3D Surface Modeling [PhenLabs]📊 3D Surface Modeling
Version: PineScript™ v6
📌 Description
The 3D Surface Modeling indicator revolutionizes technical analysis by generating three-dimensional visualizations of multiple technical indicators across various timeframes. This advanced analytical tool processes and renders complex indicator data through a sophisticated matrix-based calculation system, creating an intuitive 3D surface representation of market dynamics.
The indicator employs array-based computations to simultaneously analyze multiple instances of selected technical indicators, mapping their behavior patterns across different temporal dimensions. This unique approach enables traders to identify complex market patterns and relationships that may be invisible in traditional 2D charts.
🚀 Points of Innovation
Matrix-Based Computation Engine: Processes up to 500 concurrent indicator calculations in real-time
Dynamic 3D Rendering System: Creates depth perception through sophisticated line arrays and color gradients
Multi-Indicator Integration: Seamlessly combines VWAP, Hurst, RSI, Stochastic, CCI, MFI, and Fractal Dimension analyses
Adaptive Scaling Algorithm: Automatically adjusts visualization parameters based on indicator type and market conditions
🔧 Core Components
Indicator Processing Module: Handles real-time calculation of multiple technical indicators using array-based mathematics
3D Visualization Engine: Converts indicator data into three-dimensional surfaces using line arrays and color mapping
Dynamic Scaling System: Implements custom normalization algorithms for different indicator types
Color Gradient Generator: Creates depth perception through programmatic color transitions
🔥 Key Features
Multi-Indicator Support: Comprehensive analysis across seven different technical indicators
Customizable Visualization: User-defined color schemes and line width parameters
Real-time Processing: Continuous calculation and rendering of 3D surfaces
Cross-Timeframe Analysis: Simultaneous visualization of indicator behavior across multiple periods
🎨 Visualization
Surface Plot: Three-dimensional representation using up to 500 lines with dynamic color gradients
Depth Indicators: Color intensity variations showing indicator value magnitude
Pattern Recognition: Visual identification of market structures across multiple timeframes
📖 Usage Guidelines
Indicator Selection
Type: VWAP, Hurst, RSI, Stochastic, CCI, MFI, Fractal Dimension
Default: VWAP
Starting Length: Minimum 5 periods
Default: 10
Step Size: Interval between calculations
Range: 1-10
Visualization Parameters
Color Scheme: Green, Red, Blue options
Line Width: 1-5 pixels
Surface Resolution: Up to 500 lines
✅ Best Use Cases
Multi-timeframe market analysis
Pattern recognition across different technical indicators
Trend strength assessment through 3D visualization
Market behavior study across multiple periods
⚠️ Limitations
High computational resource requirements
Maximum 500 line restriction
Requires substantial historical data
Complex visualization learning curve
🔬 How It Works
1. Data Processing:
Calculates selected indicator values across multiple timeframes
Stores results in multi-dimensional arrays
Applies custom scaling algorithms
2. Visualization Generation:
Creates line arrays for 3D surface representation
Applies color gradients based on value magnitude
Renders real-time updates to surface plot
3. Display Integration:
Synchronizes with chart timeframe
Updates surface plot dynamically
Maintains visual consistency across updates
🌟 Credits:
Inspired by LonesomeTheBlue (modified for multiple indicator types with scaling fixes and additional unique mappings)
💡 Note:
Optimal performance requires sufficient computing resources and historical data. Users should start with default settings and gradually adjust parameters based on their analysis requirements and system capabilities.
Bands and Channels
Initial Balance Wave MapThis indicator visualizes the Initial Balance (IB) range for any session, marking the first hour's high and low. It includes optional midpoints, extensions (e.g. 1.5x IB, 2x IB), and customizable time windows. Additional features allow users to display session open, high, low, close, and VWAP reference points. Designed to support price action and session structure analysis, it adapts to various global futures and FX market opens. All display elements are optional and fully configurable.
This updated indicator builds upon the open-source foundation by @noop-noop with enhancements and user-facing labels tailored for Auction Market Theory, scalping, and structure-based trade setups.
Key updated Featured: Multiple previous day's IB levels carry forward into the current day's chart, as opposed to just the previous day's levels carrying forward to the new IB time.
🙌 Credits:
This script builds upon the excellent open-source work by @noop-noop. Original script available here .
Customizable ORB BoxCustomizable ORB Box
📘 Description
A powerful and flexible Opening Range Breakout (ORB) visualization tool designed for intraday traders. This indicator plots the opening range using either the first candle or a user-defined custom timeframe, and updates in real time.
🔧 Key Features
First Candle Mode – Plots the high/low range of the first candle of each new trading day.
Custom Timeframe Mode – Builds the ORB box live over a chosen duration (e.g., 5, 15, 30 minutes) and finalizes it after the timeframe completes.
Dynamic Box Colors – Bullish and bearish color themes based on range closure direction.
Multi-Day Plotting – Displays ORB boxes across all days, not just today.
Alerts Included – Triggers when price breaks above or below the ORB range.
No repainting – Stable and historical-friendly behavior.
🕒 ETH Compatibility
This indicator respects your TradingView chart settings:
✅ If ETH is enabled, ORB begins with the first ETH candle.
✅ If ETH is disabled, ORB begins with Regular Trading Hours (RTH).
Tip: Control this via the chart’s ⚙️ “Session” settings for your instrument.
💡 How to Use
Use First Candle Mode for classic ORB strategy setups (quick early structure).
Use Custom Timeframe Mode on smaller timeframes (e.g., 3min) for dynamic range-building.
Combine with volume, VWAP, trendlines, or price action for breakout confirmation.
Multi-Mode MACD Signals v2Multi-Mode MACD Signals v2
Signal Types Explained ⚙️
You can now choose your preferred signal from a dropdown menu in the indicator's settings:
Pullback (Default): The original, high-probability strategy. It identifies "buy the dip" and "sell the rally" opportunities within an established trend.
Buy: Triggers on a bullish MACD/Signal line cross above the zero line.
Sell: Triggers on a bearish MACD/Signal line cross below the zero line.
Standard Crossover: The most common MACD signal. It's a pure momentum signal that triggers whenever the MACD line crosses the signal line, regardless of the trend.
Buy: MACD line crosses above the Signal line.
Sell: MACD line crosses below the Signal line.
Zero Line Cross: A trend-change signal. It identifies when the overall momentum shifts from bullish to bearish or vice-versa.
Buy: MACD line crosses above the Zero line.
Sell: MACD line crosses below the Zero line.
How Signals Are Displayed (Real-time vs. Confirmed)
This indicator addresses your request to have signals "display as it occurs" automatically. Here is how it works:
Real-time Alert (As it Occurs): On a live, developing candle, a "BUY" or "SELL" label may appear the instant the MACD conditions are met. This gives you the earliest possible warning.
Signal Repainting: Because the price is still moving within the live candle, the signal may appear and later disappear if the conditions are no longer met by the time the candle closes. This is known as "repainting".
Confirmed Signal: Once the candle closes, the signal is locked in and will never change. This is the confirmed, non-repainting signal.
To create alerts based on these signals, right-click a label on the chart, select "Add alert on Multi-Mode MACD Signals," and choose "Once Per Bar Close" for a confirmed signal or "Once Per Bar" for an earlier, real-time alert.
Pivot Channel LevelsPivot Channel Levels
Indicator Description
“Pivot Channel Levels” is an advanced technical analysis tool that identifies key price pivots (highs and lows) and creates dynamic support and resistance levels based on the wicks of candles at these points (or bodies if wicks are minimal). The indicator analyzes the volume at the time of a pivot’s formation, displaying its value and percentage change relative to the volume’s simple moving average (SMA).
It does not generate buy/sell signals but provides a clear visualization of market structure, helping traders identify potential price reaction zones and assess the strength of market movements.
Why Are Wicks Important?
Candle wicks at price pivots indicate significant market reactions in key areas. Depending on the context, they may signal rejection, testing, or absorption of a support or resistance level. Long wicks often appear where large players are active, and the marked zones are frequently retested. The indicator allows for quick identification and observation of their impact on future price action.
Why Use It?
- Precise Support and Resistance Levels: The indicator draws price channels based on candle wicks at pivots (or bodies if wicks are absent), enabling better identification of zones where price may react.
- Volume Analysis: It shows how the volume at a pivot differs from the average, indicating potential activity by large players or key market moments.
- Visual Clarity: Colored lines, channel fills, and clear labels facilitate quick chart analysis, even on short timeframes.
- Flexibility: Adjustable pivot length, volume average, and label colors allow customization to various trading strategies.
How It Works
- Pivot Detection: Automatically identifies local highs and lows based on the “Pivot Length” parameter (default: 20 candles). This means a pivot appears on the chart with a 20-candle delay. Reducing this value allows faster pivot detection (after fewer candles), increasing their number but potentially generating more noise.
- Channel Creation: Draws support and resistance levels based on the wicks of candles at pivot points (or bodies if wicks are minimal) with a delay to confirm zones. A pivot channel is drawn until the next pivot is identified, but if not previously broken, it remains valid as active support or resistance.
- Volume Analysis: Displays the volume at the pivot’s formation and its percentage change relative to the volume’s SMA.
- Visualization: Pivot and channel levels are shown as lines with fills, and labels display volume and its deviation from the average.
Trading Applications
- Swing Trading: Use pivot levels and channels to identify price reversal points or consolidation zones.
- Scalping: Monitor price reactions to channels on short timeframes, especially with high volume.
- Faster Pivot Identification: Switch to a lower timeframe (e.g., from H1 to M15) to identify pivots more quickly, allowing earlier reactions to price changes.
- Market Context Analysis: High volume at pivots may indicate significant levels likely to be retested.
- Combining with Other Tools: The indicator pairs well with Fibonacci retracement, supply/demand zones, or oscillators like RSI.
Settings and Customization
- Pivot Length: Determines how many candles back and forward are analyzed to detect pivots (default: 20). A smaller value increases sensitivity, a larger one enhances stability.
- Volume Average: Length of the SMA for volume (default: 20). Adjust to better reflect market characteristics.
- Label Colors: Choose colors for bullish and bearish pivot labels to match your chart style.
Usage Examples
- Identifying Key Zones: If the price approaches a pivot level with high volume (e.g., +50% relative to SMA), it may signal strong support or resistance.
- Breakout Confirmation: A channel breakout with high volume can indicate trend continuation.
- Price Reaction Analysis: Long wicks at pivots with high volume may signal level rejection by large players.
Notes for Users
- The indicator performs best on highly liquid markets (e.g., Forex, indices, cryptocurrencies).
- On short timeframes (e.g., M1, M5), it may generate more noise—adjust “Pivot Length” to suit your needs.
- Consider combining with other indicators to confirm signals derived from pivot and volume analysis.
Linear Regression Channels📈 Linear Regression Channels
🌟 Overview
A professional dual linear regression channel indicator designed for comprehensive trend analysis. This powerful tool provides simultaneous short-term and long-term trend perspectives through two independent regression channels with customizable standard deviation bands.
🔧 Core Features
📊 Dual Channel System
Channel 1: 43-period regression analysis for long-term trend identification
Channel 2: 20-period regression analysis for short-term momentum tracking
Independent Configuration: Each channel fully customizable with separate parameters
Real-Time Updates: Dynamic calculations with every new candle
📐 Standard Deviation Bands
Multiple Levels: Configurable deviation bands (1σ, 2σ, 3σ)
Dynamic Support/Resistance: Automatically calculated price levels
Trend Boundaries: Clear visualization of trend strength and direction
Statistical Precision: Mathematically accurate regression calculations
🎨 Customization Options
🎭 Visual Styling
Individual Colors: Separate color schemes for each channel
Line Styles: Choose between Solid, Dashed, or Dotted lines
Line Width: Adjustable thickness (1-5 pixels) for optimal visibility
Extension Options: Project lines into the future for analysis
⚙️ Technical Parameters
Period Length: Fully adjustable lookback periods
Source Selection: Choose from Close, Open, High, Low, or custom sources
Deviation Levels: Customizable standard deviation multipliers
Display Control: Toggle individual channels on/off
📈 Trading Applications
🎯 Trend Analysis
Dual Timeframe Perspective: Simultaneous short and long-term view
Trend Confirmation: When both channels align in direction
Trend Strength: Measured by price position within channels
🔍 Support & Resistance
Dynamic Levels: Standard deviation bands as S/R zones
Channel Boundaries: Natural support and resistance areas
Confluence Trading: Multiple level confirmations
⚡ Entry & Exit Signals
Channel Breakouts: Trend continuation opportunities
Mean Reversion: Trades back to center line
Channel Crossovers: When price moves between timeframes
🚀 Key Benefits
✅ Multi-Timeframe Analysis - Complete market perspective
✅ Mathematical Precision - Least squares regression accuracy
✅ High Customization - Adaptable to any trading style
✅ Clean Interface - Professional chart appearance
✅ Performance Optimized - Smooth real-time operation
✅ Versatile Application - Works on all markets and timeframes
💡 Professional Usage
Combine both channels for confluence signals
Use longer channel for overall trend bias
Trade shorter channel signals within longer trend
Monitor channel width for volatility analysis
Essential tool for traders seeking precise trend analysis and dynamic support/resistance levels.
Turtle Trading System + ATR Trailing StopIndicator Description: Turtle ATR Trailing Stop
The **Turtle ATR Trailing Stop** is a technical indicator designed to enhance the classic Turtle Trading System by incorporating a dynamic trailing stop based on the Average True Range (ATR). This indicator is ideal for traders seeking to manage risk and lock in profits on both long and short positions in trending markets.
Key Features:
- Turtle Trading Levels: Calculates the 20-day highest high and lowest low to identify potential breakout points, a core principle of the Turtle Trading System.
- ATR-Based Trailing Stop: Utilizes a trailing stop that adjusts dynamically based on a multiple of the ATR (default multiplier: 2.0), providing a volatility-adjusted exit mechanism.
- Position Flexibility: Supports both long and short positions, with the trailing stop positioned below the highest price for long trades and above the lowest price for short trades.
- Smooth Updates: The trailing stop updates on each bar, ensuring a more responsive adjustment to price movements, rather than only on new highs or lows.
- Reset Mechanism: Automatically resets the trailing stop when the price deviates significantly (configurable threshold, default 0.1%), adapting to major trend reversals.
- Alerts: Includes customizable alerts that trigger when the price reaches the trailing stop level, notifying traders of potential exit points.
- Debugging Tools: Features an on-chart debug table displaying ATR, Close, Highest Price, Lowest Price, Potential Stop, and Trailing Stop values for real-time analysis.
How It Works:
- For **Long Positions**: The trailing stop starts below the initial close price (minus 2*ATR) and moves up as the highest price increases, locking in profits while trailing at a fixed ATR distance.
- For **Short Positions**: The trailing stop starts above the initial close price (plus 2*ATR) and moves down as the lowest price decreases, protecting against upward price movements.
- The stop resets if the price falls (for long) or rises (for short) beyond the set threshold, ensuring adaptability to new market conditions.
Customization:
- Period Settings: Adjust the length for highs/lows (default 20) and ATR period (default 14).
- ATR Multiplier: Modify the distance of the trailing stop (default 2.0).
- Reset Threshold: Fine-tune the percentage at which the stop resets (default 0.1%).
- Position Type: Switch between "Long" and "Short" modes via input settings.
Usage:
Apply this indicator to any chart in TradingView, set your preferred parameters, and monitor the trailing stop line (yellow) alongside the Turtle highs (red) and lows (blue). Use the debug table to validate calculations and set alerts to stay informed of stop triggers.
This indicator combines the trend-following strength of the Turtle System with a flexible, ATR-based stop-loss strategy, making it a powerful tool for both manual and automated trading strategies.
Previous Day OHLC + Open MarkerPrevious Day OHLC + Open Marker
This indicator is designed to help traders quickly identify the most important price levels from the previous trading session and today’s open. It provides a clean and configurable overlay of the previous day’s OHLC (Open, High, Low, Close) along with the current day's opening price, making it easy to spot price reactions, liquidity sweeps, and confluence zones.
📌 Key Features
✅ Previous Day OHLC Lines
Plots horizontal lines for High (H), Low (L), Open (O), and Close (C) from the previous session
Each line is independently toggleable
Fully customizable in color, transparency, and thickness
✅ Today's Session Open (DO)
Marks the current day's opening price
Helps identify directional bias, trend/momentum shifts, or mean-reversion points
✅ Minimalist Labels for Clarity
Text-only labels like H, L, O, C, and DO — no bulky label boxes
Color-matched to each line for visual simplicity
Optional display to keep charts clean
✅ Session-Based Highlight Zone
Optionally highlights the area between the previous day’s High and Low with a shaded box
Useful for identifying the day’s value area or range breakouts
✅ Smart Alerts
Receive alerts when price crosses any of the levels: PDH, PDL, PDO, PDC, or Today’s Open
Helps you catch key interactions without watching the chart constantly
🧠 Ideal For
Intraday traders using VWAP, order blocks, or liquidity concepts
Swing traders who want to see how current price relates to prior structure
Scalpers looking for clean levels to enter fades, reversals, or breakouts
Anyone applying institutional trading concepts (PDH/PDL sweeps, FVGs, BPRs, etc.)
⚙️ Customization Options
Toggle each level (H/L/O/C/DO) individually
Show or hide labels and highlight zone
Customize color, line thickness, and transparency
Clean layout — no line extensions across the entire chart
🧼 Design Philosophy
This script was created for clarity, speed, and minimalism. It avoids clutter while preserving all the crucial context price action traders need. Labels are informative but unobtrusive, and alerts help automate level tracking.
🛠 Built with Pine Script v5
🔔 Alerts Included
📊 Optimized for both intraday and swing trading
📦 Lightweight and modular by design
Moving Liquidation PreferenceVersion 0.1
The indicator provides an indication of the "Moving Liquidation Preference" for Strategy's ( NASDAQ:MSTR ) preferred equities ( NASDAQ:STRK , NASDAQ:STRF , NASDAQ:STRF ). The author attempts to accurately recreate the values based on information available in SEC disclosures and using public stock trading data. Since these are open to interpretation and the data may not be the golden truth for determining the liquidation preference, the author explicitly indicates that the information provided by this indicator is non-indicative and not meant to supersede information provided by Strategy directly. It is meant for entertainment purposes only, not for use in financial decision making.
The author has made every attempt to be as accurate as possible, but mistakes invariably occur and should be reported to the author if discovered.
The script will be updated as new preferred stock is issued via ATM or other sales for as long as the author is willing and able to do so.
Why is the script private?
This script includes data on the issuance of Strategy preferred equity ( NASDAQ:STRK , NASDAQ:STRF , NASDAQ:STRF ) that was manually determined by the author after going through countless hours of SEC disclosures. Since there is no publicly available repository for this information and the author would like to retain the right to make this available at a later date, the script is kept private. In addition, the data may be faulty and should not be relied upon for financial decision making. This indicator is not financial advise, nor does it purport to replace professional guidance. Use at your own risk!
Bitcoin Cycle Log-Curve (JDK-Analysis)Important: The standard parameters provided in the script are specifically tuned for the TradingView Bitcoin Index chart on a monthly timeframe on logarithmic scale, and will yield the most accurate visual alignment when applied to that dataset. (more below)
This very simple script visualizes Bitcoin’s long-term price behavior using a logarithmic regression model designed to reflect the cyclical nature of Bitcoin’s historical market trends. Unlike typical technical indicators that react to recent price movements, this tool is built on the assumption that Bitcoin follows an exponential growth path over time, shaped by its fixed supply structure and four-year halving cycles.
The calculation behind the curved bands:
An upper boundary, a lower boundary, and a central midline, are calculated based on logarithmic functions applied to the bar index (which serves as a proxy for time). The upper and lower bounds are defined using exponential formulas of the type y = exp(constant + coefficient * log(bar_index)), allowing the curves to evolve dynamically over time. These bands serve as a macro-level guide for identifying periods of historical overvaluation (upper red curve) and undervaluation (lower green curve), with a central black curve representing the geometric average of the two.
How to customize the parameters:
The lower1_const and upper1_const values vertically shift the respective lower and upper curves—more negative values push the curve downward, while higher values lift it.
The lower1_coef and upper1_coef control the steepness of the curves over time, with higher values resulting in faster growth relative to time.
The shift_factor allows for uniform vertical adjustment of all curves simultaneously.
Additionally, the channel_width setting determines how far the mirrored bands extend from the original curves, creating a visual “channel” that can highlight more conservative or aggressive valuation zones depending on preference.
How to use this indicator:
This indicator is not intended for short-term trading or intraday signals. Rather, it serves as a contextual framework for long-term investors to identify high-risk zones near the upper curve and potential long-term value opportunities near the lower curve. These areas historically align with cycle tops and bottoms, and the model helps to place current price action within that broader cyclical narrative. While the concept draws inspiration from Bitcoin’s halving-driven market cycles and exponential adoption curve, the implementation is original in its use of time-based logarithmic regression to define dynamic trend boundaries.
It is best used as a strategic tool for cycle analysis, macro positioning, and trend anchoring—rather than as a short-term signal provider.
ORB Norman (2 Sessions, Auto Timezone)ORB Norman (2 Sessions, Auto Timezone)
This script plots Opening Range Breakout (ORB) levels for two configurable sessions. It’s designed for intraday traders—especially in futures markets like Gold (GC), Nasdaq (NQ), and S&P (ES)—who trade based on early session breakouts or range rejections. Unlike standard indicators, this tool auto-adjusts for timezones based on the instrument, ensuring precise session alignment.
Features:
Automatically adjusts for NQ/ES (Chicago time) and GC (New York time) based on the symbol.
Plots high, low, and optional midpoint lines for each session.
Clean, minimal settings with visual separation for better usability.
Ray extension length is fully customizable.
Works on any intraday chart (recommended: 5–15 minute timeframes).
Includes customizable session times, colors, ray length, and an optional midpoint line.
Default Sessions:
Session 1:
‣ 07:00–08:00 EST for GC
‣ 06:00–07:00 CT for NQ/ES
Session 2:
‣ 09:30–09:45 EST for GC
‣ 08:30–08:45 CT for NQ/ES
This tool is ideal for traders who scalp the early morning breakout or look for range rejections based on the opening auction.
This script was developed from scratch based on the author's own intraday trading needs.
Golden Ratio Trend Persistence [EWT]Golden Ratio Trend Persistence
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Overview
The Golden Ratio Trend Persistence is a dynamic tool designed to identify the strength and persistence of market trends. It operates on a simple yet powerful premise: a trend is likely to continue as long as it doesn't retrace beyond the key Fibonacci golden ratio of 61.8%.
This indicator automatically identifies the most significant swing high or low and plots a single, dynamic line representing the 61.8% retracement level of the current move. This line acts as a "line in the sand" for the prevailing trend. The background color also changes to provide an immediate visual cue of the current market direction.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The Power of the Golden Ratio (61.8%)
The golden ratio (ϕ≈1.618) and its inverse (0.618, or 61.8%) are fundamental mathematical constants that appear throughout nature, art, and science, often representing harmony and structure. In financial markets, this ratio is a cornerstone of Fibonacci analysis and is considered one of the most critical levels for price retracements.
Market movements are not linear; they progress in waves of impulse and correction. The 61.8% level often acts as the ultimate point of support or resistance. A trend that can hold this level demonstrates underlying strength and is likely to persist. A breach of this level, however, suggests a fundamental shift in market sentiment and a potential reversal.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
How to Use This Indicator
This indicator is designed for clarity and ease of use.
Identifying the Trend : The visual cues make the current trend instantly recognizable.
A teal line with a teal background signifies a bullish trend. The line acts as dynamic support.
A maroon line with a maroon background signifies a bearish trend. The line acts as dynamic resistance.
Confirming Trend Persistence : As long as the price respects the plotted level, the trend is considered intact.
In an uptrend, prices should remain above the teal line. The indicator will automatically adjust its anchor to new, higher lows, causing the support line to trail the price.
In a downtrend, prices should remain below the maroon line.
Spotting Trend Reversals : The primary signal is a trend reversal, which occurs when the price closes decisively beyond the plotted level.
Potential Sell Signal : When the price closes below the teal support line, it indicates that buying pressure has failed, and the uptrend is likely over.
Potential Buy Signal : When the price closes above the maroon resistance line, it indicates that selling pressure has subsided, and a new uptrend may be starting.
Think of this tool as an intelligent, adaptive trailing stop that is based on market structure and the time-tested principles of Fibonacci analysis.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Input Parameters
You can customize the indicator's sensitivity through the following inputs in the settings menu:
Pivot Lookback Left : This number defines how many bars to the left of a candle must be lower (for a pivot high) or higher (for a pivot low) to identify a potential swing point. A higher value will result in fewer, but more significant, pivots being detected.
Pivot Lookback Right : This defines the number of bars that must close to the right before a swing point is confirmed. This parameter prevents the indicator from repainting. A higher value increases confirmation strength but also adds a slight lag.
Fibonacci Ratio : While the default is the golden ratio (0.618), you can adjust this to other key Fibonacci levels, such as 0.5 (50%) or 0.382 (38.2%), to test for different levels of trend persistence.
Adjusting these parameters allows you to fine-tune the indicator for different assets, timeframes, and trading styles, from short-term scalping to long-term trend following.
Elite Trend FusionThis indicator combines multiple technical analysis tools to assist traders in identifying trends, support/resistance levels, and potential trading opportunities. Developed by @IQ-TRADER with contributions to the Alpha Section by @KivancOzbilgic, this script overlays the following components on your chart:
EMA1: A customizable Exponential Moving Average for short-term trend analysis.
SMA Cluster (50, 100, 200): Simple Moving Averages on daily timeframes to identify long-term trends and key support/resistance zones.
Anchored VWAP x2 (VWAPCVD & VWAPARZ): Two Volume Weighted Average Price lines anchored to user-defined dates, providing insights into price levels relative to volume from specific points in time.
AlphaTrend: A custom trend-following indicator based on ATR and MFI, helping to gauge market direction and volatility.
Usage InstructionsInstallation:
Copy and paste the script into the Pine Script editor on TradingView, then add it to your chart.
Customization:Adjust the periods for EMA, SMA50, SMA100, and SMA200 under the "Inputs" tab.
Set the anchor dates for VWAPCVD and VWAPARZ to analyze specific historical periods.
Enable or disable individual components (EMA1, SMA50, SMA100, SMA200, VWAPCVD, VWAPARZ, AlphaTrend) and toggle labels via the settings.
Customize colors and line thickness to suit your preferences.
Modify the AlphaTrend multiplier and period for tailored sensitivity.
Interpretation:
Use the EMA1 for short-term momentum and crossovers with SMAs.
Monitor SMA crossovers (e.g., SMA50 crossing SMA200) for trend changes.
The Anchored VWAPs act as dynamic support/resistance levels based on the selected anchor dates.
AlphaTrend provides a visual guide for trend direction; use it alongside other indicators for confirmation.
Labels on the last bar show the current value and percentage distance from the price for each enabled indicator.
Pine Screener Module Usage:
Add this indicator to the Pine Screener to filter stocks, forex pairs, or other instruments based on the calculated distances (in percentage) between the close price and SMA50, SMA100, SMA200, VWAPCVD, and VWAPARZ.
In the Screener, use the "SMA50 Distance (%)", "SMA100 Distance (%)", "SMA200 Distance (%)", "VWAPCVD Distance (%)", and "VWAPARZ Distance (%)" columns to identify overbought/oversold conditions or potential reversal points.
Example filters: Set conditions like "SMA50 Distance (%) > 5" to find stocks trading significantly above the 50-day SMA, or "VWAPCVD Distance (%) < -2" to spot assets below the anchored VWAP, indicating potential support levels.
Combine multiple conditions (e.g., SMA50 Distance (%) > 5 AND AlphaTrend > previous AlphaTrend) to refine your scan for bullish trends.
Note: Ensure the indicator is applied to the chart or screener with the desired timeframe for accurate results.
Notes
This is an overlay indicator, meaning it plots directly on the price chart.
The script uses daily SMA calculations for consistency across timeframes.
Labels appear only on the last bar and are customizable.
This tool is for educational and informational purposes only. Trading involves risks, and it is recommended to consult a financial advisor before making decisions.
The script is credited to @IQ-TRADER with acknowledgment to @KivancOzbilgic for the Alpha Section contribution, adhering to intellectual property guidelines.
No Financial Advice: The description explicitly states that the indicator is for educational use and not financial advice, complying with TradingView's policy against promoting trading signals as guarantees.
Clear Usage: Step-by-step instructions are provided to ensure users can apply the indicator effectively, including screener usage.
No External Links or Promotions: No external links or promotional content is included, aligning with platform rules.
Dow Theory - Low timeframe Linear Regression Channel🔍 Dow Theory - Minor Trend: Linear Regression Channel for Low Timeframes
Catch Every Move. No Smoothing. No Delay. Pure Price Action.
This indicator redefines how you analyze minor trends on low timeframes by applying Dow Theory principles without relying on traditional smoothing techniques like moving averages. Instead, it maps trends using pure candle high and low points, capturing even the smallest structural shifts with surgical precision.
🧠 What Makes It Special?
Unlike traditional linear regression channels that smooth price across fixed windows (which often fail during high volatility or abrupt moves), this tool is built to react instantly, adapting to the true pulse of the market—the candle’s own highs and lows. The result: no lag, no distortion, and no compromise during fast, slow, wide, or tight market phases.
🧩 Core Functionalities:
Minor Trend Mapping: Automatically identifies and draws channels using candle-by-candle pivot detection (not swing highs/lows).
Adaptive Channel Drawing: Draws real-time parallel channels as soon as a valid trend structure is detected—uptrend, downtrend, or sideway range.
Break Detection Logic: Highlights when price breaks above or below the current channel to anticipate trend shifts.
Sideway Detection: Dynamically tracks contraction phases using overlapping pivot structures.
No Repainting: All lines are fixed and historical; what you see is what really happened.
Fully Customizable:
Change trendline colors for bullish, bearish, or sideway zones.
Adjustable line width and style (solid, dashed, dotted).
Toggle on/off channel lines for clarity.
💡 Why Use This?
If you’re tired of average-based indicators that get whipsawed in volatile markets, this is your surgical tool for clarity. Whether you’re scalping, building entry logic, or looking to automate setups—this indicator gives you the raw market structure in its cleanest, most responsive form.
ENJOY!
Multiple of Net Asset Value (mNAV)This TradingView indicator calculates and displays the multiple of Net Asset Value (mNAV) for a selected symbol. It uses the asset symbol held, the quantity of assets held, and the number of outstanding shares to compute mNAV per share. The indicator compares the current price to mNAV, showing how many times the asset is trading above or below its mNAV. Users can configure up to four custom mNAV multiples for reference lines, helping to visualize overvaluation or undervaluation relative to mNAV. Ideal for analyzing ETFs, trusts, or crypto funds with transparent holdings.
Crypto Breadth | AlphaNatt\ Crypto Breadth | AlphaNatt\
A dynamic, visually modern market breadth indicator designed to track the strength of the top 40 cryptocurrencies by measuring how many are trading above their respective 50-day moving averages. Built with precision, branding consistency, and UI enhancements for fast interpretation.
\ 📊 What This Script Does\
* Aggregates the performance of \ 40 major cryptocurrencies\ on Binance
* Calculates a \ breadth score (0.00–1.00)\ based on how many tokens are above their moving averages
* Smooths the breadth with optional averaging
* Displays the result as a \ dynamic, color-coded line\ with aesthetic glow and gradient fill
* Provides automatic \ background zones\ for extreme bullish/bearish conditions
* Includes \ alerts\ for key threshold crossovers
* Highlights current values in an \ information panel\
\ 🧠 How It Works\
* Pulls real-time `close` prices for 40 coins (e.g., XRP, BNB, SOL, DOGE, PEPE, RENDER, etc.)
* Compares each coin's price to its 50-day SMA (adjustable)
* Assigns a binary score:
• 1 if the coin is above its MA
• 0 if it’s below
* Aggregates all results and divides by 40 to produce a normalized \ breadth percentage\
\ 🎨 Visual Design Features\
* Smooth blue-to-pink \ color gradient\ matching the AlphaNatt brand
* Soft \ glow effects\ on the main line for enhanced legibility
* Beautiful \ multi-stop fill gradient\ with 16 transition zones
* Optional \ background shading\ when extreme sentiment is detected:
• Bullish zone if breadth > 80%
• Bearish zone if breadth < 20%
\ ⚙️ User Inputs\
* \ Moving Average Length\ – Number of periods to calculate each coin’s SMA
* \ Smoothing Length\ – Smooths the final breadth value
* \ Show Background Zones\ – Toggle extreme sentiment overlays
* \ Show Gradient Fill\ – Toggle the modern multicolor area fill
\ 🛠️ Utility Table (Top Right)\
* Displays live breadth percentage
* Shows how many coins (e.g., 27/40) are currently above their MA
\ 🔔 Alerts Included\
* \ Breadth crosses above 50%\ → Bullish signal
* \ Breadth crosses below 50%\ → Bearish signal
* \ Breadth > 80%\ → Strong bullish trend
* \ Breadth < 20%\ → Strong bearish trend
\ 📈 Best Used For\
* Gauging overall market strength or weakness
* Timing trend transitions in the crypto market
* Confirming trend-based strategies with broad market support
* Visual dashboard in macro dashboards or strategy overlays
\ ✅ Designed For\
* Swing traders
* Quantitative investors
* Market structure analysts
* Anyone seeking a macro view of crypto performance
Note: Not financial advise
Normalized Fibonacci Retracement (MTF/LOG)A question: Instead of creating indicators that constantly plot Fibonacci Retracement levels in a visually overwhelming way, why don't we redefine them on a different scale? 🤨
Overview
The Normalized Fibonacci Retracement indicator converts price data to a 0-100 scale based on the selected timeframe's high-low range, displaying normalized candlesticks alongside standard Fibonacci levels (23.6%, 38.2%, 50%, 61.8%, 78.6%). This normalization reveals patterns that may be hidden in absolute price charts and allows consistent analysis across different instruments.
Originality
By normalizing prices to percentages, this indicator enables pattern recognition independent of absolute price levels. The same formation at $10-$20 and $1000-$2000 appears identical on the normalized scale, helping traders identify recurring structures across various assets and timeframes.
Concepts
The indicator uses a simple formula to transform price data into percentages. This creates a bounded scale where patterns become comparable regardless of the underlying asset's price range. The normalized view often reveals symmetries and relationships not visible in traditional price charts.
Mechanics
The system tracks highs and lows within the selected timeframe as anchor points. When a new period begins, fresh boundaries are established and prices recalculated. Trend direction is determined by timing of extremes. Linear scaling uses direct percentage calculation, while logarithmic scaling applies exponential interpolation for assets with large percentage moves.
Functions
Timeframe Selection: Higher timeframe analysis on any chart resolution
Normalized Display: OHLC data converted to 0-100 percentage scale
Fibonacci Levels: Standard retracement levels plotted automatically
Scaling Options: Linear or logarithmic calculation methods
Pattern Recognition: Reveals formations hidden in absolute price charts
Moving Average: Optional 20-period SMA overlay
Notes
Ensure chart data covers the full selected timeframe for accurate calculations. Use logarithmic scaling for volatile assets with large percentage moves. The normalized scale is effective at revealing patterns and structures that remain consistent across different price ranges, making it particularly useful for comparative analysis and pattern-based trading strategies.
I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
Delta Volume Movement TrackerOverview
This Pine Script, titled "Delta Volume Movement Tracker," is a sophisticated volume analysis tool designed to run in a separate pane below the main price chart. Its primary purpose is to dissect market activity by analyzing volume data from a lower timeframe to provide a clearer picture of the real buying and selling pressure behind price movements.
The core concept is to look at the volume delta (up-tick volume minus down-tick volume) from a faster timeframe (e.g., 1-minute) and correlate it with the price action on the current chart. This allows the indicator to distinguish between different market scenarios, such as strong, confirmed buying versus selling pressure that occurs even as the price rises.
Key Components
1. Lower Timeframe Volume Delta
The script's engine is the ta.requestUpAndDownVolume() function. It pulls detailed volume data from a user-specified lower timeframe. This provides a high-resolution view of the order flow. From this, it calculates the delta, which is the net difference between buying and selling volume.
Positive Delta: More volume occurred on up-ticks than down-ticks, suggesting buying pressure.
Negative Delta: More volume occurred on down-ticks than up-ticks, suggesting selling pressure.
2. Categorizing Price and Volume Interaction
The script intelligently categorizes market action by looking at both the direction of the price change and the sign of the volume delta. This creates four distinct conditions:
Strong Buying (upPositiveDelta): Price is moving up, AND the volume delta is positive. This is a confirmation signal, indicating that the upward price move is supported by aggressive buying.
Selling into Strength (upNegativeDelta): Price is moving up, BUT the volume delta is negative. This is a divergence, suggesting that despite the price rise, larger players may be distributing or selling into the rally.
Buying into Weakness (downPositiveDelta): Price is moving down, BUT the volume delta is positive. This is also a divergence, suggesting that buyers are stepping in to absorb the selling pressure, potentially indicating a bottom.
Strong Selling (downNegativeDelta): Price is moving down, AND the volume delta is negative. This is a confirmation signal, indicating that the downward price move is supported by aggressive selling.
3. Price-Weighted Summation
Instead of just counting the occurrences, the script calculates a rolling sum for each category over a lookbackPeriod. Crucially, it weights these values by the close price, effectively measuring the monetary value of the flow in each category. This gives more significance to volume that occurs at higher price levels.
How It Appears on the Chart
The indicator plots the two most powerful confirmation signals as columns to make them easy to interpret:
Green Columns (upBuySum): Represents the cumulative, price-weighted value of "Strong Buying." Taller green bars indicate significant and sustained buying pressure.
Red Columns (downSellSum): Represents the cumulative, price-weighted value of "Strong Selling." Taller red bars indicate significant and sustained selling pressure.
EMA Lines: Smooth exponential moving averages of both the buying and selling plots are overlaid to help identify the prevailing trend in order flow.
Filled Zones: The areas beneath the zero line and the plotted columns are filled with color, making it easy to visually gauge the magnitude of buying or selling pressure at a glance.
In summary, this indicator provides a nuanced view of market dynamics, helping traders see beyond simple price action to understand the strength and conviction of the buyers and sellers driving the trend.
Machine Learning RSI with MatrixThe "Machine Learning RSI with Matrix," is an adaptive version of the traditional Relative Strength Index (RSI). It's designed to dynamically adjust to changing market conditions by learning from past price action. Instead of using a fixed calculation, it employs machine learning concepts to create a more responsive and nuanced momentum oscillator.
Core Concepts
At its heart, the indicator analyzes market characteristics like momentum and volatility over a long lookback period. It uses this information to:
Cluster Market Regimes: It categorizes the market's volatility into different states or "clusters." This allows the indicator to behave differently in calm, normal, or highly volatile environments.
Store Patterns: A unique "matrix" system stores recent RSI patterns corresponding to each volatility cluster. This creates a memory of what has happened before in similar market conditions, helping it anticipate future behavior.
Generate Probabilistic Signals: It runs thousands of Monte Carlo simulations on each bar. These simulations use weighted random probabilities based on current momentum and volatility to generate a forward-looking, probabilistic signal.
Dynamic and Adaptive Features
This isn't a static tool. Its key strength lies in its ability to adapt in real-time:
Self-Adjusting RSI Length: The indicator continuously compares its predicted RSI value to a more traditional RSI calculation. The "error" between these two is then used to dynamically adjust the RSI calculation length, making it shorter for faster response in volatile markets and longer for smoother signals in trending markets.
Adaptive Learning Rate: The speed at which the indicator adapts can be set to automatically adjust based on market volatility, allowing it to learn faster when the market is moving quickly.
Recursive Memory: The final output includes a "memory" component, which is a feedback loop from its own recent values. This helps create a smoother, more stable signal that is less prone to sudden spikes.
Final Output and Visualization
The final plotted value is a sophisticated blend of multiple elements: the adaptive RSI, the true RSI, the cluster average, and the memory average. This combined signal provides a comprehensive view of momentum.
Dynamic Thresholds: The overbought and oversold levels are not fixed at 70 and 30. They move up and down based on a Z-Score of the price, which measures how extreme the current price is relative to its recent history. This helps avoid premature signals in strong trends.
Bull Momentum GaugeBull Momentum Gauge
The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade.
What it Does
At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by:
Calculating the price's deviation from its 365-day moving average.
Normalizing this deviation into a Z-score to measure its statistical significance.
Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself.
The result is a single, smooth line that oscillates around a zero value.
How to Use It
The signals are simple and based on the indicator's relationship to the zero line:
Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run.
Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle.
This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
Triangular Fib🔍 Features
- Dynamic Lookback & Projection: Automatically adjusts the range and projection horizon based on timeframe changes.
- Triangular Fibonacci Arms: Projects fib levels upward and downward from high/low extremes to highlight potential price inflections.
- Volatility-Shaded Equilibrium: Visual zone highlights areas of consolidation or energy buildup before breakouts.
- Breakout Alerts: Detects and signals bullish/bearish breakouts from triangular fib thresholds.
- Auto-Traced Triangle Wedge: Dotted wedge lines visually represent narrowing price action from range extremes to midpoint.
Ideal for traders who seek visual clarity, price symmetry, and alert-driven decision-making across multiple timeframes. Whether you're swing trading or intraday scouting, this script provides a richly layered roadmap of market potential.
Not financial advice.
52SIGNAL RECIPE CCI Linreg Bands═══ 52SIGNAL RECIPE CCI Linreg Bands ═══
◆ Overview
52SIGNAL RECIPE CCI Linreg Bands is an advanced technical indicator that combines the CCI (Commodity Channel Index) with Linear Regression Bands. This indicator visualizes the volatility of the CCI using linear regression bands, helping to clearly identify overbought/oversold areas and more accurately capture potential trend reversal points.
─────────────────────────────────────
◆ Key Features
• CCI-Based Overbought/Oversold Analysis: Uses the traditional CCI indicator to identify overbought/oversold conditions in the market
• Integrated Linear Regression Bands: Applies linear regression analysis to the CCI to visually represent the direction and strength of trends
• Dual Overbought/Oversold Levels: Sets overbought/oversold levels for both CCI and Linear Regression Bands to increase the accuracy of signals
• Advanced Visualization: Intuitive chart analysis is possible with color changes according to trend direction and clear band display
• Multiple Alert Settings: Alert functions for various conditions ensure you don't miss important trading moments
─────────────────────────────────────
◆ Technical Foundation
■ CCI (Commodity Channel Index)
• Basic Settings: 20-period CCI with Weighted Moving Average (WMA) applied
• Calculation Method: Measures the deviation from the average price normalized to a specific range
• Overbought/Oversold Levels: Default values set to +150 (overbought) and -150 (oversold)
■ Linear Regression Bands
• Period: Default value of 100 days
• Deviation: Default value of 4.5 standard deviations
• Center Line: The center line of the linear regression analysis for the CCI values
• Band Width: Displays the range of volatility around the center line based on the calculated standard deviation
• Overbought/Oversold Levels: Default values set to +250 (overbought) and -250 (oversold)
─────────────────────────────────────
◆ Practical Applications
■ Identifying Trading Signals
• Buy Signal:
▶ When the CCI falls below the oversold level (-150)
▶ When the lower band of the Linear Regression Bands falls below the oversold level (-250)
▶ When both conditions are met simultaneously (extreme oversold state) - a strong buy signal
• Sell Signal:
▶ When the CCI rises above the overbought level (+150)
▶ When the upper band of the Linear Regression Bands rises above the overbought level (+250)
▶ When both conditions are met simultaneously (extreme overbought state) - a strong sell signal
■ Trend Analysis
• Uptrend: When the linear regression center line is rising and the CCI is moving above the zero line
• Downtrend: When the linear regression center line is falling and the CCI is moving below the zero line
• Trend Strength: The wider the gap between the bands, the greater the volatility; the narrower, the more stable the trend
■ Divergence Confirmation
• Bearish Divergence: Price forms a new high, but the CCI is lower than the previous high (potential bearish signal)
• Bullish Divergence: Price forms a new low, but the CCI is higher than the previous low (potential bullish signal)
─────────────────────────────────────
◆ Advanced Setting Options
■ CCI Setting Adjustments
• CCI Source: Selectable options include Close (default), Open, High, Low, HL2, HLC3, OHLC4, etc.
• CCI Length: Adjust to lower values for short-term volatility, higher values for long-term trends
■ Linear Regression Setting Adjustments
• Period: Use lower values (20-50) for short-term analysis, higher values (100-200) for long-term analysis
• Deviation: Higher values create wider bands (more signals), lower values create narrower bands (more accurate signals)
■ Overbought/Oversold Level Adjustments
• CCI Levels: Adjust to more extreme values (±200) in highly volatile markets
• Linear Regression Band Levels: Adjustable to ±300 or ±200 depending on market conditions
─────────────────────────────────────
◆ Synergy with Other Indicators
• Bollinger Bands: Use alongside Bollinger Bands on the price chart to compare price volatility with CCI volatility
• MACD: Use with MACD for momentum and trend confirmation
• Fibonacci Retracement: Check CCI Linreg Bands signals with key support/resistance levels
• Moving Averages: Combine moving average crossovers with CCI Linreg Bands signals to improve reliability
─────────────────────────────────────
◆ Conclusion
52SIGNAL RECIPE CCI Linreg Bands provides a powerful and accurate technical analysis tool by combining traditional CCI with linear regression analysis. The dual overbought/oversold system increases the accuracy of trading signals and clearly visualizes trend direction and strength to help traders make decisions. You can achieve optimal results by adjusting various settings to match your trading style and market conditions.
─────────────────────────────────────
※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE CCI 선형회귀 밴드 ═══
◆ 개요
52SIGNAL RECIPE CCI 선형회귀 밴드는 CCI(Commodity Channel Index)와 선형회귀 밴드를 결합한 고급 기술적 지표입니다. 이 지표는 선형회귀 밴드를 사용하여 CCI의 변동성을 시각화하여 과매수/과매도 영역을 명확하게 식별하고 잠재적인 추세 반전 지점을 더 정확하게 포착하는 데 도움을 줍니다.
─────────────────────────────────────
◆ 주요 특징
• CCI 기반 과매수/과매도 분석: 전통적인 CCI 지표를 사용하여 시장의 과매수/과매도 상태를 식별
• 통합된 선형회귀 밴드: CCI에 선형회귀 분석을 적용하여 추세의 방향과 강도를 시각적으로 표현
• 이중 과매수/과매도 레벨: CCI와 선형회귀 밴드 모두에 과매수/과매도 레벨을 설정하여 신호의 정확도 향상
• 고급 시각화: 추세 방향에 따른 색상 변화와 명확한 밴드 표시로 직관적인 차트 분석 가능
• 다중 알림 설정: 다양한 조건에 대한 알림 기능으로 중요한 트레이딩 시점을 놓치지 않도록 보장
─────────────────────────────────────
◆ 기술적 기반
■ CCI (Commodity Channel Index)
• 기본 설정: 20기간 CCI에 가중이동평균(WMA) 적용
• 계산 방법: 평균 가격에 대한 편차를 측정하여 정규화한 값으로 표현
• 과매수/과매도 레벨: 기본값으로 +150(과매수)과 -150(과매도) 설정
■ 선형회귀 밴드
• 기간: 기본값 100일
• 편차: 기본값 4.5 표준편차
• 중심선: CCI 값에 대한 선형회귀 분석의 중심선
• 밴드 폭: 계산된 표준편차에 기반하여 중심선 주변의 변동성 범위 표시
• 과매수/과매도 레벨: 기본값으로 +250(과매수)와 -250(과매도) 설정
─────────────────────────────────────
◆ 실용적 응용
■ 트레이딩 신호 식별
• 매수 신호:
▶ CCI가 과매도 레벨(-150) 아래로 떨어질 때
▶ 선형회귀 밴드의 하단이 과매도 레벨(-250) 아래로 떨어질 때
▶ 두 조건이 동시에 충족될 때(극단적 과매도 상태) - 강한 매수 신호
• 매도 신호:
▶ CCI가 과매수 레벨(+150) 위로 상승할 때
▶ 선형회귀 밴드의 상단이 과매수 레벨(+250) 위로 상승할 때
▶ 두 조건이 동시에 충족될 때(극단적 과매수 상태) - 강한 매도 신호
■ 추세 분석
• 상승 추세: 선형회귀 중심선이 상승하고 CCI가 0선 위로 움직일 때
• 하락 추세: 선형회귀 중심선이 하락하고 CCI가 0선 아래로 움직일 때
• 추세 강도: 밴드 사이의 간격이 넓을수록 변동성이 크고, 좁을수록 추세가 안정적
■ 다이버전스 확인
• 약세 다이버전스: 가격이 신고점을 형성하지만 CCI가 이전 고점보다 낮을 때(잠재적 약세 신호)
• 강세 다이버전스: 가격이 신저점을 형성하지만 CCI가 이전 저점보다 높을 때(잠재적 강세 신호)
─────────────────────────────────────
◆ 고급 설정 옵션
■ CCI 설정 조정
• CCI 소스: 선택 가능한 옵션에는 종가(기본값), 시가, 고가, 저가, HL2, HLC3, OHLC4 등이 포함
• CCI 길이: 단기 변동성을 위해 낮은 값으로, 장기 추세를 위해 높은 값으로 조정
■ 선형회귀 설정 조정
• 기간: 단기 분석을 위해 낮은 값(20-50), 장기 분석을 위해 높은 값(100-200) 사용
• 편차: 높은 값은 더 넓은 밴드(더 많은 신호), 낮은 값은 더 좁은 밴드(더 정확한 신호) 생성
■ 과매수/과매도 레벨 조정
• CCI 레벨: 변동성이 큰 시장에서는 더 극단적인 값(±200)으로 조정
• 선형회귀 밴드 레벨: 시장 상황에 따라 ±300 또는 ±200으로 조정 가능
─────────────────────────────────────
◆ 다른 지표와의 시너지
• 볼린저 밴드: 가격 차트의 볼린저 밴드와 함께 사용하여 가격 변동성과 CCI 변동성 비교
• MACD: 모멘텀과 추세 확인을 위해 MACD와 함께 사용
• 피보나치 되돌림: CCI 선형회귀 밴드 신호를 주요 지지/저항 레벨과 함께 확인
• 이동평균선: 이동평균 교차와 CCI 선형회귀 밴드 신호를 결합하여 신뢰성 향상
─────────────────────────────────────
◆ 결론
52SIGNAL RECIPE CCI 선형회귀 밴드는 전통적인 CCI와 선형회귀 분석을 결합하여 강력하고 정확한 기술적 분석 도구를 제공합니다. 이중 과매수/과매도 시스템은 트레이딩 신호의 정확도를 높이고 추세 방향과 강도를 명확하게 시각화하여 트레이더의 의사 결정을 돕습니다. 다양한 설정을 트레이딩 스타일과 시장 상황에 맞게 조정하여 최적의 결과를 얻을 수 있습니다.
─────────────────────────────────────
※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
52SIGNAL RECIPE RSI Linreg Bands═══ 52SIGNAL RECIPE RSI Linreg Bands ═══
◆ Overview
52SIGNAL RECIPE RSI Linreg Bands is an advanced technical indicator that combines the RSI (Relative Strength Index) with Linear Regression Bands. This indicator visualizes the volatility of the RSI using linear regression bands, helping to clearly identify overbought/oversold areas and more accurately capture potential trend reversal points.
─────────────────────────────────────
◆ Key Features
• RSI-Based Overbought/Oversold Analysis: Uses the traditional RSI indicator to identify overbought/oversold conditions in the market
• Integrated Linear Regression Bands: Applies linear regression analysis to the RSI to visually represent the direction and strength of trends
• Dual Overbought/Oversold Levels: Sets overbought/oversold levels for both RSI and Linear Regression Bands to increase the accuracy of signals
• Advanced Visualization: Intuitive chart analysis is possible with color changes according to trend direction and clear band display
• Multiple Alert Settings: Alert functions for various conditions ensure you don't miss important trading moments
─────────────────────────────────────
◆ Technical Foundation
■ RSI (Relative Strength Index)
• Basic Settings: 14-period RSI with 5-period Weighted Moving Average (WMA) applied
• Calculation Method: Measures the relative strength of gains and losses, expressed as a value between 0-100
• Overbought/Oversold Levels: Default values set to 70 (overbought) and 30 (oversold)
■ Linear Regression Bands
• Period: Default value of 100 days
• Deviation: Default value of 2.5 standard deviations
• Center Line: The center line of the linear regression analysis for the RSI values
• Band Width: Displays the range of volatility around the center line based on the calculated standard deviation
• Overbought/Oversold Levels: Default values set to 85 (overbought) and 15 (oversold)
─────────────────────────────────────
◆ Practical Applications
■ Identifying Trading Signals
• Buy Signal:
▶ When the RSI falls below the oversold level (30)
▶ When the lower band of the Linear Regression Bands falls below the oversold level (15)
▶ When both conditions are met simultaneously (extreme oversold state) - a strong buy signal
• Sell Signal:
▶ When the RSI rises above the overbought level (70)
▶ When the upper band of the Linear Regression Bands rises above the overbought level (85)
▶ When both conditions are met simultaneously (extreme overbought state) - a strong sell signal
■ Trend Analysis
• Uptrend: When the linear regression center line is rising and the RSI is moving above the midline (50)
• Downtrend: When the linear regression center line is falling and the RSI is moving below the midline (50)
• Trend Strength: The wider the gap between the bands, the greater the volatility; the narrower, the more stable the trend
■ Divergence Confirmation
• Bearish Divergence: Price forms a new high, but the RSI is lower than the previous high (potential bearish signal)
• Bullish Divergence: Price forms a new low, but the RSI is higher than the previous low (potential bullish signal)
─────────────────────────────────────
◆ Advanced Setting Options
■ RSI Setting Adjustments
• RSI Source: Selectable options include Close (default), Open, High, Low, HL2, HLC3, OHLC4, etc.
• RSI Length: Adjust to lower values for short-term volatility, higher values for long-term trends
■ Linear Regression Setting Adjustments
• Period: Use lower values (20-50) for short-term analysis, higher values (100-200) for long-term analysis
• Deviation: Higher values create wider bands (more signals), lower values create narrower bands (more accurate signals)
■ Overbought/Oversold Level Adjustments
• RSI Levels: Adjust to more extreme values (80/20) in highly volatile markets
• Linear Regression Band Levels: Adjustable to 90/10 or 80/20 depending on market conditions
─────────────────────────────────────
◆ Synergy with Other Indicators
• Bollinger Bands: Use alongside Bollinger Bands on the price chart to compare price volatility with RSI volatility
• MACD: Use with MACD for momentum and trend confirmation
• Fibonacci Retracement: Check RSI Linreg Bands signals with key support/resistance levels
• Moving Averages: Combine moving average crossovers with RSI Linreg Bands signals to improve reliability
─────────────────────────────────────
◆ Conclusion
52SIGNAL RECIPE RSI Linreg Bands provides a powerful and accurate technical analysis tool by combining traditional RSI with linear regression analysis. The dual overbought/oversold system increases the accuracy of trading signals and clearly visualizes trend direction and strength to help traders make decisions. You can achieve optimal results by adjusting various settings to match your trading style and market conditions.
─────────────────────────────────────
※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE RSI 선형회귀 밴드 ═══
◆ 개요
52SIGNAL RECIPE RSI 선형회귀 밴드는 RSI(상대강도지수)와 선형회귀 밴드를 결합한 고급 기술적 지표입니다. 이 지표는 선형회귀 밴드를 사용하여 RSI의 변동성을 시각화하여 과매수/과매도 영역을 명확하게 식별하고 잠재적인 추세 반전 지점을 더 정확하게 포착하는 데 도움을 줍니다.
─────────────────────────────────────
◆ 주요 특징
• RSI 기반 과매수/과매도 분석: 전통적인 RSI 지표를 사용하여 시장의 과매수/과매도 상태를 식별
• 통합된 선형회귀 밴드: RSI에 선형회귀 분석을 적용하여 추세의 방향과 강도를 시각적으로 표현
• 이중 과매수/과매도 레벨: RSI와 선형회귀 밴드 모두에 과매수/과매도 레벨을 설정하여 신호의 정확도 향상
• 고급 시각화: 추세 방향에 따른 색상 변화와 명확한 밴드 표시로 직관적인 차트 분석 가능
• 다중 알림 설정: 다양한 조건에 대한 알림 기능으로 중요한 트레이딩 시점을 놓치지 않도록 보장
─────────────────────────────────────
◆ 기술적 기반
■ RSI (상대강도지수)
• 기본 설정: 14기간 RSI에 5기간 가중이동평균(WMA) 적용
• 계산 방법: 상승과 하락의 상대적 강도를 측정하여 0-100 사이의 값으로 표현
• 과매수/과매도 레벨: 기본값으로 70(과매수)과 30(과매도) 설정
■ 선형회귀 밴드
• 기간: 기본값 100일
• 편차: 기본값 2.5 표준편차
• 중심선: RSI 값에 대한 선형회귀 분석의 중심선
• 밴드 폭: 계산된 표준편차에 기반하여 중심선 주변의 변동성 범위 표시
• 과매수/과매도 레벨: 기본값으로 85(과매수)와 15(과매도) 설정
─────────────────────────────────────
◆ 실용적 응용
■ 트레이딩 신호 식별
• 매수 신호:
▶ RSI가 과매도 레벨(30) 아래로 떨어질 때
▶ 선형회귀 밴드의 하단이 과매도 레벨(15) 아래로 떨어질 때
▶ 두 조건이 동시에 충족될 때(극단적 과매도 상태) - 강한 매수 신호
• 매도 신호:
▶ RSI가 과매수 레벨(70) 위로 상승할 때
▶ 선형회귀 밴드의 상단이 과매수 레벨(85) 위로 상승할 때
▶ 두 조건이 동시에 충족될 때(극단적 과매수 상태) - 강한 매도 신호
■ 추세 분석
• 상승 추세: 선형회귀 중심선이 상승하고 RSI가 중간선(50) 위로 움직일 때
• 하락 추세: 선형회귀 중심선이 하락하고 RSI가 중간선(50) 아래로 움직일 때
• 추세 강도: 밴드 사이의 간격이 넓을수록 변동성이 크고, 좁을수록 추세가 안정적
■ 다이버전스 확인
• 약세 다이버전스: 가격이 신고점을 형성하지만 RSI가 이전 고점보다 낮을 때(잠재적 약세 신호)
• 강세 다이버전스: 가격이 신저점을 형성하지만 RSI가 이전 저점보다 높을 때(잠재적 강세 신호)
─────────────────────────────────────
◆ 고급 설정 옵션
■ RSI 설정 조정
• RSI 소스: 선택 가능한 옵션에는 종가(기본값), 시가, 고가, 저가, HL2, HLC3, OHLC4 등이 포함
• RSI 길이: 단기 변동성을 위해 낮은 값으로, 장기 추세를 위해 높은 값으로 조정
■ 선형회귀 설정 조정
• 기간: 단기 분석을 위해 낮은 값(20-50), 장기 분석을 위해 높은 값(100-200) 사용
• 편차: 높은 값은 더 넓은 밴드(더 많은 신호), 낮은 값은 더 좁은 밴드(더 정확한 신호) 생성
■ 과매수/과매도 레벨 조정
• RSI 레벨: 변동성이 큰 시장에서는 더 극단적인 값(80/20)으로 조정
• 선형회귀 밴드 레벨: 시장 상황에 따라 90/10 또는 80/20으로 조정 가능
─────────────────────────────────────
◆ 다른 지표와의 시너지
• 볼린저 밴드: 가격 차트의 볼린저 밴드와 함께 사용하여 가격 변동성과 RSI 변동성 비교
• MACD: 모멘텀과 추세 확인을 위해 MACD와 함께 사용
• 피보나치 되돌림: RSI 선형회귀 밴드 신호를 주요 지지/저항 레벨과 함께 확인
• 이동평균선: 이동평균 교차와 RSI 선형회귀 밴드 신호를 결합하여 신뢰성 향상
─────────────────────────────────────
◆ 결론
52SIGNAL RECIPE RSI 선형회귀 밴드는 전통적인 RSI와 선형회귀 분석을 결합하여 강력하고 정확한 기술적 분석 도구를 제공합니다. 이중 과매수/과매도 시스템은 트레이딩 신호의 정확도를 높이고 추세 방향과 강도를 명확하게 시각화하여 트레이더의 의사 결정을 돕습니다. 다양한 설정을 트레이딩 스타일과 시장 상황에 맞게 조정하여 최적의 결과를 얻을 수 있습니다.
─────────────────────────────────────
※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
