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MAD Adaptive Trend Score [BackQuant]MAD Adaptive Trend Score Overview MAD Adaptive Trend Score is a trend oscillator built from a Median Absolute Deviation-based price filter and a multi-lookback relative-position score. The indicator first calculates a rolling median and MAD from the selected source. Price deviation from the median is then clipped to a configurable MAD envelope, producing the MAD Adaptive Filter. The current value of that filtered series is then compared with a range of its previous values. Each comparison

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MAD Volatility Trail [BackQuant]MAD Volatility Trail Overview MAD Volatility Trail is a robust trend-following overlay built from a rolling median and Median Absolute Deviation rather than a conventional moving average and standard deviation. The indicator estimates a central price using the rolling median, measures how widely recent prices are distributed around that median using MAD, converts that dispersion into adaptive upper and lower bands, and then transforms those bands into one-sided trailing boundaries. The re

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Volatility Hull Ribbon [BackQuant]Volatility Hull Ribbon Overview Volatility Hull Ribbon is a trend-following overlay built from a Hull-style moving average that replaces traditional volume weighting with volatility weighting . Instead of weighting price by traded volume, this indicator weights price by the absolute True Range of each bar, meaning bars with larger range expansion have more influence on the final trend estimate. The goal is to create a smoother but responsive trend line that pays more attention to bars w

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Volume Map [FlowForge]Volume Map is a theme-aware volume indicator built to complement the other FlowForge indicators. Select a shared theme once and your entire chart updates in one step — no manual colour matching needed. ───────────────────── ⚙️ FEATURES — Volume bars coloured by candle direction (close > open) or price momentum (close > previous close) — Slow MA (SMA) and optional Fast MA (EMA) for volume trend and crossover analysis — Above/below MA highlighting — full opacity above the average, dimmed below

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Institutional Structure & Volatility (ISV-200)Key Features: Triple Top / Triple Bottom Confirmation: With the Fractal 12 setting, this indicator filters out 90% of market noise. When you see three identical fractal triangles appearing in the same price zone near the BB 200 bands, it serves as a high-conviction confirmation for a Triple Top or Triple Bottom pattern. Institutional BB 200: The 200-period Bollinger Bands act as a "psychological wall" for institutional players. Price reactions at the BB 200 bands combined with Fractal confirma

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Parkinson Range Oscillator [BackQuant]Parkinson Range Oscillator Overview Parkinson Range Oscillator is a volatility regime indicator built around the Parkinson volatility estimator , a high-low based variance model originally proposed as a more statistically efficient alternative to close-to-close volatility. Instead of measuring volatility from closing returns, this script measures volatility from the intrabar price range using ln(H/L), then converts it into a normalized oscillator (z-score) so you can identify volatilit

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MBAND 200 4H BTC/USDT - By MGS-Trading MBAND 200 4H BTC/USDT with RSI and Volume by MGS-Trading: A Neural Network-Inspired Indicator Introduction: The MBAND 200 4H BTC/USDT with RSI and Volume represents a groundbreaking achievement in the integration of artificial intelligence (AI) into cryptocurrency market analysis. Developed by MGS-Trading, this indicator is the culmination of extensive research and development efforts aimed at leveraging AI's power to enhance trading strategies. By synthesizing neural network concepts with trad

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Keltner Channel Volatility Filter OVERVIEW The Keltner Channel Volatility Filter indicator is a technical indicator that gauges the amount of volatility currently present in the market. The purpose of this indicator is to filter out with-trend signals during ranging/non-trending/consolidating conditions. CONCEPTS This indicator assists traders in capitalizing on the assumption that trends are more likely to start during periods of high volatility compared to periods of low volatility . This is because high volatility indica

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Volume Highlighter in main by RSU This indicator is displayed in the main picture, which saves the space of a picture indicator. Volume is highlighted to allow you to focus more on the above-average volume , and if it is greater than 4 times standard deviation it is marked as a huge volume in yellow. There will be support and resistance at this level. There is a switch to show the turnover.

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vx_terms USAGE -------- This script helps train your intuition for changes in the VX term structure. I recommend using it on the VIX chart, so you can compare changes in the terms to changes in VIX. It's also nice for calendar spread traders who want to get a feel for the same changes. 1. Select a day, month, and year using the inputs 2. Observe the data table. 3. Open the input again and increment or decrement the day (and month, year as necessary). 4. Click "Ok". 5. Click to deselect the indicator, w

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0_dte USAGE This script guages the probability of an underlying moving a certain amount on expiration day, to aid the popular "0 dte" strategy. The script counts how many next-day moves exceeded a given magnitude in the past, under similar conditions. The inputs are: mark_mode: - "open": measures the magnitude as "open to close"--a true 0 dte. - "previous close": for lazy people who don't want to wake up early. measures magnitude from the previous day's close. move_mode: - "percent": measures move

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pricing_table This script helps you evaluate the fair value of an option. It poses the question "if I bought or sold an option under these circumstances in the past, would it have expired in the money, or worthless? What would be its expected value, at expiration, if I opened a position at N standard deviations, given the volatility forecast, with M days to expiration at the close of every previous trading day?" The default (and only) "hv" volatility forecast is based on the assumption that today's volatilit

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vertical_pricer USAGE 1. Select the type of contract (call or put), the long strike, and the width. 2. Select the volatility model 3. The standard deviation is shown, enter it into the input. The tool gives a theoretical price of a vertical spread, based on a historical sample. The test assumes that a spread of equal width was sold on every prior trading day at the given standard deviation, based on the volatility model and duration of the contract. For example, if the 20 dte 110 strike is presently two

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Relative Volume Screener Alerts This script will screen 12 different stocks and current chart (13 in total) for entry points from my relative volume indicator. 1. Enter in any ticker ID's from charts you wish to scan in the settings. 2. Go to desired timeframe. 3. Click add alert button at top toolbar. 4. Select RVOL Screener Alerts indicator, input alert notification settings and/or change alert name and click create. The script will then scan the stocks and alert you of any entry points from the timeframe you set the alert

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Volume Panel Displays volume data in panel on bottom right of screen. Shows current bar, change from last bar and average of last 20 bars. This number can be changed in settings if you wish to have the average calculated on a different amount of bars.

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Volume Pump Wave This indicator displays volume as a pump wave. Can be useful for chart analysis and easy detection of anomalies/trends.

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Bitcoin Real Volume Bitcoin’s Real Volume An accurate read on the change in Bitcoin’s volume profile over time. Based on 2019 reports by Bitwise and Alameda Research. Please see the script code notes for assumptions and details on data selection. Follow me for more information on this script.

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by capriole_charles

Realized Volatility Realized / Historical Volatility Calculates historical, i.e. realized volatility of any underlying. If frequency is not the daily, but for example 6h, 30min, weeks or months, it scales the initial setting to be suitable for the different time frame. Examples with default settings (30 day volatility, 365 days per year): A) Frequency = Daily: Returns 30 day historical volatility, under the assumption that there are 365 trading days in a year. B) Frequency = 6h: Still returns 30 day historical

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Volume weighted Balance of Power It's a simple indication. I multiplied the output of bop with volume, make it more smoother.

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Dollar normalized volume An indicator that multiply the closing price with the current volume. (close X volume) This will show the relative interest in the underlying asset regardless of the price change over time. For the case of FXCM, when the price fell from $16 to $1, its volume spiked 16x at the same time given the fact that 16x more shares can now be purchased with the same amount of dollar. Enjoy! and remember to give a thumbs up.

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