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ORB + FVG + PDH/PDL ORB + FVG + PDH/PDL is an all-in-one day-trading overlay that plots: Opening Range (ORB) high/low with optional box and extension Fair Value Gaps (FVG) with optional “unmitigated” levels + mitigation lines Previous Day High/Low history (PDH/PDL) drawn as one-day segments (yesterday’s levels plotted across today’s session only) Includes presets (ORB only / FVG only / Both) and optional alerts for ORB touches, ORB break + retest, FVG entry, and PDH/PDL touches.
Pine Script® göstergesi
JDJerde tarafından
VD FRFS PRO VD FRFS PRO This trader centric, multi-functional indicator built on **Pine Script™ v6** that seamlessly integrates four of the most critical price and volatility tools into a single overlay. Designed for day traders, swing traders, and institutional analysts, this tool provides a comprehensive view of volatility, trend, volume-based pricing, and structure, all without chart clutter. Overview & Concept The VD FRFS PRO is engineered for efficiency and clarity. Instead of layering four separate indicators, which can lead to performance issues and confusion, this script combines the calculations into one, allowing traders to execute complex technical analysis rapidly. It serves as a powerful foundation for strategies that require: 1. Volatility Assessment (Bollinger Bands) 2. Volume-Weighted Fair Value (VWAP) 3. Price Structure & Swings (Zig Zag) 4. Dynamic Trend Filtering (Configurable SMA) Customization & Settings All inputs are logically grouped for ease of use in the indicator's settings menu. Bollinger Bands BB Length: Period for the Basis SMA and StdDev calculation (default: 20). BB Source: Price series for the calculation (default: `close`). BB StdDev Multiplier: Multiplier for the Standard Deviation (default: 2.0). BB Offset: Shifts the bands horizontally (default: 0). VWAP Settings VWAP Source: Price series for the VWAP calculation (default: `hlc3`). Zig Zag Settings Zig Zag High/Low Length: Lookback period for determining swing points (default: 3). SMA Settings SMA Period: Lookback period for the configurable SMA (default: 20). Show SMA: Checkbox to toggle the visibility of this SMA (default: `true`). Disclaimer Feel free to reach out for suggestions and modification requests.
Pine Script® göstergesi
vishaldhawan82 tarafından
Shiori TFGI Lite Technical Fear and Greed Index (Open Source)Shiori’s TFGI Lite Technical Fear & Greed Index (Open Source) --- English — Official Description Shiori’s TFGI Lite is an open-source Technical Fear & Greed Index designed to help traders and investors understand market emotion, not predict price. Instead of generating buy or sell signals, this indicator focuses on answering a calmer, more important question: > Is the market emotionally stretched away from its own historical balance? TFGI Lite combines three well-known technical dimensions — volatility, price deviation, and momentum — and normalizes them into a single, intuitive 0–100 sentiment scale. What This Indicator Is * A market context tool, not a trading signal * A way to observe emotional extremes and misalignment * Designed for any asset, any timeframe * Fully open source, transparent and adjustable Core Components * Fear Factor: Short-term vs long-term ATR ratio with logarithmic compression * Greed Factor: Price Z-score with tanh-based normalization * Momentum Factor: Classic RSI as emotional momentum These factors are blended and gently smoothed to form the current sentiment level. Historical Baseline & Deviation TFGI Lite introduces a historical baseline concept: * The baseline represents the market’s own emotional equilibrium * Deviation measures how far current sentiment has drifted from that equilibrium This allows the indicator to highlight conditions such as: * 🔥 Overheated: High sentiment + strong positive deviation * 💎 Undervalued: Low sentiment + strong negative deviation * ⚠️ Misaligned: Emotionally extreme, but inconsistent with historical behavior How to Use (Lite Philosophy) * Use TFGI Lite as a background compass, not a trigger * Combine it with price structure, risk management, and your own strategy * Extreme readings suggest emotional tension, not immediate reversal > Think of TFGI Lite as market weather — it tells you the climate, not when to open or close the door. About Parameters & Customization All parameters in TFGI Lite are fully adjustable. Markets have different personalities — volatility, sentiment range, and emotional extremes vary by asset and timeframe. You are encouraged to: * Adjust fear/greed thresholds based on the asset you trade * Tune smoothing and baseline lengths to match your timeframe * Treat sentiment levels as relative, not universal absolutes There is no single “correct” setting — TFGI Lite is designed to adapt to your market, not force the market into a fixed model. Important Notes * This is a technical sentiment indicator, not financial advice * No future performance is implied * Designed to reduce emotional decision-making, not replace it --- 🇹🇼 繁體中文 — 指標說明 Shiori’s TFGI Lite（技術型恐懼與貪婪指數） 是一款開源的市場情緒指標，目的不是預測價格，而是幫助你理解市場當下的「情緒狀態」。 與其問「現在該不該買或賣」，TFGI Lite 更關心的是： > 市場情緒是否已經偏離了它自己的歷史平衡？ 本指標整合三個常見但關鍵的技術面向，並統一轉換為 0–100 的情緒刻度，讓市場狀態一眼可讀。 這個指標是什麼 * 市場情緒與狀態觀察工具（非買賣訊號） * 用來辨識情緒極端與錯位狀態 * 適用於任何商品與任何週期 * 完全開源，可學習、可調整 核心構成 * 恐懼因子：短期 / 長期 ATR 比例（對數壓縮） * 貪婪因子：價格 Z-Score（tanh 正規化） * 動能因子：RSI 作為情緒動量 歷史基準與偏離 TFGI Lite 引入「歷史情緒基準」的概念： * 基準代表市場長期的情緒平衡 * 偏離值顯示當前情緒與自身歷史的距離 因此可以辨識： * 🔥 過熱（高情緒 + 正向偏離） * 💎 低估（低情緒 + 負向偏離） * ⚠️ 錯位（情緒極端，但不符合歷史行為） 使用建議（Lite 精神） * 將 TFGI Lite 作為「背景雷達」，而非進出場依據 * 搭配價格結構、風險控管與個人策略 * 情緒極端不等於立刻反轉 > 你可以把它想像成市場的天氣預報，而不是交易指令。 參數調整與個人化說明 本指標中的所有參數皆可調整。不同市場、不同商品，其波動特性與情緒區間並不相同。 建議你： * 依標的特性自行調整恐懼 / 貪婪門檻 * 依交易週期調整平滑與基準長度 * 將情緒數值視為「相對狀態」，而非固定答案 TFGI Lite 的設計初衷，是讓你定義市場，而不是被單一參數綁住。 溫馨提示 如果你在調整指標參數時遇到不熟悉的項目，請點擊參數旁邊的 「!」圖示，每個設定都有清楚的說明。 本指標設計為可慢慢探索，請依自己的節奏理解市場狀態。 --- 🇯🇵 日本語 — インジケーター説明 Shiori’s TFGI Lite は、価格を予測するための指標ではなく、 市場の「感情状態」を可視化するためのオープンソース指標です。 この指標が問いかけるのは、 > 現在の市場感情は、過去のバランスからどれだけ乖離しているのか？ という一点です。 特徴 * 売買シグナルではありません * 市場心理の極端さやズレを観察するためのツールです * すべての銘柄・時間軸に対応 * 学習・調整可能なオープンソース 構成要素 * 恐怖要素：ATR 比率（対数圧縮） * 強欲要素：価格 Z スコア（tanh 正規化） * モメンタム：RSI ベースラインと乖離 市場自身の感情的な基準点と、 現在の感情との距離を測定します。 過熱・割安・感情のズレを視覚的に把握できます。 パラメータ調整について TFGI Lite のすべてのパラメータは調整可能です。市場ごとにボラティリティや感情の振れ幅は異なります。 * 恐怖・強欲の閾値は銘柄に応じて調整してください * 時間軸に合わせて平滑化やベースライン期間を変更できます * 数値は絶対値ではなく、相対的な感情状態として捉えてください この指標は、市場に合わせて柔軟に使うことを前提に設計されています。 フレンドリーヒント 入力項目で分からない設定がある場合は、横に表示されている 「!」アイコン をクリックしてください。各パラメータには分かりやすい説明が用意されています。 このインジケーターは、落ち着いて市場の状態を理解するためのものです。 --- 🇰🇷 한국어 — 지표 설명 Shiori’s TFGI Lite는 매수·매도 신호를 제공하는 지표가 아니라, 시장 감정의 상태를 이해하기 위한 기술적 심리 지표입니다. 이 지표의 핵심 질문은 다음과 같습니다. > 현재 시장 감정은 과거의 균형 상태에서 얼마나 벗어나 있는가? 특징 * 거래 신호 아님 * 시장 심리의 과열·저평가·불일치를 관찰 * 모든 자산, 모든 타임프레임 지원 * 오픈소스 기반 구성 요소 * 공포 요인: ATR 비율 (로그 압축) * 탐욕 요인: Z-Score (tanh 정규화) * 모멘텀: RSI 활용 방법 TFGI Lite는 배경 지표로 사용하세요. 가격 구조와 리스크 관리와 함께 사용할 때 가장 효과적입니다. 파라미터 조정 안내 TFGI Lite의 모든 설정 값은 사용자가 직접 조정할 수 있습니다. 자산마다 변동성과 감정 범위는 서로 다릅니다. * 공포 / 탐욕 기준값은 종목 특성에 맞게 조정하세요 * 타임프레임에 따라 스무딩 및 기준 기간을 변경할 수 있습니다 * 감정 수치는 절대적인 값이 아닌 상대적 상태로 해석하세요 이 지표는 하나의 정답을 강요하지 않고, 시장에 맞춰 적응하도록 설계되었습니다. 친절한 안내 설정 값이 익숙하지 않다면, 항목 옆에 있는 "!" 아이콘을 클릭해 보세요. 각 입력값마다 설명이 제공됩니다. 이 지표는 천천히 시장의 맥락을 이해하도록 설계되었습니다. --- Educational purpose only. Not financial advice. --- #FearAndGreed #MarketSentiment #TradingPsychology #TechnicalAnalysis #OpenSourceIndicator #Volatility #RSI #ATR #ZScore #MultiAsset #TradingView #Shiori
Pine Script® göstergesi
eddy121384 tarafından
1
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis. This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality: 🎯 Core Features 1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles: MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends MA5 (21 EMA): Short-term anchor - critical pivot point MA6 (34 EMA): Intermediate support/resistance MA7 (50 EMA): Medium-term bridge between short and long trends MA8-MA9 (89, 100): Transition zone indicators MA10-MA11 (150, 200): Long-term anchors for major trend identification Each MA is fully customizable: Type: SMA, EMA, WMA, TMA, RMA Color, width, and enable/disable toggle 📊 Signal Generation System Three Signal Tiers: Short-Term Signals (ST) Trigger: MA8 (EMA 8) crossing MA21 (EMA 21) Filters Applied: ✅ ATR-based post-cross confirmation (optional) ✅ Momentum confirmation (RSI > 50, MACD positive) ✅ Volume spike requirement ✅ HTF (Higher Timeframe) alignment ✅ Strong candle body ratio (>50%) ✅ Multi-MA confirmation (3+ MAs supporting direction) ✅ Price beyond MA21 with conviction ✅ Minimum bar spacing (prevents signal clustering) ✅ Consolidation filter ✅ Whipsaw protection (ATR-based price threshold) Medium-Term Signals (MT) Trigger: MA21 crossing MA50 Less strict filtering for swing trades Major Signals Golden Cross: MA50 crossing above MA200 (major bullish) Death Cross: MA50 crossing below MA200 (major bearish) 🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover This prevents false signals during low-volatility consolidation.2. Momentum Filters RSI (14) MACD Histogram Rate of Change (ROC) Composite momentum score (-3 to +3) 3. Volume Analysis Volume spike detection (2x MA) Volume classification: LOW, MED, HIGH, EXPL Directional volume confirmation 4. Higher Timeframe Alignment HTF1: 60-minute (default) HTF2: 4-hour (optional) HTF3: Daily (optional) Signals only trigger when current TF aligns with HTF trend 5. Market Structure Detection Break of Structure (BOS): Price breaking recent swing highs/lows Order Blocks (OB): Institutional demand/supply zones Fair Value Gaps (FVG): Imbalance areas for potential fills 📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional): Price Distance from Key MAs vs MA21, MA50, MA200 (percentage) Color-coded: green (above), red (below) MA Alignment Score Calculates % of MAs in proper order 🟢 for bullish alignment, 🔴 for bearish Trend Strength Based on separation between MA21 and MA200 NONE/WEAK/MODERATE/STRONG/EXTREME Consolidation Detection Identifies low-volatility ranges Prevents signals during sideways markets ⚙️ Customization OptionsFilter Toggles: ☑️ Require Momentum ☑️ Require Volume ☑️ Require HTF Alignment ☑️ Use ATR post-cross confirmation ☑️ Whipsaw filter Min bars between signals (default: 5) Dashboard Styling: 9 position options 6 text sizes Custom colors for header, rows, and text Toggle individual metrics on/off 🎨 Visual Elements Signal Labels: ST▲/ST▼ (green/red) - Short-term MT▲/MT▼ (blue/orange) - Medium-term GOLDEN CROSS / DEATH CROSS - Major signals Volume Spikes: Small labels showing volume class + direction Example: "HIGH🟢" or "EXPL🔴" Market Structure: Dashed lines for Break of Structure levels Automatic detection of swing highs/lows 🔔 Alert Conditions Pre-configured alerts for: Short-term bullish/bearish crosses Medium-term bullish/bearish crosses Golden Cross / Death Cross Volume spikes 💡 Key Strengths Institutional-Grade Filtering: Multiple confirmation layers reduce false signals Multi-Timeframe Analysis: Ensures alignment across timeframes Adaptive to Market Conditions: ATR-based thresholds adjust to volatility Comprehensive Dashboard: All critical metrics in one view Highly Customizable: 100+ input parameters Signal Quality Over Quantity: Strict filters prioritize high-probability setups ⚠️ Usage Recommendations Best for: Swing trading and position trading Timeframes: Works on all TFs, optimized for 15m-Daily Markets: Stocks, Forex, Crypto, Indices Signal Frequency: Conservative (quality over quantity) Combine with: Support/resistance, price action, risk management 🔧 Technical Implementation Notes Uses Pine Script v6 syntax Efficient calculation with minimal repainting Maximum 500 labels for performance Security function for HTF data (no lookahead bias) Array-based MA alignment calculation State variables to track signal spacing This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment). The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
Pine Script® göstergesi
lohanineeraj tarafından
RSI Multi-Timeframe TableHow the RSI Multi-Timeframe Table Indicator Works This indicator displays a table showing the RSI (14) from multiple timeframes at the same time. It helps you quickly see whether the RSI is in overbought or oversold zones across different periods (1m, 5m, 15m, 30m, 1h, 4h, and 1D). Below is a clear explanation of how each part works: 1) Timeframes Used The indicator analyzes the RSI from the following timeframes: 1 minute (1m) 5 minutes (5m) 15 minutes (15m) 30 minutes (30m) 1 hour (1h) 4 hours (4h) 1 day (1D) Each row of the table represents one of these timeframes. 2) How the RSI Is Retrieved For each timeframe, the script uses the request.security() function to fetch the RSI(14) value from that specific timeframe, even if your current chart is set to a different one. Example: On a 1h chart, you can still see the RSI from 1m, 5m, 30m, etc. 3) Table Structure The table appears in the top-right corner and contains 8 columns: TF – shows the timeframe name RSI – shows the RSI value with two decimal places 10 – marks if RSI is ≤ 10 20 – marks if RSI is ≤ 20 30 – marks if RSI is ≤ 30 70 – marks if RSI is ≥ 70 80 – marks if RSI is ≥ 80 90 – marks if RSI is ≥ 90 The extreme levels (10, 20, 80, 90) help identify possible reversal zones. 4) Markings in the Table When a condition is true, a ● circle appears in the corresponding cell. Examples: If the 5m RSI is ≤ 20, a circle appears in the 20 column for the 5m row. If the 1H RSI is ≥ 80, a circle appears in the 80 column for the 1H row. Colors also help interpretation: Red for strong oversold levels (≤10) Orange and yellow for intermediate levels Green, teal, and blue for overbought levels 5) Alerts The indicator includes four built-in alerts: RSI ≤ 10 RSI ≤ 20 RSI ≥ 80 RSI ≥ 90 These alerts use the RSI from the current chart timeframe. To enable them: Open Alerts in TradingView Click Create Alert Select the indicator Choose the alert you want Confirm 6) Purpose of This Indicator It is useful for: Quickly checking market strength across multiple timeframes Identifying when several periods are overbought or oversold Avoiding trades against market momentum Helping confirm potential reversal points Summary This indicator creates a table that shows RSI values from multiple timeframes and visually highlights overbought or oversold conditions in each one. It also includes ready-to-use alerts for the most extreme RSI levels.
Pine Script® göstergesi
PortugaBR tarafından
1
NeoChartLabs TrixxOne of our Favorite Indicators - The Trixx - The Trix with K & J lines for extra crossovers and trend analysis. Best when used on the 4hr and above. Shout out to fauxlife for the original script, we updated to v6. The TRIX indicator (Triple Exponential Average) is a momentum oscillator used in technical analysis to show the percentage rate of change of a triple-smoothed exponential moving average, helping traders identify overbought/oversold conditions and potential trend reversals by filtering out minor price fluctuations. It plots as a line oscillating around a zero line, often with a signal line (an EMA of TRIX) for crossovers, and traders look for divergence with price or signal line crosses for buy/sell signals
Pine Script® göstergesi
NeoChartLabs tarafından
NeoChartLabs McGinley DynamicOne of our Favorite Indicators - the McGinley Dynamic The MGD is adaptive, it speeds up for crypto and slows down for stocks, this version turns green when bullish and red when bearish - this is a fast indicator so the colors are more reliable on higher time frames. The McGinley Dynamic is a smart, adaptive moving average technical indicator created by John R. McGinley, designed to overcome the lag and whipsaw issues of traditional moving averages (MAs) by automatically adjusting to varying market speeds, resulting in a smoother, more responsive line that tracks price action better, acting as a reliable trend-following tool or baseline in financial charts. Shout out to LOXX for the original script, updated to v6.
Pine Script® göstergesi
NeoChartLabs tarafından
Multi-Timeframe EMA Trend Table [ Hemanth ]This indicator displays the trend across multiple timeframes based on your chosen EMA length. It dynamically shows whether price is above (Bullish) or below (Bearish) the EMA for each selected timeframe. Fully customizable — select which timeframes to display, and adjust the EMA length to suit your trading style. Ideal for swing traders and intraday traders who want quick multi-timeframe trend confirmation at a glance. Developed it for my personal preference to track if the price is above or below 50 EMA in different timeframes. Features: Shows trend for up to 5 selectable timeframes (e.g., 75min, 4H, Daily, Weekly, Monthly) Color-coded trends: Green = Bullish, Red = Bearish EMA length fully adjustable Option to show/hide any timeframe dynamically Works on any chart timeframe
Pine Script® göstergesi
GHemanth04 tarafından
MoneyLine CipherMoneyLine Cipher Overview MoneyLine Cipher is a trend-following indicator designed to identify high-probability entry and exit points by combining multiple technical analysis methods into a unified signal system. The indicator adapts its behavior based on current market conditions, becoming more aggressive in strong trends and more conservative in choppy or uncertain markets. Core Concept: The Money Line At the heart of this indicator is the Money Line, a linear regression line that acts as a dynamic center of price action. Unlike a simple moving average, linear regression fits a straight line through recent prices using least-squares methodology, providing a smoother representation of the underlying trend direction. The slope of this line determines whether the market is in a bullish, bearish, or neutral state. Dynamic Envelope Bands The indicator plots upper and lower bands around the Money Line using Average True Range (ATR) as the volatility measure. What makes these bands unique is their adaptive multiplier system. When the ADX (Average Directional Index) indicates a strong trend, the bands automatically widen to accommodate larger price swings and avoid premature exits. In ranging or weak trend conditions, the bands contract to provide tighter entry and exit zones. This dynamic adjustment helps the indicator perform consistently across different market environments. Trend State Detection The indicator classifies market conditions into five distinct states: Strong Uptrend, Uptrend, Neutral, Downtrend, and Strong Downtrend. This classification uses three complementary methods working together. First, the Directional Movement Index (DMI) measures the spread between positive and negative directional indicators. A large positive spread suggests bullish momentum, while a large negative spread indicates bearish pressure. Second, On-Balance Volume (OBV) confirms whether volume supports the indicated trend direction. For a Strong Uptrend classification, OBV must be rising above its moving average, confirming that buying pressure backs the price movement. Third, ADX must exceed a minimum threshold for Strong trend classifications, ensuring that only genuinely trending markets receive the Strong designation. Signal Generation Buy and sell signals are generated using Fisher Transform and Aroon indicators, but with a crucial enhancement: the trigger thresholds adjust dynamically based on the current trend state. The Fisher Transform converts price data into a Gaussian normal distribution, making turning points easier to identify. In a Strong Uptrend, the buy threshold relaxes (making buys easier to trigger) while the sell threshold tightens (making sells harder to trigger). This allows traders to stay in winning positions longer during favorable conditions. The opposite applies in downtrends, where the system becomes quick to exit and reluctant to enter long positions. The Aroon indicator measures how recently price made a new high or low within the lookback period. Combined with Fisher Transform, this dual-confirmation approach reduces false signals that might occur when using either indicator alone. Band touches also generate signals. When price reaches the lower band, a potential buy zone is identified. When price reaches the upper band, a potential sell zone is flagged. Cascade Protection System A key feature is the built-in protection against averaging down into a losing position. The system tracks consecutive buy signals and limits them to a configurable maximum (default: 3). After reaching this limit, no additional buy signals are generated until a sell signal resets the counter. This prevents the common mistake of repeatedly buying during a sustained decline. Additionally, the indicator monitors Bollinger Band Width Percentile (BBWP), which measures current volatility relative to historical volatility. When BBWP exceeds a threshold (indicating a volatility spike often associated with sharp moves), buy signals are temporarily frozen. This protects against entering during panic selloffs or blow-off tops. Extreme Move Detection Sometimes price moves so aggressively that it penetrates the bands by an unusual amount. The indicator detects these extreme moves and can generate signals even during normal cooldown periods. The logic is that an extreme band penetration represents a significant overextension that warrants attention regardless of recent signal history. These extreme signals are visually distinguished from regular signals. RSI Divergence The indicator includes RSI divergence detection as an additional confirmation tool. When price makes a lower low but RSI makes a higher low (bullish divergence), it suggests weakening downside momentum and a potential reversal. Bearish divergence (price higher high, RSI lower high) warns of potential tops. Both regular and hidden divergences are detected and marked on the chart. Signal Cooldown To prevent overtrading and signal clustering, a configurable cooldown period prevents new signals for a set number of bars after each signal. This spacing ensures that each signal represents a distinct trading opportunity rather than repeated triggers on the same price movement. Visual Display The indicator provides a comprehensive information panel showing current trend state, BBWP status, consecutive buy count, ADX reading, Fisher and Aroon values, cooldown status, and current dynamic thresholds. An ADX bar at the bottom of the chart provides quick visual reference for trend strength and direction using color coding. Signal labels display the entry or exit price along with the current buy count (for buy signals), helping traders track their position sizing. How to Use In uptrending markets, look for buy signals near the lower band, particularly when the trend state shows Uptrend or Strong Uptrend. These represent pullback opportunities within an established trend. In downtrending markets, the indicator naturally reduces buy signals and increases sell sensitivity, helping traders avoid catching falling knives. In neutral or ranging conditions, signals from both directions are generated with moderate thresholds, suitable for mean-reversion trading within the bands. Monitor the BBWP and consecutive buy counter in the info panel. If BBWP shows "FROZEN" or the buy counter approaches the maximum, exercise additional caution with new long entries. Settings Guidance The default settings are optimized for 5-minute cryptocurrency charts but can be adjusted for other timeframes and assets. Key parameters to consider adjusting include the Money Line length (shorter for more responsive, longer for smoother), ATR multiplier range (wider bands reduce signals but improve accuracy), and the various threshold values for trend classification.
Pine Script® göstergesi
ralis24 tarafından
Neural Fusion ProNeural Fusion Pro Overview Neural Fusion Pro is a multi-factor scoring system that combines numerous technical analysis methods into a single unified score. Rather than requiring traders to monitor multiple indicators separately, this system synthesizes trend strength, momentum oscillators, volume confirmation, price structure, and price action quality into one composite reading that adapts to current market conditions. The Scoring System At the heart of this indicator is a weighted scoring algorithm that produces a value between -1.0 and +1.0. Positive scores indicate bullish conditions across the measured factors, while negative scores suggest bearish conditions. The magnitude of the score reflects the strength of conviction across indicators. The score is calculated from five distinct components, each capturing a different aspect of market behavior. Users can adjust the weight given to each component based on their trading style and market preferences. Component 1: Trend Strength and Direction This component uses the Average Directional Index to measure trend strength and the Directional Movement indicators to determine trend direction. When ADX exceeds the trending threshold, indicating a directional market, the component contributes a positive score if the positive directional indicator leads, or a negative score if the negative directional indicator leads. In ranging markets where ADX is low, this component contributes minimally to avoid false trend signals. Component 2: Multi-Factor Momentum Rather than relying on a single oscillator, this component synthesizes readings from RSI, MACD histogram, Stochastic, CCI, and Rate of Change. Each oscillator is normalized to a common scale and weighted according to its reliability characteristics. RSI readings are compared against dynamic thresholds that adjust based on trend state, making the indicator more forgiving in uptrends and more demanding in downtrends. The component also includes divergence detection. When price makes a higher high but RSI makes a lower high (bearish divergence), or when price makes a lower low but RSI makes a higher low (bullish divergence), the divergence score adjusts the momentum component accordingly. Component 3: Volume Confirmation Volume provides crucial confirmation of price movements. This component analyzes On-Balance Volume relative to its moving average and measures the slope of OBV to determine whether volume is supporting the price trend. Additionally, it monitors relative volume by comparing current volume to its recent average, adding confirmation when volume spikes accompany price movements. Component 4: Price Structure and Volatility This component evaluates where price sits within the dynamic bands and considers the current volatility regime. When price is near the lower band, the component contributes a bullish score, suggesting potential support. When price is near the upper band, it contributes a bearish score, suggesting potential resistance. The volatility regime assessment uses ATR percentile ranking. Low volatility periods often precede significant moves, while extremely high volatility may indicate unsustainable conditions. Component 5: Price Action Quality This component examines the character of recent candles by tracking the ratio of bullish to bearish candles over a lookback period. Consistent bullish price action contributes a positive score, while consistent bearish action contributes negatively. This helps filter signals by confirming that price behavior aligns with other factors. Dynamic Bands The indicator plots adaptive bands around a central basis line. The basis can be configured as either a simple or exponential moving average. Band width is determined by ATR multiplied by a dynamic factor that incorporates both ADX (expanding bands in trending markets) and the Chaikin Oscillator (expanding bands during strong accumulation or distribution). These bands serve multiple purposes: they provide visual context for price position, they define signal trigger zones, and they help identify overextended conditions. Trend State Detection The indicator classifies market conditions into three states that affect signal generation and threshold levels. Strong Uptrend is identified when ADX is rising, ADX exceeds the strong trend threshold, and the positive directional indicator exceeds the negative. This state triggers the most aggressive buy settings, allowing entries on shallow pullbacks. Downtrend is identified when the negative directional indicator exceeds positive DI and ADX confirms directional movement. This state applies the most conservative buy settings, requiring deep oversold conditions before generating buy signals. Neutral applies when neither trend condition is met, using moderate threshold settings appropriate for range-bound or transitional markets. Dynamic RSI Thresholds A key innovation is the automatic adjustment of RSI thresholds based on trend state. In a strong uptrend, the buy RSI threshold might be set to 50, allowing entries when RSI merely pulls back to neutral rather than requiring oversold conditions. The sell threshold rises to 72, keeping traders in positions longer during favorable conditions. In downtrends, the buy RSI threshold drops to 25, ensuring buys only trigger on genuine capitulation. The sell threshold drops to 64, making exits easier to trigger. In neutral markets, traditional oversold and overbought levels apply, with buy triggers around RSI 30 and sell triggers around RSI 68. This adaptive approach prevents the common problem of indicators that work well in one market environment but fail in others. Dynamic Cooldown The signal cooldown period adjusts based on trend strength. During normal conditions, a standard cooldown prevents signal clustering. When ADX exceeds the strong trend threshold and is rising, indicating a powerful trend, the cooldown period extends. This helps traders stay in winning positions longer by reducing the frequency of counter-trend signals. Cascade Protection The indicator includes protection mechanisms to prevent overtrading and averaging down into losing positions. The BBWP (Bollinger Band Width Percentile) monitor tracks current volatility relative to historical levels. When BBWP exceeds a threshold, indicating a volatility spike often associated with sharp moves, all buy signals are frozen. This protects against entering during panic selloffs or blow-off tops. The consecutive buy counter tracks how many buy signals have occurred without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This prevents the destructive pattern of repeatedly buying a declining asset. Both protection mechanisms are displayed in the information panel, allowing traders to understand why signals may or may not be firing. Signal Generation Buy signals require price to touch or penetrate the lower band, RSI to be below the dynamic threshold, and the market to be in a trending state (when that filter is enabled). Additionally, the cooldown period must have elapsed and cascade protection must not be blocking buys. Sell signals require price to touch or penetrate the upper band, RSI to be above the dynamic threshold, and the cooldown to have elapsed. Signal labels display the entry price, signal type (shallow dip, capitulation, extended, bounce sell, or neutral), and the current position in the consecutive buy count. Visual Components The indicator provides multiple layers of visual feedback. Cloud shading between the bands changes based on whether the composite score is in a buy zone or sell zone. Green clouds indicate bullish score readings, while red clouds indicate bearish readings. Background coloring reflects the overall market regime. Green background indicates a bullish regime (positive DI leadership with volume confirmation), red indicates bearish regime, and white indicates neutral conditions. An ADX bar at the bottom of the chart uses color coding: white for ranging (very low ADX), orange for flat, and blue for trending conditions. The information panel displays the composite score with color coding, current trend state, active RSI thresholds, divergence status, BBWP freeze status, buy counter, market regime, ADX value with trend indicator, current cooldown setting, and live RSI reading color-coded against the active thresholds. A debug panel can be enabled to show the individual component scores, helping users understand what is driving the composite reading. How to Use Monitor the composite score in the information panel. Readings above the buy threshold combined with price near the lower band represent potential long entries. Readings below the sell threshold with price near the upper band suggest exit opportunities. Pay attention to the trend state. In strong uptrends, be more willing to buy dips and more patient with holding positions. In downtrends, require stronger confirmation before entering and be quicker to take profits on bounces. Watch the cascade protection status. If BBWP shows frozen or the buy counter is approaching maximum, exercise additional caution regardless of other signals. Use the dynamic RSI thresholds as context. When the panel shows buy RSI threshold at 50 (strong uptrend), even a pullback to RSI 45 is a potential entry. When the threshold shows 25 (downtrend), wait for genuine capitulation conditions. Component Weight Adjustment The relative importance of each scoring component can be adjusted through the settings. The default weights emphasize trend strength (30%) and momentum (25%), with volume (20%), price structure (15%), and price action (10%) providing confirmation. For trend-following strategies, consider increasing trend and momentum weights. For mean-reversion approaches, increase the price structure weight to emphasize band position. The weights should sum to approximately 1.0 for proper score scaling. Settings Guidance The default settings are calibrated for cryptocurrency markets on lower timeframes. For traditional markets or longer timeframes, consider adjusting the ADX trending threshold (lower values for less volatile assets), the dynamic RSI levels for each trend state, and the cascade protection parameters. The Heikin Ashi option for band calculation can provide smoother bands but may introduce slight lag. The default setting uses standard price data for better real-time accuracy.
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ralis24 tarafından
The Reaper WhistleThe Reaper Whistle is a high-precision RSI momentum system engineered for scalpers and intraday traders. It combines a customizable RSI with a dynamic moving average signal line to detect micro-shifts in momentum, early reversals, and continuation setups with extreme speed. The indicator includes five key zones used by liquidity and SMC-style traders: • Strong Sell (90) – Extreme momentum exhaustion • Sell (80) – Overextension area • TP Zone (50) – Momentum balance / decision point • Buy (20) – Discount area • Strong Buy (10) – Extreme sell-side exhaustion By tracking how RSI interacts with its MA inside these zones, traders can identify high-probability sniper entries on the 1m, 3m, and 5m charts. ⸻ ⭐ HOW IT WORKS (Quick Breakdown) • RSI Period: defines momentum sensitivity • MA Period: smooths RSI noise and clarifies direction shifts • MA Type: SMA, EMA, or WMA for different reaction speeds • Crossovers: show momentum flips or trend continuation • Zones: filter out weak signals and highlight only premium setups ⸻ ⚡ STRATEGY EXAMPLES 1️⃣ Liquidity Sweep Reversal (Most Powerful Setup) Use case: Gold, NAS100, NQ, US30 1. Price sweeps a previous high/low 2. RSI spikes into Strong Sell (90) or Strong Buy (10) 3. RSI crosses its MA back inside the zone 4. Enter on candle confirmation 5. TP at the next imbalance, VWAP, or volume cluster This setup catches V-shaped reversals and trap plays. ⸻ 2️⃣ Trend Continuation Pullback Use case: Trending markets 1. Identify trend direction (EMA 200, structure, etc.) 2. Wait for RSI to pull back to the TP (50) zone 3. Watch for RSI crossing its MA in trend direction 4. Enter with trend 5. TP at previous swing high/low This setup filters out weak pullbacks and catches clean momentum continuation. ⸻ 3️⃣ Breakout Confirmation Use case: Range breakouts, opening range breaks 1. Price breaks a consolidation high/low 2. RSI holds above Sell (80) in uptrend or below Buy (20) in downtrend 3. RSI crosses its MA with momentum 4. Enter breakout 5. TP at HTF zone or liquidity target Perfect for fast markets like NAS100 and Bitcoin. ⸻ 4️⃣ Divergence + Whistle Flip Use case: Slow markets or pre-session moves 1. Look for bullish or bearish RSI divergence 2. Wait for RSI to cross the MA in direction of divergence 3. Enter once momentum confirms 4. TP at imbalance, FVG, or mid-range This increases divergence accuracy dramatically. ⸻ 🔥 RECOMMENDED SETTINGS • Scalping (1m–3m): • RSI: 5 • MA: 3 • Type: EMA • Intraday 5m–15m: • RSI: 7–14 • MA: 5 • Type: SMA ⸻ ⭐ WHO IT’S BUILT FOR • Liquidity + SMC traders • Scalpers who need fast confirmation • Traders who want clean, simple entries • Beginners who want visual guidance • Professionals who want momentum precision The Reaper Whistle is intentionally designed for speed, clarity, and reliability — no clutter, no lag, just pure momentum read. — Created by TheTrendSniper (ChartReaper) “When the market whispers… the Reaper whistles.”
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TheTrendSniper tarafından
CISD Trend Candle + MACD SignalThis custom TradingView indicator combines trend-based candle coloring with MACD reversal detection to generate clear entry and exit signals: 🔷 Blue triangle (Buy): Appears when the candles confirm an uptrend (e.g., 5 consecutive closes above 21 EMA) and no long position is currently held. 🔴 Red triangle (Sell): Appears when the candles confirm a downtrend (e.g., 5 consecutive closes below 21 EMA) and no short position is currently held. ⚪ Gray triangle (Exit): If in a long position, it shows when the candle turns neutral (gray) and the MACD crosses down (bearish signal), or the trend turns red. If in a short position, it shows when the candle turns neutral and the MACD crosses up (bullish signal), or the trend turns blue. 🟠 Orange line: 21-period EMA used for trend validation. This logic prevents premature entries and provides structured exit points, aiming to avoid false signals in choppy markets.
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hana-87ch tarafından
Helix Protocol 7Helix Protocol 7 Overview Helix Protocol 7 is a trend-adaptive signal engine that automatically adjusts its buy and sell criteria based on current market conditions. Rather than using fixed thresholds that work well in some environments but fail in others, Helix detects whether the market is in a strong uptrend, neutral consolidation, or downtrend, then applies the appropriate signal parameters for each state. This adaptive approach helps traders buy dips aggressively in confirmed uptrends while requiring much stricter conditions before buying in downtrends. Core Philosophy The fundamental insight behind Helix is that the same indicator readings mean different things in different market contexts. An RSI of 45 during a strong uptrend represents a healthy pullback and buying opportunity. That same RSI of 45 during a confirmed downtrend might just be a brief pause before further decline. Helix encodes this context-awareness directly into its signal logic. The Money Line At the center of the indicator is the Money Line, which can be configured as either a linear regression line or a weighted combination of exponential moving averages. Linear regression provides a mathematically optimal fit through recent price data, while the weighted EMA option offers more responsiveness to recent price action. The slope of the Money Line determines whether the immediate price trend is bullish, bearish, or neutral, which affects the color of the bands and cloud shading. Dynamic Envelope Bands Upper and lower bands are calculated using Average True Range multiplied by a dynamic factor. When ADX indicates trending conditions, the bands automatically widen to accommodate larger price swings. The Chaikin Accumulation/Distribution indicator also influences band width, with strong accumulation or distribution causing additional band expansion. This dual adaptation helps the bands remain relevant across different volatility regimes. Trend State Detection Helix classifies market conditions into four distinct states using a combination of ADX behavior and Directional Movement analysis. Strong Uptrend requires ADX to be rising (gaining momentum), ADX value above a threshold (default 25), and the positive directional indicator exceeding the negative. This combination confirms not just that price is rising, but that the trend is strengthening. Strong Downtrend uses the same ADX requirements but with the negative directional indicator dominant. This identifies accelerating downward momentum. Weak Downtrend is detected when ADX is falling (trend losing steam) but negative DI still exceeds positive DI. This often represents the exhaustion phase of a decline. Neutral applies when none of the above conditions are met, typically during consolidation or when directional indicators are close together. Adaptive Signal Thresholds The indicator uses Fisher Transform and RSI as its primary oscillators, but the trigger levels change based on trend state. During Strong Uptrend, buy conditions are relaxed significantly. The Fisher threshold might be set to 1.0 (only slightly below neutral) and RSI to 50, allowing entries on minor pullbacks within the established trend. Sell conditions are tightened, requiring Fisher above 2.5 and RSI above 70, letting winning positions run longer. During Neutral conditions, both buy and sell thresholds return to traditional oversold and overbought levels. Fisher must reach -2.0 for buys and +2.0 for sells, with RSI requirements around 30 and 65 respectively. During Downtrend, buy conditions become very strict. Fisher must reach extreme oversold levels like -2.5 and RSI must drop below 25, ensuring buys only trigger on genuine capitulation. Sell conditions are loosened, allowing exits on any meaningful bounce. This asymmetric approach embodies the trading principle of being aggressive when conditions favor you and defensive when they do not. Band Touch Signals In addition to oscillator-based signals, Helix generates signals when price touches the dynamic bands. A touch of the lower band indicates potential support and generates a buy signal. A touch of the upper band suggests potential resistance and generates a sell signal. These band-based signals work alongside the oscillator signals, providing entries even when Fisher and RSI have not reached their thresholds. Extreme Move Detection Sometimes price moves so violently that it penetrates the bands by an unusual amount. Helix measures this penetration depth as a percentage of ATR and can flag these as "extreme" signals. Extreme signals have special properties: they can fire intra-bar (before the candle closes) to catch wick entries, they can bypass normal cooldown periods, and they can optionally bypass volatility freezes. This allows the indicator to capture panic selling events that might be missed by waiting for candle closes. Cascade Protection System A critical feature for risk management is the built-in cascade protection that prevents averaging down into oblivion. The system has two components. First, it tracks Bollinger Band Width Percentile, which measures current volatility relative to its historical range. When BBWP exceeds a threshold (default 92%), indicating a volatility spike often associated with sharp directional moves, all buy signals are temporarily frozen. This prevents entries during the most dangerous market conditions. Second, it counts consecutive buy signals without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This absolute limit prevents the common mistake of repeatedly buying a falling asset. The protection status is displayed in the information panel, showing current BBWP level and the consecutive buy count. RSI Divergence Detection Helix includes automatic detection of RSI divergences, which often precede trend reversals. Regular bullish divergence occurs when price makes a lower low but RSI makes a higher low, suggesting weakening downside momentum. Regular bearish divergence is the opposite pattern at tops. Hidden divergences, which suggest trend continuation rather than reversal, are also detected and can be displayed optionally. Divergence lines are drawn directly on the price chart connecting the relevant pivot points. Signal Cooldown To prevent signal clustering and overtrading, a configurable cooldown period prevents new signals for a set number of bars after each signal. This ensures each signal represents a distinct trading opportunity. Visual Components The indicator provides comprehensive visual feedback. The Money Line changes color based on slope direction. The cloud shading between bands reflects trend bias. An ADX bar at the bottom of the chart uses color coding to show trend state at a glance: lime for strong uptrend, red for downtrend, white for ranging (very low ADX), orange for flat, and blue for trending but not yet strong. Price labels appear at signal locations showing the entry or exit price, the trigger type (band touch, uptrend dip, capitulation, etc.), and the current position in the consecutive buy count. The information panel displays current trend state, divergence status, BBWP freeze status, buy counter, ADX with direction arrow, DI spread, Fisher and RSI values, and the current active thresholds for buy and sell signals. A compact mode is available for mobile devices. How to Use In strong uptrends, look for buy signals on pullbacks to the Money Line or lower band. The relaxed thresholds will generate more frequent entries, which is appropriate when trend momentum is confirmed. Consider letting sell signals pass if the trend remains strong. In neutral markets, treat signals more selectively. Both buy and sell signals require significant oscillator extremes, making them higher-probability but less frequent. In downtrends, exercise extreme caution with buy signals. The strict requirements mean buys only trigger on major oversold conditions. Respect sell signals promptly, as the loosened thresholds are designed to protect capital. Always monitor the cascade protection status. If BBWP shows frozen or the buy counter is at maximum, the indicator is warning you that conditions are dangerous for new long entries. Settings Guidance The default settings are calibrated for cryptocurrency markets on 5-minute timeframes. For other assets or timeframes, consider adjusting the ADX threshold for strong trend detection (lower for less volatile assets), the Fisher and RSI thresholds for each trend state, and the BBWP freeze level based on the asset's typical volatility profile. The indicator includes a debug panel that can be enabled to show the detailed state of all conditions, useful for understanding why signals are or are not firing.
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ralis24 tarafından
Cup & Handle Finder by Mashrab🚀 New Tool Alert: The "Perfect Cup" Finder Hey everyone! I’ve built a custom indicator to help us find high-quality Cup & Handle setups before they breakout. Most scripts just look for random highs and lows, but this one uses a geometric algorithm to ensure the base is actually round (avoiding those messy V-shapes). How it works: 🔵 Blue Arc: This marks a verified, institutional-quality Cup. 🟠 Orange Box: This is the "Handle Zone." If you see this connecting to the current candle, it means the setup is live and ready for a potential entry! Best Usage: Works best on Weekly (1W) charts. It’s designed to be an "Early Warning" system—alerting you while the handle is still forming so you don't miss the move. Give it a try and let me know what you find! 📉📈
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highstandart9 tarafından
1
takeshi_2Step_Screener_MOU_KAKU_FIXED3//@version=5 indicator("MNO_2Step_Screener_MOU_KAKU_FIXED3", overlay=true, max_labels_count=500) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)") emaMLen = input.int(13, "EMA Mid (13)") emaLLen = input.int(26, "EMA Long (26)") macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSignal = input.int(9, "MACD Signal") macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volLookback = input.int(5, "Volume MA days", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1) volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1) wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1) pivotLen = input.int(20, "Resistance lookback", minval=5) pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1) pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1) breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1) // --- Breakout route (押し目なし初動ブレイク) --- useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)") breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1) bigBodyLookback = input.int(20, "Break candle body MA length", minval=5) bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1) requireCloseNearHigh = input.bool(true, "Break candle: close near high") closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0) allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead") // 表示 showEMA = input.bool(true, "Plot EMAs") showMou = input.bool(true, "Show MOU label") showKaku = input.bool(true, "Show KAKU label") showDebugTbl = input.bool(false, "Show debug table (last bar)") locChoice = input.string("Below Bar", "Label location", options= ) lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) // plot は if の中に入れない（naで制御） plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5") plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13") plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL goldenOrder = emaS > emaM and emaM > emaL above26_2days = close > emaL and close > emaL // 勝率維持の土台（緩めない） baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) macdGC = ta.crossover(macdLine, macdSig) macdUp = macdLine > macdLine macdNearZero = math.abs(macdLine) <= macdZeroTh macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0 macdMouOK = macdGC and macdNearZero and macdUp macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK // ========================= // Volume // ========================= volMA = ta.sma(volume, volLookback) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) bullEngulf = close > open and close < open and close >= open and open <= close bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) candleOK = pinbar or bullEngulf or bigBull // ========================= // Resistance / Pullback route // ========================= res = ta.highest(high, pivotLen) pullbackPct = res > 0 ? (res - close) / res * 100.0 : na pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Breakout route (押し目なし初動ブレイク) // ========================= breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0) bullBreak = close > open bodyMA = ta.sma(body, bigBodyLookback) bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false rng = math.max(high - low, syminfo.mintick) closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct) mou_breakout = useBreakoutRoute and baseTrendOK and breakConfirm and bullBreak and bigBodyOK and closeNearHighOK and volumeStrongOK and macdBreakOK mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou = mou_pullback or mou_breakout // ========================= // KAKU (Strict): 8条件 + 最終三点 // ========================= cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2days cond4 = macdGCAboveZero cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdGCAboveZero and volumeStrongOK kaku = all8_strict and final3 // ========================= // Display (統一ラベル) // ========================= showKakuNow = showKaku and kaku showMouPull = showMou and mou_pullback and not kaku showMouBrk = showMou and mou_breakout and not kaku plotshape(showMouPull, title="MOU_PULLBACK", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showMouBrk, title="MOU_BREAKOUT", style=shape.labelup, text="猛B", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showKakuNow, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered") alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered") alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered") alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered") // ========================= // Debug table (optional) // ========================= var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60)) fRow(_name, _cond, _r) => bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80) tx = _cond ? "OK" : "NO" table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg) if showDebugTbl and barstate.islast // ❗ colspanは使えないので2セルでヘッダーを作る table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0)) fRow("BaseTrend", baseTrendOK, 1) fRow("MOU Pullback", mou_pullback, 2) fRow("MOU Breakout", mou_breakout, 3) fRow("Break confirm", breakConfirm, 4) fRow("Break big body", bigBodyOK, 5) fRow("Break close high", closeNearHighOK, 6) fRow("Break vol strong", volumeStrongOK, 7) fRow("Break MACD", macdBreakOK, 8) fRow("KAKU all8", all8_strict, 9) fRow("KAKU final3", final3, 10) fRow("MOU any", mou, 11) fRow("KAKU", kaku, 12)
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morishima0ut6b tarafından