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Market Analysis Assistant This indicator uniquely maps and interprets key market conditions using Moving Averages, MACD, RSI, and Bollinger Bands. Unlike traditional indicators that only display visual signals, this tool provides written analysis directly on your chart as soon as specific conditions are met. This feature makes it easier to understand the market’s current state and anticipate potential moves. Why Moving Averages? Moving Averages are essential for identifying the overall trend of the market. By analyzing the 200, 20, and 9-period Moving Averages, this indicator helps traders quickly determine whether the market is in an uptrend, downtrend, or sideways phase. The integration of multiple averages offers a comprehensive view, allowing for more accurate trend identification. Why MACD? The MACD is a powerful tool for spotting trend reversals and momentum shifts. By monitoring MACD crossovers, divergences, and the position of the MACD line relative to the zero line, this indicator helps you identify potential changes in the trend direction before they fully develop, giving you a critical edge. Why RSI? RSI is crucial for understanding the market's overbought and oversold conditions. By tracking RSI levels and its crossover with its moving average, this indicator provides early warnings for potential trend reversals or continuations, helping you time your entries and exits more effectively. Why Bollinger Bands? Bollinger Bands are used to measure market volatility and identify breakout opportunities. By analyzing the price’s relationship with the upper and lower bands, this indicator helps traders spot potential overbought or oversold conditions, as well as possible breakout scenarios, offering a clear view of market dynamics. Trend Identification (getTrend()): Detects whether the market is in an uptrend, downtrend, or sideways phase by analyzing the position of the price relative to the 200, 20, and 9-period moving averages. MACD Analysis (analyzeMACD()): Identifies potential trend reversals or continuations through MACD divergence, crossovers, and the MACD signal line's position relative to the zero line. RSI Monitoring (analyzeRSI()): Detects overbought and oversold conditions and anticipates trend continuation or corrections based on RSI crossings with its moving average. Trap Zone Detection (analyzeTrapZone()): Highlights areas of potential price consolidation between the 20 and 200-period moving averages, indicating possible breakouts. Bollinger Bands Analysis (analyzeBollingerBands()): Analyzes the price’s relationship with Bollinger Bands to identify overbought/oversold conditions, breakouts, and potential trend continuations or correction. Fibonacci retracement will also check the moment the price tests a monthly or daily weekly Fibonacci retracement What Makes This Indicator Unique? This indicator stands out by transforming complex technical analysis into clear, written insights directly on your chart. As soon as specific conditions are met—such as a MACD crossover or an RSI overbought/oversold level—this tool immediately displays a written summary of the event, helping traders to quickly understand and act on market developments. How to Use My Indicator: The indicator is designed to provide detailed, real-time market condition analysis using Moving Averages, MACD, RSI, and Bollinger Bands. When certain market conditions are met, such as the price testing a specific moving average or the MACD indicating a potential reversal, the indicator displays this information in written form directly on the chart, in both English and Portuguese. How to Interpret the Displayed Information: The information displayed by the indicator can be used for: Identifying Support and Resistance: The indicator can help identify when the price is testing an important support or resistance level, such as a moving average or a Fibonacci level, allowing the user to decide whether to enter or exit a position. Trend Detection: If the indicator shows that the price is above the 200, 20, and 9-period moving averages, this may be a sign of an uptrend, indicating that the user should consider maintaining or opening buy positions. Correction Signals: When the MACD indicates a potential correction, the user may decide to protect their profits by adjusting stops or even exiting the position to avoid losses. Identifying Overbought/Oversold Conditions: Based on the RSI, the indicator can alert to overbought or oversold conditions, helping the user avoid entering a trade at an unfavorable time. Example of Use: the indicator shows several important pieces of information, such as: "US100 Price is at the 50.0% Fibonacci level (Last Monthly)." This suggests that the price is testing a significant Fibonacci level, which could be a point of reversal or continuation. A trader can use this information to adjust their entry or exit strategy. "DXY RSI below 30: Indication of oversold condition" This indicates that the DXY is in an oversold condition, which might suggest an upcoming bullish reversal. A trader could consider this when trading DXY-related assets. "Bullish Trend: Price is above the 200, 20, and 9-period moving averages." This confirms an uptrend, giving the user more confidence to hold long positions. Availability: This indicator is available in two languages: English and Portuguese. It is ideal for traders who prefer analysis in English as well as those who prefer it in Portuguese, making it a versatile and accessible tool for traders from different backgrounds Este indicador mapeia e interpreta de forma única as principais condições de mercado utilizando Médias Móveis, MACD, RSI e Bandas de Bollinger. Ao contrário dos indicadores tradicionais que apenas exibem sinais visuais, esta ferramenta oferece uma análise escrita diretamente no seu gráfico assim que determinadas condições são atendidas. Isso facilita o entendimento do estado atual do mercado e a antecipação de possíveis movimentos. Por que Médias Móveis? As Médias Móveis são essenciais para identificar a tendência geral do mercado. Ao analisar as Médias Móveis de 200, 20 e 9 períodos, este indicador ajuda os traders a determinarem rapidamente se o mercado está em tendência de alta, baixa ou em fase lateral. A integração de múltiplas médias oferece uma visão abrangente, permitindo uma identificação mais precisa das tendências. Por que MACD? O MACD é uma ferramenta poderosa para identificar reversões de tendência e mudanças de momentum. Monitorando os cruzamentos do MACD, divergências e a posição da linha MACD em relação à linha zero, este indicador ajuda você a identificar possíveis mudanças na direção da tendência antes que elas se desenvolvam completamente, dando-lhe uma vantagem crítica. Por que RSI? O RSI é crucial para entender as condições de sobrecompra e sobrevenda do mercado. Acompanhando os níveis do RSI e seu cruzamento com sua média móvel, este indicador fornece avisos antecipados para possíveis reversões ou continuações de tendência, ajudando você a cronometrar suas entradas e saídas de forma mais eficaz. Por que Bandas de Bollinger? As Bandas de Bollinger são usadas para medir a volatilidade do mercado e identificar oportunidades de rompimento. Ao analisar a relação do preço com as bandas superior e inferior, este indicador ajuda os traders a identificar condições de sobrecompra ou sobrevenda, bem como possíveis cenários de rompimento, oferecendo uma visão clara da dinâmica do mercado. Identificação de Tendências (getTrend()): Detecta se o mercado está em tendência de alta, baixa ou em fase lateral, analisando a posição do preço em relação às médias móveis de 200, 20 e 9 períodos. Análise de MACD (analyzeMACD()): Identifica possíveis reversões ou continuações de tendência através de divergências do MACD, cruzamentos, e a posição da linha de sinal do MACD em relação à linha zero. Monitoramento do RSI (analyzeRSI()): Detecta condições de sobrecompra e sobrevenda e antecipa a continuação da tendência ou correções com base nos cruzamentos do RSI com sua média móvel. Detecção de Zona de Armadilha (analyzeTrapZone()): Destaca áreas de possível consolidação de preços entre as médias móveis de 20 e 200 períodos, indicando possíveis rompimentos. Análise das Bandas de Bollinger (analyzeBollingerBands()): Analisa a relação do preço com as Bandas de Bollinger para identificar condições de sobrecompra/sobrevenda, rompimentos e possíveis continuações de tendência ou correção. A retração de Fibonacci também verificará o momento em que o preço testa uma retração de Fibonacci semanal mensal ou diária O que Torna Este Indicador Único? Este indicador se destaca por transformar análises técnicas complexas em insights escritos claros diretamente no seu gráfico. Assim que condições específicas são atendidas—como um cruzamento do MACD ou um nível de sobrecompra/sobrevenda do RSI—esta ferramenta exibe imediatamente um resumo escrito do evento, ajudando os traders a entenderem e agirem rapidamente sobre as mudanças do mercado. Como Utilizar o Meu Indicador: O indicador foi desenvolvido para oferecer uma análise detalhada e em tempo real das condições de mercado, utilizando os conceitos de Médias Móveis, MACD, RSI e Bandas de Bollinger. Quando certas condições de mercado são atingidas, como o preço testando uma média móvel específica ou o MACD indicando uma possível reversão, o indicador exibe essas informações de forma escrita diretamente no gráfico, em inglês e português. Como Interpretar as Informações Exibidas: As informações exibidas pelo indicador podem ser usadas para: Identificação de Suportes e Resistências: O indicador pode ajudar a identificar quando o preço está testando um nível de suporte ou resistência importante, como uma média móvel ou um nível de Fibonacci, permitindo ao usuário decidir se deve entrar ou sair de uma posição. Detecção de Tendências: Se o indicador mostra que o preço está acima das médias móveis de 200, 20 e 9 períodos, isso pode ser um sinal de uma tendência de alta, indicando que o usuário deve considerar manter ou abrir posições de compra. Sinais de Correção: Quando o MACD indica uma possível correção, o usuário pode decidir proteger seus lucros ajustando os stops ou até mesmo saindo da posição para evitar perdas. Identificação de Condições de Sobrecompra/Sobrevenda: Com base no RSI, o indicador pode alertar sobre condições de sobrecompra ou sobrevenda, ajudando o usuário a evitar entrar em uma operação em um momento desfavorável. Exemplo de Utilização: o indicador mostra várias informações importantes, como: "O preço do US100 está no nível de Fibonacci de 50,0% (mês passado)." Isso sugere que o preço está testando um nível significativo de Fibonacci, o que pode ser um ponto de reversão ou continuação. Um trader pode usar essa informação para ajustar sua estratégia de entrada ou saída. DXY RSI abaixo de 30: Indicação de condição de sobrevenda" Isso indica que o DXY está em uma condição de sobrevenda, o que pode sugerir uma reversão de alta em breve. Um trader pode considerar isso ao fazer operações relacionadas ao DXY. "Tendência de alta: o preço está acima das médias móveis de 200, 20 e 9 períodos." Isso confirma uma tendência de alta, dando ao usuário mais confiança para manter posições longas. Disponibilidade: Este indicador está disponível em dois idiomas: inglês e português. Ele é ideal tanto para traders que preferem análises em inglês quanto para aqueles que preferem em português. Isso o torna uma ferramenta versátil e acessível para traders de diferentes origens.
Indicateur Pine Script®
par rafaelfutuoso
Normalized MACD with RSI & Stoch RSI + SignalsNormalized MACD with RSI & Stoch RSI Indicator Overview: This indicator combines three popular momentum indicators (MACD, RSI, and Stochastic RSI) into a single cohesive, normalized view, making it easier for traders to interpret market momentum and potential buy/sell signals. It specifically addresses an important issue—the different scale ranges of indicators—by normalizing MACD values to match the 0–100 scale of RSI and Stochastic RSI. Here’s a clear and concise description of your updated Pine Script indicator: ⸻ Normalized MACD with RSI & Stoch RSI Indicator Overview: This indicator combines three popular momentum indicators (MACD, RSI, and Stochastic RSI) into a single cohesive, normalized view, making it easier for traders to interpret market momentum and potential buy/sell signals. It specifically addresses an important issue—the different scale ranges of indicators—by normalizing MACD values to match the 0–100 scale of RSI and Stochastic RSI. ⸻ Key Components: ① MACD (Normalized): • The Moving Average Convergence Divergence (MACD) originally has an unlimited numerical range. • Normalization Method: • Uses a custom tanh(x) function implemented directly in Pine Script: \tanh(x) = \frac{e^{x}-e^{-x}}{e^{x}+e^{-x}} • MACD values are scaled using this method to a range of 0–100, with the neutral line at exactly 50. • Interpretation: • Values above 50 indicate bullish momentum. • Values below 50 indicate bearish momentum. ② RSI (Relative Strength Index): • Measures market momentum on a 0–100 scale. • Traditional RSI interpretation: • Overbought conditions: RSI > 70–80. • Oversold conditions: RSI < 30–20. ③ Stochastic RSI: • Combines RSI and Stochastic Oscillator to give short-term, highly sensitive signals. • Helps identify immediate market extremes: • Above 80 → Short-term overbought. • Below 20 → Short-term oversold. ⸻ How the Indicator Works: • Visualization: • All three indicators (Normalized MACD, RSI, Stochastic RSI) share the same 0–100 scale. • Clear visual lines and reference levels: • Midline at 50 indicates neutral momentum. • Dashed lines at 20 and 80 clearly mark oversold/overbought zones. • Trading Signals (Recommended approach): • Bullish Signal (Potential Buy): • Normalized MACD crosses above 50. • RSI below or approaching oversold zone (below 30–20). • Stochastic RSI below 20, indicating short-term oversold conditions. • Bearish Signal (Potential Sell): • Normalized MACD crosses below 50. • RSI above or approaching overbought zone (above 70–80). • Stochastic RSI above 80, indicating short-term overbought conditions. ⸻ Why Use This Indicator? • Harmonized Signals: Normalization of MACD significantly improves clarity and comparability with RSI and Stochastic RSI, providing a unified momentum picture. • Intuitive Analysis: Traders can rapidly and intuitively identify momentum shifts without needing multiple indicator windows. • Improved Decision-Making: Clear visual references and signals help reduce subjective interpretation, potentially improving trading outcomes. ⸻ Suggested Usage: • Combine with traditional support
Indicateur Pine Script®
par pentius00
[AS] MACD-v & Hist [Alex Spiroglou | S.M.A.R.T. TRADER SYSTEMS] MACD-v & MACD-v Histogram ======================================= Volatility Normalised Momentum 📈 Twice Awarded Indicator 🏆 ======================================= ======================================= ✅ 1. INTRODUCTION TO THE MACD-v ✅ ======================================= I created the MACD-v in 2015, as a way to deal with the limitations of well known indicators like the Stochastic, RSI, MACD. I decided to publicly share a very small part of my research in the form of a research paper I wrote in 2022, titled "MACD-v: Volatility Normalised Momentum". That paper was awarded twice: 1. The "Charles H. Dow" Award (2022), for outstanding research in Technical Analysis, by the Chartered Market Technicians Association (CMTA) 2. The "Founders" Award (2022), for advances in Active Investment Management, by the National Association of Active Investment Managers (NAAIM) ======================================= =================================================== ❌ 2. WHY CREATE THE MACD-v ? THE LIMITATIONS OF CONVENTIONAL MOMENTUM INDICATORS ==================================================== Technical Analysis indicators focused on momentum, come in two general categories, each with its own set of limitations: (i) Range Bound Oscillators (RSI, Stochastics, etc) These usually have a scaling of 0-100, and thus have the advantage of having normalised readings, that are comparable across time and securities. However they have the following limitations (among others): 1. Skewing effect of steep trends 2. Indicator values do not adjust with and reflect true momentum (indicator values are capped to 100) (ii) Unbound Oscillators (MACD, RoC, etc) These are boundless indicators, and can expand with the market, without being limited by a 0-100 scaling, and thus have the advantage of really measuring momentum. They have the main following limitations (among others): 1. Subjectivity of overbought / oversold levels 2. Not comparable across time 3. Not comparable across securities ======================================= ======================================= 💡 3. THE SOLUTION TO SOLVE THESE LIMITATIONS ======================================= In order to deal with these limitations, I decided to create an indicator, that would be the "Best of two worlds". A unique & hybrid indicator, that would have objective normalised readings (similar to Range Bound Oscillators - RSI) but would also be able to have no upper/lower boundaries (similar to Unbound Oscillators - MACD). This would be achieved by "normalising" a boundless oscillator (MACD) ======================================= ================================================== ⛔ 4. DEEP DIVE INTO THE 5 LIMITATIONS OF THE MACD ================================================== A Bloomberg study found that the MACD is the most popular indicator after the RSI, but the MACD has 5 BIG limitations. Limitation 1: MACD values are not comparable across Time The raw MACD values shift as the underlying security's absolute value changes across time, making historical comparisons obsolete e.g S&P 500 maximum MACD was 1.56 in 1957-1971, but reached 86.31 in 2019-2021 - not indicating 55x stronger momentum, but simply different price levels. Limitation 2: MACD values are not comparable across Assets Traditional MACD cannot compare momentum between different assets. S&P 500 MACD of 65 versus EUR/USD MACD of -0.5 reflects absolute price differences, not momentum differences Limitation 3: MACD values cannot be Systematically Classified Due to limitations #1 & #2, it is not possible to create a momentum level classification scale where one can define "fast", "slow", "overbought", "oversold" momentum making systematic analysis impossible Limitation 4: MACD Signal Line gives false crossovers in low-momentum ranges In range-bound, low momentum environments, most of the MACD signal line crossovers are false (noise) Since there is no objective momentum classification system (limitation #3), it is not possible to filter these signals out, by avoiding them when momentum is low Limitation 5: MACD Signal Line gives late crossovers in high momentum regimes. Signal lag in strong trends not good at timing the turning point — In high-momentum moves, MACD crossovers may come late. Since there is no objective momentum classification system (limitation #3), it is not possible to filter these signals out, by avoiding them when momentum is high =================================================================== =================================================================== 🏆 5. MACD-v : THE SOLUTION TO THE LIMITATIONS OF THE MACD , RSI, etc ==================================================================== MACD-v is a volatility normalised momentum indicator. It remedies these 5 limitations of the classic MACD, while creating a tool with unique properties. Formula: × 100 MACD-V enhances the classic MACD by normalizing for volatility, transforming price-dependent readings into standardized momentum values. This resolves key limitations of traditional MACD and adds significant analytical power. Core Advantages of MACD-V Advantage 1: Time-Based Stability MACD-V values are consistent and comparable over time. A reading of 100 has the same meaning today as it did in the past (unlike traditional MACD which is influenced by changes in price and volatility over time) Advantage 2: Cross-Market Comparability MACD-V provides universal scaling. Readings (e.g., ±50) apply consistently across all asset classes—stocks, bonds, commodities, or currencies, allowing traders to compare momentum across markets reliably. Advantage 3: Objective Momentum Classification MACD-V includes a defined 5-range momentum lifecycle with standardized thresholds (e.g., -150 to +150). This offers an objective framework for analyzing market conditions and supports integration with broader models. Advantage 4: False Signal Reduction in Low-Momentum Regimes MACD-V introduces a "neutral zone" (typically -50 to +50) to filter out these low-probability signals. Advantage 5: Improved Signal Timing in High-Momentum Regimes MACD-V identifies extremely strong trends, allowing for more precise entry and exit points. Advantage 6: Trend-Adaptive Scaling Unlike bounded oscillators like RSI or Stochastic, MACD-V dynamically expands with trend strength, providing clearer momentum insights without artificial limits. Advantage 7: Enhanced Divergence Detection MACD-V offers more reliable divergence signals by avoiding distortion at extreme levels, a common flaw in bounded indicators (RSI, etc) ==================================================================== ======================================= ⚒️ 5. HOW TO USE THE MACD-v: 7 CORE PATTERNS HOW TO USE THE MACD-v Histogram: 2 CORE PATTERNS ======================================= >>>>>> BASIC USE (RANGE RULES) <<<<<< The MACD-v has 7 Core Patterns (Ranges) : 1. Risk Range (Overbought)  Condition: MACD-V > Signal Line and MACD-V > +150  Interpretation: Extremely strong bullish momentum—potential exhaustion or reversal zone. 2. Retracing  Condition: MACD-V < Signal Line and MACD-V > -50  Interpretation: Mild pullback within a bullish trend. 3. Rundown  Condition: MACD-V < Signal Line and -50 > MACD-V > -150  Interpretation: Momentum is weakening—bearish pressure building. 4. Risk Range (Oversold)  Condition: MACD-V < Signal Line and MACD-V < -150  Interpretation: Extreme bearish momentum—potential for reversal or capitulation. 5. Rebounding  Condition: MACD-V > Signal Line and MACD-V > -150  Interpretation: Bullish recovery from oversold or weak conditions. 6. Rallying  Condition: MACD-V > Signal Line and MACD-V > +50  Interpretation: Strengthening bullish trend—momentum accelerating. 7. Ranging (Neutral Zone)  Condition: MACD-V remains between -50 and +50 for 20+ bars  Interpretation: Sideways market—low conviction and momentum. The MACD-v Histogram has 2 Core Patterns (Ranges) : 1. Risk (Overbought)  Condition: Histogram > +40  Interpretation: Short-term bullish momentum is stretched—possible overextension or reversal risk. 2. Risk (Oversold)  Condition: Histogram < -40  Interpretation: Short-term bearish momentum is stretched—potential for rebound or reversal. ======================================= ======================================= 📈 6. ADVANCED PATTERNS WITH MACD-v ======================================= Thanks to its volatility normalization, the MACD-V framework enables the development of a wide range of advanced pattern recognition setups, trading signals, and strategic models. These patterns go beyond basic crossovers, offering deeper insight into momentum structure, regime shifts, and high-probability trade setups. These are not part of this script ======================================= =========================================================== ⚙️ 7. FUNCTIONALITY - HOW TO ADD THE INDICATORS TO YOUR CHART =========================================================== The script allows you to see : 1. MACD-v The indicator with the ranges (150,50,0,-50,-150) and colour coded according to its 7 basic patterns 2. MACD-v Histogram The indicator The indicator with the ranges (40,0,-40) and colour coded according to its 2 basic ranges / patterns 3. MACD-v Heatmap You can see the MACD-v in a Multiple Timeframe basis, using a colour-coded Heatmap Note that lowest timeframe in the heatmap must be the one on the chart i.e. if you see the daily chart, then the Heatmap will be Daily, Weekly, Monthly 4. MACD-v Dashboard You can see the MACD-v for 7 markets, in a multiple timeframe basis ======================================= ======================================= 🤝 CONTRIBUTIONS 🤝 ======================================= I would like to thank the following people: 1. Mike Christensen for coding the indicator @TradersPostInc, @Mik3Christ3ns3n, 2. @Indicator-Jones For allowing me to use his Scanner 3. @Daveatt For allowing me to use his heatmap ======================================= ======================================= ⚠️ LEGAL - Usage and Attribution Notice ⚠️ ======================================= Use of this Script is permitted for personal or non-commercial purposes, including implementation by coders and TradingView users. However, any form of paid redistribution, resale, or commercial exploitation is strictly prohibited. Proper attribution to the original author is expected and appreciated, in order to acknowledge the source and maintain the integrity of the original work. Failure to comply with these terms, or to take corrective action within 48 hours of notification, will result in a formal report to TradingView’s moderation team, and will actively pursue account suspension and removal of the infringing script(s). Continued violations may result in further legal action, as deemed necessary. ======================================= ======================================= ⚠️ DISCLAIMER ⚠️ ======================================= This indicator is For Educational Purposes Only (F.E.P.O.). I am just Teaching by Example (T.B.E.) It does not constitute investment advice. There are no guarantees in trading - except one. You will have losses in trading. I can guarantee you that with 100% certainty. The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏 Always perform your own analysis and use proper risk management. 🛡️ =======================================
Indicateur Pine Script®
par AlexSpiroglou
10
BecakFloatingPanelsLibrary "BecakFloatingPanels" Library for creating floating indicator panels with MACD, RSI, and Stochastic indicators calculateMacd(source, fastLength, slowLength, signalLength)   Calculate MACD components   Parameters:      source (float) : Price source for calculation      fastLength (simple int) : Fast EMA period      slowLength (simple int) : Slow EMA period      signalLength (simple int) : Signal line period   Returns: MacdData MACD calculation results calculateRsi(source, length)   Calculate RSI   Parameters:      source (float) : Price source for calculation      length (simple int) : RSI period   Returns: float RSI value calculateStochastic(source, high, low, kLength, kSmoothing, dSmoothing)   Calculate Stochastic components   Parameters:      source (float) : Price source for calculation      high (float) : High prices      low (float) : Low prices      kLength (int) : %K period      kSmoothing (int) : %K smoothing period      dSmoothing (int) : %D smoothing period   Returns: StochData Stochastic calculation results calculateStochSignals(stochK, stochD, overboughtLevel, oversoldLevel)   Calculate Stochastic signals   Parameters:      stochK (float) : Stochastic %K series      stochD (float) : Stochastic %D series      overboughtLevel (float) : Overbought threshold      oversoldLevel (float) : Oversold threshold   Returns: StochSignals Signal flags calculateChartMetrics(high, low, lookbackLength)   Calculate chart range and positioning metrics   Parameters:      high (float) : High prices      low (float) : Low prices      lookbackLength (int) : Lookback period   Returns: ChartMetrics Chart positioning data calculateMacdRange(macdLine, signalLine, histogram, safeLookback)   Calculate MACD range for normalization   Parameters:      macdLine (float) : MACD line series      signalLine (float) : Signal line series      histogram (float) : Histogram series      safeLookback (int) : Lookback period   Returns: MacdRange MACD range metrics initVisualArrays()   Initialize visual arrays   Returns: VisualArrays Container with initialized arrays clearVisuals(visuals)   Clear all visual elements   Parameters:      visuals (VisualArrays) : VisualArrays container   Returns: void calculatePanelPositions(chartMetrics, oscPlacement, panelHeight, panelSpacing, centerOffset)   Calculate panel positions based on placement option   Parameters:      chartMetrics (ChartMetrics) : Chart metrics object      oscPlacement (string) : Panel placement option      panelHeight (float) : Panel height percentage      panelSpacing (float) : Panel spacing percentage      centerOffset (float) : Center offset percentage   Returns: PanelPositions Panel boundary coordinates createPanelBackgrounds(visuals, positions, panelLeft, panelRight, showBackground, transparency)   Create panel backgrounds   Parameters:      visuals (VisualArrays) : VisualArrays container      positions (PanelPositions) : PanelPositions object      panelLeft (int) : Left boundary      panelRight (int) : Right boundary      showBackground (bool) : Show background flag      transparency (int) : Background transparency   Returns: void drawReferenceLines(visuals, positions, chartMetrics, macdRange, dataLeft, dataRight, panelHeight, rsiOverbought, rsiOversold, stochOverbought, stochOversold)   Draw reference lines for all panels   Parameters:      visuals (VisualArrays) : VisualArrays container      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      macdRange (MacdRange) : MacdRange object      dataLeft (int) : Left data boundary      dataRight (int) : Right data boundary      panelHeight (float) : Panel height percentage      rsiOverbought (int) : RSI overbought level      rsiOversold (int) : RSI oversold level      stochOverbought (int) : Stochastic overbought level      stochOversold (int) : Stochastic oversold level   Returns: void drawMacdIndicator(visuals, macdLine, signalLine, histogram, macdRange, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)   Draw MACD indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      macdLine (float) : MACD line series      signalLine (float) : Signal line series      histogram (float) : Histogram series      macdRange (MacdRange) : MacdRange object      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage   Returns: void drawRsiIndicator(visuals, rsiValue, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight)   Draw RSI indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      rsiValue (float) : RSI value      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage   Returns: void drawStochasticIndicator(visuals, stochK, stochD, positions, chartMetrics, barIndex, nextBarIndex, barIndexOffset, panelHeight, stochOverbought, stochOversold)   Draw Stochastic indicator   Parameters:      visuals (VisualArrays) : VisualArrays container      stochK (float) : Stochastic %K series      stochD (float) : Stochastic %D series      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      barIndex (int) : Current bar index      nextBarIndex (int) : Next bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage      stochOverbought (int) : Overbought level      stochOversold (int) : Oversold level   Returns: void addStochasticSignals(visuals, buySignal, sellSignal, positions, chartMetrics, currentBarIndex, barIndexOffset, panelHeight, signalIndex)   Add Stochastic buy/sell signals   Parameters:      visuals (VisualArrays) : VisualArrays container      buySignal (bool) : Buy signal series      sellSignal (bool) : Sell signal series      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      currentBarIndex (int) : Current bar index      barIndexOffset (int) : Horizontal offset      panelHeight (float) : Panel height percentage      signalIndex (int) : Signal index for lookback   Returns: void setPanelLabels(macdLabel, rsiLabel, stochLabel, positions, chartMetrics, labelOffset, panelHeight, barIndexOffset)   Set panel title labels   Parameters:      macdLabel (label) : MACD label reference      rsiLabel (label) : RSI label reference      stochLabel (label) : Stochastic label reference      positions (PanelPositions) : PanelPositions object      chartMetrics (ChartMetrics) : ChartMetrics object      labelOffset (int) : Label horizontal offset      panelHeight (float) : Panel height percentage      barIndexOffset (int) : Horizontal offset   Returns: void showDebugInfo(chartMetrics, debugMode)   Display debug information   Parameters:      chartMetrics (ChartMetrics) : ChartMetrics object      debugMode (bool) : Debug mode flag   Returns: void ChartMetrics   Chart metrics container   Fields:      visibleHigh (series float) : Highest visible price      visibleLow (series float) : Lowest visible price      chartRange (series float) : Price range of chart      chartCenter (series float) : Center point of chart MacdData   MACD calculation results   Fields:      macdLine (series float) : Main MACD line      signalLine (series float) : Signal line      histogram (series float) : MACD histogram MacdRange   MACD range metrics for normalization   Fields:      highest (series float) : Highest MACD value      lowest (series float) : Lowest MACD value      BRange (series float) : Total range StochData   Stochastic calculation results   Fields:      k_smooth (series float) : Smoothed %K line      d (series float) : %D line StochSignals   Stochastic signals   Fields:      buySignal (series bool) : Buy signal flag      sellSignal (series bool) : Sell signal flag PanelPositions   Panel positioning data   Fields:      macdTop (series float) : MACD panel top      macdBottom (series float) : MACD panel bottom      rsiTop (series float) : RSI panel top      rsiBottom (series float) : RSI panel bottom      stochTop (series float) : Stochastic panel top      stochBottom (series float) : Stochastic panel bottom VisualArrays   Visual elements arrays container   Fields:      macdLines (array) : Array of MACD lines      macdHist (array) : Array of MACD histogram boxes      rsiLines (array) : Array of RSI lines      stochLines (array) : Array of Stochastic lines      stochAreas (array) : Array of Stochastic areas      stochSignals (array) : Array of Stochastic signals      panelBackgrounds (array) : Array of panel backgrounds
Bibliothèque Pine Script®
par kromut76
Green*DiamondGreen*Diamond (GD1) Unleash Dynamic Trading Signals with Volatility and Momentum Overview GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading. Key Features Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones. Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions. MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision. RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection. Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues. Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading. Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes. Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities. How It Works Green*Diamond integrates multiple indicators to generate signals: Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled). Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets. MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals. Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation. Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals. Settings Volatility Bands Settings: VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts. Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets. Show Volatility Bands: Toggle off to reduce chart clutter. Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals. Consolidation Settings: Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes. Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals. MACD Settings: Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading. Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends. Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays. Use RSI Div + MACD Cross: Enable for high-probability reversal signals. RSI Settings: RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily. Filter Level (50): Set to 55 for stricter buys; 45 for sells. Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices. RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum. Color Settings: Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes). Border Thickness (1): Increase to 2–3 for clearer candle outlines. Volume Settings: Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades. Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks. Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter. Ribbon Settings: EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends. Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues. Gradient Fill: Toggle on for trend clarity; off for minimalism. Custom Signals: Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam. Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices. Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline. Tips and Tricks Scalping Small Caps (e.g., AEHL): Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves. Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic. Pair with SMC+ green boxes (if you use them) for reversal confirmation. Day Trading: Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10. Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2. Watch for volume bars turning yellow to confirm entries. Swing Trading: Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60. Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles. Check Ribbon Wave gradient for trend strength—bright green signals strong bulls. Avoiding Noise: Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts. Disable Ribbon Wave or Volume Bars if the chart feels crowded. Limit Max Buy Signals to 1 for disciplined trading. Alert Setup: In TradingView’s Alerts panel, select: “GD Buy Signal” for standard entries. “RSI Div + MACD Cross Buy” for reversals. “VB Buy Signal” for breakout plays. Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping. Backtesting: Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals. Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave. Avoid signals during gray consolidation squares unless paired with RSI Divergence. Usage Notes Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD). Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe. Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%). Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot. Disclaimer Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading. Feedback Love Green*Diamond? Found a killer setup?
Indicateur Pine Script®
par kwsatterfield1
1
MACD of RSI [TORYS]MACD of RSI — Momentum & Divergence Scanner Description: This enhanced oscillator applies MACD logic directly to the Relative Strength Index (RSI) rather than price, giving traders a clearer look at internal momentum and early shifts in trend strength. Now featuring a custom histogram, dual MA types, and RSI-based divergence detection — it’s a complete toolkit for identifying exhaustion, acceleration, and hidden reversal points in real time. How It Works: Calculates the MACD line as the difference between a fast and slow moving average of RSI. Adds a Signal Line (MA of the MACD) and plots a Histogram to show momentum acceleration/deceleration. Both RSI MAs and the Signal Line can be toggled between EMA and SMA for custom tuning. Divergence Detection: Bullish Divergence : Price makes a lower low while RSI makes a higher low → labeled with a green “D” below the curve. Bearish Divergence : Price makes a higher high while RSI makes a lower high → labeled with a red “D” above the curve. Configurable lookback window for tuning sensitivity to pivots, with 4 as the sweet spot. RSI Pivot Dot Signals: Plots green dots at RSI oversold pivot lows below 30, Plots red dots at overbought pivot highs above 70. Helps detect short-term exhaustion or bounce zones, plotted right on the MACD-RSI curve. RSI 50 Crosses (Optional): Optional ▲ and ▼ labels when RSI crosses its 50 midline — useful for momentum trend shifts or pullback confirmation, or to detect consolidation. Histogram: Plotted as a column chart showing the distance between MACD and Signal Line. Colored dynamically: Bright green : Momentum rising above zero Light green : Weakening above zero Bright red : Momentum falling below zero Light red : Weakening below zero The zero line serves as the mid-point: Above = Bullish Bias Below = Bearish Bias How to Interpret: Momentum Confirmation: Use MACD cross above Signal Line with a rising histogram to confirm breakouts or trend entries. Histogram shrinking near zero = momentum weakening → caution or reversal. Exhaustion & Reversals: Dot signals near RSI extremes + histogram peak can suggest overbought/oversold pressure. Use divergence labels ("D") to spot early reversal signals before price breaks structure. Inputs & Settings: RSI Length Fast/Slow MA Lengths for MACD (applied to RSI) Signal Line Length MA Type: Choose between EMA and SMA for MACD and Signal Line Pivot Sensitivity for dot markers Divergence Logic Toggle Show/hide RSI 50 Crosses Best For: Traders who want momentum insight from inside RSI, not price Scalpers using divergence or exhaustion entries Swing traders seeking entry confirmation from signal crossovers Anyone using multi-timeframe confluence with RSI and trend filters Pro Tips: Combine this with: Bollinger Bands breakouts and reversals VWAP or EMAs to filter entries by trend Volume spikes or BBW squeezes for volatility confirmation TTM Scalper Alert to sync structure and momentum
Indicateur Pine Script®
par alexrainman
1
Multi-Confluence Swing Hunter V1# Multi-Confluence Swing Hunter V1 - Complete Description Overview The Multi-Confluence Swing Hunter V1 is a sophisticated low timeframe scalping strategy specifically optimized for MSTR (MicroStrategy) trading. This strategy employs a comprehensive point-based scoring system that combines optimized technical indicators, price action analysis, and reversal pattern recognition to generate precise trading signals on lower timeframes. Performance Highlight: In backtesting on MSTR 5-minute charts, this strategy has demonstrated over 200% profit performance, showcasing its effectiveness in capturing rapid price movements and volatility patterns unique to MicroStrategy's trading behavior. The strategy's parameters have been fine-tuned for MSTR's unique volatility characteristics, though they can be optimized for other high-volatility instruments as well. ## Key Innovation & Originality This strategy introduces a unique **dual scoring system** approach: - **Entry Scoring**: Identifies swing bottoms using 13+ different technical criteria - **Exit Scoring**: Identifies swing tops using inverse criteria for optimal exit timing Unlike traditional strategies that rely on simple indicator crossovers, this system quantifies market conditions through a weighted scoring mechanism, providing objective, data-driven entry and exit decisions. ## Technical Foundation ### Optimized Indicator Parameters The strategy utilizes extensively backtested parameters specifically optimized for MSTR's volatility patterns: **MACD Configuration (3,10,3)**: - Fast EMA: 3 periods (vs standard 12) - Slow EMA: 10 periods (vs standard 26) - Signal Line: 3 periods (vs standard 9) - **Rationale**: These faster parameters provide earlier signal detection while maintaining reliability, particularly effective for MSTR's rapid price movements and high-frequency volatility **RSI Configuration (21-period)**: - Length: 21 periods (vs standard 14) - Oversold: 30 level - Extreme Oversold: 25 level - **Rationale**: The 21-period RSI reduces false signals while still capturing oversold conditions effectively in MSTR's volatile environment **Parameter Adaptability**: While optimized for MSTR, these parameters can be adjusted for other high-volatility instruments. Faster-moving stocks may benefit from even shorter MACD periods, while less volatile assets might require longer periods for optimal performance. ### Scoring System Methodology **Entry Score Components (Minimum 13 points required)**: 1. **RSI Signals** (max 5 points): - RSI < 30: +2 points - RSI < 25: +2 points - RSI turning up: +1 point 2. **MACD Signals** (max 8 points): - MACD below zero: +1 point - MACD turning up: +2 points - MACD histogram improving: +2 points - MACD bullish divergence: +3 points 3. **Price Action** (max 4 points): - Long lower wick (>50%): +2 points - Small body (<30%): +1 point - Bullish close: +1 point 4. **Pattern Recognition** (max 8 points): - RSI bullish divergence: +4 points - Quick recovery pattern: +2 points - Reversal confirmation: +4 points **Exit Score Components (Minimum 13 points required)**: Uses inverse criteria to identify swing tops with similar weighting system. ## Risk Management Features ### Position Sizing & Risk Control - **Single Position Strategy**: 100% equity allocation per trade - **No Overlapping Positions**: Ensures focused risk management - **Configurable Risk/Reward**: Default 5:1 ratio optimized for volatile assets ### Stop Loss & Take Profit Logic - **Dynamic Stop Loss**: Based on recent swing lows with configurable buffer - **Risk-Based Take Profit**: Calculated using risk/reward ratio - **Clean Exit Logic**: Prevents conflicting signals ## Default Settings Optimization ### Key Parameters (Optimized for MSTR/Bitcoin-style volatility): - **Minimum Entry Score**: 13 (ensures high-conviction entries) - **Minimum Exit Score**: 13 (prevents premature exits) - **Risk/Reward Ratio**: 5.0 (accounts for volatility) - **Lower Wick Threshold**: 50% (identifies true hammer patterns) - **Divergence Lookback**: 8 bars (optimal for swing timeframes) ### Why These Defaults Work for MSTR: 1. **Higher Score Thresholds**: MSTR's volatility requires more confirmation 2. **5:1 Risk/Reward**: Compensates for wider stops needed in volatile markets 3. **Faster MACD**: Captures momentum shifts quickly in fast-moving stocks 4. **21-period RSI**: Reduces noise while maintaining sensitivity ## Visual Features ### Score Display System - **Green Labels**: Entry scores ≥10 points (below bars) - **Red Labels**: Exit scores ≥10 points (above bars) - **Large Triangles**: Actual trade entries/exits - **Small Triangles**: Reversal pattern confirmations ### Chart Cleanliness - Indicators plotted in separate panes (MACD, RSI) - TP/SL levels shown only during active positions - Clear trade markers distinguish signals from actual trades ## Backtesting Specifications ### Realistic Trading Conditions - **Commission**: 0.1% per trade - **Slippage**: 3 points - **Initial Capital**: $1,000 - **Account Type**: Cash (no margin) ### Sample Size Considerations - Strategy designed for 100+ trade sample sizes - Recommended timeframes: 4H, 1D for swing trading - Optimal for trending/volatile markets ## Strategy Limitations & Considerations ### Market Conditions - **Best Performance**: Trending markets with clear swings - **Reduced Effectiveness**: Highly choppy, sideways markets - **Volatility Dependency**: Optimized for moderate to high volatility assets ### Risk Warnings - **High Allocation**: 100% position sizing increases risk - **No Diversification**: Single position strategy - **Backtesting Limitation**: Past performance doesn't guarantee future results ## Usage Guidelines ### Recommended Assets & Timeframes - **Primary Target**: MSTR (MicroStrategy) - 5min to 15min timeframes - **Secondary Targets**: High-volatility stocks (TSLA, NVDA, COIN, etc.) - **Crypto Markets**: Bitcoin, Ethereum (with parameter adjustments) - **Timeframe Optimization**: 1min-15min for scalping, 30min-1H for swing scalping ### Timeframe Recommendations - **Primary Scalping**: 5-minute and 15-minute charts - **Active Monitoring**: 1-minute for precise entries - **Swing Scalping**: 30-minute to 1-hour timeframes - **Avoid**: Sub-1-minute (excessive noise) and above 4-hour (reduces scalping opportunities) ## Technical Requirements - **Pine Script Version**: v6 - **Overlay**: Yes (plots on price chart) - **Additional Panes**: MACD and RSI indicators - **Real-time Compatibility**: Confirmed bar signals only ## Customization Options All parameters are fully customizable through inputs: - Indicator lengths and levels - Scoring thresholds - Risk management settings - Visual display preferences - Date range filtering ## Conclusion This scalping strategy represents a comprehensive approach to low timeframe trading that combines multiple technical analysis methods into a cohesive, quantified system specifically optimized for MSTR's unique volatility characteristics. The optimized parameters and scoring methodology provide a systematic way to identify high-probability scalping setups while managing risk effectively in fast-moving markets. The strategy's strength lies in its objective, multi-criteria approach that removes emotional decision-making from scalping while maintaining the flexibility to adapt to different instruments through parameter optimization. While designed for MSTR, the underlying methodology can be fine-tuned for other high-volatility assets across various markets. **Important Disclaimer**: This strategy is designed for experienced scalpers and is optimized for MSTR trading. The high-frequency nature of scalping involves significant risk. Past performance does not guarantee future results. Always conduct your own analysis, consider your risk tolerance, and be aware of commission/slippage costs that can significantly impact scalping profitability.
Stratégie Pine Script®
par Quant_Trading_Pro
3
MLB Momentum IndicatorMLB Momentum Indicator is a no‐lookahead technical indicator designed to signal intraday trend shifts and potential reversal points. It combines several well‐known technical components—Moving Averages, MACD, RSI, and optional ADX & Volume filters—to deliver high‐probability buy/sell signals on your chart. Below is an overview of how it works and what each part does: 1. Moving Average Trend Filter The script uses two moving averages (fast and slow) to determine the primary trend: isUpTrend if Fast MA > Slow MA isDownTrend if Fast MA < Slow MA You can select the MA method—SMA, EMA, or WMA—and customize lengths. Why it matters: The indicator only gives bullish signals if the trend is up, and bearish signals if the trend is down, helping avoid trades that go against the bigger flow. 2. MACD Confirmation (Momentum) Uses MACD (with user‐defined Fast, Slow, and Signal lengths) to check momentum: macdBuySignal if the MACD line crosses above its signal line (bullish) macdSellSignal if the MACD line crosses below its signal line (bearish) Why it matters: MACD crossovers confirm an emerging momentum shift, aligning signals with actual price acceleration rather than random fluctuation. 3. RSI Overbought/Oversold Filter RSI (Relative Strength Index) is calculated with a chosen length, plus Overbought & Oversold thresholds: For long signals: the RSI must be below the Overbought threshold (e.g. 70). For short signals: the RSI must be above the Oversold threshold (e.g. 30). Why it matters: Prevents buying when price is already overbought or shorting when price is too oversold, filtering out possible poor‐risk trades. 4. Optional ADX Filter (Trend Strength) If enabled, ADX must exceed a chosen threshold (e.g., 20) for a signal to be valid: This ensures you’re only taking trades in markets that have sufficient directional momentum. Why it matters: It weeds out choppy, sideways conditions where signals are unreliable. 5. Optional Volume Filter (High‐Participation Moves) If enabled, the indicator checks whether current volume is above a certain multiple of its moving average (e.g., 1.5× average volume). Why it matters: High volume often indicates stronger institutional interest, validating potential breakouts or reversals. 6. ATR & Chandelier (Visual Reference) For reference only, the script can display ATR‐based stop levels or a Chandelier Exit line: ATR (Average True Range) helps gauge volatility and can inform stop‐loss distances. Chandelier Exit is a trailing stop technique that adjusts automatically as price moves. Why it matters: Though this version of the script doesn’t execute trades, these lines help you see how far to place stops or how to ride a trend. 7. Final Bullish / Bearish Signal When all conditions (trend, MACD, RSI, optional ADX, optional Volume) line up for a long, a green “Long” arrow appears. When all conditions line up for a short, a red “Short” arrow appears. Why it matters: You get a clear, on‐chart signal for each potential entry, rather than needing to check multiple indicators manually. 8. Session & Date Filtering The script allows choosing a start/end date and an optional session window (e.g. 09:30–16:00). Why it matters: Helps limit signals to a specific historical backtest range or trading hours, which can be crucial for day traders (e.g., stock market hours only). Putting It All Together Primary Trend → ensures you trade in line with the bigger direction. MACD & RSI → confirm momentum and avoid overbought/oversold extremes. ADX & Volume → optional filters for strong trend strength & genuine interest. Arrows → each potential buy (Long) or sell (Short) signal is clearly shown on your chart. Use Cases 5‐Minute Scalping: Shorter RSI/MACD lengths to catch small, frequent intraday moves. Swing Trading: Larger MAs, bigger RSI thresholds, and using ADX to filter only major trends. Cautious Approach: Enable volume & ADX filters to reduce false signals in choppy markets. Benefits & Limitations Benefits: Consolidates multiple indicators into one overlay. Clear buy/sell signals with optional dynamic volatility references. Flexible user inputs adapt to different trading styles/timeframes. Limitations: Like all technical indicators, it can produce false signals in sideways or news‐driven markets. Success depends heavily on user settings and the particular market’s behavior. Summary The MLB Momentum Indicator combines a trend filter (MAs), momentum check (MACD), overbought/oversold gating (RSI), and optional ADX/Volume filters to create clear buy/sell arrows on your chart. This approach encourages trading in sync with both trend and momentum, and helps avoid suboptimal entries when volume or trend strength is lacking. It can be tailored to scalp micro‐moves on lower timeframes or used for higher‐timeframe swing trading by adjusting the input settings.
Indicateur Pine Script®
par digitalsolomon_com