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Normalized Fibonacci Retracement (MTF/LOG)A question: Instead of creating indicators that constantly plot Fibonacci Retracement levels in a visually overwhelming way, why don't we redefine them on a different scale? 🤨 Overview The Normalized Fibonacci Retracement indicator converts price data to a 0-100 scale based on the selected timeframe's high-low range, displaying normalized candlesticks alongside standard Fibonacci levels (23.6%, 38.2%, 50%, 61.8%, 78.6%). This normalization reveals patterns that may be hidden in absolute price charts and allows consistent analysis across different instruments. Originality By normalizing prices to percentages, this indicator enables pattern recognition independent of absolute price levels. The same formation at $10-$20 and $1000-$2000 appears identical on the normalized scale, helping traders identify recurring structures across various assets and timeframes. Concepts The indicator uses a simple formula to transform price data into percentages. This creates a bounded scale where patterns become comparable regardless of the underlying asset's price range. The normalized view often reveals symmetries and relationships not visible in traditional price charts. Mechanics The system tracks highs and lows within the selected timeframe as anchor points. When a new period begins, fresh boundaries are established and prices recalculated. Trend direction is determined by timing of extremes. Linear scaling uses direct percentage calculation, while logarithmic scaling applies exponential interpolation for assets with large percentage moves. Functions Timeframe Selection: Higher timeframe analysis on any chart resolution Normalized Display: OHLC data converted to 0-100 percentage scale Fibonacci Levels: Standard retracement levels plotted automatically Scaling Options: Linear or logarithmic calculation methods Pattern Recognition: Reveals formations hidden in absolute price charts Moving Average: Optional 20-period SMA overlay Notes Ensure chart data covers the full selected timeframe for accurate calculations. Use logarithmic scaling for volatile assets with large percentage moves. The normalized scale is effective at revealing patterns and structures that remain consistent across different price ranges, making it particularly useful for comparative analysis and pattern-based trading strategies. I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
Penunjuk Pine Script®
oleh dg_factor
3
Delta Volume Movement TrackerOverview This Pine Script, titled "Delta Volume Movement Tracker," is a sophisticated volume analysis tool designed to run in a separate pane below the main price chart. Its primary purpose is to dissect market activity by analyzing volume data from a lower timeframe to provide a clearer picture of the real buying and selling pressure behind price movements. The core concept is to look at the volume delta (up-tick volume minus down-tick volume) from a faster timeframe (e.g., 1-minute) and correlate it with the price action on the current chart. This allows the indicator to distinguish between different market scenarios, such as strong, confirmed buying versus selling pressure that occurs even as the price rises. Key Components 1. Lower Timeframe Volume Delta The script's engine is the ta.requestUpAndDownVolume() function. It pulls detailed volume data from a user-specified lower timeframe. This provides a high-resolution view of the order flow. From this, it calculates the delta, which is the net difference between buying and selling volume. Positive Delta: More volume occurred on up-ticks than down-ticks, suggesting buying pressure. Negative Delta: More volume occurred on down-ticks than up-ticks, suggesting selling pressure. 2. Categorizing Price and Volume Interaction The script intelligently categorizes market action by looking at both the direction of the price change and the sign of the volume delta. This creates four distinct conditions: Strong Buying (upPositiveDelta): Price is moving up, AND the volume delta is positive. This is a confirmation signal, indicating that the upward price move is supported by aggressive buying. Selling into Strength (upNegativeDelta): Price is moving up, BUT the volume delta is negative. This is a divergence, suggesting that despite the price rise, larger players may be distributing or selling into the rally. Buying into Weakness (downPositiveDelta): Price is moving down, BUT the volume delta is positive. This is also a divergence, suggesting that buyers are stepping in to absorb the selling pressure, potentially indicating a bottom. Strong Selling (downNegativeDelta): Price is moving down, AND the volume delta is negative. This is a confirmation signal, indicating that the downward price move is supported by aggressive selling. 3. Price-Weighted Summation Instead of just counting the occurrences, the script calculates a rolling sum for each category over a lookbackPeriod. Crucially, it weights these values by the close price, effectively measuring the monetary value of the flow in each category. This gives more significance to volume that occurs at higher price levels. How It Appears on the Chart The indicator plots the two most powerful confirmation signals as columns to make them easy to interpret: Green Columns (upBuySum): Represents the cumulative, price-weighted value of "Strong Buying." Taller green bars indicate significant and sustained buying pressure. Red Columns (downSellSum): Represents the cumulative, price-weighted value of "Strong Selling." Taller red bars indicate significant and sustained selling pressure. EMA Lines: Smooth exponential moving averages of both the buying and selling plots are overlaid to help identify the prevailing trend in order flow. Filled Zones: The areas beneath the zero line and the plotted columns are filled with color, making it easy to visually gauge the magnitude of buying or selling pressure at a glance. In summary, this indicator provides a nuanced view of market dynamics, helping traders see beyond simple price action to understand the strength and conviction of the buyers and sellers driving the trend.
Penunjuk Pine Script®
oleh Cmo22
Machine Learning RSI with MatrixThe "Machine Learning RSI with Matrix," is an adaptive version of the traditional Relative Strength Index (RSI). It's designed to dynamically adjust to changing market conditions by learning from past price action. Instead of using a fixed calculation, it employs machine learning concepts to create a more responsive and nuanced momentum oscillator. Core Concepts At its heart, the indicator analyzes market characteristics like momentum and volatility over a long lookback period. It uses this information to: Cluster Market Regimes: It categorizes the market's volatility into different states or "clusters." This allows the indicator to behave differently in calm, normal, or highly volatile environments. Store Patterns: A unique "matrix" system stores recent RSI patterns corresponding to each volatility cluster. This creates a memory of what has happened before in similar market conditions, helping it anticipate future behavior. Generate Probabilistic Signals: It runs thousands of Monte Carlo simulations on each bar. These simulations use weighted random probabilities based on current momentum and volatility to generate a forward-looking, probabilistic signal. Dynamic and Adaptive Features This isn't a static tool. Its key strength lies in its ability to adapt in real-time: Self-Adjusting RSI Length: The indicator continuously compares its predicted RSI value to a more traditional RSI calculation. The "error" between these two is then used to dynamically adjust the RSI calculation length, making it shorter for faster response in volatile markets and longer for smoother signals in trending markets. Adaptive Learning Rate: The speed at which the indicator adapts can be set to automatically adjust based on market volatility, allowing it to learn faster when the market is moving quickly. Recursive Memory: The final output includes a "memory" component, which is a feedback loop from its own recent values. This helps create a smoother, more stable signal that is less prone to sudden spikes. Final Output and Visualization The final plotted value is a sophisticated blend of multiple elements: the adaptive RSI, the true RSI, the cluster average, and the memory average. This combined signal provides a comprehensive view of momentum. Dynamic Thresholds: The overbought and oversold levels are not fixed at 70 and 30. They move up and down based on a Z-Score of the price, which measures how extreme the current price is relative to its recent history. This helps avoid premature signals in strong trends.
Penunjuk Pine Script®
oleh Cmo22
Quantum Scalper Pro – Adaptive EMA/VWAP Hybrid Engine🧠 Quantum Scalper Pro – Adaptive EMA/VWAP Hybrid Engine Experimental version under development This strategy combines a hybrid technical analysis system based on: Multiple EMAs and smoothed VWAP Higher timeframe trend confirmation Dynamic ATR-based breakout entries Engulfing patterns and RSI divergences Adaptive risk management and smart re-entry logic 📈 The algorithm includes filters for consolidation zones, abnormal volume, outlier candles, and dynamically adjusts key parameters based on the selected timeframe. 🛡️ The risk management system is fully adaptive, scaling take-profit and stop-loss levels based on current volatility (ATR), with exit logic triggered by EMA/MVWAP crossovers or RSI overbought/oversold conditions. ⚠️ IMPORTANT: This is an experimental strategy. Past performance does not guarantee future results. Please use it strictly for backtesting or demo accounts while evaluating its behavior across different assets and market conditions.
Strategi Pine Script®
oleh Stardust117
Bull Momentum GaugeBull Momentum Gauge The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade. What it Does At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by: Calculating the price's deviation from its 365-day moving average. Normalizing this deviation into a Z-score to measure its statistical significance. Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself. The result is a single, smooth line that oscillates around a zero value. How to Use It The signals are simple and based on the indicator's relationship to the zero line: Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run. Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle. This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
Penunjuk Pine Script®
oleh Venture1987
1
Triangular Fib🔍 Features - Dynamic Lookback & Projection: Automatically adjusts the range and projection horizon based on timeframe changes. - Triangular Fibonacci Arms: Projects fib levels upward and downward from high/low extremes to highlight potential price inflections. - Volatility-Shaded Equilibrium: Visual zone highlights areas of consolidation or energy buildup before breakouts. - Breakout Alerts: Detects and signals bullish/bearish breakouts from triangular fib thresholds. - Auto-Traced Triangle Wedge: Dotted wedge lines visually represent narrowing price action from range extremes to midpoint. Ideal for traders who seek visual clarity, price symmetry, and alert-driven decision-making across multiple timeframes. Whether you're swing trading or intraday scouting, this script provides a richly layered roadmap of market potential. Not financial advice.
Penunjuk Pine Script®
oleh ximi-imibitty
7
52SIGNAL RECIPE CCI Linreg Bands═══ 52SIGNAL RECIPE CCI Linreg Bands ═══ ◆ Overview 52SIGNAL RECIPE CCI Linreg Bands is an advanced technical indicator that combines the CCI (Commodity Channel Index) with Linear Regression Bands. This indicator visualizes the volatility of the CCI using linear regression bands, helping to clearly identify overbought/oversold areas and more accurately capture potential trend reversal points. ───────────────────────────────────── ◆ Key Features • CCI-Based Overbought/Oversold Analysis: Uses the traditional CCI indicator to identify overbought/oversold conditions in the market • Integrated Linear Regression Bands: Applies linear regression analysis to the CCI to visually represent the direction and strength of trends • Dual Overbought/Oversold Levels: Sets overbought/oversold levels for both CCI and Linear Regression Bands to increase the accuracy of signals • Advanced Visualization: Intuitive chart analysis is possible with color changes according to trend direction and clear band display • Multiple Alert Settings: Alert functions for various conditions ensure you don't miss important trading moments ───────────────────────────────────── ◆ Technical Foundation ■ CCI (Commodity Channel Index) • Basic Settings: 20-period CCI with Weighted Moving Average (WMA) applied • Calculation Method: Measures the deviation from the average price normalized to a specific range • Overbought/Oversold Levels: Default values set to +150 (overbought) and -150 (oversold) ■ Linear Regression Bands • Period: Default value of 100 days • Deviation: Default value of 4.5 standard deviations • Center Line: The center line of the linear regression analysis for the CCI values • Band Width: Displays the range of volatility around the center line based on the calculated standard deviation • Overbought/Oversold Levels: Default values set to +250 (overbought) and -250 (oversold) ───────────────────────────────────── ◆ Practical Applications ■ Identifying Trading Signals • Buy Signal: ▶ When the CCI falls below the oversold level (-150) ▶ When the lower band of the Linear Regression Bands falls below the oversold level (-250) ▶ When both conditions are met simultaneously (extreme oversold state) - a strong buy signal • Sell Signal: ▶ When the CCI rises above the overbought level (+150) ▶ When the upper band of the Linear Regression Bands rises above the overbought level (+250) ▶ When both conditions are met simultaneously (extreme overbought state) - a strong sell signal ■ Trend Analysis • Uptrend: When the linear regression center line is rising and the CCI is moving above the zero line • Downtrend: When the linear regression center line is falling and the CCI is moving below the zero line • Trend Strength: The wider the gap between the bands, the greater the volatility; the narrower, the more stable the trend ■ Divergence Confirmation • Bearish Divergence: Price forms a new high, but the CCI is lower than the previous high (potential bearish signal) • Bullish Divergence: Price forms a new low, but the CCI is higher than the previous low (potential bullish signal) ───────────────────────────────────── ◆ Advanced Setting Options ■ CCI Setting Adjustments • CCI Source: Selectable options include Close (default), Open, High, Low, HL2, HLC3, OHLC4, etc. • CCI Length: Adjust to lower values for short-term volatility, higher values for long-term trends ■ Linear Regression Setting Adjustments • Period: Use lower values (20-50) for short-term analysis, higher values (100-200) for long-term analysis • Deviation: Higher values create wider bands (more signals), lower values create narrower bands (more accurate signals) ■ Overbought/Oversold Level Adjustments • CCI Levels: Adjust to more extreme values (±200) in highly volatile markets • Linear Regression Band Levels: Adjustable to ±300 or ±200 depending on market conditions ───────────────────────────────────── ◆ Synergy with Other Indicators • Bollinger Bands: Use alongside Bollinger Bands on the price chart to compare price volatility with CCI volatility • MACD: Use with MACD for momentum and trend confirmation • Fibonacci Retracement: Check CCI Linreg Bands signals with key support/resistance levels • Moving Averages: Combine moving average crossovers with CCI Linreg Bands signals to improve reliability ───────────────────────────────────── ◆ Conclusion 52SIGNAL RECIPE CCI Linreg Bands provides a powerful and accurate technical analysis tool by combining traditional CCI with linear regression analysis. The dual overbought/oversold system increases the accuracy of trading signals and clearly visualizes trend direction and strength to help traders make decisions. You can achieve optimal results by adjusting various settings to match your trading style and market conditions. ───────────────────────────────────── ※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies. ═══ 52SIGNAL RECIPE CCI 선형회귀 밴드 ═══ ◆ 개요 52SIGNAL RECIPE CCI 선형회귀 밴드는 CCI(Commodity Channel Index)와 선형회귀 밴드를 결합한 고급 기술적 지표입니다. 이 지표는 선형회귀 밴드를 사용하여 CCI의 변동성을 시각화하여 과매수/과매도 영역을 명확하게 식별하고 잠재적인 추세 반전 지점을 더 정확하게 포착하는 데 도움을 줍니다. ───────────────────────────────────── ◆ 주요 특징 • CCI 기반 과매수/과매도 분석: 전통적인 CCI 지표를 사용하여 시장의 과매수/과매도 상태를 식별 • 통합된 선형회귀 밴드: CCI에 선형회귀 분석을 적용하여 추세의 방향과 강도를 시각적으로 표현 • 이중 과매수/과매도 레벨: CCI와 선형회귀 밴드 모두에 과매수/과매도 레벨을 설정하여 신호의 정확도 향상 • 고급 시각화: 추세 방향에 따른 색상 변화와 명확한 밴드 표시로 직관적인 차트 분석 가능 • 다중 알림 설정: 다양한 조건에 대한 알림 기능으로 중요한 트레이딩 시점을 놓치지 않도록 보장 ───────────────────────────────────── ◆ 기술적 기반 ■ CCI (Commodity Channel Index) • 기본 설정: 20기간 CCI에 가중이동평균(WMA) 적용 • 계산 방법: 평균 가격에 대한 편차를 측정하여 정규화한 값으로 표현 • 과매수/과매도 레벨: 기본값으로 +150(과매수)과 -150(과매도) 설정 ■ 선형회귀 밴드 • 기간: 기본값 100일 • 편차: 기본값 4.5 표준편차 • 중심선: CCI 값에 대한 선형회귀 분석의 중심선 • 밴드 폭: 계산된 표준편차에 기반하여 중심선 주변의 변동성 범위 표시 • 과매수/과매도 레벨: 기본값으로 +250(과매수)와 -250(과매도) 설정 ───────────────────────────────────── ◆ 실용적 응용 ■ 트레이딩 신호 식별 • 매수 신호: ▶ CCI가 과매도 레벨(-150) 아래로 떨어질 때 ▶ 선형회귀 밴드의 하단이 과매도 레벨(-250) 아래로 떨어질 때 ▶ 두 조건이 동시에 충족될 때(극단적 과매도 상태) - 강한 매수 신호 • 매도 신호: ▶ CCI가 과매수 레벨(+150) 위로 상승할 때 ▶ 선형회귀 밴드의 상단이 과매수 레벨(+250) 위로 상승할 때 ▶ 두 조건이 동시에 충족될 때(극단적 과매수 상태) - 강한 매도 신호 ■ 추세 분석 • 상승 추세: 선형회귀 중심선이 상승하고 CCI가 0선 위로 움직일 때 • 하락 추세: 선형회귀 중심선이 하락하고 CCI가 0선 아래로 움직일 때 • 추세 강도: 밴드 사이의 간격이 넓을수록 변동성이 크고, 좁을수록 추세가 안정적 ■ 다이버전스 확인 • 약세 다이버전스: 가격이 신고점을 형성하지만 CCI가 이전 고점보다 낮을 때(잠재적 약세 신호) • 강세 다이버전스: 가격이 신저점을 형성하지만 CCI가 이전 저점보다 높을 때(잠재적 강세 신호) ───────────────────────────────────── ◆ 고급 설정 옵션 ■ CCI 설정 조정 • CCI 소스: 선택 가능한 옵션에는 종가(기본값), 시가, 고가, 저가, HL2, HLC3, OHLC4 등이 포함 • CCI 길이: 단기 변동성을 위해 낮은 값으로, 장기 추세를 위해 높은 값으로 조정 ■ 선형회귀 설정 조정 • 기간: 단기 분석을 위해 낮은 값(20-50), 장기 분석을 위해 높은 값(100-200) 사용 • 편차: 높은 값은 더 넓은 밴드(더 많은 신호), 낮은 값은 더 좁은 밴드(더 정확한 신호) 생성 ■ 과매수/과매도 레벨 조정 • CCI 레벨: 변동성이 큰 시장에서는 더 극단적인 값(±200)으로 조정 • 선형회귀 밴드 레벨: 시장 상황에 따라 ±300 또는 ±200으로 조정 가능 ───────────────────────────────────── ◆ 다른 지표와의 시너지 • 볼린저 밴드: 가격 차트의 볼린저 밴드와 함께 사용하여 가격 변동성과 CCI 변동성 비교 • MACD: 모멘텀과 추세 확인을 위해 MACD와 함께 사용 • 피보나치 되돌림: CCI 선형회귀 밴드 신호를 주요 지지/저항 레벨과 함께 확인 • 이동평균선: 이동평균 교차와 CCI 선형회귀 밴드 신호를 결합하여 신뢰성 향상 ───────────────────────────────────── ◆ 결론 52SIGNAL RECIPE CCI 선형회귀 밴드는 전통적인 CCI와 선형회귀 분석을 결합하여 강력하고 정확한 기술적 분석 도구를 제공합니다. 이중 과매수/과매도 시스템은 트레이딩 신호의 정확도를 높이고 추세 방향과 강도를 명확하게 시각화하여 트레이더의 의사 결정을 돕습니다. 다양한 설정을 트레이딩 스타일과 시장 상황에 맞게 조정하여 최적의 결과를 얻을 수 있습니다. ───────────────────────────────────── ※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Penunjuk Pine Script®
oleh five2ventures
52SIGNAL RECIPE RSI Linreg Bands═══ 52SIGNAL RECIPE RSI Linreg Bands ═══ ◆ Overview 52SIGNAL RECIPE RSI Linreg Bands is an advanced technical indicator that combines the RSI (Relative Strength Index) with Linear Regression Bands. This indicator visualizes the volatility of the RSI using linear regression bands, helping to clearly identify overbought/oversold areas and more accurately capture potential trend reversal points. ───────────────────────────────────── ◆ Key Features • RSI-Based Overbought/Oversold Analysis: Uses the traditional RSI indicator to identify overbought/oversold conditions in the market • Integrated Linear Regression Bands: Applies linear regression analysis to the RSI to visually represent the direction and strength of trends • Dual Overbought/Oversold Levels: Sets overbought/oversold levels for both RSI and Linear Regression Bands to increase the accuracy of signals • Advanced Visualization: Intuitive chart analysis is possible with color changes according to trend direction and clear band display • Multiple Alert Settings: Alert functions for various conditions ensure you don't miss important trading moments ───────────────────────────────────── ◆ Technical Foundation ■ RSI (Relative Strength Index) • Basic Settings: 14-period RSI with 5-period Weighted Moving Average (WMA) applied • Calculation Method: Measures the relative strength of gains and losses, expressed as a value between 0-100 • Overbought/Oversold Levels: Default values set to 70 (overbought) and 30 (oversold) ■ Linear Regression Bands • Period: Default value of 100 days • Deviation: Default value of 2.5 standard deviations • Center Line: The center line of the linear regression analysis for the RSI values • Band Width: Displays the range of volatility around the center line based on the calculated standard deviation • Overbought/Oversold Levels: Default values set to 85 (overbought) and 15 (oversold) ───────────────────────────────────── ◆ Practical Applications ■ Identifying Trading Signals • Buy Signal: ▶ When the RSI falls below the oversold level (30) ▶ When the lower band of the Linear Regression Bands falls below the oversold level (15) ▶ When both conditions are met simultaneously (extreme oversold state) - a strong buy signal • Sell Signal: ▶ When the RSI rises above the overbought level (70) ▶ When the upper band of the Linear Regression Bands rises above the overbought level (85) ▶ When both conditions are met simultaneously (extreme overbought state) - a strong sell signal ■ Trend Analysis • Uptrend: When the linear regression center line is rising and the RSI is moving above the midline (50) • Downtrend: When the linear regression center line is falling and the RSI is moving below the midline (50) • Trend Strength: The wider the gap between the bands, the greater the volatility; the narrower, the more stable the trend ■ Divergence Confirmation • Bearish Divergence: Price forms a new high, but the RSI is lower than the previous high (potential bearish signal) • Bullish Divergence: Price forms a new low, but the RSI is higher than the previous low (potential bullish signal) ───────────────────────────────────── ◆ Advanced Setting Options ■ RSI Setting Adjustments • RSI Source: Selectable options include Close (default), Open, High, Low, HL2, HLC3, OHLC4, etc. • RSI Length: Adjust to lower values for short-term volatility, higher values for long-term trends ■ Linear Regression Setting Adjustments • Period: Use lower values (20-50) for short-term analysis, higher values (100-200) for long-term analysis • Deviation: Higher values create wider bands (more signals), lower values create narrower bands (more accurate signals) ■ Overbought/Oversold Level Adjustments • RSI Levels: Adjust to more extreme values (80/20) in highly volatile markets • Linear Regression Band Levels: Adjustable to 90/10 or 80/20 depending on market conditions ───────────────────────────────────── ◆ Synergy with Other Indicators • Bollinger Bands: Use alongside Bollinger Bands on the price chart to compare price volatility with RSI volatility • MACD: Use with MACD for momentum and trend confirmation • Fibonacci Retracement: Check RSI Linreg Bands signals with key support/resistance levels • Moving Averages: Combine moving average crossovers with RSI Linreg Bands signals to improve reliability ───────────────────────────────────── ◆ Conclusion 52SIGNAL RECIPE RSI Linreg Bands provides a powerful and accurate technical analysis tool by combining traditional RSI with linear regression analysis. The dual overbought/oversold system increases the accuracy of trading signals and clearly visualizes trend direction and strength to help traders make decisions. You can achieve optimal results by adjusting various settings to match your trading style and market conditions. ───────────────────────────────────── ※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies. ═══ 52SIGNAL RECIPE RSI 선형회귀 밴드 ═══ ◆ 개요 52SIGNAL RECIPE RSI 선형회귀 밴드는 RSI(상대강도지수)와 선형회귀 밴드를 결합한 고급 기술적 지표입니다. 이 지표는 선형회귀 밴드를 사용하여 RSI의 변동성을 시각화하여 과매수/과매도 영역을 명확하게 식별하고 잠재적인 추세 반전 지점을 더 정확하게 포착하는 데 도움을 줍니다. ───────────────────────────────────── ◆ 주요 특징 • RSI 기반 과매수/과매도 분석: 전통적인 RSI 지표를 사용하여 시장의 과매수/과매도 상태를 식별 • 통합된 선형회귀 밴드: RSI에 선형회귀 분석을 적용하여 추세의 방향과 강도를 시각적으로 표현 • 이중 과매수/과매도 레벨: RSI와 선형회귀 밴드 모두에 과매수/과매도 레벨을 설정하여 신호의 정확도 향상 • 고급 시각화: 추세 방향에 따른 색상 변화와 명확한 밴드 표시로 직관적인 차트 분석 가능 • 다중 알림 설정: 다양한 조건에 대한 알림 기능으로 중요한 트레이딩 시점을 놓치지 않도록 보장 ───────────────────────────────────── ◆ 기술적 기반 ■ RSI (상대강도지수) • 기본 설정: 14기간 RSI에 5기간 가중이동평균(WMA) 적용 • 계산 방법: 상승과 하락의 상대적 강도를 측정하여 0-100 사이의 값으로 표현 • 과매수/과매도 레벨: 기본값으로 70(과매수)과 30(과매도) 설정 ■ 선형회귀 밴드 • 기간: 기본값 100일 • 편차: 기본값 2.5 표준편차 • 중심선: RSI 값에 대한 선형회귀 분석의 중심선 • 밴드 폭: 계산된 표준편차에 기반하여 중심선 주변의 변동성 범위 표시 • 과매수/과매도 레벨: 기본값으로 85(과매수)와 15(과매도) 설정 ───────────────────────────────────── ◆ 실용적 응용 ■ 트레이딩 신호 식별 • 매수 신호: ▶ RSI가 과매도 레벨(30) 아래로 떨어질 때 ▶ 선형회귀 밴드의 하단이 과매도 레벨(15) 아래로 떨어질 때 ▶ 두 조건이 동시에 충족될 때(극단적 과매도 상태) - 강한 매수 신호 • 매도 신호: ▶ RSI가 과매수 레벨(70) 위로 상승할 때 ▶ 선형회귀 밴드의 상단이 과매수 레벨(85) 위로 상승할 때 ▶ 두 조건이 동시에 충족될 때(극단적 과매수 상태) - 강한 매도 신호 ■ 추세 분석 • 상승 추세: 선형회귀 중심선이 상승하고 RSI가 중간선(50) 위로 움직일 때 • 하락 추세: 선형회귀 중심선이 하락하고 RSI가 중간선(50) 아래로 움직일 때 • 추세 강도: 밴드 사이의 간격이 넓을수록 변동성이 크고, 좁을수록 추세가 안정적 ■ 다이버전스 확인 • 약세 다이버전스: 가격이 신고점을 형성하지만 RSI가 이전 고점보다 낮을 때(잠재적 약세 신호) • 강세 다이버전스: 가격이 신저점을 형성하지만 RSI가 이전 저점보다 높을 때(잠재적 강세 신호) ───────────────────────────────────── ◆ 고급 설정 옵션 ■ RSI 설정 조정 • RSI 소스: 선택 가능한 옵션에는 종가(기본값), 시가, 고가, 저가, HL2, HLC3, OHLC4 등이 포함 • RSI 길이: 단기 변동성을 위해 낮은 값으로, 장기 추세를 위해 높은 값으로 조정 ■ 선형회귀 설정 조정 • 기간: 단기 분석을 위해 낮은 값(20-50), 장기 분석을 위해 높은 값(100-200) 사용 • 편차: 높은 값은 더 넓은 밴드(더 많은 신호), 낮은 값은 더 좁은 밴드(더 정확한 신호) 생성 ■ 과매수/과매도 레벨 조정 • RSI 레벨: 변동성이 큰 시장에서는 더 극단적인 값(80/20)으로 조정 • 선형회귀 밴드 레벨: 시장 상황에 따라 90/10 또는 80/20으로 조정 가능 ───────────────────────────────────── ◆ 다른 지표와의 시너지 • 볼린저 밴드: 가격 차트의 볼린저 밴드와 함께 사용하여 가격 변동성과 RSI 변동성 비교 • MACD: 모멘텀과 추세 확인을 위해 MACD와 함께 사용 • 피보나치 되돌림: RSI 선형회귀 밴드 신호를 주요 지지/저항 레벨과 함께 확인 • 이동평균선: 이동평균 교차와 RSI 선형회귀 밴드 신호를 결합하여 신뢰성 향상 ───────────────────────────────────── ◆ 결론 52SIGNAL RECIPE RSI 선형회귀 밴드는 전통적인 RSI와 선형회귀 분석을 결합하여 강력하고 정확한 기술적 분석 도구를 제공합니다. 이중 과매수/과매도 시스템은 트레이딩 신호의 정확도를 높이고 추세 방향과 강도를 명확하게 시각화하여 트레이더의 의사 결정을 돕습니다. 다양한 설정을 트레이딩 스타일과 시장 상황에 맞게 조정하여 최적의 결과를 얻을 수 있습니다. ───────────────────────────────────── ※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Penunjuk Pine Script®
oleh five2ventures
Intraday Trend Pro📈 Intraday Trend Pro — Multi-Timeframe Smart Indicator Unlock precision in your intraday trading with Intraday Trend Pro, a powerful and versatile indicator built for serious traders. This tool is designed to: ✅ Identify the True Intraday Trend Quickly and clearly spot bullish or bearish trends using a refined algorithm that filters out noise and false signals. ✅ Smart Entry & Stop Loss Suggestions The script dynamically suggests optimal entry points and protective stop-loss levels, helping you manage risk and improve trade timing. ✅ Multi-Timeframe Analysis (MTF) Enable the optional MTF mode to blend higher timeframes with the current chart for a more reliable signal confirmation, enhancing your confidence before entering a trade. ✅ Works Seamlessly Across Assets Whether you’re trading indices like BankNifty, commodities like XAU/USD, or high-volume stocks, this indicator adjusts to deliver actionable insights. ✅ Customization Made Easy Input controls allow you to fine-tune the trend settings, select timeframes, and adapt to your unique strategy—whether scalping or holding through the day. Use Cases: Confirming trend strength before entering trades Determining accurate support/resistance for SL placement Avoiding sideways markets and false breakouts Aligning trades with higher timeframe momentum Ideal For: Intraday traders and scalpers looking for a clean, accurate, and multi-timeframe-aware tool to improve consistency.
Penunjuk Pine Script®
oleh amitksom
2
Range & Consolidation DetectorHello friends, I’m excited to share my latest discovery with you — the Range & Consolidation Detector. This script is built on a unique methodology I’m truly proud of. It uses no traditional indicators like ADX, RSI, or ATR — just pure statistics and mathematics under the hood. No parameters to tweak, no settings to guess — it just works, right out of the box. 🛠️ How It Works At its core is a proprietary formula that reliably identifies ranging conditions across all tickers and timeframes. It’s simple, robust, and consistent — exactly what traders need to spot sideways markets without noise or lag. 🔥 Key Features Pine Script v6 – Uses the latest version for maximum performance Zero configuration – No inputs to adjust, no hidden settings — the algorithm works automatically Optimized performance – Runs efficiently for smooth charting Universal compatibility – Works flawlessly on any asset and timeframe, in every market condition — from euphoric peaks to choppy ranges 📸 Visual Examples If you’d like access or have any questions, feel free to reach out to me directly via DM. 👋 Good luck and happy trading!
Penunjuk Pine Script®
oleh everget
42
The Great Anchors: Dual AVWAP Powered by RSI The Great Anchors *Dual Anchored Volume Weighted Average Price Powered by RSI* --- 📌 Overview The Great Anchors is a dual AVWAP-based indicator that resets dynamically using RSI extremes — either from the current asset or a master symbol (e.g., BTCUSDT). It identifies meaningful shifts in price structure and momentum using these "anchored" levels. It’s designed to help traders spot trend continuations, momentum inflection points, and entry signals aligned with overbought/oversold conditions — but only when the market confirms through volume-weighted price direction. --- 🛠 Core Logic • AVWAP 1 (favwap): Anchored when RSI reaches overbought levels (top anchor) • AVWAP 2 (savwap): Anchored when RSI reaches oversold levels (bottom anchor) • AVWAPs are recalculated each time a new OB/OS condition is triggered — acting like "fresh anchors" at key market turning points. --- ⚙️ Key Features 🔁 Auto or Manual RSI Thresholds → Automatically determines dynamic RSI OB/OS levels based on past peaks and troughs, or lets you set fixed levels. 🧠 Master Symbol Control → Use the RSI of a separate asset (like BTCUSDT, ETHUSDT, SOLUSDT, BNBUSDT, SUPRAUSDT) or indices (like TOTAL, TOTAL2, BFR) to control resets — ideal for tracking how BTC/major coins impacts altcoins/others. 🔍 Trend-Filtering Signal Logic → Signals are filtered for less noise and are triggered when: - Both AVWAPs are rising (bullish) or falling (bearish) - Price action confirms the structure 🎯 Visual Markers & Alerts → "💥" for bullish signals and "🔥" for bearish ones. Alerts included for automation or push notifications. --- 🎯 How to Use It 1. Add the indicator to your chart. 2. Choose whether to use RSI from the current symbol or a master symbol (e.g., BTC). 3. Select auto-adjusted or manual OB/OS levels. 4. Watch for: - AVWAP(s) making a significant change (at this point it's one of the AVWAPs resetting) - Check if price flip it upwards or downwards - If price goes above both AVWAPs thats a likely bullish trend - If price can't go above both AVWAPs up and fall bellow both that's a likely bearish trend - Price retesting upper AVWAP and bounce - likely bullish continuation - Price retesting lower AVWAP and dip - likely bearish continuation - Signal icons on chart ("💥 - Bullish" or "🔥- Bearish") Best suited for: • Swing traders • Momentum traders • Traders timing altcoin entries using BTC/Major asset's RSI --- 🔔 Signal Explanation 💥 Bullish Signal = • Both AVWAPs rising • Higher lows in price structure • Bullish candle close • Triggered from overbought RSI reset 🔥 Bearish Signal = • Both AVWAPs falling • Lower highs in price structure • Bearish candle close • Triggered from oversold RSI reset Signals reset by opposite signals to prevent noise or overfitting. --- ⚠️ Tips & Notes • Use AVWAPs as dynamic support/resistance, even without signal triggers • Pair with volume or divergence tools for stronger confirmation --- 🧩 Credits & Philosophy This tool is built with a simple philosophy: "Anchor your trades to meaningful moments in price — not arbitrary time." The dual AVWAP concept helps you see how price reacts after momentum peaks, giving you a cleaner bias and more precise trade setups. ---
Penunjuk Pine Script®
oleh CharmyDexter
Harmonic Pattern Detector [The_lurker] 📊 Harmonic Pattern Detector An advanced indicator designed to automatically detect and visualize harmonic patterns on price charts with high accuracy. It is based on Fibonacci ratios, ZigZag structures, and pivot points, offering traders precise identification of potential reversal zones. The indicator supports detection of 13 major harmonic patterns: Gartley, Butterfly, Bat, Crab, Deep Crab, AB=CD, Cypher, Shark, Three Drives, Wolfe Waves, 5-0, Black Swan, and Anti-Gartley. Each pattern is matched using ideal Fibonacci ratios with a customizable error margin. Patterns are validated only if the similarity score (accuracy) is greater than or equal to 80%, ensuring reliable signals. 🔎 How It Works: 1️⃣ Pivot Point Detection The indicator uses a function to find major swing highs and lows (`findPivots`), based on a configurable pattern length (default is 18 candles). These pivots are stored in arrays: `pivotPrices`, `pivotBars`, and `pivotDirections`. 2️⃣ ZigZag Construction With the pivots detected, the indicator constructs a ZigZag structure by connecting the relevant price points using `buildZigZag`. These lines represent the fundamental price movements forming harmonic shapes. 3️⃣ Fibonacci Ratio Calculation From the ZigZag, the indicator extracts points labeled X, A, B, C, and D, then calculates key Fibonacci ratios: * XAB = |B-A| / |X-A| * ABC = |C-B| / |A-B| * XAD = |D-A| / |X-A| 4️⃣ Pattern Matching Algorithm Each pattern has its ideal Fibonacci ranges. The ratios are compared with these ranges using adjustable error margins: ERROR_MARGIN_MIN = (100 - DETECT_ERROR_MARGIN_PERCENT) / 100 ERROR_MARGIN_MAX = (100 + DETECT_ERROR_MARGIN_PERCENT) / 100 If all required ratios for a pattern fall within these bounds, the pattern is considered a potential match. 5️⃣ Similarity Score Calculation To evaluate accuracy, each pattern gets a similarity score by comparing actual vs. ideal ratios. For example: simXAB = min(xabRatio / idealXAB, idealXAB / xabRatio) simABC = min(abcRatio / idealABC, idealABC / abcRatio) simXAD = min(xadRatio / idealXAD, idealXAD / xadRatio) similarity = (simXAB + simABC + simXAD) / 3 Only patterns with a similarity ≥ MIN\_RATING\_PERCENT (default 80%) are shown. 6️⃣ Visual Output When a pattern is detected, it is displayed by connecting the points X→A→B→C→D. A label is drawn at point D showing: * Pattern Name * Emoji (e.g., 🦋 for Gartley) * Similarity percentage (e.g., "92%") Patterns are color-coded: 🟢 Green for Bullish 🔴 Red for Bearish ⚙️ Configurable Settings: * ENABLE_PATTERN_DETECTION`: Toggle to enable or disable pattern detection * PATTERN_LENGTH_INPUT`: Number of candles to consider for structure * DETECT_ERROR_MARGIN_PERCENT`: Controls allowed deviation from ideal Fibonacci ratios * MIN_RATING_PERCENT`: Minimum similarity percentage to display a pattern (e.g., 80%) 🎨 Display Customization: * Customize ZigZag lines (solid, dotted, dashed) * Control thickness, color, and style of lines * Adjust label font size, position, and visibility * Enable or disable specific pattern types * Modify Fibonacci levels used per pattern Labels include emojis for easier recognition: 🦋 Gartley | 🐝 Butterfly | 🦈 Shark | 🐺 Wolfe Waves | 🦢 Black Swan | ⚡ Anti-Gartley 📚 Pattern Definitions: Gartley: XAB ≈ 0.618, ABC ≈ 0.382–0.886, XAD ≈ 0.786 Butterfly: XAB ≈ 0.786, XAD ≈ 1.272 Bat: XAB ≈ 0.382–0.50, XAD ≈ 0.886 Crab / Deep Crab: XAD ≈ 1.618–1.902 AB=CD: AB equals CD (symmetrical moves) Cypher: ABC ≈ 1.13–1.414, XAD ≈ 0.786 Shark: XAD ≈ 1.0–1.13 Three Drives: Three legs with Fibonacci extensions Wolfe Waves: Geometrically aligned points, XAD ≈ 1.272–1.618 5-0: CD retraces 50% of previous wave Black Swan: Rare, sharp pattern, XAD ≈ 3.618–4.236 Anti-Gartley: Reverse Gartley with custom ratios 📈 Target Markets: This indicator is effective for analyzing: ✔ Forex ✔ Stocks ✔ Crypto ✔ Commodities (Gold, Oil, etc.) Suitable for multiple trading styles: * Scalping * Swing Trading * Position Trading ✨ Key Features: ✅ 13 harmonic patterns supported ✅ Automatic detection with accuracy scoring ✅ Adjustable error margins ✅ Fully customizable display ✅ Pattern-specific toggles ✅ Bullish/Bearish color-coded output ✅ Informative labels with pattern name, emoji, and similarity ⚠️ Disclaimer: This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses. كاشف الأنماط التوافقية 📊 مؤشر متطور مصمم للكشف التلقائي عن الأنماط التوافقية على مخططات الأسعار وتصورها بدقة عالية. يعتمد على نسب فيبوناتشي، وهياكل الزجزاج، ونقاط الارتكاز، مما يوفر للمتداولين تحديدًا دقيقًا لمناطق الانعكاس المحتملة. يدعم المؤشر الكشف عن 13 نمطًا توافقيًا رئيسيًا: جارتلي، الفراشة، الخفاش، السلطعون، السلطعون العميق، AB=CD، السايفر، القرش، ثلاثة محركات، موجات وولف، 5-0، البجعة السوداء، ومضاد جارتلي. يتم مطابقة كل نمط باستخدام نسب فيبوناتشي مثالية مع هامش خطأ قابل للتخصيص. لا يتم التحقق من صحة الأنماط إلا إذا كانت درجة التشابه (الدقة) أكبر من أو تساوي 80%، مما يضمن إشارات موثوقة. 🔎 كيفية العمل: 1️⃣ اكتشاف نقاط الارتكاز يستخدم المؤشر دالة للعثور على قمم وقيعان التأرجح الرئيسية (`findPivots`)، بناءً على طول نمط قابل للتخصيص (الطول الافتراضي هو 18 شمعة). تُخزّن هذه النقاط المحورية في مصفوفات: `pivotPrices`، `pivotBars`، `pivotDirections`. 2️⃣ بناء ZigZag بعد اكتشاف النقاط المحورية، يُنشئ المؤشر بنية ZigZag بربط نقاط السعر ذات الصلة باستخدام `buildZigZag`. تُمثل هذه الخطوط تحركات الأسعار الأساسية مُشكّلةً أشكالًا توافقية. 3️⃣ حساب نسبة فيبوناتشي من ZigZag، يستخرج المؤشر النقاط المُسمّاة X، A، B، C، وD، ثم يحسب نسب فيبوناتشي الرئيسية: * XAB = |B-A| / |X-A| * ABC = |C-B| / |A-B| * XAD = |D-A| / |X-A| 4️⃣ خوارزمية مطابقة الأنماط لكل نمط نطاقات فيبوناتشي مثالية. تُقارن النسب بهذه النطاقات باستخدام هوامش خطأ قابلة للتعديل: ERROR_MARGIN_MIN = (100 - DETECT_ERROR_MARGIN_PERCENT) / 100 ERROR_MARGIN_MAX = (100 + DETECT_ERROR_MARGIN_PERCENT) / 100 إذا وقعت جميع النسب المطلوبة للنمط ضمن هذه الحدود، يُعتبر النمط مطابقًا محتملًا. 5️⃣ حساب درجة التشابه لتقييم الدقة، يحصل كل نمط على درجة تشابه بمقارنة النسب الفعلية بالنسب المثالية. على سبيل المثال: simXAB = min(xabRatio / idealXAB, idealXAB / xabRatio) simABC = min(abcRatio / idealABC, idealABC / abcRatio) simXAD = min(xadRatio / idealXAD, idealXAD / xadRatio) التشابه = (simXAB + simABC + simXAD) / 3 يتم عرض الأنماط التي يكون تشابهها ≥ MIN\_RATING\_PERCENT (الافتراضي 80%) فقط. 6️⃣ المخرجات المرئية عند اكتشاف نمط، يتم عرضه بتوصيل النقاط X→A→B→C→D. يتم رسم علامة عند النقطة D تُظهر: * اسم النمط * رمز تعبيري (مثل 🦋 لنمط جارتلي) * نسبة التشابه (مثل "92%)) الأنماط مُرمَّزة بالألوان: 🟢 أخضر للارتفاع 🔴 أحمر للانخفاض ⚙️ إعدادات قابلة للتخصيص: * تمكين كشف النمط: تفعيل أو تعطيل كشف النمط * إدخال طول النمط: عدد الشموع المُراد حسابها للهيكل * كشف الخطأ: نسبة الهامش: يتحكم في الانحراف المسموح به عن نسب فيبوناتشي المثالية * الحد الأدنى لنسبة التشابه لعرض النمط (مثل 80%) 🎨 تخصيص العرض: * تخصيص خطوط متعرجة (متصلة، منقطة، متقطعة) * التحكم في السُمك واللون ونمط الخطوط * ضبط حجم خط التسمية وموضعه ووضوحه * تفعيل أو تعطيل أنواع أنماط محددة * تعديل مستويات فيبوناتشي المستخدمة لكل نمط تتضمن التسميات رموزًا تعبيرية لتسهيل التعرف عليها: 🦋 جارتلي | 🐝 فراشة | 🦈 سمكة قرش | 🐺 موجات وولف | 🦢 بجعة سوداء | ⚡ نمط مضاد لـ غارتلي 📚 تعريفات الأنماط: غارتلي: XAB ≈ 0.618، ABC ≈ 0.382–0.886، XAD ≈ 0.786 فراشة: XAB ≈ 0.786، XAD ≈ 1.272 خفاش: XAB ≈ 0.382–0.50، XAD ≈ 0.886 سرطان البحر/سرطان البحر العميق: XAD ≈ 1.618–1.902 AB=CD: AB يساوي CD (حركات متماثلة) سايفر: ABC ≈ 1.13–1.414، XAD ≈ 0.786 شارك: XAD ≈ 1.0–1.13 ثلاثة أرجل: ثلاثة أرجل مع فيبوناتشي امتدادات موجات وولف: نقاط متوازية هندسيًا، XAD ≈ 1.272–1.618 5-0: تصحيح CD بنسبة 50% من الموجة السابقة البجعة السوداء: نمط نادر وحاد، XAD ≈ 3.618–4.236 مضاد جارتلي: جارتلي معكوس بنسب مخصصة 📈 الأسواق المستهدفة: هذا المؤشر فعال لتحليل: ✔ الفوركس ✔ الأسهم ✔ العملات المشفرة ✔ السلع (الذهب، النفط، إلخ) مناسب لأنماط تداول متعددة: * المضاربة السريعة * تداول التأرجح * تداول المراكز ✨ الميزات الرئيسية: ✅ دعم 13 نمطًا توافقيًا ✅ كشف تلقائي مع تسجيل الدقة ✅ هوامش خطأ قابلة للتعديل ✅ شاشة قابلة للتخصيص بالكامل ✅ مفاتيح تبديل خاصة بالأنماط ✅ مخرجات مرمزة بالألوان للصعود/الهبوط ✅ تسميات توضيحية مع النمط الاسم، والرموز التعبيرية، والتشابه ⚠️ إخلاء مسؤولية: هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Penunjuk Pine Script®
oleh The_lurker
2
Smart Range Zones [Dr. Hafiz]Smart Range Zones Description: This indicator highlights key market zones — High Range, Mid Range, and Low Range — to help traders visually understand dynamic support and resistance levels. ✅ High Range: Potential supply/resistance area ✅ Mid Range: Fair value or equilibrium zone ✅ Low Range: Potential demand/support area The zones are calculated based on the highest and lowest price over a user-defined period (default: 130 bars) and dynamically projected forward. 🔸 EMA 15 Line is included as an optional trend filter — helping confirm direction or trend alignment. 🔧 Features: Auto-calculated High/Mid/Low zones Real-time dynamic projections Right-aligned zone labels inside each box Clean visual structure Toggle for showing/hiding EMA 15 📌 Best suited for: Intraday & swing traders Range breakouts and rejections Trend confirmation with EMA Created and published by Dr. Hafiz, modified under the MPL 2.0 license.
Penunjuk Pine Script®
oleh EarningWithDrHafiiz
11
WRAMA Channel (Weighted RSI ATR MA)OVERVIEW The WRAMA Channel (Weighted RSI ATR MA) is an advanced technical analysis tool designed to react more quickly to price movements compared to indicators using conventional moving averages. It combines the Relative Strength Index (RSI), Average True Range (ATR), and a weighted moving average, resulting in the WRAMA. This indicator forms a dynamic price channel based on a weighted average that incorporates both trend strength (via RSI) and market volatility (via ATR). It helps traders identify trends, potential reversals, and breakout signals, while offering broad customization options. Key Features WRAMA Price Channel: Generates a dynamic channel around the weighted moving average (WRAMA), adapting to market volatility and momentum, similar to Bollinger Bands. Users are encouraged to adjust channel width and length according to their strategy. The upper and lower channel bands are calculated based on a percentage deviation from the baseline line. The channel fill color changes depending on the price's position relative to the baseline (green above, red below), with an optional gradient for better visualization. Weighted Moving Average (WRAMA): WRAMA is a custom weighted moving average (MA1), where closing prices are weighted based on RSI and ATR, allowing it to dynamically adapt to market conditions. Baseline: The WRAMA line calculated over a user-defined period. WRAMA Calculation: RSI Weight: Based on RSI value. When RSI is in extreme zones (below the lower threshold or above the upper threshold), an extreme weight is applied. Otherwise, the weight is based on the squared RSI value divided by 100, raised to a power defined by the rsi_weight_factor. ATR Weight: Based on the ATR-to-average-ATR ratio. If ATR exceeds a threshold (atr_threshold × avg_atr), an extreme weight is applied. Otherwise, the weight is based on the squared ratio of ATR to average ATR, raised to the power of the atr_weight_factor. Combined Weight: RSI and ATR weights are combined using a rsi_atr_balance parameter. Final weight = RSI weight × balance + ATR weight × (1 - balance). WRAMA Calculation: The closing price is multiplied by the combined weight. The result is averaged over the ma_length period and divided by the average of the weights, forming the WRAMA line. For current WRAMA (ma_length = 1), the calculation simplifies to a single weighted price. Additional Moving Averages: For additional confirmations, the indicator supports up to five moving averages (MA1–MA5) with various types (SMA, EMA, WMA, HMA, ALMA) and customizable periods. All additional MAs are calculated based on WRAMA or its baseline, ensuring consistency and enabling deeper analysis within a unified methodology. MA trend directions can be tracked in a built-in signal table. Trading Signals: Breakout Signals: Breakouts above/below the channel are optionally marked with triangle shapes (green for bullish, red for bearish). MA Signals: Price position relative to MAs or their slope generates bullish/bearish signals. These are optionally visualized with default triangles (green up, red down). A signal table in the top-right corner summarizes the status of each moving average – bullish, bearish, or neutral. Customization Options Channel Settings: MA Period: Length of the WRAMA baseline (default: 100). Channel Deviation : Percentage offset from the baseline for upper/lower bands (default: 1.5%). RSI Settings: RSI Period: Length of the RSI calculation (default: 14). RSI Upper/Lower Threshold: Overbought/oversold levels (default: 70/30). RSI Weight Factor: Influence of RSI on weighting (default: 2.0). ATR Settings: ATR Period: ATR calculation length (default: 14). ATR Threshold: Volatility threshold as a multiple of average ATR (default: 1.5). ATR Weight Factor: Influence of ATR on weighting (default: 2.0). RSI & ATR Combined: Extreme Weight: Weight applied in extreme RSI/ATR conditions (default: 3.0). RSI/ATR Balance: Balance between RSI and ATR influence (default: 0.5). Signal Settings: Show Breakout Signals: Enable/disable breakout triangles. Show MA Signals: Enable/disable MA-based signals. MA Signal Source: Choose between current WRAMA or baseline. MA Signal Analysis: Based on price position or slope. Neutral Threshold : Minimum distance from MA for signal neutrality (default: 0.5%). Minimum MA Slope : Minimum slope for trend direction signals (default: 0.01%). Moving Averages (MA1–MA5): Options to enable/disable, select type (SMA, EMA, WMA, HMA, ALMA), set period length, and choose color. Style Settings: Gradient Fill: Enable/disable gradient coloring within the channel. Show Baseline: Enable/disable WRAMA baseline visibility. Colors: Customize line, fill, and signal colors. Use Cases Trend Identification: The WRAMA channel highlights trend direction and potential reversal zones when price contacts the channel edges. Breakout Signals: Channel breakouts may indicate trend shifts or momentum surges. MA Analysis: The signal table provides a clear summary of market direction (bullish, bearish, or neutral) based on selected moving averages. Trading Strategies: Suitable for trend-following, mean-reversion, and scalping strategies, depending on user preferences and settings. Notes The indicator offers a high degree of flexibility, making it adaptable to various trading styles, instruments, and timeframes. It is recommended to adjust channel length and width to fit your trading strategy. Backtesting settings on historical data is advised to optimize parameters for a specific strategy and market.
Penunjuk Pine Script®
oleh Uncle_the_shooter
Dynamic Ray BandsAbout Dynamic Ray Bands Dynamic Ray Bands is a volatility-adaptive envelope indicator that adjusts in real time to evolving market conditions. It uses a Double Exponential Moving Average (DEMA) as its central trend reference, with upper and lower bands scaled according to current volatility measured by the Average True Range (ATR). This creates a dynamic structure that visually frames price action, helping traders identify areas of potential trend continuation, overextension, or mean reversion. How It Works 🟡 Centerline (DEMA) The central yellow line is a Double Exponential Moving Average, which offers a smoother, less laggy trend signal than traditional moving averages. It represents the market’s short- to medium-term “equilibrium.” 🔵 Outer Bands Plotted at: Upper Band = DEMA + (ATR × outerMultiplier) Lower Band = DEMA - (ATR × outerMultiplier) These bands define the extreme bounds of current volatility. When price breaks above or below them, it can signal strong directional momentum or overbought/oversold conditions, depending on context. They're often used as trend breakout zones or to time exits after extended runs. 🟣 Inner Bands Plotted closer to the DEMA: Inner Upper = DEMA + (ATR × innerMultiplier) Inner Lower = DEMA - (ATR × innerMultiplier) These are preliminary volatility thresholds, offering early cues for potential expansion or reversal. They may be used for scalping, tight stop zones, or pre-breakout positioning. 🔁 Dynamic Width (Bands are Dynamically Adjusted Per Tick) The width of both inner and outer bands is based on ATR (Average True Range), which is recalculated in real time. This means: During high volatility, the bands expand, allowing for wider price fluctuations. During low volatility, the bands contract, tightening range expectations. Unlike fixed-width channels or standard Bollinger Bands (which use standard deviation), this per-tick adjustment via ATR enables Dynamic Ray Bands to reduce false signals in choppy markets and remain more reactive during trending conditions. ⚙️ Inputs DMA Length — Period for the central DEMA. ATR Length — Lookback used for ATR volatility calculations. Outer Band Multiplier — Controls sensitivity of extreme bands. Inner Band Multiplier — Controls proximity of inner bands. Show Inner Bands — Toggle for plotting the inner zone. 🔔 Alerts Alert conditions are included for: Price closing above/below the outer bands (trend momentum or overextension) Price closing above/below the inner bands (early signs of strength/weakness) 🧭 Use Cases Breakout detection — Catch price continuation beyond the outer bands. Volatility filtering — Adjust trade logic based on band width. Mean reversion — Monitor for snapbacks toward the DEMA after price stretches too far. Trend guidance — Use band slope and price position to confirm direction. ⚠️ Disclaimer This script is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade any specific market or security. Always test indicators thoroughly before using them in live trading.
Penunjuk Pine Script®
oleh fuel_fighter
Non-Lagging Longevity Zones [BigBeluga]🔵 OVERVIEW A clean, non-lagging system for identifying price zones that persist over time—ranking them visually based on how long they survive without being invalidated. Non-Lagging Longevity Zones uses non-lagging pivots to automatically build upper and lower zones that reflect key resistance and support. These zones are kept alive as long as price respects them and are instantly removed when invalidated. The indicator assigns a unique lifespan label to each zone in Days (D), Months (M), or Years (Y), providing instant context for historical relevance. 🔵 CONCEPTS Non-Lag Pivot Detection: Detects upper and lower pivots using non-lagging swing identification (highest/lowest over length period). h = ta.highest(len) l = ta.lowest(len) high_pivot = high == h and high < h low_pivot = low == l and low > l Longevity Ranking: Zones are preserved as long as price doesn't breach them. Levels that remain intact grow in visual intensity. Time-Based Weighting: Each zone is labeled with its lifespan in days , emphasizing how long it has survived. duration = last_bar_index - start days_ = int(duration*(timeframe.in_seconds("")/60/60/24)) days = days_ >= 365 ? int(days_ / 365) : days_ >= 30 ? int(days_ / 30) : days_ marker = days_ >= 365 ? " Y" : days_ >= 30 ? " M" : " D" Dynamic Coloring: Older zones are drawn with stronger fill, while newer ones appear fainter—making it easy to assess significance. Self-Cleaning Logic: If price invalidates a zone, it’s instantly removed, keeping the chart clean and focused. 🔵 FEATURES Upper and Lower Zones: Auto-detects valid high/low pivots and plots horizontal zones with ATR-based thickness. Real-Time Validation: Zones are extended only if price stays outside them—giving precise control zones. Gradient Fill Intensity: The longer a level survives, the more opaque the fill becomes. Duration-Based Labeling: Time alive is shown at the root of each zone:   • D – short-term zones   • M – medium-term structure   • Y – long-term legacy levels Smart Zone Clearing: Zones are deleted automatically once invalidated by price, keeping the display accurate. Efficient Memory Handling: Keeps only the 10 most recent valid levels per side for optimal performance. 🔵 HOW TO USE Track durable S/R zones that survived price tests without being breached. Use longer-lived zones as high-confidence confluence areas for entries or targets. Observe fill intensity to judge structural importance at a glance . Layer with volume or momentum tools to confirm bounce or breakout probability. Ideal for swing traders, structure-based traders, or macro analysis. 🔵 CONCLUSION Non-Lagging Longevity Zones lets the market speak for itself—by spotlighting levels with proven survival over time. Whether you're trading trend continuation, mean reversion, or structure-based reversals, this tool equips you with an immediate read on what price zones truly matter—and how long they've stood the test of time.
Penunjuk Pine Script®
oleh BigBeluga
5
MWA swing high & lowThis indicator identifies and connects significant swing highs and swing lows on the chart using customizable pivot-based logic. It creates a ZigZag-style structure that helps traders visually analyze price action, market structure, and trend direction. 🧠 Key Features: Detects pivot highs and lows using left/right bar logic. Plots a ZigZag line connecting swings for easy visual tracking. Labels each swing as "Swing High" or "Swing Low". Fully customizable settings: pivot sensitivity, label color/size, and line color. 📈 How to Use: Use it to spot higher highs/lows or lower highs/lows in trending markets. Identify structure shifts that may signal trend reversals. Combine with support/resistance, Fibonacci, or other structure-based tools for confirmation. Suitable for discretionary or rule-based strategies. ⚠️ Disclaimer: This script is a visual analysis tool. It does not generate buy/sell signals and does not claim profitability. Past structure patterns do not guarantee future results.
Penunjuk Pine Script®
oleh mwainnercircle4
DIP BUYING by HAZEREAL BUY THE DIP - Educational Price Movement Indicator This technical indicator is designed for educational purposes to help traders identify potential price reversal opportunities in equity markets, particularly focusing on NASDAQ-100 index tracking instruments and technology sector ETFs. Key Features: Monitors price movements relative to recent highs over customizable lookback periods Identifies two distinct price decline thresholds: standard (5%+) and extreme (12.3%+) Visual signals with triangular markers and background color zones Real-time data table showing current metrics and status Customizable alert system with webhook-ready JSON formatting Clean overlay design that doesn't obstruct price action How It Works: The indicator tracks the highest price within a specified lookback period and calculates the percentage decline from that high. When price drops below the minimum threshold, it generates visual buy signals. The extreme threshold triggers enhanced alerts for more significant market movements. Best Use Cases: Educational analysis of market volatility patterns Identifying potential support levels during market corrections Studying historical price behavior around significant declines Risk management and position sizing education Important Note: This is a technical analysis tool for educational purposes only. All trading decisions should be based on comprehensive analysis and appropriate risk management. Past performance does not guarantee future results.
Penunjuk Pine Script®
oleh profitgang
GANN Angles LevelsGANN Angles Levels - Mathematical Support & Resistance (45°, 90°, 180°, 360°) GANN-based mathematical support/resistance levels using square root calculations and geometric angles. Provides 4 key GANN levels with customizable multipliers. 🎯 GANN ANGLES LEVELS (GAL) This indicator calculates support and resistance levels using W.D. GANN's mathematical principles based on square roots and geometric angles. ✨ KEY FEATURES: - 📐 4 GANN Geometric Angles: 45°, 90°, 180°, 360° - 🔢 Manual Price Input for Base Level - 📈 Bullish/Bearish Direction Selection - ⚙️ Customizable Multipliers (0.5, 1, 1.5, 2, None) - 📊 Optional Information Table - 🎨 Color-coded Levels (Blue for input, Green/Red for calculated levels) 💡 HOW TO USE: 1. 🎯 **CRITICAL: Select a REAL high or low point** (significant peak or trough) 2. Set this high/low price manually as your base price 3. Choose direction: • **Bullish** for support levels (from a major LOW) • **Bearish** for resistance levels (from a major HIGH) 4. **Select multiplier based on timeframe:** • 📈 **Higher timeframes (Daily, Weekly, Monthly):** Use larger multipliers (1.5, 2) • ⚡ **Lower timeframes (1H, 4H, 15M, 5M):** Use smaller multipliers (0.5, 1) or None • 🎯 **Scalping/Intraday:** Often use "None" for tighter levels 5. GANN levels will be calculated progressively using the time-tested formula ⚠️ **IMPORTANT NOTE:** The accuracy of GANN levels depends heavily on selecting genuine market highs and lows. Use significant pivot points, not random price levels. 🎯 PERFECT FOR: - GANN Analysis & Trading - Mathematical Support/Resistance - Price Target Setting - Geometric Price Analysis - Classical Technical Analysis Based on W.D. GANN's time-tested mathematical principles for market analysis. 🔒 PROTECTED SCRIPT This indicator is protected and the source code is not visible. All rights reserved.
Penunjuk Pine Script®
oleh Maher74
6
K Bands v2.2K Bands v2 - Settings Breakdown (Timeframe Agnostic) K Bands v2 is an adaptive volatility envelope tool designed for flexibility across different trading styles and timeframes. The settings below allow complete control over how the bands are constructed, smoothed, and how they respond to market volatility. 1. Upstream MA Type Controls the core smoothing applied to price before calculating the bands. Options: - EMA: Fast, responsive, reacts quickly to price changes. - SMA: Classic moving average, slower but provides stability. - Hull: Ultra smooth, reduces noise significantly but may react differently to choppy conditions. - GeoMean: Geometric mean smoothing, creates a unique, slightly smoother line. - SMMA: Wilder-style smoothing, balances noise reduction and responsiveness. - WMA: Weighted Moving Average, emphasizes recent price action for sharper responsiveness. 2. Smoothing Length Lookback period for the upstream moving average. - Lower values: Faster reaction, captures short-term shifts. - Higher values: Smoother trend depiction, filters out noise. 3. Multiplier Determines the width of the bands relative to calculated volatility. - Lower multiplier: Tighter bands, more signals, but increased false breakouts. - Higher multiplier: Wider bands, fewer false signals, more conservative. 4. Downstream MA Type Applies final smoothing to the band plots after initial calculation. Same options as Upstream MA. 5. Downstream Smoothing Length Lookback period for downstream smoothing. - Lower: More responsive bands. - Higher: Smoother, visually cleaner bands. 6. Band Width Source Selects the method used to calculate band width based on market volatility. Options: - ATR (Average True Range): Smooth, stable bands based on price range expansion. - Stdev (Standard Deviation): More reactive bands highlighting short-term volatility spikes. 7. ATR Smoothing Type Controls how the ATR or Stdev value is smoothed before applying to band width. Options: - Wilder: Classic, stable smoothing. - SMA: Simple moving average smoothing. - EMA: Faster, more reactive smoothing. - Hull: Ultra-smooth, noise-reducing smoothing. - GeoMean: Geometric mean smoothing. 8. ATR Length Lookback period for smoothing the volatility measurement (ATR or Stdev). - Lower: More reactive bands, captures quick shifts. - Higher: Smoother, more stable bands. 9. Dynamic Multiplier Based on Volatility Allows the band multiplier to adapt automatically to changes in market volatility. - ON: Bands expand during high volatility and contract during low volatility. - OFF: Bands remain fixed based on the set multiplier. 10. Dynamic Multiplier Sensitivity Controls how aggressively the dynamic multiplier responds to volatility changes. - Lower values: Subtle adjustments. - Higher values: More aggressive band expansion/contraction. K Bands v2 is designed to be adaptable across any market or timeframe, helping visualize price structure, trend, and volatility behavior.
Penunjuk Pine Script®
oleh jeremysawyer_mail
2