CVD Strength | VTS Pro🔷 CVD Strength | VTS Pro
By Alireza Mossaheb
Description:
CVD Strength is a powerful tool designed to analyze market momentum by visualizing the Cumulative Volume Delta (CVD) using advanced techniques. This indicator provides a multi-timeframe view of volume delta behavior and highlights strong and weak bullish/bearish conditions based on volume spikes, candle size, and optional moving average filters.
Key Features:
Multi-timeframe CVD candle plotting with color-coded strength signals
Optional EMA (21), WMA (30), and SMA (50) overlays for trend filtering
Smart strength detection logic using volume, candle size, and moving average crossovers
Bullish and bearish crossover signals marked on chart
Customizable anchor and lower timeframes for flexible analysis
Alerts users when data vendor does not supply volume information
This script is particularly useful for identifying institutional buying/selling pressure and can be used effectively in both trend-following and mean-reversion strategies.
Indicadores de Banda
Custom EMA 5 LinesThis is a Pine Script example for 5 EMAs where each EMA can have a customizable length, and each line is set to 1 pixel width:
CoffeeShopCrypto Supertrend Liquidity EngineMost SuperTrend indicators use fixed ATR multipliers that ignore context—forcing traders to constantly tweak settings that rarely adapt well across timeframes or assets.
This Supertrend is a nodd to and a more completion of the work
done by Olivier Seban ( @olivierseban )
This version replaces guesswork with an adaptive factor based on prior session volatility, dynamically adjusting stops to match current conditions. It also introduces liquidity-aware zones, real-time strength histograms, and a visual control panel—making your stoploss smarter, more responsive, and aligned with how the market actually moves.
📏 The Multiplier Problem & Adaptive Factor Solution
Traditional SuperTrend indicators rely on fixed ATR multipliers—often arbitrary numbers like 1.5, 2, or 3. The issue? No logical basis ties these values to actual market conditions. What works on a 5-minute Nasdaq chart fails on a daily EUR/USD chart. Traders spend hours tweaking multipliers per asset, timeframe, or volatility phase—and still end up with stoplosses that are either too tight or too loose. Worse, the market doesn’t care about your setting—it behaves according to underlying volatility, not your parameter.
This version fixes that by automating the multiplier selection entirely. It uses a 4-zone model based on the current ATR relative to the previous session’s ATR, dynamically adjusting the SuperTrend factor to match current volatility. It eliminates guesswork, adapts to the asset and timeframe, and ensures you’re always using a context-aware stoploss—one that evolves with the market instead of fighting it.
ATR EXAMPLE
Let’s say prior session ATR = 2.00
Now suppose current ATR = 0.32
This places us in Zone 1 (Very Low Volatility)
It doesn’t imply "overbought" or "oversold" — it tells you the market is moving very little, which often means:
Lower risk | Smaller stops | Smaller opportunities (and losses)
🔁 Liquidity Zones vs. Arbitrary Pullbacks
The standard SuperTrend stop loss line often looks like price “barely misses it” before continuing its trend. Traders call this "stop hunting," but what’s really happening is liquidity collection—price pulls back into a zone rich in orders before continuing. The problem? The old SuperTrend doesn’t show this zone. It only draws the outer limit, leaving no visual cue for where entries or continuation moves might realistically originate.
This script introduces 2 levels in the Liquidity Zone. One for Support and one for Stophunts, which draw dynamically between the current price and the SuperTrend line. These levels reflect where the market is most likely to revisit before resuming the trend. By visualizing the area just above the Supertrend stop loss, you can anticipate pullbacks, spot ideal re-entries, and avoid premature exits. This bridges the gap between mechanical stoploss logic and real-world liquidity behavior.
⏳ Prior Session ATR vs. Live ATR
Using real-time ATR to determine movement potential is like driving by looking in your rearview mirror. It’s reactive, not predictive. Traders often base decisions on live ATR, unaware that today’s range is still unfolding —creating volatility mismatches between what’s calculated and what actually matters. Since ATR reflects range, calculating it mid-session gives an incomplete and misleading picture of true volatility.
Instead, this system uses the ATR from the previous session , anchoring your volatility assumptions in a fully-formed price structure . It tells you how far price moved in the last full market phase—be it London, New York, or Tokyo—giving you a more reliable gauge of expected range today. This is a smarter way to estimate how far price could move rather than how far it has moved.
The Smoothing function will take the ATR, Support, Resistance, Stophunt Levels, and the Moving Avearage and smooth them by the calculation you choose.
It will also plot a moving average on your chart against closing prices by the smoothing function you choose.
🧭 Scalping vs. Trending Modes
The market moves in at least 4 phases. Trending, Ranging, Consolidation, Distribution.
Every trader has a different style —some scalp low-volatility moves during off-hours, while others ride macro trends across days. The problem with classic SuperTrend? It treats every market condition the same. A fixed system can’t possibly provide proper stoploss spacing for both a fast scalp and a long-term swing. Traders are forced to rebuild their system every time the market changes character or the session shifts.
This version solves that with a simple toggle:
Scalping or Trend Mode . With one switch, it inverts the logic of the adaptive factor to either tighten or loosen your trailing stops. During low-liquidity hours or consolidation phases, Scalping Mode offers snug stoplosses. During expansion or clear directional bias.
Trend Mode lets the trade breathe. This is flexibility built directly into the logic—not something you have to recalibrate manually.
📉 Histogram Oscillator for Move Strength
In legacy indicators, there’s no built-in way to gauge when the move is losing power . Traders rely on price action or momentum indicators to guess if a trend is fading. But this adds clutter, lag, and often contradiction. The classic SuperTrend doesn’t offer insight into how strong or weak the current trend leg is—only whether price has crossed a line.
This version includes a Trending Liquidity Histogram —a histogram that shows whether the liquidity in the SuperTrend zone is expanding or compressing. When the bars weaken or cross toward zero, it signals liquidity exhaustion . This early warning gives you time to prep for reversals or anticipate pullbacks. It even adapts visually depending on your trading mode, showing color-coded signals for scalping vs. trending behavior. It's both a strength gauge and a trade timing tool—built into your stoploss logic.
Histogram in Scalping Mode
Histogram in Trending Mode
📊 Visual Table for Real-Time Clarity
A major issue with custom indicators is opacity —you don’t always know what settings or values are currently being used. Even worse, if your dynamic logic changes mid-trade, you may not notice unless you go digging into the code or logs. This can create confusion, especially for discretionary traders.
This SuperTrend solves it with a clean visual summary table right on your chart. It shows your current ATR value, adaptive multiplier, trailing stop level, and whether a new zone size is active. That means no surprises and no second-guessing—everything important is visible and updated in real-time.
MSTR Premium/Discount Analyzer by Marius1032)This indicator provides a transparent, real-time framework for evaluating MicroStrategy Inc. (MSTR) based on its two primary value components:
Bitcoin Holdings (Mark-to-Market)
Core Enterprise Value (ex-Bitcoin)
By calculating the Net Asset Value (NAV) per share from both segments, the indicator enables accurate assessment of whether MSTR is trading at a premium or discount relative to its fundamental value.
📊 Key Metrics Displayed on Chart
MSTR Share Price (Close)
BTC NAV per Share (Holdings × BTC price ÷ Shares Outstanding)
Core NAV per Share (Enterprise Value ÷ Shares Outstanding)
Total NAV per Share (BTC + Core)
Premium / Discount % (Market deviation from NAV)
Manual Timestamp for last data input (auditable)
Input data taken from www.gurufocus.com finance.yahoo.com
🔧 Customizable Inputs
BTC Holdings (default: 592,345 BTC)
BTC Price (manually updated)
Shares Outstanding (default: 266M)
Core Enterprise Value (EV ex-BTC)
Data Timestamp (manual)
🧠 Valuation Logic
The script separates MSTR’s market value into:
Digital Asset Treasury — fully marked to market via BTC price input.
Core Software/Analytics Business — approximated using total enterprise value less BTC exposure.
This two-part decomposition provides a cleaner NAV structure than traditional book value, which is often distorted by high intangible assets (MSTR’s tangible book value is negative as of Q2 2025).
⚠️ Disclosures
All inputs are manual — ensure accuracy by updating with the latest BTC prices and EV disclosures.
Core EV is treated as a constant unless updated, and does not include BTC or speculative adjustments.
Does not model future BTC acquisitions or operational leverage.
TR37The 377-day EMA is a long-term trend indicator, giving more weight to recent prices compared to an SMA. Traders may use it to:
Identify long-term trends (e.g., price above EMA = bullish, below = bearish).
Spot potential support/resistance levels.
Confirm trend direction for swing or position trading.
BTC Transaction Indicator Name: "Bitcoin On-Chain Volume & Dynamic Parabolic Curve Signals"
Purpose:
This indicator is designed for Bitcoin traders and long-term holders. It combines the analysis of Bitcoin's on-chain transaction volume with price action to generate "Whale" and "Bear" signals. Additionally, it features a unique dynamic parabolic curve that acts as a visual support line, adapting its visibility based on price interaction with a key Exponential Moving Average (EMA).
Key Components:
On-Chain Volume Analysis:
Utilizes Estimated Transaction Volume (ETRAV) data from the Bitcoin blockchain.
Calculates fast and slow Simple Moving Averages (SMAs) of this volume.
Identifies volume trends (up/down) and significant volume increases/decreases.
Employs fixed thresholds (2,500,000 for low volume and 25,000,000 for high volume) to define key activity levels, similar to how historical on-chain analysis defined accumulation and distribution zones.
Price Action Analysis:
Calculates fast and slow SMAs of the price.
Detects price trends (up/down), recoveries, and declines based on these price SMAs.
"Whale" and "Bear" Signals:
Whale Signals (Buy-side): Generated when there's an upward volume trend, significant volume increase, and a downward price trend followed by price recovery. These indicate potential accumulation phases.
Bear Signals (Sell-side): Generated when there's a downward volume trend, significant volume decrease, and an upward price trend followed by price decline. These indicate potential distribution phases.
Visuals: Both types of signals are plotted as small, colored circles directly on the price chart, with corresponding text labels ("Whale," "Buy," "Bear," "Sell," "Price Recovering," "Price Declining").
Dynamic Parabolic Curve:
Concept: A green parabolic (exponential) curve that serves as a dynamic visual support line.
Activation: The curve starts drawing automatically only when the price crosses over the EMA 500 (Exponential Moving Average of 500 periods). The curve's starting point is set at a user-defined percentage below the EMA 500 value at that exact crossover point.
Visibility: The curve remains visible and continues its trajectory only as long as the price stays above the EMA 500.
Deactivation: The curve disappears instantly if the price falls below or equals the EMA 500. It will only reappear if the price crosses above the EMA 500 again.
Customization: The curve's steepness (Tasa Crecimiento Curva) and its initial distance from the EMA 500 (Inicio Curva % por debajo de EMA500) are adjustable.
Dynamic Label: A "Parabólico" text label is plotted near the center of the active curve segment, with an adjustable vertical offset to ensure it stays visually appealing below the curve.
What is PLOTTED on the chart:
The small, colored circle signals for Whale/Buy and Bear/Sell activity.
The green dynamic parabolic curve.
What is NOT PLOTTED:
EMA 200, EMA 500 lines (though they are calculated internally for logic).
Raw volume data or volume Moving Averages (these are only used for signal calculation, not plotted).
Ideal for:
Bitcoin traders and investors focused on long-term trends and cycle analysis, who want visual cues for accumulation/distribution phases based on on-chain activity, complemented by a unique, dynamically appearing parabolic support curve.
Important Notes:
Relies on the availability of external on-chain data (QUANDL:BCHAIN) within TradingView.
Functions best on a daily timeframe for optimal on-chain data relevance.
Super PerformanceThe "Super Performance" script is a custom indicator written in Pine Script (version 6) for use on the TradingView platform. Its main purpose is to visually compare the performance of a selected stock or index against a benchmark index (default: NIFTYMIDSML400) over various timeframes, and to display sector-wise performance rankings in a clear, tabular format.
Key Features:
Customizable Display:
Users can toggle between dark and light color themes, enable or disable extended data columns, and choose between a compact "Mini Mode" or a full-featured table view. Table positions and sizes are also configurable for both stock and sector tables.
Performance Calculation:
The script calculates percentage price changes for the selected stock and the benchmark index over multiple periods: 1, 5, 10, 20, 50, and 200 days. It then checks if the stock is outperforming the index for each period.
Conviction Score:
For each period where the stock outperforms the index, a "conviction score" is incremented. This score is mapped to qualitative labels such as "Super solid," "Solid," "Good," etc., and is color-coded for quick visual interpretation.
Sector Performance Table:
The script tracks 19 sector indices (e.g., REALTY, IT, PHARMA, AUTO, ENERGY) and calculates their performance over 1, 5, 10, 20, and 60-day periods. It then ranks the top 5 performing sectors for each timeframe and displays them in a sector performance table.
Visual Output:
Two tables are constructed:
Stock Performance Table: Shows the stock's returns, index returns, outperformance markers (✔/✖), and the difference for each period, along with the overall conviction score.
Sector Performance Table: Ranks and displays the top 5 sectors for each timeframe, with color-coded performance values for easy comparison.
Top 5 Sector Performancehe indicator creates a table showing:
Top 5 performing sectors for 3 timeframes: 1-day, 10-day, and 20-day periods
Performance data including sector name and percentage change
Color-coded results: Green (positive), Red (negative), Gray ("N/A" for missing data)
Key Features
Table Structure:
Columns: Rank | 1-Day | 10-Day | 20-Day
Rows: Top 5 sectors for each timeframe
Header: Dark gray background with white text
Rows: Alternating dark gray shades for readability
NEIROCTO Impulse Watcher (Alert Ready)//@version=5
indicator("NEIROCTO Combo Watcher (Pump vs Dump)", overlay=true)
// === RSI и его производные ===
rsi = ta.rsi(close, 14)
rsi_sma = ta.sma(rsi, 5)
rsi_up = rsi > rsi_sma
rsi_down = rsi < rsi_sma
// === Волатильность ===
volatility = math.abs(close - close ) / close * 100
volatility_trigger = volatility > 3
// === Объёмы ===
volume_sma = ta.sma(volume, 20)
volume_up = volume > volume_sma
// === Условие пампа ===
pump_condition = rsi > 45 and rsi_up and volatility_trigger and volume_up
// === Условие отката ===
dump_condition = rsi < 40 and rsi_down and volatility_trigger and volume_up
// === Фон ===
bgcolor(pump_condition ? color.new(color.green, 85) : na)
bgcolor(dump_condition ? color.new(color.red, 85) : na)
// === Метки ===
plotshape(pump_condition, title="🚀 PUMP Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="🚀")
plotshape(dump_condition, title="⚠️ DUMP Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="⚠️")
// === Алерты ===
alertcondition(pump_condition, title="🚀 NEIROCTO: Возможен памп!", message="🚀 RSI ↑, Волатильность >3%, Объёмы высокие — возможен памп!")
alertcondition(dump_condition, title="⚠️ NEIROCTO: Возможен откат!", message="⚠️ RSI ↓, Волатильность >3%, объёмы растут — возможен откат!")
Stock Performance Dashboard + Sector PerformanceThis indicator, Stock Performance Dashboard + Sector Performance, provides a comprehensive visual analysis of both individual stock performance and sectoral trends directly on your TradingView chart.
Key Features:
Performance Dashboard Table:
Displays the stock’s returns over multiple timeframes (1, 5, 10, 20, 50, 200 days) and compares them to a selected benchmark index (default: NIFTYMIDSML400).
Highlights whether the stock is outperforming the index for each period, shows the difference in performance, and includes an RSI (Relative Strength Index) column for additional momentum insight.
Calculates and displays a “conviction” score and level based on how often the stock outperforms the index across periods.
Sector Performance Table:
Ranks and displays the top-performing sectors from a predefined list of major NSE sector indices over four key periods (1D, 5D, 30D, 50D).
For each period, the top 5 sectors are shown, with color-coded performance for quick visual assessment.
Customization:
Includes options for dark/light mode, table size, position, and which columns to display.
Supports a compact “mini mode” for simplified visualization.
Usage:
This tool is ideal for traders and investors who want a quick, at-a-glance comparison of a stock’s short- and long-term momentum versus its benchmark, as well as a live snapshot of sector rotation and leadership in the Indian market. All data is presented in clear, color-coded tables for actionable decision-making.
Señal Divina 2If 1 point is worth \$12.50, you're trading the **E-mini S\&P 500 Futures (symbol: ES)**. Each tick is 0.25 points and worth \$12.50, so 1 full point = 4 ticks = \$50. This means you're trading 1 contract of ES, not the Micro (MES), which is only \$1.25 per tick.
If 1 point is worth \$12.50, you're trading the **E-mini S\&P 500 Futures (symbol: ES)**. Each tick is 0.25 points and worth \$12.50, so 1 full point = 4 ticks = \$50. This means you're trading 1 contract of ES, not the Micro (MES), which is only \$1.25 per tick.
Stock Performance DashboardStock Performance Dashboard
This indicator provides a compact, color-coded table comparing the performance of the current stock to a benchmark index across multiple timeframes: 1, 5, 10, 20, 50, and 200 days.
Columns: Period, Stock %, Index %, Outperforming (✔/✖), and Difference.
Conviction Score: The last row summarizes overall outperformance as a “conviction” level (e.g., Super solid, Solid, Good, Ok, Needs improv., Poor).
Mini Mode: For a quick view, Mini Mode shows only the period and outperformance status.
Customizable: Supports dark/light mode, table size, position, and optional difference column.
Space Efficient: Short headers and a minimized layout make it easy to add more info or columns in future versions.
How to use:
Add the indicator to any chart. Adjust settings in the indicator panel to change the benchmark index, enable mini mode, or reposition the table.
Ideal for:
Traders who want a fast, at-a-glance summary of how a stock is performing against its benchmark across key timeframes, directly on the chart.
Stacked EMA Confirmation//@version=5
indicator(" Stacked EMA Confirmation", overlay=false)
//This script plots a green circle on top of the chart when the EMAs are stacked positively, a red circle if they are stacked negatively and gray if neither positively nor negatively
//The EMAs used are:
//8 EMA
//13 EMA
//21 EMA
//Useful when you look for a quick and easy way to see if these EMAs are stacked positively or negatively as a confirmation
//Default 100 bars back, but that can be adjusted.
StackedLookback = input(100, "How many bars back to show")
ema8 = ta.ema(close, 8)
ema13 = ta.ema(close, 13)
ema21 = ta.ema(close, 21)
conditionMet = ema8 > ema13 and ema13 > ema21
negativeConditionMet = ema8 < ema13 and ema13 < ema21
circleColor = conditionMet ? color.green : negativeConditionMet ? color.red : color.gray
plotshape(series=close, color=circleColor, style=shape.circle, title="Circle", location=location.top, display=display.pane, size=size.auto, show_last=StackedLookback)
SOFIA - Kısa Vade Saldırı GöstergesiOf course babe! 😎 Here's a clean, simple **English version** of the explanation you can use for social media. Short, punchy, and sounds smart without being boring. Ready? 💥
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## 🔥 **SOFIA – Short-Term Attack Indicator (USDT Dominance Edition)**
This custom TradingView indicator helps you **spot market reversals** and **short-term trends** in USDT Dominance. It's designed for crypto traders who want to know:
> ❓ “Is capital flowing into altcoins or fleeing to USDT?”
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### 🧩 **What’s Inside?**
1. ### 🌀 **Stochastic RSI (Background Colors)**
* 🔴 **Red background** = USDT overbought → might drop soon → altcoins may pump
* 🟢 **Green background** = USDT oversold → could bounce → market correction risk
---
2. ### 📉 **Supertrend (Buy/Sell Labels on Chart)**
* 🟢 **BUY label** = Trend turning bullish → USDT gaining dominance
* 🔴 **SELL label** = Trend turning bearish → USDT losing dominance → risk-on mode
---
3. ### ⚡ **WaveTrend Cross (Circles)**
* 🟢 **Green circle** = Potential bullish reversal
* 💜 **Pink circle** = Possible bearish pullback
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4. ### 🟩🟥 **Trend Label ("BULL MODE" / "BEAR MODE")**
* Visual status of the current trend:
* **BULL MODE** = USDT dominance rising → market cooling
* **BEAR MODE** = USDT dominance dropping → altcoin opportunities may emerge
---
### ⏱️ Best Used On:
* **15m / 30m / 1H timeframes**
* Especially helpful for **altcoin entry/exit timing**
---
### ✅ What to Do With It:
* If USDT dominance starts dropping → **look for altcoin entries**
* If USDT dominance flips bullish → **protect your gains or reduce risk**
---
🔔 Built for scalpers, swing traders & crypto snipers.
📊 Just plug it into your chart and let Sofia whisper market direction to you.
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**Want the code or setup tutorial?**
DM me or drop a 💚 and I’ll share it 👇
\#CryptoTrading #USDTDominance #TradingView #AltcoinSeason #CryptoTools #SofiaIndicators
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Let me know if you'd like a **carousel format (multi-slide)** version for Instagram/LinkedIn or an **infographic style** breakdown — I can generate that too!
The SW Volume IndicatorWhitwell testing purposes to test some things. Uses metrics to make changes on chart.
Liquidity Zones (JTS)Title: Liquidity Zones (JTS)
Description:
This script marks out key liquidity zones using pivot highs and lows. It includes:
Buy-Side Liquidity (Highs): Shown in red lines
Sell-Side Liquidity (Lows): Shown in green lines
Sweep Protection: Zones will only be removed after a defined number of bars AND a true sweep beyond the level
Toggle Controls: Enable/disable highs or lows individually
Adjustable Settings: Pivot length, sweep delay, max lines, and colors
Perfect for traders looking to track untapped or recently swept liquidity.
Created by JTS
For educational and strategic use
First 15-Min Candle High/Low with Breakout AlertsDescription (for Publishing on TradingView):
This Pine Script automatically plots the high and low of the first 15-minute candle of each trading day.
✅ Features:
🟢 Green horizontal line for High
🔴 Red horizontal line for Low
Automatically resets each day
Designed for Indian markets (IST), with market open at 09:15 AM
💡 These levels are commonly used by intraday traders as breakout zones, support/resistance, or reference points for scalping and price action strategies.
📊 Best Used On:
1-min, 5-min, or 15-min timeframes
Instruments like Bank Nifty, Nifty, major NSE stocks, and global markets with adjustable timing
📌 For custom time zones, adjust the session timestamps.
Mongoose EMA Ribbon — Pro EditionMongoose EMA Ribbon — Pro Edition
The Mongoose EMA Ribbon is a precision tool designed to support directional bias, trend integrity, and momentum alignment through a structured multi-EMA system. It is built for traders seeking clarity across high-timeframe trend conditions without sacrificing speed or simplicity.
Key Features:
Five customizable EMAs optimized for layered ribbon analysis
Configurable color logic for clean visual separation
Built-in ribbon compression and expansion visibility
Support for ribbon-based trend continuation zones
Optional label and visual tag for real-time trend state
Applications:
Identify trend strength and reversals with ribbon alignment
Detect compression zones that precede directional moves
Support discretionary or system-based trading strategies
Integrates well with price structure and macro overlays
This script is part of the Mongoose Capital toolkit and was developed to meet internal standards for clarity, execution readiness, and cross-asset compatibility.
Version: Pro Edition
Timeframes: Optimized for 1H, 4H, Daily, Weekly
Niveaux Dealers + Previous M W D📊 TradingView Script – Dealers Levels & Previous D/W/M
🔹 General Purpose:
This advanced script provides a clear view of key market levels used by professional traders for scalping, day trading, and technical analysis. It combines manual levels (Dealer) set by the user with automated levels based on the previous day, week, and month’s highs and lows.
⸻
🧩 1. Dealers Levels Module (Manual)
✅ Features:
• Displays 28 customizable levels, grouped into 4 categories:
• Maxima: Buyer Control, Max Day, Max Event, Max Extreme
• Minima: Seller Control, Min Day, Min Event, Min Extreme
• Call Resistance: 10 user-defined levels
• Pull Support: 10 user-defined levels
🎨 Customization:
• Each level’s value is manually entered
• Line color, style, and thickness can be customized
• Display includes transparent labels with a clean design
🔧 Options:
• Line extension configurable:
• To the left: from 1 to 499 bars
• To the right: from 1 to 100 bars
• Label display can be toggled on/off
⸻
🧩 2. Previous Daily / Weekly / Monthly Levels Module (Automatic)
✅ Features:
• Automatically detects and plots:
• Previous Daily High / Low
• Previous Weekly High / Low
• Previous Monthly High / Low
🎯 Technical Details:
• Accurate calculation based on closed periods
• Dynamically extended lines (past and future projection)
• Labels aligned with the right-hand extension of each line
🎨 Customization:
• Each level has configurable color, line style, and thickness
• Labels use rectangle style with transparent background
⸻
⚙ Global Script Settings:
• Toggle display of labels (✔/❌)
• Configurable left extension (1–499) and right extension (1–100)
• Settings panel organized into groups for clarity and ease of use
⸻
💡 Usefulness:
This script provides traders with a precise map of price reaction zones, combining fixed institutional zones (Dealer levels) with dynamic historical levels (D/W/M). It’s ideal for intraday strategies on indices (e.g., Nasdaq), crypto, or forex markets.
Ultimate Regression Channel v5.0 [WhiteStone_Ibrahim]Ultimate Regression Channel v5.0: Comprehensive User Guide
This indicator is designed to visualize the current trend, potential support/resistance levels, and market volatility through a statistical analysis of price action. At its core, it plots a regression line (a trend line) based on prices over a specific period and adds channels based on standard deviation around this line.
1. Core Features and Settings
Length Mode:
Numerical (Manual): You define the number of bars to be used for the regression channel calculation. You can use lower values (e.g., 50-100) for short-term analysis and higher values (e.g., 200-300) to identify long-term trends.
Automatic (Based on Market Structure): This mode automatically draws the channel starting from the highest high or lowest low that has formed within the Auto Scan Period. This allows the indicator to adapt itself to significant market turning points (swing points), which is highly useful.
Regression Model:
Linear: Calculates the trend as a straight line. It generally works well in stable, short-to-medium-term trends.
Logarithmic: Calculates the trend as a curved line. It more accurately reflects price action, especially on long-term charts or for assets that experience exponential growth/decline (like cryptocurrencies or growth stocks).
Channel Widths:
These settings determine how far from the central trend line (in terms of standard deviations) the channels will be drawn.
The 0 (Inner), 1 (Middle), and 2 (Outer) channels represent the "normal" range of price movement and the "extreme" zones. Statistically, about 95% of all price action occurs within the outer channels (2nd standard deviation).
2. Visual Extras and Their Interpretation
Breakout Style:
This feature alerts you when the price closes above the uppermost channel (Channel 2) with a green arrow/background or below the lowermost channel with a red arrow/background.
This is a very important signal. A breakout can signify that the current trend is strengthening and likely to continue (a breakout/trend-following strategy) or that the market has become overextended and may be due for a reversal (an exhaustion/top-bottom signal). It is critical to confirm this signal with other indicators (e.g., RSI, Volume).
Info Label:
This provides an at-a-glance summary of the channel on the right side of the chart:
Trend Status: Identifies the trend as "Uptrend," "Downtrend," or "Sideways" based on the slope of the centerline. The Horizontal Threshold setting allows you to filter out noise by treating very small slopes as "Sideways."
Regression Model and Length: Shows your current settings.
Trend Slope: A numerical value representing how steep or weak the trend is.
Channel Width: Shows the price difference between the outermost channels. This is a measure of current volatility. A widening channel indicates increasing volatility, while a narrowing one indicates decreasing volatility.
3. What Users Should Pay Attention To & Best Practices
Define Your Strategy: Mean Reversion or Breakout?
Mean Reversion: If the market is in a ranging or gently trending phase, the price will tend to revert to the centerline after hitting the outer channels (overbought/oversold zones). In this case, the outer channels can be considered opportunities to sell (upper channel) or buy (lower channel).
Breakout: If a strong trend is in place, a price close beyond an outer channel can be a sign that the trend is accelerating. In this scenario, one might consider taking a position in the direction of the breakout. Correctly analyzing the current market state (ranging vs. trending) is key to deciding which strategy to employ.
Don't Use It in Isolation: No indicator is a holy grail. Use the Regression Channel in conjunction with other tools. Confirm signals with RSI divergences for overbought/oversold conditions, Moving Averages for the overall trend direction, or Volume indicators to confirm the strength of a breakout.
Choose the Right Model: On shorter-term charts (e.g., 1-hour, 4-hour), the Linear model is often sufficient. However, on long-term charts like the daily, weekly, or monthly, the Logarithmic model will provide much more accurate results, especially for assets with parabolic movements.
The Power of Automatic Mode: The Automatic length mode is often the most practical choice because it finds the most logical starting point for you. It saves you the trouble of adjusting settings, especially when analyzing different assets or timeframes.
Use the Alerts: If you don't want to miss the moment the price touches a key channel line, set up an alert from the Alert Settings section for your desired line (e.g., only the "Outer Channels"). This helps you catch opportunities even when you are not in front of the screen.
Failed 2U/2D + 50% Retrace Scanner📈 Multi-Ticker Failed 2U/2D Scanner with Daily Retrace & Market Breadth Table
This TradingView indicator is a multi-symbol price action scanner designed to catch high-probability reversal signals using The Strat’s failed 2U/2D patterns and daily 50% retrace logic, while also displaying market breadth metrics ( USI:TICK and USI:ADD ) for context.
Monitored Symbols:
SPY, SPX, QQQ, IWM, NVDA, AMD, AAPL, META, MSTR
🔍 Detection Logic
1. Failed 2U / Failed 2D Setups
Failed 2U: Price breaks above the previous candle’s high but closes back below the open → Bearish reversal
Failed 2D: Price breaks below the previous candle’s low but closes back above the open → Bullish reversal
Timeframes Monitored:
🕐 1-Hour (1H)
⏰ 4-Hour (4H)
2. Daily 50% Candle Retrace
Checks if price has retraced 50% or more of the previous day’s candle body
Highlights potential trend exhaustion or reversal confluence
3. Market Breadth Metrics (Display Only)
USI:TICK : Measures real-time NYSE up vs. down ticks
USI:ADD : Advance-Decline Line (net advancing stocks)
Not used in signal logic — just displayed in the table for overall market context
🖼️ Visual Elements
✅ Chart Markers
🔺 Red/Green Arrows for 1H Failed 2U/2D
🟨 Yellow Squares for 4H Failed 2U/2D
Visual markers are plotted directly on the relevant candles
📊 Signal Table
Lists all 9 tickers in rows
Columns for:
1H Signal
4H Signal
Daily 50% Retrace
USI:TICK Value
USI:ADD Value
Color-Coded Cells:
🔴 Red = Failed 2U
🟢 Green = Failed 2D
⚠️ Highlight if 50% Daily Retrace condition is true
🟦 Neutral-colored cells for TICK/ADD numeric display
🔔 Alerts
Hardcoded alerts fire when:
A 1H or 4H Failed 2U/2D is detected
The Daily 50% retrace condition is met
Each alert is labeled clearly by symbol and timeframe:
"META 4H Failed 2D"
"AAPL Daily 50% Retrace"
🎯 Use Case
Built for:
Reversal traders using The Strat
Swing or intraday traders watching hourly setups
Traders wanting quick visual context on market breadth without relying on it for confirmation
Monitoring multiple tickers in one clean view
This is scan 2
Add scan 1 for spx, spy, iwm, qqq, aapl
This indicator is not financial advice. Use the alerts to check out chart and when tickers trigger.
Auto-Fibonacci Levels [ChartWhizzperer]Auto-Fibonacci Levels
Discover one of the most elegant and flexible Fibonacci indicators for TradingView – fully automatic, tastefully understated, and built entirely in Pine Script V6.
Key Features:
- Automatically detects the most recent swing high and swing low.
- Plots Fibonacci retracement levels and extensions (including 161.8%, 261.8%) perfectly aligned
to the prevailing trend.
- Distinctive, dashed lines with crystal-clear price labels right at the price scale
for maximum clarity.
- Line length and label offset are fully customisable for your charting preference.
- Absolutely no repainting: Only confirmed swings are used for reliable signals.
- Parameter: "Swing Detection Length"
The “Swing Detection Length” parameter determines how many bars must appear to the left and right of a potential high or low for it to be recognised as a significant swing point.
- Higher values make the script less sensitive (only major turning points are detected).
- Lower values make it more responsive to minor fluctuations (more fibs, more signals).
For best results, adjust this setting according to your preferred timeframe and trading style.
Pro Tip:
Fibonacci levels refresh automatically whenever a new swing is confirmed.
Ideal for price action enthusiasts and Fibonacci purists alike.
Licence:
// Licence: CC BY-NC-SA 4.0 – Non-commercial use only, attribution required.
// © ChartWhizzperer
OBV Strength Relative to Volume (Lakhs View)OBV Strength Relative to Volume (Lakhs View)
Description:
to provide a compact yet powerful insight into volume momentum and price conviction. It's tailored for traders and analysts in markets like India, where high-volume stocks are often better interpreted in lakhs.
💡 Key Features:
OBV Calculation: Cumulative OBV is computed based on price movement direction and volume contribution.
OBV Strength (%): Measures the percentage strength of OBV relative to total volume over a user-defined period. It reflects how strongly volume is contributing to price movements.
Lakhs View: Both OBV and Volume are scaled to lakhs for cleaner readability and practical analysis in high-volume securities.
Historical Table Display:
Displays date-wise OBV, Volume, and OBV Strength for the last N candles (customizable).
Automatically updates every 5 bars or on each bar for real-time analysis.
Color-coded cells for quick visual recognition.
⚙️ Inputs:
OBV Strength Period: Number of bars used to calculate OBV strength (default = 5).
Number of Days in Table: Number of recent bars shown in the on-chart table (default = 5).
📈 Plots:
OBV (Lakhs) – Aqua line.
Volume (Lakhs) – Orange columns.
OBV Strength (%) – Green line indicating momentum strength based on volume.
📍 Ideal Use:
Use this indicator to:
Spot divergences between OBV and price.
Assess the strength of volume behind a trend.
Track consistency and spikes in volume-backed price moves.
Quickly scan recent trends with a clear numerical and visual table.
