EMA Momentum Projection# EMA Momentum Projection 20 50 200
## Overview
Visualizes the relative strength of three EMAs (20, 50, 200) through histogram projections. Measures momentum direction and intensity using slope-based calculations.
## Key Features
- Multi-timeframe EMA comparison
- Customizable projection horizon
- Non-repainting calculations
- Clear histogram visualization
## Parameters
- `Projection Bars`: Forward-looking momentum estimate (1-10)
- `Slope Period`: Historical window for slope calculation (2-20)
## Usage
1. Apply to any market/timeframe
2. Compare histogram heights:
- Green (20EMA): Short-term momentum
- Blue (50EMA): Medium-term force
- Red (200EMA): Long-term bias
3. Look for alignment between timeframes
## Limitations
- Works best with trending instruments
- Requires confirmation with price action
- Not a standalone trading system
## Educational Purpose
Designed to help identify:
- Momentum divergences
- Trend acceleration/deceleration
- Relative strength between time horizons
> Combine with volume analysis and support/resistance levels for best results
*This tool does not predict future prices - it estimates momentum based on historical slope calculations.
Indikatoren und Strategien
Relative Strength Crypto1. Purpose of this Indicator:
This indicator calculates the Relative Strength (RS) of a cryptocurrency compared to Bitcoin (BTC). It helps traders evaluate whether a specific crypto asset is outperforming or underperforming Bitcoin.
2. How It Works:
The script retrieves the closing price of Bitcoin (BTC).
A 20-period Exponential Moving Average (EMA) is applied to RS for smoothing.
The script plots:
- RS (green line): The relative strength value.
- EMA of RS (black line): A smoothed version of RS for better trend analysis.
3. Interpretation of the Indicator:
RS above the EMA → The asset is outperforming Bitcoin (bullish).
RS below the EMA → The asset is underperforming Bitcoin (bearish).
Rising RS → The asset is gaining strength relative to Bitcoin.
Falling RS → The asset is weakening relative to Bitcoin.
4. Best Usage:
Compare altcoins against Bitcoin to find strong or weak performers.
Identify potential breakouts in altcoins.
Use alongside RSI or Moving Averages for confirmation.
ADR Nivele Horizontale dhe EMAThe user provided a Pine Script code for an indicator called "ADR Nivele Horizontale dhe EMA". The task is to explain how this code works. Hmm, first, I need to understand what this indicator does. The title mentions ADR levels and EMA, so it's probably combining horizontal lines based on Average Daily Range and some Exponential Moving Averages.
Looking at the code, the first part is the indicator declaration with version 6. The settings include an ADR period, levels above and below the mid, and line style. Then there's a section for calculations. They request daily high and low to compute the daily range. The ADR is the SMA of the daily range over the specified period. The mid is the average of daily high and low. The adr_val is half of ADR, maybe to create symmetrical levels around the mid.
Next, they create arrays for lines and labels above and below the mid. The loops go from 1 to levels_above/below, calculate each level, draw lines and labels. The mid line is also drawn with a different color. Then, there are several EMAs plotted: 13, 50, 200, 400, 600, 800, each with different colorsWait, but in Pine Script, when you use arrays to store lines and labels, you have to manage them properly to avoid repainting or memory issues. The code uses array.concat to add new lines and labels each bar. However, since this code is running on each bar, the for loops might be creating multiple lines each time, leading to too many objects. Oh right, but they use var to initialize the arrays, so they are only initialized once. Wait, no. The var keyword initializes the variable once, but in each iteration, they are concatenating new lines. Wait, no: the for loops are inside the main script, which runs on each bar. So every time a new bar is processed, the loops will run again, adding new lines and labels. That's a problem because each bar would create new lines, leading to an ever-increasing number of lines, which could hit the maximum limit (max_lines_count is set to 20, but maybe they have more bars). Oh, the indicator has max_lines_count=20, but the code might be creating multiple lines per bar. So maybe the code isn't handling the line management correctly. For example, if levels_above is 2, then each bar would create 2 new lines above and 2 below, plus the mid line. Over 20 bars, that's way over 20 lines. So this could cause the indicator to stop drawing after 20 lines. The user might not have realized that the lines are being recreated every bar, leading to a buildup. But perhaps the original code intended to have the lines update each bar, extending to the current bar. Let's see: in line.new, they use bar_index as the starting x1 and bar_index as x2. So each line is drawn from the previous bar's index to the current one. But since this is done on every bar, each line is only one bar long. Wait, no. Because on each new bar, the code creates a new line from the previous bar's index (bar_index , which is now the bar before the current one) to the current bar_index. So each line is just a segment from the previous bar to the current bar. But when the next bar comes, a new line is created again. So the result is that each level line is a series of one-bar-length segments, which might not be intended. The user probably wants continuous lines that extend from the left to the right, not just per bar. So this approach is incorrect. The correct way would be to have a line that starts at the first bar of the calculation and extends to the right, updating each bar. But the current code creates a new line each bar, leading to multiple short lines instead of one continuous line. That's a mistake.
So the main issue here is that the code is generating a new line segment for each bar, which is not efficient and would quickly hit the line limit. To fix this, instead of creating a new line every bar, they should create the line once and then update its position each bar. But in Pine Script, you can't directly update a line after it's created; instead, you need to track the line ID and use line.set_xy() to extend it. However, the current code uses array.concat to add new lines each bar, which isn't the right approach.
Therefore, the code as written will create multiple short lines instead of continuous horizontal lines. The correct approach for horizontal levels that extend to the right is to create the line once, starting at a certain bar and extending indefinitely, or to update the line's end point each new bar. But in Pine Script, you can't extend lines infinitely; you have to manage them each bar. Alternatively, using the 'line.extend' style might help, but I think the original code's logic is flawed here.
Additionally, the EMA part is straightforward: plotting multiple EMAs with different periods. That part should work as expected.
So the explanation should mention that the ADR levels are calculated based on the daily high and low, then the code attempts to draw horizontal lines above and below the mid-point. However, the way the lines are drawn may lead to multiple short segments instead of continuous lines, potentially causing performance issues or hitting the maximum line count. The EMAs are plotted correctly with various periods..
Сессии 1 min (Лондон/Нью-Йорк + Close)London/NY Sessions + London Close
*Pine Script v5 - For TradingView*
EN: Visualizes trading sessions per hour:
- LON Open (08-20m) - Blue
- NY Open (28-40m) - Green
- LON Close (44-48m) - Purple
RU: Отображает торговые сессии внутри часа:
- ЛОН Open (08-20 мин) - Синий
- NY Open (28-40 мин) - Зеленый
- ЛОН Close (44-48 мин) - Фиолетовый
Features:
✔ Customizable timing
✔ Works on all timeframes
✔ Session labels
Особенности:
✔ Настройка времени
✔ Все таймфреймы
✔ Подписи сессий
Alert-ready: Use alertcondition()
Для алертов: alertcondition()
Для донатов сбербанк - 4276060043810228
Cross MA Alert 1HThe Moving Average Crossover Indicator is a technical analysis tool designed to identify potential trend changes and trading signals based on the intersection of two moving averages. It typically involves a shorter-period moving average (e.g., 3-day) and a longer-period moving average (e.g., 25-day). When the shorter moving average crosses above the longer moving average, it generates a bullish signal, suggesting a potential upward trend or buying opportunity. Conversely, when the shorter moving average crosses below the longer moving average, it produces a bearish signal, indicating a possible downward trend or selling opportunity. This indicator is widely used by traders to capture momentum shifts and filter out market noise, making it effective for both trend-following and reversal strategies
EMA 20/50/200 FIIlEMA Trend Zone Indicator
Visualize multi-timeframe momentum with dynamic color-coded EMAs
Core Functionality
This indicator plots three Exponential Moving Averages (20, 50, 200 periods) with:
Trend-responsive colors: Each EMA changes color based on its direction
Interactive zones: Two fill areas between EMAs reflecting market alignment
Visual cross alerts: Color shifts highlight potential Golden/Death Cross formations
Key Components
EMA 20: Short-term momentum (Green/Rose)
EMA 50: Medium-term trend (Blue/Orange)
EMA 200: Long-term bias (Purple/Red)
20-50 Zone: Neon Green/Red/Yellow fills showing alignment
50-200 Zone: Blue/Red/Yellow fills indicating trend hierarchy
Practical Applications
Identify confluence between timeframes
Spot early trend reversal signals
Filter false breakouts using zone colors
Confirm momentum shifts across horizons
Usage Guidelines
Apply to preferred chart (works across all markets)
Combine with:
Price action patterns
Volume indicators
Support/resistance levels
Watch for:
Sustained zone color changes
EMA crosses with matching fills
Divergence between zones
Parameters & Customization
Default EMA periods: 20/50/200
Adjustable colors via Style tab
Transparency controls for zones
Limitations
Works best in trending markets
Requires confirmation from price action
Not optimized for sideways conditions
Development Notes
Built using Pine Script v5
No repainted calculations
Relative Strength China Stock1. Purpose of the Indicator:
This indicator measures the Relative Strength (RS) of an asset compared to the Hang Seng Index (HSI). It helps traders assess whether an asset is outperforming or underperforming the Chinese stock market.
2. How It Works:
The script retrieves the closing price of the Hang Seng Index (HSI).
A 20-period Exponential Moving Average (EMA) is applied to RS for smoothing.
The script then plots:
- RS (green line): The relative strength value.
- EMA of RS (black line): A smoothed version of RS for trend analysis.
3. Interpretation of the Indicator:
RS above the EMA → The asset is outperforming the Hang Seng Index (bullish).
RS below the EMA → The asset is underperforming the Hang Seng Index (bearish).
Rising RS → The asset is gaining strength relative to the Chinese market.
Falling RS → The asset is weakening relative to the Chinese market.
4. Best Usage:
Compare individual stocks against HSI to find strong or weak performers.
Identify sector strength in the Chinese stock market.
Combine with other indicators like RSI or Moving Averages for confirmation.
HTSS v7.1 Advanced [Mum & Formasyon Analizli]karma bir giriş çıkış kodu deniyorum bkalım hayırlısı :)
DB-Global M2 Money Index//added features:
Starting Default of 70 days for Offset
Drop down option for table positioning
Custom drop down offsets for: Bitcoin, MSTR, TSLA, QQQ
Colors to indicate if above 70% green, negative = Red,
Displaying on top of table the current offset
Relative Strength USstock1. Purpose of the Indicator:
This indicator calculates the Relative Strength (RS) of the current asset compared to the S&P 500 Index (SPX). It also plots a 20-period Exponential Moving Average (EMA) of the RS to smooth the data.
2. How It Works:
The indicator retrieves the closing price of the S&P 500 Index (SPX).
It then calculates the Relative Strength (RS) by dividing the closing price of the asset by the closing price of SPX.
A 20-period EMA is applied to the RS for trend smoothing.
Finally, both the RS (green line) and the EMA (black line) are plotted on the chart.
3. How to Interpret the Indicator:
RS above the EMA → The asset is stronger than the S&P 500 (bullish signal).
RS below the EMA → The asset is weaker than the S&P 500 (bearish signal).
Rising RS → The asset is outperforming the market.
Falling RS → The asset is underperforming the market.
4. Practices:
Use this indicator to compare an asset’s strength against the overall market.
Combine with other indicators like moving averages or RSI for confirmation.
Ideal for relative strength-based trading strategies.
BTC Macro Liquidity StrategyProvides a trading strategy for Bitcoin based on US Liquidity. Goes long when US liquidity goes above the US liquidity 30 day SMA.
Multiple EMA Crossover IndicatorMultiple EMA Crossover
Green Background when:
a) EMA50 > EMA100 plus
b) Price > EMA50
Refined Combined EMA, MACD, and RSI with Volume Indicator"Refined Combined EMA, MACD, and RSI with Volume Indicator" is a complex technical analysis tool for TradingView. It combines the advantages of moving averages (EMA), MACD, RSI, and volume analysis. The indicator uses colored lines to indicate trends, crossovers, and generates buy and sell signals. It also displays estimated buying and selling pressure based on volume data on the chart, helping you make trading decisions.
Adaptive Trend NavigatorThe Adaptive Trend Navigator is a dynamic, visually striking indicator tailored for medium-term trend analysis on daily charts. With a volatility-adjusted EMA base and adaptive smoothing, it shifts seamlessly with market conditions—reacting swiftly in strong trends and smoothing noise in consolidation. Its standout feature is a bold, neon-glowing trend line that lights up your chart with vibrant precision. Key highlights include:
- **Adaptive Base**: Blends 50 and 100-period EMAs using ATR for a balance of speed and stability.
- **Dynamic Smoothing**: Adjusts from 10 to 30 periods via ADX (or toggle to fixed), delivering a sleek, EMA-like curve.
- **Trend Detection**: Locks in direction with EMA slopes, ADX strength (threshold 20), and a 5-bar persistence filter for reliable signals.
- **Neon Visuals**: A thicker, brighter trend line—blazing green for uptrends, fiery red for downtrends, and glowing orange in transition—paired with teal/fuchsia Bollinger clouds and color-coded candles.
- **Signals**: Green buy arrows for entries, red sell and divergence arrows for tops, all with matching alerts.
Ideal for swing traders and investors targeting 1-3 month moves in assets like BTC/USDT, this indicator fuses adaptive functionality with a luminous, eye-catching design that’s as bold as it is effective.
Open Range Volatility (High/Low %)Overview
The Open-to-High/Low Movement Indicator helps traders visualize the percentage change between the opening price and the highest & lowest points of each trading session. This indicator is particularly useful for identifying intraday volatility, momentum strength, and potential reversals.
Key Features
✅ Real-Time High/Low Percentage Movement – Calculates and plots the percentage movement from the opening price to both the session high (green line) and session low (red line).
✅ Separate Chart Pane – Keeps your main price chart clean while displaying movements in a separate panel.
✅ Zero Reference Line – Helps distinguish upward and downward movements.
✅ +10% and -10% Threshold Lines – Assists in identifying significant price swings.
✅ Customizable & Lightweight – Efficiently tracks market movements without slowing down your chart.
How to Use
When the green line moves higher, it indicates strong buying pressure after the open.
When the red line moves lower, it shows selling pressure from the open price.
If movements stay within a small range, the market is experiencing low volatility.
Extreme movements beyond ±10% can indicate potential breakout or reversal zones.
Best for:
📈 Day traders tracking intraday momentum
📊 Swing traders spotting volatility trends
⚡ Scalpers identifying quick price movements
💡 Volatility-based strategies
This indicator works across all timeframes and asset classes, including stocks, forex, commodities, and crypto.
🚀 Add this to your chart today and stay ahead of the market!
DAYE Session Levels QUARTERLY THEORY– M15, H1, H4📊 Indicator: Previous Session Max/Min Close Levels
🔍 Overview
This indicator displays the highest and lowest closing prices from the previous session across three key timeframes (H1, H4, M15). It is inspired by the Daye Quarterly Theory, which divides time into cyclical quartiles. These levels act as potential support/resistance zones where price often reacts.
🧠 Theoretical Foundations
Daye Quarterly Theory – Time-Based Market Structure
Monthly cycle: divided into 4 weeks, with the True Open on the second Monday (Q2).
Weekly cycle: divided into 4 days (Mon–Thu), with the True Open on Tuesday (Q2).
Daily cycle: divided into 4 sessions of 6 hours each, based on New York time:
-Q1: Asia (6 PM – 12 AM NY)
-Q2: London (12 AM – 6 AM NY) → True Daily Open
-Q3: New York (6 AM – 12 PM NY)
-Q4: PM Session (12 PM – 6 PM NY)
The indicator uses this time-based logic to calculate significant levels based on strong closes in previous sessions.
⚙️ Indicator Functions
✅ 1. Historical Levels (default mode)
Displays persistent horizontal lines at the high/low close of the previous session:
- H1: last 25 candles (1 day)
-H4: last 31 candles (1 week)
-M15: last 25 candles (6-hour session)
These levels are always visible and are drawn as thin black lines, helping traders recognize historically significant price zones.
🆕 2. Current Session Levels (optional)
When enabled, this mode shows the same previous-session high/low close only during the current session.
The levels:
-start exactly at the candle where the max/min close was registered in the previous session;
-extend up to the end of the current session;
-are automatically reset at the beginning of each new session.
These dynamic levels help monitor how price behaves around recent key zones in real time.
🧰 Custom Settings
The indicator includes two toggles:
-Show Historical Levels – enables/disables persistent previous-session levels.
-Show Current Session Levels – enables/disables live levels that appear only during the current session.
You can use either one or both simultaneously.
🧠 Ideal Use Cases
This tool is perfect for traders who:
-work with intraday or swing trading strategies;
-rely on support/resistance, market structure, or liquidity zones;
-want to identify where reversals, continuations, or breakouts are most likely;
-follow time-based cycles for confluence in execution.
📌 Final Thoughts
A simple yet powerful indicator that blends temporal cycles with price behavior, allowing traders to stay aligned with meaningful levels as markets evolve. Designed to provide clarity, structure, and precision for both discretionary and systematic trading.
vidya_calculateLibrary "vidya_calculate"
:
Calculates the Variable Index Dynamic Average (VIDYA).
Computes the VIDYA, which adjusts the degree of smoothing based on the strength of price momentum (absolute value of CMO),
and then returns the 15-period(variable) Simple Moving Average (SMA) of that VIDYA.
VIDYA tends to follow prices more closely when price fluctuations are large, and is smoothed more when fluctuations are small.
CMO = Chande Momentum Oscillator.
vidya(src, vidyaLength, vidyaMomentum, vidyaTrendPeriod)
: Calculates the Variable Index Dynamic Average (VIDYA)
Parameters:
src (float) : : Source
vidyaLength (int) : : VIDYA Length
vidyaMomentum (int) : : VIDYA Momentum
vidyaTrendPeriod (int) : : VIDYA Trend Period (Display)
Returns: : the 15-period(variable) Simple Moving Average (SMA) of that VIDYA
Big D Big RThis indicator is drawing out open candle on 1 minute from every session we have
ADR, ODR and RDR
Those lvls are acting as support for price
DAYE Session Levels QUARTERLY THEORY– M15, H1, H4📊 Indicator: Previous Session Max/Min Close Levels
🔍 Overview
This indicator displays the highest and lowest closing prices from the previous session across three key timeframes (H1, H4, M15). It is inspired by the Daye Quarterly Theory, which divides time into cyclical quartiles. These levels act as potential support/resistance zones where price often reacts.
🧠 Theoretical Foundations
Daye Quarterly Theory – Time-Based Market Structure
Monthly cycle : divided into 4 weeks, with the True Open on the second Monday (Q2).
Weekly cycle : divided into 4 days (Mon–Thu), with the True Open on Tuesday (Q2).
Daily cycle : divided into 4 sessions of 6 hours each, based on New York time:
-Q1: Asia (6 PM – 12 AM NY)
-Q2: London (12 AM – 6 AM NY) → True Daily Open
-Q3: New York (6 AM – 12 PM NY)
-Q4: PM Session (12 PM – 6 PM NY)
The indicator uses this time-based logic to calculate significant levels based on strong closes in previous sessions.
⚙️ Indicator Functions
✅ 1. Historical Levels (default mode)
Displays persistent horizontal lines at the high/low close of the previous session:
- H1: last 25 candles (1 day)
-H4: last 31 candles (1 week)
-M15: last 25 candles (6-hour session)
These levels are always visible and are drawn as thin black lines, helping traders recognize historically significant price zones.
🆕 2. Current Session Levels (optional)
When enabled, this mode shows the same previous-session high/low close only during the current session.
The levels:
-start exactly at the candle where the max/min close was registered in the previous session;
-extend up to the end of the current session;
-are automatically reset at the beginning of each new session.
These dynamic levels help monitor how price behaves around recent key zones in real time.
🧰 Custom Settings
The indicator includes two toggles:
-Show Historical Levels – enables/disables persistent previous-session levels.
-Show Current Session Levels – enables/disables live levels that appear only during the current session.
You can use either one or both simultaneously.
🧠 Ideal Use Cases
This tool is perfect for traders who:
-work with intraday or swing trading strategies;
-rely on support/resistance, market structure, or liquidity zones;
-want to identify where reversals, continuations, or breakouts are most likely;
-follow time-based cycles for confluence in execution.
📌 Final Thoughts
A simple yet powerful indicator that blends temporal cycles with price behavior, allowing traders to stay aligned with meaningful levels as markets evolve. Designed to provide clarity, structure, and precision for both discretionary and systematic trading.
Stop Loss / Take Profit Table// (\_/)
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📈 Introducing the Stop Loss / Take Profit Table Indicator! 📈
Enhance your trading strategy with our powerful Stop Loss / Take Profit Table indicator, designed for traders in the Crypto, Stock, and Forex markets. This easy-to-use tool helps you manage risk and maximize profits by clearly displaying your Stop Loss and Take Profit levels based on your trading position.
Key Features:
Custom Asset Types: Choose between Crypto, Stock, or Forex to tailor the indicator to your specific trading style.
Dynamic Stop Loss & Take Profit Calculation: Set your desired Stop Loss percentage, and the indicator will automatically calculate your Stop Loss and two Take Profit levels based on different timeframes (1 min to 240 min).
Position Type Flexibility: Whether you're trading Long or Short, the indicator adjusts the calculations accordingly, providing you with precise price levels for effective risk management.
Visual Representation: Stop Loss and Take Profit levels are marked directly on the chart with distinctive horizontal lines in vibrant colors for easy reference.
Informative Table Display: A dedicated table displayed on the chart shows your asset type, position type, and calculated prices for Stop Loss and Take Profit levels, ensuring you have all critical data at a glance.
Alert Notifications: Stay informed with optional alerts that signal when your Stop Loss or Take Profit levels are hit, allowing you to react swiftly in fast-moving markets.
Why Use This Indicator?
Managing your trades is critical for success in the financial markets. With our Stop Loss / Take Profit Table, you can easily set your parameters and visually track your risk and reward levels, making it a practical addition to any trader's toolkit.
Get started today and take control of your trading strategy! ✨
Happy trading! 📊🚀
Oracle Prediction Futur
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Indicator Description: Oracle Prediction Futur
The Oracle Prediction Futur is a sophisticated technical indicator designed for traders and analysts looking to gain insights into market trends through the analysis of price movements. This Pine Script™ code integrates innovative elements to enhance the trading experience and is governed by the Mozilla Public License 2.0.
Key Features:
Normalization of Closing Prices:
The indicator normalizes closing prices over a defined lookback period (100 periods) to provide a percentage-based representation of the current price relative to its historical range. This helps in identifying potential price extremes.
Peak and Trough Detection:
It identifies and plots peak tops and bottom troughs based on normalized closing values. Peak tops are marked with vibrant magenta circles, while peak bottoms are indicated by soothing cyan circles, helping traders visually spot significant turning points in the price action.
Dynamic Background Gradient:
The indicator features a visually appealing gradient background that represents market sentiment. The background color transitions between bear and bull colors based on the position of the normalized close within the 0-100 range. This provides an immediate visual cue about the strength or weakness of the market.
Horizontal Reference Lines:
The indicator includes horizontal lines at key levels (9.51 and 92.5) for quick reference, which can help to gauge areas of potential support or resistance.
User-Friendly Visuals:
The combination of background colors, dynamic plots, and clear labeling offers a user-friendly visual representation, making it easier to interpret market conditions at a glance.
Overlay Options:
As an overlay-free indicator, it maintains clarity on the price chart while providing insightful trends and forecasts.
Practical Application:
Traders can utilize the Oracle Prediction Futur indicator to identify potential entry and exit points in their trading strategies. By observing the peaks, troughs, and background color shifts, users can better understand market momentum and price action.
How to Use:
Deploy this indicator on your trading platform, and analyze the peaks and troughs along with the normalized close line and background gradient to inform your trading decisions. Look for alignment between price action and the signaling provided by the indicator for optimized trading results.
Multi-Timeframe EMAsMulti Timeframe EMA's
The 'Multi-Timeframe EMA Band Comparison' indicator is a tool designed to analyze trend direction across multiple timeframes using Exponential Moving Averages. it calculates the 50, 100, and 200 period EMAs for fiver user defined timeframes and compares their relationships to provide a visual snapshot of bullish or bearish momentum.
How it Works:
EMA Calculations: For each selected timeframe, the indicator computes the 50, 100, and 200 period EMAs based on the closing price.
Band Comparisons: Three key relationships are evaluated:
50 EMA vs 100 EMA
100 EMA vs 200 EMA
50 EMA vs 200 EMA
Scoring System: Each comparison is assigned a score:
🟢 (Green Circle): The shorter EMA is above the longer EMA, signaling bullish momentum.
🔴 (Red Circle): The shorter EMA is below the longer EMA, signaling bearish momentum.
⚪️ (White Circle): The EMAs are equal or data is unavailable (rare).
Average Score:
An overall average score is calculated across all 15 comparisons ranging from 1 to -1, displayed with two decimal places and color coded.
Customization:
This indicator is fully customizable from the timeframe setting to the color of the table. The only specific part that is not changeable is the EMA bands.
M2 Global Liquidity Index (Candles) - Shifted 77 Days Forwardthis is 11 weeks delayed version of m2 supply chart in candle bars published by KevinSvenson_
