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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.
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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.
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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.
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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
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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.
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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
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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
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Confluence S/R Engine MTF Strength Map [MLI]# Confluence S/R Engine — Multi-TF Strength Map A multi-method, multi-timeframe support and resistance zone indicator designed to identify price areas where multiple independent market structure signals overlap. The script combines structural, volumetric, and higher-timeframe reference levels into composite zones and assigns each zone a relative strength score from 0–10 based on confluence factors such as method diversity, timeframe participation, recency, and cluster tightness. This indicator is intended to provide a visual map of potentially relevant market structure areas. It does not generate buy/sell signals or provide trading advice. --- ## Features * Multi-timeframe support and resistance zone mapping * Composite confluence scoring system * Anchored VWAP integration * Anchored Volume Profile POC / VAH / VAL levels * Multi-timeframe pivot structure * Fibonacci VWAP deviation bands * Naked POC tracking * Absorption-style candle detection * Dynamic zone rendering with opacity scaled by score * Snapshot table summarizing current zone state * Optional automatic lookback scaling by chart timeframe --- ## Methods Included ### Tier A * Anchored Volume Profile POC * Naked POCs * Institutional-style anchor candle highs/lows * Absorption-anchor candle H/L/C * Higher-timeframe VP-POCs ### Tier B * Value Area High / Low * Native swing extremes * Anchored VWAP * Fibonacci 0.618 VWAP bands ### Tier C * Multi-timeframe pivot highs/lows ### Tier D * AVWAP ±1σ bands * Fibonacci 0.382 bands * Prior swing references ### Tier E * AVWAP ±2σ bands * Fibonacci 1.0 bands * Higher-timeframe closes --- ## Zone Scoring Each zone is evaluated across multiple dimensions: * Level quality * Method diversity * Timeframe diversity * Recency * Cluster tightness Zones are scored on a 0–10 scale to help visually compare relative confluence strength. --- ## Visual Interpretation * Green zones: support-oriented regions * Red zones: resistance-oriented regions * Yellow-green zones: higher-strength support clusters * Yellow-orange zones: higher-strength resistance clusters Higher-opacity zones represent stronger composite scores. --- ## v2.3 Updates * Added automatic timeframe-based lookback scaling * Added institutional-style snapshot table * Improved rendering and internal optimization routines * Reduced redundant calculations and cleaned rendering flow --- ## Notes This script is designed as a chart-analysis tool and should be used alongside individual risk management and independent market analysis. No indicator can predict future price movement with certainty. --- ## Disclaimer For educational and informational purposes only. This script does not constitute financial advice, investment advice, or a recommendation to trade any financial instrument. Trading involves risk, and users are solely responsible for their own decisions and risk management.
Pine Script® göstergesi
Market_Logic_India tarafından
Asterion Level Weave [JOAT]Asterion Level Weave Introduction Asterion Level Weave is an open-source reference-level and directional-bias overlay built around daily pivots, weekly pivots, a weighted EMA weave, and opening-range structure. Its purpose is to show where price is located relative to higher-order reference levels while also showing whether internal directional pressure is aligned with those levels. The problem this script solves is context stacking. Traders frequently use pivot lattices, moving averages, and opening ranges separately, then mentally combine them. Asterion Level Weave places those components into one framework so the user can evaluate premium versus discount location, directional weave bias, and session structure from a single chart layer. Core Concepts 1. Daily And Weekly Pivot Lattice The script calculates prior-day and prior-week pivot references and extends them forward on the chart. Daily pivot, R1, S1, R2, and S2 create the near-term lattice, while weekly pivot references provide a slower macro anchor. 2. Weighted EMA Weave Instead of averaging EMAs equally, the script weights multiple EMAs by their recent slope magnitude. This gives more influence to the parts of the curve that are moving with stronger directional intent. 3. Equilibrium And Location Model The script derives an equilibrium box around the daily pivot and uses price location relative to that structure to frame premium, discount, and balance. 4. Opening Range Structure An opening-session range is captured and projected forward with a midpoint reference. This adds a session-specific structure layer that can be compared against pivot and weave alignment. Features Daily pivot lattice: D-pivot, R1, S1, R2, and S2 with forward extension Weekly pivot lattice: Weekly pivot references for broader context Daily equilibrium box: Optional box around the central daily balance zone Weighted EMA weave: Multi-EMA directional cloud with weighted centerline Location labeling: Right-edge labels for major active references Opening range projection: Session range and midpoint extension Directional candle tint: Candle state can reflect weave direction Dashboard: Displays location, directional bias, pivot state, and opening structure context Higher-order reference integration: Daily, weekly, session, and EMA structure in one chart layer Input Parameters Reference Levels: Daily and weekly pivot toggles Forward extension controls Equilibrium box toggle Ribbon Engine And Display: EMA weave toggle, centerline toggle, ribbon smoothing, and slope lookback for weighting Opening range session and extension Dashboard, candle-color, and background toggles How to Use This Indicator Step 1: Determine whether price is trading above or below the daily pivot and weekly pivot. Step 2: Use the weave centerline and cloud direction to judge whether internal momentum aligns with that location. Step 3: Treat the equilibrium box as a balance region and the pivot lattice as directional reference. Step 4: Use the opening range and midpoint to see whether the session is accepting above or below initial balance. Step 5: Prefer trades where location, weave bias, and opening-range behavior point in the same direction. Indicator Limitations Pivot references are static for the active session and do not adapt intraday until the next period begins The weighted weave still relies on lagging EMA calculations and will trail abrupt reversals Opening range significance depends on the instrument and session chosen This script is best used as a context framework rather than as a standalone entry trigger Originality Statement Asterion Level Weave is original in how it combines forward pivot lattices, a slope-weighted EMA weave, and opening-range structure into one location-versus-bias framework. Each component answers a different part of the same question: where price is, how it is moving, and how the active session is organizing around reference levels. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Pivot levels, equilibrium zones, and moving-average structure are analytical tools and should not be treated as guaranteed reaction levels. -Made with passion by jackofalltrades
Pine Script® göstergesi
officialjackofalltrades tarafından
Historical Liquidity Proximity Heatmap [LuxAlgo]The Historical Liquidity Proximity Heatmap indicator highlights historical swing levels closest to the current price, using a volumetric heatmap to visualize potential areas of support and resistance. One buy-side and sell-side volume-weighted average is also returned to provide clear breakout indications. 🔶 USAGE This tool is designed to identify where significant liquidity resides by tracking historical pivot points and sorting them based on their proximity to the current price. By focusing on levels nearest to the market, traders can see a real-time "map" of potential structural obstacles or targets. 🔹 Identifying Liquidity Clusters The indicator plots dots representing the nearest historical pivot highs (above price) and pivot lows (below price). When multiple dots are tightly packed together, it indicates a significant liquidity zone where historical price action was concentrated. The color of these dots is determined by the volume recorded at the time the pivot was formed: High-Contrast Colors: Represent pivots formed on high volume, suggesting stronger institutional interest or "heavier" liquidity. Low-Contrast Colors: Represent pivots formed on lower volume, which may represent lighter liquidity zones. 🔹 Level Tests and Sweeps Traders can monitor how price reacts as it approaches the nearest dots. If price touches a dot and immediately rejects, it confirms the historical level as active resistance or support. A "Liquidity sweep" occurs when price moves rapidly through one or more dots, clearing the nearest historical structures before a potential reversal or continuation. 🔹 Breakouts and Volumetric Averages The indicator includes two dashed lines representing the Volume-Weighted Swing Average of the displayed liquidity points. Volume-Weighted Highs: A dotted red line representing the average price of the nearest P pivot highs, weighted by their historical volume. Volume-Weighted Lows: A dotted green line representing the average price of the nearest P pivot lows, weighted by their historical volume. A breakout above or below these Volumetric Averages suggests that the market has cleared the weighted "supply" or "demand" of the immediate vicinity, often leading to increased volatility. 🔶 DETAILS The script maintains a historical buffer of pivots. On every bar, the script filters all stored pivots to identify those currently above the price (highs) and those currently below the price (lows). These filtered levels are then sorted by price distance. The top P closest levels are selected for display. This ensures that the heatmap always focuses on the most relevant price levels regardless of how far the market has moved from older structures. The color themes (Viridis, Magma, etc.) are perceptually uniform, meaning the transition from low-volume colors to high-volume colors is mathematically linear to the human eye, making it easier to gauge relative "liquidity weight" at a glance. 🔶 SETTINGS 🔹 Pivots Pivot Left/Right Length: Determines the sensitivity of the pivot detection. Larger values find more significant structural swings, while smaller values find more frequent, minor levels. Historical Buffer Size: Controls how many historical pivots the script stores in memory. A larger buffer allows the script to track older historical levels. 🔹 Display Number of Points (P): Sets the maximum number of closest levels to display and include in the Volumetric Average calculation. Dot Transparency: Adjusts the visibility of the heatmap dots on the chart. Color Theme: Allows selection between different heatmap palettes (Viridis, Inferno, Magma, Plasma, Cividis, Turbo) to represent volume intensity.
Pine Script® göstergesi
LuxAlgo tarafından
4
Structure Deviation Ledger [JOAT]Structure Deviation Ledger Introduction Structure Deviation Ledger is an open-source structure-tracking overlay designed to monitor how price behaves around a stepped volatility corridor and pivot-derived structure rails. It combines pivot rail continuation, a stateful stepped midpoint, inner and outer ATR corridors, frozen breakout rails, right-edge structural labels, and an optional TP/SL scaffold when confirmed structural displacement occurs. The purpose of the script is to answer a practical question: is price still behaving inside accepted structure, or has it displaced far enough to qualify as a meaningful structural event? By scoring deviation relative to a stepped corridor and confirmed pivot rails, the indicator provides a cleaner framework for continuation and failure analysis than simple moving-average crossovers. Core Concepts 1. Pivot-Derived Structure Rails Confirmed pivot highs and lows are connected into forward rails. These rails act as the nearest structural references for continuation or failure. 2. Stepped ATR Corridor The script maintains a stepped midpoint derived from a smoothed basis and ATR logic. The midpoint only reanchors when price stretches far enough to justify a structural adjustment. 3. Confirmed Structural Breaks A structural break is only promoted when price closes beyond the relevant active rail and also pushes outside the inner corridor. This confirmation rule is designed to reduce weak intrabar noise. 4. Frozen Break Rails When a fresh break is confirmed, the script freezes a breakout rail and a related context box so the chart retains forward reference after the initial event. 5. Execution Scaffold On fresh structural expansion or structural pressure events, the indicator can build an informational TP/SL ladder using ATR-based stop distance and configurable R multiples. Features Pivot structure rails: Forward-projected high and low rails derived from confirmed pivots Stepped structure midpoint: State-aware corridor center that does not update every bar like a normal average Inner and outer ATR corridors: Layered bands for contained vs displaced price behavior Fresh break detection: Confirmed-bar breakout logic for upside and downside structural events Frozen break rails and zones: Persistent post-break context on the chart Right-edge labels: Live labels for midpoint, inner levels, and active rail reference Optional TP/SL ladder: Entry, stop, TP1, TP2, TP3 with risk/reward fill Top-right dashboard: Displays current structural state, deviation, corridor levels, and rail count How to Use This Indicator Step 1: Read whether price is inside the corridor or displacing beyond it. Step 2: Compare price to the active high or low rail. These are the nearest structure references. Step 3: When a fresh confirmed break appears, use the frozen rail and optional ladder as a planning map, not as a guarantee. Step 4: If price returns back through the corridor after a break, treat that as a sign of failed displacement. Indicator Limitations Pivot rails are naturally delayed because pivots require confirmed bars on both sides Stepped corridors intentionally lag during transitions in order to avoid unstable shifting A dense market with many pivots can still generate frequent rail updates The TP/SL ladder is informational only and does not place orders Originality Statement Structure Deviation Ledger is original in the way it merges pivot-derived structural rails, a stepped ATR corridor, frozen breakout context, and execution scaffolding into a single open-source structure overlay. Its goal is to provide a reusable institutional structure map rather than a simplified breakout marker. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Structural breaks and corridor deviations are derived from historical price action and do not guarantee future movement. Always use appropriate risk controls. -Made with passion by jackofalltrades
Pine Script® göstergesi
officialjackofalltrades tarafından
Custom FractalsThis indicator detects custom bullish and bearish fractal formations by identifying confirmed swing highs and swing lows based on user-defined candle structure. A bearish fractal forms when a candle’s high is greater than the surrounding candles, while a bullish fractal forms when a candle’s low is lower than the surrounding candles. Optional RSI confirmation can be applied to filter signals so that bearish fractals only appear in overbought conditions and bullish fractals only appear in oversold conditions. The script can also draw horizontal pivot levels from each confirmed fractal to help visualize potential support and resistance zones. “Bars Before” controls how many candles to the left of the pivot must confirm the fractal structure, while “Bars After” determines how many candles to the right are required before the signal becomes confirmed. Larger settings create stronger but less frequent fractals, while smaller settings react faster and generate more signals. “Non-Repaint Signals” waits for candle close confirmation before plotting signals to reduce repaint behavior during live market conditions. “Draw Horizontal Pivot Lines” displays support and resistance lines extending from confirmed fractals. “Limit to Recent Signals Only” restricts how many historical fractals remain visible on the chart, while “Recent Signal Count” defines the maximum number of stored signals and pivot lines. “Use RSI Confirmation” enables momentum filtering using the Relative Strength Index. “RSI Length” controls the RSI calculation period, “RSI Source” selects the price source used for RSI calculations, and the “RSI Overbought” and “RSI Oversold” levels determine where RSI confirmation is required for bearish and bullish fractals. The pivot line settings allow full customization of the horizontal structure levels. “Pivot Line Length” controls how far the level extends into future candles, while the color, width, and style settings customize the appearance of bullish and bearish pivot zones. This tool is designed for traders who want to identify potential reversal zones, short-term exhaustion points, and key support or resistance levels using price structure and optional momentum confirmation.
Pine Script® göstergesi
tgregg75 tarafından
1
Meridian Regime Overlay [JOAT]JOAT Meridian Regime Overlay Introduction JOAT Meridian Regime Overlay is an open-source market context overlay built to classify whether price is operating in directional expansion, balanced auction, or compression. It is designed as a chart-first regime engine rather than a standalone trigger study. The script combines local baseline alignment, confirmed higher-timeframe bias, pivot structure, opening-range acceptance, realized volatility state, and session VWAP location into one integrated regime map. The problem it solves is context. Many indicators can say whether price is above or below an average. Far fewer explain whether the move is supported by volatility expansion, structural acceptance, value migration, and higher-timeframe alignment. Meridian Regime Overlay focuses on that exact problem. It grades the live auction bar by bar. It also shows what is supporting the grade. That makes it useful as a decision filter before interpreting any lower-level signal source. This script is not trying to predict the future. Its job is to organize the present market condition. It helps answer practical questions: Is the market trending with real conviction? Is price only drifting above a baseline without expansion? Is the market compressing near a likely release point? Is higher-timeframe structure aligned with the current move? Is price accepting away from value or simply rotating around it? Core Concepts 1. Baseline Stack Alignment Fast, slow, and anchor baselines define the local directional stack. Directional strength improves when those baselines align in sequence and their slopes support the move. fastBase = ta.ema(close, fastLen) slowBase = ta.ema(close, slowLen) anchorBase = ta.ema(close, anchorLen) 2. Confirmed Higher-Timeframe Bias Higher-timeframe context is pulled using confirmed values only. This avoids depending on unfinished HTF candles. htfFast = request.security(syminfo.tickerid, biasTf, ta.ema(close , fastLen), lookahead = barmerge.lookahead_on) htfSlow = request.security(syminfo.tickerid, biasTf, ta.ema(close , slowLen), lookahead = barmerge.lookahead_on) htfAnchor = request.security(syminfo.tickerid, biasTf, ta.ema(close , anchorLen), lookahead = barmerge.lookahead_on) 3. Compression and Expansion State The script compares Bollinger width and Keltner position to identify squeeze behavior and release behavior. ADX and realized variance refine the classification. 4. Pivot Structure State Confirmed pivots define recent structural reference points. Breaks through those pivots update the structural state. 5. Session VWAP Context Distance from session VWAP is normalized in ATR units. This helps reveal whether price is auctioning away from value with intent or just rotating around it. 6. Opening-Range Acceptance The opening range is tracked and plotted. Acceptance above or below that range adds useful early-session context. 7. Composite Regime Score Multiple directional variables are folded into a single regime score. The score is a context summary, not a standalone trade signal. 8. Confirmed Event Labels The overlay prints confirmed auction-up, auction-down, and squeeze-release labels directly on the chart. Features Directional regime classification: bullish expansion, bearish expansion, balance, and compression states Baseline cloud system: fast and slow cloud for local trend stack Confirmed HTF alignment: higher-timeframe bias uses confirmed values only Opening-range plotting: high, low, and midpoint are tracked Session VWAP context: value migration is integrated into the read Pivot structure state: recent structural breaks are tracked Compression and release logic: squeeze and expansion state are visualized Bar-state coloring: candles transition with regime intensity Confirmed event labels: auction and expansion markers print on the chart Dashboard: summarizes regime, score, HTF, structure, volatility, and VWAP context Input Parameters Trend Engine: Fast Baseline Slow Baseline Anchor Baseline Adaptive Mean Length Bias Timeframe Slope Lookback Slope Threshold ATR RVOL Impulse Threshold Volatility Engine: ATR Length Compression Length Band Deviation Keltner Length Keltner Multiplier ADX Length ADX Floor Expansion Threshold Realized Variance Length How to Use This Indicator Step 1: Read the regime color, cloud, and dashboard state. Step 2: Check higher-timeframe alignment before trusting directional continuation. Step 3: Compare structure and VWAP position to see whether price is accepting away from value. Step 4: Watch squeeze-release transitions closely because those often precede cleaner directional movement. Step 5: Use the script as a context filter for other tools rather than as a complete trading system. Indicator Limitations Pivot structure confirms after the pivot fully forms, which is intentional non-repainting behavior Higher-timeframe values are confirmed and therefore intentionally delayed Compression can persist longer than expected in slow auction environments Directional classification does not guarantee continuation Originality Statement This publication is original in the way it integrates baseline structure, confirmed higher-timeframe bias, compression state, realized variance, session VWAP, opening-range acceptance, and pivot structure into one unified regime overlay. The components are not combined arbitrarily. They all answer the same core question: what is the current quality of the auction? Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Market regimes can shift quickly. All readings are based on historical and current bar data and do not guarantee future performance. Always use independent analysis and risk management. Best Use Cases Directional trend filtering before using a separate trigger model Session context analysis during London and New York activity Volatility transition analysis when compression begins to release Structure-aware regime filtering for discretionary execution Interpretation Notes The strongest readings usually occur when the local stack, confirmed higher-timeframe stack, VWAP position, and volatility expansion agree. If only one or two of those are aligned, the chart can still move, but the regime read is weaker. Compression should not be treated as a bearish or bullish state by itself. It is a warning that the market is withholding directional commitment. Opening-range acceptance adds value because many directional sessions reveal their intent early. When price cannot hold outside the opening range, the regime should usually be treated more cautiously. Publication Notes This script is intended to be published with a clean chart where the cloud, baselines, opening range, and event labels are clearly visible. The chart should not be cluttered with unrelated overlays. If showing an example image, the regime state and at least one structural transition should be identifiable at a glance. -Made with passion by jackofalltrades
Pine Script® göstergesi
officialjackofalltrades tarafından
Pymander's EZ Key LevelsHey everyone! Pymander here. I’m excited to share EZ Key Levels, a tool I built to solve one of the biggest problems we face as intraday traders: chart clutter. We all know that "levels are king," but when your screen is a spiderweb of Daily, Weekly, and Session lines, it’s easy to get lost in the noise. This indicator is designed to give you total clarity so you can focus on execution. What is EZ Key Levels? At its core, this is a hybrid indicator. It combines High Timeframe (HTF) logic with Machine Learning (K-Means Clustering) to map out the most important psychological and volume-based zones on your chart. How It Works & Why It’s Different: Solid Until Mitigated: This is the real game-changer. Every level starts as a solid line (meaning it's fresh and untested). The moment price "mitigates" it—either by a wick touch or a candle close—the line automatically turns dotted. You’ll never have to guess if a level is still "fresh" again. Volume-Weighted Clustering: Instead of just looking at where price sat, our dynamic clusters use VWAP logic to find where the most volume actually traded. It identifies the true "Value Areas" of the last few days. Premium Proximity & Focus Mode: Most indicators show you everything at once. EZ Key Levels identifies the 4 levels closest to price and highlights them in Rose (Above) and Emerald (Below). Turn on Focus Mode, and every other line disappears, leaving you with a clean, "pro-style" chart that only shows what matters right now. All-In-One Session Logic: It automatically tracks Asia, London, and NY session highs/lows and projects them infinitely so you can see how those ranges act as support or resistance days later. How This Helps You: This tool is built for the 3-5 minute trader who needs to make split-second decisions. By identifying high-confluence zones (where a V-Cluster lines up with a PDH or Session Low) and highlighting them automatically, it removes the "analysis paralysis" that kills so many trades. I’d love to hear your thoughts! If you have any feedback or ideas on how to make this even better for your workflow, please let me know. Wishing you all the best of luck and many, many green days! -Pymander
Pine Script® göstergesi
PYMAND3R tarafından
Auction Structure Ledger [JOAT]Auction Structure Ledger Introduction Auction Structure Ledger is an open-source Pine Script v6 indicator that transforms confirmed pivot behavior into structured auction zones. Instead of treating every swing high and swing low as equally important, the script looks for clustered defended pivots, measures how much volume-confluence exists at those prices, and converts the result into support and resistance shelves that persist, update, and eventually retire as price accepts or fails them. The problem this indicator solves is structural ambiguity. Many charts contain repeated pivot noise that does not deserve equal visual weight. A single swing high does not automatically represent meaningful supply, and a single swing low does not automatically represent meaningful demand. Auction Structure Ledger filters pivot activity through clustering logic and local volume-confluence so the chart emphasizes defended areas where auction acceptance and rejection are more likely to matter. The script is useful for traders who think in terms of accumulation, distribution, acceptance, and failure. It does not attempt to forecast the future from one oscillator reading. It organizes the chart around defended reference zones, tracks how price behaves around them, and summarizes the current auction state in a way that can support discretionary analysis or other rule-based systems. Because it combines pivot clustering with a volume-confluence layer, the indicator is not simply painting boxes around old highs and lows. It is trying to identify where the market repeatedly acknowledged a price region and whether that region still behaves as support or resistance. Core Concepts 1. Pivot Confirmation And Structural Timing The script uses `ta.pivothigh()` and `ta.pivotlow()` to confirm swing highs and lows with a symmetric lookback. This means zones are only created after the pivot is actually confirmed, which avoids the false certainty that comes from drawing structure before the right-side bars exist. float pivotHigh = ta.pivothigh(high, pivotLength, pivotLength) float pivotLow = ta.pivotlow(low, pivotLength, pivotLength) This is deliberate non-repainting behavior. The structure appears later than the original pivot candle, but it appears only after the market has confirmed the swing. 2. Clustered Defense Rather Than Single-Pivot Noise Once a pivot appears, the script scans a configurable cluster window to count how many nearby pivots formed within an ATR-based tolerance. That cluster count becomes part of the zone’s strength score. This is what gives the ledger its auction logic. A zone becomes more meaningful when the market keeps defending the same approximate level rather than printing a one-off pivot and moving on. 3. Volume-Confluence Layer The script builds a rolling volume distribution across the current price window and checks how much of that distribution sits at the pivot price. That reading is normalized into a confluence percentage. In practice, this means a clustered pivot with low local volume-confluence is treated differently from a clustered pivot that sits in a high-activity price region. The first may represent weak structure. The second may represent a more meaningful auction shelf. 4. Support And Resistance Shelf Construction When a pivot passes the cluster criteria, the script creates a zone with ATR-based width. Resistance shelves are built above price with an offered profile. Support shelves are built below price with a bid profile. Each shelf contains a body, a spine line through the midpoint, and an information label summarizing the zone. The shelf width is not arbitrary. It scales with ATR so zones remain proportionate across different volatility conditions and instruments. 5. Acceptance And Failure Tracking After a zone is created, the script continues monitoring it. If price trades within the zone and remains inside it, the shelf is counted as accepted. If price closes through the invalidation side of the shelf, it is counted as failed and eventually removed after a short lifecycle buffer. That behavior matters because the market is not static. A valid shelf today can become irrelevant after repeated acceptance or a decisive failure. Features Cluster-confirmed auction shelves: Builds zones only when pivots cluster within an ATR-based tolerance Support and resistance separation: Maintains bid-side and offered-side structure independently Volume-confluence scoring: Measures how much rolling price-volume concentration supports each shelf ATR-scaled zone width: Keeps shelf geometry adaptive to volatility instead of fixed-width boxes Acceptance and failure tracking: Continues scoring shelves after creation as price interacts with them Confluence ribbon: Displays whether current price is trading in a high-confluence region of the rolling ledger Nearest distance metrics: Shows the ATR distance to the closest active support and resistance shelves Institutional dashboard: Summarizes support count, resistance count, acceptance rate, failure rate, bias, and strongest zone Confirmed-bar alert set: Includes bullish ledger, bearish ledger, fresh support, and fresh resistance alerts Data-window outputs: Exposes structure counts and confluence values for additional interpretation Visual Elements Auction shelves: Each zone is rendered as a structured body rather than a simple line so the user can read width and tolerance clearly Shelf spine: A dotted midpoint line marks the internal balance area of each shelf Confluence ribbon: The ribbon around price shows whether the current location overlaps with strong rolling confluence Responsive color logic: Support, resistance, touched, and failed states each alter the way the shelf is displayed Compact info labels: Each zone carries its own context label so the chart remains interpretable without opening settings Best Practices Give more weight to shelves that combine both repeated pivot defense and strong volume-confluence Watch how price behaves on the first return to a new shelf before assuming the level is strong Treat accepted zones and failed zones differently because they tell very different auction stories Use nearest support and resistance ATR distances to understand whether price is extended or structurally balanced Combine the ledger with your own trigger logic rather than assuming shelf presence alone is a complete trade plan Input Parameters Structure Engine: Pivot Length: Sets how many bars are required on each side of a pivot to confirm it ATR Length: Controls the volatility measure used for zone sizing and tolerance logic Shelf ATR Width: Sets the width of each auction shelf relative to ATR Cluster Window: Defines how far back the script scans for repeated nearby pivots Cluster ATR Tolerance: Determines how close pivots must be to count as the same structural cluster Volume Confluence: Volume Window: Sets the rolling price-volume study range Volume Bins: Controls the granularity of the confluence distribution Confluence Strength Threshold: Defines when the ribbon should represent strong price-volume overlap Show Confluence Ribbon: Toggles the contextual ribbon around price Display: Show Dashboard: Enables the top-right structural summary Color inputs: Allow independent styling for support, resistance, neutral, and panel colors How to Use This Indicator Step 1: Start With The Bias Row The dashboard summarizes whether active support shelves outnumber resistance shelves, whether the market is balanced, and how strong the current ledger looks. This gives immediate context before focusing on individual zones. Step 2: Identify The Strongest Active Shelf Check the strongest zone reading and visually locate the shelf with the most emphasis. This is often the most useful structural reference when price approaches an auction boundary. Step 3: Watch Acceptance Versus Failure Acceptance means price is interacting with the zone without invalidating it. Failure means price has moved through the wrong side of the shelf. A high failure rate weakens the reliability of the current ledger. Step 4: Use The Nearest ATR Distances The dashboard shows the ATR distance to the nearest support and resistance shelves. That helps frame whether price is sitting directly on a structure reference or is trading between meaningful levels. Step 5: Combine With Your Own Execution Model Auction Structure Ledger is most useful as a context layer. It defines where defended structure exists. It does not decide entries or exits for you. Use the zones to frame reactions, continuation decisions, or risk placement inside your own process. Indicator Limitations Pivot-based structure is inherently delayed because the script waits for right-side confirmation before creating a shelf A clustered pivot region can still fail immediately if broader market flow overwhelms the local auction structure Rolling volume-confluence is context-dependent and can shift as the lookback window evolves Zones are analytical references, not guarantees that support or resistance will hold on the next test Originality Statement Auction Structure Ledger is original in the way it turns clustered pivot defense and rolling volume-confluence into a persistent auction map. This is more than a standard support and resistance overlay: It requires repeated pivot behavior before treating a level as meaningful structure It combines cluster count and volume-confluence into a unified strength score for each shelf It tracks acceptance and failure after creation so zones remain part of a living ledger rather than a static drawing layer It presents the structure through a bias dashboard and confluence ribbon that helps translate zone behavior into usable chart context Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Support and resistance shelves represent historical auction behavior, not guaranteed future turning points. Markets can accept, reject, or ignore any level without warning. Always use independent judgment and appropriate risk management. -Made with passion by jackofalltrades
Pine Script® göstergesi
officialjackofalltrades tarafından
Camarilla Pivot Points with Actual Price Data for Heikin AshiNick Stott developed the Camarilla system in 1989 while trading bonds. The name comes from the Latin word for a small, private room — the implication being that these are hidden levels the market naturally gravitates toward. The core insight is that markets are mean-reverting by nature on an intraday basis — price tends to oscillate around a central value during the day (such as VWAP or some other level) rather than trend continuously. The Camarilla levels are designed to identify the precise price points where that mean reversion is most likely to occur, and where it's most likely to fail and become a genuine breakout instead. The formula takes yesterday's high, low, and close and generates four resistance levels above (H1–H4) and four support levels below (L1–L4). The multipliers (0.0916, 0.183, 0.275, 0.55) are derived from Fibonacci ratios, which is what distinguishes Camarilla from classic pivot points that use simpler arithmetic. H3 and L3 — the counter-trend levels. These are the workhorses of the system for day traders. The theory is that on a typical day, price will trade up to H3 or down to L3 and then reverse. You trade against the move at these levels — short at H3, long at L3 — with your stop placed just beyond H4 or L4 respectively. These setups have a high win rate in ranging, non-trending conditions because the market is simply oscillating within its expected daily range. H4 and L4 — the breakout levels. When price breaks convincingly through H4 or L4, the mean-reversion thesis is invalidated. The market is telling you something unusual is happening — there's genuine directional momentum. At that point you flip your approach entirely and trade with the move, going long above H4 or short below L4, targeting H5 (which is H4 + the H4–H3 range) or L5 respectively. These are the high-reward trades but they occur less frequently. H1, H2, L1, L2 — the minor levels. These are weaker and less reliable individually. Experienced Camarilla traders often use them as partial profit targets or as zones to tighten stops rather than as primary entry signals. I prefer using Heikin Ashi candles on my chart -- however they are mathematically derived averages of price, calculated using a specific formula. Heikin Ashi candles do not show real price data. But on a regular candlestick chart it gets the actual market high, low, and close. On a Heikin Ashi chart you get the smoothed, averaged versions of those values -- which are always closer to the midpoint of the day's range and never reflect the true extremes. So I had to add in a tweak to use actual OHLC price data.
Pine Script® göstergesi
SandlotFlanking tarafından
1
CPR Expansion Planner [AGPro Series]CPR Expansion Planner 🧠 Core Idea Is CPR width and price acceptance setting up a structured expansion day, or is price still inside a weak pivot context? 📌 Overview / What it does CPR Expansion Planner is a chart-first Central Pivot Range planning tool built to evaluate whether the current session is developing enough structure for an expansion-day read. The script studies CPR width, the current anchor open, accepted closes beyond CPR, developing range expansion, target room, and the active invalidation shelf. These components are converted into a 0-100 Expansion Score and a clear next-action state. It produces a CPR band, projected expansion room, target rail, invalidation shelf, state labels, alerts, and a clean AGPro planning panel. It does not predict future price movement, automate trades, or guarantee continuation. 🎯 Purpose & Design Philosophy This script was built for traders who already watch CPR but want a more practical planning layer than a static pivot display. Many CPR tools show the Central Pivot Range and leave the user to decide whether the day is balanced, expanding, failing, or already extended. This script fills that gap by translating CPR context into readiness, room, invalidation, and action language. The design supports a planning mindset: identify the CPR base, check whether price is accepting beyond it, measure whether expansion has room, and keep the invalidation shelf visible. ⚡ Why This Script Is Different Most tools focus on plotting CPR lines, daily pivots, or support/resistance reactions. This script does NOT clone a Pivot Points Reaction Map, does not plot a full pivot ladder, and does not treat every pivot touch as a reaction signal. Instead, it focuses on one question: is the CPR context preparing an expansion day with enough acceptance, range development, and target room to deserve attention? ⚙️ Methodology 1. Context Detection The script builds CPR from the selected anchor and reads whether price is working above, below, or inside the CPR structure. 2. Reference Mapping It maps the CPR band, accepted expansion side, invalidation shelf, projected target rail, and active expansion room. 3. Reaction Evaluation The model scores CPR width, open location, accepted closes beyond CPR, current range expansion, and target room. 4. Visual Output The result is shown through CPR zones, state labels, planner rails, deterministic alerts, and a premium AGPro panel. 🗺️ How to Read the Chart Zones = the CPR band shows the active expansion base. The expansion room box shows the distance between the accepted CPR edge and the target rail. Labels = READY, WATCH, ROOM, SHIFT, FOLLOW, and INVALID labels describe the current planning state. Colors = green highlights bullish expansion context, pink highlights bearish expansion context, amber highlights room or follow-through review, indigo highlights watch states, and red highlights invalidation risk. Panel = the panel summarizes CPR Width, Accepted Side, Expansion Score, Invalidation, and Action. 🚦 Signals & States • READY → CPR acceptance, score, room, and confirmation are aligned. • WATCH → price is beyond CPR but still needs cleaner confirmation or score improvement. • ROOM BLOCKED → CPR acceptance exists, but the target rail is too close or already reached. • EXTENDED → price has moved beyond the planned target room and late-chase risk is elevated. • INVALID RISK → price has reached the active invalidation shelf. • SHIFT → the accepted expansion side changed after a previous READY state. 🔔 Alerts Logic Alerts trigger when the script detects a READY CPR expansion state, accepted side shift, invalidation risk, major follow-through, or blocked target room. Alerts are attention markers. They are not trade instructions, automated entries, or exit commands. 🧩 Confluence Logic The strongest context appears when narrow CPR width, a balanced anchor open, accepted closes beyond CPR, range expansion, and clean target room align. When only one or two components are present, the script usually stays in WATCH, ROOM BLOCKED, or WAIT rather than forcing a strong state. 📊 When to Use • Intraday markets where Daily CPR is a visible reference. • Swing contexts where Weekly CPR is more relevant. • Potential expansion days after narrow CPR conditions. • Sessions where price begins accepting clearly beyond the CPR band. • Traders who want risk and target context around CPR instead of only static lines. ⚠️ When NOT to Use • Very low-liquidity symbols with unreliable volume and wide spreads. • Extremely noisy sessions where price repeatedly crosses CPR without acceptance. • News-driven volatility where normal CPR structure can be overwhelmed. • Markets where the selected CPR anchor is not meaningful for the user's timeframe. 🎛️ Key Inputs • CPR Anchor → switches between Daily and Weekly CPR. • Sensitivity → adjusts how quickly the planner recognizes CPR expansion conditions. • Confirmation Mode → controls whether acceptance requires close confirmation, volume support, or stricter alignment. • READY Threshold → sets the minimum Expansion Score for READY states. • Clean Target Room ATR → defines how much space is needed before the target rail is considered clean. • Event Label Cooldown → controls label density and keeps the chart readable. • Panel and Label Font Size → controls visual readability. 🖥️ Interface & Visual Design The interface is chart-first. The CPR band anchors the setup, the expansion room gives directional context, and the invalidation shelf keeps risk visible. The panel is intentionally compact, with one merged blue AGPro title row and five decision rows. The goal is a premium TradingView visual: informative enough to avoid an empty chart, but restrained enough to stay clean. 🧪 Practical Usage Workflow 1. Read the panel and check the Expansion Score. 2. Identify whether price is accepting above or below CPR. 3. Review the expansion room and target rail. 4. Check the invalidation shelf. 5. Interpret READY, WATCH, ROOM, FOLLOW, or INVALID as planning context. 🔍 Interpretation Guidelines Think in terms of structure, not prediction. A narrow CPR can create expansion potential, but it still needs acceptance. Acceptance can be useful only if there is enough target room. A strong score with limited room may be less attractive than a moderate score with cleaner structure. The script helps organize the CPR read; it does not replace broader market context. 🚫 What This Script Is NOT • Not a prediction engine. • Not financial advice. • Not an auto trading system. • Not a guaranteed signal generator. • Not a full pivot ladder or generic support/resistance reaction map. ⚠️ Limitations & Transparency • CPR behavior can vary across assets and sessions. • Timeframe selection changes how the CPR anchor should be interpreted. • High-impact news can distort normal expansion behavior. • Thin liquidity can create false acceptance beyond CPR. • The score is rule-based and should be interpreted within broader market context. 🧠 Market Context Notes CPR can help frame session balance and directional acceptance. A narrow CPR often attracts expansion-day attention, but the useful question is not only whether CPR is narrow. The useful question is whether price accepts away from it with room, structure, and a clear invalidation reference. 🧾 Use Case Examples When price opens near CPR, accepts above the top of the range, and develops range expansion with clean target room, the script may shift toward READY. When price moves beyond CPR but immediately reaches the target rail, the script can mark ROOM BLOCKED or EXTENDED. When price fails back through the opposite CPR edge, the planner can show INVALID RISK. 🧱 System Philosophy AGPro Series tools are designed to turn visible market structure into practical decision context. This script follows that philosophy by converting CPR from a passive reference into a structured expansion planner with score, state, risk, and target logic. 🔐 Non-Promise Statement No guarantees. No certainty. No script can remove market risk or replace user responsibility. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk management, and interpretation of market conditions. This script is for educational and analytical purposes only and does not provide financial advice. 📚 Educational Note Use the script to study how CPR width, acceptance, range expansion, and target room interact over time. The best value comes from reviewing repeated examples across different symbols, sessions, and timeframes.
Pine Script® göstergesi
AGProLabs tarafından
Obsidian Divergence Ledger [JOAT]Obsidian Divergence Ledger Introduction Obsidian Divergence Ledger is an open-source divergence engine built around confirmed pivot logic and a composite oscillator. It tracks regular and hidden divergence, draws ledger lines between the relevant pivot points, and can optionally project those same relationships onto price. The design is meant to make divergence readable as a structured event instead of a vague visual impression. The problem this script solves is that many divergence tools are either too loose or too noisy. They often compare incompatible pivots, ignore volatility context, or signal before the pivot is confirmed. Obsidian avoids that by waiting for confirmed pivot structures, enforcing minimum spread requirements, and optionally filtering signals through baseline context and volatility expansion. Core Concepts 1. Composite Oscillator Construction The script does not depend on one oscillator only. It blends RSI, CMO, and ROC into one composite measure, then normalizes and smooths it. This helps reduce the chance that one indicator-specific quirk dominates the entire divergence decision. 2. Pivot-Confirmed Divergence Logic Divergence is only evaluated after `ta.pivothigh()` and `ta.pivotlow()` confirm the turning points. That means the signal appears later than an unconfirmed visual guess, but it also means the structure is stable and suitable for non-repainting use. pricePivotHigh = ta.pivothigh(high, leftBars, rightBars) pricePivotLow = ta.pivotlow(low, leftBars, rightBars) 3. Regular and Hidden Divergence The script distinguishes between reversal-type divergence and continuation-type divergence: Regular bullish: price makes a lower low while the oscillator makes a higher low Regular bearish: price makes a higher high while the oscillator makes a lower high Hidden bullish: price makes a higher low while the oscillator makes a lower low Hidden bearish: price makes a lower high while the oscillator makes a higher high 4. Ledger Line Visualization and Divergence Zoning Each confirmed event is recorded visually with lines on the oscillator pane. When enabled, price-side lines are also drawn on the main chart using `force_overlay = true`. Regular divergence and hidden divergence use different color families and line styles so reversal and continuation structures are easy to distinguish. Fresh divergence events can also paint oscillator-side pivot zones and price-side context boxes so the compared structure is visible as an area, not just a single line. 5. Context, Freshness, and Impulse Framing The script tracks whether a divergence is still fresh, whether it aligns with baseline context, and whether current volatility supports the signal. A central impulse ribbon and intensity band expand and contract with current state strength so the pane itself carries more information even when the dashboard is kept compact. Features Composite oscillator: RSI, CMO, and ROC blended into one smoother divergence source Confirmed pivots only: No divergence state is confirmed before pivot confirmation Regular and hidden divergence: Reversal and continuation structures handled separately Optional volatility filter: Can require expansion before accepting signals Optional baseline filter: Can require directional context relative to a baseline Oscillator and price ledger lines: Divergence is drawn in both the pane and the price chart when enabled Oscillator pivot zones: Fresh divergence events can stamp colored zones around the compared oscillator pivots Price context boxes: The related price swing area can be boxed directly on the chart for faster structural reading On-chart divergence tags: Compact labels identify regular-vs-hidden bullish and bearish events on the chart itself Impulse ribbon and intensity band: The pane carries fresh-state emphasis through layered fills, not only through text Compact dashboard summary: State, freshness, oscillator bias, and context remain available in a smaller top-right panel Input Parameters Composite Oscillator: RSI Length CMO Length ROC Length Normalization Window Oscillator Smoothing Divergence Engine: Pivot Left Bars and Pivot Right Bars Hidden Divergence toggle Maximum Ledger Lines Quality Filters: Volatility Expansion toggle and length Baseline Context toggle and baseline length Minimum Oscillator Pivot Spread How to Use This Indicator Step 1: Wait for a Confirmed State Use the dashboard's State and Freshness rows first. The script is designed to treat confirmed divergence as the event, not the early suspicion of divergence. Step 2: Separate Reversal From Continuation Regular divergence is generally more useful when looking for exhaustion. Hidden divergence is generally more useful when looking for pullback continuation. The script keeps those two ideas separate on purpose. Step 3: Read Context Before Weighting the Signal A bullish divergence below a weak baseline can still fail. A bearish divergence into expanding volatility can still continue. Use the Context and Volatility rows before deciding how much weight to give the latest signal. Step 4: Use the Zones, Not Only the Lines The oscillator pivot zones and price context boxes are there to show the compared structure as an area. This is useful when a divergence is technically valid but forms in a narrow or low-importance pocket. A wider, cleaner zone often carries more practical significance than a tiny local pivot mismatch. Step 5: Use the Price Overlay Lines as Reference The overlay lines show the exact price pivots involved in the latest comparison. The companion price labels and boxes make it easier to judge whether the divergence formed in an important location or in minor local noise. Indicator Limitations Pivot confirmation creates intentional delay because the script waits for bars on the right side of each pivot Divergence can persist through multiple additional swings before price meaningfully reverses A composite oscillator reduces single-indicator bias but cannot eliminate false positives Hidden divergence is context-dependent and is less useful if the broader trend is weak or unclear Fresh divergence boxes and labels describe the compared structure, but they do not guarantee that the marked zone will react again Originality Statement Obsidian Divergence Ledger is original in the way it structures divergence as a confirmed ledger of relationships rather than a simple shape marker. The script combines a custom composite oscillator, explicit regular-vs-hidden separation, freshness tracking, context filters, synchronized pane-plus-price ledger lines, oscillator pivot zoning, and price-context divergence boxes into one coherent tool. Disclaimer This script is provided for educational and informational purposes only. It is not financial advice. Divergence is a contextual condition, not a guarantee of reversal or continuation. False signals can occur frequently, especially in strong trends and low-liquidity markets. Use independent confirmation and risk management.
Pine Script® göstergesi
officialjackofalltrades tarafından
5
Volumetric Trend Structure [BOSWaves]Volumetric Trend Structure - Pivot-Averaged Drift Detection with Volume-Normalized Band Visualization Overview Volumetric Trend Structure is a pivot-anchored trend identification system that constructs dynamic drift lines from the rolling average of confirmed swing highs and lows, where trend direction, band positioning, and volume histogram behavior are driven by structural pivot accumulation and statistically normalized volume measurement rather than fixed moving average thresholds or arbitrary volatility multiples. Instead of relying on lagged moving average crossovers or static band calculations, trend state and directional reference levels are determined through confirmed pivot detection, multi-pivot averaging for drift line construction, and standard deviation-normalized volume scoring that adapts bar-by-bar to reflect genuine volume significance relative to recent history. This creates a trend framework grounded in actual price structure rather than smoothed price derivatives. Drift lines move only when new confirmed pivots shift the structural average, trend state responds to price crossing structurally-derived boundaries, and the volume histogram mounted directly on the active band provides a continuously updating picture of volume participation intensity and directional character at the exact level that defines the current trend. Price is therefore evaluated against drift boundaries that represent real swing structure rather than indicator-generated levels disconnected from market geometry. Conceptual Framework Volumetric Trend Structure is founded on the principle that robust trend boundaries should be derived from confirmed price structure pivots and their rolling averages, not from smoothed price series that shift continuously regardless of whether meaningful structural events have occurred. Traditional trend-following methods anchor bands and trend references to exponential or simple moving averages that update on every bar and carry no structural significance in isolation. This framework replaces continuous-update logic with pivot-event-driven drift construction, where the upper and lower drift lines only shift when a new confirmed swing high or low is recorded, ensuring the boundaries reflect actual market structure rather than arithmetic price smoothing. Three core principles guide the design: Trend boundaries should emerge from confirmed pivot structure and their averages, providing structurally meaningful levels rather than arbitrary smoothed references. Volume should be measured relative to its own statistical distribution, normalizing significance across instruments and timeframes rather than using raw absolute values. Volume visualization should be anchored to the active structural boundary, directly connecting participation data to the trend level that defines current directional state. This shifts trend analysis from continuous moving average mechanics into event-driven structural drift tracking with volume participation mapped directly onto the defining boundary. Theoretical Foundation The indicator combines confirmed pivot high and low detection, rolling pivot array averaging for drift line construction, standard deviation-normalized volume measurement, and directional volume gradient coloring across three configurable display modes. Pivot highs and lows are confirmed using a configurable left-right bar requirement, ensuring only structurally validated swing points contribute to drift calculation. A rolling array of recent pivots feeds the upper and lower drift lines, with the average shifting only as new pivots register. Volume normalization divides raw volume by its rolling standard deviation, producing a dimensionless score that objectively ranks each bar's participation relative to recent history. Volume histogram bars are then plotted directly on the active drift band, scaled by the normalized score and oriented in the trend direction. Four internal systems operate in tandem: Pivot Detection and Array Management : Identifies confirmed swing highs and lows through the configurable pivot length parameter, maintaining rolling arrays of the most recent qualifying pivots for both upper and lower drift calculations. Drift Line Construction : Averages the contents of each rolling pivot array to produce upper and lower drift lines that update only when new confirmed pivots register, anchoring the trend framework to real structural events. Trend State Logic : Monitors price crossovers and crossunders of the upper and lower drift lines respectively, flipping trend state and reassigning the active band between the upper and lower drift lines based on current direction. Volume Normalization and Histogram Engine : Calculates a standard deviation-based volume score, scales it to the chart's price range, and plots histogram bars on the active drift band with configurable directional coloring and spike detection. This design allows trend structure to reflect genuine pivot-based market geometry while volume participation is measured and visualized with statistical objectivity. How It Works Volumetric Trend Structure evaluates price through a sequence of structure-aware processes: Pivot Confirmation : Swing highs and lows are confirmed when the specified number of bars to the left and right all print lower highs or higher lows respectively, validating structural significance before the pivot is registered. Array Update and Drift Recalculation : Each newly confirmed pivot is appended to its respective rolling array and the oldest entry removed if the array exceeds the configured pivot count, triggering immediate recalculation of the corresponding drift line average. Trend Crossover Evaluation : On each bar, price is tested against both drift lines. A crossover above the upper drift establishes bullish state, and a crossunder below the lower drift establishes bearish state, with the previously opposing drift line becoming the new active band. Active Band Assignment : In a bullish trend, the lower drift line serves as the active structural band providing support reference. In a bearish trend, the upper drift line serves as the active structural band providing resistance reference. Volume Normalization : Each bar's raw volume is divided by its 200-bar rolling standard deviation, producing a normalized score capped at four standard deviations that objectively quantifies participation intensity. Histogram Scaling : The normalized volume score is multiplied by a range-derived step size based on the 200-bar average bar range, producing price-unit histogram heights that scale appropriately to the chart without manual adjustment. Volume Color Assignment : Depending on the selected color mode, histogram bars are colored by buy/sell pressure gradient derived from close position within the bar range (Delta), uniform trend direction (Trend), or trend direction with statistical spike highlighting (Trend + Spikes). Spike Detection : Bars reaching four standard deviations of volume receive spike classification, triggering directional spike markers and overriding base color in applicable color modes. Signal and Visual Output : Trend state transitions generate buy and sell triangle labels. Candles are colored with a volume-intensity gradient that brightens with participation strength. A trend fill extends between the active band and price for directional context. Together, these elements form a continuously updating structural trend map where pivot geometry defines the boundaries and volume participation is measured and displayed with statistical precision directly on those boundaries. Interpretation Volumetric Trend Structure should be interpreted as a pivot-derived structural trend system with volume participation mapped onto the active directional boundary: Bullish Trend State (Green) : Established when price closes above the upper drift line, with the lower drift line becoming the active support band and volume histogram projecting upward from it. Bearish Trend State (Magenta) : Established when price closes below the lower drift line, with the upper drift line becoming the active resistance band and volume histogram projecting downward from it. Drift Lines : Upper and lower structural boundaries derived from rolling averages of recent confirmed pivot highs and lows. These lines only shift when new confirmed pivots register, ensuring structural relevance. Active Band : The drift line currently serving as the primary structural reference. The lower drift in a bullish trend and the upper drift in a bearish trend are displayed with a solid colored line and serve as the histogram anchor. Trend Fill : Gradient fill between the active band and price provides a continuous visual representation of the distance and directional relationship between current price and the structural boundary. Volume Histogram : Normalized volume bars extending from the active drift band reflect statistically scaled participation intensity on each bar, oriented upward in a bull trend and downward in a bear trend. Delta Color Mode : Histogram bars colored by close-position gradient within the bar range, revealing whether volume on each bar was associated with buying or selling pressure regardless of trend direction. Trend Color Mode : Uniform histogram coloring by current trend direction, providing a clean structural participation view without directional bar-level interpretation. Trend + Spikes Mode : Trend-colored histogram with statistical spike bars highlighted in a distinct color, identifying exceptional participation events against the structural background. ◆ Spike Markers : Diamond labels plotted at bar highs in a bull trend and lows in a bear trend on statistically exceptional volume bars, marking participation outliers for immediate identification. ▲ / ▼ Trend Signals : Triangle labels at trend state transitions mark the crossover bar where the structural drift boundary was breached, providing clear visual anchoring of each directional change. Colored Candles : Optional bar coloring reflects trend direction with intensity graduating from muted at low volume to fully saturated at peak participation, providing an immediate conviction reading. Note: The original chart candles must be disabled in chart settings for the trend-colored candles to display properly. Drift line positioning, active band proximity, and volume histogram behavior at the structural boundary collectively provide more information than any element in isolation. Signal Logic & Visual Cues Volumetric Trend Structure presents two primary structural interaction signals alongside continuous volume participation monitoring: Buy Signal (▲) : Green triangle appears when price closes above the upper drift line, marking the structural crossover that establishes bullish trend state and reassigns the lower drift as the active support band. Sell Signal (▼) : Red triangle appears when price closes below the lower drift line, marking the structural crossunder that establishes bearish trend state and reassigns the upper drift as the active resistance band. Volume spike detection provides continuous secondary context, with statistical outlier bars marked regardless of trend state to identify exceptional participation events that may precede structural developments. Alert generation covers bullish and bearish trend state transitions for systematic structural monitoring workflows. Strategy Integration Volumetric Trend Structure fits within structural trend-following and volume-informed directional approaches: Structure-Confirmed Entries : Use drift line crossovers as trend initiation points where price has demonstrated sufficient strength to breach a structurally-derived boundary, rather than reacting to moving average crossovers with no pivot significance. Active Band Pullback Framework : Use the active drift band as a pullback reference within established trends, monitoring volume histogram behavior at the band for participation evidence supporting continuation. Volume Spike Context : Treat spike events occurring near the active drift band as elevated-significance participation readings. Spikes confirming the trend direction at the band suggest strong structural support or resistance. Delta Mode Flow Analysis : In Delta color mode, monitor the directional gradient of histogram bars at the active band to assess whether volume at the structural boundary is predominantly buying or selling pressure. Pivot Count Sensitivity Adjustment : Reduce the Pivots to Average count for instruments requiring faster structural adaptation. Increase for markets where drift stability across more pivots better reflects the dominant trend. Multi-Timeframe Structural Alignment : Apply higher-timeframe drift line positions as directional context, confirming that lower-timeframe entries align with the broader structural trend defined by multi-pivot averaging. Technical Implementation Details Core Engine : Confirmed pivot high and low detection with configurable left-right bar requirement Drift Construction : Rolling array averaging of recent confirmed pivots with configurable array depth Trend Logic : Drift line crossover and crossunder state switching with active band reassignment Volume Normalization : Standard deviation-based scoring over 200-bar rolling window with four standard deviation cap Histogram Scaling : Range-derived step sizing using 200-bar average bar range for chart-adaptive bar heights Color Engine : Three-mode volume coloring with gradient delta, uniform trend, and trend with spike override Visualization : Band-anchored volume histogram, trend fill gradient, volume-intensity candle coloring, and signal labels Performance Profile : Optimized for real-time execution with max_bars_back configuration supporting deep historical pivot detection Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday structural drift tracking with tighter pivot lengths for faster structural response 15 - 60 min : Session-level trend structure identification with balanced pivot and averaging settings 4H - Daily : Swing-level structural trend mapping with higher pivot counts for stable, well-defined drift lines Suggested Baseline Configuration: Pivot Length : 3 Pivots to Average : 4 Volume Size : 1.0 Volume Histogram : Enabled Volume Color Mode : Trend + Spikes Color Candles : Enabled (requires disabling original chart candles in chart settings) Trend Fill : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's structural characteristics, pivot frequency, and preferred trend sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many trend flips : Increase Pivot Length to demand more structurally significant swing confirmations, reducing sensitivity to minor price swings that generate short-lived drift line crossovers. Trend too slow to respond : Decrease Pivot Length toward 1 for faster pivot confirmation, or reduce Pivots to Average so fewer historical pivots influence the drift line position. Drift lines too reactive : Increase Pivots to Average to smooth the drift calculation across more structural events, producing more stable trend boundaries that require more significant pivot shifts to move. Drift lines too stable : Decrease Pivots to Average toward 2 for a more responsive drift that closely tracks the most recent structural swings rather than the broader pivot average. Volume bars too large or too small : Adjust Volume Size to scale histogram height relative to the default range-derived step, adapting visibility to the instrument's typical price range and volatility. Spike highlights too frequent : The spike threshold is fixed at four standard deviations and is not user-configurable. Select Trend color mode if spike highlighting creates excessive visual noise on a particular instrument. Delta coloring unclear : Review whether close positioning within the bar range reliably reflects directional pressure on the target instrument before relying on Delta mode for flow analysis. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear swing structure where pivot highs and lows produce well-separated drift lines that provide unambiguous structural boundaries Instruments with consistent volume patterns where standard deviation normalization accurately identifies statistically significant participation events Structural pullback strategies monitoring price returns to the active drift band with volume confirmation Markets where volume participation at swing pivots reliably reflects institutional activity and structural conviction Reduced Effectiveness: Choppy, trendless markets where frequent pivot formation causes rapid drift line convergence and repeated trend state flips without directional follow-through Low-liquidity instruments where volume distribution is erratic and standard deviation normalization produces unreliable spike classifications Markets with irregular pivot structure where swing confirmation requirements cause significant lag in structural boundary updates during fast-moving directional moves Extremely compressed consolidation environments where upper and lower drift lines converge closely, reducing the structural differentiation required for reliable trend state assignment News-driven or gap-heavy instruments where pivot confirmation mechanics miss the structural significance of impulsive moves that do not form clean swing geometry Integration Guidelines Confluence : Combine with BOSWaves momentum tools, order flow analysis, or exhaustion level mapping for structural and conviction-layer confluence Active Band Respect : Monitor volume histogram behavior at the active drift band on each approach. Sustained low-volume retests suggest structural support, while high-volume penetration attempts warrant caution. Pivot Count Awareness : Recognize that drift lines reflect the average of recent pivots rather than just the latest swing. Sharp structural moves may shift the drift line gradually as older pivots roll out of the averaging window. Spike Utilization : Treat spike events as participation outliers deserving contextual analysis rather than automatic signals. Their directional significance depends on location relative to the active band and current trend state. State Discipline : Maintain directional bias aligned with current trend state until the opposing drift line is breached. Short-term price excursions toward the inactive drift line within an established trend do not constitute state changes. Disclaimer Volumetric Trend Structure is a professional-grade pivot-derived trend and volume participation analysis tool. It uses confirmed swing pivot averaging with statistically normalized volume measurement but does not predict future price movements. Results depend on market conditions, instrument structural characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, order flow analysis, and comprehensive risk management.
Pine Script® göstergesi
BOSWaves tarafından
3
Channel Breakout [EXCAVO]Automatic Convergent Channel Detection with Multi-Filter Breakout Confirmation The Channel Breakout automatically detects convergent channel patterns — wedges, flags, and triangles — by fitting trendlines through confirmed swing pivots on both boundaries simultaneously. When price breaks out with volume and momentum confirmation, the indicator signals the direction with colored channel lines and an entry label on the breakout candle. This is not a basic highest/lowest channel. The boundaries are built from verified pivot points, and a convergence filter ensures only genuinely contracting channels qualify — expanding ranges and sideways boxes are excluded. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator. It begins scanning for convergent channel patterns using swing pivots on the current timeframe. Step 2 → Wait for a channel to form. The indicator draws the upper and lower boundary lines in blue while price remains inside. Step 3 → Watch for the breakout signal. When price closes beyond either boundary with confirmation, channel lines turn blue (bull) or red (bear), and an arrow label appears on the breakout candle. Step 4 → Check the dashboard. It shows the current pattern state, breakout strength (Strong / Medium / Weak), and the directional bias score that built up while price was inside the channel. Step 5 → Read the strength rating. Strong breakouts combine high volume, deep body penetration, and RSI alignment. Weak breakouts show fewer confirming factors and may warrant additional analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ Pivot Detection Swing highs and lows are identified with ta.pivothigh / ta.pivotlow using a configurable lookback (Pivot Detection Length, default 5 bars each side). Only confirmed, closed pivots are used — no repainting. All recent pivots within the Max Channel Width lookback are stored and passed to the trendline fitting engine. ◆ Best-Fit Trendline Algorithm For the upper boundary, the engine tests every pair of stored pivot highs (a, b). For each candidate line through (a, b), it counts how many other pivot highs lie within ATR × Touch Tolerance of the line while no pivot exceeds it by more than ATR × Max Deviation. The line with the most qualifying touches becomes the upper boundary. The same process runs independently for pivot lows to find the lower boundary. Both boundaries must exist with at least Min Touches (default 2) to form a valid channel. ◆ Convergence Filter Once both boundaries are found, the engine measures channel width at the earliest shared bar (widthStart) and at the current bar (widthNow): convRate = 1 − (widthNow / widthStart) A channel is only accepted when convRate >= Min Convergence Rate (default 0.02). This rejects expanding wedges and flat ranges, keeping only contracting patterns. ◆ Breakout Detection and Strength Score On each confirmed bar close, the engine projects both boundary lines to the current bar. A bull breakout fires when close > upper boundary; a bear breakout when close < lower boundary. The breakout strength score blends five components: penetration depth relative to ATR (25%), candle body ratio (15%), body commitment relative to the broken boundary (15%), volume vs SMA-20 spike (25%), and RSI alignment above/below 50 (20%). Score >= 65 = Strong, >= 35 = Medium, < 35 = Weak. ◆ Confirmation Filters Three optional filters gate the breakout signal. Volume Spike Multiplier requires the breakout bar's volume to exceed 20-bar SMA by a configurable factor. Volume Contraction Filter requires that average volume inside the channel was lower than before the channel formed — confirming energy compression. Momentum Confirmation requires RSI > 50 for bull breakouts and RSI < 50 for bear breakouts. Any filter can be disabled for forex or low-volume instruments. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Pivot-Confirmed Boundaries Most auto-channel scripts use ta.highest / ta.lowest, which anchors lines to the highest wick in a window regardless of pattern shape. This indicator builds boundaries only through confirmed swing pivot points, the same anchor logic a trader would use when drawing manually. ◆ Convergence-Only Filter The convRate filter rejects any channel that is not actively narrowing. Sideways ranges, expanding wedges, and parallel channels are all excluded. Only patterns where price is compressing toward a decision point qualify. ◆ Best-Fit Touch Counting The engine evaluates every pair of pivots and selects the line with the highest touch count, not just the first two pivots it finds. A channel supported by four touches is stronger than one supported by two, and the algorithm reflects that by preferring denser confirmation. ◆ Multi-Component Strength Score The breakout strength is not a simple volume check. It combines five independent signals — penetration depth, body ratio, body commitment relative to the broken level, volume spike, and momentum direction — into a single 0-100 score that classifies the breakout as Strong, Medium, or Weak. ◆ Directional Bias Score While price is inside the channel, the dashboard tracks a real-time directional bias built from channel slope (35%), RSI deviation from 50 (35%), and price position within the channel range (30%). This gives a probabilistic lean on which side of the channel is more likely to break before the signal fires. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel (top right) with key state metrics: Status - Active (channel forming) / Bull Breakout / Bear Breakout / Scanning Direction - directional bias with arrow and % while channel is active (e.g. ▲ 64%); BULLISH or BEARISH after breakout Strength - Strong / Medium / Weak (breakout strength score); — while channel is forming Convergence - narrowing rate of the active channel in %; — when no channel Legend table (bottom left) explains every visual element. Toggle in Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Main Settings Pivot Detection Length - 5 (bars left/right for swing pivot confirmation; lower = more sensitive) Min Touches per Boundary - 2 (minimum pivot touches required per trendline) Max Channel Width (bars) - 120 (maximum lookback for channel search) Min Convergence Rate - 0.02 (minimum narrowing ratio; higher = stricter contraction) Filters Volume Spike Mult - 1.2 (breakout bar volume vs SMA-20; set 0.5 to disable on forex) Volume Contraction Filter - ON (require declining volume inside the channel) Momentum Confirmation - ON (RSI > 50 for bull, < 50 for bear) Visual Show Channel Patterns - ON (draw boundary lines) Show Pattern Background - OFF (subtle bgcolor while inside active channel) Channel Lines Line Width - 2 (boundary line thickness; 1-4) Risk Management Show Entry Labels - ON (arrow label on the breakout candle) Dashboard Show Dashboard - ON Position - Top Right (Top Left / Top Right / Bottom Left / Bottom Right) Font Size - Small (Small / Normal) Advanced Touch Tolerance (ATR) - 0.15 (pivot distance to count as a touch; 0.10-0.25) Max Deviation (ATR) - 0.30 (maximum pivot overshoot from the line) Min Channel Width (ATR) - 0.5 (minimum channel width filter) Alerts JSON Alerts - OFF (structured JSON payload for 3Commas, Wunderbit, and similar bots) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Bull Breakout - price closes above the upper channel boundary with confirmation Bear Breakout - price closes below the lower channel boundary with confirmation Any Breakout - either direction; use for a single alert covering both signals New Pattern - a new convergent channel has been detected and is now active ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
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Market Phase Detector [JOAT]Market Phase Detector Introduction Market Phase Detector is an open-source market structure classification engine that continuously identifies whether price is operating in a Bullish Trend, Bearish Trend, or Range state. The classification uses three independent inputs that must align simultaneously before a regime is confirmed, making the output robust against single-factor noise and false positives that plague simpler trend detectors. The problem Market Phase Detector solves is context. Trend-following entries during range conditions produce whipsaws. Mean-reversion entries during strong trending moves produce losses against the dominant flow. Knowing the regime before interpreting any other signal improves the relevance of every decision made from it. Market Phase Detector makes that determination automatically, updates it bar by bar, and visualizes both the current regime and every structural event that contributed to it — including labeled BOS and CHoCH events with horizontal level lines, live swing extension lines at the right edge, and an institutional-grade dashboard. Core Concepts 1. Swing Detection and Pivot Tracking Price structure is derived from pivot highs and lows confirmed using ta.pivothigh() and ta.pivotlow() with a configurable symmetric lookback. The lookback controls sensitivity — a value of 5 requires 5 bars on each side of the pivot to confirm it, producing only the most structurally significant swings. Each confirmed pivot updates the tracked level and resets its broken flag to allow new break detection on the next cycle: pivHi = ta.pivothigh(high, swingLen, swingLen) pivLo = ta.pivotlow(low, swingLen, swingLen) if not na(pivHi) topLevel := pivHi topBroken := false 2. Break of Structure vs Change of Character Two structural event types are distinguished and tracked independently. A Break of Structure (BOS) occurs when price closes through the previous swing extreme in the same direction as the current structural bias — confirming continuation. A Change of Character (CHoCH) occurs when price closes through the previous swing extreme against the current structural bias — signaling a potential regime flip: bosBull = bullBreak and structureBias == 1 chochBull = bullBreak and structureBias != 1 Every event is labeled directly on the chart with a horizontal line at the break level and a text label (BOS +, BOS -, CHoCH +, CHoCH -). Running counts of each type are tracked and displayed in the dashboard. 3. Three-Factor Regime Gate The regime classification evaluates all three inputs simultaneously before assigning a state. Structure bias is set by BOS and CHoCH events. The volatility gate compares current ATR to a moving average of ATR multiplied by a contraction threshold — when ATR falls below this level the market is classified as compressed and the regime defaults to Range regardless of structure or momentum. Momentum uses a smoothed rate-of-change that must confirm the structural direction: if isLowVol regime := 0 // Range — volatility gate overrides everything else if strBias == 1 and roc > 0 regime := 1 // Bullish else if strBias == -1 and roc < 0 regime := -1 // Bearish else regime := 0 // Inconclusive — range A confidence score (1-3) counts how many of the three factors currently agree and is displayed in the dashboard, allowing the trader to distinguish a fully confirmed 3/3 regime from a weaker 2/3 reading. 4. Swing Level Extension Lines The current unbroken swing high and swing low are extended as dotted horizontal lines to the right edge of the chart with price labels. These serve as the nearest structural reference levels — the next points where a BOS or CHoCH could occur. They are deleted and redrawn each bar using barstate.islast so they remain current without consuming the indicator's line budget: if barstate.islast and showSwingExt line.delete(swingHiLine) swingHiLine := line.new(topBar, topLevel, bar_index + 4, topLevel, color=color.new(#E65100, 45), style=line.style_dotted, width=2) 5. Regime Background Shading The chart background is tinted according to the current regime — faint teal for Bullish, faint orange for Bearish, neutral gray for Range. This gives immediate context at a glance without adding visual noise to the price action. Features Three-state regime output: Bullish, Bearish, and Range states derived from structure, volatility, and momentum alignment BOS and CHoCH event labels: Every structural break labeled on-chart with event type, direction, and horizontal level line Independent BOS and CHoCH counters: Running totals of each structural event type in the dashboard Swing level extension lines: Dotted right-edge lines at the current unbroken swing high and low with price labels ATR-based volatility gate: Low-volatility contraction forces a Range classification regardless of structure or momentum Smoothed momentum confirmation: Rate-of-change must align with structure before a trending regime is confirmed Confidence scoring (1/3 to 3/3): Quantifies how many of the three classification factors are currently aligned Regime background shading: Chart background tint reflects the current regime in real time Institutional dashboard (top right): 15-row table with regime state, confidence, last break direction and age, BOS and CHoCH counts, swing levels, and ATR Fully configurable colors: Bullish, bearish, and ranging tints plus structure line colors are independently adjustable All signals confirmed bar only: No repainting — all structural events fire on barstate.isconfirmed Input Parameters Structure Detection: Swing Lookback: Left/right bars required for pivot confirmation (default: 5) ATR Period: ATR calculation length (default: 14) Regime Classification: Volatility MA Length: MA length for ATR comparison (default: 20) Range Contraction Multiplier: ATR fraction below which the market is classified as ranging (default: 0.7) Momentum Lookback: Rate-of-change lookback and EMA smoothing period (default: 10) Display: Regime Background Shading toggle Show Dashboard toggle Show Structure Lines toggle Show Swing Level Extensions toggle How to Use This Indicator Step 1: Read the Current Regime Check the REGIME row in the dashboard. BULLISH, BEARISH, or RANGE appears in its corresponding color. This is the primary output. Use it to establish directional bias before consulting any other signal source. Step 2: Check Confidence Score The Confidence row shows how many of the three inputs align (e.g., 2/3). A 3/3 reading means structure, volatility, and momentum all agree. A 2/3 reading means one factor is diverging. Weight directional decisions higher during full 3/3 alignment. Step 3: Monitor CHoCH Events Each CHoCH label marks a structural break against the current bias — a warning that the regime may be shifting. When a CHoCH appears, watch whether subsequent bars confirm a new opposing BOS or whether the previous regime resumes. Step 4: Use Swing Extension Lines as Forward Reference The dotted right-edge lines mark the current unbroken swing levels — the nearest structural break zones. Knowing how close price is to these levels frames where the next BOS or CHoCH could occur. Step 5: Apply Regime as a Filter Market Phase Detector is designed as a context layer, not a standalone signal generator. Apply the regime output as a filter to your existing tools: only take long signals when the regime is Bullish, only take short signals when Bearish, and step aside or apply mean-reversion logic when Range is active. Indicator Limitations Pivot detection confirms swingLen bars after the pivot forms, creating a natural offset between the candle where the swing occurred and when it is labeled. This is intentional non-repainting behavior The volatility gate may temporarily classify a new trend as Range immediately after a volatility expansion if ATR has not yet risen above the threshold. This resolves within a few bars as ATR normalizes In slow, grinding markets, momentum may repeatedly lag structure, resulting in extended Range readings during mild trends Market Phase Detector classifies current market state. It does not predict future price direction or generate entry/exit signals Originality Statement Market Phase Detector is original in its three-factor gate requiring independent alignment of structure, volatility, and momentum before any regime is confirmed. This indicator is published because: The combination of CHoCH and BOS structural logic, an ATR contraction gate, and a smoothed momentum filter into a single lightweight classifier that produces a confidence score is uncommon in published open-source Pine Script v6 Distinguishing BOS from CHoCH within the same indicator — with independent event counts and labeled historical events — provides structural context that standalone trend indicators do not offer The confidence scoring system (1-3) quantifies the strength of the current regime reading across three independent analytical dimensions, not just a single oscillator value Swing level extension lines provide live structural reference at the right edge of the chart without requiring the user to manually draw levels or add a separate pivot indicator Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Regime classifications are based on historical price data and do not guarantee any future market behavior. All three factors can produce inaccurate readings in atypical market conditions. Always use proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator. -Made with passion by jackofalltrades
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Regression Flux Candles [JOAT]Regression Flux Candles Overview Regression Flux Candles renders a parallel candle series on top of price using linear regression applied independently to each of the four OHLC components. The result is a noise-filtered "flux candle" — a linearised representation of current price action that removes the erratic intrabar variation of raw candles and reveals the underlying trend direction with far greater clarity. A signal line (SMA of regression close) produces crossover buy/sell signals. Pivot-anchored support/resistance zones mark structural confluence areas. A six-timeframe MTF trend table provides session bias context. The Linear Regression Candle Concept Standard Japanese candlesticks display the raw open, high, low, and close of each bar — capturing every tick-driven fluctuation including news spikes, stop hunts, and market-maker manipulation. Linear regression candles replace each OHLC component with the endpoint of a linear regression line fitted over the last N bars: - LR Open = ta.linreg(open, length, 0) - LR High = ta.linreg(high, length, 0) - LR Low = ta.linreg(low, length, 0) - LR Close = ta.linreg(close, length, 0) The regression fits a straight line through the last N values of each component and returns the value of that line at the current bar. The resulting candle series is significantly smoother than raw price and acts like a weighted moving average of price structure without introducing the directional lag of traditional MAs. Bullish flux candles (LR close >= LR open) render in teal; bearish in purple. Signal Line and Crossover Logic A simple moving average of the LR close (default 7-bar SMA) acts as a signal line. When the LR close crosses above the signal line, a potential buy signal is generated. When it crosses below, a potential sell signal is generated. Crossovers are filtered by: - Volume filter: Volume must exceed the 20-bar volume SMA (configurable). This ensures signals occur during genuine participation, not thin-market noise. - RSI filter: Buy signals are blocked when RSI(14) >= 70 (overbought); sell signals are blocked when RSI(14) <= 30 (oversold). This prevents buying into extended moves and selling into oversold conditions. - Warmup gate: All signals are suppressed until max(LR_length * 3, EMA_length + 5) bars have elapsed. This prevents the statistical noise of early LR calculations from generating false signals. - Confirmed-bar gate: Signals only fire on barstate.isconfirmed — the final tick of a closed bar — preventing any repainting. Trend EMA A 200-period EMA (configurable length) is plotted as a gold line representing the macro trend bias. Position of price relative to the 200 EMA serves as a context filter that traders can apply manually: long signals above the EMA are higher quality, short signals below it are higher quality. Pivot S/R Zones Swing pivot highs and lows (configurable left/right bars) generate semi-transparent S/R boxes: - Resistance zones (from pivot highs): drawn in the bear colour with 89% transparency - Support zones (from pivot lows): drawn in the bull colour with 89% transparency Each zone extends forward by a configurable width in bars (default 40) from the pivot bar, or can be extended infinitely to the right. A maximum of 6 zones (configurable) are maintained; older zones are deleted as new ones form. Daily Signal Counter The dashboard tracks how many buy and sell signals have fired on the current trading day, resetting at each new daily session (detected via ta.change(time("D"))). This provides a quick intraday reference for signal frequency — useful for understanding whether a session is particularly active or quiet. Multi-Timeframe Trend Table Six independently configurable timeframes are assessed using the same linear regression logic: LR close >= LR open on each HTF = bullish; below = bearish. Each cell displays BULL or BEAR in its directional colour. An alignment counter shows how many of the six timeframes agree with the current LR direction. 5+ aligned = strong directional bias (teal); 1 or fewer = strong counter-trend warning (red); middle values show gold. Inputs Reference Regression Engine - LR Length (11) — lookback for all four linear regression calculations - Signal SMA Length (7) — SMA applied to LR close for crossover signal line - Trend EMA Length (200) — macro bias reference line Filters & Signals - Volume Filter on Signals — require volume > volume SMA - Volume SMA Length (20) - RSI Filter on Signals — block overbought/oversold crossovers - RSI Length (14) S/R Zones - Pivot Left/Right Bars (15/10) — pivot detection sensitivity - Show S/R Zones - Extend Zones to Right — infinite extension toggle - Zone Width (40 bars) — forward extension length when not extending to right - Max Zones to Show (6) MTF Dashboard - Show MTF Table - TF 1–6 — six configurable timeframes (default: 1, 5, 15, 60, 240, D) Visual - Bull / Bear Candle Color — OHLC candle colours for flux candles - Signal Line Color — signal SMA line colour - EMA Color — trend EMA line colour - Show Dashboard How to Use 1. Apply to any liquid market. Use LR length of 9–15 for intraday charts; 20–30 for swing trading. 2. Watch for flux candle colour transitions: a sustained sequence of teal candles above the signal line confirms an uptrend; purple candles below confirm a downtrend. 3. BUY labels appear below the bar when LR close crosses above the signal line with volume and RSI conditions met. SELL labels appear above the bar on crossunders. 4. Prefer signals where the flux candle direction (teal/purple) aligns with the EMA bias AND the MTF table shows 4+ timeframes in agreement. 5. S/R zones from prior pivots serve as target levels and potential reversal points — align entries near these zones for improved risk/reward. Non-Repainting Design All signals require barstate.isconfirmed. MTF data uses lookahead_off. LR calculations use only confirmed historical bars (offset 0 is the current bar's regression endpoint based on past data). Signal labels never move after being stamped on a closed bar. Limitations - Linear regression candles reduce volatility information. In sharp, impulsive markets, the flux candle series will understate the actual price range. Raw candles should be viewed alongside the indicator for context. - Short LR lengths (< 7) make the flux candles nearly identical to raw candles; very long lengths (> 30) introduce significant lag into the signal line crossovers. - The volume and RSI filters may suppress signals during thin trading hours on forex pairs (e.g., Asian session on EUR/USD pairs). Disabling filters during these sessions is a valid adjustment. - S/R zones are drawn from the pivot confirmation bar, not the pivot bar itself (due to the right-bar confirmation delay). Zone left edges are placed correctly but appear N bars after the actual pivot. Disclaimer This indicator is for educational and informational purposes only. Linear regression candles and crossover signals are technical analysis tools and do not predict future price movement. Always use proper risk management and conduct your own analysis. Made with passion by officialjackofalltrades
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