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Oil FRS 30/60### Deskripsi Metode "Oil FRS 30/60" **Metode "Oil FRS 30/60"** adalah sebuah strategi trading yang memanfaatkan **Stochastic Oscillator** pada dua timeframe yang berbeda (misalnya 30 menit dan 60 menit) untuk menghasilkan sinyal beli dan jual pada pasar minyak. Strategi ini dirancang untuk mengidentifikasi kondisi overbought (jenuh beli) atau oversold (jenuh jual) dengan memanfaatkan indikator teknikal untuk memberikan sinyal yang lebih akurat berdasarkan konfirmasi dari dua timeframe yang berbeda. Berikut adalah penjelasan lebih mendalam mengenai komponen dan cara kerja strategi ini: ### 1. **Indikator Stochastic Oscillator** - **Stochastic Oscillator** adalah indikator momentum yang digunakan untuk menunjukkan kondisi overbought (jenuh beli) atau oversold (jenuh jual) pada harga suatu aset. Indikator ini terdiri dari dua komponen utama: - **%K**: Menunjukkan posisi harga relatif terhadap rentang harga selama periode tertentu. - **%D**: Merupakan rata-rata dari %K dan digunakan untuk menghaluskan sinyal. - Dalam strategi ini, **Stochastic Oscillator** dihitung dengan periode **K Length** dan **D Length**, kemudian disaring menggunakan **Smooth K** untuk mendapatkan sinyal yang lebih halus. ### 2. **Penggunaan Dua Timeframe** - **Timeframe Utama**: Menggunakan Stochastic Oscillator pada timeframe yang lebih rendah (misalnya, 30 menit) untuk mendapatkan sinyal trading yang lebih sensitif dan cepat. - **Timeframe Lebih Tinggi (Higher Timeframe)**: Untuk mengonfirmasi sinyal dari timeframe utama, digunakan **Stochastic Oscillator** pada timeframe yang lebih tinggi (misalnya, 60 menit). Konfirmasi dari timeframe yang lebih tinggi membantu mengurangi kemungkinan sinyal palsu dan memastikan bahwa posisi yang diambil sesuai dengan tren yang lebih besar. ### 3. **Kondisi Sinyal Beli dan Jual** - **Sinyal Beli (Buy Condition)**: - **Crossover** antara %K dan %D (ketika %K melintasi %D dari bawah ke atas) pada timeframe utama. - Nilai **%K** di bawah 20 (menunjukkan kondisi oversold). - Pada timeframe lebih tinggi, **%K** juga harus berada di bawah 20 dan **%K** harus lebih tinggi dari **%D**, yang menunjukkan kemungkinan pembalikan arah tren. - **Sinyal Jual (Sell Condition)**: - **Crossunder** antara %K dan %D (ketika %K melintasi %D dari atas ke bawah) pada timeframe utama. - Nilai **%K** di atas 80 (menunjukkan kondisi overbought). - Pada timeframe lebih tinggi, **%K** harus berada di atas 80 dan **%K** harus lebih rendah dari **%D**, yang menunjukkan potensi pembalikan tren ke bawah. ### 4. **Manajemen Risiko: Take Profit dan Stop Loss** - **Take Profit (TP)** dan **Stop Loss (SL)** ditentukan berdasarkan persentase dari harga saat ini. - **Take Profit**: Level keuntungan ditentukan dengan mengalikan harga saat ini dengan faktor pengali TP (misalnya, 2.4% lebih tinggi dari harga saat ini untuk posisi beli). - **Stop Loss**: Level kerugian ditentukan dengan mengalikan harga saat ini dengan faktor pengali SL (misalnya, 1.7% lebih rendah dari harga saat ini untuk posisi beli). - Dengan demikian, manajemen risiko yang baik diterapkan untuk melindungi modal dan mengoptimalkan keuntungan. ### 5. **Visualisasi dan Labeling** - **Sinyal Beli dan Jual** ditandai pada chart dengan label yang menunjukkan **BUY** atau **SELL**. - **Level TP dan SL** digambarkan dengan garis putus-putus yang menunjukkan posisi keuntungan dan kerugian yang diinginkan. - **Bar Color** juga diubah menjadi hijau untuk sinyal beli dan merah untuk sinyal jual untuk memudahkan visualisasi. ### 6. **Keunggulan Metode Ini** - **Konfirmasi dari Dua Timeframe**: Penggunaan dua timeframe membantu memastikan bahwa sinyal yang dihasilkan lebih valid, mengurangi kemungkinan sinyal palsu dan meningkatkan keakuratan dalam pengambilan keputusan. - **Strategi Momentum**: Dengan menggunakan indikator Stochastic, strategi ini mengandalkan identifikasi kondisi jenuh beli atau jenuh jual, yang sering kali menunjukkan potensi pembalikan arah harga. - **Manajemen Risiko yang Jelas**: Dengan adanya level TP dan SL yang dinamis, trader dapat dengan mudah mengontrol risiko dan mengatur target keuntungan. ### 7. **Cocok Untuk Apa?** - **Minyak (Oil)**: Metode ini dirancang khusus untuk pasar minyak, karena harga minyak cenderung mengalami fluktuasi yang cepat dan seringkali terpengaruh oleh berita ekonomi dan politik. Oleh karena itu, penggunaan dua timeframe untuk konfirmasi sinyal menjadi sangat penting. - **Trader Jangka Pendek hingga Menengah**: Strategi ini cocok untuk trader yang lebih suka melakukan trading dalam jangka pendek hingga menengah (scalping atau swing trading), dengan memanfaatkan pergerakan harga yang cepat dalam timeframe rendah dan tinggi. ### Kesimpulan Strategi **Oil FRS 30/60** mengombinasikan indikator teknikal Stochastic Oscillator pada dua timeframe berbeda untuk memberikan sinyal beli dan jual yang lebih akurat. Dengan konfirmasi dari timeframe lebih tinggi dan pengaturan manajemen risiko yang baik melalui Take Profit dan Stop Loss, strategi ini dirancang untuk meminimalkan risiko dan memaksimalkan potensi keuntungan dalam trading minyak.
Pine Script™ ストラテジー
Ardan1881の投稿
ترکیب اندیکاتورها برای سیگنال‌های پیشرفته//@version=5 indicator("ترکیب اندیکاتورها برای سیگنال‌های پیشرفته", overlay=true) // تنظیمات پارامترهای اندیکاتورها fast_length = input.int(9, title="طول دوره MA سریع") slow_length = input.int(21, title="طول دوره MA کند") rsi_length = input.int(14, title="طول دوره RSI") macd_fast_length = input.int(12, title="طول دوره MACD سریع") macd_slow_length = input.int(26, title="طول دوره MACD کند") macd_signal_length = input.int(9, title="طول دوره سیگنال MACD") // محاسبه میانگین‌های متحرک fast_ma = ta.sma(close, fast_length) slow_ma = ta.sma(close, slow_length) // محاسبه RSI rsi = ta.rsi(close, rsi_length) // محاسبه MACD = ta.macd(close, macd_fast_length, macd_slow_length, macd_signal_length) // شرایط برای سیگنال‌ها buy_condition = (ta.crossover(fast_ma, slow_ma)) and (rsi < 30) and (macd_line > signal_line) sell_condition = (ta.crossunder(fast_ma, slow_ma)) and (rsi > 70) and (macd_line < signal_line) // نمایش سیگنال‌ها روی نمودار plotshape(series=buy_condition, title="سیگنال خرید", location=location.belowbar, color=color.green, style=shape.labelup, text="خرید") plotshape(series=sell_condition, title="سیگنال فروش", location=location.abovebar, color=color.red, style=shape.labeldown, text="فروش") // هشدارها برای سیگنال‌ها alertcondition(buy_condition, title="سیگنال خرید", message="سیگنال خرید ایجاد شد!") alertcondition(sell_condition, title="سیگنال فروش", message="سیگنال فروش ایجاد شد!")
Pine Script™ インジケーター
trader9025の投稿
Momentum Fusion Overview: "Momentum Fusion " is a sophisticated, multi-faceted momentum indicator that integrates several complementary technical analysis tools—RSI, Stochastic RSI, Cyclic RSI (cRSI), VWAP, Cumulative Volume Delta (CVD), and pivot points—into a single, cohesive non-overlay display. This indicator is crafted to provide traders with a comprehensive view of momentum, trend strength, volume dynamics, and potential reversal points, all normalized to a 0-100 scale for easy interpretation. By fusing these elements, it offers a unique synergy that enhances decision-making across various trading styles, from scalping to swing trading. Originality and Purpose: Unlike standalone momentum indicators, "Momentum Fusion " combines traditional oscillators (RSI, Stochastic RSI) with advanced cyclic analysis (cRSI), volume-weighted metrics (VWAP, CVD), and pivot-based reversal detection into one unified tool. The purpose of this fusion is to bridge the gap between price-based momentum, volume-driven insights, and cyclic market behavior, offering traders a more complete picture than any single indicator could provide. The normalized VWAP and CVD add a layer of volume context to momentum signals, while the cRSI introduces a dynamic, cycle-adapted perspective. Customizable divergence detection, pivot points, and detailed signal plotting further distinguish this script, making it a versatile solution for identifying trade opportunities. How It Works: RSI and Stochastic RSI: The base RSI uses a user-defined length (default 14) to measure price momentum, while the Stochastic RSI (with adjustable K and D smoothing) refines this into a faster oscillator. A Combined RSI averages RSI and Stochastic RSI K for a balanced momentum signal. Cyclic RSI (cRSI): This uses a dominant cycle length (default 20) and vibration/leveling parameters to adapt RSI to market cycles, smoothing noise and highlighting rhythmic price movements. Dynamic bands (upper/lower) are calculated based on cyclic memory, providing adaptive overbought/oversold zones. Normalized VWAP: VWAP is calculated from HLC3 and normalized over a lookback period (default 50) to fit the 0-100 scale, enabling direct comparison with momentum indicators. Crossovers with RSI, Stochastic RSI, and cRSI trigger bullish/bearish signals. Cumulative Volume Delta (CVD): CVD tracks the net difference between buying and selling volume using lower timeframe data (configurable precision). It’s normalized to 0-100 and can be displayed as a line or candlesticks, with flexible reset options (e.g., daily, session start). Pivot Points and Divergence: Pivot highs/lows are identified using adjustable lookbacks, plotted optionally. Divergence detection (regular/hidden) compares Combined RSI with price action, flagging potential reversals. Visualization: All components are plotted on a separate pane with overbought (70) and oversold (30) levels. Signals (buy/sell, VWAP crossovers) and labels (divergence, pivots) are customizable for clarity. How to Use It: Momentum Trading: Monitor RSI, Stochastic RSI K/D, and Combined RSI for overbought (>70) or oversold (<30) conditions. Use buy/sell signals (green/red triangles) at pivot lows/highs for entry/exit points. Cycle Analysis: Leverage cRSI and its dynamic bands to identify momentum shifts within market cycles. Crossings above the upper band or below the lower band signal potential reversals. Volume Confirmation: Enable VWAP and CVD to confirm momentum with volume trends. VWAP bullish signals (green triangles) suggest buying pressure, while bearish signals (red triangles) indicate selling pressure. CVD rising above zero supports bullish moves; falling below zero supports bearish moves. Divergence Trading: Activate divergence detection ("Regular," "Hidden," or "Both") to spot price-momentum disconnects. Regular bullish (R Bull) or bearish (R Bear) divergences signal reversals; hidden ones (H Bull, H Bear) suggest continuation. Customization: Adjust lengths (e.g., RSI, Stochastic RSI, cRSI), VWAP/CVD lookbacks, and reset options to match your timeframe and strategy. Toggle components (e.g., VWAP, CVD, pivots) to focus on relevant signals. Underlying Concepts: The indicator blends momentum (RSI, Stochastic RSI), cyclic theory (cRSI), and volume analysis (VWAP, CVD) into a unified framework: Momentum: RSI and Stochastic RSI capture short-term price velocity, with Combined RSI smoothing for reliability. Cycles: cRSI adapts to market rhythm using a dominant cycle length, reducing lag and noise with torque and phasing adjustments. Volume: VWAP reflects the average price weighted by volume, normalized for comparison; CVD measures buying/selling pressure, revealing hidden market dynamics. Pivots/Divergence: These identify structural shifts, enhancing timing precision. Practical Application: Scalpers: Use short RSI/Stochastic RSI lengths (e.g., 7) and VWAP signals on lower timeframes (1-5 minutes) for quick entries/exits. Day Traders: Focus on Combined RSI, cRSI bands, and CVD resets (e.g., session start) on 15-60 minute charts to trade intraday trends. Swing Traders: Emphasize cRSI cycles, VWAP crossovers, and divergence on 4-hour or daily charts for multi-day setups. Why It’s Unique: This isn’t just a collection of indicators—it’s a fusion that normalizes disparate metrics into a 0-100 scale, enabling direct interplay between momentum, volume, and cycles. The customizable CVD precision, adaptive cRSI bands, and detailed signal labeling make it a practical, trader-centric tool for dissecting market behavior.
Pine Script™ インジケーター
starseedmaster1の投稿
4
SENEE momentum indicator Ver#2Use the method of finding the difference between the current and previous closing prices and then sum the values ​​in a given period. In ver2, Demand and Supply zone and Greed and Fear zone have been added to help in decision making. Good luck ใช้หลักการหาส่วนต่างระหว่างราคาปิดปัจจุบันกับราคาปิดก่อนหน้า แล้วหาผลรวมในช่วงเวลาที่กำหนด ในเวอร์ชัน 2 ได้เพิ่ม Demand & Supply zone และ Greed and Fear zone เข้ามาเพื่อช่วยในการตัดสินใจ ขอให้โชคดี
Pine Script™ インジケーター
seneetotem1zq2fの投稿
1
Market Participation Index [PhenLabs]📊 Market Participation Index Version: PineScript™ v6 📌 Description Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology. 🚀 Points of Innovation: Automatic market condition detection system with intelligent preset selection Multi-statistical approach combining classical and advanced metrics Fractal-based divergence system with quality scoring Adaptive threshold calculation using statistical properties of current market 🚨 Important🚨 The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel. 🔧 Core Components Statistical Foundation: Multiple statistical measures combined with weighted approach Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile) Change Point Detection: Bayesian analysis for finding significant market structure shifts Divergence System: Fractal-based pattern detection with quality assessment Adaptive Visualization: Dynamic color schemes with context-appropriate settings 🔥 Key Features The indicator provides comprehensive market analysis through: Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis Auto-preset System: Automatically selects optimal settings for current conditions Fractal Divergence Analysis: Detects and grades quality of divergence patterns Adaptive Thresholds: Dynamically adjusts overbought/oversold levels 🎨 Visualization Color-coded Oscillator: Gradient-filled oscillator line showing intensity Divergence Markings: Clear visualization of bullish and bearish divergences Threshold Lines: Dynamic or fixed overbought/oversold levels Preset Information: On-chart display of current market conditions Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes Classic Modern Monochrome Neon 📖 Usage Guidelines The indicator offers several customization options: Market Condition Settings: Preset Mode: Choose between Auto-detection or specific market condition presets Color Theme: Select visual theme matching your chart style Divergence Labels: Choose whether or not you’d like to see the divergence ✅ Best Use Cases: Identify potential market reversals through statistical divergences Detect changes in market structure before price confirmation Filter trades based on current market condition (trending vs. ranging) Find optimal entry and exit points using adaptive thresholds Monitor shifts in market participation and momentum ⚠️ Limitations Requires sufficient historical data for accurate statistical analysis Auto-detection may lag during rapid market condition changes Advanced statistical calculations have higher computational requirements Manual preset selection may be required in certain transitional markets 💡 What Makes This Unique Statistical Depth: Goes beyond traditional indicators with advanced statistical measures Adaptive Intelligence: Automatically adjusts to current market conditions Bayesian Analysis: Identifies statistically significant change points in market structure Multi-factor Approach: Combines multiple statistical dimensions for confirmation Fractal Divergence System: More robust than traditional divergence detection methods 🔬 How It Works The indicator processes market data through four main components: Market Condition Analysis: Evaluates trend strength, volatility, and price patterns Automatically selects optimal preset parameters Adapts sensitivity based on current conditions Statistical Oscillator: Combines multiple statistical measures with weights Normalizes values to consistent scale Applies adaptive smoothing Advanced Statistical Analysis: Calculates higher-order statistical moments Applies information-theoretic measures Detects distribution anomalies Divergence Detection: Uses fractal theory to identify pivot points Detects and scores divergence quality Filters signals based on current market phase 💡 Note: The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
Pine Script™ インジケーター
PhenLabsの投稿
Bollinger Bands MTF & Kalman Filter | Flux Charts📈 Multi-Timeframe Kalman Filtered Bollinger Bands Indicator Introducing our MTF Kalman Filtered Bollinger Bands – a powerful multi-timeframe Bollinger Bands (BB) indicator enhanced with Kalman filtering for superior smoothing and trend analysis. This indicator dynamically adapts Bollinger Bands across multiple timeframes while incorporating volume-based gradient transparency to highlight significant price movements. This indicator is better optimized for lower timeframes. ❓ How to Interpret the Bands & Volume Gradient: Our indicator combines Lower Timeframe (LTF) and Higher Timeframe (HTF) Bollinger Bands to provide a comprehensive trend analysis. It applies Kalman filtering to the LTF bands, ensuring smoother, noise-reduced signals. The color gradient and relative volume-based transparency offer deeper insights into price strength. 🔹 LTF Bollinger Bands: Shorter-period bands filtered with a Kalman smoothing algorithm, reducing lag and noise. 🔹 HTF Bollinger Bands: Traditional Bollinger Bands plotted on a higher timeframe, offering macro trend analysis. 🔹 Volume Gradient Transparency: The bands adjust their opacity based on relative buy/sell volume, allowing traders to assess momentum strength. 📌 How Does It Work? 1️⃣ Multi-Timeframe Bollinger Bands Calculation The LTF BB uses Kalman filtering for a smoother price representation, helping to reduce false signals. The HTF BB is EMA-smoothed for improved trend clarity. 2️⃣ Adaptive Gradient Transparency The opacity of the fill color between the bands is determined by relative buy/sell volume. Higher buy volume = stronger bullish signal (greener bands). Higher sell volume = stronger bearish signal (redder bands). 3️⃣ Dynamic Trend Signals & Breakouts Buy Signal: When price breaks below the HTF lower band and LTF bands start rising. Sell Signal: When price breaks above the HTF upper band and LTF bands start falling. ⚙️ Settings & Customization: 🛠 LTF and HTF Bollinger Bands Settings: Multiplier: The multiplier applied to the BB to determine the upper and lower bands Length: Define the number of bars determines the BB calculations. Custom Timeframe Selection: Choose from predefined options (e.g., 5m, 15m, 1H, 4H, etc). 🎨 Gradient & Transparency Settings: Bullish/Bearish Color Options: Customize colors for uptrend and downtrend conditions. Max & Min Opacity: Adjust the transparency levels based on volume intensity. Solid vs. Gradient Mode: Choose between a gradient fill or a solid color mode for clarity. 📌 Recommended Settings for Optimal Use: 1️⃣ Timeframe Selection (LTF -> HTF): 1 min -> 5 min 2 min -> 5 min 3 min -> 15 min 5 min -> 15 min 15 min -> 1 hr 1 hr -> 4 hr 4 hr -> 1 day 2️⃣ Multiplier: Use 2.0 for LTF and 2.25 for HTF 3️⃣Length: Use a length of 20 - 30 bars 🚀 Why Use This Indicator? ✅ Multi-Timeframe Bollinger Bands with Kalman Filtering – Ideal for traders looking for reduced lag and clearer trend signals. ✅ Volume-Based Transparency – See momentum shifts instantly with adaptive opacity. ✅ Dynamic Buy & Sell Signals – Alerts based on price action + volume trends. ✅ Customizable for Any Strategy – Adjust colors, timeframes, and filtering options for personalized trading.
Pine Script™ インジケーター
fluxchartの投稿
6
TEMA OBOS Strategy PakunTEMA OBOS Strategy Overview This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering. By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision. This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts). Strategy Objectives Identify trend direction using TEMA Use OBOS to filter out overbought/oversold conditions Implement ATR-based dynamic risk management Key Features 1. Trend Analysis Using TEMA Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries. ema4 acts as the primary trend filter. 2. Overbought/Oversold (OBOS) Filtering Long Entry Condition: up > down (bullish trend confirmed) Short Entry Condition: up < down (bearish trend confirmed) Reduces unnecessary trades by filtering extreme market conditions. 3. ATR-Based Take Profit (TP) & Stop Loss (SL) Adjustable ATR multiplier for TP/SL Default settings: TP = ATR × 5 SL = ATR × 2 Fully customizable risk parameters. 4. Customizable Parameters TEMA Length (for trend calculation) OBOS Length (for overbought/oversold detection) Take Profit Multiplier Stop Loss Multiplier EMA Display (Enable/Disable TEMA lines) Bar Color Change (Enable/Disable candle coloring) Trading Rules Long Entry (Buy Entry) ema3 crosses above ema4 (Golden Cross) OBOS indicator confirms up > down (bullish trend) Execute a buy position Short Entry (Sell Entry) ema3 crosses below ema4 (Death Cross) OBOS indicator confirms up < down (bearish trend) Execute a sell position Take Profit (TP) Entry Price + (ATR × TP Multiplier) (Default: 5) Stop Loss (SL) Entry Price - (ATR × SL Multiplier) (Default: 2) TP/SL settings are fully customizable to fine-tune risk management. Risk Management Parameters This strategy emphasizes proper position sizing and risk control to balance risk and return. Trading Parameters & Considerations Initial Account Balance: $7,000 (adjustable) Base Currency: USD Order Size: 10,000 USD Pyramiding: 1 Trading Fees: $0.94 per trade Long Position Margin: 50% Short Position Margin: 50% Total Trades (M5 Timeframe): 128 Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M Total P&L：+1638.20USD Max equity drawdown：694.78USD Total trades：128 Profitable trades:44.53 Profit factor:1.45 These settings aim to protect capital while maintaining a balanced risk-reward approach. Visual Support TEMA Lines (Three EMAs) Trend direction is indicated by color changes (Blue/Orange) ema3 (short-term) and ema4 (long-term) crossover signals potential entries OBOS Histogram Green → Strong buying pressure Red → Strong selling pressure Blue → Possible trend reversal Entry & Exit Markers Blue Arrow → Long Entry Signal Red Arrow → Short Entry Signal Take Profit / Stop Loss levels displayed Strategy Improvements & Uniqueness This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management. Enhanced Trend Identification with TEMA Detects early trend reversals using ema3 & ema4 crossover Reduces market noise for a smoother trend-following approach Improved OBOS Filtering Prevents excessive trading Reduces unnecessary risk exposure Dynamic Risk Management with ATR-Based TP/SL Not a fixed value → TP/SL adjusts to market volatility Fully customizable ATR multiplier settings (Default: TP = ATR × 5, SL = ATR × 2) Summary The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators. TEMA for trend identification OBOS for noise reduction & overbought/oversold filtering ATR-based TP/SL settings for dynamic risk management Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.
Pine Script™ ストラテジー
PakunFXの投稿
EMA y Parabolic SARMarkoni 2.0 - Scaramuzza Este indicador combina cuatro medias móviles exponenciales (EMA) y el Parabolic SAR para ayudarte a identificar tendencias y posibles puntos de reversión en el mercado. Las EMAs proporcionan una visión clara de la tendencia a largo y corto plazo, mientras que el Parabolic SAR se utiliza para señalar posibles cambios en la dirección del precio. Características: EMA 200: Representa la tendencia a largo plazo. Cuando el precio está por encima de esta EMA, se considera una tendencia alcista, y cuando está por debajo, una tendencia bajista. EMA 50: Indicador de la tendencia intermedia. Ayuda a filtrar las señales de corto plazo y da un panorama más claro de la dirección del mercado. EMA 8 y EMA 21: Son EMAs más cortas que se utilizan para identificar movimientos rápidos y cambios en el mercado. Las cruces entre estas dos EMAs son señales clave de entrada y salida. Parabolic SAR: Señala posibles puntos de reversión en la tendencia, ayudando a identificar cuándo el precio podría cambiar de dirección, basado en un sistema de puntos que aparecen por encima o debajo del precio. ¿Cómo utilizarlo? Tendencia alcista: Cuando el precio está por encima de las EMAs más largas (200 y 50), y la EMA 8 está por encima de la EMA 21, se considera que el mercado está en una tendencia alcista. Tendencia bajista: Cuando el precio está por debajo de las EMAs más largas, y la EMA 8 está por debajo de la EMA 21, el mercado está en una tendencia bajista. Señales de reversión: El Parabolic SAR marca puntos de reversión. Si los puntos están por debajo del precio, podría indicar una reversión alcista, y si están por encima, una reversión bajista. Este indicador es útil para traders que buscan seguir la tendencia y capturar puntos de entrada y salida basados en el análisis de varias EMAs y señales del Parabolic SAR.
Pine Script™ インジケーター
TomasScaramuzzaの投稿
Relative Directional Index (RDI)The Relative Directional Index (RDI) is a trend-following and momentum-based indicator that combines the Average Directional Index (ADX) and the Relative Strength Index (RSI) into a single, intuitive tool. While ADX measures the strength of a trend, RSI tracks momentum shifts and overbought/oversold conditions. When used together, these indicators provide a complete market picture, allowing traders to see not just where price is moving, but how strong that movement is. 📌 Why Combine Direction (ADX) with Momentum (RSI)? Most traders rely on either a trend-following approach (using ADX) or a momentum-based strategy (using RSI). The problem? • ADX alone can confirm that a trend is strong, but it doesn’t tell you if momentum is fading. • RSI alone can indicate potential reversals, but it doesn’t confirm if the trend is still dominant. By combining direction with momentum, the RDI prevents misleading signals and offers higher confidence in trade entries and exits. 🔥 Key Features of the RDI Indicator ✅ ADX Histogram with Adjustable Transparency • Visually represents trend strength. • Green bars = Trend gaining strength. • Red bars = Trend weakening. • User-controlled transparency for better visibility. ✅ ADX Trend Line (Orange) • Tracks the strength of a trend over time. • Rising ADX = Increasing trend strength. • Falling ADX = Trend losing strength. ✅ RSI Momentum Line (Yellow) • Helps identify momentum surges and exhaustion points. • Above 50 = Bullish momentum dominates. • Below 50 = Bearish momentum dominates. ✅ Trend Strength Squares (Color-Scaled by Strength) • Green squares = Strong uptrend. • Red squares = Strong downtrend. • Brightness depends on trend strength (faded squares = weaker trends). ✅ ADX/RSI Crossover Markers (Yellow & Orange Squares) • Yellow Square (RSI Crosses Above ADX): Momentum overtakes trend strength. • Orange Square (ADX Crosses Above RSI): Trend strength dominates over momentum. • These signals help spot shifts in price behavior before a trend changes. ✅ Customizable Horizontal Levels • Yellow Line (50 ADX): Marks strong trends. • Red Line (30 ADX): Identifies weak trends. • Green Line (70 ADX): Highlights extremely strong trends, often near exhaustion. 🛠 How to Use the RDI in Trading 📈 Identifying Strong Trends with Momentum Confirmation A strong trend isn’t always enough—momentum must support it. • Bullish Trend Confirmation: ADX rising AND RSI above 50. • Bearish Trend Confirmation: ADX rising AND RSI below 50. • False Breakout Warning: If ADX is rising but RSI is weakening, momentum is fading → Reversal possible. 📉 Spotting Trend Exhaustion Before Reversals • High ADX (Above 50) + RSI Falling: Trend exhaustion warning. • RSI Over 70 While ADX Still Rising: Trend is overheating. • ADX Falling While Price is Rising: Momentum is fading—potential reversal. 🔄 Using ADX/RSI Crossovers for Early Signals • RSI Crossing Above ADX (Yellow Square): Momentum is building, signaling possible breakout. • ADX Crossing Above RSI (Orange Square): Trend strength is dominant, often leading to continuation. 📌 Trend Strength Squares: Confirming Market Conditions • Bright Green Square: Strong uptrend → Ride the trend. • Bright Red Square: Strong downtrend → Stay short. • Faded Square: Weak trend → Market is range-bound or indecisive. The Relative Directional Index (RDI) bridges the gap between trend strength (ADX) and momentum (RSI). • ADX confirms whether a trend exists and how strong it is. • RSI determines whether momentum supports the trend or is fading. • Together, they provide clearer trade signals, better trend validation, and earlier reversal warnings.
Pine Script™ インジケーター
TheLeadingIndicatorの投稿
Stochastic Momentum Triangles[TheJackrabbit]This code is invite-only and in the experimental phase. Please contact the author if you are interested in testing. **Stochastic Momentum Triangles ** is a custom indicator designed to integrate multiple dimensions of market momentum into a single, visual framework. Rather than relying on generic oscillators, this tool brings together stochastic calculations, price mapping, velocity measurement, and dynamic visual feedback to offer a layered view of market conditions. #### Key Features and Components - **Stochastic Calculations Mapped to Price Levels** The indicator starts by computing the traditional stochastic oscillator values—%K, %D, and %J—over a user-defined period. These values are then mapped to the current price range. This mapping is achieved via a dedicated function that uses an exponential moving average and a rounding option, thereby linking momentum metrics directly with price dynamics. - **Momentum Velocity and Its RSI** To quantify the rate of change, the script calculates a “velocity” by measuring the difference in the price-mapped stochastic values over a specified lookback period. The resulting velocity values are then processed through a Relative Strength Index (RSI) calculation. This additional layer helps to provide a clearer picture of how rapidly market momentum is changing. - **Triangle Area Measurement as a Volatility Proxy** For each of the K, D, and J series, the indicator identifies the highest and lowest values within a user-specified lookback window and constructs triangles by connecting these extremes with the current value. The area of these triangles is computed, serving as an abstract measure of volatility and the range of price momentum. These areas are displayed alongside the velocity readings in an on-chart table for easy reference. - **Dynamic Interpretation Label** The tool also generates a concise reading in English that summarizes the relationships among the areas and velocity values. For example, it notes when one series, such as J, exhibits both the largest triangle area and the highest velocity. In such cases—suggesting an extended move or potential overextension—the label’s text color changes (to red) to visually alert the trader to an increased likelihood of a reversal. This approach allows traders to quickly assimilate the indicator’s data without overwhelming them with subjective language. - **Additional Visual Elements** Beyond the core calculations, the indicator includes a “momentum box” that captures the range of the stochastic-derived values over recent bars, as well as radial lines that provide a visual connection from the box’s reference point to current values. These elements together offer a structured, multi-faceted view of market dynamics. #### Significance and Effects This indicator takes a measured approach to integrating multiple aspects of market analysis. By combining price-based mapping with traditional stochastic and momentum measurements, it provides traders with: - **A structured framework** to assess market range and momentum changes. - **Visual cues** (such as the dynamic label and color changes) that highlight conditions warranting closer attention. - **Tangible, calculated metrics**—triangle areas and velocity RSIs—that may assist in identifying potential reversal points. Stochastic Momentum Triangles is intended to serve as a supplementary tool for traders who appreciate a quantitative perspective on market behavior. Its design focuses on clear, measurable outputs rather than relying on broad claims, allowing for a calm and thoughtful evaluation of market conditions.
Pine Script™ インジケーター
jackrabbitrageの投稿
Adaptive RSI with Real-Time Divergence [AIBitcoinTrend]👽 Adaptive RSI Trailing Stop (AIBitcoinTrend) The Adaptive RSI Trailing Stop is an indicator that integrates Gaussian-weighted RSI calculations with real-time divergence detection and a dynamic ATR-based trailing stop. This advanced approach allows traders to monitor momentum shifts, identify divergences early, and manage risk with adaptive trailing stop levels that adjust to price action. 👽 What Makes the Adaptive RSI with Signals and Trailing Stop Unique? Unlike traditional RSI indicators, this version applies a Gaussian-weighted smoothing algorithm, making it more responsive to price action while reducing noise. Additionally, the trailing stop feature dynamically adjusts based on volatility and trend conditions, allowing traders to: Detects real-time divergences (bullish/bearish) with a smart pivot-based system. Filter noise with Gaussian weighting, ensuring smoother RSI transitions. Utilize crossover-based trailing stop activation, for systematic trade management. 👽 The Math Behind the Indicator 👾 Gaussian Weighted RSI Calculation Traditional RSI calculations rely on simple averages of gains and losses. Instead, this indicator weights recent price changes using a Gaussian distribution, prioritizing more relevant data points while maintaining smooth transitions. Key Features: Exponential decay ensures recent price changes are weighted more heavily. Reduces short-term noise while maintaining responsiveness. 👾 Real-Time Divergence Detection The indicator detects bullish and bearish divergences using pivot points on RSI compared to price action. 👾 Dynamic ATR-Based Trailing Stop Bullish Trailing Stop: Activates when RSI crosses above 20 and dynamically adjusts based on low - ATR multiplier. Bearish Trailing Stop: Activates when RSI crosses below 80 and adjusts based on high + ATR multiplier This allows traders to: Lock in profits systematically by adjusting stop-losses dynamically. Stay in trades longer while maintaining adaptive risk management. 👽 How It Adapts to Market Movements ✔️ Gaussian Filtering ensures smooth RSI transitions while preventing excessive lag. ✔️ Real-Time Divergence Alerts provide early trade signals based on price-RSI discrepancies. ✔️ ATR Trailing Stop dynamically expands or contracts based on market volatility. ✔️ Crossover-Based Activation enables the stop-loss system only when RSI confirms a momentum shift. 👽 How Traders Can Use This Indicator 👾 Divergence Trading Traders can use real-time divergence detection to anticipate reversals before they happen. Bullish Divergence Setup: Look for RSI making a higher low, while price makes a lower low. Enter long when RSI confirms upward momentum. Bearish Divergence Setup: Look for RSI making a lower high, while price makes a higher high. Enter short when RSI confirms downward momentum. 👾 Trailing Stop Signals Bullish Signal and Trailing Stop Activation: When RSI crosses above 20, a trailing stop is placed using low - ATR multiplier. If price crosses below the stop, it exits the trade and removes the stop. Bearish Signal and Trailing Stop Activation: When RSI crosses below 80, a trailing stop is placed using high + ATR multiplier. If price crosses above the stop, it exits the trade and removes the stop. This makes trend-following strategies more efficient, while ensuring proper risk management. 👽 Why It’s Useful for Traders ✔️ Dynamic and Adaptive: Adjusts to changing market conditions automatically. ✔️ Noise Reduction: Gaussian-weighted RSI reduces short-term price distortions. ✔️ Comprehensive Strategy Tool: Combines momentum detection, divergence analysis, and automated risk management into a single indicator. ✔️ Works Across Markets & Timeframes: Suitable for stocks, forex, crypto, and futures trading. 👽 Indicator Settings RSI Length: Defines the lookback period for RSI smoothing. Gaussian Sigma: Controls how much weight is given to recent data points. Enable Signal Line: Option to display an RSI-based moving average. Divergence Lookback: Configures how far back pivot points are detected. Crossover/crossunder values for signals: Set the crossover/crossunder values that triggers signals. ATR Multiplier: Adjusts trailing stop sensitivity to market volatility. Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Pine Script™ インジケーター
aibitcointrendの投稿
1
Weighted Relative Strength Index [SeerQuant]Weighted Relative Strength Index (WRSI) The Weighted Relative Strength Index (WRSI) is an advanced momentum oscillator that enhances the traditional RSI by incorporating customizable weighting methods and moving average smoothing. With dynamic threshold logic, color-coded visuals, and optional candle coloring, the WRSI provides traders with a versatile tool for identifying trends, overbought/oversold conditions, and momentum shifts. ⚙️ How It Works 1. Weighted Momentum Calculation The indicator calculates price changes (delta) and applies a user-defined weighting method (e.g., Volume, Momentum, Volatility, or Reversion Factor) to emphasize specific market dynamics. 2. Custom Moving Average Integration Weighted upward and downward price movements are smoothed using a selectable moving average type (e.g., SMA, EMA, TEMA, etc.), producing a weighted RSI that blends momentum and trend data. 3. Smoothed RSI Output An additional moving average is applied to the weighted RSI for a smoothed version, offering a clearer view of momentum trends. 4. Threshold Logic Bullish (Uptrend): WRSI exceeds the upper neutral zone boundary (50 + Neutral Zone). Bearish (Downtrend): WRSI falls below the lower neutral zone boundary (50 - Neutral Zone). Neutral: WRSI remains within the neutral zone. Extreme overbought (90+) and oversold (20-) levels are marked with X’s for quick identification. 5. Dynamic Visual Representation A color-coded line reflects the WRSI, adjusting hues based on trend direction. Gradient fills highlight overbought/oversold zones and neutral areas. Optional candle coloring ties price action to WRSI or smoothed RSI values. A histogram-style fill between the WRSI and midline enhances trend strength visibility. ✨ Customizable Settings Calculation Settings: Calculation Source: Select the price source (default: close). Calculation Length: Set the lookback period for RSI calculation (default: 14). Moving Average Type: Choose from SMA, EMA, RMA, WMA, VWMA, LSMA, HMA, ALMA, DEMA, or TEMA (default: RMA). Moving Average Length: Adjust the smoothing period for the weighted RSI (default: 8). Neutral Zone Range: Define the width of the neutral zone around the midline (default: 5). RSI Weighting Method: Volume: Weights by trading volume. Momentum: Weights by absolute price momentum. Volatility: Weights by standard deviation. Reversion Factor: Weights inversely to variance for mean-reversion emphasis (default: Momentum). Style Settings: Colour Choice: Pick from predefined schemes: Default, Modern, Cool, or Monochrome (default: Default). Use Custom Colors?: Toggle to use custom bull, bear, and neutral colors (default: false). Bull/Bear/Neutral Colors: Set custom colors when enabled (default: green/red/gray). Candle Color Mode: Color candles based on WRSI or smoothed RSI (default: RSI). Color Candles?: Enable/disable candle coloring (default: false). 🚀 Features and Benefits Weighted Momentum Analysis: Enhances RSI with dynamic weighting for deeper market insights. Flexible Smoothing: Multiple MA types and adjustable lengths adapt to various trading styles. Visual Intuition: Color-coded outputs, gradient fills, and optional candle coloring simplify trend analysis. Customizable Thresholds: Neutral zone and extreme levels cater to individual strategies. Overbought/Oversold Signals: Clear markers for extreme conditions improve decision-making. 📜 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Pine Script™ インジケーター
SeerQuantの投稿
3
Naveen %R (140) ScreenerNaveen %R (140) Screener Description: The "Naveen %R (140) Screener" is a custom-built Pine Script indicator designed to identify oversold and overbought conditions in the cryptocurrency market. Tailored for traders who focus on altcoins, this indicator provides a sophisticated approach to market analysis using the Williams %R formula, adapted with a longer period of 140 to capture more extensive market cycles. Features: Longer Lookback Period: Utilizes a 140-period high and low to calculate the Williams %R, providing a broader view of market sentiment and potential reversals. Oversold and Overbought Signals: Clearly marks oversold conditions when the indicator value falls below -95, and overbought conditions when it rises above -5. Customizable Alerts: Traders can set alerts for oversold and overbought signals, enabling timely decisions based on specific trading strategies. Visual Tools: Includes blue lines to display the Williams %R values, with red and green horizontal lines marking overbought and oversold thresholds, respectively. Screener Compatibility: Optimized for use in TradingView’s cryptocurrency screener, allowing traders to filter and identify potential trading opportunities across multiple altcoins based on the indicator’s signals. Use Case: Ideal for traders looking for a reliable technical tool to gauge extreme conditions in the altcoin markets. Whether you are a day trader aiming for quick turnovers or a long-term investor looking for entry and exit points, the Naveen %R (140) Screener helps you navigate the volatility with more confidence. How to Use: Apply the indicator to any cryptocurrency chart within TradingView. Configure alerts to be notified when oversold or overbought conditions are met. Use the output of this script to filter altcoins in the TradingView screener, helping you focus your analysis on coins that meet specific criteria set by the indicator. Perfect for both new and experienced traders, the "Naveen %R (140) Screener" is a must-have tool in your trading arsenal to enhance your decision-making process and refine your trading strategies.
Pine Script™ インジケーター
navinsharmauaeの投稿
Cycle Buy-SellThis is just for the 4-year market cycle highs and lows for those who are buying and hodling but still want to take profits each cycle. Buy and sell rules are as follows: ### **📊 Buy & Sell Signal Conditions Summary** --- ### **✅ Buy Signal Conditions (`▲` Buy Signal)** A **buy signal** is triggered when **any** of the following conditions are met: #### **1️⃣ Standard Buy Condition (Momentum-Based)** ✅ **55 SMA is Below the 220 SMA** (`ma1 < ma2`) - Confirms that the market is in a **longer-term downtrend** before considering a buy. ✅ **RSI is Below 30** (`rsi < 30`) - Signals that the asset is **oversold** and could be due for a reversal. ✅ **Stochastic RSI K is Below 25** (`stoch_k < 25`) - Indicates **extreme bearish momentum**, often preceding a bounce. ✅ **Money Flow Index (MFI) is Below 30** (`mfi < 30`) - Suggests **weak buying pressure**, often seen at market bottoms. ✅ **Volume is Above 1.2x the 20-Period Moving Average** (`highVolume`) - Confirms that the buy signal occurs **during strong market participation** to reduce false signals. --- #### **2️⃣ 1400 SMA Cross Buy Condition (Cycle-Based)** ✅ **Price Crosses Below the 1400 SMA** (`ta.crossunder(close, ma4)`) - Signals a **potential long-term accumulation opportunity**. - **Triggers a separate buy signal**, independent of other conditions. --- ### **📉 Sell Signal Conditions (`▼` Sell Signal)** A **sell signal** is triggered when **any** of the following conditions are met: #### **1️⃣ Standard Sell Condition (Momentum-Based)** ✅ **55 SMA is Above the 220 SMA** (`ma1 > ma2`) - Confirms that the market is in a **longer-term uptrend** before considering a sell. ✅ **RSI is Above 70** (`rsi > 70`) - Indicates that the asset is **overbought** and could be due for a correction. ✅ **Stochastic RSI K is Above 80** (`stoch_k > 80`) - Signals **extreme bullish momentum**, often seen before a drop. ✅ **Money Flow Index (MFI) is Above 80** (`mfi > 80`) - Suggests **strong buying pressure**, often occurring near market tops. ✅ **Volume is Above 1.2x the 20-Period Moving Average OR MVRV Z-Score > 2.5** - `highVolume` = Volume is significantly above the average. - `mvrvTop = mvrv > 2.5` (Suggests Bitcoin is overvalued based on historical trends). --- #### **2️⃣ Pi Cycle Top Sell Condition (Cycle-Based)** ✅ **Pi Cycle Top Signal Triggers (`piCycleTop`)** - `piCycleTop = ta.crossover(ma111, ma350x2)` - **Overrides all other conditions and forces a sell signal**. - Historically aligns with **major cycle tops in Bitcoin**. --- ### **📝 Summary of Buy & Sell Conditions** 📍 **A Buy (`▲`) is triggered when**: - **Momentum-based buy conditions** (RSI, Stoch RSI, MFI, Volume, SMA) are met. - **OR the price crosses below the 1400 SMA** (Separate buy signal). 📍 **A Sell (`▼`) is triggered when**: - **Momentum-based sell conditions** (RSI, Stoch RSI, MFI, Volume, SMA, MVRV) are met. - **OR the Pi Cycle Top is triggered** (Forces a sell). 🚀 **Your strategy now integrates both short-term momentum signals and long-term cycle analysis!** Let me know if you need refinements. 🎯
Pine Script™ インジケーター
TheBrianの投稿
Naveen %R (140)Naveen %R (140) is a custom momentum oscillator inspired by the Williams %R indicator, optimized for analyzing overbought and oversold conditions in volatile markets, such as altcoins on short timeframes like 5 minutes. Unlike the traditional Williams %R, it employs a 140-period lookback to capture longer-term price extremes, smoothing out noise for a clearer view of market momentum. The indicator ranges from 0 to -100, with custom thresholds set at -5 for overbought (red line) and -95 for oversold (green line), offering tighter boundaries to pinpoint significant reversals. Plotted in blue, Naveen %R (140) is ideal for traders seeking a robust tool to navigate fast-moving crypto markets with enhanced precision.
Pine Script™ インジケーター
navinsharmauaeの投稿
ATRs in Days📌 ATR in Days This script tracks how price moves in relation to ATR over multiple days, providing a powerful volatility framework for traders. 🔹 Key Features: ✅ 4 ATRs in 5 Days – Measures if a stock has moved 4x its ATR within the last 5 days, identifying extreme volatility zones. ✅ Daily ATR Calculation – Tracks average true range over time to gauge market conditions. ✅ Clear Table Display – Real-time ATR readings for quick decision-making. ✅ Intraday & Swing Trading Compatible – Works across multiple timeframes for day traders & swing traders. 📊 How to Use: Look for stocks that exceed 4 ATRs in 5 days to spot extended moves. Use ATR as a reversion or continuation signal depending on market structure. Combine with VWAP or Bollinger Bands for added confluence. 🚀 Perfect for traders looking to quantify volatility & structure trades effectively!
Pine Script™ インジケーター
Yanni_Nicolaidesの投稿