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Indicators

Covenant Regime Register [JOAT]Covenant Regime Register Introduction Covenant Regime Register is an open-source market context indicator that classifies whether price is currently behaving like a directional auction or a rotational auction. Instead of treating trend detection as a single yes-or-no output, the script builds two competing probability streams and continuously updates which state has stronger evidence. The problem this indicator solves is context drift. Many tools are applied the same way in every environment even though trending conditions and ranging conditions reward very different decisions. Covenant Regime Register separates those environments first, then exposes confidence, directional efficiency, and bias so the trader can decide whether to lean into continuation logic or step back into rotation logic. Core Concepts 1. Multi-factor regime observations The regime engine does not rely on one input. It blends normalized returns, normalized volatility, directional efficiency, and slope persistence into a two-state regime model: logReturn = math.log(close / nz(close , close)) realizedVol = ta.stdev(logReturn, volatilityLength) efficiencyRatio = math.abs(close - close ) / math.sum(math.abs(ta.change(close)), efficiencyLength) This keeps the classification grounded in both movement quality and volatility behavior. 2. Probabilistic state competition Directional and rotational states each receive an emission score. Those scores are then smoothed through a persistence-heavy probability engine so the output does not flip on every small fluctuation: posteriorTrend = emissionTrend * priorTrend posteriorRange = emissionRange * priorRange trendProb := trendProb + learningInput * (targetTrend - trendProb) The result is a stable state register rather than a noisy binary switch. 3. Confidence-aware classification The script only considers a regime confirmed when the dominant state exceeds the user-defined confidence threshold on a confirmed bar. This helps reduce false transitions during temporary turbulence. 4. Probability spread visualization Trend probability and range probability are plotted together, while the spread between them is shaded as a separate area. This lets the user see whether the market is decisively one-sided or only marginally biased. 5. Institutional dashboard The top-right dashboard reports current state, confirmation status, trend probability, range probability, efficiency, and directional bias using a restrained dark palette designed to stay readable on a clean chart. Features Two-state regime model: Directional auction versus rotational auction Multi-factor classification: Uses returns, volatility, efficiency, and slope instead of a single oscillator threshold Probability outputs: Trend and range are shown as separate probability streams Confidence gate: Regimes are only considered confirmed above the user-defined threshold Spread visualization: Shows the separation between the two competing states Dark institutional dashboard: Compact top-right panel with current state and supporting metrics Confirmed-bar regime alerts: Alerts only fire when a new regime is confirmed on bar close Non-repainting design: Uses only current-timeframe information and confirmed-bar state transitions Input Parameters Regime Engine: Return Lookback: Smoothing window for the return series Volatility Lookback: Window used to normalize realized volatility Efficiency Length: Measures directional travel versus rotational travel Probability Learning: Controls how quickly the posterior probabilities adapt Trend Confirmation Threshold: Minimum dominant probability required before a regime is treated as confirmed Visual System: Show Regime Backdrop Show Probability Spread Show State Ribbon Show Dashboard How to Use This Indicator Step 1: Read the dominant state If Trend Probability is above Range Probability and the confidence threshold is met, the market is behaving more directionally. If Range Probability dominates, the market is behaving more rotationally. Step 2: Check confirmation Use the confirmation state before treating the output as actionable. Developing readings can still change as the current bar closes. Step 3: Use efficiency and bias together High efficiency with strong directional bias supports continuation logic. Low efficiency with range dominance supports mean-reversion or lower-aggression decision making. Step 4: Apply it as a filter This indicator is best used as a context layer for other tools. It is not intended to predict the next bar by itself. Indicator Limitations Regime models classify the present environment; they do not forecast future direction Extremely fast reversals can temporarily lower confidence before the new state stabilizes Range and trend can overlap during transition periods, so marginal readings should be treated cautiously Originality Statement Covenant Regime Register is original in how it combines normalized return behavior, normalized volatility, directional efficiency, and slope persistence into a compact two-state probability register with an explicit confidence gate. It is published because: The script produces competing regime probabilities rather than a single trend flag The classification emphasizes state persistence and bar-close confirmation instead of hyper-reactive regime flipping The dashboard surfaces regime context in a compact format suitable for use as a decision filter alongside other indicators Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee future market behavior. All regime classifications are derived from historical and current price behavior and can produce false or delayed readings. Always use independent judgment and proper risk management.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Meridian Stochastic Regime Suite [JOAT]Meridian Stochastic Regime Suite Introduction Meridian Stochastic Regime Suite is an open-source adaptive oscillator built for traders who want more context than a standard stochastic line can provide. The script combines a centered stochastic engine, an adaptive response model, and a regime profile so the oscillator changes character as the market shifts between trend, compression, expansion, and balance. The problem Meridian solves is signal quality. Standard oscillators often look clean, but they do not explain whether momentum is occurring inside a compressed market, an expanding breakout phase, or a stable trend. Meridian adds that context directly into the oscillator architecture so the same reading can be interpreted differently depending on the active regime profile. Core Concepts 1. Centered stochastic architecture Price is pre-smoothed first, then converted into a stochastic reading that is centered around 50 so directional pressure is easy to interpret: smoothHigh = ta.ema(high, priceSmoothLen) smoothLow = ta.ema(low, priceSmoothLen) smoothClose = ta.ema(close, priceSmoothLen) rawStoch = 100.0 * (smoothClose - ta.lowest(smoothLow, stochLen)) / stochRange 2. Adaptive response engine The main oscillator does not use static smoothing alone. Its response speed and gain expand or contract based on the regime profile: gainBias = gainBase + trendScore * 0.38 + expansionScore * 0.18 - compressionScore * 0.12 speedBias = responseBase + trendScore * 0.08 + expansionScore * 0.04 adaptiveOsc := adaptiveOsc + speedBias * (adaptiveSeed - adaptiveOsc ) This helps the oscillator respond differently in directional and compressed conditions. 3. Embedded regime scoring Meridian computes four internal state scores: Trend Compression Expansion Balance Those scores are derived from ATR behavior, path efficiency, and slope strength, then normalized into a regime profile shown in the dashboard. 4. Spread and signal layer The script compares the adaptive oscillator to a slower signal line and visualizes the spread around the neutral axis. This gives a direct view of acceleration versus drag. 5. Institutional oscillator panel The panel uses restrained zones, layered fills, and a top-right dashboard instead of loud markers. The result stays readable while still carrying multiple analytical dimensions. Features Centered stochastic core: Keeps the oscillator readable around a neutral midpoint Adaptive response model: Gain and speed shift with the internal regime profile Four-state regime map: Trend, Compression, Expansion, and Balance Fast line and signal line: Shows momentum acceleration versus stabilization Spread shading: Highlights when the adaptive oscillator is separating from the signal line Regime dashboard: Displays state, confidence, adaptive reading, signal reading, and regime profile shares Confirmed-bar flips: Internal state transitions are tracked on closed bars Non-repainting design: Uses only current-timeframe data and no future references Input Parameters Stochastic Core: Price Pre-Smoothing Stochastic Length Fast Smoothing Adaptive Signal Smoothing Regime Filter: Regime Window ATR Window Base Oscillator Gain Base Response Speed Visual Output: Show Adaptive Zones Show Centered Fast Line How to Use This Indicator Step 1: Start with the regime Read the dashboard first. Trend and Expansion regimes support directional interpretation. Compression and Balance call for more caution. Step 2: Watch adaptive versus signal spread When the adaptive line separates cleanly from the signal line, momentum is strengthening. When the spread compresses, the move is losing urgency. Step 3: Use the centered fast line as timing context The fast line helps show whether short-term momentum is leading or lagging the adaptive engine. Step 4: Avoid isolated readings Meridian is strongest when used alongside a structure or value-based tool rather than as a standalone trade trigger. Indicator Limitations Like all oscillators, Meridian can remain elevated or depressed during strong directional trends Compression states may delay re-acceleration readings until volatility expands again The regime profile is descriptive, not predictive Originality Statement Meridian Stochastic Regime Suite is original in how it embeds a four-state regime profile directly into the adaptive behavior of a centered stochastic engine. It is published because: The oscillator response changes with internal market-state measurements instead of using only fixed smoothing The script surfaces trend, compression, expansion, and balance as percentages inside the same panel The panel and dashboard design turn regime context into an interpretable momentum framework rather than a generic stochastic clone Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Oscillator readings can remain extreme for extended periods, and regime classifications can shift as conditions evolve. Always use independent judgment and proper risk management.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Aurelian Auction Ledger [JOAT]Aurelian Auction Ledger Introduction Aurelian Auction Ledger is an open-source range and auction analysis overlay designed to identify compressive trade zones, map their internal value structure, and show how price behaves when it tests the edges of that ledger. The script builds a live range shell, calculates a point of control and value area, tracks sweep events, and presents the active auction state in a top-right dashboard. The problem Aurelian solves is hidden range structure. Consolidation zones are often treated as simple rectangles, but not all ranges are equal. Some are balanced, some lean toward accumulation, some toward rejection, and many fail through one-sided sweeps before resolving. Aurelian turns that internal auction structure into something visible. Core Concepts 1. Compression-based ledger build The script measures whether recent bars are tight enough in ATR terms, efficient enough in body structure, and balanced enough in directional pressure to qualify as a live auction ledger. 2. Range shell and internal value area When a ledger is active, the script draws: The outer ledger shell The internal value area The point of control This separates broad range boundaries from the price zone where most business is actually being done. 3. Right-side auction profile Volume is accumulated across profile rows inside the active ledger so the script can identify the highest-volume row and estimate the value area around it. 4. Sweep tracking Upper and lower sweep events are tracked only on confirmed bars. This helps distinguish clean acceptance from failed range probes. 5. Ledger tilt The indicator maintains a directional tilt metric so the range shell is not displayed as neutral by default. If the auction begins leaning toward acceptance or rejection, the color balance reflects that change. Features Compression-driven range detection: Searches for structured auction zones rather than generic boxes Live range shell: Displays the active ledger high, low, and midpoint Point of control and value area: Maps where the auction is most concentrated Right-side profile: Extends the auction structure visually beyond the current bar Sweep detection: Tracks confirmed probes beyond the ledger edges Auction tilt readout: Shows whether the range is leaning toward acceptance or rejection Top-right dashboard: Reports mode, compression, width, POC, value area, sweeps, and tilt Non-repainting event logic: Sweep and breakout conditions are confirmed on bar close Input Parameters Ledger Core: ATR Length Ledger Build Bars Compression Ceiling Body Efficiency Ceiling Directional Balance Ceiling Breakout Buffer Auction Profile: Profile Rows Profile Width Value Area Coverage Visuals: Show Range Shell Show Right-Side Profile Show Sweep Marks Tint Auction Bars Show Dashboard How to Use This Indicator Step 1: Confirm that a ledger is live Check the dashboard mode first. If the ledger is not active, the script is still scanning for a qualified auction structure. Step 2: Watch the POC and value area These levels show where the auction is concentrated and whether price is rotating inside value or challenging the edges. Step 3: Track sweeps versus acceptance Confirmed sweep events can mark failed probes. If price repeatedly sweeps one side and returns, the ledger is revealing where excess is being rejected. Step 4: Use tilt as context, not prediction Ledger tilt helps interpret which side has more pressure, but the actual resolution still depends on whether price ultimately accepts outside the shell. Indicator Limitations The script is designed for structured ranges and will naturally stand down during broad directional moves Volume distribution inside a candle is approximated using row allocation rather than true intrabar order flow A qualified ledger can still break without first producing a sweep event Originality Statement Aurelian Auction Ledger is original in how it combines a compression-qualified range state, an internal profile-derived value area, sweep tracking, and directional tilt into a single clean overlay. It is published because: The script distinguishes a structured auction ledger from a generic consolidation rectangle It combines shell, POC, value area, and sweep tracking in one coherent range workflow The tilt metric provides additional auction context without cluttering the chart with heavy labels Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee future market behavior. Range structures can fail abruptly, and volume-based value estimates are still interpretations of historical trading activity. Always use independent judgment and proper risk management.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Opening Auction Ledger [JOAT]Opening Auction Ledger Introduction Opening Auction Ledger is an open-source session framework built to standardize how the opening range is measured, locked, evaluated, and managed throughout the day. The indicator is designed around a simple institutional question: Once the opening auction is complete, is price accepting away from it or failing back into it? The script answers that by combining: session-specific opening range capture high-low or body-based range construction breakout qualification relative volume confirmation objective extension ladders session profile rendering adaptive continuation trail management historical breakout tracking in a dashboard This makes the opening range usable as more than a static box. It becomes a complete session ledger. Core Concepts 1. Opening Range Capture The script builds the opening range only during the specified session window and then locks that range when the session ends. This preserves a fixed reference for the rest of the day. 2. Source Flexibility Users can define the opening range using raw highs and lows or candle bodies. This changes how strict the opening auction frame is and can make the indicator more stable on noisy instruments. 3. Qualified Breakout Detection Breaks are not accepted simply because price crosses a range boundary. The script can require a minimum displacement beyond the range and, optionally, a relative-volume lift compared with recent activity. 4. Objective Laddering Once a breakout is confirmed, the script projects three extension objectives above and below the opening range using multiples of the locked range size. 5. Continuation Management An adaptive ATR trail follows the accepted breakout so continuation quality can be monitored after the initial move is underway. Features Configurable opening session: user-defined session window and timezone Opening range lock: session range freezes after the auction ends Body or high-low source mode: choose the structure used to build the range Relative-volume breakout filter: optional confirmation prevents weaker breaks from being counted Minimum displacement filter: breakout must exceed a configurable fraction of the locked range Extension ladder: three upside and three downside objectives Session profile: profile-style rendering of activity inside the opening auction Continuation trail: adaptive ATR trail tracks accepted move quality Historical outcome counters: dashboard tracks breakout counts and objective hit rates Institutional dashboard: top-right summary of session state, range size, direction, and objective performance Input Parameters Opening Auction Opening Range Session Session Days Timezone Range Source Minimum Break % Of Range Require Relative Volume Lift Relative Volume Threshold Extension Ladder Show Extension Ladder Objective One Objective Two Objective Three Show Price Labels Auction Profile Show Session Profile Profile Rows Profile Width Bars Profile Offset Bars Continuation Management Show Adaptive Continuation Trail Trail ATR Length Trail ATR Multiplier Display Range Fill Transparency Shade Session State Dashboard Position Dashboard Size How to Use This Indicator Step 1: Wait for the Range to Lock Do not treat the opening range as final until the configured auction window is complete. Before that point, the frame is still forming. Step 2: Measure the Quality of the First Break The first breakout matters most when it clears the minimum displacement rule and is supported by the configured relative-volume threshold. Step 3: Use the Ladder as an Objective Map The projected targets are not predictions. They are structured expansion references derived from the opening range itself. Step 4: Follow the Trail for Acceptance The continuation trail helps determine whether price is still accepting away from the opening auction or beginning to fail back toward it. Step 5: Review the Dashboard Statistics The dashboard can help users understand how often objective ladders are being reached under the current settings and instrument behavior. Indicator Limitations The usefulness of the opening range depends heavily on the selected session and market traded Relative-volume logic is chart-volume based and depends on the instrument's available volume series Very narrow opening ranges can create closely spaced objectives in low-volatility sessions A qualified breakout can still fail quickly in event-driven or thin-liquidity conditions Originality Statement Opening Auction Ledger extends the classic opening-range idea into a broader session framework by combining range locking, breakout qualification, objective ladders, profile context, continuation management, and outcome tracking in a single open-source script. Disclaimer This indicator is provided for educational and informational purposes only. It is not investment advice and does not guarantee that any breakout or target sequence will succeed. All calculations are based on historical chart data and should be interpreted with appropriate risk management and independent analysis.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Harbor Reversal Ledger [JOAT]Harbor Reversal Ledger Introduction Harbor Reversal Ledger is an open-source reversal timing indicator that combines completed higher-timeframe candle context with confirmed local RSI divergence. The objective is not to predict turning points early. The objective is to wait for enough evidence that a reversal thesis is becoming structurally credible. Many reversal tools repaint because they depend on unfinished higher-timeframe candles or unconfirmed pivot comparisons. Harbor Reversal Ledger avoids that by: requesting completed higher-timeframe candles only confirming RSI pivots before evaluating divergence scoring confluence from multiple independent ingredients projecting higher-timeframe structure onto the execution chart rendering a timing ledger in its own pane Core Concepts 1. Completed Higher-Timeframe Context The script requests prior higher-timeframe candles rather than reading the currently forming candle. This keeps the higher-timeframe pattern engine stable and non-repainting. 2. Candle Pattern Recognition Bullish and bearish engulfing patterns can be enabled, and pin-bar style rejection patterns can also be used. These patterns contribute directional context, not automatic entries. 3. Confirmed RSI Divergence Local price and RSI pivots are both confirmed using left/right pivot logic. Only after the pivots are locked does the script compare price progression against RSI progression to determine bullish or bearish divergence. 4. Distance-to-Extreme Scoring Reversal evidence becomes more meaningful when price is still close to a recent extreme. The confluence engine therefore includes distance-based scoring relative to a configurable lookback. 5. Projection and Confluence Zones Completed higher-timeframe candles can be projected forward on the execution chart, while divergence events can create local confluence zones when the evidence stack is strong enough. Features Completed HTF candle projection: prior higher-timeframe range and body projected onto the chart HTF pattern engine: bullish and bearish engulfing and pin-bar style patterns Confirmed RSI divergence: bullish and bearish divergence using pivot confirmation Dual-pane logic: overlay objects explain price context while the pane acts as a reversal timing ledger Confluence scoring: combines HTF pattern, local divergence, and distance-to-extreme logic Premium/discount context: position of price relative to the HTF midpoint is plotted Confluence zones: optional chart zones highlight stronger bullish or bearish reversal regions State-based RSI coloring: RSI line color reflects the current net confluence Top-right dashboard: summarizes pattern state, divergence state, confluence, and location context Non-repainting design: no unfinished HTF candles and no unconfirmed pivot divergence Input Parameters Higher Timeframe Context HTF Candle Source Enable Engulfing Patterns Enable Pin Bar Patterns Project Completed HTF Candle Projection Offset Bars Projection Width Bars Execution Divergence RSI Length Pivot Left Pivot Right Show Divergence Lines Show Confluence Zones Confluence Engine Distance Lookback Distance Weight Pattern Weight Divergence Weight Display Show RSI State Fill Dashboard Position Dashboard Size How to Use This Indicator Step 1: Start With the Higher-Timeframe Projection Use the projected completed candle to understand whether the larger reference bar is signaling rejection, acceptance, or neutrality. Step 2: Wait for Local Divergence Confirmation The script intentionally waits for confirmed pivots. That delay is a feature, not a flaw. Step 3: Read the Net Confluence, Not Just RSI The pane is not meant to be treated like a normal RSI oscillator. Its color and context matter because they reflect the broader reversal evidence stack. Step 4: Use Confluence Zones as Areas of Interest Zones identify places where the higher-timeframe context and local divergence align. They are not guaranteed turning points. Step 5: Respect the Directional Imbalance If the higher-timeframe candle context is strongly bearish, a minor bullish divergence alone may not be enough to justify a reversal thesis, and vice versa. Indicator Limitations Confirmed divergence necessarily appears after the pivot forms, which introduces intentional timing delay Higher-timeframe pattern quality depends on the selected timeframe and instrument behavior RSI divergence can persist without immediate reversal in strong directional markets Projection objects are context tools, not price targets Originality Statement Harbor Reversal Ledger is designed as a confluence ledger rather than a single-pattern reversal marker. Its distinguishing structure comes from pairing completed higher-timeframe candle analysis, confirmed divergence, distance scoring, projected context, and pane-based confluence visualization into one disciplined, non-repainting timing framework. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and should not be used as a standalone reason to enter or exit a market. All reversal readings are based on historical chart data and can fail, especially in strongly trending or event-driven conditions. Use proper risk management and independent judgment.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Concordance Allocation Strategy [JOAT]Concordance Allocation Strategy Introduction Concordance Allocation Strategy is an open-source TradingView strategy that integrates regime detection, directional bias, momentum alignment, value-location filtering, and ATR-based risk management into one non-repainting framework. It is designed to trade only when multiple independent layers agree on bar close. The problem this strategy solves is isolated signal bias. A single good-looking signal can fail quickly if it appears in the wrong market regime, against the wrong directional structure, or in the wrong part of value. Concordance requires those layers to align before it enters a trade, then manages risk with fixed ATR targets and adaptive exits. Core Concepts 1. Regime filter The strategy uses a probability-based trend-versus-range classifier. Trades are only considered when the directional regime is confirmed on a closed bar. 2. Directional bias engine An ATR-based bias band adapts to noisy conditions and recovery stress so long and short bias are not driven by a simple moving average cross. 3. Momentum confirmation A centered adaptive stochastic spread must align with the directional side. This prevents entries based on trend context alone. 4. Value-location filter The strategy requires price to be properly aligned with percentile-derived value rails before entries are allowed. This helps avoid chasing direction in poor location. 5. Structured risk management Every position uses: ATR stop loss ATR take profit Adaptive trailing behavior once price extends far enough Context exits when regime or momentum deteriorates Features Multi-layer entry filter: Regime, bias, momentum, and value must agree Bar-close confirmation: Entries are evaluated using confirmed-bar logic ATR stop loss and take profit: Risk is defined from volatility, not fixed ticks Adaptive exit behavior: Bias band can tighten once the move extends No higher-timeframe dependency: Uses current-timeframe calculations only Institutional dashboard: Shows exposure state, regime, momentum, bias band, and value rails Non-repainting framework: No future references and no lookahead logic Input Parameters Regime Layer: Return Lookback Volatility Lookback Efficiency Length Regime Learning Trend Gate Directional Bias: ATR Length ATR Base Multiplier Avoidance Expansion Recovery Pull Noise Threshold ATR Momentum Layer: Stochastic Length Stochastic Smoothing Price Presmoothing Adaptive Attenuation Momentum Spread Gate Value Layer: Value Lookback Lower Rail Percentile Upper Rail Percentile Rail Smoothing Risk Layer: Stop ATR Take Profit ATR Trail Activation ATR Trail Buffer ATR How to Use This Strategy Step 1: Read the regime The strategy only acts when the directional regime is confirmed. If the regime is rotational, it stands down. Step 2: Confirm directional bias The ATR bias band must agree with the side of the trade. This avoids taking long momentum setups under bearish structure or the reverse. Step 3: Check momentum and value together Momentum must align with the side and price must be operating in the correct value location. Both filters are required. Step 4: Review risk settings before use Stop and target multiples should be adjusted to the market and timeframe being tested. The defaults are intended to be realistic rather than aggressively optimized. Strategy Limitations No strategy can eliminate false regime transitions or rapid reversals Percentile value rails adapt to the sample window and may lag sudden structural changes The strategy is designed for realism and context alignment, not maximum trade frequency Originality Statement Concordance Allocation Strategy is original in how it requires regime confirmation, directional bias, momentum agreement, and value-location agreement before allowing entries. It is published because: The strategy avoids isolated indicator triggers and instead uses a layered confirmation model Its risk logic combines fixed ATR objectives with adaptive context exits The design is intentionally current-timeframe, bar-close confirmed, and non-repainting Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice, and backtest results do not guarantee future performance. Trading involves risk of loss, and any strategy can underperform or fail in changing market conditions. Always evaluate settings carefully and use proper risk management.
استراتيجية Pine Script®
من ‎officialjackofalltrades‎
Crown Structure Ledger [JOAT]Crown Structure Ledger Introduction Crown Structure Ledger is an open-source market structure ledger built to classify price through three structural horizons at the same time: short-term, intermediate-term, and primary-term. Instead of reducing structure to a single swing model, this script maintains separate rails for each horizon so users can see where local repricing, intermediate repricing, and larger campaign structure are currently positioned. The indicator is designed to solve a common chart-reading problem: Traders often know price is moving, but they do not know whether the move is merely a short-term impulse inside a larger range, an intermediate continuation, or a genuine primary expansion. Crown Structure Ledger addresses that by combining: confirmed pivot structure active break state tracking adaptive ATR corridors EMA trend context volume-pressure bias scoring state-based candle coloring forward structure projection a top-right institutional dashboard The output is intentionally visual but restrained. Instead of cluttering the chart with excessive markers, the script emphasizes live structural rails, shaded corridors, confirmed state transitions, and a dashboard that summarizes the current condition of each structural layer. Core Concepts 1. Three-Horizon Structure Mapping The script confirms three separate pivot systems using different left/right lengths. This creates a short-term layer for local impulse, an intermediate layer for swing control, and a primary layer for broader directional structure. Each confirmed pivot updates its own active rail instead of overwriting the other layers. 2. Confirmed Break Logic Break states are only recognized on confirmed bars. This means the script does not react to intrabar spikes through a level. A structural state changes only when price closes through a live rail beyond a small corridor allowance. 3. Adaptive Structure Corridors Every rail is wrapped in an ATR-based corridor. When adaptive depth is enabled, the corridor expands or contracts according to volatility conditions so the structure model stays usable across slow and fast environments. 4. Pressure-Weighted Bias The indicator includes a directional pressure score based on up-volume versus down-volume across a configurable window. That pressure score is combined with EMA orientation and structure state to create a bias color system rather than a binary trend flag. 5. Forward Projection Current structural rails can be extended forward so the user can see where the next important structural interaction is likely to occur without manually drawing continuation levels. Features Three structure horizons: short, intermediate, and primary rails tracked independently Adaptive structure corridors: live ATR-based zones around active rails Confirmed structural transitions: break states only update on confirmed bars Break labels: optional state labels appear when a new structural expansion or compression is confirmed EMA trend filter: fast and slow EMA alignment supports the structure interpretation Volume-pressure bias model: directional pressure is estimated from relative up-volume and down-volume Bias cloud: optional background cloud reflects broader directional control Candle coloring: bars can be colored from bearish to bullish using a gradient-like bias response Forward corridor projection: active rails can extend to the right edge of the chart Institutional dashboard: top-right summary of structure state, bias, pressure, and live rail context Input Parameters Structure Engine Short Pivot Length Intermediate Pivot Length Primary Pivot Length Structure Corridor ATR Adaptive Corridor Depth ATR Length Bias Filter Fast EMA Slow EMA Pressure Window Color Candles Show Structure Cloud Show Structure Rails Show Break Labels Visual System Show Short Term Show Intermediate Term Show Primary Term Show Forward Corridor Forward Corridor Bars Dashboard Position Dashboard Size How to Use This Indicator Step 1: Read the Three States Separately Start by checking whether short-term, intermediate-term, and primary-term structure agree. When all three align, the chart is in a cleaner directional condition. When they diverge, the market is often transitioning or rotating. Step 2: Watch the Active Rails The live rails mark the current structural boundaries that still matter. These are the levels price must reclaim or lose to produce a confirmed structural update. Step 3: Use the Corridors, Not Just the Line The corridor around a rail is intentional. It helps avoid overreacting to shallow level breaches in noisy conditions. Step 4: Read the Bias Cloud and Candle Tone Together If candle color, pressure bias, and the structure cloud all point in the same direction, the chart context is stronger than a single rail break by itself. Step 5: Use the Dashboard as a Summary, Not a Shortcut The dashboard is there to reduce scanning time. It is best used as a summary of what the rails are already showing visually. Indicator Limitations Pivot-based structure confirms after the configured right-side bars complete, so signals are intentionally delayed for non-repainting behavior Very aggressive settings can make the short-term layer overly sensitive on low-quality markets In prolonged compression, structure may appear stable while directional follow-through remains weak The indicator explains current structure; it does not guarantee continuation after a break Originality Statement Crown Structure Ledger is built around a layered structure ledger rather than a single swing map. Its distinguishing value comes from maintaining three live structure horizons with adaptive corridors, pressure-aware bias scoring, forward projection, and a dashboard that keeps the chart readable while still exposing the full state of the engine. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and should not be treated as a recommendation to buy or sell any financial instrument. All structural readings are derived from historical price and volume data and can fail in abnormal market conditions. Always use independent judgment and risk management.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Parallax Density Atlas [JOAT]Parallax Density Atlas Introduction Parallax Density Atlas is an open-source price-acceptance overlay that maps where the market has spent the most time doing business across a recent lookback. It combines a kernel density estimate of recent closing prices with percentile-based value rails so the user can see both the smooth acceptance curve and the practical operating envelope around it. The problem Parallax solves is hidden value structure. Traders often know whether price is moving, but not whether that movement is taking place inside accepted value, above value, or below value. Parallax puts that information directly on the chart through a point of control, value area boundaries, rails, cloud zones, and a concise dashboard. Core Concepts 1. Kernel density estimation The script evaluates a Gaussian kernel across recent closes to estimate continuous price density: densitySum += gaussianKernel((evalPrice - samplePrice) / bandwidth) densityValue = densitySum / (array.size(closeSample) * bandwidth) This creates a smooth value map instead of a stepped histogram alone. 2. Point of control and value area The highest-density node becomes the point of control. From there, the script expands outward until the target percentage of total density is captured, defining the value area high and low. 3. Percentile rails In parallel with the KDE engine, the script maintains sorted close samples and derives lower and upper rails from user-defined percentiles. Those rails create a stable operating envelope around recent value. 4. Density cloud Only the densest accepted zones inside the value area are shaded as a cloud, keeping the display focused on high-importance price zones rather than every possible level. 5. Context and skew The dashboard reports whether current price is accepted inside value, expanding above value, or trading below accepted value, along with skew and rail width. Features KDE value map: Smooth density estimate built from recent closes Point of control: Highest-density price node marked directly on the chart Value area boundaries: High and low edges of accepted price territory Percentile value rails: Smoothed lower and upper rails from sorted price samples Density cloud: Highlights only the strongest accepted zones Right-side profile: Extends density visually to the right of current price Optional candle tinting: Reflects where price sits inside the value structure Top-right dashboard: Shows POC, value area, rail width, skew, and current location state Input Parameters Density Engine: Lookback Density Steps Bandwidth Multiplier Value Area Percent Value Rails: Lower Rail Percentile Upper Rail Percentile Rail Smoothing Visual System: Profile Width Bars Cloud Threshold Show Density Cloud Show Right Profile Tint Candles Show Dashboard How to Use This Indicator Step 1: Start with location Read whether price is inside value, above value, or below value. This defines whether the market is rotating in accepted territory or exploring away from it. Step 2: Use POC as the acceptance anchor The point of control marks the most accepted price in the sample window. Reactions around it can frame mean-reversion and acceptance behavior. Step 3: Compare rails with value area The rails provide a smoothed operating envelope while the value area shows the densest accepted region. Using both together gives a more complete value map. Step 4: Monitor skew Positive skew means the density center is leaning upward in the sample range. Negative skew means accepted value is leaning lower. Indicator Limitations The density map is lookback-dependent and will evolve as old data leaves the sample KDE on closing prices is an acceptance approximation, not a full order-flow model Strong trends can stay outside accepted value for extended periods Originality Statement Parallax Density Atlas is original in how it pairs a continuous KDE-based value map with percentile rails and a selective density cloud in one overlay. It is published because: The script combines smooth value estimation with rail-based structure instead of using one method alone It focuses the cloud only on high-density accepted regions, preserving chart cleanliness The dashboard turns the density map into a practical location framework rather than a purely visual profile Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee future market behavior. Value zones can shift as new data enters the sample, and persistent trends can stay outside accepted areas longer than expected. Always use independent judgment and proper risk management.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Open Interest Suite [QuantAlgo]🟢 Overview The Open Interest (OI) Suite is a comprehensive OI visualization and analysis tool built specifically for crypto perpetual futures traders. It reads open interest data directly from TradingView-supported exchanges, giving you a way to monitor how many active contracts are currently open in the market. Whether you are tracking a single exchange or aggregating OI across venues like Binance, Bybit, Bitget, Coinbase, Kraken, HTX, BitMEX, and OKX, this indicator is one of the most powerful contextual tools available, allowing traders to quickly gauge overall perpetual futures market positioning. 🟢 What is Open Interest? Open interest (OI) is the total number of live contracts between buyers and sellers at any given moment. Every long is matched to a short at a 1:1 ratio, so OI gives you a strong sense of how much capital and how many positions are currently committed to the market. Rising OI suggests new money and new positions are entering. Falling OI suggests positions are being closed or liquidated. When combined with price action, OI becomes one of the most valuable lenses available for understanding what is likely happening beneath the surface of price movement in perpetual markets. 🟢 How It Works The indicator operates in two distinct modes. In Single (Chart) mode, it automatically reads open interest from whichever supported exchange and perpetual contract you are currently viewing, requiring no manual configuration. In Aggregated mode, it fetches OI from some of the highest-volume exchanges in crypto, for example, Binance, Bybit, Bitget, Coinbase, Kraken, HTX, BitMEX, and OKX, combines them into a single composite total, and gives you a cross-market view of positioning that no individual exchange feed can provide on its own. For each exchange in Aggregated mode, OI is fetched across both USDT and USDC perpetual pairs where applicable, then converted to a unified measure before summing. More exchanges will be added as their data becomes available on TradingView. The Measure setting controls how OI values are expressed. In Coins mode, values are kept in their native unit, which may be more useful when you want to observe raw contract volume independent of price fluctuations. In Dollars mode, coin quantities are multiplied by the current bar price to convert values into USD, which is the standard way most traders and data providers report OI and tends to make cross-asset comparisons more intuitive. For exchanges that report natively in USD, the conversion is handled in reverse when Coins mode is active. 🟢 Key Features ▶ View Modes The indicator offers four ways to visualize OI, each suited to a different analytical purpose. 1. Candles: Renders OI as full OHLC candlesticks, displaying open, high, low, and close OI for every bar. This is the richest view for studying OI structure, trends, compression, and expansion over time. You can watch OI build or unwind bar by bar similarly to how you read price action, which may help with spotting periods of aggressive position-building or rapid deleverage. 2. Lines: Renders OI as a single continuous line using the close value of each bar. Cleaner and less visually demanding than candles, this mode works well for maintaining OI context alongside other indicators without crowding the chart. 3. Change: Displays the bar-over-bar absolute difference in OI as a histogram. Positive bars indicate net new positions were likely opened. Negative bars suggest net positions were closed or liquidated. This mode can help identify the bars where positioning shifted most dramatically, which often corresponds to high-conviction entries, forced liquidations, or possible trend exhaustion. 4. Change (%): The same histogram expressed as a percentage of the prior bar OI value. This normalises the signal across different asset sizes and OI magnitudes, which could make it easier to compare positioning dynamics between a large-cap asset and a smaller altcoin. ▶ Aggregated Mode and Exchange Selection In Aggregated mode, each of the eight supported exchanges can be toggled on or off independently. This flexibility allows several useful configurations beyond a simple total. You can enable only one exchange to track that specific venue regardless of which chart you are currently viewing. You can also add the indicator to your layout multiple times with a different single exchange selected each time, letting you compare individual exchange OI side by side on the same chart. ▶ Color Presets Five built-in color presets (Classic, Aqua, Cosmic, Cyber, Neon) allow you to match the indicator's appearance to your chart setup with a single click. A Custom preset exposes individual color pickers for bull, bear, and line colors, giving full control over every visual element including candle bodies, wicks, borders, histogram columns, and the line overlay. ▶ Unsupported Exchange Warning When Single (Chart) mode is active and the current exchange does not provide open interest data on TradingView, the indicator displays a warning label on the chart identifying the unsupported exchange and listing supported alternatives. 🟢 Price + OI Interpretation Reading OI in isolation is only part of the picture. More meaningful analysis tends to come from combining OI direction with price action and, where available, volume data, along with other trend-following or mean-reversion indicators. Examples: 1. Price Up + OI Up: New capital is likely entering on the long side. This could indicate bullish trend continuation, with fresh positioning supporting the move rather than just short covering. The stronger the OI growth relative to price movement, the higher the probability that the trend has genuine participation behind it. 2. Price Down + OI Up: New shorts are probably being added aggressively. Bearish momentum may be building through fresh positioning, which tends to be a more sustained signal than a move driven purely by long liquidations. 3. Price Down + OI Down: Longs are likely closing or being liquidated. The selling pressure in this scenario is coming from position unwinds rather than new short entries, which could sometimes suggest exhaustion near a local low rather than fresh trend initiation. 4. Price Up + OI Down: Shorts are probably closing or being squeezed out. This is the likely mechanics of a short squeeze: buyers overwhelm sellers, underwater shorts cover, and the resulting buy pressure may accelerate the move higher. This pattern tends to produce some of the fastest and sharpest price moves seen in crypto perpetual markets. It is worth noting that for every short there is a long. When OI increases during a downtrend, it does not necessarily mean only shorts are entering. Longs are participating too, often more passively through limit orders. Cumulative Volume Delta (CVD) can help distinguish which side is more likely driving the flow, since it measures aggressive buying versus aggressive selling pressure within each bar. 🟢 Important Notes 1. This indicator is designed exclusively for crypto perpetual futures and will not produce output on spot tickers, equity symbols, or any instrument without a corresponding OI feed on TradingView. In Single (Chart) mode, if the exchange you are viewing is not among the currently supported venues (Binance, Bybit, Bitget, Coinbase, Kraken, HTX, BitMEX, and OKX), the indicator will display a warning and produce no data. Switching to a supported exchange will restore functionality. More exchanges will be added as their data becomes available on TradingView. 2. OI is most useful as a context layer rather than a standalone signal. Using it alongside price structure, volume, and order flow analysis may help you assess whether a move is likely backed by new positioning or driven by position unwinds. That distinction could have meaningful implications for how far a move extends and how quickly it might reverse.
مؤشر Pine Script®
من ‎QuantAlgo‎
Aureate Market Architecture Strategy [JOAT]Aureate Market Architecture Strategy Introduction Aureate Market Architecture Strategy is an open-source TradingView strategy that integrates regime classification, structure bias, breakout pressure, liquidity confirmation, and risk management into one confirmed-bar execution model. The strategy is built for users who want a rules-based implementation of the broader JOAT architecture rather than a single-indicator signal stream. Its design goal is not to maximize trade count. Its design goal is to trade only when multiple independent conditions agree: the market is in an expansion-permitted regime structure bias supports direction pressure is strong enough to justify participation liquidity context confirms the move risk and daily drawdown constraints allow a new position This produces a strategy that is intentionally selective and explicitly non-repainting. Core Concepts 1. Regime Detection The strategy classifies the market into accumulation, expansion, or exhaustion using ATR behavior, balance width, and normalized breakout pressure. A persistence requirement prevents the regime state from flipping too quickly. 2. Structure Bias Filter Directional participation is gated by confirmed medium-term structural breaks, EMA orientation, and price location relative to the fast EMA. An optional higher-timeframe bias filter can be added using completed higher-timeframe candles only. 3. Pressure Confirmation Breakout pressure is derived from a composite of multiple ROC windows and smoothed into an adaptive signal. The strategy does not permit entries unless that signal exceeds its volatility-adjusted threshold. 4. Liquidity Context The strategy estimates upper and lower liquidity anchors, counts relative touch density, and looks for sweep failure behavior to confirm whether the current move has supportive liquidity context. 5. Risk and Exit Stack Every position uses an initial stop, a take-profit target based on risk multiple, an adaptive trailing component, a daily loss lockout, and a cooldown after exit. Features Three-state regime engine: accumulation, expansion, and exhaustion Persistence logic: regime changes require confirmation across multiple bars Structure bias filter: confirmed BOS logic combined with EMA alignment Optional HTF bias filter: completed higher-timeframe candles only Adaptive breakout pressure: multi-window ROC model normalized by its own volatility Liquidity confirmation: anchor touches, sweep failures, and relative-volume support Long and short entry logic: both directions use the same confirmed-bar architecture Risk management: ATR-based initial stop, target, trailing logic, and daily loss control Cooldown control: prevents immediate re-entry after an exit Dashboard and chart overlays: display current state, active bias, and risk context Default Strategy Properties Initial Capital: 100000 Order Size: 10% of equity Commission Model: Percent Commission Value: 0.01 Pyramiding: 0 Calc On Order Fills: enabled Calc On Every Tick: disabled Input Parameters Regime Engine Regime ATR Length Regime Baseline Length Balance Window Accumulation Volatility Threshold Expansion Volatility Threshold Regime Persistence Bars Structure Bias Short Pivot Medium Pivot Fast EMA Slow EMA Use Confirmed HTF Bias Filter HTF Bias Timeframe Breakout Pressure Fast ROC Medium ROC Slow ROC Macro ROC Pressure Smoothing Pressure Threshold Multiplier Liquidity Context Liquidity Window Sweep Depth ATR Relative Volume Floor Risk Management Initial Stop ATR Take Profit R Multiple Trail ATR Multiple Daily Lockout % Cooldown Bars After Exit How to Use This Strategy Step 1: Treat the Regime as the First Gate The strategy only wants to be active in the expansion state. If the dashboard shows accumulation or exhaustion, the system is designed to be more selective or inactive. Step 2: Check Directional Alignment The cleanest trades occur when structure bias, EMA alignment, pressure, and liquidity all support the same side. Step 3: Respect the Risk Model The stop, target, trail, and daily lockout are part of the strategy logic. They should not be ignored when evaluating results. Step 4: Expect Selectivity This strategy is built to filter aggressively. Users looking for frequent trades may need different settings or a different methodology. Step 5: Evaluate Over Enough Trades No strategy should be judged from a very small sample. Assess it across enough market conditions to understand where the architecture performs well and where it degrades. Strategy Limitations This strategy uses chart-derived liquidity and regime approximations rather than exchange microstructure data Selective filters can reduce trade frequency substantially on some instruments and timeframes Backtest results depend on instrument, timeframe, commission, slippage assumptions, and session behavior Non-repainting logic reduces false signals but can also introduce later entries than predictive systems Originality Statement Aureate Market Architecture Strategy is original in the way it integrates regime state, structural confirmation, normalized pressure, liquidity context, and layered risk controls into one coherent execution model. The purpose of the integration is practical: each component addresses a different failure mode that appears when breakout systems rely on only one dimension of evidence. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee profitability. Backtest outcomes are hypothetical and derived from historical data. Live trading includes slippage, execution variance, and market conditions that can differ materially from historical results.
استراتيجية Pine Script®
من ‎officialjackofalltrades‎
Aegis Liquidity Ledger [JOAT]Aegis Liquidity Ledger Introduction Aegis Liquidity Ledger is an open-source liquidity pressure indicator built to answer a specific execution question: Where is directional pressure being sourced, and where has that pressure already left behind a meaningful area of interest? The script approaches that problem through two linked components: a volatility-normalized pressure oscillator shelf detection and origin-zone mapping The oscillator explains whether participation is pushing in a bullish or bearish direction. The shelf and origin logic explains where that pressure emerged from. This separation is intentional. It gives traders both the why and the where without forcing everything into a single overlay object. Core Concepts 1. Composite Pressure Engine The script blends multiple rate-of-change windows into one composite pressure signal. Short-term impulse and slower campaign participation are both included so the output does not depend on a single lookback length. 2. Volatility-Normalized Thresholds The pressure signal is measured against its own recent standard deviation rather than a fixed threshold. This allows the expansion bands to adapt to the instrument and timeframe being viewed. 3. Shelf Detection The script scans for repeated upper and lower interactions using body extremes and wick touches. That makes the shelf logic more sensitive to areas where liquidity may have repeatedly rested. 4. Expansion Origin Zones When pressure transitions through an adaptive bound on a confirmed bar, the script creates a source zone around the origin candle that preceded the release. This zone remains relevant until price fully accepts through it. 5. Mitigation Logic Shelves are not removed immediately. They remain live until price fully accepts through the opposite side of the zone, after which they are visually de-emphasized as mitigated. Features Four-window pressure model: fast, medium, slow, and macro ROC blended together Pressure smoothing: EMA smoothing controls oscillator responsiveness Adaptive expansion thresholds: thresholds scale with recent pressure volatility Normalized oscillator: pane output compresses pressure into an interpretable range Demand and supply shelves: persistent shelf zones are drawn directly on the chart Origin-zone logic: shelf creation is tied to confirmed expansion events Touch and intensity tracking: shelf labels summarize interaction count and density Mitigation state: zones are visually softened after full acceptance through them Pressure-based candle coloring: optional chart bars reflect dominant liquidity pressure Institutional dashboard: dashboard summarizes pressure, compression, shelf dominance, and state Input Parameters Pressure Engine Fast ROC Medium ROC Slow ROC Macro ROC Pressure Smoothing Expansion Threshold Multiplier Liquidity Shelves Shelf Window Shelf Width ATR Max Live Shelves Per Side Show Expansion Origin Zones Show Shelf Labels Display Show Pressure Fill Show Expansion Glow Show Zero Line Color Candles By Pressure Dashboard Position Dashboard Size How to Use This Indicator Step 1: Read Pressure Before Reading Shelves Start in the pane. If the pressure engine is neutral or compressed, shelf interactions are more likely to behave as reaction zones than true continuation sources. Step 2: Watch for Confirmed Expansion New shelves matter most when they are created by a confirmed expansion through the adaptive threshold. That is the moment the script treats the move as meaningful enough to register an origin. Step 3: Distinguish Live From Mitigated Zones Fresh shelves are stronger contextual references than mitigated shelves. Once a zone has been fully accepted through, it should be treated as reduced context rather than untouched inventory. Step 4: Compare Upper and Lower Density The interaction counts and intensity values help frame whether the instrument has built more meaningful supply or demand shelves in the current environment. Step 5: Combine With Structure Aegis Liquidity Ledger is not a standalone regime classifier. It works best beside structure or session tools that explain the broader context around the pressure source. Indicator Limitations Liquidity shelves are inferred from price behavior, not from direct order book or market-by-order data Aggressive settings can create more shelves than slower traders may want to track Pressure normalization adapts to the instrument, but abrupt volatility shocks can still distort thresholds temporarily A shelf is an area of contextual interest, not a guarantee of reversal or continuation Originality Statement Aegis Liquidity Ledger is structured around the relationship between a normalized pressure oscillator and persistent source-zone shelves. Its design emphasizes where pressure comes from, how dense liquidity has been on each side of price, and whether a prior source has been mitigated, rather than simply plotting another momentum line. Disclaimer This indicator is provided for educational and informational purposes only. It is not a recommendation to trade and should not be interpreted as financial advice. All shelf and pressure readings are model-based interpretations of chart data and can fail under changing market conditions. Always use independent analysis and risk management.
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Vesper Divergence Cascade [JOAT]Vesper Divergence Cascade Introduction Vesper Divergence Cascade is an open-source divergence and response-structure overlay built around RSI pivots and a smoothed T3 ribbon. It detects regular and hidden bullish or bearish divergence, then maps the likely response area with projected zones, corridors, and target guides directly on the chart. The problem this script solves is incomplete divergence analysis. Many divergence tools draw a line and stop there. That leaves the user without context about whether the move is aligned with local structure, whether the divergence developed in an overbought or oversold condition, and where price might respond if the divergence matters. Vesper Divergence Cascade adds that missing structure. Core Concepts 1. Pivot-Based Divergence Detection Confirmed price pivots are stored alongside the RSI value that existed at the pivot bar. This allows the script to compare current and prior pivot pairs without relying on unstable future references. Regular and hidden divergence types are evaluated independently on both highs and lows. 2. Ribbon Context Filter The T3 ribbon acts as a directional and location filter. Divergence can optionally require price to be extended beyond the ribbon in the direction of the stretch before the event is accepted. 3. Response Zones And Corridors When a divergence confirms, the script can project a response zone, midpoint line, reaction corridor, and target line forward from the pivot area. This turns divergence from a simple signal marker into a structured response map. 4. Signal Quality Context The script uses RSI delta, ATR-normalized price displacement, cooldown logic, and optional overbought or oversold context to grade whether a divergence is meaningful enough to display. Features Regular bullish and bearish divergence: Reversal-oriented pivot disagreement Hidden bullish and bearish divergence: Continuation-oriented pivot disagreement T3 ribbon filter: Smoothed directional context layer Reaction envelopes: Premium and discount response bands around ribbon center Response zones: Forward areas projected from the active divergence Reaction corridors: Larger projected path zones for follow-through context Target lines: Simple objective guides derived from ATR structure Signal labels: On-chart labels with response type and quality readout Pivot dots and reset markers: Optional event markers for visibility Dashboard: Displays RSI, zone state, ribbon state, cooldown, and active signal Confirmed pivots only: Divergence prints only after pivot confirmation Input Parameters RSI Core And Divergence: RSI source and length Overbought and oversold levels Pivot length and divergence window Regular and hidden divergence toggles Quality And Display: Signal cooldown Minimum RSI delta Minimum ATR move Extreme-condition requirement Ribbon-filter requirement Ribbon, pivot dots, dashboard, response zone, signal label, and reaction corridor toggles How to Use This Indicator Step 1: Identify whether the latest signal is regular or hidden, because they imply different response behavior. Step 2: Check whether the signal formed in overbought or oversold context and whether the ribbon was supportive. Step 3: Use the response zone and corridor as a framework for how price may react rather than as a guaranteed destination. Step 4: Use reset markers to track whether momentum is rebalancing after the divergence. Step 5: Prefer divergence that forms after visible extension, not in flat neutral conditions. Indicator Limitations Pivot confirmation introduces intentional delay because divergence is only known after the pivot is confirmed Divergence can persist or fail completely during strong trends Hidden divergence is continuation-oriented and should not be interpreted the same way as regular divergence Projected zones and targets are analytical guides, not forecasts Originality Statement Vesper Divergence Cascade is original in how it combines pivot-stored RSI divergence, a T3 ribbon context filter, response envelopes, projected zones, and reaction corridors inside one divergence workflow. The script is designed to explain what kind of divergence formed, where it formed, and how price may structurally respond afterward. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Divergence is a contextual tool and can fail repeatedly during persistent trends, so all use should include independent analysis and risk management. -Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Obsidian Regime Ribbon [JOAT]Obsidian Regime Ribbon Introduction Obsidian Regime Ribbon is an open-source trend-state and execution-context overlay built to classify directional conditions before a trader applies any separate entry model. Instead of using a single moving average or one oscillator threshold, it combines an adaptive range filter, efficiency ratio, ADX strength, choppiness, momentum confirmation, higher-timeframe bias, and EMA alignment into one chart layer. The problem this script solves is regime confusion. Traders often apply trend-continuation logic in compression or try fading price while directional participation is still strong. Obsidian Regime Ribbon provides a structured state model with a filtered regime line, layered expansion bands, reclaim signals, stretch tags, execution rails, and a compact dashboard so the user can read whether price is trending cleanly, overextending, or losing sponsorship. Core Concepts 1. Adaptive Range Filter The central filter line is not a static moving average. It uses ATR distance and an efficiency-ratio-driven multiplier so the filter widens during noisy conditions and tightens when price movement becomes more directional. 2. Multi-Factor Regime Gate ADX checks directional strength, choppiness checks compression, momentum confirms directional pressure, higher-timeframe EMA bias provides external context, and EMA spread measures local alignment. These conditions feed a scorecard so the user can separate weak drift from stronger directional structure. 3. Expansion And Reclaim Framework Four ATR-derived bands are projected above and below the regime filter. Confirmed regime shifts create labeled accumulation or distribution windows. Pullback reclaim signals print only after price revisits the regime line and closes back through it on a confirmed bar. 4. Execution Rails Confirmed shifts and reclaim events create forward execution rails and zones directly on the chart. In bullish conditions they behave as demand rails, and in bearish conditions they behave as supply rails. Features Adaptive regime filter: ATR-based directional filter with efficiency-ratio adaptation Layered regime bands: Four expansion bands above and below the filter EMA structure cloud: Fast and slow structure means with directional fill Confirmed regime shift labels: Bullish and bearish shifts print only after confirmation Reclaim signals: Diamond markers when price reclaims the regime line Execution rails: Demand and supply rails with right-edge price labels Stretch tags: Labels when price reaches extreme premium or discount relative to the filter Expansion markers: Additional markers when price pushes through secondary band thresholds State-based candle coloring: Candle tint changes with regime and score strength Dashboard: State, conviction, age, ER, ADX, chop, stretch, HTF alignment, and shift counts Confirmed-bar logic: Regime changes and reclaim signals are designed for confirmed bars only Input Parameters Engine: Range Length and Range Multiplier control the core filter sensitivity Efficiency Length controls how quickly adaptation reacts to directional efficiency Base Confirm Bars controls how many bars are required before a regime shift is locked Stretch Threshold defines when a move is considered overextended in ATR terms Filters And Display: ADX, choppiness, momentum, and higher-timeframe controls define the regime gate Regime band, filter line, candle color, dashboard, execution zone, and stretch tag toggles How to Use This Indicator Step 1: Read the current regime from the dashboard and candle state first. Step 2: Use the conviction score to decide whether the trend is fully structured or transitional. Step 3: Watch regime shift labels to identify when directional control changes. Step 4: Use reclaim diamonds and execution rails as retracement reference instead of chasing outer-band extensions. Step 5: Treat stretch tags as caution zones where reward-to-risk may deteriorate. Indicator Limitations Adaptive filters can still lag the first bar of a sharp reversal because confirmation is intentionally delayed Higher-timeframe alignment can temporarily disagree with local price rotation during early reversals Stretch conditions do not guarantee reversal; they only identify extended distance from the filter This script is a context overlay, not a complete trading system by itself Originality Statement Obsidian Regime Ribbon is original in the way it combines an adaptive range-state engine, multi-factor regime gate, expansion-band framework, reclaim signals, and forward execution rails into one integrated context overlay. The purpose is not to merge unrelated tools, but to build a single decision layer that explains trend state, extension, and pullback quality together. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Regime, reclaim, and stretch conditions are derived from historical price behavior and do not guarantee future outcomes. Always use independent analysis and risk management. -Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Noctis Parallel Geometry [JOAT]Noctis Parallel Geometry Introduction Noctis Parallel Geometry is an open-source channel-construction and ratio-lattice overlay designed to organize price into ascending or descending parallel structures built from confirmed pivots. It maps primary boundaries, internal levels, stretch lines, and dynamic tracking projections so the user can see where price is moving inside a broader geometric framework. The problem this script solves is inconsistent channel drawing. Manually drawn channels vary from user to user, and many automatic channel tools do not show how the geometry was constructed or how price is behaving inside it after the channel is established. Noctis Parallel Geometry turns confirmed pivot relationships into a persistent structure with historical roll-forward behavior. Core Concepts 1. Pivot-Driven Channel Construction Ascending geometry is built from two confirmed pivot lows plus the opposing pivot high that defines channel height. Descending geometry is built from two confirmed pivot highs plus the opposing pivot low. This creates a parallel structure rather than a freehand trendline. 2. Ratio Lattice Once the main channel is built, the script can add internal reference levels and stretch levels. These help the user see whether price is rotating around the midline, respecting inner rails, or pushing into extended geometry. 3. Historical Channel Preservation When a new active geometry forms, the previous one can be rolled into history instead of being deleted. Historical channels are shifted and preserved so the user can study how prior geometry resolved. 4. Dynamic Projection Tracking The script can project a live tracking geometry from the most recent active pivot anchor and evolving extreme. This provides a developing path while the full next confirmed channel is still incomplete. Features Ascending and descending channel construction: Built from confirmed pivot relationships Primary channel rails: Base and top boundaries Inner ratio levels: Optional internal guidance lines Stretch levels: Optional extension rails beyond the main channel Historical geometry retention: Previous channels can remain on-chart Dynamic tracking projection: Live provisional geometry based on current extremes Pivot tags: Optional pivot markers for transparency Dashboard: Displays active geometry mode and structural information Input Parameters Channel Engine: Pivot Length Extend Active Geometry Show Historical Geometry Historical Channel Count Show Dynamic Projection Ratio Lattice And Display: Inner-level toggle Stretch-level toggle Historical projection offset Pivot-tag and dashboard toggles How to Use This Indicator Step 1: Identify whether the active geometry is ascending or descending. Step 2: Use the midline and inner rails to gauge whether price is rotating cleanly or losing internal balance. Step 3: Use stretch levels as warning areas where price is pushing beyond normal channel behavior. Step 4: Compare active geometry with preserved historical geometry to see whether the market is reusing or abandoning prior pathing. Step 5: Treat dynamic tracking as provisional context until a fully confirmed new channel is formed. Indicator Limitations Channels only update after pivot confirmation, so geometry changes are intentionally delayed to avoid repainting Fast regime changes can invalidate a channel before price spends much time respecting it Dynamic tracking lines are exploratory guidance, not confirmed structure This indicator describes geometry; it does not by itself determine direction or trade quality Originality Statement Noctis Parallel Geometry is original in how it turns confirmed pivot relationships into a parallel-channel engine with internal lattice levels, stretch rails, historical roll-forward geometry, and live tracking projection. These parts work together to create a coherent geometric framework rather than a simple trendline overlay. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Channel geometry can fail abruptly in volatile or event-driven conditions, so all analysis should be paired with appropriate risk controls. -Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Meridian Structure Lattice [JOAT]Meridian Structure Lattice Introduction Meridian Structure Lattice is an open-source market structure and zone-mapping overlay designed to visualize how price interacts with prior swing liquidity, displacement, fair value gaps, structural blocks, and supply-demand regions. It focuses on the structural side of chart reading rather than on generic trend-following averages. The problem this script solves is fragmentation. Traders often need separate tools for BOS detection, sweep identification, imbalance mapping, and supply-demand marking. Meridian Structure Lattice consolidates those ideas into one coordinated structure model so the user can see which event happened, where it happened, and which zones remain active or invalidated afterward. Core Concepts 1. Pivot-Based Structure Engine Confirmed swing highs and lows are tracked with symmetric pivot logic. Those pivots become the active structural reference points for bullish and bearish breaks, as well as the levels that can later be swept without closing through them. 2. BOS Versus Shift Logic When price closes beyond the latest active pivot high or low, the script classifies the event relative to the existing structure bias. Continuation breaks are labeled as BOS, while breaks against the prior bias are labeled as shifts. 3. Liquidity Sweeps Sweeps occur when price trades beyond a stored pivot but closes back through it. These are displayed with event lines anchored to the original pivot zone rather than floating labels only. 4. Zone Families The script can create and maintain fair value gaps, structural blocks, and ATR-width supply-demand zones. Each zone extends forward, can display a midpoint, can show a live price label on the right edge, and changes state when price mitigates it. Features Pivot-confirmed structure model: Swing highs and lows drive all event logic Bullish and bearish BOS detection: Confirmed continuation breaks Bullish and bearish shift detection: Regime-sensitive structural reversals Liquidity sweep detection: Wick-through and close-back behavior against stored pivots Fair value gap zones: Bullish and bearish imbalance regions Structural blocks: Structure-derived reaction zones that can be upgraded after displacement Supply and demand mapping: ATR-scaled zones projected forward Zone midlines and price labels: Optional midpoint and right-edge price tagging Mitigation logic: Zones can retire on close-through or wick-through behavior Dashboard: Active zone counts, last event, sweep age, displacement state, and pivot spread Confirmed-bar mode: Events can be restricted to confirmed candles only Input Parameters Structure: Swing Length controls structural sensitivity BOS, sweep, and label toggles control the event layer Zones And Display: Fair value gap, structural block, and supply-demand toggles Supply-demand ATR width and maximum active zones per side Displacement threshold, mitigation mode, confirmed-bar requirement, midline, price label, dashboard, and forward extension settings How to Use This Indicator Step 1: Identify the most recent event in the dashboard to understand whether structure is breaking or only sweeping. Step 2: Use BOS and shift labels to determine whether the current break is continuation or reversal behavior. Step 3: Use sweeps as failed acceptance signals around prior liquidity. Step 4: Use active zones as forward reference areas for mitigation, continuation, or rejection. Step 5: Monitor whether a zone remains active or has already been invalidated before treating it as tradeable. Indicator Limitations Pivot logic confirms after the pivot forms, so structural labels intentionally appear with delay to avoid repainting Fast moves may skip through multiple nearby zones before the chart can display a clean response Zone families are analytical references, not guaranteed reversal areas Dense structure on lower timeframes can still require selective display settings for clarity Originality Statement Meridian Structure Lattice is original in the way it coordinates structural events and multiple forward zone families inside a single non-repainting framework. The different components are not merged for convenience alone; they are combined because BOS, shifts, sweeps, blocks, gaps, and supply-demand zones describe different parts of the same structure narrative. Disclaimer This indicator is provided for educational and informational purposes only. It does not provide financial advice or guaranteed support and resistance levels. Structural events and zones are derived from historical price behavior and should be used with disciplined risk management. -Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Concord Execution Mandate [JOAT]Concord Execution Mandate Introduction Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger. The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls. Core Concepts 1. Regime And Context Layer The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution. 2. Structural And Rotation Triggers Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA. 3. Soft Alignment Model Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting. 4. Risk Management Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially. Features Adaptive regime filter: Core state engine for directional context Higher-timeframe bias: Optional EMA-based external direction filter Structure triggers: Confirmed BOS logic using stored pivots Continuation and rotation entries: Additional execution paths beyond BOS Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring Reversion reclaim logic: Optional re-entry through a mean basis before entry Divergence safety filter: Optional block on fresh opposing divergence ATR and structure-based stops: Dynamic risk anchoring Reward targets and ATR trailing: Structured exit management Context-flip exits: Early closure when regime or bias reverses Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties Default Strategy Properties Initial capital: 100000 Default order size: 5 percent of equity Commission: 0.02 percent Slippage: 2 ticks Order processing: on bar close Pyramiding: 0 How to Use This Strategy Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed. Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample. Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested. Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results. Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment. Strategy Limitations This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals More aggressive settings can increase trade count at the cost of lower selectivity Higher-timeframe bias can conflict with local execution context during turning points Backtest results depend on symbol, timeframe, session behavior, and execution assumptions This strategy is designed to be realistic, not optimized for one narrow market condition Originality Statement Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management. -Made with passion by jackofalltrades
استراتيجية Pine Script®
من ‎officialjackofalltrades‎
Cadence Reversion Cartography [JOAT]Cadence Reversion Cartography Introduction Cadence Reversion Cartography is an open-source mean-reversion and exhaustion overlay designed to locate stretched conditions around an EMA envelope and anchored VWAP framework. It focuses on mapping where price has moved too far from local balance, then grades whether a return toward value has enough supporting evidence to matter. The problem this script solves is selective reversal timing. Price can stay overextended for longer than expected, so simple band-touch logic is not enough. Cadence Reversion Cartography combines envelope stretch, VWAP stretch, RSI exhaustion, volume impulse, rejection-candle behavior, reclaim logic, and projected response boxes so the user can distinguish weak touches from stronger reversion candidates. Core Concepts 1. Dual Stretch Model Price is compared to both an EMA deviation envelope and an anchored VWAP deviation layer. A long-side exhaustion condition requires price to stretch below both lower references. A short-side exhaustion condition requires price to stretch above both upper references. 2. Exhaustion Quality Filters RSI can require oversold or overbought context, volume can require impulse relative to average participation, and candle structure can require a visible rejection profile. 3. Reclaim And Signal Grading A setup becomes actionable only after price closes back inside the envelope on a confirmed bar. The script then scores the setup by counting how many filters aligned and promotes stronger signals to a prime grade. 4. Projection Mapping When a setup forms, the script can draw a forward projection with a risk box, reward box, signal zone, and reclaim line. This is meant to show the structure of the reversion idea rather than acting as a promise of outcome. Features EMA reversion envelope: Basis plus statistical deviation bands Anchored VWAP stretch layer: Secondary value reference around VWAP RSI exhaustion filter: Optional momentum exhaustion gate Volume impulse filter: Optional participation confirmation Rejection-candle filter: Optional candle-structure confirmation Signal grading: Standard and prime long or short responses Signal zones and reclaim lines: On-chart response structure around the active setup Risk and reward projection boxes: Optional forward mapping of stop and target structure Context candle coloring: Candles can tint with stretch state Dashboard: Displays stretch, setup bias, and active context Input Parameters Reversion Envelope: Channel Length Deviation Multiplier VWAP Stretch Multiplier Filters And Display: RSI settings Volume average and impulse multiplier Rejection-candle requirement Projection-box toggle, stop percent, reward multiple, projection length, and signal cooldown Dashboard, background, candle-color, and signal-zone toggles How to Use This Indicator Step 1: Wait for price to stretch beyond both the EMA envelope and the VWAP stretch layer. Step 2: Check whether RSI, volume, and rejection filters support the move. Step 3: Wait for confirmed re-entry back inside the envelope instead of fading the first touch. Step 4: Use the signal grade and projection structure to judge whether the setup is marginal or stronger. Step 5: Use the basis and reclaim line as the first balance reference after entry. Indicator Limitations Strong directional trends can keep price stretched for extended periods and delay reversion Volume-based confirmation is less meaningful on symbols with irregular volume reporting Projection boxes are planning tools, not guaranteed outcomes This script is designed for reversion analysis and is not intended to replace broader trend context Originality Statement Cadence Reversion Cartography is original in how it coordinates envelope stretch, VWAP stretch, filter-based exhaustion grading, and forward projection structure inside one reversion workflow. The components are combined to answer one analytical problem: not just whether price is stretched, but whether the stretch is mature enough to support a structured return toward value. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Reversion setups can fail during strong trends or regime expansion, so all signals should be used with independent confirmation and risk management. -Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Asterion Level Weave [JOAT]Asterion Level Weave Introduction Asterion Level Weave is an open-source reference-level and directional-bias overlay built around daily pivots, weekly pivots, a weighted EMA weave, and opening-range structure. Its purpose is to show where price is located relative to higher-order reference levels while also showing whether internal directional pressure is aligned with those levels. The problem this script solves is context stacking. Traders frequently use pivot lattices, moving averages, and opening ranges separately, then mentally combine them. Asterion Level Weave places those components into one framework so the user can evaluate premium versus discount location, directional weave bias, and session structure from a single chart layer. Core Concepts 1. Daily And Weekly Pivot Lattice The script calculates prior-day and prior-week pivot references and extends them forward on the chart. Daily pivot, R1, S1, R2, and S2 create the near-term lattice, while weekly pivot references provide a slower macro anchor. 2. Weighted EMA Weave Instead of averaging EMAs equally, the script weights multiple EMAs by their recent slope magnitude. This gives more influence to the parts of the curve that are moving with stronger directional intent. 3. Equilibrium And Location Model The script derives an equilibrium box around the daily pivot and uses price location relative to that structure to frame premium, discount, and balance. 4. Opening Range Structure An opening-session range is captured and projected forward with a midpoint reference. This adds a session-specific structure layer that can be compared against pivot and weave alignment. Features Daily pivot lattice: D-pivot, R1, S1, R2, and S2 with forward extension Weekly pivot lattice: Weekly pivot references for broader context Daily equilibrium box: Optional box around the central daily balance zone Weighted EMA weave: Multi-EMA directional cloud with weighted centerline Location labeling: Right-edge labels for major active references Opening range projection: Session range and midpoint extension Directional candle tint: Candle state can reflect weave direction Dashboard: Displays location, directional bias, pivot state, and opening structure context Higher-order reference integration: Daily, weekly, session, and EMA structure in one chart layer Input Parameters Reference Levels: Daily and weekly pivot toggles Forward extension controls Equilibrium box toggle Ribbon Engine And Display: EMA weave toggle, centerline toggle, ribbon smoothing, and slope lookback for weighting Opening range session and extension Dashboard, candle-color, and background toggles How to Use This Indicator Step 1: Determine whether price is trading above or below the daily pivot and weekly pivot. Step 2: Use the weave centerline and cloud direction to judge whether internal momentum aligns with that location. Step 3: Treat the equilibrium box as a balance region and the pivot lattice as directional reference. Step 4: Use the opening range and midpoint to see whether the session is accepting above or below initial balance. Step 5: Prefer trades where location, weave bias, and opening-range behavior point in the same direction. Indicator Limitations Pivot references are static for the active session and do not adapt intraday until the next period begins The weighted weave still relies on lagging EMA calculations and will trail abrupt reversals Opening range significance depends on the instrument and session chosen This script is best used as a context framework rather than as a standalone entry trigger Originality Statement Asterion Level Weave is original in how it combines forward pivot lattices, a slope-weighted EMA weave, and opening-range structure into one location-versus-bias framework. Each component answers a different part of the same question: where price is, how it is moving, and how the active session is organizing around reference levels. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Pivot levels, equilibrium zones, and moving-average structure are analytical tools and should not be treated as guaranteed reaction levels. -Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Torsion Range [JOAT]Torsion Range Introduction Torsion Range is an open-source compression, expansion, and wave-energy panel designed to track whether the market is coiling, releasing, trending, or exhausting. The script combines wave direction, weighted energy accumulation, compression scoring, and exhaustion logic into one regime-aware panel. The problem Torsion Range solves is fragmentation between wave tools and volatility tools. Traditional wave studies often ignore whether the market is compressing or expanding, while compression indicators often ignore directional wave state. Torsion Range merges both worlds so the user can monitor directional energy and structural volatility state together. Core Concepts 1. Wave Direction Engine The script supports multiple methods for determining directional wave state, including impulse, pressure, and hybrid behavior. This allows the model to adapt to different styles of price movement. 2. Weighted Energy Accumulation Wave state is not just directional. It is weighted by body, range, ATR context, and optional relative volume to produce a more informative torsion core. 3. Compression Index A 0-100 compression framework is built from fast and slow comparisons of range, body, and energy behavior. This allows the indicator to identify tight conditions before release. 4. Release and Exhaustion Logic Confirmed-bar release events occur when compression gives way to directional expansion. Exhaustion logic looks for overstretched waves with weakening internal behavior. 5. Dashboard and Regime Visualization The panel includes adaptive colors, background overlays, event flashes, and a top-right dashboard that summarizes wave state, bias, compression, and most recent event. Features Multi-method wave direction: Impulse, pressure, or hybrid state engine Weighted energy accumulation: Uses price and optional relative volume Compression scoring: Tracks coiling conditions on a normalized scale Confirmed release logic: Detects transition from compression to directional expansion Exhaustion detection: Flags overextended wave conditions Adaptive gradient styling: Institutional panel presentation for dark charts Regime overlays and event flashes: Highlights important state transitions cleanly Top-right dashboard: Summarizes live wave and compression state Confirmed event mode: Optional bar-close only event gating Alertconditions: Wave flips, release events, and exhaustion states How to Use This Indicator Step 1: Read the Wave State Determine whether directional energy currently favors bullish, bearish, or neutral behavior. Step 2: Check Compression High compression means stored energy but not yet confirmed release. Low compression with directional energy implies active movement rather than coiling. Step 3: Watch Release Events Release events matter most when they occur after genuine compression and align with the active wave bias. Step 4: Respect Exhaustion Exhaustion conditions can warn that a strong wave is becoming less efficient, even if trend has not yet fully reversed. Indicator Limitations Compression and exhaustion are relative, not absolute, conditions Wave direction depends on the selected method and will respond differently across market types This panel does not identify exact reversal bars and should not be treated as one Release events are strongest when combined with separate structural context Originality Statement Torsion Range is original in its fusion of wave-state persistence, weighted energy accumulation, compression analysis, and exhaustion logic within one panel. It is not a basic Weis-style clone and not a plain volatility gauge. Its value comes from combining directional energy and volatility state into a single workflow. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Compression, release, and exhaustion states are analytical conditions derived from historical chart behavior and do not guarantee future outcomes. - Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Parallax Covenant Strategy [JOAT]Parallax Covenant Strategy Introduction Parallax Covenant Strategy is an open-source, non-repainting TradingView strategy that integrates multiple analytical engines into one realistic execution framework. It combines regime detection, pressure confirmation, mapped bias, structure context, wave release logic, and ATR-based risk management to produce entries and exits only when several independent conditions agree. The problem this strategy solves is weak single-factor trading. A crossover alone is rarely enough. A structure break alone is often early. A momentum spike alone can be noisy. Parallax Covenant requires alignment between regime, internal pressure, mapped bias, structural context, and release behavior before taking a trade. This creates a more selective, context-aware model than a one-indicator strategy. Core Concepts 1. Composite Regime Engine The strategy builds a directional regime from a structural baseline, tolerance corridors, and expansion/compression state. This acts as the primary directional context. 2. Pressure Confirmation An internal pressure model blends weighted candle force and channel position to avoid taking trades simply because price is above or below a baseline. 3. Mapping and Higher-Timeframe Bias The strategy uses a mapped momentum framework and an optional confirmed higher-timeframe bias filter so lower-timeframe entries can align with broader conditions. 4. Structure and Release Filters Demand and supply context, swing structure, and release-from-compression logic help prevent entries from firing in the middle of low-quality noise. 5. Realistic Risk Management The strategy uses ATR-based stops, reward-to-risk targets, optional trailing logic after a minimum multiple of risk, and regime-failure exits. This makes the model more realistic than fixed-tick toy strategies. Features Multi-engine entry stack: Regime, pressure, mapping, structure, and release alignment Confirmed-bar logic: Entry conditions are evaluated on confirmed bars Optional higher-timeframe bias filter: Uses confirmed higher-timeframe values Demand and supply context: Trade logic includes structural location awareness ATR stop and target model: Risk adjusts to symbol volatility Trailing stop activation: Trail can engage after a defined reward threshold Regime-failure exit: Closes trades when core directional conditions break down Maximum time-in-trade control: Avoids stale positions Institutional dashboard: Top-right strategy state summary Alertconditions: Regime shifts, releases, and setup confirmations How to Use This Strategy Step 1: Study the Dashboard The dashboard shows whether the system currently sees bullish, bearish, or balanced conditions and how the internal engines align. Step 2: Understand the Entry Stack Trades only trigger when multiple conditions confirm together. If you see a setup fail to trigger, that is often intentional filtering rather than a bug. Step 3: Respect the Risk Model Stops and targets are volatility-based. Results will vary materially across symbols and timeframes because the strategy adapts to local ATR conditions. Step 4: Evaluate by Regime, Not by Individual Trade This strategy is meant to be judged over a broad sample. It is a context-and-confirmation model, not a scalping script trying to predict every turn. Strategy Limitations The strategy is intentionally selective and may skip many charts or periods Higher-timeframe confirmation uses confirmed data and can therefore feel slower than live-developing bias models ATR-based exits adapt to volatility, which means trade statistics can shift significantly across markets No strategy can remove all adverse conditions, especially during sudden event-driven repricing Originality Statement Parallax Covenant Strategy is original in the way it integrates multiple distinct analytical engines into one non-repainting framework. It is not a basic moving average crossover, not a single-oscillator strategy, and not a toy example of ATR stops. Its value comes from requiring alignment between market regime, internal pressure, mapped bias, structure, and release conditions before entering risk. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Historical backtest results do not guarantee future performance. Always use realistic expectations, proper risk management, and independent judgment. - Made with passion by jackofalltrades
استراتيجية Pine Script®
من ‎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
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Cartograph Bands [JOAT]Cartograph Bands Introduction Cartograph Bands is an open-source price-space mapping overlay that translates internal momentum and regime pressure into adaptive bands around price. Instead of displaying momentum in a separate pane and forcing the user to mentally translate it back into price context, the script projects a composite regime score directly into layered price envelopes. The problem Cartograph Bands solves is disconnected interpretation. Oscillators can show strength or weakness, but they often fail to communicate where that state matters on the chart. Cartograph Bands closes that gap by converting internal regime intensity into inner, outer, and far price-space bands, then combining that with multi-timeframe confirmation and volatility-state transitions. Core Concepts 1. Composite Momentum Engine The script blends several internal measurements including RSI, CMO, ROC normalization, and slope behavior to create a bounded momentum/regime score. This reduces reliance on any single oscillator. 2. Price-Space Mapping That composite score is mapped into adaptive offsets around price using ATR and standard deviation inputs. The result is a set of bands that express regime intensity as chart structure rather than as a separate panel line. 3. Layered Band Geometry Three band families are used: Inner bands for local equilibrium Outer bands for state extension Far bands for exceptional displacement 4. Non-Repainting Higher Timeframe Confirmation Confirmed higher-timeframe values are requested using offset expressions and lookahead handling intended to avoid future leakage on historical bars. 5. Compression and Expansion State Tracking Cartograph Bands also classifies whether the current market state is compressing or expanding, which gives context to outer-band tests and re-entry events. Features Composite momentum model: Multiple internal regime factors instead of one oscillator Mapped price-space bands: Regime intensity projected directly onto chart structure Inner, outer, and far layers: Different depths of price displacement MTF confirmation dashboard: Top-right summary with higher-timeframe agreement context Compression and expansion tracking: Identifies volatility-state transitions Outer-band re-entry events: Useful for exhaustion or reacquisition studies State candle tinting: Visual context without heavy marker clutter Gradient cloud system: Layered institutional-style fills Confirmed-signal mode: Optional bar-close confirmation behavior Alertconditions: Regime flips, re-entry, expansion, compression, and MTF conflict How to Use This Indicator Step 1: Read the Band State Price inside the inner structure implies local balance. Sustained travel into outer and far layers implies stronger directional pressure. Step 2: Check the Dashboard Use the dashboard to confirm whether the chart-timeframe state aligns with higher-timeframe conditions. Step 3: Watch Re-entry Behavior Re-entry from outside the outer band can highlight exhaustion or failed extension, especially when expansion begins to fade. Step 4: Use Compression and Expansion as Context A compression state reduces the importance of directional interpretation. Expansion after compression matters more than random outer-band wandering. Indicator Limitations The mapping is adaptive, so band distance changes with symbol volatility Higher-timeframe context is intentionally confirmed and may feel slower than live-developing HTF tools Band interaction alone should not be treated as a complete trade system The script maps internal regime state into price context, but it does not forecast exact reversal points Originality Statement Cartograph Bands is original in the way it blends multiple internal regime measurements and projects them into layered price-space geometry. Its value is not just an oscillator or just bands, but the interaction between regime scoring, mapped offsets, MTF confirmation, and state transitions. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. All mapped bands are analytical references derived from historical price behavior and should be used with sound judgment and risk management. - Made with passion by jackofalltrades
مؤشر Pine Script®
من ‎officialjackofalltrades‎
Moving Average GradientThe 'Moving Average Gradient' (MAG) is basically a measure of the gradient of a moving average. Firstly a moving average (SMA or EMA) is overlayed onto the chart. Then the gradient of this moving average is calculated and plotted below. An optional smoothing average is also applied to the gradient. This MAG is my own invention and is entirely new, as far as I know. I've found it to be useful for divergences. It can also be quite similar to the Stochastic, and works well taking a BUY signal when the gradient crosses over its moving average, and SELL when it crosses under. In fact I backtested both this MAG, and the Stochastic as a comparison, within a strategy using the above signals, and the MAG delivered better results. The strategy on BTCUSD 15 minute also included: * 4hr MACD Signal change > 0.0034 % * 4hr MACD Signal value < 0.5 % ...for BUY, with the opposite for SELL. And if you think that strategy involved writing Pine Script code, then you're probably not familiar with my suite of strategy tools published on here. I was able to very quickly and easily create and backtest that strategy without writing any code at all, using just: * MAG or Stochastic * MACD * Simple BUY/SELL Indicator - to create the strategy rules using the above indicators (or I could've used my Custom BUY/SELL Indicator) * Simple Pyramid Strategy - to run the backtesting strategy (or I could've used my Complex Single Trade Strategy)
مؤشر Pine Script®
من ‎JustinTimeTunes‎