Moving Average PanelThis indicator calculates many different moving averages and displays whether they are increasing or decreasing as a panel/table instead of a plot. Rows/columns can be removed from the table as needed in the options menu, there is also a mobile friendly/compact option as well as a location option.
Note: This script is large and may take a few moments to load.
Note: If there is not enough data, will default to bearish/decreasing.
Value Added
This is the most complete and transparent moving average panel/table indicator. Unlike things such as the Technical Ratings, you can see what components are increasing or decreasing.
There may be some advantage in judging if a trend is likely to reverse or not based on the MA's with less lag.
Good for quick screening of charts.
Cerca negli script per " TABLE "
AB=CD Reciprocal Ratios Table (Source Code)This table indicator was intended as helper / reference for using ABCD Pattern.
Indikator berjadual bertujuan sebagai bantuan / rujukan untuk kegunaan ABCD Pattern.
The values shown in table was based on Harmonic Trading : Volume One book written by Scott M Carney.
Details of value, refer Chapter 4 : The AB=CD Pattern (Page 41).
These values are known as AB=CD Reciprocal Ratios.
Nilai yang ditunjukkan dalam jadual adalah berdasarkan buku Harmonic Trading : Volume One ditulis oleh Scott M Carney.
Nilai secara menyeluruh, rujuk Chapter 4 : The AB=CD Pattern (Muka surat 41).
Nilai berikut dipanggil sebagai AB=CD Reciprocal Ratios
Indicator features :
1. List AB=CD Reciprocal Ratios.
2. Font size small for mobile app and font size normal for desktop.
Kemampuan indikator :
1. Senarai AB=CD Reciprocal Ratio.
2. Saiz font kecil untuk mobile app dan saiz size normal untuk desktop.
FAQ
1. Credits / Kredit
Scott M Carney,
2. Code Usage / Penggunaan Kod
Free to use for personal usage but credits are most welcomed especially for credits to Scott M Carney/
Bebas untuk kegunaan peribadi tetapi kredit adalah amat dialu-alukan terutamanya kredit kepada Scott M Carney.
Settings with appropriate value.
Setting dengan nilai yang sesuai.
Default Settings.
Setting asal.
Settings with different table position.
Setting dengan posisi jadual yang berbeza.
Trend Display Table (with Change Alerts)📌 Indicator: Trend Display Table (with Change Alerts)
This indicator helps identify trend direction based on a 15-minute 20 SMA compared against a 10 EMA applied to that SMA.
Trend Logic:
Bullish → 20 SMA crosses above 10 EMA (on SMA values)
Bearish → 20 SMA crosses below 10 EMA (on SMA values)
Neutral → No crossover (trend continues from previous state)
Display:
A compact trend table appears on the chart (top-right), showing the current trend with customizable colors, font size, and background.
Alerts:
Alerts are triggered only when the trend changes (from Bullish → Bearish or Bearish → Bullish).
This prevents repeated alerts on every bar.
✅ Useful for:
Confirming higher timeframe trend bias
Filtering trades in choppy markets
Getting notified instantly when the trend flips
RSI Z‑Score + TableRSI Z-Score + Table
This script calculates the Z-Score of the RSI (Relative Strength Index), which standardizes RSI based on its own recent history.
What It Shows:
RSI Z-Score = (Current RSI - Mean RSI) / Standard Deviation
This tells you how extreme the current RSI is compared to its historical values.
A table displays:
Current RSI
Rolling Mean
RSI Z-Score
How to Use:
Z-Score > +2 = Statistically overbought
Z-Score < -2 = Statistically oversold
Use it to time reversals or overextension in RSI behavior.
🔒 Based on rolling lookback window — fully customizable.
Author:
Tags: #RSI #ZScore #Momentum #StatisticalEdge #MeanReversion #Crypto
RSI Z‑Score + TableRSI Z-Score + Table
This script calculates the Z-Score of the RSI (Relative Strength Index), which standardizes RSI based on its own recent history.
What It Shows:
RSI Z-Score = (Current RSI - Mean RSI) / Standard Deviation
This tells you how extreme the current RSI is compared to its historical values.
A table displays:
Current RSI
Rolling Mean
RSI Z-Score
How to Use:
Z-Score > +2 = Statistically overbought
Z-Score < -2 = Statistically oversold
Use it to time reversals or overextension in RSI behavior.
🔒 Based on rolling lookback window — fully customizable.
Author:
Tags: #RSI #ZScore #Momentum #StatisticalEdge #MeanReversion #Crypto
SG CBC Table - Full 10min & 2minBased on SG CBC Table has 10 min and 2 min CBC status and GC. Also customizable table colors of the background can be changed or made transparent. Indicator Updates every 10 minutes on a 10 minute chart and every 2 minutes on a 2 minute chart
SPY, QQQ, VIX - Multi TF Trend Table***CURRENTLY IN BACKTESTING PHASE***
This TradingView script creates a real-time multi-timeframe trend status table for SPY, QQQ, and VIX using the Ripster-style EMA cloud logic.
🔍 What It Shows:
Current Price (1 Min): Live snapshot of each symbol.
10min Trend (5/12 EMA): Short-term momentum.
10min Trend (34/50 EMA): Intermediate-term direction.
1 Hour Trend: Higher timeframe trend.
Daily Trend: Long-term trend using 5/12 and 34/55 EMA alignment.
Each cell is color-coded:
✅ Green = Bullish
❌ Red = Bearish
Yellow can be used for neutral if customized.
⚙️ How It Works:
Uses request.security() to pull multi-timeframe EMA values for each symbol.
Compares fast/slow EMAs to determine bullish or bearish alignment.
The table is refreshed live and placed in a corner of your choice.
✅ Ideal For:
Trend traders using Ripster EMA clouds
SPY/QQQ/VIX correlation watchers
Traders seeking real-time trend clarity across multiple timeframes
SPY, QQQ, VIX Status TableBased on Ripster EMA and 1 hour MTF Clouds, this custom TradingView indicator displays a visual trend status table for SPY, QQQ, and VIX using multiple timeframes and EMA-based logic to be used on any stock ticker.
🔍 Key Features:
✅ Tracks 3 symbols: SPY, QQQ, and VIX
✅ Multiple trend conditions:
10-min (5/12 EMA) Ripster cloud trend
10-min (34/50 EMA) Ripster cloud trend
1-Hour Multi-Timeframe Ripster EMA trend
Daily open/close trend
✅ Color-coded trend strength:
🟩 Green = Bullish
🟥 Red = Bearish
🟨 Yellow = Sideways
✅ TO save screen space, customizations available:
Show/hide individual rows (SPY, QQQ, VIX)
Show/hide any trend column (10m, 1H MTF, Daily)
Change header/background colors and font color
Bold white top row for readability
✅ Auto-updating table appears on your chart, top-right
This tool is great for active traders looking to quickly scan short-term and longer-term momentum in key market instruments without having to go back and forth market charts.
PCR tableOverview
This indicator displays a multi-period table of forward-looking price projections. It combines normalized directional momentum (Positive Change Ratio, PCR) with volatility (ATR) and presents a forecast for upcoming time intervals, adjusted for your local UTC offset.
Concepts & Calculations
Positive Change Ratio (PCR):
((total positive change)/(total change)-0.5)*2, producing a value between –100 and +100.
Synthetic ATR: Calculates average true range over the same lookbacks to capture volatility.
PCR × ATR: Forms a volatility-weighted directional forecast, indicating expected move magnitude.
Future Price Projection: Adds PCR × ATR value to current close to estimate future price at each lookahead interval.
Table Layout
There are 12 forecast horizons—1× to 12× the chart timeframe (e.g., minutes, hours, days). Each row displays:
1. Future Time: Timestamp of each projection (adjustable via UTC offset)
2. PCR: Directional bias per period (–1 to +1)
3. PCR × ATR: E xpected move magnitude
4. Future Price: Close + (PCR × ATR)
High and low PCR×ATR rows are highlighted green for minimum value in the price forecast (buy signal) or red for maximum value in the price forecast (sell signal).
How to Use
1. Set UTC offset to your time zone for accurate future timestamps.
2. View PCR to assess bullish (positive) or bearish (negative) momentum.
3. Use PCR × ATR to estimate move strength and direction.
4. Reference Future Price for potential levels over upcoming intervals, and for buy and sell signals.
Limitations & Disclaimers
* This model uses linear extrapolation based on recent price behavior. It does not guarantee future prices.
* It uses only current bar data and no lookahead logic—compliant with Pine Script rules.
* Designed for analytical insight, not as an automated signal or trade executor.
* Best used on standard bar/candle charts (avoid non-standard types like Heikin‑Ashi or Renko).
ATR, ADX, RSI TableATR, ADX & RSI Dashboard (Color-Coded)
Overview
This indicator provides a clean, all-in-one dashboard that displays the current values for three of the most popular technical indicators: Average True Range (ATR), Average Directional Index (ADX), and Relative Strength Index (RSI).
To make analysis faster and more intuitive, the values in the table are dynamically color-coded based on key thresholds. This allows you to get an immediate visual summary of market volatility, trend strength, and momentum without cluttering your main chart area.
Features
The indicator displays a simple table in the bottom-right corner of your chart with the following color logic:
ATR (Volatility): Measures the average volatility of an asset.
Green: Low Volatility (ATR is less than 3% of the current price).
Orange: Moderate Volatility (ATR is between 3% and 5%).
Red: High Volatility (ATR is greater than 5%).
ADX (Trend Strength): Measures the strength of the underlying trend, regardless of its direction.
Red: Weak or Non-Trending Market (ADX is below 20).
Orange: Developing or Neutral Trend (ADX is between 20 and 25).
Green: Strong Trend (ADX is above 25).
RSI (Momentum): Measures the speed and change of price movements to identify overbought or oversold conditions.
Green: Potentially Oversold (RSI is below 40).
Orange: Neutral/Normal Conditions (RSI is between 40 and 70).
Red: Potentially Overbought (RSI is above 70).
How to Use
This tool is perfect for traders who want a quick, at-a-glance understanding of the current market state. Instead of analyzing three separate indicators, you can use this dashboard to:
Quickly confirm if a strong trend is present before entering a trade.
Assess volatility to adjust your stop-loss and take-profit levels.
Instantly spot potential overbought or oversold conditions.
Customization
All input lengths for the ATR, ADX, and RSI are fully customizable in the indicator's settings menu, allowing you to tailor the calculations to your specific trading style and timeframe.
The LEAP Contest - Symbol & Max Position Table TrackerDescription:
This indicator tracks the maximum contracts allowed to be traded for TradingView’s *"The Leap"* Contest. It displays a horizontal table at the bottom right of your chart showing up to 20 symbols along with their maximum allowable open contract positions.
Use case:
Designed specifically for traders participating in *The Leap* Contest on TradingView.
Users need to enter the symbol and the maximum contracts allowed for that symbol in the settings menu for each new contest.
It provides a quick reference to ensure compliance with contest rules on maximum position sizes.
How it works:
The table shows two rows: the top row displays the symbol name, and the bottom row shows the max contract limit.
If the currently loaded chart symbol matches any symbol in the list, its text color changes to yellow .
Customization:
Symbols and limits must be updated in the indicator’s settings before each contest to reflect the current rules.
OBV Z-Score + Table📘 OBV Z-Score — Indicator Description
Overview
This indicator converts the On-Balance Volume (OBV) into a Z-Score oscillator, providing a normalized statistical view of volume flow strength relative to its recent history.
How It Works
OBV Calculation
The On-Balance Volume accumulates volume based on price direction, showing whether volume is flowing into or out of an asset.
Z-Score Transformation
The OBV values are normalized via Z-Score:
ini
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Z = (OBV - Mean) / Standard Deviation
This reveals how unusually strong or weak volume momentum is compared to recent norms.
Smoothing
An optional moving average smoothing (SMA, EMA, VWMA, etc.) can be applied for cleaner signals.
Z-Score Table
A live Z-Score value is displayed in a table on the top-right of the indicator pane, clamped between +2 and -2:
+2 indicates unusually high positive volume momentum
-2 indicates unusually high negative volume momentum
How to Use It
Bullish Signal: Z-Score crossing above +1.5 or +2 signals strong buying volume pressure
Bearish Signal: Z-Score crossing below -1.5 or -2 signals strong selling volume pressure
Combine with Price Action: Use alongside price trends or other Z-Score indicators to improve decision making in SDCA or volume-based trading systems
RSI Z-Score + TableHow It Works
RSI Calculation
The standard RSI is computed over a user-defined period (default: 14), measuring the strength of recent price movements.
Z-Score Transformation
The RSI is then normalized using the Z-Score formula:
ini
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Bearbeiten
Z = (RSI - Mean) / Standard Deviation
This highlights whether RSI is unusually high or low compared to its historical behavior.
Smoothing
An optional EMA is applied to the Z-Score for smoother and more reliable signals (default: 10-period smoothing).
Z-Score Table
A real-time value of the RSI Z-Score is displayed in a table in the top-right of the indicator pane.
The value is clamped between +2 and -2
+2 aligns with strong overbought RSI conditions
-2 aligns with strong oversold RSI conditions
How to Use It
Buy Signal Potential: When the Z-Score drops below -1.5 or -2 → statistically oversold RSI
Sell Signal Potential: When the Z-Score rises above +1.5 or +2 → statistically overbought RSI
Use in Confluence: Combine with price action, trend filters, or other Z-Score indicators (e.g. OBV, VWAP, VIX) for SDCA or mean-reversion strategies
VWAP Z-Score Oscillator + Scaled TableVWAP Z-Score Oscillator + Scaled Table
This indicator calculates the Z-Score of the VWAP (Volume Weighted Average Price) based on your chosen source price and reset period (Session, Week, Month, Quarter, or Year).
The Z-Score represents how many standard deviations the current price is from the VWAP, visualized as an oscillator oscillating between ±3 sigma levels. The indicator also features three standard deviation bands for easy reference.
To enhance readability, a scaled Z-Score is displayed in a clean, minimalistic table on the top right of the indicator panel. This score is linearly capped between -2 and +2, mapping the raw Z-Score values with limits at ±3 sigma for clarity and quick assessment.
Use this tool to identify extreme deviations from the VWAP, which may signal potential reversals or continuation of price trends.
SOPR with Z-Score Table📊 Glassnode SOPR with Dynamic Z-Score Table
ℹ️ Powered by Glassnode On-Chain Metrics
📈 Description:
This indicator visualizes the Spent Output Profit Ratio (SOPR) for major cryptocurrencies — Bitcoin, Ethereum, and Litecoin — along with a dynamically normalized Z-Score. SOPR is a key on-chain metric that reflects whether coins moved on-chain are being sold at a profit or a loss.
🔍 SOPR is calculated using Glassnode’s entity-adjusted SOPR feed, and a custom SMA is applied to smooth the signal. The normalized Z-Score helps identify market sentiment extremes by scaling SOPR relative to its historical context.
📊 Features:
Selectable cryptocurrency: Bitcoin, Ethereum, or Litecoin
SOPR smoothed by user-defined SMA (default: 10 periods)
Upper & lower bounds (±4%) for SOPR, shown as red/green lines
Background highlighting when SOPR moves outside normal range
Normalized Z-Score scaled between –2 and +2
Live Z-Score display in a compact top-right table
🧮 Calculations:
SOPR data is sourced daily from Glassnode:
Bitcoin: XTVCBTC_SOPR
Ethereum: XTVCETH_SOPR
Litecoin: XTVCLTC_SOPR
Z-Score is calculated as:
SMA of SOPR over zscore_length periods
Standard deviation of SOPR
Z-Score = (SOPR – mean) / standard deviation
Z-Score is clamped between –2 and +2 for visual consistency
🎯 Interpretation:
SOPR > 1 implies coins are sold in profit
SOPR < 1 suggests coins are sold at a loss
When SOPR is significantly above or below its recent range (e.g., +4% or –4%), it may signal overheating or capitulation
The Z-Score contextualizes how extreme the current SOPR is relative to history
📌 Notes:
Best viewed on daily charts
Works across selected assets (BTC, ETH, LTC)
NIG Probability TableNormal-Inverse Gaussian Probability Table
This indicator implements the Normal-Inverse Gaussian (NIG) distribution to estimate the likelihood of future price based on recent market behavior.
📊 Key Features:
- Estimates the parameters (α: tail heaviness, β: skewness, δ: scale, μ: location)
of the NIG distribution using a sliding window over log returns.
- Uses a numerically approximated version of the modified Bessel function (K₁)
to calculate the NIG probability density function (PDF).
- Normalizes the total probability across all bins to ensure the values are interpretable.
- Displays a dynamic probability table showing the chance of future returns falling into each bin.
⚠️ Notes:
- This is a real-time approximation. The Bessel function and posterior inference are simplified.
- Tail probabilities and shape parameters are sensitive to the window size and input settings.
- Useful for risk analysis, option overlays, and strategy filters.
Correlation Coefficient TableThis Pine Script generates a dynamic table for analyzing how multiple assets correlate with a chosen benchmark (e.g., NZ50G). Users can input up to 12 asset symbols, customize the benchmark, and define the beta calculation periods (e.g., 15, 30, 90, 180 days). The script calculates Correlation values for each asset over these periods and computes the average beta for better insights.
The table includes:
Asset symbols: Displayed in the first row.
Correlation values: Calculated for each defined period and displayed in subsequent columns.
Average Correlation: Presented in the final column as an overall measure of correlation strength.
Color coding: Background colors indicate beta magnitude (green for high positive beta, yellow for near-neutral beta, red for negative beta).
ATR & PTR TableThe ATR & PTR Table Indicator displays a dynamic table that provides Average True Range (measures market volatility over 1D, 1W, and 1M timeframes), Price trading range (difference between the high and low prices over the same periods) & percentage of the typical range that has been traded. This indicator will help traders identify potential breakout zones and assess volatility across multiple timeframes.
This had been optimized to show ATR and PTR on every time frame. The (1D) represents ATR on whatever timeframe you are currently on.
Trading Sessions with TableTrading Sessions with Table is a dynamic TradingView indicator that displays the status of major global trading sessions directly on your chart. The script features a customizable table listing key sessions—Sydney, Tokyo, London, and New York—along with their open and close times and current status ("Open" or "Closed").
Key features include:
Custom Time Inputs: Easily set your session times by entering HH:MM formatted strings.
Dynamic Timestamps: The script calculates session timestamps for the current day and automatically adjusts for sessions that span midnight.
Visual Cues: Active sessions are highlighted with distinct background colors for quick reference.
Alert Conditions: Built-in alerts notify you when each session starts and ends, so you can stay informed of market shifts.
Ideal for traders managing multi-market strategies, this tool offers a clear, at-a-glance overview of session activity and helps streamline your trading decisions across different time zones.
[Helper] Trade Journal TableThis indicator serves as a starting point for creating a customized trade journal that meets individual requirements. It provides a basic structure for visualizing trade data in table form which can be adapt to specific needs. The trade data must be maintained directly within the script using the Pine Editor.
Basic Structure:
The example table consists of six columns: Date, Entry Price, Exit Price, Profit/Loss (color-coded), Strategy, and Notes. It is displayed centrally on the chart and dynamically adjusts to the number of recorded trades.
Example Data:
To demonstrate its functionality, the indicator includes predefined example trades, which should be replaced with actual trading data. Additional information, such as strategies and notes, can be added to improve trade documentation.
Annual Performance Table with Average PeformanceAn indicator that displays annual performance in a table format, providing a quick overview of yearly returns with historical context.
It calculates the performance based on the first and last monthly close prices of each year. It displays returns chronologically from left to right, concluding with an average performance column.
Features :
Works exclusively on monthly timeframes
Customizable number of years to display (1-50 years)
Shows year-by-year performance percentages
Color-coded returns (green for positive, red for negative)
Includes average performance across displayed years
Semi-transparent overlay design for better chart visibility
Performance calculation method:
Performance = ((December Close - January Close) / January Close) × 100%
Usage :
Apply to any chart on monthly timeframe
Adjust the "Number of Years to Display" parameter as needed
Table appears as an overlay with years, individual performances, and average
Note: The indicator will display an error message if applied to any timeframe other than monthly.
Pearson Analysis TableHere's the English translation:
The main functionality of the script lies in calculating the Pearson correlation coefficient over a given period. This coefficient quantifies the relationship between time and price movements, offering traders an objective measure of market trend linearity and, if applicable, its direction. A smoothing option is included to filter out noise and pressure.
The key parameters include the analysis window length, data source (by default, the closing price), and thresholds for identifying strong correlations. These thresholds allow trends to be classified as "bearish," "bullish," or "neutral," with the script reversing traditional interpretation for a unique perspective. For example, a positive correlation indicates a bearish trend, while a negative correlation-
The visual component of the script is a dynamic statistics table displayed on the chart. This table provides the current Pearson coefficient, correlation strength (classified as Strong, Medium, Weak, or Neutral), the inferred trend, and the analysis period. Values are color-coded for easy identification, thus enhancing trader understanding.
Additionally, the script offers alert conditions to inform traders of important market events, such as when the Pearson coefficient crosses key thresholds or changes direction. These alerts can be used to identify strong bearish or bullish trends or transitions through the neutral zone.
This tool is particularly useful for traders seeking to identify and act on statistically significant trends, providing them with an analytical edge and helping them align their strategies with market dynamics. The combination of real-time calculations, customizable thresholds, and clear visual feedback makes this indicator a robust addition to any technology.
Volume StatsDescription:
Volume Stats displays volume data and statistics for every day of the year, and is designed to work on "1D" timeframe. The data is displayed in a table with columns being months of the year, and rows being days of each month. By default, latest data is displayed, but you have an option to switch to data of the previous year as well.
The statistics displayed for each day is:
- volume
- % of total yearly volume
- % of total monthly volume
The statistics displayed for each column (month) is:
- monthly volume
- % of total yearly volume
- sentiment (was there more bullish or bearish volume?)
- min volume (on which day of the month was the min volume)
- max volume (on which day of the month was the max volume)
The cells change their colors depending on whether the volume is bullish or bearish, and what % of total volume the current cell has (either yearly or monthly). The header cells also change their color (based either on sentiment or what % of yearly volume the current month has).
This is the first (and free) version of the indicator, and I'm planning to create a "PRO" version of this indicator in future.
Parameters:
- Timezone
- Cell data -> which data to display in the cells (no data, volume or percentage)
- Highlight min and max volume -> if checked, cells with min and max volume (either monthly or yearly) will be highlighted with a dot or letter (depending on the "Cell data" input)
- Cell stats mode -> which data to use for color and % calculation (All data = yearly, Column = monthly)
- Display data from previous year -> if checked, the data from previous year will be used
- Header color is calculated from -> either sentiment or % of the yearly volume
- Reverse theme -> the table colors are automatically changed based on the "Dark mode" of Tradingview, this checkbox reverses the logic (so that darker colors will be used when "Dark mode" is off, and lighter colors when it's on)
- Hide logo -> hides the cat logo (PLEASE DO NOT HIDE THE CAT)
Conclusion:
Let me know what you think of the indicator. As I said, I'm planning to make a PRO version with more features, for which I already have some ideas, but if you have any suggestions, please let me know.