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Pivot

Pivot Breakout Retest Signals [algo_aakash]Overview Pivot Breakout Retest Signals is a price action indicator that helps traders identify potential bullish and bearish retest opportunities around Classic Pivot Point levels. The indicator calculates pivot levels from a selected higher timeframe (Daily, Weekly, or Monthly) and monitors price for breakout events followed by retests of those levels. When a valid retest is confirmed within the specified window, the script displays a Bullish or Bearish signal on the chart. Features • Classic Pivot Point calculation • Daily, Weekly, or Monthly pivot timeframe selection • Automatic breakout detection • Retest confirmation logic • Bullish and Bearish signal visualization • Configurable retest window • Alert support for signal events How It Works Bullish Conditions 1. Price breaks above a Pivot, R1, or R2 level. 2. The breakout is recorded. 3. Price retests the broken level within the user-defined retest window. 4. If price closes back above the level after the retest, a Bullish signal is generated. Bearish Conditions 1. Price breaks below a Pivot, S1, or S2 level. 2. The breakdown is recorded. 3. Price retests the broken level within the user-defined retest window. 4. If price closes back below the level after the retest, a Bearish signal is generated. Inputs Pivot Timeframe Select the timeframe used to calculate pivot levels: • Daily • Weekly • Monthly Retest Window Determines how many candles are allowed between the breakout and the retest confirmation. Alerts The script includes built-in alert conditions: • Bullish Alert • Bearish Alert Alerts can be used with TradingView's notification system or connected to external workflows. Notes • Pivot levels are calculated using completed higher-timeframe data. • Signals are generated only after both breakout and retest conditions are satisfied. • The indicator is intended as an analytical tool and may be combined with other forms of technical analysis. Limitations • Signals can occur during ranging or volatile market conditions. • Not every breakout or retest will lead to sustained price movement. • Additional confirmation methods may be useful depending on the market and trading style.
אינדיקטור Pine Script®
מאת ‎algo_aakash‎
1
Peak Decoder v1.0Kurzbeschreibung: Ein hochentwickelter, strukturbasierter Oszillator, der die relative Position des Preises innerhalb seiner aktuellen Handelsspanne entschlüsselt. Das Tool identifiziert vollautomatisch die mathematischen und visuellen Scheitelpunkte (Peaks & Troughs) in den Extremzonen und filtert kurzfristiges Marktrauschen sowie Fehlausbrüche effektiv heraus. Hauptfunktionen & Funktionsweise:Drei integrierte Sensitivitäts-Modi: Über das Einstellungsmenü kann die Reaktivität des Algorithmus fliegend gewechselt werden: Aggressiv: Extrem schnell, optimiert für das Scalping in kleinsten Zeiteinheiten. Normal: Die ausgewogene Standard-Einstellung für das klassische Daytrading. Passiv: Filtert starkes Rauschen heraus, ideal für die übergeordnete Trendbestimmung (HTF). Intelligenter Bounce- & Wellenfilter: Der Indikator speichert Ausbrüche in den Extremzonen im Zwischenspeicher. Er wartet geduldig, bis eine Bewegung endgültig abgeschlossen ist. Entstehen tiefere Täler oder höhere Hochs innerhalb derselben Phase, wandert das Signal automatisch mit. Striktes Wechselsystem: Die Logik erzwingt ein sauberes, alternierendes Signalmuster (Top ➔ Bottom ➔ Top). Dadurch werden mehrfache Fehlsignale auf derselben Seite in volatilen Seitwärtsphasen komplett eliminiert. Präzise visuelle Signale: Bestätigte Wendepunkte werden mit dezenten Kreisen direkt auf der Wellenspitze markiert. Zur besseren Übersicht wird ein fetter Richtungspfeil horizontal (auf 3 Uhr) daneben platziert. Anwendung im Trading:Der Oszillator dient als hervorragender Filter zur Bestimmung von Premium- (Überkauft) und Discount-Zonen (Überverkauft) im Rahmen von Smart Money Concepts (SMC) oder klassischen Marktstruktur-Strategien. Rot (Oben): Potenzielle Erschöpfung der Käufer, Vorbereitung für Short-Setups. Grün (Unten): Potenzielle Erschöpfung der Verkäufer, Vorbereitung für Long-Setups. Enthält eine voll integrierte Alarm-Schnittstelle (alert()), die pro Bar-Close einmalig auslöst, sobald ein Peak final bestätigt wurde.
אינדיקטור Pine Script®
מאת ‎Berzerker666‎
1
Prev Day & Week Levels + OR + Breakout/RejectionAll-in-one key level indicator — Previous Day/Week OHLC extensions, 5-min Opening Range, and automatic Breakout & Rejection signals. Automatically plots the Previous Day and Previous Week High, Low, Mid, ±150%, and ±200% extension levels — giving you the full price map before the session even begins. 🕯️ Opening Range (First 5 Minutes) Captures the High, Low, Mid, and ±150% extensions of the first 5-minute candle range of each session. Resets cleanly every day. Session window is fully customizable (default: 9:15–9:20 IST for NSE). ⚡ Breakout & Rejection Signals (PD/PW Levels Only) Signals fire automatically when price interacts with key Day or Week levels. ▲ BO — Bullish Breakout: Close clears above the level decisively ▼ BO — Bearish Breakdown: Close breaks below the level decisively ↑ REJ — Bullish Rejection: Wick pierces below, candle closes back above ↓ REJ — Bearish Rejection: Wick pierces above, candle closes back below ✅ Only ONE signal per level per day/week — no repeated labels on the same level. OR levels are intentionally excluded from signal detection to keep the chart clean. ⚙️ Fully Customizable • Toggle Day / Week / OR levels independently • Choose line color and style (solid / dotted / dashed) per group • Enable or disable historical levels • Tune Breakout close threshold and Rejection wick ratio • Adjust session open window to match your exchange 🕐 Designed for NSE (IST timezone) — works on any intraday timeframe (1m, 3m, 5m, 15m recommended).
אינדיקטור Pine Script®
מאת ‎thulashimohanr‎
Volume Drift Profile [JOAT]Volume Drift Profile Introduction Volume Drift Profile is an open-source trend detection indicator that derives directional bias from rolling pivot averages rather than fixed moving averages, and visualizes volume directly on the drift lines themselves as a histogram. The volume histogram coloring adapts to three modes — delta (buy-sell pressure gradient), trend (directional mono-color), and spike-highlighted — making the volume context immediately readable without a separate volume panel. Most trend indicators separate the price trend line from the volume analysis. The trend line tells you the direction; you look at a separate volume bar panel to interpret whether that direction is supported. Volume Drift Profile overlaps both by rendering volume bars along the drift lines themselves, so the relationship between trend level and volume support is visually immediate. Core Concepts 1. Pivot Drift Line Calculation The upper drift line is the rolling average of the most recent N confirmed pivot highs. The lower drift line is the rolling average of the most recent N confirmed pivot lows. This produces smoothed, structurally-anchored reference levels that adapt as new pivots confirm, rather than a fixed-period moving average that treats all bars equally. if not na(ph) phArr.push(ph) if phArr.size() > avgCount : phArr.shift() upperDrift := phArr.avg() Trend flips when price crosses above the upper drift (bull) or below the lower drift (bear). 2. Volume Normalization Volume is normalized by its 200-bar standard deviation, capped at 4. This z-score-like measure produces a 0-4 scale where 4 represents an extreme volume spike. The step height of each volume bar on the drift line is proportional to this normalized value, so spike bars visually dominate the histogram. 3. Three Volume Coloring Modes Delta mode computes a buy ratio from (close - low) / (high - low) and maps it through color.from_gradient() between the bear and bull theme colors. Bars with higher closes relative to their range appear in bull color; lower closes in bear color. Volume intensity is further modulated by the normalized volume level. Trend mode uses a single directional color with intensity modulated by normalized volume. Spike mode uses trend color normally but switches to a dedicated spike color for bars where normalized volume reaches the extreme level. 4. Absorption Detection An absorption bar is identified when volume exceeds twice the 20-bar average (high institutional participation) while the body-to-range ratio is below 30% (price closes near where it opened). This pattern suggests large volume without directional price movement — potential institutional accumulation or distribution. 5. Volume-Weighted Momentum A running Volume-Weighted Momentum reading tracks cumulative signed volume weighted by price change, normalized to a readable scale. This reading reflects directional institutional bias — rising VWM during an uptrend suggests genuine buying pressure supports the move. Features Pivot drift lines: Upper and lower drift from rolling average of last N confirmed pivot highs and lows Volume histogram on drift lines: Volume bars rendered along the active drift line, sized by normalized volume Three volume coloring modes: Delta (buy-sell gradient), Trend (directional mono), Spikes (trend + spike highlights) Gradient fill between drift and price: Translucent fill between the active drift line and current price Candle volume coloring: Optional bar coloring by volume intensity and trend direction simultaneously Spike detection and highlighting: Bars with extreme normalized volume shown in dedicated spike color Absorption detection: High-volume, small-body bars marked as potential institutional absorption events Volume-Weighted Momentum display: VWM reading normalized and displayed in dashboard Trend flip labels: Clean text labels at trend reversal points with direction indicator Non-repainting: Pivot detection uses standard confirmed pivot functions with symmetric lookback Dashboard: 8-row table with trend direction, volume mode, volume intensity, absorption state, spike state, bars in trend, and VWM Input Parameters Drift Structure: Pivot Lookback: Bars required on each side for pivot confirmation (default: 8) Pivot Avg Count: Number of pivots to average for drift line (default: 3) Volume: Volume Color Mode: Delta / Trend / Spikes Histogram Height: Scale of volume bars on drift line (default: 0.3) Show Volume Histogram toggle Color Price Bars toggle Show Drift Fill toggle Spike Color Absorption: Show Absorption Dots toggle Absorption Volume Multiple (default: 2.0) Max Body Ratio for absorption detection (default: 0.3) How to Use This Indicator Step 1: Read the Drift Line Direction The active drift line (lower drift in uptrend, upper drift in downtrend) is the primary trend reference. When price is above the lower drift, the trend is bullish. When price crosses the upper drift downward, the trend flips bearish. Step 2: Interpret Volume Histogram Color In Delta mode, teal/bull-colored bars represent buying pressure dominating that bar; bear-colored bars represent selling pressure. When large volume bars appear in the trend direction, it confirms the drift. Step 3: Monitor Absorption Events Absorption dots mark bars where institutional participants may be accumulating. Large absorption bars at drift line levels are particularly significant — they suggest the drift level is actively defended. Step 4: Use VWM as Direction Confirmer Rising VWM during an uptrend means volume-weighted momentum supports price movement. Flat or declining VWM during an uptrend flags weak participation — a potential warning of trend exhaustion. Indicator Limitations Drift lines require at least N confirmed pivots to begin rendering. In early bars of a new chart, the lines will be absent The volume histogram renders along the drift line. In periods of very high drift line slope, the histogram may visually overlap the price range Absorption detection uses volume relative to a 20-bar average. In low-liquidity environments, the threshold may trigger on routine trading activity The pivot lookback introduces a lag between when a pivot forms and when the drift line updates Originality Statement Rendering a volume histogram directly along pivot drift lines — rather than in a separate panel — as a real-time visualization that integrates trend level and volume support in a single overlay is an original approach Three independently selectable volume coloring modes driven by a normalized volume z-score, combined with buy-ratio gradient coloring in delta mode, is not replicated in existing open-source pivot drift indicator publications Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. The author accepts no responsibility for trading losses resulting from use of this indicator. Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
VWAP Anker: Time, ATH/ATL, Swings, Pivots & Dynamic AlertsVWAP Ultimate: Time, ATH/ATL & Bear-Market Swings VWAP Ultimate combines multiple important VWAP anchors into a single indicator, helping traders identify institutional price levels, long-term market structure, and key support and resistance zones. Instead of relying on a single traditional VWAP, this indicator provides several anchoring methods that offer different perspectives on market behavior. Included VWAP Types 📅 Time-Based VWAPs Daily VWAP Weekly VWAP Monthly VWAP These VWAPs automatically reset at the beginning of each new period and are especially useful for: Intraday trading Swing trading Trend identification Dynamic support and resistance levels 🚀 All-Time High VWAP (ATH VWAP) This VWAP is anchored from the asset's historical all-time high. Use cases: Evaluating market strength after major bullish moves Identifying long-term resistance and support zones Estimating institutional cost basis above historical highs 📉 All-Time Low VWAP (ATL VWAP) This VWAP is anchored from the asset's historical all-time low. Use cases: Analyzing long-term accumulation phases Identifying major support areas Evaluating long-term market cycles 🐻 Bear Market Swing VWAPs The indicator detects significant swing highs and swing lows using a 20/20 pivot structure. Calculated levels: VWAP anchored to the most recent significant swing high VWAP anchored to the most recent significant swing low These levels are particularly useful during: Bear markets Market corrections Trend reversals Identification of institutional entry and exit zones Customization Each VWAP category can be enabled or disabled independently: ✅ Time-Based VWAPs (D/W/M) ✅ ATH / ATL VWAPs ✅ Bear Market Swing VWAPs This allows traders to tailor the chart to their specific trading style and analysis needs. Markets & Use Cases This indicator can be applied to: Stocks Cryptocurrencies Indices Futures Forex It is especially valuable for traders and investors who analyze multiple time horizons and want to combine key market anchors into a single tool. Core Concept VWAP levels are widely used by institutional market participants as a benchmark for fair value. By combining time-based, historical, and structural anchor points, this indicator provides a broader view of market structure than a standard VWAP alone. A comprehensive tool for analyzing trend direction, market structure, and long-term support and resistance levels within a single indicator.
אינדיקטור Pine Script®
מאת ‎skaype‎
OMSF Learning SpaceWelcome to the Omsf Learning Space. This is not a commercial "holy grail" indicator, nor is it a rigid, corporate course. This is my personal sandbox and educational archive where I dissect market structure, breakout mechanics, and reversal setups. THE CORE PHILOSOPHY: Everything in this space is built upon my Omsf (Objective Market Structure Framework). Whether you are a beginner trying to understand how charts breathe, or an advanced trader looking for mechanical rules – this space is designed to give you a clear, visual reality check. WHAT TO EXPECT: This script is dynamic and will change organically over time. As I publish new trading ideas, research notes, or structural concepts, this indicator will adapt. Old parts might get swapped out, new experiments will be added, or it might evolve into a v2.0 down the road. There is no fixed schedule. It updates when it updates. CURRENT VERSION (Launch): Right now, we are looking at the foundational mechanics: Classic, rigid Pivots alongside the dynamic volatility adjustment of the Omsf. - Toggle "Exercise 1" to stress-test both engines in the configuration sandbox. - Toggle "Outlook" to see how classic Pivots perform when taken literally as a trend filter. Enjoy the sandbox, play with the parameters, and use the Bar Replay. See you in the ideas section! — arni
אינדיקטור Pine Script®
מאת ‎arnipoer‎
2
Compass | AnonycryptousCompass | Anonycryptous Description & user manual Credits The weekly psychological level calculation in this indicator is based on open-source code originally published on TradingView. The original script was created by plasmapug. Continued development was done by infernixx, Peshocore, and xtech5192 in collaboration with TradersReality. Significant modifications have been made to integrate this component into the Compass framework. Why this indicator is different Most indicators answer one question. A moving average tells you the trend direction. An oscillator tells you momentum. A session box tells you the time. A volume indicator tells you participation. Each one is useful. None of them tells you where you are. Before placing a trade, a trader needs to answer several questions simultaneously. What session is active and what does that mean for the type of price action to expect? Where does the macro trend stand? Is volume confirming the move or contradicting it? Are there open imbalances nearby that price may return to? How much of the day's expected range has already been consumed? Where are the key structural levels — pivots, the daily open, prior week references? Answering each of these questions separately requires stacking tool after tool until the chart becomes unreadable. Compass answers all of them at once. It is not a signal indicator. It does not fire arrows or tell you when to buy or sell. What it does is something more fundamental: it gives you a complete read of the market environment before any decision is made. Sessions, trend, volume, imbalances, range levels, pivots, psychological references — all in one overlay, all configurable, all on one chart. The design philosophy is orientation first. Decision second. Compass tells you where you are. What you do with that is your responsibility. Important notice Compass does not generate trading signals. It does not tell you when to buy or sell. It does not predict market direction. It does not replace your trading strategy or your own analysis. All illustrative examples in this manual are for educational purposes only and are not trading recommendations. All trading decisions remain entirely with the user. Always apply your own judgment and manage your own risk. 1. Overview Compass is a comprehensive market context indicator that combines eleven independent analysis frameworks into one unified overlay. Every component is individually toggleable. Six presets are included for different trading styles, from fast scalping to full multi-component analysis. What it includes: - Five-EMA suite with adaptive cloud around the EMA 50 - EMA crossover system with configurable signals and candle coloring - Stochastic RSI background alerts with four alert types and RSI divergence detection - PVSRA volume vector candle analysis with zone tracking and configurable thresholds - Eight global market sessions with automatic DST awareness - Average daily, weekly, and monthly range levels with 50% midpoints - Classic pivot points with mid-point levels - Daily open reference line with historical opens - Fair value gap detection with partial absorption tracking - Weekly psychological level tracking - Live dashboard with eighteen data points across all active components 2. EMA suite Five exponential moving averages are plotted simultaneously: EMA 5, EMA 13, EMA 50, EMA 200, and EMA 800. Together they cover short-term momentum, medium-term trend direction, macro trend, and long-term structural bias. The EMA 50 is wrapped in a dynamic cloud calculated from two standard deviations of price. The cloud expands during volatility and contracts during consolidation. A widening cloud indicates active price discovery. A thinning cloud indicates equilibrium or compression before a directional move. The EMA 200 is the primary macro bias filter. Price above it defines a broadly bullish environment. Price below it defines a broadly bearish environment. This is shown in the dashboard at all times. The EMA 800 provides long-term structural context, particularly useful on mid to higher timeframes where it marks the gravitational center of multi-month price structure. All five EMA lengths are configurable. Each has individual color and transparency controls. An EMA label option displays the current value at the right edge of each line. 3. EMA cross system The EMA cross tracks a configurable fast EMA crossing a configurable slow EMA and marks the crossover bar. All candles after a cross continue in the direction of that cross until the opposite cross fires. Three display modes are available: show both the fast and slow EMA lines, show a single consolidated EMA line, or hide the EMA lines entirely while keeping the crossover signals visible. This component is a trend state indicator, not a trade trigger. A bull cross does not mean buy. It means the short-term trend has shifted upward relative to the medium-term average. Signals and candle coloring can be toggled independently. 4. Stochastic RSI The stochastic RSI component runs a standard stochastic RSI calculation and generates background color alerts based on crossover conditions at configurable band levels. Four alert types are available, each independently toggleable: Middle band crossover — K line crosses D line near the 50 level. Indicates a possible trend shift in momentum. Overbought/oversold crossover — K line crosses D line from overbought or oversold territory. Indicates a potential reversal from an extreme. Entering overbought — K line crosses above the upper band. Indicates that momentum has moved into overbought territory. Entering oversold — K line crosses below the lower band. Indicates that momentum has moved into oversold territory. The dashboard displays the current stochastic RSI state and the RSI value. RSI appears in green when above the midline and in red when below. Regular bullish and bearish divergence is detected automatically and shown in the dashboard as a directional label. When divergence is active, a thin reference line appears on the price chart marking the divergence candles. 5. PVSRA volume vector analysis PVSRA analysis colors candles based on volume relative to the 10-bar average and the relationship between volume and candle spread. Four vector types: Green vector — bullish bar where volume is at or above the green/red threshold (default 200% of the 10-bar average), or where volume multiplied by spread is the highest of the last 10 bars. Indicates strong bullish institutional participation. Red vector — same conditions on a bearish bar. Indicates strong bearish institutional participation. Blue vector — bullish bar where volume is at or above the blue/violet threshold (default 150% of average). Indicates elevated bullish volume below the institutional threshold. Violet vector — same conditions on a bearish bar. Indicates elevated bearish volume. Grey — no vector conditions met. Normal volume. Both thresholds are configurable directly from the settings panel. Blue and violet signals are strictly exclusive from green and red — a bar cannot qualify for both simultaneously. Vector candle zones draw boxes at each vector candle location and remain active until price moves through the zone, marking areas where elevated institutional activity was detected at the time the candle formed. The PVSRA override input allows a different symbol to be used for the volume calculation. This is useful when the charted instrument has unreliable volume data, such as CFDs, perpetual swaps, or instruments where the primary volume is on a related market. 6. Market sessions Eight global trading sessions are tracked simultaneously, each with automatic DST awareness. Sessions are displayed as expanding boxes with high and low lines and a real-time label showing the session open. Sessions included: - London: 08:00–16:30 UTC - New York: 14:30–21:00 UTC - Tokyo: 00:00–06:00 UTC - Hong Kong: 01:30–08:00 UTC - Sydney: 22:00–06:00 UTC - EU brinks: 08:00–09:00 UTC - US brinks: 14:00–15:00 UTC - Frankfurt: 07:00–16:30 UTC DST is handled automatically for London, New York, and Sydney. No manual adjustment is needed. Each session can be toggled individually, and box color, transparency, and label color are fully configurable per session. Session context matters because market behavior differs significantly depending on which participants are active. London and New York overlap produces the highest volume and fastest price movement. Tokyo and Sydney sessions tend to consolidate. The brinks windows mark the transition periods where session highs and lows often form. 7. Range levels Three statistical range frameworks measure the expected price range for the current period based on historical averages. Average daily range (ADR) — the expected high and low for the current trading day. When price reaches the ADR level, the day's expected range has been consumed. Moves beyond the ADR are extension moves that occur with lower statistical probability and often mean-revert. The dashboard shows ADR % used — how much of today's expected range has already been consumed. Above 80% indicates the day is approaching its expected limit. Average weekly range (AWR) — the same concept applied to the current week. Useful for assessing how much room the week has left to move. Average monthly range (AMR) — the same concept applied to the current month. Provides macro context for position sizing and target expectations. Each framework includes a 50% midpoint level marking the center of the expected range. The ADR measure from daily open option calculates the range starting from that day's open price rather than the statistical high, making the levels static for the entire day. All three frameworks have individual lookback period inputs, color controls, line styles, and label toggles. 8. Pivot points Classic pivot points are calculated from the prior day's high, low, and close. Levels include PP, R1/S1, R2/S2, R3/S3, and M mid-point levels between each major level. Pivot points provide structural reference for the current session. Price above PP defines a broadly bullish day structure. R levels act as potential resistance targets. S levels act as potential support targets. M levels provide intermediate precision references between major pivots. All levels can be toggled individually. Lines extend rightward from the prior session and can optionally extend in both directions. Each level has individual color and line style controls. 9. Daily open A horizontal line marks the current day's opening price. This is one of the most referenced structural levels among short-term traders because it defines the starting point for the day's price discovery. Price above the daily open reflects a bullish session bias. Price below reflects a bearish session bias. When price oscillates around the daily open without committing direction, the session is in balance — a lower probability environment for trend trades. Historical daily opens can optionally be shown as reference for prior day context. 10. Fair value gaps A fair value gap is a three-bar imbalance where price moved through a range without leaving two-sided trade — the low of the upper candle is above the high of the lower candle (bullish gap) or vice versa (bearish gap). These areas represent unfinished business where the market may return to achieve balance. Gaps are filtered by a minimum width threshold expressed as a multiple of ATR. Gaps narrower than the threshold are excluded. Partial absorption is tracked — as price returns into the gap, the fill color changes to show how much of the imbalance has been recovered. Fully mitigated gaps can be kept on the chart as historical reference or deleted automatically to maintain a clean view. 11. Psychological levels Weekly psychological levels mark the prior week's high and low as calculated by a specific session-anchored method. These levels represent deliberate structural references where participants have previously committed size — breakouts and rejections around these levels tend to be more intentional than random price noise. Three GMT offset options accommodate the session anchor calculation for different global market structures. Two mode options are available: crypto (weekly reset on Saturday Sydney open) and forex (weekly reset on Monday Tokyo open). 12. Settings reference Preset - Custom: full manual control over all settings. - Clean scalper: sessions, EMA suite, FVG, subtle candle coloring. Low noise. - Full context: everything on, medium transparency. Best for analysis. - Signal focus: EMA cross, stoch RSI background, PVSRA bar color prominent. Rest subtle. - Minimal: sessions, daily open, ADR only. No signals. - PVSRA pro: PVSRA and vector candle zones central. EMA 200 and 800 only. Global settings - Master opacity offset (custom preset only): shifts all transparency values simultaneously. - Show bull/bear label text: shows or hides text on EMA cross signal triangles. EMA suite - Show EMA suite and labels - Individual EMA color and transparency controls - EMA cloud fill and border transparency - EMA line width EMA cross - Show EMA cross signals - Fast EMA, slow EMA, and consolidated EMA lengths - Show both EMAs or consolidated only - Bull, bear, and neutral colors and transparency - Cross EMA line width Stochastic RSI - Show stochastic RSI background alerts - RSI length and stochastic length - Overbought and oversold band levels - Individual alert type toggles (four types) - Alert colors and transparency - RSI divergence lookback period - Divergence line color and width PVSRA - Vector colors (red, green, violet, blue, regular up/down) - Green/red threshold (× average volume, default 2.0) - Blue/violet threshold (× average volume, default 1.5) - Include spread filter for green/red classification - Override symbol toggle and input - Show vector candle zones with transparency and width settings Candle coloring - Enable candle coloring - Coloring mode: EMA cross / PVSRA / EMA 200 / off - Bull and bear candle color and transparency Market sessions - Show market sessions - Session timezone - Show sessions on weekends - Session high/low line style and width - Per session: toggle, box color, transparency, label color Range levels - Show ADR, AWR, AMR (individual toggles) - Lookback periods for each - Show 50% midpoint levels - Measure from daily open (ADR only) - Color, transparency, line width, line style, labels Pivot points - Show PP, R1/S1, R2/S2, R3/S3, M levels individually - Show labels - Extend lines both directions - Individual level colors and line styles - Pivot line width Daily open - Show daily open - Show label - Show historical daily opens - Color, transparency, line width Fair value gaps - Show fair value gaps - Width filter (ATR multiplier) - Extend to current bar - Bullish and bearish FVG colors - Mitigation fill colors - Keep historical FVGs after mitigation Psychological levels - Show psy levels and labels - Show historical psy levels - GMT offset (GMT+1, GMT+2, GMT+3) - Psy type: crypto or forex - High and low colors and transparency Dashboard - Show dashboard - Position: top left, top right, bottom left, bottom right - Size: tiny, small, normal 13. Dashboard reference The dashboard provides eighteen live data points across all active components: Session — the currently active market session. EMA cross — current EMA cross direction: bull or bear. EMA 200 — whether price is above or below the EMA 200. Stoch RSI — current stochastic RSI condition. RSI — current RSI value, colored green above midline and red below. RSI divergence — active bullish or bearish divergence, or none. PVSRA — current candle vector type. ADR % used — how much of today's expected daily range has been consumed. FVG active — count of open unmitigated fair value gaps and mitigation percentage. Psy level — whether price is above or below the prior week's psychological level. Timezone — active session timezone setting. VCZ active — count of active vector candle zones above and below current price. Pivot PP — current pivot point value. Daily open — current daily open price and direction. 14. How to use 14.1 Initial setup Select a preset that matches your primary trading style. Adjust the session timezone to match your location or your primary exchange. If you trade an instrument with unreliable volume data, enable the PVSRA override and set it to a correlated liquid instrument. Set the ADR lookback period to your preference — 14 days is a standard starting point. For FVGs, set the width filter to 0.5 or higher to exclude minor gaps. 14.2 Reading the dashboard The dashboard is the fastest way to orient yourself on a new chart or a new session. Check session, EMA cross direction, EMA 200 position, stoch RSI state, and ADR consumed before anything else. Five seconds to a full picture of where the market stands. 14.3 Reading the chart Check EMA alignment. When EMA 13, EMA 50, and EMA 200 are stacked in the same direction, the trend is more significant than a single crossover. Divergence between them reflects a transition or competing timeframe pressures. Check ADR percentage. Below 50% means the day has statistical room to move. Above 80% means the day is near its expected limit and extension moves are less probable. Look for open FVGs near current price. An unmitigated FVG in the direction of the prevailing trend is a precision reference area where price has historically returned. Check the psy level. If price is approaching the prior week's high or low, be aware that participant behavior around those references tends to be deliberate. 14.4 Timeframe guide 1 minute to 3 minutes — clean scalper preset, candle coloring set to EMA cross. 5 minutes to 15 minutes — clean scalper or signal focus preset. 30 minutes to 1 hour — full context preset, use ADR and pivot points. 4 hours to daily — full context or minimal preset. 14.5 Tips PVSRA override — use when your broker's volume data is unreliable, when you trade a CFD or derivative with synthetic volume, or when you want spot market volume for a futures chart. Master opacity offset — adding 10 to 20 increases overall transparency and dims the chart if it feels cluttered. Subtracting 10 to 20 makes all elements more prominent. This shifts all transparency values simultaneously without changing individual settings. Only active in custom preset. Not every component needs to be active at once. Most traders will find three to four components provide the context they need for their specific setup. 15. Disclaimer This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of trading recommendation. Trading financial instruments involves substantial risk of loss. Past performance is not indicative of future results. You may lose all of your invested capital. All trading decisions are made entirely by the user. Use at your own discretion.
אינדיקטור Pine Script®
מאת ‎Anonycryptous‎
Elliott Structure Pro RC [Gabremoku]Elliott Structure Pro RC is a market structure and wave-mapping overlay designed to detect candidate Elliott impulse patterns using pivot logic, ZigZag structure, validation rules, invalidation levels, and projected Fibonacci targets. This script does not claim to produce definitive Elliott Wave counts. Instead, it scans recent pivot structure and highlights the most coherent bullish or bearish candidate sequence based on alternating swing logic, structural progression, and optional Elliott validation filters. That framing is important because Elliott Wave interpretation is inherently subjective, while the classic impulse model still relies on a few widely accepted structural rules. What it shows 🔺 ZigZag market structure — the script builds a cleaned pivot path from swing highs and lows, filtering out smaller fluctuations to make structure easier to read. ZigZag-style logic is commonly used to reduce chart noise and highlight meaningful turning points. 🏷️ HH / HL / LH / LL tags — every pivot can be classified into higher high, higher low, lower high, or lower low structure, helping the user read trend progression directly from price swings. 🌊 Candidate Elliott 1–5 sequence — the script scans recent pivots and searches for the best bullish or bearish 5-wave impulse candidate. ❌ Invalidation tracking — once a candidate is found, the script projects an invalidation level and can flag when the structure has been broken. 🔤 Optional ABC correction — after a 5-wave sequence, the indicator can also look for a basic A-B-C corrective continuation. 📏 Fibonacci projections — projected target levels for Wave 3 and Wave 5 are plotted using configurable Fibonacci multipliers. Fibonacci extensions are commonly used in Elliott analysis to estimate probable Wave 3 and Wave 5 zones. 🪧 Dashboard — shows state, mode, pivot count, direction, validation strictness, ABC status, broken structure state, and target visibility. Core logic The script begins with pivot highs and pivot lows, then compresses them into a cleaner alternating sequence. From there, it builds a structural map and scans the most recent pivots to find a valid 6-point sequence that can represent a 5-wave bullish or bearish impulse candidate. In practical terms, it combines: market structure ZigZag logic Elliott candidate matching rule-based validation invalidation and target projection That makes it useful as a structure-reading tool first, and an Elliott helper second. Validation model The script offers two operating styles: Semplificato Avanzato In simplified mode, the indicator focuses more on structural coherence and swing progression. In advanced mode, it can apply stricter Elliott-style validation rules such as: Wave 3 not shortest Wave 4 no overlap with Wave 1 territory invalid candidate marking when rules are not respected Those rules align with widely cited core Elliott impulse rules. In standard impulse structures, Wave 3 may not be the shortest of Waves 1, 3, and 5, and Wave 4 should not overlap Wave 1 territory except in special formations such as certain diagonals. Fibonacci targets The indicator also projects two practical target references: Wave 3 target Wave 5 target In Elliott analysis, Wave 3 is often projected using Fibonacci expansion of Wave 1, with 1.618 being one of the most common reference ratios, while Wave 5 is often estimated from prior impulse relationships or partial trend expansion logic. Your script uses configurable multipliers, which is a good choice because different markets and timeframes can produce different expansion behaviors. How to use A practical workflow is: Let the script identify the active pivot structure. Check whether the chart is printing HH/HL or LH/LL logic. Watch for a highlighted bullish or bearish 1–5 candidate. Use the invalidation level to judge whether the count remains structurally valid. Use projected Fib targets as reference zones, not guaranteed endpoints. If enabled, monitor whether a simple ABC correction starts forming after the impulse. This is best used as a decision-support overlay, especially for traders who already read market structure and want an automated way to visualize possible wave candidates. Features ✅ Pivot-based market structure engine ✅ ZigZag overlay with configurable sensitivity ✅ HH / HL / LH / LL classification ✅ Candidate bullish and bearish Elliott impulse detection ✅ Simplified or advanced scan mode ✅ Optional strict Elliott validation ✅ Wave 3 not shortest filter ✅ Wave 4 overlap validation ✅ Broken-structure detection ✅ Invalidation level plotting ✅ Optional ABC correction detection ✅ Fibonacci Wave 3 / Wave 5 projections ✅ Dashboard and optional bar coloring ✅ Gradient-based swing visualization Notes This indicator is designed to identify candidate Elliott structures, not to replace discretionary wave analysis. Elliott interpretation is partly rule-based and partly interpretative, so projected counts and targets should always be confirmed with broader market context, price action, and risk management. Author: Gabremoku Pine Script v6
אינדיקטור Pine Script®
מאת ‎Gabremoku‎
Apex Pivot & S/R Dynamics [Pineify]Apex Pivot & S/R Dynamics This indicator maps structural support and resistance directly from confirmed pivot highs and lows, then tracks each level in real time until price decisively closes through it. Rather than drawing static zones at fixed intervals, every line is anchored to an actual swing point and extended bar by bar — the moment a close-based breach occurs, the line is deleted and a breakout label appears. The result is a chart that reflects only the levels that are still relevant right now. Key Features Pivot-confirmed S/R lines drawn at the exact bar where a swing high or low was established Close-based breakout detection with a one-bar confirmation filter — no reaction to wicks alone Automatic line removal on breach, keeping the chart free of invalidated levels Configurable cap on active lines per side; oldest unbroken levels drop off when the limit is hit Separate color controls for resistance, support, bullish breakout labels, and bearish breakout labels How It Works Pine's built-in ta.pivothigh() and ta.pivotlow() functions require price to form a local extreme confirmed by length bars on both sides. A pivot confirmed with length=15 means the indicator "sees" it 15 bars after it forms — and draws the line aligned back to that original swing bar. This lag is inherent to pivot detection and trades off responsiveness for confirmation quality. Each confirmed pivot spawns a dashed horizontal line stored in a typed array alongside its exact price. Every subsequent bar, the loop iterates through active lines and extends them to the current bar. When a close-above-resistance or close-below-support transition occurs (previous close on the wrong side, current close on the right side), the breakout condition fires: the line is deleted from the array, an annotated label is placed, and the level is gone from the chart permanently. Bars accumulate until a swing extreme is confirmed on both sides A dashed line is created at the pivot price, extending right indefinitely Each bar, the loop checks whether price has closed through each level On breach: label placed, line deleted, level removed from active tracking If unbroken levels exceed the configured cap, the oldest is silently removed How the Components Work Together The pivot detection sets the quality bar for which prices become levels — only price extremes that the market has already tested and respected on both sides qualify. The one-bar close confirmation then filters out wicks that pierce a level intrabar but don't follow through: a single candle that closes back inside the range doesn't trigger a breakout. Together, these two filters mean the breakout label fires on the first candle that suggests actual intent to move away from the level, not just noise around it. The array-based memory management is what separates this from simpler implementations that draw lines and forget them. Because each line object is tracked with its price level, the indicator can cleanly unwind invalidated structure rather than letting stale lines accumulate across months of history. Trading Ideas and Insights On a retest setup: watch for price to pull back to a freshly broken resistance level (now acting as support) without triggering a new bearish breakout label — that silence is the confirmation When multiple resistance lines cluster within a few ticks of each other, the zone represents confluent supply; a breakout label through that cluster carries more weight than a breach of an isolated swing Use the breakout label count per session as a rough measure of trend strength — trending days tend to fire several same-direction labels in sequence, while ranging days flip back and forth On higher timeframes (daily, weekly), the lines mark major structural zones; consider using a tighter lookback (8–10) on intraday charts where swing structure is denser Past behavior at these levels does not guarantee future outcomes. S/R analysis works best when combined with volume, momentum, or broader context rather than used in isolation. Unique Aspects Lines are anchored to their originating pivot bar visually — the small triangle marker shows exactly which candle created each level, so you can assess the quality of the original swing without scrolling back Close-based breakout confirmation with a prior-bar check is more conservative than most pivot S/R scripts, which often fire on any penetration regardless of close location The self-cleaning design — lines disappear when breached and oldest lines drop when the cap is hit — makes the chart readable across all timeframes without manual cleanup How to Use Add to any chart; the indicator overlays directly on price with no separate pane Adjust "Pivot Lookback" to match your timeframe — higher values (20–30) on daily charts identify major structure; lower values (5–10) on intraday charts capture faster swings Red dashed lines are active resistance levels; green dashed lines are active support levels A blue "B" label above a bar signals a bullish breakout through resistance; an orange "B" below signals a bearish breakdown through support If the chart becomes crowded, lower "Max Active Lines" to keep only the most recent unbroken levels visible Customization Pivot Lookback (default: 15) — Controls how many bars on each side must be lower/higher to confirm a pivot. Increasing this confirms stronger, less frequent levels; decreasing it produces more levels with earlier detection but more sensitivity to minor swings. Highlight Breakouts (default: on) — Toggles the breakout labels. Turn off if you only want the S/R lines without annotation. Max Active Lines (default: 15) — Caps the number of lines per side. On instruments with very dense swing structure or long histories, reducing this to 8–10 keeps the chart uncluttered. Line and Label Colors — Four separate color inputs for resistance lines, support lines, bullish breakout labels, and bearish breakout labels. Adjust to match your chart theme. Conclusion Apex Pivot & S/R Dynamics automates the manual process of marking swing highs and lows, extending them forward, and cleaning them up when they are no longer valid. The close-based breakout filter and automatic array management mean the chart reflects current market structure rather than accumulated history. Traders focused on price action and structural levels — particularly those who trade retests and breakout continuations — will find this a practical alternative to manually drawn S/R zones.
אינדיקטור Pine Script®
מאת ‎Pineify‎
Echelon Trend Filter [JOAT]Echelon Trend Filter Introduction Echelon Trend Filter is a recursive digital trend filter that creates a clean trend spine, optional step-state transitions, EMA context, and pivot zones. This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used. Core Concepts 1. Recursive Filter The source is smoothed recursively to reduce minor bar noise. 2. Step-State Transitions Optional step mode holds the trend state until a meaningful transition occurs. 3. EMA Context A long EMA gives broader context for the filtered state. 4. Pivot Context Zones Recent pivots create reference zones around prior turning areas. state = step > step ? 1 : step < step ? -1 : state Features Digital trend spine Optional step-state behavior EMA cloud context Pivot context zones Confirmed transition alerts Input Parameters Filter length and source Step mode toggle Institutional EMA length Pivot length and zone width Cloud, candle, and panel toggles How to Use This Script Use the spine as trend context. Long and short transition labels mark confirmed state changes, while the EMA cloud helps judge broader alignment. Limitations The script uses historical OHLCV data and cannot know future prices. Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting. Model outputs should be interpreted with market context, risk controls, and independent analysis. No visual state should be treated as a certain trade outcome. Originality Statement Echelon is original in combining recursive smoothing, held state transitions, EMA context, and pivot zones into a minimal trend overlay. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment. -Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Pvt Fibo S&R to Target 12Pvt Fibo S&R to Target 12 is an institutional-grade breakout and automated target management engine built completely on classical Daily/Weekly/Monthly Pivot Points and Fibonacci Support/Resistance (S/R) levels. Instead of chasing lagging signals, this script monitors the heavy institutional liquidity pools yoked tightly to major horizontal key levels. By processing live price action through three selectable algorithmic breakout frameworks simultaneously, it provides non-repainting, highly optimized breakout signals coupled with an automated 2-tier take-profit sequence. 🎯 The 3 Multi-Mode Algorithmic Breakout Engines To adapt to varying market environments, the script operates 3 distinct breakout styles (all active by default to maximize strategic flexibility): Mode 1 (Volume & Candle Anatomy Expansion): Triggers only when the main pivot line is violated by a candle with significant volume (surpassing its 20-period SMA) and a tightly packed, dominant body ratio (Marubozu style). This mode filters out low-volume institutional retail traps (fakeouts). Mode 2 (Direct Raw Momentum Breakout): Fires immediately upon a raw crossover/crossunder of the key horizontal line. It completely strips away filters to capitalize on sudden, news-driven, hyper-aggressive market expansions where speed is paramount. Mode 3 (Safe-Zone Hold Confirmation): A strict trend-verification system designed for conservative execution. Rather than reacting to the initial breach, it tracks market absorption by requiring the price to successfully close and hold on the breakout side for X consecutive bars without slipping back across the line. 💰 Automated Target Lifecycle Management (Target 1-2) The script is natively engineered with a stateful order sequence controller optimized for webhook routers like WunderTrading. It eliminates manual intervention by actively trailing the position's lifecycle: The Entry: When any selected Mode condition is met, an entry signal (L1/L2/L3 or S1/S2/S3) prints visually on the chart and triggers the entry webhook message. Target 1 (Partial Take-Profit): The exact moment the live price breaches the first major Fibonacci extension line (R1 for Longs, S1 for Shorts), a TARGET-1 alert fires. This allows automated bots to scale out partially or move stops to break-even. Target 2 (Take-Profit & Position Liquidation): When the price strikes the primary institutional target line (R2 for Longs, S2 for Shorts), a TARGET-2 alert fires. Simultaneously, the internal position script state completely resets to zero, terminating the trade lifecycle securely without needing to wait for a lagging opposite signal. 🛠️ Key UI Parameters for Fine-Tuning Pivot Calculation Period: Shift smoothly between D (Daily), W (Weekly), or M (Monthly) horizontal levels. Daily/Weekly lines are highly recommended for intraday timeframes. Volume Multiplier: Increase this value (e.g., 1.8 or 2.0) to restrict Mode 1 signals only to massive, institutional-sized volume anomalies. Min Candle Body Ratio (%): Filter out indecisive dojis or long-wick candles by demanding a solid, determined candle structure during breakout tests. Safe-Zone Bar Count (X): Adjust the number of consecutive candle closes required for Mode 3 validation before entering. ⚡ Best Testing Environments & Timeframes Top Performing Timeframes: * 15-Minute (15m) and 1-Hour (1h) charts provide the ultimate balance between asset noise reduction and massive intra-week trend capture. 5-Minute (5m) charts work excellent for scalpers, provided you raise the Volume Multiplier to counter micro-fakeouts. Optimal Trading Assets: * Cryptocurrencies: High-momentum majors (BTC, ETH) that experience explosive expansion out of tight sideways consolidation ranges. Indices & Commodities: NASDAQ (NAS100), S&P500, and GOLD (XAU/USD) due to their aggressive trend continuity when major daily key levels break. Forex Major Pairs: EUR/USD, GBP/USD, and USD/JPY during high-liquidity New York and London session overlaps.
אינדיקטור Pine Script®
מאת ‎lisabyco‎
Fractal Exhaustion Band [QuantAlgo]🟢 Overview The Fractal Exhaustion Band is a trend-following indicator that replaces the fixed ATR multiplier common to most adaptive bands with the Fractal Dimension Index, scaling the buffer width in real time based on how efficiently price is consuming its recent range. Additionally, an extremum tracker accumulates swing highs and lows since the last confirmed flip to form an outer Band Edge, giving traders a structured range to position within the trend, identify exhaustion near its boundaries, and treat extensions beyond the edge as potential deviation signals ahead of a directional flip across any instrument or timeframe. 🟢 How It Works The core methodology is built around three sequential stages: a fractal dimension calculation that quantifies the structural quality of recent price movement, a dynamic buffer derived from that measurement, and a ratcheting trend line that advances only when market conditions justify it. First, the Fractal Dimension Index (FDI) is calculated by comparing the total path length price has travelled over the lookback window against the straight-line distance between its highest and lowest point. A value near 1 indicates clean, efficient trending. A value near 2 indicates erratic, space-filling movement. The ratio is log-normalised by the window size to keep it comparable across different FDI Period settings: fdi = high_ - low_ > 0 ? (math.log(len) - math.log(high_ - low_)) / math.log(power) : 0 Next, the FDI is fed directly into the buffer calculation as a scaling factor on top of the Band Width Multiplier and a 10-period ATR. This means the buffer is never fixed; it inflates when price behaviour is erratic and compresses when price is trending with conviction: dynamic_mult = sensitivity * (1 + fdi) buffer = atr * dynamic_mult The trend line then ratchets in the direction of the current trend, but only on bars where the FDI is below 1.5. This gate prevents the line from being dragged by price during high-fractal-dimension conditions, even if price has not yet breached the buffer threshold. A trend flip is only registered when price closes beyond the buffer on the opposite side: if fdi < 1.5 trend_line := math.max(trend_line, close - buffer) Finally, an extremum tracker accumulates the running high or low since the last confirmed flip, forming the outer Band Edge. A midline is derived as the average between this extremum and the trend line, creating a three-layer structure that encodes both the structural anchor of recent price extremes and the adaptive trend line beneath it: ex := trend_dir != trend_dir ? (trend_dir == 1 ? high : low) : trend_dir == 1 ? math.max(nz(ex , high), high) : math.min(nz(ex , low), low) mid = math.avg(ex, trend_line) 🟢 Signal Interpretation ▶ Bullish Trend (Band Rising with Bullish Colour): When price moves upward with sufficient efficiency to produce a low FDI reading and close above the trend line's buffer threshold, the trend direction flips to bullish and the entire band shifts to the bullish colour. From that point, the Fractal Line ratchets upward on each bar where the FDI remains below 1.5, while the extremum tracker accumulates successive highs to form the outer Band Edge above. The flat segments visible in the band reflect bars where the FDI gate suppressed movement, while upward steps reflect bars where trending conditions were confirmed. Within the bullish band, the Fractal Line and Band Edge define a structured trading range. Price oscillating between the two represents normal trend continuation behaviour, and pullbacks toward the Fractal Line can be treated as higher-probability long entries with the trend, using the Fractal Line itself as the logical invalidation level. The Band Mid serves as a directional gauge within that range; price holding above it reflects stronger momentum, while price drifting below it signals weakening conviction worth monitoring. When price pushes into the Band Edge zone and begins interacting with the accumulated swing highs, treat that as an exhaustion area rather than a continuation signal. Longs initiated near the Band Edge carry elevated risk of a short-term mean reversion back toward the Fractal Line. If price then extends meaningfully beyond the Band Edge, treat the extension as a deviation from the established structure. A deviation of this kind, particularly when accompanied by a rising FDI indicating deteriorating trend quality, is a preparatory signal to begin tightening long exposure and watching for the Fractal Line to be breached on the downside, which would confirm the bias flip to bearish. ▶ Bearish Trend (Band Declining with Bearish Colour): When price moves downward with sufficient efficiency to produce a low FDI reading and close below the trend line's buffer threshold, the trend direction flips to bearish and the band shifts to the bearish colour. The Fractal Line ratchets lower on each bar where the FDI gate permits, while the extremum tracker accumulates successive lows to form the outer Band Edge below. As with the bullish state, the filter holds its last value on bars where fractal dimension is elevated, and the direction state remains unchanged on those bars. Within the bearish band, the same structural logic applies in reverse. Price oscillating between the Fractal Line above and the Band Edge below represents normal bearish continuation, and bounces toward the Fractal Line can be treated as higher-probability short entries with the trend, using the Fractal Line as the invalidation level. The Band Mid again acts as a momentum gauge; price holding below it indicates sustained selling pressure, while recovery above it suggests the downtrend is losing conviction. When price pushes into the Band Edge zone and interacts with the accumulated swing lows, treat that region as exhaustion rather than confirmation of further downside. Shorts initiated near the Band Edge carry elevated mean-reversion risk back toward the Fractal Line. If price extends beyond the Band Edge to the downside, treat that extension as a structural deviation. A deviation paired with a rising FDI is a signal to begin reducing short exposure and watching for an upward breach of the Fractal Line, which would confirm the directional flip back to bullish. 🟢 Features ▶ Preconfigured Presets: Three parameter sets cover a range of trading styles and timeframes. "Default" delivers balanced noise filtering suited to swing trading on 4-hour and daily charts. "Fast Response" tightens the buffer and shortens the fractal measurement window for intraday and scalping use on 1-minute to 1-hour charts, producing earlier trend flips in response to smaller directional moves. "Smooth Trend" widens the buffer and extends the measurement window for position trading on daily and weekly charts, requiring a more sustained and efficient directional move before a trend flip is registered. ▶ Built-in Alerts: Three alert conditions support automated monitoring of trend transitions. Bullish Trend fires on the first bar where trend direction flips from bearish to bullish. Bearish Trend fires on the first bar where trend direction flips from bullish to bearish. Any Signal Change triggers on either transition for traders who want a single unified alert regardless of direction. All alerts include the exchange, ticker, and timeframe in the message for immediate context. ▶ Visual Customisation: Six colour presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) provide coordinated bullish and bearish colour pairings suited to different chart themes and personal preferences. Selecting Custom exposes independent colour pickers for full manual control over both states. The three-layer band fill uses graduated transparency across the outer edge, midline, and trend line zones to clearly distinguish structural from adaptive components at a glance. Optional bar colouring tints price candles with the active trend colour using a configurable transparency level, and optional background colouring extends the trend state tint across the full chart pane at a separately configurable transparency.
אינדיקטור Pine Script®
מאת ‎QuantAlgo‎
16
Swing Volume Structure [JOAT] Swing Volume Structure Introduction Swing Volume Structure is an open-source market structure indicator focused on confirmed pivots, volume-backed breakouts, sweeps, retests, and compression. It is designed to keep structure analysis clean by confirming pivots with right-side bars and confirming actionable states on bar close. The script helps traders distinguish ordinary swing movement from structure breaks that occur with volume expansion or sweep behavior. Core Concepts 1. Confirmed Pivot Structure Pivot highs and lows are confirmed using configurable left and right bars. Once confirmed, pivots are classified into structural context such as higher high, higher low, lower high, or lower low. 2. Volume Confirmation Breakout states are scored using volume relative to a moving average. Expansion volume strengthens breakout quality, while quiet volume can mark compression. 3. Sweep and Reclaim Behavior The script detects when price probes beyond a prior swing and then reclaims or rejects the level. This helps separate liquidity sweeps from clean breakouts. 4. Retest Logic After a structural break, retest behavior can support continuation when price returns to the broken area and holds. 5. Entry and Exit Rails Confirmed breakout or sweep states can draw entry, stop, TP1, and TP2 references using ATR and structure. Features Confirmed HH/HL/LH/LL structure: Pivots are classified after confirmation. Volume-backed breakouts: Break quality is strengthened by relative volume expansion. Sweep reclaim/reject states: Identifies failed breaks beyond prior swing levels. Inside compression detection: Detects quiet, compressed conditions. Supply/demand zones: Optional zones around important swing areas. Entry/exit rails: Optional risk references for accepted states. Candle tinting: Bars can reflect current structure state. HUD: Shows state, bias, pivot class, volume, nearest support/resistance, score, and bar counts. Alerts: Long breakout, short breakout, bullish sweep, bearish sweep, inside compression, and volume expansion. Input Parameters Structure: Pivot Left, Pivot Right, ATR Length, Zone ATR Thickness, Zone Extension Bars. Volume and Signals: Volume Average Length, Expansion Multiplier, Quiet Compression Threshold, Minimum Breakout Score, State Cooldown Bars. Risk and Visuals: Stop ATR Buffer, TP1 R, TP2 R, Rail Projection Bars, Tint Candles by State, Connect Confirmed Swings, Show Supply/Demand Zones, Pivot Labels, Active Support/Resistance, Structure HUD. How to Use This Indicator Step 1: Read structure bias Use the HUD and swing context to identify whether structure is improving, deteriorating, or balanced. Step 2: Separate breakouts from sweeps A breakout shows acceptance beyond structure. A sweep shows a probe and rejection or reclaim. These are different conditions. Step 3: Check volume Volume expansion can increase the importance of a break. Quiet volume can identify compression or lower-conviction movement. Indicator Limitations Pivots confirm only after the configured right bars complete. Volume confirmation depends on the quality of the symbol's volume feed. Supply/demand zones are approximations around swing areas, not exact order book data. Breakout and sweep states can fail during high-volatility reversals. Originality Statement Swing Volume Structure is original in how it combines confirmed pivot classification, volume expansion scoring, sweep/reclaim logic, retests, compression states, optional zones, candle states, and ATR risk rails into a single structure tool. Disclaimer This script is provided for educational and informational purposes only. It is not financial advice or a trade recommendation. Structure signals are based on historical candles and can fail. Use proper risk management. Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Helios Volatility Atlas [JOAT]Helios Volatility Atlas Introduction Helios Volatility Atlas is an open-source regime and volatility mapping indicator. It combines an adaptive baseline, DMI/ADX trend strength, volatility scoring, VWAP sigma bands, premium/discount structure, squeeze detection, retest zones, right-side level rails, and a top-right dashboard. The problem Helios addresses is market context. A trend signal means something different in compression than it does during expansion. A retest means something different near discount than it does at an outer volatility channel. Helios brings those layers into one chart so users can interpret price action with regime, volatility, and location in view. Core Concepts 1. Adaptive Baseline The baseline blends an EMA-style trend component with an efficiency-ratio adaptive component. When price moves efficiently, the adaptive side reacts more. During choppy movement, the baseline becomes slower and more stable. 2. Volatility Score ATR is compared against its own moving average and standard deviation. The result is normalized into a 0-100 volatility score so the dashboard can distinguish low, moderate, and high volatility states. 3. Institutional Channels Helios draws a channel around a mean using ATR-based distances. Inner channels describe normal volatility, while outer pockets mark more extended price areas where reversion or continuation context may matter. 4. Squeeze and Expansion State The squeeze model compares a Bollinger-style width against a Keltner-style width. When compression releases, the chart highlights a transition from low-energy conditions into expansion. 5. Retest Zones and Rails Confirmed retests can create projected zones. Right-side rails label important live references such as baseline, VWAP, channels, premium/discount levels, and previous day levels. Features Adaptive baseline: Blends trend-following and efficiency-aware smoothing Volatility score: Converts ATR expansion/compression into a dashboard value Trend cloud: Fills the space between baseline and VWAP VWAP sigma bands: Shows price stretch around VWAP Premium/discount map: Uses a rolling anchor range with equilibrium, discount, and premium levels Squeeze detection: Highlights compression and release states Retest zones: Projects confirmed bullish and bearish retest areas Right-side rails: Labels baseline, VWAP, channels, premium/discount, and day levels Theme presets: Includes Helios, Consensus Aqua, Sentinel Neon, and Cobalt Risk color families Top-right dashboard: Shows regime, bias, volatility, squeeze, channel, VWAP sigma, price state, and key levels Input Parameters Core Engine: Adaptive Baseline Length Efficiency Lookback ATR Length ADX / DMI Length Volatility Window Volatility System: Channel Memory Base Channel ATR Multiple Outer Channel ATR Multiple Squeeze Length Squeeze BB and KC multipliers Display: Show Trend Cloud Show VWAP Sigma Bands Show Retest Zones Show Right-Side Level Rails Theme Preset Dashboard Text Size How to Use This Indicator Step 1: Read the regime The dashboard classifies the current state as bullish, bearish, expansion, or range. Step 2: Check volatility Use the volatility score and squeeze row to decide whether the market is compressed or expanding. Step 3: Compare price to VWAP and channels VWAP sigma and ATR channels show whether price is near value, stretched, or reverting from an outer area. Step 4: Use retest zones as context Retest zones mark recent confirmed reactions. They are contextual levels, not automatic entries. Indicator Limitations Adaptive baselines can lag during sudden reversals Squeeze release does not define direction by itself Retest zones can fail in strong momentum conditions Higher volatility symbols may require adjusted ATR/channel settings Originality Statement Helios Volatility Atlas combines adaptive trend state, DMI/ADX confirmation, ATR volatility scoring, VWAP sigma distance, squeeze detection, premium/discount location, projected retest zones, and right-edge rails into a single open-source Pine v6 regime atlas. The components are designed to work as one context engine, not as a loose mashup. Disclaimer This script is for educational and informational use only. It is not financial advice and does not predict future price direction. Use independent analysis and risk management. -Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Aurelian Consensus Bands [JOAT]Aurelian Consensus Bands Introduction Aurelian Consensus Bands is an open-source price consensus map built around a log-volume profile, dynamic consensus bands, VWAP context, and confirmed-bar signal logic. It is designed to answer a specific question: where is price trading relative to the market's recent volume-weighted agreement zone, and is that move supported by session pressure? The script plots VPOC, consensus area, boundary bands, session VWAP deviation shells, a dynamic volume node, right-side price rails, managed signal boxes, candle coloring, and a compact top-right dashboard. Its goal is not to predict the future. It provides a structured chart layer for reading acceptance, rejection, and directional pressure around consensus levels. Core Concepts 1. Log-Volume Consensus Profile The script builds a rolling profile on a logarithmic price canvas. Recent bars contribute volume across high-low rows, with recency weighting applied before the profile is converted into levels. This reduces sensitivity to one-off spikes while preserving important volume clusters. // Conceptual summary // volume is distributed across log-price rows // rows are then analyzed for VPOC, mean, and stdev bands 2. VPOC, CA, and Boundary Band The engine extracts a volume point of control, consensus area high/low, and wider boundary bands. The midpoint of the consensus area and the VPOC can be blended into the active anchor. Price displacement from that anchor is normalized so the indicator can classify whether price is inside, above, or below the agreement zone. 3. Dual-Anchor Coherence Aurelian compares the VPOC view and consensus-area midpoint view. Signals are only stronger when both views agree. If the two anchors conflict, the coherence score falls and the dashboard shows weaker context. 4. VWAP and Session Pressure The script adds session VWAP, VWAP deviation shells, synthetic delta pressure, and a dynamic volume node. Qualified signals require more than a simple cross; they also consider whether VWAP and pressure agree with the band event. 5. Right-Side Price Rails and Signal Box The current VPOC, anchor, consensus levels, VWAP, and dynamic node are projected to the right edge with price labels. Qualified signals can also create a managed visual box with entry, stop, T1, and T2 levels based on ATR and planned R multiples. Features Rolling log-volume profile: Builds VPOC, consensus area, and boundary bands from recent price-volume structure Dual-anchor coherence filter: Compares VPOC and consensus midpoint before qualifying signals VWAP deviation shells: Adds session VWAP context and upper/lower deviation bands Dynamic volume node: Tracks a lighter-weight volume anchor for current conditions Candle color blending: Colors bars using consensus direction and institutional context strength Qualified signal markers: Uses clean dots/squares rather than arrows or retail-style markers Managed signal box: Projects entry, stop, T1, and T2 for visual planning only Right-side rails: Labels VPOC, anchor, CA high/low, VWAP, and node prices at the chart edge Top-right dashboard: Shows mode, bias, coherence, score, VWAP state, delta, node, quality, and state Confirmed-bar logic: Main signal events are gated on confirmed bars Input Parameters Profile Core: Profile Rows controls profile resolution Profile Lookback controls how much recent history is used Recency Weight Span controls how quickly old bars lose influence Profile Smooth controls smoothing on extracted levels Context and Rails: Show Session VWAP and VWAP Deviation Shells Show Dynamic Volume Node Show Right-Side Price Rails Show Managed Signal Box Signal Stop ATR Mult and Target R settings How to Use This Indicator Step 1: Read the anchor Use the VPOC and consensus anchor to understand where the market's recent agreement zone sits. Step 2: Check coherence Higher coherence means the VPOC and consensus midpoint agree. Lower coherence suggests mixed structure. Step 3: Watch VWAP and node context Signals carry more context when price, VWAP, delta, and the dynamic node point in the same direction. Step 4: Use right-side rails The rails provide forward reference levels for continuation, rejection, or mean reversion planning. Indicator Limitations The profile depends on the selected lookback and row resolution Signals are contextual, not standalone trade recommendations Very low volume symbols may produce less reliable profile and delta readings Confirmed-bar logic means signals appear after the bar closes, not before Originality Statement Aurelian combines a rolling log-volume consensus profile, dual-anchor coherence, session VWAP deviation context, synthetic pressure, dynamic node tracking, right-edge rails, and managed visual signal boxes in one open-source Pine v6 tool. The purpose is not to merge unrelated indicators, but to create a single acceptance/rejection framework around volume agreement and session context. Disclaimer This script is for educational and informational use only. It is not financial advice and does not ensure any trading outcome. Market behavior is uncertain, and all signals should be evaluated with risk management and independent judgment. -Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Aurelian Auction Ledger [JOAT]Aurelian Auction Ledger Introduction Aurelian Auction Ledger is an open-source range and auction analysis overlay designed to identify compressive trade zones, map their internal value structure, and show how price behaves when it tests the edges of that ledger. The script builds a live range shell, calculates a point of control and value area, tracks sweep events, and presents the active auction state in a top-right dashboard. The problem Aurelian solves is hidden range structure. Consolidation zones are often treated as simple rectangles, but not all ranges are equal. Some are balanced, some lean toward accumulation, some toward rejection, and many fail through one-sided sweeps before resolving. Aurelian turns that internal auction structure into something visible. Core Concepts 1. Compression-based ledger build The script measures whether recent bars are tight enough in ATR terms, efficient enough in body structure, and balanced enough in directional pressure to qualify as a live auction ledger. 2. Range shell and internal value area When a ledger is active, the script draws: The outer ledger shell The internal value area The point of control This separates broad range boundaries from the price zone where most business is actually being done. 3. Right-side auction profile Volume is accumulated across profile rows inside the active ledger so the script can identify the highest-volume row and estimate the value area around it. 4. Sweep tracking Upper and lower sweep events are tracked only on confirmed bars. This helps distinguish clean acceptance from failed range probes. 5. Ledger tilt The indicator maintains a directional tilt metric so the range shell is not displayed as neutral by default. If the auction begins leaning toward acceptance or rejection, the color balance reflects that change. Features Compression-driven range detection: Searches for structured auction zones rather than generic boxes Live range shell: Displays the active ledger high, low, and midpoint Point of control and value area: Maps where the auction is most concentrated Right-side profile: Extends the auction structure visually beyond the current bar Sweep detection: Tracks confirmed probes beyond the ledger edges Auction tilt readout: Shows whether the range is leaning toward acceptance or rejection Top-right dashboard: Reports mode, compression, width, POC, value area, sweeps, and tilt Non-repainting event logic: Sweep and breakout conditions are confirmed on bar close Input Parameters Ledger Core: ATR Length Ledger Build Bars Compression Ceiling Body Efficiency Ceiling Directional Balance Ceiling Breakout Buffer Auction Profile: Profile Rows Profile Width Value Area Coverage Visuals: Show Range Shell Show Right-Side Profile Show Sweep Marks Tint Auction Bars Show Dashboard How to Use This Indicator Step 1: Confirm that a ledger is live Check the dashboard mode first. If the ledger is not active, the script is still scanning for a qualified auction structure. Step 2: Watch the POC and value area These levels show where the auction is concentrated and whether price is rotating inside value or challenging the edges. Step 3: Track sweeps versus acceptance Confirmed sweep events can mark failed probes. If price repeatedly sweeps one side and returns, the ledger is revealing where excess is being rejected. Step 4: Use tilt as context, not prediction Ledger tilt helps interpret which side has more pressure, but the actual resolution still depends on whether price ultimately accepts outside the shell. Indicator Limitations The script is designed for structured ranges and will naturally stand down during broad directional moves Volume distribution inside a candle is approximated using row allocation rather than true intrabar order flow A qualified ledger can still break without first producing a sweep event Originality Statement Aurelian Auction Ledger is original in how it combines a compression-qualified range state, an internal profile-derived value area, sweep tracking, and directional tilt into a single clean overlay. It is published because: The script distinguishes a structured auction ledger from a generic consolidation rectangle It combines shell, POC, value area, and sweep tracking in one coherent range workflow The tilt metric provides additional auction context without cluttering the chart with heavy labels Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee future market behavior. Range structures can fail abruptly, and volume-based value estimates are still interpretations of historical trading activity. Always use independent judgment and proper risk management.
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Opening Auction Ledger [JOAT]Opening Auction Ledger Introduction Opening Auction Ledger is an open-source session framework built to standardize how the opening range is measured, locked, evaluated, and managed throughout the day. The indicator is designed around a simple institutional question: Once the opening auction is complete, is price accepting away from it or failing back into it? The script answers that by combining: session-specific opening range capture high-low or body-based range construction breakout qualification relative volume confirmation objective extension ladders session profile rendering adaptive continuation trail management historical breakout tracking in a dashboard This makes the opening range usable as more than a static box. It becomes a complete session ledger. Core Concepts 1. Opening Range Capture The script builds the opening range only during the specified session window and then locks that range when the session ends. This preserves a fixed reference for the rest of the day. 2. Source Flexibility Users can define the opening range using raw highs and lows or candle bodies. This changes how strict the opening auction frame is and can make the indicator more stable on noisy instruments. 3. Qualified Breakout Detection Breaks are not accepted simply because price crosses a range boundary. The script can require a minimum displacement beyond the range and, optionally, a relative-volume lift compared with recent activity. 4. Objective Laddering Once a breakout is confirmed, the script projects three extension objectives above and below the opening range using multiples of the locked range size. 5. Continuation Management An adaptive ATR trail follows the accepted breakout so continuation quality can be monitored after the initial move is underway. Features Configurable opening session: user-defined session window and timezone Opening range lock: session range freezes after the auction ends Body or high-low source mode: choose the structure used to build the range Relative-volume breakout filter: optional confirmation prevents weaker breaks from being counted Minimum displacement filter: breakout must exceed a configurable fraction of the locked range Extension ladder: three upside and three downside objectives Session profile: profile-style rendering of activity inside the opening auction Continuation trail: adaptive ATR trail tracks accepted move quality Historical outcome counters: dashboard tracks breakout counts and objective hit rates Institutional dashboard: top-right summary of session state, range size, direction, and objective performance Input Parameters Opening Auction Opening Range Session Session Days Timezone Range Source Minimum Break % Of Range Require Relative Volume Lift Relative Volume Threshold Extension Ladder Show Extension Ladder Objective One Objective Two Objective Three Show Price Labels Auction Profile Show Session Profile Profile Rows Profile Width Bars Profile Offset Bars Continuation Management Show Adaptive Continuation Trail Trail ATR Length Trail ATR Multiplier Display Range Fill Transparency Shade Session State Dashboard Position Dashboard Size How to Use This Indicator Step 1: Wait for the Range to Lock Do not treat the opening range as final until the configured auction window is complete. Before that point, the frame is still forming. Step 2: Measure the Quality of the First Break The first breakout matters most when it clears the minimum displacement rule and is supported by the configured relative-volume threshold. Step 3: Use the Ladder as an Objective Map The projected targets are not predictions. They are structured expansion references derived from the opening range itself. Step 4: Follow the Trail for Acceptance The continuation trail helps determine whether price is still accepting away from the opening auction or beginning to fail back toward it. Step 5: Review the Dashboard Statistics The dashboard can help users understand how often objective ladders are being reached under the current settings and instrument behavior. Indicator Limitations The usefulness of the opening range depends heavily on the selected session and market traded Relative-volume logic is chart-volume based and depends on the instrument's available volume series Very narrow opening ranges can create closely spaced objectives in low-volatility sessions A qualified breakout can still fail quickly in event-driven or thin-liquidity conditions Originality Statement Opening Auction Ledger extends the classic opening-range idea into a broader session framework by combining range locking, breakout qualification, objective ladders, profile context, continuation management, and outcome tracking in a single open-source script. Disclaimer This indicator is provided for educational and informational purposes only. It is not investment advice and does not guarantee that any breakout or target sequence will succeed. All calculations are based on historical chart data and should be interpreted with appropriate risk management and independent analysis.
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Crown Structure Ledger [JOAT]Crown Structure Ledger Introduction Crown Structure Ledger is an open-source market structure ledger built to classify price through three structural horizons at the same time: short-term, intermediate-term, and primary-term. Instead of reducing structure to a single swing model, this script maintains separate rails for each horizon so users can see where local repricing, intermediate repricing, and larger campaign structure are currently positioned. The indicator is designed to solve a common chart-reading problem: Traders often know price is moving, but they do not know whether the move is merely a short-term impulse inside a larger range, an intermediate continuation, or a genuine primary expansion. Crown Structure Ledger addresses that by combining: confirmed pivot structure active break state tracking adaptive ATR corridors EMA trend context volume-pressure bias scoring state-based candle coloring forward structure projection a top-right institutional dashboard The output is intentionally visual but restrained. Instead of cluttering the chart with excessive markers, the script emphasizes live structural rails, shaded corridors, confirmed state transitions, and a dashboard that summarizes the current condition of each structural layer. Core Concepts 1. Three-Horizon Structure Mapping The script confirms three separate pivot systems using different left/right lengths. This creates a short-term layer for local impulse, an intermediate layer for swing control, and a primary layer for broader directional structure. Each confirmed pivot updates its own active rail instead of overwriting the other layers. 2. Confirmed Break Logic Break states are only recognized on confirmed bars. This means the script does not react to intrabar spikes through a level. A structural state changes only when price closes through a live rail beyond a small corridor allowance. 3. Adaptive Structure Corridors Every rail is wrapped in an ATR-based corridor. When adaptive depth is enabled, the corridor expands or contracts according to volatility conditions so the structure model stays usable across slow and fast environments. 4. Pressure-Weighted Bias The indicator includes a directional pressure score based on up-volume versus down-volume across a configurable window. That pressure score is combined with EMA orientation and structure state to create a bias color system rather than a binary trend flag. 5. Forward Projection Current structural rails can be extended forward so the user can see where the next important structural interaction is likely to occur without manually drawing continuation levels. Features Three structure horizons: short, intermediate, and primary rails tracked independently Adaptive structure corridors: live ATR-based zones around active rails Confirmed structural transitions: break states only update on confirmed bars Break labels: optional state labels appear when a new structural expansion or compression is confirmed EMA trend filter: fast and slow EMA alignment supports the structure interpretation Volume-pressure bias model: directional pressure is estimated from relative up-volume and down-volume Bias cloud: optional background cloud reflects broader directional control Candle coloring: bars can be colored from bearish to bullish using a gradient-like bias response Forward corridor projection: active rails can extend to the right edge of the chart Institutional dashboard: top-right summary of structure state, bias, pressure, and live rail context Input Parameters Structure Engine Short Pivot Length Intermediate Pivot Length Primary Pivot Length Structure Corridor ATR Adaptive Corridor Depth ATR Length Bias Filter Fast EMA Slow EMA Pressure Window Color Candles Show Structure Cloud Show Structure Rails Show Break Labels Visual System Show Short Term Show Intermediate Term Show Primary Term Show Forward Corridor Forward Corridor Bars Dashboard Position Dashboard Size How to Use This Indicator Step 1: Read the Three States Separately Start by checking whether short-term, intermediate-term, and primary-term structure agree. When all three align, the chart is in a cleaner directional condition. When they diverge, the market is often transitioning or rotating. Step 2: Watch the Active Rails The live rails mark the current structural boundaries that still matter. These are the levels price must reclaim or lose to produce a confirmed structural update. Step 3: Use the Corridors, Not Just the Line The corridor around a rail is intentional. It helps avoid overreacting to shallow level breaches in noisy conditions. Step 4: Read the Bias Cloud and Candle Tone Together If candle color, pressure bias, and the structure cloud all point in the same direction, the chart context is stronger than a single rail break by itself. Step 5: Use the Dashboard as a Summary, Not a Shortcut The dashboard is there to reduce scanning time. It is best used as a summary of what the rails are already showing visually. Indicator Limitations Pivot-based structure confirms after the configured right-side bars complete, so signals are intentionally delayed for non-repainting behavior Very aggressive settings can make the short-term layer overly sensitive on low-quality markets In prolonged compression, structure may appear stable while directional follow-through remains weak The indicator explains current structure; it does not guarantee continuation after a break Originality Statement Crown Structure Ledger is built around a layered structure ledger rather than a single swing map. Its distinguishing value comes from maintaining three live structure horizons with adaptive corridors, pressure-aware bias scoring, forward projection, and a dashboard that keeps the chart readable while still exposing the full state of the engine. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and should not be treated as a recommendation to buy or sell any financial instrument. All structural readings are derived from historical price and volume data and can fail in abnormal market conditions. Always use independent judgment and risk management.
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Vesper Divergence Cascade [JOAT]Vesper Divergence Cascade Introduction Vesper Divergence Cascade is an open-source divergence and response-structure overlay built around RSI pivots and a smoothed T3 ribbon. It detects regular and hidden bullish or bearish divergence, then maps the likely response area with projected zones, corridors, and target guides directly on the chart. The problem this script solves is incomplete divergence analysis. Many divergence tools draw a line and stop there. That leaves the user without context about whether the move is aligned with local structure, whether the divergence developed in an overbought or oversold condition, and where price might respond if the divergence matters. Vesper Divergence Cascade adds that missing structure. Core Concepts 1. Pivot-Based Divergence Detection Confirmed price pivots are stored alongside the RSI value that existed at the pivot bar. This allows the script to compare current and prior pivot pairs without relying on unstable future references. Regular and hidden divergence types are evaluated independently on both highs and lows. 2. Ribbon Context Filter The T3 ribbon acts as a directional and location filter. Divergence can optionally require price to be extended beyond the ribbon in the direction of the stretch before the event is accepted. 3. Response Zones And Corridors When a divergence confirms, the script can project a response zone, midpoint line, reaction corridor, and target line forward from the pivot area. This turns divergence from a simple signal marker into a structured response map. 4. Signal Quality Context The script uses RSI delta, ATR-normalized price displacement, cooldown logic, and optional overbought or oversold context to grade whether a divergence is meaningful enough to display. Features Regular bullish and bearish divergence: Reversal-oriented pivot disagreement Hidden bullish and bearish divergence: Continuation-oriented pivot disagreement T3 ribbon filter: Smoothed directional context layer Reaction envelopes: Premium and discount response bands around ribbon center Response zones: Forward areas projected from the active divergence Reaction corridors: Larger projected path zones for follow-through context Target lines: Simple objective guides derived from ATR structure Signal labels: On-chart labels with response type and quality readout Pivot dots and reset markers: Optional event markers for visibility Dashboard: Displays RSI, zone state, ribbon state, cooldown, and active signal Confirmed pivots only: Divergence prints only after pivot confirmation Input Parameters RSI Core And Divergence: RSI source and length Overbought and oversold levels Pivot length and divergence window Regular and hidden divergence toggles Quality And Display: Signal cooldown Minimum RSI delta Minimum ATR move Extreme-condition requirement Ribbon-filter requirement Ribbon, pivot dots, dashboard, response zone, signal label, and reaction corridor toggles How to Use This Indicator Step 1: Identify whether the latest signal is regular or hidden, because they imply different response behavior. Step 2: Check whether the signal formed in overbought or oversold context and whether the ribbon was supportive. Step 3: Use the response zone and corridor as a framework for how price may react rather than as a guaranteed destination. Step 4: Use reset markers to track whether momentum is rebalancing after the divergence. Step 5: Prefer divergence that forms after visible extension, not in flat neutral conditions. Indicator Limitations Pivot confirmation introduces intentional delay because divergence is only known after the pivot is confirmed Divergence can persist or fail completely during strong trends Hidden divergence is continuation-oriented and should not be interpreted the same way as regular divergence Projected zones and targets are analytical guides, not forecasts Originality Statement Vesper Divergence Cascade is original in how it combines pivot-stored RSI divergence, a T3 ribbon context filter, response envelopes, projected zones, and reaction corridors inside one divergence workflow. The script is designed to explain what kind of divergence formed, where it formed, and how price may structurally respond afterward. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Divergence is a contextual tool and can fail repeatedly during persistent trends, so all use should include independent analysis and risk management. -Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Trend Bias Oscillator**Trend Bias Oscillator (TBO)** --- The Trend Bias Oscillator tracks where price sits within its current trend — not just whether it's bullish or bearish, but *how far along* it is within that move. It normalizes that position to a clean ±100 scale, so readings are consistent across any instrument or timeframe. When the market is in a bullish structure, the oscillator rises toward +100 as price pushes toward the top of the established range, and pulls back toward zero on retracements. When structure is bearish, it falls toward -100 as price drops, and recovers toward zero on bounces. If price breaks beyond the known range entirely, the oscillator pins at ±100 — a sign of extension. Structure shifts when price closes decisively above a prior swing high (bullish flip) or below a prior swing low (bearish flip). Once flipped, the bias holds until the opposite level is broken — so the oscillator stays on one side of zero for the entire duration of a trend, not just the bar the signal fired on. The optional signal line smooths the raw oscillator, making it easier to spot when momentum is building or fading within the current bias. A widening gap between the histogram and signal line suggests continuation. Compression back toward the line suggests a pause or potential reversal ahead. --- **What makes TBO different** Most oscillators measure momentum or price position in isolation — they have no awareness of whether the market is in a defined trend or not. RSI, Stochastic, and similar tools will oscillate freely regardless of structure, which means a reading of 70 looks the same in a strong uptrend as it does in the middle of a range. TBO is different because the oscillator only activates and measures depth *after* a confirmed structural break. Until price breaks a prior swing high or low with a closed bar, the oscillator stays at zero — explicitly signaling that no defined bias exists. Once a break is confirmed, TBO then continuously measures how deep price has traveled into that trend, using the opposing swing level as its reference point rather than an arbitrary lookback window or moving average. This means TBO doesn't just tell you which direction the market is leaning — it tells you *how committed* it is to that direction at any given moment. A reading compressing back toward zero during an uptrend is a retracement warning. A reading pushing toward +100 is trend continuation. The context is structural, not statistical. There are indicators on TradingView that normalize price within a range, and others that detect market structure breaks. TBO combines both into a single, continuously updated reading — making it a genuinely different tool rather than a variation on existing oscillator formulas. --- **Inputs** **Bars Left** *(default: 20)* How many bars to the left define a swing point. Higher values find bigger, more meaningful swings. Lower values are more sensitive and react faster. **Bars Right** *(default: 5)* How many bars to the right are needed before a swing is confirmed. Lower values confirm faster but can be noisier. This setting also controls how much lag the indicator has — a value of 5 means pivots confirm 5 bars after they form. **Non-Repaint Mode** *(default: on)* Ensures structure bias can only flip on a fully closed bar — a signal triggered intrabar will never fire and then disappear before the candle closes. The oscillator value itself will still update in real time as price moves within the current bar, which is normal and expected. What non-repaint protects is the structural flip — that moment when bias switches from bullish to bearish or vice versa. Turning this off allows real-time bias changes but signals may repaint on unclosed candles. **Show Signal Line** *(default: on)* Toggles the smoothed line over the histogram on or off. **Signal Type** *(default: EMA)* The smoothing method used for the signal line. EMA reacts fastest, SMA is straightforward, WMA weights recent bars more heavily, and RMA (Wilder's) is the smoothest and slowest. Personal preference — try EMA or RMA first. **Signal Length** *(default: 5)* How many bars the signal line looks back over. Shorter values follow the oscillator closely. Longer values produce a smoother line that only moves on sustained shifts. **Signal Color** *(default: blue)* The color of the signal line, adjustable via the color picker. **Signal Line Width** *(default: 1)* The thickness of the signal line. Ranges from 1 to 4. --- **Reference Lines** | Level | What it means | |---|---| | +100 | Price fully extended in bullish structure | | +50 | Price in the upper half of the bullish range | | 0 | No bias established, or structural midpoint | | -50 | Price in the lower half of the bearish range | | -100 | Price fully extended in bearish structure | --- **A few things worth knowing** Swing pivots confirm with a small natural delay — this is intentional and keeps the indicator from repainting. On very choppy or ranging markets, structure will flip frequently and the oscillator will hover near zero. This is the indicator working as designed, not a malfunction — it simply means no clean trend structure exists at that time. Stepping up to a higher timeframe usually clarifies the picture. The oscillator value moving on the live bar is normal behavior and not repainting. Non-Repaint Mode specifically prevents structure bias from flipping until a bar fully closes, ensuring signals are never triggered and then taken back within the same candle.
אינדיקטור Pine Script®
מאת ‎tgregg75‎
Noctis Parallel Geometry [JOAT]Noctis Parallel Geometry Introduction Noctis Parallel Geometry is an open-source channel-construction and ratio-lattice overlay designed to organize price into ascending or descending parallel structures built from confirmed pivots. It maps primary boundaries, internal levels, stretch lines, and dynamic tracking projections so the user can see where price is moving inside a broader geometric framework. The problem this script solves is inconsistent channel drawing. Manually drawn channels vary from user to user, and many automatic channel tools do not show how the geometry was constructed or how price is behaving inside it after the channel is established. Noctis Parallel Geometry turns confirmed pivot relationships into a persistent structure with historical roll-forward behavior. Core Concepts 1. Pivot-Driven Channel Construction Ascending geometry is built from two confirmed pivot lows plus the opposing pivot high that defines channel height. Descending geometry is built from two confirmed pivot highs plus the opposing pivot low. This creates a parallel structure rather than a freehand trendline. 2. Ratio Lattice Once the main channel is built, the script can add internal reference levels and stretch levels. These help the user see whether price is rotating around the midline, respecting inner rails, or pushing into extended geometry. 3. Historical Channel Preservation When a new active geometry forms, the previous one can be rolled into history instead of being deleted. Historical channels are shifted and preserved so the user can study how prior geometry resolved. 4. Dynamic Projection Tracking The script can project a live tracking geometry from the most recent active pivot anchor and evolving extreme. This provides a developing path while the full next confirmed channel is still incomplete. Features Ascending and descending channel construction: Built from confirmed pivot relationships Primary channel rails: Base and top boundaries Inner ratio levels: Optional internal guidance lines Stretch levels: Optional extension rails beyond the main channel Historical geometry retention: Previous channels can remain on-chart Dynamic tracking projection: Live provisional geometry based on current extremes Pivot tags: Optional pivot markers for transparency Dashboard: Displays active geometry mode and structural information Input Parameters Channel Engine: Pivot Length Extend Active Geometry Show Historical Geometry Historical Channel Count Show Dynamic Projection Ratio Lattice And Display: Inner-level toggle Stretch-level toggle Historical projection offset Pivot-tag and dashboard toggles How to Use This Indicator Step 1: Identify whether the active geometry is ascending or descending. Step 2: Use the midline and inner rails to gauge whether price is rotating cleanly or losing internal balance. Step 3: Use stretch levels as warning areas where price is pushing beyond normal channel behavior. Step 4: Compare active geometry with preserved historical geometry to see whether the market is reusing or abandoning prior pathing. Step 5: Treat dynamic tracking as provisional context until a fully confirmed new channel is formed. Indicator Limitations Channels only update after pivot confirmation, so geometry changes are intentionally delayed to avoid repainting Fast regime changes can invalidate a channel before price spends much time respecting it Dynamic tracking lines are exploratory guidance, not confirmed structure This indicator describes geometry; it does not by itself determine direction or trade quality Originality Statement Noctis Parallel Geometry is original in how it turns confirmed pivot relationships into a parallel-channel engine with internal lattice levels, stretch rails, historical roll-forward geometry, and live tracking projection. These parts work together to create a coherent geometric framework rather than a simple trendline overlay. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Channel geometry can fail abruptly in volatile or event-driven conditions, so all analysis should be paired with appropriate risk controls. -Made with passion by jackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
Concord Execution Mandate [JOAT]Concord Execution Mandate Introduction Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger. The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls. Core Concepts 1. Regime And Context Layer The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution. 2. Structural And Rotation Triggers Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA. 3. Soft Alignment Model Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting. 4. Risk Management Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially. Features Adaptive regime filter: Core state engine for directional context Higher-timeframe bias: Optional EMA-based external direction filter Structure triggers: Confirmed BOS logic using stored pivots Continuation and rotation entries: Additional execution paths beyond BOS Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring Reversion reclaim logic: Optional re-entry through a mean basis before entry Divergence safety filter: Optional block on fresh opposing divergence ATR and structure-based stops: Dynamic risk anchoring Reward targets and ATR trailing: Structured exit management Context-flip exits: Early closure when regime or bias reverses Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties Default Strategy Properties Initial capital: 100000 Default order size: 5 percent of equity Commission: 0.02 percent Slippage: 2 ticks Order processing: on bar close Pyramiding: 0 How to Use This Strategy Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed. Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample. Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested. Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results. Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment. Strategy Limitations This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals More aggressive settings can increase trade count at the cost of lower selectivity Higher-timeframe bias can conflict with local execution context during turning points Backtest results depend on symbol, timeframe, session behavior, and execution assumptions This strategy is designed to be realistic, not optimized for one narrow market condition Originality Statement Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management. -Made with passion by jackofalltrades
אסטרטגיית Pine Script®
מאת ‎officialjackofalltrades‎