Daily Standard Deviation (fadi)The Daily Standard Deviation indicator uses standard deviation to map out daily price movements. Standard deviation measures how much prices stray from their average—small values mean steady trends, large ones mean wild swings. Drawing from up to 20 years of data, it plots key levels using customizable Fibonacci lines tied to that standard deviation, giving traders a snapshot of typical price behavior.
These levels align with a bell curve: about 68% of price moves stay within 1 standard deviation, 95% within roughly 2, and 99.7% within roughly 3. When prices break past the 1 StDev line, they’re outliers—only 32% of moves go that far. Prices often snap back to these lines or the average, though the reversal might not happen the same day.
How Traders Use It
If prices surge past the 1 StDev line, traders might wait for momentum to fade, then trade the pullback to that line or the average, setting a target and stop.
If prices dip below, they might buy, anticipating a bounce—sometimes a day or two later. It’s a tool to spot overstretched prices likely to revert and/or measure the odds of continuation.
Settings
Open Hour: Sets the trading day’s start (default: 18:00 EST).
Show Levels for the Last X Days: Displays levels for the specified number of days.
Based on X Period: Number of days to calculate standard deviation (e.g., 20 years ≈ 5,040 days). Larger periods smooth out daily level changes.
Mirror Levels on the Other Side: Plots symmetric positive and negative levels around the average.
Fibonacci Levels Settings: Defines which levels and line styles to show. With mirroring, negative values aren’t needed.
Overrides: Lets advanced users input custom standard deviations for specific tickers (e.g., NQ1! at 0.01296).
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Pure CocaPure Coca - Trend & Mean Reversion Indicator
Overview
The Pure Coca indicator is a trend and mean reversion analysis tool designed for identifying dynamic shifts in market behavior. By leveraging Z-score calculations, this indicator captures both trend-following and mean-reverting periods, making it useful for a wide range of trading strategies.
What It Does
📉 Detects Overbought & Oversold Conditions using a Z-score framework.
🎯 Identifies Trend vs. Mean Reversion Phases by analyzing the deviation of price from its historical average.
📊 Customizable Moving Averages (EMA, SMA, VWMA, etc.) for smoothing Z-score calculations.
🔄 Adaptable to Any Timeframe – Default settings are optimized for 2D charts but can be adjusted to suit different market conditions.
How It Works
Computes a Z-score of price movements, normalized over a lookback period.
Plots upper and lower boundaries to visualize extreme price movements.
Dynamic Midlines adjust entry and exit conditions based on market shifts.
Background & Bar Coloring help traders quickly identify trading opportunities.
Key Features & Inputs
✔ Lookback Period: Adjustable period for calculating Z-score.
✔ Custom MA Smoothing: Choose from EMA, SMA, WMA, VWAP, and more.
✔ Z-Score Thresholds: Set upper and lower bounds to define overbought/oversold conditions.
✔ Trend vs. Mean Reversion Mode: Enables traders to spot momentum shifts in real-time.
✔ Bar Coloring & Background Highlights: Enhances visual clarity for decision-making.
How to Use It
Trend Trading: Enter when the Z-score crosses key levels (upper/lower boundary).
Mean Reversion: Look for reversals when price returns to the midline.
Custom Optimization: Adjust lookback periods and MA types based on market conditions.
Why It's Unique
✅ Combines Trend & Mean Reversion Analysis in one indicator.
✅ Flexible Z-score settings & MA choices for enhanced adaptability.
✅ Clear visual representation of market extremes.
Final Notes
This indicator is best suited for discretionary traders, quantitative analysts, and systematic traders looking for data-driven market insights. As with any trading tool, use in conjunction with other analysis methods for optimal results.
Forward-Backward Exponential Oscillator [LuxAlgo]The Forward-Backward Exponential Oscillator is a normalized oscillator able to estimate directional shifts by making use of a unique "Forward-Backward Filtering" calculation method for Exponential Moving Averages (EMAs).
This unique method provides a smooth normalized representation of the price with reduced lag.
🔶 USAGE
The oscillator consists of 2 series of values derived from normalizing the sum of each EMA's change across the selected user lookback window (length), one less reactive computed forward (in grey), and the other re-calculated backward for each bar (in blue).
Given this "Forward-Backwards" calculation method, we are able to produce a more reactive oscillator compared to the same operation done on a simple double-smoothed EMA.
The interaction between these 2 values (Forward Value and Backward Value) can highlight shifts in market momentum over time.
When the Forward Value is above the Backward Value, the price is seen moving up, and likewise, when the Forward EMA is below, the Backward EMA price is seen moving down.
The indicator specifically displays the difference between values through a histogram located at the 50 mark on the oscillator.
🔹 Projection
We project the approximated future values of the forward value in front of the current line. This helps show the data that is being used for the creation of the Forward Value.
🔹 Length & Smoothing
The Smoothing Input controls the length of the EMAs which are analyzed.
The Length Input controls the lookback for the sum of changes from the EMAs.
Displayed below is a comparison of varying input sizes and their results.
As seen above:
A larger length input will result in slower, gradual movement by the oscillator since the summed values are from a larger lookback.
A higher smoothing setting will result in smoother EMAs, leading to a smoother oscillator output that is less contaminated by noisy variations.
Note: The length of the projection is tied to the "length" input, to get a longer projection, a larger length is required.
🔶 DETAILS
Forward-backward filtering is a method applied to LTI (linear time-invariant) filters to provide a filter response with zero-phase shift, this has the visible effect of shifting a regular causal filter response to the right, making it appear has have effectively 0 lag.
The name of this operation indicates that the filter is first calculated forward over a series of values (like regular moving averages), then calculated backward, using the previous output as input for the filter, effectively applying the filter twice.
While this operation effectively allows us to obtain a zero-lag response when applied to an EMA, it is subject to repainting, as this indicator only returns the normalized sum of changes of the forward-backward EMA, which does not introduce any repainting behaviors in the final output of the oscillator.
🔶 SETTINGS
Length: Change the calculation lookback length for the oscillator.
Smoothing: Alter the smoothness of the back-end EMA calculations.
Source: Change the source input used for the indicator.
LEXUS - SCALPER v2Overview:
The LEXUS - SCALPER v2 is a powerful trading indicator designed for scalpers who thrive on making quick, precise trades. By leveraging multiple moving averages and fundamental concepts from the BBMA (Bollinger Bands and Moving Averages) strategy, this indicator helps traders accurately identify trends and take advantage of pullbacks to entry.
Key Features:
Multiple Moving Averages: The indicator uses multiple moving averages to identify the trend direction. also the moving averages work in harmony to provide a clear picture of the market’s current state to entry on pullbacks.
BBMA Concepts: By incorporating BBMA principles, the LEXUS - SCALPER v2 enhances trend identification and ensures that trades are made in alignment with market conditions.
Scalping Focus: This indicator is specifically designed for scalping, allowing traders to capitalize on very short-term market movements for quick profits.
How It Works:
Trend Identification: The moving averages are used to determine the overall trend. When the moving average is ascending, it indicates a bullish trend. Conversely, when the moving average is descending, it indicates a bearish trend.
Entry Points: The LEXUS - SCALPER v2 marks entry points on the pullbacks with an arrow above or below the closing candle. These arrows signal potential trade opportunities based on the trend and pullbacks.
Exit Points: To manage risk and protect profits, the indicator includes a CUTLOSS line. When the price closes below this line, it signals that it's time to exit the position.
Usage Instructions:
Add the Indicator: Add the LEXUS - SCALPER v2 to your TradingView chart.
Identify Entry Points: Look for arrows on the closing candles, which indicate potential trade opportunities based on pullbacks.
Manage Risk: Pay attention to the CUTLOSS line. If the price closes below this line, exit the position to minimize losses.
Adaptive Stochastic Oscillator with Signals [AIBitcoinTrend]👽 Adaptive Stochastic Oscillator with Signals (AIBitcoinTrend)
The Adaptive Stochastic Oscillator with Signals is a refined version of the traditional Stochastic Oscillator, dynamically adjusting its lookback period based on market volatility. This adaptive approach improves responsiveness to market conditions, reducing lag while maintaining trend sensitivity. Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, allowing traders to manage risk and optimize trade exits effectively.
👽 What Makes the Adaptive Stochastic Oscillator Unique?
Unlike the standard Stochastic Oscillator, which uses a fixed lookback period, this version dynamically adjusts the period length using an ATR-based fractal dimension. This makes it more responsive to market conditions, filtering out noise while capturing key price movements.
Key Features:
Adaptive Lookback Calculation – Stochastic period changes dynamically based on volatility.
Real-Time Divergence Detection – Identify bullish and bearish divergences instantly.
Implement Crossover/Crossunder signals tied to ATR-based trailing stops for risk management
👽 The Math Behind the Indicator
👾 Adaptive Lookback Period Calculation
Traditional Stochastic Oscillators use a fixed-length period for their calculations, which can lead to inaccurate signals in varying market conditions. This version automatically adjusts its lookback period based on market volatility using an ATR-based fractal dimension approach.
How it Works:
The fractal dimension (FD) is calculated using the ATR (Average True Range) over a defined period.
FD values dynamically adjust the Stochastic lookback period between a minimum and maximum range.
This results in a faster response in high-volatility conditions and smoother signals during low volatility.
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Traders can anticipate trend reversals before they occur using real-time divergence detection.
Bullish Divergence Setup:
Identify price making a lower low while Stochastic %K makes a higher low.
Enter a long trade when Stochastic confirms upward momentum.
Bearish Divergence Setup:
Identify price making a higher high while Stochastic %K makes a lower high.
Enter a short trade when Stochastic confirms downward momentum.
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅Stochastic %K crosses above 90 → Buy signal.
✅A bullish trailing stop is placed at low - ATR × Multiplier.
✅Exit if the price crosses below the stop.
Bearish Setup:
✅Stochastic %K crosses below 10 → Sell signal.
✅A bearish trailing stop is placed at high + ATR × Multiplier.
✅Exit if the price crosses above the stop.
👽 Why It’s Useful for Traders
Adaptive Period Calculation: Dynamically adjusts to market volatility.
Real-Time Divergence Alerts: Helps traders identify trend reversals in advance.
ATR-Based Risk Management: Automatically adjusts stop levels based on price movements.
Works Across Multiple Markets & Timeframes: Useful for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
Min & Max Lookback Periods – Define the range for the adaptive Stochastic period.
Enable Divergence Analysis – Toggle real-time divergence detection.
Lookback Period – Set the number of bars for detecting pivot points.
Enable Trailing Stop – Activate the dynamic trailing stop feature.
ATR Multiplier – Adjust stop-loss sensitivity.
Line Width & Colors – Customize stop-loss visualization.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Opening Price Deviations with AlertsOverview
The Timeframe Opening Price Deviations indicator helps traders visualize how price deviates from a key reference point—the opening price of a selected timeframe (Daily, Weekly, or Monthly). It calculates upper and lower deviation levels based on a percentage step and plots these levels on the chart. This can help traders identify potential areas of support and resistance.
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How It Works
Opening Price Reference:
The script retrieves the opening price of the selected timeframe (Daily, Weekly, or Monthly).
Deviation Levels Calculation:
Five upper and lower deviation levels are calculated based on a percentage step input by the user.
Each level is determined by multiplying the opening price by (1 ± step size).
Visualization
The indicator plots the calculated levels as horizontal lines above and below the opening price.
Labels appear only on the latest bar, displaying the exact price level along with its percentage deviation from the opening price.
User has the option to turn on/off or change the bar colours. If price is within the 1st deviation lines that's considered neutral coloured orange as default. If price is above/below the first deviation levels the bar colours will be green or red.
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Potential Use Cases
Support & Resistance Zones 🟢🔴
The deviation levels can act as potential areas where price may reverse or consolidate based on historical price behaviour.
Breakout & Reversion Strategies 📈📉
If price breaks above an upper deviation level, it could indicate momentum continuation.
If price rejects from a level, it might suggest a mean reversion opportunity.
Trend Strength Analysis 🔍
The distance between the price and deviation levels can help traders assess whether a trend is strong (moving away from the opening price) or weak (hovering near the opening price).
Intraday vs. Multi-Timeframe Perspective 🕒
By selecting different timeframes (Daily, Weekly, Monthly), traders can align intraday price movements with higher timeframe reference points for added confluence.
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Customization Options
Timeframe Selection: Choose between Daily, Weekly, or Monthly opening prices.
Deviation Step (%): Adjust the step size to control the spacing between deviation levels.
Colour Bars: User Is able to change the colour of the bars.
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Alerts
This Indicator also has alerts for when price crosses above/below a deviation line. It will tell you the ticker, price and time
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Final Notes
This indicator is purely for technical analysis and should not be used as a standalone trading system. It works best when combined with price action, volume analysis, or other indicators of you're choosing to refine trade decisions.
Happy Trading! 🚀📊
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This explanation is clear, informative, and compliant with TradingView’s House Rules.
Liquidations Levels [RunRox]📈 Liquidation Levels is an indicator designed to visualize key price levels on the chart, highlighting potential reversal points where liquidity may trigger significant price movements.
Liquidity is essential in trading - price action consistently moves from one liquidity area to another. We’ve created this free indicator to help traders easily identify and visualize these liquidity zones on their charts.
📌 HOW IT WORKS
The indicator works by marking visible highs and lows, points widely recognized by traders. Because many traders commonly place their stop-loss orders beyond these visible extremes, significant liquidity accumulates behind these points. By analyzing trading volume and visible extremes, the indicator estimates areas where clusters of stop-loss orders (liquidity pools) are likely positioned, giving traders valuable insights into potential market moves.
As shown in the screenshot above, the price aggressively moved toward Sell-Side liquidity. After sweeping this liquidity level for the second time, it reversed and began targeting Buy-Side liquidity. This clearly demonstrates how price moves from one liquidity pool to another, continually seeking out liquidity to fuel its next directional move.
As shown in the screenshot, price levels with fewer anticipated trader stop-losses are indicated by less vibrant, faded colors. When the lines become more saturated and vivid, it signals that sufficient liquidity - in the form of clustered stop-losses has accumulated, potentially attracting price movement toward these areas.
⚙️ SETTINGS
🔹 Period – Increasing this setting makes the marked highs and lows more significant, filtering out minor price swings.
🔹 Low Volume – Select the color displayed for low-liquidity levels.
🔹 High Volume – Select the color displayed for high-liquidity levels.
🔹 Levels to Display – Choose between 1 and 15 nearest liquidity levels to be shown on the chart.
🔹 Volume Sensitivity – Adjust the sensitivity of the indicator to volume data on the chart.
🔹 Show Volume – Enable or disable the display of volume values next to each liquidity level.
🔹 Max Age – Limits displayed liquidity levels to those not older than the specified number of bars.
✅ HOW TO USE
One method of using this indicator is demonstrated in the screenshot above.
Price reached a high-liquidity level and showed an initial reaction. We then waited for a second confirmation - a liquidity sweep followed by a clear market structure break - to enter the trade.
Our target is set at the liquidity accumulated below, with the stop-loss placed behind the manipulation high responsible for the liquidity sweep.
By following this approach, you can effectively identify trading opportunities using this indicator.
🔶 We’ve made every effort to create an indicator that’s as simple and user-friendly as possible. We’ll continue to improve and enhance it based on your feedback and suggestions in the future.
Relative Vigor Index (RVI) with EMD [AIBitcoinTrend]👽 Adaptive Relative Vigor Index with EMD & Signals (AIBitcoinTrend)
The Adaptive Relative Vigor Index (RVI) with Empirical Mode Decomposition (EMD) is an enhanced version of the traditional RVI, designed to improve signal clarity and responsiveness to market conditions. By integrating EMD smoothing and adaptive volatility-based trailing stops.
👽 What Makes the Adaptive RVI with EMD Unique?
Unlike the standard RVI, which often lags in volatile markets, this version refines price momentum detection by applying Empirical Mode Decomposition (EMD), effectively filtering out noise. Additionally, it features ATR-based trailing stops for precise trade execution.
Key Features:
EMD-Enhanced RVI – Filters out short-term noise, improving signal accuracy.
Crossover & Crossunder Signals – Generates trade signals based on RVI trends.
ATR-Based Trailing Stop – Adjusts dynamically based on volatility for optimal risk management.
👽 The Math Behind the Indicator
👾 RVI Calculation with EMD Smoothing
The Relative Vigor Index (RVI) measures trend strength by comparing the relationship between closing and opening prices, relative to the high-low range. Traditional RVI uses fixed smoothing, whereas this version applies Empirical Mode Decomposition (EMD) to extract dominant price cycles and improve trend clarity.
How It Works:
The RVI is initially calculated using a weighted moving average (WMA) over a specified period.
EMD refines the RVI signal by removing high-frequency noise, creating a smoothed RVI component.
This results in a more stable and reliable trend indicator.
👽 How Traders Can Use This Indicator
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ RVI crosses above EMD → Buy signal.
✅ A bullish trailing stop is placed at low - ATR × Multiplier.
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ RVI crosses below EMD → Sell signal.
✅ A bearish trailing stop is placed at high + ATR × Multiplier.
✅ Exit if price crosses above the stop.
👾 Detecting Overbought & Oversold Areas
This indicator helps traders identify potential reversal zones by highlighting overbought and oversold conditions.
Overbought Zone: When RVI moves above 0.4, the market may be overextended, signaling a potential reversal downward.
Oversold Zone: When RVI moves below -0.4, the market may be undervalued, suggesting a possible upward reversal.
Using these levels, traders can confirm entry and exit points alongside divergence signals for higher probability trades.
👽 Why It’s Useful for Traders
EMD-Based Signal Enhancement: Filters out noise, refining momentum signals.
Adaptive ATR-Based Risk Management: Automatically adjusts stop-loss levels to market conditions.
Works Across Multiple Markets & Timeframes: Effective for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
RVI Length – Defines the period for calculating the Relative Vigor Index.
EMD Period – Controls the level of EMD smoothing applied.
Final Smoothing – Adjusts the degree of additional signal filtering.
Lookback Period – Determines how many bars are used for detecting pivot points.
Enable Trailing Stop – Activates dynamic ATR-based trailing stops.
ATR Multiplier – Adjusts the stop-loss sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
ZenAlgo - LevelsThis script combines multiple anchored Volume-Weighted Average Price (VWAP) calculations into a single tool, providing a continuous record of past VWAP levels and highlighting when price has tested them. Typically, VWAP indicators show only the current VWAP for a single anchor period, requiring you to either keep re-anchoring manually or juggle multiple instances of different VWAP tools for each timeframe. By contrast, this script automatically tracks both the ongoing VWAP and previously completed VWAP values, along with real-time detection of “tests” (when price crosses a particular VWAP level). It’s especially valuable for traders who want to see how price has interacted with VWAP over several sessions, weeks, or months—without switching between separate indicators or manually setting anchors.
Below is a comprehensive explanation of each component, why multiple VWAP lines working together can be more informative than a single line, and how to adjust the script for various markets and trading styles:
Primary VWAP vs. Historical VWAP Lines - Standard VWAP indicators typically focus on the current line only. This script also calculates a primary VWAP, but it “locks in” each completed VWAP value when a new time anchor is detected (e.g., new weekly bar, new monthly bar, new session). As a result, you retain an ongoing history of VWAP lines for every completed anchored period. This is more powerful than manually setting up multiple VWAP tools—one for each desired timeframe—because everything is handled in a single script. You avoid chart clutter and the risk of forgetting to reset your manual VWAP at the correct bar.
Why Combine Multiple Anchored VWAP Lines in One Script? - Viewing several anchored VWAP lines together offers synergy . You see not only the current VWAP but also previous ones from different sessions or months, all within the same chart pane. This synergy becomes apparent if multiple historical VWAP lines cluster near the same price level, indicating a potentially significant zone of volume-based support or resistance. Handling this manually would involve repeatedly setting separate VWAP indicators, each reset at specific points, which is time-consuming and prone to error. In this script, the process is automated: as soon as the anchor changes, a completed VWAP line is stored so you can observe how price eventually reacts to it, repeatedly or not at all.
Automated “Test” Detection - Once a historical VWAP line is set, the script tracks when price crosses it in subsequent bars. If the high and low of a bar span that line, the script marks it in red (both the line and its label). It also keeps a counter of how many times each line has been tested. This method goes beyond a simple visual approach by quantifying the retests. Because all these lines are created and managed in one place, you don’t have to manually label the lines or check them one by one.
Advantages Over Manually Setting Multiple VWAPs
You save screen space: Instead of layering several VWAP indicators, each with unique settings, this single script plots them all on one overlay.
Automation: When a new anchor period begins, the script “closes out” the old VWAP and starts a new one. You never need to remember to reset it manually.
Retest Visualization: The script not only draws each line but also changes color and updates the label automatically if a line gets tested. Doing this by hand would be labor-intensive.
Unified Parameters: All settings (e.g., array size, max distance, test count limit) apply uniformly. You can manage them from one place, instead of configuring multiple separate tools.
Extended Insight with Multiple VWAP Lines
Since VWAP reflects the volume-weighted average price for each chosen period, historical lines can show zones where the market had a fair-value consensus in previous intervals. When the script preserves these lines, you see potential support/resistance areas more distinctly. If, for instance, price continually pivots around an old VWAP line, that may reveal a strong volume-based level. With several older VWAP lines on the chart, you gain an immediate sense of where these volume-derived averages have appeared and how price reacted over time. This wider perspective often proves more revealing than a single “current” VWAP line that does not reflect previous anchor sessions.
Handling of Illiquid Markets and Volume Limitations
VWAP is inherently tied to volume data, so its reliability decreases if volume reporting is missing or if the asset trades with very low liquidity. In such cases, a single large trade might momentarily skew the VWAP, resulting in “false” test signals when the high/low range intersects an abnormal price swing. If you suspect the data is incomplete or the market is unusually thin, it’s wise to confirm the validity of these VWAP lines before using them for any decision-making. Additionally, unusual market conditions—like after-hours trading or sudden high-volatility events—may cause VWAP to shift quickly, setting up multiple lines in a short time.
Key User-Configurable Settings
Hide VWAP on Day timeframe and above : Lets you disable the primary VWAP plot on daily or higher timeframes for a cleaner view.
Anchor Period : Select from Session, Week, Month, Quarter, Year, Decade or Century. Controls how frequently the script resets and preserves the VWAP line.
Offset : Moves the current VWAP line by a specified number of bars if you need a shifted perspective.
Max Array Size : Caps how many past VWAP lines the script will remember. Prevents clutter if you’re charting very long histories.
Max Distance : Defines how far back (in bar index units) a line is kept. If a line’s start bar is older than this threshold, it’s removed, keeping the chart uncluttered.
Max Red Labels : Limits the number of tested (red) VWAP lines that appear. If price tests a large number of old lines, only the newest red labels remain once you hit the set limit.
Workflow Overview
As soon as a new anchor period begins (e.g., a new weekly candle if “Week” is chosen), the script ends the current VWAP and stores that final value in its internal arrays.
It creates a dotted line and label representing the completed VWAP, and keeps track of whether it has been tested or not.
Subsequent bars may then cross that line. If a bar’s high/low includes the line’s value, it’s flagged as tested, labeled red, and a test counter increases.
As new anchored periods come, old lines remain visible—unless they fall outside your maxDistance or you exceed the maximum stored line count.
Real-World Benefits
Combining multiple VWAP lines—ranging, for example, from session-based lines for intraday perspectives to monthly or quarterly lines for broader context—provides a layered view of the volume-based fair price. This can help you quickly spot zones where price repeatedly intersects old VWAPs, potentially highlighting where bulls or bears took action historically. Because this script automates the management of all these lines and flags their retests, it removes a great deal of repetitive manual work that would typically accompany multiple, separate VWAP indicators set to different anchors.
Limitations & Practical Use
As with any volume-related tool, the script depends on reliable volume data. Assets trading on smaller venues or during illiquid periods may produce spurious signals. The script does not signal buy or sell decisions; rather, it helps visually map out where volume-weighted averages from previous periods might still be relevant to market behavior. Always combine the insight from these historical VWAP lines with your existing analytical approach or other technical and fundamental tools you use.
Conclusion
This script unifies past and present VWAP lines into one overlay, automatically detecting new anchor resets, storing the final VWAP values, and indicating whenever old lines are retested by price. It offers synergy through the simultaneous display of multiple historical VWAP lines, making it quicker and easier to detect potential support/resistance zones and better reflect changing market volumes over time. You no longer need to manually create, configure, or reset multiple VWAP indicators. Instead, the script handles all aspects of line creation, retest detection, and clutter management, giving you a robust framework to observe how historical VWAP data aligns with current price action.
By understanding the significance of multiple anchored VWAP lines, you can assess market structure from multiple angles in a single view. As always, ensure you confirm the reliability of the volume data for your particular asset and use these lines in conjunction with other analyses to form a well-rounded perspective on current market behavior.
Quarterly Theory ICT 02 [TradingFinder] True Open Session 90 Min🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system built on ICT (Inner Circle Trader) concepts and fractal time. It divides time into four quarters (Q1, Q2, Q3, Q4), and is designed based on the consistent repetition of these phases across all trading timeframes (annual, monthly, weekly, daily, and even shorter trading sessions).
Each cycle consists of four distinct phases: the first phase (Q1) is the Accumulation phase, characterized by price consolidation; the second phase (Q2), known as Manipulation or Judas Swing, is marked by initial false movements indicating a potential shift; the third phase (Q3) is Distribution, where price volatility peaks; and the fourth phase (Q4) is Continuation/Reversal, determining whether the previous trend continues or reverses.
🔵 How to Use
The central concept of this strategy is the "True Open," which refers to the actual starting point of each time cycle. The True Open is typically defined at the beginning of the second phase (Q2) of each cycle. Prices trading above or below the True Open serve as a benchmark for predicting the market's potential direction and guiding trading decisions.
The practical application of the Quarterly Theory strategy relies on accurately identifying True Open points across various timeframes.
True Open points are defined as follows :
Yearly Cycle :
Q1: January, February, March
Q2: April, May, June (True Open: April Monthly Open)
Q3: July, August, September
Q4: October, November, December
Monthly Cycle :
Q1: First Monday of the month
Q2: Second Monday of the month (True Open: Daily Candle Open price on the second Monday)
Q3: Third Monday of the month
Q4: Fourth Monday of the month
Weekly Cycle :
Q1: Monday
Q2: Tuesday (True Open: Daily Candle Open Price on Tuesday)
Q3: Wednesday
Q4: Thursday
Daily Cycle :
Q1: 18:00 - 00:00 (Asian session)
Q2: 00:00 - 06:00 (True Open: Start of London Session)
Q3: 06:00 - 12:00 (NY AM)
Q4: 12:00 - 18:00 (NY PM)
90 Min Asian Session :
Q1: 18:00 - 19:30
Q2: 19:30 - 21:00 (True Open at 19:30)
Q3: 21:00 - 22:30
Q4: 22:30 - 00:00
90 Min London Session :
Q1: 00:00 - 01:30
Q2: 01:30 - 03:00 (True Open at 01:30)
Q3: 03:00 - 04:30
Q4: 04:30 - 06:00
90 Min New York AM Session :
Q1: 06:00 - 07:30
Q2: 07:30 - 09:00 (True Open at 07:30)
Q3: 09:00 - 10:30
Q4: 10:30 - 12:00
90 Min New York PM Session :
Q1: 12:00 - 13:30
Q2: 13:30 - 15:00 (True Open at 13:30)
Q3: 15:00 - 16:30
Q4: 16:30 - 18:00
Micro Cycle (22.5-Minute Quarters) : Each 90-minute quarter is further divided into four 22.5-minute sub-segments (Micro Sessions).
True Opens in these sessions are defined as follows :
Asian Micro Session :
True Session Open : 19:30 - 19:52:30
London Micro Session :
T rue Session Open : 01:30 - 01:52:30
New York AM Micro Session :
True Session Open : 07:30 - 07:52:30
New York PM Micro Session :
True Session Open : 13:30 - 13:52:30
By accurately identifying these True Open points across various timeframes, traders can effectively forecast the market direction, analyze price movements in detail, and optimize their trading positions. Prices trading above or below these key levels serve as critical benchmarks for determining market direction and making informed trading decisions.
🔵 Setting
Show True Range : Enable or disable the display of the True Range on the chart, including the option to customize the color.
Extend True Range Line : Choose how to extend the True Range line on the chart, with the following options:
None: No line extension
Right: Extend the line to the right
Left: Extend the line to the left
Both: Extend the line in both directions (left and right)
Show Table : Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info : Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
The Quarterly Theory ICT, by dividing time into four distinct quarters (Q1, Q2, Q3, and Q4) and emphasizing the concept of the True Open, provides a structured and repeatable framework for analyzing price action across multiple time frames.
The consistent repetition of phases—Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal—allows traders to effectively identify recurring price patterns and critical market turning points. Utilizing the True Open as a benchmark, traders can more accurately determine potential directional bias, optimize trade entries and exits, and manage risk effectively.
By incorporating principles of ICT (Inner Circle Trader) and fractal time, this strategy enhances market forecasting accuracy across annual, monthly, weekly, daily, and shorter trading sessions. This systematic approach helps traders gain deeper insight into market structure and confidently execute informed trading decisions.
Avi - Trendlines EnhancedDeveloped from open-source code by © pikusov (Diagonal Supports and Resistances), this indicator provides traders with a robust and visually intuitive method to identify and monitor key support and resistance levels. Its ability to check for multiple test touches, combined with dynamic updates, customizable visuals, and integrated alert systems, makes it an effective tool for comprehensive technical market analysis.
This advanced TradingView Pine Script indicator dynamically detects and draws support and resistance trendlines based on historical pivot points while also checking for multiple test touches. Here’s a detailed summary of its functionality:
Customizable Trendline Detection:
Historical Analysis: Users specify the number of historical bars to examine for identifying pivot points, enabling a deep scan for reliable support and resistance levels.
Pivot Lookback Settings: The primary pivot lookback period (x1) is user-defined, with a secondary period (x2) calculated as half of x1, allowing the indicator to capture both local lows and highs accurately.
Dynamic Trendline Construction and Multiple Test Validation:
Iterative Pivot Pairing: The script uses nested loops to identify pairs of pivot points (lows for support, highs for resistance) and calculates an interpolated price along the line connecting these pivots.
Testing and Updating Trendlines:
The indicator continuously checks whether the price respects the drawn trendlines.
It verifies if the trendlines have been tested multiple times by iterating through historical bars, ensuring that the level holds up under repeated tests.
When a level is retested, the trendline is updated and a test counter is incremented, thereby reinforcing the significance of the support or resistance level.
Visual Customization Options:
Line Appearance: Users can tailor the trendlines with customizable thickness, dash patterns (solid, dotted, or dashed), and specific colors for support and resistance lines.
Label Settings: Labels display the precise price levels (and optionally the number of tests), with configurable sizes and styles, offering clear visual cues on the chart.
Alerting and Confirmation Mechanisms:
Breakout Alerts: The script triggers alerts when the price action breaches a trendline. It differentiates between standard alerts and those that are volume-confirmed—where the volume exceeds a set multiple of the average—thus minimizing false signals.
RSI-Based Bar Coloring: When enabled, the Relative Strength Index (RSI) is computed, and bars at trendline test points are color-coded (dark red for overbought and dark green for oversold conditions), providing immediate visual feedback on market momentum.
Supporting Analytical Tools:
Pivot Labels: The indicator can display pivot labels using built-in functions, marking key pivot highs and lows with their corresponding price values.
Moving Averages: Two customizable moving averages (fast and slow) can be plotted (using either SMA or EMA), helping to contextualize the trendlines within the broader market trend.
Efficient Object Management:
Array-Based Storage and Cleanup: Arrays are used to store drawn objects (lines and labels), and a cleanup routine ensures that outdated objects are removed with every new bar, keeping the chart clutter-free.
Helper Functions: Utility functions such as price_at for interpolating prices along the trendline and round_to_tick for rounding values enhance the script’s precision and usability.
MTF Round Level Reversal [RunRox]🧲 MTF Round Level Reversal is an indicator designed to highlight price levels on the chart where the market encountered significant resistance or support at round numbers, failing to break through large clusters of orders.
In many cases, price revisits these round-number levels to absorb the remaining liquidity, offering potential reversal or continuation trade opportunities.
✏️ EXAMPLE
Here’s an example demonstrating how this indicator works and how its logic is structured:
As shown in the screenshot above, price encountered resistance at round-number levels, clearly reacting off these areas.
Afterward, the market pulled back, presenting opportunities to enter trades targeting these previously established open levels.
This logic is based on the observation that price often seeks to revisit these open round-number levels due to the residual liquidity resting there.
While effective across various markets, this indicator performs particularly well with stocks or assets priced at higher values.
For a level to appear on the chart, price must first encounter a round-number value and clearly reverse from it, leaving a visible reaction on the chart. After this occurs, the indicator will mark this level as fully formed and display it as an active reversal area.
⚙️ SETTINGS
🔷 Timeframe – Choose any timeframe from which you’d like the indicator to source level data.
🔷 Period – Defines the number of candles required on both sides (left and right) to confirm and fully form a level.
🔷 Rounding Level – Adjusts price rounding precision when detecting levels (from 0.0001 up to 5000).
🔷 Color – Customize the color and transparency of displayed levels.
🔷 Line Style – Select the desired line style for level visualization.
🔷 Label Size – Set the font size for the level labels displayed on the chart.
🔷 Move Label to the Right – Move level labels to the right side of the screen for better visibility.
🔷 Label Offset – Specifies how many bars labels should be offset from the chart’s right edge.
🔷 Delete Filled Level – Automatically removes levels from the chart after they’ve been revisited or filled.
🔷 Calculation Bars – Determines the number of recent bars considered when calculating and identifying levels.
🔶 There are numerous ways to apply this indicator in your trading strategy. You can look for trades targeting these round-number levels or identify reversal setups forming at these high-liquidity zones. The key insight is understanding that these levels represent significant liquidity areas, which price frequently revisits and retests.
We greatly appreciate your feedback and suggestions to further improve and enhance this indicator!
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction
The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions.
Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend.
By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones.
With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis.
♦ Important Note :
This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved.
🔵 How to Use
The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner.
The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses.
This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open.
Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies.
🔵b]Settings
Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel.
Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.).
Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2).
Table Display Mode: Enables or disables the ability to display cycle information in a tabular format.
Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed.
Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle.
🔵 Conclusion
Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase.
The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames.
Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
Advanced RSI Cyclic (AcRSI)Advanced RSI Cyclic (cRSI)
Overview
The Advanced RSI Cyclic (cRSI) Indicator is a sophisticated momentum oscillator designed for TradingView, enhancing the traditional Relative Strength Index (RSI) with cyclic adjustments, advanced smoothing techniques, and dynamic bands. It aims to identify overbought/oversold conditions, trend reversals, and divergences in price action, making it ideal for traders targeting cyclic market movements.
Features
Kalman Filter Smoothing: Applies a Kalman filter to the closing price for noise reduction.
Cyclic RSI (cRSI): Adjusts traditional RSI with cyclic parameters and centers it around zero (-50 to +50).
Phi Smoothing: Uses a phi filter to smooth the cRSI, highlighting longer-term trends.
Dynamic Bands: Generates adaptive upper and lower bands based on historical volatility.
Signals: Provides buy/sell signals and divergence detection for potential reversals.
Visual Customization: Offers color-coded fills and adjustable transparency for bullish/bearish conditions.
How to Use
Interpreting the Indicator
Fast cRSI (Green Line): Represents the short-term, zero-lag smoothed cRSI. It reacts quickly to price changes.
Slow cRSI (Red Line): The phi-smoothed cRSI, showing longer-term momentum trends.
Dynamic Bands (Aqua Lines): Indicate overbought (upper band) and oversold (lower band) levels dynamically adjusted to market conditions.
Midline (White Circles): The midpoint between the bands, serving as a neutral reference.
Fill Colors:
Green fill between Fast and Slow cRSI suggests bullish momentum.
Red fill indicates bearish momentum.
Signals:
Blue Circles: Buy signals when cRSI crosses above the lower band or threshold.
Orange X’s: Sell signals when cRSI crosses below the upper band or threshold.
Divergences (optional): Enable to spot regular and hidden bullish/bearish divergences between price and cRSI.
Key Inputs and Customization
The indicator offers several adjustable parameters under the "Inputs" tab:
General Settings
Dominant Cycle Length (default: 20): Adjusts the cyclic period for RSI calculation. Increase for longer cycles, decrease for shorter ones.
Phi Filter Length (default: 20): Controls the smoothing period of the phi filter.
Phi Filter Speed (default: 3.7): Adjusts the responsiveness of the phi filter. Higher values increase sensitivity.
Pre-Smoothing Ratio (default: 0.7): Balances pre-smoothing in the phi filter (0.5–1.0).
Smoothing Length (default: 20): Sets the period for the SuperSmoother filter on the oscillator.
Threshold (default: 1): Defines the level for generating buy/sell signals.
Visualization Colors
Bullish/Bearish Fill Colors: Customize the fill colors for bullish (green) and bearish (red) conditions.
Fill Transparency: Adjusts opacity (0–100%) of the fill between Fast and Slow cRSI.
Divergence Colors: Modify colors for bullish (green) and bearish (red) divergence signals.
Divergence Settings
Enable Divergences (default: false): Toggle to display divergence signals.
Pivot Lookback Left/Right (default: 5): Sets the lookback period for detecting pivots.
Max/Min Lookback Range (default: 60/5): Defines the range for divergence detection.
Trading Strategies
Overbought/Oversold:
Buy when Fast cRSI crosses above the lower band and Slow cRSI confirms upward movement.
Sell when Fast cRSI crosses below the upper band and Slow cRSI confirms downward movement.
Trend Confirmation:
Use the fill color (green for bullish, red for bearish) to confirm trend direction.
Reversal Signals:
Look for buy signals (blue circles) below the threshold or sell signals (orange X’s) above the threshold.
Divergence Trading:
Enable divergences to identify potential reversals when price and cRSI diverge.
Notes
Timeframe: Works on all timeframes, but adjust the Dominant Cycle Length to match the chart’s periodicity (e.g., shorter for intraday, longer for daily).
Confirmation: Combine with price action or other indicators (e.g., moving averages) for stronger signals.
Performance: Test on historical data to optimize settings for your specific market or asset.
Limitations
May lag in fast-moving markets due to smoothing filters.
Dynamic bands adapt slowly in extreme volatility; monitor for false signals.
Divergence detection requires sufficient historical data for accuracy.
BarbellFX 2 in 1 ORB + Super Trend with signalsThis “BarbellFX 2 in 1 ORB + Super Trend with signals” indicator merges two powerful trading approaches into a single, customizable script:
1. Multi-Session Open Range Breakout (ORB)
• Automatically detects and plots the London and New York session ranges.
• Optionally displays session highs/lows with colored lines, highlights each session’s background, and plots an EMA for extra trend context.
• Detects and alerts on breakouts above/below session ranges.
• Provides an on-chart table showing session range size and breakout activity.
2. Barbell FX Super Trend System
• Utilizes multi-timeframe (4H, Daily, Weekly) EMA crossovers alongside an RSI and ATR-based volatility filter.
• Shows a simple dash of higher-timeframe trends (Bullish/Bearish) to confirm the overall market direction.
• Alerts and plots buy/sell signals on the chart based on 4H EMA crossovers, RSI conditions, and user-defined volatility thresholds.
• Option to filter signals further by requiring all three higher timeframes (4H, Daily, Weekly) to align.
Fully Customizable Toggles
• Global On/Off: Toggle each main component (ORB or Super Trend) individually.
• Session Lines, Backgrounds, EMA, Table: Enable or disable each visual element in the ORB section.
• Super Trend Settings: Show/hide 4H EMAs, signals, and the multi-timeframe trend dashboard.
• Alerts: Toggle breakout alerts for the ORB sessions and 4H buy/sell alerts for the Super Trend system.
This combination helps traders quickly spot intraday session breakouts that align with higher-timeframe momentum, all while keeping the chart clean via on/off switches for each feature.
FibLines and pivot pointsThis indicator integrates Fibonacci retracements and pivot points to identify potential support and resistance levels for trading decisions. The script calculates pivot points using standard formulas (Classic, Fibonacci, Woodie, or Camarilla) and overlays Fibonacci retracement levels based on recent price swings.
Key Features:
Pivot Points Calculation: Computes support and resistance levels using the chosen pivot formula.
Fibonacci Retracements: Automatically plots retracement levels from recent highs and lows.
Confluence Zones: Highlights areas where Fibonacci levels align with pivot points for stronger signals.
Customization: Allows traders to select different pivot types, timeframes, and Fibonacci settings.
Alerts & Signals: Generates alerts when price approaches a significant confluence zone.
How It Works:
Detects recent highs and lows for Fibonacci retracement calculation.
Computes pivot points and their support/resistance levels.
Identifies key Fibonacci levels (e.g., 23.6%, 38.2%, 50%, 61.8%, 78.6%).
Plots both sets of levels on the chart, highlighting overlapping zones.
Provides visual signals & alerts when price interacts with these levels.
This indicator helps traders spot potential reversal or breakout areas by leveraging the strength of both Fibonacci and pivot points.
Central Pivot Rangeprevious, current and future TF CPR.
The Central Pivot Range (CPR) is a technical indicator that helps traders identify potential support and resistance levels in the stock market. It's used to make trading decisions, such as entry and exit points.
Multi-Filter Momentum OscillatorMulti-Filter Momentum Oscillator
Description
The Multi-Filter Momentum Oscillator is an advanced technical indicator that leverages multiple moving average filters to identify trend strength, momentum shifts, and potential reversal points in price action. This indicator combines a cluster-based approach with momentum analysis to provide traders with a comprehensive view of market conditions.
Key Components
Filter Cluster Analysis: The indicator creates an array of moving averages with different periods using your choice of filter (PhiSmoother, EMA, DEMA, TEMA, WMA, or SMA). These filters form a cluster that helps identify the underlying trend direction.
Composite Score: The relative positions of these filters are analyzed to generate a net score, which represents the overall trend strength and direction.
Signal Line: A smoothed version of the composite score that helps identify momentum shifts.
Four-Color Histogram: Visualizes the relationship between the score and signal line with four distinct colors:
Bright Green (Bullish Rising): Positive momentum that is accelerating
Olive Green (Bullish Falling): Positive momentum that is decelerating
Dark Red (Bearish Rising): Negative momentum that is improving
Bright Red (Bearish Falling): Negative momentum that is worsening
LazyLine Overlay: An additional triple-smoothed WMA that can be displayed on the price chart to visualize the dominant trend.
Trading Applications
Trend Direction: The oscillator's position above or below zero indicates the prevailing trend direction.
Momentum Shifts: The histogram's color changes signal momentum shifts before they become apparent in price.
Divergence Detection: Compare oscillator peaks/troughs with price action to identify potential divergences.
Overbought/Oversold Conditions: Extreme readings near the upper and lower threshold levels can indicate potential reversal zones.
Trend Confirmation: The LazyLine overlay confirms the broader trend direction on the price chart.
Customization Options
The indicator offers extensive customization through multiple parameters:
Filter type selection (PhiSmoother, EMA, DEMA, TEMA, WMA, SMA)
Cluster dispersion and trim settings
Post-smoothing options
Signal line parameters
Threshold levels
Color preferences for various elements
Histogram width and visibility
Optional swing signals with customizable placement
Modes
Trend Strength Mode: Focuses on the directional movement of the filter cluster.
Volatility Mode: Weights the score based on the bandwidth of the filter cluster, making it more responsive during volatile periods.
This versatile oscillator combines elements of trend following, momentum analysis, and volatility assessment to provide traders with actionable signals across different market conditions. The four-color histogram adds another dimension to traditional oscillator analysis by visually representing both the direction and strength of momentum shifts.
MTF TTM Squeeze Pro/*
Multi-Timeframe TTM Squeeze Pro Indicator
Description:
The "Multi-Timeframe TTM Squeeze Pro" indicator is designed to help traders identify market squeezes and momentum shifts across custom time frames.
It uses Bollinger Bands, Keltner Channels, and a Momentum Oscillator to provide visual cues for trading opportunities.
Key Features:
- Displays squeeze conditions: No Squeeze (Green), Low Compression (Black), Medium Compression (Red), High Compression (Orange).
- Analyzes momentum direction and strength with color-coded histograms.
- Monitors multiple custom time frames: 15m, 30m, 55m, 78m, 195m, 1 Day, and 1 Week.
- Suitable for swing traders and day traders looking for precise entry and exit signals.
How to Use:
- Look for squeezes turning green to signal potential breakouts.
- Follow momentum histogram colors to gauge market sentiment and strength.
- Combine with other technical analysis tools for better decision-making.
Ideal For:
- Swing trading and day trading strategies.
- Detecting consolidation phases before potential volatility expansions.
- Analyzing market momentum across different time frames.
Tags:
#TTMSqueeze #MultiTimeframe #Momentum #TradingViewScript #SqueezePro #DayTrading #SwingTrading
*/
Avi - TablesThe "Avi - Tables" indicator is a comprehensive tool designed to display a wealth of technical information directly on your TradingView chart using dynamic tables and visual elements. It combines multiple analysis techniques and multi-timeframe metrics into an easy-to-read layout. Key features include:
Moving Averages & VWMA:
The indicator calculates up to six user-configurable moving averages (with options for both SMA and EMA) and a 20-period Volume-Weighted Moving Average (VWMA). It plots these averages on the chart and computes the percentage difference between the current price and each moving average. It also checks if the price has touched these levels.
ATR and Volatility:
A 14-period Average True Range (ATR) is calculated and expressed as a percentage of the close price, providing a measure of market volatility.
Volume Analysis:
Using daily volume data and a user-defined volume period, the indicator computes the relative volume (RVOL) as a multiple compared to the average volume. It estimates the full-day volume based on the elapsed trading day and compares it with the previous day’s volume, applying conditional formatting based on these comparisons.
Pressure Metrics:
The script calculates buyer and seller pressure based on price movement and volume, determining the dominant pressure (BP or SP) and displaying the result with corresponding color cues.
Multi-Timeframe Analysis Table:
Users can select various timeframes (15-min, 1-hour, 4-hour, daily, weekly, and monthly) for additional indicators such as MACD, ADX, CCI, and RSI. Each timeframe’s data is displayed in a dedicated table cell, with colors and text dynamically indicating bullish, bearish, or neutral conditions.
Customizable Tables & Layout:
The indicator provides several inputs for table positioning, text size, and layout options—including an option to flip the table rows and columns—allowing you to customize the display to best suit your chart and analysis needs.
Pivot Points & Gap Analysis:
Beyond the tables, the script includes functionality for detecting pivot highs and lows as well as identifying chart gaps. It draws labels for pivot points and, in an optional section, detects and manages gaps (with partial or full closures) and triggers alerts when new gaps appear or are closed.
Overall, "Avi - Tables" is designed to deliver a multi-layered view of the market —from moving averages and volatility to volume dynamics and multi-timeframe indicator signals—all organized neatly into customizable tables. This makes it a powerful resource for traders seeking an integrated and visually intuitive technical analysis tool.
Global M2 Money Supply (Days Offset)The Global M2 Money Supply indicator, updated by Colin Talks Crypto on March 2, 2025, and modified by Grok (xAI), is a TradingView Pine Script (v6) tool designed to visualize the aggregated M2 money supply from key global regions, overlaid on a price chart (e.g., BTCUSD) with a right-axis scale. It aggregates daily M2 data from regions including North America, Eurozone, Asia, and others, adjusted with forex rates (e.g., EURUSD, JPYUSD), and scales the total to billions for readability. Users can adjust the time offset (default 76 days, range -1000 to 1000) to align M2 with Bitcoin price movements, reflecting lags of 70–76 days as noted in market analyses. Additionally, a customizable smoothing period (default 20 days, range 1 to 100) applies a Simple Moving Average (SMA) to reduce noise, highlighting longer-term trends. A debug plot of raw M2 data (gray line) aids in verifying data integrity, making this indicator a valuable tool for crypto traders analyzing liquidity impacts on price action.
[GrandAlgo] Liquidity Pivot Cloud - LPCLiquidity Pivot Cloud (LPC) is a visualization tool that extends all pivot levels to the right, creating a structured liquidity map across the chart. Instead of treating pivot points as static levels, LPC transforms them into a dynamic cloud, highlighting key areas where price has historically reacted.
Key Features:
Extended Pivot Levels – Automatically stretches all pivot highs and lows, forming a continuous liquidity zone.
Clear Structure – Provides an organized view of price action, making it easy to identify reaction zones.
Dynamic Liquidity Map – Helps traders spot potential liquidity sweeps and areas of price absorption.
How to Use:
Identify Liquidity Zones – Areas with multiple overlapping pivots signal strong liquidity pools.
Look for Reactions – Price often consolidates, wicks, or reverses around extended pivot clouds.
Combine with Confluence – Use alongside Fair Value Gaps, Institutional Price Blocks, or Market Structure shifts for higher probability setups.
LPC aligns with smart money concepts by revealing key liquidity areas where stop hunts, liquidity grabs, and institutional activity are likely to occur. It helps traders see where price is likely to be drawn before a major move, making it a valuable tool for those trading liquidity-based strategies.
Volume Delta Risk ReversalThis ndicator tracks session-based volume delta and displays it in a lower chart panel
