Volume Up Smaller Candle Pattern2 Candle volume
lets you use the candle to highlight anomlay in th eprice action once we have indentfied this we can then think about going long and short.
インジケーターとストラテジー
Custom Time-Range Breakout with 4x EMA Filter Time-Range Breakout Monitor with 4x EMA FilterThis indicator is a powerful tool designed to capture volatility during specific market hours (like London or New York opens). It monitors a custom price range (High/Low) and tracks whether these levels are breached, using a 4x EMA ribbon as a trend filter.Key Features:Adjustable Range: Define your own start and end time (hours and minutes) to mark the session range.Breakout Tracking: The indicator visually tracks if the High or Low of the session has been taken (Broken) and displays the status in a real-time dashboard.4x EMA Ribbon: Integrated trend filter with specific color coding for quick visual confirmation.Smart Alerts: Built-in alerts for both Bullish (Up) and Bearish (Down) breakouts.EMA Color Legend (Rafał's Setup):EMA PeriodColorRoleEMA 20GrayShort-term momentumEMA 50GreenMedium-term trend confirmationEMA 100YellowIntermediate support/resistanceEMA 200RedLong-term baseline (The "Trendline")How to Use:Set the Session: Input your target range in the settings (e.g., 09:00 - 10:00).Monitor the Dashboard: The top-right table shows "TAK" (YES) or "NIE" (NO) if the levels have been breached during the current day.Confirm the Trend: * Long: Price breaks above the range AND is supported by the Green (50) and Red (200) EMAs.Short: Price breaks below the range AND is trending under the Green (50) and Red (200) EMAs.Settings:Start/End Hour & Minute: Full control over the tracked time window.Alerts: Enable "Wybicie Górą" or "Wybicie Dołem" in the TradingView Alert menu.
Super Regression Trend█ OVERVIEW
Super Regression Trend is an advanced trend-following indicator that combines classic linear regression with a SuperTrend mechanism based on RMSE (Root Mean Square Error). Instead of traditional ATR, it uses price deviations from the regression line, allowing for highly precise adaptation to current market volatility. The indicator is clean, dynamic, and equipped with optional risk management tools — automatic Take Profit and Stop Loss levels displayed after each trend reversal signal. Perfect for traders seeking solid trend confirmation with built-in position management support.
█ CONCEPT
The indicator was created to combine the advantages of linear regression (smooth trend tracking) with the reliability of the SuperTrend mechanism (trailing stop).
The key element is calculating RMSE based on deviations of the source price from the regression line over a specified period. The band around the regression (RMSE × multiplier) creates dynamic, trailing upper and lower levels. The trend changes only after price closes beyond this band — this allows the indicator to react quickly to new impulses while effectively filtering noise and false breakouts in consolidation.
█ FEATURES
Data source:
- Source price (default: close)
- Regression Length
Calculations:
- Linear regression line (ta.linreg)
- RMSE of deviations within the length window
- Upper and lower bands: regression ± (RMSE × Multiplier)
Trailing mechanism:
Levels are “pulled” in the direction opposite to the trend (minimized/maximized)
Trend change logic:
- Down → Up: close > upper band
- Up → Down: close < lower band
Visualization:
- SuperTrend line with breaks at reversal points
- Optional gradient fill between SuperTrend line and regression
- Optional bar coloring based on current trend
- “Buy” labels (green upward arrow) and “Sell” labels (red downward arrow) only on confirmed trend changes
Risk management:
- Optional automatic TP1/TP2/TP3 and SL levels after each signal
Two calculation modes:
- Candle Multiplier – multiplier of average candle body size (SMA(|open–close|))
- Percentage – percentage of the signal close price
Levels drawn as short horizontal lines
Persistent table in the top-right corner with current TP/SL values
Alerts:
- Buy Signal – triggers only on confirmed uptrend change
- Sell Signal – triggers only on confirmed downtrend change
█ HOW TO USE
Add to chart → paste the code in Pine Editor or search for “Super Regression Trend”.
Main settings:
- Regression Length → default 20 (regression window length)
- RMSE Multiplier → default 2 (key sensitivity parameter)
- Show SuperTrend Line / Fill to Regression / Color Bars → visual options
- Show TP/SL Levels → enable/disable risk management tools
- TP/SL Calculation Mode → “Candle Multiplier” or “Percentage”
- Multipliers/percentages for TP1–TP3 and SL → fully customizable
Interpretation:
- Green line and shading = uptrend
- Red line and shading = downtrend
- Higher RMSE Multiplier = fewer signals, higher quality
- Lower Multiplier = faster reaction, more signals (aggressive mode)
█ APPLICATIONS
Excellent for:
- Classic trend-following (enter with trend, exit on reversal)
- Momentum and breakout strategies
- Automated position management with optional TP/SL levels
Best combined with:
- Support/resistance levels, Pivot Points, psychological round numbers
- Confirmation from oscillators (RSI, Stochastic, MACD)
- Volume or volume profile analysis
Style adaptation:
- Scalping / daytrading → shorter regression length (10–20) and lower Multiplier (1.5–2.0)
- Swing / longer-term positions → longer regression (30–50) and higher Multiplier (2.0–3.0)
█ NOTES
- Works on all markets and timeframes
- Effectiveness depends on matching the RMSE Multiplier to the instrument’s volatility
- Higher Multiplier and Length values = fewer, but significantly more reliable signals
Asset % Performance vs Base Index [Dots3Red]General idea of the indicator
This indicator is designed to indicate the asset % performance within the chosen time period in the form of colored boxes.
Moreover, the indicator shows the historic YoY% performance of one of the 4 US indices chosen: SP500, Nasdaq 100, DJ30, or Russel 2000.
The visual boxes are shown below the main chart.
How to use the indicator?
In the indicator's settings:
Choose the base index against which you want to check the asset % performance in the scripts.
Choose the default time period of the ticker for which you want to see the % performance.
Choose "Dark Theme" to redraw the boxes if you use that theme.
It is possible to drag the boundaries of the asset's % box in the chart so as to readjust the time period.
The indicator automatically recalculates once you change the settings or drag the boundaries of the asset's box
Possible Code changes
This script is open-source, therefore, you might modify it to choose any base asset, not only US indices.
Silver vs S&P 500 (Rebased to 100) I have ensured that silver prices and the s&p 500 price are overlayed to give the common folk an understanding. The important part is that the prices are rebased in nature. i.e. if they both started at 100 from an n year which in this case is 1992.
Table - Trend Multi TF+RSI+Stoch-ByBankTHTable
Trend+RSI+Stoch
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EDUVEST QQE Grade System - S/A/B/C Signal ClassificationEDUVEST QQE Grade System - S/A/B/C Signal Classification
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█ ORIGINALITY
This indicator introduces a unique grading system (S/A/B/C) for QQE signals, combining traditional QQE analysis with SMC (Smart Money Concepts) price zones and trading session filters. Unlike standard QQE indicators that show all signals equally, this version classifies signals by quality to help traders focus on the highest probability setups.
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█ WHAT IT DOES
- Generates BUY/SELL signals with S/A/B/C grade classification
- Automatically detects asset type and applies optimized QQE factors
- Integrates SMC price zones (support/resistance) for grade enhancement
- Filters signals by trading session time
- Displays real-time session and market status
Grade Hierarchy:
- S (Gold/Orange): Signal near SMC zone + active trading hours - Highest quality
- A (Green/Red): Score 70+ during trading hours - High quality
- B (Darker): Score 50-69 during trading hours - Medium quality
- C (Gray, small): Outside trading hours or weak signal - Low quality
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█ HOW IT WORKS
【QQE Core Calculation】
The QQE (Quantitative Qualitative Estimation) is calculated as:
1. RSI with configurable period (default: 14)
2. EMA smoothing of RSI (Smoothing Factor: 5)
3. Dynamic bands using Wilder's smoothing: RSI ± (ATR of RSI × QQE Factor)
QQE Factor is auto-adjusted per asset:
- USD/JPY: 4.238
- EUR/USD: 3.8
- Gold (XAU/USD): 8.0
- NASDAQ/US100: 9.0
【Signal Generation】
- BUY: QQE line crosses above its trailing stop (QQExlong == 1)
- SELL: QQE line crosses below its trailing stop (QQExshort == 1)
【Internal Scoring System】
Score components (0-100):
- Signal Base: +25 points when signal occurs
- QQE Strength: +10 to +20 based on RSI distance from 50
- Volatility: +15 (optimal ATR ratio 1.1-2.0), -10 (low volatility)
- Volume Confirmation: +10 (high volume), -5 (low volume)
- Session Bonus: +5 during London/NY sessions
- Base: +20 points
【Grade Assignment】
- Grade S: Signal near user-defined SMC price zone (within tolerance %) AND during trading hours
- Grade A: Internal score >= 70 AND during trading hours
- Grade B: Internal score >= 50 AND during trading hours
- Grade C: Outside trading hours OR score < 50
【SMC Price Zone Integration】
Users can set support/resistance levels for each asset. When price is within the tolerance percentage of these levels, signals are upgraded to S-grade, indicating confluence with institutional price levels.
【Trading Session Filter】
Configurable active trading hours (JST timezone):
- Default: 15:00 - 01:00 JST (London + NY overlap)
- Signals outside this window receive C-grade
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15M, 1H, 4H
- Best on: USD/JPY, EUR/USD, Gold, NASDAQ
- Focus on: S and A grade signals
【Trading Strategy】
- S-Grade (Gold/Orange): Highest conviction - consider larger position
- A-Grade (Green/Red): Strong signal - standard position
- B-Grade: Valid but use additional confirmation
- C-Grade: Avoid or use minimal size
【Setting Up SMC Zones】
1. Identify key support/resistance on higher timeframe
2. Input prices in SMC Price Settings
3. Adjust tolerance % (default: 0.15%)
4. S-grade appears when signal occurs near these levels
【Info Panel】
Top-right panel shows:
- Asset name and detection mode (Auto/Manual)
- Current session (Tokyo/London/NY)
- Trading hours status
- SMC zone proximity
【Alert Setup】
1. Enable alerts in settings
2. Create alert with "Any alert() function call"
3. Alerts include grade, price, and session info
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█ SETTINGS
Basic Settings:
- Enable Alerts: Turn on/off notifications
- Time Filter: Activate trading hour filter
- Start/End Hour: Define active trading window (JST)
QQE Settings:
- RSI Period: RSI calculation period
- RSI Smoothing: EMA smoothing factor
- Auto QQE Factor: Auto-detect optimal factor per asset
- Manual QQE Factor: Override when auto is disabled
SMC Price Settings:
- Support/Resistance levels for each asset
- Tolerance %: How close to SMC line for S-grade
Display Settings:
- Grade Only: Hide QQE lines, show only signals
- Show SMC Lines: Display support/resistance on chart
- Show Debug: Display asset detection info
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█ CREDITS
QQE concept originally developed by John Ehlers.
SMC (Smart Money Concepts) integration and grading system by EduVest.
License: Mozilla Public License 2.0
EDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring SystemEDUVEST QQE Signal v3.0 - Multi-Timeframe Scoring System
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█ ORIGINALITY
This indicator combines QQE (Quantitative Qualitative Estimation) with HMA (Hull Moving Average) and introduces a unique AI-based scoring system that rates signal quality from 0-100. Unlike traditional QQE indicators that show simple buy/sell signals, this version categorizes signals into four strength levels: BIG CHANCE, SUPER, POWER, and STRONG.
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█ WHAT IT DOES
- Generates scored BUY/SELL signals with quality ratings (60-100 points)
- Categorizes signals into 4 strength levels for easy decision making
- Supports Multi-Timeframe (MTF) analysis
- Auto-detects asset type and applies optimized QQE factors
- Provides customizable alerts based on score thresholds
Signal Hierarchy:
- 💰 BIG CHANCE (90-100): Highest probability setups
- ⚡ SUPER (80-89): Very strong signals
- 🚀 POWER (70-79): Strong signals with HMA confluence
- 💪 STRONG (60-69): Standard quality signals
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█ HOW IT WORKS
【QQE Calculation】
QQE is based on a smoothed RSI with dynamic bands:
1. Calculate RSI with specified period (default: 14)
2. Apply EMA smoothing to RSI (Smoothing Factor, default: 5)
3. Calculate ATR of the smoothed RSI
4. Create dynamic bands: RSI ± (ATR × QQE Factor)
The QQE Factor is automatically adjusted per asset:
- Forex (USDJPY, EURUSD): 3.8 - 4.238
- Gold (XAUUSD): 8.0
- Crypto (BTC): 12.0, (ETH): 10.0
- Indices (NASDAQ): 4.238
【HMA Calculation】
Hull Moving Average for trend confirmation:
HMA = WMA(2 × WMA(price, n/2) - WMA(price, n), √n)
【Signal Generation】
- BUY: QQE crosses above its band (QQExlong == 1)
- SELL: QQE crosses below its band (QQExshort == 1)
【AI Scoring System】
The score is calculated from multiple factors:
Signal Base (0-35 points):
- QQE + HMA confluence: +35
- QQE or HMA alone: +25
QQE Strength (10-25 points):
- RSI distance from 50 (momentum strength)
- >30 distance: +25, >20: +20, >10: +15, else: +10
Volatility Score (-10 to +15 points):
- ATR ratio 1.1-2.0: +15 (optimal volatility)
- ATR ratio <0.8: -10 (low volatility warning)
Volume Confirmation (-5 to +15 points):
- Volume > 120% of average: +15
- Volume < 80% of average: -5
Base Points: +15
Final Score = Clamped(0, 100, sum of all factors)
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 5M, 15M, 1H, 4H
- Best on: Forex, Gold, NASDAQ, BTC/ETH
- Minimum Score: 60 (adjustable)
【Reading Signals】
- BIG CHANCE (Gold label, 90+): Highest conviction - consider larger position
- SUPER (Yellow label, 80-89): Very strong - standard position
- POWER (Cyan/Magenta label, 70-79): Strong with trend confirmation
- STRONG (Green/Red label, 60-69): Valid but use additional confirmation
【MTF Feature】
Enable MTF to analyze signals from a higher timeframe while viewing lower timeframe charts. The indicator auto-selects 5-minute as the analysis timeframe, or you can set it manually.
【Alert Setup】
1. Enable alerts in settings
2. Set minimum score threshold (default: 60)
3. Create alert with "Any alert() function call"
【Important Notes】
- Signals are confirmed at bar close (no repainting)
- Higher scores = higher probability, not guaranteed profits
- Always use proper risk management
- Consider market context and support/resistance levels
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█ SETTINGS
⏱️ MTF Settings
- MTF Use: Enable multi-timeframe analysis
- Manual Timeframe: Override auto-detection
- Show Panel: Display info panel (default: OFF)
🎨 Design
- Neon Colors: Vibrant color scheme
- Show HMA Line: Display HMA on chart
- Minimum Score: Filter weak signals
- Label Transparency: Adjust label opacity
- Large Labels: Mobile-friendly sizing
🔧 QQE Settings
- RSI Period: RSI calculation period
- Smoothing: EMA smoothing factor
- AI Score: Enable scoring system
🔔 Alerts
- Enable Alerts: Turn on/off notifications
- Minimum Score: Alert threshold
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█ CREDITS
QQE concept originally developed by John Ehlers.
HMA (Hull Moving Average) by Alan Hull.
Enhanced with scoring system and MTF support by EduVest.
License: Mozilla Public License 2.0
EDUVEST UTBOT ADJ - Adaptive ATR Trailing StopEDUVEST UTBOT ADJ - Adaptive ATR Trailing Stop with Session-Based Sensitivity
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█ ORIGINALITY
This indicator is an enhanced version of the classic UT Bot concept, featuring automatic session-based ATR sensitivity adjustment. Unlike the original UT Bot which uses a fixed sensitivity value, this version dynamically adapts to different trading sessions (Tokyo, London, New York) and automatically detects asset characteristics to optimize signal generation.
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█ WHAT IT DOES
- Generates BUY and SELL signals based on ATR trailing stop crossovers with a moving average
- Automatically adjusts sensitivity based on current trading session (Tokyo/London/NY)
- Auto-detects asset type and applies optimized parameters for each instrument
- Displays real-time session information and volatility status
- Provides alert functionality with customizable cooldown periods
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█ HOW IT WORKS
【Core Logic: ATR Trailing Stop】
The indicator calculates an ATR-based trailing stop using the formula:
Trailing Stop = Price ± (Sensitivity × ATR)
When price is above the trailing stop and rising, the stop trails below price.
When price is below the trailing stop and falling, the stop trails above price.
【Signal Generation】
- BUY Signal: Price crosses above the trailing stop AND Moving Average crosses above the trailing stop
- SELL Signal: Price crosses below the trailing stop AND Moving Average crosses below the trailing stop
【Session-Based Sensitivity Adjustment】
The indicator adjusts ATR sensitivity based on trading session (JST timezone):
- Tokyo (08:00-15:00): Lower sensitivity (reduced by adjustment value) - typically quieter markets
- London (15:00-23:00): Base sensitivity - moderate volatility
- New York (23:00-08:00): Higher sensitivity (increased by adjustment value) - higher volatility
【Dynamic ATR Adjustment】
When enabled, the indicator compares current ATR to its smoothed average:
- ATR Ratio = Current ATR / SMA(ATR, smoothing period)
- Volatility Multiplier = 1.0 + (Sensitivity × (2.0 - ATR Ratio))
This reduces sensitivity during high volatility (fewer false signals) and increases sensitivity during low volatility (faster response).
【Auto Asset Detection】
The indicator automatically detects the traded instrument and applies optimized parameters:
- Stable pairs (USDJPY, EURUSD, USDCHF): Base sensitivity 1.5-1.8
- Moderate pairs (AUDUSD, USDCAD, EURJPY): Base sensitivity 2.0-2.3
- Volatile pairs (GBPUSD): Base sensitivity 2.8
- Commodities (GOLD/XAUUSD): Base sensitivity 3.5
- Indices (NASDAQ/NAS100): Base sensitivity 4.0
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█ HOW TO USE
【Recommended Settings】
- Timeframe: 15 minutes or higher (15M, 1H, 4H recommended)
- Best performance on: Forex majors, Gold, NASDAQ
- Enable "Auto Asset Detection" for optimized parameters
【Entry Rules】
- BUY: Enter long when green BUY label appears
- SELL: Enter short when pink SELL label appears
【Session Panel】
The top-right panel displays:
- Current trading session (Tokyo/London/NY)
- Volatility status (High Chance/Medium Chance/Caution)
- Mode (AUTO/MANUAL)
【Alert Setup】
1. Enable "Viewer Alert Display" in settings
2. Set cooldown period (default: 15 minutes) to avoid signal spam
3. Create alert with "Any alert() function call" condition
【Important Notes】
- This indicator does not repaint - signals are confirmed at bar close
- Lower timeframes (1M, 5M) may generate excessive signals
- Always use proper risk management and confirm with other analysis
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█ SETTINGS OVERVIEW
🎯 Alert Settings
- Viewer Alert Display: Enable/disable alert labels
- Cooldown Function: Prevent rapid consecutive signals
- Cooldown Time: Minutes between alerts (5-60)
🔧 Dynamic ATR Settings
- Enable Dynamic ATR: Auto-adjust based on volatility
- ATR Period: Calculation period (default: 14)
- ATR Smoothing: Smoothing period for ratio calculation
- Volatility Sensitivity: How much to adjust (0.1-1.0)
🕐 Session ATR Adjustment
- Enable Time Adjustment: Session-based sensitivity
- Show Session Info: Display session panel
📊 Asset Settings
- Auto Asset Detection: Automatically optimize for instrument
- Manual settings available when auto-detection is disabled
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█ CREDITS
Based on the original UT Bot concept by QuantNomad.
Enhanced with session-based adaptation and auto-asset detection by EduVest.
License: Mozilla Public License 2.0
Step Channel█ OVERVIEW
"Step Channel" is a technical analysis indicator that builds a dynamic price channel based on market volatility (ATR) and a step-like logic for updating levels. It is ideal for traders using market structure analysis, price action, as well as trend-following, range-bound, and breakout strategies.
Thanks to the adjustable channel width, the indicator can be easily adapted to various instruments, timeframes, and trading styles – from scalping to swing trading.
█ CONCEPTS
The indicator is a universal trading tool that supports trend detection, trading in consolidation, and breakout-based strategies.
The key feature is the step-like update of the baseline (MID). Unlike classic moving averages:
- the MID line does not react to every candle
- it updates only after breaking a volatility-based level
- each breakout creates a new "step" in the market structure
This keeps the market structure clear, with regime changes being distinct and objective.
█ FEATURES
ATR-based dynamic channel
The channel width automatically adjusts to current volatility – widening during high-activity periods and narrowing in consolidations, ensuring constant adaptation to market conditions.
Structural MID line
Central, adaptive trend line updated in steps after a breakout.
Inner levels (IN)
The zone of typical price movement within the structure. These levels change only after a sustained breakout confirmed by candle close – this exact breakout generates the structural signals (Step UP/DOWN).
Outer levels (OUT)
An orientational zone indicating the potential reach of a strong, single price move beyond the current structure. Price never stays in this zone (levels shift immediately after breaking IN). Primarily used as:
- main take-profit levels
- dynamic SL in aggressive strategies
Structural signals
Generated exclusively at the moment of a real structure change:
- Step UP – upside breakout
- Step DOWN – downside breakout
Signals appear only on the breakout candle.
Built-in alerts
Instant notifications for:
- Step UP
- Step DOWN
█ HOW TO USE
Adding to the chart
Search in the TradingView indicators library: "Step Channel" or paste the code in Pine Editor.
Key parameter configuration:
- ATR Length – longer value = more stable structure (fewer signals)
- Inner Multiplier – sensitivity of inner levels (lower = narrower operational channel)
- Outer Multiplier – reach of outer extremes (higher = further TP)
- Price position interpretation:
- near MID → market equilibrium, potential consolidation
- in IN zone → healthy, controlled trend move
- in OUT zone → only an orientational target for extreme move (price does not stay in this zone)
█ APPLICATIONS
- Trend strategies – entries after Step UP/DOWN signal in the direction of the new trend, re-entry at MID, trailing stop along MID; generally positions only in line with the current structure direction
- Range trading – buying at lower IN/OUT and selling at upper IN/OUT in the absence of structure change
- Breakout strategies – entries on breakout candle close with volume or HTF confirmation
- Position management – SL behind MID or opposite IN, TP at OUT (full) or IN (partial)
- Scalping on low timeframes – quick trades inside the IN channel with tight SL
- Swing trading – trend filtering on HTF and precise entries on LTF after structural signal
█ NOTES
- works on all markets and timeframes
- requires individual adjustment of multipliers to the instrument and trading style
- recommended to use with additional indicators, e.g. RSI, Fibonacci, pivots
DStrat With Alert Line Dstrat with extra lower band line specifically for alerts to trade spontaneously (without tracking daily)
Order Block Finder | Gold | ProjectSyndicate🥇 ProjectSyndicate Gold Order Block Finder
📌 Institutional Order Blocks for XAUUSD Built for Gold’s Volatility
The ProjectSyndicate Gold Order Block Finder is a professional-grade TradingView indicator engineered specifically for XAUUSD / Gold traders who want clean, high-probability institutional supply & demand zones on their chart.
Gold moves fast, sweeps liquidity often, and loves sharp displacement. This tool is tuned to match that behavior—so you can quickly spot the zones where smart money likely stepped in, and plan entries, targets, and invalidations with confidence. ✅
🚀 Why Gold Traders Like It
✅ Made for XAUUSD: Detection is tuned for Gold’s unique volatility and impulse structure
🏦 Institutional Zone Detection: Finds the last opposing candle before a true displacement + structure break
🧹 Auto-Cleanup (Mitigation): Zones automatically disappear when invalidated (no clutter)
📦 Clean Visualization: Professional OB boxes that extend into live price action
⚡ Pine Script v6: Built on the latest TradingView engine for stability and speed
🧠 Detection Logic Simple, Effective, Battle-Tested
📈 Bullish Order Block (Demand):
The last bearish candle before a strong bullish displacement that breaks market structure (BOS)
📉 Bearish Order Block (Supply):
The last bullish candle before a strong bearish displacement that breaks market structure (BOS)
💥 Displacement Filter Power Move Confirmation:
Zones are validated only when the impulse move meets a minimum strength threshold (default: 1.3× candle range)—helping filter out weak noise and low-quality blocks.
🛠 Recommended Gold Settings (XAUUSD)
Use these presets to match Gold’s typical behavior across higher-impact timeframes:
Timeframe | Swing Length | Displacement
M5 | 5–7 | 1.2 – 1.4
M10 | 5–7 | 1.2 – 1.4
M30 | 5–7 | 1.2 – 1.4
H1 | 7–9 | 1.3 – 1.6
H4 | 8–10 | 1.5 – 2.0
💡 Tip: If you want more signals, reduce Swing Length.
If you want higher quality only, increase Displacement.
✅ Best Use-Cases on Gold
🎯 Mark premium supply/demand zones without manual drawing
🧲 Wait for price to return to the OB for cleaner entries
🛡️ Use OB boundaries for clear invalidation + stop placement
📊 Combine with trend bias / liquidity sweeps / session levels for extra confirmation
Helicopter Seed Jesus IndicatorTrend reversal tends to follow bands of logarithmic decay indicated by orange blocks.
Trap Longs - Hamza NaveedTrap Longs – Hamza Naveed is an advanced Open Interest–based indicator that analyzes net longs, net shorts, delta, and ratio across multiple exchanges (Binance, BitMEX, Kraken). It visualizes institutional positioning using candles, lines, or columns, with optional VWMA/EMA smoothing, RSI strength, volume heatmaps, statistical tables, and divergence detection. Designed to identify traps, absorption, and exhaustion, this tool helps traders understand positioning shifts, liquidity behavior, and potential trend reversals beyond price action alone.
Pullback Master Pro v2Yes, excellent for scalping too when used on lower timeframes (1-15 min):
Why it works for scalping:
Quick pullback identification for fast entries
EMA slope changes catch momentum shifts early
RSI extremes pinpoint overextended moves
Volume spikes confirm momentum entries
Fast signals for quick in-and-out trades
Scalping Setup:
Use on 1-5 minute charts
Set higher timeframe to 15-30 minutes for trend filter
Shorter EMA periods (5-9) for faster signals
Small pullback depth (5-15%) for tighter entries
The indicator's real-time signals and clean visualization make it ideal for rapid scalping decisions.
Pullback Master ProPullback Master Pro - Scalping & Swing Trading Indicator
Perfect for both scalping and swing trading:
For Scalpers (1-5 min charts):
Quick pullback signals with fast EMA response
Real-time RSI/volume confirmation for rapid entries
Clean signals for fast in/out decisions
For Swing Traders (1H-4H charts):
Multi-timeframe trend filtering for higher accuracy
Deep pullback detection for better risk/reward
Sustained momentum signals for longer holds
Core Features:
Pullback detection with customizable depth
Multi-timeframe trend alignment
RSI + Volume + EMA confluence
Adjustable signal display (opacity, position, size)
Always-visible 3×6 data table
Multiple themes and customization options
One indicator for all timeframes - works equally well for quick scalps and strategic swing trades by adjusting the settings.
Max and Min Daily + 4H + 1H + Today Daily + 30mIndicator that shows on the chart the highs and lows of yesterday's daily, today's daily candle, the 4-hour, 1-hour, and 30-minute timeframes.
Indicatore che mostra sul grafico i max e min del daily di ieri, della candela giornaliera di oggi, del tf4h, tf1h e tf30 min.
Session High Low - Multi SessionDraws horizontal lines showing the highest and lowest prices for three trading sessions (Asian, London, New York) each day. Labels them AH/AL, LH/LL, NH/NL. Lines extend across the chart so you can see these levels after the session ends.
In one sentence: It draws daily high/low lines for three trading sessions with labels so you can see important price levels.
Trading Sessions - BluePipsWhat the indicator does
A TradingView Pine Script indicator that overlays trading sessions on intraday charts and tracks session highs/lows.
Main features
Three trading sessions (all times in CST/CDT):
Asian Session: 7:00 PM - 12:00 AM (19:00-00:00)
London Session: 1:00 AM - 6:00 AM (01:00-06:00)
New York Session: 7:00 AM - 1:00 PM (07:00-13:00)
Visual elements (toggleable):
Colored boxes: highlight each active session
Session labels: show session name, price range, and average price
Open/Close lines: dashed lines at session open and close prices
Average price line: dotted line showing the average price during the session
High/Low lines: solid lines showing the session high and low
High/Low labels: "AH" (Asian High), "AL" (Asian Low), "LH" (London High), "LL" (London Low), "NH" (New York High), "NL" (New York Low)
Behavior:
During a session: box expands, lines extend, high/low update in real time
After a session ends: box and open/close lines are removed; high/low lines remain visible as reference levels
Daily reset: all elements are cleaned up at the start of each new day
Use cases
Identify session boundaries and overlaps
Track session highs/lows as support/resistance
Analyze price action during specific trading hours
Monitor session ranges and averages
Technical details
Works only on intraday timeframes (errors on daily/weekly/monthly)
Handles daylight saving time automatically via IANA timezones
Properly cleans up visual elements to prevent memory leaks
All times are in Central Standard Time (CST/CDT)
Useful for traders who want to see session-based price levels and ranges directly on their charts.
NY VWAP 2std to 3std Probabilities + Exit ZonesHow it works:
Time buckets
Early: 10:30 – 12:00
Mid: 12:00 – 14:00
Late: 14:00 – 16:00
Bands
2σ band (s2up / s2dn) → this is where the “potential breakout” starts.
3σ band (s3up / s3dn) → this is the “target” for the 2→3σ move.
Counting logic
If during a given bucket, the price touches the 2σ band, it counts as a 2σ hit.
If after that, in the same bucket, the price also touches the 3σ band, it counts as a 3σ hit.
Probability calculation
\text{Probability 2→3σ} = \frac{\text{# of 3σ hits}}{\text{# of 2σ hits}} \times 100
For example, if in the late session the lower 2σ band is hit 10 times, and of those 10 times, 6 eventually hit the lower 3σ band, the script will show 60%.
Labels / lines
On the chart, Upper/Lower 2→3σ probabilities are displayed per bucket.
So yes: “Late Lower 2σ → 3σ: 60%” means: if price touches the lower 2σ band in the late session, historically, 60% of those touches continued to the 3σ band.
⚠ Important caveats:
These are historical probabilities, not predictions.
Small sample sizes in a bucket can make percentages unstable early in the day.
The script only counts session NY bars (0930–1600) and ignores pre-10:30 hits to reduce opening volatility noise.
Macro Risk Sentiment - Intermarket Timing SignalOverview
This indicator builds a composite macro sentiment score by analyzing intermarket relationships between bonds, credit spreads, the US dollar, and volatility. The core premise is that these markets often signal shifts in risk appetite before equities react, providing a timing edge for managing exposure.
When macro conditions favor risk assets, the indicator signals RISK-ON (green). When conditions deteriorate, it signals RISK-OFF (red). This is not a predictive tool but rather a systematic way to assess the current macro environment.
The Problem It Solves
Markets do not move in isolation. Before major equity drawdowns, stress often appears first in credit markets, bonds, and volatility. By monitoring these leading indicators systematically, we can identify periods when holding equity exposure carries elevated risk.
The goal is not to catch every move but to avoid the worst drawdowns by stepping aside when multiple macro factors align negatively.
How It Works
Step 1: Data Collection
The indicator pulls daily data from four key markets:
Risk-On Inputs (positive for equities when rising):
- TLT (20+ Year Treasury Bonds): Rising bonds can signal improving liquidity or flight-to-safety ending
- JNK (High-Yield Corporate Bonds): Rising junk bonds indicate credit conditions improving and risk appetite increasing
Risk-Off Inputs (negative for equities when rising):
- DXY (US Dollar Index): Strong dollar tightens global financial conditions and signals risk-off flows
- VIX (Volatility Index): Elevated VIX indicates fear and hedging demand
Step 2: Z-Score Normalization
Each input trades at different absolute levels, so direct comparison is impossible. The indicator converts each to a z-score: how many standard deviations the current value is from its 252-day (1 year) average.
A z-score of +1 means "unusually high relative to recent history." A z-score of -1 means "unusually low." This puts all inputs on the same scale.
Step 3: Composite Calculation
The macro score combines the normalized inputs:
Macro Score = (TLT z-score + JNK z-score) - (DXY z-score + VIX z-score)
The result is clamped between -1.5 and +1.5 to prevent outliers from dominating, then smoothed with an EMA to reduce noise.
Step 4: Signal Generation
Seven different methods are available for determining when conditions shift:
1. EMA Cross: Classic crossover between smoothed macro and its signal line
2. Slope: Simple direction of the macro trend
3. Momentum: Rate of change exceeding a threshold
4. Session Delta: Comparing today's reading to yesterday's
5. Pivot: Market structure analysis (higher lows vs lower highs)
6. Acceleration: Second derivative (is momentum increasing?)
7. Multi-Confirm: Requires 4 or more methods to agree
Why These Specific Markets?
Bonds (TLT)
Treasury bonds often lead equities at turning points. When institutions rotate into bonds, it signals caution. When they rotate out, it signals risk appetite returning.
Credit (JNK)
High-yield bonds price credit risk faster than equities. Widening credit spreads (falling JNK) often precede equity weakness by days or weeks.
Dollar (DXY)
A strong dollar creates headwinds for multinational earnings, tightens global USD liquidity, and signals defensive positioning globally.
Volatility (VIX)
The options market prices fear before it manifests in price. Sustained elevated VIX readings indicate hedging demand and uncertainty.
Research Application: Weekly Put Selling
One application of this indicator is timing premium-selling strategies. I tested using the EMA Cross method to filter 7-day-to-expiration (7DTE) put sales on ES futures with 90% Profit Target and 600% Stop Loss, only selling puts when the indicator showed RISK-ON.
Results with Macro Filter (2020-2025):
- Trades: 200
- Win Rate: 96.0%
- Total P/L: +$33,636
- Max Drawdown: 2.91%
- Profit Factor: 3.51
Results without Filter (same period):
- Trades: 357
- Win Rate: 96.1%
- Total P/L: +$63,492
- Max Drawdown: 10.30%
- Profit Factor: 2.90
Key Insight:
The filtered approach made less total profit (fewer trades) but reduced maximum drawdown by 72% (from 10.30% to 2.91%). This significantly improves risk-adjusted returns and allows for potentially higher position sizing with confidence.
Note: These results are from external backtesting on actual options data, not the TradingView backtest engine. Past performance does not guarantee future results.
Features
Seven configurable signal methods for different trading styles
Adjustable weights for each data source
Z-score normalization puts all inputs on equal footing
Visual info table showing all metrics at a glance
Background coloring for quick regime identification
Alert conditions for signal changes
Secondary plot showing method-specific metrics
Settings Guide
Macro Settings
Z-Score Lookback (default 252): Period for calculating standard deviations. 252 equals approximately one trading year. Longer periods are more stable but slower to adapt.
Macro EMA (default 7): Smoothing for the raw composite score. Lower values give faster but noisier signals.
Signal EMA (default 8): Secondary smoothing for the signal line. Used primarily in EMA Cross method.
Signal Method
EMA Cross : Recommended starting point. Signals when smoothed macro crosses its signal line.
Slope : Simpler approach based purely on trend direction.
Momentum : Requires rate of change to exceed a threshold.
Session Delta : Compares today to yesterday (daily timeframe focus).
Pivot : Uses market structure (higher lows for bullish, lower highs for bearish).
Acceleration : Measures change in slope (second derivative).
Multi-Confirm : Conservative approach requiring 4+ methods to agree.
Data Sources
Each source can be enabled/disabled and weighted from 0 to 3
Default is equal weighting (1.0) for all four sources
Experiment with emphasizing sources most relevant to your trading (tested on SPX)
How to Use
Basic Interpretation:
Green background / RISK-ON: Macro conditions favor equity exposure
Red background / RISK-OFF: Macro conditions suggest caution
Arrow markers indicate regime changes
For Risk Management:
Use RISK-OFF signals to reduce position size or hedge
Use RISK-ON signals to resume normal exposure
Consider the indicator as one input among many, not a complete system
For Options Strategies:
Avoid selling premium during RISK-OFF periods
Resume premium selling when RISK-ON returns
This approach trades frequency for reduced tail risk
Alert Setup:
Set alerts on "Bullish Turn" and "Bearish Turn" conditions
Receive notifications when the macro regime changes
Research Ideas
This indicator is designed as a research framework. Consider testing:
Different signal methods for your specific strategy
Adding or removing data sources based on what you trade
Varying the z-score lookback for different market regimes
Combining with price-based filters (moving averages, support/resistance)
Using the multi-confirm method for higher-conviction signals only
Limitations
The indicator uses daily data, so intraday signals may lag
Overnight gaps from surprise news cannot be anticipated
False signals will occur, especially in choppy, range-bound markets
The z-score lookback creates a recency bias; what was "normal" a year ago may not be relevant today
Not all drawdowns are preceded by macro deterioration; some come from idiosyncratic events
Past intermarket relationships may not persist in the future
Disclaimer
This indicator is for educational and research purposes only. It does not constitute financial advice.
Past performance does not guarantee future results
The research results shared are from historical backtesting and may not reflect actual trading conditions
Always conduct your own research and due diligence
Consider your personal risk tolerance before making any trading decisions
Never risk more than you can afford to lose
Credits
Intermarket analysis concepts draw from established macro trading principles. The multi-signal approach is original work designed to give users flexibility in how they interpret the macro data.
Ultra-Compact MTF EMAsimple indicator which shows you the trend on other timeframes. fully customizable






















