Supply/Demand HTF (RBD/DBR) – FIX + DebugOverview:
This indicator automatically detects and plots institutional supply and demand zones on any timeframe.
It analyzes price action to identify Drop-Base-Rally (DBR) and Rally-Base-Drop (RBD) structures — the core formations of supply and demand trading.
How It Works
1. The script scans price candles to detect “base” formations — small consolidation candles between impulsive moves.
2. When it finds a valid base followed by a strong move, it marks that area as:
• 🟩 Demand Zone (DBR): price dropped → consolidated → rallied upward
• 🟥 Supply Zone (RBD): price rallied → consolidated → dropped downward
3. Each detected zone is extended to the right so you can see if price returns to it later.
Color
Meaning
Description:
🟩 Green Zone
Demand
Institutional buy area (potential bullish reversal)
🟥 Red Zone
Supply
Institutional sell area (potential bearish reversal)
🟦 Blue Box
(Debug) HTF candle box used for internal analysis — can be hidden
🟡 Yellow Fill
Zone has been touched by price (reactivated)
Usage
• Works best when detecting zones from H4 or H1 and trading confirmations on M5 or M15.
• Ideal for institutional-style or “Smart Money Concepts” traders.
• Zones are auto-updated as new structures appear.
Phân tích Cơ bản
Seasonality Range Marker For better Seasonality Analysation. To see Seasionality patterns in the chart.
EMAs 4/8/15 + Classic Pivots (clean v5)Here is a clean code for people to use, hope it works well for you. 4/8/15 are key indicators. You first got to be on the right side or upside of the 15 and then you need to see a detachment from the 4/8. You will see that is when upward movement happens. for shorting, you need to be below the 4/8 and usually on the under of 15.
FVG / FRACTALS HELPERTG: imjustdanya
Индикатор автоматически находит фракталы/имбалансы на выбранных таймфреймах
Можно настраивать всё,от внешнего вида, до количества отображаемых объектов
Экономит много времени,и очень эффективен при интрадей торговле в стратегии Price Action
The indicator automatically detects fractals and imbalances on selected timeframes.
You can customize everything — from appearance to the number of displayed objects.
It saves a lot of time and is highly effective for intraday trading within a Price Action strategy.
Stablecoin to BTC Market Cap RatioThis indicator calculates the ratio of the combined market capitalization of USDT and USDC stablecoins to the market capitalization of BTC. Data is updated daily from TradingView's CRYPTOCAP sources. It is displayed as a line in a separate panel, allowing analysis of stablecoin liquidity dynamics relative to BTC.
How to Use
Add the indicator to any asset chart in TradingView. It is useful for assessing the potential buying power of stablecoins in the cryptocurrency market. High ratio values may signal accumulation of liquidity in stablecoins, often preceding growth in BTC or altcoins (bullish signal). Low values indicate a decrease in the role of stablecoins, which may be bearish. It is recommended to combine with other indicators, such as RSI or volumes, to confirm trends.
Adjustable ORB Indicator [V.4]A customizable opening range indicator.
Adjust the following using this indicator;
~ Sessions
~ OR time settings
~ Colors
~ And more to come.
Adjustable ORB Indicator [V.4]A customizable opening range indicator.
Adjust the following using this indicator;
~ Sessions
~ OR time settings
~ Colors
~ And more to come.
FVG / FRACTALS HELPERTG: imjustdanya
Индикатор автоматически находит фракталы/имбалансы на выбранных таймфреймах
Можно настраивать всё,от внешнего вида, до количества отображаемых объектов
Экономит много времени,и очень эффективен при интрадей торговле в стратегии Price Action
The indicator automatically detects fractals and imbalances on selected timeframes.
You can customize everything — from appearance to the number of displayed objects.
It saves a lot of time and is highly effective for intraday trading within a Price Action strategy.
S&P500 Earnings Dashboard (automiamo.com)Hello everyone,
this is the table I use to track the earnings performance of the top 40 companies in the S&P 500.
I am using this simple method in Pinescript to extract data.
Example for Apple's earnings:
= request.security("ESD_FACTSET:" + "NASDAQ" + ";" + "AAPL" + ";EARNINGS", "D", )
You can see aggregated data on TradingView in a table and then I send a further short synthesis (like overall percentage of companies that beat analyst estimates) to my website with a TradingView alert
WM & HS Radar (Block-Free)The W/M + H&S Radar automatically scans for double-top/double-bottom (M and W) and head-and-shoulders style reversal structures across any timeframe.
How it works:
Detects repeating pivot formations that resemble W (double bottom) or M (double top) structures.
Draws neckline levels for each pattern and highlights potential breakout points.
Confirms breakout validity when price closes beyond the neckline (optionally requiring a 1.2× volume surge).
Generates alerts when a valid W Long or M Short trigger occurs.
Best used on: 15m, 1h, or 4h charts to identify medium-term reversal entries.
Recommended companion: Orion Daily HL + Volume indicator for higher-timeframe context.
Alert Options:
“W Long Trigger” → Bullish reversal breakout.
“M Short Trigger” → Bearish reversal breakout.
Usage Tip:
Combine with your support/resistance zones and ATR-based stop sizing from your Money Momentum Tracker to validate A-setups only.
IRONBULL FX AMD📌 Power Of 3 ICT 01 – AMD ICT & SMC Accumulations
Overview:
The Power Of 3 ICT 01 indicator by TradingFinder is designed to visually map out the classic Accumulation–Manipulation–Distribution (AMD) phases of price behavior, based on ICT (Inner Circle Trader) and Smart Money Concepts (SMC) principles. It helps traders recognize the underlying structure of the trading day using session-based detection aligned to the New York timezone.
🔍 Core Logic:
This script divides each trading day into three logical phases:
Accumulation (19:00–01:00 EST)
The period when institutions quietly build positions within a tight range.
Manipulation (01:00–07:00 EST)
False moves designed to induce retail participation in the wrong direction.
Distribution (07:00–13:00 EST)
The actual directional move after trapping liquidity.
These zones are visually marked on the chart using colored transparent boxes, with labels for clear identification.
🛠️ Key Features:
Session-Based Detection:
Uses Pine Script’s time() function to identify when the chart time falls within each of the defined AMD sessions.
Automatic High/Low Range Detection:
For each phase, the indicator tracks the highest high and lowest low within the session window to draw a price range box.
Visual Markers:
Distinct labels and shaded boxes are plotted for each zone:
🔹 Accumulation → Blue
🔸 Manipulation → Orange
🟢 Distribution → Cyan
Fully Customizable Settings:
Each phase’s visibility, session time, and color can be adjusted from the input panel.
📈 Ideal Use Case:
For traders following ICT/SMC methodology
For intraday structure mapping
To combine with other tools like Order Blocks, FVGs, or session breakouts
⚙️ Customization Options:
✅ Toggle visibility for each phase independently
🕒 Modify session start/end times
🎨 Choose custom colors for phase boxes and labels
⚠️ Note: Best used on intraday timeframes (60 min or lower). The indicator is optimized for charts set to the America/New_York timezone.
Trappp's Advanced Multi-Timeframe Trading ToolkitTrappp's Advanced Multi-Timeframe Trading Toolkit
This comprehensive trading script by Trappp provides a complete market analysis framework with multiple timeframe support and resistance levels. The indicator features:
Key Levels:
· Monthly (light blue dashed) and Weekly (gold dashed) levels for long-term context
· Previous day high/low (yellow) with range display
· Pivot-based support/resistance (pink dashed)
· Premarket levels (blue) for pre-market activity
Intraday Levels:
· 1-minute opening candle (red)
· 5-minute (white), 15-minute (green), and 30-minute (purple) session levels
· All intraday levels extend right throughout the trading day
Technical Features:
· EMA 50/200 cross detection with alert labels
· Candlestick pattern recognition near key levels
· Smart proximity detection using ATR
· Automatic daily/weekly/monthly updates
Trappp's script is designed for traders who need immediate visual reference of critical price levels across multiple timeframes, helping identify potential breakouts, reversals, and pattern-based setups with clear, color-coded visuals for quick decision-making.
CB Spot v BN Futs Premium by Chop324Coinbase Spot vs Binance Futures Premium Tracker
What This Indicator Does:
This indicator automatically tracks the price premium or discount between Coinbase spot prices and Binance perpetual futures for any cryptocurrency you're viewing. It works dynamically with whatever ticker you load it on - no manual configuration needed.
How It Works:
The script extracts the base currency from your current chart (BTC, ETH, SOL, etc.) and automatically constructs the corresponding tickers:
Coinbase Spot: COINBASE: USD
Binance Perpetual Futures: BINANCE: USDT.P
It then calculates the simple price difference: Coinbase Spot - Binance Futures
Visual Display:
The premium/discount is plotted as a histogram:
Green columns: Coinbase trading at a premium (higher than Binance)
Red columns: Coinbase trading at a discount (lower than Binance)
Baseline at 0: Represents price parity between exchanges
Why This Matters:
Coinbase premium is a useful market sentiment indicator, particularly for institutional/US retail activity:
Positive premium: Often indicates strong US-based buying pressure
Negative premium: May suggest selling pressure or capital flowing to offshore exchanges
Extreme deviations: Can signal localized supply/demand imbalances or arbitrage opportunities
Usage:
Simply load the indicator on any crypto chart (BTCUSDT, ETHUSDT, SOLUSDT, etc.) and it will automatically display the premium/discount for that asset.
Note: Requires both Coinbase spot and Binance perpetual futures data to be available for the symbol you're viewing.
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does
It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics.
This reveals deep conviction among long-term ETH holders
Core Concept: Direct 6-Month Dormancy
The indicator uses two precise on-chain signals:
Total Unique ETH Addresses
From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES
Counts every address ever used on Ethereum
Addresses Inactive ≥ 180 Days
From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS
Counts every address that has not sent or received ETH in 6+ months
Sleepy ETH = Dormant ≥ 180 Days
Sleepy Ratio % = (Sleepy / Total) × 100
This is not an estimate — it’s direct, real dormancy.
Why 6-Month Dormancy Matters
Short-term activity (7-day) = noise from DeFi, NFTs, trading
180-day inactivity = true HODLing — coins untouched through entire market cycles
Historically:
Rising dormancy → supply drying up → bullish pressure
Falling dormancy → long-term holders selling → bearish warning
How It Works (Step-by-Step)
Fetches daily data from Glassnode (Pro+) or CryptoQuant (free)
Selects real data if available; otherwise uses robust fallback
Calculates raw sleepy wallets = addresses inactive ≥ 180 days
Smooths the signal with a 21-day simple moving average (SMA) to filter noise
Computes Sleepy Ratio % for instant conviction reading
Displays live info table with exact values on every bar
How to Use It
Signal
Interpretation
Suggested Action
Sleepy Ratio > 75% and rising
Extreme long-term HODLing
Strong accumulation — buy/hold
Smooth Sleepy trending up
Dormancy growing over 21 days
Bullish supply shock forming
Sleepy Ratio < 68% and falling
Long-term coins re-entering circulation
Caution — possible distribution
Smooth Sleepy dropping fast
HODLers breaking after 6+ months
Bearish warning — consider exits
Use on Daily (D) or Weekly (W) charts for clean, reliable signals.
Pro+ vs Free Mode
Mode
Data Source
Accuracy
Pro+ (Glassnode ON)
Real 180-day dormancy metric
100% precise
Free (Glassnode OFF)
CryptoQuant + price-scaled estimate
~80% historical correlation
Toggle in settings: Use Glassnode Data
What Makes This Indicator Original
First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS
No fake math — uses true inactivity, not active address subtraction
Dual-source logic ensures usability on any TradingView plan
Dual output: raw sleepy count + 21-day SMA for precision and trend
Live info table shows real-time values and data source
Earnings CountdownAdd to a chart to show a text box with how long to next earnings.
Being updated to add functionality from original open source Pine script
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
PipGuard RollerPipPipGuard RollerPip – Confirmed Swing (H/L) Detector with Visual Guidance
Indicator published by PipGuard.
PipGuard RollerPip is a confirmed swing detector that plots H (swing high) and L (swing low) labels directly on the chart. It includes horizontal guides extending to the current candle and a compact legend showing the latest detected swing.
The logic is designed to identify true structural swings , filtering out market noise and ignoring minor fluctuations that lack technical relevance.
How it Works
• Detection Method (Non-Classical):
Unlike traditional 3-candle or fractal models (e.g., ICT-style structures), RollerPip employs a more refined process. It combines trend dynamics , movement amplitude , volume intensity , and closing behavior within a dynamic bar range .
This approach allows it to detect genuine structural swings moments where price exhaustion or continuation is confirmed while drastically reducing false signals.
• Labels and Guides:
Each confirmed swing generates an H (High) or L (Low) label with a progressive effect that softens over time.
Optional horizontal guides extend the swing level to the current candle, offering a clear visual anchor for ongoing analysis.
• Dynamic Legend:
A mini-legend updates in real-time, showing the most recent swing (H or L) for immediate context of the current market phase.
• Built-in Alerts (Focus):
Alerts trigger only on candle close when a new confirmed swing High or Low is detected.
Notifications automatically include symbol and timeframe , ensuring you never miss a key structural move , even when away from the chart.
How to Use
1. Add the script to your chart.
2. Observe the H/L labels to identify confirmed swing points.
3. Use the guides to maintain a visual reference up to the current bar.
4. Enable alerts (New Swing HIGH / LOW) to receive automatic notifications whenever a new swing is confirmed.
5. Integrate this information into your own technical workflow and risk management system.
EXAMPLE OF USE
EXAMPLE OF USE
Settings
• `Label Size` → Controls the size of H/L markers.
• `Swing → Current Candle Guides` → Enables or disables guide lines.
• `Maximum Guide Length (bars)` → Sets the extension of the visual reference.
• `Dashed Style` → Toggles between solid or dashed line style.
• Integrated Alerts: Two ready-to-use conditions ( New Swing HIGH / LOW ) with formatted messages (ticker + timeframe).
• All visual parameters are preconfigured to ensure a clean, consistent, and professional display.
Limitations
• Swings are confirmed on bar close they validate turning points but do not anticipate them.
• In low-volatility or sideways phases, more frequent swings may appear.
• Past performance does not guarantee future results .
Access
This script is available under invite-only access .
To request access, use the link provided in our Signature below this publication.
Note: This is a technical analysis tool designed to study price structure and movement. It does not constitute investment advice or imply guaranteed outcomes.
Indicator published by PipGuard.
Roboquant RP Profits NY Open Retest StrategyRoboquant RP Profits NY Open Retest Strategy A good strategy for CL
10 Moving Average ExponentialHaving the possibility to add multiple Moving Average Exponential up to 10 with one indicator
Macro Valuation Oscillator (MVO)Macro Valuation Oscillator (MVO) is a macro-relative-strength indicator that compares the current valuation of an asset against three key benchmarks: Gold, USD, and Bond. It helps visualize how the asset performs in relative macro terms over time.
When the MVO line for Gold (yellow) moves below the neutral zone (0), it reflects relative weakness against gold. When it rises above +80, it indicates relative strength or potential overheating compared to gold. The same concept applies to USD (blue) and Bond (purple) lines.
The indicator highlights macro-rotation behavior, showing periods when assets outperform (green) or underperform (red) in relative value. It is mainly intended for daily charts, providing a clear visual framework for assessing long-term macro relationships and timing within broader market cycles.
Sector Analysis [SS]Introducing the most powerful sector analysis tool/indicator available, to date, in Pine!
This is a whopper indicator, so be sure to read carefully to ensure you understand its applications and uses!
First of all, because this is a whopper, let's go over the key functional points of the indicator.
The indicator compares the 11 main sector ETFs against whichever ticker you are looking at.
The functions include the following:
Ability to pull technicals from the sectors, such as RSI, Stochastic and Z-Score;
Ability to look at the correlation of the sector ETF to the current ticker you are looking at.
Ability to calculate the R2 value between the ticker you are looking at and each sector.
The ability to run a Two Tailed T-Test against the log returns of the Ticker of interest and the Sector (to analyze statistically significant returns between sectors/tickers).
The ability to analyze the distribution of returns across all sector ETFs.
The ability to pull buying and selling volume across all sector ETFs.
The ability to create an integrated moving average using a sector ETF to predict the expected close range of a ticker of interest.
These are the highlight functions. Below, I will go more into them, what they mean and how to use them.
Pulling Technicals
This is pretty straight forward. You can pull technicals, such as RSI, Stochastic and Z-Score from all the sector ETFs and view them in a table.
See below for the example:
Pulling Correlation
In order to see which sector your ticker of interest follows more closely, we need to look first at correlation and then at R2.
The correlation will look at the immediate relationship over a specified time. A highly positive value, indicates a strong, symbiotic relationship, which the sector and the ticker follow each other. This would be represented by a correlation of 0.8 or higher.
A strong negative correlation, such as -0.8 or lower, indicates that the sector and the ticker are completely opposite. When one goes up, the other goes down and vice versa.
You can adjust your correlation assessment length directly in the settings menu:
If you want to use a sector ETF to find the expected range for a ticker of interest, it is important to locate the highest, POSITIVE, correlation value. Here are the results for MSFT at a correlation lookback of 200:
In this example, we can see the best relationship is with the ETF XLK.
Analysis of R2
R2 is an important metric. It essentially measures how much of the variance between 2 tickers are explained by a simple, linear relationship.
A high R2 means that a huge degree of variance can be explained between the 2 tickers. A low R2 means that it cannot and that the 2 tickers are likely not integrated or closely related.
In general, if you want to use the sector ETF to find the mean and trading range and identify over-valuation/over-extension and under-extension statistically, you need to see both a high correlation and a high R-Squared. These 2 metrics should be analyzed together.
Let's take a look at MSFT:
Here, despite the correlation implying that XLK was the ticker we should use to analyze, when we look at the R Squared, we see actually, we should be using XLI.
XLI has a strong positive relationship with MSFT, albeit a bit less than XLK, but the R2 is solid, > 0.9, indicating the XLI explains much of MSFT's variance.
Two Tailed T-Test
A two tailed T-test analyzes whether there is a statistically significant difference between 2 different groups, or in our case, tickers.
The T-Test is conducted on the log returns of the ticker of interest and the sector. You then can see the P value results, whether it is significant or not. Let's look at MSFT again:
Looking at this, we can see there is no statistically significant difference in returns between MSFT and any of the sectors.
We can also see the SMA of the log returns for more detailed comparison.
If we were to observe a significant finding on the T-Test metrics, this would indicate that one sector either outperforms or underperforms your ticker to a statistically significant degree! If you stumble upon this, you would check the average log returns to compare against the average returns of your ticker of interest, to see whether there is better performance or worse performance from the sector ETF vs. your ticker of interest.
Analyzing the Distribution
The indicator will also analyze the distribution of returns.
This is an interesting option as it can help you ascertain risk. Normally distributed returns imply mean reverting behavviour. Deviations from that imply trending behaviour with higher risk expectancy. If we look at the distribution statistics currently over the last 200 trading days, here are the results:
Here, we can see all show signs of trending, as none of the returns are normally distributed. The highest risk sectors are XLK and XLY.
Why are they the highest risk?
Because the indicator has found a heavy right tailed distribution, indicated sudden and erratic mean reversion/losses are possible.
Creating an MA
Now for the big bonus of the indicator!
The indicator can actually create a regression based range from closely correlated sectors, so you can see, in sectors that are strongly correlated to your ticker, whether your ticker is over-bought, oversold or has mean reverted.
Let's look at MSFT using XLI, our previously identified sector with a high correlation and high R2 value:
The results are pretty impressive.
You can see that MSFT has rode the mean of the sector on the daily timeframe for quite some time. Each time it over extended itself above the sector implied range, it mean reverted.
Currently, if you were to trade based on Pairs or statistics, MSFT is no trade as it is currently trading at its sector mean.
If you are a visual person, you can have the indicator plot the mean reversion points directly:
Green represents a bullish mean reversion and red a bearish mean reversion.
Concluding Remarks
If you like pair trading, following the link between sectors and tickers or want a more objective way to determine whether a ticker is over-bought or oversold, this indicator can help you.
In addition to doing this, the indicator can provide risk insights into different sectors by looking at the distribution, as well as identify under-performing sectors or tickers.
It can also shed light on sectors that may be technically over-bought or oversold by looking at Z-Score, stochastics and RSI.
Its a whopper and I really hope you find it helpful and useful!
Thanks everyone for reading and checking this out!
Safe trades!
RTPL(lite)RTPL(lite) — Free
Simple, powerful, no cost.
• Auto-detects Wave 5
• Shows TP target
• 400D EMA line
• Golden Cross alert
• Gaussian channel
Works on any chart. No subscription needed.
Full version ($109) → rtpl.gumroad.com/l/rtpl-plus
Sesiones Globales 🌍 Londres / Wall Street / Tokio / SydneyA clean visualization of the four main trading sessions — all shown in Argentina time (UTC−3) for easier global market tracking.
🕒 Sessions covered:
London 🇬🇧 — 05:00 to 13:30
Wall Street 🇺🇸 — 11:30 to 18:00
Tokyo 🇯🇵 — 21:00 to 03:00
Sydney 🇦🇺 — 20:00 to 02:00
✨ Features:
Soft background colors for each market session (non-intrusive and chart-friendly)
“OPEN” and “CLOSE” labels in matching session colors
Correct weekend handling — Tokyo and Sydney extend into early Saturday mornings (no false sessions shown)
Works on any asset — BTC, SP500, FX, or indices
Designed for dark charts and visual clarity
🎯 Why use it:
See where global liquidity overlaps, detect volatility zones, and plan your trades around real session activity — especially helpful for BTC and SP500 traders following institutional flow.
💡 Tip: All times are set to Argentina (UTC−3) by default. Adjust manually if you prefer another timezone.






















