TS Volatility-Adjusted EWMAThe TS Volatility-Adjusted Exponentially Weighted Moving Average (EWMA) is a dynamic trend-following indicator designed to adapt to changing market volatility. Unlike traditional moving averages, this indicator adjusts its sensitivity based on market conditions, making it more responsive during periods of high volatility and smoother when markets are calmer.
Key Features:
Volatility Adjustment: The EWMA length is dynamically scaled using the Average True Range (ATR), making it adaptive to market volatility. This allows the indicator to react quickly when volatility spikes and remain stable when volatility drops.
User-Controlled Smoothing: The indicator includes an optional smoothing period, allowing you to adjust how smooth or reactive the line is to price changes. If you prefer a more smoothed-out trend, simply increase the smoothing length.
This indicator is perfect for trend-following traders who want an adaptive tool that stays responsive to the market’s volatility. The TS Volatility-Adjusted EWMA helps you confidently follow market trends, whether you’re riding a long-term trend or catching shorter-term movements.
Indicators and strategies
OutperformX VCPSwingDesigned to measure and visualize the relative strength and outperformance of a stock compared to a benchmark. Here’s a feature-by-feature breakdown
Credits to Eeshan for all the help
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Alpha Calculation: What's it About?
The key component of this indicator is the Alpha calculation, which measures a stock's outperformance relative to a base index (e.g., Nifty Midsmall 400) while accounting for risk-free returns. By comparing the stock's performance with the base and risk-free rates, we get the Alpha.
The Alpha logic has been slightly modified, not strictly following the textbook approach
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Customizable Inputs: Tailored for You
You can choose whether to display Alpha.
Change the Base Index (e.g., NiftyMidsmall400).
Adjust the Performance Period (Days) for custom Alpha/Outperformance calculations.
Performance options range from 5 to 252 days, helping to fine-tune the outperformance tracking.
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Highlighting Performance Peaks: Short-Term & Long-Term
The indicator automatically highlights Short-Term Peak Performance over customizable short-term windows (e.g., 21 days).
It also detects Long-Term Performance Peaks, spanning up to 52 weeks. These peaks are represented as dots on the Alpha line.
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Color-Coded Alpha: Clear Visuals
To make the indicator visually intuitive:
Positive Alpha (outperformance) is marked in green.
Negative Alpha (underperformance) is shown in red. These are customizable so you can adjust colors to your preference!
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Outperformance Before Price Peaks
One cool feature is tracking whether Alpha outperforms before the price hits new highs. If Alpha breaks out but price lags, a “dot” is drawn, giving a heads-up on potential upcoming price moves.
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Background Color Highlighting
Background colors change dynamically based on performance:
Green for positive Alpha (outperformance).
Red for negative Alpha (underperformance). This gives a quick visual reference of the stock’s performance at a glance.
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Filling the Alpha Zone
The indicator fills the area between the Alpha line and zero. This shading helps highlight the magnitude of outperformance (or underperformance) and provides a quick visual cue about trends.
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Get Started
With all these features combined, the Outperformance indicator becomes a powerful tool for spotting leading stocks, tracking risk-adjusted performance, and identifying performance peaks before price catches up.
DEB SuperTrend [Mattes]The Dynamic Envelope Based Supertrend integrates two key concepts: dynamic envelopes and the Supertrend, creating a powerful trend-following tool. Understanding its functionality requires a closer look at how the envelopes are constructed and how they interact with price action.
Dynamic Envelopes
>>> Dynamic envelopes are bands that surround a central moving average (MA) which is set by the user. These are then calculated based on the standard deviation of price movements over a specified period. The formula for the upper and lower envelopes is as follows:
Upper Envelope=MA+(Multiplier×STD)
Lower Envelope=MA−(Multiplier×STD)
This dynamic approach ensures that the envelopes expand and contract based on market volatility. In periods of high volatility, the envelopes widen, allowing for more price movement without triggering false signals. Conversely, in low-volatility periods, the envelopes tighten, enhancing sensitivity to price changes.
Interaction with the Supertrend
The Supertrend component is a trend-following indicator that utilizes the concept of Average True Range (ATR) to define its trailing stop levels.
In this indicator however (like I've mentioned before), the ATR bands have been replaced with the STD envelopes, as they offer a better performance compared to ATR bands.
Trend Direction
The Supertrend indicator generates buy and sell signals based on price crossing the calculated upper and lower envelopes:
>>> Buy Signal: Triggered when the price closes above the upper envelope, indicating a potential upward trend.
>>> Sell Signal: Triggered when the price closes below the lower envelope, suggesting a downward trend.
Adaptive Nature:
The dynamic envelopes effectively serve as dynamic support and resistance levels, which adapt to price movements and volatility, while the Supertrend tracks these levels to confirm the trend direction and adjust accordingly to changes, making it an enhanced version of ATR Based Supertrends.
Unique Aspects and Advantages
->>>> The Dynamic Envelope Based Supertrend is unique for several reasons:
>>> Volatility Responsiveness: The indicator adjusts its sensitivity based on market conditions, reducing the likelihood of false signals during quiet market phases and improving reliability during volatile periods. This is reasoned by the STD envelope bands contracting and expanding relative to the tickers performance.
>>> Trend Confirmation: By integrating the Supertrend logic, the indicator not only provides entry signals but also guides traders on when to exit, maintaining a focus on trend-following rather than mean reversion.
>>> Stability: Due to its use of Standard deviation envelopes, it is very ressistant in periods of uncertainty, Rather than buy bottom and selling tops, it stays long/short for the complete period of mean reverting environments, which is based on the bigger and fuller trend direction on the larger timescales.
>>> Clear Signals: The indicator simplifies decision-making by offering visual cues through its envelopes and trend signals, making it accessible to traders of all experience levels.
Summary:
The Dynamic Envelope Based Supertrend is a sophisticated trend-following indicator that intelligently combines dynamically adjusted STD envelopes with Supertrend logic. By incorporating volatility metrics, it offers a clear and actionable framework for traders, enhancing their ability to identify and follow trends effectively.
DSL Trend Analysis [ChartPrime]The DSL Trend Analysis indicator utilizes Discontinued Signal Lines (DSL) deployed directly on price, combined with dynamic bands, to analyze the trend strength and momentum of price movements. By tracking the high and low price values and comparing them to the DSL bands, it provides a visual representation of trend momentum, highlighting both strong and weakening phases of market direction.
⯁ KEY FEATURES AND HOW TO USE
⯌ DSL-Based Trend Detection :
This indicator uses Discontinued Signal Lines (DSL) to evaluate price action. When the high stays above the upper DSL band, the line turns lime, indicating strong upward momentum. Similarly, when the low stays below the lower DSL band, the line turns orange, indicating strong downward momentum. Traders can use these visual signals to identify strong trends in either direction.
⯌ Bands for Trend Momentum :
The indicator plots dynamic bands around the DSL lines based on ATR (Average True Range). These bands provide a range within which price can fluctuate, helping to distinguish between strong and weakening trends. If the high remains within the upper band, the lime-colored line becomes transparent, showing weakening upward momentum. The same concept applies for the lower band, where the line turns orange with transparency, indicating weakening downward momentum.
If high and low stays between bands line has no color
to make sure indicator catches only strong momentum of price
⯌ Real-Time Band Price Labels :
The indicator places two labels on the chart, one at the upper DSL band and one at the lower DSL band, displaying the real-time price values of these bands. These labels help traders track the current price relative to the key bands, which are essential in determining potential breakout or reversal zones.
⯌ Visual Confirmation of Momentum Shifts :
By monitoring the relationship between the high and low values of the price relative to the DSL bands, this indicator provides a reliable way to confirm whether the trend is gaining or losing strength. This allows traders to act accordingly, whether it's to enter or exit positions based on trend strength or weakness.
⯁ USER INPUTS
Length : Defines the period used to calculate the DSL lines, influencing the sensitivity of the trend detection.
Offset : Adjusts the offset applied to the upper and lower DSL bands, affecting how the thresholds for strong or weak momentum are set.
Width (ATR Multiplier) : Determines the width of the DSL bands based on an ATR multiplier, providing a dynamic range around the price for momentum analysis.
⯁ CONCLUSION
The DSL Trend Analysis indicator is a powerful tool for assessing price momentum and trend strength. By combining Discontinued Signal Lines with dynamically calculated bands, traders can easily spot key moments when momentum shifts from strong to weak or vice versa. The color-coded lines and real-time price labels provide valuable insights for trading decisions in both trending and ranging markets.
FVG Order Blocks [BigBeluga]This indicator is an advanced tool designed to detect and visualize market FVGs with order blocks, where the price action has created gaps due to strong buying or selling pressure. These FVG often act as critical support and resistance levels, giving traders strategic points for potential entries and exits. The indicator not only identifies these imbalances but also displays their relative strength by size %, helping traders prioritize order blocks that are more likely to hold or break.
The indicator works on various pairs and stocks, it also works on charts that do not provide volume data
Forex (JPY/USD):
Stocks (NVDA):
🔵 KEY FEATURES & USAGE
● FVGs Detection and Visualization:
The indicator detects bullish and bearish FVGs. Bullish FVG occur when there is significant buying, and order block is plotted below the FVG zone:
Conversely, bearish FVG are plotted with an order block above the zone, indicating potential resistance.
Traders can use these order blocks to anticipate price reactions when the market revisits these areas, making them ideal for setting up trades.
● FVG Filtering:
The indicator includes a FVG % filter that allows traders to only display strong order blocks. This ensures that only significant FVG order blocks are shown, reducing noise and focusing on the most impactful areas.
● Highlighting Broken Levels:
When an imbalance level is broken—either breached by price action or no longer relevant—the indicator can either delete the level or mark it with a gray color areas. This provides a clear visual cue that the level has been compromised, allowing traders to adjust their strategies accordingly.
● Order Blocks Signals:
When price retest the blocks, indicator display potential sell or buy signals. Which can be an opportunity for trades
🔵 CUSTOMIZATION
● FVG Filter:
Adjust the strength filter to control which FVGs are displayed based on their percentage size. This filter helps in focusing only on significant blocks that are likely to impact price action.
● Order Blocks Amount Displayed:
Set the maximum number of Order Blocks to be displayed on the chart. This customization helps keep the chart clean and ensures that only the most important blocks are in view.
● Broken Order Blocks Display:
Choose whether to display order blocks that have been broken by the price. This feature helps in maintaining a focus on blocks that are still valid while filtering out those that are no longer relevant.
● Color Customization:
You can customize the colors for bullish and bearish Order Blocks to match your chart's overall color scheme. Additionally, strength bars can be color-coded based on their percentage to quickly identify high-priority order blocks.
Traders who are confident in the settings of the indicator can confidently use it on various types of markets
Options Series - Dynamic Support & Resistance
🌟 Key Features & How It Works:
⭐ Dynamic Support and Resistance Management:
The script dynamically calculates and draws support and resistance lines based on pivot highs and pivot lows. Unlike static levels that remain unchanged, these lines are updated in real-time. When a support or resistance level is breached, the corresponding line is automatically deleted, keeping the chart clean and relevant. This feature ensures that the trader is always looking at valid support and resistance levels based on the current price action.
⭐ Use of Arrays for Line Management:
The script utilizes arrays to store and manage support and resistance lines (array.new_line(0)). This is a more advanced feature of Pine Script v5, allowing for efficient handling of multiple lines on the chart. By using arrays, the script can easily track and manipulate multiple lines (adding, removing, updating), ensuring that the chart remains optimized for real-time analysis.
⭐ Customizable Inputs for Flexibility:
The script includes user inputs for the pivot length and the line width, making it adaptable to different trading styles and preferences. The pivot length determines how sensitive the indicator is to price changes, while the line width allows traders to customize the visual representation of support and resistance levels. These inputs add flexibility and make the script accessible to a broad range of traders.
⭐ Efficient Breach Detection Mechanism:
The isBreached function is a key part of the script. It checks whether the current price has breached any of the existing support or resistance levels. If a breach is detected (i.e., the price crosses below a support or above a resistance), the respective line is deleted, ensuring that only active and valid lines remain on the chart. This automatic update feature reduces the need for manual intervention, helping traders stay focused on key price levels.
⭐ Visual Clarity and Chart Cleanliness:
By deleting breached lines, the script ensures that the chart does not become cluttered with outdated or irrelevant lines. This visual clarity is crucial for traders who rely on clean, simple charts for decision-making. Removing unnecessary information helps traders make faster, more confident decisions based on the current market structure.
⭐ Scalability for Multiple Timeframes:
The use of pivot points makes the script adaptable to different timeframes, from intraday scalping to longer-term swing trading. By changing the pivot length, traders can optimize the indicator for different market environments, ensuring that it can be applied across various asset classes and timeframes.
⭐ Practical for Range-bound and Breakout Trading:
This script is particularly effective for traders who focus on range-bound markets or breakout strategies. It allows them to quickly identify areas where price is likely to reverse (support/resistance) or break out (when support/resistance is breached), providing real-time insight into market dynamics.
⭐ Simplification of Price Action Analysis:
By automating the calculation of pivots and management of support/resistance levels, the script simplifies price action analysis. Traders no longer need to manually draw or monitor these levels, which is a common task in technical analysis. This provides an edge, as it reduces the time spent on chart preparation and helps focus on executing trades.
⭐ Originality:
The script "Options Series - Pivot Based Support & Resistance" is an original approach to generating support and resistance levels using pivot points. Pivot-based techniques are popular, but the script introduces an automated dynamic way of drawing support and resistance lines, tracking breaches, and deleting lines when they are no longer valid. This aspect adds a refreshing layer of interactivity and functionality that sets it apart from basic pivot point scripts. The use of arrays to store and manage multiple support and resistance lines is also a good application of Pine Script’s newer array functionalities.
⭐ Uniqueness of the Script:
The script stands out due to its dynamic management of support and resistance lines. Unlike traditional scripts that simply plot static pivot points, this one evolves with the market by removing broken levels, ensuring only valid support and resistance lines are visible on the chart. This is particularly useful for traders who focus on clean charting. The use of arrays to store and manage the lines, alongside the efficient deletion of lines when breached, demonstrates a solid understanding of Pine Script v5's advanced features, such as array manipulation.
🚀 Conclusion:
This script stands out for its real-time adaptability, dynamic support/resistance management, and efficient use of Pine Script’s advanced features. It a powerful tool for both novice and advanced traders.
The script is an indicator designed to draw support and resistance levels based on pivot highs and lows, dynamically removing lines when they are breached. If a price crosses a support or resistance level, the respective line is deleted, ensuring the chart reflects the current state of support and resistance accurately.
MomentumSignal Kit RSI-MACD-ADX-CCI-CMF-TSI-EStoch// ----------------------------------------
// Description:
// ----------------------------------------
// MomentumKit RSI/MACD-ADX-CCI-CMF-TSI-EStoch Suite is a comprehensive momentum indicator suite designed to provide robust buy and sell signals through the consensus of multiple normalized momentum indicators. This suite integrates the following indicators:
// - **Relative Strength Index (RSI)**
// - **Stochastic RSI**
// - **Moving Average Convergence Divergence (MACD)** with enhanced logic
// - **True Strength Index (TSI)**
// - **Commodity Channel Index (CCI)**
// - **Chaikin Money Flow (CMF)**
// - **Average Directional Index (ADX)**
// - **Ehlers' Stochastic**
//
// **Key Features:**
// 1. **Normalization:** Each indicator is normalized to a consistent scale, facilitating easier comparison and interpretation across different momentum metrics. This uniform scaling allows traders to seamlessly analyze multiple indicators simultaneously without the confusion of differing value ranges.
//
// 2. **Consensus-Based Signals:** By combining multiple indicators, MomentumKit generates buy and sell signals based on the agreement among various momentum measurements. This multi-indicator consensus approach enhances signal reliability and reduces the likelihood of false positives.
//
// 3. **Overlap Analysis:** The normalization process aids in identifying overlapping signals, where multiple indicators point towards a potential change in price or momentum. Such overlaps are strong indicators of significant market movements, providing traders with timely and actionable insights.
//
// 4. **Enhanced Logic for MACD:** The MACD component within MomentumKit utilizes enhanced logic to improve its responsiveness and accuracy in detecting trend changes.
//
// 5. **Debugging Features:** MomentumKit includes advanced debugging tools that display individual buy and sell signals generated by each indicator. These features are intended for users with technical and programming skills, allowing them to:
// - **Visualize Signal Generation:** See real-time buy and sell signals for each integrated indicator directly on the chart.
// - **Adjust Signal Thresholds:** Modify the criteria for what constitutes a buy or sell signal for each indicator, enabling tailored analysis based on specific trading strategies.
// - **Filter and Manipulate Signals:** Enable or disable specific indicators' contributions to the overall buy and sell signals, providing flexibility in signal generation.
// - **Monitor Indicator Behavior:** Utilize debug plots and labels to understand how each indicator reacts to market movements, aiding in strategy optimization.
//
// **Work in Progress:**
// MomentumKit is continuously evolving, with ongoing enhancements to its algorithms and user interface. Current debugging features are designed to offer deep insights for technically adept users, allowing for extensive customization and fine-tuning. Future updates aim to introduce more user-friendly interfaces and automated optimization tools to cater to a broader audience.
//
// **Usage Instructions:**
// - **Visibility Controls:** Users can toggle the visibility of individual indicators to focus on specific momentum metrics as needed.
// - **Parameter Adjustments:** Each indicator comes with customizable parameters, allowing traders to fine-tune the suite according to their trading strategies and market conditions.
// - **Debugging Features:** Enable the debugging mode to visualize individual indicator signals and adjust their contribution to the overall buy/sell signals. This requires a basic understanding of the underlying indicators and their operational thresholds.
//
// **Benefits:**
// - **Simplified Analysis:** Normalization simplifies the process of analyzing multiple indicators, making it easier to identify consistent signals across different momentum measurements.
// - **Improved Decision-Making:** Consensus-based signals backed by multiple normalized indicators provide a higher level of confidence in trading decisions.
// - **Versatility:** Suitable for various trading styles and market conditions, MomentumKit offers a versatile toolset for both novice and experienced traders.
//
// **Technical Requirements:**
// - **Programming Knowledge:** To fully leverage the debugging and signal manipulation features, users should possess a foundational understanding of Pine Script and the mechanics of momentum indicators.
// - **Customization Skills:** Ability to adjust indicator parameters and debug filters to align with specific trading strategies.
//
// **Disclaimer:**
// This indicator suite is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own analysis or consult a qualified financial advisor before making trading decisions.
Stochastics Confluences 4 in 1Description of the Pine Script:
This script plots the Full Stochastic indicator for four different time periods, and highlights conditions where potential buy or sell signals can be identified. The Stochastic indicator measures the position of the current closing price relative to the range of high and low prices over a defined period, helping traders identify overbought and oversold conditions.
Key Features:
Stochastic Calculation for 4 Different Periods:
The script calculates the Stochastic for four separate lookback periods: 9, 14, 40, and 60 bars.
Each Stochastic value is smoothed by a Simple Moving Average (SMA) to reduce noise and provide a clearer signal.
Visual Representation:
It plots each Stochastic value on the chart using different colors, allowing the user to see how the different periods of the indicator behave relative to each other.
Horizontal lines are drawn at 80 (Upper Bound) and 20 (Lower Bound), commonly used to identify overbought and oversold regions.
Highlighting Buy and Sell Conditions:
Green Highlight (Potential Buy Signal):
When all four Stochastic values (for the four different periods) are below 20, this suggests that the asset is in an oversold condition across multiple timeframes. The green background highlight appears when the Stochastic lines converge below 20, indicating a potential buy signal, as the price may be preparing to move upward from an oversold state.
Red Highlight (Potential Sell Signal):
When all four Stochastic values are above 80, the asset is in an overbought condition across multiple timeframes. The red background highlight appears when the Stochastic lines converge above 80, indicating a potential sell signal, as the price may soon reverse downward from an overbought state.
How to Interpret the Signals:
Buy Signals (Green Highlight):
When the chart is highlighted in green, it means the Stochastic indicators for all four periods are below 20, signaling that the asset is oversold and may be nearing a potential upward reversal. This condition suggests a possible buying opportunity, especially when other indicators confirm the potential for an upward trend.
Sell Signals (Red Highlight):
When the chart is highlighted in red, it indicates that the Stochastic indicators for all four periods are above 80, meaning the asset is overbought. This condition signals a possible downward reversal, suggesting a potential selling opportunity if the price begins to show signs of weakness.
By using this script, traders can visually identify periods of strong confluence across different timeframes when the Stochastic indicators are in extreme oversold or overbought conditions, which are traditionally seen as strong buy or sell signals.
This approach helps filter out weaker signals and focuses on moments when all timeframes align, increasing the probability of a successful trade.
Adjusted CoT IndexAdjusted COT Index
Improves upon: "COT Index Commercials vs large and small Speculators" by SystematicFutures
How: CoT Indexes are adjusted by Open Interest to normalise data over time, and threshold background colours are in-line with Larry Williams recommendations from his book.
Note: This indicator is **only** accurate on the Daily time-frame due to the mid-week release date for CoT data.
This script calculates and plots the Adjusted Commitment of Traders (COT) Index for Commercial, Large Speculator, and Retail (Small Speculator) categories.
The CoT Index is adjusted by Open Interest to normalise data through time, following the methodology of Larry Williams, providing insights into how these groups are positioned in the market with an arguably more historically accurate context.
COT Categories
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- Commercials (Producers/Hedgers): Large entities hedging against price changes in the underlying asset.
- Large Speculators (Non-commercials): Professional traders and funds speculating on price movements.
- Retail Traders (Nonreportable/Small Speculators): Small individual traders, typically less informed.
Features
----------
- Open Interest Adjustment
- The net positions for each category are normalized by Open Interest to account
for varying contract sizes.
- Customisable Look-back Period
- You can adjust the number of weeks for the index calculation to control the
historical range used for comparison.
- Thresholds for Extremes
- Upper and lower thresholds (configurable) are provided to mark overbought and
oversold conditions.
- Defaults
- Overbought: <=20
- Oversold: >= 80
- Hide Current Week Option
- Optionally hide the current week's data until market close for more accurate comparison.
- Visual Aids
- Plot the Commercials, Large Speculators, and Retail indexes, and optionally highlight extreme positioning.
Inputs
--------
- weeks
- Number of weeks for historical range comparison.
- upperExtreme and lowerExtreme
- Thresholds to identify overbought/oversold conditions (default 80/20).
- hideCurrentWeek
- Option to hide current week's data until market close.
- markExtremes
- Highlight extremes where any index crosses the upper or lower thresholds.
- Options to display or hide indexes for Commercials, Large Speculators, and Small Speculators.
Outputs
----------
- The script plots the COT Index for each of the three categories and highlights periods of extreme positioning with customisable thresholds.
Usage
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- This tool is useful for traders who want to track the positioning of different market participants over time.
- By identifying the extreme positions of Commercials, Large Speculators, and Retail traders, it can give insights into market sentiment and potential reversals.
- Reversals of trend can be confirmed with RSI Divergence (daily), for example
- Continuation can be confirmed with RSI overbought/oversold conditions (daily), and/or hidden RSI Hidden Divergence, for example
Vektorkerzen HighlightThe indicator highlights candles when:
The volume is at least twice the 20-period moving average.
The range (difference between high and low prices) is at least twice the 20-period average range.
Z-Score Pairs TradingTitle: Z-Score Pairs Trading Indicator
Description:
This indicator implements a Z-score based pairs trading strategy, allowing traders to identify potential statistical arbitrage opportunities between two selected assets.
Key Features:
- Calculates Z-score for the price difference between any two user-selected symbols
- Visualizes Z-score with customizable thresholds for signals
- Generates long and short signals based on extreme Z-score values
- Adaptable to various markets including stocks, ETFs, and commodities
How It Works:
1. The indicator calculates the price difference between two selected symbols.
2. It then computes the Z-score of this difference, showing how far the current spread deviates from its historical average.
3. When the Z-score exceeds set thresholds (default ±2), the indicator generates trading signals.
Settings:
- Symbol A and Symbol B: Select any two tradable symbols to compare
- Lookback Period: Number of periods for calculating the moving average and standard deviation
Interpretation:
- Z-score above 2: Potential short signal (pair is likely overextended)
- Z-score below -2: Potential long signal (pair is likely oversold)
- Z-score between -2 and 2: Normal trading range, no signals
Visual Aids:
- Blue line: Z-score
- Dashed lines: Threshold levels at 0, ±1, and ±2
- Green triangles: Long signals
- Red triangles: Short signals
Disclaimer:
This indicator is for educational and research purposes only. Trading carries a high level of risk. Always conduct your own analysis and manage your risk appropriately before entering any trade.
Made by @marekfleisi
*2.2 Aggregated (Raw Z-scores with MA)***To be used with other 2.2 indicator***
Key Indicators Used:
Oscillating Indicators: RSI, TSI, Stochastic, MACD, CCI, Vortex Indicator, Williams %R.
Perpetual Trend Indicators: EMA, ADX, Parabolic SAR, Supertrend, Donchian Channel, Ichimoku Cloud, RVGI.
How to Use the Indicator:
Raw Z-Score (Blue Line): This represents the real-time aggregated Z-score of all the indicators. It shows how far the current market conditions are from their average, helping you identify trends.
Moving Average of Z-Score (Orange Line): A smoothed version of the Z-score that helps confirm trends and eliminate noise.
Shaded Area: The area between the Z-score and its moving average is shaded green if the Z-score is above the moving average (bullish), and red if below the moving average (bearish).
Zero Line (Gray Line): Serves as a reference point. A Z-score crossing above zero could signal a bullish market, while crossing below zero could indicate bearish conditions.
This indicator helps in identifying market extremes and trend reversals by combining various technical indicators into a single aggregate score, ideal for spotting overbought or oversold conditions and possible trend shifts
Risk Matrix [QuantraSystems]Risk Matrix
The Risk Matrix is a sophisticated tool that aggregates a variety of fundamental inputs, primarily external (non-crypto) market data is used to assess investor risk appetite. By combining external macroeconomic factors and proxies for liquidity data with specific signals from the cryptomarket - the Risk Matrix provides a holistic view of market risk conditions. These insights are designed to help traders and investors make informed decisions on when to adopt a risk-on or risk-off approach.
Core Concept
The Risk Matrix functions as a dynamic risk assessment tool that integrates both fundamental and technical market indicators to generate an aggregated Z-score. This score helps traders to identify where the market is in a risk-off or risk-on state, The system provides both binary risk signals and a more nuanced “risk seasonality” mode for deeper analysis.
Key Features
Global Liquidity Aggregate - The Liquidity score is a custom measure of global liquidity, built by combining a variety of traditional financial metrics. These include data from central bank balance sheets, reverse repo operations and credit availability. This data is sourced from organizations such as the U.S. Federal Reserve, the European Central Bank, and the People’s Bank of China. The purpose of this aggregate is to gauge how much liquidity is available in the global financial system - which often correlates with risk sentiment. Rising liquidity tends to boost risk-on appetite, while liquidity contractions signal increased caution (risk-off) in the markets. The data sources used in this global liquidity aggregate include:
- U.S. Commercial Bank Credit data
- Federal Reserve balance sheet and reverse repo operations
- Liquidity from major central banks including the Fed, Bank of Japan, ECB, and PBoC
- Asset performance from major global financial indices such as the S&P 500, TLT, DXY (U.S. Dollar Index), MOVE (bond market volatility), and commodities like gold and oil.
Other key Z-scores (measured individually) - The Risk Matrix also incorporates other major Z-scores that represent different facets of the financial markets:
- Collateral Risk - A measure of US bond volatility, where higher values indicate higher interest rate risk - leading to potential market instability and cautious market behaviors.
- Stablecoin Dominance - The dominance of stablecoins in the crypto markets - which can signal risk aversion the total capital allocated to stables increases relative to other cryptocurrencies.
- US Currency Strength - The U.S. Dollar Index Z-score reflects currency market strength, with higher values typically indicating risk aversion as investors sell more volatile assets and flock to the dollar.
- Trans-pacific Monetary Bias - Signals capital flow and monetary trends that link between the East and West, heavily influencing global risk sentiment.
- Total - A measure of the total cryptocurrency market cap, signaling broader risk sentiment with the crypto market.
Neural Network Synthesis - The NNSYNTH component adds a machine learning inspired layer to the Risk Matrix. This custom indicator synthesizes inputs from various technical indicators (such as RSI, MACD, Bollinger Bands, and others) to generate a composite signal that reflects the health of the cryptomarket. While highly complex in its design, the NNSYNTH ultimately helps detect market shifts early by synthesizing multiple signals into one cohesive output. This score is particularly useful for gauging momentum and identifying potential turning points in market trends. Because the NNSYNTH is a closed source indicator, and it is included here, the Risk Matrix by extension is a closed source indicator.
How it Works
Z-score Aggregation - The Risk Matrix computes a final risk score by aggregating several Z-scores from different asset classes and data sources, all of which contribute proportionally to the overall market risk assessment. Each input is equally weighted - normalization allows for direct comparisons across global liquidity trends, currency fluctuations, bond market volatility and crypto market conditions. Furthermore, this system employs multi-calibration aggregation - where each individual matrix is itself an aggregate of multiple Z-scores derived from various timeframes. This ensures that each matrix captures a distinct average across different time horizons before being combined into the overall Risk Matrix. This layered, multi timeframe approach enhances the precision and robustness of the final Z-score.
Risk-On / Risk-Off Mode - The system’s binary mode provides a clear Risk On and Off signal. This nature of this signal is determined by the behavior of the Z-score relative to the midline, or Standard Deviation Bands, depending on specific conditions:
Risk-On is signaled when the aggregated final Z-score crosses above 0. However, in extreme oversold conditions, Risk-On can trigger early if the upper standard deviation band falls below the zero line. In such cases, the Risk-On signal is triggered when the z-score crosses the upper standard deviation band - without waiting to cross the midline.
Risk-Off is signaled when the final Z-score moves below 0. Similarly, Risk-Off can also be triggered early if the lower standard deviation band rises above the midline. In this instance, Risk-Off is triggered when the Z-score crosses below the lower band.
Risk Seasonality Mode - This mode offers a more gradual transition between risk states, measuring the change in the Z-score to visualize the shifts in risk appetite over time. It's useful for traders seeking to understand broader market cycles and risk phases. The seasonality view breaks down the market into the following phases:
Risk-On - High risk appetite where risk/cyclical markets are generally bullish.
Weakening - Markets showing signs of cooling off, here the higher beta assets tend to sell off first.
Risk-Off - Investors pull back, and bearish sentiment prevails.
Recovery - Signs of bottoming out, potential for market re-entry.
Component Matrices - Each individual Z-score is visualized as part of the component matrices - scaled to a 3 Sigma range. These component matrices allow traders to view how each data source is contributing to the overall risk assessment in real time - offering transparency and granularity.
Visuals and UI
Main Risk Matrix - The aggregated Z-Score is displayed saliently in the main risk matrix. Traders and investors can quickly see what season the Risk Matrix is signaling and adjust their strategies accordingly.
Overview Table - A detailed overview table shows the current confirmed Z-scores for each component, along with values from 2, and 3 bars back. This helps traders spot trends and the rate of change (RoC) between signals, offering additional insights for shorter-term risk management.
Customizability - Users can customize the visual elements of the matrix, including color palettes, table sizes, and positions. This allows for optimal integration into any trader’s existing workspace.
Usage Summary
The Risk Matrix is an incredibly versatile tool. It is especially valuable as a means of achieving a cross-market view of risk, incorporating both crypto-specific and macroeconomic factors. Some key use cases include:
Adjusting Capital Allocation Based on Risk Seasons - Traders can use the Risk Matrix to adjust their capital allocation dynamically. During Risk-On periods, they might increase exposure to long positions, capitalizing on stronger market conditions. Conversely, during Risk-Off periods, traders could reduce or hedge long positions and potentially scale up short positions or move into safer assets.
Complementing Other Trading Systems - The Risk Matrix can work alongside other technical systems to provide context to market moves. For instance, a trend-following strategy might suggest an entry, but the Risk Matrix could be used to verify whether the broader market conditions support this trade. If the Matrix is in a Risk-Off period, a trader might opt for more conservative trade sizes or avoid the trade entirely.
This flexibility allows traders to adjust their strategies and portfolio risk dynamically, enhancing decision making based on broader market conditions - as indicated by external macroeconomic factors, liquidity, and risk sentiment.
Important Note
The Risk Matrix always uses the most up-to-date data available, ensuring analysis reflects the latest market conditions and macroeconomic inputs. In rare cases, governments or financial institutions revise past data - and the Risk Matrix will adjust accordingly. This behavior can only be seen in the Liquidity Matrix. and can affect the final score. While this is uncommon, it highlights the benefit of using a system that adapts in real-time, incorporating the most accurate and current information to enhance decision making processes.
*2.2 Aggregate Signal Indicator (trial)How to Use the Indicator:
Trend Detection:
The aggregate trend score will plot above 0 for bullish conditions and below 0 for bearish conditions.
When the trend score is green, it indicates a positive (bullish) trend, while red indicates a negative (bearish) trend.
Visual Representation:
The blue line represents the aggregate trend score, while the grey line at 0 shows the neutral point.
The area between the trend score and the 0-line is filled with green (bullish) or red (bearish) based on the score's direction.
Confirming Trends:
Look for consistency in the trend score remaining above or below 0 to confirm a lasting trend.
Use this indicator alongside other trading strategies to filter out false signals and gain confirmation of market direction.
Customizable Inputs:
The indicator allows you to customize the settings for each individual indicator (e.g., lengths for EMA, ADX, RSI, MACD, etc.) to fine-tune the system to your preference or specific market conditions.
Farley's Accumulation-Distribution Accelerator (ADA)Farley's ADA (From The Master Swing Trader)
What it is :
ADA is designed to track volume oscillations in the market and reduce the impact of shock events.
It observes the supply-demand dynamics within the market, which can trigger natural levels of price reversals.
How It Works
Volume and Price Relationship: ADA measures the lag between price and volume movements. It highlights when volume leads or lags behind price changes, helping traders identify potential reversals or trends.
Signal Generation: ADA can generate faster and cleaner signals compared to traditional indicators like On-Balance Volume (OBV).
Usage
Support and Resistance: ADA formations can help identify support and resistance levels and trendlines.
detect natural levels where price reversals might occur.
Trend Identification: Look for significant divergences between ADA and price action to identify potential trend reversals.
Volume Analysis: Use ADA to anticipate pauses in price movements when volume leads, and expect dynamic trends when ADA significantly moves ahead of price action.
DUCPHAN BTC Price Slope 1. Indicator Overview
The indicator calculates the price slope of Bitcoin over a user-defined period. It monitors the slope and triggers alerts when the slope crosses predefined thresholds, indicating potential trend changes. The indicator also provides visual cues on the chart, such as background colors and lines, to help users easily spot these trends.
2. Input Parameters
The script allows users to set the following input parameters:
Length of time (in candles) for calculating the slope. This is used to compare the current price with the price from a certain number of candles ago.
Slope threshold defines the percentage change in the slope that will trigger an alert or visual signal.
3. Slope Calculation
The script calculates the average price by taking the average of the open, high, and low prices of each candle. It then compares the current average price with the average price from the specified number of candles ago. This comparison is used to calculate the percentage change in the slope.
4. Alerts for Trend Changes
Alerts are triggered when the slope crosses certain thresholds:
Uptrend alert: If the slope crosses from negative to positive, exceeding the defined threshold, an alert is triggered indicating the start of an uptrend.
Downtrend alert: If the slope crosses from positive to negative, dropping below the negative threshold, an alert is triggered indicating the start of a downtrend.
Additional alerts are sent when the trend ends (i.e., when the slope crosses back to neutral).
5. Visual Signals
The indicator visually highlights trend changes:
Background colors: The background turns green when the slope exceeds the positive threshold (uptrend), and it turns red when the slope drops below the negative threshold (downtrend).
Lines: Horizontal lines are drawn on the chart to mark the start of an uptrend (green line below the candles) or a downtrend (red line above the candles).
6. Previous Slope Tracking
The script keeps track of the previous slope to compare it with the current slope. This allows it to detect when a trend change occurs and trigger the appropriate alert.
7. Summary
In short, the indicator provides a comprehensive tool to detect Bitcoin price trends based on the slope of price movements over a given time period. It offers both alerts and visual signals to help users easily identify and act on potential trend changes.
3m Range with Length 7: This will calculate the price slope for the 3-minute timeframe using a range of 7 candles.
5m Range with Length 7: This will calculate the price slope for the 5-minute timeframe using a range of 7 candles.
30m Range with Length 1: This will calculate the price slope for the 30-minute timeframe using a range of 1 candle.
Steps:
Define new timeframes for 3m, 5m, and 30m.
Calculate the average price for each of these timeframes and their respective ranges.
Compute the slope based on these ranges and thresholds.
Add visual signals and alerts for each of these timeframes, similar to what is done for the original timeframe.
Here’s an overview of the logic (without code):
1. 3-Minute Timeframe (Range 7)
The average price is calculated for the 3-minute candles.
The slope is computed by comparing the current 3-minute average price to the average price from 7 candles ago.
If the slope crosses the defined threshold, alerts and visual signals (background color and lines) are triggered.
2. 5-Minute Timeframe (Range 7)
Similarly, the average price is calculated for the 5-minute candles.
The slope is calculated by comparing the current 5-minute average price with the average price from 7 candles ago.
When the slope crosses the threshold, it triggers corresponding alerts and visual signals.
3. 30-Minute Timeframe (Range 1)
For the 30-minute candles, the slope calculation is based on comparing the current 30-minute average price with the average price from just 1 candle ago.
As the slope crosses the threshold, alerts and signals will indicate the trend direction change.
Final Output:
By following this process, you will have multiple slope calculations running on different timeframes (3m, 5m, and 30m), each with its respective range settings. Visual signals (colors and lines) and alerts will be added for each timeframe to help identify trend changes more effectively.
Let me know if you need this explanation in more detail or need specific code adjustments for this setup!
[AA]-TrendFlow EMAs - TrendFlow EMAs: A Multi-Dimensional Trend Analysis Tool
The TrendFlow EMAs indicator is designed to help traders identify and act on trends, momentum shifts, and reversals across various timeframes. This tool combines multiple Exponential Moving Averages (EMAs), daily open levels, and PVSRA-based volume analysis to provide unique insights into market dynamics. By layering these components, the indicator offers a well-rounded view of both intraday and longer-term trends, making it suitable for traders of all styles, from scalpers to swing traders.
Key Features and Components:
EMA Trend Cloud with Bias Coloring:
The indicator plots an EMA cloud using two customizable EMAs (default 5 and 13) to highlight the trend's direction and strength.
Bias Coloring on the 50 EMA Cloud: The area between the 50 EMA and its upper/lower limits changes color based on trend bias.
When the 50 EMA rises, the cloud turns light green (bullish bias).
When the 50 EMA falls, the cloud shifts to light red (bearish bias).
This bias coloring helps traders quickly identify the dominant trend and momentum shifts at a glance.
Additional long-term EMAs (100, 200, and 800) provide context for market direction and align signals across different timeframes.
Daily Open Levels for Intraday Context:
This feature marks the daily open price, a key reference point for tracking intraday price action.
Use it to identify whether the market is trending away from or converging towards the daily open, allowing for better intraday entry and exit points.
PVSRA-Based Volume Candle Coloring:
The indicator colors candles using PVSRA (Price, Volume, Spread Analysis) logic to reveal high-volume price moves and fakeouts.
Green and red candles highlight strong bullish or bearish moves. Violet and blue candles indicate potential false moves, cautioning traders to avoid traps.
This volume-weighted candle analysis improves trend validation by helping traders avoid low-confidence setups.
Deviation Table for EMA Overextensions:
A table shows the percentage deviation of price from selected EMAs, helping traders identify overbought or oversold conditions.
Use this data to determine when the market is likely to revert back to mean levels or continue trending.
How to Use the Indicator Effectively:
Trend Confirmation: Use the EMA cloud and bias coloring to confirm trend direction. Enter trades in the direction of the trend when both the short-term and long-term EMAs align.
Intraday Trading: Pay attention to the daily open level—when the price stays above the open, the bias is bullish, and vice versa.
Volume Confirmation: Monitor the PVSRA candle colors to validate or question market moves.
For example, a transparent candle signals a possible fake bearish move, while a green candle indicates a high-confidence bullish push.
EMA Deviations: Consult the deviation table to see if price is extended beyond normal levels, potentially signaling a reversal or retracement.
Default Settings and Customization:
Fast EMA: 5
Slow EMA: 13
Trend Bias EMAs: 12 and 21 (for additional trend filtering)
Long-Term EMAs: 50, 100, 200, and 800
Bias Cloud on 50 EMA: Dynamic coloring to reflect bullish and bearish bias.
Color Modes: Supports dark and light modes for visual customization.
Volume Candles: The PVSRA-based volume coloring offers a clearer view of potential trend traps or momentum surges.
Why This Indicator Stands Out:
The TrendFlow EMAs indicator combines the strengths of multiple strategies—trend-following EMAs, intraday reference levels, and PVSRA-based volume analysis—into a single tool. This mashup creates more reliable signals and helps traders avoid common pitfalls like false breakouts or low-volume traps. The bias coloring on the 50 EMA cloud offers an additional edge, giving traders a quick visual indication of momentum changes. With its clear visual cues, customizable settings, and multi-dimensional insights, TrendFlow EMAs offers a complete solution for traders looking to trade trends confidently and accurately.
Best Practices:
Combine with other tools (like RSI or MACD) to further enhance trade entries and exits.
Adjust the EMA lengths to suit your trading style or the volatility of the asset you are analyzing.
Time Based 3 Candle Model CRT FrameworkThe 3 Candle Model Overview:
The 3 Candle Model serves as a sophisticated framework for traders to navigate the complexities of financial markets, particularly within futures and forex trading. This guide not only elaborates on the model's key features but also emphasizes its originality and practical usefulness in the TradingView community. The core principle of the 3 Candle Model revolves around understanding how candle patterns can represent significant price ranges, offering valuable insights into potential market movements. By integrating the model with other critical trading concepts such as the Power of Three (PO3), Open-High-Low-Close (OHLC), and Turtle Soup setups, traders can enhance their ability to identify high-probability trades and achieve better trading outcomes.
Indicator includes:
3 Customizable Timeframe choices to fractally frame 3 candle models for precision
Live Timers for each timeframe to always be aware of the models timing
Parent Candle tracking on every preffered timeframe until new models parent candle is printed
Key Features of the 3 Candle Model
The 3 Candle Model primarily utilizes a three-candle structure, where the first candle establishes a price range, the second candle may act as a confirmation (often termed a "turtle soup"), and the third candle provides the breakout or continuation. This structure is pivotal in determining entry and exit points for trades, ensuring that each trading decision is backed by solid price action analysis.
OHLC Principle:
The Open-High-Low-Close (OHLC) concept is integral to the 3 Candle Model, allowing traders to analyze price action more effectively. Understanding the relationship between these four price points helps traders gauge market sentiment and potential reversals. By incorporating OHLC into the model, traders can develop a deeper understanding of market structure and its implications for future price movements.
Delivery States:
The 3 Candle Model emphasizes the importance of delivery states, which refer to the market's phase during specific time frames. Recognizing these states aids traders in determining the appropriate conditions for entering trades, particularly when combined with the power of three and candle range patterns. This understanding is crucial for positioning trades in alignment with market momentum.
High Probability Setups:
By aligning the 3 Candle Model with inside bar setups, traders can optimize their strategies for high-probability outcomes. This approach capitalizes on the inherent fractal nature of price movements, where previous patterns repeat at different scales. The combination of the model and inside bar setups enhances the trader's toolkit, allowing for more strategic trade placements.
Turtle Soup Formation:
The 3 Candle Model intricately connects with the Turtle Soup concept, which focuses on false breakouts. Identifying these formations at critical levels enhances the trader's ability to anticipate reversals or continuation patterns. The timing of these setups, particularly during specified times like 3:00 AM, 6:00 AM, 9:00 AM, and 1:00 PM, is crucial for maximizing trade success.
Using the 3 Candle Model in Trading
Integration with PO3:
The Power of Three (PO3) is a fundamental aspect of the 3 Candle Model that emphasizes the significance of three distinct stages of price delivery. Traders can leverage this principle by observing the initial range, confirming patterns, and executing trades during the third phase, leading to higher risk-to-reward ratios. This three-stage approach enhances a trader's ability to make informed decisions based on market behavior.
Targeting Midpoints:
Successful application of the 3 Candle Model involves targeting the midpoints of identified ranges. This practice not only provides strategic entry points but also enhances the probability of reaching desired profit levels. By targeting these midpoints, traders can refine their exit strategies and manage risk more effectively.
Aligning with Market Timing:
Timing is everything in trading. By synchronizing the 3 Candle Model setups with the aforementioned key timeframes, traders can better position themselves to exploit market dynamics. This alignment also facilitates the identification of high-quality trades that exhibit strong potential for profitability.
Prioritizing A+ Setups:
By focusing on the 3 Candle Model and its associated concepts, traders can prioritize A+ setups that exhibit a strong alignment of factors. This methodical approach enhances the quality of trades taken, leading to improved overall performance. By cultivating a strategy centered on high-probability setups, traders can maximize their return on investment.
Ensuring Originality and Usefulness
To meet the TradingView community guidelines, it is essential that this script is both original and useful. The 3 Candle Model, in its essence, is designed to provide traders with a unique perspective on market movements, free from generic or rehashed strategies. This tool integrates unique interpretations of the three-candle model and the associated strategies that are distinctly articulated and innovative.
Practical Applications: there are many practical applications of the 3 Candle Model in various trading contexts. This model in conjunction with other strategies to cultivate high-probability trade setups that can enhance performance across diverse market conditions.
Educational Value: This script is crafted with educational value in mind, providing insights that extend beyond mere trading signals. It encourages users to develop a deeper understanding of market mechanics and the interplay between price action, time, and trader psychology.
Conclusion
The 3 Candle Model provides a comprehensive framework for traders to enhance their trading strategies in the futures and forex markets. By understanding and applying the principles of this model alongside the Power of Three, OHLC concepts, and Turtle Soup formations, traders can significantly improve their ability to identify high-probability trades. The emphasis on timing, delivery states, and alignment of ranges ensures that traders are well-equipped to navigate the complexities of market movements, ultimately leading to more consistent and rewarding trading outcomes.
As trading involves risk, it is essential for traders to utilize these principles judiciously and maintain a disciplined approach to their trading strategies. By adhering to the TradingView community guidelines and emphasizing originality, usefulness, and detailed descriptions, this 3 Candle Model script stands as a valuable resource for traders seeking to refine their skills and achieve greater success in the financial markets.
Through this detailed exploration of the 3 Candle Model, traders will not only learn to recognize and exploit key patterns in price action but also appreciate the interconnectedness of various trading strategies that can significantly enhance their performance and profitability.
Hawk Algo ProHawk Pro Algo: The Ultimate Smart Money & Trend Detection Tool
Hawk Pro Algo is a powerful trading indicator designed to help traders track institutional money movements, detect trend reversals, and generate precise buy/sell signals. By leveraging advanced algorithms, volume analysis, divergence detection, and dynamic gradient features, Hawk Pro Algo gives you the edge needed to navigate both trending and ranging markets with confidence.
Smart Money Detection
Hawk Pro Algo goes beyond standard indicators by focusing on tracking the movements of smart money (large institutional trades). This feature identifies key moments when significant players are entering or exiting the market, enabling you to align your trades with those of the most influential market participants.
Institutional Buy Signals: These signals occur when strong upward momentum, backed by large institutional buying, is detected. It gives you a clear sign that the market is about to rally.
Institutional Sell Signals: On the flip side, sell signals are generated when institutional selling pressure emerges, allowing you to exit positions before a significant drop.
These signals ensure that you're trading in sync with the smart money, maximizing your opportunities for profitable trades.
Buy & Sell Signals: Multiple Entry/Exit Points
Hawk Pro Algo comes equipped with multiple layers of buy and sell signals, giving traders the flexibility to spot different types of trading opportunities:
1. Diamond Buy & Sell Signals
Buy Diamonds: A green diamond appears when a combination of bullish signals, such as a strong price pattern and institutional buying pressure, align. These are ideal for capturing market upswings after confirmation.
Sell Diamonds: A red diamond is plotted when bearish conditions take over. This is a clear indicator that institutional sellers are driving the market down, signaling an ideal moment to exit.
2. CCI Cross Signals
CCI Buy Signals: Triggered when the Commodity Channel Index (CCI) crosses above a certain threshold, indicating a shift in momentum to the upside. This is visualized with a green cross, signaling a strong entry opportunity.
CCI Sell Signals: Similarly, when the CCI crosses below a threshold, a red cross is plotted, signaling the momentum has shifted downward, and it’s time to consider exiting.
3. Circle Buy & Sell Signals
Buy Circles: A green circle appears when the market is ready to reverse from a downward trend, confirming a strong buying opportunity. This is often combined with oversold conditions in the CCI to further validate the entry.
Sell Circles: A red circle is shown when the market is ready to correct or reverse after an upward movement. It confirms an ideal exit point to lock in profits before the market pulls back.
4. Trigger Signals
Buy Triggers: Trigger signals indicate moments of market manipulation or sudden dips in price, where a reversal could be imminent. These signals suggest that the market could rally after a short-lived price drop.
Sell Triggers: These are moments where downward manipulation is detected, warning traders of a potential sell-off or correction after a price spike.
Gradient CCI Oscillator: Dynamic Trend Strength with Overbought and Oversold Detection
The Gradient CCI Oscillator is one of the most unique aspects of Hawk Pro Algo. It combines momentum detection with visual cues to show trend strength and potential reversal points. The CCI doesn’t just indicate regular overbought and oversold levels—it provides a dynamic gradient transition to help you gauge market momentum.
Overbought and Oversold Glow
Potential Reversals (Glow Signals)
When the market is reaching critical overbought or oversold levels, Hawk Pro Algo uses a pink glow on the CCI to signal potential reversals:
Pink Glow (Overbought): When the CCI turns pink, the market is nearing a potential reversal from overbought conditions. It suggests caution and may be a signal to prepare for a downturn.
Pink Glow (Oversold): Conversely, a pink glow in oversold conditions signals a potential upward reversal, providing an early warning to get ready for a bullish move.
Three CCI Color Logics: Momentum and Reversal Detection
Hawk Pro Algo features a three-step gradient system that helps you visualize trend strength and detect potential reversals. This tricolor CCI logic transitions smoothly between green, white, and red, giving traders a deeper understanding of market dynamics.
#1: Red → White → Green Transition (and vice versa)
Green: Indicates strong bullish momentum. The CCI turns green when the market is in a strong upward trend, especially after recovering from oversold levels.
White: Represents a neutral zone, showing that momentum is fading or in transition. When the CCI is between overbought and oversold levels, the indicator turns white, signaling indecision or a potential upcoming shift in trend.
Red: Indicates strong bearish momentum. The CCI turns red when the market is under selling pressure or in an overbought state, signaling potential weakness.
This color transition allows you to see when momentum is shifting from bullish to bearish (or vice versa) and helps you time your entries and exits with greater precision.
ETHUSDT.P 8H
#2: Flippable Gradient CCI
For added flexibility, Hawk Pro Algo allows you to flip the CCI gradient colors to suit your personal preference:
By default, the gradient transitions from green (bullish) to red (bearish).
By flipping the gradient, you can reverse this visualization, with red indicating bullish momentum and green signaling bearish conditions.
This feature ensures that the CCI display aligns with your individual trading style, providing a clearer picture of market conditions.
#3: Overbought/Oversold Color Logic
When the CCI crosses into overbought or oversold territory, the color transitions to help you stay on top of extreme market conditions:
Darker Red for overbought levels, helping you recognize when the market may be due for a reversal.
Deeper Green for oversold levels, signaling potential buying opportunities as the market reaches exhaustion.
These color shifts ensure that traders are visually alerted to key moments in the market, helping to avoid buying at the top or selling at the bottom.
Trigger Signals: Detecting Market Manipulation
The trigger signals in Hawk Pro Algo are designed to detect potential market manipulation—moments when artificial price moves occur before a larger trend shift. These signals help protect you from false breakouts or breakdowns.
Buy Triggers: These occur when the indicator detects potential upward manipulation, helping you prepare for a rally after a price dip.
Sell Triggers: Conversely, sell triggers indicate potential downward manipulation, alerting you to a possible sell-off after a price spike.
These signals act as early warnings, helping you avoid getting caught in manipulated price action and positioning you for better trade entries.
Divergence Detection: Pinpointing Reversals with real time Confidence
Hawk Pro Algo excels in divergence detection, identifying both regular and hidden divergences. Divergences occur when price action and the oscillator (CCI) are out of sync, signaling potential reversals.
Bullish Divergence: This occurs when the price is making lower lows, but the CCI is making higher lows. It suggests that downward momentum is weakening, and a reversal could be imminent. In this case, wait for the CCI to turn green to confirm that the bullish divergence is playing out before entering a trade.
Bearish Divergence: This happens when the price is making higher highs, but the CCI is making lower highs, signaling that upward momentum is weakening. Wait for the CCI to turn red to confirm that the bearish divergence is unfolding, and then consider entering a short trade.
By waiting for the CCI color to change (green for bullish divergence, red for bearish divergence), you ensure that the divergence is confirmed before taking action, leading to higher-confidence trades.
How It All Works Together
The combination of CCI color transitions, overbought/oversold detection, smart money signals, and trigger manipulations makes Hawk Pro Algo a comprehensive tool for traders of all skill levels:
Trend Strength: The CCI gradient provides instant visual feedback on the strength of the current trend, helping you gauge when to stay in a trade or prepare for a reversal.
Reversal Signals: The color-coded overbought/oversold signals help you spot key moments when the market may reverse, while divergence detection adds another layer of confidence to your entries.
Smart Money Flow: Follow the institutional money with precision buy/sell signals based on volume and trend strength, ensuring that you're aligned with
CoffeeShopCrytpo Dynamic PPIIn the financial world, the Producer Price Index (PPI) is often used to measure how domestic products are performing over time, indicating the health of the market. Domestic products refer to goods and services that are produced within a specific country’s borders. However, in this indicator, we’ve taken that idea and applied it directly to financial assets, allowing traders to see how an asset is performing relative to its own base value over a given period of time.
Here, the asset’s base value is represented as 100%. When the asset performs above 100%, it's considered to be in a buyer's market—indicating strength and demand. Conversely, if the value dips below 100%, it's operating below its base value, signaling a potential seller's market.
Why This Matters:
This indicator not only converts an asset’s performance into a PPI-style calculation, but it also visualizes price movements as price candles. This dual perspective is crucial, because even if the asset’s performance is over 100%, the closing price might still fall below that threshold—adding nuance to your understanding of market conditions.
Key Features of the Indicator:
Bullish and Bearish Convergence Levels: These levels show whether the market leans bullish or bearish. If the Bullish Convergence level is higher than the Bearish one, the market is bullish, and vice versa. Importantly, these levels can signal shifts in market strength, regardless of where the PPI candles are positioned.
If Bullish Convergence is rising below Bearish, the bearish market is weakening and bullish pressure is growing. Conversely, if Bearish Convergence is falling above Bullish, the bearish side is losing ground.
Market Strength Visualizations:
Strong Bullish Market: Bullish Convergence is higher than Bearish, and it’s still rising.
Strong Bearish Market: Bearish Convergence is above Bullish, and it's climbing.
Weak Bullish Market: Bullish Convergence is above Bearish, but the PPI closes below Bullish Convergence.
Weak Bearish Market: Bearish Convergence is above Bullish, but the PPI closes above Bullish Convergence
Pullbacks:
Bullish Pullback: In a strong bullish market, the PPI shows lower closes below the Bullish Convergence.
Bearish Pullback: In a strong bearish market, the PPI shows higher closes above the Bullish Convergence.
Divergences:
Higher Price, Lower or Flat PPI: This indicates that while the asset’s price is rising, its underlying performance (relative to the PPI’s 100% base level) is not keeping up. Essentially, the asset is reaching new price highs, but its strength or "efficiency" of growth is weakening.
The PPI is designed to show the "return" of an asset's performance relative to its historical movement, so when it lags behind price, it suggests that the price rise may not be sustainable.
When you observe the first high of the PPI level above the bullish convergence level, followed by a second high of the PPI below the bullish convergence level in a bullish market, this creates a divergence.
Example of Divergence in image:
1. First High of PPI Above the Bullish Convergence Level:
This suggests strong bullish momentum. The asset’s performance, as measured by the PPI, is in line with or even outperforming price expectations, indicating the market is experiencing a robust bullish trend. The fact that the PPI level is above the bullish convergence line means that the asset is operating well above its base performance (above 100%) and bullish momentum is clearly dominant.
2. Second High of PPI Below the Bullish Convergence Level:
This marks a potential weakening of the bullish momentum. Although the market is still in a bullish state (since bullish convergence remains above bearish), the PPI failing to reach the bullish convergence level suggests that the asset’s performance is not keeping pace with price action or is underperforming relative to its earlier high.
The fact that this occurs while the market is still bullish (bullish convergence is greater than bearish) can signal a possible pullback or a temporary consolidation phase within the larger bullish trend.
What does a divergence mean:
Momentum Weakening: The second high of the PPI being below the bullish convergence line suggests that while prices may still be increasing, the strength behind the move is fading. The asset is not performing as strongly as it did during the first high, and the market’s confidence or momentum might be softening.
Potential Bullish Pullback: This could indicate that a pullback or correction within the larger bullish trend is underway. Traders might be taking profits, or buyers could be losing enthusiasm, causing the asset to stall temporarily. However, because the overall market remains bullish, this doesn’t necessarily mean a full reversal—just a cooling off period.
Caution in New Long Positions: If you see this divergence, it could be a sign to be more cautious about opening new long positions. It suggests that the asset may need to consolidate or correct before resuming its upward trend, and it’s worth waiting for confirmation of renewed momentum before jumping back in.
ATR Settings
Youll notice there are two ATR settings. One for short term and one for long term.
These values are based on your preferential strategy for what you consider to be long and short term.
The final ATR values are calculated against eachother and applied to the Volatility Label at the end of price.
This label shows you the current ATR as well as the previous candle ATR.
Why this is important:
If the short term ATR is greater than the long term ATR, then volatility is rising in the short term greater than the long term.
This gives your label a value greater than 1.0. This means the short term trend is about to move.
If the long term ATR is greater than the short term ATR, there is no volatility in the short term and only long term exists.
This gives you a value of less than 1.0. This means no volatility or ranging market in the short term.
Sell Signals EMA+SMAIndicator Overview:
This indicator identifies sell signals based on candlestick patterns, volume conditions, and moving average confirmations. It also plots support and resistance levels based on pivot highs and pivot lows. You can configure different settings like pivot lengths, moving average periods, and candlestick pattern conditions for the sell signals.
Configurable Settings:
Pivot High Length: Defines the number of bars used to calculate the resistance levels (pivot highs).
Pivot Low Length: Defines the number of bars used to calculate the support levels (pivot lows).
Volume SMA Length: The period of the simple moving average (SMA) for volume. Used to filter signals based on high volume.
Close SMA Length: The period of the simple moving average (SMA) for the close price. Used for confirmation of sell signals.
Pin Bar High Ratio: The ratio for defining the size of the upper wick in a bearish pin bar.
Pin Bar Low Ratio: The ratio for defining the size of the lower wick in a bearish pin bar.
How It Works:
Support and Resistance:
The indicator plots red lines for resistance (pivot highs) and green lines for support (pivot lows).
These levels are updated as new pivot points are detected based on the configured pivot lengths.
Sell Signal Conditions:
Candlestick Patterns: The indicator checks for two bearish patterns:
Bearish Pin Bar: A candle with a large upper wick and small lower wick where the close is below the open.
Bearish Engulfing: A candle where the current close is lower than the previous low, and the current open is higher than the previous high.
Volume Condition: The volume must be above the configured simple moving average (SMA) of the volume.
Confirmation: A sell signal is confirmed only when the price crosses below the configured SMA for the close price.
Sell Signals:
If all the conditions (candlestick pattern, volume, and confirmation) are met, the indicator will plot a red "Sell" label above the candle.
Additionally, a blue triangle will appear above the candle to indicate that the sell signal has been confirmed.
How to Use:
Adjust the Settings:
Open the settings of the indicator and adjust the parameters like pivot lengths, moving average periods, and candlestick pattern ratios based on your preferences.
Identify Key Levels:
Watch the red resistance and green support lines to identify key levels where price may reverse.
Look for Sell Signals:
When a red "Sell" label appears, it indicates a possible sell opportunity.
Ensure that a blue triangle (confirmation) also appears to validate the sell signal.
Manage Risk:
Use the support and resistance levels along with the sell signals to define your entry, stop-loss, and take-profit levels.
This indicator helps you identify potential bearish reversal points with configurable settings for added flexibility.
Spazz MSiThis innovative adaptation of the Enhanced McClellan Summation Index (MSI) incorporates advanced statistical analysis to refine its market interpretation capabilities. The core enhancement involves the integration of a Z-score calculation, which is applied to a user-selectable price data series (open, high, low, close, or their derivatives).
Key modifications and improvements include:
1. Flexible Data Input: The indicator now allows for the selection of various price points or their combinations (e.g., OHLC4, HLC3) as the basis for the MSI calculation, enhancing its adaptability to different trading strategies and market conditions.
2. Z-Score Integration: By incorporating a Z-score metric, the indicator provides a standardized measure of the price series' deviation from its mean. This statistical approach offers a more nuanced view of market extremes.
3. Dynamic Overbought/Oversold Identification: The Z-score implementation enables a more sophisticated method for identifying overbought and oversold conditions. These states are now determined relative to the asset's own historical volatility, rather than fixed thresholds.
4. Automated Signal Generation: The indicator now features an algorithmic approach to generate buy and sell signals. These signals are triggered when specific Z-score thresholds are breached, offering traders clear, statistically-backed entry and exit points.
5. Visual Enhancements: The addition of graphical elements, such as color-coded plots and shape markers, improves the indicator's visual interpretability, allowing for quicker and more intuitive market analysis.
This enhanced version of the McClellan Summation Index combines the robust trend-following capabilities of the original MSI with the precision of statistical analysis. By doing so, it provides traders with a more refined tool for market timing and trend identification, particularly useful in volatile or transitioning market conditions.
Open Interest Ribbon Trend [Orderflowing]Open Interest Data Aggregation | Multiple Exchange Sources | Open Interest Delta & Relative Volume | Ribbon Trend Analysis & Forecasting
Built using Pine Script V5.
Introduction
The Open Interest Ribbon Trend Indicator is designed to offer traders analysis of Open Interest across multiple exchanges, merging volume-based analysis with Ribbon Trend. Practically Integrating Open Interest data with customizable trend detection.
This Indicator pulls Open Interest data from major cryptocurrency exchanges Binance, Bybit, BitMEX, Kraken, and Bitfinex, combining these sources into a aggregated format. With Ribbon Trend logic, the tool can potentially help identify trend shifts in the open interest data.
Use of Open-Source Code
Specific parts of this Indicator's code have been inspired by & further developed from publicly available code originally developed for the MetaTrader platform.
All such integrations have been wired to work within the TradingView environment, specifically using Pine Script Version 5.
Elements have been made to benefit the overall functionality, the code logic, to make sure it offers unique value to TradingView's users.
Innovation and Inspiration
This Indicator builds on Open Interest analysis by integrating the Ribbon Trend component. It is inspired by the potential need for traders to aggregate volume data with trend-following methods to see potential direction, strength, and reversals. It combines Open Interest Delta with relative volume analysis.
How To Use Open Interest - Cheat Sheet
The Open Interest Cheat Sheet outlines four primary scenarios based on the relationship between Price Action and Open Interest.
Bullish Market
Price Up + Open Interest Up
This indicates that long positions are being opened, signaling a strong market.
The uptrend is likely to continue as traders increase their positions in the direction of the price movement.
A strong market where the uptrend should persist.
Neutral Bullish (Long Squeeze)
Price Down + Open Interest Down
Positions are being closed, particularly long positions, which are being squeezed out of the market.
This suggests a neutral or slightly bullish outlook as the downtrend weakens.
The market is neutral or slightly bullish, with a potential weakening of the downtrend.
Neutral Bearish (Short Squeeze)
Price Up + Open Interest Down
Short positions are being closed, indicating a short squeeze.
While price is increasing, the decrease in OI reflects weakening momentum.
The uptrend could be losing strength.
Neutral to slightly bearish, as the uptrend may be weakening.
Bearish Market
Price Down + Open Interest Up
Short positions are being opened, indicating a weak market.
The downtrend is likely to continue as traders open new positions betting on further price declines.
A weak market where the downtrend is expected to continue.
OI Going Up usually means traders are opening new positions in the direction of price action.
OI Going Down often indicates positions are being closed, which could signal a potential price reversal.
Core Features
Multi-Exchange Open Interest Data
Aggregates Open Interest from multiple exchanges
Open Interest Delta & Relative Volume
Example
1st Oscillation: Open Interest Delta & 2nd Oscillation Relative Volume
Includes options to display Open Interest Delta alongside Relative Volume, allowing traders to monitor market participation and volume pressure.
Ribbon Trend Analysis
Uses customizable MAs to create a Ribbon Trend visualization. The goal is to visualize trends in the aggregated Open Interest data.
High Market Activity Visuals
Option to highlight relatively significant increases or decreases in the Open Interest, color-coded for identification.
Forecasting Feature
Includes Ribbon Trend's forecasting feature that projects future trends based on current market conditions, providing a forward-looking view of potential market movements.
Application
Open Interest Aggregation
The Indicator pulls Open Interest data from cryptocurrency exchanges: Binance, Bybit, BitMEX, Kraken, and Bitfinex, aggregating this information to offer a view of volume participation.
Ribbon Trend Logic
The Ribbon Trend visually tracks direction, with customizable smoothing options. This feature allows traders to detect potential trend shifts and market momentum.
Delta & Relative Volume Analysis
By visualizing the Open Interest Delta alongside relative volume, traders can identify moments of intense buying or selling pressure, giving potential clues on how market participants are positioned.
High-Volume Visuals
Traders can receive visual cues for significant changes in Open Interest, potentially helping to spot large market movements before they happen.
Customization
Moving Average Types. Select from EMA, DEMA, HMA, Laguerre, and others for Ribbon Trend logic.
Color Customization. Set different colors for uptrends and downtrends, making it easier to follow the Ribbon Trend.
Thresholds & Alerts. Customize the thresholds for significant Open Interest changes to suit your trading style.
Conclusion
The Open Interest Ribbon Trend Indicator is a tool for traders looking to integrate Open Interest data with trend analysis. Its multi-exchange aggregation and integrated trend logic offers a different perspective, providing visuals potentially useful for trend following, market reversals, and volume-based trading strategies.
Disclaimer
While the Indicator is a tool to analyzing trends in open interest & volume, traders should not solely rely on it for trading decisions. As with all trading tools, it should be used as part of a complete trading strategy.
Note that the is independent from the script. This Indicator focuses specifically on analyzing Open Interest and volume trends.
