Compare TOTAL, TOTAL2, TOTAL3, and OTHERSCompare TOTAL, TOTAL2, TOTAL3, and OTHERS
This indicator compares the performance of major cryptocurrency market cap indices: TOTAL, TOTAL2, TOTAL3, and OTHERS. It normalizes each index's performance relative to its starting value and visualizes their relative changes over time.
Features
- Normalized Performance: Tracks the percentage change of each index from its initial value.
- Customizable Timeframe: Allows users to select a base timeframe for the data (e.g., daily, weekly).
- Dynamic Labels: Displays the latest performance of each index as a label on the chart, aligned to the right of the corresponding line for easy comparison.
- Color-Coded Lines: Each index is assigned a distinct color for clear differentiation:
-- TOTAL (Blue): Represents the total cryptocurrency market cap.
-- TOTAL2 (Green): Excludes Bitcoin.
-- TOTAL3 (Orange): Excludes Bitcoin and Ethereum.
-- OTHERS (Red): Represents all cryptocurrencies excluding the top 10 by market cap.
- Baseline Reference: Includes a horizontal line at 0% for reference.
Use Cases:
- Market Trends: Identify which segments of the cryptocurrency market are outperforming or underperforming over time.
- Portfolio Insights: Assess the impact of Bitcoin and Ethereum dominance on the broader market.
- Market Analysis: Compare smaller-cap coins (OTHERS) with broader indices (TOTAL, TOTAL2, and TOTAL3).
This script is ideal for traders and analysts who want a quick, visual way to track how different segments of the cryptocurrency market perform relative to each other over time.
Note: The performance is normalized to highlight percentage changes, not absolute values.
週期
The Ultimate strategy by ATK**The Ultimate Strategy by ATK**
This comprehensive trading script is designed to enhance market analysis and trading strategies by integrating advanced tools for market structure, SMT (Separation and Divergence), Fair Value Gaps (FVG), and session-based insights. With customizable features, real-time alerts, and multi-timeframe functionality, this script caters to both scalpers and long-term traders seeking deeper market insights.
### 🔵 **Key Features**
**🔹 SMT (Divergence) Detection:**
- **High/Low SMT Analysis:** Compares highs and lows between a primary symbol (e.g., NQ1!) and a user-defined comparison symbol (e.g., ES1!).
- Automatically visualizes discrepancies with red (highs) and green (lows) lines.
- Supports two modes: real-time comparison and historical range checks.
- Alerts for detected SMT conditions.
- **Close Price SMT Analysis:** Compares closing prices to highlight divergences.
- Includes user-defined lookback periods and granular cycle-based SMT detection.
**🔹 PSP (Precision Swing Point):**
- Detects and highlights price divergences between symbols, such as NQ and ES, with multi-timeframe compatibility (15-minute, 1-hour, 4-hour).
- Integrated PSP table for visualizing divergences across timeframes.
- Configurable for first PSP detection only or all patterns without lower timeframe interference.
**🔹 Session Analysis with ASIA Session Insights:**
- Tracks high and low prices during the Asia session (1:00–7:00 AM Israel time).
- Draws horizontal lines marking session highs and lows.
- Alerts when prices cross session boundaries.
**🔹 FFMS (First Five-Minute Strategy):**
- Utilizes the high and low of the first five minutes of the trading day.
- Generates buy or sell signals based on retracement and breakout conditions around the previous day’s high/low.
- Real-time alerts for long and short opportunities.
**🔹 Multi-Timeframe Tables and Alerts:**
- Displays SMT and PSP conditions across multiple timeframes (1-minute, 15-minute, 1-hour, etc.).
- Alerts for SMT divergences and PSP patterns across selected time intervals.
**🔹 Visual Enhancements and Customizability:**
- Color-coded lines and labels for easy interpretation of SMT, PSP, and session levels.
- User-friendly input settings for symbol selection, session tracking, and cycle configuration.
- Flexible session range adjustments with macro and micro cycle segmentation (90-minute and 6-hour sessions).
### 🎯 **Use Cases**
- **Scalping:** Analyze short-term divergences with real-time SMT and PSP detection on lower timeframes.
- **Swing Trading:** Leverage session-based insights and SMT conditions to identify potential reversal points.
- **Multi-Symbol Analysis:** Compare key indices or assets (e.g., NQ vs. ES) for SMT-based opportunities.
This script is perfect for traders looking to combine advanced tools into a seamless, actionable trading system. Stay ahead of the markets with **The Ultimate Strategy by ATK**!
Pi Cycle MACD Inverse OscillatorPi Cycle MACD Inverse Oscillator with Gradient and Days Since Last Top
This indicator is ideal for Bitcoin traders seeking a robust tool to visualize long-term and short-term trends with enhanced clarity and actionable insights.
This script combines the concept of the Pi Cycle indicator with a unique MACD-based inverse oscillator to analyze Bitcoin market trends. It introduces several features to help traders understand market conditions better:
Inverse Oscillator:
- Oscillator ranges between 1 and -1.
- A value of 1 indicates the two moving averages (350 MA and 111 MA) are equal.
- A value of -1 indicates the maximum observed distance between the moving averages during the selected lookback period.
- The oscillator dynamically adjusts to price changes using a configurable scaling factor.
Gradient Visualization:
The oscillator line transitions smoothly from green (closer to -1) to yellow (at 0) and red (closer to 1).
The color gradient provides a quick visual cue for market momentum.
Days Since Last Pi Cycle Top:
Calculates and displays the number of days since the last "Pi Cycle Top" (defined as a crossover between the two moving averages).
The label updates dynamically and appears only on the most recent bar.
Conditional Fill:
Highlights the area between 0 and 1 with a green gradient when the price is above the long moving average.
Enhances visual understanding of the oscillator's position relative to key thresholds.
Inputs:
- Long Moving Average (350 default): Determines the primary trend.
- Short Moving Average (111 default): Measures shorter-term momentum.
- Oscillator Lookback Period (100 default): Defines the range for normalizing the oscillator.
- Price Scaling Factor (0.01 default): Adjusts the normalization to account for large price fluctuations.
How to Use:
- Use the oscillator to identify potential reversal points and trend momentum.
- Look for transitions in the gradient color and the position relative to 0.
- Monitor the "Days Since Last Top" label for insights into the market's cycle timing.
- Utilize the conditional fill to quickly assess when the market is in a favorable position above the long moving average.
Fibonacci Extensions and Retracements for Selected TimeframesPurpose of the Script
This script plots Fibonacci levels (retracements and extensions) based on the high and low points of the previous day, previous week, or previous month. It is a trading aid to help identify potential support and resistance zones. These zones are often used by traders to determine entry or exit points for trades.
How It Works
Select Timeframe
The trader can choose whether to calculate Fibonacci levels based on the high and low points of the previous day, previous week, or previous month.
This is selected using the timeframe_input input.
Examples:
"D" for the previous day
"W" for the previous week
"M" for the previous month
Calculate Price Range
The script calculates the price range using the high and low of the selected timeframe:
Formula: price_range = High - Low
Draw Fibonacci Levels
Retracements: Within the price range, Fibonacci levels such as 12%, 23%, 38%, 50%, 61%, 78%, and 88% are calculated. These help identify potential support or resistance zones.
Extensions: Beyond the price range, Fibonacci extensions such as 127%, 161%, 200%, 224%, and 241% are plotted to indicate potential breakout targets.
Visualization
The script plots lines and labels for each level.
These lines extend to the right, providing real-time guidance during trading.
Colors and line styles can be customized to match personal preferences.
How to Use as a Trading Aid
Use Fibonacci Retracements:
Use retracements (e.g., 38%, 50%, 61%) to identify potential support or resistance zones.
Example: If the price dropped sharply the previous day, the retracement levels could act as support during a rebound.
Use Fibonacci Extensions:
Extensions help identify price targets when the price breaks above or below the high or low of the previous day, week, or month.
Example: After a breakout above the previous week’s high, the 127% or 161% level could serve as a target.
Adjust Timeframe:
Choose the timeframe that suits your strategy:
Intraday traders can use the previous day’s high and low.
Swing traders might prefer the previous week.
Long-term traders could work with the previous month.
Example
A trader selects the weekly timeframe (W) to analyze the high and low of the previous week:
The script calculates the price range based on the high and low of the previous week.
Fibonacci retracements (e.g., 50% and 61%) are drawn to identify potential support zones.
Fibonacci extensions (e.g., 127% and 161%) help define price targets for a potential breakout above or below the range.
Bidirectional Momentum Aggregator w/ Time Weighting Intrabar Data Extraction:
The script optionally harnesses lower time frame data (e.g., per-second intervals) for high and low prices within each primary bar. You can set it to the current chart time but if you want to use intrabar data it uses the request.security_lower_tf() to properly pull intrabar data.
This fine-grained data enables an in-depth examination of the price action that occurs within a standard timeframe, enhancing the ability to detect subtle market movements.
A key threshold based on Average True Range (ATR) is used to measure significant price changes intrabar, adding a robust filter for volatility sensitivity.
Cumulative Time-to-Threshold Analysis:
The indicator tracks how long it takes for price changes to reach specified thresholds, marking critical time points when upward or downward price movements exceed these levels. This approach provides insights into the speed and intensity of directional shifts within the market.
The calculated time-to-threshold values act as temporal markers that influence subsequent momentum weighting.
Bidirectional Momentum Calculation:
Momentum is assessed in two directions (upward and downward) using a comprehensive array of price changes.
Adaptive Weighting Mechanism:
Each momentum value is weighted by the calculated time-to-threshold, giving preference to momentum that occurs more rapidly and aligning with potential breakout conditions.
The script also factors in correlations between momentum and price change, ensuring that only the most relevant signals contribute to the final analysis.
Iterative Length Analysis:
By iterating over a range of lengths (e.g., 100 to 200 periods), the script aggregates data to assess momentum across different time scales. This provides a more holistic view of market behavior, accommodating both short-term fluctuations and longer-term trends.
Each length is evaluated using moving averages and correlations to determine its contribution to the total weighted momentum.
Final Aggregated Output:
The weighted sums of upward and downward momentum are normalized by the total weight to produce a final composite metric.
The indicator plots these results as separate upward and downward momentum lines, offering traders a visual representation of which direction holds more momentum strength over various intervals.
Practical Application:
This indicator's advanced design is tailored for traders who require a deeper understanding of price movement dynamics and the underlying forces driving market momentum. By incorporating intrabar data, adaptive time-to-threshold calculations, and iterative analysis, this tool seeks to provide a clearer view of potential market direction shifts and their timing.
The indicator can be used to:
Identify potential breakout or reversal points by observing significant shifts in weighted momentum.
Gauge the relative strength of uptrends and downtrends through the plotted momentum lines.
Enhance decision-making with an additional layer of granularity from intrabar data.
In essence, this script is an ambitious attempt to blend multi-scale analysis, momentum dynamics, and time-weighted evaluation, creating a unique approach to understanding market behavior beyond conventional indicators.
Candle-Based Negative Space (Improved)This script visualizes the concept of negative space (when a candle closes below a defined baseline) and positive space (when a candle closes above the baseline) on a price chart. It uses user-defined inputs to configure the baseline and optionally includes a moving average for additional trend analysis. Below is a detailed explanation of the script and suggestions for improving its plotting.
Explanation of the Script
Purpose
The script helps traders visualize the relationship between price movements and a dynamically chosen baseline. The baseline can be based on:
The high/low of the previous candle.
The open/close of the current candle.
The "negative space" is calculated when the closing price is below the baseline, and the "positive space" is calculated when the closing price is above the baseline. The sum of these spaces over a period is plotted as a histogram to provide insights into market strength.
Adaptive Elliott Wave Probability with Time Analysis
Purpose
The indicator helps traders identify and analyze Elliott Wave Probabiliy, dynamically adjusting its sensitivity based on market conditions. By using time intervals between directional changes and validating wave patterns, it provides insights into market trends and their likelihood of continuation.
Configuration
The script includes configurable inputs for the user to adjust:
The sensitivity of wave detection using a zigzag percentage range.
The length of pivots to define significant price movements.
Incremental adjustments to refine wave detection dynamically.
Core Variables
The script uses various variables to store and analyze market data:
Adaptive zigzag percentages start from a baseline and adjust dynamically to reflect changing market conditions.
Time intervals and bar indices are recorded to calculate the duration between directional changes.
Likelihood values are assigned to uptrends and downtrends, normalized for comparison.
Wave Detection
The script detects directional changes in price by identifying pivot highs and lows:
A pivot high is a local peak in the price chart, while a pivot low is a local trough.
Once a directional change is identified, the time interval since the last change is calculated and stored for further analysis.
Wave Validation
The script validates wave patterns using predefined rules. For example:
A valid wave may require that each subsequent time interval in a sequence is greater than the previous one.
This ensures that detected waves adhere to a logical progression, reflecting realistic market movements.
Adaptive Logic
The zigzag percentage adjusts dynamically based on the time intervals between directional changes. This allows the indicator to adapt to different market conditions, ensuring it remains effective during both high and low volatility periods.
Likelihood Calculation
This is calculated by identifying all of the current valid/verified waves in every every zigzag percentage and express the ratio as a percentage/probability
These likelihoods are normalized to ensure they sum to 100%, allowing for direct comparison.
The values are visually plotted on the indicator panel for clarity.
Visualization
The indicator plots:
Uptrend likelihood as a green line.
Downtrend likelihood as a red line.
These plots provide a visual representation of market trends and their potential continuation, helping traders make informed decisions.
Summary
This Adaptive Elliott Wave Indicator provides a robust tool for analyzing market trends and patterns. By dynamically adjusting its parameters and validating wave patterns, it adapts to changing market conditions and provides actionable insights into the likelihood of future price movements. Its visual outputs make it an accessible and effective tool for traders seeking to incorporate Elliott Wave theory into their strategies
Swing-Based VWAPSwing-Based VWAP
Summary:
The "Swing-Based VWAP" indicator enhances traditional VWAP calculations by incorporating swing-based logic. It dynamically adapts to market conditions by identifying key swing highs and lows and calculating VWAP levels around these pivot points. This makes it a versatile tool for traders seeking actionable price insights.
Explanation:
What is Swing-Based VWAP?
The Swing-Based VWAP is a modified version of the Volume-Weighted Average Price (VWAP). It calculates VWAP not only for a chosen timeframe (e.g., session, week) but also adapts dynamically to market swings. By identifying swing highs and lows, it offers more precise levels for potential price action.
Unique Features:
1. Dynamic Swing Integration:
- Uses pivot points to determine significant price levels.
- Calculates VWAP based on these points to adapt to market trends.
2. User-Friendly Settings:
- Includes options to hide VWAP on higher timeframes for chart clarity.
- Flexible swing size input for adjusting sensitivity.
How to Use:
1. Configuring Swing Settings:
- Use the "Swing Setting" input to determine the sensitivity of swing detection.
- Higher values identify broader swings, while smaller values capture more granular movements.
2. Enabling/Disabling VWAP:
- Toggle VWAP visibility using the "Use VWAP" option.
- The "Hide VWAP on 1D or Above" setting lets you control visibility on higher timeframes.
3. Anchor Period:
- Select your preferred anchoring period (e.g., session, week) to match your trading style.
4. Adjusting the Data Source:
- Use the "Source" input to select the price source (default: HLC3).
5. Visualizing Swing-Based VWAP:
- The script plots a dynamic VWAP line based on detected swing points.
- This line highlights average price levels weighted by volume and swing pivots.
First-Principles Market Structure Explorer - Impulse Finder The goal of this script is to identify meaningful impulses instead of trying to find the trend by looking at volume asymmetry.
The assumption going into making this was that the market is nothing more than impulses followed by directional drift with those impulses eating up large amounts of liquidity in short periods letting drift have a direction.
The First-Principles Market Structure Explorer is a sophisticated TradingView indicator designed to analyze market dynamics by identifying significant price clusters, measuring volatility asymmetry, and evaluating price acceleration. By focusing on fundamental market principles, it provides traders with insights into potential support and resistance zones, as well as the strength of price movements away from these zones.
Key Features:
Price-Level Clustering: Segments recent price data into user-defined bins, assessing volume and time within each bin to identify significant price clusters.
Volatility Analysis: Calculates the standard deviation of price changes over a specified lookback period, distinguishing between upward and downward movements to determine volatility asymmetry.
Price Acceleration Measurement: Computes price acceleration by analyzing changes in price velocity, offering insights into the momentum behind price movements.
Bounce Strength Evaluation: Measures the strength of price movements after exiting significant clusters, aiding in the assessment of breakout or reversal potential.
How to Use:
Configure Input Parameters:
Lookback Length for Clustering: Defines the number of bars to consider for clustering analysis.
Volatility Lookback: Sets the period over which volatility is calculated.
Price Bin Width for Clustering: Determines the granularity of price bins used in clustering.
Min Volume Std Dev for Cluster Significance: Specifies the threshold for a cluster to be considered significant based on volume.
Min Time Persistence Bars: Sets the minimum number of bars a price must remain within a bin to qualify as a persistent zone.
Bounce Strength Lookahead Bars: Defines the number of bars to evaluate after exiting a cluster to measure bounce strength.
Interpret the Plots:
Horizontal Lines: Represent significant price clusters, with color intensity indicating relative volume at each level.
Volatility Asymmetry Plot: Shows the difference between upward and downward volatility, highlighting directional bias.
Bounce Strength Plot: Measures the strength of price movement after leaving a cluster, assisting in evaluating breakout potential.
Limitations:
Historical Analysis: The indicator analyzes past data and may not predict future market movements with certainty.
Parameter Sensitivity: Results can vary significantly based on input parameters; users should adjust settings to align with their specific trading strategies and market conditions.
Notes:
Ensure that the max_labels_count and max_lines_count parameters are set appropriately to accommodate the plotting needs of this script.
Regularly update input parameters to reflect changing market dynamics and maintain the relevance of the analysis.
This indicator is a powerful tool for traders seeking to understand market structure through first-principles analysis, offering a blend of volume, volatility, and price action insights to inform trading decisions.
Market Movement After OpenDescription:
This script provides a detailed visualization of market movements during key trading hours: the German market opening (08:00–09:00 UTC+1) and the US market opening (15:30–16:30 UTC+1). It is designed to help traders analyze price behavior in these critical trading periods by capturing and presenting movement patterns and trends directly on the chart and in an interactive table.
Key Features:
Market Movement Analysis:
Tracks the price movement during the German market's first hour (08:00–09:00 UTC+1) and the US market's opening session (15:30–16:30 UTC+1).
Analyzes whether the price moved up or down during these intervals.
Visual Representation:
Dynamically colored price lines indicate upward (green) or downward (red) movement during the respective periods.
Labels ("DE" for Germany and "US" for the United States) mark key moments in the chart.
Historical Data Table:
Displays the past 10 trading days' movement trends in an interactive table, including:
Date: Trading date.
German Market Movement: Up (▲), Down (▼), or Neutral (-) for 08:00–09:00 UTC+1.
US Market Movement: Up (▲), Down (▼), or Neutral (-) for 15:30–16:30 UTC+1.
The table uses color coding for easy interpretation: green for upward movements, red for downward, and gray for neutral.
Real-Time Updates:
Automatically updates during live trading sessions to reflect the most recent movements.
Highlights incomplete periods (e.g., ongoing sessions) to indicate their status.
Customizable:
Suitable for intraday analysis or broader studies of market trends.
Designed to overlay directly on any price chart.
Use Case:
This script is particularly useful for traders who focus on market openings, which are often characterized by high volatility and significant price movements. By providing a clear visual representation of historical and live data, it aids in understanding and capitalizing on market trends during these critical periods.
Notes:
The script works best when the chart is set to the appropriate timezone (UTC+1 for the German market or your local equivalent).
For precise trading decisions, consider combining this script with other technical indicators or trading strategies.
Feel free to share feedback or suggest additional features to enhance the script!
ATR Multi-Timeframe (Trend Direction + Current Levels) Indicator Name
ATR Multi-Timeframe (Trend Direction + Current Levels)
Description
This indicator helps you visualize support and resistance levels based on the Average True Range (ATR) and track the current trend direction across multiple timeframes (daily, weekly, and monthly). It is a valuable tool for traders looking to enhance decision-making and market volatility analysis.
Key Features
Multi-Timeframe ATR Analysis:
Calculates the Average True Range (ATR) and True Range (TR) for daily, weekly, and monthly timeframes.
Trend Direction Indicators:
Displays trend direction using arrows (▲ for uptrend, ▼ for downtrend) with color-coded labels (green for uptrend, red for downtrend).
Support and Resistance Levels:
Dynamically calculates trend levels (Open ± ATR) and opposite levels for each timeframe.
Persistent lines extend these levels into the future for better visualization.
Customizable Settings:
Toggle visibility of daily, weekly, and monthly levels.
Adjust line width and colors for each timeframe.
Summary Table:
Displays a compact table showing ATR percentages, TR percentages, and trend direction for all timeframes.
Why Use This Indicator?
Quickly identify key support and resistance levels across different timeframes.
Understand market volatility through ATR-based levels.
Spot trends and reversals with easy-to-read visual elements.
How to Use:
Add the indicator to your chart.
Enable or disable specific timeframes (Daily, Weekly, Monthly) in the settings.
Adjust line styles and colors to match your preferences.
Use the displayed levels to plan entry/exit points or manage risk.
This indicator is perfect for both swing and intraday traders who want a clear and dynamic view of volatility and trend across multiple timeframes.
German Market Opening UTC+1Description:
This script highlights the opening time of the German stock market (08:00 UTC+1) on a TradingView chart. It is designed to help traders quickly identify market openings and analyze price movements during this key trading period.
Key Features:
Market Opening Identification:
Automatically detects the exact moment the German stock market opens each day (08:00 UTC+1).
Marks the opening with a vertical line spanning the entire chart and a label for visual clarity.
Custom Indicators:
A blue line is drawn from the lowest to the highest price of the opening candle, extending across the chart to visually indicate the start of the trading day.
A labeled marker reading "DE-Opening" is placed at the top of the opening candle for additional clarity.
Ease of Use:
Simple overlay indicator that works seamlessly on any timeframe chart.
Helps traders focus on key opening price action.
Use Case:
This script is particularly useful for day traders and scalpers who want to identify and analyze the price behavior around the opening of the German stock market. It provides a visual cue to help traders develop strategies or make informed decisions during this active trading period.
Note:
Ensure your chart’s timezone is set to match UTC+1 or appropriately adjust for your location to ensure accurate time alignment.
If you have questions or suggestions, feel free to provide feedback!
EMA Squeeze RythmHere's a description of this indicator and its purpose:
This indicator is based on the concept of price consolidation and volatility contraction using multiple Exponential Moving Averages (EMAs). It primarily looks for "squeeze" conditions where the EMAs converge, indicating potential market consolidation and subsequent breakout opportunities.
Key Features:
1. Uses 8 EMAs (20-55 period) to measure price compression
2. Measures the distance between fastest (20) and slowest (55) EMAs in ATR units
3. Identifies four distinct states:
- PRE-SQZE: Initial convergence of EMAs
- SQZE: Tighter convergence
- EXT-SQZE: Extreme convergence (highest probability of breakout)
- RELEASE: EMAs begin to expand (potential breakout in progress)
Best Used For:
- Identifying potential breakout setups
- Finding periods of low volatility before explosive moves
- Confirming trend strength using higher timeframe analysis
- Trading mean reversion strategies during squeeze states
- Catching momentum moves during release states
The indicator works well on any timeframe but is particularly effective on 15M to 4H charts for most liquid markets. It includes higher timeframe analysis to help confirm the broader market context.
Continuous Multi-Factor Trend Oscillator with Rolling Liquidity
// **Overview**
This script generates a *Continuous Multi-Factor Trend Oscillator* that integrates multiple market dynamics, including **long-term trends**, **short-term trends**, **volume adjustments**, **volatility factors**, **ADX trend strength**, and **rolling liquidity**. The result is a smooth, dynamic oscillator that reflects comprehensive market conditions.
### **Key Features**
1. **Long-Term Trend Score (LT Score)**: Measures the deviation of price from its EMA, normalized by standard deviation. Captures broad trend direction.
2. **Short-Term Trend Score (ST Score)**: Evaluates the slope of a short-period EMA, normalized by ATR, to reflect shorter-term momentum.
3. **Volume Adjustment**: Adjusts trend scores based on the relative volume compared to its moving average.
4. **Volatility Adjustment**: Incorporates ATR into the scoring system, penalizing or boosting scores based on current volatility compared to historical norms.
5. **ADX Trend Strength**: Uses ADX to identify trend strength, scaling scores positively or negatively depending on whether the market is trending or ranging.
6. **Rolling Liquidity**: Analyzes persistent buying or selling pressure by aggregating net buy/sell liquidity over a rolling lookback period.
### **Calculation Workflow**
- **Inputs**: Configurable parameters like long/short periods, ATR period, ADX smoothing, and volume lookback.
- **Trend Scores**: LT and ST scores are computed separately to capture trend dynamics across different timeframes.
- **Adjustments**: Volume, volatility, ADX, and rolling liquidity adjustments are calculated and scaled appropriately.
- **Final Oscillator**: Combines all scores into a single value and applies smoothing for clarity.
### **How It Works**
1. *Long-Term and Short-Term Trends*: Trend scores are calculated based on EMAs and normalized using standard deviation or ATR.
2. *Volume and Liquidity Factors*: Incorporates net up/down volume and liquidity to reflect market participation levels.
3. *ADX Strength*: Distinguishes trending vs. ranging markets, influencing the oscillator direction accordingly.
4. *Final Output*: All factors are combined into a single oscillator, smoothed using an EMA.
### **Visualization**
- The oscillator is plotted as a continuous line with dynamic scaling:
- **Above 75**: *Very Bullish*
- **Below -75**: *Very Bearish*
- **Threshold Levels (50/-50, 10/-10)**: Provide additional interpretative guidance.
- **Labels**: Displays sentiment at the last bar for quick reference (e.g., *Strongly Bullish*, *Neutral*).
### **Use Cases**
- Ideal for identifying market conditions (bullish, bearish, neutral) based on multiple factors.
- Can serve as a confirmation tool alongside price action or other indicators.
### **Customizable Parameters**
- All periods (e.g., long-term, short-term, ATR, ADX) and lookbacks are adjustable, allowing fine-tuning based on market behavior and trading preferences.
How to use:
G. Santostasi Power Law Cycle Comparison
G. Santostasi Power Law Cycle Comparison Indicator
The "G. Santostasi Power Law Cycle Comparison" indicator is a revolutionary tool designed to provide deep insights into Bitcoin's historical price behavior, based on the renowned G. Santostasi power law model. This indicator goes beyond simple trend analysis, leveraging the power law model to analyze Bitcoin's cyclical patterns by shifting and superimposing past cycles onto the current price action.
Key Features and Insights:
Cycle-Based Comparison:
The indicator divides each Bitcoin cycle into three distinct phases:
Exponential Growth Phase (Year 1): A year of near-exponential price appreciation, often associated with the post-halving effect and the inflow of new market participants.
Exponential Correction Phase (Year 2): A sharp, quasi-exponential price decline as the market corrects from speculative highs.
Power Law Growth Phase (Years 3 and 4): A steady and predictable price increase along the power law support line, representing Bitcoin’s intrinsic long-term value trajectory.
Visual Clarity:
By overlaying past cycles onto the current cycle, the indicator highlights recurring patterns, making it easy for investors to identify similarities and deviations in price behavior. This visual comparison helps pinpoint where we are within the current cycle.
Orientation Tool for Investors:
Provides a "map" of Bitcoin's price action across cycles, enabling investors to orient themselves and make more informed decisions.
Helps distinguish between short-term noise and long-term trends, offering a broader perspective on Bitcoin’s price trajectory.
Consistency and Coherence:
The indicator’s ability to show how Bitcoin cycles adhere to a consistent framework underscores its robustness and reliability. The distinct phases of growth, correction, and stabilization align perfectly with the power law model, offering a coherent narrative of Bitcoin’s market dynamics.
Utility for Risk Management and Strategy:
Investors can use this indicator to anticipate major price movements, identify overbought or oversold conditions within the context of the cycle, and plan entry or exit points based on historical patterns.
Uniqueness of the Indicator:
Unlike traditional indicators that focus solely on momentum or trend, the G. Santostasi Power Law Cycle Comparison is rooted in a scientific approach. By applying the power law model to Bitcoin's cyclical behavior, this tool offers unparalleled insights into the underlying mechanics of price action. The ability to compare current price dynamics with past cycles provides a unique perspective, revealing patterns that are often missed by conventional technical analysis.
Who Should Use This Indicator?
Long-Term Investors: Gain confidence in understanding Bitcoin’s price action over its multi-year cycles.
Active Traders: Identify key phases within the cycle to time market entries and exits.
Analysts and Researchers: Explore the fundamental consistency of Bitcoin’s power law behavior across cycles.
The "G. Santostasi Power Law Cycle Comparison" indicator is not just a tool; it’s a lens through which Bitcoin’s intricate market cycles can be viewed, understood, and navigated. By aligning historical context with current price action, this indicator empowers investors with clarity, foresight, and actionable insights.
Asset Indexed by Future Interest
Este script em Pine Script calcula e exibe o índice de um ativo em relação à taxa de juros futuros (DI1) em um painel inferior. Ele obtém o preço de fechamento do ativo e a taxa de juros futuros DI1!, e em seguida, calcula o índice do ativo dividindo o preço do ativo pela taxa de juros futuros. Para evitar a divisão por zero, o script realiza uma validação para garantir que o valor da taxa de juros não seja nulo ou zero. O índice calculado é então plotado no painel inferior, em uma linha verde, permitindo que os usuários visualizem a relação entre o preço do ativo e os juros futuros de curto prazo. Esse índice pode ser útil para analisar como a taxa de juros influencia o comportamento do ativo.
This script in Pine Script calculates and displays the ratio of an asset to the future interest rate (DI1) in a lower panel. It obtains the asset's closing price and the future interest rate DI1!, and then calculates the asset index by dividing the asset price by the future interest rate. To avoid division by zero, the script performs validation to ensure that the interest rate value is not null or zero. The calculated index is then plotted in the bottom panel, in a green line, allowing users to visualize the relationship between the asset's price and short-term future interest. This index can be useful for analyzing how the interest rate influences the asset's behavior.
Adjust Asset for Future Interest (Brazil)Este script foi criado para ajustar o preço de um ativo com base na taxa de juros DI11!, que reflete a expectativa do mercado para os juros futuros. O objetivo é mostrar como o valor do ativo seria influenciado se fosse diretamente ajustado pela variação dessa taxa de juros.
Como funciona?
Preço do Ativo
O script começa capturando o preço de fechamento do ativo que está sendo visualizado no gráfico. Esse é o ponto de partida para o cálculo.
Taxa de Juros DI11!
Em seguida, ele busca os valores diários da taxa DI11! no mercado. Esta taxa é uma referência de juros de curto prazo, usada para ajustes financeiros e projeções econômicas.
Fator de Ajuste
Com a taxa de juros DI11!, o script calcula um fator de ajuste simples:
Fator de Ajuste
=
1
+
DI11
100
Fator de Ajuste=1+
100
DI11
Esse fator traduz a taxa percentual em um multiplicador aplicado ao preço do ativo.
Cálculo do Ativo Ajustado
Multiplica o preço do ativo pelo fator de ajuste para obter o valor ajustado do ativo. Este cálculo mostra como o preço seria se fosse diretamente influenciado pela variação da taxa DI11!.
Exibição no Gráfico
O script plota o preço ajustado do ativo como uma linha azul no gráfico, com maior espessura para facilitar a visualização. O resultado é uma curva que reflete o impacto teórico da taxa de juros DI11! sobre o ativo.
Utilidade
Este indicador é útil para entender como as taxas de juros podem influenciar ativos financeiros de forma hipotética. Ele é especialmente interessante para analistas que desejam avaliar a relação entre o mercado de renda variável e as condições de juros no curto prazo.
This script was created to adjust the price of an asset based on the DI11! interest rate, which reflects the market's expectation for future interest rates. The goal is to show how the asset's value would be influenced if it were directly adjusted by the variation of this interest rate.
How does it work?
Asset Price
The script starts by capturing the closing price of the asset that is being viewed on the chart. This is the starting point for the calculation.
DI11! Interest Rate
The script then searches for the daily values of the DI11! rate in the market. This rate is a short-term interest reference, used for financial adjustments and economic projections.
Adjustment Factor
With the DI11! interest rate, the script calculates a simple adjustment factor:
Adjustment Factor
=
1
+
DI11
100
Adjustment Factor=1+
100
DI11
This factor translates the percentage rate into a multiplier applied to the asset's price.
Adjusted Asset Calculation
Multiplies the asset price by the adjustment factor to obtain the adjusted asset value. This calculation shows how the price would be if it were directly influenced by the variation of the DI11! rate.
Display on the Chart
The script plots the adjusted asset price as a blue line on the chart, with greater thickness for easier visualization. The result is a curve that reflects the theoretical impact of the DI11! interest rate on the asset.
Usefulness
This indicator is useful for understanding how interest rates can hypothetically influence financial assets. It is especially interesting for analysts who want to assess the relationship between the equity market and short-term interest rate conditions.
PROWIN STUDY ALTCOIN INDEXPROWIN STUDY ALTCOIN INDEX
This indicator tracks the performance of key altcoin dominance indices (BTC.D, ETH.D, USDT.D, USDC.D, and DAI.D) by analyzing their closing prices. It calculates an Exponential Moving Average (EMA) to highlight the overall trend of the altcoin market. Key horizontal levels representing support (limit up), resistance (limit down), and a central line are drawn to help identify potential price action zones. This indicator is designed for analysis on the others.d asset in a daily timeframe, providing insights into market movements and altcoin dominance shifts.
Percent Movement HighlighterThe Percent Movement Highlighter is a custom TradingView indicator that visually highlights candles based on their percentage movement relative to the previous day's close. The indicator uses two user-defined thresholds:
Positive Threshold: Marks candles that move up by a specified percentage or more.
Negative Threshold: Marks candles that move down by a specified percentage or more.
Features:
Visual Highlights:
Green candles for upward moves exceeding the positive threshold.
Red candles for downward moves exceeding the negative threshold.
Dynamic Counters:
Displays a summary label that counts the number of positive, negative, and neutral candles dynamically as the chart progresses.
User Inputs:
Customizable positive and negative percentage thresholds to suit different trading strategies.
This tool is useful for traders seeking to identify significant price movements and analyze market volatility efficiently.
Pivot Highs/Lows with Bar CountsWhat does the indicator do?
This indicator adds labels to a chart at swing (a.k.a., "pivot") highs and lows. Each label may contain a date, the closing price at the swing, the number of bars since the last swing in the same direction, and the number of bars from the last swing in the opposite direction. A table is also added to the chart that shows the average, min, and max number of bars between swings.
OK, but how do I use it?
Many markets -- especially sideways-moving ones -- commonly cycle between swing highs and lows at regular time intervals. By measuring the number of bars between highs and lows -- both same-sided swings (i.e., H-H and L-L) and opposite-sided swings (i.e., H-L and L-H) -- you can then project the averages of those bar counts from the last high or low swing to make predictions about where the next swing high or low should occur. Note that this indicator does not make the projection for you. You have to determine which swing you want to project from and then use the bar counts from the indicator to draw a line, place a label, etc.
Example: Chart of BTC/USD
The indicator shows pivot highs and lows with bar counts, and it displays a table of stats on those pivots.
If you focus on the center section of the chart, you can see that prices were moving in a sideways channel with very regular highs and lows. This indicator counts the bars between these pivots, and you could have used those counts to predict when the next high or low may have occurred.
The bar counts do not work as well on the more recent section of the chart because there are no regularly time swings.
TASC 2025.01 Linear Predictive Filters█ OVERVIEW
This script implements a suite of tools for identifying and utilizing dominant cycles in time series data, as introduced by John Ehlers in the "Linear Predictive Filters And Instantaneous Frequency" article featured in the January 2025 edition of TASC's Traders' Tips . Dominant cycle information can help traders adapt their indicators and strategies to changing market conditions.
█ CONCEPTS
Conventional technical indicators and strategies often rely on static, unchanging parameters, which may fail to account for the dynamic nature of market data. In his article, John Ehlers applies digital signal processing principles to address this issue, introducing linear predictive filters to identify cyclic information for adapting indicators and strategies to evolving market conditions.
This approach treats market data as a complex series in the time domain. Analyzing the series in the frequency domain reveals information about its cyclic components. To reduce the impact of frequencies outside a range of interest and focus on a specific range of cycles, Ehlers applies second-order highpass and lowpass filters to the price data, which attenuate or remove wavelengths outside the desired range. This band-limited analysis isolates specific parts of the frequency spectrum for various trading styles, e.g., longer wavelengths for position trading or shorter wavelengths for swing trading.
After filtering the series to produce band-limited data, Ehlers applies a linear predictive filter to predict future values a few bars ahead. The filter, calculated based on the techniques proposed by Lloyd Griffiths, adaptively minimizes the error between the latest data point and prediction, successively adjusting its coefficients to align with the band-limited series. The filter's coefficients can then be applied to generate an adaptive estimate of the band-limited data's structure in the frequency domain and identify the dominant cycle.
█ USAGE
This script implements the following tools presented in the article:
Griffiths Predictor
This tool calculates a linear predictive filter to forecast future data points in band-limited price data. The crosses between the prediction and signal lines can provide potential trade signals.
Griffiths Spectrum
This tool calculates a partial frequency spectrum of the band-limited price data derived from the linear predictive filter's coefficients, displaying a color-coded representation of the frequency information in the pane. This mode's display represents the data as a periodogram . The bottom of each plotted bar corresponds to a specific analyzed period (inverse of frequency), and the bar's color represents the presence of that periodic cycle in the time series relative to the one with the highest presence (i.e., the dominant cycle). Warmer, brighter colors indicate a higher presence of the cycle in the series, whereas darker colors indicate a lower presence.
Griffiths Dominant Cycle
This tool compares the cyclic components within the partial spectrum and identifies the frequency with the highest power, i.e., the dominant cycle . Traders can use this dominant cycle information to tune other indicators and strategies, which may help promote better alignment with dynamic market conditions.
Notes on parameters
Bandpass boundaries:
In the article, Ehlers recommends an upper bound of 125 bars or higher to capture longer-term cycles for position trading. He recommends an upper bound of 40 bars and a lower bound of 18 bars for swing trading. If traders use smaller lower bounds, Ehlers advises a minimum of eight bars to minimize the potential effects of aliasing.
Data length:
The Griffiths predictor can use a relatively small data length, as autocorrelation diminishes rapidly with lag. However, for optimal spectrum and dominant cycle calculations, the length must match or exceed the upper bound of the bandpass filter. Ehlers recommends avoiding excessively long lengths to maintain responsiveness to shorter-term cycles.
Adjustable Entry Price Levels by Sobhi v6Adjustable Entry Price Levels", is designed to display customizable price levels on a chart, allowing traders to visualize key price zones relative to a chosen entry price. Here's a detailed breakdown of its functionality:
Purpose
The indicator helps traders create and manage equidistant price levels (both above and below a selected entry price). These levels can assist in planning trades, setting stop-loss and take-profit levels, or identifying key market zones for decision-making.
Features
Entry Price Input:
Users can specify a starting price (Entry Price) to base the levels on.
Adjustable Distance Between Levels:
Levels are spaced at a user-defined interval (Distance), creating equidistant horizontal lines.
Number of Levels:
Users can select how many levels to display above and below the entry price (Number of Levels).
Line Customization:
Style: Choose between Solid, Dotted, or Dashed lines.
Color: Customize the color for upward and downward levels (Line Color Up and Line Color Down).
Thickness: Adjust line thickness (Line Width).
Label Customization:
Visibility: Option to show or hide labels on each level (Show Labels).
Font Size: Set the size of the text for level labels (Label Font Size).
Colors: Separate customization for labels above (Label Color Up) and below (Label Color Down) the entry price.
Extended Line Display:
The lines extend backward (Extend Bars Back) and forward (Extend Bars Forward) to ensure visibility over a larger section of the chart.
Visualization
Upward Levels:
Represented by blue (default) horizontal lines above the entry price.
Labels display the price value of each level in the same color.
Downward Levels:
Represented by red (default) horizontal lines below the entry price.
Labels display the price value of each level in the same color.
Example Use Case
Scenario 1: Support and Resistance Planning
A trader can define a key level (Entry Price) and observe nearby support and resistance zones using the calculated price levels.
Scenario 2: Risk Management
The indicator helps in visualizing stop-loss and take-profit areas equidistant from the entry price.
Scenario 3: Breakout Targets
Traders can use the levels to anticipate potential breakout or breakdown targets.
Customization Options
This indicator is highly customizable, making it versatile for different trading strategies. Traders can tweak:
The visual appearance of the levels (style, color, width).
The number of levels and their spacing.
Whether labels are displayed and their style.
Raiks 3am Model & NQ MacrosThis indicator marks the 2 am candle (which is where we start our trading session and look for entries), and the 3 am candle with a dynamic background color feature. If the 3 am candle is bullish the background will be green. If the 3 am candle is bearish, the background will be red.
The 2 am candle Is there to make it easier to backtest and forward test when the trading session begins for this 3 am model. E.g. if at 2:10 you see a big bearish imbalance, you can enter off the retest/fill of the imbalance and target the nearest lows/highs imbalances or key levels on the left of the chart before 2 am aka the asian session range.
The significance of the 3 a.m. candle is a key part of my 3 a.m. model. Looking at the 5-minute chart only, If the 3 a.m. candle is bullish, then our market bias for the rest of the day is also bullish, and starting from the 3 am candle (once it has closed), we should look for bullish entry setups—and vice versa.
For Nasdaq or S&P500 only: If no setups can be found between 3 am and 9 am New York time (UTC-5), then look for entry setups within the ICT NY Macro timezones using the ICT market maker sell model (if we are bearish and looking for sells) or the market maker buy model (if we are bullish and looking for buys).
PS: This Strategy only requires you to use the 5-minute chart, starting from the 2 am candle up to the end of the trading day for entries and exits. Optionally, you can scale down to a 1-minute chart to refine your entries even better.
Backtest this model and you'll be surprised at how powerful the 3 am candle Is at determining daily bias!
Have Fun using this indicator :)
Made with love by Raik aka Don Raul aka Neon
