9/15 EMA Scalper 9/15 EMA Scalper — by uzairbaloch
This script is a price-action based scalping system built around the 9 EMA and 15 EMA trend structure.
It identifies short-term reversal points where the market pulls back into the EMAs and confirms direction with a strong candle signal.
The strategy looks for:
• A clear EMA trend (9 above 15 for buys, 9 below 15 for sells)
• Pullback into EMA9/EMA15 with candle bodies touching the fast EMA
• Strong confirmation candle (engulfing / strong momentum / controlled wick)
• Optional slope filter to avoid flat, choppy sessions
• Automatic trade labels showing Entry, SL and TP (based on R:R)
The script is designed for scalping on gold, indices, and high-volatility FX pairs.
It resets trade logic immediately after SL or TP is hit, so it can catch the next valid signal without delay.
This tool is meant as an indicator — not a full strategy — and can be used to visually mark high-probability EMA pullback setups with precise levels.
Author: uzairbaloch
Trading
Trading Sessions [QuantAlgo]🟢 Overview
The Trading Sessions indicator tracks and displays the four major global trading sessions: Sydney, Tokyo, London, and New York. It provides session-based background highlighting, real-time price change tracking from session open, and a data table with session status. The script works across all markets (forex, equities, commodities, crypto) and helps traders identify when specific geographic markets are active, which directly correlates with changes in liquidity and volatility patterns. Default session times are set to major financial center hours in UTC but are fully adjustable to match your trading methodology.
🟢 Key Features
→ Session Background Color Coding
Each trading session gets a distinct background color on your chart:
1. Sydney Session - Default orange, 22:00-07:00 UTC
2. Tokyo Session - Default red, 00:00-09:00 UTC
3. London Session - Default green, 08:00-16:00 UTC
4. New York Session - Default blue, 13:00-22:00 UTC
When sessions overlap, the color priority is New York > London > Tokyo > Sydney. This means if London and New York are both active, the background shows New York's color. The priority matches typical liquidity and volatility patterns where later sessions generally show higher volume.
→ Color Customization
All session colors are configurable in the Color Settings panel:
1. Click any session color input to open the color picker
2. Select your preferred color for that session
3. Use the "Background Transparency" slider (0-100) to adjust opacity. Lower values = more visible, higher values = more subtle
4. Enable "Color Price Bars" to color candlesticks themselves according to the active session instead of just the background
The Color column in the info table shows a block (█) in each session's assigned color, matching what you see on the chart background.
→ Information Table Breakdown
→ Timeframe Warning
If you're viewing a timeframe of 12 hours or higher, a red warning label appears center-screen. Session boundaries don't render accurately on high timeframes because the time() function in Pine Script can't detect intra-bar session changes when each bar spans multiple sessions. The warning tells you to switch to sub-12H timeframes (e.g., 4H, 1H, 30m, 15m, etc.) for proper session detection. You can disable this warning in Color Settings if needed, but session highlighting can be unreliable on 12H+ charts regardless.
→ Time Range Configuration
Every session's time range is editable in Session Settings:
1. Click the time input field next to each session
2. Enter time as HHMM-HHMM in 24-hour format
3. All times are interpreted as UTC
4. Modify these to account for daylight saving shifts or to define custom session periods based on your backtested optimal trading windows
For example, if your strategy performs best during London/NY overlap specifically, you could set London to 08:00-17:00 and New York to 13:00-22:00 to ensure you see the full overlap highlighted.
→ Weekdays Filter
The "Weekdays Only (Mon-Fri)" toggle controls whether sessions display on weekends:
Enabled: Sessions only show Monday-Friday and hide on Saturday-Sunday. Use this for markets that close on weekends (most equities, forex).
Disabled: Sessions display 24/7 including weekends. Use this for markets that trade continuously (crypto).
→ Table Display Options
The info table has several configuration options in Table Settings:
Visibility: Toggle "Show Info Table" on/off to display or hide the entire table.
Position: Nine position options (Top/Middle/Bottom + Left/Center/Right) let you place the table wherever it doesn't block your price action or other indicators.
Text Size: Four size options (Tiny, Small, Normal, Large) to match your screen resolution and visual preferences.
→ Color Schemes:
Mono: Black background, gray header, white text
Light: White background, light gray header, black text
Blue: Dark blue background, medium blue header, white text
Custom: Manual selection of all five color components (table background, header background, header text, data text, borders)
→ Alert Functionality
The indicator includes ten alert conditions you can access via TradingView's alert system:
Session Opens:
1. Sydney Session Started
2. Tokyo Session Started
3. London Session Started
4. New York Session Started
5. Any Session Started
Session Closes:
6. Sydney Session Ended
7. Tokyo Session Ended
8. London Session Ended
9. New York Session Ended
10. Any Session Ended
These alerts fire when sessions transition based on your configured time ranges, letting you automate monitoring of session changes without watching the chart continuously. Useful for strategies that trade specific session opens/closes or need to adjust position sizing when volatility regime shifts between sessions.
Forex Session TrackerForex Session Tracker - Professional Trading Session Indicator
The Forex Session Tracker is a comprehensive and visually intuitive indicator designed specifically for forex traders who need precise tracking of major global trading sessions. This powerful tool helps traders identify active market sessions, monitor session-specific price ranges, and capitalize on volatility patterns unique to each trading period.
Understanding when major financial centers are active is crucial for forex trading success. This indicator provides real-time visualization of the Tokyo, London, New York, and Sydney trading sessions, allowing traders to align their strategies with peak liquidity periods and avoid low-volatility trading windows.
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Key Features
📊 Four Major Global Trading Sessions
The indicator tracks all four primary forex trading sessions with precision:
- Tokyo Session (Asian Market) - Captures the Asian trading hours, ideal for JPY, AUD, and NZD pairs
- London Session (European Market) - Monitors the most liquid trading period, perfect for EUR, GBP pairs
- New York Session (American Market) - Tracks US market hours, essential for USD-based currency pairs
- Sydney Session (Pacific Market) - Identifies the opening of the trading week and AUD/NZD activity
Each session is fully customizable with individual color schemes, making it easy to distinguish between different market periods at a glance.
🎯 Session Range Visualization
For each active trading session, the indicator automatically:
- Draws rectangular boxes that highlight the session's time period
- Tracks and displays session HIGH and LOW price levels in real-time
- Creates horizontal lines at session extremes for easy reference
- Positions session labels at the center of each trading period
- Updates dynamically as new highs or lows are formed within the session
This visual approach helps traders quickly identify:
- Session breakout opportunities
- Support and resistance zones formed during specific sessions
- Range-bound vs. trending session behavior
- Key price levels that institutional traders are watching
📱 Live Information Dashboard
A sleek, professional information panel displays:
- Real-time session status - Instantly see which sessions are currently active
- Color-coded indicators - Green dots for active sessions, gray for closed sessions
- Timezone information - Confirms your current timezone settings
- Customizable positioning - Place the dashboard anywhere on your chart (Top Left, Top Right, Bottom Left, Bottom Right)
- Adjustable size - Choose from Tiny, Small, Normal, or Large text sizes for optimal visibility
The dashboard provides at-a-glance awareness of market conditions without cluttering your chart analysis.
⚙️ Extensive Customization Options
Every aspect of the indicator can be tailored to your trading preferences:
Session-Specific Controls:
- Enable/disable individual sessions
- Customize colors for each trading period
- Adjust session times to match your broker's server time
- Toggle background highlighting on/off
- Show/hide session high/low lines independently
General Settings:
- UTC Offset Control - Adjust timezone from UTC-12 to UTC+14
- Exchange Timezone Option - Automatically use your chart's exchange timezone
- Background Transparency - Fine-tune the opacity of session highlighting (0-100%)
- Session Labels - Show or hide session name labels
- Information Panel - Toggle the live status dashboard on/off
Style Settings:
- Turn session backgrounds ON/OFF directly from the Style tab
- Maintain clean charts while keeping all analytical features active
🔔 Built-in Alert System
Stay informed about session openings with customizable alerts:
- Tokyo Session Started
- London Session Started
- New York Session Started
- Sydney Session Started
Set up notifications to never miss important market opening periods, even when you're away from your charts.
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How to Use This Indicator
For Day Traders:
1. Identify High-Volatility Periods - Focus your trading during London and New York session overlaps for maximum liquidity
2. Monitor Session Breakouts - Watch for price breaks above/below session highs and lows
3. Avoid Low-Volume Periods - Recognize when major sessions are closed to avoid false signals
For Swing Traders:
1. Mark Key Levels - Use session highs and lows as support/resistance zones
2. Track Multi-Session Patterns - Observe how price behaves across different trading sessions
3. Plan Entry/Exit Points - Time your trades around session openings for better execution
For Currency-Specific Traders:
1. JPY Pairs - Focus on Tokyo session movements
2. EUR/GBP Pairs - Monitor London session activity
3. USD Pairs - Track New York session volatility
4. AUD/NZD Pairs - Watch Sydney and Tokyo sessions
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Technical Specifications
- Pine Script Version: 5
- Overlay Indicator: Yes (displays directly on price chart)
- Maximum Bars Back: 500
- Drawing Objects: Up to 500 lines, boxes, and labels
- Performance: Optimized for real-time data processing
- Compatibility: Works on all timeframes (recommended: 5m to 1H for session tracking)
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Installation & Setup
1. Add to Chart - Click "Add to Chart" after copying the script to Pine Editor
2. Configure Timezone - Set your UTC offset or enable "Use Exchange Timezone"
3. Customize Colors - Choose your preferred color scheme for each session
4. Adjust Display - Enable/disable features based on your trading style
5. Set Alerts - Create alert notifications for session starts
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Best Practices
✅ Combine with Price Action - Use session ranges alongside candlestick patterns for confirmation
✅ Watch Session Overlaps - The London-New York overlap (1300-1600 UTC) typically shows highest volatility
✅ Respect Session Highs/Lows - These levels often act as intraday support and resistance
✅ Adjust for Your Broker - Verify session times match your broker's server clock
✅ Use Multiple Timeframes - View sessions on both lower (15m) and higher (1H) timeframes for context
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Why Choose Forex Session Tracker Pro?
✨ Professional Grade Tool - Built with clean, efficient code following TradingView best practices
✨ Beginner Friendly - Intuitive design with clear visual cues
✨ Highly Customizable - Adapt every feature to match your trading style
✨ Performance Optimized - Lightweight code that won't slow down your charts
✨ Actively Maintained - Regular updates and improvements
✨ No Repainting - All visual elements are fixed once the session completes
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Support & Updates
This indicator is designed to provide reliable, accurate session tracking for forex traders of all experience levels. Whether you're a scalper looking for high-volatility windows or a position trader marking key institutional levels, the Forex Session Tracker Pro delivers the insights you need to make informed trading decisions.
Happy Trading! 📈
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Disclaimer
This indicator is a tool for technical analysis and should be used as part of a comprehensive trading strategy. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. Trading forex carries a high level of risk and may not be suitable for all investors.
ATR Trend + RSI Pullback Strategy [Profit-Focused]This strategy is designed to catch high-probability pullbacks during strong trends using a combination of ATR-based volatility filters, RSI exhaustion levels, and a trend-following entry model.
Strategy Logic
Rather than relying on lagging crossovers, this model waits for RSI to dip into oversold zones (below 40) while price remains above a long-term EMA (default: 200). This setup captures pullbacks in strong uptrends, allowing traders to enter early in a move while controlling risk dynamically.
To avoid entries during low-volatility conditions or sideways price action, it applies a minimum ATR filter. The ATR also defines both the stop-loss and take-profit levels, allowing the model to adapt to changing market conditions.
Exit logic includes:
A take-profit at 3× the ATR distance
A stop-loss at 1.5× the ATR distance
An optional early exit if RSI crosses above 70, signaling overbought conditions
Technical Details
Trend Filter: 200 EMA – must be rising and price must be above it
Entry Signal: RSI dips below 40 during an uptrend
Volatility Filter: ATR must be above a user-defined minimum threshold
Stop-Loss: 1.5× ATR below entry price
Take-Profit: 3.0× ATR above entry price
Exit on Overbought: RSI > 70 (optional early exit)
Backtest Settings
Initial Capital: $10,000
Position Sizing: 5% of equity per trade
Slippage: 1 tick
Commission: 0.075% per trade
Trade Direction: Long only
Timeframes Tested: 15m, 1H, and 30m on trending assets like BTCUSD, NAS100, ETHUSD
This model is tuned for positive P&L across trending environments and volatile markets.
Educational Use Only
This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate performance on multiple markets and timeframes before using it in live trading.
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator
A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets.
What this indicator does
The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols.
It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution.
Core components
Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement.
Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude.
Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups.
How it works conceptually
1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish).
2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL.
3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5.
4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation.
How to interpret it
Above 0: Indicates dominant buying pressure and likely continuation of upward momentum.
Below 0: Suggests dominant selling pressure and potential continuation of downward movement.
Crosses of 0: Often mark transitions between accumulation and distribution phases.
+0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence.
[-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling.
Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa.
Why normalization matters
Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can:
Compare multiple assets objectively.
Set consistent alert thresholds for overbought/oversold regions.
Avoid misleading interpretations from absolute oscillator values.
Customization and UI
Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity.
Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more.
Visual Toggles:
* Show Oscillator : enables or hides the core histogram.
* Show Moving Average : adds a smoothed overlay for signal confirmation.
* Paint Candles : optional color overlay for chart candles based on oscillator direction.
* Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries.
How to use it
Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one.
Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes.
Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows).
Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent.
Alerts
Prebuilt alert conditions allow quick automation:
Midline crossovers (0): transition between accumulation and distribution.
Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion.
Signal moving-average crosses for confirmation entries.
Tips for use
Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns.
Use longer normalization periods for position trading, shorter for intraday analysis.
In choppy markets, treat 0-line oscillations as noise filters, not trade triggers.
Summary
The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
Liquidity Hunt Detector PDH/PDL [SmartFoxy]Liquidity Hunt Detector PDH/PDL
The Liquidity Hunt Detector (LHD) is designed to identify and anticipate liquidity grabs around the:
• Previous Day High (PDH);
• Previous Day Low (PDL).
It builds dynamic trigger levels that highlight where price may deliver its first impulse before reaching PDH/PDL.
The Liquidity Hunt Detector (LHD) identifies high-probability reversals and continuations around the Previous Day High (PDH) and Previous Day Low (PDL).
It dynamically tracks the market’s move from the session open, builds trigger levels toward PDH/PDL, and highlights where liquidity is most likely to be taken.
When price taps a Trigger Up/Down level, the indicator generates Long/Short signals with optional confirmation from the integrated MA Ribbon , ensuring only high-quality, trend-aligned setups are shown.
When price interacts with these trigger levels, the indicator generates signals that help traders evaluate the market structure and prepare for potential entries.
Designed for Forex, Crypto, Indices, Stocks , the LHD provides a clean and intuitive structure for navigating intraday liquidity grabs, session impulses, and directional bias shifts.
The indicator is built from three fully independent modules, each of which can be used separately:
Liquidity Hunt Detector (LHD)
Moving Average Ribbon (MA Ribbon)
Previous Day High/Low (PDH/PDL) levels
Liquidity Hunt Detector (LHD) Logic
1.1 Display LHD – Enables or disables the entire Liquidity Hunt Detector module.
1.2 Max Days – Number of previous days used to generate PDH/PDL levels.
1.3 GMT – Corrects all time-based calculations based on your broker/session timezone.
1.4 Calculation Method (Point A Logic)
1) Static Method
Point A = the session’s opening price.
Trigger lines are calculated strictly as a percentage of the move A → PDH or A → PDL.
Intraday fluctuations do not affect the calculation.
2) Dynamic Method
Point A updates using the current intraday high/low:
• If price forms a new low, Point A updates for the PDH-side calculations;
• If price forms a new high, Point A updates for the PDL-side calculations.
This produces trigger lines that reflect the true live market structure rather than a fixed opening reference.
1.5 Main OTT Time (Operational Trading Time)
This is the core time window during which the indicator:
• updates Point A;
• calculates trigger levels;
• validates PDH/PDL;
• draws AB / AC movement structure;
• generates entry signals.
Outside this window, no new signals or recalculations occur.
⚠ If your broker’s first candle opens at a non-standard time (e.g., 00:08), adjust the OTT start time to avoid visual artifacts.
1.6 Show Line A – Displays the opening price level (Point A) until the end of the OTT window.
Style, width, and color are customizable.
1.7 Show Line AB — Price Movement Toward PDH.
Static Method – Single line: A → PDH
Dynamic Method – Two segments:
• A → Daily Low;
• Daily Low → PDH.
If PDH is swept, the “B” label switches to Sweep PDH.
1.8 Show Line AC – Price Movement Toward PDL.
Static Method – Single line: A → PDL
Dynamic Method – Two segments:
• A → Daily High;
• Daily High → PDL.
If PDL is swept, the “C” label switches to Sweep PDL.
1.9 Show Trigger Up Line (LONG Trigger) – Defines the level where the Long signal can activate.
By default, at 50% of the A → PDH movement.
When price touches this line, the script may:
• show a LONG label;
• trigger an alert.
All visual parameters are customizable.
1.10 Show Trigger Up Line (LONG Trigger)
Same logic as Trigger Up, but based on A → PDL.
1.11 Show Main Zone (OTT Zone) – Visual background highlighting of the active OTT window.
Helps instantly see:
• whether signals are allowed;
• how much time remains in the trading window?
Color and opacity are adjustable.
1.12 Upper Zone (toward PDH) – Tracks the protected area towards PDH.
Updates dynamically with new highs.
1.13 Lower Zone (toward PDL) – Tracks the zone toward PDL.
Updates dynamically with new lows.
1.14 Show Labels – Displays reference labels (A, B, C, Trigger Up, Trigger Down).
Label size is customizable.
1.15 Add Price – Adds the exact price value to each label.
1.16 Change Color after Sweep PDH or PDL – After PDH or PDL is broken, the indicator automatically recolors lines and labels to visually confirm the sweep.
1.17 Show SHORT Label – Displays the SHORT entry label when all conditions for a bearish signal are met.
Style parameters are set in the previous blocks.
1.18 Alert on Bearish Trigger Down – Triggers an alert when the price activates the bearish trigger.
1.19 Show LONG Label – Displays the LONG entry label when bullish conditions are met.
Style parameters are set in the previous blocks.
1.20 Alert on Bullish Trigger Up – Triggers an alert when the price activates the bullish trigger.
1.21 Alerts Active Time – Defines a custom time interval during which trigger signals are allowed.
Even if price touches a trigger level,
❗ signals will NOT be generated outside this allowed time.
Useful for:
• avoiding Asian session signals;
• reducing noise in low-liquidity periods.
1.22 Labels and Alerts Display Mode
Two settings modes:
• On Trigger (Instant Mode) – Signals appear immediately when price touches the trigger.
• On Candle Close (Conservative Mode) – Signals form only after the candle closes beyond the trigger level.
A more conservative option.
1.23 Delay LHD Signal Until MA Ribbon Confirms Direction – If enabled, LHD signals will NOT fire until the MA Ribbon produces a matching directional signal.
Logic:
• Price hits the trigger → LHD conditions become “armed”;
• The indicator waits;
• When MA Ribbon confirms trend direction (Long/Short);
• The final LHD label + alert is generated.
This ensures LHD trades are filtered and aligned with MA-based trend confirmation.
⚠ Works only when the MA Ribbon module is active.
MCM By Inner Racers# MCM By Inner Racers - Multi-Timeframe Key Levels & Session Indicator
## 📊 Overview
**MCM (Multi-Timeframe Chart Mapping)** is a comprehensive trading indicator designed for professional traders who need clear visual representation of critical price levels, session ranges, and time-based market structure. This all-in-one tool eliminates chart clutter while providing essential information for ICT, SMC, and institutional trading methodologies.
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## ✨ Key Features
### 📅 **Previous Daily Levels**
- **Previous Day High (PDH)** - Acts as key resistance/liquidity zone
- **Previous Day Low (PDL)** - Acts as key support/liquidity zone
- **Previous Day Mid (PDM)** - 50% equilibrium level for mean reversion trades
- **Daily Separators** - Vertical lines marking new trading days
### 📆 **Previous Weekly Levels**
- **Previous Week High (PWH)** - Major weekly resistance for swing trading
- **Previous Week Low (PWL)** - Major weekly support for swing trading
- **Previous Week Mid (PWM)** - Weekly equilibrium for higher timeframe bias
- **Weekly Separators** - Vertical lines marking new trading weeks
### 🌅 **True Day Opens (TDO)**
- Displays opening prices at **midnight NY time** for the past 1-10 days
- Each level labeled as "TDO D-0", "TDO D-1", "TDO D-2", etc.
- Critical for tracking institutional reference points and gap trading
- Respects true midnight opens (not session opens)
### 📍 **Weekly Opens**
- **Monday 00:00 Open** - True weekly open at Monday midnight NY time
- **Sunday 17:00 Open** - Forex market open (Sunday 5 PM NY time)
- Essential for understanding weekly bias and manipulation zones
### 🌏 **Trading Session Ranges**
Dynamic session boxes that track real-time high/low ranges:
- **Asian Session** (Default: 20:00-00:00 NY) -
- **London Session** (Default: 02:00-05:00 NY) -
- **New York Session** (Default: 07:00-16:00 NY) -
All session times are **fully customizable** in 15-minute increments.
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## 🎯 Who Is This For?
✅ **ICT/SMC Traders** - Key levels for market structure, liquidity, and order flow
✅ **Session Traders** - Identifying killzones and optimal entry zones
✅ **Swing Traders** - Previous day/week levels as support/resistance
✅ **Multi-Timeframe Analysts** - Understanding price relationships across timeframes
✅ **Forex & Indices Traders** - NY time-based analysis for institutional moves
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## 🎨 Full Customization
Every element is fully customizable:
- ✏️ **Colors** - Match your chart theme perfectly
- 📏 **Line Widths** - 1-5 pixels for visibility
- 🎭 **Line Styles** - Solid, Dashed, or Dotted
- 🏷️ **Labels** - Custom text and 5 size options (Tiny to Huge)
- ⏱️ **Session Times** - Adjust to your timezone or broker
- 📐 **Line Extension** - 20-500 bars forward projection
- 👁️ **Toggle Visibility** - Show/hide any feature independently
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## 🔧 Technical Highlights
- Uses **request.security()** for accurate higher timeframe data
- Implements **lookahead=barmerge.lookahead_on** for non-repainting levels
- All times calculated in **America/New_York timezone** for consistency
- Efficient line management with proper deletion/recreation
- Maximum 500 lines supported for clean chart performance
- Session detection respects broker time differences
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## 📖 How To Use
### **For Day Traders:**
1. Enable Daily Levels + True Day Opens for intraday structure
2. Use Session Ranges to identify high-probability trading windows
3. Watch for price reactions at PDH/PDL and TDO levels
### **For Swing Traders:**
1. Enable Weekly Levels for higher timeframe bias
2. Use PWH/PWL as major support/resistance zones
3. Monitor Weekly Opens for institutional reference points
### **For Multi-Timeframe Analysis:**
1. Combine Daily + Weekly levels for confluence zones
2. Use Mid levels (50%) for mean reversion opportunities
3. Align session ranges with higher timeframe structure
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## ⚙️ Setup Tips
- **Timeframe:** Works on all timeframes (recommended: 1m to 1H for intraday)
- **Chart Type:** Overlay indicator - displays directly on price chart
- **Clean Charts:** Toggle off features you don't need for specific strategies
- **Labels:** Turn off labels for cleaner charts, turn on for reference
- **Line Extension:** Adjust based on your screen size and bar count
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## 🚀 What Makes This Different?
Unlike basic support/resistance indicators, MCM provides:
- ✅ **True NY midnight opens** (not session opens)
- ✅ **Multiple day opens** tracking (not just previous day)
- ✅ **Dynamic session ranges** (not static boxes)
- ✅ **Both true weekly opens** (Monday 00:00 AND Sunday 17:00)
- ✅ **Fully customizable everything** (colors, styles, labels, times)
- ✅ **Non-repainting levels** using proper lookahead settings
- ✅ **All-in-one solution** (no need for multiple indicators)
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## 📝 Notes
- All times are in **America/New_York timezone** for consistency with institutional trading
- Previous levels update at the start of each new day/week
- Session ranges are calculated dynamically during active sessions
- Lines extend forward for clear visual reference
- Works with any symbol: Forex, Indices, Crypto, Stocks
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## 🏷️ Tags
`Multi-Timeframe` `Key Levels` `ICT` `Smart Money Concepts` `Sessions` `Previous Day High/Low` `Previous Week High/Low` `Support Resistance` `Institutional Trading` `Order Flow` `Liquidity` `Market Structure`
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© Inner_Racers
For questions, suggestions, or feedback, please leave a comment below!
**⭐ If you find this indicator helpful, please give it a boost and share with fellow traders!**
MTF Trend Analyzer with Swing Pivots & S/R Levels [SmartFoxy]Indicator “Multi-Timeframe Trend Analyzer with Swing Pivots & S/R Levels”
📌 Overview
Trend & Pivot S/R Levels is a multi-timeframe market structure analyzer that identifies trend direction, detects swing highs/lows, and plots higher-timeframe support/resistance levels directly on your chart.
Designed for traders who want fast, clean, and accurate trend context without constantly switching timeframes.
________________________________________________________________________________
✨ Core Features
1. Multi-Timeframe Trend Analyzer .
Analyze up to five higher timeframes simultaneously — for example:
5m, 1H, 4H, 1D, 1W , etc.
For each timeframe, the indicator detects:
a) Trend direction:
🡕 Uptrend;
🡖 Downtrend.
b) Breakouts of recent pivot highs/lows to determine trend shifts.
c) Automatic graying-out of timeframes lower than the current chart TF .
d) A clean visual Trend Panel that shows:
Arrow direction;
Timeframe label (1D, 1W, etc.);
Trend color (bullish, bearish, neutral).
________________________________________________________________________________
2. Swing Pivot Detection (Current TF)
The script detects local swing points using customizable lookback parameters:
a) Pivot Type:
High/Low — classic swing structure;
Close — smoother swing detection using closing prices.
b) Left/Right Bars Lookback — the number of bars required on both sides to validate the pivot.
c) Multiple marker styles :
Built-in plot shapes (circle, cross, histogram, etc.);
Custom visual labels (▲▼, ◉, ✖, 🡇🡅, ◆, ◼, etc.).
This makes it easy to visually confirm that your swing settings are correct.
________________________________________________________________________________
3. Higher-Timeframe Support/Resistance
The indicator automatically draws HTF S/R lines based on the latest pivot highs/lows from each selected timeframe.
Each timeframe has:
Separate Support / Resistance colors ;
Adjustable line width ;
Selectable line style (solid, dashed, dotted, arrows);
Optional HTF labels displayed on the lines.
This allows you to see major market structure levels from higher timeframes without switching charts.
________________________________________________________________________________
4. Smart Timeframe Safety Checks
If a selected timeframe is lower than your current chart timeframe , its data is:
Disabled for S/R plotting ;
Shown in gray inside the Trend Panel;
Prevents invalid S/R calculations and ensures stable chart performance.
________________________________________________________________________________
⚙️ Customization Options :
Show/Hide the Trend Panel;
Panel placement anywhere on the chart;
Swing pivot type: High/Low or Close ;
Pivot lookback (left/right bars);
Choose five HTFs to analyze;
Enable/Disable HTF S/R;
Configure S/R color for each timeframe;
Line style + line width;
Pivot marker type + size;
Custom label styles + text scaling.
________________________________________________________________________________
✅ Benefits :
Perfect for traders who need instant multi-timeframe structure awareness ;
Reduces the need to constantly switch charts;
Works on all markets : crypto, stocks, forex, indices, futures;
Clean, modern, and intuitive visualization;
Helps confirm trend direction and key S/R levels at a glance.
________________________________________________________________________________
⚠️ Note
The indicator only displays S/R and trend data from higher timeframes relative to the current chart timeframe.
Adaptive Volume Trend - [RZ]Adaptive Volume Trend
Introduction
The Adaptive Volume Trend is a dynamic, volume-weighted trend detection indicator designed to identify significant directional shifts in market momentum. By integrating price and volume data into a single adaptive framework, it helps traders visualize when market participation supports upward or downward trends.
The indicator adapts to volatility conditions through statistical measures, offering a refined approach to trend confirmation beyond traditional moving averages.
Key Features
Dynamic Volume-Weighted Analysis : Utilizes a Volume-Weighted Moving Average (VWMA) combined with exponential smoothing to account for both price movement and traded volume.
Adaptive Thresholding : Implements a rolling standard deviation-based system that automatically adjusts sensitivity to volatility and market conditions.
Color-Coded Trend Visualization : Optional bar and line coloring dynamically represent bullish and bearish market states for intuitive chart interpretation.
Alert Conditions : Built-in alerts notify users when bullish or bearish thresholds are breached, enabling timely trading decisions.
Customizable Parameters : Users can modify VWMA length, smoothing period, threshold sensitivity, and color settings to align with their preferred trading style or asset characteristics.
How It Works
The indicator calculates a smoothed VWMA of the closing price weighted by trading volume, then compares the logarithmic deviation of price from this adaptive average. A dynamic standard deviation is applied over a defined period to establish upper and lower threshold bands that represent statistically significant price deviations.
When the oscillator crosses above the upper threshold, it signals potential bullish strength supported by rising volume.
When it falls below the lower threshold, it indicates bearish dominance or weakening momentum.
A scoring mechanism assigns values (+1 for bullish, –1 for bearish) which drive both bar and line color changes, providing immediate visual feedback.
The EMA overlay line, color-shifted by signal strength, further emphasizes ongoing directional trends.
This adaptive mechanism ensures responsiveness during high-volatility markets while filtering noise during consolidation phases.
ES
NVIDIA
GOLD
Conclusion
The Adaptive Volume Trend indicator offers traders a balanced, adaptive framework to analyze volume-backed price movements. By dynamically adjusting to volatility and market participation, it enhances the reliability of trend detection and visual clarity on charts. It serves as a valuable addition for traders seeking volume-informed trend confirmation and dynamic market structure insights.
Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. Past performance is not indicative of future results. Users should conduct their own analysis and manage risk appropriately before making any trading decisions.
EMA Cross + RSI + ADX - Autotrade Strategy V2Overview
A versatile trend-following strategy combining EMA 9/21 crossovers with RSI momentum filtering and optional ADX trend strength confirmation. Designed for both cryptocurrency and traditional futures/options markets with built-in stop loss management and automated position reversals.
Key Features
Multi-Market Compatibility: Works on both crypto futures (Bitcoin, Ethereum) and traditional markets (NIFTY, Bank NIFTY, S&P 500 futures, equity options)
Triple Confirmation System: EMA crossover + RSI filter + ADX strength (optional)
Automated Risk Management: 2% stop loss with wick-touch detection
Position Auto-Reversal: Opposite signals automatically close and reverse positions
Webhook Ready: Six distinct alert messages for automation (Entry Buy/Sell, Close Long/Short, SL Hit Long/Short)
Performance Metrics
NIFTY Futures (15min): 50%+ win rate with ADX filter OFF
Crypto Markets: Requires extensive backtesting before live deployment
Optimal Timeframes: 15-minute to 1-hour charts (patience required for higher timeframes)
Strategy Logic
Entry Signals:
LONG: EMA 9 crosses above EMA 21 + RSI > 55 + ADX > 20 (if enabled)
SHORT: EMA 9 crosses below EMA 21 + RSI < 45 + ADX > 20 (if enabled)
Exit Signals:
Opposite EMA crossover (auto-closes current position)
Stop loss hit at 2% from entry price (tracks candle wicks)
Technical Indicators:
Fast EMA: 9-period (short-term trend)
Slow EMA: 21-period (primary trend)
RSI: 14-period with 55/45 thresholds (momentum confirmation)
ADX: 14-period with 20 threshold (trend strength filter - optional)
Market-Specific Settings
Traditional Markets (NIFTY, Bank NIFTY, S&P Futures, Options)
Recommended Settings:
ADX Filter: Turn OFF (less choppy, cleaner trends)
Timeframe: 15-minute chart
Win Rate: 50%+ on NIFTY Futures
Why No ADX: Traditional markets have more institutional participation and smoother price action, making ADX unnecessary
Cryptocurrency Markets (BTC, ETH, Altcoins)
Recommended Settings:
ADX Filter: Turn ON (ADX > 20)
Timeframe: 15-minute to 1-hour
Extensive backtesting required before live trading
Why ADX: Crypto markets are highly volatile and prone to false breakouts; ADX filters low-quality chop
Best Practices
✅ Backtest thoroughly on your specific instrument and timeframe
✅ Use larger timeframes (1H, 4H) for higher quality signals and better risk/reward
✅ Adjust RSI thresholds based on market volatility (try 52/48 for more signals, 60/40 for fewer but stronger)
✅ Monitor ADX effectiveness - disable for traditional markets, enable for crypto
✅ Proper position sizing - adjust default_qty_value based on your capital and instrument price
✅ Paper trade first - test for 2-4 weeks before risking real capital
Risk Management
Fixed 2% stop loss per trade (adjustable)
Stop loss tracks candle wicks for accurate execution
Positions auto-reverse on opposite signals (no manual intervention needed)
0.075% commission built into backtest (adjust for your broker)
Customization Options
All parameters are adjustable via inputs:
EMA periods (default: 9/21)
RSI length and thresholds (default: 14-period, 55/45 levels)
ADX length and threshold (default: 14-period, 20 threshold)
Stop loss percentage (default: 2%)
Webhook Automation
This strategy includes six distinct alert messages for automated trading:
"Entry Buy" - Long position opened
"Entry Sell" - Short position opened
"Close Long" - Long position closed on opposite crossover
"Close Short" - Short position closed on opposite crossover
"SL Hit Long" - Long stop loss triggered
"SL Hit Short" - Short stop loss triggered
Compatible with Delta Exchange, Binance Futures, 3Commas, Alertatron, and other webhook platforms.
Important Notes
⚠️ Crypto markets require extensive backtesting - volatility patterns differ significantly from traditional markets
⚠️ Higher timeframes = better results - 15min works but 1H/4H provide cleaner signals
⚠️ ADX toggle is critical - OFF for traditional markets, ON for crypto
⚠️ Not financial advice - always conduct your own research and use proper risk management
⚠️ Past performance ≠ future results - backtest results may not reflect live trading conditions
Disclaimer
This strategy is for educational and informational purposes only. Trading futures and options involves substantial risk of loss. Always backtest thoroughly, start with paper trading, and never risk more than you can afford to lose. The author assumes no responsibility for any trading losses incurred using this strategy.
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
BUY/SELL/R/BBuy/Sell/R/B by SeanKidd
Purpose: A clean, anchored signal system combining StochRSI crossovers, CVI top/bottom detection, and a MACD direction line that moves with price.
⚙️ How It Works
BUY / SELL – Generated from a higher-timeframe StochRSI crossover.
BUY (Green) → %K crosses above %D
SELL (Red) → %K crosses below %D
R (Reverse) – Yellow “R” appears above the candle when the CVI model detects a local top or exhaustion point.
B (Bottom) – Blue “B” appears below the candle when CVI detects a local bottom.
MACD Direction Line –
Green = MACD above Signal → bullish momentum
Red = MACD below Signal → bearish momentum
The line rides just above the candles, offset by ATR so it always tracks price.
🧭 How to Use It
Add the indicator:
Search for Buy/Sell/R/B by SeanKidd under Community Scripts.
Click ★ to favorite it.
Apply it to your chart.
Open ⚙️ Settings → Inputs
Calculation Timeframe (StochRSI) → pick how fast or slow you want signals (default Weekly).
MACD Line Offset (ATR ×) → raise or lower the MACD line if it overlaps candles.
Adjust Top/Bottom thresholds to control how often R/B appear.
Toggle Highlight bars or Color candles for visual clarity.
Go to Settings → Scales and ensure it’s set to
✅ “Scale with Price Chart” or
✅ same scale side as the candles.
This keeps everything perfectly attached to the chart.
Optional: Add alerts
Create → Alert → Condition → Buy/Sell/R/B by SeanKidd
Choose: SRSI BUY, SRSI SELL, Top (R), or Bottom (B).
📈 Reading the Chart
Marker Meaning Color Position
BUY StochRSI %K cross above %D Lime Below bar
SELL StochRSI %K cross below %D Red Above bar
R CVI-detected top / reversal Yellow Above bar
B CVI-detected bottom Blue Below bar
Line MACD momentum direction Green/Red Above highs
💡 Tips
Works on any symbol or timeframe.
Slower charts (Daily–Weekly) give cleaner swing signals.
Faster charts (15m–1h) show short-term reversals.
Combine the MACD line direction with BUY/SELL for stronger confirmation.
Binary Options 1 Minute Signals [TradingFinder] 1 Min Strategy🔵 Introduction
At first sight, price movement in binary options appears random, but behind every move lies a clear logic of liquidity and market imbalance. The market is always driven by the hunt for liquidity and the continuous rebalancing that takes place around Fair Value Gaps (FVGs) and Order Blocks (OBs). These zones are where institutional activity is concentrated and where Smart Money creates the most significant reactions.
When price approaches a key liquidity zone, it often performs a Liquidity Sweep to capture orders resting around previous highs or lows. This move usually presents itself as a False Breakout. Price briefly breaks a level to trigger stop losses and collect liquidity, then quickly reverses direction. Understanding this false breakout behavior is essential for identifying high probability reversals in binary options trading.
After the liquidity sweep, price typically retraces into a Fair Value Gap or Order Block, where the market seeks balance and new orders are introduced. This interaction between liquidity, imbalance, and institutional order flow forms the core logic of every Smart Money trading model.
By focusing on Liquidity Sweeps, False Breakouts, and the structure of FVGs and OBs, traders can read the true intention behind price movements. What seems like random volatility becomes a structured cycle of liquidity collection and reaction, offering clear opportunities for precision-based binary entries.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This indicator works within the Smart Money framework and focuses on the connection between Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB).
It is created to help traders identify the moment when the market finishes collecting liquidity and begins to show signs of reversal.
The indicator studies how price behaves around zones where liquidity is concentrated, such as previous highs and lows or areas with visible inefficiency. When a clear reaction forms and a valid candle pattern confirms the shift in direction, the indicator generates a signal that represents the activity of Smart Money.
This tool does not respond to random volatility or noise. It waits for structure, liquidity and confirmation to align together before providing an entry. As a result, every signal has a logical base related to institutional order flow rather than ordinary price fluctuations. This approach allows traders to focus only on the movements that reflect true liquidity behavior.
🟣 Long Setup
A bullish setup takes place when the market moves downward and reaches a sell-side liquidity zone located below previous swing lows. In this area, price performs a Liquidity Sweep by moving under key levels to trigger stop losses and capture liquidity from trapped sellers.
This movement usually appears as a False Breakout because the market breaks below a level for a short moment and then quickly moves back inside the range.
Around this zone, a bullish Order Block or Fair Value Gap (FVG) often exists, showing where institutional demand is active.
When the indicator detects the presence of liquidity collection together with a valid bullish confirmation candle near an OB or FVG, it creates a Call signal.
This marks the moment when Smart Money is shifting from selling pressure to accumulation, and a strong bullish move often follows. For binary entries, the best opportunity usually comes immediately after the confirmation candle closes.
The reaction tends to happen quickly because the liquidity grab has completed and new institutional buying pressure is entering the market. This type of setup often provides a clean and precise entry with a high probability of success.
🟣 Short Setup
A bearish setup happens when the market rises and enters a buy-side liquidity area above previous highs. Here, the market performs a Liquidity Sweep to trigger stop losses placed above those highs and to absorb liquidity from trapped buyers.
This pattern forms what traders recognize as a False Breakout because the price only breaks the level temporarily before reversing in the opposite direction. A bearish Order Block or Fair Value Gap (FVG) often appears around this zone, showing where institutional selling interest exists.
Once the liquidity sweep completes and a bearish confirmation candle closes, the indicator produces a Put signal that reflects the shift from buying to selling pressure by Smart Money.
This moment often leads to a fast downward reaction as the market rebalances and fills the nearby inefficiency.
The most effective entry for binary trading is right after the confirmation candle closes, when the false breakout and liquidity collection are both completed. The price usually reacts sharply as the market transitions from liquidity hunting to a new directional move. This setup represents a structured view of how liquidity drives market cycles and how Smart Money creates precise reversals through controlled imbalance and reaction.
🔵 Settings
Time Frame : Defines the timeframe used for analysis. If left blank, the indicator automatically uses the chart’s current timeframe.
Swing Period : Determines how many candles are used to identify structural turning points such as swing highs and swing lows. Higher values increase accuracy but reduce the number of signals.
Signal Type : Specifies the type of signal generated by the indicator. The option All shows every signal, Main Signal displays only the primary one, and Alternative Signal produces a secondary signal that appears one candle after the main signal for additional confirmation.
Candle Pattern : Enables candle pattern logic for reversal confirmation. When active, the indicator issues a signal only when a valid candle formation confirms the market reaction.
Candle LookBack Check : Verifies that the last few candles move in the opposite direction of the signal to be generated. This condition acts as a confirmation filter, ensuring that the signal appears only after a clear counter-move in price.
Last Candle Direction : Considers the direction of the most recent candle in the analysis. It helps determine whether the final candle moves with or against the current trend.
Last Candle Shadow Ratio : Sets the ratio between the last candle’s wick and body to refine confirmation accuracy. Higher values require longer wicks, indicating stronger rejection and a more reliable reversal pattern.
🔵 Conclusion
Trading with Smart Money logic means understanding how liquidity moves through the market.
Each Liquidity Sweep, False Breakout, Fair Value Gap (FVG) and Order Block (OB) reflects the process of collecting and redistributing orders.
This indicator captures that sequence and turns it into precise, structured signals for binary entries. When liquidity is absorbed and a candle confirmation appears, the market reveals its true direction.
At that moment, traders can act with confidence, following institutional flow instead of reacting to random price moves.
Success with this system comes from patience, confirmation, and a clear reading of liquidity behavior, the core principles behind every Smart Money reversal.
Seasonality Range Marker For better Seasonality Analysation. To see Seasionality patterns in the chart.
MACD - Ostinato TradingMACD oscillator from Ostinato Trading, the classic momentum indicator. With this particular code you can superpose two different MACD and add a background to display cross of second indicator if you don't want to display it completely.
Machine Learning Moving Average [BackQuant]Machine Learning Moving Average
A powerful tool combining clustering, pseudo-machine learning, and adaptive prediction, enabling traders to understand and react to price behavior across multiple market regimes (Bullish, Neutral, Bearish). This script uses a dynamic clustering approach based on percentile thresholds and calculates an adaptive moving average, ideal for forecasting price movements with enhanced confidence levels.
What is Percentile Clustering?
Percentile clustering is a method that sorts and categorizes data into distinct groups based on its statistical distribution. In this script, the clustering process relies on the percentile values of a composite feature (based on technical indicators like RSI, CCI, ATR, etc.). By identifying key thresholds (lower and upper percentiles), the script assigns each data point (price movement) to a cluster (Bullish, Neutral, or Bearish), based on its proximity to these thresholds.
This approach mimics aspects of machine learning, where we “train” the model on past price behavior to predict future movements. The key difference is that this is not true machine learning; rather, it uses data-driven statistical techniques to "cluster" the market into patterns.
Why Percentile Clustering is Useful
Clustering price data into meaningful patterns (Bullish, Neutral, Bearish) helps traders visualize how price behavior can be grouped over time.
By leveraging past price behavior and technical indicators, percentile clustering adapts dynamically to evolving market conditions.
It helps you understand whether price behavior today aligns with past bullish or bearish trends, improving market context.
Clusters can be used to predict upcoming market conditions by identifying regimes with high confidence, improving entry/exit timing.
What This Script Does
Clustering Based on Percentiles : The script uses historical price data and various technical features to compute a "composite feature" for each bar. This feature is then sorted and clustered based on predefined percentile thresholds (e.g., 10th percentile for lower, 90th percentile for upper).
Cluster-Based Prediction : Once clustered, the script uses a weighted average, cluster momentum, or regime transition model to predict future price behavior over a specified number of bars.
Dynamic Moving Average : The script calculates a machine-learning-inspired moving average (MLMA) based on the current cluster, adjusting its behavior according to the cluster regime (Bullish, Neutral, Bearish).
Adaptive Confidence Levels : Confidence in the predicted return is calculated based on the distance between the current value and the other clusters. The further it is from the next closest cluster, the higher the confidence.
Visual Cluster Mapping : The script visually highlights different clusters on the chart with distinct colors for Bullish, Neutral, and Bearish regimes, and plots the MLMA line.
Prediction Output : It projects the predicted price based on the selected method and shows both predicted price and confidence percentage for each prediction horizon.
Trend Identification : Using the clustering output, the script colors the bars based on the current cluster to reflect whether the market is trending Bullish (green), Bearish (red), or is Neutral (gray).
How Traders Use It
Predicting Price Movements : The script provides traders with an idea of where prices might go based on past market behavior. Traders can use this forecast for short-term and long-term predictions, guiding their trades.
Clustering for Regime Analysis : Traders can identify whether the market is in a Bullish, Neutral, or Bearish regime, using that information to adjust trading strategies.
Adaptive Moving Average for Trend Following : The adaptive moving average can be used as a trend-following indicator, helping traders stay in the market when it’s aligned with the current trend (Bullish or Bearish).
Entry/Exit Strategy : By understanding the current cluster and its associated trend, traders can time entries and exits with higher precision, taking advantage of favorable conditions when the confidence in the predicted price is high.
Confidence for Risk Management : The confidence level associated with the predicted returns allows traders to manage risk better. Higher confidence levels indicate stronger market conditions, which can lead to higher position sizes.
Pseudo Machine Learning Aspect
While the script does not use conventional machine learning models (e.g., neural networks or decision trees), it mimics certain aspects of machine learning in its approach. By using clustering and the dynamic adjustment of a moving average, the model learns from historical data to adjust predictions for future price behavior. The "learning" comes from how the script uses past price data (and technical indicators) to create patterns (clusters) and predict future market movements based on those patterns.
Why This Is Important for Traders
Understanding market regimes helps to adjust trading strategies in a way that adapts to current market conditions.
Forecasting price behavior provides an additional edge, enabling traders to time entries and exits based on predicted price movements.
By leveraging the clustering technique, traders can separate noise from signal, improving the reliability of trading signals.
The combination of clustering and predictive modeling in one tool reduces the complexity for traders, allowing them to focus on actionable insights rather than manual analysis.
How to Interpret the Output
Bullish (Green) Zone : When the price behavior clusters into the Bullish zone, expect upward price movement. The MLMA line will help confirm if the trend remains upward.
Bearish (Red) Zone : When the price behavior clusters into the Bearish zone, expect downward price movement. The MLMA line will assist in tracking any downward trends.
Neutral (Gray) Zone : A neutral market condition signals indecision or range-bound behavior. The MLMA line can help track any potential breakouts or trend reversals.
Predicted Price : The projected price is shown on the chart, based on the cluster's predicted behavior. This provides a useful reference for where the price might move in the near future.
Prediction Confidence : The confidence percentage helps you gauge the reliability of the predicted price. A higher percentage indicates stronger market confidence in the forecasted move.
Tips for Use
Combining with Other Indicators : Use the output of this indicator in combination with your existing strategy (e.g., RSI, MACD, or moving averages) to enhance signal accuracy.
Position Sizing with Confidence : Increase position size when the prediction confidence is high, and decrease size when it’s low, based on the confidence interval.
Regime-Based Strategy : Consider developing a multi-strategy approach where you use this tool for Bullish or Bearish regimes and a separate strategy for Neutral markets.
Optimization : Adjust the lookback period and percentile settings to optimize the clustering algorithm based on your asset’s characteristics.
Conclusion
The Machine Learning Moving Average offers a novel approach to price prediction by leveraging percentile clustering and a dynamically adapting moving average. While not a traditional machine learning model, this tool mimics the adaptive behavior of machine learning by adjusting to evolving market conditions, helping traders predict price movements and identify trends with improved confidence and accuracy.
Binary Options Gold Scalping [TradingFinder] 1 & 5 Min Strategy🔵 Introduction
In binary options trading, price movements are often driven by the market’s tendency to reach key liquidity zones. These areas include Liquidity, Fair Value Gaps (FVGs), and Order Blocks (OBs), zones where a large number of pending orders are concentrated.
When price reaches one of these zones, it typically enters a Liquidity Sweep phase to collect available liquidity. After this process, the market often reacts sharply, either reversing direction or continuing its move with renewed momentum. Understanding this cycle forms the foundation of most smart money-based binary options strategies.
In this analytical approach, a Liquidity Sweep is usually seen as a False Breakout, often recognized through a distinctive candle confirmation pattern. The pattern appears when price briefly breaks a level to trigger stops, then quickly returns within range. This formation is one of the most reliable reversal signals for short-term trades and plays a central role in many binary options strategies.
After a liquidity sweep, price often returns to Fair Value Gap (FVG) or Order Block (OB) areas to restore balance in the market. These are zones where institutional orders are typically placed, and reactions around them can create high-probability trade setups. In binary options trading, this quick reaction following a sweep and retrace into an FVG or OB provides one of the best entry opportunities for short-term trades.
By combining the concepts of Liquidity Sweep, Fair Value Gap, and Order Block, traders can build a precise binary options strategy based on smart money behavior, allowing them to identify market reversals with greater confidence and enter at the optimal moment.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This indicator is built on the Smart Money Concept (SMC) framework and serves as a core tool for accurately detecting Liquidity Sweeps, Order Blocks, and Fair Value Gaps in binary options trading.
Its logic is simple yet powerful : when price reaches high-interest liquidity zones and shows reversal signs, the indicator issues an entry signal immediately after a Candle Confirmation is complete.
Signals only activate when both the market structure and the candle confirmation pattern align, ensuring high accuracy in spotting genuine reversals.
🟣 Long Position
A bullish signal appears when the market, after a downward move, reaches sell-side liquidity zones where liquidity has built up below previous lows. In such conditions, a bullish Order Block or Fair Value Gap often exists in the same region, acting as a potential reversal point.
When the indicator detects the presence of liquidity, an imbalance zone (FVG), and a valid candle confirmation simultaneously, it triggers a green Call signal.
In a binary options strategy, the best entry moment is immediately after the candle confirmation closes, as this is when the probability of reversal is highest and the market tends to react strongly within the next few candles.
In the example below, after the liquidity sweep and candle confirmation, price quickly rallied, resulting in a Binary Win setup.
🟣 Short Position
A bearish signal occurs when price, after an upward move, reaches an area of buy-side liquidity and collects liquidity above recent highs. At this stage, the market is typically overbought and ready to reverse. If a bearish Order Block or Fair Value Gap exists in the same area and a candle confirmation pattern forms, the indicator displays a red Put signal.
This setup is highly accurate because multiple structural confirmations occur simultaneously : liquidity has been absorbed, price is rebalancing, and the confirmation candle has closed.
In binary options trading, this is the ideal moment to enter a Put (Sell) position, as the price reaction to the downside is usually quick and decisive.
In the example chart, the indicator generated a bearish signal right after the candle confirmation and completion of the liquidity sweep, price then dropped within minutes, resulting in another Binary Win.
🔵 Settings
Time Frame : Select the desired timeframe for analysis. If left blank, the indicator uses the chart’s current timeframe.
Swing Period : Defines how many candles are used to detect structural pivots (swing highs and lows). A higher value increases accuracy but reduces the number of signals.
Candle Pattern : Enables candle-based confirmation logic. When turned on, the indicator issues signals only if a valid reversal pattern is detected. You can also choose the confirmation filter strength, tighter filters show fewer but more precise signals.
🔵 Conclusion
A deep understanding of Liquidity Sweeps, Order Blocks, and Fair Value Gaps can make a decisive difference between ordinary and professional traders in the binary options market.
This indicator, combining smart money logic with candle confirmation, is one of the most precise tools for detecting true market reversals. When liquidity is collected and structural reversal signs emerge, the indicator automatically recognizes the price reaction and generates a reliable Call or Put signal.
Using this tool alongside market structure analysis and FVG detection allows traders to enter high-probability setups while filtering out false breakouts. For that reason, this binary options strategy is not only suitable for short-term trading but also valuable for understanding deeper smart-money behavior across timeframes.
Ultimately, success with this system comes down to two key principles: understanding the logic of the liquidity sweep and waiting for the candle confirmation to close. When these two conditions align, the indicator can pinpoint the best entry points with remarkable precision, helping you build a structured, intelligent, and profitable binary options strategy.
PO3 Entry 15m + Time Lines - Range Logic TradingPO3 Entry 15m + Time Lines - Professional Indicator for NY Sessions
🎯 DESCRIPTION:
Advanced indicator designed for traders operating in New York sessions. Combines customizable trading zones with key time lines for perfect visual management of your strategy.
🌟 KEY FEATURES:
🕒 STRATEGIC TIME LINES
Vertical lines at key times: 1:00 AM, 5:00 AM, and 9:00 AM (NY Time)
Perfect for identifying 4H candle openings and session changes
Configurable colors and styles (solid, dashed, dotted)
Visible only for the last 5 days to keep charts clean
📊 10 CUSTOMIZABLE TRADING ZONES
10 fully configurable zones with specific time ranges
Each zone displays an expanding box during its active period
Automatic High/Low tracking during zone duration
Informative labels with customizable names
Individual colors and styles for each zone
⚙️ COMPLETE CONFIGURATION:
Time Zone: America/New_York, UTC, Europe/London, Asia/Tokyo
Days to Show: 1-30 days (5 by default)
Individual activation for each zone and time lines
Customizable colors for every element
Line Styles: Solid, Dashed, Dotted
🎨 PROFESSIONAL VISUALIZATION:
Semi-transparent boxes that don't obstruct price action
Extendable lines from top to bottom of chart
Automatic daily reset to prevent accumulation
500 box limit for optimal performance
📈 IDEAL FOR:
NY Session traders (1:00 AM - 12:00 PM EST)
Time-based trading strategies
Visual identification of interest zones
Session management and planning
🛠️ RECOMMENDED USE:
Configure the 10 zones with your trading hours
Activate time lines for visual reference
Adjust colors according to your preference
Set days to display based on your strategy
Optimize your trading with this all-in-one indicator that combines time precision with flexible custom trading zones!
Killzone Session High/Low Levels [SmartFoxy]Killzone Session High/Low Levels
The Killzone Session High/Low Levels indicator by SmartFoxy provides a complete intraday framework for understanding session-based liquidity, market structure rotation, and breakout behavior across global trading sessions.
It automatically plots the High/Low ranges for each selected session, highlights session killzones, and tracks breakout events with optional alerts.
This tool is designed for traders who rely on session dynamics (Asia, Frankfurt, London, New York) to identify liquidity targets, sweep zones, key ranges, and continuation/reversal opportunities.
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How It Works
The indicator detects the active trading sessions for each day and builds structural High/Low ranges for them:
• Asia Session Range (High/Low);
• Frankfurt Session Range;
• London Session Range;
• New York Session Range;
• Optional custom session (NY Open, or any killzone).
For each session, the script can display:
• Session box or column;
• High/Low levels;
• Labels for every range (H/L);
• True session boundaries using user-defined timezone;
• Auto-extended levels up to the latest candle;
• Break levels after a breakout;
• Conditional removal or recoloring after a level is breached.
This gives traders a clean visual map of session liquidity and how price interacts with it throughout the day.
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Key Features
1. Multiple Global Sessions •➤ Asia, Frankfurt, London, New York, plus one custom session for advanced killzone mapping.
2. Session High/Low Liquidity Levels •➤ Automatic plotting of every session’s High and Low, with optional labels and price markers.
3. Session Boxes or Columns •➤ Two display modes allow traders to visualize the session either as a filled box or a clear vertical column.
4. Breakout Logic & Temporary Levels .
When price breaks a session High/Low:
• Levels can be extended for a selected number of bars
• Or removed instantly after a breakout
• Or recolored to highlight the sweep event
This enables clean identification of liquidity grabs, breakouts, and continuation setups.
5. Alerts for Session Breakouts .
Set alerts when price breaks:
• Any session level
• Only levels formed on the current day
Perfect for traders who want real-time notifications of sweeps or key structure breaks.
6. Full Customization
You can configure:
• Session times;
• Timezone;
• Colors;
• Labels;
• Line styles and widths;
• Breakout behavior;
• Killzone range handling.
Everything is adjustable to match any trading style.
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How to Use
1. Enable the sessions you want to track •➤ Asia, Frankfurt, London, New York, or custom.
2. Choose display mode
Box mode for visual range blocks;
Column mode for clean vertical alignment.
3. Enable High/Low Levels .
These act as liquidity magnets and key rejection zones.
4. Turn on Breakout Levels (optional)
Useful for spotting sweeps and continuation setups.
5. Turn on Alerts if you want notifications when price breaks levels.
6. Use session levels as liquidity reference points .
They work exceptionally well with smart money concepts (SMC), ICT, and intraday structure analysis.
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Why This Indicator Is Useful
Shows exactly where liquidity is placed each session;
Highlights market structure transitions as sessions hand over control;
Helps identify stop hunts, sweeps, reversals, and continuation patterns;
Provides real-time alerts for structural breaks;
Organizes the chart and reduces noise;
Works with any intraday timeframe and any market.
This makes it valuable for scalpers, day traders, and SMC/ICT-style analysts.
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Summary
Killzone Session High/Low Levels delivers a complete, highly customizable intraday mapping system based on global trading sessions.
It clarifies the session structure, reveals liquidity targets, and empowers traders to make confident trading decisions using clean, objective market data.
MTF Liquidity Levels Pro (D/W/M) [SmartFoxy]✅ SCRIPT DESCRIPTION (Premium MTF High-Low Levels)
Overview
This indicator automatically plots key High/Low levels across three major timeframes:
Daily (D) , Weekly (W) , and Monthly (M) .
It includes:
• Current period highs/lows (DH/DL, WH/WL, MH/ML);
• Previous period highs/lows (PDH/PDL, PWH/PWL, PMH/PML);
• Open levels (Day Open, Day True Open, Week Open, Month Open);
• Visual elements such as separators, period boxes, labels, and price markers;
• A fully customizable breakout alert system .
The indicator is designed for precise market structure analysis with a focus on liquidity, MTF mechanics, and clean price action.
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How It Works
The script tracks historical High/Low levels on each timeframe and displays:
✅ Current High/Low Levels :
Daily;
Weekly;
Monthly.
✅ Previous High/Low levels from the previous day, week, and month:
PDH / PDL;
PWH / PWL;
PMH / PML.
You can select how many previous levels to display (1, 2, 3…).
✅ Open Levels:
Day Open;
Week Open;
Month Open.
Includes optional True Day Open with time offset.
✅ Visual Period Boxes highlighting each session (Day Box, Week Box, Month Box) to help identify intraday and intraperiod structure.
✅ Vertical Separators for the start of each day, week, and month.
✅ Customizable Labels & Price Markers with positions, sizes, and optional price display.
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Alerts
A flexible alert module is built in:
✅ Breakout of Any Previous Level (D/W/M) •➤ Triggers when price breaks any previous High/Low:
PDH/PDL;
PWH/PWL;
PMH/PML.
✅ Breakout of Previous Level 1 (D/W/M) •➤ Triggers only for the closest previous levels:
PDH1/PDL1;
PWH1/PWL1;
PMH1/PML1.
✅ Custom Breakout •➤ Choose a specific level:
PDH / PDL;
PWH / PWL;
PMH / PML.
and select which level number (1, 2, 3…) the alert should track.
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How to Use
Select which timeframes (D/W/M) to display.
Choose how many previous levels to plot.
Enable Open, Boxes, Separators, or Labels as needed.
Enable True Day Open with offset if required.
Activate Alerts and choose the breakout logic:
• All previous levels;
• Only the nearest level;
• Custom level selection.
Create an alert in TradingView using “Any alert() function call”.
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Why This Indicator Is Useful
✅ Instantly reveals key High/Low liquidity zones across multiple timeframes
✅ Helps synchronize market structure across D/W/M levels
✅ Useful for identifying impulses, breakouts, reversals, and liquidity runs
✅ Highlights levels price frequently revisits
✅ Eliminates the need for additional MTF tools
✅ Alerts automate breakout detection for both intraday and swing traders
Suitable for all markets : Forex, Crypto, Indices, Stocks, Futures.
Multi-Mode Seasonality Map [BackQuant]Multi-Mode Seasonality Map
A fast, visual way to expose repeatable calendar patterns in returns, volatility, volume, and range across multiple granularities (Day of Week, Day of Month, Hour of Day, Week of Month). Built for idea generation, regime context, and execution timing.
What is “seasonality” in markets?
Seasonality refers to statistically repeatable patterns tied to the calendar or clock, rather than to price levels. Examples include specific weekdays tending to be stronger, certain hours showing higher realized volatility, or month-end flow boosting volumes. This tool measures those effects directly on your charted symbol.
Why seasonality matters
It’s orthogonal alpha: timing edges independent of price structure that can complement trend, mean reversion, or flow-based setups.
It frames expectations: when a session typically runs hot or cold, you size and pace risk accordingly.
It improves execution: entering during historically favorable windows, avoiding historically noisy windows.
It clarifies context: separating normal “calendar noise” from true anomaly helps avoid overreacting to routine moves.
How traders use seasonality in practice
Timing entries/exits : If Tuesday morning is historically weak for this asset, a mean-reversion buyer may wait for that drift to complete before entering.
Sizing & stops : If 13:00–15:00 shows elevated volatility, widen stops or reduce size to maintain constant risk.
Session playbooks : Build repeatable routines around the hours/days that consistently drive PnL.
Portfolio rotation : Compare seasonal edges across assets to schedule focus and deploy attention where the calendar favors you.
Why Day-of-Week (DOW) can be especially helpful
Flows cluster by weekday (ETF creations/redemptions, options hedging cadence, futures roll patterns, macro data releases), so DOW often encodes a stable micro-structure signal.
Desk behavior and liquidity provision differ by weekday, impacting realized range and slippage.
DOW is simple to operationalize: easy rules like “fade Monday afternoon chop” or “press Thursday trend extension” can be tested and enforced.
What this indicator does
Multi-mode heatmaps : Switch between Day of Week, Day of Month, Hour of Day, Week of Month .
Metric selection : Analyze Returns , Volatility ((high-low)/open), Volume (vs 20-bar average), or Range (vs 20-bar average).
Confidence intervals : Per cell, compute mean, standard deviation, and a z-based CI at your chosen confidence level.
Sample guards : Enforce a minimum sample size so thin data doesn’t mislead.
Readable map : Color palettes, value labels, sample size, and an optional legend for fast interpretation.
Scoreboard : Optional table highlights best/worst DOW and today’s seasonality with CI and a simple “edge” tag.
How it’s calculated (under the hood)
Per bar, compute the chosen metric (return, vol, volume %, or range %) over your lookback window.
Bucket that metric into the active calendar bin (e.g., Tuesday, the 15th, 10:00 hour, or Week-2 of month).
For each bin, accumulate sum , sum of squares , and count , then at render compute mean , std dev , and confidence interval .
Color scale normalizes to the observed min/max of eligible bins (those meeting the minimum sample size).
How to read the heatmap
Color : Greener/warmer typically implies higher mean value for the chosen metric; cooler implies lower.
Value label : The center number is the bin’s mean (e.g., average % return for Tuesdays).
Confidence bracket : Optional “ ” shows the CI for the mean, helping you gauge stability.
n = sample size : More samples = more reliability. Treat small-n bins with skepticism.
Suggested workflows
Pick the lens : Start with Analysis Type = Returns , Heatmap View = Day of Week , lookback ≈ 252 trading days . Note the best/worst weekdays and their CI width.
Sanity-check volatility : Switch to Volatility to see which bins carry the most realized range. Use that to plan stop width and trade pacing.
Check liquidity proxy : Flip to Volume , identify thin vs thick windows. Execute risk in thicker windows to reduce slippage.
Drill to intraday : Use Hour of Day to reveal opening bursts, lunchtime lulls, and closing ramps. Combine with your main strategy to schedule entries.
Calendar nuance : Inspect Week of Month and Day of Month for end-of-month, options-cycle, or data-release effects.
Codify rules : Translate stable edges into rules like “no fresh risk during bottom-quartile hours” or “scale entries during top-quartile hours.”
Parameter guidance
Analysis Period (Days) : 252 for a one-year view. Shorten (100–150) to emphasize the current regime; lengthen (500+) for long-memory effects.
Heatmap View : Start with DOW for robustness, then refine with Hour-of-Day for your execution window.
Confidence Level : 95% is standard; use 90% if you want wider coverage with fewer false “insufficient data” bins.
Min Sample Size : 10–20 helps filter noise. For Hour-of-Day on higher timeframes, consider lowering if your dataset is small.
Color Scheme : Choose a palette with good mid-tone contrast (e.g., Red-Green or Viridis) for quick thresholding.
Interpreting common patterns
Return-positive but low-vol bins : Favorable drift windows for passive adds or tight-stop trend continuation.
Return-flat but high-vol bins : Opportunity for mean reversion or breakout scalping, but manage risk accordingly.
High-volume bins : Better expected execution quality; schedule size here if slippage matters.
Wide CI : Edge is unstable or sample is thin; treat as exploratory until more data accumulates.
Best practices
Revalidate after regime shifts (new macro cycle, liquidity regime change, major exchange microstructure updates).
Use multiple lenses: DOW to find the day, then Hour-of-Day to refine the entry window.
Combine with your core setup signals; treat seasonality as a filter or weight, not a standalone trigger.
Test across assets/timeframes—edges are instrument-specific and may not transfer 1:1.
Limitations & notes
History-dependent: short histories or sparse intraday data reduce reliability.
Not causal: a hot Tuesday doesn’t guarantee future Tuesday strength; treat as probabilistic bias.
Aggregation bias: changing session hours or symbol migrations can distort older samples.
CI is z-approximate: good for fast triage, not a substitute for full hypothesis testing.
Quick setup
Use Returns + Day of Week + 252d to get a clean yearly map of weekday edge.
Flip to Hour of Day on intraday charts to schedule precise entries/exits.
Keep Show Values and Confidence Intervals on while you calibrate; hide later for a clean visual.
The Multi-Mode Seasonality Map helps you convert the calendar from an afterthought into a quantitative edge, surfacing when an asset tends to move, expand, or stay quiet—so you can plan, size, and execute with intent.
Previous D/W/M HLOCHey traders,
Here's a simple Multi-Timeframe indicator that essentially turns time and price into a box. It'll take the previous high, low, opening price, or closing price from one of the three timeframes of your choice (day, week, or month). For whatever reason I can't get the opening price to function consistently so if you find improvements feel free to let me know, this will help traders who prefer to use opening price over closing price.
Naturally this form of charting is classical and nature and some key figures you could use to study its usage are
- Richard W. Schabacker (1930s)
- Edwards & Magee (1948)
- Peter Brandt
- Stacey Burke (more on the intraday side - typically our preference)
It's usage put plainly:
- Quantifying Accumulation or Distribution
- Revealing Energy Build-Up (Compression)
- Framing Breakouts and False Breakouts
- Structuring Time
- Identifying opportunities to trade a daily, weekly, or monthly range.
Demand/Supply Oscillator_immyDemand/Supply Oscillator, probably the only D/S oscillator on TV which doesn't draw the lines on the chart but to show you the actual reasons behind the price moves.
Concept Overview
A demand/supply oscillator would aim to look for the hidden spots/order which institutes place in small quantities to not to upset the trend and suddenly place one big order to liquidate the retailers and make a final big move.
The lite color candles in histogram shows the hidden demand/supply which is the reason behind the sudden price pullback, even for short period of time.
Measure demand and supply based on volume, price movement, or candle structure
Identify price waves or impulses (e.g., using fractals, zigzag, or swing high/low logic)
Detect hidden demand/supply (e.g., low volume pullbacks or absorption zones)
Plotted on histogram boxes to visualize strength and direction of each wave
What “Hidden Demand” Means?
Hidden demand refers to buying pressure that isn’t immediately obvious from price action — in other words, buyers are active “behind the scenes” even though the price doesn’t yet show strong upward movement.
What Hidden supply Means?
refers to selling pressure that isn’t obvious yet on the price chart. It means smart money (big players) are quietly selling or distributing positions, even though the price might not be dropping sharply yet.
It usually appears when:
The price is pulling back slightly (down candle),
But volume or an oscillator (like RSI, MACD, or OBV) shows bullish strength (e.g., higher low or positive divergence).
That suggests smart money is accumulating (buying quietly) while the public may think it’s just a normal dip.
💹 Price Reaction — Up or Down?
If there is hidden demand, it’s generally a bullish signal → meaning price is likely to go up afterward.
However, on that exact candle, the price may still be down or neutral, because:
Hidden demand is “hidden” — buyers are absorbing supply quietly.
The move up usually comes after the hidden demand signal, not necessarily on the same candle.
📊 Example
Suppose:
Price makes a slightly lower low,
But RSI makes a higher low → this is bullish (hidden) divergence, or “hidden demand.”
➡️ Interpretation:
Smart buyers are stepping in → next few candles likely move up.
The current candle might still be red or show a small body — that’s okay. The key is the shift in underlying strength.
🧭 Quick Summary
Term Meaning Candle Effect Expected Move After
Hidden Demand Buyers active below surface Candle may still go down or stay flat
Hidden Supply Sellers active behind the scenes Price likely to rise soon
🛠️ Key Components
Best results with Price/Action e.g. Use swing high/low or zigzag to segment price into waves.
Optionally apply fractal logic for more refined wave detection
Combine with other indicators (e.g., RSI, OBV) for confirmation
Include zone strength metrics (e.g., “Power Number” as seen in some indicators)
Demand/Supply Calculation
Demand: Strong bullish candles, increasing volume, breakout zones
Supply: Strong bearish candles, volume spikes on down moves
Hidden Demand/Supply: Pullbacks with low volume or absorption candles
Histogram Visualization
Use plot() or plotshape() to draw histogram bars
Color-code bars: e.g., green for demand, red for supply, lite colors for hidden zones
Add alerts for wave transitions or hidden zone detection
How It Works
Demand/Supply: Detected when price moves strongly with volume spikes.
Hidden Zones: Detected when price moves but volume is low (potential absorption).
Histogram Values:
+2: Strong Demand
+1: Hidden Demand
-1: Hidden Supply
-2: Strong Supply
0: Neutral
Feature Demand (Visible) Hidden Demand
Visibility Clearly seen on price charts Subtle, often masked in consolidation
Participants Retail + Institutional Primarily Institutional
Price Behavior Sharp rallies from zone Sideways movement, low volatility
Tools to Identify Candlestick patterns, support zones Volume profile, order flow, price clusters
Risk/Reward Moderate (widely known) High (less crowded, early entry potential)
