Price & % ChangePrice & % Change (Status Line Only) - Indicator Description
This indicator calculates and displays the absolute price change (Δ) and percentage change (%) between the open and close of a selected candle. The values are shown only in the indicator list (status line) and do not appear on the chart.
Features:
✅ Displays Price Δ and % Δ in the TradingView indicator list
✅ Customizable decimal places (0-8) for both values
✅ Bar offset option to analyze previous candles
Use this tool to quickly track price movements without cluttering your chart. 🚀
Educational
ICT Indices Time Zones HighlightOverview:
The "ICT Indices Time Zones Highlight" indicator is designed to help traders identify and visualize key time zones on their charts, specifically tailored for trading indices. Inspired by the Inner Circle Trader (ICT) methodology, this tool highlights critical periods of market activity, such as the New York Open, Midday, and Afternoon Session, using distinct colors for easy recognition.
VRS Strategy1. Entry and Exit Conditions:
The buy entry is triggered based on the close breaking the high of the previous green candle, and it checks that the close is below the lower band.
The individual exit commands for each target (target1 and target2) and stop loss are set correctly.
2. Sell Entry and Exit:
The sell entry checks for a close below the low of the previously detected bearish candle, and it also checks that the price is above the upper band.
The sell exit properly sets the target sell condition based on the lower band.
Classic Nacked Z-Score ArbitrageThe “Classic Naked Z-Score Arbitrage” strategy employs a statistical arbitrage model based on the Z-score of the price spread between two assets. This strategy follows the premise of pair trading, where two correlated assets, typically from the same market sector, are traded against each other to profit from relative price movements (Gatev, Goetzmann, & Rouwenhorst, 2006). The approach involves calculating the Z-score of the price spread between two assets to determine market inefficiencies and capitalize on short-term mispricing.
Methodology
Price Spread Calculation:
The strategy calculates the spread between the two selected assets (Asset A and Asset B), typically from different sectors or asset classes, on a daily timeframe.
Statistical Basis – Z-Score:
The Z-score is used as a measure of how far the current price spread deviates from its historical mean, using the standard deviation for normalization.
Trading Logic:
• Long Position:
A long position is initiated when the Z-score exceeds the predefined threshold (e.g., 2.0), indicating that Asset A is undervalued relative to Asset B. This signals an arbitrage opportunity where the trader buys Asset B and sells Asset A.
• Short Position:
A short position is entered when the Z-score falls below the negative threshold, indicating that Asset A is overvalued relative to Asset B. The strategy involves selling Asset B and buying Asset A.
Theoretical Foundation
This strategy is rooted in mean reversion theory, which posits that asset prices tend to return to their long-term average after temporary deviations. This form of arbitrage is widely used in statistical arbitrage and pair trading techniques, where investors seek to exploit short-term price inefficiencies between two assets that historically maintain a stable price relationship (Avery & Sibley, 2020).
Further, the Z-score is an effective tool for identifying significant deviations from the mean, which can be seen as a signal for the potential reversion of the price spread (Braucher, 2015). By capturing these inefficiencies, traders aim to profit from convergence or divergence between correlated assets.
Practical Application
The strategy aligns with the Financial Algorithmic Trading and Market Liquidity analysis, emphasizing the importance of statistical models and efficient execution (Harris, 2024). By utilizing a simple yet effective risk-reward mechanism based on the Z-score, the strategy contributes to the growing body of research on market liquidity, asset correlation, and algorithmic trading.
The integration of transaction costs and slippage ensures that the strategy accounts for practical trading limitations, helping to refine execution in real market conditions. These factors are vital in modern quantitative finance, where liquidity and execution risk can erode profits (Harris, 2024).
References
• Gatev, E., Goetzmann, W. N., & Rouwenhorst, K. G. (2006). Pairs Trading: Performance of a Relative-Value Arbitrage Rule. The Review of Financial Studies, 19(3), 1317-1343.
• Avery, C., & Sibley, D. (2020). Statistical Arbitrage: The Evolution and Practices of Quantitative Trading. Journal of Quantitative Finance, 18(5), 501-523.
• Braucher, J. (2015). Understanding the Z-Score in Trading. Journal of Financial Markets, 12(4), 225-239.
• Harris, L. (2024). Financial Algorithmic Trading and Market Liquidity: A Comprehensive Analysis. Journal of Financial Engineering, 7(1), 18-34.
ICT Killzones + Macros V2 [TakingProphets]The ICT Killzones indicator is a powerful tool designed to visualize key trading sessions and market timing elements used in ICT (Inner Circle Trader) methodology. It includes:
• Session Markers:
- Asia Session
- London Session
- NY AM Session
- NY Lunch Session
- NY PM Session
• Key Price Levels:
- Session high/low levels that extend until violated
- Midnight Open price level (dotted line)
- True Day Open price level (6 PM EST, dotted line)
• ICT Macro Timing:
- First Macro: 9:45 AM - 10:15 AM EST
- Second Macro: 10:45 AM - 11:15 AM EST
- Distinctive brackets marking start and end times
Features:
• Fully customizable colors and styles for all elements
• Adjustable label positions and sizes
• Toggle options for each component
• Smart timeframe filtering
• Clean, uncluttered visual design
This indicator helps traders identify key market structure points, session transitions, and optimal trading windows based on ICT concepts.
Leading Indicator - MACD + RSI### *How It Works*
1. *MACD*:
- The MACD line is calculated as the difference between the 12-period and 26-period exponential moving averages (EMAs).
- A signal line (9-period EMA of the MACD line) is used to generate crossover signals.
2. *RSI*:
- RSI is used to measure momentum and identify overbought/oversold conditions.
- Signals are filtered to avoid overbought/oversold zones, ensuring the indicator acts as a leading tool.
3. *Signals*:
- A *BUY* signal is generated when:
- MACD line crosses above the signal line (bullish momentum).
- RSI is above the oversold level but below the overbought level (momentum is building).
- A *SELL* signal is generated when:
- MACD line crosses below the signal line (bearish momentum).
- RSI is below the overbought level but above the oversold level (momentum is weakening).
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### *How to Use*
1. Copy and paste the script into TradingView's Pine Script editor.
2. Add the indicator to your chart.
3. Adjust the input parameters (e.g., MACD lengths, RSI length) to suit your trading style.
4. Use the BUY/SELL signals to identify potential entry and exit points.
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### *Customization*
- You can add more filters, such as volume or trend confirmation (e.g., using a moving average).
- Experiment with different lengths for MACD and RSI to optimize for your preferred time frame.
Finite Difference - Backward (mcbw_)In calculus there exists a 'derivative', which simply just measures the difference between two points on a curve. For well behaved mathematical functions there are infinitely many points and so there exists a derivative at every point. Where there are infinitely many points in a curve that curve is called 'continuous'. Continuous curves are very nice to deal with since each point on it exists almost exactly where its neighbors are. However, if the curve does not have infinitely many points on it, but instead has a finite number of points on it, that curve is called 'discrete' instead of continuous. Taking the derivative of discrete curves is much trickier business since there are none of the mathematical conveniences that a continuous offers. In the real world everything we measure is a discrete curve, including Price (since we measure it a finite number of times, aka each candlestick)!
The branch of Discrete Mathematics has found an approach to measure the derivative along a discrete curve, that approach is aptly called " Finite Difference ". To get a more accurate approximation of a discrete derivative, the finite difference approach uses weighted combinations of neighboring points. The most common type of finite difference is a 'central' difference, this uses a combination of points before and after the point of interest to approximate the discrete derivative. This is great for historical analysis but is not of much use for trading algorithms since it technically means using future prices to calculate the derivative of the current point. Instead we can use a less common variant called a ' Backwards Difference ' that only uses a combination of points before the current one to help approximate the current derivative.
In this script you can choose the " Order " of your derivative and the " Accuracy " of its approximation. This script is for educational purposes for folks building trading algorithms. Many trading algorithms often have an element of seeing how much Price has changed from the previous candle to the current candle. This approach is the lowest accuracy derivative possible, and using the backwards finite differences, made available for the first time on TradingView (!!), algorithms that use derivatives can now have higher orders of accuracy!
Happy Trading/Developing!
QoQ Economic & Financial Indicator ChangesA straightforward indicator for analyzing quarter-over-quarter (QoQ) percentage changes in economic and financial data series. Perfect for visualizing dynamic changes in:
Economic Indicators (GDP, House Price Indices, Employment Figures)
Company Financial Metrics (Revenue, EPS, Operating Margins)
Balance Sheet Items (Assets, Liabilities, Equity)
Cash Flow Statement Components
Other Quarterly Economic & Financial Data
Features:
Automatically calculates QoQ percentage changes
Color-coded visualization (green for positive, red for negative changes)
Displays exact percentage values
Includes adjustable scale factor for different data series
Zero line reference for easy trend identification
PDC & EMATitle: Dynamic Price & EMA Table with Previous Day Close
Description: This script provides a dynamic table that displays key information about the current price relative to the previous day's close and the 8-period EMA. It helps traders quickly identify potential trading signals based on these conditions. The table adapts for both web and mobile views, ensuring a seamless experience across devices.
Features:
Previous Day Close (PDC): Indicates if the current price is above ("Y") or below ("N") the previous day's close.
8-Period EMA (8EMA): Shows if the current price is above ("Y") or below ("N") the 8-period EMA.
Action Signal: Displays "Calls" if both conditions are met, "Puts" if neither condition is met, and "Hold" if the conditions are mixed.
Customizable Colors: Allows users to set their preferred colors for up, down, and hold signals.
Responsive Design: Adjusts the table layout for optimal viewing on both web and mobile devices.
This script is ideal for traders looking for a quick visual reference to make informed trading decisions based on price and EMA conditions.
ELHAI Futures Trend Checker (ES, NQ, YM)The ELHAI Futures Trend Checker is a powerful TradingView indicator designed for futures traders who want to monitor the trend synchronization of the three major U.S. futures indices:
✅ E-mini S&P 500 (ES1!)
✅ E-mini Nasdaq 100 (NQ1!)
✅ E-mini Dow Jones (YM1!)
This indicator checks whether all three futures indices are bullish or bearish during each candle formation. If one of them is out of sync (e.g., two indices are bullish while one is bearish), the indicator triggers an alert and highlights the background in red, helping traders identify potential market indecision or divergence.
Key Features
📌 Designed for Futures Traders – Focuses on ES, NQ, and YM futures contracts.
📌 Live Market Monitoring – Works in real-time and updates dynamically with each tick.
📌 Bullish/Bearish Trend Confirmation – Detects when all three indices are in sync.
📌 Mismatch Detection – Alerts you when at least one index is out of trend.
📌 Custom Alerts – Set up TradingView alerts to be notified instantly when a trend mismatch occurs.
📌 Visual Background Highlight – A red background warns of a market divergence.
How It Works
The script retrieves open and close prices for ES, NQ, and YM.
Determines whether each futures index is bullish (close > open) or bearish (close < open).
If all three indices are bullish or all are bearish, it remains neutral.
If one index is different, an alert is triggered and the background turns red.
How to Use
Apply the indicator to your TradingView chart.
Choose any timeframe – Works well on intraday, daily, or higher timeframes.
Enable alerts: Go to Alerts → Create Alert, select "Futures Trend Mismatch", and set your preferred alert frequency.
Use alongside other indicators like moving averages, RSI, or MACD for better trade confirmation.
Best Use Cases
✔ Day traders & scalpers – Quickly spot market divergence in live trading.
✔ Swing traders – Identify when futures markets lose synchronization.
✔ Trend followers – Confirm if all major futures markets are aligned before making a move.
Final Notes
This indicator was built for Elhai to provide real-time trend analysis across major U.S. futures indices. Use it as a confirmation tool to improve market timing and decision-making.
ELHAI INDICES CHECKERDescription
The Major Indices Trend Checker is a powerful TradingView indicator designed to monitor the trend synchronization of the three major U.S. stock indices:
✅ S&P 500 (SPX)
✅ Nasdaq 100 (NDX)
✅ Dow Jones Industrial Average (DJI)
This indicator checks whether all three indices are bullish or bearish during each candle formation. If one of them is out of sync (e.g., two indices are bullish while one is bearish), the indicator triggers an alert and highlights the background in red, helping traders identify potential market indecision or divergence.
Key Features
📌 Live Market Monitoring – Works in real-time, updating dynamically with every tick.
📌 Bullish/Bearish Trend Check – Confirms if all three indices are aligned in the same trend.
📌 Mismatched Trend Detection – Alerts you when at least one index is not following the others.
📌 Custom Alerts – Set up TradingView alerts to notify you when a trend mismatch occurs.
📌 Visual Background Highlight – Red background indicates an out-of-sync market.
How It Works
The script retrieves open and close prices for SPX, NDX, and DJI.
Determines whether each index is bullish (close > open) or bearish (close < open).
If all three indices are bullish or all are bearish, it remains neutral.
If one index is out of sync, an alert is triggered and the background turns red.
How to Use
Apply the indicator to your TradingView chart.
Select any timeframe – it works on all intraday, daily, and higher timeframes.
Enable alerts: Go to Alerts → Create Alert, select "Trend Mismatch", and choose how often you want to be notified.
Use it with other indicators for confirmation, such as moving averages, RSI, or MACD.
Best Use Cases
✔ Day traders & scalpers – Spot market uncertainty early in the session.
✔ Swing traders – Identify moments when markets lack alignment before making a move.
✔ Trend followers – Avoid entering trades when major indices disagree on direction.
Final Notes
This indicator helps you stay ahead of market indecision by highlighting divergence among major indices. Use it as a confirmation tool alongside your strategy to improve your market timing and decision-making.
ICT Killzones + Macros [TakingProphets]The ICT Killzones indicator is a powerful tool designed to visualize key trading sessions and market timing elements used in ICT (Inner Circle Trader) methodology. It includes:
• Session Markers:
- Asia Session
- London Session
- NY AM Session
- NY Lunch Session
- NY PM Session
• Key Price Levels:
- Session high/low levels that extend until violated
- Midnight Open price level (dotted line)
- True Day Open price level (6 PM EST, dotted line)
• ICT Macro Timing:
- First Macro: 9:45 AM - 10:15 AM EST
- Second Macro: 10:45 AM - 11:15 AM EST
- Distinctive L-shaped brackets marking start and end times
Features:
• Fully customizable colors and styles for all elements
• Adjustable label positions and sizes
• Toggle options for each component
• Smart timeframe filtering
• Clean, uncluttered visual design
This indicator helps traders identify key market structure points, session transitions, and optimal trading windows based on ICT concepts.
EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
MACD Indicator with Buy and Sell AlertsIntroduction
The MACD Indicator with Alerts & Manual Thresholds is a powerful and customizable MACD-based trading tool designed for traders who want more control over their buy and sell signals. This script allows users to define their own buy and sell thresholds instead of relying solely on standard MACD crossovers. The built-in alerts help traders stay informed about potential trade opportunities without constantly monitoring charts.
How It Works
This script calculates the Moving Average Convergence Divergence (MACD) using customizable fast and slow moving averages. The MACD histogram is derived from the difference between the MACD line and the signal line:
MACD Line: The difference between a fast-moving average (default 12-period EMA) and a slow-moving average (default 26-period EMA).
Signal Line: A smoothed moving average (default 9-period EMA) of the MACD line.
Histogram: The difference between the MACD line and the signal line.
Instead of using default zero-line crossovers, this script allows traders to set custom buy and sell threshold levels:
A buy signal is generated when the MACD histogram crosses above the user-defined buy threshold.
A sell signal is generated when the MACD histogram crosses below the user-defined sell threshold.
Benefits of This Indicator
Custom Thresholds: Unlike traditional MACD indicators, traders can adjust buy and sell thresholds according to their strategy.
Automated Alerts: Get notified instantly when buy or sell conditions are met.
Flexibility in Calculation: Choose between SMA or EMA for both the MACD and signal line calculations.
Clear Visualization: Histogram bars color-coded for quick analysis.
Risks and Limitations
While the MACD indicator is a widely used tool, traders should be aware of its potential risks:
Lagging Indicator: MACD is a trend-following indicator, meaning it may generate signals with some delay.
False Signals in Ranging Markets: MACD works best in trending markets but can produce misleading signals in sideways conditions.
Threshold Optimization Required: Users need to experiment with different buy/sell thresholds to align with their trading strategy and market conditions.
Improving Accuracy with Additional Indicators
For better accuracy and confirmation, combining this MACD strategy with other indicators is recommended:
1. EMA 200 as a Trend Filter
Use the 200-period EMA to determine the overall trend direction.
Consider buying only when price is above EMA 200 (uptrend) and selling only when price is below EMA 200 (downtrend).
2. RSI (Relative Strength Index) for Overbought/Oversold Conditions
RSI (14) can help filter false MACD signals.
A MACD buy signal is stronger when RSI is below 30 (oversold condition).
A MACD sell signal is more reliable when RSI is above 70 (overbought condition).
3. Support & Resistance Levels
Consider placing trades near major support or resistance zones to avoid chasing breakouts.
MACD signals are more effective when they align with these key price levels.
Conclusion
The MACD Indicator with Alerts & Manual Thresholds offers a flexible and powerful approach to trading by allowing users to define their own thresholds. However, for best results, it should be combined with additional indicators such as EMA 200, RSI, and support/resistance levels. Traders should backtest and optimize settings to suit their market conditions and trading style.
By using this indicator alongside proper risk management techniques, traders can enhance their decision-making process and improve their overall trading performance.
Happy Trading!
First 9:15-9:20 Candle Levels (Daily)This indicator captures the closing price of the first 5-minute candle (9:15 - 9:20 AM) every trading day. It then calculates 0.09% above and below this closing price and plots horizontal lines. The indicator resets daily at 9:15 AM, ensuring it always tracks the latest market open. After 9:20 AM, the calculated levels remain visible throughout the day. The upper level is displayed in green, while the lower level is in red. This tool helps traders identify key price levels early in the session, useful for setting stop-losses, take-profit zones, or identifying potential breakout points.
Candle Color Based on TimeThis Pine Script indicator highlights ETH session candles with a user-specified color, allowing traders to distinguish between ETH and RTH sessions without switching charts. It provides a clearer visual separation compared to session boxes. The RTH session hours are also customizable in the settings, ensuring flexibility for different market hours if the trader wishes to do so.
TDI 7 MA and HISTOGRAMTDI %K Histogram with 7 MA
Overview
This indicator enhances trend and momentum analysis using the %K line from the Traders Dynamic Index (TDI), combined with a 7-period moving average (MA) and a histogram.
How It Works
The script calculates %K (similar to Stochastic RSI), representing the relative price position within a given range.
A 7-period Simple Moving Average (SMA) is applied to smooth the %K line, reducing noise and improving trend clarity.
A histogram is plotted based on the difference between %K and the 7-period MA:
Green bars indicate that %K is above the 7-period MA, suggesting bullish momentum.
Red bars indicate that %K is below the 7-period MA, suggesting bearish momentum.
Key Features
-%K Line (Blue) – Reflects short-term momentum shifts.
-7-period MA (Purple) – Helps smooth out fluctuations in %K for better trend identification.
-Histogram (Green/Red Columns) – Highlights momentum shifts visually.
Overbought (68), Midpoint (50), and Oversold (32) Levels – Provides reference points for potential reversals or trend continuation.
How to Use
Bullish Confirmation: When the histogram turns green and %K is above the 7 MA, it suggests upward momentum.
Bearish Confirmation: When the histogram turns red and %K is below the 7 MA, it suggests downward momentum.
Overbought/Oversold Conditions: Use the 68 and 32 levels as potential reversal zones, but always confirm with price action.
Midpoint (50 Level): Acts as a dynamic support/resistance area for momentum shifts.
This indicator is suitable for trend-following and momentum-based trading strategies, whether on lower timeframes for scalping or higher timeframes for swing trading.
Try it out and integrate it with your trading system to refine your entries and exits!
Investment Tracker Profit/lossThe Investment Tracker is a custom-built indicator designed to help traders and investors track their performance in real time. With this tool, you can easily monitor the gains or losses from your initial investment based on the price movement of a specific token. The indicator dynamically updates to show how much you've earned or lost, providing valuable insights into your investment strategy.
Key Features:
Profit/Loss Tracking: Instantly see whether you're in profit (green) or loss (red) based on the token's price movement.
Current Value Calculation: Tracks your investment’s current value by comparing the price at which you bought the token with its current price.
Visual Representation: Displays your initial investment, current value, and profit/loss on the chart with dynamic color coding (green for profit, red for loss).
Top-Right Display: Profit/loss data is conveniently displayed in the top-right corner of the chart, providing a clean and non-intrusive way to monitor your position.
Transparency: The indicator's lines have reduced opacity, allowing you to view your position without obstructing the price action.
How to Use:
Input your initial investment amount (in USD or your desired currency).
Set the buy price of the token when you made the purchase.
Watch the indicator update as the price of the token changes, providing real-time tracking of your profit or loss.
Whether you're holding a single position or monitoring multiple investments, this tracker gives you a clear and up-to-date view of how your portfolio is performing.
Perfect For:
Crypto traders who want to monitor their positions in real time.
Long-term investors looking to track the performance of their investments.
Anyone who wants a simple, visual way to measure their gains and losses in the market.
Custom Watermark by matarMATAR CUSTOM WATERMARK SCRIPT DESCRIPTION Type: TradingView Chart Watermark & Info Panel
Version: 1.0
Compatibility: All TradingView Charts
CORE FEATURES
1️⃣ Customizable Watermark
Add main title and subtitle
Adjust text color, size, and alignment
9 positioning options (Top-Center, Bottom-Right, etc.)
2️⃣ Smart Symbol Info Panel
Real-time symbol display (e.g., BTC/USDT)
Timeframe details (e.g., 15 Minutes, 4 Hours)
Last candle date (DD/MM/YYYY)
Toggle panel visibility
3️⃣ Visual Flexibility
Background color selection (including transparent)
6 font sizes (Tiny > Huge)
Precise positioning with margin controls
USE CASES
✅ Branding
Add company name/logo to screenshots
Credit sources in educational materials
✅ Risk Management
Permanent reminders like "Max 2% Risk"
Position size warnings
✅ Data Tracking
Quick reference for multi-timeframe analysis
Automatic date stamps for backtests
SETTINGS PANEL
📝 Text Customization
Main Title: Default "MATAR TRADING" (editable)
Subtitle: Add your trading motto
🎨 Appearance
16+ color options (HEX code support)
Font scaling for different screen sizes
📍 Positioning
Vertical/horizontal alignment
Margin adjustments for spacing
ℹ Symbol Info
Independent panel positioning
Customizable date format
INSTALLATION & USAGE
Add script to TradingView
Click "Settings" icon (top-right)
Modify parameters in dedicated tabs
Changes apply instantly (no reload needed)
KEY BENEFITS
Non-Intrusive: 90% transparency support
Lightweight: Zero performance impact
Multi-Timeframe: Show D1 data on H1 charts
Universal: Works with stocks, forex, crypto
EXAMPLE SCENARIOS
Intraday Trader:
Title: "Scalping Strategy v2.0"
Subtitle: "15M-1H TF Only"
Symbol Panel: Top-right
Educator:
Title: "Training Demo - Do Not Copy"
Background: Red transparency
Date: Auto watermark for recordings
Portfolio Manager:
Subtitle: "Max 3 Trades Daily"
Symbol Info: Bottom-left
SUPPORTED ASSETS
All TradingView symbols
Custom instruments (any listed asset)
Historical data compatible (backtesting)
This script combines practical trading discipline with brand identity management, helping you maintain professional charts while avoiding distractions. 🚀
Note: Requires basic TradingView navigation skills. No coding knowledge needed.
Micha Stocks Custom Watermark Reva fixed version of the original Micha Stocks custom watermark that offers location position and have the information order to be presented visually better
thank you micha :)
