Direction

MisinkoMaster's Aroon Oscillator Special Aroon Oscillator by MisinkoMaster The Special Aroon Oscillator is a modified implementation of the traditional Aroon Oscillator designed to capture momentum shifts with reduced noise and lag. Traditional Aroon calculations rely strictly on raw High and Low price extremes over a fixed period. This script incorporates a double-exponential smoothing mechanism on your chosen input source prior to measuring bar distance, providing cleaner zero-line crossovers and smoother trend transitions. Key Features Custom Smoothing Pre-Filter: Applies a smoothing calculation to the source series to filter out market noise before calculating high/low bar distances. Dynamic Visual Cues: Renders an oscillator bounded between +100 and -100 with color-coded trend indicators, zero-line bounds, and background fills. On-Chart Bar Coloring: Dynamically colors price candles directly on your chart to match the oscillator's prevailing directional bias. Built-in Alert Conditions: Includes ready-to-use alerts for zero-line crossovers to notify you of bullish and bearish regime shifts. How It Works Calculations: The indicator smooths the chosen input source using the Smooth length. It then identifies the number of bars since the highest and lowest values of this smoothed series over the user-defined Length lookback. Oscillator Formula: Oscillator = Aroon Up - Aroon Down Above 0 (Green): Bullish trend state. Below 0 (Red): Bearish trend state. Bar Coloring: Price candles on the chart match the current oscillator state—green during bullish momentum and red during bearish momentum. Inputs & Settings Source (Default: Close): The price series used for calculation. Length (Default: 28): The lookback window in bars used to identify recent highs and lows. Smooth (Default: 14): The lookback length for the pre-smoothing filter. How to Use Zero Crossovers: Watch for the oscillator crossing above zero for potential bullish setups, or below zero for bearish setups. Extremes (+100 / -100): Values near +100 indicate persistent buying pressure, while values near -100 indicate strong selling pressure. Built-in Alerts Bullish Zero Cross: Triggers when the oscillator crosses above 0. Bearish Zero Cross: Triggers when the oscillator crosses below 0.

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của MisinkoMaster

Multi Trend Filter Overview Multi Trend Filter shows the market's underlying trend with a single, clean line. It uses the Daily timeframe as the base, then layers 4H and 30m confirmation on top, coloring the trend in three intuitive states: green / yellow / red. No matter which chart timeframe you view it on (15m, 1h, 4h, etc.), it stays consistent on the Daily basis, and a two-pass smoothing keeps the line smooth on any chart. WHAT THE COLORS MEAN Green (UPTREND): Uptrend confirmed. Yellow (TRANSITION): Trend is shifting — awaiting confirmation. Red (DOWNTREND): Downtrend confirmed. HOW IT WORKS — 3-STAGE MULTI-TIMEFRAME CONFIRMATION Set the broad direction with higher timeframes first, then confirm the entry with the lower timeframe last. Daily (Base / Reference line) — the line drawn on the chart; the anchor of the larger trend. 4H (Primary confirmation) — when both the close and the 4H flow align above/below the Daily line, the base direction is set. 30m (Final confirmation) — in that base direction, once the candle body closes across the 30m line, the color is finalized: Close closes ABOVE the 30m line → Green Close closes BELOW the 30m line → Red Yellow (Transition) is the period before both stages confirm — the 4H hasn't committed yet, or it has but the close hasn't cleared the 30m line. Once green/red is confirmed, the color ignores minor noise while the base holds (latch), so it won't flicker. HOW TO READ IT Green: uptrend intact. Look for pullback entries. Red: downtrend intact. Look for bounce exits / stay aside. Yellow: direction unclear; safer to wait until it confirms green/red. Yellow to Green = bullish shift. Yellow to Red = bearish shift. KEY SETTINGS Trend Line — First / Second Smoothing Length: line smoothness and responsiveness. Display Smoothing — Smooth Line, Smooth Strength: keeps the line smooth on any timeframe (higher = smoother, slightly more lag). Confirmation Lines — Show 30m Line (Signal) / Show 4H Line (Base): reveal the lines used for confirmation. Style — up/down/transition colors, line width, fill and transparency, trend label. TIPS Use it as a trend direction and shift filter, not a standalone trade signal. Reliability increases when the trend color agrees with your own setup (support/resistance, volume, etc.). If the line looks choppy, raise Smooth Strength. DISCLAIMER This indicator is a reference tool to help judge trend direction. It does not guarantee trading profits. All trading decisions and responsibility rest solely with the user.

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Market Regime LT Direction (Long-Term Objective Filter)Overview The Market Regime LT Direction indicator is a heavy-duty, multi-factor scoring engine designed to identify the macro market regime. Unlike conventional indicators that rely on a single moving average, this script utilizes a sophisticated matrix of several distinct technical factors across different lookback periods to classify the long-term market environment. To ensure absolute objectivity and eliminate the pitfalls of over-optimization, this indicator features a zero-input design — there are no parameters to tweak, giving you a robust, curve-fitting-immune view of institutional trend direction. Why You Should Use This Indicator (The Value Proposition) Traders often fail because they misjudge the macro environment. A system designed for a secular bull market will fail miserably when the macro regime shifts to a structural bear market or an extended sideways distribution. Immunity to Curve-Fitting: By fixing the core mathematical constants, this indicator provides an unbiased, baseline truth of the market structure across any asset class (Equities, Crypto, Forex, or Commodities). Multi-Factor Confluence: Instead of guessing based on a single line, it dynamically calculates a mathematical "Total Score" using trend persistence, moving average geometry, linear regression slope, and momentum. Macro Filter for Portfolio Allocation: It is an excellent tool for swing traders and long-term investors to manage risk, determine position sizing, or implement an overall portfolio "Risk-On / Risk-Off" switch. How It Works & Underlying Logic The indicator separates its engine into two primary layers: a Visual Layer and a Scoring Layer . 1. The Visual Layer The underlying histogram is a slow-moving, high-period MACD calculated on the typical price (hlc3). This smooths out micro-volatility and visualizes structural macro-momentum. 2. The Scoring Layer (Weighted Confluence Matrix) The color of the histogram bars is dictated by a strict mathematical matrix. Factors are split into two categories and weighted based on macro relevance: Low Relevance Score (Short-Term Confluence) like 20 EMA slope direction, fast MACD momentum slope changes and price location relative to the 50 EMA. High Relevance Score (Long-Term Structure) like price location relative to the 200 SMA, 50 EMA location relative to the 200 SMA, recent swing high/low persistence over a 30-bar window and 100-candle Linear Regression slope. The script combines these metrics into a standardized Total Score ranging between -3.0 and +3.0 . How to Interpret It for Your Trading 🟩 Lime (Macro Bullish Regime — Score > 1): Complete structural alignment to the upside. Long-term institutional buying is in control. Aggressive Long bias / Risk-On. 🟥 Red (Macro Bearish Regime — Score < -1): Complete structural alignment to the downside. Macro distribution or a structural markdown is underway. Aggressive Short bias / Defensive capital preservation. 🟨 Yellow (Transitional / Sideways Regime): The factors are in conflict, or the macro trend is losing momentum. The market is consolidating or preparing for a regime shift. Neutral stance / Reduce position sizes / Expect choppy price action. Pro-Tip: Pair this with the Market Regime ST Direction indicator. When the Short-Term indicator aligns with this Long-Term macro engine (e.g., both turning Green), you have a mathematically high-probability environment for trend-following expansions.

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Market Regime ST Direction (Short-Term Filter)Overview The Market Regime ST Direction indicator is a streamlined tool designed to identify the short-term market environment, specifically optimized for the Daily Chart . It serves as an über-clean trend and phase filter built to protect your trading strategy from taking unnecessary losses during difficult, choppy market conditions. The indicator focuses exclusively on market direction , intentionally filtering out volatility noise and secondary market factors. Why You Should Use This Indicator (The Value Proposition) It is a fundamental truth in trading: no single strategy works in all market environments . Trend-following systems bleed capital in sideways ranges, while mean-reversion setups get destroyed in strong, runaway trends. Smart Loss Filtering : This indicator helps you decide when not to trade. It identifies unprofitable market phases before your account takes a hit. The Market Traffic Light : Use it as a higher-timeframe filter. Only allow long trades in the bullish (green) regime, short trades in the bearish (red) regime, and pause your strategy during the choppy (gray) regime. Clarity Over Overtrading : With its clear, color-coded separation, you can instantly see whether the market has a clean directional bias or is caught in the "chop." How It Works & Underlying Logic The script intelligently decouples visual momentum from the actual trend regime logic: The Visual Foundation (MACD Histogram) : The baseline visual consists of a classic MACD histogram calculated on the typical price (hlc3). This displays the current momentum of the market. The Regime Filter (EMA Slope) : Crucially, the color of the bars is not determined by the MACD. Instead, it is driven entirely by the slope (steepness) of the fast 20 EMA. The Noise Filter (Threshold) : To prevent the indicator from constantly flickering back and forth with minor price ticks, a percentage-based threshold (Sideways Threshold, default: 0.15%) is implemented. The market is only classified as trending when the EMA slope cleanly exceeds this threshold. How to Interpret It for Your Trading 🟩 Lime (Bullish Regime) : The 20 EMA slope is strongly positive. The short-term trend is firmly up. Focus on Long setups. 🟥 Red (Bearish Regime) : The 20 EMA slope is strongly negative. The short-term trend is firmly down. Focus on Short setups. ⬜ Gray (Sideways/Chop) : The slope is too flat and remains within the threshold boundaries. Caution: This is where trend strategies usually experience their heaviest drawdowns. This is an excellent time to sit on your hands and wait on the sidelines. Pro-Tip : Apply this indicator to the Daily chart of your favorite asset. If you trade a trend-following strategy on lower timeframes (e.g., 1H or 15M), strictly filter your entries based on the color of the Daily regime.

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Generalized Fisher Transform [LB] Concept The Generalized Fisher Transform extends John F. Ehlers' classic Fisher Transform (2002) by introducing an adjustable shape parameter that controls the sensitivity profile of the transformation. While the original Fisher Transform maps any normalized input to a near‑Gaussian output to highlight statistical extremes, this generalized version allows traders to emphasize central regions (shape < 1) or extreme tails (shape > 1) depending on their strategy. Mathematical Foundation The indicator first normalizes price to a bounded range using a rolling min‑max window of length N : x = 2 × (P - L_min) / (H_max - L_min) - 1 A signed power is then applied with a shape factor p : x_p = sign(x) × |x|^p The generalized Fisher Transform is computed as : F = 0.5 × ln( (1 + x_p) / (1 - x_p) ) When p = 1 , the formula reduces to the classic Fisher Transform. Values of p < 1 amplify sensitivity near zero (central price region), while p > 1 amplify sensitivity near the edges (extreme price region). The result is smoothed by an EMA for noise reduction. What Problem Does It Solve ? Classic oscillators such as RSI or Stochastic use fixed non‑linear mappings that cannot adapt to different market regimes or trader preferences. The classic Fisher Transform offers a single sensitivity profile. The Generalized Fisher Transform solves this by exposing the shape parameter p , giving traders direct control over where the indicator is most responsive — near the mean or near the extremes — without changing the underlying logic or introducing additional indicators. How To Interpret The indicator operates in two selectable modes : Extremes Mode – the background turns red when Fisher exceeds the upper threshold (statistically overbought), and green when it drops below the lower threshold (statistically oversold). These zones suggest potential mean‑reversion. Direction Mode – the background turns cyan when Fisher is above zero (bullish bias) and orange when below zero (bearish bias). This mode is suited for trend‑following or directional confirmation. In both modes, the Fisher line crossing zero indicates a shift in the price distribution relative to its recent range. Parameters Source – price data used for the calculation (default: close). Normalization Period – number of bars used to compute the rolling min‑max for the normalization. Shape Factor – exponent applied to the normalized price before the Fisher transform. 1 = classic Fisher, < 1 = center‑sensitive, > 1 = tail‑sensitive. Smoothing Period – EMA length applied to the raw Fisher output. Coloration Mode – switches between "Extremes" (overbought/oversold highlighting) and "Direction" (bullish/bearish highlighting). Upper Threshold – Fisher level above which the background turns red in Extremes mode. Lower Threshold – Fisher level below which the background turns green in Extremes mode. Reference Ehlers J.F., "Using the Fisher Transform", Technical Analysis of Stocks & Commodities, Vol. 20, No. 11, pp. 40‑45, November 2002. Ehlers J.F., "Cybernetic Analysis for Stocks and Futures", Chapter 4 – The Fisher Transform, John Wiley & Sons, 2004.

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của luis_barlier

Heikin Ashi Cloud Overlay | Rainbow Matrix GENERAL OVERVIEW The Heikin Ashi Cloud Overlay renders a Heikin Ashi cloud directly on top of traditional candlesticks, giving traders both views in a single chart. HA candles smooth macro trend perception by filtering individual-bar noise, but they sacrifice entry-bar precision because each HA candle does not represent the actual price range traded on that bar. This script preserves both signals simultaneously: the HA cloud surfaces directional context, while the underlying real candles preserve precise execution-bar timing. A compact corner HUD reports current HA direction, consecutive streak length, and body-size anomalies relative to a 20-bar rolling average — useful for monitoring momentum exhaustion and impulsive expansion in real time without analyzing the cloud manually. The script adds a visual intelligence layer on top of the standard HA pattern: cloud fill opacity dynamically reflects body intensity (impulsive bars render densely opaque, normal bars render lightly), and small colored dots flag body anomalies (current body > 3× rolling average) directly on the chart. WHAT IS THE THEORY BEHIND THIS INDICATOR? Heikin Ashi candles are derived from traditional OHLC via a recursive smoothing formula introduced by Munehisa Homma in 18th-century Japanese rice trading and popularized in modern Western technical analysis through the work of Dan Valcu and others. The transformation produces candles that emphasize trend persistence over discrete price action: consecutive same-color HA candles indicate ongoing directional pressure, while doji-like HA candles or sudden color flips often signal pivots. The trade-off is well-known: HA candles do not show real OHLC. The haOpen of each candle is the average of the previous haOpen and haClose, not the actual session open. This makes HA excellent for trend reading but unreliable for entry timing — orders need to reference the actual price range of the bar, not the smoothed projection. The conventional solutions are either to switch back and forth between HA and regular candle views (cognitive overhead), or to use HA as the primary chart and lose precision on entries (execution cost). This indicator takes a third approach: render the HA candles as a transparent overlay envelope on top of the standard candlesticks. The trader sees both at once. The HA envelope communicates trend context; the underlying candles preserve real-bar precision. The state machine layered on top — direction tracking, streak counting, and body-size anomaly detection against a rolling average — converts the visual cloud into a numerical readout, surfacing exhaustion and impulsive moves that might be missed at a glance. HA CLOUD OVERLAY FEATURES The indicator includes 5 main components: Heikin Ashi Cloud Overlay Body Intensity Modulation (dynamic opacity) Body Anomaly Visual Markers HA State HUD Panel Three Optional Alerts HEIKIN ASHI CLOUD OVERLAY 🔹 What It Does For each bar on the chart, the indicator computes the four Heikin Ashi values (haOpen, haClose, haHigh, haLow) using Pine Script's canonical recursive formula. It then renders a thin envelope between haHigh and haLow with semi-transparent fill, plotted on top of the underlying traditional candles. 🔹 Method The computation follows the standard HA definition: ◇ haClose = (open + high + low + close) / 4 ◇ haOpen = average of the previous haOpen and the previous haClose (recursive) ◇ haHigh = max of (high, haOpen, haClose) ◇ haLow = min of (low, haOpen, haClose) A `var float ha_open = na` seed pattern handles the first-bar initialization safely, avoiding NA propagation that would corrupt the recursive chain. 🔹 Visual Behavior The envelope is rendered as a thin top-bottom band with translucent fill. The fill color reflects the HA direction: bullish (haClose ≥ haOpen) renders in the configured bull color (TradingView native teal by default); bearish (haClose < haOpen) renders in the bear color (TradingView native red by default). An optional midline (dotted) at the (haOpen + haClose) / 2 level can be toggled for traders who prefer an explicit midpoint reference. BODY INTENSITY MODULATION 🔹 What It Does The cloud fill transparency is dynamically modulated based on the current HA body size relative to the 20-bar rolling average. Bars with above-average body push the fill toward more opaque, surfacing impulsive expansion clusters visually without requiring HUD analysis. 🔹 Tier Logic ◇ Body < 1× average: standard transparency (user-configured slider value) ◇ Body 1-2× average: −10 transparency (notable bar — slightly more opaque) ◇ Body 2-3× average: −30 transparency (strong bar — clearly more opaque) ◇ Body ≥ 3× average: −50 transparency, floor 20 (anomaly — densely opaque) The floor cap of 20 prevents the fill from becoming so opaque that the underlying candle wicks become unreadable, preserving the dual-view principle of the indicator. 🔹 Why It Helps Body intensity modulation converts the cloud from a static color band into a momentum-aware visualization. During quiet conditions, the cloud whispers; during impulsive expansion or capitulation phases, the cloud intensifies visually. Traders monitoring multiple charts can identify regime changes peripherally without focusing on any single chart's HUD. 🔹 Toggle The feature is enabled by default and can be disabled via the "Body Intensity Cloud Opacity" input in the HA CLOUD group, which restores fixed transparency from the slider. BODY ANOMALY VISUAL MARKERS 🔹 What It Does A small colored dot appears on the chart whenever the current HA body exceeds 3× the 20-bar rolling average. Bull anomalies render as a dot below the bar (location.belowbar); bear anomalies render as a dot above the bar (location.abovebar). Dot colors match the configured bull/bear palette. 🔹 Why It Helps The markers convert the alert-only body anomaly detection into a persistent visual signal that remains visible on chart history. Traders reviewing past price action can identify impulsive expansion or capitulation events at a glance, without scrolling through alert history or replaying bars. 🔹 Independent of the Alert The visual markers and the body anomaly alert are independently toggleable. Traders can show the markers without enabling the alert (visual-only mode) or enable the alert without showing the markers (sound/notification-only mode). 🔹 Toggle Enabled by default via the "Show Body Anomaly Markers" input in the HA CLOUD group. HA STATE HUD PANEL 🔹 What It Shows A compact 4-row corner panel reports three live values: ◇ Direction — current HA candle direction (Bull / Bear), color-coded ◇ Streak — consecutive same-direction count (in current locale, e.g., "7 velas (candles)" in PT) ◇ Avg Body — the average HA body size over the last 20 bars, expressed as a percentage of price 🔹 Why It Helps The HUD converts the cloud into a numerical readout. Instead of visually estimating streak length or body proportion, traders can read the exact values on each bar. This is particularly useful for traders monitoring multiple charts or running automated rules where consecutive-bar conditions need to be tracked precisely. 🔹 Customization The HUD can be positioned in any of the four chart corners and rendered in any of five font sizes. The Direction row uses contrasting colors (bull vs bear) for immediate parsing. THREE OPTIONAL ALERTS 🔹 Alert Types Each alert is independently toggleable in the indicator settings: ◇ HA Direction Change — fires on the close of a confirmed bar when the HA direction flips (bull→bear or bear→bull). Useful as a confirmation filter on top of other entry signals. ◇ HA Streak Exhaustion — fires when the absolute streak length crosses a user-configurable threshold (default 7). Long consecutive streaks often precede mean-reversion phases, especially in ranging markets. ◇ HA Body Anomaly — fires when the current HA body exceeds 3× the 20-bar rolling average. Anomalous body sizes typically signal impulsive expansion, capitulation, or news-driven moves worth investigating. 🔹 Firing Mechanism All alerts are gated by `barstate.isconfirmed`, which means they only trigger on the close of the bar that satisfies the condition — never intra-bar. This prevents false signals from intrabar fluctuations that get rejected before close. Each alert uses `alert.freq_once_per_bar` to avoid duplicate firings on the same candle. 🔹 alertcondition() Mode A dummy `alertcondition` titled "HOW TO SETUP ALERTS (READ)" is exposed at the bottom of the script. It provides setup guidance via its message field, instructing users to select "Any alert() function call" in the TradingView alert condition menu and filter individual alerts via the indicator settings. MULTILINGUAL INTERFACE The indicator supports five languages for the HUD display and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, and configuration tooltips remain in English regardless of the selected language. For reference, examples of multilingual UI strings used in the HUD: ◇ Direction labels: "Direction:" / "Direção:" / "Dirección:" / "Направление:" / "方向:" ◇ Direction text: "🟢 BULL"/"🔴 BEAR" / "🟢 ALTA"/"🔴 BAIXA" / "🟢 ALCISTA"/"🔴 BAJISTA" / "🟢 БЫЧИЙ"/"🔴 МЕДВЕЖИЙ" / "🟢 多头"/"🔴 空头" ◇ Streak units use a bilingual pattern: "candles" stays in English as a universal technical term; native terms appear in parentheses where the local equivalent is well-established (e.g., "7 velas (candles)"). CUSTOM PALETTE TOGGLE 🔹 What It Does By default, the indicator uses native TradingView teal/red colors for visual familiarity. A "Use Custom Cloud Colors" toggle in the settings switches to user-configurable bull/bear colors, useful for traders who want to align the cloud palette with their personal indicator stack or color preferences. HOW TO USE This indicator is a visualization tool, not a signal generator. It surfaces three categories of structural information: HA direction (smoothed trend context), streak length (momentum persistence), and body anomalies (impulsive moves). 🔹 Reading the Cloud ◇ Bull cloud (default teal) = current HA candle is bullish (haClose ≥ haOpen). ◇ Bear cloud (default red) = current HA candle is bearish (haClose < haOpen). ◇ A long sequence of same-color HA candles indicates strong directional pressure; mixed colors or doji-like HA candles indicate consolidation or pivot zones. ◇ Cloud density (opacity): denser fills mark bars with above-average body — pay attention to these zones, they often correspond to ignition or capitulation phases. ◇ Anomaly dots: when a dot appears below a bull bar or above a bear bar, the bar's body is 3× the recent average — exceptional impulse worth contextualizing against your other signals. 🔹 Reading the HUD ◇ Direction row: parse the current HA candle's directional state at a glance. ◇ Streak row: |streak| ≥ 7 → trend is mature, increasing probability of mean reversion or pullback. Streak just flipped sign → fresh direction. ◇ Avg Body row: current bar body > 3× this value → impulsive expansion or capitulation, worth investigating contextually. 🔹 Tactical Reading ◇ HA color flip + confirmation on the underlying candle: potential trend reversal or pullback entry. ◇ HA streak crosses the exhaustion threshold while price approaches a key level (from another indicator or manual S/R): increased probability of structural reaction. ◇ Body anomaly during otherwise quiet conditions: impulsive move (often news-driven or stop-cascade) — trade with reduced size or wait for retest. ◇ Cluster of dense-opacity bars: regime change or ongoing impulsive move — momentum is structurally elevated. 🔹 Multi-Indicator Workflow The HA Cloud Overlay is designed to layer cleanly with other indicators. It does not add lines or boxes that compete visually with structural indicators (VWAP, Volume Profile, S/R). The cloud sits behind the candles, the markers are minimal dots, and the HUD sits in a corner — total chart footprint is minimal. INPUTS EXPLAINED 🔹 System Language Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文. 🔹 Show Cloud Envelope Master toggle for the HA top-bottom envelope and fill. 🔹 Cloud Fill Transparency Base alpha of the cloud fill (60 = denser, 95 = barely visible). Floor of 60 keeps candle wicks readable. Default 80. When Body Intensity Modulation is ON, this value is the baseline; bars with above-average body intensity become progressively more opaque from this baseline. 🔹 Show HA Midline (dots) Optional thin dotted line at (haOpen + haClose) / 2. 🔹 Use Custom Cloud Colors OFF: native TradingView teal/red. ON: apply custom bull/bear colors below. 🔹 Custom Bull Color / Custom Bear Color Used when "Use Custom Cloud Colors" is ON. 🔹 Body Intensity Cloud Opacity When ON: cloud fill becomes progressively more opaque on bars with above-average body size. When OFF: cloud uses fixed transparency from the slider above. Recommended ON. 🔹 Show Body Anomaly Markers When ON: small colored dots appear on bars whose body exceeds 3× the 20-period average. Independent of the body anomaly alert. 🔹 Show HA State HUD Toggle for the corner HUD reporting Direction / Streak / Avg Body. 🔹 HUD Position Top Right (default), Top Left, Bottom Right, Bottom Left. 🔹 Font Size Tiny, Small (default), Normal, Large, Huge. 🔹 Streak Warning Threshold Streak length at which the Streak Exhaustion alert fires. Range 3–30, default 7. 🔹 Alert: HA Direction Change / HA Streak Extreme / HA Body Anomaly Independent toggles for each of the three alert types. IMPORTANT NOTES The Heikin Ashi Cloud Overlay works on any timeframe and any instrument. The HA computation is timeframe-agnostic — it transforms whatever OHLC data the chart provides. Alerts fire once per confirmed bar. Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator, but alerts will only fire after the bar closes. Body anomaly visual markers can update intra-bar (preview behavior) and settle on close. The body anomaly threshold (3× rolling average) and streak warning threshold (default 7) are derived from empirical observation across common timeframes and instruments. Both are user-configurable and should be tuned to the trader's instrument and timeframe — high-volatility crypto on 1m may warrant a higher anomaly multiplier than large-cap equities on Daily. The 20-bar body rolling average uses `ta.sma` of the percentage-based body size. The first 20 bars after script start will show partial values; once enough history is available, the value stabilizes. The body intensity modulation tier floors (50, 30, 20) are calibrated to preserve candle wick readability even on extreme anomaly bars — the floor 20 ensures the cloud never becomes fully opaque. Pine Script v6. Open-source under Mozilla Public License 2.0. UNIQUENESS The Heikin Ashi Cloud Overlay differs from the standard TradingView Heikin Ashi chart type and from other HA-based indicators in four structural ways. First, it preserves both views simultaneously rather than replacing one with the other. Standard HA chart mode hides the real candles entirely; this overlay keeps the underlying candles visible at all times, giving traders smoothed trend context (the cloud) and precise entry-bar timing (the underlying candles) in the same visual without context-switching cost. Second, the cloud fill opacity is dynamically modulated by body intensity relative to a 20-bar rolling average. Standard HA cloud indicators render fills with a single static transparency; this script renders impulsive bars (≥1×, ≥2×, ≥3× average body) with progressively more opaque fills, transforming the cloud from a static visualization into a momentum-aware density map. Capitulation, ignition, and impulsive expansion phases become visually identifiable peripheral signals. Third, it adds an explicit state machine layer over the raw HA visualization. Direction tracking, consecutive streak counting, 20-bar rolling body-size anomaly detection, and on-chart visual anomaly markers convert the visual cloud into a numerical readout reported live on a corner HUD. This converts subjective visual estimation (is this a long streak? is this body unusually large?) into deterministic measurements with configurable thresholds and a persistent visual record on the chart history. Fourth, it exposes three independently-toggleable alerts (direction change, streak exhaustion, body anomaly) gated by bar confirmation, making the indicator usable as a confirmation filter or trigger source in automated workflows. Most HA-based indicators are visualization-only or expose a single direction-flip alert; the multi-condition alert set here is designed for traders building structured rules around HA state rather than just observing it. The combination of dual-view preservation, body-intensity opacity modulation, state machine readout, visual anomaly markers, and multilingual UI produces a single overlay that combines the readability of Heikin Ashi smoothing with the precision of real candles, the rigor of a deterministic state readout, and the visual intuition of a density-aware momentum map.

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của rainbowmatrix

CISD Projection Ledger [JOAT]CISD Projection Ledger Introduction CPL CISD Projection Ledger is an open-source projection overlay that detects confirmed directional delivery shifts, then projects a structured target ledger from the qualifying run range. The indicator focuses on one job: finding a qualifying run, confirming the open-cross shift on a closed bar, and tracking which projection tiers have been reached or invalidated. Core Concepts 1. Directional Run Engine Bars are grouped into directional runs based on close-to-close progression. A run must meet the minimum bar count before it can qualify. 2. Edge Filter The prior run must form near the upper or lower region of the recent lookback range before a CISD event can trigger. 3. Open-Cross Confirmation A bullish CISD requires a prior bearish run and a confirmed close back above the prior run open. Bearish logic is mirrored. 4. Projection Ledger Five tiers are projected from the confirmed run range using configurable multipliers. 5. Reached and Invalid States Each tier fades after it is reached. The whole ledger invalidates if price closes beyond the opposite reference side. Features Confirmed CISD trigger: Uses closed-bar open-cross confirmation Range edge filter: Avoids projecting every minor run flip Five-tier ledger: Customizable projection multipliers Reached-level tracking: Levels visually fade after completion Invalidation logic: Opposite-side failure changes state Ledger band: Transparent fill from base to furthest target Top-right dashboard: Shows base, range, tier prices, reached status, and active state Alerts: Includes bullish and bearish CISD confirmations Input Parameters Run Engine: Minimum Run Bars Range Lookback Edge Window Ledger: Tier 1 through Tier 5 multipliers How to Use Step 1: Wait for a confirmed bullish or bearish CISD state in the dashboard. Step 2: Use the base level and projected tiers as a structured map of possible delivery objectives. Step 3: Watch reached status. Faded levels indicate completed tiers. Step 4: Respect invalidation. An invalid ledger means the original delivery thesis failed. Limitations Projection levels are analytical references, not guaranteed targets Strong reversals can invalidate a ledger quickly The edge filter may skip valid-looking setups that are not near the configured range edge The indicator should not be used without independent trade management Originality Statement CPL is an original JOAT implementation that transforms directional run logic into a confirmed CISD ledger with tier tracking, invalidation, and a restrained institutional visual system. Disclaimer This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management. Made with passion by jackofalltrades

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của officialjackofalltrades

Concordance Allocation Strategy [JOAT]Concordance Allocation Strategy Introduction Concordance Allocation Strategy is an open-source TradingView strategy that integrates regime detection, directional bias, momentum alignment, value-location filtering, and ATR-based risk management into one non-repainting framework. It is designed to trade only when multiple independent layers agree on bar close. The problem this strategy solves is isolated signal bias. A single good-looking signal can fail quickly if it appears in the wrong market regime, against the wrong directional structure, or in the wrong part of value. Concordance requires those layers to align before it enters a trade, then manages risk with fixed ATR targets and adaptive exits. Core Concepts 1. Regime filter The strategy uses a probability-based trend-versus-range classifier. Trades are only considered when the directional regime is confirmed on a closed bar. 2. Directional bias engine An ATR-based bias band adapts to noisy conditions and recovery stress so long and short bias are not driven by a simple moving average cross. 3. Momentum confirmation A centered adaptive stochastic spread must align with the directional side. This prevents entries based on trend context alone. 4. Value-location filter The strategy requires price to be properly aligned with percentile-derived value rails before entries are allowed. This helps avoid chasing direction in poor location. 5. Structured risk management Every position uses: ATR stop loss ATR take profit Adaptive trailing behavior once price extends far enough Context exits when regime or momentum deteriorates Features Multi-layer entry filter: Regime, bias, momentum, and value must agree Bar-close confirmation: Entries are evaluated using confirmed-bar logic ATR stop loss and take profit: Risk is defined from volatility, not fixed ticks Adaptive exit behavior: Bias band can tighten once the move extends No higher-timeframe dependency: Uses current-timeframe calculations only Institutional dashboard: Shows exposure state, regime, momentum, bias band, and value rails Non-repainting framework: No future references and no lookahead logic Input Parameters Regime Layer: Return Lookback Volatility Lookback Efficiency Length Regime Learning Trend Gate Directional Bias: ATR Length ATR Base Multiplier Avoidance Expansion Recovery Pull Noise Threshold ATR Momentum Layer: Stochastic Length Stochastic Smoothing Price Presmoothing Adaptive Attenuation Momentum Spread Gate Value Layer: Value Lookback Lower Rail Percentile Upper Rail Percentile Rail Smoothing Risk Layer: Stop ATR Take Profit ATR Trail Activation ATR Trail Buffer ATR How to Use This Strategy Step 1: Read the regime The strategy only acts when the directional regime is confirmed. If the regime is rotational, it stands down. Step 2: Confirm directional bias The ATR bias band must agree with the side of the trade. This avoids taking long momentum setups under bearish structure or the reverse. Step 3: Check momentum and value together Momentum must align with the side and price must be operating in the correct value location. Both filters are required. Step 4: Review risk settings before use Stop and target multiples should be adjusted to the market and timeframe being tested. The defaults are intended to be realistic rather than aggressively optimized. Strategy Limitations No strategy can eliminate false regime transitions or rapid reversals Percentile value rails adapt to the sample window and may lag sudden structural changes The strategy is designed for realism and context alignment, not maximum trade frequency Originality Statement Concordance Allocation Strategy is original in how it requires regime confirmation, directional bias, momentum agreement, and value-location agreement before allowing entries. It is published because: The strategy avoids isolated indicator triggers and instead uses a layered confirmation model Its risk logic combines fixed ATR objectives with adaptive context exits The design is intentionally current-timeframe, bar-close confirmed, and non-repainting Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice, and backtest results do not guarantee future performance. Trading involves risk of loss, and any strategy can underperform or fail in changing market conditions. Always evaluate settings carefully and use proper risk management.

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của officialjackofalltrades

Volatility Covenant Ribbon [JOAT]Volatility Covenant Ribbon Introduction Volatility Covenant Ribbon is an open-source volatility-state overlay that measures expansion, compression, and directional persistence using ATR percentile behavior, directional range separation, layered ribbon bands, event boxes, and an optional TP/SL scaffold when a fresh volatility expansion confirms. The script is designed to answer whether the market is compressing, expanding, or expanding in a directional way. Many overlays show ATR or band width, but they do not separate directional expansion from neutral turbulence. Volatility Covenant Ribbon addresses that by combining percentile context with directional imbalance and basis location. Core Concepts 1. ATR Percentile ATR is compared against its own rolling history to determine whether the market is relatively compressed, neutral, or expanded. 2. Directional Range Separation Bullish and bearish candle ranges are smoothed separately. Their imbalance helps distinguish upside expansion from downside expansion. 3. Layered Volatility Ribbon Inner, middle, and outer ATR-based layers are rendered around a central basis to give the chart a volatility structure instead of a single line. 4. Event Boxes Expansion and compression states are also visualized with forward boxes so the chart keeps a persistent visual record of the current volatility regime. 5. Volatility Scaffold When a fresh expansion state confirms, the script can draw an informational TP/SL ladder based on ATR-defined risk distance. Features ATR percentile engine: Relative volatility classification from rolling ATR history Directional range imbalance: Distinguishes bullish and bearish expansion pressure Layered ribbon system: Inner, middle, and outer ribbons around the basis Expansion and compression states: Separate confirmed conditions instead of one generic volatility reading State boxes: Event-driven boxes for active expansion or compression Optional TP/SL scaffold: Informational rails for fresh expansion phases Top-right dashboard: Shows state, ATR percentile, volatility condition, basis location, direction, score, ATR, and scaffold status How to Use This Indicator Step 1: Check whether ATR is in expansion, compression, or neutral territory. Step 2: Read directional imbalance. This helps distinguish bullish expansion from bearish expansion. Step 3: Use the ribbon as context for whether price is extending with or against volatility pressure. Step 4: Treat fresh expansion scaffolds as planning tools, not as certainty. Indicator Limitations ATR percentile depends on the selected lookback and can vary across instruments Directional range separation is a price-derived estimate, not a true order-flow measurement Compression can persist longer than expected in slow markets The TP/SL ladder is informational and does not place orders Originality Statement Volatility Covenant Ribbon is original in the way it merges relative ATR behavior, directional range imbalance, layered ribbon architecture, event boxes, and execution-style scaffolding into one open-source volatility overlay. It is intended as a volatility context tool rather than a standalone signal generator. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Volatility regimes can shift rapidly and may not lead to directional follow-through. Always use proper risk management and independent analysis. -Made with passion by jackofalltrades

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của officialjackofalltrades

Pymander's EZ Regime Filter Pymander's EZ Regime Filter—your new best friend for staying on the right side of the market without overthinking it! We all know the feeling of getting "chopped up" in a sideways market or entering a trade only to realize you're fighting a massive trend on the higher timeframes. This tool is designed to fix exactly that. Here’s the breakdown of how it helps you find those "sweet spot" setups: The "EZ" Engine: It uses a Zero-Lag EMA paired with a volatility filter. This means it stays glued to the price action but filters out the random noise that usually triggers fakeouts. Total Alignment: The script looks at 5 different timeframes simultaneously and gives you a weighted "Regime Score." If the higher timeframes are bearish but your chart looks bullish, the filter stays neutral to keep you out of trouble. Visual Clarity: With the built-in EMA Cloud (50/200) and the real-time MTF Dashboard, you can see the market's health at a single glance. No more clicking through every tab to see what the 1-hour or Daily charts are doing. Smart Signals: When the price, the volatility bands, and the multi-timeframe score all line up, you get an "EZ" signal on your chart. It's all about trading with the wind at your back! We’d love to hear how this fits into your strategy! Grab it, play around with the settings, and give us your feedback so we can keep making it better. Wishing you the best of luck on the charts and many green trades ahead! -Pymander

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Anchored Regression Oracle [JOAT]Anchored Regression Oracle Introduction Linear regression is one of the most powerful tools in statistical analysis, yet its application in most trading indicators is limited to a fixed rolling window applied to closing prices — a single-dimensional view of a multi-dimensional problem. The Anchored Regression Oracle extends classical Ordinary Least Squares regression in four distinct ways: it supports both logarithmic and linear price scaling, it offers multiple anchor modes (fixed bar count or calendar-period anchoring), it computes a full set of deviation, Fibonacci, and extreme projection levels above and below the regression line, and it incorporates the Pearson R correlation coefficient and theta angle as real-time quality metrics that control signal eligibility. The fundamental insight motivating the log/linear duality is that financial prices grow multiplicatively, not additively. A $10 move from $100 is a 10% change; a $10 move from $1000 is a 1% change. Fitting a straight line through raw prices on a linear scale treats these as equivalent. Fitting through log-transformed prices treats them as proportionally equivalent — and for equities, cryptocurrencies, and other compounding instruments, the log-space regression is often the more meaningful representation of trend. The indicator handles both cases transparently, transforming all calculation into log space when selected and back-transforming all output levels to price space for display. The calendar anchoring system adds a dimension that pure bar-count indicators cannot provide: the ability to reset and recalculate the regression window at the start of each new trading day, week, month, or other period — automatically. This makes the regression channel contextually anchored to the current period's price action rather than an arbitrary historical bar count, without any manual intervention. Core Concepts 1. Manual OLS Linear Regression The indicator implements the full Ordinary Least Squares regression formula manually rather than using Pine Script's built-in ta.linreg(). This is a deliberate choice: the manual implementation supports both logarithmic transformation and expanding anchor windows, neither of which the built-in function accommodates. The calculation accumulates bar-level sums across the current window to derive the exact OLS slope and intercept. slope = (n * sumXY - sumX * sumY) / (n * sumXX - sumX * sumX) intercept = (sumY - slope * sumX) / n lrValue = intercept + slope * n Where n is the current window size, sumXY is the sum of bar-index times price products, sumXX is the sum of squared bar indices, and sumX and sumY are the simple sums of indices and prices respectively. In log mode, all price values entering the sums are first transformed via math.log(), and all output levels are back-transformed via math.exp() before rendering on the chart. 2. Pearson R Correlation Coefficient After computing slope and intercept, the Pearson R coefficient is derived from the same accumulated sums. R measures the linearity of the relationship between bar index and price — essentially, how well the regression line fits the actual price path. Values near 1.0 or -1.0 indicate strong linear trends where the regression line is a reliable representation. Values near 0 indicate that price is moving chaotically relative to a linear model. dxt = sumXX - sumX * sumX / n dyt = sumYY - sumY * sumY / n pearsonR = (sumXY - sumX * sumY / n) / math.sqrt(dxt * dyt) The dashboard displays Pearson R with color coding: teal for |R| ≥ 0.8 (strong fit), orange for |R| ≥ 0.5 (moderate fit), red for |R| below 0.5 (weak fit). When the Pearson filter is enabled, only readings with |R| above the user threshold are eligible for signal generation — preventing trades on regression lines that do not actually describe the price behavior. 3. Theta Angle The slope of the regression line is an abstract mathematical quantity that is not intuitively interpretable. Converting it to a theta angle using the arctangent function produces a human-readable degree value: a steeply rising trend shows a large positive angle, a flat trend shows near-zero degrees, and a declining trend shows a negative angle. The minimum theta filter allows users to exclude signals from very shallow trends — requiring a minimum degree of directional conviction before entries are considered. theta = math.atan(-slope) * 180 / math.pi Note that the negative sign before slope accounts for the inversion between mathematical y-axis convention (upward) and screen y-axis convention (downward in most chart implementations), ensuring the displayed angle intuitively matches the visual slope direction on the chart. 4. Window Modes: Rolling vs. Anchored The "Bar" mode uses a fixed rolling window of N bars — the regression line covers exactly the last N candles regardless of calendar position. All period-based modes ("Minute", "Hour", "Day", "Week", "Month") use an expanding anchor: a bar counter resets to zero each time a new period begins (detected via timeframe.change()), and the regression window expands from that anchor point through the current bar. This means on day anchoring, the regression always describes the current day's price action from the first bar to now — expanding as the day progresses and resetting at the start of each new day. var int windowBars = 0 periodChanged = timeframe.change(targetTF) windowBars := periodChanged ? 1 : windowBars + 1 effectiveLen = windowMode == "Bar" ? barLen : windowBars 5. Deviation and Fibonacci Projection Levels Six lines are drawn on the chart, all updated on barstate.islast to avoid performance overhead. The center line is the regression line itself. The upper and lower deviation lines are offset by user-configurable standard deviation multiples. A Fibonacci level is plotted at 1.618 standard deviations. Historical high and low lines track the maximum deviation point actually reached by price above and below the regression line over the window — providing empirical rather than statistical bounds. f_lvl(base, std, mult) => logMode ? math.exp(math.log(base) + std * mult) : base + std * mult upperDev = f_lvl(lrValue, stdDev, upperMult) lowerDev = f_lvl(lrValue, stdDev, lowerMult) fibLevel = f_lvl(lrValue, stdDev, 1.618) In log mode, the offset is applied additively in log space (equivalent to multiplicative scaling in price space), ensuring the deviation levels remain proportionally consistent with the log-scale price representation. 6. Five Signal Modes The signal system offers five distinct behavioral modes. "None" disables signals entirely. "Deviation|Breakout" fires when price crosses above the upper deviation (long) or below the lower deviation (short). "Deviation|MeanReversion" fires when price crosses back inside the deviation bands after an excursion outside. "Extreme|Breakout" uses the historical high and low deviation lines as the reference. "Extreme|MeanReversion" fires when price returns inside the historical extremes. "Theta-Only" generates signals based solely on the theta angle crossing the minimum threshold, regardless of price position relative to deviation levels. Features Full Manual OLS Regression: Complete Ordinary Least Squares implementation supporting both log and linear price scaling without any ta.linreg() dependency. Log/Linear Scale Toggle: Log mode transforms all prices via math.log before regression and back-transforms all output levels, producing proportionally correct channels for compounding instruments. Multiple Window Modes: Fixed bar count or calendar-anchored expanding windows (Minute, Hour, Day, Week, Month) that reset automatically on period transitions. Pearson R Coefficient: Real-time correlation quality metric with color-coded dashboard display and optional signal eligibility filter. Theta Angle: Human-readable trend angle from arctangent of slope with optional minimum threshold signal filter. Six Regression Lines: Center regression line, upper and lower user-configured deviation bands, 1.618 Fibonacci level, and historical high/low deviation extremes. Five Signal Modes: Deviation breakout, deviation mean-reversion, extreme breakout, extreme mean-reversion, and theta-only — covering different trading philosophies. Historical Ghost Plots: Non-repainting semi-transparent historical regression and deviation plots for visual context of prior channel positions. Efficient Line Updates: All six lines are updated on barstate.islast only, maintaining performance even on long chart histories. Seven-Row Dashboard: Pearson R (color-coded), theta with sign, direction, signal mode, window type, standard deviation, and window size. Four Alert Conditions: Long entry, short entry, long exit, short exit — all gated by optional Pearson and theta filters. Input Parameters Regression Settings: Window Mode: Bar, Minute, Hour, Day, Week, or Month (default: Day) Bar Length: Fixed window size when mode is "Bar" (default: 100) Target Timeframe: Calendar period string used in timeframe.change() for anchored modes (default: "D") Log Mode: Enable logarithmic price transformation (default: false) Deviation Settings: Upper Deviation Multiplier: Standard deviation multiple for upper channel boundary (default: 2.0) Lower Deviation Multiplier: Standard deviation multiple for lower channel boundary (default: 2.0) Show Fibonacci Level: Toggle the 1.618 StdDev Fibonacci projection line (default: true) Show Historical Extremes: Toggle the historical high/low deviation lines (default: true) Signal Settings: Signal Mode: None, Deviation|Breakout, Deviation|MeanReversion, Extreme|Breakout, Extreme|MeanReversion, Theta-Only (default: Deviation|Breakout) Minimum Theta: Minimum absolute angle in degrees required for signal eligibility (default: 5) Pearson Filter: Enable Pearson R minimum threshold (default: false) Min Pearson R: Minimum |R| required when filter is active (default: 0.7) Display Settings: Show Historical Plots: Toggle ghost regression and deviation plots (default: true) Historical Alpha: Transparency level for historical plots (default: 75) Show Dashboard: Toggle the seven-row information table (default: true) How to Use This Indicator Step 1: Select the Appropriate Window Mode Start by choosing the window mode that matches your analytical context. For intraday trading, Day anchoring is most natural — it resets the regression at the start of each session, showing how the current day's price action trends from the open. For swing trading, Week or Month anchoring provides a broader structural perspective. Bar mode is appropriate when you want consistent lookback regardless of calendar, for example in crypto markets that trade continuously without session boundaries. Step 2: Evaluate Regression Quality Before Trusting Signals Check the Pearson R value in the dashboard before interpreting any signal. A strong R (teal, ≥ 0.8) means price has been moving in a well-defined linear trend — the regression line is descriptively accurate and signals from it carry more weight. A weak R (red, < 0.5) means price has been choppy and non-linear; the regression line is fitting noise, and deviation-based signals will be unreliable. If the Pearson filter is enabled, signals will simply not fire when R is below threshold, automating this quality check. Step 3: Choose a Signal Mode Matching Your Strategy Breakout modes are suited for momentum strategies — they enter when price is moving away from the regression mean with statistical force. Mean-reversion modes are suited for range-expansion strategies — they enter when price returns inside the channel after an excursion, betting on a return to mean. The Extreme modes use the actual historical high/low deviations rather than the fixed multiplier, making them adaptive to the specific price behavior observed in the current window. Step 4: Apply Theta and Pearson Filters for Quality Control Enable the minimum theta filter to avoid trading very shallow trends. A trend angled at 3 degrees has minimal directional conviction — the regression line is nearly horizontal, and any deviation signals from it may be as much noise as signal. Setting a minimum of 10-15 degrees for active entries ensures you are trading genuine directional moves rather than sideways grinding. Combine this with the Pearson filter for the highest-quality signal subset. Indicator Limitations Linear regression assumes the relationship between time and price is fundamentally linear during the window. In strongly trending markets this is approximately true; in markets with curves, accelerating trends, or parabolic moves, the linear model will systematically underfit the actual trajectory. The OLS calculation accumulates sums over the entire window on every bar. On very long bar counts or in expanding anchor modes late in a long session, this can affect script execution time, particularly when combined with other indicators on the same chart. Calendar anchoring uses timeframe.change() which is resolution-dependent. If the chart timeframe is coarser than the anchor period (e.g., viewing a weekly chart with day anchoring), the anchor period may not transition as expected. Pearson R measures linear correlation specifically. A price series that follows a consistent curve will produce a lower R than one that follows a straight line, even if the curve describes a very orderly trend. In log mode, this issue is partially mitigated for exponentially trending instruments. Historical ghost plots are informational only and represent completed regression windows. They do not update after their respective periods close. In log mode, the volatility measure used for deviation computation is the standard deviation of log-transformed prices, which is equivalent to a percentage standard deviation. For very short windows, this measure can be highly sensitive to individual bar outliers. Signals on the current (incomplete) bar are not displayed, as all signal conditions require barstate.isconfirmed to prevent look-ahead. Originality Statement The Anchored Regression Oracle is a substantially original analytical tool that addresses specific limitations of existing regression-based indicators on TradingView. The manual OLS implementation (computing slope, intercept, and Pearson R from accumulated sums without ta.linreg()) enables the log-space calculation that built-in functions do not support — allowing mathematically correct regression channels for compounding assets. The calendar-anchored expanding window system (using timeframe.change() to reset a bar counter and grow the regression window from a fixed calendar point) is an original approach to making regression contextually meaningful for session-based or period-based analysis. Computing and displaying the theta angle (arctangent of slope in degrees) as a real-time trend steepness metric, with a configurable minimum threshold that gates signal eligibility, is an original signal quality framework not found in standard regression channel indicators. The five-mode signal system — providing breakout and mean-reversion variants for both statistical deviation levels and empirical historical extremes, plus a theta-only mode — covers a range of trading philosophies from a single indicator, rather than requiring separate indicators for each approach. The combination of log/linear duality, calendar anchoring, Pearson quality gating, theta filtering, Fibonacci projection at 1.618 StdDev, and historical ghost plots in a single indicator represents an integration of features not available in any single existing TradingView regression tool. Disclaimer The Anchored Regression Oracle is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Statistical measures such as Pearson R and regression slope describe historical relationships and do not predict future price behavior. All trading involves risk of loss. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity. -Made with passion by officialjackofalltrades

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của officialjackofalltrades

Realtime Non-Repaint Path Name: 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.

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của AceInfinity

Trend-o-Meter Trend-O-Meter: Smart Fractal Power Balance Indicator Fractal-based trend strength meter showing real-time bull/bear power.

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StO Price Action - Luminous Daily Roadmap Short Summary - Luminous Daily Roadmap (LDR) are special trading days - Marks entire trading days using background coloring - Creates a clear daily roadmap directly on the chart - Designed to stay minimal and non-intrusive Full Description Overview - LDR is a proprietary forex trading schedule - Dates of major trend reversals or significant market continuations - Highlights full trading days using background colors - Improves visual structure and day-to-day orientation - Focuses purely on time segmentation, not price signals - Suitable for all markets and timeframes Daily Marking Logic - Each trading day is visually marked across all its bars - Background coloring spans the full session of the day - Works consistently across intraday and higher timeframes Year Look Back (YLB) - YLB defines the starting year for day marking - Markings are only applied from the selected year onward - Allows focused analysis on recent or specific years Visualization - Background color is fully customizable - Uses high transparency to avoid hiding price action Usage - Useful for session-based and daily analysis - Supports routine-based trading and journaling - Enhances visual rhythm of the chart Notes - This indicator is purely visual and non-predictive - No alerts or signals are generated - Best used as a structural overlay for orientation - Can be combined with any price action or indicator-based workflow

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Direction via Zone Break [by rukich]🟠 OVERVIEW The indicator shows the direction of movement and zones: SSL, BSL, FVG. Zones serve as support/resistance and as validation/invalidation of a movement reversal. 🟠 COMPONENTS The direction of movement is built based on a three-candle swing high (BSL) and swing low (SSL) pattern. If swing high (BSL) and swing low (SSL) are formed, and then an internal swing high/low is formed (depending on the direction of movement), then in case the initial movement continues — for example, in an upward movement — the new swing low (SSL) will be the minimum before the update, i.e., the internal low, while the swing high (BSL) will be formed according to the three-candle pattern. A change of direction is considered when a candle closes beyond the key swing high/low (BSL/SSL), depending on the direction of movement. For example, in an upward movement, a break occurs when a candle closes beyond the swing low (SSL). After that, the swing high (BSL) will be the nearest fractal (swing high), and the swing low (SSL) will be formed according to the three-candle pattern. All the above logic also applies to downward movements. Within each movement, there can be FVG zones, which can act as support/resistance or indicate weakness in the movement direction. Note: if the movement is upward, only bullish FVG+ will be displayed; if the movement is downward, only bearish FVG- will be displayed. Weakness of movement direction. For example, consider an upward impulse with the nearest FVG+ zone. If the price closes beyond the lower boundary of the zone, it will be considered invalidated (inv. FVG-), which in turn indicates weakness in the movement direction and a possible local short, which may subsequently lead to a break of the entire movement. 🟠 HOW TO USE There are only two visual settings in the configuration: Show previous SSL/BSL – enables/disables the display of all previous SSL/BSL zones Show Bullish/Bearish trend – enables/disables background shading between SSL and BSL for visual understanding of the movement direction On the chart, the following are displayed: Labels with current SSL/BSL FVG+- / inv. FVG+- zones, for trading in the movement direction In case the nearest FVG is invalidated, a label will appear with the text: Weak bullish/bearish & local short/long (this is not a signal, but only indicates the probability of a potential move based on the weakness of the nearest zone) 🟠 CONCLUSION The indicator helps determine the current movement with zones for trading in the direction, and also indicates movement weakness through invalidation of the nearest zones.

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Markov 3D Trend Analyzer Markov 3D Trend Analyzer 🔹 What Is a Markov State? A Markov chain models systems as states with probabilities of transitioning from one state to another. The key property is memorylessness: the next state depends only on the current state, not the full past history. In financial markets, this allows us to study how conditions tend to persist or flip — for example, whether a green candle is more likely to be followed by another green or by a red. 🔹 How This Indicator Uses It The Markov 3D Trend Analyzer tracks three independent Markov chains: Direction Chain (short-term): Probability that a green/red candle continues or reverses. Volatility Chain (mid-term): Probability of volatility staying Low/Medium/High or transitioning between them. Momentum Chain (structural): Probability of momentum (Bullish, Neutral, Bearish) persisting or flipping. Each chain is updated dynamically using exponentially weighted probabilities (EMA), which balance the law of large numbers (stability) with adaptivity to new market conditions. The indicator then classifies each chain’s dominant state and combines them into an actionable summary at the bottom of the table (e.g. “📈 Bullish breakout,” “⚠️ Choppy bearish fakeouts,” “⏳ Trend squeeze / possible reversal”). 🔹 Settings Direction Lookback / Volatility Lookback / Momentum Lookback Control the rolling window length (sample size) for each chain. Larger = smoother but slower to adapt. EMA Weight Adjusts how much weight is given to recent transitions vs. older history. Lower values adapt faster, higher values stabilize. Table Position Choose where the table is displayed on your chart. Table Size Adjust the font size for readability. 🔹 How To Consider Using Contextual tool: Use the summary row to understand the current market condition (trending, mean-reverting, expanding, compressing, continuation, fakeout risk). Complementary filter: Combine with your existing strategies to confirm or filter signals. For example: 📈 If your breakout strategy fires and the summary says Bullish breakout, that’s confirmation. ⚠️ If it says Choppy fakeouts, be cautious of traps. Visualization aid: The table lets you see how probabilities shift across direction, volatility, and momentum simultaneously. ⚠️ This indicator is not a signal generator. It is designed to help interpret market states probabilistically. Always use in conjunction with broader analysis and risk management. 🔹 Disclaimer This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security, cryptocurrency, or instrument. Trading involves risk, and past probabilities or behaviors do not guarantee future outcomes. Always conduct your own research and use proper risk management.

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Enigma Sniper 369 The "Enigma Sniper 369" is a custom-built Pine Script indicator designed for TradingView, tailored specifically for forex traders seeking high-probability entries during high-volatility market sessions. Unlike generic trend-following or scalping tools, this indicator uniquely combines session-based "kill zones" (London and US sessions), momentum-based candle analysis, and an optional EMA trend filter to pinpoint liquidity grabs and reversal opportunities. Its originality lies in its focus on liquidity hunting—identifying levels where stop losses are likely clustered (around swing highs/lows and wick midpoints)—and providing visual entry zones that are dynamically removed once price breaches them, reducing clutter and focusing on actionable signals. The name "369" reflects the structured approach of three key components (session timing, candle logic, and trend filter) working in harmony to snipe precise entries. What It Does "Enigma Sniper 369" identifies potential buy and sell opportunities by drawing two types of horizontal lines on the chart during user-defined London and US session kill zones: Solid Lines: Mark the swing low (for buys) or swing high (for sells) of a trigger candle, indicating a potential entry point where stop losses might be clustered. Dotted Lines: Mark the 50% level of the candle’s wick (lower wick for buys, upper wick for sells), serving as a secondary confirmation zone for entries or tighter stop-loss placement. These lines are plotted only when specific candle conditions are met within the kill zones, and they are automatically deleted once the price crosses them, signaling that the liquidity at that level has likely been grabbed. The indicator also includes an optional EMA filter to ensure trades align with the broader trend, reducing false signals in choppy markets. How It Works The indicator’s logic is built on a multi-layered approach: Kill Zone Timing: Trades are only considered during user-defined London and US session hours (e.g., London from 02:00 to 12:00 UTC, as seen in the screenshots). These sessions are known for high volatility and liquidity, making them ideal for capturing institutional moves. Candle-Based Momentum Logic: Buy Signal: A candle must close above its midpoint (indicating bullish momentum) and have a lower low than the previous candle (suggesting a potential liquidity grab below the previous swing low). This is expressed as close > (high + low) / 2 and low < low . Sell Signal: A candle must close below its midpoint (bearish momentum) and have a higher high than the previous candle (indicating a potential liquidity grab above the previous swing high), expressed as close < (high + low) / 2 and high > high . These conditions ensure the indicator targets candles that break recent structure to hunt stop losses while showing directional momentum. Optional EMA Filter: A 50-period EMA (customizable) can be enabled to filter signals based on trend direction. Buy signals are only generated if the EMA is trending upward (ema_value > ema_value ), and sell signals require a downward EMA trend (ema_value < ema_value ). This reduces noise by aligning entries with the broader market trend. Liquidity Levels and Deletion Logic: For a buy signal, a solid green line is drawn at the candle’s low, and a dotted green line at the 50% level of the lower wick (from the candle body’s bottom to the low). For a sell signal, a solid red line is drawn at the candle’s high, and a dotted red line at the 50% level of the upper wick (from the body’s top to the high). These lines extend to the right until the price crosses them, at which point they are deleted, indicating the liquidity at that level has been taken (e.g., stop losses triggered). Alerts: The indicator includes alert conditions for buy and sell signals, notifying traders when a new setup is identified. Underlying Concepts The indicator is grounded in the concept of liquidity hunting, a strategy often employed by institutional traders. Markets frequently move to levels where stop losses are clustered—typically just beyond swing highs or lows—before reversing in the opposite direction. The "Enigma Sniper 369" targets these moves by identifying candles that break structure (e.g., a lower low or higher high) during high-volatility sessions, suggesting a potential sweep of stop losses. The 50% wick level acts as a secondary confirmation, as this midpoint often represents a zone where tighter stop losses are placed by retail traders. The optional EMA filter adds a trend-following element, ensuring entries are taken in the direction of the broader market momentum, which is particularly useful on lower timeframes like the 15-minute chart shown in the screenshots. How to Use It Here’s a step-by-step guide based on the provided usage example on the GBP/USD 15-minute chart: Setup the Indicator: Add "Enigma Sniper 369" to your TradingView chart. Adjust the London and US session hours to match your timezone (e.g., London from 02:00 to 12:00 UTC, US from 13:00 to 22:00 UTC). Customize the EMA period (default 50) and line styles/colors if desired. Identify Kill Zones: The indicator highlights the London session in light green and the US session in light purple, as seen in the screenshots. Focus on these periods for signals, as they are the most volatile and likely to produce liquidity grabs. Wait for a Signal: Look for solid and dotted lines to appear during the kill zones: Buy Setup: A solid green line at the swing low and a dotted green line at the 50% lower wick level indicate a potential buy. This suggests the market may have grabbed liquidity below the swing low and is now poised to move higher. Sell Setup: A solid red line at the swing high and a dotted red line at the 50% upper wick level indicate a potential sell, suggesting liquidity was taken above the swing high. Place Your Trade: For a buy, set a buy limit order at the dotted green line (50% wick level), as this is a more conservative entry point. Place your stop loss just below the solid green line (swing low) to cover the full swing. For example, in the screenshots, the market retraces to the dotted line at 1.32980 after a liquidity grab below the swing low, triggering a buy limit order. For a sell, set a sell limit order at the dotted red line, with a stop loss just above the solid red line. Monitor Price Action: Once the price crosses a line, it is deleted, indicating the liquidity at that level has been taken. In the screenshots, after the buy limit is triggered, the market moves higher, confirming the setup. The caption notes, “The market returns and tags us in long with a buy limit,” highlighting this retracement strategy. Additional Context: Use the indicator to identify liquidity levels that may be targeted later. For example, the screenshot notes, “If a new session is about to open I will wait for the grab liquidity to go long,” showing how the indicator can be used to anticipate future moves at session opens (e.g., London open at 1.32980). Risk Management: Always set a stop loss below the swing low (for buys) or above the swing high (for sells) to protect against adverse moves. The 50% wick level helps tighten entries, improving the risk-reward ratio. Practical Example On the GBP/USD 15-minute chart, during the London session (02:00 UTC), the indicator identifies a buy setup with a solid green line at 1.32901 (swing low) and a dotted green line at 1.32980 (50% wick level). The market initially dips below the swing low, grabbing liquidity, then retraces to the dotted line, triggering a buy limit order. The price subsequently rises to 1.33404, yielding a profitable trade. The user notes, “The logic is in the last candle it provides new level to go long,” emphasizing the indicator’s ability to identify fresh levels after a liquidity sweep. Customization Tips Adjust the EMA period to suit your timeframe (e.g., a shorter period like 20 for faster signals on lower timeframes). Modify the session hours to align with your broker’s timezone or specific market conditions. Use the alert feature to get notified of new setups without constantly monitoring the chart. Why It’s Useful for Traders The "Enigma Sniper 369" stands out by combining session timing, momentum-based candle analysis, and liquidity hunting into a single tool. It provides clear, actionable levels for entries and stop losses, removes invalid signals dynamically, and aligns trades with high-probability market conditions. Whether you’re a scalper looking for quick moves during London open or a swing trader targeting session-based reversals, this indicator offers a structured, data-driven approach to trading.

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của Niko-picasso369

RSI Confirm Trend with Williams (W%R)RSI Confirm Trend with Williams (W%R) This is the "RSI Confirm Trend with Williams (W%R)" indicator This is a modification of the "RSI Trends" indicator by zzzcrypto123. What Is the Relative Strength Index (RSI)? The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. What is Williams %R? Williams %R, also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods. How Does "RSI Confirm Trend with Williams (W%R)" work? This indicator combines the momentum of both RSI and Williams %R by adding upper and lower thresholds. When the thresholds are broken, this indicator changes color from gray to either green or red. What Are The Thresholds? The default RSI thresholds are 55 and 45. These values are configurable. The default Williams %R thresholds are 80 and 20. These values are configurable and made positive so it can be plotted against the RSI line. How To Use? When the RSI exceeded the upper/lower thresholds, the RSI line color will change from gray to lighter green/red color. When the Williams %R exceeded the upper/lower thresholds, the RSI color will change to darker green/red color signifying a strong momentum in that direction. When the RSI color is gray, this means the RSI and Williams %R thresholds are not broken which can also signify as no trend or consolidation. The Williams %R line is not displayed by default but can be enabled using the checkbox provided in the Style tab. This "RSI Confirm Trend with Williams (W%R)" indicator can be combined with other technical indicators to verify the idea behind this theory. ----------------- Disclaimer The information contained in this indicator does not constitute any financial advice or a solicitation to buy or sell any securities of any type. My scripts/indicators/ideas are for educational purposes only!

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MA Slope [EMA Magic]█ Overview: The MA Slope calculates the slope based on a given moving average. The Moving Average Slope indicator allows you to identify the direction and the strength of a trend. It calculates the rate of change in percentage based on the user-defined moving average. █ Calculation: This indicator calculates the slope based on the changes of moving average and normalizes it with Average True Range(ATR). The default value of ATR is 7.I recommend not changing it unless you know exactly what are you doing. █ Input Settings: The settings are divided into three sections: The first section is for time frame adjustments. Modify it separately from the chart, Allows you to use moving averages from different time frames. In the second section, you can configure the base calculation,including Moving Average and Average True Range(ATR) settings. In the third section, you can detect breakout and sudden change signals, which are highlighted in the background of the indicator. Note that When you change the breakout limit value, it also affects the band limit indicator on your chart. To avoid signal confusion, use only one at a time. Here is the example the breakout signals: █ Usage: When the slope is increasing, it indicates an uptrend. When the slope is decreasing, it indicates a downtrend. When the slope is moving around zero and choppy, it indicates no specific trend or price is in a range zone. Uptrend and Range Zone example: Downtrend example: Slope peaks on extreme levels can signal a potential trend reversal point. Breakout of the upper or lower bands can be translated into a trading signal.Indicating that price will probably continue to move in the direction of the breakout. Favor long setups when the slope is increasing or it is positive and favor short setups when the slope is decreasing or it is negative. Fits with any moving average you use, e.g., EMA, WMA, MA Ribbon, and more. █ Alert Alerts are available for both signal conditions. █ Recap Take the time to study price movements alongside this indicator for a deeper understanding.Whether you're a novice or experienced trader, this indicator can come helpful

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của KiomarsRakei

Sizeblock Price change indicator in the form of diagonal rows. The calculation is based on the percentage or tick deviation of the price movement (indicated in the "Deviation" parameter), which is displayed on the chart in the form of rows. The row consists of the base middle line, upper and lower limits: The middle line is the basis for the upper and lower limits of the current row. The upper and lower limits are deviations from the base middle line of the current row. The base middle line is equal to the upper or lower limits of the previous row (if the price changes rapidly in one time interval, then the base middle line of the current row is greater than the upper limit of the previous row or less than the lower limit of the previous row by an equal number of deviations depending on the direction of price movement). At the beginning of the calculation, the base middle line is equal to the initial value of the first row. The "Quantity" parameter determines the deviation for the upper or lower limits depending on the direction of the price movement, and the "U-turn" parameter determines the deviation for changing the direction of the price movement. The rule for constructing a new row: The "Source" parameter accepts, depending on the choice, the price of high, low values or the closing price from the time interval of the chart. When the price reaches the upper or lower limits of the row and goes beyond them, a new row is formed with the same parameters for deviation of the upper and lower limits from the base middle line, depending on the direction of price movement. By adjusting certain deviations, you can clearly see the local trend and reversal points on the chart. A useful tool for tracking price direction. Thanks for your attention!

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của StCogitans

ADX Trend Filter ADX Trend Filter Indicator is a traditional ADX indicator with a different presentation. its consist of two indicators EMA TREND and ADX / DMI About Indicator: 1. BAND / EMA band to represent EMA Trend of EMA-12 and EMA-50 (Band is plotted at level-20 which is the Threshold level of DMI / ADX indicator) 2. Histogram showing the direction of ADX / DMI trend 3. Area behind the histogram showing ADX/DMI strength How to use? 1. Histogram represents current Trend Red for Bearish / Green for Bullish 2. Area behind the histogram represents Strength of ADX / DMI Threshold level is 0-20(represented as band). (Area below the Band is Sideways) 3. Band represents the current MA Trend. 4. Buy Sell signals are plotted as triangles in red/green obtained from ADX / DMI Crossovers Buy Signal (Green Triangle on band- ADX Crossover) 1.Band below Histogram must be Green 2.Histogram must be green 3.Area behind histogram must be above the lower trend band (20level) and visible Sell Signal (Red Triangle on band- ADX Crossover) 1.Band below Histogram must be Red 2.Histogram must be Red 3.Area behind histogram must be above the lower trend band (20level) and visible Alerts provided for ADX crossovers.

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của traderharikrishna

SAR MACD SAR MACD is an idea of implementing Directional MACD with Parabolic SAR to exactly detect and confirm Trend. This p-SAR MACD consist of a HYBRID MACD which acts as MACD TREND oscillator, MACD Oscillator, PSAR Indicator combined with MA line. thus Fake MACD Signals can be eliminated using this SAR MACD. Sideways can be detected using Threshold Levels must be adjusted based on timeframe. Indicators Hybrid model contains: 1.MACD (12,26,9) Standard with MA Crossovers 2.MACD Trend 3.Parabolic SAR with 0.02 4.Threshold level - indicates Sideways How to use. Histogram: -> HIST MODE: normal MACD indicator MA Line Color is based on PSAR Direction Blue-Up/ Pink -Down A crossover upside with a Blue MA line denotes Up confirmation A Crossover downwards with a red MA line denotes Down Confirmation Additionally Histogram above zero line and below zero line are to be confirmed -> MACD MODE: MACD Trend indicator MA Line Color is based on PSAR Direction Blue-Up/ Pink -Down A crossover upside with a Blue MA line denotes Up confirmation A Crossover downwards with a red MA line denotes Down Confirmation Additionally Histogram above zero line and below zero denotes long term Trend -> Histogram Color: Indicates candles direction Yellow indicates Unconfirmed Direction Green Indicates up direction Red Indicates Down Direction Buy Condition: MA Color - Blue Histogram- Above Zero Histogram/Candle -Green MA Crossover is must Sell Condition: MA Color - Red Histogram- Below Zero Histogram/Candle -Red MA Cross under is must Warning: Must not be used as a standalone indicator. Use for confirmation of your Buy Sell Signals and Entry only.

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của traderharikrishna

Trend crossier Hello there! I would like to share my script. This is S/R levels indicator based on custom range for each step used for computing minimum/maximum of the range. For example - we predefined step with 50 candles as one, after we have got the minimum and maximum of it - we come to the next 50 candles and do the same to it. Finaly - we have got 20 lines for 10 steps. After that - we set the ( SMA * mult) to have step between lines and if N of lines in range of step from eachother(if a+step > b and b+step > c ...) we call it a strong level. It is not my idea(but my code), so I do not claim the uniqueness of this idea (the customer asked me to code it, but I also read about this method in open sources before). The second thing - vectors of current trend direction on different timeframes. For this task I took the same ranges, but ema () of each range. After first step it has an array with N values. The next thing it does is take out "chain" one by one on each iteration. How does it do that? We take new AVG with neighbor values. If we have 10 length at start - after iteration it becomes 9. So it repeats computing till length is 2. After we have 2 points left - we can plot the line using indexes. This way we can see the trend direction on different timeframes. Feel free to use, change, put into another scripts. You can even never use it! The right to publish this particular code was issued by the customer. Have fun!

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