MA Cross MTF Alert (Miu)This script extends the classic moving average crossover strategy with support for up to 8 user-defined symbols across 4 custom timeframes, combined with a visual and alert system designed for traders who monitor multiple assets simultaneously.
Unlike traditional MA crossover tools, this script enables traders to receive real-time alerts for crossovers across multiple assets and timeframes, even when the script is not actively displayed on the chart — ideal for passive monitoring in multi-asset strategies.
What it does:
This script calculates two customizable moving averages (SMA or EMA) for each selected symbol and timeframe.
It then tracks crossover events:
- Bullish crossover when the fast MA crosses above the slow MA
- Bearish crossunder when the fast MA crosses below the slow MA
On the chart, it also displays the crossover signals for the current symbol and timeframe using color-coded cross icons.
Key features:
- Select SMA or EMA type for both moving averages
- Customize MA lengths and colors
- Works with any asset and timeframe
- Alerts include symbol and timeframe info for easy identification
How to use:
1) Add the indicator to your chart.
2) Choose the moving average type and lengths.
3) Enable/disable any of the 8 symbols and 4 timeframes.
4) Set up TradingView alerts by clicking “Create Alert” and selecting one of the alert() calls.
5) You will receive a message like:
BTC (1h) | MA Crossover ▲ or ETH (15m) | MA Crossunder ▼
Technical note:
This script uses request.security() to retrieve moving average values from up to 8 different symbols and 4 different timeframes in real time.
Feel free to leave your feedback or suggestions in the comments section below.
Enjoy!
Göstergeler ve stratejiler
Triple Moving Average Custom v2EMA SMA cross for better confirmation I personally using with Key Level.
EMA-MACD-Stoch by PashaThis indicator combines three popular technical analysis tools — EMA, MACD, and Stochastic — to generate strong and filtered buy/sell signals. It incorporates its own strategic logic and provides trade suggestions only when multiple confirmations align.
Developed by Mehmet (alias: Pasha), this indicator is designed for users seeking short-term entries in markets like BIST. It performs most effectively on the 30-minute timeframe, but can also be used across different timeframes.
Yearly Performance Table with CAGROverview
This Pine Script indicator provides a clear table displaying the annual performance of an asset, along with two different average metrics: the arithmetic mean and the geometric mean (CAGR).
Core Features
Annual Performance Calculation:
Automatically detects the first trading day of each calendar year.
Calculates the percentage return for each full calendar year.
Based on closing prices from the first to the last trading day of the respective year.
Flexible Display:
Adjustable Period: Displays data for 1-50 years (default: 10 years).
Daily Timeframe Only: Functions exclusively on daily charts.
Automatic Update: Always shows the latest available years.
Two Average Metrics:
AVG (Arithmetic Mean)
A simple average of all annual returns. (Formula: (R₁ + R₂ + ... + Rₙ) ÷ n)
Important: Can be misleading in the presence of volatile returns.
GEO (Geometric Mean / CAGR)
Compound Annual Growth Rate. (Formula: ^(1/n) - 1)
Represents the true average annual growth rate.
Fully accounts for the compounding effect.
Limitations
Daily Charts Only: Does not work on intraday or weekly/monthly timeframes.
Calendar Year Basis: Calculations are based on calendar years, not rolling 12-month periods.
Historical Data: Dependent on the availability of historical data from the broker/data provider.
Interpretation of Results
CAGR as Benchmark: The geometric mean is more suitable for performance comparisons.
Annual Patterns: Individual year figures can reveal seasonal or cyclical trends.
Customizable Alligator (Pane)Trend indicators that give you best signal. After Crossing indicated short term trend change.
SUPER Signal Alert BY JAK"Buy or sell according to the signal that appears, but it should also be confirmed with other technical tools." FX:USDJPY FX:EURUSD OANDA:XAUUSD BITSTAMP:BTCUSD OANDA:GBPUSD OANDA:GBPJPY
Golden Key: Opening Channel DashboardGolden Key: Opening Channel Dashboard
Complementary to the original Golden Key – The Frequency
Upgrade of 10 Monday's 1H Avg Range + 30-Day Daily Range
This indicator provides a structured dashboard to monitor the opening channel range and related metrics on 15m and 5m charts. Built to work alongside the Golden Key methodology, it focuses on pip precision, average volatility, and SL sizing.
What It Does
Detects first 4 candles of the session:
15m chart → first 4 Monday candles (1 hour)
5m chart → first 4 candles of each day (20 minutes)
Calculates pip range of the opening move
Stores and averages the last 10 such ranges
Calculates daily range average over 10 or 30 days
Generates SL size based on your multiplier setting
Auto-adjusts for FX, JPY, and XAUUSD pip sizes
Displays all values in a clean table in the top-right
How to Use It
Add to a 15m or 5m chart
Compare the current opening range to the average
Use the daily average to assess broader volatility
Define SL size using the opening range x multiplier
Customize display colors per table row
About This Script
This is not a visual box-style indicator. It is designed to complement the original “Golden Key – The Frequency” by focusing on metric output. It is also an upgraded version of the earlier "10 Monday’s 1H Avg Range" script, now supporting multi-timeframe logic and additional customization.
Disclaimer
This is a technical analysis tool. It does not provide trading advice. Use it in combination with your own research and strategy.
Psychological Levels + Buffer ZonesThis indicator automatically draws major (100-pip) and minor (50-pip) psychological levels on your Forex chart, along with optional buffer zones for smarter trade entries. Zones help you visually capture breakouts, retests, and fakeouts. Includes:
Major & minor psych levels
Adjustable buffer zones (±0.1%, etc.)
Customizable zone color & transparency
Optional ATR trailing lines for trend confirmation
Perfect for scalpers, breakout traders, and zone-based strategies.
Darren - Engulfing + MACD CrossDarren – Engulfing + MACD Cross
Overall Behavior
Identify an engulfing candle (bullish or bearish).
Wait up to windowBars bars for the corresponding MACD crossover (bullish engulfing → MACD cross up; bearish engulfing → MACD cross down).
If the crossover occurs within that window, trigger an entry (long or short) and close any opposite open trade.
Inputs
• macdFast (default 12): length of MACD fast EMA
• macdSlow (default 26): length of MACD slow EMA
• macdSignal (default 9): length of MACD signal line
• windowBars (default 3): maximum bars allowed between an engulfing candle and a MACD crossover
Indicators
• macdLine and signalLine are calculated using ta.macd(close, macdFast, macdSlow, macdSignal)
• macdHist = macdLine – signalLine, plotted as columns (green when ≥ 0, red when < 0)
Engulfing Pattern Detection
• Bullish engulfing (bullEngulfing) is true when the previous candle is bearish (close < open ), the current candle is bullish (close > open), and the current body fully engulfs the previous body (open < close and close > open ).
• Bearish engulfing (bearEngulfing) is the inverse: previous candle bullish, current candle bearish, and current body fully engulfs the prior body.
MACD Crossover Detection
• macdCrossUp is true when macdLine crosses above signalLine.
• macdCrossDown is true when macdLine crosses below signalLine.
Timing Logic
• barsSinceBull = ta.barssince(bullEngulfing) returns number of bars since the last bullish engulfing.
• barsSinceBear = ta.barssince(bearEngulfing) returns number of bars since the last bearish engulfing.
• longCondition occurs if a MACD cross up happens within windowBars bars of a bullish engulfing (barsSinceBull ≤ windowBars and macdCrossUp).
• shortCondition occurs if a MACD cross down happens within windowBars bars of a bearish engulfing (barsSinceBear ≤ windowBars and macdCrossDown).
Chart Markers
• “Bull” label below bar whenever bullEngulfing is true.
• “Bear” label above bar whenever bearEngulfing is true.
• Small “Up” ▲ below bar when macdCrossUp is true.
• Small “Down” ▼ above bar when macdCrossDown is true.
• Triangle ▲ below bar for Long Entry (longCondition).
• Triangle ▼ above bar for Short Entry (shortCondition).
Entry & Exit Rules
• On longCondition: enter “Long”, and close any existing “Short” position.
• On shortCondition: enter “Short”, and close any existing “Long” position.
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA)
Overview
The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets.
Key Features
Stochastic RSI Calculation
Computes a standard RSI over a user-defined period (default 50).
Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50).
Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3).
Defines oversold when both %K and %D are below 20, and overbought when both are above 80.
Triple EMA (TEMA)
Calculates three successive EMAs on the closing price with the same length (default 9).
Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line.
Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal.
Signal Logic
Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend.
Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50.
Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish).
Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish.
Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50.
Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish).
Visual Elements on Chart
TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization.
Buy/Sell Markers:
BUY STRONG: Lime label below the candle
BUY MEDIUM: Green triangle below the candle
BUY WEAK: Semi-transparent green circle below the candle
SELL STRONG: Red label above the candle
SELL MEDIUM: Orange triangle above the candle
SELL WEAK: Semi-transparent orange circle above the candle
Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell).
Dynamic Support/Resistance:
On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker.
On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker.
Alerts
Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish.
Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish.
General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish.
General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish.
Inputs
Stochastic RSI Settings (group “Stochastic RSI”):
K (smoothK): Period length for smoothing the %K line (default 3, minimum 1)
D (smoothD): Period length for smoothing the %D line (default 3, minimum 1)
RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1)
Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1)
RSI Source (src): Price source for the RSI (default = close)
TEMA Settings (group “Triple EMA”):
TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1)
How to Use
Add the Script
Copy and paste the indicator code into TradingView’s Pine Editor (version 6).
Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).”
Adjust Inputs
Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading).
Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument.
Modify TEMA Length if you prefer a faster or slower moving average response.
Interpret Signals
Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend.
Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum.
Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders.
Set Alerts
Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”).
Configure notifications (popup, email, webhook) according to your trading workflow.
Notes & Best Practices
Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out.
Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes.
Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends.
Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument.
No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals).
Author: Your Name or Username
Version: 1.0 (Pine Script v6)
Published: June 2025
Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
Levels Of Interest------------------------------------------------------------------------------------
LEVELS OF INTEREST (LOI)
TRADING INDICATOR GUIDE
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Table of Contents:
1. Indicator Overview & Core Functionality
2. VWAP Foundation & Historical Context
3. Multi-Timeframe VWAP Analysis
4. Moving Average Integration System
5. Trend Direction Signal Detection
6. Visual Design & Display Features
7. Custom Level Integration
8. Repaint Protection Technology
9. Practical Trading Applications
10. Setup & Configuration Recommendations
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1. INDICATOR OVERVIEW & CORE FUNCTIONALITY
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The LOI indicator combines multiple VWAP calculations with moving averages across different timeframes. It's designed to show where institutional money is flowing and help identify key support and resistance levels that actually matter in today's markets.
Primary Functions:
- Multi-timeframe VWAP analysis (Daily, Weekly, Monthly, Yearly)
- Advanced moving average integration (EMA, SMA, HMA)
- Real-time trend direction detection
- Institutional flow analysis
- Dynamic support/resistance identification
Target Users: Day traders, swing traders, position traders, and institutional analysts seeking comprehensive market structure analysis.
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2. VWAP FOUNDATION & HISTORICAL CONTEXT
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Historical Development: VWAP started in the 1980s when big institutional traders needed a way to measure if they were getting good fills on their massive orders. Unlike regular price averages, VWAP weighs each price by the volume traded at that level. This makes it incredibly useful because it shows you where most of the real money changed hands.
Mathematical Foundation: The basic math is simple: you take each price, multiply it by the volume at that price, add them all up, then divide by total volume. What you get is the true "average" price that reflects actual trading activity, not just random price movements.
Formula: VWAP = Σ(Price × Volume) / Σ(Volume)
Where typical price = (High + Low + Close) / 3
Institutional Behavior Patterns:
- When price trades above VWAP, institutions often look to sell
- When it's below, they're usually buying
- Creates natural support and resistance that you can actually trade against
- Serves as benchmark for execution quality assessment
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3. MULTI-TIMEFRAME VWAP ANALYSIS
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Core Innovation: Here's where LOI gets interesting. Instead of just showing daily VWAP like most indicators, it displays four different timeframes simultaneously:
**Daily VWAP Implementation**:
- Resets every morning at market open
- Provides clearest picture of intraday institutional sentiment
- Primary tool for day trading strategies
- Most responsive to immediate market conditions
**Weekly VWAP System**:
- Resets each Monday (or first trading day)
- Smooths out daily noise and volatility
- Perfect for swing trades lasting several days to weeks
- Captures weekly institutional positioning
**Monthly VWAP Analysis**:
- Resets at beginning of each calendar month
- Captures bigger institutional rebalancing at month-end
- Fund managers often operate on monthly mandates
- Significant weight in intermediate-term analysis
**Yearly VWAP Perspective**:
- Resets annually for full-year institutional view
- Shows long-term institutional positioning
- Where pension funds and sovereign wealth funds operate
- Critical for major trend identification
Confluence Zone Theory: The magic happens when multiple VWAP levels cluster together. These confluence zones often become major turning points because different types of institutional money all see value at the same price.
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4. MOVING AVERAGE INTEGRATION SYSTEM
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Multi-Type Implementation: The indicator includes three types of moving averages, each with its own personality and application:
**Exponential Moving Averages (EMAs)**:
- React quickly to recent price changes
- Displayed as solid lines for easy identification
- Optimal performance in trending market conditions
- Higher sensitivity to current price action
**Simple Moving Averages (SMAs)**:
- Treat all historical data points equally
- Appear as dashed lines in visual display
- Slower response but more reliable in choppy conditions
- Traditional approach favored by institutional traders
**Hull Moving Averages (HMAs)**:
- Newest addition to the system (dotted line display)
- Created by Alan Hull in 2005
- Solves classic moving average dilemma: speed vs. accuracy
- Manages to be both responsive and smooth simultaneously
Technical Innovation: Alan Hull's solution addresses the fundamental problem where moving averages are either too slow (missing moves) or too fast (generating false signals). HMAs achieve optimal balance through weighted calculation methodology.
Period Configuration:
- 5-period: Short-term momentum assessment
- 50-period: Intermediate trend identification
- 200-period: Long-term directional confirmation
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5. TREND DIRECTION SIGNAL DETECTION
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Real-Time Momentum Analysis: One of LOI's best features is its real-time trend detection system. Next to each moving average, visual symbols provide immediate trend assessment:
Symbol System:
- ▲ Rising average (bullish momentum confirmation)
- ▼ Falling average (bearish momentum indication)
- ► Flat average (consolidation or indecision period)
Update Frequency: These signals update in real-time with each new price tick and function across all configured timeframes. Traders can quickly scan daily and weekly trends to assess alignment or conflicting signals.
Multi-Timeframe Trend Analysis:
- Simultaneous daily and weekly trend comparison
- Immediate identification of trend alignment
- Early warning system for potential reversals
- Momentum confirmation for entry decisions
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6. VISUAL DESIGN & DISPLAY FEATURES
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Color Psychology Framework: The color scheme isn't random but based on psychological associations and trading conventions:
- **Blue Tones**: Institutional neutrality (VWAP levels)
- **Green Spectrum**: Growth and stability (weekly timeframes)
- **Purple Range**: Longer-term sophistication (monthly analysis)
- **Orange Hues**: Importance and attention (yearly perspective)
- **Red Tones**: User-defined significance (custom levels)
Adaptive Display Technology: The indicator automatically adjusts decimal places based on the instrument you're trading. High-priced stocks show 2 decimals, while penny stocks might show 8. This keeps the display incredibly clean regardless of what you're analyzing - no cluttered charts or overwhelming information overload.
Smart Labeling System: Advanced positioning algorithm automatically spaces all elements to prevent overlap, even during extreme zoom levels or multiple timeframe analysis. Every level stays clearly readable without any visual chaos disrupting your analysis.
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7. CUSTOM LEVEL INTEGRATION
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User-Defined Level System: Beyond the calculated VWAP and moving average levels, traders can add custom horizontal lines at any price point for personalized analysis.
Strategic Applications:
- **Psychological Levels**: Round numbers, previous significant highs/lows
- **Technical Levels**: Fibonacci retracements, pivot points
- **Fundamental Targets**: Analyst price targets, earnings estimates
- **Risk Management**: Stop-loss and take-profit zones
Integration Features:
- Seamless incorporation with smart labeling system
- Custom color selection for visual organization
- Extension capabilities across all chart timeframes
- Maintains display clarity with existing indicators
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8. REPAINT PROTECTION TECHNOLOGY
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Critical Trading Feature: This addresses one of the most significant issues in live trading applications. Most multi-timeframe indicators "repaint," meaning they display different signals when viewing historical data versus real-time analysis.
Protection Benefits:
- Ensures every displayed signal could have been traded when it appeared
- Eliminates discrepancies between historical and live analysis
- Provides realistic performance expectations
- Maintains signal integrity across chart refreshes
Configuration Options:
- **Protection Enabled**: Default setting for live trading
- **Protection Disabled**: Available for backtesting analysis
- User-selectable toggle based on analysis requirements
- Applies to all multi-timeframe calculations
Implementation Note: With protection enabled, signals may appear one bar later than without protection, but this ensures all signals represent actionable opportunities that could have been executed in real-time market conditions.
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9. PRACTICAL TRADING APPLICATIONS
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**Day Trading Strategy**:
Focus on daily VWAP with 5-period moving averages. Look for bounces off VWAP or breaks through it with volume. Short-term momentum signals provide entry and exit timing.
**Swing Trading Approach**:
Weekly VWAP becomes your primary anchor point, with 50-period averages showing intermediate trends. Position sizing based on weekly VWAP distance.
**Position Trading Method**:
Monthly and yearly VWAP provide broad market context, while 200-period averages confirm long-term directional bias. Suitable for multi-week to multi-month holdings.
**Multi-Timeframe Confluence Strategy**:
The highest-probability setups occur when daily, weekly, and monthly VWAPs cluster together, especially when multiple moving averages confirm the same direction. These represent institutional consensus zones.
Risk Management Integration:
- VWAP levels serve as dynamic stop-loss references
- Multiple timeframe confirmation reduces false signals
- Institutional flow analysis improves position sizing decisions
- Trend direction signals optimize entry and exit timing
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10. SETUP & CONFIGURATION RECOMMENDATIONS
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Initial Configuration: Start with default settings and adjust based on individual trading style and market focus. Short-term traders should emphasize daily and weekly timeframes, while longer-term investors benefit from monthly and yearly level analysis.
Transparency Optimization: The transparency settings allow clear price action visibility while maintaining level reference points. Most traders find 70-80% transparency optimal - it provides a clean, unobstructed view of price movement while maintaining all critical reference levels needed for analysis.
Integration Strategy: Remember that no indicator functions effectively in isolation. LOI provides excellent context for institutional flow and trend direction analysis, but should be combined with complementary analysis tools for optimal results.
Performance Considerations:
- Multiple timeframe calculations may impact chart loading speed
- Adjust displayed timeframes based on trading frequency
- Customize color schemes for different market sessions
- Regular review and adjustment of custom levels
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FINAL ANALYSIS
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Competitive Advantage: What makes LOI different is its focus on where real money actually trades. By combining volume-weighted calculations with multiple timeframes and trend detection, it cuts through market noise to show you what institutions are really doing.
Key Success Factor: Understanding that different timeframes serve different purposes is essential. Use them together to build a complete picture of market structure, then execute trades accordingly.
The integration of institutional flow analysis with technical trend detection creates a comprehensive trading tool that addresses both short-term tactical decisions and longer-term strategic positioning.
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END OF DOCUMENTATION
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Patrick BTC Exponential ModelA test of an exp reversion model, WIP
BTC(t) = a × e^(r × t)
Where:
- BTC(t) = Bitcoin price at time t
- a = Anchor coefficient (fitted parameter)
- r = Growth rate per year (fitted parameter)
- t = Years since anchor date
- e = Euler's number (2.71828...)
Credit to @GallantCryptoYT (but based on, no implication of endorsement either way)
🔥 Volatility Squeeze Breakout Strategy (TP/SL in Points)This strategy is designed to catch explosive breakout moves from low-volatility consolidations using a "volatility squeeze" + breakout + momentum" approach. It identifies high-probability buy opportunities when the market is in a tight range and preparing for expansion.
✅ Entry Condition:
- Previous candle is in a squeeze
- Current candle breaks above channel high
- Momentum is positive (ROC)
🎯 Exit Conditions:
- Take Profit in fixed points above entry price
- Stop Loss in fixed points below entry price
🧰 Inputs:
- ATR Length for volatility
- Channel Length for breakout levels
- ROC Length for momentum
- Squeeze threshold (ATR/close)
- TP/SL in absolute price points
📊 Plots:
- Buy signals shown as green triangles
- Channel high/low plotted
- TP/SL levels shown as live lines when in position
Suitable for intraday breakout scalping or directional trades
when price expands from compression zones.
Choppiness ZONE OverlayPurpose
This script overlays choppiness zones directly onto the price chart to help traders identify whether the market is trending or ranging. It is designed to filter out low-probability trades during high choppiness conditions.
How It Works
Calculates the Choppiness Index over a user-defined period using ATR and price range.
Divides choppiness into four zones:
30 to 40: Low choppiness, possible trend initiation, shown in yellow.
40 to 50: Moderate choppiness, transition zone, shown in orange.
50 to 60: High choppiness, weakening momentum, shown in red.
60 and above: Extreme choppiness, avoid trading, shown in purple.
Highlights each zone with customizable color fills between the high and low of the selected range.
Triggers a real-time alert when choppiness exceeds 60.
Features
Customizable choppiness zones and color settings.
Real-time alert when market becomes extremely choppy (choppiness ≥ 60).
Visual zone overlay on the price chart.
Compatible with all timeframes.
Lightweight and responsive for scalping, intraday, or swing trading.
Tip
Use this tool as a volatility or trend filter. Combine it with momentum or trend-following indicators to improve trade selection.
Futures vs CFD Price Display
🎯 Trading the same asset in CFDs and Futures but tired of switching charts to compare prices? This is your indicator!
Stop the constant chart hopping! This live price comparison shows you instantly where the better conditions are.
✨ What you get:
Bidirectional: Works in both Futures AND CFD charts
Live prices: Real-time comparison of both markets
Spread calculation: Automatic difference in points and percentage
Fully customizable: Colors, position, size to your liking
Professional design: Clean display with symbol header
🎯 Perfect for:
Gold traders (Futures vs CFD)
Arbitrage strategies
Spread monitoring
Multi-broker comparisons
⚙️ Customization:
3 sizes (Small/Normal/Large) for all screens
4 positions available
Individual color schemes
Toggle features on/off
💡 Simply enter the symbol and keep both markets in sight!
Notice: "Co-developed with Claude AI (Anthropic) - because even AI needs to pay the server bills! 😄"
Volume Point of Control with Fib Based Profile🍀Description:
This indicator is a comprehensive volume profile analysis tool designed to identify key price levels based on trading activity within user-defined timeframes. It plots the Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL), along with dynamically calculated Fibonacci levels derived from the developing period's range. It offers extensive customization for both historical and developing levels.
🍀Core Features:
Volume Profiling (POC, VAH, VAL):
Calculates and plots the POC (price level with the highest volume), VAH, and VAL for a selected timeframe (e.g., Daily, Weekly).
The Value Area percentage is configurable. 70% is common on normal volume profiles, but this script allows you to configure multiple % levels via the fib levels. I recommend using 2 versions of this indicator on a chart, one has Value Area at 1 (100% - high and low of lookback) and the second is a specified VA area (i.e. 70%) like in the chart snapshot above. See examples at the bottom.
Historical Levels:
Plots POC, VAH, and VAL from previous completed periods.
Optionally displays only "Unbroken" levels – historical levels that price has not yet revisited, which can act as stronger magnets or resistance/support.
The user can manage the number of historical lines displayed to prevent chart clutter.
Developing Levels:
Shows the POC, VAH, and VAL as they form in real-time during the current, incomplete period. This provides insight into intraday/intra-period value migration.
Dynamic Fibonacci Levels:
Calculates and plots Fibonacci retracement/extension levels based dynamically on the range between the developing POC and the developing VAH/VAL.
Offers 8 configurable % levels above and below POC that can be toggled on/off.
Visual Customization:
Extensive options for colors, line styles, and widths for all plotted levels.
Optional gradient fill for the Value Area that visualizes current price distance from POC - option to invert the colors as well.
Labels for developing levels and Fibonacci levels for easy identification.
🍀Characteristics:
Volume-Driven: Levels are derived from actual trading volume, reflecting areas of high participation and price agreement/disagreement.
Timeframe Specific: The results are entirely dependent on the chosen profile timeframe.
Dynamic & Static Elements: Developing levels and Fibs update live, while historical levels remain fixed once their period closes.
Lagging (Historical) & Potentially Leading: Historical levels are based on the past, but are often respected by future price action. Developing levels show current dynamics.
🍀How to Use It:
Identifying Support & Resistance: Historical and developing POCs, VAHs, and VALs are often key areas where price may react. Unbroken levels are particularly noteworthy.
Market Context & Sentiment: Trading above the POC suggests bullish strength/acceptance of higher prices, while trading below suggests bearishness/acceptance of lower prices.
Entry/Exit Zones: Interactions with these levels (rejections, breakouts, tests) can provide potential entry or exit signals, especially when confirming with other analysis methods.
Dynamic Targets: The Fibonacci levels calculated from the developing POC-VA range offer potential intraday/intra-period price targets or areas of interest.
Understanding Value Migration: Observing the movement of the developing POC/VAH/VAL throughout the period reveals where value is currently being established.
🍀Potential Drawbacks:
Input Sensitivity: The choice of timeframe, Value Area percentage, and volume resolution heavily influences the generated levels. Experimentation is needed for optimal settings per instrument/market. (I've found that Range Charts can provide very accurate volume levels on TV since the time element is removed. This helps to refine the accuracy of price levels with high volume.)
Volume Data Dependency: Requires accurate volume data. May be less reliable on instruments with sparse or questionable volume reporting.
Chart Clutter: Enabling all features simultaneously can make the chart busy. Utilize the line management inputs and toggle features as needed.
Not a Standalone Strategy: This indicator provides context and key levels. It should be used alongside other technical analysis tools and price action reading for robust decision-making.
Developing Level Fluctuation: Developing POC/VA/Fib levels can shift considerably, especially early in a new period, before settling down as more volume accumulates and time passes.
🍀Recommendations/Examples:
I recommend have this indicator on your chart twice, one has the VA set at 1 (100%) and has the fib levels plotted. The second has the VA set to 0.7 (70%) to highlight the defined VA.
Here is an example with 3 on a chart. VA of 100%, VA of 80%, and VA of 20%
Inside DayOnly uses completed bars (high , low ) — ignores today's intraday bar.
Plots only after market close, not during the current session.
Designed for end-of-day screeners and alerts, reliable for after-hours analysis.
🦌 Horn Pattern - Horn + FT - Ming Joo太棒了!以下是你策略的中英文简介版本,专为 **TradingView 发布页面** 编写,突出你当前唯一的 context filter(基于 EMA20)。
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## 🇬🇧 English Description — Horn Pattern Strategy with EMA Context Filter
**🦌 Horn Pattern Reversal Strategy (By Ming Joo)**
This strategy is based on a 3-bar reversal pattern known as the **Horn Pattern** (bull-bear-bull for longs, bear-bull-bear for shorts). A confirmation bar (bar\ ) follows the pattern to validate a breakout.
🔍 **Context Filter:**
To ensure high-quality trades, a simple trend filter is applied using EMA(20):
* ✅ **Bullish Horn** signals are valid **only if** the confirmation bar closes **above EMA20**
* ✅ **Bearish Horn** signals are valid **only if** the confirmation bar closes **below EMA20**
This prevents taking counter-trend reversals in weak conditions.
🎯 Entry Logic:
* Long entry: Horn high + 1 tick
* Short entry: Horn low – 1 tick
* Target: 1R
* Stop: Structural extreme (low/high of the horn)
* Optionally shows 0.5R line
This structure-based reversal model is suitable for 5min–1H timeframes, and works best on volatile instruments (e.g. ES1!, NQ1!, BTCUSD, AAPL).
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## 🇨🇳 中文简介 — Horn 结构反转策略(含 EMA 趋势滤网)
**🦌 Horn 反转策略(By Ming Joo)**
本策略基于经典的 **Horn 形态**(多头为 bull-bear-bull,空头为 bear-bull-bear),由三根结构K线 + 一根确认K线构成,搭配 **EMA20 趋势过滤器** 筛选优质信号。
🔍 **上下文过滤条件(唯一 context filter):**
* ✅ **Bullish Horn** 仅在确认K线的收盘 **高于 EMA20** 时触发
* ✅ **Bearish Horn** 仅在确认K线的收盘 **低于 EMA20** 时触发
防止在弱趋势中逆势进场,提升成功率。
🎯 入场逻辑:
* 多头:Horn 高点 +1 tick 挂多
* 空头:Horn 低点 –1 tick 挂空
* 止盈:1R
* 止损:Horn 的结构极点
* 可选显示 0.5R 虚线
适合用于 5分钟至 1小时图表,特别适用于高波动性品种(如 ES1!, NQ1!, BTCUSD, AAPL 等)。
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Smart Money Index (SMI) EnhancedSmart Money Index (SMI) Enhanced is an indicator that visualizes the behavior of "smart money" based on intraday price movements.
📌 Based on Don Hays’ classic formula:
SMI = Yesterday’s value – Morning movement + Late-day movement
🔍 Key Features:
Highlighted buy/sell zones for accumulation and distribution;
Alerts for crossovers between SMI and its moving average;
Supports multiple timeframes (hourly, daily, weekly).
✅ Useful for identifying institutional sentiment and potential market reversal points.
ℹ️ Works with stocks, indices, and cryptocurrencies.
This script is for educational purposes only and not financial advice.