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Rectangle Breakout Patterns📊 Rectangle Breakout Pattern Detector (Support & Resistance) This indicator is a dynamic tool designed to automatically identify and visualize Rectangle Continuation Patterns and Trading Ranges based on pure price action. It focuses on finding horizontal areas of long-term support and resistance where price is consolidating before an eventual breakout. 💡 What It Does The core function of this indicator is to detect and plot the boundaries of significant consolidation areas on your chart. It follows a multi-step confirmation process: Level Detection: It automatically identifies significant Pivot Highs and Lows. Pattern Confirmation: It confirms Support and Resistance by counting the number of times price 'touches' a level (controlled by the Min Pivot Touches setting). Visualization: Once confirmed, it draws a Box around the consolidation area. This box automatically extends to the right as long as the price remains contained, showing the active trading range. This provides an objective, code-driven approach to a classic chart pattern often relied upon by technical analysts.
Pine Script®指标
由trend-wolf提供
Market + Direction + Entry + Hold + Exit v1.5 FINALIndicator Description Market + Direction + Entry + Hold + Exit is a rule-based intraday trading indicator designed to identify high-quality trend opportunities while filtering out low-probability market conditions. Instead of relying on a single signal, this indicator combines market activity, trend direction, momentum, structure, and pullback logic into one unified framework. It is built to support disciplined, rule-driven trading rather than discretionary or predictive approaches. Core Logic The indicator operates through a multi-layer confirmation process. First, it evaluates whether the market is active enough to trade. Market activity is determined by volatility expansion, volume participation, and price displacement from VWAP. When sufficient activity is detected, the indicator allows trades to be considered. Next, directional bias is defined using exponential moving averages and price positioning. This creates a clear long-only or short-only environment and helps avoid counter-trend trades. Entry Structure Entries are based on pullbacks within an established trend rather than breakout chasing. The first valid pullback is marked as the initial entry. If the trend continues and additional controlled pullbacks occur, re-entry opportunities are identified and labeled sequentially. This structure helps traders scale into trends in a systematic and measured way. Hold Confirmation While a position is active, the indicator provides hold confirmation using momentum alignment and candle behavior. This is designed to help traders remain in strong trends and reduce premature exits during normal pullbacks. Exit Logic Exit signals appear only when two conditions align: market structure failure and clear trend weakening. This approach avoids exits based on minor price noise and focuses on objective trend invalidation. Intended Use This indicator is designed for intraday trading and scalping on indices, futures, and cryptocurrency markets. It performs best on lower to mid timeframes such as 3-minute, 5-minute, and 15-minute charts, where trend continuation and pullback behavior are most visible. Asset Presets Built-in presets are provided for NQ, Gold, and BTC. Each preset automatically adjusts internal parameters such as volatility thresholds, structure sensitivity, and trend strength filtering. Important Notes This indicator does not predict future price movements. It is a decision-support tool designed to help traders align with market conditions, manage entries systematically, and maintain consistency. Risk management, position sizing, and execution remain the responsibility of the user. 지표 설명 Market + Direction + Entry + Hold + Exit는 시장의 흐름이 명확한 구간에서만 거래 기회를 포착하도록 설계된 규칙 기반 인트라데이 트레이딩 지표입니다. 이 지표는 단일 신호에 의존하지 않고, 시장 활성도, 추세 방향, 모멘텀, 가격 구조, 되돌림 조건을 단계적으로 결합하여 낮은 확률의 구간을 걸러내는 데 초점을 둡니다. 예측보다는 정렬과 필터링을 통해 일관된 의사결정을 돕는 것이 목적입니다. 핵심 개념 지표는 여러 단계의 조건을 순차적으로 통과해야 신호를 생성하는 구조로 설계되어 있습니다. 먼저, 현재 시장이 거래하기에 충분히 활성화되어 있는지를 판단합니다. 변동성, 거래량, VWAP 대비 가격 이탈 정도를 기준으로 시장 상태를 평가하며, 일정 기준 이상일 때만 거래를 고려합니다. 이후, 이동평균과 가격 위치를 기반으로 추세 방향을 정의하여 롱 또는 숏 한 방향만 허용합니다. 이를 통해 역추세 진입을 자연스럽게 차단합니다. 진입 구조 진입은 돌파가 아닌 추세 내 되돌림을 기준으로 설계되어 있습니다. 첫 번째 유효한 되돌림 구간을 초기 진입으로 표시하며, 추세가 유지되는 동안 추가적인 되돌림이 발생할 경우 재진입 기회를 순차적으로 제공합니다. 이러한 구조는 감정적인 물타기가 아닌, 규칙 기반의 분할 진입을 가능하게 합니다. 홀드 신호 포지션 보유 중에는 모멘텀 정렬과 캔들 흐름을 통해 추세 지속 여부를 확인할 수 있습니다. 이를 통해 정상적인 조정 구간에서는 성급한 청산을 줄이고, 추세가 유지되는 동안 포지션을 안정적으로 관리할 수 있도록 돕습니다. 청산 로직 청산 신호는 가격 구조 붕괴와 추세 약화가 동시에 확인될 때만 발생합니다. 단기적인 노이즈에 의한 잦은 청산을 피하고, 추세가 객관적으로 무너지는 구간에 집중하도록 설계되었습니다. 활용 대상 이 지표는 인트라데이 트레이딩과 스캘핑에 적합하며, 지수, 선물, 암호화폐 시장에서 활용할 수 있습니다. 특히 3분, 5분, 15분 차트에서 추세와 되돌림 구조가 명확하게 나타나는 환경에서 효과적입니다. 자산 프리셋 NQ, Gold, BTC에 대해 사전 설정된 프리셋이 제공되며, 각 자산의 변동성과 특성에 맞게 내부 파라미터가 자동으로 조정됩니다. 유의 사항 본 지표는 가격의 미래를 예측하지 않습니다. 시장 환경을 정리하고 거래 판단을 보조하는 도구로서 사용되며, 손절 기준과 포지션 사이즈 관리는 사용자 책임입니다.
Pine Script®指标
由ninnikuya2294提供
LSTM-Inspired BB Mean Reversion// ============================================================================ // BOLLINGER BANDS MEAN REVERSION STRATEGY // Based on LSTM Model True Positive Signal Characteristics // ============================================================================ // Model learned to identify: // 1. Price at/below Lower Bollinger Band (100% of TP signals) // 2. RSI < 30 (Oversold) (75% of TP signals) // 3. High volatility (wide BB bands) // 4. Below average volume (contrarian) // ============================================================================
Pine Script®指标
由yellowpierid提供
Ultimate Squeeze & BreakoutTitle: Ultimate Squeeze & Breakout Description: This indicator is a volatility analysis tool designed to identify periods of market compression ("The Squeeze") and validate subsequent breakouts using momentum logic. It builds upon the classic relation between Bollinger Bands and Keltner Channels but adds a directional filter to reduce false signals. The Problem It Solves: Standard squeeze indicators often signal a breakout the moment price exits the bands, even if the underlying trend is weak or flat. This can lead to entering "wicks" or fakeouts. This script solves this by requiring the Basis Line Slope to align with the breakout direction before generating a signal. How It Works: 1. Compression (The Setup) The script monitors the relationship between Bollinger Bands (Standard Deviation) and Keltner Channels (ATR). Red Cloud: When the Bollinger Bands contract completely inside the Keltner Channels, it indicates a critical drop in volatility. The market is coiling and storing energy. 2. The Momentum Filter (The Validation) Unlike basic squeeze indicators, a breakout is not signaled solely by price closing outside the bands. Logic: The script calculates the slope of the 20-period Basis Line (Simple Moving Average). Bullish Validation: Price > Upper Band AND Basis Line is sloping UP. Bearish Validation: Price < Lower Band AND Basis Line is sloping DOWN. Visual Guide: 🟥 Red Cloud: Squeeze ON. Volatility is compressed. Do not trade; wait for expansion. 🟣 Fuchsia Cloud: Bullish Breakout (Price released upward + Positive Momentum). 🔵 Blue Cloud: Bearish Breakout (Price released downward + Negative Momentum). ⬜ Gray/Green Cloud: Standard Trending phase (Volatility is normal). Features: Precision Inputs: Multipliers for Standard Deviation and ATR can be adjusted in 0.01 increments for fine-tuning sensitivity. Visual Toggles: Option to color the neutral trending cloud Green or Gray based on preference. Alerts: Built-in alerts for "Squeeze Started" and validated "Bullish/Bearish Breakouts." Credits: Core mechanics based on the TTM Squeeze concept popularized by John Carter. Momentum filtering logic added for enhanced signal reliability.
Pine Script®指标
由tonngnh3提供
DMcTrades Trading EngineDMcTrades Trading Engine Multi-Layer Trend, Structure & Momentum Analysis This indicator is a comprehensive, rule-based trading framework designed to identify high-quality buy and sell opportunities through multi-timeframe confluence, trend alignment, and price-action confirmation. It combines structure breaks, moving-average alignment, volatility filters, and momentum confirmation into a single, unified visual system. The script is intended for intraday and short-term swing trading, with particular effectiveness on lower timeframes when higher-timeframe trend alignment is respected. Core Architecture The indicator is divided into two independent but complementary engines: 1) Multi-Timeframe Structure & Trend Engine This engine focuses on directional bias and structural validation. Key components: Multi-timeframe EMA alignment (fast and slow timeframes) Supertrend direction agreement across timeframes Swing-based Break of Structure (BOS) detection Configurable trend strictness (Conservative / Balanced / Aggressive) Optional wick-based or close-based structure confirmation Signals generated here establish trend-qualified entry permission, not standalone entries. 2) Momentum & Breakout Signal Engine This engine evaluates entry quality and follow-through probability. Key components: Breakout and breakdown detection from recent swing levels ATR-adjusted volatility and impulse candle filtering MACD and RSI momentum confirmation VWAP and higher-timeframe EMA confluence (optional) Retest-based and impulse-based entry logic Overextension protection to avoid late entries Signals are classified as: CONFIRMED (strong multi-filter confluence) BASE (core conditions met, fewer filters passed) Signal Types & Visuals The indicator provides multiple visual layers: BUY / SELL triangles for core entries CONFIRMED BUY / SELL labels for high-confluence setups Classification boxes highlighting active signal zones Supertrend overlays (current timeframe + optional 5-minute overlay) EMA stack visualization (9 / 21 / 50 / 200) Impulse candle highlighting Optional reversal warning triangles based on momentum divergence All visuals are fully configurable and can be enabled or disabled independently. Risk & Trade Context Features To help filter lower-probability trades, the suite includes: Minimum ATR and volume thresholds Trend stability checks (avoids fresh flips unless momentum is strong) EMA slope and distance validation Liquidity sweep and recent structure awareness Optional higher-timeframe trend agreement These filters are designed to reduce over-trading and improve signal quality during ranging or low-volatility conditions. Recommended Usage Best suited for 1-minute to 15-minute charts Designed for trend-following and momentum continuation Works across Forex, indices, commodities, and crypto Use in conjunction with proper risk management and session awareness This indicator does not provide take-profit or stop-loss levels and should be used as a decision-support tool, not an automated trading system. Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results.
Pine Script®指标
由DMcTrades_提供
Student Wyckoff Multi MA ChannelsSTUDENT WYCKOFF Multi MA Channels puts all major moving averages and their dynamic channels into one compact tool. It is designed for traders who work with trend, structure and volatility, and want a clean way to compare different MAs on price. ━━━━━━━━━━ 1. Concept ━━━━━━━━━━ Instead of adding several separate indicators to the chart, this script lets you: • choose the type of moving average, • optionally plot a second MA for comparison, • and build a volatility or percent-based channel around each line. The goal is not to create automatic signals, but to give you a flexible “trend and context layer” that works together with your own price action, Wyckoff logic and volume analysis. ━━━━━━━━━━ 2. Moving averages inside the script ━━━━━━━━━━ The following MA types are available from a single dropdown: • SMA – Simple Moving Average • EMA – Exponential Moving Average • WMA – Weighted Moving Average • RMA – Relative/Smoothed Moving Average (SMMA) • VWMA – Volume-Weighted Moving Average • HMA – Hull Moving Average • ALMA – Arnaud Legoux Moving Average • LinReg – Linear Regression line You can configure: • source (default: close), • length of the main MA, • optional second MA with its own type and length, • colors for both lines and their channels. This makes it easy to compare, for example, EMA 50 vs SMA 200, or VWMA vs HMA, without loading multiple separate indicators. ━━━━━━━━━━ 3. Channels around each MA ━━━━━━━━━━ For both the main and the second MA, you can enable a channel and choose how it is calculated: Channel mode: • None – no channel, only the moving averages. • ATR – upper/lower band = MA ± ATR * multiplier. • Percent – upper/lower band = MA ± N% of the MA value. Inputs let you control: • ATR length and multiplier, • percent width for Percent mode, • whether to show only the lines, only the fill, or both. Each MA has its own color and its own semi-transparent fill, so you clearly see two separate “pipes” around the price if you use two MAs at the same time. ━━━━━━━━━━ 4. Practical use cases ━━━━━━━━━━ This script can help you: • Identify trend direction and strength – The main MA acts as a core trend filter. – The second MA can show a slower “background trend” or a faster signal line. • Visualize dynamic support and resistance – Price often reacts to MA + channel as a dynamic zone rather than a single line. – ATR mode automatically widens/narrows the channel when volatility changes. • Work with stops and targets – ATR channels can be used as a visual guide for dynamic stop placement or “stretch zones” where price is extended away from the mean. – Percent channels show how far price deviates from the chosen MA in relative terms. • Combine with Wyckoff / volume logic – Use MA + channel only as a context: where is the midline of the move, where is price overextended, where do reactions hit support/resistance zones? – Decisions to enter or exit should still be based on the story of price, volume and higher-timeframe structure. The indicator is not a complete trading system. It is a visual framework that helps you read trend, volatility and mean-reversion potential more clearly. ━━━━━━━━━━ 5. Notes and disclaimer ━━━━━━━━━━ • Works on any symbol and timeframe supported by TradingView. • There are no repaint tricks inside – the script uses standard built-in functions for moving averages and ATR. The last bar can change in real time as new data comes in, which is normal behaviour for any MA. This script is published for educational and analytical purposes only. It does not provide financial or investment advice and
Pine Script®指标
由StudentWyckoff提供
2
online Moment-Based Adaptive Detection🙏🏻 oMBAD (online Moment-Based Adaptive Detection): adaptive anomaly || outlier || novelty detection, higher-order standardized moments; at O(1) time complexity For TradingView users: this entity would truly unleash its true potential for you ‘only’ if you work with tick-based & seconds-based resolutions, otherwise I recommend to keep using original non-online MBAD . Otherwise it may only help with a much faster backtesting & strategy development processes. ... Main features : O(1) time complexity: the whole method works @ O(1) time complexity, it’s lighting fast and cheap HFT-ready: frequency, amount and magnitude of data points are irrelevant Axiomatic: no need to optimize or to provide arbitrary hyperparameters, adaptive thresholds are completely data-driven and based on combination of higher-order central moments Accepts weights: the method can gain additional information by accepting weights (e.g. volume weighting) Example use cases for high-frequency trading: Ordeflow analysis: can be applied on non-aggregated flow of market orders to gauge its imbalance and momentum Liquidity provision: can be applied to high-resolution || tick data to place and dynamically adjust prices of limit orders ML-based signals: online estimates of higher-order central moments can be used as features & in further feature engineering for trading signal generation Operation & control: can be applied on PnL stream of your strategy for immediate returns analysis and equity control Abstract: This method is the online version of originally O(n) MBAD (Moment-Based Adaptive Detection) . It uses higher-order central & standardized moments to naturally estimate data’s extremums using all data while not touching order-statistics (i.e. current min and max) at all. By the same principles it also estimates “ever-possible” values given the data-generating process stays the same. This online version achieves reduced time complexity to O(1) by using weighted exponential smoothing, and in particular is based on Pebay et al (2008) work, which provides mathematically correct results for the moments, and is numerically stable, unlike the raw sum-based estimates of moments. Additionally, I provide adjustments for non-continuous lattice geometry of orderbooks, and correct re-quantization math, allowing to artificially increase the native tick size. The guidelines of how to adjust alpha (smoothing parameter of exponential smoothing) in order to completely match certain types of moving averages, or to minimize errors with ones when it’s impossible to match; are also provided. Mathematical correctness of the realization was verified experimentally by observing the exact match with the original non-recursive MBAD in expanding window mode, and confirmed by 2 AI agents independently. Both weighted and non-weighted versions were tested successfully. ... ^^ On micro level with moving window size 1 ^^ With artificial tick size increase, moving window size 64 ^^ Expanding window mode anchored to session start ^^ Demonstrates numerical stability even on very large inputs ... ∞
Pine Script®指标
由gorx1提供
3
Momentum Gamma StraddleExact definition of what that script does 1) Purpose The script is a decision aid for intraday expiry-day ATM straddle trades. It detects intraday structure breakouts and signals candidate long straddle entries for Nifty or Sensex using price structure, volume, RSI momentum, and a user-supplied combined ATM premium value (CE + PE). It draws support/resistance, shows an info box, and raises alerts. 2) Inputs the user can change Trading time window: startHour, startMin, endHour, endMin. Structure lookback: res_lookback (how many candles to use to compute resistance/support). Minimum candle body as fraction of candle range: min_body_pct. Volume multiplier threshold: vol_mult (breakout candle volume must exceed vol_mult * sma5). RSI length and thresholds: rsi_len, rsi_bull_thresh, rsi_bear_thresh. Combined premium source: choose Manual or Symbol. If Manual, set manual_combined. If Symbol, provide a TradingView symbol that returns CE+PE combined ATM premium. Combined premium acceptable band: min_combined_ok and max_combined_ok. Profit target percent and SL percent (target_pct and sl_pct). Misc pattern heuristics: min_res_hits (min tests of resistance inside lookback), low_slope_min (used to detect rising lows). Micro-confirmation toggle, micro timeframe, nonrepaint option, show_entry_label toggle (in the later fixed versions some of these were added, but the earlier fixed script had basic combined_symbol options and a lookahead fallback). 3) Data calculated on each bar Safety check hasEnough: true when bar_index >= res_lookback. resistance: the highest high over res_lookback bars. support: the lowest low over res_lookback bars. res_hits: count of bars within lookback whose high is within a tolerance of resistance. Tolerance is 10 percent of the range between resistance and support. low_slope: simple slope of lows over res_lookback bars. body_pct: the candle body as a fraction of its high-low range. strong_body true when body_pct >= min_body_pct. bull_breakout: true if hasEnough and current close > resistance and strong_body and res_hits >= min_res_hits. bear_breakout: true if hasEnough and current close < support and strong_body and res_hits >= min_res_hits. vol_sma5 and vol_ok: vol_ok true when current volume > vol_mult * vol_sma5. rsi and rsi checks: rsi_bull_ok true if rsi >= rsi_bull_thresh; rsi_bear_ok true if rsi <= rsi_bear_thresh. combined_premium: either the manual_combined input or the value read from combined_symbol via request.security. The script attempted a fallback to manual when the symbol was not valid. combined_ok: true if combined_premium lies between min_combined_ok and max_combined_ok. final signals: bull_signal when in_time_window and bull_breakout and vol_ok and rsi_bull_ok and combined_ok. bear_signal similar for bearish breakout. 4) Visual output and alerts Plots resistance and support lines on the chart. Plots a label shape "STRADDLE BUY" below the bar for bull_signal and above the bar for bear_signal. Creates an info label (on last bar) that shows TimeOK, VolOK and vol ratio, RSI, Combined premium and whether it is OK, ResHits and LowSlope. Sets two alertcondition events: "Bull Straddle BUY" and "Bear Straddle BUY" with a short candidate message. The alerts fire when the corresponding signal is true. 5) Execution assumptions you must follow manually The script does not place any orders or compute option strike-level prices or greeks. It only flags candidate entry bars. When combined_source is Manual you must type CE+PE yourself. The indicator will only accept the manual number and treat it as the combined premium. When combined_source is Symbol the script uses request.security to read that symbol. For historical bars the indicator may repaint depending on lookahead settings. The earlier fixed script attempted to use request.security inside a conditional which leads to runtime or compile errors. You experienced that exact error. 6) Known implementation caveats and bugs you encountered Pine typing issue with low_slope. The earlier version set low_slope = na without explicit type. That triggers the Pine error: "Value with NA type cannot be assigned to a variable that was defined without type keyword". This required changing to float low_slope = na. The earlier version attempted to call request.security() inside an if block or conditional. Pine prohibits request.security in conditional blocks unless allowed patterns are followed. That produced the error you saw: "Cannot use request.* call within loops or conditional structures" or similar. The correct pattern is to call request.security at top-level and decide later which value to use. If combined_symbol is invalid or not available on your TradingView subscription, request.security can return na and the script must fall back to manual value. The earlier fixed script attempted fallback but compiled errors prevented reliable behavior. The earlier script did not include micro-confirmation or advanced nonrepaint controls. Those were added in later versions. Because of that, the earlier script may have given signals that appear to repaint on historical bars or may have thrown errors when using combined_symbol. 7) Decision logic summary (exact) Only operate if current chart time is inside user set time window. Only consider trade candidates when enough history exists for res_lookback. Identify a resistance level as the highest high in the lookback. Count how many times that resistance was tested. Ensure the breakout candle has a strong body and volume spike. Ensure RSI is aligned with breakout direction. Require combined ATM premium to be inside a user preferred band. If combined_symbol is used the script tries to read that value and use it; otherwise it uses manual_combined input. If all the above conditions are true on a confirmed bar, the script plots a STRADDLE BUY label and triggers an alertcondition. 8) What the script does not do It does not calculate CE and PE prices by strike. It only consumes or accepts combined premium number. It does not compute greeks, IV, or OI. OI and IV checks must be done manually. It does not manage positions. No SL management or automatic exits are executed by the script. It does not simulate fills or account for bid/ask spreads or slippage. It cannot detect off-exchange block trades or read exchange-level auction states beyond raw volume bars. It may repaint historical labels if the combined_symbol was read with lookahead_on or the script used request.security in a way that repainted. The corrected final version uses nonrepaint options. 9) Manual checks you must always perform even when the script signals BUY Confirm the live combined ATM premium and the bid/ask for CE and PE. Check ATM IV and recent IV movement for a potential IV crush risk. Check option OI distribution and recent OI changes for strike pinning or large player exposure. Confirm CE and PE liquidity and depth. Wide spreads make fills unrealistic. Confirm there is no scheduled news or auction within the next few minutes. Confirm margin and position sizing fits your risk plan. 10) Quick testing checklist you can run now Add the script to a 5-minute chart with combined_source = Manual. Enter manual_combined equal to the real CE+PE at the moment you test. Set startHour and endHour so the in_time_window is true for current time. Look for STRADDLE BUY label on confirmed bars. Inspect the info box to see why it did or did not signal. If you set combined_source = Symbol, verify the symbol exists and that TradingView returns values for it. If you previously saw the request.security error, that was caused by placing the request inside a conditional. The correct behavior is to call request.security unconditionally at top-level like in the final fixed version.
Pine Script®指标
由RAWGHAV提供
BVWY Stamp WatermarkOverview This script creates a clean, compact watermark “stamp” for your charts — combining a custom title/subtitle with symbol info (ticker, timeframe, date) in one neat block. It’s designed for traders and educators who want their charts branded and professional without clutter. Features • 🖋️ Customizable title and subtitle (default: RICH BVYWY) • 📊 Symbol info line with independent toggles for ticker, timeframe, and date • 🎨 Full control over colors, sizes, alignment, and background opacity • 📍 Position anywhere on the chart (top/middle/bottom, left/center/right) • 🪶 Lightweight and efficient — no redundant tables or clearing logic Use Cases • Branding your shared charts with a signature watermark • Teaching and documentation — stamp your visuals with context and identity • Clean overlays for presentations, reports, or social media posts Notes This script is built with Pine Script v5 and follows TradingView’s style guide for clarity and efficiency. It’s streamlined to overwrite cells each bar, ensuring smooth performance without flicker or lag
Pine Script®指标
由richardbvuwayi提供
CloudScore by ExitAnt [Upgrade]📘 CloudScore PRO by ExitAnt (v13) CloudScore PRO는 일목균형표(REAL Ichimoku Cloud)의 ‘진짜 상방 돌파’만을 감지하고, 여기에 총 10가지 추세·모멘텀·패턴·거래량 요소를 점수화하여 (0~9점) 현재 추세 전환의 강도를 직관적으로 알려주는 고급 추세 분석 지표입니다. 일목 구름은 본래 강력한 추세 전환 신호를 제공하지만 “위→안→위” 또는 “부분 돌파” 같은 왜곡 신호가 매우 많습니다. v13은 이를 완전히 제거하고, 오직 아래→안→위 또는 아래→위(직통) 형태의 ‘진짜 돌파’에서만 점수를 계산합니다. 🎯 지표 목적 * 진짜 일목구름 돌파만 필터링하여 신뢰도 상승 * 10개 기술 요소의 점수화(0~9점)로 한눈에 추세 강도 판단 * 거짓 진입 신호(위→안→위) 완전 제거 * 점수 0일 때도 ‘🔴’로 명확하게 무효 신호 표시 * 초보자부터 숙련자까지 모두 활용 가능한 추세 진입 필터링 지표 🧠 점수 계산 방식 (가중치 기반) 구름 돌파가 유효하게 발생하면, 아래 10가지 조건을 체크하여 각 항목별 가중치 점수가 합산됩니다. ▶ 기존 +1 점 항목 (5개) 1. 골든 크로스 발생 Fast MA가 Slow MA를 최근 N봉 내 상향 돌파 2. RSI 과매도 구간 RSI < 설정값 → 반등 가능성 증가 3. MACD 강세 전환 MACD < 0 & 시그널 상향 돌파 4. RSI 상승 다이버전스 가격 하락, RSI 상승 → 바닥 가능성 5. 종가 > MA200 장기 추세와 일치하는 경우만 점수 강화 ▶ 신규 +1 점 항목 (추가 5개) 6. ADX > 20 (추세 강도) 추세가 실제로 형성되고 있을 때 7. 거래량 스파이크 발생 거래량이 평균 대비 일정 배수 이상 증가 → 큰 매수 유입 8. Stochastic Oversold Cross %K < 30에서 골든크로스 → 저점 반등 신호 9. Bollinger Band Rebound 이전 봉이 하단 밴드를 이탈하고, 현재 봉이 중심선을 회복한 경우 10. 강세 캔들 패턴 (Bullish Engulfing / Hammer 등) 강한 반전 패턴 발생 시 > 점수는 단순 +1 합산이 아니라 > 각 요소의 중요도에 따른 가중치 합산 방식으로 계산됩니다. 📊 점수별 이모지 (8단계) | 점수 구간 | 이모지 | 의미 | | -------- | ------ | -------------- | | ≤ 0 | 🔴 | 무효 신호 | | 0 ~ 1 | ⚪ | 매우 약함 | | 1 ~ 2 | 🟡 | 약함 | | 2 ~ 3 | 🟢 | 관찰 필요 | | 3 ~ 4 | 🔵 | 양호 | | 4 ~ 5 | 📈 | 추세 형성 | | 5 ~ 6.5 | 🚀 | 매우 강함 | | **6.5+** | **👑** | **최상급 고신뢰 구간** | > 👑 이모지는 6.5점 초과에서만 표시되며, > 여러 핵심 조건이 동시에 충족된 극소수 구간에서만 나타납니다. 🖥 차트 표시 요소 * REAL Ichimoku Cloud(미래 이동 없는 실제 구름)을 기반으로 계산 * TRUE breakout(아래 → 위 돌파) 시 캔들 위에 점수 이모지 표시 * 최근 N개의 캔들만 표시 가능 * 우측 상단에 현재 점수 요소 설명 패널 표시 * 점수 0점일 때도 🔴 표시하여 신호의 부재를 명확히 표현 * 위→안→위처럼 잘못된 돌파는 완전히 제외됨 🔧 사용자 설정 * Tenkan / Kijun / SenkouB 기간 설정 * 점수 요소 개별 활성화/비활성화 * 이모지 커스터마이즈 * 최근 몇 개의 캔들까지 표시할지 설정 * MA, RSI, MACD, ADX, Bollinger 등 점수 요소 사용자 정의 가능 ⚠️ 유의사항 이 지표는 일목구름 돌파 기반의 확률적 보조 도구이며, 단독으로 매수·매도 결정을 내리는 용도로 사용해서는 안 됩니다. * 시장 변동성 * 시간 프레임 * 거래량 환경 에 따라 신호 강도는 달라질 수 있습니다. 실제 매매 적용 전 반드시 백테스트 및 시뮬레이션을 권장합니다. 오케이. 그럼 **지금 네 코드(v13, 가중치 + 8단계 이모지 기준)** 와 **완전히 1:1로 맞는 영어 설명 최종본**을 줄게. (퍼블릭 배포용으로 그대로 써도 되는 수준) # 📘 **CloudScore PRO by ExitAnt (v13)** CloudScore PRO is an advanced **Ichimoku-based trend scoring indicator** that detects only **true, valid Ichimoku Cloud breakouts** and evaluates the strength of the trend using a **weighted score system built from 10 technical components**. Unlike standard Ichimoku signals — which often generate distorted breakouts such as **“above → inside → above”** — CloudScore PRO v13 **filters these out completely** and only accepts the following structures as valid breakouts: * **below → inside → above** * **below → above (direct breakout)** This ensures that scoring is applied **only when a genuine trend transition occurs**. ## 🎯 Purpose of the Indicator * Filter out false Ichimoku Cloud breakouts * Evaluate trend strength using **10 weighted confirmation signals** * Visualize trend quality instantly using **8-stage emoji scoring** * Clearly mark invalid signals (score ≤ 0) * Serve as a robust **entry filter** for both beginners and advanced traders ## 🧠 Scoring Logic (Weighted System) When a valid cloud breakout occurs, CloudScore PRO evaluates the following 10 components and **adds weighted scores based on their importance**. ### ▶ Core Trend & Momentum Components (5) 1. **Golden Cross** * Fast MA crosses above Slow MA within the defined lookback period 2. **RSI Oversold Condition** * RSI below threshold, indicating potential reversal 3. **MACD Bullish Shift** * MACD below zero with bullish signal-line crossover 4. **RSI Bullish Divergence** * Price makes a lower low while RSI makes a higher low 5. **Close Above MA200** * Price aligned with the long-term trend direction ### ▶ Additional Confirmation Components (5) 6. **ADX Trend Strength** * Confirms that a real trend is forming 7. **Volume Spike** * Significant increase in trading volume vs average 8. **Stochastic Oversold Cross** * %K crosses upward below the 30 level 9. **Bollinger Band Rebound** * Price recovers after breaking below the lower band 10. **Bullish Candlestick Pattern** * Engulfing, Hammer, or similar reversal patterns > Scores are **not simple +1 increments**. > Each component contributes a **weighted value**, reflecting its real-world importance. ## 📊 Emoji Score System (8 Levels) | Score Range | Emoji | Meaning | | ----------- | ------ | ---------------------------------- | | ≤ 0 | 🔴 | Invalid / no signal | | 0 ~ 1 | ⚪ | Very weak | | 1 ~ 2 | 🟡 | Weak | | 2 ~ 3 | 🟢 | Moderate | | 3 ~ 4 | 🔵 | Decent | | 4 ~ 5 | 📈 | Trend forming | | 5 ~ 6.5 | 🚀 | Very strong | | **6.5+** | **👑** | **Premium, high-confidence setup** | 👑 **The crown emoji appears only when the total weighted score exceeds 6.5**, meaning multiple high-importance conditions are aligned simultaneously. This prevents “emoji inflation” and ensures that premium signals remain rare and meaningful. ## 🖥 Chart Features * Uses **REAL Ichimoku Cloud** (no future displacement) * Displays score emojis directly on breakout candles * Supports LONG / SHORT / BOTH modes * Optional display limited to the most recent N bars * Top-right panel explains scoring structure and logic * Completely ignores false breakouts (above → inside → above) ## 🔧 User Options * Adjust Ichimoku, MA, RSI, MACD, ADX parameters * Enable or disable individual scoring components * Fully customize emoji symbols * **Display only signals above a chosen minimum score** * e.g. show only 👑 setups by setting minimum score to 6.5 ## ⚠️ Disclaimer CloudScore PRO is a **probability-based trend evaluation tool**, not a standalone buy or sell signal. Signal strength may vary depending on: * Market volatility * Timeframe * Volume environment Always perform proper backtesting and apply sound risk management before using this indicator in live trading.
Pine Script®指标
由ExitAnt_AI提供
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®指标
由vishaldhawan82提供
JH MantraBAND-C + AlphaWave Signals v1.3 (Clean)AlphaWave는 추세 + 눌림 + 반전을 하나의 흐름으로 묶은 트레이딩 시그널입니다. • 20 HMA 기반 추세 판단 • 변동성 밴드 구간(상·하단)에서의 눌림/되돌림 포착 • 과도한 신호를 줄이고 확률 높은 구간만 표시 권장 타임프레임: - 3분 / 5분 (단타, 스캘핑) - 일봉 (추세 확인용) ※ 이 지표는 신호 남발을 피하고, ‘기다렸다가 들어가는 매매’를 목표로 설계되었습니다. AlphaWave is a trend-following indicator designed to capture pullbacks and reversals within volatility zones. • 20 HMA based trend structure • Upper / lower volatility bands for context • Filtered signals to reduce noise Best used on: - 3m / 5m intraday charts - Daily charts for trend confirmation This indicator focuses on patience and high-probability setups.
Pine Script®指标
由hyun6606提供
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®指标
由lohanineeraj提供
CODEX OB + BBMA V1CODEX OB + BBMA is a multi-purpose Smart Money Concepts (SMC) indicator that automatically detects and visualizes key institutional trading elements such as Order Blocks, Fair Value Gaps, Rejection Blocks, Break of Structure, Pivots, High Volume Bars, and several qualitative SMC signals. In addition to SMC tools, this indicator also incorporates multi-timeframe BBMA logic, allowing traders to view higher-timeframe momentum, trend direction, and volatility envelopes directly from the current chart. This makes it easier to align SMC setups—like OB, FVG, and BOS—with BBMA structure such as MA touches, re-entry zones, extreme candles, and volatility expansions. This combination helps traders identify institutional footprints, multi-timeframe confluence, and displacement-based setups with high clarity.
Pine Script®指标
由padencodex提供
Bollinger Bands Forecast [QuantAlgo]🟢 Overview Bollinger Bands are widely recognized for mapping volatility boundaries around price action, but they inherently lag behind market movement since they calculate based on completed bars. The Bollinger Bands Forecast addresses this limitation by adding a predictive layer that attempts to project where the upper band, lower band, and basis line might position in the future. The indicator provides three unique analytical models for generating these projections: one examines swing structure and breakout patterns, another integrates volume flow and accumulation metrics, while the third applies statistical trend fitting. Traders can select whichever methodology aligns with their market view or trading style to gain visibility into potential future volatility zones that could inform position planning, risk management, and timing decisions across various asset classes and timeframes. 🟢 How It Works The core calculation begins with traditional Bollinger Bands: a moving average basis line (configurable as SMA, EMA, SMMA/RMA, WMA, or VWMA) with upper and lower bands positioned at a specified number of standard deviations away. The forecasting extension works by first generating predicted price values for upcoming bars using the selected method. These projected prices then feed into a rolling calculation that simulates how the basis line would update bar by bar, respecting the mathematical properties of the chosen moving average type. As each new forecasted price enters the calculation window, the oldest historical price drops out, mimicking the natural progression of the moving average. The system recalculates standard deviation across this evolving price window and applies the multiplier to determine where upper and lower bands would theoretically sit. This process repeats for each of the forecasted bars, creating a connected chain of potential future band positions that render as dashed lines on the chart. 🟢 Key Features 1. Market Structure Model This forecasting approach interprets price through the lens of swing analysis and structural patterns. The algorithm identifies pivot highs and lows across a definable lookback window, then tracks whether price is forming higher highs and higher lows (bullish structure) or lower highs and lower lows (bearish structure). The system looks for break of structure (BOS) when price pushes beyond a previous swing point in the trending direction, or change of character (CHoCH) when price starts creating opposing swing patterns. When projecting future prices, the model considers current distance from recent swing levels and the strength of the established trend (measured by counting higher highs versus lower lows). If bullish structure dominates and price sits near a swing low, the forecast biases upward. Conversely, bearish structure near a swing high produces downward bias. ATR scaling ensures the projection magnitude relates to actual market volatility. Practical Implications for Traders: Useful when you trade based on swing points and structural breaks The Structure Influence slider (0 to 1) lets you dial in how much weight structure analysis carries versus pure trend Helps visualize where bands could form around key structural levels you're watching Works better in trending conditions where structure patterns are clearer Might be less effective in choppy, sideways markets without defined swings 2. Volume-Weighted Model This method attempts to incorporate volume flow into the price forecast. It combines three volume-based metrics: On-Balance Volume (OBV) to track cumulative buying/selling pressure, the Accumulation/Distribution Line to measure money flow, and volume-weighted price changes to emphasize moves that occur on high volume. The algorithm calculates the slope of these indicators to determine if volume is confirming price direction or diverging from it. Volume spikes above a configurable threshold are flagged as potentially significant, with the direction of the spike (whether it occurred on an up bar or down bar) influencing the forecast. When OBV, A/D Line, and volume momentum all align in the same direction, the model projects stronger moves. When they conflict or show weak volume support, the forecast becomes more conservative. Practical Implications for Traders: Relevant if you use volume analysis to confirm price moves More meaningful in markets with reliable volume data The Volume Influence parameter (0 to 1) controls how much volume factors into the projection Volume Spike Threshold adjusts sensitivity to what constitutes unusual volume Helps spot scenarios where volume doesn't support a move, suggesting possible consolidation Might be less effective in low-liquidity instruments or markets where volume reporting is unreliable 3. Linear Regression Model The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. This creates a clean trend projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent trend continues at its current rate of change, where would price be in 10 or 20 bars? Practical Implications for traders: Provides a neutral, mathematical baseline for comparison Works well when trends are steady and consistent Can be useful for backtesting since results are deterministic Requires minimal configuration beyond lookback period Might not adapt to changing market conditions as dynamically as the other methods Best suited for trending markets rather than ranging or volatile conditions 🟢 Universal Applications Across All Models Regardless of which forecasting method you select, the indicator projects future Bollinger Band positions that may help with: ▶ Pre-planning entries and exits: See where potential support (lower band) or resistance (upper band) might develop before price gets there ▶ Volatility context: Observe whether forecasted bands are widening (suggesting potential volatility expansion) or narrowing (possible compression or squeeze setup) ▶ Target setting: Reference projected band levels when determining profit targets or stop placement ▶ Mean reversion scenarios: Visualize potential paths back toward the basis line when price extends to a band extreme ▶ Breakout anticipation: Consider where upper or lower bands might sit if price begins a strong directional move ▶ Strategy development: Build trading rules around forecasted band interactions, such as entering when price is projected to return to the basis or exit when forecasts show band expansion ▶ Method comparison: Switch between the three forecasting models to see if they agree or diverge, potentially using consensus as a confidence filter It's critical to understand that these forecasts are projections based on recent market behavior. Markets are complex systems influenced by countless factors that cannot be captured in a technical calculation or predicted perfectly. The forecasted bands represent one possible scenario of how volatility might unfold, so actual price action may still diverge from these projections. Past performance and historical patterns provide no assurance of future results. Use these forecasts as one input within a broader trading framework that includes proper risk management, position sizing, and multiple forms of analysis. The value lies not in prediction accuracy but in helping you think probabilistically about potential market states and plan accordingly.
Pine Script®指标
由QuantAlgo提供
1
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)This script provides optimized scalping signals for BTC, designed mainly for the 15-minute timeframe. Long/short entries are generated using VWAP band position and trend confirmation logic. OBV momentum is used as a secondary filter to validate breakout or reversal conditions. Exit signals are displayed when volatility compression or mean-reversion conditions occur. Simple visual markers (triangles and circles) are included for easy decision-making. 롱/숏 삼각형 시그널 동그라미 청산 시그널 VWAP 밴드 기반 방향성 OBV 보조지표 이름 (Name) BTC Scalping Signal – VWAP + OBV 짧은 설명 (Short Description) VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다. 긴 설명 (Long Description) 이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다. VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다. OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다. 시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다. 삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
Pine Script®指标
由ninnikuya2294提供
Regime EngineRegime Engine Overview Regime Engine is a market regime detection system that classifies price action into bullish, bearish, or neutral states using weighted exponential moving average analysis. Once the regime is identified, the indicator generates buy and sell signals based on Donchian channel breakouts, filtered by ADX trend strength and RSI momentum conditions. The Money Line The core of regime detection is the Money Line, a weighted combination of two exponential moving averages. By default, the short EMA (8 periods) receives 60% weight while the long EMA (24 periods) receives 40% weight. This weighting allows the Money Line to be more responsive than a simple long-period average while remaining smoother than a short-period average alone. The Money Line changes color based on the current regime: green for bullish, red for bearish, and yellow for neutral. This provides immediate visual feedback about the market state. Regime Classification The indicator determines market regime by comparing the relative positions of the short and long EMAs while also considering RSI levels to avoid classifying overbought or oversold conditions as trend states. Bullish regime is identified when the short EMA is above the long EMA and RSI is not in overbought territory. This combination suggests upward momentum that is not yet exhausted. Bearish regime is identified when the short EMA is below the long EMA and RSI is not in oversold territory. This indicates downward momentum with room to continue. Neutral regime applies when the EMAs are close together or RSI conditions prevent trend classification. The indicator provides two optional methods for enhanced neutral detection. Neutral Zone Detection Markets often transition through periods where trend direction is unclear. The indicator offers two complementary methods for detecting these neutral zones. The slope method examines the rate of change of the Money Line relative to ATR. When the Money Line is moving slowly (slope below a tolerance threshold), the market is classified as neutral regardless of EMA positioning. The EMA distance method calculates the percentage distance between the short and long EMAs. When they are within a specified percentage of each other, the EMAs are considered too close to reliably indicate direction. Either or both methods can be enabled, and if either triggers, the regime is classified as neutral. Donchian Channel Signals Buy and sell signals are generated when price interacts with the Donchian channel boundaries. The Donchian channel plots the highest high and lowest low over a lookback period (default 20 bars), offset by one bar to prevent repainting. Buy signals trigger when price touches or breaks below the lower Donchian band, indicating a potential support level. Sell signals trigger when price touches or breaks above the upper Donchian band, indicating potential resistance. An optional setting requires the close to confirm the break rather than just the wick, providing more conservative signal generation. ADX Trend Strength Filter The Average Directional Index filters signals to ensure they occur during trending conditions. When enabled, signals only fire if ADX exceeds the threshold (default 24), confirming that the market has sufficient directional momentum for breakout trades to succeed. The indicator uses Wilder's original smoothing method for ADX calculation, providing the traditional interpretation of trend strength values. RSI Momentum Filter RSI provides additional signal filtering to ensure entries occur at favorable momentum levels. Buy signals require RSI to be at or below the oversold threshold (default 30), indicating potential exhaustion of selling pressure. Sell signals require RSI to be at or above the overbought threshold (default 70), suggesting exhaustion of buying pressure. These filters can be disabled for traders who prefer unfiltered Donchian breakout signals. BBWP Volatility Monitoring Bollinger Band Width Percentile measures current volatility relative to its historical range. The indicator calculates BB width and ranks it against the specified lookback period (default 252 bars, approximately one trading year). BBWP above 70% indicates elevated volatility, which may signal trend acceleration or potential reversals. BBWP below 30% indicates compressed volatility, often preceding significant moves. The information panel displays the current BBWP reading with color coding to highlight these conditions. Signal Cooldown To prevent signal clustering during extended breakout periods, a configurable cooldown prevents new signals of the same type for a specified number of bars after each signal. This ensures each signal represents a distinct trading opportunity. Visual Components The Donchian channel can display shaded bands between the upper and lower boundaries. The shading color reflects the current regime: green for bullish, magenta for bearish, and blue for neutral. This provides at-a-glance context for where price is trading within its recent range. An ADX strength bar at the bottom of the chart uses color coding: white for weak trend (ADX below 15), orange for ranging (ADX 15-24), and blue for trending (ADX above 24). This matches the trend strength display in the information panel. Price labels appear at signal locations showing the signal type and entry price. Labels are automatically cleaned up after reaching a configurable history limit to maintain chart performance. Signal candles are highlighted in blue, making it easy to identify exactly which bars generated signals when reviewing historical performance. Information Panel A compact table displays key metrics: current regime bias, trend strength classification, BBWP volatility reading, RSI level, and ADX value. Each metric is color-coded to highlight favorable or unfavorable conditions. The panel can be positioned at any corner or middle edge of the chart. An alternative label-based display anchored to the chart is also available for those who prefer that format. Trend Persistence Option By default, the regime is recalculated on every bar. An optional persistence mode changes this behavior so that the regime only changes on EMA crossovers. This reduces regime flipping during choppy conditions but may delay regime recognition during gradual trend changes. How to Use Monitor the Money Line color and information panel for current regime. In bullish regimes, focus on buy signals at the lower Donchian band as potential pullback entries. In bearish regimes, focus on sell signals at the upper band as potential short entries or exit points. Use the ADX strength indicator to gauge signal reliability. Signals during trending conditions (blue ADX bar) have historically higher success rates than signals during ranging conditions (orange bar) or weak trends (white bar). Watch BBWP for volatility context. Low BBWP readings suggest a significant move may be developing, while high readings indicate the current move may be overextended. The combination of regime awareness, Donchian breakout signals, and ADX/RSI filtering provides a structured approach to identifying trading opportunities across different market conditions. Settings Guidance The default settings work well for cryptocurrency and forex markets on intraday timeframes. For stocks or longer timeframes, consider increasing the EMA periods and Donchian lookback. The ADX threshold can be adjusted based on the typical ADX range for the traded instrument. The RSI filter levels can be relaxed (higher oversold, lower overbought) for more signals or tightened for higher-quality but less frequent signals. The cooldown period should be adjusted based on timeframe, with shorter timeframes typically requiring longer cooldown periods.
Pine Script®指标
由ralis24提供