OA - RS HistogramOA - RS Histogram Indicator
This indicator displays a histogram representation of Relative Strength (RS) analysis, helping traders visualize the momentum relationship between a security and a reference index.
Key Features:
RS Histogram: Shows the difference between the current RS ratio and its EMA smoothed line
Customizable Reference Index: Default set to XU100, but can be changed to any index
EMA Smoothing: Adjustable EMA period (default 21) for trend analysis
Visual Clarity: Histogram bars are colored aqua for positive values and purple for negative values
Zero Line Reference: Dotted gray line for easy identification of positive/negative zones
How It Works:
The indicator calculates the relative strength by comparing the normalized percentage changes of the current security against the selected reference index. A 5-period EMA is applied to the RS ratio, and then the difference between this smoothed RS line and a longer EMA (default 21 periods) is displayed as a histogram.
Technical Calculation:
Fetches reference index data with proper gap handling
Calculates normalized percentage changes for both security and index
Computes relative strength ratio
Applies EMA smoothing to reduce noise
Displays the difference as a histogram for clear momentum visualization
Customization Options:
Reference index selection (default: XU100)
EMA length adjustment (default: 21 periods)
Color customization for positive and negative histogram bars
Alert Conditions:
Histogram crossing above zero (potential bullish momentum shift)
Histogram crossing below zero (potential bearish momentum shift)
Usage:
This tool helps traders understand relative strength concepts through visual histogram representation. The zero-line crossovers can indicate momentum shifts in the security relative to the chosen benchmark index.
Analisi trend
Staccked SMA - Regime Switching & Persistance StatisticsThis indicator is designed to identify the prevailing market regime by analyzing the behavior of a "stack" of Simple Moving Averages (SMAs). It helps you understand whether the market is currently trending, mean-reverting, or moving randomly.
Core Concept: SMA Correlation
At its heart, the indicator examines the relationship between a set of nine SMAs with different lengths (3, 5, 8, 13, 21, 34, 55, 89, 144) and the lengths themselves.
In a strong trending market (either up or down), the SMAs will be neatly "stacked" in order of their length. The shortest SMA will be furthest from the longest SMA, creating a strong, almost linear visual pattern. When we measure the statistical correlation between the SMA values and their corresponding lengths, we get a value close to +1 (perfect uptrend stack) or -1 (perfect downtrend stack). The absolute value of this correlation will be very high (close to 1).
In a mean-reverting or sideways market, the SMAs will be tangled and crisscrossing each other. There is no clear order, and the relationship between an SMA's length and its price value is weak. The correlation will be close to 0.
This indicator calculates this Pearson correlation on every bar, giving a continuous measure of how ordered or "trendy" the SMAs are. An absolute correlation above 0.8 is considered strongly trending, while a value between 0.4 and 0.8 suggests a mean-reverting character. Below 0.4, the market is likely random or choppy.
Regime Classification and Statistics
The indicator doesn't just look at the current correlation; it analyzes its behavior over a user-defined lookback window (default is 252 bars) to classify the overall market "regime."
It presents its findings in a clear table:
📊 |SMA Correlation| Regime Table: This main table provides a snapshot of the current market character.
Median: Shows the median absolute correlation over the lookback period, giving a central tendency of the market's behavior.
% > 0.80: The percentage of time the market was in a strong trend during the lookback period.
% < 0.80 & > 0.40: The percentage of time the market showed mean-reverting characteristics.
🧠 Regime: The final classification. It's labeled "📈 Trend-Dominant" if the median correlation is high and it has spent a significant portion of the time trending. It's labeled "🔄 Mean-Reverting" if the median is in the middle range and it has spent significant time in that state. Otherwise, it's considered "⚖️ Random/ Choppy".
📐 Regime Significance: This tells you how statistically confident you can be in the current regime classification, using a Z-score to compare its occurrence against random chance. ⭐⭐⭐ indicates high confidence (99%), while "❌ Not Significant" means the pattern could be random.
Regime Transition Probabilities
Optionally, a second table can be displayed that shows the historical probability of the market transitioning from one regime to another over different time horizons (t+5, t+10, t+15, and t+20 bars).
📈 → 🔄 → ⚖️ Transition Table: This table answers questions like, "If the market is trending now (From: 📈), what is the probability it will be mean-reverting (→ 🔄) in 10 bars?"
This provides powerful insights into the market's cyclical nature, helping you anticipate future behavior based on past patterns. For example, you might find that after a period of strong trending, a transition to a choppy state is more likely than a direct switch to a mean-reverting
Indicator Settings
Lookback Window for Regime Classification: This sets the number of recent bars (default is 252) the script analyzes to determine the current market regime (Trending, Mean-Reverting, or Random). A larger number provides a more stable, long-term view, while a smaller number makes the classification more sensitive to recent price action.
Show Regime Transition Table: A simple toggle (on/off) to show or hide the table that displays the probabilities of the market switching from one regime to another.
Lookback Offset for Starting Regime: This determines the "starting point" in the past for calculating regime transitions. The default is 20 bars ago. The script looks at the regime at this point and then checks what it became at later points.
Step 1, 2, 3, 4 Offset (bars): These define the future time intervals (5, 10, 15, and 20 bars by default) for the transition probability table. For example, the script checks the regime at the "Lookback Offset" and then sees what it transitioned to 5, 10, 15, and 20 bars later.
Significance Filter Settings
Use Regime Significance Filter: When enabled, this filter ensures that the regime transition statistics only count transitions that were "statistically significant." This helps to filter out noise and focus on more reliable patterns.
Min Stars Required (1=90%, 2=95%, 3=99%): This sets the minimum confidence level required for a regime to be included in the transition statistics when the significance filter is on.
1 ⭐: Requires at least 90% confidence.
2 ⭐⭐: Requires at least 95% confidence (default).
3 ⭐⭐⭐: Requires at least 99% confidence.
Price Ranged FVG📌 Price Ranged FVG
Is a clean and efficient tool designed to detect Fair Value Gaps (FVGs) with adjustable filters and structural context. It’s especially useful for traders looking to filter out insignificant gaps and focus on high-probability areas, particularly around swing breaks or structural shifts.
🧠 What is a Fair Value Gap (FVG)?
A Fair Value Gap appears when there’s a price imbalance between candles — typically after a strong move — where the market skips over certain price levels without trading there. These zones can act as potential areas for price to return to (mean reversion), or serve as support/resistance depending on market structure.
🔍 FVG Detection Types
You can choose between three different detection modes under the "FVG Detection" input:
Same Type: Only detects FVGs where the last 3 candles are in the same direction (all bullish or all bearish).
All: Detects any FVG, regardless of candle direction.
Twin Close: Detects FVGs only when the last two candles are in the same direction and close accordingly — offering a stricter confirmation.
🎯 FVG % Filters
To filter out noise or insignificant gaps, this indicator includes:
Minimum FVG % Filter: Ignores FVGs smaller than your specified percentage of the current close.
Maximum FVG % Filter: Ignores overly large gaps that may be unreliable or caused by anomalies.
These filters help focus on relevant FVGs that are more likely to act as reaction zones.
🏛 Structural Context (Swing Highs and Lows)
The indicator plots swing highs and swing lows with dots to provide structure-based context:
Set Swing Strength to 3 for detecting internal structure (shorter-term moves).
Use a higher setting like 5 to focus on external structure (more significant highs/lows).
These levels can help you determine whether an FVG is forming within a consolidation, breakout, or key structural transition.
✅ Use Case (My Personal Workflow)
I personally use this indicator to:
Filter out weak or irrelevant FVGs using the % filters.
Watch for price interaction at swing breaks — especially when an FVG aligns with a break in internal or external structure.
Refine entry and exit planning in confluence with other tools or strategies.
⚠️ Disclaimer
This indicator is not financial advice. It is a technical analysis tool intended to support your own decision-making process. Always do your own research and risk management.
GalihRidha ZoneX — Adaptive MTF S&R + Smart Money AreasWelcome to ZoneX: The new frontier of Support & Resistance for modern traders!
ZoneX is more than just S&R — it’s a hybrid price map that fuses classic pivots with institutional logic, visualizing the zones that really matter.
What Makes ZoneX Different?
Multi-Timeframe S&R:
Instantly spot the true key levels from higher timeframes, not just what everyone else sees on the current chart.
Smart Money Order Blocks:
Automatically highlights supply and demand zones where institutions accumulate or distribute — find the real “trap” areas and avoid getting faked out.
VWAP Bands:
See where the liquidity is thickest — these bands act as magnets for price, great for both reversals and breakouts.
Midline Channel:
Identify the market’s equilibrium — know when you’re in value and when you’re at the edge.
Previous High/Low:
Mark institutional magnets and classic stop-hunt zones, updated in real-time.
Ultra Customizable:
One-click to enable/disable any feature. Clean for minimalists, packed for pros.
How to Use ZoneX
Breakout?
Wait for price to clear a ZoneX band or order block with momentum — enter on the retest.
Reversal?
Fade wicks and exhaustion right in the highlighted zone — confirm with price action or volume.
Range/Balance?
Trade the ping-pong between ZoneX midline and outer bands — great for scalping and mean reversion.
Who’s It For?
Active traders who want an edge beyond standard S&R.
Institutional-mindset scalpers and swing traders.
Anyone who loves a clean chart but craves real market context.
Level up your chart, see what the big players see —
and never trade blind again. This is ZoneX.
AV BTC Pi Cycle OscillatorPi Cycle Oscillator
The oscillator version of the Pi Cycle Top Indicator. While I have found great differences in scales being used for the oscillator across various sources. The shape of the oscillator line is on the other hand the same across the board. With 2 specific versions. Either using the 111 Day SMA or the 2*350 SMA for division.
We allow for both versions. It is possible to select the formula for calculation on the input tab.
Either using (111 SMA - 2*350 SMA) / 111 SMA (default) or (111 SMA - 2*350 SMA) / 2*350 SMA .
We multiply the result by -100 so that overbought conditions fall at the top of the indicator chart and oversold at the bottom. Everyone has their own idea of the value range. This is no different.
For both formulas around 0 is overbought zone, while -200 and -70 are oversold areas. Thresholds are configurable in the input tab. I made an arbitrary choice for the thresholds.
If you want to see overbought and oversold areas on the price chart: Enable the Overbought and oversold Overlay area in the style tab. It is disabled by default.
Additionally: Pi Cycle Tops are marked with a red circle. ATH tops are marked with yellow diamonds. Grey lines marks halving days.
Buy Sell Magic Rework
A version of the legendary Forex indicator Buy Sell Magic for TradingView, with optional additional filtering in the settings.
A simple yet very effective trend-following tool — I personally used it for trading gold 14 years ago, and it still works great today!
✅ Subscribe to my profile to get new useful Pine Script tools soon!
💡 Want a custom version?
I can build private Pine Script indicators & strategies tailored exactly for you — scalping signals, trend or reversal strategies, custom filters for crypto, forex, stocks, or any pairs you trade.
I can also improve or fix your existing scripts.
If you want a unique, high-quality and profitable tool — contact me anytime!
📩 Telegram 👉 t.me
Higher High Lower Low Multi-TF📊 Higher High Lower Low Multi-Timeframe Indicator
Detects market structure shifts (HH, HL, LH, LL)
Identifies trend direction (bullish / bearish / neutral)
Works across multiple timeframes (M5 to Weekly)
Displays a compact trend summary table on the chart
Customizable pivot sensitivity (Left/Right Bars)
Visual labels on chart for structure points
Ideal for structure-based trading and SMC traders
MTF Trend + SMC Structure (EMA/SMA Mix - HH/HL)Objective
To provide a quick, visual, and reliable reading of market trends and structure.
Combines dynamic moving averages and SMC (market structure) logic.
Effectively integrates into the chart via a clear table displayed in the top right corner.
📊 What the indicator displays (by timeframe: M5, M15, M30, H1, H4, D1, W1)
🟢 1. MA Trend
Based on two moving averages (short and long).
Average Type:
EMA for M5 to M30 (reactive)
SMA for H1 to Weekly (smoother)
Display:
🟢 Up if short MA > long MA
🔴 Down if short MA < long MA
Customizable lengths per timeframe
🧱 2. Structure (SMC logic)
Detects Higher High / Higher Low and Lower High / Lower Low
Based on significant pivots (pivothigh, pivotlow)
Logic inspired by SMC swing trading
Display:
🟢 Up = bullish structure (HH + HL)
🔴 Down = bearish structure (LH + LL)
⚪ Neutral = no clear structure
✅ Advantages
🔍 Instant view of the overall multi-timeframe context
📉 Combines trend by MA and SMC structure
🎯 Helps filter out bad entries Countertrend
⚡️ Very useful for intraday, swing, or SMC traders
AI Dynamic Fib Tool V1.0📌 Description
ND EĞİTİM – AI Auto Fibonacci is a next-generation Fibonacci indicator that goes beyond static levels. It automatically determines optimal lookback periods based on market conditions such as volatility, volume, trend strength, momentum, and RSI positioning. Using this data, it dynamically identifies Higher High (HH) and Lower Low (LL) levels and draws multi-layered adaptive Fibonacci levels.
Unlike traditional indicators that rely on fixed periods, this script simulates an AI-like decision engine by incorporating:
Volatility (ATR-based)
Momentum (ROC + RSI deviation)
Volume activity (volume vs. average volume)
Trend strength (EMA + MACD crossover)
Bollinger Band width
These are synthesized into a “Market Score”, which guides the system’s behavior.
🧠 AI-Like Adaptive Calculation Logic
The indicator behaves like a basic machine learning agent that adapts to changing market environments:
In low volatility, it extends the historical window for broader context.
In high-volume, high-trend scenarios, it shortens the lookback for faster reactions.
This reduces noise and increases relevancy compared to fixed-period methods.
⚙️ How It Works
Calculates Optimal Lookback Period:
A “market score” is derived from volatility, trend momentum, RSI bias, volume ratio, and BB width.
This score adjusts the lookback window between 15 and 100 bars.
Detects HH and LL:
Finds most recent Higher High and Lower Low within the optimal window.
These act as anchors for Fibonacci levels.
Draws Fibonacci Zones:
Classic levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%
Dynamic extensions: -61.8%, -38.2%, 14.6%, 9.1%, depending on market score
Displays a Detailed Info Panel:
Shows current trend (Bullish, Bearish, Sideways)
Volatility rating
HH/LL levels, age in bars, and total range
Market activity commentary
🎯 Best Use Cases
Support & Resistance Mapping:
Use Fibonacci levels to identify likely zones for pullbacks, reactions, or breakouts.
Trend Analysis:
EMA, MACD, and HH/LL cross-confirm the trend direction and strength.
Alert-Based Monitoring:
Use built-in alert conditions to track price breakouts above key Fibonacci zones (e.g., 61.8%, 127.2%).
📢 User Notes
🔹 Always apply the indicator on price charts (overlay = true).
🔹 All levels and drawings update dynamically on the last bar.
🔹 Use the “Add Alert” panel to select from pre-defined crossover/crossunder conditions for Fibonacci levels.
TIP:
When the market score is high (>0.7), the system draws extended levels and reacts faster. In quiet markets, it reduces visual clutter by only showing core zones.
💡 Key Advantages
✅ AI-inspired adaptive structure
✅ Optimal lookback logic per asset condition
✅ Clean, informative labels and lines
✅ Alarm-ready setup
✅ Suitable for both swing trading and trend analysis
📈 Developed by:
This indicator was created by ND Eğitim, a Turkey-based trading education company focused on algorithmic systems and practical technical analysis.
📌 Telegram (Free Signals): @nd_bist100_signal
📌 X (Twitter): @ndegitim
📌 Web: www.ndegitim.com
EdgeXplorer - Phantom FlowPhantom Flow by EdgeXplorer
Phantom Flow is a high-precision, visual market structure toolkit inspired by core ICT (Inner Circle Trader) concepts — including Order Blocks (OBs), Fair Value Gaps (FVGs), Market Structure Shifts (MSS), Liquidity Zones, Killzones, and Balance Price Ranges (BPRs). Designed for real-time clarity and SMC-aligned trading, this tool enhances raw ICT theory with practical execution features: extended zone logic, session filters, and pivot-sensitive rendering.
Whether you’re swing trading on HTF or scalping intraday moves in New York or London, Phantom Flow gives you a clean, structured lens through which to interpret price behavior — without clutter or noise.
⸻
🔍 What Does Phantom Flow Do?
This indicator maps out multiple price action phenomena in one system. It detects and plots:
• Order Blocks (OBs) — potential institutional footprints
• Fair Value Gaps (FVGs) — inefficiencies or imbalance zones
• Market Structure Shifts (MSS) — directional break points
• Liquidity Zones — buy-side and sell-side wick traps
• Balance Price Ranges (BPRs) — overlap zones from opposing FVGs
• Killzones (Sessions) — session-specific high-probability windows
Each element is toggleable, color-coded, and drawn directly on the chart, creating an intuitive visual environment to identify potential setups or confirm directional bias.
⸻
⚙️ How It Works – Technical Breakdown
1. Pivot Engine
Phantom Flow uses ta.pivothigh() and ta.pivotlow() with a configurable lookback period to establish reactive swing points for structure and liquidity logic.
2. Market Structure Shifts (MSS)
MSS logic checks for breaks above prior highs or below prior lows:
• If price closes above a previous pivot high, it flags a bullish MSS.
• If price closes below a previous pivot low, it flags a bearish MSS.
Each MSS is marked with a line and label at the structure break.
3. Order Blocks (OBs)
When a swing high or low is confirmed:
• A bearish OB is plotted between the open and high of the pivot bar.
• A bullish OB is plotted between the low and open of the pivot bar.
OB zones are drawn as transparent boxes that project forward several candles.
4. Fair Value Gaps (FVGs)
Imbalance zones are defined when:
• A bullish FVG occurs if the current low is above the high from two candles ago, and price closed bullish.
• A bearish FVG occurs if the current high is below the low from two candles ago, and price closed bearish.
These are visualized as boxes with “FVG” labels.
5. Balance Price Ranges (BPRs)
If both a bullish and bearish FVG overlap in the same bar:
• A gray BPR box is plotted to represent the zone where those inefficiencies cancel or compress into a range.
Useful for tracking potential accumulation or consolidation.
6. Liquidity Zones (Wick Detection)
Using ATR-based wick thresholds:
• Buy-side Liquidity is identified where long lower wicks form beneath pivot lows.
• Sell-side Liquidity is identified where long upper wicks form above pivot highs.
These zones indicate where stop hunts or liquidity grabs may occur.
7. Killzones (Sessions)
Two sessions are visualized using background colors:
• New York Killzone (default: 7:00–9:00 EST) — yellow background
• London Killzone (default: 2:00–5:00 GMT) — blue background
Sessions are dynamically aligned with your chart’s timeframe and location.
⸻
📈 What Each Visual Element Represents
Element Meaning
Green OB Box Bullish order block (potential demand zone)
Red OB Box Bearish order block (potential supply zone)
Teal FVG Box Bullish fair value gap (imbalance to the upside)
Maroon FVG Box Bearish fair value gap (imbalance to the downside)
Gray BPR Box Balance price range — compression of opposing gaps
Blue Liquidity Zone Buy-side liquidity below a swing low
Orange Liquidity Zone Sell-side liquidity above a swing high
Lime Line + Label Bullish Market Structure Shift (MSS ↑)
Fuchsia Line + Label Bearish Market Structure Shift (MSS ↓)
Yellow / Blue Background Killzone time blocks for NY or London
All shapes are bounded in time and logic — there are no arbitrary plots.
⸻
📊 Inputs & Settings Explained
Input Description
Execution Mode (Live / Backtest) Determines whether to run real-time or backtest-friendly calculations
Pivot Sensitivity (lookback) Controls how far back to look for pivots — higher values = stronger swing filters
Show MSS Toggle to display Market Structure Shift lines and labels
Show OB Toggle to display Order Block zones from swing points
Show FVG Toggle to visualize Fair Value Gaps as they appear
Show Liquidity Zones Displays wick-based buy/sell-side liquidity traps
Show BPR Zones Highlights overlapping bullish and bearish FVGs as compression zones
Show Killzones Enables session-based background highlighting for NY/London
Color Settings
Customize each visual element with transparency-controlled colors for OBs, FVGs, MSS lines, liquidity zones, and killzones.
⸻
🧠 How Traders Can Use Phantom Flow
Phantom Flow is not a signal generator. It’s a market narrative visualizer. Here’s how to integrate it into your approach:
• OB + FVG = Confluence: Look for fair value gaps forming around order blocks. These often suggest institutional entry zones.
• MSS + Liquidity = Trap Setup: Market structure shifts occurring after price taps liquidity often signal reversals or fakeouts.
• BPRs = Choke Points: If opposing FVGs compress, expect consolidation or expansion shortly after.
• Killzones = Context Windows: Use sessions to filter signal quality. For example, only trade FVGs during the London/NY overlap.
This tool works best when layered with:
• BOS/CHOCH detection
• Premium/Discount logic
• Risk-based execution models
⸻
🧪 Optional Use Case Ideas
• Intraday scalping based on NY/London killzone + MSS
• Swing trading off HTF OB + LQ zones
• Fade or trend-continuation setups using FVGs + BPR
• Combine with displacement candles or volume to validate zones
Purple Dot IndicatorDescription:
Identifies high-momentum candles using price % move + volume spike.
Purple = Combined signal | Blue = Price only | Orange = Volume only.
Created by Haseeb Badar (@HB_Stocks).
Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs.
- The Mathematical Foundation: Pointwise Mutual Information
Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context:
Event A: Volume spikes occurring (high trading activity)
Event B: Price being at specific levels
The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B)))
Where:
P(A,B) = Probability of volume spikes occurring at specific price levels
P(A) = Probability of volume spikes occurring anywhere
P(B) = Probability of price being at specific levels
High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones.
- Why PMI Outperforms Traditional Methods
Subjective interpretation: What one trader sees as significant, another might ignore
Confirmation bias: Tendency to see patterns that confirm existing beliefs
Inconsistent criteria: No standardized definition of "significant" volume or price action
Static analysis: Doesn't adapt to changing market conditions
No strength measurement: Can't quantify how "strong" a level truly is
PMI Advantages:
✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork
✅ Statistical Rigor: Levels backed by information theory and probability
✅ Strength Scoring: PMI scores rank levels by statistical significance
✅ Adaptive: Automatically adjusts to different market volatility regimes
✅ Eliminates Bias: Computer-calculated, removing human interpretation errors
✅ Market Structure Aware: Reveals the underlying order flow concentrations
- How It Works
Data Processing Pipeline:
Volume Analysis: Identifies volume spikes using configurable thresholds
Price Binning: Divides price range into discrete levels for analysis
Co-occurrence Calculation: Measures how often volume spikes happen at each price level
PMI Computation: Calculates statistical significance for each price level
Level Filtering: Shows only levels exceeding minimum PMI thresholds
Dynamic Updates: Refreshes levels periodically while maintaining historical traces
Visual System:
Current Levels: Bright, thick lines with PMI scores - your actionable levels
Historical Traces: Faded previous levels showing market structure evolution
Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted)
Color Coding: Green for support, red for resistance
Info Table: Real-time display of strongest levels with scores
- Indicator Settings:
Core Parameters
Lookback Period (Default: 200)
Lower (50-100): More responsive to recent price action, catches short-term levels
Higher (300-500): Focuses on major historical levels, more stable but less responsive
Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500)
Volume Spike Threshold (Default: 1.5)
Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected
Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals
Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3)
Price Bins (Default: 50)
Lower (20-30): Broader price zones, less precise but captures wider areas
Higher (70-100): More granular levels, precise but may be overly specific
Volatility dependent: High volatility assets benefit from more bins (70+)
Minimum PMI Score (Default: 0.5)
Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view
Higher (1.0-2.0): Only statistically strong levels, cleaner chart
Progressive filtering: Start with 0.5, increase if too cluttered
Max Levels to Show (Default: 8)
Fewer (3-5): Clean chart focusing on strongest levels only
More (10-15): Comprehensive view but may clutter chart
Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12)
Historical Tracking Settings
Update Frequency (Default: 20 bars)
Lower (5-10): More frequent updates, captures rapid market changes
Higher (50-100): Less frequent updates, focuses on major structural shifts
Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+)
Show Historical Levels (Default: True)
Enables the "breadcrumb trail" effect showing evolution of support/resistance
Disable for cleaner charts focusing only on current levels
Max Historical Marks (Default: 50)
Lower (20-30): Less memory usage, shorter history
Higher (100-200): Longer historical context but more resource intensive
Fade Strength (Default: 0.8)
Lower (0.5-0.6): Historical levels more visible
Higher (0.9-0.95): Historical levels very subtle
Visual Settings
Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level
- Most Effective Usage Strategies
For Day Trading:
Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15
Use PMI levels as bounce/rejection points for scalp entries
Higher PMI scores (>1.5) offer better probability setups
Watch for volume spike confirmations at levels
For Swing Trading:
Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30
Enter on pullbacks to high PMI support levels
Target next resistance level with PMI score >1.0
Hold through minor levels, exit at major PMI levels
For Position Trading:
Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+
Focus on PMI scores >2.0 for major structural levels
Use for portfolio entry/exit decisions
Combine with fundamental analysis for timing
- Trading Applications:
Entry Strategies:
PMI Bounce Trades
Price approaches high PMI support level (>1.0)
Wait for volume spike confirmation (orange triangles)
Enter long on bullish price action at the level
Stop loss just below the PMI level
Target: Next PMI resistance level
PMI Breakout Trades
Price consolidates near high PMI level
Volume increases (watch for orange triangles)
Enter on decisive break with volume
Previous resistance becomes new support
Target: Next major PMI level
PMI Rejection Trades
Price approaches PMI resistance with momentum
Watch for rejection signals and volume spikes
Enter short on failure to break through
Stop above the PMI level
Target: Next PMI support level
Risk Management:
Stop Loss Placement
Place stops 0.1-0.5% beyond PMI levels (adjust for volatility)
Higher PMI scores warrant tighter stops
Use ATR-based stops for volatile assets
Position Sizing
Larger positions at PMI levels >2.0 (highest conviction)
Smaller positions at PMI levels 0.5-1.0 (lower conviction)
Scale out at multiple PMI targets
- Key Warning Signs & What to Watch For
Red Flags:
🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading
🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale
🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning
🚨 Outdated Levels: Historical traces are reference only, not tradeable
Optimization Tips:
✅ Regular Recalibration: Adjust parameters monthly based on market regime changes
✅ Volume Context: Always check for recent volume activity at PMI levels
✅ Multiple Timeframes: Confirm PMI levels across different timeframes
✅ Market Conditions: Higher thresholds during high volatility periods
Interpreting PMI Scores
PMI Score Ranges:
0.5-1.0: Moderate statistical significance, proceed with caution
1.0-1.5: Good significance, reliable for most trading strategies
1.5-2.0: Strong significance, high-confidence trade setups
2.0+: Very strong significance, institutional-grade levels
Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
FutureObitz Official Bank Levels// © 2025 FutureObitz - Custom version for private use
This Bank Levels indicator automatically calculates daily high, low, mid, and premium/discount zones using dynamic ranges.
Ideal for intraday traders using supply/demand, liquidity concepts, and institutional levels. Labels are cleanly aligned and update once per day for minimal chart clutter.
This version was customized for my personal trading style and refined for visual clarity.
EdgeXplorer // Swing SequenceEdgeXplorer - Swing Sequence
Swing Sequence is an advanced structural mapping indicator designed to detect and visualize internal swing formations, sequence logic, and multi-leg transitions directly on the chart. This tool is particularly useful for traders applying Smart Money Concepts (SMC), Wyckoff theory, or Elliott-style structure recognition, where the accuracy of pivot timing, internal leg evaluation, and pattern tracking is mission-critical.
Instead of drawing arbitrary zig-zags, this indicator uses real market structure to extract and label potential bullish or bearish reversal sequences, including optional point 5 confirmations and internal double-top/double-bottom logic — all in real time.
⸻
🔍 What Does Swing Sequence Do?
Swing Sequence dynamically identifies structured pivot points and evaluates swing sequences composed of up to 6 labeled legs (A, B, 1, 2, 3, 4) and an optional 5th confirmation point. Once a valid bullish or bearish pattern is recognized based on defined structural rules, it plots:
• Pivot labels (A through 5)
• Swing zones or boxes outlining the full formation
• Optional pathlines to visualize swing flow
• Dotted projection lines for context
It also uses internal logic to detect double-point confirmations, creating a highly structured, rule-based method for visualizing potential reversals or continuations.
⸻
⚙️ How It Works – Technical Breakdown
1. Pivot Detection
The script calculates two sets of pivots:
• External Swings using Swing Pivot Length (len)
• Internal Swings using Internal Pivot Length (ilen)
Both use high/low extremities to determine directional bias (BULL or BEAR).
2. Sequence Evaluation
Once enough pivots are collected (at least six), the algorithm attempts to construct valid sequences:
• Bullish: A → B → 1 → 2 → 3 → 4 (+ optional 5)
• Bearish: A → B → 1 → 2 → 3 → 4 (+ optional 5)
Each candidate is evaluated using logical price containment, directional flow, and a unique “point 4 beyond point 2” condition (optional).
3. Double Point Logic
If enabled, the indicator looks for a second internal pivot that aligns in price proximity with point 4 (adjustable via Strict Double-Top/Bottom and ATR-based Threshold), allowing traders to require confirmation before considering a sequence valid.
4. Sequence Validation
Sequences are only plotted if:
• All structural rules are met
• There’s no overlap with a previously plotted sequence
• Optional filters (like show/hide point 5) are satisfied
⸻
📈 What You See on the Chart
Visual Purpose
Labels A–5 Marks each structural point in the sequence. Label 5 is optional.
Colored Box Encapsulates the swing structure:
• Green Box → Bullish sequence
• Red Box → Bearish sequence
Dotted Lines Horizontal projection from each swing point to end of sequence
Polyline (Path) (Optional) Connects all swing points to show flow
Auto-Coloring Box and line colors change based on bullish or bearish pattern, unless overridden
⸻
📊 Inputs & Settings Explained
Detection Settings
Input Description
Swing Pivot Length (len) Controls the lookback for external high/low pivots. Larger values = broader swings
Internal Pivot Length (ilen) Controls lookback for internal swing structure — used for validation and double-point logic
4 Beyond 2 Forces point 4 to go beyond point 2 for sequence to be valid
Show Point 5 Toggles whether point 5 is included in plotted sequences
Strict Double-Top/Bottom Enables stricter proximity matching between internal pivots (uses absolute levels vs. price containment)
Threshold Sets sensitivity of double-point matching, scaled by ATR(200) for dynamic precision
Display Settings
Input Description
Path Plots a polyline that connects all labeled points in a sequence
Boxes Toggles the shaded swing box zone
Line Color Default color for path and projection lines when auto-coloring is disabled
Auto-Color Automatically changes box and label colors based on trend direction
Show Lines Toggles horizontal dotted projection lines from each swing point
⸻
🧠 How to Read & Use Swing Sequence
Swing Sequence is a visual structural analyzer, not a signal tool. Here’s how to interpret what you see:
Bullish Sequence Example
A (high)
↓
B (low)
↓
1 → 2 → 3 → 4 (lower highs/lows)
↓
5 (double bottom)
Interpretation: Price is forming a potential reversal base. Confirmation at point 5 adds confluence for long setups.
Bearish Sequence Example
A (low)
↑
B (high)
↑
1 → 2 → 3 → 4 (higher highs/lows)
↑
5 (double top)
Interpretation: Market may be topping out. Point 5 adds structural symmetry and possible short confluence.
⸻
🧪 Use Cases & Strategy Integration
• 🔍 Smart Money Traders: Use the sequences to identify where price is structurally exhausting liquidity or forming distribution/accumulation
• 🔄 Reversal Traders: Use point 5 or sequence completion as part of your entry filter
• 🎯 Structure-Based Confirmation: Use Swing Sequence to validate bias after FVG, OB, or BOS breaks
• 📏 Target Zones: Swing boxes can define range-based targets, stop zones, or breaker levels
Alpha - Combined BreakoutThis Pine Script indicator, "Alpha - Combined Breakout," is a combination between Smart Money Breakout Signals and UT Bot Alert, The UT Bot Alert indicator was initially developer by Yo_adriiiiaan
The idea of original code belongs HPotter.
This Indicator helps you identify potential trading opportunities by combining two distinct strategies: Smart Money Breakout and a modified UT Bot (likely a variation of the Ultimate Trend Bot). It provides visual signals, draws lines for potential take profit (TP) and stop loss (SL) levels, and includes a dashboard to track performance metrics.
Tutorial:
Understanding and Using the "Alpha - Combined Breakout" Indicator
This indicator is designed for traders looking for confirmation of market direction and potential entry/exit points by blending structural analysis with a trend-following oscillator.
How it Works (General Concept)
The indicator combines two main components:
Smart Money Breakout: This part identifies significant breaks in market structure, which "smart money" traders often use to gauge shifts in supply and demand. It looks for higher highs/lows or lower highs/lows and flags when these structural points are broken.
UT Bot: This is a trend-following component that generates buy and sell signals based on price action relative to an Average True Range (ATR) based trailing stop.
You can choose to use these signals independently or combined to generate trading alerts and visual cues on your chart. The dashboard provides a quick overview of how well the signals are performing based on your chosen settings and display mode.
Parameters and What They Do
Let's break down each input parameter:
1. Smart Money Inputs
These settings control how the indicator identifies market structure and breakouts.
swingSize (Market Structure Time-Horizon):
What it does: This integer value defines the number of candles used to identify significant "swing" (pivot) points—highs and lows.
Effect: A larger swingSize creates a smoother market structure, focusing on longer-term trends. This means signals might appear less frequently and with some delay but could be more reliable for higher timeframes or broader market movements. A smaller swingSize will pick up more minor market structure changes, leading to more frequent but potentially noisier signals, suitable for lower timeframes or scalping.
Analogy: Think of it like a zoom level on your market structure map. Higher values zoom out, showing only major mountain ranges. Lower values zoom in, showing every hill and bump.
bosConfType (BOS Confirmation Type):
What it does: This string input determines how a Break of Structure (BOS) is confirmed. You have two options:
'Candle Close': A breakout is confirmed only if a candle's closing price surpasses the previous swing high (for bullish) or swing low (for bearish).
'Wicks': A breakout is confirmed if any part of the candle (including its wick) surpasses the previous swing high or low.
Effect: 'Candle Close' provides stronger, more conservative confirmation, as it implies sustained price movement beyond the structure. 'Wicks' provides earlier, more aggressive signals, as it captures momentary breaches of the structure.
Analogy: Imagine a wall. 'Candle Close' means the whole person must get over the wall. 'Wicks' means even a finger touching over the top counts as a breach.
choch (Show CHoCH):
What it does: A boolean (true/false) input to enable or disable the display of "Change of Character" (CHoCH) labels. CHoCH indicates the first structural break against the current dominant trend.
Effect: When true, it helps identify early signs of a potential trend reversal, as it marks where the market's "character" (its tendency to make higher highs/lows or lower lows/highs) first changes.
BULL (Bullish Color) & BEAR (Bearish Color):
What they do: These color inputs allow you to customize the visual appearance of bullish and bearish signals and lines drawn by the Smart Money component.
Effect: Purely cosmetic, helps with visual identification on the chart.
sm_tp_sl_multiplier (SM TP/SL Multiplier (ATR)):
What it does: A float value that acts as a multiplier for the Average True Range (ATR) to calculate the Take Profit (TP) and Stop Loss (SL) levels specifically when you're in "Smart Money Only" mode. It uses the ATR calculated by the UT Bot's nLoss_ut as its base.
Effect: A higher multiplier creates wider TP/SL levels, potentially leading to fewer trades but larger wins/losses. A lower multiplier creates tighter TP/SL levels, potentially leading to more frequent but smaller wins/losses.
2. UT Bot Alerts Inputs
These parameters control the behavior and sensitivity of the UT Bot component.
a_ut (UT Key Value (Sensitivity)):
What it does: This integer value adjusts the sensitivity of the UT Bot.
Effect: A higher value makes the UT Bot less sensitive to price fluctuations, resulting in fewer and potentially more reliable signals. A lower value makes it more sensitive, generating more signals, which can include more false signals.
Analogy: Like a noise filter. Higher values filter out more noise, keeping only strong signals.
c_ut (UT ATR Period):
What it does: This integer sets the look-back period for the Average True Range (ATR) calculation used by the UT Bot. ATR measures market volatility.
Effect: This period directly influences the calculation of the nLoss_ut (which is a_ut * xATR_ut), thus defining the distance of the trailing stop loss and take profit levels. A longer period makes the ATR smoother and less reactive to sudden price spikes. A shorter period makes it more responsive.
h_ut (UT Signals from Heikin Ashi Candles):
What it does: A boolean (true/false) input to determine if the UT Bot calculations should use standard candlestick data or Heikin Ashi candlestick data.
Effect: Heikin Ashi candles smooth out price action, often making trends clearer and reducing noise. Using them for UT Bot signals can lead to smoother, potentially delayed signals that stay with a trend longer. Standard candles are more reactive to raw price changes.
3. Line Drawing Control Buttons
These crucial boolean inputs determine which type of signals will trigger the drawing of TP/SL/Entry lines and flags on your chart. They act as a priority system.
drawLinesUtOnly (Draw Lines: UT Only):
What it does: If checked (true), lines and flags will only be drawn when the UT Bot generates a buy/sell signal.
Effect: Isolates UT Bot signals for visual analysis.
drawLinesSmartMoneyOnly (Draw Lines: Smart Money Only):
What it does: If checked (true), lines and flags will only be drawn when the Smart Money Breakout logic generates a bullish/bearish breakout.
Effect: Overrides drawLinesUtOnly if both are checked. Isolates Smart Money signals.
drawLinesCombined (Draw Lines: UT & Smart Money (Combined)):
What it does: If checked (true), lines and flags will only be drawn when both a UT Bot signal AND a Smart Money Breakout signal occur on the same bar.
Effect: Overrides both drawLinesUtOnly and drawLinesSmartMoneyOnly if checked. Provides the strictest entry criteria for line drawing, looking for strong confluence.
Dashboard Metrics Explained
The dashboard provides performance statistics based on the lines drawing control button selected. For example, if "Draw Lines: UT Only" is active, the dashboard will show stats only for UT Bot signals.
Total Signals: The total number of buy or sell signals generated by the selected drawing mode.
TP1 Win Rate: The percentage of signals where the price reached Take Profit 1 (TP1) before hitting the Stop Loss.
TP2 Win Rate: The percentage of signals where the price reached Take Profit 2 (TP2) before hitting the Stop Loss.
TP3 Win Rate: The percentage of signals where the price reached Take Profit 3 (TP3) before hitting the Stop Loss. (Note: TP1, TP2, TP3 are in order of distance from entry, with TP3 being furthest.)
SL before any TP rate: This crucial metric shows the number of times the Stop Loss was hit / the percentage of total signals where the stop loss was triggered before any of the three Take Profit levels were reached. This gives you a clear picture of how often a trade resulted in a loss without ever moving into profit target territory.
Short Tutorial: How to Use the Indicator
Add to Chart: Open your TradingView chart, go to "Indicators," search for "Alpha - Combined Breakout," and add it to your chart.
Access Settings: Once added, click the gear icon next to the indicator name on your chart to open its settings.
Choose Your Signal Mode:
For UT Bot only: Uncheck "Draw Lines: Smart Money Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: UT Only" is checked.
For Smart Money only: Uncheck "Draw Lines: UT Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: Smart Money Only" is checked.
For Combined Signals: Check "Draw Lines: UT & Smart Money (Combined)". This will override the other two.
Adjust Parameters:
Start with default settings. Observe how the signals appear on your chosen asset and timeframe.
Refine Smart Money: If you see too many "noisy" market structure breaks, increase swingSize. If you want earlier breakouts, try "Wicks" for bosConfType.
Refine UT Bot: Adjust a_ut (Sensitivity) to get more or fewer UT Bot signals. Change c_ut (ATR Period) if you want larger or smaller TP/SL distances. Experiment with h_ut to see if Heikin Ashi smoothing suits your trading style.
Adjust TP/SL Multiplier: If using "Smart Money Only" mode, fine-tune sm_tp_sl_multiplier to set appropriate risk/reward levels.
Interpret Signals & Lines:
Buy/Sell Flags: These indicate the presence of a signal based on your selected drawing mode.
Entry Line (Blue Solid): This is where the signal was generated (usually the close price of the signal candle).
SL Line (Red/Green Solid): Your calculated stop loss level.
TP Lines (Dashed): Your three calculated take profit levels (TP1, TP2, TP3, where TP3 is the furthest target).
Smart Money Lines (BOS/CHoCH): These lines indicate horizontal levels where market structure breaks occurred. CHoCH labels might appear at the first structural break against the prior trend.
Monitor Dashboard: Pay attention to the dashboard in the top right corner. This dynamically updates to show the win rates for each TP and, crucially, the "SL before any TP rate." Use these statistics to evaluate the effectiveness of the indicator's signals under your current settings and chosen mode.
*
Set Alerts (Optional): You can set up alerts for any of the specific signals (UT Bot Long/Short, Smart Money Bullish/Bearish, or the "Line Draw" combined signals) to notify you when they occur, even if you're not actively watching the chart.
By following this tutorial, you'll be able to effectively use and customize the "Alpha - Combined Breakout" indicator to suit your trading strategy.
Fibonacci Retracement Engine (DFRE) [PhenLabs]📊 Fibonacci Retracement Engine (DFRE)
Version: PineScript™ v6
📌 Description
Dynamic Fibonacci Retracement Engine (DFRE) is a sophisticated technical analysis tool that automatically detects important swing points and draws precise Fibonacci retracement levels on various timeframes. The intelligent indicator eliminates the subjectivity of manual Fibonacci drawing using intelligent swing detection algorithms combined with multi timeframe confluence analysis.
Built for professional traders who demand accuracy and consistency, DFRE provides real time Fibonacci levels that adapt to modifications in market structure without sacrificing accuracy in changing market conditions. The indicator excels at identifying key support and resistance levels where price action is more likely to react, giving traders a potent edge in entry and exit timing.
🚀 Points of Innovation
Intelligent Swing Detection Algorithm : Advanced pivot detection with customizable confirmation bars and minimum swing percentage thresholds
Multi-Timeframe Confluence Engine : Simultaneous analysis across three timeframes to identify high-probability zones
Dynamic Level Management : Automatically updates and manages multiple Fibonacci sets while maintaining chart clarity
Adaptive Visualization System : Smart labeling that shows only the most relevant levels based on user preferences
Real-Time Confluence Detection : Identifies zones where multiple Fibonacci levels from different timeframes converge
Automated Alert System : Comprehensive notifications for level breakouts and confluence zone formations
🔧 Core Components
Swing Point Detection Engine : Uses pivot high/low calculations with strength confirmation to identify significant market turns
Fibonacci Calculator : Automatically computes standard retracement levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886) plus extensions (1.272, 1.618)
Multi-Timeframe Security Function : Safely retrieves Fibonacci data from higher timeframes without repainting
Confluence Analysis Module : Mathematically identifies zones where multiple levels cluster within specified thresholds
Dynamic Drawing Management : Efficiently handles line and label creation, updates, and deletion to maintain performance
🔥 Key Features
Customizable Swing Detection : Adjust swing length (3-50 bars) and strength confirmation (1-10 bars) to match your trading style
Selective Level Display : Choose which Fibonacci levels to show, from core levels to full extensions
Multi-Timeframe Analysis : Analyze up to 3 different timeframes simultaneously for confluence identification
Intelligent Labeling System : Options to show main levels only or all levels, with latest-set-only functionality
Visual Customization : Adjustable line width, colors, and extension options for optimal chart clarity
Performance Optimization : Limit maximum Fibonacci sets (1-5) to maintain smooth chart performance
Comprehensive Alerting : Get notified on level breakouts and confluence zone formations
🎨 Visualization
Dynamic Fibonacci Lines : Color-coded lines (green for uptrends, red for downtrends) with customizable width and extension
Smart Level Labels : Precise level identification with both ratio and price values displayed
Confluence Zone Highlighting : Visual emphasis on areas where multiple timeframe levels converge
Clean Chart Management : Automatic cleanup of old drawing objects to prevent chart clutter
Responsive Design : All visual elements adapt to different chart sizes and timeframes
📖 Usage Guidelines
Swing Detection Settings
Swing Detection Length - Default: 25 | Range: 3-50 | Controls the lookback period for identifying pivot points. Lower values detect more frequent swings but may include noise, while higher values focus on major market turns.
Swing Strength (Confirmation Bars) - Default: 2 | Range: 1-10 | Number of bars required to confirm a swing point. Higher values reduce false signals but increase lag.
Minimum Swing % Change - Default: 1.0% | Range: 0.1-10.0% | Minimum percentage change required to register a valid swing. Filters out insignificant price movements.
Fibonacci Level Settings
Individual Level Toggles : Enable/disable specific Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886)
Extensions : Show projection levels (1.272, 1.618) for target identification
Multi-Timeframe Settings
Timeframe Selection : Choose three higher timeframes for confluence analysis
Confluence Threshold : Percentage tolerance for level clustering (0.5-5.0%)
✅ Best Use Cases
Swing Trading : Identify optimal entry and exit points at key retracement levels
Confluence Trading : Focus on high-probability zones where multiple timeframe levels align
Support/Resistance Trading : Use dynamic levels that adapt to changing market structure
Breakout Trading : Monitor level breaks for momentum continuation signals
Target Setting : Utilize extension levels for profit target placement
⚠️ Limitations
Lagging Nature : Requires confirmed swing points, which means levels appear after significant moves
Market Condition Dependency : Works best in trending markets; less effective in extremely choppy conditions
Multiple Signal Complexity : Multiple timeframe analysis may produce conflicting signals requiring experience to interpret
Performance Considerations : Multiple Fibonacci sets and MTF analysis may impact indicator loading time on slower devices
💡 What Makes This Unique
Automated Precision : Eliminates manual drawing errors and subjective level placement
Multi-Timeframe Intelligence : Combines analysis from multiple timeframes for superior confluence detection
Adaptive Management : Automatically updates and manages multiple Fibonacci sets as market structure evolves
Professional-Grade Alerts : Comprehensive notification system for all significant level interactions
🔬 How It Works
Step 1 - Swing Point Identification : Scans price action using pivot high/low calculations with specified lookback periods, applies confirmation logic to eliminate false signals, and calculates swing strength based on surrounding price action for quality assessment.
Step 2 - Fibonacci Level Calculation : Automatically computes retracement and extension levels between confirmed swing points, creates dynamic level sets that update as new swing points are identified, and maintains multiple active Fibonacci sets for comprehensive market analysis.
Step 3 - Multi-Timeframe Confluence : Retrieves Fibonacci data from higher timeframes using secure request functions, analyzes level clustering across different timeframes within specified thresholds, and identifies high-probability zones where multiple levels converge.
💡 Note: This indicator works best when combined with other technical analysis tools and proper risk management. The multi-timeframe confluence feature provides the highest probability setups, but always confirm signals with additional analysis before entering trades.
Zen Open - 18 Bar v2Zen Open – 18 Bar Box (RTH Study Tool)
📄 Description:
This script highlights the first 18 bars of each Regular Trading Hours (RTH) session with a visual box and optional range label. It is intended as a study aid for traders analyzing early session structure.
Features:
• Draws a box around the first 18 bars of the RTH session
• Displays the total range as a label (optional)
• Fully customizable box color and transparency
Intended Use:
This is an educational and visual analysis tool to help traders research how the RTH open influences the rest of the session.
Tight opening range may suggest range expansion
Wide opening range may indicate reduced movement or reversal risk
This script does not generate trading signals, does not offer financial advice, and does not promote any service. It is provided for discretionary study and chart analysis only.
Bullish RSI Divergencebullish rsi divergence with a bullish pin bar. look for swing positions once alert goes off.
BOR + 08:28BOR + TIME: Precision 1-Minute Opening Range Analysis
METHODOLOGY OVERVIEW
This indicator implements a proprietary time-based trading methodology that combines opening range analysis with precision timing algorithms designed exclusively for 1-minute charts during the New York trading session.
CORE ALGORITHM COMPONENTS
1. Bond Opening Range (BOR) Identification
- Captures the complete price range during 08:00-09:00 NY time
- Establishes the foundational trading range for the session
- Uses high-precision minute-level data to define exact boundaries
2. Critical Time Level Analysis (08:28 Candle)
- Identifies the 08:28-08:29 minute candle as a key reference point
- This specific timing represents a critical juncture before market open
- Captures the exact high/low range of this precise minute
3. Directional Bias Determination (09:00 Analysis)
- At exactly 09:00, compares current price position relative to 08:28 boundaries
- Above 08:28 High: Activates support-seeking mode (bullish bias)
- Below 08:28 Low: Activates resistance-seeking mode (bearish bias)
- Inside 08:28 Range: No directional bias established
4. Dynamic Standard Deviation Projections
- Uses the 08:28 candle range as the mathematical basis for standard deviation calculations
- Support Mode: Projects levels below 08:28 low using range multipliers (-1σ, -2σ, -3σ, -4σ)
- Resistance Mode: Projects levels above 08:28 high using range multipliers (+1σ, +2σ, +3σ, +4σ)
- Levels are active only during 09:00-10:30 trading window
UNIQUE FEATURES
Conditional Logic Engine
- Real-time directional switching based on 09:00 price position
- No static levels - everything adapts to intraday price action
- Eliminates noise by focusing on specific time windows
Precision Timing Requirements
- Requires exact 1-minute timeframe for accurate calculations
- Time-sensitive algorithm that relies on minute-by-minute analysis
- Optimized for high-frequency intraday trading decisions
Mathematical Framework
- Standard deviations calculated using actual candle range data
- Dynamic level spacing based on market volatility (08:28 range)
- Four-tier projection system for multiple target/stop levels
TRADING APPLICATION
Best Used For:
- ES, NQ, YM and other liquid index futures
- Active day trading during NY session (07:00-12:00)
- Scalping and short-term reversal strategies
- Intraday support/resistance identification
Signal Interpretation:
- Red lines represent potential reversal zones
- Direction determined by 09:00 vs 08:28 relationship
- Multiple standard deviation levels provide layered entry/exit points
- Time-restricted plotting ensures relevance during active trading hours
IMPORTANT REQUIREMENTS
- ONLY works on 1-minute charts - precision timing is essential
- Designed for New York trading session (futures markets)
- Most effective during high-volume trading periods
CUSTOMIZATION OPTIONS
- Toggle BOR box visibility and transparency
- Enable/disable 08:28 candle highlighting
- Adjust visual elements (colors, transparency)
- Show/hide range information labels
Enhanced Multi-Timeframe Bias Dashboard + VolatilityProvides a table that indicates the RSI, MACD and overall bias across the daily, 4 hour and 1 hour timeframes
ADX and DI – Clean Trend IndicatorADX and DI – Clean Trend Indicator helps traders identify trending conditions and the strength of a trend using the classic Average Directional Index (ADX) along with the +DI and -DI directional movement lines.
ADX (orange line) shows overall trend strength.
+DI (green line) and -DI (red line) reveal bullish or bearish pressure.
When ADX is above the threshold (default 25), the background turns green to highlight strong trending conditions — a great time to apply trend-following strategies.
This script offers:
A visually clean layout
Configurable ADX length and strength threshold
Automatic background highlighting when strong trends are detected
Use this tool to confirm market momentum, avoid sideways chop, and enhance your entry timing for breakout or pullback setups.
[GalihRidha] Scalping Dashboard 5m Scalping Dashboard 5m is a practical, real-time, and user-friendly indicator designed for 5-minute intraday scalping strategies. This indicator provides clear, actionable signals along with dynamic risk management levels, all visualized in a single vertical dashboard on your chart.
Key Features:
Actionable Next Signal:
Generates a strong, easy-to-follow trading signal ("LONG" or "SHORT") every 5 minutes, based on a multi-factor algorithm (MA20/MA50 trend, RSI, price/volume strength, candle momentum, and market structure).
Dynamic TP/SL Calculation:
Automatically displays recommended Take Profit (TP) and Stop Loss (SL) price ranges, calculated from recent price action, support/resistance, and volatility (ATR).
Vertical Dashboard Layout:
Information is neatly split between "LAST SECTION" (your most recent executed signal, TP, and SL) and "NEXT SECTION" (real-time signal, recommended TP/SL, and current price). Perfectly formatted for both desktop and mobile TradingView use.
Live "Capturing" Status:
When a new signal is forming (1 minute before candle close), the dashboard shows an animated "Capturing..." status—so you always know when the indicator is preparing the next actionable trade.
Buffered Signal Logic:
Prevents “signal repainting” by ensuring that your "Last Signal" and TP/SL levels are exactly what was shown in the previous Next Signal, never the recalculated value from a new bar. This is vital for honest backtesting and live trade confidence.
Zero Lag, Mobile Ready:
Designed to be lightweight and responsive, with instant dashboard updates and no visual lag—even on slower connections or when switching timeframes.
No repaint, no lagging, pure price action + volatility logic.
How to Use:
Add to Chart
Apply the indicator to any liquid crypto or forex pair on the 5-minute (5m) timeframe.
Watch the Dashboard
1 minute before the close of each 5-minute candle, the "Next Signal" section will activate.
"Capturing..." status (with animated dots) means a new entry signal is forming.
Use the suggested Entry, TP Range, and SL for your scalping strategy.
Follow the Signal
When "Next Signal" appears, you have 1 minute to enter the trade if desired.
After the signal passes, the values are locked into the "Last Section" for reference, record-keeping, or trade management.
Mobile Friendly
The vertical format ensures the dashboard is always visible and readable on both web and mobile versions of TradingView.
No need to manually refresh or guess when a new signal is forming—just watch for "Capturing..."!
Best Practice & Tips:
For best results, use on trending or high-volume assets. Avoid low liquidity or choppy sideways markets.
Combine with your own risk management and execution strategy for maximum performance.
This dashboard is 100% Pine Script v5, fully open-source, and does not repaint. You can customize TP/SL logic or integrate with alerts for even more automation.
Why This Indicator?
Most scalping indicators provide signals, but don't show you the real, actionable context—especially in mobile or fast-moving markets.
This dashboard solves that problem by giving you everything you need for quick, clear, and confident trading—all in one place, with true buffer logic so your entries and results are always honest and reproducible.
Happy scalping and stay disciplined—let the dashboard do the heavy lifting for you! 🚀
