILS
Visual Features:
• Normalized SSR:
Plotted as a light green line.
• Upper Band:
Red line indicating SSR overbought zone.
• Lower Band:
Green line signaling SSR oversold zone.
Interpretation:
• High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power.
• Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure.
• Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes.
🔶 EXAMPLES
Market insights include:
• Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain.
• Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand.
🔶 SETTINGS
Customization Options:
• MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation.
• Period: Adjust the 200-day smoothing period.
• Deviation Multiplier: Modify the standard deviation multiplier (default: 2).
The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
[Daily] CRT with OHLC Reference Here’s a breakdown of Daily CRT:
1. What is Daily CRT?
Daily CRT focuses on the price action of daily candles, treating them as ranges that can be broken or manipulated.
The theory suggests that certain candles on the daily chart form ranges that act as key levels for price expansion or reversal.
These ranges are not just simple support and resistance levels but are tied to the concept of liquidity draws, where price is likely to move towards areas where liquidity is concentrated (e.g., highs, lows, or key levels).
2. Key Components of Daily CRT
Ranging Candle: The first candle in the CRT setup establishes the range. This candle’s high and low become the key levels to watch.
Manipulation Candle: The second candle often manipulates the range by either breaking it or testing it. This is where turtle soup (false breakouts) can occur.
Distribution Candle: The third candle is where the price either confirms the breakout or reverses, leading to a potential expansion in the opposite direction.
3. How to Use Daily CRT
Identify the Range: On the daily chart, identify a candle that forms a clear range (high and low). This is your Ranging Candle.
Watch for Manipulation: The next candle (Manipulation Candle) will often test or break the range. If it breaks the range but then reverses back inside, it’s a turtle soup (false breakout), indicating a potential reversal.
Trade the Distribution: The third candle (Distribution Candle) is where you look for confirmation. If the price breaks the range and continues in the same direction, it’s a true breakout. If it reverses, it’s a false breakout, and you can trade the reversal.
4. Daily CRT and Key Levels
Daily CRT works best when combined with higher timeframe key levels (e.g., weekly or monthly highs/lows, order blocks, fair value gaps, etc.).
The daily candle ranges often align with these key levels, providing confluence for potential reversals or expansions.
5. Time Alignment in Daily CRT
Time is a critical factor in CRT. The PDF emphasizes that the highest probability CRT setups occur at specific times of the day or week.
For example, the purge (breakout or reversal) of a daily CRT often happens during key trading sessions (e.g., London open, New York open).
6. Practical Steps for Daily CRT
Determine the Draw on Liquidity: Use higher timeframe analysis (weekly or monthly) to identify where price is likely to move (e.g., towards a key level or liquidity pool).
Identify the Daily Range: On the daily chart, mark the high and low of the ranging candle.
Watch for Manipulation: Observe the next candle to see if it breaks the range or tests it. Look for signs of turtle soup (false breakouts).
Trade the Distribution: Once the third candle confirms the direction (either breakout or reversal), enter the trade with proper risk management.
7. Example of Daily CRT
Ranging Candle: On Monday, a daily candle forms a range between 1.1000 (low) and 1.1100 (high).
Manipulation Candle: On Tuesday, the price breaks below 1.1000 but then reverses back above it, forming a turtle soup (false breakout).
Distribution Candle: On Wednesday, the price confirms the reversal by breaking above 1.1100, signaling a potential bullish expansion.
8. Integration with Other Concepts
Daily CRT should not be used in isolation. It works best when combined with other ICT concepts like:
Market Profiles: Understanding whether the market is in a ranging, expansion, or reversal phase.
Orderflow: Identifying bullish or bearish orderflow to confirm the direction of the CRT.
Key Levels: Using higher timeframe key levels to add confluence to the CRT setup.
Time: Aligning the CRT with key times (e.g., London open, New York open) for higher probability setups.
9. Risk Management in Daily CRT
Always use proper risk management when trading CRT setups. The PDF suggests risking no more than 0.5% of your account per trade.
Use stop-losses and position sizing to protect your capital, especially since CRT setups can involve false breakouts (turtle soups).
10. Summary
Daily CRT is a powerful tool for identifying key levels and potential price expansions or reversals on the daily chart.
It involves analyzing three key candles: the Ranging Candle, the Manipulation Candle, and the Distribution Candle.
The theory is most effective when combined with higher timeframe key levels, market profiles, orderflow, and proper time alignment.
By mastering Daily CRT, you can improve your ability to predict market movements and frame high-probability trades.
Engulfing Candles with Sweep by AydmaxxEngulfing Candles with Sweep Indicator
The "Engulfing Candles with Sweep" indicator identifies bullish and bearish engulfing candles that exhibit liquidity sweeps. It marks these significant candlestick patterns and draws a 50% Fibonacci retracement line from the high to low of the engulfing candle. The indicator helps traders spot potential reversal points where large market players might be accumulating or distributing positions.
Key Features:
Bullish Engulfing Candle with Sweep:
Identifies when a bullish candle (closing higher than it opened) engulfs the previous bearish candle (closing lower than it opened).
Ensures that the bullish candle’s low is lower than the previous candle’s low, indicating a sweep of liquidity.
Marks the identified bullish candle with a symbol below the candlestick.
Draws a 50% Fibonacci retracement line from the high to the low of the bullish engulfing candle.
Bearish Engulfing Candle with Sweep:
Identifies when a bearish candle (closing lower than it opened) engulfs the previous bullish candle (closing higher than it opened).
Ensures that the bearish candle’s high is higher than the previous candle’s high, indicating a sweep of liquidity.
Marks the identified bearish candle with a symbol above the candlestick.
Draws a 50% Fibonacci retracement line from the high to the low of the bearish engulfing candle.
Customizable Settings:
Fibonacci Line Color: Allows customization of the Fibonacci retracement line color for both bullish and bearish engulfing candles.
Fibonacci Line Style: Provides options to choose the line style (solid, dotted, dashed).
Fibonacci Line Width: Enables adjustment of the line width for better visibility.
Toggle Fibonacci Lines: Option to enable or disable the display of Fibonacci retracement lines.
How to Use:
Apply the indicator to your chart.
Look for symbols below or above the candlesticks, indicating bullish or bearish engulfing candles with liquidity sweeps.
Utilize the 50% Fibonacci retracement lines to identify potential support or resistance levels.
Benefits:
Helps in identifying key reversal patterns in the market.
Provides visual aids with Fibonacci retracement levels for potential entry and exit points.
Enhances trading decisions by confirming engulfing patterns with liquidity sweeps.
ICT Power Of Three | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Power Of Three Indicator! This indicator is built around the ICT's "Power Of Three" strategy. This strategy makes use of these 3 key smart money concepts : Accumulation, Manipulation and Distribution. Each step is explained in detail within this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Power Of Three Indicator :
Implementation of ICT's Power Of Three Strategy
Different Algorithm Modes
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The "Power Of Three" comes from these three keywords "Accumulation, Manipulation and Distribution". Here is a brief explanation of each keyword :
Accumulation -> Accumulation phase is when the smart money accumulate their positions in a fixed range. This phase indicates price stability, generally meaning that the price constantly switches between up & down trend between a low and a high pivot point. When the indicator detects an accumulation zone, the Power Of Three strategy begins.
Manipulation -> When the smart money needs to increase their position sizes, they need retail traders' positions for liquidity. So, they manipulate the market into the opposite direction of their intended direction. This will result in retail traders opening positions the way that the smart money intended them to do, creating liquidity. After this step, the real move that the smart money intended begins.
Distribution -> This is when the real intention of the smart money comes into action. With the new liquidity thanks to the manipulation phase, the smart money add their positions towards the opposite direction of the retail mindset. The purpose of this indicator is to detect the accumulation and manipulation phases, and help the trader move towards the same direction as the smart money for their trades.
Detection Methods Of The Indicator :
Accumulation -> The indicator detects accumulation zones as explained step-by-step :
1. Draw two lines from the lowest point and the highest point of the latest X bars.
2. If the (high line - low line) is lower than Average True Range (ATR) * accumulationConstant
3. After the condition is validated, an accumulation zone is detected. The accumulation zone will be invalidated and manipulation phase will begin when the range is broken.
Manipulation -> If the accumulation range is broken, check if the current bar closes / wicks above the (high line + ATR * manipulationConstant) or below the (low line - ATR * manipulationConstant). If the condition is met, the indicator detects a manipulation zone.
Distribution -> The purpose of this indicator is to try to foresee the distribution zone, so instead of a detection, after the manipulation zone is detected the indicator automatically create a "shadow" distribution zone towards the opposite direction of the freshly detected manipulation zone. This shadow distribution zone comes with a take-profit and stop-loss layout, customizable by the trader in the settings.
The X bars, accumulationConstant and manipulationConstant are subject to change with the "Algorithm Mode" setting. Read the "Settings" section for more information.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suite for the ICT's Power Of Three concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Algorithm Mode -> The indicator offers 3 different detection algorithm modes according to your needs. Here is the explanation of each mode.
a) Small Manipulation
This mode has the default bar length for the accumulation detection, but a lower manipulation constant, meaning that slighter imbalances in the price action can be detected as manipulation. This setting can be useful on tickers that have lower liquidity, thus can be manipulated easier.
b) Big Manipulation
This mode has the default bar length for the accumulation detection, but a higher manipulation constant, meaning that heavier imbalances on the price action are required in order to detect manipulation zones. This setting can be useful on tickers that have higher liquidity, thus can be manipulated harder.
c) Short Accumulation
This mode has a ~70% lower bar length requirement for accumulation zone detection, and the default manipulation constant. This setting can be useful on tickers that are highly volatile and do not enter accumulation phases too often.
Breakout Method -> If "Close" is selected, bar close price will be taken into calculation when Accumulation & Manipulation zone invalidation. If "Wick" is selected, a wick will be enough to validate the corresponding zone.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
3. Visuals
Show Zones -> Enables / Disables rendering of Accumulation (yellow) and Manipulation (red) zones.
Math by Thomas SMC Buy and Sell Model📖 DESCRIPTION
This indicator is built on Smart Money Concepts (SMC) and focuses on how institutions actually execute trades.
Instead of predicting direction, it identifies three critical market states:
Acceptance (Sideways / Consolidation)
Liquidity Location (PDH / PDL / Swing High–Low)
Volatility Release (Breakout with intent)
The model waits for price compression (inventory build) near liquidity and triggers trades only when price breaks in the direction of liquidity.
This approach is especially suitable for index option buying, where timing and expansion matter more than prediction.
🧠 CORE LOGIC (SIMPLE EXPLANATION)
1️⃣ Sideways / Acceptance Phase
The indicator detects periods where price accepts value
These zones represent institutional inventory building
Shown as blue boxes on the chart
2️⃣ Liquidity Context
The indicator tracks:
Previous Day High (PDH)
Previous Day Low (PDL)
Swing Highs & Swing Lows
These levels act as liquidity targets for institutional moves.
3️⃣ Buy / Sell Signal
A signal appears only when:
Price breaks out of a sideways box
The breakout is towards liquidity
This avoids:
Random breakouts
Counter-trend trades
Low-probability entries
🟢 BUY SIGNAL RULES
A BUY (CALL) signal is generated when:
A valid sideways box is present
Candle closes above the box high
Liquidity exists above price
PDH or Swing High above
📌 The signal appears after candle close (no repaint).
🔴 SELL SIGNAL RULES
A SELL (PUT) signal is generated when:
A valid sideways box is present
Candle closes below the box low
Liquidity exists below price
PDL or Swing Low below
📌 The signal appears after candle close (no repaint).
⏱️ BEST TIMEFRAME
✅ Recommended timeframe: 5 MINUTE
Why 5-minute works best:
Cleaner acceptance zones
Meaningful liquidity reactions
Less noise than 1-minute
Faster execution than higher timeframes
⚠️ 1-minute charts may produce noisy signals.
⚠️ Higher timeframes may delay option entries.
🕒 BEST MARKET TIME
For index trading (NIFTY / BANKNIFTY):
✅ 9:30 AM – 2:45 PM
❌ Avoid late entries after 3:10 PM
🎯 WHO SHOULD USE THIS INDICATOR
✔️ Index option buyers
✔️ Traders using SMC / price action
✔️ Traders who want logic-based entries
✔️ Those avoiding prediction-based trading
❌ WHAT THIS INDICATOR IS NOT
❌ Not a scalping indicator
❌ Not a trend-following MA system
❌ Not for blind signal trading
This is a context-based execution tool.
🎓 EDUCATIONAL NOTE
This indicator does not predict the market.
It helps identify when institutions are likely executing after inventory build-up.
Always combine with:
Proper risk management
Market context
Discipline
⚠️ DISCLAIMER
This indicator is for educational purposes only.
Trading involves risk.
The author is not responsible for financial losses.
📖 விளக்கம் (DESCRIPTION)
இந்த இன்டிகேட்டர் Smart Money Concepts (SMC) அடிப்படையில் உருவாக்கப்பட்டது.
மார்க்கெட் எந்த திசைக்கு போகும் என்று ஊகிப்பதில்லை;
இன்ஸ்டிடியூஷன்கள் எப்போது உண்மையாக செயல்படுகின்றன என்பதை கண்டறிவதே இதன் நோக்கம்.
இந்த மாடல் மார்க்கெட்டின் மூன்று முக்கிய நிலைகளை கவனிக்கிறது:
1️⃣ Acceptance / Sideways (கன்சாலிடேஷன்)
2️⃣ Liquidity Location (PDH / PDL / Swing High–Low)
3️⃣ Volatility Release (Breakout with intent)
Sideways நிலையில் இன்ஸ்டிடியூஷன்கள் inventory build செய்கிறார்கள்.
அந்த acceptance முடிந்து, liquidity நோக்கி பிரேக் ஏற்பட்டால் மட்டுமே
Buy / Sell signal கொடுக்கப்படுகிறது.
👉 இது Index Option Buying-க்கு மிகவும் பொருத்தமானது.
🧠 மைய லாஜிக் (எளிய விளக்கம்)
1️⃣ Sideways / Acceptance Phase
விலை ஒரு ரேஞ்சில் சுழலும் போது இந்த பகுதி கண்டறியப்படுகிறது
இது inventory build ஆகும் பகுதி
சார்ட்டில் நீல நிற Box ஆக காட்டப்படும்
2️⃣ Liquidity Context
இந்த இன்டிகேட்டர் கீழ்கண்ட liquidity லெவல்களை கவனிக்கிறது:
Previous Day High (PDH)
Previous Day Low (PDL)
Swing High / Swing Low
இந்த லெவல்கள் தான் இன்ஸ்டிடியூஷன்களின் இலக்கு (destination).
3️⃣ Buy / Sell Signal
Signal வரும் போது:
Sideways box இருக்க வேண்டும்
Box-ஐ உடைத்து CLOSE ஆக வேண்டும்
அந்த பிரேக் liquidity இருக்கும் திசையில் இருக்க வேண்டும்
இதனால்:
தவறான பிரேக்குகள் தவிர்க்கப்படும்
Counter-trend trades குறையும்
🟢 BUY SIGNAL (CALL)
BUY signal வரும் நிலை:
Sideways box உருவாகி இருக்க வேண்டும்
Candle, box high-க்கு மேலே close ஆக வேண்டும்
Liquidity மேலே இருக்க வேண்டும்
PDH மேலே
அல்லது Swing High மேலே
📌 Candle close ஆன பிறகே signal வரும்
👉 No repaint
🔴 SELL SIGNAL (PUT)
SELL signal வரும் நிலை:
Sideways box உருவாகி இருக்க வேண்டும்
Candle, box low-க்கு கீழே close ஆக வேண்டும்
Liquidity கீழே இருக்க வேண்டும்
PDL கீழே
அல்லது Swing Low கீழே
📌 Candle close ஆன பிறகே signal வரும்
👉 No repaint
⏱️ சிறந்த Timeframe
✅ 5-Minute Timeframe – BEST
ஏன் 5-minute சிறந்தது?
Sideways zones தெளிவாக உருவாகும்
Liquidity reaction நல்லதாக இருக்கும்
1-minute போல noise இல்லை
Option buying-க்கு சரியான timing
⚠️ 1-minute – அதிக noise
⚠️ Higher timeframe – entry தாமதம்
🕒 சிறந்த Trading Time
Index (NIFTY / BANKNIFTY):
✅ காலை 9:30 – மதியம் 2:45
❌ 3:10க்கு பிறகு புதிய entry தவிர்க்கவும்
🎯 யாருக்கு இந்த இன்டிகேட்டர்?
✔️ Index Option Buyers
✔️ SMC / Price Action Traders
✔️ Prediction-ஐ விட logic விரும்புபவர்கள்
✔️ Clean entries தேடும் traders
❌ இது என்ன அல்ல?
❌ Scalping indicator அல்ல
❌ Moving Average system அல்ல
❌ Blind signal trading-க்கு அல்ல
👉 இது context-based execution tool.
🎓 கல்வி குறிப்பு
இந்த இன்டிகேட்டர் மார்க்கெட்டை predict செய்யாது.
Inventory build ஆன பிறகு, இன்ஸ்டிடியூஷன்கள் execute செய்யும் இடங்களை
காட்டுவதே இதன் நோக்கம்.
எப்போதும்:
Risk management
Discipline
Market context
கண்டிப்பாக பயன்படுத்த வேண்டும்.
⚠️ மறுப்பு அறிவிப்பு (Disclaimer)
இந்த இன்டிகேட்டர் கல்வி நோக்கத்திற்காக மட்டுமே.
Trading-ல் risk உள்ளது.
ஏதேனும் இழப்புகளுக்கு உருவாக்குநர் பொறுப்பல்ல.
FX OSINT - Institutional Midnight Intelligence For ForexFX OSINT — Institutional Midnight Intelligence For Forex
See Your FX Charts Like an Intelligence Briefing, Not a Guess
If you’ve ever stared at EURUSD or GBPJPY and thought:
Where is the real liquidity?
Is this move sponsored by smart money or just noise?
Am I buying into premium or discount?
…then FX OSINT is designed for you.
FX OSINT (Forex Open Source Intelligence) treats the FX market the way an analyst treats an investigation:
Collect open‑source signals from price, time, and volatility.
Map out liquidity, structure, and sessions in a repeatable way.
Present them in a clean, non‑cluttered dashboard so you can read context quickly.
No rainbow spaghetti. No 12 indicators stacked on top of each other. Just structured information, midnight visuals, and a clear read on what the market is doing right now.
Why FX OSINT Exists
Many FX traders run into the same problems:
Overloaded charts – multiple indicators fighting for space, none talking to each other.
Signals with no context – arrows that ignore structure, sessions, and liquidity.
Tools not tuned for FX – generic indicators that don’t care what pair you are on.
FX OSINT brings this together into one FX‑focused framework that:
Understands structure : BOS/CHOCH, swings, and trend across multiple timeframes.
Respects liquidity : sweeps, order blocks, and FVGs with controlled visibility.
Reads volatility & ADR : how far today’s range has developed.
Knows the clock : London, New York, and key killzones.
Scores confluence : a 0–100 engine that summarizes how much is lining up.
FX OSINT is built for traders who want structured, institutional‑style logic with a disciplined, midnight‑themed UI —not flashing buy/sell buttons.
1. Midnight Dashboard — Top‑Right Intelligence Panel
This panel acts as your compact “situation room”:
CONFLUENCE — 0–100 score blending trend alignment, volatility regime, sessions, liquidity events, order blocks, FVGs, and ADR context.
REGIME — Low / Building / Normal / Expansion / Extreme, driven by ATR relationships, so you know if you’re in chop, trend, or expansion.
HTF / MTF / LTF TREND — Higher‑, medium‑, and current‑timeframe bias in one place, so you see if you are trading with or against the larger flow.
ADR USED — How much of today’s typical range has already been consumed in percentage terms.
PIP VALUE — Approximate pip size per pair, including JPY‑style pairs.
Everything is bold, legible, and color‑coded, but the layout stays minimal so you can:
Look once → understand the context.
2. Structure, BOS, CHOCH — Smart‑Money‑Style Skeleton
FX OSINT tracks swing highs and lows, then shows how structure evolves:
Trend logic based on evolving swings, not just a moving average cross.
BOS (Break of Structure) when price expands in the direction of trend.
CHOCH (Change of Character) when behavior flips and the market structure changes.
Labels are selective, not spammy . You don’t get a tag on every minor wiggle—only when structure meaningfully shifts, so it’s easier to answer:
"Are we continuing the current leg, or did something actually change here?"
3. Liquidity Sweeps, Order Blocks & FVGs — The OSINT Layer
FX OSINT treats liquidity as a key information layer:
Liquidity sweeps — Detects when price spikes through recent highs/lows and then snaps back, flagging potential stop runs.
Order blocks — The last opposite candle before a displacement move, drawn as controlled boxes with limited lifespan to avoid clutter.
Fair Value Gaps (FVGs) — Three‑candle imbalances rendered as precise zones with a cap on how many can exist at once.
Under the hood, boxes are managed so your chart does not become a wall of old zones:
// Draw Order Blocks with overlap prevention
if isBullishOB and showOrderBlocks
if array.size(obBoxes) >= maxBoxes
oldBox = array.shift(obBoxes)
box.delete(oldBox)
newBox = box.new(bar_index , low , bar_index + obvLength, high ,
border_color = bullColor, bgcolor = bullColorTransp,
border_width = 2, extend = extend.none)
array.push(obBoxes, newBox)
Box limits keep the number of zones under control.
Borders and transparency are tuned so you still see price clearly.
You end up with a curated liquidity map , rather than a chart buried under every level price has ever touched.
4. Volatility, ADR & Sessions — Time and Range Intelligence
FX OSINT runs a Volatility Regime Analyzer and an ADR engine in the background:
Volatility regime — Five states (Low → Extreme) derived from fast vs. slow ATR.
ADR bands — Daily high/mid/low projected from the current daily open.
ADR used % — How far today’s move has traveled relative to its typical range.
On the time side:
Asia, London, New York sessions are softly highlighted with a single active background to avoid overlapping colors.
Killzones (e.g., London and New York opens) can be emphasized when you want to focus on where significant moves often begin.
Together, this helps you answer:
"What time is it in the trading day?"
"How stretched are we?"
"Is expansion just starting, or are we late to the move?"
5. ICT‑Style Add‑Ons — BOS/CHOCH, Premium/Discount, and Confluence
For modern FX / ICT‑inspired workflows, FX OSINT includes:
BOS / CHOCH labels — Clear structural shifts based on swings.
Premium / Discount zones — 25%, 50%, 75% levels of the daily range, so you know if you are buying discount in an uptrend or selling premium in a downtrend.
Confluence score — A single number summarizing how many conditions line up in the current context.
Instead of replacing your plan, FX OSINT compresses your checklist into the chart:
Structure
Liquidity
Session / Time
Volatility / ADR
Higher‑timeframe alignment
When these agree, the dashboard reflects it. When they don’t, it stays neutral and lets you see the conflict.
How To Use FX OSINT
FX OSINT is not a signal bot. It is an information engine that organizes context so you can apply your own plan.
A typical workflow might look like:
Start on higher timeframes (e.g., H4/D1) to form directional bias from structure, volatility regime, and ADR context.
Move to intraday timeframes (e.g., M15/H1) around your chosen sessions (London and/or New York).
Look for confluence :
HTF / MTF / LTF trends aligned.
Price in discount for longs or premium for shorts.
Recent liquidity sweep into a meaningful OB or FVG.
Confluence score at or above a level you consider significant.
Then refine entries using BOS/CHOCH on lower timeframes according to your own risk and execution rules.
FX OSINT aims to make sure you do not enter a trade without seeing:
Where you are in the day (ADR and sessions).
Where you are in the volatility cycle (regime).
Who currently appears in control (structure and trend).
Which liquidity was just targeted (sweeps and zones).
Design Choices and Scope
FX OSINT was designed around a few clear constraints:
FX‑focused — Logic and filters tuned for FX majors, minors, exotics, and metals. It is intended for FX markets, not for every possible asset class.
Open‑source — The full Pine Script code is available so you can read it, learn from it, and adapt it to your own workflow if needed.
Clear themes — Two main visual styles (e.g., dark institutional “midnight” and a lighter accent variant) with a focus on readability, not visual noise.
Chart‑friendly — Panels use fixed areas, session highlights avoid overlapping, and boxes are capped/pruned so the chart remains usable.
FX OSINT is for only Forex pairs, not anything else!
Hope you enjoyed and remember your Open Source Intelligence Matters 😉!
-officialjackofalltrades
Institutional Flow Engine (IFE) v1.7 PROInstitutional Flow Engine (IFE) v1.7 PRO — Description
The Institutional Flow Engine (IFE) is an intraday market-flow framework built around liquidity behavior, session timing and structural shifts. Instead of combining public indicators, IFE uses its own unified engine that monitors:
• Accumulation ranges formed during the early session
• Liquidity events when price reaches key levels and rejects
• Structural shifts based on pivot swings
• Momentum confirmation after structural breaks
• Higher-timeframe inefficiency zones (price speed / imbalance areas)
• Session-specific conditions for Core Session and Expansion Session
The objective is to provide a logical roadmap of how price transitions from accumulation → manipulation → expansion during the trading day.
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1. Session Framework
IFE operates using three phases:
1. Asia Accumulation Phase
- Builds the core accumulation range
- Builds an extended reference range used later by the Expansion Session
2. Pre-Core Phase
- Tracks a local intraday range before the main session
- Detects liquidity taps or sweeps of this range
3. Core Session (London)
- Primary signal window where the engine evaluates directional intent
4. Expansion Session (New York)
- Secondary session logic for continuation or reversal during the afternoon
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2. Liquidity Events and Key Levels
IFE identifies multiple types of liquidity behavior:
• Sweeps of the Asia accumulation range
• Sweeps of the extended reference range
• Sweeps of the pre-session intraday range
• Equal-high and equal-low clusters that attract price and later reject
A liquidity event is confirmed when price trades beyond a key level and then returns back into the range.
Users can decide whether:
• Liquidity events are required for signals
• Only the side where liquidity was taken should be traded
• Both sides can be considered
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3. Structural Shifts and Momentum Confirmation
The engine monitors local structure using pivot-based swing points. A directional shift occurs when price closes beyond a previous swing level.
This shift is validated only if accompanied by a momentum candle (a body significantly larger than recent average).
The user can select aggressive, standard, or defensive confirmation modes.
These momentum-based signals are independent from zone-based signals.
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4. Inefficiency / Imbalance Zones (Higher Timeframe Mapping)
IFE maps areas where price moved too quickly (inefficiency zones) on a higher timeframe.
These zones:
• Are detected using multiple gap-based models
• Have a maximum lifetime
• Are invalidated if price fully trades through
• Are visualized with dynamic boxes extended forward
Optional signal conditions allow:
• Tap + rejection within an active zone
• Session window confirmation
• Liquidity-based directional filters
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5. Equilibrium Filters (Optional)
IFE calculates an equilibrium level for each session based on the midpoint of either:
• The Asia accumulation range, or
• The most recent structural swing range
Users can restrict signals so that:
• Shorts only trigger above equilibrium
• Longs only trigger below equilibrium
This helps avoid entries in the inefficient half of the range.
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6. Signal Types
There are two main signal types inside each session:
1. Zone-Based Signals
- Price interacts with an active inefficiency zone
- Liquidity event is confirmed
- Price rejects the zone
- Session window is active
2. Momentum-Based Signals
- A structural shift is confirmed
- A momentum candle supports the move
- Liquidity/equilibrium conditions are met
- Session window is active
Long and short signals are plotted clearly on the chart with directional labels.
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7. Alerts
IFE includes alerts for:
• Zone-based long/short signals
• Momentum-based long/short signals
• Core Session events
• Expansion Session events
Each alert matches the exact visual signal on chart.
--------------------------------------------------------------------
8. Practical Use
IFE is designed for:
• Major indices (NAS100, ES, DAX)
• FX majors
• High-liquidity crypto pairs
Recommended workflow:
1. Observe how the Asia range forms initial liquidity.
2. Watch for liquidity grabs before the main session.
3. Use inefficiency zones as primary interest areas.
4. Use session timing as the main filter.
5. Apply your own risk management alongside the signals.
IFE is a structural mapping tool intended for experienced traders. It does not constitute financial advice.
Major Crypto Relative Strength Portfolio System Majors RSPS - Relative Strength Portfolio System for Major Cryptocurrencies
Overview
Majors RSPS (Relative Strength Portfolio System) is an advanced portfolio allocation indicator that combines relative strength analysis, trend consensus, and macro risk factors to dynamically allocate capital across major cryptocurrency assets. The system leverages the NormalizedIndicators Library to evaluate both absolute trends and relative performance, creating an adaptive portfolio that automatically adjusts exposure based on market conditions.
This indicator is designed for portfolio managers, asset allocators, and systematic traders who want a data-driven approach to cryptocurrency portfolio construction with automatic rebalancing signals.
🎯 Core Concept
What is RSPS?
RSPS (Relative Strength Portfolio System) evaluates each asset on two key dimensions:
Relative Strength: How is the asset performing compared to other major cryptocurrencies?
Absolute Trend: Is the asset itself in a bullish trend?
Assets that show both strong relative performance AND positive absolute trends receive higher allocations. Weak performers are automatically filtered out, with capital reallocated to cash or stronger assets.
Dual-Layer Architecture
Layer 1: Majors Portfolio (Orange Zone)
Evaluates 14 major cryptocurrency assets
Calculates relative strength against all other majors
Applies trend filters to ensure absolute momentum
Dynamically allocates capital based on comparative strength
Layer 2: Cash/Risk Position (Navy Zone)
Evaluates macro risk factors and market conditions
Determines optimal cash allocation
Acts as a risk-off mechanism during adverse conditions
Provides downside protection through dynamic cash holdings
📊 Tracked Assets
Major Cryptocurrencies (14 Assets)
BTC - Bitcoin (Benchmark L1)
ETH - Ethereum (Smart Contract L1)
SOL - Solana (High-Performance L1)
SUI - Sui (Move-Based L1)
TRX - Tron (Payment-Focused L1)
BNB - Binance Coin (Exchange L1)
XRP - Ripple (Payment Network)
FTM - Fantom (DeFi L1)
CELO - Celo (Mobile-First L1)
TAO - Bittensor (AI Network)
HYPE - Hyperliquid (DeFi Exchange)
HBAR - Hedera (Enterprise L1)
ADA - Cardano (Research-Driven L1)
THETA - Theta (Video Network)
🔧 How It Works
Step 1: Relative Strength Calculation
For each asset, the system calculates relative strength by:
RSPS Score = Average of:
- Asset/BTC trend consensus
- Asset/ETH trend consensus
- Asset/SOL trend consensus
- Asset/SUI trend consensus
- ... (all 14 pairs)
- Asset's absolute trend consensus
Key Logic:
Each pair is evaluated using the eth_4d_cal() calibration from NormalizedIndicators
If an asset's absolute trend is extremely weak (≤ 0.1), it receives a penalty score (-0.5)
Otherwise, it gets the average of all its relative strength comparisons
Step 2: Trend Filtering
Assets must pass a trend filter to receive allocation:
Trend Score = Average of:
- Asset/BTC trend (filtered for positivity)
- Asset/ETH trend (filtered for positivity)
- Asset's absolute trend (filtered for positivity)
Only positive values contribute to the trend score, ensuring bearish assets don't receive allocation.
Step 3: Portfolio Allocation
Capital is allocated proportionally based on filtered RSPS scores:
Asset Allocation % = (Asset's Filtered RSPS Score / Sum of All Filtered Scores) × Main Portfolio %
Example:
SOL filtered score: 0.6
BTC filtered score: 0.4
All others: 0
Total: 1.0
SOL receives: (0.6 / 1.0) × Main% = 60% of main portfolio
BTC receives: (0.4 / 1.0) × Main% = 40% of main portfolio
Step 4: Cash/Risk Allocation
The system evaluates macro conditions across 6 factors:
Inverse Major Crypto Trends (40% weight)
When BTC, ETH, SOL, SUI, DOGE, etc. trend down → Cash allocation increases
Evaluates total market cap trends (TOTAL, TOTAL2, OTHERS)
Stablecoin Dominance (10% weight)
USDC dominance vs. major crypto dominances
Higher stablecoin dominance → Higher cash allocation
MVRV Ratios (10% weight)
BTC and ETH Market Value to Realized Value
High MVRV (overvaluation) → Higher cash allocation
BTC/ETH Ratio (15% weight)
Relative performance between two market leaders
Indicates market phase (BTC dominance vs. alt season)
Active Address Ratios (5% weight)
USDC active addresses vs. BTC/ETH active addresses
Network activity comparison
Macro Indicators (15% weight)
Global currency circulation (USD, EUR, CNY, JPY)
Treasury yield curve (10Y-2Y)
High yield spreads
Central bank balance sheets and money supply
Cash Allocation Formula:
Cash % = (Sum of Risk Factors × 0.5) / (Risk Factors + Majors TPI)
When risk factors are elevated, cash allocation increases, reducing exposure to volatile assets.
📈 Visual Components
Orange Zone (Majors Portfolio)
Fill: Light orange area showing aggregate portfolio strength
Line: Average trend power index (TPI) of allocated assets
Baseline: 0 level (neutral)
Interpretation:
Above 0: Bullish allocation environment
Rising: Strengthening portfolio momentum
Falling: Weakening portfolio momentum
Below 0: No allocation (100% cash)
Navy Zone (Cash Position)
Fill: Navy blue area showing cash allocation strength
Line: Risk-adjusted cash allocation signal
Baseline: 0 level
Interpretation:
Higher navy zone: Elevated risk-off signal → More cash
Lower navy zone: Risk-on environment → Less cash
Zero: No cash allocation (100% invested)
Performance Line (Orange/Blue)
Orange: Main portfolio allocation dominant (risk-on mode)
Blue: Cash allocation dominant (risk-off mode)
Tracks: Cumulative portfolio returns with dynamic rebalancing
Allocation Table (Bottom Left)
Shows real-time portfolio composition:
ColumnDescriptionAssetCryptocurrency nameRSPS ValuePercentage allocation (of main portfolio)CashDollar amount (if enabled)
Color Coding:
Orange: Active allocation
Gray: Weak signal (borderline)
Blue: Cash position
Missing: No allocation (filtered out)
⚙️ Settings & Configuration
Required Setup
Chart Symbol
MUST USE: INDEX:BTCUSD or similar major crypto index
Recommended Timeframe: 1D (Daily) or 4D (4-Day)
Why: System needs price data for all 14 majors, BTC provides stable reference
Hide Chart Candles
For clean visualization:
Right-click on chart
Select "Hide Symbol" or set candle opacity to 0
This allows the indicator fills and table to be clearly visible
User Inputs
plot_table (Default: true)
Enable/disable the allocation table
Set to false if you only want the visual zones
use_cash (Default: false)
Enable portfolio dollar value calculations
Shows actual dollar allocations per asset
cash (Default: 100)
Total portfolio size in dollars/currency units
Used when use_cash is enabled
Example: Set to 10000 for a $10,000 portfolio
💡 Interpretation Guide
Entry Signals
Strong Allocation Signal:
✓ Orange zone elevated (> 0.3)
✓ Navy zone low (< 0.2)
✓ Performance line orange
✓ Multiple assets in allocation table
→ Action: Deploy capital to allocated assets per table percentages
Risk-Off Signal:
✓ Orange zone near zero
✓ Navy zone elevated (> 0.4)
✓ Performance line blue
✓ Few or no assets in table (high cash %)
→ Action: Reduce exposure, increase cash holdings
Rebalancing Triggers
Monitor the allocation table for changes:
New assets appearing: Add to portfolio
Assets disappearing: Remove from portfolio
Percentage changes: Rebalance existing positions
Cash % changes: Adjust overall exposure
Market Regime Detection
Risk-On (Bull Market):
Orange zone high and rising
Navy zone minimal
Many assets allocated (8-12)
High individual allocations (15-30% each)
Risk-Off (Bear Market):
Orange zone near zero or negative
Navy zone elevated
Few assets allocated (0-3)
Cash allocation dominant (70-100%)
Transition Phase:
Both zones moderate
Medium number of assets (4-7)
Balanced cash/asset allocation (40-60%)
🎯 Trading Strategies
Strategy 1: Pure RSPS Following
1. Check allocation table daily
2. Rebalance portfolio to match percentages
3. Follow cash allocation strictly
4. Review weekly, act on significant changes (>5%)
Best For: Systematic portfolio managers, passive allocators
Strategy 2: Threshold-Based
Entry Rules:
- Orange zone > 0.4 AND Navy zone < 0.3
- At least 5 assets in allocation table
- Total non-cash allocation > 60%
Exit Rules:
- Orange zone < 0.1 OR Navy zone > 0.5
- Fewer than 3 assets allocated
- Cash allocation > 70%
Best For: Active traders wanting clear rules
Strategy 3: Relative Strength Overlay
1. Use RSPS for broad allocation framework
2. Within allocated assets, overweight top 3 performers
3. Scale position sizes by RSPS score
4. Use individual asset charts for entry/exit timing
Best For: Discretionary traders with portfolio focus
Strategy 4: Risk-Adjusted Position Sizing
For each allocated asset:
Position Size = Base Position × (Asset's RSPS Score / Max RSPS Score) × (1 - Cash Allocation)
Example:
- $10,000 portfolio
- SOL RSPS: 0.6 (highest)
- BTC RSPS: 0.4
- Cash allocation: 30%
SOL Size = $10,000 × (0.6/0.6) × (1-0.30) = $7,000
BTC Size = $10,000 × (0.4/0.6) × (1-0.30) = $4,667
Cash = $10,000 × 0.30 = $3,000
Best For: Risk-conscious allocators
📊 Advanced Usage
Multi-Timeframe Confirmation
Use on multiple timeframes for robust signals:
1D Chart: Tactical allocation (daily rebalancing)
4D Chart: Strategic allocation (weekly review)
Strong Confirmation:
- Both timeframes show same top 3 assets
- Both show similar cash allocation levels
- Orange zones aligned on both
Weak/Conflicting:
- Different top performers
- Diverging cash allocations
→ Wait for alignment or use shorter timeframe
Sector Rotation Analysis
Group assets by type and watch rotation:
L1 Dominance: BTC, ETH, SOL, SUI, ADA high → Layer 1 season
Alt L1s: TRX, FTM, CELO rising → Alternative platform season
Specialized: TAO, THETA, HYPE strong → Niche narrative season
Payment/Stable: XRP, BNB allocation → Risk reduction phase
Divergence Trading
Bullish Divergence:
Navy zone declining (less risk-off)
Orange zone flat or slightly rising
Few assets still allocated but strengthening
→ Early accumulation signal
Bearish Divergence:
Orange zone declining
Navy zone rising
Asset count decreasing in table
→ Distribution/exit signal
Performance Tracking
The performance line (overlay) shows cumulative strategy returns:
Compare to BTC/ETH: Is RSPS outperforming?
Drawdown analysis: How deep are pullbacks?
Correlation: Does it track market or provide diversification?
🔬 Technical Details
Data Sources
Price Data:
COINEX: Primary exchange for alt data
CRYPTO: Alternative price feeds
INDEX: Aggregated index prices (recommended for BTC)
Macro Data:
Dominance metrics (SUI.D, BTC.D, etc.)
MVRV ratios (on-chain valuation)
Active addresses (network activity)
Global money supply and macro indicators
Calculation Methodology
RSPS Scoring:
For each asset, calculate 14 relative trends (vs. all others)
Calculate asset's absolute trend
Average all 15 values
Apply penalty filter for extremely weak trends (≤ 0.1)
Trend Consensus:
Uses eth_4d_cal() from NormalizedIndicators library
Combines 8 normalized indicators per measurement
Returns value from -1 (bearish) to +1 (bullish)
Performance Calculation:
Daily Return = Σ(Asset ROC × Asset Allocation)
Cumulative Performance = Previous Perf × (1 + Daily Return / 100)
Assumes perfect rebalancing and no slippage (theoretical performance).
Filtering Logic
filter() function:
pinescriptfilter(input) => input >= 0 ? input : 0
This zero-floor filter ensures:
Only positive trend values contribute to allocation
Bearish assets receive 0 weight
No short positions or inverse allocations
Anti-Manipulation Safeguards
Null Handling:
All values wrapped in nz() to handle missing data
Prevents calculation errors from data gaps
Normalization:
Allocations always sum to 100%
Prevents over/under-allocation
Conditional Logic:
Assets need positive values on multiple metrics
Single metric cannot drive allocation alone
⚠️ Important Considerations
Required Timeframes
1D (Daily): Recommended for most users
4D (4-Day): More stable, fewer rebalances
Other timeframes: Use at your own discretion, may require recalibration
Data Requirements
Needs INDEX:BTCUSD or equivalent major crypto symbol
All 14 tracked assets must have available data
Macro indicators require specific TradingView data feeds
Rebalancing Frequency
System provides daily allocation updates
Practical rebalancing: Weekly or on significant changes (>10%)
Consider transaction costs and tax implications
Performance Notes
Theoretical returns: No slippage, fees, or execution delays
Backtest carefully: Validate on your specific market conditions
Past performance: Does not guarantee future results
Risk Warnings
⚠️ High Concentration Risk: May allocate heavily to 1-3 assets
⚠️ Volatility: Crypto markets are inherently volatile
⚠️ Liquidity: Some allocated assets may have lower liquidity
⚠️ Correlation: All assets correlated to BTC/ETH to some degree
⚠️ System Risk: Relies on continued availability of data feeds
Not Financial Advice
This indicator is a tool for analysis and research. It does not constitute:
Investment advice
Portfolio management services
Trading recommendations
Guaranteed returns
Always perform your own due diligence and risk assessment.
🎓 Use Cases
For Portfolio Managers
Systematic allocation framework
Objective rebalancing signals
Risk-adjusted exposure management
Performance tracking vs. benchmarks
For Active Traders
Identify strongest assets to focus trading on
Gauge overall market regime (risk-on/off)
Time entry/exit for portfolio shifts
Complement technical analysis with allocation data
For Institutional Allocators
Quantitative portfolio construction
Multi-asset exposure optimization
Drawdown management through cash allocation
Compliance-friendly systematic approach
For Researchers
Study relative strength dynamics in crypto markets
Analyze correlation between majors
Test macro factor impact on crypto allocations
Develop derived strategies and signals
🔧 Setup Checklist
✅ Chart Configuration
Set chart to INDEX:BTCUSD
Set timeframe to 1D or 4D
Hide chart candles for clean visualization
Add indicator from library
✅ Indicator Settings
Enable plot_table (see allocation table)
Set use_cash if tracking dollar amounts
Input your portfolio size in cash parameter
✅ Monitoring Setup
Bookmark chart for daily review
Set alerts for major allocation changes (optional)
Create spreadsheet to track allocations (optional)
Establish rebalancing schedule (weekly recommended)
✅ Validation
Verify all 14 assets appear in table (when allocated)
Check that percentages sum to ~100%
Confirm performance line is tracking
Test cash allocation calculation if enabled
📋 Quick Reference
Signal Interpretation
ConditionOrange ZoneNavy ZoneActionStrong BullHigh (>0.4)Low (<0.2)Full allocationModerate BullMid (0.2-0.4)Low-MidStandard allocationNeutralLow (0.1-0.2)Mid (0.3-0.4)Balanced allocationModerate BearVery Low (<0.1)Mid-HighReduce exposureStrong BearZero/NegativeHigh (>0.5)High cash/exit
Rebalancing Thresholds
Change TypeThresholdActionIndividual asset±5%Consider rebalanceIndividual asset±10%Strongly rebalanceCash allocation±10%Adjust exposureAsset entry/exitAnyAdd/remove position
Color Legend
Orange: Main portfolio strength/allocation
Navy: Cash/risk-off allocation
Blue text: Cash position in table
Orange text: Active asset allocation
Gray text: Weak/borderline allocation
White: Headers and labels
🚀 Getting Started
Beginner Path
Add indicator to INDEX:BTCUSD daily chart
Hide candles for clarity
Enable plot_table to see allocations
Check table daily, note top 3-5 assets
Start with small allocation, observe behavior
Gradually increase allocation as you gain confidence
Intermediate Path
Set up on both 1D and 4D charts
Enable use_cash with your portfolio size
Create tracking spreadsheet
Implement weekly rebalancing schedule
Monitor divergences between timeframes
Compare performance to buy-and-hold BTC
Advanced Path
Modify code to add/remove tracked assets
Adjust relative strength calculation methodology
Customize cash allocation factors and weights
Integrate with portfolio management platform
Develop algorithmic rebalancing system
Create alerts for specific allocation conditions
📖 Additional Resources
Related Indicators
NormalizedIndicators Library: Core calculation engine
Individual asset trend indicators for deeper analysis
Macro indicator dashboards for cash allocation factors
Complementary Analysis
On-chain metrics (MVRV, active addresses, etc.)
Order book liquidity for execution planning
Correlation matrices for diversification analysis
Volatility indicators for position sizing
Learning Materials
Study relative strength portfolio theory
Research tactical asset allocation strategies
Understand crypto market cycles and phases
Learn about risk management in volatile assets
🎯 Key Takeaways
✅ Systematic allocation across 14 major cryptocurrencies
✅ Dual-layer approach: Asset selection + Cash management
✅ Relative strength focused: Invests in comparatively strong assets
✅ Trend filtering: Only allocates to assets in positive trends
✅ Dynamic rebalancing: Automatically adjusts to market conditions
✅ Risk-managed: Increases cash during adverse conditions
✅ Transparent methodology: Clear calculation logic
✅ Practical visualization: Easy-to-read table and zones
✅ Performance tracking: See cumulative strategy returns
✅ Highly customizable: Adjust assets, weights, and factors
📋 License
This code is subject to the Mozilla Public License 2.0 at mozilla.org
Majors RSPS transforms complex multi-asset portfolio management into a systematic, data-driven process. By combining relative strength analysis with trend consensus and macro risk factors, it provides traders and portfolio managers with a robust framework for navigating cryptocurrency markets with discipline and objectivity.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
