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Supertrend

SuperTrend Exhaustion Clues [Gabremoku]SuperTrend Exhaustion Clues is a context-aware SuperTrend indicator that separates structural direction from signal timing. Instead of treating every flip as a trade trigger, it classifies market behavior into four states: Transition, Confirmed, Compressed Break, and Exhausted. The goal is to show when trend structure is still healthy, when it is compressing, and when it is weakening enough to start looking for directional clues. The core logic combines four elements: SuperTrend for directional structure, ADX and DI for trend strength, VWAP and price location for acceptance, and compression detection for squeeze/release context. These components are not merged just for convenience; they work together to decide whether price is merely changing direction structurally or whether it is also showing enough internal confirmation to justify attention. BUY and SELL signals are not printed on every flip. They are designed to appear only during Exhausted phases, and only when directional clues align with the next likely move. This makes the indicator more selective than a standard SuperTrend and better suited to reading late-stage trend fatigue and early follow-through behavior. A built-in Signal Profile lets you choose between Responsive, Balanced, and Selective behavior. Responsive lowers the confirmation threshold and is better for faster charts, Balanced is the default middle ground, and Selective raises the bar for cleaner but rarer signals. For this reason, the script is especially useful on lower timeframes, where exhaustion tends to be easier to read and directional clues appear earlier. For higher timeframes, the script can keep showing state, regime, and clue scores while disabling signals from 4H and above. This helps avoid forcing execution signals where the exhaustion logic is less expressive, while still letting you use the indicator for context and structure. The visual design is intentionally restrained: bullish states are blue, bearish states are yellow, compression is purple, transition is gray, and exhaustion is red. The SuperTrend line, gradient fill, dashboard, and color legend are meant to make the state of the market easy to read at a glance without cluttering the chart. How to use it: watch the current state first, then use Exhausted phases as the main area of interest. When the script shows Exhausted and the directional clue score aligns with the next move, that is the moment it is designed to highlight. On 4H and above, the script is better used as a structural context tool rather than a signal engine. @Gabremoku TradingView
Indicador Pine Script®
por Gabremoku
Gold Toolkit 22 [MatsukazeAlgo]🇬🇧 ENGLISH A modular indicator that consolidates 22 Gold-specialized analysis tools into a single script. Each module can be toggled independently — enable one or two at a time for focused analysis. The shared infrastructure provides session awareness, Dollar Index correlation, and psychological price level detection across every module. Designed exclusively for XAUUSD on intraday timeframes. Concepts Modular Architecture -- Most indicators serve a single purpose: one trend filter, one oscillator, one pattern detector. For Gold traders who use multiple tools, this means loading 5–10 separate indicators, each consuming chart resources and requiring independent configuration. A modular architecture solves this by housing all tools within a single script, sharing a common infrastructure layer. Each module runs its own logic but inherits the same session detection, DXY feed, and psychological level engine. The result is consistent behavior across all tools without duplicate calculations. Session-Dependent Behavior -- Gold does not trade the same way at all hours. The Asia session (19:00–03:00 ET) is characterized by tight ranges and stop runs that reverse at the London open. The London session (03:00–09:00 ET) produces directional breakouts driven by European institutional flow. The New York session (09:00–17:00 ET) carries the highest volume and tends to either continue the London move or reverse it sharply. An indicator that applies the same parameters across all three sessions is ignoring 60% of the context. Every module in this toolkit reads the current session and adjusts its signal thresholds accordingly. Asia signals require stronger confirmation. London signals favor trend continuation. NY signals weight volume more heavily. Inverse Dollar Correlation -- Gold is priced in US Dollars. When the Dollar strengthens, Gold tends to fall. When the Dollar weakens, Gold tends to rise. This inverse relationship is not perfect on every bar, but over any meaningful sample it dominates. The toolkit reads TVC:DXY (US Dollar Index) daily data on every bar. Bull signals across all modules require a weak Dollar context (DXY close below open). Bear signals require a strong Dollar context. This single filter eliminates a substantial number of false signals that would otherwise fire against the macro trend. Psychological Price Levels -- Gold reacts consistently at $50 and $100 round numbers. Institutional orders cluster at $4,500, $4,550, $4,600, and similar levels. When price approaches these levels, the toolkit tightens sensitivity and marks signals with a ★ indicator. A Stop Run Reversal scoring 85/100 at $4,550 is qualitatively different from the same score at $4,537 — the psychological level adds an independent layer of institutional confluence. Modules The 22 modules are organized into five categories. Each module is a complete analysis tool. Trend Modules 01 ML Supertrend — A Supertrend variant with a session-learning engine. Tracks flip outcomes per session and adjusts the band multiplier over time. Sessions with low win rates get wider bands (fewer signals). Sessions with high win rates get tighter bands (more signals). Volume surge filter and RSI confirmation prevent signals in thin markets. The dashboard shows per-session win rates, current adapted multiplier, and learning state. 04 Parabolic SAR — Standard SAR calculation with two additions: age-based transparency fading and momentum scoring. Fresh SAR dots are fully opaque. As the trend ages, dots fade toward transparency, giving a visual read on trend maturity without cluttering the chart. The momentum score measures the distance between price and SAR relative to ATR. A high score means price is accelerating away from the SAR. A collapsing score warns of an impending flip. Multi-timeframe alignment check confirms whether the higher timeframe SAR agrees. 05 ACN Trend — An adaptive coral noise filter that outputs a smoothed trend line with risk zones above and below. The noise score quantifies how choppy the current market is. When noise exceeds the threshold, the background shades as a warning to avoid trading. The conviction meter is the inverse of noise — a high conviction reading means clean trend conditions. Bull/Bear signal counts per session track which sessions produce the most reliable signals for your timeframe. 09 Anchored Channels — A dual-layer channel system. Macro channels connect confirmed swing pivots and project forward with band widths derived from maximum deviation. Micro channels fit a short-term linear regression to the most recent bars. When price breaks the macro channel, it is classified as BRK (breakout). When price returns to the channel boundary, it is PB (pullback). When the micro channel aligns with the macro direction, it is CONT (continuation). The MTF screener checks two higher timeframes for directional agreement. A status badge labels the overall trend bias. 18 Asymmetric Trend — Uses different thresholds for entering and exiting a trend. The entry threshold is tight — price must move strongly to flip the trend. The exit threshold is wide — the trend persists through normal retracements. This asymmetry reduces whipsaws in ranging markets while catching genuine trend changes quickly. Gradient fill between the trend line and price shows acceleration visually. Reversal diamond markers appear at flip points with session tags and trend age. Reversal Modules 02 Stop Run Reversal — Detects when price pierces a range boundary (liquidity grab) and reverses. Each event is scored 0–100 based on wick ratio, penetration depth, volume spike, DXY alignment, and session context. Zone boxes mark the reversal area with reference, invalidation, and target lines. A pending state tracker monitors setups that have not yet confirmed, preventing premature signals. Session and DXY tags on each label provide immediate context. 06 Arc Momentum — A non-linear RSI oscillator. Instead of plotting RSI as a flat line, the oscillator curves toward price in an arc. When the arc flips direction, a signal fires. Divergence detection compares RSI pivot extremes against price pivot extremes and flags when they disagree. The momentum zone classification (Overbought / Bull / Neutral / Bear / Oversold) shades the background for a quick visual read on the current state. 11 Harmonic Patterns — Scans for five harmonic patterns: Bat, Gartley, Butterfly, Crab, and Shark. Both bullish (XABCD with D at bottom) and bearish (XABCD with D at top) configurations are detected. Each pattern is scored based on session quality, DXY alignment, and proximity to psychological levels. Fibonacci projection levels are drawn at the PRZ (Potential Reversal Zone) showing 0.382, 0.618, 1.0, 1.272, and 1.618 targets. The tolerance parameter controls how strictly the Fibonacci ratios must match the textbook definitions. 16 RSI Swing Structure — Uses RSI overbought and oversold zones to define swing points. When RSI enters OB and price makes a high, that high is labeled. When RSI enters OS and price makes a low, that low is labeled. Each swing point is classified as HH (Higher High), HL (Higher Low), LH (Lower High), or LL (Lower Low). When the classification sequence breaks — for example, a HH followed by a LL — the indicator labels it as CHoCH (Change of Character). When the sequence continues — HH followed by another HH — it labels BOS (Break of Structure). Swing connecting lines visually link the pivots. RSI value appears on each label. Structure Modules 03 EMA Inversion — Three EMAs (21, 55, 200) with ribbon fill. The indicator tracks Fair Value Gaps that form during trend moves. When an FVG is subsequently filled from the opposite direction (inverse FVG flip), a signal fires. Built-in SL/TP management uses the most recent swing high/low for stop placement and projects a 1:1 target. A cooldown timer prevents re-entry immediately after a stop-out. The trade state label shows whether the indicator considers the current position LONG, SHORT, or FLAT. 08 SwingRegress — Anchors linear regression channels to swing pivot confirmations. When a CHoCH occurs (price breaks the previous swing extreme), a new channel begins from the most recent opposite pivot. The channel slope and deviation are calculated from all bars within the segment. Band 1 and Band 2 at configurable standard deviations define the channel width. A linefill between the bands makes the channel body visible. Psychological price levels within the channel are drawn as dotted gold lines. A Bollinger/Keltner squeeze detector highlights when volatility compresses inside the channel — often a precursor to the next directional move. 10 S/R Zones — Builds support and resistance zones from volume-weighted pivot clustering. Nearby pivots are merged into zones. Each zone receives a strength score based on the number of touches, volume at touch, and recency. When price breaks through a zone, it is flagged. When price returns to a broken zone from the other side, it is flagged as a retest. Ghost zones keep broken levels visible with faded opacity. Star ratings provide a quick strength summary. An age-based decay ensures old, untested zones gradually disappear. 12 FVG Wave — Tracks Fair Value Gaps across the chart with session-colored rendering. Asia FVGs are rose, London FVGs are teal, NY FVGs are sky blue. Each FVG has a POC (midpoint) dotted line. When price touches the POC, a detection event fires. Age-based opacity fading dims old FVGs. Mitigation tracking removes FVGs that have been completely filled. Ghost mode optionally keeps mitigated FVGs visible in muted colors for reference. 17 OB Zone Study — Detects order blocks at displacement candles that follow swing pivots. Each OB is scored with a breakdown showing trend alignment, location quality, session, DXY confluence, and psychological level proximity. Mitigation tracking monitors whether price returns to the OB. Once mitigated, the OB is removed. Age-based opacity fading gradually dims unmitigated OBs that have been on the chart for a long time. 19 Vector SMC — Smart Money Concepts with a volume gate. FVGs and order blocks are only detected when the candle's volume exceeds the average by a configurable multiplier. This filters out structural patterns formed on low participation. OBs extend forward and are automatically invalidated when price closes through them. Sweep labels mark liquidity grabs at swing highs and lows where volume confirms institutional activity. Session Modules 13 Session Range — Tracks the OHLC of Asia, London, and NY sessions in real time. A candle panel visualizes each session's range as a mini candlestick. 25% retracement lines for the London range identify the level where NY price action tends to react. H/M/L/O reference lines project key session levels forward. Regime classification analyzes the session structure pattern (e.g., London Partial Up, London Full Range). Asia sweep detection identifies whether the Asia high or low was taken during London. A stats table shows historical percentages for session behavior patterns. 15 Session Killzones — Draws boxes for Asia, London, NY AM, and NY PM killzone periods. When a killzone closes, its high and low are recorded as levels. These levels extend forward as dashed lines until price sweeps through them. Anticipation bars project the levels further for planning. When a sweep occurs, a detection label marks the bar. Session name labels identify each killzone box. 20 AlgoPath — Plots previous day high and low as horizontal lines. The equilibrium level (midpoint of PDH and PDL) is drawn as a dashed line. London session open and NY session open are drawn when each session begins. New day background shading marks the daily boundary. Whale candle detection flags abnormally large candles — those with body size exceeding a configurable ATR multiple — with session-colored labels showing the session name and exact time. Volume and Correlation Modules 07 Minicharts — Displays Silver (XAG/USD), Dollar Index (DXY), and Gold Futures (GC1!) in a correlation panel. Each symbol shows EMA position (above/below). SMT (Smart Money Technique) divergence detection flags when Gold moves in the opposite direction to a correlated asset — a potential early warning of reversal. 14 Institutional Volume — Identifies accumulation and distribution phases using volume clustering analysis. When multiple high-volume candles with consistent directional bias appear within a lookback window, the indicator flags the zone. Climax volume detection identifies bars where volume × range reaches the highest level in the lookback period. Zone boxes mark the accumulation or distribution area on the chart. 21 Swing TPO — Builds Time Price Opportunity distributions anchored to swing points. The price range between swing pivots is divided into bins, and each TPO period assigns a letter to every visited bin. Gradient-colored boxes range from cool (low activity) to warm (high activity). The POC (Point of Control) line marks the highest-activity price. Psychological level detection flags when the POC lands near a $50/$100 round number. 22 VWAP — Dual-anchor Volume Weighted Average Price. The primary anchor resets on Session, Week, or Month boundaries. An optional second anchor provides a longer-term VWAP for confluence. Standard deviation bands at 1σ and 2σ show statistical extremes. Previous period VWAP, VAH (Value Area High), and VAL (Value Area Low) levels persist as reference lines with price labels. Band touch signals flag when price reaches the 2σ extreme. Slope direction indicates whether the VWAP is rising, falling, or flat. How to Use 1. Open indicator settings. Under "Module Select," enable 1–2 modules. 2. Configure "Gold Settings" for session filtering, DXY, and psychological levels. 3. Apply to XAUUSD on your preferred intraday timeframe (5m–4h recommended). 4. Use the Style tab to show/hide individual signal shapes. 5. The module panel (top right) shows all 22 modules with the active one highlighted in gold. Shared Infrastructure Session Detection — Automatically identifies Asia (19:00–03:00 ET), London (03:00–09:00 ET), and New York (09:00–17:00 ET). Each module reads the current session for parameter adjustment and signal filtering. DXY Feed — Pulls TVC:DXY daily open and close. Determines whether the Dollar is strengthening or weakening on the day. All modules use this for macro alignment. ATR Normalization — All distance calculations (band widths, displacement thresholds, target projections) are normalized to the 14-period ATR. This ensures consistent behavior across timeframes and volatility regimes. Psychological Level Engine — Configurable interval ($25, $50, or $100). Detects proximity to round numbers and flags signals near these levels with ★ markers. Multiple modules use this for confluence scoring. Signal Bus — When any active module generates a Buy or Sell signal, it writes to a shared signal bus. The unified output shapes fire from this bus, providing a consistent visual regardless of which module produced the signal. Module Panel — The top-right panel lists all 22 modules. The active module is highlighted in gold. Inactive modules are dimmed. Session, DXY, and daily range are displayed in the header and footer. Input Reference Module Select — 22 boolean toggles, one per module. Default: Module 01 ON, all others OFF. Gold Settings — Session Filter (ON), Asia Signals (OFF), London Signals (ON), NY Signals (ON), Show DXY (ON), Psych $50/$100 (ON), Psych Interval (50), Show Panel (ON). Each module has its own parameter group accessible when that module is enabled. --- 🇯🇵 日本語 22のゴールド専用分析モジュールを1つのインジケーターに統合したモジュラー型ツール。各モジュールは設定パネルから個別にON/OFF可能 — 1〜2個ずつ有効にして使用。共通インフラがセッション認識、ドルインデックス相関、心理的価格帯検出を全モジュールに提供。XAUUSD日中足専用設計。 コンセプト モジュラーアーキテクチャ -- 多くのインジケーターは単一目的。複数ツールを使うゴールドトレーダーは5〜10個のインジを個別にロードする必要がある。モジュラーアーキテクチャはすべてのツールを単一スクリプトに収容し、共通インフラ層を共有することで解決。各モジュールは独自ロジックを実行しつつ、同一のセッション検出、DXYフィード、心理的価格帯エンジンを継承。 セッション依存型動作 -- ゴールドは時間帯によって異なる動きをする。アジア（19:00–03:00 ET）はタイトレンジとストップラン。ロンドン（03:00–09:00 ET）は欧州機関投資家フローによる方向性ブレイクアウト。ニューヨーク（09:00–17:00 ET）は最大ボリュームでロンドンの継続か急反転。全セッションに同じパラメータを適用するインジケーターは文脈の60%を無視している。本ツールキットの全モジュールは現在のセッションを読み取り、シグナル閾値を調整。 ドル逆相関 -- ゴールドはUSドル建て。ドル高→ゴールド下落、ドル安→ゴールド上昇の逆相関が支配的。TVC:DXY日足データを毎バー読み取り、Bullシグナルはドル安文脈、Bearシグナルはドル高文脈を要求。このフィルターだけでマクロトレンドに逆行する偽シグナルの大部分を排除。 心理的価格帯 -- ゴールドは$50/$100刻みのラウンドナンバーで一貫して反応。機関投資家の注文が$4,500、$4,550、$4,600等に集中。価格がこれらのレベルに接近すると感度を引き締め、★マーカーでシグナルを強調。 モジュール一覧 トレンド系 — 01 ML Supertrend：セッション学習エンジン搭載、勝率追跡・自動調整。04 Parabolic SAR：経過時間フェード、モメンタムスコア、MTFアライメント。05 ACN Trend：適応型コーラルノイズフィルター、ノイズスコア、コンビクションメーター。09 Anchored Channels：マクロ+マイクロ二層チャネル、BRK/PB/CONT分類、MTFスクリーナー。18 Asymmetric Trend：非対称閾値フィルター、グラデーション塗り、リバーサルダイヤ。 リバーサル系 — 02 Stop Run Reversal：流動性奪取検出、0–100スコアリング、ゾーンボックス。06 Arc Momentum：非線形アーク型RSI、ダイバージェンス検出、ゾーン背景表示。11 Harmonic Patterns：5種パターン（Bull+Bear）、フィボナッチ投影。16 RSI Swing Structure：HH/HL/LH/LL分類、CHoCH/BOS検出。 ストラクチャー系 — 03 EMA Inversion：3本EMAリボン+FVG追跡+iFVGフリップ。08 SwingRegress：ピボット固定LRC、CHoCH/BOS、スクイーズ検出。10 S/R Zones：出来高加重クラスタリング、強度スコア、リテスト追跡。12 FVG Wave：セッション色分けFVG、POC、ミティゲーション追跡。17 OB Zone Study：OB検出+スコア内訳+経過フェード。19 Vector SMC：出来高ゲート付きSMC。 セッション系 — 13 Session Range：Asia/London/NY OHLC、キャンドルパネル、25%ライン、レジーム分類。15 Session Killzones：キルゾーンボックス+未スイープレベル追跡。20 AlgoPath：前日高安、イクイリブリアム、ホエールキャンドル。 ボリューム・相関系 — 07 Minicharts：Silver/DXY/GC相関パネル、SMT検出。14 Institutional Volume：蓄積/分配検出、クライマックス出来高。21 Swing TPO：グラデーションTPO分布、POC。22 VWAP：デュアルアンカー、σバンド、前期間レベル。 使い方 1. 設定の「Module Select」で1〜2個を有効化。 2. 「Gold Settings」でセッションフィルター、DXY、心理的価格帯を設定。 3. XAUUSD日中足（5分〜4時間推奨）に適用。 4. 右上のモジュールパネルで全22モジュールの状態を確認。有効モジュールはゴールドで表示。 共通インフラ — セッション検出（Asia/London/NY自動識別）、DXYフィード（$の強弱判定）、ATR正規化、心理的価格帯エンジン（$25/$50/$100）、シグナルバス（統一Buy/Sell出力）、モジュールパネル（全22モジュール一覧表示）。
Indicador Pine Script®
por MatsukazeAlgo
5
Regime-Adaptive Trend Engine [AlgoPoint]Regime-Adaptive Trend Engine adapts the SuperTrend ATR multiplier dynamically based on real-time market regime detection. Instead of a fixed multiplier (e.g., 3x ATR), this indicator uses a 4-component weighted regime score — ADX strength, volatility ratio, price efficiency, and trend consistency — to tighten the band in trending markets (earlier entries) and widen it in choppy conditions (fewer false signals). 🔹 HOW IT WORKS 1. REGIME DETECTOR • ADX Strength (30%) — normalized 0–1 from ADX 15–35 range • Volatility Ratio (30%) — short-term vs long-term ATR expansion • Price Efficiency (25%) — directional movement vs total noise • Trend Consistency (15%) — % of bars aligned with current bias 2. ADAPTIVE MULTIPLIER Regime Score 0–1 → ATR Multiplier linearly interpolated: • Trending (score ≥ 0.7): tight 2.0–2.9x • Transition (score 0.4–0.7): balanced 2.9–4.1x • Choppy (score < 0.4): wide 4.1–5.0x 3. SUPERTREND ENGINE Standard SuperTrend logic with dynamic multiplier. Bands clamp to prevent repainting. 🔹 FEATURES • Real-time regime dashboard (score %, multiplier, state label) • Regime background gradient (intensity = confidence) • LONG/SHORT signal labels at trend changes • Alert conditions for entries and regime shifts • 11 customizable input parameters • No repainting — uses only confirmed bar data 🔹 HOW TO USE • Monitor the dashboard: green = trend, yellow = transition, red = chop • In trending regime: trust tighter signals for early entries • In choppy regime: bands widen automatically — wait for confirmation • Combine with volume analysis for higher-probability setups • Use alerts for automated trend change notifications The indicator does not predict direction — it measures market state and adapts sensitivity accordingly. Your decision, your trade.
Indicador Pine Script®
por Iamalala
4
Polar Auto Fibonacci Pro - [Rehan Khanani]Polar AutoFib Pro Polar AutoFib Pro is a professional all-in-one trading indicator that combines two powerful systems into a single clean overlay—a trend-following buy/sell signal engine and an automatic Fibonacci retracement tool. No need to juggle multiple indicators; everything you need is right here on the chart. ───────────────────────────── HOW IT WORKS ───────────────────────────── This indicator runs two engines simultaneously: Engine 1 — PolarEdge Signal System Generates high-probability Buy and Sell signals by combining three confirmations: 1. EMA 200 — The primary trend filter. When the price is above the EMA, the system looks for Buy setups. When the price is below, it looks for Sell setups. This keeps you trading with the dominant trend at all times. 2. Supertrend — A dynamic volatility-based band that confirms trend direction. The green band confirms bullish momentum; the red band confirms bearish momentum. 3. RSI (Relative Strength Index) — Used as a momentum trigger. A BUY signal fires when RSI crosses up from the oversold zone (default 30). A SELL signal fires when RSI crosses down from the overbought zone (default 70). All three conditions must align simultaneously—this triple-confirmation logic filters out weak and false signals. Engine 2 — Auto Fibonacci Retracement Automatically detects the most recent swing high and swing low using pivot point calculations, then draws the complete Fibonacci retracement grid in real time — no manual drawing required. The indicator identifies whether the last major pivot was a high or a low, determines the swing direction, and plots all key levels accordingly. When a new swing forms, the levels update automatically. ───────────────────────────── FIBONACCI LEVELS INCLUDED ───────────────────────────── 0 / 0.236 / 0.382 / 0.5 / 0.618 / 0.786 / 1 1.618 / 2.618 / 3.618 / 4.236 Each level is independently toggleable with its own color control. You can show values as decimals or as percentages. Labels can be positioned on the left or right side of the chart. Line extension can be set to Left, Right, or Both directions. ───────────────────────────── KEY FEATURES ───────────────────────────── - Triple-confirmation Buy/Sell signals (EMA + Supertrend + RSI) - Automatic Fibonacci retracement — no manual drawing needed - Real-time swing detection using pivot high/low logic - Dynamic trend background (subtle green/red shading behind candles) - 11 fully customizable Fibonacci levels with individual color pickers - Toggle each Fib level on/off independently - Show prices and/or level values on labels - Labels position: Left or Right - Line extension: Left, Right, or Both - Reverse Fib direction toggle - Works on all assets: Forex, Crypto, Commodities, Indices, Stocks - Works on all timeframes - 6 built-in alert conditions (see Alerts section below) ───────────────────────────── SETTINGS GUIDE ───────────────────────────── Group 1 — PolarEdge Signal Settings - Trend Baseline EMA: Period for the main trend filter (default 200) - RSI Length: RSI calculation period (default 14) - RSI Overbought Level: Sell trigger threshold (default 70) - RSI Oversold Level: Buy trigger threshold (default 30) - Show EMA 200: Toggle the EMA line on/off - Show Supertrend Bands: Toggle the Supertrend lines on/off Group 2 — Auto Fibonacci Settings - Pivot Depth: Number of bars to look back for swing detection (default 10). Lower = more sensitive, Higher = fewer but stronger pivots - Reverse Fib Direction: Flips the Fib measurement direction - Extend Left / Right: Controls how far Fib lines extend on the chart - Show Prices: Displays exact price on each level label - Show Level Values: Displays the Fib ratio on each level label - Level Format: Choose between decimal values or percentage display - Labels Position: Place labels on the Left or Right side Group 3 — Fibonacci Levels - Toggle each of the 11 levels individually - Customize the value and color of every level ───────────────────────────── ALERT CONDITIONS (6 Total) ───────────────────────────── 1. BUY Alert — fires on every confirmed Buy signal 2. SELL Alert — fires on every confirmed Sell signal 3. Any Signal — fires on either Buy or Sell 4. Fib 0.618 Cross — price crosses the Golden Ratio level 5. Fib 0.5 Cross — price crosses the midpoint level 6. Fib 0.382 Cross — price crosses the key retracement level To activate: click the alarm clock icon on the indicator, select your desired condition, and set your notification method. ───────────────────────────── HOW TO USE ───────────────────────────── Step 1 — Identify trend direction using the EMA 200 and the background color. Green background means bullish bias; red background means bearish bias. Step 2 — Watch for a BUY or SELL label to appear. This confirms all three conditions (EMA, Supertrend, RSI) have aligned. Step 3 — Use the automatically drawn Fibonacci levels to plan your entry, stop loss, and take profit targets. Common setups: enter near the 0.382 or 0.5 retracement, target the 0 or -0.236 extension, stop below the 0.618 or 0.786 level. Step 4 — Set alerts on your preferred Fibonacci levels to be notified when price reaches key zones. ───────────────────────────── RECOMMENDED TIMEFRAMES ───────────────────────────── - Scalping: 1m, 5m, 15m - Intraday: 30m, 1H - Swing Trading: 4H, Daily - Position Trading: Weekly The indicator adapts to any timeframe automatically. ───────────────────────────── DISCLAIMER ───────────────────────────── This indicator is a technical analysis tool designed to assist in identifying potential trading opportunities. It does not guarantee future results. Always apply proper risk management and conduct your own analysis before entering any trade. Past signal performance is not indicative of future results.
Indicador Pine Script®
por rehankhanani
Supertrend NexusSupertrend Nexus A next-generation trend engine built around the core principles of Supertrend, enhanced with adaptive volatility, trend quality analysis, efficiency measurement, and multi-timeframe confirmation. Traditional Supertrend indicators are designed to answer one primary question: "Has trend direction changed?" Supertrend Nexus expands on that concept by transforming a simple trend-following system into a complete market interpretation framework designed to answer: • Is the trend strengthening or weakening? • Is movement efficient or choppy? • Is higher timeframe direction supporting the move? • Is current price action extended? • Is continuation or exhaustion more likely? • Is the setup high quality or lower probability? Features Adaptive Supertrend Engine Builds upon traditional ATR-based Supertrend calculations Optional adaptive multiplier system Automatically adjusts sensitivity based on market efficiency Helps reduce noise while responding more dynamically to changing market conditions Efficiency Ratio Analysis Measures directional movement relative to market noise Identifies whether price action is efficient or choppy Helps filter lower-quality conditions Higher Timeframe Alignment Optional HTF trend confirmation Compares local trend conditions against broader market direction Helps align setups with larger directional pressure EMA Trend Confirmation Additional trend validation layer Helps identify whether price is trading with or against prevailing direction Trend Quality Scoring Combines multiple components into an overall signal-strength framework: • Trend alignment • Higher timeframe agreement • Efficiency ratio • Distance from Supertrend • Adaptive trend behavior Decision Dashboard Supertrend Nexus converts raw market data into a simplified decision engine. Includes: • Market State analysis • Signal Strength meter • Trade Quality grading • Trend direction classification • Higher timeframe alignment • Efficiency state • Risk and behavior analysis • Next-action guidance Market State Examples Bullish Trend Confirmed Trend direction and confirmations aligned Bearish Trend Confirmed Downside trend pressure supported by confirmation filters Bullish / HTF Conflict Local direction differs from broader market trend Mixed Trend State Conditions are conflicting or lower quality Risk / Behavior Examples Examples may include: • Continuation favored • Pullback risk increasing • Choppy conditions present • Whipsaw risk elevated • Extended trend behavior Suggested Uses Can be combined with: • Market structure • Supply and demand zones • Liquidity sweeps • Volume Profile / POC analysis • Higher timeframe bias • Risk management systems About TrendGenY Indicators TrendGenY indicators are built from market experience, creative concepts, and a constant pursuit of unique perspectives. Rather than following conventional ideas, the focus is on uncovering alternative insights and viewing market behavior through different angles to reveal information that traditional tools may overlook and help traders build a more meaningful edge in the market.
Indicador Pine Script®
por TrendGenY
Signal Forge [LuxAlgo]The Signal Forge indicator is a modular technical analysis engine that allows users to blend 11 distinct technical filters into a unified signal and backtest the results in real-time. This tool aims to simplify strategy development by providing a visual framework for testing indicator confluence and risk management settings without writing code. 🔶 USAGE The script provides a flexible logic system for generating signals based on the alignment of multiple technical components. Users can toggle specific indicators on or off and choose between "strict" mode (requiring ALL active indicators to agree) or "any" mode (where ANY active indicator can trigger a signal). Signals are displayed on the chart as glowing orbs connected to the price action. Each signal includes a real-time historical win rate label at the moment of entry, allowing for a visual audit of the strategy's performance over time. 🔹 Indicator Selection The tool includes 11 harmonized indicators: SMA Crossover RSI Filter (Levels) MACD Crossover Supertrend Stochastic (Trend-based) Bollinger Bands (Basis Filter) EMA Crossover Awesome Oscillator Parabolic SAR CCI Filter ADX/DI Filter 🔹 Risk Management Users can enable ATR-based Take Profit, Stop Loss, and Trailing Stop levels. When active, these levels are plotted on the chart. The Trailing Stop feature includes a specialized gradient fill that highlights the "breathing room" between the price and the exit level. 🔶 DETAILS 🔹 Dashboards The script features two distinct dashboards to provide a comprehensive overview of the strategy: Indicator Dashboard: Shows the real-time bullish/bearish status of all 11 indicators, their individual "standalone" win rates visualized with histograms, and their current toggle status. Performance Dashboard: Provides a high-level summary of the combined strategy performance, including Net Profit %, Win Rate, Profit Factor, and Total Trades. 🔹 Logic Harmonization To ensure different indicator types work together effectively, mean-reversion tools like the Stochastic and Bollinger Bands have been reconfigured to act as trend-confirmation filters. For example, the Stochastic signal is bullish when the %K is in the upper half of its range (> 50) rather than looking for oversold extremes, ensuring it aligns with trend-following components like Moving Averages. 🔶 SETTINGS 🔹 Signal Logic Require All Enabled Indicators to Align: When enabled, every checked indicator must have the same directional bias to generate a signal. 🔹 Risk Management (ATR) ATR Length: The period used for volatility-based exit calculations. Take Profit/Stop Loss/Trailing Stop: Toggles and multipliers for managing trade exits. 🔹 Visuals Orb Distance (ATR): Controls the vertical offset of signal orbs from the price candle. Orb Base Size: Adjusts the thickness and glow intensity of the signal markers. 🔹 Dashboards Dashboards: Enable or disable the table overlays. Position/Size: Options to move and scale the Indicator and Performance tables to fit different screen layouts.
Indicador Pine Script®
por LuxAlgo
15
Synapse Trail Pro [WillyAlgoTrader]◆ SYNAPSE TRAIL PRO — FREE & OPEN-SOURCE Synapse Trail Pro is an overlay indicator that fuses a ratcheted ATR trail, a 3-factor market regime engine, a 5-factor signal quality score, and a complete risk-management layer (SL + TP1/TP2/TP3 + automatic break-even) into one decision-support system. Every signal arrives pre-graded (A / B / C), pre-leveled (SL and three targets drawn on the chart), and pre-contextualized (regime, HTF bias, volume, RSI, ATR percentile — all in one dashboard). The core problem it solves: classic SuperTrend-style trails fire too many signals in choppy markets, and the trader is left guessing which ones to trust. Synapse Trail Pro keeps the clean visual of an ATR trail but scores each signal 0–100 using multi-factor confluence and tells you the market regime in plain language — so you know at a glance whether the chart wants a trend signal taken or skipped. This is fully free, open-source Pine v6 — no paywall, no invite, no DM required. Use it, study it, adapt it. 🧩 WHY THESE COMPONENTS WORK TOGETHER A trail line alone tells you direction. A quality score alone tells you confidence. A regime filter alone tells you environment. None of these are useful in isolation — a high-confidence signal in a choppy regime is still a coin flip, and a clean trail flip in a strong trend with no volume confirmation can still fail. Synapse Trail Pro fuses them into a single pipeline: ATR Trail (with optional ratchet) → Direction Flip Detection → Regime Score (ADX + Choppiness + R²) → Quality Score (HTF + Volume + RSI + Regime + Break Strength) → Grade A/B/C → Risk Levels (preset SL + TP1/TP2/TP3) → Break-Even after TP1 → Lifecycle Stats The trail produces the raw signal. The regime engine tells you whether the market is even capable of trending right now. The quality score weighs five independent confluence factors against that regime. The grade compresses the score into a single letter you can act on. The risk layer then drops your SL, three TPs, and break-even logic onto the chart automatically — so the moment the signal fires, you already see the trade plan. Without the regime engine, you'd take signals in chop. Without the quality score, you'd treat every flip equally. Without the risk levels, you'd still be calculating SL and TPs manually after the signal. Each component covers a blind spot of the others. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ Ratcheted ATR Trail with Adaptive Volatility Multiplier. The trail center is an EMA (default 21) of close, with bands at ±ATR × multiplier (default base 1.618 — the golden ratio). When the Ratchet option is on (recommended), the lower band only moves up in a long position and the upper band only moves down in a short — never loosens, only tightens. On a direction flip, the band resets to its raw value. When the Adaptive Volatility Multiplier is on, the base multiplier auto-scales based on the 100-bar ATR percentile rank: — Low vol (rank < 30) → multiplier × 0.8 (narrower band, catch the move earlier) — Mid vol (30–70) → multiplier × 1.0 (default) — High vol (rank > 70) → multiplier × 1.25 (wider band, avoid noise wicks) Why this matters: a fixed multiplier overreacts in calm markets and gets whipsawed in volatile ones. Percentile-rank scaling keeps the trail behavior consistent across market conditions. 2️⃣ Composite Market Regime Score (0–100) — three-factor blend. Each bar, three independent measurements vote on whether the market is trending or choppy: — ADX (weight 40%) : standard Directional Movement ADX, length 14. Score = min(ADX / 50 × 100, 100). High ADX = strong directional pressure. — Choppiness Index (weight 35%) : ChopIdx = 100 × log10(sum(TR, N) / (highest(high, N) − lowest(low, N))) / log10(N), then inverted to a trend score: chopScore = 100 − ChopIdx. Length 14. Low choppiness = clean directional movement. — R² Linearity (weight 25%) : R² = correlation(close, bar_index, 50)². Measures how linearly price is moving. R² near 1 = clean trend, R² near 0 = pure noise. Final regime score = ADX × 0.40 + chopScore × 0.35 + R² × 100 × 0.25. Thresholds: — Score ≥ 60 → Trending (green) — Score < 35 → Choppy (red) — signals flagged with ⚠ or hard-skipped — Between → Mixed (yellow) Why three indicators instead of one: ADX measures strength but lags. Choppiness measures range expansion but can spike on news. R² measures linearity but is noisy on short windows. Combined and weighted, they cover each other's failure modes. 3️⃣ 5-Factor Quality Score (0–100) with letter grading. When a trail-flip signal fires, it's scored on five confluence factors: — HTF Bias (max 30 points) : higher-timeframe (4× current TF by default) EMA-50 bias. Match = 30, against = 0, HTF data missing or filter off = 15 (neutral credit). — Volume Confirmation (max 20 points) : volume > 20-bar SMA × 1.3 (configurable). Auto-bypassed and given full credit on volume-less instruments (FX). — RSI Momentum (max 20 points) : bullish signal needs RSI > 50, bearish needs RSI < 50. — Regime Score (max 20 points) : regimeScore × 0.20. — Break Strength (max 10 points) : how far past the band close pierced, capped at 3 × ATR. breakStrength = min(|breakDist| / ATR, 3) / 3 × 100, then × 0.10. Grades: — Score ≥ 75 → A (high-quality, all factors aligned) — Score ≥ 55 → B (acceptable, most factors aligned) — Score < 55 → C (weak — most factors against, consider skipping) A "Min Quality Score" input lets you hide everything below a threshold (e.g., set to 55 to show only A and B grades). 4️⃣ Risk Presets with Per-Trade Snapshot Locking. Four risk presets (plus Custom) auto-set SL × ATR and TP1/TP2/TP3 as R-multiples: — Conservative : SL 2.5 × ATR, TP 1R / 2R / 4R — Balanced (default): SL 1.5 × ATR, TP 1R / 2R / 3R — Aggressive : SL 1.0 × ATR, TP 1.5R / 2.5R / 4R — Scalping : SL 0.8 × ATR, TP 0.8R / 1.5R / 2R — Custom : full manual control Critical detail: SL and TP multipliers are snapshotted at entry . If you change the preset mid-trade, the open position keeps its original levels — and the Avg R statistic stays accurate (each closed trade contributes its own-time R values). 5️⃣ Break-Even Logic with Diagnostic BE-Save Counter. When Break-Even After TP1 is on (recommended), reaching TP1 automatically moves the stop-loss to entry price. From the next bar onward, any wick at entry stops out at break-even instead of original SL — letting winners run risk-free to TP2/TP3. A dedicated BE Saves counter on the dashboard tracks wins that closed because BE-stop fired (TP1 reached but TP3 didn't). A high BE-save ratio is a diagnostic signal that your TP3 may be too far — consider tightening. 6️⃣ Same-Bar Hit Guard + Realistic Closure Logic. Two guards prevent unrealistic results: — Entry-bar hold : SL/TP hits are ignored on the entry bar itself. A hairpin wick can't instantly stop out a fresh position. — Same-bar SL+TP1 : if both SL and TP1 are hit on the same bar, the trade closes as a LOSS (conservative — mirrors realistic broker behavior on a single wick). Closures are routed through a single classifier function so flip-closures, SL-closures, and TP3-closures are all tallied identically. 7️⃣ Flip Detection + Dedicated Flip Alert. A "flip" is when an opposite signal fires while a position is still active. The old trade is classified and counted (its TP-reached state determines W/L and R-multiple), THEN the new position opens. A dedicated POSITION FLIP alert fires in addition to the new buy/sell alert, with from-direction, to-direction, prior entry, and new entry — useful for closing managed positions externally. 8️⃣ Unified Dashboard with Three Toggleable Sections. One positioned table with three sections you can switch on/off individually: — Trade section : Direction (with grade), SL (with BE marker), TP1/TP2/TP3 (with ✓ on hit), Risk % / R:R with unicode gauge, Bars in Trade. — Market section : Regime (with 0–100 gauge), HTF bias, Volume status, RSI, ATR | Volatility-rank with adaptive multiplier. — Statistics section : Total signals + grade breakdown (A:N B:N C:N), Buy/Sell split, Closed trades, W/L, Win rate, Avg R-multiple, BE Saves, Flips. Dynamic section headers carry live context (e.g., "─── Trade · LONG · 23 bars ───") so the divider itself summarizes state. 9️⃣ Three Trail Visual Schemes for Different Aesthetics. — Adaptive (Bull/Bear) : classic bright green/red — high visibility. — Premium Indigo (recommended): muted indigo (long) and earth-brown (short) — financial-terminal aesthetic, never competes with green TP lines. — Monochrome : neutral grey for ultra-minimal charts. Optional Double Trail Line adds a dashed secondary line offset by a fraction of ATR (configurable 0.05–1.0 × ATR), creating a "channel" visual. The dashed segments are drawn via a ring-buffer of line.new(... line.style_dashed) instead of plot() — this produces TradingView's native dashed look that plot() can't render natively. 🔟 Theme Auto-Detection + Premium Color Palette. The indicator detects whether your chart background is dark or light (using color.r(chart.bg_color) < 128) and adapts every palette element accordingly. Theme can also be force-set to Dark or Light. Light-theme variants use deeper, more saturated colors to maintain contrast (e.g., deep crimson SL on white, dark amber for BE). All label text colors are calibrated for ≥4.5:1 contrast against their background (e.g., dark green text on bright green long labels = 7.8:1 ratio). 1️⃣1️⃣ Webhook-Ready JSON Alerts with Full Payload. Every buy/sell/flip/SL-hit/TP-hit/BE-activation event can fire as plain text OR structured JSON. The JSON payload includes action, ticker, timeframe, price, SL, TP1/TP2/TP3, R:R, grade, quality score, regime, choppy flag, and flip flag — ready for any webhook automation. 🧠 HOW IT WORKS — STEP BY STEP Step 1 — ATR + Trail Center: ATR(13) and EMA(21) of close are computed. Raw bands = EMA ± ATR × multiplier (base 1.618). Step 2 — Adaptive Multiplier (optional): If on, the multiplier scales by 100-bar ATR percentile (×0.8 / ×1.0 / ×1.25). Step 3 — Ratchet Logic (optional): In a long, the lower band can only move up. In a short, the upper band can only move down. On a direction flip, the band resets to raw. Step 4 — Direction Flip Detection: Close > prev upper band → direction = 1 (long). Close < prev lower band → direction = −1 (short). A change in direction is the raw signal. Step 5 — Regime Score: ADX × 0.40 + ChopScore × 0.35 + R² × 100 × 0.25. Trending ≥ 60, Choppy < 35. Step 6 — Quality Score: HTF (0/15/30) + Volume (0 or 20) + RSI (0 or 20) + Regime × 0.20 + BreakStrength × 0.10. Grade A ≥ 75, B ≥ 55, C < 55. Step 7 — Filtering: Min Quality threshold, choppy-skip toggle, barstate.isconfirmed gating. Step 8 — Risk Levels: SL = entry ± ATR × slMult. TP1/TP2/TP3 = entry ± slDistance × tpMult. All snapshotted to the trade. Step 9 — Lifecycle: On TP1 first-touch → BE activates (SL → entry). On SL or TP3 → trade closes, classified by tp1Reached (WIN if true, LOSS if false), R-multiple credited (1/3 per TP partition), state reset. Step 10 — Visuals + Alerts: SL/TP lines drawn forward, labels updated on hit (✓ + cyan), alerts fired with full payload, dashboard updated. 📖 HOW TO USE — BEGINNER GUIDE 🎯 Quick start (5 steps): 1. Add Synapse Trail Pro to your chart on any timeframe. 2. Open Settings. Leave defaults for the first session — they are tuned for general use (Balanced preset, Premium Indigo trail, HTF filter on, BE on). 3. Wait for the first signal to fire (▲ Long or ▼ Short marker). The marker shows the grade (A/B/C) and a ⚠ flag if in choppy regime. 4. Read the dashboard (top-right by default). Note the Direction , Grade , Regime , and the SL/TP1/TP2/TP3 levels — these are your full trade plan. 5. Execute the trade in your broker using the SL and TPs from the dashboard. Optionally partition position 1/3 at each TP. 👁️ Reading the chart: — 🟢 ▲ Long Grade-letter below a bar = Buy signal. Color matches grade quality. — 🔴 ▼ Short Grade-letter above a bar = Sell signal. — ⚠ next to the grade = signal fired in choppy regime (be cautious or skip). — Trail line = current direction context. Indigo = long bias, terracotta = short bias (in Premium scheme). — Dashed secondary line = soft/hard limit zone, offset by a fraction of ATR. — ENTRY line (dotted blue) = your entry reference price. — SL line (solid red) = your stop-loss. — TP1 / TP2 / TP3 lines (dashed green) = your take-profit targets. Turn solid teal with ✓ on hit. — Entry → SL (BE) label in amber = break-even is active (TP1 was reached, SL is now at entry). 📊 Dashboard fields (Trade section): — Direction : LONG / SHORT / FLAT + Grade letter. — SL : stop-loss price. Shows "BE @" prefix when break-even is active. — TP1 / TP2 / TP3 : target prices. ✓ prefix once reached. — Risk / R:R : distance % from entry to SL + current R:R + visual gauge. — Bars in Trade : how many bars since entry. 📊 Dashboard fields (Market section): — Regime : Trending / Mixed / Choppy + 0–100 gauge. — HTF : higher-timeframe bias (Bullish / Bearish / Flat / off). — Volume : Confirmed / Weak / no data / off. — RSI : current 14-period RSI value, color-coded. — ATR | Vol : ATR value, 100-bar volatility percentile, and current adaptive multiplier. 📊 Dashboard fields (Statistics section): — Signals : total fired + breakdown (A:N B:N C:N). — Buy / Sell : directional split. — Closed : total wins + losses (flip, SL, and TP3 closures all counted). — W / L : wins / losses. — Win Rate : TP1-reached = WIN. Color-coded ≥ 55% green, ≥ 45% yellow, else red. — Avg R : average realized R-multiple per closed trade. — BE Saves : wins that closed because BE-stop fired (diagnostic). — Flips : trades closed by opposite signal mid-position. 💡 Beginner trading workflow: 1. Start with the Balanced preset and HTF Bias Filter ON . 2. Only take A-grade or B-grade signals — set Min Quality Score to 55. 3. Skip every signal flagged with ⚠ (choppy regime) until you understand the regime engine — or enable Hard-skip Choppy . 4. Use the Premium Indigo trail scheme — the muted colors keep your focus on the SL/TP levels, not the trail itself. 5. Always partition position 1/3 at each TP — that's what the R-multiple math assumes. 6. After 30–50 trades, review the Statistics section: if Avg R is positive, the setup works. If BE Saves > 30% of wins, consider tightening TP3. 🔧 Tuning guide: — Too many signals: increase Min Quality Score to 75 (A-grade only), enable Hard-skip Choppy. — Too few signals: lower Min Quality to 0, turn off HTF filter, switch from Balanced to Aggressive preset. — Stops too tight: switch to Conservative preset (SL 2.5 × ATR). — Stops too wide: switch to Scalping preset (SL 0.8 × ATR). — BE stopping you out too often: disable Break-Even After TP1. — Trail too jumpy: increase Trail EMA Length from 21 to 34, enable Ratchet. — Trail too sluggish: decrease Trail EMA Length to 13, decrease ATR Length to 8. — Chart too busy: turn off Double Trail Line and Regime Background, set Trail History Bars to 50. ⚙️ KEY SETTINGS REFERENCE ⚙️ Main Settings: — ATR Length (default 13): ATR period for volatility band. — Base ATR Multiplier (default 1.618 — golden ratio): base band width. — Trail EMA Length (default 21): EMA period for trail center. — Adaptive Volatility Multiplier (default off): auto-scale multiplier by 100-bar ATR percentile. — Ratchet Trail (default on): trail only tightens in position direction. 🔍 Signal Filters: — Min Quality Score (default 0): hide signals below threshold (0 = all, 55 = B+, 75 = A only). — Hard-skip Choppy Signals (default off): fully suppress signals in choppy regime. — Use HTF Bias Filter (default on): Quality Score bonus for HTF-aligned signals. — HTF for Bias (default empty = auto 4×): higher timeframe for bias check. — Use Volume Confirmation (default off): bonus when volume > 20-SMA × threshold. — Volume Threshold (default 1.3): volume × SMA20 to count as confirmation. 🌊 Market Regime: — ADX Length (default 14) — Choppiness Length (default 14) — R² Regression Length (default 50) 🛡️ Risk Management: — Risk Preset (default Balanced): Conservative / Balanced / Aggressive / Scalping / Custom. — Custom SL × ATR (default 1.5) — Custom TP1/TP2/TP3 × Risk (default 1.0 / 2.0 / 3.0) — Break-Even After TP1 (default on): move SL to entry on TP1. — Show SL/TP Lines / Labels / % Distance : all on by default. — Entry / SL / TP Line Styles : Dotted / Solid / Dashed defaults. 🎨 Visual: — Theme (default Auto) — Trail Color Scheme (default Adaptive Bull/Bear) — try Premium Indigo for a financial-terminal look. — Trail Line Width (default 2) — Trail History Bars (default 0 = all) — Double Trail Line (default on) — Double Trail Offset × ATR (default 0.25) — Show Buy/Sell Labels / Grade / Regime Background / Watermark 📊 Dashboard: — Show Dashboard (default on) — master toggle — Position (default Top Right) — 6 positions available — Trade / Market / Statistics Section toggles 🔔 Alerts: — Webhook JSON Format (default off): plain text or structured JSON. — Alert on TP Hits (default off) — Alert on SL Hit (default on) — Alert on Position Flip (default on) 🔔 ALERTS — 🟢 BUY — ticker, TF, price, SL, TP1/TP2/TP3, R:R, grade, quality score, regime, choppy flag, flip flag — 🔴 SELL — same payload — 🔄 POSITION FLIP — from-direction, to-direction, prior entry, new entry — 🛑 SL HIT — entry, SL price, time — 🛡️ BE STOP-OUT — fires instead of regular SL when break-even was active — 🎯 TP1 / TP2 / TP3 HIT — first-touch only, no duplicate fires — 🛡️ BREAK-EVEN — fires the bar TP1 is reached and SL moves to entry All alerts support plain text and JSON webhook format. All fire bar-close confirmed (alert.freq_once_per_bar_close). ⚠️ IMPORTANT NOTES — 🚫 No repainting. All signals require barstate.isconfirmed. Alerts fire once per bar close. The HTF security() call uses the canonical non-repaint pattern (close + ema with lookahead_on), reading the closed HTF bar without future leakage. — 📐 The trail flip is the raw signal source; quality score and filters only suppress, never invent signals. Same-bar SL+TP1 always resolves as a LOSS (conservative bias toward stop). — 📐 Statistics counters are session-scoped — they reset on script reload, input change, or by incrementing the "Reset Stats Counter" input. The Stats section is descriptive, not predictive: past behavior on a chart does not guarantee future behavior on the same chart. — ⚖️ Win = TP1 reached (regardless of how the trade ultimately closed). Avg R assumes 1/3 position partitioned at each TP. These are conventions; your live execution may differ. — 🛠️ This is an analysis tool, not an automated trading bot. It detects trail flips, scores quality, projects SL/TP zones, and tracks outcomes — trade decisions and execution remain yours. — 🌐 Works on all markets and timeframes. Volume-based filters auto-bypass on instruments without volume data (FX). Adaptive multiplier and regime engine scale naturally across symbols. — 📜 Fully open-source Pine v6. Read the code, fork it, adapt it. Feedback and forks welcome.
Indicador Pine Script®
por WillyAlgoTrader
24
AI Signal Bot ML(Clustering) [Quantum Edge]AI Signal Bot ML (Clustering) AI-powered trend-following signal system built on K-Means Machine Learning clustering of Supertrend performance — developed by Quantum Edge Capital LLC. 🧠 How It Works This indicator runs a full unsupervised machine learning pipeline directly on your chart using Pine Script v5. Instead of using a single fixed Supertrend multiplier, it computes a full range of Supertrend variants across a user-defined factor range, measures each variant's historical performance, and uses K-Means clustering to identify which group of factors is performing best on your current instrument and timeframe. The result: a dynamically self-optimizing trailing stop and signal system that adapts to market conditions without curve-fitting to a single parameter. ⚙️ Core Engine Multi-Factor Supertrend Array At bar open, the script computes Supertrend values simultaneously across every factor from your defined minimum to maximum (with configurable step size). Each variant tracks its own upper/lower bands, trend direction, and a live exponential performance score based on how well it captures directional price movement. K-Means Clustering (3 Clusters) Using the performance scores of all computed Supertrend variants, K-Means clustering groups them into three distinct clusters — Best, Average, and Worst performing. Centroids are initialized via quartile interpolation (25th, 50th, 75th percentile) and iterated until convergence (up to a configurable max iteration count). This ensures the clustering is both statistically grounded and computationally efficient. Target Factor Selection The average ATR multiplier factor from your selected cluster (Best / Average / Worst) is extracted and used to compute a live, recalculated Supertrend — your primary trailing stop line. Performance-Adaptive MA (AMA) An adaptive moving average of the trailing stop is computed using a dynamic performance index derived from the target cluster's average performance score divided by an EMA of absolute price change. This AMA acts as a smoothed, momentum-weighted version of the trailing stop for additional context. 📊 Signals Long Signal — printed when the Supertrend flips bullish (price crosses above trailing stop). Label shows the live Performance Index score ×10 as a signal strength gauge. Short Signal — printed when the Supertrend flips bearish (price crosses below trailing stop). Label shows the same score. Candle Coloring — bars are colored on a gradient from the base trend color (transparent) to full opacity based on the performance index, giving you instant visual momentum context. 🖥️ Dashboard An on-chart table displays the current state of all three clusters: Column Content Size Number of Supertrend variants in each cluster Centroid Dispersion Average distance of cluster members from centroid — lower = tighter agreement Factors The list of ATR multiplier factors assigned to each cluster Dashboard is fully configurable: position (Top Right / Bottom Right / Bottom Left) and text size (Tiny / Small / Normal). 🛠️ Settings Setting Description ATR Length Lookback for ATR calculation Factor Range (Min / Max) Range of ATR multipliers to test Step Increment between each tested multiplier Performance Memory EMA length for performance scoring — lower = faster adaptation From Cluster Select Best / Average / Worst performing cluster as signal source Maximum Iteration Steps K-Means convergence cap (default 1000) Historical Bars Calculation How many bars of history to include in clustering Trailing Stop Colors Separate bull/bear colors for the main trailing stop line AMA Colors Separate bull/bear colors for the adaptive MA line Candle Coloring Toggle gradient bar coloring by performance index Show Signals Toggle buy/sell signal labels Show Dashboard Toggle the cluster stats table 📋 How to Use (God's Plan Framework) Directional Bias — Use the Trailing Stop line as your primary bias filter. Only take long setups when price is above the stop; only take shorts below it. Entry Confirmation — Wait for a signal label (flip) then confirm with displacement + retest on your execution timeframe. Cluster Intelligence — Monitor the Dashboard. If the Best cluster has high dispersion, factor agreement is low — reduce position sizing or wait for convergence. AMA as Dynamic S/R — Treat the AMA line as a dynamic support/resistance. A close back through it after a signal flip is a warning to cut risk. Performance Score — The number printed on each signal label (0–10 scale) reflects signal strength. Scores below 3 are low-conviction setups — skip or reduce size under your God's Plan rules. ⚠️ Notes Built in Pine Script v5. Computational intensity scales with factor range width and step size — keep maxData and maxIter reasonable on lower timeframes. K-Means runs fresh on each bar within the maxData window — this is by design for real-time adaptability. Does not repaint — signal labels are confirmed on bar close. Not a standalone entry system. Use within a complete institutional framework with defined invalidation and liquidity context. © Quantum Edge Capital LLC — Licensed under CC BY-NC-SA 4.0. Non-commercial use only.
Indicador Pine Script®
por Quantum-Edge-Capital
Super QuantumX Trend Shift Indicator V2Overview The Super QuantumX Trend Shift Indicator V2 is an institutional-grade confluence engine designed for professional scalpers and intraday trend followers. While many retail indicators focus on a single metric (like price momentum), Super QuantumX recognizes that institutional moves are driven by a convergence of Momentum, Volume, Volatility, and Market Structure. - This indicator is a sophisticated "Decision Matrix." It is not simply a collection of indicators on one chart; it is a gated signal system. A BUY or SELL signal is only generated when six distinct market dimensions align perfectly. This multi-layered approach filters out the noise of low-liquidity sessions and identifies the exact moment "Smart Money" enters the market. Core Institutional Components & Why They Are Used: 1. Refined Momentum (Supertrend Logic): Used to define the primary active zones. We use Cyan for bullish and Purple for bearish momentum to provide an immediate visual bias. 2. Institutional Moving Averages (Multi-Type EMA Cross): Standard retail crosses are often too slow. We provide 6 adjustable MA types (EMA, TEMA, HMA, etc.) to confirm that the short-term trend is supported by institutional moving average baselines. 3. Accumulation Detection (Squeeze Pro): Before an institutional move occurs, the market often consolidates. We integrate Bollinger Band and Keltner Channel compression logic (Yellow bars) to identify these high-pressure zones where big orders are being filled. 4. Relative Aggression (CVD Proxy): Using a Cumulative Volume Delta proxy, the script ensures that signals are backed by aggressive market participants rather than thin retail volume. 5. Velocity & Strength (MACD/RSI/ADX): MACD tracks the velocity of the move, RSI confirms strength relative to the last 14 bars, and ADX filters out "Chop" zones by muting signals when volatility is too low to sustain a scalp. 6. Tactical Confirmation (Candle Pattern Recognition): Even if indicators align, we require a price action "trigger." The script looks for institutional-grade Engulfing patterns to ensure an impulse candle is behind every signal. Advanced Profit Target Hierarchy Unlike standard pivot points, our target system is dynamic and vertically aligned for a clean "R1-R3" look: - HVN TARGET #1 & #2: Uses High Volume Nodedetection over a 100-bar and 25-bar lookback to find the Point of Control where liquidity is most dense. - TARGET #3 & #4: Uses 1.618 and 2.618 Fibonacci Extensions of the higher-timeframe move to identify trend exhaustion levels. The Multi-Timeframe Dashboard A real-time dashboard tracks the health of the trade by showing the status of the Current, 15-minute, and 1-hour trend alignments. This ensures you never scalp against the "Master Trend" of the day. How to Use - The Setup: Wait for Yellow bars (Squeeze) to appear. This indicates institutional interest is building. - The Trigger: A BUY or SELL label will appear when all 6 internal strategies align. - The Zones: Only take long signals in Cyan zones and short signals in Purple zones. - The Exit: Take profit at the horizontal HVN or Fib target levels and trail your stop along the Quantum Line . Settings & Customization Traders have full control over signal sensitivity, including an ATR Strength Filter to ensure candles have enough range to trade, and an optional Signal Cooldown to prevent repetitive labels during volatile sessions.
Indicador Pine Script®
por Tradedailywithseb
SuperTrend + Multi-MA + CVD ConfluenceThe SuperTrend + Multi-MA + CVD Confluence indicator is a comprehensive trading suite designed to solve the common issue of "false signals" in trend-following strategies. While standard moving average crossovers often fail in sideways or low-volume markets, this script integrates Volume Delta (CVD) and Volatility Filtering to ensure that price momentum is supported by real market conviction. The originality of this script lies in its "triple-filter" approach: Structural Trend: Defined by a customizable Multi-MA crossover. Momentum Confirmation: Provided by the SuperTrend algorithm. Volume Conviction: Validated through Cumulative Volume Delta (CVD) alignment. How It Works Multi-MA Crossover Engine: Traders can choose from six different Moving Average types (SMA, EMA, WMA, SMMA, DEMA, and TEMA). This flexibility allows the script to adapt to different asset classes—for example, using TEMA for fast-paced scalping or SMMA for smoother trend following. CVD (Cumulative Volume Delta) Alignment: Buy and Sell signals are only triggered if the MA crossover aligns with the current Volume Delta momentum. A BUY signal requires the CVD to be rising, indicating that aggressive buyers are in control, while a SELL signal requires a falling CVD. Chop Zone & ATR Filtering: To prevent overtrading, the script uses the ADX (Average Directional Index) to identify "Chop Zones" where the market lacks a clear trend. Additionally, an optional ATR Volatility Filter ensures signals only appear when the market has sufficient range to reach a target. Signal Cooldown: A built-in "Cooldown" setting prevents signal spamming during volatile price action, requiring a minimum number of bars between consecutive trade labels. Multi-Timeframe Dashboard: A theme-aware table provides a high-level view of the trend across 7 different timeframes (1m through 4h), alongside real-time Net Delta, Ask Volume, and Bid Volume metrics for current and previous bars. How to Use It Entries: Look for "BUY" or "SELL" labels. These represent the confluence of the MA crossover, CVD momentum, and volatility. Trend Reference: Use the SuperTrend line as your primary trend guard. If price is above the SuperTrend, look primarily for long confluence; if below, focus on shorts. No-Trade Zones: Avoid taking trades when candles turn Grey, as this indicates a "Chop Zone" where trend-following strategies are likely to be whipsawed. Institutional Pressure: Monitor the Net Delta in the dashboard. Large positive delta alongside a bullish crossover provides the highest probability for a successful trade. Exits: The SuperTrend line or the opposite MA crossover can serve as dynamic exit points or trailing stop-loss guides. Customization Independently Change Colors: You can customize the colors of Bullish/Bearish bars, Chop bars, and signal labels to match your specific chart theme. Dashboard Settings: The table can be resized (Tiny, Small, Normal) and positioned in any corner of the chart. Volatility Tuning: Adjust the ATR and ADX thresholds to tighten or loosen the signal frequency based on the asset's specific volatility profile.
Indicador Pine Script®
por Tradedailywithseb
Supertrend - Volume Confirmed SignalThis indicator combines the classic Supertrend (by Olivier Seban) with a volume confirmation filter. It fires a signal only when two conditions are met on the same candle: the Supertrend has recently changed direction (within a configurable 1-3 bar window) AND the confirming candle closes in the direction of the new trend with volume above its moving average. This significantly reduces false signals compared to standard Supertrend. Developed with the help of Claude AI. No repainting observed. Observations on 60 and 90-min TFs on moderately volatile altcoins (SUI, DOT): signals appear selectively and tend to align with meaningful moves. Not backtested formally — use your own judgment. Always place your SL just beyond the Supertrend line. Default settings: ATR 3, Factor 2, Volume lookback 20. Adjust to your instrument and timeframe. Not financial advice.
Indicador Pine Script®
por philipovitz
Multi-Factor Regime Engine Pro [MarkitTick]💡 This indicator represents a robust framework designed to quantify market regimes by analyzing an array of price action, volatility, and momentum metrics. By synthesizing ten distinct market features into a unified confidence score, it dynamically adjusts its threshold bands, providing a highly adaptive approach to trend identification on any standard chart. ✨ Originality and Utility Standard trend-following tools often rely on static lookback periods and fixed multipliers, which can lead to delayed signals during sudden market shifts or excessive false signals during consolidation. This indicator diverges from traditional methods by introducing a dynamic, feature-engineered confidence score. Instead of relying on a single data point like closing price or standard volatility, it aggregates inputs from momentum oscillators, directional movement indices, volume profiles, and standard deviation bands. This multi-dimensional analysis allows the indicator's bands to compress during high-confidence trends and expand during uncertain, low-confidence environments, offering a highly responsive and adaptive utility for modern chart analysis. Furthermore, it incorporates strict internal safeguards to prohibit execution on non-standard charts, ensuring the integrity of the data and preventing repainting vulnerabilities. 🔬 Methodology and Concepts ● The Feature Engineering Engine The core of this indicator is built upon extracting ten distinct normalized features from the market data, evaluating multiple dimensions of price action simultaneously: Momentum Normalization: Utilizes relative strength metrics, centered and scaled, to gauge underlying momentum bias without relying on absolute thresholds. Directional Strength: Analyzes directional movement indices to quantify the strength of the current trajectory, applying directional penalties when negative movement overpowers positive movement. Moving Average Distances: Measures the current price relative to fast and slow moving averages, standardizing the distance using the Average True Range to identify structural overextension. Rate of Change Standardization: Normalizes the rate of change against its own rolling standard deviation to detect statistical anomalies in speed and acceleration. Standard Deviation Extremes: Evaluates the position of the price relative to upper and lower Bollinger Bands, calculating the precise percentile of the close within the volatility envelope. Volatility Stability: Compares short-term volatility against long-term volatility baselines to measure market stress and detect rapid expansions. Volume Anomalies: Assesses current volume against its simple moving average, clamping the result to identify participation spikes that validate price movement. Price Action Consistency: Calculates the ratio of bullish to bearish closes within the defined lookback period, serving as a raw footprint of buyer versus seller control. ● The Confidence Score Assembly These standardized features are separated into distinct sub-components. A Directional Score identifies the probable path of the trend by weighting momentum and moving average slopes. A Quality Score measures the structural integrity of that trend by analyzing volume participation and volatility stability. These are mathematically combined to produce a Raw Confidence value. This raw output undergoes an adaptive smoothing process using a dynamic moving average, resulting in a highly stable, final Confidence Score bounded precisely between 0% and 100%. ● Adaptive Ratcheting Bands The calculated Confidence Score directly influences the width of the trend bands. When the confidence is high, the internal multiplier decreases, tightening the bands closer to the price action to capture shifts quickly and protect accumulated distance. Conversely, when confidence is low, the bands expand to avoid noise and erratic whipsaws. The bands utilize a state-machine logic that only ratchets in the direction of the trend, acting as a trailing threshold that reacts to both price crosses and sudden regime shifts identified by extreme volatility spikes. 🎨 Visual Guide ● Heatmap Candles The indicator actively repaints the chart candles based on a calculated mathematical "stress" metric. Colors transition dynamically from a baseline trend color (Deep Sky Blue for bullish conditions, Radical Red for bearish conditions) to a bright orange "Regime Alert" color when underlying volatility spikes significantly. Candle body opacity is heavily controlled by the alignment of the price action with the overall trend direction, fading to a darker tone during contrary movements or low-confidence pullbacks. ● ML Supertrend Band Displayed as a prominent, solid line representing the adaptive trailing threshold on the chart. This band is colored Deep Sky Blue during bullish market phases and Radical Red during bearish phases, updating in real-time as the state machine ratchets. ● Confidence Gradient Cloud This visual element fills the spatial gap between the median price baseline and the trailing Supertrend band. The exact opacity and gradient of this cloud are mapped directly to the Confidence Score. A highly opaque, solid cloud represents high confidence, while a highly transparent, fading cloud visually indicates low confidence and potential market transition. ● Visual Labels Small directional visual markers appear directly above or below the price action when a trend flip occurs. These labels display an arrow alongside a precise percentage value, representing the exact calculated Confidence Score at the moment the signal was generated. ● Info Table Located statically in the top right corner, this dashboard displays crucial real-time internal metrics. It includes the current trend direction, a visual text-based progress bar for the Confidence Score, the live Adaptive Multiplier value adjusting in real-time, the selected Model configuration, and a dynamic text alert that triggers during active Regime Shifts. 📖 How to Use ● Trend Identification Observe the dominant color of the ML Supertrend Band and the Confidence Gradient Cloud. Deep Sky Blue strongly indicates a bullish environment, while Radical Red suggests a bearish environment. The visibility and thickness of the cloud serve as your primary visual gauge of the trend's structural health. ● Interpreting the Confidence Metric Monitor the Confidence Score inside the Info Table or at signal generation. A high percentage (e.g., above 70%) suggests that multiple underlying market factors (volume, momentum, standard deviation) are in full agreement with the current directional bias. A rapidly dropping confidence score often precedes a period of choppy consolidation or warns of a potential reversal, allowing for tighter risk parameters. ● Reading Heatmap Candles for Shifts When the standard colored candles begin transitioning toward the bright orange Regime Alert color, it indicates an abnormal spike in volatility combined with a directional momentum shift. This visually warns the user of a potential "Regime Shift" where the market is undergoing severe internal stress. These specific visual cues often signal an impending breakout from a range or a violent capitulation event. ⚙️ Inputs and Settings ● Model Configuration Strategic Cycle Mode: Allows the choice between an "Auto" mode and a "Custom" mode. Auto mode dynamically selects the most mathematically optimal lookback lengths, thresholds, and weighting coefficients based purely on the current timeframe in seconds. Strategic Cycle: When in custom mode, this determines the core lookback period for all volatility and momentum calculations. Smaller values drastically increase reactivity, while larger values provide smoother, long-term macroeconomic analysis. Macro Trend Threshold: Sets the baseline mathematical width of the threshold bands. Higher values require significantly larger price movements to trigger a trend flip, reducing noise. Prediction Weight: Controls the internal sensitivity of the bands to rapid changes in the Confidence Score, determining how aggressively the bands compress. ● Visual Settings & Colors Dedicated toggles are provided to enable or disable the Confidence Labels, the Info Table, and the Heatmap Candles to keep the chart interface as clean as desired. All core graphical colors, including the specific bands, gradient clouds, table text, and alert highlights, are fully customizable by the user via hex selection. ● Webhook Settings The indicator is pre-configured to output detailed, formatted JSON payloads designed for external execution automation. Users can securely define specific action strings for entering and closing both long and short positions directly within the settings menu, mapping exactly to their webhook parser logic. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Multi-Variate Feature Standardization The mathematical foundation of this tool relies heavily on statistical normalization techniques designed to process heterogeneous data. Financial time series data is notoriously non-stationary and spans vastly different numerical scales. To effectively combine disparate metrics like Volume (often measured in millions) and relative strength oscillators (strictly bounded between 0 and 100), the indicator employs rigorous Min-Max scaling and localized Z-score approximations. For instance, the rate of change is evaluated against its own rolling standard deviation over a defined period, successfully standardizing the momentum readout into a continuous, comparable spectrum bounded cleanly between -1.0 and 1.0. ● Linear Weighted Ensembles The internal architecture utilizes a deterministic linear weighted model to synthesize the final output. By assigning highly specific fractional coefficients to directional features (like the exponential moving average slope and relative strength) and structural features (like Bollinger Band width extremes and volatility stability), the script constructs a singular composite index. This mirrors standard ensemble methodologies found in data science, where the consensus of multiple independent weak learners generates a stronger, more reliable predictive metric than any single indicator could achieve in isolation. ● Volatility-Adjusted State Machines The adaptive threshold logic operates as a strict finite-state machine incorporating the Average True Range metric. The specific mathematical innovation lies in rendering the ATR multiplier as an inverse linear function of the composite confidence index. In quantitative terms, this produces a dynamically dampened volatility envelope. When the composite index approaches a maximum value indicating high convergence, the dampening factor aggressively compresses the envelope, mathematically acknowledging that high-conviction trends exhibit less erratic mean-reversion behavior and therefore require drastically tighter invalidation levels to preserve structural alpha. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Indicador Pine Script®
por MarkitTick
Obsidian Trend Relay [JOAT]Obsidian Trend Relay Introduction Obsidian Trend Relay is an open-source multi-timeframe trend and risk-ladder indicator. It combines zero-lag EMA logic, SuperTrend, an EMA ribbon, three higher-timeframe confirmation votes, prediction threshold rails, proximity warnings, candle coloring, risk ladder boxes, right-side price labels, and a top-right dashboard. The script is built for users who want a directional trend context layer with structured visual planning. It does not claim to forecast price. Instead, it shows when local trend, ribbon structure, SuperTrend, and higher-timeframe votes align or conflict. Core Concepts 1. Zero-Lag EMA Core The zero-lag component reduces the smoothing delay of a standard EMA by comparing the first EMA against a second smoothing pass. This creates a responsive trend anchor used for reclaim and rejection logic. // Conceptual summary // zlema = 2 * ema(source, length) - ema(ema(source, length), length) 2. SuperTrend and EMA Ribbon SuperTrend provides an ATR-based directional rail. The EMA ribbon checks whether fast, mid, slow, and base averages are stacked in directional order. Both must be read together with the zero-lag line. 3. Multi-Timeframe Relay Votes Three higher-timeframe checks compare zero-lag and EMA structure using request.security() with lookahead off. The dashboard displays each vote and the total confluence score. 4. Prediction and Proximity Rails The prediction engine creates upper/lower threshold rails around the trend anchor. Proximity warnings identify when price is near a key transition rail and may be close to a directional decision point. 5. Risk Ladder When a relay signal appears, the script can draw a reward box, risk box, warning zone, entry, stop, and T1/T2/T3 rails. These are visual planning tools only. Features Zero-lag trend anchor: Responsive baseline for reclaim and rejection context SuperTrend filter: ATR-based directional rail EMA ribbon: Visual trend stack using multiple moving averages Three HTF votes: Higher-timeframe confluence with lookahead off Prediction rails: Upper/lower threshold bands around the zero-lag engine Proximity warning: Highlights price near key trend rails Risk ladder boxes: Draws risk, warning, reward, entry, stop, and T1/T2/T3 levels Gradient candle tinting: Colors candles from confluence and trend state Top-right dashboard: Shows local trend, ribbon, HTF votes, prediction, proximity, and ladder state Confirmed-bar logic: Relay and ladder events use confirmed bars Input Parameters Trend Engine: Source Zero Lag Length SuperTrend ATR Length SuperTrend Factor Ribbon Fast, Mid, Slow, and Base lengths MTF and Risk: Higher Timeframe 1, 2, and 3 Minimum Confluence Votes Stop ATR Mult Target ATR Mult Show Risk Ladder How to Use This Indicator Step 1: Check confluence Use the dashboard to see whether the local trend and higher timeframes agree. Step 2: Read the ribbon A clean stacked ribbon provides stronger trend context than a mixed ribbon. Step 3: Watch proximity rails Proximity warnings indicate price is near a transition threshold. Step 4: Treat the ladder as a visual plan The risk ladder maps possible risk and reward levels, but it does not execute trades or ensure outcomes. Indicator Limitations Higher-timeframe values can update during an unfinished higher-timeframe candle Trend tools can lag during sharp reversals Risk ladder levels are visual only Sideways markets may generate mixed confluence readings Originality Statement Obsidian Trend Relay combines zero-lag trend anchoring, SuperTrend, EMA ribbon stacking, three higher-timeframe votes, prediction thresholds, proximity warnings, and managed risk ladders into one open-source Pine v6 trend relay. Its purpose is to organize trend alignment and risk visualization in one coherent chart layer. Disclaimer This script is for educational and informational use only. It is not financial advice or a promise of future results. Always use independent judgment and risk management. -Made with passion by jackofalltrades
Indicador Pine Script®
por officialjackofalltrades
MTF Market State DashboardA multi-timeframe market context dashboard designed to classify market conditions using three independent analytical layers: Trend direction, Trend strength and Participation / Volume flow Instead of relying on a single indicator or isolated signal, this script combines multiple forms of market information into a structured decision framework intended to help traders evaluate the quality and maturity of a market condition. The goal of the dashboard is not to predict tops or bottoms, but to help identify: • aligned market conditions • conflicting conditions • strengthening trends • weakening trends • and low-conviction environments Core Idea Behind The Script Many indicators work well in certain environments and poorly in others. For example: • Trend indicators may continue showing bullish conditions during weakening momentum. • Momentum indicators may react aggressively inside consolidations. • Volume indicators may show temporary spikes without broader trend confirmation. This script was built to reduce that fragmentation by separating market behavior into three independent layers: 1. Direction Defines where the market is currently biased. 2. Strength Measures whether the move has enough momentum to sustain itself. 3. Participation Evaluates whether price movement is supported by broader volume-flow behavior. The dashboard then combines these layers into a unified market-state classification system. What The Dashboard Tracks 1. Trend Structure Layer The script evaluates directional bias using: EMA 200 Used as the higher-level directional filter. Typical interpretation: • Price above EMA 200 → bullish macro bias • Price below EMA 200 → bearish macro bias EMA 50 Tracks intermediate trend behavior and shorter-term structural changes. Supertrend Used as a dynamic trend confirmation layer. Unlike a static moving average, the Supertrend adapts to volatility and helps identify directional transitions more quickly. Each trend component is displayed as: • BULL • BEAR along with an “age” value showing how many bars have passed since the last state change. This allows traders to distinguish between: • fresh transitions • mature trends • and potentially exhausted conditions 2. Trend Strength Layer ADX (via DMI) ADX is used to measure trend strength, not trend direction. Typical interpretation: • Low ADX → weak or ranging environment • Rising / high ADX → stronger directional environment This distinction matters because bullish conditions inside weak trend environments often behave differently from bullish conditions inside expanding trends. The script uses ADX as a confirmation filter inside the Market State logic. 3. Participation & Volume-Flow Layer This layer attempts to measure whether directional movement is being supported by participation and flow behavior. CMF (Chaikin Money Flow) CMF estimates buying versus selling pressure by evaluating closing location relative to range and volume. General interpretation: • Positive CMF → accumulation pressure • Negative CMF → distribution pressure CDV (Cumulative Delta Volume Proxy) Pine Script does not provide true bid/ask delta data. This script therefore uses a candle-based directional volume proxy to estimate cumulative directional participation. The CDV layer classifies conditions as: • Rising • Falling • Neutral Adaptive filtering is included to reduce minor fluctuations and noise. OBV Breakout Detection The script also evaluates whether On-Balance Volume is breaking above or below recent ranges. This is used to identify: • expanding participation • weakening participation • or neutral flow conditions The OBV component is not intended as a standalone signal generator, but rather as an additional confirmation layer inside the broader market-state framework. Market State Classification One of the main purposes of the script is to convert multiple independent readings into a simplified market-state output. The dashboard derives a “Market State” by combining: • Trend direction • Trend strength • Participation / flow confirmation Possible classifications include: • Strong Bull Context • Bull Context • Mixed / Wait • Bear Context • Strong Bear Context The classification is not predictive and should not be interpreted as financial advice. Instead, it is intended to provide a structured summary of current market conditions. How Market State Is Derived The logic combines three internal scoring groups: Trend Score Built from: • EMA 200 state • EMA 50 state • Supertrend state Participation Score Built from: • CMF bias • CDV direction • OBV breakout state Strength Filter Built from: • ADX threshold validation Example: • bullish trend structure • bullish participation • and strong ADX → may classify as “Strong Bull Context” Whereas: • bullish trend structure • weak participation • and weak ADX → may classify as “Mixed / Wait” This allows the dashboard to identify agreement and disagreement between independent analytical layers. Multi-Timeframe Logic The script supports: • single timeframe mode • dual timeframe mode Typical usage example: • Lower timeframe → execution context • Higher timeframe → broader directional context This allows traders to compare: • local conditions • against higher timeframe structure without switching charts repeatedly. Age Tracking Each directional state includes an “age” measurement representing the number of bars since the last directional transition. This is included because newer transitions and older trends may behave differently. Example: • Low age → newer condition • High age → more mature condition The script does not assume older trends will reverse, but age can provide additional context about trend maturity. Practical Interpretation Example: Higher-Conviction Bullish Environment Possible characteristics: • EMA structure bullish • Supertrend bullish • ADX elevated • CMF positive • CDV rising • OBV breakout bullish This may indicate alignment between: • trend • momentum • and participation Example: Mixed Environment Possible characteristics: • bullish EMA structure • falling CDV • weak ADX • neutral OBV behavior This may indicate: • weakening momentum • transition behavior • or lower-conviction conditions Intended Usage The script is designed as: • a context tool • a filtering framework • and a market-state dashboard It is not intended to replace: • risk management • execution models • or broader trading plans The dashboard is generally most useful when combined with: • breakout systems • pullback systems • trend-following models • or discretionary execution methods Customization Options The script includes: • 1TF / 2TF modes • configurable EMA lengths • Supertrend settings • ADX threshold controls • CDV sensitivity adjustment • OBV breakout lookback settings • Table themes • Text sizing • Dashboard positioning Notes • CDV uses a candle-based proxy because true bid/ask delta data is unavailable in Pine Script. • The dashboard focuses on contextual interpretation rather than direct entry signals. • The Market State classification is derived from internal scoring logic and should be interpreted as a contextual summary, not a prediction engine. Summary This dashboard was designed to organize multiple forms of market information into a single structured framework. Rather than treating trend, momentum, and participation separately, the script attempts to evaluate how they interact with each other across one or more timeframes. The result is a compact market-context tool intended to help traders: • identify alignment • recognize conflict • filter weaker conditions • and evaluate overall market structure more efficiently.
Indicador Pine Script®
por ScriptoPro
Supertrend Extensions [BOSWaves]Supertrend Extensions - Trend Flip Extension Mapping with Volume-Captured Deviation Level Progression Overview Supertrend Extensions is a trend extension mapping system that projects a structured set of deviation levels from each trend flip, where level spacing, crossing detection, and volume capture behavior are driven by the instrument's average range rather than fixed price distances, creating a dynamic extension framework that scales to any instrument or timeframe and records participation data at each milestone as price progresses through the projected levels. Instead of treating a trend flip as simply a directional signal, each flip generates an immediate sequence of extension levels projected from the flip price in the new trend direction. These levels serve as structured targets and monitoring points throughout the developing move. When price crosses each level, it converts from a numbered solid line to a dashed reference displaying the crossing bar's volume, building a running record of participation quality at each stage of the trend's extension. This creates a framework that transforms every trend flip into the origin point of a fully mapped extension sequence. The Supertrend band provides the directional anchor that triggers and validates each new projection set, while the deviation levels and their volume capture layer provide the structural and participatory intelligence needed to monitor how the trend is developing from flip through to full extension. Price is therefore tracked not just for direction but for progression through a volatility-calibrated extension map where participation at each crossing reveals whether the move is being driven by conviction or fading with each successive level. Conceptual Framework Supertrend Extensions is founded on the principle that the most valuable information in a trending market is not just the direction of the trend but how price is progressing through extension space from the structural origin, and whether participation at each extension milestone is confirming or undermining the case for further progression. Standard trend indicators identify direction and provide a trailing band but offer no framework for understanding extension behavior or monitoring participation quality as price moves away from the flip. This framework addresses that gap by treating each trend flip as the start of a measurable extension sequence, projecting levels at range-calibrated distances and capturing volume data as each level is crossed to build a continuously updating picture of trend health from origin to target. Three core principles guide the design: Each trend flip should immediately generate a structured extension map anchored to the flip price, providing a pre-calculated sequence of levels that serve as targets and monitoring points without requiring manual analysis. Deviation level spacing should adapt to the instrument's actual average range, ensuring levels are meaningfully spaced relative to how the instrument typically moves rather than applying identical distances across all markets and timeframes. Volume participation at each level crossing should be captured and permanently displayed, providing an objective record of whether price is moving through each extension milestone on strong or deteriorating participation. This shifts trend analysis from directional signal monitoring into active extension progression tracking with volume evidence accumulated at every structural milestone. Theoretical Foundation The indicator combines a Supertrend band as the directional trigger, SMA-averaged range-derived deviation spacing for extension level placement, an array-managed line and label object system for level lifecycle management, and volume standard deviation normalization for candle color intensity. Deviation level distances are derived from the 100-bar SMA of the high-low range multiplied by the configured deviation size, producing spacing that reflects the instrument's typical bar-level price movement and scales automatically as volatility expands or contracts between trend cycles. The array-managed line and label system clears all existing levels on each flip and projects a fresh numbered set, extending each line rightward until price crosses it or the next flip resets the map. Volume normalization divides raw volume by its rolling standard deviation to produce a score that drives candle color intensity relative to recent participation history rather than absolute values. Four internal systems operate in tandem: Deviation Level Projection System : On each trend flip, clears all existing deviation lines and labels and projects a fresh numbered sequence at average range-scaled intervals from the flip price in the new trend direction. Level Extension and Crossing Engine : Extends each active deviation line rightward on every bar and monitors for price crossings in the trend direction, converting crossed levels to dashed references and replacing the level number label with the crossing bar's formatted volume. Supertrend Band Engine : Provides the directional anchor that triggers each new projection set, maintaining trailing upper and lower bands that define current trend state and flip conditions. Volume Intensity Candle System : Normalizes volume against its rolling standard deviation and maps the resulting score to a color gradient between a muted and fully saturated version of the trend color, communicating participation strength on every bar. This design ensures that every trend flip immediately produces a complete extension framework, level crossings accumulate a volume evidence trail, and candle coloring provides continuous participation context throughout the trend's development. How It Works Supertrend Extensions evaluates price through a sequence of extension-aware and participation-monitoring processes: Trend Flip Detection : The Supertrend band registers a flip when price closes through the opposing trailing band, triggering both the signal label and the deviation level projection sequence. Deviation Distance Calculation : The 100-bar SMA of the high-low range is multiplied by the configured deviation size to produce the spacing distance between consecutive deviation levels for the new trend cycle. Level Projection on Flip : All existing deviation lines and labels are deleted and a fresh numbered set is projected from the flip bar's close, with each level placed at a sequential multiple of the deviation distance in the new trend direction. Level Extension : On each bar following the flip, all active deviation lines extend their right endpoint to the current bar, maintaining continuous horizontal reference lines across the developing trend. Crossing Detection : Each active level is tested for price crossing on every bar, with bar highs tested against bullish levels and bar lows tested against bearish levels to identify genuine price contact with each extension milestone. Volume Capture on Crossing : When a level is crossed, its line converts to dashed style with a dimmed color and the label text replaces the sequential number with the crossing bar's volume formatted for readability, permanently recording participation at that extension point. Volume Intensity Candle Coloring : Each bar's volume is divided by its 200-bar rolling standard deviation to produce a normalized score capped at four, which maps to a color gradient from muted transparency at low participation to full trend color saturation at peak volume. Signal Label Placement : Bullish flips produce a triangle-up label with the flip price below the Supertrend line and bearish flips produce a triangle-down label with the flip price above, anchoring each new extension map to its precise origin price. Together, these elements form a continuously updating extension monitoring system where flip events generate structured projection maps, level crossings accumulate volume evidence, and candle intensity communicates participation strength throughout every stage of the trend. Interpretation Supertrend Extensions should be interpreted as a trend extension progression system with volume participation captured at each structural milestone: Bullish Trend State (Green) : Active when price has closed above the trailing upper band, with deviation levels projected upward from the flip price as sequential bullish extension targets. Bearish Trend State (Red) : Active when price has closed below the trailing lower band, with deviation levels projected downward from the flip price as sequential bearish extension targets. Deviation Levels (Solid, Numbered) : Uncrossed extension levels projected from the most recent flip price, numbered sequentially from one outward in the trend direction, representing the structured target sequence for the current trend cycle. Deviation Levels (Dashed, Volume Labeled) : Levels that have been crossed by price, converted to dashed style and displaying the crossing bar's volume rather than the level number. These form a permanent record of participation quality at each extension milestone already reached. Volume Labels on Crossed Levels : Volume readings at crossed levels reveal whether price moved through each extension point on meaningful participation or on thin activity, providing an accumulated evidence trail for assessing trend conviction across the full extension sequence. Supertrend Line : The solid colored band line provides the active trailing support or resistance reference for the current trend, serving as the invalidation boundary for the current directional state and the trigger for each new deviation level projection cycle. Trend Fill : Gradient fill between the Supertrend line and the bar midpoint provides a continuous visual representation of the gap between price and the structural boundary. ▲ / ▼ Flip Signals : Triangle labels displaying the flip price mark each trend change origin, providing a clean visual anchor that corresponds to the starting point of the current deviation level projection set. Volume Intensity Candles : Optional candle coloring brightens with above-average participation and fades toward a muted version of the trend color on low-volume bars, providing bar-level conviction readings without leaving the price chart. Deviation level progression, volume at crossed levels, and candle intensity collectively provide more information than trend direction alone. Signal Logic & Visual Cues Supertrend Extensions presents two primary trend transition signals alongside continuous extension level monitoring: Bullish Flip (▲) : Triggered when price closes above the trailing upper band, displaying the flip price below the bar and projecting a fresh set of upward deviation levels from the flip price. Bearish Flip (▼) : Triggered when price closes below the trailing lower band, displaying the flip price above the bar and projecting a fresh set of downward deviation levels from the flip price. Deviation level crossings provide continuous secondary context throughout each trend cycle, converting each extension milestone into a volume-stamped reference that builds a participation evidence log from flip to target. Alert generation covers bullish and bearish trend flips for systematic trend monitoring and notification workflows. Strategy Integration Supertrend Extensions fits within structured extension target and trend progression monitoring approaches: Deviation Level Target Sequencing : Use the projected deviation levels as a staged exit framework, planning partial position reductions at each sequential level rather than targeting a single fixed price, allowing structured progression management calibrated to each trend's specific origin and volatility context. Volume Confirmation at Levels : Monitor the volume displayed when deviation levels are crossed to assess participation quality at each extension stage. Sustained or increasing volume at successive crossings supports further progression, while declining volume at each level warns of weakening extension commitment. Flip-Based Trend Entries : Use Supertrend flip signals as primary trend initiation triggers, with the immediately projected deviation levels providing an instant target framework from the moment of entry. Supertrend Band Pullback Reference : Use the Supertrend line as a dynamic pullback reference within established trends, monitoring candle volume intensity on band retests for participation evidence supporting continuation rather than breakdown. Deviation Size Calibration by Timeframe : Adjust the deviation size multiplier to match the instrument's typical trend range at the target timeframe, ensuring the extension map spans a realistic distance relative to expected directional movement. Multi-Timeframe Extension Alignment : Apply higher-timeframe Supertrend state as a directional bias filter, engaging with lower-timeframe extension level sequences only when they align with the established higher-timeframe trend direction. Technical Implementation Details Deviation System : 100-bar SMA of high-low range scaled by configurable deviation size multiplier with configurable level count Level Lifecycle : Array-managed line and label objects cleared on each flip, extended rightward each bar, and converted to dashed references with volume labels on crossing Supertrend Engine : ATR-scaled trailing band with configurable multiplier and length as directional anchor and flip trigger Volume Normalization : 200-bar standard deviation-based scoring mapped to candle color gradient intensity Visualization : Solid and dashed deviation levels with volume labels, Supertrend line with trend fill, flip signal labels, and volume-intensity candle coloring Signal Logic : Band crossover state-switch detection with independent bullish and bearish flip conditions Performance Profile : Optimized for real-time execution with array-based object management and max_bars_back configuration supporting deep historical calculation Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday extension mapping for scalping with tighter deviation spacing and lower level count for fast-moving target sequences 15 - 60 min : Session-level extension progression with balanced deviation size and moderate level count for structured intraday target management 4H - Daily : Swing-level extension mapping with wider deviation spacing and higher level count reflecting larger price swings between flip events Suggested Baseline Configuration: ATR Multiplier : 5.0 ATR Length : 14 Deviation Size : 2.7 Deviation Count : 4 Show Signals : Enabled Color Candles : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's typical extension range, average bar size, and preferred level density, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Deviation levels too close together : Increase Deviation Size to spread levels further apart relative to the average bar range, producing a wider extension map that better reflects the instrument's typical trend range at the target timeframe. Deviation levels too far apart : Decrease Deviation Size toward 1.0 to tighten level spacing, producing more granular extension targets suited to lower timeframes or lower-volatility instruments. Too many levels cluttering the chart : Reduce Deviation Count to limit projected levels to the nearest and most actionable targets, focusing the extension map on realistic near-term progression milestones. Too few levels to cover the typical trend range : Increase Deviation Count up to the maximum of six to extend the projection sequence further, covering a wider range of potential extension targets for instruments with larger typical trending moves. Too many trend flips resetting the extension map : Increase the ATR Multiplier to widen the Supertrend band and require more significant price displacement before a flip resets the deviation level sequence. Trend flips too slow to capture structural changes : Decrease the ATR Multiplier toward 2.0 for a more responsive band that generates fresh extension maps closer to actual structural shifts in price direction. Candle coloring too uniform : The volume intensity gradient operates on a standard deviation basis. On instruments with very consistent volume distribution the gradient range may appear compressed, which is expected and reflects genuinely low variation in participation levels. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with sustained directional moves where deviation levels are reached sequentially and volume at each crossing provides meaningful progression confirmation Instruments with consistent average range behavior where deviation spacing calibrates reliably to the instrument's typical bar-level price movement across different trend cycles Structured target-based approaches where the deviation level sequence provides a systematic exit framework calibrated to each trend's specific origin and volatility context Multi-timeframe workflows where higher-timeframe trend direction filters lower-timeframe flip signals for directional alignment with the broader trend Reduced Effectiveness: Choppy, range-bound markets where frequent trend flips reset the extension map before price reaches the first deviation level, preventing a useful progression sequence from developing Extremely volatile instruments where large individual bars cause the average range to spike, producing deviation spacing that overstates typical extension potential for subsequent trend cycles Low-volume instruments where the standard deviation-based candle coloring loses discriminative power due to irregular or thin volume distribution News-driven or gap-heavy markets where trend flips occur on discontinuous price action that distorts the average range calculation and misaligns deviation level placement relative to actual structural extension potential Consolidation environments where price oscillates near the Supertrend band without establishing the sustained directional movement required for sequential deviation level progression Integration Guidelines Confluence : Combine with BOSWaves momentum tools, order flow analysis, or market structure indicators to validate trend flip signals and assess the broader analytical context before committing to deviation level target sequences Volume Label Monitoring : Review volume labels on crossed deviation levels as a running confirmation log for the trend. Declining volume at successive levels suggests weakening extension commitment and warrants caution about remaining target progression. Deviation Level Respect : Treat uncrossed deviation levels as active areas of potential price reaction rather than guaranteed targets. Monitoring candle behavior and volume intensity as price approaches each level provides early indication of whether the level will be crossed or act as a reversal point. Extension Map Freshness : Recognize that deviation levels are anchored to the most recent flip price and reflect the volatility conditions at that specific origin point. As time passes within a trend cycle, reassess whether the projected levels remain relevant to current market conditions. State Discipline : Maintain directional bias aligned with the current Supertrend state until a confirmed flip occurs. Temporary pullbacks toward the active band that do not close through it do not constitute trend changes and should not trigger premature exits from active extension target sequences. Disclaimer Supertrend Extensions is a professional-grade trend extension mapping and volume participation tracking tool. It uses range-calibrated deviation level projection with volume capture at each crossing but does not predict future price movements. Results depend on market conditions, instrument volatility characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, order flow analysis, and comprehensive risk management.
Indicador Pine Script®
por BOSWaves
1
Adaptive Trend Intelligence + SMC + RVOL + ML - FloAlgoThis indicator combines an Adaptive SuperTrend with Smart Money Concepts (SMC) market structure, Relative Volume (RVOL) filtering, and an online Machine Learning model to produce high-confidence trend-following signals. How It Works Adaptive SuperTrend — A SuperTrend band whose ATR multiplier scales automatically based on the short/long volatility ratio. In quiet markets the band tightens; in expansions it widens. An optional noise filter requires price to hold on the new side for N bars before a flip is accepted, eliminating whipsaws. SMC Market Structure Engine — Uses a Stochastic Momentum Oscillator to detect overbought/oversold pivots and build an alternating High/Low swing chain. From those swings it tracks Dow-Theory labels (HH, HL, LH, LL), draws a zigzag, plots S/R zones, and detects BOS (Break of Structure) when price closes beyond the previous major swing confirming trend continuation, and CHoCH (Change of Character) when price closes beyond the prior opposing major swing signaling a trend flip. Both events require an established trend direction and fire only against the correct structural level, preventing false signals on internal corrections. RVOL Filter — Computes directional buy/sell volume from candle structure and ranks it against a rolling percentile. Signals are suppressed unless the directional volume percentile clears a configurable threshold, keeping entries to high-participation moves only. Online ML Model — A logistic regression model with L2 regularisation trained incrementally on every confirmed SuperTrend flip. It learns 17 features per signal including candle shape, volume, momentum, ATR slope, RSI, Bollinger position, RVOL, and SMC bias, then resolves each trade when the next flip occurs. Probability is displayed in the info table and can gate signals via a minimum confidence threshold. Visual Elements SuperTrend line with bull/bear fill ▲ / ▼ signal arrows and labels BOS / CHoCH labels at structure breaks HH / HL / LH / LL Dow labels at each pivot Zigzag lines connecting momentum pivots S/R zone boxes, colour-coded and fading on break Info table showing Signal, Trend, ML Confidence, RVOL, Momentum, Volatility, Quality, MS Bias, and last Structure event Key Settings ATR Length — lookback for ATR calculation ATR Multiplier — base band width Adaptive Multiplier — auto-scales multiplier with volatility ratio Noise Filter (bars) — bars price must hold before flip is confirmed RVOL Lookback — rolling window for volume percentile ranking RVOL Min Percentile % — minimum directional volume percentile to allow a signal Min ML Probability % — minimum ML model confidence to allow a signal Stochastic Length — sensitivity of the momentum pivot oscillator Overbought / Oversold — stochastic zone thresholds for pivot detection Filter Signals by MS — gate signals to align with SMC trend direction Max S/R Zones per Side — maximum supply/demand boxes kept on chart
Indicador Pine Script®
por FloAlgo
Contrarian Level Strength PRO Contrarian Level Strength PRO is a discretionary trading assistant designed to analyze how price approaches manually defined support and resistance levels. The indicator focuses on the structure, strength and context of price movement before the level is reached, helping traders evaluate whether a contrarian reaction is statistically more favorable or whether momentum is strong enough to avoid fading the move. The script does not generate automatic buy/sell signals. Instead, it provides contextual information intended to support discretionary execution. Core concepts used internally: * ATR-based volatility normalization * Relative arrival speed calculation * Volume expansion and contraction analysis * Compression and overextension filters * Liquidity sweep detection * False breakout recognition * Multi-timeframe EMA directional context * Supertrend filtering * Historical level quality analysis * Contrarian probability scoring Main features: * Multi-symbol manual level profiles * Weighted support/resistance levels * Arrival strength score from 1 to 100 * Long vs Short probability estimation * Liquidity sweep detection * Fake breakout analysis * ATR-based target and stop projections * Technical trade management assistance * Level invalidation logic * Temporary contextual labels * Dashboard with statistical tracking * Supertrend directional filter * Multi-timeframe directional bias Typical interpretation: * Low arrival strength + rejection/sweep = possible contrarian opportunity * Strong breakout momentum = avoid fading the move * Fresh levels generally provide higher reaction probability than heavily tested levels The indicator is designed for traders using discretionary price action and liquidity-based execution models rather than fully automated systems. Why manual levels? The script intentionally uses trader-defined levels because many institutional liquidity reactions occur around discretionary market structure areas that are difficult to standardize algorithmically. English translation of interface labels: * “Forza arrivo” = Arrival strength * “Livello attivo” = Active level * “Probabilità” = Probability * “Qualità livello” = Level quality * “Pre-avviso” = Pre-alert * “Stato trade” = Trade status * “Proteggi trade” = Protect trade * “Livello invalidato” = Level invalidated Recommended usage: * Define important support/resistance zones manually * Wait for price approach * Evaluate arrival strength and reaction quality * Avoid fading extremely strong momentum * Use confirmation logic before execution This script is intended as a decision-support tool and should not be considered financial advice.
Indicador Pine Script®
por marinobortoluzzi
1
SuperTrend Logistic Regression | Flux ChartsGENERAL OVERVIEW The SuperTrend Logistic Regression indicator combines the classic SuperTrend trend-following tool with a self-training logistic regression model that assigns a probability percentage to every SuperTrend flip. Each time the SuperTrend changes direction, the indicator evaluates the market conditions at the flip across 14 features spanning candle structure, trend context, and technical indicators, then outputs a probability score between 0% and 100% representing how similar the current setup is to past flips that resolved profitably on the same chart. The model trains itself in real time using past SuperTrend signals as labeled examples. Each historical flip becomes a training example: the features captured at the flip are paired with the outcome at the next opposite flip, producing a continuously growing dataset that the model uses to refine its weights. The probability displayed on each new flip reflects what the model has learned about this specific instrument and timeframe, not a universal assumption about what makes a good signal. screenshot: Full chart showing SuperTrend line with multiple flips and probability labels 🔹What is the purpose of the indicator? The indicator addresses a common problem with SuperTrend: not every flip leads to a sustained trend. Many flips occur during choppy or transitional conditions and reverse quickly, producing losing signals. By scoring each flip with a probability, traders get a quantitative sense of how much confidence the model has in that specific signal based on similar past setups. The indicator does not change the SuperTrend calculation itself, so every flip is still detected and visualized. The probability score adds a filtering layer that helps traders separate high-confidence flips from low-confidence ones. 🔹What is the theory behind the indicator? The indicator is built on the idea that market behavior around trend reversals is not random. Certain combinations of candle structure, volatility conditions, volume patterns, and prior trend context tend to precede trends that follow through, while different combinations tend to precede trends that reverse quickly. Logistic regression is a statistical method well-suited to learning these relationships. Given a set of input features and historical outcomes, it produces a set of weights that map feature combinations to probability estimates. In this indicator, each SuperTrend flip becomes a data point. The features at the flip are recorded, and the outcome is determined at the next opposite flip. If price moved in the signal's direction (higher for bull, lower for bear), the signal is labeled as a win. Otherwise, it is labeled as a loss. The model continuously retrains on this growing dataset, adjusting weights so that feature patterns historically associated with wins produce higher probabilities, and feature patterns associated with losses produce lower probabilities. SUPERTREND LOGISTIC REGRESSION FEATURES SuperTrend Core Logistic Regression Model Candle Features Trend Context Features Technical Features Separate Bull and Bear Models Exponential Decay Weighting Minimum Sample Gating Probability Labels and Filtering Gradient-Colored SuperTrend Visualization Optional Momentum Dots Alerts SUPERTREND CORE The SuperTrend is the foundation of every signal. All detection, training, and prediction is tied to SuperTrend flips. The core SuperTrend calculation in this indicator is standard: ATR multiplied by a user-defined factor produces the trailing line, and a flip occurs when price crosses through the line, changing the direction state. 🔹How SuperTrend is calculated The SuperTrend is derived from Average True Range (ATR) with a user-configurable period and factor. When the calculated line is below price, the indicator is in an uptrend state and the line acts as dynamic support. When the line is above price, the indicator is in a downtrend state and the line acts as dynamic resistance. A flip occurs at the exact bar where price crosses through the line, changing the direction from bullish to bearish or vice versa. 🔹Why SuperTrend was chosen SuperTrend is one of the most widely used trend-following tools on TradingView. It produces clean, deterministic signals with well-understood behavior. Rather than reinventing or modifying the underlying calculation, this indicator treats SuperTrend as a signal source and adds a separate statistical layer on top. This keeps the core behavior familiar to traders already using SuperTrend and ensures that every flip is still detected, regardless of the probability score. 🔹SuperTrend Inputs Two inputs control the SuperTrend calculation: Factor (the ATR multiplier, default 3.0) and ATR Period (the number of bars in the ATR calculation, default 10). These correspond to the standard SuperTrend parameters. Changing these values affects where flips occur, which in turn affects what signals the model trains on. LOGISTIC REGRESSION MODEL Logistic regression is a statistical model that predicts binary outcomes from a set of input features. It takes each feature, multiplies it by a learned weight, sums the results, adds a bias term, and passes the total through a sigmoid function that maps the output to a probability between 0 and 1. The model learns the weights by comparing its predictions against actual outcomes and adjusting through gradient descent. 🔹What is Logistic Regression? Logistic regression works by finding the set of weights that best separates winning signals from losing signals in feature space. A large positive weight on a feature means that higher values of that feature are associated with winning outcomes. A large negative weight means higher values are associated with losing outcomes. A weight near zero means the feature does not discriminate between winners and losers on this chart. The sigmoid function is what turns the weighted sum into a probability. It outputs values near 0 when the weighted sum is very negative, values near 1 when the weighted sum is very positive, and values near 0.5 when the weighted sum is near zero. This gives the output a natural probability interpretation. 🔹How the model is trained Training happens every time a new SuperTrend flip occurs. The indicator looks at all past resolved signals (signals that have already seen their next opposite flip and therefore have a known outcome) and runs gradient descent over them. Gradient descent calculates how much each weight should change to reduce the model's prediction error, then applies those changes iteratively. The indicator runs multiple training epochs on each update to ensure the weights converge reasonably well to the current data. L2 regularization is applied to prevent any single weight from becoming extreme. Weight clipping further constrains weights to a reasonable range, avoiding instability when training data is thin or features are noisy. Together, these make the model more robust on small sample sizes. 🔹Outcome evaluation For training to work, every historical signal needs a win/loss label. The indicator uses flip-to-flip evaluation: a bull signal is considered a win if the close at the next bear flip is higher than the close at the bull flip. A bear signal is considered a win if the close at the next bull flip is lower than the close at the bear flip. This matches the natural lifecycle of a SuperTrend trade, where entry and exit are both on flips. 🔹A Winning Signal Example A winning bull signal forms when a bull flip occurs and, by the time the next bear flip occurs, the close at the bear flip is higher than the close at the bull flip. The probability label on the bull flip reflects the model's confidence at entry, while the outcome is confirmed at the next flip. 🔹A Losing Signal Example A losing signal forms when price fails to move in the signal's direction by the next opposite flip. For example, a bull flip where price immediately reverses and ends lower than entry when the next bear flip occurs. CANDLE FEATURES Candle features describe the shape and volume of the flip candle itself, compared against recent averages. These are the most direct, local features the model uses. All candle features are toggleable in the "Candle Features" input group and are normalized to a range centered at zero, where zero means the feature value matches the recent average. 🔹Body Body measures the size of the flip candle's body (the absolute distance from open to close) relative to the average body size over the recent lookback window. A value above zero means the flip candle had a larger body than recent candles, suggesting stronger conviction. A value below zero means the body was smaller than usual, suggesting indecision. The model learns whether strong-bodied flips tend to produce winning trends on this chart. 🔹Upper Wick Upper Wick measures the length of the upper wick (the distance from the body top to the high) relative to recent average upper wicks. Long upper wicks can indicate rejection at highs, while short upper wicks suggest price accepted the top of the candle cleanly. The model learns how upper wick behavior at flips correlates with outcomes. 🔹Lower Wick Lower Wick measures the length of the lower wick (the distance from the body bottom to the low) relative to recent average lower wicks. Long lower wicks can indicate rejection at lows, while short lower wicks suggest clean acceptance. This feature is disabled by default because it historically showed the weakest predictive signal across tested instruments. 🔹Range Range measures the total high-to-low range of the flip candle relative to the recent average range. A wide-range flip candle indicates volatility expansion, while a tight-range candle suggests contraction. The model learns whether flips during volatility expansion tend to perform differently from flips during contraction. 🔹Volume Volume compares the flip candle's volume to the average volume over the recent lookback window. Higher than average volume at a flip generally indicates stronger participation, while lower than average volume suggests weak conviction. The model learns how volume conviction at flips relates to trend outcomes. 🔹Delta Volume Delta Volume estimates the net buying versus selling pressure within the flip candle by sampling 1-minute lower timeframe bars. The indicator distributes each 1-minute bar's volume to either the bullish or bearish side based on whether that bar closed up or down, then outputs the net direction as a feature value from fully bearish to fully bullish. This gives the model a finer-grained view of what happened inside the flip candle beyond the aggregate close. TREND CONTEXT FEATURES Trend context features describe the market conditions leading into the flip, not just the flip candle itself. These are calculated from the lookback window before the flip. All trend context features are toggleable in the "Trend Features" input group. 🔹Momentum Momentum counts consecutive candle direction leading into the flip. Each bullish candle increments the streak in the positive direction, and each bearish candle increments it in the negative direction. The value is capped so very long streaks do not dominate. A strongly positive momentum value before a bull flip indicates buying was already building; a strongly negative value before a bull flip indicates a sharp reversal from recent selling. The model learns which regime tends to produce better bull outcomes. 🔹Pre-Flip Trend Pre-Flip Trend averages the signed candle bodies (close minus open) over the recent lookback window, normalized by the average range. This gives a broader picture of whether the market was drifting up, drifting down, or chopping sideways before the flip. Unlike momentum, which only counts direction, pre-flip trend captures the magnitude of the directional bias. 🔹ATR Slope ATR Slope compares the current ATR value to the ATR value from the lookback period ago. A positive slope means volatility is expanding into the flip, often associated with stronger follow-through. A negative slope means volatility is contracting, often associated with weaker signals. The model learns whether volatility expansion at the flip is a positive or negative factor for the specific instrument. 🔹Volume Trend Volume Trend compares the average volume of recent bars to the average volume of bars further back. A positive value means participation is increasing; a negative value means it is fading. This feature is disabled by default because it historically showed weak signal across tested instruments. 🔹ST Distance ST Distance measures how far price was from the SuperTrend line before the flip, normalized by ATR. A value near zero means the flip was a tight cross; a larger absolute value means price was well above or below the line and had to travel significantly to trigger the flip. The model learns whether tight crosses or aggressive breaks produce better outcomes. 🔹Trend Duration Trend Duration measures how many bars the previous trend lasted before flipping. Short previous trends might indicate choppy conditions where flips come and go quickly. Longer previous trends might signal genuine exhaustion at reversal. The model learns how previous trend length relates to the success of the current flip. TECHNICAL FEATURES Technical features bring in classic technical indicator readings at the flip point. These are toggleable in the "Technical Features" input group. 🔹RSI RSI (Relative Strength Index) is calculated with the same lookback as the other features and then centered around the 50 level. Values near the oversold end push the feature toward -1, values near the overbought end push it toward +1, and values near 50 are near zero. The model learns whether overbought or oversold RSI readings at flips correlate with different outcomes on the specific chart. On some instruments, flips at extreme RSI readings perform well; on others, they perform poorly. The model discovers this from the data. 🔹BB Position BB Position measures where price sits within Bollinger Bands at the flip. Price at the lower band gives a value of -1, price at the basis gives 0, and price at the upper band gives +1. The Bollinger Bands are calculated with the same lookback as the other features. This feature captures mean-reversion versus breakout context: a flip near the lower band is different from a flip near the upper band, and the model learns which band positions tend to precede successful trends. SEPARATE BULL AND BEAR MODELS The indicator maintains completely independent models for bull signals and bear signals. Each has its own set of weights, its own training dataset, and its own prediction logic. 🔹Why separate models? A single model that assumes features mean opposite things for opposite directions would be an oversimplification. For example, a long lower wick on a bull flip might indicate strong buyer defense, while a long lower wick on a bear flip might indicate weak sellers. These are different setups with different implications, and forcing them into one model with flipped signs would blur the signal. By training separate bull and bear models, the indicator gives each direction room to learn its own relationships. A feature that strongly predicts bull wins might be irrelevant or even negatively correlated for bear wins, and the separate models can capture this without interference. 🔹Implementation Each direction has its own array of signals and its own weights array. When a bull flip occurs, the bull signals array is updated and the bull model is retrained. When a bear flip occurs, the bear signals array and bear model are updated separately. The two models never share state, and their predictions are based only on their own training data. EXPONENTIAL DECAY WEIGHTING Not all training examples are equally relevant. Recent signals reflect current market conditions, while older signals may reflect regimes that no longer apply. The indicator addresses this with exponential decay weighting during training. 🔹How decay works Each resolved signal is assigned a weight based on its age. The newest resolved signal gets the highest weight (1.0 after normalization), and older signals get progressively smaller weights based on a decay factor. A decay factor close to 1 means old and new signals are weighted roughly equally. A decay factor close to 0 means recent signals dominate and old signals are effectively ignored. 🔹Why decay is important Markets change. A feature that strongly predicted wins six months ago might have weak or reversed predictive power now. Without decay weighting, the model would be slow to adapt to new conditions because old data would dilute the influence of recent outcomes. With decay weighting, the model naturally updates its weights to reflect the most recent dynamics while still using historical data to maintain stability. PROBABILITY LABELS AND FILTERING When a new flip passes the minimum sample gate, the indicator calculates the probability from the current feature values and the trained weights. This is displayed as a colored triangle label at the flip bar. 🔹Label Appearance Bull flip labels appear below the bar as upward-pointing green triangles with the probability percentage inside. Bear flip labels appear above the bar as downward-pointing red triangles with the probability percentage inside. The colors are partially transparent so the labels do not obscure price action. 🔹High Probability Example A high probability label means the model found the current flip's features similar to past flips that resolved as wins. For example, a bull flip with strong pre-flip momentum, expanding volatility, positive delta volume, and price well above the SuperTrend line might receive a probability above 65% if those conditions have historically preceded successful bull trends. 🔹Low Probability Example A low probability label means the model found the current flip's features similar to past flips that resolved as losses. Low probability signals might share characteristics with flips that occurred during choppy conditions or weak momentum regimes. 🔹Min Probability Filter A Min Probability input lets users hide labels below a confidence threshold. Setting it to 0 shows every signal. Setting it to 60 only shows labels where the model estimates at least 60% probability of a profitable outcome. This filter only affects visual display and alerts. The SuperTrend line and color change still appear on every flip, and the model still trains on every signal regardless of the filter. 🔹Interpreting the probability The probability represents the model's estimate that the current flip will resolve profitably by the next opposite flip, based on how similar past flips performed. A 70% label does not guarantee a win; it means the model finds this flip's conditions more similar to past winners than past losers. Probabilities should be interpreted relative to the base rate (the overall percentage of past flips that won) rather than as absolute guarantees. VISUAL CUSTOMIZATION The indicator includes several visual elements that help traders see the SuperTrend state and the probability labels clearly. 🔹Gradient-Colored SuperTrend The SuperTrend line is plotted with a color gradient based on how far current price has moved from the line since the most recent flip. The color intensifies as price extends further in the trend direction, giving a visual indication of how developed the trend is at any point. Fills between the body midpoint and the SuperTrend line reinforce this gradient effect. 🔹Momentum Dots An optional momentum dots display overlays circles on the SuperTrend line with colors that shift between yellow and the trend color (green or red) based on price position. This provides a secondary visual cue for trend strength. The Enable Momentum Dots input toggles this display on or off. INPUTS 🔹SuperTrend Factor: ATR multiplier used in the SuperTrend calculation. Default is 3.0. Increasing this value makes the SuperTrend less sensitive and produces fewer, wider flips. Decreasing it makes the SuperTrend more sensitive and produces more frequent flips. ATR Period: Number of bars used in the ATR calculation. Default is 10. Larger periods smooth the ATR, while smaller periods make it more reactive. 🔹Display Enable Momentum Dots: Toggles the momentum dots overlay on the SuperTrend line. Default is on. 🔹Filters Min Probability %: Minimum probability required for a signal label to appear on the chart. Default is 0 (show all signals). Setting this to a higher value hides lower-confidence signals. 🔹Candle Features Body: Enable body size feature. Default is on. Upper Wick: Enable upper wick feature. Default is on. Lower Wick: Enable lower wick feature. Default is off. Range: Enable candle range feature. Default is on. Volume: Enable volume feature. Default is on. Delta Vol: Enable delta volume feature using 1-minute LTF data. Default is on. 🔹Trend Features Momentum: Enable consecutive candle direction feature. Default is on. Pre-Flip Trend: Enable average directional body feature. Default is on. ATR Slope: Enable volatility expansion feature. Default is on. Volume Trend: Enable volume building feature. Default is off. ST Distance: Enable distance from SuperTrend line feature. Default is on. Trend Duration: Enable previous trend length feature. Default is on. 🔹Technical Features RSI: Enable RSI feature. Default is on. BB Position: Enable Bollinger Band position feature. Default is on. ALERTS The indicator includes alert conditions for the following events: Bull Flip: Fires on a confirmed bullish SuperTrend flip that passes the Min Probability filter. Bear Flip: Fires on a confirmed bearish SuperTrend flip that passes the Min Probability filter. Users can configure alerts from the TradingView alerts menu and choose which condition to subscribe to. IMPORTANT NOTES 🔹Non-Repainting Behavior Signals are detected and probability labels are calculated on the bar where the SuperTrend flip confirms. The probability value is based only on feature values at the time of the flip and the model weights as of that bar. The outcome label used for training is only recorded after the next opposite flip has occurred, so the current bar's prediction never uses future data. 🔹Probability Interpretation The probability represents the model's learned estimate from past data on the current chart. It is not a guaranteed win rate. Markets can shift in ways the model has not yet seen, and sample size is always a limitation. Probabilities should be used as one input among many in a trading decision, not as a standalone signal. UNIQUENESS The SuperTrend Logistic Regression indicator takes a distinct approach to SuperTrend enhancement. Rather than altering the SuperTrend calculation itself, it preserves the classic SuperTrend behavior and adds a statistical layer on top that scores each flip independently. Every flip is still detected, so users never miss signals; the probability only determines what gets visually emphasized. The logistic regression implementation uses proper gradient descent with L2 regularization, weight clipping, and exponential decay weighting, making the training process stable and adaptive. Weights persist across bars and are refined with each new resolved signal rather than being recalculated from scratch. Separate bull and bear models learn direction-specific feature relationships independently, avoiding the oversimplification of assuming features have opposite meanings for opposite directions. All 14 features are toggleable, spanning candle structure, trend context, and technical indicators, so users can customize which market characteristics feed into the model. The probability is backed by a concrete, testable definition: the likelihood that the current flip will resolve profitably by the time the next opposite flip occurs, based on how similar past flips performed. This matches how SuperTrend is naturally traded on flip-to-flip cycles. Minimum sample gating ensures that probability labels only appear once the model has enough training data to make meaningful predictions, preventing misleading early signals. Together, these choices make the indicator a disciplined, data-driven extension of SuperTrend that adapts to each instrument and timeframe it runs on, rather than applying a one-size-fits-all scoring system.
Indicador Pine Script®
por fluxchart
CandelaCharts - Killzone Supertrend📝 Overview The CandelaCharts - Killzone Supertrend indicator integrates professional, noise-filtered Supertrend volatility-based trend-following logic within specific intraday sessions. By isolating trend analysis to key Killzones and providing advanced smoothing tools, traders can effectively filter out market noise and identify high-probability trend shifts during periods of peak institutional activity. 📦 Features 5 Customizable Sessions : Tracks trends across Asia, London, NY AM, NY Lunch, and NY PM sessions. Continuous Detection : Unlike standard session indicators that reset, this logic runs continuously in the background. This ensures that the trend state is established accurately before the session begins, eliminating "initialization lag." Full Session Backgrounds : Highlight the entire vertical pane for each session with customizable colors and transparency for maximum focus. Source Smoothing : Smooth the price source (hl2) before calculation to filter out minor whipsaws and reduce false signals in choppy markets. Multi-Method ATR : Choose between RMA, SMA, EMA, or WMA for volatility calculations based on your preferred responsiveness. Visual Signal Markers : Clear Triangle Up/Down markers appear instantly when a trend flip occurs within an active session. Trend Fill : Shaded backgrounds between the Supertrend line and price provide a visual "cushion" to assess trend strength. Dynamic Session Labels : Centered labels that automatically adjust their position based on the session's price range. Session Dividers : Clear vertical dividers to signal the transition between trading periods. ⚙️ Settings ATR Period : Lookback period for the Average True Range calculation (default: 10). Multiplier : Volatility multiplier for the trailing stop (default: 3.0). Source Smoothing : EMA period to smooth price before detection (0 = off). ATR Method : Choose the smoothing method (RMA, SMA, EMA, WMA). Show Signals : Toggle Triangle Up/Down markers for trend changes. Show Trend Fill : Toggle the shaded background between price and Supertrend. Label Size : Customize the text size of session labels. Timezone : Supports America/New_York, UTC, and Exchange time. Divider Style : Style and color settings for vertical lines. Show Session : Toggle the Supertrend logic and markers. Background : Toggle the full vertical pane background color. Session Name & Time : Define labels and time windows. Session Color : Sets the theme for the labels and dividers. Show Labels : Toggle the centered session identifiers. Show Divider : Toggle vertical start/end lines. ⚡️ Showcase Supertrend Lines & Signals Session Boxes & Full Backgrounds 🚨 Alerts Trend changes are visually indicated by line color shifts and Triangle markers (Buy/Sell) within each active session. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Indicador Pine Script®
por CandelaCharts
Conflux 4 | AnonycryptousConflux 4 | Anonycryptous Description & user manual Why this indicator is different Most signal indicators fire on one condition. Price crosses a moving average. RSI hits a level. A candle closes above a line. One condition. One trigger. And because one condition alone is never enough, the signals come constantly — in trends, against trends, in chop, in news spikes — with no filter for whether the setup actually makes sense. Conflux 4 works differently. It does not fire on one condition. It requires four independent filters to agree at the same moment, in the same direction, before anything appears on the chart. Trend, momentum, volatility structure, and trend strength. All four. If one filter disagrees, nothing is drawn. Not a reduced signal. Nothing. The result is an indicator that is quiet most of the time — and deliberate when it speaks. When a signal does appear, Conflux 4 does not just mark a dot and leave you to figure out the rest. It draws a complete trade block automatically: entry, stop, and up to four take profit levels. The stop trails dynamically after the first target is reached, moving to breakeven and continuing from there. The trade is managed visually until it resolves. The dashboard shows the live state of every filter at all times, so you always know why a signal appeared — or why it did not. Important notice Conflux 4 generates signals based on technical filter alignment. These signals are not financial advice. They do not predict the future. They do not guarantee profitability. All trading decisions are made entirely by the user. Always manage your own risk. Always apply your own judgment. 1. Overview Conflux 4 is a four-filter confluence signal indicator. A signal only fires when all four filters align simultaneously in the same direction. When that happens, a complete trade block is drawn including entry, stop, and take profit levels. What it includes: - Four-filter confluence engine: trend, momentum, volatility structure, and trend strength - Four presets: scalp, daytrader, swing, and manual - Three stop modes: Supertrend trailing, ATR cap, and fixed percentage - Automatic trade block with up to four take profit levels - Dynamic trailing stop that activates after TP1 and moves to breakeven - Live dashboard showing the state of every filter in real time - Configurable signal cooldown, bar coloring, and background shading - Alerts for bullish and bearish signal events 2. The four filters A signal is only valid when all four conditions align. 2.1 Trend filter — VWMA and EMA alignment Price must be above the volume weighted moving average and the fast EMA must be above the slow EMA for a bullish signal. Reverse for bearish. This confirms alignment with the prevailing macro trend before anything else is evaluated. 2.2 Momentum filter — RSI threshold RSI must be above the configured bullish threshold (default 55) for long signals, or below the bearish threshold (default 45) for short signals. This filters out setups forming in low-momentum environments where follow-through is less reliable. 2.3 Volatility filter — Supertrend The Supertrend indicator must confirm the same direction as the trend filter. Because Supertrend adapts to volatility using ATR, it naturally avoids triggering during minor fluctuations and choppy price action. 2.4 Trend strength filter — ADX ADX must be above the configured threshold (default 25) to confirm a directional environment. Below this level, price is typically ranging and confluence signals carry less weight. The ADX filter can be disabled if you prefer to evaluate trend strength manually. If any single filter is not in agreement, no signal is generated. 3. Presets Conflux 4 includes four preset configurations that adjust the stop mode and risk/reward levels to suit different trading styles. -Scalp Designed for short timeframes and futures scalping. Stop mode: ATR cap. Take profit levels: 0.5R / 1.0R / 1.5R / 2.0R. -Daytrader Designed for mid-timeframe trading on 15 minute to 1 hour charts. Stop mode: Supertrend trailing. Take profit levels: 0.5R / 1.0R / 2.0R / 3.0R. -Swing Designed for higher timeframe trading on 4 hour and daily charts. Stop mode: Fixed percentage. Take profit levels: 1.0R / 1.5R / 2.5R / 3.5R. -Manual Full control over all parameters. No preset overrides apply. 4. Stop modes 4.1 Supertrend The stop follows the Supertrend line dynamically for the duration of the trade. This allows the stop to trail price as long as momentum holds. 4.2 ATR cap The stop is based on the Supertrend level but capped at a maximum distance defined by an ATR multiplier. This prevents the stop from becoming too wide in volatile conditions. 4.3 Fixed percentage The stop is placed at a fixed percentage below the entry for long trades and above the entry for short trades. The distance does not change after entry. 5. Trade block logic When a signal fires, the trade block is drawn automatically: - Entry line at the signal bar close - Stop line at the calculated level based on the active stop mode - Up to four take profit lines at configurable risk/reward ratios - Visual zone shading between entry and stop, and between entry and each take profit Trailing behavior: Before TP1 is reached, the stop holds its initial position. After TP1 is reached, the stop moves to breakeven and begins trailing dynamically. The stop only moves in the direction of the trade — it never moves against it. The trade block remains active until the stop is hit or the Supertrend flips direction. After resolution, the block is cleared and the indicator is ready for the next setup. 6. Dashboard The dashboard displays the live state of every filter and the current trade situation. It updates on every bar close. Rows displayed: - Trend — overall direction from VWMA and EMA alignment - VWMA — whether price is above or below the VWMA - EMA — whether the fast EMA is above or below the slow EMA - RSI — current RSI value and whether the momentum threshold is met - Supertrend — current Supertrend direction - ADX — current ADX value and whether the trend strength threshold is met - Confluence — number of filters currently in agreement - Stop mode — active stop mode in use - Last signal — how many bars since the last signal fired - Cooldown — whether the cooldown period is still active - Trade — current trade state: none, long, or short - TP progress — which take profit levels have been reached The dashboard header color reflects the current trend direction. 7. Settings Trend filters - VWMA length: period of the volume weighted moving average used as the primary trend filter - Fast EMA / Slow EMA: periods of the two exponential moving averages used for secondary trend confirmation - Show EMA lines: toggle EMA visibility on the chart - EMA colors and line width: visual styling options Momentum - RSI length: period for the RSI calculation - Bullish threshold: RSI must be above this level for a long signal (default 55) - Bearish threshold: RSI must be below this level for a short signal (default 45) Volatility and Supertrend - ATR length: period for the ATR calculation used by the Supertrend - Supertrend multiplier: sensitivity of the Supertrend — higher values produce fewer flips - Show Supertrend line, fill, and color options ADX - Enable ADX filter: toggle the trend strength requirement on or off - ADX length: period for the ADX calculation - ADX threshold: minimum ADX value required for a signal (default 25) Signal settings - Signal cooldown: minimum number of bars between two signals - Show signals, signal text, background shading, and bar coloring Trade block - Show trade block: toggle the full trade block visualization - Stop mode: Supertrend, ATR cap, or fixed percentage - ATR cap multiplier and fixed percentage stop size - Take profit levels: four configurable RR ratios - Visual styling for stop, entry, and take profit lines Dashboard - Position: top left, top right, bottom left, or bottom right - Size: tiny, small, or normal - Visibility toggle 8. How to use Select a preset or switch to manual and configure the filters to match your trading style and timeframe. Choose a stop mode. Supertrend is best for trending markets where you want the stop to follow price. ATR cap limits the maximum stop size. Fixed percentage suits swing trades where a known maximum loss matters more than trailing. Set your risk/reward take profit levels. Monitor the dashboard. When all four filters align, the confluence count reaches four and a signal fires. The trade block is drawn automatically. A green marker indicates a bullish signal. A red marker indicates a bearish signal. The trade block shows the full setup from entry to each take profit level. Decision-making remains entirely with the user. 9. Notes Low signal frequency is intentional. Four filters aligning simultaneously is a selective condition. Signals will not appear on every bar or even every session. That is by design. Higher timeframes generally produce more stable signals. On lower timeframes the ADX threshold may need to be lowered or disabled to account for faster price structure. Signals are more meaningful when they form at key structural levels such as support, resistance, or liquidity zones. Conflux 4 does not evaluate those levels — that context comes from the trader. The ADX threshold can be adjusted for markets that tend to range. Lowering it increases signal frequency. Raising it makes the filter more selective. 10. Disclaimer This indicator is provided for educational and informational purposes only. All outputs are based on historical price action calculations and do not guarantee future results. Trading financial instruments involves significant risk of loss. Past performance does not indicate future results. Use at your own discretion.
Indicador Pine Script®
por Anonycryptous
2
SupOsc + SSL + Willy SignalsWhat It Does This is a confluence signal indicator that combines three separate technical indicators and only fires a buy or sell signal when all three agree simultaneously. The idea is to reduce false signals by requiring multiple independent conditions to align before triggering an entry. It plots simple B (buy) and S (sell) labels directly on your chart. The Three Indicators 1. SuperTrend Oscillator (SupOsc) A normalized oscillator built from a SuperTrend calculation. Rather than plotting the SuperTrend line itself, it measures how far price is from the SuperTrend bands and converts that into an oscillator value between -1 and +1. A smoothed EMA histogram runs underneath it. For signals, it watches for the oscillator crossing the -0.50 level upward (buy) or crossing the +0.50 level downward (sell). Think of it as a momentum/trend confirmation filter. 2. SSL Channel A simple but effective trend direction tool that uses SMAs of the highs and lows to determine whether price is in a bullish or bearish regime. When the upper SSL line is above the lower line, it's bullish. When below, it's bearish. The signal requires SSL to be confirming the same direction as the SupOsc before anything fires. 3. Williams %R A momentum oscillator that measures where price closed relative to its recent high-low range, on a scale of 0 to -100. The indicator checks the previous candle's Williams %R reading — requiring it to have been in oversold territory (below -80) for buys, or overbought territory (above -20) for sells. This acts as a pullback/exhaustion filter, helping you buy dips and sell rips rather than chasing. Does It Repaint? Largely no, but with one caveat to be aware of. The SupOsc and Williams %R components are calculated purely on current timeframe bars using standard closed-bar data — no repainting there. The SSL component uses request.security() with lookahead=barmerge.lookahead_off, which is the correct, repaint-safe setting. However, if you set the SSL Timeframe to a higher timeframe than your chart, the SSL values will only update when that higher timeframe bar closes — meaning mid-bar the value reflects the previous completed HTF bar, which is standard and expected behavior, not true repainting. The Williams %R check also looks at wR (the previous bar's value), which is already a closed bar — safe. Bottom line: Signals that appear on a closed bar will not disappear or move. Signals on the current live bar could technically shift if conditions change before the bar closes, which is true of virtually any indicator. Personally I find it works best for confirmations when combined with the CCI as seen in the image below.
Indicador Pine Script®
por parkerberlinger
Position Sizing CalculatorA simple automated calculator that shows how many shares can be bought or sold if a specific maximum amount is to be risked on the position. The risk per share is assumed to be the distance to the respective buy or sell line of the Supertrend indicator. This is based on a calculation of the ATR for the last ten days, which is multiplied by a fixed factor and plotted against the highest or lowest candle of the past ten days. The parameters can be changed manually. By default, a risk of $500 per trade is assumed. For each of the last bars, the calculator displays the distance to the calculated exit and, through a simple division, calculates the number of shares that could be bought or sold in a potential long or short position to achieve this hypothetical maximum risk. Of course, there is no guarantee that the respective price will actually be reached, but the calculator can help provide a reference point for sizing the position. The principle is clearly visible in the screenshots: FRT is a stock that moves slowly and is only a short distance from the stop-loss level. At the current price of $114.47 and a calculated stop at $108.99, 91 shares could be purchased to risk $500. In total, that would be an order of $10,416.77 for a long position. SOUN, on the other hand, has a very wide margin to the stop-loss; it is a stock with high volatility. Therefore, only 300 shares can be purchased here to achieve the same hypothetical risk. The position would thus be worth only $2,841. Designed by tuvot_1a, programmed by Claude.
Indicador Pine Script®
por tuvot_1a
1
UCY-VWATR (live)═══════════════════════════════════════ UCY-VWATR — Volume Weighted ATR Bands with Supertrend ═══════════════════════════════════════ ▸ OVERVIEW A volatility-band indicator that combines a Volume Weighted Moving Average (VWMA) center line with ATR-based deviation bands and a Supertrend overlay for trend direction. The indicator visualizes how far price extends from its volume-weighted mean in units of Average True Range, while the Supertrend acts as a dynamic trend filter. ═══════════════════════════════════════ ▸ HOW IT WORKS - VWMA forms the central reference band (default: 20 period), giving more weight to bars with higher volume than a standard moving average. - ATR (default: 14 period) generates three pairs of upper and lower deviation bands at ±1, ±2, and ±3 multiples — mapping volatility expansion zones around the mean. - Supertrend (default: 10 period, factor 3.0) determines the prevailing trend direction. Green = uptrend, Red = downtrend. - Body-middle (the midpoint of each candle's open and close) is compared against each band. When the body crosses beyond a band in the direction of the active trend, a colored fill appears — darker fills indicate stronger displacement from the mean. ═══════════════════════════════════════ ▸ HOW TO READ THE FILLS In an UPTREND (green Supertrend): - Body above VWMA → light green fill (mild momentum) - Body above +1 ATR → medium green - Body above +2 ATR → strong green - Body above +3 ATR → extreme green (potential exhaustion) In a DOWNTREND (red Supertrend): - Body below VWMA → light red fill - Body below -1 ATR → medium red - Body below -2 ATR → strong red - Body below -3 ATR → extreme red (potential exhaustion) The intensity of the fill provides an at-a-glance read of how stretched price is relative to its volume-weighted mean. ═══════════════════════════════════════ ▸ POTENTIAL USE CASES - Trend-following: Enter in the direction of the Supertrend when price pulls back to VWMA or ±1 ATR band. - Mean reversion: Look for exhaustion signals when price reaches ±3 ATR bands against the prevailing trend. - Breakout confirmation: A break and hold above/below ±1 ATR in the direction of a fresh Supertrend flip can act as trend confirmation. - Volatility context: Wider band spacing signals high volatility regimes; narrow bands indicate compression. ═══════════════════════════════════════ ▸ SETTINGS - VWMA Length: 20 (medium-term balance) - ATR Length: 14 (classic Wilder period) - ATR Multipliers: 1.0 / 2.0 / 3.0 - Supertrend ATR Length: 10 - Supertrend Factor: 3.0 All parameters are user-adjustable to fit different timeframes and instruments. Lower multipliers suit ranging markets; higher multipliers suit trending or volatile assets. ═══════════════════════════════════════ ▸ NOTES - Works on all timeframes and instruments (stocks, futures, forex, crypto). - VWMA requires volume data — best results on instruments with reliable volume feeds (avoid forex spot pairs without aggregated volume). - Designed as a visual decision-support tool, not a standalone signal generator. ═══════════════════════════════════════ ⚠️ DISCLAIMER This indicator is published for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading decisions and their outcomes are the sole responsibility of the user. Past performance does not guarantee future results.
Indicador Pine Script®
por ugurcagriyilmaz
2