Daily Close Breakout 20/10 + 200 (Signals)Daily Close Breakout 20/10 + 200 (Signals)
A simple “check once per day” breakout signal tool designed for the Daily (1D) chart.
Quickstart:
* Signals are confirmed at the daily candle close.
* If a triangle prints today, the earliest you act is the next day’s open (not the same candle).
* Green triangle = consider entering long.
* Red triangle = consider exiting.
* Long-only (no shorts).
How to use:
* Use on the Daily (1D) timeframe.
* Check the chart once per day after the daily candle closes.
* Do not act intraday on signals.
Rules (default settings 20 / 10 / 200):
* BUY: A green up triangle prints when the daily close is above the prior 20-day high and above the 200-day Simple Moving Average.
* SELL: A red down triangle prints when the daily close is below the prior 10-day low.
Lines and colors:
* Prior 20-day high (entry level): red
* Prior 10-day low (exit level): yellow
* 200-day Simple Moving Average: aqua
Notes:
* Best used on the Daily (1D) timeframe. Other timeframes may behave differently.
* This script plots signals and reference levels only. For performance metrics, use a matching strategy/backtest script.
* Educational use only. Not financial advice.
Mata Uang Crypto
MACD Forecast Colorful [DiFlip]MACD Forecast Colorful
The Future of Predictive MACD — is one of the most advanced and customizable MACD indicators ever published on TradingView. Built on the classic MACD foundation, this upgraded version integrates statistical forecasting through linear regression to anticipate future movements — not just react to the past.
With a total of 22 fully configurable long and short entry conditions, visual enhancements, and full automation support, this indicator is designed for serious traders seeking an analytical edge.
⯁ Real-Time MACD Forecasting
For the first time, a public MACD script combines the classic structure of MACD with predictive analytics powered by linear regression. Instead of simply responding to current values, this tool projects the MACD line, signal line, and histogram n bars into the future, allowing you to trade with foresight rather than hindsight.
⯁ Fully Customizable
This indicator is built for flexibility. It includes 22 entry conditions, all of which are fully configurable. Each condition can be turned on/off, chained using AND/OR logic, and adapted to your trading model.
Whether you're building a rules-based quant system, automating alerts, or refining discretionary signals, MACD Forecast Colorful gives you full control over how signals are generated, displayed, and triggered.
⯁ With MACD Forecast Colorful, you can:
• Detect MACD crossovers before they happen.
• Anticipate trend reversals with greater precision.
• React earlier than traditional indicators.
• Gain a powerful edge in both discretionary and automated strategies.
• This isn’t just smarter MACD — it’s predictive momentum intelligence.
⯁ Scientifically Powered by Linear Regression
MACD Forecast Colorful is the first public MACD indicator to apply least-squares predictive modeling to MACD behavior — effectively introducing machine learning logic into a time-tested tool.
It uses statistical regression to analyze historical behavior of the MACD and project future trajectories. The result is a forward-shifted MACD forecast that can detect upcoming crossovers and divergences before they appear on the chart.
⯁ Linear Regression: Technical Foundation
Linear regression is a statistical method that models the relationship between a dependent variable (y) and one or more independent variables (x). The basic formula for simple linear regression is:
y = β₀ + β₁x + ε
Where:
y = predicted variable (e.g., future MACD value)
x = independent variable (e.g., bar index)
β₀ = intercept
β₁ = slope
ε = random error (residual)
The regression model calculates β₀ and β₁ using the least squares method, minimizing the sum of squared prediction errors to produce the best-fit line through historical values. This line is then extended forward, generating a forecast based on recent price momentum.
⯁ Least Squares Estimation
The regression coefficients are computed with the following formulas:
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables.
⯁ Regression in Machine Learning
Linear regression is a foundational model in supervised learning. Its ability to provide precise, explainable, and fast forecasts makes it critical in AI systems and quantitative analysis.
Applying linear regression to MACD forecasting is the equivalent of injecting artificial intelligence into one of the most widely used momentum tools in trading.
⯁ Visual Interpretation
Picture the MACD values over time like this:
Time →
MACD →
A regression line is fitted to recent MACD values, then projected forward n periods. The result is a predictive trajectory that can cross over the real MACD or signal line — offering an early-warning system for trend shifts and momentum changes.
The indicator plots both current MACD and forecasted MACD, allowing you to visually compare short-term future behavior against historical movement.
⯁ Scientific Concepts Used
Linear Regression: models the relationship between variables using a straight line.
Least Squares Method: minimizes squared prediction errors for best-fit.
Time-Series Forecasting: projects future data based on past patterns.
Supervised Learning: predictive modeling using labeled inputs.
Statistical Smoothing: filters noise to highlight trends.
⯁ Why This Indicator Is Revolutionary
First open-source MACD with real-time predictive modeling.
Scientifically grounded with linear regression logic.
Automatable through TradingView alerts and bots.
Smart signal generation using forecasted crossovers.
Highly customizable with 22 buy/sell conditions.
Enhanced visuals with background (bgcolor) and area fill (fill) support.
This isn’t just an update — it’s the next evolution of MACD forecasting.
⯁ Example of simple linear regression with one independent variable
This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables.
⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x)
This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component.
⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab
Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models.
⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted
This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model.
⯁ Result of fitting a set of data points with a quadratic function
This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line.
⯁ What is the MACD?
The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram.
⯁ How to use the MACD?
The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line.
Here are the primary signals generated by the MACD:
• Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal.
• Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal.
• Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal.
• Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI.
⯁ How to use MACD forecast?
The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities.
Step 1 — Spot Predicted Crossovers:
Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move.
Step 2 — Confirm with Histogram Projection:
Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions.
Step 3 — Combine with Multi-Timeframe Analysis:
Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast).
Step 4 — Set Entry Conditions & Automation:
Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts.
Step 5 — Trade Ahead of the Market:
By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders.
📈 BUY
🍟 Signal Validity: The signal will remain valid for X bars.
🍟 Signal Sequence: Configurable as AND or OR.
🍟 MACD > Signal Smoothing
🍟 MACD < Signal Smoothing
🍟 Histogram > 0
🍟 Histogram < 0
🍟 Histogram Positive
🍟 Histogram Negative
🍟 MACD > 0
🍟 MACD < 0
🍟 Signal > 0
🍟 Signal < 0
🍟 MACD > Histogram
🍟 MACD < Histogram
🍟 Signal > Histogram
🍟 Signal < Histogram
🍟 MACD (Crossover) Signal
🍟 MACD (Crossunder) Signal
🍟 MACD (Crossover) 0
🍟 MACD (Crossunder) 0
🍟 Signal (Crossover) 0
🍟 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
📉 SELL
🍟 Signal Validity: The signal will remain valid for X bars.
🍟 Signal Sequence: Configurable as AND or OR.
🍟 MACD > Signal Smoothing
🍟 MACD < Signal Smoothing
🍟 Histogram > 0
🍟 Histogram < 0
🍟 Histogram Positive
🍟 Histogram Negative
🍟 MACD > 0
🍟 MACD < 0
🍟 Signal > 0
🍟 Signal < 0
🍟 MACD > Histogram
🍟 MACD < Histogram
🍟 Signal > Histogram
🍟 Signal < Histogram
🍟 MACD (Crossover) Signal
🍟 MACD (Crossunder) Signal
🍟 MACD (Crossover) 0
🍟 MACD (Crossunder) 0
🍟 Signal (Crossover) 0
🍟 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
🤖 Automation
All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies.
⯁ Unique Features
Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Background Colors: "bgcolor"
Background Colors: "fill"
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Background Colors: "bgcolor"
Background Colors: "fill"
Dumb Money Flow - Retail Panic & FOMO# Dumb Money Flow (DMF) - Retail Panic & FOMO
## 🌊 Overview
**Dumb Money Flow (DMF)** is a powerful **contrarian indicator** designed to track the emotional state of the retail "herd." It identifies moments of extreme **Panic** (irrational selling) and **FOMO** (irrational buying) by analyzing on-chain data, volume anomalies, and price velocity.
In crypto markets, retail traders often buy the top (FOMO) and sell the bottom (Panic). This indicator helps you do the opposite: **Buy when the herd is fearful, and Sell when the herd is greedy.**
---
## 🧠 How It Works
The indicator combines multiple data points into a single **Sentiment Index** (0-100), normalized over a 90-day period to ensure it always uses the full range of the chart.
### 1. Panic Index (Bearish Sentiment)
Tracks signs of capitulation and fear. High values contribute to the **Panic Zone**.
* **Exchange Inflows:** Spikes in funds moving to exchanges (preparing to sell).
* **Volume Spikes:** High volume during price drops (panic selling).
* **Price Crash (ROC):** Rapid, emotional price drops over 3 days.
* **Volatility (ATR):** High market nervousness and instability.
### 2. FOMO Index (Bullish Sentiment)
Tracks signs of euphoria and greed. High values contribute to the **FOMO Zone**.
* **Exchange Outflows:** Funds moving to cold storage (HODLing/Greed).
* **Profitable Addresses:** When >90% of holders are in profit, tops often form.
* **Parabolic Rise:** Rapid, unsustainable price increases.
---
## 🎨 Visual Guide
The indicator uses a distinct color scheme to highlight extremes:
* **🟢 Dark Green Zone (> 80): Extreme FOMO**
* **Meaning:** The crowd is euphoric. Risk of a correction is high.
* **Action:** Consider taking profits or looking for short entries.
* **🔴 Dark Burgundy Zone (< 20): Extreme Panic**
* **Meaning:** The crowd is capitulating. Prices may be oversold.
* **Action:** Look for buying opportunities (catching the knife with confirmation).
* **🔵 Light Blue Line:**
* The smoothed moving average of the sentiment, helpful for seeing the trend direction.
---
## 🛠️ How to Use (Trading Strategies)
### 1. Contrarian Reversals (The Primary Strategy)
* **Buy Signal:** Wait for the line to drop deep into the **Burgundy Panic Zone (< 20)** and then start curling up. This indicates that the worst of the selling pressure is over.
* **Sell Signal:** Wait for the line to spike into the **Green FOMO Zone (> 80)** and then start curling down. This suggests buying exhaustion.
### 2. Divergences
* **Bullish Divergence:** Price makes a **Lower Low**, but the DMF Indicator makes a **Higher Low** (less panic on the second drop). This is a strong reversal signal.
* **Bearish Divergence:** Price makes a **Higher High**, but the DMF Indicator makes a **Lower High** (less FOMO/buying power on the second peak).
### 3. Trend Confirmation (Midline Cross)
* **Crossing 50 Up:** Sentiment is shifting from Fear to Greed (Bullish).
* **Crossing 50 Down:** Sentiment is shifting from Greed to Fear (Bearish).
---
## ⚙️ Settings
* **Data Source:** Defaults to `INTOTHEBLOCK` for on-chain data.
* **Crypto Asset:** Auto-detects BTC/ETH, but can be forced.
* **Normalization Period:** Default 90 days. Determines the "window" for defining what is considered "Extreme" relative to recent history.
* **Weights:** You can customize how much each factor (Volume, Inflows, Price) contributes to the index.
---
**Disclaimer:** This indicator is for educational purposes only. "Dumb Money" analysis is a probability tool, not a crystal ball. Always manage your risk.
**Indicator by:** @iCD_creator
**Version:** 1.0
**Pine Script™ Version:** 6
---
## Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator
## Overview
The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing.
## What It Does
This indicator normalizes and combines:
- **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges
- **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols
The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions.
## Core Concept
### Exchange Flows
- **Negative Flow (Outflows)** = Bullish Signal
- Coins moving OFF exchanges → Long-term holding/accumulation
- Indicates reduced selling pressure
- **Positive Flow (Inflows)** = Bearish Signal
- Coins moving TO exchanges → Preparation for selling
- Indicates potential distribution phase
### Total Value Locked (TVL)
- **Rising TVL** = Bullish Signal
- Capital flowing into DeFi protocols
- Increased ecosystem confidence
- **Falling TVL** = Bearish Signal
- Capital exiting DeFi protocols
- Decreased ecosystem confidence
### Combined Signals
**🟢 Strong Bullish (70-100):**
- Exchange outflows + Rising TVL
- Smart money accumulating and deploying capital
**🔴 Strong Bearish (0-30):**
- Exchange inflows + Falling TVL
- Smart money preparing to sell and exiting positions
**⚪ Neutral (40-60):**
- Mixed or balanced flows
## Key Features
### ✅ Auto-Detection
- Automatically detects chart symbol (BTC/ETH)
- Uses appropriate exchange flow data for each asset
### ✅ Weighted Composite
- Customizable weights for Exchange Flow and TVL components
- Default: 50/50 balance
### ✅ Normalized Scale
- 0-100 index scale
- Configurable lookback period for normalization (default: 90 days)
### ✅ Signal Zones
- **Overbought**: 70+ (Strong bullish pressure)
- **Oversold**: 30- (Strong bearish pressure)
- **Extreme**: 85+ / 15- (Very strong signals)
### ✅ Clean Interface
- Minimal visual clutter by default
- Only main index line and MA visible
- Optional elements can be enabled:
- Background color zones
- Divergence signals
- Trend change markers
- Info table with detailed metrics
### ✅ Divergence Detection
- Identifies when price diverges from smart money flows
- Potential reversal warning signals
### ✅ Alerts
- Extreme overbought/oversold conditions
- Trend changes (crossing 50 line)
- Bullish/bearish divergences
## How to Use
### 1. Trend Confirmation
- Index above 50 = Bullish trend
- Index below 50 = Bearish trend
- Use with price action for confirmation
### 2. Reversal Signals
- **Extreme readings** (>85 or <15) suggest potential reversal
- Look for divergences between price and indicator
### 3. Accumulation/Distribution
- **70+**: Accumulation phase - smart money buying/holding
- **30-**: Distribution phase - smart money selling
### 4. DeFi Health
- Monitor TVL component for DeFi ecosystem strength
- Combine with exchange flows for complete picture
## Settings
### Data Sources
- **Exchange Flow**: IntoTheBlock real-time data
- **TVL**: DefiLlama aggregated DeFi TVL
- **Manual Mode**: For testing or custom data
### Indicator Settings
- **Smoothing Period (MA)**: Default 14 periods
- **Normalization Lookback**: Default 90 days
- **Exchange Flow Weight**: Adjustable 0-100%
- **Overbought/Oversold Levels**: Customizable thresholds
### Visual Options
- Show/Hide Moving Average
- Show/Hide Zone Lines
- Show/Hide Background Colors
- Show/Hide Divergence Signals
- Show/Hide Trend Markers
- Show/Hide Info Table
## Data Requirements
⚠️ **Important Notes:**
- Uses **daily data** from IntoTheBlock and DefiLlama
- Works on any chart timeframe (data updates daily)
- Auto-switches between BTC and ETH based on chart
- All other crypto charts default to BTC exchange flow data
## Best Practices
1. **Use on Daily+ Timeframes**
- On-chain data is daily, most effective on D/W/M charts
2. **Combine with Price Action**
- Use as confirmation, not standalone signals
3. **Watch for Divergences**
- Price making new highs while indicator falling = warning
4. **Monitor Extreme Zones**
- Sustained readings >85 or <15 indicate strong conviction
5. **Context Matters**
- Consider broader market conditions and fundamentals
## Calculation
1. **Exchange Net Flow** = Inflows - Outflows (inverted for index)
2. **TVL Rate of Change** = % change over smoothing period
3. **Normalize** both metrics to 0-100 scale
4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight)
5. **Smooth** with moving average
## Disclaimer
This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management.
On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy.
---
## Credits
**Data Sources:**
- IntoTheBlock: Exchange flow metrics
- DefiLlama: Total Value Locked data
**Indicator by:** @iCD_creator
**Version:** 1.0
**Pine Script™ Version:** 6
---
## Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
BTC Future CME Cross-Market DetectorProject Spec: BTC CME Cross-Market Detector
1. Project Overview
Indicator Name
CME Cross-Market Detector
Objective
To identify high-probability trade setups by detecting and confirming "smart money" activity across two distinct market venues simultaneously: a primary crypto exchange (e.g., Bybit, Binance) and the institutional CME futures market.
Core Philosophy
Price movements are often preceded by the positioning of large, institutional players ("smart money"). While their activity can be seen on any single exchange, the signal becomes exceptionally reliable when the same footprint appears at the same time in both the broader crypto derivatives market and the highly regulated institutional futures market. This dual-market confirmation acts as a powerful noise filter, isolating signals that have a higher probability of follow-through.
2. Key Concepts & Signal Logic
The indicator's entire foundation rests on confirming that specific conditions are met on two datasets at the same time: (1) The user's current chart (e.g., BYBIT:BTCUSDT) and (2) The CME Bitcoin Futures chart (CME:BTC1!).
Smart Volume Analysis
To gauge buying vs. selling pressure, the total volume of a single candle is algorithmically split. This is not a perfect science but an effective estimation based on the candle's structure.
Buying Pressure is considered proportional to the distance the price closed from the low. Buying Pressure ≈ Total Volume × ((Close - Low) / (High - Low))
Selling Pressure is considered proportional to the distance the price closed from the high. Selling Pressure ≈ Total Volume × ((High - Close) / (High - Low))
Signal Trigger Conditions
For a potential signal to be identified on each market independently, two conditions must be met:
Volume Spike: The volume of the current candle must be significantly higher than the recent average volume (e.g., >150% of the 20-period moving average). This shows a sudden, high level of interest.
Pressure Imbalance: The estimated buying pressure must overwhelm the selling pressure by a certain factor (e.g., 3x), or vice versa for a sell signal. This indicates a clear directional intent.
The Final Confirmed Signal
A signal is only considered valid and plotted on the chart when the Signal Trigger Conditions (both Volume Spike and Pressure Imbalance) are met on both the primary chart and the CME chart on the very same candle.
3. Signal Strength Calculation
The percentage shown on the chart is a Signal Strength Score (0-100%), which rates the quality and conviction of the confirmed signal.
The score is calculated as follows:
Base Score Calculation (0-100 points): A base score is calculated for each market (primary and CME) by combining two factors:
Volume Component (0-50 pts): Measures the intensity of the volume spike. A 300% volume spike will score higher than a 150% spike.
Imbalance Component (0-50 pts): Measures the intensity of the buy/sell pressure ratio. A 5x imbalance will score higher than a 3x imbalance.
Advanced Modifiers (Bonus Points): The base score is then enhanced with bonus points for favorable conditions:
Trend Alignment (+10 pts): A buy signal that occurs during a clear uptrend receives extra points.
Candle Structure (+10 pts): A buy signal on a candle with a long lower wick (indicating rejection of lower prices) receives extra points.
Final Averaged Score: The final percentage you see is the average of the two individual strength scores calculated for the primary exchange and the CME market.
4. Visualization
Energy Waves: Signals are displayed as circles. Green for Buy Signals (below the candle) and Red for Sell Signals (above the candle).
Dynamic Sizing: The size of the circle directly reflects the Signal Strength Score, categorized into four distinct levels (e.g., 10%+, 40%+, 60%+, and 80%+) for at-a-glance interpretation.
Percentage Labels: Each signal is plotted with its precise, final strength score for clear analysis.
5. Summary: Steps to Replicate the Logic
To recreate this indicator, follow these high-level steps for each candle on the chart:
Gather Data: Fetch the Open, High, Low, Close, and Volume data for the primary chart asset AND for the corresponding CME Bitcoin Futures symbol (CME:BTC1!).
Calculate Buy/Sell Pressure: For both datasets, use the "Smart Volume Analysis" formula to estimate the buying and selling pressure for the current candle.
Check for Volume Spikes: For both datasets, calculate a simple moving average of the volume. Check if the current candle's volume exceeds this average by a set threshold (e.g., 150%).
Check for Pressure Imbalance: For both datasets, check if the buying pressure is greater than the selling pressure by a set multiplier (e.g., 3.0), or vice versa.
Confirm the Signal: A final signal is only valid if the conditions from both Step 3 and Step 4 are true for both datasets on the same candle.
Calculate Strength: If a signal is confirmed, compute a strength score (0-100) for each dataset based on the intensity of the volume spike and pressure imbalance. Add bonus points for confluence factors like trend alignment.
Finalize and Plot: Average the two strength scores from each market. Plot a colored, sized circle on the chart that visually represents this final averaged score, and display the score as a text label.
Last but not least, the idea of the indicator is inspired by 52SIGNAL
BTC ETF Flow Monitor🚀 Bitcoin ETF Flow Monitor - Track Institutional Money Flows
Monitor real-time dollar flows across major Bitcoin ETFs with this professional-grade indicator inspired by Dune Analytics. Perfect for tracking institutional sentiment and Bitcoin adoption trends.
📊 Key Features: • Real Dollar Flows : Display actual estimated flows in millions USD, not abstract indices
• 5 Major ETFs : IBIT (BlackRock), FBTC (Fidelity), ARKB (ARK), BITB (Bitwise), GBTC (Grayscale)
• Dune Analytics Style : Clean, professional visualization with meaningful thresholds
• Smart Alerts : Get notified of significant flow changes and BTC price divergences
• Enhanced Summary Table : Live stats including total flows, trends, and market sentiment
💡 How It Works: Combines volume, price action, and momentum to estimate institutional dollar flows. Positive values = inflows (buying pressure), negative values = outflows (selling pressure). Scale shows millions of USD for easy interpretation.
🎯 Perfect For:
- Tracking institutional Bitcoin adoption
- Identifying accumulation/distribution phases
- Spotting divergences between ETF flows and BTC price
- Understanding market sentiment shifts
⚡ Professional Grade: Built with advanced Pine Script techniques, optimized performance, and real-world trading applications in mind.
Crypto Index Price# Crypto Index Price - Indicator Description
## 📊 What is this indicator?
**Crypto Index Price** is an indicator for creating your own cryptocurrency index based on an equal-weighted portfolio. It allows you to track the overall dynamics of the cryptocurrency market through a composite index of selected assets.
## 🎯 Key Features
- **Up to 20 assets in the index** — create an index from any trading pairs
- **Equal-weighted methodology** — each asset has the same weight in the index
- **Moving average** — optional trend filter for the index
- **Flexible visualization settings** — customizable colors and line thickness
## 📈 How to Use
The indicator is displayed in a separate pane below the chart and shows:
1. **Blue line** — crypto index value
2. **Orange line** (optional) — moving average of the index
### Trading Applications:
- **Identify overall market trend** — if the index is rising, most coins are in an uptrend
- **Divergences** — divergence between your asset and the index may signal local opportunities
- **Signal confirmation** — use the index to confirm trading decisions on individual coins
- **Market condition filter** — trade longs when index is above MA, shorts when below
## ⚙️ Settings
### Assets (Symbols)
- **Asset 1-10** — main cryptocurrencies (default: BTC, ETH, BNB, SOL, XRP, ADA, AVAX, LINK, DOGE, TRX)
- **Asset 11-20** — additional slots for index expansion
### Visual Parameters
- **Index line color** — main line color (default: blue)
- **Line width** — from 1 to 5 pixels
- **Show moving average** — enable/disable MA
- **MA period** — moving average calculation period (default: 20)
- **MA color** — moving average line color (default: orange)
## 💡 Recommendations
- For a top coins index, use 5-10 largest cryptocurrencies by market cap
- For an altcoin index, add medium and small coins from your sector
- Use MA to filter false signals and identify the global trend
- Compare individual asset behavior with the index to find anomalies
## ⚠️ Important
The indicator uses equal-weighted methodology — each coin contributes equally regardless of price or market cap. This differs from cap-weighted indices and may provide a different market perspective.
---
*This indicator is intended for analysis and is not trading advice. Always conduct your own analysis before making trading decisions.*
---
Hello Crypto! Modern Combo Snapshot
Unified long/short analyzer blending EMA structure, SuperTrend, WaveTrend, QQE, and volume pressure.
Background shading flags “watch” and “ready” states; optional long/short modules let you focus on one side.
Alerts fire when every checklist item aligns, while the side-panel table summarizes trend, momentum, liquidity, and overall score in real time.
Indicator → Trend Analysis
Indicator → Momentum Oscillators
Indicator → Volume Indicators
Tags:
cryptocurrency, bitcoin, altcoins, trend-following, momentum, volume, ema, supertrend, intraday, swing-trading, alerts, checklist, trading-strategy, risk-management
VAGANZA Swings V1 LITE1. Introduction: The Philosophy Behind VAGANZA Swings
The VAGANZA Swings V1 LITE was developed to solve a common problem faced by swing traders: getting caught in low-probability trades during choppy, sideways markets. Many indicators can identify a trend, but few can effectively measure its quality and pinpoint optimal, low-risk entry points within that trend.
This script is not merely a "mashup" of existing indicators. It is a structured, multi-layered filtering system where each component is specifically chosen to address the weaknesses of the others. The core philosophy is to trade only when there is a clear market consensus, confirmed by trend, strength, momentum, and volume. This results in fewer signals, but each signal is designed to be of significantly higher quality.
2. The VAGANZA Confirmation Engine: A Deeper Look at the Logic
A signal is only generated when four distinct market conditions align. This sequential confirmation process is what makes the script unique and robust.
Layer 1: The Trend Regime Filter
What it does: The indicator first establishes the dominant market bias using a dual-speed baseline system. A faster-reacting baseline is compared against a slower, more stable baseline to determine if the market is in a long-term bullish or bearish "regime."
Why it's important: This foundational step ensures we are never fighting the primary market current. BUY signals are disabled during a bearish regime, and SELL signals are disabled during a bullish regime, instantly eliminating 50% of potentially bad trades.
Layer 2: The Trend Strength & Conviction Qualifier
What it does: This is the script's core intelligence. After confirming the trend's direction, this layer uses a directional volatility engine to measure the trend's strength or conviction. It analyzes the expansion between bullish and bearish price movements.
Why it's important: A simple moving average crossover can occur in a weak, drifting market, leading to false signals. This filter requires the trend to be demonstrably powerful (above a predefined strength threshold of 25) before allowing the system to even look for an entry. It's the primary filter for avoiding sideways market traps.
Layer 3: The Dynamic Pullback & Entry Trigger
What it does: Instead of chasing price at its peak, the script waits for a natural "breather" or pullback. It employs a momentum cycle oscillator to identify when the price has become temporarily oversold within a strong uptrend, or overbought within a strong downtrend. The signal is triggered at the precise moment momentum appears to be rejoining the primary trend.
Why it's important: This ensures a more favorable risk-to-reward ratio. By entering on a pullback, traders can avoid buying the top or selling the bottom of a short-term swing, which is a common mistake.
Layer 4: The Volume Participation Check
What it does: As a final confirmation, the script checks the volume on the signal candle. It requires the volume to be higher than its recent average.
Why it's important: A price move without significant volume can be a trap. This final check confirms that there is genuine market participation and conviction behind the signal, suggesting that larger market players are supporting the move.
3. The Synergy of the System (Why This Combination is Original)
The originality of VAGANZA Swings lies not in its individual components, but in their synergistic interaction:
The Trend Regime Filter sets the stage.
The Trend Strength Qualifier prevents signals when the stage is poorly lit (i.e., a weak trend).
The Pullback & Entry Trigger tells the actor exactly when to enter the stage for maximum impact.
The Volume Check ensures the audience is actually watching.
Without the strength filter, the trend filter would fail in ranging markets. Without the pullback trigger, entries would have poor risk-reward. This interdependent, sequential logic provides a unique and useful tool that goes beyond what a single indicator can offer.
4. How to Use This Script
Timeframe: Optimized for the 4-Hour (H4) chart, as this provides a balance between meaningful swings and actionable signals. It can also be used on the Daily (D1) chart for longer-term analysis.
BUY Signal (Green "BUY" Arrow): Appears only when a strong, confirmed uptrend experiences a temporary, oversold pullback and volume confirms renewed buying interest. This is a high-probability signal to consider a long position.
SELL Signal (Red "SELL" Arrow): Appears only when a strong, confirmed downtrend experiences a temporary, overbought rally and volume confirms renewed selling pressure. This is a high-probability signal to consider a short position.
Risk Management: This indicator provides entry signals only. It is crucial that you apply your own risk management rules. Always use a stop-loss and have a clear take-profit strategy for every trade.
Disclaimer: This tool is for decision-support and does not constitute financial advice. All trading involves risk. Past performance is not indicative of future results. Please backtest thoroughly before using this script with real capital.
Aggregated Open Interest Multi-Exchange (USD)This indicator aggregates Open Interest (OI) data from multiple major cryptocurrency exchanges into a single unified view in USD, using data available on TradingView. It automatically adapts to the asset you're viewing on the chart.
Features:
Aggregates OI from 7 major exchanges: Binance, Bybit, OKX, Bitget, Deribit, HTX, and Coinbase
All values converted to USD - unlike native OI which shows contracts/coins
Uses only data available on TradingView platform
Automatically detects the asset from your chart (BTC, ETH, SOL, etc.)
True apples-to-apples comparison across exchanges
Displays as candlesticks showing OI open, high, low, and close
Toggle exchanges on/off individually
Handles different contract types per exchange automatically
Why USD conversion matters:
Traditional OI indicators show values in contracts or crypto units, making it difficult to compare across exchanges. This indicator converts everything to USD, giving you the real dollar value of open positions across all exchanges.
How it works:
Simply add the indicator to any crypto perpetual futures chart. It will automatically fetch and aggregate OI data from all supported exchanges for that asset using TradingView's built-in data feeds, converting everything to USD.
Supported Exchanges:
Binance, Bybit, Bitget, HTX: USDT perpetuals
Deribit: BTC/ETH use USD contracts, others use USDC
OKX: Contract-based (automatically converted)
Coinbase: USDC perpetuals
Perfect for traders who want a comprehensive view of total market Open Interest in USD across exchanges using reliable TradingView data.
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges
General Description
The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting.
Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms.
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Key Features
• Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data)
• Support for contract types: USDT.P, USD.P, USDC.P, USD.PM
• Automatic normalization of various OI data formats from different providers
• Display modes:
• OI candlestick chart (total aggregated OI)
• OI Delta (change in OI per bar)
• Full table with detailed data by exchange and contract type
• Short summary table with totals in USD and base assets
• Support for USD or COIN denomination
• Convenient formatting for large numbers
• Customizable colors
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How to Use the Indicator
1. Select Exchanges
In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster.
2. Choose Data Type
• OI — aggregated open interest from selected exchanges.
• OI delta — delta (change in OI compared to the previous bar).
3. Denomination
• USD — values are converted into USD equivalents.
• COIN — values are shown in the base asset (BTC, ETH, etc.).
4. Reading the Chart
• OI candlesticks show the overall OI dynamics.
• Delta histogram highlights how much OI has grown or decreased per bar.
• Colors are fully customizable.
5. Tables
• Enabled via the Show table option.
• Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated.
• Short Table → Displays only the total OI values in USD and the base asset.
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Important Notes
• For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation.
str(d, n, s) =>
str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s
format(_r) =>
d = str.tostring(math.round(_r))
str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d
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Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
ZFT ClassicMA combination used in the ZFT system so students can identify long term, medium term, and short term trends within a minute.
RISK ROTATION MATRIX ║ BullVision [3.0]🔍 Overview
The Risk Rotation Matrix is a comprehensive market regime detection system that analyzes global market conditions across four critical domains: Liquidity, Macroeconomic, Crypto/Commodities, and Risk/Volatility. Through proprietary algorithms and advanced statistical analysis, it transforms 20+ diverse market metrics into a unified framework for identifying regime transitions and risk rotations.
This institutional-grade system aims to solve a fundamental challenge: how to synthesize complex, multi-domain market data into clear, actionable trading intelligence. By combining proprietary liquidity calculations with sophisticated cross-asset analysis.
The Four-Domain Architecture
1. 💧 LIQUIDITY DOMAIN
Our liquidity analysis combines standard metrics with proprietary calculations:
Proprietary Components:
Custom Global Liquidity Index (GLI): Unique formula aggregating central bank assets, credit spreads, and FX dynamics through our weighted algorithm
Federal Reserve Balance Proxy: Advanced calculation incorporating reverse repos, TGA fluctuations, and QE/QT impacts
China Liquidity Proxy: First-of-its-kind metric combining PBOC operations with FX-adjusted aggregates
Global M2 Composite: Custom multi-currency M2 aggregation with proprietary FX normalization
2. 📈 MACRO DOMAIN
Sophisticated integration of global economic indicators:
S&P 500: Momentum and trend analysis with custom z-score normalization
China Blue Chips: Asian market sentiment with correlation filtering
MBA Purchase Index: Real estate market health indicator
Emerging Markets (EEMS): Risk appetite measurement
Global ETF (URTH): Worldwide equity exposure tracking
Each metric undergoes proprietary transformation to ensure comparability and regime-specific sensitivity.
3. 🪙 CRYPTO/COMMODITIES DOMAIN
Unique cross-asset analysis combining:
Total Crypto Market Cap: Liquidity flow indicator with custom smoothing
Bitcoin SOPR: On-chain profitability analysis with adaptive periods
MVRV Z-Score: Advanced implementation with multiple MA options
BTC/Silver Ratio: Novel commodity-crypto relationship metric
Our algorithms detect when crypto markets lead or lag traditional assets, providing crucial timing signals.
4. ⚡ RISK/VOLATILITY DOMAIN
Advanced volatility regime detection through:
MOVE Index: Bond volatility with inverse correlation analysis
VVIX/VIX Ratio: Volatility-of-volatility for regime extremes
SKEW Index: Tail risk measurement with custom normalization
Credit Stress Composite: Proprietary combination of credit spreads
USDT Dominance: Crypto flight-to-safety indicator
All risk metrics are inverted and normalized to align with the unified scoring system.
🧠 Advanced Integration Methodology
Multi-Stage Processing Pipeline
Data Collection: Real-time aggregation from 20+ sources
Normalization: Custom z-score variants accounting for regime-specific volatility
Domain Scoring: Proprietary weighting within each domain
Cross-Domain Synthesis: Advanced correlation matrix between domains
Regime Detection: State-transition model identifying four market phases
Signal Generation: Composite score with adaptive smoothing
🔁 Composite Smoothing & Signal Generation
The user can apply smoothing (ALMA, EMA, etc.) to highlight trends and reduce noise. Smoothing length, type, and parameters are fully customizable for different trading styles.
🎯 Color Feedback & Market Regimes
Visual dynamics (color gradients, labels, trails, and quadrant placement) offer an at-a-glance interpretation of the market’s evolving risk environment—without forecasting or forward-looking assumptions.
🎯 The Quadrant Visualization System
Our innovative visual framework transforms complex calculations into intuitive intelligence:
Dynamic Ehlers Loop: Shows current position and momentum
Trailing History: Visual path of regime transitions
Real-Time Animation: Immediate feedback on condition changes
Multi-Layer Information: Depth through color, size, and positioning
🚀 Practical Applications
Primary Use Cases
Multi-Asset Portfolio Management: Optimize allocation across asset classes based on regime
Risk Budgeting: Adjust exposure dynamically with regime changes
Tactical Trading: Time entries/exits using regime transitions
Hedging Strategies: Implement protection before risk-off phases
Specific Trading Scenarios
Domain Divergence: When liquidity improves but risk metrics deteriorate
Early Rotation Detection: Crypto/commodity signals often lead broader markets
Volatility Regime Trades: Position for mean reversion or trend following
Cross-Asset Arbitrage: Exploit temporary dislocations between domains
⚙️ How It Works
The Composite Score Engine
The system's intelligence emerges from how it combines domains:
Each domain produces a normalized score (-2 to +2 range)
Proprietary algorithms weight domains based on market conditions
Composite score indicates overall market regime
Smoothing options (ALMA, EMA, etc.) optimize for different timeframes
Regime Classification
🟢 Risk-On (Green): Positive composite + positive momentum
🟠 Weakening (Orange): Positive composite + negative momentum
🔵 Recovery (Blue): Negative composite + positive momentum
🔴 Risk-Off (Red): Negative composite + negative momentum
Signal Interpretation Framework
The indicator provides three levels of analysis:
Composite Score: Overall market regime (-2 to +2)
Domain Scores: Identify which factors drive regime
Individual Metrics: Granular analysis of specific components
🎨 Features & Functionality
Core Components
Risk Rotation Quadrant: Primary visual interface with Ehlers loop
Data Matrix Dashboard: Real-time display of all 20+ metrics
Domain Aggregation: Separate scores for each domain
Composite Calculation: Unified score with multiple smoothing options
Customization Options
Selective Metrics: Enable/disable individual components
Period Adjustment: Optimize lookback for each metric
Smoothing Selection: 10 different MA types including ALMA
Visual Configuration: Quadrant scale, colors, trails, effects
Advanced Settings
Pre-smoothing: Reduce noise before final calculation
Adaptive Periods: Automatic adjustment during volatility
Correlation Filters: Remove redundant signals
Regime Memory: Hysteresis to prevent whipsaws
📋 Implementation Guide
Setup Process
Add to chart (optimized for daily, works on all timeframes)
Review default settings for your market focus
Adjust domain weights based on trading style
Configure visual preferences
Optimization by Trading Style
Position Trading: Longer periods (60-150), heavy smoothing
Swing Trading: Medium periods (20-60), balanced smoothing
Active Trading: Shorter periods (10-40), minimal smoothing
Best Practices
Monitor domain divergences for early signals
Use extreme readings (-1.5/+1.5) for high-conviction trades
Combine with price action for confirmation
Adjust parameters during major events (FOMC, earnings)
💎 What Makes This Unique
Beyond Traditional Indicators
Multi-Domain Integration: Only system combining liquidity, macro, crypto, and volatility
Proprietary Calculations: Custom formulas for GLI, Fed, China, and M2 proxies
Adaptive Architecture: Dynamically adjusts to market regimes
Institutional Depth: 20+ integrated metrics vs typical 3-5
Technical Innovation
Statistical Normalization: Custom z-score variants for cross-asset comparison
Correlation Management: Prevents double-counting related signals
Regime Persistence: Algorithms to identify sustainable vs temporary shifts
Visual Intelligence: Information-dense display without overwhelming
🔢 Performance Characteristics
Strengths
Early regime detection (typically 1-3 weeks ahead)
Robust across different market environments
Clear visual feedback reduces interpretation errors
Comprehensive coverage prevents blind spots
Optimal Conditions
Most effective with 100+ bars of history
Best on daily timeframe (4H minimum recommended)
Requires liquid markets for accurate signals
Performance improves with more enabled components
⚠️ Risk Considerations & Limitations
Important Disclaimers
Probabilistic system, not predictive
Requires understanding of macro relationships
Signals should complement other analysis
Past regime behavior doesn't guarantee future patterns
Known Limitations
Black swan events may cause temporary distortions
Central bank interventions can override signals
Requires active management during regime transitions
Not suitable for pure technical traders
💎 Conclusion
The Risk Rotation Matrix represents a new paradigm in market regime analysis. By combining proprietary liquidity calculations with comprehensive multi-domain monitoring, it provides institutional-grade intelligence previously available only to large funds. The system's strength lies not just in its individual components, but in how it synthesizes diverse market information into clear, actionable trading signals.
⚠️ Access & Intellectual Property Notice
This invite-only indicator contains proprietary algorithms, custom calculations, and years of quantitative research. The mathematical formulations for our liquidity proxies, cross-domain correlation matrices, and regime detection algorithms represent significant intellectual property. Access is restricted to protect these innovations and maintain their effectiveness for serious traders who understand the value of comprehensive market regime analysis.
MVRV Ratio [Alpha Extract]The MVRV Ratio Indicator provides valuable insights into Bitcoin market cycles by tracking the relationship between market value and realized value. This powerful on-chain metric helps traders identify potential market tops and bottoms, offering clear buy and sell signals based on historical patterns of Bitcoin valuation.
🔶 CALCULATION The indicator processes MVRV ratio data through several analytical methods:
Raw MVRV Data: Collects MVRV data directly from INTOTHEBLOCK for Bitcoin
Optional Smoothing: Applies simple moving average (SMA) to reduce noise
Status Classification: Categorizes market conditions into four distinct states
Signal Generation: Produces trading signals based on MVRV thresholds
Price Estimation: Calculates estimated realized price (Current price / MVRV ratio)
Historical Context: Compares current values to historical extremes
Formula:
MVRV Ratio = Market Value / Realized Value
Smoothed MVRV = SMA(MVRV Ratio, Smoothing Length)
Estimated Realized Price = Current Price / MVRV Ratio
Distance to Top = ((3.5 / MVRV Ratio) - 1) * 100
Distance to Bottom = ((MVRV Ratio / 0.8) - 1) * 100
🔶 DETAILS Visual Features:
MVRV Plot: Color-coded line showing current MVRV value (red for overvalued, orange for moderately overvalued, blue for fair value, teal for undervalued)
Reference Levels: Horizontal lines indicating key MVRV thresholds (3.5, 2.5, 1.0, 0.8)
Zone Highlighting: Background color changes to highlight extreme market conditions (red for potentially overvalued, blue for potentially undervalued)
Information Table: Comprehensive dashboard showing current MVRV value, market status, trading signal, price information, and historical context
Interpretation:
MVRV ≥ 3.5: Potential market top, strong sell signal
MVRV ≥ 2.5: Overvalued market, consider selling
MVRV 1.5-2.5: Neutral market conditions
MVRV 1.0-1.5: Fair value, consider buying
MVRV < 1.0: Potential market bottom, strong buy signal
🔶 EXAMPLES
Market Top Identification: When MVRV ratio exceeds 3.5, the indicator signals potential market tops, highlighting periods where Bitcoin may be significantly overvalued.
Example: During bull market peaks, MVRV exceeding 3.5 has historically preceded major corrections, helping traders time their exits.
Bottom Detection: MVRV values below 1.0, especially approaching 0.8, have historically marked excellent buying opportunities.
Example: During bear market bottoms, MVRV falling below 1.0 has identified the most profitable entry points for long-term Bitcoin accumulation.
Tracking Market Cycles: The indicator provides a clear visualization of Bitcoin's market cycles from undervalued to overvalued states.
Example: Following the progression of MVRV from below 1.0 through fair value and eventually to overvalued territory helps traders position themselves appropriately throughout Bitcoin's market cycle.
Realized Price Support: The estimated realized price often acts as a significant
support/resistance level during market transitions.
Example: During corrections, price often finds support near the realized price level calculated by the indicator, providing potential entry points.
🔶 SETTINGS
Customization Options:
Smoothing: Toggle smoothing option and adjust smoothing length (1-50)
Table Display: Show/hide the information table
Table Position: Choose between top right, top left, bottom right, or bottom left positions
Visual Elements: All plots, lines, and background highlights can be customized for color and style
The MVRV Ratio Indicator provides traders with a powerful on-chain metric to identify potential market tops and bottoms in Bitcoin. By tracking the relationship between market value and realized value, this indicator helps identify periods of overvaluation and undervaluation, offering clear buy and sell signals based on historical patterns. The comprehensive information table delivers valuable context about current market conditions, helping traders make more informed decisions about market positioning throughout Bitcoin's cyclical patterns.
PORTFOLIO TABLE Simple [Titans_Invest]PORTFOLIO TABLE Simple
This is a simple table for you to monitor your assets or cryptocurrencies in your SPOT wallet without needing to access your broker’s website or wallet app.
⯁ HOW TO USE THIS TABLE❓
You only need to select the asset and enter the amount of each one.
The table will show how much you have of each asset and the total value of your portfolio.
You’ll be able to monitor up to 39 assets in real time.
⯁ CONVERT VALUES
You can also activate and select a currency for conversion.
For example, cryptocurrency assets are calculated in US dollars, but you can select euros as the conversion currency.
The values originally in dollars will then be displayed in euros.
⯁ Track your Portfolio in real time:
⯁ Add your local Currency to Convert Values:
⯁ Follow your Portfolio Live:
___________________________________________________________
📜 SCRIPT : PORTFOLIO TABLE Simple
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
___________________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts.
🔶 CALCULATION
The indicator processes open interest data through multiple analytical methods:
Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization.
Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI.
Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements.
Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements.
Formula:
Aggregate OI = Sum of normalized open interest from selected exchanges
OI Change = Current OI - Previous OI
OI Delta = Net change in open interest across timeframes
OI Delta × Volume = OI Delta weighted by relative volume
OI RSI = Relative Strength Index applied to open interest values
OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods
🔶 DETAILS
Visual Features:
Open Interest: Candlestick representation of aggregated open interest
OI Change: Histogram showing period-to-period changes
OI Delta: Histogram displaying net OI movements
OI Delta × Volume: Volume-weighted OI delta for enhanced signals
OI RSI: Oscillator showing overbought/oversold OI conditions
OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days)
Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest
Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity.
Interpretation:
Increasing Open Interest + Rising Price: Strong bullish trend confirmation
Increasing Open Interest + Falling Price: Strong bearish trend confirmation
Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal)
Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal)
Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction
Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI
🔶 EXAMPLES
Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing.
Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend.
Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal.
Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections.
Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming.
Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies.
OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure.
Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections.
🔶 SETTINGS
Customization Options:
Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD)
Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap
Currency Units: Display in USD or base cryptocurrency (COIN)
Analysis Tools: Moving Average (length and color), RSI (length and color)
Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors
OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization
The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator
The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders:
✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity.
✔ Detect periods of capital inflow or outflow from stablecoins.
✔ Identify market sentiment shifts based on stablecoin reserves.
🔶 CALCULATION
The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap:
Stablecoin Aggregation
• Inputs:
USDT, USDC, DAI, USDD (daily closing values).
BUSD Market Cap (Glassnode data).
• Total Stablecoin Supply:
Sum of the listed stablecoins' market caps.
Stablecoin Supply Ratio (SSR)
• Formula:
SSR = Bitcoin Market Cap / Total Stablecoin Supply
• Normalized SSR:
Normalized by dividing SSR by its 200-day SMA.
Bollinger Bands
• Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations.
Example Calculation:
ssr = btcmc / stablecoin_liq
ratio = ssr / ta.sma(ssr, 200)
basis = ta.sma(ratio, 200)
dev = 2 * ta.stdev(ratio, 200)
upper = basis + dev
lower = basis - dev
🔶 DETAILS
Visual Features:
• Normalized SSR:
Plotted as a light green line.
• Upper Band:
Red line indicating SSR overbought zone.
• Lower Band:
Green line signaling SSR oversold zone.
Interpretation:
• High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power.
• Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure.
• Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes.
🔶 EXAMPLES
Market insights include:
• Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain.
• Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand.
🔶 SETTINGS
Customization Options:
• MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation.
• Period: Adjust the 200-day smoothing period.
• Deviation Multiplier: Modify the standard deviation multiplier (default: 2).
The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
4-Year Cycles [jpkxyz]Overview of the Script
I wanted to write a script that encompasses the wide-spread macro fund manager investment thesis: "Crypto is simply and expression of macro." A thesis pioneered by the likes of Raoul Pal (EXPAAM) , Andreesen Horowitz (A16Z) , Joe McCann (ASYMETRIC) , Bob Loukas and many more.
Cycle Theory Background:
The 2007-2008 financial crisis transformed central bank monetary policy by introducing:
- Quantitative Easing (QE): Creating money to buy assets and inject liquidity
- Coordinated global monetary interventions
Proactive 4-year economic cycles characterised by:
- Expansionary periods (low rates, money creation)
- Followed by contraction/normalisation
Central banks now deliberately manipulate liquidity, interest rates, and asset prices to control economic cycles, using monetary policy as a precision tool rather than a blunt instrument.
Cycle Characteristics (based on historical cycles):
- A cycle has 4 seasons (Spring, Summer, Fall, Winter)
- Each season with a cycle lasts 365 days
- The Cycle Low happens towards the beginning of the Spring Season of each new cycle
- This is followed by a run up throughout the Spring and Summer Season
- The Cycle High happens towards the end of the Fall Season
- The Winter season is characterised by price corrections until establishing a new floor in the Spring of the next cycle
Key Functionalities
1. Cycle Tracking
- Divides market history into 4-year cycles (Spring, Summer, Fall, Winter)
- Starts tracking cycles from 2011 (first cycle after the 2007 crisis cycle)
- Identifies and marks cycle boundaries
2. Visualization
- Colors background based on current cycle season
- Draws lines connecting:
- Cycle highs and lows
- Inter-cycle price movements
- Adds labels showing:
- Percentage gains/losses between cycles
- Number of days between significant points
3. Customization Options
- Allows users to customize:
- Colors for each season
- Line and label colors
- Label size
- Background opacity
Detailed Mechanism
Cycle Identification
- Uses a modulo calculation to determine the current season in the 4-year cycle
- Preset boundary years include 2015, 2019, 2023, 2027
- Automatically tracks and marks cycle transitions
Price Analysis
- Tracks highest and lowest prices within each cycle
- Calculates percentage changes:
- Intra-cycle (low to high)
- Inter-cycle (previous high to current high/low)
Visualization Techniques
- Background color changes based on current cycle season
- Dashed and solid lines connect significant price points
- Labels provide quantitative insights about price movements
Unique Aspects
1. Predictive Cycle Framework: Provides a structured way to view market movements beyond traditional technical analysis
2. Seasonal Color Coding: Intuitive visual representation of market cycle stages
3. Comprehensive Price Tracking: Captures both intra-cycle and inter-cycle price dynamics
4. Highly Customizable: Users can adjust visual parameters to suit their preferences
Potential Use Cases
- Technical analysis for long-term investors
- Identifying market cycle patterns
- Understanding historical price movement rhythms
- Educational tool for market cycle theory
Limitations/Considerations
- Based on a predefined 4-year cycle model (Liquidity Cycles)
- Historic Cycle Structures are not an indication for future performance
- May not perfectly represent all market behavior
- Requires visual interpretation
This script is particularly interesting for investors who believe in cyclical market theories and want a visual, data-driven representation of market stages.
Cryptocurrency SentimentOverview
This script focuses on calculating and visualizing the sentiment difference between LONG positions and SHORT positions for a selected cryptocurrency pair on the Bitfinex exchange. It provides a clean and clear visual representation of the sentiment, helping traders analyze market behavior.
Key Features
Dynamic Symbol Selection:
The script automatically detects the cryptocurrency symbol from the chart (syminfo.basecurrency) and dynamically constructs the LONGS and SHORTS ticker symbols.
Works seamlessly for pairs like BTCUSD, ETHUSD, and others available on Bitfinex.
Sentiment Calculation:
The sentiment difference is calculated as:
Sentiment Difference=−1×(100− SHORTS/LONGS ×100)
LONGS : The total number of long positions.
SHORTS : The total number of short positions.
If SHORTS is 0, the value is safely skipped to avoid division errors.
Color Coding:
The script visually highlights the sentiment difference:
Green Line: Indicates that LONG positions are dominant (bullish sentiment).
Red Line: Indicates that SHORT positions are dominant (bearish sentiment).
Zero Reference Line:
A gray horizontal line at 0 helps users quickly identify the transition between bullish (above zero) and bearish (below zero) sentiment.
How It Works
Fetching Data:
The script uses request.security to fetch LONGS and SHORTS data at the current chart timeframe (timeframe.period) for the dynamically generated Bitfinex tickers.
Handling Data:
Missing or invalid data (NaN) is filtered out to prevent errors.
Extreme spikes or irregular values are safely avoided.
Visualization:
The sentiment difference is plotted with dynamic color coding:
Green when LONGS > SHORTS (bullish sentiment).
Red when SHORTS > LONGS (bearish sentiment).
Benefits
Market Sentiment Insight: Helps traders quickly identify if the market is leaning towards bullish or bearish sentiment based on actual LONG and SHORT position data.
Dynamic and Adaptive: Automatically adjusts to the selected cryptocurrency symbol on the chart.
Clean Visualization: Focuses solely on sentiment difference with color-coded signals, making it easy to interpret.
Best Use Cases
Trend Confirmation: Use the sentiment difference to confirm trends during bullish or bearish moves.
Market Reversals: Identify potential reversals when sentiment shifts from positive (green) to negative (red) or vice versa.
Sentiment Monitoring: Monitor the overall market bias for cryptocurrencies like BTC, ETH, XRP, etc., in real-time.
Sample Chart Output
Above Zero → Green Line: Bullish sentiment dominates.
Below Zero → Red Line: Bearish sentiment dominates.
Zero Line → Transition point for shifts in sentiment.
Cryptocurrency StrengthMulti-Currency Analysis: Monitor up to 19 different currencies simultaneously, including major pairs like USD, EUR, JPY, and GBP, as well as emerging market currencies such as CNY, INR, and BRL.
Customizable Display: Easily toggle the visibility of each currency and personalize their colors to suit your preferences, allowing for a tailored analysis experience.
Real-Time Strength Measurement: The indicator calculates and displays the relative strength of each currency in real-time, helping you identify potential trends and trading opportunities.
Clear Visual Representation: With color-coded lines and a dynamic legend, the indicator presents complex currency relationships in an easy-to-understand format.
Advantages
Comprehensive Market View: Gain insights into the broader forex market dynamics by analyzing multiple currencies at once.
Trend Identification: Quickly spot strong and weak currencies, aiding in the identification of potential trending pairs.
Divergence Detection: Use the indicator to identify divergences between currency strength and price action, potentially signaling reversals or continuation patterns.
Flexible Time Frames: Apply the indicator across various time frames to align with your trading strategy, from intraday to long-term analysis.
Enhanced Decision Making: Make more informed trading decisions by understanding the relative strength of currencies involved in your trades.
Unique Qualities
TSI-Based Calculations: Utilizes the True Strength Index for a more nuanced and responsive measure of currency strength compared to simple price-based indicators.
Adaptive Legend: The indicator features a dynamic legend that updates automatically based on the selected currencies, ensuring a clutter-free and relevant display.
Emerging Market Inclusion: Unlike many standard currency strength indicators, this tool includes a wide range of emerging market currencies, providing a truly global perspective.
Whether you're a seasoned forex trader or just starting out, this Currency Strength Indicator offers valuable insights that can complement your existing strategy and potentially improve your trading outcomes. Its combination of comprehensive analysis, customization options, and clear visualization makes it an essential tool for navigating the complex world of currency trading.
Multi-Timeframe RangeThe Multi-Timeframe Range Indicator is designed for traders looking to monitor key price levels across various timeframes (Daily, Weekly, Monthly, Quarterly, and Yearly) directly on their charts. This indicator draws boxes and mid-lines for each timeframe’s high, low, and midpoint, enabling users to visualize price ranges and assess potential areas of support and resistance more effectively.
Features:
Dynamic Range Boxes: Displays the high, low, and midpoint levels for each specified timeframe, with customizable colors for easy differentiation.
Visual Cues for Monday’s Levels: Highlights Monday’s high, low, and midpoint levels each week to support intraday trading setups and weekly trend analysis.
Multi-Timeframe Flexibility: Easily toggle between timeframes to view ranges from daily to yearly, making this indicator suitable for both short-term and long-term traders.
Ideal Use Cases:
Identify key support and resistance zones based on multiple timeframes.
Assess weekly and monthly trends using the Monday range levels.
Gain insights into market structure across various timeframes.
Sector Daily Gain/Loss TableOverview: The "Sector Daily Gain/Loss Table" is a custom TradingView indicator designed to display the daily percentage changes in selected cryptocurrency sectors. This indicator provides a comprehensive view of the performance of various cryptocurrencies organized into specific sectors, helping traders and analysts to make informed decisions based on sector performance.
Key Features:
Dynamic Data Retrieval: The indicator retrieves daily closing prices for multiple cryptocurrencies across different exchanges (Binance and Bybit) using the request.security function. This allows users to monitor real-time price movements.
Sectors Covered:
BTC Sector: Includes Bitcoin (BTC).
ETH Sector: Includes Ethereum (ETH).
RWA Sector: Comprises various assets such as OM, ONDO, POLYX, SNX, PENDLE, and HIFI.
L1/L2 Sector: Features major Layer 1 and Layer 2 solutions including ETH, BNB, SOL, XRP, TON, ADA, AVAX, DOT, SUI, APT, ICP, POL, and more.
MEME Sector: Showcases popular meme coins like DOGE, SHIB, PEPE, WIF, BONK, FLOKI, ORDI, BOME, and NEIRO, along with MEW and POPCAT from Bybit.
AI Sector: Highlights AI-related tokens such as TAO, FET, GRT, THETA, WLD, and TURBO.
DEFI Sector: Displays decentralized finance projects including UNI, AAVE, INJ, RUNE, MKR, JUP, LDO, PENDLE, CAKE, LUNA, RAY, OSMO, KAVA, and RSR.
Average Gain/Loss Calculations: For each sector, the indicator calculates the average percentage change in price based on the included cryptocurrencies, offering insights into sector-wide performance trends.
Table Display: The performance metrics are presented in a clean and organized table format on the TradingView chart, providing easy access to vital information for traders.
User-Friendly Design: The table is designed to be visually appealing and informative, with color coding and clear labeling for each sector and its corresponding percentage change.
Usage: Traders can utilize this indicator to quickly assess the performance of various cryptocurrency sectors and make informed trading decisions based on the daily changes in sector performance.
Stablecoins: Market Cap Delta [Kendrick_Chan]Stablecoins Market Cap Growth Indicator is a tool designed to track and analyze the changes in the market capitalization of stablecoins over time. This indicator provides valuable insights into the stability and growth trends of stablecoins, which are digital currencies pegged to a stable asset like fiat currency or commodities.
Key Features:
1. Market Cap Tracking: Monitors the total market capitalization of various stablecoins, such as USDT, USDC, and BUSD, providing a comprehensive view of the stablecoin market.
2. Growth Analysis: Analyzes the growth rate of stablecoins, highlighting periods of significant increase or decrease in market cap.
3. Dominance Metrics: Shows the dominance of individual stablecoins within the overall market, helping to identify leading stablecoins and their market share.
4. Historical Data: Provides historical data on market cap changes, allowing users to identify long-term trends and patterns.
5. Comparative Insights: Compares the market cap growth of stablecoins against other cryptocurrencies and traditional financial assets.
Benefits:
Investment Decisions: Helps investors make informed decisions by understanding the stability and growth potential of different stablecoins.
Market Sentiment: Offers insights into market sentiment and investor confidence in stablecoins.
Risk Management: Assists in risk management by identifying stablecoins with consistent growth and stability.
By leveraging this indicator, users can gain a clearer perspective on the performance and reliability of stablecoins in the ever-evolving digital currency landscape.
