Dual-Scale MACDDual-Scale MACD is a dual-timeframe momentum indicator that displays a scaled short-term MACD together with a long-term MACD in the same pane.
The short-term MACD can be amplified by a configurable scale ratio, allowing its momentum structure to be visually aligned with the long-term MACD.
All EMA parameters are fully configurable, making this indicator suitable for experimentation with multi-cycle momentum resonance.
Features
Two independent MACD systems (short-term + long-term)
Fully configurable EMA parameters
Adjustable scale ratio for visual alignment
Clean histogram + top-layer signal line
Use cases
Multi-cycle momentum comparison
Trend confirmation & divergence analysis
Studying MACD resonance across time scales
This indicator is intended for analytical and educational purposes.
Penunjuk dan strategi
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Pro HTF Last-Closed Levels (D / 4H / 1H) This is OHLC lines per one and 4 hour to track levels. simple and easy
Terilsss Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Tom's Highs & Lows (V11.0) Updated to include previous month and previous week as well as cleaned up the session background fill to limit it to the high and low of the session. Tried to streamline the menu a bit
Added - Previous Month
Added - Previous Week
Added - Daily Open - customizable time
Previous Day
Asian Session - customizable time range
London Session - customizable time range
New York Session - customizable time range
MTF Equals v1.0MTF Equals is a professional-grade tool designed to identify significant price levels across multiple timeframes. It scans the current chart and higher timeframes (HTF) for identical highs and lows ("Equals"), which often act as price magnets or liquidity pools.
Key Features:
Multi-Timeframe Analysis: Automatically detects identical highs and lows on the current chart, as well as M5, M15, M30, H1, H4, and Daily.
NQ Auto-Detection: Specialized logic for Nasdaq (NQ) that automatically determines the ideal starting point for analysis based on volume, efficiency, and price density.
Live Statistics: Displays the number of touches and the bar distance from the first touchpoint directly on the price level.
Smart Cleaning: Levels are automatically removed once they are significantly breached by price, keeping your chart clutter-free.
Advanced Visuals: Fully customizable colors, line styles, and label positioning (e.g., Align to Margin).
How to use:
Perfect for spotting "Equal Highs/Lows" (Liquidity) or confirming institutional support and resistance zones.
Intraday Time-of-Day RVOL (histogram)intraday relative volume indicator, which can use for measuring the strength of breakout
BTC vs US500: Normalized Trend DivergenceOverview:
In the financial landscape of 2026, the correlation between Bitcoin and traditional equity markets has reached institutional maturity. This indicator provides a sophisticated way to visualize this relationship by normalizing the US500 index directly onto the Bitcoin price scale.
This script is designed specifically for trading Bitcoin. We focus on anomalies where BTC either aligns with or diverges from the global market trend.
Key Features:
Target Asset: BTCUSD
Recommended Timeframe: 1D for reliable macro trend analysis.
Normalized US500 MA (Neon Blue): The primary signal line showing the 50-period trend of the S&P 500 adapted to BTC’s price.
Live Correlation Dashboard: Real-time data showing Market Status (Strong Risk-On, BTC Strength, etc.).
Crossover Signals: Visual alerts (triangles) when Bitcoin’s price breaks above or below the normalized US500 trend.
How to use:
Strong Risk-On: Price is above both MAs. Global markets and BTC are in sync.
BTC Strength (Divergence): BTC is above the US500 MA but US500 itself is lagging. This often signals institutional accumulation of BTC.
Custom Dividers [louis]Custom Dividers is a streamlined utility designed for Multi-Timeframe Analysis (MTF). It allows you to visualize higher timeframe structures directly on lower timeframe charts by drawing infinite vertical lines at the open of new periods.
Unlike standard grid lines and other divider indicators, this has custom inputs, giving you complete control over non-standard timeframes (e.g., 90-minute cycles, 6-hour blocks, or 2-day periods).
🔑 Key Features
- 4 Independent Timeframe Slots: Configure up to four different vertical dividers simultaneously.
- Custom Minute Inputs (TF 1 & TF 2): Instead of restricting you to a dropdown, the first two slots allow you to input any integer for minutes.
Example: Set 90 for 90-minute cycle dividers.
Example: Set 360 for 6-hour dividers.
- Standard Timeframe Selectors (TF 3 & TF 4): Traditional dropdowns for standard periods like Daily (D), Weekly (W), or Monthly (M).
- Visual Customization:
Lines: Uses line.new() drawing logic to ensure dividers stretch infinitely from top to bottom, regardless of price scale.
Styles: Select from Solid, Dashed, or Dotted directly in the inputs.
Width & Color: Fully customizable to blend into your chart theme.
⚙️ How to Configure
Go to the Settings (Inputs Tab):
TF 1 & TF 2: Enter the specific number of minutes (e.g., 60 = 1 Hour, 240 = 4 Hours). Toggle the checkbox to Show/Hide.
TF 3 & TF 4: Select the timeframe period from the dropdown. Toggle the checkbox to Show/Hide.
Style: Choose your line style, color, and width.
Note: Since this indicator uses geometric drawings (line.new) to achieve full-height vertical lines, all visual settings (Color, Width, Style) are located in the Inputs Tab, not the Style tab.
Multi-Timeframe Rsi-Mean Deviation (Normalized)═══════════════════════════════════════════════════════════════════
RSI SIGMOID OSCILLATOR + MULTI-TIMEFRAME
Advanced RSI-EMA Deviation Analysis with Z-Score Normalization
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📊 OVERVIEW
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This indicator measures the deviation of RSI from its EMA and transforms it into a normalized 0-100 oscillator using z-score and sigmoid function. It provides multi-timeframe analysis with a clean visual dashboard, making it easy to spot momentum shifts across different time horizons.
🎯 KEY FEATURES
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✓ Z-Score Normalized RSI-EMA Deviation
✓ Sigmoid Transformation (0-100 scale with smooth transitions)
✓ Multi-Timeframe Support (compare up to 3 timeframes simultaneously)
✓ Interactive Dashboard (real-time values and trend indicators)
✓ Dynamic Color Coding (red below 50, unique colors above 50)
✓ Timeframe Labels (clear identification of each line)
✓ RSI Bollinger Bands (hidden background extreme detection)
✓ Clean Minimalist Design
⚙️ HOW IT WORKS
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1. DEVIATION CALCULATION
- Calculates: RSI - EMA(RSI)
- Measures how far RSI deviates from its moving average
2. Z-SCORE NORMALIZATION
- Converts deviation to z-score: (deviation) / stdev(deviation)
- Makes signals comparable across different market conditions
3. SIGMOID TRANSFORMATION
- Maps z-score to 0-100: sigmoid = 100 / (1 + e^(-k*z))
- Provides smooth, bounded oscillator with clear midline (50)
4. MULTI-TIMEFRAME ANALYSIS
- Displays current TF + 2 higher timeframes
- All calculations use identical parameters for consistency
📈 INTERPRETATION
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OSCILLATOR VALUES:
• Above 50 = Bullish momentum (RSI > its EMA)
• Below 50 = Bearish momentum (RSI < its EMA)
• Near 70 = Strong bullish (potential overbought)
• Near 30 = Strong bearish (potential oversold)
COLOR CODING:
• Blue line = Current timeframe
• Orange line = Higher timeframe 1 (default: 4H)
• Lime line = Higher timeframe 2 (default: 1D)
• Red = All timeframes when below 50
MULTI-TIMEFRAME SIGNALS:
• All 3 lines above 50 = Strong bullish alignment
• All 3 lines below 50 = Strong bearish alignment
• Mixed signals = Potential reversal or consolidation
🔧 PARAMETERS
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RSI Period (14): Base RSI calculation period
RSI EMA Period (14): EMA smoothing for RSI
Standard Deviation Period (20): Window for z-score calculation
Sigmoid Sensitivity (1.0): Controls oscillator responsiveness (0.1-10.0)
Bollinger Band Multiplier (2.0): For background extreme detection
Higher Timeframe 1 (240): First comparison timeframe
Higher Timeframe 2 (D): Second comparison timeframe
💡 USAGE TIPS
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1. TREND CONFIRMATION
- Use higher timeframes to confirm trend direction
- Only take longs when 4H/1D also above 50
2. DIVERGENCE DETECTION
- Watch for price making new highs/lows while oscillator doesn't
- Classic bullish/bearish divergence signals
3. OVERBOUGHT/OVERSOLD
- Values above 70: Consider taking profits or tightening stops
- Values below 30: Watch for reversal or continuation
4. TIMEFRAME ALIGNMENT
- Best trades occur when all timeframes align
- Mixed signals suggest waiting for clarity
⚠️ IMPORTANT NOTES
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• Not a standalone trading system - use with other confirmations
• Works best in trending markets
• Adjust sensitivity (k) for different instruments
• Higher k values = more responsive (more signals)
• Lower k values = smoother (fewer false signals)
📊 DASHBOARD
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The top-right table shows:
• TF: Timeframe identifier
• Signal: Current oscillator value (0-100)
• Trend: Green circle (≥50) or Red circle (<50)
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Created for multi-timeframe momentum analysis
Best used on 1H, 4H, or Daily charts
Combines statistical normalization with sigmoid smoothing
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⚠️ DISCLAIMER
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This indicator is provided for educational and informational purposes only.
It is NOT financial advice. Trading involves substantial risk of loss and is
not suitable for everyone. Past performance does not guarantee future results.
Always:
• Use proper risk management
• Combine with other analysis methods
• Test thoroughly before live trading
• Never risk more than you can afford to lose
• Consult a financial advisor for personalized advice
👍 SUPPORT THIS WORK
───────────────────
If you find this indicator useful:
📊 Please give it a LIKE / BOOST
💬 Leave a COMMENT with your feedback
👤 FOLLOW me for more quality indicators and updates
⭐ Share with others who might benefit
Your support motivates me to create more free tools for the trading community!
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Consolidation Zones (Range + ATR + optional ADX)Consolidation Zones — Market Compression Visualizer
Consolidation Zones is a visual market-structure indicator designed to identify periods of price compression where volatility contracts and directional movement pauses. These zones often precede expansion, breakout, or trend continuation, making them critical areas for trade preparation and risk planning. Instead of relying on a single oscillator, this script evaluates price behavior over time to detect when the market is moving sideways within a defined range. When consolidation is present, the indicator highlights the zone directly on the chart, allowing traders to immediately see where balance is occurring.
What This Indicator Helps You Do:
Identify low-volatility, sideways markets
Spot compression before expansion
Avoid entering trades during chop and noise
Prepare for breakout or breakdown scenarios
Combine structure with your existing trend or momentum tools
How to Use It
Inside the zone: Expect indecision and mean-reversion behavior
Break above the zone: Potential bullish expansion
Break below the zone: Potential bearish expansion
Use zone boundaries as context for entries, stops, and targets
This indicator is intentionally non-predictive — it does not guess direction. Instead, it provides clarity, showing where the market is coiling so you can act when price reveals intent.
Best Paired With
Trend indicators (EMA, VWAP)
Momentum tools (RSI, MACD)
Volume or volatility expansion tools
Notes
Consolidation is timeframe-dependent — zones may differ across intervals
Designed as a context tool, not a standalone signal generator
This indicator is for educational and informational purposes only.
True FVGs v2This script identifies and plots true Fair Value Gaps (FVGs) using a strict three-candle structure, distinguishing between two formation types while accounting for doji candles. It draws shaded boxes to represent untraded price imbalances, with Type A and Type B gaps defined by precise wick-to-body and body-to-body relationships that reflect institutional price displacement. The indicator allows the user to control how far each FVG extends and how many recent FVGs remain visible, keeping the chart clean and relevant. This is helpful because it highlights high-probability areas where price is likely to react, enabling more precise trade planning, entries, and risk management without visual clutter. It expands on the first script (True FVGs) and allows for a more controlled design fitting each trader's desires.
Supertrend by JKRSupertrend by JKR is a trend-following overlay that plots dynamic support/resistance bands around price and flips when the trend changes.
It builds a smoothed baseline using your selected moving average type (SMA, TMA, WMA, VWMA, TEMA, HMA, EMA, or VMA). Around this baseline, it computes a volatility/range offset (classic ATR mode or Dual-Thrust range mode) and creates two trailing bands:
UpTrend band (active during bullish conditions)
DownTrend band (active during bearish conditions)
When price closes beyond the active band, the indicator flips trend direction and switches to the opposite band. While the trend remains active, the band “trails” price and updates in a way that avoids stepping backwards, which helps keep the trend structure clean and stable.
Options
Trend-change arrows (optional)
Bar coloring or candle overlay (optional)
Designed to evaluate on bar close for stable signals
Tip: Increase the Multiplier to reduce flips and widen bands; reduce Period to make the trend more responsive.
Dav1zoN ScalpThis script is a 5-minute scalping setup built around SuperTrend.
Entries are taken on SuperTrend flips on the 5-minute chart
Direction is confirmed with the 15-minute SMA200
Above SMA200 → only BUY trades
Below SMA200 → only SELL trades
This helps avoid sideways markets and low-quality signals
SuperTrend adapts to market volatility, while the higher-timeframe SMA200 keeps trades aligned with the main trend.
DEMA200 + EMA9/20/50 + VWAP (Paul Laurent Trading)This script is an all-in-one overlay indicator for TradingView that combines a **DEMA 200**, **EMA 9/20/50**, and TradingView’s **anchored VWAP** (the same VWAP logic as the default VWAP indicator). It’s designed to keep your chart clean while showing key trend and mean-reversion references in one place.
**How to use it**
* Add it to your chart like any indicator: open **Indicators**, search the script name, and click **Add to chart**.
* Use **EMA 9/20/50** for short-term trend and pullback structure (9 = fastest, 50 = slowest).
* Use **DEMA 200** as your long-term trend filter and major dynamic support/resistance.
* Use **VWAP (middle blue line)** as the intraday “fair value” reference. Price above VWAP generally shows stronger demand; below VWAP suggests weaker demand.
* Open the script **Settings** to customize:
* **Colors** and **Strength (line width)** for each line
* VWAP **Anchor Period** (Session, Week, Month, etc.)
* Optional VWAP **Bands** (off by default, can be enabled anytime)
Crypto Prev Day/Week Hi-Lo (UTC)escription
Crypto Prev + This Day/Week Hi-Lo (UTC) plots key high/low levels for crypto markets using a 24-hour session anchored to 00:00 UTC.
This indicator is designed for traders who treat crypto as a true 24/7 market and want consistent, global day/week levels that don’t shift with daylight savings.
What it plots
PDH / PDL = Previous Day High / Previous Day Low
PWH / PWL = Previous Week High / Previous Week Low
TWH / TWL = This Week High / This Week Low
00:00 UTC vertical line = marks the start of a new UTC day
Abbreviations
PDH = Previous Day High
PDL = Previous Day Low
PWH = Previous Week High
PWL = Previous Week Low
TWH = This Week High
TWL = This Week Low
UTC = Coordinated Universal Time (global standard time reference)
Smart Multi-Timeframe SeparatorsHere you will get Hourly, daily, weekly and monthly candle separator and also Running candle formation. Enjoy our indiactor. Happy Trading. Drop your feedback also please.
VWF Trend VWF Trend – Fear-Based Trend Detection
VWF Trend is a price-overlay indicator designed to detect trend direction and strength using a volatility-based approach derived from Williams Vix Fix (WVF).
Unlike classic momentum indicators, VWF Trend focuses on fear and pressure zones and projects them directly onto the price chart for intuitive trend reading.
Key Concept (Important)
When the VWF lines contract and stay close to each other, the trend is strong.
This contraction means:
Volatility is controlled
Price is moving with commitment
Trend continuation probability is high
When the distance between the lines expands, trend strength weakens and the market is more likely to enter consolidation or transition.
How It Works
The central VWF EMA line acts as a dynamic trend threshold
Upper and lower VWF bands define
define pressure boundaries
Price position relative to the VWF line determines trend bias
How to Read
🟢 Bullish Trend
Price stays above the VWF line
VWF bands remain tight and compressed
Indicates strong upward trend
🔴 Bearish Trend
Price stays below the VWF line
VWF bands remain tight and compressed
Indicates strong downward trend
⚠️ Weak or Transition Zone
Bands start expanding
Price oscillates around the VWF line
Trend strength is decreasing
Why VWF Trend?
Highlights trend strength visually
Helps identify early trend continuation
Filters noise during strong moves
Works well after high-volatility events
Clean and chart-friendly design
Note:
VWF Trend is best used as a trend strength and direction filter,
not as a standalone buy/sell signal.
It performs best when combined with price action, structure, or volume analysis.
ORB FOR WINNERSMarks out the highs and lows for the first 15m candle or the first 1H candle for Asia, London & NY Session
HIGHS & LOWS RusosTITLE: HIGHS & LOWS Rusos - Multi-Timeframe Liquidity Engine
DESCRIPTION:
HIGHS & LOWS Rusos is a professional-grade structural liquidity tool designed to identify key Highs and Lows across multiple timeframes with a smart filtering engine. This script focuses on high-probability liquidity zones while maintaining a clean and organized chart.
Key Features:
Hierarchical Priority: The script uses a "Waterfall" logic. Monthly levels take priority over Weekly, Weekly over Daily, and so on. If levels from different timeframes overlap (within a tick margin), only the higher-order level is displayed to avoid clutter.
Multi-Timeframe Tracking: Automatically plots Monthly (HM/LM), Weekly (HS/LS), Daily (HD/LD), and 4-Hour (H4h/L4h) structural points.
Precision Anchoring: Lines are drawn from the exact start of their respective cycles (Month, Week, Day), providing accurate historical context.
Dynamic Mitigation: When price touches a level, the line is cut and marked with an "×". You can fully customize the opacity of these mitigated levels in the settings to keep your focus on active liquidity.
Optimized Performance: Built-in memory management limits the number of active and historical lines to ensure smooth performance.
Technical Hierarchy:
Monthly > Weekly > Daily > 4 Hours Lower timeframe levels are automatically hidden when viewing higher timeframe charts to prevent visual artifacts.
3-Daumen-Regel mit 4 Daumen, YTD-Linie, SMA200 und ATR
The script calculates the following values and displays them in a table:
- YTD line
- SMA
- ATR and ATR
- Difference to YTD
- Difference to SMA200
The table also includes a four-point rating for:
- the first 5 trading days of the year
- price relative to SMA
- price relative to YTD line
- the first month of the trading year
Bitcoin Halving Cycles [DotGain]Halving Cycles
A lightweight, time-anchored Bitcoin halving cycle visualizer built for clean charting, repeatable process planning, and simple profit/DCA timing references.
This Code was heavily inspired by KevinSvenson_ who created Bitcoin Halving Cycle Profit .
What this indicator does
This script plots the key “cycle landmarks” relative to each halving date:
Halving (⛏) – the cycle anchor
Profit START – marks the beginning of the post-halving profit window (default: 40 weeks )
Profit END / Last Call – marks the final phase of the profit window (default: 77 weeks )
DCA START – marks the point where long-term accumulation becomes the focus again (default: 135 weeks )
How to read it
Vertical lines = the exact cycle milestones
Bottom labels = description of each milestone aligned to its line (keeps the chart clean)
Green background (optional) = active Profit Zone on existing bars
Red background (optional) = optional warning zone after Profit END
HUD Panel (top-right)
The HUD gives you a fast “where are we in the cycle?” view with two modes:
Current Cycle
Shows: Halving date, Weeks since, and time remaining to Profit START / Last Call / DCA START within the current cycle.
Next Halving (Projection)
Shows: Countdown to the next enabled future halving, plus the projected weeks from today to Profit START / Last Call / DCA START after that future halving.
Future Halvings (manual)
You can manually add up to 3 future halving dates (Halving #1–#3).
This is useful for forward planning and cycle projection even before the event happens.
Enable Halving #1 / #2 / #3
Set Year / Month / Day for each
Optional: show/hide future markers & projections
Note: background zones only shade existing bars . Future projections are shown via lines/labels.
Settings overview
Show all cycles – plots every enabled cycle (historical + optional future). If disabled, only the current cycle is drawn.
Show Profit Zone background – green shading during the active profit window (current cycle only).
Show vertical markers + labels – toggles all milestone lines + labels.
Show HUD – toggles the HUD panel.
HUD Mode – switch between Current Cycle and Next Halving (Projection).
Cycle Logic – edit offsets in weeks (Profit START / Profit END / DCA START).
Optional Warning Zone – show a post-profit warning shading for a chosen number of weeks.
Have fun :)
Disclaimer
This Halving Cycles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
This indicator is an independent implementation of a time-based Bitcoin halving cycle visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, protocols, or trademarked methodologies. The cycle zones, milestone markers, and countdown values displayed by this indicator are generated by a predefined set of algorithmic rules based on historical halving dates and user-defined time offsets. They do not constitute a direct recommendation to buy, sell, or hold any financial instrument or digital asset.
All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights historical and projected time-based market cycles and may produce false, lagging, incomplete, or misleading signals. Market behavior is influenced by many external factors and can deviate significantly from historical patterns or expectations.
The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate insights with additional tools or analysis, and consider your personal financial situation and risk tolerance before making any financial decision.






















