USDT.D Volatility TrackerUSDT.D Volatility Tracker
Description:
This script is designed to track the volatility of USDT.D (US Dollar in cryptocurrency) on the TradingView platform. It uses a moving average and deviation from it to generate buy and sell signals, helping traders visualize changes in volatility and make informed decisions.
Input Parameters:
maPeriod: The period of the moving average (default 120). This parameter allows users to adjust the length of the period used to calculate the moving average.
devThreshold: The deviation threshold (default 0.6). This parameter defines the level of deviation that will trigger buy or sell signals.
Data Request:
The script requests closing data for USDT.D using the request.security function, allowing it to retrieve up-to-date data on the selected timeframe.
Moving Average and Deviation Calculation:
An exponential moving average (EMA) is used to calculate the deviation from the moving average, enabling the identification of current volatility.
Deviation Line Display:
The deviation rate line is displayed on the chart, allowing users to visually track changes in volatility.
Signal Generation:
If the deviation exceeds the set threshold (devThreshold), a buy signal is generated (green background).
If the deviation falls below the negative threshold (-devThreshold), a sell signal is generated (red background).
Visual Signals:
Buy signals are displayed on the chart as green triangles, while sell signals are displayed as red triangles. This helps traders quickly identify potential entry and exit points.
ค้นหาในสคริปต์สำหรับ "Volatility"
BTC Volatility ForecastThe "BTC Volatility Forecast" indicator is designed to help traders anticipate Bitcoin (BTC) price volatility by analyzing historical daily price ranges and projecting future fluctuations. Inspired by advanced volatility forecasting studies, it calculates an approximate realized variance using the squared difference between each day’s high and low prices. By applying a simple linear regression model over the past five days of variance data (customizable via the "Lag Period" input), the indicator provides a forecast for the next day’s volatility. This makes it a valuable tool for BTC traders looking to gauge potential market turbulence and adjust their strategies accordingly.
On the chart, the indicator displays two lines: a blue solid line representing the current realized variance and an orange line showing the forecasted volatility for the upcoming day. Traders can set a "Volatility Threshold" to trigger alerts when the forecast exceeds a specified level, aiding in risk management or trade planning. A debug label on the last bar also shows the exact current and forecasted values for quick reference. While this version uses daily data for simplicity, it captures the essence of volatility prediction and can be a starting point for understanding BTC market dynamics—perfect for both novice and experienced traders on TradingView.
QSL Rolling Annualized VolatilityThis script calculates the rolling annualized volatility of an asset, helping traders measure how much its returns fluctuate over time. It uses logarithmic daily returns and computes the standard deviation over a custom lookback period (default: 252 trading days = 1 year) to capture historical volatility. The result is scaled to an annualized figure by multiplying by √252, making it comparable across different timeframes.
🔹 Key Features:
Customizable Lookback Period: Set in days to fit different trading strategies.
Annualized Output: Expresses volatility in yearly terms for consistency with financial models.
Rolling Calculation: Continuously updates to reflect recent market conditions.
Clear Visualization: Plots volatility as a time-series indicator and displays the latest value with a label.
This tool is ideal for risk management, position sizing, and strategy optimization in quantitative trading. 🚀
Positive Volatility and Volume GaugeThis is my first published script. It is a real volatility gauge that allows the user to see the real volatility of a given candle on the 15-min time frame. It also has the SMA of real volatility and volume available.
It provides the user to identify high volatility points that can lead to reversals back to the mid-point of said high volatility.
You can change the threshold of the signal line. For the 15-min time frame, I suggest that the 1.5-2.5 threshold be used for the best view.
Good luck and let me know if you have any questions or suggestions. I'm always open to learning.
Thank you!
fake volume (normalized volatility)fake volume is not volume.
This is open source. check it my source.
there is no 'volume'
but look at that indicator, it really looks like volume.
- how is it possible?
i tried to calculate volatility. and this is it.
usually volatility = volume. so this is not a supprise.
- how is it helpful? (how can we use this?)
compare with real volume. sometime it make difference.
if "fake volume" is high, but real volme is not high,
and that means the price may not peak( nor bottom )
also it doesnt have influence.
you can use this indicator for something like score, index. that doesnt have volume.
ex: SPX, KOSPI
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가짜볼륨은 볼륨이 아닙니다.
소스코드를 보면 알겠지만 볼륨을 사용하지 않았습니다.
하지만 굉장히 볼륨처럼 보입니다.
- 어째서 이게 가능한가?
저는 시장변동률을 수치화 하려고 했고 그걸 가시화했을 뿐 입니다.
일반적으로 시장변동률은 거래량과 같이 움직입니다.
그러니 딱히 놀라운 현상은 아닙니다.
- 이것을 어떻게 쓰나요? 어떤 도움이 되나요?
가끔 볼륨이랑 가짜볼륨이 다를 수가 있습니다.
만약 볼륨이 가짜볼륨보다 작다면, 그 지점은 중요 고점이나 저점이 아니겠지요.
(사실 이런 기법들을 연구하면서 만들어진 저의 지표 shock detector가 따로 있습니다.)
볼륨이 없는 인덱스나 점수 계열을 보실 때에 볼륨 대신에 아쉬운대로 이걸 사용해볼 수도 있겠습니다.
Historical Volatility RatioThis script is a way to plot the ratio of short-term and long-term volatility. If the ratio is below 50% for a short/long term HV, we know that the market has the potential to make a large move as the volatility reverts back to its mean.
Credit to Dave Landry for this idea. Seems to be a nice predictor after looking at many breakouts after a pullback.
Defaults to 6-period and 100-period HV.
Currency Volatility Index (CVI)This Currency Volatility Index (CVI) indicator aggregates the realized volatility of the eight “major” FX pairs into a single, tradable series—much like an FX-version of the VIX. Here’s what it does step by step:
Inputs & Settings
• Volatility Length (default 20 days): the lookback over which daily log-returns’ standard deviation is computed.
• Data Timeframe (default Daily): the resolution at which price data is fetched for each pair.
• Smoothing Length (default 5): the period of a simple moving average applied to the raw, averaged volatility (in %).
Pair-by-Pair Volatility Calculation
For each hard-coded symbol (EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD, EURGBP):
Pull the series of daily closes.
Compute the series of log-returns: ln(today’s close / yesterday’s close).
Calculate the standard deviation of those log-returns over your lookback.
Annualize it (×√252) to convert daily volatility into an annualized figure.
Aggregation
The eight annualized volatilities are averaged (equal weights).
The resulting number is then multiplied by 100 to express it as a percentage.
Smoothing & Plotting
A simple moving average over the aggregated volatility smooths out spikes.
The smoothed CVI (%) is plotted as a standalone line below price charts.
Visualization Aids
A small table in the top-right corner shows each pair’s current volatility in percent.
A dynamic label on the final bar prints the latest CVI value directly on the chart.
Why use it?
Gives a one-stop measure of overall FX market turbulence.
Helps you compare “quiet” vs. “volatile” regimes across currencies.
Dynamic Volatility Heatmap (ATR)How the Script Works
Dynamic Thresholds:
atrLow and atrHigh are calculated as percentiles (20% and 80% by default) of ATR values over the last double the ATR period (28 days if ATR is 14).
This creates thresholds that adapt to recent market conditions.
Background Heatmap:
Green: ATR is below the low threshold, indicating calm markets (options are cheap).
Red: ATR is above the high threshold, signaling elevated volatility (options are expensive).
Yellow: ATR is within the normal range, showing neutral market conditions.
Overlay Lines:
]Dynamic lines for atrLow and atrHigh help visualize thresholds on the chart.
Interpretation for Trading
Green Zone (Low ATR):
Interpretation: The market is calm, and options are likely underpriced.
Trade Setup: Favor buying options (e.g., long straddles or long calls/puts) to profit from potential volatility increases.
Red Zone (High ATR):
Interpretation: The market is volatile, and options are likely overpriced.
Trade Setup: Favor selling options (e.g., credit spreads or iron condors) to benefit from volatility decay.
Yellow Zone (Neutral ATR):
Interpretation: Volatility is within typical levels, offering no strong signal.
Trade Setup: Combine with other indicators, such as gamma levels or Bollinger Bands, for confirmation.
5. Enhancing with Other Indicators
Combine with Bollinger Bands:
Overlay Bollinger Bands to identify price extremes and align them with volatility heatmap signals.
Weighted VolatilityIntroducing the "Weighted Volatility" indicator, a powerful tool that incorporates the PeacefulIndicators library to measure the price volatility and volume in the market. This indicator is designed to help you detect potential opportunities and enhance your trading analysis.
The Weighted Volatility indicator offers the following features:
Adjustable input parameters, allowing you to modify the source (close by default) and the length parameter to suit your trading style and preferences.
A visually clear display, with the Weighted Volatility line in blue and a horizontal line at zero, making it easy to interpret the indicator's signals.
The core functionality of the Weighted Volatility indicator is powered by the weighted_volatility_oscillator function from the PeacefulIndicators library, ensuring accurate and reliable results.
To start using the Weighted Volatility indicator in your trading analysis, simply add the script to your chart and customize the input parameters as needed. We hope this script, built upon the PeacefulIndicators library, proves to be a valuable addition to your trading strategy.
[A618] Historical Volatility Bands
Historical Volatility Bands
To be used over 5 mins for best results
HVB is a standard deviation measure for Historical Volatility Percentile,
It helps you figure out the next level of Support and Resistances
> If the HVB width is narrow, its an indication for a Trending market day
> Price crossing the highest green band line symbolises a nice upmove
> Price crossing the lowest red band line symbolises a nice downmove
> Green and Red lines are levels of Support and Resistances with respect to Historical Volatility
Credits
Historical Volatility Percentile calculation part : @cheatcountry
Link to cheatcountry idea
Hope this Helps!
High Volatility and Big Price Change ScannerThis Pine Script scans for high volatility and significant price changes on the chart. It uses Average True Range (ATR) to measure volatility and calculates the percentage change in price over a specified lookback period. When both conditions—high volatility (ATR above a threshold) and a significant price change (greater than the set percentage threshold)—are met, a signal is plotted below the bar. Additionally, an alert condition is included for notifications when these conditions are satisfied.
This script is useful for identifying stocks with large price movements and increased volatility, which may indicate potential trading opportunities.
Volatility %This indicator compares the average range of candles over a long period with the average range of a short period (which can be defined according to whether the strategy is more long-term or short-term), thus allowing the measurement of the asset's volatility or the strength of the movement. It was also created to be used on the 1D time frame with Swing Trading.
This indicator does not aim to predict the direction or strength of the next movement, but seeks to indicate whether the asset's value is moving more or less than the average. Based on the principle of alternation, after a large movement, there will likely be a short movement, and after a short movement, there will likely be a long one. Therefore, phases with less movement can be a good time to position oneself, and if volatility starts to decrease and the target has not been reached, closing the position can be considered.
This indicator also comes with three bands of percentage volatility averages altered by a multiplier, allowing for a dynamic reading of how volatile the market is. These should be adapted according to the asset.
This indicator is not meant to be used alone but as an auxiliary indicator.
Local VolatilityThe traditional calculation of volatility involves computing the standard deviation of returns,
which is based on the mean return. However, when the asset price exhibits a trending behavior,
the mean return could be significantly different from zero, and changing the length of the time
window used for the calculation could result in artificially high volatility values. This is because
more returns would be further away from the mean, leading to a larger sum of squared deviations.
To address this issue, our Local Volatility measure computes the standard deviation of the
differences between consecutive asset prices, rather than their returns. This provides a measure of
how much the price changes from one tick to the next, irrespective of the overall trend.
~ arxiv.org
MAX4 Ord. Volatility Market ScannerScan volatility of for NEW 15 coin listed on binance futures , print result in label ordered form higher or lower volatility Use it in combination with MAX2 Ord. Volatility Market and MAX1 Ord. Volatility Market Scanner to have all binance futures coin scan
MAX3 Ord. Volatility Market ScannerScan volatility of for last 29 coin on binance futures, print result in label ordered form higher or lower volatility Use it in combination with MAX2 Ord. Volatility Market and MAX1 Ord. Volatility Market Scanner to have all binance futures coin scan
MAX2 Ord. Volatility Market ScannerScan volatility of 40 pair, print result in label ordered form higher or lower volatility
Use it in combination with MAX1 Ord. Volatility Market Scanner for have 80 coin scan
MAX1 Ord. Volatility Market ScannerScan volatility of 40 pair, print result in label ordered form higher or lower volatility
Use it in combination with MAX2 Ord. Volatility Market Scanner for have 80 coin scan
Implied minus Historical VolatilityJust a simple comparison of 30 day historical volatility versus 30 day implied volatility(VIX). In general, when VIX is way above realized or historical Vol, in general that is quite bullish. Backtest will be available soon.
ATR Volatility HistogramATR Volatility Histogram showing result as coloured histogram where Rising > Greenand Fallig < Red. Input can be varied in settings.
Breakout with Alma & Slope - for high volatility playSometimes best not to overthink,
buy at line crosses ;)
NFA, DYOR
best for 15m-1Hr, high volatility FX,Gold etc
Long only when 3 conditions met:-
- Fast Alma crosses Slow Alma
-Angle Pointing UP
-ADX above 20
Short when
- aqua line below navy line
- navy line pointing down
- adx >20
EXIT
- Trailing Stop: The trade closes automatically if price hits the **Red Stepped Line** (this is your safety net that follows the price).
- Emergency Exit:** The trade closes immediately if the ALMA lines cross back in the opposite direction (Reversal).
Vince/Williams Extreme Volatility VulnerabilityDescription: This indicator implements the "Period of Extreme Vulnerability" concept developed by Ralph Vince and Larry Williams. The theory posits that a healthy market must regularly see the number of New Lows "dry up" (drop to near zero). When the percentage of New Lows fails to drop below a minimal threshold (default 0.15%) for a prolonged period (default 65 days), it indicates that internal market structure is rotting even if prices are rising, leaving the market fragile and prone to sudden volatility shocks.
I have programmed this script to track that exact condition—the extended absence of a "low" New Lows reading. It applies a 50-day Moving Average filter to contextually categorize the signal:
Red Dot (Crash Warning): Triggers when the vulnerability period begins while the price is above the 50 SMA. This is the classic warning signal, indicating that an uptrend is unsupported by market internals and a sharp correction may be imminent.
Green Dot (Contrarian Buy): Triggers when the vulnerability period begins while the price is below the 50 SMA. The script identifies this as a potential capitulation or value point where the persistent internal weakness is likely already priced in.
Note: This indicator requires exchange-wide data (New Lows, Advancers, Decliners) to function. It is best used on daily timeframes.
Relative Measured Volatility (RMV)RMV • Volume-Sensitive Consolidation Indicator
A lightweight Pine Script that highlights true low-volatility, low-volume bars in a single squeeze measure.
What it does
Calculates each bar’s raw High-Low range.
Down-weights bars where volume is below its 30-day average, emphasizing genuine quiet periods.
Normalizes the result over the prior 15 bars (excluding the current bar), scaling from 0 (tightest) to 100 (most volatile).
Draws the series as a step plot, shades true “tight” bars below the user threshold, and marks sustained squeezes with a small arrow.
Key inputs
Lookback (bars): Number of bars to use for normalization (default 15).
Tight Threshold: RMV value under which a bar is considered squeezed (default 15).
Volume SMA Period: Period for the volume moving average benchmark (default 30).
How it works
Raw range: barRange = high - low
Volume ratio: volRatio = min(volume / sma(volume,30), 1)
Weighted range: vwRange = barRange * volRatio
Rolling min/max (prior 15 bars): exclude today so a new low immediately registers a 0.
Normalize: rmv = clamp(100 * (vwRange - min) / (max - min), 0, 100)
Visualization & signals
Step line for exact bar-by-bar values.
Shaded background when RMV < threshold.
Consecutive-bar filter ensures arrows only appear when tightness lasts at least two bars, cutting noise.
Why use it
Quickly spot consolidation zones that combine narrow price action with genuine dry volume—ideal for swing entries ahead of breakouts.
Crypto Market VolatilityCross market look at different Crypto markets ans their growth from the lowest value in 6 hours.
Green = +10% growth
Orange = 0 001- 9.99% growth
red = lowest price in last 6 hours
Use 1 minutes candles.Orange lines signify less volatility for bots.
