Cumulative New Highs - New Lows IndicatorThis indicator is designed to track market momentum by calculating and plotting the cumulative sum of 52 weeks High-Low for different indices, alongside a customizable moving average.
Index Selection:
Users can choose from multiple indices, including:
Total Stock Market (default)
NYSE Composite
Nasdaq Composite
S&P 500
Nasdaq 100
Russell 2000
Moving Average Customization:
The script allows you to select between a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) for smoothing the cumulative data. The window length of the moving average is also adjustable, letting you tailor the sensitivity of the trend analysis.
Dynamic Background Plotting:
With the background plot option enabled, the indicator changes the chart's background color dynamically:
Green: When the cumulative sum is above its moving average, suggesting bullish momentum.
Red: When it is below the moving average, indicating bearish conditions.
Visual Representation:
Two key lines are plotted:
Cumulative Index Line: Displayed in a subtle blue, representing the aggregated market movement.
Moving Average Line: Shown in an orange tone, offering a smoothed perspective that aids in identifying trend shifts.
Inspiration:
I took inspiration from the indicator made by YoxTrades (I can't put links, but you can check their profile) and added a few features I wanted on top of it.
Penunjuk dan strategi
Consolidation Zones [ActiveQuants]The Consolidation Zones indicator is an innovative tool designed to help traders pinpoint periods of low volatility and market balance . By dynamically plotting zones where price action remains confined within an ATR-defined range around a simple moving average (SMA), this indicator highlights periods of consolidation that often precede breakouts or reversals .
█ KEY FEATURES
Dynamic Zone Detection : Automatically identifies consolidation zones when the price remains within a tight range defined by the SMA and ATR over a specified number of bars, signaling balanced market conditions.
Customizable Parameters : Adjust key inputs such as Minimum Zone Length , ATR Length , the number of bars to display, and zone color, enabling you to tailor the indicator to various market conditions and trading styles.
Automated Zone Management : Efficiently plots consolidation zones and cleans up older ones to maintain a clear and focused chart, ensuring you always have an up-to-date view of recent market behavior.
Enhanced Market Analysis : By visualizing areas of price stability, the indicator aids in spotting potential breakout or reversal points, which can be critical for fine-tuning entry and exit strategies.
█ CONCLUSION
The Consolidation Zones indicator is an essential tool for traders who value volatility analysis and precision timing. By marking key periods of price consolidation, it enhances your market analysis, helping you anticipate potential moves and refine your trading strategy.
█ IMPORTANT
⚠ Consolidation signals should be used alongside other technical indicators or analysis techniques such as trend lines, support/resistance levels, or volume to confirm trading decisions.
⚠ Adjust the indicator’s settings based on your preferred timeframe and asset class to achieve the best results.
█ RISK DISCLAIMER
Trading involves significant risk, and you may lose capital. Past performance is not indicative of future results. This tool provides informational signals only and does not constitute financial advice. Use it at your own risk and consult a qualified financial professional before making trading decisions.
Incorporate this indicator into your trading workflow to improve market timing and optimize your entry and exit strategies.
📈 Happy trading! 🚀
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.
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!
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.
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.
Dynamic Timeframe Trend AnalyzerPurpose and Core Logic
This indicator automatically adjusts its calculations based on the current chart’s timeframe, allowing traders to analyze trends, momentum, and mean reversion opportunities without manually changing indicator settings for each interval. It detects potential long or short setups by combining several techniques:
Dynamic Timeframe Factor
The script compares the current timeframe to a base (e.g., 5 minutes) and calculates a “factor” to scale certain parameters, such as EMA lengths or ATR settings. This reduces the need to reconfigure indicators when switching timeframes.
Regime Detection
It uses ADX (Average Directional Index) to classify the market as strongly trending, moderately trending, choppy, or in a potential mean-reversion phase.
RSI (Relative Strength Index) is also monitored for extreme levels (e.g., overbought/oversold) to detect potential reversal zones.
Volume is compared to a moving average to confirm or refute volatility conditions.
Trend & Mean Reversion Signals
EMA Alignment (8/21/55) helps identify bullish or bearish phases (strong bull if all EMAs align upward, strong bear if aligned downward).
For mean reversion opportunities, the script checks if ADX is sufficiently low (indicating weak or no trend) while price and RSI are at extreme levels—suggesting a snapback or countertrend move may occur.
Dynamic Stop Loss & Take Profit
Uses ATR (Average True Range) to set initial stop-loss (SL) and take-profit (TP) levels, then adjusts these levels further with “regime multipliers” based on whether the market is in a high-volatility trend or a quieter mean-reversion environment.
This approach aims to place stops and targets in a more adaptive way, reflecting current market conditions rather than a one-size-fits-all approach.
Visual Aids
Color-coded chart backgrounds (e.g., greenish for bullish trend, red for bearish, yellow/orange for mean reversion).
Triangles to show recent bullish/bearish signals.
A status table in the top-right corner (optional) displaying key metrics like ADX, RSI, dynamic thresholds, current SL/TP levels, and whether a stop loss has been hit.
How It Works Internally
ADX & Dynamic Thresholds:
A moving average (adx_mean) and standard deviation (adx_std) of the ADX are calculated over a lookback period to define “strong” vs. “weak” ADX thresholds.
This allows the script to adapt to changing volatility and trend strength in different markets or timeframes.
Mean Reversion Criteria:
The indicator checks if price deviates significantly from its own moving average, alongside RSI extremes. If ADX suggests no strong directional push (i.e., the market is “quiet”), it may classify conditions as mean-reverting.
Regime Multipliers:
Once the script identifies the market regime (e.g., strong uptrend, choppy, mean reversion), it applies different multipliers to the user-defined base values for stop-loss and take-profit. For instance, strong trending conditions might allow for wider stops to handle volatility, while mean reversion signals use tighter exits to capture quick reversals.
How to Use It
Timeframe Agnostic
Simply apply it to any timeframe (from 1-minute up to daily or weekly). The “Dynamic Timeframe Factor” will scale the indicator parameters automatically.
Look for Buy/Sell Triangles
When the script detects a valid bullish trend shift or a mean-reversion long setup, it plots a green triangle under the price bar. Conversely, it plots a red triangle above the price bar for bearish or mean-reversion short setups.
Check the Status Table
The table in the top-right corner summarizes the indicator’s current readings: ADX, RSI, volume trends, and the market regime classification.
The table also shows if a stop loss has been hit (SL Hit) and displays recommended SL/TP levels if a signal is active.
Stop Loss & Take Profit
The script plots lines for SL and TP on your chart after a new signal. These lines are automatically adjusted based on ATR, volume conditions, and ADX-derived multipliers.
Mean Reversion vs. Trend-Following
If you see a “Mean Rev” state in the table or the background turning yellow/orange, it suggests potential countertrend trades. Conversely, “STRONG BULL” or “STRONG BEAR” states favor momentum-based entries in the prevailing direction.
Originality & Benefits
Adaptive to Timeframe: Many indicators require reconfiguration when switching from short to long timeframes. This script automates that process using the “timeframe factor” logic.
Regime-Based SL/TP: Instead of fixed risk parameters, the script dynamically tunes stop and target levels depending on whether the market is trending or reverting.
Comprehensive Market View: It combines multiple factors—ADX, RSI, volume, moving averages, and volatility measurements—into a single, integrated framework that categorizes the market regime in real time.
Best Practices & Notes
Timeframes: It typically performs well on intraday timeframes (5m, 15m, 1H) but can also be used for swing trading on 4H or Daily charts.
Settings: The defaults are a good starting point, but you can adjust the base ATR multiplier or ADX lookbacks if you prefer a different balance between sensitivity and stability.
Risk Management: This indicator is not a guarantee of any specific results. Always use proper risk management (position sizing, stop-losses, and diversified strategies).
Alert Conditions: Built-in alert conditions can notify you when a new long or short signal appears, or when a stop loss is triggered.
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.
ID 10 Second BarsEnters numbers 1, 3 and 5 under the appropriate bars on the 10 second chart and permits you to adjust the colors of each number.
Chaikin Money Flow with EnhancementsThis enhanced version of the Chaikin Money Flow (CMF) indicator is designed to help traders better understand market sentiment by visualizing momentum shifts and trends based on volume-weighted accumulation and distribution.
CMF Calculation: The CMF line is calculated using the typical CMF formula, which compares the close price to the high/low range, weighted by volume.
Fading Color Zones: Green and red fading zones are added between the CMF line and the zero line. Green represents bullish momentum (CMF above zero), and red represents bearish momentum (CMF below zero). These zones highlight key shifts in market sentiment.
Cross Detection: The indicator detects when the CMF crosses above or below the zero line, signaling potential trend changes. The price and CMF values at the time of the cross are stored and can be used for further analysis.
Average Line: A configurable moving average of the CMF is plotted to provide a smoothed trendline, helping traders identify the overall direction of market sentiment.
This indicator is ideal for traders who want to enhance their technical analysis by incorporating volume-weighted momentum indicators and identifying trend reversals more clearly.
[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.
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.
TMA StrategyThe **TMA Strategy** is a trend-following strategy that leverages **Smoothed Moving Averages (SMMA)** and **candlestick patterns** to identify high-probability trading opportunities. It is designed for traders who want to capture strong trends while minimizing noise from short-term fluctuations.
**Key Features:**
✔ **Multiple Smoothed Moving Averages (SMMA):** Uses 21, 50, 100, and 200-period SMMAs to identify market trends and key support/resistance zones.
✔ **Candlestick Pattern Confirmation:** Incorporates **3-line strike** and **engulfing candle** patterns to confirm trade entries.
✔ **Dynamic Trend Filter:** A **2-period EMA** ensures that trades align with the dominant trend, reducing false signals.
✔ **Customizable Session Filter:** Allows users to enable/disable trading within specific market sessions (New York, London, Tokyo, etc.), ensuring trades are executed only during high-liquidity hours.
✔ **Risk Management:** Uses predefined exit conditions based on EMA/SMMA crossovers to lock in profits and minimize losses.
**Trading Logic:**
📌 **Long Entry:**
- Bullish Engulfing or 3-Line Strike pattern appears.
- Price is above the 200 SMMA.
- 2 EMA confirms an uptrend.
- Trade executes if session filter allows.
📌 **Short Entry:**
- Bearish Engulfing or 3-Line Strike pattern appears.
- Price is below the 200 SMMA.
- 2 EMA confirms a downtrend.
- Trade executes if session filter allows.
📌 **Exit Conditions:**
- Long trades exit when EMA(2) crosses **below** SMMA(200).
- Short trades exit when EMA(2) crosses **above** SMMA(200).
**Ideal Markets & Timeframes:**
✅ Best suited for **Forex, Stocks, and Crypto** markets.
✅ Works well on **higher timeframes (15m, 1H, 4H, Daily)** for stronger trend confirmation.
📢 **Disclaimer:**
This strategy is for educational purposes only. Backtest results do not guarantee future performance. Always use proper risk management and test in a demo account before live trading.
🚀 **Try the TMA Strategy now and enhance your trend-following approach!**
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.
ST -Dashboard Volume MTF , [Sese04]User Guide: ST - Dashboard Volume MTF
Introduction
This script displays a multi-timeframe (MTF) volume dashboard, tracking buy and sell volumes and the moving averages of volume. It is designed for traders using ICT (Inner Circle Trader) and SMC (Smart Money Concepts) to quickly visualize market dynamics across multiple timeframes.
Settings and Features
📌 User Inputs
Customizable settings allow traders to adjust the dashboard display and volume moving averages.
Volume Display per Timeframe
show_vol_1m: Show volume for 1-minute chart.
show_vol_5m: Show volume for 5-minute chart.
show_vol_15m: Show volume for 15-minute chart.
show_vol_1h: Show volume for 1-hour chart.
show_vol_4h: Show volume for 4-hour chart.
show_vol_1d: Show volume for 1-day chart.
Volume Moving Average Settings
ma_length_short: Length of the short-term moving average (default 5 periods).
ma_length_long: Length of the long-term moving average (default 14 periods).
Dashboard Customization
dashboard_position: Dashboard position (Bottom Right, Bottom Left, Top Right, Top Left).
text_color: Text color for the dashboard.
text_size: Text size (small, normal, large).
How the Script Works
🔹 1. Calculating Buy and Sell Volume
The calculate_buy_sell function separates buy and sell volume based on the candle's open and close price:
If the closing price is higher than the opening price → Buy volume 📈.
If the closing price is lower or equal to the opening price → Sell volume 📉.
🔹 2. Retrieving Volume Data Across Multiple Timeframes
The function get_volumes collects buy and sell volume data for different timeframes using request.security().
The available timeframes are: 1m, 5m, 15m, 1h, 4h, and 1d.
🔹 3. Calculating Volume Moving Averages
The script uses ta.sma() to compute moving averages for volume trends:
ma_vol_short: Short-term moving average (e.g., 5 periods).
ma_vol_long: Long-term moving average (e.g., 14 periods).
🔹 4. Creating and Displaying the Dashboard
A table (table.new()) is generated at the last bar (barstate.islast) to display the volume data:
A title “📊 Volume Dashboard (Buy vs Sell)” in purple.
Column headers:
TIMEFRAME (e.g., 1M, 5M, 15M, 1H, 4H, 1D).
BUY VOLUME (dark blue).
SELL VOLUME (dark red).
Buy and Sell Volume values are displayed in their respective cells for easy reading.
How to Use This Script on TradingView?
Adding the Script
Open TradingView.
Go to Pine Editor and paste the script.
Click "Add to Chart".
Configuring the Settings
Open the indicator settings.
Enable/disable the desired timeframes.
Adjust the moving average lengths if necessary.
Interpreting the Data
Increasing buy volume across timeframes may indicate bullish momentum.
Rising sell volume suggests a bearish reversal.
Crossovers of volume moving averages can help detect market shifts.
Conclusion
This script is a powerful tool for analyzing volume dynamics across multiple timeframes. It provides a quick overview of the balance between buyers and sellers, essential for ICT scalping and liquidity-based trading.
🚀 Pro Tip: Combine this dashboard with other SMC indicators (engulfing candles, pivot points) to refine your trading decisions.
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.
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.
[TehThomas] - ICT Volume ImbalanceThis script is a Volume Imbalance (VI) detector and visualizer for use on the TradingView platform. The goal of the script is to automatically identify areas where there are significant imbalances in the volume of trades between consecutive candlesticks and visually highlight these areas. These imbalances can provide traders with valuable insights about the market’s current condition, often signaling potential reversal or continuation points based on price and volume action.
ICT (Inner Circle Trader) Concept of Volume Imbalances
Volume imbalances are a critical concept in the ICT trading methodology. They refer to situations where there is an unusual or significant difference in volume between two consecutive candlesticks, which might indicate institutional or large player activity. According to ICT principles, these imbalances can show us areas of market inefficiency or potential price manipulation. By identifying these imbalances, traders can gain an edge in understanding where the market is likely to move next.
Bullish and Bearish Volume Imbalances:
Bullish Volume Imbalance: This occurs when there is a strong increase in buying pressure, typically indicated by a higher volume on a candle that closes significantly above the previous one, often leaving a gap or larger price movement. The market could be preparing to push higher, and the volume shows a clear shift in buying demand.
Bearish Volume Imbalance:
Conversely, a bearish imbalance occurs when there is a strong increase in selling pressure, typically signaled by a candle that closes significantly lower than the previous one, again with higher volume. This could indicate that large players are offloading positions, and the price is likely to drop further.
Key Features and Functions of the Script
The script automates the process of detecting these volume imbalances and visually marking them on a price chart. Let’s explore its functionality in detail.
1. Inputs Section
The script allows for significant customization through its input options, which help traders adjust the detection and visualization of volume imbalances based on their individual preferences and trading style. Below are the details:
lookback (250 bars): This input specifies the number of bars (or candles) the script should look back when analyzing the volume imbalance. By setting this to 250, the user is looking at the last 250 bars on the chart to detect any significant volume imbalances. This period is adjustable between 50 to 500 bars.
volumeThreshold (1.0 multiplier): This input helps set the sensitivity for identifying volume imbalances. The script compares the volume of the current candle with the previous one, and if the current volume exceeds the previous volume by this threshold multiplier (in this case, 1.0 means at least equal to the previous volume), then it triggers an imbalance. Users can adjust the multiplier to suit different market conditions.
showBoxes (true/false): This toggle determines whether the boxes representing volume imbalances are drawn on the chart. When enabled, the script visually highlights the imbalances with colored boxes.
fillBaseColor (orange with 80% opacity): This is the color setting for the background of the imbalance boxes. A softer color (like orange with opacity) ensures the imbalance is highlighted without obscuring the price action.
borderColor (gray): The color of the border around the imbalance boxes. This adds a visual distinction to make the imbalance areas more visible.
borderWidth (1 pixel): This controls the width of the box's border to adjust how prominent it appears.
rightOffset (30 bars): This input controls how far the imbalance box extends to the right on the chart. It helps users anticipate the potential continuation of the imbalance beyond the current candle.
allowWickOverlap (true/false): This setting allows imbalances to be identified even if the wicks of the two consecutive candlesticks overlap. If set to false, only imbalances where the bodies of the candlesticks don’t overlap are considered.
showBrokenBoxes (true/false): If enabled, once a volume imbalance no longer holds true (i.e., the price breaks through the box), the box is marked as "broken." If disabled, the box is deleted when the imbalance condition no longer applies.
brokenBoxColor (red): This controls the color of the box when it is broken, which can be used as a visual cue that the imbalance was invalidated or no longer valid for analysis.
2. Volume Imbalance Function
This is the core function of the script, where the logic to detect bullish and bearish volume imbalances is implemented.
Bullish Imbalance Condition:
The first condition checks if the low of the current candle is greater than the high of the previous candle. This suggests that the market is moving upward with buying pressure.
The second condition checks whether the volume of the current candle is higher than the previous candle by the volumeThreshold multiplier. If both conditions are satisfied, a bullish imbalance is detected.
Bearish Imbalance Condition:
The first condition checks if the high of the current candle is lower than the low of the previous candle. This suggests downward price action with selling pressure.
The second condition checks whether the current volume exceeds the previous volume by the threshold
Allow Wick Overlap: If allowWickOverlap is set to true, the script will still detect imbalances if the wicks of the two candles overlap (common in volatile markets). If false, imbalances are only considered if the wicks do not overlap.
3. Box Creation and Management
When a volume imbalance is detected, the script creates a box on the chart:
The bullish imbalance box is drawn using the minimum of the open and close of the current bar as the top boundary and the maximum of the open and close of the previous bar as the bottom boundary.
Conversely, the bearish imbalance box is drawn in reverse, using the maximum of the current bar’s open and close as the top boundary and the minimum of the previous bar’s open and close as the bottom boundary.
Once the box is created, it is displayed on the chart with the specified background color, border color, and width.
4. Processing Existing Boxes
After detecting a new imbalance and drawing a box, the script checks whether the box should still remain on the chart:
If the price moves beyond the boundaries of the imbalance box, the box is marked as broken (if showBrokenBoxes is enabled), and its color is changed to red, signifying that the imbalance is no longer valid.
If the box remains intact (i.e., the price has not broken the defined boundaries), the script keeps the box extended to the right as the market continues to evolve.
5. Removing Outdated Boxes
Lastly, the script removes boxes that are older than the specified lookback period. For example, if a box was created 250 bars ago, it will be deleted after that period. This ensures the chart stays clean and only focuses on relevant imbalances.
Why This Script is Useful for Traders
This script is extremely valuable for traders, especially those following the ICT methodology, because it automates the process of detecting market inefficiencies or imbalances that might signal future price action. Here’s why it’s particularly useful:
Identifying Key Areas of Interest: Volume imbalances often point to areas where institutional or large-scale traders have entered the market. These areas could provide clues about the next significant move in the market.
Visualizing Market Structure: By automatically drawing boxes around volume imbalances, the script helps traders visually identify potential areas of support, resistance, or turning points, enabling them to make informed trading decisions.
Time Efficiency: Instead of manually analyzing each candlestick and volume spike, this script does the heavy lifting, saving traders valuable time and allowing them to focus on other aspects of their strategy.
Enhanced Trade Entries and Exits: By understanding where volume imbalances are occurring, traders can time their entries (buying during bullish imbalances and selling during bearish ones) and exits (as imbalances break) more effectively, thus improving their chances of success.
Conclusion
In summary, this script is a powerful tool for traders looking to implement volume imbalance strategies based on the ICT methodology. It automates the identification and visualization of significant imbalances in price and volume, offering traders a clear visual representation of potential market turning points. By customizing the settings, traders can tailor the script to their preferred timeframes and sensitivity, making it a flexible and effective tool for any trading strategy.
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GSD by MATAGSD by MATA - Gold-Sensitive Divergence Indicator
Overview:
The GSD by MATA indicator is designed to analyze the inverse correlation between an instrument’s price movement and gold (XAU/USD) over a selected time period. It helps traders identify whether the instrument tends to move in the opposite direction of gold, providing insights into potential hedging opportunities or market sentiment shifts.
How It Works:
User-Defined Time Period:
The user selects a time frame for comparison (1 Day, 1 Week, 1 Month, 3 Months, 6 Months, or 12 Months).
The indicator calculates the percentage change in both the instrument’s price and gold price over this period.
Inverse Movement Calculation:
If gold increases and the instrument decreases, the indicator registers a negative inverse change.
If gold decreases and the instrument increases, the indicator registers a positive inverse change.
If both move in the same direction, no inverse movement is recorded.
Cumulative Tracking:
The Reverse Change line shows the instant inverse movement.
The Total Change line accumulates the inverse movements over time, helping traders spot trends and long-term divergences.
How to Use:
A rising Total Change line (green) suggests that the instrument frequently moves in the opposite direction of gold, indicating a possible hedge effect.
A falling Total Change line (red) means the instrument has been moving in sync with gold rather than diverging.
The 0 reference line helps identify whether the cumulative effect is positive or negative over time.
VIX:VIX3M RatioThe VIX/VIX3M Ratio indicator compares the short-term (1-month) volatility index (VIX) to the medium-term (3-month) volatility index (VIX3M). This ratio provides insights into the market's volatility expectations across different time horizons.
Key Interpretations:
Ratio > 1: Short-term volatility expectations are higher than 3-month expectations
Ratio = 1: Short-term and medium-term volatility expectations are aligned
Ratio < 1: Medium-term volatility expectations are higher than short-term expectations
Potential Trading Insights:
A rising ratio may indicate increasing near-term market uncertainty
Significant deviations from 1.0 can signal potential market stress or changing risk perceptions
Traders use this to gauge the term structure of market volatility
Chart Box Session Indicator [The Quant Science]This indicator allows highlighting specific time sessions within a chart by creating colored boxes to represent the price range of the selected session. Is an advanced and flexible tool for chart segmenting trading sessions. Thanks to its extensive customization options and advanced visualization features, it allows traders to gain a clear representation of key market areas based on chosen time intervals.
The indicator offers two range calculation modes:
Body to Body: considers the range between the opening and closing price.
Wick to Wick: considers the range between the session's low and high.
Body To Body
Wick to Wick
Key Features
1. Session Configuration
- Users can select the time range of the session of interest.
- Option to choose the day of the week for the calculation.
- Supports UTC timezone selection to correctly align data.
2. Customizable Visualization
- Option to display session price lines.
- Ability to show a central price line.
- Extension of session lines beyond the specified duration.
3. Design Display Configuration
- Three different background configurations to suit light and dark themes.
- Two gradient modes for session coloring:
- Centered: the color is evenly distributed.
- Off-Centered: the gradient is asymmetrical.
How It Works
The indicator determines whether the current time falls within the selected session, creating a colored box that highlights the corresponding price range. Depending on user preferences, the indicator draws horizontal lines at the minimum and maximum price levels and, optionally, a central line.
During the session:
- The lowest and highest session prices are dynamically updated.
- The range is divided into 10 bands to create a gradient effect.
- A colored box is generated to visually highlight the chosen session.
If the Extend Lines option is enabled, price lines continue even after the session ends, keeping the range visible for further analysis.
This indicator is useful for traders who want to analyze price behavior in specific timeframes. It is particularly beneficial for strategies based on market sessions (e.g., London or New York open) or for identifying accumulation and distribution zones.
Mark Minervini Buy Signal# Mark Minervini Buy Signal Indicator
This indicator implements Mark Minervini's "Stage 2 Uptrend" buy criteria from his SEPA (Specific Entry Point Analysis) methodology as described in his books "Trade Like a Stock Market Wizard" and "Think & Trade Like a Champion". The script identifies potential buy setups based on Minervini's technical criteria for stocks showing strong momentum characteristics.
## How It Works
The indicator evaluates various technical conditions to identify stocks in a Stage 2 uptrend according to Minervini's methodology:
1. **Moving Average Alignment**
- 150-day MA above 200-day MA (confirming overall uptrend)
- 200-day MA trending up (compared to 20 days ago)
- 50-day MA above both 150-day and 200-day MAs (showing recent strength)
- Price above all major moving averages (50, 150, 200-day MAs)
2. **Price Relative to 52-Week Range**
- Price at least 25% above 52-week low (showing strong recovery)
- Price within 75-95% of 52-week high (room for further upside)
3. **Relative Strength**
- Stock ranks in the top 30% based on 100-day price performance
- This implements Minervini's emphasis on buying only strong performers
4. **Volume Criteria**
- Volume above its 50-day moving average (showing increasing interest)
## How to Use This Indicator
When all conditions are met, the indicator displays a green triangle below the price bar and colors the background green. These signals identify potential candidates for further analysis. According to Minervini's methodology, you should:
1. Use this as a screening tool to identify potential candidates
2. Perform additional chart analysis to identify specific entry points
3. Look for decreased volatility and proper bases or consolidation patterns
4. Consider broader market conditions and sector strength before entering
## Sources and Credit
This indicator is based on Mark Minervini's trading methodology as outlined in:
1. Minervini, Mark. "Trade Like a Stock Market Wizard: How to Achieve Super Performance in Stocks in Any Market" (2013)
2. Minervini, Mark. "Think & Trade Like a Champion: The Secrets, Rules & Blunt Truths of a Stock Market Wizard" (2016)
3. Minervini, Mark. "Mindset Secrets for Winning: How to Bring Personal Power to Everything You Do" (2019)
4. Interviews and workshops where Minervini has described his SEPA methodology
The specific criteria implemented are derived from Minervini's "Stage Analysis" framework, particularly focusing on Stage 2 uptrends which he considers optimal for buying opportunities.
## Disclaimer
This indicator is provided for informational purposes only. It attempts to reproduce Minervini's published criteria but should be used as part of a complete trading strategy with proper risk management. Minervini's complete methodology includes additional subjective elements that cannot be fully automated.
SRT - NK StockTalkSRT stands for Speculation Ratio Territory. It's a technique used in the stock market to identify the top and bottom of an index, which helps define the buying and selling zones.
Here's a brief overview of how it works:
Calculation: The SRT value is calculated by dividing the index value (like Nifty) by the 124-day Simple Moving Average (SMA) on a daily chart.
Range: The SRT value typically ranges between 0.6 (bottom) and 1.5 (top)2.
Investment Strategy:
Buying Zone: Ideal entry points are when the SRT value is between 0.6 and 0.9.
Selling Zone: It's recommended to start booking profits when the SRT value is above 1.3 and exit when it reaches around 1.4
This method helps investors make informed decisions about when to enter or exit the market, aiming for better returns and reduced risks.
