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Swing Failure Pattern [ SFP ] - FloAlgoThis indicator detects Swing Failure Patterns (SFP) — a Smart Money Concepts technique that identifies liquidity sweeps followed by a Change in State of Delivery (CISD), signaling potential price reversals. How It Works The script operates in three stages: Liquidity Sweep Detection — Identifies when price briefly breaks above a pivot high or below a pivot low, sweeping resting liquidity beyond those levels. CISD Confirmation — Validates the sweep by detecting a Change in State of Delivery: a candle close that reverses back through a key open level, confirming institutional rejection. Signal Trigger — A bullish or bearish SFP signal is confirmed only when both the sweep and CISD occur within the defined patience window, reducing false positives significantly. Exit System — 5-Layer Logic Rather than relying on a fixed take profit, this script uses a dynamic multi-layer exit system designed to protect capital and lock in gains: Initial Stop Loss — Set at the high/low of the signal candle for immediate invalidation Trailing Stop — Tracks extreme price movement and trails by ATR × multiplier, activating after a minimum number of bars to avoid premature exits Reversal Candle — Exits on an opposing engulfing candle once the trade is in motion Timeout — Hard exit after a maximum number of bars Trend Flip — Exits if CISD confirms a full trend reversal against the position Visual Elements Dashed lines marking swept pivot levels Solid CISD level lines from origin to signal bar Dotted stop loss projection lines Dynamic trailing stop plotted as a step line Bar coloring active while a signal is live ▲ / ▼ signal labels on the chart Key Settings ParameterDescriptionPivot Detection LengthSensitivity of pivot high/low detectionMax Pivot EdgeMaximum bar distance for a valid sweepPatienceMax bars between sweep and CISD for signal confirmationTrend Noise FilterTolerance ratio to filter weak CISD movesTrailing Stop MultiplierATR multiplier controlling trailing stop tightnessMin Bars Before TrailingGrace period before trailing stop activates.
Wskaźnik Pine Script®
od FloAlgo
Squeeze Bollinger Bands Tracker [MarkitTick]💡 This institutional-grade analysis suite provides a sophisticated volatility-tracking environment designed to identify market compression phases and high-conviction breakouts. By integrating Bollinger Band standard deviation logic with Z-Score normalization and a non-linear sigmoid volatility engine, the script transforms raw price action into a multi-dimensional heatmap. This approach allows traders to distinguish between low-volatility "coiling" phases and institutional-driven momentum expansions, providing a clear visual representation of market energy. ● ✨ Originality and Utility The Squeeze Bollinger Bands Tracker distinguishes itself through the implementation of a proprietary "Signal Engine" and a non-linear volatility grading system. Unlike standard Bollinger Band indicators that merely plot static lines, this tool actively monitors the rate of change in channel width relative to its own historical standard deviation. • Dynamic Volatility Normalization Most indicators rely on linear calculations that fail to account for the exponential nature of market expansion. This script utilizes a Z-Score calculation to determine how extreme a volatility move is compared to its history, then maps that value through a sigmoid function. This creates a "Heatmap" effect on the candles that reflects institutional participation levels rather than simple price movement. • Institutional Breakout Grading The utility is further enhanced by an automated grading system (Grades A, B, and C). By cross-referencing price spread (the distance between open and close) with actual volume metrics during a breakout, the script provides an objective measure of signal quality, helping traders filter out "fakeouts" that lack volume support. ● 🔬 Methodology and Concepts The logic flow is divided into three core analytical pillars: Compression Detection, Momentum Normalization, and Signal Verification. • Compression Detection (The Squeeze) The script calculates the percentage-based width of the Bollinger Bands. When the current width falls below its SMA-based average, the market is classified as being in a "Squeeze" state. This signifies a period where market energy is being stored, often preceding a significant directional expansion. • Sigmoid-Mapped Z-Score Volatility To provide the neon heatmap coloring, the script calculates the Z-Score of the channel width. This tells us how many standard deviations the current volatility is from the mean. This Z-Score is then processed through a Sigmoid Function: 100 / (1 + exp(-Z-Score)). This mathematical transformation squashes the infinite Z-Score range into a 0–100 scale, creating a smooth gradient for the "True Institutional Heatmap." • Breakout Validation Engine Signals are not generated simply on a price cross. The Signal Engine (a custom User-Defined Type) calculates real-time Entry, Stop Loss (based on the previous basis line), and Take Profit levels. During the moment of crossover, the "calcGrade" method evaluates if the current bar's spread and volume are at least 150% of their historical averages to assign a Grade A "Institutional" breakout. ● 🎨 Visual Guide The visual interface is designed with a high-contrast "3D Neon" aesthetic to ensure critical data points are immediately recognizable during fast-moving market conditions. • The 3D Neon Channels Upper Core & Glow: The upper Bollinger Band is rendered in Cyan (#00FFFF). It features three layers: a 2-pixel core for precision and two wider "Glow" layers with varying transparency (60% and 85%) to create a neon effect. Lower Core & Glow: The lower band is rendered in Magenta (#FF00FF), following the same three-layer glow architecture to signify the support boundary. Basis Core: The central moving average is rendered in Yellow (#FFFF00), acting as the dynamic mean and the primary stop-loss anchor. • True Institutional Heatmap Candles The candle colors are not fixed; they represent a gradient based on the Sigmoid Volatility score. Bullish State: Transitions from a deep "Cold" Forest Green (#004D40) during low-volatility rises to a "Hot" Neon Green (#00FF00) during high-momentum surges. Bearish State: Transitions from a deep "Cold" Purple (#4A148C) during low-volatility drops to a "Hot" Neon Red (#FF0000) during aggressive sell-offs. Neutral State: Gray (#808080) candles appear when no definitive trend state is identified by the Signal Engine. • Analytical Dashboard and Labels Buy/Sell Labels: When a breakout occurs, a Cyan or Magenta label appears. It displays the signal Grade (A, B, or C) and the calculated E (Entry), TP (Take Profit), and SL (Stop Loss) values. Institutional Analytics Dashboard: Located in the top-right, this table provides real-time data on Trend Maturity (in bars), Volatility State (Squeeze vs. Expanding), and the percentage proximity to the upper and lower breakout levels. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator is built upon the foundation of Statistical Process Control and Information Theory. By treating price movement as a signal-to-noise problem, the script uses the following frameworks: • Standard Deviation and Gaussian Distribution The core of the Bollinger Band calculation relies on the assumption that price spends approximately 95% of its time within two standard deviations of the mean. The "Squeeze" logic identifies periods where the distribution is abnormally tight, suggesting an imminent return to the mean or a "Fat Tail" event (a breakout). • Z-Score Normalization In statistics, the Z-Score is used to compare observations from different data sets or time periods. By applying Z-Score logic to the width of the bands, the indicator removes the "unit" of price and focuses purely on the intensity of the volatility, allowing for a standardized comparison across different assets (e.g., Bitcoin vs. Apple). • Non-Linear Sigmoid Mapping The use of the Sigmoid function (common in Neural Network activation) serves to eliminate outliers in volatility data. This ensures that the candle heatmap provides meaningful color variations even during extreme "Black Swan" events, preventing the visual output from becoming saturated or unreadable. ● 📖 How to Use Traders should focus on the transition between market states as displayed by the Analytics Dashboard and the Heatmap. • Step 1: Identify the Squeeze Monitor the "Volatility State" in the dashboard. When it displays "⚠️ SQUEEZE" in Neon Orange, the market is coiling. This is the preparation phase where no trades should be taken. • Step 2: Evaluate the Breakout Grade Wait for a "BUY" or "SELL" label to appear. Priority should be given to "Grade A" signals, as these indicate that both price spread and volume have significantly exceeded their 20-period averages, confirming institutional intent. • Step 3: Execution and Risk Management Upon a valid signal, the script provides an automated trade plan. The Stop Loss is set at the Basis (Yellow) line from the previous bar to allow for minor breathing room, while the Take Profit is projected at a 1:1 ratio relative to the width of the band at the time of entry. ● ⚙️ Inputs and Settings The script provides granular control over the analytical engine and the visual experience. • Channel Settings Channel Length: Controls the SMA window for the Bollinger Bands (Default: 20). Standard Deviation Multiplier: Adjusts the width of the neon boundaries (Default: 2.0). • Analytics Settings Squeeze/Z-Score Length: Determines the lookback period used to define what constitutes "average" volatility (Default: 50). Quality SMA Length: Defines the window for the Grade A/B/C volume and spread verification (Default: 20). • Color and Heatmap Settings Users can fully customize the Neon Upper/Lower colors, the Dashboard background transparency, and the specific "Cold" and "Hot" thresholds for the candle gradient engine to match their preferred dark or light chart theme. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Wskaźnik Pine Script®
od MarkitTick
Concordance Regime Synthesis [JOAT]Concordance Regime Synthesis Introduction Concordance Regime Synthesis is an open-source strategy framework that combines regime state, pressure, participation, structure, and higher-timeframe bias into one non-repainting confluence model. The strategy is designed to avoid single-factor entries by requiring multiple independent conditions to align before risk is deployed. Core Concepts 1. Multi-factor confluence scoring Long and short setups are scored independently using regime direction, normalized price pressure, participation-axis deviation, delta behavior, recent structure, and optional higher-timeframe bias. 2. Regime-aware execution Entries only occur when directional confluence exceeds a threshold and the score spread clearly favors one side. 3. ATR-based risk handling Stops, targets, and optional trailing logic are all derived from ATR so the strategy adapts to volatility instead of using fixed-tick assumptions. Strategy Properties Initial capital: 10,000 Order size: 10% of equity per trade Commission: 0.06% Slippage: 1 tick Pyramiding: 0 Orders processed on close Originality Statement This strategy is original in its use of a confluence gate that requires independent agreement from regime, pressure, delta, participation, structure, and optional HTF alignment before entries are allowed. It is published as an educational framework for multi-factor strategy construction rather than as a promise of future performance. Disclaimer This strategy is for educational and informational purposes only. Backtest results depend on symbol, timeframe, market regime, and execution assumptions. Historical results do not guarantee future returns. Always validate assumptions and use realistic risk controls.
Strategia Pine Script®
od officialjackofalltrades
Reversal Scalper - Adib NooraniThe Reversal Scalper is an indicator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic along with ATR bands, to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points. 🔹 Smooth, noise-reduced stochastic oscillator 🔹 Custom zones to highlight potential supply and demand imbalances 🔹 Non-repainting, compatible across all timeframes and assets 🔹 Visual-only tool — intended to support discretionary trading decisions This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties. 📘 How to Use the Indicator Efficiently For Reversal Trading: Buy Setup – When the blue line dips below the 20 level, wait for it to re-enter above 20. – Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star). – Enter above the pattern’s high, with a stop loss below its low. Sell Setup – When the blue line rises above the 80 level, wait for it to re-enter below 80. – Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star). – Enter below the pattern’s low, with a stop loss above its high. 🛡 Risk Management Guidelines Risk only 0.5% of your capital per trade Book 50% profits at a 1:1 risk-reward ratio Remaining 50% at 1:2 risk-reward ratio
Wskaźnik Pine Script®
od AdibNoorani
Smart Trader, Episode 06, Isotropic Trend Lines🔷 WHAT IS ST-EP06 — ISOTROPIC TREND LINES? ST-EP06 is a multi-scale structural trend channel indicator built on a σ-normalized coordinate system. It is designed to solve one of the oldest unaddressed problems in technical analysis: trend angles that cannot be compared across instruments, timeframes, or volatility regimes. A trend line drawn on a chart appears to carry a measurable angle — yet that angle is an artifact of the display window, not a property of the market. Resize the chart horizontally and the slope flattens; compress it and the slope steepens. A given price movement on Gold daily and Bitcoin 1-hour may produce visually identical slopes on screen while reflecting entirely different structural conditions. This happens because traditional charts use a coordinate space where the vertical axis (price) and the horizontal axis (time) share no fixed dimensional relationship. The consequence is not merely cosmetic. A trader cannot meaningfully compare the steepness of a trend on one instrument with another — or even across timeframes on the same instrument — because the weight of "one unit of price per bar" varies with the instrument's current volatility. As the author of this indicator, I sought a coordinate system where trend angles would be an intrinsic structural property of the market, independent of charting software or display settings. The goal: a space where a 30° uptrend on EUR/USD weekly carries the same structural meaning as a 30° uptrend on NASDAQ 5-minute — indicating that each market is moving at the same rate relative to its own realized volatility. The solution draws on the principle of dimensional analysis, well established in physics and engineering. Just as the Reynolds number normalizes fluid flow to make behavior comparable across different pipe sizes and fluid viscosities, this indicator normalizes price movement by realized volatility, producing a dimensionless space we call the Isotropic Coordinate System (ICS). In ICS, price is expressed in natural logarithmic form and scaled by a volatility estimate (σ) derived from the Yang-Zhang (2000) method — a drift-invariant estimator that incorporates Open, High, Low, and Close data. The resulting vertical axis is dimensionless: one unit equals one standard deviation of recent realized price behavior. When trend angles are measured in this space, 45° indicates approximately one σ of movement per bar — whether the chart shows a penny stock, a major currency pair, or a commodity index. Traditional chart coordinates assign no fixed relationship between the price axis and the time axis. Resizing the chart window changes the visual slope of the same price movement — a compressed view may show 52° while a stretched view of the same data shows 25°. The angle is a display artifact, not a market property. The Isotropic Coordinate System (ICS) addresses this by normalizing log-price by realized volatility (σ). In this space, the trend angle is designed to remain constant regardless of how the chart is displayed — because it measures price displacement in units of σ per bar, not in pixels per pixel. 🔷 HOW THE MODULES WORK TOGETHER ST-EP06 operates as a deterministic pipeline where each stage consumes the output of the one before it: Realized volatility estimation (σ) → Structural block construction → Monotonic direction detection → ICS angle measurement → Channel boundary fitting → Six-scale parallel analysis → Consensus aggregation → Breakout and retest state tracking → Dashboard narrative generation The Yang-Zhang σ provides the normalization constant for every downstream computation. Price history is then partitioned into structural blocks, each distilled to a single central tendency that resists close-price bias. Consecutive block centers are compared to identify the longest uninterrupted directional segment. The slope of that segment, measured in σ-normalized space, yields the ICS angle. Four price extremes located within the segment define two log-linear channel boundaries. This complete pipeline runs independently at six temporal scales, and their independent outputs are aggregated into a structural consensus. A finite-state machine then tracks the evolving relationship between price and the primary channel — breakout, retest, confirmation, or failure — and translates it into a single-line human-readable narrative. ST-EP06 operates as a deterministic sequential pipeline. Yang-Zhang volatility (σ) provides the normalization constant that flows into every downstream stage. Price history is partitioned into structural blocks, each reduced to a geometric mean. The longest monotonic segment determines direction, and its slope in σ-normalized space yields the ICS angle. Four price extremes define the channel boundaries. This complete pipeline runs independently at six scales — 3, 7, 13, 19, 29, and 47 bars per block — all prime numbers, chosen to minimize harmonic overlap so that multiple scales are unlikely to lock onto the same cyclical artifact. Scale 19 (highlighted) serves as the primary engine: it is the only scale that maps to the user's Trend Block Period input, and the only scale whose output drives the chart-overlay channel lines, the projection, the diamond markers, and the breakout/retest state machine. The other five scales operate at fixed periods and contribute exclusively to the cross-scale consensus count — providing structural context that a single scale cannot offer alone. When 5 or 6 of the 6 scales agree on direction, it suggests a structural trend visible across a broad range of temporal resolutions. 🔷 DATA ANCHORING Every structural computation in ST-EP06 — volatility, block means, direction, channel coordinates, state machine transitions, and dashboard narrative — is governed by a single anchoring reference, selected through the Calculation Bar input. Live Bar mode (default): the anchor is the current forming bar. Values update with each incoming tick. This is standard TradingView behavior and means the indicator may exhibit intra-bar repaint — the live bar's data enters all computations as it evolves. Close Bar mode: the anchor shifts to the last fully confirmed (closed) bar. The forming bar is excluded from every computation. Values lock once a bar closes and do not change retroactively. This mode is intended for structural analysis, back-testing, and any workflow where historical consistency is a priority. One deliberate exception is maintained in both modes: the dashboard header always displays the current live closing price (Live Exception protocol), preserving real-time price awareness regardless of how the indicator's structural engine is anchored. Two modes, same chart moment. In Live Bar the anchor sits on the forming bar, so every value updates tick-by-tick and may repaint within the bar. In Close Bar the anchor shifts to the last closed bar, locking all structural values once the bar closes. The only exception is the dashboard header row, which always displays the live closing price in both modes, so real-time price awareness is never lost. 🔷 YANG-ZHANG VOLATILITY (σ) The foundation of the ICS is a robust volatility estimate. ST-EP06 uses the Yang-Zhang (2000) realized volatility estimator, an academically established method that combines three variance components: Overnight variance — capturing the gap between consecutive sessions, measured from the prior close to the current open. Intraday variance — capturing the movement from open to close within each session. Range-based variance — using the Rogers-Satchell (1991) estimator, which extracts additional information from the high and low prices without assuming zero drift. These three components are blended using an optimal weight that is designed to minimize estimation error. The resulting σ updates every bar, adapts to changing market conditions, and — crucially — is drift-invariant: it is intended to remain unbiased whether the market is trending strongly or mean-reverting. 🔷 BLOCK CONSTRUCTION Rather than analyzing individual bars, ST-EP06 partitions recent price history into consecutive non-overlapping blocks. Each block spans a user-defined number of bars (the Trend Block Period input) and is reduced to a single representative value: the geometric mean of the block's highest high and lowest low, computed in logarithmic space. This log-midpoint serves as the block's central tendency. Unlike a simple average of closing prices, it captures the structural center of the entire price range within the block, avoiding bias toward any single price point. The number of consecutive blocks compared is controlled by the Trend Block Groups input — more groups means deeper lookback and the ability to detect longer structural trends. Price history is partitioned into consecutive non-overlapping blocks. Each block reduces to a single log-midpoint — the geometric mean of its highest high and lowest low. Connecting the midpoints forms the representative chain used for trend detection. 🔷 DIRECTION DETECTION + ICS ANGLE Once blocks are constructed, the engine compares their geometric means in sequence, starting from the most recent. It identifies the longest consecutive segment where each block's central tendency moves in the same direction — either consistently rising or consistently falling. A single reversal terminates the segment. The slope of this segment is then measured in ICS space: the logarithmic price difference between the oldest and newest blocks in the segment, divided by σ, divided by the number of bars between them. The arctangent of this normalized slope produces the ICS angle in degrees. If the absolute angle falls within the Range Threshold (a user-configurable dead zone in degrees), the direction is classified as ranging rather than trending. This threshold acts as a sensitivity filter — wider values require steeper moves before declaring a trend, narrower values respond to subtler directional shifts. An ICS angle of 45° indicates approximately one σ of price movement per bar. An angle near 0° suggests the market may be structurally flat. Because σ adjusts for volatility and the logarithm adjusts for price level, these angles are intended to be directly comparable across any instrument and any timeframe. 🔷 CHANNEL FITTING Within the identified trending segment, the engine locates four price extremes: the highest high, the lowest high, the highest low, and the lowest low — each paired with its bar position. These four points define two linear boundaries in ICS space. During an uptrend, the upper boundary is fitted through the lowest high and highest high (capturing the rising ceiling), while the lower boundary is fitted through the lowest low and highest low (capturing the rising floor). During a downtrend, the fitting order reverses to capture descending structure. During a ranging market, the channel uses horizontal boundaries at the segment's absolute high and low. All boundary computations occur in the σ-normalized logarithmic coordinate system, meaning the channel lines represent geometric (log-linear) paths in price space — curves that naturally follow multiplicative price behavior rather than additive assumptions. Within the trending segment, four extremes — HH, LH, HL, LL — define two log-linear boundaries. In an uptrend, the upper line fits through LH and HH, the lower through LL and HL. The direction reverses the fitting order for downtrends, and a ranging market uses horizontal boundaries. 🔷 6-SCALE PARALLEL ANALYSIS A single temporal scale may capture the trend at one resolution but miss structure at others. ST-EP06 runs the complete pipeline — volatility normalization, block construction, direction detection, ICS angle, and channel fitting — independently at six different scales: 3, 7, 13, 19, 29, and 47 bars per block. These values were chosen as prime numbers to minimize harmonic overlap between scales. Scale 19 serves as the primary engine and maps to the user's Trend Block Period input. The other five scales use fixed periods, providing a structural context that the primary engine alone cannot offer. The dashboard displays each scale's independent trend direction. A consensus count shows how many of the six scales agree: 5/6 or 6/6 agreement suggests a structural trend that is visible across multiple temporal resolutions, while low agreement may indicate transitional or conflicting structure. 🔷 BREAKOUT / RETEST STATE MACHINE ST-EP06 includes a 5-state finite automaton that tracks price's structural relationship to the primary channel boundaries: Inside — price is observed between the channel floor and ceiling. The dashboard shows the position as a percentage: distance from floor and distance to ceiling (summing to 100%). Breakout Up / Breakout Down — price has exited above the ceiling or below the floor. The dashboard shows the breakout price and the percentage of channel width that price has moved beyond the boundary. Retest Up / Retest Down — after a breakout, price has moved at least one σ away from the boundary (establishing distance), then returned to test it. The dashboard shows both the original breakout price and the current retest level. Transitions between states use dynamic σ-based thresholds rather than fixed percentages, meaning the sensitivity automatically adjusts with market volatility. Additional flags track: ✓ Confirmed — a breakout that has been retested and bounced at least one σ away from the boundary. (gap) — price crossed the entire channel width in a single transition. Failed breakout — price re-entered the channel after initially breaking out. Direction reset — the primary trend direction changed, wiping all breakout state. 🔷 VISUAL TOOLS All chart-overlay elements are drawn from the primary engine (scale 19): Channel lines — solid upper and lower boundaries from the segment start to the anchor bar, colored by trend direction (configurable up/down/range colors, width, and line style). Projection lines — dotted forward extension of the channel slopes beyond the anchor bar, providing a visual reference for potential future support and resistance. The projection offset, width, and style are independently configurable. Channel fill — semi-transparent shading between channel boundaries, with independent color selection and adjustable transparency. Applies to both the solid channel and projection segments. Diamond markers (◆) — placed at the channel endpoints on the anchor bar. Hovering reveals a tooltip with the anchored close price, ceiling level, floor level, and the price's position as a percentage of channel width. Direction label — positioned at the midpoint between segment start and projection end. Displays the trend arrow, direction text, and ICS angle (e.g., "▲ UP +7.3°"). Tooltip includes block count. 🔷 DASHBOARD A compact information table appears at the top-right corner of the chart, organized in 5 rows: Header — indicator name, ticker symbol, timeframe, and live price (always live under the Live Exception protocol, even in Close Bar mode). Period — the six scale values (3, 7, 13, user's period, 29, 47) displayed across columns. The primary engine column is highlighted. Trend — per-scale trend direction with directional arrows (▲ UP, ▼ DN, ◈ RNG) and color coding. Agreement — consensus count (e.g., "5/6 UP") with the primary channel ceiling (▲) and floor (▼) price levels. Narrative — a single merged row presenting the breakout/retest state machine output as a human-readable sentence with distance measurements. This row updates dynamically as price interacts with the channel. All dashboard text, tooltips, and narrative phrases are fully localized. 🔷 ALERT CONDITIONS ST-EP06 provides 19 alert conditions organized in 5 categories, all gated by a master Enable Alerts toggle: D · Direction (3 alerts) — fires when the primary engine trend changes to uptrend, downtrend, or range. B · Breakout (4 alerts) — fires on initial breakout above ceiling or below floor, and separately on confirmed breakout (retested and bounced). R · Retest (2 alerts) — fires when price returns to test the boundary after establishing distance. S · Structural (5 alerts) — fires on gap-through events (price crosses entire channel), failed breakouts (price re-enters channel), and direction resets (trend change wipes state). A · Agreement (5 alerts) — fires when cross-scale consensus reaches significant thresholds: full bullish (6/6), strong bullish (5/6), full bearish (6/6), strong bearish (5/6), or range consensus (≥4/6). Important: alerts require Calculation Bar = Live Bar. In Close Bar mode, all alert conditions are automatically suppressed and a visual warning is displayed on the chart — because Close Bar mode intentionally lags by one bar, which is semantically incompatible with live alert delivery. 🔷 LANGUAGE SUPPORT The dashboard, all tooltips, the breakout/retest narrative, and the alert warning label are available in 7 languages: English · Türkçe · العربية · Русский · Italiano · Português (BR) · 中文 Select the preferred language from the Language dropdown in the Display settings group. All structural and numerical outputs remain unchanged — only the display language of text elements is affected. 🔷 HOW TO USE Apply ST-EP06 to any chart — the indicator is designed to work across instruments (equities, forex, crypto, commodities, indices) and timeframes without parameter re-optimization, because the ICS framework normalizes for volatility and price level automatically. Start with the default settings (Period 26, Groups 5, Sigma Length 20) and observe how the channel captures the dominant structural trend. The 6-scale consensus in the dashboard may help assess whether the observed trend is isolated to one temporal resolution or confirmed across multiple scales. The Calculation Bar setting is a structural decision: use Live Bar for real-time monitoring and alert-driven workflows; use Close Bar for analysis and back-testing where historical stability is prioritized. The ICS angle on the direction label provides a quantitative measure of trend intensity. Comparing angles across different instruments or timeframes is one of the intended use cases of the ICS framework — a 15° angle on one chart and a 15° angle on another may suggest similar structural momentum relative to each market's own volatility. The breakout/retest narrative in the dashboard bottom row is designed to provide context-rich status updates without requiring manual chart reading. The σ-based thresholds ensure that breakout sensitivity adapts to current market conditions rather than relying on fixed values. 🔷 SETTINGS Calculation — Calculation Bar (Live/Close Bar anchoring), Trend Block Period (bars per block), Trend Block Groups (consecutive blocks compared), Range Threshold (ICS dead zone in degrees), Yang-Zhang Sigma Length (volatility lookback). Channel Lines — Up Color, Down Color, Range Color, Line Width, Line Style. Projection Lines — Projection Offset (forward bars), Projection Width, Projection Style. Display — Language (7 options), Show Channel (toggle overlay), Show Fill (toggle shading), Show Dashboard (toggle table), Dashboard Font Size. Channel Fill — Fill Up Color, Fill Down Color, Fill Range Color, Fill Transparency. Alerts — Enable Alerts (master toggle, requires Live Bar mode). 🔷 DISCLAIMER ST-EP06 is an educational and analytical tool. It is designed to provide structural context through σ-normalized trend channels and multi-scale analysis. It does not generate buy or sell signals, does not predict future price movement, and is not intended as financial advice. Historical patterns observed through this indicator do not guarantee future outcomes. All trading decisions remain the sole responsibility of the trader.
Wskaźnik Pine Script®
od ata_sabanci
24
Dynamic FibTrend Signals [MarkitTick]💡 This indicator represents an advanced multi-layered analytical framework designed to synchronize trend identification with structural market geometry. By integrating adaptive trend-following logic with automated price action mapping, the tool serves as a comprehensive dashboard for traders seeking to identify high-probability entry zones. It solves the common problem of "indicator clutter" by condensing volatility-adjusted trend direction, swing structure recognition, and Fibonacci retracement depth into a single, cohesive visual interface that provides real-time trade execution levels based on current market volatility. ● ✨ Originality and Utility The primary utility of this script lies in its ability to bridge the gap between momentum-based trend following and static price levels. While many scripts focus on a single aspect of technical analysis, this indicator utilizes a synergistic approach: It combines the volatility-sensitive nature of SuperTrend with the objective structural points of Pivot Highs and Lows. It automates the projection of Fibonacci retracement levels based on a dynamic lookback period, ensuring that support and defense zones are always relevant to recent price action. Unlike standard tools that leave the user to determine their own risk, this system automatically calculates a suggested entry, stop loss, and multiple target levels using Average True Range (ATR) to adjust for current market volatility. ● 🔬 Methodology and Concepts The core engine operates on a tripartite logic system: Trend Quantification: The system employs an Average True Range (ATR) calculation multiplied by a specific factor to create a dynamic band around the price. This determines the prevailing bias (Bullish or Bearish) and filters out market noise. Structural Mapping: Through a pivot-point algorithm, the script identifies "Swing" levels. These are points where the market has shown significant rejection, helping to define the current trading range. Risk Geometry: Upon a trend shift (signal), the script calculates trade levels. The Entry is based on the previous bar's close, while the Stop Loss and Profit Targets are mathematically derived from the ATR. This ensures that the risk-to-reward ratio remains consistent regardless of whether the market is in a high or low-volatility state. ● 🎨 Visual Guide The chart interface is designed for high legibility, using distinct color coding and shapes to signify different market states: SuperTrend Line: A continuous line that turns Green during bullish momentum and Red during bearish momentum. The area between this line and the price is filled with a subtle transparency to highlight the "trend cloud." Signal Arrows: Bright green "BUY" arrows appear below the bars for bullish transitions, and red "SELL" arrows appear above the bars for bearish transitions. Swing Markers: Small orange downward triangles mark Swing Highs, while blue upward triangles mark Swing Lows. These are accompanied by dashed horizontal lines projecting the price level forward. Fibonacci Grid: A series of purple dotted horizontal lines representing key retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%). These levels provide context for potential pullbacks within the main trend. Trade Execution Box: When a signal is generated, a yellow entry box appears along with three distinct lines: Yellow Line: The specific Entry price. Green Dashed Line: The Target (Take Profit) level. Red Dashed Line: The Stop Loss level. Info Table: A professional-grade data table in the top-right corner summarizes the current trend status, the most recent swing levels, and the active trade coordinates for quick reference. ● 📖 How to Use Trend Identification: Observe the color of the SuperTrend line. If the line is green and the price is above it, focus on long opportunities. If red, focus on shorts. Confirmation: Look for signals where the SuperTrend flip aligns with a bounce off a Fibonacci level (specifically the 50% or 61.8% "Golden Pocket"). Execution: When a "BUY" or "SELL" arrow appears, refer to the yellow entry zone. The script projects these levels 40 bars into the future to allow for trade planning. Exit Strategy: Use the target line for profit-taking and the red stop-loss line for capital protection. The 2:1 risk-to-reward ratio is the default, but this can be adjusted in the settings. ● ⚙️ Inputs and Settings ⚡ SuperTrend: Adjust the ATR Length and Factor. A higher factor makes the trend slower and more resilient to whipsaws, while a lower factor makes it more sensitive. 🔄 Swing High / Low: Define the lookback period for pivot detection. Increasing this value will only identify major market turns. 📐 Fibonacci Retracement: Change the lookback bars for the Fibonacci grid. This determines the "height" of the range being measured. 🎯 Trade Levels: Set your desired Risk-to-Reward ratio (default is 2.0). You can also toggle the visibility of the entry, target, and stop lines. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The indicator is built upon the "Volatility Clustering" theory, which suggests that market volatility is not constant but occurs in bursts. By using ATR-based thresholds, the indicator applies a statistical filter that expands and contracts based on realized variance. The swing detection logic utilizes a "Windowed Extrema" approach, which is a fundamental concept in time-series analysis for identifying local maxima and minima within a defined temporal window. Furthermore, the integration of Fibonacci ratios (specifically the 0.618 Golden Mean) incorporates elements of fractal geometry and Elliott Wave theory, positing that market corrections often move in proportions derived from the Fibonacci sequence. The final trade execution component utilizes a fixed-fractional risk management model, ensuring that trade parameters are mathematically optimized for the current market environment rather than being based on arbitrary price distances. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Wskaźnik Pine Script®
od MarkitTick
3
Bernoulli Process: Trend Probability & Entropy [MarkitTick]💡 This technical indicator introduces a rigorous probabilistic framework to the evaluation of market regimes by modeling price fluctuations as a Bernoulli Process. Unlike traditional oscillators that merely measure the magnitude of price movement, this script treats every bar as a discrete "trial" that either succeeds or fails based on specific conditions—such as directional price action, momentum thresholds, or trend alignment. By applying Information Theory and the principles of Maximum Likelihood Estimation (MLE), the script quantifies not just the direction of the market, but the statistical reliability and the "noise" content of the current sequence. This allows traders to distinguish between a structured trend and high-entropy market "chop," providing a level of objective clarity often missing in standard technical analysis. ● ✨ Originality and Utility The primary innovation of this script lies in its transition from deterministic price tracking to stochastic regime modeling. Most indicators suffer from the "binary trap," where they simply tell a trader if price is above or below a level without assessing the statistical significance of that state. • Quantifying Market Information By integrating Shannon’s Binary Entropy, the script measures the uncertainty inherent in a price sequence. When entropy is near 1.0, the market is in a state of maximum uncertainty (effectively a fair coin toss), signaling that a trader should likely avoid the "noise." Conversely, low entropy values indicate a high-information state where one side of the Bernoulli trial is dominating, suggesting a persistent trend. • Adaptive Definition of Success The script is not limited to a single logic; it allows the user to define what constitutes a "Success" in the Bernoulli trial. Whether you prioritize raw price action (Close > Open), momentum (RSI > 50), or trend-following (Price > Moving Average), the underlying probabilistic engine remains consistent, making it a versatile tool for various trading styles. • Z-Score Significance Testing It applies a Central Limit Theorem (CLT) approximation to calculate a Z-Score. This tells the trader how many standard deviations the current trend is away from a random walk (p=0.5). This provides a mathematical filter to avoid entering "trends" that are actually within the bounds of statistical randomness. ● 🔬 Methodology and Concepts The script operates through a four-stage mathematical pipeline that converts raw market data into probabilistic metrics. • Stage 1: The Bernoulli Trial (I) The foundation is the indicator variable (I). On every bar, the script evaluates a boolean condition. If the condition is met, the trial is a "Success" (1.0); otherwise, it is a "Failure" (0.0). This transforms complex candles into a simple binary sequence: {1, 0, 1, 1, 0...}. • Stage 2: Probability Estimation (p-hat) Using a rolling window of length N, the script calculates the Maximum Likelihood Estimate (MLE) of the probability parameter 'p'. This is essentially the sample mean of the successes within the window. A value of 0.7 suggests that in the last N trials, 70% were successful. • Stage 3: Binary Entropy Calculation The script calculates Entropy H(p) using the formula: H(p) = -p * log2(p) - (1-p) * log2(1-p) This provides a metric for "Trend Quality." If p is 0.5 (random), H(p) is 1.0 (maximum noise). If p is 1.0 or 0.0 (perfect trend), H(p) is 0.0 (maximum order). • Stage 4: Volatility-Adjusted Z-Score To determine if a sequence is truly anomalous, the script calculates the standard deviation of a fair process and compares the observed deviations to this baseline. This identifies "Significant Trends" that are mathematically distinct from a 50/50 random distribution. ● 🎨 Visual Guide The visual interface is designed to communicate complex statistical data through intuitive color-coded cues. • The Bernoulli Probability Line The main plot is a continuous line representing the estimated probability (p). A value above 0.5 indicates a bullish bias (p-hat > 0.5). A value below 0.5 indicates a bearish bias (p-hat < 0.5). • Dynamic Entropy Coloring The line does not just change color based on direction; it changes based on certainty. Vibrant Green: Strong bullish trend with low entropy (High Certainty). Vibrant Red: Strong bearish trend with low entropy (High Certainty). Gray/Faded Color: High entropy regime (Entropy > 0.9). This signals that the market is "choppy" and the probability of success is too close to random to be reliable. • Background Entropy Zones The chart background highlights areas of "Max Entropy" in a subtle gray color. When you see these zones, it suggests the current Bernoulli definition is failing to find a directional edge, signaling a period of market consolidation. • Real-Time Metrics Dashboard A table in the top-right corner displays: Probability (p): The exact decimal value of the current trend probability. Entropy (Bits): The current level of uncertainty in the sequence. Regime: A text-based label identifying the market state (Bull Trend, Bear Trend, or Noise/Chop). • Execution Signals Small triangles appear on the chart to mark high-probability transition points. A Triangle Up (Green) marks a bullish breakout from a low-entropy state, while a Triangle Down (Red) marks a bearish breakdown. ● 📖 How to Use • Identifying Low-Noise Entries Traders should look for instances where the Probability Line crosses the 0.5 threshold while Entropy is low (vibrant colors). If the line is gray, the "trend" lacks statistical significance, and the risk of a whip-saw is high. • Regime Filtering Use the indicator as a "Mode Filter." If the Dashboard displays "NOISE / CHOP," it is a signal to stay flat or use mean-reversion strategies. If it displays a "TREND" regime, trend-following strategies can be deployed with higher confidence. • Interpreting the Z-Score While not directly plotted, the Z-Score logic powers the signal generation. A signal is only produced when the deviation from the "Fair Coin" (0.5) is substantial enough to suggest a non-random event. ● ⚙️ Inputs and Settings • Bernoulli Trial Definition Choose between three calculation modes: Price Action: Uses the relationship between Close and Open (Directional bars). Momentum: Uses RSI relative to the 50-level (Standard momentum). Trend: Uses Price relative to a Simple Moving Average (Long-term regime). • Sample Window (N) Determines the "lookback" for the probability calculation. Smaller values (e.g., 10-15) are more responsive but noisier; larger values (e.g., 30-50) provide a smoother, more institutional view of the regime. • Risk Management (Alerts) Target R:R Ratio: Used to calculate the Take Profit level in the JSON alerts. Stop ATR Multiplier: Uses Average True Range to calculate a volatility-adjusted stop loss for signals. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The "Bernoulli Process: Trend Probability & Entropy" script is built upon the pillars of Discrete Stochastic Processes and Information Theory. • The Law of Large Numbers (LLN) The script relies on the LLN, which states that as a sample size grows, its mean gets closer to the average of the whole population. By using a "Sample Window," we are performing a rolling MLE of the true underlying probability parameter of the market at that moment. • Shannon Entropy and Information Theory Claude Shannon’s 1948 work on information entropy is the bedrock of the "Noise" detection in this script. In the context of trading, entropy represents the "surprise" or "uncertainty" in the price sequence. A low-entropy market is one where the next bar's success/failure is highly predictable based on the recent past, which is the mathematical definition of a trend. • Bernoulli vs. Gaussian Distributions Most indicators assume a Normal (Gaussian) distribution of price returns. However, market states are often better modeled as discrete outcomes (Up/Down). By treating the market as a Bernoulli Process, we bypass the "fat-tail" problem of Gaussian distributions and focus purely on the frequency of successful outcomes, making the tool more robust against outliers. • The Z-Test for Proportions By applying a Z-score calculation to a Bernoulli distribution, the script treats the market like a "biased coin" experiment. It tests the Null Hypothesis ($H_0$): "The market is a fair coin (p=0.5)." When the Z-score is high, we reject $H_0$ in favor of the Alternative Hypothesis ($H_1$): "The market is trending (p != 0.5)." ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Wskaźnik Pine Script®
od MarkitTick
2
Range Indicator Golden Pocket, Liquidity, FairValueGapOverview This indicator is a comprehensive institutional market structure toolkit. It is designed to identify high-probability reversal zones by merging three powerful technical analysis concepts: Fibonacci Golden Pockets (61.8% - 65%), Liquidity Pool Analysis (Swing Failure Patterns), and Fair Value Gaps (FVG). By automating the detection of price inefficiencies and "stop runs," it helps traders navigate complex price action with objective, rule-based confirmation. What the Script Does The script continuously monitors a user-defined lookback period to define a trading range. Within this range, it dynamically plots: Golden Pockets: High-confluence retracement zones (calculated as 0.35 - 0.382 internal range levels). Liquidity Zones: Highlighted regions at the absolute high and low (Top/Bottom 5%) where institutional orders and retail stops are typically concentrated. Swing Failure Patterns (SFP): Real-time detection of liquidity grabs where price breaches a range extreme but fails to close outside, signaling a potential trap. Fair Value Gaps (FVG): Visualizes 3-candle price imbalances, showing areas of aggressive buying or selling that often act as future magnets or support/resistance. 2-Candle Confirmation: A momentum-based filter requiring a candle-close confirmation before a reversal signal is generated. For Whom is it? Smart Money Concepts (SMC) & ICT Students: Traders looking for automated liquidity sweeps and market inefficiencies. Fibonacci & Mean Reversion Traders: Those seeking a clean, professional visualization of the Golden Pocket across multiple timeframes. Systematic Day Traders: Who require strict price-action confirmation (SFP and 2-candle rules) to remove emotional bias from their entries. Functions and Input Options 1. Market Structure & Visuals Lookback Period (Default: 100): Defines the window for calculating the range extremes. Box Offset Right (Default: 50): Extends all zones into the future for better anticipatory trading. Show Price Lines & Labels: Displays the exact price for every zone boundary on the right axis for precise execution. 2. Fair Value Gap (FVG) Settings Show Fair Value Gaps: A toggle to enable/disable the plotting of price imbalances. FVG Extension (Default: 10): Determines how many bars into the future the FVG box remains visible. Custom Colors: Separate color inputs for Bullish (Gap Up) and Bearish (Gap Down) inefficiencies. 3. Professional Alert System The script includes five specific alert conditions: GP Touch: Early warning when price enters a Golden Pocket. 2-Candle Pattern: Confirmed momentum shift within a Golden Pocket. SFP Long/Short: Alerts when a Liquidity Grab (Swing Failure) is confirmed at the range high or low. Transparency and Compliance (Moderator Info) Non-Repainting Logic: All signals (SFP, 2-Candle, and FVG) are calculated and triggered based on confirmed candle closes. Drawings use barstate.islast purely for visual efficiency without altering historical data integrity. Educational Context: The script visualizes well-known market principles (Fibonacci, SFPs, and FVGs) to aid traders in their analysis; it does not provide automated financial advice or "black-box" buy/sell signals. Resource Management: Optimized for Pine Script v5, using efficient array and box handling to ensure smooth performance even on lower timeframes.
Wskaźnik Pine Script®
od realmacgyver77
23
Uptrick: Price Memory TrendIntroduction Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise. Overview This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics. Originality The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior. Inputs Core Engine Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive. Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily. Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands. Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity. Customization Color Palette: Selects one of six predefined color schemes for bull and bear visuals. Show Bands: Enables or disables the display of deviation bands. Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn. Bands Trail Intense Show Info Table: Toggles display of the real-time trend and volatility status panel. Table Position: Determines which corner of the chart the info panel appears in. Text Size: Adjusts font size used within the info table. Features Trend Detection Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime. Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime. Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction. Candle Coloring Candles are dynamically recolored based on current trend direction: bull, bear, or neutral. Signal Labels Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points. Deviation Bands Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base. Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected. Bands visually indicate overextension and help frame price context relative to memory. Alerts Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications. Info Table The optional info table displays: Current trend direction Band state (calm, hot, or cool) Price stretch from base Trend age in bars Confidence level based on deviation Memory slope and acceleration Band width and compression state Reversion risk based on stretch level Info Table: Trade Example: Logic Price Memory A recursive formula updates a memory variable based on the current price. The memory adjusts only when the price deviates meaningfully from its previous value. The formula uses a combination of delta-weighting and exponential decay: > memory := previous_memory + delta × memory_strength > memory := memory × memory_decay + price × (1 - memory_decay) This produces a smooth, adaptive base that responds gradually to directional price moves. Deviation and Bands Absolute deviation between price and the memory base is calculated and smoothed using an EMA. The upper and lower bands are then calculated as: > Upper Band = memory base + (smoothed deviation × band multiplier) > Lower Band = memory base - (smoothed deviation × band multiplier) ATR-based extensions can optionally be drawn around these bands for added visual structure. Trend Logic Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands. The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs. This prevents multiple signals within the same trend direction (non-pyramiding behavior). Stretch and Band Analysis Stretch is measured as the deviation of price from memory, normalized by smoothed deviation. Band width is tracked over time and used to detect compression or expansion. Band position is calculated to identify where price sits between the upper and lower bands. Info Table Metrics Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change. Confidence Level: Based on stretch intensity, indicating trend strength. Reversion Risk: Inferred from how extended price is beyond the band. Compression: Evaluated by comparing current band width to its recent average. Summary Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles. Disclaimer This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
Wskaźnik Pine Script®
od Uptrick
17
Hybrid Smart Money Concepts [MarkitTick]💡This indicator provides a comprehensive technical analysis system that combines Market Structure concepts (Smart Money Concepts) with advanced Gap Analysis and a statistical Stress Model. It is designed to help traders identify trend direction, structural pivot points, potential reversal zones (Order Blocks), significant price gaps, and moments of market exhaustion. Unlike standard ZigZag or Fractal indicators, this script integrates volume, trend maturity, and statistical volatility (Z-Score) to contextually classify price action. By overlaying these elements with a robust Market Structure engine—which identifies Change of Character (CHoCH) and Order Blocks—the tool provides a confluent view of price action. It automates the detection of institutional footprints, allowing traders to see the structural trend, momentum drivers, and potential exhaustion points simultaneously. ● METHODOLOGY The script operates on three distinct but complementary logic engines: • Gap Analysis Engine This module detects gaps between the previous high/low and the current open. It classifies them into three specific types based on volume and structural context: Breakaway Gaps: Identified when a gap creates a breakout above a recent Pivot High or below a Pivot Low. This signals the start of a potential new trend. Exhaustion Gaps: Identified when a gap occurs with high relative volume and meets the Trend Maturity criteria. This often signals the end of a trend. Runaway Gaps: Standard continuation gaps that occur within a trend. • Market Structure Engine Swings and CHoCH: The script uses a left-and-right bar lookback to identify Pivot Highs and Lows. A Change of Character (CHoCH) is plotted when price closes beyond the most recent major pivot. Order Blocks (OB): Upon a continuation of the trend, the script scans backward to find the extreme candle (the origin of the move) and highlights this zone as an Order Block. Dynamic Cleanup: Gaps and Order Blocks are automatically removed (mitigated) when price aggressively crosses through their levels. • Exhaustion & Stress Model This statistical engine measures market "Stress" by analyzing the impact of price range relative to volume (True Range / Volume). Calculation: It calculates a Z-Score (Standard Deviation) of this impact. Logic: When the Z-Score exceeds a specific threshold (Sigma), it indicates a statistical anomaly or "Stress." Signal: If high stress occurs while price is significantly above the trend baseline, it signals "Buyer Exhaustion." Conversely, high stress below the baseline signals "Seller Exhaustion." ● VISUALS & LEGEND Before trading, you need to know what the indicator is drawing on your chart: • Change of Character (CHoCH) Green Dashed Line: Indicates a Bullish reversal. Red Dashed Line: Indicates a Bearish reversal. • Order Blocks (OB) Green Boxes: Bullish support zones (Buy interest). Red Boxes: Bearish resistance zones (Sell interest). Note: Invalidated boxes are automatically deleted. • Gaps Blue Box (Breakaway): Strong momentum gap starting a new trend. Orange Box (Runaway): Continuation gap. Red Box (Exhaustion): Warning signal; trend may be ending. • Stress Model Signals Label "BE" (Red): Buyer Exhaustion. Suggests the bullish move is overextended relative to volume participation. Label "SE" (Green): Seller Exhaustion. Suggests the bearish move is overextended. ● TRADING STRATEGY You can use a "Pullback, Continuation & Exhaustion" strategy with this indicator. • Scenario A: Long Setup (Buying) Trend Change: Look for a CHoCH label with a Green Dashed Line. Entry Zone: Look for a Green Order Block (OB) to form. Confirmation: A Breakaway Gap (Blue) validates the breakout. Entry: Enter Long when price pulls back into the Green OB. Exit Warning: If a "BE" (Buyer Exhaustion) label appears, consider tightening stops or taking profit. • Scenario B: Short Setup (Selling) Trend Change: Look for a CHoCH label with a Red Dashed Line. Entry Zone: Look for a Red Order Block (OB) to form. Confirmation: A Breakaway Gap downwards validates the move. Entry: Enter Short when price rallies back into the Red OB. Exit Warning: If an "SE" (Seller Exhaustion) label appears, consider tightening stops or taking profit. ● SETTINGS • Date Range Filter Use Date Filter: Toggle time-based filtering. Start Date: Timestamp to begin calculations. • Gap Analysis Min Gap Size: Minimum points required to register a gap. Logic Inputs: Configures lookback periods and volume multipliers for gap classification. Visuals: Customize colors for Breakaway, Runaway, and Exhaustion gaps. • Market Structure Swing Detection Length: Lookback period for pivot points. Show CHoCH: Toggle for Change of Character labels. Show Order Blocks: Toggle for OB boxes. • Exhaustion & Stress Model Trend Filter Length: Baseline length for determining trend direction (EMA). Statistical Lookback: Length for the Z-Score calculation. Stress Threshold (Sigma): The standard deviation requirement to trigger an exhaustion signal (Default: 2.0). ● DISCLAIMER All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Wskaźnik Pine Script®
od MarkitTick
13
Amihud Illiquidity Ratio [MarkitTick]💡This indicator implements the Amihud Illiquidity Ratio, a financial metric designed to measure the price impact of trading volume. It assesses the relationship between absolute price returns and the volume required to generate that return, providing traders with insight into the "stress" levels of the market liquidity. Concept and Originality Standard volume indicators often look at volume in isolation. This script differentiates itself by contextualizing volume against price movement. It answers the question: "How much did the price move per unit of volume?" Furthermore, unlike static indicators, this implementation utilizes dynamic percentile zones (Linear Interpolation) to adapt to the changing volatility profile of the specific asset you are viewing. Methodology The calculation proceeds in three distinct steps: 1. Daily Return: The script calculates the absolute percentage change of the closing price relative to the previous close. 2. Raw Ratio: The absolute return is divided by the volume. I have introduced a standard scaling factor (1,000,000) to the calculation. This resolves the issue of the values being astronomically small (displayed as roughly 0) without altering the fundamental logic of the Amihud ratio (Absolute Return / Volume). - High Ratio: Indicates that price is moving significantly on low volume (Illiquid/Thin Order Book). - Low Ratio: Indicates that price requires massive volume to move (Liquid/Deep Order Book). 3. Dynamic Regimes: The script calculates the 75th and 25th percentiles of the ratio over a lookback period. This creates adaptive bands that define "High Stress" and "Liquid" zones relative to recent history. How to Use Traders can use this tool to identify market fragility: - High Stress Zone (Red Background): When the indicator crosses above the 75th percentile, the market is in a High Illiquidity Regime. Price is slipping easily. This is often observed during panic selling or volatile tops where the order book is thin. - Liquid Zone (Green Background): When the indicator drops below the 25th percentile, the market is in a Liquid Regime. The market is absorbing volume well, which is often characteristic of stable trends or accumulation phases. - Dashboard: A visual table on the chart displays the current Amihud Ratio and the active Market Regime (High Stress, Normal, or Liquid). Inputs - Calculation Period: The lookback length for the average illiquidity (Default: 20). - Smoothing Period: The length of the additional moving average to smooth out noise (Default: 5). - Show Quant Dashboard: Toggles the visibility of the on-screen information table. ● How to read this chart • Spike in Illiquidity (Red Zones) Price is moving on "thin air." Expect high volatility or potential reversals. • Low Illiquidity (Green/Stable Zones) The market is deep and liquid. Trends here are more sustainable and reliable. • Divergence Watch for price making new highs while liquidity is drying up—a classic sign of an exhausted trend. Example: ● Chart Overview The chart displays the Amihud Illiquidity indicator applied to a Gold (XAUUSD) 4-hour timeframe. Top Pane: Price action with manual text annotations highlighting market reversals relative to liquidity zones. Bottom Pane: The specific technical indicator defined in the logic. It features a Blue Line (Raw Illiquidity), a Red Line (Signal/Smoothed), and dynamic background coloring (Red and Green vertical strips). ● Deep Visual Analysis • High Stress Regime (Red Zones) Visual Event: In the bottom pane, the background periodically shifts to a translucent red. Technical Logic: This event is triggered when the amihudAvg (the smoothed illiquidity ratio) exceeds the 75th percentile ( hZone ) of the lookback period. Forensic Interpretation: The logic calculates the absolute price change relative to volume. A spike into the red zone indicates that price is moving significantly on relatively lower volume (high price impact). Visually, the chart shows these red zones aligning with local price peaks (volatility expansion), leading to the bearish reversal marked by the red box in the top pane. • Liquid Regime (Green Zones) Visual Event: The background shifts to a translucent green in the bottom pane. Technical Logic: This triggers when the amihudAvg falls below the 25th percentile ( lZone ). Forensic Interpretation: This state represents a period where large volumes are absorbed with minimal price impact (efficiency). On the chart, this green zone corresponds to the consolidation trough (green box, top pane), validating the annotated accumulation phase before the bullish breakout. • Indicator Lines Blue Line: This is the illiquidityRaw value. It represents the raw daily return divided by volume. Red Line: This is the smoothedVal , a Simple Moving Average (SMA) of the raw data, used to filter out noise and define the trend of liquidity stress. ● Anomalies & Critical Data • The Reversal Pivot The transition from the "High Stress" (Red) background to the "Liquid" (Green) background serves as a visual proxy for market regime change. The chart shows that as the Red zones dissipate (volatility contraction), the market enters a Green zone (efficient liquidity), which acted as the precursor to the sustained upward trend on the right side of the chart. ● About Yakov Amihud Yakov Amihud is a leading researcher in market liquidity and asset pricing. • Brief Background Professor of Finance, affiliated with New York University (NYU). Specializes in market microstructure, liquidity, and quantitative finance. His work has had a major impact on both academic research and practical investment models. ● The Amihud (2002) Paper In 2002, he published his influential paper: “Illiquidity and Stock Returns: Cross-Section and Time-Series Effects” . • Key Contributions Introduced the Amihud Illiquidity Measure, a simple yet powerful proxy for market liquidity. Demonstrated that less liquid stocks tend to earn higher expected returns as compensation for liquidity risk. The measure became one of the most widely used liquidity metrics in finance research. ● Why It Matters in Practice Used in quantitative trading models. Applied in portfolio construction and risk management. Helpful as a liquidity filter to avoid assets with excessive price impact. In short: Yakov Amihud established a practical and robust link between liquidity and returns, making his 2002 work a cornerstone in modern financial economics. Disclaimer: All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Wskaźnik Pine Script®
od MarkitTick
Dynamic Pivot Point [MarkitTick]Title: Dynamic Pivot Point MarkitTick Concept Unlike traditional Pivot Points, which plot static horizontal levels based on the previous period's High, Low, and Close, this script introduces a dynamic element by applying an Exponential Moving Average (EMA) to the calculated pivot levels. This approach allows the Support and Resistance zones to adapt more fluidly to recent price action, reducing the jagged steps often seen in standard multi-timeframe pivot indicators. How It Works The script operates in two distinct phases of calculation: 1. Data Extraction and Core Math: The indicator first requests the High, Low, and Close data from a user-defined timeframe (e.g., Daily, Weekly). Using this data, it calculates the standard Pivot Point (P) alongside three levels of Support (S1, S2, S3) and three levels of Resistance (R1, R2, R3) using standard geometric formulas: Pivot = (High + Low + Close) / 3 R1 = 2 * Pivot - Low S1 = 2 * Pivot - High (Subsequent levels follow standard Floor Pivot logic). 2. Dynamic Smoothing: Instead of plotting these raw values directly, the script processes each calculated level (P, S1-S3, R1-R3) through an Exponential Moving Average (EMA). The length of this EMA is controlled by the Pivot Length input. This smoothing process filters out minor volatility and creates curved, dynamic trajectories for the pivot levels rather than static straight lines. How to Use Traders can use this tool to identify dynamic areas of interest where price may react. The White Line represents the Central Pivot. Price action relative to this line helps determine the immediate bias (above for bullish, below for bearish). Green Lines (Support 1, 2, 3) indicate potential demand zones where price may bounce during a downtrend. Red Lines (Resistance 1, 2, 3) indicate potential supply zones where price may reject during an uptrend. Because the levels are smoothed, they can also act as dynamic trend followers, similar to moving averages, but derived from pivot geometry. Settings Show Pivot Points: Toggles the visibility of the plot lines on the chart. Pivot Length: Defines the lookback period for the EMA smoothing applied to the pivot levels. A higher number results in smoother, slower-reacting lines. Timeframe: Determines the timeframe used for the underlying High/Low/Close data (e.g., selecting "D" calculates pivots based on Daily data while viewing a lower timeframe chart). Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Wskaźnik Pine Script®
od MarkitTick
Trend Vector Pro v2.0Trend Vector Pro v2.0 👨‍💻 Developed by: Mohammed Bedaiwi 💡 Strategy Overview & Coherence Trend Vector Pro (TVPro) is a momentum-based trend & reversal strategy that uses a custom smoothed oscillator, an optional ADX filter, and classic Pivot Points to create a single, coherent trading framework. Instead of stacking random indicators, TVPro is built around these integrated components: A custom momentum engine (signal generation) An optional ADX filter (trend quality control) Daily Pivot Points (context, targets & S/R) Swing-based “Golden Bar” trailing stops (trade management) Optional extended bar detection (overextension alerts) All parts are designed to work together and are documented below to address originality & usefulness requirements. 🔍 Core Components & Justification 1. Custom Momentum Engine (Main Signal Source) TVPro’s engine is a custom oscillator derived from the bar midpoint ( hl2 ), similar in spirit to the Awesome Oscillator but adapted and fully integrated into the strategy. It measures velocity and acceleration of price, letting the script distinguish between strong impulses, weakening trends, and pure noise. 2. ADX Filter (Trend Strength Validation – Optional) Uses Average Directional Index (ADX) as a gatekeeper. Why this matters: This prevents the strategy from firing signals in choppy, non-trending environments (when ADX is below the threshold) and keeps trades focused on periods of clear directional strength. 3. Classic Pivot Points (Context & Targets) Calculates Daily Pivot Points ( PP, R1-R3, S1-S3 ) via request.security() using prior session data. Why this matters: Momentum gives the signal, ADX validates the environment, and Pivots add external structure for risk and target planning. This is a designed interaction, not a random mashup. 🧭 Trend State Logic (5-State Bar Coloring) The strategy uses the momentum's value + slope to define five states, turning the chart into a visual momentum map: 🟢 STRONG BULL (Bright Green): Momentum accelerating UP. → Strong upside impulse. 🌲 WEAK BULL (Dark Green): Momentum decelerating DOWN (while positive). → Pullback/pause zone. 🔴 STRONG BEAR (Bright Red): Momentum accelerating DOWN. → Strong downside impulse. 🍷 WEAK BEAR (Dark Red): Momentum decelerating UP (while negative). → Rally/short-covering zone. 🔵 NEUTRAL / CHOP (Cyan): Momentum is near zero (based on noise threshold). → Consolidation / low volatility. 🎯 Signal Logic Modes TVPro provides two selectable entry styles, controlled by input: Reversals Only (Cleaner Mode – Default): Targets trend flips. Entry triggers when the current state is Bullish (or Bearish) and the previous state was not. This reduces noise and over-trading. All Strong Pulses (Aggressive Mode): Targets acceleration phases. Entry triggers when the bar turns to STRONG BULL or STRONG BEAR after any other state. This mode produces more trades. 📌 Risk Management Tools 🟡 Golden Bars – Trailing Stops: Yellow “Trail” Arrows mark confirmed Swing Highs/Lows. These are used as logical trailing stop levels based on market structure. Extended Bars: Detects when price closes outside a 2-standard-deviation channel, flagging overextension where a pullback is more likely. Pivot Points: Used as external targets for Take Profit and structural stop placement. ⚙️ Strategy Defaults (Crucial for Publication Compliance) To keep backtest results realistic and in line with House Rules, TVPro is published with the following fixed default settings: Order Size: 5% of equity per trade ( default_qty_value = 5 ) Commission: 0.04% per order ( commission_value = 0.04 ) Slippage: 2 ticks ( slippage = 2 ) Initial Capital: 10,000 📘 How to Trade with Trend Vector Pro Entry: Take Long when a Long signal appears and confirm the bar is Green (Bull state). Short for Red (Bear state). Stop Loss: Place the initial SL near the latest swing High/Low, or near a relevant Pivot level. Trade Management: Follow Golden (Trail) Arrows to trail your stop behind structure. Exits: Exit when: the trailing stop is hit, Price reaches a major Pivot level, or an opposite signal prints. 🛑 Disclaimer This script is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always forward-test and use proper risk management before applying any strategy to live trading.
Strategia Pine Script®
od mbedaiwi2
Filter Bar1. Indicator Name Filter Bar 2. One-line Introduction A trend-aware bar coloring system that visualizes market direction and strength through adaptive transparency based on regression scoring. 3. General Overview Filter Bar+ is a minimalist but powerful trend visualization tool that colors chart bars according to market direction and momentum strength. It analyzes the linear regression trend alignment over a specified lookback period and uses a pairwise comparison algorithm to determine whether the market is in a bullish, bearish, or neutral state. The result is a "trend score" that gets normalized to reflect trend intensity (0~1). Bar colors are then dynamically updated using the specified bullish or bearish base colors, where higher intensity results in more opaque (darker) bars, and weaker trends lead to lighter, faded tones. If no strong trend is detected, bars are shown in gray, signaling indecision or neutrality. The strength of this indicator lies in its simplicity—it doesn’t draw lines, waves, or shapes, but overlays insight directly onto the chart through smart color cues. It’s particularly effective as a background filter for price action traders, scalpers, and anyone who prefers clean charts but still wants embedded directional context. 4. Key Advantages 🎨 Adaptive Bar Coloring Bar color opacity increases with trend strength, offering instant visual confirmation without clutter. 📊 Quantified Trend Direction Uses a regression-based scoring system to reliably detect uptrends, downtrends, or sideways markets. ⚖️ Customizable Sensitivity Parameters like lookback period and tolerance percentage give users full control over signal responsiveness. 🧼 Clean Chart Presentation No lines, shapes, or overlays—just color-coded bars that blend into your existing chart setup. 🚀 Lightweight & Fast Minimal computational load ensures it works smoothly even on lower-end devices or multiple chart setups. 🔒 Secure Internal Logic Algorithm is neatly encapsulated and optimized, with no critical logic exposed. 📘 Indicator User Guide 📌 Basic Concept Filter Bar+ evaluates trend direction and strength using a pairwise comparison of linear regression values. The result determines whether the market is bullish, bearish, or neutral, and adjusts bar colors accordingly. It visually amplifies the current market state without drawing any indicators on the chart. ⚙️ Settings Explained Lookback Period: Number of bars used to compare regression values Range Tolerance (%): Minimum score required to label a trend as bullish or bearish Regression Source: Data input used for regression (default: close) Linear Regression Length: Period for generating the base regression line Bull/Bear Base Colors: Choose colors to represent bullish or bearish bars 📈 Buy Timing Example Bars are green (or user-set bullish color) and becoming more vivid Indicates a strengthening bullish trend; helpful when used alongside breakout confirmation or support zones 📉 Sell Timing Example Bars turn red (or your custom bearish color) with increasing opacity Signals growing bearish pressure; acts as confirmation during short setups or breakdowns 🧪 Recommended Use Cases Combine with volume, RSI, or price action setups for direction filtering Ideal for clean chart strategies where visual simplicity is preferred Use as a confirmation layer to reduce noise in sideways markets 🔒 Precautions This is a visual filter, not a signal generator—use alongside other strategies for entries/exits In choppy markets, bars may flicker between colors—adjust sensitivity as needed Works best when you already have a directional thesis and want to validate it visually Always test settings for your asset/timeframe before applying in live trades
Wskaźnik Pine Script®
od c9indicator
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator? The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K. Stochastic helps identify: Overbought and oversold conditions Bullish and bearish crossovers Momentum shifts before price reversals It is widely used in both trending and ranging markets. 💡 What Makes This Suite Different? This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including: ✅ Core Features: - Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality. - Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20). - %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram. - Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas). 🔍 Divergence Detection (Optional): - Bullish Divergence: Price makes lower lows while %K makes higher lows. - Bearish Divergence: Price makes higher highs while %K makes lower highs. - Customizable pivot lookbacks and range filters to control divergence strictness. - Visual divergence labels plotted directly on the oscillator. 🎛️ Fully Toggleable Visuals: Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes. 🔔 Alerts: Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies. ⚙️ Use Cases - Spot exhaustion in overbought/oversold zones - Confirm or filter entries with divergence signals - Monitor multiple timeframes without switching charts - Use as a signal tool in confluence with price action or volume indicators ⚠️ Disclaimer This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
Wskaźnik Pine Script®
od RWCS_LTD
VWAP Trend **Overview** The VWAP Trend indicator is a volume-weighted price analysis tool that visualizes the relationship between price and the anchored Volume Weighted Average Price (VWAP) over different timeframes. This script is designed to reveal when the market is trending above or below its volume-weighted equilibrium point, providing a clear framework for identifying directional bias, trend strength, and potential reversals. By combining an anchored VWAP with exponential smoothing and a secondary trend EMA, the indicator helps traders distinguish between short-term price fluctuations and genuine volume-supported directional moves. **Core Concept** VWAP (Volume Weighted Average Price) represents the average price of an asset weighted by traded volume. It reflects where the majority of trading activity has taken place within a chosen period, serving as a critical reference level for institutions and professional traders. This indicator extends the traditional VWAP concept by: 1. Allowing users to **anchor VWAP to different timeframes** (Daily, Weekly, or Monthly). 2. Applying **smoothing** to create a stable reference curve less prone to noise. 3. Overlaying a **trend EMA** to identify whether current price momentum aligns with or diverges from VWAP equilibrium. The combination of these elements produces a visual representation of price’s relationship to its fair value across time, helping to identify accumulation and distribution phases. **Calculation Methodology** 1. **Anchored VWAP Calculation:** The script resets cumulative volume and cumulative volume–price data at the start of each new VWAP session (based on the selected anchor timeframe). It continuously accumulates the product of price and volume, dividing this by total volume to compute the current VWAP value. 2. **Smoothing Process:** The raw VWAP line is smoothed using an Exponential Moving Average (EMA) of user-defined length, producing a cleaner, more stable trend curve that minimizes intraperiod noise. 3. **Trend Determination:** An additional EMA is calculated on the closing price. By comparing the position of this EMA to the smoothed VWAP, the indicator determines the prevailing market bias: * When the trend EMA is above the smoothed VWAP, the market is considered to be in an **uptrend**. * When the trend EMA is below the smoothed VWAP, the market is classified as a **downtrend**. **Visual Structure** The indicator uses color dynamics and chart overlays to make interpretation intuitive: * **Smoothed VWAP Line:** The main trend reference, colored blue during bullish conditions and orange during bearish conditions. * **Price Fill Region:** The area between the smoothed VWAP and price is filled with a translucent color matching the current trend, visually representing whether price is trading above or below equilibrium. * **Trend EMA (implicit):** Although not separately plotted, it drives the color state of the VWAP, ensuring seamless visual transitions between bullish and bearish conditions. **Inputs and Parameters** * **VWAP Timeframe:** Choose between Daily, Weekly, or Monthly anchoring. This determines the reset frequency for cumulative volume and price data. * **VWAP Smoothing Length:** Defines how many periods are used to smooth the VWAP line. Shorter values produce a more reactive line; longer values create smoother, steadier signals. * **Trend EMA Length:** Sets the period for the trend detection EMA applied to price. Adjust this to calibrate how quickly the indicator reacts to directional changes. **Interpretation and Use Cases** * **Trend Confirmation:** When price and the trend EMA both remain above the smoothed VWAP, the market is showing strong bullish control. Conversely, consistent price action below the VWAP suggests sustained bearish sentiment. * **Fair Value Assessment:** VWAP serves as a dynamic equilibrium level. Price repeatedly reverting to this line indicates consolidation or fair value zones, while strong directional moves away from VWAP highlight momentum phases. * **Institutional Benchmarking:** Because large market participants often benchmark entries and exits relative to VWAP, this indicator helps align retail analysis with institutional logic. * **Reversal Detection:** Sudden crossovers of the trend EMA relative to the VWAP can signal potential reversals or shifts in momentum strength. **Trading Applications** * **Trend Following:** Use VWAP’s direction and color state to determine trade bias. Long entries are favored when the VWAP turns blue, while short entries align with orange phases. * **Mean Reversion:** In ranging conditions, traders may look for price deviations far above or below VWAP as potential reversion opportunities. * **Multi-Timeframe Confluence:** Combine the Daily VWAP Trend with higher anchor periods (e.g., Weekly or Monthly) to confirm larger trend structure. * **Support and Resistance Mapping:** VWAP often acts as a strong intraday or session-level support/resistance zone. The smoothed version refines this behavior into a cleaner, more reliable reference. **Originality and Innovation** The VWAP Trend indicator stands apart from conventional VWAP scripts through several original features: 1. **Anchor Flexibility:** Most VWAP indicators fix the anchor to a specific session (like daily). This version allows switching between Daily, Weekly, and Monthly anchors dynamically, adapting to various trading styles and time horizons. 2. **Volume-Weighted Smoothing:** The use of an EMA smoothing layer over the raw VWAP provides enhanced stability without compromising responsiveness, delivering a more analytically consistent signal. 3. **EMA-Based Trend Comparison:** By introducing a second trend EMA, the indicator creates a comparative framework that merges volume-weighted price analysis with classical momentum tracking — a rare and powerful combination. 4. **Adaptive Visual System:** The color-shifting and shaded fill between VWAP and price are integrated into a single, lightweight structure, giving traders immediate insight into market bias without the clutter of multiple overlapping indicators. **Advantages** * Adaptable to any market, timeframe, or trading style. * Provides both equilibrium (VWAP) and momentum (EMA) perspectives. * Smooths out noise while retaining the integrity of volume-based price dynamics. * Enhances situational awareness through intuitive color-coded visualization. * Ideal for professional, swing, and intraday traders seeking context-driven market direction. **Summary** The VWAP Trend indicator is a modern enhancement of the classical VWAP methodology. By merging anchored volume-weighted analysis with smoothed trend detection and visual state feedback, it provides a comprehensive perspective on market equilibrium and directional strength. It is built for traders who seek more than static price references — offering an adaptive, volume-aware framework for identifying market trends, reversals, and fair-value zones with precision and clarity.
Wskaźnik Pine Script®
od honeydev9598
2
Bollinger Band ToolkitBollinger Band Toolkit An advanced, adaptive Bollinger Band system for traders who want more context, precision, and edge. This indicator expands on the classic Bollinger Bands by combining statistical and volatility-based methods with modern divergence and squeeze detection tools. It helps identify volatility regimes, potential breakouts, and early momentum shifts — all within one clean overlay. 🔹 Core Features 1. Adaptive Bollinger Bands (σ + ATR) Classic 20-period bands enhanced with an ATR-based volatility adjustment, making them more responsive to true market movement rather than just price variance. Reduces “overreacting” during chop and avoids bands collapsing too tightly during trends. 2. %B & RSI Divergence Detection 🟢 Green dots: Positive %B divergence — price makes a lower low, but %B doesn’t confirm (bullish). 🔴 Red dots: Negative %B divergence — price makes a higher high, but %B doesn’t confirm (bearish). ✚ Red/green crosses: RSI divergence confirmation — momentum fails to confirm the price’s new extreme. These signals highlight potential reversal or slowdown zones that are often invisible to the naked eye. 3. Bollinger Band Squeeze (with Volume Filter) Yellow squares (■) show periods when Bollinger Bands are at their narrowest relative to recent history. Volume confirmation ensures the squeeze only triggers when both volatility and participation contract. Often marks the “calm before the storm” — breakout potential zones. 4. Multi-Timeframe Breakout Markers Optionally displays breakouts from higher or lower timeframes using different colors/symbols. Lets you see when a higher timeframe band break aligns with your current chart — a strong trend continuation signal. 5. Dual- and Triple-Band Visualization (±1σ, ±2σ, ±3σ) Optional inner (±1σ) and outer (±3σ) bands provide a layered volatility map: Price holding between ±1σ → stable range / mean-reverting behavior Price riding near ±2σ → trending phase, sustained momentum Price touching or exceeding ±3σ → volatility expansion or exhaustion zone This triple-band layout visually distinguishes normal movement from statistical extremes, helping you read when the market is balanced, expanding, or approaching its limits. ⚙️ Inputs & Customization Choose band type (SMA/EMA/SMMA/WMA/VWMA) Adjust deviation multiplier (σ) and ATR multiplier Toggle individual features (divergence dots, squeeze markers, inner bands, etc.) Multi-timeframe and colour controls for advanced users 🧠 How to Use Watch for squeeze markers followed by a breakout bar beyond ±2σ → volatility expansion signal. Combine divergence dots with RSI or price structure to anticipate slowdowns or reversals. Confirm direction using multi-timeframe breakouts and volume expansion. 💬 Why It Works This toolkit transforms qualitative chart reading (tight bands, hidden divergence) into quantitative, testable conditions — giving you objective insights that can be backtested, coded, or simply trusted in live setups.
Wskaźnik Pine Script®
od LinesOnRice
Momentum Shift Oscillator (MSO) [SharpStrat]Momentum Shift Oscillator (MSO) The Momentum Shift Oscillator (MSO) is a custom-built oscillator that combines the best parts of RSI, ROC, and MACD into one clean, powerful indicator. Its goal is to identify when momentum shifts are happening in the market, filtering out noise that a single momentum tool might miss. Why MSO? Most traders rely on just one momentum indicator like RSI, MACD, or ROC. Each has strengths, but also weaknesses: RSI → great for overbought/oversold, but often lags in strong trends. ROC (Rate of Change) → captures price velocity, but can be too noisy. MACD Histogram → shows trend strength shifts, but reacts slowly at times. By blending all three (with adjustable weights), MSO gives a balanced view of momentum. It captures trend strength, velocity, and exhaustion in one oscillator. How MSO Works Inputs: RSI, ROC, and MACD Histogram are calculated with user-defined lengths. Each is normalized (so they share the same scale of -100 to +100). You can set weights for RSI, ROC, and MACD to emphasize different components. The components are blended into a single oscillator value. Smoothing (SMA, EMA, or WMA) is applied. MSO plots as a smooth line, color-coded by slope (green rising, red falling). Overbought and oversold levels are plotted (default: +60 / -60). A zero line helps identify bullish vs bearish momentum shifts. How to trade with MSO Zero line crossovers → crossing above zero suggests bullish momentum; crossing below zero suggests bearish momentum. Overbought and oversold zones → values above +60 may indicate exhaustion in bullish moves; values below -60 may signal exhaustion in bearish moves. Slope of the line → a rising line shows strengthening momentum, while a falling line signals fading momentum. Divergences → if price makes new highs or lows but MSO does not, it can point to a possible reversal. Why MSO is Unique Combines trend + momentum + velocity into one view. Filters noise better than standalone RSI/MACD. Adapts to both trend-following and mean-reversion styles. Can be used across any timeframe for confirmation.
Wskaźnik Pine Script®
od SharpStrat
ADX Tide ZonesADX Tide Zones – Adaptive Momentum & Trend Strength Framework Overview ADX Tide Zones – Professional is a dynamic trend-strength visualizer designed for traders who want to interpret momentum with precision and context. By combining the Average Directional Index (ADX) with adaptive threshold logic, the indicator segments price action into distinct “tide zones” that reflect varying levels of market strength: Calm, Rising, Strong, and Falling Tides. These zones transform raw ADX readings into an interpretable framework that highlights when markets are consolidating, building momentum, trending strongly, or losing strength. Unlike standard ADX readings, which can be difficult to interpret in real time, ADX Tide Zones translate momentum shifts into a continuous, color-coded system that traders can instantly read. Whether applied to scalping, intraday, or swing trading, the indicator offers a consistent methodology for identifying actionable opportunities across assets and timeframes. How It Works The foundation of ADX Tide Zones lies in momentum analysis via the ADX. By measuring the strength (not direction) of a trend, ADX provides an objective read on when markets are gaining or losing energy. ADX Tide Zones enhances this by applying threshold logic to classify ADX values into four distinct states: Calm Tide : Low ADX values indicate sideways or consolidating conditions. Rising Tide : ADX increases past a threshold, signaling momentum building. Strong Tide : ADX remains elevated, confirming robust and sustained trend strength. Falling Tide : ADX declines after strength, hinting at exhaustion or early reversal setups. These states are displayed on the chart through adaptive visualizations (zones, bar colors, or overlays), offering real-time clarity on when to expect expansion, continuation, or contraction in price action. Interpretation Trend Analysis : By mapping transitions between tides, traders can instantly gauge whether markets are in accumulation, expansion, or exhaustion phases. Rising/Strong Tides reinforce trend continuation, while Falling Tides highlight weakening conditions. Volatility & Risk Assessment : Shifts between Calm → Rising Tide often precede volatility expansions. Falling Tides can signal a period of compression or corrective moves, warning traders to manage risk proactively. Market Context : The indicator does not dictate direction; instead, it overlays strength on top of price action, allowing traders to combine it with directional tools such as moving averages, order blocks, or liquidity zones for confirmation. Strategy Integration ADX Tide Zones adapts seamlessly to a wide range of trading strategies by translating momentum dynamics into actionable frameworks: Trend Following : Traders can align with dominant flows by entering positions when the indicator confirms a Rising Tide or Strong Tide. These conditions signal persistent directional strength, making them ideal for continuation setups. Combining directional bias with ADX confirmation reduces the risk of trading against prevailing momentum. Breakout Trading : When the market transitions from Calm Tide into a Rising Tide, it often precedes a volatility expansion. This shift highlights breakout conditions where accumulation gives way to impulsive price movement. Traders can use this transition as a timing tool to catch early entries into new momentum phases. Exhaustion Reversals : Strong Tide phases don’t last forever—when they begin to fade into Falling Tide, it can mark trend fatigue or liquidity exhaustion. This offers contrarian traders an early edge in spotting overextended moves and positioning for corrective pullbacks or full reversals. Multi-Timeframe Analysis : By overlaying higher timeframe tide zones on intraday or scalping charts, traders can filter noise and trade in alignment with larger flows. For example, combining a daily Rising Tide bias with a 15-minute breakout confirmation can significantly improve entry precision while reducing exposure to false signals. Advanced Techniques For traders seeking an extra edge, ADX Tide Zones can be pushed further with advanced methods: Volume & Liquidity Confirmation : Pair the tide transitions with volume spikes, order flow, or liquidity sweep tools. When directional strength confirmed by the ADX coincides with institutional activity, it validates setups and increases probability of follow-through. Cross-Asset Synchronization : Momentum rarely exists in isolation. Monitoring tide shifts across correlated instruments (e.g., majors vs. USD, or indices vs. risk assets) can uncover synchronized volatility events. These correlations help traders identify whether a move is isolated noise or part of a broader systemic trend. Threshold Optimization : The sensitivity of ADX Tide Zones can be fine-tuned for different trading objectives. Lower thresholds heighten responsiveness, capturing micro-moves suitable for scalpers. Higher thresholds filter minor fluctuations, isolating major structural swings that align with swing or position trading. Contextual Trade Management : Instead of using static stops or targets, traders can adapt risk management dynamically by tracking tide progression. For example, a trade initiated during Rising Tide may remain valid as long as conditions sustain, but partial profits or tighter stops can be applied once the zone shifts to Calm Tide. Inputs & Customization ADX Length : Define the lookback period for ADX calculation. Threshold Levels : Adjust sensitivity for Calm, Rising, Strong, and Falling Tides. Zone Visualization : Choose between bar coloring, background shading, or overlays. Color Customization : Configure bullish, bearish, neutral, and tide-specific colors. Multi-Timeframe Options : Enable tide readings from higher timeframes for confirmation. Why Use ADX Tide Zones ADX Tide Zones turns the complexity of momentum analysis into a visual system that highlights when markets are gearing up for moves, trending with conviction, or running out of steam. By combining adaptive ADX interpretation with customizable thresholds, traders can: Anticipate breakouts before volatility expands. Confirm the strength behind price trends. Spot exhaustion phases early to secure profits or prepare for reversals. Adapt strategies seamlessly between scalping, intraday, and swing trading. With its balance of simplicity and depth, ADX Tide Zones provides a structured lens for reading market momentum, equipping traders with the clarity needed to execute with discipline and confidence.
Wskaźnik Pine Script®
od BOSWaves
4
Tide Tracker ZonesTide Tracker Zones – Advanced Trend & Pullback Visualizer Overview Tide Tracker Zones is a sophisticated trading tool designed for traders who require clarity, precision, and actionable insights in real time. The indicator converts price action into dynamic trend zones, allowing users to instantly recognize market direction, potential reversals, and low-risk entry opportunities. By visualizing the market in this way, traders can focus on execution rather than deciphering complex charts. Unlike static indicators, Tide Tracker Zones adapts to market volatility, providing a clear picture of bullish and bearish pressure across multiple timeframes. Its visual design, including color-coded trend zones, a prominent guide line, and carefully placed signals, ensures that market behavior is easy to interpret, making it suitable for scalping, swing trading, and longer-term strategies alike. How It Works The indicator relies on dynamic upper and lower bands derived from recent price ranges and a configurable multiplier. These bands expand during volatile periods and contract when price action stabilizes, creating flexible zones that reflect the dominant market tide. A guide line tracks the active band, serving as a continuous reference for trend direction. Unlike traditional moving averages, the guide line does not clutter the chart but instead provides a subtle, intuitive indication of whether the market is in a bullish or bearish phase. Background shading reinforces this trend visually, highlighting bullish zones in one color and bearish zones in another, so the prevailing market flow is immediately clear. The system continuously evaluates price relative to the bands to determine trend direction and detect potential reversals. When price crosses a band and flips the trend, the guide line updates, and signals are generated, providing traders with actionable information without overwhelming the chart. Signals and Pullbacks Tide Tracker Zones offers visual cues that make entry points more obvious and less speculative. Trend reversal arrows are plotted when the market changes direction: BUY arrows indicate a shift from bearish to bullish, and SELL arrows indicate a shift from bullish to bearish. The indicator also highlights first pullbacks within an active trend. These pullback dots mark low-risk opportunities to enter a trend in progress, filtered to ensure that only the most relevant signals are displayed. The system uses ATR-based spacing to place arrows and dots vertically on the chart, preventing visual clutter and ensuring readability even during periods of high volatility. Color-coded zones enhance situational awareness. Bullish zones are displayed in a customizable orange, while bearish zones are shown in green. Transparency is dynamically adjusted to maintain chart clarity while still providing a clear indication of trend strength. Strategy Integration Tide Tracker Zones can be used effectively for both trend-following and pullback strategies. Traders may enter positions in the direction of the guide line and colored zone, using trend reversal arrows for confirmation. First pullback dots offer tactical entries with reduced risk, allowing traders to enter a trend after a brief retracement. Stop-loss levels can be placed just beyond the opposing trend zone, while take-profit targets may be determined using the width of the bands to account for market volatility. The indicator adapts seamlessly across multiple timeframes. Higher timeframes provide context and filter noise, while lower timeframes allow traders to refine entry timing. This makes it a versatile tool for scalping, swing trading, or longer-term positions. Advanced Techniques For traders seeking greater precision, Tide Tracker Zones can be combined with volume or momentum indicators to validate signals. Observing the sequence of trend arrows and pullback dots allows users to develop a systematic approach to entries and exits. Monitoring the width and behavior of the bands over time can also provide insights into periods of expanding or contracting volatility, helping traders anticipate market shifts. Adjustments to the spread length and multiplier allow the indicator to be tuned for different assets and market conditions. By understanding the interaction between the guide line, trend zones, and pullback signals, traders can create a robust framework for decision-making, reducing guesswork and improving consistency. Why Use Tide Tracker Zones Tide Tracker Zones provides instant clarity and actionable insight in any market. Its dynamic zones and guide line give a clear visual understanding of trend direction, while trend reversal arrows and pullback dots highlight potential entry points. Unlike traditional indicators, it adapts to volatility and changing conditions, making it reliable across multiple asset classes and timeframes. By combining trend detection, pullback analysis, and intuitive visual guidance, Tide Tracker Zones equips traders with a complete framework for disciplined, confident trading, transforming complex price action into a visual map of opportunity.
Wskaźnik Pine Script®
od BOSWaves
10
Universal Renko Bars by SiddWolfUniversal Renko Bars or UniRenko Bars is an overlay indicator that applies the logic of Renko charting directly onto a standard candlestick chart. It generates a sequence of price-driven bricks, where each new brick is formed only when the price moves a specific amount, regardless of time. This provides a clean, price-action-focused visualization of the market's trend. WHAT IS UNIVERSAL RENKO BARS? For years, traders have faced a stark choice: the clean, noise-free world of Renko charts, or the rich, time-based context of Candlesticks. Choosing Renko meant giving up your favorite moving averages, volume profiles, and the fundamental sense of time. Choosing Candlesticks meant enduring the market noise that often clouds true price action. But what if you didn't have to choose? Universal Renko Bars is a revolutionary indicator that ends this dilemma. It's not just another charting tool; it's a powerful synthesis that overlays the pure, price-driven logic of Renko bricks directly onto your standard candlestick chart. This hybrid approach gives you the best of both worlds: ❖ The Clarity of Renko: By filtering out the insignificant noise of time, Universal Renko reveals the underlying trend with unparalleled clarity. Up trends are clean successions of green bricks; down trends are clear red bricks. No more guesswork. ❖ The Context of Candlesticks: Because the Renko logic is an overlay, you retain your time axis, your volume data, and full compatibility with every other time-based indicator in your arsenal (RSI, MACD, Moving Averages, etc.). The true magic, however, lies in its live, Unconfirmed Renko brick. This semi-transparent box is your window into the current bar's real-time struggle. It grows, shrinks, and changes color with every tick, showing you exactly how close the price is to confirming the trend or forcing a reversal. It’s no longer a lagging indicator; it’s a live look at the current battle between buyers and sellers. Universal Renko Bars unifies these two powerful charting methods, transforming your chart into a more intelligent, noise-free, and predictive analytical canvas. HOW TO USE To get the most out of Universal Renko Bars, here are a few tips and a full breakdown of the settings. Initial Setup for the Best Experience For the cleanest possible view, it's highly recommended that you hide the body of your standard candlesticks, that shows only the skelton of the candle. This allows the Renko bricks to become the primary focus of your chart. → Double click on the candles and uncheck the body checkbox. Settings Breakdown The indicator is designed to be powerful yet intuitive. The settings are grouped to make customization easy. First, What is a "Tick"? Before we dive in, it's important to understand the concept of a "Tick." In Universal Renko, a Tick is not the same as a market tick. It's a fundamental unit of price movement that you define. For example, if you set the Tick Size to $0.50, then a price move of $1.00 is equal to 2 Ticks. This is the core building block for all Renko bricks. Tick size here is dynamically determined by the settings provided in the indicator. ❖ Calculation Method (The "Tick Size" Engine) This section determines the monetary value of a single "Tick." `Calculation Method` : Choose your preferred engine for defining the Tick Size. `ATR Based` (Default): The Tick Size becomes dynamic, based on market volatility (Average True Range). Bricks will get larger in volatile markets and smaller in quiet ones. Use the `ATR 14 Multiplier` to control the sensitivity. `Percentage` : The Tick Size is a simple percentage of the current asset price, controlled by the `Percent Size (%)` input. `Auto` : The "set it and forget it" mode. The script intelligently calculates a Tick Size based on the asset's price. Use the `Auto Sensitivity` slider to make these automatically calculated bricks thicker (value > 1.0) or thinner (value < 1.0). ❖ Parameters (The Core Renko Engine) This group controls how the bricks are constructed based on the Tick Size. `Tick Trend` : The number of "Ticks" the price must move in the same direction to print a new continuation brick. A smaller value means bricks form more easily. `Tick Reversal` : The number of "Ticks" the price must move in the opposite direction to print a new reversal brick. This is typically set higher than `Tick Trend` (e.g., double) to filter out minor pullbacks and market noise. `Open Offset` : Controls the visual overlap of the bricks. A value of `0` creates gapless bricks that start where the last one ended. A value of `2` (with a `Tick Reversal` of 4) creates the classic 50% overlap look. ❖ Visuals (Controlling What You See) This is where you tailor the chart to your visual preference. `Show Confirmed Renko` : Toggles the solid-colored, historical bricks. These are finalized and will never change. They represent the confirmed past trend. `Show Unconfirmed Renko` : This is the most powerful visual feature. It toggles the live, semi-transparent box that represents the developing brick. It shows you exactly where the price is right now in relation to the levels needed to form the next brick. `Show Max/Min Levels` : Toggles the horizontal "finish lines" on your chart. The green line is the price target for a bullish brick, and the red line is the target for a bearish brick. These are excellent for spotting breakouts. `Show Info Label` : Toggles the on-chart label that provides key real-time stats: 🧱 Bricks: The total count of confirmed bricks. ⏳ Live: How many chart bars the current live brick has been forming. These bars forms the Renko bricks that aren't confirmed yet. Live = 0 means the latest renko brick is confirmed. 🌲 Tick Size: The current calculated value of a single Tick. Hover over the label for a tooltip with live RSI(14), MFI(14), and CCI(20) data for additional confirmation. TRADING STRATEGIES & IDEAS Universal Renko Bars isn't just a visual tool; it's a foundation for building robust trading strategies. Trend Confirmation: The primary use is to instantly identify the trend. A series of green bricks indicates a strong uptrend; a series of red bricks indicates a strong downtrend. Use this to filter out trades that go against the primary momentum. Reversal Spotting: Pay close attention to the Unconfirmed Brick . When a strong trend is in place and the live brick starts to fight against it—changing color and growing larger—it can be an early warning that a reversal is imminent. Wait for the brick to be confirmed for a higher probability entry. Breakout Trading: The `Max/Min Levels` are your dynamic breakout zones. A long entry can be considered when the price breaks and closes above the green Max Level, confirming a new bullish brick. A short entry can be taken when price breaks below the red Min Level. Confluence & Indicator Synergy: This is where Universal Renko truly shines. Overlay a moving average (e.g., 20 EMA). Only take long trades when the green bricks are forming above the EMA. Combine it with RSI or MACD; a bearish reversal brick forming while the RSI shows bearish divergence is a very powerful signal. A FINAL WORD Universal Renko Bars was designed to solve a fundamental problem in technical analysis. It brings together the best elements of two powerful methodologies to give you a clearer, more actionable view of the market. By filtering noise while retaining context, it empowers you to make decisions with greater confidence. Add Universal Renko Bars to your chart today and elevate your analysis. We welcome your feedback and suggestions for future updates! Follow me to get notified when I publish New Indicator. ~ SiddWolf
Wskaźnik Pine Script®
od SiddWolf
15
Hybrid Heikin Ashi OverlayHybrid Heikin Ashi Overlay I personally like Heikin Ashi for its simplicity in showing clean trends. However, it tends to smooth out price action so much that we sometimes miss key signals from the actual candles. This indicator overlays Heikin Ashi-style background colors while keeping regular candles intact — giving you the best of both worlds: • Smoother trend visibility • No loss of execution precision • Customizable colors & transparency 🔹 No repainting 🔹 No strategy logic — purely visual 🔹 Designed to reduce clutter and help traders stay focused on structure Created by: @yug_and_her
Wskaźnik Pine Script®
od yug_and_her
SynchroTrend Oscillator (STO) [PhenLabs]📊 SynchroTrend Oscillator Version: PineScript™ v5 📌 Description The SynchroTrend Oscillator (STO) is a multi-timeframe synchronization tool that combines trend information from three distinct timeframes into a single, easy-to-interpret oscillator ranging from -100 to +100. This indicator solves the common problem of having to analyze multiple timeframe charts separately by consolidating trend direction and strength across different time horizons. The STO helps traders identify when markets are truly synchronized across timeframes, potentially indicating stronger trend conditions and higher probability trading opportunities. Using either Moving Average crossovers or RSI analysis as the trend definition metric, the STO provides a comprehensive view of market structure that adapts to various trading strategies and market conditions. 🚀 Points of Innovation Triple-timeframe synchronization in a single view eliminates chart switching Dual trend detection methods (MA vs Price or RSI) for flexibility across different markets Dynamic color intensity that automatically increases with signal strength Scaled oscillator format (-100 to +100) for intuitive trend strength interpretation Customizable signal thresholds to match your risk tolerance and trading style Visual alerts when markets reach full synchronization states 🔧 Core Components Trend Scoring System: Calculates a binary score (+1, -1, or 0) for each timeframe based on selected metrics, providing clear trend direction Multi-Timeframe Synchronization: Combines and scales trend scores from all three timeframes into a single oscillator Dynamic Visualization: Adjusts color transparency based on signal strength, creating an intuitive visual guide Threshold System: Provides customizable levels for identifying potentially significant trading opportunities 🔥 Key Features Triple Timeframe Analysis: Synchronizes three user-defined timeframes (default: 60min, 15min, 5min) into one view Dual Trend Detection Methods: Choose between Moving Average vs Price or RSI-based trend determination Adjustable Signal Smoothing: Apply EMA, SMA, or no smoothing to the oscillator output for your preferred signal responsiveness Dynamic Color Intensity: Colors become more vibrant as signal strength increases, helping identify strongest setups Customizable Thresholds: Set your own buy/sell threshold levels to match your trading strategy Comprehensive Alerts: Six different alert conditions for crossing thresholds, zero line, and full synchronization states 🎨 Visualization Oscillator Line: The main line showing the synchronized trend value from -100 to +100 Dynamic Fill: Area between oscillator and zero line changes transparency based on signal strength Threshold Lines: Optional dotted lines indicating buy/sell thresholds for visual reference Color Coding: Green for bullish synchronization, red for bearish synchronization 📖 Usage Guidelines Timeframe Settings Timeframe 1: Default: 60 (1 hour) - Primary higher timeframe for trend definition Timeframe 2: Default: 15 (15 minutes) - Intermediate timeframe for trend definition Timeframe 3: Default: 5 (5 minutes) - Lower timeframe for trend definition Trend Calculation Settings Trend Definition Metric: Default: “MA vs Price” - Method used to determine trend on each timeframe MA Type: Default: EMA - Moving Average type when using MA vs Price method MA Length: Default: 21 - Moving Average period when using MA vs Price method RSI Length: Default: 14 - RSI period when using RSI method RSI Source: Default: close - Price data source for RSI calculation Oscillator Settings Smoothing Type: Default: SMA - Applies smoothing to the final oscillator Smoothing Length: Default: 5 - Period for the smoothing function Visual & Threshold Settings Up/Down Colors: Customize colors for bullish and bearish signals Transparency Range: Control how transparency changes with signal strength Line Width: Adjust oscillator line thickness Buy/Sell Thresholds: Set levels for potential entry/exit signals ✅ Best Use Cases Trend confirmation across multiple timeframes Finding high-probability entry points when all timeframes align Early detection of potential trend reversals Filtering trade signals from other indicators Market structure analysis Identifying potential divergences between timeframes ⚠️ Limitations Like all indicators, can produce false signals during choppy or ranging markets Works best in trending market conditions Should not be used in isolation for trading decisions Past performance is not indicative of future results May require different settings for different markets or instruments 💡 What Makes This Unique Combines three timeframes in a single visualization without requiring multiple chart windows Dynamic transparency feature that automatically emphasizes stronger signals Flexible trend definition methods suitable for different market conditions Visual system that makes multi-timeframe analysis intuitive and accessible 🔬 How It Works 1. Trend Evaluation: For each timeframe, the indicator calculates a trend score (+1, -1, or 0) using either: MA vs Price: Comparing close price to a moving average RSI: Determining if RSI is above or below 50 2. Score Aggregation: The three trend scores are combined and then scaled to a range of -100 to +100 A value of +100 indicates all timeframes show bullish conditions A value of -100 indicates all timeframes show bearish conditions Values in between indicate varying degrees of alignment 3. Signal Processing: The raw oscillator value can be smoothed using EMA, SMA, or left unsmoothed The final value determines line color, fill color, and transparency settings Threshold levels are applied to identify potential trading opportunities 💡 Note: The SynchroTrend Oscillator is most effective when used as part of a comprehensive trading strategy that includes proper risk management techniques. For best results, consider using the oscillator in conjunction with support/resistance levels, price action analysis, and other complementary indicators that align with your trading style.
Wskaźnik Pine Script®
od PhenLabs
2