Cari dalam skrip untuk "Volatility"
Volatility ArbitrageDescription:
This indicator uses rate of change (ROC) indicator and its standard deviations.
ROC values are cycling around zero, i.e. around the mean.
Two standard deviations of the ROC draw the upper and the lower bounds that serve as thresholds.
These capture outliers that can be used as signals.
Volatility InfoThis indicator is an information panel. It shows 4 hours, daily and weekly price changes.
Lookback period and all three resolutions can be change in indicator settings.
It is very easy to add more symbols in the script.
Happy trading.
Volatility based Standarde Deviation and Fib. Pivot PointsThis indicator plots Standard deviation levels and Fib. Pivot Points. I prefer to use only SD levels but Fib. levels also come handy in providing support and resistance.
How to use this indicator:
You have to manually enter instrument's Closing Price / Settlement Price and VIX closing price to draw each day's levels.
For NQ, I use VXN closign price and for ES or RTY, I use VIX closing price.
This indicator can be used on individual stocks and forex pairs.
Trailing Stop Loss SuperTrendThe Trailing Stop Loss SuperTrend indicator is a popular technical analysis tool used by traders to identify trends and determine optimal entry and exit points in financial markets. This indicator combines elements of the SuperTrend indicator and trailing stop loss orders to provide valuable insights into market trends and potential reversals. By incorporating Average True Range (ATR) calculations, it adapts to market volatility, making it suitable for various trading strategies. Let's explore the key use cases and benefits of the Trailing Stop Loss SuperTrend indicator:
Trend Identification:
The primary purpose of the Trailing Stop Loss SuperTrend indicator is to identify market trends. It plots two lines on the chart: an upper band (referred to as the "up" line) and a lower band (referred to as the "dn" line). The direction of these bands helps traders determine the prevailing trend. When the price is above the upper band, it suggests a bullish trend, and when it is below the lower band, it indicates a bearish trend.
Entry and Exit Signals:
The Trailing Stop Loss SuperTrend indicator generates entry and exit signals based on trend changes. When the trend changes from bearish to bullish, a buy signal is triggered, indicating a potential entry point. Conversely, when the trend changes from bullish to bearish, a sell signal is generated, suggesting a possible exit or short-selling opportunity. These signals can be used in conjunction with other trading strategies or indicators to enhance trading decisions.
Trailing Stop Loss Orders:
One of the distinguishing features of the Trailing Stop Loss SuperTrend indicator is its ability to incorporate trailing stop loss orders. Traders can use the indicator's upper and lower bands as trailing stop levels to protect profits and manage risk. For example, in a bullish trend, the stop loss level can be set at the lower band, and as the price rises, the stop loss level trails along with it, locking in profits and reducing potential losses.
Volatility Adaptation:
By incorporating the ATR (Average True Range) calculation, the Trailing Stop Loss SuperTrend indicator adjusts its sensitivity to market volatility. A higher ATR multiplier widens the distance between the price and the bands, accommodating higher volatility, while a lower multiplier tightens the bands during periods of lower volatility. This adaptability makes the indicator versatile and suitable for various market conditions.
Alerts and Notifications:
The Trailing Stop Loss SuperTrend indicator provides the ability to set alerts for specific events, such as trend changes, buy signals, and sell signals. Traders can receive real-time notifications via email, SMS, or on-platform alerts, ensuring they stay informed about potential trading opportunities and important market developments.
Conclusion:
The Trailing Stop Loss SuperTrend indicator is a valuable tool for traders seeking to identify trends, generate entry and exit signals, and effectively manage risk. Its ability to adapt to market volatility and incorporate trailing stop loss orders enhances trading strategies and decision-making. By combining the SuperTrend concept with trailing stop loss functionality, this indicator provides traders with a comprehensive approach to trend analysis and risk management. Whether used in isolation or in conjunction with other indicators, the Trailing Stop Loss SuperTrend indicator offers a powerful tool for navigating the dynamic world of financial markets.
ATR > VXN Alert (5m)ATR > VXN Volatility Divergence Indicator
This custom TradingView indicator monitors real-time volatility divergence between realized volatility (via Average True Range, ATR) and implied volatility (via the CBOE NASDAQ Volatility Index, VXN). It is inspired by the GJR-GARCH (Glosten-Jagannathan-Runkle Generalized Autoregressive Conditional Heteroskedasticity) model, which captures asymmetric volatility dynamics—particularly how markets respond more sharply to negative shocks than to positive ones.
Core Logic:
Chart on NQ (5 minute timeframe)
ATR (5-min) reflects realized intraday volatility of the Nasdaq 100 futures (NQ).
VXN (5-min, delayed) represents forward-looking implied volatility.
The indicator highlights regime shifts in volatility:
ATR < VXN: Volatility compression → potential energy building up (market coiling).
ATR > VXN: Volatility expansion → real movement exceeds expectations → potential breakout zone.
Visuals & Alerts:
Background turns green when ATR crosses above VXN, signaling a bullish expansion regime.
Background turns red when ATR drops below VXN, signaling compression or risk-off environment.
Custom alerts trigger on volatility regime shifts for breakout traders.
Application (Manual GJR-GARCH Strategy):
Similar to how the GJR-GARCH model captures volatility clustering and asymmetry, this indicator identifies when actual price volatility (ATR) begins to spike beyond implied forecasts (VXN), often after periods of contraction—mirroring a conditional variance shock in the GARCH framework.
Traders can align with directional bias using technical confluence (order flow, structure breaks, liquidity zones) once expansion is confirmed.
VolatilityLibrary "Volatility"
Functions for determining if volatility (true range) is within or exceeds normal.
The "True Range" (ta.tr) is used for measuring volatility.
Values are normalized by the volume adjusted weighted moving average (VAWMA) to be more like percent moves than price.
current(len) Returns the current price adjusted volatitlity ratio.
Parameters:
len : Number of bars to get a volume adjusted weighted average price.
normal(len, maxDeviation, level, gapDays, spec, res) Returns the normal upper range of volatility. Compensates for overnight gaps within a regular session.
Parameters:
len : Number of bars to measure volatility.
maxDeviation : The limit of volatility before considered an outlier.
level : The amount of standard deviation after cleaning outliers to be considered within normal.
gapDays : The number of days in the past to measure overnight gap volaility.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
isNormal(len, maxDeviation, level, gapDays, spec, res) Returns true if the volatility (true range) is within normal levels. Compensates for overnight gaps within a regular session.
Parameters:
len : Number of bars to measure volatility.
maxDeviation : The limit of volatility before considered an outlier.
level : The amount of standard deviation after cleaning outliers to be considered within normal.
gapDays : The number of days in the past to measure overnight gap volaility.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
severity(len, maxDeviation, level, gapDays, spec, res) Returns ratio of the current value to the normal value. Compensates for overnight gaps within a regular session.
Parameters:
len : Number of bars to measure volatility.
maxDeviation : The limit of volatility before considered an outlier.
level : The amount of standard deviation after cleaning outliers to be considered within normal.
gapDays : The number of days in the past to measure overnight gap volaility.
spec : session.regular (default), session.extended or other time spec.
res : The resolution (default = '1440').
VolatilityCheckerLibrary "VolatilityChecker"
Volatility is judged to be high when the range of one period is greater than the ATR of another period.
is_high(_periods, _smooth, _atr_periods, _atr_times) Return true if the volatility is high.
Parameters:
_periods : Range Period
_smooth : Smoothes the range width.
_atr_periods : ATR Period
_atr_times : Amplify the calculated ATR.
Returns: {Boolean}
is_low()
VIX and SKEW RSI Moving AveragesSKEW and VIX are both indicators of market volatility and risk, but they represent different aspects.
VIX (CBOE Volatility Index) :.
The VIX is a well-known indicator for predicting future market volatility. It is calculated primarily based on S&P 500 options premiums and indicates the degree of market instability and risk.
Typically, when the VIX is high, market participants view the future as highly uncertain and expect sharp volatility in stock prices. It is generally considered an indicator of market fear.
SKEW Index :.
The SKEW is a measure of how much market participants estimate the risk of future declines in stock prices, calculated by the CBOE (Chicago Board Options Exchange) and derived from the premium on S&P 500 options.
If the SKEW is high, market participants consider the risk of future declines in stock prices to be high. This generally indicates a "fat tail at the base" of the market and suggests that the market perceives it as very risky.
These indicators are used by market participants to indicate their concerns and expectations about future stock price volatility. In general, when the VIX is high and the SKEW is high, the market is considered volatile and risky. Conversely, when the VIX is low and the SKEW is low, the market is considered relatively stable and low risk.
Inverse Relationship between SKEW and VIX
It is often observed that there is an inverse correlation between SKEW and VIX. In general, the relationship is as follows
High VIX and low SKEW: When the VIX is high and the SKEW is low, the market is considered volatile while the risk of future stock price declines is low. This indicates that the market is exposed to sharp volatility, but market participants do not expect a major decline.
Low VIX and High SKEW: A low VIX and high SKEW indicates that the market is relatively stable, while the risk of future declines in stock prices is considered high. This indicates that the market is calm, but market participants are wary of a sharp future decline.
This inverse correlation is believed to be the result of market participants' psychology and expectations affecting the movements of the VIX and SKEW. For example, when the VIX is high, it is evident that the market is volatile, and under such circumstances, people tend to view the risk of a sharp decline in stock prices as low. Conversely, when the VIX is low, the market is considered relatively stable and the risk of future declines is likely to be higher.
SKEWVIX RSIMACROSS
In order to compare the trends of the SKEW and VIX, the 50-period moving average of the Relative Strength Index (RSI) was used for verification. the RSI is an indicator of market overheating or overcooling, and the 50-period moving average can be used to determine the medium- to long-term trend. This analysis reveals how the inverse correlation between the SKEW and the VIX relates to the long-term moving average of the RSI.
how to use
Moving Average Direction
Rising blue for VIXRSI indicates increased uncertainty in the market
Rising red for SKEWRSI indicates optimism and beyond
RSI moving average crossing
When the SKEW is dominant, market participants are considered less concerned about a black swan event (significant unexpected price volatility). This suggests that the market is stable and willing to take risks. On the other hand, when the VIX is dominant, it indicates increased market volatility. Investors are more concerned about market uncertainty and tend to take more conservative positions to avoid risk. The direction of the moving averages and the crossing of the moving averages of the two indicators can give an indication of the state of the market.
SKEW>VIX Optimistic/Goldilocks
VIX>SKEW Uncertainty/turbulence
The market can be judged as follows.
BestRegards
Expansion/Contraction Indicator (ECI) [Angel Algo]INTRODUCTION
The Expansion/Contraction Indicator (ECI) is a custom indicator designed to measure the expansion or contraction of price ranges between the open and close of each bar. It helps traders identify periods of increased or decreased volatility in the market. Since trading is most fruitful during volatile market conditions, this indicator provides valuable insights into when volatility increases, signaling the opportune moments to take action.
HOW TO USE
Expansion: When the ECI value is in the green zone, it suggests an expansion in price ranges, indicating increased volatility. This may be a potential signal for traders to expect trend movements or breakouts.
Contraction: When the ECI value falls outside the green zone, it indicates a contraction in price ranges, implying reduced volatility. This may signal potential consolidation or ranging periods in the market.
During contraction periods, it is advisable to exercise patience and await clear signals. Market cycles dictate that low-volatility contractions are often followed by high-volatility expansion periods, presenting opportunities for significant price movements.
Visualization:
Expansion Area: the area on the indicator chart filled with green. It has duller and brighter parts that indicate the level of expansion. The duller part corresponds to a low or beginning expansion.
ECI Dots: The ECI dots are plotted as circles on the chart. The dots are colored green if the ECI value is above the lower threshold, indicating an expansion. If the ECI value is below the lower threshold, the dots are colored red to indicate a contraction.
Alerts (Optional): The ECI indicator can generate alerts for expansions and contractions. By default, alerts are enabled. An expansion alert is triggered when the ECI value crosses above the upper threshold. A contraction alert is triggered when the ECI value crosses below the lower threshold.
SETTINGS
Period: determines the number of bars used to calculate the exponential moving average (EMA) of the price range. The default value is 14, but it can be set between 1 and 200. Higher values smooth out the indicator but may delay signals.
Lower Threshold: defines the level below which the ECI value indicates a contraction in price ranges, implying reduced volatility. The default value is 0.5.
CALCULATION
The indicator calculates the range between the open and close of each bar (ocRange). It then calculates the EMA of the range (emaRange) using the specified period. The ECI value is obtained by dividing the ocRange by the emaRange. Threshold Levels: The indicator includes two threshold levels for identifying expansions and contractions: a. Upper Threshold: Default value is 3.0. b. Lower Threshold: Default value is 0.5. The middle line (mL) represents the ECI value of 1.0, which indicates a neutral state, when the volatility in the market corresponds to its average value.
Simple Trend Strength & MomentumThis indicator will show a combination of Trend Strength, Volatility using an Adaptive Moving Average (AMA), and Market Momentum.
You can use this indicator to identify trends, volatility, and momentum shifts in real-time, making it an excellent tool for both trend-following and breakout strategies.
The three main features of this indicator are:
Adaptive Moving Average (AMA): Tracks the trend direction with a dynamic smoothing factor that adjusts based on market volatility. The AMA line changes color based on trend strength (green for bullish, red for bearish). I manually compute the Adaptive Moving Average (AMA) using a smoothing factor derived from the market's efficiency ratio. I have used fastLength and slowLength to control the responsiveness of the AMA.
Volatility Bands: Plots upper and lower bands around the AMA line, indicating price volatility. These bands dynamically adjust based on ATR, with a color gradient that changes intensity based on market volatility.
Momentum Circles: Positive momentum (ROC above the threshold) is shown as a green circle below the bar, while negative momentum is marked by a red circle above the bar. This makes it easy to spot momentum shifts.
The green dots in the indicator represent positive momentum. Specifically, they are displayed when the Rate of Change (ROC) of the price exceeds a predefined threshold (set as threshold in the input). This indicates that the market is experiencing upward price movement at a rate faster than the defined threshold.
How it works:
Rate of Change (ROC) measures the percentage change in price over a specified period (in this case, 14 periods).
When the ROC is greater than the set threshold (1.5 by default), a green circle (dot) is plotted below the price bar to signal that there is significant positive momentum.
This can be seen as an indicator of bullish momentum, where price is increasing at a relatively fast pace compared to previous periods.
The green dots help you spot when the price is moving upward rapidly, potentially signaling a good time to enter a long position or watch for further price action.
NOTE: It is vice versa for red dots.
Volatility_ZigZag_LibraryThis is a Pine Script library for the public indicator "Volatility ZigZag" by brettkind. For further description, please refer to the information available on the original indicator page.
Library "Volatility_ZigZag_Library"
getValues_andStyling_VolatilityZigZag_byBrettkind(hl_src, SOURCE, length, min_dev_input, stdev_fctr, ZigZag, zz_color, zz_width, zz_devline, zz_points, zz_alert_sign, ZZ_Label, ZZ_Label_clr, rev_text, zz_bars_text, pcabs_text, avg_pcabs_text, pcrel_text, avg_pcrel_text, vol_text, avg_vol_text, input_currency)
Parameters:
hl_src (bool)
SOURCE (float)
length (int)
min_dev_input (float)
stdev_fctr (float)
ZigZag (bool)
zz_color (color)
zz_width (int)
zz_devline (bool)
zz_points (bool)
zz_alert_sign (bool)
ZZ_Label (bool)
ZZ_Label_clr (color)
rev_text (bool)
zz_bars_text (bool)
pcabs_text (bool)
avg_pcabs_text (bool)
pcrel_text (bool)
avg_pcrel_text (bool)
vol_text (bool)
avg_vol_text (bool)
input_currency (string)
getStatisticTable_VolatilityZigZag_byBrettkind(x1, Y1_array, draw_tbl)
Parameters:
x1 (int)
Y1_array (array)
draw_tbl (bool)
Custom ATR with Paranormal Bar FilterCustom ATR with Paranormal Bar Filter
Description:
This indicator calculates a custom ATR (Average True Range) by filtering out bars with unusually large or small price ranges. It helps provide a more accurate measure of market volatility by ignoring outliers.
How it works:
True Range Calculation:
The price range for each bar is calculated.
Bars with ranges much larger or smaller than typical are excluded.
Filtered ATR:
The ATR is calculated using only the bars that pass the filter.
Current Bar Progress:
Measures how much the current bar has moved compared to the filtered ATR, based on the difference between its opening and closing prices.
Display:
A line represents the filtered ATR.
A table shows the filtered ATR, the current bar's range, and its progress relative to the ATR.
Input Settings:
ATR Period: Number of bars used to calculate the ATR.
Filter Window: Number of recent bars used to determine the typical range.
Filter Threshold: Sensitivity of the filter. A higher value allows more bars to pass.
How to Use:
Monitor Volatility:
Use the filtered ATR to understand market volatility while ignoring unusual price movements.
Track Current Bar Progress:
See how much of the ATR the current bar has completed.
Adjust Filter Settings:
Fine-tune the filter to match your trading timeframe and strategy.
This indicator is designed for traders who want to track market volatility without being misled by extreme outlier bars.
imbalances bandsThis indicator is designed to identify imbalances based on the calculation of the average of the highest and lowest prices. It forms a kind of band indicating correction points.
This indicator uses a total of 4 modified VWAPs, separated into 2 options that the user can activate or deactivate by checking or unchecking the options "Show imbalances bands VWAP 1" or "Show imbalances bands VWAP 2".
Let's talk about the first option, "Show imbalances bands VWAP 1". This displays 2 modified VWAPs on the screen, one in green and one in red, forming a kind of band that indicates possible points of imbalance in the market, signaling increased volatility between buying and selling. When the price tests the bands, it can be useful as there is a probability of a correction in the movement.
This can be particularly useful for those who trade using a scalping style, as it helps analyze when the price tests the bands. It can also be beneficial for trend traders because when the price tests one of the bands, there is a probability of a movement correction.
Now let's talk about the option "Show imbalances bands VWAP 2". It contains two modified VWAPs, one in purple and one in blue, which also form a kind of band. These bands also indicate the probability of a movement correction.
What is the difference between the Show imbalances bands VWAP 1 option and the Show imbalances bands VWAP 2 option?
The option "Show imbalances bands VWAP 2" consists of 2 modified volume-weighted moving averages that have a calculation checking the increase in volatility between the highest and lowest prices. One modified moving average is in purple, and the other modified moving average is in blue, forming a kind of two modified VWAPs.
The option "Show Imbalance Bands VWAP 1" consists of two modified moving averages using the absolute difference between the closing price and the moving average instead of the volume. This is particularly useful for assets where the volume is not a good indicator or is not available.
The option "Show Imbalance Bands VWAP 1" also has a calculation that checks for increased volatility between the highest and lowest prices. It features two modified moving averages, one in green and one in red.
This indicator can be adjusted according to the preferences and characteristics of the specific asset or market. It provides clear visual information and can be used as a complementary tool for technical analysis in trading strategies.
and Interesting period 5,20,50,80,200
Interesting imbalance setting 2.4, 3.3 ,4.2
Analysis Ideas: If you are following a trend, you can use this indicator to analyze how the price behaves around the bands. Since the imbalance bands indicate a probability of correction, it can be useful for identifying protection points or moments to be cautious, as there might be a probability of increased volatility.
Analysis Ideas2:For those trading using a scalping style, observe how the price behaves when it tests the imbalance band, as there may be a probability of increased volatility.
Please note that this indicator is designed for educational and informational purposes. Always conduct your own analysis and consider risk management strategies before making trading decisions.
Price over VolumeVersion 0.1
Price over Volume Indicator
Description
The Price over Volume indicator calculates the ratio of the closing price to the trading volume (price / volume) for the current chart's symbol and displays it as a histogram in a separate pane. A horizontal zero line is included as a reference to highlight positive and negative values or periods of undefined data (e.g., zero volume). The indicator is designed to help traders analyze the relationship between price movements and trading volume.
Insights Provided
Price-Volume Dynamics: The indicator shows how price per unit of volume fluctuates, offering insights into market efficiency and liquidity. High ratios may indicate low volume relative to price, suggesting potential volatility or thin markets, while low ratios may reflect high volume supporting price stability.
Trend and Momentum Analysis: Spikes or trends in the price-to-volume ratio can signal significant market events, such as buying/selling pressure or low liquidity periods, helping traders identify potential reversals or continuations.
Zero Line Reference: The zero line helps identify periods where the ratio is undefined (e.g., zero volume) or negative (if applicable), aiding in the interpretation of market conditions.
Volume Sensitivity: By normalizing price by volume, the indicator highlights how volume influences price movements, which is useful for assessing the strength of trends or breakouts.
How to Use
Setup: Apply the indicator to any chart with price and volume data (e.g., stocks, cryptocurrencies like BINANCE:BTCUSDT). The histogram appears in a separate pane below the main chart.
Interpretation :
High Ratios: Indicate low trading volume relative to price, potentially signaling overbought conditions or low liquidity. Use with caution in thin markets.
Low Ratios: Suggest high volume supporting price levels, indicating stronger market participation or stability.
Spikes: Watch for sudden increases in the ratio, which may precede volatility or significant price moves.
Zero Line: Periods where the histogram is absent (due to zero volume) indicate no trading activity, useful for identifying illiquid periods.
Trading Applications:
Confirmation Tool: Combine with other indicators (e.g., RSI, MACD) to confirm trend strength. A rising price-to-volume ratio with a price uptrend may indicate weakening volume support, suggesting a potential reversal.
Volume Analysis: Use alongside volume-based indicators (e.g., OBV, VWAP) to assess whether price movements are backed by sufficient volume.
Scalping/Day Trading: Monitor intraday ratio changes to identify high-impact periods with low volume, which may offer short-term trading opportunities.
Customization: Adjust the histogram color or style (e.g., change to line plot) via the Pine Editor to suit your preferences. Consider adding smoothing (e.g., moving average) for cleaner signals.
Notes
Data Requirements: Ensure the chart’s symbol has valid volume data. Symbols with no volume (e.g., some forex pairs) will result in undefined (na) values.
Limitations: The indicator is sensitive to zero-volume periods, which may cause gaps in the histogram. Use on high-liquidity symbols for best results.
Performance: Lightweight and efficient, suitable for all timeframes.
This indicator is ideal for traders seeking to understand the interplay between price and volume, offering a unique perspective on market dynamics for informed trading decisions.
ZScore Plot with Ranked TableVersion 0.1
ZScore Plot with Ranked Table — Overview
This indicator visualizes the rolling ZScores of up to 10 crypto assets, giving traders a normalized view of log return deviations over time. It's designed for volatility analysis, anomaly detection, and clustering of asset behavior.
🎯 Purpose
• Show how each asset's performance deviates from its historical mean
• Identify potential overbought/oversold conditions across assets
• Provide a ranked leaderboard to compare asset behavior instantly
⚙️ Inputs
• Lookback: Number of bars to calculate mean and standard deviation
• Asset 1–10: Choose up to 10 symbols (e.g. BTCUSDT, ETHUSDT)
📈 Outputs
• ZScore Lines: Each asset plotted on a normalized scale (mean = 0, SD = 1)
• End-of-Line Labels: Asset names displayed at latest bar
• Leaderboard Table: Ranked list (top-right) showing:
◦ Asset name (color-matched)
◦ Final ZScore (rounded to 3 decimals)
🧠 Use Cases
• Quantitative traders seeking cross-asset momentum snapshots
• Signal engineers tracking volatility clusters
• Risk managers monitoring outliers and systemic shifts
ALT - ATR Percent Rank🔵 Description
The "ALT - ATR Percent Rank" indicator is a financial analysis tool designed to assess the volatility of an asset relative to its historical behavior, using the Average True Range (ATR) metric.
🔵 Purpose
The indicator aims to provide traders with insights into how the current volatility of an asset compares to its past levels. By evaluating the Percent Rank of the ATR, traders can determine if the current ATR value is high or low in the context of a specified historical period.
🔵 Functionality
• Asset and Timeframe Flexibility
Selectable Asset: Users can choose to apply the indicator to a different asset than the one currently displayed on the chart. This is particularly useful for comparing the volatility of multiple assets without switching charts.
Customizable Timeframe: The indicator can be set to analyze the ATR on different timeframes, regardless of the chart's current timeframe. This allows for multi-timeframe analysis without changing the view of the current chart.
• ATR Calculation
The Average True Range (ATR) is calculated over a user-defined number of bars (ATR Length). ATR is a commonly used measure of volatility that captures the degree of price movement per bar.
REF: Average True Range (ATR) Calculation
• Percent Rank Analysis
The indicator computes the Percent Rank of the current ATR value based on a specified lookback period (Percent Rank Lookback). This tells users how the current ATR compares to ATR values over the recent past, expressed as a percentile. For example, a Percent Rank of 90% indicates that the current ATR is higher than 90% of its values over the chosen lookback period, suggesting higher volatility.
• Visualization
The result is plotted as a line on a separate panel below the main trading chart, making it easy to view changes in volatility relative to historical levels.
🔵 Use Cases
• Trend Confirmation
Traders might use the indicator to confirm if a price movement is backed by significant volatility changes, which could validate the strength of a trend.
• Risk Management
Understanding when an asset is experiencing unusually high or low volatility could help in adjusting trading strategies, such as altering position sizes or setting stop-loss orders.
• Comparative Analysis
By enabling the analysis of different assets or timeframes, traders can perform comparative volatility studies, which can be essential in portfolio management or when seeking diversification opportunities.
This indicator is a valuable tool for traders who rely on volatility analysis to make informed trading decisions, providing a clear, quantifiable measure of how current market conditions compare to historical data.
Bollinger Bands with 3SD and BUY-SELL Basis*The white lines(both inner and outer ones) are from original Bollinger Bands (calculated as SMA20+SD and SMA20-SD).
*Inner lines are calculated with 2 Standard Deviation ( as classical Bollinger Bands ) and outer ones are with 3 Standard Deviation.
*3 SD calculation is important because, it is useful to investigate further the volatility.
*Classical Bollinger Bands Basis is included in calculations to obtain the bands, but the basis isn't plotted (SMA20).
*For Basis, a-13 bar EMA line is added which tells "BUY" when GREEN, and which tells "SELL" when RED.
*Generally, this code is good to further investigate the volatility especially by the help of 3SD lines. It is particularly important for crypto currencies which are generally highly volatile. On the other hand, the basis will tell BUY-SELL points and BUY-SELL points can be confirmed further, by investigating classical Bollinger Bands rules and anticipate about the volatility.
Multi-Crypto Principal Component AnalysisVersion 0.2
## 📌 Multi-Crypto Principal Component Analysis (PCA) — Indicator Summary
### 🎯 Purpose
This indicator identifies **cryptocurrency assets that are behaving differently** from the rest of the market, using a simplified approach inspired by Principal Component Analysis (PCA). It’s designed to help traders spot **cross-market divergences**, detect outliers, and improve asset selection and correlation-based strategies.
### ⚙️ How It Works
The indicator analyzes the **log returns** of up to 7 user-defined assets over a configurable lookback period (default: 100 bars). It computes the **z-score** (standardized deviation) for each asset’s return series and compares it against the average behavior of the group.
If an asset’s behavior deviates significantly (beyond a threshold of 1.5 standard deviations), it’s flagged as an **outlier**.
- Each outlier is plotted as a **colored dot horizontally spaced** above the price bar
- Up to **3 dots per bar** are shown for visual clarity
This PCA-style detection works in real time, directly on the chart, and gives you a quick overview of which assets are breaking correlation.
### 🔧 Inputs
- 🕒 **Lookback Period**: Number of bars to analyze (default: 100)
- 🔢 **Assets 1–7**: Choose any 7 crypto symbols from any exchange
- 🎨 **Colors**: Predefined per asset (e.g. BTCUSDT = red, ETHUSDT = yellow)
- 📈 **Threshold**: Internal (1.5 std dev); adjustable in code if needed
### 📊 Outputs
- 🟢 Dots above candles representing assets that are acting as outliers
- 🧠 Real-time clustering insight based on statistical deviation
- 🧭 Spatially spaced dots to avoid visual overlap when multiple outliers appear
### ⚠️ Limitations
- This is a **PCA-inspired approximation**, not true matrix-based PCA
- It does **not compute principal components or eigenvectors**
- Sensitivity may vary with asset volatility or sparse trading data
- Real PCA requires external tools like Python or R for full dimensional analysis
This tool is ideal for traders who want real-time crypto correlation insights without needing external data science platforms. It’s lightweight, fast, and highly visual — and gives you a powerful lens into market dislocations across multiple assets.
Real VIXReal VIX is showing us what we can expect from the volatility index. When Real VIX is falling, that means that market volatility will fall and there will be good uptrend.
When Real VIX is rising, that means that volatility will rise, and you can expect huge market movements
This code calculates the "Real VIX" indicator, which is a measure of market volatility. It uses data from various sources, including the High Yield Corporate Bond Index (HYG), the US Dollar Index (DXY), and various US Treasury bond yields, as well as the USDCAD currency pair.
The formula for Real VIX is complex, but it essentially calculates the difference between the current value of the VIX (a commonly used measure of market volatility) and a smoothed version of the VIX. This difference is then plotted on a chart, with green indicating that the market is less volatile than the smoothed version of the VIX suggests, and red indicating that the market is more volatile than expected.
The code also includes a warning for when the Real VIX falls below zero, which suggests that a recession may be on the horizon.
