Crosses Open Daily (shock points OD)It is an indicator that works to alert you when an asset, during the day, crosses or approaches the daily open again.
Analizy Trendu
Adaptive Market Structure Channel By S B PrasadAdaptive Market Structure Channel (AMSC)
Institutional-Grade Trend, Volatility & Liquidity Framework
Overview
The Adaptive Market Structure Channel (AMSC) is a multi-engine, adaptive trading framework designed to read market structure, volatility, liquidity, and trend strength in real time.
It integrates ATR-based channels, pivot structure, supply–demand zones, liquidity sweeps, multi-factor momentum, and higher-timeframe confirmation into a single, coherent visual system.
AMSC is not a single-indicator strategy.
It is a context-driven decision framework intended to help traders align entries with dominant trend, structural levels, and institutional activity.
Core Components
1️⃣ Adaptive ATR Trend Channel
Dynamic ATR-based support & resistance
Automatically adjusts to volatility
Color-coded trend strength (strong / weak regimes)
Acts as the primary trend bias filter
2️⃣ Pivot-Based ATR Trend Channels
Channels built from confirmed pivot highs and lows
ATR-expanded structure, not fixed slopes
Separates impulse moves from corrections
Useful for trend continuation and pullback trades
3️⃣ Market Structure: Supply & Demand Zones
Automatically plots fresh demand and supply zones
Zones extend forward until violated
Helps identify high-probability reaction areas
Used as a location filter, not a standalone signal
4️⃣ Liquidity Sweep Detection (Smart Money Logic)
Identifies equal high / equal low liquidity pools
Detects stop-hunt style sweeps
Validates sweeps only when price reacts from structure zones
Prevents chasing false breakouts
5️⃣ Multi-Factor Trend Confirmation Engine
Combines:
EMA structure
MACD momentum
RSI regime
VWAP positioning
Optional ribbon & HMA filters
Signals are generated only when a majority of factors align, avoiding single-indicator bias.
6️⃣ Volatility Context (Bollinger Bands)
Provides volatility expansion / contraction context
Helps distinguish trend continuation vs compression
Works as a background regime filter
7️⃣ Higher Timeframe Confirmation
Confirms trend using a user-selected HTF
Prevents counter-trend trades during strong HTF bias
Essential for intraday and swing traders
8️⃣ Session-Aware Trading
Optional India, London, and New York session filters
Signals only during active market participation
Avoids low-liquidity false signals
9️⃣ Professional Dashboard
Real-time display of:
Trend direction
Trend strength
Factor alignment
HTF bias
Active zone
Trade signal
Session status
Designed for quick decision-making, not clutter.
How to Use AMSC (Best Practice)
✔ Trade in the direction of the ATR trend
✔ Enter near demand/supply within the channel
✔ Confirm with factor alignment & HTF bias
✔ Use liquidity sweeps as entry triggers, not signals alone
✔ Avoid trades during low-strength or inactive sessions
AMSC performs best when used as a confluence system, not a mechanical entry-exit robot.
Ideal Use Cases
Intraday index trading
Swing trading in trending markets
Futures & FX structure-based trading
Traders who prefer context over indicators
What AMSC Is NOT
❌ Not a scalping toy
❌ Not a repainting indicator
❌ Not a one-click signal generator
It is built for disciplined traders who understand structure and risk.
Final Note
AMSC is designed to think like the market, not predict it.
Use it to read conditions, not chase signals.
MSC — BEST CLEAN SETUP (RECOMMENDED)
🎯 Design Philosophy
“Context first, signals last.”
The goal is to:
Read trend & structure at a glance
Avoid indicator overload
Let price + zones + channel do the heavy lifting
1️⃣ CORE VISUALS (KEEP ON)
These are non-negotiable.
🔹 Adaptive ATR Trend Channel
✅ ON
Primary trend bias
Use ATR Trendline Color = ON
This alone defines:
Bull vs Bear
Strength vs weakness
👉 If price is above channel → bullish context
👉 If price is below channel → bearish context
🔹 Pivot ATR Trend Channel
✅ ON
Channel fill: ON
Transparency ≥ 85
Purpose:
Visualise trend slope
Spot pullbacks inside trend
👉 Treat channel edges as dynamic structure, not entry signals.
🔹 Supply & Demand Zones
✅ ON
Transparency: 80–85
Zones auto-expire visually when violated
👉 These are your only horizontal levels.
2️⃣ SMART FILTERS (SELECTIVE)
💧 Liquidity Sweep
✅ ON
Lookback: 5
Tolerance: 0.15 ATR
👉 Use sweeps only near zones
❌ Ignore sweeps in the middle of nowhere
⏱ Session Filter
✅ ON
Trade only one session
India (for NSE)
London (for FX)
New York (for US indices)
❌ Do NOT enable multiple sessions simultaneously
🔍 Higher Timeframe (HTF)
✅ ON
Intraday: Daily
Swing: Weekly
👉 If HTF disagrees → no trade
3️⃣ WHAT TO TURN OFF (CRITICAL)
This is where clutter dies.
❌ Bollinger Bands
🚫 OFF by default
Use only when studying volatility compression
Otherwise adds visual noise
❌ Full ATR Channel (Ver 15)
🚫 OFF
Redundant with pivot + ATR trend
Keep only one channel logic
❌ SuperTrend Channel
🚫 OFF
ATR Trend Channel already covers this
❌ Pivot Levels (P, R1, S1…)
🚫 OFF
Zones replace static pivots
Too many horizontal lines = paralysis
❌ Previous Day / Week Levels
🚫 OFF
Turn ON only for index option trading
Otherwise clutter
4️⃣ MOVING AVERAGES (STRICT RULE)
Keep ONLY:
EMA Fast (9)
EMA Slow (21)
Optional:
HMA → ON only for scalping
❌ Do NOT stack multiple MAs visually
5️⃣ DASHBOARD (MINIMAL MODE)
🧭 Dashboard
✅ ON
Position: Top Right
Text Size: Small
Watch only:
Trend
Strength
HTF
Zone
Signal
Ignore factor numbers once confidence develops.
6️⃣ SIGNAL USAGE (DISCIPLINE RULE)
✔ Signal must appear inside a zone
✔ Signal must align with trend & HTF
✔ Signal must be during session
❌ Never take:
Signals mid-channel
Signals against HTF
Signals during flat strength (<30%)
7️⃣ RECOMMENDED PRESETS (COPY THIS)
🔹 Intraday (Clean)
Timeframe: 5m / 15m
HTF: Daily
Session: India / NY
BB: OFF
Full ATR: OFF
SuperTrend: OFF
Pivots: OFF
🔹 Swing (Ultra Clean)
Timeframe: 1H / 4H
HTF: Weekly
Liquidity: ON
Zones: ON
Dashboard: ON (small)
8️⃣ GOLDEN RULE (MOST IMPORTANT)
If you cannot explain the trade using only:
Trend channel
One zone
One sweep
Do not trade it.
🏁 FINAL VERDICT
AMSC is not cluttered by design.
Clutter comes from turning everything ON.
Used correctly:
The chart stays clean
Decisions become obvious
Overtrading disappears
AMSC – TRADE EXECUTION RULEBOOK
Framework rule:
Trend → Structure → Liquidity → Entry → Risk → Exit
1️⃣ MARKET PRE-CONDITIONS (MANDATORY)
❌ NO TRADE unless ALL are TRUE
✅ Trend Filter
ATR Trend Channel = Bull for longs / Bear for shorts
Trend strength ≥ 40%
Price must be on the correct side of the channel
✅ HTF Confirmation
HTF bias must match LTF trend
If HTF is neutral → NO TRADE
✅ Session Filter
Trade only during active session
No first 5 minutes after session open
No last 15 minutes before session close
2️⃣ LOCATION RULE (MOST IMPORTANT)
🔹 Long Trades
Price must be inside or just above a DEMAND zone
Zone must be:
Fresh (not tested more than twice)
Within the Pivot ATR Channel
🔹 Short Trades
Price must be inside or just below a SUPPLY zone
Same freshness rules apply
❌ No zone → no trade
3️⃣ LIQUIDITY CONFIRMATION (ENTRY TRIGGER)
🔹 Long Entry Trigger
At the demand zone, you must see:
✔ Sell-side liquidity sweep
✔ Sweep candle closes bullish
✔ Sweep occurs inside the zone
🔹 Short Entry Trigger
At the supply zone, you must see:
✔ Buy-side liquidity sweep
✔ Sweep candle closes bearish
✔ Sweep occurs inside the zone
4️⃣ ENTRY RULE (EXECUTION)
🔵 LONG ENTRY
Enter BUY when all conditions align and:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle (preferred)
🔴 SHORT ENTRY
Enter SELL when:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle
5️⃣ STOP-LOSS RULES (NON-NEGOTIABLE)
🔻 Long SL
Place SL at:
Lowest point of the demand zone
OR
Below sweep low − 0.1 ATR (whichever is lower)
🔺 Short SL
Place SL at:
Highest point of the supply zone
OR
Above sweep high + 0.1 ATR (whichever is higher)
❌ Never trail SL early
❌ Never move SL to break-even before partial exit
6️⃣ POSITION SIZE (FIXED RISK ONLY)
Risk per trade: 0.5% – 1% max
If SL distance is large → reduce position size
Do not widen SL to fit position
7️⃣ EXIT RULES (STRUCTURED)
🎯 TARGET 1 (T1 – Protection)
At 1R
Action:
Book 50%
Move SL to Break-Even
🎯 TARGET 2 (T2 – Structure)
Next opposite zone
OR
Pivot ATR Channel mid-line
Book 30%
🎯 FINAL EXIT (TREND FOLLOW)
Exit remaining 20% when:
✔ Opposite liquidity sweep occurs
✔ Price closes beyond Pivot ATR Channel
✔ HTF bias flips
✔ Session ends
8️⃣ NO-TRADE CONDITIONS (ABSOLUTE)
❌ Trend strength < 30%
❌ Zone already tested 3+ times
❌ Liquidity sweep outside zone
❌ Entry candle is oversized (>1.8 ATR)
❌ Trade against HTF
❌ Emotional or revenge trade
9️⃣ ONE-SCREEN TRADE CHECKLIST
Before clicking BUY/SELL:
✔ Trend aligned
✔ HTF aligned
✔ In session
✔ At zone
✔ Sweep confirmed
✔ SL defined
✔ R ≥ 2 possible
If any answer = NO → skip trade
🔒 DISCIPLINE STATEMENT (PRINT THIS)
AMSC does not pay for activity.
It pays for patience, location, and discipline.
🏁 EXPECTED PERFORMANCE (REALISTIC)
Win rate: 45–60%
R:R average: 1:2.5 to 1:4
Drawdown: low
Trade frequency: selective
Adaptive Market Structure Channel — Visual Layout
5
🧭 How to READ the Chart (Left → Right)
1️⃣ Core Trend Context (FIRST thing your eyes see)
ATR Trend Channel
Acts as dynamic support/resistance
Green = bullish regime
Red = bearish regime
No second trendline competing with it
👉 If price is on the wrong side → no trade
2️⃣ Pivot ATR Structure Channel (SECOND layer)
Sloping channel following real swing structure
Shows:
Trend acceleration
Healthy pullbacks
Channel fill is very light (high transparency)
👉 Pullbacks inside this channel are valid
👉 Breaks outside = caution / exit
3️⃣ Supply & Demand Zones (ONLY horizontal objects)
Few, wide, soft-colored zones
No pivot clutter, no fibs, no grids
👉 Trades happen only here
4️⃣ Liquidity Sweep Markers (EVENT-BASED)
Appears only near zones
Indicates stop-hunt, not entry by itself
👉 Sweep + zone + trend = setup
👉 Sweep alone = ignore
5️⃣ Dashboard (Decision Support, not distraction)
Small
Corner-placed
Shows only:
Trend
Strength
HTF bias
Zone
Signal
Session
👉 After experience, you’ll barely look at it
🚫 What You DO NOT See (Very Important)
A clean AMSC chart intentionally avoids:
Multiple moving averages
Pivot levels (P/R/S)
Too many channels
Oscillator panels
Bright fills or thick lines
If your chart looks “busy”, something is ON that should be OFF.
🧠 Mental Model (Keep This Image in Mind)
AMSC chart =
1 dynamic trend
1 structure channel
1 zone
1 liquidity event
1 decision
Anything more → clutter
Anything less → blind trading
✅ Final Visual Checklist (Before Trading)
✔ Chart background visible
✔ Candles clearly readable
✔ Zones visible but not loud
✔ Channel guides the eye
✔ Nothing overlaps price excessively
If yes → you are trading AMSC correctly
srd786-Intraday VWAP Price Action IndicatorDISCLAIMER
This Pine Script indicator does not constitute financial advice; it is just intended for educational and informational purposes. It functions as a tool for technical analysis that could help traders spot possible trading opportunities. It is crucial to remember that participating in financial markets has a number of risks that might result in large losses and are not suitable for all investors.
Users are encouraged to conduct their own thorough investigation and analysis prior to using this indicator. Avoiding trading with money that one cannot afford to lose is essential. It is also advised to seek advice from a certified financial expert. Users must use suitable risk management techniques and recognize that past success does not guarantee future outcomes.
Any losses, damages, or other consequences resulting from the usage of this indicator are not the author's responsibility. The user is ultimately responsible for all trading decisions, therefore using this tool is at their own risk.
INTRODUCTION
The “srd786-Intraday VWAP Price Action Indicator” is a sophisticated Pine Script (version 6) trading tool designed for intraday traders who focus on New York session trading hours. This indicator combines multiple technical analysis concepts including Volume Weighted Average Price (VWAP), Average True Range (ATR) for risk management, swing point detection for support/resistance identification, and momentum analysis through RSI. The primary objective is to generate high-probability long and short signals based on price action confluence with trend, momentum, and key structural levels.
1.
VWAP (Volume Weighted Average Price): Shows the "fair" average price based on both price and trading volume.
2.
ATR (Average True Range): Measures how much the price typically moves each day.
3.
Trend Analysis: Identifies whether the market is going up, down, or sideways.
4.
Momentum Indicators: Shows how strong the current price movement is.
5.
Support & Resistance: Identifies key price levels where the price might stop or reverse.
6.
Swing Points: Finds significant turning points in the price.
This indicator is specifically optimized for the New York trading session (9:30 AM to 4:00 PM ET), making it particularly suitable for traders who focus on US market hours. It provides a complete trading framework that includes not only signal generation but also precise trade management levels including entry prices, stop-loss orders, and profit targets based on a configurable reward-to-risk ratio.
The philosophy behind this indicator is confluence-based trading. Rather than relying on a single indicator or condition, it requires multiple factors to align before generating a trade signal. This approach filters out lower-probability setups and focuses only on high-quality opportunities where price action, trend direction, momentum, and key technical levels all point in the same direction.
CORE CONCEPT AND METHODOLOGY
Volume Weighted Average Price (VWAP)
VWAP is the cornerstone of this indicator's trading methodology. Unlike a simple moving average that treats all price bars equally, VWAP incorporates volume data into its calculation, giving more weight to bars with higher trading volume. This makes VWAP a more accurate representation of the true average price where the most significant trading activity occurred.
The calculation of VWAP is performed using the built-in 'ta.vwap()' function, which computes the cumulative volume-weighted average price from the beginning of the session. For intraday traders, VWAP serves as a critical reference point that indicates whether the current price is trading at a premium (above VWAP) or discount (below VWAP) relative to the session's volume-weighted average.
In this indicator, the VWAP source is configurable through the 'vwapSource' parameter, with the default being HLC3 (High + Low + Close / 3). This source selection allows traders to experiment with different price types such as typical price, weighted close, or even custom sources to suit their trading style and market preferences.
Average True Range (ATR) for Risk Management
The Average True Range, calculated using 'ta.atr()', measures market volatility by decomposing the current range of price movement. ATR does not indicate price direction;
instead, it quantifies the degree of price movement or volatility over a specified period. In this indicator, ATR serves dual purposes: determining the distance for limit orders and calculating stop-loss levels.
The 'atrLength' parameter (default: 14) controls the lookback period for the ATR calculation. A shorter length makes the indicator more responsive to recent volatility, while a longer length provides a smoother average that may be more suitable for less volatile markets. The 'atrMultiplier' (default: 1.5) determines how many ATR units away the stop-loss is placed from the entry price, allowing traders to adjust their risk exposure based on current market conditions.
Swing Detection and Support/Resistance
Swing points represent significant turning points in price action where the market has temporarily exhausted its directional momentum. This indicator uses pivot high and pivot low calculations to identify swing highs and swing lows, which then form the basis for dynamic support and resistance levels.
The 'swingLength' parameter (default: 5) defines how many bars to the left and right of a potential pivot point must be lower (for pivot highs) or higher (for pivot lows) to confirm the swing point. This lookback period helps filter out minor price fluctuations and focuses on more significant structural levels.
Support and resistance levels are stored in arrays ('swingHighArray' and 'SwingLowArray'), with the most recent swing points serving as the primary reference levels. The 'srLookback' parameter (default: 20) controls the overall lookback window and also determines how many
swing points to maintain in each array, ensuring that only relevant historical levels are considered.
Breakout Detection
When a price moves past a major support or resistance level, this is known as a price breakout. This price breakout suggests that there is a possibility of a new trend direction heading forward.Breakout detection eliminates noise, as little price fluctuations or volatility may momentarily drive prices past a threshold without authentic conviction.Detection of breakouts affirms robustness when the price above the threshold by 2%, indicating genuine market interest, and mitigates whipsaws to prevent placing trades based on transient price swings.
The Breakout Tolerance parameter, set by default to 2%, regulates the breakout tolerance for the indicator. A price closure above the current high plus a minor tolerance buffer (usually 2%) indicates a potential continuation of upward movement, classified as a Bullish Breakout. Conversely, when the price closes below the recent low plus a minor tolerance buffer (usually 2%), it suggests that the price may continue to decline, which is classified as a Bearish Breakout Down.
Trend Identification
Trend determination is accomplished through an Exponential Moving Average (EMA) with a configurable length ('trendMaLength', default: 9). The indicator classifies trend into three
states: BULLISH (price above EMA with confirmation from the previous bar), BEARISH (price below EMA with confirmation), and SIDEWAYS (price crossing or near the EMA).
The EMA is chosen over simple moving averages because it responds more quickly to recent price changes while still providing enough smoothing to filter out noise. The confirmation requirement (both current and previous bar must be on the same side of the EMA) reduces false signals during periods of choppy price action.
Momentum Analysis
Momentum is measured using the Relative Strength Index (RSI) with a configurable length ('momentumLength', default: 9). RSI values are categorized into five states to provide nuanced momentum readings: STRONG BULL (RSI above 70), BUILDING (RSI between 55 and 70), NEUTRAL (RSI between 45 and 55), WEAKENING (RSI below 45), and STRONG BEAR (RSI below 30).
This momentum categorization allows traders to distinguish between strong trending conditions (STRONG BULL/BEAR) and transitions (BUILDING/WEAKENING), providing context for trade signals and helping to avoid entering positions during momentum divergences.
CONFIGURATION PARAMETERS
VWAP Settings
The 'vwapSource' parameter determines which price value is used in the VWAP calculation. The default value of 'hlc3' (High + Low + Close / 3) provides a balanced representation of each bar's price action. Traders can modify this to use typical price ('high + low + close / 3'), weighted close ('high + low + close + close / 4'), or other price types depending on their analytical preferences.
ATR Settings
The 'atrLength' parameter sets the lookback period for the Average True Range calculation. The default of 14 periods is standard across most trading platforms and timeframes, providing a good balance between responsiveness and smoothness. The 'atrMultiplier' parameter (default: 1.5) scales the ATR value to determine stop-loss distances. A multiplier of 1.5 means the stop-loss is placed 1.5 ATR units away from the entry price, providing enough buffer to accommodate normal volatility while limiting risk.
Trade Settings
The 'rrRatio' parameter (default: 3.0) establishes the reward-to-risk ratio for trade targets. A ratio of 2.0 means the profit target is twice the distance of the stop-loss from the entry price. The 'limitOrderDistance' parameter (default: 0.5) determines how far below (for long trades)
or above (for short trades) the current close the limit order is placed, measured in ATR units. This allows traders to enter positions at better prices while waiting for pullbacks.
Swing Detection Settings
The 'swingLength' parameter (default: 5) controls pivot identification sensitivity. Higher values identify more significant swing points but may miss shorter-term opportunities. The 'showSwings' boolean parameter toggles the visual display of swing high and low points on the chart.
Support & Resistance Settings
The 'srLookback' parameter (default: 20) defines how many bars back to search for swing points and support/resistance levels. The 'breakoutTolerance' parameter (default: 0.02 or 2%) adds a small buffer to breakout detection to account for minor penetration of support/resistance levels due to price spikes or slippage.
Trend & Momentum Settings
The 'trendMaLength' parameter (default: 9) sets the EMA length for trend determination, while 'momentumLength' (default: 9) sets the RSI lookback period. Both should be at least 5 periods for meaningful calculations.
Table Settings
The 'showTable' parameter (default: true) enables the display of two information tables that provide real-time data on Indicator values and trade levels.
SIGNAL GENERATION LOGIC
Long Signal Conditions
A long signal is generated when all the following conditions are simultaneously true:
1.
Session Filter: The trade must occur during New York session hours (9:30 AM - 4:00 PM ET).
2.
Trend Confirmation: The trend must be BULLISH (price above EMA with confirmation).
3.
Price Position: Current price must be above VWAP, indicating bullish price action.
4.
Breakout or No Resistance: Either price is breaking out above resistance level with tolerance, or there is no prior resistance level to overcome.
5.
Momentum Alignment: Momentum must be either STRONG BULL or BUILDING.
This confluence of conditions ensures that long trades are only taken when the market is trending higher, price is confirming strength by trading above VWAP, and momentum is supportive of continued upward movement.
Short Signal Conditions
A short signal is generated when all the following conditions are simultaneously true:
1.
Session Filter: The trade must occur during New York session hours
2.
Trend Confirmation: The trend must be BEARISH (price below EMA with confirmation)
3.
Price Position: Current price must be below VWAP, indicating bearish price action
4.
Breakout or No Support: Either price is breaking down below support level with tolerance, or there is no prior support level to overcome
5.
Momentum Alignment: Momentum must be either STRONG BEAR or WEAKENING
Similar to long signals, short trades require alignment across multiple timeframes and analytical approaches, filtering out counter-trend trades and focusing on high-probability setups.
TRADE MANAGEMENT FRAMEWORK
Entry Price Calculation
For long trades, the limit order price is calculated as: 'Close - (ATR Value × Limit Order Distance)'. This places the entry price below the current close, allowing traders to buy on dips while maintaining a favorable entry price. For short trades, the limit order is placed above the current close: 'Close + (ATR Value × Limit Order Distance)'.
The limit order distance is expressed in ATR units, making it adaptive to current volatility conditions. In more volatile markets, the limit order will be placed further from the current price, while in calmer markets, it will be closer.
Stop-Loss Placement
Stop-loss levels are calculated using the ATR multiplier to ensure adaptive risk management. For long trades: 'Entry Price - (ATR Value × ATR Multiplier)'. For short trades: 'Entry Price + (ATR Value × ATR Multiplier)'.
This adaptive approach to stop-loss placement means that in volatile markets, stops are wider to avoid being stopped out by normal price fluctuations, while in quieter markets, stops are tighter to limit potential losses. The default multiplier of 1.5 provides approximately 1.5 times the average true range of protection.
Target Price Calculation
Profit targets are determined by the reward-to-risk ratio: 'Entry Price + (ATR Stop Distance × RR Ratio)' for long trades and 'Entry Price - (ATR Stop Distance × RR Ratio)' for short trades. The default ratio of 2.0 means the target is twice the distance of the stop-loss, providing a favorable risk-reward profile.
New York Session Tracking
The indicator includes specialized logic for tracking the New York session open price. When a new NY session begins (determined by the 'isNewNySession' variable), the current open price is recorded and maintained throughout the session. This provides a reference point for measuring intraday directional bias from the session's starting level.
INFORMATION TABLES
Indicators Table
This table displays the current price, VWAP value, NY session open price, support level,resistance level, ATR, ATR-scaled stop distance, current trend classification, momentum state with RSI value, and breakout status. All values are color-coded based on their bullish or bearish implications. The VWAP cell is color-coded green if price is above VWAP (bullish) and red if below (bearish), providing instant visual confirmation of price's position relative to this critical level.
Trade Levels Table
This table shows current signal status (LONG, SHORT, or WAIT), limit order distance in ATR units, calculated limit order price, stop-loss level, and target price with the reward-to-risk ratio displayed. The signal cell is highlighted in green for long signals and red for short signals.
ALERT CONDITIONS
The indicator includes four alert conditions that can be configured in TradingView:
1.
LONG Signal: Triggers when a long signal is generated, providing entry price, stop-loss, and target information.
2.
SHORT Signal: Triggers when a short signal is generated with corresponding trade details.
3.
Breakout Up: Notifies when price breaks out above resistance level.
4.
Breakout Down: Notifies when price breaks down below support level.
These alerts enable traders to receive notifications via TradingView's alert system without continuously monitoring the charts.
USAGE EXAMPLES AND TRADING SCENARIOS
Strong Bullish Trend with VWAP Support
In this scenario, price has been trading above the 9-period EMA for multiple bars, confirming a bullish trend. The current price is above VWAP, indicating buyers are willing to pay a premium. A recent swing low has established a support level, and RSI is reading 65, indicating building momentum without being overextended. When price breaks above the recent swing high resistance with a 2% tolerance, the indicator generates a long signal. The trader places a limit order below the current bar's close (0.5 ATR units) and sets the stop-loss 1.5 ATR units below the entry, with a target 2.0 times the stop distance away.
Short Setup During Volatile Session
During a particularly volatile NY session, price gaps down below VWAP early in the day. The 9-period EMA is declining, and both current and previous bars are below it, confirming a bearish trend. The RSI has dropped to 28, indicating strong bearish momentum. A recent swing high serves as resistance, and when price breaks below the swing low support level, the indicator generates a short signal. The trader enters on a limit order placed 0.5 ATR units above the current price, with the stop-loss 1.5 ATR units above the entry and the target at a 2.0 reward-to-risk ratio.
Avoiding Counter-Trend Trades
Consider a scenario where price is above VWAP and the RSI reads 72 (overbought), but the price is below the 9-period EMA and the previous bar was also below the EMA. In this case, the trend is classified as BEARISH (or SIDEWAYS) despite the bullish price position relative to VWAP. The indicator will not generate a long signal because the trend condition is not met, protecting the trader from what could be a bear trap or continuation pattern.
No Prior Levels Scenario
At the beginning of a trading session or after significant volatility has cleared prior swing points, there may be no established support or resistance levels in the lookback window. In this case, the breakout condition 'or na(resistanceLevel)' allows long signals to be generated without requiring a resistance level to be broken, enabling traders to participate in emerging trends without waiting for prior levels to form.
BEST PRACTICES AND TIPS
Timeframe Selection
This indicator is optimized for intraday timeframes (1-minute to 60-minute charts) and specifically for NY session trading. Higher timeframes may produce more reliable signals but fewer opportunities, while lower timeframes will generate more signals but with potentially lower reliability. Traders should backtest on their preferred timeframe before trading live.
Market Conditions
The indicator performs best in trending markets with clear directional bias. During ranging or sideways markets, the trend condition may oscillate frequently, and VWAP may oscillate around price, reducing signal quality. Consider filtering signals or reducing position size during low-volatility, range-bound conditions.
Parameter Optimization
While the default parameters have been selected for general applicability, traders should consider optimizing certain parameters for specific markets or instruments. For highly volatile instruments like crude oil or natural gas, increasing the 'atrMultiplier' to 2.0 or 2.5 may provide more appropriate risk management. For less volatile instruments like certain forex pairs, reducing the multiplier to 1.0 or 1.2 may improve signal quality.
Multiple Timeframe Analysis
For enhanced performance, traders can analyze the trend on a higher timeframe (such as 15-minute or hourly) while taking signals on a lower timeframe (such as 5-minute or 1-minute). This multi-timeframe approach ensures that signals are aligned with the larger trend direction.
Risk Management
While the indicator provides calculated stop-loss levels, traders should consider their overall position sizing and portfolio risk. The ATR-based stops provide a market-adaptive approach, but individual risk tolerance and account size should ultimately determine position sizing. The 2.0 reward-to-risk ratio is fixed but can be adjusted based on personal preferences or the specific characteristics of the instrument being traded.
INTEGRATION WITH TRADINGVIEW
Adding the Indicator
To add this indicator to a TradingView chart, paste the code into the Pine Script editor and click "Add to Chart." The indicator will appear in the chart's sidebar and begin calculating immediately once sufficient historical data is available.
Configuring Alerts
To set up alerts, right-click on any of the alert conditions in the indicator's settings panel (long signal, short signal, breakout up, or breakout down) and select "Add Alert." Configure the alert frequency and notification methods (push notification, email, webhook, etc.) according to your preferences.
Customization
All input parameters can be adjusted through the indicator's settings panel without modifying the source code. Traders can experiment with different VWAP sources, ATR lengths and multipliers, swing detection parameters, and table display options to suit their trading style and market preferences.
LIMITATIONS AND CONSIDERATIONS
Session Dependency
The indicator is specifically designed for NY session trading and will not generate signals outside these hours. Traders focused on other sessions or 24-hour markets may need to modify the session string to match their trading hours.
Historical Data Requirements
The indicator requires sufficient historical data to accurately calculate swing points and support/resistance levels. On lower timeframe charts with limited history, the initial signals may be less reliable until adequate swing points are identified.
Lag in Swing Detection
By definition, swing points are confirmed after the price has moved away from them, introducing some lag into support/resistance identification. Traders should be aware that the most recent swing point may not be confirmed until several bars after it occurs.
Not Financial Advice
This indicator is a technical analysis tool and should not be construed as financial advice. Traders are responsible for their own research and risk management decisions. Past performance of any trading system does not guarantee future results.
SUMMARY
The code follows a logical flow:
•
Version and Declaration: Pine Script version 6 indicator declaration with overlay enabled
•
Input Parameters: All user-configurable settings grouped by category
•
Session Logic: New York session tracking and open price recording
•
Core Calculations: VWAP, ATR, EMA, RSI, swing points
•
Support/Resistance Logic: Array-based storage and retrieval of swing levels
•
Trend and Momentum Classification: Categorization of current market state
•
Signal Generation: Confluence-based long and short conditions
•
Trade Level Calculations: Entry, stop-loss, and target pricing
•
Visual Plots: Hidden plots for alert data access
•
Information Tables: Real-time display of key values
•
Alert Conditions: Four configurable alert triggers
This structured approach ensures clarity, maintainability, and extensibility for future modifications or enhancements.
Institutional Liquidity Engine [Pointalgo]PointAlgo – Institutional Liquidity Engine is a price-overlay market structure and liquidity visualization tool designed to help traders analyze supply & demand behavior, liquidity zones, and price inefficiencies using rule-based logic inspired by modern market structure concepts.
This indicator focuses on where price aggressively moved from, where liquidity may remain, and how those zones evolve over time, without generating direct buy/sell signals.
The script is fully open-source, free to use, and intended strictly for educational and analytical purposes.
Core Analytical Concepts :
This indicator visualizes:
Market structure pivot points
High-volatility displacement zones
Supply & demand (order-block–like) areas
Liquidity mitigation behavior
Fair Value Gaps (price inefficiencies)
Zone lifecycle management (active vs mitigated)
It does not claim to detect actual institutional orders.
How the Indicator Works :
Volatility-Filtered Structure Detection
Uses ATR-based volatility filtering
Zones are only created when price displacement exceeds normal volatility
Helps reduce noise from weak or random candles
Demand & Supply Zone Identification
A demand zone is detected when:
A pivot low forms
The candle before the move is bearish
Price rapidly expands upward after the pivot
Volatility conditions are met
These zones highlight areas where price previously reacted strongly upward.
Supply Zones (Bearish)
A supply zone is detected when:
A pivot high forms
The candle before the move is bullish
Price drops aggressively after the pivot
Volatility conditions are met
These zones highlight areas where selling pressure previously dominated.
Smart Mitigation Engine (Automatic Zone Management)
One of the key design goals of this indicator is chart cleanliness.
Each zone is continuously monitored:
If price returns into the zone, it is considered mitigated
Users can choose to:
Automatically remove mitigated zones
Or gray them out for historical reference
Old and irrelevant zones far from price are also automatically deleted.
This prevents the chart from filling with outdated boxes.
Fair Value Gap (Liquidity Void) Detection
Optional Fair Value Gaps (FVGs) are displayed when:
Price moves so fast that wicks do not overlap
The gap size exceeds a user-defined ATR threshold
These gaps visually represent price inefficiencies where liquidity may be revisited.
Types:
🔵 Bullish FVG
🟠 Bearish FVG
Real-Time Dashboard
A small dashboard displays:
Active demand zones
Active supply zones
This provides a quick structural overview without scanning the entire chart.
Customization Options
Users can configure:
Pivot sensitivity
Zone colors
Mitigation behavior
Fair Value Gap visibility
Minimum gap size (ATR-based)
This makes the indicator adaptable across:
Forex
Indices
Crypto
Stocks
Futures
How to Use This Indicator
This tool is best used for:
Market structure analysis
Supply & demand studies
Liquidity mapping
Confluence with price action
Higher-timeframe bias alignment
Recommended complementary tools:
Support & Resistance
Trend analysis
Volume profiling
Risk management rules
Important Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not provide trading signals, investment advice, or profit guarantees.
Market structure and liquidity concepts are interpretive in nature.
Users are solely responsible for their own trading decisions and risk management
Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
Gold And Silver Macro Dashboard A weekly, macro-focused dashboard for precious metals that tracks gold’s trend plus three key relative-strength ratios: Gold/DXY, Gold/SPY, and Silver/Gold. Uses a 30-week SMA regime filter to label each series as Bull / Neutral / Bear and provides a quick “full picture” read.
What this indicator does
This dashboard helps you read the big picture for precious metals using a simple regime framework (weekly + 30-week SMA). It combines four signals into one view:
Gold (XAUUSD) — establishes the core precious-metals trend
Gold / DXY — shows whether gold is outperforming the U.S. dollar
Gold / SPY — shows whether gold is outperforming U.S. equities (risk assets)
Silver / Gold — shows whether risk appetite is returning inside metals (silver leadership)
How it works (simple rules)
Each item is classified using the same weekly regime logic:
Bull: price/ratio is above a rising 30-week SMA
Bear: price/ratio is below a falling 30-week SMA
Neutral: everything else (transition/range)
How to use it (30-second weekly scan)
Start with Gold: if Gold is Bull, metals have a tailwind.
Confirm with Gold/DXY: Bull means gold is beating fiat.
Confirm with Gold/SPY: Bull means gold is beating risk assets.
Use Silver/Gold to size aggressiveness: Bull implies reflation/confidence and often stronger silver participation.
Best timeframe
Designed for Weekly charts. The script can force weekly calculations, so it remains consistent even if you view other timeframes.
Customization
Change tickers if your preferred feed differs (OANDA spot vs futures vs ETFs).
Toggle the plotted lines on/off and keep only the dashboard table if you want a cleaner screen.
Important note
This is a macro regime tool for orientation and context. It is not meant to time entries/exits on lower timeframes.
Default symbols are:
Gold: OANDA:XAUUSD
Silver: OANDA:XAGUSD
Dollar Index: TVC:DXY
SPY: AMEX:SPY
Core Rule: Gold tells you WHEN metals matter. Ratios tell you WHY and HOW aggressive to be.
Bull across all four = strongest PM regime. Mixed readings = transition. Gold Bull + Silver/Gold Bear = defensive gold-led phase.
Apex Wallet - Ultimate Trading Suite: All-In-One Overlay & SignaOverview The Apex Wallet All-In-One is a comprehensive professional trading toolkit designed to centralize every essential technical analysis tool directly onto your main price chart. Instead of cluttering your workspace with dozens of separate indicators, this script integrates trend analysis, volatility bands, automated chart patterns, and a multi-indicator signal engine into a single, cohesive interface.
Key Modular Features:
Trend Core: Features dynamic trend curves, cloud fills for momentum visualization, and a multi-timeframe dashboard (1m to 4h) to ensure you are always trading with the higher-timeframe bias.
Automated Chart Structures: Automatically detects and plots Support/Resistance levels, Standard Pivot Points, Market Gaps, and Fair Value Gaps (Imbalances).
Volatility & Volume: Includes professional-grade VWAP with standard deviation bands, Bollinger Bands, and a built-in Volume Delta (Raw/Net) tracker.
Signal Engine: A powerful cross-logic system that generates entry signals based on RSI (QQE), MACD (Zero-cross & Relance), Stochastic, TDI, and the Andean Oscillator.
Predictive Projections: A unique feature that projects current indicator slopes into future candles to help anticipate potential trend continuations or reversals.
Adaptability The script includes three core presets—Scalping, Day-Trading, and Swing-Trading—which automatically adjust all internal periods (Moving Averages, Bollinger, RSI, etc.) to match your specific market speed.
Visual Cleanliness Every feature is toggleable. You can display a "clean" chart with just the Trend Cloud or a "complete" workstation with signals, patterns (Doji, Engulfing), and pivot levels
Apex Wallet - Ultimate Multi-Oscillator (9-in-1) & Market TrendThe Apex Wallet Multi-Oscillator is a powerful "All-in-One" technical analysis tool designed to clean up your charts by combining nine of the most effective momentum and trend indicators into a single workspace. This script is engineered to adapt to different trading styles—Scalping, Day-Trading, or Swing-Trading—with a single click.
+4
Whether you are looking for trend exhaustion, momentum shifts, or volatility breakouts, this indicator provides a clear, visual summary of market dynamics.
+1
Key Features
9 Indicators in 1: Access RSI, Stochastic, StochRSI, MACD, Zero-Lag MACD, Andean Oscillator, and the Traders Dynamic Index (TDI).
+1
Smart Layout Modes:
Raw (Brut): Classic view with original values.
+1
Stacked (Empilé): Organizes indicators into fixed vertical zones to prevent overlapping.
+1
Proportional Stacking: Automatically calculates and adjusts the height of blocks based on active oscillators.
+2
Trading Presets: Switch between Scalping, Day-Trading, and Swing-Trading modes. The script automatically adjusts periods and lengths (e.g., RSI 7 for Scalping vs. 21 for Swing) to match the market speed.
+3
Included Oscillators
Stochastic & RSI: Standard momentum tools with color-coded signals.
Traders Dynamic Index (TDI): A full suite including the RSI Price Line, Signal Line, and Market Base Line with optional Bollinger Bandwidth columns.
+1
MACD & Zero-Lag MACD: Includes histogram fills and trend-colored lines for faster reaction to price movement.
+2
Andean Oscillator: An advanced tool to identify Bull/Bear dominance and market "Range" or "Reversal" states.
Visual Signals & Alerts
Market Trend: Optional visual coloring based on indicator crosses to quickly spot bullish or bearish momentum.
+3
Customizable UI: High-fidelity rendering with dashed levels and proportional fills for a professional, clean interface.
+1
Integrated Alerts: Pre-configured alerts for Andean Oscillator trend changes (Bullish, Bearish, or Reversal).
How to use
Select your Trading Mode in the settings based on your timeframe.
Toggle the indicators you want to see.
Use the Stacked mode if you want to keep your sub-window organized without lines crossing each other.
Reversal Trading ChecklistUse to grade your reversal trades before execution.
Middle Half of hour refers to :15ish-:45ish when reversals are higher probability. After :45-:15 reversals have lower chance of occurring. Not a super highly weighted item but it will help.
Intraday Session Ranges (Asian-London-NY) - JonathanJD86This script is a technical utility designed to automatically track and visualize the high and low price levels of the three major trading sessions (Asian, London, and New York).
How it works: The script uses the time() function with the America/New_York timezone anchor to ensure accuracy regardless of the user's local time. It tracks the maximum and minimum price values during specific user-defined intervals.
Key Methodology:
Vertical Tick Offset: Unlike standard session boxes, this tool allows users to set a vertical gap (in ticks) so that the labels do not overlap the candle wicks, providing a clearer view of the actual price action.
Session Intervals: Defaulted to high-activity windows: Asian (20:00-00:00), London (02:00-05:00), and New York (08:30-16:00).
Dynamic Visibility: The script includes a logical check to automatically hide levels on timeframes higher than 1H, preventing chart clutter during macro analysis.
Big Trades [Volume Anomalies] (Enhanced)The script is a **volume-anomaly “big trades” detector** for futures that tries to (1) split each candle’s volume into a **buy-pressure** and **sell-pressure** estimate, (2) flag **statistically extreme** candles (tiers), and (3) optionally label those extremes as **initiative (follow-through)** vs **absorbed (no follow-through)** using a forward-style confirmation window.
Here’s what it does, piece by piece.
---
## 1) What it’s trying to detect
It’s not true “whale prints” or real bid/ask delta. It detects:
* **unusually large participation** (volume anomaly)
* with a **directional guess** (buy-ish vs sell-ish)
* and then checks whether price **continued** after that anomaly
So it’s: **“big participation + did it work?”**
---
## 2) The “buy vs sell volume” estimate
For each candle, it builds a **weight** for buy and sell pressure:
* **close location within the candle**
* close near high → more buy weight
* close near low → more sell weight
* **body direction (close–open)**
* bullish body adds buy boost
* bearish body adds sell boost
Then it computes:
* `raw_buy = volume * buy_weight`
* `raw_sell = volume * sell_weight`
This is an **OHLC-based proxy** for pressure, not real aggressor volume.
---
## 3) Normalization (makes it behave across sessions)
If enabled, it divides by ATR:
* `norm_buy = raw_buy / ATR`
* `norm_sell = raw_sell / ATR`
This helps a lot on futures because volume/volatility regimes differ between Asia/London/NY.
---
## 4) Statistical anomaly detection (z-score logic)
It calculates “what’s normal” using the last `lookback` bars, but **uses ` `** so the current bar doesn’t contaminate the stats (reduces flicker):
* `avg_buy = sma(norm_buy, lookback) `
* `std_buy = stdev(norm_buy, lookback) `
(and same for sell)
Then it computes **z-scores**:
* `z_buy = (norm_buy - avg_buy) / std_buy`
* `z_sell = (norm_sell - avg_sell) / std_sell`
If z-score crosses thresholds, it triggers tiers:
* Tier 1: `sigma`
* Tier 2: `sigma + tier_step1`
* Tier 3: `sigma + tier_step2`
So **Tier 3 = “big bubble”**.
---
## 5) Optional VWAP bias filter
It computes VWAP correctly as:
* `vwapv = ta.vwap(hlc3)`
If enabled:
* buys only when `close >= vwap`
* sells only when `close <= vwap`
This is just a **trend/bias filter** to reduce counter-trend bubbles.
---
## 6) Plotting (how bubbles appear)
It places markers at:
* buys around `(close+low)/2` (lower-ish)
* sells around `(close+high)/2` (upper-ish)
And draws:
* small/medium/large circles (depending on tier)
* with optional INIT/ABS overlays (explained next)
---
## 7) “Initiative vs Absorbed” classification (the smart part)
Because Pine can’t see the future on the same bar, your script does a **delayed evaluation**:
* It waits `N = confirm_bars`
* Looks at what happened from the signal bar to the current bar
* Decides if price moved far enough in the intended direction
It uses:
* `hh_window = highest(high, N+1)`
* `ll_window = lowest(low, N+1)`
(these cover the last N+1 bars: from signal bar to now)
Then it measures follow-through:
* For a buy signal N bars ago:
`buy_move = hh_window - high `
* For a sell signal N bars ago:
`sell_move = low - ll_window`
It compares to an ATR-based threshold anchored to the signal bar:
* `thr_move_sig = ATR * move_mult_atr`
If move > threshold → **INIT**
Else → **ABS**
Then it **plots back onto the original signal bar** using `offset=-N` so it visually marks the candle that caused it.
To make it obvious:
* **INIT** = circle
* **ABS** = X
This part is “accurate” in the sense that it’s purely **price-outcome based**.
---
## 8) Labels (optional)
If enabled, it prints labels on those large signals with:
* INIT/ABS
* the z-score at the signal bar
* and a “delta proxy” (`norm_buy - norm_sell`), not true delta
---
## In one sentence
The script flags **statistically extreme volume-pressure candles** (buy/sell proxy), and then classifies those extremes as **worked (initiative)** or **failed (absorbed)** based on **subsequent price movement** within `confirm_bars`.
Simple Trend Context [Wall_Journey]Simple Trend Context MA: Dynamic Market Bias Visualizer
Overview The Simple Trend Context MA is a visual-oriented trading tool designed to identify the prevailing market trend at a glance. By utilizing two Simple Moving Averages (Fast and Slow), this script provides a clear "Context" for your trades, helping you avoid trading against the primary momentum.
How it Works The indicator calculates two key SMA periods:
Fast MA (Default: 20) : Captures short-term momentum.
Slow MA (Default: 50) : Represents the broader trend direction.
Key Features
Dynamic Background Shading: The chart background automatically changes color based on the trend. A Green background indicates a Bullish trend (Fast MA > Slow MA), while a Red background indicates a Bearish trend (Fast MA < Slow MA).
Real-time Trend Label: A dynamic label appears on the most recent bar, explicitly stating the current market context (Bullish, Bearish, or Neutral).
Highly Customizable: You can easily adjust the MA lengths to suit your specific strategy, whether you are scalping or swing trading.
Why use this? Many traders fail because they lose sight of the "Big Picture." This script ensures that the trend context is always visible, serving as a powerful filter for your entry signals.
Volume Buy/Sell Pressure with Hot PercentFULL DESCRIPTION (Condensed Version)
Volume Buy/Sell Pressure with Hot Percent
Professional volume analysis indicator revealing real-time buying and selling pressure with hot volume detection and customizable alerts.
Key Features:
Three-Layer Histogram - Visual breakdown: total volume (gray), buying pressure (bright green), selling pressure (bright red)
Flexible Display - Toggle between percentage view or actual volume counts for buying/selling pressure
Real-Time Metrics - Live buying/selling data, current bar volume, daily totals, 30-bar/30-day averages with comma formatting
Hot Volume Detection - Automatic alerts with white triangle markers when volume exceeds threshold
Customizable Labels - 4 sizes (Small/Normal/Large/Huge), 9 positions (all corners/centers/middles), toggle any metric on/off
Smart Color Coding - Green (high volume/buying dominant), Red (selling dominant), Orange (equal pressure), Gray (low volume). Black text on bright backgrounds for maximum contrast.
Alert Conditions:
Hot Volume: Triggers when volume exceeds moving average by specified percentage
Unusual 30-Bar Volume: Current bar significantly above 30-bar average
Unusual 30-Day Volume: Daily volume significantly above 30-day average
Settings:
Display - Toggle metrics, choose percentage/count display, select size and position
Volume - Set unusual volume threshold (default 200%), adjust average length (default 21)
Hot Volume - Choose SMA/EMA, set lookback period (default 20), define threshold (default 100%)
Perfect For:
Day traders scalping futures (MNQ, MES, MYM, MGC, MCL)
Swing traders identifying accumulation/distribution
Breakout traders needing volume confirmation
All timeframes - tick charts to daily/weekly
Use Cases:
Confirm trend strength with pressure alignment
Spot reversals when pressure diverges from price
Validate breakouts with hot volume alerts
Identify smart money through unusual volume
Track institutional activity at key levels
What Makes This Different:
Shows buying vs selling pressure WITHIN each bar using price range methodology. Most indicators only show total volume or simple up/down. This reveals actual pressure distribution regardless of bar direction. Three-layer design makes order flow instantly visible.
Pro Tips:
Use "Large" labels at 100% zoom
Enable volume count display for position sizing
Position labels in corners to avoid price overlap
Enable alerts during pre-market and news events
Watch for divergences: price up + selling pressure up = potential reversal
Compare to both 30-bar and 30-day for full context
Technical:
Pine Script v6
All timeframes and instruments
No repainting
Efficient code, minimal CPU
Three alert conditions
Works on futures, stocks, forex, crypto
Clean, professional presentation. Essential for volume analysis and order flow tracking.
HTF Long/Short 1hr This is one of my latest algo it helps with your long and short bias for GC on the 1HR HTF
5MA + TrendMagic + Disparity Scalping + Volume Spikes5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
Price–EMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
Price–EMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.
FranPL - Psychological LevelsIt automatically draws horizontal lines fixed to the right-hand price scale at every price level ending in 00, 20, 50, and 80. These levels are commonly watched by traders as areas where price often reacts, pauses, or reverses.
The lines remain anchored to price, updating dynamically as the market moves, and stay aligned with the price scale rather than drifting with time. The indicator works across all markets and timeframes.
FranPL is fully customizable through the settings, allowing the user to adjust the line color, thickness, and length, making it easy to match personal chart preferences while keeping the chart clean and uncluttered.
Overall, FranPL provides a clear, consistent visual framework for identifying important psychological levels to support entries, exits, and risk management.
Multi-Filter Momentum Candle Strategy (Non-Repaint)Momentum Candle Precision Scanner is a price action–based indicator designed to detect high-quality momentum candles after consolidation phases.
It combines candle structure analysis, volume confirmation, ATR control, consolidation filtering, and higher timeframe EMA trend alignment to reduce false signals.
⚠️ This indicator is NOT standalone and MUST be used together with an external RSI indicator.
RSI is intentionally not included in the script to allow traders full flexibility in choosing their preferred RSI settings.
🎯 Purpose
This indicator helps traders:
Identify valid impulsive candles, not just large candles
Avoid entries during sideways or consolidation zones
Trade in alignment with the higher timeframe trend
Improve entry selectivity through a scoring-based validation system
⚙️ Core Logic Explained
1️⃣ Momentum Candle Structure
Candle body must fall within a predefined pip range
Minimum body-to-range ratio is required
Upper and lower wick percentages are strictly limited
This helps filter out candles caused by noise or fake breakouts.
2️⃣ Volume Confirmation
Current volume must be above its moving average
Ensures momentum is supported by market participation
3️⃣ ATR-Based Control
Candle body size is capped using ATR
Prevents signals during abnormal volatility spikes (e.g., news events)
4️⃣ Consolidation Filter (Box & Core Zone)
A dynamic price box is built from recent candles
Signals are ignored inside the core consolidation zone
Focuses entries on breakout or expansion phases
5️⃣ Scoring System
Each candle is evaluated using a weighted score:
Candle body quality
Wick structure
Volume strength
ATR validity
Position relative to consolidation
Signals are triggered only when the minimum score threshold is met.
📈 Trend Filtering (EMA HTF & Current TF)
Higher Timeframe EMA defines the main trend direction
Current Timeframe EMA reflects local momentum
Options available:
Trade with HTF trend only
Or allow counter-trend signals (user controlled)
🚨 Alert Feature
Alerts can trigger minutes before candle close
Designed for traders who wait for near-close confirmation
⚠️ IMPORTANT – RSI IS REQUIRED
This indicator does NOT include RSI internally.
📌 You must add an external RSI indicator and use it as:
Additional momentum confirmation
Overbought / oversold filter
Trend strength validation
👉 General RSI usage example:
Buy setups → RSI above 50 and strengthening
Sell setups → RSI below 50 and weakening
(Users are free to adapt RSI settings to their own strategy.)
🛠️ Recommended Usage
Best suited for M5
Optimized for XAUUSD
Can be adapted to other instruments by adjusting pip size
📌 Disclaimer
This indicator is a technical analysis tool, not a trading system.
No guarantees of profitability. Always apply proper risk management, RSI confirmation, and personal backtesting before live trading.
Institutional Scanner FixHere is a professional Pine Script (Version 5) for TradingView. It is optimized to precisely identify the "Absorption" and "Reversal" signals.
What this script does for you:
Auto-Fibonacci: It automatically calculates the 0.618 Golden Ratio of the last 50 candles.
Volume Delta Check: It calculates the delta (buy volume minus sell volume) per candle.
Signal: It marks a "Buy Absorption" when the price touches the 0.618 level but the delta turns positive (green arrow).
The Volume Multiplier is your scanner's "sensitivity knob." It determines how much more volume compared to the average must flow for a signal to be classified as institutionally relevant. Here is the bank standard for calibration, based on your trading strategy and the asset's liquidity:
The rule-of-thumb values for the multiplier
Strategy Type | Recommended Value | Logic
Conservative (High Conviction) | 2.0 to 2.5 | Only extreme volume spikes are marked. Good for swing trades on a daily basis.
Standard (Day Trading) | 1.5 to 1.8 | The "sweet spot." Marks volume that is approximately 50-80% above average.
Aggressive (Scalping) | 1.2 to 1.3 | Reacts very quickly to small order flow changes but produces more "noise" (false signals).
ICT Algo: Sweep + MSS + High Prob FVG/IFVGThis script is a comprehensive execution tool based on Inner Circle Trader (ICT) concepts, specifically designed to identify high-probability entries by combining Liquidity Sweeps, Market Structure Shifts (MSS), and Fair Value Gaps (FVG/IFVG).
Unlike standard FVG indicators that highlight every gap on the chart, this "Algo" version filters for gaps that occur specifically after a liquidity purge and a shift in structure, ensuring you are only looking at setups with institutional backing.
How It Works
The script follows a strict 3-step validation process before plotting a signal:
Liquidity Sweep (The Context): The script tracks Higher Timeframe (HTF) levels including Previous Day High/Low, Weekly High/Low, and Monthly High/Low. A setup is only considered valid if price has recently "swept" one of these levels, indicating a hunt for liquidity.
Market Structure Shift (The Confirmation): Once a sweep occurs, the script looks for a displacement in the opposite direction. It identifies a "Pivot High/Low" (customizable length) and waits for a candle body to close beyond it (MSS).
Filtered Entry (The Trigger): * FVG: Plots a standard Fair Value Gap if it forms within a "Deep Value" zone (Discount for longs, Premium for shorts).
IFVG (Inversion FVG): Highlights failed FVGs that have been reclaimed by price to act as support or resistance.
Key Features
Multi-Timeframe Liquidity Filters: Automatically plots PDH/L, PWH/L, PMH/L, and PYH/L. You can toggle which levels act as your sweep triggers.
Deep Value Logic: The script uses built-in logic to ensure Bullish FVGs are only highlighted when price is below a key liquidity level (Discount), and Bearish FVGs when price is above (Premium).
Dynamic Box Management: To keep your chart clean, boxes for FVGs and IFVGs are automatically shortened ("cut") once they are mitigated by price.
Inversion Logic: Includes a specialized toggle for Inversion Fair Value Gaps, allowing you to trade "failed" gaps that flip their polarity.
Settings & Customization
Entry Setup Bias: Choose to see only Bullish, only Bearish, or Both setups.
MSS Pivot Length: Adjust how "sensitive" the Market Structure Shift detection is. A higher number requires a more significant swing to be broken.
Sweep Lookback: Defines how many bars back the script looks for a liquidity sweep to remain "active" for a setup.
Include Opens: Optional toggle to include Previous Day/Week/Month Opens as liquidity points.
Usage Tips
The Golden Setup: Look for a sweep of a Previous Day High, followed by a Bearish MSS, and an entry at the Red FVG box.
Risk Management: This indicator is designed for entry identification. Always use stop losses (usually placed above/below the candle that created the FVG or the MSS swing point).
Timeframes: Best used on execution timeframes (1m, 5m, 15m) while the script handles the HTF levels automatically.
Disclaimer: This script is an educational tool and does not constitute financial advice. Trading involves significant risk. Past performance of a strategy does not guarantee future results.
Credits: Concepts based on the teachings of Michael J. Huddleston (ICT).
Smart Wedge Pattern [The_lurker]🔺 Smart Wedge Pattern نموذج الوتد الذكي
Advanced & Intelligent Wedge Detection Engine
This is not a traditional indicator that simply draws wedge lines — it is a comprehensive intelligent engine (system) for detecting and analyzing wedge patterns (Rising & Falling Wedge) based on price geometry, market context, and statistical quality of the pattern.
This indicator was designed to address the biggest problems in common wedge indicators:
❌ Too many false patterns
❌ Ignoring prior trend
❌ No real quality assessment for patterns
A comprehensive intelligent system that combines:
Adaptive algorithm that self-calibrates automatically according to market conditions
7 strict validation layers that filter out weak patterns and keep only the highest quality
Quality scoring system that evaluates each pattern from 0 to 100
3D visualization that makes patterns visually clear in an exceptional way
Smart targets based on Fibonacci ratios with real-time achievement tracking
The Result:
➡️ Fewer patterns
➡️ Cleaner, more accurate and reliable signals
➡️ Higher quality
➡️ Real practical use
═════════════════════════════════════════════════════════════
🎯 What Are Wedge Patterns?
1- Falling Wedge — Bullish Reversal Pattern
The falling wedge forms when price moves in a converging downward channel — meaning both the upper resistance line and the lower support line are declining, but the support line declines at a less steep angle, gradually narrowing the channel.
Why does the bullish breakout occur?
Declining highs show continuous selling pressure
But rising lows (P2 < P4) reveal that buyers are entering at higher levels
Convergence indicates decreasing bearish momentum
At a certain point, buying pressure overcomes and the breakout occurs
2- Rising Wedge — Bearish Reversal Pattern
The rising wedge is the exact opposite of the falling wedge — a converging upward channel where both lines rise, but the resistance line rises at a less steep angle.
Why does the bearish breakout occur?
Rising lows show continuous buying pressure
But declining highs (P2 > P4) reveal that sellers are entering at lower levels
Convergence indicates decreasing bullish momentum
At a certain point, selling pressure overcomes and the breakout occurs
═════════════════════════════════════════════════════════════
🧠 Adaptive Pivot System — The Heart of the Smart Indicator
The Problem with Traditional Indicators
Traditional indicators use a fixed value for pivot detection (like 5 bars left and 5 bars right). This means:
In quiet markets → Many delayed signals
In volatile markets → Few missed signals
No adaptation to the nature of each market or timeframe
The Solution: Smart Adaptation Algorithm
The indicator calculates optimal pivot sensitivity on each bar using 5 weighted factors:
Final Score = (Volatility_Score × 0.30) + (Trend_Score × 0.25) +
(Stability_Score × 0.20) + (Percentile_Context × 0.15) +
(Range_Score × 0.10)
Factor Weight How It's Calculated Why It's Important
Volatility Score 30% ATR(10) / ATR(50) Detects sudden changes in volatility
Trend Score 25% ADX(14) / 50 Trending markets need different sensitivity
Stability Score 20% StdDev(ATR) / Mean(ATR) Measures volatility consistency
Percentile Context 15% ATR / Percentile(ATR, 50) Places volatility in historical context
Range Score 10% Current_Range / Average_Range Detects unusual bars
The Result: The indicator uses low sensitivity (fewer, more important pivots) in quiet markets, and high sensitivity (more pivots, faster response) in volatile markets (more accurate pivots = correct geometric patterns).
═════════════════════════════════════════════════════════════
✅ Seven Validation Layers — Why This Indicator Is Different
Every detected pattern passes through 7 strict tests before being displayed:
1- Geometric Structure Validation
Validates:
P1 precedes P2 precedes P3 precedes P4 chronologically
Distance between each two points ≥ minimum threshold
Pattern width (P1→P4) within allowed range
Highs and lows order is correct for the wedge type
2- True Convergence Check
A true wedge must show convergence:
├── Gap at P4 < Gap at P1
├── Convergence ratio = End_Gap / Start_Gap
└── Ratio must be < defined convergence threshold (default 75%)
3- Slope Validation
For Falling Wedge:
├── Resistance line slope < 0 (declining)
├── Support line slope < 0 (declining)
└── Resistance slope < Support slope (convergence)
For Rising Wedge:
├── Resistance line slope > 0 (rising)
├── Support line slope > 0 (rising)
└── Support slope > Resistance slope (convergence)
4- Prior Trend Filter
Reversal patterns need a prior trend to reverse from:
├── Measures price movement during a defined period before P1
├── Normalizes movement using ATR for fair comparison
├── Falling wedge requires prior downtrend
└── Rising wedge requires prior uptrend
5- Channel Respect
Normal mode (close check):
└── Every close between P1 and P4 must be within wedge boundaries
Strict mode (high/low check):
├── Every high must be below resistance line (+ tolerance)
└── Every low must be above support line (- tolerance)
6- Post-P4 Validation
After the fourth point forms:
├── For falling wedge: Price doesn't break support or drop below P4
└── For rising wedge: Price doesn't break resistance or rise above P4
7- Quality Scoring System
Quality = (Convergence_Score × 0.30) + (Slope_Score × 0.25) +
(Width_Score × 0.20) + (Trend_Score × 0.15) +
(Height_Score × 0.10)
├── Convergence Score: More convergence = higher quality
├── Slope Score: Consistency of upper and lower line slopes
├── Width Score: Patterns with 40-100 bar width are ideal
├── Trend Score: Prior trend strength
└── Height Score: Pattern height relative to ATR
═════════════════════════════════════════════════════════════
✅ Pattern Lifecycle Management
The indicator doesn't just draw and disappear — it follows the complete pattern:
Pattern detection
Post-fourth point monitoring
Breakout confirmation
Target calculation
Target achievement tracking
Success or cancellation marking
❌ Pattern is automatically cancelled if:
Breakout fails
Channel is broken in reverse direction
Waiting period exceeded
═════════════════════════════════════════════════════════════
✅ Smart Targets + Success Level
After breakout:
Target is calculated based on pattern height
3 target modes:
Conservative (0.618)
Balanced (1.0)
Aggressive (1.618)
Independent Success level to measure move strength before target
═════════════════════════════════════════════════════════════
🎨 Advanced Visual Display (3D Visualization)
Three-dimensional pattern representation
Visual depth reflecting pattern size
3D target zone
Dynamic colors upon target achievement
🎨 The purpose of 3D is not decoration
But reading the pattern visually with speed and clarity
═════════════════════════════════════════════════════════════
⚙️ Key Features
✅ Automatic wedge detection
✅ Smart filtering reduces false signals
✅ Real quality assessment for each pattern
✅ Realistic and customizable targets
✅ Full support for Rising & Falling Wedge
✅ Works on all markets and timeframes
✅ Professional design and high performance
═════════════════════════════════════════════════════════════
📊 Usage Scenarios
🟢 Scalping
Timeframes: 1–15 minutes
Quality ≥ 60
Conservative targets
🔵 Day Trading
Timeframes: 15m–1h
Quality ≥ 50
Balanced targets
🟣 Swing Trading
Timeframes: 4h–Daily
Quality ≥ 40
Strict channel
Aggressive targets
🟠 Cryptocurrencies
Strict convergence
Strict channel
Quality ≥ 65
═════════════════════════════════════════════════════════════
🔔 Alerts
Falling wedge breakout ⇒ Buy
Rising wedge breakout ⇒ Sell
Any wedge breakout
═════════════════════════════════════════════════════════════
⚠️ Disclaimer
This indicator is for educational and analytical purposes only. It does not represent financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is responsible for any financial decisions or losses.
═════════════════════════════════════════════════════════════
🔺 Smart Wedge Pattern نموذج الوتد الذكي
Advanced & Intelligent Wedge Detection Engine
ليس مؤشرًا تقليديًا يرسم خطوط وتد فقط ، بل هو محرك (نظام) ذكي متكامل لاكتشاف وتحليل نماذج الوتد (Rising & Falling Wedge) اعتمادًا على الهندسة السعرية ، السياق السوقي ، والجودة الإحصائية للنموذج.
تم تصميم هذا المؤشر لمعالجة أكبر مشكلة في مؤشرات الوتد الشائعة:
❌ كثرة النماذج الوهمية
❌ تجاهل الاتجاه السابق
❌ عدم وجود تقييم حقيقي لجودة النموذج
نظام ذكي متكامل يجمع بين:
خوارزمية تكيفية تُعاير نفسها تلقائياً حسب ظروف السوق
7 طبقات تحقق صارمة تُصفّي الأنماط الضعيفة وتُبقي فقط الأعلى جودة
نظام تسجيل جودة يُقيّم كل نموذج من 0 إلى 100
تصور ثلاثي الأبعاد يجعل الأنماط واضحة بصرياً بشكل استثنائي
أهداف ذكية مبنية على نسب فيبوناتشي مع تتبع التحقق الآني
النتيجة:
➡️ نماذج أقل
➡️ إشارات أنظف أكثر دقة وموثوقية
➡️ جودة أعلى
➡️ استخدام عملي حقيقي
═════════════════════════════════════════════════════════════
🎯 ما هي نماذج الأوتاد؟
1- الوتد الهابط (Falling Wedge) — نموذج انعكاسي صعودي
الوتد الهابط يتشكل عندما يتحرك السعر في قناة هابطة متقاربة — أي أن خط المقاومة العلوي وخط الدعم السفلي كلاهما يهبطان، لكن خط الدعم يهبط بزاوية أقل حدة، مما يُضيّق القناة تدريجياً.
لماذا يحدث الكسر الصعودي؟
القمم الهابطة تُظهر ضغطاً بيعياً مستمراً
لكن القيعان الصاعدة (P2 < P4) تكشف أن المشترين يدخلون عند مستويات أعلى
التقارب يُشير إلى تناقص الزخم الهبوطي
عند نقطة معينة، يتغلب ضغط الشراء ويحدث الكسر
2- الوتد الصاعد (Rising Wedge) — نموذج انعكاسي هبوطي
الوتد الصاعد هو عكس الهابط تماماً — قناة صاعدة متقاربة حيث يصعد كلا الخطين، لكن خط المقاومة يصعد بزاوية أقل حدة.
لماذا يحدث الكسر الهبوطي؟
القيعان الصاعدة تُظهر ضغطاً شرائياً مستمراً
لكن القمم الهابطة (P2 > P4) تكشف أن البائعين يدخلون عند مستويات أدنى
التقارب يُشير إلى تناقص الزخم الصعودي
عند نقطة معينة، يتغلب ضغط البيع ويحدث الكسر
═════════════════════════════════════════════════════════════
🧠 نظام المحاور التكيفي — قلب المؤشر الذكي
المشكلة مع المؤشرات التقليدية
المؤشرات التقليدية تستخدم قيمة ثابتة لاكتشاف المحاور (مثل 5 شموع يسار و5 شموع يمين). هذا يعني:
في الأسواق الهادئة → إشارات كثيرة ومتأخرة
في الأسواق المتقلبة → إشارات قليلة وضائعة
لا تكيف مع طبيعة كل سوق أو إطار زمني
الحل: خوارزمية التكيف الذكي
المؤشر يحسب حساسية المحور المثلى في كل شمعة باستخدام 5 عوامل مرجحة:
النتيجة النهائية = (درجة_التقلب × 0.30) + (درجة_الاتجاه × 0.25) +
(درجة_الاستقرار × 0.20) + (السياق_المئوي × 0.15) +
(درجة_النطاق × 0.10)
العامل الوزن كيف يُحسب لماذا مهم
درجة التقلب 30% ATR(10) / ATR(50) يكشف التغير المفاجئ في التقلب
درجة الاتجاه 25% ADX(14) / 50 الأسواق الاتجاهية تحتاج حساسية مختلفة
درجة الاستقرار 20% StdDev(ATR) / Mean(ATR) يقيس ثبات التقلب
السياق المئوي 15% ATR / Percentile(ATR, 50) يضع التقلب في سياقه التاريخي
درجة النطاق 10% النطاق_الحالي / متوسط_النطاق يكشف الشموع غير العادية
النتيجة: المؤشر يستخدم حساسية منخفضة (محاور أقل، أكثر أهمية) في الأسواق الهادئة، وحساسية عالية (محاور أكثر، استجابة أسرع) في الأسواق المتقلبة (محاور أدق = نماذج هندسية صحيحة).
═════════════════════════════════════════════════════════════
✅ طبقات التحقق السبع — لماذا هذا المؤشر مختلف
كل نموذج مُكتشف يمر عبر 7 اختبارات صارمة قبل عرضه:
1- التحقق من البنية الهندسية
يتحقق من:
P1 يسبق P2 يسبق P3 يسبق P4 زمنياً
المسافة بين كل نقطتين ≥ الحد الأدنى المحدد
عرض النموذج (P1→P4) ضمن النطاق المسموح
ترتيب القمم والقيعان صحيح حسب نوع الوتد
2- فحص التقارب الحقيقي
الوتد الحقيقي يجب أن يُظهر تقارباً:
├── الفجوة عند P4 < الفجوة عند P1
├── نسبة التقارب = الفجوة_النهائية / الفجوة_الابتدائية
└── النسبة يجب أن تكون < عتبة التقارب المحددة (افتراضي 75%)
3- التحقق من الميل
للوتد الهابط:
├── ميل خط المقاومة < 0 (هابط)
├── ميل خط الدعم < 0 (هابط)
└── ميل المقاومة < ميل الدعم (تقارب)
للوتد الصاعد:
├── ميل خط المقاومة > 0 (صاعد)
├── ميل خط الدعم > 0 (صاعد)
└── ميل الدعم > ميل المقاومة (تقارب)
4- فلتر الاتجاه السابق
النماذج الانعكاسية تحتاج اتجاهاً سابقاً لتنعكس منه:
├── يقيس حركة السعر خلال فترة محددة قبل P1
├── يُطبّع الحركة باستخدام ATR لمقارنة عادلة
├── الوتد الهابط يحتاج اتجاهاً هابطاً سابقاً
└── الوتد الصاعد يحتاج اتجاهاً صاعداً سابقاً
5- احترام القناة
وضع عادي (فحص الإغلاق):
└── كل إغلاق بين P1 و P4 يجب أن يكون داخل حدود الوتد
وضع صارم (فحص القمة/القاع):
├── كل قمة يجب أن تكون تحت خط المقاومة (+ نسبة تسامح)
└── كل قاع يجب أن يكون فوق خط الدعم (- نسبة تسامح)
6- التحقق بعد P4
بعد تشكل النقطة الرابعة:
├── للوتد الهابط: السعر لا يكسر خط الدعم أو ينزل تحت P4
└── للوتد الصاعد: السعر لا يكسر خط المقاومة أو يصعد فوق P4
7- نظام تسجيل الجودة
الجودة = (درجة_التقارب × 0.30) + (درجة_الميل × 0.25) +
(درجة_العرض × 0.20) + (درجة_الاتجاه × 0.15) +
(درجة_الارتفاع × 0.10)
├── درجة التقارب: كلما زاد التقارب، زادت الجودة
├── درجة الميل: تناسق ميل الخطين العلوي والسفلي
├── درجة العرض: الأنماط بعرض 40-100 شمعة مثالية
├── درجة الاتجاه: قوة الاتجاه السابق
└── درجة الارتفاع: ارتفاع النموذج نسبة لـ ATR
═════════════════════════════════════════════════════════════
✅ إدارة دورة حياة النموذج (Pattern Lifecycle)
المؤشر لا يرسم ثم يختفي، بل يتابع النموذج كاملًا:
اكتشاف النموذج
مراقبة ما بعد النقطة الرابعة
تأكيد الاختراق
حساب الهدف
تتبع الوصول للهدف
تمييز النجاح أو الإلغاء
❌ يتم إلغاء النموذج تلقائيًا إذا:
فشل في الاختراق
كُسرت القناة عكسيًا
تجاوز مدة الانتظار المحددة
═════════════════════════════════════════════════════════════
✅ أهداف ذكية + Success Level
بعد الاختراق:
يتم حساب الهدف بناءً على ارتفاع النموذج
3 أوضاع للأهداف:
Conservative (0.618)
Balanced (1.0)
Aggressive (1.618)
مستوى Success مستقل لقياس قوة الحركة قبل الهدف
═════════════════════════════════════════════════════════════
🎨 عرض بصري متقدم (3D Visualization)
تمثيل ثلاثي الأبعاد للنموذج
عمق بصري يعكس حجم النموذج
منطقة هدف ثلاثية الأبعاد
ألوان ديناميكية عند تحقق الهدف
🎨 الهدف من 3D ليس الزينة
بل قراءة النموذج بصريًا بسرعة ووضوح
═════════════════════════════════════════════════════════════
⚙️ أهم المميزات
✅ اكتشاف تلقائي للأوتاد
✅ فلترة ذكية تقلل الإشارات الوهمية
✅ تقييم جودة حقيقي لكل نموذج
✅ أهداف واقعية وقابلة للتخصيص
✅ دعم كامل لـ Rising & Falling Wedge
✅ يعمل على جميع الأسواق والفريمات
✅ تصميم احترافي وأداء عالي
═════════════════════════════════════════════════════════════
📊 سيناريوهات الاستخدام
🟢 المضاربة السريعة
أطر: 1–15 دقيقة
جودة ≥ 60
أهداف محافظة
🔵 التداول اليومي
أطر: 15د–1س
جودة ≥ 50
أهداف متوازنة
🟣 التداول المتأرجح
أطر: 4س–يومي
جودة ≥ 40
قناة صارمة
أهداف عدوانية
🟠 العملات الرقمية
تقارب صارم
قناة صارمة
جودة ≥ 65
═════════════════════════════════════════════════════════════
🔔 التنبيهات
كسر وتد هابط ⇒ شراء
كسر وتد صاعد ⇒ بيع
أي كسر وتد
═════════════════════════════════════════════════════════════
⚠️ إخلاء المسؤولية
هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Supertrend Nova Cloud [Pineify]Supertrend Nova Cloud
Overview
The Supertrend Nova Cloud is a sophisticated trend-following system designed to filter market noise and provide clear, actionable insights into market direction and volatility. By combining two distinct Supertrend calculations—the fast-acting "Nova" and the slower, more robust "Nebula"—this indicator creates a dynamic "Cloud" that visualizes the strength and stability of the current trend. It is engineered to help traders identify strong trending periods, potential pullbacks, and major reversals with greater confidence than a single Supertrend indicator.
Key Features
Dual-Trend Architecture: Utilizes a two-layer approach with a Fast (Nova) and Slow (Nebula) Supertrend to define market structure.
Dynamic Nova Cloud: A visual gradient fill between the two trendlines that adjusts its intensity ("Glow") based on the spread between the trends, representing market volatility.
Smart Candle Coloring: Candles are colored based on the consensus between the two trends, clearly distinguishing between strong trends, pullbacks, and recovery phases.
High-Quality Signals: Buy and Sell signals are filtered and only generated when the major (Slow) trend reverses, reducing false signals during chop.
Real-time Dashboard: An on-chart dashboard displays the current state of both the Nova and Nebula trends for instant analysis.
How It Works
The Supertrend Nova Cloud operates on the principles of Average True Range (ATR) volatility to determine trend direction.
Nova (Fast Trend): Calculated using a shorter ATR length (default 10) and a lower multiplier (default 2.0). This line reacts quickly to price changes, serving as an early warning system or trailing stop for aggressive entries.
Nebula (Slow Trend): Calculated using a longer ATR length (default 20) and a higher multiplier (default 4.0). This line defines the overall market bias and acts as significant support/resistance.
Cloud Gradient Logic: The script calculates the absolute difference (delta) between the Nova and Nebula lines. It compares this delta to its recent historical maximum to determine the opacity of the fill color. A wider spread (higher volatility) results in a brighter, more opaque cloud, while a narrow spread (consolidation) results in a more transparent cloud.
How multiple indicators work together
In trading, a single trend indicator often faces a dilemma: if it's too fast, it gives false signals; if it's too slow, it lags significantly. The Supertrend Nova Cloud solves this by combining both:
The Fast Supertrend captures immediate momentum and provides potential re-entry points during strong trends.
The Slow Supertrend acts as a filter. The script logic enforces that major reversal signals ("NOVA BUY/SELL") are only triggered when this slower, dominant trend changes direction.
By requiring the Slow trend to confirm the reversal, the indicator filters out the "noise" that would typically whip-saw a standard Supertrend.
Trading Ideas and Insights
Trend Riding: When the Cloud is fully Green (Strong Bull) or Red (Strong Bear), and the candles match this color, the trend is established. These are ideal conditions for holding positions.
Pullback Opportunities: If the candles turn a lighter shade (e.g., light red during an uptrend), it indicates the price has broken the Fast trend but holds above the Slow trend. This "Mixed" state often represents a buying opportunity in an uptrend (or selling in a downtrend).
Volatility Expansion: A widening cloud (brighter glow) indicates expanding volatility and often accompanies a strong breakout or trend acceleration.
Unique Aspects
Visual Volatility Feedback: Unlike standard fills, the "Nova Cloud" uses a custom algorithm to adjust transparency based on the relative distance between the two trendlines. This gives traders an intuitive sense of market expansion and contraction.
Nuanced State Detection: The script doesn't just show Up or Down. It identifies four states: Strong Bull, Strong Bear, Fast Bull/Slow Bear (Recovery), and Fast Bear/Slow Bull (Pullback), coding the candles accordingly.
How to Use
Entry: Look for "NOVA BUY" or "NOVA SELL" labels. These appear when the major trend (Nebula) flips, confirming a significant shift in market structure.
Stop Loss: The Nebula (thick) line serves as a robust trailing stop loss. As long as price holds beyond this line, the macro trend remains intact.
Re-Entry/Pyramiding: During a strong trend, if price dips into the cloud (changing candle color to mixed/neutral) and then resumes the trend color, it can be a valid re-entry signal.
Customization
Users can fully customize the indicator via the settings menu:
Nova & Nebula Settings: Adjust the ATR Length and Factor for both the Fast and Slow trends to tune sensitivity for different timeframes or assets.
Visuals: Toggle the Dashboard, Candle Coloring, and customize the colors for Bullish, Bearish, and Neutral states.
Conclusion
The Supertrend Nova Cloud offers a comprehensive visual interface for trend traders. By harmonizing two time horizons of volatility analysis into a single, cohesive display, it simplifies decision-making and helps traders stay on the right side of the major trend while identifying granular opportunities within it.
