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Volatility Trail [EXCAVO]ATR Percentile Rank Painted as a Semi-Transparent Wave Beneath Every Candle The Volatility Trail takes the four-state volatility regime classification from the standard ATR-percentile model and renders it directly on the price chart as a semi-transparent wave hanging under each candle. The wave reads at a glance: blue under the candles means quiet markets, orange means heating up, red means volatility extremes. No separate indicator pane is required. This is not a basic ATR oscillator. The ATR is normalised against its own historical distribution, smoothed, and classified into four bounded regimes (Low / Normal / Elevated / Extreme) with adjustable thresholds. The on-chart trail is the same engine as the standard Volatility Percentile indicator, just drawn where you actually read price. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator. A coloured wave appears beneath every candle as soon as enough history is available for the percentile lookback to be meaningful (default 200 bars). Step 2 → Read the wave colour: - Blue = Low volatility (compression, mean-reversion regime) - Grey = Normal volatility - Orange = Elevated volatility (trend regime) - Red = Extreme volatility (top decile, exhaustion risk) Step 3 → Watch transitions. A switch from blue to orange flags a breakout out of compression. A switch from red back to orange flags a release from extreme volatility - often the right side of a spike. The floating state badge to the right of the last candle shows the current regime name at a glance. Step 4 → Check the dashboard. State, raw percentile, ATR, ATR / Price, and Vol Trend show the current regime numerically. Use these to size positions and pick filters that depend on volatility. Step 5 → Combine with structure. The trail is a context tool, not a directional one - it tells you HOW volatile the market is, not WHICH way it will move. Pair it with your own setup criteria. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ ATR Percentile Rank The base measure is Average True Range over the user-set length (default 14). For every bar the current ATR is ranked against its own values over the Lookback Period (default 200): percentile = 100 x rank / N. A value of 90 means current volatility is higher than 90 percent of bars in the lookback window. This normalisation makes the reading comparable across instruments and timeframes - 90th-percentile vol on BTC and on EURUSD are both rare even though their absolute ATRs differ by orders of magnitude. ◆ Smoothing The raw percentile is smoothed with a short SMA (default 3) to reduce single- bar noise. Smoothing = 1 disables this step. ◆ Four-State Classification The smoothed percentile is bucketed into four regimes: - Low = below Low / Normal boundary (default 25) - Normal = between Low / Normal and Normal / Elevated (default 25 to 60) - Elevated = between Normal / Elevated and Elevated / Extreme (default 60 to 80) - Extreme = at or above Elevated / Extreme (default 80) All three boundaries are user-adjustable. ◆ Candle-Anchored Downward Wave A semi-transparent band hangs directly under each candle. The upper edge is the bar's low, lightly EMA-smoothed so single-bar wick spikes do not poke through the ribbon. The lower edge drops below by an ATR-scaled distance: drop = ATR x (1 + percentile x Wave Distance Scale). At calm regimes the wave is a thin sliver under price; at volatile extremes it extends well below. The colour is the active state colour, and the opacity within each state band is gradient (see next item). ◆ Within-Band Opacity Gradient The wave colour is the state colour (blue / grey / orange / red), but the opacity is not flat across each state - it ramps from Min Opacity at the LOWER edge of the band (regime just entered) to Max Opacity at the UPPER edge (peak of the regime, about to graduate to the next state). So a fresh red band that just crossed into Extreme is light red, while a red band at percentile 95 is a deep saturated red. The same gradient applies inside the Low / Normal / Elevated bands. This lets you read at a glance whether the current regime is just beginning, peaking, or about to fade into the next state - approach and exhaustion are separately readable inside every band. ◆ Vol Trend ATR is compared to its 20-bar SMA. Above 1.05x SMA = RISING, below 0.95x = FALLING, else STABLE. Shown on the dashboard as a quick second-derivative read of the regime. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Wave Lives On The Price Chart Most volatility indicators occupy a separate pane and force the eye to jump between price action and the oscillator. The wave overlays the same regime information directly on the candles, so price and volatility are read together in one view. ◆ Adaptive Across Instruments Percentile-rank normalisation removes the absolute ATR units. A BTC chart and a EURUSD chart use the same scale (0 to 100), so the same thresholds work everywhere without manual tuning. ◆ Four Bounded Regimes Instead Of A Raw Line A raw ATR plot tells you very little until you have a feel for what is "normal" on that instrument. The four-state classification answers the question directly - quiet, normal, elevated, or extreme - using user-adjustable boundaries. ◆ Within-Band Opacity Gradient Inside each state band the wave opacity ramps from light (just-entered regime) to saturated (regime at its peak). A fresh red band reads as pale red; a deep mature Extreme reads as a saturated red. Approach and exhaustion are separately readable inside every regime, not just on state transitions. ◆ Premium Visual Polish A thin rim-light line follows the upper edge of the wave for definition, and a contrast-aware state badge floats next to the last candle showing the current regime name. The badge text colour is picked automatically by the perceived luminance of the background so the label stays readable on any state colour. ◆ Optional Bar Coloring And Background For users who want the regime even more visible, bar-coloring and background-highlight toggles tint the candles or the chart background with the active state colour. Both default off so the wave stays as the primary visual. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel (top right) with the current regime readout: State - LOW / NORMAL / ELEVATED / EXTREME Percentile - the smoothed ATR percentile (0 to 100) ATR - raw Average True Range ATR / Price - ATR as a percentage of close (instrument-independent) Vol Trend - RISING / STABLE / FALLING based on ATR vs its 20-bar SMA Lookback - the bar count used for the percentile rank Legend table (bottom left) explains every colour. Both panels toggle in the Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Engine ATR Length - 14 (period for the Average True Range) Lookback Period - 200 (historical bars used for the percentile rank) Smoothing - 3 (SMA length applied to the raw percentile; 1 disables it) State Thresholds Low / Normal - 25 (boundary between Low and Normal regimes) Normal / Elevated - 60 (boundary between Normal and Elevated) Elevated / Extreme - 80 (boundary between Elevated and Extreme) Visualization Low Vol Color - blue Extreme Vol Color - red Elevated Vol Color - orange Wave Top Smoothing - 3 (EMA length applied to the wave top; 1 = raw bar low with sharp peaks, 3 to 5 rounds off single-bar spikes while staying tight to price) Wave Distance Scale - 0.025 (controls how far the wave drops below each candle as volatility rises; drop = ATR x (1 + percentile x scale); default keeps drops modest - approximately 1 ATR at Low regime, 3.5 ATR at Extreme) Min Opacity - 25 (wave opacity at the LOWER edge of every state band - just-entered regime; very transparent) Max Opacity - 55 (wave opacity at the UPPER edge of every state band - peak of the regime; visible but kept semi-transparent so the candles stay readable) Wave Top Highlight - ON (thin rim-light line along the upper edge of the wave; adds definition and a premium glow) Right-edge State Label - ON (floating badge next to the last candle showing the current state name in the state color) Bar Coloring - OFF (when ON, also tints the candles with the state color) Background Highlight - OFF (when ON, tints the chart background) Dashboard Show Dashboard - ON Dashboard Position - Top Right Show Legend - ON Alerts JSON Alerts - OFF (when ON, emits a structured JSON payload via alert()) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Extreme Volatility - state just transitioned into Extreme Elevated Volatility - state just transitioned into Elevated Normal Volatility - state just transitioned into Normal Low Volatility - state just transitioned into Low With JSON Alerts ON, the alert() call emits a structured payload with ticker, state, percentile, atr_pct, price, timeframe, and indicator fields - use "Any alert() function call" as the TradingView alert event to receive every state change as JSON on one alert. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Indicador Pine Script®
por EXCAVO
1
Global Forex Session Matrix Overlay🌐 Global Forex Session Matrix Overlay Global Forex Session Matrix Overlay is an educational chart overlay designed to help traders study intraday market behavior using global session timing, key reference levels, trend context, market structure, VWAP, and volume activity in one clean chart view. This tool helps organize important market information such as session ranges, opening ranges, trading day levels, previous day levels, weekly reference areas, moving average trend context, pivot structure, VWAP value areas, and volume-weighted candle behavior. It is mainly useful for forex and gold chart analysis, especially on intraday timeframes. The script includes global market session references such as Asian, Sydney, Tokyo, Frankfurt, London, and New York sessions. These session tools help users observe session highs, session lows, opening ranges, and price reactions around important market timing areas. This can support the study of liquidity movement, breakout behavior, rejection areas, and intraday market rhythm. The overlay also includes key trading day levels such as Trading Day Open, Previous Day High, Previous Day Low, and optional day reference levels. These levels can help traders identify important support and resistance areas, possible breakout zones, and areas where price may react during the trading day. For higher-timeframe context, the script includes reference levels such as Weekly Initial Balance, Weekly Open, Weekly Close, and optional weekly or monthly range tools. These levels can help users understand whether price is trading above or below important weekly reference points and can support a more structured view of market bias. The Moving Average Cloud is included to help traders observe trend direction and dynamic support or resistance. When price is trading above the cloud, users may study bullish structure. When price is trading below the cloud, users may study bearish structure. When price is inside or near the cloud, market direction may be less clear and may require additional confirmation. The VWAP framework can be enabled for value-based analysis. VWAP and optional VWAP bands help users study whether price is trading around value, above value, or below value during the selected anchor period. This can be useful when combined with session levels, structure, and candle confirmation. The Pivot and Market Structure tools help highlight important swing points and developing structure areas. These can support the study of higher highs, higher lows, lower highs, lower lows, and possible structure shifts. Pivot-based elements should be used with confirmation because developing pivots can update before they are fully confirmed. The Volume-Weighted Candle Coloring feature helps users visually identify candles with stronger or weaker volume participation. This can be useful for observing momentum, rejection, continuation, and possible exhaustion around important levels. Volume color should not be used alone as an entry reason and should always be combined with price action and structure. 📌 How to Use and Build Entry Ideas Start by applying the indicator to an intraday forex or gold chart. First, check the active market session and observe where price is trading in relation to the current session range, session high, session low, Trading Day Open, Previous Day High, Previous Day Low, Weekly Open, and Weekly Initial Balance. A bullish trade idea can be studied when price holds above an important reference level, the Moving Average Cloud supports upward structure, and candles confirm strength after a pullback or breakout. Extra confirmation may come from price holding above VWAP, rejecting a session low, breaking above a previous session high, or forming a higher low structure. A bearish trade idea can be studied when price rejects an important resistance area, moves below a key reference level, and the Moving Average Cloud or structure supports weakness. Extra confirmation may come from price failing near Previous Day High, rejecting a session high, moving below VWAP, or forming a lower high structure. Users can also study session range reactions for liquidity context. For example, price reacting around an Asian high or low, New York opening range, Previous Day High, Previous Day Low, Weekly Open, or Weekly Initial Balance can provide useful context. The idea should be confirmed with candle close behavior, market structure, and volume reaction. When price is inside the Moving Average Cloud, between major levels, or moving without clear structure, it may be better to wait for a cleaner setup. This script is designed to support analysis, not to provide automatic entries. For safer analysis, avoid making decisions from unfinished candles only. Wait for candle close confirmation, check the nearby support or resistance level, define risk clearly, and use your own trading plan before making any decision. ⚙️ Settings Overview The indicator includes settings for visual themes, compact dashboard position, session ranges, opening ranges, trading day levels, weekly and monthly reference levels, VWAP tools, pivot and market structure display, moving average cloud settings, volume-weighted candle coloring, event layers, and timezone configuration. Users can keep the chart simple by enabling only the most important tools, or they can activate more features when deeper market context is needed. Timezone and session settings should be checked carefully so session levels align correctly with the market being analyzed. ⚠️ Limitations This script does not predict future price movement and does not guarantee any result. Market conditions can change quickly, especially during news, low liquidity, or high volatility periods. Some tools depend on the selected symbol, timeframe, session settings, and timezone. Developing session ranges, pivots, and structure-related elements may update while candles are still forming. For more reliable analysis, users should wait for confirmed candle closes and avoid making decisions based only on unfinished bars. 📚 Educational Risk Disclaimer This script is provided for educational and technical analysis only. It is not financial advice and should not be used as the only reason to enter or exit a trade. Trading involves risk, and past market behavior does not guarantee future results. Always use your own confirmation, risk management, and trading plan.
Indicador Pine Script®
por Lokka_Algo
HTF Candles [EXCAVO]Higher Timeframe Candles in a Panel to the Right of the Chart The HTF Candles indicator renders higher timeframe candles in a dedicated panel to the right of all chart data. Each completed HTF candle is drawn as a solid semi-transparent box (body) with color-matched wick lines. The currently forming candle uses a dashed outline and updates in real time. Nothing is drawn when the chart timeframe is equal to or higher than the selected HTF. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator on a lower timeframe chart (e.g., 5m or 15m). The HTF panel appears to the right of all candles. Step 2 → Default HTF is 1H. Change it in settings to match the context you trade (4H, D, etc.). Step 3 → Solid boxes are completed HTF candles. Blue = bullish, red = bearish. Step 4 → The rightmost dashed box is the currently forming HTF candle - it updates live on every bar close. Step 5 → Set alerts for HTF Bullish or Bearish Candle Close to be notified when the HTF period ends. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ HTF OHLC via Built-In Resampling The indicator uses request.security() with lookahead_off to fetch the current HTF candle's OHLC on every bar: = request.security(ticker, htf, ) Without lookahead, these values reflect only confirmed data up to the current bar - no future leaking. ◆ Candle Completion Detection A new HTF candle is detected using ta.change(time(htf_tf)). When the time bucket changes, the previous candle is complete. At that moment: htf_o , htf_h , htf_l , htf_c = OHLC of the completed candle These are pushed to history arrays (up to History Count entries), and the oldest entry is trimmed when the limit is reached. ◆ Panel Positioning All candles are drawn to the right of the last chart bar: x1 = bar_index + right_margin + i x (candle_width + gap) x2 = x1 + candle_width Positions are recalculated on every barstate.islast update. Previous drawing objects are deleted and rebuilt each bar so the panel always aligns with the current last bar as new data arrives. ◆ Completed Candle Rendering Each completed candle is drawn as: - Body: box from max(open, close) to min(open, close) - Upper wick: line from high to body top (only if high > body top) - Lower wick: line from body bottom to low (only if low < body bottom) ◆ Current Candle (Dashed) The forming candle uses the same box for fill but replaces the solid border with four dashed lines (top, bottom, left, right edges) and dashed wick lines. The body color reflects the live direction - bullish (blue) if close >= open, bearish (red) otherwise. ◆ Timeframe Label Pinning The HTF label above the panel is anchored to the highest candle in the HTF panel (not the chart's overall high). This keeps the label stable above the panel as price moves on the underlying chart. ◆ Timeframe Guard The indicator checks timeframe.in_seconds() < timeframe.in_seconds(htf). If the chart timeframe is equal to or higher than the HTF, no panel is drawn. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Panel to the Right - No Overlap HTF candles are positioned past the last chart bar so they never cover price action. The panel shifts automatically as new bars arrive. ◆ Dashed Forming Candle The current unfinished HTF candle is visually distinct (dashed outline) so it is never confused with confirmed history. ◆ Stable Timeframe Label The HTF label is pinned to the highest candle inside the panel itself rather than the chart's overall high. The label position stays consistent relative to the HTF panel even when underlying chart prices spike outside the panel range. ◆ Non-Repainting OHLC request.security() with lookahead_off ensures that completed candle values are final before they are committed to history. No retrospective changes occur to completed boxes. ◆ Timeframe Guard The indicator automatically disables itself when the chart timeframe is greater than or equal to the selected HTF — no panel is drawn, preventing meaningless output. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ LEGEND Legend table (bottom left) explains the visual elements: ▮ (blue) - Bullish completed HTF candle (solid outline) ▮ (red) - Bearish completed HTF candle (solid outline) ┅ (blue) - Currently forming HTF candle (dashed outline) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS HTF Settings HTF Timeframe - 60 (1H by default) History Count - 5 (completed HTF candles to keep visible) Show Current Candle - ON (show the forming candle with dashed outline) Visualization Bullish Color - blue (customizable) Bearish Color - red (customizable) Candle Width (bars) - 5 (width of each candle box) Gap Between Candles - 2 (spacing between boxes) Right Margin (bars) - 10 (distance from last chart bar to panel) Dashboard Show Legend - ON Alert Settings Allow Repainting - OFF JSON Alerts - OFF ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS HTF Bullish Candle Close - HTF candle closed bullish (close >= open) HTF Bearish Candle Close - HTF candle closed bearish (close < open) HTF Candle Close - any HTF candle closed JSON payloads include direction, ticker, price, timeframe, htf, and indicator tag. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Indicador Pine Script®
por EXCAVO
7 EMAs / Daily Open / Midnight Open7 EMA Overlay with Daily & Midnight Open This indicator combines 7 customizable EMAs with Daily Open and Midnight Open (UTC) levels in a clean chart overlay. It is designed for traders who want to track trend structure and key daily reference levels in one simple tool. Each of the 7 EMAs can be customized individually by length, source, and color, making the indicator flexible for different trading styles and markets. The script also plots: Daily Open Midnight Open (UTC) Both levels can be shown or hidden independently, and optional labels can be enabled for the EMAs and open levels. Features: 7 customizable EMAs Custom EMA colors Optional EMA labels Daily Open line Midnight Open (UTC) line Optional labels for open levels Clean and lightweight overlay This indicator is useful for traders who want a structured EMA layout together with important intraday reference levels, while keeping full control over the visual customization.
Indicador Pine Script®
por Inoffensive
ATR Step Trailing Stop Positioning ToolThis indicator is an ATR-based trailing stop positioning tool. It is not designed to generate buy or sell signals. Its purpose is to help traders visualize possible trailing stop levels based on volatility. How it works: The indicator calculates a stepped trailing level using the ATR distance from the high or low of the last closed candle. For long-position management, the stop level can be positioned below price using the candle low and an ATR-based distance. For short-position management, the stop level can be positioned above price using the candle high and an ATR-based distance. Because the calculation is based on the last closed candle, the level is designed to behave like a step-style trailing reference instead of constantly moving tick by tick. How this is different from a standard ATR trailing stop: Many ATR stop indicators use a continuous trailing line or a single shared configuration for both long and short conditions. This version is focused specifically on stop placement structure. It allows the trader to visualize ATR-based stop levels as stepped references from the most recent completed candle. Another practical difference is that traders can add two instances of the indicator to the same chart. For example, one instance can be adjusted for long trailing stop management and another for short trailing stop management. By changing the visibility or transparency settings, it is possible to show only the positive or negative side of each instance and compare different ATR lengths or ATR multipliers for long and short positioning. This makes the tool useful when a trader wants different trailing stop behavior for long and short positions instead of using one universal setting. Possible use cases: * Visualizing ATR-based trailing stop zones * Managing open trades with a volatility-adjusted stop reference * Comparing different ATR lengths or multipliers * Separating long-side and short-side stop logic * Studying how price behaves around volatility-based stop levels Important limitation: This indicator does not predict direction. It does not provide entry signals, exit signals, buy signals, or sell signals. The plotted levels are only a technical reference for trailing stop positioning based on ATR and closed candle structure. Traders should combine this tool with their own entry logic, market structure analysis, risk management rules, and broader trading plan.
Indicador Pine Script®
por TheAlphaGroup
Trend Stability Ribbon [AGPro Series]Trend Stability Ribbon 🔹 OVERVIEW Most trend tools tell you WHICH WAY price is going. Trend Stability Ribbon tells you HOW WELL it is getting there. By pairing an ATR-normalized slope engine with a Kaufman path-efficiency score, it projects every bar into one of four rules-based states — Stable Up, Noisy Up, Stable Down, Noisy Down — and paints them onto a clean, adaptive ribbon that stays out of the candles' way. The result is a context layer that separates decisive trending from directional-but-choppy travel, without adding a second indicator pane. 🧭 UNIQUE EDGE — WHY THIS IS NOT "JUST ANOTHER TREND INDICATOR" Direction alone is cheap. Every moving-average cross, every supertrend, every slope color tells you "up" or "down" — and then leaves you holding the bag when the trend is technically up but structurally a mess. Trend Stability Ribbon adds the missing second dimension: path quality. The same 34-bar window that defines direction also feeds a Kaufman efficiency calculation (net travel divided by total path travel). An ER near 1.00 means price walked a near-straight line; an ER near 0.00 means it zig-zagged its way to the same point. Mapping that score against a calibrated threshold band produces the four composite states — and a visual language that finally distinguishes "trend worth trusting" from "trend worth fading". Additional design choices that set it apart: • Dual-layer event engine — direction flips, stability upgrades, and stability downgrades are tracked as independent transitions, each with its own alert. • Badge/alert separation — on-chart badges are throttled by a cooldown for visual hygiene, but alerts are always raw so automation pipelines never miss an event. • Reset state — when the slope-confirmation filter rejects a direction, the ribbon goes neutral instead of flipping false. Chop gets ignored, not misreported. 🧪 METHODOLOGY 1. TREND DIRECTION ENGINE • A slow EMA (default length 34) anchors the trend path and serves as the ribbon centerline. • Slope is measured over a 3-bar lookback and normalized by a 14-period ATR, making it instrument-agnostic across crypto, FX, equities, and futures. • With Slope Confirmation enabled (default), direction is only accepted when price position AND slope agree. Disagreement returns a Reset state. 2. PATH EFFICIENCY (STABILITY) ENGINE • ER = |close − close | ÷ Σ|close − close | over the same trend window. • Three classes: Stable (ER ≥ 0.45), Noisy (ER ≤ 0.25), Mixed (between). Thresholds scale with the Stability Sensitivity input. • The Mixed zone is a deliberate dead-band — during uncertain phases the previous state persists rather than flickering. 3. COMPOSITE STATE MACHINE • Direction × Stability yields five possible states: Stable Up, Noisy Up, Stable Down, Noisy Down, Reset. • Bars-in-state is tracked live, giving a simple persistence read on each state. 4. RIBBON RENDERING • Ribbon is anchored to the EMA centerline with height driven by ATR × a user-selected multiplier (Thin / ATR-Adaptive / Thick). • Fill opacity and border weight shift by state — Stable states are saturated, Noisy states are faded, Reset is a soft amber. 🔔 SIGNALS & ALERTS Three transition events are detected and exposed as separate, user-toggled alerts: • Trend State Flipped — direction changed (Up ↔ Down). Raw, never throttled. • Stability Improved — path upgraded from Noisy to Stable while direction held. Raw — delivered regardless of badge cooldown. • Stability Degraded — path downgraded from Stable to Noisy while direction held. Raw — delivered regardless of badge cooldown. Matching on-chart badges appear at the same moments, subject to the Stability Badge Cooldown for visual cleanliness. Direction-flip badges are never throttled. ⚙️ KEY INPUTS Engine • Trend Length (default 34) — lookback for both direction and path-efficiency windows. • Stability Sensitivity (default 1.0) — scales the Stable / Noisy thresholds. • Require Slope Confirmation (default on) — enforces price-and-slope agreement; rejects chop. Ribbon & Badge • Ribbon Height — Thin / ATR-Adaptive / Thick. • Show State Badge — toggle on-chart transition labels. • Label Font Size — tiny / small / normal / large (default normal). • Minimal Mode — hides panel and badges for pairing with other overlays. • Stability Badge Cooldown (default 5 bars) — visual throttle for stability transitions. Info Panel • Panel Position, Panel Font Size, Efficiency Ratio display, Active Thresholds display. Alerts • Independent toggles for each of the three transition events. 🧠 HOW TO USE • CONTEXT FILTER — use Stable states as a "green light" for continuation setups on your primary system; treat Noisy states as a headwind. • REGIME BREAKS — a Stability Degraded event mid-trend is often an early warning that the move is maturing, even before price has flipped. • CLEAN ENTRIES — pair a direction flip (Trend Up / Trend Down) with an immediate Stable classification to filter out whipsaw-prone breakouts. • CHOP AVOIDANCE — when the ribbon sits in a Reset or Mixed state, the script is telling you the underlying path is not tradeable as a trend. Stand aside or switch to range tactics. • PAIRING — with Minimal Mode on, the ribbon layers cleanly under structure tools, VWAPs, or S/R zones without visual conflict. ⚠️ LIMITATIONS & TRANSPARENCY • This is an indicator, NOT a strategy. It does not generate buy or sell orders, has no backtest, and makes no claim of performance. • Efficiency Ratio is a lagging measure — it describes the path already travelled. The ribbon should be read as context, not as a leading signal. • The Mixed zone is intentional persistence; expect the composite state to hold through brief chop rather than flipping on every bar. • Lower timeframes (<5m on thin-liquidity markets) can push ER values into erratic ranges. Start with the defaults on 15m–4h and tune from there. • All calculations are closed-bar. Intra-bar values may shift until the bar confirms. 🛡️ RISK DISCLOSURE This script is published for educational and analytical purposes only. It is not financial advice, not a signal service, and not a solicitation to buy or sell any instrument. Past behavior of markets does not predict future results. Always do your own research, apply proper risk management, and consult a licensed professional before making trading decisions. The author assumes no responsibility for losses incurred through use of this indicator.
Indicador Pine Script®
por AGProLabs
Iteratively Reweighted Least Squares (IRLS) [Jamallo]Author's Note: This script is published as a unique mathematical contribution to TradingView's open-source public library. It is intended to introduce a novel application of a robust statistical method for the community and developers to study, adapt, and build upon, rather than to serve as a standalone, out-of-the-box trading strategy. Introduction Almost all moving averages and smoothing filters in technical analysis treat historical price data equally or apply a fixed mathematical decay (like an EMA). The problem? A massive, anomalous wick or a sudden volatility spike will inevitably drag the average away from the true underlying market consensus. Enter Iteratively Reweighted Least Squares (IRLS) . IRLS is a robust statistical method that calculates a "consensus" price by actively identifying and down-weighting outliers. Instead of letting a large wick distort the line, the algorithm assigns less weight to prices that deviate furthest from the current estimate. The result is a filter that cuts through noise, ignores price-distant spikes, and naturally locks onto the dominant, high-density price levels. How It Works The indicator uses the Hardy weight function to determine how heavily each historical candle influences the current estimate. On every bar, the algorithm checks the distance of each sample from the current consensus and iteratively refines the line until it converges on a robust mean. Epsilon — the outlier rejection scale — is derived dynamically from the average High–Low range, keeping the filter dimensionless and consistent across all instruments and timeframes. Parameters Window Size (N) : The rolling lookback window of historical samples the kernel considers. Larger values produce a smoother, slower-responding line. Sparsity (s/N) : The core behavioral control. Dictates the fraction of the window allowed to "vote" on the estimate. Low Sparsity (e.g., 0.1) : Only the 10% of samples closest to the current estimate participate. Produces a snappy, selective line that locks tightly onto the most dominant price cluster. High Sparsity (e.g., 1.0) : All samples participate, resulting in a smoother, more conventional robust mean. Gamma (ε scale) : Controls the strength of outlier rejection. Lower values enforce harsh, median-like rejection. Higher values soften the rejection toward a standard weighted mean. Iterations : The number of reweighting convergence passes per bar. 2–3 is sufficient for practical convergence. Potential Applications The Hardy IRLS filter provides a unique lens into market structure by shifting the focus from simple time-averaged prices to spatial price consensus. Because it rejects price-distant wicks and noise spikes by design, it can serve as a foundation for: Custom trailing stops Dynamic support and resistance trackers Baseline trend or regime filters Feel free to inspect the open-source code, experiment with extreme sparsity and gamma settings, and integrate the IRLS core into your own quantitative projects. References Li Shuang, "Sparse Representation of Hardy Function by Iteratively Reweighted Least Squares," 2020 International Symposium on Computer Engineering and Intelligent Communications (ISCEIC), IEEE, 2020. DOI: 10.1109/ISCEIC51027.2020.00020
Indicador Pine Script®
por Jamallo22
Daily Bias - Bull / Bear / Neutral [Phil Vo]This indicator is built to help traders quickly understand the current daily market bias in a simple visual way. It combines basic market structure with moving average trend filters to classify price conditions as bullish, bearish, or neutral. The script looks at swing highs and swing lows to detect whether price is forming higher highs and higher lows, or lower highs and lower lows. It then confirms that structure with the 50-period and 200-period moving averages. When both structure and trend filter agree, the indicator displays a clear directional bias. When they do not align, it shows a neutral or choppy condition instead. The goal is to reduce confusion and help traders stay aligned with the broader directional context before looking for entries on lower timeframes. Key features: Clear Bullish / Bearish / Neutral bias label Optional background color for fast chart reading 50 MA and 200 MA trend filters Swing-based market structure confirmation Last swing high and swing low reference points Alert conditions when bias flips bullish or bearish This is not a signal or entry tool. It is designed as a simple decision-support overlay to help traders understand whether the market structure and trend are aligned. You can use it as a higher-timeframe guide before planning executions with your own strategy, price action model, or risk management rules.
Indicador Pine Script®
por BullBearInsights
Realtime Non-Repaint PathName: Realtime Non-Repaint Path Searchable Name: Realtime Non-Repaint Path Technical name: Realtime Non-Repaint Percentage-Reversal Path Short title: RT NR Path Summary Realtime Non-Repaint Path is a standalone path-visualization and path-state script designed to show live non-repainting directional path structure and a simplified hidden path reveal. It uses a percentage-reversal path model to classify live path direction, maintain a live anchor/candidate structure, draw a live eased path, rebuild a simplified hidden path from reversal pivots, and display state labels, alerts, and a compact status table. Its strongest advantages are live path clarity, non-repainting state transitions on closed bars, simpler path interpretation, and visual structure that can complement entry-focused scripts. Its main known weakness is that it is not a full trading engine: it does not perform full pivot confirmation, trade management, advanced filtering, replay-state reconstruction, or broader regime/stat handling. This script is best understood as a path-focused operational visualization and state-classification script rather than a complete trading engine. It is designed to be useful on its own while remaining simple enough to inspect, test, and modify. How it works The script begins with a simple percentage-reversal path model. It tracks a live anchor price, a live candidate extreme, and a current live path direction. When price moves far enough away from the current anchor by the user-defined reversal percentage, a live directional path is established. As long as price continues making new extremes in that direction, the live candidate continues updating. When price reverses enough from that candidate extreme by the same percentage threshold, the live path flips and a new anchor/candidate cycle begins. The displayed live path is not drawn as a raw straight jump between points. Instead, it is eased between the current live anchor and live candidate so that the path remains visually readable while still staying tied to the current live state model. Because the live state is updated bar by bar using only information available so far, the live path is intended to function as a non-repainting path-state view on closed bars rather than as a hindsight-only reconstruction. In addition to the live path, the script can also reveal a simplified hidden path. That hidden path is rebuilt from percentage-reversal pivots over a user-defined recent history window. It detects reversal pivots using the same percentage-reversal logic and then draws an eased pivot-to-pivot hidden path across the selected history range. This keeps the script path-focused, visually useful, and easier to interpret. The script also displays optional confirmed turn labels, a last-bar live state label, path-up/path-down alerts, background coloring based on current path direction, and a compact status table showing the current live state, anchor, candidate, and percentage distances. These features make it useful as a visual path-state companion script rather than as a full signal-and-execution engine. Path model note This script’s path model is based on percentage reversal. That makes it intentionally simpler and easier to understand, but it also means it does not attempt to replicate the broader complexity of a full trading engine. The hidden path shown here should be interpreted as a simplified path reveal, not as a complete trade-selection or execution model. Features Live non-repainting path state machine User-defined percentage reversal threshold Live anchor and candidate path structure Eased live path display Simplified hidden path reveal over recent history Confirmed path turn labels Last-bar live state label Background coloring by live path direction Path-up and path-down alerts Compact status table with anchor/candidate/path-distance information Strengths Path Clarity edge — provides a cleaner live view of path direction than raw candles alone. Non-Repainting State edge — live path direction and flips are based on the current bar-by-bar percentage-reversal model rather than hindsight-only reconstruction. Simplicity edge — simpler structure makes it easier to inspect, test, and modify. Companion Script edge — pairs naturally with entry-oriented scripts by showing whether path direction is currently up, down, or neutral. Visual Structure edge — live path, hidden path, labels, background, and status table make path structure easier to read quickly. Interpretability edge — the script is straightforward enough to be useful as both a live visual aid and a path-study tool. Weaknesses Not a full trading engine weakness — does not include full trade management, entry/exit handling, or execution logic. No advanced filtering weakness — does not include broader filtering or replay/stat reconstruction layers. Threshold sensitivity weakness — path behavior depends heavily on the user-selected reversal percentage, so different settings can materially change the path and turn structure. Path-state, not profit-state weakness — path direction does not guarantee profitable entries or strong follow-through. Simplified hidden path weakness — the hidden path is intentionally simplified and should not be mistaken for a complete internal market model. No regime/stat engine weakness — does not contain broader regime scoring, detailed replay diagnostics, or a larger state/stat engine. Who it’s for This script is best suited for traders and TradingView users who want a simpler live path script, users interested in non-repainting path direction on closed bars, users who want a visual companion to entry-focused scripts, users who want to inspect market path structure with less complexity than a full trading engine, and users interested in learning from or modifying a smaller path-focused script. It is especially suited for users who want a practical path/state layer rather than a complete trading engine. Who it’s not for This script is not best suited for: users looking for a complete pre-built trading engine users expecting advanced pre-entry classification users expecting full entry/exit/trade management users looking for advanced regime, replay, and state/stat reconstruction users expecting this script by itself to solve the false-pivot or follow-through problem users looking for a complete trade-selection and execution workflow rather than a smaller standalone path script Known limitations Realtime Non-Repaint Path is much better at showing live path direction and simplified path structure than it is at acting as a complete trading system. The live path is driven by a percentage-reversal state machine and the hidden path is rebuilt from simplified percentage-reversal pivots with eased pivot-to-pivot connections. Because of that, it should be viewed primarily as a path/state visualization and classification script, not as a complete trade-selection or execution engine. Different reversal-percentage settings can also materially change how often the path flips and how sensitive the script is to movement. Final note This is a standalone path script, not a guaranteed predictive system and not a full operational trading engine. Its strengths are concentrated in live path visibility, simplified hidden path structure, non-repainting state handling on closed bars, and quick visual interpretation. It is best used as a path-focused companion or as a simpler standalone script for studying live path behavior rather than as a substitute for a more complete engine.
Indicador Pine Script®
por AceInfinity
EAB: Multi-Timeframe Moving AveragesEAB: Multi-Timeframe Moving Averages is a clean and customizable indicator designed to display key moving averages across multiple timeframes in a single chart. It allows traders to visualize short, medium, and long-term trends using a consistent and structured framework, aligned with a professional trading workflow. Features Multi-timeframe support: Intraday, Daily, Weekly and Monthly Fully customizable moving averages (type, length, source, color and visibility) Label system displayed directly on the chart (e.g., EMA 10, MA 50) Optional moving average cloud between key averages Weekly moving average overlay on the daily chart for higher timeframe context How to use Enable or disable moving averages from each timeframe section. Configure type (EMA, SMA, etc.) and length according to your strategy. Use EMA 10 and EMA 20 for short-term trend direction. Use MA 50 and MA 200 for structure and key support/resistance levels. Combine multiple timeframes to confirm trend alignment. Notes Labels are displayed only on the last visible bar to keep the chart clean. Each timeframe can be configured independently. Moving average clouds can be enabled or disabled for better visual clarity.
Indicador Pine Script®
por EwaldoAB
Any Oscillator Overlay [TGPT]This indicator projects any oscillator's key levels — midpoint, signal lines, overbought/oversold zones — directly onto the price chart. Tested with RSI, MACD, CCI, Stochastic, Williams %R, and many others, including custom oscillators — without needing to know their internal formula. The Problem Traders watch oscillators for midpoint crosses (usually, zero line or 50), overbought/oversold zone entries, and signal line crosses. A cross in the oscillator pane tells you when momentum flipped — but not what price was actually doing at that moment. How many of those crosses happened while price was chopping inside a range, with the oscillator hovering near its midpoint? How many were immediately reversed? How deep did price wick through the oscillator level before recovering? None of this is visible in the oscillator pane. It requires switching back and forth between panes and mentally reconstructing each event in context. This indicator attempts to collapse those two coordinate systems into one. When oscillator levels are projected onto the price chart, interpretation becomes immediate: you can more clearly see whether a zero cross coincided with a clean directional move or with indecisive ranging; whether price respected the projected signal line or sliced through it repeatedly; whether wicks are constantly piercing overbought and oversold levels — the kind of behavior that looks seemingly clean or unnoticeable in the oscillator pane but tells a different story when projected onto price. Context that would otherwise require mentally switching between panes is visible at a glance across the entire chart history. The goal is not to replace the oscillator pane. It is to make oscillator behavior readable and interpretable on the price chart itself — something that is usually impossible without knowing the oscillator's internal formula, and often difficult even then. What makes this possible without being tied to any specific oscillator is a universal normalization method that operates purely on the oscillator's output — no knowledge of its internal formula required. This is what separates this approach from oscillator-specific overlays. The reconstruction works on any oscillator; the visual defaults — overbought/oversold zones, signal line, midpoint conventions — are tuned for what is commonly watched on momentum oscillators, and can be adjusted for other cases. Prior Approaches Prior overlay approaches plot the oscillator as a scaled visual proxy positioned above or below price action — the oscillator's values are mapped into the recent high/low price range, then offset from price entirely to avoid interfering with it. This is a deliberate and honest design choice: the projection is treated as a display convenience, not a coordinate transform. The visual sits near price but remains a separate pane in spirit. Some implementations skip the offset entirely and overlay the rescaled oscillator directly on the candles. Without a meaningful coordinate transform this creates visual noise — the line intersects price arbitrarily, crossovers mean nothing, and the result is harder to read than the original oscillator pane. The approach here takes the problem seriously as a coordinate transform: oscillator levels are projected directly onto price with structural exactness. When the oscillator crosses zero or its signal line, price crosses the corresponding reconstructed line. The levels are stable across all market conditions and work identically regardless of which oscillator is connected. How It Works Projecting an oscillator onto the price chart requires answering one question at every bar: "What price level corresponds to this oscillator's key levels right now?" This is a coordinate transform problem. Oscillator units vary by type — RSI is in percentage points, CCI in deviation units, MACD in price difference units. Price lives in its own space. Attempting a direct reconstruction produces wild instability — projected lines flying off the chart, collapsing to a point, or jittering unpredictably as the underlying relationship between oscillator and price shifts. Filtering or smoothing the oscillator values might help avoid the instability but would produce an inaccurate reconstruction — at that point it is a different signal altogether, not the oscillator's levels projected onto price. There is no universal closed-form inversion between the two without knowing the oscillator's internal formula. The approach implemented here — z-score normalization mapped to price standard deviation — solves the explosion problem mathematically rather than by filtering or smoothing. Universality — Why Any Oscillator Works Most oscillator overlay attempts are oscillator-specific. They work by exploiting knowledge of the oscillator's internal formula — for example, knowing that an oscillator is derived from a specific price transform, one can algebraically invert it back into a price level. This approach is precise but narrow: it breaks entirely when applied to a different oscillator, and does not work at all for oscillators not derived from price. This indicator achieves universality by operating exclusively on the output of the oscillator — the plotted series — without any knowledge of or assumption about its internal construction. This is possible because of two observations: Observation 1: Most oscillators share a common structural grammar. Regardless of how they are computed, most oscillators share a common behavioral structure: they oscillate around a reference level (typically zero or 50), they have a signal line (typically a moving average of themselves), and their distance from that reference reflects the strength of the underlying signal. RSI oscillates around 50, CCI around 0, Stochastic around 50 — the absolute scale differs but the grammar is identical. The z-score transform (osc / stdev(osc)) maps any oscillator's output into this common grammar, expressed in standard deviation units. After normalization, a reading of +1 means the same thing regardless of whether the source was RSI, CCI, or a custom oscillator: the oscillator is one standard deviation above its recent mean. The native scale — percentage points, index units, or whatever it may be — is completely abstracted away. Observation 2: Price volatility is the natural unit of price-space distance. Once the oscillator is in z-score units, it needs to be mapped to a price distance. The natural unit for price distance is the price series' own standard deviation — stdev(close, N). This is not an arbitrary choice: the standard deviation of price is the statistical measure of how much price typically moves over the same window used to normalize the oscillator. Mapping one oscillator σ to one price σ creates a dimensionally consistent relationship that self-calibrates to any instrument (BTC/USDT, EUR/USD, SPX, a penny stock) and any timeframe (1-minute, daily, weekly) without any manual scaling. The product of these two observations is the core formula: zeroLine = close − (osc / stdev(osc)) × stdev(close) × sensitivity This formula has no hard-coded constants specific to any oscillator. No lookup tables, no conditional branches for different oscillator types, no instrument-specific parameters. Its inputs are: the oscillator's output series, the price series, a window length, and a sensitivity multiplier. Given any oscillator series as input, it produces a geometrically consistent price-space projection. The only assumption made is that the oscillator's zero line (or midpoint) represents momentum equilibrium — a condition that holds across all momentum oscillators by design. For bounded oscillators like RSI or Stochastic where equilibrium is at 50 rather than 0, the Oscillator midpoint parameter shifts the reference accordingly. Internally, (osc − midpoint) is normalized rather than osc directly — so setting midpoint to 50 makes the zero line correspond to RSI = 50, and the signal line to RSI signal crossovers, with no other changes required. Because the method works purely on the output series, it is not even limited to oscillators in the strict sense. Any zero-based or midpoint-based series — exchange funding rates, open interest deltas, custom composite signals — can be projected onto price through the same formula. An example using funding rate is shown further down in Creative Uses . As noted earlier, the reconstruction itself is universal. Visual conventions (fills, colors, zones) may need adjustment for oscillators outside the typical momentum family — ADX, for example, benefits from different fill and color logic — but the underlying projection works without modification. Below is MACD on BTCUSDT weekly, with the MACD histogram zero line projected onto price. Settings: Oscillator source: MACD Histogram, Normalization window: 26 (matching MACD slow length), Midpoint: 0. Below is Williams %R on BTCUSDT weekly, with the midpoint and overbought/oversold zones projected onto price. Settings: Oscillator source: Williams %R, Normalization window: 14 (matching Williams %R length), Midpoint: −50, Overbought level / extreme: −20 / 0, Oversold level / extreme: −80 / −100. Below is CCI on BTCUSDT weekly, with the CCI zero line projected onto price. Settings: Oscillator source: CCI, Normalization window: 20 (matching CCI length), Midpoint: 0. The Math Step 1 — Z-Score Normalization oscStd = stdev(osc, N) oscNorm = clamp((osc − midpoint) / oscStd, −6, +6) The oscillator is divided by its own rolling standard deviation over window N. This converts any oscillator — regardless of its native scale — into standard deviation units (z-score). The result is dimensionless and bounded in practice: z-scores beyond ±6 are statistically rare and are hard-clamped to prevent outlier distortion. This solves the scale problem : RSI, CCI, and any custom oscillator all produce a normalized value in the same range, making the subsequent price mapping universal. Step 2 — Price Standard Deviation Mapping priceStd = stdev(close, N) step = priceStd × sensitivity zeroLine = close − oscNorm × step The normalized oscillator is multiplied by the price series' own standard deviation (scaled by a user-controlled sensitivity factor, 1.0 by default). This maps one unit of oscillator z-score to one standard deviation of price movement — a dimensionally consistent relationship. When the oscillator is at its midpoint (oscNorm = 0), zeroLine = close exactly. The zero line sits on price. When the oscillator is at +1σ (oscNorm = 1), the zero line sits one price standard deviation below close, reflecting that price is one sigma above its momentum equilibrium. The distance is always expressed in the instrument's own volatility units — no arbitrary scaling. Why it cannot explode. Given that reconstructing an oscillator in price space is prone to the kind of wild instability described earlier, it is worth stating explicitly why this formulation is well-behaved. There is no division by a potentially-zero slope. The denominator oscStd is non-negative, and the zero case (a constant oscillator) is handled explicitly rather than dividing. The product oscNorm × step is bounded by 6 × priceStd × sensitivity — a finite, always-defined quantity. Step 3 — Signal Line Reconstruction diff = osc − sigSrc diffStd = stdev(diff, N) diffNorm = clamp(diff / diffStd, −6, +6) sigLine = close − diffNorm × step When osc = sigSrc (a crossover), diff = 0, diffNorm = 0, and sigLine = close. The signal line sits on price at the moment of a crossover, exactly as the zero line sits on price at a zero crossing. This is the correct structural equivalence. Using osc − sigSrc rather than normalizing sigSrc directly is important: it measures the gap between oscillator and signal, which is the quantity that crosses zero on a signal crossover — not the signal's absolute level. A second signal line is supported through the same construction. This is primarily useful for custom oscillators with two independent signal sources, or for advanced setups — for example, applying an external moving average to the oscillator and feeding that back in as a second signal. The reconstruction treats each signal as its own osc − sigSrc gap and projects it accordingly. What Else You Can Read From It Volatility-Normalized Distance One practical benefit of projecting oscillator levels onto price is that the visual gap between price and the zero line becomes a direct, volatility-adjusted reading of momentum strength — something the oscillator pane does not provide. In the oscillator pane, a reading of RSI 60 occupies the same visual distance from 50 whether the market is in a tight consolidation or a wide trending move. The absolute value looks identical across different volatility regimes. On the overlay, the same reading produces a larger or smaller gap depending on priceStd at that moment — the distance self-scales to current market conditions. A wide gap signals that momentum is far from equilibrium relative to how much price is actually moving. A narrow gap signals that momentum is near neutral relative to current volatility, even if the raw oscillator number appears elevated. This makes the overlay useful not just for identifying crossover events but for assessing their weight. A zero line cross accompanied by a wide, expanding gap carries different context than one where price and the zero line have been trading close together — the former reflects a genuine momentum shift in the context of active price movement, the latter may reflect a cross in a low-energy, low-conviction environment. The EMA Layer The optional EMA of the zero line is a different signal from the zero line itself. In the oscillator pane, an EMA of the zero line is a constant — the EMA of a fixed level carries no information. On the price chart, the zero line is not fixed: it drifts with price as momentum conditions change. An EMA of that drifting series tracks where momentum equilibrium has been spending its time in price space over the EMA window — a smoothed reference for recent neutral momentum. This creates two distinct signals: Zero line — where momentum equilibrium is right now , bar by bar. EMA of zero line — where momentum equilibrium has been on average over the recent window. A slowly rising EMA indicates the neutral momentum level has been drifting upward in price space — consistent with a gradual bullish bias. It can also help filter noise: a zero line cross that does not pull the EMA in the same direction may reflect a low-conviction move that is unlikely to develop into a sustained shift. Creative Uses The reconstruction does not care whether the input series is a traditional oscillator. Any zero-based or midpoint-based series can be used as a source and projected onto price through the same formula. A practical example is exchange funding rate: a zero-based series that reflects perpetual futures positioning, with no built-in signal line of its own. The setup below uses an indicator-on-indicator trick that TradingView supports natively. First, a standard EMA is applied to the funding rate series in its own pane (an indicator applied to another indicator). Then, in Any Oscillator Overlay , funding rate is selected as the oscillator source and the EMA of funding rate is selected as Signal source 1. The overlay projects the gap between the two onto price — so when funding rate crosses its EMA, price crosses the projected signal line exactly. Only the signal line is visualized here; the midpoint is disabled to keep the chart focused on the crossover events. Below is ETHUSDT.P 1h with Binance funding rate as the oscillator source and an EMA(15) of funding rate as the signal line. Settings: Oscillator source: Funding Rate, Signal source 1: EMA(15) of Funding Rate, Midpoint: 0, Midpoint line: hidden, Signal Line 1: visible. Parameters General Oscillator source — Select the main plot of your oscillator. Accepts any series regardless of native scale: MACD, RSI, CCI, Stochastic, volume-based oscillators, or any custom oscillator. Signal source 1 — The oscillator's signal line. If your oscillator has no signal line, leave as close and keep the signal line hidden (hidden by default). Signal source 2 — Optional second signal line. Useful for custom oscillators with two independent signal sources, or for advanced setups like feeding an external EMA of the oscillator back in as a signal. Leave as close and hide if not needed. Oscillator midpoint — The oscillator value representing momentum equilibrium. 0 for zero-based oscillators (MACD, CCI). 50 for bounded oscillators (RSI, Stochastic, MFI). Normalization window — Rolling window for stdev(osc) and stdev(close). Range: 10–2000. Longer = more structural, slower to adapt. Shorter = more reactive, noisier levels. Match to your oscillator's primary lookback length. Sensitivity — Multiplier on priceStd. At 1.0, one oscillator σ maps to one price σ. Increase to widen spacing between levels; decrease to tighten. Range: 0.1–5.0. Does not affect crossover accuracy. Z-score clamp — Maximum z-score before hard clamping. Default 6.0. Increase if overbought/oversold lines behave unreliably — this happens when the oscillator's standard deviation is small relative to the distance to OB/OS levels. Midpoint Line — Projects the oscillator's midpoint (zero line or 50) onto price. When the oscillator crosses its midpoint, price crosses this line exactly. Bull/bear color by price position relative to the line. Fill — Fills the area between price and the projected midpoint. Bull color when price is above, bear color when below. EMA — Optional EMA of the projected midpoint. Length is configurable. Tracks where momentum equilibrium has been drifting in price space. Bull/bear color by price position. EMA fill — Fills the area between price and the midpoint EMA. Signal Line 1 / Signal Line 2 Line — Projects the signal line crossover level onto price. When the oscillator crosses its signal line, price crosses this line exactly. Bull/bear color by price position. Fill — Fills the area between price and the projected signal line. EMA — Smoothed version of the signal line. Length is configurable. A slower-moving reference for where recent crossover activity has been centered. EMA fill — Fills the area between price and the signal line EMA. Overbought / Oversold Zones Overbought level / extreme — Level: the oscillator value considered overbought (e.g. 70 for RSI, 100 for CCI). Extreme: the oscillator's absolute maximum (e.g. 100 for RSI). The fill zone spans between these two projected levels when price is inside that zone. Overbought line — Shows the projected overbought level line. If it behaves unreliably, increase the Z-score clamp. Overbought fill — Fills the zone between the overbought level and extreme only when price is inside that zone. Oversold level / extreme — Level: the oscillator value considered oversold (e.g. 30 for RSI, −100 for CCI). Extreme: the oscillator's absolute minimum (e.g. 0 for RSI). Oversold line — Shows the projected oversold level line. Oversold fill — Fills the zone between the oversold level and extreme only when price is inside that zone. Setup RSI is a good starting point for getting familiar with the indicator. Add it to the chart, connect it as the oscillator source, set the midpoint to 50, and the zero line will immediately track RSI's equilibrium level on price. Connect the signal line. Toggle overbought/oversold on. The same approach then generalizes to any oscillator. Add your oscillator of choice to the chart Add Any Oscillator Overlay to the same chart In indicator settings → Oscillator source : select the main plot of your oscillator In indicator settings → Signal source 1 : select the signal line plot of your oscillator (hidden by default; leave as close and keep hidden if no signal exists) Set Oscillator midpoint to match your oscillator's neutral level (0 for CCI/MACD, 50 for RSI/Stochastic). Setting this incorrectly will produce a meaningless reconstruction Tune Normalization window to match your oscillator's primary lookback length Adjust Sensitivity until zero and signal lines feel proportionally spaced relative to typical price movement on your instrument. The default of 1.0 works well on most oscillators If OB/OS levels look unreliable on the chart, increase the Z-score clamp Limitations Intended use. This indicator is intended for reading trend context, zero line crosses, signal line crosses, and overbought/oversold level monitoring. Zero and signal line crosses are structurally exact: when the oscillator crosses zero or its signal line, price crosses the corresponding reconstructed line with no approximation. Overbought/oversold levels are reliable when the Z-score clamp is set appropriately — if OB/OS lines appear to behave unreliably, increase the Z-score clamp in General settings. Divergence detection is outside the scope of this indicator. Detecting divergence requires precise comparison of price and oscillator pivots — a problem sensitive to source consistency and pivot detection methodology. The z-score normalization used here adds a volatility layer that can mask or exaggerate pivot differences, making it unsuitable for divergence analysis. Dedicated divergence tools should be used instead. The mapping is exact but the relationship it encodes is a modeling choice. The computation is precise — the zero line is always exactly where the formula places it. What the formula encodes is a specific assumption: one oscillator standard deviation maps to one price standard deviation. This is a principled choice, not a mathematical inversion of the oscillator's internal formula, and like any modeling assumption it carries trade-offs. Similar trade-offs are present in virtually every technical indicator. Critically, crossover events are unaffected: when the oscillator crosses zero or its signal line, the reconstructed line crosses price exactly, regardless of the scaling assumption. Normalization window sensitivity. The choice of N affects both the oscillator normalization and the price mapping. A window that is too short may produce unstable stdev estimates; a window too long may lag structural changes in volatility. There is no universally optimal value — match it to the oscillator's own primary lookback length. Repainting. This indicator does not repaint by itself — it is a wire, transforming whatever is fed into it from the oscillator pane to the price pane. If the source oscillator repaints, you will see that behavior here as well; if it does not, neither will this. Educational Use Beyond live analysis, this indicator is a practical tool for building intuition about oscillator behavior. By loading historical data and attaching any oscillator, a trader can immediately audit how reliable a given crossover strategy has actually been on that instrument — visually, on the price chart. How often did the zero cross coincide with a sustained move? How frequently did price wick through the projected signal line and reverse? Were overbought levels actually respected, or did price spend extended time above them? These questions are answerable at a glance in a way the oscillator pane alone does not allow. Once oscillator levels live on the price pane, they can be read in relation to everything else already there. A zero line cross that coincides with a key moving average, a major support/resistance level, or a volume profile node reads very differently from one occurring in open space. That kind of confluence is invisible when the oscillator is isolated in its own pane — it becomes immediately visible here. This makes the indicator particularly useful for traders who are evaluating an oscillator-based approach before committing to it — or for those trying to understand why a seemingly clean oscillator system has underperformed in practice. This indicator is published for educational and analytical purposes. It does not generate trade signals on its own — it relies entirely on the connected oscillator — and does not constitute financial advice. The overlay encodes a specific modeling choice, not a mathematical inversion of the oscillator. Validate behavior on your specific oscillator and instrument before drawing conclusions.
Indicador Pine Script®
por TGPT
AG Pro Inducement & Trap Quality [AGPro Series]AG Pro Inducement & Trap Quality OVERVIEW / WHAT IT DOES AG Pro Inducement & Trap Quality is an overlay tool built to map short-lived trap behavior around smaller inducement levels rather than broad market structure alone. The script focuses on moments where price appears to invite participation through a nearby internal level, briefly pushes beyond that level, and then reclaims it quickly enough to suggest failed continuation pressure. In practical terms, this tool is designed to highlight a very specific type of behavior: local liquidity engineering around minor swing references. Instead of treating every sweep as equally meaningful, it evaluates whether the move shows the characteristics of a more deliberate trap sequence. This helps separate routine noise from cleaner rejection events that may deserve closer attention. The script identifies compact inducement references, monitors whether those levels are exceeded, and then evaluates the quality of the reclaim using a rules-based scoring model. The output is intentionally visual and compact: trap labels, score readouts, engineered-liquidity context, and a lightweight status panel that keeps the chart readable while still surfacing the most important state information. This is not a broad “smart money everything” overlay, and it is not a general market-structure engine. Its role is narrower and more specific: to help users study micro trap behavior around inducement levels with a structured, visual framework. UNIQUE EDGE Many trap-style overlays simply mark local sweeps or label wick rejections without distinguishing between low-quality noise and more organized rejection behavior. This script takes a narrower path. Its core distinction is that it is built around inducement-first logic. The process begins with smaller internal swing references that may function as local liquidity magnets. From there, the script evaluates whether price briefly runs that level and reclaims it with enough quality to qualify as a more meaningful trap event. This makes the script materially different from tools that primarily map: - full structure breaks, - broad liquidity sweeps across larger swing highs and lows, - order blocks or fair value gaps, - or generic reversal candles. The objective here is not to classify the whole market. The objective is to organize one specific event class: short-lived inducement failure and trap quality around internal levels. METHODOLOGY 1) Inducement level detection The script scans for smaller swing references that can function as local inducement levels. These are not intended to replace major support or resistance logic. They serve as nearby internal references around which short-term trap behavior may form. 2) Sweep and reclaim logic After an inducement level is identified, the script monitors whether price briefly trades beyond that level. A trap candidate is only considered when the move fails to sustain beyond the level and price reclaims the reference within a limited confirmation window. 3) Quality model Each trap candidate is scored using a rules-based quality framework. The score is not arbitrary. It is derived from components such as: - reclaim speed, - relative volume behavior, - wick proportion, - and overshoot control. The purpose of the score is not prediction. It is prioritization. A higher score suggests that the rejection characteristics were cleaner according to the script’s internal rules. 4) Engineered liquidity context When inducement logic becomes active, the script can visualize engineered-liquidity context so users can see where price is interacting with a recently relevant internal level. This is meant to improve readability and sequencing, not to imply certainty. 5) Visual decluttering and presentation controls To keep the overlay usable, the script includes compact labeling, importance filtering, label spacing controls, and a small status panel. These features are presentation tools designed to reduce clutter without changing the underlying trap logic. SIGNALS & ALERTS The script can visualize bull and bear trap events after inducement-level interaction and reclaim confirmation. Typical readouts include: - TRAP labels, - quality score values, - inducement / engineered-liquidity context, - and panel status information such as recent trap state and current watch state. Alert conditions are designed around deterministic script events rather than discretionary interpretation. As with any alert-based study, users should confirm how they want to use those events inside their own workflow before relying on them in live conditions. KEY INPUTS Important controls typically include: - inducement swing sensitivity, - confirmation window / reclaim timing, - volume and wick weighting inputs, - overshoot tolerance, - compact label display, - importance filtering, - panel visibility and position, - and vertical label offset controls. These settings allow the user to decide whether they want broader coverage or a stricter, more selective readout. HOW THIS DIFFERS FROM OTHER AG PRO TOOLS This script is intentionally specialized. It is not a BOS / CHoCH engine and does not attempt to label full structural transitions. It is not an order block tool and does not frame the chart through block logic. It is not a fair value gap map and does not organize imbalance zones as its primary lens. It is not a broad liquidity sweep tool built around larger external swing raids. Instead, this script concentrates on micro inducement behavior: smaller internal references, brief level violations, fast reclaim structure, and the relative quality of the resulting trap. That narrower scope is the point. The script is designed to help users study one recurring behavior class in a more disciplined and readable way. LIMITATIONS & TRANSPARENCY This script is a visual and analytical aid. It does not know intent, news context, execution conditions, or participant positioning. A trap label does not guarantee reversal. A higher quality score does not guarantee continuation. A low-quality score does not mean the area is irrelevant. Internal inducement levels can vary in significance depending on volatility regime, instrument behavior, and timeframe selection. Like any rules-based overlay, this script is sensitive to parameter choices. More permissive settings may surface more events but also more noise. Stricter settings may improve selectivity while naturally reducing signal frequency. Users should also understand that inducement and trap concepts are interpretive by nature. This script translates those ideas into a deterministic ruleset for chart study. That conversion is useful, but it is still a model. RISK DISCLOSURE This script is for chart analysis and educational use. It is not financial advice, not a trade signal service, and not a promise of outcome. All trading and investing involve risk. Market conditions can change quickly, and no indicator or overlay can eliminate uncertainty. Users should evaluate signals in context, apply their own risk management, and avoid treating any single chart tool as a complete decision system. WHAT THIS SCRIPT IS NOT To make the scope clear, this script is not: - a guaranteed reversal detector, - a one-click trade system, - a full market-structure replacement, - or a standalone execution model. It is a focused overlay for studying inducement-driven trap behavior with a cleaner visual framework. NOTES Best use cases typically come from combining this script with context that the user already trusts, such as trend structure, higher-timeframe location, or broader execution rules. The tool is intended to improve organization and observation around inducement and trap sequences, not to replace judgment. If you prefer a cleaner chart, use the compact display and importance filter settings. If you prefer a more exploratory workflow, relax the filter and study how the scoring reacts across different conditions.
Indicador Pine Script®
por AGProLabs
2
MMT Ichi Workflow OverlayMMT Ichi Workflow Overlay is a chart-side execution layer built around a dual-timeframe Ichimoku workflow. It displays: - current timeframe score - higher timeframe confirmation score - regime state - active trade call - setup markers - flat-Kumo targets - invalidation levels The overlay is designed for discretionary chart reading and does not place trades. Default model: - Crypto Doubled preset - 20 / 61 / 120 / 30 - higher timeframe confirmation enabled - bar-close confirmed logic
Indicador Pine Script®
por memeticmoney
AG Pro Volume Profile POC Magnet Map [AGPro Series]AG Pro Volume Profile POC Magnet Map Overview AG Pro Volume Profile POC Magnet Map is a chart-overlay indicator built around one practical question: how strongly is the current Point of Control attracting, holding, or losing price? Instead of trying to replicate a full volume-profile workstation, this script focuses on the behavior of the active POC and the surrounding value area. The goal is to turn a familiar volume-profile concept into a cleaner decision-support map that helps users judge whether price is still interacting with the current fair-value center, rejecting it, reclaiming it, or beginning to establish value elsewhere. The script is designed for users who want a visual framework around POC behavior without covering the chart with heavy histogram structures or overly complex dashboards. It highlights the active POC, the current Value Area High (VAH), the current Value Area Low (VAL), a compact magnet band around the POC, and a small set of reaction labels that describe how price is interacting with that area. In short, this indicator is not trying to tell users what to buy or sell. It is trying to make one specific market reference more readable: the relationship between price and the current POC region. What the script does At a high level, the script does five things: 1) It builds a fixed-lookback volume-distribution map from recent chart data. 2) It derives the active POC, VAH, and VAL from that distribution. 3) It measures how close price is to the current POC and how often price revisits or accepts that region. 4) It converts those observations into a compact Magnet Score and state readout. 5) It marks a small set of price/POC interaction events such as Tag, Reject, and Reclaim. The result is a visual tool that combines reference levels and contextual interpretation in one overlay. Unique edge Many indicators can show a POC. This script is built to answer a more specific question: what is the quality of the current POC as a magnet for price? That difference matters. A raw POC line can be useful, but by itself it does not explain whether price is repeatedly returning to it, drifting away from it, rejecting it, or stabilizing around it. This script adds that missing context by combining the active POC with a behavior layer. The design goal is not “more features.” The design goal is clearer interpretation: - Is price still accepting the current value center? - Is the POC functioning as a pullback magnet? - Is price rejecting the area instead of accepting it? - Is value beginning to migrate? That is the role of the score, the state engine, and the reaction labels. Methodology The script uses a fixed lookback window and divides the recent price range into user-defined bins. It then allocates each bar’s volume to one price bin using the selected bar source, which can be Close or HLC3. From that distribution it identifies: - POC: the highest-volume bin in the lookback window - VAH: the upper boundary of the selected value area percentage - VAL: the lower boundary of the selected value area percentage After the levels are derived, the script evaluates how price is behaving relative to the active POC region. The Magnet Score is built from multiple components: - Distance: how far current price is from the POC, normalized by ATR - Revisit behavior: how often price has returned to the POC region - Acceptance behavior: how often price has closed near the POC region - Stability: whether the POC is relatively stable or drifting quickly - Rejection pressure: whether interactions with the POC region are ending in rejection rather than acceptance These components are combined into a bounded 0-100 score. Higher readings suggest that the current POC remains a stronger center of attraction. Lower readings suggest weaker pull, weaker acceptance, or a market beginning to operate away from the current value center. The script then classifies context into states such as: - Magnet Strong - Magnet Active - POC Tagged - POC Rejected - Accepted Away - Magnet Weakening This state layer is designed to summarize the current context rather than generate automatic trading instructions. How to read the chart POC The POC is the main reference line. It marks the highest-volume price zone inside the selected lookback distribution. If price repeatedly returns to it, reacts from it, or consolidates around it, that line is functioning as an active center of interest. VAH and VAL VAH and VAL define the current value-area boundaries. These help users judge whether price is still operating inside value or beginning to establish acceptance above or below it. Magnet band The magnet band is a narrow region around the POC. It exists to make POC interaction easier to read visually. It is not a claim that every touch is meaningful. It is simply a compact visual tolerance zone around the active POC. Reaction labels The script can display a small set of event labels: - Tag: price reached the current POC region - Reject: price interacted with the area and moved away - Reclaim: price crossed back through the active POC after being on the other side These labels are meant to help describe interaction, not to replace confirmation logic, risk management, or broader market context. Panel The panel summarizes: - Magnet Score - POC Distance - POC Drift - Value Context - Last Reaction - Current POC / VAH / VAL values This gives users a quick status view without needing to inspect every line manually. Typical use cases This indicator may be useful when users want to: - monitor whether pullbacks are still returning to the active POC - judge whether price is still auctioning inside value or beginning to accept away from value - compare different symbols for how “sticky” the current POC region appears to be - add context to an existing structure, trend, or mean-reversion workflow - keep a cleaner chart while still tracking basic volume-profile behavior The script is intended as a context and interpretation layer. It is not a complete trading plan on its own. Key inputs Lookback Bars Controls the size of the historical window used for the profile calculation. A larger value creates a broader context. A smaller value makes the profile more reactive. Rows / Bin Count Controls profile granularity. Higher values create more detailed binning. Lower values produce a smoother, simpler map. Value Area % Defines how much of total lookback volume is included inside the value area used to derive VAH and VAL. Price Source For Bin Allocation Lets users choose whether each bar’s volume is allocated using Close or HLC3. This changes how the profile is distributed across bins. ATR Length Used in normalization and spacing calculations, including the distance component and label positioning. Magnet Band Width (ATR) Controls the thickness of the tolerance zone around the active POC. Distance Ceiling (ATR) Caps how far price can be from the POC before the distance component is treated as maximally weak. Revisit Window and Acceptance Window These affect how the script measures repeated interaction and acceptance around the active POC region. POC Drift Lookback Used to estimate whether the active POC is relatively stable or shifting. Label controls Users can adjust label visibility, density, cooldown behavior, and right-edge line labels to keep the chart cleaner or more descriptive depending on preference. Alerts The script includes alert conditions for: - POC Tag - POC Reject - POC Reclaim - Magnet Strong - Magnet Active - Magnet Weakening - Accepted Away These alerts are event-based notifications tied to the script’s contextual logic. They are not performance claims and they should not be interpreted as guaranteed entry or exit signals. Limitations and transparency This script uses a fixed-lookback, bar-based approximation of volume distribution. It does not reconstruct native exchange-level order flow, bid/ask delta, or true tick-by-tick auction detail. Volume is allocated to bins using a selected bar source rather than full intrabar volume-at-price reconstruction. That means the profile is intentionally simplified so it can remain lightweight and readable inside a standard Pine overlay. Because the script uses a rolling lookback window, the active POC, VAH, and VAL can change as older bars leave the window and newer bars enter it. That is normal behavior for this design. The reaction labels are descriptive, not predictive. A Tag does not imply reversal. A Reject does not guarantee continuation. A Reclaim does not guarantee trend resumption. They are context markers showing how price interacted with the current POC area according to the script’s definitions. This tool should be read in conjunction with price structure, volatility, liquidity conditions, and user-defined execution rules. What this script is not This script is not: - a full session volume-profile suite - an order-flow or footprint tool - a prediction engine - a guaranteed reversal detector - a stand-alone trade system It is a focused overlay for interpreting how price is behaving around the current Point of Control and value-area structure. Practical interpretation notes In many markets, the POC acts like a reference area rather than a directional signal. The more often price returns to it and the more often price stabilizes near it, the more useful that region can become as a working fair-value reference. By contrast, when price begins to hold above VAH or below VAL and stops interacting meaningfully with the POC region, the script may shift toward weaker magnet states or accepted-away context. That does not automatically imply trend continuation, but it does suggest that the current value center may be losing influence. Users may find this especially useful when comparing: - balanced conditions vs. directional conditions - shallow pullbacks vs. deeper value retests - symbols that keep rotating through value vs. symbols that are clearly accepting away from it Risk disclosure This indicator is for chart analysis and market context only. It does not provide investment advice, trading advice, or guaranteed outcomes. All indicators simplify market behavior. This script is no exception. Markets can ignore previously important value references, react differently across symbols and timeframes, and change behavior as volatility regimes shift. Users are responsible for their own confirmation process, execution decisions, and risk management.
Indicador Pine Script®
por AGProLabs
1
MTF Pure Delta Light [Zofesu]01 — Overview What is MTF Pure Delta Light? MTF Pure Delta Light is a minimalist overlay indicator that displays the volume delta of any chosen timeframe directly on your chart — as a compact, always-visible table widget. No separate pane, no clutter. Just the number and the trend direction. Delta is the difference between buying and selling volume pressure for a bar. A positive delta means buyers dominated. A negative delta means sellers dominated. Combined with the HMA trend direction, you get an instant read on who is in control — on any timeframe — without leaving your chart. BULLISH EXAMPLE TF: D Delta Trend +24.7K ▲ BEARISH EXAMPLE TF: D Delta Trend -19.4K ▼ Why "Light"? This is the lightweight companion to the full Flow Oscillator. No separate pane, no cumulative history — just the current bar's delta value and trend direction from your chosen timeframe, always visible on the chart. Designed for traders who want context without complexity. 02 — Delta Calculation How Delta Is Measured The indicator uses the same dual-source delta standard as the full Flow Oscillator: Footprint - Real bid/ask volume delta via fp.delta(). Used when your broker or data feed provides footprint data. Exact buying vs. selling volume per bar. High ✅ Elder CTI - Approximation using volume × (2×close − high − low) / range. Automatic fallback when footprint is unavailable. Works on all instruments and brokers. Good ⚡ The delta is then smoothed using an HMA (Hull Moving Average) to determine trend direction. HMA is used specifically because it minimises lag — the trend signal responds quickly to delta shifts without excessive whipsawing. 03 — Table Widget Reading the Display The table widget shows two values at all times: Delta Value (left) The raw delta of the selected timeframe bar. Green = positive (buyers dominated). Red = negative (sellers dominated). Formatted as volume shorthand (K, M). Trend Arrow (right) ▲ Green — HMA delta trend rising. Buying pressure increasing. ▼ Red — HMA delta trend falling. Selling pressure increasing. ▬ Gray — No change. Neutral. ✅ Strong Bullish Delta positive AND trend arrow ▲. Buyers in control and accelerating. Highest confidence bullish read. ⚠️ Divergence Warning - Delta positive BUT trend arrow ▼ — buying is slowing. - Delta negative BUT trend arrow ▲ — selling is slowing. Potential shift incoming. ✅ Strong Bearish Delta negative AND trend arrow ▼. Sellers in control and accelerating. Highest confidence bearish read. ➡️ Neutral Delta near zero or trend arrow ▬. No dominant force. Avoid directional bias until one side takes control. 04 — Settings Configuration Parameters Group - Parameter - Default - Description Core - Target Timeframe - D - Timeframe for delta calculation. Use standard TV notation: 1, 5, 15, 60, 240, D, W. Leave D for daily delta on any intraday chart. Core - Trend Smoothing (HMA) - 5 - HMA length for delta trend direction. Lower = faster reaction, more signals. Higher = smoother, fewer but stronger signals. UI - Table Position - Top Right - Position of the widget on the chart. Options: Top Right, Top Left, Bottom Right, Bottom Left, Middle Right, Middle Left. UI - Text Size - Large - Widget text size. Small for compact charts, Large for readability at a glance. UI - Background Opacity - 80 - Transparency of the widget background. 0 = fully transparent, 100 = fully opaque black. Timeframe examples: 60 = 1 hour · 240 = 4 hours · D = Daily · W = Weekly Recommended setup: If you trade H1 charts, set Target Timeframe to D. You get the daily delta context without switching charts. 05 — Use Cases When and How to Use It Higher timeframe context on intraday charts Set Target Timeframe to D while trading on H1 or H4. The widget shows you whether the daily bar is currently dominated by buyers or sellers — without leaving your intraday view. Align your intraday trades with the daily delta direction for higher probability setups. Quick confluence check Before entering a trade, check the widget. If your price action setup is bullish but the delta is strongly negative with a ▼ trend — reconsider. If everything aligns — price structure, S/R, and positive delta ▲ — confidence increases. Multi-indicator stack MTF Pure Delta Light is designed to run alongside other indicators without occupying a separate pane. Pair it with Best MA for trend context and Flow Oscillator for cumulative delta history — all three together give a complete volume-delta picture. Important: Delta is a confirmation tool, not a prediction tool. A positive delta tells you buyers dominated the last completed bar on your chosen timeframe — it does not guarantee the next bar will be bullish. Always use price structure and S/R as your primary decision framework.
Indicador Pine Script®
por Zofesu
Heikin Ashi Moving Average Overlay - Wall Street RedneckTurn any standard candlestick chart into a Heikin Ashi trend map — without replacing your candles. This overlay draws a moving average that matches Heikin Ashi candle colors in real time. Green = bullish trend, Red = bearish trend. Smooth, simple, and instantly readable. Unlike regular Heikin Ashi candles, this overlay keeps your chart clean while still showing exact trend direction based on Heikin Ashi logic. How to use: Add it to any candlestick chart to see trend direction at a glance. Use it as a trend filter or visual confirmation alongside your favorite strategies.
Indicador Pine Script®
por Wall-Street-Redneck
2
HTF Candles [crlmx] Higher Timeframe Candle Overlay (HTFC) for multi-timeframe overview/analysis. Key Features - Overlay candles from any higher timeframe (default: 1D) - Live candle updates on last bar - Configurable outline and body transparency - Streamlined inputs / UI brought to you by crlmx Trading Applications - View Daily candles in context of intraday charts (W/M with 1-12H) - Higher timeframe support/resistance levels visible - Match HTF to trading style, pick 1-2 levels above chart TF - Daily HTF candles on 15min-1H charts provide structure reference - Live last candle develops with price Scalping: HTF: 1H | Chart: 1m-5m Day Trading: HTF: 4H or 1D | Chart: 15m-1H Swing Trading: HTF: 1W | Chart: 4H-1D Version History v1.26 (Latest - 21 Feb 2026) - HTF candle overlay (1D default) - Configurable timeframe selection - Outline/body transparency control - Live candle updates
Indicador Pine Script®
por crlmx
EH StochRSI DualBB Overlay1. Overview This script extends the open-source Stochastic RSI implementation published by LazyBear, incorporating Ehlers Super Smoother filtering. The primary modification introduces a dual Bollinger Band–based price mapping framework that projects oscillator values directly into price space. 2. Theoretical Basis The core oscillator structure is derived from: Stochastic RSI methodology Ehlers Super Smoother filter (John F. Ehlers) The oscillator is normalized to a bounded range of . 3. Structural Extension Unlike the conventional sub-window oscillator format, this version transforms the oscillator into an overlay-based volatility projection model. Two volatility envelopes are applied: Bollinger Band (Length 20, Multiplier 4) Bollinger Band (Length 20, Multiplier 2) 4. Mapping Model Specification The mapping is defined as follows: Oscillator +50 → BB(20,4) Upper Oscillator -50 → BB(20,4) Lower Oscillator +25 → BB(20,2) Upper Oscillator -25 → BB(20,2) Lower The projection is linear and volatility-relative: Price = Basis + (Oscillator / ScalingFactor) × BandDeviation This creates a volatility-aligned price envelope representation. 5. Analytical Intent The script is designed for: Volatility structure visualization Contextual price positioning within dynamic deviation layers Overlay-based structural observation It is not intended as a standalone signal generator. 6. Limitations Because oscillator values are projected into price space, divergence analysis using this mapped representation is not recommended. The distortion introduced by volatility scaling alters traditional oscillator interpretation.
Indicador Pine Script®
por indest1593
My Candle (HTF Overlay) This indicator overlays Higher Timeframe (HTF) candles, such as Daily or Weekly, onto your current chart background. It allows you to grasp the larger trend while trading on lower timeframes. - Accurate Historical Data: By utilizing "lookahead", this script ensures that the High and Low of the HTF candles align perfectly with the price action on historical charts. - Gap Filling: Includes an option to fill data gaps for a smoother visual experience. - Customization: You can easily change the timeframe and adjust the transparency of colors to suit your chart theme. 1. Add to the chart. 2. Open settings to select your target timeframe (e.g., "1 Day" or "1 Week"). 3. Adjust the "Gap" and "Transparency" settings as needed.
Indicador Pine Script®
por 3starterjp
2
Smart RSI Candles [DotGain]Smart RSI Candles – Description Smart RSI Candles is a minimalist yet powerful overlay indicator that visualizes RSI conditions directly on price candles. Instead of plotting a separate RSI oscillator, this tool colors the chart bars based on customizable RSI threshold levels, allowing traders to instantly identify overbought and oversold regimes within the price action itself. The indicator is built on the classic Wilder RSI and supports up to three upper (overbought) and three lower (oversold) levels. Each level can be individually enabled or disabled, making the indicator fully modular and adaptable to different trading styles and market conditions. Key Features RSI-based candle coloring (no separate panel required) Up to 6 customizable RSI levels Individual On/Off toggle for each level Extreme conditions highlighted in blue Works on any market and timeframe Clean, non-intrusive visual design Color Logic Overbought (Upper Levels) Level 1: Light green → mild overbought Level 2: Dark green → strong overbought Level 3: Blue → extreme overbought Oversold (Lower Levels) Level 1: Light red → mild oversold Level 2: Dark red → strong oversold Level 3: Blue → extreme oversold Neutral RSI values keep the original candle color. How to Use Use upper levels to identify potential exhaustion in bullish moves. Use lower levels to spot potential panic or capitulation zones. Combine with trend analysis, support/resistance, or volume for confirmations. Disable specific levels to create conservative or aggressive RSI regimes. Use Cases Mean reversion strategies Momentum exhaustion detection Visual risk regime mapping Multi-timeframe RSI context Smart RSI Candles is designed for traders who want RSI information integrated directly into price, without clutter — fast, intuitive, and highly customizable. Have fun :) Disclaimer This Smart RSI Candles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a Relative Strength Index (RSI) based visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, or trademarked methodologies. The colored candles displayed by this indicator are generated by a predefined set of algorithmic conditions based on RSI threshold levels. They do not constitute a direct recommendation to buy or sell any financial instrument. All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights potential overbought and oversold market conditions and may produce false, lagging, or misleading signals. Market conditions can change rapidly and remain irrational longer than expected. The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides.You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate signals with additional tools or analysis, and consider your personal financial situation and risk tolerance before entering any trade.
Indicador Pine Script®
por DotGain
HTF Candles on Lower Timeframes (Manual OHLC)Hi everyone, this indicator is designed to plot higher timeframes candles on the chart. Here are the details: The data is built directly from OHLC values at specific time intervals, instead of using request.security. It supports 1H / 2H / 4H / 8H / 1D higher timeframes, and can be viewed on lower timeframes such as 5m / 10m / 15m / 30m. The main idea behind this chart is to serve as a foundation for building other indicators that need to operate on higher timeframes while still being visualized on lower timeframes. Feel free to share your feedback or ideas for improvement in the comments below.
Indicador Pine Script®
por algedo
2
MarketMind LITEM🜁rketMind LITE ──────────────────── Essential Market Awareness, Reduced to Its Core M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context . It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance. This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making. WHAT IT DOES ──────────────────── M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis. The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction. The script provides visibility into: Time-of-day session context Basic market regime classification (trending, range-bound, mixed) Short-term momentum direction only (up, down, neutral) A clean, static HUD display M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience. The goal is to support awareness without influence . HOW TO USE IT ──────────────────── M🜁rketMind LITE is not a signal generator. It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution. Common use cases include: Maintaining session awareness Preserving context during focused trading periods Reducing cognitive load while monitoring markets M🜁rketMind LITE does not evaluate risk, alignment, or opportunity. It simply shows what is happening. DESIGN PHILOSOPHY ──────────────────── M🜁rketMind LITE is intentionally minimal. It includes only essential awareness elements and excludes all interpretive or evaluative logic: Situational context only Directional momentum (up / down / neutral) No diagnostics, confidence, or conviction framing No process, risk, or quality assessment Presentation controls only (HUD on/off, size, position) Nothing is inferred. Nothing is suggested. This script shows market state without interpretation. WHO IT IS FOR ──────────────────── M🜁rketMind LITE is suited for traders who: Want passive situational awareness Prefer minimal on-chart information Already operate with a defined decision process It is not designed for: Analytical or diagnostic use Risk evaluation or context synthesis Traders seeking guidance or confirmation IMPORTANT NOTES ──────────────────── M🜁rketMind LITE does not provide financial advice No system can predict future price behavior This tool is designed for awareness only Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference.
Indicador Pine Script®
por nedra-codes