Get started

Tradingview

Smart Money Concepts [Combinado SMC Fabricio Nicolau]This indicator is a comprehensive model of Smart Money Concepts (SMC), designed to identify and visualize the institutional logic of the market on the chart—that is, how “smart money” operates. It analyzes market structure on two levels: Internal structure (short term) Swing structure (larger movements) Based on this, the indicator automatically marks: BOS (Break of Structure) → trend continuation CHoCH (Change of Character) → possible reversal In addition, it identifies key zones used by institutional players: Order Blocks → regions of interest where major players have acted Fair Value Gaps (FVG) → price imbalances that tend to be filled Equal Highs/Lows (liquidity) → regions where the market seeks stops Premium and Discount Zones → areas of expensive/cheap prices within the range Liquidity Voids → strong movements with low trading volume (inefficiencies) The indicator also includes: Current trend marking Identification of relevant tops and bottoms Volatility filters (ATR / Range) Option for historical or real-time viewing 📌 In summary: It transforms the “raw” chart into an institutional-grade read, showing structure, liquidity, and zones of interest, helping traders operate with more context and precision—especially in advanced price action and SMC strategies. Autor: Fabricio Nicolau
Pine Script® indicator
by fabricionicolauxx
Volume FinancialVolume This indicator displays real-time trading volume in the form of colored bars, showing market activity and trader participation for each candle. Since easyMarkets does not provide volume data, the indicator automatically retrieves volume from the most closely correlated proxy market for each asset—futures, spot, or cryptocurrencies—ensuring accurate volume readings across all instruments. Bar colors: 🟢 Green — bullish candle (close above open) 🔴 Red — bearish candle (close below open) The Exponential Moving Average (EMA) line helps identify whether current volume is above or below its recent average—a key signal for trade confirmation: Price movement with high volume → strong and reliable movement Price movement with low volume → weak and potentially false movement Compatible with all timeframes and major assets on easyMarkets: Forex, Indices, Commodities, Metals, Energy, Cryptocurrencies, and Stocks. Author: Fabricio Nicolau — Market Analyst at easyMarkets
Pine Script® indicator
by fabricionicolauxx
VWAP Daily BandsVWAP Daily Bands This indicator plots the Daily Anchored VWAP (Volume Weighted Average Price) with automatic reset at the start of each new day, accompanied by 3 standard deviation bands above and below. The VWAP represents the fair price of the asset for the day — when price moves away from it, it tends to revert back. The bands indicate the degree of that deviation: 1σ — mild deviation, alert zone 2σ — moderate deviation, caution zone 3σ — extreme deviation, potential reversal zone Upper bands in dark red indicate overbought conditions. Lower bands in dark green indicate oversold conditions. Since easyMarkets does not provide volume data, the indicator automatically fetches volume from a correlated proxy market for each asset — futures, spot or crypto — ensuring the VWAP calculation remains accurate even without local volume. Compatible with all timeframes and the main easyMarkets assets: Forex, Indices, Commodities, Metals, Energy, Crypto and Stocks. Author: Fabricio Nicolau
Pine Script® indicator
by fabricionicolauxx
Regime Execution Strategy [JOAT]Regime Execution Strategy Introduction Regime Execution Strategy is an open-source TradingView strategy that integrates adaptive forecast context, extreme-channel state, trend pressure, relative volume, and EMA structure into a single rule-based execution model. The strategy is designed to be realistic, non-repainting, and readable rather than curve-fit to one symbol. The problem it solves is trade filtering. A single signal source can trigger too often in poor conditions. Regime Execution Strategy requires multiple independent votes before entries are allowed, then uses ATR-based stop and target logic for consistent risk framing. Core Concepts 1. Adaptive Forecast Bias The strategy estimates a dynamic mean and band structure. Price above or below the adaptive mean contributes to directional bias. 2. Extreme Channel Bias Persistent upper and lower channel levels define a midpoint and directional state. The channel contributes a second independent vote. 3. Pressure and Structure Gate Momentum, pullback location, and fast/slow EMA structure contribute to the regime score. A minimum vote count and relative-volume filter are required before entry. longSignal = barstate.isconfirmed and bullVotes >= voteThreshold and bullRegime and (longBreakout or longReclaim) 4. ATR-Based Risk Management Stops and targets are derived from ATR and position average price. The strategy also includes max drawdown and max intraday filled order risk controls. Features Integrated regime detection: Forecast, channel, pressure, and EMA structure combine into a regime score Multi-vote entry logic: Entries require several independent components to align More active defaults: Default RVOL and regime thresholds are permissive enough to participate across many timeframes ATR stop and target: Risk is framed with volatility-adjusted exits Bias-flip exits: Positions can close when the opposing regime gains enough votes Risk controls: Max drawdown and max intraday filled orders are included Overlay visuals: Forecast bands and adaptive channel context can be displayed on chart Top-right dashboard: Regime, score, pressure, RVOL, votes, position, band width, and setup Alerts: Long and short setup events Input Parameters Forecast: Source, Forgetting Factor, Regression Horizon, Band Multiplier, ATR Blend, and Rebase Interval Regime: Fast EMA and Slow EMA: Trend structure references Pressure Length: Momentum and pullback window Pressure Threshold: Minimum pressure vote threshold Min RVOL: Participation filter Min Votes: Minimum number of aligned components for entries Risk: Stop ATR: Stop distance multiplier Target ATR: Target distance multiplier Max Drawdown %: Strategy risk halt setting Max Intraday Filled Orders: Limits daily trade frequency How to Use This Strategy Step 1: Read the dashboard regime before judging entries. Step 2: Use votes and pressure to understand why a setup qualified. Step 3: Review stop and target settings for the symbol and timeframe being tested. Step 4: Evaluate results across multiple markets and date ranges, not one optimized window. Strategy Limitations This strategy is not optimized for a specific symbol or timeframe More active defaults can increase trade count and also increase exposure to choppy periods Backtest fills are simulated by TradingView and may not match live execution All entry signals use confirmed-bar logic, so entries can occur after the intrabar move has begun Strategy performance should be evaluated with realistic commission, slippage, and position sizing Originality Statement Regime Execution Strategy is original in its integration of adaptive forecast bias, extreme-channel state, pressure voting, relative volume gating, EMA structure, ATR exits, and dashboard reporting into one open-source strategy. It does not copy third-party source code. Disclaimer This open-source strategy is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Backtested results do not predict future performance. Trading involves substantial risk, and users are responsible for their own risk management. -Made with passion by jackofalltrades
Pine Script® strategy
by officialjackofalltrades
Aureon Pressure Lens [JOAT]Aureon Pressure Lens Introduction Aureon Pressure Lens is an open-source pressure oscillator designed to classify directional participation, conviction, and transition states in a separate pane. It blends price impulse, EMA structure, momentum, range location, candle body pressure, and relative volume into one bounded score. The problem it solves is signal quality. A single oscillator can fire during weak, low-participation moves. Aureon Pressure Lens requires pressure, signal-line behavior, relative volume, and component consensus to align before confirmed buy or sell labels appear. Core Concepts 1. Multi-Component Pressure Blend The oscillator uses several independent inputs: impulse from prior price, fast/slow structural slope, normalized momentum, range position, and candle body direction. 2. Tanh Normalization Each component is normalized into a stable bounded range so one volatile input does not dominate the entire reading. pressureScore = f_tanh(pressureBlend * 1.60) * 100.0 signalLine = ta.ema(pressureScore, signalLength) 3. Consensus Filter The confidence reading measures how closely the components agree. A signal must satisfy the minimum conviction threshold before it can print. 4. Relative Volume Participation The script measures current volume against a moving average and uses that reading as a participation gate. The default is permissive enough for broad use while still filtering extremely quiet conditions. Features Separate-pane pressure score: Bounded -100 to +100 directional pressure reading Signal line: Smoothed reference for pressure resets and crossovers Gradient pressure color: Score color transitions between bearish, neutral, and bullish states Pressure cloud: Optional fill between pressure and signal line Confirmed BUY/SELL labels: Closed-bar events filtered by consensus and RVOL Top-right dashboard: State, bias, pressure, signal, RVOL/conviction, and action Alerts: Bullish and bearish confirmed pressure resets Input Parameters Calculation: Core Lookback: Main analysis window for impulse and range context Fast Lens / Slow Lens: EMA structure lengths Signal Lens: Smoothing length for the signal line Pressure Sensitivity: Normalization intensity Min Relative Volume: Participation gate for labels Min Conviction: Minimum component agreement required for labels How to Use This Indicator Step 1: Read the pressure score relative to zero. Step 2: Use the cloud and signal line to identify pressure resets. Step 3: Check dashboard conviction and RVOL before acting on labels. Step 4: Combine with an overlay structure or regime tool for full chart context. Indicator Limitations The oscillator measures current pressure, not future price direction Relative volume can behave differently on symbols with limited volume data Choppy markets can create repeated signal-line crosses Confirmed labels appear only after the bar closes Originality Statement Aureon Pressure Lens is original because it combines impulse, structure, momentum, range position, candle body pressure, relative volume, and component consensus into a single closed-bar pressure engine with a dedicated dashboard. It does not copy third-party source code. Disclaimer This open-source indicator is for educational and informational purposes only. It is not financial advice. Markets can change quickly, and no pressure reading guarantees a future move. Use risk controls and independent analysis. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
VWAP Daily Bands PremiumVWAP Daily Bands - easyMarkets This indicator plots the Daily Anchored VWAP (Volume Weighted Average Price) with automatic reset at the start of each new day, accompanied by 3 standard deviation bands above and below. The VWAP represents the fair price of the asset for the day — when price moves away from it, it tends to revert back. The bands indicate the degree of that deviation: 1σ — mild deviation, alert zone 2σ — moderate deviation, caution zone 3σ — extreme deviation, potential reversal zone Upper bands in dark red indicate overbought conditions. Lower bands in dark green indicate oversold conditions. Since easyMarkets does not provide volume data, the indicator automatically fetches volume from a correlated proxy market for each asset — futures, spot or crypto — ensuring the VWAP calculation remains accurate even without local volume. Compatible with all timeframes and the main easyMarkets assets: Forex, Indices, Commodities, Metals, Energy, Crypto and Stocks. Author: Fabricio Nicolau — Market Analyst at easyMarkets
Pine Script® indicator
by easyMarkets
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
Pine Script® strategy
by officialjackofalltrades
Mercator Pressure [JOAT]Mercator Pressure Introduction Mercator Pressure is an open-source institutional-style pressure oscillator built to measure directional force using a blended model of candle pressure, close-location behavior, range expansion, optional volume impulse, and volatility-channel context. The goal is to capture not just whether momentum is positive or negative, but how forceful and structurally aligned that movement is. The problem Mercator Pressure solves is shallow momentum interpretation. Many oscillators react to price movement but fail to distinguish between weak drift, strong displacement, location inside a volatility envelope, and divergence between price and internal force. Mercator Pressure combines those dimensions in one panel and adds confirmed divergence logic, threshold regimes, layered gradients, and a live dashboard. Core Concepts 1. Weighted Candle Pressure Engine The core model scores each bar using a weighted blend of body impulse, close location, range expansion, and optional relative volume impulse. This helps the oscillator react differently to high-conviction bars than to passive movement. 2. Volatility-Channel Context Engine Pressure is not evaluated in isolation. The script also measures where price sits inside an adaptive volatility envelope and uses that context as part of the composite regime model. 3. Composite Regime and Signal Layer The pressure and context models are blended into a smoothed composite oscillator and signal line. Regime state is then derived from threshold behavior and internal persistence. 4. Confirmed Divergence Detection Both regular and hidden divergence are supported using pivot-confirmed logic, which keeps the divergence framework more stable than naive visual divergence methods. 5. Institutional Panel Styling Mercator Pressure uses layered fills, gradient regime cues, restrained optional divergence markers, and a top-right dashboard rather than retail-style arrow spam. Features Multi-factor pressure engine: Body, close location, range expansion, and optional relative volume Volatility envelope context: Internal force is blended with channel position Composite oscillator and signal line: Regime interpretation is smoother and more stable Regular and hidden divergence: Pivot-confirmed divergence conditions Confirmed-bar event gating: Alerts and key events can be evaluated on closed bars Layered gradient fills: Smooth panel depth instead of harsh histogram clutter Regime background tint: Visual context in the panel Top-right dashboard: Live state readout for regime, slope, context, and divergence Optional divergence markers: Uses professional square and diamond markers, not arrows Alertconditions: Regime flips, signal crosses, expansions, and divergences How to Use This Indicator Step 1: Read the Composite Line Versus Signal When the composite line is above the signal and above key thresholds, internal pressure is supportive. The opposite applies during bearish pressure. Step 2: Check Regime State Use the dashboard and panel tint to determine whether the script sees a bullish, bearish, or neutral pressure regime. Step 3: Watch Expansion Conditions Expansion events are stronger than ordinary threshold crosses because they imply pressure is extending into a more forceful state. Step 4: Use Divergence as Context Divergence is best used as a warning or contextual signal, not as a blind reversal trigger. Indicator Limitations Divergence only confirms after pivots confirm, which introduces natural delay by design Pressure is a proxy model derived from chart data, not exchange-level order flow The composite engine is adaptive and may behave differently across very low-volatility versus very high-volatility symbols This script is best used as a directional-quality filter or context tool, not a standalone trading system Originality Statement Mercator Pressure is original in the way it combines weighted candle pressure, volatility-envelope context, regime hysteresis, and pivot-confirmed divergence inside one coordinated panel. Its value comes from force measurement, contextualization, and divergence structure rather than from any one common oscillator formula. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Pressure and divergence readings are derived from historical price and volume behavior and do not guarantee future results. - Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Concordance Strategy [JOAT]JOAT Concordance Strategy Introduction JOAT Concordance Strategy is an open-source multi-factor TradingView strategy designed to integrate the JOAT indicator stack into one execution framework. It combines regime context, liquidity interaction, retracement logic, pressure confirmation, channel behavior, and participation filters to decide when enough independent evidence exists to justify a trade. The problem it solves is single-factor dependency. Trend-only systems often chase poor location. Liquidity-only systems can trigger too early. Oscillator-only systems can fade strong directional auctions. Retracement-only systems can buy weak pullbacks without sponsorship. This strategy attempts to solve that by requiring overlap. It does not assume one tool family is sufficient on its own. Instead, it asks whether multiple analytical dimensions agree. That agreement is what the strategy calls concordance. Core Concepts 1. Regime Gate The strategy first evaluates local and higher-timeframe baseline structure, slope, volatility state, and directional control. 2. Hard and Soft Directional States The system uses stronger and softer directional states instead of an all-or-nothing gate. 3. Liquidity and Structure Stack Entries consider sweep behavior, break state, and displacement. 4. Retracement and Confluence Layer Local and HTF retracement context help determine whether price is pulling back into a structurally meaningful area. 5. Pressure Confirmation Pressure logic attempts to confirm that price action has sponsorship behind it rather than only visual momentum. 6. Sigma Channel State Channel logic helps determine whether price is re-entering a directional path or fading from extension. 7. Participation Filter Relative volume and delta-style participation help avoid weak sponsorship environments. 8. Risk and Exit Model The strategy uses structure-aware ATR stops, partial exits, break-even logic, trailing behavior, and optional time exits. Features Integrated multi-factor entry model: regime, liquidity, retracement, pressure, channel, and participation More active soft-entry path: allows more trades while keeping directional structure Confirmed-bar logic: entries use confirmed state conditions Equity-risk sizing: position size is derived from risk per trade ATR and structure-aware stops: volatility and market structure both matter Two-stage profit taking: TP1 and TP2 split the exit logic Break-even and trailing logic: protects trades after expansion Time-based exit: removes stale positions when needed Dashboard: regime, confluence, pressure, ledger, and position state are displayed Strategy Properties Used by Default Initial capital: 100000 Commission type: percent Commission value: 0.02 Pyramiding: 0 Position sizing: equity-risk based Trade management: partial exits, break-even logic, ATR trail, optional time exit How to Use This Strategy Step 1: Treat it as a research framework rather than a promise of future performance. Step 2: Evaluate it across multiple markets and timeframes because the more permissive logic should produce broader participation than the earlier strict version. Step 3: Judge the quality of the trade distribution rather than focusing on one isolated metric. Step 4: Respect the compromises between selectivity and trade frequency. Step 5: Use realistic expectations and avoid reading a single backtest as proof of repeatable future outcomes. Strategy Limitations The strategy still depends on confirmed conditions and can therefore enter later than a discretionary trader Trade frequency and quality vary significantly by symbol and timeframe Default settings are general-purpose and may not be ideal for every market Optimizing too aggressively can become curve fitting Backtest results are hypothetical and do not guarantee future performance Originality Statement This strategy is original in how it requires agreement across regime, liquidity, retracement, pressure, channel, and participation modules before or during entry qualification. The components are not merged simply to produce a busier system. Each one addresses a different failure mode in execution. Their overlap is the basis for participation. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice. Backtest results are hypothetical and depend on assumptions, settings, and market selection. They do not guarantee future returns. Trading involves substantial risk of loss. Always validate assumptions independently and use responsible risk management. Best Use Cases Researching whether cross-confirmation improves selectivity over single-factor systems Studying how regime, liquidity, retracement, and participation interact inside one strategy Comparing trade frequency across markets and timeframes after the softer entry expansion Testing realistic risk-management assumptions inside a multi-layer strategy Interpretation Notes This strategy should be evaluated as a process, not as a single summary metric. Trade count matters. Distribution of trades matters. How the system behaves across different instruments matters. The softer entry path was added to prevent the strategy from becoming too inactive, especially on higher timeframes. That makes the strategy more usable for broad testing while still preserving directional structure. Publication Notes This strategy should be published with a clean chart and realistic default Properties. If showing results, the description should stay grounded and avoid implying that one test run guarantees future outcomes. The chart image should make the strategy entries and exits easy to understand. -Made with passion by jackofalltrades Evaluation Framework 1. Start by checking whether the strategy is active on the instrument and timeframe you care about. 2. Compare trade count before and after threshold changes. 3. Review whether trade quality remains acceptable as activity increases. 4. Study the interaction between regime, liquidity, pressure, and participation at entry. 5. Judge the strategy by distribution and robustness rather than one isolated metric. Why This Matters The strategy exists to test whether agreement across multiple independent analytical layers can improve execution quality. That research question is more important than any one headline metric. Open-Source Notes This strategy is published open source so users can inspect how the modules overlap and how the risk model is applied. Who This Is For This strategy is for users who want to study how multiple context layers can be combined inside one execution model. It is not intended for anyone looking for a one-click guarantee. Summary JOAT Concordance Strategy is best understood as a structured research tool. It exists to test whether regime, liquidity, retracement, pressure, channel, and participation agreement can improve decision quality. Additional Notes This strategy should be judged with realistic commission and execution assumptions. It should also be evaluated on enough trades to produce a meaningful sample. The defaults are intended to stay grounded rather than theatrical.
Pine Script® strategy
by officialjackofalltrades
Aperture Imbalance Register [JOAT]Aperture Imbalance Register Introduction Aperture Imbalance Register is an open-source Pine Script v6 indicator built to detect, rank, and manage directional imbalance zones in a more structured way than a basic fair value gap overlay. Instead of marking every raw three-candle gap and leaving the trader to judge which ones matter, the script builds a register of active bullish and bearish imbalance zones, measures their internal lower-timeframe participation, assigns a quality score, tracks mitigation progress, and keeps the resulting stack visible with a compact institutional-style dashboard. The problem this indicator solves is selectivity. Many imbalance tools show too many zones, retire them too slowly, or provide no context for which inefficiencies are likely to matter. Aperture Imbalance Register focuses on the active imbalance stack and grades each register by combining gap displacement with lower-timeframe volume participation. That lets the trader see not only where imbalance exists, but how concentrated the internal participation was when the zone formed. The script is designed for traders who use imbalance as part of a broader market-structure process. It is not trying to predict every reversal. It is designed to answer practical chart questions: where are the open directional inefficiencies, how strong are they, how much of each zone has been mitigated, and whether the current stack favors bullish or bearish continuation pressure. Because the script uses Pine Script v6 lower-timeframe arrays, the register is not just a visual box painter. It uses lower-timeframe intrabar data to build participation histograms inside each zone, identify the local point of control of the imbalance, and display whether a register still has open space or has already been substantially repaired by later price action. Core Concepts 1. Confirmed Bullish and Bearish Gap Detection The script detects a bullish register when the current low is above the high from two bars ago and the middle bar confirms continuation. It detects a bearish register with the inverse condition. A sigma-style filter based on the statistical size of the gap helps reject weaker dislocations: bool confirmedBullGap = enoughGapHistory and barstate.isconfirmed and low > high and high > high and bullGapSigma > gapSigma bool confirmedBearGap = enoughGapHistory and barstate.isconfirmed and high < low and low < low and bearGapSigma > gapSigma This means the indicator is not plotting every minor price skip. It requires both structural displacement and a size filter before a new register is added to the active stack. 2. Lower-Timeframe Participation Ranking Once a gap is confirmed, the script requests lower-timeframe `close` and `volume` data using `request.security_lower_tf()` and maps intrabar participation into configurable bins across the zone. That participation profile is then used to score the register. This matters because not all imbalances are equal. Some form with broad participation spread across the full zone. Others form with concentrated acceptance in one portion of the gap. The participation histogram helps identify where the market transacted most heavily inside the register and where the imbalance may be most meaningful on a retest. 3. Quality Scoring and Register Prioritization Each register receives a quality score derived from the concentration of lower-timeframe participation plus the size of the gap sigma event. Higher-quality zones get more visual emphasis, stronger edges, and greater dashboard influence. In practice, this creates a hierarchy. The trader does not need to treat every imbalance equally. The register list naturally emphasizes the zones with stronger displacement and denser participation. 4. Mitigation Tracking and Lifecycle Management Open imbalance is not enough. What matters is whether the zone remains unfilled. The script measures mitigation depth as price trades back into the register and updates the display from open to partial mitigation to fully filled. When the `Retire Fully Mitigated Zones` option is enabled, fully repaired or invalidated zones are removed from the active stack. This keeps the chart cleaner and prevents stale boxes from dominating the view after the market has already rebalanced the inefficiency. 5. Participation Histogram and Local POC Each register can display a small internal histogram showing participation intensity by price segment. The maximum participation bin defines the register’s local point of control, and that level is drawn as a line through the zone. This gives the register more structure than a plain box. Instead of just seeing the outer bounds, the trader can see where activity concentrated inside the imbalance. Features Bullish and bearish imbalance registers: Detects confirmed gap-style inefficiencies in both directions using confirmed-bar logic Lower-timeframe participation model: Uses lower-timeframe arrays to rank each register by internal participation rather than gap presence alone Quality scoring: Combines participation concentration and sigma displacement into a single register score Mitigation tracking: Continuously estimates how much of each register has been repaired by later price action Automatic lifecycle retirement: Fully mitigated or invalidated zones can be retired automatically to reduce clutter Internal histogram bars: Optional profile bars show where lower-timeframe participation concentrated inside the zone Point-of-control line: Each register maintains a local participation midpoint for tactical reference Midline support: Optional dotted midpoint line helps visualize the fair center of the register Dashboard summary: Displays bull count, bear count, mitigated count, average quality, best quality, stack count, and bias Data-window exports: Publishes stack bias, quality sum, and active register count for downstream reading Visual Elements Register boxes: The outer body of each imbalance zone shows whether price is dealing with bullish or bearish open inefficiency Participation bars: Optional internal profile bars highlight where lower-timeframe participation concentrated inside the register Midline and POC references: The centerline and participation high point help identify the most important sub-levels inside the zone Adaptive edge intensity: Stronger registers receive more visual emphasis than weaker ones Mitigation labels: Each register updates from open to mitigation to filled so the chart communicates lifecycle state directly Best Practices Use the register stack as context, then let your own execution model decide entries Favor high-quality registers that align with broader structure instead of reacting to every new zone Treat partial mitigation as a sign that some imbalance has already been repaired, not as automatic invalidation Be especially careful on symbols with poor lower-timeframe data because internal participation quality can degrade If the active stack flips from one side to the other quickly, read that as changing imbalance context rather than a guaranteed reversal signal Input Parameters Intrabar Data: Auto Lower Timeframe: Automatically derives a lower timeframe for participation analysis Custom Lower Timeframe: Allows manual lower-timeframe selection when auto mode is disabled Calculation Depth: Controls how much lower-timeframe history is requested Imbalance Detection: Gap Sigma Filter: Sets the minimum displacement strength required for a new register Participation Bins: Controls how many internal profile slices are built inside each zone Max Active Registers: Limits how many open registers remain on the chart at once Retire Fully Mitigated Zones: Removes zones once they are effectively repaired or invalidated Lifecycle And Display: Extend Active Zones: Extends open registers to the right for forward reference Show Participation Histogram: Displays the internal lower-timeframe bar profile Show Midline: Draws a dotted centerline through each register Show Dashboard: Enables the top-right summary panel How to Use This Indicator Step 1: Read the Stack Bias Start with the dashboard. Compare the bullish and bearish active register counts and note the stack bias value. A positive bias means bullish imbalance is dominating the active structure. A negative bias means bearish imbalance is dominating. Step 2: Focus on Quality, Not Quantity Use the average and strongest quality readings to judge whether the active stack is meaningful. A chart with fewer but stronger registers is often more actionable than a chart with many weak inefficiencies. Step 3: Watch Mitigation Progress Each active register updates from open to partial mitigation to filled. Open registers represent unresolved inefficiency. Deeply mitigated registers have already lost part of their tactical edge. Step 4: Use The Internal Profile When the participation histogram is enabled, look for bins that concentrated most of the intrabar volume. The local point of control and denser profile segments often become the most useful retest references inside the wider zone. Step 5: Apply It As Context, Not A Standalone Trigger Aperture Imbalance Register works best as a context layer. It helps frame whether an imbalance stack is supporting continuation or warning of unresolved opposing pressure. Use it with your own structure, execution, and risk model. Indicator Limitations Because the script uses lower-timeframe data requests, realtime behavior can differ slightly from historical behavior as new intrabars accumulate inside the live bar Mitigation does not guarantee reversal or continuation. It only shows how much of the zone has been traded back through A strong register can still fail if broader market structure, liquidity, or volatility conditions change On very low-history charts or symbols with thin lower-timeframe data, participation quality can be less informative than on liquid instruments Originality Statement Aperture Imbalance Register is original in the way it treats imbalances as managed registers rather than passive boxes. The script is published because it contributes more than a generic fair value gap mashup: It ranks each imbalance with a lower-timeframe participation model instead of drawing every gap with equal importance It combines gap displacement, intrabar participation, mitigation tracking, and internal histogram rendering into a single workflow It maintains a tactical register stack with lifecycle management rather than leaving stale zones permanently on the chart It exposes stack-level information through a dashboard and data-window fields so the indicator can be read systematically 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. Imbalance zones are analytical references based on historical price behavior and lower-timeframe participation, not guarantees of future reaction. Markets can rebalance, ignore, or invalidate any zone without warning. Always use proper risk management and independent judgment. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Session Reclaim Planner [AGPro Series]Session Reclaim Planner 🧠 Core Idea Did price reclaim a key session high or low with enough acceptance to create a valid planning context? 📌 Overview / What it does Session Reclaim Planner is an intraday decision-support tool built around session high and session low reclaim behavior. It builds a configurable reference session, maps the session high/low rails, then monitors whether price temporarily loses one of those rails and reclaims it with measurable acceptance. The script produces a 0-100 Reclaim Score, session level rails, a reclaim pocket, a risk edge, a target corridor, event labels, alerts, and a compact AG Pro planning panel. It is designed to help traders organize session reclaim context instead of reacting to every touch of a session level. It does not predict price direction, automate trades, or mark every session high/low as important. The script focuses on a specific sequence: session rail built -> rail temporarily lost -> rail reclaimed by close -> acceptance quality reviewed. 🎯 Purpose & Design Philosophy This script was built to fill the gap between simple session level markers and broad session reaction tools. Many session indicators show highs, lows, opens, boxes, or kill zones. Those references can be useful, but they often leave the trader with the harder question: did the level actually get reclaimed with enough structure to matter? Session Reclaim Planner supports a planning-first mindset. It asks whether the setup is valid, how strong it is, where the risk edge sits, where the target corridor is, and what the next action state should be. ⚡ Why This Script Is Different Most session tools focus on time windows, session opens, or static high/low levels. This script does NOT clone Session Reaction Map, Kill Zone Session Engine, Session VWAP Reaction Engine, Session Range Expansion Planner, Previous Day Sweep & Reclaim, or a generic support/resistance map. Instead, it focuses only on session rail reclaim behavior after a completed reference session. The reclaim must come from a clear rail loss and a close back through the level, then the script evaluates acceptance, participation, room, and risk structure. ⚙️ Methodology 1. Context Detection The script builds a configurable session range and stores the session high and low as active reclaim rails. 2. Reference Mapping The high and low rails are projected forward. The user can evaluate both rails or focus only on the high or low. 3. Reaction Evaluation The planner waits for a temporary rail loss, then checks whether price closes back through the rail with enough reclaim distance. 4. Visual Output Accepted events create a reclaim pocket, risk edge, target corridor, chart labels, panel state, and alert conditions. 🗺️ How to Read the Chart Zones = the reclaim pocket and target corridor. Labels = rail loss, reclaim watch, plan review, failed reclaim, and target review events. Colors = bullish low reclaim uses AGPro teal, bearish high reclaim uses AGPro pink, neutral review states use gold, and target context uses indigo. Panel = current session level, Reclaim Score, acceptance status, risk edge, and action state. 🚦 Signals & States • Reclaim Watch → price has temporarily lost a selected session rail and the planner is waiting for a reclaim close. • Acceptance Watch → a reclaim close exists, but the plan still needs enough quality or acceptance. • Plan Review → score and acceptance are strong enough to review risk and target context. • Risk Edge Test → price is testing the active risk boundary. • Failed Reclaim → price closes through the risk edge and the reclaim plan is no longer valid. • Target Review → price reaches the target corridor and the reaction should be reviewed. 🔔 Alerts Logic Bullish Session Reclaim triggers when the session low is lost, reclaimed, and the score reaches the alert threshold. Bearish Session Reclaim triggers when the session high is lost, reclaimed, and the score reaches the alert threshold. Plan Review triggers when the active reclaim reaches the required score and acceptance conditions. Failed Reclaim triggers when price closes through the active risk edge. Target Review triggers when price reaches the active target corridor. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The score combines multiple conditions: • Reclaim close strength • Acceptance closes • Volume support • Risk-to-target room • Session range fit When those elements align, the reclaim context becomes stronger. When one or more elements are weak, the panel keeps the user in watch or no-review states. 📊 When to Use • 1H publication charts and lower intraday execution-review charts • Intraday markets with clear session behavior • Session high/low reclaim workflows • London or New York continuation/reversal review • Markets where traders actively monitor session rails • Clean reclaim sequences after temporary level loss ⚠️ When NOT to Use • Very low liquidity markets • Extremely noisy micro timeframes • Symbols where session windows are not meaningful • Conditions with erratic gaps or unreliable volume • Markets where the reference session is not relevant to your workflow 🎛️ Key Inputs • Visual Timeframe Preset → default chart objects are optimized for 1H and lower publication charts, while 4H or all intraday visuals can be enabled manually. • Session Timezone → defines how session windows are interpreted. • Level Build Session → builds the reference high and low rails. • Monitor Session → defines when reclaim behavior is evaluated. • Reclaim Rail Mode → selects high, low, or both rails. • Minimum Rail Loss ATR → controls how much level loss is required before a reclaim watch starts. • Acceptance Closes → controls how many closes must hold the reclaimed side. • Target Corridor Model → selects rail-based, R-based, or hybrid target logic. • Panel and Label Settings → control readability, location, theme, and font sizes. 🖥️ Interface & Visual Design The interface is built around a clean AG Pro planning panel and chart-first visual structure. The session rails define the level context. The reclaim pocket defines the recovered area. The risk edge shows where the active plan weakens. The target corridor frames the next review area. Labels are intentionally compact and offset away from candles so the chart remains readable without looking empty. 🧪 Practical Usage Workflow 1. Read the AG Pro panel. 2. Check whether the session rails are built. 3. Wait for a rail loss and reclaim close. 4. Review the Reclaim Score and acceptance count. 5. Compare the risk edge and target corridor with broader market context. 🔍 Interpretation Guidelines Treat the script as a structured session reclaim map. A higher score means the reclaim has cleaner acceptance, better participation, and better room relative to risk. A lower score means the reclaim may still exist, but the plan quality is weaker or incomplete. The target corridor is a review area, not a guaranteed objective. 🚫 What This Script Is NOT • Not a prediction engine • Not financial advice • Not auto trading • Not guaranteed signals • Not a generic support/resistance map • Not a session open reaction scanner • Not a VWAP reclaim tool ⚠️ Limitations & Transparency Session behavior depends heavily on symbol, liquidity, timezone, and timeframe. A reclaim that looks clean on one timeframe may look incomplete or noisy on another. Volume support can be less reliable on markets where reported volume is limited or synthetic. No rule-based script can account for every news event, spread condition, execution constraint, or market regime shift. 🧠 Market Context Notes Session reclaim behavior often matters because traders watch session highs and lows as liquidity and structure references. The key distinction is not the level itself. The key distinction is whether price lost the level, reclaimed it, and then held acceptance strongly enough to deserve review. 🧾 Use Case Examples When price sweeps below the built session low, closes back above it, holds acceptance, and has room toward the opposite rail, the panel may move into Plan Review. When price reclaims a rail but immediately closes through the risk edge, the state shifts to Failed Reclaim. When price reaches the target corridor, the script marks Target Review so the user can evaluate the reaction instead of assuming continuation. 🧱 System Philosophy Session Reclaim Planner follows the AGPro decision-engine model: Validate the setup. Score the quality. Map the risk. Frame the target. Show the next action state. 🔐 Non-Promise Statement The script does not provide certainty. It organizes session reclaim context with rule-based logic and visual planning references. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk management, and execution. This script is for educational and analytical use only and does not provide financial advice. 📚 Educational Note Use the tool to study how session high and session low reclaim behavior changes across symbols, sessions, and timeframes.
Pine Script® indicator
by AGProLabs
Mobile Wallstreet Confidence IndicatorMobile Wallstreet Confidence Indicator Most indicators lie to you. They fire signals on every candle, flood your chart with noise, and leave you holding the bag wondering what went wrong. This one is different. The Mobile Wallstreet Confidence Indicator was engineered to stay silent until the market is genuinely ready — and when it fires, you'll know exactly why and exactly how confident the setup is. HOW IT WORKS Every signal passes through a strict 6-layer filter system before a single arrow appears on your chart: 1. Multi-Timeframe Stack (M15 / H1 / H4 / D1) The indicator reads all four timeframes simultaneously using a triple EMA alignment model. You control how many must agree before a signal is even considered. No more trading against the higher timeframe trend. 2. Hull MA Momentum Gate Price must be on the correct side of a rising or falling Hull MA. If momentum isn't confirmed, the signal is blocked — full stop. 3. ATR Depth & Range Filter The market must show meaningful range and retrace depth relative to ATR. Flat, choppy, low-conviction price action gets filtered out automatically. 4. Structure Clearance Signals won't fire into overhead resistance or below key support. The indicator measures structure clearance in ATR units so it adapts to every market and every volatility environment. 5. Pattern Rank (0–10) Each setup is scored across 5 criteria — EMA alignment, RSI momentum, structure break, candle body strength, and price position. Only setups above your minimum rank threshold make the cut. 6. Confidence Score (0–100) Every signal comes with a live confidence score weighted across MTF agreement, trend alignment, Hull momentum, RSI strength, and pattern rank. You see the number. You decide your conviction. WHAT YOU GET ON THE CHART 🟢 BUY arrow — all layers aligned bullish, confidence threshold met 🔴 SELL arrow — all layers aligned bearish, confidence threshold met 📊 MTF Dashboard — live top-right panel showing M15 / H1 / H4 / D1 direction, bull/bear counts, confidence scores, pattern ranks, and a plain-English status message telling you exactly what the market is waiting on 🏷️ Signal Labels — confidence score and pattern rank printed directly on every arrow so you never have to guess signal quality FULLY CUSTOMIZABLE Every parameter is adjustable to fit your trading style: Execution timeframe Fast / Slow EMA periods Hull MA period ATR period Number of MTF timeframes required to agree Minimum confidence score threshold Minimum pattern rank threshold Retrace depth multiplier Structure clearance multiplier Structure lookback window Toggle new signals only, labels, and dashboard on/off BUILT-IN ALERTS Set TradingView alerts on BUY and SELL signals and never miss a setup — whether you're watching the screen or not. WHO THIS IS FOR This indicator is for traders who are done with noise. If you want a tool that thinks before it speaks, filters relentlessly, and gives you full transparency on every signal it generates — this was built for you. Swing traders. Day traders. Multi-timeframe operators. Anyone who trades with a plan. Mobile Wallstreet. Confidence on every candle.
Pine Script® indicator
by DrLexWilson
J.TRADER - Premium Trend Sniper V.05J.TRADER - Premium Trend Sniper V.05 ระบบอินดิเคเตอร์ช่วยวิเคราะห์แนวโน้มและวางแผนเทรดสำหรับ XAUUSD / Forex / Indices โดยออกแบบมาเพื่อให้เทรดเดอร์เห็นภาพรวมของตลาดได้ง่ายขึ้นบนกราฟเดียว ระบบนี้พัฒนาโดย J.TRADER เพื่อใช้ประกอบการวิเคราะห์ร่วมกับ Price Action, Market Structure, SMC และการบริหารความเสี่ยง ━━━━━━━━━━━━━━━━━━━━ ฟีเจอร์หลัก ━━━━━━━━━━━━━━━━━━━━ ✅ ระบบบอกเทรนบนกราฟ แสดงสถานะตลาดเป็น UPTREND / DOWNTREND / SIDEWAY ✅ Premium Dashboard แสดงข้อมูลสำคัญแบบเรียลไทม์ ได้แก่ - ATR14 - RSI14 - MACD 15-35-9 - Stoch 9-3-3 - BB14 - EMA14 - Trend Score - Bull / Bear Power ✅ ระบบ Entry / SL / TP แสดงจุดวางแผนเทรดบนกราฟ - Entry - Stop Loss ตาม ATR14 - TP1 - TP2 - TP3 ✅ ระบบ Trend Filter ช่วยกรองทิศทางด้วย EMA14, RSI14, MACD, Stoch, BB และ VWAP เพื่อให้มองแนวโน้มได้เป็นระบบมากขึ้น ✅ Premium Visual ออกแบบโทนสีดำ-ทอง พร้อมเส้นเทรนและ Dashboard สำหรับใช้งานจริงบน TradingView ━━━━━━━━━━━━━━━━━━━━ เหมาะสำหรับ ━━━━━━━━━━━━━━━━━━━━ - เทรดเดอร์ XAUUSD - เทรดเดอร์ Forex - คนที่ต้องการระบบช่วยอ่านเทรน - คนที่ใช้ Price Action / SMC / Market Structure - คนที่ต้องการวางแผน Entry, SL, TP ให้เป็นระบบ ━━━━━━━━━━━━━━━━━━━━ วิธีใช้งานเบื้องต้น ━━━━━━━━━━━━━━━━━━━━ 1. ดูทิศทางหลักจาก Dashboard 2. ใช้ Trend Score ประกอบการตัดสินใจ 3. รอให้ราคาเกิดสัญญาณตามระบบ 4. วางแผน Entry / SL / TP ตามจุดที่อินดิเคเตอร์แสดง 5. ใช้ร่วมกับแนวรับ แนวต้าน Demand Supply และ Price Action ━━━━━━━━━━━━━━━━━━━━ การเข้าถึงสคริปต์ ━━━━━━━━━━━━━━━━━━━━ สคริปต์นี้เป็นระบบ Invite-only สำหรับสมาชิก J.TRADER Premium เท่านั้น ผู้ที่ต้องการใช้งานจำเป็นต้องได้รับสิทธิ์จากทีมงานก่อน โดยแจ้ง TradingView Username ให้ทีมงานตรวจสอบและเปิดสิทธิ์ใช้งาน ━━━━━━━━━━━━━━━━━━━━ Risk Disclaimer ━━━━━━━━━━━━━━━━━━━━ อินดิเคเตอร์นี้เป็นเครื่องมือช่วยวิเคราะห์เท่านั้น ไม่ใช่คำแนะนำการลงทุน และไม่สามารถรับประกันผลกำไรได้ การเทรด Forex, Gold และสินทรัพย์ทางการเงินมีความเสี่ยงสูง ผู้ใช้งานควรบริหารความเสี่ยงทุกครั้ง และตัดสินใจลงทุนด้วยตนเอง J.TRADER ไม่รับประกันผลลัพธ์จากการใช้งานอินดิเคเตอร์นี้
Pine Script® indicator
by Trader_j_official
Sideways Market Trading Strategy - BB Setup John BollingerWhat the indicator does: Plots two BBs simultaneously on the same chart BB1 (2 standard deviations) — inner bands, with a more visible blue fill BB2 (3 standard deviations) — outer bands, with a more transparent blue fill The base (20-period EMA) is visually shared since the parameters are the same The indicator uses two overlapping Bollinger Bands to identify buy and sell zones in sideways markets (markets without a clear trend). The logic is simple: when the price touches or breaks through the outer bands (3 standard deviations), there is a higher probability of a reversal back toward the center. The inner bands (2 standard deviations) serve as exit targets. How to use the indicator: Sell (Short): When the price touches or closes above the upper band of Deviation 3, the market is considered overbought. The exit target is the upper band of Deviation 2 or the 20-period EMA. Buy (Long): When the price touches or closes below the lower band of Deviation 3, the market is considered oversold. The exit target is the lower band of Deviation 2 or the 20-period EMA. Sideways market confirmation: the indicator works best when the bands are parallel and moving horizontally—a sign that there is no strong trend. In strong trends, the price may “traverse” the bands without reversing, so use it with a trend filter such as ADX or EMA slope if desired. Suggested stop: above/below the high/low of the entry candle, outside the Deviation 3 band. It is best to use it in combination with oscillators RSI MACD Slow Stochastic ADX
Pine Script® indicator
by easyMarkets
Sideways Market Trading Strategy - BB Setup 9. 1 Larry WilliamsWhat the indicator does: Plots two BBs simultaneously on the same chart BB1 (2 standard deviations) — inner bands, with a more visible blue fill BB2 (3 standard deviations) — outer bands, with a more transparent blue fill The base (20-period EMA) is visually shared since the parameters are the same The indicator uses two overlapping Bollinger Bands to identify buy and sell zones in sideways markets (markets without a clear trend). The logic is simple: when the price touches or breaks through the outer bands (3 standard deviations), there is a higher probability of a reversal back toward the center. The inner bands (2 standard deviations) serve as exit targets. How to use the indicator: Sell (Short): When the price touches or closes above the upper band of Deviation 3, the market is considered overbought. The exit target is the upper band of Deviation 2 or the 20-period EMA. Buy (Long): When the price touches or closes below the lower band of Deviation 3, the market is considered oversold. The exit target is the lower band of Deviation 2 or the 20-period EMA. Sideways market confirmation: the indicator works best when the bands are parallel and moving horizontally—a sign that there is no strong trend. In strong trends, the price may “traverse” the bands without reversing, so use it with a trend filter such as ADX or EMA slope if desired. Suggested stop: above/below the high/low of the entry candle, outside the Deviation 3 band. It is best to use it in combination with oscillators RSI MACD Slow Stochastic ADX
Pine Script® indicator
by easyMarkets
Confluence Engine Strategy [JOAT]Confluence Engine Strategy Overview Confluence Engine Strategy is a fully automated Pine Script v6 strategy that combines four independent signal layers into a single numeric confluence score (0–100) before executing any trade. Entries require genuine agreement between linear regression momentum, dual EMA trend regime, ATR volatility state, and higher-timeframe bias. All exits are ATR-proportional with configurable take-profit and stop-loss multiples, plus a bar-based timeout and a trend-flip emergency exit. Commission (0.05% per side) and slippage (2 ticks) are configured for realistic backtesting. Why Require Confluence? Single-condition strategies (e.g., "go long when RSI crosses 50") produce entries in every conceivable market environment — ranging, trending, low-volatility, high-volatility — most of which are statistically unfavourable for that signal type. Requiring multiple independent conditions to agree simultaneously filters the entry universe down to the high-probability subset where each individual indicator is operating in its most favourable context. The Confluence Engine makes this filtering explicit and auditable through a numeric score. Signal Layer 1 — Linear Regression Crossover The primary entry trigger mirrors the Regression Flux Candles logic: a 21-bar linear regression of close (LR close) crossing above/below an 8-bar SMA of itself. The LR approach de-noises price before computing the crossover, significantly reducing the whipsaw rate compared to raw close-based SMA crossovers. Signal Layer 2 — Dual EMA Trend Regime Two exponential moving averages (fast: 21-period, slow: 55-period) define the trend regime. Long entries are only considered when the fast EMA is above the slow EMA; short entries only when fast is below slow. This prevents the LR crossover from triggering counter-trend entries in established trends — one of the most common sources of false signals in momentum strategies. Signal Layer 3 — ATR Volatility State The current 14-bar ATR is compared to a 50-bar ATR. Entries are only accepted when the current ATR is above a configurable fraction of the slow ATR (default 0.7). This volatility gate blocks trades during compression phases — low-volatility periods where breakouts frequently fail. The strategy only participates when directional energy is present. Signal Layer 4 — Higher-Timeframe Bias A higher-timeframe linear regression direction is fetched via request.security() with lookahead_off. The HTF LR close vs. HTF LR open comparison gives a single bullish/bearish vote from the higher timeframe. Long entries receive a confluence bonus when the HTF agrees; short entries receive a bonus when the HTF is bearish. This aligns trade direction with the prevailing macro bias. Confluence Score and Threshold Each of the four layers contributes points to the confluence score: - LR crossover in direction: +30 - Dual EMA alignment: +25 - ATR volatility expansion: +20 - HTF bias alignment: +25 Maximum score: 100. The minimum required score to execute an entry (default 60) filters out entries where fewer than three layers agree. This threshold is adjustable — lower it for more signals, raise it for higher selectivity. Entry Logic Long: LR crossover up AND the accumulated confluence score >= minimum AND the signal is on a confirmed bar AND warmup has elapsed AND no position is currently open AND no cooldown bars remain. Short: LR crossover down AND confluence >= minimum AND same guards. A configurable cooldown period (default 5 bars) prevents re-entering the same direction immediately after an exit, avoiding overtrading in choppy conditions. Exit Logic — Four Exit Conditions 1. ATR Take-Profit: Long exits when close >= entry + ATR × TP multiplier (default 2.0). Short exits below entry - ATR × TP. 2. ATR Stop-Loss: Long exits when close <= entry - ATR × SL multiplier (default 1.2). Short exits above entry + ATR × SL. 3. Bar Timeout: If neither TP nor SL is hit within a configurable number of bars (default 20), the trade exits at market — preventing capital from being locked in stalled trades. 4. Trend Flip Exit: If the dual EMA regime flips against the trade direction (fast EMA crosses slow EMA), the trade exits immediately — recognising that the structural basis for the entry has been invalidated. Strategy Properties - Initial capital: $10,000 - Order size: 10% of equity per trade (sustainable risk allocation) - Commission: 0.05% per side (representative of major exchange fees) - Slippage: 2 ticks (accounts for spread and execution delay) - Currency: USD - Pyramiding: disabled (one position at a time) These settings are designed to produce realistic backtesting results. Risk per trade is capped well below the 5–10% equity guideline. Commission and slippage are included to prevent overstating performance. Inputs Reference Signal Layers - LR Length (21) — linear regression period - Signal SMA Length (8) — crossover trigger SMA - Fast EMA (21) / Slow EMA (55) — trend regime definition - ATR Length (14) / ATR Slow Length (50) / ATR Threshold (0.70) - HTF Timeframe — higher-timeframe bias source (default "D") Confluence & Filters - Min Confluence Score (60) — minimum sum of layer scores required for entry - Cooldown Bars (5) — bars to wait after exit before re-entering - Max Bars in Trade (20) — timeout exit Risk Management - TP ATR Multiple (2.0) — take-profit distance in ATR units - SL ATR Multiple (1.2) — stop-loss distance in ATR units How to Read the Results Apply the strategy to a liquid instrument on a 1H or 4H chart with sufficient history to generate 100+ trades. Evaluate: - Net profit relative to max drawdown (seek ratio > 2:1) - Win rate in context of average win vs. average loss - Profit factor (total gross profit / total gross loss, seek > 1.3) - Number of trades (sufficient sample size for statistical inference) Adjust the confluence minimum score to trade off signal frequency against quality: 50 produces more trades, 75 produces fewer but higher-quality entries. Non-Repainting Design All entries fire on strategy.entry() within barstate.isconfirmed blocks. HTF bias uses lookahead_off. No future bar data is accessed. Historical signals do not shift position. Limitations - The strategy is designed as a general-purpose framework. It is not optimised for any specific instrument or session. Optimal parameters vary significantly across markets and timeframes. - ATR-based exits are approximate. In gap markets (equities overnight, weekend gaps on crypto), the stop-loss may be exceeded significantly before the exit executes. - Backtesting results are computed on historical data only and do not account for execution quality, broker-specific fees, or market impact. Past backtesting performance does not guarantee future live results. - The bar timeout exit may prematurely close positions that would have eventually reached TP. This is a deliberate conservative design choice to limit capital lock-up, not a flaw. Disclaimer This strategy is provided for educational and informational purposes only. Backtesting results presented in the strategy tester represent historical simulation and do not guarantee any future trading outcome. Past performance is not indicative of future results. Never risk capital you cannot afford to lose. Always use proper risk management and conduct independent analysis before making any trading decisions. Made with passion by officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
Prism Channel Architecture [JOAT]Prism Channel Architecture Introduction Prism Channel Architecture is a dual-channel overlay indicator that layers two mathematically distinct structural frameworks onto your price chart simultaneously: a best-fit Pivot Channel derived from actual price pivot points, and a Linear Regression Channel built from statistical least-squares fitting. Together they create a structural prism through which trend direction, channel quality, and breakout momentum can be evaluated from multiple angles at once. Most channel tools force you to choose between objectivity and responsiveness. Pivot channels adapt to real market structure but can lag. Regression channels are statistically rigorous but ignore actual swing highs and lows. PCA runs both engines in parallel and highlights the moments when they agree — bull alignment and bear alignment states — as the highest-conviction reads in the system. Core Concepts Pivot Channel Fitting The indicator collects up to a configurable maximum of confirmed pivot highs and pivot lows using TradingView's built-in pivot functions: float pivHigh = ta.pivothigh(high, pivLeft, pivRight) float pivLow = ta.pivotlow( low, pivLeft, pivRight) From those stored pivot arrays, it searches for the best pair of recent pivot highs to fit the upper channel boundary, and the best pair of recent pivot lows to fit the lower channel boundary. The quality score for each candidate pair is computed by checking how many of the recent bars were actually contained below the upper line (or above the lower line) within an ATR tolerance: for k = 0 to checks - 1 float lineY = linePrice(x2, y2, x1, y1, bar_index - k) if high <= lineY + atrVal * 0.3 contained += 1 float q = safeDiv(float(contained), float(checks), 0.0) The pair with the highest containment ratio wins and becomes the drawn channel. This means the upper channel line is always the tightest valid resistance line through recent pivot highs, not an arbitrary parallel projection. Linear Regression Channel The regression channel computes a full manual least-squares fit over the lookback window, producing slope, intercept, and residual standard deviation: float slope = safeDiv(n * sumXY - sumX * sumY, n * sumXSq - sumX * sumX, 0.0) float intc = safeDiv(sumY - slope * sumX, n, close) float stdDev = math.sqrt(safeDiv(ssRes, n, 0.0)) The upper and lower bands are drawn at `stdDev × Deviation Multiplier` distance from the regression midline, giving bands that are statistically calibrated to the actual spread of price around the trend. Color shifts from bull to bear when slope changes sign. Channel Alignment Confluence The system declares a Bull Alignment when both channels simultaneously agree price is in a bullish position — the regression slope is rising AND price is above the regression midline, AND price is in the upper half of the pivot channel (between the midline and the upper band): bool lrBull = close > midNow and slope > 0.0 bool pivBull = close > uMid and close < uNow bool alignBull = lrBull and pivBull This confluence state is highlighted with a subtle background color — a quiet but meaningful signal that two independent structural frameworks are pointing in the same direction. ATR-Based Breakout Detection Breakout signals fire when price moves more than a configurable ATR multiple beyond the prior bar, provided the regression slope confirms direction: bool brkUp = ta.crossover(close, close + crossTol * atrVal) and lrSlope > 0.0 bool brkDn = ta.crossunder(close, close - crossTol * atrVal) and lrSlope < 0.0 Breakout labels (▲ BRK / ▼ BRK) appear above or below the breakout bar and are alert-enabled. Features Pivot Channel — best-fit upper/lower boundaries through recent pivot highs/lows, quality-scored by containment ratio Regression Channel — least-squares midline with statistically calibrated deviation bands, auto-colored by slope direction Channel midline — dashed neutral midline bisecting the pivot channel for zone positioning Bull and Bear Alignment detection — background highlight when both channels agree on direction ATR-normalized breakout labels — ▲ BRK and ▼ BRK when price breaks out with trend confirmation Channel Quality score — displayed in dashboard as percentage of recent bars contained Pivot position classification — Bull Zone (upper half) or Bear Zone (lower half) Up to 40 pivot highs and 40 pivot lows stored and evaluated 10-bar channel projection extended to the right of the last bar Dashboard: LR direction, deviation mult, pivot quality, pivot position, alignment, breakout, ATR, pivot count Alerts for bullish breakout, bearish breakout, bull alignment, and bear alignment Webhook JSON alert format Watermark Input Parameters Pivot Channel Pivot Lookback Left — bars to the left required to confirm a pivot high or low (default 10) Pivot Lookback Right — bars to the right required to confirm a pivot high or low (default 5) Max Pivots Stored — maximum number of pivot highs and lows held in memory (default 30) Quality Check Length — number of recent bars used to score channel containment (default 20) Breakout ATR Mult — ATR multiplier threshold for breakout label generation (default 1.5) Show Pivot Channel — toggle the pivot channel lines on/off Regression Channel Regression Length — bars used in the least-squares fit (default 50) Deviation Mult — standard deviation multiplier for band width (default 2.0) Show Regression Channel — toggle the regression channel lines and fill on/off ATR Settings ATR Length — lookback for ATR calculation used in breakout detection and containment tolerance (default 14) Visuals Bull Color — color for uptrending channels and bullish labels Bear Color — color for downtrending channels and bearish labels Neutral Color — color for channel midlines and neutral dashboard text Show Dashboard — compact structural summary panel Show Watermark Show Breakout Labels — toggle ▲ BRK / ▼ BRK label markers Alerts Webhook JSON Format — switches alert messages to JSON format for automation pipelines How to Use Add PCA to your chart as a main-pane overlay indicator. Let the chart load enough history so both channels initialize. A warmup period of at least 60 bars is enforced before channels begin drawing. Use the Regression Channel to assess macro trend direction. If the midline slope is rising and price is above it, the macro environment is bullish. Use the Pivot Channel to identify the structural support and resistance boundaries formed by actual price pivots. The upper pivot line is the tightest valid resistance. The lower pivot line is the strongest structural support. Watch for Bull Alignment (cyan background) when both systems agree price is in a bullish structural position. This is the highest-conviction environment for long setups. Watch for Bear Alignment (red background) for bearish structural setups. Treat Breakout labels as momentum confirmation signals — they only fire when an ATR-significant price move occurs in the direction of the regression slope. Check the Pivot Quality score in the dashboard. A quality above 65% means the channels are actively containing price well. Below 40% means the channel fit is loose and breakouts are less reliable. Indicator Limitations Pivot channel fitting evaluates only the 8 most recent pivot highs and the 8 most recent pivot lows when searching for the best pair. In very choppy markets with many closely-spaced pivots, the fitted channel may appear narrow or erratic. The regression channel is recalculated on every bar over a fixed lookback window. It will repaint the past visually as new bars are added — the channel reflects the lookback window ending at the current bar, not a fixed historical period. Channel quality scores can be artificially high in low-volatility trending conditions where price barely touches the edges of the channel. Breakout signals require both an ATR threshold move AND a confirming regression slope. In sideways markets the slope condition filters out most breakout candidates, which may lead to missed signals on genuine horizontal range breaks. Originality Statement Prism Channel Architecture is an original Pine Script v6 publication. The dual-engine architecture combining a quality-scored best-fit pivot channel with an independently computed least-squares regression channel, and the definition of alignment confluence as agreement between those two distinct structural systems, is an original design. The pivot quality scoring methodology — measuring the containment ratio of recent bars within the candidate channel bounds with ATR tolerance — is an original technique not derived from any existing published indicator. Disclaimer This indicator is for educational and informational purposes only. Channels, alignment states, and breakout labels are analytical tools and do not constitute financial advice. Channel boundaries can and will be violated without warning. Always apply proper risk management and never trade solely based on indicator signals. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Solstice Fibonacci Engine [JOAT]Solstice Fibonacci Engine Introduction The Solstice Fibonacci Engine is a fully automatic Fibonacci retracement and extension tool built for traders who want institutional-grade price levels drawn on their chart without the tedium of manually dragging anchor points. It detects the dominant swing high and swing low within your currently visible chart range, recalculates every time you scroll or zoom, and renders the complete Fibonacci suite — retracements from 0% to 100% and extensions to -100% — in a single, clean overlay. The engine is purpose-built around two price zones that institutional order flow traders treat as highest-probability areas: the OTE (Optimal Trade Entry) zone from 61.8% to 78.6% retracement, and the Target Zone from -50% to -61.8% extension. These zones are shaded and labeled automatically, with TP1 through TP4 labels placed at the key confluence levels that align with those areas, giving you a ready-made trade management framework the moment any new swing is established. Core Concepts Visible Range Swing Detection Unlike most Fibonacci tools that require manual anchoring or use fixed lookback lengths, Solstice tracks the swing high and swing low within the portion of the chart you are actually looking at: int visLeft = int(chart.left_visible_bar_time) int visRight = int(chart.right_visible_bar_time) bool isVis = time >= visLeft and time <= visRight if isVis if na(swHi) or high > swHi swHi := high swHiBar := bar_index if na(swLo) or low < swLo swLo := low swLoBar := bar_index When you scroll left or right the swing resets instantly to reflect your new visible window. This makes the tool behave like a dynamic Fibonacci that always measures the most contextually relevant move — the one you are actually analyzing. Trend Direction from Swing Sequence The engine determines whether price is in an uptrend or downtrend by comparing the bar index of the swing high against the bar index of the swing low: bool trendUp = nz(swLoBar, 0) < nz(swHiBar, 0) If the swing low came first (left) and the swing high came after (right), price moved up — so retracement levels are drawn from the top down. If the swing high came first, price moved down and levels are drawn from the bottom up. This single boolean drives whether TP1–TP4 labels are placed above or below current price. OTE Zone — 61.8% to 78.6% The Optimal Trade Entry zone marks the golden pocket of Fibonacci retracement theory. Price returning into this band after a clean impulsive move often finds the institutional order flow that originally created the swing: if showOTE fibZone(color.new(oteClr, 90), 61.8, 78.6, trendUp, bar_index - 2, lx, swHi, swLo, "OTE ZONE") The zone is rendered as a shaded box extending to the right of the last visible bar, keeping it visible as new bars form. An alert fires on bar close the first time price enters this zone after it was outside it. Target Zone — -50% to -61.8% Extension The Target Zone marks the take-profit extension area beyond the 0% level: if showTgt fibZone(color.new(tgtClr, 90), -50.0, -61.8, trendUp, bar_index - 2, lx, swHi, swLo, "TARGET ZONE") When price has retraced into the OTE and reversed, the -50% to -61.8% extension zone becomes the natural profit target objective — where the move typically exhausts before the next consolidation. TP1–TP4 Trade Management Labels Four take-profit labels are placed at the levels that define a complete trade management plan from entry to full profit-taking: | Label | Level | Meaning | |-------|-------|---------| | TP1 | 38.2% | First objective — scalp or partial close | | TP2 | 0% | Full return to the original swing point | | TP3 | -27.2% | First extension beyond the swing | | TP4 | -61.8% | Deep extension — full target zone | Features Auto swing detection from visible chart range — no manual anchoring required Dynamic recalculation on every chart scroll or zoom Full Fibonacci suite: 0%, 23.6%, 38.2%, 50%, 61.8%, 70.6%, 78.6%, 100%, -27.2%, -50%, -61.8%, -100%, 150%, 200% Per-level toggle switches — show only the levels you want OTE Zone (61.8%–78.6%) shaded box with right-extension Target Zone (-50% to -61.8%) shaded box with right-extension TP1–TP4 labels with optional percentage labels on every level Optional swing diagonal line from anchor to anchor Dashboard showing swing trend, zone touch status, swing high/low, and range Auto dark/light theme detection Alerts fire on confirmed bar close when price enters OTE or Target Zone Webhook JSON alert format for automation Watermark Input Parameters Main Settings Show All Elements — master toggle for all drawing objects Show Swing Diagonal Line — draws a line connecting the two swing anchor points Line Width — 1 to 5 pixels Line Style — Solid, Dashed, or Dotted Label Offset (bars) — how far to the right labels are placed beyond the last bar Fibonacci Levels Individual toggles for each level: 0%, 23.6%, 38.2%, 50%, 61.8%, 70.6%, 78.6%, 100%, -27.2%, -50%, -61.8%, -100%, 150%, 200% Zones and Targets Show OTE Zone — toggles the 61.8%–78.6% shaded box Show Target Zone — toggles the -50% to -61.8% shaded box Show Zone Labels — text inside zone boxes Show TP1–TP4 Labels — take-profit label markers Show Level % Labels — percentage text on every drawn level line Visual Settings Theme — Auto (reads chart background), Dark, or Light Show Dashboard — compact panel showing current swing readings Dashboard Position — Top Left, Top Right, Bottom Left, Bottom Right Show Watermark Webhook JSON — switches alerts to machine-readable JSON format Colors Fib Lines — color for all retracement/extension level lines OTE Zone — fill color for the OTE box Target Zone — fill color for the Target Zone box How to Use Add the indicator to any chart on any timeframe — it automatically maps to your current visible range. Zoom or scroll your chart to frame the impulsive swing you want to analyze. The Fibonacci grid recalculates to match. Look for price to retrace into the OTE Zone (gold band between 61.8% and 78.6%). This is the institutional entry area. When price reverses out of the OTE zone, monitor the TP1 label at 38.2% for partial profits, TP2 at 0% for full return to the swing origin, and TP3/TP4 in the Target Zone for extended runners. Set the OTE Zone and Target Zone alerts to receive notifications when price enters either area on bar close. Enable percentage labels if you need to confirm exact level values for manual entries. Indicator Limitations The swing is determined by the highest high and lowest low within the visible range only — it does not use a structural pivot detection algorithm. On heavily zoomed-out charts, the swing might span an unusually long period. Fibonacci levels are mathematical retracements of the detected swing range. They are areas of interest, not guaranteed reversal zones. Always combine with your own confluence analysis. The OTE and Target Zone alerts trigger only on the first bar close when price enters the zone from outside. If price exits and re-enters, a new alert fires. Retracement drawing regenerates on every bar close at the last bar. On very high-resolution timeframes with large numbers of active objects, this can approach TradingView drawing limits. Originality Statement The Solstice Fibonacci Engine is an original Pine Script v6 implementation. Its use of chart.left_visible_bar_time and chart.right_visible_bar_time for dynamic visible-range swing detection is a novel approach that produces a self-adjusting Fibonacci tool with no manual intervention. The OTE and Target Zone framework, TP1–TP4 label system, and scroll-responsive recalculation are original design decisions made specifically for this publication. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Fibonacci levels are areas of potential price reaction, not certainties. Past Fibonacci confluence does not guarantee future performance. Always use proper risk management and consult a licensed financial professional before trading. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Convergence Protocol [JOAT] Convergence Protocol Introduction Convergence Protocol is an open-source strategy that combines four analytical modules — structural trend, volatility regime, delta pressure, and liquidity/structure break detection — into a multi-pathway entry and exit system. The strategy generates trade signals through five independent entry mechanisms, each requiring alignment between different analytical dimensions, and manages positions with ATR-based stops, dual take-profit levels, and an optional trailing stop that activates after the first target is reached. The design rationale for combining these four modules is that each answers a different question about the market. Structure and trend analysis answers: what direction is the market likely to move? Volatility regime answers: does the market have the energy to sustain a directional move? Delta pressure answers: is volume supporting the proposed direction? Liquidity and structure break detection answers: has the market made a meaningful structural commitment that confirms directional intent? No single module alone provides a robust enough basis for a trade. Convergence across multiple modules provides a higher-quality signal set that reduces the frequency of marginal trades while maintaining enough opportunities to be practical. Strategy Properties and Backtesting Settings Default settings used for publication: Initial Capital: Default TradingView account size Position Size: 5% of equity per trade Commission: 0.04% per side (realistic for most crypto and equity platforms) Slippage: 1 tick Risk Per Trade: 5% of equity maximum (within sustainable limits) Stop Loss: 1.5x ATR from entry TP1: 1.2x risk (50% of position closed) TP2: 2.5x risk (remaining position) Trailing Stop: 1.0x ATR trailing offset, activates after TP1 hit Backtesting results will vary significantly by instrument and timeframe. This strategy is intended to be evaluated across multiple instruments and market conditions before drawing conclusions. A single backtest run does not constitute evidence of future performance. Core Modules Module 1: Structural Trend Engine The baseline uses a double-smoothed moving average (SMEMA). Swing highs and lows are tracked to classify market structure as bullish (HH+HL), bearish (LH+LL), or neutral. A 0-7 confluence score is assembled from: regime direction, structural alignment, volatility expansion, absence of squeeze, delta pressure, structure break confirmation, and liquidity sweep confirmation. Each module contributes a binary point to the score. Module 2: Volatility Regime Short-period ATR is compared to long-period ATR. A ratio above 1.05 with a rising oscillator confirms volatility expansion — the market has enough energy for directional moves. A squeeze condition (fast ATR well below slow ATR and its own moving average) signals that the market is coiling; entries are filtered or blocked depending on settings. Module 3: Delta Pressure Bar-by-bar delta (positive on bullish bars, negative on bearish bars) is smoothed into fast and slow EMAs. Their cross and relative position provide a directional bias from the volume perspective. Module 4: Liquidity and Structure A break of structure (BOS) is confirmed when price closes beyond the most recent pivot in any direction on a confirmed bar. Liquidity sweeps are detected when price wicks beyond a prior swing and closes back on the correct side. Both conditions contribute to the confluence score. Entry Mechanisms 1. Confluence Score Entry All four modules must be aligned and score at or above the minimum threshold (default: 2 of 7). This is the primary high-conviction entry. 2. Baseline Pullback Entry In an established trend (regime confirmed), when price returns to within the step band of the baseline with positive delta confirmation, a pullback entry is generated. This produces more frequent entries by adding trend-continuation trades within an established directional move. 3. Squeeze Breakout Entry When a detected squeeze condition resolves (squeeze ends) with trend and delta alignment, a breakout entry fires. This targets the expansion phase immediately following volatility compression. 4. Delta Crossover Entry When the fast delta EMA crosses above the slow delta EMA in the direction of the regime, and the market is not in a squeeze, a momentum entry is generated. 5. Sweep Reversal Entry When a liquidity sweep occurs with confirming delta pressure, a reversal entry is generated in the direction of the sweep reversal. This targets the classic sweep-and-go pattern. Exit Logic TP1: 50% of position closed at 1.2× risk. Locks in partial profit and reduces position size for the remainder of the trade TP2: Remaining 50% targets 2.5× risk with a hard stop at the original stop level Trailing Stop: After TP1 is hit, the strategy optionally converts to a trailing stop with an ATR-based offset, allowing the winning portion of the trade to capture extended moves Regime Exit: If the market regime flips against the position (bullish regime while short, or bearish regime while long), the position is closed at market. This protects against holding trades through structural regime reversals Limitations and Considerations The strategy uses OHLCV-based calculations throughout. It does not have access to tick data, order book information, or real-time execution data that institutional traders use Backtesting results are inherently optimistic due to perfect execution assumed at bar close prices. Real-world execution will differ The five entry mechanisms produce different trade frequencies. Users should evaluate each mechanism independently in backtesting before enabling all simultaneously The regime change exit can produce early exits in choppy markets where the regime briefly flips before resuming the original direction The trailing stop activation after TP1 is a fixed ATR offset from the highest/lowest price reached. It does not adapt to subsequent volatility changes during the trade The strategy is designed for trending markets. In persistent ranging environments, the confluence score-based entries will underperform because the regime module will frequently return a Ranging classification, suppressing primary entries Commission and slippage settings in the strategy Properties should be adjusted to match the actual costs on the instrument and broker being used before drawing any performance conclusions Originality Statement This strategy is original in its specific multi-pathway entry architecture and the unified 0-7 confluence scoring system that synthesizes structural, volatility, delta, and liquidity analysis into a single conviction metric. Each of the five entry pathways serves a distinct market condition: confluence entries target high-alignment setups; pullback entries target trend continuation in established moves; squeeze breakout entries target volatility expansion transitions; delta crossover entries target momentum initiation; sweep reversal entries target institutional accumulation/distribution patterns. No single existing strategy approach covers all five scenarios. The combination is justified because these five market conditions occur at different points in the market cycle, and a strategy limited to one condition type will sit idle during the other four. Disclaimer This strategy is provided for educational and informational purposes only. Past backtest results do not guarantee future performance. No backtesting result should be interpreted as evidence that this strategy will be profitable in live trading. Markets change, and conditions that produced past results may not recur. The strategy does not account for taxes, broker requirements, or psychological factors in live trading. Always use proper risk management and consult with a qualified financial professional before making any investment decisions. The author is not responsible for any losses incurred from using this strategy. -Made with passion by officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
Candle Volume Architecture [JOAT] Candle Volume Architecture Introduction Candle Volume Architecture is an overlay indicator that constructs a price-based volume distribution profile for each detected swing, identifies the Point of Control (the price level with the highest bar density within that swing), calculates a configurable Value Area (default 70% of distribution), and renders these findings as a visual volume architecture directly on the price chart. Unlike traditional Volume Profile tools that require fixed time periods or session boundaries, this indicator auto-detects swings from price action and builds its distribution profile dynamically around each structural move. Volume Profile is a professional tool used to identify price levels with the highest historical trading interest. The Point of Control is the level within any period where the most trading occurred — it functions as a gravitational center that price tends to revisit. The Value Area contains the majority of trading activity and often provides support and resistance as price moves away from and returns to it. This indicator applies these concepts to auto-detected price swings rather than calendar periods, aligning the profile with actual market structure rather than arbitrary time divisions. Core Concepts 1. Swing Detection Swings are detected by tracking when price makes a new extreme and then retreats. An upper swing is confirmed when the prior bar's high matched the N-bar highest high, but the current bar fails to match — indicating the swing high has been set. The same logic applies to lower swings. This produces swing high and low markers that update as new extremes form. 2. Volume Distribution Profile When a swing direction change is detected (bull to bear or bear to bull), the prior swing's price range is divided into a configurable number of bins (default 24). Each bin is populated by counting how many bars within the swing had their closing price fall within that bin's price range. The bin with the highest count becomes the Point of Control. bin_size = (real_top - real_bot) / i_bins for j = 0 to bars_in_range idx = int((close - real_bot) / bin_size) bins_count.set(idx, bins_count.get(idx) + 1) 3. Point of Control (POC) The POC is the bin with the highest bar count. It is rendered as a dual-width line (thin solid + thick shadow) that extends forward in time, providing a live reference for where the most concentrated activity occurred in the last swing. 4. Value Area Calculation Starting from the POC, the Value Area expands outward, adding the next highest-count bin on either side until the cumulative count reaches the configured percentage of total bars (default 70%). The Value Area is rendered as a transparent box covering the identified price range. 5. Profile Bin Visualization Each bin is rendered as a box whose right edge extends proportionally to its bar count (wider = more activity). Opacity scales with count, so the POC bin is fully opaque and low-count bins are more transparent. This produces a horizontal bar chart appearance directly on the price chart. Features Auto-Detected Swing Profiles: Profile builds and renders at each swing direction change Point of Control Line: Dual-width shadow line extending from each swing, updated to current bar Value Area Box: Transparent zone covering the configurable percentage of swing volume Opacity-Scaled Bin Bars: Visual profile bars with count-proportional width and transparency Swing Range Outline: Dashed box delineating each swing's high-to-low range Live Swing Direction Line: Current swing trend line drawn on the last bar POC Proximity Detection: Dashboard highlights when price is within 0.3 ATR of the active POC 8-Row Dashboard: Swing trend, POC level, swing high/low, swing range, POC bias Input Parameters Swing Length: N-bar highest/lowest lookback for swing detection (default: 80) Profile Bins: Number of price bins in the distribution (default: 24) POC Line Width: Width of the POC rendering line (default: 2) Value Area %: Percentage of distribution to include in the Value Area (default: 70%) Show Profiles: Filter to bull only, bear only, both, or none How to Use This Indicator POC as Reference The active POC line represents the most contested price level of the last swing. Price frequently revisits this level. When price is above the POC, the POC functions as potential support. When price is below, potential resistance. Value Area as Context Price outside the Value Area (above VAH or below VAL) represents a less-active price zone. Moves outside the Value Area that fail to hold can return toward the Value Area. Sustained acceptance outside the Value Area suggests a new distribution is forming. Profile Shape for Sentiment A profile that is skewed toward the top of its range (POC near the high) suggests the swing was dominated by higher-price acceptance — bullish distribution. A POC near the swing low suggests bearish distribution. Limitations The distribution is built from closing prices within the swing range, not from actual volume at price. This is a close approximation but differs from true Volume Profile tools that use tick data The swing detection requires a minimum of swing-length bars before the first profile is generated On very fast timeframes (1 minute or lower), the swing lengths may be too short to produce meaningful distributions The maximum bars in range cap (500 bars) prevents the profile builder from analyzing excessively long swings that could cause performance issues Originality Statement Applying Volume Profile methodology to auto-detected price swings rather than fixed calendar periods produces profiles that are structurally relevant rather than time-arbitrary. The opacity-scaled bin rendering produces an intuitive visual representation where the most active levels are immediately obvious. The real-time POC proximity detection in the dashboard provides an active alert when price approaches the most significant level of the last swing. Disclaimer This indicator is for educational and informational purposes only. The distribution profiles are approximations built from close price counts, not true order flow data. Point of Control and Value Area levels are historical references and do not guarantee future price reactions. Always apply proper risk management. -Made with passion by officialjackofalltrades
Pine Script® indicator
by officialjackofalltrades
4
Aegis Quantum Energy Band [wjdtks255]Aegis Quantum Energy Band : High-Volatility Breakout System ■ OVERVIEW Aegis Quantum Energy Band is a volatility-based breakout framework that utilizes a hybrid envelope system to identify institutional entry points. By integrating Standard Deviation Bands with a Volume Spike Filter, it distinguishes between market noise and high-conviction momentum shifts, ensuring traders only enter when real energy is present. ■ CORE STRATEGY Energy Confirmation: Signals are only generated when volume exceeds the average by 1.8x, confirming institutional participation. Structural Breakout Filter: Validates the strength of the breakout bar’s body to avoid "Fake-outs." Flat Market Protection: Incorporates a slope-based filter to prevent entries during low-volatility consolidation phases. Dynamic Risk Execution: Automatically calculates and plots Target (TP) and Stop (SL) levels based on ATR, providing a clear execution roadmap.
Pine Script® indicator
by wjdtks255
Adaptive Regime Momentum [JOAT]Adaptive Regime Momentum Introduction The majority of publicly available trend-following strategies rely on one of two entry mechanisms: a moving average crossover, or a price-versus-MA relationship. These are valid starting points, but they share a common weakness — they fire signals based on a single confirmatory condition that can be triggered by brief, low-conviction price moves. A single bar pushing above a moving average while volume is thin and the MA is barely sloping is not the same market condition as a sustained directional move with volume behind it and a clearly sloping MA. Yet a simple strategy would treat both identically. Adaptive Regime Momentum is a trend-following strategy that requires three independent conditions to align before generating an entry signal. These three layers — MA slope confirmation over multiple consecutive bars, price position relative to the MA, and a volume-based demand filter — must all agree simultaneously. The result is a strategy that generates fewer signals but with higher internal consistency between entry conditions. It is designed for liquid markets on daily or higher timeframes where each component is reliably measurable. This is an overlay strategy — all visuals are plotted directly on the price chart. --- Strategy Properties The following default settings are used for all backtests unless modified: Initial capital: $10,000 Position sizing: 5% of equity per trade Commission: 0.05% per side Pyramiding: 0 (only one open position at a time; new signals are ignored while a position is active) Stop loss: 2.5x ATR below the entry price (long), 2.5x ATR above the entry price (short), calculated from strategy.position_avg_price Take profit: 4.0x ATR above the entry price (long), 4.0x ATR below the entry price (short), calculated from strategy.position_avg_price Trail / slope exit: Position is closed early if price crosses to the wrong side of ComboMA ± 1.5x ATR, or if the MA slope reverses direction The stop and take profit are anchored to strategy.position_avg_price — the actual average fill price of the position — rather than the signal bar's close. This ensures that in backtesting, stop and TP distances are measured from where the trade was actually opened, not from a theoretical signal level. These are backtesting defaults only. They do not represent a recommendation for live trading position sizing or risk management. --- Core Concepts Signal 1 — ComboMA Slope Confirmation (Structural Momentum) The ComboMA is a blend of two moving averages: ALMA (Arnaud Legoux Moving Average) — a smooth MA with reduced lag, fitting to recent price without overreacting to single bars ZLMA (Zero-Lag Moving Average) — a lag-compensated MA designed to reduce the delay between price movement and MA response The two are blended into a single ComboMA value. The slope of this composite is then evaluated not just on the current bar, but across the last N consecutive bars (default: 3). A slope is only confirmed as UP if all of the last 3 bars showed a positive slope. A slope is only confirmed as DOWN if all 3 bars showed a negative slope. A single slope fluctuation — even if the most recent bar shows a positive slope — does not trigger confirmation unless all N bars agree. This multi-bar slope confirmation is the primary mechanism that distinguishes this strategy from a simple MA-based entry. A one-bar slope flip that immediately reverses is filtered out. Only a sustained slope direction triggers the first condition. Signal 2 — Price vs. ComboMA (Real-Time Confirmation) The second condition requires that price is currently on the correct side of the ComboMA: For a long: close > ComboMA For a short: close < ComboMA This condition is evaluated at the current bar, providing real-time confirmation that price is aligned with the structural slope direction. The MA slope could be upward from prior bars, but if price has already pulled back below the MA, the second condition vetoes the entry. Both the historical slope and the current price position must agree. Signal 3 — Volume RSI (Demand Pressure Validation) Volume RSI is RSI applied to raw volume over an 8-bar period, then divided by 50. A result above 1.0 (the default threshold) means the Volume RSI is above 50 — indicating that volume activity on recent bars has been relatively elevated compared to the preceding period. For a long entry: Volume RSI / 50 must exceed the threshold For a short entry: same condition applies Volume RSI does not confirm direction — it confirms participation . A move accompanied by above-average volume has more demand/supply backing than a low-volume drift. When volume is below threshold, the third condition is not met and no entry is generated, even if slope and price position align. RSI Filter An additional RSI filter is applied to the close: RSI(14) must be above 50 for long entries RSI(14) must be below 50 for short entries This acts as a momentum gating condition — confirming that short-term momentum is consistent with the trade direction before entry is permitted. Non-Repainting Execution All entry conditions are gated by barstate.isconfirmed . No signal is generated until the current bar has fully closed. This prevents intra-bar signal flickering and ensures that the backtest accurately represents what would have been traded on confirmed bar closes. --- Exit Logic The strategy uses a layered exit system combining fixed risk-defined targets with adaptive trend exits: Fixed exits (via strategy.exit): Stop loss at 2.5x ATR from entry price Take profit at 4.0x ATR from entry price Trail exits (via strategy.close): Price closes beyond ComboMA ± 1.5x ATR on the wrong side The ComboMA slope reverses (multi-bar confirmation fails in the opposite direction) The trail exit allows winning positions to exit earlier if the trend deteriorates before reaching the fixed take profit, while the fixed TP provides a defined maximum target. The stop loss is the unconditional floor regardless of trail conditions. --- ATR Shadow Visual The chart displays two layers of ATR bands around the ComboMA: Inner band: ComboMA ± 1x ATR Outer band: ComboMA ± 2x ATR These bands give a visual read of how extended price is from the MA relative to recent volatility, and where the trail exit threshold sits (1.5x ATR, between the two bands). They are visual aids only and do not affect strategy logic. --- Performance Table A table is displayed on the chart showing current strategy metrics: Net P&L Open P&L (current unrealized) Win Rate Average winning trade Average losing trade Maximum drawdown Total trades Current position direction Current MA slope status --- Features Three-layer entry confirmation: multi-bar MA slope, price vs. MA, and Volume RSI RSI momentum filter as an additional gating condition ALMA + ZLMA blend for the ComboMA, reducing lag without sacrificing smoothness Multi-bar slope confirmation preventing single-bar slope flickers from triggering entries ATR-based stop and take profit anchored to actual fill price via strategy.position_avg_price Trail exit on slope reversal or price-vs-MA breach Non-repainting: all signals confirmed via barstate.isconfirmed Pyramiding disabled — one position at a time ATR shadow bands for visual context around the ComboMA Live performance table with key metrics --- Input Parameters ALMA / ZLMA settings — length, offset, and sigma for each MA component Slope Confirm Bars (default 3) — consecutive bars of slope agreement required for confirmation Volume RSI Length (default 8) — RSI period applied to volume Volume Threshold (default 1.0) — Volume RSI / 50 minimum for the demand filter RSI Length (default 14) — RSI period for the momentum filter ATR Length — period for ATR used in stop, TP, trail, and visual bands Stop Multiplier (default 2.5) — ATR multiplier for the fixed stop loss TP Multiplier (default 4.0) — ATR multiplier for the fixed take profit Trail Multiplier (default 1.5) — ATR multiplier for the trail exit threshold --- How to Use Apply to daily or higher timeframes on liquid instruments. Volume RSI is most meaningful where volume data is consistent and representative of actual market participation. Allow the chart to load sufficient historical bars before evaluating backtest results. The ComboMA slope confirmation requires multiple bars of agreement, and early bars in the dataset may not reflect the strategy's typical behavior. Aim for at least several hundred bars of data for meaningful backtest statistics. Review the performance table while backtesting to understand average win size relative to average loss, drawdown, and total trade count. A strategy with very few trades may show favorable metrics by chance rather than edge — consider whether the trade count is sufficient to draw conclusions. The default 5% equity position size produces moderate equity curve sensitivity. Smaller sizes will reduce drawdown and return proportionally; larger sizes will amplify both. Commission is set to 0.05% per side (0.1% round trip) by default. Adjust this to match your actual trading costs. Higher commission rates — especially relevant for frequent-trading timeframes — will reduce net results. Do not optimize parameters on the same data you use to evaluate performance. Optimization on historical data produces settings tuned to past noise, not future edge. The trail exit on slope reversal means that strongly trending markets where the MA briefly flattens before resuming may see early exits. This is the tradeoff for using slope as an exit condition. --- Limitations Backtest results are calculated on historical data and do not guarantee future performance. Market conditions change, and a strategy that performed well in a particular regime may perform differently as conditions evolve. The Volume RSI filter requires reliable volume data. This strategy is not recommended for synthetic instruments, CFDs where volume represents contracts rather than underlying market activity, or very short intraday timeframes where volume is fragmented and noisy. On such instruments, the third entry condition may be meaningless or misleading. The multi-bar slope confirmation requirement means the strategy will miss fast, sharp trend initiations where the MA slope has not yet had N bars to confirm. This is a deliberate tradeoff — reducing false entries at the cost of some late entries on fast moves. Pyramiding is disabled. The strategy will not add to winning positions. This limits upside during strongly trending markets where additional entries might be beneficial, but it also limits drawdown from compounding positions that subsequently reverse. ATR-based stops and TPs are fixed at entry. They do not adjust after the trade is open (apart from the trail exit). If volatility expands significantly after entry, a 2.5x ATR stop that was appropriate at entry may become relatively tight. The performance table reflects cumulative backtest results as of the current bar. Results will vary across different lookback windows and instruments. Default capital of $10,000 with 5% equity sizing means each trade risks approximately $500 before the stop is hit (assuming stop is the loss floor). This is a backtesting convention — it is not a recommendation for live account sizing. No strategy produces guaranteed results. The three-layer entry system improves internal signal consistency but cannot eliminate the inherent uncertainty of financial markets. --- Originality Statement Standard MA-based trend strategies treat a single bar's price-vs-MA relationship as sufficient for entry. ARM's primary differentiation is the multi-bar slope confirmation requirement : the ComboMA slope must be consistently positive (or negative) across N consecutive bars before the first condition is met. A one-bar slope deviation — common during consolidations and brief retracements — does not trigger entry. Only a sustained slope direction qualifies. The ComboMA itself is a blend of ALMA and ZLMA, combining the smoothness and Gaussian weighting of ALMA with the lag-compensation of ZLMA. Neither is used in isolation because each has a specific weakness: ALMA can lag on sharp moves; ZLMA can be sensitive to noise. The blend leverages the strengths of both while partially offsetting their weaknesses. The three-layer confirmation architecture — slope duration, price position, and demand validation — requires agreement across genuinely different measurement types: structural momentum over time, current price location, and volume activity. These are not three views of the same quantity. The stop and TP placement using strategy.position_avg_price rather than the signal bar close is a practical accuracy measure: in backtesting, it means risk distances are calculated from the price at which the trade was actually filled, not from where the signal was generated, which can differ from the fill price particularly on gap opens. --- Disclaimer This strategy is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. Backtested results are hypothetical and do not reflect actual trading. Hypothetical performance results have inherent limitations and do not account for execution slippage, liquidity constraints, or the psychological challenges of live trading. All trading involves risk, including the possible loss of principal. Always conduct your own research and consult a qualified financial professional before making any trading or investment decisions. -Made with passion by officialjackofalltrades
Pine Script® strategy
by officialjackofalltrades
Aegis Prime Flow [wjdtks255]Aegis Prime Flow : Advanced Momentum & Liquidity Engine ■ OVERVIEW Aegis Prime Flow is a high-precision trading oscillator engineered to visualize the hidden dynamics of market liquidity and momentum confluence. By utilizing a refined WaveTrend algorithm, it tracks the velocity of price action while the Money Flow Cloud illuminates the underlying capital bias. ■ KEY TRADING ARCHITECTURE Kinetic Power Bars: Integrated at the top (90) and bottom (-90) levels, these bars act as a "Heat Map" for trend intensity, signaling when the market is entering a phase of extreme expansion. Money Flow Cloud: A smoothed liquidity filter that fills the oscillator background, helping traders stay on the right side of the institutional trend. Aegis Reversal Signals: Precision-tuned triangle alerts (Teal/Red) identify high-probability pivot points where momentum exhaustion meets a structural shift. OB/OS Logic: Built-in Overbought (OB) and Oversold (OS) labels provide immediate visual confirmation of historical price extremes.
Pine Script® indicator
by wjdtks255