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Volume Profile█ VOLUME PROFILE Volume-at-Price Analysis with POC, VAH & VAL A powerful volume-at-price analysis overlay that calculates and visualizes the Point of Control (POC) , Value Area High (VAH) , and Value Area Low (VAL) directly on your chart. It reveals where the most trading activity occurred and provides real-time price position analysis — helping you identify high-probability support/resistance levels and mean-reversion zones. Free and Open Source. █ THE CONCEPT: WHY VOLUME PROFILE MATTERS Price charts show when trading happened. Volume Profile shows where it happened. The distribution of volume across price levels reveals the market's true valuation zones: Point of Control (POC) — The price with the highest accumulated volume. Acts as a magnet for price and the strongest single S/R level. Value Area (70%) — The range containing 70% of all traded volume. Defines what the market considers "fair value." Above/Below VA — Price outside the value area signals potential overextension or breakout. Institutional traders, market makers, and algorithmic systems all reference volume profile levels. █ CORE FEATURES 1. Volume Profile Engine Distributes each bar's volume proportionally across the price rows it spans, building a precise volume-at-price histogram: POC — Highest volume row = strongest support/resistance VAH — Upper boundary of the 70% value area = resistance VAL — Lower boundary of the 70% value area = support Row count is configurable (10-50 levels). 2. Profile Anchoring Three anchor modes control how the profile is built: Rolling — Continuously recalculated over the last N bars. Best for real-time analysis. Session — Resets every new trading day. Best for intraday context. Week — Resets every new trading week. Best for swing context. 3. Price Position Analysis Real-time classification of price relative to the value area: ABOVE VA — Potential overextension or breakout BELOW VA — Potential undervaluation or breakdown AT POC — High-probability mean-reversion zone IN VA — Normal trading range 4. Bounce & Rejection Signals Automatic detection of price interaction with key volume levels: POC Bounce Up/Down — Price touches POC and reverses VAL Rejection — Price tests VAL and bounces up (bullish) VAH Rejection — Price tests VAH and bounces down (bearish) 5. Volume Histogram Visualization A horizontal bar chart displayed directly on the price chart showing the volume distribution. POC row highlighted with a distinct color. █ AUTO-TIMEFRAME ADAPTATION All parameters automatically adjust based on the chart timeframe: 1-5 min → Lookback 30, 18 Rows, Histogram Width 8 15-30 min → Lookback 40, 20 Rows, Histogram Width 10 1 Hour → Lookback 50, 24 Rows, Histogram Width 15 4 Hour → Lookback 70, 28 Rows, Histogram Width 18 Daily → Lookback 100, 32 Rows, Histogram Width 22 Weekly+ → Lookback 150, 40 Rows, Histogram Width 30 █ DASHBOARD A compact, dark-themed info panel displaying: POC — Current Point of Control price level VAH / VAL — Value Area boundaries Position — Current price position (ABOVE VA / BELOW VA / AT POC / IN VA) To POC — Distance from current price to POC in percent Anchor — Active profile anchor mode VA Range — Width of the value area in price units █ ALERTS (4 CONDITIONS) POC Bounce Up — Bullish bounce off the Point of Control POC Bounce Down — Bearish bounce off the Point of Control VAL Rejection — Bullish rejection at Value Area Low VAH Rejection — Bearish rejection at Value Area High █ NON-REPAINTING The volume profile is calculated from confirmed bar data only. Rolling mode recalculates the full lookback window on each bar using historical high/low/volume — no future data is used. Session and Week modes accumulate incrementally within the anchor period. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
อินดิเคเตอร์ Pine Script®
โดย alphachart_tv
AG Pro MACD Drift Filter [AGPro Series]AG Pro MACD Drift Filter Overview AG Pro MACD Drift Filter is a rules-based momentum quality indicator built around MACD structure, persistence, and decay behavior. The script is not designed to treat every MACD expansion, crossover, or positive histogram print as equally meaningful. Its purpose is to help users evaluate whether current momentum is sustaining cleanly, weakening internally, or drifting into lower-quality continuation. In many charts, the difficult part is not detecting that momentum exists. The difficult part is deciding whether that momentum is stable enough to respect, fragile enough to fade, or already starting to lose transmission quality before price fully reflects the slowdown. This indicator is built for that specific problem. Rather than framing MACD as a simple signal engine, AG Pro MACD Drift Filter uses a structured state model to organize momentum into practical categories such as bullish drift, bearish drift, neutral or unstable conditions, and decay-prone phases. The output is intended to improve chart interpretation, not to replace broader market context. What the script does The script studies the relationship between the MACD line, the signal line, the histogram, and zero-line behavior in order to classify the current momentum environment. Its main objective is to answer questions such as: - Is current momentum expanding with acceptable continuity? - Is the histogram improving in a way that supports follow-through, or only producing a temporary burst? - Is MACD maintaining stable directional structure, or repeatedly slipping back toward unstable conditions? - Is separation between MACD and signal line supporting continuation, or beginning to compress? - Is the current move still carrying directional quality, or transitioning into decay? The result is a compact momentum-quality framework that can be used as a continuation filter, a caution filter, or a chart-organization layer. Why this script is different This script is not presented as a generic MACD crossover tool. Its focus is not on counting crosses or highlighting every histogram color shift. Instead, it is built around the idea that momentum quality matters more than raw momentum presence. A move can remain above zero and still lose internal quality. A histogram can expand and still produce weak follow-through. A crossover can occur inside unstable conditions and carry less analytical value than its appearance suggests. AG Pro MACD Drift Filter attempts to separate those cases by combining several dimensions of MACD behavior into a rules-based drift model. In practical terms, the script attempts to distinguish between: - sustained directional drift - fragile continuation - internal weakening - contraction and decay risk - unstable zero-line behavior This makes it more suitable as a momentum filter than as a standalone trigger engine. Core methodology The model evaluates momentum quality through multiple components rather than a single event. 1) Expansion quality The script evaluates whether histogram magnitude is expanding with enough consistency to support the idea of directional development. A simple increase in histogram size is not treated as sufficient on its own. The model also looks at whether that expansion is steady enough to qualify as usable drift. 2) Zero-line persistence Momentum states near the zero line can be more fragile and more prone to whipsaw. For that reason, the script evaluates whether MACD is maintaining enough distance and persistence relative to the zero area, or whether it is repeatedly slipping back toward instability. 3) Signal-line separation quality The distance between MACD and signal line is part of the script's continuation logic. Expanding separation can support the case for cleaner momentum conditions, while compressing separation can indicate that the move is losing internal pressure even if price has not fully reacted yet. 4) Continuity The script tracks whether directional alignment is being maintained across bars. The goal is to reduce the analytical weight of fragmented or inconsistent momentum states and give more weight to cleaner persistence. 5) Decay pressure The model also monitors conditions that can reduce the quality of current drift. Compression, weakening histogram behavior, increased instability, and loss of directional efficiency contribute to decay risk. These components are combined into a structured quality score and a state engine. Main outputs State The State row summarizes the current momentum regime. Depending on conditions, the script can classify the environment as bullish drift, bearish drift, neutral or unstable, or other transition states derived from the internal logic. Quality The Quality value summarizes the current momentum-quality condition on a 0 to 100 scale. It is not intended as a standalone trade score. It is a compact way to express whether the underlying drift structure is currently weak, fragile, usable, or stronger relative to the script's framework. Persistence Persistence reflects whether directional conditions are being maintained with enough stability to be respected. This value is particularly useful when users want to distinguish between brief impulses and cleaner continuation behavior. Decay Risk Decay Risk estimates whether the move is beginning to lose quality internally. Higher decay risk does not automatically imply reversal. It means the current directional structure is carrying less internal efficiency and may deserve more caution. Zero-Line This field summarizes whether MACD is operating above zero, below zero, or in a more unstable zone. It is included because zero-line persistence often changes the interpretive quality of otherwise similar MACD readings. Separation This row describes whether MACD and signal line are expanding apart, remaining relatively stable, or compressing. It can help users identify whether momentum is gaining transmission strength or narrowing. Phase The script groups behavior into broad phases such as expansion, plateau, or contraction. This helps users interpret whether the current environment is still developing or beginning to cool. Bias Bias is not a buy or sell instruction. It is a compact interpretation layer that summarizes whether the current structure is more consistent with continuation, caution, or weaker follow-through. Mode The script includes a mode framework so users can run the tool with a more balanced or more selective posture, depending on how strict they want the state engine to be. How to read the indicator One practical way to use the script is to treat it as a continuation-quality filter. For example, a bullish chart condition may look more structurally convincing when: - the state remains in a bullish drift condition - the quality score is improving or holding at healthier levels - persistence remains stable - separation is not compressing aggressively - decay risk is contained On the other hand, users may choose to become more cautious when: - price still appears constructive, but quality is fading - separation compresses while continuation expectations remain elevated - the state returns to neutral or unstable conditions - decay risk rises without meaningful renewal in quality - the move remains active on price, but internal MACD structure begins to deteriorate This script can also be used alongside support and resistance analysis, broader trend context, structural breaks, pullback logic, or other risk-management frameworks. Alerts The script includes alert conditions tied to meaningful state changes rather than arbitrary noise. Examples include: - Bullish Drift Confirmed - Bearish Drift Confirmed - Bullish Drift Weakening - Bearish Drift Weakening - Momentum Decay Warning - Neutral Reset - High-Quality Drift Detected - Low-Quality Expansion Detected These alerts are intended to help users monitor changes in momentum quality, not to function as guaranteed trading signals. Key inputs Core settings include the source series and standard MACD lengths. Engine settings allow users to control the quality lookback, persistence window, decay sensitivity, instability penalty, zero-line stability filtering, and strictness. Display settings manage panel visibility, panel position, theme handling, label size, label density, and optional visual styling. Because different symbols and timeframes can produce different rhythm characteristics, users may want to experiment with persistence and sensitivity settings rather than assuming one configuration fits all market conditions. Suggested interpretation The strongest use case for this tool is not signal substitution, but signal qualification. In other words, many users may find it more useful to ask: "Does this move deserve continuation bias?" instead of asking: "Did MACD cross?" That distinction is central to the script. The script does not assume that every positive histogram bar is actionable. It does not assume that every crossover deserves equal analytical weight. It attempts to organize momentum conditions into a more structured framework so users can better judge whether current directional pressure is persistent, fragile, or fading. Limitations and transparency This indicator does not predict future price movement. It does not guarantee continuation, reversal, breakout success, or trade performance. It does not replace broader chart context, volatility analysis, liquidity considerations, or risk management. Like other momentum-based tools, it can still produce less useful readings in highly choppy environments, low-volatility compression regimes, or sudden event-driven price conditions. Users should interpret the output in context and validate whether the script's settings fit the instrument and timeframe they are studying. The state engine is designed to organize information, not to remove uncertainty from market behavior. Risk disclosure This script is for educational and analytical use. It should not be treated as financial advice, investment advice, or a promise of outcome. Users remain responsible for their own decision-making, trade planning, and risk control.
อินดิเคเตอร์ Pine Script®
โดย AGProLabs
5
Momentum Pressure Gauge [JOAT] Momentum Pressure Gauge Introduction The Momentum Pressure Gauge is an advanced institutional-grade analysis tool designed to measure the underlying buying and selling pressure that drives market movements. This indicator goes beyond simple momentum oscillators by quantifying the actual pressure differential between buyers and sellers, incorporating volume analysis, detecting divergences, and identifying when momentum is reaching extreme levels. Understanding pressure and momentum is crucial because price often follows pressure - by measuring the force behind price movements, traders can anticipate future direction with greater confidence. This tool is built for traders who understand that markets are driven by the constant battle between buyers and sellers, and that the outcome of this battle is reflected in pressure and momentum patterns. Whether you're a day trader timing entries with precision, a swing trader identifying trend strength, or a position trader spotting major reversals, this gauge provides the sophisticated pressure analysis needed to trade with the dominant force rather than against it. Why This Indicator Exists Most traders use basic momentum indicators without understanding the underlying pressure dynamics or volume participation. This indicator addresses that limitation by: Pressure Analysis: Measures actual buying/selling pressure in each bar Volume Weighting: Incorporates volume to confirm pressure significance Momentum Scoring: Provides composite momentum scores with multiple factors Divergence Detection: Identifies price/momentum divergences for early reversal signals Extreme Zone Identification: Flags overbought/oversold conditions with pressure context Energy Wave Analysis: Combines pressure with volume and price energy The gauge transforms abstract momentum concepts into concrete pressure measurements that reveal the true force behind market movements. Core Components Explained 1. Raw Pressure Calculation The indicator measures buying and selling pressure in each bar: // Raw buying/selling pressure f_pressure_raw() => float range_val = high - low float buy_pressure = range_val > 0 ? (close - low) / range_val : 0.5 float sell_pressure = range_val > 0 ? (high - close) / range_val : 0.5 // Apply smoothing float pressure_ratio = ta.ema(raw_buy, i_pressure_len) float pressure_smooth = ta.ema(pressure_ratio, i_smooth_len) Pressure components: Buy Pressure: Where price closed within the bar's range (0-1) Sell Pressure: Complementary sell pressure (0-1) Pressure Ratio: Buy pressure as a ratio Smoothing: EMA smoothing for cleaner signals Range Normalization: Pressure relative to bar's range Pressure above 0.5 indicates buying dominance, below 0.5 indicates selling dominance. 2. Volume-Weighted Pressure Volume analysis confirms the significance of pressure: // Volume relative strength float vol_sma = ta.sma(volume, i_pressure_len) float vol_ratio = vol_sma > 0 ? volume / vol_sma : 1.0 float vol_weight = math.min(vol_ratio, 3.0) / 3.0 // Cap at 3x average // Volume-weighted pressure float vw_pressure = pressure_smooth * (0.7 + vol_weight * 0.3) // Cumulative pressure float cum_pressure = ta.sma(raw_buy, i_pressure_len) - 0.5 // Centered at 0 Volume features: Volume Ratio: Current volume relative to average Volume Weight: Normalized volume influence (0-1) VW Pressure: Pressure adjusted for volume participation Cumulative Pressure: Running pressure average Volume Cap: Prevents extreme volume from distorting signals High volume confirms pressure significance, while low volume questions its reliability. 3. Momentum Analysis Multiple momentum factors are combined for comprehensive analysis: // Pressure momentum (rate of change) float pressure_momentum = pressure_smooth - pressure_smooth // Pressure acceleration float pressure_accel = pressure_momentum - pressure_momentum // Composite pressure score (-100 to +100) float composite_score = (pressure_smooth - 0.5) * 200 // Momentum-adjusted score float momentum_adjustment = pressure_momentum * 100 float adjusted_score = composite_score + momentum_adjustment * 0.3 Momentum components: Pressure Momentum: Rate of change in pressure Pressure Acceleration: Change in momentum (second derivative) Composite Score: Normalized pressure score (-100 to +100) Momentum Adjustment: Score adjusted for momentum Acceleration Detection: Identifies momentum shifts Momentum analysis reveals not just current pressure but its direction and acceleration. 4. WaveTrend Integration The WaveTrend oscillator adds an additional momentum layer: f_wavetrend(int channel_len, int avg_len) => float ap = hlc3 float esa = ta.ema(ap, channel_len) float d = ta.ema(math.abs(ap - esa), channel_len) float ci = d > 0 ? (ap - esa) / (0.015 * d) : 0.0 float wt1_local = ta.ema(ci, avg_len) float wt2_local = ta.sma(wt1_local, 4) // WaveTrend signals bool wt_bullish = wt1 > wt2 and wt1 > wt1 bool wt_bearish = wt1 < wt2 and wt1 < wt1 bool wt_oversold = wt1 < -60 bool wt_overbought = wt1 > 60 WaveTrend features: WT1/WT2 Lines: Fast and slow WaveTrend lines Cross Signals: Line crossovers for momentum changes Extreme Levels: Overbought (>60) and oversold (<-60) Trend Confirmation: Line slope for additional confirmation Integration: Combined with pressure for confluence WaveTrend provides an independent momentum confirmation. 5. Energy Wave Calculation The indicator combines multiple energy sources: // Energy combines pressure momentum with volume energy float vol_energy = vol_sma > 0 ? (volume - vol_sma) / vol_sma * 100 : 0 float atr_14 = ta.atr(14) float price_energy = atr_14 > 0 ? (close - open) / atr_14 * 100 : 0 float combined_energy = (pressure_momentum * 100 + vol_energy * 0.3 + price_energy * 0.2) / 1.5 float energy_smooth = ta.ema(combined_energy, 5) Energy components: Volume Energy: Volume deviation from average Price Energy: Price movement relative to ATR Pressure Energy: Momentum contribution Combined Energy: Weighted average of all energies Energy Smoothing: EMA for cleaner energy signals Energy waves show the underlying power driving market movements. 6. Divergence Detection The indicator identifies price/momentum divergences: // Price direction float price_change = close - close int price_dir = price_change > 0 ? 1 : price_change < 0 ? -1 : 0 // Pressure direction int pressure_dir = pressure_momentum > i_momentum_thresh ? 1 : pressure_momentum < -i_momentum_thresh ? -1 : 0 // Divergence detection bool bullish_divergence = price_dir == -1 and pressure_dir == 1 bool bearish_divergence = price_dir == 1 and pressure_dir == -1 Divergence types: Bullish Divergence: Price falling but pressure rising Bearish Divergence: Price rising but pressure falling Hidden Divergence: Continuation patterns Regular Divergence: Reversal patterns Threshold Filter: Minimum momentum for valid divergence Divergences often precede significant price reversals. 7. State Classification System The indicator classifies market states based on pressure: // Pressure state // 2 = extreme buying, 1 = buying, 0 = neutral, -1 = selling, -2 = extreme selling var int pressure_state = 0 if pressure_smooth >= i_extreme_high pressure_state := 2 else if pressure_smooth > 0.5 + i_momentum_thresh pressure_state := 1 else if pressure_smooth <= i_extreme_low pressure_state := -2 else if pressure_smooth < 0.5 - i_momentum_thresh pressure_state := -1 // Momentum state // 1 = accelerating, 0 = steady, -1 = decelerating var int momentum_state = 0 if pressure_accel > i_momentum_thresh / 2 momentum_state := 1 else if pressure_accel < -i_momentum_thresh / 2 momentum_state := -1 State meanings: Extreme Buying: Maximum buying pressure (>70%) Buying: Moderate buying pressure (50-70%) Neutral: Balanced pressure (40-60%) Selling: Moderate selling pressure (30-50%) Extreme Selling: Maximum selling pressure (<30%) Accelerating: Momentum increasing Decelerating: Momentum decreasing State classification provides clear, actionable market conditions. Visual Elements Pressure Histogram: Main pressure display with gradient coloring Multi-Layer Glow: Intensity-based glow effects Energy Wave: Separate energy visualization Momentum Line: Momentum rate of change WaveTrend Lines: Additional momentum confirmation Divergence Markers: Visual divergence signals Extreme Zones: Highlighted overbought/oversold areas Dashboard: Comprehensive metrics panel Signal Labels: Key event labels with spacing The dashboard displays: 1. Current pressure state and intensity 2. Momentum state and acceleration 3. Composite score and direction 4. Volume weight and analysis 5. Divergence status and alerts 6. Energy wave readings 7. Confluence quality score 8. WaveTrend status and signals 9. Overall signal strength Input Parameters Pressure Settings: Pressure Period: Pressure calculation period (default: 14) Smoothing Period: EMA smoothing (default: 5) Momentum Lookback: Momentum calculation (default: 10) Thresholds: Extreme Buying: Maximum buying level (default: 0.7) Extreme Selling: Maximum selling level (default: 0.3) Momentum Threshold: Minimum momentum (default: 0.05) WaveTrend Settings: Channel Length: WT calculation period (default: 9) Average Length: WT smoothing period (default: 12) Enable WT: Toggle WaveTrend on/off Visual Settings: Color Scheme: Customizable pressure colors Glow Effects: Enable visual enhancements Show Zones: Display extreme zones Show Labels: Control signal label frequency How to Use This Indicator Step 1: Assess Pressure State Check the dashboard for current pressure state. Extreme states (>70% or <30%) often precede reversals, while moderate states suggest continuation. Step 2: Analyze Momentum Look at momentum direction and acceleration. Accelerating momentum in the pressure direction confirms strength, while deceleration warns of potential reversals. Step 3: Check Volume Confirmation Ensure pressure is supported by volume. High volume pressure is more reliable than low volume pressure. Step 4: Watch for Divergences Divergences are powerful reversal signals. A bullish divergence (price down, pressure up) suggests buying opportunity, while bearish divergence suggests selling. Step 5: Monitor Energy Waves Energy waves show the underlying power. Rising energy confirms current pressure, while falling energy suggests weakening. Step 6: Use Extreme Zones Extreme buying (>70%) often marks tops, while extreme selling (<30%) often marks bottoms. These are contrarian signals. Best Practices Extreme pressure states (>70% or <30%) often precede reversals Divergences are most reliable at extreme levels Volume confirmation is essential - pressure without volume is suspect Momentum acceleration confirms pressure strength Energy waves provide early warning of momentum shifts Multiple timeframe analysis improves signal reliability Combine with trend analysis for optimal results Use WaveTrend crossovers for additional confirmation Keep a pressure journal to track patterns Be patient for the highest quality setups Trading Applications Momentum Trading: Enter when pressure > 60% and accelerating Add to positions as momentum increases Exit when pressure decelerates or reverses Use volume to confirm signal strength Reversal Trading: Look for extreme pressure (>70% or <30%) Wait for divergence confirmation Enter on first sign of pressure reversal Target mean reversion to 50% level Divergence Trading: Identify clear price/pressure divergences Confirm with volume and energy analysis Enter on momentum shift confirmation Use tight stops due to reversal nature Strategy Integration This indicator enhances any trading system: Use pressure as a trend confirmation filter Import momentum scores for signal weighting Apply divergence detection for early warnings Use extreme zones for contrarian signals Integrate volume-weighted pressure for confirmation Export pressure states for custom logic Technical Implementation Built with Pine Script v6 featuring: Advanced pressure calculation with range normalization Volume-weighted analysis with capping Multi-factor momentum scoring system WaveTrend oscillator integration Energy wave calculation combining multiple sources Sophisticated divergence detection with thresholds State classification with multiple dimensions Multi-layer visualization with glow effects Real-time dashboard with 10 key metrics Alert conditions for all major pressure events The code uses confirmed bars for all calculations to prevent repainting. Originality Statement This indicator is original in its comprehensive approach to pressure and momentum analysis. While individual components (RSI, MACD, WaveTrend) are established tools, this indicator is justified because: It synthesizes pressure analysis with volume weighting for more accurate signals The energy wave concept combines multiple momentum sources into unified analysis State classification provides clear, actionable market conditions Divergence detection includes threshold filtering for higher quality signals Multi-layer visualization with glow effects enhances readability The dashboard presents complex pressure dynamics in an accessible format Volume-weighted pressure adds confirmation often missing from momentum indicators Acceleration analysis provides early warning of momentum shifts Export functions enable integration with any trading system Each component provides unique insights: pressure shows force, volume shows participation, momentum shows direction, energy shows power, and divergence shows potential reversals The indicator's value lies in measuring the underlying forces that drive price movements rather than just tracking price itself, providing traders with deeper insight into market dynamics and potential future direction. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Pressure and momentum analysis is a tool for understanding market forces, not a prediction system. Pressure and momentum can change suddenly due to news events, economic data, or changes in market sentiment. Extreme pressure states can persist longer than expected, and divergences can fail without warning. The indicator's signals are mathematical calculations based on historical patterns and should be used in conjunction with other forms of analysis. Always use proper risk management, including stop losses and position sizing appropriate for your account and risk tolerance. Never trade against strong pressure without confirmation - the trend can remain in force longer than your account can survive. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system. -Made with passion by officialjackofalltrades
อินดิเคเตอร์ Pine Script®
โดย officialjackofalltrades
MACD Advanced: Trend-Weighted MomentumMACD Advanced Overview MACD Advanced is a refined version of the classic Moving Average Convergence Divergence. While the standard MACD identifies changes in momentum, it often produces false signals in ranging markets or against a strong higher-timeframe trend. This script addresses that by "tilting" the MACD calculation based on the slope of a Higher Timeframe (HTF) Moving Average. How it Works The script integrates a Trend Bias Factor derived from the rate of change of a long-period EMA (default 200) from a user-defined timeframe. The Math: It calculates the ratio between the current HTF EMA and its value $n$ bars ago. This ratio is then used to offset the MACD line. Bullish Bias: If the HTF EMA is sloping upward, the MACD is shifted higher, making bearish crossovers harder to trigger and bullish ones more sensitive. Bearish Bias: If the HTF EMA is sloping downward, the MACD is dragged lower, prioritizing short-side momentum. Key Features MTF Integration: Analyze the daily trend while trading on the 5m or 15m chart. Dynamic Histogram: The visual fill between the MACD and its momentum provides a clear look at when momentum is accelerating or exhausting relative to the trend. Customizable Sensitivity: Adjust the lookback period for the trend slope to match your specific asset’s volatility. How to Trade Trend Confirmation: Look for the MACD line (the columns) to cross the zero line. This indicates that both short-term momentum and long-term trend are in alignment. Momentum Exhaustion: When the inner histogram (the fill) begins to shrink back toward the MACD columns, it suggests a potential pull-back or profit-taking zone. Divergences: Look for price making a new high while the MACD Advanced makes a lower high; the trend-weighting makes these divergences more prominent during trend exhaustion. Technical Approach Normalization of MTF Data: The script uses request.security with barmerge.gaps_off to ensure that higher timeframe data is mapped correctly to the current chart bars without creating visual "steps" or "staircases." The Delta Calculation: Instead of a simple boolean filter, we calculate a relative value r = EMA_ current/EMA_ lookback By adding r - 1 to the standard MACD calculation, we create a non-linear offset. This means the more aggressive the trend, the more the MACD is displaced. Visual Architecture: The script uses two plot outputs (g1 and g2) and a fill() function. This creates a "ribbon" effect that is more intuitive than the standard "centered" histogram, as it shows momentum relative to the trend-weighted line rather than a static zero axis. Since this version of the MACD is "weighted" by a higher-timeframe trend, it changes how you read common signals. On a standard chart, the MACD just shows momentum; here, it shows momentum relative to the "big picture" slope. Here is how to effectively use the MACD Advanced on a live chart: 1. Finding the "Trend-Momentum" Alignment The most powerful signal from this indicator occurs when the Trend Factor and the Momentum Histogram both agree. The Bullish Setup: Look for the MACD columns (the "base") to be above the zero line, while the inner fill (the "histogram") is bright green. Interpretation: The Daily trend is up, and the intraday momentum is also accelerating.The Bearish Setup: Look for the MACD columns to be below the zero line, while the inner fill is bright red. Interpretation: The Daily trend is down, and intraday selling pressure is increasing. 2. Reading the "Hidden" Divergence Because we’ve added a trend offset r-1, this indicator identifies "Trend Exhaustion" better than a standard MACD. Standard Divergence: Price makes a higher high, but MACD makes a lower high. Advanced Divergence: If the price makes a higher high, but the MACD Advanced is flat or lower, it means the Higher Timeframe EMA is losing its slope. Even if the price looks strong, the "Big Picture" is flattening out. This is often a precursor to a major reversal. 3. The "Snap-Back" Trade (Mean Reversion) Since you are using a 200 EMA as the trend filter, the indicator will naturally pull back toward zero when the price gets too far from that average. The Signal: If the MACD Advanced is "overextended" (very high or very low relative to its recent history) and the inner histogram crosses back toward the zero line, it’s a sign that the price is likely to "snap back" to the mean. Application: This is great for exiting a trend trade before the actual trend reversal happens. Pro Tip: The "Zero-Cross" Filter In a strong uptrend (Daily EMA 200 is rising), the MACD Advanced will rarely cross below zero. If you see the histogram dip into the red while the MACD columns stay green/above zero, treat that as a "Buy the Dip" opportunity rather than a "Sell" signal. The Chart shows regular MACD vs ADVANCED MACD one can easily observe the difference between them and the trend is identified easily.
อินดิเคเตอร์ Pine Script®
โดย traderharikrishna
QQE Momentum Pulse Pro [identityKa]Overview The QQE Momentum Pulse Pro is a highly responsive sub-chart oscillator designed to measure the velocity and magnitude of directional price movements. Traditional Quantitative Qualitative Estimation (QQE) indicators suffer from severe signal lag due to triple-layered EMA smoothing. This script addresses that core flaw by introducing an optional "Zero-Lag Engine," swapping the standard exponential smoothing for a dynamic Hull Moving Average (HMA), effectively eliminating lag while preserving the indicator's mathematical robustness. Underlying Mathematics & Enhancements The foundation of the engine is built upon the Relative Strength Index (RSI). Volatility Trailing Bands: The script calculates the Absolute True Range of the smoothed RSI, which is then further smoothed using Wilder's methodologies. This creates dynamic fast and slow trailing bands that track the momentum. The Pulse Histogram: Instead of plotting multiple confusing lines on the chart, this script calculates the exact mathematical difference (spread) between the smoothed RSI and the dynamic trailing band. This spread is plotted as a zero-line oscillating histogram. Four-Color State Logic: The histogram's color intensity provides instant visual feedback regarding momentum acceleration. Bright Neon Green indicates rising positive momentum (acceleration), whereas Dark Green indicates positive but decaying momentum (deceleration). The same logic applies inversely for bearish trends with Bright/Dark Red. HUD Dashboard & AI Logic To prevent traders from getting trapped in exhausting trends, the integrated on-chart panel translates the histogram's state into a mechanical directive: LONG: Triggered when the histogram is positive (above the zero line) and its value is strictly greater than the previous bar (actively growing). SHORT: Triggered when the histogram is negative (below the zero line) and its value is strictly less than the previous bar (actively deepening). Dangerous: This is the crucial risk-management state. It is triggered the exact moment the histogram shifts from bright to dark colors. It indicates a mathematical divergence where the macro trend may still exist, but the immediate momentum driving it is rapidly fading. How to Use It This tool is best paired with a main-chart trend indicator (like a SuperTrend or Moving Average crossover). Traders should look to execute LONG or SHORT entries when the Pulse Histogram crosses the zero line and the AI Suggestion aligns with their directional bias. If the AI Suggestion switches to "Dangerous", traders should consider scaling out of active positions, tightening stop-losses, or avoiding taking new trend-continuation entries, as a pullback or consolidation phase is statistically imminent.
อินดิเคเตอร์ Pine Script®
โดย IdentityKa
Dynamic Volume Histogram [DVH]Dynamic Volume Histogram is a clean and intuitive volume visualization tool designed for swing traders who want deeper insight into market participation and volume behavior at a glance. Unlike the standard volume indicator, DVH color-codes each bar based on both candle direction AND volume intensity — giving you an immediate visual read on whether a move is backed by conviction or just noise. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔍 HOW IT WORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Each volume bar is colored across 4 distinct conditions: ✅ Bullish candle + Normal volume → Green (regular buying pressure) 🔵 Bullish candle + 10M+ volume → Blue (high conviction buying) 🔴 Bearish candle + Normal volume → Red (regular selling pressure) ⚫ Bearish candle + 10M+ volume → Black (high conviction selling) A moving average line is overlaid on the histogram to help you quickly identify whether current volume is above or below its recent average — a key signal for swing trade confirmation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 KEY FEATURES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • 4 fully customizable bar colors — adjust to your chart theme • Configurable high-volume threshold (default: 10 million) • Smart labels on high-volume bars showing exact volume value • Average volume line with adjustable period (default: 20) • Clean and lightweight — no repainting, no complex math ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Blue bars on breakout candles → strong institutional buying, potential swing long opportunity • Black bars on breakdown candles → aggressive selling pressure, watch for continuation or reversal confirmation • Bars consistently below the average line → low participation, avoid chasing moves • Spike in volume (color shift) after consolidation → possible trend initiation, ideal swing entry zone ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • High Volume Threshold — default 10,000,000 (adjustable) • Average Volume Length — default 20 periods • Show Average Line — toggle on/off • Bar Colors — 4 independent color pickers ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator works best on daily and weekly timeframes for swing trading setups. Combine with support/resistance levels or price action signals for highest accuracy. No repainting. No nonsense. Just clean volume context.
อินดิเคเตอร์ Pine Script®
โดย raajanganesh
Chaikin Money Flow with Shaded BackgoundThis script is a modernized version of Chaikin Money Flow with time‑horizon presets, Histogram Mode, and Regime Background Shading. Preset Modes Daily – Standard (20): Classic CMF(20), ideal for swing trading. **Weekly – Short (5): Time‑scaled equivalent of CMF(20) for weekly charts. Monthly – Smooth (10): Long‑cycle accumulation/distribution smoothing. Manual: Full control over CMF length. These presets are designed to maintain **consistent time‑horizon behavior** across different chart timeframes. Line: Traditional CMF line. Histogram: Momentum‑style histogram. Hybrid: Line + histogram. CMF‑SMA Mode: Histogram shows CMF minus its SMA. CMF Change Mode: Histogram shows bar‑to‑bar CMF acceleration. Note: When using Histogram Mode, switch the Histogram Type input between CMF‑SMA and CMF Change depending on the style you want. Green: CMF > 0 (Accumulation) Red: CMF < 0 (Distribution) This provides a clean, structural read of market pressure without cluttering the chart.
อินดิเคเตอร์ Pine Script®
โดย followmytradingjournal
Gaussian Volume Profile [LuxAlgo]The Gaussian Volume Profile indicator is a sophisticated volume analysis tool that uses the Levenberg-Marquardt optimization algorithm to fit a Sum of Gaussians model to historical volume distribution. This approach transcends traditional discrete volume profiles by providing a continuous, noise-reduced representation of liquidity clusters, allowing for the precise identification of high-volume nodes and their respective price boundaries. 🔶 USAGE The indicator projects a lateral volume density map to the right of the current price action. Users can utilize this tool to identify "fair value" zones where the Gaussian peaks are most concentrated. Unlike standard profiles that show jagged horizontal bars, this tool provides a smooth "fit" line that highlights the true center of gravity for volume at specific price levels. 🔹 Identifying High-Volume Nodes The script automatically detects local maxima (peaks) within the fitted Gaussian model. These peaks represent the most significant price levels where the highest density of trading occurred. Horizontal dashed lines are drawn at these apexes, color-coded to match the specific Gaussian component that is most dominant at that price. 🔹 Zone Width and Volatility By observing the width (standard deviation) of the individual Gaussian components (the dotted curves), traders can gauge the "breadth" of a value area. A narrow, sharp peak suggests a very specific price level of agreement, while a wide, shallow curve indicates a broad range where volume was distributed less precisely. 🔶 DETAILS This tool represents a scientific advancement over regular Volume Profiles by applying a Gaussian Density model to market data: Noise Reduction: Discrete profiles are often "noisy," with small volume gaps between price ticks. The Sum of Gaussians model acts as a sophisticated filter, smoothing out insignificant variances to reveal the underlying structural liquidity. Levenberg-Marquardt Optimization: The script utilizes the LM algorithm, a standard in non-linear least squares problems, to iteratively refine the fit of multiple Gaussian pulses. This ensures the model converges on the most mathematically accurate representation of the volume data. Precise Liquidity Centers: While a standard profile bin might be several ticks wide, the Gaussian apex provides a mathematically derived "center" ($\mu$) for liquidity, often offering more precise support and resistance levels. Continuous Distribution: Because it models volume as a continuous function, it can estimate volume density between discrete price bins, providing a more fluid view of market interest. The visual output combines a lateral histogram with a bold Gaussian density curve, color-coded components, and auto-detected peak levels for a comprehensive view of institutional interest. 🔶 SETTINGS 🔹 Profile Settings Lookback Window: The number of historical bars used to calculate the volume profile distribution. Number of Bins: Determines the vertical resolution of the profile. More bins provide more detail but require more computation. 🔹 Gaussian Settings Max Potential Peaks: The maximum number of Gaussian components (nodes) the algorithm will attempt to fit to the data. Max Iterations: Controls how many times the LM optimizer refines the fit. Higher values improve accuracy but may impact performance. Initial Lambda: The damping factor for the optimization algorithm, affecting the early steps of the fitting process. 🔹 Visuals Histogram Resolution: The maximum horizontal length of the projected histogram and fit line, measured in bar widths. Highlight Window Range: Toggles a visual background box covering the historical lookback area for context. Highlight Detected Peaks: Detects local maxima in the final fit and draws horizontal dashed levels at those price points. Fit Color: Sets the static color for the main density curve. Auto: When enabled, the fit color automatically adapts to your chart's foreground color (e.g., white on dark backgrounds).
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
1
Extended Sentiment Pressure Oscillator (ESP)Extended Sentiment Pressure Oscillator (ESP) The ESP is a multi-purpose trend and bias oscillator designed to visualize who is in control: buyers or sellers. It measures the balance between upward and downward pressure inside each candle and across a lookback window, then converts that information into an easy-to-read visual signal. Unlike classic oscillators that only look at close prices, ESP evaluates price structure (High–Low–Open–Close), range behavior, and multiple normalization methods. This makes it adaptable to many markets—from fast crypto scalping to slower swing trading on stocks, forex, commodities... What makes ESP different? _______________________ Most oscillators give you a single line. ESP gives you a full pressure model: * Uptrend line – how strong buyers are * Downtrend line – how strong sellers are * Net Pressure (Bias) – the real battle result * Optional histogram and signals You can view it in: * Classic 0–100 mode (Average Sentiment Oscillator style) * Expanded centered mode (-50…+50) for intuitive bullish/bearish reading ESP is not “another RSI”. It focuses on market pressure and imbalance, not overbought/oversold. Core Features ____________ Multi-Normalization Engine - Choose how pressure is measured: * Bar Range – immediate candle structure * Window Range – broader context * Mix – blend of both, averaged. * Hybrid - pure blend of Bar- & Window Range, not averaged. * (Average) True Range (TR / ATR) – volatility-aware modes Adaptive Smoothing: Select your preferred MA type: SMA, EMA, HMA, SMMA (RMA), WMA, VWMA Sensitivity Control - A unique ESP Sensitivity knob lets you: * Reduce noise (<1.0) * Amplify reactions (>1.0) * or stay neutral (1.0) Signal Logic - Two modes: * ZeroCross – classic bias crossing * MomentumShift – early detection using consecutive rises/falls and slope strength Visual Tools: * Tricolor Net Pressure line * Bias histogram * Optional UP/DOWN flags * Focus mode to highlight the most important signal How to Use ESP (Practical Use Cases) ? ________________________________ 1) Trend Confirmation Use ESP as a trend filter for your main strategy: * Net Pressure above 0 → bullish environment * Net Pressure below 0 → bearish environment * Rising Net Pressure → momentum building Great companion to combine with: * Price Action * Other indicators like * Crossing EMA's * MACD * VWAP * RSI * ... * Breakout systems * ... 2) Early Momentum Detection With MomentumShift mode, ESP can react before a zero cross: * Two or more consecutive rises = early bullish shift * Two or more consecutive falls = early bearish shift * Optional minimum slope filters weak moves Ideal for: * Scalping pullbacks * Exit timing * Avoiding late entries 3) Regime & Strength Analysis by combining: * Up/Down lines * Net Pressure * Histogram This lets you read: * Strong trends * Weak consolidations * Momentum exhaustion * Diverging pressure vs price Who is this for? _____________ Anyone can use this indicator at will, while this could prove an extra aid especially for: * Discretionary traders needing clear bias visualization * Traders looking for a robust gate/filter aid * Multi-asset traders (crypto, stocks, forex, commodities,...) Important Notes ______________ ESP is an indicator or technical analytical tool, not a trading system Works best combined with price action and risk management Past performance ≠ future results Signals provided should not be used solely to make any trading decisions Trading always involves risk To conclude, ESP or Extended Sentiment Pressure oscillator can help you understand the pressure behind the candles, making decisions clearer based on structure rather than on noise.
อินดิเคเตอร์ Pine Script®
โดย PJooris1408
2
Gamma Hedging Pressure Gamma Hedging Pressure (Proxy) – Market Maker Gamma Exposure Estimator This open-source, non-overlay indicator provides a **proxy** for dealer/market-maker gamma hedging pressure using only standard OHLCV data — no options chain or implied volatility required. Core Concept In options markets, gamma measures how much delta changes with price movement. When dealers are **net short gamma** (negative gamma), they must hedge aggressively in the direction of the move → this amplifies trends and breakouts. When **net long gamma** (positive gamma), they hedge against the move → this creates mean-reversion and pinning behavior. Because true gamma exposure is hidden (dealer books are private), this script estimates hedging pressure indirectly by combining: - Volatility expansion (normalized range) - Price acceleration (second derivative) - Abnormal volume participation High positive values → likely negative gamma regime (trend acceleration) High negative values → likely positive gamma regime (reversion pressure) Near zero → neutral/chop Why this proxy is useful True gamma dashboards require Level 2 options data and are often delayed or paid. This lightweight version: - Works on any instrument with volume (stocks, futures, forex proxies, crypto) - Updates in real time - Helps traders anticipate whether the current move is likely to accelerate (negative gamma) or fade (positive gamma) - Useful as a regime filter alongside support/resistance, order flow, or momentum tools How It Works – Step by Step 1. Volatility Expansion - Normalized range = (high - low) / ATR(14) 2. Price Acceleration - First difference: close - close - Second difference (acceleration): diff - diff 3. Volume Participation - Normalized volume = volume / SMA(volume, 20) 4. Raw Pressure - rawPressure = normalized range × acceleration × normalized volume 5. Smoothed Gamma Pressure - gammaPressure = EMA(rawPressure, 5) // short smoothing for responsiveness 6. Optional Daily Reset - If enabled, resets to 0 at the start of each new day (useful for intraday) 7. Regime Classification - Negative Gamma (red): gammaPressure > +threshold (default 0.5) → trend/breakout likely - Positive Gamma (green): gammaPressure < -threshold → mean-reversion likely - Neutral (gray): within ±threshold → chop/consolidation Visual Output - Histogram: colored by regime (red = negative gamma / trend accel, green = positive gamma / reversion, gray = neutral) - Zero line reference - Background tint: red/green during strong regimes - Last-bar label: "NEGATIVE GAMMA – Trend / Breakout", "POSITIVE GAMMA – Mean Reversion", or "NEUTRAL" How to Use - Best on intraday timeframes (5m–1h) for futures (NQ, ES, GC), indices, or high-volume stocks - Daily/4h for swing context on liquid names - Interpretation examples: → Red histogram + rising pressure → dealers likely short gamma → expect trend continuation or acceleration → Green histogram + falling pressure → dealers long gamma → expect fading moves, pinning near strikes, or reversion → Gray/neutral → low gamma pressure → range-bound or low-conviction market - Combine with: - Key levels (VWAP, previous highs/lows) - Volume profile or order flow - Options-related news (expiration days, gamma flips) - Threshold tuning: 0.3–0.8 depending on instrument volatility (lower for crypto, higher for forex) Inputs - ATR Length: default 14 - Volume MA Length: default 20 - Gamma Threshold: default 0.5 (sensitivity for regime coloring) - Reset on New Session: true = daily reset (recommended for intraday) Publishing Recommendation - Publish with a clean chart (e.g., 15m–1h NQ1!, ES1!, or SPY) - Show a trending period (red histogram) and a ranging/consolidation period (green/gray) - No extra indicators/drawings needed for basic interpretation This is an **educational proxy** — not a direct measure of actual dealer gamma. It approximates pressure from observable market behavior. Trading involves significant risk of loss. Use discretion and proper risk management. Feedback welcome — especially threshold or smoothing suggestions for different markets!
อินดิเคเตอร์ Pine Script®
โดย uzair2join
Rhokeo-VW-RSI Histogram for Cumulative Delta by ZeiirmanRhokeo-VW-RSI Histogram: Volume-Weighted Momentum (use with Cumulative Delta from Zeiierman) Note that Cumulative Delta is a paid indicator. Overview: The Rhokeo-VW-RSI Histogram is a momentum oscillator designed to filter out market noise by integrating volume directly into the RSI calculation. Unlike a standard RSI, which only considers price change, this indicator weights those changes by the volume occurring at the time. It creates a momentum profile in the form of a Histogram. If the price moves on high volume, the indicator reflects that strong market interest through its volume-weighted gain and loss calculations. It is particularly effective as a complementary filter for “Cumulative Delta” from Zeiierman to confirm the strength behind a move before you enter a trade. How It Works The indicator operates on a normalized scale of -1.0 to +1.0 for easier visual interpretation and compatibility with Cumulative Delta indicator: • The Volume-Weighted Core: Gains and losses are calculated by multiplying the price change by volume to ensure the "Relative Strength" reflects true capital flow. • Smoothing for Clarity: The raw Volume Weighted RSI (VW-RSI) is processed through a customizable Moving Average—such as SMA, EMA, SMMA, WMA, or VWMA—to produce the smooth histogram. • Four-Zone Coloring System: The histogram changes color dynamically based on momentum intensity: o Strong Bull: Price is trending up with high-volume conviction. o Weak Bull: Positive momentum, but not yet overextended. o Weak Bear: Negative momentum starting to build. o Strong Bear: Heavy selling pressure with high-volume conviction. Key Features • Shading: The background features optional red and green shading in the "Extreme" zones to warn traders of potential exhaustion areas. • Dynamic Zero Line: The center line flips color between Green and Red based on whether the VW-RSI is positive or negative. • Customization: Traders can adjust the smoothing length, source price, and the specific levels for overbought/oversold zones. Best Use Case for New Traders: New traders often get "faked out" by price spikes that have no volume behind them. This indicator helps confirm and time better entries: 1. Wait for your Cumulative Delta indicator to give a signal. 2. Check the VW-RSI Histogram and whether it confirms or not. 3. Long Entry: Only enter if the histogram is positive and rising (above 0). 4. Short Entry: Only enter if the histogram is negative and decreasing (below 0). ________________________________________ Disclaimer Financial Risk: • Trading involves significant risk, and most traders lose money. • This indicator is a tool for technical analysis and does not constitute financial, investment, or trading advice. • Past performance is not indicative of future results; never trade with money you cannot afford to lose. Usage & Reliability: • The Rhokeo-VW-RSI Histogram is provided "as-is" for educational and informational purposes only. • While volume-weighting aims to filter market noise, no indicator can guarantee 100% accuracy or predict future market movements with certainty. • This script is intended to be a complementary tool that works well with other indicators in this case the Cumulative Delta from Zeiirman; it should be used in conjunction with other forms of analysis, risk management, and your own due diligence. Commercial Notice: • If you are using this alongside a third-party paid indicator, please note that I am not responsible for the performance or support of external products. • Users are responsible for their own trade execution and account management.
อินดิเคเตอร์ Pine Script®
โดย nabil007
[COG] Platypus Platypus Overview Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts. The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum. Key Features ✅ Volume Momentum Calculation Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods Quiet Market Filtering: Reduces noise during low-activity periods Spike Detection: Identifies abnormal volume surges with boosted weighting Momentum Smoothing: EMA-based smoothing prevents erratic signals ✅ Entry Pattern Detection 3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells) State Management: Prevents consecutive signals in same direction without reset Background Confirmation: Must align with bullish/bearish market state EMA Alignment Filter: Ensures trend structure supports the trade direction ✅ Multi-Timeframe Filtering System HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint) HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries) Dual-Filter Capability: Use both filters for maximum precision ✅ Dashboard Real-time Status Monitoring: Volume trend, background state, EMA order, trade state Filter Status Display: Shows HTF filter conditions and signal permission Pattern Detection: Indicates when 3-bar entry pattern is forming ✅ On-Chart Integration 50/100/200 EMAs: Automatically plotted on price chart with customizable colors Visual Entry Markers: Triangle signals appear on price chart at entry points Signal Alerts: Built-in alert conditions for all signal types 📚 Core Settings Explained signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings") Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react. volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings") Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions. priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings") Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background. Advanced Settings momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced") Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility. momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced") Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag. quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced") Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves. volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
อินดิเคเตอร์ Pine Script®
โดย CognitiveAlpha
2
Nova Capital MACDNova Capital MACD is a momentum oscillator based on the classic MACD calculation, enhanced with a clean 4-state histogram and optional signal labels. Core calculation: MACD Line = Fast MA − Slow MA Signal Line = MA(MACD Line, Signal Length) Histogram = MACD Line − Signal Line Features in this version: 4-state histogram coloring (positive/negative + rising/falling) to visualize momentum changes more clearly. Optional confirmed-bar behavior (signals trigger only on closed bars). Optional zero-line directional filter: Long labels only when MACD is below 0. Short labels only when MACD is above 0. Built-in alert conditions for Long/Short events. How to use: Watch histogram state changes for momentum transitions. A Long label appears on MACD crossing above the Signal line (optionally below 0). A Short label appears on MACD crossing below the Signal line (optionally above 0). Note: This indicator is not a complete trading system. Use risk management and confirm signals with market context.
อินดิเคเตอร์ Pine Script®
โดย novacapitalvip
Smart RSI Composite [DotGain]Summary Do you want to know the "True Direction" of the market without getting distracted by noise on a single timeframe? The Smart RSI Composite simplifies market analysis by aggregating momentum data from 10 different timeframes (5m to 12M) into a single, easy-to-read Histogram. Instead of looking at 10 separate charts or dots, this indicator calculates the Average RSI of the entire market structure. It answers one simple question: "Is the market predominantly Bullish or Bearish right now?" ⚙️ Core Components and Logic This indicator works like a consensus mechanism for momentum: Data Aggregation: It pulls RSI values from 10 customizable slots (Default: 5m, 15m, 1h, 4h, 1D, 1W, 1M, 3M, 6M, 12M). All slots are enabled by default. Smart Averaging: It calculates the arithmetic mean of all active timeframes. If the 5m chart is bearish but the Monthly chart is bullish, this indicator balances them out to show you the net result. Histogram Visualization: The result is plotted as a histogram centered around the 50-line (Neutral). 🚦 How to Read the Histogram The histogram bars indicate the aggregate strength of the trend based on the Average RSI: 🟩 DARK GREEN (Strong Bullish) Condition: Average RSI > 60. Meaning: The market is in a strong uptrend across most timeframes. Momentum is firmly on the buyers' side. 🟢 LIGHT GREEN (Weak Bullish) Condition: Average RSI between 50 and 60. Meaning: Slight bullish bias. The bulls are in control, but momentum is not yet extreme. 🔴 LIGHT RED (Weak Bearish) Condition: Average RSI between 40 and 50. Meaning: Slight bearish bias. The bears are taking control. 🟥 DARK RED (Strong Bearish) Condition: Average RSI < 40. Meaning: The market is in a strong downtrend across most timeframes. Momentum is firmly on the sellers' side. Visual Elements Center Line (50): This acts as the Zero-Line. Above 50 is bullish, below 50 is bearish. Zone Lines (30/70): Dashed lines indicate the traditional Overbought/Oversold levels applied to the aggregate average. Key Benefit The Smart RSI Composite acts as a powerful Macro Trend Filter . Pro Tip: Never go long if the Histogram is Dark Red, and avoid shorting when it is Dark Green. Use this tool to align your trades with the overall market momentum. Have fun :) Disclaimer This "Smart RSI Composite" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
อินดิเคเตอร์ Pine Script®
โดย DotGain
Volume Surprise [LuxAlgo]The Volume Surprise tool displays the trading volume alongside the expected volume at that time, allowing users to spot unexpected trading activity on the chart easily. The tool includes an extrapolation of the estimated volume for future periods, allowing forecasting future trading activity. 🔶 USAGE We define Volume Surprise as a situation where the actual trading volume deviates significantly from its expected value at a given time. Being able to determine if trading activity is higher or lower than expected allows us to precisely gauge the interest of market participants in specific trends. A histogram constructed from the difference between the volume and expected volume is provided to easily highlight the difference between the two and may be used as a standalone. The tool can also help quantify the impact of specific market events, such as news about an instrument. For example, an important announcement leading to volume below expectations might be a sign of market participants underestimating the impact of the announcement. Like in the example above, it is possible to observe cases where the volume significantly differs from the expected one, which might be interpreted as an anomaly leading to a correction. 🔹 Detecting Rare Trading Activity Expected volume is defined as the mean (or median if we want to limit the impact of outliers) of the volume grouped at a specific point in time. This value depends on grouping volume based on periods, which can be user-defined. However, it is possible to adjust the indicator to overestimate/underestimate expected volume, allowing for highlighting excessively high or low volume at specific times. In order to do this, select "Percentiles" as the summary method, and change the percentiles value to a value that is close to 100 (overestimate expected volume) or to 0 (underestimate expected volume). In the example above, we are only interested in detecting volume that is excessively high, we use the 95th percentile to do so, effectively highlighting when volume is higher than 95% of the volumes recorded at that time. 🔶 DETAILS 🔹 Choosing the Right Periods Our expected volume value depends on grouping volume based on periods, which can be user-defined. For example, if only the hourly period is selected, volumes are grouped by their respective hours. As such, to get the expected volume for the hour 7 PM, we collect and group the historical volumes that occurred at 7 PM and average them to get our expected value at that time. Users are not limited to selecting a single period, and can group volume using a combination of all the available periods. Do note that when on lower timeframes, only having higher periods will lead to less precise expected values. Enabling periods that are too low might prevent grouping. Finally, enabling a lot of periods will, on the other hand, lead to a lot of groups, preventing the ability to get effective expected values. In order to avoid changing periods by navigating across multiple timeframes, an "Auto Selection" setting is provided. 🔹 Group Length The length setting allows controlling the maximum size of a volume group. Using higher lengths will provide an expected value on more historical data, further highlighting recurring patterns. 🔹 Recommended Assets Obtaining the expected volume for a specific period (time of the day, day of the week, quarter, etc) is most effective when on assets showing higher signs of periodicity in their trading activity. This is visible on stocks, futures, and forex pairs, which tend to have a defined, recognizable interval with usually higher trading activity. Assets such as cryptocurrencies will usually not have a clearly defined periodic trading activity, which lowers the validity of forecasts produced by the tool, as well as any conclusions originating from the volume to expected volume comparisons. 🔶 SETTINGS Length: Maximum number of records in a volume group for a specific period. Older values are discarded. Smooth: Period of a SMA used to smooth volume. The smoothing affects the expected value. 🔹 Periods Auto Selection: Automatically choose a practical combination of periods based on the chart timeframe. Custom periods can be used if disabling "Auto Selection". Available periods include: - Minutes - Hours - Days (can be: Day of Week, Day of Month, Day of Year) - Months - Quarters 🔹 Summary Method: Method used to obtain the expected value. Options include Mean (default) or Percentile. Percentile: Percentile number used if "Method" is set to "Percentile". A value of 50 will effectively use a median for the expected value. 🔹 Forecast Forecast Window: Number of bars ahead for which the expected volume is predicted. Style: Style settings of the forecast.
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
10
Risk Distribution HistogramStatistical risk visualization and analysis tool for any ticker 📊 The Risk Distribution Histogram visualizes the statistical distribution of different risk metrics for any financial instrument. It converts risk data into histograms with quartile-based color coding, so that traders can understand their risk, tail-risks, exposure patterns and make data-driven decisions based on empirical evidence rather than assumptions. The indicator supports multiple risk calculation methods, each designed for different aspects of market analysis, from general volatility assessment to tail risk analysis. Risk Measurement Methods Standard Deviation Captures raw daily price volatility by measuring the dispersion of price movements. Ideal for understanding overall market conditions and timing volatility-based strategies. Use case: Options trading and volatility analysis. Average True Range (ATR) Measures true range as a percentage of price, accounting for gaps and limit moves. Valuable for position sizing across different price levels. Use case: Position sizing and stop-loss placement. The chart above illustrates how ATR statistical distribution can be used by looking at the ATR % of price distribution. For example, 90% of the movements are below 5%. Downside Deviation Only considers negative price movements, making it ideal for checking downside risk and capital protection rather than capturing upside volatility. Use case: Downside protection strategies and stop losses. Drawdown Analysis Tracks peak-to-trough declines, providing insight into maximum loss potential during different market conditions. Use case: Risk management and capital preservation. The chart above illustrates tale risk for the asset (TQQQ), showing that it is possible to have drawdowns higher than 20%. Entropy-Based Risk (EVaR) Uses information theory to quantify market uncertainty. Higher entropy values indicate more unpredictable price action, valuable for detecting regime changes. Use case: Advanced risk modeling and tail-risk. VIX Histogram Incorporates the market's fear index directly into analysis, showing how current volatility expectations compare to historical patterns. The CAPITALCOM:VIX histogram is independent from the ticker on the chart. Use case: Volatility trading and market timing. Visual Features The histogram uses quartile-based color coding that immediately shows where current risk levels stand relative to historical patterns: Green (Q1): Low Risk (0-25th percentile) Yellow (Q2): Medium-Low Risk (25-50th percentile) Orange (Q3): Medium-High Risk (50-75th percentile) Red (Q4): High Risk (75-100th percentile) The data table provides detailed statistics, including: Count Distribution: Historical observations in each bin PMF: Percentage probability for each risk level CDF: Cumulative probability up to each level Current Risk Marker: Shows your current position in the distribution Trading Applications When current risk falls into upper quartiles (Q3 or Q4), it signals conditions are riskier than 50-75% of historical observations. This guides position sizing and portfolio adjustments. Key applications: Position sizing based on empirical risk distributions Monitoring risk regime changes over time Comparing risk patterns across timeframes Risk distribution analysis improves trade timing by identifying when market conditions favor specific strategies. Enter positions during low-risk periods (Q1) Reduce exposure in high-risk periods (Q4) Use percentile rankings for dynamic stop-loss placement Time volatility strategies using distribution patterns Detect regime shifts through distribution changes Compare current conditions to historical benchmarks Identify outlier events in tail regions Validate quantitative models with empirical data Configuration Options Data Collection Lookback Period: Control amount of historical data analyzed Date Range Filtering: Focus on specific market periods Sample Size Validation: Automatic reliability warnings Histogram Customization Bin Count: 10-50 bins for different detail levels Auto/Manual Bin Width: Optimize for your data range Visual Preferences: Custom colors and font sizes Implementation Guide Start with Standard Deviation on daily charts for the most intuitive introduction to distribution-based risk analysis. Method Selection: Begin with Standard Deviation Setup: Use daily charts with 20-30 bins Interpretation: Focus on quartile transitions as signals Monitoring: Track distribution changes for regime detection The tool provides comprehensive statistics including mean, standard deviation, quartiles, and current position metrics like Z-score and percentile ranking. Enjoy, and please let me know your feedback! 😊🥂
อินดิเคเตอร์ Pine Script®
โดย HenriqueCentieiro
2
Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed✨ Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed ✨ Take your MACD analysis to the next level with the Advanced MACD Pro - T3 Themed indicator by WhiteStone_Ibrahim! This isn't just another MACD; it's a comprehensive toolkit packed with advanced features, unique T3 integration, and extensive customization options to provide deeper market insights. Whether you're a seasoned trader or just starting, this indicator offers a versatile and powerful way to analyze momentum, identify trends, and spot potential reversals. Key Features: Core MACD Functionality: Classic MACD Line: Calculated from customizable Fast and Slow EMAs using your chosen source (Close, Open, HLC3, etc.). Standard Signal Line: EMA of the MACD line, with adjustable length. Dynamic MACD Line Coloring: Automatically changes color based on whether it's above or below the zero line (positive/negative). Zero Line: Clearly plotted for reference. Enhanced MACD Histogram: Sophisticated Color Coding: The histogram isn't just positive or negative. It intelligently colors based on momentum strength and direction: Strong Bullish: MACD above signal, histogram increasing. Weakening Bullish: MACD above signal, histogram decreasing. Strong Bearish: MACD below signal, histogram decreasing. Weakening Bearish: MACD below signal, histogram increasing. Neutral: Default color for other conditions. Optional Histogram Smoothing: Smooth out the histogram noise using one of five different moving average types: SMA, EMA, WMA, RMA, or the advanced T3 (Tilson T3). Customize smoothing length and T3 vFactor. 🌟 Unique T3 Integration (T3 Themed): Extra T3 Signal Line (on MACD): An additional, fast-reacting T3 moving average calculated directly from the MACD line. This provides an alternative and often quicker signal. Customizable T3 length and vFactor. Dynamic Coloring: The T3 Signal Line changes color (bullish/bearish) based on its crossover with the MACD line, offering clear visual cues. T3 is also available as a smoothing option for the main histogram (see above). 🔍 Disagreement & Divergence Detection: Bar/Price Disagreement Markers: Highlights instances where the price bar's direction (e.g., a bullish candle) contradicts the current MACD momentum (e.g., MACD below its signal line). Visual markers (circles) appear above/below bars to draw attention to these potential early warnings or confirmations. Histogram Color Change on Disagreement: Optionally, the histogram can adopt distinct alternative colors during these bar/price disagreements for even clearer visual alerts. Classic Bullish & Bearish Divergence Detection: Automatically identifies regular divergences between price action (Higher Highs/Lower Lows) and the MACD line (Lower Highs/Higher Lows). Customizable pivot lookback periods (left and right bars) for divergence sensitivity. Plots clear "Bull" and "Bear" labels on the price chart where divergences occur. 🎨 Extensive Customization & Visuals: Multiple Color Themes: Choose from pre-set themes like 'Dark Mode', 'Light Mode', 'Neon Night', or use 'Default (Current Settings)' to fine-tune every color yourself. Granular Control (Default Theme): Individually customize colors and thickness for: MACD Line (positive/negative) Standard Signal Line Extra T3 Signal Line (bullish/bearish) Histogram (all four momentum states + neutral) Disagreement Markers & Histogram Alt Colors Divergence Lines/Labels Zero Line Toggle Visibility: Easily show or hide the Standard Signal Line and the Extra T3 Signal Line as needed. 🔔 Comprehensive Alert System: Stay informed of key market events with a wide array of configurable alerts: MACD Line / Standard Signal Line Crossover Histogram / Zero Line Crossover MACD Line / Zero Line Crossover Bullish Divergence Detected Bearish Divergence Detected Bar/Price Disagreement (Bullish & Bearish) MACD Line / Extra T3 Signal Line Crossover Each alert can be individually enabled or disabled. The Advanced MACD Pro - T3 Themed indicator is designed to be your go-to tool for momentum analysis. Its rich feature set empowers you to tailor it to your specific trading style and gain a more nuanced understanding of market dynamics. Add it to your charts today and experience the difference! (Developed by WhiteStone_Ibrahim)
อินดิเคเตอร์ Pine Script®
โดย WhiteStone_Ibrahim
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines —  ZVOL  ( volume anomaly detection ) and  OBVX  ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes  optical tensegrity  to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame. 🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets,  Volumetric Tensegrity  captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes. 🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate. 🧠 Core Logic - VTense separates and preserves two essential structural forces: • ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior. • OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off. 🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint. 🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points  before  price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation. 🪖 From Generals to Scouts 👀 When used jointly,  ZVOL + OBVX  act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a  scout  — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate. 🥂 Use the ZVOL + OBVX pair when : • You need independent axis control and manual dissection • You’re building long-form confluence setups • You have more indicator slots than you need 🔎 Use VTense when : • You need compact clarity across multiple instruments • You’re prioritizing confluence _detection_ over granular separation • You’re building efficient multi-layered systems under slot constraints 🏗️ Structural Behavior and Interpretation 🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline 🔵  Compression Coil  – volume volatility is low and stable; the market is coiling 🟢  Steady Rhythm  – volume is healthy but unremarkable; balanced participation 🟡  Passive/Absorbed Effort  – expansion failing to manifest; watch for reversal 🟠  Clean Expansion  – actionable volatility rise backed by structure 🔴  Volatile Blowout  – chaos, climax; likely end-phase or fakeout ⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically  abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field. 🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves 🔑 The curvature of the spread reveals not just directional bias but  crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision. • Green Rising : Accumulation — upward pressure from real buyers • Red Falling : Distribution — sell pressure, downward slope • Flat Curves : Transitional → uncertainty, microstructure digestion 🎭 Synchronized vs Divergent Behavior ⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves. • ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure • ZVOL expands while OBVX steepens red = growing sell-side intent 🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps. • ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment ⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release. • ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy • After prolonged drift, expect violent asymmetry when balance finally breaks 📚 Phase Interpretation: Dynamic Structural Read • 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency • 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension • 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment • 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal 💡 Suggested Use • Run on 15m charts for breakout anticipation and 1H for validation • Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase • Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.) • Ideal during low-volume regimes to detect pressure buildup before triggers 🧏🏻 Volumetric Tensegrity doesn’t signal. It  breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
อินดิเคเตอร์ Pine Script®
โดย TheLeadingIndicator
1
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy. Key Features Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime. Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations. 3-State Entropy: Assesses market uncertainty across up, down, and neutral states. Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC. Multi-Timeframe Alignment: Syncs with higher timeframe trends for context. Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling. How to Use and Interpret Histogram Interpretation Positive (Above Zero): Bullish momentum; color intensity shows trend strength. Negative (Below Zero): Bearish momentum; gradients indicate weakness. Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points. Regime Visualization Green Background: Trending market; prioritize momentum signals. Red Background: Mean-reverting market; focus on reversion signals. Blue Background: Neutral state; balance both signal types. Trading Signals Buy: Histogram crosses above zero or shows positive divergence between histograms. Sell: Histogram crosses below zero or exhibits negative divergence. Confirmation: Match signals with regime background—green for trends, red for ranges. Customization Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity. Adjust color themes and transparency to suit your charts. Tips for Optimal Use Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries. Pairing: Combine with RSI, MACD, or volume indicators for confirmation. Backtesting: Test settings on historical data for asset-specific optimization. Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals. Simulated Performance Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries. Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes. Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise. Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
อินดิเคเตอร์ Pine Script®
โดย insidermike
ZVOL — Z-Score Volume Heatmapⓩ ZVOL transforms raw volume into a statistically calibrated heatmap using Z-score thresholds. Unlike classic volume indicators that rely on fixed MA comparisons, ZVOL calculates how many standard deviations each volume bar deviates from its mean. This makes the reading adaptive across timeframes and assets, in order to distinguish meaningful crowd behavior from random volatility. 📊 The core display is a five-zone histogram, each encoded by color and statistical depth. Optional background shading mirrors these zones across the entire pane, revealing subtle compression or structural rhythm shifts across time. By grounding the volume reading in volatility-adjusted context, ZVOL inhibits impulsive trading tactics by compelling the structure, not the sentiment, to dictate the signal. 🥵  Heatmap Coloration: 🌚 Suppressed volume —  congestion, coiling phases 🩱 Stable flow —  early trend or resting volume 🏀 High activity —  emerging pressure 💔 Extreme —  possible climax or institutional print 🎗️ A dynamic Fibonacci-based 21:34-period EMA ribbon overlays the histogram. The fill area inverts color on crossover, providing a real-time read on tempo, expansion, or divergence between price structure and crowd effort. 💡  LTF Usage Suggestions: • Confirm breakout legs when orange or red zones align with range exits • Fade overextended moves when red bars appear into resistance • Watch for rising EMAs and orange volume to front-run impulsive moves • Combine with volatility suppression (e.g. ATR) to catch compression → expansion transitions 🥂  Ideal Pairings: • OBVX Conviction Bias —  to confirm directional intent behind volume shifts • SUPeR TReND 2.718 —  for directional filters • ATR Turbulence Ribbon —  to detect compression phases 👥 The OBVX Conviction Bias adds a second dimension to ZVOL by revealing whether crowd effort is aligning with price direction or diverging beneath the surface. While ZVOL identifies statistical anomalies in raw volume, OBVX tracks directional commitment using cumulative volume and moving average cross logic. Use them together to spot fake-outs, anticipate structure-confirmed breakouts, or time pullbacks with volume-based conviction. 🔬 ZVOL isn’t just a volume filter — it’s a structural lens. It reveals when crowd effort is meaningful, when it's fading, and when something is about to shift. Designed for structure-aware traders who care about context, not noise.
อินดิเคเตอร์ Pine Script®
โดย TheLeadingIndicator
Fuzzy SMA Trend Analyzer (experimental)[FibonacciFlux]Fuzzy SMA Trend Analyzer (Normalized): Advanced Market Trend Detection Using Fuzzy Logic Theory Elevate your technical analysis with institutional-grade fuzzy logic implementation Research Genesis & Conceptual Framework This indicator represents the culmination of extensive research into applying fuzzy logic theory to financial markets. While traditional technical indicators often produce binary outcomes, market conditions exist on a continuous spectrum. The Fuzzy SMA Trend Analyzer addresses this limitation by implementing a sophisticated fuzzy logic system that captures the nuanced, multi-dimensional nature of market trends. Core Fuzzy Logic Principles At the heart of this indicator lies fuzzy logic theory - a mathematical framework designed to handle imprecision and uncertainty: // Improved fuzzy_triangle function with guard clauses for NA and invalid parameters. fuzzy_triangle(val, left, center, right) => if na(val) or na(left) or na(center) or na(right) or left > center or center > right // Guard checks 0.0 else if left == center and center == right // Crisp set (single point) val == center ? 1.0 : 0.0 else if left == center // Left-shoulder shape (ramp down from 1 at center to 0 at right) val >= right ? 0.0 : val <= center ? 1.0 : (right - val) / (right - center) else if center == right // Right-shoulder shape (ramp up from 0 at left to 1 at center) val <= left ? 0.0 : val >= center ? 1.0 : (val - left) / (center - left) else // Standard triangle math.max(0.0, math.min((val - left) / (center - left), (right - val) / (right - center))) This implementation of triangular membership functions enables the indicator to transform crisp numerical values into degrees of membership in linguistic variables like "Large Positive" or "Small Negative," creating a more nuanced representation of market conditions. Dynamic Percentile Normalization A critical innovation in this indicator is the implementation of percentile-based normalization for SMA deviation: // ----- Deviation Scale Estimation using Percentile ----- // Calculate the percentile rank of the *absolute* deviation over the lookback period. // This gives an estimate of the 'typical maximum' deviation magnitude recently. diff_abs_percentile = ta.percentile_linear_interpolation(math.abs(raw_diff), normLookback, percRank) + 1e-10 // ----- Normalize the Raw Deviation ----- // Divide the raw deviation by the estimated 'typical max' magnitude. normalized_diff = raw_diff / diff_abs_percentile // ----- Clamp the Normalized Deviation ----- normalized_diff_clamped = math.max(-3.0, math.min(3.0, normalized_diff)) This percentile normalization approach creates a self-adapting system that automatically calibrates to different assets and market regimes. Rather than using fixed thresholds, the indicator dynamically adjusts based on recent volatility patterns, significantly enhancing signal quality across diverse market environments. Multi-Factor Fuzzy Rule System The indicator implements a comprehensive fuzzy rule system that evaluates multiple technical factors: SMA Deviation (Normalized): Measures price displacement from the Simple Moving Average Rate of Change (ROC): Captures price momentum over a specified period Relative Strength Index (RSI): Assesses overbought/oversold conditions These factors are processed through a sophisticated fuzzy inference system with linguistic variables: // ----- 3.1 Fuzzy Sets for Normalized Deviation ----- diffN_LP := fuzzy_triangle(normalized_diff_clamped, 0.7, 1.5, 3.0) // Large Positive (around/above percentile) diffN_SP := fuzzy_triangle(normalized_diff_clamped, 0.1, 0.5, 0.9) // Small Positive diffN_NZ := fuzzy_triangle(normalized_diff_clamped, -0.2, 0.0, 0.2) // Near Zero diffN_SN := fuzzy_triangle(normalized_diff_clamped, -0.9, -0.5, -0.1) // Small Negative diffN_LN := fuzzy_triangle(normalized_diff_clamped, -3.0, -1.5, -0.7) // Large Negative (around/below percentile) // ----- 3.2 Fuzzy Sets for ROC ----- roc_HN := fuzzy_triangle(roc_val, -8.0, -5.0, -2.0) roc_WN := fuzzy_triangle(roc_val, -3.0, -1.0, -0.1) roc_NZ := fuzzy_triangle(roc_val, -0.3, 0.0, 0.3) roc_WP := fuzzy_triangle(roc_val, 0.1, 1.0, 3.0) roc_HP := fuzzy_triangle(roc_val, 2.0, 5.0, 8.0) // ----- 3.3 Fuzzy Sets for RSI ----- rsi_L := fuzzy_triangle(rsi_val, 0.0, 25.0, 40.0) rsi_M := fuzzy_triangle(rsi_val, 35.0, 50.0, 65.0) rsi_H := fuzzy_triangle(rsi_val, 60.0, 75.0, 100.0) Advanced Fuzzy Inference Rules The indicator employs a comprehensive set of fuzzy rules that encode expert knowledge about market behavior: // --- Fuzzy Rules using Normalized Deviation (diffN_*) --- cond1 = math.min(diffN_LP, roc_HP, math.max(rsi_M, rsi_H)) // Strong Bullish: Large pos dev, strong pos roc, rsi ok strength_SB := math.max(strength_SB, cond1) cond2 = math.min(diffN_SP, roc_WP, rsi_M) // Weak Bullish: Small pos dev, weak pos roc, rsi mid strength_WB := math.max(strength_WB, cond2) cond3 = math.min(diffN_SP, roc_NZ, rsi_H) // Weakening Bullish: Small pos dev, flat roc, rsi high strength_N := math.max(strength_N, cond3 * 0.6) // More neutral strength_WB := math.max(strength_WB, cond3 * 0.2) // Less weak bullish This rule system evaluates multiple conditions simultaneously, weighting them by their degree of membership to produce a comprehensive trend assessment. The rules are designed to identify various market conditions including strong trends, weakening trends, potential reversals, and neutral consolidations. Defuzzification Process The final step transforms the fuzzy result back into a crisp numerical value representing the overall trend strength: // --- Step 6: Defuzzification --- denominator = strength_SB + strength_WB + strength_N + strength_WBe + strength_SBe if denominator > 1e-10 // Use small epsilon instead of != 0.0 for float comparison fuzzyTrendScore := (strength_SB * STRONG_BULL + strength_WB * WEAK_BULL + strength_N * NEUTRAL + strength_WBe * WEAK_BEAR + strength_SBe * STRONG_BEAR) / denominator The resulting FuzzyTrendScore ranges from -1 (strong bearish) to +1 (strong bullish), providing a smooth, continuous evaluation of market conditions that avoids the abrupt signal changes common in traditional indicators. Advanced Visualization with Rainbow Gradient The indicator incorporates sophisticated visualization using a rainbow gradient coloring system: // Normalize score to for gradient function normalizedScore = na(fuzzyTrendScore) ? 0.5 : math.max(0.0, math.min(1.0, (fuzzyTrendScore + 1) / 2)) // Get the color based on gradient setting and normalized score final_color = get_gradient(normalizedScore, gradient_type) This color-coding system provides intuitive visual feedback, with color intensity reflecting trend strength and direction. The gradient can be customized between Red-to-Green or Red-to-Blue configurations based on user preference. Practical Applications The Fuzzy SMA Trend Analyzer excels in several key applications: Trend Identification: Precisely identifies market trend direction and strength with nuanced gradation Market Regime Detection: Distinguishes between trending markets and consolidation phases Divergence Analysis: Highlights potential reversals when price action and fuzzy trend score diverge Filter for Trading Systems: Provides high-quality trend filtering for other trading strategies Risk Management: Offers early warning of potential trend weakening or reversal Parameter Customization The indicator offers extensive customization options: SMA Length: Adjusts the baseline moving average period ROC Length: Controls momentum sensitivity RSI Length: Configures overbought/oversold sensitivity Normalization Lookback: Determines the adaptive calculation window for percentile normalization Percentile Rank: Sets the statistical threshold for deviation normalization Gradient Type: Selects the preferred color scheme for visualization These parameters enable fine-tuning to specific market conditions, trading styles, and timeframes. Acknowledgments The rainbow gradient visualization component draws inspiration from LuxAlgo's "Rainbow Adaptive RSI" (used under CC BY-NC-SA 4.0 license). This implementation of fuzzy logic in technical analysis builds upon Fermi estimation principles to overcome the inherent limitations of crisp binary indicators. This indicator is shared under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. Remember that past performance does not guarantee future results. Always conduct thorough testing before implementing any technical indicator in live trading.
อินดิเคเตอร์ Pine Script®
โดย FibonacciFlux
Percent Change HistogramThis indicator shows you percent changes in a super visual way using a color-coded histogram. Here's how the colors work: 🟩 Dark green = percent change is growing stronger 🟢 Light green = still positive but losing steam 🟥 Dark red = getting more negative 🔴 Light red = negative but improving The cool part? You can set any lookback period you want. For example: 24 periods on 1H chart = last 24 hours 30 periods on daily = last month 7 periods on daily = last week Pro tip: You're not locked to your chart's timeframe! Want to see monthly changes while trading on 5min? No problem. You can even stack multiple indicators to watch different intervals simultaneously (daily, weekly, monthly) - super helpful for multi-timeframe analysis. Perfect for spotting momentum shifts across different timeframes without switching between charts.
อินดิเคเตอร์ Pine Script®
โดย strimaitis
Market Performance by Yearly Seasons [LuxAlgo]The Market Performance by Yearly Seasons tool allows traders to analyze the average returns of the four seasons of the year and the raw returns of each separate season. 🔶 USAGE By default, the tool displays the average returns for each season over the last 10 years in the form of bars, with the current session highlighted as a bordered bar. Traders can choose to display the raw returns by year for each season separately and select the maximum number of seasons (years) to display. 🔹 Hemispheres Traders can select the hemisphere in which they prefer to view the data. 🔹 Season Types Traders can select the type of seasons between meteorological (by default) and astronomical. The meteorological seasons are as follows: Autumn: months from September to November Winter: months from December to February Spring: months from March to May Summer: months from June to August The astronomical seasons are as follows: Autumn: from the equinox on September 22 Winter: from the solstice on December 21 Spring: from the equinox on March 20 Summer: from the solstice on June 21 🔹 Displaying the data Traders can choose between two display modes, average returns by season or raw returns by season and year. 🔶 SETTINGS Max seasons: Maximum number of seasons Hemisphere: Select NORTHERN or SOUTHERN hemisphere Season Type: Select the type of season - ASTRONOMICAL or METEOROLOGICAL Display: Select display mode, all four seasons, or any one of them 🔹 Style Bar Size & Autofit: Select the size of the bars and enable/disable the autofit feature Labels Size: Select the label size Colors & Gradient: Select the default color for bullish and bearish returns and enable/disable the gradient feature
อินดิเคเตอร์ Pine Script®
โดย LuxAlgo
1