[delta2win] Liquidity Zone Map🔥 Liquidity Zone Map — Volume‑normalized pivot zones with adaptive ATR scaling
📊 What it does:
• Detects potential liquidity/liquidation zones above confirmed highs and below confirmed lows
• Draws dynamic zones whose height scales with ATR and whose color intensity scales with volume
• Zones extend right and terminate on rule‑based events (midline cross)
🔬 How it works (core formulas):
• Pivot detection: ta.pivothigh/ta.pivotlow with length L
• Zone height: H = max(ATR(T) × M, MinTicks)
• Intensity (volume‑normalized):
– Z‑Score mode: I = clamp((V − μ) / (σ + ε), 0..1)
– Piecewise mode: I = clamp(V ≤ μ ? V/μ : (V − μ) / (Vmax − μ + ε), 0..1)
• Gradient color: col = Gradient(I) (start → mid → end)
• Zone life‑cycle:
– Creation on new pivot (top/bottom)
– Right edge follows bar_index
– Termination when with Mid = (Top+Bottom)/2, or optional TTL timeout
• Analysis range: global or constrained (Bars Back or ±% price window). Color scaling can be global or range‑scoped.
🆕 What’s new/different:
• Selectable volume normalization (Z‑Score or Piecewise)
• Timeframe‑adaptive ATR multiplier
• Range‑scoped vs. global color scaling
• Optional midlines, borders, info legend, scale legend
• Optional TTL termination for zones (lifetime in bars)
• Object management (cleanup/pooling) for performance
🧭 How to use (suggested presets):
• 1–5m: L=2, T=200, M=0.25, Range=Bars Back 1000, Intensity=Piecewise
• 15–60m: L=3, T=200, M=0.20, Range=Bars Back 1500, Intensity=Piecewise
• 4h+: L=4, T=200, M=0.20, Range=Off, Intensity=Z‑Score
⚙️ Settings:
• Pivot length L, ATR length T, multiplier M, MinTicks
• Opacity: base/auto (min/max)
• Range: Bars Back | Price Range ±% | Off
• Scaling: global vs. range‑scoped
• Midlines/borders/legends on/off
💡 Usage notes:
• Smaller L → more reactive, less robust
• Larger M → longer‑lasting zones
• On higher TFs, constrain "Bars Back" for performance
⚠️ Limitations:
• Non‑predictive; regime/volatility dependent
• Data quality impacts intensity computation
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oi + funding oscillator cryptosmartThe oi + funding oscillator cryptosmart is an advanced momentum tool designed to gauge sentiment in the crypto derivatives market. It combines Open Interest (OI) changes with Funding Rates, normalizes them into a single oscillator using a z-score, and identifies potential market extremes.
This provides traders with a powerful visual guide to spot when the market is over-leveraged (overheated) or when a significant deleveraging event has occurred (oversold), signaling potential reversals.
How It Works
Combined Data: The indicator tracks the rate of change in Open Interest and the value of Funding Rates.
Oscillator: It blends these two data points into a single, smoothed oscillator line that moves above and below a zero line.
Extreme Zones:
Overheated (Red Zone): When the oscillator enters the upper critical zone, it suggests excessive greed and high leverage, increasing the risk of a sharp correction (long squeeze). A cross below this level generates a potential sell signal.
Oversold (Green Zone): When the oscillator enters the lower critical zone, it indicates panic, liquidations, and a potential market bottom. A cross above this level generates a potential buy signal.
Trading Strategy & Timeframes
This oscillator is designed to be versatile, but its effectiveness can vary depending on the timeframe.
Optimal Timeframes (1H and 4H): The indicator has shown its highest effectiveness on the 1-hour and 4-hour charts. These timeframes are ideal for capturing significant shifts in market sentiment reflected in OI and funding data, filtering out short-term noise while still providing timely reversal signals.
Lower Timeframes (e.g., 1-min, 5-min, 15-min): On shorter timeframes, the oscillator is still a highly effective tool, but it is best used as a confluence factor within a broader trading system. Due to the increased noise on these charts, it is not recommended to use its signals in isolation. Instead, use it as a final argument for entry. For example, if your primary scalping strategy gives you a buy signal, you can check if the oscillator is also exiting the oversold (green) zone to add a powerful layer of confirmation to your trade.
Heikin Ashi Overlay SuiteHeikin Ashi Overlay Suite is designed to give traders more control and clarity when working with Heikin Ashi candles — whether you're analyzing trend strength, reducing chart noise, or simply improving your visual read of market momentum. It works by layering multiple types of HA overlays and color systems on top of your standard candlestick chart — without switching chart types. With dynamic gradient coloring, smoothing options, and a predictive line tool, this script helps you see not just what the current trend is, but how strong it is, and what it would take to reverse it.
Heikin Ashi candles help reduce noise but this script goes further by:
➡️adding color intelligence that shows trend strength using a streak counter
➡️uses smoothing logic to clean up chop and whipsaws
➡️introduces a predictive close line — a subtle but powerful guide for anticipating trend flips before they happen
Everything is configurable: colors, candle sources, overlays, predictive tools, and line styles. It’s built for traders who want visual speed, but don’t want to sacrifice signal quality.
At its core, the script offers two powerful dropdown controls:
💥HA Color Scheme (Colors Regular Candles) — Applies Heikin Ashi-derived coloring to your regular candles based on trend direction or streak strength. This gives you instant visual context without switching to a separate chart type.
💥HA Candle Overlay Mode — Overlays actual Heikin Ashi-style candles directly on top of your chart, using your preferred source:
➡️Custom HA candles using internal formula logic
➡️TradingView’s built-in Heikin Ashi source with your own colors
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
🎨 Custom + Gradient HA Coloring🎨
See trend strength at a glance:
➡️1–4 bar streaks → lighter tone
➡️5–8 bars → medium tone
➡️9+ bars → bold tone, ideal for momentum-based entries, exits, or scaling strategies
→ Choose from:
➡️Your own custom color set
➡️A simple 2-color base mode
➡️Or a 3-level gradient for progressive trend analysis (using the streak counter)
🏛️ TradingView Official Heikin Ashi Overlay
Prefer native HA candles but want your own colors?
This mode plots TradingView's Heikin Ashi source, with your personal bullish/bearish color scheme.
➡️Ensures consistency with built-in charts while still leveraging your visual style.
🌊 Smoothed Heikin Ashi Candles — Clarity in Chaos🌊
These aren’t your standard HA candles. Smoothed Heikin Ashi uses a two-step EMA process to transform chaotic price action into a cleaner, slower-moving trend structure:
🔹 First, it smooths the raw OHLC data using EMA — filtering out minor price fluctuations.
🔹 Then, it applies the Heikin Ashi transformation on top of the smoothed data.
🔹 Finally, it applies a second EMA smoothing pass to the HA values — creating ultra-smooth candles.
📈 What You See:
Trends appear more fluid and consistent.
Choppy ranges and fakeouts are visually suppressed.
Minor pullbacks within a trend are de-emphasized, helping you avoid premature exits.
🎯 Best For:
Swing traders looking to stay in positions longer.
Intraday traders dealing with volatile or noisy instruments.
Anyone who wants a "trend map" overlay without the distractions of raw price action.
✅ Reduces whipsaws
✅ Delivers high-contrast trend zones
✅ Makes reversals more visually apparent (but with a slight lag)
📍 Predictive Close Line📍
Shows where the real close must land to flip the current HA candle's color.
✅ Use it like predictive support/resistance
✅ Know if the trend is actually at risk
✅Visualize potential fakeouts or confirmation
Color-coded based on current HA direction (bullish, bearish, or neutral).
📈 Tick by tick & bar-to-bar Plots📈
Provides 2 plot types:
1)1 plot that tracks a bar tick by tick
2)another plot that tracks the close from bar to bar
For the bar to bar plot, you can choose between 2 options:
✅Full Plot — continuous line colored by HA trend
✅Recent Segments — color just the last few bars (configurable) to reduce chart clutter
✅ Customize width, number of bars, and visibility
➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖
📘 How to Use this script📘
Imagine you're watching a choppy 15-minute chart on a volatile crypto pair — price action is messy, and it’s hard to tell if a trend is forming or just noise.
Here’s how to cut through the chaos using Heikin Ashi Overlay Suite:
🔹 Step 1: Enable "Smoothed HA Candles"
Start by turning on the smoothed candles. You’ll immediately notice the noise fades, and broader directional moves become easier to follow. It's like switching from static to clean trend zones.
🧠 Why: Smoothed HA uses a double EMA process that filters out small reversals and lets larger moves stand out. Perfect for sideways or jittery charts.
🔹 Step 2: Watch the Color Gradient Build
As the smoothed candles begin to align in one direction, the gradient coloring (1–4, 5–8, 9+ streaks) gives you an at-a-glance visual of how strong the trend is.
✅ If you see 9+ same-colored candles? You’re likely in a mature trend.
✅ If it resets often? You’re in chop — consider staying out.
🔹 Step 3: Use the Predictive Close Line for Anticipation
Now here’s the edge — this line tells you where the candle would have to close to flip colors.
📉 If price is hovering just above it during a bullish run — momentum may be weakening.
📈 If price bounces off it — the trend may be strengthening.
This is excellent for confirming entries, exits, or spotting early warning signs.
🔹 Step 4: Switch Between Candle Modes as Needed
You can flip between:
✅ Custom HA: Gradient candles with your colors
✅ TradingView HA: The official source with your styling
✅ None: Just color regular candles using the HA logic
Use what fits your style — everything is modular.
🔹 Step 5: Tune It to Your Chart
Lastly, tweak streak thresholds (currently only can do this within the source code), smoothing lengths, and line styles to match your timeframe and strategy.
🎯 Tailor The Settings to Fit Your Trading Style🎯
🔹 🧪 Scalper (1–5 min charts)
If you’re trading fast intraday moves, you want quicker responsiveness and less lag.
Try these settings:
🔸Smoothing Lengths: Use lower values (e.g. len = 3, len2 = 5)
🔸Candle Mode: Use Custom HA or TV’s HA for real-time color flips
🔸Predictive Close Line: Great for ultra-fast anticipation of color reversals
🔸Line Mode: Use Recent Segments mode to track short bursts of trend
🔸Colors: Use high-contrast, opaque colors for clarity
✅ These settings help you catch micro-trends and flip signals faster, while still filtering out the worst of the noise.
🔹 🧪 Swing Trader (30m–4h charts and beyond)
If you’re looking for multi-hour or multi-day trend confirmation, prioritize clarity and staying in moves longer.
Recommended setup:
🔸Smoothing Lengths: Medium to high values (e.g. len = 8, len2 = 21)
🔸Candle Mode: Use Smoothed HA Candles to block out intrabar chop
🔸Gradient Colors: Enable to visualize trend maturity and strength
🔸Predictive Close Line: Helps confirm trend continuation or spot early reversals
🔸Line Mode: Use Full Plot Line for clean HA-based trend tracking
✅ These settings give you a calm, clean view of the bigger picture — ideal for holding positions longer and avoiding early exits.
🔧 This script isn’t just a chart overlay — it’s a visual trend engine.🔧
Ideal For:
🔶 Trend-followers who want clean, color-coded confirmation
🔶 Reversal traders spotting exhaustion via predictive flips
🔶 Scalpers filtering noise with lighter smoothing
🔶 Swing traders using smoothed visuals to hold longer
📌 Final Note
Heikin Ashi Overlay Pro is designed to help you see momentum, trend shifts, and market structure with greater clarity — not to predict price on its own. For best results:
✔️ Combine with support/resistance, moving averages, or price action patterns
✔️ Use Predictive Close as a confirmation tool, not a signal generator
✔️ Pair gradient colors with structure to gauge trend maturity
✔️ Always zoom out and check higher timeframes for context
🧠 Use this as part of a layered approach — not a standalone system.
🙏 Credits🙏
⚡HA logic based on SimpleCryptoLife
⚡Smoothed HA concept adapted from a script by Jackvmk
💡💡💡Turn logic into clarity. Structure into trades. And uncertainty into confidence.💡💡💡
Smarter Money Concepts Dashboard [PhenLabs]📊Smarter Money Concepts Dashboard
Version: PineScript™v6
📌Description
The Smarter Money Concepts Dashboard is a comprehensive institutional trading analysis tool that combines six of our most powerful smarter money concepts indicators into one unified suite. This advanced system automatically detects and visualizes Fair Value Gaps, Inverted FVGs, Order Blocks, Wyckoff Springs/Upthrusts, Wick Rejection patterns, and ICT Market Structure analysis.
Built for serious traders who need institutional-grade market analysis, this dashboard eliminates subjective interpretation by automatically identifying where smart money is likely positioned. The integrated real-time dashboard provides instant status updates on all active patterns, making it easy to monitor market conditions at a glance.
🚀Points of Innovation
● Multi-Module Integration: Six different SMC concepts unified in one comprehensive system
● Real-Time Dashboard Display: Live tracking of all active patterns with customizable positioning
● Advanced Volume Filtering: Institutional volume confirmation across all pattern types
● Automated Pattern Management: Smart memory system prevents chart clutter while maintaining relevant zones
● Probability-Based Wyckoff Detection: Mathematical probability calculations for spring/upthrust patterns
● Dual FVG System: Both standard and inverted Fair Value Gap detection with equilibrium analysis
🔧Core Components
● Fair Value Gap Engine: Detects standard FVGs with volume confirmation and equilibrium line analysis
● Inverted FVG Module: Advanced IFVG detection using RVI momentum filtering for inversion confirmation
● Order Block System: Institutional order block identification with customizable mitigation methods
● Wyckoff Pattern Recognition: Automated spring and upthrust detection with probability scoring
● Wick Rejection Analysis: High-probability reversal patterns based on wick-to-body ratios
● ICT Market Structure: Simplified institutional concepts with commitment tracking
🔥Key Features
● Comprehensive Pattern Detection: All major SMC concepts in one indicator with automatic identification
● Volume-Confirmed Signals: Multiple volume filters ensure only institutional-grade patterns are highlighted
● Interactive Dashboard: Real-time status display with active pattern counts and module status
● Smart Memory Management: Automatic cleanup of old patterns while preserving relevant market zones
● Full Alert System: Complete notification coverage for all pattern types and signal generations
● Customizable Display Options: Adjustable colors, transparency, and positioning for all visual elements
🎨Visualization
● Color-Coded Zones: Distinct color schemes for bullish/bearish patterns across all modules
● Dynamic Box Extensions: Automatically extending zones until mitigation or invalidation
● Equilibrium Lines: Fair Value Gap midpoint analysis with dotted line visualization
● Signal Markers: Clear spring/upthrust signals with directional arrows and probability indicators
● Dashboard Table: Professional-grade status panel with module activation and pattern counts
● Candle Coloring: Wick rejection highlighting with transparency-based visual emphasis
📖Usage Guidelines
Fair Value Gap Settings
● Days to Analyze: Default 15, Range 1-100 - Controls historical FVG detection period
● Volume Filter: Enables institutional volume confirmation for gap validity
● Min Volume Ratio: Default 1.5 - Minimum volume spike required for gap recognition
● Show Equilibrium Lines: Displays FVG midpoint analysis for precise entry targeting
Order Block Configuration
● Scan Range: Default 25 bars - Lookback period for structure break identification
● Volume Filter: Institutional volume confirmation for order block validation
● Mitigation Method: Wick or Close-based invalidation for different trading styles
● Min Volume Ratio: Default 1.5 - Volume threshold for significant order block formation
Wyckoff Analysis Parameters
● S/R Lookback: Default 20 - Support/resistance calculation period for spring/upthrust detection
● Volume Spike Multiplier: Default 1.5 - Required volume increase for pattern confirmation
● Probability Threshold: Default 0.7 - Minimum probability score for signal generation
● ATR Recovery Period: Default 5 - Price recovery calculation for pattern strength assessment
Market Structure Settings
● Auto-Detect Zones: Automatic identification of high-volume thin zones
● Proximity Threshold: Default 0.20% - Price proximity requirements for zone interaction
● Test Window: Default 20 bars - Time period for zone commitment calculation
Display Customization
● Dashboard Position: Four corner options for optimal chart layout
● Text Size: Scalable from Tiny to Large for different screen configurations
● Pattern Colors: Full customization of all bullish and bearish zone colors
✅Best Use Cases
● Swing Trading: Identify major institutional zones for multi-day position entries
● Day Trading: Precise intraday entries at Fair Value Gaps and Order Block boundaries
● Trend Analysis: Market structure confirmation for directional bias establishment
● Risk Management: Clear invalidation levels provided by all pattern boundaries
● Multi-Timeframe Analysis: Works across all timeframes from 1-minute to monthly charts
⚠️Limitations
● Market Condition Dependency: Performance varies between trending and ranging market environments
● Volume Data Requirements: Requires accurate volume data for optimal pattern confirmation
● Lagging Nature: Some patterns confirmed after initial price movement has begun
● Pattern Density: High-volatility markets may generate excessive pattern signals
● Educational Tool: Requires understanding of smart money concepts for effective application
💡What Makes This Unique
● Complete SMC Integration: First indicator to combine all major smart money concepts comprehensively
● Real-Time Dashboard: Instant visual feedback on all active institutional patterns
● Advanced Volume Analysis: Multi-layered volume confirmation across all detection modules
● Probability-Based Signals: Mathematical approach to Wyckoff pattern recognition accuracy
● Professional Memory Management: Sophisticated pattern cleanup without losing market relevance
🔬How It Works
1. Pattern Detection Phase:
● Multi-timeframe scanning for institutional footprints across all enabled modules
● Volume analysis integration confirms patterns meet institutional trading criteria
● Real-time pattern validation ensures only high-probability setups are displayed
2. Signal Generation Process:
● Automated zone creation with precise boundary definitions for each pattern type
● Dynamic extension system maintains relevance until mitigation or invalidation occurs
● Alert system activation provides immediate notification of new pattern formations
3. Dashboard Update Cycle:
● Live status monitoring tracks all active patterns and module states continuously
● Pattern count updates provide instant feedback on current market condition density
● Commitment tracking for market structure analysis shows institutional engagement levels
💡Note:
This indicator represents institutional trading concepts and should be used as part of a comprehensive trading strategy. Pattern recognition accuracy improves with understanding of smart money principles. Combine with proper risk management and multiple confirmation methods for optimal results.
Harmonic Super GuppyHarmonic Super Guppy – Harmonic & Golden Ratio Trend Analysis Framework
Overview
Harmonic Super Guppy is a comprehensive trend analysis and visualization tool that evolves the classic Guppy Multiple Moving Average (GMMA) methodology, pioneered by Daryl Guppy to visualize the interaction between short-term trader behavior and long-term investor trends. into a harmonic and phase-based market framework. By combining harmonic weighting, golden ratio phasing, and multiple moving averages, it provides traders with a deep understanding of market structure, momentum, and trend alignment. Fast and slow line groups visually differentiate short-term trader activity from longer-term investor positioning, while adaptive fills and dynamic coloring clearly illustrate trend coherence, expansion, and contraction in real time.
Traditional GMMA focuses primarily on moving average convergence and divergence. Harmonic Super Guppy extends this concept, integrating frequency-aware harmonic analysis and golden ratio modulation, allowing traders to detect subtle cyclical forces and early trend shifts before conventional moving averages would react. This is particularly valuable for traders seeking to identify early trend continuation setups, preemptive breakout entries, and potential trend exhaustion zones. The indicator provides a multi-dimensional view, making it suitable for scalping, intraday trading, swing setups, and even longer-term position strategies.
The visual structure of Harmonic Super Guppy is intentionally designed to convey trend clarity without oversimplification. Fast lines reflect short-term trader sentiment, slow lines capture longer-term investor alignment, and fills highlight compression or expansion. The adaptive color coding emphasizes trend alignment: strong green for bullish alignment, strong red for bearish, and subtle gray tones for indecision. This allows traders to quickly gauge market conditions while preserving the granularity necessary for sophisticated analysis.
How It Works
Harmonic Super Guppy uses a combination of harmonic averaging, golden ratio phasing, and adaptive weighting to generate its signals.
Harmonic Weighting : Each moving average integrates three layers of harmonics:
Primary harmonic captures the dominant cyclical structure of the market.
Secondary harmonic introduces a complementary frequency for oscillatory nuance.
Tertiary harmonic smooths higher-frequency noise while retaining meaningful trend signals.
Golden Ratio Phase : Phases of each harmonic contribution are adjusted using the golden ratio (default φ = 1.618), ensuring alignment with natural market rhythms. This reduces lag and allows traders to detect trend shifts earlier than conventional moving averages.
Adaptive Trend Detection : Fast SMAs are compared against slow SMAs to identify structural trends:
UpTrend : Fast SMA exceeds slow SMA.
DownTrend : Fast SMA falls below slow SMA.
Frequency Scaling : The wave frequency setting allows traders to modulate responsiveness versus smoothing. Higher frequency emphasizes short-term moves, while lower frequency highlights structural trends. This enables adaptation across asset classes with different volatility characteristics.
Through this combination, Harmonic Super Guppy captures micro and macro market cycles, helping traders distinguish between transient noise and genuine trend development. The multi-harmonic approach amplifies meaningful price action while reducing false signals inherent in standard moving averages.
Interpretation
Harmonic Super Guppy provides a multi-dimensional perspective on market dynamics:
Trend Analysis : Alignment of fast and slow lines reveals trend direction and strength. Expanding harmonics indicate momentum building, while contraction signals weakening conditions or potential reversals.
Momentum & Volatility : Rapid expansion of fast lines versus slow lines reflects short-term bullish or bearish pressure. Compression often precedes breakout scenarios or volatility expansion. Traders can quickly gauge trend vigor and potential turning points.
Market Context : The indicator overlays harmonic and structural insights without dictating entry or exit points. It complements order blocks, liquidity zones, oscillators, and other technical frameworks, providing context for informed decision-making.
Phase Divergence Detection : Subtle divergence between harmonic layers (primary, secondary, tertiary) often signals early exhaustion in trends or hidden strength, offering preemptive insight into potential reversals or sustained continuation.
By observing both structural alignment and harmonic expansion/contraction, traders gain a clear sense of when markets are trending with conviction versus when conditions are consolidating or becoming unpredictable. This allows for proactive trade management, rather than reactive responses to lagging indicators.
Strategy Integration
Harmonic Super Guppy adapts to various trading methodologies with clear, actionable guidance.
Trend Following : Enter positions when fast and slow lines are aligned and harmonics are expanding. The broader the alignment, the stronger the confirmation of trend persistence. For example:
A fast line crossover above slow lines with expanding fills confirms momentum-driven continuation.
Traders can use harmonic amplitude as a filter to reduce entries against prevailing trends.
Breakout Trading : Periods of line compression indicate potential volatility expansion. When fast lines diverge from slow lines after compression, this often precedes breakouts. Traders can combine this visual cue with structural supports/resistances or order flow analysis to improve timing and precision.
Exhaustion and Reversals : Divergences between harmonic components, or contraction of fast lines relative to slow lines, highlight weakening trends. This can indicate liquidity exhaustion, trend fatigue, or corrective phases. For example:
A flattening fast line group above a rising slow line can hint at short-term overextension.
Traders may use these signals to tighten stops, take partial profits, or prepare for contrarian setups.
Multi-Timeframe Analysis : Overlay slow lines from higher timeframes on lower timeframe charts to filter noise and trade in alignment with larger market structures. For example:
A daily bullish alignment combined with a 15-minute breakout pattern increases probability of a successful intraday trade.
Conversely, a higher timeframe divergence can warn against taking counter-trend trades in lower timeframes.
Adaptive Trade Management : Harmonic expansion/contraction can guide dynamic risk management:
Stops may be adjusted according to slow line support/resistance or harmonic contraction zones.
Position sizing can be modulated based on harmonic amplitude and compression levels, optimizing risk-reward without rigid rules.
Technical Implementation Details
Harmonic Super Guppy is powered by a multi-layered harmonic and phase calculation engine:
Harmonic Processing : Primary, secondary, and tertiary harmonics are calculated per period to capture multiple market cycles simultaneously. This reduces noise and amplifies meaningful signals.
Golden Ratio Modulation : Phase adjustments based on φ = 1.618 align harmonic contributions with natural market rhythms, smoothing lag and improving predictive value.
Adaptive Trend Scaling : Fast line expansion reflects short-term momentum; slow lines provide structural trend context. Fills adapt dynamically based on alignment intensity and harmonic amplitude.
Multi-Factor Trend Analysis : Trend strength is determined by alignment of fast and slow lines over multiple bars, expansion/contraction of harmonic amplitudes, divergences between primary, secondary, and tertiary harmonics and phase synchronization with golden ratio cycles.
These computations allow the indicator to be highly responsive yet smooth, providing traders with actionable insights in real time without overloading visual complexity.
Optimal Application Parameters
Asset-Specific Guidance:
Forex Majors : Wave frequency 1.0–2.0, φ = 1.618–1.8
Large-Cap Equities : Wave frequency 0.8–1.5, φ = 1.5–1.618
Cryptocurrency : Wave frequency 1.2–3.0, φ = 1.618–2.0
Index Futures : Wave frequency 0.5–1.5, φ = 1.618
Timeframe Optimization:
Scalping (1–5min) : Emphasize fast lines, higher frequency for micro-move capture.
Day Trading (15min–1hr) : Balance fast/slow interactions for trend confirmation.
Swing Trading (4hr–Daily) : Focus on slow lines for structural guidance, fast lines for entry timing.
Position Trading (Daily–Weekly) : Slow lines dominate; harmonics highlight long-term cycles.
Performance Characteristics
High Effectiveness Conditions:
Clear separation between short-term and long-term trends.
Moderate-to-high volatility environments.
Assets with consistent volume and price rhythm.
Reduced Effectiveness:
Flat or extremely low volatility markets.
Erratic assets with frequent gaps or algorithmic dominance.
Ultra-short timeframes (<1min), where noise dominates.
Integration Guidelines
Signal Confirmation : Confirm alignment of fast and slow lines over multiple bars. Expansion of harmonic amplitude signals trend persistence.
Risk Management : Place stops beyond slow line support/resistance. Adjust sizing based on compression/expansion zones.
Advanced Feature Settings :
Frequency tuning for different volatility environments.
Phase analysis to track divergences across harmonics.
Use fills and amplitude patterns as a guide for dynamic trade management.
Multi-timeframe confirmation to filter noise and align with structural trends.
Disclaimer
Harmonic Super Guppy is a trend analysis and visualization tool, not a guaranteed profit system. Optimal performance requires proper wave frequency, golden ratio phase, and line visibility settings per asset and timeframe. Traders should combine the indicator with other technical frameworks and maintain disciplined risk management practices.
HeatCandleHeatCandle - AOC Indicator
✨ Features
📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones.
📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds.
⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis.
🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation.
🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity.
🛠️ How to Use
Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView.
Configure Inputs:
TMA Length: Set the period for the Triangular Moving Average (default: 150).
Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0).
Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA:
Dark blue (Z0) indicates strong oversold conditions.
Red (Z19) signals strong overbought conditions.
Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA.
🎯 Why Use It?
Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance.
Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading.
Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions.
Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators.
📝 Notes
Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths.
The indicator is most effective on volatile markets where price deviations are significant.
Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies.
Happy trading! 🚀📈
Opening 15-Minute Range This triggers after the third 5-minute bar from the session open
Works on any intraday timeframe (1m, 2m, 5m, etc.).
Measured Move Volume XIndicator Description
The "Measured Move Volume X" indicator, developed for TradingView using Pine Script version 6, projects potential price targets based on the measured move concept, where the magnitude of a prior price leg (Leg A) is used to forecast a subsequent move. It overlays translucent boxes on the chart to visualize bullish (green) or bearish (red) price projections, extending them to the right for a user-specified number of bars. The indicator integrates volume analysis (relative to a simple moving average), RSI for momentum, and VWAP for price-volume weighting, combining these into a confidence score to filter entry signals, displayed as triangles on breakouts. Horizontal key level lines (large, medium, small) are drawn at significant price points derived from the measured moves, with customizable thresholds, colors, and styles. Exhaustion hints, shown as orange labels near box extremes, indicate potential reversal points. Anomalous candles, marked with diamond shapes, are identified based on volume spikes and body-to-range ratios. Optional higher timeframe candle coloring enhances context. The indicator is fully customizable through input groups for lookback periods, transparency, and signal weights, making it adaptable to various assets and timeframes.
Adjustment Tips for Optimization
To optimize the "Measured Move Volume X" indicator for specific assets or timeframes, adjust the following input parameters:
Leg A Lookback (default: 14 bars): Increase to 20-30 for volatile markets (e.g., cryptocurrencies) to capture larger price swings; decrease to 5-10 for intraday charts (e.g., stocks) for faster signals.
Extend Box to the Right (default: 30 bars): Extend to 50+ for daily or weekly charts to project further targets; shorten to 10-20 for lower timeframes to reduce clutter.
Volume SMA Length (default: 20) and Relative Volume Threshold (default: 1.5): Lower the threshold to 1.2-1.3 for low-volume assets (e.g., commodities) to detect subtler spikes; raise to 2.0+ for high-volume equities to filter noise. Match SMA length to RSI length for consistency.
RSI Parameters (default: length 14, overbought 70, oversold 30): Set overbought to 80 and oversold to 20 in trending markets to reduce premature exit signals; shorten length to 7-10 for scalping.
Key Level Thresholds (default: large 10%, medium 5%, small 5%): Increase thresholds (e.g., large to 15%) for volatile assets to focus on significant moves; disable medium or small lines to declutter charts.
Confidence Score Weights (default: volume 0.5, VWAP 0.3, RSI 0.2): Increase volume weight (e.g., 0.7) for volume-driven markets like futures; emphasize RSI (e.g., 0.4) for momentum-focused strategies.
Anomaly Detection (default: volume multiplier 1.5, small body ratio 0.2, large body ratio 0.75): Adjust the volume multiplier higher for stricter anomaly detection in noisy markets; fine-tune body-to-range ratios based on asset-specific candle patterns.
Use TradingView’s replay feature to test adjustments on historical data, ensuring settings suit the chosen market and timeframe.
Tips for Using the Indicator
Interpreting Signals: Green upward triangles indicate bullish breakout entries when price exceeds the prior high with a confidence score ≥40; red downward triangles signal bearish breakouts. Use these to identify potential entry points aligned with the projected box targets.
Box Projections: Bullish boxes project upward targets (top of box) equal to the prior leg’s height added to the breakout price; bearish boxes project downward. Monitor price action near box edges for target completion or reversal.
Exhaustion Hints: Orange labels near box tops (bullish) or bottoms (bearish) suggest potential exhaustion when price deviates within the set percentage (default: 5%) and RSI or volume conditions are met. Use these as cues to watch for reversals.
Key Level Lines: Large, medium, and small lines mark significant price levels from box tops/bottoms. Use these as potential support/resistance zones, especially when drawn with high volume (colored differently).
Anomaly Candles: Orange diamonds highlight candles with unusual volume/body characteristics, indicating potential reversals or pauses. Combine with box levels for context.
Higher Timeframe Coloring: Enable to color bars based on higher timeframe candle closures (e.g., 1, 2, 5, or 15 minutes) for added trend context.
Customization: Toggle "Only Show Bullish Moves" to focus on bullish setups. Adjust transparency and line styles for visual clarity. Test settings to balance signal frequency and chart readability.
Inputs: Organized into groups (e.g., "Measured Move Settings") using input.int, input.float, input.color, and input.bool for user customization, with tooltips for clarity.
Calculations: Computes relative volume (ta.sma(volume, volLookback)), VWAP (ta.vwap(hlc3)), RSI (ta.rsi(close, rsiLength)), and prior leg extremes (ta.highest/lowest) using prior bar data ( ) to prevent repainting.
Boxes and Lines: Creates boxes (box.new) for bullish/bearish projections and lines (line.new) for key levels. The f_addLine function manages line arrays (array.new_line), capping at maxLinesCount to avoid clutter.
Confidence Score: Combines volume, VWAP distance, and RSI into a weighted score (confScore), filtering entries (≥40). Rounded for display.
Exhaustion Hints: Functions like f_plotBullExitHint assess price deviation, RSI, and volume decrease, using label.new for dynamic orange labels.
Entry Signals and Plots: plotshape displays triangles for breakouts; plot and hline show VWAP and RSI levels; request.security handles higher timeframe coloring.
Anomaly Detection: Identifies candles with small-body high-volume or large-body average-volume patterns via ratios, plotted as diamonds.
ORB Breakout Strategy with reversalORB 1,5,15,30,60min with reversals, its my first strategy Im not 100% sure it works well. Im not a programmer nor a profitable trader.
Max stoploss in points sets maximum fixed stoploss
Stop offset sets additional points below/above signal bar
RR Ratio is pretty self explanatory, it sets target based on stoploss
American session is time when positions can be opened
ORB SessionIs basically almost the same but when the time runs it closes all positions\
ORB candle timeframe is the time which orb is measured
Enable reverse position enables reversing positions on stoploss of first position, stoploss of reverse position is based on max stoploss and target is set by RR times max stoploss
Im sharing this to share this with my friends, discuss some things and dont have to test it manually.
I made it all myself and with help of AI
Sorry for bad english
Market Bias [Mario]Indicator Description: Market Bias
Core Objective and Philosophy
The Market Bias indicator is designed not as a simple signal generator, but as a comprehensive tool for trend analysis and directional bias assessment. Its primary purpose is to provide traders with a clear, at-a-glance understanding of the market's direction across multiple timeframes. By visualizing the alignment of trends, it helps traders make more informed decisions, ensuring they are trading in harmony with the broader market momentum rather than against it. This is a tool for strategic positioning, not for providing blind buy or sell commands.
How It Works: The Core Mechanic
The indicator's logic is based on the relationship between two configurable moving averages (MAs): a Fast MA (defaulting to a 9-period EMA) and a Slow MA (defaulting to a 21-period SMA). The market bias on any given timeframe is determined as follows:
Bullish Bias: When the Fast MA is trading above the Slow MA, it indicates positive, upward momentum.
Bearish Bias: When the Fast MA is trading below the Slow MA, it indicates negative, downward momentum.
Users have full control to customize the type (SMA, EMA, WMA, etc.) and length of each moving average to fit their specific trading style and the asset being analyzed.
Key Feature: The Higher Timeframe (HTF) Bias Table
This is the most powerful feature of the indicator and its main reason for existence. It displays a simple, color-coded table in the corner of the chart, showing the real-time bias for the Daily (D), 4-Hour (4H), and 1-Hour (1H) timeframes.
Purpose: The HTF table solves a critical problem for traders: losing sight of the bigger picture. A trader on a 15-minute chart might see a setup to go long, but if the 4H and Daily charts are strongly bearish, that trade is fighting a powerful current and has a lower probability of success.
Application: By checking this table, a trader can instantly verify if their intended trade direction is aligned with the higher timeframe trends. The ideal scenario is "confluence," where the bias is the same across all key timeframes (e.g., D, 4H, and 1H are all Bullish), giving the trader a strong conviction to only look for long entries.
On-Chart Visual Aids
To support the analysis on the current chart, the indicator provides several visual aids:
Moving Average Plots: Both the Fast and Slow MAs are drawn directly on the chart, allowing traders to see their interaction with price in real-time.
Color-Coded Bars: To make the current trend immediately obvious, the chart's price bars can be colored. Green bars signify a bullish bias (Fast > Slow), while red bars signify a bearish bias (Fast < Slow).
Crossover Markers (Optional): While the indicator is not a signal provider, it can optionally display "Buy" (up arrow) and "Sell" (down arrow) markers when the MAs cross. These should not be interpreted as direct trade signals. Instead, they serve as alerts that the market momentum may be shifting on the current timeframe. They are best used as points of interest or for confirming a thesis that is already supported by the HTF bias.
Summary
In essence, the Market Bias indicator is a decision-support tool. It encourages a disciplined, top-down approach to trading.
Use the HTF Table first to establish your strategic directional bias for the day or week.
Use the on-chart MAs and colored bars to analyze the trend on your preferred trading timeframe.
Use the optional crossover markers only as a final confirmation or timing tool, ensuring they align with the dominant bias established by the higher timeframes.
Volume SMA with Multiple Overlays in Separate PaneVolume plays a pivotal role in our trading. Stock market price movements are randam until and unless same is supported by volume. Voulme is the only leding indicator and can track instituitional activity.
This indicator analyses volume to indentify unsual volumes in the market. it draws there sma lines of last 1200 barrs as follows:
1. sma of 1200 bars represented by blue
2. sma of 1200 bars multiplied by 15, represented by red
3. sma of 1200 bars multiplied by 20, represented by black.
The clor codes and line width can be modified.
Market Order Risk CalculatorObviously the Long/Short Position tool does this, but when you are scalping, 10 - 15 seconds matters. What matters more than that is defined risk, you dont want your losses being scattered, 300 here 145 there, you want consistent risk to have consistent data.
What this does is when you are framing a trade, it provides a hands off tool that tells you exactly how many contracts to enter with, that way if you have bracket orders on, your stop will be exactly where you want it to be without going over your defined risk.
Information Flow Analysis[b🔄 Information Flow Analysis: Systematic Multi-Component Market Analysis Framework
SYSTEM OVERVIEW AND ANALYTICAL FOUNDATION
The Information Flow Kernel - Hybrid combines established technical analysis methods into a unified analytical framework. This indicator systematically processes three distinct data streams - directional price momentum, volume-weighted pressure dynamics, and intrabar development patterns - integrating them through weighted mathematical fusion to produce statistically normalized market flow measurements.
COMPREHENSIVE MATHEMATICAL FRAMEWORK
Component 1: Directional Flow Analysis
The directional component analyzes price momentum through three mathematical vectors:
Price Vector: p = C - O (intrabar directional bias)
Momentum Vector: m = C_t - C_{t-1} (bar-to-bar velocity)
Acceleration Vector: a = m_t - m_{t-1} (momentum rate of change)
Directional Signal Integration:
S_d = \text{sgn}(p) \cdot |p| + \text{sgn}(m) \cdot |m| \cdot 0.6 + \text{sgn}(a) \cdot |a| \cdot 0.3
The signum function preserves directional information while absolute values provide magnitude weighting. Coefficients create a hierarchy emphasizing intrabar movement (100%), momentum (60%), and acceleration (30%).
Final Directional Output: K_1 = S_d \cdot w_d where w_d is the directional weight parameter.
Component 2: Volume-Weighted Pressure Analysis
Volume Normalization: r_v = \frac{V_t}{\overline{V_n}} where \overline{V_n} represents the n-period simple moving average of volume.
Base Pressure Calculation: P_{base} = \Delta C \cdot r_v \cdot w_v where \Delta C = C_t - C_{t-1} and w_v is the velocity weighting factor.
Volume Confirmation Function:
f(r_v) = \begin{cases}
1.4 & \text{if } r_v > 1.2 \
0.7 & \text{if } r_v < 0.8 \
1.0 & \text{otherwise}
\end{cases}
Final Pressure Output: K_2 = P_{base} \cdot f(r_v)
Component 3: Intrabar Development Analysis
Bar Position Calculation: B = \frac{C - L}{H - L} when H - L > 0 , else B = 0.5
Development Signal Function:
S_{dev} = \begin{cases}
2(B - 0.5) & \text{if } B > 0.6 \text{ or } B < 0.4 \
0 & \text{if } 0.4 \leq B \leq 0.6
\end{cases}
Final Development Output: K_3 = S_{dev} \cdot 0.4
Master Integration and Statistical Normalization
Weighted Component Fusion: F_{raw} = 0.5K_1 + 0.35K_2 + 0.15K_3
Sensitivity Scaling: F_{master} = F_{raw} \cdot s where s is the sensitivity parameter.
Statistical Normalization Process:
Rolling Mean: \mu_F = \frac{1}{n}\sum_{i=0}^{n-1} F_{master,t-i}
Rolling Standard Deviation: \sigma_F = \sqrt{\frac{1}{n}\sum_{i=0}^{n-1} (F_{master,t-i} - \mu_F)^2}
Z-Score Computation: z = \frac{F_{master} - \mu_F}{\sigma_F}
Boundary Enforcement: z_{bounded} = \max(-3, \min(3, z))
Final Normalization: N = \frac{z_{bounded}}{3}
Flow Metrics Calculation:
Intensity: I = |z|
Strength Percentage: S = \min(100, I \times 33.33)
Extreme Detection: \text{Extreme} = I > 2.0
DETAILED INPUT PARAMETER SPECIFICATIONS
Sensitivity (0.1 - 3.0, Default: 1.0)
Global amplification multiplier applied to the master flow calculation. Functions as: F_{master} = F_{raw} \cdot s
Low Settings (0.1 - 0.5): Enhanced precision for subtle market movements. Optimal for low-volatility environments, scalping strategies, and early detection of minor directional shifts. Increases responsiveness but may amplify noise.
Moderate Settings (0.6 - 1.2): Balanced sensitivity for standard market conditions across multiple timeframes.
High Settings (1.3 - 3.0): Reduced sensitivity to minor fluctuations while emphasizing significant flow changes. Ideal for high-volatility assets, trending markets, and longer timeframes.
Directional Weighting (0.1 - 1.0, Default: 0.7)
Controls emphasis on price direction versus volume and positioning factors. Applied as: K_{1,weighted} = K_1 \times w_d
Lower Values (0.1 - 0.4): Reduces directional bias, favoring volume-confirmed moves. Optimal for ranging markets where momentum may generate false signals.
Higher Values (0.7 - 1.0): Amplifies directional signals from price vectors and acceleration. Ideal for trending conditions where directional momentum drives price action.
Velocity Weighting (0.1 - 1.0, Default: 0.6)
Scales volume-confirmed price change impact. Applied in: P_{base} = \Delta C \times r_v \times w_v
Lower Values (0.1 - 0.4): Dampens volume spike influence, focusing on sustained pressure patterns. Suitable for illiquid assets or news-sensitive markets.
Higher Values (0.8 - 1.0): Amplifies high-volume directional moves. Optimal for liquid markets where volume provides reliable confirmation.
Volume Length (3 - 20, Default: 5)
Defines lookback period for volume averaging: \overline{V_n} = \frac{1}{n}\sum_{i=0}^{n-1} V_{t-i}
Short Periods (3 - 7): Responsive to recent volume shifts, excellent for intraday analysis.
Long Periods (13 - 20): Smoother averaging, better for swing trading and higher timeframes.
DASHBOARD SYSTEM
Primary Flow Gauge
Bilaterally symmetric visualization displaying normalized flow direction and intensity:
Segment Calculation: n_{active} = \lfloor |N| \times 15 \rfloor
Left Fill: Bearish flow when N < -0.01
Right Fill: Bullish flow when N > 0.01
Neutral Display: Empty segments when |N| \leq 0.01
Visual Style Options:
Matrix: Digital blocks (▰/▱) for quantitative precision
Wave: Progressive patterns (▁▂▃▄▅▆▇█) showing flow buildup
Dots: LED-style indicators (●/○) with intensity scaling
Blocks: Modern squares (■/□) for professional appearance
Pulse: Progressive markers (⎯ to █) emphasizing intensity buildup
Flow Intensity Visualization
30-segment horizontal bar graph with mathematical fill logic:
Segment Fill: For i \in : filled if \frac{i}{29} \leq \frac{S}{100}
Color Coding System:
Orange (S > 66%): High intensity, strong directional conviction
Cyan (33% ≤ S ≤ 66%): Moderate intensity, developing bias
White (S < 33%): Low intensity, neutral conditions
Extreme Detection Indicators
Circular markers flanking the gauge with state-dependent illumination:
Activation: I > 2.0 \land |N| > 0.3
Bright Yellow: Active extreme conditions
Dim Yellow: Normal conditions
Metrics Display
Balance Value: Raw master flow output ( F_{master} ) showing absolute directional pressure
Z-Score Value: Statistical deviation ( z_{bounded} ) indicating historical context
Dynamic Narrative System
Context-sensitive interpretation based on mathematical thresholds:
Extreme Flow: I > 2.0 \land |N| > 0.6
Moderate Flow: 0.3 < |N| \leq 0.6
High Volatility: S > 50 \land |N| \leq 0.3
Neutral State: S \leq 50 \land |N| \leq 0.3
ALERT SYSTEM SPECIFICATIONS
Mathematical Trigger Conditions:
Extreme Bullish: I > 2.0 \land N > 0.6
Extreme Bearish: I > 2.0 \land N < -0.6
High Intensity: S > 80
Bullish Shift: N_t > 0.3 \land N_{t-1} \leq 0.3
Bearish Shift: N_t < -0.3 \land N_{t-1} \geq -0.3
TECHNICAL IMPLEMENTATION AND PERFORMANCE
Computational Architecture
The system employs efficient calculation methods minimizing processing overhead:
Single-pass mathematical operations for all components
Conditional visual rendering (executed only on final bar)
Optimized array operations using direct calculations
Real-Time Processing
The indicator updates continuously during bar formation, providing immediate feedback on changing market conditions. Statistical normalization ensures consistent interpretation across varying market regimes.
Market Applicability
Optimal performance in liquid markets with consistent volume patterns. May require parameter adjustment for:
Low-volume or after-hours sessions
News-driven market conditions
Highly volatile cryptocurrency markets
Ranging versus trending market environments
PRACTICAL APPLICATION FRAMEWORK
Market State Classification
This indicator functions as a comprehensive market condition assessment tool providing:
Trend Analysis: High intensity readings ( S > 66% ) with sustained directional bias indicate strong trending conditions suitable for momentum strategies.
Reversal Detection: Extreme readings ( I > 2.0 ) at key technical levels may signal potential trend exhaustion or reversal points.
Range Identification: Low intensity with neutral flow ( S < 33%, |N| < 0.3 ) suggests ranging market conditions suitable for mean reversion strategies.
Volatility Assessment: High intensity without clear directional bias indicates elevated volatility with conflicting pressures.
Integration with Trading Systems
The normalized output range facilitates integration with automated trading systems and position sizing algorithms. The statistical basis provides consistent interpretation across different market conditions and asset classes.
LIMITATIONS AND CONSIDERATIONS
This indicator combines established technical analysis methods and processes historical data without predicting future price movements. The system performs optimally in liquid markets with consistent volume patterns and may produce false signals in thin trading conditions or during news-driven market events. This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Users should combine this analysis with proper risk management, position sizing, and additional confirmation methods before making any trading decisions. Past performance does not guarantee future results.
Note: The term "kernel" in this context refers to modular calculation components rather than mathematical kernel functions in the formal computational sense.
As quantitative analyst Ralph Vince noted: "The essence of successful trading lies not in predicting market direction, but in the systematic processing of market information and the disciplined management of probability distributions."
— Dskyz, Trade with insight. Trade with anticipation.
ORB + SMA + EMA + BUY/SELL by yuvaraj ORB (Opening Range Breakout)
Meaning:
ORB stands for Opening Range Breakout.
It is a trading strategy where you watch the price movement for the first few minutes after the market opens (for example, 9:15 – 9:30 AM in India).
You mark the high and low during this period.
If price goes above the high, it signals a possible buy (long trade).
If price goes below the low, it signals a possible sell (short trade).
Why traders use it:
First few minutes decide the market direction.
Helps catch early momentum trades.
Very popular for intraday traders (Nifty, BankNifty, Crude Oil, etc.).
Example:
Market opens at 9:15.
First 5 minutes: High = 100, Low = 95.
If price moves above 100 → Buy.
If price moves below 95 → Sell.
📌 SMA (Simple Moving Average)
Meaning:
SMA stands for Simple Moving Average.
It is the average closing price of a stock over a certain number of candles.
Example:
SMA 9 → Average price of last 9 candles.
SMA 50 → Average price of last 50 candles.
Why traders use it:
Shows trend direction.
SMA going up → Uptrend, SMA going down → Downtrend.
You can use multiple SMAs (for example SMA 9 and SMA 50):
If SMA 9 crosses above SMA 50 → Buy signal.
If SMA 9 crosses below SMA 50 → Sell signal.
🔑 Key Difference:
Feature ORB SMA
Type Strategy (price breakout) Indicator (average price)
Use Entry trigger for trades Identifies trend direction
Works Best Intraday (first minutes) Any timeframe (intraday or swing)
Plots ORB High/Low lines for the first few minutes
Plots SMA 9/50/180 & EMA 20
Plots trailing stopline + Buy/Sell arrows
Optional bar color / background color toggle
Alert conditions for Buy/Sell
ORB high/low lines
SMA 9/50/180 + EMA 20
Buy/Sell arrows + trailing stopline
Trend-Strong Candle - 3 EMAs with Filters# Trend-Strong Candle - Professional Trading Indicator
## 📊 What It Does
Identifies high-probability entries by combining triple EMA trend analysis with strong candle detection. Only signals when all conditions align for maximum accuracy.
## 🎯 Core Features
- Triple EMA System: Fast (20) / Medium (50) / Slow (200) for trend confirmation
- Strong Candle Filter: ATR-based sizing ensures genuine momentum
- Advanced Filters: EMA close validation + trend stability checks
- Live Alerts: Instant notifications for real-time signals
- Session Filter: Trade only during active EU/US market hours
## ⚡ Quick Setup
Scalping (1-5min): Default settings + enable session filter
Day Trading (15-60min): Default settings work perfectly
Swing Trading (4H+): Increase ATR multiplier to 0.8-1.0
## 📈 Trading Rules
Long Signals: Green triangle below candle
- Strong bullish candle during confirmed uptrend
- All EMAs properly aligned (Fast > Medium > Slow)
Short Signals: Red triangle above candle
- Strong bearish candle during confirmed downtrend
- All EMAs properly aligned (Fast < Medium < Slow)
## ⚠️ Critical Success Factors
1. Always Verify the Trend Yourself
The indicator helps identify signals, but YOU must confirm the larger trend context. Check higher timeframes and overall market structure before entering.
2. Understand the "Big Players"
Strong candles in trend direction usually come from institutional money (banks, funds, algorithms). These create the momentum that retail traders can follow. The indicator catches these institutional moves.
3. Distance to Next Value Level
NEVER enter if price is too close to major resistance/support levels:
- Check distance to round numbers (1.1000, 1.1050, etc.)
- Ensure at least 20-30 pips room to next key level
- You need space for profit - tight levels = limited upside
4. Risk Management
- Stop Loss: 1-2 ATR from entry
- Take Profit: 2-3 ATR target (minimum 1:2 R/R)
- Position Size: Risk max 1-2% per trade
## 💡 Pro Tips
- Best Sessions: London open (8-12 UTC) and NY open (13-17 UTC)
- Avoid: Major news, low liquidity periods, choppy markets
- Multiple Timeframes: Confirm signals on higher timeframe
- Value Levels: Always check daily/weekly support/resistance before entering
## 🎯 Success Formula
Trend Confirmation + Strong Institutional Candle + Distance to Value Levels = High Probability Trade
*
Remember: The indicator finds the signals, but successful trading requires your analysis of trend context and value level positioning. Trade smart, not just frequent.
Bias + VWAP Pullback — v4 (PA + BOS/CHOCH)Simple idea: I identify the trend (bias) from the larger timeframe, and only trade pullbacks to the VWAP/EMA during liquidity (London/New York). When the trend is clear, gold moves strongly, and its pullbacks to the balance lines provide clear opportunities.
Timeframe and Sessions (Cairo Time)
Analysis: H1 to determine the trend.
Implementation: 5m (or 1m if professional).
Trading window:
London Opening: 10:00–12:30
New York Opening: 16:30–19:00
(avoid the rest of the day unless there is exceptional traffic).
Direction determination (BIAS)
On H1:
If the price is above the 200 EMA and the daily VWAP is bullish and the price is above it → uptrend (long-only).
If the price is below the 200 EMA and the daily VWAP is bearish and the price is below it → bearish trend (short-only).
Determine your levels: yesterday's high/low (PDH/PDL) + approximate Asia range (03:00–09:30).
Entry Rules (Setup A: Trend Continuation)
Asia range breakout towards Bias during liquidity window.
Wait for a withdrawal to:
Daily VWAP, or
EMA50 on 5m frame (best if both cross).
Confirmation: Confirmation low/high on 5m (HL buy/LH sell) + clear impulse candle (Body is greater than average of last 10 candles).
Entry:
Buy: When the price returns above VWAP/EMA50 with a confirmation candle close.
Sell: The exact opposite.
Stop Loss (SL): Below/above the last confirmation low/high or ATR(14, 5m) x 1.5 (largest).
Objectives:
TP1 = 1R (Close 50% and move the rest Break-even).
TP2 = 2.5R to 3R or at an important HTF level (PDH/PDL/Bid/Demand Zone).
Entry Rules (Setup B: Reversion to VWAP – “Mean Reversion”)
Use with extreme caution, once daily maximum:
Price deviation from VWAP by more than ~1.5 x ATR(14, 5m) with rejection candles appearing near PDH/PDL.
Reverse entry towards the return of VWAP.
SL small behind rejection top/bottom.
Main target: VWAP. (Don't get greedy — this scenario is for extended periods only.)
News Filtering and Risk Management
Avoid trading 15–30 minutes before/after strong US news (CPI, NFP, FOMC).
Maximum daily loss: 1.5–2% of account balance.
Risk per trade: 0.25–0.5% (if you are learning) or 0.5–1% (if you are experienced).
Do not exceed two consecutive losing trades per day.
Don't chase the market after the opportunity has passed — wait for the next pullback.
Smart Deal Management
After TP1: Move stop to entry point + trail the rest with EMA20 on 5m or ATR Trailing = ATR(14)×1.0.
If the price touches a strong daily level (PDH/PDL) and fails to break, consider taking additional profit.
If VWAP starts to flatten and breaks against the trend on H1, stop trading for the day.
Quick Checklist (Before Entry)
H1 trend is clear and consistent with 200EMA + VWAP.
Penetrating the Asia range towards Bias.
Clean pull to VWAP/EMA50 on 5m.
Confirmation candle and real push.
SL is logical (behind swing/ATR×1.5) and R :R ≥ 1:2.
No red news coming soon.
Example of "ready-made" settings
EMA: 20, 50, 200 on 5m, 200 only on H1.
VWAP: Daily (reset daily).
ATR: 14 on 5m.
Levels: PDH/PDL + Asia Band (03:00–09:30 Cairo).
Gold Notes
Gold is fast and sharp at the open; don't get in early — wait for the draw.
Fakeouts are common before news: it is best to call with the trend after the price returns above/below VWAP.
Don't expect 80% consistent wins every day — the advantage comes from discipline, filtering out bad days, and only withdrawing when you're on the right track.
تعتبر شركة الماسة الألمانية أحد المؤسسات العاملة بالمملكة العربية السعودية ولها تاريخ طويل من الخدمات الكثيرة والمتنوعة التى مازالت تقدمها للكثير من العملاء داخل جميع مدن وأحياء المملكة حيث نقدم أفضل ما لدينا من خلال مجموعة الشركات التالية والتي من خلالها ستتلقي كل ما تحتاج إلية في كل المجال المختلفة فنحن نعمل منذ عام 2015 ولنا سابقات اعمال فى مختلف المجالات الحيوية التى نخدم من خلالها عملائنا ونوفر لهم أرخص الأسعار وبأعلى جودة من الممكن توفرها فى المجالات التالية :-
خدمات تنظيف المنازل والفلل والشقق
خدمات عزل الخزانات تنظيف غسيل صيانة اصلاح
خدمات جلي البلاط والرخام والسيراميك
خدمات نقل العفش عمالة فلبينية مدربة
خدمات مكافحة الحشرات بجدة
كل هذة الخدمات وأكثر نوفرها لكل المتعاقدين بأفضل الطرق مع توفير خطط وبرامج متنوعة لأتمام العمل المسنود إلينا بأفضل وأحدث الطرق الحديثة والعصرية سواء فى شركات النظافة بجدة ومكة المكرمة أو شركات نقل العفش بجدة عمالة فلبينية وباقى الخدمات مثل جلي وتلميع الرخام بمكة وجدة ولا ننسي شركة مكافحة حشرات بجدة التى ساعدت آلاف المواطنين على تنظيف منازلهم من الحشرات بأفضل مبيدات حشرية.
ATR Future Movement Range Projection
The "ATR Future Movement Range Projection" is a custom TradingView Pine Script indicator designed to forecast potential price ranges for a stock (or any asset) over short-term (1-month) and medium-term (3-month) horizons. It leverages the Average True Range (ATR) as a measure of volatility to estimate how far the price might move, while incorporating recent momentum bias based on the proportion of bullish (green) vs. bearish (red) candles. This creates asymmetric projections: in bullish periods, the upside range is larger than the downside, and vice versa.
The indicator is overlaid on the chart, plotting horizontal lines for the projected high and low prices for both timeframes. Additionally, it displays a small table in the top-right corner summarizing the projected prices and the percentage change required from the current close to reach them. This makes it useful for traders assessing potential targets, risk-reward ratios, or option strategies, as it combines volatility forecasting with directional sentiment.
Key features:
- **Volatility Basis**: Uses weekly ATR to derive a stable daily volatility estimate, avoiding noise from shorter timeframes.
- **Momentum Adjustment**: Analyzes recent candle colors to tilt projections toward the prevailing trend (e.g., more upside if more green candles).
- **Time Horizons**: Fixed at 1 month (21 trading days) and 3 months (63 trading days), assuming ~21 trading days per month (excluding weekends/holidays).
- **User Adjustable**: The ATR length/lookback (default 50) can be tweaked via inputs.
- **Visuals**: Green/lime lines for highs, red/orange for lows; a semi-transparent table for quick reference.
- **Limitations**: This is a probabilistic projection based on historical volatility and momentum—it doesn't predict direction with certainty and assumes volatility persists. It ignores external factors like news, earnings, or market regimes. Best used on daily charts for stocks/ETFs.
The indicator doesn't generate buy/sell signals but helps visualize "expected" ranges, similar to how implied volatility informs option pricing.
### How It Works Step-by-Step
The script executes on each bar update (typically daily timeframe) and follows this logic:
1. **Input Configuration**:
- ATR Length (Lookback): Default 50 bars. This controls both the ATR calculation period and the candle count window. You can adjust it in the indicator settings.
2. **Calculate Weekly ATR**:
- Fetches the ATR from the weekly timeframe using `request.security` with a length of 50 weeks.
- ATR measures average price range (high-low, adjusted for gaps), representing volatility.
3. **Derive Daily ATR**:
- Divides the weekly ATR by 5 (approximating 5 trading days per week) to get an equivalent daily volatility estimate.
- Example: If weekly ATR is $5, daily ATR ≈ $1.
4. **Define Projection Periods**:
- 1 Month: 21 trading days.
- 3 Months: 63 trading days (21 × 3).
- These are hardcoded but based on standard trading calendar assumptions.
5. **Compute Base Projections**:
- Base projection = Daily ATR × Days in period.
- This gives the total expected movement (range) without direction: e.g., for 3 months, $1 daily ATR × 63 = $63 total range.
6. **Analyze Candle Momentum (Win Rate)**:
- Counts green candles (close > open) and red candles (close < open) over the last 50 bars (ignores dojis where close == open).
- Total colored candles = green + red.
- Win rate = green / total colored (as a fraction, e.g., 0.7 for 70%). Defaults to 0.5 if no colored candles.
- This acts as a simple momentum proxy: higher win rate implies bullish bias.
7. **Adjust Projections Asymmetrically**:
- Upside projection = Base projection × Win rate.
- Downside projection = Base projection × (1 - Win rate).
- This skews the range: e.g., 70% win rate means 70% of the total range allocated to upside, 30% to downside.
8. **Calculate Projected Prices**:
- High = Current close + Upside projection.
- Low = Current close - Downside projection.
- Done separately for 1M and 3M.
9. **Plot Lines**:
- 3M High: Solid green line.
- 3M Low: Solid red line.
- 1M High: Dashed lime line.
- 1M Low: Dashed orange line.
- Lines extend horizontally from the current bar onward.
10. **Display Table**:
- A 3-column table (Projection, Price, % Change) in the top-right.
- Rows for 1M High/Low and 3M High/Low, color-coded.
- % Change = ((Projected price - Close) / Close) × 100.
- Updates dynamically with new data.
The entire process repeats on each new bar, so projections evolve as volatility and momentum change.
### Examples
Here are two hypothetical examples using the indicator on a daily chart. Assume it's applied to a stock like AAPL, but with made-up data for illustration. (In TradingView, you'd add the script to see real outputs.)
#### Example 1: Bullish Scenario (High Win Rate)
- Current Close: $150.
- Weekly ATR (50 periods): $10 → Daily ATR: $10 / 5 = $2.
- Last 50 Candles: 35 green, 15 red → Total colored: 50 → Win Rate: 35/50 = 0.7 (70%).
- Base Projections:
- 1M: $2 × 21 = $42.
- 3M: $2 × 63 = $126.
- Adjusted Projections:
- 1M Upside: $42 × 0.7 = $29.4 → High: $150 + $29.4 = $179.4 (+19.6%).
- 1M Downside: $42 × 0.3 = $12.6 → Low: $150 - $12.6 = $137.4 (-8.4%).
- 3M Upside: $126 × 0.7 = $88.2 → High: $150 + $88.2 = $238.2 (+58.8%).
- 3M Downside: $126 × 0.3 = $37.8 → Low: $150 - $37.8 = $112.2 (-25.2%).
- On the Chart: Green/lime lines skewed higher; table shows bullish % changes (e.g., +58.8% for 3M high).
- Interpretation: Suggests stronger potential upside due to recent bullish momentum; useful for call options or long positions.
#### Example 2: Bearish Scenario (Low Win Rate)
- Current Close: $50.
- Weekly ATR (50 periods): $3 → Daily ATR: $3 / 5 = $0.6.
- Last 50 Candles: 20 green, 30 red → Total colored: 50 → Win Rate: 20/50 = 0.4 (40%).
- Base Projections:
- 1M: $0.6 × 21 = $12.6.
- 3M: $0.6 × 63 = $37.8.
- Adjusted Projections:
- 1M Upside: $12.6 × 0.4 = $5.04 → High: $50 + $5.04 = $55.04 (+10.1%).
- 1M Downside: $12.6 × 0.6 = $7.56 → Low: $50 - $7.56 = $42.44 (-15.1%).
- 3M Upside: $37.8 × 0.4 = $15.12 → High: $50 + $15.12 = $65.12 (+30.2%).
- 3M Downside: $37.8 × 0.6 = $22.68 → Low: $50 - $22.68 = $27.32 (-45.4%).
- On the Chart: Red/orange lines skewed lower; table highlights larger downside % (e.g., -45.4% for 3M low).
- Interpretation: Indicates bearish risk; might prompt protective puts or short strategies.
#### Example 3: Neutral Scenario (Balanced Win Rate)
- Current Close: $100.
- Weekly ATR: $5 → Daily ATR: $1.
- Last 50 Candles: 25 green, 25 red → Win Rate: 0.5 (50%).
- Projections become symmetric:
- 1M: Base $21 → Upside/Downside $10.5 each → High $110.5 (+10.5%), Low $89.5 (-10.5%).
- 3M: Base $63 → Upside/Downside $31.5 each → High $131.5 (+31.5%), Low $68.5 (-31.5%).
- Interpretation: Pure volatility-based range, no directional bias—ideal for straddle options or range trading.
In real use, test on historical data: e.g., if past projections captured actual moves ~68% of the time (1 standard deviation for ATR), it validates the volatility assumption. Adjust the lookback for different assets (shorter for volatile cryptos, longer for stable blue-chips).
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use
Copy the Code: Copy the script above.
Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.”
Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes).
Check for Errors: Verify no errors appear in the Pine Editor console.
Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase).
Verify Signals:
Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend).
Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend).
Green/red background highlights for signal candles.
Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown.
Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Troubleshooting
If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues.
Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0.
Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5.
Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
Complexity v3.2Complex Trend Analyzer v6.1 v3.2
Advanced multi-indicator trend analysis with dynamic timeframe adaptation!
Overview:
This sophisticated indicator combines multiple technical analysis tools for comprehensive trend analysis. It features EMA crossovers, RSI momentum, MACD signals, Bollinger Bands, volume analysis, divergence detection, and multi-timeframe analysis with dynamic parameter adaptation based on market volatility.
Key Features:
✅ Multi-Indicator Analysis - EMA, RSI, MACD, Bollinger Bands, Volume, ATR
✅ Divergence Detection - Bullish and bearish divergence with strength calculation
✅ Dynamic Timeframe Adaptation - Parameters adjust automatically based on timeframe
✅ Trend Tracking - Complete trend lifecycle with BUY/SELL/END signals
✅ Multi-Timeframe Analysis - M5, M15, M30 trend comparison
✅ Risk Management - Volatility filtering and warning system
✅ Visual Clarity - Clean labels, trend lines, and information table
How It Works:
The indicator uses a weighted scoring system:
• EMA (2.0) - Primary trend direction
• RSI (1.5) - Momentum confirmation
• MACD (1.5) - Trend momentum
• Bollinger Bands (1.0) - Volatility context
• Volume (1.0) - Volume confirmation
• Price Action (0.5 each) - Higher highs/lows
Signal Logic:
• BUY - Weighted score > threshold + filters passed
• SELL - Weighted score > threshold + filters passed
• END - Trend reversal conditions met
Visual Elements:
• 🟢 BUY - Green label with trend tracking
• 🔴 SELL - Red label with trend tracking
• ⚫ END - Gray label marking trend end
• × BUY - Green crosses for bullish divergence
• × SELL - Red crosses for bearish divergence
• ⚠️ - Warning signals for trend reversals
Information Table:
Real-time display showing:
• ATR volatility with signal (HIGH/MED/LOW/NORMAL VOL)
• Divergence status with strength percentage
• BUY/SELL signal count and overall signal
• Multi-Timeframe analysis (M5, M15, M30)
• Current trend with strength percentage
• Detailed trend strength analysis
Dynamic Adaptation:
Parameters automatically adjust based on timeframe:
• M1 - Fastest reaction (1.5-7.5 bars)
• M3 - Quick response (2-10 bars)
• M5 - Standard setting (3-15 bars)
• M15 - Slower, more reliable (4-20 bars)
Settings:
• EMA - Fast (9), Slow (21), Trend (50)
• RSI - Length (14), Overbought (70), Oversold (30)
• MACD - Fast (12), Slow (26), Signal (9)
• Bollinger Bands - Length (20), Multiplier (2.0)
• ATR - Length (14) for volatility measurement
• Volume Threshold - 1.5x average volume
Best Practices:
🎯 Works best in trending markets
📊 Use as overlay on main chart
⚡ Combine with price action analysis
🛡️ Always use proper risk management
🔍 Watch for divergence signals
⚠️ Pay attention to warning signals
Pro Tips:
• Green background = Strong uptrend, Red background = Strong downtrend
• Orange background = Risk zone (high volatility/RSI extremes)
• × marks indicate divergence opportunities
• ⚠️ warnings signal potential trend reversals
• Use multi-timeframe analysis for confirmation
• Monitor the information table for comprehensive market view
Alerts:
• BUY Alert - "BUY signal detected"
• SELL Alert - "SELL signal detected"
• Divergence Alert - "Divergence detected"
• Warning Alert - "Trend warning"
Version 3.2 Improvements:
• Enhanced multi-indicator analysis
• Improved divergence detection with strength calculation
• Advanced dynamic timeframe adaptation
• Comprehensive risk management system
• Professional visual presentation
• Weighted scoring system for better accuracy
Created with ❤️ for the trading community
This indicator is free to use for both commercial and non-commercial purposes.
Multiplied and Divided Moving Average ### Multiplied and Divided Moving Average Indicator
**Description**:
The "Multiplied and Divided Moving Average" indicator is a customizable tool for TradingView users, designed to create dynamic bands around a user-selected moving average (MA). It calculates a moving average (SMA, EMA, WMA, VWMA, or RMA) and generates a user-defined number of lines above and below it by multiplying and dividing the MA by linearly spaced factors. These bands serve as potential support and resistance levels, aiding in trend identification, mean reversion strategies, or breakout detection. Optional Buy/Sell labels appear when the price crosses below the divided MAs (Buy) or above the multiplied MAs (Sell), providing clear visual cues for trading opportunities.
**Key Features**:
- **Flexible MA Types**: Choose from Simple (SMA), Exponential (EMA), Weighted (WMA), Volume-Weighted (VWMA), or Running (RMA) moving averages.
- **Customizable Bands**: Set the number of lines (0–10) above and below the MA, allowing tailored analysis for any market or timeframe.
- **Dynamic Factors**: Bands are created using factors that scale linearly from 1 to a user-defined maximum (default: 5.0), creating intuitive overbought/oversold zones.
- **Buy/Sell Signals**: Optional labels highlight potential entry (Buy) and exit (Sell) points when the price crosses the bands.
- **Clear Visuals**: The main MA is plotted in blue, with green (multiplied) and red (divided) lines using graduated transparency for easy differentiation.
**Inputs**:
- **MA Type**: Select the moving average type (default: SMA).
- **MA Length**: Set the MA period (default: 14).
- **Number of Lines Above/Below**: Choose how many bands to plot above and below the MA (default: 4, range: 0–10).
- **Max Factor**: Define the largest multiplier/divisor for the outermost bands (default: 5.0).
- **Source**: Select the price data for the MA (default: close).
- **Show Buy/Sell Labels**: Enable or disable Buy/Sell labels (default: true).
**How It Works**:
1. Calculates the chosen moving average based on user inputs.
2. Creates up to 10 lines above the MA (e.g., MA × 2, ×3, ×4, ×5 for `numLines=4`, `maxFactor=5`) and 10 below (e.g., MA ÷ 2, ÷3, ÷4, ÷5).
3. Plots the main MA in blue, multiplied lines in green, and divided lines in red, with transparency increasing for outer bands.
4. If enabled, displays "Buy" labels when the price crosses below any divided MA and "Sell" labels when it crosses above any multiplied MA, positioned at the outermost band.
**Use Cases**:
- **Trend Analysis**: Use the bands as dynamic support/resistance to confirm trend direction or reversals.
- **Mean Reversion**: Identify overbought (near multiplied MAs) or oversold (near divided MAs) conditions.
- **Breakout Trading**: Monitor price crossovers of the outermost bands for potential breakout signals.
- **Signal Confirmation**: Use Buy/Sell labels for swing trading or to complement other indicators.
**How to Use**:
1. Copy the script into TradingView’s Pine Editor.
2. Compile and apply it to your chart (e.g., stocks, forex, crypto).
3. Adjust inputs like `numLines`, `maxFactor`, or `maType` to fit your strategy.
4. Enable `Show Buy/Sell Labels` to visualize trading signals.
5. Test on various timeframes (e.g., 1H, 4H, 1D) and assets to optimize settings.
**Example Settings**:
- **Swing Trading**: Use `numLines=3`, `maxFactor=4`, `maType=EMA`, `maLength=20` on a 4-hour chart.
- **Intraday**: Try `numLines=2`, `maxFactor=3`, `maType=SMA`, `maLength=10` on a 15-minute chart.
**Notes**:
- **Performance**: Supports up to 20 bands (10 above, 10 below), staying within TradingView’s 64-plot limit.
- **False Signals**: In choppy markets, frequent crossovers may occur. Combine with trend filters (e.g., ADX, higher-timeframe MA) to reduce noise.
- **Enhancements**: Add alerts via TradingView’s alert system for Buy/Sell signals, or experiment with different `maxFactor` values for volatility.
**Limitations**:
- Bands are reactive, as they’re based on a moving average, so confirm signals with other indicators.
- High `numLines` values may clutter the chart; use 2–4 for clarity.
- Signals may lag in fast-moving markets due to the MA’s smoothing effect.
This indicator is perfect for traders seeking a customizable, visually clear tool to enhance technical analysis on TradingView. For support, feature requests (e.g., alerts, custom colors), or community discussion, visit TradingView’s forums or contact the script author.
Chanpreet RSI(3) Extreme Rays (4H, Adjustable Style)Chanpreet RSI(3) Extreme Rays (4H)
This indicator applies a short-length RSI (3) on the 4-hour timeframe and highlights momentum extremes directly on the chart.
🔎 What it does
Detects when RSI(3) moves into overbought (>80) or oversold (<20) territory.
Groups consecutive candles inside these zones into one “event” instead of marking each bar individually.
For each event:
• In overbought → records the highest high of the stretch and marks it with a horizontal ray.
• In oversold → records the lowest low of the stretch and marks it with a horizontal ray.
Keeps only the most recent N rays (default 5, adjustable).
⚙️ Inputs
Max Rays to Keep → how many unique events are kept visible.
Ray Thickness → adjust line thickness.
Overbought Ray Color → default red.
Oversold Ray Color → default green.
📈 How to use
Apply on any chart; RSI(3) values are always calculated from 4H data (via request.security).
Use rays as reference levels that highlight recent momentum extremes or exhaustion zones.
This is not a buy/sell signal by itself — combine with your own analysis, confirmation tools, and risk management.
Best Recommended time frame is 5 mins, 10 mins & 15 mins for intraday trading.
🧩 Unique features
Groups multiple bars into a single clean ray, reducing clutter.
Uses 4H RSI(3) regardless of the chart’s active timeframe.
Fully customizable appearance (colors, thickness, max events).
⚠️ Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice or guarantee performance.
Always test thoroughly and use proper risk management before trading live.
Custom Time Range HighlightThis indicator highlights specific time ranges on your TradingView chart with customizable background colors and labels, making it easier to identify key trading sessions and ICT (Inner Circle Trader) Killzones. It is designed for traders who want to mark important market hours, such as major sessions (Asia, New York, London) or high-volatility Killzones, with full control over activation, timing, colors, and transparency.
Features
Customizable Time Ranges: Define up to 9 different time ranges, including one custom range, three major market sessions (Asia, New York, London), and five ICT Killzones (Asia, NY Open, NY Close, London Open, London Close).
Individual Activation: Enable or disable each time range independently via checkboxes in the settings. By default, only the ICT Killzones are active.
Custom Colors and Transparency: Set unique background and label colors for each range, with adjustable transparency for both.
Labeled Time Ranges: Each active range is marked with a customizable label at the start of the period, displayed above the chart for easy identification.
Priority Handling: If multiple ranges overlap, the range with the higher number (e.g., Asia Killzone over Custom Range) determines the background color.
CET Time Zone: Time ranges are based on Central European Time (CET, Europe/Vienna). Adjust the hours and minutes to match your trading needs.
Settings
The indicator settings are organized into three groups for clarity:
Custom Range: A flexible range (default: 15:30–18:00 CET) for user-defined periods.
Session - Asia, NY, London: Major market sessions (Asia: 01:00–10:00, New York: 14:00–23:00, London: 09:00–18:00 CET).
ICT Killzones - Asia, NY, London: High-volatility periods (NY Open: 13:00–16:00, NY Close: 20:00–23:00, London Open: 08:00–11:00, London Close: 16:00–18:00, Asia: 02:00–05:00 CET).
For each range, you can:
Toggle activation (default: only ICT Killzones enabled).
Adjust start and end times (hours and minutes).
Customize the label text.
Choose background and label colors with transparency levels (0–100).
How to Use
Add the indicator to your chart.
Open the settings to enable/disable specific ranges, adjust their times, or customize colors and labels.
The chart will highlight active time ranges with the selected background colors and display labels at the start of each range.
Use it to focus on key trading periods, such as ICT Killzones for high-probability setups or major sessions for market analysis.
Notes
Ensure your time ranges align with your trading instrument’s session times.
Overlapping ranges prioritize higher-numbered ranges (e.g., Asia Killzone overrides London Session).
Ideal for day traders, scalpers, or ICT strategy followers who need clear visual cues for specific market hours.
Feedback
If you have suggestions for improvements or need help with customization, feel free to leave a comment or contact the author!
