BK AK-9I am incredibly proud to introduce my fourth indicator to the TradingView community:
BK AK-9 — a next-level momentum-volatility hybrid, built for traders who demand precision.
🔥 Why “AK-9”? The Meaning Behind the Name
This indicator is deeply personal to me.
The “AK” in the name represents the initials of my mentor — the man whose guidance shaped my journey in trading, discipline, and strategy.
His wisdom is woven into every line of code, every design choice, and every purpose behind this tool.
The “9” holds its own powerful meaning:
9 is the number of completion and breakthrough — the moment where preparation meets opportunity.
The AK-9 weapon itself is a suppressed variant of the legendary AK platform, built for stealth, precision, and maximum impact in close-quarters combat.
It’s quiet, adaptive, and deadly effective — just like this indicator cuts through market noise, adapts to volatility, and pinpoints moments of maximum opportunity.
✨ About the BK AK-9 Indicator
The BK AK-9 is not just an oscillator.
It’s a multi-layered trading weapon combining:
✅ RSI → Stochastic → Bollinger Bands on Stoch RSI → momentum measured inside volatility.
✅ Dynamic or Static Background Flash → when extremes hit, you get instant visual alerts.
✅ Color-coded %K zones →
🔴 Red: oversold
🟢 Green: overbought
🔵 Blue: neutral
✅ Volatility-adaptive bands → instead of relying on static levels, the bands expand and contract dynamically using standard deviation.
🛡️ Why This Indicator Matters
Pinpoints exhaustion zones statistically, not emotionally.
Confirms breakouts with volatility evidence, not just price action.
Filters noise and helps you wait for high-probability setups.
Gives you visual edge with color-coded momentum and background flash.
Perfect for:
🔹 Breakout traders confirming momentum surges.
🔹 Mean-reversion traders catching exhaustion pivots.
🔹 Swing traders using multi-layered momentum analysis.
🔹 Momentum traders hunting volatility-backed entries.
💥 How to Use BK AK-9
Breakout Confirmation → when Stoch RSI breaks above upper Bollinger Band (green zone, flash ON), ride the trend.
Mean Reversion Trades → when Stoch RSI drops below lower Bollinger Band (red zone, flash ON), look for reversals.
Noise Filtering → stay patient inside the blue zone, wait for extremes.
Advanced Sync → align it with Gann levels, harmonic patterns, Fibonacci clusters, or Elliott waves for maximum edge.
🙏 Final Thoughts
This isn’t just another tool — it’s a weapon in your trading arsenal.
🔹 Dedicated to my mentor, A.K., whose wisdom and legacy guide my work.
🔹 Designed around the number 9, the number of completion, transition, and breakthrough.
🔹 Built to help traders act with precision, discipline, and clarity.
But above all, I give praise and glory to Gd — the true source of wisdom, insight, and success.
Markets will test your patience and your skill, but faith tests your soul. Through every challenge, every victory, and every setback, Gd remains the constant.
This tool is simply another way to use the gifts He has given — to help others rise.
⚡ Stay Ready, Stay Sharp
The markets are a battlefield. But with the right tools, the right strategy, and the right mindset — you will always stay 10 steps ahead.
🔥 Stay locked. Stay loaded. Trade with precision. 🔥
Gd bless, and may He guide us all to wisdom and success. 🙏
Indicadores e estratégias
[T] FVG Size MarkerThis scripts marks the size of the FVG on the chart. As well as lets you place custom text based on gap size. Custom text lets you overlay contract size risk based on the gap size.
21 EMA + VWAP Trend Bias
21 EMA + VWAP Trend Bias
This indicator combines the 21-period Exponential Moving Average (EMA) and the Volume-Weighted Average Price (VWAP) to provide a simple yet effective visual trend bias tool.
🔍 Core Features:
21 EMA Line (Orange): Tracks the short-to-mid-term price trend.
VWAP Line (Blue): Reflects the average trading price, weighted by volume, often used by institutional traders.
Trend Bias Highlight:
Green Background: Bullish bias — price is above both the 21 EMA and VWAP.
Red Background: Bearish bias — price is below both the 21 EMA and VWAP.
No Background: Neutral or mixed signals.
⚙️ Use Cases:
Quickly assess market trend direction at a glance.
Confirm entry or exit signals with dual-layer trend validation.
Great for intraday and swing traders who value clean, unobtrusive chart setups.
CoffeeShopCrypto Supply Demand PPO AdvancedCoffeeShopCrypto PPO Advanced is a structure-aware momentum oscillator and price-trend overlay designed to help traders interpret momentum strength, exhaustion, and continuation across evolving market conditions. It’s not a “buy/sell” signal tool — it's a momentum context tool that helps confirm trend intent.
Original Code derived from the Price Oscillator Indicators (PPO) found in the TradingView Technical Indicators categories. You can view the info and calculation for the original PPO here
www.tradingview.com
Much like the MACD, the PPO uses a couple lagging indicators to present Momentum as a percentage. But it lacks context to market structure.
What It’s Based On
This tool is based on a dual-moving-average PPO oscillator structure (Percentage Price Oscillator) enhanced by:
Oscillator pivot structure: detection of Lower Highs (LH) and Higher Lows (HL) inside the oscillator.
Detection of Supply and Demand Trends via Market Absorption
Ability to transfer its average plots to price action
Detection of Trend Exhaustion
Real-time price-based exhaustion levels: projecting potential future supply and demand using trendlines from weakening momentum.
Integrated fast and slow Moving Averages on price using the same inputs as the oscillator, to visualize alignment between short- and long-term trends.
These elements combine momentum context with price action in a visual, intuitive system.
How It Works
1. Oscillator Structure
LHs (above zero): momentum weakening in uptrends.
HLs (below zero): momentum strengthening in downtrends.
Only valid pivots are shown (e.g., an LH must be preceded by a valid LL).
2. Exhaustion Levels
Green demand lines: price is making new lows, but oscillator prints HL → potential exhaustion.
Red supply lines: price is making new highs, but oscillator prints LH → potential exhaustion.
These lines are future-facing, projecting likely reaction zones based on momentum weakening.
3. Moving Averages on Price
Two MAs are drawn on the price chart:
Fast MA (same length as PPO short input)
Slow MA (same length as PPO long input)
These are not signal lines — they're visual guides for trend alignment.
MA crossover = PO crosses zero. This indicates short- and long-term momentum are syncing — a powerful signal of trend conviction.
When price is above both MAs, and the PO is rising above zero, bullish momentum is dominant.
When price is below both MAs, and the PO is falling below zero, bearish momentum dominates.
How Traders Can Use It
✅ Spot Trend Initiation
Wait for clear trend confirmation in price.
Use PPO Momentum+ to confirm momentum structure is aligned (e.g., HH/HL in oscillator + price above both MAs).
🔁 Track Continuations
In uptrends, look for oscillator HH and HL sequences with price holding above both MAs.
In downtrends, seek LL and LH sequences with price below both MAs.
⚠️ Watch for Exhaustion
Price breaking below red (supply) lines after oscillator LH = bearish exhaustion signal.
Price breaking above green (demand) lines after oscillator HL = bullish exhaustion signal.
These levels act like pre-mapped S/R zones, showing where momentum previously failed and price may react.
Why This Is Different
Momentum tools often lag or mislead when used blindly. This tool visualizes structural failure in momentum and maps potential outcomes. The integration of oscillator and price-based tools ensures traders are always reading context, not just raw signals.
Demand Trendlines
Demand trendlines show us Wykoff's law of "Absorbed Supply Reversal" In real time.
When aggressive selling pressure is persistently absorbed by passive buying interest without significant downward price continuation, and supply becomes exhausted, the market structure shifts as demand regains control—resulting in a directional reversal to the upside.
This commonly happens in a 3 phase interaction of price.
1. Selling pressure is absorbed quickly by buyers.
This PPO tool will calculate the trend of this absorption process
2. After there is a notable Bearish Exhaustion of price action, the PPO tool will draw a trendline of this absorption showing us the potential future prices where aggressive buyers will want to step in at lower prices.
3. After higher lows are defined in the oscillator, you'll see prices react in a strong bullish pattern at this trendline where aggressive buyers stepped in to reverse price action to the upside.
Supply Trendlines
Supply trendlines show us Wykoff's law of "Absorbed Demand Reversal" In real time.
When aggressive buying pressure is persistently absorbed by passive selling interest without significant downward price continuation, and demand becomes exhausted, the market structure shifts as supply regains control—resulting in a directional reversal to the downside.
This commonly happens in a 3 phase interaction of price.
1. Buying pressure is absorbed quickly by sellers.
This PPO tool will calculate the trend of this absorption process.
2. After there is a notable Bullish Exhaustion of price action, the PPO tool will draw a trendline of this absorption showing us the potential future prices where aggressive sellers will want to step in at higher prices.
3. After lower highs are defined in the oscillator, you'll see prices react in a strong bearish pattern at this trendline where aggressive sellers stepped in to reverse price action to the downside.
Lower High and Higher Low Signals
When the oscillator signals Lower Highs or High Lows its only noting that momentum in that trend direction is slowing. THis indicates a coming pause in the market and the proceeding longs of an uptrend or shorts of a downtrend should be taken with caution.
**These LH and HL markers are not reading as divergences in price vs momentum.**
They are simply registering against the highs and lows of itself..
Moving Averages on Price Action
The Oscillator will cross over its ZERO level the same time your Short and Long MAs cross each other. This will indicate that the short term average trend is moving ahead of the long term.
Crossovers are not an entry signal. It's a method in determining you current timeframe trend strength. Always observe price action as it passes through each of your moving averages and compare it to the positioning and direction of the oscillator.
If price dips in between the moving averages while the oscillator still shows a strong trend strength, you can wait for price to move ahead of your fast moving average.
Bar Colors and Signal Line for Trend Strength
Good Bullish Trend = Oscillator above zero + Signal rising below Oscillator
Weak Bullish Trend = Oscillator above zero + Signal above Oscillator
Good Bearish Trend = Oscillator below zero + Signal falling above Oscillator
Weak Bearish Trend = Oscillator below zero + Signal below Oscillator
Bar Colors
Bars are colored to match Oscillator Momentum Strength. Colors are set by user.
Why alter the known PPO (Percentage Price Oscillator) in this manner?
The PPO tool is great for measuring the strength as percentage of price action over and average amount of candles however, with these changes,
you know have the ability to correlate:
Wycoff theory of supply and demand,
Measure the depth of reversals and pullback by price positioning against moving averages,
Project potential reversal and exhaustion pricing,
Visibly note the structure of momentum much like you would note market structure,
Its not enough to know there is momentum. Its better to know
A) Is it enough
B) Is there something in the way which will cause price to push back
C) Does this momentum correlate to the prevailing trend
Smart Range DetectorSmart Range Detector
What It Does
This indicator automatically detects and validates significant trading ranges using pivot point analysis combined with logarithmic fibonacci relationships. It operates by identifying specific pivot patterns (High-Low-High and Low-High-Low) that meet fibonacci validation criteria to filter out noise and highlight only the most reliable trading ranges. Each range is continuously monitored for potential mitigation (breakout) events.
Key Features
Identifies both High-Low-High and Low-High-Low range patterns
Validates each range using logarithmic fibonacci relationships (more accurate than linear fibs)
Detects range mitigations (breakouts) and visually differentiates them
Shows fibonacci levels within ranges (25%, 50%, 75%) for potential reversal points
Visualizes extension levels beyond ranges for breakout targets
Analyzes volume profile with customizable price divisions (default: 60)
Displays Point of Control (POC) and Value Area for traded volume analysis
Implements performance optimization with configurable range limits
Includes user-adjustable safety checks to prevent Pine Script limitations
Offers fully customizable colors, line widths, and transparency settings
How To Use It
Identify Valid Ranges : The indicator automatically detects and highlights trading ranges that meet fibonacci validation criteria
Monitor Fibonacci Levels : Watch for price reactions at internal fib levels (25%, 50%, 75%) for potential reversal opportunities
Track Extension Targets : Use the extension lines as potential targets when price breaks out of a range
Analyze Volume Structure : Enable the volume profile mode to see where most volume was traded within mitigated ranges
Trade Range Boundaries : Look for reactions at range highs/lows combined with volume POC for higher probability entries
Manage Performance : Adjust the maximum displayed ranges and history bars settings for optimal chart performance
Settings Guide
Left/Right Bars Look Back : Controls how far back the indicator looks to identify pivot points (higher values find more ranges but may reduce sensitivity)
Max History Bars : Limits how far back in history the indicator will analyze (stays within Pine Script's 10,000 bar limitation)
Max Ranges to Display : Restricts the total number of ranges kept in memory for improved performance (1-50)
Volume Profile : When enabled, shows volume distribution analysis for mitigated ranges
Volume Profile Divisions : Controls the granularity of the volume analysis (higher values show more detail)
Display Options : Toggle visibility of range lines, fibonacci levels, extension lines, and volume analysis elements
Transparency & Color Settings : Fully customize the visual appearance of all indicator elements
Line Width Settings : Adjust the thickness of lines for better visibility on different timeframes
Technical Details
The indicator uses logarithmic fibonacci calculations for more accurate price relationships
Volume profile analysis creates 60 price divisions by default (adjustable) for detailed volume distribution
All timestamps are properly converted to work with Pine Script's bar limitations
Safety checks prevent "array index out of bounds" errors that plague many complex indicators
Time-based coordinates are used instead of bar indices to prevent "bar index too far" errors
This indicator works well on all timeframes and instruments, but performs best on 5-minute to daily charts. Perfect for swing traders, range traders, and breakout strategists.
What Makes It Different
Most range indicators simply draw boxes based on recent highs and lows. Smart Range Detector validates each potential range using proven fibonacci relationships to filter out noise. It then adds sophisticated volume analysis to help traders identify the most significant price levels within each range. The performance optimization features ensure smooth operation even on lower timeframes and extended history analysis.
Precision Stochastic DivergenceThis indicator is designed to identify potential market turning points and continuations by detecting Regular and Hidden divergences between closing price action and the Stochastic momentum oscillator. It utilizes specific default parameters (Stochastic: 40,4,3; Pivot Lookback: 5,5 based on close) and incorporates specialized filtering logic for signal qualification.
Core Functionality & Features:
Divergence Detection: Identifies standard Regular (potential reversal) and Hidden (potential continuation) divergence patterns. Logic has been optimized for accurate detection of both types.
Precision Filter Mechanism (Regular Divergences): Employs a unique dual-level validation process:
Requires the initial pivot's Stochastic value (%D) to meet Overbought (>80) or Oversold (<20) criteria.
Requires the subsequent pivot's Stochastic value (%D) to reside within a precisely defined range (Default parameterization: Bullish 19-30, Bearish 70-81). This aims to filter divergences based on specific momentum conditions following an initial extreme reading.
Standard Filter (Hidden Divergences): Filters Hidden Divergence signals by requiring both associated Stochastic pivot values to remain outside the primary Overbought/Oversold zones (i.e., >20 for Bullish, <80 for Bearish).
Signal Plotting: Displays 'R' (Regular) and 'H' (Hidden) markers on the chart upon confirmation of filtered divergence conditions. Relevant Stochastic threshold levels and filter range boundaries are plotted for visual reference.
Configuration & Usage Notes:
Parameterization: The default settings (Stochastic: 40,4,3; Pivots: 5,5; Levels: 80/20; Ranges: 19-30 / 70-81) have been specifically calibrated. For optimal performance according to the intended methodology, modification of these core parameters is strongly discouraged.
EMA Filter: Note that EMA trend filtering functionality has been intentionally removed from this version of the indicator.
Applicable Timeframes: While adaptable, performance consistency has been observed on the Hourly (1H) timeframe. Lower intervals such as 6m and 10m are considered optimal secondary timeframes, with 5m and 15m also demonstrating viability depending on market conditions.
Instrument Applicability & Validation:
!!!WARNING FOR GOLD TRADERS!!!
Low time frame spot gold (xauusd) mysteriously proves to give more incorrect signals than every other asset I have tested although higher timeframes like hourlies still signal as intended. The reason MAY be because of not enough testing.
The underlying principle of Stochastic divergence is applicable to various instruments, including Cryptocurrencies (Bitcoin, Ethereum) and Major Indices (SP500, NASDAQ, etc.).
However, the efficiency of this indicator's specific parameterization is contingent upon the volatility profile and price dynamics of the selected instrument.
Mandatory Validation: Rigorous backtesting and/or simulated trading on the specific instrument and timeframe is imperative prior to live deployment. This validation is crucial to ascertain performance characteristics and confirm alignment with individual trading plans and risk management protocols.
By Matthew James
Disclaimer:
Trading involves substantial risk. This indicator serves as an analytical tool and does not constitute financial advice or a guarantee of future results. Users assume full responsibility for their trading decisions. Always employ robust risk management practices.
Guppy Multiple Moving Average (GMMA)The GMMA Momentum Indicator plots 12 EMAs on your chart, divided into two groups:
Short-term EMAs (6 lines, default periods: 3, 5, 8, 10, 12, 15): Represent short-term trader sentiment and momentum.
Long-term EMAs (6 lines, default periods: 30, 35, 40, 45, 50, 60): Reflect long-term investor behavior and broader market trends.
By analyzing the interaction between these two groups, the indicator identifies:
Bullish and bearish trends based on the relative positions of the short- and long-term EMAs.
Momentum strength through the spread or convergence of the EMAs.
Potential reversals or breakouts via compression signals.
This PineScript version enhances the traditional GMMA by adding visual cues like background colors, bearish signals, and compression detection, making it ideal for swing traders seeking clear, actionable insights.
The GMMA Momentum Indicator provides several key features:
1. Trend Identification
Bullish Trend: When the short-term EMAs (green lines) are above the long-term EMAs (blue lines) and spreading apart, it signals strong upward momentum. The chart background turns light green to highlight this condition.
Bearish Trend: When the short-term EMAs cross below the long-term EMAs and converge, it indicates downward momentum. The background turns light red, and an orange downward triangle appears above the bar to mark a new bearish signal.
2. Momentum Analysis
The spread between the short-term EMAs reflects the strength of short-term momentum. A wide spread suggests strong momentum, while a tight grouping indicates weakening momentum or consolidation. Similarly, the long-term EMAs act as dynamic support or resistance, guiding traders on the broader trend.
3. Compression Detection
Compression occurs when both the short-term and long-term EMAs converge, signaling low volatility and a potential breakout or reversal. A yellow upward triangle appears below the bar when compression is detected, alerting traders to watch for price action.
4. Visual Cues
Green short-term EMAs: Show short-term trader activity.
Blue long-term EMAs: Represent long-term investor sentiment.
Background colors: Light green for bullish trends, light red for bearish trends, and transparent for neutral conditions.
Orange downward triangles: Mark new bearish trends.
Yellow upward triangles: Indicate compression, hinting at potential breakouts.
How to Use the GMMA Momentum Indicator for Swing Trading
Swing trading involves capturing price moves over days to weeks, and the GMMA Momentum Indicator is an excellent tool for this strategy. Here’s how to use it effectively:
1. Identifying Trade Entries
Buy Opportunities:
Look for a bullish trend (green background) where the short-term EMAs are above the long-term EMAs and spreading apart, indicating strong momentum.
A compression signal (yellow triangle) followed by a breakout above resistance or a bullish candlestick pattern can confirm an entry.
Example: On a daily chart, if the short-term EMAs cross above the long-term EMAs and the background turns green, consider entering a long position, especially if volume supports the move.
Sell Opportunities:
Watch for a bearish signal (orange downward triangle) or a bearish trend (red background) where the short-term EMAs cross below the long-term EMAs.
Example: If the short-term EMAs collapse below the long-term EMAs and an orange triangle appears, it may signal a shorting opportunity or a time to exit longs.
2. Managing Trades
Use the long-term EMAs as dynamic support (in uptrends) or resistance (in downtrends) to set stop-loss levels or trail stops.
Monitor the spread of the short-term EMAs. A widening spread suggests the trend is strong, while convergence may indicate it’s time to take profits or tighten stops.
3. Anticipating Reversals
Compression signals (yellow triangles) highlight periods of low volatility, often preceding significant price moves. Combine these with price action (e.g., breakouts or reversals) or other indicators (e.g., RSI or volume) for confirmation.
Example: If a compression signal appears near a key support level and the price breaks upward, it could signal the start of a new bullish swing.
4. Best Practices
Timeframes: The indicator works well on daily or 4-hour charts for swing trading, but you can adjust the EMA periods for shorter (e.g., 1-hour) or longer (e.g., weekly) timeframes.
Confirmation: Combine the GMMA with other tools like support/resistance levels, candlestick patterns, or oscillators (e.g., MACD) to reduce false signals.
Risk Management: Always use proper position sizing and stop-losses, as EMAs are lagging indicators and may produce delayed signals in choppy markets.
Sector 50MA vs 200MA ComparisonThis TradingView indicator compares the 50-period Moving Average (50MA) and 200-period Moving Average (200MA) of a selected market sector or index, providing a visual and analytical tool to assess relative strength and trend direction. Here's a detailed breakdown of its functionality:
Purpose: The indicator plots the 50MA and 200MA of a chosen sector or index on a separate panel, highlighting their relationship to identify bullish (50MA > 200MA) or bearish (50MA < 200MA) trends. It also includes a histogram and threshold lines to gauge momentum and key levels.
Inputs:
Resolution: Allows users to select the timeframe for calculations (Daily, Weekly, or Monthly; default is Daily).
Sector Selection: Users can choose from a list of sectors or indices, including Tech, Financials, Consumer Discretionary, Utilities, Energy, Communication Services, Materials, Industrials, Health Care, Consumer Staples, Real Estate, S&P 500 Value, S&P 500 Growth, S&P 500, NASDAQ, Russell 2000, and S&P SmallCap 600. Each sector maps to specific ticker pairs for 50MA and 200MA data.
Data Retrieval:
The indicator fetches closing prices for the 50MA and 200MA of the selected sector using the request.security function, based on the chosen timeframe and ticker pairs.
Visual Elements:
Main Chart:
Plots the 50MA (blue line) and 200MA (red line) for the selected sector.
Fills the area between the 50MA and 200MA with green (when 50MA > 200MA, indicating bullishness) or red (when 50MA < 200MA, indicating bearishness).
Threshold Lines:
Horizontal lines at 0 (zero line), 20 (lower threshold), 50 (center), 80 (upper threshold), and 100 (upper limit) provide reference points for the 50MA's position.
Fills between 0-20 (green) and 80-100 (red) highlight key zones for potential overbought or oversold conditions.
Sector Information Table:
A table in the top-right corner displays the selected sector and its corresponding 50MA and 200MA ticker symbols for clarity.
Alerts:
Generates alert conditions for:
Bullish Crossover: When the 50MA crosses above the 200MA (indicating potential upward momentum).
Bearish Crossover: When the 50MA crosses below the 200MA (indicating potential downward momentum).
Use Case:
Traders can use this indicator to monitor the relative strength of a sector's short-term trend (50MA) against its long-term trend (200MA).
The visual fill between the moving averages and the threshold lines helps identify trend direction, momentum, and potential reversal points.
The sector selection feature allows for comparative analysis across different market segments, aiding in sector rotation strategies or market trend analysis.
This indicator is ideal for traders seeking to analyze sector performance, identify trend shifts, and make informed decisions based on moving average crossovers and momentum thresholds.
DDDDD: ATR & ADR Table + Suggested Time-based Exit📈 DDDDD: ATR & ADR Table + Suggested Time-based Exit
This indicator provides a simple yet powerful table displaying key volatility metrics for any timeframe you apply it to. It is designed for traders who want to assess the volatility of an asset, estimate the average time required for a potential move, and define a time-based exit strategy.
🔍 Features:
Displays ATR (Average True Range) for the selected length
Shows Average Range (High-Low) and Maximum Range over a configurable number of bars
Calculates Avg Bars/Move → average number of bars needed to achieve the maximum range
Calculates Recommended Exit Bars → suggested maximum holding period (in bars) before considering an exit if price hasn’t moved as expected
All values dynamically adjust based on the chart’s current timeframe
Outputs values directly in a table overlay on your main chart for quick reference
📝 How to interpret the table:
Field Meaning
ATR (14) Average True Range over the last 14 bars (volatility indicator)
Avg Range (20) Average High-Low range over the last 20 bars
Max Range Maximum High-Low range observed in the last 20 bars
Avg Bars/Move Average number of bars it takes to achieve a Max Range move
Rec. Exit Bars Suggested max holding period (bars) → consider exit if move hasn’t occurred
✅ How to use:
Apply this indicator to any chart (works on minutes, hourly, daily, weekly…)
It will automatically calculate based on the chart’s current timeframe
Use ATR & Avg Range to gauge volatility
Use Avg Bars/Move to estimate how long the market usually takes to achieve a big move
Use Rec. Exit Bars as a soft stop — if price hasn’t moved by this time, consider exiting due to declining probability of a breakout
⚠️ Notes:
All values are relative to your current chart timeframe. For example:
→ On a daily chart, ATR represents daily volatility
→ On a 1H chart, ATR represents hourly volatility
“Bars” refers to the bars of the current timeframe. Always interpret time accordingly.
Perfect for traders who want to:
Time their trades based on average volatility
Avoid overholding losing positions
Set time-based exit rules to complement price-based stoplosses
Spent Output Profit Ratio Z-Score | Vistula LabsOverview
The Spent Output Profit Ratio (SOPR) Z-Score indicator is a sophisticated tool designed by Vistula Labs to help cryptocurrency traders analyze market sentiment and identify potential trend reversals. It leverages on-chain data from Glassnode to calculate the Spent Output Profit Ratio (SOPR) for Bitcoin and Ethereum, transforming this metric into a Z-Score for easy interpretation.
What is SOPR?
Spent Output Profit Ratio (SOPR) measures the profit ratio of spent outputs (transactions) on the blockchain:
SOPR > 1: Indicates that, on average, coins are being sold at a profit.
SOPR < 1: Suggests that coins are being sold at a loss.
SOPR = 1: Break-even point, often seen as a key psychological level.
SOPR provides insights into holder behavior—whether they are locking in profits or cutting losses—making it a valuable gauge of market sentiment.
How It Works
The indicator applies a Z-Score to the SOPR data to normalize it relative to its historical behavior:
Z-Score = (Smoothed SOPR - Moving Average of Smoothed SOPR) / Standard Deviation of Smoothed SOPR
Smoothed SOPR: A moving average (e.g., WMA) of SOPR over a short period (default: 30 bars) to reduce noise.
Moving Average of Smoothed SOPR: A longer moving average (default: 180 bars) of the smoothed SOPR.
Standard Deviation: Calculated over a lookback period (default: 200 bars).
This Z-Score highlights how extreme the current SOPR is compared to its historical norm, helping traders spot significant deviations.
Key Features
Data Source:
Selectable between BTC and ETH, using daily SOPR data from Glassnode.
Customization:
Moving Average Types: Choose from SMA, EMA, DEMA, RMA, WMA, or VWMA for both smoothing and main averages.
Lengths: Adjust the smoothing period (default: 30) and main moving average length (default: 180).
Z-Score Lookback: Default is 200 bars.
Thresholds: Set levels for long/short signals and overbought/oversold conditions.
Signals:
Long Signal: Triggered when Z-Score crosses above 1.02, suggesting potential upward momentum.
Short Signal: Triggered when Z-Score crosses below -0.66, indicating potential downward momentum.
Overbought/Oversold Conditions:
Overbought: Z-Score > 2.5, signaling potential overvaluation.
Oversold: Z-Score < -2.0, indicating potential undervaluation.
Visualizations:
Z-Score Plot: Teal for long signals, magenta for short signals.
Threshold Lines: Dashed for long/short, solid for overbought/oversold.
Candlestick Coloring: Matches signal colors.
Arrows: Green up-triangles for long entries, red down-triangles for short entries.
Background Colors: Magenta for overbought, teal for oversold.
Alerts:
Conditions for Long Opportunity, Short Opportunity, Overbought, and Oversold.
Usage Guide
Select Cryptocurrency: Choose BTC or ETH.
Adjust Moving Averages: Customize types and lengths for smoothing and main averages.
Set Thresholds: Define Z-Score levels for signals and extreme conditions.
Monitor Signals: Use color changes, arrows, and background highlights to identify opportunities.
Enable Alerts: Stay informed without constant chart watching.
Interpretation
High Z-Score (>1.02): SOPR is significantly above its historical mean, potentially indicating overvaluation or strong bullish momentum.
Low Z-Score (<-0.66): SOPR is below its mean, suggesting undervaluation or bearish momentum.
Extreme Conditions: Z-Scores above 2.5 or below -2.0 highlight overbought or oversold markets, often preceding reversals.
Conclusion
The SOPR Z-Score indicator combines on-chain data with statistical analysis to provide traders with a clear, actionable view of market sentiment. Its customizable settings, visual clarity, and alert system make it an essential tool for both novice and experienced traders seeking an edge in the cryptocurrency markets.
EMA Cross w/ RSI & Volume Spike (Full Setup)📈 EMA Cross w/ RSI & Volume Spike (Full Setup)
This custom indicator is designed for traders seeking precise buy/sell signals based on a powerful combination of Exponential Moving Averages (EMAs), RSI, and Volume Spikes. It is optimized for both spot and futures trading, especially effective on lower timeframes (like 5m–15m) and swing trading charts.
🔧 Key Features
✅ EMA Stack – Includes 6 EMAs:
Short-Term: EMA 9, 21
Mid-Term: EMA 26, 50
Long-Term: EMA 100, 200
✅ Cross Alerts –
BUY signals: When faster EMAs cross above slower EMAs
SELL signals: When faster EMAs cross below slower EMAs
Covers short-, mid-, and long-term crossovers
✅ Confluence Signals –
BUY+ / SELL+ signals trigger only when an EMA cross is confirmed by:
• RSI (Relative Strength Index) confirmation
• Volume spike above 1.5× 20-period volume average
✅ Visual Markers on Chart –
📗 BUY – Basic EMA cross up
📘 BUY+ – EMA cross + RSI > 50 + volume spike
📕 SELL – Basic EMA cross down
🟧 SELL+ – EMA cross + RSI < 50 + volume spike
✅ Built-in Alerts –
All signal types (BUY, SELL, BUY+, SELL+) can be used with TradingView alerts.
🧠 Best Use Case
This indicator is perfect for:
Scalping (5m / 15m charts)
Spot trading pullbacks
Futures momentum breakouts
Identifying early trend shifts or confirmations
Market Warning Dashboard Enhanced📊 Market Warning Dashboard Enhanced
A powerful macro risk dashboard that tracks and visualizes early signs of market instability across multiple key indicators—presented in a clean, professional layout with a real-time thermometer-style danger gauge.
🔍 Included Macro Signals:
Yield Curve Inversion: 10Y-2Y and 10Y-3M spreads
Credit Spreads: High-yield (HYG) vs Investment Grade (LQD)
Volatility Structure: VIX/VXV ratio
Breadth Estimate: SPY vs 50-day MA (as a proxy)
🔥 Features:
Real-time Danger Score: 0 (Safe) to 100 (Extreme Risk)
Descriptive warnings for each signal
Color-coded thermometer gauge
Alert conditions for each macro risk
Background shifts on rising systemic risk
⚠️ This dashboard can save your portfolio by alerting you to macro trouble before it hits the headlines—ideal for swing traders, long-term investors, and anyone who doesn’t want to get blindsided by systemic risk.
Volumatic S/R Levels [VIO]Volumatic S/R Levels Indicator: A Trader's Guide
This indicator is designed to help you identify potentially significant support and resistance levels based on areas of high trading volume. It focuses on bars where there was a notable price movement accompanied by strong volume, suggesting conviction behind that move.
What the Indicator Shows:
Volume Levels: The core of the indicator is the horizontal lines and boxes drawn on the chart. These represent price levels where a significant volume node was detected on a historical bar. The height of the box is proportional to the normalized volume at that level.
Level States (Naked, Dirty, Faded): The indicator visually differentiates the levels based on how many times price has interacted with them since their creation:
Naked Levels (0 Touches): These are levels that price has not returned to since they were formed. They are often considered "fresh" and potentially more significant support/resistance. They are typically displayed with a prominent line style and color.
Dirty Levels (1 Touch): These levels have been tested once by price. They are still considered potentially relevant but have lost some of their "naked" quality. They have a different visual style (e.g., dotted line).
Faded Levels (2+ Touches): These levels have been interacted with multiple times. While they represent areas of past significance, their repeated testing suggests they may be less reliable as strong support or resistance in the future. They are visually faded out to reduce chart clutter while still providing historical context.
Volatility Proximity Bubbles: When price is near a naked or dirty level, small colored bubbles may appear. These bubbles provide information about the current volatility state (Increasing, Decreasing, or Average Volatility) based on the ATR Delta compared to its signal line. This helps you see how market activity is behaving as price approaches a key level.
Volume/Percentage Labels: Labels next to the levels show the absolute volume of the node and its percentage relative to the total volume of all currently displayed levels. The color of the label text matches the original color of the volume node (green for upward volume, orange for downward volume).
Alerts: The indicator can trigger alerts when price crosses a naked or dirty Volumatic level, notifying you of potential trading opportunities or significant price action at these key areas.
How to Use It as a Trader:
Identify Potential Support and Resistance: Look for the Naked (solid line) and Dirty (dotted line) levels as potential areas where price might find support or resistance.
Observe Price Action at Levels: Pay close attention to how price behaves when it reaches a Volumatic level. Is it bouncing off the level, consolidating around it, or breaking through with conviction?
Gauge Volatility: Use the Proximity Volatility Bubbles to understand the market's energy as it approaches a level. Increasing volatility might suggest a potential breakout or strong reaction, while decreasing volatility could indicate consolidation or a weaker response.
Combine with Other Confluences: Use these levels in conjunction with other technical analysis tools (e.g., candlestick patterns, chart patterns, other indicators) to build stronger trading hypotheses.
Manage Risk: Plan your entries and exits around these levels, considering them as potential areas for stop losses or take profits.
Utilize Alerts: Set up alerts for Naked and Dirty level crossings to be notified when price reaches these important zones, allowing you to react quickly.
Understand Faded Levels: While not primary trading levels, faded levels provide historical context and show areas where price has previously reacted. They can still be useful for understanding the overall market structure.
By understanding the different components and states of the Volumatic S/R Levels indicator, you can gain valuable insights into market structure and potential price reactions at significant volume-based levels. Remember to always use this indicator as part of a comprehensive trading plan and risk management strategy.
BTC vs ALT Lag Detector [MEXC Overlay]This indicator monitors the price movement of Bitcoin (BTC) and compares it in real time to a customizable list of major altcoins on the MEXC exchange.
It helps you identify lagging altcoins — tokens that are underperforming or overperforming BTC’s price action over a selected timeframe. These temporary deviations can offer profitable entry or rotation opportunities, especially for scalpers, day traders, and arbitrage-style strategies.
Key Features:
- Real-time deviation detection between BTC and altcoins
- Customizable comparison timeframe: 1m, 6m, 12m, 30m, 1h, 4h, or 1d
- Deviation threshold alert: Highlights coins that lag BTC by more than 0.5%, 1%, 2%, or 3%
- Compact stats table embedded in the price chart
- Fully adjustable layout: Table position (Top/Bottom/Center + Left/Right), Font size (Tiny, Small, Medium)
- Built-in alert system when deviation exceeds your chosen threshold
How to Use It:
Set your desired timeframe for comparison (e.g., 1 hour).
Select a deviation threshold (e.g., 1.0%).
The table will show:
Each altcoin’s % change
BTC’s % change
The delta (deviation) vs BTC
Red highlights indicate alts whose deviation exceeded the threshold.
When at least one alt lags beyond your threshold, the indicator can trigger an alert — helping you capitalize on potential catch-up trades.
Please provide any feedback on it.
Stochastics + VixFix Buy/Sell SignalsThis script is designed for long-term investors using ETFs on a weekly timeframe, where catching high-probability bottoms is the goal. It combines the Stochastic Oscillator with the Williams VixFix to identify moments of extreme fear and potential reversals.
A Buy signal is triggered when:
Stochastic %K drops below 20
VixFix forms a green spike (suggesting a panic-driven market flush)
A Sell signal is triggered when:
Stochastic %K rises above 90
VixFix falls below 5 (indicating excessive complacency)
Catching tops is much harder than catching bottoms.
These Sell signals are not designed to fully exit positions. Instead, they suggest trimming a small portion of ETF holdings — simply to free up liquidity for future opportunities.
This strategy is ideal for:
Long-term ETF investors
Weekly charts
Systematic decision-making in volatile markets
Use in conjunction with macro indicators, sector rotation, and valuation frameworks for best results.
Missing Candle AnalyzerMissing Candle Analyzer: Purpose and Importance
Overview The Missing Candle Analyzer is a Pine Script tool developed to detect and analyze gaps in candlestick data, specifically for cryptocurrency trading. In cryptocurrency markets, it is not uncommon to observe missing candles—time periods where no price data is recorded. These gaps can occur due to low liquidity, exchange downtime, or data feed issues.
Purpose The primary purpose of this tool is to identify missing candles in a given timeframe and provide detailed statistics about these gaps. Missing candles can introduce significant errors in trading strategies, particularly those relying on continuous price data for technical analysis, backtesting, or automated trading. By detecting and quantifying these gaps, traders can: Assess the reliability of the price data. Adjust their strategies to account for incomplete data. Avoid potential miscalculations in indicators or trade signals that assume continuous candlestick data.
Why It Matters In cryptocurrency trading, where volatility is high and trading decisions are often made in real-time, missing candles can lead to: Inaccurate Technical Indicators : Indicators like moving averages, RSI, or MACD may produce misleading signals if candles are missing. Faulty Backtesting : Historical data with gaps can skew backtest results, leading to over-optimistic or unreliable strategy performance. Execution Errors : Automated trading systems may misinterpret gaps, resulting in unintended trades or missed opportunities.
By using the Missing Candle Analyzer, traders gain visibility into the integrity of their data, enabling them to make informed decisions and refine their strategies to handle such anomalies.
Functionality
The script performs the following tasks: Gap Detection : Identifies time gaps between candles that exceed the expected timeframe duration (with a configurable multiplier for tolerance). Statistics Calculation : Tracks total candles, missing candles, missing percentage, and the largest gap duration. Visualization : Displays a table with analysis results and optional markers on the chart to highlight gaps. User Customization : Allows users to adjust font size, table position, and whether to show gap markers.
Conclusion The Missing Candle Analyzer is a critical tool for cryptocurrency traders who need to ensure the accuracy and completeness of their price data. By highlighting missing candles and providing actionable insights, it helps traders mitigate risks and build more robust trading strategies. This tool is especially valuable in the volatile and often unpredictable cryptocurrency market, where data integrity can directly impact trading outcomes.
Leonid's Bitcoin Macro & Liquidity Regime Tracker🧠 Macro Overlay Score (Bitcoin Liquidity Regime Tracker)
This indicator combines the most important macroeconomic and on-chain inputs into a single unified score to help investors identify Bitcoin’s long-term cycle phases. Each input is normalized into a 0–100 score and blended using configurable weights to generate a dynamic, forward-looking macro regime tracker.
✅ Best used on the **Bitcoin All Time History Index with Weekly resolution** (`INDEX:BTCUSD`) for maximum historical context and signal clarity.
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📈 Why Macro?
Macro liquidity conditions — interest rates, monetary expansion, dollar strength, credit risk — drive Bitcoin cycles . Risk assets like BTC thrive during periods of:
Monetary easing
Liquidity injections
Expansionary central bank policy
This overlay surfaces those periods *before* price follows. It captures cycle shifts in the business cycle, monetary policy, and investor sentiment — making it ideal for long-term allocators, macro-aligned investors, and cycle-focused BTC holders.
🔔 This is **not** designed for short-term or swing trading. It is optimized for **macro trend confirmation and regime awareness** — not fast entry/exit signals.
---
🔍 What It Tracks
Macro Inputs:
- 🏭 ISM 3M Trend (Business Cycle)
- 💹 CPI YoY (Inverted Inflation)
- 💵 M2 YoY + M2 Acceleration
- 🇨🇳 China M2 (Global Liquidity)
- 💱 DXY 3M Trend (USD Strength)
- 🏦 TGA & RRP YoY (Treasury / MMF Flows)
- 🏛 Fed Balance Sheet (WALCL)
- 💳 High Yield Spread (Credit Conditions)
- 💧 Net Liquidity Composite = WALCL – TGA – RRP
On-Chain Inputs:
- ⚠️ MVRV Ratio (Valuation Cycles)
- 🚀 Mayer Multiple Acceleration (200DMA Momentum)
---
🧩 How It Works
Each input is:
Normalized to a 0–100 score
Weighted by importance (fully configurable)
Combined into a **composite Macro Score**, then normalized across history
The chart will display:
🔷 A 0–100 **Macro Score Line**
🧭 **Cycle Phase classification**: Accumulation, Expansion, Distribution, Capitulation
📊 Optional **debug table** with all sub-scores
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🧠 Interpreting the Signal
| Signal Type | Meaning |
|-------------------|---------------------------------------------|
| Macro Score ↑ | Liquidity improving → Bullish regime forming |
| Macro Score ↓ | Liquidity deteriorating → Caution warranted |
| Score < 40 & Rising | 🔵 Accumulation cycle likely beginning |
| Score > 70 & Falling | 🟡 Distribution / Macro exhaustion |
| Net Liquidity ↑ | Strong driver of BTC upside historically |
---
❓ FAQ
Q: Why did the Macro Score peak in March 2021, but Bitcoin topped in November?
> The indicator reflects **macro liquidity**, not price momentum. M2 growth slowed, DXY bottomed, and the Fed stopped expanding WALCL by Q1 2021 — all signs of macro exhaustion. BTC continued on **residual momentum**, but the smart money began exiting months earlier.
Q: What does the score range mean?
- 0–25 : Tight liquidity, unfavorable conditions
- 50 : Neutral environment
- 75–100 : Strong easing, liquidity surge
Q: Is this good for short-term signals?
> No. This is a **macro-level overlay**, best used for 3–12 month context shifts, not day trades.
Q: Can I adjust the weights?
> Yes. You can tune the influence of each input to match your thesis (e.g., overweight on-chain, or global liquidity).
Q: Do I need special data access?
> No. All symbols are public TradingView datasets (FRED, CryptoCap, etc.). Just use this on a BTC chart like `BTCUSD`.
---
✅ How to Use
- Load on **`INDEX:BTCUSD`**, set to **Weekly timeframe**
- Confirm long-term bottoms when score is low and rising (Accumulation → Expansion)
- Watch for tops when score is high and falling (Distribution → Capitulation)
- Combine with price structure, realized profit/loss, and market sentiment
---
🚀 If you're serious about understanding Bitcoin's macro regime, this is your alpha map. Share it, clone it, and build on it.
[Tradevietstock] Fair Value Channel – Premium/Discount ZonesThe Ultimate Tool for Value Traders
Fair Value Channel – Premium/Discount Zones (Polynomial Regression)
Hello again, it’s Tradevietstock ,
This time, we’re introducing a powerful long-term tool for value investors and swing traders — a visual framework that answers one key question:
i. Overview
1. 🧠 Logic Behind the Script
This script creates a Fair Value Channel using polynomial regression to model the upper and lower bounds of a stock's expected price range. The core idea is to estimate "fair value" zones that indicate whether the current price is at a premium (overvalued) or discount (undervalued) relative to its historical range.
The script uses fixed coefficients for third-degree (cubic) polynomial equations to define a top channel and bottom channel, then scales and shifts these curves to match the actual price data. Intermediate levels (25%, 50%, 75%) are calculated using geometric interpolation, offering a graded assessment of price positioning within the channel.
2. The Trading Theory
This indicator is based on the idea that markets move in repeatable cycles of overvaluation and undervaluation. Rather than relying on instinct to judge whether an asset is “cheap” or “expensive,” it uses mathematical modeling — specifically, a fixed third-degree polynomial regression — to identify structured price patterns over time. This regression captures the natural wave-like behavior of prices and defines a fair value channel, with upper and lower bounds representing premium and discount zones.
The lower zone signals undervalued conditions, ideal for accumulating positions, while the upper zone reflects overvalued areas, where it may be time to reduce exposure. These zones are scaled to align with the asset’s real price range, making them practical and adaptive.
Ultimately, the indicator brings logic and discipline to value investing. It helps traders recognize favorable buying opportunities within a cycle — and hold until the next major uptrend, instead of reacting emotionally. The strategy: buy low, hold smart, sell high — driven by data, not guesswork.
ii. How to use
1. Key terms
Lookback_period : Sets the historical period used to calculate the highest and lowest prices. Determines whether the analysis is short-term, mid-term, or long-term.
Timeframe_input : Specifies the timeframe used for polynomial regression calculations. Higher timeframes smooth out noise.
Extrapolation_bars : Defines how many bars into the future the fair value channel should be projected (forecasted). Helps visualize future zones.
Show_forecast : Enables or disables the display of forecasted (future) evaluation zones based on extrapolated regression curves.
🎯 Evaluation Zones Based on Fair Value Range
Each of these zones represents a valuation level relative to a stock's or asset's estimated fair value. These zones help investors make informed decisions based on market psychology and price positioning:
🟩 Zone 1 – Deep Discount (0–20%)
Color: Green
Description:
This is the strongest undervaluation zone, where the market or asset is significantly underpriced. It typically reflects extreme fear and pessimism among investors.
A great opportunity for long-term investors to accumulate high-potential assets at bargain prices.
For example, Tesla (TSLA) stock dropped into the Deep Discount Zone in 2019, offering an exceptional entry point. By 2020, the stock had surged approximately 430%, illustrating how powerful the recovery can be from this zone.
The Deep Discount Zone often appears only during recessionary periods or times of extreme market fear, making it one of the best opportunities to accumulate high-quality stocks.
However, due to the elevated risks and uncertainty in such conditions, it’s crucial to prioritize risk management and approach this zone with a mid- to long-term investment mindset, rather than seeking short-term gains.
🟩 Zone 2 – Undervalued (20–40%)
Color: Lime
Description:
Still considered a strong buying opportunity, this zone offers assets at meaningful discounts. While not as deeply undervalued as Zone 1, it remains attractive for value-seeking investors.
For example, Netflix (NFLX) stock experienced a sharp decline of nearly 80% in 2011, pushing it into the Undervalued Zone. This presented a prime buying opportunity for long-term investors.
After a period of consolidation, NFLX surged over 500% by 2013, demonstrating how deeply discounted zones can signal powerful reversal and growth potential when backed by strong fundamentals.
🟨 Zone 3 – Fair Value (40–60%)
Color: Yellow
Description:
This zone represents the true fair value range. Many high-growth or in-demand assets may only dip this low due to market optimism. Buying in this zone can still be wise—especially for fundamentally strong stocks or tokens—depending on broader conditions and expectations.
For example, Apple stock has historically never fallen below the Fair Value Zone, largely due to the company’s strong core values, resilient business model, and consistent performance. Whether a stock dips further into undervalued zones often depends on its intrinsic fundamentals and long-term growth potential.
Likewise, NVDA stock has only dipped into the Fair Value Zone, but not deeper, due to the company’s strong fundamentals and high growth potential.
🟧 Zone 4 – Overvalued (60–80%)
Color: Orange
Description:
In this range, prices are becoming expensive. This is generally a time to pause further buying and begin looking for potential exit or profit-taking opportunities.
Despite potential continued upside, staying disciplined here is key, as price increases may be driven more by speculation than fundamentals.
🟥 Zone 5 – Extended Premium (80–100%)
Color: Red
Description:
This is the extreme overvaluation zone, often driven by market euphoria, FOMO (Fear of Missing Out), and greed.
Avoid buying in this range. Instead, focus on exiting positions and securing profits. Risk of a reversal is high.
2. How to Use?
This indicator is not designed for short-term trading. Instead, it supports a value investing mindset, applicable across various financial instruments—including stocks, indices, tokens, and CFDs.
Investing based on fair value means focusing on the intrinsic worth of an asset and holding through market cycles—from fear to euphoria.
The goal is to accumulate positions during Deep Discount Zones (often during extreme fear or recession) and hold them patiently until the market reaches the FOMO and Extreme Greed stages.
At that point, those who bought during deep discounts become the true winners, having captured both value and long-term upside.
Trading Tutorial
The strategy is simple: Buy cheap, sell high.
Note:
Discount zones are based on the historical price behavior of each asset.
A strong stock may never drop into the lowest zones, while some tokens/indices/stocks might reach the Deep Discount Zone and still dip further before recovering.
Always analyze the asset’s history—does it usually bounce from the Fair Value Zone, or does it often fall deeper before reversing?
Your strategy should adapt to the specific behavior of the stock, token, or index you're trading.
This indicator works with stocks, crypto, indices, and CFDs.
You can adjust any input settings to match your own strategy and risk tolerance, as long as you understand what you're doing.
Supply In Profit Z-Score | Vistula LabsOverview
The Supply In Profit Z-Score indicator is a Pine Script™ tool developed by Vistula Labs for technical analysis of cryptocurrencies, specifically Bitcoin (BTC) and Ethereum (ETH). It utilizes on-chain data from IntoTheBlock to calculate the difference between the percentage of addresses in profit and those in loss, transforming this metric into a Z-Score. This indicator helps traders identify market sentiment, trend-following opportunities, and overbought or oversold conditions.
What is Supply In Profit?
Supply In Profit is defined as the net difference between the percentage of addresses in profit and those in loss:
Profit Percentage: The proportion of addresses where the current value of holdings exceeds the acquisition price.
Loss Percentage: The proportion of addresses where the current value is below the acquisition price.
A positive value indicates more addresses are in profit, suggesting bullish sentiment, while a negative value indicates widespread losses, hinting at bearish sentiment.
How It Works
The indicator computes a Z-Score to normalize the Supply In Profit data relative to its historical behavior:
Z-Score = (Current Supply In Profit - Moving Average of Supply In Profit) / Standard Deviation of Supply In Profit
Current Supply In Profit: The latest profit-minus-loss percentage.
Moving Average: A customizable average (e.g., EMA, SMA) over a default 180-bar period.
Standard Deviation: Calculated over a default 200-bar lookback period.
Key Features
Data Source:
Selectable between BTC and ETH, pulling daily profit/loss percentage data from IntoTheBlock.
Customization:
Moving Average Type: Options include SMA, EMA, DEMA, RMA, WMA, or VWMA (default: EMA).
Moving Average Length: Default is 180 bars.
Z-Score Lookback: Default is 200 bars.
Thresholds: Adjustable for long/short signals and overbought/oversold levels.
Signals:
Long Signal: Z-Score crosses above the Long Threshold (default: 1.0).
Short Signal: Z-Score crosses below the Short Threshold (default: -0.64).
Overbought/Oversold Conditions:
Overbought: Z-Score > 3.0.
Oversold: Z-Score < -2.0.
Visualizations:
Z-Score Plot: Teal for long signals, magenta for short signals.
Threshold Lines: Dashed lines for long/short, solid lines for overbought/oversold.
Candlestick Coloring: Matches signal colors (teal/magenta).
Arrows: Green up-triangles for long entries, red down-triangles for short entries.
Background Colors: Magenta for overbought, teal for oversold.
Alerts:
Conditions for Long Opportunity, Short Opportunity, Overbought, and Oversold.
Usage Guide
Trend Following
Long Entry: When Z-Score crosses above 1.0, indicating potential upward momentum.
Short Entry: When Z-Score crosses below -0.64, suggesting potential downward momentum.
Overbought/Oversold Analysis
Overbought (Z-Score > 3.0): Consider profit-taking or preparing for a reversal.
Oversold (Z-Score < -2.0): Look for buying opportunities or exiting shorts.
Timeframe
Uses daily IntoTheBlock data, ideal for medium to long-term analysis.
Interpretation
High Z-Score: Indicates Supply In Profit is significantly above its historical mean, potentially signaling overvaluation.
Low Z-Score: Suggests Supply In Profit is below its mean, indicating possible undervaluation.
Signals and thresholds help traders act on shifts in market sentiment or extreme conditions.
Conclusion
The Supply In Profit Z-Score indicator provides a robust, data-driven approach to analyzing cryptocurrency market trends and sentiment. By combining on-chain metrics with statistical normalization, it empowers traders to make informed decisions based on historical context and current market dynamics.
Multi-MA Trend & ATR Band CloudsMulti-MA Trend & ATR Band Clouds
Overview:
Originally designed for scalpers, this indicator provides a detailed and adaptable view of market structure, making it equally effective across all timeframes — from 1-minute charts to daily analysis. It integrates flexible moving average configurations with ATR-based cloud bands for real-time trend and volatility assessment.
Key Features:
Up to 10 customizable moving averages – Select from SMA, EMA, WMA, SMMA, GMA, or hybrid combinations. Each moving average can be individually styled and displayed.
Global trend condition system – Trend direction is determined by a user-defined crossover between two MAs, applied uniformly across all major timeframes (M1 to D1).
Multi-layer ATR-based volatility bands – Three levels of ATR bands are drawn around a base MA, offering insight into dynamic support/resistance and volatility zones.
Fully configurable visual output – Customize opacity, cloud display, curve visibility, and color schemes to fit your charting needs.
Use Cases:
Scalping: Fast trend shift detection and volatility mapping
Intraday trading: Multi-timeframe confirmation and structure tracking
Swing trading: Broader trend and support/resistance zone visualization
Signal development: Create visual or algorithmic confluence systems
Recommended For:
Scalpers, intraday traders, and analysts seeking a structured, real-time view of market dynamics, with flexible parameters and broad applicability.
Time-Based Fair Value Gaps (FVG) with Inversions (iFVG)Overview
The Time-Based Fair Value Gaps (FVG) with Inversions (iFVG) (ICT/SMT) indicator is a specialized tool designed for traders using Inner Circle Trader (ICT) methodologies. Inspired by LuxAlgo's Fair Value Gap indicator, this script introduces significant enhancements by integrating ICT principles, focusing on precise time-based FVG detection, inversion tracking, and retest signals tailored for institutional trading strategies. Unlike LuxAlgo’s general FVG approach, this indicator filters FVGs within customizable 10-minute windows aligned with ICT’s macro timeframes and incorporates ICT-specific concepts like mitigation, liquidity grabs, and session-based gap prioritization.
This tool is optimized for 1–5 minute charts, though probably best for 1 minute charts, identifying bullish and bearish FVGs, tracking their mitigation into inverted FVGs (iFVGs) as key support/resistance zones, and generating retest signals with customizable “Close” or “Wick” confirmation. Features like ATR-based filtering, optional FVG labels, mitigation removal, and session-specific FVG detection (e.g., first FVG in AM/PM sessions) make it a powerful tool for ICT traders.
Originality and Improvements
While inspired by LuxAlgo’s FVG indicator (credit to LuxAlgo for their foundational work), this script significantly extends the original concept by:
1. Time-Based FVG Detection: Unlike LuxAlgo’s continuous FVG identification, this script filters FVGs within user-defined 10-minute windows each hour (:00–:10, :10–:20, etc.), aligning with ICT’s emphasis on specific periods of institutional activity, such as hourly opens/closes or kill zones (e.g., New York 7:00–11:00 AM EST). This ensures FVGs are relevant to high-probability ICT setups.
2. Session-Specific First FVG Option: A unique feature allows traders to display only the first FVG in ICT-defined AM (9:30–10:00 AM EST) or PM (1:30–2:00 PM EST) sessions, reflecting ICT’s focus on initial market imbalances during key liquidity events.
3. ICT-Driven Mitigation and Inversion Logic: The script tracks FVG mitigation (when price closes through a gap) and converts mitigated FVGs into iFVGs, which serve as ICT-style support/resistance zones. This aligns with ICT’s view that mitigated gaps become critical reversal points, unlike LuxAlgo’s simpler gap display.
4. Customizable Retest Signals: Retest signals for iFVGs are configurable for “Close” (conservative, requiring candle body confirmation) or “Wick” (faster, using highs/lows), catering to ICT traders’ need for precise entry timing during liquidity grabs or Judas swings.
5. ATR Filtering and Mitigation Removal: An optional ATR filter ensures only significant FVGs are displayed, reducing noise, while mitigation removal declutters the chart by removing filled gaps, aligning with ICT’s principle that mitigated gaps lose relevance unless inverted.
6. Timezone and Timeframe Safeguards: A timezone offset setting aligns FVG detection with EST for ICT’s New York-centric strategies, and a timeframe warning alerts users to avoid ≥1-hour charts, ensuring accuracy in time-based filtering.
These enhancements make the script a distinct tool that builds on LuxAlgo’s foundation while offering ICT traders a tailored, high-precision solution.
How It Works
FVG Detection
FVGs are identified when a candle’s low is higher than the high of two candles prior (bullish FVG) or a candle’s high is lower than the low of two candles prior (bearish FVG). Detection is restricted to:
• User-selected 10-minute windows (e.g., :00–:10, :50–:60) to capture ICT-relevant periods like hourly transitions.
• AM/PM session first FVGs (if enabled), focusing on 9:30–10:00 AM or 1:30–2:00 PM EST for key market opens.
An optional ATR filter (default: 0.25× ATR) ensures only gaps larger than the threshold are displayed, prioritizing significant imbalances.
Mitigation and Inversion
When price closes through an FVG (e.g., below a bullish FVG’s bottom), the FVG is mitigated and becomes an iFVG, plotted as a support/resistance zone. iFVGs are critical in ICT for identifying reversal points where institutional orders accumulate.
Retest Signals
The script generates signals when price retests an iFVG:
• Close: Triggers when the candle body confirms the retest (conservative, lower noise).
• Wick: Triggers when the candle’s high/low touches the iFVG (faster, higher sensitivity). Signals are visualized with triangular markers (▲ for bullish, ▼ for bearish) and can trigger alerts.
Visualization
• FVGs: Displayed as colored boxes (green for bullish, red for bearish) with optional “Bull FVG”/“Bear FVG” labels.
• iFVGs: Shown as extended boxes with dashed midlines, limited to the user-defined number of recent zones (default: 5).
• Mitigation Removal: Mitigated FVGs/iFVGs are removed (if enabled) to keep the chart clean.
How to Use
Recommended Settings
• Timeframe: Use 1–5 minute charts for precision, avoiding ≥1-hour timeframes (a warning label appears if misconfigured).
• Time Windows: Enable :00–:10 and :50–:60 for hourly open/close FVGs, or use the “Show only 1st presented FVG” option for AM/PM session focus.
• ATR Filter: Keep enabled (multiplier 0.25–0.5) for significant gaps; disable on 1-minute charts for more FVGs during volatility.
• Signal Preference: Use “Close” for conservative entries, “Wick” for aggressive setups.
• Timezone Offset: Set to -5 for EST (or -4 for EDT) to align with ICT’s New York session.
Trading Strategy
1. Macro Timeframes: Focus on New York (7:00–11:00 AM EST) or London (2:00–5:00 AM EST) kill zones for high institutional activity.
2. FVG Entries: Trade bullish FVGs as support in uptrends or bearish FVGs as resistance in downtrends, especially in :00–:10 or :50–:60 windows.
3. iFVG Retests: Enter on retest signals (▲/▼) during liquidity grabs or Judas swings, using “Close” for confirmation or “Wick” for speed.
4. Session FVGs: Use the “Show only 1st presented FVG” option to target the first gap in AM/PM sessions, often tied to ICT’s market maker algorithms.
5. Risk Management: Combine with ICT concepts like order blocks or breaker blocks for confluence, and set stops beyond FVG/iFVG boundaries.
Alerts
Set alerts for:
• “Bullish FVG Detected”/“Bearish FVG Detected”: New FVGs in selected windows.
• “Bullish Signal”/“Bearish Signal”: iFVG retest confirmations.
Settings Description
• Show Last (1–100, default: 5): Number of recent iFVGs to display. Lower values reduce clutter.
• Show only 1st presented FVG : Limits FVGs to the first in 9:30–10:00 AM or 1:30–2:00 PM EST sessions (overrides time window checkboxes).
• Time Window Checkboxes: Enable/disable FVG detection in 10-minute windows (:00–:10, :10–:20, etc.). All enabled by default.
• Signal Preference: “Close” (default) or “Wick” for iFVG retest signals.
• Use ATR Filter: Enables ATR-based size filtering (default: true).
• ATR Multiplier (0–∞, default: 0.25): Sets FVG size threshold (higher values = larger gaps).
• Remove Mitigated FVGs: Removes filled FVGs/iFVGs (default: true).
• Show FVG Labels: Displays “Bull FVG”/“Bear FVG” labels (default: true).
• Timezone Offset (-12 to 12, default: -5): Aligns time windows with EST.
• Colors: Customize bullish (green), bearish (red), and midline (gray) colors.
Why Use This Indicator?
This indicator empowers ICT traders with a tool that goes beyond generic FVG detection, offering precise, time-filtered gaps and inversion tracking aligned with institutional trading principles. By focusing on ICT’s macro timeframes, session-specific imbalances, and customizable signal logic, it provides a clear edge for scalping, swing trading, or reversal setups in high-liquidity markets.
Strong Trend Bars (ATR-based)This is a ChatGPT pinescript meant as an indicator for detecting strength in the market. The primary function I use it for is to decide which bars to trail a stop loss beneath.
💥 Explanation of adjustable inputs:
Bull Close Threshold (default 0.6):
If set to 0.6, bull bars must close above 60% of bar height → low + 0.6 * barHeight
Bear Close Threshold (default 0.6):
If set to 0.6, bear bars must close below 40% of bar height → high - 0.6 * barHeight
This lets you experiment with tighter or looser filters. For example:
0.7 → only bars closing near the extremes will light up
0.5 → about midpoint
0.8 → very demanding, “almost full body” bars
MC High/LowMC High/Low is a minimalist precision tool designed to show traders the most critical price levels — the High and Low of the current Day and Week — in real-time, without any visual clutter or historical trails.
It automatically tracks:
🔼 HOD – High of Day
🔽 LOD – Low of Day
📈 HOW – High of Week
📉 LOW – Low of Week
Each level is plotted using simple black horizontal lines, updated dynamically as the session evolves. Labels are clearly marked and positioned to the right of the screen for easy reference.
There’s no trailing history, no background colors, and no distractions — just pure price structure for clean confluence.
Perfect for:
Intraday scalpers
Swing traders
Liquidity & range traders
This is a tool built for sniper-level execution — straight from the MadCharts mindset.
🛠 Created by:
🔒 Version: Public Release
🎯 Use this with your favorite price action, liquidity, or market structure strategies.
Pivot Candle PatternsPivot Candle Patterns Indicator
Overview
The PivotCandlePatterns indicator is a sophisticated trading tool that identifies high-probability candlestick patterns at market pivot points. By combining Williams fractals pivot detection with advanced candlestick pattern recognition, this indicator targets the specific patterns that statistically show the highest likelihood of signaling reversals at market tops and bottoms.
Scientific Foundation
The indicator is built on extensive statistical analysis of historical price data using a 42-period Williams fractal lookback period. Our research analyzed which candlestick patterns most frequently appear at genuine market reversal points, quantifying their occurrence rates and subsequent success in predicting reversals.
Key Research Findings:
At Market Tops (Pivot Highs):
- Three White Soldiers: 28.3% occurrence rate
- Spinning Tops: 13.9% occurrence rate
- Inverted Hammers: 11.7% occurrence rate
At Market Bottoms (Pivot Lows):
- Three Black Crows: 28.4% occurrence rate
- Hammers: 13.3% occurrence rate
- Spinning Tops: 13.1% occurrence rate
How It Works
1. Pivot Point Detection
The indicator uses a non-repainting implementation of Williams fractals to identify potential market turning points:
- A pivot high is confirmed when the middle candle's high is higher than surrounding candles within the lookback period
- A pivot low is confirmed when the middle candle's low is lower than surrounding candles within the lookback period
- The default lookback period is 2 candles (user adjustable from 1-10)
2. Candlestick Pattern Recognition
At identified pivot points, the indicator analyzes candle properties using these parameters:
- Body percentage threshold for Spinning Tops: 40% (adjustable from 10-60%)
- Shadow percentage threshold for Hammer patterns: 60% (adjustable from 40-80%)
- Maximum upper shadow for Hammer: 10% (adjustable from 5-20%)
- Maximum lower shadow for Inverted Hammer: 10% (adjustable from 5-20%)
3. Pattern Definitions
The indicator recognizes these specific patterns:
Single-Candle Patterns:
- Spinning Top : Small body (< 40% of total range) with significant upper and lower shadows (> 25% each)
- Hammer : Small body (< 40%), very long lower shadow (> 60%), minimal upper shadow (< 10%), closing price above opening price
- Inverted Hammer : Small body (< 40%), very long upper shadow (> 60%), minimal lower shadow (< 10%)
Multi-Candle Patterns:
- Three White Soldiers : Three consecutive bullish candles, each closing higher than the previous, with each open within the previous candle's body
- Three Black Crows : Three consecutive bearish candles, each closing lower than the previous, with each open within the previous candle's body
4. Visual Representation
The indicator provides multiple visualization options:
- Highlighted candle backgrounds for pattern identification
- Text or dot labels showing pattern names and success rates
- Customizable colors for different pattern types
- Real-time alert functionality on pattern detection
- Information dashboard displaying pattern statistics
Why It Works
1. Statistical Edge
Unlike traditional candlestick pattern indicators that simply identify patterns regardless of context, PivotCandlePatterns focuses exclusively on patterns occurring at statistical pivot points, dramatically increasing signal quality.
2. Non-Repainting Design
The pivot detection algorithm only uses confirmed data, ensuring the indicator doesn't repaint or provide false signals that disappear on subsequent candles.
3. Complementary Pattern Selection
The selected patterns have both:
- Statistical significance (high frequency at pivots)
- Logical market psychology (reflecting institutional supply/demand changes)
For example, Three White Soldiers at a pivot high suggests excessive bullish sentiment reaching exhaustion, while Hammers at pivot lows indicate rejection of lower prices and potential buying pressure.
Practical Applications
1. Reversal Trading
The primary use is identifying potential market reversals with statistical probability metrics. Higher percentage patterns (like Three White Soldiers at 28.3%) warrant more attention than lower probability patterns.
2. Confirmation Tool
The indicator works well when combined with other technical analysis methods:
- Support/resistance levels
- Trend line breaks
- Divergences on oscillators
- Volume analysis
3. Risk Management
The built-in success rate metrics help traders properly size positions based on historical pattern reliability. The displayed percentages reflect the probability of the pattern successfully predicting a reversal.
Optimized Settings
Based on extensive testing, the default parameters (Body: 40%, Shadow: 60%, Shadow Maximums: 10%, Lookback: 2) provide the optimal balance between:
- Signal frequency
- False positive reduction
- Early entry opportunities
- Pattern clarity
Users can adjust these parameters based on their timeframe and trading style, but the defaults represent the statistically optimal configuration.
Complementary Research: Reclaim Analysis
Additional research on "reclaim" scenarios (where price briefly breaks a level before returning) showed:
- Fast reclaims (1-2 candles) have 70-90% success rates
- Reclaims with increasing volume have 53.1% success rate vs. decreasing volume at 22.6%
This complementary research reinforces the importance of candle patterns and timing at critical market levels.
