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Buy vs Sell VolumeHow It Works: BuyVol: Estimates buying volume by calculating the proportion of volume attributed to the upward price movement within each bar. SellVol: Estimates selling volume by calculating the proportion of volume attributed to the downward price movement within each bar. Customization: length: You can adjust the length input parameter to change the period over which the average is calculated. Visualization: The buy trendline is plotted in Green and represents the average net buying vs. selling volume over the specified period. The sell trendline is plotted in Red and represents the average net selling vs. buying volume over the specified period. Note: This script provides an approximation and should be used in conjunction with other analysis tools to make informed trading decisions.
Penunjuk Pine Script™
oleh DinoTradez
utilsLibrary "utils" Few essentials captured together (subset of arrayutils) timer(timeStart, timeEnd)   finds difference between two timestamps   Parameters:      timeStart (int) : start timestamp      timeEnd (int)   Returns: method check_overflow(pivots, barArray, dir)   finds difference between two timestamps   Namespace types: array   Parameters:      pivots (array) : pivots array      barArray (array) : pivot bar array      dir (int) : direction for which overflow need to be checked   Returns: bool overflow method get_trend_series(pivots, length, highLow, trend)   finds series of pivots in particular trend   Namespace types: array   Parameters:      pivots (array) : pivots array      length (int) : length for which trend series need to be checked      highLow (int) : filter pivot high or low      trend (int) : Uptrend or Downtrend   Returns: int trendIndexes method get_trend_series(pivots, firstIndex, lastIndex)   finds series of pivots in particular trend   Namespace types: array   Parameters:      pivots (array) : pivots array      firstIndex (int) : First index of the series      lastIndex (int) : Last index of the series   Returns: int trendIndexes getConsolidatedLabel(include, labels, separator)   Consolidates labels into single string by concatenating it with given separator   Parameters:      include (array) : array of conditions to include label or not      labels (array) : string array of labels      separator (string) : Separator for concatenating labels   Returns: string labelText method getColors(theme)   gets array of colors based on theme   Namespace types: series Theme   Parameters:      theme (series Theme) : dark or light theme   Returns: color themeColors
Perpustakaan Pine Script™
oleh Trendoscope
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)
Perpustakaan Pine Script™
oleh crypto_pumpppp
Flag Screener [QuantVue]Flag Screener is a screening tool that identify bull and bear flags in up to 40 different symbols. The indicator takes a comma separated list of symbols and then scans the symbols in real time to detect bull or bear flags. What are flags Flags are continuation patterns that occur within the general trend of the security. A bull flag represents a temporary pause or consolidation before price resumes it's upward movement, while a bear flag occurs before price continues its downward movement. Both flag patterns consist of two components: The Pole The Flag The pole is the initial strong upward surge or decline that precedes the flag. The pole is usually a fast move accompanied by heavy volume signaling significant buying or selling pressure. The flag is then formed as price consolidates after the initial surge or decline from the pole. For a bull flag price will drift slightly downward to sideways, a bear flag will drift upward to sideways. The best flags often see volume dry up during this phase of the pattern. Indicator Settings Both components are fully customizable in the indicator so the user can adjust for any time frame or volatility. Select the minimum and maximum accepted limits from the % gain loss required for the pole, the maximum acceptable flag depth or rally and the minimum and maximum number of bars for each component.
Penunjuk Pine Script™
oleh QuantVue
USDT.D Volatility TrackerUSDT.D Volatility Tracker Description: This script is designed to track the volatility of USDT.D (US Dollar in cryptocurrency) on the TradingView platform. It uses a moving average and deviation from it to generate buy and sell signals, helping traders visualize changes in volatility and make informed decisions. Input Parameters: maPeriod: The period of the moving average (default 120). This parameter allows users to adjust the length of the period used to calculate the moving average. devThreshold: The deviation threshold (default 0.6). This parameter defines the level of deviation that will trigger buy or sell signals. Data Request: The script requests closing data for USDT.D using the request.security function, allowing it to retrieve up-to-date data on the selected timeframe. Moving Average and Deviation Calculation: An exponential moving average (EMA) is used to calculate the deviation from the moving average, enabling the identification of current volatility. Deviation Line Display: The deviation rate line is displayed on the chart, allowing users to visually track changes in volatility. Signal Generation: If the deviation exceeds the set threshold (devThreshold), a buy signal is generated (green background). If the deviation falls below the negative threshold (-devThreshold), a sell signal is generated (red background). Visual Signals: Buy signals are displayed on the chart as green triangles, while sell signals are displayed as red triangles. This helps traders quickly identify potential entry and exit points.
Penunjuk Pine Script™
oleh IANCURTISS
Eze Profit Range Detection FilterThe Range Detection Filter is a technical analysis tool designed to help traders identify range-bound market conditions and focus on breakout opportunities. It combines the ATR (Average True Range) for volatility analysis and the ADX (Average Directional Index) for trend strength evaluation to highlight consolidation phases and alert traders when the market is ready to break out. This indicator provides visual cues and customizable alerts, making it suitable for traders looking to avoid false signals during choppy markets and capitalize on trending moves following a breakout. What Makes It Unique? ATR for Volatility: Measures market volatility by comparing ATR with its moving average. Consolidation phases are flagged when ATR remains below its moving average for a sustained period. ADX for Trend Strength: Monitors trend strength, confirming range-bound conditions when ADX falls below a user-defined threshold (default: 20). Combines with ATR to ensure accurate detection of trendless periods. Breakout Alerts: Notifies traders of breakout opportunities when the price moves outside the highest high or lowest low of the range. How It Works: Range Detection: The market is considered "in range" when: ATR is below its moving average, indicating low volatility. ADX is below the threshold, confirming a lack of trend strength. Visual Indication: A yellow background highlights range-bound conditions, allowing traders to avoid low-probability trades. Breakout Detection: Alerts are triggered for breakouts above or below the range to help traders identify potential opportunities. Features: Range Highlighting: Automatically detects and highlights range-bound markets using a yellow background. Breakout Alerts: Sends alerts for breakouts above or below the range once the market exits consolidation. Customizable Inputs: ATR length, moving average length, and ADX parameters are fully adjustable to adapt to various trading styles and asset classes. Multi-Timeframe Compatibility: Suitable for all markets and timeframes, including stocks, forex, and cryptocurrencies. How to Use: Identify Ranges: Avoid trading when the yellow background appears, signaling a range-bound market. Focus on Breakouts: Look for alerts indicating breakouts above or below the range for potential trending opportunities. Combine with Other Indicators: Use volume analysis, momentum oscillators, or candlestick patterns to confirm breakout signals. Credits: This script utilizes widely accepted methodologies for ATR and ADX calculations. ADX is calculated manually using directional movement (+DI and -DI) for precise trend detection. The concept has been adapted and enhanced to create this comprehensive range-detection tool. Notes: This indicator is intended for educational purposes and should not be used as standalone financial advice. Always incorporate this tool into a broader trading strategy for optimal results.
Penunjuk Pine Script™
oleh ikeigwe1
Customizable Psychological LevelsThe Customizable Psychological Levels indicator is designed to simplify the process of marking psychological levels on your chart without the need to manually add lines. Psychological levels are critical price zones where market participants often make decisions, such as round numbers or price levels that align with key technical analysis thresholds. This indicator offers a fully automated way to plot these levels, with customizable options for intervals, colors, line thickness, and styles. Traders can focus more on their analysis and decision-making while relying on this tool to display consistent and accurate psychological levels across different timeframes. Key Features: Automated Level Drawing: Major, intermediate, and minor levels are plotted automatically based on user-defined intervals. No need to draw lines manually, saving time and ensuring precision. Customizable Settings: Choose intervals for each level type (major, intermediate, minor). Select unique colors, line thickness, and styles (solid, dashed, or dotted) to distinguish levels visually. Non-Overlapping Levels: Includes an option to prevent overlapping levels, ensuring a clean and organized chart. Dynamic or Fixed Levels: Levels adjust dynamically to the chart’s price range, making them suitable for various instruments and timeframes. Benefits: Enhances productivity by automating the process of marking psychological levels. Offers a highly customizable and visually appealing solution for traders who rely on psychological levels in their trading strategies. Helps traders quickly identify critical price zones and make informed decisions. This tool is perfect for both beginner and experienced traders who want to streamline their workflow while maintaining a professional and systematic approach to technical analysis.
Penunjuk Pine Script™
oleh telmo1052
EMA with Supply and Demand Zones The EMA with Supply and Demand Strategy is a trend-following trading approach that integrates Exponential Moving Averages (EMA) with supply and demand zones to identify potential entry and exit points. Below is a detailed description of its components and logic: Key Components of the Strategy 1. EMA (Exponential Moving Average) The EMA is used as a trend filter: Bullish Trend: Price is above the EMA. Bearish Trend: Price is below the EMA. The EMA ensures that trades align with the overall market trend, reducing counter-trend risks. 2. Supply and Demand Zones Demand Zone: Represents areas where the price historically found support (buyers dominated). Calculated using the lowest low over a specified lookback period. Used for identifying potential long entry points. Supply Zone: Represents areas where the price historically faced resistance (sellers dominated). Calculated using the highest high over a specified lookback period. Used for identifying potential short entry points. 3. Trade Conditions Long Trade: Triggered when: The price is above the EMA (bullish trend). The low of the current candle touches or penetrates the most recent demand zone. Short Trade: Triggered when: The price is below the EMA (bearish trend). The high of the current candle touches or penetrates the most recent supply zone. 4. Exit Conditions Long Exit: Exit the trade when the price closes below the EMA, indicating a potential trend reversal. Short Exit: Exit the trade when the price closes above the EMA, signaling a potential upward reversal. Visual Representation EMA: A blue line plotted on the chart to show the trend. Supply Zones: Red horizontal lines representing potential resistance levels. Demand Zones: Green horizontal lines representing potential support levels. These zones dynamically adjust to reflect the most recent 3 levels. How the Strategy Works Trend Identification: The EMA determines the direction of the trade: Look for long trades only in a bullish trend (price above EMA). Look for short trades only in a bearish trend (price below EMA). Entry Points: Wait for price interaction with a supply or demand zone: If the price touches a demand zone during a bullish trend, initiate a long trade. If the price touches a supply zone during a bearish trend, initiate a short trade. Risk Management: The strategy exits trades if the price moves against the trend (crosses the EMA). This ensures minimal exposure during adverse market movements. Benefits of the Strategy Trend Alignment: Reduces counter-trend trades, improving the win rate. Clear Entry and Exit Rules: Combines price action (zones) with a reliable trend filter (EMA). Dynamic Levels: The supply and demand zones adapt to changing market conditions. Customization Options EMA Length: Adjust to suit different timeframes or market conditions (e.g., 20 for faster trends, 50 for slower trends). Lookback Period: Fine-tune to capture broader or narrower supply and demand zones. Risk/Reward Preferences: Pair the strategy with stop-loss and take-profit levels for enhanced control. This strategy is ideal for traders looking for a structured approach to identify high-probability trades while aligning with the prevailing trend. Backtest and optimize parameters based on your trading style and the specific asset you're tradin
Penunjuk Pine Script™
oleh szepattila43
Candle Pair Markerin a 5 minute time frame the identify two consecutive candles where the body of the first candle should be in side the high and low of the second candle and the body of the second candle should be inside the high and low of the first candle. draw a dotted line to mark the highiest high and lowest low of the couple candle. and calculate the difference between the two highest high and the lowest low and devide it by 2 and add this value to the highest high and subtract from the lowest low. and draw a green line on the high value and red line for the low value
Penunjuk Pine Script™
oleh jaidasputhanveetil777
Rate of Change of OBV with RSI ColorThis indicator combines three popular tools in technical analysis : On-Balance Volume (OBV), Rate of Change (ROC), and Relative Strength Index (RSI). It aims to monitor momentum and potential trend reversals based on volume and price changes. Calculation: ROC(OBV) = ((OBV(today) - OBV(today - period)) / OBV(today - period)) * 100 This calculates the percentage change in OBV over a specific period. A positive ROC indicates an upward trend in volume, while a negative ROC suggests a downward trend. What it Monitors: OBV: Tracks the volume flow associated with price movements. Rising OBV suggests buying pressure, while falling OBV suggests selling pressure. ROC of OBV: Measures the rate of change in the OBV, indicating if the volume flow is accelerating or decelerating. RSI: Measures the strength of recent price movements, indicating potential overbought or oversold conditions. How it can be Used: Identifying Trend Continuation: Rising ROC OBV with a rising RSI might suggest a continuation of an uptrend, especially if the color is lime (RSI above 60). Identifying Trend Reversal: Falling ROC OBV with a declining RSI might suggest a potential trend reversal, especially if the color approaches blue (RSI below 40). Confirmation with Threshold: The horizontal line (threshold) can be used as a support or resistance level. Bouncing ROC OBV off the threshold with a color change could suggest a pause in the trend but not necessarily a reversal. When this Indicator is Useful: This indicator can be useful for assets with strong volume activity, where tracking volume changes provides additional insights. It might be helpful during periods of consolidation or trend continuation to identify potential breakouts or confirmations.
Penunjuk Pine Script™
oleh Tradernawab
1
Divides company with IndexOverview: This indicator simplifies the comparison of a stock's performance against a specified index, such as the Nifty 50. By calculating and plotting the ratio between the two, it provides a clear visual representation of relative strength. Key Features: -Direct Comparison: Easily compare any stock against a selected index. -Customizable Index: Choose from a dropdown menu or input a custom index symbol. -Visual Clarity: Maximizing the chart provides a clear view of the relative performance. -SMA Overlay: Add a Simple Moving Average (SMA) to identify trends and potential entry/exit points. -Customizable Appearance: Adjust background color, text color, and label size for personalized visualization. How to Use: Add the Indicator: Add the indicator to your chart. Select the Index: Choose the desired index from the dropdown menu or input a custom symbol. Analyze the Ratio: -A rising ratio indicates the stock is outperforming the index. -A falling ratio suggests underperformance. -The SMA can help identify potential trends and momentum. Customize the Appearance: Adjust the background color, text color, and label size to suit your preferences. Benefits: -Improved Decision Making: Gain insights into a stock's relative strength. -Faster Analysis: Quickly compare multiple stocks against a benchmark index. -Enhanced Visualization: Customize the chart for better understanding. -By leveraging this indicator, you can make informed trading decisions and gain a deeper understanding of market dynamics.
Penunjuk Pine Script™
oleh keyurgolakiya
Ichimoku Cloud +Ichimoku Cloud Plus - Advanced Technical Analysis Indicator Ichimoku Cloud Plus is an advanced technical analysis tool that combines the traditional Ichimoku Cloud system with Pearson correlation analysis and multi-timeframe momentum tracking. This innovative approach provides traders with a comprehensive view of market trends, momentum, and potential reversal points across multiple time frames. Core Components Enhanced Ichimoku Cloud Analysis The traditional Ichimoku Cloud components have been preserved and enhanced with customizable visual parameters: The indicator includes: - Conversion Line (Tenkan-sen) - Short-term trend identifier - Base Line (Kijun-sen) - Medium-term trend identifier - Leading Span A and B (Senkou Span A and B) - Future cloud projections - Lagging Span (Chikou Span) - Historical price momentum confirmation The cloud (Kumo) formations provide dynamic support and resistance levels, with color-coding to instantly identify bullish and bearish market conditions. Pearson Correlation Analysis A sophisticated Pearson correlation coefficient calculation has been integrated to provide statistical validation of trend strength and direction. This component: - Calculates correlation between price movement and time - Provides real-time correlation coefficients - Identifies trend strength through correlation thresholds - Generates signals for trend changes and potential reversals Multi-Timeframe Momentum Tracking The indicator incorporates a unique multi-timeframe analysis system that: - Displays momentum calculations across five timeframes (15m, 30m, 1h, 4h, 1d) - Provides percentage-based momentum values - Includes volatility adjustment capabilities - Offers volume-weighted calculations for enhanced accuracy Advanced Features Statistical Analysis Panel A comprehensive statistical panel provides real-time analysis including: - Current Pearson coefficient value - Correlation strength classification - Trend direction identification - Analysis period information Dynamic Alert System The indicator includes sophisticated alert conditions for: - Bearish trend initiation (positive correlation threshold breach) - Bullish trend initiation (negative correlation threshold breach) - Trend direction changes (zero-line crossovers) Visual Optimization Advanced visualization features include: - Customizable color schemes for all components - Adjustable label sizes and positions - Transparency controls for better chart visibility - Warning indicators for potential trend weakening Technical Implementation The indicator combines multiple calculation methods: - Donchian Channel calculations for Ichimoku components - Pearson correlation coefficient computation with customizable periods - EMA smoothing for momentum calculations - Volume-weighted averaging capabilities - Volatility adjustment mechanisms Trading Applications This indicator is particularly effective for: 1. Trend Direction Confirmation - Multiple timeframe analysis provides comprehensive trend validation - Pearson correlation adds statistical confidence to trend identification - Ichimoku cloud formations confirm support and resistance levels 2. Entry and Exit Point Identification - Cloud breakouts combined with correlation strength indicate potential entry points - Multi-timeframe momentum alignment helps identify high-probability trades - Warning indicators assist in timing market exits 3. Risk Management - Dynamic support and resistance levels from the cloud - Statistical trend strength measurement - Multi-timeframe confirmation reduces false signals Performance Considerations The indicator uses efficient calculations to maintain good performance while providing comprehensive analysis. The smoothing parameters and analysis periods can be adjusted to balance between responsiveness and reliability. Future Applications and Research This combination of indicators opens possibilities for: - Machine learning integration for pattern recognition - Additional statistical measures for trend validation - Enhanced alert systems based on multiple condition combinations - Further optimization of calculation methods The innovative combination of traditional Ichimoku analysis with modern statistical methods and multi-timeframe momentum tracking provides traders with a powerful tool for market analysis and decision-making.
Penunjuk Pine Script™
oleh s47marsac
Day Pattern IndicatorDay Pattern Indicator The Day Pattern Indicator is designed to help traders analyze daily trends and patterns in their selected markets. This tool highlights specific days of the week on the chart with unique, semi-transparent colored bars. Each day is customizable, allowing users to toggle the visibility of Monday through Sunday to focus on days most relevant to their trading strategy. Ideal for identifying potential patterns in cryptocurrency, forex, or stock markets, the indicator is perfect for traders seeking insights into weekday or weekend market behavior. Simple, effective, and visually intuitive!
Penunjuk Pine Script™
oleh kemalcox
Buy and Sell Signal at 50% Retracement, Based on MANDO MODELthe sell is taking out a previous high. leave some runners and practice safe trading. Explanation of Behavior: When the price retraces 50% of the defined range (from the low to high), a Buy signal is triggered. After the Buy signal, if the price moves above the previous high (after retracement), a Sell signal is triggered. Once a Sell signal is triggered, the range is reset, and a new range needs to form before another signal can be triggered. Test this: Apply the script to your chart. Check for Buy signals when the price crosses the 50% retracement level. Sell signals will trigger once the price breaks above the previous high after the retracement phase. Ensure that the signals are plotted as arrows on the chart and that the background color changes to indicate Buy or Sell. Alerts Setup: To set up alerts: Right-click on the chart and select Add Alert. For Buy Signal: Choose the condition Buy and Sell Signal at 50% Retracement with Top Break > Buy Signal. For Sell Signal: Choose the condition Buy and Sell Signal at 50% Retracement with Top Break > Sell Signal. Set your preferred alert type (popup, email, etc.). Click Create to set the alert.
Penunjuk Pine Script™
oleh soulvibeslive
1
RS Theory IndicatorHow to Use: Customize the Reference Symbol: In the settings of the indicator, you can change the referenceSymbol to the benchmark or asset you want to compare against. RS Interpretation: RS > 1: The current asset is outperforming the reference symbol. RS < 1: The current asset is underperforming the reference symbol. RS = 1: The current asset and the reference symbol are performing equally. Alerts: You can enable alerts for when the RS crosses certain levels (e.g., when RS > 1 or RS < 1). How It Works: Reference Symbol: The user inputs the benchmark asset or symbol (e.g., "SPY" for an S&P 500 ETF). This will be used as the comparison symbol. RS Calculation: The RS Value is calculated by dividing the current asset's close price by the reference asset's close price: RS = Close Price of Current Asset Close Price of Reference Asset RS= Close Price of Reference Asset Close Price of Current Asset ​ Plotting: The RS value is plotted on the chart as a line. A horizontal line at RS = 1 is drawn for easy comparison, representing parity (when the asset and reference symbol have the same price). Background Coloring: The background is colored: Green when RS > 1 (indicating the asset is outperforming the benchmark). Red when RS < 1 (indicating the asset is underperforming the benchmark). Alerts: Alerts are triggered when the RS value is above or below 1, indicating outperformance or underperformance relative to the benchmark.
Penunjuk Pine Script™
oleh aliashif
Zigzag3 -Invincible3Description: Zigzag3 - Invincible3 is a powerful and flexible support and resistance indicator for TradingView. Utilizing an enhanced ZigZag algorithm and Dow Theory principles, it detects price pivots, higher highs (HH), lower highs (LH), higher lows (HL), and lower lows (LL). The indicator draws lines and labels to visualize these pivots, making it easier to identify market structure, trends, and potential reversal points. The Length input allows traders to control the sensitivity of pivot detection. Support and Resistance Lines: Displays dotted and solid SR lines based on significant pivots to highlight key market zones. Option to extend support/resistance lines dynamically with real-time progression for the latest pivot. Labels for Dow Theory Points: Mark higher highs, lower highs, higher lows, and lower lows with customizable colors. Identifies market direction and potential breakout levels with visual clarity. ZigZag Line Visualization: Toggle the ZigZag lines to connect pivots for a better understanding of price movement. Dynamic Dotted Line Progression: A dotted line extends in real-time from the most recent significant pivot point, aiding in quick analysis. This indicator is ideal for traders looking to analyze market structure, identify trends, and spot potential reversals. It can be used as a standalone tool or in combination with other strategies for enhanced precision.
Penunjuk Pine Script™
oleh invincible3
3
Dual Strategy Selector V2 - CryptogyaniOverview: This script provides traders with a dual-strategy system that they can toggle between using a simple dropdown menu in the input settings. It is designed to cater to different trading styles and needs, offering both simplicity and advanced filtering techniques. The strategies are built around moving average crossovers, enhanced by configurable risk management tools like take profit levels, trailing stops, and ATR-based stop-loss. Key Features: Two Strategies in One Script: Strategy 1: A classic moving average crossover strategy for identifying entry signals based on trend reversals. Includes user-defined take profit and trailing stop-loss options for profit locking. Strategy 2: An advanced trend-following system that incorporates: A higher timeframe trend filter to confirm entry signals. ATR-based stop-loss for dynamic risk management. Configurable partial take profit to secure gains while letting the trade run. Highly Customizable: All key parameters such as SMA lengths, take profit levels, ATR multiplier, and timeframe for the trend filter are adjustable via the input settings. Dynamic Toggle: Traders can switch between Strategy 1 and Strategy 2 with a single dropdown, allowing them to adapt the strategy to market conditions. How It Works: Strategy 1: Entry Logic: A long trade is triggered when the fast SMA crosses above the slow SMA. Exit Logic: The trade exits at either a user-defined take profit level (percentage or pips) or via an optional trailing stop that dynamically adjusts based on price movement. Strategy 2: Entry Logic: Builds on the SMA crossover logic but adds a higher timeframe trend filter to align trades with the broader market direction. Risk Management: ATR-Based Stop-Loss: Protects against adverse moves with a volatility-adjusted stop-loss. Partial Take Profit: Allows traders to secure a percentage of gains while keeping some exposure for extended trends. How to Use: Select Your Strategy: Use the dropdown in the input settings to choose Strategy 1 or Strategy 2. Configure Parameters: Adjust SMA lengths, take profit, and risk management settings to align with your trading style. For Strategy 2, specify the higher timeframe for trend filtering. Deploy and Monitor: Apply the script to your preferred asset and timeframe. Use the backtest results to fine-tune settings for optimal performance. Why Choose This Script?: This script stands out due to its dual-strategy flexibility and enhanced features: For beginners: Strategy 1 provides a simple yet effective trend-following system with minimal setup. For advanced traders: Strategy 2 includes powerful tools like trend filters and ATR-based stop-loss, making it ideal for challenging market conditions. By combining simplicity with advanced features, this script offers something for everyone while maintaining full transparency and user customization. Default Settings: Strategy 1: Fast SMA: 21, Slow SMA: 49 Take Profit: 7% or 50 pips Trailing Stop: Optional (disabled by default) Strategy 2: Fast SMA: 20, Slow SMA: 50 ATR Multiplier: 1.5 Partial Take Profit: 50% Higher Timeframe: 1 Day (1D)
Strategi Pine Script™
oleh Crypto-Gyani
Eze Profit - VWAP + MACD Combined SignalThe Eze Profit - VWAP + MACD Combined Signal is an advanced trading tool designed to help traders align price trends with momentum confirmation for better decision-making. By combining Volume-Weighted Average Price (VWAP) and Moving Average Convergence Divergence (MACD), this indicator provides clear entry and exit signals, allowing traders to follow trends and take advantage of momentum shifts. How It Works: VWAP: VWAP represents the average price of an asset, weighted by volume, over a specific period. It acts as a dynamic support/resistance level and trend filter. Price above VWAP indicates bullish conditions, while price below VWAP suggests bearish conditions. MACD: MACD measures momentum through the difference between fast and slow exponential moving averages (EMAs). Signals are generated when the MACD line crosses its signal line: Bullish Crossover: Indicates increasing upward momentum. Bearish Crossunder: Indicates increasing downward momentum. Combined Logic: Long Signal: Triggered when price is above VWAP, and MACD exhibits a bullish crossover. Short Signal: Triggered when price is below VWAP, and MACD exhibits a bearish crossunder. The script tracks the trader's "in-position" state to prevent redundant signals and ensure clarity. How to Use: Use this script to identify potential long and short trading opportunities: Buy Signal: Enter a long position when the price moves above VWAP and MACD confirms bullish momentum. Sell Signal: Exit or short when the price drops below VWAP and MACD confirms bearish momentum. Combine with additional tools like support/resistance, volume analysis, or candlestick patterns for confirmation. Features: VWAP Trend Filter: Dynamically adjusts to the trading session to identify overall trend direction. MACD Momentum Confirmation: Detects key momentum shifts with configurable settings for fast, slow, and signal lengths. Position State Tracking: Avoids signal redundancy by monitoring open positions. Buy/Sell Visualizations: Plots Buy/Sell signals directly on the chart for ease of use. Alerts: Notifies traders in real-time when a long or short signal is triggered. Customizable Settings: MACD Fast Length, Slow Length, and Signal Smoothing parameters. VWAP timeframe resolution to adapt to different trading styles (e.g., intraday or daily). Credits: This script is based on standard VWAP and MACD calculations provided by TradingView’s library and has been enhanced with unique logic for combined signal generation. Notes: This indicator is intended for educational purposes and should not be considered financial advice. Use it as part of a broader trading strategy alongside other tools for optimal results.
Penunjuk Pine Script™
oleh ikeigwe1
Top-Down Analysis previous day Top-Down Analysis 2nd Candle with Enhanced Features This powerful TradingView script is designed for traders looking for a comprehensive and customizable top-down analysis tool. The indicator plots horizontal lines based on significant price levels from multiple timeframes (Daily, 4-Hour, 1-Hour, and Weekly), offering clear reference points for technical analysis. Each timeframe is associated with high and low levels from the previous candle, and these levels are represented with customizable line styles, colors, and widths. Key Features: Multi-Timeframe Support: Displays high and low levels from the previous candle for the Daily, 4-Hour, 1-Hour, and Weekly timeframes. Customize which timeframes to show. Customizable Line Appearance: Choose the line color, style (solid, dotted, dashed), and width for each timeframe. This allows for a personalized chart appearance to suit your trading strategy. Text Labels: Add custom text labels to each line, and move them dynamically to the right, keeping them visible as the candles progress. The labels can be customized with user-defined text for each timeframe’s high and low levels. Toggle Line Visibility: Easily control the visibility of the horizontal lines and their labels for each timeframe, allowing you to focus on the levels that matter most. Price Alerts: Set price alerts when the price crosses any of the plotted levels, including the Daily, 4-Hour, 1-Hour, and Weekly levels. Receive notifications when significant price interactions occur. User Control: With inputs for changing timeframes, colors, labels, and more, this indicator is fully customizable to fit your trading style. This indicator is ideal for day traders, swing traders, and anyone utilizing multi-timeframe analysis for more informed decision-making.
Penunjuk Pine Script™
oleh cesar7olvera
Truly Iterative Gaussian ChannelOVERVIEW The Truly Iterative Gaussian Channel is a robust channeling system that integrates a Gaussian smoothing kernel with a rolling standard deviation to create dynamically adaptive upper and lower boundaries around price. This indicator provides a smooth, yet responsive representation of price movements while minimizing lag and dynamically adjusting channel width to reflect real-time market volatility. Its versatility makes it effective across various timeframes and trading styles, offering significant potential for experimentation and integration into advanced trading systems. TRADING USES The Gaussian indicator can be used for multiple trading strategies. Trend following relies on the middle Gaussian line to gauge trend direction: prices above this line indicate bullish momentum, while prices below signal bearish momentum. The upper and lower boundaries act as dynamic support and resistance levels, offering breakout or pullback entry opportunities. Mean reversion focuses on identifying reversal setups when price approaches or breaches the outer boundaries, aiming for a return to the Gaussian centerline. Volatility filtering helps assess market conditions, with narrow channels indicating low volatility or consolidation and suggesting fewer trading opportunities or an impending breakout. Adaptive risk management uses channel width to adjust for market volatility, with wider channels signaling higher risk and tighter channels indicating lower volatility and potentially safer entry points. THEORY Gaussian kernel smoothing, derived from the Gaussian normal distribution, is a cornerstone of probability and statistics, valued for its ability to reduce noise while preserving critical signal features. In this indicator, it ensures price movements are smoothed with precision, minimizing distortion while maintaining responsiveness to market dynamics. The rolling standard deviation complements this by dynamically measuring price dispersion from the mean, enabling the channel to adapt in real time to changing market conditions. This combination leverages the mathematical correctness of both tools to balance smoothness and adaptability. An iterative framework processes data efficiently, bar by bar, without recalculating historical value to ensure reliability and preventing repainting to create a mathematically grounded channel system suitable for a wide range of market environments. The Gaussian channel excels at filtering noise while remaining responsive to price action, providing traders with a dependable tool for identifying trends, reversals, and volatility shifts with consistency and precision. CALIBRATION Calibration of the Gaussian channel involves adjusting its length to modify sensitivity and adaptability based on trading style. Shorter lengths (e.g., 50-100) are ideal for intraday traders seeking quick responses to price fluctuations. Medium lengths (e.g., 150-200) cater to swing traders aiming to capture broader market trends. Longer lengths (e.g., 250-400+) are better suited for positional traders focusing on long-term price movements and stability. MARKET USAGE Stock, Forex, Crypto, Commodities, and Indices.
Penunjuk Pine Script™
oleh SensitiveSuit
Multi-Timeframe Volume-Weighted RSIA multiple timeframe volume-weighted RSI. Blue Line = Current Time Frame Orange Line = Select your desired Time Frame e.g. Blue = Daily, Orange = Weekly 1. Incorporates Market Commitment Value: By factoring in volume, the volume-weighted RSI captures the intensity of trading activity behind price movements. Why it’s useful: Regular RSI measures price momentum but does not differentiate between moves with high or low trading activity. A volume-weighted RSI assigns greater importance to price changes occurring on high volume, reflecting stronger market conviction. 2. Improved Signal Reliability Value: Signals generated by a volume-weighted RSI (e.g., overbought or oversold conditions) may be more reliable because they account for the level of trader participation. Why it’s useful: Low-volume price movements often result in false signals or "noise." A volume-weighted RSI helps filter out such noise, reducing the likelihood of false breakouts or fake reversals. 3. Better Divergence Detection Value: Divergences between price action and the RSI (bullish or bearish divergences) are more meaningful when confirmed by volume. Why it’s useful: Regular RSI might show divergence in price momentum, but this divergence might lack substance if the underlying volume is weak. A volume-weighted RSI ensures that divergence signals align with periods of significant market participation. 4. Enhanced Trend Analysis Value: Trends supported by strong volume are given more weight, helping traders better identify and follow trends. Why it’s useful: Regular RSI might show overbought or oversold signals prematurely during strong trends. Volume-weighted RSI considers whether trends are backed by significant market activity, helping avoid early exits. 5. More Meaningful Overbought/Oversold Levels Value: Levels like 70 (overbought) and 30 (oversold) are more credible when supported by volume. Why it’s useful: In a regular RSI, overbought or oversold levels might occur on light trading, leading to false reversals. A volume-weighted RSI ensures these levels are triggered by substantial market participation, increasing their reliability. Practical Applications: Trend Confirmation: Use the volume-weighted RSI to confirm whether momentum in a trend is supported by strong participation. Divergence Spotting: Identify divergences with more confidence by prioritizing those with volume support. Filtering False Breakouts: Avoid entering trades during weak volume phases by focusing on volume-weighted RSI signals. Limitations: Market Type Dependency: Its usefulness may diminish in low-volume assets or markets where volume data is unavailable (e.g., forex).
Penunjuk Pine Script™
oleh SSHN
INTELLECT_city - US Presidential Elections Dates (USA)(EN) It is interesting to compare Halvings Cycles and Presidential elections. This indicator shows all presidential elections in the USA from the period 2008, and future ones to the date 2044. The indicator will automatically show all future dates of presidential elections. -- To apply it to your chart it is very easy: Select: 1) Exchange: BITSTAMP 2) Pair BTC \ USD (Without "T" at the end) 3) Timeframe 1 day 4) In the Browser, switch the chart to Logarithmic (on the right bottom, click the "L" button) or on mobile, switch to "Logarithmic" we look on the chart: "Gear" - and switch to "Logarithmic" ------------------ (RU) Интересно сопоставить Циклы Halvings и Президентские выборы. Данный индикатор показывает все президентские выборы в США с периода 2008 года, и будущие к дате 2044 года. Индикатор будет автоматически показывать все будущие даты . -- Что бы применить у себя на графике это очень легко: Выберите: 1) Биржа: BITSTAMP 2) Пара BTC \ USD (Без "T" в конце) 3) Timeframe 1 дневной 4) В Браузере переключить график на Логарифмический (с право внизу кнопка "Л") или на мобильно переключить на "Логарифмический" ищем на графике: "Шестеренку" — и переключаем на "Логарифмический" ------------------- (DE) Es ist interessant, die Halbierungszyklen und die Präsidentschaftswahlen zu vergleichen. Dieser Indikator zeigt alle US-Präsidentschaftswahlen seit 2008 und zukünftige bis zum Datum 2044. Der Indikator zeigt automatisch alle zukünftigen Präsidentschaftswahltermine an. -- Es ist sehr einfach, dies auf Ihr Diagramm anzuwenden: Wählen: 1) Austausch: BITSTAMP 2) Paar BTC \ USD (Ohne das „T“ am Ende) 3) Zeitrahmen 1 Tag 4) Schalten Sie im Browser das Diagramm auf Logarithmisch um (die Schaltfläche „L“ unten rechts). oder auf dem Mobilgerät auf „Logarithmisch“ umschalten, in der Grafik nach „Getriebe“ suchen – und auf „Logarithmisch“ umschalten
Penunjuk Pine Script™
oleh INTELLECT_city
1
Advanced Pattern Detector**Script Overview** **Indicator Name:** Advanced Pattern Detector **Pine Script Version:** v5 **Indicator Type:** Overlaid on the chart (overlay=true) **Main Features:** - Detection and visualization of various technical patterns. - Generation of BUY and SELL signals based on detected patterns. - Display of Fibonacci levels to identify potential support and resistance levels. - Ability to enable or disable each pattern through the indicator settings. --- **Indicator Settings** **Switches to Enable/Disable Patterns** At the top of the indicator, there are parameters that allow the user to select which patterns will be displayed on the chart: - Three Drives - Rounding Top - Rounding Bottom - ZigZag Pattern - Inverse Head and Shoulders - Fibonacci Retracement **Parameters for ZigZag** Settings are also available for the ZigZag pattern, such as the depth of peak and trough detection, allowing the user to adjust the indicator's sensitivity to price changes. --- **Pattern Detection** Each pattern is implemented with its own logic, which checks specific conditions on the current bar (candle). Below are the main patterns: 1. **Three Drives** - **Description:** This pattern consists of three consecutive price movements in one direction (up or down). It can signal the continuation of the current trend or its reversal. - **How It Works:** - **Upward Drive:** The indicator checks that the closing price of each subsequent candle is higher than the previous one for three bars. - **Downward Drive:** The indicator checks that the closing price of each subsequent candle is lower than the previous one for three bars. 2. **Rounding Top** - **Description:** A pattern representing a smooth decrease in maximum prices over several bars, which may indicate a potential downward trend reversal. - **How It Works:** - The indicator checks that the maximum prices of the last five bars are gradually decreasing, and the current bar shows a decrease in the maximum price. 3. **Rounding Bottom** - **Description:** A pattern characterized by a smooth increase in minimum prices over several bars, signaling a possible upward trend reversal. - **How It Works:** - The indicator checks that the minimum prices of the last five bars are gradually increasing, and the current bar shows an increase in the minimum price. 4. **ZigZag Pattern** - **Description:** Used to identify corrective movements on the chart. The pattern shows peak and trough points connected by lines, helping to visualize the main price movement. - **How It Works:** - The indicator uses a function to determine local maxima and minima based on the specified depth. - Detected peaks and troughs are connected by lines to create a visual zigzag structure. 5. **Inverse Head and Shoulders** - **Description:** An inverted head and shoulders formation signals a possible reversal of a downward trend to an upward one. - **How It Works:** - The indicator looks for three local minima: the left shoulder, the head (the lowest minimum), and the right shoulder. - It checks that the left and right shoulders are approximately at the same level and below the head. 6. **Fibonacci Retracement Levels** - **Description:** Automatically builds key Fibonacci levels based on the maximum and minimum prices over the last 50 bars. These levels are often used as potential support and resistance levels. - **How It Works:** - Daily, the minimum and maximum prices over the last 50 bars are calculated. - Based on these values, Fibonacci levels are drawn: 100%, 23.6%, 38.2%, 50%, 61.8%, and 0%. - Old levels are removed when a new day begins to keep the chart clean and up-to-date. --- **Generation of Buy and Sell Signals** The indicator combines the results of detected patterns to generate trading signals: - **Buy Signals (BUY):** - Rounding Bottom - Three Drives Up - Inverse Head and Shoulders - ZigZag Low - **Sell Signals (SELL):** - Rounding Top - Three Drives Down - Inverse Head and Shoulders - ZigZag High **How It Works:** - If one or more buy conditions are met, a "BUY" label is displayed below the corresponding bar on the chart. - If one or more sell conditions are met, a "SELL" label is displayed above the corresponding bar on the chart. --- **Visualization of Patterns on the Chart** Each detected pattern is visualized using various graphical elements, allowing traders to easily identify them on the chart: - **Three Drives Up:** Green upward triangle below the bar. - **Three Drives Down:** Red downward triangle above the bar. - **Rounding Top:** Orange "RT" label above the bar. - **Rounding Bottom:** Blue "RB" label below the bar. - **Inverse Head and Shoulders:** Turquoise "iH&S" label below the bar. - **ZigZag High/Low:** Purple circles at the peaks and troughs of the zigzag. --- **Displaying Fibonacci Levels** Fibonacci levels are displayed as horizontal lines on the chart with corresponding labels. These levels help traders determine potential entry and exit points, as well as support and resistance levels. --- **Drawing ZigZag Lines** ZigZag lines connect the detected peaks and troughs, visualizing corrective movements. To avoid cluttering the chart, the number of lines is limited, and old lines are automatically removed as new ones are added.
Penunjuk Pine Script™
oleh Kentuss