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Entry ChecklistThis Pine Script creates a checklist table displayed in the bottom-right corner of the chart. It shows: 1. Whether the next earnings date is within the next 2 weeks 2. Whether the current month is a traditionally weak month (May, August, or September) Each row includes: • A check title • The current value (e.g., date or month) • A ❌ red cross if the condition is met (warning signal) Useful for quickly assessing seasonal and earnings-related risks.
Pine Script® indicator
by billchanHK
Entry Bars -This algorithm takes in consideration Media averages, Volatility Movements and other Mathematical Properties. -After adding this signal on TradingView, you will get notified every of potential long and short points triggered by the indicator. -This signal alerts you anytime bars form a bullish or bearish pattern and price start to move in the suggested direction. -It works in any time frame or market like Forex, Crypto, Commodities even Stocks. -Recommended for bots or manual trading. Do you need an Script or an expert adviser for Forex, contact our coding service Get this indicator today! contact us
Pine Script® indicator
by Vertical-X
2
Amazing Crossover SystemEntry Rules BUY when the 5 EMA crosses above the 10 EMA from underneath and the RSI crosses above the 50.0 mark from the bottom. SELL when the 5 EMA crosses below the 10 EMA from the top and the RSI crosses below the 50.0 mark from the top. Make sure that the RSI did cross 50.0 from the top or bottom and not just ranging tightly around the level. How to setup Alert: 1) Add the Amazing Crossover System to your chart via Indicators 2) Find your currency pair 3) Set the timeframe on the chart to 1 hour 4) Press 'Alt + A' (create alert shortcut) 5) Set the following criteria for the alert: Condition = 'Amazing Crossover System', Plot, ' BUY Signal' The rest of the alert can be customized to your preferences 5) Repeat steps 1 - 4, but set the Condition = 'Amazing Crossover System', Plot, ' SELL Signal'
Pine Script® indicator
by rmunoz
4
Razzere Cloned! EzAlgo V.8.1showBuySell = input(true, "Show Buy & Sell", group="BUY & SELL SIGNALS") hassasiyet = input.float(3, "Hassasiyet (1-6)", 0.1, 99999, group="BUY & SELL SIGNALS") percentStop = input.float(1, "Stop Loss % (0 to Disable)", 0, group="BUY & SELL SIGNALS") offsetSignal = input.float(5, "Signals Offset", 0, group="BUY & SELL SIGNALS") showRibbon = input(true, "Show Trend Ribbon", group="TREND RIBBON") smooth1 = input.int(5, "Smoothing 1", 1, group="TREND RIBBON") smooth2 = input.int(8, "Smoothing 2", 1, group="TREND RIBBON") showreversal = input(true, "Show Reversals", group="REVERSAL SIGNALS") showPdHlc = input(false, "Show P.D H/L/C", group="PREVIOUS DAY HIGH LOW CLOSE") lineColor = input.color(color.yellow, "Line Colors", group="PREVIOUS DAY HIGH LOW CLOSE") lineWidth = input.int(1, "Width Lines", group="PREVIOUS DAY HIGH LOW CLOSE") lineStyle = input.string("Solid", "Line Style", ) labelSize = input.string("normal", "Label Text Size", ) labelColor = input.color(color.yellow, "Label Text Colors") showEmas = input(false, "Show EMAs", group="EMA") srcEma1 = input(close, "Source EMA 1") lenEma1 = input.int(7, "Length EMA 1", 1) srcEma2 = input(close, "Source EMA 2") lenEma2 = input.int(21, "Length EMA 2", 1) srcEma3 = input(close, "Source EMA 3") lenEma3 = input.int(144, "Length EMA 3", 1) showSwing = input(false, "Show Swing Points", group="SWING POINTS") prdSwing = input.int(10, "Swing Point Period", 2, group="SWING POINTS") colorPos = input(color.new(color.green, 50), "Positive Swing Color") colorNeg = input(color.new(color.red, 50), "Negative Swing Color") showDashboard = input(true, "Show Dashboard", group="TREND DASHBOARD") locationDashboard = input.string("Middle Right", "Table Location", , group="TREND DASHBOARD") tableTextColor = input(color.white, "Table Text Color", group="TREND DASHBOARD") tableBgColor = input(#2A2A2A, "Table Background Color", group="TREND DASHBOARD") sizeDashboard = input.string("Normal", "Table Size", , group="TREND DASHBOARD") showRevBands = input.bool(true, "Show Reversal Bands", group="REVERSAL BANDS") lenRevBands = input.int(30, "Length", group="REVERSAL BANDS") // Fonksiyonlar smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r percWidth(len, perc) => (ta.highest(len) - ta.lowest(len)) * perc / 100 securityNoRep(sym, res, src) => request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) swingPoints(prd) => pivHi = ta.pivothigh(prd, prd) pivLo = ta.pivotlow (prd, prd) last_pivHi = ta.valuewhen(pivHi, pivHi, 1) last_pivLo = ta.valuewhen(pivLo, pivLo, 1) hh = pivHi and pivHi > last_pivHi ? pivHi : na lh = pivHi and pivHi < last_pivHi ? pivHi : na hl = pivLo and pivLo > last_pivLo ? pivLo : na ll = pivLo and pivLo < last_pivLo ? pivLo : na f_chartTfInMinutes() => float _resInMinutes = timeframe.multiplier * ( timeframe.isseconds ? 1 : timeframe.isminutes ? 1. : timeframe.isdaily ? 60. * 24 : timeframe.isweekly ? 60. * 24 * 7 : timeframe.ismonthly ? 60. * 24 * 30.4375 : na) f_kc(src, len, hassasiyet) => basis = ta.sma(src, len) span = ta.atr(len) wavetrend(src, chlLen, avgLen) => esa = ta.ema(src, chlLen) d = ta.ema(math.abs(src - esa), chlLen) ci = (src - esa) / (0.015 * d) wt1 = ta.ema(ci, avgLen) wt2 = ta.sma(wt1, 3) f_top_fractal(src) => src < src and src < src and src > src and src > src f_bot_fractal(src) => src > src and src > src and src < src and src < src f_fractalize (src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0 f_findDivs(src, topLimit, botLimit) => fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na highPrev = ta.valuewhen(fractalTop, src , 0) highPrice = ta.valuewhen(fractalTop, high , 0) lowPrev = ta.valuewhen(fractalBot, src , 0) lowPrice = ta.valuewhen(fractalBot, low , 0) bearSignal = fractalTop and high > highPrice and src < highPrev bullSignal = fractalBot and low < lowPrice and src > lowPrev // Bileşen... source = close smrng1 = smoothrng(source, 27, 1.5) smrng2 = smoothrng(source, 55, hassasiyet) smrng = (smrng1 + smrng2) / 2 filt = rngfilt(source, smrng) up = 0.0, up := filt > filt ? nz(up ) + 1 : filt < filt ? 0 : nz(up ) dn = 0.0, dn := filt < filt ? nz(dn ) + 1 : filt > filt ? 0 : nz(dn ) bullCond = bool(na), bullCond := source > filt and source > source and up > 0 or source > filt and source < source and up > 0 bearCond = bool(na), bearCond := source < filt and source < source and dn > 0 or source < filt and source > source and dn > 0 lastCond = 0, lastCond := bullCond ? 1 : bearCond ? -1 : lastCond bull = bullCond and lastCond == -1 bear = bearCond and lastCond == 1 countBull = ta.barssince(bull) countBear = ta.barssince(bear) trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0 ribbon1 = ta.sma(close, smooth1) ribbon2 = ta.sma(close, smooth2) rsi = ta.rsi(close, 21) rsiOb = rsi > 70 and rsi > ta.ema(rsi, 10) rsiOs = rsi < 30 and rsi < ta.ema(rsi, 10) dHigh = securityNoRep(syminfo.tickerid, "D", high ) dLow = securityNoRep(syminfo.tickerid, "D", low ) dClose = securityNoRep(syminfo.tickerid, "D", close ) ema1 = ta.ema(srcEma1, lenEma1) ema2 = ta.ema(srcEma2, lenEma2) ema3 = ta.ema(srcEma3, lenEma3) = swingPoints(prdSwing) ema = ta.ema(close, 144) emaBull = close > ema equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes() and not timeframe.isseconds higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes() or timeframe.isseconds too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10) securityNoRep1(sym, res, src) => bool bull_ = na bull_ := equal_tf(res) ? src : bull_ bull_ := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_on) : bull_ bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) + (timeframe.isseconds ? "S" : "") : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src) if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res) bull_ := array.pop(bull_array) array.clear(bull_array) bull_ TF1Bull = securityNoRep1(syminfo.tickerid, "1" , emaBull) TF3Bull = securityNoRep1(syminfo.tickerid, "3" , emaBull) TF5Bull = securityNoRep1(syminfo.tickerid, "5" , emaBull) TF15Bull = securityNoRep1(syminfo.tickerid, "15" , emaBull) TF30Bull = securityNoRep1(syminfo.tickerid, "30" , emaBull) TF60Bull = securityNoRep1(syminfo.tickerid, "60" , emaBull) TF120Bull = securityNoRep1(syminfo.tickerid, "120" , emaBull) TF240Bull = securityNoRep1(syminfo.tickerid, "240" , emaBull) TF480Bull = securityNoRep1(syminfo.tickerid, "480" , emaBull) TFDBull = securityNoRep1(syminfo.tickerid, "1440", emaBull) = f_kc(close, lenRevBands, 3) = f_kc(close, lenRevBands, 4) = f_kc(close, lenRevBands, 5) = f_kc(close, lenRevBands, 6) = wavetrend(hlc3, 9, 12) = f_findDivs(wt2, 15, -40) = f_findDivs(wt2, 45, -65) wtDivBull = wtDivBull1 or wtDivBull2 wtDivBear = wtDivBear1 or wtDivBear2 // Renkler cyan = #00DBFF, cyan30 = color.new(cyan, 70) pink = #E91E63, pink30 = color.new(pink, 70) red = #FF5252, red30 = color.new(red , 70) // Plotlar off = percWidth(300, offsetSignal) plotshape(showBuySell and bull ? low - off : na, "Buy Label" , shape.labelup , location.absolute, cyan, 0, "Buy" , color.white, size=size.normal) plotshape(showBuySell and bear ? high + off : na, "Sell Label", shape.labeldown, location.absolute, pink, 0, "Sell", color.white, size=size.normal) plotshape(ta.crossover(wt1, wt2) and wt2 <= -53, "Mild Buy" , shape.xcross, location.belowbar, cyan, size=size.tiny) plotshape(ta.crossunder(wt1, wt2) and wt2 >= 53, "Mild Sell", shape.xcross, location.abovebar, pink, size=size.tiny) plotshape(wtDivBull, "Divergence Buy ", shape.triangleup , location.belowbar, cyan, size=size.tiny) plotshape(wtDivBear, "Divergence Sell", shape.triangledown, location.abovebar, pink, size=size.tiny) barcolor(up > dn ? cyan : pink) plotshape(showreversal and rsiOs, "Reversal Buy" , shape.diamond, location.belowbar, cyan30, size=size.tiny) plotshape(showreversal and rsiOb, "Reversal Sell", shape.diamond, location.abovebar, pink30, size=size.tiny) lStyle = lineStyle == "Solid" ? line.style_solid : lineStyle == "Dotted" ? line.style_dotted : line.style_dashed lSize = labelSize == "small" ? size.small : labelSize == "normal" ? size.normal : size.large dHighLine = showPdHlc ? line.new(bar_index, dHigh, bar_index + 1, dHigh , xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dHighLine ) dLowLine = showPdHlc ? line.new(bar_index, dLow , bar_index + 1, dLow , xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dLowLine ) dCloseLine = showPdHlc ? line.new(bar_index, dClose, bar_index + 1, dClose, xloc.bar_index, extend.both, lineColor, lStyle, lineWidth) : na, line.delete(dCloseLine ) dHighLabel = showPdHlc ? label.new(bar_index + 100, dHigh , "P.D.H", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dHighLabel ) dLowLabel = showPdHlc ? label.new(bar_index + 100, dLow , "P.D.L", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dLowLabel ) dCloseLabel = showPdHlc ? label.new(bar_index + 100, dClose, "P.D.C", xloc.bar_index, yloc.price, #000000, label.style_none, labelColor, lSize) : na, label.delete(dCloseLabel ) plot(showEmas ? ema1 : na, "EMA 1", color.green , 2) plot(showEmas ? ema2 : na, "EMA 2", color.purple, 2) plot(showEmas ? ema3 : na, "EMA 3", color.yellow, 2) plotshape(showSwing ? hh : na, "", shape.triangledown, location.abovebar, color.new(color.green, 50), -prdSwing, "HH", colorPos, false) plotshape(showSwing ? hl : na, "", shape.triangleup , location.belowbar, color.new(color.green, 50), -prdSwing, "HL", colorPos, false) plotshape(showSwing ? lh : na, "", shape.triangledown, location.abovebar, color.new(color.red , 50), -prdSwing, "LH", colorNeg, false) plotshape(showSwing ? ll : na, "", shape.triangleup , location.belowbar, color.new(color.red , 50), -prdSwing, "LL", colorNeg, false) srcStop = close atrBand = srcStop * (percentStop / 100) atrStop = trigger ? srcStop - atrBand : srcStop + atrBand lastTrade(src) => ta.valuewhen(bull or bear, src, 0) entry_y = lastTrade(srcStop) stop_y = lastTrade(atrStop) tp1_y = (entry_y - lastTrade(atrStop)) * 1 + entry_y tp2_y = (entry_y - lastTrade(atrStop)) * 2 + entry_y tp3_y = (entry_y - lastTrade(atrStop)) * 3 + entry_y labelTpSl(y, txt, color) => label labelTpSl = percentStop != 0 ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, color.white, size.normal) : na label.delete(labelTpSl ) labelTpSl(entry_y, "Entry: " + str.tostring(math.round_to_mintick(entry_y)), color.gray) labelTpSl(stop_y , "Stop Loss: " + str.tostring(math.round_to_mintick(stop_y)), color.red) labelTpSl(tp1_y, "Take Profit 1: " + str.tostring(math.round_to_mintick(tp1_y)), color.green) labelTpSl(tp2_y, "Take Profit 2: " + str.tostring(math.round_to_mintick(tp2_y)), color.green) labelTpSl(tp3_y, "Take Profit 3: " + str.tostring(math.round_to_mintick(tp3_y)), color.green) lineTpSl(y, color) => line lineTpSl = percentStop != 0 ? line.new(bar_index - (trigger ? countBull : countBear) + 4, y, bar_index + 1, y, xloc.bar_index, extend.none, color, line.style_solid) : na line.delete(lineTpSl ) lineTpSl(entry_y, color.gray) lineTpSl(stop_y, color.red) lineTpSl(tp1_y, color.green) lineTpSl(tp2_y, color.green) lineTpSl(tp3_y, color.green) var dashboard_loc = locationDashboard == "Top Right" ? position.top_right : locationDashboard == "Middle Right" ? position.middle_right : locationDashboard == "Bottom Right" ? position.bottom_right : locationDashboard == "Top Center" ? position.top_center : locationDashboard == "Middle Center" ? position.middle_center : locationDashboard == "Bottom Center" ? position.bottom_center : locationDashboard == "Top Left" ? position.top_left : locationDashboard == "Middle Left" ? position.middle_left : position.bottom_left var dashboard_size = sizeDashboard == "Large" ? size.large : sizeDashboard == "Normal" ? size.normal : sizeDashboard == "Small" ? size.small : size.tiny var dashboard = showDashboard ? table.new(dashboard_loc, 2, 15, tableBgColor, #000000, 2, tableBgColor, 1) : na dashboard_cell(column, row, txt, signal=false) => table.cell(dashboard, column, row, txt, 0, 0, signal ? #000000 : tableTextColor, text_size=dashboard_size) dashboard_cell_bg(column, row, col) => table.cell_set_bgcolor(dashboard, column, row, col) if barstate.islast and showDashboard dashboard_cell(0, 0 , "EzAlgo") dashboard_cell(0, 1 , "Current Position") dashboard_cell(0, 2 , "Current Trend") dashboard_cell(0, 3 , "Volume") dashboard_cell(0, 4 , "Timeframe") dashboard_cell(0, 5 , "1 min:") dashboard_cell(0, 6 , "3 min:") dashboard_cell(0, 7 , "5 min:") dashboard_cell(0, 8 , "15 min:") dashboard_cell(0, 9 , "30 min:") dashboard_cell(0, 10, "1 H:") dashboard_cell(0, 11, "2 H:") dashboard_cell(0, 12, "4 H:") dashboard_cell(0, 13, "8 H:") dashboard_cell(0, 14, "Daily:") dashboard_cell(1, 0 , "V.8.1") dashboard_cell(1, 1 , trigger ? "Buy" : "Sell", true), dashboard_cell_bg(1, 1, trigger ? color.green : color.red) dashboard_cell(1, 2 , emaBull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 2, emaBull ? color.green : color.red) dashboard_cell(1, 3 , str.tostring(volume)) dashboard_cell(1, 4 , "Trends") dashboard_cell(1, 5 , TF1Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 5 , TF1Bull ? color.green : color.red) dashboard_cell(1, 6 , TF3Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 6 , TF3Bull ? color.green : color.red) dashboard_cell(1, 7 , TF5Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 7 , TF5Bull ? color.green : color.red) dashboard_cell(1, 8 , TF15Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 8 , TF15Bull ? color.green : color.red) dashboard_cell(1, 9 , TF30Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 9 , TF30Bull ? color.green : color.red) dashboard_cell(1, 10, TF60Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 10, TF60Bull ? color.green : color.red) dashboard_cell(1, 11, TF120Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 11, TF120Bull ? color.green : color.red) dashboard_cell(1, 12, TF240Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 12, TF240Bull ? color.green : color.red) dashboard_cell(1, 13, TF480Bull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 13, TF480Bull ? color.green : color.red) dashboard_cell(1, 14, TFDBull ? "Bullish" : "Bearish", true), dashboard_cell_bg(1, 14, TFDBull ? color.green : color.red) plot(showRevBands ? upperKC1 : na, "Rev.Zone Upper 1", red30) plot(showRevBands ? upperKC2 : na, "Rev.Zone Upper 2", red30) plot(showRevBands ? upperKC3 : na, "Rev.Zone Upper 3", red30) plot(showRevBands ? upperKC4 : na, "Rev.Zone Upper 4", red30) plot(showRevBands ? lowerKC4 : na, "Rev.Zone Lower 4", cyan30) plot(showRevBands ? lowerKC3 : na, "Rev.Zone Lower 3", cyan30) plot(showRevBands ? lowerKC2 : na, "Rev.Zone Lower 2", cyan30) plot(showRevBands ? lowerKC1 : na, "Rev.Zone Lower 1", cyan30) fill(plot(showRibbon ? ribbon1 : na, "", na, editable=false), plot(showRibbon ? ribbon2 : na, "", na, editable=false), ribbon1 > ribbon2 ? cyan30 : pink30, "Ribbon Fill Color") // Alarmlar alert01 = ta.crossover(ribbon1, ribbon2) alert02 = bull alert03 = wtDivBull alert04 = wtDivBear alert05 = bull or bear alert06 = ta.crossover(wt1, wt2) and wt2 <= -53 alert07 = ta.crossunder(wt1, wt2) and wt2 >= 53 alert08 = ta.crossunder(ribbon1, ribbon2) alert09 = rsiOb or rsiOs alert10 = bear alert11 = ta.cross(ribbon1, ribbon2) alerts(sym) => if alert02 or alert03 or alert04 or alert06 or alert07 or alert10 alert_text = alert02 ? "Buy Signal EzAlgo" : alert03 ? "Strong Buy Signal EzAlgo" : alert04 ? "Strong Sell Signal EzAlgo" : alert06 ? "Mild Buy Signal EzAlgo" : alert07 ? "Mild Sell Signal EzAlgo" : "Sell Signal EzAlgo" alert(alert_text, alert.freq_once_per_bar_close) alerts(syminfo.tickerid) alertcondition(alert01, "Blue Trend Ribbon Alert", "Blue Trend Ribbon, TimeFrame={{interval}}") alertcondition(alert02, "Buy Signal", "Buy Signal EzAlgo") alertcondition(alert03, "Divergence Buy Alert", "Strong Buy Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert04, "Divergence Sell Alert", "Strong Sell Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert05, "Either Buy or Sell Signal", "EzAlgo Signal") alertcondition(alert06, "Mild Buy Alert", "Mild Buy Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert07, "Mild Sell Alert", "Mild Sell Signal EzAlgo, TimeFrame={{interval}}") alertcondition(alert08, "Red Trend Ribbon Alert", "Red Trend Ribbon, TimeFrame={{interval}}") alertcondition(alert09, "Reversal Signal", "Reversal Signal") alertcondition(alert10, "Sell Signal", "Sell Signal EzAlgo") alertcondition(alert11, "Trend Ribbon Color Change Alert", "Trend Ribbon Color Change, TimeFrame={{interval}}")
Pine Script® indicator
by ARMAGAN007
POWER INDICATOR - PRO PREMIUM by OeZKAN 👑 POWER INDICATOR PRO PREMIUM V24: Predictive Intelligence Meets Precision ExecutionThe POWER INDICATOR PRO PREMIUM V24 is the pinnacle of algorithmic trading intelligence. This system transcends traditional indicators by utilizing a sophisticated framework of advanced mathematical equations to predict the impending trend direction before the market moves. It combines Smart Money Concepts (SMC), Multi-Timeframe (MTF) convergence, and Dynamic Risk Management to deliver unparalleled clarity and execution confidence.If you seek a trading partner that provides leading, predictive signals and high-probability entries, this system is your definitive solution.🧠 The Core Element: Predictive Market Context & Directional ForecastThe foundational strength of the POWER INDICATOR is its ability to forecast the market's bias through advanced quantification:🚀 Directional Pre-Cognition (LRC & Mathematical Models):The system utilizes the Linear Regression Curve (LRC) and proprietary statistical models as its core mathematical engine. This process extrapolates the probable trend path and generates a Directional Forecast for the coming bars, enabling you to anticipate moves rather than react to them. This forecast serves as the ultimate bias filter.🧠 The Convictional Filter: Quantifying Probability ($60\%$ Confidence):This filter is our proprietary Probability Brain. It eliminates market noise by forcing convergence across multiple high-level factors (MTF agreement, Momentum, SMC levels).High-Conviction Threshold: Independent analysis confirms that the Conviction Filter provides an exceptionally high win rate and signal quality starting at just $60\%$. Setting your threshold at this level ensures you only consider trades where the predictive mathematical components are in strong alignment.🌊 FVG & GP Predictive Zones:The system automatically identifies and projects critical Fair Value Gaps (FVG/LSOB) and the Golden Pocket (GP) Re-Test Zone. These zones are algorithmically identified as high-probability targets for pullbacks and reversals, providing a clear map of where liquidity will be sought.💡 The Convictional Trading Workflow: A 3-Step Guide to ExecutionContext Check: Confirm the LRC Directional Forecast aligns with your trade and the Conviction Score Meter is above your desired threshold (minimum $60\%$).Optimal Entry: Wait for the signal to trigger at a high-R:R entry point (GP, FVG, or Aggressive Impulse), guided by your chosen trading mode.Dynamic Management: Let the system handle risk, utilizing Structural SL and automatic Multi-Method Trailing Stops post-TP1.🎯 Mode Selection: Matching Strategy to MarketThe indicator's power lies in its Modularity. Selecting the correct mode is crucial for optimizing your results.Trading StyleRecommended ModesPrimary Rationale & Entry LogicHigh-Frequency ScalpingCT Scalp-OnlyDesigned for counter-trend entries in a pullback towards the Golden Pocket (GP). Uses tighter SL/TP multipliers for quick profit-taking. (Fast, high-R:R)ATR Channel Scalp (ACS)Utilizes volatility channels (ATR bands) for quick mean-reversion trades when price overextends.Strategic Day Trading / Swing TradingUltimate Fusion Mode (UFM)The highest probability mode. Best for catching major shifts confirmed by SMC (LRC, GP, FVG, MSS). Waits for a deep, high-R:R Re-Test Entry.Haupttrend & Scalp (Kombi)Excellent general-purpose mode. Focuses on trend continuation but allows for high-R:R pullback entries at key levels (GP/FVG). (Balanced)FVG Mitigation Entry (FME)Ideal for SMC traders. Waits for the price to precisely re-test and mitigate an unmitigated Fair Value Gap (FVG) or Liquidity Sweep (LSOB) zone before entry.Breakout & Momentum TradingBand Breakout-OnlyTriggers an entry only when price decisively breaks outside the SMA Volatility Bands (configurable). Filtered by momentum requirements.Dynamic Range Expansion (DRE)Specifically detects low-volatility consolidation before an anticipated high-momentum expansion phase.🔔 The Master Alert System: Your Execution EdgeThe powerful Alert functionality ensures you can monitor multiple assets and timeframes without being glued to the screen.1. ✅ Dynamic MASTER ALARM (Compact Text)The core alert uses a compact, dynamic JSON/text message that contains all necessary information for quick execution:Action: BUY / SELLMode Used: Conviction Score: Key Level: 2. LRC/GP Combo-Alert (High-R:R)This is the most valuable alert for strategic traders. It triggers only when the LRC direction is confirmed and the price enters the Golden Pocket (GP) Re-Test Zone, indicating an optimal high-R:R pullback opportunity.Final Note: To maximize the predictive power, ensure the useConvictionFilter is set to a minimum of $60\%$ and the useStructureSL is activated to protect your capital with intelligent stop placement.Stop reacting. Start predicting. Activate the POWER INDICATOR PRO PREMIUM V24 and lead the market today!
Pine Script® indicator
by Oezkan1983
S50 Complete Hedge & Trade SystemTFEX:S501! คู่มือการเทรด CALENDAR SPREAD 1. กลยุทธ์หลัก: MEAN REVERSION SPREAD TRADING หลักการ: - Spread ระหว่าง series จะมีค่าเฉลี่ย (Mean) และแกว่งไปมารอบๆ ค่าเฉลี่ยนี้ - เมื่อ Spread เบี่ยงเบนไปจาก Mean มากเกินไป จะกลับมาหาค่าเฉลี่ย (Mean Reversion) 2. INDICATORS ที่ใช้ A. Z-Score Z-Score = (Spread ปัจจุบัน - Spread เฉลี่ย) / Standard Deviation การตีความ: - Z > +2.0 → Spread แพงเกินไป → SHORT spread - Z < -2.0 → Spread ถูกเกินไป → LONG spread - Z ≈ 0 → Spread อยู่ที่ค่าเฉลี่ย → EXIT B. Correlation Correlation > 0.9 = ดีมาก (เคลื่อนไหวพร้อมกัน 90%+) Correlation > 0.7 = ดี (ใช้ได้) Correlation < 0.7 = ไม่แนะนำ (Hedge ไม่มีประสิทธิภาพ) C. Beta & Hedge Ratio Beta = Cov(S1, S2) / Var(S2)→ บอกว่า S1 เคลื่อนไหวเท่าไหร่เมื่อ S2 เคลื่อนไหว 1 หน่วย Hedge Ratio = Beta→ ใช้คำนวณจำนวน contract ที่ต้อง hedge 3. วิธีการเทรด SPREAD (ทีละขั้นตอน) STEP 1: หาโอกาส เงื่อนไข Entry: 1. |Z-Score| >= 2.0 2. Correlation > 0.7 3. Signal = "SHORT SPREAD" หรือ "LONG SPREAD" STEP 2: คำนวณ Position Size ตัวอย่าง: - Account Size = 1,000,000 บาท - Risk Per Trade = 2% = 20,000 บาท - Spread Std Dev = 15 จุด - Stop Loss = 1.0x Std Dev = 15 จุด - S50 มูลค่า = 5 บาท/จุด Position Size = Risk Amount / (SL Distance × Point Value) = 20,000 / (15 × 5) = 20,000 / 75 = 266 contracts (ปัดเป็น 26 สัญญา) STEP 3: คำนวณ Hedge Ratio สมมติ: Beta (S1:S2) = 1.05 ถ้าเทรด SHORT S2-S1 spread: - Sell S2: 26 contracts - Buy S1: 26 × 1.05 = 27.3 → ปัดเป็น 27 contracts Portfolio Delta ≈ 0 (Market Neutral) 4. ตัวอย่างการเทรดจริง SCENARIO A: SHORT SPREAD (Z-Score = +2.5) สถานการณ์: - S2-S1 Spread = 50 จุด - Spread MA = 35 จุด - Spread Std Dev = 6 จุด - Z-Score = (50-35)/6 = +2.5 ⚠️ แพงเกินไป - Correlation = 0.92 ✅ - Beta = 1.05 TRADE PLAN: 1. SELL S2: 10 contracts @ 1,200 2. BUY S1: 10 × 1.05 = 10.5 → 11 contracts @ 1,150 Initial Spread = 50 จุด Take Profit (TP): - Target Spread = MA = 35 จุด - TP Distance = 50 - 35 = 15 จุด - Profit = 15 × 5 = 75 บาท/spread - Total Profit = 75 × 10 = 750 บาท Stop Loss (SL): - SL Spread = MA + (1.5 × Std Dev) = 35 + 9 = 44 จุด - SL Distance = 50 - 44 = 6 จุด (ผิดพลาด - ควรเป็น 50 + 6 = 56) - Loss = 6 × 5 × 10 = 300 บาท Risk:Reward = 300:750 = 1:2.5 SCENARIO B: LONG SPREAD (Z-Score = -2.3) สถานการณ์: - S3-S2 Spread = 20 จุด - Spread MA = 35 จุด - Spread Std Dev = 6.5 จุด - Z-Score = (20-35)/6.5 = -2.3 ⚠️ ถูกเกินไป - Correlation = 0.88 ✅ - Beta = 1.03 TRADE PLAN: 1. BUY S3: 10 contracts @ 1,230 2. SELL S2: 10 × 1.03 = 10.3 → 10 contracts @ 1,210 Initial Spread = 20 จุด Take Profit: - Target Spread = 35 จุด - Profit = (35-20) × 5 × 10 = 750 บาท Stop Loss: - SL Spread = MA - (1.5 × Std Dev) = 35 - 9.75 = 25.25 จุด - SL = 20 - (20-25.25) = 14 จุด - Loss = 6 × 5 × 10 = 300 บาท 5. RISK MANAGEMENT A. Position Sizing Rules 1. อย่าเสี่ยงเกิน 2-3% ต่อการเทรด 2. ใช้ Beta Hedge Ratio เสมอ 3. ตรวจสอบ Margin requirement B. Stop Loss Strategy วิธีที่ 1: Fixed Std Dev - SL = Entry ± (1.0-1.5x Std Dev) วิธีที่ 2: ATR-based - SL = Entry ± (1.5x ATR) วิธีที่ 3: Time-based - ปิดภายใน 3-5 วัน ถ้าไม่ได้กำไร C. Take Profit Strategy วิธีที่ 1: Target MA - TP เมื่อ Spread กลับมาที่ MA วิธีที่ 2: Partial Profit - ปิด 50% เมื่อได้ 1x Std Dev - ปิดอีก 50% เมื่อ Z-Score = 0 วิธีที่ 3: Trailing Stop - Trailing SL = 0.5x Std Dev 6. สูตรคำนวณสำคัญ 1. Position Size position_size = (account_size × risk_pct) / (sl_distance × point_value) 2. Hedge Contracts hedge_contracts = position_size × beta 3. Profit/Loss Calculation pnl = (exit_spread - entry_spread) × contracts × point_value 4. Risk:Reward Ratio risk = sl_distance × contracts × point_value reward = tp_distance × contracts × point_value rr_ratio = reward / risk // ควร >= 2:1 5. Spread Value spread_value = price_far - price_near 7. CHECKLIST ก่อนเทรด ☐ Z-Score >= ±2.0 ☐ Correlation > 0.7 ☐ Beta Hedge Ratio คำนวณแล้ว ☐ Position Size ไม่เกิน 2-3% risk ☐ TP/SL กำหนดชัดเจน ☐ Risk:Reward >= 2:1 ☐ Margin เพียงพอ ☐ ตรวจสอบ Expiry Date ทั้ง 2 series 8. เทคนิคขั้นสูง A. Calendar Roll Strategy เมื่อ Near series ใกล้หมดอายุ: 1. ปิด Near leg 2. เปิด Next series leg ใหม่ 3. รักษา Spread position ต่อไป B. Butterfly Spread ใช้ 3 series พร้อมกัน: - Buy S1 - Sell 2×S2 - Buy S3 เหมาะกับตลาดไซด์เวย์ C. Dynamic Hedging ปรับ Hedge Ratio ตาม: - Beta ที่เปลี่ยนแปลง - Volatility - Time to Expiry
Pine Script® indicator
by Thanapongpun