3X RSIRelative Strength Index (RSI) trading is a technical analysis method that uses a momentum oscillator to help traders identify when a security is overbought or oversold:
The RSI measures the speed and size of price changes over a set period of time, and produces a value between 0 and 100. A reading above 70 indicates that prices may be overbought, while a reading below 30 indicates that prices may be oversold. A reading of 50 indicates a neutral level.
Volatilidade
TOTAL3 Domination by amig0dieg0We buy when the indicator exits the green zone.
In the red zone, we’re more likely to sell, but that’s not certain
BTC Dominance by amig0dieg0 I'll be straightforward: this is my attempt to guess the popular BTC Dominance indicator.
It's simple: sell on red, buy on green, within the context of larger timeframes.
SMA y HMA PersonalizablesEste indicador puede ser útil para observar cómo se comportan diferentes tipos de medios móviles (SMA y HMA) con distintos períodos en un gráfico de precios. Las SMA son buenas para ver tendencias a largo plazo, mientras que la HMA es conocida por su capacidad para reducir el retraso.
Heikin-Ashi Decision Helper Heikin-Ashi Decision Helper
The Heikin-Ashi Decision Helper is an advanced indicator designed to help traders identify key market signals based on Heikin-Ashi candles. This tool evaluates market conditions over an extended period and generates Buy, Sell, and Hold labels for each candle, providing clear visual guidance on the market's current trend.
Key Features:
Signal Generation: Automatically generates Buy (B), Sell (S), and Hold (H) signals based on market behavior, with labels plotted above the candle wicks for easy visibility.
Extended Period: Evaluates signals over a defined lookback period, giving traders a more persistent view of the market's direction.
Dynamic Label Positioning: Labels are positioned above the candle wicks for optimal visibility, even when zooming in or out on the chart.
Customizable Settings: Adjust the lookback period to tailor the indicator to your trading style and market conditions.
Chart Clarity: A clean and straightforward design that doesn’t clutter the chart, with signals displayed only when relevant.
Ideal For:
Traders looking for clear visual cues to guide their Buy and Sell decisions based on Heikin-Ashi candles.
Those who prefer a dynamic indicator that adapts to changing market conditions over time.
Users who want to track both short-term and long-term trends with a single, easy-to-use tool.
Relative Strength Index 30 45 55 70 levelsi use this indicator to confirm my trades , u can change the settings and use it as u perefer , the diffrence between the main rsi and this is just added 45 and 55 levels , nothing else good luck
Gelişmiş Likidite HaritasıFinansal piyasalarda, fiyat hareketlerinin ve likiditenin dinamiklerini anlamak, doğru işlem kararları almak için oldukça önemlidir. Bu makalede, likidite bölgelerini, hacim eşiklerini ve yüksek hacimli mumları belirleyerek piyasa hareketlerini daha iyi analiz etmenizi sağlayacak Gelişmiş Likidite Haritası İndikatörünü tanıtıyoruz.
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İndikatörün Özellikleri
1. Likidite Analizi:
Kısa, Orta ve Uzun Dönem Periyotlarına göre likidite değişimlerini hesaplar.
Fiyat hareketi eşiği (% olarak belirlenir) ve hacim eşikleri dikkate alınarak, piyasanın likidite seviyelerini belirler.
Belirlenen seviyeleri grafik üzerinde mavi (kısa dönem), sarı (orta dönem) ve kırmızı (uzun dönem) çizgilerle işaretler.
2. Hacim Analizi:
Hareketli ortalama (SMA) baz alınarak, yüksek hacimli mumları farklı renklerde gösterir:
Beyaz: En yüksek hacimli mum.
Sarı: Orta yüksek hacimli mum.
Mavi: Düşük yüksek hacimli mum.
Hacim değişimlerini görselleştirmek için bar renklerini otomatik olarak renklendirir.
3. Dinamik Görselleştirme:
Grafik üzerinde yüksek hacimli mumları üçgen ikonlarla işaretler.
Kullanıcı tanımlı parametrelerle özelleştirilebilir.
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Parametreler ve Kullanım
Likidite Eşiği (%): Belirli bir yüzde üzerinde fiyat değişimlerini tespit etmek için kullanılır.
Hacim Eşiği: Likidite hesaplamalarında dikkate alınacak minimum hacim değeri.
Hacim SMA Periyodu: Ortalama hacim hesaplaması için kullanılan periyot.
Yüksek Hacim Eşik Değerleri: Hacim analizinde kullanılan katmanlar.
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Kod Açıklaması
İndikatör, TradingView’in Pine Script 6.0 sürümünde yazılmıştır. İşlevsellik açısından hem fiyat hareketlerini hem de hacim seviyelerini analiz eder.
Fiyat Hareketi Hesaplaması:
Kısa, orta ve uzun vadeli fiyat hareketlerini hesaplar ve likidite eşiğini aşan fiyat değişimlerini işaretler.
Hacim Renklendirme:
Ortalama hacmin katlarına göre barlar otomatik olarak renklendirilir. Bu, yatırımcıların piyasa hareketlerini hızlı bir şekilde görselleştirmesini sağlar.
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Kodun Avantajları
1. Kapsamlı Analiz: Hem likidite hem de hacmi bir araya getirerek daha kapsamlı bir analiz sağlar.
2. Kolay Kullanım: Kullanıcı dostu parametreler ile her düzeyde yatırımcı için uygundur.
3. Görsel Zenginlik: Grafik üzerinde belirgin renklendirmeler ve işaretlemeler sunar.
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Sonuç
Bu indikatör, piyasadaki likidite tuzaklarını tespit etmek, hacim hareketlerini analiz etmek ve yatırım kararlarını desteklemek için güçlü bir araçtır. Hem kısa vadeli hem de uzun vadeli yatırımcılar için uygun olan bu araç, piyasa dinamiklerini anlamanızı kolaylaştırır.
Opening-Closing Price MovementsEasy to find times where price moved more then a minimum amount up or down!
ZERE Majors System [FahimK3]ZERE Majors System
This system introduces an innovative approach to crypto portfolio management through a dynamic matrix-based rotation methodology. At its core, the system utilizes a proprietary scoring matrix that directly compares the relative strength between BTC, ETH, and SOL, creating a more nuanced understanding of asset relationships than traditional indicators alone could provide.
The fundamental innovation lies in how the system evaluates cryptocurrencies. Rather than analyzing each asset independently, it employs a comprehensive matrix where each asset is scored against others through direct pair-wise comparisons. This creates a network of relationships that reveals underlying strength patterns that might be missed by conventional analysis methods. The scoring process incorporates both momentum and relative performance metrics, ensuring that capital is allocated to the truly strongest asset rather than just the one showing temporary strength.
While the exact scoring calculations remain proprietary, the system's framework combines relative strength principles with adaptive thresholds that automatically adjust to changing market conditions. This differs from standard relative strength approaches by considering the complete web of relationships between assets rather than isolated comparisons.
The regime filter serves as a secondary confirmation layer, using volatility and momentum metrics to validate the primary matrix signals. When market conditions become unfavorable, the system automatically moves to cash, providing an additional layer of capital protection.
Performance tracking includes comprehensive metrics comparing the rotation strategy against a standard buy-and-hold approach. The visual interface displays the scoring matrix, current positions, and equity curves, allowing traders to understand position rationale in real-time.
Recommended Usage:
- Timeframe: Daily chart
- Starting Capital: Customizable for portfolio size
- Scoring Method: Choice between UNI.v2 and UNI.v3
Note: While this system incorporates some standard technical elements, its value lies in the unique matrix-based rotation methodology that provides a more complete picture of relative strength than traditional indicators used in isolation.
5 STAGE '' ATR '' BUY-SELL STRATEGY--Colorful, interchangeable ATR stages
--Mark the levels opened on the chart immediately. When the price reaches your levels, exit the position according to your system or follow the price.
Bollinger Bubble BreakoutThe Bollinger Bubble Breakout (BBB) indicator is a tool for analyzing price movements using Bollinger Bands combined with additional moving averages. It is based on the idea, known as the "Bollinger Bubble Theory," that when a candle closes outside the Bollinger Bands, the price often returns quickly to the 7-period Exponential Moving Average (EMA).
Bollinger Bands are made up of a middle line, which is typically a moving average, and two outer bands that represent standard deviations from this line. These bands help identify when the price is overbought or oversold. The BBB indicator builds on this by adding customizable options for the middle line, allowing the user to choose between different types of moving averages, such as SMA or EMA.
The indicator provides visual signals when the price moves outside the bands. A buy signal appears when the price closes below the lower band, and a sell signal appears when it closes above the upper band. These signals are marked directly on the chart for clarity.
The BBB indicator also includes options to display a 7-period EMA and a 200-period SMA. The EMA shows the short-term reversion level, while the SMA helps identify the overall trend. This combination of tools makes the BBB indicator useful for spotting price reversals and understanding the market's trend context.
This indicator is easy to use and helps traders identify opportunities when price action becomes extreme. It is particularly helpful for those who look for mean reversion setups or want to combine short-term signals with long-term trend analysis.
Adaptive VWAP Bands with Garman Klass VolatilityThis strategy utilizes the volume weighted average price, adjusted by volatility. Standard deviation bands are applied to the MA, if price closes above 1STD this indicates a bullish trend and the strategy goes long. If a close below 1STD the long is closed.
The standard deviation bands are adjusted by volatility using the Garman-Klass volatility formula: portfolioslab.com
The assumption is the more volatile an asset the less price is being accepted in a certain price range and thus the threshold to go long or close a long increases. In the inverse, the less volatile an asset is the more it's being accepted, then the threshold for a bullish breakout is lowered.
EGARCH Volatility Estimator
EGARCH Volatility Estimator (EVE)
Overview:
The EGARCH Volatility Estimator (EVE) is a Pine Script indicator designed to quantify market volatility using the Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) model. This model captures both symmetric and asymmetric volatility dynamics and provides a robust tool for analyzing market risk and trends.
Key Features:
Core EGARCH Formula:
ln(σ t 2 )=ω+α(∣ϵ t−1 ∣+γ⋅ϵ t−1 )+β⋅ln(σ t−1 2 )
ω (Omega): Captures long-term baseline volatility.
α (Alpha): Measures sensitivity to recent shocks.
γ (Gamma): Incorporates asymmetric effects (e.g., higher volatility during market drops).
β (Beta): Reflects the persistence of historical volatility.
The formula computes log-volatility, which is then converted to actual volatility for interpretation.
Standardized Returns:
The script calculates daily log-returns and standardizes them to measure deviations from expected price changes.
Percentile-Based Volatility Analysis:
Tracks the percentile rank of current volatility over a historical lookback period.
Highlights high, medium, or low volatility zones using dynamic background colors.
Dynamic Normalization:
Maps volatility into a normalized range ( ) for better visual interpretation.
Uses color gradients (green to red) to reflect changing volatility levels.
SMA Integration:
Adds a Simple Moving Average (SMA) of either EGARCH volatility or its percentile for trend analysis.
Interactive Display:
Displays current volatility and its percentile rank in a table for quick reference.
Includes high (75%) and low (25%) volatility threshold lines for actionable insights.
Applications:
Market Risk Assessment: Evaluate current and historical volatility to assess market risk levels.
Quantitative Strategy Development: Incorporate volatility dynamics into trading strategies, particularly for options or risk-managed portfolios.
Trend and Momentum Analysis: Use normalized or smoothed volatility trends to identify potential reversals or breakouts.
Asymmetric Volatility Detection: Highlight periods where downside or upside volatility dominates.
Visualization Enhancements:
Dynamic colors and thresholds make it intuitive to interpret market conditions.
Percentile views provide relative volatility context for historical comparison.
This indicator is a versatile tool for traders and analysts seeking deeper insights into market behavior, particularly in volatility-driven trading strategies.
Effort vs Result with Std DevSummary Table:
Condition Effort-Result Ratio Interpretation
High Volume, Big Price Move Above +2 SD Strong move, efficient effort.
High Volume, Small Price Move Below Mean / -2 SD Weak move, possible exhaustion.
Low Volume, Big Price Move Above Mean / +2 SD Efficient effort, momentum strong.
Low Volume, Small Price Move Near Mean Market indecision, low activity.
RSI BB StdDev SignalOverview
The RSI BB StdDev Signal Indicator is a powerful tool designed to enhance your trading strategy by combining the Relative Strength Index (RSI) with Bollinger Bands (BB). This unique combination allows traders to identify potential buy and sell signals more accurately by leveraging the strengths of both indicators. The RSI helps in identifying overbought and oversold conditions, while the Bollinger Bands provide a dynamic range to assess volatility and potential price reversals.
Key Features
— RSI Calculation: The indicator calculates the RSI based on user-defined parameters, allowing for customization to fit different trading styles.
— Bollinger Bands Integration: The RSI values are smoothed using a moving average, and Bollinger Bands are applied to this smoothed RSI to generate buy and sell signals.
— Divergence Detection: The indicator includes an optional feature to detect and alert on bullish and bearish divergences between the RSI and price action.
— Customizable Alerts: Users can set up alerts for buy and sell signals, as well as for divergences, ensuring they never miss a trading opportunity.
— Visual Aids: The indicator plots the RSI, Bollinger Bands, and signals on the chart, making it easy to visualize and interpret the data.
How It Works
1. RSI Calculation:
— The RSI is calculated using the change in the source input (default is close price) over a specified period.
— The RSI values are then plotted on the chart with customizable overbought and oversold levels.
2. Smoothing and Bollinger Bands:
— The RSI values are smoothed using a moving average (SMA, EMA, SMMA, WMA, VWMA) selected by the user.
— Bollinger Bands are applied to the smoothed RSI to create dynamic upper and lower bands.
3. Signal Generation:
—Buy signals are generated when the RSI crosses above the lower Bollinger Band.
—Sell signals are generated when the RSI crosses below the upper Bollinger Band.
—These signals are plotted on both the RSI pane and the main price chart for easy reference.
4. Divergence Detection:
— The indicator can detect and alert on regular bullish and bearish divergences between the RSI and price action.
— Bullish divergences occur when the price makes a lower low, but the RSI makes a higher low.
— Bearish divergences occur when the price makes a higher high, but the RSI makes a lower high.
Usage
1. Setting Up:
— Add the indicator to your TradingView chart.
— Customize the RSI length, source, and other parameters in the settings panel.
— Enable or disable the divergence detection based on your trading strategy.
2. Interpreting Signals:
— Use the buy and sell signals generated by the RSI crossing the Bollinger Bands as potential entry and exit points.
— Pay attention to divergences for additional confirmation of trend reversals.
3. Alerts:
— Set up alerts for buy and sell signals to receive notifications in real-time.
— Enable divergence alerts to be notified of potential trend reversals.
Conclusion
The RSI BB StdDev Signal Indicator is a comprehensive tool that combines the strengths of the RSI and Bollinger Bands to provide traders with more accurate and reliable signals. Whether you are a beginner or an experienced trader, this indicator can enhance your trading strategy by offering clear visual cues and customizable alerts.
Note
This indicator is provided with open-source code, allowing users to understand its logic and customize it further if needed. The detailed description and customizable settings ensure that traders of all levels can benefit from its unique features.
Intraday Realized VolatilityIntraday Realized Volatility calculator which calculates simple moving average of 1 minute returns to calculate variance, and annualizes it to calculate intraday realized volatility.
Hold Time With Percentage Drop Catastrophic ExitStrategy Name: Volatile Market Minimum-Hold & Catastrophic Drop Exit Strategy
Description:
This is a strategy designed to operate effectively within volatile trading environments, with specific rules that balance patience with protection from risk. It looks to capitalize on breakout conditions but provides a failsafe in the event of a sudden severe price decline.
Key Features:
Volatility-Based Entry Criteria:
This strategy is based on Bollinger Bands, ATR, VWAP, and MACD in trying to find breakout opportunities with increased volatility in the markets. It demands that the price go over the upper Bollinger Band when ATR indicates increased turbulence and that MACD signals upward momentum. In this way, it selects trades with high follow-through likelihoods, especially under trending conditions.
Minimum Holding Period:
Once a long position is initiated, the strategy imposes a strict "no-sell" period in bars. This means that, under normal circumstances, it will not close the position. This encourages the trade to mature, reducing the likelihood of premature exits caused by minor pullbacks or intraday noise.
Volume Confirmation:
A relative volume filter ensures that breakouts aren't occurring in low-liquidity conditions. In doing so, the strategy is only looking to enter when market participation is well above average, thereby increasing the odds of price moves being legitimate and sustainable.
Catastrophic Drop Exit:
The strategy includes a "catastrophic drop" mechanism to help mitigate severe, unexpected losses. If the price falls below a user-defined percentage of the entry price—sufficiently large to indicate a major market breakdown—it will override the minimum hold rule and immediately close the position. This helps protect capital if the market suddenly turns sharply negative.
User Configuration:
All the key parameters, which include the minimum hold duration, catastrophic drop percentage, Bollinger Band settings, MACD lengths, and ATR-based stop/target multiples, are user-editable. Traders can adjust the aggressiveness, holding time, and risk controls of the strategy to fit their specific risk tolerance, trading style, and the volatility profile of the markets in which they're participating.
Intended Use Case:
This strategy is more suitable for traders operating in more volatile markets, with frequent whipsaws and fast price moves. It tries to capture the upside of a volatile breakout while minimizing the downside from a sudden price collapse by balancing a forced hold period against the flexibility of a catastrophic drop exit.
Note:
This approach is in line with all automated or rules-based approaches: extensive backtesting and parameter optimization, followed by thorough forward-testing on paper, is very strongly advised before going into live market conditions. Also, adjust parameters to better suit your instrument of choice, timeframe, and your criteria of personal risk management.
Bollinger Bands Divergence with Buy and Sell Signalsmy fav indicators
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Volatility Signaling 50SMAOverview of the Script:
The script implements a volatility signaling indicator using a 50-period Simple Moving Average (SMA). It incorporates Bollinger Bands and the Average True Range (ATR) to dynamically adjust the SMA's color based on volatility conditions. Here's a detailed breakdown:
Components of the Script:
1. Inputs:
The script allows the user to customize key parameters for flexibility:
Bollinger Bands Length (length): Determines the period for calculating the Bollinger Bands.
Source (src): The price data to use, defaulting to the closing price.
Standard Deviation Multiplier (mult): Scales the Bollinger Bands' width.
ATR Length (atrLength): Sets the period for calculating the ATR.
The 50-period SMA length (smaLength) is fixed at 50.
2. Bollinger Bands Calculation:
Basis: Calculated as the SMA of the selected price source over the specified length.
Upper and Lower Bands: Determined by adding/subtracting a scaled standard deviation (dev) from the basis.
3. ATR Calculation:
Computes the Average True Range over the user-defined atrLength.
4. Volatility-Based Conditions:
The script establishes thresholds for Bollinger Band width relative to ATR:
Yellow Condition: When the band width (upper - lower) is less than 1.25 times the ATR.
Orange Condition: When the band width is less than 1.5 times the ATR.
Red Condition: When the band width is less than 1.75 times the ATR.
5. Dynamic SMA Coloring:
The 50-period SMA is colored based on the above conditions:
Yellow: Indicates relatively low volatility.
Orange: Indicates moderate volatility.
Red: Indicates higher volatility.
White: Default color when no conditions are met.
6. Plotting the 50-Period SMA:
The script plots the SMA (sma50) with a dynamically assigned color, enabling visual analysis of market conditions.
Use Case:
This script is ideal for traders seeking to assess market volatility and identify changes using Bollinger Bands and ATR. The colored SMA provides an intuitive way to gauge market dynamics directly on the chart.
Example Visualization:
Yellow SMA: The market is in a low-volatility phase.
Orange SMA: Volatility is picking up but remains moderate.
Red SMA: Higher volatility, potentially signaling significant market activity.
White SMA: Neutral/default state.
DT Bollinger BandsIndicator Overview
Purpose: The script calculates and plots Bollinger Bands, a technical analysis tool that shows price volatility by plotting:
A central moving average (basis line).
Upper and lower bands representing price deviation from the moving average.
Additional bands for a higher deviation threshold (3 standard deviations).
Customization: Users can customize:
The length of the moving average.
The type of moving average (e.g., SMA, EMA).
The price source (e.g., close price).
Standard deviation multipliers for the bands.
Fixed Time Frame: The script can use a fixed time frame (e.g., daily) for calculations, regardless of the chart's time frame.
Key Features
Moving Average Selection:
The user can select the type of moving average for the basis line:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Smoothed Moving Average (SMMA/RMA)
Weighted Moving Average (WMA)
Volume Weighted Moving Average (VWMA)
Standard Deviation Multipliers:
Two multipliers are used:
Standard (default = 2.0): For the original Bollinger Bands.
Larger (default = 3.0): For additional bands.
Bands Calculation:
Basis Line: The selected moving average.
Upper Band: Basis + Standard Deviation.
Lower Band: Basis - Standard Deviation.
Additional Bands: Representing ±3 Standard Deviations.
Plots:
Plots the basis, upper, and lower bands.
Fills the area between the bands for visual clarity.
Plots and fills additional bands for ±3 Standard Deviations with lighter colors.
Alerts:
Generates an alert when the price enters the range between the 2nd and 3rd standard deviation bands.
The alert can be used to notify when price volatility increases significantly.
Background Highlighting:
Colors the chart background based on alert conditions:
Green if the price is above the basis line.
Red if the price is below the basis line.
Offset:
Adds an optional horizontal offset to the plots for fine-tuning their alignment.
How It Works
Input Parameters:
The user specifies settings such as moving average type, length, multipliers, and fixed time frame.
Calculations:
The script computes the basis (moving average) and standard deviations on the fixed time frame.
Bands are calculated using the basis and multipliers.
Plotting:
The basis line and upper/lower bands are plotted with distinct colors.
Additional 3 StdDev bands are plotted with lighter colors.
Alerts:
An alert condition is created when the price moves between the 2nd and 3rd standard deviation bands.
Visual Enhancements:
Chart background changes color dynamically based on the price’s position relative to the basis line and alert conditions.
Usage
This script is useful for traders who:
Want a detailed visualization of price volatility.
Use Bollinger Bands to identify breakout or mean-reversion trading opportunities.
Need alerts when the price enters specific volatility thresholds.
Hourly Change Table (UTC Adjustable)### Indicator Description: Hourly Change Table (UTC Adjustable)
The **Hourly Change Table (UTC Adjustable)** is a powerful tool designed for analyzing **hourly average price changes** across financial instruments. By calculating and sorting these averages, the indicator identifies the hours with the most significant positive and negative price movements. It also provides visual highlights directly on the chart for easier decision-making.
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### What Does This Indicator Do?
1. **Analyzes Hourly Average Price Changes**:
- It calculates the **average percentage price change** for each hour based on the selected lookback period.
2. **Displays a Ranked Table**:
- The indicator generates a table ranking hourly averages from the highest to the lowest, allowing you to see which hours are the most impactful.
3. **Highlights Max and Min Hours on the Chart**:
- The hour with the highest average price change is highlighted in **green**.
- The hour with the lowest average price change is highlighted in **red**.
4. **Adjusts for Time Zones**:
- A customizable **UTC Offset** ensures the indicator aligns with your preferred time zone.
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### Key Features
1. **Customizable Lookback Period**:
- Define how many bars the indicator analyzes to calculate meaningful trends.
2. **Time Zone Adjustment**:
- Adjust the UTC offset to match your local trading hours or preferred analysis window.
3. **Graphical Chart Highlights**:
- Instantly identify the most significant hours with color-coded chart backgrounds.
4. **Sorted Data Table**:
- View a ranked list of hourly averages with the maximum and minimum values highlighted for quick reference.
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### How to Use This Indicator?
1. **Add to Your Chart**:
- Apply the indicator to any financial instrument and time frame on TradingView.
2. **Set the Lookback Period**:
- Configure the "Lookback Bars" setting to define how many bars the indicator should analyze.
3. **Configure the UTC Offset**:
- Align the indicator with your preferred time zone by setting the appropriate UTC offset (e.g., `2` for UTC+2).
4. **Enable Background Highlighting (Optional)**:
- Turn on "Enable Background Highlighting" to visually highlight the max and min hours on the chart.
5. **Analyze the Table**:
- Use the table to identify consistent hourly trends and make informed trading decisions based on historical data.
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### Practical Use Cases
- **Volatility Analysis**:
- Identify the hours of highest activity or price movement to create a more effective trading plan.
- **Market Timing**:
- Optimize entry and exit points by focusing on the hours with the highest or lowest average changes.
- **Custom Strategy Development**:
- Incorporate hourly averages into your trading strategies for greater precision.
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### Example (BTC/USD)
1. You are analyzing the **BTC/USD pair** and set the **UTC Offset** to `2` (UTC+2) to match your local time zone.
2. The indicator calculates and identifies:
- **10:00-11:00 (UTC+2)** as the hour with the highest average price increase (e.g., +0.85%).
- **14:00-15:00 (UTC+2)** as the hour with the lowest average price change (e.g., -0.65%).
3. Based on this information:
- You decide to **closely monitor 10:00-11:00** for potential bullish activity or upward momentum.
- You prepare for **14:00-15:00** to act cautiously or position for potential bearish movements.
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### Important Notes
- **This indicator does not provide financial or investment advice.**
- It is intended solely for **educational purposes** to assist traders in analyzing historical price data.
- Always consider additional market factors, perform your own research, and consult with a financial advisor before making trading or investment decisions.
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This description emphasizes that the indicator calculates **hourly averages**, while also including a disclaimer clarifying its educational purpose. It’s suitable for publication on TradingView.
Crypto Price Volatility Range# Cryptocurrency Price Volatility Range Indicator
This TradingView indicator is a visualization tool for tracking historical volatility across multiple major cryptocurrencies.
## Features
- Real-time volatility tracking for 14 major cryptocurrencies
- Customizable period and standard deviation multiplier
- Individual color coding for each currency pair
- Optional labels showing current volatility values in percentage
## Supported Cryptocurrencies
- Bitcoin (BTC)
- Ethereum (ETH)
- Avalanche (AVAX)
- Dogecoin (DOGE)
- Hype (HYPE)
- Ripple (XRP)
- Binance Coin (BNB)
- Cardano (ADA)
- Tron (TRX)
- Chainlink (LINK)
- Shiba Inu (SHIB)
- Toncoin (TON)
- Sui (SUI)
- Stellar (XLM)
## Settings
- **Period**: Timeframe for volatility calculation (default: 20)
- **Standard Deviation Multiplier**: Multiplier for standard deviation (default: 1.0)
- **Show Labels**: Toggle label display on/off
## Calculation Method
The indicator calculates volatility using the following method:
1. Calculate daily logarithmic returns
2. Compute standard deviation over the specified period
3. Annualize (multiply by √252)
4. Convert to percentage (×100)
## Usage
1. Add the indicator to your TradingView chart
2. Adjust parameters as needed
3. Monitor volatility lines for each cryptocurrency
4. Enable labels to see precise current volatility values
## Notes
- This indicator displays in a separate window, not as an overlay
- Volatility values are annualized
- Data for each currency pair is sourced from USD pairs
Adaptive Volatility-Scaled Oscillator [AVSO] (Zeiierman)█ Overview
The Adaptive Volatility-Scaled Oscillator (AVSO) is a dynamic trading indicator that measures and visualizes volatility-adjusted market behavior. By scaling various metrics (such as volume, price changes, standard deviation, ATR, and Yang-Zhang volatility) and applying adaptive smoothing, AVSO helps traders identify market conditions where volatility deviates significantly from the norm.
This indicator uses standardized scaling (Z-Score logic) to highlight periods of abnormally high or low volatility relative to recent history. With gradient coloring and clear volatility zones, AVSO provides a visually intuitive way to analyze market volatility and adapt trading strategies accordingly.
█ How It Works
⚪ Scaling Metrics: The indicator scales user-selected metrics (e.g., volume, ATR, standard deviation) relative to the market and price, providing a standardized volatility measure.
⚪ Z-Score Standardization: The scaled metric is normalized using a Z-Score to measure how far current volatility deviates from its recent mean.
Positive Z-Score: Above-average volatility.
Negative Z-Score: Below-average volatility.
⚪ Adaptive Smoothing: An Adaptive EMA smooths the Z-Score, dynamically adjusting its length based on the strength of the volatility. Stronger deviations result in shorter smoothing, increasing responsiveness.
█ Unique Feature: Yang-Zhang Volatility
The Yang-Zhang volatility estimator sets this indicator apart by providing a more robust and accurate measure of volatility compared to traditional methods like ATR or standard deviation.
⚪ What Makes Yang-Zhang Volatility Unique?
Comprehensive Calculation: It combines overnight price gaps (log returns from the previous close to the current open) and intraday price movements (high, low, and close).
Accurate for Gapped Markets: Traditional volatility measures can misrepresent price movement when significant gaps occur between sessions. Yang-Zhang accounts for these gaps, making it highly reliable for assets prone to overnight price jumps, such as stocks, cryptocurrencies, and futures.
Adaptable to Real Market Conditions : By including both close-to-open returns and intraday volatility, it provides a balanced and adaptive measure that captures the full volatility picture.
⚪ Why This Matters to Traders
Better Volatility Insights: Yang-Zhang offers a clearer view of true market volatility, especially in markets with price gaps or uneven trading sessions.
Improved Trade Timing: By identifying volatility spikes and calm periods more effectively, traders can time their entries and exits with greater confidence.
█ How to Use
Identify High and Low Volatility
A high Z-Score (>2) indicates significant market volatility. This can signal momentum-driven moves, breakouts, or areas of increased risk.
A low Z-Score (<-2) suggests low volatility or a calm market environment. This often occurs before a potential breakout or reversal.
Trade Signals
High Volatility Zones (background highlight): Monitor for potential breakouts, trend continuations, or reversals.
Low Volatility Zones: Anticipate range-bound conditions or upcoming volatility spikes.
█ Settings
Source: Select the price source for scaling calculations (close, high, low, open).
Metric Measure: Choose the volatility measure:
Volume: Scales raw volume.
Close: Uses closing price changes.
Standard Deviation: Price dispersion.
ATR: Average True Range.
Yang: Yang-Zhang volatility estimate.
Bars to Analyze: Number of historical bars used to calculate the mean and standard deviation of the scaled metric.
ATR / Standard Deviation Period: Lookback period for ATR or Standard Deviation calculation.
Yang Volatility Period: Period for the Yang-Zhang volatility estimator.
Smoothing Period: Base smoothing length for the adaptive smoothing line.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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