Risk On/Off Index [SwissAlgo]Risk On/Off Index - Sector Rotation Analysis
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What it does:
This indicator estimates market risk appetite by comparing the weighted performance of growth/cyclical sectors (Risk-On) against defensive sectors (Risk-Off).
It provides a normalized oscillator that ranges from -1 (extreme risk-off) to +1 (extreme risk-on), which may help traders identify potential shifts in market sentiment and sector rotation patterns.
The analysis examines whether institutional money flows favor aggressive growth assets or seek safety in defensive positions, potentially offering insights into the underlying risk tolerance that drives market movements. When properly interpreted alongside other analyses, this information could assist in understanding broader market cycles and sentiment transitions.
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How it works:
The indicator analyzes 11 major sector ETFs weighted by their actual market capitalization representation:
Risk-On sectors (70% weight) : Technology (28%), Financials (11%), Consumer Discretionary (10%), Communication (9%), Industrials (8%), Energy (4%), Materials (2.5%), Real Estate (2%)
Risk-Off sectors (30% weight) : Healthcare (13%), Consumer Staples (6%), Utilities (2.5%)
The algorithm calculates the weighted performance difference over your selected timeframe (7 days to 12 months) and normalizes it using three methods: Simple Difference, Tanh Normalized, or Historical Range. A 7-period EMA smooths the signal, while a longer signal line (default 50) provides trend context.
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Visual Features:
Main curve (Risk Appetite Delta) : The primary line shows the smoothed (7-period EMA) risk appetite reading. When above zero, growth sectors are outperforming defensive sectors (risk-on sentiment). When below zero, defensive sectors are outperforming growth sectors (risk-off sentiment).
Signal line : A longer EMA (default 50-period) of the risk appetite data that represents the underlying trend. Crossovers between the main curve and signal line may indicate potential momentum shifts in market sentiment (potential long signal when the crossover happens in extreme risk-off zones, and potential short signal when the crossunder occurs in extreme risk-on zones)
Dynamic color coding : The main curve color reflects both position and momentum:
Red : Risk-on territory (>0) with strengthening momentum (above signal line)
Green : Risk-on territory (>0) but weakening momentum (below signal line) - potential reversal warning
Maroon : Risk-off territory (<0) but strengthening momentum (above signal line) - potential reversal warning
Lime : Risk-off territory (<0) with strengthening momentum (below signal line)
Gradient background zones : Subtle fills indicate risk appetite intensity levels from moderate (0 to ±0.25) through strong (±0.25 to ±0.5) to extreme (±0.5 to ±1.0)
Sector breakdown table : Shows individual sector performance with clear Risk-On/Risk-Off categorization
Reference levels : Horizontal lines mark neutral (0), strong (±0.5), and extreme (±1) risk appetite zones
This color system allows traders to quickly assess not just current sentiment (above/below zero) but also whether that sentiment is strengthening or potentially reversing based on the relationship with the signal line.
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Who may benefit:
Portfolio managers rotating between growth and defensive allocations
Swing traders timing sector rotation plays
Risk managers monitoring overall market sentiment
Asset allocators adjusting exposure based on risk appetite cycles
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Key applications:
Identify when markets transition from growth-seeking to risk-averse behavior
Time entries into cyclical sectors during risk-on phases
Rotate to defensive sectors when risk appetite weakens
Spot divergences between individual stocks and broader market sentiment
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Limitations:
This indicator reflects US equity sector dynamics and may not capture risk sentiment in other asset classes or geographic regions. ETF-based analysis introduces slight tracking differences from underlying sector performance. Past performance patterns do not guarantee future results.
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Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial advice or trading recommendations. Users should conduct their own analysis and risk assessment before making investment decisions. SwissAlgo assumes no responsibility for trading losses or investment outcomes based on this indicator's signals.
사이클
JXMJXRS - Macro Flow CompassThe Macro Flow Compass is designed to give a high-level view of market behaviour by tracking how capital is moving across the crypto ecosystem. It’s not an entry or exit tool. Instead, it helps identify when the overall environment is shifting, whether capital is favouring majors like BTC and ETH, rotating into altcoins, or moving into stables.
The goal is to keep you aligned with broader market cycles, so trades are taken with macro context in mind.
The script works by analyzing four key metrics:
Total crypto market cap (CRYPTOCAP:TOTAL)
Bitcoin dominance (CRYPTOCAP:BTC.D)
Ethereum dominance (CRYPTOCAP:ETH.D)
Combined stable coin dominance from USDT and USDC (CRYPTOCAP:USDT.D + USDC.D)
These are smoothed using a basic EMA (Exponential Moving Average) to reduce noise. The script then checks for changes in dominance and market cap slope to detect when capital is likely flowing into or out of specific sectors.
When certain conditions align, the script will shade the background with one of the following colours:
Green Panel – Risk-on behaviour in majors. Usually appears when total market cap is trending up and BTC dominance is dropping, or stable coin dominance is falling. It suggests BTC and ETH are likely receiving capital inflow, not necessarily pumping but positioned better for upside.
Orange Panel – Altcoin rotation. Happens when ETH dominance is rising or stables are pulling back, while the market cap is also rising. These tend to precede altcoin outperformance phases.
Blue Panel – Stable coin build-up. Signals increasing stable coin dominance. Often a defensive move, either after a drop or in anticipation of volatility. This can mean risk-off conditions.
The indicator uses three main settings:
Smoothing Length – Controls how reactive the EMAs are. Lower values react quicker to short-term changes; higher values will slow things down and highlight more persistent trends.
Dominance Flip Threshold (%) – Sets how much a dominance value must change in one bar to trigger a condition. It’s there to avoid reacting to tiny shifts that don’t really matter.
Macro Cap Slope Length – Determines how the macro market cap trend is calculated. It looks at the slope of a long-term regression to decide if we’re in an uptrend or downtrend.
This tool works on higher timeframes like the weekly or monthly, and it’s especially useful when combined with your own technical analysis.
Daily Performance Analysis [Mr_Rakun]The Daily Performance Analysis indicator is a comprehensive trading performance tracker that analyzes your strategy's success rate and profitability across different days of the week and month. This powerful tool provides detailed statistics to help traders identify patterns in their trading performance and optimize their strategies accordingly.
Weekly Performance Analysis:
Tracks wins/losses for each day of the week (Monday through Sunday)
Calculates net profit/loss for each trading day
Shows profit factor (gross profit ÷ gross loss) for each day
Displays win rate percentage for each day
Monthly Performance Analysis:
Monitors performance for each day of the month (1-31)
Provides the same detailed metrics as weekly analysis
Helps identify monthly patterns and trends
Add to Your Strategy:
Copy the performance analysis code and integrate it into your existing Pine Script strategy
Optimize Strategy: Use insights to refine entry/exit timing or avoid trading on poor-performing days
Pattern Recognition: Identify which days of the week/month work best for your strategy
Risk Management: Avoid trading on historically poor-performing days
Strategy Optimization: Fine-tune your approach based on empirical data
Performance Tracking: Monitor long-term trends in your trading success
Data-Driven Decisions: Make informed adjustments to your trading schedule
Slope Based Divergences of Wavelet - (Multi-Length, Dual Price)
1. Summary
This is not a typical divergence indicator. Instead of comparing simple peaks and troughs in price and an oscillator, the Slope-Based Divergence Engine performs a far more rigorous analysis by measuring the rate of change (slope) itself.
It identifies high-probability divergence opportunities by detecting moments when price is accelerating strongly in one direction while the underlying momentum, measured by a sophisticated Scientific Wavelet Oscillator, is accelerating in the opposite direction. By requiring confirmation from two different price sources (high and low) and across multiple timeframes, it aims to filter out noise and pinpoint only the most potent moments of market exhaustion.
2. The Core Innovation: Why Slope?
Traditional divergence indicators look at levels (e.g., price made a higher high, RSI made a lower high). This script looks at momentum's momentum.
Traditional Method: "Price went up, but momentum went down."
This Script's Method: "Price is accelerating upwards faster than ever, but momentum is decelerating faster than ever."
By focusing on the slope, the indicator identifies points of maximum stress and disagreement in the market, which often precede sharp reversals.
3. Key Components & Logic
The script's power comes from its multi-layered filtering system:
Scientific Wavelet Oscillator: The indicator's engine is a custom oscillator built using a Haar Wavelet Transform. Unlike standard oscillators (like RSI or Stochastics) that use a single period, this one analyzes the price across multiple different time scales (or "octaves") simultaneously. It then fuses this information into a single, robust momentum reading that is normalized using a statistical Z-score.
Multi-Length Average Slope: The script doesn't just calculate a single slope. It calculates the slope across a range of lookback periods (e.g., from 1 to 30 bars) and then averages them. This creates a much smoother and more reliable measure of the trend's current velocity, filtering out the noise from any single period.
Dual Price Confirmation: To qualify a price trend, the script requires that the slope of two separate price sources (by default, high and low) are both in agreement. For a bearish divergence, the slopes of both the session high and low must be accelerating upwards aggressively. This ensures the entire price bar is participating in the move and avoids false signals from wicks or narrow ranges.
Multi-Timeframe Percent Rank: The script uses percentrank to normalize the calculated slopes, putting them on a scale of 0 to 100. This allows it to identify statistically extreme readings. A divergence is only confirmed if it meets the criteria on both a Long-Term (LL) and Short-Term (LS) lookback. This ensures the signal is not just a momentary fluke but is a valid point of exhaustion in both the immediate and broader context.
4. How to Interpret the Signals
The indicator plots simple labels on the chart when all conditions are met:
Green "Bull" Label (Bullish Divergence): Appears when:
The slopes of both high and low are accelerating downwards (in the bottom 8% of their historical readings for both long and short lookbacks).
Simultaneously, the slope of the wavelet oscillator is accelerating upwards (in the top 92% of its historical readings).
Meaning: Price is in a state of free-fall, but the underlying momentum is aggressively turning up. This signals that selling pressure is likely exhausted.
Red "Bear" Label (Bearish Divergence): Appears when:
The slopes of both high and low are accelerating upwards (in the top 92% of their historical readings).
Simultaneously, the slope of the wavelet oscillator is accelerating downwards (in the bottom 8% of its historical readings).
Meaning: Price is in a state of extreme ascent (a "blow-off top"), but the underlying momentum is collapsing. This signals that buying pressure is likely exhausted.
5. How to Use in Trading
Reversal Signals: The labels should be treated as high-probability signals that a trend is exhausted and a reversal or significant pullback is imminent.
Confirmation Tool: Do not use the labels as standalone entry signals. Always seek confirmation from other forms of analysis, such as a break of a trendline, a key support/resistance level holding, or a classic candlestick reversal pattern.
Exit Signals: A bearish divergence label can serve as a powerful signal to take profit on long positions, and a bullish label can be a signal to cover shorts.
Dudix 1-2-3 TABELKA lot (EMA238)This indicator is designed to detect 1-2-3 reversal patterns within a clearly defined trend, using a triple EMA filter (EMA 20, EMA 50, and EMA 238).
By requiring that the EMAs be aligned (e.g., EMA 20 > EMA 50 > EMA 238 for an uptrend), the script effectively avoids false signals during sideways/consolidation phases, focusing only on entries in the direction of the dominant trend.
It highlights both Bullish 1-2-3 and Bearish 1-2-3 formations based on price structure and EMA positioning.
Additionally, the indicator includes a customizable point-distance calculator that shows how far the current candle’s close is from the EMA 50, helping traders gauge momentum or entry timing. The point size can be adjusted (e.g., 0.00001 for GBPUSD or 0.01 for JPY pairs) directly from the settings panel.
✅ Ideal for scalpers and intraday traders who want to:
Trade with the trend
Avoid chop and consolidation
Enter on price confirmation patterns
Seasonality Seasonality chart showing accurate monthly average % gains and win rate over a user defined time period.
The chart displays the possible pattern of price moves over the year and aligns with the start of the current year, projecting into the future.
Works on both calendar day and trading day charts. Not suitable for other timeframes.
Momentum Candle ProjectionThis indicator projects future price momentum by calculating a directional vector from recent price movements. It uses a custom implementation of the atan2 function to create a vector average of the last N candles and visualizes this projection as a synthetic future candle.
🔍 What It Does:
✅ Tracks recent momentum using geometric vectors from price change.
✅ Projects a synthetic "momentum candle" one bar ahead, showing anticipated direction and magnitude.
✅ Optionally plots a secondary "future candle" based on a smoothed estimate of projected price vs. real current close.
⚙️ Settings:
Vector Lookback (bars): Controls how many bars are used to calculate the momentum vector.
Projection Length Multiplier: Adjusts how far forward the vector is projected based on its strength.
🟢 How To Use:
Use the lime/red projection candle to anticipate short-term directional bias.
Use the orange/maroon future candle to compare projected continuation vs. current closing price.
Spot early reversals, continuation zones, and momentum decay in real-time.
Gold vs DXYThe 30-day rolling correlation between Gold (XAU/USD) and the US Dollar Index (DXY) shows how closely the two move together — or more often, in opposite directions — over the last 30 trading days. In most market environments, the relationship is pretty straightforward: when the dollar goes up, gold tends to go down, and vice versa. That’s because gold is priced in dollars, so a stronger dollar makes it more expensive for international buyers, which usually softens demand.
But it’s not always that simple. There are times when this inverse correlation breaks down. For example, if real yields (like the US 10-year yield minus inflation expectations) are rising, that can pressure gold even if the dollar is falling — because higher real returns elsewhere make gold less attractive. Another case is when other currencies, like the euro or yen, rally strongly on their own central bank decisions. This can pull DXY lower without necessarily signaling weakness in the U.S. economy — meaning gold might not benefit much.
There are also “risk-on” moments where investors rotate into equities or crypto, selling off both gold and the dollar in favor of yield or momentum. And during periods of crisis or uncertainty, both gold and the dollar can rise together as safe-haven assets, breaking the usual pattern entirely.
That’s why tracking the rolling correlation is helpful. It shows whether the historical relationship between gold and the dollar is still holding — or if we’re entering a different market regime. It’s not about predicting exact price moves, but about understanding the current backdrop. When gold and DXY are moving out of sync as expected, it can support your trade thesis. But when the correlation flattens or flips, it’s often a sign to dig deeper — macro forces may be shifting.
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.
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🛠️ 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.
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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.
