Cyber Monday最大80%オフ

"adx"に関するスクリプトを検索

Market Phase MAMarket Phase MA is an advanced trend-following indicator designed to provide traders with a dynamically colored moving average that adapts to market conditions. It uses a powerful combination of Average True Range (ATR) and Average Directional Index (ADX) to classify market trends in real-time. The indicator integrates a fully customizable moving average (SMA or EMA) to highlight trend phases clearly and effectively. Key Features & Advantages: ✔ Adaptive Trend Classification: Detects uptrends, downtrends, and sideways markets using a refined mix of ATR and ADX for more precise trend identification. ✔ Color-Coded Moving Average: The moving average dynamically changes color based on trend classification, providing a clean visual representation of market sentiment. ✔ Advanced ATR & ADX Filtering: - ATR measures market volatility and identifies ranging periods. - ADX confirms trend strength, reducing false signals. - A weighted approach balances ATR and ADX, ensuring reliability. ✔ Fully Customizable Moving Average: Traders can select between SMA and EMA while adjusting the moving average length directly from the settings panel. ✔ Smooth & Responsive Adjustments: The smoothing factor can be fine-tuned to control signal sensitivity and noise reduction, making it suitable for scalping, swing trading, and long-term trend monitoring. What Makes It Unique: - Unlike traditional trend indicators, Market Phase MA provides **direct visual feedback** on a moving average rather than using a separate oscillator. - It **adapts dynamically** to market conditions instead of relying on fixed thresholds. - The combination of **volatility and trend strength analysis** enhances precision in identifying valid trends. - Users can optimize **reaction speed vs. reliability** with adjustable parameters for better decision-making. How to Use It: - Identify Market Phases: The moving average color shifts based on trend type—**teal** for uptrends, **red** for downtrends, and **gray** for sideways markets. - Confirm Trend Strength: Persistent color shifts indicate strong trends, while frequent changes may suggest market indecision. - Use as a Trade Confirmation Tool: Complement it with **support & resistance zones, price action analysis, and volume indicators** for stronger confirmation signals. Market Phase MA is designed for traders seeking a clear, efficient, and highly adaptable moving average trend detection system. Whether you are a day trader, swing trader, or long-term investor, this indicator will help you identify and follow trends with confidence.
Pine Script® インジケーター
Julien_Echeの投稿
6
DeepSignalFilterHelpersLibrary "DeepSignalFilterHelpers" filter_intraday_intensity(useIiiFilter)   Parameters:      useIiiFilter (bool) filter_vwma(src, length, useVwmaFilter)   Parameters:      src (float)      length (int)      useVwmaFilter (bool) filter_nvi(useNviFilter)   Parameters:      useNviFilter (bool) filter_emv(length, emvThreshold, useEmvFilter, useMovingAvg)   EMV filter for filtering signals based on Ease of Movement   Parameters:      length (int) : The length of the EMV calculation      emvThreshold (float) : The EMV threshold      useEmvFilter (bool) : Whether to apply the EMV filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_adi(length, threshold, useAdiFilter, useMovingAvg)   ADI filter for filtering signals based on Accumulation/Distribution Index   Parameters:      length (int) : The length of the ADI moving average calculation      threshold (float) : The ADI threshold      useAdiFilter (bool) : Whether to apply the ADI filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_mfi(length, mfiThreshold, useMfiFilter, useMovingAvg)   MFI filter for filtering signals based on Money Flow Index   Parameters:      length (int) : The length of the MFI calculation      mfiThreshold (float) : The MFI threshold      useMfiFilter (bool) : Whether to apply the MFI filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used detect_obv_states(obvThresholdStrong, obvThresholdModerate, lookbackPeriod, obvMode)   detect_obv_states: Identify OBV states with three levels (Strong, Moderate, Weak) over a configurable period   Parameters:      obvThresholdStrong (float) : Threshold for strong OBV movements      obvThresholdModerate (float) : Threshold for moderate OBV movements      lookbackPeriod (int) : Number of periods to analyze OBV trends      obvMode (string) : OBV mode to filter ("Strong", "Moderate", "Weak")   Returns: OBV state ("Strong Up", "Moderate Up", "Weak Up", "Positive Divergence", "Negative Divergence", "Consolidation", "Weak Down", "Moderate Down", "Strong Down") filter_obv(src, length, obvMode, threshold, useObvFilter, useMovingAvg)   filter_obv: Filter signals based on OBV states   Parameters:      src (float) : The source series (default: close)      length (int) : The length of the OBV moving average calculation      obvMode (string) : OBV mode to filter ("Strong", "Moderate", "Weak")      threshold (float) : Optional threshold for additional filtering      useObvFilter (bool) : Whether to apply the OBV filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_cmf(length, cmfThreshold, useCmfFilter, useMovingAvg)   CMF filter for filtering signals based on Chaikin Money Flow   Parameters:      length (int) : The length of the CMF calculation      cmfThreshold (float) : The CMF threshold      useCmfFilter (bool) : Whether to apply the CMF filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_vwap(useVwapFilter)   VWAP filter for filtering signals based on Volume-Weighted Average Price   Parameters:      useVwapFilter (bool) : Whether to apply the VWAP filter   Returns: Filtered result indicating whether the signal should be used filter_pvt(length, pvtThreshold, usePvtFilter, useMovingAvg)   PVT filter for filtering signals based on Price Volume Trend   Parameters:      length (int) : The length of the PVT moving average calculation      pvtThreshold (float) : The PVT threshold      usePvtFilter (bool) : Whether to apply the PVT filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_vo(shortLength, longLength, voThreshold, useVoFilter, useMovingAvg)   VO filter for filtering signals based on Volume Oscillator   Parameters:      shortLength (int) : The length of the short-term volume moving average      longLength (int) : The length of the long-term volume moving average      voThreshold (float) : The Volume Oscillator threshold      useVoFilter (bool) : Whether to apply the VO filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_cho(shortLength, longLength, choThreshold, useChoFilter, useMovingAvg)   CHO filter for filtering signals based on Chaikin Oscillator   Parameters:      shortLength (int) : The length of the short-term ADI moving average      longLength (int) : The length of the long-term ADI moving average      choThreshold (float) : The Chaikin Oscillator threshold      useChoFilter (bool) : Whether to apply the CHO filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_fi(length, fiThreshold, useFiFilter, useMovingAvg)   FI filter for filtering signals based on Force Index   Parameters:      length (int) : The length of the FI calculation      fiThreshold (float) : The Force Index threshold      useFiFilter (bool) : Whether to apply the FI filter      useMovingAvg (bool) : Whether to use moving average as threshold   Returns: Filtered result indicating whether the signal should be used filter_garman_klass_volatility(length, useGkFilter)   Parameters:      length (int)      useGkFilter (bool) filter_frama(src, length, useFramaFilter)   Parameters:      src (float)      length (int)      useFramaFilter (bool) filter_bollinger_bands(src, length, stdDev, useBollingerFilter)   Parameters:      src (float)      length (int)      stdDev (float)      useBollingerFilter (bool) filter_keltner_channel(src, length, atrMult, useKeltnerFilter)   Parameters:      src (float)      length (simple int)      atrMult (float)      useKeltnerFilter (bool) regime_filter(src, threshold, useRegimeFilter)   Regime filter for filtering signals based on trend strength   Parameters:      src (float) : The source series      threshold (float) : The threshold for the filter      useRegimeFilter (bool) : Whether to apply the regime filter   Returns: Filtered result indicating whether the signal should be used regime_filter_v2(src, threshold, useRegimeFilter)   Regime filter for filtering signals based on trend strength   Parameters:      src (float) : The source series      threshold (float) : The threshold for the filter      useRegimeFilter (bool) : Whether to apply the regime filter   Returns: Filtered result indicating whether the signal should be used filter_adx(src, length, adxThreshold, useAdxFilter)   ADX filter for filtering signals based on ADX strength   Parameters:      src (float) : The source series      length (simple int) : The length of the ADX calculation      adxThreshold (int) : The ADX threshold      useAdxFilter (bool) : Whether to apply the ADX filter   Returns: Filtered result indicating whether the signal should be used filter_volatility(minLength, maxLength, useVolatilityFilter)   Volatility filter for filtering signals based on volatility   Parameters:      minLength (simple int) : The minimum length for ATR calculation      maxLength (simple int) : The maximum length for ATR calculation      useVolatilityFilter (bool) : Whether to apply the volatility filter   Returns: Filtered result indicating whether the signal should be used filter_ulcer(src, length, ulcerThreshold, useUlcerFilter)   Ulcer Index filter for filtering signals based on Ulcer Index   Parameters:      src (float) : The source series      length (int) : The length of the Ulcer Index calculation      ulcerThreshold (float) : The Ulcer Index threshold (default: average Ulcer Index)      useUlcerFilter (bool) : Whether to apply the Ulcer Index filter   Returns: Filtered result indicating whether the signal should be used filter_stddev(src, length, stdDevThreshold, useStdDevFilter)   Standard Deviation filter for filtering signals based on Standard Deviation   Parameters:      src (float) : The source series      length (int) : The length of the Standard Deviation calculation      stdDevThreshold (float) : The Standard Deviation threshold (default: average Standard Deviation)      useStdDevFilter (bool) : Whether to apply the Standard Deviation filter   Returns: Filtered result indicating whether the signal should be used filter_macdv(src, shortLength, longLength, signalSmoothing, macdVThreshold, useMacdVFilter)   MACD-V filter for filtering signals based on MACD-V   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for MACD calculation      longLength (simple int) : The long length for MACD calculation      signalSmoothing (simple int) : The signal smoothing length for MACD      macdVThreshold (float) : The MACD-V threshold (default: average MACD-V)      useMacdVFilter (bool) : Whether to apply the MACD-V filter   Returns: Filtered result indicating whether the signal should be used filter_atr(length, atrThreshold, useAtrFilter)   ATR filter for filtering signals based on Average True Range (ATR)   Parameters:      length (simple int) : The length of the ATR calculation      atrThreshold (float) : The ATR threshold (default: average ATR)      useAtrFilter (bool) : Whether to apply the ATR filter   Returns: Filtered result indicating whether the signal should be used filter_candle_body_and_atr(length, bodyThreshold, atrThreshold, useFilter)   Candle Body and ATR filter for filtering signals   Parameters:      length (simple int) : The length of the ATR calculation      bodyThreshold (float) : The threshold for candle body size (relative to ATR)      atrThreshold (float) : The ATR threshold (default: average ATR)      useFilter (bool) : Whether to apply the candle body and ATR filter   Returns: Filtered result indicating whether the signal should be used filter_atrp(length, atrpThreshold, useAtrpFilter)   ATRP filter for filtering signals based on ATR Percentage (ATRP)   Parameters:      length (simple int) : The length of the ATR calculation      atrpThreshold (float) : The ATRP threshold (default: average ATRP)      useAtrpFilter (bool) : Whether to apply the ATRP filter   Returns: Filtered result indicating whether the signal should be used filter_jma(src, length, phase, useJmaFilter)   Parameters:      src (float)      length (simple int)      phase (float)      useJmaFilter (bool) filter_cidi(src, rsiLength, shortMaLength, longMaLength, useCidiFilter)   Parameters:      src (float)      rsiLength (simple int)      shortMaLength (int)      longMaLength (int)      useCidiFilter (bool) filter_rsi(src, length, rsiThreshold, useRsiFilter)   Parameters:      src (float)      length (simple int)      rsiThreshold (float)      useRsiFilter (bool) filter_ichimoku_oscillator(length, threshold, useFilter)   Ichimoku Oscillator filter for filtering signals based on Ichimoku Oscillator   Parameters:      length (int) : The length of the Ichimoku Oscillator calculation      threshold (float) : The threshold for the filter (default: average Ichimoku Oscillator)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_cmb_composite_index(src, shortLength, longLength, threshold, useFilter)   CMB Composite Index filter for filtering signals based on CMB Composite Index   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for CMB calculation      longLength (simple int) : The long length for CMB calculation      threshold (float) : The threshold for the filter (default: average CMB Composite Index)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_connors_rsi(src, rsiLength, rocLength, streakLength, threshold, useFilter)   Connors RSI filter for filtering signals based on Connors RSI   Parameters:      src (float) : The source series      rsiLength (simple int) : The length for RSI calculation      rocLength (int) : The length for ROC calculation      streakLength (simple int) : The length for streak calculation      threshold (float) : The threshold for the filter (default: average Connors RSI)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_coppock_curve(src, roc1Length, roc2Length, wmaLength, threshold, useFilter)   Coppock Curve filter for filtering signals based on Coppock Curve   Parameters:      src (float) : The source series      roc1Length (int) : The length for the first ROC calculation      roc2Length (int) : The length for the second ROC calculation      wmaLength (int) : The length for the WMA calculation      threshold (float) : The threshold for the filter (default: average Coppock Curve)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_pmo(src, pmoLength, smoothingLength, threshold, useFilter)   DecisionPoint Price Momentum Oscillator filter for filtering signals based on PMO   Parameters:      src (float) : The source series      pmoLength (simple int) : The length for PMO calculation      smoothingLength (simple int) : The smoothing length for PMO      threshold (float) : The threshold for the filter (default: average PMO Oscillator)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_macd(src, shortLength, longLength, signalSmoothing, threshold, useFilter)   MACD filter for filtering signals based on MACD   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for MACD calculation      longLength (simple int) : The long length for MACD calculation      signalSmoothing (simple int) : The signal smoothing length for MACD      threshold (float) : The threshold for the filter (default: average MACD)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_macd_histogram(src, shortLength, longLength, signalSmoothing, threshold, useFilter)   MACD-Histogram filter for filtering signals based on MACD-Histogram   Parameters:      src (float) : The source series      shortLength (simple int) : The short length for MACD calculation      longLength (simple int) : The long length for MACD calculation      signalSmoothing (simple int) : The signal smoothing length for MACD      threshold (float) : The threshold for the filter (default: average MACD-Histogram)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_kst(src, r1, r2, r3, r4, sm1, sm2, sm3, sm4, signalLength, threshold, useFilter)   Pring's Know Sure Thing filter for filtering signals based on KST   Parameters:      src (float) : The source series      r1 (int) : The first ROC length      r2 (int) : The second ROC length      r3 (int) : The third ROC length      r4 (int) : The fourth ROC length      sm1 (int) : The first smoothing length      sm2 (int) : The second smoothing length      sm3 (int) : The third smoothing length      sm4 (int) : The fourth smoothing length      signalLength (int) : The signal line smoothing length      threshold (float) : The threshold for the filter (default: average KST Oscillator)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_special_k(src, r1, r2, r3, r4, sm1, sm2, sm3, sm4, threshold, useFilter)   Pring's Special K filter for filtering signals based on Special K   Parameters:      src (float) : The source series      r1 (int) : The first ROC length      r2 (int) : The second ROC length      r3 (int) : The third ROC length      r4 (int) : The fourth ROC length      sm1 (int) : The first smoothing length      sm2 (int) : The second smoothing length      sm3 (int) : The third smoothing length      sm4 (int) : The fourth smoothing length      threshold (float) : The threshold for the filter (default: average Special K)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_roc_momentum(src, rocLength, momentumLength, threshold, useFilter)   ROC and Momentum filter for filtering signals based on ROC and Momentum   Parameters:      src (float) : The source series      rocLength (int) : The length for ROC calculation      momentumLength (int) : The length for Momentum calculation      threshold (float) : The threshold for the filter (default: average ROC and Momentum)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_rrg_relative_strength(src, length, threshold, useFilter)   RRG Relative Strength filter for filtering signals based on RRG Relative Strength   Parameters:      src (float) : The source series      length (int) : The length for RRG Relative Strength calculation      threshold (float) : The threshold for the filter (default: average RRG Relative Strength)      useFilter (bool) : Whether to apply the filter   Returns: Filtered result indicating whether the signal should be used filter_alligator(useFilter)   Parameters:      useFilter (bool) filter_wyckoff(useFilter)   Parameters:      useFilter (bool) filter_squeeze_momentum(bbLength, bbStdDev, kcLength, kcMult, useFilter)   Parameters:      bbLength (int)      bbStdDev (float)      kcLength (simple int)      kcMult (float)      useFilter (bool) filter_atr_compression(length, atrThreshold, useFilter)   Parameters:      length (simple int)      atrThreshold (float)      useFilter (bool) filter_low_volume(length, useFilter)   Parameters:      length (int)      useFilter (bool) filter_nvi_accumulation(useFilter)   Parameters:      useFilter (bool) filter_ma_slope(src, length, slopeThreshold, useFilter)   Parameters:      src (float)      length (int)      slopeThreshold (float)      useFilter (bool) filter_adx_low(len, lensig, adxThreshold, useFilter)   Parameters:      len (simple int)      lensig (simple int)      adxThreshold (int)      useFilter (bool) filter_choppiness_index(length, chopThreshold, useFilter)   Parameters:      length (int)      chopThreshold (float)      useFilter (bool) filter_range_detection(length, useFilter)   Parameters:      length (int)      useFilter (bool)
Pine Script® ライブラリ
crypto_pumppppの投稿
Momentum Cloud.V33🌟 Introducing MomentumCloud.V33 🌟 MomentumCloud.V33 is a cutting-edge indicator designed to help traders capture market momentum with clarity and precision. This versatile tool combines moving averages, directional movement indexes (DMI), and volume analysis to provide real-time insights into trend direction and strength. Whether you’re a scalper, day trader, or swing trader, MomentumCloud.V33 adapts to your trading style and timeframe, making it an essential addition to your trading toolkit. 📈💡 🔧 Customizable Parameters: • Moving Averages: Adjust the periods of the fast (MA1) and slow (MA2) moving averages to fine-tune your trend analysis. • DMI & ADX: Customize the DMI length and ADX smoothing to focus on strong, actionable trends. • Volume Multiplier: Modify the cloud thickness based on trading volume, emphasizing trends with significant market participation. 📊 Trend Detection: • Color-Coded Clouds: • Green Cloud: Indicates a strong uptrend, suggesting buying opportunities. • Red Cloud: Indicates a strong downtrend, signaling potential short trades. • Gray Cloud: Reflects a range-bound market, helping you avoid low-momentum periods. • Dynamic Volume Integration: The cloud thickness adjusts dynamically with trading volume, highlighting strong trends supported by high market activity. 📈 Strength & Momentum Analysis: • Strength Filtering: The ADX component ensures that only strong trends are highlighted, filtering out market noise and reducing false signals. • Visual Momentum Gauge: The cloud color and thickness provide a quick visual representation of market momentum, enabling faster decision-making. 🔔 Alerts: • Custom Alerts: Set up alerts for when the trend shifts or reaches critical levels, keeping you informed without needing to constantly monitor the chart. 🎨 Visual Enhancements: • Gradient Cloud & Shadows: The indicator features a gradient-filled cloud with shadowed moving averages, enhancing both aesthetics and clarity on your charts. • Adaptive Visual Cues: MomentumCloud.V33’s color transitions and dynamic thickness provide an intuitive feel for the market’s rhythm. 🚀 Quick Guide to Using MomentumCloud.V33 1. Add the Indicator: Start by adding MomentumCloud.V33 to your chart. Customize the settings such as MA periods, DMI length, and volume multiplier to match your trading style. 2. Analyze the Market: Observe the color-coded cloud and its thickness to gauge market momentum and trend direction. The thicker the cloud, the stronger the trend. 3. Set Alerts: Activate alerts for trend changes or key levels to capture trading opportunities without needing to watch the screen continuously. ⚙️ How It Works: MomentumCloud.V33 calculates market momentum by combining moving averages, DMI, and volume. The cloud color changes based on the trend direction, while its thickness reflects the strength of the trend as influenced by trading volume. This integrated approach ensures you can quickly identify robust market movements, making it easier to enter and exit trades at optimal points. Settings Overview: • Moving Averages: Define the lengths for the fast and slow moving averages. • DMI & ADX: Adjust the DMI length and ADX smoothing to focus on significant trends. • Volume Multiplier: Customize the multiplier to control cloud thickness, highlighting volume-driven trends. 📚 How to Use MomentumCloud.V33: • Trend Identification: The direction and color of the cloud indicate the prevailing trend, while the cloud’s thickness suggests the trend’s strength. • Trade Execution: Use the green cloud to look for long entries and the red cloud for short positions. The gray cloud advises caution, as it represents a range-bound market. • Alerts: Leverage the custom alerts to stay on top of market movements and avoid missing critical trading opportunities. Unleash the power of trend and momentum analysis with MomentumCloud.V33! Happy trading! 📈🚀✨
Pine Script® インジケーター
AR33_の投稿
Session MasterSession Master Indicator Overview The "Session Master" indicator is a unique tool designed to enhance trading decisions by providing visual cues and relevant information during the critical last 15 minutes of a trading session. It also integrates advanced trend analysis using the Average Directional Index (ADX) and Directional Movement Index (DI) to offer insights into market trends and potential entry/exit points. Originality and Functionality This script combines session timing, visual alerts, and trend analysis in a cohesive manner to give traders a comprehensive view of market behavior as the trading day concludes. Here’s a breakdown of its key features: Last 15 Minutes Highlight : The script identifies the last 15 minutes of the trading session and highlights this period with a semi-transparent blue background, helping traders focus on end-of-day price movements. Previous Session High and Low : The script dynamically plots the high and low of the previous trading session. These levels are crucial for identifying support and resistance and are highlighted with dashed lines and labeled for easy identification during the last 15 minutes of the current session. Directional Movement and Trend Analysis : Using a combination of ADX and DI, the script calculates and plots trend strength and direction. A 21-period Exponential Moving Average (EMA) is plotted with color coding (green for bullish and red for bearish) based on the DI difference, offering clear visual cues about the market trend. Technical Explanation Last 15 Minutes Highlight: The script checks the current time and compares it to the session’s last 15 minutes. If within this period, the background color is changed to a semi-transparent blue to alert the trader. Previous Session High and Low: The script retrieves the high and low of the previous daily session. During the last 15 minutes of the session, these levels are plotted as dashed lines and labeled appropriately. ADX and DI Calculation: The script calculates the True Range, Directional Movement (both positive and negative), and smoothes these values over a specified length (28 periods by default). It then computes the Directional Indicators (DI+ and DI-) and the ADX to gauge trend strength. The 21-period EMA is plotted with dynamic color changes based on the DI difference to indicate trend direction. How to Use Highlight Key Moments: Use the blue background highlight to concentrate on market movements in the critical last 15 minutes of the trading session. Identify Key Levels: Pay attention to the plotted high and low of the previous session as they often act as significant support and resistance levels. Assess Trend Strength: Use the ADX and DI values to understand the strength and direction of the market trend, aiding in making informed trading decisions. EMA for Entry/Exit: Use the color-coded 21-period EMA for potential entry and exit signals based on the trend direction indicated by the DI. Conclusion The "Session Master" indicator is a powerful tool designed to help traders make informed decisions during the crucial end-of-session period. By combining session timing, previous session levels, and advanced trend analysis, it provides a comprehensive overview that is both informative and actionable. This script is particularly useful for intraday traders looking to optimize their strategies around session close times.
Pine Script® インジケーター
TradingConTotoの投稿
1
Adaptive Price Channel StrategyThis strategy is an adaptive price channel strategy based on the Average True Range (ATR) indicator and the Average Directional Index (ADX). It aims to identify sideways markets and trends in the price movements and make trades accordingly. The strategy uses a length parameter for the ATR and ADX indicators, which determines the length of the calculation for these indicators. The strategy also uses an ATR multiplier, which is multiplied by the ATR to determine the upper and lower bounds of the price channel. The first step of the strategy is to calculate the highest high (HH) and lowest low (LL) over the specified length. The ATR is also calculated over the same length. Then the strategy calculates the positive directional indicator (+DI) and negative directional indicator (-DI) based on the up and down moves in the price, and uses these to calculate the ADX. If the ADX is less than 25, the market is considered to be in a sideways phase. In this case, if the price closes above the upper bound of the price channel (HH - ATR multiplier * ATR), the strategy enters a long position, and if the price closes below the lower bound of the price channel (LL + ATR multiplier * ATR), the strategy enters a short position. If the ADX is greater than or equal to 25 and the +DI is greater than the -DI, the market is considered to be in a bullish phase. In this case, if the price closes above the upper bound of the price channel, the strategy enters a long position. If the ADX is greater than or equal to 25 and the +DI is less than the -DI, the market is considered to be in a bearish phase. In this case, if the price closes below the lower bound of the price channel, the strategy enters a short position. The strategy exits a position after a certain number of bars have passed since the entry, as specified by the exit_length input. In summary, this strategy attempts to trade in accordance with the prevailing market conditions by identifying sideways markets and trends and making trades based on price movements within a dynamically-adjusted price channel. This strategy takes a read on the market and either takes a channel strategy or trades volatility based on current trend. Works well on 2, 3 ,4, 12 hour for BTC. It’s my first attempt and creating a strategy. I am very interested in constructive criticism. I will look into better risk management, maybe a trailing stop loss. Other suggestions welcome. This is my first attempt at a strategy. Here are the settings I used. Inputs Length 20 Exit 10 ATR 3.2 Dates I picked when I got into Crypto Properties Capital 1000 Order size 2 Contracts Pyramiding 1 Commission .05
Pine Script® ストラテジー
HomeCryptoTraderの投稿
1
AdxCalcHourlyLibrary "AdxCalcHourly" getBars()   getBars: Returns the number of bars to use in the historical lookback period   Returns: simple int directionDown()   directionDown: Calculates the direction down for bar_index   Returns: series float directionUp()   directionUp: Calculates the direction up for bar_index   Returns: series float trueRangeMovingAverage()   trueRangeMovingAverage: Calculates the true range moving average over the historical lookback period   Returns: series float positiveDirectionalMovement()   positiveDirectionalMovement: Calculates the positive direction movement for bar_index   Returns: series float negativeDirectionalMovement()   negativeDirectionalMovement: Calculates the begative direction movement for bar_index   Returns: series float totalDirectionDown()   totalDirectionDown: Calculates the total direction down for the historical lookback period   Returns: series float totalDirectionUp()   totalDirectionUp: Calculates the total direction up for the historical lookback period   Returns: series float totalDirection()   totalDirection: Calculates the total direction movement for the historical lookback period   Returns: series float averageDirectionalIndex()   averageDirectionalIndex: Calculates the average directional index (ADX) based on the trend for the historical lookback period   Returns: series float getAdxHistoricalAverage()   getAdxHistoricalAverage: Calculates the average directional index (ADX) for the historical lookback period   Returns: series float getAdxHistoricalHigh()   getAdxHistoricalHigh: Calculates the historical high of the directional index (ADX) for the historical lookback period   Returns: series float getAdxHistoricalLow()   getAdxHistoricalLow: Calculates the historical low of the directional index (ADX) for the historical lookback period   Returns: series float getAdxOpinion()   getAdxOpinion: Calculatesa recomendation for the directional index (ADX) based on the historical lookback period   Returns: series float
Pine Script® ライブラリ
antifragileerの投稿
Adaptive Average Vortex Index [lastguru]As a longtime fan of ADX, looking at Vortex Indicator I often wondered, where is the third line. I have rarely seen that anybody is calculating it. So, here it is: Average Vortex Index - an ADX calculated from Vortex Indicator. I interpret it similarly to the ADX indicator: higher values show stronger trend. If you discover other interpretation or have suggestions, comments are welcome. Both VI+ and VI- lines are also drawn. As I use adaptive length calculation in my other scripts (based on the libraries I've developed and published), I have also included the possibility to have an adaptive length here, so if you hate the idea of calculating ADX from VI, you can disable that line and just look at the adaptive Vortex Indicator. Note that as with all my oscillators, all the lines here are renormalized to -1..1 range unlike the original Vortex Indicator computation. To do that for VI+ and VI- lines, I subtract 1 from their values. It does not change the shape or the amplitude of the lines. Adaptation algorithms are roughly subdivided in two categories: classic Length Adaptations and Cycle Estimators (they are also implemented in separate libraries), all are selected in Adaptation dropdown. Length Adaptation used in the Adaptive Moving Averages and the Adaptive Oscillators try to follow price movements and accelerate/decelerate accordingly (usually quite rapidly with a huge range). Cycle Estimators, on the other hand, try to measure the cycle period of the current market, which does not reflect price movement or the rate of change (the rate of change may also differ depending on the cycle phase, but the cycle period itself usually changes slowly). VIDYA - based on VIDYA algorithm. The period oscillates from the Lower Bound up (slow) VIDYA-RS - based on Vitali Apirine's modification of VIDYA algorithm (he calls it Relative Strength Moving Average). The period oscillates from the Upper Bound down (fast) Kaufman Efficiency Scaling - based on Efficiency Ratio calculation originally used in KAMA Fractal Adaptation - based on FRAMA by John F. Ehlers MESA MAMA Cycle - based on MESA Adaptive Moving Average by John F. Ehlers Pearson Autocorrelation* - based on Pearson Autocorrelation Periodogram by John F. Ehlers DFT Cycle* - based on Discrete Fourier Transform Spectrum estimator by John F. Ehlers Phase Accumulation* - based on Dominant Cycle from Phase Accumulation by John F. Ehlers Length Adaptation usually take two parameters: Bound From (lower bound) and To (upper bound). These are the limits for Adaptation values. Note that the Cycle Estimators marked with asterisks(*) are very computationally intensive, so the bounds should not be set much higher than 50, otherwise you may receive a timeout error (also, it does not seem to be a useful thing to do, but you may correct me if I'm wrong). The Cycle Estimators marked with asterisks(*) also have 3 checkboxes: HP (Highpass Filter), SS (Super Smoother) and HW (Hann Window). These enable or disable their internal prefilters, which are recommended by their author - John F. Ehlers . I do not know, which combination works best, so you can experiment. If no Adaptation is selected ( None option), you can set Length directly. If an Adaptation is selected, then Cycle multiplier can be set. The oscillator also has the option to configure the internal smoothing function with Window setting. By default, RMA is used (like in ADX calculation). Fast Default option is using half the length for smoothing. Triangle , Hamming and Hann Window algorithms are some better smoothers suggested by John F. Ehlers. After the oscillator a Moving Average can be applied. The following Moving Averages are included: SMA , RMA, EMA , HMA , VWMA , 2-pole Super Smoother, 3-pole Super Smoother, Filt11, Triangle Window, Hamming Window, Hann Window, Lowpass, DSSS. Postfilter options are applied last: Stochastic - Stochastic Super Smooth Stochastic - Super Smooth Stochastic (part of MESA Stochastic ) by John F. Ehlers Inverse Fisher Transform - Inverse Fisher Transform Noise Elimination Technology - a simplified Kendall correlation algorithm "Noise Elimination Technology" by John F. Ehlers Momentum - momentum (derivative) Except for Inverse Fisher Transform , all Postfilter algorithms can have Length parameter. If it is not specified (set to 0), then the calculated Slow MA Length is used. If Filter/MA Length is less than 2 or Postfilter Length is less than 1, they are calculated as a multiplier of the calculated oscillator length. More information on the algorithms is given in the code for the libraries used. I am also very grateful to other TradingView community members (they are also mentioned in the library code) without whom this script would not have been possible.
Pine Script® インジケーター
lastguruの投稿
5
Mawreez' Trend OscillatorA positive reading indicates an uptrend, a negative reading indicates a downtrend. For an uptrend, increasing values indicate that the trend is sustaining or strengthening while decreasing values indicate that the trend is stagnating or weakening. Vice versa for a downtrend. When the indicator reads 0, the price is not trending. This indicator is based on the existing DMI indicator, but familiarity with the DMI is not required. The author's goal was to make a less laggy, more intuitively interpretable indicator compared to the DMI. A comparison to the DMI is given above. The reader may see for themselves that trends are recognized quicker. A technical rundown of adjustments made to the DMI is given below. Instead of interpreting the ADX, a sensitivity setting is added and its default value is 25. The value of this sensitivity setting is subtracted from the ADX. Then, any ADX values which fell below 0 are set to 0. Now, just flip the value of the ADX when the -DI is greater than the +DI. The result is then plotted as a histogram. In addition, this indicator has less lag between price action and trend recognition. This is achieved by removing the EMA applied to the ADX, and instead applying lag-free smoothing to +DI and -DI before computing the ADX and then once more applying lag-free smoothing to the result of the computation.
Pine Script® インジケーター
Mawreezの投稿
1
Combo Backtest 123 Reversal and ADXR This is combo strategies for get a cumulative signal. Result signal will return 1 if two strategies is long, -1 if all strategies is short and 0 if signals of strategies is not equal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Secon strategy The Average Directional Movement Index Rating (ADXR) measures the strength of the Average Directional Movement Index (ADX). It's calculated by taking the average of the current ADX and the ADX from one time period before (time periods can vary, but the most typical period used is 14 days). Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening and weakening trends. However, because it represents an average of ADX, values don't fluctuate as dramatically and some analysts believe the indicator helps better display trends in volatile markets. WARNING: - For purpose educate only - This script to change bars colors.
Pine Script® ストラテジー
HPotterの投稿
2
Average Directional Movement Index Rating Backtest The Average Directional Movement Index Rating (ADXR) measures the strength of the Average Directional Movement Index (ADX). It's calculated by taking the average of the current ADX and the ADX from one time period before (time periods can vary, but the most typical period used is 14 days). Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening and weakening trends. However, because it represents an average of ADX, values don't fluctuate as dramatically and some analysts believe the indicator helps better display trends in volatile markets. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
Pine Script® ストラテジー
HPotterの投稿
Average Directional Movement Index Rating Strategy The Average Directional Movement Index Rating (ADXR) measures the strength of the Average Directional Movement Index (ADX). It's calculated by taking the average of the current ADX and the ADX from one time period before (time periods can vary, but the most typical period used is 14 days). Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening and weakening trends. However, because it represents an average of ADX, values don't fluctuate as dramatically and some analysts believe the indicator helps better display trends in volatile markets. WARNING: - This script to change bars colors.
Pine Script® インジケーター
HPotterの投稿
Average Directional Movement Index Rating The Average Directional Movement Index Rating (ADXR) measures the strength of the Average Directional Movement Index (ADX). It's calculated by taking the average of the current ADX and the ADX from one time period before (time periods can vary, but the most typical period used is 14 days). Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening and weakening trends. However, because it represents an average of ADX, values don't fluctuate as dramatically and some analysts believe the indicator helps better display trends in volatile markets.
Pine Script® インジケーター
HPotterの投稿
2
Beast Mode Adaptive Oscillator V6⭐ Beast Mode Adaptive Oscillator V6 Description (Copy/Paste for Publishing) Beast Mode Adaptive Oscillator V6 is a high-precision, regime-aware momentum engine that adapts dynamically to market conditions. It blends ADX-based market regime filtering, StochRSI adaptive oscillation, and ATR-driven signal validation to deliver a powerful, low-noise, context-smart oscillator. Instead of giving the same overbought/oversold signals in every environment, this oscillator changes its behavior depending on market regime: Market Regime Filter (MRF) Automatically detects: ✔ Strong Bull Trend ✔ Strong Bear Trend ✔ Ranging Bull ✔ Ranging Bear ✔ Noise / Low-Volatility Environment ADX + DI structure determines how aggressive or conservative the oscillator becomes. Adaptive Regime Oscillator (ARO) A smart StochRSI core whose OB/OS levels shift depending on trend regime: • In strong trends → wider OB/OS bands (10–90) • In ranges → tighter, mean-reverting bands (20–80) • Higher accuracy and fewer false reversals Price/Volatility Control (PVC) Built-in ATR risk modules: • ATR-based stop zones • ATR-based target zones • Internal validation to confirm signal strength Optional Visual Aids • Entry signal markers • Regime bar at the bottom of the chart • ADX line display • Custom colors for trend strength What This Indicator Is Best At • Avoiding bad signals during chop • Catching trend continuation entries • Identifying exhaustion points in strong moves • Adapting OB/OS logic to match volatility • Confirming strength with ADX + DI structure Perfect For • Intraday traders • Swing traders • Trend traders • Mean-reversion setups • Volatility-based strategies This is a complete adaptive oscillator system designed to stay accurate across every market condition.
Pine Script® インジケーター
Timmy741の投稿
Grok/Claude Quantum Signal Pro * Grok/Claude X Series*Grok/Claude Quantum Signal Pro This is a TradingView indicator focused on catching momentum reversals at price extremes, with a sophisticated divergence detection system as its standout feature. The "Quantum" branding is marketing flair — under the hood, it's a well-structured combination of momentum oscillators, volatility bands, and divergence analysis working together to identify high-probability turning points. Core Philosophy The indicator asks: "Is price at an extreme level where momentum is exhausted, and is there evidence that a reversal or continuation is likely?" It approaches this by requiring multiple confirming factors before generating a signal. Price must be at a band extreme, momentum indicators must be at extreme readings, and the market must be trending (not choppy). Optionally, it can also require RSI divergence and volume confirmation. The Dynamic Envelope Bands The foundation is an adaptive channel built around a moving average (EMA or SMA, user's choice). The bands extend above and below this centerline using ATR (Average True Range) multiplied by a dynamic factor. What makes these bands "adaptive" is that the multiplier adjusts based on ADX — when trends are stronger, the bands widen to accommodate larger directional moves. In weaker trend environments, the bands stay tighter. This helps the bands stay relevant across different market conditions rather than being too loose in quiet markets or too tight during volatile trends. The centerline itself is color-coded based on its slope: green when rising, red when falling, yellow when flat. This gives immediate visual feedback on short-term directional bias. The Multi-Layer Filter System Signals must pass through several filters before being displayed. Here's what each filter does: FilterWhat It ChecksDefault StateADX TrendingIs ADX above threshold (20)? Avoids signals in choppy, directionless marketsRequired (always on)RSI ExtremesIs RSI oversold (<30) for buys, overbought (>70) for sells?Required (always on)Fisher TransformIs Fisher below -2.0 for buys, above +2.0 for sells? Confirms momentum exhaustionRequired (always on)Trend AlignmentIs price above/below the trend EMA in the right direction?Optional (off by default)Volume SurgeIs current volume significantly above average?Optional (off by default)DivergenceIs there an active RSI divergence pattern?Optional (off by default) The Fisher Transform The Fisher Transform is a lesser-known oscillator that converts price into a Gaussian normal distribution, making extreme values much more pronounced. When Fisher readings hit +2.0 or -2.0, it indicates statistically significant momentum exhaustion. By requiring both RSI and Fisher to be at extremes simultaneously, the indicator filters out many false signals that would occur using just one oscillator. The Detrended Price Oscillator (DPO) The indicator also calculates DPO, which removes the trend component from price to show where current price sits relative to a historical average. This is displayed in the info panel as a percentage — positive values mean price is extended above its typical level, negative values mean it's extended below. This helps gauge how "stretched" price is from its mean. RSI Divergence Detection — The Core Feature This is where the indicator really shines. It detects both regular divergences (reversal signals) and hidden divergences (continuation signals). Regular Divergences Regular divergences suggest potential reversals: Regular Bullish Divergence: Price makes a lower low, but RSI makes a higher low. This indicates that despite price falling further, selling momentum is actually weakening — a potential bottom signal. These are marked with cyan/light blue solid lines on the chart. Regular Bearish Divergence: Price makes a higher high, but RSI makes a lower high. Despite price rising further, buying momentum is weakening — a potential top signal. Also marked with cyan solid lines. Hidden Divergences Hidden divergences suggest trend continuation (often overlooked by traders): Hidden Bullish Divergence: Price makes a higher low, but RSI makes a lower low. The uptrend is healthy (higher lows in price), but RSI dipped lower, creating a "hidden" bullish setup that often precedes another leg up. Marked with purple dashed lines. Hidden Bearish Divergence: Price makes a lower high, but RSI makes a higher high. The downtrend structure is intact, but RSI bounced higher, suggesting another leg down is coming. Also marked with purple dashed lines. The divergence detection uses pivot points (local highs and lows) to identify the comparison points. Users can adjust the pivot lookback (how many bars to use for pivot identification) and the maximum lookback window for finding divergence pairs. Signal Generation Logic A buy signal fires when all these conditions align: Market is trending (ADX above threshold) RSI is in oversold territory (below 30) Fisher Transform is oversold (below -2.0) Plus any optional filters that are enabled A sell signal requires the mirror conditions: trending market, overbought RSI (above 70), and overbought Fisher (above +2.0). There's also a cooldown mechanism requiring at least 5 bars between signals to prevent clustering. Visual Elements The indicator provides layered visual information: Adaptive bands with color-coded centerline (green/red/yellow based on slope) Cloud fill between bands, colored by trend direction Signal arrows (triangles) at entry points Price labels showing exact entry price at each signal Divergence lines connecting the pivot points that form the divergence pattern Divergence labels ("REG BULL", "HID BEAR", etc.) with tooltips explaining what each pattern means Info panel showing current status of all indicators and any active divergences The Info Panel The top-right panel displays real-time status for all the indicator components. Each row is color-coded to show whether that factor is currently bullish, bearish, or neutral. The last two rows specifically track whether regular and hidden divergences are currently active, making it easy to see at a glance if a divergence pattern has recently formed. Alert System The indicator includes a comprehensive alert system covering not just buy/sell signals, but also "setup building" conditions (when RSI and Fisher are at extremes but ADX hasn't confirmed yet), market regime changes (trending to ranging and vice versa), and individual divergence detections for all four types. Summary This indicator is designed for traders who want to catch reversals at price extremes with multiple layers of confirmation. Its strength lies in the divergence detection system, which identifies both potential reversals and trend continuation setups. The modular filter system lets users dial in their preferred level of strictness — from the default configuration that requires just the core filters, to a highly selective mode requiring trend alignment, volume confirmation, and divergence all at once. It's best suited for swing trading or identifying key turning points on higher timeframes.
Pine Script® インジケーター
ralis24の投稿
EMA Trend Pro [Hedging & Fixed Risk] This strategy is a comprehensive trend-following system designed to capture significant market movements while strictly managing risk. It combines multiple Exponential Moving Averages (EMAs) for trend identification, ADX for trend strength filtering, and Volume confirmation to reduce false signals. Key Features: Hedging Mode Compatible: The script is designed to handle Long and Short positions independently. This is ideal for markets where trends can reverse quickly or for traders who prefer hedging logic (requires hedging=true in strategy settings). Professional Risk Management: Unlike standard strategies that use fixed contract sizes, this script calculates Position Size based on Risk. You can define a fixed risk per trade (e.g., 1% of equity or $100 fixed risk). The script automatically adjusts the lot size based on the Stop Loss distance (ATR). Multi-Stage Take Profit: The strategy scales out positions at 3 different levels (TP1, TP2, TP3) to lock in profits while letting the remaining position ride the trend. Strategy Logic: Trend Identification: Long Entry: EMA 7 > EMA 14 > EMA 21 > EMA 144 (Bullish Alignment). Short Entry: EMA 7 < EMA 14 < EMA 21 < EMA 144 (Bearish Alignment). Filters: ADX Filter: Entries are only taken if ADX (14) > Threshold (default 20) to ensure the market is trending, avoiding chopping ranging markets. Volume Filter: Current volume must exceed the 20-period SMA volume by 10% to confirm momentum. Exits & Trade Management: Stop Loss: Dynamic SL based on ATR (e.g., 1.8x ATR). Breakeven: Once TP1 is hit, the Stop Loss is automatically moved to Breakeven to protect capital. Take Profits: TP1: 1x Risk Distance (30% pos) TP2: 2x Risk Distance (50% pos) TP3: 3x Risk Distance (Remaining pos) Settings Guide: Risk Type: Choose between "Percent" (of equity) or "Fixed Amount" (USD). Risk Value: Input your desired risk (e.g., 1.0 for 1% risk). Fee %: Set your exchange's Taker fee (e.g., 0.05 or 0.06) for accurate backtesting. ADX Threshold: Adjust to filter out noise (Higher = Stricter trend requirement). Disclaimer: This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Please use proper risk management.
Pine Script® ストラテジー
misusuの投稿
Universal Scalper Indicator [Crypto/Forex/Gold]Universal Scalper Pro is an all-in-one scalping system designed for the 15-Minute Timeframe. It automates the analysis of trend, volatility, and risk management into a single, high-contrast dashboard. Unlike standard crossover indicators, this system filters out low-volatility "noise" using a built-in ADX engine and automatically calculates dynamic Stop Loss and Take Profit levels based on market volatility (ATR). It is engineered to work universally on: Crypto (BTC, ETH, SOL, Altcoins) Commodities (Gold, Silver, Oil) Forex (Major & Minor Pairs) Stocks (High volume tech stocks like NVDA, TSLA) 📈 How It Works (The Strategy) 1. The Trend Engine (9/21 EMA) The core logic utilizes a Fast (9) and Slow (21) Exponential Moving Average crossover. Bullish Signal: The 9 EMA crosses above the 21 EMA. Bearish Signal: The 9 EMA crosses below the 21 EMA. This specific combination is chosen for its responsiveness to 15-minute intraday trends. 2. The Noise Filter (ADX > 15) To prevent "whipsaws" (fake signals during sideways markets), the script includes a Volatility Filter based on the Average Directional Index (ADX). Signals are rejected if the ADX is below 15. This ensures you only receive alerts when there is sufficient momentum to sustain a move. 3. Dynamic Risk Management (ATR) The script uses the Average True Range (ATR) to calculate Stop Loss and Take Profit levels that adapt to the specific asset's volatility. Stop Loss: Placed at 1.5x ATR from the entry. (Tight enough to preserve capital, wide enough to survive standard market noise). Take Profit: Placed at 2.0x ATR from the entry. (Provides a healthy 1:1.3 Risk/Reward ratio). 🚀 Key Features Universal Dashboard: A bottom-right panel displays the live Trend Status, Entry Price, Stop Loss, and Take Profit. It automatically formats decimals for any asset (e.g., 2 decimals for Gold, 5 for Forex, 8 for Crypto). "Sticky" Memory: The dashboard retains the prices of the last valid signal, allowing you to manage your trade even after the signal candle closes. Trend Cloud: A visual Green/Red zone between the EMAs helps you instantly identify the market bias. Unified Alerts: A single alert setup ("Any alert() function call") sends the Asset Name, Entry, SL, and TP directly to your phone. 🛠️ How to Use Timeframe: Set your chart to 15 Minutes (15m). Wait for the Signal: Look for the "BUY" (Green) or "SELL" (Red) label on the chart. Check the Dashboard: Ensure the "STATUS" is BULLISH (for buys) or BEARISH (for sells). If the status says "WAIT", do not trade. Execute: Enter the trade using the exact Stop Loss and Take Profit levels shown on the dashboard. ⚠️ Risk Disclaimer Trading financial markets involves high risk and may not be suitable for all investors. This indicator is a technical analysis tool and does not constitute financial advice. Past performance is not indicative of future results. Always practice with a demo account before trading real capital.
Pine Script® インジケーター
billal-kashifの投稿
Indicator Overview主力籌碼預判買賣力道 (JUMBO)Pro+ 2.0主力預判買賣力道 Pro+ 是一個先進的多維度交易分析系統，專為台灣股市投資者設計。本指標整合了趨勢、成交量、動量、價格位置和波動率五大維度，通過加權評分系統生成綜合的「Power指標」，精準預判主力資金動向。 🔧 核心技術架構 1. 多維度評分系統 趨勢維度 (30%)：雙EMA系統 + MACD + ADX趨勢強度 成交量維度 (25%)：OBV能量潮 + 成交量比率分析 動量維度 (20%)：RSI + MFI資金流量指標 價格位置維度 (20%)：VWAP + 布林通道位置分析 波動率維度 (5%)：ATR波動率調整 2. 多重確認機制 趨勢確認：EMA金叉/死叉 + 超級趨勢方向 成交量確認：成交量脈衝檢測 + OBV趨勢確認 動量確認：RSI超買超賣 + MFI資金流向 位置確認：布林通道位置 + VWAP相對位置 📊 主要功能特色 訊號系統 主力佈局訊號 🟥 趨勢多頭確認 + Power > 35 成交量放大 + 動量指標多頭 RSI未超買 + 價格突破基準 主力出貨訊號 🟩 趨勢空頭確認 + Power < -35 成交量異常 + 動量指標空頭 RSI未超賣 + 價格跌破基準 Power交叉訊號 🟠🔵 黃金交叉：Power線向上穿越Power MA線 死亡交叉：Power線向下穿越Power MA線 視覺化系統 台灣股市顏色標準：紅色上漲/多頭，綠色下跌/空頭 多層級K線著色：強力訊號→普通訊號→偏多偏空→盤整 智能資訊面板：實時顯示8大關鍵指標狀態 ⚙️ 參數設定說明 主要參數 EMA週期：13/55（短期/長期） Power閾值：35（靈敏度調整） 成交量濾波：1.2倍（異常成交量檢測） 超級趨勢：10週期/3倍數（趨勢過濾） 進階參數 布林通道：20週期/2倍標準差 波動率設定：14週期ATR 動量指標：14週期RSI/MFI 🎯 交易應用策略 進場時機 強力買入：🔥標記 + Power黃金交叉 常規買入：紅色向上箭頭 + Power > 35 確認買入：多重條件同時滿足 出場時機 強力賣出：💧標記 + Power死亡交叉 常規賣出：綠色向下箭頭 + Power < -35 風險控制：趨勢反轉 + 動量減弱 風險管理 止損設定：ATR波動率參考 倉位控制：Power數值強度分級 訊號過濾：ADX趨勢強度確認 📈 指標優勢 高準確率：多重條件過濾，減少假訊號 及時性：領先指標預判主力動向 完整性：涵蓋技術分析主要維度 用戶友好：直觀的視覺化設計 自定義：參數可調適應不同交易風格 🎯 Indicator Overview Main Force Prediction Buying/Selling Strength Pro+ is an advanced multi-dimensional trading analysis system specifically designed for Taiwan stock market investors. This indicator integrates five key dimensions: trend, volume, momentum, price position, and volatility, generating a comprehensive "Power Indicator" through a weighted scoring system to accurately predict institutional fund movements. 🔧 Core Technical Architecture 1. Multi-Dimensional Scoring System Trend Dimension (30%): Dual EMA system + MACD + ADX trend strength Volume Dimension (25%): OBV accumulation + Volume ratio analysis Momentum Dimension (20%): RSI + MFI money flow index Price Position Dimension (20%): VWAP + Bollinger Bands position analysis Volatility Dimension (5%): ATR volatility adjustment 2. Multi-Confirmation Mechanism Trend Confirmation: EMA golden/death cross + SuperTrend direction Volume Confirmation: Volume spike detection + OBV trend confirmation Momentum Confirmation: RSI overbought/oversold + MFI money flow Position Confirmation: Bollinger Bands position + VWAP relative position 📊 Key Features Signal System Institutional Accumulation Signals 🟥 Bullish trend confirmation + Power > 35 Volume expansion + Momentum indicators bullish RSI not overbought + Price breakthrough baseline Institutional Distribution Signals 🟩 Bearish trend confirmation + Power < -35 Abnormal volume + Momentum indicators bearish RSI not oversold + Price breakdown below baseline Power Cross Signals 🟠🔵 Golden Cross: Power line crosses above Power MA line Death Cross: Power line crosses below Power MA line Visualization System Taiwan Market Color Standard: Red for uptrend/bullish, Green for downtrend/bearish Multi-level Candlestick Coloring: Strong signals → Regular signals → Bias signals → Consolidation Smart Info Panel: Real-time display of 8 key indicator statuses ⚙️ Parameter Settings Main Parameters EMA Periods: 13/55 (Short-term/Long-term) Power Threshold: 35 (Sensitivity adjustment) Volume Filter: 1.2x (Abnormal volume detection) SuperTrend: 10 period/3 multiplier (Trend filtering) Advanced Parameters Bollinger Bands: 20 period/2 standard deviations Volatility Settings: 14 period ATR Momentum Indicators: 14 period RSI/MFI 🎯 Trading Application Strategies Entry Timing Strong Buy: 🔥 Mark + Power Golden Cross Regular Buy: Red upward arrow + Power > 35 Confirmed Buy: Multiple conditions simultaneously met Exit Timing Strong Sell: 💧 Mark + Power Death Cross Regular Sell: Green downward arrow + Power < -35 Risk Control: Trend reversal + Momentum weakening Risk Management Stop Loss Setting: ATR volatility reference Position Sizing: Power value strength grading Signal Filtering: ADX trend strength confirmation 📈 Indicator Advantages High Accuracy: Multiple condition filtering reduces false signals Timeliness: Leading indicators predict institutional movements Completeness: Covers main dimensions of technical analysis User-Friendly: Intuitive visualization design Customizable: Adjustable parameters adapt to different trading styles 🔍 Professional Usage Tips Trend Confirmation: Use in conjunction with major trend direction Volume Validation: Ensure volume confirms price movements Risk Management: Always use appropriate position sizing Timeframe Analysis: Apply across multiple timeframes for confirmation Market Context: Consider overall market conditions and sector rotation 版本: Pro+ 2.0 適用市場: 台股、亞股、全球股市 最佳時間框架: 日線、4小時線、1小時線 開發者: JUMBO Trading System 更新日期: 2025版本
Pine Script® インジケーター
jumbozipの投稿
BB SPY Mean Reversion Investment StrategySummary Mean reversion first, continuation second. This strategy targets equities and ETFs on daily timeframes. It waits for price to revert from a Bollinger location with candle and EMA agreement, then manages risk with ATR based exits. Uniqueness comes from two elements working together. One, an adaptive band multiplier driven by volatility of volatility that expands or contracts the envelope as conditions change. Two, a bias memory that re arms the same direction after any stop, target, or time exit until a true opposite signal appears. Add it to a clean chart, use the markers and levels, and select on bar close for conservative alerts. Shapes can move while the bar is open and settle on close. Scope and intent • Markets. Currently adapted for SPY, needs to be optimized for other assets • Timeframes. Daily primary. Other frames are possible but not the default • Default demo. SPY on daily • Purpose. Trade mean reversion entries that can chain into a longer swing by splitting holds into ATR or time segments Originality and usefulness • Novelty. Adaptive band width from volatility of volatility plus a persistent bias array that keeps the original direction alive across sequential entries until an opposite setup is confirmed • Failure modes mitigated. False starts in chop are reduced by candle color and EMA location. Missed continuation after a take profit or stop is addressed by the re arm engine. Oversized envelopes during quiet regimes are avoided by the adaptive multiplier • Testability. Every module has Inputs and visible levels so users can see why a suggestion appears • Portable yardstick. All risk and targets are expressed in ATR units Method overview in plain language The engine measures where price sits relative to Bollinger bands, confirms with candle color and EMA location, requires ADX for shorts(in our case long close since we use it currently as long only), and optionally requires a trend or mean reversion regime using band width percent rank and basis slope. Risk uses ATR for stop, target, and optional breakeven. A small array stores the last confirmed direction. While flat, the engine keeps a pending order in that direction. The array flips only when a true opposite setup appears. Base measures • Range basis. True Range smoothed over a user defined ATR Length • Return basis. Not required Components • Bollinger envelope. SMA length and standard deviation multiplier. Entry is based on cross of close through the band with location bias • Candle and EMA filter. Close relative to open and close relative to EMA align direction • ADX gate for shorts. Requires minimum trend strength for short trades • Adaptive multiplier. Band width scales using volatility of volatility so envelopes breathe with conditions • Regime gate optional. Band width percent rank and basis slope identify trend or mean reversion regimes • Risk manager. ATR stop, ATR target, optional breakeven, optional time exit • Bias memory. Array stores last confirmed direction and re arms entries while flat Fusion rule Minimum satisfied gates count style. All required gates must be true. Optional gates are controlled in Inputs. Bias memory never overrides an opposite confirmed setup. Signal rule • Long setup when close crosses up through the lower band, the bar closes green, and close is above the long EMA • Short setup when close crosses down through the upper band, the bar closes red, close is below the short EMA, and ADX is above the minimum • While flat the model keeps a pending order in the stored direction until a true opposite setup appears • IN LONG or IN SHORT describes states between entry and exit What you will see on the chart • Markers for Long and Short setups • Exit markers from ATR or time rules • Reference levels for entry, stop, and target • Bollinger bands and optional adaptive bands Inputs with guidance Setup • Signal timeframe. Uses the chart timeframe • Invert direction optional. Flips long and short Logic • BB Length. Typical 10 to 50. Higher smooths more • BB Mult. Typical 1.0 to 2.5. Higher widens entries • EMA Length long. Typical 10 to 50 • EMA Length short. Typical 5 to 30 • ADX Minimum for short. Typical 15 to 35 Filters • Regime Type. none or trend or mean reversion • Rank Lookback. Typical 100 to 300 • Basis Slope Length and Threshold. Larger values reduce false trends Risk • ATR Length. Typical 10 to 21 • ATR Stop Mult. Typical 1.0 to 3.0 • ATR Take Profit Mult. Typical 2.0 to 5.0 • Breakeven Trigger R. Move stop to entry after the chosen multiple • Time Exit. Minimum bars and extension when profit exceeds a fraction of ATR Bias and rearm • Bias flips kept. Array depth • Keep rearm when flat. Maintain a pending order while flat UI • Show markers and levels. Clean defaults Usage recipes Alerts update in real time and can change while the bar forms. Select on bar close for conservative workflows. Properties visible in this publication • Initial capital 25000 • Base currency USD • If any higher timeframe calls are enabled, request.security uses lookahead off • Commission 0.03 percent • Slippage 3 ticks • Default order size method Percent of equity with value 5 • Pyramiding 0 • Process orders on close On • Bar magnifier Off • Recalculate after order is filled Off • Calc on every tick Off Realism and responsible publication No performance claims. Costs and fills vary by venue. Shapes can move intrabar and settle on close. Strategies use standard candles only. Honest limitations and failure modes High impact releases and thin liquidity can break assumptions. Gap heavy symbols may require larger ATR. Very quiet regimes can reduce contrast in the mean reversion signal. If stop and target can both be touched inside one bar, outcome follows the TradingView order model for that bar path. Regimes with extreme one sided trend and very low volatility can reduce mean reversion edges. Results vary by symbol and venue. Past results never guarantee future outcomes. Open source reuse and credits None. Backtest realism Costs are realistic for liquid equities. Sizing does not exceed five percent per trade by default. Any departure should be justified by the user. If you got any questions please le me know
Pine Script® ストラテジー
exluxの投稿
KD-NewAutoTrade for Future Trading - Heikin Ashi candles The KD-NewAutoTrade strategy is a dynamic trend-following indicator designed for scalping and swing trading across crypto, forex, and index futures. It combines the precision of EMA crossovers, RSI momentum, and ADX trend strength to deliver clear Buy/Sell signals with high reliability. 🔹 Core Logic EMA Fast & Slow Crossover – Identifies short-term and long-term trend shifts. RSI Confirmation – Filters out false signals by requiring RSI to cross custom Buy/Sell thresholds. ADX Filter – Ensures trades only trigger when market trend strength exceeds your chosen ADX minimum. 🔹 Key Features Visual Buy/Sell triangles directly on the chart. Customizable inputs for EMA, RSI, and ADX lengths. Works efficiently on all timeframes and all markets (Crypto, Indices, Stocks, Commodities). Optional background highlights for active trade zones. Alert conditions for both BUY and SELL setups – ready to use in automated strategies or alert bots. 🔹 Recommended Usage Use Heikin Ashi candles Works best on 1M - 5M timeframes. Combine with volume or higher-timeframe trend confirmation for stronger signals.
Pine Script® インジケーター
krish16887の投稿
RSI Trendline Pro - Multi Confirmation Overview RSI Trendline Pro is an advanced Pine Script indicator that automatically draws trendlines on the RSI (Relative Strength Index) to detect support and resistance breakouts. It generates high-quality trading signals through a multi-confirmation system.​ Key Features Auto Trendlines: Detects pivot points on RSI to create intelligent support and resistance lines​ Multi-Confirmation System: Combines Volume, Stochastic RSI, ADX, and Divergence filters to reduce false signals​ RSI Divergence Detection: Automatically identifies bullish/bearish divergences between price and RSI​ Live Dashboard: Displays RSI value, active trendlines, ADX strength, and last signal info on a visual panel​ Smart Breakout Detection: Identifies trendline breaks and generates LONG/SHORT signals​ How to Use Add to TradingView: Paste code into Pine Editor and add to chart Configure Parameters: RSI Length: RSI period (default: 14)​ Pivot Strength: Trendline sensitivity (lower = more lines)​ Filters: Enable/disable Volume, Divergence, Stoch RSI, and ADX confirmations​ Follow Signals: LONG (Green): When RSI breaks resistance upward​ SHORT (Red): When RSI breaks support downward​ Divergence: "D" markers indicate potential trend reversals​ Alert Setup Script offers 4 alert types:​ LONG Breakout: Resistance break SHORT Breakout: Support break Bullish/Bearish Divergence: Divergence detection Any Signal: Combined alert for all signals Best Practices Prioritize high-volume breakouts (Volume Filter enabled)​ Trends are stronger when ADX > 25​ Confirm divergence signals with price action​ Trade when 2-3 confirmations align
Pine Script® インジケーター
last_satoshiの投稿
QUANTUM MOMENTUMOverview Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management. Key Features 📊 Multi-Asset Momentum Comparison Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset Real-Time Tracking: Monitor relative momentum strength as market conditions evolve Difference Visualization: Clear histogram display showing which asset has stronger momentum 🎯 Multiple Momentum Calculation Methods Choose from four different momentum calculation types: ROC (Rate of Change): Traditional percentage-based momentum measurement RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range Percent Change: Simple percentage change over the lookback period Raw Change: Absolute price change in native currency units 📈 Advanced Trend Filtering System Enable optional trend filters to align momentum signals with prevailing market direction: SMA (Simple Moving Average): Classic trend identification EMA (Exponential Moving Average): Responsive trend detection Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns ADX (Average Directional Index): Measures trend strength with customizable threshold 🎨 Futuristic Cyberpunk Design Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette Glowing Visual Effects: Enhanced visibility with luminescent plot lines Dynamic Background Shading: Subtle trend state visualization Real-Time Data Table: Sleek information panel displaying current momentum values and trend status How It Works The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time. Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise. Settings Guide Symbol Settings Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs) Momentum Settings Momentum Length: Lookback period for momentum calculations (default: 14 bars) Momentum Type: Select your preferred momentum calculation method Display Options Toggle visibility of current symbol momentum line Toggle visibility of comparison symbol momentum line Toggle visibility of momentum difference histogram Optional zero line reference Trend Filter Settings Use Trend Filter: Enable/disable trend-based signal filtering Trend Method: Choose from SMA, EMA, Price Action, or ADX Trend Length: Period for trend calculations (default: 50) ADX Threshold: Minimum ADX value to confirm trend strength (default: 25) Best Use Cases ✅ Pairs Trading: Identify divergences in momentum between correlated assets ✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum ✅ Stock Market Rotation: Track sector or index relative strength ✅ Forex Strength Analysis: Monitor currency pair momentum relationships ✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence ✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals Visual Indicators ⚡ Cyan Line: Your chart symbol's momentum ⚡ Magenta Line: Comparison symbol's momentum 📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink) ▲ Green Triangle: Bullish trend detected (when filter enabled) ▼ Red Triangle: Bearish trend detected (when filter enabled) ◈ Yellow Diamond: Neutral/sideways trend (when filter enabled) Pro Tips 💡 Look for crossovers between the momentum lines as potential trade signals 💡 Combine with volume analysis for stronger confirmation 💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals 💡 Enable trend filter during ranging markets to reduce false signals 💡 Experiment with different momentum types to find what works best for your trading style Technical Requirements TradingView Pine Script Version: v6 Chart Type: Works on all chart types Indicator Placement: Separate pane (overlay=false) Data Requirements: Needs access to comparison symbol data
Pine Script® インジケーター
AlgoCollectiveの投稿
1
ALMASTO – Pro Trend & Momentum (v1.1)ALMASTO — Pro Trend & Momentum Strategy Description: This strategy is designed for precision trading in both Forex (FX) and Crypto markets. It combines multi-timeframe trend confirmation (EMA200), momentum filters (RSI, MACD, ADX), and ATR-based dynamic risk management. ALMASTO — Pro Trend & Momentum Strategy automatically manages take-profit levels, stop-loss, and breakeven adjustments once TP1 is reached — providing a structured and emotion-free trading approach. Optimal Use Works best on lower timeframes (5m–15m) with strong liquidity sessions. Optimized for pairs like EURUSD, XAUUSD, and BTCUSDT. Built for trend-following setups and momentum reversals with high volatility confirmation. Recommended Settings 🔹 Forex – 5m EMA Fast = 34, EMA Slow = 200, HTF = 1H RSI (14): Long ≥ 55 / Short ≤ 45 MACD (8 / 21 / 5), ADX Len 10 / Min 27 ATR Len 7, Stop Loss = ATR × 2.1 TP1 = 1.1 RR, TP2 = 2.3 RR Session = 07:00–11:00 & 12:30–16:00 (Exchange Time) Risk = 0.8% per trade 🔹 Forex – 15m EMA Fast = 50, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 53 / Short ≤ 47 MACD (12 / 26 / 9), ADX Min 24 ATR Len 10, SL = ATR × 1.9 TP1 = 1.2 RR, TP2 = 2.6 RR Risk = 1.0% per trade 🔹 Crypto – 5m (BTC/USDT) EMA Fast = 34, EMA Slow = 200, HTF = 4H RSI (14): Long ≥ 56 / Short ≤ 44 MACD (8 / 21 / 5), ADX Min 30 ATR Len 7, SL = ATR × 2.2 TP1 = 1.0 RR, TP2 = 2.5 RR Session = 00:00–06:00 & 12:00–22:00 (UTC) Risk = 0.5% per trade Core Features ✅ Auto breakeven after TP1 ✅ Dual take-profit system (1:1 & 1:2 RR) ✅ ATR-based stop & trailing logic ✅ Filters for session time, volume, and volatility ✅ Candle-body vs ATR size filter to avoid noise ✅ Optional cooldown between trades Important Notes Use bar close confirmation only (barstate.isconfirmed) to avoid repainting on lower timeframes. Adjust commission (0.01–0.03%) and slippage (1–2 ticks) in Strategy Tester for realistic results. Avoid low-liquidity hours (after 21:00 UTC for FX / after midnight for crypto). Backtest using realistic broker data (e.g., BlackBull Markets / Bybit / Binance Futures). Best results occur during London & New York sessions with moderate volatility. ⚠️ Disclaimer This script is for educational and research purposes only. It does not constitute financial advice. Use proper risk management and test thoroughly before using on live accounts. Developed by KING FX Labs Built and optimized by Yousef Almasto — combining advanced price-action logic, multi-timeframe EMA structure, and volatility-adaptive ATR management. Tested across Forex, Gold, and Crypto markets to ensure consistent performance and minimal drawdown. 📈 “Precision Trading. Zero Emotion. Pure Momentum.”
Pine Script® ストラテジー
ALMASTO-TRADING-SYSTEMの投稿