XAMD/AMDX ICT 01 [TradingFinder] SMC Quarterly Theory Cycles🔵 Introduction
The XAMD/AMDX strategy, combined with the Quarterly Theory, forms the foundation of a powerful market structure analysis. This indicator builds upon the principles of the Power of 3 strategy introduced by ICT, enhancing its application by incorporating an additional phase.
By extending the logic of Power of 3, the XAMD/AMDX tool provides a more detailed and comprehensive view of daily market behavior, offering traders greater precision in identifying key movements and opportunities
This approach divides the trading day into four distinct phases : Accumulation (19:00 - 01:00 EST), Manipulation (01:00 - 07:00 EST), Distribution (07:00 - 13:00 EST), and Continuation or Reversal (13:00 - 19:00 EST), collectively known as AMDX.
Each phase reflects a specific market behavior, providing a structured lens to interpret price action. Building on the fractal nature of time in financial markets, the Quarterly Theory introduces the Four Quarters Method, where a currency pair’s price range is divided into quarters.
These divisions, known as quarter points, highlight critical levels for analyzing and predicting market dynamics. Together, these principles allow traders to align their strategies with institutional trading patterns, offering deeper insights into market trends
🔵 How to Use
The AMDX framework provides a structured approach to understanding market behavior throughout the trading day. Each phase has its own characteristics and trading opportunities, allowing traders to align their strategies effectively. To get the most out of this tool, understanding the dynamics of each phase is essential.
🟣 Accumulation
During the Accumulation phase (19:00 - 01:00 EST), the market is typically quiet, with price movements confined to a narrow range. This phase is where institutional players accumulate their positions, setting the stage for future price movements.
Traders should use this time to study price patterns and prepare for the next phases. It’s a great opportunity to mark key support and resistance zones and set alerts for potential breakouts, as the low volatility makes immediate trading less attractive.
🟣 Manipulation
The Manipulation phase (01:00 - 07:00 EST) is often marked by sharp and deceptive price movements. Institutions create false breakouts to trigger stop-losses and trap retail traders into the wrong direction. Traders should remain cautious during this phase, focusing on identifying the areas of liquidity where these traps occur.
Watching for price reversals after these false moves can provide excellent entry opportunities, but patience and confirmation are crucial to avoid getting caught in the manipulation.
🟣 Distribution
The Distribution phase (07:00 - 13:00 EST) is where the day’s dominant trend typically emerges. Institutions execute large trades, resulting in significant price movements. This phase is ideal for trading with the trend, as the market provides clearer directional signals.
Traders should focus on identifying breakouts or strong momentum in the direction of the trend established during this period. This phase is also where traders can capitalize on setups identified earlier, aligning their entries with the market’s broader sentiment.
🟣 Continuation or Reversal
Finally, the Continuation or Reversal phase (13:00 - 19:00 EST) offers a critical juncture to assess the market’s direction. This phase can either reinforce the established trend or signal a reversal as institutions adjust their positions.
Traders should observe price behavior closely during this time, looking for patterns that confirm whether the trend is likely to continue or reverse. This phase is particularly useful for adjusting open positions or initiating new trades based on emerging signals.
🔵 Settings
Show or Hide Phases.
Adjust the session times for each phase :
Accumulation: 19:00-01:00 EST
Manipulation: 01:00-07:00 EST
Distribution: 07:00-13:00 EST
Continuation or Reversal: 13:00-19:00 EST
Modify Visualization : Customize how the indicator looks by changing settings like colors and transparency.
🔵 Conclusion
AMDX provides traders with a practical method to analyze daily market behavior by dividing the trading day into four key phases: Accumulation, Manipulation, Distribution, and Continuation or Reversal. Each phase highlights specific market dynamics, offering insights into how institutional activity shapes price movements.
From the quiet buildup in the Accumulation phase to the decisive trends of the Distribution phase, and the critical transitions in Continuation or Reversal, this approach equips traders with the tools to anticipate movements and make informed decisions.
By recognizing the significance of each phase, traders can avoid common traps during Manipulation, capitalize on clear trends during Distribution, and adapt to changes in the final phase of the day.
The structured visualization of market phases simplifies decision-making for traders of all levels. By incorporating these principles into your trading strategy, you can enhance your ability to align with market trends, optimize entry and exit points, and achieve more consistent results in your trading journey.
Индикаторы и стратегии
EMAs CrossThis script generates a line that changes color when evaluating the values and intersections of the 7-, 14-, and 42-day exponential averages, indicating possible entry and exit points.
In general, yellow indicates the beginning of an uptrend, green confirms an uptrend, and brown indicates a downtrend.
Using this script together with the RSI can help you make decisions about the best times to enter and exit positions.
The script was created to generate an indicator in a separate window from the main chart, but adding this indicator to the main window can help you visualize and interpret market movements.
Crypto Value RainbowThe best way to value Crypto value is comparing Crypto price against the available money supply circulating in the economy. There are 3 different 4 different type of money supply M0/M1/M2/M3 which denotes the level of money printed by central government to the final credit lend out to the economy via fractional banking system. This rainbow valuation measures the relative Crypto price against the M0/M1/M2/M3 from most popular currency that account for more than 75% of money supply in the world.
CV = US MS + EU MS + CN MS + JP MS + UK MS
CV = Crypto Value
MS = Money Supply
This can only be applied to a few crypto currency:
- BTCUSD Bitcoin
- ETHUSD Ehereum
- BNBUSD BNB
- SOLUSD Solana
- XRPUSD XRP
- TONUSD Toncoin
- DOGEUSD Dogecoin
- TRXUSD Tron
- ADAUSD Cardano
- AVAXUSD Avalanche
The rainbow color is the multiplier for the total Crypto Value by 1x,2x,3x,...,10x
Daily MAs on Intraday ChartsThis is a very simple, yet powerful indicator, for intraday and swing traders.
The indicator plots price levels of key daily moving averages as horizontal lines onto intraday charts.
The key daily moving averages being:
5-day EMA
10-day EMA
21-day EMA
50-day SMA
100-day SMA
200-day SMA
The moving averages above can be toggled on and off to the users liking and different colours selected to show the locations of daily moving average price levels on intraday charts.
Below is a chart of the SPY on the 30-minute timeframe. The black line represents the price level of the SPY's 10-day EMA, and the blue line represents the price level of the SPY's 21-day EMA.
Key daily moving averages like those mentioned above can be areas of support or resistance for major indexes, ETFs, and individual stocks. Therefore, when using multiple timeframe analysis combining daily charts and intraday charts, it's useful to be aware of these key daily moving average levels for potential reversals.
This indicator clearly shows where the key daily moving average price levels are on intraday charts for the chosen ticker symbol, thus helping traders to identify potential points of interest for trading ideas - i.e., going long or pullbacks into key daily moving averages, or short on rallies into key daily moving averages subject to the trader's thoughts at the time.
By using the 'Daily MAs on Intraday Charts' the trader can now have a multi-chart layout and be easily aware of key price levels from daily moving averages when looking at various intraday timeframe charts such as the 1-minute, 5-minute, 15-minute, 30-minute, 1-hour etc. This can be essential information for opening long and short trading ideas.
Order blocksHi all!
This indicator will show you found order blocks that can be used as supply or demand. It's my take on trying to create good order blocks and I hope it makes sense.
First off I suggest to verify the current trend before using an order block. This can be done in a variety of ways, one way could be to use my other script "Market structure" () which I use and suggest.
You can configure the indicator to behave differently depending on settings. These are the settings available:
• The order blocks created can be found in any higher timeframe defined in "Timeframe"
• The number of active order blocks are defined in "Count". If an order block is found the earliest order block will be replaced
• You can choose the type of order blocks that are found ("Bullish", "Bearish " or "Both") in "Type"
• The old order blocks can be kept if "Keep history" is checked
• Order blocks that are found are not removed when mitigated (entered) but when a new one appears. They can be removed when they are broken by price if "Remove broken zones" are checked
There is also a setting section called "Requirements" that defines what is required for an order block to be created. These are the settings:
• "Take out"
Check this if you want the base of the order block (the candle where the zone is drawn from (high and low)) to have to take out the previous candle (be higher or lower depending if the order block is bullish or bearish).
• "Consecutive rising/falling"
Each following candle in the reaction (the 3 reaction candles) needs to reach higher or lower (depending on bullish or bearish). Check this if you want that to be true.
• "Reaction"
Some sort of reaction is needed from the 3 candles creating the order block. This reaction is based on the value of the Average True Length (ATR) of length 14. You can here define a factor of the value from the ATR that these 3 candles needs to move in price. A higher need for a reaction (higher factor of the ATR) will create lesser zones. You can also choose to show this limit with the checkbox.
• "Fair Value Gap"
The reaction needs to create a gap (imbalance) in price. This gap is known as a "Fair Value Gap" and is created when the last candle's wick does not meet with the base candle's wick. Check this if you want this to be needed.
After these settings you can also choose the colors of the created zones. The ones that are active (called "Zones"), the ones that are replaced ("Replaced zones") and the ones that are broken ("Broken zones") (if this is enabled in "Remove broken zones").
I'm using my library "Touched" to be able to show you labels when the order blocks have a retest, false breakout and breakout. These labels can be hidden if you disable the labels under the style tab in the indicator settings.
The concept of order blocks is widely used among traders and can provide you with good supply or demand zones. I hope that this indicator makes sense.
My todo-list has a few things, but top of that list is adding alerts for zone interactions or creations. Please feel free to say what you want to be coded!
The order blocks in the publication chart are found in weekly timeframe but are shown on the daily timeframe. Other than that the image shows you zones from the default settings (which are based on the daily timeframe).
Best of luck trading!
Bull Bear Candles with Volume ProfileUser Guide for Bull Bear Candles Indicator with Keltner Channels
Author: NellyN
Introduction
This indicator helps identify potential bullish and bearish trends in the market by analyzing buying and selling volume over two configurable timeframes. It calculates the percentage of buying and selling volume and displays the current market condition based on two moving averages for 2 periods.
Key Features
• Volume Analysis : Calculates Buy and Sell Volume for two configurable timeframes (e.g., 5 min, 15 min, 15 min. and 1 hour, etc.) and displays them as percentages.
• Moving Averages : Uses one Moving Average (MA) for two different time periods to identify trends (uptrend when shorter-term MA is above longer-term MA). You can also choose other Moving Average types like SMA, EMA, WMA, RMA, VWMA, or HMA.
• Colored Candles : Candles are colored green for bullish conditions, red for bearish conditions, and gray for neutral conditions.
• Market Condition Labels : Displays labels in table-view indicating the current market condition based on Buy and Sell Volume (Very Bullish, Very Bearish, Bullish/Bearish Retracement, Chop).
• Alerts: Generates alerts for potential buy and sell signals based on indicator conditions (Note: Enable alerts in the indicator settings).
• Visual Signals: Provides visual signals through colored candles and market condition labels in addition to alerts.
Input Parameters
• Source: Close price (default) or Heikin Ashi
• Timeframe: Select the timeframe for price and volume data used in the indicator (e.g., Daily, Hourly).
• Colored Candles On: Enable (True) or disable (False) coloring candles based on market conditions.
• Enable Alerts: Enable (True) or disable (False) alerts for buy/sell signals.
• Length of MA: Sets the length for the MAs used in trend identification (minimum 1).
• Lookback Period Vol. 1 & 2: Define the timeframes used to calculate buying and selling volume and the MA calculation (e.g., 5 min, 15 min).
Understanding the Outputs
• Cloud Fill: The area between two MAs is filled with a color that reflects the trend (green for uptrend, red for downtrend).
• Table: Shows Buy Volume, Sell Volume, Buy Percentage, Sell Percentage, and the current Market Condition Labels. (If you decide to see them uncomment them from the code simply removing the // in front of the code)
• Colored Candles and Market Condition Labels: Look for green candles and bullish labels for potential buying opportunities, and vice versa for red candles and bearish labels.
Bullish green label appears when short-term MA is above long-term MA AND Buy Volume percentage is greater than 50%.
Red cross for exiting long entry appears when we have bearish volume OR bearish crossover of the MA for the 2 periods.
Bearish red label appears when short-term MA is below long-term MA AND Buy Volume percentage is less than 50%.
Green cross for exiting short entry appears when we have bullish volume OR bullish crossover of the MA for the 2 periods.
• Bullish/Bearish Retracement: The moving averages indicate a potential trend reversal, while the Buy Volume percentage suggests a continuation of the prior trend. The candle color may be green, red, or gray depending on the current price position relative to the moving averages.
• Chop (Gray Candle): The moving averages are flat and the Buy Volume percentage is not significantly above or below 50%.
• Buy/Sell Alerts: The indicator generates alerts based on specific conditions, but these should be used in conjunction with other trading strategies and careful risk management.
Important Notes
• This indicator is for informational purposes only and should not be considered financial advice. Back-test the indicator with historical data to understand its performance before using it for live trading.
• Combine this indicator with other technical analysis tools.
ORB Screener with Trailing SLThis is an extension to our already published script ORB with ATR Trailing SL indicator
Many people requested to add screener to the existing indicator but since it's slowing down the performance heavily, we decided to add this as a separate screener.
Note: This screener does NOT plot the chart and so you want to have both plotting and screener, use both scripts together.
Overview:
The ORB Screener is a TradingView indicator designed to assist traders in identifying breakout opportunities based on the Opening Range Breakout (ORB) strategy. It features multi-symbol screening, customizable session timeframes, and a detailed table for quick visual reference and stock scanning.
The ORB Screener utilizes the ORB strategy to calculate breakout levels for multiple symbols. It identifies the high and low during a specified session (e.g., first 5 minutes after market open) and provides insights on whether the price is above the high (bullish), below the low (bearish), or between the range (neutral).
Additionally, the script calculates and displays the RSI values for each symbol, aiding traders in assessing momentum alongside breakout status.
Note: One can add up to 40 symbols for screening the stocks.
Key Features and Inputs:
ORB Session Time: Define a specific timeframe (e.g., "0915-0920") during which the ORB high and low are calculated. This serves as the foundation for identifying breakouts.
Multi-Symbol Screening: Screen up to 40 symbols at once, enabling you to monitor multiple opportunities without switching charts.
Breakout Validation:
Select from two methods for confirming a breakout: Close (based on closing prices) or Touch (based on intraday highs/lows).
Breakout Status Indicators:
Above High: Indicates a current bullish breakout when the price exceeds the ORB high.
Below Low: Indicates a current bearish breakout when the price falls below the ORB low.
Between Range: Indicates no breakout (price remains within the range).
RSI Integration : Calculates the RSI for each symbol to help traders evaluate momentum alongside breakout signals.
Customizable Table Display:
Position: Place the data table at the top, middle, or bottom of the chart and align it left, center, or right.
Size: Choose from multiple table size options for optimal visibility (Auto, Huge, Large, Normal, Small, Tiny).
Visual Feedback:
Green Background: Indicates a breakout happened at least once above the ORB high.
Red Background: Indicates a breakout happened at least once below the ORB low.
Gray Background: Indicates price is within the ORB range.
3 Confirmation BearThe "3 Confirmation Bear" indicator is designed to help traders identify strong bearish market conditions with three key confirmations:
Price Below EMA15:
The price trading below the 15-period Exponential Moving Average (EMA) signals bearish momentum.
RSI Below a Threshold:
The Relative Strength Index (RSI) is below a user-defined threshold (default: 50), confirming a lack of bullish strength and momentum favoring the downside.
Downtrend Confirmation:
The indicator ensures the market is in a downtrend by checking for lower highs and lower lows over a specified lookback period.
Key Features:
Bearish Signals: Displays a red downward-pointing label above the price bar when all three conditions are met, making bearish setups easy to identify.
Customizable Inputs: Traders can adjust the EMA length, RSI threshold, and downtrend lookback period to suit their specific strategies.
Versatile Application: Ideal for short entries, trend validation, or avoiding long trades during bearish conditions.
How to Use:
Use the "3 Confirmation Bear" indicator to:
Confirm Short Trades: Enter bearish trades when the signal aligns with your strategy.
Validate Trends: Ensure a clear downtrend is present before committing to a position.
Filter Trades: Avoid long positions during bearish momentum.
This indicator simplifies decision-making by focusing on high-probability bearish setups. Perfect for day traders, swing traders, and those seeking clear confirmation before entering a trade.
3 Confirmation Bull This script is designed to help traders identify strong bullish conditions by providing a signal when three key confirmations align:
Price is Above the 15-period EMA:
This shows that the price is trading above a short-term average, a sign of bullish momentum.
RSI is Above a Threshold:
The Relative Strength Index (RSI) is used to measure the strength of price movements. When RSI is above the user-defined threshold (default 50), it indicates bullish momentum and avoids overbought zones.
Price is in an Uptrend:
An uptrend is confirmed when there are both higher highs and higher lows over a specified lookback period. This ensures that the price structure supports upward movement.
Key Features:
Visual Alerts: A green label appears below the price bar whenever all three conditions are met, making it easy to spot trading opportunities.
Customizable Settings: Adjust the EMA length, RSI threshold, and uptrend lookback period to match your trading style or timeframe.
Versatility: Suitable for intraday, swing, or positional trading in trending markets.
How to Use:
This indicator is ideal for traders looking to confirm a bullish setup. Use it to:
Enter Trades: As confirmation for long positions when the signal appears.
Validate Trends: Ensure conditions are favorable before committing to a trade.
Combine with Other Strategies: Enhance your trading system by pairing it with volume analysis, candlestick patterns, or support/resistance levels.
By combining these three confirmations, the script helps traders filter out false signals and focus on higher-probability setups, streamlining their decision-making process.
Custom Ratio IndicatorThis indicator allows users to compare the price ratio of two customizable trading pairs. By dividing the closing price of the first trading pair by the second, it calculates and plots the resulting ratio on the chart. It is designed for traders who want to analyze correlations or relative performance between two assets. The default pairs are ETHUSDT and BTCUSDT, and users can customize these inputs. The indicator supports high precision to ensure accurate representation of small or large ratios. Additionally, the current ratio is dynamically displayed on the chart for easy reference.
Previous Day and Current Day High/LowKey Features:
Previous Day High and Low Lines:
Displays the high (PDH) and low (PDL) levels of the previous trading day.
Allows customization of line colors, styles (solid, dashed, or dotted), and widths.
Extends these lines by a specified number of candles into the current day for better visualization.
Current Day High and Low Lines:
Displays the high (CDH) and low (CDL) levels during the current day's regular trading hours.
Customizable line attributes, including color, style, width, and extension length.
Customizable Input Options:
User-configurable settings for both the previous and current day high/low lines, grouped under respective sections for clarity.
Regular trading hours can be defined manually (default is 9:30 AM to 4:00 PM).
Ability to toggle the visibility of the lines for both the previous and current days.
Automatic Reset at the Start of a New Day:
Captures the high and low values of the completed day and resets for the new day.
Deletes old lines and labels to ensure clarity and avoid overlap.
Dynamic Updates:
Updates the current day's high and low lines and labels as new data comes in.
Adjusts previous day lines dynamically based on the user-defined number of candles to extend.
Session-Based Filtering:
Ensures the calculations and updates are restricted to the defined regular trading hours.
Code Logic:
Input Groups: The script uses grouped inputs to allow users to configure settings for previous and current day levels separately.
Line and Label Management: It creates and deletes lines and labels dynamically to prevent clutter and keep the chart organized.
Session Check: Uses the session input to determine if a bar falls within regular trading hours.
High/Low Calculation: Tracks the high and low for both the previous and current days during regular trading hours.
New Day Detection: Identifies the start of a new trading day to update previous day values and reset current day variables.
Applications:
Intraday Trading: Helps traders identify critical support and resistance levels from the previous and current days.
Trend Analysis: Provides visual cues for price movement trends across consecutive days.
Custom Visualization: With extensive customization options, traders can adapt the indicator to suit their trading style and chart aesthetics.
This script is highly configurable, making it versatile for a wide range of trading strategies and styles.
Advanced MVRV Trend AnalyzerThe "Advanced MVRV Trend Analyzer" is a sophisticated trading tool designed for the TradingView platform that enhances traditional Market Value to Realized Value (MVRV) analysis. It provides a multi-timeframe perspective of market valuation dynamics by comparing the current market price to the realized price across short-term, mid-term, and long-term cohorts. This indicator is particularly useful for cryptocurrency traders and investors who seek deeper insights into potential overvaluation or undervaluation conditions in the market.
Key Features
Multiple Timeframes:
Analyzes market conditions across three distinct timeframes: short-term (14 days), mid-term (50 days), and long-term (200 days).
Moving Averages: Includes moving averages for each MVRV ratio to smooth out short-term fluctuations and highlight longer-term trends.
Dynamic Thresholds: Provides dynamic color-coded backgrounds that highlight overvalued and undervalued market conditions based on predefined thresholds.
How to Use
Adding the Indicator:
Open your TradingView chart.
Click on "Indicators" at the top of your screen.
Search for "Advanced MVRV Trend Analyzer" and add it to your chart.
Interpreting the Indicator:
MVRV Lines: Each of the three MVRV lines (short-term, mid-term, long-term) reflects how much higher or lower the current market price is compared to the average price at which coins were last moved. A value above 1 indicates that the current price is higher than the realized price, suggesting overvaluation. Conversely, a value below 1 suggests undervaluation.
Moving Averages: The moving averages of the MVRV ratios help identify the underlying trend. If the MVRV line deviates significantly from its moving average, it might indicate a potential reversal or continuation of the current trend.
Color-coded Backgrounds:
Red background indicates an overvalued condition where the MVRV ratio exceeds 1.5, suggesting caution as the market may be overheated.
Green background indicates an undervalued condition where the MVRV ratio is below 0.5, potentially signaling a buying opportunity.
Trading Strategies:
Overvalued Zones: Consider taking profits or setting stop-loss orders when the indicator shows a prolonged red background, especially if supported by other bearish signals.
Undervalued Zones: Look for buying opportunities when the indicator shows a prolonged green background, especially if other bullish signals are present.
Combining with Other Indicators:
Enhance your analysis by combining the "Advanced MVRV Trend Analyzer" with other technical indicators such as RSI, MACD, or volume-based tools to confirm trends and signals.
Conclusion
The "Advanced MVRV Trend Analyzer" offers a nuanced view of market dynamics, providing traders with valuable insights into when a market may be approaching extremes. By utilizing this indicator, traders can better time their entries and exits, manage risk, and align their strategies with underlying market trends.
MegaGas Bollinger Bands with Divergence and Circle SignalsIndicator: MegaGas Bollinger Bands with Divergence and Circle Signals
This script provides a powerful combination of Bollinger Bands, RSI Divergence detection, and signal visualization tools. Designed with flexibility and precision in mind, it aims to assist traders in identifying trend reversals, volatility zones, and divergence-based trading opportunities. The script is well-suited for swing trading, momentum trading, and even scalping when adapted to lower timeframes.
How It Works:
Bollinger Bands:
Bollinger Bands are used to detect price volatility and overbought/oversold conditions. The script calculates:
Basis Line: A 34-period Simple Moving Average (SMA) as the core trend line.
Upper Bands: Bands positioned 1x and 2x the standard deviation above the SMA.
Lower Bands: Bands positioned 1x and 2x the standard deviation below the SMA. These levels provide dynamic support and resistance zones, highlighting breakout and reversion opportunities.
RSI Divergence Detection:
The indicator detects bullish divergence (when RSI forms a higher low while price forms a lower low) and bearish divergence (when RSI forms a lower high while price forms a higher high). These divergences often precede significant reversals or momentum shifts.
Bullish divergence is displayed with blue triangles (up).
Bearish divergence is displayed with orange triangles (down).
Buy and Sell Signals:
Circle Signals are generated when price crosses key Bollinger Bands levels:
A green circle appears when the price crosses above the lower band (potential buy signal).
A red circle appears when the price crosses below the upper band (potential sell signal).
These signals help identify potential entry and exit points for trades, particularly in trend-following or mean-reversion strategies.
Trend Reference (Moving Average):
A 50-period Simple Moving Average (SMA) is included as a trend reference, helping traders gauge the overall market direction. Use this to confirm divergence signals and avoid trades against the prevailing trend.
Why This Indicator Is Unique:
This script integrates multiple tools in a meaningful way, emphasizing contextual trading signals. Unlike standalone Bollinger Bands or RSI indicators, it introduces:
Advanced Divergence Analysis: Enhancing traditional RSI with divergence-based alerts.
Dynamic Signal Filtering: Preventing repetitive signals by introducing state-based logic for circles and divergence signals.
Trend Alignment: Combining Bollinger Bands with an SMA to filter trades based on the prevailing trend.
How to Use:
Setup:
Apply the indicator to any chart and timeframe. For swing trading, higher timeframes like 4H or 1D are recommended.
Adjust the RSI, Bollinger Bands, and Moving Average lengths to match your strategy and asset.
Signals:
Look for divergence signals (triangles) as early warnings of trend reversals. Confirm these with price action or other tools.
Use circle signals (green/red) to time potential entries/exits around Bollinger Band extremes.
Confirmation:
Combine divergence and circle signals with the SMA line to avoid counter-trend trades. For example, take bullish signals when the price is above the SMA and bearish signals when it is below.
Chart Clarity:
The script is published with a clean chart for clarity. It visualizes all signals with distinct shapes (triangles and circles) and colors, ensuring they are easily recognizable. Bollinger Bands and the SMA are plotted with transparency to avoid clutter.
Originality:
This script is a thoughtful blend of Bollinger Bands and RSI divergence detection, carefully designed to provide traders with actionable insights. It introduces state-based logic to manage repetitive signals and seamlessly integrates trend filtering, making it a valuable tool for both novice and experienced traders.
XAUUSD Weekly Gap Indicator (oberlunar)The XAUUSD Weekly Gap Indicator is a technical tool designed specifically for tracking weekly price gaps in the XAUUSD (gold) market. It identifies and visualizes the price difference between the Friday close and the Monday open, providing valuable insights into market dynamics over the weekend.
Gap Detection:
Measures the price difference between Friday's closing price and Monday's opening price.
Highlights whether the gap is bullish (Monday opens above Friday’s close) or bearish (Monday opens below Friday’s close).
Visualization:
Draws a line or rectangle to connect the Friday close and the Monday open, clearly marking the gap on the chart.
Displays an indicator label with the gap value, often in pips or points, to quantify the gap size.
Color Coding:
Green: Bullish gap (positive price movement).
Red: Bearish gap (negative price movement).
Market Sentiment:
Large gaps can indicate significant market sentiment shifts due to weekend events, such as economic reports or geopolitical news.
Support and Resistance:
Weekly gaps often act as temporary support or resistance levels, as the market may attempt to revisit or "fill" the gap.
Trading Strategies:
Gap Filling: XAUUSD often tends to "fill" these gaps, providing trading opportunities.
Continuation or Reversal: The reaction to the gap can signal whether the trend is likely to continue or reverse.
McRib Bull Market Indicator# McRib Bull Market Indicator
## Overview
The McRib Bull Market Indicator is a unique technical analysis tool that marks McDonald's McRib sandwich release dates on your trading charts. While seemingly unconventional, this indicator serves as a fascinating historical reference point for market analysis, particularly for studying periods of market expansion.
## Key Features
- Visual yellow labels marking verified McRib release dates from 2012 to 2024
- Clean, unobtrusive design that overlays on any chart timeframe
- Covers both U.S. and international releases (including UK and Australia)
## Historical Reference Points
The indicator includes release dates from:
- December 2012
- October-December 2014
- January 2015
- October 2016
- November 2017
- October 2018
- October 2019
- December 2020
- October 2022
- November 2023
- December 2024
## Usage Guide
1. Add the indicator to any chart by searching for "McRib Bull Market Indicator"
2. The indicator will automatically display yellow labels above price candles on McRib release dates
3. Use these reference points to:
- Analyze market conditions during McRib releases
- Study potential correlations between releases and market movements
- Compare market behavior across different McRib release periods
- Identify any patterns in market expansion phases coinciding with releases
## Trading Application
While initially created as a novelty indicator, it can be used to:
- Mark specific historical points of reference for broader market analysis
- Study potential market psychology around major promotional events
- Compare seasonal market patterns with recurring release dates
- Analyze market expansion phases that coincide with releases
Remember: While this indicator provides interesting historical reference points, it should be used as part of a comprehensive trading strategy rather than as a standalone trading signal.
4-Hour Moving AveragesTitle: 4-Hour Moving Averages Indicator
Description:
The "4-Hour Moving Averages" indicator is designed to help traders easily visualize key moving averages derived from the 4-hour timeframe, regardless of the chart interval they are using. This indicator plots four moving averages: a 15-period SMA (Short-Term), a 35-period SMA (Intermediate-Term), an 80-period SMA (Long-Term), and a 130-period SMA (Confirmation).
These moving averages provide a balanced approach for identifying short, medium, and long-term trends, as well as confirming significant market movements. Ideal for swing traders and those looking for clear trend signals, the indicator can be used for various markets, including stocks, forex, and cryptocurrencies.
The 4-hour moving averages overlay directly on the price chart, allowing for easy analysis of current price movements relative to important trend indicators. Use this script to enhance your trading decisions, identify opportunities, and avoid market traps by relying on consistent moving average trends.
Features:
- 15 SMA for Short-Term Trends (in red)
- 35 SMA for Intermediate-Term Trends (in orange)
- 80 SMA for Long-Term Trends (in green)
- 130 SMA for Confirmation (in blue)
Feel free to modify the settings to suit your specific strategy and market conditions.
Sri Yantra MTF - AynetSri Yantra MTF - Aynet Script Overview
This Pine Script generates a Sri Yantra-inspired geometric pattern overlay on price charts. The pattern is dynamically updated based on multi-timeframe (MTF) inputs, utilizing high and low price ranges, and adjusting its size relative to a chosen multiplier.
The Sri Yantra is a sacred geometric figure used in various spiritual and mathematical contexts, symbolizing the interconnectedness of the universe. Here, it is applied to visualize structured price levels.
Scientific and Technical Explanation
Multi-Timeframe Integration:
Base Timeframe (baseRes): This is the primary timeframe for the analysis. The opening price and ATR (Average True Range) are calculated from this timeframe.
Pattern Timeframe (patternRes): Defines the granularity of the pattern. It ensures synchronization with price movements on specific time intervals.
Geometric Construction:
ATR-Based Scaling: The script uses ATR as a volatility measure to dynamically size the geometric pattern. The sizeMult input scales the pattern relative to price volatility.
Pattern Width (barOffset): Defines the horizontal extent of the pattern in terms of bars. This ensures the pattern is aligned with price movements and scales appropriately.
Sri Yantra-Like Geometry:
Outer Square: A bounding box is drawn around the price level.
Triangles: Multiple layers of triangles (primary, secondary, and tertiary) are calculated and drawn to mimic the structure of the Sri Yantra. These triangles converge and diverge based on price levels.
Horizontal Lines: Added at key levels to provide additional structure and aesthetic alignment.
Dynamic Updates:
The pattern recalculates and redraws itself on the last bar of the selected timeframe, ensuring it adapts to real-time price data.
A built-in check identifies new bars in the chosen timeframe (patternRes), ensuring accurate updates.
Information Table:
Displays the selected base and pattern timeframes in a table format on the top-right corner of the chart.
Allows traders to see the active settings for quick adjustments.
Key Inputs
Style Settings:
Pattern Color: Customize the color of the geometric patterns.
Size Multiplier (sizeMult): Adjusts the size of the pattern relative to price movements.
Line Width: Controls the thickness of the geometric lines.
Timeframe Settings:
Base Resolution (baseRes): Timeframe for calculating the pattern's anchor (default: daily).
Pattern Resolution (patternRes): Timeframe granularity for the pattern’s formation.
Geometric Adjustments:
Pattern Width (barOffset): Horizontal width in bars.
ATR Multiplier (rangeSize): Vertical size adjustment based on price volatility.
Scientific Concepts
Volatility Representation:
ATR (Average True Range): A standard measure of market volatility, representing the average range of price movements over a defined period. Here, ATR adjusts the vertical height of the geometric figures.
Geometric Symmetry:
The script emulates symmetry similar to the Sri Yantra, aligning with the principles of sacred geometry, which often appear in nature and mathematical constructs. Symmetry in financial data visualizations can aid in intuitive interpretation of price movements.
Multi-Timeframe Fusion:
Synchronizing patterns with multiple timeframes enhances the relevance of overlays for different trading strategies. For example, daily trends combined with hourly patterns can help traders optimize entries and exits.
Visual Features
Outer Square:
Drawn to encapsulate the geometric structure.
Represents the broader context of price levels.
Triangles:
Three layers of interlocking triangles create a fractal pattern, providing a visual alignment to price dynamics.
Horizontal Lines:
Emphasize critical levels within the pattern, offering visual cues for potential support or resistance areas.
Information Table:
Displays the active timeframe settings, helping traders quickly verify configurations.
Applications
Trend Visualization:
Patterns overlay on price movements provide a clearer view of trend direction and potential reversals.
Volatility Mapping:
ATR-based scaling ensures the pattern adjusts to varying market conditions, making it suitable for different asset classes and trading strategies.
Multi-Timeframe Analysis:
Integrates higher and lower timeframes, enabling traders to spot confluences between short-term and long-term price levels.
Potential Enhancements
Add Fibonacci Levels: Overlay Fibonacci retracements within the pattern for deeper price level insights.
Dynamic Alerts: Include alert conditions when price intersects key geometric lines.
Custom Labels: Add text descriptions for critical intersections or triangle centers.
This script is a unique blend of technical analysis and sacred geometry, providing traders with an innovative way to visualize market dynamics.
Adaptive Moving AveragesThe Adaptive Moving Averages indicator stands out with several unique features that set it apart from traditional moving average indicators. Its most remarkable characteristic is the ability to automatically adjust the length of moving averages based on the chosen timeframe. This ensures consistency in analysis regardless of the time scale used, eliminating the need for manual recalculation of appropriate periods for each timeframe. It allows for a more fluid and accurate multi-temporal analysis.
Another innovative aspect is the indicator's consideration of different market types (stocks, forex, crypto). This approach recognizes the fundamental differences between these markets in terms of trading hours, allowing for more precise and representative calculations for each asset class. It offers increased flexibility for traders operating across various markets.
The method for calculating periods for different moving averages (week, month, quarter, semester, year) is particularly sophisticated. It takes into account the specifics of each market, such as trading days and opening hours, automatically adapting to timeframe changes. This ensures a more accurate representation of actual trading periods rather than arbitrary approximations.
The indicator offers a wide choice of moving average types, allowing traders to use their preferred method or compare different approaches. This flexibility adapts to various trading styles and technical analysis strategies, offering the possibility to experiment and find the most effective combination for each market or asset.
In conclusion, this indicator distinguishes itself through its ability to intelligently adapt to different trading contexts, offering a versatile and sophisticated solution for technical analysis. Its flexibility and adaptive approach make it a particularly interesting tool for traders seeking consistent analysis across different markets and time scales.
Optimized Future Time Cycles V2Time Cycle-Based Indicator Overview
This script utilizes Time Cycles to visually display the periodic fluctuations of the past and future, helping to predict key market turning points and trend shifts.
The indicator is fully customizable and marks periodic vertical lines and labels on the chart based on a specified reference date.
1. Key Features
Time Cycle Settings
Displays various user-defined time cycles (e.g., 9 days, 17 days, 26 days) visually on the chart.
Each cycle is distinguished by unique colors and labels for clear identification.
Allows users to set a reference date, from which past and future cycles are calculated.
Past and Future Cycle Visualization
Future Cycles:
Predicts potential points of market fluctuations or trend changes in the future.
Vertical lines represent future turning points based on the defined time cycles.
Past Cycles:
Displays how cyclical patterns manifested in historical market data.
Helps identify recurring patterns and similar historical market conditions.
Customizable Visuals
Adjust line styles (solid, dashed, etc.) and label spacing for a cleaner chart, even with multiple cycles displayed.
Separately toggle the visibility of past and future cycles for a more tailored analysis experience.
2. How to Use and Interpret the Indicator
Setting the Reference Date
The reference date is crucial for this indicator and works best when set to significant market events or turning points.
Both past and future cycles are calculated based on the reference date, and overlapping cycles may indicate periods of high volatility or strong trend shifts.
Cycle Analysis
Interpretation by Cycle Duration:
Short-term Cycles (9, 17 days): Useful for predicting quick market fluctuations.
Mid- to Long-term Cycles (26, 52, 200 days): Ideal for identifying major trend changes.
Overlapping Cycles:
When multiple cycles converge, significant turning points or strong market movements are likely.
Importance of Past Cycles
Past cycles are invaluable for identifying repetitive patterns in the market.
For example, analyzing strong turning points from past cycles can help anticipate similar scenarios in the future.
3. Tips for Using the Indicator
Optimize Line Styles:
When displaying both past and future cycles, charts may become cluttered. Adjusting line styles or colors can help maintain visual clarity.
Short-term vs. Long-term Cycles:
Short-term Cycles: Best suited for strategies like scalping or day trading.
Long-term Cycles: Useful for capturing major trend shifts or identifying macroeconomic changes.
Recommended Combination with Other Indicators:
Combine the Time Cycle indicator with moving averages, wave indicators, RSI, or Bollinger Bands for better results.
The time cycle identifies the timing of turning points, while tools like moving averages or RSI provide insights into trend direction during these critical moments.
4. Conclusion
This Time Cycle indicator visualizes past and future periodic fluctuations, enabling effective predictions of market trends and turning points.
The reference date and overlapping cycles are essential for pinpointing critical turning points.
The newly added past cycle visualization feature enhances the ability to recognize recurring patterns and leverage historical data for more accurate predictions.
시간 주기(Time Cycle) 기반 지표 소개
이 스크립트는 **시간 주기(Time Cycle)**를 활용해 과거와 미래의 주기적 변동을 시각적으로 보여주어, 시장의 추세 변화 시점과 변곡점을 예측하는 데 도움을 줍니다.
지표는 사용자 정의가 가능하며, 설정된 기준 날짜를 기반으로 주기적인 수직선과 레이블을 차트에 표시합니다.
1. 주요 기능
시간 주기 설정
사용자가 설정한 다양한 시간 주기(예: 9일, 17일, 26일 등)를 시각적으로 표시.
각 주기는 고유한 색상과 레이블로 구분되어 명확하게 차트에 나타납니다.
**기준 날짜(reference date)**를 설정하여, 해당 날짜를 기준으로 과거와 미래의 주기를 계산합니다.
미래와 과거 주기 표시
미래 주기:
미래의 시장 변동 시점이나 추세 변화 가능성이 높은 지점을 예측할 수 있습니다.
설정된 시간 주기에 따라 미래 변곡점을 차트에 수직선으로 나타냅니다.
과거 주기:
과거 시장에서 주기적 변동이 어떻게 나타났는지 확인 가능합니다.
이를 통해 반복되는 패턴이나 과거와 유사한 시장 상황을 파악할 수 있습니다.
시각적 사용자 설정
수직선 스타일(실선, 점선 등)과 레이블 간격을 조정하여, 복잡한 차트에서도 깔끔하게 정보를 확인할 수 있습니다.
과거와 미래의 주기 표시를 개별적으로 조정 가능하여 사용자 맞춤형 분석이 가능합니다.
2. 지표 사용 및 해석 방법
기준 날짜 설정
**기준 날짜(reference date)**는 시장에서 중요한 변동이 있었던 날을 기준으로 설정하는 것이 가장 효과적입니다.
기준 날짜를 기반으로 과거와 미래 주기가 계산되며, 주기가 겹치는 시점에서 강한 변동성이 나타날 가능성이 높습니다.
주기 분석
주기별 해석:
단기 주기 (9일, 17일): 빠른 변동성을 예측.
중·장기 주기 (26일, 52일, 200일): 큰 추세 변화를 예측.
주기가 겹치는 시점은 중요한 변곡점이 될 가능성이 크며, 추세 전환의 신호로 볼 수 있습니다.
과거 주기의 중요성
과거 주기는 시장의 반복 패턴을 찾는 데 유용합니다.
예를 들어, 과거 주기에서 강한 변곡점이 나타났던 시점을 분석하면, 미래에도 유사한 상황이 발생할 가능성을 예측할 수 있습니다.
3. 지표 활용 팁
수직선 스타일 최적화:
과거와 미래 주기를 모두 표시하면 차트가 복잡해질 수 있으므로, 선 스타일이나 색상을 조정하여 시각적으로 덜 혼란스럽게 설정하세요.
단기 vs. 장기 주기:
단기 주기는 스캘핑과 같은 빠른 매매 전략에 유용하며,
장기 주기는 대세 추세 변화를 포착하는 데 유리합니다.
결합 사용 추천:
시간 주기(Time Cycle) 지표는 이평선 파동 지표 또는 RSI, 볼린저 밴드와 함께 사용하면 더욱 효과적입니다.
시간 주기는 변곡점의 시점을 알려주고, 이평선 파동이나 RSI는 그 시점에서의 추세 방향성을 보완해 줍니다.
4. 결론
이 시간 주기(Time Cycle) 지표는 과거와 미래의 주기적 변동을 시각화하여, 시장의 추세 변화와 변곡점을 효과적으로 예측할 수 있습니다.
특히, 기준 날짜 설정과 주기적 겹침은 중요한 변곡점을 파악하는 핵심입니다.
새롭게 추가된 과거 주기 표시 기능은 반복 패턴을 확인하고 과거 데이터를 바탕으로 더 정교한 예측을 가능하게 합니다.
Pivotal Point Detection
The indicator highlights price gaps (overnight gaps) with significantly increased volume in the daily chart only. These price jumps can occur after earnings reports or other significant news and often point to an important event (e.g., a new product or business model). According to Jesse Livermore, these are called Pivotal Points.
The price jumps displayed by the indicator are not a guarantee that they represent a true Pivotal Point, but they provide a hint of a significant business development - especially when they occur repeatedly alongside revenue growth. This can help identify potentially strong growth stocks and high-performing investments. However, the underlying events and connections must be investigated through additional research.
make posible to find stocks like:
NYSE:PLTR NASDAQ:ROOT NASDAQ:NVDA NYSE:CVNA NYSE:LRN
A "pivotal price line" is drawn at the opening price of the Pivotal Point. This line is considered a support level. If the price falls below this line, the Pivotal Point loses its validity.
MACD -- Normalized█ OVERVIEW
This indicator is a normalized and scaled version of the Moving Average Convergence Divergence ( MACD ) indicator, inspired by the work in "Statistically Sound Indicators" by Timothy Masters. It enhances the traditional MACD by applying statistical normalization and scaling techniques, providing more consistent and reliable signals across different markets and timeframes.
█ CONCEPTS
The traditional MACD measures the difference between two Exponential Moving Averages ( EMAs ) of different lengths to identify momentum changes. However, its raw values are unbounded, making it challenging to compare across different instruments or timeframes.
This normalized MACD addresses this limitation by:
• Normalization : Adjusting the MACD values using the Average True Range ( ATR ) to account for market volatility.
• Scaling : Applying the Cumulative Distribution Function ( CDF ) to constrain the output between -50 and +50.
• Smoothing : Providing a smoothed signal line and histogram to effectively visualize momentum shifts.
█ FEATURES
• Normalized MACD Line : Computes the difference between the short-term and long-term EMAs, normalized by market volatility.
• Signal Line : Applies EMA smoothing to the normalized MACD line over a user-defined period.
• Histogram : Visualizes the difference between the normalized MACD line and the signal line, highlighting momentum changes.
• Customization Options :
• Adjustable lengths for the short-term EMA, long-term EMA, and signal line smoothing.
• Ability to toggle the visibility of the MACD line, signal line, and histogram.
• Statistical Scaling : Utilizes statistical methods from Timothy Masters' work to provide consistent scaling across different instruments.
█ HOW TO USE
1 — Identify Momentum Shifts :
• A crossover of the MACD line above the signal line may indicate a bullish momentum shift.
• A crossover of the MACD line below the signal line may indicate a bearish momentum shift.
2 — Analyze the Histogram :
• A rising histogram suggests strengthening momentum in the current trend direction.
• A falling histogram may signal weakening momentum or a potential reversal.
3 — Customize Parameters :
• Adjust the EMA lengths and smoothing periods to fit the specific instrument or timeframe.
• Use the visibility toggles to focus on the components most relevant to your analysis.
4 — Combine with Other Tools :
• Use in conjunction with support/resistance levels, trend lines, or other indicators to confirm signals.
• Consider the overall market context to enhance decision-making.
█ LIMITATIONS
• The indicator is based on historical price data; it may not predict future market movements accurately.
• May produce false signals during low volatility or ranging market conditions.
• Initial periods may display na values due to insufficient data for calculations.
█ NOTES
• Ensure that the MathHelpers library by HuntGatherTrade is imported for the indicator to function correctly.
• The default parameters are commonly used settings but may require adjustments based on the trading instrument and timeframe.
• The normalization and scaling techniques are designed to make the indicator's outputs more comparable across different markets.
Bayesian Price Projection Model [Pinescriptlabs]📊 Dynamic Price Projection Algorithm 📈
This algorithm combines **statistical calculations**, **technical analysis**, and **Bayesian theory** to forecast a future price while providing **uncertainty ranges** that represent upper and lower bounds. The calculations are designed to adjust projections by considering market **trends**, **volatility**, and the historical probabilities of reaching new highs or lows.
Here’s how it works:
🚀 Future Price Projection
A dynamic calculation estimates the future price based on three key elements:
1. **Trend**: Defines whether the market is predisposed to move up or down.
2. **Volatility**: Quantifies the magnitude of the expected change based on historical fluctuations.
3. **Time Factor**: Uses the logarithm of the projected period (`proyeccion_dias`) to adjust how time impacts the estimate.
🧠 **Bayesian Probabilistic Adjustment**
- Conditional probabilities are calculated using **Bayes' formula**:
\
This models future events using conditional information:
- **Probability of reaching a new all-time high** if the price is trending upward.
- **Probability of reaching a new all-time low** if the price is trending downward.
- These probabilities refine the future price estimate by considering:
- **Higher volatility** increases the likelihood of hitting extreme levels (highs/lows).
- **Market trends** influence the expected price movement direction.
🌟 **Volatility Calculation**
- Volatility is measured using the **ATR (Average True Range)** indicator with a 14-period window. This reflects the average amplitude of price fluctuations.
- To express volatility as a percentage, the ATR is normalized by dividing it by the closing price and multiplying it by 200.
- Volatility is then categorized into descriptive levels (e.g., **Very Low**, **Low**, **Moderate**, etc.) for better interpretation.
---
🎯 **Deviation Limits (Upper and Lower)**
- The upper and lower limits form a **projected range** around the estimated future price, providing a framework for uncertainty.
- These limits are calculated by adjusting the ATR using:
- A user-defined **multiplier** (`factor_desviacion`).
- **Bayesian probabilities** calculated earlier.
- The **square root of the projected period** (`proyeccion_dias`), incorporating the principle that uncertainty grows over time.
🔍 **Interpreting the Model**
This can be seen as a **dynamic probabilistic model** that:
- Combines **technical analysis** (trends and ATR).
- Refines probabilities using **Bayesian theory**.
- Provides a **visual projection range** to help you understand potential future price movements and associated uncertainties.
⚡ Whether you're analyzing **volatile markets** or confirming **bullish/bearish scenarios**, this tool equips you with a robust, data-driven approach! 🚀
Español :
📊 Algoritmo de Proyección de Precio Dinámico 📈
Este algoritmo combina **cálculos estadísticos**, **análisis técnico** y **la teoría de Bayes** para proyectar un precio futuro, junto con rangos de **incertidumbre** que representan los límites superior e inferior. Los cálculos están diseñados para ajustar las proyecciones considerando la **tendencia del mercado**, **volatilidad** y las probabilidades históricas de alcanzar nuevos máximos o mínimos.
Aquí se explica su funcionamiento:
🚀 **Proyección de Precio Futuro**
Se realiza un cálculo dinámico del precio futuro estimado basado en tres elementos clave:
1. **Tendencia**: Define si el mercado tiene predisposición a subir o bajar.
2. **Volatilidad**: Determina la magnitud del cambio esperado en función de las fluctuaciones históricas.
3. **Factor de Tiempo**: Usa el logaritmo del período proyectado (`proyeccion_dias`) para ajustar cómo el tiempo afecta la estimación.
🧠 **Ajuste Probabilístico con la Teoría de Bayes**
- Se calculan probabilidades condicionales mediante la fórmula de **Bayes**:
\
Esto permite modelar eventos futuros considerando información condicional:
- **Probabilidad de alcanzar un nuevo máximo histórico** si el precio sube.
- **Probabilidad de alcanzar un nuevo mínimo histórico** si el precio baja.
- Estas probabilidades ajustan la estimación del precio futuro considerando:
- **Mayor volatilidad** aumenta la probabilidad de alcanzar niveles extremos (máximos/mínimos).
- **La tendencia del mercado** afecta la dirección esperada del movimiento del precio.
🌟 **Cálculo de Volatilidad**
- La volatilidad se mide usando el indicador **ATR (Average True Range)** con un período de 14 velas. Este indicador refleja la amplitud promedio de las fluctuaciones del precio.
- Para obtener un valor porcentual, el ATR se normaliza dividiéndolo por el precio de cierre y multiplicándolo por 200.
- Además, se clasifica esta volatilidad en categorías descriptivas (e.g., **Muy Baja**, **Baja**, **Moderada**, etc.) para facilitar su interpretación.
🎯 **Límites de Desviación (Superior e Inferior)**
- Los límites superior e inferior representan un **rango proyectado** en torno al precio futuro estimado, proporcionando un marco para la incertidumbre.
- Estos límites se calculan ajustando el ATR según:
- Un **multiplicador** definido por el usuario (`factor_desviacion`).
- Las **probabilidades condicionales** calculadas previamente.
- La **raíz cuadrada del período proyectado** (`proyeccion_dias`), lo que incorpora el principio de que la incertidumbre aumenta con el tiempo.
---
🔍 **Interpretación del Modelo**
Este modelo se puede interpretar como un **modelo probabilístico dinámico** que:
- Integra **análisis técnico** (tendencias y ATR).
- Ajusta probabilidades utilizando **la teoría de Bayes**.
- Proporciona un **rango de proyección visual** para ayudarte a entender los posibles movimientos futuros del precio y su incertidumbre.
⚡ Ya sea que estés analizando **mercados volátiles** o confirmando **escenarios alcistas/bajistas**, ¡esta herramienta te ofrece un enfoque robusto y basado en datos! 🚀
Close Minus Moving Average█ OVERVIEW
The Close Minus Moving Average (CMMA) is a statistically robust mean reversion indicator designed to identify potential reversal points in the market. By analyzing the relationship between the closing price and its moving average, CMMA provides traders with actionable insights to enhance their trading strategies.
Important
This indicator requires the use of the MathHelpers library published by HuntGatherTrade
█ CONCEPTS
The CMMA indicator operates by calculating the logarithmic difference between the current closing price and its simple moving average (SMA). This difference is then normalized using the Average True Range (ATR) to account for market volatility. The resulting value is transformed using the Cumulative Distribution Function (CDF) to produce a standardized metric that oscillates around zero.
Key Steps :
Logarithmic Calculation: Computes the natural logarithm of the closing prices.
Moving Average: Applies a simple moving average to the logarithmic closing prices.
ATR Normalization: Utilizes ATR to normalize the difference, ensuring the indicator adapts to varying market conditions.
CDF Transformation: Transforms the normalized difference to a scale that highlights mean reversion tendencies.
Mean Reversion
Mean reversion is a financial theory suggesting that asset prices and historical returns eventually return to the long-term mean or average level of the entire dataset. The CMMA leverages this concept to signal potential entry and exit points based on deviations from the moving average.
█ FEATURES
Adaptive Normalization: Utilizes ATR to adjust for market volatility, ensuring consistent performance across different market conditions.
Statistical Robustness: Built upon methodologies from Timothy Masters, ensuring reliable mean reversion signals.
Clear Visuals: Differentiates positive and negative deviations with distinct color coding for easy interpretation.
Customizable Parameters: Allows users to adjust lookback periods and ATR lengths to tailor the indicator to their specific trading needs
.
█ HOW TO USE
Add the Indicator :
Navigate to the Pine Script editor on TradingView.
Paste the CMMA script and add it to your chart.
Adjust Parameters :
Lookback Period: Determines the number of periods for calculating the moving average of the logarithmic close. Default is 1.
ATR Length: Sets the number of periods for ATR calculation. Default is 252.
Interpret Signals :
Green Plot: Indicates that the closing price is above the moving average, suggesting bullish momentum.
Red Plot: Indicates that the closing price is below the moving average, suggesting bearish momentum.
Zero Line: Serves as a reference point for mean reversion signals.
Trading Strategy :
Buy Signal: When CMMA crosses above the zero line, indicating a potential upward reversal.
Sell Signal: When CMMA crosses below the zero line, indicating a potential downward reversal.
█ LIMITATIONS
Lagging Indicator: As with all moving averages, CMMA is based on historical data and may lag during rapid market movements.
Parameter Sensitivity: The effectiveness of CMMA can vary based on the chosen lookback and ATR periods. Users should optimize these parameters based on the specific asset and timeframe.
Market Conditions: Best suited for mean-reverting markets and may underperform in trending or highly volatile environments.
█ NOTES
Version Compatibility: The CMMA script is written in Pine Script™ version 6. Ensure your TradingView environment supports this version.
License: This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0. Read the license here.
