SwingArm High Pressure V6.7.3SwingArm High Pressure V6.7.3 - User Guide
Overview
SwingArm High Pressure is a multi-timeframe trading indicator designed to identify high-probability entry zones and profit targets. This indicator works best when combined with the standard SwingArm indicator to display 8-hour and higher timeframes for complete market analysis.
Key Features
1. Multi-Timeframe Analysis
Chart Timeframe (CT): Your primary entry timeframe
Higher Timeframe 1 (HTF1): Secondary confirmation and targets
Higher Timeframe 2 (HTF2): Extended swing targets
2. Trading Type Selection
Choose between two preset configurations:
CT/15m/1H: For day trading and scalping
CT/2H/4H: For swing trading (recommended to pair with standard SwingArm for 8H+ timeframes)
3. Entry Zones
Optimal Entry Boxes (High-Pressure Zones)
BLUE boxes: Bullish optimal entry zones (high-pressure buying opportunity)
YELLOW boxes: Bearish optimal entry zones (high-pressure selling opportunity)
These represent the highest probability entries when price reaches these levels
Fresh SwingArm Zones
GREEN zones: Freshly created bullish swingarm areas
RED zones: Freshly created bearish swingarm areas
Deeper entries into zones (78.6%-88.6%) provide better risk/reward ratios
4. Fibonacci Levels
Each swingarm zone contains three Fibonacci retracement levels:
Fib. 61.8%: Early entry (consider waiting for deeper levels)
Fib. 78.6%: Good entry opportunity
Fib. 88.6%: Deep entry with excellent risk/reward
5. Zone Labels
The indicator automatically labels zones based on their function:
Internal Zones (shorter timeframes):
Display as "INTERNAL - Buy/Sell Zones"
May cycle multiple times before reaching targets
Best for scalping and quick trades
External Zones (higher timeframes):
Display as "EXTERNAL TARGET - Take Profit"
Primary profit-taking areas
Use for swing trade exits
Trading Strategy
Entry Setup
Wait for fresh zone creation (green/red zones appear)
Identify optimal entry boxes (blue/yellow high-pressure areas)
Enter at Fibonacci levels:
Best entries: 78.6%-88.6% (deeper is better)
Acceptable: 61.8% (but watch for deeper retracements)
Trade Management
Stop Loss: Place below swingarm low (long) or above swingarm high (short)
Targets: Use higher timeframe zones for profit objectives
Internal vs External: Internal zones may flip multiple times; external zones are swing targets
Timeframe Hierarchy
Lower timeframe zones = Entry areas
Higher timeframe zones = Target/profit areas
Example: Enter at 15M zones, target 2H/4H zones for exits
Alert System
Available Alerts
Fresh SwingArm Zone Alerts: Notifies when new green/red zones are created
Fib. 88.6% Break Alerts: Deepest entry level touched
Fib. 78.6% Break Alerts: Good entry level touched
Fib. 61.8% Break Alerts: Early entry level touched
Pressure ON / Optimal Alerts: High-pressure zones activated
Circle Alerts: Pressure signal confirmations
Probability Alerts: Set threshold for long/short probability notifications
Alert Messages Include:
Entry quality rating (DEEPEST, DEEP, GOOD, EARLY)
Current price level
Risk/reward guidance
Target zone information
Probability System
The indicator calculates buying and selling pressure across multiple timeframes:
Long Probability: Bullish pressure percentage
Short Probability: Bearish pressure percentage
Set custom thresholds (default 50%) to receive alerts only when probability exceeds your criteria
Customization Options
Visual Settings
RSI Candle Colors: Enable/disable and customize overbought (blue) and oversold (red) candle colors
Label Display: Toggle individual Fibonacci level labels (61.8%, 78.6%, 88.6%)
Label Colors: Customize colors for long and short labels
Label Size: Adjust label size (Tiny to Huge)
Swingarm Pressure Labels: Show/hide zone break labels
Table Display
Probability Status Table: Shows current pressure analysis
Swingarm Status: Displays current swingarm states across timeframes
Position & Size: Customize table location and text size
Statistics Table
Break Statistics: Track swingarm breaks over time
Performance Metrics: View historical break data per timeframe
Best Practices
Combine with Standard SwingArm: Use the regular SwingArm indicator to display 8-hour and higher timeframes for complete market structure
Respect Timeframe Hierarchy: Always enter on lower timeframes and target higher timeframes
Wait for Deep Entries: The 78.6% and 88.6% levels offer the best risk/reward ratios
Watch Internal Cycles: Shorter timeframe zones may reverse multiple times - don't expect straight-line moves to targets
Use Optimal Entry Boxes: Blue and yellow high-pressure zones provide the highest probability setups
Confirm with Multiple Timeframes: Look for alignment across all three selected timeframes for strongest signals
Notes
This indicator is optimized for 1m, 15m, 1H, 2H, and 4H timeframes
For best results, use in conjunction with proper risk management
Entry opportunities include both optimal entry boxes AND fresh swingarm zones
Deeper zone entries consistently provide better risk/reward ratios
Support
For questions or assistance, refer to the indicator settings tooltips or contact the developer through x.
Disclaimer:
This indicator is for educational purposes. Always practice proper risk management and never risk more than you can afford to lose.
Recherche dans les scripts pour "Cycle"
Alt Coin Season Indicator v2Trend Core Strategy with Alt Season Filter
This script is a comprehensive trend-following strategy designed to identify high-probability long entries for altcoins. It combines a core mean-reversion setup with a powerful, two-layer "Alt Season" filter to ensure trades are only considered when macro conditions are most favorable.
The primary goal is to enter a trade during a short-term dip (oversold RSI) but only when the broader market structure (Halving Cycle and BTC Dominance) confirms that capital is flowing into altcoins.
How It Works: The Logic
The strategy is built on two distinct layers that must align for a signal to be valid.
1. The Core Trading Setup
A potential LONG ENTRY signal is identified when a specific set of trend and momentum conditions are met:
Long-Term Trend: The price must be trading above the 200-period Slow Moving Average.
Mean Reversion Entry: The RSI must be in an oversold state (below 35).
Favorable Dominance: BTC.D must be trending down, and ETH.D must be trending up, indicating a "risk-on" environment.
2. The "Alt Season" Master Filter
This is the master switch that confirms the macro environment. A trade setup is only considered valid if the "Alt Season" filter is active. This filter has two sub-layers:
Bitcoin Halving Cycle: The script tracks the 4-year cycle and only allows signals during the two most bullish phases:
Post-Halving Accumulation (Yellow Background): The period immediately following a halving.
Parabolic Uptrend (Green Background): The primary bull market phase.
Signals are automatically disabled during the "Distribution" (Red) and "Bear Market" (Dark Red) phases.
BTC Dominance State: This defines the precise start and end of an alt season based on capital flows.
START (🚀): Alt Season becomes active when BTC.D crosses below 60%.
RESET (⚠️): The state is temporarily disabled if BTC.D reclaims 60%, acting as a warning signal.
END (🛑): The season is officially over when BTC.D crosses back above 40% from below.
On-Chart Visuals
The script provides a rich visual interface for at-a-glance analysis:
Background Colors: The chart background changes color to reflect the current Halving Cycle phase. A bright cyan overlay indicates when the "Alt Season" filter is fully active.
Dynamic Shapes:
🚀 (Rocket): Signals the start of a confirmed Alt Season. The size is dynamic—a larger rocket appears if the RSI is more deeply oversold, indicating a higher-conviction setup.
⚠️ (Warning Sign): Appears if BTC.D reclaims the 60% start level, indicating a temporary pause or "reset" of the alt season.
🛑 (Stop Sign): Marks the official end of the Alt Season.
On-Screen Table: A real-time dashboard in the top-right corner shows the status of every single condition, providing full transparency into the script's logic.
How to Use
Wait for the "Alt Season Active" (cyan) background to appear. This is your primary confirmation that macro conditions are favorable.
Look for LONG ENTRY labels. These appear when the core trading setup aligns with an active Alt Season.
Use the on-screen table to understand why a signal is or is not firing.
Set Alerts: The script includes three distinct alerts for "Alt Season Activated," "Alt Season Warning," and "Alt Season Officially Over" to keep you updated on the macro environment.
Disclaimer: This tool is for educational purposes only and should not be considered financial advice. All trading involves risk. Always conduct your own research and backtesting before making any trading decisions.
Detrended Rhythm Oscillator (DRO)How to detect the current "market beat" or market cycle?
A common way to capture the current dominant cycle length is to detrend the price and look for common rhythms in the detrended series. A common approach is to use a Detrended Price Oscillator (DPO). This is done in order to identify and isolate short-term cycles.
A basic DPO description can be found here:
www.tradingview.com
Improvements to the standard DPO
The main purpose of the standard DPO is to analyze historical data in order to observe cycle's in a market's movement. DPO can give the technical analyst a better sense of a cycle's typical high/low range as well as its duration. However, you need to manually try to "see" tops and bottoms on the detrended price and measure manually the distance from low-low or high-high in order to derive a possible cycle length.
Therefore, I added the following improvements:
1) Using a DPO to detrend the price
2) Indicate the turns of the detrended price with a ZigZag lines to better see the tops/bottoms
3) Detrend the ZigZag to remove price amplitude between turns to even better see the cyclic turns ("rhythm")
4) Measure the distance from last detrended zigzag pivot (high-high / low-low) and plot the distance in bars above/below the turn
Now, you can clearly see the rhythm of the dataset indicated by the Detrended Rhythm Oscillator including the exact length between the turns. This makes the procedure to "spot" turns and "measure" distance more simple for the trader.
How to use this information
The purpose is to check if there is a common rhythm or beat in the underlying dataset. To check that, look for recurring pattern in the numbers. E.g. if you often see the same measured distance, you can conclude that there is a major dominant cycle in this market. Also watch for harmonic relations between the numbers. So in the example above you see the highlighted cluster of detected length of around 40,80 and 120. There three numbers all have a harmonic relation to 40.
Once you have this cyclic information, you can use this number to optimize or tune technical indicators based on the current dominant cycle length. E.g. set the length parameter of a technical indicator to the detected harmonic length with the DRO indicator.
Example Use-Case
You can use this information to set the input for the following free public open-source script:
Disclaimer
This is not meant to be a technical indicator on its own and the derived cyclic length should not be used to forecast the next turn per se. The indicator should give you an indication of the current market beat or dominant beats which can be use to further optimize other oscillator or trading related settings.
Options & settings
The indicator allows to plot different versions. It allows to plot the original DPO, the DRO with ZigZag lines, the DRO with detrended ZigZag lines and length labels on/off. You can turn on or off these version in the indicator settings. So you can tweak it visually to your own needs.
Gann Dynamic Levels [SmartFoxy]# 🌌 Gann Dynamic Levels
Gann Dynamic Levels is a dynamic Gann-based framework that calculates proportional and exponential levels using customizable methods — including planetary ratios.
Perfect for traders focused on cycles , ratios , and harmonic structures .
Inspired by the geometric and harmonic principles of W.D. Gann , this multifunctional tool automatically plots time–price projection levels based on user-defined anchor points.
It combines multiple calculation techniques to capture both linear and exponentia l market symmetries.
The indicator adapts dynamically to price movement, helping traders identify potential reversal zones , time clusters , and harmonic expansions derived from proportional and planetary relationships.
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## ⚙️ Core Features
Five Calculation Methods — Linear, ratio-based, geometric, and exponential spacing for multi-perspective analysis.
Planetary Scaling Mode — Optional mode based on astronomical distances (Titius–Bode Law), adding an astronomical dimension to level spacing.
Adaptive Offset Control — Shifts all projected levels left or right proportionally without changing their internal spacing.
Automatic Label Management — Dynamically updates or reuses labels for better clarity and improved chart performance.
Custom Styling — Full control over colors, widths, label positions, and line styles for each method.
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## 🌐 Purpose
Designed for traders who combine Gann theory , harmonic ratios , and cyclical timing to visualize equilibrium zones and future market symmetry.
Whether used for short-term timing or long-term structural projections, Gann Dynamic Levels provides an adaptive, geometry-based framework for interpreting market behavior.
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## 📘 How to Use
When first applied, the indicator prompts you to place two points on the chart — for example, at the start and end of a significant price range.
The indicator calculates the number of bars between these two points, known as Delta .
Delta serves as the base unit for all calculations in Methods #1–#5 .
The computed results are displayed in Table 1 , which can be toggled using the parameter “📱 Show Gann Levels Table”.
You can reset or reposition the initial points in two ways:
Drag the existing points to new positions on the chart.
Hover over the indicator name, click ⦁⦁⦁ (More) → select “ Reset Points ”, then set new reference points.
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## ⚙️ Method Logic
Classic – Evenly spaced levels based on the base Delta value. Ideal for identifying key support and resistance zones.
Coefficient (Coeff) – Scales Delta by fractional or whole-number coefficients for proportional level spacing.
Rounded – Rounds each calculated level to the nearest significant price value to align with major zones.
Subtractive – Generates levels by subtracting multiples of Delta from a reference point, emphasizing retracement-type structures.
Exponential – Applies an exponential growth model (10a = 4 + 3×2ⁿ) to project dynamic, non-linear level expansion.
Planetary – Uses the average distances of planets from the Sun (in Astronomical Units, AU ) as ratio multipliers to create harmonic projections.
Planetary distances can be customized in the user settings.
Data for Method #6 (Planetary) is displayed in Table 2 , toggled via “ 🪐 Show Planetary Table. ”
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## ➡️ Additional Feature
Offset – Shifts all Gann levels horizontally (left or right) without changing their spacing.
Useful for visually aligning levels with key market structures.
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### 🧭 Summary
A multi-method Gann framework combining geometric, harmonic, and planetary ratios for dynamic level projection and cycle analysis.
r - g Oscillator | Norm + Sigma-BandsThe r–g Oscillator measures the macro-liquidity regime by tracking the gap between real interest rates (r) and nominal GDP growth (g).
It approximates real rate pressure using the 10-Year Treasury yield minus the 5-Year/5-Year forward inflation expectation, and compares that to either Real or Nominal U.S. GDP YoY growth.
Green (g > r): Expansionary backdrop — growth outpaces real yields; liquidity tailwinds.
Red (r > g): Contractionary backdrop — real rates restrictive; liquidity headwinds.
The σ-bands (standard-deviation envelopes) highlight statistically extreme expansions or contractions in the r–g spread.
The “sweet-spot” shading marks moments when r–g breaks strongly above/below zero — early-cycle thrusts or late-cycle stress.
Optional normalization rescales r–g between –1 and +1 to compare across cycles.
Use:
Track shifts in the macro tide rather than short-term waves. Sustained green phases typically align with bull-market environments; red phases often coincide with tightening cycles or recessions. Combine with faster liquidity or breadth measures (e.g., WRESBAL ROC) for tactical confirmation.
Gabriel's Global Market CapGabriel's Global Market Cap is a comprehensive financial indicator designed to track and analyze the total market capitalization across multiple asset classes. It incorporates various financial markets, including stocks, bonds, real estate, cryptocurrencies, commodities, derivatives, private equity, insurance, OTC markets, and natural resources, to provide a holistic view of global market dynamics.
This indicator integrates Ehlers' Adaptive Dominant Cycle Detection and a custom VIX formula to adjust market values based on volatility and volume fluctuations, allowing for a more refined understanding of market conditions.
Key Features
✅ Multi-Market Analysis – Tracks 10+ global financial sectors, each represented by a key ETF or index.
✅ Normalization & Readability – Converts market cap values into an easy-to-read format (Millions, Billions, Trillions, Quadrillions).
✅ Volatility & Volume Adjustments – Optional VIX-based smoothing and relative volume adjustment for more dynamic readings.
✅ Ehlers’ Cycle Detection – Utilizes dominant cycle length detection to uncover market rhythms and cyclic behavior.
✅ Risk Thresholds & Background Coloring – Identifies overbought and oversold conditions with cyclic bands and background shading.
✅ Customizable Inputs – Users can toggle different market categories on/off for focused analysis.
✅ Interactive Data Table – Displays real-time values for each asset class in a structured table format.
Market Categories & Data Sources
📈 Global Stock Market – iShares MSCI ACWI ETF (ACWI)
💰 Global Bond Market – Vanguard Total World Bond ETF (BNDW)
🏡 Real Estate Market – iShares Global REIT ETF (REET)
₿ Cryptocurrency Market – Total Crypto Market Cap (CRYPTOCAP:TOTAL)
🌾 Commodities Market – Invesco DB Commodity Index Fund (DBC)
📊 Derivatives Market – CME Group (CME)
🏦 Private Equity & VC – ProShares Global Listed Private Equity ETF (PEX)
🛡️ Insurance Market – SPDR S&P Insurance ETF (KIE)
💹 OTC Markets – OTC Markets Group (OTCM)
⛽ Natural Resources – iShares Global Energy ETF (IXC)
Technical Enhancements
1️⃣ Custom Volatility Index (VIX) Calculation (Work In Progress)
Adjusts asset values based on volatility conditions using Ehlers' Cycle Detection.
Higher VIX reduces market cap, while lower VIX stabilizes it.
2️⃣ Adaptive Market Normalization
Converts absolute market values into a relative strength scale (0-100) for better visual analysis.
Uses historical min/max values to adjust dynamically.
3️⃣ Cyclic Analysis & Overbought/Oversold Levels
Detects hidden market rhythms & time cycles.
Calculates upper and lower risk bands based on dominant cycle length.
Applies background shading for visualizing low or high risk periods.
Customization Options
🔧 Enable/Disable Market Categories – Select which asset classes to track.
📊 Toggle VIX & Volume Smoothing – Adjust how market cap reacts to volatility & volume.
🎨 Cyclic Risk Bands – Highlight overbought/oversold conditions with dynamic background colors.
Visual Elements
📉 Market Cap Trends – Each category is plotted with a unique color.
🌎 Total Global Value (TGV) – A combined index representing all selected markets.
🎨 Background Coloring – Indicates high/low risk periods.
📋 Real-Time Data Table – Displays normalized & raw market cap values in an easy-to-read format.
Practical Applications
📊 Macroeconomic Analysis – Track global liquidity and investment shifts across asset classes.
💹 Volatility & Risk Assessment – Identify high-risk market conditions based on cyclic behavior.
📈 Cross-Market Comparisons – See which sectors are leading or lagging in value growth.
🔍 Crypto & Stock Market Trends – Analyze how traditional and digital assets correlate.
Regime Classifier Oscillator (AiBitcoinTrend)The Regime Classifier Oscillator (AiBitcoinTrend) is an advanced tool for understanding market structure and detecting dynamic price regimes. By combining filtered price trends, clustering algorithms, and an adaptive oscillator, it provides traders with detailed insights into market phases, including accumulation, distribution, advancement, and decline.
This innovative tool simplifies market regime classification, enabling traders to align their strategies with evolving market conditions effectively.
👽 What is a Regime Classifier, and Why is it Useful?
A Regime Classifier is a concept in financial analysis that identifies distinct market conditions or "regimes" based on price behavior and volatility. These regimes often correspond to specific phases of the market, such as trends, consolidations, or periods of high or low volatility. By classifying these regimes, traders and analysts can better understand the underlying market dynamics, allowing them to adapt their strategies to suit prevailing conditions.
👽 Common Uses in Finance
Risk Management: Identifying high-volatility regimes helps traders adjust position sizes or hedge risks.
Strategy Optimization: Traders tailor their approaches—trend-following strategies in trending regimes, mean-reversion strategies in consolidations.
Forecasting: Understanding the current regime aids in predicting potential transitions, such as a shift from accumulation to an upward breakout.
Portfolio Allocation: Investors allocate assets differently based on market regimes, such as increasing cash positions in high-volatility environments.
👽 Why It’s Important
Markets behave differently under varying conditions. A regime classifier provides a structured way to analyze these changes, offering a systematic approach to decision-making. This improves both accuracy and confidence in navigating diverse market scenarios.
👽 How We Implemented the Regime Classifier in This Indicator
The Regime Classifier Oscillator takes the foundational concept of market regime classification and enhances it with advanced computational techniques, making it highly adaptive.
👾 Median Filtering: We smooth price data using a custom median filter to identify significant trends while eliminating noise. This establishes a baseline for price movement analysis.
👾 Clustering Model: Using clustering techniques, the indicator classifies volatility and price trends into distinct regimes:
Advance: Strong upward trends with low volatility.
Decline: Downward trends marked by high volatility.
Accumulation: Consolidation phases with subdued volatility.
Distribution: Topping or bottoming patterns with elevated volatility.
This classification leverages historical price data to refine cluster boundaries dynamically, ensuring adaptive and accurate detection of market states.
Volatility Classification: Price volatility is analyzed through rolling windows, separating data into high and low volatility clusters using distance-based assignments.
Price Trends: The interaction of price levels with the filtered trendline and volatility clusters determines whether the market is advancing, declining, accumulating, or distributing.
👽 Dynamic Cycle Oscillator (DCO):
Captures cyclic behavior and overlays it with smoothed oscillations, providing real-time feedback on price momentum and potential reversals.
Regime Visualization:
Regimes are displayed with intuitive labels and background colors, offering clear, actionable insights directly on the chart.
👽 Why This Implementation Stands Out
Dynamic and Adaptive: The clustering and refit mechanisms adapt to changing market conditions, ensuring relevance across different asset classes and timeframes.
Comprehensive Insights: By combining price trends, volatility, and cyclic behaviors, the indicator provides a holistic view of the market.
This implementation bridges the gap between theoretical regime classification and practical trading needs, making it a powerful tool for both novice and experienced traders.
👽 Applications
👾 Regime-Based Trading Strategies
Traders can use the regime classifications to adapt their strategies effectively:
Advance & Accumulation: Favorable for entering or holding long positions.
Decline & Distribution: Opportunities for short positions or risk management.
👾 Oscillator Insights for Trend Analysis
Overbought/oversold conditions: Early warning of potential reversals.
Dynamic trends: Highlights the strength of price momentum.
👽 Indicator Settings
👾 Filter and Classification Settings
Filter Window Size: Controls trend detection sensitivity.
ATR Lookback: Adjusts the threshold for regime classification.
Clustering Window & Refit Interval: Fine-tunes regime accuracy.
👾 Oscillator Settings
Dynamic Cycle Oscillator Lookback: Defines the sensitivity of cycle detection.
Smoothing Factor: Balances responsiveness and stability.
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
Wall Street Cheat Sheet IndicatorThe Wall Street Cheat Sheet Indicator is a unique tool designed to help traders identify the psychological stages of the market cycle based on the well-known Wall Street Cheat Sheet. This indicator integrates moving averages and RSI to dynamically label market stages, providing clear visual cues on the chart.
Key Features:
Dynamic Stage Identification: The indicator automatically detects and labels market stages such as Disbelief, Hope, Optimism, Belief, Thrill, Euphoria, Complacency, Anxiety, Denial, Panic, Capitulation, Anger, and Depression. These stages are derived from the emotional phases of market participants, helping traders anticipate market movements.
Technical Indicators: The script uses two key technical indicators:
200-day Simple Moving Average (SMA): Helps identify long-term market trends.
50-day Simple Moving Average (SMA): Aids in recognizing medium-term trends.
Relative Strength Index (RSI): Assesses the momentum and potential reversal points based on overbought and oversold conditions.
Clear Visual Labels: The current market stage is displayed directly on the chart, making it easy to spot trends and potential turning points.
Usefulness:
This indicator is not just a simple mashup of existing tools. It uniquely combines the concept of market psychology with practical technical analysis tools (moving averages and RSI). By labeling the psychological stages of the market cycle, it provides traders with a deeper understanding of market sentiment and potential future movements.
How It Works:
Disbelief: Detected when the price is below the 200-day SMA and RSI is in the oversold territory, indicating a potential bottom.
Hope: Triggered when the price crosses above the 50-day SMA, with RSI starting to rise but still below 50, suggesting an early uptrend.
Optimism: Occurs when the price is above the 50-day SMA and RSI is between 50 and 70, indicating a strengthening trend.
Belief: When the price is well above the 50-day SMA and RSI is between 70 and 80, showing strong bullish momentum.
Thrill and Euphoria: Identified when RSI exceeds 80, indicating overbought conditions and potential for a peak.
Complacency to Depression: These stages are identified based on price corrections and drops relative to moving averages and declining RSI values.
Best Practices:
High-Time Frame Focus: This indicator works best on high-time frame charts, specifically the 1-week Bitcoin (BTCUSDT) chart. The longer time frame provides a clearer picture of the overall market cycle and reduces noise.
Trend Confirmation: Use in conjunction with other technical analysis tools such as trendlines, Fibonacci retracement levels, and support/resistance zones for more robust trading strategies.
How to Use:
Add the Indicator: Apply the Wall Street Cheat Sheet Indicator to your TradingView chart.
Analyze Market Stages: Observe the dynamic labels indicating the current stage of the market cycle.
Make Informed Decisions: Use the insights from the indicator to time your entries and exits, aligning your trades with the market sentiment.
This indicator is a valuable tool for traders looking to understand market psychology and make informed trading decisions based on the stages of the market cycle.
Market HackThis indicator is intended to only be used in any timeframe between the 1 minute and the 15 minute. If greater than 15 minute, or less than 1 minute, then the table will disappear!
Furthermore, this is a very simple table containing 4 varying emojis:
🔱- This is a gold crossing, indicative of bullish momentum.
💀 - This is a death crossing, indicative of bearish momentum.
🟩 - This represents a bullish cycle, which reinforces the currently active bullish momentum.
🟥 - This represents a bearish cycle, which supports an active bearish momentum.
In summary, 🔱🟩 is perfect confirmation for CALL entry, but even better when at minimum the 1m and 3m care confirmed. Similarly, 💀🟥 confirms an upcoming entry for a PUT. Bear in mind, this indicator is not meant for any financial advice and is only meant to present market direction, or at least a few specific tickers' direction with the market.
BTC - FRIC: Friction & Realized Intensity CompositeTitle: BTC - FRIC: Friction & Realized Intensity Composite
Data: IntoTheBlock
Overview & Philosophy
FRIC (Friction & Realized Intensity Composite) is a specialized on-chain oscillator designed to visualize the "psychological battlegrounds" of the Bitcoin network.
Most indicators focus on Price or Momentum. FRIC focuses on Cost Basis. It operates on the thesis that the market experiences maximum "Friction" when the price revisits the cost basis of a large number of holders. These are the zones where investors are emotionally triggered to react—either to exit "at breakeven" after a loss (creating resistance) or to defend their entry (creating support).
This indicator answers two questions simultaneously:
Intensity: Is the market hitting a Wall (High Friction) or a Vacuum (Low Friction)?
Valuation: Is this happening at a market bottom or a top?
The "Alpha" (Wall vs. Vacuum)
Why we visualize both extremes: This indicator filters out the "Noise" (the middle range) to show you only the statistically significant anomalies.
1. The "Wall" (Positive Z-Score Bars)
What it is : A statistically high number of addresses are at breakeven.
The Implication : Expect a grind. Price action often slows down or reverses here because "Bag Holders" are selling into strength to get out flat, or new buyers are establishing a floor.
2. The "Vacuum" (Negative Z-Score Bars)
What it is : A statistically low number of addresses are at breakeven.
The Implication : Expect acceleration. The price is moving through a zone where very few people have a cost basis. With no natural "breakeven supply" to block the path, price often enters Price Discovery or Free Fall.
Methodology
The indicator constructs a composite view using two premium metrics from IntoTheBlock:
1. The "Activity" (Friction Z-Score): We utilize the Breakeven Addresses Percentage. This measures the % of all addresses where the current price equals the average cost basis.
- Normalization: We apply a rolling Z-Score (Standard Deviation) to this data.
- The Filter: We hide the "Noise" (e.g., Z-Scores between -2.0 and +2.0) to isolate only the events where market structure is truly stretched.
2. The "Context" (Valuation Heatmap): We utilize the MVRV Ratio to color-code the friction.
Deep Value (< 1.0): Price is below the average "Fair Value" of the network.
Overheated (> 3.0): Price is significantly extended above the "Fair Value."
Credit: The MVRV Ratio was originally conceptualized by Murad Mahmudov and David Puell. It remains one of the gold standards for detecting Bitcoin's fair value deviations.
How to Read the Indicator
The chart is visualized as a Noise-Filtered Heatmap.
1. The Bars (Intensity)
Bars Above Zero: High Friction (Congestion). The market is fighting through a supply wall.
Bars Below Zero: Low Friction (Vacuum). The market is accelerating through thin air.
Gray/Ghosted: Noise. Routine market activity; no significant signal.
2. The Colors (Valuation Context) The color tells you why the friction is happening:
🟦 Deep Blue (The "Capitulation Buy"):
Signal: High Friction + Low MVRV.
Meaning : Investors are panic-selling at breakeven/loss, but the asset is fundamentally undervalued. Historically, these are high-conviction cycle bottoms.
🟥 Dark Red (The "FOMO Sell"):
Signal: High Friction + High MVRV.
Meaning : Investors are churning at high valuations. Smart money is often distributing to late retail arrivers. Historically marks cycle tops.
🟨 Yellow/Orange (The "Trend Battle"):
Signal: High Friction + Neutral MVRV.
Meaning : The market is contesting a level within a trend (e.g., a mid-cycle correction).
Visual Guide & Features
10-Zone Heatmap: A granular color gradient that shifts from Dark Blue (Deep Value) → Sky Blue → Grey (Neutral) → Orange → Dark Red (Top).
Noise Filter
A unique feature that "ghosts out" insignificant data, leaving only the statistically relevant signals visible.
Data Check Monitor
A diagnostic table in the bottom-right corner that confirms the live connection to IntoTheBlock data streams and displays the current regime in real-time.
Settings
Lookback Period (Default: 90): The rolling window used for the Z-Score calculation. Shortening this (e.g., to 30) makes the indicator more sensitive to local volatility; lengthening it (e.g., to 365) aligns it with macro cycles.
Noise Threshold (Default: 2.0): The strictness of the filter. Only friction events exceeding this Z-Score will be highlighted in full color.
Show Status Table : Toggles the on-screen dashboard.
Disclaimer
This script is for research and educational purposes only. It relies on third-party on-chain data which may be subject to latency or revision. Past performance of on-chain metrics does not guarantee future price action.
Tags
bitcoin, btc, on-chain, mvrv, intotheblock, friction, z-score, fundamental, valuation, cycle
Bitcoin Relative Macro StrengthBTC Relative Macro Strength
Overview
The BTC Relative Macro Strength indicator measures Bitcoin's price strength relative to the global macro environment. By tracking deviations from the macro trend, it identifies potentially overvalued and undervalued market phases.
The global macro trend is derived by multiplying the ISM PMI (a widely-used proxy for the business cycle) by a simplified measure of global liquidity.
Calculations
Global Liquidity = Fed Balance Sheet − Reverse Repo − Treasury General Account + U.S. M2 + China M2
Global Macro Trend = ISM PMI × Global Liquidity
Understanding the Global Macro Trend
The global macro trend plot combines the ebb and flow of global liquidity with the cyclical patterns of the business cycle. The resulting composite exhibits strong directional correlation with Bitcoin—or more precisely, Bitcoin appears to move in lockstep with liquidity conditions and business cycle phases.
This relationship has strengthened notably since COVID, likely because Bitcoin's growing market capitalization has increased its exposure to macro forces.
The takeaway is that Bitcoin is acutely sensitive to growth in the money supply (it trends with liquidity expansion) and oscillates with the phases of the business cycle.
Indicator Components
📊 Histogram: BTC/Macro Change
Displays the rolling percentage change of Bitcoin's price relative to the global macro trend.
High values: Bitcoin is outpacing macro conditions (potentially overvalued)
Low values: Bitcoin is underperforming macro conditions (potentially undervalued)
Color scheme:
🟢 Green = Positive deviation
🔴 Red = Negative deviation
📈 Macro Slope Line
Plots the scaled percentage change of the global macro trend itself.
Color scheme:
🔵 Teal = BULLISH (slope positive and rising)
⚪ Gray = NEUTRAL (slope and trend disagree)
🟣 Pink = BEARISH (slope negative and falling)
FieldDescription
BTC/Macro Change : Percentage change of Bitcoin's price vs. the Global Macro Trend (default: 21-bar average)
Macro Trend : Composite assessment combining slope direction and trend momentum. Reads BULLISH when both align upward, BEARISH when both align downward, NEUTRAL when they disagree
Macro Slope : The global macro trend's average slope expressed as a percentage
BTC Valuation : Relative valuation category based on BTC/Macro deviation (Extreme Premium → Extreme Discount)
BTC Price : Current Bitcoin price
How to Use
This indicator is primarily useful for identifying market phases where Bitcoin's price has diverged from the global macro trend.
Identify extremes : Look for periods when the histogram reaches elevated positive or negative levels
Assess valuation : Use the BTC Valuation reading to gauge relative over/undervaluation
Confirm with trend : Check whether macro conditions support or contradict the current price level
Mean reversion : Consider that significant deviations from trend historically tend to revert
Note: This indicator identifies relative valuation based on macro conditions—it does not predict price direction or timing.
Settings
Lookback Period - 21 bars - Number of bars for calculating rolling averages
Macro Slope Scale - 3.0 - Multiplier for macro slope line visibility
Quarterly Theory True Opens by Mr. ConsistentQuarterly Theory True Opens (MTF)
This indicator plots key institutional price levels known as "True Opens" based on the principles of Quarterly Theory, as taught by Trader Daye. It is designed to identify the start of Q2 manipulation cycles across yearly, monthly, weekly, daily, and intra-day session timeframes.
The levels are drawn as clean horizontal rays and are anchored to the 1-minute timeframe, ensuring they are perfectly accurate and consistent on ANY chart timeframe you view.
🎯 Core Concepts
Each line represents the "True Open" at the start of a new Q2 cycle:
📅 Yearly True Open: The open of the first trading day of April.
🗓️ Monthly True Open: The open of the second Monday of each month.
Weekly True Open: The open of the Monday 6:00 PM EST session.
🏙️ Daily True Open: The open at Midnight EST.
⏰ Session True Opens: The open at the start of the second 90-minute quarter of each session (1:30 AM, 7:30 AM, 1:30 PM, 7:30 PM EST).
✨ Key Features
Multi-Timeframe (MTF) Accuracy: Lines are anchored to the 1-minute open price, ensuring they remain perfectly consistent on any chart timeframe (e.g., the 7:30 AM open is the same on the 5min, 1-hour, and Daily charts).
Clean Horizontal Rays: Plots clean horizontal rays that extend forward, avoiding chart clutter. Old lines are automatically removed as new ones form.
Right-Aligned Labels: Text labels are positioned on the right edge of your screen, so they are always visible and never covered by price action.
Fully Customizable: Toggle the visibility of each True Open line (Yearly, Monthly, etc.) and their labels individually in the settings. You can also customize colors and line width.
New York (EST) Timezone: All calculations are hard-coded to the America/New_York timezone for consistency.
⚙️ How to Use
Use these levels as key points of interest for potential support, resistance, or areas where price may show a significant reaction.
Observe how price interacts with these levels after they are established.
Customize the indicator in the settings (⚙️ icon) to show only the levels relevant to your trading style.
⚠️ Troubleshooting: Lines Not Showing Correctly?
If the indicator lines don't seem to plot at the correct price levels when you first add it to your chart, it's almost always a scaling issue.
Hover over the indicator's name on your chart and click the three dots (...) for "More".
Scroll down to "Pin to Scale".
Select "Pin to Right Scale" (or whichever scale your price is on). The indicator levels must be pinned to the same scale as the price to display accurately.
If it is set to "No Scale," the levels will not reflect their true price values.
This tool was developed based on the public teachings of Trader Daye. All credit for the underlying concepts of Quarterly Theory belongs to him. This indicator is for educational and analytical purposes only.
Bitcoin Power Law Clock [LuxAlgo]The Bitcoin Power Law Clock is a unique representation of Bitcoin prices proposed by famous Bitcoin analyst and modeler Giovanni Santostasi.
It displays a clock-like figure with the Bitcoin price and average lines as spirals, as well as the 12, 3, 6, and 9 hour marks as key points in the cycle.
🔶 USAGE
Giovanni Santostasi, Ph.D., is the creator and discoverer of the Bitcoin Power Law Theory. He is passionate about Bitcoin and has 12 years of experience analyzing it and creating price models.
As we can see in the above chart, the tool is super intuitive. It displays a clock-like figure with the current Bitcoin price at 10:20 on a 12-hour scale.
This tool only works on the 1D INDEX:BTCUSD chart. The ticker and timeframe must be exact to ensure proper functionality.
According to the Bitcoin Power Law Theory, the key cycle points are marked at the extremes of the clock: 12, 3, 6, and 9 hours. According to the theory, the current Bitcoin prices are in a frenzied bull market on their way to the top of the cycle.
🔹 Enable/Disable Elements
All of the elements on the clock can be disabled. If you disable them all, only an empty space will remain.
The different charts above show various combinations. Traders can customize the tool to their needs.
🔹 Auto scale
The clock has an auto-scale feature that is enabled by default. Traders can adjust the size of the clock by disabling this feature and setting the size in the settings panel.
The image above shows different configurations of this feature.
🔶 SETTINGS
🔹 Price
Price: Enable/disable price spiral, select color, and enable/disable curved mode
Average: Enable/disable average spiral, select color, and enable/disable curved mode
🔹 Style
Auto scale: Enable/disable automatic scaling or set manual fixed scaling for the spirals
Lines width: Width of each spiral line
Text Size: Select text size for date tags and price scales
Prices: Enable/disable price scales on the x-axis
Handle: Enable/disable clock handle
Halvings: Enable/disable Halvings
Hours: Enable/disable hours and key cycle points
🔹 Time & Price Dashboard
Show Time & Price: Enable/disable time & price dashboard
Location: Dashboard location
Size: Dashboard size
MeanRevert Matrix [StabTrading]MeanRevert Matrix is a sophisticated trading tool designed to detect when prices significantly deviate from their historical averages, signalling potential market trends and reversals.
Leveraging complex algorithms that incorporate human emotions and mean reversion theory, this indicator is the first stage in a comprehensive system for identifying market entry points. Its versatility allows it to be applied across all charts and timeframes, providing traders with clear visual cues for trend analysis and decision-making.
This indicator is purposefully straightforward, allowing traders to observe how the different algorithms work in confluence. The MeanRevert Matrix can be customized to fit individual trading styles, particularly in terms of aggressiveness, making it adaptable to various market conditions. Working in tandem with the FloWave Oscillator, it offers an additional layer of confluence, ensuring that trading signals are more reliable.
💡 Features
Reversal Zones - These zones are integral to the MeanRevert Matrix, highlighting areas where trader emotions and money flow suggest potential longer-term reversals. The lighter shaded zones indicate early-stage reversals, while darker shades signal stronger reversal potential. This feature is designed to help traders anticipate market shifts and prepare for them accordingly.
Localized Mean Reversion Signals - These signals are triggered when the price deviates significantly from the mean, unaffected by longer-term price movements. This localized algorithm helps traders focus on short-term market fluctuations without being influenced by broader trends.
Yellow Signals - These signals identify isolated overbought or oversold conditions. While they often indicate reversal points, they can also signal the beginning of accelerated buying or selling, giving traders early warning of potential market shifts.
Trading Style Customization - The MeanRevert Matrix allows traders to tailor their strategy by adjusting the indicator’s aggressiveness. A more aggressive setting will produce more frequent reversal signals, offering flexibility based on the trader’s risk tolerance and market outlook.
Noise Eliminator - This feature helps traders filter out market noise or manipulation by increasing the noise value. By removing unwanted or misleading signals, it ensures that traders are acting on the most reliable data.
📈 Implementing the System
Step 1 - Begin by observing the localized blue trend to identify reversal points below the mean. Green or red signals within this trend indicate that the price remains within the current market parameters, suggesting that a reversal may occur more quickly. Yellow signals, however, indicate that the trend is likely to continue, so it’s advisable to wait for clearer reversal zones to develop. To avoid misleading signals, consider using higher noise values.
Step 2 - Wait for the reversal zone algorithm to indicate a potential market reversal by showing either light or dark red/green colour. A lighter zone suggests that the overall trend is beginning to reverse, while a darker zone indicates a higher likelihood of reversal.
Step 3 - Once a reversal zone is identified, monitor the trend line for signals that the price is moving significantly away from the mean. This indicates a strong localized price movement that is poised for a reversal. At this stage, you can reduce the noise value and increase the aggressiveness of the trading style to capture more reversal signals.
🛠️ Usage/Practice
In the example above, the indicator is set with neutral aggression for buy signals and lower aggression for sell signals, reflecting the current bull market cycle
Red Reversal Zone - A bearish reversal zone emerges, followed by a darker bearish zone, indicating an increased probability of a trend reversal. The red signals show price reversion from the localized mean, but the absence of yellow signals suggests the reversion isn't abnormally aggressive, making this a good area to consider a short position.
Strong Reversal Opportunity - Similar to point 1, but this time a green signal appears within the bullish dark green zone, highlighting a strong reversal potential. Subsequent red signals suggest opportunities to take profits as the trend faces resistance.
Opportunity to Strengthen Long Position - Once again, the indicator shows a bullish reversal zone without yellow signals. This suggests an area of increased resistance at this price point, offering traders another chance to increase their long positions before the market enters the long bull cycle.
Excessive Buying Pressure - The price has deviated significantly from the mean, triggering a yellow signal. This indicates excessive buying pressure, suggesting the trend is likely to continue upward. Although not an immediate bearish area, the red sell signals suggest it could be a time to conservatively take partial profits.
Trend Weakening - As the trend slows down, bearish zones appear, indicating potential reversal points. As the market shows signs of losing upward momentum, this suggests an opportunity to reduce their long exposure or enter a short trade and take advantage of the correction in the bull cycle.
Potential for Additional Long Position - Despite the earlier sell signals, the overall uptrend remains strong. This presents an opportunity either to add to the long position or to take profits from a previous sell position. The strength of the upward trend suggests that the market may continue higher.
Abnormal Upward Momentum - Similar to points 4 and 5, the yellow signals indicate abnormal price action with aggressive upward momentum. As the trend corrects to a normal range, the price hitting a resistance level is confirmed by the appearance of red reversal zones, suggesting a potential pullback.
Sideways Market Signals - In a sideways market, the indicator shows signals that remain within the normal mean reversion range. These signals are not abnormal and suggest potential entry points for trades within a sideways market, indicating periods where the market lacks strong directional momentum.
🔶 Conclusion
With its seamless integration into various charts and timeframes, the MeanRevert Matrix stands as a reliable and adaptable tool, essential for navigating the complexities of modern markets. By following the implementation guidelines and leveraging its features, traders have the potential to effectively anticipate market movements and optimize their entry and exit points.
We developed this indicator to help traders enhance their understanding of market trends and achieve their trading objectives with greater precision.
TASC 2022.11 Phasor Analysis█ OVERVIEW
TASC's November 2022 edition Traders' Tips includes an article by John Ehlers titled "Recurring Phase Of Cycle Analysis". This is the code that implements the phasor analysis indicator presented in this publication.
█ CONCEPTS
The article explores the use of phasor analysis to identify market trends.
An ordinary rotating phasor diagram is a two-dimensional vector, anchored to the origin, whose rotation rate corresponds to the cycle period in the price data stream. Similarly, Ehlers' phasor is a representation of angular phase rotation along the course of time. Its angle reflects the current phase of the cycle. Angles -180, -90, +90 and +180 degrees correspond to the beginning, valley, peak and end of the cycle, respectively.
If the observed cycle is very long, the market can be considered trending . In his article, John Ehlers defined trending behavior to occur when the derived instantaneous cycle period value is greater that 60 bars. The author also introduced guidelines for long and short entries in a trending state. Depending on the tuning of the indicator period input, a long entry position may occur when the phasor angle is around the approximate vicinity of −90 degrees, while a short entry position may occur when the phasor angle will be around the approximate vicinity of +90 degrees. Applying these definitive guidelines, the author proposed a state variable that is indicated by +1 for a trending long position, 0 for cycling, and −1 for a trending short position (or out).
The phasor angle, the cycle period, and the state variable are made available with three selectable display modes provided for this TradingView indicator.
█ CALCULATIONS
The calculations are carried out as follows.
First, the price data stream is correlated with cosine and sine of a fixed cycle period. This produces two new data streams that correspond to the projections of the frequency domain phasor diagram to the horizontal (so-called real ) and vertical (so-called imaginary ) axis respectively. The wavelength of the cycle period input should be set for the midrange vicinities of the phasor to coincide with the peaks and valleys of the charted price data.
Secondly, the phase angle of the phasor is easily computed as the arctangent of the ratio of the imaginary component to the real component. The difference between the current phasor values and its last is then employed to calculate a derived instantaneous period and market state. This computation is then repeated successively for each individual bar over the entire duration of the data set.
[iQ]PRO Quadratic Spectral Regression Channel and Heatmap+✨ PRO Quadratic Spectral Regression Channel and Heatmap+ : Next-Generation Market Analysis
The PRO QSRCH+ indicator is an advanced, proprietary analytical tool designed for the discerning trader, combining sophisticated statistical models with high-frequency momentum detection. This unique fusion provides a multi-dimensional view of market structure, separating the persistent, underlying trend from the volatile, short-term cycle.
📊 Precision Channeling with Weighted Regression
At its core, PRO QSRCH+ utilizes a dynamically weighted regression channel to establish the primary market trajectory and define statistically significant deviation boundaries.
Adaptive Trend Definition: The center line of the channel serves as a highly responsive mean value, calculated over a user-defined lookback length. This weighting prioritizes recent price action, ensuring the trend definition remains relevant to current market conditions.
Volatile Boundaries: The upper and lower bands are precisely calibrated using a standard deviation factor to measure volatility and establish zones of statistical overextension.
Trend Coloring: The channel's appearance changes based on the calculated slope, providing an instantaneous visual confirmation of the macro trend direction (Bullish or Bearish).
Exhaustion Signals: Subtle markers are placed when price touches these boundaries, signaling potential short-term market exhaustion and a high probability of mean reversion.
🔬 High-Resolution Spectral Momentum
Integrated with the regression channel is a specialized Spectral Momentum Heatmap Histogram. This proprietary oscillator is engineered to isolate the cyclical (micro) component of price movement.
Residual Analysis: The indicator first extracts the residual price movement—the high-frequency fluctuations that exist outside the established regression trend—effectively acting as an intelligent high-pass filter.
Cycle Detection: This residual data is then processed through a proprietary spectral filter and smoothing mechanism. This process isolates the dominant market cycle, revealing hidden bursts of momentum and the precise timing of cyclical turns.
Heatmap Visualization: The Spectral Momentum is visualized in a separate pane as a vibrant histogram, dynamically colored and weighted based on its magnitude to provide an intuitive visual gauge of market energy.
🧩 The Multi-Factor State Engine
PRO QSRCH+ uniquely combines these two components into a comprehensive market state engine, visible directly on the price bars and via clear trading signals:
Candle Coloring: Price bars are painted with a four-state system, distinguishing between:
Strong Trend: Macro Trend (Channel Slope) and Micro Cycle (Spectral Momentum) are aligned.
Pullback/Rally: Macro Trend is maintained, but the Micro Cycle is currently counter-trend, signaling temporary consolidation or retracement.
Validated Signals: High-probability BUY/SELL signals are generated only when the fast Spectral Momentum cycle crosses zero in alignment with the macro trend defined by the Regression Slope. This validation filter is key to minimizing false signals and maximizing the probability of sustained directional moves.
PRO QSRCH+ provides a superior framework for market structure analysis, allowing traders to distinguish between low-risk trend continuation and high-risk cyclical exhaustion.
BTC Regime Phase [HY|YC|GLI]The correlation between global liquidity and INDEX:BTCUSD has attracted a lot of attention. Building on this insight, I developed an indicator that not only tracks global liquidity but also integrates the high‑yield spread and yield‑curve slope to capture credit risk and growth expectations.
Essence and Logic
At its core, the Risk‑On Composite Z‑Score converts three macro factors global liquidity momentum, the US high‑yield spread and the slope of the US yield curve into standardized Z‑scores, weights them, and tracks moving‑average crossovers. Each factor has a rationale: high‑yield spreads are powerful business‑cycle indicators and often outperform other financial variables (Gertler & Lown, 2000). Yield‑curve steepness reflects investor optimism and prompts shifts toward riskier assets global liquidity drives cross‑border flows and risk sentiment (Goldberg, 2023; Lee, 2024). Combining these measures gives a composite signal that has historically aligned well with Bitcoin’s tops and bottoms. Usable also for other crypto coins: INDEX:ETHUSD CRYPTO:SOLUSD CRYPTO:LINKUSD
Limitations and My Current Model Outlook
I want to be transparent: the three model sections are highly correlated. Currently, the high‑yield spread and yield curve data come only from the US; I may add Euro or Japanese spreads later. I’m also aware that macro dynamics are evolving. Fiscal policy and political choices could shorten bear markets and make the current sell signals less relevant. In a stagflationary world, inflation‑adjusted liquidity may swing more violently and require an asset‑inflation adjustment. Yet, the model has captured Bitcoin’s tops and bottoms almost to the week—future patterns may rhyme, not repeat.
Questions and Ideas:
Do you think this model will still be useful as fiscal and monetary regimes shift?
Should I add a stagnation modulation perhaps real yields or inflation‑adjusted liquidity—to better capture a stagflation scenario?
Are there high‑yield spreads on TV beyond the US that I should include? (Euro and Japan indices do exist.)
Would it make sense to incorporate Bitcoin halving events or a stock‑to‑flow module?
The indicator is free to use. If it brings you value, you’re welcome to follow for updates. I appreciate your support and feedback. When you are interested in the source code, feel free to contact me for more details. When you feel like supporting me with some sats, contact me and I will give you a Lightning address. I am a student and that would help a lot – but please only if you can afford it!
♡ Thanks to everyone who contributes insight on TradingView ♡
© Robinhodl21
Features: Users can enable or disable each component, adjust weights and choose a short‑tenor (1‑year or 2‑year) for the yield curve. The script automatically scales lookback windows based on the chart timeframe (daily, weekly or monthly). It offers visual plots of each Z‑score, the composite score, and smoothed moving averages, with background colours highlighting regimes and markers for entries and exits. Trade logic includes optional dip‑buy triggers when the composite falls below a threshold, Friday‑only execution on daily charts to reduce whipsaws. A trend table summarises current Z‑scores and their trends. Settings are tuned for BTC weekly data but should be adjusted for other assets or timeframes. Because some inputs (e.g., GLI weights) have limited historical data, long backtests may be less reliable when using on other Risk On Assets like NASDAQ:NDX NCDEX:COPPER
‼ Disclaimer: This indicator is for educational purposes and does not constitute investment advice. Markets involve risk; past performance is not indicative of future results. Users should not rely solely on this script for trading decisions. Always test and adapt settings to your asset, timeframe and risk tolerance. The author assumes no liability for any trading losses.
Literature:
Gertler, M., & Lown, C. S. (2000). The information in the high yield bond spread for the business cycle: Evidence and some implications. NBER Working Paper 7549.
Lee, B. (2024). Staying ahead of the yield curve. CME Group.
McCauley, R. N. (2012). Risk‑on/risk‑off, capital flows, leverage and safe assets. BIS Working Paper 382.
Goldberg, L. (2023). Global liquidity: Drivers, volatility and toolkits. Federal Reserve Bank of New York Staff Report 1064.
FRED (2025). ICE BofA Euro High Yield Index Option‑Adjusted Spread (BAMLHE00EHYIOAS). St. Louis Fed Data.
Office of Financial Research (2025). Financial Stress Index sources: High yield indices..
Tashev, T. (2025). The Bitcoin Stock‑to‑Flow Model: A comprehensive guide. Webopedia.
Clock&Flow MM+InfoThis script is an indicator that helps you visualize various moving averages directly on the price chart and gain some additional insights.
Here's what it essentially does:
Displays Different Moving Averages: You can choose to see groups of moving averages with different periods, set to nominal cyclical durations. You can also opt to configure them for instruments traded with classic or extended trading hours (great for Futures), and they'll adapt to your chosen timeframe.
Colored Bands: It allows you to add colored bands to the background of the chart that change weekly or daily, helping you visualize time cycles. You can customize the band colors.
Information Table: A small table appears in a corner of the chart, indicating which cycle the moving averages belong to (daily, weekly, monthly, etc.), corresponding to the timeframe you are using on the chart.
Customization: You can easily enable or disable the various groups of moving averages or the colored bands through the indicator's settings.
It's a useful tool for traders who use moving averages to identify trends and support/resistance levels, and who want a quick overview of market cycles.
Questo script è un indicatore che aiuta a visualizzare diverse medie mobili direttamente sul grafico dei prezzi e a ottenere alcune informazioni aggiuntive.
In pratica, fa queste cose:
Mostra diverse medie mobili: Puoi scegliere di vedere gruppi di medie mobili con periodi diversi impostati sulle durate cicliche nominali. Puoi scegliere se impostarle per uno strumento quotato con orario di negoziazione classico o esteso (ottimo per i Futures) e si adattano al tuo timeframe).
Bande colorate: Ti permette di aggiungere delle bande colorate sullo sfondo del grafico che cambiano ogni settimana o ogni giorno, per aiutarti a visualizzare i cicli temporali. Puoi scegliere il colore delle bande.
Tabella informativa: In un angolo del grafico, compare una piccola tabella che indica a quale ciclo appartengono le medie mobili (giornaliero, settimanale, mensile, ecc.) e corrispondono in base al timeframe che stai usando sul grafico.
Personalizzazione: Puoi facilmente attivare o disattivare i vari gruppi di medie mobili o le bande colorate tramite le impostazioni dell'indicatore.
È uno strumento utile per i trader che usano le medie mobili per identificare trend e supporti/resistenze, e che vogliono avere un colpo d'occhio sui cicli di mercato.
ICTProTools | ICT Insight - Momentum Structures🚀 INTRODUCTION
The Momentum Structures Indicator builds upon the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC) to give traders a clearer view of market dynamics. These methods reveal how institutional trading activity shapes price movements, particularly through different types of market liquidity.
The indicator is designed to provide traders with advanced insights into market dynamics by focusing on key price imbalances and higher-timeframe structures . By combining these elements, the indicator allows users to analyze price behavior across multiple timeframes, helping them anticipate potential liquidity pools and price reversals. The emphasis on price imbalances and liquidity zones makes it a versatile tool for both intraday and longer-term strategies, providing critical insights for understanding market cycles and potential turning points.
💎 FEATURES
Imbalance Bar Colors / Zones
Imbalances are fundamental components of the ICT methodology, highlighting areas where price accelerates, creating gaps that may indicate a lack of liquidity . These voids often point to potential reversal or continuation zones in the price action.
An imbalance typically arises when supply and demand are out of balance, resulting in a gap between price levels. Traders keep a close eye on these gaps, as they could present opportunities to enter trades when the price revisits them , as they suggest a strong institutional interest.
We can notice two types of imbalances… A Fair Value Gap (FVG) usually forms from three consecutive candles, defining the space between the wicks of the first and last candle. Conversely, a Volume Imbalance (VI) occurs when a gap appears between the opening and closing prices of two consecutive candles. When these imbalances align with FVGs, they offer a well-rounded framework for assessing market strength.
By analyzing both FVGs and VIs together, traders can gain valuable insight into potential price movements and better evaluate the likelihood of continuation or reversal.
This chart illustrates the Fair Value Gaps (FVG) and Volume Imbalances (VI) within the GBPUSD price action. The FVG Bar Color and FVG Zone represent the same Fair Value Gaps, and similarly, the VI Bar Color and VI Zone display the same Volume Imbalances. They highlight areas where rapid price movements have created gaps in the market. These gaps indicate potential zones for trade entries or exits as the price may return to fill them. As we can see on the chart, the major part of imbalances created has already been filled. They constitute really interesting Point of Interest (POI).
The 50% FVG line marks the midpoint of the gap, which is often considered an important level for price action. A clear example appears in the Bearish FVG on the top left, where price first filled it below the midline, creating a small reaction. The price then liquidated this "fake mitigation" by moving just above the midline before beginning its significant downward movement. This demonstrates the crucial role of imbalances and how precisely price interacts with them.
Traders can use this information to identify potential buying or selling opportunities based on the interaction of price with these gaps and volume imbalances, aiding in the development of their trading strategies.
PO3 Candles (Power of Three)
The Power of Three is a critical concept in the ICT methodology that analyzes Higher Timeframe (HTF) candles focusing on the opening price, high wick, low wick, and closing price. This framework helps traders understand the current market cycle, in three phases , and its trading implications.
Accumulation Phase: In this initial phase, the price consolidates around the opening price as the market gathers liquidity. This often signals that larger players are positioning for the next move.
Manipulation Phase: Represented by the candle wicks, this phase indicates the extreme points where liquidity grabs often occur. Observing these wicks helps traders identify the end of the accumulation phase and potential turning points.
Distribution Phase: The candle body reflects a decisive price movement in one direction , following accumulation and manipulation. Traders align with the direction of this phase to capture the “real candle move”.
Our indicator provides you with the valuable capability to integrate the True Day Range, as defined by ICT. This concept, rooted in institutional logic, defines a trading day as starting at 00:00 New York time. You can customize it to match your trading style and analysis needs.
You can also overlay imbalances (FVG and VI) directly onto PO3 Candles, seamlessly combining imbalance detection with high-timeframe price action. This approach gives you a sharper market perspective, uncovering potential turning points with greater clarity.
In summary, PO3 Candles help traders assess the market structure and identify cycle positions on HTF candles, enabling them to make more strategic trading decisions, which allows for better entry and exit timing, avoiding traps, and seizing the best opportunities to capture significant market moves.
This chart illustrates the application of the Power of Three concept to EURUSD price action, highlighting key phases of market behavior.
In this example, we observe the Daily candles, where a significant Bullish imbalance appears from previous days, forming a Fair Value Gap (FVG). Additionally, there’s a small Volume Imbalance (VI) at the candle's opening, signaling liquidity that the price needs to fill.
Now, focusing on the Weekly candle, we can clearly identify its phases. First, there's an accumulation phase around the opening price, which, as shown by the Daily candles, took some time to develop. Then, the manipulation phase occurs, signaled by the upper wick of the Weekly candle, which liquidates the previously created accumulation. It’s time to look for a potential selling position... Finally, the price falls, beginning to form its bearish body and completing the real move of the week.
This framework allows traders to better understand the market structure and make informed decisions based on the current cycle.
Standard Deviation (STD)
The Standard Deviation (STD) is a concept within the ICT methodology that focuses on identifying periods of consolidation within the market. Specifically, it examines the Central Bank Dealers Range (CBDR) , which occurs between 13:00 and 23:00 New York time. During this period, the market often exhibits consolidation , creating an environment where price action stabilizes before making significant moves.
This consolidation forms the basis of the Standard Deviation (STD) concept. This is based on the idea that the volatility observed during this consolidation phase can be used to anticipate future market volatility. Once this consolidation is identified, the STD framework duplicates the established range both above and below the consolidation area.
As price approaches these duplicated levels, it offers traders critical information on where to anticipate potential reactions. If the price nears the upper boundary of the consolidation, it suggests a potential reversal point, indicating an opportunity to consider selling. Conversely, if the price approaches the lower boundary, it may signal an opportunity to look for buying positions . This duplication could enable traders to determine potential high and low points for the trading day or week for example.
Finally, the Standard Deviation (STD) concept provides a valuable framework for identifying potential key reaction points in the market by leveraging consolidation within the CBDR. By duplicating these ranges, traders can anticipate significant price movements and refine their strategies.
This chart illustrates the Standard Deviation (STD) concept applied to EURUSD price action. The highlighted areas in blue indicate high duplications and low duplications derived from the consolidation identified during the Central Bank Dealing Range (CBDR), marked by the dark gray rectangle.
The high duplications represent potential resistance levels, suggesting areas where the price may encounter selling pressure, while the low duplications signify potential support levels, indicating where buying interest could emerge.
The annotations emphasize how price reacts at these duplicated levels, showing the critical role of the STD in determining where price movements may stall or reverse. In this example, the price responded perfectly to both an upward and a downward duplication, confirming that these levels could represent the day's high and low, an observation validated here. This highlights the precision of price movements, with the price stopping exactly at the full duplication levels (but we can not that the price could also have paused at the midline levels, indicated by the dashed gray lines).
This visualization helps traders anticipate potential reactions and align their strategies with market dynamics, ensuring informed decision-making based on established price behavior.
✨ SETTINGS
Imbalance Bar Colors / Zones: Choose to display FVGs, VIs, or both, with customizable color settings. Choose to extend zones or set them to be removed when mitigated.
PO3 Candles: Customize the PO3 Candles for different timeframes (Daily, Weekly, Monthly), including the calculation Mode (Classic or True Day Range) and timezone associated, and set your body, border, and wick preferred colors. The Imbalance Bar Color and FVG Zones can also be displayed on these HTF candles, as they are configured in their settings.
STD: Select the timeframe on which to base it and configure the number of duplications and midline settings. You can also define the time range and timezone related to consolidation detection, giving you control over when and where the STD should apply.
🎯 CONCLUSION
The Momentum Structures Indicator combines the core principles of ICT and Smart Money Concepts to provide traders with advanced tools for understanding market dynamics. By focusing on key elements like imbalances and liquidity zones, it offers a comprehensive framework for analyzing price behavior. This indicator empowers traders to identify key market phases, anticipate potential reversals, and refine their entry and exit points with precision. While its features provide a valuable edge, it’s essential to remember that none should be used on its own and many more factors go into being a profitable trader.
Economic Seasons [Daveatt]Ever wondered what season your economy is in?
Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics:
📊 What We're Tracking:
1. Interest Rates (USIRYY) - The yearly change in interest rates
2. Inflation Rate (USINTR) - The rate at which prices are rising
The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings.
🔄 The Four Economic Seasons & Investment Strategy:
1. 🌸 Goldilocks (↑Growth, ↓Inflation)
"Not too hot, not too cold" - The economy is growing steadily without overheating.
BEST TIME TO: Buy growth stocks, technology, consumer discretionary
WHY: Companies can grow earnings in this ideal environment of low rates and stable prices
2. 🌞 Reflation (↑Growth, ↑Inflation)
"Party time... but watch your wallet!" - The economy is heating up.
BEST TIME TO: Buy commodities, banking stocks, real estate
WHY: These sectors thrive when inflation rises alongside growth
3. 🌡️ Inflation (↓Growth, ↑Inflation)
"Ouch, my purchasing power!" - Growth slows while prices keep rising.
BEST TIME TO: Rotate into value stocks, consumer staples, healthcare
WHY: These defensive sectors maintain pricing power during inflationary periods
4. ❄️ Deflation (↓Growth, ↓Inflation)
"Winter is here" - Both growth and inflation are falling.
BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats
WHY: Capital preservation becomes key; high-quality fixed income provides safety
🎯 Strategic Trading Points:
- BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw)
- HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation
- START TAKING PROFITS: During late Reflation/early Inflation
- DEFENSIVE POSITIONING: Throughout Inflation and Deflation
⚠️ Warning Signs to Watch:
- Goldilocks → Reflation: Time to reduce growth stock exposure
- Reflation → Inflation: Begin rotating into defensive sectors
- Inflation → Deflation: Quality becomes crucial
- Deflation → Goldilocks: Start building new positions
The blue dot shows you where we are right now in this cycle.
The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature!
💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts.
Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯
Happy Trading! 📈
Cyclic RegressionCyclic Regression is a new concept that uses Digital Signal Processing (DSP) to determine the regression of past and future cycles. This is a unique method of regression which has the ability to forecast into the future.
There are several ways to use this tool.
Firstly, it follows similar rules to moving averages and can be used to filter entries. Long entries should be considered when price action is above the line or the line direction is upwards. The opposite is applied for shorts, a downward direction or price action is below.
The regression line is also a strong SR (Support and Resistance) or trend line so traders can expect big moves when this line is broken or a pullback is made after the break.
Each new direction of regression signifies a new cycle so traders can plan for a possible big move when reaching the end of the line.
The Settings are not your typical length or lookback options:
The main modifier is the "Response" input, with this the frequency response for the signal processing can be adjusted. By default it is set at 5000 but this can be boosted to something like 10000 to tune it to bigger cycles.
The other modifiers include sensitivity which will fine tune the response, this can be use with in conjunction with threshold option which adjusts the threshold of the useable response.
There is also the ability to add an external sources to the signal using the source input box. This allows traders to include other sources of data such as volume or RSI.
Daily Sessions (AMDX) AMDX Cycle for Forex Pairs.
Focusing on the London & New York Session Cycles.
- Accumulation (90 minutes)
- Manipulation (90 minutes)
- Distribution (90 minutes)
- Exit/Execution (90 minutes)
This indicator gives you a visual indicator of how the AMDX cycle works and how timing in the market is everything.
Crypto Flows [ETF|On-chain]The surge in Bitcoin and Ethereum spot ETFs has transformed how crypto is held and traded. By mid‑2025, U.S. spot Bitcoin ETFs already controlled roughly 1.28 million BTC, or about 6.5 percent of the circulating supply (Fosque, 2025). This accumulation has coincided with sharp price rallies and signals that regulated vehicles are absorbing a meaningful share of supply (Fosque, 2025; Wright, 2025). At the same time, on‑chain analytics show that exchange flows still influence markets: large inflows to exchanges often precede sell‑offs, whereas withdrawals to private wallets signal accumulation and reduced sell pressure (Singh, 2024; CryptoQuant, 2024). IntoTheBlock’s large‑holder inflow indicator even notes that spikes in whale buying frequently mark major bottoms (IntoTheBlock, 2022). I wanted to weave these pieces together, so I created this indicator.
Essence and logic
The script draws from two data streams: net flows into ETFs and net on‑chain flows from large holders, both scaled by the asset’s circulating market cap. ETF flows are aggregated across the ten largest INDEX:BTCUSD Bitcoin ETFs, the ten largest Ethereum INDEX:ETHUSD ETFs and the first CRYPTOCAP:SOL Solana ETF; each fund has its own checkbox and colour selection. On‑chain data uses IntoTheBlock’s large‑holder inflows and outflows, with dozens of coins available( CRYPTO:XRPUSD CRYPTOCAP:AVAX CRYPTOCAP:ADA CRYPTOCAP:LINK CRYPTO:DOGEUSD CRYPTOCAP:OTHERS ; if your coin isn’t shown in the dropdown you can manually enter its symbol. For each component, daily flows are converted into either a Z‑score or, by default, a percent‑of‑market‑cap series; users choose the weighting between ETF and on‑chain signals. These weighted series are summed into a composite, smoothed, and then two moving averages (a fast and a slow one) are applied to define bullish or bearish regimes. Because ETFs are a recent phenomenon, the early part of the composite is dominated by on‑chain flows; as ETF history lengthens, the fund‑flow component will become more influential. Trade signals are generated via moving‑average crossovers and optional dip triggers, and a trend table summarises current values and directions.
Why these components?
ETF flows reflect institutional adoption and supply absorption. Funds such as IBIT already hold about 744 000 BTC (roughly 3.3 percent of total supply), and cumulative ETF holdings have been growing faster than new coins are mined (Wright, 2025). Net inflows into these vehicles have tended to accompany rising prices and signal long‑horizon capital (Fosque, 2025). On‑chain flows, meanwhile, capture exchange liquidity dynamics. High inflows to exchanges often indicate that investors are preparing to sell, increasing tradable supply (Singh, 2024; CryptoQuant, 2024). Outflows into self‑custody suggest accumulation and reduced sell pressure, providing a bullish signal (Singh, 2024; CryptoQuant, 2024). IntoTheBlock points out that spikes in large‑holder inflows—whales moving coins into cold storage—have historically preceded price bottoms (IntoTheBlock, 2022). By weighting and standardising these flows relative to market cap, the composite aims to offer a more objective lens on risk‑on versus risk‑off regimes than price alone.
Limitations and outlook
ETFs a pretty new, so the data history is short. The list of tracked funds is currently limited to U.S. and European products; adding Asian or Canadian vehicles could provide a fuller picture. On‑chain flows can be noisy and occasionally give conflicting signals, and large‑holder data is not available for every crypto asset. The ETF and on‑chain components are also correlated through market cap, so equal weighting may amplify common trends. As macro conditions evolve and ETF redemption mechanisms change, the usefulness of fund flows could vary. I see this indicator as one tool among many, and I’m considering adding stablecoin flows, derivatives funding rates, or halving‑cycle adjustments. Suggestions are welcome.
Personal note
I’m a student who enjoys exploring the intersection of macro flows, on‑chain analytics and market psychology. This script is free to use. You can enable or disable each component, adjust weights, change the display mode and lookback, and select individual ETF tickers. If it brings you value, feel free to follow my work or reach out with feedback. I appreciate your support. Please remember that this indicator is for educational purposes and not investment advice. I built this indicator in addition to my Liquidity indicator, where I use Global M2, the yield curve, and the high-yield spread to define risk-on/risk-off regimes. If you are interested, you can find it here:
References
CryptoQuant Team. (2024). Exchange in/outflow and netflow user guide.
Fosque, J. (2025). Bitcoin ETFs pull $17.8 billion in 90 days as price surges past $118 K. The Digital Chamber.
IntoTheBlock. (2022). Large holders inflow indicator description.
Singh, O. (2024). Crypto exchange inflows and outflows explained: What they reveal about market trends. CCN.
Wright, L. (2025). Bitcoin ETFs to lock up 1.5 million BTC by New Year as supply squeeze tightens grip. CryptoSlate.
