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Institutional RSI Decision EngineInstitutional RSI Decision Engine (IRDE) The Institutional RSI Decision Engine (IRDE) is a decision-support indicator, not a trading strategy and not a signal generator.It is designed to help discretionary traders assess market readiness, pressure dynamics, and contextual alignment before considering execution.This tool does not predict price, place trades, or provide buy/sell signals. 🔍 What IRDE Evaluates IRDE combines multiple institutional-style filters to classify the quality of the current market environment: • RSI Pressure Exhaustion Uses a multi-speed RSI ensemble (5 / 9 / 14) to measure exhaustion strength, not single overbought/oversold signals. • Pressure State Identifies whether pressure is BUILDING, FADING, or NEUTRAL to avoid late reactions. • Trend Context Validates exhaustion direction using EMA-based structural alignment. • Institutional Location Checks proximity to: Daily High Daily Low VWAP using ATR-based tolerance. • Volatility Regime Classifies market conditions as ACTIVE, NORMAL, or DEAD using ATR expansion/contraction. • Higher-Timeframe Confirmation Re-evaluates the same RSI pressure logic on a user-defined higher timeframe. 🧩 Readiness vs Signals (Important) IRDE does NOT generate entries. Instead, it answers questions such as: Is the market structurally prepared? Is exhaustion pressure meaningful or weak? Is price reacting at a relevant location? Is volatility supportive or suppressive? READY dots indicate structural preparedness only — not trade entries. 📊 Setup Quality Scoring IRDE produces a Setup Quality Score (A / B / C) based on: Pressure strength Trend alignment Location validity HTF alignment Volatility regime Pressure behavior (building vs fading) This score represents contextual quality, not probability. 🖥️ User Interface The on-chart table provides full transparency, displaying: RSI pressure and direction HTF alignment Volatility regime Setup grade and score Reasoning behind the grade Market readiness state A compact UI mode is included for cleaner charts. ⚠️ Important Disclaimers • This is not a trading strategy • This script does not place trades • READY conditions are not entry signals • No indicator guarantees profitability • Always apply independent risk management Designed for traders who understand market structure and discretionary execution.
Pine Script® 인디케이터
Market_Logic_India의
Bollinger Bands - ALMA EditionBollinger Bands with Crossing Markers - A Small Simple Indicator as a Small Lightweight Supplement. Green and red markers appear when the price breaks through the top and bottom of the bands, indicating weakening trend momentum and a possible correction or the beginning of a downtrend/uptrend. The BBand is excellent as the FIRST signal of weakening trends – it usually appears right after reaching extremes, i.e., after reaching the bottom or top of the local structure.
Pine Script® 인디케이터
Zomzi의
DA Orbital Cannon [ATR Zones]Дядь, я тебя услышал. 🚬 Ты смотришь на этих трейдеров и думаешь: _"Какого хрена они сделали одну кнопку 'Бабло', а мы тут строим космический корабль?"_ Я просканировал их документацию. Расслабься. Они не изобрели велосипед. Они просто **упаковали волатильность в коробку**. Давай я разберу их "магию" на атомы, чтобы ты понял, как они нас "сделали", и мы соберем свой аналог, только злее. --- ### 💀 РАЗБОР ПОЛЕТОВ: ЧТО ОНИ ЗНАЮТ (DECONSTRUCTION) Вся их система держится на **ОДНОЙ** гениальной пропорции, которую они прячут за красивым интерфейсом. **1. "Первый час решает всё" (Opening Range)** Они берут старт сессии (например, 09:00-10:00) и строят коробку High/Low. - **Их логика:** То, как рынок открылся, диктует, как он закроется. **2. "Секретный соус" — ATR RATION (Коэффициент Сжатия)** Вот где собака зарыта. Они делят высоту этой утренней коробки (Range) на средний дневной ход (ATR D1). - **LOW IB (Tight / Сжатие):** Если утренняя коробка меньше **27%** от дневного ATR. - _Перевод:_ "Пружина сжата". Энергия накоплена. Жди мощного выстрела (Breakout). - **HIGH IB (Wide / Истощение):** Если утренняя коробка больше **60%** от дневного ATR. - _Перевод:_ "Пар выпущен". Рынок уже пробежал марафон за первый час. Дальше будет пила, откат или боковик. Ждать тренда глупо. **3. "Где тейки?" (ATR Targets)** Они не гадают. Они тупо прибавляют остаток дневного ATR к текущей цене. Если рынок обычно ходит 100 пунктов, а прошел 30, значит, осталось 70. Всё. Чистая математика. --- ### 🛠 ПОЧЕМУ МЫ "Е***ИСЬ" С ДРУГИМИ ИНДИКАТОРАМИ? Дядь, не обесценивай наш труд. - **Hurst/Flux/Imbalance** отвечают на вопрос **"КУДА?"** (Тренд или разворот?). - **Этот OR Radar** отвечает на вопрос **"ДОКУДА?"** (Где границы дня?). Нам нужен этот Радар, чтобы наложить его СВЕРХУ на нашу систему. Это будет **Сетка Прицеливания**. --- ### Я переписал их логику. Никаких "защищенных скриптов". Всё открыто, всё твое. Я добавил то, чего у них нет: **Цветовую кодировку "Скороварки"**. - Если коробка узкая — она будет гореть **ЯРКО-СИНИМ** (Жди пробоя). - Если коробка широкая — она будет **ТЕМНО-КРАСНОЙ** (Не лезь, опасно). Копируй и ставь на график. Pine Script ``` // This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © Dark_Architect_Protocol based on "OR Radar" logic // "One Indicator to Rule Them All" //@version=5 indicator("DA Orbital Cannon ", overlay=true) // --- --- group_time = "Session Settings" sess_input = input.session("0900-1000", "Opening Range (Час Зарядки)", group=group_time) // use_local = input.bool(true, "Использовать время биржи?", group=group_time) group_physics = "ATR Physics" atr_len = input.int(14, "ATR Period (D1)", group=group_physics) // threshold_tight = input.float(0.27, "Tight Threshold (Low IB)", step=0.01, group=group_physics) // threshold_wide = input.float(0.60, "Wide Threshold (High IB)", step=0.01, group=group_physics) // // --- --- // Берем Дневной ATR, даже если мы на 5-минутке. Это наш бенчмарк. daily_atr = request.security(syminfo.tickerid, "D", ta.atr(atr_len)) // // Логика сессии t = time(timeframe.period, sess_input) is_sess = not na(t) new_sess = is_sess and not is_sess // --- --- // Переменные для хранения High/Low сессии var float or_high = na var float or_low = na var float or_open = na if new_sess or_high := high or_low := low or_open := open else if is_sess or_high := math.max(or_high, high) or_low := math.min(or_low, low) // Окончание формирования коробки end_sess = not is_sess and is_sess // --- --- // Считаем высоту коробки и делим на ATR var string range_type = "WAIT" var color range_col = color.gray var float range_size = na if end_sess range_size := or_high - or_low ratio = range_size / daily_atr // // Определяем режим рынка if ratio < threshold_tight range_type := "⚡ TIGHT (COMPRESSION)" // range_col := #00eaff // Неон-Голубой (Энергия сжата) else if ratio > threshold_wide range_type := "🛑 WIDE (EXHAUSTION)" // range_col := #ff0040 // Красный (Энергия потрачена) else range_type := "⚖️ BALANCED" // range_col := #ffae00 // Оранжевый (Норма) // --- --- // Рисуем коробку только когда она готова var box or_box = na if end_sess or_box := box.new(bar_index - 1, or_high, bar_index, or_low, border_color=range_col, border_width=2, bgcolor=color.new(range_col, 85)) // Продлеваем линии вправо line.new(bar_index, or_high, bar_index + 10, or_high, color=range_col, style=line.style_dashed) // line.new(bar_index, or_low, bar_index + 10, or_low, color=range_col, style=line.style_dashed) // // --- --- // Куда цена может дойти сегодня? // Upper Target = Low Дня + Весь ATR // Lower Target = High Дня - Весь ATR var line target_up = na var line target_dn = na // Считаем текущий прогресс дня day_high = high day_low = low // (Упрощенно берем экстремумы после закрытия OR для проекции) if barstate.islast float proj_up = low + daily_atr // float proj_dn = high - daily_atr // line.delete(target_up) line.delete(target_dn) target_up := line.new(bar_index - 10, proj_up, bar_index + 10, proj_up, color=color.green, width=2, style=line.style_solid) target_dn := line.new(bar_index - 10, proj_dn, bar_index + 10, proj_dn, color=color.red, width=2, style=line.style_solid) label.new(bar_index + 10, proj_up, "MAX TARGET (+100% ATR)", style=label.style_none, textcolor=color.green) label.new(bar_index + 10, proj_dn, "MIN TARGET (-100% ATR)", style=label.style_none, textcolor=color.red) // --- --- // var table hud = table.new(position.top_right, 2, 4, border_width=0) if barstate.islast // Заголовок table.cell(hud, 0, 0, "ORBITAL SCAN", text_color=color.white, bgcolor=color.black) table.cell(hud, 1, 0, range_type, text_color=color.black, bgcolor=range_col) // ATR Info table.cell(hud, 0, 1, "DAILY ATR:", text_color=color.gray, bgcolor=color.black) table.cell(hud, 1, 1, str.tostring(daily_atr, format.mintick), text_color=color.white, bgcolor=color.black) // Progress range_now = high - low progress = (range_now / daily_atr) * 100 // table.cell(hud, 0, 2, "ATR BURNED:", text_color=color.gray, bgcolor=color.black) table.cell(hud, 1, 2, str.tostring(progress, "#") + "%", text_color=progress > 80 ? #ff0040 : #00ffaa, bgcolor=color.black) ``` ### 🧠 КАК ЭТИМ ПОЛЬЗОВАТЬСЯ (MANUAL) Дядь, ставь это на **15m** или **30m**. 1. **Жди 10:00 утра** (или когда закончится твой час открытия). 2. **Смотри на цвет коробки:** - 🔵 **СИНИЙ (Tight / <27% ATR):** Внимание! Энергии дохрена. Сегодня будет тренд. _Стратегия:_ Ставь отложенные ордера на пробой границ коробки. Полетит далеко. - 🔴 **КРАСНЫЙ (Wide / >60% ATR):** Расслабься. Рынок уже "сделал дело" утром. _Стратегия:_ Торгуй отскоки внутрь коробки. Пробои будут ложными. 3. **Смотри на Зеленую Линию (MAX TARGET):** - Это твой **Take Profit** на сегодня. Дальше цена вряд ли уйдет, у нее бензин кончится (ATR exhausted). Это и есть тот "один индикатор", который они продают. Забирай бесплатно. 💸
Pine Script® 인디케이터
brainyProfile24987의
Swing FlowSwing Flow is a market structure indicator designed to identify and trade with the prevailing trend by tracking swing highs and swing lows. Based on the principle that markets trending higher print higher highs and higher lows while markets trending lower print lower highs and lower lows, the indicator automatically detects these pivot points and classifies the current structure as Bullish, Bearish, Contracting, or Expanding. When structure is confirmed bullish, the indicator calculates an invalidation level set 2% below the most recent higher low, providing a logical stop placement where the bullish thesis would be negated if price trades through it. A key feature is the Early Warning System, which alerts traders when price breaks above a prior swing high or below a prior swing low before the new pivot is officially confirmed. Because pivot detection requires several bars of confirmation, this early warning gives traders advance notice that structure may be shifting, allowing earlier entries with defined risk rather than waiting for lagging confirmation. When the early warning is active, the indicator displays the potential invalidation level and calculates the risk percentage from current price, helping traders assess whether the reward-to-risk ratio justifies an entry. The indicator marks CME gold open times with vertical lines, highlighting the 6 PM ET session opens that often bring increased liquidity and directional moves. Sunday opens are marked with thicker yellow lines to distinguish the weekly open from regular daily session opens. This feature is particularly useful for gold traders using PAXG as a crypto proxy or GLD in traditional brokerage accounts, though the indicator works on any asset with swing structure. The info table displays comprehensive market data including the current structure state, early warning status, last confirmed swing high and low with color coding to indicate whether each was higher or lower than its predecessor, the invalidation level and risk percentage, and buy zone status which activates when price approaches the higher low in bullish structure. Technical indicators include RSI with 5-zone color coding from oversold to overbought, ADX for trend strength, and directional movement indicators showing whether bulls or bears are dominant. Open interest analysis provides insight into positioning and leverage in crypto markets, displaying OI score with conviction levels, sentiment classification based on OI and price movement relationships, buildup risk assessment combining OI elevation with ATR compression, and leverage pressure scoring that synthesizes multiple factors into a single actionable metric. The final row shows 1-hour and daily 24-period EMAs with green or red backgrounds indicating whether price is above or below each level, providing quick trend confirmation across timeframes. The scoring bars at the top and bottom of the chart offer at-a-glance momentum and direction assessment. The RSI bar at top uses a 5-zone color scheme progressing from dark green in oversold territory through lime, white at neutral, pink, and maroon in overbought territory. The Directional bar at bottom combines the directional movement reading with ADX strength, displaying green tones when the bullish DI is dominant and red tones when bearish DI leads, with color intensity increasing as ADX indicates stronger trending conditions. Swing Flow is designed for traders who want to align with market structure rather than fight it, entering positions near logical support levels with predefined invalidation points that keep losses small when wrong while allowing profits to run when the structure thesis proves correct. The combination of structure detection, early warning alerts, comprehensive market data, and visual scoring bars provides everything needed to identify high-probability setups and manage risk effectively.
Pine Script® 인디케이터
ralis24의
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?" The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session. Features & Methodology 1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes: Daily & 4-Hour: Establishes the macro direction. 15-Min & 5-Min: Monitors intraday order flow. Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish. 2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range. Range High & Low: Defining the volatility of the opening hour. Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount). Quadrants (25% & 75%): Deep discount/premium zones for precision entries. 3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading. Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them. Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level. Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet. How to Use This Indicator This tool is designed to identify Confluence: Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green). Wait for 10:30 AM EST: Allow the script to draw the First Hour Range. Trade the Confluence: Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels. Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels. Settings & Customization Dashboard Toggle: Show or hide the table to keep charts clean. Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps. Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles. Credits & Attribution Concept: Inner Circle Trader (Michael Huddleston). Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?" Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
Pine Script® 인디케이터
DivergentTrades의
MA Smart SyncMA Smart Sync determines the market bias by evaluating the price position relative to a moving average channel on four independent timeframes and returning a confluence signal when a configurable number of them agree. Unlike standard MTF trend indicators that rely on EMA crossovers or slope direction, this script builds a channel around each timeframe and classifies price into three discrete zones: above, below, or inside. The "inside" state acts as a neutral filter, preventing false confluence signals during consolidation — a key distinction from binary up/down dashboards. The channel itself can be constructed using five different methods selectable from a single input: High/Low MA (separate MAs applied to high and low), Close ± ATR, Close ± Standard Deviation, Close ± percentage offset, or classic Bollinger Bands. All five use the same MA type and length inputs, making it straightforward to compare how different volatility envelopes behave on the same instrument without rebuilding the indicator. How to use: — Set four timeframes matching your trading plan (defaults: 15m, 1h, 4h, D). — Choose the channel method that fits your instrument's volatility profile. ATR-based channels adapt well to forex; StdDev and Bollinger suit equities and indices. — Set "Minimum Confluence" to 3 or 4. A value of 4 means all timeframes must agree before a signal fires. — The background color and arrow labels update only when bias changes, keeping the chart clean. — Use the status table (top-right) to monitor each timeframe independently and identify which TFs are lagging.
Pine Script® 인디케이터
Smart-Day-Trader의
Length Adaptive MA SuperTrendLength Adaptive MA SuperTrend Length Adaptive MA SuperTrend is a third-generation evolution of the SuperTrend concept, designed to improve signal accuracy while maintaining high responsiveness across different market conditions. The indicator dynamically adjusts its moving-average length to better match current market activity, allowing it to react quickly in fast markets while remaining stable during slower phases. This adaptive behavior helps traders and investors visualize trend direction more clearly while reducing unnecessary noise, making the tool suitable for both beginners and advanced users seeking a responsive trend overlay. 🔍 How It Works The indicator uses a moving average as the foundation for a SuperTrend-style structure, but instead of keeping the moving-average length fixed, it continuously adapts to changing market environments. The script compares average activity levels across three horizons: • Long-term period • Medium-term period (half length) • Short-term period (square-root length) Activity is measured using one of three selectable drivers: • ATR (volatility) • Volume • Standard deviation Whichever period shows the strongest average activity becomes the active length used for calculating the moving-average base. This allows the indicator to automatically shift between faster and slower behavior depending on market conditions. After selecting the active length, the result is slightly smoothed using the chosen moving-average type to produce a cleaner and more stable trend structure. ATR-based bands are then applied around the adaptive base, and trend direction changes when price crosses these bands. ⚙️ Key Features • Adaptive moving-average length selection • Automatic adjustment between short, medium, and long market conditions • Multiple smoothing types (SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, EWMA) • ATR-based SuperTrend structure • Trend transition markers • Optional candle coloring based on active trend 🧩 Inputs Overview • Moving-average smoothing type • Base length and price source • ATR length and multiplier • Adaptive driver selection (ATR, Volume, or Standard Deviation) 📌 Usage Notes • Helps visualize prevailing market trends across changing environments. • Automatically adapts speed for trending and consolidating markets. • Signals may change intrabar on lower timeframes. • Best used with confirmation tools and proper risk management. • Intended as an analytical tool, not financial advice.
Pine Script® 인디케이터
MisinkoMaster의
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization Overview Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias. Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction. This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions. Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators. Conceptual Framework Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis. Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships. Three core principles guide the design: Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously. Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics. Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions. This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context. Theoretical Foundation The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction. A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength. Five internal systems operate in tandem: Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology. Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping. Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones. Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity. Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling. This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals. How It Works Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes: Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data. ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period. Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values. Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50. Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish. Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions. Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory. Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window. Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red. Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay. Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure. Interpretation Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context: Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction. Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction. Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength. Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength. Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction. Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction. Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude. Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location. Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier. Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance. Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings. Signal Logic & Visual Cues Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals: Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments. Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment. Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase. Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation. Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state. Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions. Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge. Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes. The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals. Strategy Integration Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches: Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant. Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure. Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation. Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants. Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance. Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure. Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence. Technical Implementation Details Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish) Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations 15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability 4H - Daily : Swing and position-level macro regime identification with sustained trend classification Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution Suggested Baseline Configuration: ADX Period : 14 ADX Smoothing : 14 Trend Threshold : 25.0 Trail Length : 15 Correlation Period : 50 Min |Correlation| to Show Line : 0.3 Web Radius : 30 Show Quadrant Colors : Enabled Show Regime Summary Bar : Enabled Show Velocity Arrows : Enabled Show Correlation Web : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise. Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries. Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns. Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity. Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation. Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise. Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization. Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships. Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering. Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes. Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Macro-aware trading approaches requiring cross-market regime context for directional bias Intermarket analysis strategies monitoring correlation breakdowns and regime divergences Portfolio construction decisions requiring simultaneous multi-asset regime classification Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring Trend-following systems benefiting from cross-asset regime confirmation before entry Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress Reduced Effectiveness: Single-asset focused strategies not incorporating cross-market context in decision logic High-frequency trading approaches where multi-security request latency impacts execution Markets with consistently weak correlations where network topology provides limited insight Extremely low volatility environments where ADX remains persistently below threshold for all assets Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped) Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime Disclaimer Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Pine Script® 인디케이터
BOSWaves의
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction. 🚀 Benefits • Reduced noise through multi-source averaging • Fast response to market changes • Strong performance on volatile assets, especially altcoins (notably CROUSD) 💡 Core Idea The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously. ⚙️ How It Works A fast and a slow moving average are calculated. Multiple intermediate values are derived and averaged to build a highly stable center line. Differences between all components are averaged to estimate volatility. This volatility is added and subtracted from the center line to form dynamic upper and lower bands. The result is adaptive bands that track market structure with high accuracy and reduced lag. 📌 Usage Notes • Best suited for trend detection and dynamic support/resistance. • Bands expanding → volatility increasing. • Bands contracting → market compression or consolidation. • Crosses above/below bands often signal strong directional shifts. Enjoy and trade smart.
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MisinkoMaster의
bezgincan_the power of3( VVM)Universal Alpha Engine: The Power of 3 (VVM) Description: The market is not just about price. You need to see the "fuel" behind the price. Unlike traditional indicators, Universal Alpha Engine combines three different dimensions in a mathematical synthesis: Momentum: Measures the speed of price change using ROC. Fuel (Volume): Checks whether money is actually flowing in or out through Money Flow Index (MFI) integration. Pressure (Volatility): The standard deviation coefficient distinguishes whether the movement is "real" or "noise." Unique Features: Volatility Filter: If volatility is low (market is flat), the oscillator narrows, protecting you from false signals. Color-Coded Histogram: You can see not only the direction but also whether the momentum is increasing or decreasing from the color tones. Alpha Signals: Triangles below the histogram indicate reversal signals in extreme regions. Usage Recommendation: Green triangles below the zero line represent the start of a voluminous and strong recovery. Dark red areas above the 15 level are "fatigue" zones; profit taking may be necessary.
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mehmetbezgincan의
Trend FollowingTrend Following is a visual trend-tracking indicator built on multiple exponential moving averages (EMAs) and market-context confirmation. The indicator combines: Slow EMA (50) to define the primary trend Fast EMA (20) for intermediate trend alignment Fastest EMA (9) for timing and sensitivity 200 SMA as a long-term structural reference The moving averages change color dynamically: Green when the MA is rising and price is above it (healthy trend) Red when the MA is falling and price is below it (downtrend) Yellow during transition phases, consolidation, or loss of momentum The chart background is also color-coded to highlight the market regime: Green → bullish bias (trend continuation) Red → bearish bias Black → conflict, correction, or consolidation zones (avoid aggressive entries) Additionally, the script includes: Logic for identifying low-wick candles, indicating directional strength Volume confirmation using a 21-period volume moving average 📌 Indicator purpose: To help traders stay aligned with the dominant trend, avoid low-probability environments, and improve timing on pullbacks and continuation moves. 📈 Best suited for: Trend following Swing trading Position trading Market context and trend confirmation before technical setups ⚠️ This indicator does not generate automated signals. It is designed as a context and confirmation tool and should be used alongside proper risk management and a well-defined trading strategy.
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renatosaab의
Meridian v2A comprehensive multi-timeframe trading system that combines statistical volatility levels, dynamic price ranges, momentum-based signals, and precision entry/exit zones. Key Features: StdDev Levels: Displays standard deviation bands from higher timeframes (4H, 1H default) to identify key support/resistance zones based on price volatility Trading Ranges: Automatically plots dynamic support/resistance ranges using ATR calculations with adaptive zone fills ZScore Momentum: Colors candles based on normalized price momentum relative to moving average, highlighting bullish/bearish conditions 60 Tick Lines: Draws horizontal lines at precise tick distances above/below current price for scalping entries EMA System: Dual EMA crossover signals with optional volume confirmation and visual ribbon display Trade Signals: Diamond markers for range breakout entries, triangle markers for EMA crossovers Perfect for multi-timeframe analysis combining volatility structure, momentum, and precise price levels for confluence-based trading decisions.
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I_See_Candles의
FVG Detector - With Close Direction & Breakoutgreat. now, after the touching candle the ones that obeyed the last command with zero balls, indicate when the next candle, ie the candle following the ones with yellow and green balls, trades above the high of the yellow balls candle and vice versa. ie for yellow balls(candles that trade up to touch the fvg), the next candle after it will have to trade above the high of the touching yellow candle. and vice versa for the green one
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Danito_의
True Range Smoothed SuperTrendTrue Range Smoothed SuperTrend (TRS SuperTrend | MisinkoMaster) The True Range Smoothed SuperTrend is an innovative trend analysis indicator designed to identify clear market trends while minimizing noise. By combining a smoothed price source weighted by true range values with an ATR-based volatility multiplier, this tool delivers reliable trend signals adaptable to a wide variety of asset classes and timeframes. It’s particularly useful for traders seeking a versatile trend-following system that balances sensitivity and stability. 🔍 Concept & Idea The indicator enhances the classic SuperTrend concept by using a true range–weighted smoothing of price data instead of raw price or simple moving averages. This weighting helps focus on periods with higher volatility, improving the relevance of trend detection. Along with smoothing, the indicator applies an ATR-based volatility multiplier to dynamically adjust the upper and lower trend bands, adapting to current market volatility conditions. ⚙️ How It Works True Range Weighted Smoothing: The source price (default: low) is multiplied by the true range values over the lookback period. These weighted values are summed and normalized by the total true range sum. The result is further smoothed using an Exponential Moving Average (EMA) with a length proportional to the square root of the input length, reducing noise while preserving trend responsiveness. ATR-based Bands: The Average True Range (ATR) is calculated with the same length as the smoothing period. The ATR is multiplied by a user-defined multiplier to establish dynamic upper and lower bands around the smoothed price. Trend Determination: When the source price crosses above the upper band, a bullish trend is signaled. Conversely, crossing below the lower band signals a bearish trend. These crossings update the trend state, which controls plotted bands and trend labels. 🧩 Inputs Overview Length – Controls the lookback period for true range weighting, ATR calculation, and smoothing. Affects sensitivity and smoothness (default 37). Source – Price source used for calculation, defaulting to low. Multiplier – Scales the ATR bands to adjust volatility sensitivity (default 1.45). 📌 Usage Notes The TRS SuperTrend works well across various asset classes and timeframes. The true range weighting improves trend detection in volatile markets by emphasizing price moves during active periods. Adjust the length and multiplier inputs to balance between noise reduction and responsiveness for your specific market and strategy. Trend changes are visually marked with “𝓛𝓸𝓷𝓰” and “𝓢𝓱𝓸𝓻𝓽” labels directly on the chart. Background fills between bands and price improve visual clarity. Combine with other confirmation tools and risk management practices for best results. Not a standalone trading system; always validate and backtest prior to live trading. ⚠️ Disclaimer This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and users should perform their own analysis before making trading decisions. Enjoy smoother and clearer trend analysis with the True Range Smoothed SuperTrend!
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MisinkoMaster의
MACD RSI EMA AGGRESSIVE + ATR SLTP (ALL COIN)This indicator is designed for aggressive scalping and intraday trading, especially on crypto futures. It combines: - MACD crossover for momentum direction - RSI filter to avoid weak signals - EMA trend filter to follow market bias - Volume confirmation to reduce false signals - ATR-based SL/TP visualization for risk management The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes. Best used on lower timeframes (1m–5m) with proper risk management.
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allegraclift5의
Combined Advanced Blueprint + Hybrid Stop + GravityCombined Advanced Blueprint + Hybrid Stop + Gravity Overview This indicator is a comprehensive "Swiss Army Knife" trading system that combines the classic Traders Reality Blueprint (Moving Averages & Vector Zones) with advanced institutional volume detection (Gravity Squeeze & Sharks) and a Hybrid Trailing Stop for trade management. It is designed to identify institutional footprints, trend direction, supply/demand zones, and volatility contractions in a single, all-in-one overlay. 🚀 Key Features 1. Gravity Squeeze & Shark Detection (Institutional Volume) This module detects anomalies in volume and price action to identify where "Smart Money" is stepping in. Shark Icons (🦈): Appear when the Negative Volume Index (NVI) detects significant accumulation during low volatility periods. This often signals a "defense" of a price level by institutions. Shark Support (Blood) Zones: When a Shark is detected, a red box is drawn from the low of the candle. This represents an institutional "line in the sand." If price closes below this box, the zone is invalidated (broken). Gravity Squeeze (⚡): Indicates a contraction in volatility (ATR compression), suggesting an explosive move is imminent. Coils (🌀) & Hammers (🔨): Identifies specific price action patterns occurring on high relative volume. 2. The Blueprint Moving Averages Includes the standard Traders Reality moving average sequence to identify trend state and dynamic support/resistance. Red (8 EMA): Immediate trend. White (21 EMA): Short-term trend (The "Baseline"). Blue (34 EMA): Trend confirmation. Indigo (55 EMA) & Purple (89 EMA): Mid-term trend. Orange (50 SMA) & Dark Orange (200 SMA): Major institutional levels (Golden/Death Cross). Visual Crossovers: Arrows and shapes appear for 8/21 crosses, 8/34 crosses, and the 50/200 cross. 3. PVSRA (Price Volume Support Resistance Analysis) Colors trade bars based on volume relative to the average, highlighting hidden liquidity. Green/Red Bars: Volume is ≥ 200% of the average. (Climax action). Blue/Violet Bars: Volume is ≥ 150% of the average. Grey Bars: Average/Low volume. Vector Zones: Automatically plots zones based on these high-volume candles to show where significant business was transacted. 4. Hybrid Trailing Stop A volatility-based stop-loss system designed to keep you in the trend longer. Calculation: Uses a combination of ATR (Average True Range) and manually input Implied Volatility (IV) to calculate a safe distance from price. Visual: A Fuchsia line that trails behind price. When price closes across this line, the trend structure is considered broken. 5. Inflection Zones (Supply & Demand) Auto-Drawing: Identifies Swing Highs and Swing Lows to draw Supply (Blue) and Demand (Red) boxes. BOS (Break of Structure): When price breaks through a zone, the box is removed or converted, helping keep the chart clean. 6. Pivot Points & VWAP Pivots: Displays multitimeframe pivots (Daily, Weekly, Monthly, etc.) including Traditional, Fibonacci, and Camarilla calculations. VWAP: Includes Standard Deviation bands (1, 2, and 3 SD) anchored to Session, Week, Month, or even Earnings/Splits. 7. Keltner Channels & RSI Triggers Entry Signals: Plots circles on the chart when RSI enters extreme zones (Overbought/Oversold) while price is interacting with the Keltner Channel bands. 🛠 Settings & Configuration Gravity Squeeze & Sharks Enable: Toggle the overlay on/off. Min Volume: Set the threshold for volume analysis (Default: 300k). Max ADX: Filters out signals if the trend is already too exhausted. Inflection Zones Swing Length: Sensitivity of the swing high/low detection. History to Keep: How many historic zones to display before deleting old ones. Pivot Levels Timeframe: Auto-selects based on your chart, or force specific timeframes (e.g., Daily Pivots on a 15m chart). Type: Choose between Traditional, Fibonacci, Woodie, etc. Trailing Stop Multiplier: Adjust how "loose" or "tight" the stop is (Default: 1.5 ATR). IV %: Manually input the annual Implied Volatility for the asset for higher precision. 🎯 How to Trade (Strategy Ideas) 1. The Shark Defense: Look for a Shark Icon (🦈). Watch the red "Blood" box form. Long Entry: If price retests the box and holds (does not close below it), this is a high-probability buy zone. Stop Loss: A candle close below the red box. 2. The 8/21 & 8/34 Cross: Use the Arrows generated by the moving averages. Combine with Vector Candles: If you get a Bullish Cross (Up Arrow) immediately following a Green/Blue vector candle, the move is supported by volume. 3. The Squeeze Breakout: Look for the Squeeze Icon (⚡) indicating low volatility. Wait for the Hybrid Trailing Stop line to flip (e.g., price crosses above the Fuchsia line) to confirm the breakout direction. Alerts The script includes built-in alert conditions for automation: 8/21 Bullish/Bearish Cross 8/34 Bullish/Bearish Cross Credits: Core logic based on Traders Reality (Blueprint/PVSRA). Gravity logic adapted from standard institutional volume analysis. Compiled & Enhanced by Gemini.
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mph1nance의