Bull / Bear Market RegimeBull / Bear Market Regime
Instructions:
- A simple risk on or risk off indicator based on CBOE's Implied Correlation and VIX to highlight and indicate Bull / Bear Markets. To be used with the S&P500 index as that's the source from where the CBOE calculates and measures implied volatility & implied correlation. Can also be used with the other indices such as: Dow Jones, S&P 500, Nasdaq, & Nasdaq100, & Index ETF's such as DIA, SPY, QQQ, etc.
- Know the active regime, see the larger picture using the Daily or Weekly view, and visualize the current "Risk On (Bull) or Risk Off (Bear)" environment.
Description:
- Risk On and Risk Off simplified & visualized. Know if we are in a RISK ON or RISK OFF environment (Bull or Bear Market). (Absolute bottoms and tops will occur BEFORE a Risk On (Bull Market) or Risk Off (Bear Market) environment is confirmed!) This indicator is not meant to bottom tick or uptick market price action, but to show the active regime.
- Green: Bull Market, Risk On, low volatility, and low risk.
- Red: Bear Market, Risk Off, high volatility, and higher risk.
Buy & Sell Indicators (DAILY time frame)
- Nothing is 100% guaranteed! Can be used for short to medium term trades at the users discretion in BEAR MARKETS!!
- These signals are meant to be used during a RISK OFF / BEAR MARKET environment that tends to be accompanied with high volatility. A Risk on / Bull Market environment tends to have low volatility and endless rallies, so the signals will differ and in most instances not apply for Bull market / Risk on regime.
- The SELL signal will more often than not signal that a pullback is near in a BULL market and that a BMR-Bear Market Rally is almost over in a BEAR market.
- The BUY signal will have far more accuracy in a BEAR market-high volatility environment and can Identify short-term and major bottoms.
Always use proper sizing and risk management!
ابحث في النصوص البرمجية عن "Volatility"
Short PositionThis is a “twin” indicator to the “Long Position” indicator. Both of these indicators share very similar scripting elements, purpose, and calculation logic. Mathematical principles are basically flipped 180° if you were to compare them, although things can be very complex in the coding world.
These indicators are intended to be used separately or in conjunction with each other. The reason they’re separated into two publications is mostly to avoid confusion when navigating through the settings. Settings are also “color-coated” with default colors and we do not think that too much green belongs in the “Short Position” indicator. Also, we believe that if someone wants to sell, they shouldn’t have to think about buying and vice versa.
“How to use” & script information
Upon execution of this script, you will be asked to click on the chart’s timeline. The position will then lock onto the candlesticks in that area and automatically (according to this script’s algorithm) calculate a “reasonable” leverage , as well as stop-loss, targets , and more.
These calculated levels are based on previous volatility for that specific chart and timeframe. Volatility is determined by different elements defined in this script (closed-source). In short, the script’s volatility-based algorithms looks at previous price action and then applies a very precise logic to it.
Now the user has a starting point and can determine if the indicator did a good job or if they want to input their own values. Below are some available functions that also can be enabled in the settings.
Focus-assist: Volatility and position-based signal during strong movements relative to previous volatility.
Dynamic-target: Volatility and position-based target that closes the position when strong movements are identified.
To keep this description short, we will stop here.
Summary
With this indicator, it’s possible to set up “fake” positions and practice or “play” with buying and selling with leverage. You can look at past performance and thereafter use it from day to day and see if you can make the right decisions in the right moments. You can also “invent” your own use cases or maybe you just want to visualize leverage.
Long PositionThis is a “twin” indicator to the “Short Position” indicator. Both of these indicators share very similar scripting elements, purpose, and calculation logic. Mathematical principles are basically flipped 180° if you were to compare them, although things can be very complex in the coding world.
These indicators are intended to be used separately or in conjunction with each other. The reason they’re separated into two publications is mostly to avoid confusion when navigating through the settings. Settings are also “color-coated” with default colors and we do not think that too much red belongs in the “Long Position” indicator. Also, we believe that if someone wants to buy, they shouldn’t have to think about selling and vice versa.
“How to use” & script information
Upon execution of this script, you will be asked to click on the chart’s timeline. The position will then lock onto the candlesticks in that area and automatically (according to this script’s algorithm) calculate a “reasonable” leverage , as well as stop-loss, targets , and more.
These calculated levels are based on previous volatility for that specific chart and timeframe. Volatility is determined by different elements defined in this script (closed-source). In short, the script’s volatility-based algorithms looks at previous price action and then applies a very precise logic to it.
Now the user has a starting point and can determine if the indicator did a good job or if they want to input their own values. Below are some available functions that also can be enabled in the settings.
Focus-assist: Volatility and position-based signal during strong movements relative to previous volatility.
Dynamic-target: Volatility and position-based target that closes the position when strong movements are identified.
To keep this description short, we will stop here.
Summary
With this indicator, it’s possible to set up “fake” positions and practice or “play” with buying and selling with leverage. You can look at past performance and thereafter use it from day to day and see if you can make the right decisions in the right moments. You can also “invent” your own use cases or maybe you just want to visualize leverage.
vol_boxA simple script to draw a realized volatility forecast, in the form of a box. The script calculates realized volatility using the EWMA method, using a number of periods of your choosing. Using the "periods per year", you can adjust the script to work on any time frame. For example, if you are using an hourly chart with bitcoin, there are 24 periods * 365 = 8760 periods per year. This setting is essential for the realized volatility figure to be accurate as an annualized figure, like VIX.
By default, the settings are set to mimic CBOE volatility indices. That is, 252 days per year, and 20 period window on the daily timeframe (simulating a 30 trading day period).
Inside the box are three figures:
1. The current realized volatility.
2. The rank. E.g. "10%" means the current realized volatility is less than 90% of realized volatility measures.
3. The "accuracy": how often price has closed within the box, historically.
Inputs:
stdevs: the number of standard deviations for the box
periods to project: the number of periods to forecast
window: the number of periods for calculating realized volatility
periods per year: the number of periods in one year (e.g. 252 for the "D" timeframe)
vol_premiaThis script shows the volatility risk premium for several instruments. The premium is simply "IV30 - RV20". Although Tradingview doesn't provide options prices, CBOE publishes 30-day implied volatilities for many instruments (most of which are VIX variations). CBOE calculates these in a standard way, weighting at- and out-of-the-money IVs for options that expire in 30 days, on average. For realized volatility, I used the standard deviation of log returns. Since there are twenty trading periods in 30 calendar days, IV30 can be compared to RV20. The "premium" is the difference, which reflects market participants' expectation for how much upcoming volatility will over- or under-shoot recent volatility.
The script loads pretty slow since there are lots of symbols, so feel free to delete the ones you don't care about. Hopefully the code is straightforward enough. I won't list the meaning of every symbols here, since I might change them later, but you can type them into tradingview for data, and read about their volatility index on CBOE's website. Some of the more well-known ones are:
ES: S&P futures, which I prefer to the SPX index). Its implied volatility is VIX.
USO: the oil ETF representing WTI future prices. Its IV is OVX.
GDX: the gold miner's ETF, which is usually more volatile than gold. Its IV is VXGDX.
FXI: a china ETF, whose volatility is VXFXI.
And so on. In addition to the premium, the "percentile" column shows where this premium ranks among the previous 252 trading days. 100 = the highest premium, 0 = the lowest premium.
ape[x] Spot/Derivatives Indicator ( SDI )Apex spot and derivatives indicator is the latest generation of volume based algorithmic volatility trend Indicator developed by Quantdegen group.
It is a confluence of multiple modified legacy indicators to suit trader's ease to understand in which direction market is headed.
This generation of apex SDI is also developed with a vision to automate the trades with external third party bots/self scripted bots with the help of trading view alert system.
As we all know market usually outperforms legacy Indicators because they are evolved enough to attack liquidity and take stop loss of those who have poor risk management.
Apex SDI makes sure such attacks do not affect the signals by considering the most important factors like volume and expected volatility. It also confluences higher time frame arrays with lower time frame arrays to filter out the noise which might cause because of LFT volatility.
Quantdegen group is glad to announce this breakthrough in algorithmic trading indicators and make it available for public use.
strangle_pricerUsage:
1. Set the put and call strike inputs to values of your choosing.
2. Select "days to expiration".
3. Set the put and call standard deviations using the output table.
The indicator is meant help price a strangle using historical data and a volatility model. By default, the model is an ewma-method historical volatility. After selecting strikes and standard their corresponding standard deviation, theoretical values and probabilities will be shown in the table. The script is initialized with -1 for several inputs, and won't show any data until these are adjusted.
The theoretical values shown assume a strangle was bought or sold on every historical bar, and averaging their value at expiration.
For example, if you choose the $50 call and $40 put when the underlying is at $45 and there are 30 days until expiration, suppose the volatility is N and
these strikes correspond to M standard deviations. Input those and the resulting theoretial values shown will be based on opening a 30 dte call and put at M standard deviations with respect to the volatility at each bar.
- Past volatility forecasts are plotted in blue, and hidden by default.
- The current volatility forecast is drawn as a blue line.
- The put and call strikes are drawn as red lines.
This indicator is only meant for the daily chart!
Since I won't be able to edit this description later, also check the release notes and script comments for important changes.
3D Wave-PMThe Wave-PM (Whistler Active Volatility Energy - Price Mass) indicator is an oscillator described in Mark Whistler's book 'Volatility Illuminated'.
The Wave-PM was specifically designed to help read cycles of volatility. When visualizing volatility cycles as a heatmap we can get a clear overview of market volatility phases on multiple timeframes, and more importantly as traders give us insight into 'potential' volatility from to pent up energy signaled by the blue and green plumes which invariably give way to big moves signaled by the orange and red plumes.
This indicator can be quite GPU intensive, so simple and also line based visualization methods are included. Also, its free and open source so go ahead and hack it to your hearts content. Enjoy!
Trend MagicTrend Magic is originally a MT platform (MetaTrader) indicator and it can be used with any forex trading systems / strategies for additional confirmation of trading entries or exits. Converted the MT platform code to TradingView Pine version 4. Also you can use Multiple Time Frame.
It also works well with Crypto and Stock Markets.
Trend Magic consists of two main calculation parts as momentum and volatility:
First part is ATR based (like ATR Trailing Stop) logic, second part is all about CCI which also determines the color of Trend Magic.
Blue: when CCI is positive
Red: when CCI is negative
Also added alert condition regarding price crosses :
when LOW CrossesAbove TM
and HIGH CrossesBelow TM
Enjoy
Kıvanç Özbilgiç
TradeChartist Chameleon™TradeChartist Chameleon is an exceptionally beautiful trend following indicator (visualised using Chameleon plot) based on Momentum and Volatility using User input of Chameleon Mode and Risk factor (ATR multiple) to generate Trade Opportunities.
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™TradeChartist Chameleon Features
Minimal user input of Chameleon Mode Selection from (Aggressive, Normal and Laid Back) and Chameleon Risk Factor (Min - 1, Max - 5 of ATR Multiple).
---> For Higher Timeframes, lower Risk Factor is recommended (Max - 3) as the trading range can be high based on Volatility.
---> For Lower Timeframes, higher Risk Factor can be used (Normal or Laid Back Mode) based on asset price volatility.
Comprehensive Chameleon Dashboard with useful information like Real-time Gains Tracker , User settings and general trade information. Dashboard can be customised based on user preference from Chameleon Settings.
Automatic Targets based on Trade.
Option to paint Price Bars to help identify Price Trend.
Option to display Profit Taking Bars (enabling this from settings will paint $ signs where Profit taking is recommended).
Option to color background based on trade type.
Alerts can be created for Long and Short Entry Signals using "Once per Bar" as Trade Entries are generated only upon confirmation (previous candle close below/above Chameleon Trigger line).
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How to create Alerts for ™TradeChartist Chameleon Long and Short Entries?
Alerts can be created for Long or Short entries using Once Per Bar as BUY and SELL labels appear with entries only on confirmation after bar close.
Does the indicator include Stop Loss and Take Profit plots?
This script doesn't have Stop Loss and Take Profit plots, but it can be connected to ™TradeChartist Plug and Trade as Oscillatory signal (" Chameleon ") to set StopLoss and Take Profit plots and to create all types of alerts too.
Does this indicator repaint?
No. This script doesn't repaint as it confirms its signals only after close above/below Chameleon Trigger line and also uses security function to call higher time-frame values in the right way to avoid repainting. This can be verified using Bar Replay to check if the plots and fills stay in the same bar in real time as the Bar Replay.
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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Lau3%Lau3% — adaptive trend, volatility trail, and smart session zones
Lau3% was created to solve two common problems of many indicators: false triggers during sideways markets and unrealistic levels cluttering the chart.
How it works (conceptually):
- Adaptive baselines adjust their speed to volatility. They respond quickly in impulsive phases and smooth out in calm periods, so the trend representation stays relevant.
- Volatility trail acts as a dynamic barrier. When the market changes regime and price crosses this barrier, a signal may appear. To avoid constant noise, the script validates the move so that weak sideways fluctuations don’t trigger signals.
- Two signal modes:
-- Flip — selective signals only on confirmed regime change.
-- Volatility cross — designed for aggressive trading and frequent entries.
- Session zones highlight realistic support and resistance for the current period. They adapt by distance to price and often match areas where stop orders or large limit orders accumulate.
How to read it:
- Flip mode = trend confirmation style.
- Volatility cross = aggressive breakout style.
- Session zones = pressure/interest areas for market participants.
This logic keeps the script useful in both trending and ranging conditions, without overloading the chart with redundant lines.
PLAIN VAMSThe PLAIN VAMS (Volatility-Adjusted Momentum Score) is a visual tool designed to help traders identify momentum shifts relative to prevailing volatility conditions. Unlike traditional momentum indicators, VAMS adapts dynamically to price fluctuations by comparing current price levels to volatility-based boundaries derived from customizable moving averages.
Key Features:
- Volatility-Adjusted Zones: Prices are evaluated against upper and lower dynamic boundaries, signaling potential overbought or oversold momentum conditions.
Two Modes:
- PLAIN VAMS (default): Uses a longer lookback period for smoother, trend-following behavior.
- RAW VAMS: A shorter lookback for high-sensitivity, intraday or scalping setups.
Customizable Moving Averages:
Choose from multiple MA types (EMA, SMA, WMA, etc.) to match your strategy preferences.
Visual Clarity:
- Color-coded candles for quick signal recognition.
- Optional background shading for immediate context.
- Boundary lines to define momentum thresholds.
How It Works:
The script calculates a moving average (based on user-selected type and period) and applies an upper and lower multiplier to create dynamic price boundaries. When price closes beyond these bands, it suggests a strong directional momentum move. The indicator is fully customizable to adapt to your trading style and timeframe.
Use Cases:
- Identify potential breakouts or trend continuations.
- Filter entries/exits based on momentum strength.
- Combine with other tools for confirmation in your strategy.
This indicator does not repaint or use future-looking data. It’s designed for discretionary and systematic traders looking for an adaptive way to visualize momentum relative to market volatility.
LULD Bands & Trading Halt Detector [Volume Vigilante]📖 LULD Bands & Trading Halt Detector
This advanced tool visualizes official Limit Up / Limit Down (LULD) price bands and detects regulatory trading halts and resumptions based on SEC and NASDAQ rules. It is engineered for high accuracy by anchoring all calculations to the 1-minute timeframe, ensuring reliable signals across any chart resolution.
📌 What Does This Script Do?
- Draws real-time LULD price band estimations and optional buffer (caution) zones directly on the chart.
- Detects trading halt resumptions by monitoring time gaps between candles and other regulatory criteria. (Note: Due to Pine Script limitations, halts cannot be detected in real-time, only resumptions after they occur.)
- Triggers real-time alerts for:
- Trading Resumptions (Limit Up & Limit Down)
- LULD Zone Entries (Caution Zone)
- Band Breaches (Limit Up and Limit Down)
- Plots historical halt resumption markers to analyse past events.
📐 How It Works:
- Implements official SEC/NASDAQ LULD rules for Tier 1 and Tier 2 securities.
- Applies special band adjustments for the final 25 minutes of trading (after 3:35 PM ET).
- Anchors all logic to the 1-minute timeframe for precise calculations, even on higher timeframe charts.
- Includes adjustable volume and volatility filters to eliminate false signals (ghost halts) on low-- liquidity assets, especially Tier 2 securities when TradingView fails to print candles.
⚙️ How to Use It:
1.) Apply the script to any asset or timeframe.
2.) Adjust Volume and Volatility Filters to reduce noise. (Recommended: 500,000+ volume, 10%+ volatility.)
3.) Enable or disable visual components like bands, buffer zones, and halt resumption labels.
4.) Configure alerts directly from the script settings panel.
5.) Apply alerts to individual assets via "Add Alert On..." or to entire watchlists using "Add Alert on the List."
🧩 What Makes This Script Unique?
- True 1-Minute Anchored Calculations: Ensures alerts and visuals match official trading halt criteria regardless of chart timeframe.
- Customisable Buffered Zones: Visualise proximity to regulatory price limits and avoid volatility traps.
- Combines halt resumption detection, limit up/down band visualisation, and real-time alerts into one clean, modular tool.
📚 Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Use at your own discretion and consult a licensed financial advisor before making trading decisions based on it.
Official Resources:
- NASDAQ LULD Regulations (FAQ):
www.nasdaqtrader.com
Current Nasdaq Trading Halts:
www.nasdaqtrader.com
VoluTility🌊 VoluTility forecasts trend exhaustion, breakout pressure, and structural inflection by measuring volatility within the effort stream. Built on the concept of ATR applied to volume, it doesn’t read raw volume — it reveals whether that volume is stable, chaotic, or compressing ahead of a move. The goal is to detect structural setups before they resolve. The lower the timeframe, the greater the alpha.
🧠 Core Logic
A zero-centered histogram shows the deviation of smoothed volume from its own volatility baseline. Positive bars indicate expansion; negative bars signal compression. Color reflects rate-of-change in volume volatility. Opacity tracks effort/result strength — showing when moves are real or hollow.
The overlaid ribbon (EMA vs HMA) highlights rhythm shifts. Orange fill signals real expansion; yellow shows decay or absorption. Together, they expose pre-breakout compression and exhaustion tails before price reacts.
🏗️ Structural Read
On the 1H BTC chart shown, price coils into a shallow pullback, compressing within a narrow range marked by shrinking candle bodies and muted wick aggression. A sudden expansion candle breaks the coil cleanly, with no immediate rejection or wick reversion. Price holds above the breakout pivot, establishing a baseline for structural acceptance and shifting bias toward continuation.
🔰 Zone Descriptions
🔴 Volatile blowout
🟠 Clean expansion
🟡 Passive or absorbed effort
🟢 Steady-state rhythm
🔵 Compression coil
🧐 Suggested Use
VoluTility is expressly designed as an overlay for sub-pane indicators, where it acts as a second-order rhythm map — exposing hidden structural pressure within volume or volatility streams. When paired with volume (like ZVOL or OBVX), it highlights when flow is expanding with intent versus fading into noise. When layered over volatility signals (like ATR Turbulence or WIRE), it reveals whether expansion has real effort behind it — or is just structural slack.
It pairs especially well with the Relative Directional Index (RDI), where its histogram and ribbon offer early exhaustion signals before traditional trend or momentum fades appear. On raw momentum tools, it acts as a filter: softening false breaks and confirming pressure-backed continuation.
Run on 15m or lower charts for early entry cues or breakout anticipation. On 1H charts, use it to validate compression resolution or detect fatigue before structure turns. It doesn’t react to price — it forecasts readiness.
Volatility Price FlowCapitalize on market volatility with our new volatility price flow indicator. We have designed this indicator to process historical price movements and indicate when price may have reached exhaustion in the context of current volatility.
This is achieved by taking the price deviation from a user defined moving average, and applying a weighting to the deviations from the candle body and candle wick on both buy side and sell side, over a user defined period. The period of the base moving average, type of moving average and the period of the historical price deviations can all be modified. This creates a typical 'band' style indicator, though with a unique characteristic that the buy and sell side vary independently as well as the band expansion being based on weighted variables tied to the actual price changes, rather than just a standard deviation the moves uniformly.
Additionally, these bands can be merged with an anchored vwap - we do this so that the deviations of price from the moving average can include a more volume based approach to identifying potential pivots.
The end result is an indicator that reflects the current market price movements, identifies and capitalizes on impulsive or beginning moves to indicate potential tops / bottoms / reversals.
The signals are simple - anytime price closes within a band, having been outside the band, a signal is displayed. As a basic guide to setting the indicator up for the first time, we suggest reducing all of the multipliers to a value less than 1. Then gradually increase each one, until the signals reduce in quantity and improve in quality, starting with the price deviation multiplier, then the volatility multiplier and finally the expansion multiplier.
Last of all, alerts can be created based on the current chart timeframe and indicator settings, simply by adding an alert that uses the built in buy or sell signal.
Note: We cannot guarantee the accuracy of the signals provided, since the user creates the signals by modifying the settings, and as such we can take no responsibility for any trading losses incurred using the indicator and highly encourage all users to manage their risk and only risk what you can afford to lose.
Trading Ranges + ZScoreOverview
The "Trading Ranges + ZScore" script is a versatile technical indicator developed for TradingView. This tool combines two powerful concepts—price ranges and Z-Score analysis—to help traders identify potential trend reversals, overbought/oversold conditions, and trend strength. The script dynamically calculates price ranges based on recent price action and utilizes Z-Score to detect deviations from a statistical norm, providing valuable insights for decision-making in both ranging and trending markets.
Features
Price Ranges: Calculates dynamic upper and lower price boundaries based on volatility and market structure.
Z-Score Oscillator: A statistical measure that highlights overbought/oversold conditions based on the deviation from a moving average.
Trend Detection: Identifies trend continuation or reversal points by comparing current price action against historical levels.
Customizable Alerts: Generates visual signals (diamonds and X crosses) for potential long/short entries and exits.
Visual Representation: Colors the bars based on Z-Score and trend direction, enhancing the chart’s readability and signal clarity.
Customizable Parameters: The script allows users to fine-tune perception length, analysis period, factor multiplier, and oscillator thresholds to fit different market conditions.
Key Input Parameters
Perception: The length used for calculating highest/lowest price points (default: 20).
Analysis: The length used for calculating the moving average and volatility (default: 100).
Factor: A multiplier to adjust the width of the price ranges (default: 2.0).
Oscillator Threshold: The overbought/oversold threshold for the Z-Score oscillator (default: 70).
Trend Filter: A boolean switch that filters signals based on trend direction.
Fill Zones: Option to color-fill between price levels when certain conditions are met.
Bullish/Bearish/Neutral Colors: Customizable colors for bullish, bearish, and neutral signals.
How It Works
Price Ranges Calculation:
The script calculates five levels: two upper boundaries, the average price level, and two lower boundaries. These levels are based on the highest/lowest prices over a user-defined period and adjusted by volatility (Average True Range).
When the price crosses either of these levels, it suggests a significant change in market direction, potentially indicating a trend reversal.
Z-Score Oscillator:
The Z-Score is a statistical measurement of a price's position relative to its moving average. The indicator calculates two variations:
Z-Score based on the absolute difference between the price and the moving average.
Z-Score based on standard deviation.
These oscillators help detect extreme conditions where the price is likely to revert (overbought/oversold zones).
Trend Detection and Signals:
The indicator generates potential buy/sell signals when the price crosses the predefined levels or based on the fast Z-Score crossing the overbought/oversold thresholds.
Weak long/short signals are shown when the faster Z-Score oscillator reaches extreme levels but trend filters are applied to avoid noise.
Bar Colors and Signal Shapes:
Bar colors change dynamically to reflect the trend direction and Z-Score conditions. Signals for potential trades are displayed using diamonds and X crosses, making it easy to spot opportunities visually.
Visuals and Plots
Bar Colors: Changes the bar color based on Z-Score and trend direction.
Z-Score Plot: Displays two Z-Score oscillators, the standard and a faster one for detecting quicker price deviations.
Overbought/Oversold Zones: Highlighted by upper and lower thresholds of the Z-Score.
Long/Short Signals: Uses diamond-shaped markers for strong long/short signals and X-shaped markers for weaker signals.
Dynamic Range Lines: Plots lines for key price levels (upper/lower boundaries, mid-range) based on the dynamic range calculations.
Usage Guide
Identify Overbought/Oversold Conditions: Look for the Z-Score reaching extreme positive or negative values. When combined with trend signals, these conditions often point to a potential reversal.
Follow the Trend: Use the trend filter option to focus only on trades in the direction of the prevailing trend, reducing false signals in ranging markets.
Watch for Range Breakouts: Pay attention to the upper and lower boundaries. Price crossing these levels often signals the start of a new trend or a major price movement.
Adjust Parameters: Tailor the perception length, analysis length, and multiplier to suit different asset classes or timeframes.
Customization
You can adjust the key parameters to adapt the indicator to different markets or personal trading preferences:
- Perception & Analysis Lengths: Control the sensitivity of the price range calculations.
- Factor Multiplier: Adjusts the width of the ranges, with higher values indicating larger zones.
- Oscillator Threshold: Modify the overbought/oversold levels to suit different market volatility.
- Trend Filter: Toggle on/off to focus on trend-following strategies or range-bound conditions.
- Visual Options: Customize colors for bullish, bearish, and neutral signals, as well as enable/disable the zone fills.
Volume-Adjusted Bollinger BandsThe Volume-Adjusted Bollinger Bands (VABB) indicator is an advanced technical analysis tool that enhances the traditional Bollinger Bands by incorporating volume data. This integration allows the bands to dynamically adjust based on market volume, providing a more nuanced view of price movements and volatility. The key qualities of the VABB indicator include:
1. Dynamic Adjustment with Volume: Traditional Bollinger Bands are based solely on price data and standard deviations. The VABB indicator adjusts the width of the bands based on the volume ratio, making them more responsive to changes in market activity. This means that during periods of high volume, the bands will expand, and during periods of low volume, they will contract. This adjustment helps to reinforce the significance of price movements relative to the central line (VWMA).
2. Volume-Weighted Moving Average (VWMA): Instead of using a simple moving average (SMA) as the central line, the VABB uses the VWMA, which weights prices by volume. This provides a more accurate representation of the average price level, considering the trading volume.
3. Enhanced Signal Reliability: By incorporating volume, the VABB can filter out false signals that might occur in low-volume conditions. This makes the indicator particularly useful for identifying significant price movements that are supported by strong trading activity.
How to Use and Interpret the VABB Indicator
To use the VABB indicator, you need to set it up on your trading platform with the following parameters:
1. BB Length: The number of periods for calculating the Bollinger Bands (default is 20).
2. BB Multiplier: The multiplier for the standard deviation to set the width of the Bollinger Bands (default is 2.0).
3. Volume MA Length: The number of periods for calculating the moving average of the volume (default is 14).
Volume Ratio Smoothing Length: The number of periods for smoothing the volume ratio (default is 5).
Interpretation
1.Trend Identification: The VWMA serves as the central line. When the price is above the VWMA, it indicates an uptrend, and when it is below, it indicates a downtrend. The direction of the VWMA itself can also signal the trend's strength.
2. Volatility and Volume Analysis: The width of the VABB bands reflects both volatility and volume. Wider bands indicate high volatility and/or high volume, suggesting significant price movements. Narrower bands indicate low volatility and/or low volume, suggesting consolidation.
3. Trading Signals:
Breakouts: A price move outside the adjusted upper or lower bands can signal a potential breakout. High volume during such moves reinforces the breakout's validity.
Reversals: When the price touches or crosses the adjusted upper band, it may indicate overbought conditions, while touching or crossing the adjusted lower band may indicate oversold conditions. These conditions can signal potential reversals, especially if confirmed by other indicators or volume patterns.
Volume Confirmation: The volume ratio component helps confirm the strength of price movements. For instance, a breakout accompanied by a high volume ratio is more likely to be sustained than one with a low volume ratio.
Practical Example
Bullish Scenario: If the price crosses above the adjusted upper band with a high volume ratio, it suggests a strong bullish breakout. Traders might consider entering a long position, setting a stop-loss just below the VWMA or the lower band.
Bearish Scenario: Conversely, if the price crosses below the adjusted lower band with a high volume ratio, it suggests a strong bearish breakout. Traders might consider entering a short position, setting a stop-loss just above the VWMA or the upper band.
Conclusion
The Volume-Adjusted Bollinger Bands (VABB) indicator is a powerful tool that enhances traditional Bollinger Bands by incorporating volume data. This dynamic adjustment helps traders better understand market conditions and make more informed trading decisions. By using the VABB indicator, traders can identify significant price movements supported by volume, improving the reliability of their trading signals.
The Volume-Adjusted Bollinger Bands (VABB) indicator is provided for educational and informational purposes only. It is not financial advice and should not be construed as a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results.
Hedge Coin M - Statistical Support and ResistanceHedge Coin M - Statistical Support and Resistance
Introduction
"Hedge Coin M - Statistical Support and Resistance" is a sophisticated, statistically-driven indicator designed specifically for traders in the COIN-M market on Binance. It offers a nuanced approach to identifying key market levels, focusing on the dynamics of support and resistance through advanced volatility analysis.
Foundation and Credits:
This script is an advanced adaptation of TradingView's standard code for the Bollinger Bands indicator. It extends the foundational concept of Bollinger Bands by integrating additional volatility metrics.
Calculation Method
This indicator employs Volume Weighted Moving Averages (VWMA) to create two distinct sets of Bollinger Bands, named BB-a and BB-b.
BB-a is derived from the VWMA of high prices, targeting potential resistance levels.
BB-b is based on the VWMA of low prices, aimed at identifying critical support levels.
Users can independently adjust the standard deviation (SD) multipliers for the upper and lower bands of both BB-a and BB-b, accommodating different market conditions.
Enhanced Volatility Analysis
The indicator calculates additional standard deviation lines for the upper band of BB-a and the lower band of BB-b. These lines provide deeper insights into market volatility.
Plotted Graphs
The primary plots include the upper and lower bands of BB-a and BB-b, marked in distinct colors for clarity.
Additional SD lines are plotted to indicate potential extended levels of support and resistance, offering traders a broader view of possible market movements.
Purpose and Usage
"Hedge Coin M - Statistical Support and Resistance" is designed to provide traders with a consistent, statistical method for identifying significant price levels.
It aids in scaling entry into positions, helping traders to navigate the COIN-M market with more informed decision-making.
This tool is especially useful for traders who combine long-term holding with swing trading strategies, offering a balanced approach to market engagement.
Integration and Adaptation
Easily integrate this indicator into your TradingView chart for the COIN-M market.
Use the insights provided to complement your overall trading strategy, particularly in identifying and reacting to significant market movements.
Disclaimer
Important Note: This indicator is provided for informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other sort of advice. Trading decisions should be made based on your own analysis, prudence, and judgment. Please be aware of the risks involved in trading and consult a financial advisor if necessary.
Candlestick Percentile RankCANDLESTICK PERCENTILE RANK
█ OVERVIEW
This script is designed to sample all available candles within a chosen time frame and provide a candlestick percentile rank to each candle. This script works by measuring a candle's body or its low to high value to the upside, or to the downside in percentage or in dollar value. Once the candle is measured its given a value based on all the previous measurements. You will be able to know if a body ( or a full candle/bar ) is above, or below a certain percentile level. By doing this you're effectively going to know if a candle is under performing or under-performing compared to the chart's history.
Example : A candle that did a 30% move vs another did a 10% and a third did a 5%. Here we 3 candles. The one that did a 30% is going to be ranked at 100 because it's the highest while the 5% candle ranks at 0 and the 10% candles ranks at 50. you see how this works. Having a candle in the 90th percentile means at that time it scored better than 90% of the preceding candles based on its move ( in dollar or percentage ).
So imagine you have an organic move of an up trend, ideally and what you want to see is this ; a candle with a low rank followed by one that's higher, followed by one that's also higher until the trend stops and you see a pin bar or whatever topping candle. You expect to see a rank going from low value to high value to suddenly sharply decrease to low value.
Constant low values may indicate lower volatility or time to change. For example, a doji candle will create a very low percentile rank value ( body-wise ). A high percentile rank value means high volatility on body and full candle calculations.
^ This is only one use of it.
A trendline may also form with a breakout points and information about the trend of the volatility of recent candles. Moving averages when applied to these calculations and to the percentile ranks can absolutely help in making these trends a bit smoother which is why you can add them to the graph. if you wish.
This script can be used in multiple ways including as a measure of volatility. or for statistical purposes. If I know the 50th percentile of a candle value I can know a very critical information about an asset's behavior and how volatile it is compared to another. There are many questions that can be answered using this script. How many times has this asset printed a candle of x% in the past y amount of time and how often does that happen. Is this candle or that truly rare ?
This script also has an option to highlight a specific percentile level showing its value. You can also see the number of sampled candles for clarity on the reliability of the data.
In conclusion, candlesticks effect each others. The whole candlestick/bars patterns is based on this. The percentile Rank is an effective way to observe and study these effects. The percentile rank shows you how on a measuring stick from 0 to 100 how a candle ( body or full low-high ) ranks compared to other candles in the past based on dollar value or percentage value. There are many untapped usages of the percentile rank when applied to candlesticks calculations and I hope this script can help you with this. If one can study the behavior of an asset and its bars percentile ranks they can unlock some probabilistic advantages.
█ Future Plans and upgrades to this script may include :
1. Count the times a percentile level is hit.
2. Display details about the highest/lowest levels.
and more! feel free to let me know what you'd like to see!
█ How to use :
1. Put the script on your chart
2. Navigate to the settings
give the script a few seconds and you should be set.
Fractal Dimension Index The Fractal Dimension Index is a technical indicator that gauges the amount of volatility currently present in the market.
The theory behind this indicator is that a value of 1.5 suggests the market is acting in a completely random fashion. As the market deviates from 1.5, the opportunity for earning profits is increased in proportion to the amount of deviation.
Keep in mind that the indicator does not show the direction of trends ! Although you can try to test it as a trend-following indicator that gives trend-following signals, that isn't the intended use of the indicator.
The Fractal Dimension Index is red when the market is in a trend. And it is blue when there is high volatility. When the Fractal Dimension Index changes its color from red to blue , it means that a trend is finishing. The market becomes erratic and high in volatility when the Fractal Dimension Index is blue . Usually, these "blue periods" do not go on for a long time, they come before a new trend.
So, look for trend-following signals while the Fractal Dimension Index is blue since this indicates high volatility before a potential trend, and avoid trend-following signals when the Fractal Dimension Index is red since this indicates a ranging/non-trending market or a trend that started long ago.
intraday_bondsStatistics for assisting with intraday bond trading, using five minute periods and one hour ranges. There are two tables, a volatility table and a correlation table. The correlation table shows the correlation of five minute returns (absolute) between the four different bond contracts that trade on the CME. The volatility table shows for each contract:
- The current realized volatility, based on the previous one hour of realized volatility. This figure is annualized for easy comparison with options contracts.
- The current realized volatility's z-score, based on all available data.
- The tick range of an "N" standard deviation move over one hour. Choose "N" using the stdevs input.
- The previous hour's true range (high - low).
The ranges are expressed in ticks.
Logarithmic Bollinger BandsLogarithmic Bollinger Bands
Published by Eric Thies on January 14, 2022
Summary
In this script I have taken the standard Bollinger band pinescript and made efforts to eliminate the behavior experienced in periods of high volatility in which we see the bands disappear completely off the chart by adding exponential plotting and logarithmic sourcing to the tool.
This tool will also show periods of Bearish and Bullish Expansion for users to see when volatility is running high in the market.
More On Bollinger Bands
Bollinger Bands consist of a center line representing the moving average of a security’s price over a certain period, and two additional parallel lines (called the upper and lower trading bands) one of which is just the moving average plus k-times the standard deviation over the selected time frame, and the other being the moving average minus k-times the standard deviation over that same timeframe. This technique has been developed in the 1980’s by John Bollinger, who lately registered the terms “Bollinger Bands” as a U.S. trademark in 2011. Technical analysts typically use 20 periods and k = 2 as default settings to build Bollinger Bands, while they can choose a simple or exponential moving average. Bollinger Bands provide a relative definition of high and low prices of a security. When the security is trading within the upper band, the price is considered high, while it is considered low when the security is trading within the lower band.
There is no general consensus on the use of Bollinger Bands among traders. Some traders see a buy signal when the price hits the lower Bollinger Band and close their position when the price hits the moving average. Some others buy when the price crosses over the upper band and sell when the price crosses below the lower band. We can see here two opposing interpretations based on different rationales, depending whether we are in a reversal or continuation pattern. Another interesting feature of the Bollinger Bands is that they give an indication of the volatility levels; a widening gap between the upper and lower bands indicates an increasing volatility, while a narrowing band indicates a decreasing volatility. Moreover, when the bands have an almost flat slope (parallel to the x-axis) the price will generally oscillate between the bands as if trading through a channel.
// © 2022 KINGTHIES THIS SOURCE CODE IS SUBJECT TO TERMS OF MOZILLA PUBLIC LICENSE 2.0 (MOZILLA.ORG/MPL/2.0)
//@version=5
//## !<---------------- © KINGTHIES --------------------->
indicator('Logarithmic Bollinger Bands (kingthies)',shorttitle='LogBands_KT',overlay=true)
// { BBANDS
src = math.log(input(close,title="Source"))
lenX = input(20,title='lenX')
highlights = input(false,title="Highlight Bear and Bull Expansions?")
mult = 2
bbandBasis = ta.sma(src,lenX)
dev = 2 * ta.stdev(src, 20)
upperBB = bbandBasis + dev
lowerBB = bbandBasis - dev
bbw = (upperBB-lowerBB)/bbandBasis
bbr = (src - lowerBB)/(upperBB - lowerBB)
// }
// { BBAND EXPANSIONS
bullExp= ta.rising(upperBB,1) and ta.falling(lowerBB,1) and ta.rising(bbandBasis,1) and ta.rising(bbw,1) and ta.rising(bbr,1)
bearExp= ta.rising(upperBB,1) and ta.falling(lowerBB,1) and ta.falling(bbandBasis,1) and ta.rising(bbw,1) and ta.falling(bbr,1)
// }
// { COLORS
greenBG = color.rgb(9,121,105,75), redBG = color.rgb(136,8,8,75)
bullCol = highlights and bullExp ? greenBG : na, bearCol = highlights and bearExp ? redBG : na
// }
// { INDICATOR PLOTTING
lowBB=plot(math.exp(lowerBB),title='Low Band',color=color.aqua),plot(math.exp(bbandBasis),title='BBand Basis',color=color.red),
highBB=plot(math.exp(upperBB),title='High Band',color=color.aqua),fill(lowBB,highBB,title='Band Fill Color',color=color.rgb(0,128,128,75))
bgcolor(bullCol,title='Bullish Expansion Highlights'),bgcolor(bearCol,title='Bearish Expansion Highlights')
// }
Pivots, Compressions and ExtensionsPivots, Compressions and Extensions
Best used with a monochromatic bar chart, ex. light gray bars that allow signals to stand out.///
Blue = volatility expansion warning, this means volatility has been compressed and is starting a new phase of volatility expansion.
(cont.) Think a ball at the top of a hill with very low positional volatility but high potential energy. Blue bars mark the point
(cont.) where potential energy starts to transition into kinetic energy. This often 'cycles' into a new regime of higher volatility.
Pink & purple bars signify extreme, exponential trend, often the climax of a particular bull or bear cycle. Can help identify tops.
Orange is meant to signal a pocket pivot as described by @RollyTrader among others. This pivot marks the end of consolidation.
