开始

在脚本中搜索"volume profile"

STICKY MONEY ai v69.23STICKY MONEY ai - Multi-Timeframe Confluence Analysis System v69.23 This closed-source overlay indicator integrates multiple analytical layers to highlight high-probability confluence zones in dynamic markets such as crypto, forex, and indices. Proprietary Core Mechanism: - Adaptive Tension Release Logic: Identifies build-up phases through strength-filtered pivots and momentum decay analysis, releasing signals only when a dynamic volatility-based tension threshold is met. This filtering minimizes false breaks and whipsaws typical in standard fractal or pivot-based tools. Layered Components & Synergistic Interaction: - 7-Timeframe Bias Monitor: Provides directional alignment across multiple TFs, anchored by the 4H EMA 50, serving as a higher-TF filter to reduce noise on lower timeframes. - HOT TIME Volatility Windows: Detects 30-minute peak expansion periods from historical session data, restricting signals to high-liquidity institutional windows. - Structural Confluence Clusters: Auto-detects intersections of session boxes (London, NY, Asian), multi-period Fibonacci clusters (90-min, NY, daily/weekly/monthly), and visible-range volume nodes/gaps for targeted entry/exit focus. - Volume Profile & Distribution: Highlights high-volume acceptance zones and low-volume gaps to validate level strength. - Automated Trendlines & Fractals: Combines pivot-based lines with clean swing detection for structural context. Unique Edge & Value: Standard indicators (e.g., multi-TF EMAs, sessions, fibs, volume profiles) often generate excessive or conflicting signals in choppy conditions. This system's deliberate synergy — session windows + higher-TF bias as strict guards, paired with adaptive Tension Release for precise timing — creates a refined confluence framework that aims to deliver higher-quality setups with fewer false positives. The adaptive elements and real-time dashboard offer advantages over free/public equivalents, particularly for scalping or day trading on lower timeframes. Usage: - Optimal on 5m-15m charts for entries, higher TFs for bias. - Customize inputs for sensitivity, timeframes, and alerts. - Session timings use US Central Time reference; plots auto-adapt to chart timezone (display only). - Analytical/educational tool only — no guarantees or financial advice; trade responsibly.
Pine Script®指标
由StickyMoney提供
1
DTR OI IndicatorThe DTR OI Indicator is a multi-exchange open interest indicator designed for futures traders. It aggregates OI from multiple exchanges to provide a unified and more reliable view of market positioning. MAIN FUNCTIONS • Open Interest Candles • Open Interest Delta • Delta × Relative Volume • Open Interest RSI • Threshold-based alerts for unusually large OI increases or decreases • Optional OI EMA smoothing PROFILE SYSTEM Includes an OI-based distribution profile similar to a volume profile. Shows Value Area, POC, and structural nodes based on OI activity within the visible chart range. WHAT IT HELPS IDENTIFY • Liquidations and rekt events • Aggressive long/short buildup • Position unwinds ahead of reversals • OI-driven levels of interest • Momentum confirmation (Delta × rVOL) • Trend exhaustion (OI RSI) NOTES • Works across several exchanges for broader accuracy • Coin or USD quoting supported • Profile mode is resource-intensive • No repainting Ideal for traders who rely on OI, delta, and market positioning to understand futures flows and liquidity shifts.
Pine Script®指标
由Didogaz提供
SpaceTime Profile Regular SpaceManBTCSpaceTime Profile Regular SpaceManBTC Is a profiling tool for a market session. Using time and price it calculates the TPO mapping the POC on your chart as well as the general profile. The tool is useful as it can give you a general idea of how a day traded/is trading based off of its shape. As well as provides the current developing POC as a reference for potentially a dynamic level of interest. Value area shading is also including in the release using 68% as my reference of personal choice to represent where bulk of the market activity occured on a given time frame. To generate the data the indicator aims to look at the price variations over time of the given session (you can choose this in settings), this will then stack and overlay on the chart to generate the TPO calculations by mapping 1 to 1 with the price you see on the chart. This will give you areas of importance such as the POC which can be retested when naked providing a point of interest. Works similar to volume profile but with no volume calculations only with price and time in mind. Very useful tool for trend / market analysis by providing this graphical representation of a trading session between buyers and sellers!
Pine Script®指标
由spacemanbtc提供
9
Momentum by Trading BiZonesSqueeze Momentum Indicator with EMA Overview The Squeeze Momentum Indicator with EMA is a powerful technical analysis tool that combines the original Squeeze Momentum concept with an Exponential Moving Average (EMA) overlay. This enhanced version helps traders identify market momentum, volatility contractions (squeezes), and potential trend reversals with greater precision. Core Concept The indicator operates on the principle of volatility contraction and expansion: Squeeze Phase: When Bollinger Bands move inside the Keltner Channel, indicating low volatility and potential energy buildup Expansion Phase: When momentum breaks out of the squeeze, signaling potential directional moves Key Components 1. Squeeze Momentum Calculation Formula: Momentum = Linear Regression(Close - Average Price) Where Average Price = (Highest High + Lowest Low + SMA(Close)) / 3 Visualization: Histogram bars showing positive (green) and negative (red) momentum Zero Line: Represents equilibrium point between buyers and sellers 2. EMA Overlay Purpose: Smooths momentum values to identify underlying trends Customization: Adjustable period (default: 20) Toggle on/off display Customizable color and line thickness Cross Signals: Buy/sell signals when momentum crosses above/below EMA 3. Volatility Bands Bollinger Bands (20-period, 2 standard deviations) Keltner Channels (20-period, 1.5 ATR multiplier) Squeeze Detection: Visual background shading when BB are inside KC Trading Signals Buy Signals (Green Upward Triangle) Momentum histogram crosses ABOVE EMA line Occurs during or after squeeze release Confirmed by expanding histogram bars Sell Signals (Red Downward Triangle) Momentum histogram crosses BELOW EMA line Often precedes market downturns Watch for increasing negative momentum Squeeze Warnings (Gray Background) Market in low volatility state Prepare for potential breakout Direction indicated by momentum bias Indicator Settings Main Parameters Length: Period for calculations (default: 20) Show EMA: Toggle EMA visibility EMA Period: Smoothing period for EMA Visual Settings Histogram color-coding based on momentum direction EMA line color and thickness Signal marker size and visibility Squeeze zone background display Practical Applications Trend Identification Uptrend: Consistently positive momentum with EMA support Downtrend: Consistently negative momentum with EMA resistance Range-bound: Oscillating around zero line Entry/Exit Points Conservative Entry: Wait for squeeze release + EMA crossover Aggressive Entry: Anticipate breakout during squeeze Exit: Opposite crossover or momentum divergence Risk Management Use squeeze zones as warning periods EMA crossovers as confirmation signals Combine with support/resistance levels Advanced Interpretation Momentum Strength Strong Bullish: Tall green bars above EMA Weak Bullish: Short green bars near EMA Strong Bearish: Tall red bars below EMA Weak Bearish: Short red bars near EMA Divergence Detection Price makes higher high, momentum makes lower high → Bearish divergence Price makes lower low, momentum makes higher low → Bullish divergence Squeeze Characteristics Long squeezes: More potential energy Frequent squeezes: Choppy market conditions No squeezes: High volatility, trending markets Recommended Timeframes Scalping: 1-15 minute charts Day Trading: 15-minute to 4-hour charts Swing Trading: 4-hour to daily charts Position Trading: Daily to weekly charts Best Practices Confirmation Use with volume indicators Check higher timeframe direction Wait for candle close confirmation Filtering Signals Ignore signals during extreme volatility Require minimum bar size for crossovers Consider market context (news, sessions) Combination Suggestions With RSI: Confirm overbought/oversold conditions With Volume Profile: Identify high-volume nodes With Support/Resistance: Key level reactions With Trend Lines: Breakout confirmations Limitations Lagging indicator (based on past data) Works best in trending markets May give false signals in ranging markets Requires proper risk management Conclusion The Squeeze Momentum Indicator with EMA provides a comprehensive view of market dynamics by combining volatility analysis, momentum measurement, and trend smoothing. Its visual clarity and customizable parameters make it suitable for traders of all experience levels seeking to identify high-probability trading opportunities during volatility contractions and expansions.
Pine Script®指标
由Trading_BiZones提供
Nexural JMAHere's a natural description for TradingView: Nexural JMA - Jurik Moving Average with Multi-Factor Analysis WHAT IT DOES This is a Jurik Moving Average indicator that I've enhanced with multi-factor scoring to help you identify high-quality trade setups. JMA is known for being smoother and more responsive than traditional moving averages, which means less lag without the whipsaw you get from faster EMAs. The indicator plots the JMA line on your chart with dynamic support and resistance zones, entry signals, and a real-time dashboard that scores market conditions from 0 to 100 across five key factors. KEY FEATURES Jurik Moving Average - A sophisticated moving average that adapts quickly to price changes while staying smooth. You can adjust the phase and power settings to control its responsiveness. Dynamic Zones - Creates a cloud around the JMA based on ATR. Think of it as a buffer zone that shows where price typically bounces or breaks through. Multi-Factor Scoring - Real-time scores for Momentum, Volume, Volatility, and Trend Strength. All metrics are normalized to 0-100 so you can quickly see what's strong and what's weak. Strength-Based Gradient - The JMA line and cloud change opacity based on trend strength. Bright and solid means strong conviction, faded means weak or transitional. Filtered Signals - Entry signals only appear when multiple factors align - price crosses the JMA, volume confirms, and trend strength is adequate. HOW TO USE IT The JMA Line - This is your trend filter. When the line is green and rising, look for long opportunities. When it's red and falling, look for shorts. The brighter the color, the stronger the trend. The Cloud - Price typically bounces off the cloud edges in trends. When price breaks through the cloud against the trend, it often signals exhaustion or reversal. Entry Signals - Green triangles below price are long signals. Red triangles above price are short signals. These only fire when volume, momentum, and trend strength are adequate. The Dashboard - This is your market health monitor. Check it before taking a trade. You want to see high scores (70+) in momentum and trend strength for the best setups. Volume above 50 adds confirmation. Volatility Score - High volatility (70+) means wider stops and bigger targets. Low volatility (below 30) means tighter ranges and smaller moves. BEST PRACTICES Use the dashboard to filter trades. If trend strength is below 40, the market is choppy and you're better off waiting for clarity. Pay attention to the gradient intensity. A bright solid JMA line with a visible cloud means the trend has conviction. A faded line means the trend is weak or transitioning. Volume matters. Signals with volume scores above 70 tend to have better follow-through than those with weak volume. Don't force trades when momentum is low. Below 40 momentum score means the market is consolidating or drifting. Use the cloud as a stop loss guide in trends. Price reclaiming the cloud against the trend is often your signal to exit or tighten stops. UNDERSTANDING THE SCORES Momentum Score - Measures the rate of change over 10 bars compared to recent history. High scores mean price is moving decisively. Volume Score - Compares current volume to the last 100 bars. Above 70 means volume is strong, below 30 means it's weak. Volatility Score - Based on ATR percentile. High scores mean the market is moving with larger swings, low scores mean it's quiet. Trend Strength - Combines how far price is from the JMA plus the slope of the JMA itself. This is your conviction meter. SETTINGS BREAKDOWN JMA Length - Default is 7, which is quite responsive. Increase to 14 or 21 for smoother trends on higher timeframes. Lower to 5 for faster response on scalping timeframes. Phase - Default is 50 which is balanced. Higher values (70-100) make it more responsive but can increase whipsaws. Lower values (0-30) make it smoother but add lag. Power - Controls the JMA curve calculation. Default is 2 which works well. Higher values make it more responsive at the cost of smoothness. Source - Default is close, but you can experiment with hlc3 or ohlc4 for different characteristics. PROS Clean visual presentation - The gradient system makes trend strength obvious at a glance. No guesswork on market conditions - The scored dashboard tells you exactly what's working and what's not. Filtered signals - Unlike basic moving average crosses, these signals require multiple confirmations. Adaptable - Works on stocks, crypto, forex, and futures. Just adjust the length for your timeframe. Low lag - JMA responds faster than SMA or EMA of the same length, so you get earlier entries. CONS JMA can be sensitive - On the default settings, you might see some false signals in choppy markets. Consider increasing the length if this happens. Requires interpretation - The dashboard gives you data, but you still need to make the trading decision. It's not a one-click solution. Works best in trends - Like most moving average systems, it struggles in tight sideways ranges. Low trend strength scores will warn you when this is happening. Not ideal for very fast scalping - The default length of 7 works for 5-minute and above, but for 1-minute scalping, you might need to drop it to 3-5 and accept more noise. Volume data quality matters - On some assets or timeframes, volume data is unreliable or unavailable. The volume score will be less useful in those cases. TIPS FROM MY TESTING The indicator works best on the 5-minute to daily timeframes. I've had the most success on 15-minute and 1-hour charts. When all scores are above 60, you're in prime trading conditions. These are your A+ setups. Use it with support and resistance. When a signal fires at a key level with high trend strength, the probability increases significantly. The cloud is your friend in trends. In strong trends, price will use the cloud edges as support or resistance for continuation entries. Don't ignore weak signals in strong trends. Sometimes a low momentum score during a pullback in a strong trend is your best re-entry point. Watch for divergence between price and the JMA. If price makes a new high but the JMA is fading in color and trend strength is dropping, that's often a warning sign. ALERT SYSTEM The alerts include the trend strength score in the message, so you know immediately if it's a high-conviction signal or a marginal one. Set your alerts to "once per bar close" to avoid repainting. COMBINING WITH OTHER TOOLS This works great with RSI or stochastic for timing entries. Use the JMA for trend direction and zones for context, then use an oscillator to time the exact entry. It pairs well with volume profile. The JMA shows you the trend, volume profile shows you where the battle is happening. Consider using a higher timeframe JMA for bias and a lower timeframe for entries. If the 1-hour JMA is bullish with 80 trend strength, look for long entries on the 15-minute chart. This indicator is designed to give you clarity in a noisy market. The JMA itself is a powerful tool, but adding the multi-factor scoring system helps you understand the quality of what you're seeing. It's not magic, but it's been helpful for filtering out the junk and focusing on the setups with the best probability. As always, backtest it on your markets and timeframes. Adjust the settings to fit your trading style. What works for one person might not work for another, so make it your own. Good luck and trade safe.
Pine Script®指标
由Nexural提供
chanlun缠论 - 笔与中枢Overview The Chanlun (缠论) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (笔) and "central hubs" (中枢), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones. Theoretical Foundation Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures: Local Extremes: Swing highs and lows identified through lookback periods Strokes (笔): Valid price movements between opposite extremes that meet specific criteria Central Hubs (中枢): Consolidation zones formed by overlapping strokes, representing key support/resistance areas Key Components 1. Local Extreme Detection Identifies swing highs and lows using a configurable lookback period (default: 5 bars) Only considers extremes within the specified calculation range Forms the foundation for stroke construction 2. Stroke (笔) Identification The indicator applies a multi-stage filtering process to identify valid strokes: Stage 1 - Extreme Consolidation: Merges consecutive extremes of the same type (high or low) Keeps only the most extreme value (highest high or lowest low) Stage 2 - Stroke Validation: Ensures minimum bar gap between strokes (default: 4 bars) Alternative validation: 2+ bars with >1% price change Eliminates noise and insignificant price movements Color Coding: White Lines: Regular up/down strokes Yellow Lines: Strokes that form part of a central hub Customizable width and colors for different stroke types 3. Central Hub (中枢) Formation A central hub forms when at least 3 consecutive strokes have overlapping price ranges: Formation Rules: Stroke 1: Stroke 2: Stroke 3: Hub Upper = MIN(High1, High2, High3) Hub Lower = MAX(Low1, Low2, Low3) Valid if: Hub Upper > Hub Lower Hub Extension: Subsequent strokes that overlap with the hub extend it Hub ends when a stroke no longer overlaps Creates rectangular zones on the chart Visual Representation: Green rectangular boxes: Mark the time and price range of each central hub Dashed extension lines: Show the latest hub boundaries extending to the right Price labels on axis: Display exact hub upper and lower boundary values 4. Extreme Point Markers (Optional) Red markers for tops (▼) Green markers for bottoms (▲) Marks every validated stroke extreme point Useful for detailed structure analysis 5. Information Table (Optional) Displays real-time statistics: Symbol name Current timeframe Lookback period setting Minimum gap setting Total stroke count Parameter Settings Performance Settings Max Bars to Calculate (3600): Limits historical calculation to improve performance Local Extreme Lookback Period (5): Bars used to identify swing highs/lows Min Gap Bars (4): Minimum bars required between valid strokes Display Settings Show Strokes: Toggle stroke line visibility Show Central Hub: Toggle hub box visibility Show Hub Extension Lines: Toggle dashed boundary lines Show Extreme Point Marks: Toggle top/bottom markers Show Info Table: Toggle statistics table Color Settings Full customization of: Up/down stroke colors and widths Hub stroke colors and widths Hub border and background colors Extension line colors Trading Applications Trend Structure Analysis Uptrend: Series of higher highs and higher lows connected by strokes Downtrend: Series of lower highs and lower lows connected by strokes Consolidation: Formation of central hubs indicating range-bound movement Support and Resistance Identification Central Hub Zones: Act as strong support/resistance areas Hub Upper Boundary: Resistance level in consolidation, support after breakout Hub Lower Boundary: Support level in consolidation, resistance after breakdown Price tends to react at these levels due to market structure memory Breakout Trading Bullish Breakout: Price closes above hub upper boundary Previous resistance becomes support Entry on retest of upper boundary Stop loss below hub zone Bearish Breakdown: Price closes below hub lower boundary Previous support becomes resistance Entry on retest of lower boundary Stop loss above hub zone Reversal Detection Hub Formation After Trend: Signals potential trend exhaustion Multiple Hub Levels: Create probability zones for reversals Stroke Count: Excessive strokes within hub suggest weakening momentum Position Management Use hub boundaries for stop loss placement Scale out positions at hub edges Re-enter on retests of broken hub levels Interpretation Guide Strong Trending Market Long, clear strokes with minimal overlap Few or no central hubs forming Strokes consistently in same direction Wide spacing between extremes Consolidating Market Multiple central hubs forming Short, overlapping strokes Yellow hub strokes dominate the chart Narrow price range Trend Transition Hub formation after extended trend Stroke direction changes frequently Hub boundaries being tested repeatedly Potential reversal zone Advanced Usage Techniques Multi-Timeframe Analysis Higher Timeframe: Identify major hub zones for overall market structure Lower Timeframe: Find precise entry points within larger structure Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks Hub Quality Assessment Wide Hubs: Strong consolidation, higher probability support/resistance Narrow Hubs: Weak consolidation, may break easily Extended Hubs: More strokes = stronger zone Isolated Hubs: Single hub = potential pivot point Stroke Analysis Stroke Length: Longer strokes = stronger momentum Stroke Speed: Fewer bars per stroke = explosive moves Stroke Clustering: Many short strokes = indecision Best Practices Parameter Optimization Adjust lookback period based on timeframe and volatility Lower periods (3-4): More strokes, more noise, faster signals Higher periods (7-10): Fewer strokes, cleaner structure, slower signals Confirmation Strategy Don't trade on strokes alone Combine with volume analysis Use candlestick patterns at hub boundaries Wait for breakout confirmation Risk Management Always place stops outside hub zones Use hub width to size positions (wider hub = smaller position) Exit if price re-enters broken hub from wrong direction Avoid Common Pitfalls Don't trade within central hubs (range-bound, unpredictable) Don't ignore higher timeframe hub structures Don't chase strokes after they've extended far from hub Don't trust single-stroke hubs (need 3+ strokes for validity) Performance Considerations Max Bars Limit: Set to 3600 to balance detail with performance Safe Distance Calculation: Only draws objects within 2000 bars of current price Object Cleanup: Automatically removes old drawing objects to prevent memory issues Efficient Arrays: Uses indexed arrays for fast lookup and processing Ideal Market Conditions Best Performance: Liquid markets with clear structure (major forex pairs, indices, large-cap stocks) Trending markets with periodic consolidations Medium to high volatility for clear stroke formation Less Effective: Extremely choppy, directionless markets Very low timeframes (< 5 minutes) with excessive noise Illiquid instruments with erratic price action Integration with Other Indicators Complementary Tools: Volume Profile: Confirm hub significance with volume nodes Moving Averages: Use for trend bias within stroke structure RSI/MACD: Momentum confirmation at hub boundaries Fibonacci Retracements: Hub levels often align with Fib levels Advantages ✓ Objective Structure: Removes subjectivity from market structure analysis ✓ Visual Clarity: Color-coded strokes and clear hub zones ✓ Multi-Timeframe Applicable: Works on all timeframes from minutes to months ✓ Complete Framework: Provides entry, exit, and risk management levels ✓ Theoretical Foundation: Based on proven Chan Theory methodology ✓ Customizable: Extensive parameter and visual customization options Limitations ⚠ Learning Curve: Requires understanding of Chan Theory principles ⚠ Lag Factor: Strokes confirm after price movements complete ⚠ Parameter Sensitivity: Different settings produce significantly different results ⚠ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions ⚠ Computation Intensive: May slow down on lower-end systems with max bars setting Optimization Tips Timeframe Selection Scalping: 5-15 minute charts, lookback period 3-4 Day Trading: 15-60 minute charts, lookback period 4-5 Swing Trading: 4-hour to daily charts, lookback period 5-7 Position Trading: Daily to weekly charts, lookback period 7-10 Volatility Adjustment High volatility: Increase minimum gap bars to reduce noise Low volatility: Decrease lookback period to capture smaller moves Visual Optimization Use contrasting colors for different market conditions Adjust line widths based on chart resolution Toggle markers off for cleaner appearance once familiar with structure Quick Start Guide For Beginners: Start with default settings (5 lookback, 4 min gap) Enable "Show Info Table" to track stroke count Focus on identifying clear hub formations Practice waiting for price to break hub boundaries before trading For Advanced Users: Optimize lookback and gap parameters for your instrument Use hub strokes (yellow) to identify key consolidation zones Combine with multiple timeframes for confirmation Develop entry rules based on hub breakout/retest patterns This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Pine Script®指标
由nozhizhi提供
6
Smart Liquidity & OTE Analysis Tool # Smart Liquidity & OTE Analysis Tool ## OVERVIEW This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements. The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior. --- ## CORE CONCEPTS & METHODOLOGY ### 1. TRADING SESSIONS ANALYSIS **What it does:** The indicator tracks three major forex trading sessions with customizable time zones: - **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action - **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity - **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity **How it works:** - Automatically highlights active sessions with colored background boxes - Draws session high/low lines which often act as intraday support/resistance - Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest - Color-codes the price bars during overlaps to alert traders to increased opportunity periods - Displays real-time session status (🟢 Open / 🔴 Closed) for quick reference **Trading Application:** Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously. --- ### 2. EXTERNAL LIQUIDITY SWEEPS **What it does:** Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected. **How it works:** - Scans the previous 20 bars (configurable) to identify swing high and low points - Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows) - Monitors price action using three detection methods: * **Wick Break:** Any candle wick extending beyond the liquidity level * **Close Break:** Candle body closing beyond the level (stronger confirmation) * **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab) - Uses an ATR-based buffer to avoid false signals from minor price spikes - Confirms sweeps only after a configurable number of confirmation bars to reduce repainting **The Logic Behind It:** Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals. **Visual Representation:** - Blue horizontal lines mark buyside liquidity zones (above price) - Gray horizontal lines mark sellside liquidity zones (below price) - Labels indicate when liquidity has been swept (✓) or remains active - Historical zones are maintained for context (configurable display limit) --- ### 3. INTERNAL LIQUIDITY DETECTION **What it does:** Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves. **How it works:** - Examines the most recent 8 bars (configurable) for price levels that occur multiple times - Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal" - Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity - Tracks both the creation and sweeping of these internal levels - Differentiates between wick breaks and close breaks for sweep confirmation **The Concept:** Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves. **Why This Matters:** Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing. **Visual Representation:** - Cyan lines mark internal buyside liquidity (equal highs) - Orange lines mark internal sellside liquidity (equal lows) - Dashed or solid lines based on user preference - Labels show when internal levels are swept --- ### 4. OPTIMAL TRADE ENTRY (OTE) ZONES **What it does:** Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break. **How it works:** - Identifies swing highs and lows using a 10-bar lookback period (configurable) - Calculates three key Fibonacci levels: * **0.618** - The "golden ratio" retracement (most significant) * **0.705** - Mid-point between 0.618 and 0.786 * **0.786** - Deep retracement level (square root of 0.618) - Optionally requires a structure break before displaying OTE zones - Dynamically extends zones as new price action develops - Tracks whether price has entered the zone (✅) or exited without filling (❌) - Displays up to 2 most recent zones (configurable) to avoid chart clutter **The Methodology:** OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios. **Combining with Liquidity:** The most powerful setups occur when: 1. External liquidity is swept 2. Price retraces into an OTE zone 3. Internal liquidity is present as a target This confluence suggests smart money activity and high-probability trade opportunities. **Visual Representation:** - Shaded blue zone between 0.618 and 0.786 levels - Three horizontal lines showing key Fibonacci levels with different colors/styles - Labels (🎯) indicate bullish or bearish OTE zones - Entry (✅) and exit (❌) status for each zone --- ## WHY THESE FEATURES WORK TOGETHER This indicator combines these four components because they represent different stages of institutional trading behavior: 1. **Session Timing** - Identifies WHEN institutional activity is highest 2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity 3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps 4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons Rather than using each concept in isolation, this integration creates a complete market structure framework. For example: - A buyside liquidity sweep during London open → - Followed by a retrace into a bullish OTE zone → - With internal sellside liquidity as the initial target This sequence represents a complete high-probability trade setup aligned with smart money principles. --- ## ANTI-REPAINTING FEATURES **The Repainting Problem:** Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy. **Our Solution:** - **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars) - **Marked Confirmation:** Labels show "C" when using confirmed signals - **Trade-off:** More confirmation = less repainting but slightly delayed signals - **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable) --- ## KEY CUSTOMIZATION OPTIONS ### Master Controls - Toggle each major feature on/off independently - Combine only the features relevant to your trading style ### Display Settings - Adjust lookback periods for each component - Control number of historical zones displayed - Customize colors, line styles, and transparency - Show/hide labels and session names - Configure text sizes for different screen setups ### Detection Sensitivity - **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces - **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals) - **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal" - **Confirmation Bars:** Balance between signal speed and reliability ### Alert System - Session open/close notifications - Liquidity sweep alerts - OTE zone entry alerts - Configurable alert frequency and types --- ## HOW TO USE THIS INDICATOR ### Basic Setup 1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday) 2. Enable the features you want to use via Master Controls 3. Adjust colors and transparency to match your chart preferences 4. Configure alert preferences if using notifications ### Trading Workflow **Step 1: Identify the Session** - Determine which trading session is active or approaching - Note session highs/lows as potential liquidity targets - Be especially alert during session overlaps **Step 2: Watch for Liquidity Sweeps** - Monitor external liquidity lines (swing highs/lows) - When price sweeps liquidity, anticipate a potential reversal - Stronger sweeps (close breaks + full retraces) are more significant **Step 3: Wait for OTE Retracement** - After a sweep, wait for price to retrace into the OTE zone (0.618-0.786) - Bullish OTE after sellside sweep = potential long - Bearish OTE after buyside sweep = potential short **Step 4: Use Internal Liquidity as Targets** - Look for internal liquidity in the direction of your trade - These serve as initial profit targets - External liquidity serves as extended targets **Step 5: Manage Confirmation Settings** - For live trading, use confirmed signals (2+ confirmation bars) - For backtesting or analysis, you may use real-time signals - Note that confirmed signals appear with "C" marking ### Example Trade Scenarios **Bullish Setup:** 1. London session opens (increased volume) 2. Price sweeps sellside liquidity below Asian low 3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move) 4. Target internal buyside liquidity, then external buyside liquidity **Bearish Setup:** 1. NY session overlap with London (peak liquidity) 2. Price sweeps buyside liquidity above recent high 3. Price retraces into bearish OTE zone 4. Target internal sellside liquidity, then session lows --- ## BEST PRACTICES ### What This Indicator Does Well ✓ Identifies high-probability institutional trading zones ✓ Provides clear visual roadmap of likely price targets ✓ Reduces chart clutter with configurable history limits ✓ Works across multiple timeframes and instruments ✓ Minimizes repainting with confirmation settings ### What This Indicator Doesn't Do ✗ Does not provide entry/exit arrows (intentional - requires trader discretion) ✗ Does not guarantee winning trades (no indicator does) ✗ Does not work in isolation (combine with price action/market context) ✗ Does not replace risk management (always use stop losses) ### Recommended Complementary Analysis - Price action patterns (engulfing candles, pinbars at OTE zones) - Volume profile or footprint charts for order flow confirmation - Higher timeframe trend context (don't fade strong trends) - Economic calendar awareness (avoid major news events) --- ## TECHNICAL NOTES ### Performance Optimization - Uses max_bars_back limitation to reduce memory usage - Automatic cleanup of old zones to prevent slowdown - Efficient array management with configurable display limits - Suitable for both intraday and swing trading timeframes ### Timeframe Recommendations - **1-5 Minute:** Scalping with tight internal liquidity targets - **15-30 Minute:** Intraday trading with session-based setups - **1-4 Hour:** Swing trading with multi-session analysis - **Daily:** Position trading using weekly liquidity levels ### Instrument Compatibility Works on all liquid instruments: - Forex pairs (optimal due to clear sessions) - Stock index futures (ES, NQ, etc.) - Cryptocurrency (24/7 markets - use custom session times) - Individual stocks (less pronounced session effects) --- ## EDUCATIONAL RESOURCES To better understand the concepts used in this indicator: **Liquidity Concepts:** - Study institutional order flow and stop loss hunting - Learn about market microstructure and liquidity provision - Understand the difference between retail and institutional trading **Fibonacci/OTE:** - Research Fibonacci retracements in trending markets - Study the mathematical significance of the golden ratio (0.618) - Practice identifying retracement entries on historical charts **Session Trading:** - Analyze volume profiles during different forex sessions - Study typical price behavior during session overlaps - Understand timezone conversions for your local trading hours --- ## VERSION HISTORY & UPDATES This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations. --- ## DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness. --- ## SETTINGS SUMMARY **Master Controls:** Enable/disable each major feature independently **Repainting Controls:** Adjust confirmation requirements for signals **Trading Sessions:** Customize session times, colors, and display options **External Liquidity:** Configure detection sensitivity and visual styling **Internal Liquidity:** Adjust lookback periods and threshold sensitivity **OTE Zones:** Select which Fibonacci levels to display and entry requirements **Alerts:** Configure notifications for sessions, sweeps, and entries --- ## SUPPORT & FEEDBACK If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation. Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
Pine Script®指标
由Fx-Jithin提供
SLO Pro-J-Algo # Smart Liquidity & OTE Analysis Tool ## OVERVIEW This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements. The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior. --- ## CORE CONCEPTS & METHODOLOGY ### 1. TRADING SESSIONS ANALYSIS **What it does:** The indicator tracks three major forex trading sessions with customizable time zones: - **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action - **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity - **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity **How it works:** - Automatically highlights active sessions with colored background boxes - Draws session high/low lines which often act as intraday support/resistance - Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest - Color-codes the price bars during overlaps to alert traders to increased opportunity periods - Displays real-time session status (🟢 Open / 🔴 Closed) for quick reference **Trading Application:** Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously. --- ### 2. EXTERNAL LIQUIDITY SWEEPS **What it does:** Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected. **How it works:** - Scans the previous 20 bars (configurable) to identify swing high and low points - Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows) - Monitors price action using three detection methods: * **Wick Break:** Any candle wick extending beyond the liquidity level * **Close Break:** Candle body closing beyond the level (stronger confirmation) * **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab) - Uses an ATR-based buffer to avoid false signals from minor price spikes - Confirms sweeps only after a configurable number of confirmation bars to reduce repainting **The Logic Behind It:** Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals. **Visual Representation:** - Blue horizontal lines mark buyside liquidity zones (above price) - Gray horizontal lines mark sellside liquidity zones (below price) - Labels indicate when liquidity has been swept (✓) or remains active - Historical zones are maintained for context (configurable display limit) --- ### 3. INTERNAL LIQUIDITY DETECTION **What it does:** Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves. **How it works:** - Examines the most recent 8 bars (configurable) for price levels that occur multiple times - Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal" - Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity - Tracks both the creation and sweeping of these internal levels - Differentiates between wick breaks and close breaks for sweep confirmation **The Concept:** Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves. **Why This Matters:** Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing. **Visual Representation:** - Cyan lines mark internal buyside liquidity (equal highs) - Orange lines mark internal sellside liquidity (equal lows) - Dashed or solid lines based on user preference - Labels show when internal levels are swept --- ### 4. OPTIMAL TRADE ENTRY (OTE) ZONES **What it does:** Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break. **How it works:** - Identifies swing highs and lows using a 10-bar lookback period (configurable) - Calculates three key Fibonacci levels: * **0.618** - The "golden ratio" retracement (most significant) * **0.705** - Mid-point between 0.618 and 0.786 * **0.786** - Deep retracement level (square root of 0.618) - Optionally requires a structure break before displaying OTE zones - Dynamically extends zones as new price action develops - Tracks whether price has entered the zone (✅) or exited without filling (❌) - Displays up to 2 most recent zones (configurable) to avoid chart clutter **The Methodology:** OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios. **Combining with Liquidity:** The most powerful setups occur when: 1. External liquidity is swept 2. Price retraces into an OTE zone 3. Internal liquidity is present as a target This confluence suggests smart money activity and high-probability trade opportunities. **Visual Representation:** - Shaded blue zone between 0.618 and 0.786 levels - Three horizontal lines showing key Fibonacci levels with different colors/styles - Labels (🎯) indicate bullish or bearish OTE zones - Entry (✅) and exit (❌) status for each zone --- ## WHY THESE FEATURES WORK TOGETHER This indicator combines these four components because they represent different stages of institutional trading behavior: 1. **Session Timing** - Identifies WHEN institutional activity is highest 2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity 3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps 4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons Rather than using each concept in isolation, this integration creates a complete market structure framework. For example: - A buyside liquidity sweep during London open → - Followed by a retrace into a bullish OTE zone → - With internal sellside liquidity as the initial target This sequence represents a complete high-probability trade setup aligned with smart money principles. --- ## ANTI-REPAINTING FEATURES **The Repainting Problem:** Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy. **Our Solution:** - **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars) - **Marked Confirmation:** Labels show "C" when using confirmed signals - **Trade-off:** More confirmation = less repainting but slightly delayed signals - **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable) --- ## KEY CUSTOMIZATION OPTIONS ### Master Controls - Toggle each major feature on/off independently - Combine only the features relevant to your trading style ### Display Settings - Adjust lookback periods for each component - Control number of historical zones displayed - Customize colors, line styles, and transparency - Show/hide labels and session names - Configure text sizes for different screen setups ### Detection Sensitivity - **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces - **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals) - **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal" - **Confirmation Bars:** Balance between signal speed and reliability ### Alert System - Session open/close notifications - Liquidity sweep alerts - OTE zone entry alerts - Configurable alert frequency and types --- ## HOW TO USE THIS INDICATOR ### Basic Setup 1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday) 2. Enable the features you want to use via Master Controls 3. Adjust colors and transparency to match your chart preferences 4. Configure alert preferences if using notifications ### Trading Workflow **Step 1: Identify the Session** - Determine which trading session is active or approaching - Note session highs/lows as potential liquidity targets - Be especially alert during session overlaps **Step 2: Watch for Liquidity Sweeps** - Monitor external liquidity lines (swing highs/lows) - When price sweeps liquidity, anticipate a potential reversal - Stronger sweeps (close breaks + full retraces) are more significant **Step 3: Wait for OTE Retracement** - After a sweep, wait for price to retrace into the OTE zone (0.618-0.786) - Bullish OTE after sellside sweep = potential long - Bearish OTE after buyside sweep = potential short **Step 4: Use Internal Liquidity as Targets** - Look for internal liquidity in the direction of your trade - These serve as initial profit targets - External liquidity serves as extended targets **Step 5: Manage Confirmation Settings** - For live trading, use confirmed signals (2+ confirmation bars) - For backtesting or analysis, you may use real-time signals - Note that confirmed signals appear with "C" marking ### Example Trade Scenarios **Bullish Setup:** 1. London session opens (increased volume) 2. Price sweeps sellside liquidity below Asian low 3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move) 4. Target internal buyside liquidity, then external buyside liquidity **Bearish Setup:** 1. NY session overlap with London (peak liquidity) 2. Price sweeps buyside liquidity above recent high 3. Price retraces into bearish OTE zone 4. Target internal sellside liquidity, then session lows --- ## BEST PRACTICES ### What This Indicator Does Well ✓ Identifies high-probability institutional trading zones ✓ Provides clear visual roadmap of likely price targets ✓ Reduces chart clutter with configurable history limits ✓ Works across multiple timeframes and instruments ✓ Minimizes repainting with confirmation settings ### What This Indicator Doesn't Do ✗ Does not provide entry/exit arrows (intentional - requires trader discretion) ✗ Does not guarantee winning trades (no indicator does) ✗ Does not work in isolation (combine with price action/market context) ✗ Does not replace risk management (always use stop losses) ### Recommended Complementary Analysis - Price action patterns (engulfing candles, pinbars at OTE zones) - Volume profile or footprint charts for order flow confirmation - Higher timeframe trend context (don't fade strong trends) - Economic calendar awareness (avoid major news events) --- ## TECHNICAL NOTES ### Performance Optimization - Uses max_bars_back limitation to reduce memory usage - Automatic cleanup of old zones to prevent slowdown - Efficient array management with configurable display limits - Suitable for both intraday and swing trading timeframes ### Timeframe Recommendations - **1-5 Minute:** Scalping with tight internal liquidity targets - **15-30 Minute:** Intraday trading with session-based setups - **1-4 Hour:** Swing trading with multi-session analysis - **Daily:** Position trading using weekly liquidity levels ### Instrument Compatibility Works on all liquid instruments: - Forex pairs (optimal due to clear sessions) - Stock index futures (ES, NQ, etc.) - Cryptocurrency (24/7 markets - use custom session times) - Individual stocks (less pronounced session effects) --- ## EDUCATIONAL RESOURCES To better understand the concepts used in this indicator: **Liquidity Concepts:** - Study institutional order flow and stop loss hunting - Learn about market microstructure and liquidity provision - Understand the difference between retail and institutional trading **Fibonacci/OTE:** - Research Fibonacci retracements in trending markets - Study the mathematical significance of the golden ratio (0.618) - Practice identifying retracement entries on historical charts **Session Trading:** - Analyze volume profiles during different forex sessions - Study typical price behavior during session overlaps - Understand timezone conversions for your local trading hours --- ## VERSION HISTORY & UPDATES This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations. --- ## DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness. --- ## SETTINGS SUMMARY **Master Controls:** Enable/disable each major feature independently **Repainting Controls:** Adjust confirmation requirements for signals **Trading Sessions:** Customize session times, colors, and display options **External Liquidity:** Configure detection sensitivity and visual styling **Internal Liquidity:** Adjust lookback periods and threshold sensitivity **OTE Zones:** Select which Fibonacci levels to display and entry requirements **Alerts:** Configure notifications for sessions, sweeps, and entries --- ## SUPPORT & FEEDBACK If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation. Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
Pine Script®指标
由Fx-Jithin提供
1
52SIGNAL RECIPE Bid/Ask Intensity Monitor═══ 52SIGNAL RECIPE Bid/Ask Intensity Monitor ═══ ◆ Overview 52SIGNAL RECIPE Bid/Ask Intensity Monitor is a technical indicator that visualizes the balance of buying and selling forces in the market in real-time. Based on candle structure, this indicator calculates the relative strength of buying and selling pressure, displaying it through an intuitive color gradient gauge that allows traders to instantly grasp short-term market psychology and trading activity. ───────────────────────────────────── ◆ Key Features • Intuitive Visualization: Instantly recognize buy/sell ratios through color gradient gauges • Real-time Force Balance: Accurately display the buy/sell force ratio as a percentage in the current candle • Candle Structure Analysis: Interpret market participant behavior through relationships between high, low, and close prices • Chart Overlay: Displayed on the chart to observe changes in force balance alongside price movements • Color Psychology: Provides intuitive psychological understanding through blue series (buy) and red series (sell) colors ───────────────────────────────────── ◆ Technical Foundation ■ Buy/Sell Ratio Calculation • Basic Principle: Measure the relative strength of buyers and sellers by analyzing candle structure • Buy Ratio Calculation: (Close - Low) ÷ (High - Low) • Sell Ratio Calculation: 1 - Buy Ratio • Interpretation Logic: The closer the closing price is to the high, the stronger the buying force; the closer to the low, the stronger the selling force ■ Visualization Mechanism • Gradient Color Map: Express buy/sell intensity through 12-level color gradients • Buy Color Range: Gradual change from light sky blue (#8be2ff) to deep navy blue (#103c60) • Sell Color Range: Gradual change from light pink (#f65575) to deep burgundy (#3d101a) • Gauge Structure: Vertical table positioned in the middle right of the chart for enhanced visual focus ───────────────────────────────────── ◆ Practical Applications ■ Market Psychology Identification • Strong Buying Pressure Signals: ▶ When buy ratio is displayed as 70% or higher ▶ When the gauge is filled with bright blue shades • Strong Selling Pressure Signals: ▶ When sell ratio is displayed as 70% or higher ▶ When the gauge is filled with bright red shades • Force Balance State: ▶ When buy/sell ratio is in the 40-60% range ▶ When the color distribution in the gauge is even ■ Trading Strategy Application • Trend Confirmation Strategy: ▶ Consecutive high buy ratios (70% or more) signal uptrend confirmation ▶ Consecutive high sell ratios (70% or more) signal downtrend confirmation • Reversal Detection Strategy: ▶ Decreasing sell ratio during a downtrend suggests potential rebound ▶ Decreasing buy ratio during an uptrend suggests potential correction • Volatility Breakout Strategy: ▶ Rapid changes in buy/sell ratio from a balanced state (50%) provide breakout signals ▶ Dramatic shifts in the opposite direction after extreme ratios signal trend reversals ───────────────────────────────────── ◆ Advanced Setting Options ■ Gauge Settings • Gauge Width: Default value 15 (can be adjusted narrower or wider) • Position Adjustment: Can be positioned at various locations on the chart (default is middle right) • Border Thickness: Adjust border thickness for gauge visibility (default is 4) ■ Color Customization • Buy Gradient: Color range can be modified according to personal preference • Sell Gradient: Color range can be modified according to personal preference • Transparency Settings: Optimize chart readability by adjusting background color transparency ■ Display Frequency Settings • Update Cycle: Can be set to update every bar or at specific intervals • History Length: Set display range for historical data ───────────────────────────────────── ◆ Synergy with Other Indicators • Volume Profile: Analyze the Bid/Ask Intensity Monitor together with volume distribution to confirm buying/selling pressure at key price levels • RSI: Improve signal reliability by checking extreme values of the Bid/Ask Intensity Monitor alongside RSI's overbought/oversold levels • Moving Averages: Observe changes in the Bid/Ask Intensity Monitor when price is near key moving averages to assess support/resistance strength • Bollinger Bands: Observe the Bid/Ask Intensity Monitor's reaction at band boundaries to evaluate potential reversals or trend continuation ───────────────────────────────────── ◆ Conclusion 52SIGNAL RECIPE Bid/Ask Intensity Monitor is a powerful tool that visualizes market participants' psychology and behavior in real-time based on candle structure. Through intuitive color gradients and percentage displays, it allows for immediate understanding of the balance between buying and selling forces, greatly aiding in predicting short-term market direction and momentum. When used in conjunction with other technical indicators, it provides a comprehensive understanding of market conditions, contributing to more accurate entry and exit timing decisions. This indicator, particularly useful in scalping and short-term trading, will enhance the chart analysis capabilities of all traders. ───────────────────────────────────── ※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies. ═══ 52SIGNAL RECIPE Bid/Ask Intensity Monitor ═══ ◆ 개요 52SIGNAL RECIPE Bid/Ask Intensity Monitor는 실시간으로 시장의 매수/매도 세력 균형을 시각화하는 기술적 지표입니다. 이 지표는 캔들 구조를 기반으로 매수와 매도 압력의 상대적 강도를 계산하고, 직관적인 그라데이션 색상 게이지를 통해 표시함으로써 시장 참여자들의 단기 심리와 거래 활동을 한눈에 파악할 수 있게 합니다. ───────────────────────────────────── ◆ 주요 특징 • 직관적인 시각화: 매수/매도 비율을 색상 그라데이션 게이지로 즉각적으로 인식 • 실시간 세력 균형: 현재 봉에서의 매수/매도 세력 비율을 백분율로 정확히 표시 • 캔들 구조 기반 분석: 고가, 저가, 종가의 관계를 통해 시장 참여자 행동 해석 • 차트 오버레이: 차트 위에 표시되어 가격 움직임과 함께 세력 균형 변화 관찰 가능 • 색상 심리학 활용: 파란색 계열(매수)과 붉은색 계열(매도)로 직관적인 심리적 이해 제공 ───────────────────────────────────── ◆ 기술적 기반 ■ 매수/매도 비율 계산 • 기본 원리: 캔들의 구조를 분석하여 매수자와 매도자의 상대적 강도 측정 • 매수 비율 계산: (종가 - 저가) ÷ (고가 - 저가) • 매도 비율 계산: 1 - 매수 비율 • 해석 논리: 종가가 고가에 가까울수록 매수 세력이 강하고, 저가에 가까울수록 매도 세력이 강함 ■ 시각화 메커니즘 • 그라데이션 컬러 맵: 12단계 색상 그라데이션으로 매수/매도 강도 표현 • 매수 색상 범위: 밝은 하늘색(#8be2ff)에서 짙은 남색(#103c60)까지 점진적 변화 • 매도 색상 범위: 밝은 분홍색(#f65575)에서 짙은 적갈색(#3d101a)까지 점진적 변화 • 게이지 구조: 세로형 테이블로 우측 중앙에 배치되어 시각적 주목도 향상 ───────────────────────────────────── ◆ 실용적 응용 ■ 시장 심리 파악 • 강한 매수 압력 신호: ▶ 매수 비율이 70% 이상으로 표시될 때 ▶ 게이지가 밝은 청색 계열로 채워질 때 • 강한 매도 압력 신호: ▶ 매도 비율이 70% 이상으로 표시될 때 ▶ 게이지가 밝은 적색 계열로 채워질 때 • 세력 균형 상태: ▶ 매수/매도 비율이 40-60% 범위에 있을 때 ▶ 게이지의 색상 분포가 균등할 때 ■ 트레이딩 전략 적용 • 추세 확인 전략: ▶ 연속적인 높은 매수 비율(70% 이상)은 상승 추세 확인 신호 ▶ 연속적인 높은 매도 비율(70% 이상)은 하락 추세 확인 신호 • 반전 탐색 전략: ▶ 하락 추세 중 매도 비율 감소는 반등 가능성 시사 ▶ 상승 추세 중 매수 비율 감소는 조정 가능성 시사 • 변동성 돌파 전략: ▶ 균형 상태(50%)에서 급격한 매수/매도 비율 변화는 돌파 신호 제공 ▶ 극단적 비율 후 반대 방향으로의 급격한 변화는 추세 전환 신호 ───────────────────────────────────── ◆ 고급 설정 옵션 ■ 게이지 설정 • 게이지 너비: 기본값 15 (좁게 또는 넓게 조정 가능) • 위치 조정: 차트의 다양한 위치에 배치 가능 (우측 중앙 기본값) • 테두리 두께: 게이지 가시성을 위한 테두리 굵기 조절 (기본값 4) ■ 색상 커스터마이징 • 매수 그라데이션: 개인 선호에 따라 색상 범위 수정 가능 • 매도 그라데이션: 개인 선호에 따라 색상 범위 수정 가능 • 투명도 설정: 배경색 투명도 조절로 차트 가독성 최적화 ■ 표시 빈도 설정 • 업데이트 주기: 모든 봉마다 또는 특정 간격으로 업데이트 설정 가능 • 히스토리 길이: 과거 데이터에 대한 표시 범위 설정 ───────────────────────────────────── ◆ 다른 지표와의 시너지 • 볼륨 프로파일: Bid/Ask Intensity Monitor와 볼륨 분포를 함께 분석하여 주요 가격대의 매수/매도 압력 확인 • RSI: Bid/Ask Intensity Monitor의 극단치와 RSI의 과매수/과매도 수준을 함께 확인하여 신호 신뢰도 향상 • 이동평균선: 가격이 주요 이동평균선 근처에서 Bid/Ask Intensity Monitor 변화를 관찰하여 지지/저항 강도 판단 • 볼린저 밴드: 밴드 경계에서의 Bid/Ask Intensity Monitor 반응을 관찰하여 반전 또는 추세 지속 가능성 평가 ───────────────────────────────────── ◆ 결론 52SIGNAL RECIPE Bid/Ask Intensity Monitor는 캔들 구조를 기반으로 시장 참여자들의 심리와 행동을 실시간으로 시각화하는 강력한 도구입니다. 직관적인 색상 그라데이션과 백분율 표시를 통해 매수/매도 세력의 균형을 즉각적으로 파악할 수 있어, 시장의 단기적 방향성과 모멘텀을 예측하는 데 큰 도움이 됩니다. 다른 기술적 지표와 함께 사용하면 시장 상황에 대한 종합적인 이해를 얻을 수 있으며, 이는 더 정확한 진입 및 퇴출 타이밍을 결정하는 데 기여합니다. 특히 스캘핑과 단기 트레이딩에서 유용하게 활용될 수 있는 이 지표는 모든 트레이더의 차트 분석 능력을 한 단계 향상시켜 줄 것입니다. ───────────────────────────────────── ※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Pine Script®指标
由five2ventures提供
Multi Timeframe 8x MA Support Resistance Zones [SiDec]Multi-Timeframe Moving Average Support/Resistance Zones: The Ultimate Trading Power Tool Indicator Overview Get ready to elevate your trading game with the Multi-Timeframe Moving Average Support/Resistance Zones indicator. This advanced tool is engineered for traders who want to maximize efficiency without constantly switching between timeframes. By dynamically plotting support and resistance zones using the 21 SMA and 21 EMA, it reveals crucial price levels where trends may pause, reverse, or accelerate—giving you actionable insights in a fraction of the time. Imagine seeing all the relevant timeframe zones on one chart, without ever needing to flip between timeframes—saving you time and allowing you to focus on what really matters. Core Features Dynamic Zones That Adjust in Real-Time: The area between the 21 EMA and 21 SMA is shaded, forming a "zone" on your chart. This dynamic zone adjusts live as price moves, keeping you in sync with current market behavior across multiple timeframes. By showing these zones across all your selected timeframes, you can view everything you need at a glance—no time wasted jumping between charts. All Timeframes, One View: With the ability to view multiple timeframe zones simultaneously (from 5-minute to Monthly), this tool helps you spot key levels quickly without switching between timeframes. You’ll see how price interacts with these levels across different timeframes without ever having to change charts. Higher timeframes show broader, more significant zones—giving you the market's big picture—while intraday zones help you fine-tune your entries. Customisable Like Never Before: Toggle Timeframes: Only activate the timeframes you care about—no distractions, just pure focus. Color Your World: Assign different colors to each timeframe for instant visual cues (e.g., blue for Daily, gold for Weekly). This makes it easy to identify key zones across all timeframes at a glance. Why You Need This Tool Instant Trend Confirmation: Track how price interacts with multiple timeframe zones to confirm bullish or bearish momentum in real-time. Confluence = High Confidence: When zones from multiple timeframes overlap, you’ve found a high-probability reversal area. This is where the market is likely to turn, and where your edge lies. Efficiency at Its Best: No more switching between timeframes—everything you need is in one place, giving you more time to trade and less time spent on analysis. Configuration Instructions 1.) Timeframe Selection: Choose which timeframes to display using the Timeframe Selection panel. Intraday Focus: 5m, 15m, 1H. Swing/Long-Term Focus: 4H, 12H, Daily, Weekly, Monthly. Color Coding: Assign a distinct color to each timeframe for instant identification—like having a personal color-coded trading roadmap. 2.) MA Settings: MA Types: 21 EMA: Perfect for capturing short-term trends and fast price action. 21 SMA: The smooth operator for spotting longer-term trends with more consistency. Recommended Periods: The 21-period MA works wonders for trend detection across various timeframes. You can also integrate Fibonacci-based MAs (e.g., 55, 233) for enhanced confluence. 3.) Visual Tweaks: Opacity: Adjust the zone transparency (80-90% opacity keeps it visible yet non-intrusive). Zone Extensions: Customize how far zones extend backward and forward, capturing the full impact of support/resistance levels. Labels: Show real-time MA values and timeframe-specific details for further clarity. Trading Strategies That Pack a Punch 1.) Trend Confirmation: Uptrend: Price staying above the 21 EMA and 21 SMA suggests a bullish trend. Downtrend: Price holding below these MAs signals a bearish market. 2.) Zone-Based Reversals: Entry: Look for price to retrace to a higher timeframe support zone (e.g., Daily 21 SMA) with confirmation from oversold/overbought indicators like RSI. Exit: Time to sell when price breaks through a critical zone, like the 4H 21 EMA. 3.) Confluence Trading: Combine the zones with other indicators to amplify your trade setups: Fibonacci Levels: When a 61.8% retracement lines up with an MA zone, you’ve found a high-confluence area. Volume Profile: High-volume nodes near key zones strengthen their significance. Best Practices for Maximum Profit Focus on Higher Timeframes: Weekly and Monthly zones carry more weight, making them more significant in decision-making. Avoid Clutter: If you’re trading higher timeframes, disable intraday timeframes like 5m and 15m to keep your chart clear and focused. Risk Management: Zones are probabilities, not guarantees. Always use stop-loss orders to protect your trades. Example of a Winning Setup Scenario: Price retraces to the 1H 21 EMA zone. The Daily 21 SMA zone is nearby—talk about confluence! RSI shows oversold conditions, indicating a potential reversal. Action: Enter long on a bullish candlestick pattern (e.g., bullish engulfing). Set your stop-loss just below the Daily 21 SMA zone. Target the next higher timeframe resistance. Performance Considerations Repainting Risk: Zones might slightly adjust with the formation of new bars, but the changes will typically be minimal. Enhance with Oscillators: Use momentum indicators like MACD or Stochastic and volume analysis for even more confirmation. Conclusion The Multi-Timeframe Moving Average Support/Resistance Zones indicator isn’t just a tool—it’s a game-changer. With the ability to view all relevant timeframe zones on one chart, you can make decisions faster, spot high-confluence areas, and trade with greater precision. The time you save by not switching between timeframes can make all the difference in your trading success. Maximise your trading edge—harness the power of multi-timeframe analysis, gain more time to trade, and dominate the market like never before. 📊🔍
Pine Script®指标
由SiDec提供
9
Futures Full FS ScreenerFull FS Screener This indicator allows traders to have a view of multiple pairs and timeframes buy/sell signals and specific information of parameters, based on the Futures FS Indicator also developed by me. Futures FS Indicator Fundamentals 1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods. 2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it. 3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance. 4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend. 5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively. 6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21). 7. The trend is determined according to these parameters and their different values, which might indicate that we are in a bullish or bearish trend. The trend has a max positive (bullish) value of 6 and a max negative (bearish) value of -6. Full Screener Panel This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). Moreover, allows traders to have handy all information of the Future FS Indicator that might be analyzed further for each pair. It has the following characteristics: • It can be placed anywhere on the screen through the main menu of the indicator. • It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other. • It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up • The screener shows the pairs, which can be changed within the menus. • The screener shows the Long, Short, Strong Long and Strong Short Signals in its las column but previously, it shows the parameters that determined the possible position. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD calculated internally, are also summarized in the screener. For analyzing a specific pair, refer to the TwV Futures Indicator – FS, which is other indicator that might be on my TradingView Profile and that was used as base for the screener.
Pine Script®指标
由haimico提供
Futures Simple FS ScreenerSimple FS Screener This indicator allows traders to have a simple view of multiple pairs and timeframe buy/sell signals, based on the Futures FS Indicator also developed by me. Futures FS Indicator Fundamentals 1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods. 2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it. 3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance. 4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend. 5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively. 6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21). Simple Screener Panel This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). It has the following characteristics: It can be placed anywhere on the screen through the main menu of the indicator. It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other. It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up The screener shows the pairs (which can be changed within the menus) and as part of being the simple screener it shows the Long, Short, Strong Long and Strong Short Signals. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD are calculated internally and its data will not be shown. For viewing all parameters, refer to the Futures FS Full Screener or the TwV Futures Indicator – FS, which are other indicators that might be on my TradingView Profile
Pine Script®指标
由haimico提供
1
Promethus █ OVERVIEW HPT Master Suite is an all-in-one institutional trading toolkit combining multi-timeframe analysis, Smart Money Concepts (SMC), and volume-based detection systems. █ FEATURES MTF DASHBOARD - Real-time analysis across 9 timeframes (1M to Monthly) - MA alignment status with trend detection - RSI and squeeze monitoring - Macro data row (VIX, DXY, 10Y, OIL) - 5/20 and 9/21 cross confluence tracking SMART MONEY CONCEPTS - Volumetric Order Blocks with engagement detection - Fair Value Gaps with 50% CE line - Liquidity sweep detection - Unicorn Model (FVG + OB overlap) VOLUME ANALYSIS - Dynamic Volume Profile (POC, VAH, VAL) - High/Low Volume Nodes - Naked POC tracking - Absorption detection with strength gauge INSTITUTIONAL TOOLS - 55 SMA institutional support level - Significant wick levels - Session boxes (Asia, London, NYSE, Lunch, PM) - SMT Divergence detection SIGNALS - Buy/Sell signals with adjustable sensitivity - Golden/Death Cross alerts - OB engagement alerts █ USAGE Enable features as needed - all components are modular and can be toggled independently. Start with the dashboard and add SMC/volume tools based on your trading style. █ SETTINGS Most detection parameters use simplified controls (Low/Medium/High) for ease of use while maintaining effectiveness. █ NOTES Works best on futures (NQ, ES) and indices. Dashboard updates in real-time across all timeframes. For TradingView I am not redirecting, and or soliciting any service. If your interesting in learning more and how I trade with a 98% WR in options and above 80% in futures the links to my FREE site's are listed in my profile.
Pine Script®指标
由Smalldikenergy提供
2
EMA Forecast [QuantAlgo]🟢 Overview The EMA Forecast extends traditional Exponential Moving Average analysis by projecting potential future EMA values up to 20 bars ahead. Unlike conventional dual-EMA systems that only display historical crossovers and trend states, this indicator uses three proprietary forecasting models, each analyzing different market dimensions (structure, volume dynamics, or mathematical trend), to explore potential price paths and calculate how the fast and slow EMAs might evolve. This approach allows traders to form probabilistic expectations about future trend states, crossover timing, and momentum shifts across various asset classes and timeframes. 🟢 How It Works The indicator operates through a multi-stage calculation process that projects EMA trajectories forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each examining different market characteristics (structural patterns, volume accumulation/distribution, or linear trend progression). These projected prices then undergo a dynamic oscillation process that applies realistic volatility scaled by ATR (Average True Range), simulating natural price movement patterns rather than producing unrealistic smooth projections. Finally, the system performs iterative EMA calculations using the standard exponential formula, feeding each forecasted price sequentially through both the fast and slow EMA algorithms to generate continuous projected values while maintaining mathematical consistency with the historical EMAs. The forecasting engine recalculates projections on every bar update (or confirmed bar, based on settings), adapting to evolving market conditions through configurable lookback periods. The implementation preserves the mathematical integrity of EMA calculations while extrapolating trend trajectories, creating visual continuity between historical solid EMA lines and forecasted semi-transparent dashed lines that extend beyond the current bar. 🟢 Key Features 1. Market Structure Model This algorithm applies smart money concepts and price action analysis by identifying break of structure (BOS) and change of character (CHoCH) patterns to determine potential directional bias. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs and lower lows to establish bullish or bearish structure states. When structure is bullish and price approaches recent swing lows, the forecast projects potential moves higher scaled by ATR and trend strength. Conversely, bearish structure near swing highs projects downward bias. In neutral structure states, the algorithm reverts to mean-reversion logic, projecting toward the midpoint between recent structural extremes. ▶ Practical Implications: Explores potential EMA behavior during structural trend continuation Identifies scenarios where structure breaks might influence EMA crossovers Could be useful for swing traders and position traders who incorporate order flow and liquidity concepts The Structure Influence parameter allows blending between pure trend following and structure-weighted forecasts Helps visualize potential trend exhaustion when structure weakens or reverses May assist in anticipating false breakouts when structure contradicts price direction 2. Volume-Weighted Model This model synthesizes multiple volume-based metrics to assess potential capital flow and institutional activity. The algorithm combines On-Balance Volume (OBV) slope analysis, Accumulation/Distribution Line trajectory, volume-weighted returns, and volume spike detection above customizable thresholds. When all volume indicators align directionally (positive OBV slope, rising A/D line, positive volume momentum), the forecast projects stronger potential moves in that direction, reflecting significant accumulation or distribution. Volume spikes above the threshold trigger additional directional adjustments scaled by ATR. When volume metrics diverge from price trends, the forecast suggests potential consolidation or reversal scenarios. ▶ Practical Implications: Incorporates institutional footprint analysis into EMA trend forecasting Attempts to distinguish between price moves supported by volume versus those that may lack follow-through Could be particularly relevant in markets where volume data is reliable and significant Volume Influence parameter enables adaptation to different market microstructures and liquidity profiles Highlights potential accumulation/distribution phases that might precede major EMA crossovers May help filter low-volume price noise that creates false EMA signals Could be valuable for traders who require volume confirmation before acting on trend signals 3. Linear Regression Model This mathematical approach applies least-squares regression fitting to project simple trend trajectories based on recent price history. The algorithm calculates the best-fit line through the lookback period and extrapolates it forward using the regression equation, providing straightforward trend continuation forecasts without conditional logic or market-state dependencies. ▶ Practical Implications: Delivers reproducible forecasts based on statistical principles Performs well in established trending markets with clear directional bias Minimal parameter sensitivity (primarily controlled by lookback period length) Computationally efficient with fast recalculation suitable for multi-timeframe analysis Serves as a neutral baseline to compare against the more complex structure and volume methods Provides simpler forecasts in low-noise environments without the assumptions inherent in smart money or volume analysis 🟢 Universal Applications Across All Models Each forecasting method projects potential future EMA values (both fast and slow lines), which traders can use to: ▶ Anticipate potential crossovers: Visualize possible bullish or bearish EMA crosses several bars ahead, enabling proactive position planning rather than reactive trade execution ▶ Explore trend continuation scenarios: Assess whether current trends might maintain separation between EMAs or converge toward crossover zones ▶ Plan entry timing: Identify potential optimal entry points along the forecasted EMA trajectory, such as price pullbacks to the forecasted fast EMA in uptrends ▶ Evaluate trend strength: Monitor the distance between forecasted fast and slow EMAs as a proxy for potential momentum sustainability ▶ Develop systematic strategies: Build rules based on forecasted crossover timing, EMA slope changes, or convergence/divergence patterns ▶ Adapt to market conditions: Switch between forecasting methods based on current market character, e.g., structure method for range-bound or reversal markets, volume method for liquidity-driven moves, linear regression for clean trending environments ▶ Assess risk/reward: Use forecasted EMA levels as potential dynamic support/resistance for stop-loss placement and profit target estimation ▶ Combine with other indicators: Layer forecasted EMA crossovers with momentum oscillators, volatility bands, or volume profiles for multi-confirmation setups The indicator includes extensive customization options: adjustable EMA periods, forecast volatility control to simulate realistic or smooth price movement, realtime bar inclusion toggle, multiple color presets, optional bar coloring, crossover signal triangles, configurable transparency, and built-in alerts. As with all technical analysis tools, these forecasts represent potential scenarios based on current data and chosen methodologies. They should be integrated into a comprehensive trading plan that includes risk management, fundamental analysis, and multiple timeframe confirmation rather than used as standalone predictive signals. Market conditions can change rapidly, and no forecasting algorithm can account for unexpected news events, regime shifts, or black swan occurrences. The true benefit lies not in expecting precise forecasts but in developing a forward-thinking perspective on possible market conditions and planning your responses accordingly.
Pine Script®指标
由QuantAlgo提供
2
High Volume Nodes HVNWhat Are High Volume Nodes (HVNs)? In a volume profile or chips distribution indicator, a high volume node is a price level where a large amount of traded volume has accumulated. This means a lot of “chips” (trading activity) took place at that price. In simple terms: HVNs mark prices where buyers and sellers agreed the most, creating heavy trading congestion. Why Are HVNs Important? 1. Strong Support or Resistance Zones Because many trades occurred at an HVN, market participants often view that price as “fair value.” Price tends to slow down, pause, or reverse at HVNs. 2. Mean Reversion Behavior HVNs tend to act like magnets: If price moves far away, it often returns to HVN levels to retest them. 3. Balance Areas An HVN signals that the market spent a lot of time trading at that price, indicating consensus or balance. How to Use HVNs in Trading 1. Identify Support/Resistance HVNs often mark durable S/R levels. Price frequently retests or bounces from HVNs. 2. Detect Trading Ranges Multiple HVNs clustered together indicate balance zones or accumulation/distribution areas. 3. Target Zones When price moves away from an HVN, it often: revisits the HVN (mean reversion), or moves toward the next HVN in the profile. Settings Timeframe (Slices) (Lookback) (Label %) Daily (50) (80-250) (0.60) Weekly (40) (180) (0.65) Monthly (30) (120) (0.70) Quarterly (25) (70) (0.75) No financial advice, no buy/sell recommendation. Only for educational purposes
Pine Script®指标
由Gartav388637提供
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry Overview The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time. The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean. Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust. Theoretical Foundation The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence. At its core are three interacting components: Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility. Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure. Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases. By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion. How It Works The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics: Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates. Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds. Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal. Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur. Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field. Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm. Interpretation The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull. Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion. Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries. Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion. Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset. Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points. Strategy Integration The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems: Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups. Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium. Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases. Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning. Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context. Technical Implementation Details Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration. Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion. Directional Logic : EMA-slope driven bias for adaptive mean tilt. Channel Composition : Independent upper and lower envelopes with smoothing and transparency control. Signal Structure : Alerts for mean crossovers and boundary breaches. Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness. Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis. 15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure. 4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones. Suggested Configuration: Mean Length : 20 - 50 Volatility Multiplier : 1.5× - 2.5× Reversion Sensitivity : 0.4 - 0.8 Smoothing : 2 - 5 Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency. Performance Characteristics High Effectiveness: Trending environments with cyclical pullbacks and volatility oscillation. Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto). Reduced Effectiveness: Low-volatility consolidations with minimal variance. Random walk markets lacking definable equilibrium anchors. Integration Guidelines Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation. Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes. Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management. Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels. Disclaimer The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Pine Script®指标
由BOSWaves提供
2
Liquidity Heatmap Concepts [sma] Overview Liquidity Heatmap Concepts is a sophisticated visualization tool that maps potential liquidation zones for leveraged positions across multiple timeframes. It calculates and displays where high-volume liquidations might occur at various leverage levels (25x, 50x, 100x, 150x), helping traders identify potential support/resistance zones created by cascading liquidations. Additionally, it includes a quarterly volume profile to show historical price distribution and Point of Control levels. ### Volume-Based Trigger System Lines are only drawn when volume exceeds a threshold: 1. Calculates 14-period simple moving average of volume 2. Applies configurable multiplier (default 1.2x) to determine significance 3. Only plots liquidation levels when current volume > (Volume SMA × Multiplier) 4. This filters out low-volume noise and focuses on meaningful zones ### Visual Intensity System The indicator uses a gradient coloring system based on relative volume: - **Peak Volume (White)**: When current bar has maximum volume in the dataset - Line width: 3 pixels - Brightest color intensity - **Above Average Volume**: Volume exceeds average but isn't peak - Line width: 2 pixels - Medium color intensity - **Standard Volume**: Exceeds threshold but below average - Line width: 1 pixel - Base color intensity ### Line Extension & Management - Lines extend horizontally to the right until price crosses them - Automatic cleanup removes lines after maximum count (default 500) - Lines persist until invalidated by price action crossing the level - Oldest lines are removed first when limit is reached ### Quarterly Volume Profile An optional fixed-range volume profile that: 1. **Automatic Quarter Detection**: Identifies Q1 (Jan-Mar), Q2 (Apr-Jun), Q3 (Jul-Sep), Q4 (Oct-Dec) 2. **Price Distribution Analysis**: Divides the quarter's price range into configurable rows (default 20) 3. **Volume Aggregation**: Accumulates volume at each price level throughout the quarter 4. **POC Identification**: Highlights the price level with highest volume (Point of Control) 5. **Value Area**: Shows the price range containing 70% (configurable) of total volume 6. **Profile Drawing**: At the start of each new quarter, draws the previous quarter's profile as horizontal bars The volume profile can be positioned on either left or right side of the quarter range with adjustable width. ## Key Features - **Multi-Leverage Display**: Toggle between 25x, 50x, 100x, and 150x leverage levels independently - **Dual Side Tracking**: Separate visualization for long and short liquidation zones - **Volume-Weighted Importance**: Visual intensity correlates with volume significance - **Gradient Coloring**: Color intensity reflects relative volume magnitude - **Smart Line Management**: Automatic cleanup prevents chart clutter - **Historical Context**: Quarterly volume profile shows where price spent most time - **Fully Customizable**: All colors, thresholds, and display options are adjustable - **HD Mode**: Uses absolute volume for more precise visualization ## Parameters ### Leverage Selection - **25x, 50x, 100x, 150x Toggles**: Enable/disable specific leverage levels - Each level can be controlled independently ### Volume Configuration - **Minimum Volume Multiplier** (default 1.2): Threshold above volume SMA to trigger lines - Higher values = fewer but more significant levels - Lower values = more levels but increased noise ### Advanced Settings - **Maximum Lines** (default 500, range 50-500): Memory management limit - Controls how many historical liquidation lines are maintained ### Quarterly Volume Profile - **Show Previous Q Volume Profile** (default on): Toggle profile visibility - **Number of Rows** (default 20, range 10-50): Price distribution granularity - **Profile Width** (default 30%): Visual width as percentage of quarter range - **Value Area** (default 70%): Percentage of volume for value area calculation - **Position** (Left/Right): Profile placement relative to quarter - **Show Values** (default off): Display POC volume label - **Colors**: Customizable base and POC colors ### Color Customization - **Long Colors**: Individual colors for each leverage level (25x, 50x, 100x, 150x) - **Short Colors**: Separate color scheme for short liquidation zones - **VP Colors**: Base color and POC highlight color for volume profile ## Interpretation ### Liquidation Clusters - **Dense Line Areas**: Multiple overlapping liquidation levels suggest strong magnetic zones - **High-Volume Lines**: Brighter/thicker lines indicate more significant potential liquidations - **Line Breaks**: Price crossing multiple liquidation lines may trigger cascade effects ### Trading Applications - **Support/Resistance**: Liquidation clusters often act as temporary support/resistance - **Stop Hunt Zones**: Areas where price may spike to trigger liquidations before reversing - **Momentum Acceleration**: Breaking through dense clusters can indicate strong directional moves - **Risk Management**: Avoid placing stops directly at obvious liquidation levels ### Volume Profile Usage - **POC (Point of Control)**: Price level with highest volume - often acts as strong support/resistance - **Value Area**: Where most trading activity occurred - indicates fair value range - **Profile Shape**: - Balanced profile (bell curve) = ranging market - Skewed profile = trending market with acceptance at extremes - **Profile Gaps**: Low volume areas suggest price may move quickly through these zones ### Combined Analysis - Liquidation lines near quarterly POC create extra-strong zones - Price returning to value area from outside often finds support/resistance - Liquidation clusters at value area edges suggest potential reversal points ## Technical Implementation This indicator features: - **Custom Type Structures**: Uses type definitions for organized data storage - `BarData`: Stores OHLCV and index information - `LiquidityBin`: Manages arrays of line objects for each leverage level - `VolumeProfileData`: Handles profile boxes, labels, and range data - **Dynamic Line Objects**: Creates, updates, and deletes line primitives programmatically - **Array-Based History**: Maintains volume history for gradient calculations - **Intelligent Cleanup**: Automatic memory management prevents performance degradation - **Mathematical Precision**: Leverage-based liquidation formulas ensure accurate price levels - **Quarterly Aggregation**: Efficient volume accumulation with automatic period detection - **Box Drawing System**: Dynamic profile visualization using box primitives ## Originality Statement This indicator presents a unique approach to liquidity visualization: - Implements leverage-specific liquidation price calculations based on mathematical formulas - Uses volume-weighted gradient coloring system that adapts to relative volume significance - Combines real-time liquidation mapping with historical volume profile analysis - Features intelligent line lifecycle management with automatic extension and cleanup - Integrates quarterly volume profile with configurable value area and POC detection - Employs multi-layer visual hierarchy (line width + color intensity) for information density - Uses custom data structures to efficiently manage hundreds of line objects simultaneously The combination of mathematical liquidation pricing, volume-based filtering, gradient visualization, and quarterly volume distribution creates a comprehensive liquidity analysis tool. ## Best Practices - Use on liquid markets (major cryptocurrencies, forex pairs) for best accuracy - Lower timeframes (1m-15m) for day trading and scalping - Higher timeframes (1h-4h) for swing trading context - Combine with volume profile to identify high-probability reversal zones - Watch for price reactions when approaching dense liquidation clusters - Increase volume multiplier in choppy markets to reduce noise - Reduce maximum lines on lower timeframes to maintain performance - Use quarterly volume profile to understand longer-term fair value ## Important Notes - Liquidation prices are estimates based on leverage ratios - Actual exchange liquidation prices may vary due to: - Maintenance margin requirements - Mark price vs last price calculations - Individual exchange liquidation engines - Insurance fund mechanisms - This tool shows potential zones, not guaranteed liquidation prices - Volume profile resets each quarter automatically --- Works on all timeframes and asset classes. Designed for crypto/forex leverage markets. For educational purposes only. Not financial advice.
Pine Script®指标
由sma55200提供
Adaptive Range Scalper - KetBotAIThe Adaptive Scalper is designed to dynamically adjust entry, take-profit (TP), and stop-loss (SL) levels based on the latest market price. It combines multiple tools to provide traders with actionable insights, suitable for a range of trading styles and timeframes. How the Indicator Works Dynamic Levels: - Yellow Dotted Line: Represents the entry level, following the latest price dynamically. - Green Line: The Take Profit (TP) level, calculated as a multiple of the current price, adapts in real-time. - Red Line: The Stop Loss (SL) level, placed below the price and also dynamically adjusts. Bollinger Bands: Provides context for market volatility and potential overbought/oversold zones. Narrowing bands signal consolidation, while expanding bands indicate increased volatility. Buy and Sell Signals: Buy Signal: Triggered when the price crosses above the lower Bollinger Band. Sell Signal: Triggered when the price crosses below the upper Bollinger Band. These signals help traders time entries and exits based on momentum shifts. Risk/Reward Analysis: Visual shading shows the favorable risk/reward zone between the stop loss and take profit levels. Timeframe Suggestions Short-Term Traders (Scalping): Use on 5-minute to 15-minute charts. Focus on high-volatility periods for quick entries and exits. Intraday Traders: Ideal for 30-minute to 1-hour charts. Provides more stable signals and less noise. Swing Traders: Best suited for 4-hour or daily charts. Captures broader trends with fewer signals, allowing for larger moves. Tool Combination Volume Profile: Combine with volume-based tools to confirm key support/resistance zones around TP and SL levels. Trend Indicators: Use with Moving Averages (e.g., 20-period or 50-period) to identify the broader trend direction. Example: Only take buy signals in an uptrend and sell signals in a downtrend. Momentum Oscillators: Pair with tools like RSI or MACD to avoid entering overbought/oversold conditions. Support/Resistance Lines: Manually mark significant levels to confirm alignment with the indicator’s TP and SL zones. Useful Advice for Traders Risk Management: - Always assess the risk/reward ratio; aim for at least 1:2 (risking 1 to gain 2). - Adjust the multiplier to match your trading style (e.g., higher multiplier for swing trades, lower for scalping). Avoid Overtrading: Use the indicator in conjunction with clear rules to avoid false signals during low-volatility periods. Monitor market volatility: Pay attention to narrowing Bollinger Bands, which signal consolidations. Avoid trading until a breakout occurs. Test on Demo Accounts: Practice using the indicator on a demo account to understand its behavior across different assets and timeframes. Focus on High-Liquidity Markets: For the best results, trade highly liquid instruments like major currency pairs, gold, or stock indices. Summary The Adaptive Range Indicator dynamically adjusts to market conditions, offering clear entry and exit levels. By combining it with Bollinger Bands and other tools, traders can better navigate market trends and avoid noise. It’s versatile across multiple timeframes and assets, making it a valuable addition to any trader’s toolkit.
Pine Script®指标
由KetBotAI提供
Normal Distribution CurveThis Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any TradingView indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization of the distribution of values within a specific dataset. With the only inputs being the variable source and plot colour, I think this is by far the simplest and most intuitive iteration of any statistical analysis based indicator I've seen here! Traders can quickly assess how data clusters around the mean in a bell curve and easily see the percentile frequency of the data; or perhaps with both and upper and lower peaks identify likely periods of upcoming volatility or mean reversion. Facilitating the identification of outliers was my main purpose when creating this tool, I believed fixed values for upper/lower bounds within most indicators are too static and do not dynamically fit the vastly different movements of all assets and timeframes - and being able to easily understand the spread of information simplifies the process of identifying key regions to take action. The curve's tails, representing the extreme percentiles, can help identify outliers and potential areas of price reversal or trend acceleration. For example using the RSI which typically has static levels of 70 and 30, which will be breached considerably more on a less liquid or more volatile asset and therefore reduce the actionable effectiveness of the indicator, likewise for an asset with little to no directional volatility failing to ever reach this overbought/oversold areas. It makes considerably more sense to look for the top/bottom 5% or 10% levels of outlying data which are automatically calculated with this indicator, and may be a noticeable distance from the 70 and 30 values, as regions to be observing for your investing. This normal distribution curve employs percentile linear interpolation to calculate the distribution. This interpolation technique considers the nearest data points and calculates the price values between them. This process ensures a smooth curve that accurately represents the probability distribution, even for percentiles not directly present in the original dataset; and applicable to any asset regardless of timeframe. The lookback period is set to a value of 5000 which should ensure ample data is taken into calculation and consideration without surpassing any TradingView constraints and limitations, for datasets smaller than this the indicator will adjust the length to just include all data. The labels providing the percentile and average levels can also be removed in the style tab if preferred. Additionally, as an unplanned benefit is its applicability to the underlying price data as well as any derived indicators. Turning it into something comparable to a volume profile indicator but based on the time an assets price was within a specific range as opposed to the volume. This can therefore be used as a tool for identifying potential support and resistance zones, as well as areas that mark market inefficiencies as price rapidly accelerated through. This may then give a cleaner outlook as it eliminates the potential drawbacks of volume based profiles that maybe don't collate all exchange data or are misrepresented due to large unforeseen increases/decreases underlying capital inflows/outflows. Thanks to @ALifeToMake, @Bjorgum, vgladkov on stackoverflow (and possibly some chatGPT!) for all the assistance in bringing this indicator to life. I really hope every user can find some use from this and help bring a unique and data driven perspective to their decision making. And make sure to please share any original implementaions of this tool too! If you've managed to apply this to the average price change once you've entered your position to better manage your trade management, or maybe overlaying on an implied volatility indicator to identify potential options arbitrage opportunities; let me know! And of course if anyone has any issues, questions, queries or requests please feel free to reach out! Thanks and enjoy.
Pine Script®指标
由BlockchainSpecialists提供
5
Pin Candle DetectionPin candles are a variation of hammer candles that are useful in technical analysis . In particular, when combined with volume profile studies, they can be a powerful set up for long entries or other decision making. For example, when looking at volume profiles, a long entry would be a fair value area (i.e. 40%) below the close of a pin candle. When combined with a support level , the set up is stronger. While most scripts look for hammer candles, pin candles are somewhat different in that the length of the wick is significant. This script and its parameters was built for ES futures 15 min chart in mind. This script is unique in that it allows for the below parameters to be adjusted to suit other instruments and timeframes: 1. Fib level: Candle must close within a certain retracement level). My preference is 0.55. Some traders like 0.5, while others prefer 0.33 2. Wick length: Pin candles differ from pure hammers in that the length of the wick must be significant. My preference is 7 points on ES (as in $ and not ticks) Add this script to your alerts to no longer miss these set ups.
Pine Script®指标
由xfuturesgod提供
Bar Bodies [vnhilton]Note: Go to "Chart Settings" & hide "Body" & "Borders". Also uncheck "Labels on price scale" & "Values in status line" as they're not needed. This script plots candlestick bodies with the same thickness as the wicks (similar to the bar chart, but without the horizontal lines to represent the open & close). To do this, it plots an invisible candlestick body with an invisible candlestick border from the high to the close/open for a green/red candle respectively, & uses the low wick as the candlestick body itself by plotting it from the low price to the open/close for a green/red candle respectively. My personal use for this script is to use it in conjunction with TradingView's Periodic Volume Profile, in order to still see OHLC data without obstructing the candlesticks' volume profiles, as seen in the chart snapshot image above.
Pine Script®指标
由vnhilton提供
VPQ - Momen Medhat📊 VPQ Oscillator - Proprietary Volume Profile Intelligence Advanced Volume Analysis Through Proprietary Mathematical Modeling 🎯 Why VPQ Is Different From Standard Volume Profile Tools The VPQ Oscillator is not a standard Volume Profile indicator. While many indicators display volume histograms or basic POC/VAH/VAL levels, VPQ employs a proprietary mathematical framework to transform raw volume distribution data into actionable intelligence. 🔬 Core Innovations That Justify Premium Access: 1. Proprietary Volume Location Score (VLS) Algorithm VPQ uses an original mathematical model that calculates precise price positioning relative to volume-weighted fair value. This is not a simple "above/below POC" calculation - it's a multi-factor equation that considers: Non-linear distance weighting from Value Area boundaries Gradient-based positioning within Value Area zones Dynamic scaling based on range volatility Proprietary normalization to maintain consistency across all market conditions 2. Adaptive Node Intelligence System Unlike static Volume Profile displays, VPQ features a real-time node classification engine that: Identifies High Volume Nodes (HVN) vs Low Volume Nodes (LVN) using advanced percentile analysis Applies proprietary dampening coefficients (0.6x) at HVN zones to signal mean-reversion probability Applies proprietary amplification factors (1.4x) at LVN zones to signal breakout probability Dynamically recalculates these weightings on every bar based on current volume distribution 3. Multi-Dimensional Volume Distribution Engine VPQ processes volume data through a custom binning algorithm that: Distributes volume across price levels using proportional overlap calculations (not available in standard Volume Profile) Handles intra-bar volume allocation with precision weighting Maintains computational efficiency for real-time analysis Scales seamlessly across any timeframe or instrument 4. Cross-Timeframe Volume Integration Proprietary logic seamlessly merges higher timeframe institutional volume analysis into current timeframe decision-making, solving the common problem of Volume Profile desynchronization across timeframes. 5. Oscillator Normalization Technology Original mathematical transformation that converts complex Volume Profile data into a normalized -100 to +100 scale while preserving volume distribution nuances and maintaining signal integrity across all market conditions. 💡 What You Get That Free Indicators Don't Provide ❌ Standard Volume Profile Indicators: Static histogram displays that clutter charts Basic POC/VAH/VAL lines without context No signal weighting or node intelligence Manual interpretation required Single timeframe limitation No actionable scoring system ✅ VPQ Oscillator: Clean oscillator format - No chart clutter, instant visual clarity Intelligent scoring - Single number tells you exactly where price stands Adaptive weighting - Automatically adjusts for mean-reversion vs breakout scenarios Multi-timeframe ready - Analyze institutional volume from any timeframe Actionable thresholds - Built-in buy/sell zones with alert capabilities Proprietary algorithms - Mathematical models not found in public domain 📈 Professional Trading Applications Mean Reversion Trading VPQ's proprietary HVN detection and dampening algorithm identifies high-probability reversal zones with precision. When VPQ reaches extremes (±70) at HVN areas, the adaptive weighting signals optimal mean-reversion entries. Breakout Trading The LVN amplification system highlights low-volume breakout zones where momentum is likely to accelerate. VPQ automatically increases signal strength at these critical levels. Value-Based Position Management Know instantly if you're entering at a discount or premium. VPQ's proprietary scoring eliminates guesswork - positive readings confirm discount entries, negative readings confirm premium exits. Multi-Timeframe Analysis VPQ's cross-timeframe integration allows you to maintain institutional perspective (4H, Daily) while executing on shorter timeframes (5m, 15m) - a capability requiring complex manual analysis with standard Volume Profile tools. Divergence Detection VPQ's oscillator format makes it easy to spot divergences between price and volume distribution - a powerful reversal signal invisible in traditional Volume Profile displays. ⚙️ Professional-Grade Configuration Volume Profile Engine: Timeframe selection for institutional volume perspective Adjustable lookback period (20-2000 bars) Configurable bin count for precision control Value Area percentage customization HVN/LVN threshold optimization Display Intelligence: Zone-based color coding (automatic or manual) Background zone highlighting Customizable reference lines Professional info label with live metrics Alert System: Zero-cross alerts (entering discount/premium zones) Threshold alerts (deep discount/premium signals) Extreme level alerts (±50 zones) Fully customizable notification settings 🎓 Understanding the VPQ Scale +100 to +50: Extreme Discount - Price significantly below volume-weighted fair value +50 to 0: Discount Zone - Price below fair value, favors long positions 0: Fair Value Equilibrium - Price at Point of Control 0 to -50: Premium Zone - Price above fair value, favors short positions -50 to -100: Extreme Premium - Price significantly above volume-weighted fair value Zone Indicators: HVN: High Volume Node detected - Expect mean reversion behavior LVN: Low Volume Node detected - Expect breakout/continuation behavior VA: Value Area - Normal trading range behavior 💼 Why Professional Traders Choose VPQ Institutional-Grade Analysis VPQ processes volume data using the same concepts institutional traders use to identify fair value, but packages it in an accessible, real-time format. Time Efficiency What would take minutes of manual Volume Profile analysis happens instantly with VPQ. The proprietary scoring system eliminates interpretation ambiguity. Edge Preservation The adaptive node weighting system provides an analytical edge not available in standard Volume Profile tools - knowing when to fade extremes (HVN) vs trade breakouts (LVN). Clean Workflow No chart clutter, no complex histogram interpretation, no manual calculations. Just one clean oscillator that tells you everything you need to know about volume-based fair value. Versatile Integration Works with any trading style - scalping, day trading, swing trading. Combines seamlessly with technical analysis, price action, or systematic strategies. 🔧 Technical Specifications Code Base: 100% original Pine Script v6 implementation Calculation Method: Proprietary multi-stage algorithm with adaptive weighting Update Frequency: Real-time with every new bar Performance: Optimized for institutional-grade analysis (5000+ bars) Compatibility: Works on all instruments and timeframes 📊 Recommended Workflow Set VPQ timeframe to 30min-4H for institutional volume context Identify current zone (discount/premium) and type (HVN/LVN/VA) Wait for extreme readings (±50) for best risk/reward Combine with your preferred confirmation method Use built-in alerts to catch key threshold crosses Adjust position sizing based on VPQ zone strength 🔐 Access and Support This is an invite-only indicator featuring proprietary algorithms developed through extensive research and testing. Access is granted to serious traders who understand the value of advanced volume analysis tools. What's Included: Full access to VPQ Oscillator with all features Regular updates and improvements Optimized performance for real-time trading Professional-grade volume analysis unavailable elsewhere ⚠️ Risk Disclosure This indicator is a professional trading tool and requires proper understanding of volume analysis concepts. It should be used as part of a complete trading plan with appropriate risk management. Past performance does not guarantee future results. Trading involves substantial risk of loss. 📝 Version Information Current Version: 1.0 (February 2026) Pine Script: v6 Developer: Momen Medhat License: Proprietary (Invite-Only)
Pine Script®指标
由Momen_Medhat_Official提供