Statistical FootprintStatistical Footprint - Behavioral Support & Resistance
This indicator identifies key price levels based on actual market behavior rather than traditional pivot calculations. It analyzes how bulls and bears have historically moved price from session opens, creating statistical zones where future reactions are most likely.
The concept is simple: track how far bullish candles typically push above the open versus how far bearish candles drop below it. These patterns reveal the market's behavioral "footprint" - showing where momentum typically stalls and reverses.
Key Features:
- Separate analysis for daily and weekly timeframes
- Smart zone merging when levels cluster together (within 5 points)
- Uses both mean and median calculations for more robust levels
- XGBoost-optimized lookback periods for maximum statistical significance
- Clean zone-only display focused on actionable price areas
How it Works:
The code separates bullish and bearish sessions, measuring their typical range extensions from the open. It then projects these statistical ranges forward from current session opens, creating "behavioral zones" where the market has historically shown consistent reactions.
When daily and weekly levels align closely, they merge into combined zones with enhanced significance. Labels show both the mean and median values when they differ meaningfully.
Best Used For:
- Identifying high-probability reversal zones
- Setting profit targets based on historical behavior
- Understanding market sentiment shifts at key levels
- Confluence analysis between different timeframes
The lookback periods have been optimized using machine learning to find the most predictive historical sample sizes for current market conditions.
Educational
Prev RTH FibsThis study captures the previous day’s Regular Trading Hours (RTH) range (default 09:30–16:00 America/New_York), then projects it onto the current session. It draws HIGH, LOW, and an optional 50% midpoint, plus a configurable set of inside fib-style percentages measured from the HIGH downward. Every level extends a short distance to the right of the current price and shows a clean numeric label (no box) on the right edge.
Key features
Prev-day RTH range tracked automatically; plotted each new session.
Inside levels (from HIGH ↓): 11%, 25%, 29.5%, 38.2%, 45%, 55%, 62% (OTE), 70.5%, 75%, 78.6%, 85% (toggle any on/off).
Clean right-side labels: numbers only, resizable (Tiny → Huge) with transparent background.
Line styling: HIGH/LOW and 50% are solid; inside levels can be Solid/Dashed/Dotted with independent color/width.
Smart right padding: lines/labels extend a few bars past the latest candle, so annotations stay beside price without violating TradingView’s “>500 bars in future” rule.
Works on any symbol/timeframe; RTH window and timezone are adjustable.
Inputs you control
Session: RTH session string and timezone.
Right-side padding (bars) and number size.
Visibility & style for HIGH, LOW, and 50%.
Which inside levels to show, plus their style/color/width.
Goldbach Time Indicator🔧 Key Fixes Applied:
1. Time Validation & Bounds Checking:
Hour/Minute Bounds: Ensures hours stay 0-23, minutes stay 0-59
Edge Case Handling: Prevents invalid time calculations from causing missing data
UTC Conversion Safety: Better handling of timezone edge cases
2. Enhanced Value Validation:
NA Checking: Validates all calculated values before using them
Goldbach Detection: Only flags valid, non-NA values as Goldbach hits
Plot Safety: Prevents plotting invalid or NA values that could cause gaps
3. Improved Plot Logic:
Core Level Colors: Blue for core levels (29,35,71,77), yellow/lime/orange for regular hits
Debug Mode Enhanced: Shows all calculations with gray dots when enabled
Better Filtering: Only plots positive, valid values for minus calculations
4. Background vs Dots Issue:
The large green/blue background you see suggests the indicator is detecting Goldbach times correctly, but the dots weren't plotting due to validation issues. This should now be fixed.
Balanced Big Wicks (50/50) HighlighterDetects candles with unusually long, balanced upper and lower wicks—a potential sign of market indecision followed by strong breakout action.
What It Does
Identifies candles where both upper and lower wicks each account for at least a configurable percentage (e.g., 30–40%) of the total range, and where the body remains small—creating the classic “balanced wick” (50/50) appearance.
Marks these candles visually with color (bullish/bearish), optional background shading, and a tiny “50/50” label above the candle.
Why It’s Useful
Balanced wicks often precede decisive moves once price breaks either wick. This script highlights such opportunities systematically.
Helpful for traders looking for clean entry signals: long on close above the upper wick, short on close below the lower wick—with straightforward risk management (SL at opposite wick, TP 1:1).
Key Inputs (default values shown in parentheses)
Min wick % (each side): 30%
Max body %: 20%
Equality tolerance: 10%
Min range filter (ATR multiples): 0 (disable)
ATR length: 14
Color candles: On
Background highlight: Off by default
Plot label on candle: On
Adjust these to fit your preferred timeframe or instrument (e.g., raise wick thresholds or ATR filter for noisy 15‑minute altcoin charts; relax slightly for smoother 1‑hour BTC analysis).
Alerts
Three alert options included:
“50/50 Wick (Any)” — triggers on any balanced-wick candle.
“50/50 Wick (Bullish)” — only when the candle closes bullish (upper close).
“50/50 Wick (Bearish)” — only when the candle closes bearish (lower close).
How to Use It
Add the indicator to your chart.
Adjust input settings to suit the timeframe or trading style.
Watch for highlighted candles.
Optional alert: create alerts using one of the provided alert conditions (e.g., “50/50 Wick (Any)”) with “Once per bar close” to get notified when signal bars appear.
Use your own trade logic (e.g., breakout entries as described above).
Disclaimer & Originality
Original Concept: I built this script from scratch to highlight a specific candle structure often used by traders in breakout setups—long balanced wicks with small bodies.
No external code references; it’s entirely open-source and self-explanatory.
Note: This indicator highlights potential setups—not financial advice. Always backtest any strategy, and use sound risk management. Past patterns do not guarantee future success.
Optimized Settings for 5m–15m Scalping
Min wick % (each side): 0.30
→ Forces both wicks to be almost half the candle each. Very strict.
Max body % of range: 0.40
→ Candle body must be ≤10% of full range = almost a doji.
Equality tolerance: 0.1
→ Wicks must be within 5% of each other relative to full candle size.
Min range filter (ATR multiples): 0
→ Candle must be at least 1.2× bigger than recent average (ATR14). Filters out weak fake dojis.
ATR Length: 14 (standard, stable)
Color candles / Plot labels: On (so you clearly see them)
Background highlight: Optional
Crypto Flows [ETF|On-chain]The surge in Bitcoin and Ethereum spot ETFs has transformed how crypto is held and traded. By mid‑2025, U.S. spot Bitcoin ETFs already controlled roughly 1.28 million BTC, or about 6.5 percent of the circulating supply (Fosque, 2025). This accumulation has coincided with sharp price rallies and signals that regulated vehicles are absorbing a meaningful share of supply (Fosque, 2025; Wright, 2025). At the same time, on‑chain analytics show that exchange flows still influence markets: large inflows to exchanges often precede sell‑offs, whereas withdrawals to private wallets signal accumulation and reduced sell pressure (Singh, 2024; CryptoQuant, 2024). IntoTheBlock’s large‑holder inflow indicator even notes that spikes in whale buying frequently mark major bottoms (IntoTheBlock, 2022). I wanted to weave these pieces together, so I created this indicator.
Essence and logic
The script draws from two data streams: net flows into ETFs and net on‑chain flows from large holders, both scaled by the asset’s circulating market cap. ETF flows are aggregated across the ten largest INDEX:BTCUSD Bitcoin ETFs, the ten largest Ethereum INDEX:ETHUSD ETFs and the first CRYPTOCAP:SOL Solana ETF; each fund has its own checkbox and colour selection. On‑chain data uses IntoTheBlock’s large‑holder inflows and outflows, with dozens of coins available( CRYPTO:XRPUSD CRYPTOCAP:AVAX CRYPTOCAP:ADA CRYPTOCAP:LINK CRYPTO:DOGEUSD CRYPTOCAP:OTHERS ; if your coin isn’t shown in the dropdown you can manually enter its symbol. For each component, daily flows are converted into either a Z‑score or, by default, a percent‑of‑market‑cap series; users choose the weighting between ETF and on‑chain signals. These weighted series are summed into a composite, smoothed, and then two moving averages (a fast and a slow one) are applied to define bullish or bearish regimes. Because ETFs are a recent phenomenon, the early part of the composite is dominated by on‑chain flows; as ETF history lengthens, the fund‑flow component will become more influential. Trade signals are generated via moving‑average crossovers and optional dip triggers, and a trend table summarises current values and directions.
Why these components?
ETF flows reflect institutional adoption and supply absorption. Funds such as IBIT already hold about 744 000 BTC (roughly 3.3 percent of total supply), and cumulative ETF holdings have been growing faster than new coins are mined (Wright, 2025). Net inflows into these vehicles have tended to accompany rising prices and signal long‑horizon capital (Fosque, 2025). On‑chain flows, meanwhile, capture exchange liquidity dynamics. High inflows to exchanges often indicate that investors are preparing to sell, increasing tradable supply (Singh, 2024; CryptoQuant, 2024). Outflows into self‑custody suggest accumulation and reduced sell pressure, providing a bullish signal (Singh, 2024; CryptoQuant, 2024). IntoTheBlock points out that spikes in large‑holder inflows—whales moving coins into cold storage—have historically preceded price bottoms (IntoTheBlock, 2022). By weighting and standardising these flows relative to market cap, the composite aims to offer a more objective lens on risk‑on versus risk‑off regimes than price alone.
Limitations and outlook
ETFs a pretty new, so the data history is short. The list of tracked funds is currently limited to U.S. and European products; adding Asian or Canadian vehicles could provide a fuller picture. On‑chain flows can be noisy and occasionally give conflicting signals, and large‑holder data is not available for every crypto asset. The ETF and on‑chain components are also correlated through market cap, so equal weighting may amplify common trends. As macro conditions evolve and ETF redemption mechanisms change, the usefulness of fund flows could vary. I see this indicator as one tool among many, and I’m considering adding stablecoin flows, derivatives funding rates, or halving‑cycle adjustments. Suggestions are welcome.
Personal note
I’m a student who enjoys exploring the intersection of macro flows, on‑chain analytics and market psychology. This script is free to use. You can enable or disable each component, adjust weights, change the display mode and lookback, and select individual ETF tickers. If it brings you value, feel free to follow my work or reach out with feedback. I appreciate your support. Please remember that this indicator is for educational purposes and not investment advice. I built this indicator in addition to my Liquidity indicator, where I use Global M2, the yield curve, and the high-yield spread to define risk-on/risk-off regimes. If you are interested, you can find it here:
References
CryptoQuant Team. (2024). Exchange in/outflow and netflow user guide.
Fosque, J. (2025). Bitcoin ETFs pull $17.8 billion in 90 days as price surges past $118 K. The Digital Chamber.
IntoTheBlock. (2022). Large holders inflow indicator description.
Singh, O. (2024). Crypto exchange inflows and outflows explained: What they reveal about market trends. CCN.
Wright, L. (2025). Bitcoin ETFs to lock up 1.5 million BTC by New Year as supply squeeze tightens grip. CryptoSlate.
Major & Modern Wars TimelineDescription:
This indicator overlays vertical lines and labels on your chart to mark the start and end dates of major global wars and modern conflicts.
Features:
Displays start (red line + label) and end (green line + label) for each war.
Covers 20th century wars (World War I, World War II, Korean War, Vietnam War, Gulf War, Afghanistan, Iraq).
Includes modern conflicts: Syrian Civil War, Ukraine War, and Israel–Hamas War.
For ongoing conflicts, the end date is set to 2025 for timeline visualization.
Customizable: label position (above/below bar), line width.
Works on any chart timeframe, overlaying events on financial data.
Use case:
Useful for historical market analysis (e.g., gold, oil, S&P 500), helping traders and researchers see how wars and conflicts align with market movements.
Daily Start Vertical Lines (≤1H)This indicator automatically plots vertical lines at the start of each new trading day, based on the selected chart’s timezone. Unlike the default daily session boundaries (which often start at 17:00 New York time), this tool ensures that lines are drawn precisely at 00:00 midnight of the chart’s timezone.
🔹 Features:
Plots a vertical line at every new day start (midnight).
Fully time-zone aware → lines adjust automatically when you change the chart’s timezone.
Customizable line style, width, and color.
Option to limit plotting to specific timeframes (e.g., show only on ≤ 1H charts).
Lightweight & optimized (does not clutter higher-timeframe charts).
🔹 Use Cases:
Quickly identify daily boundaries for intraday analysis.
Helps scalpers and day traders align trades with new day opens.
Useful for strategies that depend on daily session resets.
This tool is especially helpful for traders who want clarity when working across different time zones.
Candle ShapeCandle Shape
This indicator visualizes rolling candles that aggregate price action over a chosen lookback period, allowing you to see how OHLC dynamics evolve in real time.
Instead of waiting for a higher timeframe (HTF) bar to close, you can track its development directly from a lower timeframe chart.
For example, view how a 1-hour candle is forming on a 1-minute chart — complete with rolling open, high, low, and close levels, as well as colored body and wick areas.
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🔹 How it works
- Lookback Period (n) → sets the bucket size, defining how many bars are merged into a “meta-candle.”
- The script continuously updates the meta-open, meta-high, meta-low, and meta-close.
- Body and wick areas are filled with color , making bullish/bearish transitions easy to follow.
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🔹 Use cases
- Monitor the intra-development of higher timeframe candles.
- Analyze rolling OHLC structures to understand how price dynamics shift across different aggregation windows.
- Explore unique perspectives for strategy confirmation, breakout anticipation, and market structure analysis.
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✨ Candle Shape bridges the gap between timeframes and uncovers new layers of price interaction.
VWAP Price ChannelVWAP Price Channel cuts the crust off of a traditional price channel (Donchian Channel) by anchoring VWAPs at the highs and lows. By doing this, the flat levels, characteristic of traditional Donchian Channels, are no more!
Author's Note: This indicator is formed with no inherent use, and serves solely as a thought experiment.
> Concept
I would be hesitant to call this a "predictive" indicator, however the behavior of it would suggest it could be considered at least partially predictive
Essentially, the Anchored VWAPs creates something from otherwise nothing.
While the DC upper or lower values are staying flat, the VWAPs improvise based on price and volume to project a level that may be a better representation of where future highs or lows may settle.
Visually, this looks like we have cut off the corners of the Donchian Channel.
Note: Notice how we are calculating values before the corners are realized.
> Implementation
While this is only a concept indicator, The specific application I've gone with for this, is a sort of supertrend-ish display (A Trend Flipping Trailing Stop Loss).
The script uses basic logic to create a trend direction, and then displays the Anchored VWAPs as a form of trailing stop loss.
While "In Trend", the script fills in the area between the VWAP and Price in the direction of trend.
When new highs or lows are made while in trend, the opposite VWAP will start to generate at the new highs or lows. These happen on every new high or low, so they are not indicating the trend shift, but could be interpreted as breakout levels for the current trend direction in order for continuation.
Note: All values are drawn live, but when using higher timeframes, there is a natural calculation discrepancy when using live data vs. historical.
> Technicals
In this script, I'm simply detecting new highs or lows from the DC and using those as the anchor frequency on the built-in VWAP function.
So each time a new high or low is made based on DC, the VWAP function re-anchors to the high or low of the candle.
Past that, I have implemented some logic in order to account for a common occurrence I faced during development.
Frequently, the price would outpace the anchored VWAP, so we would end up with the VWAP being further from price than the actual DC upper or lower.
Due to this, what I have ended up with was a third value which, rather than switching between raw VWAP values and DC values, it adjusts the value based on the change in the VWAP value.
This can be simply thought of as a "Start + Change" type of setup.
By doing this, I can use the change values from the actual anchored VWAP, and under normal conditions, this will also be the true VWAP value.
However, situationally, I am able to update the start value which we're applying the VWAP change to.
In other words, when these situations happen, the VWAP change is added to the new (closer to price) DC value.
The specific trend logic being used is nothing fancy at all, we are simply checking if a new high or low is created and setting the trend in that direction.
This is in line with some traditional DC Strategies.
To those who made it here,
Just remember:
The chart may be ugly, but it's the fastest analysis of the data you can get.
Nicer displays often come at the hidden cost of latency.
You have to shoot your shot to make it.
Choose 2: Fast, Clean, Useful
Enjoy!
Market Cap Landscape 3DHello, traders and creators! 👋
Market Cap Landscape 3D. This project is more than just a typical technical analysis tool; it's an exploration into what's possible when code meets artistry on the financial charts. It's a demonstration of how we can transcend flat, two-dimensional lines and step into a vibrant, three-dimensional world of data.
This project continues a journey that began with a previous 3D experiment, the T-Virus Sentiment, which you can explore here:
The Market Cap Landscape 3D builds on that foundation, visualizing market data—particularly crypto market caps—as a dynamic 3D mountain range. The entire landscape is procedurally generated and rendered in real-time using the powerful drawing capabilities of polyline.new() and line.new() , pushed to their creative limits.
This work is intended as a guide and a design example for all developers, born from the spirit of learning and a deep love for understanding the Pine Script™ language.
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🧐 Core Concept: How It Works
The indicator synthesizes multiple layers of information into a single, cohesive 3D scene:
The Surface: The mountain range itself is a procedurally generated 3D mesh. Its peaks and valleys create a rich, textured landscape that serves as the canvas for our data.
Crypto Data Integration: The core feature is its ability to fetch market cap data for a list of cryptocurrencies you provide. It then sorts them in descending order and strategically places them onto the 3D surface.
The Summit: The highest point on the mountain is reserved for the asset with the #1 market cap in your list, visually represented by a flag and a custom emblem.
The Mountain Labels: The other assets are distributed across the mountainside, with their rank determining their general elevation. This creates an intuitive visual hierarchy.
The Leaderboard Pole: For clarity, a dedicated pole in the back-right corner provides a clean, ranked list of the symbols and their market caps, ensuring the data is always easy to read.
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🧐 Example of adjusting the view
To evoke the feeling of flying over mountains
To evoke the feeling of looking at a mountain peak on a low plain
🧐 Example of predefined colors
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🚀 How to Use
Getting started with the Market Cap Landscape 3D:
Add to Chart: Apply the "Market Cap Landscape 3D" indicator to your active chart.
Open Settings: Double-click anywhere on the 3D landscape or click the "Settings" icon next to the indicator's name.
Customize Your Crypto List: The most important setting is in the Crypto Data tab. In the "Symbols" text area, enter a comma-separated list of the crypto tickers you want to visualize (e.g., BTC,ETH,SOL,XRP ). The indicator supports up to 40 unique symbols.
> Important Note: This indicator exclusively uses TradingView's `CRYPTOCAP` data source. To find valid symbols, use the main symbol search bar on your chart. Type `CRYPTOCAP:` (including the colon) and you will see a list of available options. For example, typing `CRYPTOCAP:BTC` will confirm that `BTC` is a valid ticker for the indicator's settings. Using symbols that do not exist in the `CRYPTOCAP` index will result in a script error. or, to display other symbols, simply type CRYPTOCAP: (including the colon) and you will see a list of available options.
Adjust Your View: Use the settings in the Camera & Projection tab to rotate ( Yaw ), tilt ( Pitch ), and scale the landscape until you find a view you love.
Explore & Customize: Play with the color palettes, flag design, and other settings to make the landscape truly your own!
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⚙️ Settings & Customization
This indicator is highly customizable. Here’s a breakdown of what each setting does:
#### 🪙 Crypto Data
Symbols: Enter the crypto tickers you want to track, separated by commas. The script automatically handles duplicates and case-insensitivity.
Show Market Cap on Mountain: When checked, it displays the full market cap value next to the symbol on the mountain. When unchecked, it shows a cleaner look with just the symbol and a colored circle background.
#### 📷 Camera & Projection
Yaw (°): Rotates the camera view horizontally (side to side).
Pitch (°): Tilts the camera view vertically (up and down).
Scale X, Y, Z: Stretches or compresses the landscape in width, depth, and height, respectively. Fine-tune these to get the perfect perspective.
#### 🏞️ Grid / Surface
Grid X/Y resolution: Controls the detail level of the 3D mesh. Higher values create a smoother surface but may use more resources.
Fill surface strips: Toggles the beautiful color gradient on the surface.
Show wireframe lines: Toggles the visibility of the grid lines.
Show nodes (markers): Toggles the small dots at each grid intersection point.
#### 🏔️ Peaks / Mountains
Fill peaks volume: Draws vertical lines on high peaks, giving them a sense of volume.
Fill peaks surface: Draws a cross-hatch pattern on the surface of high peaks.
Peak height threshold: Defines the minimum height for a peak to receive the fill effect.
Peak fill color/density: Customizes the appearance of the fill lines.
#### 🚩 Flags (3D)
Show Flag on Summit: A master switch to show or hide the flag and emblem entirely.
Flag height, width, etc.: Provides full control over the dimensions and orientation of the flag on the highest peak.
#### 🎨 Color Palette
Base Gradient Palette: Choose from 13 stunning, pre-designed color themes for the landscape, from the classic SUNSET_WAVE to vibrant themes like NEON_DREAM and OCEANIC .
#### 🛡️ Emblem / Badge Controls
This section gives you granular control over every element of the custom emblem on the flag. Tweak rotation, offsets, and scale to design your unique logo.
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👨💻 Developer's Corner: Modifying the Core Logic
If you're a developer and wish to customize the indicator's core data source, this section is for you. The script is designed to be modular, making it easy to change what data is being ranked and visualized.
The heart of the data retrieval and ranking logic is within the f_getSortedCryptoData() function. Here’s how you can modify it:
1. Changing the Data Source (from Market Cap to something else):
The current logic uses request.security("CRYPTOCAP:" + syms.get(i), ...) to fetch market capitalization data. To change this, you need to modify this line.
Example: Ranking by RSI (14) on the Daily timeframe.
First, you'll need a function to calculate RSI. Add this function to the script:
f_getRSI(symbol, timeframe, length) =>
request.security(symbol, timeframe, ta.rsi(close, length))
Then, inside f_getSortedCryptoData() , find the `for` loop that populates the `caps` array and replace the `request.security` call:
// OLD LINE:
// caps.set(i, request.security("CRYPTOCAP:" + syms.get(i), timeframe.period, close))
// NEW LINE for RSI:
// Note: You'll need to decide how to format the symbol name (e.g., "BINANCE:" + syms.get(i) + "USDT")
caps.set(i, f_getRSI("BINANCE:" + syms.get(i) + "USDT", "D", 14))
2. Changing the Data Formatting:
The ranking values are formatted for display using the f_fmtCap() function, which currently formats large numbers into "M" (millions), "B" (billions), etc.
If you change the data source to something like RSI, you'll want to change the formatting. You can modify f_fmtCap() or create a new formatting function.
Example: Formatting for RSI.
// Modify f_fmtCap or create f_fmtRSI
f_fmtRSI(float v) =>
str.tostring(v, "#.##") // Simply format to two decimal places
Remember to update the calls to this function in the main drawing loop where the labels are created (e.g., str.format("{0}: {1}", crypto.symbol, f_fmtCap(crypto.cap)) ).
By modifying these key functions ( f_getSortedCryptoData and f_fmtCap ), you can adapt the Market Cap Landscape 3D to visualize and rank almost any dataset you can imagine, from technical indicators to fundamental data.
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We hope you enjoy using the Market Cap Landscape 3D as much as we enjoyed creating it. Happy charting! ✨
Sunmool's Silver Bullet Model FinderICT Silver Bullet Model Indicator - Complete Guide
📈 Overview
The ICT Silver Bullet Model indicator is a supplementary tool for utilizing ICT's (Inner Circle Trader) market structure analysis techniques. This indicator detects institutional liquidity hunting patterns and automatically identifies structural levels, helping traders analyze market structure more effectively.
🎯 Core Features
1. Structural Level Identification
STL (Short Term Low): Recent support levels formed in the short term
STH (Short Term High): Recent resistance levels formed in the short term
ITL (Intermediate Term Low): Stronger support levels with more significance
ITH (Intermediate Term High): Stronger resistance levels with more significance
2. Kill Zone Time Display
London Kill Zone: 02:00-05:00 (default)
New York Kill Zone: 08:30-11:00 (default)
These are the most active trading hours for institutional players where significant price movements occur
3. Smart Sweep Detection
Bear Sweep (🔻): Pattern where price sweeps below lows then recovers - Simply indicates sweep occurrence
Bull Sweep (🔺): Pattern where price sweeps above highs then declines - Simply indicates sweep occurrence
Important: Sweep labels only mark liquidity hunting locations, not directional bias.
🔧 Configuration Parameters
Basic Settings
Sweep Detection Lookback: Number of candles for sweep detection (default: 20)
Structure Point Lookback: Number of candles for structural point detection (default: 10)
Sweep Threshold: Percentage threshold for sweep validation (default: 0.1%)
Time Settings
London Kill Zone: Active hours for London session
New York Kill Zone: Active hours for New York session
Visualization Settings
Customizable colors for each level type
Enable/disable alert notifications
📊 How to Use
1. Chart Setup
Most effective on 1-minute to 1-hour timeframes
Recommended for major currency pairs (EUR/USD, GBP/USD, etc.)
Also applicable to cryptocurrencies and indices
2. Signal Interpretation
🔻 Bear Sweep / 🔺 Bull Sweep Labels
Simply indicate liquidity hunting occurrence points
Not directional bias indicators
Reference for understanding overall context on HTF
🟢 Silver Bullet Long (Huge Green Triangle)
After Bear Sweep occurrence
Within Kill Zone timeframe
Current price positioned above swept level
→ Actual BUY entry signal
🔴 Silver Bullet Short (Huge Red Triangle)
After Bull Sweep occurrence
Within Kill Zone timeframe
Current price positioned below swept level
→ Actual SELL entry signal
3. Risk Management
Use swept levels as stop-loss reference points
Approach signals outside Kill Zone hours with caution
Recommended to use alongside other technical analysis tools
💡 Trading Strategies
Silver Bullet Strategy
Preparation Phase: Monitor charts 30 minutes before Kill Zone
Sweep Observation: Identify liquidity hunting points with 🔻🔺 labels (reference only)
Entry: Enter ONLY when huge triangle Silver Bullet signal appears within Kill Zone
Take Profit: Target opposite structural level or 1:2 reward ratio
Stop Loss: Beyond the swept level
Important: Small sweep labels are NOT trading signals!
Multi-Timeframe Approach
Step 1: HTF (Higher Time Frame) Sweep Reference
Observe 🔻🔺 sweep labels on 4-hour and daily charts
Reference only sweeps occurring at major structural levels
HTF sweeps are used to identify liquidity hunting points
Reference only, not for directional bias
Step 2: Transition to LTF (Lower Time Frame)
Move to 15-minute, 5-minute, and 1-minute charts
Analyze LTF with reference to HTF sweep information
Use STL, STH, ITL, ITH for precise entry point identification
Structural levels on LTF are the core of actual trading decisions
Only huge triangle (Silver Bullet) signals are actual entry signals
Recommended Usage
Identify overall sweep occurrence points on HTF (🔻🔺 labels)
Use this indicator on LTF to identify structural levels
Reference only huge triangle signals for actual trading during Kill Zone
Small sweep labels (🔻🔺) are for reference only, not entry signals
📋 Information Table Interpretation
Real-time information in the top-right table:
Kill Zone Status: Current active session status
Level Counts: Number of each structural level type
⚠️ Important Disclaimers
Backtesting results do not guarantee future performance
Exercise caution during high market volatility periods
Always apply proper risk management
Recommend comprehensive analysis with other analytical tools
🎓 Learning Resources
Study original ICT concepts through free YouTube educational content
Research Market Structure analysis techniques
Optimize through backtesting for personal use
🔬 Technical Implementation
Algorithm Logic
Pivot Point Detection: Uses TradingView's built-in pivot functions to identify swing highs and lows
Classification System: Automatically categorizes levels based on recent price action frequency
Sweep Validation: Confirms legitimate sweeps through price action analysis
Time-Based Filtering: Prioritizes signals during institutional active hours
Performance Optimization
Efficient array management prevents memory overflow
Dynamic level cleanup maintains chart clarity
Real-time calculation ensures minimal lag
🛠️ Customization Tips
Adjust lookback periods based on market volatility
Modify kill zone times for different market sessions
Experiment with sweep threshold for different instruments
Color-code levels according to personal preference
📈 Expected Outcomes
When properly implemented, this indicator can help traders:
Identify high-probability reversal points
Time entries with institutional flow
Reduce false signals through kill zone filtering
Improve risk-to-reward ratios
This indicator automates ICT's concepts into a user-friendly tool that can be enhanced through continuous learning and practical application. Success depends on understanding the underlying market structure principles and combining them with proper risk management techniques.
PDH/PDL Breakout—Anchored Ghost Targets + (Truth Table)What this does (integrated purpose—not a mashup):
This tool implements a “prove-it” breakout framework around prior-day levels. It (1) anchors Previous Day High/Low (PDH/PDL) to RTH, (2) reveals anchored ghost targets only after price proves itself beyond PDH/PDL, and (3) confirms direction using a 3-consecutive-closes rule. A compact Truth Table summarizes regime: Control Line, PDH/PDL position, and a microstructure-based composite trend score. Everything is designed to work together to filter fake breaks and provide objective upside/downside targets.
How it works (math/logic in plain English):
Prior-day levels (no repaint):
Pulls High, Low, Close of the previous day and extends PDH/PDL through today’s RTH session. (Daily values are read from the prior bar so signals don’t look ahead.)
Session scoping:
RTH is 09:30–16:00 ET. The script resets at 09:30, pre-creates all lines to the 16:00 session end, and confines triggers to RTH context.
Ghost target packs (original piece):
Compute classic pivot set from prior day:
P = (H+L+C) / 3, R1 = 2P − L, S1 = 2P−H
Create one full range-shift above and below the prior day:
range=H−L.
Add Fib overlays (0.382) around P/R1/S1 to form the pack.
Anchoring rule: packs are shifted so the upper pack never dips below PDH and the lower pack never rises above PDL. This prevents visual crossing with PDH/PDL and keeps targets clean after a confirmed break. Packs stay hidden until price proves itself (see next point).
Directional “prove-it” trigger:
You only get a signal after an actual cross of PDH/PDL followed by N consecutive RTH closes beyond that level (default 3; user input).
• Long: crossover above PDH → then 3 closes > PDH → one-bar pulse + optional alert.
• Short: crossunder below PDL → then 3 closes < PDL → one-bar pulse + optional alert.
After the first qualified trigger each session, bars beyond the level get a subtle Neo candle style so breakouts are visually distinct.
Truth Table (integration, not decoration):
Control Line = a smoothed multi-EMA control band (we expose a single “control line” derived from it),
PDH/PDL position (above, below, or inside),
Composite Trend = non-lag microstructure score combining: close-location value, thrust, wick imbalance, range-expansion direction, and HH/HL vs LL/LH structure (all summed over a short causal window).
Header colors use majority vote across those three rows so you see regime at a glance. This is used to interpret breaks and avoid chasing noise.
How to use it (practical workflow):
On equities during RTH, watch PDH/PDL.
When a break occurs, wait for the 3-close confirmation—that’s your “prove-it” trigger.
Upon trigger, the corresponding ghost pack becomes visible and provides objective intraday targets (pack lines + dashed Fib lines).
Use the Truth Table to sanity-check regime (e.g., bullish majority + PDH break = higher-confidence continuation).
Inputs & alerts:
Consecutive closes required (default 3).
Show Truth Table (on/off).
EMA ribbon/control line (on/off).
Alerts: “Bullish Trigger” and “Bearish Trigger” fire on the one-bar pulses right when confirmation completes.
Notes & limitations:
Designed for stocks using 09:30–16:00 ET. On 24/7 markets (e.g., crypto) RTH logic isn’t applicable.
Prior-day values are fixed from the daily timeframe, so the logic does not repaint.
The “Neo” candle styling is post-trigger only to keep earlier bars clean.
Why this is original/useful:
This is a single, integrated framework: anchored ghost targets (with a non-crossing constraint), prove-it confirmation (3-close rule), and a non-lag composite microstructure score summarized in a Truth Table. The components are purpose-built to work together to reduce false breakouts and supply clean, objective targets after confirmation—this is not a cosmetic mashup.
Educational note: Not financial advice. Test before use.
ICT OTE (Optimal Trade Entry) IndicatorWhat This Indicator Does:
This is an ultra-clean ICT (Inner Circle Trader) indicator that shows only ONE high-probability signal at a time when multiple confluences perfectly align. It eliminates chart clutter and focuses on the absolute best trading opportunities.
How It Takes Positions:
🔍 Signal Requirements (ALL Must Align):
Market Structure Break - Significant swing high/low break with volume confirmation
Fair Value Gap (FVG) - Large price imbalance/gap (minimum 0.5% size)
Order Block - Institutional supply/demand zone from recent rejection candle
OTE Sweet Spot - Price retraces to 70.5% Fibonacci level (optimal entry zone)
Volume Confirmation - 50% above 50-bar average volume
Rejection Candle - Proper candle formation showing rejection at the level
📊 Position Entry Logic:
BUY Signal Triggers When:
Price breaks above a significant swing high (bullish structure break)
Price retraces back down into a Fair Value Gap or Order Block
Retracement reaches exactly the 70.5% optimal level
Volume spike confirms institutional interest
Rejection candle forms (closes higher than it opened during retracement)
No other signal has been active in the last 50 bars (cooldown system)
SELL Signal Triggers When:
Price breaks below a significant swing low (bearish structure break)
Price retraces back up into a Fair Value Gap or Order Block
Retracement reaches exactly the 70.5% optimal level
Volume spike confirms institutional interest
Rejection candle forms (closes lower than it opened during retracement)
No other signal has been active in the last 50 bars (cooldown system)
⚡ Key Features:
Ultra-Strict Filtering: Only 2-4 signals per month on average (quality over quantity)
One Signal Rule: Only one active signal at a time - no confusion
50-Bar Cooldown: Prevents signal spam and overtrading
Perfect Confluence: Requires 3+ ICT concepts to align simultaneously
Clean Chart: No boxes, lines, or visual clutter - just clear BUY/SELL labels
🎯 Trading Strategy:
Wait for Signal: Large BUY or SELL label appears on chart
Entry: Enter immediately when signal appears (all confluences already confirmed)
Stop Loss: Place beyond the Fair Value Gap or Order Block (typically 1-2% risk)
Take Profit: Target previous swing high/low or major liquidity levels
Risk Management: Only trade when signal appears - no guessing or early entries
💡 Why It Works:
This indicator combines ICT's most powerful concepts (market structure, FVGs, order blocks, optimal retracements) into one confluence-based system. It only signals when institutional money is likely moving, giving you the highest probability entries with minimal noise.
Perfect for: Swing traders, day traders, and anyone wanting clean, high-probability ICT signals without chart clutter.
The Perfect Timing IndicatorFlashes a green arrow on your screen when bullish momentum is starting to build.
MSMT _ Position Size CalculatorFor apes who don't wanna do math. This is a position size calculator in USD value. You enter how much you want to risk per trade in dollars. It automatically shows your USD position size, in real time on the candle your watching or the previous candle position.
DPS Scalper PlotEnhance your futures trading with the DPS Scalper Plot, a powerful TradingView indicator designed for NQ and ES traders. This tool overlays critical levels on your chart, calculated from a customizable Initial Balance (IB) session, to support the DPS Scalper Trading Strategy.
Key Features:
Custom IB Session: Set your calculation period (default 08:30-09:30) to define high and low levels.
Scalp Level Visualization: Display scalp levels with adjustable tick offsets (e.g., 32 ticks above/below IB high/low).
Stop Loss (SL) Lines: Show SL levels with customizable tick distances (e.g., 16 ticks) for long and short setups.
Flexible Offsets: Adjust high/low level offsets in ticks for precision (e.g., +4/-4 ticks).
Custom Labels: Add and rename labels (e.g., High, TP Long, SL Short) with adjustable sizes and visibility options.
Styling Options: Customize colors, line styles (solid, dashed, dotted), widths, and extension directions (left, right, both, none).
Dynamic Updates: Automatically extends levels across bars and refreshes at session changes.
Perfect for backtesting and visualizing breakout setups alongside the DPS Scalper Trading Strategy. Tailor it to your trading style and dominate your futures charts!
Custom ORBIT — GSK-VIZAG-AP-INDIA 📌 Description
Custom ORBIT — Opening Range Breakout Indicator Tool
Created by GSK-VIZAG-AP-INDIA
This indicator calculates and visualizes the Opening Range (OR) of the trading session, with customizable start/end times and flexible range duration. The Opening Range is defined by the highest and lowest prices during the selected initial market window.
🔹 Key Features:
User-defined Opening Range duration (default: 15 minutes from 9:15).
Adjustable session start and end times.
Plots Opening Range High (ORH) and Opening Range Low (ORL).
Extends OR levels across the session with multiple line style options (Dotted, Dashed, Solid, Smoothed).
Highlights breakouts (price crossing above/below OR) and reversals (price returning back inside).
Simple chart markers (triangles/labels) for quick visual recognition.
⚠️ Disclaimer:
This tool is intended for educational and analytical purposes only. It does not generate buy/sell signals or provide financial advice. Always use independent analysis and risk management.
Weekly pecentage tracker by PRIVATE
Settings Picture below this link: 👇
i.ibb.co
What it is
A lightweight “Weekly % Tracker” overlay that lets you manually enter weekly performance (in percent) for XAUUSD + up to 10 FX pairs, then shows:
a small table panel with each enabled symbol and its % result
one TOTAL row (Sum / Average / Compounded across all enabled symbols)
an optional mini badge showing the % for a single selected symbol
Nothing is auto-calculated from price—you type the % yourself.
Key settings
Panel: show/hide, position, number of decimals, colors (background, text, green/red).
Total mode:
Sum – adds percentages
Average – mean of enabled rows
Compounded –
(
∏
(
1
+
𝑝
/
100
)
−
1
)
×
100
(∏(1+p/100)−1)×100
Symbols:
XAUUSD (toggle + label + % input)
10 FX pairs (each has On/Off, label text, % input). You can rename labels to any symbol text you want.
Mini badge: show/hide, position, and symbol to display.
How it works
Overlay indicator: overlay=true; just draws UI on the chart (no plots).
Arrays (syms, vals, ons) collect the row data in order: XAU first, then FX1…FX10.
Helpers:
posFrom() converts a position string (e.g., “Top Right”) into a position.* constant.
wp_col() picks green/red/neutral based on the sign of the %.
wp_round() rounds values to the selected decimals.
calc_total() computes the TOTAL with the chosen mode over enabled rows only.
Table creation logic:
Counts how many rows are enabled.
If none enabled or panel is off: the panel table is deleted, so no box/background is visible.
If enabled and on: the panel is (re)created at the chosen position.
On each last bar (barstate.islast), it clears the table to transparent (bgcolor=na) and then fills one row per enabled symbol, followed by a single TOTAL row.
Mini badge:
Always (re)created on position change.
Shows selected symbol’s % (or “-” if that symbol isn’t enabled or has no value).
Colors text green/red by sign.
Notes & limits
It’s manual input—the script doesn’t read trades or P/L from price.
You can rename each row’s label to match any symbol name you want.
When no rows are enabled, the panel disappears entirely (no empty background).
Designed to be light: only draws tables; no heavy plotting.
If you want the TOTAL row to be optional, or different color thresholds, or CSV-style export/import of the values, say the word and I’ll add it.
Advanced Supertrend ADX Strategy with Highest ReturnOverview
This sophisticated trading strategy combines the proven Supertrend indicator with advanced momentum filters and trend strength analysis to identify high-probability long entries in trending markets.
Key Features
✅ Supertrend-Based Signals: Uses optimized ATR calculations for reliable trend detection
✅ Advanced Momentum Filtering: Multiple proprietary momentum filters ensure entry quality
✅ Trend Strength Validation: ADX-based confirmation prevents false signals in weak trends
✅ Intelligent Risk Management: Dynamic stop-loss system based on price action
✅ Visual Stop Loss Indicators: Clear visual representation of risk levels
How It Works
The strategy enters long positions when:
Supertrend indicator confirms bullish trend reversal
Proprietary momentum conditions align for optimal entry timing
Trend strength exceeds minimum threshold (ADX > 20)
Multiple timeframe momentum filters confirm signal quality
Ideal For
Trending markets (stocks, forex, crypto, indices)
Swing trading timeframes (15m to 4H work best)
Traders seeking systematic, rule-based entries
Risk-conscious traders wanting clear stop levels
Settings
ATR Period: Adjustable for different volatility environments (default: 10)
Supertrend Factor: Fine-tune sensitivity (default: 3.0)
ADX Parameters: Customize trend strength requirements
Performance Notes
Long-only strategy optimized for uptrending markets
Works best in trending conditions, may underperform in choppy markets
Designed for systematic execution with clear entry/exit rules
Disclaimer
Past performance does not guarantee future results. Always use proper risk management and position sizing appropriate for your account size. This is just for education purpose only and not recomanded for trading in s
Positive Close RatioThe Positive Close Ratio is a simple sentiment indicator that measures the percentage of days within a chosen lookback period where the closing price finished higher than the previous day.
• Calculation:
It counts how many daily closes were positive compared to the previous day, then divides by the total number of days in the lookback window.
\text{Positive Close Ratio} = \frac{\text{Number of Up Days}}{\text{Lookback Days}} \times 100
DEE's Indicator v2 — Daily Range, Averages & Previous High/Low🇺🇸 English
This indicator is designed to help traders analyze market volatility and daily price ranges.
It includes the following features:
• 5-bar analysis: Shows high-low ranges and percentage changes of the last 5 bars.
• Daily Average Range: Calculates daily average ranges based on the last 5 bars.
• Daily AVG Lines: Plots expected top and bottom range levels based on the daily average.
• Previous Day High/Low: Automatically draws lines from the previous day's high and low.
• Timeframe Separators: Adds visual separators between days, months, and years.
• Optional arrows: Displays arrow markers for the last detected bars used in the calculation.
Use cases:
● Intraday traders can quickly measure daily progress compared to the average daily range.
● Swing traders can identify support/resistance levels from previous daily highs and lows.
● Risk managers can monitor when current volatility deviates significantly from the average.
⚠️ Notes:
The script does not generate buy/sell signals; it provides analytical tools only.
All displayed information is for visual/educational purposes and should be combined with your own trading strategy.
👉 Don’t forget to adjust the settings to suit your needs.
If you are using a multi-chart layout with different timeframes and apply this indicator to each chart, the 5-bar data will be calculated separately based on each chart’s TF. However, the “Daily AVG” section will always show the same value for the 1D timeframe.
🇺🇿 O‘zbekcha
Ushbu indikator treyderlarga bozor volatilligi va kundalik narx diapazonlarini tahlil qilishda yordam berish uchun mo‘ljallangan.
Unda quyidagi funksiyalar mavjud:
• 5-bar tahlili: So‘nggi 5 ta bar diapazoni (high–low) va foiz o‘zgarishini ko‘rsatadi.
• Kundalik o‘rtacha diapazon: So‘nggi 5 ta bar asosida o‘rtacha kundalik diapazonni hisoblaydi.
• AVG Lines: Daily AVGning yuqori va pastki diapazon darajalarini chizadi.
• Oldingi kunning High/Low darajalari: Avtomatik ravishda oldingi kunning high va low darajalarini chizadi.
• Vaqt ajratgichlari: Kunlar, oylar va yillar orasiga vizual ajratgich qo‘shadi.
• Ixtiyoriy strelkalar: Hisoblash uchun foydalanilgan so‘nggi barlarda strelka belgilarini ko‘rsatadi.
Qo‘llanilishi:
● Intraday treyderlar kundalik natijani o‘rtacha kundalik diapazon bilan tezda solishtira olishadi.
● Swing treyderlar oldingi kunning high va low darajalaridan qo‘llab-quvvatlash/qarshilik darajalarini aniqlashlari mumkin.
● Risk-menejerlar hozirgi volatillik o‘rtachadan sezilarli darajada og‘ib ketganini kuzatishlari mumkin.
⚠️ Eslatma:
Ushbu indikator sotib olish/sotish signallarini bermaydi; u faqat tahliliy vosita sifatida ishlatiladi.
Ko‘rsatilgan barcha ma’lumotlar vizual/ta’limiy maqsadlarda mo‘ljallangan bo‘lib, o‘z strategiyangiz bilan birgalikda qo‘llanilishi lozim.
👉 Sozlamalarni ehtiyojlaringizga qarab moslashtirishni unutmang.
Agar siz multi-chart rejimida turli timeframelar bilan ishlasangiz va ushbu indikatorni har bir grafikda qo‘llasangiz, 5 ta bar haqidagi ma’lumotlar har bir grafikning o‘z TFiga qarab hisoblanadi. Ammo “Daily AVG” bo‘limida esa faqat 1D timeframe uchun bir xil qiymat ko‘rsatiladi.
🇷🇺 Русский
Этот индикатор предназначен для помощи трейдерам в анализе волатильности рынка и дневных ценовых диапазонов.
Он включает в себя следующие функции:
• Анализ 5 свечей: Показывает диапазон high–low и процентные изменения последних 5 свечей.
• Средний дневной диапазон: Рассчитывает средний дневной диапазон на основе последних 5 свечей.
• Линии среднего диапазона (AVG Lines): Строит ожидаемые верхние и нижние уровни диапазона на основе среднего дневного значения.
• Максимум/минимум предыдущего дня: Автоматически наносит линии с уровнями high и low предыдущего дня.
• Разделители временных интервалов: Добавляет визуальные разделители между днями, месяцами и годами.
• Опциональные стрелки: Показывает стрелки на последних свечах, использованных в расчётах.
Применение:
● Интрадей-трейдеры могут быстро измерять дневное движение по сравнению со средним дневным диапазоном.
● Свинг-трейдеры могут определять уровни поддержки/сопротивления по максимумам и минимумам предыдущего дня.
● Риск-менеджеры могут контролировать ситуации, когда текущая волатильность значительно отклоняется от среднего.
⚠️ Примечания:
Этот индикатор не генерирует сигналы на покупку/продажу; он предоставляет только аналитические инструменты.
Вся отображаемая информация предназначена для визуальных/образовательных целей и должна использоваться совместно с вашей торговой стратегией.
👉 Не забудьте настроить параметры под свои нужды.
Если вы работаете в режиме мульти-графика с разными таймфреймами и применяете этот индикатор на каждом графике, данные по 5 барам будут рассчитываться отдельно для каждого ТФ. Однако в разделе “Daily AVG” всегда отображается одно и то же значение для таймфрейма 1D.
© Dilshod Nurmatov Shuhratovich | deetradesonline | 2025
Delta Pulse Oscillator — GSK-VIZAG-AP-INDIA“Delta Pulse Oscillator visualizes buy vs. sell pressure using smoothed delta %, baselines, and crossover markers.”
📌 Delta Pulse Oscillator — GSK-VIZAG-AP-INDIA
The Delta Pulse Oscillator is a custom-built momentum tool that measures the balance between buying and selling activity and smooths it with moving averages. It provides a visual representation of percentage delta strength with dynamic coloring, baseline levels, and crossover markers.
🔎 Key Features
Delta EMA (%) Line → Shows the smoothed percentage difference between simulated buy and sell volumes.
Signal EMA Line → A shorter EMA applied on Delta EMA to highlight momentum shifts.
Baseline Levels
0 line (neutral balance of buy/sell activity).
+5 baseline (stronger positive pressure).
-5 baseline (stronger negative pressure).
Dynamic Coloring → Green when Delta EMA is above zero, red when below.
Cross Dots
Yellow dots mark when Delta EMA or Signal EMA crosses the zero line.
Orange dots appear when Delta EMA crosses the +5 or –5 baselines.
Green/Red dots highlight when both EMAs stay above +5 or below –5.
Background Fills → Visual zones for positive and negative regions.
🧩 How It Can Be Used
Helps to visualize buying vs. selling pressure in real time.
Highlights when momentum is strengthening or weakening around defined baseline levels.
Useful as a confirmation tool when combined with other forms of analysis.
⚠️ Note: This script is for educational and analytical purposes only. It is not a trading strategy and does not provide buy/sell signals. Always use with additional tools, price action, and proper risk management.
Trading Advice By RajTrading Advice Strategy
This strategy is based on a simple moving average crossover system using the 50 EMA and the 200 EMA.
Buy Signal (Long): When the 50 EMA crosses above the 200 EMA, a bullish trend is detected and a BUY signal is generated.
Sell Signal (Short): When the 200 EMA crosses above the 50 EMA, a bearish trend is detected and a SELL signal is generated.
EMA lines are hidden on the chart for a clean look. Only BUY and SELL signals are shown as labels.
Suitable for trend-following traders who want clear entry signals without noise.
Can be combined with risk management tools like Stop Loss & Take Profit for better results. youtube.com BINANCE:BTCUSDT
