Top Right Watermark# TopRight Watermark
**Finally, a watermark that stays out of your way!**
Tired of TradingView's default watermark blocking your price action and technical analysis? This customizable watermark indicator gives you complete control over positioning and content display.
## 🎯 Key Features
**✅ Flexible Positioning** - Place anywhere: corners, sides, or edges
**✅ Multi-Slot Display** - Up to 3 customizable information slots
**✅ Individual Font Control** - Different sizes for each slot
**✅ Platform Compatibility** - TradingView OR MetaTrader timeframe formats
**✅ Clean & Professional** - Customizable colors and transparency
## 🔧 What You Can Display
- **Timeframe** - Current chart period
- **Ticker** - Symbol name (smart formatting for crypto/forex)
- **Exchange** - Broker/platform name
- **Custom Text** - Your own message
- **Empty** - Hide unused slots
## 🎨 Customization Options
- **Position**: 9 placement options (top/middle/bottom + left/center/right)
- **Colors**: Full color picker with transparency control
- **Font Sizes**: 5 sizes available per slot (tiny to huge)
- **Timeframe Style**: Choose TradingView (1m, 4H) or MetaTrader (M1, H4) format
## 🚀 Perfect For
- Traders who need clean chart visibility
- Multi-timeframe analysis
- Professional chart screenshots
- Platform migrants (MT4/MT5 to TradingView)
- Anyone wanting organized chart information
## 💡 Pro Tips
- Place in corners to avoid price action interference
- Combine Exchange + Ticker + Timeframe for complete context
- Use transparency to make it subtle but visible
**Stop letting watermarks interfere with your trading analysis. Take control of your chart display today!**
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*Compatible with all TradingView chart types and timeframes. Easy setup with intuitive controls.*
Chart patterns
Watermark by HAZEDEnhanced Watermark - Clean Chart Labeling
A professional watermark indicator for traders who want clean, customizable chart identification.
Features:
- Show/hide: Exchange prefix, timeframe, price change %, volume
- 9 positioning options - place anywhere on your chart
- Custom text styling - normal or spaced text modes
- Full color control - including transparency settings
- Size customization - independent sizing for each element
- Personal signature - add your trading brand
- Custom symbols - personalize arrows and indicators
Perfect for:
Content creators, educational posts, professional setups, and social media sharing.
Easy to use: Works immediately with smart defaults. Fully customizable to match your style.
Clean charts, professional presentation.
Mariam Smart FlipPurpose
This tool identifies high-probability intraday reversals by detecting when price flips through the daily open after strong early-session commitment.
How It Works
A valid flip occurs when:
The previous daily candle is bullish or bearish
The first hour today continues in the same direction
Then, the price flips back through the daily open with a minimum break threshold (user-defined)
This setup is designed to catch liquidity grabs or fakeouts near the daily open, where early buyers or sellers get trapped after showing commitment
Signal Logic
Buy Flip
Previous day bearish → first hour bearish → price flips above open
Sell Flip
Previous day bullish → first hour bullish → price flips below open
Features
Configurable flip threshold in percentage
Signals only activate after the first hour ends
Daily open line displayed on chart
Simple triangle markers with no visual clutter
Alerts ready to use for automation or notifications
Usage Tips
Use "Once Per Bar" alert mode to get notified immediately when the flip happens
Works best in active markets like FX, indices, or crypto
Adjust threshold based on asset volatility
Suggested stop loss: use the previous daily high for sell flips or the previous daily low for buy flips
Suggested take profit: secure at least 30 pips to aim for a 1:3 risk-to-reward ratio on average
Path of Least ResistancePath of Least Resistance (PLR)
Concept Overview
The Path of Least Resistance indicator identifies key zones on your chart that act like "muddy" or "sticky" areas where price tends to get bogged down, creating choppy and unpredictable price action. Between these zones lie the "empty spaces" - clear paths where price can move freely with momentum and direction.
The Analogy: Muddy Fields vs Open Roads
Think of your chart like a landscape:
🟫 ZONES (Muddy/Sticky Areas)
Fair Value Gaps (FVGs) from higher timeframes
Pivot wick zones from higher timeframe pivots
Areas where price gets "stuck" and churns
Like walking through thick mud - slow, choppy, unpredictable movement
Price action becomes erratic and difficult to trade
🟢 EMPTY SPACES (Open Roads)
The clear areas between zones
Where price can move freely with momentum
Like driving on an open highway - smooth, directional movement
The "Path of Least Resistance" for price movement
Trading Philosophy
AVOID Trading Within Zones:
Price action is typically choppy and unpredictable
Higher probability of false signals and whipsaws
Like trying to drive through mud - you'll get stuck
TRADE Through the Empty Spaces:
Look for moves that travel between zones
Price tends to move with momentum and direction
Higher probability setups with cleaner price action
Like taking the highway instead of back roads
Zone Types Detected
Fair Value Gaps (FVGs)
Imbalances from higher timeframe candles
Areas where price "owes" a return visit
Often act as magnets, creating choppy price action
Pivot Wick Zones
Upper and lower wicks from higher timeframe pivots
Rejection areas where price previously struggled
Often create resistance/support that leads to choppy movement
Color Coding System
The zones dynamically change color based on current price position:
🔴 RED ZONES : Price is below the zone (bearish context)
🟢 GREEN ZONES : Price is above the zone (bullish context)
🔘 GRAY ZONES : Price is within the zone (neutral/choppy area)
The "Mum Trades" Strategy
The best trades - what we call "Mum trades" (trades so obvious even your mum could spot them) - happen in the empty spaces between zones:
✅ High Probability Characteristics:
Clear directional movement between zones
Less noise and false signals
Higher momentum and follow-through
Cleaner technical patterns
❌ Avoid These Areas:
Trading within the muddy zones
Expecting clean moves through sticky areas
Fighting against the natural flow of price
Key Features
Auto Timeframe Detection : Automatically selects appropriate higher timeframe
Dynamic Zone Management : Overlapping zones are automatically cleaned up
Real-time Alerts : Get notified when price enters/exits zones
Visual Clarity : Clean zone display with extending boundaries
How to Use
Identify the Zones : Let the indicator mark the muddy areas
Find the Paths : Look for clear spaces between zones
Plan Your Trades : Target moves that travel through empty space
Avoid the Mud : Stay away from trading within the zones
Follow the Flow : Trade with the path of least resistance
Remember
Price, like water, always seeks the path of least resistance. By identifying where that path is clear (empty spaces) versus where it's obstructed (zones), you can align your trading with the natural flow of the market rather than fighting against it.
The goal is simple: Trade the highways, avoid the mud.
SOT & SA Detector ProSOT & SA Detector Pro- Advanced Reversal Pattern Recognition
OVERVIEW
The SOT & SA Detector is an educational indicator designed to identify potential market reversal points through systematic analysis of candlestick patterns, volume confirmation, and price wave structures. SOT (Shorting of Thrust) signals suggest potential bearish reversals after upward price movements, while SA (Selling Accumulation) signals indicate possible bullish reversals following downward trends. This tool helps traders recognize key market transition points by combining multiple technical criteria for enhanced signal reliability.
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HOW IT WORKS
Technical Methodology
The indicator employs a multi-factor analysis approach that evaluates:
Wave Structure Analysis: Identifies minimum 2-bar directional waves (upward for SOT, downward for SA)
Price Delta Validation: Ensures closing price changes remain within specified percentage thresholds (default 0.3%) best 0.1.
Candlestick Tail Analysis: Measures rejection wicks using configurable tail multipliers
Volume Confirmation: Requires increased volume compared to previous periods
Pattern Confirmation: Validates signals through subsequent price action
Signal Generation Process
Pattern Recognition: Scans for qualifying candlestick formations with appropriate tail characteristics
Volume Verification: Confirms patterns with volume expansion using adjustable multiplier
Price Confirmation: Validates signals when price breaks and closes beyond pattern extremes
Signal Display: Places labeled markers and draws horizontal reference levels
Mathematical Foundation
Delta calculation: math.abs(close - close ) / close <= deltaPercent / 100
Tail analysis: (high - close ) >= tailMultiplier * (close - low ) for SOT
Volume filter: volume >= volume * volumeFactor
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KEY FEATURES
Dual Pattern Recognition: Identifies both bullish (SA) and bearish (SOT) reversal candidates
Volume Integration: Incorporates volume analysis for enhanced signal validation
Customizable Parameters: Adjustable wave length, delta percentage, tail multiplier, and volume factor
Visual Clarity: Color-coded bar highlighting, labeled signals, and horizontal reference levels
Time-Based Filtering: Configurable analysis period to focus on recent market activity
Non-Repainting Signals: Confirmed signals remain stable and do not change with new price data
Alert System: Built-in notifications for both initial signals and subsequent confirmations
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HOW TO USE
Signal Interpretation
Red SOT Labels: Appear above potential bearish reversal candles with downward-pointing markers
Green SA Labels: Display below potential bullish reversal candles with upward-pointing markers
Horizontal Lines: Extend from signal levels to provide ongoing reference points
Bar Coloring: Highlights qualifying pattern candles for visual emphasis
Trading Application
This indicator serves as an educational tool for pattern recognition and should be used in conjunction with additional analysis methods. Consider SOT signals as potential areas of selling pressure following upward moves, while SA signals may indicate buying interest after downward price action.
Best Practices
Combine with trend analysis and support/resistance levels
Consider overall market context and timeframe alignment
Use proper risk management techniques
Validate signals with additional technical indicators
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SETTINGS
Analysis Days (Default: 20)
Controls the lookback period for signal detection. Higher values extend historical analysis while lower values focus on recent activity.
Minimum Bars in Wave (Default: 2)
Sets the minimum consecutive bars required to establish directional wave patterns. Increase for stronger trend confirmation.
Max Close Change % (Default: 0.3) best 0.1.
Defines acceptable closing price variation between consecutive bars. Lower values require tighter price consolidation.
Tail Multiplier (Default: 1.0) best 1.5 or more.
Adjusts sensitivity for candlestick tail analysis. Higher values require more pronounced rejection wicks.
Volume Factor (Default: 1.0)
Sets volume expansion threshold compared to previous period. Values above 1.0 require volume increases.
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LIMITATIONS
Market Conditions
May produce false signals in highly volatile or low-volume conditions
Effectiveness varies across different market environments and timeframes
Requires sufficient volume data for optimal performance
Signal Timing
Signals appear after pattern completion, not in real-time during formation
Confirmation signals depend on subsequent price action
Historical signals do not guarantee future market behavior
Technical Constraints
Limited to analyzing price and volume data only
Does not incorporate fundamental analysis or external market factors
Performance may vary significantly across different trading instruments
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IMPORTANT DISCLAIMERS
This indicator is designed for educational purposes and technical analysis learning. It does not constitute financial advice, investment recommendations, or trading signals. Past performance does not guarantee future results. Trading involves substantial risk of loss, and this tool should be used alongside proper risk management techniques and additional analysis methods.
Always conduct thorough analysis using multiple indicators and consider market context before making trading decisions. The SOT & SA patterns represent potential reversal points but do not guarantee price direction changes.
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Credits: Original concept and Pine Script implementation by Everyday_Trader_X
Version: Pine Script v6 compatible
Category: Technical Analysis / Reversal Detection
Overlay: Yes (displays on price chart)
ATR % Line from Day LowHow can you make sure that you're not buying a stock that is too extended?
By limiting your buys to within a certain percentage of either the low-of-the-day (LoD) if you're going long, or to the high-of-the-day (HoD) if you're shorting a stock. This script will help you do just that.
Limiting stock purchases to within a certain percentage of the Average True Range (ATR) from the day's low or high is a risk management technique that offers several key benefits:
Risk Control and Position Sizing
By using ATR as a boundary, you're essentially creating a volatility-adjusted buffer. Since ATR measures recent price volatility, this approach prevents you from buying into stocks that have already moved significantly beyond their normal trading range. This helps avoid entering positions when the stock might be overextended and due for a pullback.
Improved Entry Timing
This strategy encourages patience and discipline. Rather than chasing a stock that's already run up substantially from its low, you wait for better entry points. For example, if you set a limit of 50% of ATR from the day's low, you're only buying when the stock hasn't moved more than half its typical daily range from the bottom.
Volatility Awareness
ATR naturally adjusts for each stock's individual volatility characteristics. A high-volatility stock might have an ATR of $2, while a low-volatility stock might have an ATR of $0.50. This approach scales your entry criteria appropriately for each security rather than using arbitrary dollar amounts.
Reduced Emotional Trading
Having a systematic rule removes the temptation to chase momentum or buy at poor technical levels. It forces you to wait for the stock to come back to more reasonable levels relative to its recent trading behavior.
Better Risk-Reward Ratios
By entering closer to the day's low (within your ATR percentage), you're typically getting a better risk-reward setup. Your stop loss (often placed below the day's low) will be tighter, while your potential upside remains intact.
This approach works particularly well for swing traders and those looking to enter positions on pullbacks or during consolidation periods rather than breakout scenarios.
To save valuable real estate on your chart, there's also an option that can give you a compact version of this indicator which will show only the "Current Day's Low/High" and "Target Price". "Target Price" being the price at which your max buy limit is based on the % ATR you choose in settings.
Trend TraderDescription and Usage of the "Trend Trader" Indicator
The "Trend Trader" indicator, created by Gerardo Mercado as a legacy project, is a versatile trading tool designed to identify potential buy and sell signals across various instruments. While it provides predefined settings for popular instruments like US30, NDX100, GER40, and GOLD, it can be seamlessly adapted to any market, including forex pairs like EUR/USD. The indicator combines moving averages, time-based filters, and MACD confirmation to enhance decision-making for traders.
How It Works
Custom Moving Averages (MAs):
The indicator uses two moving averages:
Short MA: A faster-moving average (default: 10 periods).
Long MA: A slower-moving average (default: 100 periods).
Buy signals are generated when the Short MA crosses above the Long MA.
Sell signals are triggered when the Short MA crosses below the Long MA.
Time-Based Signals:
The user can define specific trading session times (start and end in UTC) to focus on high-activity periods for their chosen market.
Signals and background coloring are only active during the allowed session times.
MACD Confirmation:
A MACD (Moving Average Convergence Divergence) calculation on a 15-minute timeframe ensures stronger confirmation for signals.
Buy signals require the MACD line to be above the signal line.
Sell signals require the MACD line to be at or below the signal line.
Target Levels:
Predefined profit targets are dynamically set based on the selected trading instrument.
While it includes settings for US30, NDX100, GER40, and GOLD, the target levels can be adjusted to fit the volatility and structure of any asset, including forex pairs like EUR/USD.
Target 1 and Target 2 levels display when these thresholds are met after an entry signal.
Adaptability to Any Market:
Although predefined options are included for specific instruments, the indicator's moving averages, time settings, and MACD logic are applicable to any tradable asset, making it suitable for forex, commodities, indices, and more.
Visual Alerts:
Labels appear on the chart to highlight "BUY" and "SELL" signals at crossover points.
Additional labels indicate when price movements reach the predefined target levels.
Bar and background coloring visually represent active signals and MACD alignment.
Purpose
The indicator aims to simplify trend-following and momentum-based trading strategies. By integrating moving averages, MACD, customizable time sessions, and dynamic targets, it offers clear entry and exit points while being adaptable to the needs of individual traders across diverse markets.
How to Use
Setup:
Add the indicator to your TradingView chart.
Configure the moving average periods, trading session times, and target levels according to your preferences.
Select the instrument for predefined target settings or customize them to fit the asset you’re trading (e.g., EUR/USD or other forex pairs).
Interpreting Signals:
Buy Signal: The Short MA crosses above the Long MA, MACD confirms the upward trend, and the session is active.
Sell Signal: The Short MA crosses below the Long MA, MACD confirms the downward trend, and the session is active.
Adapt for Any Instrument:
Adjust the predefined target levels to match the volatility and trading style for your chosen asset.
For forex pairs like EUR/USD, consider typical pip movements to set appropriate profit targets.
Targets:
Use the provided target labels (e.g., 50 or 100 points) or customize them to reflect realistic profit goals based on the asset’s volatility.
Visual Aids:
Pay attention to the background color:
Greenish: Indicates a bullish trend during the allowed session.
Redish: Indicates a bearish trend during the allowed session.
Use the "BUY" and "SELL" labels for actionable insights.
This indicator is a flexible and powerful tool, suitable for traders across all markets. Its adaptability ensures that it can enhance your strategy, whether you’re trading forex, commodities, indices, or other assets. By offering actionable alerts and customizable settings, the "Trend Trader" serves as a valuable addition to any trader’s toolkit. FX:EURUSD
Killzones [Plug&Play]Highlight the most important institutional trading hours with precision.
The Setup Agent Killzones indicator automatically plots vertical lines to mark the key “Killzone” windows each day — London (08:00–09:00) and New York (15:00–16:00), shown in UK time. These timeframes represent periods of high volatility, where smart money activity is most likely to create the day’s major moves.
How it works:
Instantly visualise the London and New York Killzones with subtle vertical lines.
Customise which sessions to show to fit your trading style.
Stay focused on the windows where market makers are most active.
Perfect for intraday traders and anyone using session-based strategies.
Combine with our session indicator for a complete Plug&Play edge.
Faster Heikin AshiFaster Heikin Ashi
The Faster Heikin Ashi improves traditional Heikin Ashi candles by introducing advanced weighting mechanisms and lag reduction techniques. While maintaining the price smoothing benefits of standard Heikin Ashi, this enhanced version delivers faster signals and responsiveness.
Key Features
Unified Responsiveness Control
Single parameter (0.1 - 1.0) controls all responsiveness aspects
Eliminates conflicting settings found in other enhanced HA indicators
Intuitive scaling from conservative (0.1) to highly responsive (1.0)
Advanced Weighted Calculations
Smart Close Weighting: Close prices receive 2-3x more influence for faster trend detection
Dynamic OHLC Processing: All price components are intelligently weighted based on responsiveness setting
Balanced High/Low Emphasis: Maintains price level accuracy while improving speed
Enhanced Open Calculation
Transition Speed: Open prices "catch up" to market movements faster
Lag Reduction Algorithm: Eliminates the typical delay in Heikin Ashi open calculations
Smooth Integration: Maintains visual continuity while improving responsiveness
Four-Color Scheme
- 🟢 **Lime**: Strong bullish momentum
- 🔴 **Red**: Strong bearish momentum
- 🟢 **Green**: Moderate bullish
- 🔴 **Maroon**: Moderate bearish
How It Works
Traditional Heikin Ashi smooths price action but often lags behind real market movements. This enhanced version:
1. Weights price components based on their predictive value
2. Accelerates trend transitions through advanced open calculations
3. Scales all enhancements through a single responsiveness parameter
4. Maintains smoothing benefits while reducing lag
Responsiveness (0.1 - 1.0)
0.1 - 0.3: Conservative, maximum smoothing
0.4 - 0.6: Balanced, good for swing trading and trend following
0.7 - 1.0: Aggressive, fast signals, suitable for scalping and active trading
Setup Score OscillatorSetup Score Oscillator – Full Description
🎯 Purpose of the Script
This script is a manual trading setup scoring tool, designed to help traders quantify the quality of a trade setup by combining multiple technical, cyclical, and contextual signals.
Instead of relying on a single indicator, the trader manually selects which signals are present, and the script calculates a total score (0–100%), displayed as an oscillator in a separate panel (like RSI or MACD).
🔧 How it works in practice
1. Manual signal inputs
The script presents a set of checkboxes in the settings, where the trader can enable/disable the following signals:
✅ Confirmed Support/Resistance
✅ Aligned Volume Profile
✅ Favorable Cyclic Timing
✅ Valid Trend Line
✅ Aligned Cyclical Moving Averages
✅ Relevant Fibonacci Level
✅ Classic Volume Signal (spike, dry-up, etc.)
✅ Oscillator confirmation (e.g., divergences)
✅ Extreme Sentiment
✅ Relevant or incoming News
Each selected signal contributes to the total score based on its weight.
2. Scoring system
Each signal has a default weight (e.g., 20% for support/resistance, 15% for cycles, etc.).
Optionally, the trader can enable the “custom weights” checkbox and adjust each signal’s weight directly in the settings.
3. Score visualization
The final score (sum of all active weights) is plotted as an oscillator ranging from 0 to 100%, with dynamic coloring:
Range Color Meaning
0–39% Red No valid setup
40–54% Yellow Watchlist only
55–69% Orange Good setup
70–100% Green Strong setup
Several horizontal threshold lines are displayed:
50% → neutral threshold
40%, 55%, 70% → operational levels
4. Optional background coloring
When the score exceeds 55% or 70%, the oscillator background lightly changes color to highlight stronger setups (non-intrusive).
📌 Practical benefits
Objectifies subjective analysis: each decision becomes a number.
Prevents overtrading: no entries if the score is too low.
Adaptable to any trading style: swing, intraday, positional.
User-friendly: no coding needed – just tick boxes.
Italiano:
Setup Score Oscillator – Descrizione completa
🎯 Obiettivo dello script
Lo script è uno strumento manuale di valutazione dei setup di trading, pensato per aiutare il trader a quantificare la qualità di un'opportunità operativa basandosi su più segnali tecnici, ciclici e contestuali.
Invece di affidarsi a un solo indicatore, il trader seleziona manualmente quali segnali sono presenti, e lo script calcola un punteggio complessivo percentuale (0–100%), rappresentato come oscillatore in una finestra separata (tipo RSI, MACD, ecc.).
🔧 Come funziona operativamente
1. Input manuale dei segnali
Lo script mostra una serie di checkbox nelle impostazioni, dove il trader può attivare o disattivare i seguenti segnali:
✅ Supporto/Resistenza confermata
✅ Volume Profile allineato
✅ Cicli o timing favorevole
✅ Trend line valida
✅ Medie mobili cicliche allineate
✅ Livello di Fibonacci rilevante
✅ Volume classico significativo (spike, dry-up)
✅ Conferme da oscillatori (es. divergenze)
✅ Sentiment estremo (es. euforia o panico)
✅ News importanti imminenti o appena uscite
Ogni casella attiva contribuisce al punteggio totale, con un peso specifico.
2. Sistema di punteggio
Ogni segnale ha un peso predefinito (es. 20% per supporti/resistenze, 15% per cicli, ecc.).
Facoltativamente, il trader può attivare la funzione “Enable custom weights” per personalizzare i pesi di ciascun segnale direttamente da input.
3. Visualizzazione del punteggio
Il punteggio complessivo (somma dei pesi attivati) viene tracciato come oscillatore da 0 a 100%, con colori dinamici:
Range Colore Significato
0–39% Rosso Nessun setup valido
40–54% Giallo Osservazione
55–69% Arancione Setup buono
70–1005 Verde Setup forte
Sono tracciate anche delle linee guida orizzontali a:
50% → soglia neutra
40%, 55%, 70% → soglie operative
4. Colorazione dello sfondo (facoltativa)
Quando il punteggio supera 55% o 70%, lo sfondo dell’oscillatore cambia leggermente colore per evidenziare il segnale (non invasivo).
📌 Vantaggi pratici
Oggettivizza l’analisi soggettiva: ogni decisione manuale si trasforma in un numero.
Evita overtrading: se il punteggio è troppo basso, non si entra.
Adattabile a ogni stile: swing, intraday, position.
Facile da usare anche senza codice: basta spuntare le caselle.
Market Balance LevelMarket Balance Level (MBL)
This indicator dynamically identifies price consolidation zones (market balance levels) and plots a horizontal line at the average midpoint of the range once a valid breakout occurs. It helps traders visualize key zones where the market was previously in equilibrium and is likely to retest before continuing its trend.
How It Works:
Detects consolidation ranges using consecutive candles within a tight high-low structure.
When a breakout occurs (above or below the range), it plots a line at the average midpoint of the consolidation.
Triangles are drawn on breakouts to visually confirm the breakout direction.
Lines can be customized by color, width, and breakout direction (bullish, bearish, or both).
Recommended Use:
Wait for price to return to the Market Balance Level (MBL). These levels often act as strong support or resistance.
Enter upon engulfment (candle closes strongly in the direction of the breakout), confirming continuation.
Features:
Adjustable consolidation sensitivity and line length.
Option to show/hide bullish or bearish MBLs.
Visual breakout markers (triangles) with alert support.
Optional alert messages for breakout events.
Use this tool to enhance your structure-based or SMC-style trading strategies.
Volatility Quality [Alpha Extract]The Alpha-Extract Volatility Quality (AVQ) Indicator provides traders with deep insights into market volatility by measuring the directional strength of price movements. This sophisticated momentum-based tool helps identify overbought and oversold conditions, offering actionable buy and sell signals based on volatility trends and standard deviation bands.
🔶 CALCULATION
The indicator processes volatility quality data through a series of analytical steps:
Bar Range Calculation: Measures true range (TR) to capture price volatility.
Directional Weighting: Applies directional bias (positive for bullish candles, negative for bearish) to the true range.
VQI Computation: Uses an exponential moving average (EMA) of weighted volatility to derive the Volatility Quality Index (VQI).
vqiRaw = ta.ema(weightedVol, vqiLen)
Smoothing: Applies an additional EMA to smooth the VQI for clearer signals.
Normalization: Optionally normalizes VQI to a -100/+100 scale based on historical highs and lows.
Standard Deviation Bands: Calculates three upper and lower bands using standard deviation multipliers for volatility thresholds.
vqiStdev = ta.stdev(vqiSmoothed, vqiLen)
upperBand1 = vqiSmoothed + (vqiStdev * stdevMultiplier1)
upperBand2 = vqiSmoothed + (vqiStdev * stdevMultiplier2)
upperBand3 = vqiSmoothed + (vqiStdev * stdevMultiplier3)
lowerBand1 = vqiSmoothed - (vqiStdev * stdevMultiplier1)
lowerBand2 = vqiSmoothed - (vqiStdev * stdevMultiplier2)
lowerBand3 = vqiSmoothed - (vqiStdev * stdevMultiplier3)
Signal Generation: Produces overbought/oversold signals when VQI reaches extreme levels (±200 in normalized mode).
Formula:
Bar Range = True Range (TR)
Weighted Volatility = Bar Range × (Close > Open ? 1 : Close < Open ? -1 : 0)
VQI Raw = EMA(Weighted Volatility, VQI Length)
VQI Smoothed = EMA(VQI Raw, Smoothing Length)
VQI Normalized = ((VQI Smoothed - Lowest VQI) / (Highest VQI - Lowest VQI) - 0.5) × 200
Upper Band N = VQI Smoothed + (StdDev(VQI Smoothed, VQI Length) × Multiplier N)
Lower Band N = VQI Smoothed - (StdDev(VQI Smoothed, VQI Length) × Multiplier N)
🔶 DETAILS
Visual Features:
VQI Plot: Displays VQI as a line or histogram (lime for positive, red for negative).
Standard Deviation Bands: Plots three upper and lower bands (teal for upper, grayscale for lower) to indicate volatility thresholds.
Reference Levels: Horizontal lines at 0 (neutral), +100, and -100 (in normalized mode) for context.
Zone Highlighting: Overbought (⋎ above bars) and oversold (⋏ below bars) signals for extreme VQI levels (±200 in normalized mode).
Candle Coloring: Optional candle overlay colored by VQI direction (lime for positive, red for negative).
Interpretation:
VQI ≥ 200 (Normalized): Overbought condition, strong sell signal.
VQI 100–200: High volatility, potential selling opportunity.
VQI 0–100: Neutral bullish momentum.
VQI 0 to -100: Neutral bearish momentum.
VQI -100 to -200: High volatility, strong bearish momentum.
VQI ≤ -200 (Normalized): Oversold condition, strong buy signal.
🔶 EXAMPLES
Overbought Signal Detection: When VQI exceeds 200 (normalized), the indicator flags potential market tops with a red ⋎ symbol.
Example: During strong uptrends, VQI reaching 200 has historically preceded corrections, allowing traders to secure profits.
Oversold Signal Detection: When VQI falls below -200 (normalized), a lime ⋏ symbol highlights potential buying opportunities.
Example: In bearish markets, VQI dropping below -200 has marked reversal points for profitable long entries.
Volatility Trend Tracking: The VQI plot and bands help traders visualize shifts in market momentum.
Example: A rising VQI crossing above zero with widening bands indicates strengthening bullish momentum, guiding traders to hold or enter long positions.
Dynamic Support/Resistance: Standard deviation bands act as dynamic volatility thresholds during price movements.
Example: Price reversals often occur near the third standard deviation bands, providing reliable entry/exit points during volatile periods.
🔶 SETTINGS
Customization Options:
VQI Length: Adjust the EMA period for VQI calculation (default: 14, range: 1–50).
Smoothing Length: Set the EMA period for smoothing (default: 5, range: 1–50).
Standard Deviation Multipliers: Customize multipliers for bands (defaults: 1.0, 2.0, 3.0).
Normalization: Toggle normalization to -100/+100 scale and adjust lookback period (default: 200, min: 50).
Display Style: Switch between line or histogram plot for VQI.
Candle Overlay: Enable/disable VQI-colored candles (lime for positive, red for negative).
The Alpha-Extract Volatility Quality Indicator empowers traders with a robust tool to navigate market volatility. By combining directional price range analysis with smoothed volatility metrics, it identifies overbought and oversold conditions, offering clear buy and sell signals. The customizable standard deviation bands and optional normalization provide precise context for market conditions, enabling traders to make informed decisions across various market cycles.
Multifractal Forecast [ScorsoneEnterprises]Multifractal Forecast Indicator
The Multifractal Forecast is an indicator designed to model and forecast asset price movements using a multifractal framework. It uses concepts from fractal geometry and stochastic processes, specifically the Multifractal Model of Asset Returns (MMAR) and fractional Brownian motion (fBm), to generate price forecasts based on historical price data. The indicator visualizes potential future price paths as colored lines, providing traders with a probabilistic view of price trends over a specified trading time scale. Below is a detailed breakdown of the indicator’s functionality, inputs, calculations, and visualization.
Overview
Purpose: The indicator forecasts future price movements by simulating multiple price paths based on a multifractal model, which accounts for the complex, non-linear behavior of financial markets.
Key Concepts:
Multifractal Model of Asset Returns (MMAR): Models price movements as a multifractal process, capturing varying degrees of volatility and self-similarity across different time scales.
Fractional Brownian Motion (fBm): A generalization of Brownian motion that incorporates long-range dependence and self-similarity, controlled by the Hurst exponent.
Binomial Cascade: Used to model trading time, introducing heterogeneity in time scales to reflect market activity bursts.
Hurst Exponent: Measures the degree of long-term memory in the price series (persistence, randomness, or mean-reversion).
Rescaled Range (R/S) Analysis: Estimates the Hurst exponent to quantify the fractal nature of the price series.
Inputs
The indicator allows users to customize its behavior through several input parameters, each influencing the multifractal model and forecast generation:
Maximum Lag (max_lag):
Type: Integer
Default: 50
Minimum: 5
Purpose: Determines the maximum lag used in the rescaled range (R/S) analysis to calculate the Hurst exponent. A higher lag increases the sample size for Hurst estimation but may smooth out short-term dynamics.
2 to the n values in the Multifractal Model (n):
Type: Integer
Default: 4
Purpose: Defines the resolution of the multifractal model by setting the size of arrays used in calculations (N = 2^n). For example, n=4 results in N=16 data points. Larger n increases computational complexity and detail but may exceed Pine Script’s array size limits (capped at 100,000).
Multiplier for Binomial Cascade (m):
Type: Float
Default: 0.8
Purpose: Controls the asymmetry in the binomial cascade, which models trading time. The multiplier m (and its complement 2.0 - m) determines how mass is distributed across time scales. Values closer to 1 create more balanced cascades, while values further from 1 introduce more variability.
Length Scale for fBm (L):
Type: Float
Default: 100,000.0
Purpose: Scales the fractional Brownian motion output, affecting the amplitude of simulated price paths. Larger values increase the magnitude of forecasted price movements.
Cumulative Sum (cum):
Type: Integer (0 or 1)
Default: 1
Purpose: Toggles whether the fBm output is cumulatively summed (1=On, 0=Off). When enabled, the fBm series is accumulated to simulate a price path with memory, resembling a random walk with long-range dependence.
Trading Time Scale (T):
Type: Integer
Default: 5
Purpose: Defines the forecast horizon in bars (20 bars into the future). It also scales the binomial cascade’s output to align with the desired trading time frame.
Number of Simulations (num_simulations):
Type: Integer
Default: 5
Minimum: 1
Purpose: Specifies how many forecast paths are simulated and plotted. More simulations provide a broader range of possible price outcomes but increase computational load.
Core Calculations
The indicator combines several mathematical and statistical techniques to generate price forecasts. Below is a step-by-step explanation of its calculations:
Log Returns (lgr):
The indicator calculates log returns as math.log(close / close ) when both the current and previous close prices are positive. This measures the relative price change in a logarithmic scale, which is standard for financial time series analysis to stabilize variance.
Hurst Exponent Estimation (get_hurst_exponent):
Purpose: Estimates the Hurst exponent (H) to quantify the degree of long-term memory in the price series.
Method: Uses rescaled range (R/S) analysis:
For each lag from 2 to max_lag, the function calc_rescaled_range computes the rescaled range:
Calculate the mean of the log returns over the lag period.
Compute the cumulative deviation from the mean.
Find the range (max - min) of the cumulative deviation.
Divide the range by the standard deviation of the log returns to get the rescaled range.
The log of the rescaled range (log(R/S)) is regressed against the log of the lag (log(lag)) using the polyfit_slope function.
The slope of this regression is the Hurst exponent (H).
Interpretation:
H = 0.5: Random walk (no memory, like standard Brownian motion).
H > 0.5: Persistent behavior (trends tend to continue).
H < 0.5: Mean-reverting behavior (price tends to revert to the mean).
Fractional Brownian Motion (get_fbm):
Purpose: Generates a fractional Brownian motion series to model price movements with long-range dependence.
Inputs: n (array size 2^n), H (Hurst exponent), L (length scale), cum (cumulative sum toggle).
Method:
Computes covariance for fBm using the formula: 0.5 * (|i+1|^(2H) - 2 * |i|^(2H) + |i-1|^(2H)).
Uses Hosking’s method (referenced from Columbia University’s implementation) to generate fBm:
Initializes arrays for covariance (cov), intermediate calculations (phi, psi), and output.
Iteratively computes the fBm series by incorporating a random term scaled by the variance (v) and covariance structure.
Applies scaling based on L / N^H to adjust the amplitude.
Optionally applies cumulative summation if cum = 1 to produce a path with memory.
Output: An array of 2^n values representing the fBm series.
Binomial Cascade (get_binomial_cascade):
Purpose: Models trading time (theta) to account for non-uniform market activity (e.g., bursts of volatility).
Inputs: n (array size 2^n), m (multiplier), T (trading time scale).
Method:
Initializes an array of size 2^n with values of 1.0.
Iteratively applies a binomial cascade:
For each block (from 0 to n-1), splits the array into segments.
Randomly assigns a multiplier (m or 2.0 - m) to each segment, redistributing mass.
Normalizes the array by dividing by its sum and scales by T.
Checks for array size limits to prevent Pine Script errors.
Output: An array (theta) representing the trading time, which warps the fBm to reflect market activity.
Interpolation (interpolate_fbm):
Purpose: Maps the fBm series to the trading time scale to produce a forecast.
Method:
Computes the cumulative sum of theta and normalizes it to .
Interpolates the fBm series linearly based on the normalized trading time.
Ensures the output aligns with the trading time scale (T).
Output: An array of interpolated fBm values representing log returns over the forecast horizon.
Price Path Generation:
For each simulation (up to num_simulations):
Generates an fBm series using get_fbm.
Interpolates it with the trading time (theta) using interpolate_fbm.
Converts log returns to price levels:
Starts with the current close price.
For each step i in the forecast horizon (T), computes the price as prev_price * exp(log_return).
Output: An array of price levels for each simulation.
Visualization:
Trigger: Updates every T bars when the bar state is confirmed (barstate.isconfirmed).
Process:
Clears previous lines from line_array.
For each simulation, plots a line from the current bar’s close price to the forecasted price at bar_index + T.
Colors the line using a gradient (color.from_gradient) based on the final forecasted price relative to the minimum and maximum forecasted prices across all simulations (red for lower prices, teal for higher prices).
Output: Multiple colored lines on the chart, each representing a possible price path over the next T bars.
How It Works on the Chart
Initialization: On each bar, the indicator calculates the Hurst exponent (H) using historical log returns and prepares the trading time (theta) using the binomial cascade.
Forecast Generation: Every T bars, it generates num_simulations price paths:
Each path starts at the current close price.
Uses fBm to model log returns, warped by the trading time.
Converts log returns to price levels.
Plotting: Draws lines from the current bar to the forecasted price T bars ahead, with colors indicating relative price levels.
Dynamic Updates: The forecast updates every T bars, replacing old lines with new ones based on the latest price data and calculations.
Key Features
Multifractal Modeling: Captures complex market dynamics by combining fBm (long-range dependence) with a binomial cascade (non-uniform time).
Customizable Parameters: Allows users to adjust the forecast horizon, model resolution, scaling, and number of simulations.
Probabilistic Forecast: Multiple simulations provide a range of possible price outcomes, helping traders assess uncertainty.
Visual Clarity: Gradient-colored lines make it easy to distinguish bullish (teal) and bearish (red) forecasts.
Potential Use Cases
Trend Analysis: Identify potential price trends or reversals based on the direction and spread of forecast lines.
Risk Assessment: Evaluate the range of possible price outcomes to gauge market uncertainty.
Volatility Analysis: The Hurst exponent and binomial cascade provide insights into market persistence and volatility clustering.
Limitations
Computational Intensity: Large values of n or num_simulations may slow down execution or hit Pine Script’s array size limits.
Randomness: The binomial cascade and fBm rely on random terms (math.random), which may lead to variability between runs.
Assumptions: The model assumes log-normal price movements and fractal behavior, which may not always hold in extreme market conditions.
Adjusting Inputs:
Set max_lag based on the desired depth of historical analysis.
Adjust n for model resolution (start with 4–6 to avoid performance issues).
Tune m to control trading time variability (0.5–1.5 is typical).
Set L to scale the forecast amplitude (experiment with values like 10,000–1,000,000).
Choose T based on your trading horizon (20 for short-term, 50 for longer-term for example).
Select num_simulations for the number of forecast paths (5–10 is reasonable for visualization).
Interpret Output:
Teal lines suggest bullish scenarios, red lines suggest bearish scenarios.
A wide spread of lines indicates high uncertainty; convergence suggests a stronger trend.
Monitor Updates: Forecasts update every T bars, so check the chart periodically for new projections.
Chart Examples
This is a daily AMEX:SPY chart with default settings. We see the simulations being done every T bars and they provide a range for us to analyze with a few simulations still in the range.
On this intraday PEPPERSTONE:COCOA chart I modified the Length Scale for fBm, L, parameter to be 1000 from 100000. Adjusting the parameter as you switch between timeframes can give you more contextual simulations.
On BITSTAMP:ETHUSD I modified the L to be 1000000 to have a more contextual set of simulations with crypto's volatile nature.
With L at 100000 we see the range for NASDAQ:TLT is correctly simulated. The recent pop stays within the bounds of the highest simulation. Note this is a cherry picked example to show the power and potential of these simulations.
Technical Notes
Error Handling: The script includes checks for array size limits and division by zero (math.abs(denominator) > 1e-10, v := math.max(v, 1e-10)).
External Reference: The fBm implementation is based on Hosking’s method (www.columbia.edu), ensuring a robust algorithm.
Conclusion
The Multifractal Forecast is a powerful tool for traders seeking to model complex market dynamics using a multifractal framework. By combining fBm, binomial cascades, and Hurst exponent analysis, it generates probabilistic price forecasts that account for long-range dependence and non-uniform market activity. Its customizable inputs and clear visualizations make it suitable for both technical analysis and strategy development, though users should be mindful of its computational demands and parameter sensitivity. For optimal use, experiment with input settings and validate forecasts against other technical indicators or market conditions.
Third Candle MarkerTitel: Third Candle Marker – Highlights Trend Continuation
Beschreibung:
This script highlights potential trend continuation setups by marking the third candle after two consecutive candles of the same direction.
If the previous two candles were bullish (green), the third candle is colored green.
If the previous two candles were bearish (red), the third candle is colored red.
A white color indicates that no clear trend was detected in the previous two candles.
Additionally, the script plots small triangle markers:
Green upward triangle below the bar if the last two candles were bullish.
Red downward triangle above the bar if the last two candles were bearish.
Use this tool to visually identify potential continuation signals in trending markets. Suitable for all timeframes.
Note: This script does not generate buy/sell signals; it is meant to assist in visual trend recognition.
Real-Time Spring DetectorThis is a Pine Script for Trading View that creates a "Real-Time Spring Detector" indicator. This Pine Script is essentially a sophisticated pattern recognition tool that helps identify "spring" setups - a popular trading pattern where price briefly breaks below support but then bounces back strongly, often indicating that sellers are exhausted and buyers are ready to step in.What is a "Spring" in Trading?
A spring is a technical analysis pattern that occurs when:
Price breaks below a support level (like breaking below a floor)
But then quickly bounces back up (like a spring rebounds)
This often signals that sellers are weak and buyers are stepping in
Think of it like testing the strength of a trampoline - you push down, but it springs back up stronger.
What This Script Does
This Pine Script automatically detects spring patterns on your chart and alerts you when they happen. Here's how it works:
Main Components
1. Input Parameters (Settings You Can Adjust)
Lookback Period (10): How many bars back to look for patterns
Min Support Touches (2): How many times price must touch the support level
Min Penetration % (0.1%): How far below support price must break
Min Rejection % (30%): How much price must bounce back up
Alert Settings: Choose when to get notifications
2. Support Level Detection
The script finds "support levels" - price levels where buyers have stepped in before:
It looks at recent low points
Identifies areas where price has bounced multiple times
Uses a small tolerance (0.5%) to account for minor price differences
3. Spring Detection Logic
The script identifies three types of springs:
Real-Time Spring (happening right now):
Price breaks below support by the minimum amount
Price bounces back strongly (rejection %)
Current candle closes higher than it opened (bullish)
Volume is reasonable
Confirmed Spring (already completed):
Same as real-time, but the candle has finished forming
Potential Spring (early warning):
Price is near support but hasn't fully formed the pattern yet
4. Visual Elements
Markers on Chart:
🟢 Green Triangle: Confirmed spring (reliable signal)
🟡 Yellow Triangle: Spring forming right now (live signal)
🟠 Orange Circle: Potential spring (early warning)
Labels:
Show "SPRING" with the rejection percentage
"FORMING" for developing patterns
"?" for potential springs
Support Line:
Red dotted line showing the support level
Background Colors:
Light red when price penetrates support
Light yellow for potential springs
5. Information Box
A table in the top-left corner shows:
Current support level price
Whether penetration is happening
Rejection percentage
Current pattern status
Live price
6. Alert System
Two types of alerts:
Real-time alerts: Notify when spring is forming (current bar)
Confirmed alerts: Notify when spring is complete (bar closed)
Alert cooldown: Prevents spam by waiting 5 bars between alerts
How to Use This Script
1. Installation
Copy the script code
Open TradingView
Go to Pine Editor
Paste the code
Click "Add to Chart"
2. Settings
Adjust the input parameters based on your trading style:
Lower lookback = more sensitive, faster signals
Higher support touches = more reliable but fewer signals
Lower penetration % = catches smaller springs
Higher rejection % = only strong bounces
3. Interpretation
Green triangles: High-confidence buy signals
Yellow triangles: Watch closely, pattern developing
Orange circles: Early warning, not tradeable yet
4. Best Practices
Use on higher timeframes (15min+) for more reliable signals
Combine with other indicators for confirmation
Pay attention to volume - higher volume springs are more reliable
Wait for confirmed signals if you're a conservative trader
Key Features for Small Timeframes
The script includes special detection for shorter timeframes:
Quick bounce detection: Identifies rapid reversals
Hammer pattern recognition: Spots candlestick patterns
Relaxed volume requirements: Works when volume data is limited
Advanced Features
Volume Analysis
Compares current volume to 10-bar average
Requires at least 80% of average volume (flexible for small timeframes)
Pattern Enhancement
Looks for hammer-like candles (long lower wick, small upper wick)
Identifies quick bounces where the upper wick is small
Multiple Confirmation
Combines multiple criteria to reduce false signals
Stronger springs get priority for alerts
Common Use Cases
Entry Signals: Buy when confirmed springs appear
Support Level Identification: Visual support lines help identify key levels
Risk Management: Failed springs (continued breakdown) can be stop-loss triggers
Market Structure: Understanding where buyers are defending price levels
Limitations
Works best in trending or ranging markets May produce false signals in very choppy conditions
small timeframe signals can be noisy should be combined with other analysis methods.The key advantage is that it can catch these patterns as they happen, rather than you having to constantly watch charts. This is especially valuable for active traders who want to capitalize on quick reversals at support levels.
LRHA Trend Shift DetectorLRHA Trend Shift Detector (TSD)
The LRHA Trend Shift Detector is an advanced momentum exhaustion indicator that identifies potential trend reversals and changes by analyzing Linear Regression Heikin Ashi (LRHA) candle patterns. TSD focuses on detecting when strong directional moves begin to lose momentum.
🔬 Methodology
The indicator employs a three-stage detection process:
LRHA Calculation: Applies linear regression smoothing to Heikin Ashi candles, creating ultra-smooth trend-following candles that filter out market noise
Extended Move Detection: Identifies sustained directional moves by counting consecutive bullish or bearish LRHA candles
Momentum Exhaustion Analysis: Monitors for significant changes in candle size compared to recent averages
When an extended move shows clear signs of momentum exhaustion, the indicator signals a potential trend shift with red dots plotted above or below your candlesticks.
⚙️ Parameters
Core Settings
LRHA Length (11): Linear regression period for smoothing calculations. Lower values = more responsive, higher values = smoother trends.
Minimum Trend Bars (4): Consecutive candles required to establish an "extended move." Higher number detects longer term trend changes.
Exhaustion Bars (3): Number of consecutively smaller candles needed to signal exhaustion. Lower is more sensitive.
Size Reduction Threshold (40%): Percentage decrease in candle size to qualify as "exhaustion." Lower is more sensitive.
Trend Trading
Pullback Entries: Identify exhaustion in counter-trend moves for trend continuation
Exit Strategy: Recognize when main trend momentum is fading
Position Sizing: Reduce size when seeing exhaustion in your direction
🎛️ Optimization Tips
For More Signals (Aggressive)
- Decrease LRHA Length (7-9)
- Reduce Minimum Trend Bars (2-3)
- Lower Size Reduction Threshold (25-35%)
For Higher Quality (Conservative)
- Increase LRHA Length (13-18)
- Raise Minimum Trend Bars (5-6)
- Higher Size Reduction Threshold (45-55%)
⚠️ Important Notes⚠️
- **Not a Complete Strategy**: Use as confluence with other analysis methods
- **Market Context Matters**: Consider overall trend direction and key support/resistance levels
- **Risk Management Essential**: Always use proper position sizing and stop losses
- **Backtest First**: Optimize parameters for your specific trading style and instruments
Absolute High and Low {Darkoexe}This indicator identifies and visually highlights the absolute highest and lowest closing prices on a chart. It is designed to help traders quickly recognize major price extremes that can serve as significant support/resistance levels or turning points in historical price action.
🔧 What It Does
The script plots persistent horizontal lines on your chart to mark either:
The absolute highest and lowest closing prices of the entire visible chart, or
The highest and lowest closing prices within a custom range of candles, defined by the user.
These price levels are plotted using thick green and red lines, respectively, and are updated dynamically as new highs or lows are set.
⚙️ How It Works
When “Use all candles” is enabled, the script continuously updates the high and low lines based on the full price history of the chart. These lines remain until a new extreme is made.
When disabled, the script checks only the most recent N candles (max bars back input). It scans this window to find and plot the highest and lowest closes.
The lines extend to the right to help users visually anchor these key levels in future price action.
🎯 Use Cases
Spotting extreme price levels for potential mean-reversion strategies.
Confirming breakout or breakdown conditions.
Defining long-term support and resistance zones.
This tool is especially useful for discretionary traders who value historical context and want clear visual markers for past price extremes.
⚠️ Notes and Limitations
This script is not predictive. It simply marks historical price extremes based on closing values.
When using the fixed range mode (max bars back), be aware that values outside this range will not be considered.
The indicator does not repaint, but in full chart mode, it updates only when a new extreme is formed.
1 Candle SMT Divergence (Nephew_Sam_)📊 1 Candle SMT Divergence Detector
3-Way Smart Money Theory (SMT) Divergence Scanner for Multi-Symbol Analysis
This indicator identifies 1-candle SMT divergences by comparing one primary symbol against up to 2 correlation symbols across multiple timeframes simultaneously. Perfect for detecting institutional smart money moves and market inefficiencies.
🎯 Key Features:
3-Way Comparison: Compare 1 "From" symbol vs 2 "To" symbols (configurable)
5 Symbol Pairs: Pre-configure up to 5 different symbol combinations
Multi-Timeframe: Scan 5 timeframes simultaneously (Chart, 1H, 4H, Daily, Weekly)
Smart Filtering: Only displays timeframes equal to or higher than your chart
Real-Time Detection: Compares current vs previous candle highs/lows
Visual Alerts: Clean table display with color-coded divergence status
Line Drawing: Optional trend lines connecting divergence points
Replay Compatible: Works with TradingView's replay mode
📈 How It Works:
Detects when one symbol makes a higher high while correlated symbols make lower highs (and vice versa for lows). This creates SMT divergence signals that often precede significant market moves.
Multi Asset Comparative📊 Multi Asset Comparative – Compare Baskets of Cryptos Visually
This indicator allows you to compare the performance of two groups of cryptocurrencies (or any assets) over time, using a clean and intuitive chart.
Instead of looking at each asset separately, this tool gives you a global view by showing how one group performs relative to another — all displayed in the form of candlesticks.
🧠 What This Tool Is For
Markets constantly shift, and capital rotates between sectors or tokens. This script helps you visually track those shifts by answering a key question:
"Is this group of assets getting stronger or weaker compared to another group?"
For example:
Compare altcoins vs Bitcoin
Track the DeFi sector vs Ethereum
Analyze your custom portfolio vs the market
Spot moments when money flows from majors to smaller caps, or vice versa
🧩 How It Works (Simplified)
You select two groups of assets:
Group 1 (up to 20 assets) — the one you want to analyze
Group 2 (up to 5 assets) — your comparison baseline
The indicator then creates a single line of candles that represents the performance of Group 1 compared to Group 2. If the candles go up, it means Group 1 is gaining strength over Group 2. If the candles go down, it's losing ground.
This lets you see market dynamics in one glance, instead of switching charts or running calculations manually.
🚀 Why It's Unique
Unlike many indicators that just show data from one asset, this one provides a bird's-eye view of multiple assets at once — condensed into a simple visual ratio.
It’s:
Customizable (you choose the assets)
Visual and intuitive (no need to interpret tables or formulas)
Actionable (helps with trend confirmation, macro views, and market rotation)
Whether you're a swing trader, a macro analyst, or building your own strategy, this tool can help you spot opportunities hidden in plain sight.
✅ How to Use It
Choose your two groups of assets (e.g., altcoins vs BTC/ETH)
Watch the direction of the candles:
Uptrend = Group 1 gaining strength over Group 2
Downtrend = Group 1 weakening
Use it to confirm market shifts, anticipate rotations, or analyze sector strength
Events assistantThis script gives an ability to manually add events to your charts. There is no option to define events for different pairs. I trade only 2-3 pairs and it helps me a lot. It also draws vertical lines that separate trading period of your selection: daily, weekly and monthly. It is also possible to strictly define trading period. I use trading period every time during backtesting so it is easy to know when to start and when to finish. It also helps to remember that I already written down trading news during selected period.
Candle Ribbon [UkutaLabs]The Candle Ribbon is a powerful trading tool that creates a strong ribbon that indicates market strength. This ribbon is created using three moving averages that use the candle values (high, low, open and close) as its input values.
The center most MA will also be colored green, red or grey depending on whether or not its direction aligns with current market strength.
The outer band lines act as range indicators, plotted above and below the center ribbon, which represent volatility boundaries for price action.
█ USAGE
The Candle Ribbon is created using a series of three moving averages that uses values from the candle as its inputs. The user has the ability to select whether the moving averages are EMAs or SMAs, as well as the ability to control the period of the moving averages.
If the moving average calculated using the Candle Open is below the moving average calculated using the Candle Close, the ribbon will be colored green, indicating a bullish trend. If the moving average calculated using the Candle Open is above the moving average calculated using the Candle Open, the ribbon will be colored red, indicating a bearish trend.
This indicator also uses a series of hidden EMAs to determine market strength. If these EMAs do not align with the direction of the Candle Ribbon, the middle MA will instead be colored grey, indicating uncertainty in the market, as well as a possible reversal.
█ SETTINGS
Configuration
• Moving Average Type: Determines whether or not the Candle Moving Averages will be drawn as EMAs or SMAs.
• Moving Average Period: Determines the period of the Candle Moving Averages.
Moving Average
• Moving Average Input: Determines the input values for the hidden EMAs.
Algorithmic Candle Finder {Darkoexe}Algorithmic Candle Finder Indicator
Algorithmic candles are candles whose size and direction are significantly influenced by institutions or large players using market algorithms. These entities can move large amounts of capital in or out of the market, creating price moves that are often difficult for retail traders to predict or react to.
This can make short-term retail trading risky and inconsistent, especially when unaware of such institutional activity. The goal of this indicator is to help identify such candles, allowing traders to avoid trading during times of potential algorithmic influence.
Detection Criteria:
A candle is marked as algorithmic if either of the following conditions are met:
Size-Based Detection: If the current candle’s size exceeds the Average True Range (ATR) of the previous candle multiplied by the ATR factor input.
Volume-Based Detection: If the current candle’s volume exceeds the average volume of recent candles (e.g., last N candles) multiplied by the volume factor input.
When a candle is deemed algorithmic, a label saying "Algo!!!!!" will appear on the chart above the candle where the condition occurred.
Usage:
Use this indicator to study which times of day algorithmic candles frequently appear. This can help you adjust your strategy to avoid trading during these unpredictable moments.
Analogy:
Think of the market like the game Agar.io: small players (retail traders) collect small pellets to grow, while larger players (institutions) devour smaller ones. The small players must avoid the big ones to survive. Likewise, in trading, retail traders should aim to avoid high-impact algorithmic activity that could “consume” their trades.
CHoCH + BOS Detector (con líneas)este indicador sirve para simplificar las entrada scalper en el oro
