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Wedge Pattern ProHello Traders! Overview Wedge patterns are among the most reliable chart formations in technical analysis, yet identifying them manually requires constant trendline drawing and subjective judgement about whether two converging lines truly form a valid wedge. The TRN Wedge Pattern indicator automates the detection of rising and falling wedges using a proprietary swing-based converging trendline analysis — delivering real-time pattern identification with automatic entry, stop loss, and take profit levels. The indicator runs up to four concurrent detection sizes simultaneously, identifying wedge formations across multiple scales on a single chart. When a wedge breaks out, the indicator automatically computes entry, stop loss, and take profit levels, displays them on the chart, and tracks their outcome in a built-in statistics table. This gives traders a complete, structured framework for trading wedges — from pattern detection to trade evaluation. What It Detects The indicator identifies two core wedge types: Rising Wedge Forms when price makes higher highs and higher lows within converging trendlines The lower trendline rises more steeply than the upper trendline, indicating weakening buying momentum Classic breakout direction is downward (bearish) Falling Wedge Forms when price makes lower highs and lower lows within converging trendlines The upper trendline falls more steeply than the lower trendline, indicating weakening selling momentum Classic breakout direction is upward (bullish) Detection is based on swing-based slope analysis of converging trendlines. The indicator uses a proprietary algorithm to compute slope relationships between swing highs and swing lows, validates convergence geometry, and filters for steepness and duration constraints — ensuring that only structurally valid wedges are identified. The trendlines are not drawn once and left static. As new swing points form within an active pattern, the trendlines dynamically update to reflect the best-fit converging lines, producing cleaner and more accurate wedge boundaries as the pattern evolves. Feature List Quad-size detection Three target calculation modes Reverse breakout support Visualization of entry, stop-loss and take-profit levels Pattern performance statistics Calculation of risk-reward ratio Breakout alerts Customizable detection sizes and pattern length Customizable look and feel Quad-Size Detection Unlike most wedge indicators that operate on a single detection scale, TRN Wedge Pattern runs up to four independent detection layers simultaneously. Each detection layer has its own swing sensitivity (Size) and maximum pattern length (Max Length), allowing traders to scan for micro wedges and macro wedges on the same chart at the same time. Each detection size is rendered in its own color — from subtle to prominent — so traders can instantly distinguish between small, emerging patterns and large structural formations. Detection sizes must be entered in ascending order. This multi-scale approach means a small wedge completing inside a larger wedge is visible on the same chart, providing context that single-scale detectors miss entirely. snapshot Breakout Targeting Once a wedge breakout is confirmed — when price closes beyond the trendline boundary — the indicator automatically calculates and displays entry, stop loss, and take profit levels. The stop loss is placed at the most recent swing extreme opposite to the trade direction. The take profit is determined by one of three target calculation modes: Fixed Risk Reward: Uses a configurable risk-reward multiplier (default 2.0) applied to the distance between entry and stop loss. For example, with a 2R target, if the risk is 50 points, the target is 100 points from entry. Pattern Height: Uses the full height of the wedge pattern measured from its widest point. This mode ties the target directly to the pattern's geometry — larger wedges produce larger targets. Max (Fixed RR, Pattern Height): Uses the larger of the two calculations, ensuring the target is at least as large as the fixed risk-reward but can be larger if the pattern's height exceeds it. Reverse Breakout Classic wedge theory predicts that a rising wedge breaks down and a falling wedge breaks up. But experienced traders know that wedge failures happen — and those failures are themselves tradeable setups. The optional reverse breakout mode enables trading in the opposite direction of the expected breakout. When activated, a rising wedge breaking upward or a falling wedge breaking downward also generates a trade signal with its own entry, stop loss, and target levels. The statistics table tracks reverse breakout performance separately, so traders can evaluate whether these counter-setups are profitable on their specific instrument and timeframe. Pattern Performance Statistics The built-in statistics table tracks historical pattern performance in real-time. For each trade direction (long, short, reverse long, reverse short), the table displays the number of occurrences, win rate, loss rate, expired trades (timeout), and cumulative R — the total risk-adjusted return across all trades. This allows traders to evaluate whether wedge patterns actually produce an edge on the asset and timeframe they are watching, rather than relying on theoretical expectations. The table supports Dark and Light theme presets and is fully customizable in position, text size, and styling. How to Trade with this Indicator Identify the Pattern Add the TRN Wedge Pattern to your chart and look for wedge formations on the asset and timeframe of your choice. Wedges are detected in real-time. As the pattern develops, the indicator dynamically updates the trendlines until a breakout occurs or the pattern becomes invalid. You can use the built-in alerts to get notified when a breakout happens. Check Pattern Statistics Before entering a trade, check the statistics table. It shows how successful wedge breakouts have been historically on the asset and timeframe you are watching. If rising wedge breakdowns have a strong win rate but falling wedge breakouts do not, you can adjust your trade direction filter accordingly. Breakout — Entry, Stop Loss and Target When a breakout is confirmed, the indicator displays the entry price line (EP), stop loss line (SL), and take profit line (TP) directly on the chart. The entry is at the next bar open after the breakout candle closes beyond the wedge boundary. Set your stop-loss at the SL level and your take-profit at the TP level. The risk-reward ratio is displayed on the entry label. Detection Sizing Adjust the four detection sizes to match your trading style. Smaller swing sizes (e.g. 7) detect frequent, shorter-duration wedges suited for intraday trading. Larger swing sizes (e.g. 21–35) detect structural patterns more suited for swing or position trading. Each detection size has an independent Max Length setting that limits how far back in bars the pattern can extend. Alerts Rising Wedge Breakout (Short) — classic rising wedge breaking down Falling Wedge Breakout (Long) — classic falling wedge breaking up Rising Wedge Reverse Breakout (Long) — rising wedge breaking upward Falling Wedge Reverse Breakout (Short) — falling wedge breaking downward Any Classic Wedge Breakout — any breakout in the expected direction Any Wedge Breakout — any breakout in any direction What Makes This Indicator Unique Standard wedge detection tools typically use fixed lookback windows and detect only one pattern scale at a time. TRN Wedge Pattern takes a fundamentally different approach: four independent detection layers run concurrently with proprietary swing-based trendline analysis that dynamically refines pattern boundaries as new data arrives. The result is more precise wedge detection across multiple timeframe scales simultaneously. The addition of reverse breakout tracking and per-direction performance statistics provides a level of analytical depth that goes beyond basic pattern detection — enabling traders to make data-driven decisions about which wedge setups are worth trading on their specific instrument. Key Settings Detection Sizes 1–4: Swing sensitivity for each detection layer. Must be in ascending order. Each size has an independent Max Length to limit pattern duration. Defaults: 7, 14, 21, 35. Trade Directions: Filter for Long + Short, Long Only, or Short Only. Target Type: Fixed Risk Reward, Pattern Height, or Max of both. Default: Fixed Risk Reward at 2.0R. Reverse Breakout: Enable to also detect and manage breakouts in the non-classic direction. Includes independent target type for reverse trades. Default: Off. Log Scale: Enable for correct slope calculations on instruments with large price ranges. Recommended for most assets. Default: On. Trade Timeout: Maximum trade duration in bars. If neither target nor stop loss is reached within this window, the trade counts as expired in the statistics. Default: 500 bars. All visual elements — pattern fill colors, outline styles, line widths, trade visualization colors, and statistics table styling — are fully customizable. Designed to provide a structured, data-driven framework for trading one of the most established patterns in technical analysis. Risk Disclaimer The content, tools, scripts, articles, and educational resources offered by TRN Trading are intended solely for informational and educational purposes. Remember, past performance does not ensure future outcomes.
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TRN-Trading tarafından
FibAlgo - Adaptive Deviation Channels█ OVERVIEW FibAlgo - Adaptive Deviation Channels is a statistical band indicator that creates dynamic support and resistance zones around a central moving average by analyzing the historical percentage deviations of detected pivot points. Rather than using fixed multipliers or standard deviations of price alone, it measures how far past pivot highs and pivot lows have deviated from the moving average, then projects those statistical boundaries forward in real time. The indicator features configurable moving average types, a zigzag-based pivot detection engine, three band calculation methods (Average, Standard Deviation, Most Frequent), and an analysis dashboard. █ CONCEPTS Pivot-Based Deviation Measurement The core idea is that market extremes tend to reach statistically consistent distances from a mean. The indicator uses a zigzag algorithm to identify significant pivot highs and pivot lows, then measures each pivot's percentage distance from the moving average at that moment. These measurements are stored in separate arrays for highs and lows, forming two independent statistical distributions. Three Calculation Methods The collected deviation data can be summarized using three different statistical methods: Average — Places bands at the mean percentage deviation. Shows the typical reversal distance from the MA. Standard Deviation — Uses the statistical standard deviation of the deviations. Highlights volatility-adjusted extremity zones. Most Frequent — Identifies the most commonly occurring deviation percentage using histogram binning. Marks the most repetitive exhaustion distance. Asymmetric Bands Unlike symmetric channel indicators, this indicator calculates upper and lower bands independently. The upper band is derived entirely from pivot high deviations, while the lower band uses pivot low deviations. This reflects the common market behavior where upside and downside volatility profiles differ. █ HOW IT WORKS Step 1 — Moving Average Calculation A configurable moving average (SMA, EMA, WMA, TMA, VIDYA, WWMA, ZLEMA, TSF, HMA, or VWMA) is calculated as the central baseline. This serves as the reference point for all deviation measurements. Step 2 — Pivot Detection A zigzag algorithm with a configurable period identifies significant pivot highs and pivot lows in the price series. Each completed pivot is recorded with its price and bar index. Step 3 — Deviation Collection For each completed pivot, the indicator calculates the percentage distance between the pivot price and the moving average value at that pivot's bar. Pivot high deviations are stored separately from pivot low deviations, up to a configurable historical limit. Step 4 — Band Calculation The stored deviation percentages are processed using the selected method (Average, Standard Deviation, or Most Frequent) to produce a single representative value for each side. This percentage is applied to the current MA value to produce the upper and lower band prices. Step 5 — Visualization The moving average is plotted as the centerline, with upper (resistance) and lower (support) bands drawn from the calculated deviations. A filled zone between the bands provides visual context. An optional dashboard displays live statistics including sample sizes, average distances, band widths, and current price position relative to the bands. █ FEATURES Multiple Moving Average Types 10 moving average options: SMA, EMA, WMA, TMA, VIDYA, WWMA, ZLEMA, TSF, HMA, VWMA. Configurable period and price source. Adaptive Deviation Bands Bands derived from actual pivot deviation statistics, not fixed multipliers. Three calculation methods: Average, Standard Deviation, Most Frequent. Asymmetric upper/lower bands calculated independently. Configurable historical pivot lookback (1–500). Analysis Dashboard Live statistics: sample size, average distance, band width, MA price, band prices. Current price zone status indicator. Configurable position and text size. Debug Mode Optional pivot labels showing individual deviation percentages. Per-pivot statistics including running averages and band values. Alert System Upper Band Break Up — triggers when price crosses above the upper band. Upper Band Break Down — triggers when price returns below the upper band. Lower Band Break Down — triggers when price crosses below the lower band. Lower Band Break Up — triggers when price returns above the lower band. Each alert type can be toggled individually. Messages include ticker, timeframe, event type, and price. █ HOW TO USE Getting Started Add the indicator to any chart. The default settings (SMA 20, PH/PL Period: 21, Historical Pivots: 50, Average method) provide a balanced starting point for most instruments on 4H to 1D timeframes. Reading the Chart White dots (MA) = Central moving average baseline. Upper band (maroon) = Statistical resistance zone based on pivot high deviations. Lower band (teal) = Statistical support zone based on pivot low deviations. Filled zone = Area between the bands representing the normal deviation range. Dashboard = Live summary of sample sizes, distances, band widths, and price position. Key Inputs MA Period : Controls the moving average smoothing length. MA Type : Select from 10 different moving average algorithms. PH/PL Period (2–200): Controls pivot detection sensitivity. Higher values detect major pivots, lower values detect minor swings. Historical Pivots (1–500): Number of past pivots used for deviation statistics. Band Calculation : Choose between Average, Standard Deviation, or Most Frequent. █ LIMITATIONS This indicator is a technical analysis tool, not a trading system. It does not generate buy/sell orders. Band accuracy depends on sufficient historical pivot data. With very few detected pivots, bands may not be statistically meaningful. The Most Frequent method uses histogram binning with 10 categories. Results may vary with different data distributions. Asymmetric bands reflect historical behavior. In rapidly changing market conditions, past deviation patterns may not persist. Volume-weighted moving average (VWMA) requires reliable volume data. On instruments with sparse volume, VWMA results may be less informative. Very low PH/PL Period values will detect many minor pivots and may produce narrow bands that reflect noise rather than significant levels. █ CREDITS The moving average implementations (VIDYA, WWMA, ZLEMA, TSF, HMA) follow standard technical analysis formulas. The pivot-based deviation measurement system, asymmetric band calculation from separate pivot high/low distributions, histogram-based most-frequent analysis, and the adaptive deviation channel framework are original contributions. Look first. Then leap.
Pine Script® göstergesi
FibAlgo tarafından
Wedge Pattern [UAlgo]Overview Wedge Pattern is a chart overlay that detects rising and falling wedge formations using strict pivot based rules and a validation engine that enforces classic technical analysis requirements. The script builds two trendlines from confirmed pivot highs and pivot lows, verifies that both boundaries converge toward an apex in the future, and ensures that price remains contained within the wedge until a valid breakout occurs. The indicator is designed to reduce subjective pattern drawing. It requires a minimum number of touches on each boundary, checks that no candle closes outside the wedge during formation, and treats the wedge as invalid if price breaks in the wrong direction or if the two boundaries collapse into each other. When a breakout is confirmed, the script updates the wedge label and can project a measured target based on the initial wedge width. This tool is meant for traders who want automatic, rules driven wedge identification with clear status states, breakout confirmation, and optional target projection on the chart. 🔹 Features 1) Pivot Based Wedge Construction The script identifies swing highs and swing lows using pivot detection. Each confirmed pivot is stored as a Coordinate containing bar index and price. When enough pivots exist, the script forms: An upper trendline from the earliest required pivot high to the most recent pivot high A lower trendline from the earliest required pivot low to the most recent pivot low Pivot Left and Pivot Right control swing sensitivity. Larger values produce fewer but stronger pivots. Smaller values react faster but may include minor swings. 2) Minimum Touch Requirement Per Boundary A wedge is only considered valid when there are at least a user defined number of pivot touches for both the upper and lower boundary. This aligns with standard charting practice where two points draw a line, but three points validate it. Min Touches per Line controls the minimum pivot count required before a wedge can be formed. 3) Objective Wedge Type Classification After calculating slopes for the upper and lower trendlines, the script classifies wedge type using slope direction and relative steepness: Rising wedge requires both slopes to be positive and the lower slope to be steeper than the upper slope Falling wedge requires both slopes to be negative and the upper slope to be steeper than the lower slope in the negative direction This ensures convergence and distinguishes wedges from simple channels. 4) Apex Projection and Future Convergence Rule The wedge apex is computed as the intersection point of the two trendlines. A valid wedge requires the apex index to be in the future. This confirms that the boundaries are converging and that the pattern is not already expired at detection time. 5) Mandatory Containment Rule During Formation A core validation rule enforces that no closes occur outside the wedge boundaries while the wedge is forming. If any close is above the upper boundary or below the lower boundary by at least one tick, the candidate wedge is rejected. This prevents premature breakouts from being treated as valid patterns. 6) Live Updating Boundaries Once a wedge becomes active, the script extends both boundary lines on every bar by updating their end coordinates using the trendline slope. This keeps the wedge aligned with current time and allows breakout checks to remain accurate. 7) Breakout Detection and Status Labeling The script defines correct breakouts by wedge type: Rising wedge is bearish biased, so a valid breakout is a close below the lower boundary Falling wedge is bullish biased, so a valid breakout is a close above the upper boundary When a valid breakout occurs, the wedge status is updated to BROKEOUT and the label color reflects direction. If price breaks the opposite boundary, or if boundaries collapse, the wedge is marked FAILED. 8) Target Projection Using Measured Move If enabled, the script projects a target line after breakout. The target distance is based on the wedge width measured near the start of the pattern, then projected from the breakout boundary: For a rising wedge breakdown, the target is placed below the lower boundary by the measured width For a falling wedge breakout, the target is placed above the upper boundary by the measured width A target label prints the projected price level. 🔹 Calculations 1) Pivot Detection and Coordinate Storage Swing points are detected using symmetric pivots: float ph = ta.pivothigh(high, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT) float pl = ta.pivotlow(low, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT) Confirmed pivots are stored using the pivot right offset so the bar index matches where the pivot actually formed: if not na(ph) pivot_highs.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, ph)) if not na(pl) pivot_lows.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, pl)) Arrays are capped to keep only recent pivot history. 2) Trendline Construction and Slope Calculation When enough pivots exist, the script picks the earliest required touch and the most recent touch for both highs and lows, then builds trendlines: Coordinate p1h = pivot_highs.get(pivot_highs.size() - MIN_TOUCHES_PER_LINE) Coordinate pNh = pivot_highs.get(pivot_highs.size() - 1) Trendline tl_up = Trendline.new(p1h, pNh, 0.0, na) tl_up.slope := tl_up.calc_slope() Slope is defined as: (this.end.price - this.start.price) / (this.end.index - this.start.index) The same logic is used for the lower trendline from pivot lows. 3) Wedge Type Rules Wedge type is derived from slope sign and convergence: Rising wedge: if tl_up.slope > 0 and tl_lo.slope > 0 and tl_lo.slope > tl_up.slope w_type := 1 Falling wedge: if tl_up.slope < 0 and tl_lo.slope < 0 and tl_up.slope < tl_lo.slope w_type := 2 This ensures both boundaries move in the same direction while converging. 4) Apex Index Calculation The apex index is calculated from the line intersection of the two trendlines: float apex_x = (y2 - y1 + m1 * x1 - m2 * x2) / (m1 - m2) math.round(apex_x) A candidate wedge is only accepted if apex index is greater than the current bar index. 5) Containment Validation Using Close Prices The script checks each bar from the wedge start to the current bar to ensure that close remains within boundaries: float up_p = this.upper.get_price_at(i) float lo_p = this.lower.get_price_at(i) float c_p = close if c_p > up_p + syminfo.mintick or c_p < lo_p - syminfo.mintick violated := true If violated is true, the wedge is rejected. 6) Live Boundary Update and Breakout Checks For active wedges, end coordinates are updated each bar using the projected boundary price: line.set_y2(w.upper.line_id, w.upper.get_price_at(bar_index)) line.set_y2(w.lower.line_id, w.lower.get_price_at(bar_index)) Breakout checks use the current close against projected boundary prices: bool b_up = close > u_p bool b_dn = close < l_p Correct breakout: Rising wedge requires b_dn Falling wedge requires b_up Invalidation: Rising wedge fails if b_up Falling wedge fails if b_dn Any wedge fails if upper boundary price is less than or equal to lower boundary price 7) Target Projection Measured width is derived from the initial distance between boundaries near the start of the wedge, then projected from the breakout side: float m = math.abs(w.upper.start.price - w.lower.get_price_at(w.upper.start.index)) float t = w.is_rising ? l_p - m : u_p + m The target line and label are drawn forward a fixed number of bars to provide a clear reference after breakout.
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UAlgo tarafından
1
Donchian Ribbon [UAlgo]Donchian Ribbon is a chart-overlay Donchian Channel ribbon that visualizes multiple lookback lengths at the same time. Instead of plotting a single Donchian Channel, the script builds a fixed stack of channels that increase in length and blends them into a clean, layered ribbon above and below price using progressive fills. The goal is to make market structure and regime easier to read without clutter: - When the ribbon expands and stays orderly (fast boundaries leading, slow boundaries following), it often reflects sustained range expansion and more directional flow. - When the ribbon compresses and bands overlap frequently, it typically reflects consolidation, rotational behavior, and reduced clarity. - The slowest channel provides the structural “outer frame” of the market’s recent range, while shorter channels react first and show how quickly the range is shifting. This indicator is designed as a context tool. It does not attempt to “predict” direction by itself, but it gives a high-quality visual map of evolving highs/lows across multiple sensitivities so you can align entries, risk, and expectations with the current regime. 🔹 Features 1) Multi-Length Donchian Stack (Ribbon Engine) The script constructs several Donchian Channels from a Base Length and a Step Length. Each band represents a different sensitivity level: - Fast bands respond quickly to recent highs and lows. - Slow bands respond more conservatively and define broader containment. By stacking these lengths together, you can see short-term responsiveness and higher-level structure simultaneously. 2) Two-Sided Ribbon (Upper and Lower Envelopes) The indicator visualizes both sides of the Donchian framework: - Upper ribbon is built from stacked Donchian highs (highest highs per length). - Lower ribbon is built from stacked Donchian lows (lowest lows per length). This keeps interpretation intuitive: price pressing into the upper ribbon suggests pressure toward recent highs, while leaning into the lower ribbon suggests pressure toward recent lows. 3) Gradient Depth via Layered Fills (Clean Charts) Instead of drawing many lines, the script fills the space between consecutive bands. Transparency is gradually adjusted from the fast band to the slow band, producing a smooth depth effect that stays readable even on busy charts. Intermediate plots are intentionally hidden so the ribbon remains the main visual output. 4) Regime Readability (Expansion vs Compression) Because each band has a different lookback length, the ribbon naturally communicates volatility and state: - Expansion: spacing between fast and slow bands increases, commonly seen in stronger directional phases. - Compression: spacing collapses and bands cluster, commonly seen in ranges, pauses, or choppy rotation. This helps you quickly decide whether to treat price action as breakout-oriented, trend-continuation, or mean-reverting. 5) Trend Baseline Reference (Slow Midpoint) A baseline is plotted using the midpoint of the slowest channel. This provides a stable reference that helps you judge whether price is operating in the upper or lower half of the broader range structure. 🔹 Calculations 1) Donchian High, Low, and Midpoint Per Band Each Donchian band is computed from its own length: - High = highest high over the lookback length - Low = lowest low over the lookback length - Mid = average of High and Low id.high := ta.highest(id.length) id.low := ta.lowest(id.length) id.mid := math.avg(id.high, id.low) 2) Length Sequencing (Base Length + Step Length) The indicator creates a fixed number of bands. Lengths are built as: - Band 1: base_length - Band 2: base_length + step_length - Band 3: base_length + 2 * step_length - ... - Final band: base_length + (ribbon_count - 1) * step_length This yields a consistent progression from fast to slow sensitivity. int len = base_length + (i * step_length) channels.push(DonchianChannel.new(len)) 3) Iterative Updates with Arrays and Methods All bands are stored in an array and updated every bar using a unified method call. This ensures every band follows identical rules and makes the logic scalable and maintainable. for dc in channels dc.update() 4) Upper Ribbon Construction (Layered Fills Between Highs) The upper ribbon is created by filling between consecutive Donchian highs. Each layer uses the same upper tone with progressively stronger visibility toward the slow band. fill(p_fast_high, p_mid1_high, color.new(col_upper, 90), "Ribbon Upper 1") fill(p_mid1_high, p_mid2_high, color.new(col_upper, 80), "Ribbon Upper 2") fill(p_mid2_high, p_mid3_high, color.new(col_upper, 70), "Ribbon Upper 3") fill(p_mid3_high, p_slow_high, color.new(col_upper, 60), "Ribbon Upper 4") 5) Lower Ribbon Construction (Layered Fills Between Lows) The lower ribbon is created by filling between consecutive Donchian lows with the lower tone, again using progressive transparency. fill(p_fast_low, p_mid1_low, color.new(col_lower, 90), "Ribbon Lower 1") fill(p_mid1_low, p_mid2_low, color.new(col_lower, 80), "Ribbon Lower 2") fill(p_mid2_low, p_mid3_low, color.new(col_lower, 70), "Ribbon Lower 3") fill(p_mid3_low, p_slow_low, color.new(col_lower, 60), "Ribbon Lower 4") 6) Trend Baseline (Slow Midpoint) The baseline is the midpoint of the slowest Donchian band, plotted as a stable center reference for the broadest range framework. plot(dc_slow.mid, "Trend Baseline", color = color.from_gradient(0.5, 0, 1, col_lower, col_upper), linewidth = 2) 7) Visualization Choice (Hidden Internals, Visible Structure) To keep charts clean, most intermediate plots are hidden and the ribbon fills do the heavy lifting visually, while the slow boundaries remain visible as the outer frame. p_fast_high = plot(dc_fast.high, "Fast High", color = color.new(col_upper, 80), display = display.none) p_fast_low = plot(dc_fast.low, "Fast Low", color = color.new(col_lower, 80), display = display.none) p_slow_high = plot(dc_slow.high, "Slow High", color = color.new(col_upper, 50)) p_slow_low = plot(dc_slow.low, "Slow Low", color = color.new(col_lower, 50))
Pine Script® göstergesi
UAlgo tarafından
Rolling Liquidity Clusters Channel [LuxAlgo]The Rolling Liquidity Clusters Channel indicator identifies dynamic support and resistance zones by calculating levels that maximize candle wick touches while strictly avoiding intersections with candle bodies within a rolling window. This tool provides a unique perspective on liquidity clusters, highlighting price levels where historical rejection is most concentrated without being invalidated by price "closing" through them. 🔶 USAGE The indicator plots a channel consisting of an Upper Level, a Lower Level, and a Mid Level. The space between these levels is filled with a vertical gradient to visually represent the strength of the liquidity zone. Upper Level (Red): Represents a resistance zone where the most upper wicks are concentrated without any candle body in the lookback window crossing above it. Lower Level (Green): Represents a support zone where the most lower wicks are concentrated without any candle body in the lookback window crossing below it. Mid Level (Orange): Represents the equilibrium or average of the current liquidity channel. Traders can use these levels to identify potential reversal points or areas of price consolidation. A breakout from the channel might indicate a shift in market structure as price moves beyond the most inclusive "non-broken" wick levels. 🔶 DETAILS The script employs a specific constraint logic to ensure the levels represent true "untouched" liquidity: 🔹 Body-Crossing Constraint Before identifying the wick touches, the script calculates the highest candle body high and lowest candle body low within the user-defined window. The resulting levels are guaranteed to stay outside of this "body zone," ensuring that the plotted levels represent prices that the market reached but failed to sustain via a close. 🔹 Maximizing Touches To find the most significant level, the algorithm searches for the most inclusive price point. For the upper level, it identifies the lowest "high" that remains above all candle bodies. For the lower level, it identifies the highest "low" that remains below all candle bodies. This mathematical approach effectively finds the level where the most price action "clusters" via wicks. 🔹 Vertical Gradient Fills The visual style uses a vertical gradient fill. The upper half fades from 90% transparency at the Upper Level (Red) to 100% transparency at the Mid Level. The lower half follows a similar logic, fading from the Lower Level (Green) toward the center. This creates a "glow" effect, emphasizing the outer boundaries where liquidity is highest. 🔶 SETTINGS Window Size: The number of bars used for the rolling calculation. A larger window creates more stable, long-term levels, while a smaller window adapts quickly to recent price action. Upper Level: Customize the color of the upper resistance level and its associated gradient fill. Lower Level: Customize the color of the lower support level and its associated gradient fill. Mid Level: Customize the color of the central equilibrium line.
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LuxAlgo tarafından
Adaptive Bounds RSI [LuxAlgo]The Adaptive Bounds RSI indicator utilizes online 1D K-Means clustering to dynamically adapt RSI overbought and oversold bounds based on evolving market conditions. Unlike traditional RSI thresholds (70/30) that remain static, this tool identifies five shifting clusters to better categorize price action into regimes ranging from deep discount to extreme premium. 🔶 USAGE The indicator provides a more responsive way to identify overextended market conditions by learning from recent RSI distributions. Instead of relying on fixed levels that may be irrelevant in strong trends, the adaptive bounds expand and contract based on the volatility and momentum of the asset. 🔹 Regime Classification The tool classifies the market into five distinct regimes based on five internal centroids (clusters): Extreme Premium (Upper Bound): Represents highly overextended bullish conditions. Bullish: The zone between the center and the upper bound. Neutral: The area surrounding the 50-level midline. Bearish: The zone between the center and the lower bound. Deep Discount (Lower Bound): Represents highly overextended bearish conditions. 🔹 Signal Markers The indicator plots circular markers directly on the RSI line when the oscillator crosses the adaptive bounds: A Bullish Marker appears when the RSI crosses below the adaptive lower bound (Deep Discount). A Bearish Marker appears when the RSI crosses above the adaptive upper bound (Extreme Premium). To prevent signal clutter, these markers only reappear once the RSI has returned to cross the 50-level midline, ensuring the market has "reset" before a new overextended signal is generated. 🔶 DETAILS The core of this indicator is an Online 1D K-Means algorithm. Unlike standard clustering which requires a full dataset, this online version updates its centroids bar-by-bar. When a new RSI value is calculated, the algorithm determines which of the five centroids is closest to that value. It then shifts that "winning" centroid toward the RSI value by a factor determined by the Learning Rate. This allows the boundaries to "breathe" with the market; in a persistent uptrend, the upper bound will naturally migrate higher to avoid premature overbought signals. 🔶 SETTINGS 🔹 Oscillator Settings RSI Length: Determines the lookback period for the underlying Relative Strength Index calculation. 🔹 K-Means Settings Learning Rate (K-Means): Controls how quickly the adaptive bounds react to new data. A higher value makes the bounds move faster, while a lower value provides more stable, "sticky" boundaries. 🔹 Visuals Lower Bound Color: Sets the color for the lower adaptive boundary and bullish signals. Upper Bound Color: Sets the color for the upper adaptive boundary and bearish signals. Auto RSI Color: When enabled, the RSI line matches the chart's foreground color. RSI Color: Sets the color of the RSI line when "Auto RSI Color" is disabled. 🔶 ALERTS Regime Flip: Triggers when the market transitions from a Neutral state into a trending cluster (Bullish or Bearish). Lower Bound Cross: Triggers when the RSI crosses into the Deep Discount zone. Upper Bound Cross: Triggers when the RSI crosses into the Extreme Premium zone.
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LuxAlgo tarafından
3
Neighboring Price Bands [LuxAlgo]The Neighboring Price Bands indicator provides dynamic support and resistance levels based on the local statistical distribution of historical prices relative to the current market position. Unlike traditional volatility bands that rely on fixed standard deviations, this tool identifies "price neighbors" within a sorted historical buffer to determine where the market has previously found friction. 🔶 USAGE The indicator helps traders identify potential reversal zones and breakout opportunities by analyzing the density of price action around the current level. 🔹 Support and Resistance The bands act as flexible zones of interest. The upper (green) band represents a bullish boundary derived from historical prices slightly higher than the current price, while the lower (red) band represents a bearish boundary from prices slightly lower. When the price interacts with these bands, it is entering a zone where historical price density suggests a potential reaction. 🔹 Price Discovery & Breakouts A unique feature of this tool is the "Discovery" mechanism. If the current price moves beyond the range of its historical "neighbors" (e.g., reaching a new multi-period high or low), the corresponding band will disappear, and a background highlight will appear. Bullish Discovery: A green background highlight indicates the price is entering uncharted territory relative to the historical buffer, suggesting a strong bullish breakout. Bearish Discovery: A red background highlight indicates the price is dropping below its local historical distribution, suggesting a strong bearish breakdown. 🔶 DETAILS The script maintains a historical buffer of prices, which it constantly sorts to create a price distribution. For every new bar, the algorithm performs the following: It locates the current price within the sorted distribution. It identifies a specific number of "neighbors" (K) above and below that position. It calculates a specific percentile within those neighbors to plot the bands. Because the bands are derived from actual price frequency rather than a calculation like standard deviation (Bollinger Bands) or Average True Range (Keltner Channels), they adapt more specifically to "sticky" price levels where the market has historically spent time. 🔶 SETTINGS Historical Buffer (Bars): The total number of past bars used to build the price distribution. A larger buffer includes more historical context, while a smaller buffer makes the bands more reactive to recent local ranges. Neighboring Range (K): Determines how many samples from the sorted distribution are used to calculate the bands. A smaller K makes the bands tighter and more sensitive to the immediate price position. Percentile: Controls the width of the bands within the neighbor groups. Higher values push the bands further away from the current price. Smoothing: Applies an SMA to the resulting bands to reduce noise and provide a cleaner visual output.
Pine Script® göstergesi
LuxAlgo tarafından
LOWESS Channel & Extrapolation [LuxAlgo]The LOWESS Channel & Extrapolation indicator calculates a Locally Weighted Scatterplot Smoothing (LOWESS) curve to define a non-linear trend and projects it into future bars using local regression slopes. It provides a dynamic channel based on the standard deviation of residuals, helping traders identify overextended price levels and potential mean-reversion points. The LOWESS Channel & Extrapolation indicator is subject to repainting and displayed retrospectively. 🔶 USAGE This tool is primarily designed for trend analysis and identifying exhaustion points. Because the LOWESS algorithm recalculates based on the most recent data window, the entire historical curve can adjust, making it a powerful tool for backtesting and analyzing past market structures rather than for real-time signal generation without confirmation. 🔹 Trend Identification The central fit line represents the smoothed local trend. When the curve is sloping upward, the local market sentiment is considered bullish; conversely, a downward slope indicates bearish sentiment. 🔹 Overbought/Oversold Conditions The dashed outer channels represent a volatility-adjusted boundary. When price moves outside these boundaries, it is statistically overextended relative to the local trend, often preceding a move back toward the mid-line. 🔹 Extrapolation The indicator extends the most recent local regression slope into the future. This provides a "path of least resistance" projection based on the current momentum of the smoothed curve. 🔶 DETAILS The LOWESS (Locally Weighted Scatterplot Smoothing) algorithm works by performing a separate weighted linear regression for every data point in the window. It uses a "tricube" weighting function, which ensures that data points closer to the focal point have a higher influence on the fit than points further away. This results in a curve that is much more flexible than a simple moving average and can adapt to complex price cycles without the lag associated with traditional filters. The channel width is determined by calculating the Standard Deviation of the residuals (the difference between the actual price and the LOWESS fit). This ensures the channel expands during high volatility and contracts during consolidation. 🔶 SETTINGS Length : Determines the number of historical observations used to fit the LOWESS curve. Larger values result in a smoother, more macro trend. Span : The fraction of data points used for each local regression. A higher span (closer to 1.0) creates a smoother line, while a lower span allows the curve to follow price more tightly. Channel Multiplier : Multiplier applied to the standard deviation of residuals to define the distance of the upper and lower bands from the mid-line. Extrapolation Bars : The number of bars to project the current trend into the future. Fit Color : Sets the color and transparency of the central LOWESS line. Channel Color : Sets the color of the dashed outer bands and the background fill. Line Width : Adjusts the thickness of the central fit line.
Pine Script® göstergesi
LuxAlgo tarafından
Rolling Trendline [LuxAlgo]The Rolling Trendline indicator provides a dynamic, self-adjusting trendline that tracks price action using linear regression slope projections and automatically resets when price deviates beyond a specific threshold. 🔶 USAGE The indicator is designed to provide a continuous trend bias without the "lag" often associated with static linear regression lines. It projects a line forward based on a calculated slope and only shifts its trajectory when the market demonstrates a significant change in momentum. The addition of ATR-based volatility zones allows traders to visualize a range of expected price action around the projected trend, providing a buffer that accounts for market volatility at the time of each trend reset. 🔹 Interpreting the Line and Zones Bullish Phase (Green): Indicates an upward-sloping trajectory. The trendline and its surrounding ATR zones will be colored green, suggesting a bullish bias. Bearish Phase (Red): Indicates a downward-sloping trajectory. The trendline and its surrounding ATR zones will be colored red, suggesting a bearish bias. ATR Zones: These shaded areas represent a volatility-adjusted range. As long as price remains within the deviation threshold, the zones follow the trendline's trajectory. Reset Points: Visualized by a small circle and a break in the line, these occur when price moves too far from the projection. At this moment, the indicator re-anchors to the current price and recalculates both the slope and the ATR zone width. 🔶 DETAILS The indicator follows a specific logic flow to maintain its "Rolling" characteristic: 1. Slope Calculation: It calculates the Linear Regression slope over a user-defined lookback period. This slope represents the average rate of change in price. 2. Projection: On every new bar, the indicator projects the next value of the trendline by adding the active slope to the previous trendline value. 3. Deviation Check: The indicator calculates a Standard Deviation threshold. If the distance between the current price and the projected trendline value exceeds this threshold, a reset is triggered. 4. Re-Anchoring: Upon a reset, the trendline "rolls" to the current price and adopts the most recent linear regression slope. Simultaneously, it captures the current ATR to set the width of the new trend zones. 🔶 SETTINGS 🔹 Trend Settings Slope Lookback: The period used to calculate the linear regression slope. Higher values result in a slope that considers more historical data. Deviation Multiplier: Determines how far price can deviate from the trendline before a reset occurs. Slope Divisor: This setting allows you to tame the trajectory of the line. Higher values divide the captured slope, resulting in flatter trendlines. Source: The price data used for all calculations (default is Close). 🔹 ATR Zones ATR Length: The lookback period used for the Average True Range calculation, which determines the width of the volatility bands. ATR Multiplier: Controls the width of the shaded zones around the trendline. 🔹 Visuals Bullish/Bearish Trend Colors: Customizes the colors for the trendline and zones based on the slope direction. Zone Color: Sets the base color for the ATR area fills. Line Width: Adjusts the thickness of the primary rolling trendline.
Pine Script® göstergesi
LuxAlgo tarafından
2
Whittaker Envelope [LuxAlgo]The Whittaker Envelope indicator is a visualization tool that uses Asymmetric Least Squares (ALS) to create a smooth, non-linear envelope that adapts to price extremes and troughs. This indicator is for visualization purposes only and should not be used for direct trading signals without confirmation. It is important to note that this script is displayed retrospectively . Because it calculates the best fit over a fixed historical window (the last N bars) using an iterative optimization process, the entire shape of the envelope can change as new data arrives. This means the indicator repaints and should be used to analyze overall market structure and volatility rather than for real-time execution. 🔶 USAGE The Whittaker Envelope provides a unique way to visualize the "breathing" of the market. By applying different asymmetry parameters, the indicator generates a lower boundary that seeks out price troughs and an upper boundary that seeks out price peaks. 🔹 Trend and Volatility Analysis The area between the upper and lower bounds represents the smoothed price range. A widening envelope suggests increasing volatility, while a narrowing one indicates consolidation. The dashed midline acts as a smoothed average of these two extremes, providing a baseline for the current trend. 🔹 Extrapolation The tool includes a linear extrapolation feature that projects the current trajectory of the envelope into the future. This can help users visualize the potential direction of the trend if the current momentum persists. 🔶 DETAILS The script implements the Whittaker-Eilers smoothing algorithm, which balances two conflicting goals: fitting the data points closely and keeping the resulting curve smooth. By using Asymmetric Least Squares (ALS), we assign different weights to prices depending on whether they are above or below the curve. For the upper band, we use a high asymmetry value ( p ) so the curve is "pushed" toward the peaks. For the lower band, a very low p value is used to "pull" the curve toward the troughs. 🔶 SETTINGS Length : The number of recent bars included in the calculation window. Lambda (λ) : The smoothing factor. Higher values result in a stiffer, straighter envelope, while lower values allow the bands to follow price more closely. Lower Asymmetry (p) : Controls how the lower band reacts to prices. Typically set to a very low value (e.g., 0.001) to ensure it follows the bottom of the price action. Upper Asymmetry (p) : Controls how the upper band reacts to prices. Typically set to a very high value (e.g., 0.999) to ensure it follows the top of the price action. Iterations : The number of times the ALS algorithm runs to refine the fit. More iterations provide a more accurate envelope but require more computational power. Extrapolation : The number of bars to project the current slope of the bands into the future. Source : The price data used for the calculation (default is Close).
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LuxAlgo tarafından
WC- Multi-Indicator - Swing High/Low, Fibo, DB/DT, Strong VolumeWC – Multi Indicator (Structure, Fibonacci Retracement, Double Top/Bottom Pattern, EMA & Volume Strength Analysis) WC Multi Indicator is an advanced technical analysis tool and Market Structure & Fibonacci Retracement Indicator designed for price action trading analysis. It automatically detects Swing High/Low, confirms Major Structure shifts (MSH/MSL), plots Fibonacci retracement zones, identifies Double Top & Double Bottom patterns, tracks EMA crossovers, and highlights strong volume breakout candles — making it suitable for intraday and swing trading analysis. This script is built for objective chart study and disciplined technical interpretation. Key Features ✔ Automatic detection of Swing High (SH) and Swing Low (SL) ✔ ATR-based confirmation of Major Structure High (MSH) and Major Structure Low (MSL) ✔ Confirmed Fibonacci retracement zones (0.382–0.786) following structure shifts ✔ Live Fibonacci levels for forming swings ✔ ATR-based Double Top / Double Bottom identification ✔ Breakout validation only on strong volume candle close ✔ EMA 50 & EMA 200 trend crossover visualization ✔ Strong bullish/bearish candle highlighting based on volume and body strength Designed For • Structure-based price action analysis • Intraday and swing trading strategies • Pullback and breakout analysis • Trend confirmation with volume validation • Rule-based chart observation Usage Apply on any timeframe (intraday, hourly, daily, or higher). Users may customize pivot sensitivity, ATR multipliers, EMA lengths, Fibonacci visibility, and strong volume parameters as per their analytical preference. ⚠️ Risk & Usage Notice This indicator is intended strictly for educational and research purposes only. 🛡️ Disclaimer Investment in securities market are subject to market risks. Read all the related documents carefully before investing. This indicator does not constitute investment advice, trading advice, or a buy/sell recommendation. Past performance is not indicative of future results. Users are solely responsible for their trading decisions and risk management. The securities quoted here are for illustration only and are not recommendatory. 🔗 wealthconsultant.in/disclaimer/
Pine Script® göstergesi
Wealth_Consultant_RA tarafından
1
Dynamic Double-Touch S&R Zones [V6]This script is designed to identify high-probability Support and Resistance zones based on historical price retests. Unlike standard S&R indicators that draw simple lines, this tool identifies "Supply and Demand" areas by capturing the entire price action between the candle body and the wick extremity. How it Works Pivot Detection: The script identifies major price peaks and valleys using a customizable lookback period. Confirmation (The Double-Touch): To keep the chart clean, a zone is only drawn after the price returns to a previous pivot level within a user-defined percentage threshold (Proximity Threshold). Wick-Inclusive Zones: * Resistance: The zone covers the area from the highest candle body to the highest wick. Support: The zone covers the area from the lowest candle body to the lowest wick. Dynamic Extension: Zones automatically extend to the current bar, providing a "live" look at where price is currently interacting with historical levels. Key Features Cleaner Charts: Only displays zones that have been validated by at least two touches. Custom Sensitivity: Adjust the Proximity Threshold to find exact matches or broader "zones" of interest. Pine Script V6: Built with the latest TradingView standards for optimal performance and compatibility. How to Trade with This Area of Interest: Watching for reversal candlestick patterns (like pin bars or engulfing candles) when price enters a zone. Target Levels: Using historical zones as potential take-profit targets for existing trades. Market Structure: Observing if a zone holds or is broken with high volume to determine trend strength. Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice. Always perform your own due diligence.
Pine Script® göstergesi
gradsgold tarafından
Dynamic Extreme Channels & Reversals [LuxAlgo]The Dynamic Extreme Channels & Reversals indicator provides an adaptive framework for identifying price extremes and trend shifts through self-adjusting boundaries. Unlike static channels, this tool dynamically resets its levels based on price activity, offering a responsive environment for trend following and mean-reversion analysis. 🔶 USAGE The indicator functions by tracking the highest highs and lowest lows over a specific window. When the price fails to make a new extreme within the defined period, the boundaries contract toward the current price action. This behavior creates a "breathing" channel that adapts to market volatility and consolidation phases. Users can toggle between two primary viewing modes: Channel Mode: Displays the upper, lower, and midline boundaries. This is ideal for identifying overextended price levels and potential mean-reversion targets. Trailing Stop Mode: Simplifies the visual output into a single step-line that tracks the lower boundary during uptrends and the upper boundary during downtrends, serving as a dynamic exit or trend-following level. 🔹 Reversal Signals The script includes built-in reversal signals designed to catch "blow-off" tops or "panic" bottoms where price briefly exceeds a boundary but immediately loses momentum. Bullish Signal (▲): Occurs when the price hits a new lower extreme (LL) but the current candle manages to peak back above the channel midline. Bearish Signal (▼): Occurs when the price hits a new higher extreme (HH) but the current candle manages to drop below the channel midline. The sensitivity and frequency of these signals are directly influenced by the Lookback Period and Reset Alpha % : Lookback Period: A shorter lookback causes the channel boundaries to "reset" more frequently. This results in tighter channels and more frequent reversal signals, as the midline becomes easier to cross. A longer lookback creates wider, more stable channels, resulting in fewer, high-conviction signals. Reset Alpha %: This determines how aggressively the levels move toward the price after the lookback period expires. A high Alpha (e.g., 100%) creates sharp adjustments, which can lead to rapid signal generation during choppy markets. A lower Alpha creates smoother transitions, filtering out noise in the reversal logic. 🔶 DETAILS The core logic avoids standard rolling maximum/minimum functions to provide a more "sticky" boundary. Instead of the channel edge constantly moving with every bar, it remains fixed until a new extreme is reached or the "timer" (Lookback Period) runs out. When the timer runs out, the level interpolates toward the price based on the Reset Alpha. This simulates a decaying memory of past price extremes, ensuring the indicator remains relevant even after long periods of sideways movement. 🔶 SETTINGS 🔹 Core Settings Lookback Period: The number of bars the indicator waits before adjusting an extreme level if no new high/low is found. Reset Alpha %: Controls the intensity of the level adjustment. 100% resets the level entirely to the current price, while 0% keeps it static. Trailing Stop Mode: Switches the display from a three-line channel to a single trend-following stop line. 🔹 Visuals Show Reversal Signals: Toggles the visibility of the triangle reversal labels. Upper Color: Customizes the color and transparency of the upper boundary. Midline Color: Customizes the color and transparency of the center line. Lower Color: Customizes the color and transparency of the lower boundary. 🔹 Dashboard Dashboard: Toggles the on-screen information panel. Position: Controls the location of the dashboard on the chart. Size: Controls the scale of the dashboard text and cells.
Pine Script® göstergesi
LuxAlgo tarafından
3
Jurik MA Trend Breakouts [BigBeluga]🔵 OVERVIEW Jurik MA Trend Breakouts is a precision trend-breakout detector built on a custom Jurik-smoothed moving average. It identifies trend direction with ultra-low lag and maps breakout levels using pivot-based swing highs/lows. The indicator plots dynamic breakout lines and confirms trend continuation or reversal when price breaks them — providing clean, minimalistic yet extremely accurate trend signals. 🔵 CONCEPTS Jurik Moving Average (JMA) — A highly smooth and low-lag moving average that reacts quickly to trend shifts without noise. This becomes the core trend baseline. Trend Bias — • JMA rising → bullish trend • JMA falling → bearish trend The JMA color updates instantly based on slope. Swing Pivots — Recent pivot highs/lows are detected to define structural break levels while filtering out weak noise. Trend Breakout Levels — The indicator draws horizontal levels at the last valid pivot in the direction of the trend. These levels act as “confirmation gates” for breakout entries. ATR Validity Filter — Ensures only meaningful pivots within a threshold are used to prevent fake breakouts. 🔵 FEATURES Ultra-Smooth Jurik Trend Line — A visually clean trend baseline changing color based on direction. Automatic Swing High Breakout Setup (Bullish) — • During an uptrend, the indicator tracks the most recent pivot high. • A horizontal breakout line is extended across the chart. • A ✔ marker appears at both pivot points when the breakout structure becomes valid. Automatic Swing Low Breakout Setup (Bearish) — • During a downtrend, pivot lows are tracked. • A horizontal breakout line marks the breakdown level. • ✔ markers confirm valid structure before the breakout triggers. Breakout Detection — • Price closing above the bullish breakout line → “↑” signal printed on the chart. • Price closing below the bearish breakout line → “↓” signal printed on the chart. Automatic Reset on Trend Change — When the JMA trend flips, all breakout structures are cleared and the model starts tracking new pivot levels. Trend-Colored Visualization — Glow + main JMA line give instant clarity of market direction. 🔵 HOW IT WORKS 1. JurikMA defines the main trend — Slope determines bullish or bearish state. 2. The indicator continuously searches for pivots in the direction of the trend. 3. When a valid pivot forms and passes ATR proximity filter, a structural breakout level is drawn. 4. As long as price stays below that level (bullish case), the trend setup remains active. 5. When price finally breaks the level , the indicator prints a directional arrow (↑ or ↓). 6. Trend flip instantly resets all levels and begins tracking pivots on the opposite side. 🔵 HOW TO USE Breakout Trading — Enter long on “↑” and short on “↓” signals when price breaks key pivot structure. Trend Confirmation — Use the JurikMA color to stay aligned with the main trend direction. Reversals — Trend flips often mark major turning points. Structure Mapping — Use the horizontal breakout lines to understand how close price is to confirming a new trend leg. 🔵 CONCLUSION Jurik MA Trend Breakouts combines the speed of a Jurik MA with structural breakout logic to deliver clean, reliable entry signals. Its minimal design, pivot-based confirmation, and trend-aligned logic make it suitable for scalping, swing trading, and intraday trend continuation setups. If you want fast yet filtered breakout recognition with almost zero noise, this tool gives you everything you need.
Pine Script® göstergesi
BigBeluga tarafından
22
Cyberpunk Pattern Engine⚡ Cyberpunk Pattern Engine: Neon Technical Analysis Upgrade your chart aesthetics while maintaining surgical precision. The Cyberpunk Pattern Engine is a high-performance pattern recognition script designed to identify classic reversal formations with a futuristic, neon-soaked visual style. 🛠️ Key Features ・Automated Pattern Detection: Real-time identification of four major price action structures: 　・Double Top (DT) - Neon Pink 　・Double Bottom (DB) - Neon Cyan 　・Head & Shoulders (H&S) - Neon Green 　・Inverse H&S (iH&S) - Neon Gold ・Cyber-Visuals: Uses the linefill engine to create semi-transparent glowing triangles, making chart patterns instantly recognizable without cluttering your price action. ・Dual-Language Support: Toggle labels between English and Japanese with a single click. ・Sensitivity Control: Adjust the "Pivot Period" and "Max Difference %" to filter out market noise and find only the most textbook-perfect setups. 🚀 How to Use 1. Pivot Period: Larger values find long-term trends; smaller values find scalp opportunities. 2. Max Difference: Controls how "equal" the tops/bottoms must be. Decrease for strict perfection, increase for more frequent signals. 3. Confirmation: The engine paints the completed pattern once the price crosses the neckline (confirmation level). 日本語版 (Japanese Description) ⚡ Cyberpunk Pattern Engine: ネオン・テクニカル・エンジン チャート分析に「美学」と「精度」を。Cyberpunk Pattern Engineは、伝統的なチャートパターンを検出し、近未来的なサイバーパンク・スタイルで可視化する高性能インジケーターです。 🛠️ 主な機能 ・自動パターン検出: 主要な4つの反転パターンをリアルタイムで識別します： 　・ダブルトップ (DT) - ネオンピンク 　・ダブルボトム (DB) - ネオンシアン 　・三尊 / Head & Shoulders (H&S) - ネオングリーン 　・逆三尊 / Inverse H&S (iH&S) - ネオンゴールド ・サイバー・ビジュアル: linefill機能を駆使し、半透明の光る三角形で描画。チャートの視認性を損なうことなく、瞬時に形状を把握できます。 ・2ヶ国語対応: ラベル表示を日本語と英語で切り替え可能。 ・感度カスタマイズ: 参照期間（Pivot Period）や許容誤差（Max Diff %）を調整することで、ノイズを排除し、自身のトレードスタイルに最適な形状のみを抽出できます。 🚀 使い方 1. 参照期間 (Pivot Period): 数値を大きくすると長期足レベルの大きな波を、小さくするとスキャルピング向けの小さな波を検出します。 2. 許容誤差: 頂点や肩の高さがどれくらい揃っていればパターンとみなすかを調整します。厳格な判断には数値を下げてください。 3. 確定条件: 価格がネックラインをブレイクし、パターンが完成したタイミングで描画が実行されます。
Pine Script® göstergesi
ken5_5489 tarafından
Cup & Handle (Zeiierman)█ Overview Cup & Handle (Zeiierman) is a classic continuation-pattern scanner that detects both bullish Cup+Handle and bearish Inverted Cup+Handle structures using a compact pivot stream. It’s designed to highlight rounded reversals back to a “rim” level, followed by a smaller pullback (“handle”) before a potential continuation move. ⚪ What It Detects A Cup & Handle (Bull) forms when price makes a rounded decline from a left rim, bottoms, then climbs back to a similar right rim. After returning to the rim, price forms a handle (a smaller pullback) that stays within an allowed retracement range. This pattern often precedes a bullish continuation attempt. An Inverted Cup & Handle (Bear) is the mirrored version. Price makes a rounded rise to a left rim, tops, then declines back to a similar right rim. After returning to that rim, price forms a handle (a smaller bounce) that stays within the allowed retracement range. This pattern often precedes a bearish continuation attempt. █ How It Works ⚪ 1) Pivot Extraction (Swing Compression) The script first converts raw candles into a small set of meaningful swing pivots using ta.pivothigh() and ta.pivotlow() with Pivot span. A pivot is accepted only after it is confirmed by the lookback window, which helps reduce noise. Key effect: Higher Pivot span = fewer, stronger pivots (cleaner patterns) Lower Pivot span = more pivots (more patterns, more noise) ⚪ 2) Pattern Framing (4-Point Structure) When at least four pivots exist, the script maps them into a fixed sequence: For a bull Cup+Handle sequence: High → Low → High → Low These are treated as: L = left rim pivot B = cup bottom pivot R = right rim pivot H = handle pivot For a bear inverted Cup+Handle sequence: Low → High → Low → High Mapped similarly, but inverted. This “4-pivot” structure is the minimum shape needed to define a cup and a handle without overfitting. ⚪ 3) Rim Similarity Filter (Cup Quality Control) The script checks if the left rim and right rim are close enough to be considered a proper cup rim: Rim similarity tolerance (%) controls this. Lower tolerance = only very clean symmetric rims Higher tolerance = allows uneven rims (more detections) ⚪ 4) Handle Depth Filter (Reject Weak or Messy Handles) The handle is validated by measuring how deep it retraces relative to the cup depth: Handle Retraction = |rim − handle| / |rim − bottom| The handle must fall between: Handle retrace min Handle retrace max This prevents: tiny “non-handle” wiggles (too shallow) deep pullbacks that break the structure (too deep) █ How to Use ⚪ Interpreting a Bull Cup & Handle Treat it like a continuation setup built around a key breakout level: Cup forms Handle forms Breakout happens above this level Once price returns to this breakout zone and the handle stays controlled, the structure may attempt to continue upward. Common behaviors after a clean signal: Push above the breakout level Brief retest/acceptance near the breakout zone Continuation toward the projected target if momentum holds ⚪ Interpreting a Bear Inverted Cup & Handle Treat it like a bearish continuation/rollover setup built around the same breakout concept: Cup forms (inverted) Handle forms Breakout happens below this level Once price returns to this breakout zone and the handle stays controlled, the structure may attempt to continue downward. Common behaviors after a clean signal: Drop below the breakout level Retest from underneath Continuation toward the projected target if selling pressure persists █ Settings Pivot span – pivot sensitivity. Higher = smoother pivots, fewer signals. Lower = more pivots, more signals/noise. Rim similarity tolerance (%) – rim quality filter. Lower = stricter symmetry, higher = more permissive detection. Handle retrace min – minimum handle depth (filters weak handles). Handle retrace max – maximum handle depth (filters messy/deep handles). Invalidation (handle max retrace %) – “maximum tolerated damage” for handle move before the structure is considered broken. Require breakout confirmation – only trigger when price closes beyond the rim in the expected direction. Target multiplier (× cup depth) – scales how far the projection target is. Lower = closer targets; 1.0 = classic depth target. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® göstergesi
Zeiierman tarafından
9
StO Price Action - MultiTimeFrame BandsShort Summary - Multi-timeframe price visualisation using stepped bands - Plots higher-timeframe ranges directly on lower charts - Visualizes context, boundaries and higher-timeframe bias - D, W, M and Y period open levels Full Description Overview - Projects higher-timeframe price information onto the active chart - Each timeframe is represented as a price band or stepped range - Bands consist of upper and lower reference values - Designed to make higher-timeframe structure visible intraday Multi-Timeframe Bands - Supports up to four independent timeframes - Each timeframe can be enabled or disabled individually - Timeframe selection is abstracted (chart, minutes, hours, days, weeks, months) - Step-line plotting preserves higher-timeframe candle structure Band Construction Logic - Upper and lower band values define the active range - Use of High/Low (Range) or Open/Close (Body range) for band calculation - High/Low emphasizes full volatility range - Open/Close emphasizes accepted price area Open Price Levels - Plotting of period open prices - Daily, Weekly, Monthly and Yearly opens supported - Each open level has independent visibility and color control - Open prices serve as equilibrium and bias reference points Usage - Identify higher-timeframe boundaries during lower-timeframe execution - Use opens as bias filters and mean reference - Combine with market structure or liquidity concepts Notes - Not a signal or strategy indicator - No prediction, only contextual framing - Once a #band is plotted, new extremes do not retroactively adjust previous values - Visual alignment is most accurate after a chart refresh or restart - Designed for clean charts and decision support
Pine Script® göstergesi
sto_svc tarafından
WhaleHunter: Time & Volatility Matrix [Algorithm]Concept & Methodology This script is a proprietary algorithmic trading system designed to identify high-probability reversal zones by combining three distinct dimensions of market analysis: Volatility (Price), Momentum (Volume), and Cycles (Time). unlike standard oscillators, this algorithm does not rely on lagging indicators like RSI or MACD. Instead, it utilizes a custom iterative search engine to find "Time Clusters" where price pivots align with Fibonacci sequence intervals. 1. Adaptive Time-Cycle Scanner (The Core Engine) The unique feature of this script is the built-in Auto-Search loop. How it works: The algorithm stores historical Swing Highs and Swing Lows into arrays. On every bar, it runs a simulation loop to calculate the distance between past pivots. Fibonacci Time Projection: It attempts to fit these distances to Fibonacci numbers (8, 13, 21, 34, 55, etc.) by applying a dynamic coefficient. Cluster Detection: When multiple projected time cycles converge on the same future bar, the script draws a vertical "Time Line". The opacity of the line represents the strength of the cluster (how many cycles overlap). This indicates a high probability of volatility or trend change at that specific moment in time. 2. Multi-Timeframe TMA Channels (Volatility) The script renders a composite view of Triangular Moving Average (TMA) bands across 9 different timeframes (from 1 minute to 1 Month) simultaneously on the chart. Logic: By calculating the ATR-based deviation from the TMA on higher timeframes, the script identifies "Overextended" price zones. Note on Calculation: The TMA channels utilize lookahead=true to smooth the bands and provide a clearer view of the dominant trend structure on historical data. While the channels themselves adapt, the entry signals described below are strictly confirmed on the close of the bar. 3. VSA Whale Detector (Volume) The "Whale" signals (Diamonds) appear only when specific Volume Spread Analysis conditions are met: Price hits the outer band of the TMA Channel (Statistical deviation). Volume exceeds the average by a user-defined factor (e.g., x2.0). Candle geometry shows rejection (long wicks or small bodies relative to range). This logic filters out "fake" moves and highlights areas where institutional interest (high volume) opposes the current trend. How to Use Look for Confluence: The strongest signals occur when a "Time Cluster" (Vertical Line) aligns with a "Whale Diamond" (Volume spike at Channel edge). Heatmap Reading: The vertical lines represent future time turning points. Brighter lines = stronger time confluence. Risk Management: Do not trade blindly on diamonds. Use the channels as dynamic support/resistance zones. Settings Whale Detector: Adjust the Volume Multiplier to filter signals. Time Scanner: You can change the "Lookback Depth" to analyze more or less historical pivots for time projections. Channels: Toggle specific timeframes (e.g., turn off 1m/5m for swing trading). Disclaimer: This script is for educational purposes and market analysis only.
Pine Script® göstergesi
WhaleHunter_Algo tarafından
1
Flexible S/R Channels🟩 Flexible S/R Channels is a visualization tool that draws curved support and resistance boundaries through user-defined anchor points. Unlike traditional trendlines and channels that force linear interpretation onto price action, this indicator captures the curved structures that markets frequently form—rounded tops and bottoms, parabolic advances and declines, arcing rallies and pullbacks. Three anchor points per curve define the shape; the indicator fits a smooth mathematical curve through these points and projects it forward. The approach is simple: draw what you see. Curved market structure that resists precise definition with traditional tools can now be rendered with mathematical accuracy. The indicator bridges the gap between static drawing tools and programmable indicators. TradingView's arc tool draws curves but produces only visual pixels with no analytical value. Flexible S/R Channels creates live data series that integrate with other analysis tools. Four curve-fitting methods—Quadratic, Quadratic-Linear, Weighted Linear, and Natural Cubic Spline—accommodate different market structures. The curved levels naturally lend themselves to breakout and reversion strategies—applications left to the trader's discretion. The open-source code invites experimentation and customization. 💡 THEORY AND CONCEPT 💡 Traders have long relied on horizontal levels and diagonal trendlines to define support and resistance. Linear tools assume constant slope—a property rarely exhibited by actual market movement. When momentum accelerates or decelerates, price trajectories curve rather than hold to fixed angles. The resulting structures—parabolic advances during expansion phases, arcing pullbacks during consolidation, rounded formations at reversal points—represent changes in the rate of change itself. Traditional drawing tools cannot accommodate this variable geometry without sacrificing mathematical precision.. Flexible S/R Channels extends familiar support and resistance concepts into curved space. The approach is simple: draw what you see. When the eye recognizes a curved boundary in price action, this indicator provides the means to define it precisely. Three anchor points per curve—an initial point, an intermediate point, and a recent point—are all that is required. The indicator fits a smooth mathematical curve through these points and extends it forward as a projection. This indicator represents a blend of human pattern recognition and algorithmic precision. Fully automated indicators make decisions without user input—efficient but detached from trader discretion. Manual drawing tools rely entirely on freehand skill—expressive but imprecise. Flexible S/R Channels occupies the middle ground. The trader identifies the curved structure; the algorithm renders it mathematically. The result is human insight expressed with computational accuracy—for traders who recognize curved structure in price action but lack precise tools to define it. This projection is not a prediction. It is a visual hypothesis—a structured way of asking "if this trajectory continues, where would price be?" The underlying assumption is simple: like Newton's first law of motion, a trajectory in motion tends to continue unless acted upon by an external force. Future price action validates or invalidates the projection, just as it does with any trendline or channel. TradingView offers an arc drawing tool for freehand curved lines, but these are purely visual—static pixels on a screen with no programmable value. Flexible S/R Channels bridges this gap. The fitted curves exist as data series that can generate alerts, trigger signals, and interact with other analysis tools. The visual drawing becomes operational structure. 🔁 CURVE METHODS 🔁 The indicator offers four curve-calculation methods, each producing different shapes suited to different market structures: Quadratic — Fits a parabolic arc through the three anchor points. Best for smooth, continuous curves such as rounded tops and bottoms. It captures the natural "swing" of the market, assuming the momentum will maintain its current rate of acceleration or deceleration. Quadratic-Linear — Uses a parabolic curve through the anchor points, then transitions to a straight line after the final anchor. Useful when curved structure gives way to linear trend continuation. This is the "bridge" between a turning market and a steady, directed move, preventing the projection from curving back on itself when the price begins to run. Weighted Linear — Connects anchor points with straight line segments rather than a smooth curve. Suited for angular market structures with distinct inflection points. It treats the market as a series of rigid shifts, providing a clear "corridor" when the price is bouncing between sharp, diagonal levels. Natural Cubic Spline — Produces the smoothest curve by minimizing abrupt directional changes. Ideal for organic, flowing market movements. It acts as a flexible spine that adapts to complex transitions without the rigid constraints of a fixed geometric shape. Quadratic Fitting : A smooth, parabolic arc defines a curved resistance boundary. By fitting a mathematical path through three anchor points, the curve captures rounded structures and arcing price action that traditional linear trendlines fail to represent. Weighted Linear Fitting : This method produces an angular, segmented path by connecting anchor points with distinct linear slopes. Unlike the continuous smoothness of a quadratic arc, the weighted linear approach creates a more jointed geometry, allowing for a precise match to market structures that exhibit sharp, localized changes in trajectory. Natural Cubic Spline Fitting : This method creates a highly fluid, elastic curve that can accommodate complex price oscillations. In this instance, the curves define a narrowing range as support and resistance converge, highlighting the volatility compression that often precedes a significant breakout or breakdown from established structures. 🖱️ HOW IT WORKS 🖱️ 1️⃣ Initial Setup Unlike traditional indicators that calculate values automatically from price data, Flexible S/R Channels requires user-defined anchor points. This is intentional. The trader's eye is the pattern recognition engine—no algorithm can see the curved structure that experience and intuition reveal. The indicator waits for this input, then applies mathematical precision to render what the trader has identified. The Recognition of Natural Structure : Effective analysis begins when a curved rhythm becomes visible within price action that traditional trendlines cannot satisfy. Identifying the specific swing highs and swing lows that define these boundaries is the first step in organizing a chart. By isolating three key pivots for resistance and three for support, the underlying framework of the market's trajectory is established, providing the necessary coordinates to accurately map the path. Interactive Setup Workflow : Upon loading, the indicator prompts for the sequential selection of six points—three swing highs and three swing lows—to serve as the raw data for the calculation. While the chart remains blank during this initial phase, the curves generate instantly once the final anchor is confirmed. These points are not permanent; they appear as interactive grips that can be dragged in real time to refine the boundaries as the market structure evolves. The indicator prompts for six sequential selections—three for resistance, three for support. The first three selections define the resistance boundary; the final three define support. This sequential grouping is distinct from zigzag-style selection patterns. Within each group, clicking order is flexible—the algorithm automatically sorts points chronologically, allowing traders to select visually prominent pivots in whatever sequence feels natural. Structural Anchor Identification : Identifying three key swing highs and three key swing lows provides the foundation for the dual-curve geometry. These specific structural peaks and troughs serve as the coordinates for the mathematical models, ensuring that the resulting boundaries accurately reflect the underlying skeleton of the market action. 2️⃣ Interactive Adjustment After the initial setup, all six anchor points are fully adjustable: Points are automatically sorted chronologically regardless of selection order Grip handles appear at each anchor location Any point can be repositioned by clicking and dragging its grip handle The curves recalculate instantly as points are adjusted The algorithm produces a mathematically perfect curve based on the anchor points provided. If the result does not match the trader's vision, adjustments are immediate. This iterative refinement—see, adjust, refine—continues until the rendered curve represents what the trader sees in the price action. The user remains in control; the algorithm remains in service. Interactive Channel Boundaries : Six user-defined anchor points—three for resistance and three for support —establish a non-linear range that moves beyond the constraints of a flat, horizontal channel. This configuration captures the arcing trajectory of the market while showing price action respecting the curved boundaries in a classic reversion pattern. By manually positioning these anchors, a dynamic dimension is added to the chart that maintains structural integrity even as the price follows a rounded path. 🛠️ SETTINGS 🛠️ Customizable Visual Feedback : Beyond the core geometry, the visualization offers various user-defined settings to tailor the chart's information density. From identifying specific price targets to toggling structural labels, these options allow the trader to adjust the level of detail to suit their personal analysis style while maintaining a clear view of the non-linear boundaries. Configuration Options Curve Method — Select the curve-fitting algorithm: Quadratic, Quadratic-Linear, Weighted Linear, or Natural Cubic Spline. Projection Length — Number of bars to project the curves beyond current price action. Projections appear as dashed lines. Visual Settings Grip Size — Size of the draggable handles displayed at each anchor point. Set to zero to hide grips entirely. Line Width — Thickness of the support and resistance curves. Support Color / Resistance Color — Color settings for each curve. Show Info Table — Toggle display of the info table showing the current curve method in the chart corner. Advanced: Time/Price Coordinates The settings panel includes precise time and price values for each of the six anchor points, grouped under Resistance Time/Price and Support Time/Price. These values are populated automatically when points are selected on the chart. Adjusting anchor points by dragging the grip handles directly on the chart is faster and more intuitive. The time/price fields are available for situations requiring exact coordinate entry—such as aligning an anchor to a specific candle timestamp or a precise price level. These fields can be safely ignored unless fine-tuning is necessary. 🖼️ CHART EXAMPLES 🖼️ The Flexible S/R Channels indicator adapts to diverse market structures across multiple timeframes and instruments. Curved boundaries can define subtle momentum shifts in near-linear trends, dramatic reversals in rounding formations, or volatility compression as channels converge toward breakout points. The four curve-fitting methods accommodate different geometries—smooth parabolic arcs for continuous momentum changes, segmented linear paths for angular structures, and elastic splines for complex oscillations. Each anchor point adjustment instantly recalculates the curves, allowing iterative refinement until the rendered boundaries align with the trader's interpretation of market structure. Forward projections extend these mathematical relationships into future territory, providing visual context for hypothetical support and resistance levels if current trajectories persist. Subtle Curve Alignment : Even in structures that appear linear, subtle curvature allows the channel boundaries to breathe with the market’s internal momentum. By utilizing three anchor points rather than two, the channel adapts to the slight acceleration of a trend, providing a more precise fit than a rigid, straight corridor. Decelerating Momentum and Convergence : This classic rounding structure illustrates a transition where the initial wide oscillations between highs and lows begin to contract. As the boundaries converge, the curve captures the diminishing volatility and the shift in market energy, providing a clear visual representation of a trend losing its expansive momentum as it approaches a potential turning point. Organic Trend Modeling : In an accelerating uptrend, the Natural Cubic Spline provides a highly adaptable boundary that mirrors the organic flow of momentum. This non-traditional approach allows the channel to follow complex price pulses that a standard linear trendline would likely cut through, maintaining a precise fit even as the angle of the trend shifts over time. Non-Linear Projections : Unlike standard trendlines that converge at a fixed rate, curved projections adapt to the historical momentum of the move. This allows the indicator to map a dynamic squeeze, capturing the subtle nuances of how price action tightens toward an apex. It provides a more sophisticated view of future convergence points that traditional linear channels often fail to anticipate. The "Draw What You See" Philosophy : Market structures are rarely perfect, and this example highlights the indicator’s ability to map unconventional rhythms. Rather than forcing price into a predefined category, the tool remains flexible enough to define any structural path the trader identifies. If you can see a trend's trajectory, the indicator can provide the mathematical framework to support it. Comparative Projection Modeling : Using identical anchor points as above, this example demonstrates how selecting a different calculation method can alter the projected path. While the historical fit remains precise, the variation in the forward-looking trajectory allows traders to explore multiple mathematical interpretations of the same market structure, choosing the model that best aligns with the current volatility and trend behavior. Extended Timeframe Channel Definition : This multi-year perspective demonstrates the indicator's ability to define curved channel boundaries across extended timeframes spanning hundreds of bars and multiple market cycles. The resistance curve captures the rounded distribution of swing highs while the support curve follows the accelerating base formation, creating a non-linear channel that frames long-term structural trends more precisely than traditional parallel channels or static trendlines. Rounding Bottom Reversal and Channel Convergence : This example captures a classic rounding bottom formation—a reversal pattern that linear tools cannot adequately define. The Quadratic method produces a smooth parabolic arc through the resistance anchors, tracing the deceleration of the downtrend, the capitulation low, and the subsequent re-acceleration upward as a single continuous curve. The support boundary mirrors this momentum shift from below, creating a curved channel that narrows toward current price. This convergence represents structural compression—the boundaries tightening as volatility contracts and directional resolution approaches. Price action oscillates within these non-linear boundaries, demonstrating that channel behavior persists even when the geometry is curved rather than parallel. The projection extends both curves forward, mapping the hypothetical trajectory if the current momentum structure continues, providing visual context for potential breakout or breakdown levels as the channel reaches its apex. Built-in Precision vs. Algorithmic Power : While TradingView offers basic curve drawing tools (shown here as dashed lines), the Flexible S/R Channels indicator elevates this concept into a functional analytical framework. By converting manual observations into mathematical models, it moves beyond mere drawing to provide a data-driven structure that can be utilized for advanced technical analysis and future Pine Script trading logic. ⚙️ TECHNICAL DETAILS ⚙️ Curve Fitting vs. Overfitting: The term curve fitting often carries negative connotations in quantitative analysis due to its association with overfitting—the practice of adjusting a model until it perfectly matches historical data, producing an illusion of accuracy that fails when applied to new data. The application here is fundamentally different. Flexible S/R Channels does not optimize parameters to maximize historical fit; it constructs a mathematical curve through user-selected anchor points, then projects that curve into unknown territory. The curve is not fitted to price data—it is fitted to structural pivots identified by the trader. The projection represents a hypothesis about trajectory continuation, not a prediction derived from statistical optimization. Future price action validates or invalidates this hypothesis in real time, exactly as it does with any trendline or channel. The anchor points remain fixed unless manually adjusted, ensuring the curve does not adapt to new data retroactively. Non-Repainting Behavior: The indicator does not repaint historical bars. The mathematical coefficients that define each curve are calculated once—when the final anchor point is set—and stored as fixed values. These coefficients remain constant unless an anchor point is manually repositioned. The backfit polyline is drawn once using these coefficients, spanning the known range from the first to last anchor point. The plot() function applies the same coefficients to each subsequent bar, updating in real-time as new bars form but never altering previously plotted values. The projection polyline extends forward from the current bar using the same fixed coefficients, projecting a user-defined number of future bars (maximum 500). This projection redraws on each tick to maintain its position relative to the moving current bar, but the mathematical trajectory remains constant—only the starting point advances. The current bar's curve value will update tick-by-tick as price develops, which is standard real-time behavior, not repainting. Once a bar closes, all curve values on that bar are permanent. The hybrid architecture (backfit polyline for known history, plot() for unlimited real-time range, projection polyline for controlled forward extension) prevents overflow errors while maintaining non-repainting integrity across all components. 🗒️ NOTES 🗒️ The indicator renders curves based on any anchor points provided without validation. Unusual anchor placement produces mathematically accurate but potentially non-useful results. Adjustment is iterative—if the curve doesn't match expectations, reposition the anchors. Because anchor points are stored as specific time and price coordinates, a new instance of the indicator should be added when analyzing a different chart or timeframe. Grip handles can be hidden by setting Grip Size to zero in the settings. This is useful for clean chart screenshots or presentations where interactive elements are not needed. Projection length can be set to zero if forward-looking curves are not desired. The indicator will still render the backfit curves through the anchor points and continue plotting in real-time without the dotted projection extensions. Anchor points remain fixed at their selected time-price coordinates as new bars form. The curves extend forward automatically from these historical anchors, allowing observation of how projected trajectories align with developing price action. ⚠️ DISCLAIMER ⚠️ The Flexible S/R Channels indicator is a visual analysis tool designed to illustrate geometric market inertia and serve as a framework for understanding dynamic support and resistance. While the indicator generates structural channels and projected paths, no guarantee is made regarding the accuracy or profitability of these projections. Like all technical indicators, the curves and boundaries generated by this tool may appear to align with favorable trading opportunities in hindsight. However, these visualizations are not intended as standalone recommendations for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis. 🧠 BEYOND THE CODE 🧠 Flexible S/R Channels is part of a broader collection of tools designed to provide structured market analysis. This includes the Grid Bot Simulator , the Grid Bot Auto , the Grid Bot Parabolic , and the Gridbot Ping Pong . While each tool serves a distinct purpose, they all utilize dynamic anchor mechanics and non-linear boundaries to adapt to evolving market conditions. This indicator shares the same educational philosophy as the Fibonacci Time-Price Zones and the Fibonacci Geometry Series - providing frameworks for understanding market concepts through visualization and experimentation rather than black-box signals. The Flexible S/R Channels indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Feedback and insights are invaluable to refining and enhancing this tool. We look forward to the creative applications, observations, and discussions this indicator inspires within the trading community.
Pine Script® göstergesi
xxattaxx tarafından
3
ZenAlgo - ChannelOverview and required chart interaction This indicator draws a price channel and a volume profile that are both anchored to a user defined swing range. To initialize it, the user must pick two chart timestamps using the script inputs: Start - the first anchor point (typically one extreme of the move, such as the swing low for an ascending move or the swing high for a descending move). End - the second anchor point (the opposite extreme of that same move). After both points are set, the script analyzes the bars between Start and End, fits a sloped channel through that range, builds a volume profile aligned with the channel, and then projects all derived levels forward along the same slope. Inputs and what they control Volume area and profile resolution Width % controls how far the volume profile histogram can extend horizontally. It scales the longest profile bar relative to the Start-End range length. Volume Area % controls how much of total volume around the profile’s highest volume region is included when computing the value area boundaries. Style and visibility Toggles exist for displaying the profile derived levels: LOC , VAH/VAL , pivot labels (HH, HL, LH, LL), breakout shapes, and optional ghost extensions. Extend lines right decides whether primary lines are truly extended to the right by TradingView’s line extension, or only drawn for the Start-End segment. Ghost Extend draws dotted, semi transparent projections for a configurable number of future bars when the main lines are not extended. Deviation levels Deviation Multiplier and Deviation Levels add symmetric bands above and below the LOC, spaced by a distance derived from the channel height relative to LOC. These bands are projected along the channel slope. Slope analysis and alerts The script can evaluate channel "strength" using either angle in degrees or a normalized percent-per-bar slope . The chosen measure is then bucketed into qualitative strength categories that are used only for labeling and alert message context. Alerts can be enabled for confirmed breakouts and for slope sign changes (bullish to bearish, or bearish to bullish). How the channel baseline is constructed from Start to End Once Start is reached, the script begins accumulating bar-by-bar statistics until End is reached: It tracks the number of bars in the selected range and accumulates an average and a linearly weighted average of closes. At End, it converts those aggregates into a straight line defined by a start value, an end value, and a per-bar slope across the Start-End period. Why this works (within the chosen range): Using a fitted line over the selected segment provides a compact description of directional drift across that range. It will not capture every fluctuation, but it provides a stable reference for projecting "where the middle of the move is" as time advances. How the channel height is determined and why the borders sit where they do After computing the baseline slope, the script scans through the selected bars to measure how far price deviated above and below that baseline: For each bar in the range, it computes the baseline value at that bar index and measures the distance from that baseline to the bar’s high and to the bar’s low. It finds the maximum upward deviation and the maximum downward deviation. The baseline is shifted so the lower channel border is aligned to the worst downward deviation, and the total channel height becomes the distance between the worst upward and worst downward deviations. Why this works (and what it implies): The resulting channel borders are anchored to the extremes observed in the selected range. That makes the borders a description of the range’s realized "envelope" around the fitted drift. Because this envelope is derived from past extremes in the chosen window, it is descriptive rather than predictive. When price behavior changes, future price can exceed the historical envelope and will be treated as a breakout. How the volume profile is built inside the channel The script constructs a volume profile that is aligned with the sloped channel, not a flat horizontal range: The channel’s vertical span is divided into the configured number of bins (Layers). For each bar in the selected range, the script checks which bins are intersected by that bar’s high-low range and adds that bar’s volume to each intersected bin. It keeps track of the bin with the highest accumulated volume. That bin defines the profile’s maximum-volume region. Why this works (and what it measures): Aggregating volume by where price traded within the channel helps identify the areas where the most activity occurred during the selected move. Using bar range intersection (high-low crossing a bin) is a practical approximation for distributing volume across prices without requiring intrabar volume-at-price data. This approximation can over-attribute volume to multiple bins for wide bars, but it remains consistent across the range. LOC, VAH, and VAL derivation LOC (line of control) The LOC is placed at the center of the highest-volume bin. The LOC is then drawn as a line from Start to End, following the same slope as the channel baseline. Interpretation: LOC represents the most frequently traded zone within the selected channel range, expressed as a sloped level that moves forward with the channel’s drift. VAH and VAL Total volume across all bins is computed. Starting from the highest-volume bin, the script expands upward and downward, accumulating volume until the accumulated fraction exceeds the configured Volume Area %. The highest included bin boundary becomes VAH, and the lowest included bin boundary becomes VAL. VAH and VAL are drawn as sloped lines parallel to the channel drift. Interpretation: VAH and VAL bound the portion of the channel where the majority of the range’s volume accumulated, based on the chosen percentage. Relative position of price to these levels can be used as context for whether current trading is occurring in historically high-activity or low-activity parts of the selected move. Deviation bands around LOC After LOC is known, the script creates additional parallel bands: It measures the vertical distance from LOC to the top channel border. Using that as a base offset, it draws symmetric lines above and below LOC for each deviation level, scaled by the deviation multiplier. These lines are projected with the same slope as the channel. Interpretation: These bands provide repeated "distance markers" above and below LOC in units derived from the selected range’s internal structure. They are best treated as contextual zones rather than precise targets, because spacing is tied to the chosen Start-End window and its extremes. Optional projections: Extend right and Ghost Extend Two projection mechanisms exist: If Extend lines right is enabled, the main channel borders, LOC, and optionally VAH/VAL and deviation lines are extended using TradingView line extension. If Extend right is disabled but Ghost Extend is enabled, dotted projections are drawn for a fixed number of future bars from End, including channel borders, LOC, VAH/VAL, and deviation lines. Interpretation: Both options visualize where the same fitted structure would land in future bars if slope remains unchanged. They do not update slope unless Start-End selection is changed. Pivot labels: HH, HL, LH, LL The script optionally labels local swing points using pivot detection: A pivot high is confirmed when a high is greater than neighboring highs by the configured left and right bar counts. A pivot low is confirmed similarly for lows. New pivot highs are labeled as HH or LH relative to the prior pivot high, and pivot lows as HL or LL relative to the prior pivot low. The logic includes a reset behavior after a new LL or HH to reduce chaining ambiguity across regime shifts. Interpretation: These labels provide local structure context that can be compared to the channel’s direction and to whether price is interacting with channel borders or profile levels. Breakout detection on channel borders Once End is set, the channel is considered active and the script evaluates each new bar against the channel borders at that bar index: It computes the current top and bottom border values for the present bar by advancing from the Start baseline with the fitted slope and channel height. A potential breakout is marked on the first bar that crosses above the top border (or below the bottom border), using a close-based crossing test against the prior bar’s border value. After a potential breakout, the script waits for confirmation: For an upside breakout, confirmation occurs only if price remains above the top border and then closes higher than the potential breakout close. For a downside breakout, confirmation occurs only if price remains below the bottom border and then closes lower than the potential breakout close. If price re-enters back inside the border before confirmation, the pending breakout state is canceled. Interpretation: The two-step logic distinguishes an initial border cross from follow-through. It aims to reduce cases where a single bar spikes outside the channel and immediately returns. The confirmation test is still close-based and does not consider intrabar excursions beyond the channel, so it is sensitive to candle closes rather than wicks. Alerts included by the script Confirmed breakout up or down can trigger alerts and corresponding alertconditions, aligned to the confirmed state described above. Slope sign change alert triggers when the computed slope (based on the last selected Start-End range) flips sign compared to the previously computed slope. This is a re-selection or re-computation event rather than a continuous recalculation. How to interpret the plotted elements together A practical way to read the indicator is to separate it into three layers of information: Channel structure Top and bottom borders describe the fitted envelope of the selected range. The slope indicates the drift direction implied by that selection. Activity structure inside the channel LOC is the highest-activity region within the selected range, projected along drift. VAH and VAL bound the configured fraction of volume around the activity center. Deviation bands give repeated distance zones around LOC. Event markers Pivot labels show local swing structure. Breakout markers highlight border crosses and confirmed follow-through. How to best use this indicator Selecting Start and End effectively Choose Start and End that represent a coherent swing segment where you want the channel and profile to describe that move. Avoid mixing multiple regimes (for example, including both a strong trend and a later choppy distribution) unless that is explicitly what you want the profile to summarize. If the selected window is extremely long, the script limits processing to recent data due to a hard cap (it warns when the range exceeds 10,000 bars and uses only the most recent subset). Using LOC, VAH, and VAL for context Treat LOC as the "most traded" zone of the selected move, projected forward. Treat VAH and VAL as boundaries of the selected move’s high-activity region. Price acceptance inside VAH-VAL and excursions outside that band can be interpreted as trading in higher-activity versus lower-activity zones of the selected move. Using breakouts A potential breakout is an early warning that the historical envelope is being exceeded on a closing basis. A confirmed breakout indicates follow-through beyond the initial breakout close while remaining outside the channel border. Combining with pivot labels Compare HH/HL sequences to the channel slope to understand whether local structure aligns with the selected drift. Pivot labels can also help you decide when the current Start-End selection is no longer representative and should be refreshed. Added value over other free indicators The volume profile is constructed along a sloped channel , not a flat horizontal range, so the distribution is expressed in the same coordinate frame as the selected drift. LOC, VAH, and VAL are therefore projected parallel to the channel , providing moving reference levels tied to the chosen swing segment rather than static horizontal bands. Breakout logic uses a two-step potential and confirmation mechanism, which separates first border crossings from subsequent follow-through conditions. Disclaimers and where the indicator can fall short Results depend heavily on Start and End selection. Different anchor points can produce materially different slope, channel height, and profile levels. The volume profile uses candle range intersection to distribute volume across bins. Large range candles can contribute volume to many bins, which may broaden the apparent distribution. The channel borders are based on extremes within the selected range. If market volatility expands, price can exceed the envelope frequently and produce repeated breakout states. Breakout detection is close-based. Wick-only excursions beyond borders are not treated as breakouts unless the close crosses the border. Very large ranges may be truncated for processing due to the script’s internal bar limit, which changes what data is actually summarized.
Pine Script® göstergesi
ZenAlgo_Official tarafından
Power Hour Trendlines [LuxAlgo]The Power Hour Trendlines indicator is based on Power Hours detection, and includes up to three displayed trendlines derived from the closing prices of all the bars within the last user-selected Power Hours. Users can edit the time of Power Hours, choose how many sessions to take into account, enable or disable any trendlines, and change their colors. 🔶 USAGE The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders. This tool works under the hypothesis that prices made during power hours (periods with high trading activity) are more relevant when used for the construction of trendlines. An initial trendline is fit using linear regression; prices from power hours located above this initial fit are used for the upper trendline, while the ones below the fit are used for the lower one. As with any trendline, traders can analyze the slope to determine the market's direction: Positive slope: The market is trending up. Negative slope: The market is trending down. No slope: The market is trending sideways. As we can see in the image, Nasdaq and Bitcoin are clearly in downtrends, gold is clearly in an uptrend, and the euro/U.S. dollar is in a sideways market over the last visible sessions. As you can see, the trend lines may or may not be parallel to each other. The wider the area, the more volatile the data. The narrower the area, the less volatile the data. Let's look at an example. In the image, the Dow30 and the euro/U.S. dollar have opposite behaviors. The volatility above the middle trendline is growing in the first case but shrinking in the second. In both cases, the volatility in the bottom area seems steady, so there are no big surprises there. Traders can adjust the number of sessions for calculations, making the tool ideal for analyzing price behavior over different time frames. As the image shows, we can clearly see how the market behaves over different time periods. XLY has been moving down over the last 10, 20, and 40 sessions, with a steeper decline over shorter periods. However, it has been moving sideways over the last 70 sessions. One of the main uses of trendlines is to provide key support and resistance. In the image, SPY is shown with trendlines over the last 20 sessions. These lines provide excellent reference points for trading and observing price behavior in those areas, such as whether prices are accepted or rejected, which may trigger a response from other traders. 🔹 Not Allowed Timeframes For obvious reasons, timeframes larger than 1H are not allowed. The Power Hour is defined as the last hour of the trading session. The tool will display a warning message if the timeframe is longer than 60 minutes. 🔶 SETTINGS Power Hour (NY Time): Choose a custom Power Hour in New York time Sessions Memory: Select how many Power Hours to take into account for calculations. 🔹 Style Top: Enable or disable the top line and choose the line and background colors. Middle: Enable or disable the middle line and choose the line color. Bottom: Enable or disable the bottom line and choose the line and background colors. Background: Enable or disable the background color for top and bottom lines.
Pine Script® göstergesi
LuxAlgo tarafından
2
Institutional Flow X-Ray [Blk0ut]Introduction In the world of quantitative trading, volume is often described as the "fuel" of the market. However, standard volume bars have a major flaw: they show you how much changed hands, but they don't tell you who was in control. The Institutional Flow X-Ray is designed to solve this opacity problem. It looks "under the hood" of every candle to visualize the intent of the Smart Money participants. By combining Volume Price Analysis (VPA), Wyckoff Logic, and Volatility Compression into a single interface, this tool helps traders identify when institutions are quietly accumulating positions (Absorption) before a major expansion occurs. How It Works: The Logic This indicator is not a simple moving average crossover. It aggregates four distinct quantitative models into one composite view: 1. Institutional Flow (The Histogram) Instead of just looking at whether price closed up or down, we calculate the "Intra-Bar Delta." We measure where the price closed relative to the high-low range of that specific candle, weighted by the volume. • The Result: A smoothed momentum oscillator that reveals the internal strength of the trend. • Gradient Coloring: The bars use a 4-color gradient system. Bright Green/Red indicates accelerating momentum, while Darker Green/Red indicates exhaustion or a pullback is likely. 2. Stealth Absorption (The "Gold" Signal) This is based on Wyckoff’s Law of Effort vs. Result. The script scans for a specific anomaly: Volume is significantly higher than average (>2.0x), but Price Range is significantly lower than average. • Why this matters: When you see high volume but no price movement, it often means a large entity is absorbing all available liquidity (Iceberg Orders). These bars are painted GOLD. 3. Volatility Compression (The "Squeeze" Dots) Markets move in cycles of Expansion and Compression. This module compares the width of Bollinger Bands against Keltner Channels. • The Logic: When the Bollinger Bands contract inside the Keltner Channels, the market is like a coiled spring. This measures potential energy. 4. Relative Strength (The Alpha Line) Institutional capital rarely flows into underperforming assets. The script automatically compares your current ticker against a benchmark (SPY for Stocks, BTC for Crypto, DXY for Forex). • The Logic: If the benchmark is dropping, but your ticker is holding steady (Rising Blue Line), it shows Relative Strength, a key footprint of institutional support. ________________________________________ Visual Guide & Usage The Histogram (Flow & Signals) • Green Gradients: Buyers are in control. • Red Gradients: Sellers are in control. • GOLD Bars (Absorption): Be alert. A major player is active. If this happens at Support, it is a high-probability Accumulation setup. • WHITE Bars (Alpha Signal): The "Triple Confluence." This occurs when we have (1) Absorption + (2) Bullish Flow + (3) Relative Strength all activating at once. This is the strongest signal in the system. The Volatility Map (Center Dots) The dots running along the zero line tell you the state of market energy: • 🔴 Red (Extreme Squeeze): Ratio < 0.7. Massive energy build-up. Expect an explosive move soon. • 🟠 Orange (Squeeze): Ratio < 1.0. Standard pre-breakout compression. • ⚪ Gray (Normal): Standard volatility. • 🔵 Blue (Expansion): The move is underway. Volatility is expanding. The Heads-Up Dashboard A professional table in the corner provides real-time quantitative data so you don't have to guess: • Inst. Flow: The raw score (0-100). • Volatility: Tells you exactly which phase the market is in (Squeeze vs. Expansion). • Rel. Strength: Tells you if you are "Outperforming" or "Lagging" the benchmark. ________________________________________
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