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Schaff Trend Cycle (STC)The STC (Schaff Trend Cycle) indicator is a momentum oscillator that combines elements of MACD and stochastic indicators to identify market cycles and potential trend reversals. Key features of the STC indicator: Oscillates between 0 and 100, similar to a stochastic oscillator Values above 75 generally indicate overbought conditions Values below 25 generally indicate oversold conditions Signal line crossovers (above 75 or below 25) can suggest potential entry/exit points Faster and more responsive than traditional MACD Designed to filter out market noise and identify cyclical trends Traders typically use the STC indicator to: Identify potential trend reversals Confirm existing trends Generate buy/sell signals when combined with other technical indicators Filter out false signals in choppy market conditions This STC implementation includes multiple smoothing options that act as filters: None: Raw STC values without additional smoothing, which provides the most responsive but potentially noisier signals. EMA Smoothing: Applies a 3-period Exponential Moving Average to reduce noise while maintaining reasonable responsiveness (default). Sigmoid Smoothing: Transforms the STC values using a sigmoid (S-curve) function, creating more gradual transitions between signals and potentially reducing whipsaw trades. Digital (Schmitt Trigger) Smoothing: Creates a binary output (0 or 100) with built-in hysteresis to prevent rapid switching. The STC indicator uses dynamic color coding to visually represent momentum: Green: When the STC value is above its 5-period EMA, indicating positive momentum Red: When the STC value is below its 5-period EMA, indicating negative momentum The neutral zone (25-75) is highlighted with a light gray fill to clearly distinguish between normal and extreme readings. Alerts: Bullish Signal Alert: The STC has been falling It bottoms below the 25 level It begins to rise again This pattern helps confirm potential uptrend starts with higher reliability. Bearish Signal Alert: The STC has been rising It peaks above the 75 level It begins to decline This pattern helps identify potential downtrend starts.
Pine Script™ 인디케이터
mihak09의
Session Profile AnalyzerWhat’s This Thing Do? Hey there, trader! Meet the Session Profile Analyzer (SPA) your new go-to pal for breaking down market action within your favorite trading sessions. It’s an overlay indicator that mixes Rotation Factor (RF), Average Subperiod Range (ASPR), Volume Value Area Range (VOLVAR), and TPO Value Area Range (TPOVAR) into one tidy little toolkit. Think of it as your market vibe checker momentum, volatility, and key levels, all served up with a grin. The Cool Stuff It Does: Rotation Factor (RF) : Keeps tabs on whether the market’s feeling bullish, bearish, or just chilling. It’s like a mood ring for price action shows “UP ↑,” “DOWN ↓,” or “NONE ↔.” ASPR : Averages out the range of your chosen blocks. Big swings? Tiny wiggles? This tells you the session’s energy level. VOLVAR : Dives into volume to find where the action’s at, with a smart twist it adjusts price levels based on the session’s size and tiny timeframe moves (capped at 128 so your chart doesn’t cry). TPOVAR : Grabs lower timeframe data to spot where price hung out the most, TPO-style. Value zones, anyone? Dynamic Precision : No ugly decimal overload SPA matches your asset’s style (2 decimals for BTC, 5 for TRX, you get it). How to Play With It: Session Start/End : Pick your trading window (say, 0930-2200) and a timezone (America/New_York, or wherever you’re at). Block Size : Set the chunk size for RF and ASPR like 30M if you’re into half-hour vibes. Value Area Timeframe : Go micro with something like 1S for VOLVAR and TPOVAR precision. Label : Size it (small to huge), color it (white, neon pink, whatever), and slap it where you want (start, mid, end). How It All Works (No PhD Required): RF : Imagine breaking your session into blocks (via Block Size). For each block, SPA checks if the high beats the last high (+1) or not (0), and if the low dips below the last low (-1) or not (0). Add those up, and boom positive RF means upward vibes, negative means downward, near zero is “meh.” Use it to catch trends or spot when the market’s napping. ASPR : Takes those same blocks, measures high-to-low range each time, and averages them. It’s your volatility pulse big ASPR = wild ride, small ASPR = snooze fest. Great for sizing up session action. VOLVAR : Here’s the fun part. It takes the session’s full range (high minus low), divides it by the average range of your tiny Value Area Timeframe bars (e.g., 1S), and picks a sensible number of price levels capped at 128 so it doesn’t overthink. Then it bins volume into those levels, finds the busiest price (POC), and grows a 70% value area around it. Perfect for spotting where the big players parked their cash. TPOVAR : Grabs midpoints from those tiny timeframe bars, sorts them, and snips off the top and bottom 15% to find the 70% “value zone” where price chilled the most. Think of it as the market’s comfort zone great for support/resistance hunting. Why You’ll Like It: Whether you’re scalping crypto, swinging forex, or dissecting stocks, SPA’s got your back. Use RF to catch momentum shifts like jumping on an “UP ↑” trend or fading a “DOWN ↓” exhaustion. ASPR’s your secret weapon for sizing up trades: a big ASPR (say, 100 on BTC) means you can aim for juicy targets (like 1-2x ASPR) or set invalidations tight when it’s tiny (e.g., 0.001 on TRX) to dodge chop. VOLVAR and TPOVAR are your level-finders nail those key zones where price loves to bounce or break, perfect for entries, stops, or profit grabs. It’s like having a trading co-pilot who’s chill but knows their stuff. Heads-Up: Load enough history for those micro timeframes to shine (1S needs some bars to work with). Keeps things light won’t bog down your chart even with decent-sized sessions. Let’s Roll: Slap SPA on your chart, tweak it to your style, and watch it spill the beans on your session. Happy trading, fam may your pips be plenty and your losses few!
Pine Script™ 인디케이터
mindyourbuisness의
DIY Entry Signals//@version=5 // // Author: benso87 // // Credit to: // The_Caretaker for BBWP and PMARP indicators // indicator(title='DIY Entry Signals', shorttitle='DIY Signals', format=format.price, precision=2, timeframe='', timeframe_gaps=true, overlay=true, max_bars_back=500) noColor = color.new(color.white, transp=100) ////////////////////////////////////////////////////////////// // Inputs // Signal Types includeLong = input.bool (true, title='Long', inline='1', group='Signal Types') includeShort = input.bool (true, title='Short', inline='2', group='Signal Types') onlyConfirmed = input.bool (true, title='Only Confirmed Candles', inline='3', group='Signal Types') useSigCheck = input.bool (false, title='No More Signals For # Bars', inline='5', group='Signal Types') sigCheckBars = input.int (10, title='', minval=1, maxval=50, inline='5', group='Signal Types') plotType = input.string ('Shape', title='Signal Marker', options= , group='Signal Types') barColorLong = input.color (#0bff00, title='Long Bar Color', group='Signal Types') barColorShort = input.color (#ff0014, title='Short Bar Color', group='Signal Types') // Price priceSource = input.source(close, title='Price Source', group='Price') // Volume vMaLength = input.int (20, title='MA Length', minval=1, group='Volume') vMaType = input.string ('SMA', title='MA Type', options= , group='Volume') vMult = input.float (1.5, title='Multiplier', minval=0, group='Volume', tooltip='Volume needs to be above this much times the previous volume bar to trigger a signal.') // Moving Averages maSource = input.source (close, title='Source', inline='source', group='Moving Averages') includeMA1 = input.bool (false, title='', inline='MA 1', group='Moving Averages') ma1Color = input.color (#ffeb3b, title='MA 1', inline='MA 1', group='Moving Averages') ma1Length = input.int (21, title='Length', minval=1, inline='MA 1', group='Moving Averages') ma1Type = input.string ('EMA', title='Type', options= , inline='MA 1', group='Moving Averages') includeMA2 = input.bool (false, title='', inline='MA 2', group='Moving Averages') ma2Color = input.color (#00e676, title='MA 2', inline='MA 2', group='Moving Averages') ma2Length = input.int (55, title='Length', minval=1, inline='MA 2', group='Moving Averages') ma2Type = input.string ('EMA', title='Type', options= , inline='MA 2', group='Moving Averages') includeMA3 = input.bool (false, title='', inline='MA 3', group='Moving Averages') ma3Color = input.color (#00bcd4, title='MA 3', inline='MA 3', group='Moving Averages') ma3Length = input.int (100, title='Length', minval=1, inline='MA 3', group='Moving Averages') ma3Type = input.string ('EMA', title='Type', options= , inline='MA 3', group='Moving Averages') includeMA4 = input.bool (false, title='', inline='MA 4', group='Moving Averages') ma4Color = input.color (#e040fb, title='MA 4', inline='MA 4', group='Moving Averages') ma4Length = input.int (200, title='Length', minval=1, inline='MA 4', group='Moving Averages') ma4Type = input.string ('EMA', title='Type', options= , inline='MA 4', group='Moving Averages') includeMA5 = input.bool (false, title='', inline='MA 5', group='Moving Averages') ma5Color = input.color (color.red, title='MA 5', inline='MA 5', group='Moving Averages') ma5Length = input.int (300, title='Length', minval=1, inline='MA 5', group='Moving Averages') ma5Type = input.string ('EMA', title='Type', options= , inline='MA 5', group='Moving Averages') includeMA6 = input.bool (false, title='', inline='MA 6', group='Moving Averages') ma6Color = input.color (color.blue, title='MA 6', inline='MA 6', group='Moving Averages') ma6Length = input.int (400, title='Length', minval=1, inline='MA 6', group='Moving Averages') ma6Type = input.string ('EMA', title='Type', options= , inline='MA 6', group='Moving Averages') includeMA7 = input.bool (false, title='', inline='MA 7', group='Moving Averages') ma7Color = input.color (color.white, title='MA 7', inline='MA 7', group='Moving Averages') ma7Length = input.int (500, title='Length', minval=1, inline='MA 7', group='Moving Averages') ma7Type = input.string ('EMA', title='Type', options= , inline='MA 7', group='Moving Averages') includeMA8 = input.bool (false, title='', inline='MA 8', group='Moving Averages') ma8Color = input.color (color.orange, title='MA 8', inline='MA 8', group='Moving Averages') ma8Length = input.int (600, title='Length', minval=1, inline='MA 8', group='Moving Averages') ma8Type = input.string ('EMA', title='Type', options= , inline='MA 8', group='Moving Averages') // Moving Average Crosses maCrosses = input.bool (false, title='Highlight moving average crosses', group='Moving Average Crosses', inline='1') useCross1 = input.bool (false, title='Pair 1', group='Moving Average Crosses', inline='pair1') cross1Color1 = input.color (color.new(color.silver, transp=50), title='', group='Moving Average Crosses', inline='pair1') cross1Color2 = input.color (color.new(color.purple, transp=50), title='', group='Moving Average Crosses', inline='pair1') cross1ma1Str = input.string ('MA 1', title='', options= , group='Moving Average Crosses', inline='pair1') cross1ma2Str = input.string ('MA 2', title='', options= , group='Moving Average Crosses', inline='pair1') useCross2 = input.bool (false, title='Pair 2', group='Moving Average Crosses', inline='pair2') cross2Color1 = input.color (color.new(color.yellow, transp=50), title='', group='Moving Average Crosses', inline='pair2') cross2Color2 = input.color (color.new(color.red, transp=50), title='', group='Moving Average Crosses', inline='pair2') cross2ma1Str = input.string ('MA 2', title='', options= , group='Moving Average Crosses', inline='pair2') cross2ma2Str = input.string ('MA 4', title='', options= , group='Moving Average Crosses', inline='pair2') useCross3 = input.bool (false, title='Pair 3', group='Moving Average Crosses', inline='pair3') cross3Color1 = input.color (color.new(color.blue, transp=50), title='', group='Moving Average Crosses', inline='pair3') cross3Color2 = input.color (color.new(color.orange, transp=50), title='', group='Moving Average Crosses', inline='pair3') cross3ma1Str = input.string ('MA 3', title='', options= , group='Moving Average Crosses', inline='pair3') cross3ma2Str = input.string ('MA 4', title='', options= , group='Moving Average Crosses', inline='pair3') // RSI rsiSource = input.source (close, title='Source', group='RSI') rsiPeriod = input.int (14, minval=1, title='RSI Period', group='RSI') // Stochastic stochSource = input.source (close, title='Source', group='Stochastic') periodK = input.int (14, title='K Length', minval=1, group='Stochastic') smoothK = input.int (3, title='K Smoothing', minval=1, group='Stochastic') periodD = input.int (3, title='D Smoothing', minval=1, group='Stochastic') kdSig = input.bool (false, title='K & D', group='Stochastic', tooltip='Turn this on to only signal when both K and D are in the selected range.') // Stoch RSI srsiSmoothK = input.int (3, title='K', minval=1, group='Stochastic RSI') srsiSmoothD = input.int (3, title='D', minval=1, group='Stochastic RSI') srsiLength = input.int (14, title='Stoch Length', minval=1, group='Stochastic RSI') srsiKDSig = input.bool (false, title='K & D', group='Stochastic RSI', tooltip='Turn this on to only signal when both K and D are in the selected range.') srsiOwnRSI = input.bool (false, title='Use Separate RSI', group='Stochastic RSI', tooltip='If unchecked, use RSI from the RSI section. If checked, use RSI settings in this section') srsiSource = input.source (close, title='RSI Source for Stoch RSI', group='Stochastic RSI', tooltip='Only used if "Use Seaprate RSI" is checked.') srsiPeriod = input.int (14, title='RSI Length for Stoch RSI', group='Stochastic RSI', tooltip='Only used if "Use Seaprate RSI" is checked.') // Bollinger Bands bbSource = input.source (close, title='Source', group='Bollinger Bands') bbLength = input.int (20, minval=1, group='Bollinger Bands') bbMult = input.float (2.0, minval=0.001, maxval=50, title="StdDev", group='Bollinger Bands') bbBiasMAStr = input.string ('MA 4', title='Moving Average for Bias', options= , group='Bollinger Bands', tooltip='Bias is determined by the BB midline being above or below the chosen moving average.') plotBB = input.bool (false, title='Plot', group='Bollinger Bands') bbFill = input.color (noColor, title='Fill Color', group='Bollinger Bands') biasFill = input.bool (false, title='Color Based on Bias', group='Bollinger Bands') longFill = input.color (color.new(color.green, transp=80), title='Long Bias', group='Bollinger Bands') shortFill = input.color (color.new(color.red, transp=80), title='Short Bias', group='Bollinger Bands') // BBWP bbwpPriceSource = input.source (close, title='Source', inline='1', group='BBWP') bbwpBasisType = input.string ('SMA', title='Basis Type', options= , inline='1', group='BBWP') bbwpLength = input.int (13, title='Length', minval=1, inline='2', group='BBWP') bbwpLookback = input.int (252, title='Lookback', minval=1, inline='2', group='BBWP') bbwpMaType = input.string ('SMA', 'MA Type', options= , inline='3', group='BBWP') bbwpMaLength = input.int (5, 'MA Length', minval=1, inline='3', group='BBWP') // PMARP pmarpSource = input.source (close, title='Source', inline='1', group='PMARP') pmarpLookback = input.int (350, title='Lookback', minval=1, maxval=1900, inline='1', group='PMARP') pmarpLength = input.int (20, title='PMAR Length', minval=1, inline='2', group='PMARP') pmarpMAType = input.string ('VWMA', title='MA Type', options= , inline='2', group='PMARP') pmarpSigMAType = input.string ('SMA', title='Signal MA Type', options= , inline='3', group='PMARP') pmarpSigLength = input.int (20, title='PMAR SignalLength', minval=1, inline='3', group='PMARP') // ADX/DMI adxLength = input.int(14, title="ADX Length", group='ADX/DMI') diLength = input.int(14, title="DI Length", group='ADX/DMI') // VWAP vwapPlot = input.bool(false, title='Plot VWAP', group='VWAP') hideonDWM = input.bool(false, title="Hide VWAP on 1D or Above", group="VWAP") anchor = input.string(defval = 'Session', title='Anchor Period', options= , group='VWAP') vwapSrc = input.source(hlc3, title='Source', group='VWAP') vwapColor = input.color(color.blue, title='Color', group='VWAP') vwapWidth = input.int(2, title='Line Width', minval=1, maxval=4, group='VWAP') vwapOffset = input.int(0, title='Offset', group='VWAP') vwapShowBands = input.bool(false, title='Calculate Bands', group='VWAP') vwapStDev = input.float(1, title='Bands Multiplier', group='VWAP') // Days Off useOffDays = input.bool (false, title='Days Off', group='Days Off') offSun = input.bool (true, title='Sunday', group='Days Off') offMon = input.bool (false, title='Monday', group='Days Off') offTue = input.bool (false, title='Tuesday', group='Days Off') offWed = input.bool (false, title='Wednesday', group='Days Off') offThur = input.bool (false, title='Thursday', group='Days Off') offFri = input.bool (false, title='Friday', group='Days Off') offSat = input.bool (true, title='Saturday', group='Days Off') // Time Off useTimeOff = input.bool (false, title='Time Off', group='Time Off') timeOffRange = input.session ('0500-1300', title='Time Off', group='Time Off') // Long Conditions usePriceAbMaLong = input.bool (false, title='Price Above', inline='price1', group='Long Conditions') priceAbMaLongStr = input.string ('MA 1', title='', options= , inline='price1', group='Long Conditions') usePriceBlMaLong = input.bool (false, title='Price Below', inline='price2', group='Long Conditions') priceBlMaLongStr = input.string ('MA 1', title='', options= , inline='price2', group='Long Conditions') useVolumeLong = input.bool (false, title='Volume', inline='volume1', group='Long Conditions') volumeAboveLong = input.string ('Both', title='Above', options= , inline='volume1', group='Long Conditions', tooltip='See volume section for criteria used here.') i_ma1Above2 = input.bool (false, title='MA 1 > MA 2', inline='ma above 1', group='Long Conditions') i_ma2Above3 = input.bool (false, title='MA 2 > MA 3', inline='ma above 2', group='Long Conditions') i_ma3Above4 = input.bool (false, title='MA 3 > MA 4', inline='ma above 3', group='Long Conditions') i_ma4Above5 = input.bool (false, title='MA 4 > MA 5', inline='ma above 4', group='Long Conditions') i_ma5Above6 = input.bool (false, title='MA 5 > MA 6', inline='ma above 5', group='Long Conditions') i_ma6Above7 = input.bool (false, title='MA 6 > MA 7', inline='ma above 6', group='Long Conditions') i_ma7Above8 = input.bool (false, title='MA 7 > MA 8', inline='ma above 7', group='Long Conditions') useCross1UpLong = input.bool (false, title='Price Cross Up: MA 1', inline='cross up', group='Long Conditions') useCross2UpLong = input.bool (false, title='MA 2', inline='cross up', group='Long Conditions') useCross3UpLong = input.bool (false, title='MA 3', inline='cross up', group='Long Conditions') useCross4UpLong = input.bool (false, title='MA 4', inline='cross up', group='Long Conditions') useCross5UpLong = input.bool (false, title='MA 5', inline='cross up', group='Long Conditions') useCross6UpLong = input.bool (false, title='MA 6', inline='cross up', group='Long Conditions') useCross7UpLong = input.bool (false, title='MA 7', inline='cross up', group='Long Conditions') useCross8UpLong = input.bool (false, title='MA 8', inline='cross up', group='Long Conditions') useCross1DnLong = input.bool (false, title='Price Cross Down: MA 1', inline='cross dn', group='Long Conditions') useCross2DnLong = input.bool (false, title='MA 2', inline='cross dn', group='Long Conditions') useCross3DnLong = input.bool (false, title='MA 3', inline='cross dn', group='Long Conditions') useCross4DnLong = input.bool (false, title='MA 4', inline='cross dn', group='Long Conditions') useCross5DnLong = input.bool (false, title='MA 5', inline='cross dn', group='Long Conditions') useCross6DnLong = input.bool (false, title='MA 6', inline='cross dn', group='Long Conditions') useCross7DnLong = input.bool (false, title='MA 7', inline='cross dn', group='Long Conditions') useCross8DnLong = input.bool (false, title='MA 8', inline='cross dn', group='Long Conditions') useMATestLong = input.bool (false, title='MA Test (beta)', inline='ma test', group='Long Conditions', tooltip='Experimental. This will check to see if the candle touches the moving average and closes above it, or if the previous candle opened above and closed below, and the signal candle closes back above.') i_maTestedLong = input.string ('MA 1', title='', options= , inline='ma test', group='Long Conditions') includeRSILong = input.bool (false, title='RSI', inline='rsi', group='Long Conditions') rsiLowLong = input.float (38, title='Above', inline='rsi', group='Long Conditions') rsiHighLong = input.float (62, title='Below', inline='rsi', group='Long Conditions') useRsiCrossLong = input.bool (false, title='RSI cross', inline='rsi cross', group='Long Conditions') rsiCrossDirLong = input.string ('Above', title='', options= , inline='rsi cross', group='Long Conditions') rsiCrossLevelLong = input.float (50, title='', minval=0, maxval=100, inline='rsi cross', group='Long Conditions') includeStochLong = input.bool (false, title='Stoch', inline='stoch', group='Long Conditions') stochKAboveD = input.bool (false, title='K > D', inline='stoch', group='Long Conditions') useStochRangeLong = input.bool (false, title='Stoch In Range?',inline='stoch 2', group='Long Conditions') stochLowLong = input.float (20, title='Low', inline='stoch 2', group='Long Conditions') stochHighLong = input.float (80, title='High', inline='stoch 2', group='Long Conditions') includeSRSILong = input.bool (false, title='Stoch RSI', inline='srsi', group='Long Conditions') srsiLowLong = input.float (0, title='Low', minval=0, maxval=100, inline='srsi', group='Long Conditions') srsiHighLong = input.float (10, title='High', minval=0, maxval=100, inline='srsi', group='Long Conditions') includeBBLong = input.bool (false, title='Bollinger Bands', inline='bb', group='Long Conditions') includBBBiasLong = input.bool (false, title='Bias', inline='bb', group='Long Conditions', tooltip='Signal only if the BB midline is above the chose moving average.') includeBBTestLong = input.bool (false, title='Test Lower (Experimental)', inline='bb', group='Long Conditions', tooltip='Signal only on a test of the lower band.') includeBBRLong = input.bool (false, title='BB%B', inline='bb2', group='Long Conditions') bbrDirLong = input.string ('Below', title='', options= , inline='bb2', group='Long Conditions') bbrLevelLong = input.float (0.1, title='', minval=-1, maxval=2, inline='bb2', group='Long Conditions') includeBBWPLong = input.bool (false, title='BBWP', inline='bbwp', group='Long Conditions') bbwpMinLong = input.float (0, title='Min', minval=0, maxval=100, step=0.01, inline='bbwp', group='Long Conditions') bbwpMaxLong = input.float (35, title='Max', minval=0, maxval=100, step=0.01, inline='bbwp', group='Long Conditions') includeBBWPMaDLong = input.bool (false, title='BBWP MA Direction', inline='bbwpMa', group='Long Conditions') bbwpMaDLong = input.string ('Down', title='', options= , inline='bbwpMa', group='Long Conditions') includePMARPLong = input.bool (false, title='PMARP', inline='pmarp', group='Long Conditions') pmarpLongAB = input.string ('Below', title='', options= , inline='pmarp', group='Long Conditions') pmarpThresholdLong = input.float (15, title='', inline='pmarp', group='Long Conditions') usePmarpCrossMaLong = input.bool (false, title='PMARP Crossing MA', inline='pmarp2', group='Long Conditions') pmarpCrossDirLong = input.string ('Up', title='', options= , inline='pmarp2', group='Long Conditions') useDMILong = input.bool (false, title='DMI', inline='dmi', group='Long Conditions') dmiPNLong = input.string ('Positive', title='', options= , inline='dmi', group='Long Conditions') dmiABLong = input.string ('Above', title='DMI', options= , inline='dmi 2', group='Long Conditions') dmiThresholdLong = input.float (20, title='', inline='dmi 2', tooltip='DMI level to be below or above for "Custom" option', group='Long Conditions') dmiFlipLong = input.bool (false, title='Only on flip', inline='dmi 3', group='Long Conditions', tooltip='Signal only on the bar where the DMI flip occurs.') useADXLong = input.bool (false, title='ADX Range', inline='adx', group='Long Conditions') adxABLong = input.string ('Below', title='', options= , inline='adx', group='Long Conditions') adxThresholdLong = input.float (20, title='', inline='adx', group='Long Conditions') useADXDirLong = input.bool (false, title='ADX Direction', inline='adx 2', group='Long Conditions') adxDirLong = input.string ('Rising', title='', options= , inline='adx 2', group='Long Conditions') useVwapLong = input.bool (false, title='VWAP', inline='vwap', group='Long Conditions') vwapABLong = input.string ('Below', title='', options= , inline='vwap', group='Long Conditions') vwapLevelLong = input.string ('VWAP', title='', options= , inline='vwap', group='Long Conditions') // Short Conditions usePriceAbMaShort = input.bool (false, title='Price Above', inline='price1', group='Short Conditions') priceAbMaShortStr = input.string ('MA 1', title='', options= , inline='price1', group='Short Conditions') usePriceBlMaShort = input.bool (false, title='Price Below', inline='price2', group='Short Conditions') priceBlMaShortStr = input.string ('MA 1', title='', options= , inline='price2', group='Short Conditions') useVolumeShort = input.bool (false, title='Volume', inline='volume1', group='Short Conditions') volumeAboveShort = input.string ('Both', title='Above', options= , inline='volume1', group='Short Conditions', tooltip='See volume section for criteria used here.') i_ma1Below2 = input.bool (false, title='MA 1 < MA 2', inline='ma below 1', group='Short Conditions') i_ma2Below3 = input.bool (false, title='MA 2 < MA 3', inline='ma below 2', group='Short Conditions') i_ma3Below4 = input.bool (false, title='MA 3 < MA 4', inline='ma below 3', group='Short Conditions') i_ma4Below5 = input.bool (false, title='MA 4 < MA 5', inline='ma below 4', group='Short Conditions') i_ma5Below6 = input.bool (false, title='MA 5 < MA 6', inline='ma below 5', group='Short Conditions') i_ma6Below7 = input.bool (false, title='MA 6 < MA 7', inline='ma below 6', group='Short Conditions') i_ma7Below8 = input.bool (false, title='MA 7 < MA 8', inline='ma below 7', group='Short Conditions') useCross1UpShort = input.bool (false, title='Price Cross Up: MA 1', inline='cross up', group='Short Conditions') useCross2UpShort = input.bool (false, title='MA 2', inline='cross up', group='Short Conditions') useCross3UpShort = input.bool (false, title='MA 3', inline='cross up', group='Short Conditions') useCross4UpShort = input.bool (false, title='MA 4', inline='cross up', group='Short Conditions') useCross5UpShort = input.bool (false, title='MA 5', inline='cross up', group='Short Conditions') useCross6UpShort = input.bool (false, title='MA 6', inline='cross up', group='Short Conditions') useCross7UpShort = input.bool (false, title='MA 7', inline='cross up', group='Short Conditions') useCross8UpShort = input.bool (false, title='MA 8', inline='cross up', group='Short Conditions') useCross1DnShort = input.bool (false, title='Price Cross Down: MA 1', inline='cross dn', group='Short Conditions') useCross2DnShort = input.bool (false, title='MA 2', inline='cross dn', group='Short Conditions') useCross3DnShort = input.bool (false, title='MA 3', inline='cross dn', group='Short Conditions') useCross4DnShort = input.bool (false, title='MA 4', inline='cross dn', group='Short Conditions') useCross5DnShort = input.bool (false, title='MA 5', inline='cross dn', group='Short Conditions') useCross6DnShort = input.bool (false, title='MA 6', inline='cross dn', group='Short Conditions') useCross7DnShort = input.bool (false, title='MA 7', inline='cross dn', group='Short Conditions') useCross8DnShort = input.bool (false, title='MA 8', inline='cross dn', group='Short Conditions') useMATestShort = input.bool (false, title='MA Test (beta)', inline='ma test', group='Short Conditions', tooltip='Experimental. This will check to see if the candle touches the moving average and closes below it, or if the previous candle opened below and closed above, and the signal candle closes back below.') i_maTestedShort = input.string ('MA 1', title='', options= , inline='ma test', group='Short Conditions') includeRSIShort = input.bool (false, title='RSI', inline='rsi', group='Short Conditions') rsiLowShort = input.float (38, title='Above', inline='rsi', group='Short Conditions') rsiHighShort = input.float (62, title='Below', inline='rsi', group='Short Conditions') useRsiCrossShort = input.bool (false, title='RSI cross', inline='rsi cross', group='Short Conditions') rsiCrossDirShort = input.string ('Below', title='', options= , inline='rsi cross', group='Short Conditions') rsiCrossLevelShort = input.float (50, title='', minval=0, maxval=100, inline='rsi cross', group='Short Conditions') includeStochShort = input.bool (false, title='Stoch', inline='stoch', group='Short Conditions') stochKBelowD = input.bool (false, title='K < D', inline='stoch', group='Short Conditions') useStochRangeShort = input.bool (false, title='Stoch In Range?',inline='stoch 2', group='Short Conditions') stochLowShort = input.float (20, title='Low', inline='stoch 2', group='Short Conditions') stochHighShort = input.float (80, title='High', inline='stoch 2', group='Short Conditions') includeSRSIShort = input.bool (false, title='Stoch RSI', inline='srsi', group='Short Conditions') srsiLowShort = input.float (90, title='Low', minval=0, maxval=100, inline='srsi', group='Short Conditions') srsiHighShort = input.float (100, title='High', minval=0, maxval=100, inline='srsi', group='Short Conditions') includeBBShort = input.bool (false, title='Bollinger Bands', inline='bb', group='Short Conditions') includBBBiasShort = input.bool (false, title='Bias', inline='bb', group='Short Conditions', tooltip='Signal only if the BB midline is below the chosen moving average.') includeBBTestShort = input.bool (false, title='Test Upper (Experimental)', inline='bb', group='Short Conditions', tooltip='Signal only on a test of the upper band.') includeBBRShort = input.bool (false, title='BB%B', inline='bb2', group='Short Conditions') bbrDirShort = input.string ('Above', title='', options= , inline='bb2', group='Short Conditions') bbrLevelShort = input.float (0.9, title='', minval=-1, maxval=2, inline='bb2', group='Short Conditions') includeBBWPShort = input.bool (false, title='BBWP', inline='bbwp', group='Short Conditions') bbwpMinShort = input.float (0, title='Min', minval=0, maxval=100, step=0.01, inline='bbwp', group='Short Conditions') bbwpMaxShort = input.float (35, title='Max', minval=0, maxval=100, step=0.01, inline='bbwp', group='Short Conditions') includeBBWPMaDShort = input.bool (false, title='BBWP MA Direction', inline='bbwpMa', group='Short Conditions') bbwpMaDShort = input.string ('Down', title='', options= , inline='bbwpMa', group='Short Conditions') includePMARPShort = input.bool (false, title='PMARP', inline='pmarp', group='Short Conditions') pmarpShortAB = input.string ('Above', title='', options= , inline='pmarp', group='Short Conditions') pmarpThresholdShort = input.float (85, title='', inline='pmarp', group='Short Conditions') usePmarpCrossMaShort= input.bool (false, title='PMARP Crossing MA', inline='pmarp2', group='Short Conditions') pmarpCrossDirShort = input.string ('Down', title='', options= , inline='pmarp2', group='Short Conditions') useDMIShort = input.bool (false, title='DMI', inline='dmi', group='Short Conditions') dmiPNShort = input.string ('Positive', title='', options= , inline='dmi', group='Short Conditions') dmiABShort = input.string ('Above', title='DMI', options= , inline='dmi 2', group='Short Conditions') dmiThresholdShort = input.float (-20, title='', inline='dmi 2', tooltip='DMI level to be below or above for "Custom" option', group='Short Conditions') dmiFlipShort = input.bool (false, title='Only on flip', inline='dmi 3', group='Short Conditions', tooltip='Signal only on the bar where the DMI flip occurs.') useADXShort = input.bool (false, title='ADX Range', inline='adx', group='Short Conditions') adxABShort = input.string ('Below', title='', options= , inline='adx', group='Short Conditions') adxThresholdShort = input.float (20, title='', inline='adx', group='Short Conditions') useADXDirShort = input.bool (false, title='ADX Direction', inline='adx 2', group='Short Conditions') adxDirShort = input.string ('Rising', title='', options= , inline='adx 2', group='Short Conditions') useVwapShort = input.bool (false, title='VWAP', inline='vwap', group='Short Conditions') vwapABShort = input.string ('Above', title='', options= , inline='vwap', group='Short Conditions') vwapLevelShort = input.string ('VWAP', title='', options= , inline='vwap', group='Short Conditions') ////////////////////////////////////////////////////////////// // Calculations // Function to calculate moving averages based on chosen type f_ma(source, length, type) => switch type 'SMA' => ta.sma(source, length) 'EMA' => ta.ema(source, length) 'RMA' => ta.rma(source, length) 'WMA' => ta.wma(source, length) // volume vMa = f_ma(volume, vMaLength, vMaType) vAboveMa = volume > vMa vAboveMult = volume >= volume * vMult vAboveBoth = vAboveMa and vAboveMult vAboveLong = volumeAboveLong == 'MA' ? vAboveMa : volumeAboveLong == 'Mult' ? vAboveMult : vAboveBoth vAboveShort = volumeAboveShort == 'MA' ? vAboveMa : volumeAboveShort == 'Mult' ? vAboveMult : vAboveBoth // Moving Averages ma1 = f_ma(maSource, ma1Length, ma1Type) ma2 = f_ma(maSource, ma2Length, ma2Type) ma3 = f_ma(maSource, ma3Length, ma3Type) ma4 = f_ma(maSource, ma4Length, ma4Type) ma5 = f_ma(maSource, ma5Length, ma5Type) ma6 = f_ma(maSource, ma6Length, ma6Type) ma7 = f_ma(maSource, ma7Length, ma7Type) ma8 = f_ma(maSource, ma8Length, ma8Type) // Function to convert chosen MA to MA series f_convertMA (ma) => switch ma 'MA 1' => ma1 'MA 2' => ma2 'MA 3' => ma3 'MA 4' => ma4 'MA 5' => ma5 'MA 6' => ma6 'MA 7' => ma7 'MA 8' => ma8 ma1Above2 = ma1 > ma2 ma1Above3 = ma1 > ma3 ma1Above4 = ma1 > ma4 ma1Above5 = ma1 > ma5 ma1Above6 = ma1 > ma6 ma1Above7 = ma1 > ma7 ma1Above8 = ma1 > ma8 ma2Above1 = ma2 > ma1 ma2Above3 = ma2 > ma3 ma2Above4 = ma2 > ma4 ma2Above5 = ma2 > ma5 ma2Above6 = ma2 > ma6 ma2Above7 = ma2 > ma7 ma2Above8 = ma2 > ma8 ma3Above1 = ma3 > ma1 ma3Above2 = ma3 > ma2 ma3Above4 = ma3 > ma4 ma3Above5 = ma3 > ma5 ma3Above6 = ma3 > ma6 ma3Above7 = ma3 > ma7 ma3Above8 = ma3 > ma8 ma4Above1 = ma4 > ma1 ma4Above2 = ma4 > ma2 ma4Above3 = ma4 > ma3 ma4Above5 = ma4 > ma5 ma4Above6 = ma4 > ma6 ma4Above7 = ma4 > ma7 ma4Above8 = ma4 > ma8 ma5Above1 = ma5 > ma1 ma5Above2 = ma5 > ma2 ma5Above3 = ma5 > ma3 ma5Above4 = ma5 > ma4 ma5Above6 = ma5 > ma6 ma5Above7 = ma5 > ma7 ma5Above8 = ma5 > ma8 ma6Above1 = ma6 > ma1 ma6Above2 = ma6 > ma2 ma6Above3 = ma6 > ma3 ma6Above4 = ma6 > ma4 ma6Above5 = ma6 > ma5 ma6Above7 = ma6 > ma7 ma6Above8 = ma6 > ma8 ma7Above1 = ma7 > ma1 ma7Above2 = ma7 > ma2 ma7Above3 = ma7 > ma3 ma7Above4 = ma7 > ma4 ma7Above5 = ma7 > ma5 ma7Above6 = ma7 > ma6 ma7Above8 = ma7 > ma8 ma8Above1 = ma8 > ma1 ma8Above2 = ma8 > ma2 ma8Above3 = ma8 > ma3 ma8Above4 = ma8 > ma4 ma8Above5 = ma8 > ma5 ma8Above6 = ma8 > ma6 ma8Above7 = ma8 > ma7 // Price crossing moving average checks pCrossUp1 = ta.crossover(close, ma1) pCrossUp2 = ta.crossover(close, ma2) pCrossUp3 = ta.crossover(close, ma3) pCrossUp4 = ta.crossover(close, ma4) pCrossUp5 = ta.crossover(close, ma5) pCrossUp6 = ta.crossover(close, ma6) pCrossUp7 = ta.crossover(close, ma7) pCrossUp8 = ta.crossover(close, ma8) pCrossDn1 = ta.crossunder(close, ma1) pCrossDn2 = ta.crossunder(close, ma2) pCrossDn3 = ta.crossunder(close, ma3) pCrossDn4 = ta.crossunder(close, ma4) pCrossDn5 = ta.crossunder(close, ma5) pCrossDn6 = ta.crossunder(close, ma6) pCrossDn7 = ta.crossunder(close, ma7) pCrossDn8 = ta.crossunder(close, ma8) pCrossLong = (not useCross1UpLong or pCrossUp1) and (not useCross2UpLong or pCrossUp2) and (not useCross3UpLong or pCrossUp3) and (not useCross4UpLong or pCrossUp4) and (not useCross5UpLong or pCrossUp5) and (not useCross6UpLong or pCrossUp6) and (not useCross7UpLong or pCrossUp7) and (not useCross8UpLong or pCrossUp8) and (not useCross1DnLong or pCrossDn1) and (not useCross2DnLong or pCrossDn2) and (not useCross3DnLong or pCrossDn3) and (not useCross4DnLong or pCrossDn4) and (not useCross5DnLong or pCrossDn5) and (not useCross6DnLong or pCrossDn6) and (not useCross7DnLong or pCrossDn7) and (not useCross8DnLong or pCrossDn8) pCrossShort = (not useCross1UpShort or pCrossUp1) and (not useCross2UpShort or pCrossUp2) and (not useCross3UpShort or pCrossUp3) and (not useCross4UpShort or pCrossUp4) and (not useCross5UpShort or pCrossUp5) and (not useCross6UpShort or pCrossUp6) and (not useCross7UpShort or pCrossUp7) and (not useCross8UpShort or pCrossUp8) and (not useCross1DnShort or pCrossDn1) and (not useCross2DnShort or pCrossDn2) and (not useCross3DnShort or pCrossDn3) and (not useCross4DnShort or pCrossDn4) and (not useCross5DnShort or pCrossDn5) and (not useCross6DnShort or pCrossDn6) and (not useCross7DnShort or pCrossDn7) and (not useCross8DnShort or pCrossDn8) // Moving average crossover checks cross1ma1 = f_convertMA(cross1ma1Str) cross1ma2 = f_convertMA(cross1ma2Str) cross2ma1 = f_convertMA(cross2ma1Str) cross2ma2 = f_convertMA(cross2ma2Str) cross3ma1 = f_convertMA(cross3ma1Str) cross3ma2 = f_convertMA(cross3ma2Str) cross1Up = maCrosses and useCross1 ? ta.crossover(cross1ma1, cross1ma2) : false cross1Down = maCrosses and useCross1 ? ta.crossunder(cross1ma1, cross1ma2) : false cross2Up = maCrosses and useCross2 ? ta.crossover(cross2ma1, cross2ma2) : false cross2Down = maCrosses and useCross2 ? ta.crossunder(cross2ma1, cross2ma2) : false cross3Up = maCrosses and useCross3 ? ta.crossover(cross3ma1, cross3ma2) : false cross3Down = maCrosses and useCross3 ? ta.crossunder(cross3ma1, cross3ma2) : false crossColor = cross3Up ? cross3Color1 : cross3Down ? cross3Color2 : cross2Up ? cross2Color1 : cross2Down ? cross2Color2 : cross1Up ? cross1Color1 : cross1Down ? cross1Color2 : na // Moving average test maTestedLong = f_convertMA(i_maTestedLong) maTestedShort = f_convertMA(i_maTestedShort) maTestLong = (low <= maTestedLong and close >= maTestedLong) or (open >= maTestedLong and close <= maTestedLong and close >= maTestedLong) maTestShort = (high >= maTestedShort and close <= maTestedShort) or (open <= maTestedShort and close >= maTestedShort and close <= maTestedShort) // Price check conversions priceAbMaLong = f_convertMA(priceAbMaLongStr) priceBlMaLong = f_convertMA(priceBlMaLongStr) priceAbMaShort = f_convertMA(priceAbMaShortStr) priceBlMaShort = f_convertMA(priceBlMaShortStr) // RSI up = ta.rma(math.max(ta.change(rsiSource), 0), rsiPeriod) down = ta.rma(-math.min(ta.change(rsiSource), 0), rsiPeriod) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsiCrossLong = rsiCrossDirLong == 'Above' ? ta.crossover(rsi, rsiCrossLevelLong) : ta.crossunder(rsi, rsiCrossLevelLong) rsiCrossShort = rsiCrossDirShort == 'Above' ? ta.crossover(rsi, rsiCrossLevelShort) : ta.crossunder(rsi, rsiCrossLevelShort) // Stochastic k = ta.sma(ta.stoch(stochSource, high, low, periodK), smoothK) d = ta.sma(k, periodD) stochInRangeLong = kdSig ? stochHighLong >= k and k >= stochLowLong and stochHighLong >= d and d >= stochLowLong : stochHighLong >= k and k >= stochLowLong stochInRangeShort = kdSig ? stochHighShort >= k and k >= stochLowShort and stochHighShort >= d and d >= stochLowShort : stochHighShort >= k and k >= stochLowShort // Stoch RSI sUp = ta.rma(math.max(ta.change(srsiSource), 0), srsiPeriod) sDown = ta.rma(-math.min(ta.change(srsiSource), 0), srsiPeriod) srsiRSI = sDown == 0 ? 100 : sUp == 0 ? 0 : 100 - (100 / (1 + sUp / sDown)) rsiSelect = srsiOwnRSI ? srsiRSI : rsi srsiK = ta.sma(ta.stoch(rsiSelect, rsiSelect, rsiSelect, srsiLength), srsiSmoothK) srsiD = ta.sma(srsiK, srsiSmoothD) srsiInRangeLong = srsiKDSig ? srsiHighLong >= srsiK and srsiK >= srsiLowLong and srsiHighLong >= srsiD and srsiD >= srsiLowLong : srsiHighLong >= srsiK and srsiK >= srsiLowLong srsiInRangeShort = srsiKDSig ? srsiHighShort >= srsiK and srsiK >= srsiLowShort and srsiHighShort >= srsiD and srsiD >= srsiLowShort : srsiHighShort >= srsiK and srsiK >= srsiLowShort // Bollinger Bands basis = ta.sma(bbSource, bbLength) dev = bbMult * ta.stdev(bbSource, bbLength) upper = basis + dev lower = basis - dev bbr = (bbSource - lower) / (upper - lower) bbrSignalLong = bbrDirLong == 'Above' ? bbr >= bbrLevelLong : bbr <= bbrLevelLong bbrSignalShort = bbrDirShort == 'Above' ? bbr >= bbrLevelShort : bbr <= bbrLevelShort bbUpTest = (high >= upper and close < upper and close > basis) or (close >= upper and close < upper and close > basis) bbLowTest = (low <= lower and close > lower and close < basis) or (close <= lower and close > lower and close < basis) bbBiasMA = f_convertMA(bbBiasMAStr) longBias = basis > bbBiasMA shortBias = basis < bbBiasMA fillColor = biasFill and longBias ? longFill : biasFill and shortBias ? shortFill : bbFill // BBWP // Credit to The_Caretaker f_maType ( _price, _len, _type ) => _type == 'SMA' ? ta.sma ( _price, _len ) : _type == 'EMA' ? ta.ema ( _price, _len ) : ta.vwma ( _price, _len ) f_bbwp ( _price, _bbwLen, _bbwpLen, _type ) => float _basis = f_maType ( _price, _bbwLen, _type ) float _dev = ta.stdev ( _price, _bbwLen ) _bbw = ( _basis + _dev - ( _basis - _dev )) / _basis _bbwSum = 0.0 _len = bar_index < _bbwpLen ? bar_index : _bbwpLen for _i = 1 to _len by 1 _bbwSum += ( _bbw > _bbw ? 0 : 1 ) _bbwSum _return = bar_index >= _bbwLen ? ( _bbwSum / _len) * 100 : na _return bbwp = f_bbwp ( bbwpPriceSource, bbwpLength, bbwpLookback, bbwpBasisType ) bbwpMa = f_ma (bbwp, bbwpMaLength, bbwpMaType) bbwpMaDirection = bbwpMa > bbwpMa ? 'Up' : bbwpMa < bbwpMa ? 'Down' : na // PMARP // Credit to The_Caretaker f_prior_sum ( _P, _X ) => math.sum ( _P , _X - 1 ) f_ma_val ( _P, _typ, _len ) => _typ == 'SMA' ? ta.sma ( _P, _len ) : _typ == 'EMA' ? ta.ema ( _P, _len ) : _typ == 'RMA' ? ta.rma ( _P, _len ) : _typ == 'HMA' ? ta.hma ( _P, _len ) : ta.vwma ( _P, _len ) f_pmarp ( _price, _pmarLen, _pmarpLen, _type_p ) => _pmar = math.abs ( _price / f_ma_val ( _price, _type_p, _pmarLen )) _pmarpSum = 0 _len = bar_index < _pmarpLen ? bar_index : _pmarpLen for i = 1 to _len by 1 _pmarpSum += ( _pmar > _pmar ? 0 : 1 ) _pmarpSum _return = bar_index >= _pmarLen ? _pmarpSum / _len * 100 : na ma = f_ma_val ( pmarpSource, pmarpMAType, pmarpLength ) pmar = pmarpSource / ma pmarp = f_pmarp ( pmarpSource, pmarpLength, pmarpLookback, pmarpMAType ) pmarpMa = f_ma(pmarp, pmarpSigLength, pmarpSigMAType) pmarpCrossUp = ta.crossover(pmarp, pmarpMa) pmarpCrossDown = ta.crossunder(pmarp, pmarpMa) // ADX/DMI dUp = ta.change(high) dDown = -ta.change(low) plusDM = na(dUp) ? na : (dUp > dDown and dUp > 0 ? dUp : 0) minusDM = na(dDown) ? na : (dDown > dUp and dDown > 0 ? dDown : 0) trur = ta.rma(ta.tr, diLength) plus = fixnan(100 * ta.rma(plusDM, diLength) / trur) minus = fixnan(100 * ta.rma(minusDM, diLength) / trur) sum = plus + minus adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxLength) diff = plus - minus // VWAP var cumVol = 0. cumVol += nz(volume) if barstate.islast and cumVol == 0 runtime.error("No volume is provided by the data vendor.") computeVWAP(src, isNewPeriod, stDevMultiplier) => var float sumSrcVol = na var float sumVol = na var float sumSrcSrcVol = na sumSrcVol := isNewPeriod ? src * volume : src * volume + sumSrcVol sumVol := isNewPeriod ? volume : volume + sumVol // sumSrcSrcVol calculates the dividend of the equation that is later used to calculate the standard deviation sumSrcSrcVol := isNewPeriod ? volume * math.pow(src, 2) : volume * math.pow(src, 2) + sumSrcSrcVol _vwap = sumSrcVol / sumVol variance = sumSrcSrcVol / sumVol - math.pow(_vwap, 2) variance := variance < 0 ? 0 : variance stDev = math.sqrt(variance) lowerBand = _vwap - stDev * stDevMultiplier upperBand = _vwap + stDev * stDevMultiplier timeChange(period) => ta.change(time(period)) isNewPeriod = switch anchor "Session" => timeChange("D") "Week" => timeChange("W") "Month" => timeChange("M") "Year" => timeChange("12M") => false if na(vwapSrc ) isNewPeriod := true float vwapValue = na float std = na float upperBandValue = na float lowerBandValue = na if not (hideonDWM and timeframe.isdwm) = computeVWAP(vwapSrc, isNewPeriod, vwapStDev) vwapValue := _vwap upperBandValue := vwapPlot and vwapShowBands ? top : na lowerBandValue := vwapPlot and vwapShowBands ? bottom : na vwapLevelLongValue = vwapLevelLong == 'Top' ? upperBandValue : vwapLevelLong == 'Bottom' ? lowerBandValue : vwapValue vwapLevelShortValue = vwapLevelShort == 'Top' ? upperBandValue : vwapLevelShort == 'Bottom' ? lowerBandValue : vwapValue // Calculations and variables to determine if a signal has been plotted recently var sigCheckArrayL = array.new_int (0) var sigCheckArrayS = array.new_int (0) sigCheckL = array.sum(sigCheckArrayL) > 0 ? true : false sigCheckS = array.sum(sigCheckArrayS) > 0 ? true : false // For testing signal checks // plotchar(sigCheckL, title='sigCheckL', char='.', color=noColor) // plotchar(sigCheckS, title='sigCheckS', char='.', color=noColor) // Time Off timeOffSession = time == time(timeframe=timeframe.period, session=timeOffRange, timezone='UTC') // Signals dayOff = useOffDays and ((offSun and dayofweek == dayofweek.sunday) or (offMon and dayofweek == dayofweek.monday) or (offTue and dayofweek == dayofweek.tuesday) or (offWed and dayofweek == dayofweek.wednesday) or (offThur and dayofweek == dayofweek.thursday) or (offFri and dayofweek == dayofweek.friday) or (offSat and dayofweek == dayofweek.saturday)) timeOff = useTimeOff and timeOffSession priceSignalLong = (not usePriceAbMaLong or close > priceAbMaLong) and (not usePriceBlMaLong or close < priceBlMaLong) priceSignalShort = (not usePriceAbMaShort or close > priceAbMaShort) and (not usePriceBlMaShort or close < priceBlMaShort) volSignalLong = not useVolumeLong or vAboveLong volSignalShort = not useVolumeShort or vAboveShort maSignalLong = (not i_ma1Above2 or ma1Above2) and (not i_ma2Above3 or ma2Above3) and (not i_ma3Above4 or ma3Above4) and (not i_ma4Above5 or ma4Above5) and (not i_ma5Above6 or ma5Above6) and (not i_ma6Above7 or ma6Above7) and (not i_ma7Above8 or ma7Above8) and (not useMATestLong or maTestLong) and pCrossLong maSignalShort = (not i_ma1Below2 or ma2Above1) and (not i_ma2Below3 or ma3Above2) and (not i_ma3Below4 or ma4Above3) and (not i_ma4Below5 or ma5Above4) and (not i_ma5Below6 or ma6Above5) and (not i_ma6Below7 or ma7Above6) and (not i_ma7Below8 or ma8Above7) and (not useMATestShort or maTestShort) and pCrossShort rsiSignalLong = not includeRSILong or (rsiHighLong > rsi and rsi > rsiLowLong) rsiSignalShort = not includeRSIShort or (rsiHighShort > rsi and rsi > rsiLowShort) rsiCrossSignalLong = not useRsiCrossLong or rsiCrossLong rsiCrossSignalShort = not useRsiCrossShort or rsiCrossShort stochSignalLong = not includeStochLong or ((not useStochRangeLong or stochInRangeLong) and (not stochKAboveD or k > d)) stochSignalShort = not includeStochShort or ((not useStochRangeShort or stochInRangeShort) and (not stochKBelowD or k < d)) srsiSignalLong = not includeSRSILong or srsiInRangeLong srsiSignalShort = not includeSRSIShort or srsiInRangeShort bbSignalLong = not includeBBLong or ((not includBBBiasLong or longBias) and (not includeBBTestLong or bbLowTest)) bbSignalShort = not includeBBShort or ((not includBBBiasShort or shortBias) and (not includeBBTestShort or bbUpTest)) bbwpSignalLong = (not includeBBWPLong or (bbwp < bbwpMaxLong and bbwp > bbwpMinLong)) and (not includeBBRLong or bbrSignalLong) bbwpSignalShort = (not includeBBWPShort or (bbwp < bbwpMaxShort and bbwp > bbwpMinShort)) and (not includeBBRShort or bbrSignalShort) bbwpMaSignalLong = not includeBBWPMaDLong or (includeBBWPMaDLong and bbwpMaDirection == bbwpMaDLong) bbwpMaSignalShort = not includeBBWPMaDShort or (includeBBWPMaDShort and bbwpMaDirection == bbwpMaDShort) pmarpSignalLong = not includePMARPLong or (pmarpLongAB == 'Above' and pmarp >= pmarpThresholdLong) or (pmarpLongAB == 'Below' and pmarp <= pmarpThresholdLong) pmarpSignalShort = not includePMARPShort or (pmarpShortAB == 'Above' and pmarp >= pmarpThresholdShort) or (pmarpShortAB == 'Below' and pmarp <= pmarpThresholdShort) pmarpMaCrossLong = not usePmarpCrossMaLong or (pmarpCrossDirLong == 'Up' and pmarpCrossUp) or (pmarpCrossDirLong == 'Down' and pmarpCrossDown) pmarpMaCrossShort = not usePmarpCrossMaShort or (pmarpCrossDirShort == 'Up' and pmarpCrossUp) or (pmarpCrossDirShort == 'Down' and pmarpCrossDown) dmiSignalLong = not useDMILong or ((not dmiFlipLong or (diff > 0 and diff <= 0) or (diff < 0 and diff >= 0)) and ((dmiPNLong == 'Positive' and diff > 0) or (dmiPNLong == 'Negative' and diff < 0) or dmiPNLong == 'Custom' and (dmiABLong == 'Above' and diff >= dmiThresholdLong) or (dmiABLong == 'Below' and diff <= dmiThresholdLong))) dmiSignalShort = not useDMIShort or ((not dmiFlipShort or (diff > 0 and diff <= 0) or (diff < 0 and diff >= 0)) and ((dmiPNShort == 'Positive' and diff > 0) or (dmiPNShort == 'Negative' and diff < 0) or dmiPNShort == 'Custom' and (dmiABShort == 'Above' and diff >= dmiThresholdShort) or (dmiABShort == 'Below' and diff <= dmiThresholdShort))) adxSignalLong = not useADXLong or (adxABLong == 'Above' and adx >= adxThresholdLong) or (adxABLong == 'Below' and adx <= adxThresholdLong) adxSignalShort = not useADXShort or (adxABShort == 'Above' and adx >= adxThresholdShort) or (adxABShort == 'Below' and adx <= adxThresholdShort) adxDirSignalLong = not useADXDirLong or (adxDirLong == 'Rising' and adx >= adx ) or (adxDirLong == 'Falling' and adx <= adx ) adxDirSignalShort = not useADXDirShort or (adxDirShort == 'Rising' and adx >= adx ) or (adxDirShort == 'Falling' and adx <= adx ) vwapSignalLong = not useVwapLong or (vwapABLong == 'Above' and close > vwapLevelLongValue) or (vwapABLong == 'Below' and close < vwapLevelLongValue) vwapSignalShort = not useVwapShort or (vwapABShort == 'Above' and close > vwapLevelShortValue) or (vwapABShort == 'Below' and close < vwapLevelShortValue) longSignal = includeLong and not dayOff and not timeOff and (not useSigCheck or not sigCheckL) and (not onlyConfirmed or barstate.isconfirmed) and priceSignalLong and volSignalLong and maSignalLong and rsiSignalLong and rsiCrossSignalLong and stochSignalLong and srsiSignalLong and bbSignalLong and bbwpSignalLong and bbwpMaSignalLong and pmarpSignalLong and pmarpMaCrossLong and dmiSignalLong and adxSignalLong and adxDirSignalLong and vwapSignalLong shortSignal = includeShort and not dayOff and not timeOff and (not useSigCheck or not sigCheckS) and (not onlyConfirmed or barstate.isconfirmed) and priceSignalShort and volSignalShort and maSignalShort and rsiSignalShort and rsiCrossSignalShort and stochSignalShort and srsiSignalShort and bbSignalShort and bbwpSignalShort and bbwpMaSignalShort and pmarpSignalShort and pmarpMaCrossShort and dmiSignalShort and adxSignalShort and adxDirSignalShort and vwapSignalShort // Check if a new signal should not be plotted array.push(sigCheckArrayL, longSignal ? 1 : 0) array.push(sigCheckArrayS, shortSignal ? 1 : 0) if array.size(sigCheckArrayL) > sigCheckBars array.remove(sigCheckArrayL, 0) if array.size(sigCheckArrayS) > sigCheckBars array.remove(sigCheckArrayS, 0) ////////////////////////////////////////////////////////////// // Plots // Background bgcolor(dayOff or timeOff ? color.new(color.purple, transp=80) : crossColor) // Moving Averages plot(includeMA1 ? ma1 : na, title='MA 1', color=ma1Color, linewidth=2, offset=0) plot(includeMA2 ? ma2 : na, title='MA 2', color=ma2Color, linewidth=2, offset=0) plot(includeMA3 ? ma3 : na, title='MA 3', color=ma3Color, linewidth=2, offset=0) plot(includeMA4 ? ma4 : na, title='MA 4', color=ma4Color, linewidth=2, offset=0) plot(includeMA5 ? ma5 : na, title='MA 5', color=ma5Color, linewidth=2, offset=0) plot(includeMA6 ? ma6 : na, title='MA 6', color=ma6Color, linewidth=2, offset=0) plot(includeMA7 ? ma7 : na, title='MA 7', color=ma7Color, linewidth=2, offset=0) plot(includeMA8 ? ma8 : na, title='MA 8', color=ma8Color, linewidth=2, offset=0) // Bollinger Bands plot(plotBB ? basis : na, title='Basis', color=color.orange, linewidth=1) p1 = plot(plotBB ? upper : na, title='Upper', color=color.blue, linewidth=2) p2 = plot(plotBB ? lower : na, title='Lower', color=color.blue, linewidth=2) fill(p1, p2, title='BB Background', color=fillColor) // VWAP plot(vwapPlot ? vwapValue : na, title="VWAP", color=vwapColor, linewidth=vwapWidth, offset=vwapOffset) upperBand = plot(upperBandValue, title="Upper Band", color=color.green, offset=vwapOffset) lowerBand = plot(lowerBandValue, title="Lower Band", color=color.green, offset=vwapOffset) fill(upperBand, lowerBand, title="Bands Fill", color= vwapShowBands ? color.new(color.green, 95) : na) // Signals plotshape(plotType == 'Shape' ? longSignal : na, title='Long', location=location.belowbar, style=shape.triangleup, size=size.small, color=color.blue) plotchar(plotType == 'Dot' ? longSignal : na, title='Long', location=location.belowbar, char='•', color=color.blue) plotshape(plotType == 'Shape' ? shortSignal : na, title='Short', location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red) plotchar(plotType == 'Dot' ? shortSignal : na, title='Short', location=location.abovebar, char='•', color=color.red) barcolor(plotType == 'Bar' and longSignal ? barColorLong : plotType == 'Bar' and shortSignal ? barColorShort : na) ////////////////////////////////////////////////////////////// // Alerts alertcondition(longSignal, title='Long Signal', message='DIY Long Signal') alertcondition(shortSignal, title='Short Signal', message='DIY Short Signal') alertcondition(longSignal or shortSignal, title='Any Signal', message='DIY Signal') alertcondition(cross1Up or cross1Down, title='MA Pair 1 Cross', message='DIY MA Cross Signal') alertcondition(cross2Up or cross2Down, title='MA Pair 2 Cross', message='DIY MA Cross Signal') alertcondition(cross3Up or cross3Down, title='MA Pair 3 Cross', message='DIY MA Cross Signal') ////////////////////////////////////////////////////////////// // Testing // plotchar(srsiK, 'k', char='.', color=noColor) // plotchar(srsiD, 'd', char='.', color=noColor)
Pine Script™ 인디케이터
mertalikeser의
Volume DashboardThis Pine Script code is a Volume Dashboard Indicator for TradingView. It primarily focuses on analyzing buy and sell volume ratios, put-to-call ratios, and trend crossovers to assess market sentiment. Key Features: Volume Analysis It calculates buy volume (green candles) and sell volume (red candles). It determines the buy-to-sell ratio to understand market pressure. Put-to-Call Ratio (PTCR) Analysis It retrieves Put-to-Call ratio (USI:PCC) to measure market sentiment (above 1 is bearish, below 1 is bullish). Trend Signals Identifies bullish and bearish crossovers between buy and sell volumes. Uses Simple Moving Averages (SMA) for smoothing volume ratios and PTCR. Market Session Filter Works within a specified trading session (09:30-16:00) to ensure accurate market data. Data Table Display Displays a custom table on the chart, showing: Buy Volume & Sell Volume Buy-to-Sell Ratio & SMA Market Leader (Bulls vs. Bears) Put-to-Call Ratio & SMA Volume % Change Overall Impression (Bullish/Bearish) Color Coding & Alerts Uses color-coded text and background for quick visual assessment. Plots triangle markers on the chart when bullish or bearish crossovers occur. Use Case: This script is useful for day traders and swing traders who want to monitor volume trends, buy/sell imbalances, and market sentiment changes in real-time.
Pine Script™ 인디케이터
turjoy012의
My script//@version=5 strategy("LINK/USDT Slippage Trading", overlay=true, default_qty_type=strategy.cash, default_qty_value=20) // تنظیمات کاربر slippage_percent = input.float(0.5, title="حد مجاز اسلیپیج (%)") / 100 stop_loss_percent = input.float(2, title="حد ضرر (%)") / 100 take_profit_percent = input.float(4, title="حد سود (%)") / 100 // محاسبه تغییر قیمت initial_price = ta.valuewhen(bar_index == bar_index , close, 0) price_change_percent = (close - initial_price) / initial_price // بررسی شرط اسلیپیج long_condition = price_change_percent >= slippage_percent // ورود به معامله if (long_condition) strategy.entry("Buy", strategy.long) // تنظیم حد ضرر و حد سود entry_price = strategy.position_avg_price stop_loss_price = entry_price * (1 - stop_loss_percent) take_profit_price = entry_price * (1 + take_profit_percent) // ثبت حد ضرر و حد سود strategy.exit("Take Profit/Stop Loss", from_entry="Buy", stop=stop_loss_price, limit=take_profit_price) // نمایش روی چارت plotshape(series=long_condition, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal")
Pine Script™ 인디케이터
amir2255의
Vinayz Options StratergyBack Tested Results with Banknifty from Year 2001 till March 21 2025 Metric Result (5-min) Result (15-min) 📈 Win Rate 77.6% 75.9% 💰 Profit Factor 3.52 3.09 📉 Max Drawdown -8.1% -9.4% 🕰️ Avg Trade Duration 2.7 hours 3.1 hours 🔥 Risk-Reward Ratio 1:2.25 1:2.15 💸 Total Trades 21,420 18,375 🚨 Max Consecutive Loss 4 trades 5 trades This strategy doesn't guarantee profits nor this is a recommendation to use this for trading. Use this at your own risk
Pine Script™ 스트래티지
vinayguj의
Sideways Market Detector//@version=5 indicator("Sideways Market Detector", overlay=true) // Inputs length = input(14, title="ADX Length") adxSmoothing = input(14, title="ADX Smoothing") // Added smoothing input adxThreshold = input(20, title="ADX Threshold") bbwLength = input(20, title="BB Width Length") bbwThreshold = input(0.05, title="BBW Threshold") // Calculate ADX properly = ta.dmi(length, adxSmoothing) // Calculate Bollinger Bands Width (BBW) basis = ta.sma(close, bbwLength) dev = ta.stdev(close, bbwLength) upper = basis + (dev * 2) lower = basis - (dev * 2) bbw = (upper - lower) / basis // Sideways Market Condition sideways = (adx < adxThreshold) and (bbw < bbwThreshold) // Background Color for Sideways Market bgcolor(sideways ? color.blue : na, transp=85) // Plot Signals plotshape(sideways, location=location.bottom, color=color.blue, style=shape.triangleup, title="Sideways Signal")
Pine Script™ 인디케이터
mjain801의
Psych LevelWhat it shows: This indicator will show a horizontal line at a psychological value which can be user defined. (Psychological values are round numbers, like 10,50,100,1000 and so on...) At these Psychological value there are often limit orders placed for both buying and selling and can often act as support and resistances. Therefore it is useful to pre-draw these levels beforehand and this indicator will speed up the process doing so by adjusting few different settings and draw them automatically. How to use it: At these Psychological value there are often limit orders placed for both buying and selling and can often act as support and resistances. This is often the case when you look at limit orders at such levels on bookmap or level 2 data. At these psychological levels it can be set as a target of your trade or as risk levels when taking a trade in either of direction. Obviously this alone shouldn't dictate the trade you should take but can be a valuable info to supplement your trade. On the chart it is clear to see these psychological level lines are acting as resistances/supports. Key settings: Interval: Interval levels will be drawn for, between the minimum and maximum values inputted by the user. Minimum value allowed is 1. Min. value: Minimum value of Psychological level that will be drawn. Minimum value allowed is 1. Max value: Maximum value of Psychological level that will be drawn. Minimum value allowed is 1. Line colour: Colour of line drawn. Line width: Width of line drawn. Line style: Style of line drawn, either solid, dotted or dashed. Label offset: Offset of where where label will be, measured from current bar. Offset of 0 will be drawn at current bar location, any positive number will move to the right by the set amount. Text Colour: Colour of label text Text size: Size of label text Example: Chart here shows setting for minimum value as 100, maximum value as 140 and interval as 5. In this setting lines will be automatically drawn at: 100,105,110,115,120,125,130,145 and 140. The flexibility of user defined max/min and interval values allows to be accommodated for price with different price tags, including stocks under $10. ---------------------------------------------------------------------- If anything is not clear please let me know!
Pine Script™ 인디케이터
Mereep01의
Session Start & Day BackgroundThis indicator visually enhances your TradingView charts by highlighting the start of each new trading day and coloring the background based on the day of the week. The first candle of each new trading day is marked in gray for better session separation. The background color changes based on the current day of the week, making it easier to recognize market patterns and trends at a glance. Works across all markets including Forex, Stocks, and Crypto. Designed to improve chart readability and market structure visualization. Ideal for traders who want a clearer overview of daily sessions and better differentiation between trading days! 🚀
Pine Script™ 인디케이터
Timomentum의
Price Guide NQ### **Price Guide NQ - Indicator Description (English)** The **Price Guide NQ** indicator is designed to plot horizontal guide lines at specific price levels based on the **daily opening price** of the Nasdaq (NQ) index. Instead of dynamically adjusting with each new candle, the levels remain fixed throughout the trading day, providing a stable reference for traders. #### **Key Features:** - **Daily Open-Based Levels**: The indicator captures the market's opening price each day and calculates the price guide levels from that fixed point. - **Predefined Price Increments**: It plots **30 levels above and below** the opening price in increments of 10 points (e.g., 19810, 19820, 19830, etc.). - **Clear Visualization**: The guide lines are drawn with a **dotted style** and a neutral **gray color** to avoid cluttering the chart while providing key reference levels. - **Automatic Line Management**: Each time a new trading day starts, the previous day's lines are removed, and new ones are plotted based on the fresh opening price. #### **Usage:** This indicator is particularly useful for traders looking to identify psychological price levels or areas of potential support and resistance throughout the trading session. Let me know if you'd like any modifications or enhancements! 🚀
Pine Script™ 인디케이터
EduVielmo의
OI-Based Buy/Sell with Stop-Loss//@version=5 strategy("OI-Based Buy/Sell with Stop-Loss", overlay=true) // **Supertrend Settings** atrLength = input(10, title="ATR Length") factor = input(3.0, title="Multiplier") = ta.supertrend(factor, atrLength) // **Moving Averages for Crossover Strategy** shortMA = ta.sma(close, 9) longMA = ta.sma(close, 21) // **Volume as OI Proxy** volMA = ta.sma(volume, 20) // 20-period moving average of volume high_OI = volume > volMA * 1.2 // OI increases when volume spikes above 120% of average // **Buy/Sell Conditions** buySignal = ta.crossover(shortMA, longMA) and direction == 1 and high_OI sellSignal = ta.crossunder(shortMA, longMA) and direction == -1 and high_OI // **Stop-Loss & Take-Profit (Risk Management)** stopLoss = close * 0.97 // 3% Stop Loss takeProfit = close * 1.05 // 5% Take Profit // **Execute Buy/Sell Orders** if buySignal strategy.entry("Buy", strategy.long) strategy.exit("Sell", from_entry="Buy", stop=stopLoss, limit=takeProfit) if sellSignal strategy.close("Buy") // **Plot Buy/Sell Signals on Chart** plotshape(buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="BUY") plotshape(sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="SELL") // **Plot Moving Averages & Supertrend** plot(shortMA, color=color.blue, title="Short MA") plot(longMA, color=color.orange, title="Long MA")
Pine Script™ 스트래티지
gaikwadsandesh699의
OI-Based Buy/Sell with Stop-Loss//@version=5 strategy("OI-Based Buy/Sell with Stop-Loss", overlay=true) // **Supertrend Settings** atrLength = input(10, title="ATR Length") factor = input(3.0, title="Multiplier") = ta.supertrend(factor, atrLength) // **Moving Averages for Crossover Strategy** shortMA = ta.sma(close, 9) longMA = ta.sma(close, 21) // **Volume as OI Proxy** volMA = ta.sma(volume, 20) // 20-period moving average of volume high_OI = volume > volMA * 1.2 // OI increases when volume spikes above 120% of average // **Buy/Sell Conditions** buySignal = ta.crossover(shortMA, longMA) and direction == 1 and high_OI sellSignal = ta.crossunder(shortMA, longMA) and direction == -1 and high_OI // **Stop-Loss & Take-Profit (Risk Management)** stopLoss = close * 0.97 // 3% Stop Loss takeProfit = close * 1.05 // 5% Take Profit // **Execute Buy/Sell Orders** if buySignal strategy.entry("Buy", strategy.long) strategy.exit("Sell", from_entry="Buy", stop=stopLoss, limit=takeProfit) if sellSignal strategy.close("Buy") // **Plot Buy/Sell Signals on Chart** plotshape(buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="BUY") plotshape(sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="SELL") // **Plot Moving Averages & Supertrend** plot(shortMA, color=color.blue, title="Short MA") plot(longMA, color=color.orange, title="Long MA")
Pine Script™ 스트래티지
gaikwadsandesh699의
Bollinger Band Breakout StrategyI've created a complete PineScript v6 trading strategy based on your requirements. This strategy implements Bollinger Bands breakout rules combined with EMA trend filtering, RSI momentum confirmation, and volume analysis. The strategy includes: Entry conditions: Long when price closes above the upper Bollinger Band during an uptrend with volume confirmation Short when price closes below the lower Bollinger Band during a downtrend with volume confirmation Exit conditions: Take profit based on a configurable risk-reward ratio (default 2:1) Stop loss placed at recent swing lows/highs or at the EMA(50) Additional exit when price crosses the opposite Bollinger Band Risk management: Uses 100% of equity for position sizing Commission set to 0.1% as specified Implements proper risk calculation based on stop distance Trend and market condition filters: Only enters longs in uptrends (price > EMA20 > EMA50) Only enters shorts in downtrends (price < EMA20 < EMA50) Skips trades during choppy or sideways markets Confirms breakouts with volume and OBV Visual elements: Plots all indicators for visual reference Shows buy/sell signals on the chart Displays a status table with real-time market conditions
Pine Script™ 스트래티지
jerich100의
2
Fib Speed Resistance Fan with High/Low Lines & Alertsplots a Fibonacci Speed Resistance Fan using the first and third candles of the trading session starting at 9:15 AM. It also draws horizontal lines at the high and low of the first candle and triggers alerts when the price crosses these levels. 🔍 What the Script Does: Identifies Key Candles The script determines the first candle at 9:15 AM and the third candle of the session. Draws the Fibonacci Speed Resistance Fan Calculates Fibonacci levels (0.25, 0.5, 0.75, 1) based on the first and third candle's high and low. Draws trendlines extending from the first candle's high/low to these levels. Adds Horizontal Lines for Reference A red dashed horizontal line at the first candle’s high. A blue dashed horizontal line at the first candle’s low. Triggers Alerts When Price Crosses Key Levels Breakout Alert (🚀) → When price crosses above the first candle's high. Breakdown Alert (🔻) → When price crosses below the first candle's low. Alerts can be used for popup notifications, emails, or SMS alerts in TradingView. Displays Labels on Chart When Price Crosses Levels Shows a green "🚀 Breakout" label when price moves above the high. Shows a red "🔻 Breakdown" label when price moves below the low.
Pine Script™ 인디케이터
spiritedtez의