Master Litecoin Network Address Value Model BandThe Master Litecoin Network Address Value Model Band indicator compares Litecoin (LTC) and Bitcoin (BTC) network address activity to estimate LTC's value relative to BTC's price. It plots a band using new and total address ratios, adjusted by supply differences. Note: It excludes Litecoin's MWEB addresses, likely undervaluing the Litecoin network over time as MWEB adoption grows.
Padrões gráficos
Master Litecoin Network Growth BandsThe "Master Litecoin Network Growth Bands" indicator (Pine Script v5) plots 26 horizontal bands on the Litecoin price chart (VANTAGE:LTCUSD) by dividing IntoTheBlock’s total Litecoin addresses by divisors (400 to 20,000,000). Each band (Band1 to Band26) is drawn with a white, thin line (linewidth=1), showing network growth relative to price to help identify support, resistance, or valuation levels. Note that this indicator does not include addresses on Litecoin’s MWEB (MimbleWimble Extension Blocks).
Master Litecoin Miner Sell PressureThe "Master Litecoin Miner Sell Pressure" indicator (Pine Script v5) tracks Litecoin miner selling pressure by comparing 14-day miner outflows to reserves, using IntoTheBlock data. It highlights high sell pressure with a blue background when the metric exceeds a 200-day Bollinger Band upper threshold, signaling potential bearish price pressure. Licensed under Mozilla Public License 2.0, adapted from © capriole_charles' Bitcoin indicator.
Master Litecoin Hashrate IndicatorThis script is a custom indicator called "Master Litecoin Hashrate Indicator," designed to track and visualize Litecoin's hashrate trends in the form of both a moving average and raw hashrate data. Here’s a breakdown of how it works:
Overview:
Indicator Type: It’s an overlay set to false, meaning it won’t be plotted directly on the price chart but on a separate pane beneath it.
Litecoin Hashrate: This tracks the computational power used to mine Litecoin, in PH/s (Peta Hashes per second).
Key Components:
Inputs:
ma_length: This is the length of the moving average, calculated as half of 7 (which equals 3.5), to smooth out the hashrate data.
Hashrate Data:
hashrate: The script pulls real-time Litecoin hashrate data using the INTOTHEBLOCK:LTC_HASHRATE security symbol from TradingView.
ma_hashrate: A simple moving average (SMA) is applied to the raw hashrate data over the defined period (ma_length), helping to smooth out short-term fluctuations.
Plotting:
hashrate: The raw hashrate is plotted in yellow with a linewidth of 2.
ma_hashrate: The moving average of the hashrate is plotted in white with a linewidth of 2.
Background Color:
The background color changes dynamically depending on the relationship between the raw hashrate and its moving average:
If the raw hashrate is greater than the moving average, the background turns a yellow color (with 90% transparency).
If the raw hashrate is less than the moving average, the background turns blue (with 90% transparency).
If they are equal, there is no background color change.
Purpose:
This indicator helps to visualize the current hashrate trends and compare them with the longer-term moving average. By doing so, it can highlight periods where the hashrate is either increasing or decreasing significantly, giving traders insights into network activity and mining strength.
Vinicius Setup ATR
Description:
This script is a strategy based on the Supertrend indicator combined with volume analysis, candle strength, and RSI. Its goal is to identify potential entry points for buy and sell trades based on technical criteria, without promising profitability or guaranteed results.
Script Components:
Supertrend: Used as the main trend compass. When the trend is positive (direction = 1), buy signals are considered; when negative (direction = -1), sell signals are considered.
Volume: Entries are only validated if the volume is above the average of the last 20 candles, adjusted with a 1.2 multiplier.
Candle Body: The candle body must be larger than a certain percentage of the ATR, ensuring sufficient strength and volatility.
RSI: Used as a filter to avoid trades in extreme overbought or oversold zones.
Support and Resistance: Identified based on simple pivots (5 periods before and after).
Customizable Parameters:
ATR Length and Multiplier: Controls the sensitivity of the Supertrend.
RSI Period: Adjusts the relative strength filter.
Minimum Volume and Candle Body: Settings to validate entry signals.
Entry Conditions:
Buy: Positive trend + strong candle + high volume + RSI below 70.
Sell: Negative trend + strong candle + high volume + RSI above 30.
Exit Conditions:
The trade is closed upon the appearance of an opposite signal.
Notes:
This is a technical system with no profit guarantees.
It is recommended to test with realistic capital values and parameters suited to your risk management.
The script is not optimized for specific profitability, but rather to support study and the construction of setups with objective criteria.
Volume and Volatility Ratio Indicator-WODI该指标名为“交易量与波动率比例指标-WODI”，主要基于交易量和价格波动率构造一个复合指数，帮助识别市场内可能存在的异常或转折信号。具体实现如下：
用户自定义参数
用户可以设置交易量均线长度（vol_length）、指数的短期与长期均线长度（index_short_length、index_long_length）、均线敏感度（index_magnification）、阈值放大因子（index_threshold_magnification）以及检测K线形态的区间（lookback_bars）。这些参数为后续计算提供了灵活性，允许用户根据不同市场环境自定义指标的敏感度和响应速度。
交易量均线与百分比计算
首先通过 ta.sma 计算指定长度的交易量简单均线（vol_ma）。
接下来，将当前交易量与均线进行比较，计算出当前交易量占均线的百分比（vol_percent），这反映了短期内交易量的相对活跃程度。
波动率的衡量
使用当前K线的最高价和最低价计算振幅，再除以收盘价乘以100得到波动率（volatility），从而反映市场价格波动的幅度。
构建交易量/波动率指数
将交易量百分比与波动率相乘，形成了“交易量/波动率指数”（volatility_index）。该指数能够同时反映市场的交易活跃度和价格波动性，两者的联合作用帮助捕捉市场的“热度”。
计算指标均线与阈值
对交易量/波动率指数分别计算短期均线（index_short_ma）和长期均线（index_long_ma），并通过乘以一个敏感度参数（index_magnification）进行调整。
同时，依据长期均线计算一个阈值（index_threshold），起到过滤噪音的作用。当指数突破该阈值时，可能预示着市场的重要变化。
K线形态与反转模式检测
通过遍历最近几根K线（由lookback_bars控制），指标会检测是否符合一系列预定条件（涉及交易量、价格振幅、K线形态等），以判断是否存在反转模式。若符合条件，则标记为反转模式，从而为潜在的转折点提供提示。
图表展示
最终在独立窗口中绘制多个元素：
指数短均线与长均线：经过敏感度调整后显示，用于分析指数趋势。
交易量/波动率指数：采用阶梯线风格绘制，直观展示指数变化。
阈值线：作为参考水平，便于判断指数是否突破常规范围。
交易量柱状图：当当前交易量高于均线时，通过不同颜色显示；当检测到反转模式时，颜色会进一步强化，帮助用户迅速识别潜在信号。
English Description
This indicator, titled “Volume and Volatility Ratio Indicator - WODI”, is designed to construct a composite index based on trading volume and price volatility, aiding in the identification of abnormal market conditions or potential reversal signals. Its functionality is broken down as follows:
User-Defined Parameters
The indicator allows users to set parameters such as the moving average length for volume (vol_length), the short and long moving average lengths for the index (index_short_length and index_long_length), a sensitivity multiplier (index_magnification), a threshold magnification factor (index_threshold_magnification), and the number of bars for pattern detection (lookback_bars). These parameters provide flexibility to adjust the sensitivity and responsiveness of the indicator based on different market conditions.
Volume Moving Average and Percentage Calculation
A simple moving average (SMA) of volume is computed over the specified length (vol_ma) using the ta.sma function.
The current volume is then compared to its moving average to calculate the volume percentage (vol_percent), reflecting the relative trading intensity in the short term.
Measuring Volatility
Volatility is calculated based on the current bar’s high and low prices, normalized by the closing price and multiplied by 100, which provides a measure of the market’s price fluctuation magnitude.
Constructing the Volume/Volatility Index
The index (volatility_index) is derived by multiplying the volume percentage by the calculated volatility. This composite metric reflects both market activity and price movement, effectively capturing the overall “heat” of the market.
Calculating the Index Moving Averages and Threshold
Two moving averages for the volatility_index are computed: one short-term (index_short_ma) and one long-term (index_long_ma). These are then adjusted by the sensitivity multiplier (index_magnification).
A threshold level (index_threshold) is calculated based on the long-term moving average multiplied by the threshold magnification factor, serving to filter out market noise. When the index exceeds this threshold, it may signal significant market shifts.
Detection of Reversal Patterns
The indicator iterates through the recent bars (as determined by lookback_bars) to check whether a set of predetermined conditions (involving trends in the volatility_index, volume comparisons, price closes, and K-line patterns) are met. If these conditions are satisfied, it flags a reversal pattern, which may serve as a warning for a potential market turnaround.
Visualization on the Chart
The final display includes several elements plotted in a separate indicator window:
The short-term and long-term moving averages of the index (after sensitivity adjustment) which help visualize the trend of the composite index.
The volatility index itself is drawn using a step-line style for clarity.
A threshold line is plotted to provide a reference level against which index movements can be compared.
A volume histogram is also displayed, where bars are colored differently when the current volume exceeds the moving average; the color is further enhanced if a reversal pattern is detected, making it easy for users to quickly spot potential signals.
Highlight Candle Body ≤ 10 Ticks (Clean & Subtle)Purpose:
This indicator highlights candlesticks where the body size (difference between open and close) is 10 ticks or less, specifically for instruments like Crude Oil futures (CL) where 1 tick = 0.01.
How it works:
It calculates the body size: abs(close - open)
If the body is ≤ 0.10 (10 ticks), the candle is softly colored in muted orange.
Wicks are ignored — only the body is considered.
No additional shapes or markers — clean and minimal.
Use case:
Helps identify periods of indecision or low momentum — such as potential pause candles, traps, or setups just before volatility returns.
Liquidity Fracture DetectorThe Liquidity Fracture Detector is an advanced tool designed to identify micro-liquidity traps and structural fakeouts on intraday charts. These occur when the market appears to break out, only to quickly reverse — often triggered by stop hunts, inefficient fills, or manipulated order flow.
The script combines volume spikes, volatility anomalies, and price structure breaks to signal "fractures" — points where the market temporarily breaks its behavior, often followed by strong reversals or trend accelerations.
Detection logic in the script:
Volume spike greater than 2x the average (adjustable)
Volatility spike: candle range is > 1.5x the average
Extreme wicks: wick is larger than the candle body (a classic trap signal)
Structure break: price breaks previous high/low but closes back within the old range
Combine these elements → a “fracture” is marked
Visual representation:
Red background = potential bull trap (fake breakout to the upside)
Green background = potential bear trap (fake breakdown to the downside)
A label appears at each fracture: “Echo” with the number of previous hits
Ideal use cases:
Intraday trading (1m, 5m, 15m)
Crypto, indices, futures, and forex
Detecting reactive zones where the market takes a false direction
Confluence with S/R zones, order blocks, or liquidity pools
Fully customizable:
Volume and range sensitivity
Heatmap intensity
Toggle labels on/off
Note:
This script is intended to support discretionary analysis. It does not provide buy or sell signals and is not an automated strategy. Combine it with your own price action or order flow setup for optimal results.
NY AM Session Quartile LinesNY AM Session Quartile Lines
This script automatically divides the New York AM session (6:00 AM to 12:00 PM NY time) into four clear quartiles.
It helps traders visualize the market structure by marking each new quartile with customizable vertical lines.
🔹 Features:
Configurable session start time (NY time).
Adjustable line color, width, and style (solid, dashed, or dotted).
Clean, lightweight design that fits any trading style.
Works across all instruments and timeframes that cover the NY session.
🔹 Perfect for:
Intraday traders who focus on New York session dynamics.
Identifying accumulation, manipulation, and distribution phases across the session.
Structuring the AM session into logical market segments for better planning and analysis.
🎯 Default Settings:
Start Hour: 6:00 AM NY
Line Style: Dashed
Line Color: Black
Line Width: 2
MACD Liquidity Tracker SystemMACD Liquidity Tracker System
🔹 Enhanced MACD with candle coloring, entry markers, and customizable signal logic.
🧠 Features:
This tool combines a color-coded MACD histogram with signal-based candle colors and small shape markers (🔼🔽) for clear market momentum and entry visualization.
📊 Visuals:
MACD Histogram (Sub-panel):
4 dynamic colors to show momentum direction:
🔹 Bright Blue = MACD > 0 & rising (strong bullish)
🔹 Dark Blue = MACD > 0 & falling (weakening bullish)
🔹 Bright Magenta = MACD < 0 & falling (strong bearish)
🔹 Dark Magenta = MACD < 0 & rising (weakening bearish)
Price Candles (Main Chart):
🔹 Bright Blue = Active Long signal
🔹 Bright Magenta = Active Short signal
Entry Markers:
🔼 Blue triangle (below candle) = Start of Long
🔽 Magenta triangle (above candle) = Start of Short
⚙️ System Types (select in settings):
Normal:
🔹 Long = MACD > 0
🔹 Short = MACD < 0
Fast: (Based on histogram color)
🔹 Long = Bright Blue OR Dark Magenta
🔹 Short = Dark Blue OR Bright Magenta
Safe:
🔹 Long = Only Bright Blue
🔹 Short = All other colors
🔔 Alerts:
Alerts trigger only on the first bar of a new Long/Short signal.
Easy to set up using TradingView’s alert system.
📌 How to Use:
Add the indicator to your chart
Open settings and select a System Type
Adjust MACD parameters if needed
Use histogram color + candle color for momentum and signal confirmation
Set alerts for clean entries if desired
💡 Ideal for traders seeking visual clarity and flexible MACD-based strategies.
Aviad SMC Flow🔹 Aviad SMC Flow – Smart Structure & Zones Indicator
A professional SMC-based indicator for identifying:
✅ BoS – Break of Structure
✅ CHoCH – Change of Character
✅ MSS – Market Structure Shift
✅ Automated Support & Resistance Zones
✅ Liquidity Grab and Reversal Points
✅ Market Structure with historical display
Optimized for 1H and lower timeframes.
Designed for real Smart Money Concepts (SMC) trading.
Perfect for intraday traders, swing traders, and scalpers.
Wick Anomaly DetectorWick Anomaly Detector
This script helps identify candles with unusually large wicks compared to their body size — a common sign of price anomalies, false prints, or low-liquidity moves.
🔍 What it does:
Flags candles with upper or lower wicks that exceed a user-defined ratio (default: 3x the body size)
Helps traders spot suspicious spikes or “bad ticks,” especially in pre-market or illiquid stocks
📈 Use it to:
Avoid fake breakouts
Confirm real price action
Clean up your technical analysis
Customize the wick-to-body threshold as needed. Add volume filters or time filters for more precision.
Created for educational purposes — use with proper risk management!
FVG + Swings + ConfigurableOverview
This Pine Script v5 indicator highlights Fair Value Gaps (FVGs), plots swing‑high and swing‑low pivots, and marks single breakouts above the last swing‑high or below the last swing‑low by recoloring the breakout candle. Every aspect—gap size, count limits, colors, and feature toggles—is exposed as an input so you can tailor it to your own workflow.
Key Features
Fair Value Gaps
Detects bullish gaps when the high of bar i-2 is below the low of the current bar.
Detects bearish gaps when the low of bar i-2 is above the high of the current bar.
Draws a semi‑transparent rectangle spanning from bar i-2 to bar i + extension.
Automatically deletes oldest boxes when exceeding the user’s “Max FVG Boxes” limit.
Swing‑High / Swing‑Low Pivots
Identifies a swing‑high when the middle candle of a three‑bar sequence has the highest high.
Identifies a swing‑low when the middle candle has the lowest low.
Marks each pivot with a tiny dot above (high) or below (low) the bar.
Single Breakouts
Tracks the most recent swing‑high and swing‑low levels.
On the first close above the last swing‑high (or below the last swing‑low), recolors that single candle.
Prevents repeated coloring until a new swing pivot forms.
Full Customization
Show/Hide toggles for FVGs, swing pivots, breakouts.
Numeric inputs for FVG extension length and maximum retained boxes.
Color pickers for bullish/bearish gaps, swing pivots, and breakout candles.
Break Close High/Low ExtendedBreak Close High/Low Extended
This indicator highlights momentum breakout candles by marking when the candle's close breaks above the previous high (bullish) or below the previous low (bearish). It's designed to help traders quickly identify strong directional intent and potential continuation zones.
🔍 Key Features:
Bullish break candles: Close above the previous candle's high
Bearish break candles: Close below the previous candle's low
Custom bar coloring to visually emphasize breakout candles
Toggleable shapes to mark break candles
Optional shaded boxes that extend a customizable number of bars to the right
Breakout levels displayed as horizontal lines from candle highs/lows
Special highlight for two consecutive breakout candles, capturing extended momentum and volatility
Fully customizable: color pickers, transparency, and extension length
⚙️ Ideal For:
Trend continuation setups
Momentum trading
Breakout confirmation
Scalping and intraday analysis
Dskyz (DAFE) AI Adaptive Regime - Beginners VersionDskyz (DAFE) AI Adaptive Regime - Pro: Revolutionizing Trading for All
Introduction
In the fast-paced world of financial markets, traders need tools that can keep up with ever-changing conditions while remaining accessible. The Dskyz (DAFE) AI Adaptive Regime - Pro is a groundbreaking TradingView strategy that delivers advanced, AI-driven trading capabilities to everyday traders. Available on TradingView (TradingView Scripts), this Pine Script strategy combines sophisticated market analysis with user-friendly features, making it a standout choice for both novice and experienced traders.
Core Functionality
The strategy is built to adapt to different market regimes—trending, ranging, volatile, or quiet—using a robust set of technical indicators, including:
Moving Averages (MA): Fast and slow EMAs to detect trend direction.
Average True Range (ATR): For dynamic stop-loss and volatility assessment.
Relative Strength Index (RSI) and MACD: Multi-timeframe confirmation of momentum and trend.
Average Directional Index (ADX): To identify trending markets.
Bollinger Bands: For assessing volatility and range conditions.
Candlestick Patterns: Recognizes patterns like bullish engulfing, hammer, and double bottoms, confirmed by volume spikes.
It generates buy and sell signals based on a scoring system that weighs these indicators, ensuring trades align with the current market environment. The strategy also includes dynamic risk management with ATR-based stops and trailing stops, as well as performance tracking to optimize future trades.
What Sets It Apart
The Dskyz (DAFE) AI Adaptive Regime - Pro distinguishes itself from other TradingView strategies through several unique features, which we compare to common alternatives below:
| Feature | Dskyz (DAFE) | Typical TradingView Strategies|
|---------|-------------|------------------------------------------------------------|
| Regime Detection | Automatically identifies and adapts to **four** market regimes | Often static or limited to trend/range detection |
| Multi‑Timeframe Analysis | Uses higher‑timeframe RSI/MACD for confirmation | Rarely incorporates multi‑timeframe data |
| Pattern Recognition | Detects candlestick patterns **with volume confirmation** | Limited or no pattern recognition |
| Dynamic Risk Management | ATR‑based stops and trailing stops | Often uses fixed stops or basic risk rules |
| Performance Tracking | Adjusts thresholds based on past performance | Typically static parameters |
| Beginner‑Friendly Presets | Aggressive, Conservative, Optimized profiles | Requires manual parameter tuning |
| Visual Cues | Color‑coded backgrounds for regimes | Basic or no visual aids |
The Dskyz strategy’s ability to integrate regime detection, multi-timeframe analysis, and user-friendly presets makes it uniquely versatile and accessible, addressing the needs of everyday traders who want professional-grade tools without the complexity.
-Key Features and Benefits
[Why It’s Ideal for Everyday Traders
⚡The Dskyz (DAFE) AI Adaptive Regime - Pro democratizes advanced trading by offering professional-grade tools in an accessible package. Unlike many TradingView strategies that require deep technical knowledge or fail in changing market conditions, this strategy simplifies complex analysis while maintaining robustness. Its presets and visual aids make it easy for beginners to start, while its adaptive features and performance tracking appeal to advanced traders seeking an edge.
🔄Limitations and Considerations
Market Dependency: Performance varies by market and timeframe. Backtesting is essential to ensure compatibility with your trading style.
Learning Curve: While presets simplify use, understanding regimes and indicators enhances effectiveness.
No Guaranteed Profits: Like all strategies, success depends on market conditions and proper execution. The Reddit discussion highlights skepticism about TradingView strategies’ universal success (Reddit Discussion).
Instrument Specificity: Optimized for futures (e.g., ES, NQ) due to fixed tick values. Test on other instruments like stocks or forex to verify compatibility.
📌Conclusion
The Dskyz (DAFE) AI Adaptive Regime - Pro is a revolutionary TradingView strategy that empowers everyday traders with advanced, AI-driven tools. Its ability to adapt to market regimes, confirm signals across timeframes, and manage risk dynamically. sets it apart from typical strategies. By offering beginner-friendly presets and visual cues, it makes sophisticated trading accessible without sacrificing power. Whether you’re a novice looking to trade smarter or a pro seeking a competitive edge, this strategy is your ticket to mastering the markets. Add it to your chart, backtest it, and join the elite traders leveraging AI to dominate. Trade like a boss today! 🚀
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
-Dskyz
cd_full_poi_CxOverview
This indicator tracks the price in 16 different time frames (optional) in order to answer the question of where the current price has reacted or will react.
It appears on the chart and in the report table when the price approaches or touches the fvg or mitigations (order block / supply-demand), the rules of which will be explained below.
In summary, it follows the fvg and mitigations in the higher timeframe than the lower timeframe.
Many traders see fvg or mitigates as an point of interest and see the high, low swept in those zones as a trading opportunity. Key levels, Session high/lows and Equal high and lows also point of interest.
If we summarise the description of the point of interest ;
1- Fair value gaps (FVG) (16 time frames)
2- Mitigation zones (16 time frames)
3- Previous week, day, H4, H1 high and low levels
4- Sessions zones (Asia, London and New York)
5- Equal high and low levels are in indicator display.
Details:
1- Fair Value Gaps : It is simply described as a price gap and consists of a series of 3 candles. The reaction of the price to the gap between the 1st and 3rd candle wicks is observed.
The indicator offers 3 options for marking. These are :
1-1- ‘Colours are unimportant’: candle colours are not considered for marking. Fvg formation is sufficient.(Classical)
1-2- ‘First candle opposite colour’ : when a price gap occurs, the first candle of a series of 3 candles must be opposite.
For bullish fvg : bearish - bullish - free
For Bearish fvg : bullish - bearish - free
1-3- ‘All same colour’ : all candles in a series of 3 candles must be the same direction.
For bullish fvg: bullish - bullish - bullish
For bearish fvg : bearish - bearish – bearish
Examples:
2- Mitigation zones: Opposite candles with a fvg in front of them or candles higher/lower than the previous and next candle and with the same colour as the fvg series are marked.
Examples :
3- Previous week, day, H4, H1 high and low levels
4- Sessions regions (Asia, London and New York)
5- Equal high and low levels:
Annotation: Many traders want to see a liquidity grab on the poi, then try to enter the trade with the appropriate method.
Among the indicators, there is also the indication of grabs/swepts that occur at swing points. It is also indicated when the area previously marked as equal high/low is violated (grab).
At the end, sample setups will be shown to give an idea about the use of the indicator.
Settings:
- The options to be displayed from the menu are selected by ticking.
- 1m, 2m, 3m, 5m, 5m, 10m, 15m, 30m, h1, h4, h4, h6, h8, h12, daily, weekly, monthly and quarterly, 16 time zones in total can be displayed.
- The ‘Collapse when the price touches mitigate’ tab controls whether to collapse the box as the price moves into the inner region of the mitigate. If not selected, the size of the mitigate does not change.
- ‘Approach limit =(ATR / n)’ tab controls how close the price is to the fvg or mitigate. Instant ATR(10) value is calculated by dividing by the entered ‘n’ value.
- All boxes and lines are automatically removed from the screen when the beyond is closed.
- Colour selections, table, text features are controlled from the menu.
- Sessions hours are set as standard hours, the user can select special time zones. Timezone is set to GMT-4.
- On the candle when the price touches fvg or mitigate, the timeframe information of the POI is shown in the report table together with the graphical representation.
The benefits and differences :
1- We can evaluate the factors we use for setup together.
2- We are aware of what awaits us in the high time frame in the following candles.
3- It offers the user the opportunity to be selective with different candle selection options in fvg selection.
4- Mitige areas are actually unmitige areas because they have a price gap in front of them. The market likes to retest these areas.
5- Equal high/low zones are the levels that the price creates to accumulate liquidity or fails to go beyond (especially during high volume hours). Failure or crossing of the level may give a reversal or continuation prediction.
Sample setup 1:
Sample setup 2:
Sample setup 3:
Cheerful trades…
Enjoy…
Head & Shoulders Pattern (Zeiierman)█ Overview
The Head & Shoulders Pattern (Zeiierman) is an advanced pattern recognition tool that automatically detects and visualizes one of the most powerful reversal patterns in technical analysis — the classic Head & Shoulders and Inverse Head & Shoulders formations .
This indicator brings structure clarity directly onto the price chart, allowing traders to instantly spot potential major reversal zones without manually drawing or searching for patterns.
It doesn't just draw lines — it intelligently scans price action for symmetry, pivot behavior, and neckline structures — then projects realistic price targets based on the pattern's height.
⚪ In simple terms:
▸ Standard Head & Shoulders → Bearish Reversal Pattern
▸ Inverse Head & Shoulders → Bullish Reversal Pattern
▸ Target Projection → Estimated Move from Neckline Break
▸ Labels → Clear annotation of Left Shoulder, Head, and Right Shoulder
█ How It Works
The indicator combines multiple technical detection layers into a clean visual model:
⚪ Dynamic Pivot Engine
Automatically detects pivot highs and lows based on user-defined Period.
Longer Period = Broader, higher-confidence patterns
Shorter Period = Smaller, more frequent patterns
⚪ Pattern Detection Logic
Scans pivot structures in real-time to identify valid:
Bearish Head & Shoulders (H&S)
Bullish Inverse Head & Shoulders (iH&S)
Conditions include:
▸ Symmetry validation
▸ Head above (or below) Shoulders
▸ Neckline structure
▸ Minimum price conditions met
█ How to Use
⚪ Reversal Trading
Look for Head & Shoulders at the top of an uptrend
Look for Inverse Head & Shoulders at the bottom of a downtrend
⚪ What makes our tool truly unique is that it goes beyond the traditional textbook definition.
Our custom Head & Shoulders algorithm is built with flexibility and adaptability in mind. It dynamically responds to real-time price action, allowing it to detect valid patterns not only at major trend reversals — but also within trending environments.
That means you can spot Head & Shoulders formations at:
Consolidation zones
Trend continuation areas
Corrective phases within established trends
It doesn’t have to be the absolute top or bottom of a move — and that’s the real power of this tool. It adapts. It evolves. It finds structure where most indicators stay blind.
█ Common Real-World Stop Loss Strategies with Head & Shoulders Patterns
Not all Head & Shoulders patterns are created equal — and neither are the stop loss strategies used to trade them.
Depending on your trading style, risk tolerance, and market context — here are the 3 most common ways traders manage stop placement when trading Head & Shoulders (H&S) or Inverse Head & Shoulders (iH&S) patterns:
⚪ Conservative Stop Placement
Maximum Safety — Minimum Chance of Being Stopped Prematurely
Stop Placement:
Above the Head (Bearish H&S)
Below the Head (Bullish iH&S)
Pros: Safest approach. Provides maximum protection against false breakouts and noise.
Cons: Often results in very large stop losses, especially on bigger patterns or higher timeframes. Risk-to-Reward (RR) can be poor unless the target is far.
⚪ Aggressive Stop Placement
Tighter Risk — Faster Invalidations
Stop Placement:
Above the Right Shoulder (Bearish H&S)
Below the Right Shoulder (Bullish iH&S)
Pros: Smaller stop losses. Improved RR. Ideal for traders who want tighter control over risk.
Cons: Higher chance of getting stopped on retests or minor volatility around the neckline zone.
⚪ Neckline Reclaim Invalidation
Dynamic & Price-Action Based Exit
Stop Placement:
Exit the trade if price closes back above (bearish) or below (bullish) the neckline after breaking it.
Pros: Dynamic approach based on market behavior rather than static levels. Allows more flexibility.
Cons: Requires active trade management. Not suitable for fully automated or set-and-forget trading styles.
█ Why It's Useful
This is not a basic pattern drawing tool — it's a complete detection system built for traders who want to:
Automatically detect powerful reversal patterns
Avoid the subjectivity of manually drawing H&S structures
Trade with clear target projections
Identify high-probability reversal zones
Visually map structure shifts in real-time
█ Settings
Pivot Detection
Period → Number of bars used to scan for pivots (Higher = Bigger patterns)
Pattern Detection
Enable Bullish Head & Shoulders
Enable Bearish Head & Shoulders
Visualization
Customize Colors (Lines, Fills, Labels)
Enable/Disable Labels
Pattern Style: Closed / Open
Custom Label Colors
Target Projection
Enable/Disable Target Projection
Customize Target Colors
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
MissedPrice[KiomarsRakei]█ Overview:
The MissedPrice script identifies price zones based on significant Open Interest shifts (including gaps) aligned with price movements. When sudden market positioning changes occur, the script pinpoints target zones where price is believed to return. Each signal directs you toward these opportunity zones with supporting metrics like Notional Value, Volume Ratio, and Funding Rate timing to help qualify the signals.
█ Core Concept:
Markets frequently "miss" critical price levels during rapid movements. These missed zones occur when:
Orders are revoked during sudden price shifts
Exchanges fail to execute at intended prices
TP/SL orders miss exact execution points
Institutional orders create supply/demand imbalances
Market structure shifts bypass key levels
Liquidity voids form from positioning changes
These missed price zones create natural targets that price tends to revisit. The MissedPrice indicator identifies these zones by analyzing the relationship between Open Interest, Price, and Volume.
█ Closer look at target zones:
Target zones are calculated using the open price where significant OI shifts occur, with zone width adjusted based on the High-Low ratio and ATR to adapt to current volatility. If a zone is touched once after a signal is generated, it is no longer valid. This can be understood as the missing positions and volume having now entered the market.
Each zone's Notional Value (NV) - calculated as OI change multiplied by price - measures the financial impact of the positioning shift. Higher NV indicates more significant market activity and greater liquidity, making price more likely to return to that area. Users can adjust NV ratio thresholds in the inputs to filter signal quality.
█ Features:
Statistical Dashboard: Real-time statistics table showing performance metrics for signals
Funding Rate Visualization: Vertical lines indicate funding rate times to help correlate signals with these significant market events
Alert Capability: Set up alerts for new signals to never miss a trading opportunity
Dynamic Entry Lines: Draws adjustable entry and target level lines to facilitate precise trade execution and measurement, customizable via inputs
█ Closer Look at Statistics Table:
Signal Count: Total numbers of signals generated and total candles included (limited by TradingView's OI historical data)
Win Rate: can be interpreted as the hit rate of target zones. Whenever price reaches the zone, it is calculated as a win, regardless of how far price may have moved in the opposite direction beforehand. This metric measures the script's accuracy in identifying price zones that eventually get revisited.
Total Profit: Calculates possible profit from first entry to target of hit signals - an estimate since humans can't take all signals and might have better entries or average down. By default is turned off can be turned on in the input menu.
Bad Signals: Signals taking too long to complete or moving much further from target
Bad but Hit: Bad signals that eventually hit the target despite early challenges
As you can see in the chart, there are zones that price does not return to touch. There is no guarantee that every identified zone will be reached, which is why the script provides additional qualification metrics to help assess signal probability.
Due to limitations of Open Interest data, you can only use this script on crypto pairs that have Open Interest data available on TradingView. While the script works on any timeframe, it performs best on timeframes less than daily.
█ Best Practices:
Use it in bar replay mode to master the strategy
Try different risk management systems based on how far price goes from the target and your creativity
Use the volume ratio and funding time data to further qualify signals
Notional Value plays a key role
GME Bond Tracker [theUltimator5]This indicator tracks when GME 0.0% convertible notes, ticker GME6042202 sees trade volume and plots it on the chart.
This indicator is used to track bond-equity arbitrage between GME and the convertible notes. When the bonds trade, there is generally a large qualified contingent trade block at the same time, so the underlying stock volume can be matched against the bond trading.
This is used to help predict future movements of GME, as well as perform trend and reaction analysis on the bond/equity arbitrage events.
TuxTune - Dynamic Vertical LineVisual aid. The vertical line moves dynamically with the last candle of the selected time frame.
The middle of the line moves with the latest price.
The line range (height) can be set to any value to aid in quickly gauging the size of the candles without having to keep looking at the numbers on the vertical axis to determine how big the candles are.
Line width, color, and distance from the last candle can also be set.
The label can be turned off/on.
Gabriel's Crypto Cycle Master [Multi-Asset]🧠 Gabriel's Crypto Cycle Master
Gabriel’s Crypto Cycle Master is a comprehensive macro valuation tool designed to identify long-term accumulation and distribution zones for any crypto asset using custom on-chain and price-based models.
🔹 Fully Multi-Asset Support
Manually input full tickers from COINMETRICS, GLASSNODE, or INDEX to track:
Realized Market Cap
On-chain Supply
Total Transaction Volume
USD-denominated Price
🔹 Core Metrics Modeled
This script computes major macroeconomic valuation layers based on widely researched concepts:
Realized Price – Network's cost basis
Top Cap – 35× average historical cap
Delta Top – Gap between Realized Price and Average Cap
CVDD – Cumulative Value Days Destroyed
Terminal Price – Network floor based on age and velocity
Balanced Price – Realized minus Terminal (via regression)
🔹 Advanced Bands for Over/Undervaluation
Around Realized Price, this tool dynamically plots:
Golden Ratio Band (×φ) — "Warm Zone" undervaluation
Euler's e Band (×e) — "Caution Zone" deeper value
Pi Band (×π) — "Overheated" zone when crossed upward
🔹 Built-in Alerts
Alerts fire when:
Price crosses below or above any band
Price drops under Terminal Price
Price recovers above the network floor
🔹 Ideal For
Long-term crypto cycle investors
On-chain analysts
DCA accumulation and distribution timing
Macro-level Bitcoin or ETH valuation zones
⚙️ Setup
Manually enter tickers for Market Cap, Supply, Volume, and Price for your preferred crypto asset.
Adjust CVDD cap (21M for BTC, ~120M for ETH) if analyzing a different coin.
Enable/disable specific valuation layers and alert bands via checkboxes.
Built by OneWallStreetQuant | Dynamic adaptation by Gabriel
Published for educational and cycle analysis use — not financial advice.
Ideal for Daily Charts, since the estimate formula was created on that timeframe.
HTF Candle Overlay with Probability
Visualize Higher Timeframe Candles with Predictive Insights
This tool reconstructs higher-timeframe (HTF) candles using 1-minute bars and overlays them directly on your chart. It includes:
Wick + Body rendering for grouped HTF candles (e.g. 10m, 15m, etc.)
A dynamic label showing the probability of the current HTF candle closing bullish
Real-time updates and smart fading based on candle progress
Configurable colors for fills, outlines, and labels
🔧 Customizable Options:
Candle size (e.g. 10m, 15m)
Body fill and border color
Wick fill and border color
Label text/background color
Whether you're a scalper watching larger structure or a PA trader looking for confluence, this overlay gives you predictive insight where it matters: on the candle that's still forming.
Moving average with different timeThis script allowing you to plot up to 6 different types of moving averages (MAs) on the chart, each with customizable parameters such as type, length, source, color, and timeframe. It also allows you to set different timeframes for each moving average.
Key Features:
Multiple Moving Averages: You can add up to 6 different moving averages to your chart.
Each MA can be one of the following types: SMA, EMA, SMMA (RMA), WMA, or VWMA.
Custom Timeframes: Each moving average can be applied to a specific timeframe, giving you flexibility to compare different periods (e.g., a 50-period moving average on the 1-hour chart and a 200-period moving average on the 4-hour chart).
Customizable Inputs:
Type: Choose between SMA, EMA, SMMA, WMA, or VWMA for each MA.
Source: You can select the price data source (e.g., close, open, high, low).
Length: Set the number of periods (length) for each moving average.
Color: Each moving average can be assigned a specific color.
Timeframe: Customize the timeframe for each moving average individually (e.g., MA1 on 15-minute, MA2 on 1-hour).
User Interface:
The script includes a data window display for each moving average, allowing you to control whether to show each MA and configure its settings directly from the settings menu.
Flexible Use:
Toggle individual moving averages on and off with the show checkbox for each MA.
Customize each MA's parameters without affecting others.
Parameters:
MA Type: You can choose between different moving averages (SMA, EMA, etc.).
Source: Price data used for calculating the moving average (e.g., close, open, etc.).
Length: Defines the period (number of bars) for each moving average.
Color: Change the line color for each moving average for better visualization.
Timeframe: Set a different timeframe for each moving average (e.g., 1-day MA vs. 1-week MA).
Example Use Case:
You might use this indicator to track short-term, medium-term, and long-term trends by adding multiple MAs with different lengths and timeframes. For example:
MA1 (20-period) might be an SMA on a 1-hour chart.
MA2 (50-period) might be an EMA on a 4-hour chart.
MA3 (100-period) might be a WMA on a daily chart.
This setup allows you to visually track the market's behavior across different timeframes and better identify trends, crossovers, and other patterns.
How to Customize:
Show/Hide MAs: Enable or disable each moving average from the input menu.
Modify Parameters: Change the MA type, source, length, and color for each individual moving average.
Timeframes: Set different timeframes for each moving average for more detailed analysis.
With this Moving Average Ribbon, you get a versatile and visually rich tool to aid in technical analysis.
90-Day Beta to BTCOverview:
The 90-Day Beta to BTC indicator measures the volatility of a specific token relative to Bitcoin (BTC) over the past 90 days. Beta is a widely used statistical measure in financial markets that indicates how much a token's price moves in relation to BTC. A higher beta means the token is more volatile compared to BTC, while a lower beta means it is less volatile or moves similarly to BTC.
How It Works:
This indicator calculates the daily logarithmic returns of both the token and Bitcoin, then computes the covariance between their returns and the variance of Bitcoin’s returns. The resulting Beta value reflects the degree to which the token’s price fluctuates relative to Bitcoin's price over the past 90 days.
Beta > 1: The token is more volatile than Bitcoin, showing higher price swings.
Beta = 1: The token moves in lockstep with Bitcoin, exhibiting similar volatility.
Beta < 1: The token is less volatile than Bitcoin, showing smaller price fluctuations.
Beta = 0: The token's price movement is uncorrelated with Bitcoin’s price.
Negative Beta: The token moves opposite to Bitcoin, indicating an inverse relationship.
Use Case:
This indicator is particularly useful for traders or investors looking to identify tokens with high speculative volatility. Tokens with Beta values above 1 are typically high-risk, high-reward assets, often driven by hype, social trends, or market speculation. Conversely, tokens with Beta values below 1 offer a more stable price relationship with Bitcoin, making them less volatile and potentially safer.
In the context of a Trash Token Tournament, tokens with a higher Beta (greater than 1) may be more attractive due to their heightened volatility and potential for larger price swings, making them the “wild cards” of the market.
Visual Representation:
The Beta value is plotted as a line chart beneath the main price chart, offering a visual representation of the token’s volatility relative to Bitcoin over the last 90 days. Spikes in Beta indicate periods of increased volatility, while drops suggest stability.
