Black Fridayลดสูงสุดถึง 80%

ค้นหาในสคริปต์สำหรับ "histogram"

Dynamic Spot vs Perp Spread### **Description for TradingView Publication** --- **Dynamic Spot vs Perp Spread** (For USDT-Spot and USDT.P-Perp) Summary of Usefulness: This indicator is a valuable tool for traders who want to monitor and capitalize on the relationship between spot and perpetual futures (perp) prices. When the spot price exceeds the perp price, it's often a leading signal that the perp price will follow, creating potential trading opportunities. While this behavior doesn't happen every time, divergences between spot and perp prices can frequently signal significant market movements. What it Does: This indicator calculates and displays the price spread (percentage difference) between the spot price and perpetual futures (perp) price of a cryptocurrency asset. It dynamically adjusts to the instrument being viewed, ensuring that spot dominance (spot price higher) is plotted above the zero line and perp dominance (perp price higher) is plotted below the zero line. Additionally, the indicator accounts for symbols with multipliers (e.g., `1000SHIBUSDT.P`) to ensure accurate calculations. Key features include: - Automatic symbol detection and adjustment for Spot/Perp pairs. - Dynamic handling of price multipliers for assets with prefixes like `1000`. - Visualization of spread with a histogram and optional smoothing using an EMA (Exponential Moving Average). - Configurable alerts for significant spread changes and spread flips. - No repainting: the indicator uses the `barmerge.lookahead_off` setting to ensure stable, non-repainting values. --- ### **How to Use** 1. **Add the Indicator:** - Search for "Dynamic Spot vs Perp Spread" in the TradingView Indicators library and add it to your chart. 2. **Understand the Visualization:** - A positive spread (green histogram) indicates that the spot price is higher than the perp price (spot dominance). - A negative spread (red histogram) indicates that the perp price is higher than the spot price (perp dominance). 3. **Customize Settings:** - **EMA Length:** Use the input field to smooth the spread data over a chosen number of periods. - **Alert Threshold:** Set a threshold to receive alerts when the spread exceeds a specific percentage. 4. **Receive Alerts:** - Enable alerts for spread flips (when dominance shifts between spot and perp) or when the spread exceeds the defined threshold. 5. **Use Case Examples:** - **Spot vs. Perp Arbitrage:** Traders can monitor significant deviations between spot and perp prices to identify potential arbitrage opportunities. - **Market Sentiment Analysis:** Persistent spot dominance may indicate stronger buying interest in the spot market, while perp dominance may suggest futures market speculation. --- ### **Repainting Behavior** This indicator **does not repaint** because it uses `barmerge.lookahead_off` for all calculations, ensuring that data from the comparison symbol (spot or perp) is locked to the currently completed candle. This means the values plotted and alerts triggered are reliable and do not change retrospectively. Repainting occurs when an indicator uses future-looking or incomplete data for calculations. By design, this indicator avoids such practices, making it suitable for live trading and analysis. ---
อินดิเคเตอร์ Pine Script®
โดย Thalassophile
3
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)
ไลบรารี Pine Script®
โดย crypto_pumpppp
Custom AO with Open Difference**Custom AO with Open Difference Indicator** This indicator, *Custom AO with Open Difference*, is designed to help confirm trend direction based on the relationship between the daily open price and recent 4-hour open prices. It calculates the Awesome Oscillator (AO) based on the difference between the daily open price and the average of the previous six 4-hour open prices. This approach provides insight into whether the current open price is significantly diverging from recent short-term opens, which can indicate a trend shift or continuation. ### Technical Analysis and Features 1. **Trend Confirmation**: By comparing the daily open with the mean of six previous 4-hour open prices, this indicator helps identify trends. When the current daily open is below the average of recent opens, the AO value will plot as green, signaling potential upward momentum. Conversely, if the daily open is above the recent average, the histogram will plot red, suggesting possible downward momentum. 2. **Non-Repainting**: Since it relies on completed 4-hour and daily open prices, this indicator does not repaint, ensuring that all values remain fixed after the close of each period. This non-repainting feature makes it suitable for backtesting and reliable for trend confirmation without fear of historical changes. 3. **AO Mean Calculation**: The indicator calculates the average of six previous 4-hour open prices, providing a smoothed value to reduce short-term noise. This helps in identifying meaningful deviations, making the AO values a more stable basis for trend determination than using just the latest 4-hour or daily open. 4. **Histogram for Visual Clarity**: The indicator is displayed as a histogram, making it easy to identify trend changes visually. If the AO bar turns green, it’s a signal that the 4-hour average is below the daily open, suggesting an uptrend or bullish momentum. Red bars indicate that the daily open is above the recent 4-hour averages, potentially signaling a downtrend or bearish momentum. ### Practical Application The *Custom AO with Open Difference* is a versatile tool for confirming the open price trend without needing complex oscillators or lagging indicators. Traders can use this tool to gauge the market sentiment by observing open price variations and use it as a foundation for decision-making in both short-term and daily timeframes. Its non-repainting nature adds reliability for traders using this indicator as part of a broader trading strategy.
อินดิเคเตอร์ Pine Script®
โดย CocoPine
Relative Measured Volatility (RMV) – Spot Tight Entry ZonesTitle: Relative Measured Volatility (RMV) – Spot Tight Entry Zones Introduction The Relative Measured Volatility (RMV) indicator is designed to highlight tight price consolidation zones , making it an ideal tool for traders seeking optimal entry points before potential breakouts. By focusing on tightness rather than general volatility, RMV offers traders a practical way to detect consolidation phases that often precede significant market moves. How RMV Works The RMV calculates short-term tightness by averaging three ATR (Average True Range) values over different lookback periods and then normalizing them within a specified lookback window. The result is a percentage-based scale from 0 to 100, indicating how tight the current price range is compared to recent history. Here’s the breakdown: Three ATR values are computed using user-defined short lookback periods to represent short-term price movements. An average of the ATRs provides a smoothed measure of current tightness. The RMV normalizes this average against the highest and lowest values over the defined lookback period, scaling it from 0 to 100. This approach helps traders identify consolidation zones that are more likely to lead to breakouts. Key Features of RMV Multi-Period ATR Calculation : Uses three ATR values to effectively capture market tightness over the short term. Normalization : Converts the tightness measure to a 0-100 scale for easy interpretation. Dynamic Histogram and Background Colors : The RMV indicator uses a color-coded system for clarity. How to Use the RMV Indicator Identify Tight Consolidation Zones: a - RMV values between 0-10 indicate very tight price ranges, making this the most optimal zone for potential entries before breakouts. b - RMV values between 11-20 suggest moderate tightness, still favorable for entries. Monitor Potential Breakout Areas: As RMV moves from 21-30 , tightness reduces, signaling expanding volatility that may require wider stops or more flexible entry strategies. Adjust Trading Strategies: Use RMV values to identify tight zones for entering trades, especially in trending markets or at key support/resistance levels. Customize the Indicator: a - Adjust the short-term ATR lookback periods to control sensitivity. b - Modify the lookback period to match your trading horizon, whether short-term or long-term. Color-Coding Guide for RMV ibb.co How to Add RMV to Your Chart Open your chart on TradingView. Go to the “Indicators” section. Search for "Relative Measured Volatility (RMV)" in the Community Scripts section. Click on the indicator to add it to your chart. Customize the input parameters to fit your trading strategy. Input Parameters Lookback Period : Defines the period over which tightness is measured and normalized. Short-term ATR Lookbacks (1, 2, 3) : Control sensitivity to short-term tightness. Histogram Threshold : Sets the threshold for differentiating between bright (tight) and dim (less tight) histogram colors. Conclusion The Relative Measured Volatility (RMV) is a versatile tool designed to help traders identify tight entry zones by focusing on market consolidation. By highlighting narrow price ranges, the RMV guides traders toward potential breakout setups while providing clear visual cues for better decision-making. Add RMV to your trading toolkit today and enhance your ability to identify optimal entry points!
อินดิเคเตอร์ Pine Script®
โดย Triyambak_CA
7
Price Action UltimateThe Price Action Ultimate indicator is an innovative tool designed to provide traders with a comprehensive view of price action based on either volume or touches. By default, the indicator displays touches, offering a unique perspective on price levels that have been frequently interacted with by the market. At its core, the indicator divides the price range of a specified lookback period into a number of rows (default 25). For each row, it calculates either the volume traded or the number of times the price touched that level. This data is then visualized in two ways: as a histogram and as horizontal lines on the chart. The histogram, displayed on the right side of the chart, represents the distribution of touches (or volume) across different price levels. Each bar in the histogram shows the number of touches and the percentage of total touches for that price level. The color of the bars ranges from a user-defined low activity color to a high activity color, providing a quick visual reference for the most active price levels. The horizontal lines drawn across the chart represent the most significant levels based on touches (or volume). By default, the indicator displays the top 3 levels, but this can be adjusted. The thickness of these lines corresponds to the relative importance of each level - thicker lines indicate more touches or higher volume. This feature allows traders to quickly identify key support and resistance levels based on historical price action. One of the most innovative aspects of this indicator is the option to fade older levels over time. When enabled, this feature gradually increases the transparency of lines as they age, with newer levels appearing more prominently. This helps traders focus on the most recent and relevant price action while still maintaining awareness of older, potentially significant levels. The indicator offers flexibility in its display options. Users can choose to show levels based on volume, touches, or both. This allows traders to compare and contrast different perspectives on price action. Additionally, the indicator includes options to display a volume profile and a background fill for the analysis range, further enhancing its visual appeal and informational content. What makes this indicator particularly valuable is its ability to provide a clear, uncluttered view of key price levels without relying on complex calculations or multiple indicators. It distills price action down to its essence - where price has spent the most time or where the most trading activity has occurred. This can be incredibly useful for identifying potential support and resistance levels, areas of consolidation, or possible breakout points. For traders focused on price action strategies, this indicator offers a powerful tool to enhance their analysis. It provides a data-driven approach to identifying significant price levels, which can be used to inform entry and exit decisions, set stop losses, or anticipate potential market reactions. This indicator is a tool to aid in market analysis and should not be used as the sole basis for trading decisions. Always combine multiple forms of analysis and practice proper risk management when trading. Past performance does not guarantee future results.
อินดิเคเตอร์ Pine Script®
โดย Julien_Eche
12
BX-Volume Trend and OscillatorBX-Volume Trend and Oscillator (VTO) This is my second indicator. I created this indicator for myself. I was inspired by the indicators created by Bjorgum, Duyck and QuantTherapy and decided to create multiple indicators that either work well combined with their indicators or something new that applies some of their indicator concepts. I decided to share this because I believe in learning and earing together as a community. I will later share the rest of the indicators I have created. If you guys have any questions or suggestions write them. The BX-Volume Trend and Oscillator (VTO) is a comprehensive trading indicator designed to help traders identify trends, momentum shifts, and potential reversals by analyzing volume and price action through various metrics. This indicator combines relative volume analysis with custom Xtrender oscillators and moving averages to provide valuable insights into market behavior. Image: BX-Volume Trend and Oscillator (VTO) Features: Relative Volume Analysis: Measures the current volume relative to the average volume over a specified period, helping traders understand if the current trading activity is unusually high or low. Short-Term Xtrender Oscillator: This oscillator analyzes the difference between two short-term Exponential Moving Averages (EMAs) and smooths it with a custom RSI, highlighting short-term trends and potential reversal points. Long-Term Xtrender Oscillator: Similar to the short-term oscillator but uses longer-term EMAs and RSI for identifying more sustained trends and shifts. T3 Moving Average: A smoothed version of the Xtrender oscillator that helps in detecting trend changes more clearly. Volume Trend Plot: Shows the smoothed relative volume to understand how trading activity aligns with the trend. Visual Indicators: Uses colors and shapes to highlight significant changes and trends, such as circles to mark potential reversal points. How to Use the Indicator Analyze Relative Volume: Relative Volume Plot: The smoothed relative volume is displayed in white, helping you assess if current trading volumes are above or below the historical average. High Relative Volume: Indicates strong trading interest, which could support or contradict the prevailing trend. Image above: is set to daily timeframe Monitor Short-Term Xtrender Oscillator Short-Term Xtrender: Plotted as a column histogram with colors changing from green to red based on the oscillator's movement and momentum. Green and lime colors indicate bullish trends, while maroon and red suggest bearish conditions. Smoothed Short-Term Xtrender (T3): Plotted as a line that adjusts color based on the short-term Xtrender's trend. The line changes color to match the histogram's color, providing a clearer view of momentum shifts. Reversal Markers: Small circles indicate potential short-term trend reversals, where changes in the T3 moving average suggest shifts in momentum. Assess Long-Term Xtrender Oscillator: Long-Term Xtrender: Plotted as a histogram, with color changes similar to the short-term Xtrender. It shows longer-term trends and shifts. Color Indicators: Lime and green colors suggest an uptrend, while red and maroon indicate a downtrend. Look for Zero Line Crossings: The zero line serves as a reference point. Crossings above the zero line may indicate bullish trends, while crossings below may signal bearish trends. Image above: is set to daily timeframe, and it showcases the Short-Term Xtrender (T3) applied. Image above: is set to 8hr timeframe: Using the lower timeframe you can spot better details of pullbacks and potential reversals. Example of Use: Identify Trend and Momentum: Use the combination of the short-term and long-term Xtrender oscillators to gauge the prevailing market trend. For instance, if both oscillators are above zero and showing upward momentum, it suggests a strong bullish trend. Spot Reversals: Observe the short-term Xtrender and its smoothed T3 version. If the T3 line changes direction and crosses through previous peaks and troughs, it could signal a potential reversal. Volume Confirmation: Check the relative volume and its smoothed version to confirm the strength of price movements. Significant changes in volume can validate the trends indicated by the Xtrender oscillators. By combining these elements, the BX-Volume Trend and Oscillator (VTO) provides a holistic view of market dynamics, helping traders make more informed decisions based on trend strength, potential reversals, and volume activity. Lastly, my Scripts/Indicators/Ideas /Systems that I share are only for educational purposes!
อินดิเคเตอร์ Pine Script®
โดย Debis03
8
GannLSVZO Indicator [Algo Alert]The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction. The Gann Laplace Smoothed Volume Zone Oscillator GannLSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the upgraded Discrete Fourier Transform, the Laplace Stieltjes Transform. Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends. By combining the Laplace with Gann Swing Entries and Exits (orange X) and with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions. HOW TO USE THE INDICATOR: The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well) The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in a natural trend. ORIGINALITY & USFULLNESS: Personal combination of Gann swings and Laplace Stieltjes Transform of a price which results in less noise Volume Zone Oscillator. The Laplace Stieltjes Transform is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element. This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding. The Gann swings and the Gan swing strategy is developed by meomeo105, this Gann high and low algorithm forms the basis of the EMA modification. DETAILED DESCRIPTION: My detailed description of the indicator and use cases which I find very valuable. What is oscillator? Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets. What is volume zone oscillator? Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price. Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average. What does this mean? If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely. If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely. Rising means that VZO on close is higher than the previous day. Falling means that VZO on close is lower than the previous day. What if VZO is falling above 0 line? It means we have a high probability of a bearish trend. Thus the indicator returns 0 and Strategy closes all it's positions when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend. What is approximation and smoothing? They are mathematical concepts for making a discrete set of numbers a continuous curved line. Laplace Stieltjes Transform approximation of a close price are taken from aprox library. Key Features: You can tailor the Indicator/Strategy to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length. Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification. Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics. Choose between the traditional Fast Laplace Stieltjes Transform (FLT) and the innovative Double Discrete Fourier Transform (DTF32) soothed price series to suit your analytical needs. Use dynamic calculation of Laplace coefficient or the static one. You may modify those inputs and Strategy entries with Gann swings. I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame. I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
อินดิเคเตอร์ Pine Script®
โดย AutomatedTradingAlgorithms
Fine-tune Inputs: Gann + Laplace Smooth Volume Zone OscillatorUse this Strategy to Fine-tune inputs for the GannLSVZ0 Indicator. Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data. I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame. MEANINGFUL DESCRIPTION: The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction. The Gann Laplace Smoothed Volume Zone Oscillator GannLSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the upgraded Discrete Fourier Transform, the Laplace Stieltjes Transform. Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends. By combining the Laplace with Gann Swing Entries and with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions. HOW TO USE THE INDICATOR: The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well) The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in a natural trend. HOW TO USE THE STRATEGY: Here you fine-tune the inputs until you find a combination that works well on all Timeframes you will use when creating your Automated Trade Algorithmic Strategy. I suggest 4h, 12h, 1D, 2D, 3D, 4D, 5D, 6D, W and M. When Indicator/Strategy returns 0 or natural trend, Strategy Closes All it's positions. ORIGINALITY & USFULLNESS: Personal combination of Gann swings and Laplace Stieltjes Transform of a price which results in less noise Volume Zone Oscillator. The Laplace Stieltjes Transform is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element. This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding. The Gann swing strategy is developed by meomeo105, this Gann high and low algorithm forms the basis of the EMA modification. DETAILED DESCRIPTION: My detailed description of the indicator and use cases which I find very valuable. What is oscillator? Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets. What is volume zone oscillator? Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price. Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average. What does this mean? If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely. If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely. Rising means that VZO on close is higher than the previous day. Falling means that VZO on close is lower than the previous day. What if VZO is falling above 0 line? It means we have a high probability of a bearish trend. Thus the indicator returns 0 and Strategy closes all it's positions when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend. What is approximation and smoothing? They are mathematical concepts for making a discrete set of numbers a continuous curved line. Laplace Stieltjes Transform approximation of a close price are taken from aprox library. Key Features: You can tailor the Indicator/Strategy to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length. Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification. Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics. Choose between the traditional Fast Laplace Stieltjes Transform (FLT) and the innovative Double Discrete Fourier Transform (DTF32) soothed price series to suit your analytical needs. Use dynamic calculation of Laplace coefficient or the static one. You may modify those inputs and Strategy entries with Gann swings. I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame. I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
กลยุทธ์ Pine Script®
โดย AutomatedTradingAlgorithms
Uptrick: Bullish/Bearish Signal DetectorDetailed Explanation of the "Uptrick: Bullish/Bearish Signal Detector" Script The "Uptrick: Bullish/Bearish Signal Detector" script is a sophisticated tool designed for the TradingView platform, leveraging Pine Script version 5. This script is crafted to enhance traders' ability to identify bullish (buy) and bearish (sell) signals directly on their trading charts. By combining the power of the MACD (Moving Average Convergence Divergence) and RSI (Relative Strength Index) indicators, this script provides a unique and efficient method for detecting potential trading opportunities. Below is an in-depth exploration of its purpose, features, and functionality. Purpose The primary purpose of this script is to assist traders in identifying potential entry and exit points in the market by signaling bullish and bearish conditions. This automated detection helps traders make more informed decisions without the need to manually analyze complex indicators. By overlaying signals directly on the price chart, the script allows for quick visual identification of market trends and reversals. Uniqueness What sets this script apart is its dual use of MACD and RSI indicators. While many trading strategies might rely on a single indicator, combining MACD and RSI enhances the reliability of the signals by filtering out false positives. The script not only identifies trends but also adds a layer of confirmation through the RSI, which measures the speed and change of price movements. Inputs and Features Customizable Label Appearance: The script allows users to customize the appearance of the labels that indicate bullish and bearish signals. Users can set their preferred colors for the labels and the text, ensuring that the signals are easily distinguishable and aesthetically pleasing on their charts. MACD Calculation: The script calculates the MACD line and signal line using user-defined input values for the fast length, slow length, and signal length. The MACD histogram, which is the difference between the MACD line and the signal line, is used to determine the momentum of the market. RSI Calculation: The RSI is calculated using a user-defined input length. The RSI helps in identifying overbought or oversold conditions, which are crucial for confirming the strength of the trend detected by the MACD. Bullish and Bearish Conditions: The script defines bullish conditions as those where the MACD histogram is positive and the RSI is above 50. Bearish conditions are defined where the MACD histogram is negative and the RSI is below 50. This combination of conditions ensures that signals are generated based on both momentum and relative strength, reducing the likelihood of false signals. Label Plotting: The script plots labels on the chart to indicate bullish and bearish signals. When a bullish condition is met, and the previous signal was not bullish, a "LONG" label is plotted. Similarly, when a bearish condition is met, and the previous signal was not bearish, a "SHORT" label is plotted. This feature helps in clearly marking the points of interest for traders, making it easier to spot potential trades. Tracking Previous Signals: To avoid repetitive signals, the script keeps track of the last signal. If the last signal was bullish, it avoids plotting another bullish signal immediately. The same logic applies to bearish signals. This tracking ensures that signals are spaced out and only significant changes in market conditions are highlighted. How It Works The script operates in a loop, processing each bar (or candlestick) on the chart as new data comes in. It calculates the MACD and RSI values for each bar and checks if the current conditions meet the criteria for a bullish or bearish signal. If a signal is detected and it is different from the last signal, a label is plotted on the chart at the current bar's price level. This real-time processing allows traders to see the signals as they form, providing timely insights into market movements. Practical Application For practical use, a trader would add this script to their TradingView chart. They can customize the input parameters for the MACD and RSI calculations to fit their trading strategy or preferred settings. Once added, the script will automatically analyze the price data and start plotting "LONG" and "SHORT" labels based on the detected signals. Traders can then use these labels to make decisions on entering or exiting trades, adjusting their strategy as necessary based on the signals provided. Conclusion The "Uptrick: Bullish/Bearish Signal Detector" script is a powerful tool for any trader looking to leverage technical indicators for better trading decisions. By combining MACD and RSI, it offers a robust method for detecting market trends and potential reversals. The customizable features and real-time signal plotting make it a versatile and user-friendly addition to any trading toolkit. This script not only simplifies the process of technical analysis but also enhances the accuracy of trading signals, thereby potentially increasing the trader's success rate in the market.
อินดิเคเตอร์ Pine Script®
โดย Uptrick
5
Strength Measurement -HTThe Strength Measurement -HT indicator is a tool designed to measure the strength and trend of a security using the Average Directional Index (ADX) across multiple time frames. This script averages the ADX values from five different time frames to provide a comprehensive view of the trend's strength, helping traders make more informed decisions. Key Features: Multi-Time Frame Analysis: The indicator calculates ADX values from five different time frames (5 minutes, 15 minutes, 30 minutes, 1 hour, and 4 hours) to offer a more holistic view of the market trend. Trend Strength Visualization: The average ADX value is plotted as a histogram, with colors indicating the trend strength and direction, making it easy to visualize and interpret. Reference Levels: The script includes horizontal lines at ADX levels 25, 50, and 75 to signify weak, strong, and very strong trends, respectively. How It Works Directional Movement Calculation: The script calculates the positive and negative directional movements (DI+) and (DI-) using the true range over a specified period (default is 14 periods). ADX Calculation: The ADX value is derived from the smoothed moving average of the absolute difference between DI+ and DI-, normalized by their sum. Multi-Time Frame ADX: ADX values are computed for the 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour time frames. Average ADX: The script averages the ADX values from the different time frames to generate a single, comprehensive ADX value. Trend Visualization: The average ADX value is plotted as a histogram with colors indicating: Gray for weak trends (ADX < 25) Green for strengthening trends (25 ≤ ADX < 50) Dark Green for strong trends (ADX ≥ 50) Light Red for weakening trends (ADX < 25) Red for strong trends turning weak (ADX ≥ 25) Usage Trend Detection: Use the color-coded histogram to quickly identify the trend strength and direction. Green indicates a strengthening trend, while red signifies a weakening trend. Reference Levels: Utilize the horizontal lines at ADX levels 25, 50, and 75 as reference points to gauge the trend's strength. ADX < 25 suggests a weak trend. ADX between 25 and 50 indicates a moderate to strong trend. ADX > 50 points to a very strong trend. Multi-Time Frame Insight: Leverage the averaged ADX value to gain insights from multiple time frames, helping you make more informed trading decisions based on a broader market perspective. Feel free to explore and integrate this indicator into your trading strategy to enhance your market analysis and decision-making process. Happy trading!
อินดิเคเตอร์ Pine Script®
โดย FlowTraderX
Buying and Selling Pressure with Delta VolumeScript Name "Buying and Selling Pressure with Delta Volume" Purpose The script is designed to analyse and visualise buying and selling pressure for each candle on a trading chart. It estimates the volume attributed to buying and selling within each candle and calculates the delta volume, which is the difference between buying and selling volume. This can help traders understand market dynamics and the balance of power between buyers and sellers. Components Volume Data: The script uses the volume data from the current chart's timeframe. Candle Spread: The spread is calculated as the difference between the high and low prices of each candle. Handling Doji Candles: If the spread is zero (which can happen with Doji candles), it sets the spread to na (not available) to prevent division by zero errors. Buying and Selling Pressure: Buying Pressure: Estimated as the proportion of the candle's volume attributed to the price moving up from the low to the close. Selling Pressure: Estimated as the proportion of the candle's volume attributed to the price moving down from the high to the close. Delta Volume: The difference between buying pressure and selling pressure, representing the net buying or selling volume for each candle. Plotting Buying Pressure: Plotted as green histogram bars. Selling Pressure: Plotted as red histogram bars. Delta Volume: Plotted as blue histogram bars and a blue line, indicating the difference between buying and selling pressure. A horizontal line at zero (grey colour) is added to help visualise positive and negative delta volume.
อินดิเคเตอร์ Pine Script®
โดย Riq135
Weekly Open to Close Percentage ChangeThe "Weekly Open to Close Percentage Change Indicator" is a powerful tool designed to help traders and investors track the percentage change in price from the open of the current week's candle to its close. This indicator provides a clear visualization of how the price has moved within the week, offering valuable insights into weekly market trends and momentum. Key Features: Weekly Analysis: Focuses on weekly time frames, making it ideal for swing traders and long-term investors. Percentage Change Calculation: Accurately calculates the percentage change from the open price of the current week's candle to the close price. Color-Coded Visualization: Uses color coding to differentiate between positive and negative changes: Green for positive percentage changes (price increase). Red for negative percentage changes (price decrease). Histogram Display: Plots the percentage change as a histogram for easy visual interpretation. Background Highlighting: Adds a background color with transparency to highlight the nature of the change, enhancing chart readability. Optional Labels: Includes an option to display percentage change values as small dots at the top for quick reference. How to Use: Add the script to your TradingView chart by opening the Pine Editor, pasting the script, and saving it. Apply the indicator to your chart. It will automatically calculate and display the weekly percentage change. Use the color-coded histogram and background to quickly assess weekly price movements and make informed trading decisions. Use Cases: Trend Identification: Quickly identify whether the market is trending upwards or downwards on a weekly basis. Market Sentiment: Gauge the market sentiment by observing the weekly price changes. Swing Trading: Ideal for swing traders who base their strategies on weekly price movements. Note: This indicator is designed for educational and informational purposes. Always conduct thorough analysis and consider multiple indicators and factors when making trading decisions.
อินดิเคเตอร์ Pine Script®
โดย deepakchouhan265
Rolling Point of Control (POC) [AlgoAlpha]Enhance your trading decisions with the Rolling Point of Control (POC) Indicator designed by AlgoAlpha! This powerful tool displays a dynamic Point of Control based on volume or price profiles directly on your chart, providing a vivid depiction of dominant price levels according to historical data. 🌟📈 🚀 Key Features: Profile Type Selection: Choose between Volume Profile and Price Profile to best suit your analysis needs. Adjustable Lookback Period: Modify the lookback period to consider more or less historical data for your profile. Customizable Resolution and Scale: Tailor the resolution and horizontal scale of the profile for precision and clarity. Trend Analysis Tools: Enable trend analysis with the option to display a weighted moving average of the POC. Color-Coded Feedback: Utilize color gradients to quickly identify bullish and bearish conditions relative to the POC. Interactive Visuals: Dynamic rendering of profiles and alerts for crossing events enhances visual feedback and responsiveness. Multiple Customization Options: Smooth the POC line, toggle profile and fill visibility, and choose custom colors for various elements. 🖥️ How to Use: 🛠 Add the Indicator: Add the indicator to favorites and customize settings like profile type, lookback period, and resolution to fit your trading style. 📊 Market Analysis: Monitor the POC line for significant price levels. Use the histogram to understand price distributions and locate major market pivots. 🔔 Alerts Setup: Enable alerts for price crossing over or under the POC, as well as for trend changes, to stay ahead of market movements without constant chart monitoring. 🛠️ How It Works: The Rolling POC indicator dynamically calculates the Point of Control either based on volume or price within a user-defined lookback period. It plots a histogram (profile) that highlights the level at which the most trading activity has occurred, helping to identify key support and resistance levels. Basic Logic Overview: - Data Compilation: Gathers high, low, and volume (if volume profile selected) data within the lookback period. - Histogram Calculation: Divides the price range into bins (as specified by resolution), counting hits in each bin to find the most frequented price level. - POC Identification: The price level with the highest concentration of hits (or volume) is marked as the POC. - Trend MA (Optional): If enabled, the indicator plots a moving average of the POC for trend analysis. By integrating the Rolling Point of Control into your charting toolkit, you can significantly enhance your market analysis and potentially increase the accuracy of your trading decisions. Whether you're day trading or looking at longer time frames, this indicator offers a detailed, customizable perspective on market dynamics. 🌍💹
อินดิเคเตอร์ Pine Script®
โดย AlgoAlpha
13
Fine-tune Inputs: Fourier Smoothed Volume zone oscillator WFSVZ0Use this Strategy to Fine-tune inputs for the (W&)FSVZ0 Indicator. Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data. I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame. MEANINGFUL DESCRIPTION: The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction. The Wavelet & Fourier Smoothed Volume Zone Oscillator (W&)FSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the Discrete Fourier Transform . Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends. By combining the Wavalet and Fourier aproximation with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions. HOW TO USE THE INDICATOR: The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well) The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in a natural trend. HOW TO USE THE STRATEGY: Here you fine-tune the inputs until you find a combination that works well on all Timeframes you will use when creating your Automated Trade Algorithmic Strategy. I suggest 4h, 12h, 1D, 2D, 3D, 4D, 5D, 6D, W and M. When I ndicator/Strategy returns 0 or natural trend , Strategy Closes All it's positions. ORIGINALITY & USFULLNESS: Personal combination of Fourier and Wavalet aproximation of a price which results in less noise Volume Zone Oscillator. The Wavelet Transform is a powerful mathematical tool for signal analysis, particularly effective in analyzing signals with varying frequency or non-stationary characteristics. It dissects a signal into wavelets, small waves with varying frequency and limited duration, providing a multi-resolution analysis. This approach captures both frequency and location information, making it especially useful for detecting changes or anomalies in complex signals. The Discrete Fourier Transform (DFT) is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element. This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding. DETAILED DESCRIPTION: My detailed description of the indicator and use cases which I find very valuable. What is oscillator? Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets. What is volume zone oscillator? Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price. Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average. What does this mean? If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely. If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely. Rising means that VZO on close is higher than the previous day. Falling means that VZO on close is lower than the previous day. What if VZO is falling above 0 line? It means we have a high probability of a bearish trend. Thus the indicator returns 0 and Strategy closes all it's positions when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend. In the next Image you can see that trend is negative on 4h, negative on 12h and positive on 1D. That means trend is negative. I am sorry, the chart is a bit messy. The idea is to use the indicator over more than 1 Timeframe. What is approximation and smoothing? They are mathematical concepts for making a discrete set of numbers a continuous curved line. Fourier and Wavelet approximation of a close price are taken from aprox library. Key Features: You can tailor the Indicator/Strategy to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length. Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification. Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics. Choose between the traditional Fast Fourier Transform (FFT) , the innovative Double Discrete Fourier Transform (DTF32) and Wavelet soothed Fourier soothed price series to suit your analytical needs. Image of Wavelet transform with FAST settings, Double Fourier transform with FAST settings. Improved noice reduction with SLOW settings, and standard FSVZO with SLOW settings: Fast setting are setting by default: VZO length = 2 NoiceR max Length = 2 Slow settings are: VZO length = 5 or 7 NoiceR max Length = 8 As you can see fast setting are more volatile. I suggest averaging fast setting on 4h 12h 1d 2d 3d 4d W and M Timeframe to get a clear view on market trend. What if I want long only when VZO is rising and above 15 not 0? You have set Setting VzoDifference to 15. That reduces the number of trend changes. Example of W&FSVZO with VzoDifference 15 than 0: VZO crossed 0 line but not 15 line and that's why Indicator returns 0 in one case an 1 in another. What is Smooth length setting? A way of calculating Bullish or Bearish (W&)FSVZO . If smooth length is 2 the trend is rising if: rising = VZO > ta.ema(VZO, 2) Meaning that we check if VZO is higher that exponential average of the last 2 elements. If smooth length is 1 the trend is rising if: rising = VZO_ > VZO_ Use this Strategy to fine-tune inputs for the (W&)FSVZO Indicator. (Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data) I suggest using " Close all " input False when fine-tuning Inputs for 1 TimeFrame . When you export data to Excel/Numbers/GSheets I suggest using " Close all " input as True , except for the lowest TimeFrame . I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
กลยุทธ์ Pine Script®
โดย AutomatedTradingAlgorithms
Wavelet & Fourier Smoothed Volume zone oscillator (W&)FSVZO Indicator id: USER;e7a774913c1242c3b1354334a8ea0f3c (only relevant to those that use API requests) MEANINGFUL DESCRIPTION: The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction. The Wavelet & Fourier Smoothed Volume Zone Oscillator (W&)FSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the Discrete Fourier Transform. Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends. By combining the Wavalet and Fourier aproximation with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions. HOW TO USE THE INDICATOR: The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well) The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in natural trend. ORIGINALITY & USFULLNESS: Personal combination of Fourier and Wavalet aproximation of a price which results in less noise Volume Zone Oscillator. The Wavelet Transform is a powerful mathematical tool for signal analysis, particularly effective in analyzing signals with varying frequency or non-stationary characteristics. It dissects a signal into wavelets, small waves with varying frequency and limited duration, providing a multi-resolution analysis. This approach captures both frequency and location information, making it especially useful for detecting changes or anomalies in complex signals. The Discrete Fourier Transform (DFT) is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element. This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding. DETAILED DESCRIPTION: My detailed description of the indicator and use cases which I find very valuable. What is oscillator? Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets. What is volume zone oscillator? Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price. Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average. What does this mean? If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely. If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely. Rising means that VZO on close is higher than the previous day. Falling means that VZO on close is lower than the previous day. What if VZO is falling above 0 line? It means we have a high probability of a bearish trend. Thus the indicator returns 0 when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend. In the next Image you can see that trend is positive on 4h, neutral on 12h and positive on 1D. That means trend is positive. I am sorry, the chart is a bit messy. The idea is to use the indicator over more than 1 Timeframe. What is approximation and smoothing? They are mathematical concepts for making a discrete set of numbers a continuous curved line. Fourier and Wavelet approximation of a close price are taken from aprox library. Key Features: You can tailor the indicator to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length. Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification. Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics. Choose between the traditional Fast Fourier Transform (FFT), the innovative Double Discrete Fourier Transform (DTF32) and Wavelet soothed Fourier soothed price series to suit your analytical needs. Image of Wavelet transform with FAST settings, Double Fourier transform with FAST settings. Improved noice reduction with SLOW settings, and standard FSVZO with SLOW settings: Fast setting are setting by default: VZO length = 2 NoiceR max Length = 2 Slow settings are: VZO length = 5 or 7 NoiceR max Length = 8 As you can see fast setting are more volatile. I suggest averaging fast setting on 4h 12h 1d 2d 3d 4d W and M Timeframe to get a clear view on market trend. What if I want long only when VZO is rising and above 15 not 0? You have set Setting VzoDifference to 15. That reduces the number of trend changes. Example of W&FSVZO with VzoDifference 15 than 0: VZO crossed 0 line but not 15 line and that's why Indicator returns 0 in one case an 1 in another. What is Smooth length setting? A way of calculating Bullish or Bearish FSVZO. If smooth length is 2 the trend is rising if: rising = VZO > ta.ema(VZO, 2) Meaning that we check if VZO is higher that exponential average of the last 2 elements. If smooth length is 1 the trend is rising if: rising = VZO_ > VZO_ Rising is boolean value, meaning TRUE if rising and FALSE if falling. Mathematical equations presented in Pinescript: Fourier of the real (x axis) discrete: x_0 = array.get(x, 0) + array.get(x, 1) + array.get(x, 2) x_1 = array.get(x, 0) + array.get(x, 1) * math.cos( -2 * math.pi * _dir / 3 ) - array.get(y, 1) * math.sin( -2 * math.pi * _dir / 3 ) + array.get(x, 2) * math.cos( -4 * math.pi * _dir / 3 ) - array.get(y, 2) * math.sin( -4 * math.pi * _dir / 3 ) x_2 = array.get(x, 0) + array.get(x, 1) * math.cos( -4 * math.pi * _dir / 3 ) - array.get(y, 1) * math.sin( -4 * math.pi * _dir / 3 ) + array.get(x, 2) * math.cos( -8 * math.pi * _dir / 3 ) - array.get(y, 2) * math.sin( -8 * math.pi * _dir / 3 ) Euler's Noice reduction with both close and Discrete Furrier approximated price. w = (dft1*src - dft1 *src ) / math.sqrt(math.pow(math.abs(src- src ),2) + math.pow(math.abs(dft1 - dft1 ),2)) filt := na(filt ) ? 0 : c1 * (w*dft1 + nz(w *dft1 )) / 2.0 /math.abs(dft1 -dft1 ) + c2 * nz(filt ) - c3 * nz(filt ) Usecase: First option: Select the preferred version of DFT and noise reduction settings based on your analysis requirements. Leverage the script to identify Bullish and Bearish trends, shown with green and red triangle. Combine Different Timeframes to accurately determine market trend. Second option: Pull the data with API sockets to automate your trading journey. plot(close, title="ClosePrice", display=display.status_line) plot(open, title="OpenPrice", display=display.status_line) plot(greencon ? 1 : redcon ? -1 : 0, title="position", display=display.status_line) Use ClosePrice, OpenPrice and "position" titles to easily read and backtest your strategy utilising more than 1 Time Frame. Indicator id: USER;e7a774913c1242c3b1354334a8ea0f3c (only relevant to those that use API requests)
อินดิเคเตอร์ Pine Script®
โดย AutomatedTradingAlgorithms
8
Aroon and ASH strategy - ETHERIUM [IkkeOmar]Intro: This post introduces a Pine Script strategy, as an example if anyone needs a push to get started. This example is a strategy on ETH, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay. This strategy combines two technical indicators: Aroon and Absolute Strength Histogram (ASH). Overview: The strategy employs the Aroon indicator alongside the Absolute Strength Histogram (ASH) to determine market trends and potential trade setups. Aroon helps identify the strength and direction of a trend, while ASH provides insights into the strength of momentum. By combining these indicators, the strategy aims to capture profitable trading opportunities in Ethereum markets. Normally when developing strats using indicators, you want to find some good indicators, but you NEED to understand their strengths and weaknesses, other indicators can be incorporated to minimize the downs of another indicator. Try to look for synergy in your indicators! Indicator settings: Aroon Indicator: - Two sets of parameters are used for the Aroon indicator: - For Long Positions: Aroon periods are set to 56 (upper) and 20 (lower). - For Short Positions: Aroon periods are set to 17 (upper) and 55 (lower). Absolute Strength Histogram (ASH): ASH is calculated with a length of 9 bars using the closing price as the data source. Trading Conditions: The strategy incorporates specific conditions to initiate and exit trades: Start Date: Traders can specify the start date for backtesting purposes. Trade Direction: Traders can select the desired trade direction: Long, Short, or Both. Entry and Exit Conditions: 1. Long Position Entry: A long position is initiated when the Aroon indicator crosses over (crossover) the lower Aroon threshold, indicating a potential uptrend. 2. Long Position Exit: A long position is closed when the Aroon indicator crosses under (crossunder) the lower Aroon threshold. 3. Short Position Entry: A short position is initiated when the Aroon indicator crosses under (crossunder) the upper Aroon threshold, signaling a potential downtrend. 4. Short Position Exit: A short position is closed when the Aroon indicator crosses over (crossover) the upper Aroon threshold. Disclaimer: THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script! The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it!
กลยุทธ์ Pine Script®
โดย IkkeOmar
Instant MACD (IMACD)The "Instant MACD" is a tailored version of the traditional Moving Average Convergence Divergence indicator, specifically designed to begin plotting with minimal data, such as in cases of high timeframe charts or newly listed trading instruments. Unlike the standard MACD that requires a substantial amount of data to provide accurate readings, the Instant MACD can deliver insights with as few as two candlesticks. This iteration of the MACD utilizes the Chebyshev filter for the computation of both the fast and slow moving averages as well as for the signal line. The Chebyshev filter is known for its effectiveness in smoothing data series and reducing ripple effects, which is particularly advantageous when working with limited datasets. The Instant MACD comprises several components. The histogram, which illustrates the difference between the MACD line and the signal line, adjusts its color based on the directional momentum; it transitions between shades of green and red as the histogram moves above or below the zero line and increases or decreases in value. The MACD line, depicted in blue, represents the disparity between the fast and slow Chebyshev moving averages. Complementing it is the signal line in orange, which is a Chebyshev-filtered mean of the MACD line and serves as an indicator of potential momentum shifts. Additionally, the indicator includes a zero line for reference, aiding in the visualization of the convergence or divergence of the MACD and signal lines. To enhance its utility, the script encompasses alert conditions to notify users when there is a change in the trend of the histogram—specifically, when it transitions from a rising to a falling state and vice versa, potentially indicating shifts in market momentum. Overall, the Instant MACD is an innovative tool for traders who require early trend signals in scenarios where traditional MACD analysis might be hampered by the lack of extensive historical data. tl;dr this is identical to the regular macd but it starts working almost instantly.
อินดิเคเตอร์ Pine Script®
โดย The_Peaceful_Lizard
7
BTC - Hotness Index### Script Description #### BTC - Hotness Index This Pine Script, version 4, aims to generate a "Hotness Index" for Bitcoin (BTC) trading by utilizing a Pi Cycle Top Indicator. The script operates in a daily (`1D`) time frame and involves calculating two Simple Moving Averages (SMA) based on `close` prices: - 111-day SMA (`D_111SMA`) - 350-day SMA (`D_350SMA`) multiplied by 2 The primary indicator (`pi_indicator`) is derived by dividing `D_111SMA` by `D_350SMA`. ##### Sell Signal A sell signal is plotted as a histogram if `pi_indicator` crosses above 1 (`pi_plot` variable). ##### Buy Signal A buy signal is plotted as a histogram if `pi_indicator` crosses below 0.35 (`pi_plot_buy` variable). ##### Horizontal Lines Two horizontal lines are included to denote the "Buy Zone" and "Sell Zone": - "Sell Zone" at `pi_indicator` level of 1 - "Buy Zone" at `pi_indicator` level of 0.35 ##### Plotting Histogram plots are used for visualizing the signals: - Sell signals are colored red (`RGB: 255, 59, 59`) - Buy signals are colored green (`RGB: 82, 255, 59`) This script provides traders a visual guide for potential buy/sell opportunities based on the Pi Cycle Top Indicator and the Hotness Index for Bitcoin. It operates under the terms of the Mozilla Public License 2.0.
อินดิเคเตอร์ Pine Script®
โดย dakixr
MACD HIstgramMA signl CrossingThis indicator highlights points where the MACD's Signal and Simple Moving Average of Histogram cross as entry points. By incorporating the Simple Moving Average of the Histogram, it aims to avoid false entries during MACD and Signal crosses when volatility is low. However, since it employs the Simple Moving Average of the Histogram, the appearance of entry points is less frequent and lagging compared to the cross of MACD and Signal.
อินดิเคเตอร์ Pine Script®
โดย JFX_TV
Filtered Volume Profile [ChartPrime]The "Filtered Volume Profile" is a powerful tool that offers insights into market activity. It's a technical analysis tool used to understand the behavior of financial markets. It uses a fixed range volume profile to provide a histogram representing how much volume occurred at distinct price levels. Profile in action with various significant levels displayed How to Use The script is designed to analyze cumulative trading volumes in different price bins over a certain period, also known as `'lookback'`. This lookback period can be defined by the user and it represents the number of bars to look back for calculating levels of support and resistance. The `'Smoothing'` input determines the degree to which the output is smoothed. Higher values lead to smoother results but may impede the responsiveness of the indicator to rapid changes in volatility. The `'Peak Sensitivity'` input is used to adjust the sensitivity of the script's peak detection algorithm. Setting this to a lower value makes the algorithm more sensitive to local changes in trading volume and may result in "noisier" outputs. The `'Peak Threshold'` input specifies the number of bins that the peak detection mechanism should account for. Larger numbers imply that more volume bins are taken into account, and the resultant peaks are based on wider intervals. The `'Mean Score Length'` input is used for scaling the mean score range. This is particularly important in defining the length of lookback bars that will be used to calculate the average close price. Sinc Filter The application of the sinc-filter to the Filtered Volume Profile reduces the risk of viewing artefacts that may misrepresent the underlying market behavior. Sinc filtering is a high-quality and sharp filter that doesn't manifest any ringing effects, making it an optimal choice for such volume profiling. Histogram On the histogram, the volume profile is colored based on the balance of bullish to bearish volume. If a particular bar is more intense in color, it represents a larger than usual volume during a single price bar. This is a clear signal of a strong buying or selling pressure at a particular price level. Threshold for Peaks The `peak_thresh` input determines the number of bins the algorithm takes in account for the peak detection feature. The 'peak' represents the level where a significant amount of volume trading has occurred, and usually is of interest as an indicative of support or resistance level. By increasing the `peak_thresh`, you're raising the bar for what the algorithm perceives as a peak. This could result in fewer, but more significant peaks being identified. History of Volume Profiles and Evolution into Sinc Filtering Volume profiling has a rich history in market analysis, dating back to the 1950s when Richard D. Wyckoff, a legendary trader, introduced the concept of volume studies. He understood the critical significance of volume and its relationship with market price movement. The core of Wyckoff's technical analysis suite was the relationship between prices and volume, often termed as "Effort vs Results". Moving forward, in the early 1800s, the esteemed mathematician J. R. Carson made key improvements to the sinc function, which formed the basis for sinc filtering application in time series data. Following these contributions, trading studies continued to create and integrate more advanced statistical measures into market analysis. This culminated in the 1980s with J. Peter Steidlmayer’s introduction of Market Profile. He suggested that markets were a function of continuous two-way auction processes thus introducing the concept of viewing markets in price/time continuum and price distribution forms. Steidlmayer's Market Profile was the first wide-scale operation of organized volume and price data. However, despite the introduction of such features, challenges in the analysis persisted, especially due to noise that could misinform trading decisions. This gap has given rise to the need for smoothing functions to help eliminate the noise and better interpret the data. Among such techniques, the sinc filter has become widely recognized within the trading community. The sinc filter, because of its properties of constructing a smooth passing through all data points precisely and its ability to eliminate high-frequency noise, has been considered a natural transition in the evolution of volume profile strategies. The superior ability of the sinc filter to reduce noise and shield against over-fitting makes it an ideal choice for smoothing purposes in trading scripts, particularly where volume profiling forms the crux of the market analysis strategy, such as in Filtered Volume Profile. Moving ahead, the use of volume-based studies seems likely to remain a core part of technical analysis. As long as markets operate based on supply and demand principles, understanding volume will remain key to discerning the intent behind price movements. And with the incorporation of advanced methods like sinc filtering, the accuracy and insight provided by these methodologies will only improve. Mean Score The mean score in the Filtered Volume Profile script plays an important role in probabilistic inferences regarding future price direction. This score essentially characterizes the statistical likelihood of price trends based on historical data. The mean score is calculated over a configurable `'Mean Score Length'`. This variable sets the window or the timeframe for calculation of the mean score of the closing prices. Statistically, this score takes advantage of the concept of z-scores and probabilities associated with the t-distribution (a type of probability distribution that is symmetric and bell-shaped, just like the standard normal distribution, but has heavier tails). The z-score represents how many standard deviations an element is from the mean. In this case, the "element" is the price level (Point of Control). The mean score section of the script calculates standard errors for the root mean squared error (RMSE) and addresses the uncertainty in the prediction of the future value of a random variable. The RMSE of a model prediction concerning observed values is used to measure the differences between values predicted by a model and the values observed. The lower the RMSE, the better the model is able to predict. A zero RMSE means a perfect fit to the data. In essence, it's a measure of how concentrated the data is around the line of best fit. Through the mean score, the script effectively predicts the likelihood of the future close price being above or below our identified price level. Summary Filtered Volume Profile is a comprehensive trading view indicator which utilizes volume profiling, peak detection, mean score computations, and sinc-filter smoothing, altogether providing the finer details of market behavior. It offers a customizable look back period, smoothing options, and peak sensitivity setting along with a uniquely set peak threshold. The application of the Sinc Filter ensures a high level of accuracy and noise reduction in volume profiling, making this script a reliable tool for gaining market insights. Furthermore, the use of mean score calculations provides probabilistic insights into price movements, thus providing traders with a statistically sound foundation for their trading decisions. As trading markets advance, the use of such methodologies plays a pivotal role in formulating effective trading strategies and the Filtered Volume Profile is a successful embodiment of such advancements in the field of market analysis.
อินดิเคเตอร์ Pine Script®
โดย ChartPrime
18
P/VF BollThis code draws a custom indicator named "P/VF Boll" on the price chart with the following visual elements: 1. **Basis Line (Blue)**: This line represents the moving average value (ma_value) calculated based on the user-selected moving average type (SMA, EMA, or WMA) and length. 2. **Upper Bands (Green)**: The upper bands are calculated by adding a certain multiple of the standard deviation (dev1 to dev12) to the basis line. These bands represent a certain level of price volatility above the moving average. 3. **Lower Bands (Red)**: The lower bands are calculated by subtracting a certain multiple of the standard deviation (dev1 to dev12) from the basis line. These bands represent a certain level of price volatility below the moving average. 4. **Histogram (White and Gray)**: A histogram is drawn only when the average_price_change values are outside the 3rd standard deviation (dev3) and beyond. The histogram color alternates between white and gray, indicating higher price volatility. The user can customize the following parameters: - Average Length: The length of the moving average. - Moving Average Type: The type of moving average to be used (SMA, EMA, or WMA). - Timeframe: The timeframe used to calculate volume data. - Deviation 1 to Deviation 12: Multipliers for calculating the upper and lower bands. The purpose of this indicator is to visually represent the relationship between price volatility, volume, and the moving average, allowing traders to assess potential price breakouts or reversals when the price moves beyond certain levels of standard deviations from the moving average.
อินดิเคเตอร์ Pine Script®
โดย Unjuno
1
ARSIXARSIX I have written this indicator after two years of continuous experience in writing and backtesting for several different indicators, and I believe that this indicator with its high capabilities can show you the best point of entry into the market as well as exit from it. arsix should work with any time frame and any instrument used. This indicator has many points to understand so that you can make the best possible use of it, in the following I will try to bring you some of the most important points: First, we will have an introduction of the different parts of the indicator: The above line is a relatively simple but very useful formula to determine the momentum of chart. To understand the exact formula, you can refer to the source of the program itself, and its two colors are used to determine the direction of movement. At the bottom, we have three opposing elements. The first is the RSI14 line with dark blue color, the second is the RMA or Relative Momentum Index(RMI20) line with the number 20 for Momentum , which will significantly help us understand the overall momentum of the chart, this part is also made in two colors to increase or It will show the decline of the overall momentum of the chart. And finally, we have a bar chart that is again created in two colors, and this histogram also calculates the momentum chart with a different formula. And now let's talk about how to interpret these tools and how to use them for Trading: At first, you may have the question that all these different indicators are not excessive to determine the momentum chart and are all of them necessary? In response, I must say that yes, each of these parts has been selected and made with great care and with my previous experience, the full explanation of each of these parts is beyond the scope of this article, and I will try to explain it in short words. I will give you a general understanding of each one of them and the rest is up to you to find out their capabilities by working more with these tools. The main thing is to know that none of these tools alone will bring you success and it is their teamwork together that will help you achieve success. For the sake of simplicity, I will tell you when to open a buy position with this indicator And you can then use this definition of the main thread to interpret the rest of the capabilities of this indicator. To open a buy position, first the upper indicator should turn light blue, at the same time, the RMI indicator should also turn light blue, and you should also see that this RMI indicator shows the momentum of the overall chart in order to increase. in this case you will be almost sure that the general trend of the chart is towards the rise of the price. In the next step, to determine the exact point of the Entry, you have to wait until the RSI indicator passes the number 50 in this state and at the same time, make sure that the histogram also turns green and shows the increasing direction of momentum in the market, when the RSI is in This state crossed the number 50, you can enter the buy position, it should be noted that due to a series of restrictions, I have moved the RSI indicator down by 50 numbers, so as a result, the number 50 for RSI here is equivalent to The same number zero. This was an example of how to work with this indicator, I hope that it helped you to understand how to use this indicator. In the end, I would like to point out again that the main topic is understanding the group and mutual behavior of each of the indicators' tools together. For example, if the RSI indicator crosses the number 50 here, but the histogram does not grow or shows a small growth, this indicates that the movement will be low, or for another example, if the RSI indicator cross over From the RMI indicator, This means that the market is very high, and as a result, it is a great opportunity to hold a buy position. In the same way, other parts of this indicator can also be interpreted in opposition to each other. I hope this indicator will help you in better trades. I look forward to your constructive comments. Thanks Hamid Moradi.
อินดิเคเตอร์ Pine Script®
โดย morady0hamid