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RSI Mansfield +RSI Mansfield+ – Adaptive Relative Strength Indicator with Divergences Overview RSI Mansfield+ is an advanced relative strength indicator that compares your instrument’s performance against a configurable benchmark index or asset (e.g., Bitcoin Dominance, S&P 500). It combines Mansfield normalization, adaptive smoothing techniques, and automatic detection of bullish and bearish divergences (regular and hidden), delivering a comprehensive tool for assessing relative strength across any market and timeframe. Originality and Motivation Unlike traditional relative strength scripts, this indicator introduces several distinctive improvements: Mansfield Normalization: Scales the ratio between the asset and the benchmark relative to its moving average, transforming it into a normalized oscillator that fluctuates around zero, making it easier to spot outperformance or underperformance. Adaptive Smoothing: Automatically selects whether to use EMA or SMA based on the market type (crypto or stocks) and timeframe (intraday, daily, weekly, monthly), avoiding manual configuration and providing more robust results under varying volatility conditions. Divergence Detection: Identifies four types of divergences in the Mansfield oscillator to help anticipate potential reversal points or trend confirmations. Multi-Market Support: Offers benchmark selection among major crypto and global stock indices from a single input. These enhancements make RSI Mansfield+ more practical and powerful than conventional relative strength scripts with static benchmarks or without divergence capabilities. Core Concepts Relative Strength (RS): Compares price evolution between your asset and the selected benchmark. Mansfield Normalization: Measures how much the RS deviates from its historical moving average, expressed as a scaled oscillator. Divergences: Detects regular and hidden bullish or bearish divergences within the Mansfield oscillator. Timeframe Adaptation: Dynamically adjusts moving average lengths based on timeframe and market type. How It Works Benchmark Selection Choose among over 10 indices or market domains (BTC Dominance, ETH Dominance, S&P 500, European indices, etc.). Ratio Calculation Computes the price-to-benchmark ratio and smooths it with the adaptive moving average. Normalization and Scaling Transforms deviations into a Mansfield oscillator centered around zero. Dynamic Coloring Green indicates relative outperformance, red signals underperformance. Divergence Detection Automatically identifies bullish and bearish (regular and hidden) divergences by comparing oscillator pivots against price pivots. Baseline Reference A clear zero line helps interpret relative strength trends. Usage Guidelines Benchmark Comparison Ideal for traders analyzing whether an asset is outperforming or lagging its sector or market. Divergence Analysis Helps detect potential reversal or continuation signals in relative strength. Multi-Timeframe Compatibility Can be applied to intraday, daily, weekly, or monthly charts. Interpretation Oscillator >0 and green: outperforming the benchmark. Oscillator <0 and red: underperforming. Bullish divergences: potential relative strength reversal to the upside. Bearish divergences: possible loss of momentum or reversal to the downside. Credits The concept of Mansfield Relative Strength is based on Stan Weinstein’s original work on relative performance analysis. This script was built entirely from scratch in TradingView Pine Script v6, incorporating original logic for adaptive smoothing, normalized scaling, and divergence detection, without reusing any external open-source code.
Indicatore Pine Script®
di Max_GS
1
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.
Indicatore Pine Script®
di five2ventures
Uptrick: Fusion Trend Reversion SystemOverview The Uptrick: Fusion Trend Reversion System is a multi-layered indicator designed to identify potential price reversals during intraday movement while keeping traders informed of the dominant short-term trend. It blends a composite fair value model with deviation logic and a refined momentum filter using the Relative Strength Index (RSI). This tool was created with scalpers and short-term traders in mind and is especially effective on lower timeframes such as 1-minute, 5-minute, and 15-minute charts where price dislocations and quick momentum shifts are frequent. Introduction This indicator is built around the fusion of two classic concepts in technical trading: identifying trend direction and spotting potential reversion points. These are often handled separately, but this system merges them into one process. It starts by computing a fair value price using five moving averages, each with its own mathematical structure and strengths. These include the exponential moving average (EMA), which gives more weight to recent data; the simple moving average (SMA), which gives equal weight to all periods; the weighted moving average (WMA), which progressively increases weight with recency; the Arnaud Legoux moving average (ALMA), known for smoothing without lag; and the volume-weighted average price (VWAP), which factors in volume at each price level. All five are averaged into a single value — the raw fusion line. This fusion acts as a dynamically balanced centerline that adapts to price conditions with both smoothing and responsiveness. Two additional exponential moving averages are applied to the raw fusion line. One is slower, giving a stable trend reference, and the other is faster, used to define momentum and cloud behavior. These two lines — the fusion slow and fusion fast — form the backbone of trend and signal logic. Purpose This system is meant for traders who want to trade reversals without losing sight of the underlying directional bias. Many reversal indicators fail because they act too early or signal too frequently in choppy markets. This script filters out noise through two conditions: price deviation and RSI confirmation. Reversion trades are considered only when the price moves a significant distance from fair value and RSI suggests a legitimate shift in momentum. That filtering process gives the trader a cleaner, higher-quality signal and reduces false entries. The indicator also visually supports the trader through colored bars, up/down labels, and a filled cloud between the fast and slow fusion lines. These features make the market context immediately visible: whether the trend is up or down, whether a reversal just occurred, and whether price is currently in a high-risk reversion zone. Originality and Uniqueness What makes this script different from most reversal systems is the way it combines layers of logic — not just to detect signals, but to qualify and structure them. Rather than relying on a single MA or a raw RSI level, it uses a five-MA fusion to create a baseline fair value that incorporates speed, stability, and volume-awareness. On top of that, the system introduces a dual-smoothing mechanism. It doesn’t just smooth price once — it creates two layers: one to follow the general trend and another to track faster deviations. This structure lets the script distinguish between continuation moves and possible turning points more effectively than a single-line or single-metric system. It also uses RSI in a more refined way. Instead of just checking if RSI is overbought or oversold, the script smooths RSI and requires directional confirmation. Beyond that, it includes signal memory. Once a signal is generated, a new one will not appear unless the RSI becomes even more extreme and curls back again. This memory-based gating reduces signal clutter and prevents repetition, a rare feature in similar scripts. Why these indicators were merged Each moving average in the fusion serves a specific role. EMA reacts quickly to recent price changes and is often favored in fast-trading strategies. SMA acts as a long-term filter and smooths erratic behavior. WMA blends responsiveness with smoothing in a more balanced way. ALMA focuses on minimizing lag without losing detail, which is helpful in fast markets. VWAP anchors price to real trade volume, giving a sense of where actual positioning is happening. By combining all five, the script creates a fair value model that doesn’t lean too heavily on one logic type. This fusion is then smoothed into two separate EMAs: one slower (trend layer), one faster (signal layer). The difference between these forms the basis of the trend cloud, which can be toggled on or off visually. RSI is then used to confirm whether price is reversing with enough force to warrant a trade. The RSI is calculated over a 14-period window and smoothed with a 7-period EMA. The reason for smoothing RSI is to cut down on noise and avoid reacting to short, insignificant spikes. A signal is only considered if price is stretched away from the trend line and the smoothed RSI is in a reversal state — below 30 and rising for bullish setups, above 70 and falling for bearish ones. Calculations The script follows this structure: Calculate EMA, SMA, WMA, ALMA, and VWAP using the same base length Average the five values to form the raw fusion line Smooth the raw fusion line with an EMA using sens1 to create the fusion slow line Smooth the raw fusion line with another EMA using sens2 to create the fusion fast line If fusion slow is rising and price is above it, trend is bullish If fusion slow is falling and price is below it, trend is bearish Calculate RSI over 14 periods Smooth RSI using a 7-period EMA Determine deviation as the absolute difference between current price and fusion slow A raw signal is flagged if deviation exceeds the threshold A raw signal is flagged if RSI EMA is under 30 and rising (bullish setup) A raw signal is flagged if RSI EMA is over 70 and falling (bearish setup) A final signal is confirmed for a bullish setup if RSI EMA is lower than the last bullish signal’s RSI A final signal is confirmed for a bearish setup if RSI EMA is higher than the last bearish signal’s RSI Reset the bullish RSI memory if RSI EMA rises above 30 Reset the bearish RSI memory if RSI EMA falls below 70 Store last signal direction and use it for optional bar coloring Draw the trend cloud between fusion fast and fusion slow using fill() Show signal labels only if showSignals is enabled Bar and candle colors reflect either trend slope or last signal direction depending on mode selected How it works Once the script is loaded, it builds a fusion line by averaging five different types of moving averages. That line is smoothed twice into a fast and slow version. These two fusion lines form the structure for identifying trend direction and signal areas. Trend bias is defined by the slope of the slow line. If the slow line is rising and price is above it, the market is considered bullish. If the slow line is falling and price is below it, it’s considered bearish. Meanwhile, the script monitors how far price has moved from that slow line. If price is stretched beyond a certain distance (set by the threshold), and RSI confirms that momentum is reversing, a raw reversion signal is created. But the script only allows that signal to show if RSI has moved further into oversold or overbought territory than it did at the last signal. This blocks repetitive, weak entries. The memory is cleared only if RSI exits the zone — above 30 for bullish, below 70 for bearish. Once a signal is accepted, a label is drawn. If the signal toggle is off, no label will be shown regardless of conditions. Bar colors are controlled separately — you can color them based on trend slope or last signal, depending on your selected mode. Inputs You can adjust the following settings: MA Length: Sets the period for all moving averages used in the fusion. Show Reversion Signals: Turns on the plotting of “Up” and “Down” labels when a reversal is confirmed. Bar Coloring: Enables or disables colored bars based on trend or signal direction. Show Trend Cloud: Fills the space between the fusion fast and slow lines to reflect trend bias. Bar Color Mode: Lets you choose whether bars follow trend logic or last signal direction. Sens 1: Smoothing speed for the slow fusion line — higher values = slower trend. Sens 2: Smoothing speed for the fast line — lower values = faster signal response. Deviation Threshold: Minimum distance price must move from fair value to trigger a signal check. Features This indicator offers: A composite fair value model using five moving average types. Dual smoothing system with user-defined sensitivity. Slope-based trend definition tied to price position. Deviation-triggered signal logic filtered by RSI reversal. RSI memory system that blocks repetitive signals and resets only when RSI exits overbought or oversold zones. Real-time tracking of the last signal’s direction for optional bar coloring. Up/Down labels at signal points, visible only when enabled. Optional trend cloud between fusion layers, visualizing current market bias. Full user control over smoothing, threshold, color modes, and visibility. Conclusion The Fusion Trend-Reversion System is a tool for short-term traders looking to fade price extremes without ignoring trend bias. It calculates fair value using five diverse moving averages, smooths this into two dynamic layers, and applies strict reversal logic based on RSI deviation and momentum strength. Signals are triggered only when price is stretched and momentum confirms it with increasingly strong behavior. This combination makes the tool suitable for scalping, intraday entries, and fast market environments where precision matters. Disclaimer This indicator is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk, and no tool can predict market behavior with certainty. Use proper risk management and do your own research before making trading decisions.
Indicatore Pine Script®
di Uptrick
2
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer --- 1. Purpose of the Indicator The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders: • Save time by avoiding manual cross-referencing of disparate signals. • Reduce decision-making errors that can arise from juggling multiple indicators. • Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position. --- 2. Why a Trader Should Use It • Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually. • Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant. • Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction. • Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases. --- 3. Why These Specific Indicators? This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions: 1. Trend Strength: • ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish). • Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend. • Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness. 2. Momentum: • Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals. • Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum. • MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum. 3. Price Action: • Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score. • Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish. • Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation. 4. Market Activity: • Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility. • Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm. • Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings. • Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction. By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone. --- 4. What Makes This Indicator Stand Out • Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity. • Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized. • Stability Mechanisms: • Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes. • Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw. • Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2. --- 5. Recommended Timeframes • Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws. • Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well. • Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals. Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.” --- 6. How Scoring Works A. Individual Indicator Scores Each sub-indicator is assigned one of three discrete scores: • +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound). • 0 if it is neutral (e.g., RSI between upper and lower bounds). • –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound). Examples of individual score assignments: • ADX/DMI: • +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend) • –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend) • 0 if ADX < adxThreshold (trend strength below threshold) • RSI: • +1 if RSI > RSI_upperBound • –1 if RSI < RSI_lowerBound • 0 otherwise • ATR (as part of Market Activity): • +1 if ATR > (ATR_MA + stdev(ATR)) • –1 if ATR < (ATR_MA – stdev(ATR)) • 0 otherwise Each of the four main categories shares this same +1/0/–1 logic across their sub-components. B. Category Scores Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows: • Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score) • Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score) • Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score) • Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score) Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw. C. Market Activity State and Dynamic Weight Adjustments Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action: 1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1). 2. Bucket into High, Medium, or Low Activity: • High if raw Score ≥ 2 (volatile market). • Low if raw Score ≤ –2 (calm market). • Medium otherwise. 3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label. 4. Set Category Weights: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default). D. Calculating the Net Score 5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %). 6. Determine Current Weights based on the Market Activity State (High/Medium/Low). 7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight). 8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong). 9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise. 10. Apply Hysteresis to the Final Zone: • If the smoothed netScore ≥ +2, the bar is classified as “Bullish.” • If the smoothed netScore ≤ –2, the bar is classified as “Bearish.” • Otherwise, it is “Sideways.” • To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on). E. Thresholds for Zone Classification • BULLISH: netScore ≥ +2 • BEARISH: netScore ≤ –2 • SIDEWAYS: –2 < netScore < +2 --- 7. Role of Volatility (Market Activity State) in Scoring Volatility acts as a dynamic switch that shifts which category carries the most influence: 1. High Activity (Volatile): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1. • The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %. • Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns. 2. Low Activity (Calm): • Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1. • The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %. • Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move. 3. Medium Activity (Balanced): • Raw Score between –1 and +1 from the four volatility metrics. • Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability. --- 8. Scoring Example (Hypothetical Scenario) • Symbol: Bitcoin on a 1-hour chart. • Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity. • Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Signals: • ADX strong and +DI > –DI → +1 • Fast MA above Slow MA → +1 • Ichimoku Senkou A > Senkou B → +1 → Trend Score = +3 • Momentum Signals: • RSI above upper bound → +1 • MACD histogram positive → +1 • Stochastic %K within neutral zone → 0 → Momentum Score = +2 • Price Action Signals: • Highest High/Lowest Low check yields 0 (close not near extremes) • Heikin-Ashi doji reading is neutral → 0 • Candle range slightly above upper bound but trend is strong, so → +1 → Price Action Score = +1 • Compute Net Score (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 1 × 0.15 = 0.15 • Raw netScore = 1.50 + 0.70 + 0.15 = 2.35 • Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.” Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled). --- 9. Correlation Between Categories The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations: • Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory. • Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias. • Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing. By dynamically recognizing these correlations and adjusting weights, the indicator ensures that: • When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish. • When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals. --- 10. Market Activity State & Its Role (Detailed) The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied: 1. Calculate Four Volatility Sub-Scores: • BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0. • ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0. • KCW: Same logic as ATR but around the KCW mean. • Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0. 2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4. 3. Assign Market Activity State: • High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking). • Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume). • Medium Activity: Raw Score is between –1 and +1 inclusive. 4. Hysteresis for Stability: • If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label. • This prevents the Market Activity State from bouncing around when volatility is on the fence. 5. Set Category Weights Based on Activity State: • High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %. • Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %). 6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action. 7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.” --- 11. Category Weights: Base vs. Dynamic Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts: • High Volatility Overrides: • Trend jumps from its base (e.g., 40 %) to 50 %. • Momentum jumps from its base (e.g., 30 %) to 35 %. • Price Action is reduced to 15 %. Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own. • Low Volatility Overrides: • Price Action leaps from its base (30 %) to 55 %. • Trend falls to 25 %, Momentum falls to 20 %. Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive. Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases. --- 12. Dominant Category Explained Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely: • Compute each category’s weighted contribution = (raw category score) × (current weight). • Compare the absolute values of those three contributions. • The category with the highest absolute value is flagged as Dominant for that bar. Why It Matters: • Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade. • Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed. • Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves. By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways. --- 13. Oscillator Plot: How to Read It The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features: 1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range. 2. Horizontal Threshold Lines: • +2 Line (Bullish threshold) • 0 Line (Neutral midline) • –2 Line (Bearish threshold) 3. Zone Coloring: • Green Background (Bullish Zone): When netScore ≥ +2. • Red Background (Bearish Zone): When netScore ≤ –2. • Gray Background (Sideways Zone): When –2 < netScore < +2. 4. Dynamic Line Color: • The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue. Interpretation Tips: • Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position. • Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies. • Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum. • Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal. --- 14. Comments and Their Necessity Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples: • “Strong bullish trend” or “Strong bearish trend” for ADX/DMI • “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope • “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI • “MACD histogram positive” or “MACD histogram negative” for MACD Hist • “Price near highs” or “Price near lows” for HH/LL checks • “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring • “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range Additionally, the top-row comment for each category is: • Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.” • Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.” • Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.” • Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.” Reasons for These Comments: • Transparency: Shows exactly how each sub-indicator contributed to its category score. • Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time. • Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds. In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment. --- 15. Real-Life Example (Consolidated) • Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart. • Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on). • Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %. • Trend Sub-Scores: 1. ADX = 25 (above threshold 20) with +DI > –DI → +1. 2. Fast MA (20-period) sits above Slow MA (50-period) → +1. 3. Ichimoku: Senkou A > Senkou B → +1. → Trend Score = +3. • Momentum Sub-Scores: 4. RSI = 75 (above its moving average +1 stdev) → +1. 5. MACD histogram = +0.15 → +1. 6. Stochastic %K = 50 (mid-range) → 0. → Momentum Score = +2. • Price Action Sub-Scores: 7. Price is not within 1 % of the 20-period high/low and slope = positive → 0. 8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1. 9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1. → Price Action Score = +2. • Calculate netScore (before smoothing): • Trend contribution = 3 × 0.50 = 1.50 • Momentum contribution = 2 × 0.35 = 0.70 • Price Action contribution = 2 × 0.15 = 0.30 • Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish. • Oscillator & Dashboard Output: • The oscillator line crosses above +2 and turns green. • Dashboard displays: • Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.” • Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.” • Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.” • Market Activity State “High,” Comment = “Volatile Market.” • Weights: Trend 50 %, Momentum 35 %, Price Action 15 %. • Dominant Category: Trend (because 1.50 > 0.70 > 0.30). • Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0. • Final Zone = “BULLISH.” • The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long. --- • . --- Disclaimer This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should: • Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital. • Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis. • Understand that no indicator is foolproof; always be prepared for unexpected market moves. Goodluck -BullByte! ---
Indicatore Pine Script®
di BullByte
2
TA Pressure GaugeThe Pressure Gauge indicator is composed of two main plotted elements in Oscillator Mode: the Up/Down Volume Ratio (UDVR) as a histogram, and the Relative Strength (RS) Score as a continuous line. These two metrics work together to provide real-time insights into both volume momentum and relative performance. The UDVR histogram measures the ratio of buying volume to selling volume. Specifically, if the current close is greater than the previous close, the volume for that bar is classified as up volume. If the current close is lower than the previous close, it’s classified as down volume. Over a 50-bar rolling window (or fewer if limited history exists), the sum of up volume is divided by the sum of down volume to calculate the UDVR. The result is normalized and plotted as vertical bars centered around a baseline value of 50. A UDVR value greater than 1 indicates bullish dominance—more buying than selling—while a value less than 1 indicates bearish pressure. The histogram bars are dynamically color-coded: Lime or Green when the UDVR is rising and remains above 1, signaling increasing buying strength. Red or Maroon when the UDVR is falling and below 1, indicating growing selling pressure. The second component is the Relative Strength Score (RS Score), plotted as a line graph overlaid on the oscillator. This is calculated by dividing the current closing price of the selected asset by the closing price of a benchmark index (e.g., SPX). The result is normalized over a selectable lookback period—63 bars (3 months), 126 bars (6 months), or 251 bars (12 months)—and then converted into a value between 1 and 99. This RS line reflects how well the asset is performing compared to the broader market. When the RS Score is above 70, it indicates strong outperformance and leadership; below 30 suggests underperformance. The true value of Oscillator Mode is in its ability to combine these two readings visually. When both the UDVR histogram is green and elevated, and the RS line is rising and above 70, it often indicates strong institutional accumulation and momentum—key ingredients for high-probability breakout or trend-following trades. This dual-layered confirmation system enables traders to cut through noise and focus on setups that align both in volume strength and market relative performance. The oscillator can be fully customized within the script to change colors, sizing, and input periods, making it flexible for various trading styles and timeframes. Look at this textbook flag forming on ticker symbol WGS. The setup was clean, and the Pressure Gauge was already showing bullish signals. Following the breakout, you can see how the move confirmed what the Pressure Gauge was indicating early on—strong buying pressure and clear relative strength.
Indicatore Pine Script®
di Traders-Agency
1
Ultimate Scalping Tool[BullByte]Overview The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators. Core Components Quantum Flux Candle (QFC) Construction The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own. Oscillator Normalization & Adaptive Weights The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale). Trend/Momentum/Volume/Volatility Fusion Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength. Signal Classification The script interprets the QFC oscillator to label trades. For example: • Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend. • Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal. • Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow. These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion). Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX) Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.) Dashboard Metrics & Color Logic The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences. 1. Dashboard Layout & Customization Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input. Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input. Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script. 2. Key Metrics Displayed The dashboard presents critical trading metrics in a structured table format: Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) . Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds. Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator. Basic & Advanced Signals: Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade). Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts. RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions. HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter. VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it. ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red). Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom). Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**. 3. Filters Status Panel A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals: - DI Reversal Filter: On/Off (confirms reversals before generating signals). - Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility). - Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility). - Early Signal: On/Off (enables early momentum-based signals). - Leading HTF Filter: On/Off (applies higher timeframe trend confirmation). 4. Visual Enhancements Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation. Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends. Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator. How It(QFC) Differs from Traditional Indicators Quantum Flux Candle (QFC) Versus Heikin-Ashi Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart. Versus Standard Oscillators Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one. Signal Style Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code. Key Term Definitions • Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting. • Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade. • Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended. What is the Flux MA? The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish. How it’s calculated (Flux MA): 1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0). 2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods). 3.The result is rescaled back to the oscillator’s original range for plotting. Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts. Color of the Flux Candle The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means: • Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward. • Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward. • Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long. • Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short. The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions. How to Trade the Flux MA with Respect to the Candle Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide: 1. Identify the Trend Direction • Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum. • Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum. The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure. 2. Interpret Candle Colors for Trade Signals • Green Candle : General bullish momentum. Consider entering or holding a long position. • Red Candle : General bearish momentum. Consider entering or holding a short position. • Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade. • Purple Candle : A strong sell signal. This is an ideal time to enter a short trade. 3. Enter Trades Based on Crossovers and Colors • Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long. • Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short. 4. Exit Trades • Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing. • Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing. •You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal). 5. Use Additional Confirmation To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example: •A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal. •A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting. Practical Example Imagine you’re scalping a cryptocurrency: • Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA. • Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA. Market Presets and Adaptation This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type. Usage Guidelines • Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings. • Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs. • Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability. • Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger. • Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands. Background Shading To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark): Neutral (Gray) When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands. Bullish (Green) As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight. Bearish (Red) Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30. By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions. The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference. Disclaimer No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders. Good luck! - BullByte
Indicatore Pine Script®
di BullByte
37
Adaptive Pulsar Momentum | QuantEdgeB⚡ Adaptive Pulsar Momentum | QuantEdgeB 🔭 What is Adaptive Pulsar Momentum? The Adaptive Pulsar Momentum (APM) is a high-performance, modular trading system designed to decode market momentum across a range of conditions. It combines multi-indicator adaptability (RSI, MFI, Z-Score, ROC, and a hybrid AVG mode) with dynamic signal generation using five advanced "modes" of signal logic: Impulse, Trend, Heikin-Ashi Candles, Statistical Deviation, and MACD. 💡 Think of APM as a scientific instrument, scanning, adapting, and broadcasting precision-tuned momentum data in real-time, helping traders eliminate noise, guesswork, and lag. ___________________________________ 1.🔧 System Core: Customizability and Adaptation 📊 Indicator Modes • 𝓡𝓢𝓘 (Relative Strength Index): Classic oscillator detecting overbought/oversold zones. • 𝓩-𝓢𝓒𝓞𝓡𝓔: Normalized deviation from mean; ideal for statistical reversion plays. • 𝓜𝓕𝓘 (Money Flow Index): Volume-weighted RSI-style metric. • 𝓡𝓞𝓒 (Rate of Change): Measures the velocity of price change. • 𝓐𝓥𝓖: Combines RSI, MFI, Z-Score, and ROC into a unified signal (normalized to 0–100 scale). 🧠 MA Engine (Smoothing) Over a dozen moving average types: • Includes ALMA, TEMA, JMA, SMMA, HMA, LSMA, VWMA, and more. • Dynamic smoothing makes this system versatile across markets and timeframes. ___________________________________ 2.🧨 SIGNAL MODES – THE ENGINE ROOM Each mode turns the raw smoothed indicator into a powerful momentum signal with thresholds and logic specific to the use case. 1️⃣ 𝓘𝓶𝓹𝓾𝓵𝓼𝓮 Mode 🚀 Use case: Best for detecting explosive, fast-moving momentum before the crowd catches on. 🔍 Logic: • Thresholds can be Static, Percentile-based, or Standard Deviation derived. • Dynamic signal: +1 for breakout, -1 for breakdown, 0 for neutral. • Custom threshold percentiles enable precise tuning. 🎯 Ideal for: • Scalping breakouts • Event-driven spikes (e.g., CPI, FOMC) • Early trend initiation 2️⃣ 𝓣𝓻𝓮𝓷𝓭 Mode 🧭 Use case: Built to identify and follow trends with minimal noise. Stable, low-churn logic for riding moves. 🔍 Logic: • Signal generated via cross above/below a calculated midline (either fixed or dynamic mean). • Best paired with SMMA or TEMA smoothing. 🎯 Ideal for: • Swing traders • Momentum trend followers • Portfolio rotation strategies 3️⃣ 𝓗𝓐 𝓒𝓪𝓷𝓭𝓵𝓮𝓼 Mode 🔥 Use case: Filters volatility while capturing structural momentum shifts using Heikin-Ashi logic on smoothed indicators. 🔍 Logic: • Converts the smoothed signal into Heikin-Ashi candles. • Measures close vs open to determine trend direction. • Thresholds again can be static, percentile, or SD-based. 🎯 Ideal for: • Visual trend clarity • Avoiding whipsaws in sideways markets • Discretionary trading with cleaner structure • Mean-Reverting 4️⃣ 𝓢𝓽𝓪𝓽𝓲𝓼𝓽𝓲𝓬𝓪𝓵 𝓓𝓮𝓿𝓲𝓪𝓽𝓲𝓸𝓷 Mode 🧪 Use case: Detects high-volatility expansions before or during major directional surges. 🔍 Logic: • Calculates absolute deviation using HA open vs close. • Filters this with a moving average and overlays a volatility cloud. • Breaks above/below the cloud signal directional surge. 🎯 Ideal for: • Pre-breakout scanning • Identifying regime shifts • Options traders looking for volatility expansions 5️⃣ 𝓜𝓐𝓒𝓓 Mode 🧲 Use case: Classic MACD principles adapted to smoothed momentum indicators—ideal for trend continuation or crossovers. 🔍 Logic: • MACD line = Pulsar signal - EMA of signal. • Thresholds (up/down) define bias. • Optional extra filter to validate with midline crossing. 🎯 Ideal for: • Trend confirmation • Crossover-based entry strategies • Confluence with higher timeframe bias ___________________________________ 3.📊 System Sensor Table Adaptive Pulsar Momentum includes a live multi-layered analytics table designed to give traders a complete pulse on current market behavior. Here's what each section reveals: 🔁 System Signal At any given bar, the algorithm outputs one of three states: • Long ⟹ Bullish conditions are active and sustained • Short ⟹ Bearish momentum dominates • Cash ⟹ Neutral zone — conditions lack a strong directional bias This is dynamically adjusted based on the selected signal mode (Impulse, Trend, etc.) and adapts in real time to shifts in smoothed oscillator logic or candle structure. 📊 Strength: Conviction & Potential Unlike binary signals, this table offers graded insights into how strong or fragile the signal actually is, a huge upgrade from traditional systems. There are two distinct layers: 1. Conviction Strength –> shown when the system is in a full long or short signal. - A value like “Long Strength: 84%” means there's high confidence in the continuation or follow-through of the current bias. - It blends distance from threshold, momentum velocity (Rate of Change), and position in range to avoid false positives and overstretched signals. 2. Potential Strength –> shown during neutral (Cash) periods. - Two bars appear: one for bullish potential, another for bearish potential. - These answer: “If the market were to move soon, which side has the edge?” - Example: "↗ 68% / ↘ 32%" means bulls have more pent-up energy or structure. These bars provide pre-signal tension, helping traders anticipate breakouts or avoid traps during choppy periods. 🔸 HA Candle Phase (When Mode = HA Candles) Instead of showing strength bars, this mode displays a phase label, interpreting the Heikin-Ashi candle structure in context of momentum and thresholds: - Momentum Up / Down –> Strong impulse direction confirmed above or below dynamic bounds. - Reversal Up / Down –> Early signs of potential reversals (price beyond bounds but opposite signal ). - Continuation Up / Down –> Sustained movement after a signal confirmation (post-threshold cross). - Chop –> Sideways indecisiveness, often signaling to reduce risk or await clarity. - Neutral –> No active momentum or pattern signal. This provides a narrative view of market behavior, ideal for discretionary traders who rely on visual rhythm and pattern recognition. ___________________________________ 5. 🧠 Optional Smart Configuration Enable “Use Recommended Settings” to auto-configure: • Optimized lengths • Best-suited moving averages • Signal type filters • Volatility lookbacks Perfect for those wanting precision without manual tuning. ___________________________________ 6.🧪 Use Cases by Mode Summary 🔹 Impulse Mode Ideal for traders looking to capitalize on sharp breakouts or high-momentum reversals. This mode is built for speed and sensitivity, making it a go-to for scalping, reacting to news events, or identifying trends at their earliest inflection points. 🔹 Trend Mode Engineered for longer-term positioning, this mode tracks sustained directional bias over time. Best suited for swing traders or those managing portfolio allocations, it's focused on the midline dynamics that define trend health and commitment. 🔹 HA Candles Mode This mode filters out noise through smoothed Heikin-Ashi transformations, providing clean visual structure. It's perfect for discretionary traders, pattern recognizers, or those looking to enter pullbacks within broader trends. The phase system (e.g. Momentum, Reversal, Chop) adds narrative context to price action. 🔹 Statistical Deviation Mode A quantitative engine for traders who thrive on volatility exploitation. By modeling deviations from mean behavior, it's particularly powerful in options strategies, regime detection, or scanning for expansion conditions. This mode excels when price breaks away from standard norms. 🔹 MACD Mode The classic concept of momentum meets modern smoothing in this variant. Use this for confirmation, spotting divergences, or executing crossover-based strategies. MACD mode gives clarity in ambiguous zones, favoring structured continuation or reversal bias. Each mode is uniquely crafted for a different style of trader and market environment, and switching between them transforms the entire engine’s behavior ___________________________________ 🧭 Conclusion Adaptive Pulsar Momentum isn’t just a signal tool, it’s a market intelligence system. Whether you’re scalping volatility, swinging trends, or navigating uncertain chop, APM dynamically adjusts to the rhythm of the market. With precision-tuned signal modes, a smart strength matrix, and plug-and-play configuration, it transforms raw momentum into actionable clarity. 📌 Trade with Statistical Precision | Powered by QuantEdgeB 🔹 Disclaimer: Past performance is not indicative of future results. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Indicatore Pine Script®
di QuantEdgeB
Fidelity Sector Switching ProgramApproximate recreation of the "Fidelity Sector Fund Switching Program" based on Walter Deemer’s published methodology. Source: walterdeemer.com This script analyzes Fidelity sector funds, calculates relative strength ratings, and ranks them by strength. It selects the top 3 funds for holding. Exit triggers: Fund drops into the bottom half of all funds. Fund falls below the S&P 500. Fund falls below the money market rate (T-Bills). strength_rating = (( (0.5 * 8) + (0.25 * 16) + (0.25 * 32) ) * 1000) - 1000 Notes : Funds marked with " * * " are not official switching set but are included for long-term trend observation. * 90d T-Bill rates are unavailable; TBIL ETF used as proxy. * Script loads slowly due to required fund data volume. • Minor output variations may occur if the Wednesday market is closed; script uses the next available close. Intended Use & Disclaimer: • Intended for educational and analytical use only. Not financial or investment advice. • This 'program' may be at risk of Fidelity’s 90-day round-trip violation policy.
Indicatore Pine Script®
di bluesky509
MTF Analysis Panel [Invesmate]MTF Analysis Panel This indicator provides a compact Multi-Timeframe (MTF) view of trend and momentum conditions directly on the chart. It combines EMA trend checks, RSI momentum checks, and optional Relative Strength analysis to offer an intuitive overview of market structure across intraday, daily, weekly, and monthly timeframes. Trend and Momentum Analysis The script uses two primary methods for assessing the market: Trend Detection: Based on price relation to a user-selected EMA for each timeframe. Momentum Detection: Based on whether RSI is above or below 50 for each timeframe. Users can independently toggle these modules through inputs to customize the panel for different analysis needs. Trend and momentum are calculated separately to avoid bias, helping traders capture the real state of the market across multiple timeframes. Relative Strength (Optional) If enabled, when either Weekly or Monthly timeframes are selected, the panel will display Relative Strength (RS ) data. RS measures the stock's performance relative to a benchmark symbol (like NSE:NIFTY). This value shows the percent outperformance or underperformance over a user-defined period (default 55 days), allowing deeper market strength analysis. Table and Display Logic The indicator draws a neat panel on the chart using TradingView’s table functionality. Each selected timeframe (15m, 1h, 4h, 1D, 1W, 1M) will display: Trend (EMA): Green for bullish trend (Price > EMA), Red for bearish trend (Price < EMA), Gray if neutral or not applicable. Momentum (RSI): Green if RSI > 50, Red if RSI < 50, Gray if neutral. Symbols for trend and momentum can be customized between: Emoji mode (e.g., 🟢, 🔴, 🟦, 🟥) Text mode (e.g., UP, DOWN, NEUTRAL) The panel is customizable for position (Top Left, Top Right, Bottom Left, Bottom Right) to fit user preference. Color Codes Strong Bullish: All selected timeframes are trending up and momentum is rising — shown with a light green background. Strong Bearish: All selected timeframes are trending down and momentum is falling — shown with a light red background. Mixed: Any mixed state (some up, some down) — shown with a neutral gray background. This helps traders instantly recognize overall market sentiment without manually checking individual timeframes. Summary Labels At the bottom of the panel, two powerful summaries are displayed: Trend Summary: Overall trend aggregation across selected timeframes ("STRONG BULLISH", "STRONG BEARISH", or "MIXED"). Momentum Summary: Overall momentum aggregation ("MOMENTUM UP", "MOMENTUM DOWN", or "MOMENTUM MIXED"). When Relative Strength is available (Weekly or Monthly enabled), it is also shown separately at the bottom, providing a complete strength-versus-benchmark view. Input Controls Enable EMA Trend Check: Toggle EMA-based trend detection. Enable RSI Momentum Check: Toggle RSI-based momentum detection. Timeframes to Display: 15m, 1h, 4h, 1D, 1W, 1M can be independently turned on or off. EMA Length per Timeframe: Customize EMA lengths for different timeframes. RSI Length: Set RSI calculation period. Comparative Symbol: Select the benchmark symbol for Relative Strength calculations. RS Period: Choose the lookback period for Relative Strength. Emoji Display Toggle: Switch between emoji-based or text-based display styles. Table Location: Choose where the analysis panel appears on the chart. Special Features Realtime Updating: The panel updates dynamically as bars close, maintaining real-time relevance. Maximum Label Control : Designed to respect TradingView's maximum label limits to avoid runtime errors. Optimized for Performance: Uses conditional requests and security calls efficiently, minimizing script execution load. Known Limitations Request.security limitations: Relative Strength is only calculated on Daily data for stability; lower timeframe RS is not implemented. TradingView Table Size: On some screen sizes or with many timeframes selected, table may overlap candles. Adjust panel location accordingly.
Indicatore Pine Script®
di Invesmate_Research_Team
Market Push Meter - CoffeeStyleMarket Push Meter - CoffeeKiller Indicator Guide Welcome traders! This guide will walk you through the Market Push Meter indicator, a sophisticated volume analysis tool developed by CoffeeKiller with the help and assistance of FindBetterTrades that measures and visualizes the ongoing battle between buyers and sellers through volume pressure analysis. 🔔 **Warning: This Is Not a Standard Volume Indicator** 🔔 This indicator analyzes volume pressure in a unique way, combining directional volume with price action to identify market imbalances between buyers and sellers. All credit for the core logic for this indicator goes to FindBetterTrades and his/hers Volume Pressure Histogram (Normalized) (this is my adaptation and style added to that core logic, thus the CoffeeStyle name was added). Core Concept: Volume Pressure Analysis The foundation of this indicator lies in measuring the imbalance between buying and selling volume, providing insights into which market participants are exerting more pressure on price movements. Volume Pressure Columns: Buying vs Selling Force - Positive Green Columns: Net buying pressure - Negative Red Columns: Net selling pressure - Color intensity varies based on pressure strength - Special coloring for new high/low boundaries Marker Lines: Dynamic Support/Resistance - High Marker Line (Magenta): Tracks the highest point reached during buying phases - Low Marker Line (Cyan): Tracks the lowest point reached during selling phases - Creates visual boundaries showing pressure extremes Peak Detection System: - Triangular markers identify significant local maxima and minima - Background highlighting shows important pressure peaks - Helps identify potential reversal points and pressure exhaustion Reference Lines: - Overbought Level: Threshold for extreme selling pressure - Oversold Level: Threshold for extreme buying pressure - Used to identify potential reversal zones Core Components 1. Volume Pressure Calculation - Separation of up-volume and down-volume - Calculation of net volume pressure - Smoothing for consistent visualization - Normalization against total volume for percentage scaling 2. Boundary Tracking System - Automatic detection of highest values in buying phases - Automatic detection of lowest values in selling phases - Step-line visualization of boundaries - Color-coded for easy identification 3. Peak Detection System - Identification of local maxima and minima - Background highlighting of significant peaks - Triangle markers for peak visualization - Zero-line cross detection for trend changes 4. Threshold Settings - Extreme threshold multiplier for identifying significant pressure - Overbought/oversold levels for potential reversals - Dynamic color coding based on pressure intensity - Alert conditions for key pressure levels Main Features Volume Analysis Settings - Customizable volume MA length - Signal smoothing for clearer readings - Optional log scale for handling wide range variations - Adjustable threshold multiplier for sensitivity Visual Elements - Color-coded columns showing pressure direction and strength - Dynamic marker lines for pressure boundaries - Peak triangles for significant turning points - Background highlighting for peak identification - Overbought/oversold reference lines Signal Generation - Zero-line crosses for trend change signals - Boundary breaks for pressure strength - Peak formation for potential reversals - Color changes for pressure direction and intensity - Alert conditions for extreme pressure levels Customization Options - Volume analysis parameters - Marker line visibility and colors - Peak marker display options - Log scale toggle for handling various markets - Overbought/oversold threshold adjustments Trading Applications 1. Trend Identification - Volume pressure crossing above zero: buying pressure emerging - Volume pressure crossing below zero: selling pressure emerging - Column color: indicates pressure direction - Column height: indicates pressure strength - Signal line: confirms overall trend direction 2. Reversal Detection - Peak triangles after extended trend: potential exhaustion - Background highlighting: significant reversal points - Volume pressure approaching marker lines: potential trend change - Color shifts from bright to muted: decreasing pressure - Readings beyond overbought/oversold levels: potential reversal zones 3. Pressure Analysis - Breaking above previous high boundary: accelerating buying pressure - Breaking below previous low boundary: accelerating selling pressure - Special coloring (magenta/cyan): boundary breaks indicating strength - Extreme readings: potential climactic buying/selling 4. Market Structure Assessment - Consecutive higher peaks: strengthening buying structure - Consecutive lower troughs: strengthening selling structure - Peak comparisons: relative strength of pressure phases - Boundary line steps: market structure levels Optimization Guide 1. Volume Analysis Settings - Volume MA Length: Default 25 provides balanced signals - Lower values (10-15): More responsive, potentially noisier - Higher values (30-50): Smoother, fewer false signals - Signal Smoothing Length: Default 8 provides good balance - Lower values: More responsive to pressure changes - Higher values: Smoother trend identification 2. Threshold Settings - Extreme Threshold Multiplier: Default 20.0 - Lower values: More signals, potentially more noise - Higher values: Fewer signals, but more significant - Overbought/Oversold Levels: Defaults at 20/-20 - Adjust based on instrument volatility - Wider settings for more volatile instruments 3. Visual Customization - Marker Line Colors: Adjust for visibility on your chart - Peak Marker Color: Default yellow provides good contrast - Enable/disable background highlights based on preference - Consider log scale for instruments with wide volume ranges 4. Alert Settings - Configure alerts for high buying pressure - Configure alerts for high selling pressure - Set additional alerts for zero-line crosses - Consider timeframe when setting alert sensitivity Best Practices 1. Signal Confirmation - Wait for zero-line crosses to confirm pressure changes - Look for peak formations to identify potential reversals - Check for boundary breaks to confirm strong pressure - Use with price action for entry/exit precision - Consider extreme threshold crossings as significant signals 2. Timeframe Selection - Lower timeframes: more signals, potential noise - Higher timeframes: cleaner signals, less frequent - Multiple timeframes: confirm signals across time horizons - Match to your trading style and holding period 3. Market Context - Strong buying phase: positive columns breaking above marker line - Strong selling phase: negative columns breaking below marker line - Columns approaching zero: potential pressure shift - Columns beyond overbought/oversold: extreme conditions, potential reversal 4. Combining with Other Indicators - Use with trend indicators for confirmation - Pair with price action oscillators for divergence detection - Combine with traditional volume indicators for validation - Consider support/resistance levels with boundary lines Advanced Trading Strategies 1. Boundary Break Strategy - Enter long when volume pressure breaks above previous high marker line - Enter short when volume pressure breaks below previous low marker line - Use zero-line as initial stop-loss reference - Take profits at formation of opposing peaks 2. Peak Trading Strategy - Identify significant peaks with triangular markers - Look for consecutive lower peaks in buying phases for shorting opportunities - Look for consecutive higher troughs in selling phases for buying opportunities - Use zero-line crosses as confirmation 3. Extreme Reading Strategy - Look for volume pressure beyond overbought/oversold levels - Watch for color changes and peak formations - Enter counter-trend positions after confirmed peaks - Use tight stops due to extreme market conditions 4. Volume Color Strategy - Enter long when columns turn bright green (increasing buying pressure) - Enter short when columns turn bright red (increasing selling pressure) - Exit when color intensity fades (decreasing pressure) - Use marker lines as dynamic support/resistance Practical Analysis Examples Bullish Market Scenario - Volume pressure crosses above zero line - Green columns grow in height and intensity - High marker line forms steps upward - Peak triangles appear at local maxima - Background highlights appear at significant buying pressure peaks Bearish Market Scenario - Volume pressure crosses below zero line - Red columns grow in depth and intensity - Low marker line forms steps downward - Peak triangles appear at local minima - Background highlights appear at significant selling pressure troughs Consolidation Scenario - Volume pressure oscillates around zero line - Column colors alternate frequently - Marker lines remain relatively flat - Few or no new peak highlights appear - Pressure values remain small Understanding Market Dynamics Through Market Push Meter At its core, this indicator provides a unique lens to visualize market pressure through volume analysis: 1. Volume Imbalance: By separating and comparing buying volume (up candles) from selling volume (down candles), the indicator provides insights into which side is exerting more pressure in the market. 2. Normalized Pressure: The indicator normalizes volume pressure as a percentage of total volume, making it more comparable across different market conditions and instruments. 3. Dynamic Boundaries: The marker lines create a visual representation of the "high water marks" of pressure in both directions, helping to identify when markets are making new pressure extremes. 4. Exhaustion Signals: The peak detection system highlights moments where pressure has reached a local maximum or minimum, often precursors to reversals or consolidations. Remember: - Combine signals from volume pressure, marker lines, and peak formations - Use appropriate timeframe settings for your trading style - Customize the indicator to match your visual preferences and market - Consider overall market conditions and correlate with price action This indicator works best when: - Used as part of a comprehensive trading system - Combined with proper risk management - Applied with an understanding of current market conditions - Signals are confirmed by price action and other indicators DISCLAIMER: This indicator and its signals are intended solely for educational and informational purposes. They do not constitute financial advice. Trading involves significant risk of loss. Always conduct your own analysis and consult with financial professionals before making trading decisions.
Indicatore Pine Script®
di CoffeeKiller
RSI Plus + Description: RSI Plus + is an enhanced Relative Strength Index (RSI) indicator that provides a multi-timeframe view of RSI values across various timeframes. It highlights overbought and oversold conditions for a more comprehensive analysis, with additional focus on the Relative RSI (RRSI), which compares the current RSI to the average RSI. This provides insight into relative market strength or weakness, giving traders a clear view of how the current market conditions compare to historical averages. The indicator is ideal for spotting potential market reversals, pullbacks, or trend continuations. Overview RSI Plus + offers a multi-timeframe RSI display across the following timeframes: - 2m (2 minutes) - 5m (5 minutes) - 15m(15 minutes) - 30m (30 minutes) - 1h (1 hour) - 4h (4 hours) - 12h (12 hours) - Daily (1 Day) - Weekly (1 Week) - Monthly (1 Month) The indicator displays a table with RSI, Average RSI, and Relative RSI (RRSI) values for each selected timeframe. The table is color-coded to indicate overbought (RSI > 70) or oversold (RSI < 30) conditions. Additionally, visual triangle alerts are plotted on the chart to signal potential trade opportunities when all selected timeframes show either overbought or oversold conditions. The RRSI provides insight into the current market’s relative strength or weakness by comparing the current RSI to its historical average. How to Use 1. Setting Up the Indicator: - Add RSI Plus + to your TradingView chart. - Enable or disable timeframes using the checkboxes (e.g., 2m, 5m, 15m, Daily, Weekly, etc.) to customise the timeframes you want to analyse. 2. Understanding the Table Layout: The indicator displays a table in the top-right corner of the chart with the following columns: - Row 0 Timeframes (2m, 5m, 15m, 30m, 1h, 4h, 12h, Daily, Weekly, Monthly). - Row 1 RRSI (Relative RSI: the current RSI compared to the average RSI). - Row 2 Average RSI (The average RSI for each timeframe). - Row 3 Current RSI (The current RSI value for each timeframe). The RRSI (Relative RSI) row compares the current RSI with the average RSI, offering insight into the current relative strength or weakness. This allows traders to gauge whether the market is stronger or weaker compared to its historical performance within the selected timeframe. 3. Interpreting the Relative RSI (RRSI) - RRSI > 1: If the Relative RSI (RRSI)is greater than 1, it means the current RSI is stronger than its historical average, indicating stronger market strength. This could be a sign of momentum in the direction of the trend. - RRSI < 1: If the RRSI is below 1, it means the current RSI is weaker than its historical average, signalling relative market weakness. This may indicate the possibility of a reversal or pullback before the trend resumes. - RRSI ~ 1: When the RRSI is around 1, it indicates that the current RSI is in line with its historical average, suggesting neutral market conditions. 4. Using the Visual Cues (Triangle Shapes): - Green Triangle: Plotted above the price bars when all selected timeframes show RSI values above 70 (overbought), signalling potential exhaustion and a short signal or a pullback before continuation. - Red Triangle: Plotted below the price bars when all selected timeframes show RSI values below 30*(oversold), signalling potential market reversal and long signal or a pullback before continuation* These triangle shapes are clear visual alerts for traders to act upon when all timeframes signal extreme conditions. 5. Overbought/Oversold Conditions as Signals: Overbought Conditions: If all selected timeframes show RSI values above 70 (green triangles appear), it suggests that the market may be overbought, signalling a potential short trade opportunity or a pullback before continuation. Oversold Conditions: If all selected timeframes show RSI values below 30 (red triangles appear), it suggests that the market may be oversold, signalling a potential long trade or short term bounce opportunity or a pullback before continuation. 6. Set alerts for when all selected timeframes turn overbought (green triangles) or all turn oversold (red triangles). This alert condition will notify you when all selected timeframes signal extreme market conditions, which could indicate a strong reversal or continuation in price. Notes: RRSI provides an additional layer of analysis by showing the current relative strength or weakness of the market. A higher RRSI indicates strength relative to historical performance, while a lower RRSI signals weakness. RSI Plus + is best used alongside other technical tools to confirm trade setups. RRSI can help traders determine whether the market is likely to continue its trend or if a correction or reversal is imminent. Customisable Timeframes: The RSI Plus + indicator is fully customisable, allowing you to select RSI length (RSI Period), which timeframes to analyse, from as short as 2 minutes up to monthly intervals, a personally chosen selection This gives traders the flexibility to tailor the indicator to their preferred trading style and time horizon.
Indicatore Pine Script®
di Edgear
ZenAlgo - QZenAlgo - Q Description ZenAlgo - Q is an oscillator based on the QQE (Quantitative Qualitative Estimation) method. This version incorporates refinements for additional visualization and interpretation options. It is designed to help traders observe momentum changes and divergence patterns in price movements. Key Features QQE-Based Calculation : Derived from the open-source QQE script by Glaz (Metastock Version of QQE), with modifications for alternative visualization. Dual RSI-Based Analysis : Uses two RSI calculations to provide additional context on price movements. Adaptive Trend Bands : Adjust dynamically based on the market conditions. Divergence Identification : Highlights potential differences between price action and oscillator movement. Dynamic Color Coding : Displays histogram bars to illustrate shifts in oscillator values. Configurable Alerts : Enables notifications for specific oscillator conditions. How It Works The indicator calculates a smoothed RSI-based oscillator that tracks the relative strength of price movement. It applies an exponential moving average (EMA) smoothing to reduce noise while maintaining responsiveness. Two adaptive bands are calculated using a variation of the QQE method, which helps define dynamic overbought and oversold conditions. The histogram bars shift in color based on the position of the oscillator relative to the bands. Lighter shades indicate weaker momentum, while stronger momentum is represented by more saturated colors. The script also includes a secondary RSI component, which provides an additional layer of analysis. This secondary RSI helps refine momentum trends by smoothing out short-term fluctuations. Divergence identification is built-in, highlighting where price action deviates from oscillator readings. Bullish divergence occurs when price forms a lower low while the oscillator forms a higher low, and bearish divergence is identified when price forms a higher high while the oscillator forms a lower high. The indicator does not generate buy or sell signals but instead provides contextual information that can be used alongside other trading strategies. Use Cases Trend Observation : Traders can use the histogram to observe whether momentum is strengthening or weakening over time. A shift in color can indicate a potential change in trend strength. Divergence Analysis : By comparing oscillator divergence with price movement, traders can identify situations where price action may be losing momentum. Divergences do not guarantee reversals but can serve as an early warning to re-evaluate positions. Momentum Tracking : The dual RSI structure allows users to monitor both short-term and long-term momentum. When both RSI components are aligned, it suggests a more stable trend, while divergence between them may indicate potential consolidation or trend shifts. Supplementary Analysis : This indicator is best used as a supporting tool alongside volume-based or trend-following indicators. It helps visualize underlying price behavior but should not be used in isolation for decision-making. Market Context Interpretation : The combination of adaptive bands and histogram visualization allows traders to assess how recent price action compares to historical movement, helping to place current conditions in a broader market context. Attribution This script is an adaptation of the open-source QQE script originally developed by Glaz. We acknowledge and appreciate the original author's work, which served as a foundation for our modifications. Disclaimer This indicator is intended for informational purposes only. It should not be interpreted as financial advice. Always conduct independent research and risk management before making trading decisions.
Indicatore Pine Script®
di ZenAlgo_Official
2
Metaphor Vigour Ratio### **Script Name:** Metaphor Vigour Ratio **Short Title:** Metaphor Vigour Ratio **Author:** Sovit Manjani, CMT **Description:** The Metaphor Vigour Ratio (MVRatio) is a powerful Relative Strength Indicator designed for assessing normalized relative strength. It is versatile and can be applied to any script or used to rank symbols based on their intermarket relative strength. --- ### **Features:** 1. **Bullish and Bearish Signals:** - **Above 100:** Indicates a bullish trend. - **Below 100:** Indicates a bearish trend. 2. **Trend Analysis with Slope:** - **Slope Rising:** Suggests bullish momentum. - **Slope Falling:** Suggests bearish momentum. 3. **Stock Selection Strategy:** - Identify and rank stocks based on the MVRatio. For example, buy the top 10 stocks of Nifty with the highest MVRatio values for strong performance potential. --- ### **Inputs:** 1. **Fast EMA Period (RSEMAFast):** Default set to 10. Controls the sensitivity of the Fast Moving Average. 2. **Slow EMA Period (RSEMASlow):** Default set to 30. Provides a stable trend base with the Slow Moving Average. 3. **Smooth EMA Period (SmoothEMA):** Default set to 3. Smooths the MVRatio for better clarity. 4. **Close Source:** Default is the closing price, but it can be customized as needed. 5. **Comparative Symbol (ComparativeTickerId):** Default is "NSE:NIFTY," allowing comparison against a benchmark index. --- ### **Calculation Logic:** 1. **Relative Strength (RS):** - Calculated as the ratio of the base symbol's price to the comparative symbol's price. 2. **Exponential Moving Averages (FastMA and SlowMA):** - Applied to the RS to smooth and differentiate trends. 3. **Metaphor Vigour Ratio (MVRatio):** - Computed as the ratio of FastMA to SlowMA, scaled by 100, and further smoothed using SmoothEMA. --- ### **Visualization:** 1. **MVRatio Plot (Blue):** - Represents the relative strength dynamics. 2. **Reference Line at 100 (Gray):** - Helps quickly identify bullish (above 100) and bearish (below 100) zones. --- ### **How to Use:** 1. Add the indicator to your chart from TradingView's Pine Script editor. 2. Compare the performance of any symbol relative to a benchmark (e.g., Nifty). 3. Analyze trends, slopes, and ranking based on MVRatio values to make informed trading decisions. --- **Note:** This indicator is for educational purposes and should be used alongside other analysis methods to make trading decisions.
Indicatore Pine Script®
di YUBHA
Strength of Divergence Across Multiple Indicators (+CMF&VWMACD)Modified Version of Strength of Divergence Across Multiple Indicators by reees Purpose: This Pine Script indicator is designed to identify and evaluate the strength of bullish and bearish divergences across multiple technical indicators. Divergences occur when the price of an asset is moving in one direction while a technical indicator is moving in the opposite direction, potentially signaling a trend reversal. Key Features: 1. Multiple Indicator Support: The script now analyzes divergences for the following indicators: * RSI (Relative Strength Index) * OBV (On-Balance Volume) * MACD (Moving Average Convergence/Divergence) * STOCH (Stochastic Oscillator) * CCI (Commodity Channel Index) * MFI (Money Flow Index) * AO (Awesome Oscillator) * CMF (Chaikin Money Flow) - Newly added * VWMACD (Volume-Weighted MACD) - Newly added 2. Customizable Divergence Parameters: * Bullish/Bearish: Enable or disable the detection of bullish and bearish divergences independently. * Regular/Hidden: Detect both regular and hidden divergences (hidden divergences can indicate trend continuation). * Broken Trendline Exclusion: Optionally ignore divergences where the trendline connecting price pivots is broken by an intermediate pivot. * Pivot Lookback Periods: Adjust the number of bars used to identify valid pivot highs and lows for divergence calculations. * Weighting: Assign different weights to regular vs. hidden divergences and to the relative change in price vs. the indicator. 3. Indicator-Specific Settings: * Weight: Each indicator can be assigned a weight, influencing its contribution to the overall divergence strength calculation. * Extreme Value: Define a threshold above which an indicator's divergence is considered "extreme," giving it a higher strength rating. 4. Divergence Strength Calculation: * For each indicator, the script calculates a divergence "degree" based on the magnitude of the divergence and the user-defined weightings. * The total divergence strength is the sum of the individual indicator divergence degrees. * Strength is categorized as "Extreme," "Very strong," "Strong," "Moderate," "Weak," or "Very weak." 5. Visualization: * Divergence Lines: The script draws lines on the chart connecting the price and indicator pivots that form a divergence (optional, with customizable transparency). * Labels: Labels display the total divergence strength and a breakdown of each indicator's contribution. The size and visibility of labels are based on the strength. 6. Alerts: * The script can generate alerts when the total divergence strength exceeds a user-defined threshold. New Indicators (CMF and VWMACD): * Chaikin Money Flow (CMF): * Purpose: Measures the buying and selling pressure by analyzing the relationship between price, volume, and the accumulation/distribution line. * Divergence: A bullish CMF divergence occurs when the price makes a lower low, but the CMF makes a higher low (suggesting increasing buying pressure). A bearish divergence is the opposite. * Volume-Weighted MACD (VWMACD): * Purpose: Similar to the standard MACD but uses volume-weighted moving averages instead of simple moving averages, giving more weight to periods with higher volume. * Divergence: Divergences are interpreted similarly to the standard MACD, but the VWMACD can be more sensitive to volume changes. How It Works (Simplified): 1. Pivot Detection: The script identifies pivot highs and lows in both price and the selected indicators using the specified lookback periods. 2. Divergence Check: For each indicator: * It checks if a series of pivots in price and the indicator are diverging (e.g., price makes a lower low, but the indicator makes a higher low for a bullish divergence). * It calculates the divergence degree based on the difference in price and indicator values, weightings, and whether it's a regular or hidden divergence. 3. Strength Aggregation: The script sums up the divergence degrees of all enabled indicators to get the total divergence strength. 4. Visualization and Alerts: It draws lines and labels on the chart to visualize the divergences and generates alerts if the total strength exceeds the set threshold. Benefits: * Comprehensive Divergence Analysis: By considering multiple indicators, the script provides a more robust assessment of potential trend reversals. * Customization: The many adjustable parameters allow traders to fine-tune the script to their specific trading style and preferences. * Objective Strength Evaluation: The divergence strength calculation and categorization offer a more objective way to evaluate the significance of divergences. * Early Warning System: Divergences can often precede significant price movements, making this script a valuable tool for anticipating potential trend changes. * Volume Confirmation: The inclusion of CMF and VWMACD add volume-based confirmation to the divergence signals, potentially increasing their reliability. Limitations: * Lagging Indicators: Most of the indicators used are lagging, meaning they are based on past price data. Divergences may sometimes occur after a significant price move has already begun. * False Signals: No indicator is perfect, and divergences can sometimes produce false signals, especially in choppy or ranging markets. * Subjectivity: While the script aims for objectivity, some settings (like weightings and extreme values) still involve a degree of subjective judgment.
Indicatore Pine Script®
di AzamSaja
2
RSI from Rolling VWAP [CHE]Introducing the RSI from Rolling VWAP Indicator Elevate your trading strategy with the RSI from Rolling VWAP —a cutting-edge indicator designed to provide unparalleled insights and enhance your decision-making on TradingView. This advanced tool seamlessly integrates the Relative Strength Index (RSI) with a Rolling Volume-Weighted Average Price (VWAP) to deliver precise and actionable trading signals. Why Choose RSI from Rolling VWAP ? - Clear Trend Detection: Our enhanced algorithms ensure accurate identification of bullish and bearish trends, allowing you to capitalize on market movements with confidence. - Customizable Time Settings: Tailor the time window in days, hours, and minutes to align perfectly with your unique trading strategy and market conditions. - Flexible Moving Averages: Select from a variety of moving average types—including SMA, EMA, WMA, and more—to smooth the RSI, providing clearer trend analysis and reducing market noise. - Threshold Alerts: Define upper and lower RSI thresholds to effortlessly spot overbought or oversold conditions, enabling timely and informed trading decisions. - Visual Enhancements: Enjoy a visually intuitive interface with color-coded RSI lines, moving averages, and background fills that make interpreting market data straightforward and efficient. - Automatic Signal Labels: Receive immediate bullish and bearish labels directly on your chart, signaling potential trading opportunities without the need for constant monitoring. Key Features - Inspired by Proven Tools: Building upon the robust foundation of TradingView's Rolling VWAP, our indicator offers enhanced functionality and greater precision. - Volume-Weighted Insights: By incorporating volume into the VWAP calculation, gain a deeper understanding of price movements and market strength. - User-Friendly Configuration: Easily adjust settings to match your trading preferences, whether you're a novice trader or an experienced professional. - Hypothesis-Driven Analysis: Utilize hypothetical results to backtest strategies, understanding that past performance does not guarantee future outcomes. How It Works 1. Data Integration: Utilizes the `hlc3` (average of high, low, and close) as the default data source, with customization options available to suit your trading needs. 2. Dynamic Time Window: Automatically calculates the optimal time window based on an auto timeframe or allows for fixed time periods, ensuring flexibility and adaptability. 3. Rolling VWAP Calculation: Accurately computes the Rolling VWAP by balancing price and volume over the specified time window, providing a reliable benchmark for price action. 4. RSI Analysis: Measures momentum through RSI based on Rolling VWAP changes, smoothed with your chosen moving average for enhanced trend clarity. 5. Actionable Signals: Detects and labels bullish and bearish conditions when RSI crosses predefined thresholds, offering clear indicators for potential market entries and exits. Seamless Integration with Your TradingView Experience Adding the RSI from Rolling VWAP to your TradingView charts is straightforward: 1. Add to Chart: Simply copy the Pine Script code into TradingView's Pine Editor and apply it to your desired chart. 2. Customize Settings: Adjust the Source Settings, Time Settings, RSI Settings, MA Settings, and Color Settings to align with your trading strategy. 3. Monitor Signals: Watch for RSI crossings above or below your set thresholds, accompanied by clear labels indicating bullish or bearish trends. 4. Optimize Your Trades: Leverage the visual and analytical strengths of the indicator to make informed buy or sell decisions, maximizing your trading potential. Disclaimer: The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Get Started Today Transform your trading approach with the RSI from Rolling VWAP indicator. Experience the synergy of momentum and volume-based analysis, and unlock the potential for more accurate and profitable trades. Download now and take the first step towards a more informed and strategic trading journey! For further inquiries or support, feel free to contact Best regards Chervolino Inspired by the acclaimed Rolling VWAP by TradingView
Indicatore Pine Script®
di chervolino
3
Comprehensive Market Overview1. What is this indicator about? The "Comprehensive Market Overview" indicator provides a holistic view of the market by incorporating several key metrics: Close Price: Displays the current close price below each candle. Percent from All-Time High: Calculates how far the current close price is from the highest high observed over a specified period. RSI (Relative Strength Index): Measures the momentum of price movements to assess whether a stock is overbought or oversold. Volume Gain: Computes the current volume relative to its 20-period simple moving average (SMA), indicating volume strength or weakness. Volatility: Quantifies market volatility by calculating the ratio of the Bollinger Bands' width (difference between upper and lower bands) to the SMA. 2. How it works? Close Price Label: This label is displayed below each bar, showing the current close price. Percent from All-Time High: Calculates the percentage difference between the highest high observed (all-time high) and the current close price. RSI Calculation: Computes the RSI using a 14-period setting, providing insight into whether a stock is potentially overbought or oversold. Volume Strength: Computes the current volume divided by its 20-period SMA, indicating whether volume is above or below average. Volatility Calculation: Calculates the width of the Bollinger Bands (based on a 20-period SMA and 2 standard deviations) and expresses it as a percentage of the SMA, providing a measure of market volatility 3.Correct Trend Identification with Indicators All-Time High (ATH) Levels: Low Value (Near ATH): When the percent from ATH is low (close to 0%), it indicates that the current price is near the all-time high zone. This suggests strong bullish momentum and potential resistance levels. High Value (Below ATH): A high percentage from ATH indicates how much the current price is below the all-time high. This could signal potential support levels or opportunities for price recovery towards previous highs. RSI (Relative Strength Index): Overbought (High RSI): RSI values above 70 typically indicate that the asset is overbought, suggesting a potential reversal or correction in price. Oversold (Low RSI): RSI values below 30 indicate oversold conditions, suggesting a potential rebound or price increase. Swing Trading Strategies Confirmation with Visual Analysis: Visualizing the chart to confirm ATH levels and RSI readings can provide strong indications of market sentiment and potential trading opportunities: Bullish Signals: Look for prices near ATH with RSI confirming strength (not yet overbought), indicating potential continuation or breakout. Bearish Signals: Prices significantly below ATH with RSI showing weakness (not yet oversold), indicating potential for a bounce or reversal. Volume Confirmation: Comparing current volume to its SMA helps confirm the strength of price movements. Higher current volume relative to the SMA suggests strong price action. Volatility Assessment: Monitoring volatility through the Bollinger Bands' width ratio helps assess potential price swings. Narrow bands suggest low volatility, while wide bands indicate higher volatility and potential trading opportunities. 4.Entry and Exit Points: Entry: Consider entering long positions near support levels when prices are below ATH and RSI is oversold. Conversely, enter short positions near resistance levels when prices are near ATH and RSI is overbought. Exit: Exit long positions near resistance or ATH levels when prices show signs of resistance or RSI becomes overbought. Exit short positions near support levels or when prices rebound from oversold conditions. Risk Management: Always incorporate risk management techniques such as setting stop-loss orders based on support and resistance levels identified through ATH and RSI analysis. Implementation Example
Indicatore Pine Script®
di Tradernawab
[Forex Fondamental Overview SGM]Fundamental analysis tool designed for currency trading in financial markets. The script generates a dashboard that displays key economic indicators for two selected currencies. Here is what makes this script particularly interesting for a trader: 1. Direct comparison between two currencies: The script allows you to choose two currencies (from a predefined list) and directly compare their key economic indicators such as interest rate, GDP growth, debt-to-GDP ratio, unemployment rate, inflation (CPI and PPI), and the services and manufacturing PMI indices. This gives you immediate insight into the economic strengths and weaknesses of each currency, which is crucial for making informed trading decisions. 2. Automatic data updating: Indicator values are updated automatically using security requests (request.security) that pull the most recent data available. This means you don't need to manually update data or check multiple sources; the script takes care of that for you. 3. Currency Relative Strength Calculation: The script calculates a strength index for each currency based on its economic indicators, and then it determines a relative strength index for the currency pair. This allows you to quickly see which currency is currently strongest, providing a basis for "buy strength, sell weakness" trading strategies. 4. Intuitive visualization: Results are presented in clear tables with colored indicators, making the information quickly digestible. For example, the background color changes depending on the relative strength of the currency pair, giving you an immediate visual signal of the overall trend. 5. Adaptability to different trading strategies: Whether you are a swing trader, a day trader, or a scalper, understanding the economic state of currencies can help you align your trading positions with underlying macroeconomic trends. This script gives you this information without requiring detailed economic analysis on your part. In short, this script is a powerful tool for any Forex trader who wants to integrate fundamental analysis into their trading routine without bothering with the complexity of tracking and analyzing a multitude of economic indicators manually.
Indicatore Pine Script®
di Sigaud
3
TASC 2023.12 Growth and Value Switching System█ OVERVIEW This script implements a rotation system for trading value and growth ETFs, as developed by Markos Katsanos and detailed in the article titled 'Growth Or Value?' in TASC's December 2023 edition of Traders' Tips . The purpose of this script is to demonstrate how short-term momentum can be employed to track market trends and provide clarity on when to switch between value and growth. █ CONCEPTS The central concept of the presented rotation strategy is based on the observation that the stock market undergoes cycles favoring either growth or value stocks. Consequently, the script introduces a momentum trading system that is designed to switch between value and growth equities based on prevailing market conditions. Specifically tailored for long-term index investors, the system focuses on trading Vanguard's value and growth ETFs ( VTV and VUG ) on a weekly timeframe. To identify the ETF likely to outperform, the script uses a custom relative strength indicator applied to both VTV and VUG in comparison with an index ( SPY ). To minimize risk and drawdowns during bear markets, when both value and growth experience downtrends, the script employs the author's custom volume flow indicator (VFI) and blocks trades when its reading indicates money outflow . Positions are closed if the relative strength of the current open trade ETF falls below that of the other ETF for two consecutive weeks and is also below its moving average. Additionally, the script implements a stop-loss when the ETF is trading below its 40-week moving average, but only during bear markets. The script plots the relative strengths of the value and growth equities along with the signals triggered by the aforementioned rules. Information about the current readings of the relative strength and volume flow indicators, along with the current open position, is displayed in a table. █ CALCULATIONS The script uses the request.security() function to gather price data for both equities and the reference index. Custom relative strength and volume flow indicators are calculated based on the formulas presented in the original article. By default, the script employs the same parameters for these indicators as proposed in the original article for VTV and VUG on a weekly timeframe.
Indicatore Pine Script®
di PineCodersTASC
Quantum Currency MatrixOf all the four principal capital markets, the world of foreign exchange trading is the most complex and most difficult to master, unless of course you have the right tools! The reason for this complexity is not hard to understand. First currencies are traded in pairs. Each position is a judgment of the forces driving two independent markets. If the GBP/USD for example is bullish, is this being driven by strength in the pound, or weakness in the US dollar. Imagine if we had to do the same thing trading stocks for example. Consider trading Google against Amazon. If this ‘pair’ were rising, is this being driven by strength in Google or weakness in Amazon? Almost impossible to analyze. To compound this problem, every currency can be bought or sold against a myriad of other currencies. This raises the next key question. If the GBP/USD is bullish once again, is the British pound strong against all the other major currencies, such as the GBP/JPY, the GBP/CAD, the EUR/GBP etc. If it is, then this is clearly a sign that the UK pound is being bought universally in the market. Equally for the US dollar, if it is sold universally in pairs such as the USD/CAD, the USD/JPY and others, then we can assume that the GBP/USD is rising as a result of strong buying of the pound universally, and strong selling across the market of the US dollar. Finally, we come to the third problem, which is trying to assess the strength of this buying or selling. After all a currency may be overbought (strong) or oversold (weak) but how strong is strong, and how weak is weak. Consider this for a moment. Assume you have decided to buy the GBP/USD and have the following information to help you in your analysis: - Whether the GBP is also being bought in all the other cross currency pairs - Whether the USD is also being sold in all the other major currency pairs - The relative strength of buying in the GBP/USD pair Trading success is all about assessing risk and the probability of success on each trade. Would this information give you a high risk, medium or low risk trading position? And the answer……… is a low risk trading opportunity. After all, you are now taking a position based on a view across the market. First, if you are basing your decision on universal buying or selling of a currency, then you are trading with the entire weight of the market, and not just on the analysis of one currency pair – it’s low risk. Second, if you know the relative strength of this buying or selling against all the other currency pairs, then this gives you the complete picture – if its strong, then again – it’s low risk. Third and last, if you know what the counter currency is also doing in terms of strong or weak, then once more if its strong – it’s low risk. This is where the Quantum Currency Matrix steps in. It provides the solution to all three problems in one elegant indicator. It shows you the complete picture across the market in a simple matrix, which works in all timeframes from 1 minute to 1 month. From the eight major currencies come the 28 currency pairs which are then displayed in a table, with their relative strength scores, updated second by second and minute by minute. As you can see, the Currency Matrix displays the complete spectrum of currency pair strength, from very bullish at the top of the matrix and bright green, to heavily bearish at the bottom of the matrix, and bright red. Those currency pairs moving up or down the ladder from bullish to bearish or bearish to bullish are then shaded in the transitional colors of orange, and yellow to light green. Every pair is displayed with a ranking score. Above 0.00 indicates the pair is moving into a bullish phase, whilst a score below 0.00 indicates bearish momentum is increasing. Each currency can then be isolated to show the 7 associated pairs and their relative scores. If all the associated pairs are showing similar strength (either bullish or bearish) then this is either a good time to join the move, or alternatively it may be an opportunity to wait for a reversal in trend as the pair becomes overbought or oversold. The Quantum Currency Matrix gives you the tool to see the complexities of the Forex market in real time across all the related pairs, along with the strength of the buying and selling. Whilst it is possible to do this manually using multiple charts, what a manual matrix will not provide is any measure of the relative strength. The indicator does this for you automatically by considering the price action across all the related currency pairs and then deriving the relative strength scores accordingly. These are the ranking scores which you see displayed on each currency pair and by which they are ranked in the ladder. Filter The Currency Matrix indicator allows you to filter the currency pairs relevant to the currency you are analysing. An input is provided in the indicator’s settings window which you can click to select a currency. - USD selects all currency pairs that contain the US Dollar. - EUR selects all currency pairs that contain the Euro. - GBP selects all currency pairs that contain the British Pound. - CHF selects all currency pairs that contain the Swiss Franc. - JPY selects all currency pairs that contain the Japanese Yen. - CAD selects all currency pairs that contain the Canadian Dollar. - AUD selects all currency pairs that contain the Australian Dollar. - NZD selects all currency pairs that contain the New Zealand Dollar. Click the Filter option box and select a currency in the list to apply a filter. If you like to undo a filter, simply select NONE. When a certain currency filter is in effect, the currency pairs that include the selected currency in the matrix appear in color. Extremes “How does the strongest and weakest currency pairs in the matrix compare to the past strongest and weakest currency pairs within the period?” This is the question that the “All time HIGH”, “Average HIGH”, “All time LOW”, and “Average LOW” numbers answer. These pieces of information are found beside the top-most and bottom-most currency pair in the matrix. The following numbers are found at the right side of the top-most currency pair in the matrix: All time HIGH – displays the highest score achieved by a currency pair within the period Average HIGH – displays the average highest score achieved by a currency pairs within the period The following numbers are found at the right side of the bottom-most currency pair in the matrix: All time LOW – displays the lowest score achieved by a currency pair within the period Average LOW – displays the average lowest score achieved by a currency pair within the period Currency Dashboard The Quantum Currency Matrix is a unique indicator. In an instant, you can see which pairs are rising strongly or falling strongly in every timeframe, and on a single chart. Whilst the Quantum Currency Strength Indicator gives you the heads up on individual currency strength and weakness, the Quantum Currency Matrix then delivers the global view for that currency in all the related pairs and for each timeframe – instantly, and giving you the tools to trade every pair with complete confidence. By itself, the Quantum Currency Matrix indicator is a powerful trading tool for identifying trading opportunities quickly and easily. However, it was developed as part of what we like to call the Quantum Currency Dashboard which consists of the following indicators: - Quantum Currency Strength Indicator (CSI) - Quantum Currency Matrix - Quantum Currency Array - Quantum Currency Heatmap These four indicators then provide a unique and compact insight into all the various aspects of strength and weakness for both currencies and currency pairs, from trend and momentum to overbought and oversold. What is unique is that using four charts, you are then able to monitor the myriad combinations of strength, weakness, momentum, congestion and divergence across the entire forex complex at a click of a button. And even more powerfully, giving you the confidence to get in and stay in for maximum profits. No more missed opportunities, no more struggling with multiple charts, and no more trader regret, whatever your trading style or approach.
Indicatore Pine Script®
di QuantumTradingSoftware
3
[blackcat] L1 Value Trend IndicatorOVERVIEW The L1 Value Trend Indicator is a sophisticated technical analysis tool designed for TradingView users seeking advanced market trend identification and trading signals. This comprehensive indicator combines multiple analytical techniques to provide traders with a holistic view of market dynamics, helping identify potential entry and exit points through various signal mechanisms. 📈 It features a main Value Trend line along with a lagged version, golden cross and dead cross signals, and multiple technical indicators including RSI, Williams %R, Stochastic %K/D, and Relative Strength calculations. The indicator also includes reference levels for support and resistance analysis, making it a versatile tool for both short-term and long-term trading strategies. ✅ FEATURES 📈 Primary Value Trend Line: Calculates a smoothed value trend using a combination of SMA and custom smoothing techniques 🔍 Value Trend Lag: Implements a lagged version of the main trend line for cross-over analysis 🚀 Golden Cross & Dead Cross Signals: Identifies buy/sell opportunities when the main trend line crosses its lagged version 💸 Multi-Indicator Integration: Combines multiple technical analysis tools for comprehensive market view 📊 RSI Calculations: Includes 6-period, 7-period, and 13-period RSI calculations for momentum analysis 📈 Williams %R: Provides overbought/oversold conditions using the Williams %R formula 📉 Stochastic Oscillator: Implements both Stochastic %K and %D calculations for momentum confirmation 📋 Relative Strength: Calculates relative strength based on highest highs and current price ✅ Visual Labels: Displays BUY and SELL labels on chart when crossover conditions are met 📣 Alert Conditions: Provides automated alert conditions for golden cross and dead cross events 📌 Reference Levels: Plots entry (25) and exit (75) reference lines for support/resistance analysis HOW TO USE Copy the Script: Copy the complete Pine Script code from the original file Open TradingView: Navigate to TradingView website or application Access Pine Editor: Go to the Pine Script editor (usually found in the chart toolbar) Paste Code: Paste the copied script into the editor Save Script: Save the script with a descriptive name like " L1 Value Trend Indicator" Select Chart: Choose the chart where you want to apply the indicator Add Indicator: Apply the indicator to your chart Configure Parameters: Adjust input parameters to customize behavior Monitor Signals: Watch for golden cross (BUY) and dead cross (SELL) signals Use Reference Levels: Monitor entry (25) and exit (75) lines for support/resistance levels LIMITATIONS ⚠️ Potential Repainting: The script may repaint due to lookahead bias in some calculations 📉 Lookahead Bias: Some calculations may reference future values, potentially causing repainting issues 🔄 Parameter Sensitivity: Results may vary significantly with different parameter settings 📉 Computational Complexity: May impact chart performance with heavy calculations on large datasets 📊 Resource Usage: Requires significant processing power for multiple indicator calculations 🔄 Data Sensitivity: Results may be affected by data quality and market conditions NOTES 📈 Signal Timing: Cross-over signals may lag behind actual price movements 📉 Parameter Optimization: Optimal parameters may vary by market conditions and asset type 📋 Market Conditions: Performance may vary significantly across different market environments 📈 Multi-Indicator: Combine signals with other technical indicators for confirmation 📉 Timeframe Analysis: Use multiple timeframes for enhanced signal accuracy 📋 Volume Analysis: Incorporate volume data for additional confirmation 📈 Strategy Integration: Consider using this indicator as part of a broader trading strategy 📉 Risk Management: Use signals as part of a comprehensive risk management approach 📋 Backtesting: Test parameter combinations with historical data before live trading THANKS 🙏 Original Creator: blackcat1402 creates the L1 Value Trend Indicator 📚 Community Contributions: Recognition to TradingView community for continuous improvements and contributions 📈 Collaborative Development: Appreciation for collaborative efforts in enhancing technical analysis tools 📉 TradingView Community: Special thanks to TradingView community members for their ongoing support and feedback 📋 Educational Resources: Recognition of educational resources that helped in understanding technical analysis principles
Indicatore Pine Script®
di blackcat1402
Session-Based Sentiment Oscillator [TradeDots]Track, analyze, and monitor market sentiment across global trading sessions with this advanced multi-session sentiment analysis tool. This script provides session-specific sentiment readings for Asian (Tokyo), European (London), and US (New York) markets, combining price action, volume analysis, and volatility factors into a comprehensive sentiment oscillator. It is an original indicator designed to help traders understand regional market psychology and capitalize on cross-session sentiment shifts directly on TradingView. 📝 HOW IT WORKS 1. Multi-Component Sentiment Engine Price Action Momentum : Calculates normalized price movement relative to recent trading ranges, providing directional sentiment readings. Volume-Weighted Analysis : When volume data is available, incorporates volume flow direction to validate price-based sentiment signals. Volatility-Adjusted Factors : Accounts for changing market volatility conditions by comparing current ATR against historical averages. Weighted Combination : Merges all components using optimized weightings (Price: 1.0, Volume: 0.3, Volatility: 0.2) for balanced sentiment readings. 2. Session-Segregated Tracking Automatic Session Detection : Precisely identifies active trading sessions based on user-configured time parameters. Independent Calculations : Maintains separate sentiment accumulation for each major session, updated only during respective active hours. Historical Preservation : Stores session-specific sentiment values even when sessions are closed, enabling cross-session comparison. Real-Time Updates : Continuously processes sentiment during active sessions while preserving inactive session data. 3. Cross-Session Transition Analysis Sentiment Differential Detection : Monitors sentiment changes when transitioning between trading sessions. Configurable Thresholds : Generates signals only when sentiment shifts exceed user-defined minimum thresholds. Directional Signals : Provides distinct bullish and bearish transition alerts with visual markers. Smart Filtering : Applies smoothing algorithms to reduce false signals from minor sentiment variations. ⚙️ KEY FEATURES 1. Session-Specific Dashboard Real-Time Status Display : Shows current session activity (ACTIVE/CLOSED) for all three major sessions. Sentiment Percentages : Displays precise sentiment readings as percentages for easy interpretation. Strength Classification : Automatically categorizes sentiment as HIGH (>50%), MEDIUM (20-50%), or LOW (<20%). Customizable Positioning : Place dashboard in any corner with adjustable size options. 2. Advanced Signal Generation Transition Alerts : Triangle markers indicate significant sentiment shifts between sessions. Extreme Conditions : Diamond markers highlight overbought/oversold threshold breaches. Configurable Sensitivity : Adjust signal thresholds from 0.05 to 0.50 based on trading style. Alert Integration : Built-in TradingView alert conditions for automated notifications. 3. Forex Currency Strength Analysis Base/Quote Decomposition : For forex pairs, separates sentiment into individual currency strength components. Major Currency Support : Analyzes USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD strength relationships. Relative Strength Display : Shows which currency is driving pair movement during active sessions. 4. Visual Enhancement System Session Background Colors : Distinct background shading for each active trading session. Overbought/Oversold Zones : Configurable extreme sentiment level visualization with colored zones. Multi-Timeframe Compatibility : Works across all timeframes while maintaining session accuracy. Customizable Color Schemes : Full color customization for dashboard, signals, and plot elements. 🚀 HOW TO USE IT 1. Add the Script Search for "Session-Based Sentiment Oscillator " in the Indicators tab or manually add it to your chart. The indicator will appear in a separate pane below your main chart. 2. Configure Session Times Asian Session : Set Tokyo market hours (default: 00:00-09:00) based on your chart timezone. European Session : Configure London market hours (default: 07:00-16:00) for European analysis. US Session : Define New York market hours (default: 13:00-22:00) for American markets. Timezone Adjustment : Ensure session times match your broker's specifications and account for daylight saving changes. 3. Optimize Analysis Parameters Sentiment Period : Choose 5-50 bars (default: 14) for sentiment calculation lookback period. Smoothing Settings : Select 1-10 bars smoothing (default: 3) with SMA, EMA, or RMA options. Component Selection : Enable/disable volume analysis, price action, and volatility factors based on available data. Signal Sensitivity : Adjust threshold from 0.05-0.50 (default: 0.15) for transition signal generation. 4. Interpret Readings and Signals Positive Values : Indicate bullish sentiment for the active session. Negative Values : Suggest bearish sentiment conditions. Dashboard Status : Monitor which session is currently active and their respective sentiment strengths. Transition Signals : Watch for triangle markers indicating significant cross-session sentiment changes. Extreme Alerts : Note diamond markers when sentiment reaches overbought (>70%) or oversold (<-70%) levels. 5. Set Up Alerts Configure TradingView alerts for: - Bullish session transitions - Bearish session transitions - Overbought condition alerts - Oversold condition alerts ❗️LIMITATIONS 1. Data Dependency Volume Requirements : Volume-based analysis only functions when volume data is provided by your broker. Many forex brokers do not supply reliable volume data. Price Action Focus : In absence of volume data, sentiment calculations rely primarily on price movement and volatility factors. 2. Session Time Sensitivity Manual Adjustment Required : Session times must be manually updated for daylight saving time changes. Broker Variations : Different brokers may have slightly different session definitions requiring time parameter adjustments. 3. Ranging Market Limitations Trend Bias : Sentiment calculations may be less reliable during extended sideways or low-volatility market conditions. Lag Consideration : As with all sentiment indicators, readings may lag during rapid market transitions. 4. Regional Market Focus Major Session Coverage : Designed primarily for major global sessions; may not capture sentiment from smaller regional markets. Weekend Gaps : Does not account for weekend gap effects on sentiment calculations. ⚠️ RISK DISCLAIMER Trading and investing carry significant risk and can result in financial loss. The "Session-Based Sentiment Oscillator " is provided for informational and educational purposes only. It does not constitute financial advice. - Always conduct your own research and analysis - Use proper risk management and position sizing in all trades - Past sentiment patterns do not guarantee future market behavior - Combine this indicator with other technical and fundamental analysis tools - Consider overall market context and your personal risk tolerance This script is an original creation by TradeDots, published under the Mozilla Public License 2.0. Session-based sentiment analysis should be used as part of a comprehensive trading strategy. No single indicator can predict market movements with certainty. Exercise proper risk management and maintain realistic expectations about indicator performance across varying market conditions.
Indicatore Pine Script®
di tradedots
SuperSmoothed Volume Zone Oscillator------------------------------------------------------------------------------------ SUPERSMOOTHED VOLUME ZONE OSCILLATOR (SSVZO) TECHNICAL INDICATOR DOCUMENTATION ------------------------------------------------------------------------------------ Table of Contents: 1. Original VZO Background 2. SuperSmoother Technology 3. SSVZO Components 3.1. Main SSVZO Oscillator 3.2. Momentum Velocity Component 3.3. Adaptive Levels 3.4. Static Levels 3.5. Trend Shift Detection 3.6. Glow Effect Visualization 4. References & Further Reading ------------------------------------------------------------------------------------ 1. ORIGINAL VOLUME ZONE OSCILLATOR (VZO) BACKGROUND ------------------------------------------------------------------------------------ Creator: Walid Khalil (November 2009, Technical Analysis of Stocks & Commodities) History: Khalil designed the VZO to address limitations in other volume indicators by focusing on the relative balance between buying and selling volume while filtering out market noise. The indicator identifies accumulation and distribution patterns. Traditional Usage: The classic VZO uses a 14-period calculation setting and is interpreted on a scale from -60% to +60%: - Readings above +40% indicate strong buying pressure (potential overbought) - Readings below -40% indicate strong selling pressure (potential oversold) - The zero line acts as a key reference for trend changes - Divergences between VZO and price offer valuable trading signals Difference from Other Volume Indicators: Unlike simple volume indicators that only track total volume, the VZO tracks the relative difference between up-volume and down-volume, more effectively identifying buying/selling pressure imbalances and potential reversal points. ------------------------------------------------------------------------------------ 2. SUPERSMOOTHER FILTER TECHNOLOGY ------------------------------------------------------------------------------------ Creator: John F. Ehlers, an engineer specializing in digital signal processing for trading systems. Origins: Introduced in "Rocket Science for Traders" (2001) and refined in "Cybernetic Analysis for Stocks and Futures" (2004). Represents the application of digital signal processing techniques to financial markets. Technical Foundation: The SuperSmoother is a two-pole low-pass filter specifically designed to eliminate noise while preserving the underlying signal. It combines principles of Butterworth and Gaussian filters to minimize both phase shift and passband ripple. Mathematical Implementation: a1 = exp(-π * sqrt(2) / period) b1 = 2 * a1 * cos(sqrt(2) * π / period) c2 = b1 c3 = -a1² c1 = 1 - c2 - c3 Advantages Over Traditional Filters: - Reduces lag compared to simple moving averages - Eliminates high-frequency market noise more effectively - Minimizes unwanted ripples in the output signal - Preserves important turning points in the data - Superior handling of sudden market movements According to Ehlers: "Conventional moving averages are plagued by excessive lag and/or rippling in their passband. The SuperSmoother eliminates virtually all of this ripple and has excellent transient response characteristics." (TASC Magazine, 2014) ------------------------------------------------------------------------------------ 3. SSVZO COMPONENTS ------------------------------------------------------------------------------------ 3.1. MAIN SSVZO OSCILLATOR ------------------------------------------------------------------------------------ Description: The core component measuring buying vs. selling volume pressure using the SuperSmoother filter for enhanced noise reduction. Calculation: SSVZO analyzes the relationship between up-volume (volume on rising prices) and down-volume (volume on falling prices), applying exponential moving averages to both components, then calculating their relative strength. The SuperSmoother filter reduces market noise while preserving the underlying trend signal. Implementation Advantage: By applying the SuperSmoother filter to the VZO calculation, the SSVZO provides significantly cleaner signals with fewer false crossovers and more accurate identification of true trend changes. Interpretation: - Values above zero indicate bullish volume dominance - Values below zero indicate bearish volume dominance - Readings above +60 suggest overbought conditions - Readings below -60 suggest oversold conditions - Crossovers of the zero line signal potential trend changes Trading Application: Use SSVZO as a primary volume-based momentum indicator to confirm price trends, identify divergences, and spot potential reversal zones. ------------------------------------------------------------------------------------ 3.2. MOMENTUM VELOCITY COMPONENT ------------------------------------------------------------------------------------ Description: A histogram displaying the rate of change of momentum, showing how quickly buying or selling pressure is accelerating or decelerating. Calculation: Derived from price momentum over a user-defined period, with optional adaptive filtering that adjusts sensitivity based on market volatility. The velocity component shows the first derivative of momentum – essentially the "acceleration" of market movement. Technical Origin: Inspired by Ehlers' work on Hilbert Transforms and research on cyclic components in financial markets, as detailed in "Cycle Analytics for Traders" (2013). Interpretation: - Positive readings (teal bars) indicate accelerating upward momentum - Negative readings (orange bars) suggest accelerating downward momentum - Larger bars indicate stronger momentum acceleration - Shrinking bars signal momentum deceleration Trading Application: Use as an early warning system for potential trend exhaustion or confirmation of a new trending move. When momentum velocity diverges from price, it often precedes a reversal. ------------------------------------------------------------------------------------ 3.3. ADAPTIVE LEVELS ------------------------------------------------------------------------------------ Description: Dynamic overbought and oversold boundaries that adjust to market conditions, providing context-aware trading signals. Calculation: Uses statistical methods based on the standard deviation of the SSVZO values over a longer period. These levels automatically widen during higher volatility periods and narrow during consolidation. Research Base: Draws from Perry Kaufman's work on Adaptive Moving Averages (AMA) and Bollinger's research on dynamic volatility bands, as published in "Trading Systems and Methods" (2013). Interpretation: - Adaptive Overbought (dotted circles above): Dynamic ceiling that expands/contracts based on market volatility - Adaptive Oversold (dotted circles below): Dynamic floor that expands/contracts based on market volatility Trading Application: More reliable for identifying extremes than static levels, particularly in changing market conditions or different instruments. Touching these levels often provides higher-probability reversal signals. ------------------------------------------------------------------------------------ 3.4. STATIC LEVELS ------------------------------------------------------------------------------------ Description: Fixed overbought and oversold horizontal lines that provide consistent reference points for excess market conditions. Calculation: Preset at +60 (overbought) and -60 (oversold) based on historical analysis of volume behavior across multiple markets, extending the classic VZO range. Interpretation: - Readings above +60 suggest potential buying exhaustion - Readings below -60 indicate potential selling exhaustion - Duration spent beyond these levels correlates with reversal probability Trading Application: Use as baseline reference points for extreme conditions. Most effective when combined with other confirmation signals like divergences or candlestick patterns. ------------------------------------------------------------------------------------ 3.5. TREND SHIFT DETECTION ------------------------------------------------------------------------------------ Description: Visual markers and optional background shading highlighting potential trend changes when the SSVZO crosses the zero line. Calculation: Based on mathematical crossovers of the SSVZO value above or below the zero line, with pattern recognition to reduce false signals. Research Foundation: Incorporates concepts from Dr. Alexander Elder's "triple screen trading system" and Mark Chaikin's volume-based trend identification research. Interpretation: - Upward triangles indicate bullish trend shifts (SSVZO crossing above zero) - Downward triangles indicate bearish trend shifts (SSVZO crossing below zero) - Background shading emphasizes the new trend direction Trading Application: These signals often precede price trend changes and can serve as entry triggers when aligned with the higher timeframe trend. ------------------------------------------------------------------------------------ 3.6. GLOW EFFECT VISUALIZATION ------------------------------------------------------------------------------------ Description: An aesthetic enhancement creating a gradient "glow" around the main SSVZO line, improving visual clarity and emphasizing signal strength. Calculation: Generated using percentage-based bands around the main SSVZO value, with multiple translucent layers to create a subtle illumination effect. Design Inspiration: Inspired by modern UI/UX design principles for financial dashboards and the MATS (Moving Average Trend Sniper) indicator's visual presentation, enhancing perception of signal strength through visual intensity. Interpretation: - Teal glow indicates positive SSVZO values (bullish) - Orange glow indicates negative SSVZO values (bearish) - Glow intensity correlates with the strength of the signal Trading Application: Beyond aesthetics, the glow creates visual emphasis that makes trend direction, strength, and changes more immediately apparent, particularly useful during fast-moving market conditions. ------------------------------------------------------------------------------------ 4. REFERENCES & FURTHER READING ------------------------------------------------------------------------------------ 1. Ehlers, J. F. (2001). "Rocket Science for Traders: Digital Signal Processing Applications." John Wiley & Sons. 2. Ehlers, J. F. (2004). "Cybernetic Analysis for Stocks and Futures: Cutting-Edge DSP Technology to Improve Your Trading." John Wiley & Sons. 3. Ehlers, J. F. (2013). "Cycle Analytics for Traders: Advanced Technical Trading Concepts." John Wiley & Sons. 4. Khalil, W. (2009). "The Volume Zone Oscillator." Technical Analysis of Stocks & Commodities, November 2009. 5. Kaufman, P. J. (2013). "Trading Systems and Methods." 5th Edition, Wiley Trading. 6. Elder, A. (2002). "Come Into My Trading Room: A Complete Guide to Trading." John Wiley & Sons. 7. Bollinger, J. (2002). "Bollinger on Bollinger Bands." McGraw-Hill Education. ------------------------------------------------------------------------------------ END OF DOCUMENTATION ------------------------------------------------------------------------------------
Indicatore Pine Script®
di meddymarkusvanhala
4
Smart Trend Lines [The_lurker] Smart Trend Lines A multi-level trend classifier that detects bullish and bearish conditions using a methodology based on drawing trend lines—main, intermediate, and short-term—by identifying peaks and troughs. The tool highlights trend strength by applying filters such as the Average Directional Index (ADX) (A), Relative Strength Index (RSI) (R), and Volume (V), making it easier to interpret trend strength. The filter markers (V, A, R) in the Smart Trend Lines indicator are powerful tools for assessing the reliability of breakouts. Breakouts containing are the most reliable, as they indicate strong volume support, trend strength, and favorable momentum. Breakouts with partial filters (such as or ) require additional confirmation, while breakouts without filters ( ) should be avoided unless supported by other strong signals. By understanding the meaning of each filter and the market context. Core Functionality 1. Trend Line Types The indicator generates three distinct trend line categories, each serving a specific analytical purpose: Main Trend Lines: These are long-term trend lines designed to capture significant market trends. They are calculated based on pivot points over a user-defined period (default: 50 bars). Main trend lines are ideal for identifying macro-level support and resistance zones. Mid Trend Lines: These are medium-term trend lines (default: 21 bars) that focus on intermediate price movements. They provide a balance between short-term fluctuations and long-term trends, suitable for swing trading strategies. Short Trend Lines: These are short-term trend lines (default: 9 bars) that track rapid price changes. They are particularly useful for scalping or day trading, highlighting immediate support and resistance levels. Each trend line type can be independently enabled or disabled, allowing traders to tailor the indicator to their preferred timeframes. 2. Breakout Detection The indicator employs a robust breakout detection system that identifies when the price crosses a trend line, signaling a potential trend reversal or continuation. Breakouts are validated using the following filters: ADX Filter: The Average Directional Index (ADX) measures trend strength. A user-defined threshold (default: 20) ensures that breakouts occur during strong trends, reducing false signals in range-bound markets. RSI Filter: The Relative Strength Index (RSI) identifies overbought or oversold conditions. Breakouts are filtered based on RSI thresholds (default: 65 for overbought, 35 for oversold) to avoid signals in extreme market conditions. Volume Filter: Breakouts are confirmed only when trading volume exceeds a moving average (default: 20 bars) and aligns with the breakout direction (e.g., higher volume on bullish breakouts when the candle closes higher). Breakout events are marked with labels on the chart, indicating the type of trend line broken (Main, Mid, or Short) and the filters satisfied (Volume, ADX, RSI). Alerts are triggered for each breakout, providing real-time notifications. 3. Customization Options The indicator offers extensive customization through input settings, organized into logical groups for ease of use: Main Trend Line Settings Length: Defines the number of bars used to calculate pivot points (default: 50). Bullish Color: Color for upward-sloping (bullish) main trend lines (default: green). Bearish Color: Color for downward-sloping (bearish) main trend lines (default: red). Style: Line style options include solid, dashed, or dotted (default: solid). Mid Trend Line Settings Length: Number of bars for mid-term pivot points (default: 21). Show/Hide: Toggle visibility of mid trend lines (default: enabled). Bullish Color: Color for bullish mid trend lines (default: lime). Bearish Color: Color for bearish mid trend lines (default: maroon). Style: Line style (default: dashed). Short Trend Line Settings Length: Number of bars for short-term pivot points (default: 9). Show/Hide: Toggle visibility of short trend lines (default: enabled). Bullish Color: Color for bullish short trend lines (default: teal). Bearish Color: Color for bearish short trend lines (default: purple). Style: Line style (default: dotted). General Display Settings Break Check Price: Selects the price type for breakout detection (Close, High, or Low; default: Close). Show Previous Trendlines: Option to display historical main trend lines (default: disabled). Label Size: Size of breakout labels (Tiny, Small, Normal, Large, Huge; default: Small). Filter Settings ADX Threshold: Minimum ADX value for trend strength confirmation (default: 25). Volume MA Period: Period for the volume moving average (default: 20). RSI Filter: Enable/disable RSI filtering (default: enabled). RSI Upper Threshold: Upper RSI limit for overbought conditions (default: 65). RSI Lower Threshold: Lower RSI limit for oversold conditions (default: 35). 4. Technical Calculations The indicator relies on several technical calculations to ensure accuracy: Pivot Points: Pivot highs and lows are detected using the ta.pivothigh and ta.pivotlow functions, with separate lengths for Main, Mid, and Short trend lines. Slope Calculation: The slope of each trend line is calculated as the change in price divided by the change in bar index between two pivot points. ADX Calculation: ADX is computed using a 14-period Directional Movement Index (DMI), with smoothing over 14 bars. RSI Calculation: RSI is calculated over a 14-period lookback using the ta.rsi function. Volume Moving Average: A simple moving average (SMA) of volume is used to determine if current volume exceeds the average. 5. Strict Mode Validation To ensure the reliability of trend lines, the indicator employs a strict mode check: For bearish trend lines, all prices between pivot points must remain below the projected trend line. For bullish trend lines, all prices must remain above the projected trend line. Post-pivot break checks ensure that no breakouts occur between pivot points, enhancing the validity of the trend line. 6. Trend Line Extension Trend lines are dynamically extended forward until a breakout occurs. The extension logic: Projects the trend line using the calculated slope. Continuously validates the extension using strict mode checks. Stops extension upon a breakout, fixing the trend line at the breakout point. 7. Alerts and Labels Labels: Breakout labels are placed above (for bearish breakouts) or below (for bullish breakouts) the price bar. Labels include: A prefix indicating the trend line type (B for Main, M for Mid, S for Short). A suffix showing satisfied filters (e.g., for Volume, ADX, and RSI). Alerts: Each breakout triggers a one-time alert per bar close, with a descriptive message indicating the trend line type and filters met. Detailed Code Breakdown 1. Initialization and Inputs The script begins by defining the indicator with indicator('Smart Trend Lines ', overlay = true), ensuring it overlays on the price chart. Input settings are grouped into categories (Main, Mid, Short, General Display, Filters) for user convenience. Each input includes a tooltip in both English and Arabic, enhancing accessibility. 2. Technical Indicator Calculations Volume MA: Calculated using ta.sma(volume, volPeriod) to compare current volume against the average. ADX: Computed using custom dirmov and adx functions, which calculate the Directional Movement Index and smooth it over 14 periods. RSI: Calculated with ta.rsi(close, rsiPeriod) over 14 periods. Price Selection: The priceToCheck function selects the price type (Close, High, or Low) for breakout detection. 3. Pivot Detection Pivot points are detected using ta.pivothigh and ta.pivotlow for each trend line type. The lookback period is set to the respective trend line length (e.g., 50 for Main, 21 for Mid, 9 for Short). 4. Trend Line Logic For each trend line type (Main, Mid, Short): Bearish Trend Lines: Identified when two consecutive pivot highs form a downward slope. The script validates the trend line using strict mode and post-pivot break checks. Bullish Trend Lines: Identified when two consecutive pivot lows form an upward slope, with similar validation. Trend lines are drawn using line.new, with separate lines for the initial segment (between pivots) and the extended segment (from the second pivot forward). 5. Breakout Detection and Labeling Breakouts are detected when the selected price crosses the trend line level. The script checks: Volume conditions (above average and aligned with candle direction). ADX condition (above threshold). RSI condition (within thresholds if enabled). Labels are created with label.new, and alerts are triggered with alert. 6. Trend Line Extension The extendTrendline function dynamically updates the trend line’s endpoint unless a breakout occurs. It uses strict mode checks to ensure the trend line remains valid. 7. Previous Trend Lines If enabled, previous main trend lines are stored in arrays (previousBearishStartLines, previousBullishTrendLines, etc.) and displayed on the chart, providing historical context. Disclaimer: The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
Indicatore Pine Script®
di The_lurker
12