UVR Crypto TrendINDICATOR OVERVIEW: UVR CRYPTO TREND
The UVR Crypto Trend indicator is a custom-built tool designed specifically for cryptocurrency markets, utilizing advanced volatility, momentum, and trend-following techniques. It aims to identify trend reversals and provide buy and sell signals by analyzing multiple factors, such as price volatility(UVR), RSI (Relative Strength Index), CMF (Chaikin Money Flow), and EMA (Exponential Moving Average). The indicator is optimized for CRYPTO MARKETS only.
KEY FEATURES AND HOW IT WORKS
Volatility Analysis with UVR
The UVR (Ultimate Volatility Rate) is a proprietary calculation that measures market volatility by comparing significant price extremes and smoothing the data over time.
Purpose: UVR aims to reduce noise in low-volatility environments and highlight significant movements during higher-volatility periods. While it strives to improve filtering in low-volatility conditions, it does not guarantee perfect performance, making it a balanced and adaptable tool for dynamic markets like cryptocurrency.
HOW UVR (ULTIMATE VOLATILITY RATE) IS CALCULATED
UVR is calculated using a method that ensures precise measurement of market volatility by comparing price extremes across consecutive candles:
Volatility Components:
Two values are calculated to represent potential price fluctuations:
The absolute difference between the current candle's high and the previous candle's low:
Volatility Component 1=∣High−Low ∣
The absolute difference between the previous candle's high and the current candle's low:
Volatility Component 2=∣High −Low∣
Volatility Ratio:
The larger of the two components is selected as the Volatility Ratio, ensuring UVR captures the most significant movement:
Volatility Ratio=max(Volatility Component 1,Volatility Component 2)
Smoothing with SMMA:
To stabilize the volatility calculation, the Volatility Ratio is smoothed using a Smoothed Moving Average (SMMA) over a user-defined period (e.g., 14 candles):
UVR=(UVR(Previous)×(Period−1)+Volatility Ratio)/Period
This calculation ensures UVR adapts dynamically to market conditions, focusing on significant price movements while filtering out noise.
RSI FOR MOMENTUM DETECTION
RSI (Relative Strength Index) identifies overbought and oversold conditions.
Trend Confirmation at the 50 Level
RSI values crossing above 50 signal the potential start of an upward trend.
RSI values crossing below 50 indicate the potential start of a downward trend.
Key Reversals at Extreme Levels
RSI detects trend reversals at overbought (>70) and oversold (<30) levels.
For example:
Overbought Trend Reversal: RSI >70 followed by bearish price action signals a potential downtrend.
Oversold Trend Reversal: RSI <30 with bullish confirmation signals a potential uptrend.
Rare Extreme RSI Readings
Extreme levels, such as RSI <12 (oversold) or RSI >88 (overbought), are used to identify rare yet powerful reversals.
---HOW IT DIFFERS FROM OTHER INDICATORS---
Using UVR High and Low Values
The Ultimate Volatility Rate (UVR) focuses on analyzing the high and low price ranges of the market to measure volatility.
Unlike traditional trend indicators that rely primarily on momentum or moving average crossovers, UVR leverages price extremes to better identify trend reversals.
This approach ensures fewer false signals during low-volatility phases and more accurate trend detection during high-volatility conditions.
UVR as the Core Component
The indicator is fundamentally built around UVR as the primary filter, while supporting tools like RSI (momentum detection), CMF (volume confirmation), and EMA (trend validation) complement its functionality.
By integrating these additional components, the indicator provides a multidimensional analysis rather than relying solely on a single approach.
Dynamic Adaptation to Volatility
UVR dynamically adjusts to market conditions, striving to improve filtering in low-volatility phases. While not flawless, this approach minimizes false signals and adapts more effectively to varying levels of market activity.
Trend Clouds for Visual Guidance
UVR-based dynamic clouds visually mark high and low price areas, highlighting potential consolidation or retracement zones.
These clouds serve as guides for setting stop-loss or take-profit levels, offering clear risk management strategies.
BUY AND SELL SIGNAL LOGIC
BUY CONDITIONS
Momentum-Based Buy-Entry
RSI >50, CMF >0, and the close price is above EMA50.
The price difference between open and close exceeds a threshold based on UVR.
Oversold Reversal
RSI <30 and CMF >0 with a strong bullish candle (close > open and UVR-based sensitivity filter).
Breakout Confirmation
The price breaks above a previously identified resistance, with conditions for RSI and CMF supporting the breakout.
Reversal from Oversold RSI Extreme
RSI <12 on the previous candle with a strong rebound on the current candle with UVR confirmation filter.
SELL CONDITIONS
Momentum-Based Sell-Entry
RSI <50, CMF <0, and the close price is below EMA50.
The price difference between open and close exceeds the UVR threshold.
Overbought Reversal
RSI >70 with bearish price action (open > close and UVR-based sensitivity filter).
Breakdown Confirmation
The price breaks below a previously identified support, with RSI and CMF supporting the breakdown.
Reversal from Overbought RSI Extreme
RSI >88 on the previous candle with a bearish confirmation on the current candle with UVR confirmation filter.
BUY AND SELL SIGNALS VISUALIZATION
The UVR Crypto Trend Indicator visually represents buy and sell conditions using dynamic plots, making it easier for traders to interpret and act on the signals. Below is an explanation of the visual representation:
Buy Signals and Visualization
Signal Trigger:
A buy signal is generated when one of the defined Buy Conditions is met (e.g., RSI >50, CMF >0, price above EMA50).
Visual Representation:
A blue upward arrow appears at the candle where the buy condition is triggered.
A blue cloud forms above the price candles, representing the strength of the bullish trend. The cloud dynamically adapts to market volatility, using the UVR calculation to mark support zones or consolidation levels.
Purpose of the Blue Cloud:
It acts as a visual guide for price movements and stay horizontal when the trend is not moving up
Sell Signals and Visualization
Signal Trigger:
A sell signal is generated when one of the defined Sell Conditions is met (e.g., RSI <50, CMF <0, price below EMA50).
Visual Representation:
A red downward arrow appears at the candle where the sell condition is triggered.
A red cloud forms below the price candles, representing the strength of the bearish trend. Like the blue cloud, it uses the UVR calculation to dynamically mark resistance zones or potential retracement levels.
Purpose of the Red Cloud:
It acts as a visual guide for price movements and stay horizontal when the trend is not moving down.
CONCLUSION
The UVR Crypto Trend indicator provides a powerful tool for trend reversal detection by combining volatility analysis, momentum confirmation, and trend-following techniques. Its unique use of the Ultimate Volatility Rate (UVR) as a core element, supported by proven indicators like RSI, CMF, and EMA, ensures reliable and actionable signals tailored for the crypto market's dynamic nature. By leveraging UVR’s high and low price range analysis, it achieves a level of precision that traditional indicators lack, making it a high-performing system for cryptocurrency traders.
Penunjuk dan strategi
Fibonacci Snap Tool [TradersPro]
OVERVIEW
The Fibonacci Snap tool automatically snaps to the swing high and swing low of the price data shown on the chart display. Fibonacci retracement levels can be used for entry, exit, or as a confirmation of trend continuation.
If the swing high on the chart comes before the swing low, the price is in a downtrend.If the swing high comes after the swing low, the price is in an uptrend.
We call the 23.60% Fibonacci level the momentum zone of the trend. Price in a solid trend, either up or down, will typically hold the 23.60% Fibonacci level as support (demand) in an uptrend or resistance (supply) in a downtrend.
Deeper Fibonacci levels of 38.20%, 50.00%, and 61.80% are corrective supply/demand zones. As price moves against the found trend, it can move into this range block we call the corrective zone.
Fibonacci retracement levels are used to identify potential supply/demand areas where price could reverse or consolidate. These levels are based on key ratios derived from the Fibonacci sequence, and we only use the core 23.60%, 38.20%, 50.00%, and 61.80% ratios.
CONCEPTS
Price action moves in trend cycles, these retracement levels help traders measure proportional relationships between the high/low swings in the price trend.
When a price trend is moving against the trend, traders can find opportunities to trade with the current trend at key Fibonacci levels. Fibonacci levels can be used to anticipate where price might find supply/demand imbalance and continue moving in the trend direction.
Traders apply the indicator by selecting a window of price they want to analyze in the chart display, and the Fibonacci Snap tool will snap to the high and low of the visible price display.
The Intent and Use of This Tool
The 23.60% level acts as a momentum or continuation of trend. The 38.20% to 61.80% range are corrective zones of the trend.
The 61.80% level, also known as the golden ratio (Google the term “Golden Ratio”; it's fun), can often represent the location of supply/demand imbalance.
In an uptrend, it can represent the area of no more selling supply, and the balance can shift to buying demand. In a downtrend, it can represent the area of no more buying demand and the balance can shift to selling supply.
When used with the Momentum Zones indicator, these two tools create a powerful combination for traders to find, implement, and manage trades.
Gold Friday Anomaly StrategyThis script implements the " Gold Friday Anomaly Strategy ," a well-known historical trading strategy that leverages the gold market's behavior from Thursday evening to Friday close. It is a backtesting-focused strategy designed to assess the historical performance of this pattern. Traders use this anomaly as it captures a recurring market tendency observed over the years.
What It Does:
Entry Condition: The strategy enters a long position at the beginning of the Friday trading session (Thursday evening close) within the defined backtesting period.
Exit Condition: Friday evening close.
Backtesting Controls: Allows users to set custom backtesting periods to evaluate strategy performance over specific date ranges.
Key Features:
Custom Backtest Periods: Easily configurable inputs to set the start and end date of the backtesting range.
Fixed Slippage and Commission Settings: Ensures realistic simulation of trading conditions.
Process Orders on Close: Backtesting is optimized by processing orders at the bar's close.
Important Notes:
Backtesting Only: This script is intended purely for backtesting purposes. Past performance is not indicative of future results.
Live Trading Recommendations: For live trading, it is highly recommended to use limit orders instead of market orders, especially during evening sessions, as market order slippage can be significant.
Default Settings:
Entry size: 10% of equity per trade.
Slippage: 1 tick.
Commission: 0.05% per trade.
Turtle Trade Channels Indicator with EMATurtle Trade Channels Indicator with EMA (TuTCI + EMA)
This custom indicator combines the classic Turtle Trading Channel strategy with an Exponential Moving Average (EMA) filter to provide clear entry and exit signals, as well as trend direction guidance.
Features:
Turtle Channels: The indicator calculates the upper and lower Turtle Trading Channels based on the highest and lowest values over a user-defined period ( Entry Length for the channel).
Entry/Exit Signals: Alerts you to potential buy and sell opportunities with visual signals on the chart.
Long Entry: When the price crosses above the upper channel.
Short Entry: When the price crosses below the lower channel.
Long Exit: When the price breaks below the exit line.
Short Exit: When the price breaks above the exit line.
EMA Filter: A 50-period Exponential Moving Average (EMA) is included to identify the overall trend. The background color turns green when the price is above the EMA (bullish trend) and red when the price is below the EMA (bearish trend).
Highlighter: Optional background highlighting for the most relevant signals, such as when the price crosses the upper or lower Turtle Channel. This feature helps to easily identify key market movements.
Visual Customization: Customize the EMA length, Entry/Exit lengths, and toggle signals and highlighting to suit your preferences.
How It Works:
The Turtle Trade Channels are designed to capture breakouts by identifying key price levels (highest high and lowest low) over a specified period. By combining this strategy with an EMA, the indicator ensures trades are aligned with the broader trend, increasing the probability of successful trades.
Uptrend: When the price is above the EMA, the indicator considers the trend to be bullish, and it highlights long entry signals.
Downtrend: When the price is below the EMA, the trend is considered bearish, and short entries are emphasized.
Customization:
Entry Length: Adjusts the period for calculating the Turtle Channel's entry levels.
Exit Length: Defines the period for calculating the exit levels.
EMA Length: The period for the Exponential Moving Average (default is set to 50).
Show Entry/Exit Signals: Toggle the visibility of entry/exit signals on the chart.
Highlighter On/Off: Toggle background highlighting for key signals.
This indicator is suitable for traders who follow trend-following strategies, particularly those influenced by the Turtle Trading methodology, and wish to use an EMA filter for better trend confirmation.
Use Cases:
Trend-following traders looking for clear entry/exit signals.
Breakout traders using the Turtle Trading concept to identify price breakouts.
Swing traders who want to incorporate trend analysis with price levels.
Bollinger Breakout Strategy with Direction Control [4H crypto]Bollinger Breakout Strategy with Direction Control - User Guide
This strategy leverages Bollinger Bands, RSI, and directional filters to identify potential breakout trading opportunities. It is designed for traders looking to capitalize on significant price movements while maintaining control over trade direction (long, short, or both). Here’s how to use this strategy effectively:
How the Strategy Works
Indicators Used:
Bollinger Bands:
A volatility-based indicator with an upper and lower band around a simple moving average (SMA). The bands expand or contract based on market volatility.
RSI (Relative Strength Index):
Measures momentum to determine overbought or oversold conditions. In this strategy, RSI is used to confirm breakout strength.
Trade Direction Control:
You can select whether to trade:
Long only: Buy positions.
Short only: Sell positions.
Both: Trade in both directions depending on conditions.
Breakout Conditions:
Long Trade:
The price closes above the upper Bollinger Band.
RSI is above the midline (50), confirming upward momentum.
The "Trade Direction" setting allows either "Long" or "Both."
Short Trade:
The price closes below the lower Bollinger Band.
RSI is below the midline (50), confirming downward momentum.
The "Trade Direction" setting allows either "Short" or "Both."
Risk Management:
Stop-Loss:
Long trades: Set at 2% below the entry price.
Short trades: Set at 2% above the entry price.
Take-Profit:
Calculated using a Risk/Reward Ratio (default is 2:1).
Adjust this in the strategy settings.
Inputs and Customization
Key Parameters:
Bollinger Bands Length: Default is 20. Adjust based on the desired sensitivity.
Multiplier: Default is 2.0. Higher values widen the bands; lower values narrow them.
RSI Length: Default is 14, which is standard for RSI.
Risk/Reward Ratio: Default is 2.0. Increase for more aggressive profit targets, decrease for conservative exits.
Trade Direction:
Options: "Long," "Short," or "Both."
Example: Set to "Long" in a bullish market to focus only on buy trades.
How to Use This Strategy
Adding the Strategy:
Paste the script into TradingView’s Pine Editor and add it to your chart.
Setting Parameters:
Adjust the Bollinger Band settings, RSI, and Risk/Reward Ratio to fit the asset and timeframe you're trading.
Analyzing Signals:
Green line (Upper Band): Signals breakout potential for long trades.
Red line (Lower Band): Signals breakout potential for short trades.
Blue line (Basis): Central Bollinger Band (SMA), helpful for understanding price trends.
Testing the Strategy:
Use the Strategy Tester in TradingView to backtest performance on your chosen asset and timeframe.
Optimizing for Assets:
Forex pairs, cryptocurrencies (like BTC), or stocks with high volatility are ideal for this strategy.
Works best on higher timeframes like 4H or Daily.
Best Practices
Combine with Volume: Confirm breakouts with increased volume for higher reliability.
Avoid Sideways Markets: Use additional trend filters (like ADX) to avoid trades in low-volatility conditions.
Optimize Parameters: Regularly adjust the Bollinger Bands multiplier and RSI settings to match the asset's behavior.
By utilizing this strategy, you can effectively trade breakouts while maintaining flexibility in trade direction. Adjust the parameters to match your trading style and market conditions for optimal results!
Trend AnalyzerThe Trend Analyzer is designed to help traders identify and analyze market trends. Here's a simple explanation of its logic:
Main Features
Customizable Moving Average: The indicator plots a moving average on the chart. Users can choose from various types (SMA, EMA, WMA, VWMA, HMA, SMMA, TMA) and set the period. This flexibility allows traders to adapt the indicator to different trading styles and timeframes.
Trend Detection: It determines whether the current price is above or below the moving average, providing a clear visual representation of the current trend direction.
Sequence Counter: The indicator counts consecutive candles above or below the moving average. This feature helps traders identify trend strength and persistence, which can be crucial for timing entries and exits.
Statistical Analysis: It calculates probabilities for the next candle's direction based on historical data. This unique feature gives traders a statistical edge in predicting short-term price movements.
Visual Candle Counter: An optional feature that displays the number of consecutive candles above or below the moving average directly on the chart, enhancing visual analysis.
How It Works
The indicator continuously tracks the position of price relative to the chosen moving average.
It maintains a count of how many candles in a row have been above or below the moving average.
For each sequence length, it records historical data on how often the trend continued or reversed in the past.
This historical data is used to calculate probabilities for the next candle's direction, providing a statistical insight into potential price movements.
The indicator displays this information directly on the chart, allowing for quick and easy interpretation.
Practical Applications
Trend Confirmation: Use the indicator to confirm the strength and direction of current trends.
Entry and Exit Signals: The sequence counter and probability calculations can help in timing trades more effectively.
Risk Management: Understanding the statistical likelihood of trend continuation can aid in setting appropriate stop-loss and take-profit levels.
Market Analysis: The indicator provides valuable insights into market behavior and can be used for both short-term and long-term analysis.
While the Trend Analyzer provides valuable insights based on historical data and statistical analysis, it's important to remember that past performance does not guarantee future results. The financial markets are complex and influenced by numerous factors. This indicator should be used as part of a comprehensive trading strategy and not as a sole decision-making tool. Always practice proper risk management and consider seeking advice from financial professionals before making investment decisions.
Sigma ScoreFunction and Purpose
The Sigma Score indicator is a tool for analyzing volatility and identifying unusual price movements of a financial instrument over a specified timeframe. It calculates the "Sigma Score," which measures how far the current price change deviates from its historical average in terms of standard deviations. This helps identify potential extremes and unusual market conditions.
Features
Timeframe Control
Users can select the desired timeframe for analysis (e.g., minutes, hours, days). This makes the indicator adaptable to various trading styles:
Supported timeframes: Minutes (M1, M5, M10, M15), Hours (H1, H4, H12), Days (D), Weeks (W), Months (M).
Sigma Score Calculation
The indicator computes the logarithmic return between consecutive price values.
It calculates a simple moving average (SMA) and the standard deviation (StDev) of these returns.
The Sigma Score is derived as the difference between the current return and the average, divided by the standard deviation.
Visual Representation
Sigma Score Plot: The Sigma Score is displayed as a line.
Horizontal Threshold Lines:
A middle line (0) for reference.
Upper and lower threshold lines (default: 2.0 and -2.0) for highlighting extremes.
Background Highlighting:
Green for values above the upper threshold (positive deviations).
Red for values below the lower threshold (negative deviations).
Custom Settings
Timeframe
Select the timeframe for analysis using a dropdown menu (default: D for daily).
Thresholds
Upper Threshold: Default = 2.0 (positive extreme area).
Lower Threshold: Default = -2.0 (negative extreme area).
Both values can be adjusted to modify the indicator's sensitivity.
Use Cases
Identifying Extremes: Values above or below the thresholds can signal unusual market conditions, such as overbought or oversold areas.
Analyzing Market Anomalies: The Sigma Score quantifies how unusual a price movement is based on historical data.
Visual Aid: Threshold lines and background highlighting simplify the interpretation of boundary conditions.
Notes and Limitations
Timeframe Dependency: Results may vary depending on the selected timeframe. Shorter timeframes highlight short-term movements, while longer timeframes capture broader trends.
Volatility Sensitivity: The indicator is sensitive to changes in market volatility. Sudden price swings may produce extreme Sigma values.
Summary
The Sigma Score indicator is a powerful tool for traders and analysts to quickly identify unusual market conditions and make informed decisions. Its flexibility in adjusting timeframes and thresholds makes it a versatile addition to any trading strategy.
DTS- Dynamic Trend SignalDynamic Trend Signal
The Dynamic Trend Signal indicator is a powerful and highly customizable tool designed for traders who want clear and actionable signals to guide their trading decisions. This indicator leverages the relationship between two moving averages and the current price to provide concise buy/sell recommendations while visually enhancing your chart with professional-grade features.
Key Features:
Actionable Trading Signals:
STRONG BUY / NO SELL: When the price is above both moving averages.
BUY / NO SELL: When the price is above the longer moving average but below the shorter moving average.
NO BUY / SELL: When the price is below the longer moving average but above the shorter moving average.
STRONG SELL / NO BUY: When the price is below both moving averages.
Dynamic Signal Table:
Displays real-time trading signals in a convenient table format.
Automatically updates based on market conditions.
Customizable table position (top-left, top-right, bottom-left, or bottom-right).
Dynamic background and text colors for improved visibility:
Green shades for bullish signals.
Red shades for bearish signals.
Customizable Moving Averages:
Configure each moving average independently:
Choose between Simple Moving Average (SMA) and Exponential Moving Average (EMA).
Set unique lengths, colors, and line thickness for each average.
Default settings:
MA1: Short-term (8-period) with thickness 1.
MA2: Long-term (20-period) with thickness 2.
Optional Crossover Alerts:
Visual and textual alerts for moving average crossovers:
BUY: When the shorter moving average crosses above the longer moving average.
SELL: When the shorter moving average crosses below the longer moving average.
Crossover alerts are disabled by default but can be easily enabled in settings.
Ease of Use:
Intuitive interface with clean and professional visuals.
Fully customizable to fit any trading strategy or chart style.
How It Helps Traders:
The Dynamic Trend Signal simplifies market analysis by removing guesswork and focusing on clear, data-driven signals. Whether you're a beginner looking for straightforward guidance or an experienced trader seeking to enhance your strategy, this indicator provides:
Confidence in decision-making with clear buy/sell signals.
Customization to align with your unique trading approach.
Clarity through visually appealing, color-coded signals and alerts.
Ideal For:
Swing Traders
Day Traders
Trend Followers
Traders looking to integrate a dynamic, rule-based approach to their analysis.
How to Use:
Add the Dynamic Trend Signal indicator to your chart.
Adjust the moving average lengths, types, colors, and thickness to suit your trading strategy.
Monitor the signal table for actionable recommendations.
Optionally enable crossover alerts for real-time buy/sell notifications.
Unlock the power of clear and actionable trading signals with the Dynamic Trend Signal! Add it to your TradingView chart today and take your trading strategy to the next level.
Coinbase Premium HeatmapCoinbase Premium Heatmap visualizes spot bitcoin premium (or discount) on Coinbase, relative to other spot markets, visualized as a heatmap overlay.
OPTIMIZED FOR CLARITY
Coinbase Premium can whipsaw quickly, with dramatic state changes over relatively brief periods, unnecessarily complicating its use (for our purposes).
To mitigate whipsaws, the script (a) averages premium/discount on an hourly basis, and (b) introduces lightweight exponential smoothing, to further simplify/clarify state.
WHY IT MATTERS
Spot Coinbase premium is a strong proxy for bullish institutional sentiment and net inflows/accumulation by western financial institutions, ETF providers, and corporations (like MicroStrategy) adding bitcoin to their treasury.
In aggregate, this holder cohort drives trend & sentiment more than any other, so it's important to know their directional bias.
HOW IT'S CALCULATED
Premium / discount calculates the spread between Coinbase spot BTC price, and spot price on Binance + Bybit. Calculation is averaged hourly, with light exponential smoothing.
HOW WE USE THE SCRIPT
When assessing optimal moments to hedge exposure (or sell spot assets) near a presumed impending cycle top, awareness of institutional sentiment is a crucial variable. This script:
(a) Filters out unnecessarily early cycle exit signals (if Coinbase premium is still present)
(b) Confirms other metrics that indicate an impending cycle top (if the neutral to bearish institutional sentiment we'd expect to see is in effect), and
(c) Visualizes state changes (from bearish to bullish & vice versa), that often make for good swing entries & exits on lower timeframes.
Dynamic RSI with Overbought/Oversold LinesDynamic RSI with Overbought/Oversold Lines
This indicator enhances the traditional RSI (Relative Strength Index) by dynamically adjusting the overbought and oversold levels based on the highest and lowest RSI values over a user-defined period. The indicator plots these levels as horizontal lines, allowing traders to visually identify when the market is "overbought" or "oversold."
Features:
Dynamic Overbought/Oversold Levels: Automatically adjusts the overbought and oversold levels based on the highest and lowest RSI values within the defined period, ensuring more accurate signals tailored to the current market conditions.
Customizable RSI Period: Choose your preferred RSI period to suit your trading strategy.
Signal Alerts: Visual signals are displayed when the RSI crosses into the overbought or oversold zone, indicating potential reversal points.
Background Color Alerts: The background changes color when the RSI exceeds overbought or oversold levels, making it easier to spot these important zones at a glance.
Clean and Simple: A minimalist design focusing on the key elements, making it suitable for all traders.
How to Use:
Overbought Zone: When the RSI moves above the overbought line (red), it may indicate that the asset is overbought, signaling a potential price reversal or pullback.
Oversold Zone: When the RSI moves below the oversold line (green), it may indicate that the asset is oversold, signaling a potential price bounce or reversal.
This dynamic RSI indicator is perfect for those looking to capture market extremes and improve their trading decisions. It's especially useful for timeframes like 30-minute and 1-hour charts, where market conditions tend to shift more rapidly.
Cabal Dev IndicatorThis is a TradingView Pine Script (version 6) that creates a technical analysis indicator called the "Cabal Dev Indicator." Here's what it does:
1. Core Functionality:
- It calculates a modified version of the Stochastic Momentum Index (SMI), which is a momentum indicator that shows where the current close is relative to the high/low range over a period
- The indicator combines elements of stochastic oscillator calculations with exponential moving averages (EMA)
2. Key Components:
- Uses configurable input parameters for:
- Percent K Length (default 15)
- Percent D Length (default 3)
- EMA Signal Length (default 15)
- Smoothing Period (default 5)
- Overbought level (default 40)
- Oversold level (default -40)
3. Calculation Method:
- Calculates the highest high and lowest low over the specified period
- Finds the difference between current close and the midpoint of the high-low range
- Applies EMA smoothing to both the range and relative differences
- Generates an SMI value and further smooths it using a simple moving average (SMA)
- Creates an EMA signal line based on the smoothed SMI
4. Visual Output:
- Plots the smoothed SMI line in green
- Plots an EMA signal line in red
- Shows overbought and oversold levels as gray horizontal lines
- Fills the areas above the overbought level with light red
- Fills the areas below the oversold level with light green
This indicator appears designed to help traders identify potential overbought and oversold conditions in the market, as well as momentum shifts, which could be used for trading decisions.
Would you like me to explain any specific part of the indicator in more detail?
MultiLayer Awesome Oscillator Saucer Strategy [Skyrexio]Overview
MultiLayer Awesome Oscillator Saucer Strategy leverages the combination of Awesome Oscillator (AO), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Awesome Oscillator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades.
Unique Features
No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs)
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one.
Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one.
Methodology
The strategy opens long trade when the following price met the conditions:
1. Price closed above EMA (by default, period = 100). Crossover is not obligatory.
2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph)
3. Awesome Oscillator shall create the "Saucer" long signal (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created "Saucer signal".
4. If price reaches the order price, long position is opened with 10% of capital.
5. If currently we have opened position and price creates and hit the order price of another one "Saucer" signal another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously.
6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened.
Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent.
Strategy settings
In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Let's go through all concepts used in this strategy to understand how they works together. Let's start from the easies one, the EMA. Let's briefly explain what is EMA. The Exponential Moving Average (EMA) is a type of moving average that gives more weight to recent prices, making it more responsive to current price changes compared to the Simple Moving Average (SMA). It is commonly used in technical analysis to identify trends and generate buy or sell signals. It can be calculated with the following steps:
1.Calculate the Smoothing Multiplier:
Multiplier = 2 / (n + 1), Where n is the number of periods.
2. EMA Calculation
EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier)
In this strategy uses EMA an initial long term trend filter. It allows to open long trades only if price close above EMA (by default 50 period). It increases the probability of taking long trades only in the direction of the trend.
Let's go to the next, short-term trend filter which consists of Alligator and Fractals. Let's briefly explain what do these indicators means. The Williams Alligator, developed by Bill Williams, is a technical indicator designed to spot trends and potential market reversals. It uses three smoothed moving averages, referred to as the jaw, teeth, and lips:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When these lines diverge and are properly aligned, the "alligator" is considered "awake," signaling a strong trend. Conversely, when the lines overlap or intertwine, the "alligator" is "asleep," indicating a range-bound or sideways market. This indicator assists traders in identifying when to act on or avoid trades.
The Williams Fractals, another tool introduced by Bill Williams, are used to pinpoint potential reversal points on a price chart. A fractal forms when there are at least five consecutive bars, with the middle bar displaying the highest high (for an up fractal) or the lowest low (for a down fractal), relative to the two bars on either side.
Key Points:
Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal.
Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal.
Traders often combine fractals with other indicators to confirm trends or reversals, improving the accuracy of trading decisions.
How we use their combination in this strategy? Let’s consider an uptrend example. A breakout above an up fractal can be interpreted as a bullish signal, indicating a high likelihood that an uptrend is beginning. Here's the reasoning: an up fractal represents a potential shift in market behavior. When the fractal forms, it reflects a pullback caused by traders selling, creating a temporary high. However, if the price manages to return to that fractal’s high and break through it, it suggests the market has "changed its mind" and a bullish trend is likely emerging.
The moment of the breakout marks the potential transition to an uptrend. It’s crucial to note that this breakout must occur above the Alligator's teeth line. If it happens below, the breakout isn’t valid, and the downtrend may still persist. The same logic applies inversely for down fractals in a downtrend scenario.
So, if last up fractal breakout was higher, than Alligator's teeth and it happened after last down fractal breakdown below teeth, algorithm considered current trend as an uptrend. During this uptrend long trades can be opened if signal was flashed. If during the uptrend price breaks down the down fractal below teeth line, strategy considered that uptrend is finished with the high probability and strategy closes all current long trades. This combination is used as a short term trend filter increasing the probability of opening profitable long trades in addition to EMA filter, described above.
Now let's talk about Awesome Oscillator's "Sauser" signals. Briefly explain what is the Awesome Oscillator. The Awesome Oscillator (AO), created by Bill Williams, is a momentum-based indicator that evaluates market momentum by comparing recent price activity to a broader historical context. It assists traders in identifying potential trend reversals and gauging trend strength.
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
Now we know what is AO, but what is the "Saucer" signal? This concept was introduced by Bill Williams, let's briefly explain it and how it's used by this strategy. Initially, this type of signal is a combination of the following AO bars: we need 3 bars in a row, the first one shall be higher than the second, the third bar also shall be higher, than second. All three bars shall be above the zero line of AO. The price bar, which corresponds to third "saucer's" bar is our signal bar. Strategy places buy stop order one tick above the price bar which corresponds to signal bar.
After that we can have the following scenarios.
Price hit the order on the next candle in this case strategy opened long with this price.
Price doesn't hit the order price, the next candle set lower low. If current AO bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AO bar become decreasing. In the second case buy order cancelled and strategy wait for the next "Saucer" signal.
If long trades has been opened strategy use all the next signals until number of trades doesn't exceed 5. All trades are closed when the trend changes to downtrend according to combination of Alligator and Fractals described above.
Why we use "Saucer" signals? If AO above the zero line there is a high probability that price now is in uptrend if we take into account our two trend filters. When we see the decreasing bars on AO and it's above zero it's likely can be considered as a pullback on the uptrend. When we see the stop of AO decreasing and the first increasing bar has been printed there is a high probability that this local pull back is finished and strategy open long trade in the likely direction of a main trend.
Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next saucer signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.11.25. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 10%
Maximum Single Position Loss: -5.10%
Maximum Single Profit: +22.80%
Net Profit: +2838.58 USDT (+28.39%)
Total Trades: 107 (42.99% win rate)
Profit Factor: 3.364
Maximum Accumulated Loss: 373.43 USDT (-2.98%)
Average Profit per Trade: 26.53 USDT (+2.40%)
Average Trade Duration: 78 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Futures Correlation VisualizerOVERVIEW
This indicator plots the normalized price changes of commonly traded futures. Visualizing data in this way makes studying and understanding market participation and sentiment easier.
Note:
Only 20 symbols can be plotted. The "request" functions are limited to 40 calls , 1 timeframe counts as a call, and 2 timeframes are used per symbol. Normalized values are derived by dividing the charts timeframe by 1D data. A runtime error will occur when more than 20 symbols are enabled. This limitation is unavoidable.
INPUTS
You can configure:
Colors and color scheme
Symbols to plot (most common futures)
Norm. source (todays open / yesterdays close)
Measurement type (%, ‱, Δ)
Label, zone, and zero options
Volatility and Tick Size DataThis indicator, titled "Tick Information & Standard Deviation Table," provides detailed insights into market microstructure, including tick size, point value, and standard deviation values calculated based on the True Range. It helps visualize essential trading parameters that influence transaction costs, risk management, and portfolio performance, including volatility measures that can guide investment strategies.
Why These Data Points Are Important for Portfolio Management
Tick Size and Point Value:
Tick size refers to the smallest possible price movement in a given asset. It defines the granularity of the price changes, affecting how precise the market price can be at any moment. Point value reflects the monetary value of a single price movement (one tick). These two data points are essential for understanding transaction costs and for evaluating how much capital is at risk per price movement. Smaller tick sizes may lead to more efficient pricing in high-frequency trading strategies (Hasbrouck, 2009).
Reference: Hasbrouck, J. (2009). Empirical Market Microstructure. Foundations and Trends® in Finance, 3(4), 169-272.
Standard Deviations and Volatility:
Standard deviation measures the variability or volatility of an asset's price over a set period. This data point is critical for portfolio management, as it helps to quantify risk and predict potential price movements. True Range and its standard deviations provide a more comprehensive measure of market volatility than just price fluctuations, as they include gaps and extreme price changes. Investors use volatility data to assess the potential risk and adjust portfolio allocations accordingly (Ang, 2006).
Reference: Ang, A. (2006). Asset Management: A Systematic Approach to Factor Investing. Oxford University Press.
Risk Management:
The ability to quantify risk through metrics like the 1st, 2nd, and 3rd standard deviations of the true range is essential for implementing risk controls within a portfolio. By incorporating volatility data, portfolio managers can adjust their strategies for different market conditions, potentially reducing exposure to high-risk environments. These volatility measures help in setting stop-loss levels, optimizing position sizes, and managing the portfolio’s overall risk-return profile (Black & Scholes, 1973).
Reference: Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities. Journal of Political Economy, 81(3), 637-654.
Portfolio Diversification and Hedging:
Understanding asset volatility and transaction costs is critical when constructing a diversified portfolio. By using the standard deviations from this indicator, investors can better identify assets that may provide diversification benefits, potentially reducing the overall portfolio risk. Moreover, the point values and tick sizes help assess the cost-effectiveness of various assets, enabling portfolio managers to implement more efficient hedging strategies (Markowitz, 1952).
Reference: Markowitz, H. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91.
Conclusion
The Tick Information & Standard Deviation Table provides critical market data that informs the risk management, diversification, and pricing strategies used in portfolio management. By incorporating tick size, point value, and volatility metrics, investors can make more informed decisions, better manage risk, and optimize the returns on their portfolios. The data serves as an essential tool for aligning asset selection and portfolio allocations with the investor's risk tolerance and market conditions.
ADM Indicator [CHE] Comprehensive Description of the Three Market Phases for TradingView
Introduction
Financial markets often exhibit patterns that reflect the collective behavior of participants. Recognizing these patterns can provide traders with valuable insights into potential future price movements. The ADM Indicator is designed to help traders identify and capitalize on these patterns by detecting three primary market phases:
1. Accumulation Phase
2. Manipulation Phase
3. Distribution Phase
This indicator places labels on the chart to signify these phases, aiding traders in making informed decisions. Below is an in-depth explanation of each phase, including how the ADM Indicator detects them.
1. Accumulation Phase
Definition
The Accumulation Phase is a period where informed investors or institutions discreetly purchase assets before a potential price increase. During this phase, the price typically moves within a confined range between established highs and lows.
Characteristics
- Price Range Bound: The asset's price stays within the previous high and low after a timeframe change.
- Low Volatility: Minimal price movement indicates a balance between buyers and sellers.
- Steady Volume: Trading volume may remain relatively constant or show slight increases.
- Market Sentiment: General market interest is low, as the accumulation is not yet apparent to the broader market.
Detection with ADM Indicator
- Criteria: An accumulation is detected when the price remains within the previous high and low after a timeframe change.
- Indicator Action: At the end of the period, if accumulation has occurred, the indicator places a label "Accumulation" on the chart.
- Visual Cues: A yellow semi-transparent background highlights the accumulation phase, enhancing visual recognition.
Implications for Traders
- Entry Opportunity: Consider preparing for potential long positions before a possible upward move.
- Risk Management: Use tight stop-loss orders below the support level due to the defined trading range.
2. Manipulation Phase
Definition
The Manipulation Phase, also known as the Shakeout Phase, occurs when dominant market players intentionally move the price to trigger stop-loss orders and create panic among less-informed traders. This action generates liquidity and better entry prices for large positions.
Characteristics
- False Breakouts: The price moves above the previous high or below the previous low but quickly reverses.
- Increased Volatility: Sharp price movements occur without fundamental reasons.
- Stop-Loss Hunting: The price targets common stop-loss areas, triggering them before reversing.
- Emotional Trading: Retail traders may react impulsively, leading to poor trading decisions.
Detection with ADM Indicator
- Manipulation Up:
- Criteria: Detected when the price rises above the previous high and then falls back below it.
- Indicator Action: Places a label "Manipulation Up" on the chart at the point of detection.
- Manipulation Down:
- Criteria: Detected when the price falls below the previous low and then rises back above it.
- Indicator Action: Places a label "Manipulation Down" on the chart at the point of detection.
- Visual Cues:
- Manipulation Up: Blue background highlights the phase.
- Manipulation Down: Orange background highlights the phase.
Implications for Traders
- Caution Advised: Be wary of false signals and avoid overreacting to sudden price changes.
- Preparation for Next Phase: Use this phase to anticipate potential distribution and adjust strategies accordingly.
3. Distribution Phase
Definition
The Distribution Phase occurs when the institutions or informed investors who accumulated positions start selling to the general market at higher prices. This phase often follows a Manipulation Phase and may signal an impending trend reversal.
Characteristics
- Price Reversal: The price moves in the opposite direction of the prior manipulation.
- High Trading Volume: Increased selling activity as large players offload positions.
- Trend Weakening: The previous trend loses momentum, indicating a potential shift.
- Market Sentiment Shift: Optimism fades, and uncertainty or pessimism may emerge.
Detection with ADM Indicator
- Distribution Up:
- Criteria: Detected after a verified Manipulation Up when the price subsequently falls below the previous low.
- Indicator Action: Places a label "Distribution Up" on the chart.
- Distribution Down:
- Criteria: Detected after a verified Manipulation Down when the price subsequently rises above the previous high.
- Indicator Action: Places a label "Distribution Down" on the chart.
- Visual Cues:
- Distribution Up: Purple background highlights the phase.
- Distribution Down: Maroon background highlights the phase.
Implications for Traders
- Exit Signals: Consider closing long positions if in a Distribution Up phase.
- Short Selling Opportunities: Potential to enter short positions anticipating a downtrend.
Using the ADM Indicator on TradingView
Indicator Overview
The ADM Indicator automates the detection of Accumulation, Manipulation, and Distribution phases by analyzing price movements relative to previous highs and lows on a selected timeframe. It provides visual cues and labels on the chart, helping traders quickly identify the current market phase.
Features
- Multi-Timeframe Analysis: Choose from auto, multiplier, or manual timeframe settings.
- Visual Labels: Clear labeling of market phases directly on the chart.
- Background Highlighting: Distinct background colors for each phase.
- Customizable Settings: Adjust colors, styles, and display options.
- Period Separators: Optional separators delineate different timeframes.
Interpreting the Indicator
1. Accumulation Phase
- Detection: Price stays within the previous high and low after a timeframe change.
- Label: "Accumulation" placed at the period's end if detected.
- Background: Yellow semi-transparent color.
- Action: Prepare for potential long positions.
2. Manipulation Phase
- Detection:
- Manipulation Up: Price rises above previous high and then falls back below.
- Manipulation Down: Price falls below previous low and then rises back above.
- Labels: "Manipulation Up" or "Manipulation Down" placed at detection.
- Background:
- Manipulation Up: Blue color.
- Manipulation Down: Orange color.
- Action: Exercise caution; avoid impulsive trades.
3. Distribution Phase
- Detection:
- Distribution Up: After a Manipulation Up, price falls below previous low.
- Distribution Down: After a Manipulation Down, price rises above previous high.
- Labels: "Distribution Up" or "Distribution Down" placed at detection.
- Background:
- Distribution Up: Purple color.
- Distribution Down: Maroon color.
- Action: Consider exiting positions or entering counter-trend trades.
Configuring the Indicator
- Timeframe Type: Select Auto, Multiplier, or Manual for analysis timeframe.
- Multiplier: Set a custom multiplier when using "Multiplier" type.
- Manual Resolution: Define a specific timeframe with "Manual" option.
- Separator Settings: Customize period separators for visual clarity.
- Label Display Options: Choose to display all labels or only the most recent.
- Visualization Settings: Adjust colors and styles for personal preference.
Practical Tips
- Combine with Other Analysis Tools: Use alongside volume indicators, trend lines, or other technical tools.
- Backtesting: Review historical data to understand how the indicator signals would have impacted past trades.
- Stay Informed: Keep abreast of market news that might affect price movements beyond technical analysis.
- Risk Management: Always employ stop-loss orders and position sizing strategies.
Conclusion
The ADM Indicator is a valuable tool for traders seeking to understand and leverage market phases. By detecting Accumulation, Manipulation, and Distribution phases through specific price action criteria, it provides actionable insights into market dynamics.
Understanding the precise conditions under which each phase is detected empowers traders to make more informed decisions. Whether preparing for potential breakouts during accumulation, exercising caution during manipulation, or adjusting positions during distribution, the ADM Indicator aids in navigating the complexities of the financial markets.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work.
Best regards Chervolino
Overview of the Timeframe Levels in the `autotimeframe()` Function
The `autotimeframe()` function automatically adjusts the higher timeframe based on the current chart timeframe. Here are the specific timeframe levels used in the function:
- Current Timeframe ≤ 1 Minute
→ Higher Timeframe: 240 Minutes (4 Hours)
- Current Timeframe ≤ 5 Minutes
→ Higher Timeframe: 1 Day
- Current Timeframe ≤ 1 Hour
→ Higher Timeframe: 3 Days
- Current Timeframe ≤ 4 Hours
→ Higher Timeframe: 7 Days
- Current Timeframe ≤ 12 Hours
→ Higher Timeframe: 1 Month
- Current Timeframe ≤ 1 Day
→ Higher Timeframe: 3 Months
- Current Timeframe ≤ 7 Days
→ Higher Timeframe: 6 Months
- For All Higher Timeframes (over 7 Days)
→ Higher Timeframe: 12 Months
Summary:
The function assigns a corresponding higher timeframe based on the current timeframe to optimize the analysis:
- 1 Minute or Less → 4 Hours
- Up to 5 Minutes → 1 Day
- Up to 1 Hour → 3 Days
- Up to 4 Hours → 7 Days
- Up to 12 Hours → 1 Month
- Up to 1 Day → 3 Months
- Up to 7 Days → 6 Months
- Over 7 Days → 12 Months
This automated adjustment ensures that the indicator works effectively across different chart timeframes without requiring manual changes.
Harmonic Pattern Detector (75 patterns)Harmonic Pattern Detector offers a record amount of "Harmonic Patterns" in one script, with 75 different patterns detected, together with up to 99 different swing lengths.
🔶 USAGE
Harmonic Patterns are detected from several different ZigZag lines, derived from Swings with different lengths (shorter - longer term)
Depending on the settings ' Minimum/Maximum Swing Length ', the user will see more or less patterns from shorter and/or longer-term swing points.
🔹 Fibonacci Ratio
Certain patterns have only one ratio for a specific retrace/extension instead of one upper and one lower limit. In this case, we add a ' Tolerance ', which adds a percentage tolerance below/above the ratio, creating two limits.
A higher number may show more patterns but may become less valid.
Hoovering over points B, C, and D will show a tooltip with the concerning limits; adjusted limits will be seen if applicable.
Tooltips in settings will also show which patterns the Fibonacci Ratio applies to.
🔹 Triangle Area Ratio
Using Heron's formula , the triangle area is calculated after the X-Y axis is normalized.
Users can filter patterns based on the ratio of the smallest triangle to the largest triangle.
A lower Triangle Area Ratio number leads to more symmetrical patterns but may appear less frequently.
🔶 DETAILS
Harmonic patterns are based on geometric patterns, where the retracement/extension of a swing point must be located between specific Fibonacci ratios of the previous swing/leg. Different Harmonic Patterns require unique ratios to become valid patterns.
In the above example there is a valid 'Max Butterfly' pattern where:
Point B is located between 0.618 - 0.886 retracement level of the X-A leg
Point C is located between 0.382 - 0.886 retracement level of the A-B leg
Point D is located between 1.272 - 2.618 extension level of the B-C leg
Point D is located between 1.272 - 1.618 extension level of the X-A leg
Harmonic Pattern Detector uses ZigZag lines, where swing highs and swing lows alternate. Each ZigZag line is checked for valid Harmonic Patterns . When multiple types of Harmonic Patterns are valid for the same sequence, the pattern will be named after the first one found.
Different swing lengths form different ZigZag lines.
By evaluating different ZigZag lines (up to 99!), shorter—and longer-term patterns can be drawn on the same chart.
🔹 Blocks
The patterns are organized into blocks that can be toggled on or off with a single click.
When a block is enabled, the user can still select which specific patterns within that block are enabled or disabled.
🔹 Visuals
Besides color settings, labels can show pattern names or arrows at point D of the pattern.
Note this will happen 1 bar after validation because one extra bar is needed for confirmation.
An option is included to show only arrows without the patterns.
🔹 Updated Patterns
When a Swing Low is followed by a lower low or a Swing High followed by a higher high , triggering a pattern identical to a previous one except with a different point D, the pattern will be updated. The previous C-D line will be visible as a dashed line to highlight the event. Only the last dashed line is shown when this happens more than once.
🔹 Optimization
The script only verifies the last leg in the initial phase, significantly reducing the time spent on pattern validation. If this leg doesn't align with a potential Harmonic Pattern , the pattern is immediately disregarded. In the subsequent phase, the remaining patterns are quickly scrutinized to ensure the next leg is valid. This efficient process continues, with only valid patterns progressing to the next phase until all sequences have been thoroughly examined.
This process can check up to 99 ZigZag lines for 75 different Harmonic Patterns , showcasing its high capacity and versatility.
🔹 Ratios
The following table shows the different ratios used for each Harmonic Pattern .
' min ' and ' max ' are used when only one limit is provided instead of 2. This limit is given a percentage tolerance above and below, customizable by the setting ' Tolerance - Fibonacci Ratio '.
For example a ratio of 0.618 with a tolerance of 1% would result in:
an upper limit of 0.624
a lower limit of 0.612
|-------------------|------------------------|------------------------|-----------------------|-----------------------|
| NAME PATTERN | BCD (BD) | ABC (AC) | XAB (XB) | XAD (XD) |
| | min max | min max | min max | min max |
|-------------------|------------------------|------------------------|-----------------------|-----------------------|
| 'ABCD' | 1.272 - 1.618 | 0.618 - 0.786 | | |
| '5-0' | 0.5 *min - 0.5 *max | 1.618 - 2.24 | 1.13 - 1.618 | |
| 'Max Gartley' | 1.128 - 2.236 | 0.382 - 0.886 | 0.382 - 0.618 | 0.618 - 0.786 |
| 'Gartley' | 1.272 - 1.618 | 0.382 - 0.886 | 0.618*min - 0.618*max | 0.786*min - 0.786*max |
| 'A Gartley' | 1.618*min - 1.618*max | 1.128 - 2.618 | 0.618 - 0.786 | 1.272*min - 1.272*max |
| 'NN Gartley' | 1.128 - 1.618 | 0.382 - 0.886 | 0.618*min - 0.618*max | 0.786*min - 0.786*max |
| 'NN A Gartley' | 1.618*min - 1.618*max | 1.128 - 2.618 | 0.618 - 0.786 | 1.272*min - 1.272*max |
| 'Bat' | 1.618 - 2.618 | 0.382 - 0.886 | 0.382 - 0.5 | 0.886*min - 0.886*max |
| 'Alt Bat' | 2.0 - 3.618 | 0.382 - 0.886 | 0.382*min - 0.382*max | 1.128*min - 1.128*max |
| 'A Bat' | 2.0 - 2.618 | 1.128 - 2.618 | 0.382 - 0.618 | 1.128*min - 1.128*max |
| 'Max Bat' | 1.272 - 2.618 | 0.382 - 0.886 | 0.382 - 0.618 | 0.886*min - 0.886*max |
| 'NN Bat' | 1.618 - 2.618 | 0.382 - 0.886 | 0.382 - 0.5 | 0.886*min - 0.886*max |
| 'NN Alt Bat' | 2.0 - 4.236 | 0.382 - 0.886 | 0.382*min - 0.382*max | 1.128*min - 1.128*max |
| 'NN A Bat' | 2.0 - 2.618 | 1.128 - 2.618 | 0.382 - 0.618 | 1.128*min - 1.128*max |
| 'NN A Alt Bat' | 2.618*min - 2.618*max | 1.128 - 2.618 | 0.236 - 0.5 | 0.886*min - 0.886*max |
| 'Butterfly' | 1.618 - 2.618 | 0.382 - 0.886 | 0.786*min - 0.786*max | 1.272 - 1.618 |
| 'Max Butterfly' | 1.272 - 2.618 | 0.382 - 0.886 | 0.618 - 0.886 | 1.272 - 1.618 |
| 'Butterfly 113' | 1.128 - 1.618 | 0.618 - 1.0 | 0.786 - 1.0 | 1.128*min - 1.128*max |
| 'A Butterfly' | 1.272*min - 1.272*max | 1.128 - 2.618 | 0.382 - 0.618 | 0.618 - 0.786 |
| 'Crab' | 2.24 - 3.618 | 0.382 - 0.886 | 0.382 - 0.618 | 1.618*min - 1.618*max |
| 'Deep Crab' | 2.618 - 3.618 | 0.382 - 0.886 | 0.886*min - 0.886*max | 1.618*min - 1.618*max |
| 'A Crab' | 1.618 - 2.618 | 1.128 - 2.618 | 0.276 - 0.446 | 0.618*min - 0.618*max |
| 'NN Crab' | 2.236 - 4.236 | 0.382 - 0.886 | 0.382 - 0.618 | 1.618*min - 1.618*max |
| 'NN Deep Crab' | 2.618 - 4.236 | 0.382 - 0.886 | 0.886*min - 0.886*max | 1.618*min - 1.618*max |
| 'NN A Crab' | 1.128 - 2.618 | 1.128 - 2.618 | 0.236 - 0.447 | 0.618*min - 0.618*max |
| 'NN A Deep Crab' | 1.128*min - 1.128*max | 1.128 - 2.618 | 0.236 - 0.382 | 0.618*min - 0.618*max |
| 'Cypher' | 1.272 - 2.00 | 1.13 - 1.414 | 0.382 - 0.618 | 0.786*min - 0.786*max |
| 'New Cypher' | 1.272 - 2.00 | 1.414 - 2.14 | 0.382 - 0.618 | 0.786*min - 0.786*max |
| 'Anti New Cypher' | 1.618 - 2.618 | 0.467 - 0.707 | 0.5 - 0.786 | 1.272*min - 1.272*max |
| 'Shark 1' | 1.618 - 2.236 | 1.128 - 1.618 | 0.382 - 0.618 | 0.886*min - 0.886*max |
| 'Shark 1 Alt' | 1.618 - 2.618 | 0.618 - 0.886 | 0.446 - 0.618 | 1.128*min - 1.128*max |
| 'Shark 2' | 1.618 - 2.236 | 1.128 - 1.618 | 0.382 - 0.618 | 1.128*min - 1.128*max |
| 'Shark 2 Alt' | 1.618 - 2.618 | 0.618 - 0.886 | 0.446 - 0.618 | 0.886*min - 0.886*max |
| 'Leonardo' | 1.128 - 2.618 | 0.382 - 0.886 | 0.5*min - 0.5*max | 0.786*min - 0.786*max |
| 'NN A Leonardo' | 2.0*min - 2.0*max | 1.128 - 2.618 | 0.382 - 0.886 | 1.272*min - 1.272*max |
| 'Nen Star' | 1.272 - 2.0 | 1.414 - 2.14 | 0.382 - 0.618 | 1.272*min - 1.272*max |
| 'Anti Nen Star' | 1.618 - 2.618 | 0.467 - 0.707 | 0.5 - 0.786 | 0.786*min - 0.786*max |
| '3 Drives' | 1.272 - 1.618 | 0.618 - 0.786 | 1.272 - 1.618 | 1.618 - 2.618 |
| 'A 3 Drives' | 0.618 - 0.786 | 1.272 - 1.618 | 0.618 - 0.786 | 0.13 - 0.886 |
| '121' | 0.382 - 0.786 | 1.128 - 3.618 | 0.5 - 0.786 | 0.382 - 0.786 |
| 'A 121' | 1.272 - 2.0 | 0.5 - 0.786 | 1.272 - 2.0 | 1.272 - 2.618 |
| '121 BG' | 0.618 - 0.707 | 1.128 - 1.733 | 0.5 - 0.577 | 0.447 - 0.786 |
| 'Black Swan' | 1.128 - 2.0 | 0.236 - 0.5 | 1.382 - 2.618 | 1.128 - 2.618 |
| 'White Swan' | 0.5 - 0.886 | 2.0 - 4.237 | 0.382 - 0.786 | 0.238 - 0.886 |
| 'NN White Swan' | 0.5 - 0.886 | 2.0 - 4.236 | 0.382 - 0.724 | 0.382 - 0.886 |
| 'Sea Pony' | 1.618 - 2.618 | 0.382 - 0.5 | 0.128 - 3.618 | 0.618 - 3.618 |
| 'Navarro 200' | 0.886 - 3.618 | 0.886 - 1.128 | 0.382 - 0.786 | 0.886 - 1.128 |
| 'May-00' | 0.5 - 0.618 | 1.618 - 2.236 | 1.128 - 1.618 | 0.5 - 0.618 |
| 'SNORM' | 0.9 - 1.1 | 0.9 - 1.1 | 0.9 - 1.1 | 0.618 - 1.618 |
| 'COL Poruchik' | 1.0 *min - 1.0 *max | 0.382 - 2.618 | 0.128 - 3.618 | 0.618 - 3.618 |
| 'Henry – David' | 0.618 - 0.886 | 0.44 - 0.618 | 0.128 - 2.0 | 0.618 - 1.618 |
| 'DAVID VM 1' | 1.618 - 1.618 | 0.382*min - 0.382*max | 0.128 - 1.618 | 0.618 - 3.618 |
| 'DAVID VM 2' | 1.618 - 1.618 | 0.382*min - 0.382*max | 1.618 - 3.618 | 0.618 - 7.618 |
| 'Partizan' | 1.618*min - 1.618*max | 0.382*min - 0.382*max | 0.128 - 3.618 | 0.618 - 3.618 |
| 'Partizan 2' | 1.618 - 2.236 | 1.128 - 1.618 | 0.128 - 3.618 | 1.618 - 3.618 |
| 'Partizan 2.1' | 1.618*min - 1.618*max | 1.128*min - 1.128*max | 0.128 - 3.618 | 0.618 - 3.618 |
| 'Partizan 2.2' | 2.236*min - 2.236*max | 1.128*min - 1.128*max | 0.128 - 3.618 | 0.618 - 3.618 |
| 'Partizan 2.3' | 1.618*min - 1.618*max | 0.618 - 1.618 | 0.128 - 3.618 | 0.618 - 3.618 |
| 'Partizan 2.4' | 2.236*min - 2.236*max | 1.618*min - 1.618*max | 0.128 - 3.618 | 0.618 - 3.618 |
| 'TOTAL' | 1.272 - 3.618 | 0.382 - 2.618 | 0.276 - 0.786 | 0.618 - 1.618 |
| 'TOTAL NN' | 1.272 - 4.236 | 0.382 - 2.618 | 0.236 - 0.786 | 0.618 - 1.618 |
| 'TOTAL 1' | 1.272 - 2.618 | 0.382 - 0.886 | 0.382 - 0.786 | 0.786 - 0.886 |
| 'TOTAL 2' | 1.618 - 3.618 | 0.382 - 0.886 | 0.382 - 0.786 | 1.128 - 1.618 |
| 'TOTNN 2NN' | 1.618 - 4.236 | 0.382 - 0.886 | 0.382 - 0.786 | 1.128 - 1.618 |
| 'TOTAL 3' | 1.272 - 2.618 | 1.128 - 2.618 | 0.276 - 0.618 | 0.618 - 0.886 |
| 'TOTNN 3NN' | 1.272 - 2.618 | 1.128 - 2.618 | 0.236 - 0.618 | 0.618 - 0.886 |
| 'TOTAL 4' | 1.618 - 2.618 | 1.128 - 2.618 | 0.382 - 0.786 | 1.128 - 1.272 |
| 'BG 1' | 2.618*min - 2.618*max | 0.382*min - 0.382*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
| 'BG 2' | 2.237*min - 2.237*max | 0.447*min - 0.447*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
| 'BG 3' | 2.0 *min - 2.0 *max | 0.5 *min - 0.5 *max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
| 'BG 4' | 1.618*min - 1.618*max | 0.618*min - 0.618*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
| 'BG 5' | 1.414*min - 1.414*max | 0.707*min - 0.707*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
| 'BG 6' | 1.272*min - 1.272*max | 0.786*min - 0.786*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
| 'BG 7' | 1.171*min - 1.171*max | 0.854*min - 0.854*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
| 'BG 8' | 1.128*min - 1.128*max | 0.886*min - 0.886*max | 0.128 - 0.886 | 1.0 *min - 1.0 *max |
|-------------------|------------------------|------------------------|-----------------------|-----------------------|
🔶 SETTINGS
🔹 Swings
Minimum Swing Length: Minimum length used for the swing detection.
Maximum Swing Length: Maximum length used for the swing detection.
🔹 Patterns
Toggle Pattern Block
Toggle separate pattern in each Pattern Block
🔹 Tolerance
Fibonacci Ratio: Adds a percentage tolerance below/above the ratio when only one ratio applies, creating two limits.
Triangle Area Ratio: Filters patterns based on the ratio of the smallest triangle to the largest triangle.
🔹 Display
Labels: Display Pattern Names, Arrows or nothing
Patterns: Display or not
Last Line: Display previous C-D line when updated
🔹 Style
Colors: Pattern Lines/Names/Arrows - background color of patterns
Text Size: Text Size of Pattern Names/Arrows
🔹 Calculation
Calculated Bars: Allows the usage of fewer bars for performance/speed improvement
Volume Index (0-100)Volume Index (0-100) Indicator
The Volume Index (0-100) indicator is a powerful tool designed to help traders understand current volume levels in relation to past activity over a specified period. By normalizing volume data to a scale from 0 to 100, this indicator makes it easy to compare today's volume against recent history and gauge the strength of market movements.
Key Features:
Normalized Volume Index: The indicator indexes volume between 0 and 100, allowing traders to easily determine if the current volume is unusually high or low compared to recent trends.
Colored Visualization: The line graph is colored green for positive volume (increasing activity) and red for negative volume (decreasing activity). This helps traders quickly grasp the market sentiment and volume direction.
User-Defined Lookback Period: Traders can customize the lookback period to best fit their trading strategy, providing flexibility for different market conditions.
How Traders Can Use It:
Identifying Volume Extremes: The Volume Index helps identify periods of unusually high or low volume. Values approaching 100 indicate high volume, while values close to 0 indicate low volume.
Confirmation Tool: During price movements, high volume (near 100) can act as a confirmation signal for the strength of the trend. For instance, a high volume during an uptrend may indicate strong buying interest.
Divergence Analysis: Traders can look for divergences between volume and price. For example, if the price is consolidating while the Volume Index remains high, it could signal an impending breakout.
Volume Alerts: The indicator includes an alert feature when the Volume Index exceeds 80, helping traders stay informed about potential shifts in market volatility.
Support, Resistance, MA, and ADXSummary
This comprehensive script provides traders with a tool that highlights critical levels of support and resistance, detects significant price breakouts with volume confirmation, identifies potential reversals with wick analysis, and plots a moving average that changes color based on trend strength as indicated by the ADX. It is useful for spotting entry and exit points, confirming breakouts, and identifying trend direction and strength.
[w3ss1] TimewindowsYou can use this if you want some subtle indication of a specific timewindow on the chart.
You can use it to see the macrowindows, or set the time of a session or any timewindow you want.
You can choose the color and plot it on the bottom or the top of the chart.
Confirmación de short n0Confirmación de cruce bajista en MACD en el marco de 15m.
RSI moviéndose hacia 50 en los marcos de 15m y 1h.
Volumen creciente en velas rojas como confirmación de presión vendedora.
[w3ss1] Colored candlesA simple script that colors the candles in a color of choise on specific times of choice.
You can use it if you want to color like Asia session, or if you want to focus on specific times of day.
This keeps the chart clean, it just colors the candles in the choosen timings.
Ultra Market StructureThe Ultra Market Structure indicator detects key market structure breaks, such as Break of Structure (BoS) and Change of Character (CHoCH), to help identify trend reversals. It plots lines and labels on the chart to visualize these breakpoints with alerts for important signals.
Introduction
This script is designed to help traders visualize important market structure events, such as trend breaks and reversals, using concepts like Break of Structure (BoS) and Change of Character (CHoCH). The indicator highlights internal and external price levels where the market shifts direction. It offers clear visual signals and alerts to keep traders informed of potential changes in the market trend.
Detailed Description
The indicator focuses on detecting "market structure breaks," which occur when the price moves past significant support or resistance levels, suggesting a potential reversal or continuation of the trend.
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Type of structure
Internal Structure: Focuses on smaller, shorter-term price levels within the current market trend.
External Structure: Focuses on larger, longer-term price levels that may indicate more significant shifts in the market.
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Key events
Break of Structure (BoS): A market structure break where the price surpasses a previous high (bullish BoS) or low (bearish BoS).
Change of Character (CHoCH): A shift in market behavior when the price fails to continue in the same direction, indicating a possible trend reversal.
Once a break or shift is detected, the script plots lines and labels on the chart to visually mark the breakpoints.
It also provides alerts when a BoS or CHoCH occurs, keeping traders informed in real-time.
The indicator can color the background and candles based on the market structure, making it easy to identify the current trend.
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Special feature
At news events or other momentum pushes most structure indicators will go into "sleep mode" because of too far away structure highs/lows. This indicator has a structure reset feature to solve this issue.
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Detects Break of Structure (BoS) and Change of Character (CHoCH) signals.
Marks internal and external support/resistance levels where market trends change.
Provides visual cues (lines, labels) and real-time alerts for structure breaks.
Offers background and candle color customization to highlight market direction.
True Total Altcoin Market CapThis indicator calculates the real total altcoin market capitalization by removing Bitcoin, Ethereum, and major stablecoins (USDT, USDC, BUSD, DAI) from the total cryptocurrency market cap. It replaces the standard price bars with custom-colored candlesticks showing the true altcoin market movements.
Features:
Excludes BTC, ETH, and major stablecoins for accurate altcoin market analysis
Custom color scheme: Green (#26a79b) for bullish and Red (#ef5351) for bearish candles
Based on CRYPTOCAP:TOTAL data
Helps traders focus on pure altcoin market trends
Non-repainting, using standard OHLC data
This tool provides a clearer view of altcoin market strength by filtering out the influence of major cryptocurrencies and stablecoins.
