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Fib Swing Counter [A@J]Fib Swing Counter — Trade the Rhythm of the Market
This indicator automatically marks swing highs and lows with Fibonacci numbers (1, 1, 2, 3, 5, 8, 13, …), helping you track market structure, count price legs, and identify hidden order behind price movement.
Core Features:
Auto-detects pivots and labels them with the Fibonacci sequence.
Alternates between highs and lows — no repeats, no noise.
Custom reset time — start your count at the New York session open, a major news event, or your own strategic point.
Clean and simple visual display, adaptable to your chart style.
How Traders Use It:
Liquidity cycles: Spot when price is expanding or contracting in Fibonacci-driven waves.
Entry timing: Wait for setups to align with a key Fib count.
Confluence with other tools: Combine with ICT concepts, SMT divergence, supply/demand blocks, or Fibonacci retracements.
Session-based analysis: Restart the sequence everyMarket Open, Midnight, New York or London open to study price behavior from a fresh anchor point.
Whether you're into smart money concepts, price action, or algorithmic patterns, this tool adds a rhythmic layer to your analysis — because markets move with sequence, not randomness.
zSph x Larry Waves Wave Degree TimingElliott Waves are fractal structures governed by time. The categorization of time in relation to Elliott Wave is named ‘Wave Degree’.
All waves are characterized by relative size called degree. The degree of a wave is determined by its size and position relative to lesser waves (smaller time and size), corresponding waves (similar time and size) and encompassing waves (greater time and size).
Elliott named 9 degrees (Supercycle – Subminuette).
Elliott also stated the Subminuette degree is discernable on the HOURLY chart.
# Concept
BINANCE:BTCUSDT
Degree is governed by Time yet it is not based upon time lengths (or price lengths), rather it is based on form and structure – a function of both price and time.
The precise degree may not be identified in real time, yet the objective is to be within +/- 1 standard deviation of the expected degree to be aware of the overall market progression.
Understanding degree helps in the identification of when an impulse or a correction is nearing completion and to be aware of the major pivot in price action to occur as a result of the completion of a major expansion or major retracement and be aware of when major pivots in price relating to major expansions and major retracements by managing expectations from a time perspective.
*Important to understand* : If price is currently in a Wave Degree Extension or a Very Complex Correction, the wave degree timings will be distorted (extended in time).
Example: A Cycle typically lasts a few years - yet can last a decade(s) in an Extension.
It’s best to keep the analysis on the Minute/Minuette timeframe to manage timing expectations yet always refer back to the Higher Time Frame Structure.***
# Correct Usage
BEFORE PLACING THE ANCHOR TO DISPLAY ZONES:
Completion of prior wave structure should be completed and there needs to be confirmation the next wave structure is in progression, such as a change in market structure.
Anchor :
Best to anchor on the higher time frame to ensure you always have the anchor point defined when you scale down/move down in the timeframes.
Ensure the anchor point is placed at the termination of a structure/beginning of a new structure (Generally they will be price extremes – extreme highs and lows)
Zones :
Minimum Zones : The minimum amount of time of completion for a single wave structure to complete for a degree.
Average Zones : The average amount of time of completion for a single wave structure to complete for a degree.
Maximum Zones : The general maximum amount of time of completion for a single wave structure to complete for a degree.
Wave Degree Timeframe Analysis :
Higher-Level Degrees (Primary, Intermediate, Minor) - Utilize on H4+ timeframe
Lower-Level Degrees (Minute, Minuette, Subminuette) – Utilize on 15M to H4 timeframe
Micro-Level Degrees (Micro and Submicro) – Utilize on timeframes less than 15M
(There is a chart in the settings you can toggle on/off that reiterates this as well.)
# Settings
Y-Axis Offset :
It is a scale relative to the asset being viewed. Example:
- If using on Bitcoin, Bitcoin moves on average $1,000 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 4 nominal values to offset it correctly to view easier on the chart as needed.
- If using on SP500, SP500 moves on average $50-100 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 2 or 3 nominal values to offset it correctly to view easier on the chart as needed.
Extend :
This option allows to extend lines for the borders of the zones towards price action.
Horizontal Grid from Base PriceSupport & Resistance Indicator function
This inductor is designed to analyze the "resistance line" according to the principle of mother fish technique, with the main purpose of:
• Measure the price swing cycle (Price Swing Cycle)
• analyze the standings of a candle to catch the tempo of the trade
• Used as a decision sponsor in conjunction with Price Action and key zones.
⸻
🛠️ Main features
1. Create Automatic Resistance Boundary
• Based on the open price level of the Day (Initial Session Open) bar.
• It's the main reference point for building a price framework.
2. Set the distance around the resistance line.
• like 100 dots/200 dots/custom
• Provides systematic price tracking (Cycle).
3. Number of lines can be set.
• For example, show 3 lines or more of the top-bottom lines as needed.
4. Customize the color and style of the line.
• The line color can be changed, the line will be in dotted line format according to the user's style.
• Day/night support (Dark/Light Theme)
5. Support for use in conjunction with mother fish techniques.
• Use the line as a base to observe whether the "candle stand above or below the line".
• It is used to help see the behavior of "standing", "loosing", or "flow" of prices on the defensive/resistance line.
6. The default is available immediately.
• The default is based on the current Day bar opening price.
• Round distance, e.g. 200 points, top and bottom, with 3 levels of performance
Timeframe Quadrants | InvrsROBINHOODTimeframe Quadrant Visualizer
Summary
This indicator is a powerful visualization tool designed to help traders analyze price action by dividing various timeframes into four distinct, color-coded quadrants. By breaking down periods from a full year to a single minute, it offers a unique perspective on market cycles and intraday patterns. The script includes fully customizable colors and display styles, allowing you to tailor the visual output to your specific charting needs.
Key Features
Multiple Timeframe Divisions: Choose to divide a Year, Month, Week, Day, Hour, or Minute into four parts.
Customizable Quadrant Logic:
Year: Divided into calendar quarters (Jan-Mar, Apr-Jun, Jul-Sep, Oct-Dec).
Month: Divided into four approximate weeks (Days 1-7, 8-14, 15-21, 22-end).
Week: Divided into four 42-hour blocks, starting from Sunday at 00:00.
Day: Divided into four 6-hour blocks.
Hour: Divided into four 15-minute blocks.
Minute: Divided into four 15-second blocks.
Flexible Display Options: Visualize the quadrants as either a full Background Color overlay or a Bar Overlay that colors the price bars directly.
Timeframe Separators: A vertical line is automatically drawn at the beginning of each selected timeframe (e.g., at the start of each new day when "Day" is selected), making it easy to see where each period begins.
Full Color Customization: All four quadrant colors are user-definable, along with a global transparency setting to ensure the indicator complements your chart without obscuring price action.
Timezone-Aware: All calculations are performed based on a user-selected timezone from a dropdown menu, ensuring accuracy and consistency across different markets and trading sessions. As an added option, there is a manual input if the timezone is not available.
How to Use
Add to Chart: Add the "Timeframe Quadrants" indicator to your chart.
Open Settings: Hover over the indicator's name on your chart and click the Settings (gear) icon.
Configure the Indicator:
Timeframe: Select the primary time period you want to divide (e.g., "Day", "Week", "Hour").
Display Method: Choose whether you want the quadrants to appear as a Background Color or a Bar Overlay.
Timezone: Select the desired timezone from the dropdown menu. This is crucial for aligning the quadrants with specific market sessions (e.g., "America/New_York" for the NYSE session).
Quadrant Colors: Customize the color for each of the four quadrants.
Transparency %: Adjust the transparency of the colors to your preference.
Underlying Concepts
This script operates by using Pine Script's built-in time and date variables. It identifies the current bar's position within the user-selected timeframe (timeframe_choice) and assigns it to one of four quadrants based on pre-defined logic. For example, when "Day" is selected, it uses the hour() function to determine which 6-hour block the current bar falls into. The vertical separator lines are generated by detecting a change in the relevant time unit (e.g., ta.change(dayofmonth)), which marks the first bar of a new period.
Disclaimer: This tool is intended for visual analysis and pattern recognition. It does not generate buy or sell signals and should be used in conjunction with your own trading strategy and risk management. Past performance is not indicative of future results.
Black ArrowExpected Move Levels - Closer Prices
This script calculates and displays the expected move based on Implied Volatility (IV) and Days to Expiration (DTE). It helps traders visualize potential price movement ranges over a defined period using historical close price.
🔹 Key Features:
Customizable IV and DTE inputs
Displays 2 green levels above price and 2 red levels below, representing half and full expected move
Mid-lines between base price and first green/red level
Each level is labeled with its price value
Lines are drawn short and don't extend through the full chart for clarity
📘 Formula:
Expected Move = Price × IV × √(DTE / 365)
Use this tool to estimate market volatility zones and potential price targets without relying on traditional indicators.
Durdens Global M2 Liquidity Tracker🧠 Durdens Global M2 Liquidity Tracker | Bitcoin vs Liquidity, Visualized
If you’re not watching global liquidity, you’re not really trading macro.
This indicator tracks FX-adjusted M2 money supply across 20+ countries, aggregated into a single global liquidity signal. It can then be used to overlay against Bitcoin for timing macro shifts with precision.
🔍 Core Features:
🌐 USD-adjusted M2 from the US, China, Eurozone, UK, Japan, and more
📊 Normalization modes: None (raw), Index (Based to 100), Z-Score
⏳ Offset input to shift liquidity data forward — aligns with Bitcoin's delayed reaction (84–107 days common)
🧠 BTC correlation matrix: 30D, 90D, 365D correlation values
🧪 Top 3 M2 delta signals: Tracks 90-day % change for US, China, EU
🧮 Fibonacci SMAs: 13 / 34 / 89 for structural macro context
🟢🔴 Liquidity regime engine: EMA 89 defines "Risk-On" vs "Risk-Off" states
🧩 How It Works:
Each country’s M2 is multiplied by its FX rate (to USD) and summed into a single global M2 line. This ensures comparability across nations. The user can choose to:
Normalize the output (raw, indexed, or z-scored)
Shift the global M2 forward in time (offset), simulating the lag effect liquidity has on Bitcoin
Visualize macro risk conditions using EMA 89 as a liquidity regime filter
Analyze BTC correlation across 3 windows and track key regions’ M2 delta
❓ FAQ:
Why does this matter?
M2 is the monetary fuel behind asset bubbles. When liquidity rises, Bitcoin follows; with a delay. This tracker helps you front-run macro flows before they hit the chart.
Why use Index or Z-Score modes?
Raw values skew long-term visual analysis. Index mode rebases data for comparative trend tracking. Z-Score shows when liquidity is overheated or suppressed (mean reversion).
What does the offset input do?
Liquidity doesn’t hit Bitcoin instantly. Many traders use an 84–107 day forward shift to align M2 changes with BTC price action. The offset helps you visualize this.
Why track top 3 M2 regions?
US, China, and Eurozone are the heavyweights in global liquidity. Tracking their offset-day % change gives immediate insight into capital expansion or contraction.
Can I use this to trade?
Absolutely; but it’s best used as a macro filter. Combine with price structure, funding, or on-chain data to optimize timing and conviction.
⚡ Use Cases:
Spot early pivots in liquidity regimes (Risk-Off to Risk-On)
Quantify macro backdrop for Bitcoin or altcoin cycles
Understand when the Fed or PBOC are tightening or easing
Ditch the hopium. Trade with context.
—
Built by: @DurdensBitcoinLedger
Follow for updates — future upgrades include:
• Regional toggles
• Custom M2 baskets
• Alert conditions
• Continued revisions & updates
Stay liquid, not wrecked.
Market sentiment and cryptocurrency narratives📈 IDRA + PFLA: Crypto Market Sentiment & Narrative Flow
Uncover hidden opportunities and navigate the dynamic crypto landscape with IDRA + PFLA (Intraday Dynamic Risk Assessment + Public Flow & Liquidity Analysis). This powerful, two-in-one indicator suite is meticulously designed to provide you with a comprehensive understanding of market sentiment and identify active cryptocurrency narratives across different timeframes.
IDRA: Intraday Dynamic Risk Assessment (Daily & 4-Hour)
The IDRA component offers a unique perspective on overall market sentiment, helping you gauge risk appetite within the altcoin space.
Daily Sentiment Plot: Visualize the daily macro sentiment with a dedicated plot that fluctuates between zones of "High Risk (Euphoria)," "Low Risk (Opportunity)," "Very Low Risk (Panic/Opportunity)," and "Absolute Bottom (Max Despair)." Transparent zone fills make it easy to interpret the prevailing market mood.
Bitcoin/Altcoin Season Bar (4-Hour): At the bottom right of your chart, a dynamic bar visually represents the "Bitcoin Season" to "Altcoin Season" spectrum. This intuitive bar, updated every 4 hours, provides real-time insights into which side of the market is currently attracting more capital and attention. A white indicator line moves across the gradient, showing the current IDRA reading on a normalized 0-100 scale.
Customizable Normalization: Adjust the normalization period to fine-tune IDRA's sensitivity to historical market behavior.
Actionable Alerts: Set up alerts for IDRA's key levels (High, Low, Very Low, Absolute Bottom) to be notified of significant shifts in market sentiment, allowing you to react promptly to potential opportunities or threats.
PFLA: Public Flow & Liquidity Analysis (Daily)
The PFLA component provides a detailed breakdown of capital flows and dominance within key crypto narratives. It acts as a daily snapshot, showing you where the money is moving across different crypto sectors.
Ecosystem Performance: Track the daily performance of major ecosystems like Ethereum, Solana, and BNB Chain, observing their dominance and 24-hour capital flow changes.
Trending Categories: Stay ahead of the curve by monitoring the capital movements and dominance of hot narratives such as DePIN, AI, RWA, and MEME coins.
Layer 1 Insights: Gain a clear understanding of the broader Layer 1 landscape.
Consensus Mechanism Analysis : Compare the performance of Proof-of-Work (PoW) and Proof-of-Stake (PoS) coins.
Stablecoin Dominance: Keep an eye on the overall Stablecoin Dominance within the total crypto market, a crucial indicator of risk aversion or appetite.
Daily Snapshot : Each category displays its current dominance, today's capitalization (in billions), and the daily percentage change, all clearly color-coded (green for positive, red for negative).
Ideal for 4-Hour and Daily Timeframes
This indicator is specifically optimized for use on 4-hour and daily charts, providing both intraday and longer-term perspectives on market sentiment and narrative shifts. The IDRA bar updates every 4 hours for more immediate insights, while the PFLA table provides a daily comprehensive overview.
💡 How to Use It
Bias Confirmation: Use the IDRA plot to confirm your general bias on whether the altcoin market is in a phase of euphoria, fear, or panic.
Opportunity Identification: The "Opportunity" and "Extreme Panic" zones of the IDRA plot can signal opportune moments for accumulation.
Risk Management: The "High Risk/Euphoria" zone of the IDRA plot alerts you to be more cautious or consider profit-taking.
Capital Flow Analysis: The PFLA table instantly shows you which ecosystems and narratives are attracting or losing capital today, helping you identify the strongest trends or areas under pressure.
Bitcoin vs. Altcoin Season: The IDRA Bitcoin/Altcoin Season Bar visually indicates the current market phase.
When the white indicator line is closer to "Bitcoin Season" (left side of the bar), it suggests Bitcoin is outperforming altcoins, and capital is flowing into BTC or larger-cap assets for stability. This might be a time to prioritize Bitcoin trades or be cautious with altcoins.
When the white indicator line is closer to "Altcoin Season" (right side of the bar), it indicates altcoins are outperforming Bitcoin, and capital is rotating into the broader altcoin market, often in search of higher returns. This could signal a more favorable environment for altcoin trading.
Use this bar to quickly assess the broader market's risk appetite: generally, Bitcoin Season implies more risk-off sentiment, while Altcoin Season suggests more risk-on.
Customizable Alerts: Configure alerts on IDRA to receive notifications when the index enters or exits its key zones.
The "IDRA & PFLA Integrated" is an indispensable tool for any cryptocurrency investor or trader seeking a deep understanding of capital flow and altcoin market sentiment.
IDRA + PFLA empowers you with the data you need to make more informed trading and investment decisions in the fast-paced world of cryptocurrencies. Gain a distinct edge by understanding where the smart money is flowing and which narratives are gaining traction.
Please note: This indicator is private and requires an invitation to access.
[Teyo69] T1 Wyckoff Aggressive A/D Setup📘 Overview
The T1 Wyckoff Aggressive A/D Setup is a dual-mode indicator that detects bullish accumulations and bearish distributions using core principles from the Wyckoff Method. It identifies price/volume behavior during Selling/Buying Climaxes, ARs, SOS/SOW, and triggers based on trend structure.
🔍 Features
✅ Automatic detection of:
Automatic Rally (AR)
Automatic Reaction (AR)
Sign of Strength (SOS) or Sign of Weakness (SOW)
🧠 Trend-sensitive logic with linear regression slope filters
⚙️ Configurable options for Reversal vs Trend Following mode
🎯 Smart structure timing filters using barssince() logic
🔊 Volume spike and wide-range candle detection
📊 Visual cues for bullish (green) and bearish (red) backgrounds
🛠 How to Use
Reversal Mode
Triggers early signals after a Climax + AR
Ideal for catching turning points during consolidations
Trend Following Mode
Requires Climax, AR, and confirmation (SOS or SOW)
Waits for structure confirmation before signaling
Use this when you want higher probability trades
⚙️ Configuration
Volume MA Length - Determines baseline volume to detect spikes
Wick % of Candle - Filters candles with long tails for SC/BC
Close Near Threshold - Ensures candles close near high/low
Breakout Lookback - Sets structure breakout level
Structure Threshold - Controls timing window for setups
Signal Option - Switch between Reversal or Trend Following mode
⚠️ Limitations
Doesn't confirm macro structure like full Wyckoff phase labeling (A–E)
May repaint on lower timeframes during volatile candles
Works best when combined with visual range recognition and market context
🧠 Advanced Tips
Use in confluence with:
Volume Profile ranges
Trendlines and supply/demand areas
Ideal timeframes: 8H to 1D for crypto and forex markets
Combine this with LPS/UTAD patterns for refined entries
📝 Notes
SC/AR/SOS = Bullish
BC/AR/SOW = Bearish
Trend coloring adapts background (green = rising slope, red = falling slope)
🛡️ Disclaimer
This tool is a market structure guide, not financial advice. Past behavior does not guarantee future performance. Always use proper risk management.
Advanced Hurst Cycle + VTL + Turning Points| Timeframe | Cycle Base | Use Case | Notes |
| ------------ | ---------- | ------------------ | ------------------------- |
| 5-min | 16–20 bars | Intraday scalping | Tight SL, fast moves |
| 15-min / 1hr | 20–40 bars | Intraday to swing | Good for options intraday |
| Daily | 20–40 bars | Multi-day swings | Ideal for Futures/ST BTST |
| Weekly | 13–26 bars | Position/Investing | For macro turns |
Guide to Trading with JM Hurst Cycles in TradingView
1. What is JM Hurst Cycle Theory?
JM Hurst proposed that financial markets move in harmonically related cycles. These cycles can help traders
forecast turning points in markets using time-based analysis rather than just price.
Key Concepts:
- Cycle Nesting: Smaller cycles exist within larger ones.
- Harmonic Ratios: Each cycle is typically double the length of the smaller one (e.g., 20, 40, 80).
- Turning Points: When multiple cycles bottom together, strong reversals occur.
- Tools: FLD (Future Line of Demarcation), VTL (Valid Trend Lines).
2. TradingView Script Features
The provided Pine Script v5 implements:
- FLDs (shifted SMAs) for base and harmonic cycles.
- VTLs: Drawn between major pivot highs/lows to confirm trend reversals.
- Cycle Turning Points: Detected using pivot logic and cycle phase.
- Optional: Sine wave to visualize cycle rhythm.
Inputs:
- Base Cycle Length: Set the expected cycle duration (e.g., 20 bars).
- FLD/VTL/Turn toggles to customize chart view.
3. How to Trade with This Script
1. Set 'Base Cycle Length' to 20, 40, or 80 depending on your market and timeframe.
2. Watch for price crossing the FLD:
- Bullish Signal: Price crosses above FLD near cycle bottom.
- Bearish Signal: Price breaks below FLD near cycle top.
3. Use VTL for confirmation:
Guide to Trading with JM Hurst Cycles in TradingView
- Break of upward VTL from cycle lows = bearish shift.
- Break of downward VTL from cycle highs = bullish shift.
4. Use turning point markers:
- Triangle up (green): Probable cycle bottom - watch for long.
- Triangle down (red): Probable cycle top - prepare for exit or short.
Tips:
- Align multiple cycle lengths for stronger confirmation.
- Use with other technical indicators like RSI/MACD for confluence.
- Avoid trading just before major news events - cycles can distort.
4. Example Strategy
If base cycle is 20 bars:
- Wait for triangle up (cycle low) near FLD.
- Confirm price crosses above FLD.
- Ensure VTL from prior lows is intact or just broken upward.
- Enter long; set stop below recent low.
Opposite for shorts at triangle down + FLD break down + VTL break.
5. Final Notes
This script offers a time-based visual trading method inspired by JM Hurst. It's most powerful when used with
patience, confirmation, and alignment across cycles.
You can adjust cycle lengths or refine pivots based on your trading timeframe and asset class.
For best results, backtest cycle behavior on your instrument before live trading.
Alternate Hourly HighlightAlternate Hourly Highlight
This indicator automatically highlights every alternate one-hour window on your chart, making it easy to visually identify and separate each trading hour. The background alternates color every hour, helping traders spot hourly cycles, session changes, or develop time-based trading strategies.
Works on any timeframe.
No inputs required—just add to your chart and go!
Especially useful for intraday traders who analyze price action, volatility, or volume by the hour.
For custom colors or session windows, feel free to modify the script!
Lunar Sentiment BandsThe Lunar Sentiment Bands indicator is designed to combine simple price volatility analysis with the timing of moon phases. It's based on a moving average and two bands above and below it—similar to Bollinger Bands. But unlike regular bands, the width of these adjusts dynamically depending on two key conditions: the moon phase and market volume.
Around Full Moons, markets often show emotional or volatile behavior. If there's also a surge in trading volume during that time, the indicator automatically expands the bands. This tells you the market might be gearing up for a breakout or high-energy move.
Around New Moons, things are typically quieter. If there’s no significant volume, the indicator contracts the bands. This reflects a calmer environment or a potential “coil” where price is building up energy.
Traders can use this shifting bandwidth to guide decisions. Wide bands suggest breakout potential—either to join the move or to stand back until direction becomes clearer. Narrow bands suggest you may want to trade reversals, or simply wait for volatility to return before entering a position.
This approach doesn't try to predict direction. Instead, it gives you a sense of when the market is most likely to become active or stay quiet, using the rhythm of the moon and real-time volume to shape that view.
Multi Vertical Timeline V3English Description
Multi Vertical Timeline V3 + 3 Time Blocks
A professional trading indicator for precise time marking and session highlighting on your charts.
Key Features:
📍 6 Vertical Time Lines:
Individually configurable times (hour/minute)
Customizable colors, line widths, and styles (solid, dashed, dotted)
Enable/disable toggle for each timeline
Optional time labels
🎨 3 Trading Session Blocks:
Colored background highlights for important trading hours
Pre-configured for NY, London, and Tokyo sessions
Fully customizable start and end times
Transparent coloring for optimal chart readability
⏰ Smart Time Control:
Precise timezone offset setting (-12 to +12 hours)
Automatic adjustment for daylight saving time
Worldwide timezone support
Special handling for time blocks crossing midnight
🛠️ User-Friendly Design:
Clear grouping of all settings
Global on/off control for all labels
No performance impact through optimized code
Instant visual feedback
Use Cases:
Forex Trading (mark session overlaps)
Futures Trading (market opening hours)
Intraday Strategies (entry/exit times)
Multi-timeframe Analysis
Backtesting with time-based rules
Perfect for traders who need precise time markings and session highlights for their strategies!
Universal Valuation | Lyro RSUniversal Valuation
⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Overview
The Universal Valuation indicator helps identify whether the market is undervalued/cheap or overvalued/expensive. And another mode this indicator offers is This cutting-edge tool works flawlessly ACROSS ALL TIMEFRAMES & TICKERS/CHARTS.
By combining regular TradingView indicators & some of our valuation indicators basic/simple with advanced statistical functions, this indicator offers a powerful, universal valuation tool.
Key Features
INPUTS: The Universal Valuation indicator offers flexibility through its customizable input sections. The "Indicator Settings" let you adjust lengths for the raw indicators and statistical functions. The "Signals" section defines thresholds for background color changes, helping you visually spot key market moments. The "Colors" section allows you to pick from pre-defined schemes or personalize colors for better clarity. Lastly, the "Tables" section gives you full control over the UV table’s size and positioning, including options to overlay it on the chart or place it in the allocated space.
A DEEPER INSIGHT: This indicator is built around three distinct categories: "UVM Andromeda," "UVM Sentinel," and "UVM Nexus." Each category has three different drivers. The statistical function powering this indicator is the Z-score. The Z-score is an incredibly powerful tool that helps determine if the market is overvalued/expensive or undervalued/cheap, offering critical insights for traders."
Plotting: The plotted value represents the average of all the drivers. In other words, it is the combined average of all 9 Z-scored indicators, providing a balanced and comprehensive market valuation.
What is Z-score? & Why does this system use it?
Z-score is an advanced statistical function used to measure how far a value deviates from the average in a data set. The formula for Z-score is: (x - h) / o, where x is the observed value, h is the average (mean) of the data set, and o is the standard deviation.
This system uses the Z-score because it helps determine whether the market is overvalued or undervalued based on historical data and how we apply the calculation. By measuring how far a value deviates from the average, the Z-score provides a clearer and more objective valuation of market conditions. In our case, a Z-score of -3 indicates an undervalued market, while a Z-score of 3 signals an overvalued market.
UVM Andromeda:
UVM stands for Universal Valuation Model, which is the core of this indicator. Andromeda, one of the most stunning galaxies in the universe, inspired by its name. We chose this name because a powerful indicator should not only be effective but also visually appealing.
You might be wondering what drives UVM Andromeda. The three key drivers are Price, RSI, and ROC. These indicators are pre-defined, while the "Indicator Settings" allow you to adjust the length of the Z-score calculation, refining how the model analyzes market conditions.
UVM Sentinel:
Sentinel, refers to a guard or watchman, someone or something that keeps watch and provides protection. In our case this name refers to a model that actively observes market conditions, acting as a vigilant tool that signals important shifts in valuation.
Wondering what drives UVM Sentinel? The three key drivers are BB%, CCI, and Crosby. While these indicators are simple on their own, applying our Z-score function elevates them to a whole new level, enhancing their ability to detect market conditions with greater accuracy.
UVM Nexus:
We chose the name Nexus simply because it sounds cool—there’s no deeper meaning behind it for us. However, the word itself does have a meaning; it refers to a connection or link between multiple things.
The three key drivers for UVM Nexus are the Sharpe, Sortino, and Omega ratios. These are all asset performance metrics, but by applying the Z-score, we transform them into powerful valuation indicators/drivers, giving you a deeper insight into market conditions.
Why do we use 9 different indicators instead of 1?
That's a great question, and the answer is quite simple. Think of it like this: if you have one super soldier, and they miss a shot, it’s game over. But if you have many soldiers, even if one misses, the others can step in and take the shot. The strength of using multiple indicators lies in their collective power – if one misses, the others still provide valuable insights, making the overall system more reliable.
Final Thoughts:
In our Universal Valuation indicator, you have the flexibility to customize it however you like using our inputs. The system is divided into three distinct categories, with each category containing three indicators. The value plotted on the chart is the average of all nine indicators. We apply the Z-score, an advanced statistical function, to each of these nine indicators. The final plotted average is the average of all the Z-scores, giving you a comprehensive and refined market valuation. This indicator can work on any timeframe & chart ticker.
Session Volatility Dashboard█ Session Volatility Dashboard: HOW IT WORKS
This tool is built on transparent, statistically-grounded principles to ensure reliability and build user trust.
Session Logic: The script accurately identifies session periods based on user-defined start and end times in conjunction with the selected UTC offset. This ensures the session boxes and data are correctly aligned regardless of your local timezone or daylight saving changes.
Volatility Calculation: The core of the volatility engine is a comparison of current and historical price action. The script calculates a rolling Average True Range (ATR) over a user-defined lookback period (e.g., the last 20 sessions). It then compares the current session's ATR to this historical baseline to generate a simple percentage. For example, a reading of "135%" indicates the current session is 35% more volatile than the recent average, while "80%" indicates a contraction in volatility.
Dashboard Population : The script leverages TradingView's table object to construct the dashboard. This powerful feature allows the data to be displayed in a fixed position on the screen (e.g., top-right corner). Unlike plotted text, this table does not scroll with the chart's price history, ensuring that the most critical, up-to-date information is always available at a glance.
█ ACTIONABLE INTELLIGENCE: TRADING STRATEGIES & USE CASES
Translate data into action with these practical trading concepts.
Strategy 1: The Breakout Trade: Identify a session with low, coiling volatility (e.g., a Volatility reading below 75%)—often the Asian session. Mark the session high and low plotted by the indicator. These levels become prime targets for a potential breakout trade during the high-volume, high-volatility open of the subsequent London session.
Strategy 2 : The Mean Reversion (Fade) Trade: In a session with extremely high volatility (e.g., >150% of average), watch for price to rapidly extend to a new session high or low and then print a clear reversal candlestick pattern (like a pin bar or engulfing candle). This can signal momentum exhaustion and a high-probability opportunity to "fade" the move back toward the session midpoint.
Strategy 3 : The Trend Continuation: During a clear trending day, use the session midpoint as a dynamic area of value. Look for price to pull back to the midpoint during the London or New York session. If the session's Bias in the dashboard remains aligned with the higher-timeframe trend, this can present a quality entry to rejoin the established momentum.
█ COMPLETE CUSTOMIZATION: SETTINGS
Session Times: Independently set the start and end times for Asia, London, and New York sessions.
Timezone: Select your preferred UTC offset to align all sessions correctly.
Volatility Lookback: Define the number of past sessions to use for calculating the average volatility baseline (default is 20).
Dashboard Settings: Choose the on-screen position of the table, text size, and colors.
Visual Elements: Toggle on/off session background colors, high/low lines, and midpoint lines. Customize all colors.
Alerts: Enable/disable and customize alerts for session high/low breaks and volatility threshold crossings.
Top Crypto Above 28-Day AverageDescription
The “Top Crypto Above 28-Day Average” (CRYPTOTW) script scans a selectable universe of up to 120 top-capitalization cryptocurrencies (divided into customizable 40-symbol batches), then plots the count of those trading above their own 28-period simple moving average. It helps you gauge broad market strength and identify which tokens are showing momentum relative to their recent trend.
Key Features
• Batch Selection: Choose among “Top40,” “Mid40,” or “Low40” market-cap groups, or set a custom batch size (up to 40 symbols) to keep within the API limit.
• Dynamic Plot: Displays a live line chart of how many cryptos are above their 28-day MA on each bar.
• Reference Lines: Automatic horizontal lines at 25%, 50%, and 75% of your batch to provide quick visual thresholds.
• Background Coloration: The chart background shifts green/yellow/red based on whether more than 70%, 50–70%, or under 50% of the batch is above the MA.
• Optional Table: On the final bar, show a sortable table of up to 28 tickers currently above their 28-day MA, including current price, percent above MA, and “Above” status color-coding.
• Alerts:
• Strong Batch Performance: Fires when >70% of the batch is above the MA.
• Weak Batch Performance: Fires when <10 cryptos (i.e. <25%) are above the MA.
Inputs
• Show Results Table (show_table): Toggle the detailed table on/off.
• Table Position (table_position): Select one of the four corners for your table overlay.
• Max Cryptos to Display (max_display): Limit the number of rows in the results table.
• Current Batch (current_batch): Pick “Top40,” “Mid40,” or “Low40.”
• Batch Size (batch_size): Define the number of symbols (1–40) you want to include from the chosen batch.
How to Use
1. Add the CRYPTOTW indicator to any chart.
2. Select your batch and size to focus on the segment of the crypto market you follow.
3. Watch the plotted line to see the proportion of tokens with bullish momentum.
4. (Optional) Enable the results table to see exactly which tokens are outperforming their 28-day average.
5. Set alerts to be notified when the batch either overheats (strong performance) or cools off significantly.
Why It Matters
By tracking the share of assets riding their 28-day trend, you gain a macro-level view of market breadth—crucial for spotting emerging rallies or early signs of broad weakness. Whether you’re swing-trading individual altcoins or assessing overall market mood, this tool distills complex data into an intuitive, actionable signal.
Session HL + Candles + AMD (Nephew_Sam_)Session HL + Candles + AMD (Nephew_Sam_)
This indicator marks out intraday sessions summarized into single candles, with an additional option to mark out the HL of each session. Perfect for understanding AMD within a glance (accumulation-manipulation-distribution)
Features:
Session High/Low lines with customizable colors and labels
Optional session candles displayed on the right side of the chart
Timezone support for global traders
Customizable bull/bear candle colors
Works on timeframes up to 1 hour
Perfect for:
Identifying session liquidity levels
Tracking session ranges and breakouts
Multi-timeframe session analysis
ICT methodology traders
Settings:
Choose your timezone for accurate session detection
Toggle session candles and HL lines independently
Customize colors, line styles, and labels
Set maximum timeframe (up to 1 hour)
SCPEM - Socionomic Crypto Peak Model (0-85 Scale)SCPEM Indicator Overview
The SCPEM (Socionomic Crypto Peak Evaluation Model) indicator is a TradingView tool designed to approximate cycle peaks in cryptocurrency markets using socionomic theory, which links market behavior to collective social mood. It generates a score from 0-85 (where 85 signals extreme euphoria and high reversal risk) and plots it as a blue line on the chart for visual backtesting and real-time analysis.
#### How It Works
The indicator uses technical proxies to estimate social mood factors, as Pine Script cannot fetch external data like sentiment indices or social media directly. It calculates a weighted composite score on each bar:
- Proxies derive from price, volume, and volatility data.
- The raw sum of factor scores (max ~28) is normalized to 0-85.
- The score updates historically for backtesting, showing mood progression over time.
- Alerts trigger if the score exceeds 60, indicating high peak probability.
Users can adjust inputs (e.g., lengths for RSI or pivots) to fine-tune for different assets or timeframes.
Metrics Used (Technical Proxies)
Crypto-Specific Sentiment
Approximated by RSI (overbought levels indicate greed).
Social Media Euphoria
Based on volume relative to its SMA (spikes suggest herding/FOMO).
Broader Social Mood Proxies
Derived from ATR volatility (high values signal uncertain/mixed mood).
Search and Cultural Interest Proxied by OBV trend (rising accumulation implies growing interest).
Socionomic Wildcard
Uses Bollinger Band width (expansion for positive mood, contraction for negative).
Elliott Wave Position
Counts recent price pivots (more swings indicate later wave stages and exhaustion).
ICT & Zeussy Macro - Vertical Lines at Specific Times 1.0# ICT & Zeussy Macro - Vertical Lines at Specific Times 1.0
## Description
The **ICT & Zeussy Macro - Vertical Lines at Specific Times 1.0** is a Pine Script indicator designed for TradingView to plot vertical lines at user-defined times within each hour, making it a valuable tool for traders following ICT (Inner Circle Trader) and Zeussy macro strategies. The indicator allows users to mark specific times during the trading day with customizable vertical lines, helping to highlight key market moments such as macro times for analysis or trade planning.
## Key Features
- **Customizable Time Selection**: Choose specific hours (00:00 to 23:00) to display vertical lines using checkboxes in the settings.
- **Flexible Minute Inputs**: Define exact minutes for green and orange lines using comma-separated values (e.g., "45,15" for green lines at :45 and :15, or "50,0,10" for orange lines at :50, :00, :10).
- **Color and Style Customization**: Select colors for green and orange lines, as well as the line style (Solid, Dashed, or Dotted) to suit your chart preferences.
- **Historical and Future Plotting**: Configure the number of past and future days to display lines, allowing for analysis of historical patterns or planning for upcoming sessions.
- **Line Limit Management**: The indicator supports up to 500 lines to comply with TradingView's limits, with a warning label displayed if the maximum is reached.
## How It Works
The indicator plots vertical lines at specified minutes within selected hours for each chosen day:
- **Green Lines**: Drawn at user-defined minutes (default: :45 and :15 past the hour).
- **Orange Lines**: Drawn at user-defined minutes (default: :50, :00, and :10 past the hour).
- Users can enable or disable specific hours via checkboxes, and the lines are plotted for the specified number of past and future days.
- The indicator uses the chart's timezone to ensure accurate placement of lines relative to the market's session times.
## Usage
1. **Add to Chart**: Apply the indicator to your TradingView chart.
2. **Configure Settings**:
- In the "Hour Selection" group, check the boxes for the hours you want to display lines (e.g., 08:00 to 23:00 are enabled by default).
- In the "Green Minutes" and "Orange Minutes" fields, enter comma-separated minute values (e.g., "45,15" for green, "50,0,10" for orange).
- Adjust the "Days in Past" and "Days in Future" to control how many days the lines will cover.
- Customize the "Green Color", "Orange Color", and "Line Style" to match your chart aesthetics.
3. **Monitor Limits**: If you see a "Line limit reached (500 max)" warning, reduce the number of selected hours or days to stay within TradingView's line limit.
## Ideal For
- Traders using ICT or Zeussy macro strategies to identify key times for market analysis.
- Users who need to mark recurring time-based events on their charts.
- Technical analysts looking to visualize specific time intervals across multiple days.
## Notes
- Ensure that the number of selected hours and days does not exceed TradingView's 500-line limit to avoid missing lines.
- The indicator respects the chart's timezone, so verify that your chart's timezone aligns with your trading session.
- For optimal performance, limit the number of past and future days when using multiple hours to avoid hitting the line limit.
This indicator is perfect for traders who rely on precise timing for their strategies, offering a clean and customizable way to visualize critical market moments.
z-score-calkusi-v1.143z-scores incorporate the moment of N look-back bars to allow future price projection.
z-score = (X - mean)/std.deviation ; X = close
z-scores update with each new close print and with each new bar. Each new bar augments the mean and std.deviation for the N bars considered. The old Nth bar falls away from consideration with each new historical bar.
The indicator allows two other options for X: RSI or Moving Average.
NOTE: While trading use the "price" option only.
The other two options are provided for visualisation of RSI and Moving Average as z-score curves.
Use z-scores to identify tops and bottoms in the future as well as intermediate intersections through which a z-score will pass through with each new close and each new bar.
Draw lines from peaks and troughs in the past through intermediate peaks and troughs to identify projected intersections in the future. The most likely intersections are those that are formed from a line that comes from a peak in the past and another line that comes from a trough in the past. Try getting at least two lines from historical peaks and two lines from historical troughs to pass through a future intersection.
Compute the target intersection price in the future by clicking on the z-score indicator header to see a drag-able horizontal line to drag over the intersection. The target price is the last value displayed in the indicator's status bar after the closing price.
When the indicator header is clicked, a white horizontal drag-able line will appear to allow dragging the line over an intersection that has been drawn on the indicator for a future z-score projection and the associated future closing price.
With each new bar that appears, it is necessary to repeat the procedure of clicking the z-score indicator header to be able to drag the drag-able horizontal line to see the new target price for the selected intersection. The projected price will be different from the current close price providing a price arbitrage in time.
New intermediate peaks and troughs that appear require new lines be drawn from the past through the new intermediate peak to find a new intersection in the future and a new projected price. Since z-score curves are sort of cyclical in nature, it is possible to see where one has to locate a future intersection by drawing lines from past peaks and troughs.
Do not get fixated on any one projected price as the market decides which projected price will be realised. All prospective targets should be manually updated with each new bar.
When the z-score plot moves outside a channel comprised of lines that are drawn from the past, be ready to adjust to new market conditions.
z-score plots that move above the zero line indicate price action that is either rising or ranging. Similarly, z-score plots that move below the zero line indicate price action that is either falling or ranging. Be ready to adjust to new market conditions when z-scores move back and forth across the zero line.
A bar with highest absolute z-score for a cycle screams "reversal approaching" and is followed by a bar with a lower absolute z-score where close price tops and bottoms are realised. This can occur either on the next bar or a few bars later.
The indicator also displays the required N for a Normal(0,1) distribution that can be set for finer granularity for the z-score curve.This works with the Confidence Interval (CI) z-score setting. The default z-score is 1.96 for 95% CI.
Common Confidence Interval z-scores to find N for Normal(0,1) with a Margin of Error (MOE) of 1:
70% 1.036
75% 1.150
80% 1.282
85% 1.440
90% 1.645
95% 1.960
98% 2.326
99% 2.576
99.5% 2.807
99.9% 3.291
99.99% 3.891
99.999% 4.417
9-Jun-2025
Added a feature to display price projection labels at z-score levels 3, 2, 1, 0, -1, -2, 3.
This provides a range for prices available at the current time to help decide whether it is worth entering a trade. If the range of prices from say z=|2| to z=|1| is too narrow, then a trade at the current time may not be worth the risk.
Added plot for z-score moving average.
28-Jun-2025
Added Settings option for # of Std.Deviation level Price Labels to display. The default is 3. Min is 2. Max is 6.
This feature allows likelihood assessment for Fibonacci price projections from higher time frames at lower time frames. A Fibonacci price projection that falls outside |3.x| Std.Deviations is not likely.
Added Settings option for Chart Bar Count and Target Label Offset to allow placement of price labels for the standard z-score levels to the right of the window so that these are still visible in the window.
Target Label Offset allows adjustment of placement of Target Price Label in cases when the Target Price Label is either obscured by the price labels for the standard z-score levels or is too far right to be visible in the window.
9-Jul-2025
z-score 1.142 updates:
Displays in the status line before the close price the range for the selected Std. Deviation levels specified in Settings and |z-zMa|.
When |z-zMa| > |avg(z-zMa)| and zMa rising, |z-zMa| and zMa displays in aqua.
When |z-zMa| > |avg(z-zMa)| and zMa falling, |z-zMa| and zMa displays in red.
When |z-zMa| <= |avg(z-zMa)|, z and zMa display in gray.
z usually crosses over zMa when zMa is gray but not always. So if cross-over occurs when zMa is not gray, it implies a strong move in progress.
Practice makes perfect.
Use this indicator at your own risk
Z-Score Multi-Model ClusteringA price/volume clustering framework combining three market behavior models into a single indicator. Designed to help identify emerging trend strength, turning points, and volatility-driven entries or exits.
🔍 How It Works
This indicator classifies market states by comparing normalized price/volume behavior (via Z-Score) to different types of statistical or geometric "cluster centers." You can choose from three clustering approaches:
🧠 Clustering Models
1. Percentile (Z+CVD) – Trend Momentum Bias
Uses volume Z-Score + Cumulative Volume Delta (CVD).
Detects institutional pressure by clustering volume surges with directional delta.
Best for: Breakouts, momentum trades, volume-led reversals.
Cluster Colors:
🔹 Green triangle = Strong bullish confluence
🔻 Red triangle = Bearish divergence (bull trap risk)
⚪ Gray = Neutral/low conviction
2. Euclidean (Z+Slope) – Swing Mean-Reversion
Measures the angle of recent Z-score slope and compares it to directional cluster centers.
Helps detect early directional shifts or exhaustion.
Best for: Swing entries, pullback setups, exit timing
3. Hilbert Phase – Turn Detection via Signal Phase
Applies Hilbert Transform to the Z-Score, measuring the phase difference between trend and oscillator components.
Ideal for anticipating turns or detecting cyclical inflection points.
Useful for: Scalping, top/bottom spotting, volatility fades
✅ Features
Auto-updating cluster logic based on current data
Tooltips and clean user interface
Optional cluster bar coloring (can be toggled off)
Signal-only plotting keeps candlesticks readable
Clear entry/exit logic with triangle markers
Supports trend, swing, and oscillation-based systems
🛠️ Suggested Use Cases
Combine with VWAP, Session High/Low, or Liquidity Zones to confirm entry conditions.
Use Cluster 2 (strong bullish) on pullbacks to trend structure for add-on entries.
Use Cluster 1 in strong trends to watch for potential traps or exits.
Toggle models based on your strategy: e.g., Hilbert for scalping, Percentile for macro trend breaks.
🧪 Best Timeframes
Works across all markets and timeframes
For Percentile (Z+CVD), use intraday TF with 1m–5m CVD source
Hilbert and Euclidean preferred on 5m–1h for accurate slope/phase signals
⚠️ Notes
Clusters do not generate trade signals alone; use them in context with structure, VWAP, or trend filters.
Marker signals are filtered with a magnitude threshold to reduce noise.
BitDoctor Risk Appetite DashboardBitDoctor Risk Appetite Dashboard
The BitDoctor Risk Appetite Dashboard is a powerful tool for gauging market sentiment and risk appetite across major asset classes. It combines equity, credit, emerging markets, interest rates, and crypto signals into a single dashboard, giving traders a clear view of current market dynamics.
What it does:
- Calculates momentum for each key asset using a 14-day rate of change.
- Normalizes each signal and plots a composite Risk Appetite Strength Index (RASI) on the chart.
- Displays a dashboard table showing the momentum of each component in percentage terms alongside the composite RASI.
How to use it:
The plotted RASI line shows overall risk appetite:
- Positive readings suggest a stronger risk-on environment.
- Negative readings indicate risk-off sentiment.
The dashboard table (top-right corner by default) displays two columns:
- Asset : The tracked asset symbol.
- Momentum : The current 14-day rate of change as a percentage.
Interpreting the table:
Each row represents a component of market risk sentiment:
- SPY : US equities.
- HYG : High yield bonds (credit risk appetite).
- EEM : Emerging markets.
- 1/UST10Y : Inverted 10-year Treasury yield (lower yields support risk appetite).
- ETH : Ethereum (crypto risk proxy).
- RASI : The average of the above signals, indicating overall market risk appetite.
Higher positive values in the table suggest rising momentum in that asset, which contributes positively to the composite RASI. Conversely, negative values signal declining momentum. You can use these individual readings to see which sectors are driving the current risk sentiment and to time entries and exits accordingly.
Customization:
The indicator allows you to adjust the table's background color, text color, text size, cell padding, and position so it remains readable and unobtrusive regardless of your chart theme.
Use the BitDoctor Risk Appetite Dashboard as part of a broader analysis to align your trades with prevailing risk conditions. It is not a standalone trading signal but a context tool to support better decision-making.
Why these assets were chosen:
The dashboard uses a carefully selected mix of widely-followed proxies for global risk sentiment:
- SPY : Represents large-cap US equity market performance, a key barometer of investor confidence.
- HYG : Tracks high-yield corporate bonds, reflecting credit risk appetite in fixed income markets.
- EEM : Captures emerging market equities, which are highly sensitive to global risk-on/off dynamics.
- 1/UST10Y : The inverse of the US 10-year Treasury yield, as falling yields often accompany risk-on moves and vice versa.
- ETH : Ethereum as a representative crypto asset, offering insight into speculative risk appetite in digital assets.
This mix provides a comprehensive view of sentiment across traditional and alternative markets, making the dashboard a robust tool for gauging overall risk appetite.
ICT Time CaptureICT 8am High/Low + 9am Capture (NY Time) — Fixed 1H
This indicator marks the High and Low of the 8am candle on the 1-hour timeframe fixed to New York time (America/New_York timezone). It also draws a line for the 9am candle open and indicates if the 9am candle “captured” (broke above or below) the 8am High or Low.
Key Features:
Always uses 1-hour data fixed on New York timezone, regardless of the chart’s current timeframe.
Draws horizontal lines for the 8am High and Low, with configurable colors, styles (solid/dashed), thickness, and extension length.
Draws a horizontal line for the 9am open price with customizable style.
Shows labels with price values explaining the lines.
Shows a capture label when the 9am candle breaks above the 8am high or below the 8am low.
Allows full customization of label text colors, line colors, line styles, thickness, and label distances from line start.
How to use:
Use this indicator to monitor key ICT timeframes (8am and 9am NY time) for intraday price action clues.
The capture labels help identify when price breaks key levels from the 8am candle during the 9am candle.
The configurable style options let you customize the indicator to your chart style.