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Friendly Stretch Band Regime + Filters (Close Confirm + Hold)What it is A calm, regime-based stretch band that highlights only three states: BUY zone, SELL zone, and Neutral. Designed to reduce noise and visual overload by avoiding markers, labels, and background tint. How it works Bands are built from an EMA basis ± ATR. BUY Zone: price below lower band (lower band turns green) SELL Zone: price above upper band (upper band turns red) Neutral: price inside bands (bands grey) Stability Options Confirm on Close: requires CLOSE beyond the band (reduces wick spikes) Hold Bars: holds zone state for N bars after the trigger ends (reduces flicker) Optional Filters (applied only if enabled) Trend filter (basis slope or slow EMA) ATR expansion gate Minimum exceed beyond band (ATR units) Suggested Use Best used as a clean “location/context” tool on swing timeframes (e.g., 4H). It can be paired with a separate momentum/confirmation tool. Repainting & Disclaimer Uses only current and historical bar data (no security() calls). Values may update on the realtime bar before close. Educational use only; not financial advice.
Indikator Pine Script®
oleh hamedayub83
Swing IA Cockpit [v2]//@version=5 indicator("Swing IA Cockpit ", overlay=true, max_bars_back=500) // === INPUTS === mode = input.string("Pullback", title="Entry Mode", options= ) corrLen = input.int(60, "Correlation Window Length") scoreWeightBias = input.float(0.6, title="Weight: Bias", minval=0, maxval=1) scoreWeightTiming = 1.0 - scoreWeightBias // === INDICATEURS H1 === ema200_H1 = ta.ema(close, 200) ema50_H1 = ta.ema(close, 50) rsi_H1 = ta.rsi(close, 14) donchianHigh = ta.highest(high, 20) donchianLow = ta.lowest(low, 20) atr_H1 = ta.atr(14) avgATR_H1 = ta.sma(atr_H1, 50) body = math.abs(close - open) avgBody = ta.sma(body, 20) // === H4 / D1 === close_H4 = request.security(syminfo.tickerid, "240", close) ema200_H4 = request.security(syminfo.tickerid, "240", ta.ema(close, 200)) rsi_H4 = request.security(syminfo.tickerid, "240", ta.rsi(close, 14)) atr_H4 = request.security(syminfo.tickerid, "240", ta.atr(14)) avgATR_H4 = request.security(syminfo.tickerid, "240", ta.sma(ta.atr(14), 50)) close_D1 = request.security(syminfo.tickerid, "D", close) ema200_D1 = request.security(syminfo.tickerid, "D", ta.ema(close, 200)) // === CORRÉLATIONS === dxy = request.security("TVC:DXY", "60", close) spx = request.security("SP:SPX", "60", close) gold = request.security("OANDA:XAUUSD", "60", close) corrDXY = ta.correlation(close, dxy, corrLen) corrSPX = ta.correlation(close, spx, corrLen) corrGold = ta.correlation(close, gold, corrLen) // === LOGIQUE BIAIS === biasLong = close_D1 > ema200_D1 and close_H4 > ema200_H4 and rsi_H4 >= 55 biasShort = close_D1 < ema200_D1 and close_H4 < ema200_H4 and rsi_H4 <= 45 bias = biasLong ? "LONG" : biasShort ? "SHORT" : "NEUTRAL" // === LOGIQUE TIMING === isBreakoutLong = mode == "Breakout" and high > donchianHigh and close > ema200_H1 and rsi_H1 > 50 isBreakoutShort = mode == "Breakout" and low < donchianLow and close < ema200_H1 and rsi_H1 < 50 var float breakoutPrice = na var int breakoutBar = na if isBreakoutLong or isBreakoutShort breakoutPrice := close breakoutBar := bar_index validPullbackLong = mode == "Pullback" and not na(breakoutBar) and bar_index <= breakoutBar + 3 and close > ema50_H1 and low <= ema50_H1 validPullbackShort = mode == "Pullback" and not na(breakoutBar) and bar_index <= breakoutBar + 3 and close < ema50_H1 and high >= ema50_H1 timingLong = isBreakoutLong or validPullbackLong timingShort = isBreakoutShort or validPullbackShort // === SCORES === scoreTrend = (close_D1 > ema200_D1 ? 20 : 0) + (close_H4 > ema200_H4 ? 20 : 0) scoreMomentumBias = (rsi_H4 >= 55 or rsi_H4 <= 45) ? 20 : 10 scoreCorr = 0 scoreCorr += biasLong and corrDXY < 0 ? 10 : 0 scoreCorr += biasLong and corrSPX > 0 ? 10 : 0 scoreCorr += biasLong and corrGold >= 0 ? 10 : 0 scoreCorr += biasShort and corrDXY > 0 ? 10 : 0 scoreCorr += biasShort and corrSPX < 0 ? 10 : 0 scoreCorr += biasShort and corrGold <= 0 ? 10 : 0 scoreCorr := math.min(scoreCorr, 30) scoreVolBias = atr_H4 > avgATR_H4 ? 10 : 0 scoreBias = scoreTrend + scoreMomentumBias + scoreCorr + scoreVolBias scoreStruct = (timingLong or timingShort) ? 40 : 0 scoreMomentumTiming = rsi_H1 > 50 or rsi_H1 < 50 ? 25 : 10 scoreTrendH1 = (close > ema50_H1 and ema50_H1 > ema200_H1) or (close < ema50_H1 and ema50_H1 < ema200_H1) ? 20 : 10 scoreVolTiming = atr_H1 > avgATR_H1 ? 15 : 5 scoreTiming = scoreStruct + scoreMomentumTiming + scoreTrendH1 + scoreVolTiming scoreTotal = scoreBias * scoreWeightBias + scoreTiming * scoreWeightTiming scoreLong = biasLong ? scoreTotal : 0 scoreShort = biasShort ? scoreTotal : 0 delta = scoreLong - scoreShort scoreExtMomentum = (rsi_H4 > 55 ? 10 : 0) scoreExtVol = atr_H4 > avgATR_H4 ? 10 : 0 scoreExtStructure = body > avgBody ? 10 : 5 scoreExtCorr = (scoreCorr > 15 ? 10 : 5) scoreExtension = scoreExtMomentum + scoreExtVol + scoreExtStructure + scoreExtCorr // === VERDICT FINAL === verdict = "NO TRADE" verdict := bias == "NEUTRAL" or math.abs(delta) < 10 or scoreTotal < 70 ? "NO TRADE" : scoreTotal < 80 ? "WAIT" : scoreTotal >= 85 and math.abs(delta) >= 20 and scoreExtension >= 60 ? "TRADE A+" : "TRADE" // === TABLE COCKPIT === var table cockpit = table.new(position.top_right, 2, 9, border_width=1) if bar_index % 5 == 0 table.cell(cockpit, 0, 0, "Bias", bgcolor=color.gray) table.cell(cockpit, 1, 0, bias) table.cell(cockpit, 0, 1, "ScoreBias", bgcolor=color.gray) table.cell(cockpit, 1, 1, str.tostring(scoreBias)) table.cell(cockpit, 0, 2, "ScoreTiming", bgcolor=color.gray) table.cell(cockpit, 1, 2, str.tostring(scoreTiming)) table.cell(cockpit, 0, 3, "ScoreTotal", bgcolor=color.gray) table.cell(cockpit, 1, 3, str.tostring(scoreTotal)) table.cell(cockpit, 0, 4, "ScoreLong", bgcolor=color.gray) table.cell(cockpit, 1, 4, str.tostring(scoreLong)) table.cell(cockpit, 0, 5, "ScoreShort", bgcolor=color.gray) table.cell(cockpit, 1, 5, str.tostring(scoreShort)) table.cell(cockpit, 0, 6, "Delta", bgcolor=color.gray) table.cell(cockpit, 1, 6, str.tostring(delta)) table.cell(cockpit, 0, 7, "Extension", bgcolor=color.gray) table.cell(cockpit, 1, 7, str.tostring(scoreExtension)) table.cell(cockpit, 0, 8, "Verdict", bgcolor=color.gray) table.cell(cockpit, 1, 8, verdict, bgcolor=verdict == "TRADE A+" ? color.green : verdict == "TRADE" ? color.lime : verdict == "WAIT" ? color.orange : color.red) // === ALERTS === alertcondition(verdict == "TRADE A+" and bias == "LONG", title="TRADE A+ LONG", message="TRADE A+ signal long") alertcondition(verdict == "TRADE A+" and bias == "SHORT", title="TRADE A+ SHORT", message="TRADE A+ signal short") alertcondition(verdict == "NO TRADE", title="NO TRADE / RANGE", message="Marché confus ou neutre — pas de trade")
Indikator Pine Script®
oleh matpi2278
SolQuant WatermarkSOLQUANT WATERMARK The SolQuant Watermark is a professional-grade utility script designed for traders, educators, and content creators who want to keep their charts organized and branded. By utilizing Pine Script’s table functions, this indicator ensures your custom text and symbol data stay pinned to the screen, regardless of where you scroll on the price action. KEY FEATURES Customizable Branding: Display your community name, website, or social handles anywhere on the chart. Automated Symbol Data: Dynamic tracking of the current Asset, Timeframe, and Date—perfect for keeping screenshots contextually accurate. Precision Placement: Choose from 9 different anchor points (Top-Left, Bottom-Right, etc.) to ensure the UI never interferes with your technical analysis. Visual Scaling: 5 different size settings (Tiny to Huge) to accommodate high-resolution displays or mobile viewing. Aesthetic Control: Fully adjustable color palettes, background transparency, and border toggles. WHY USE A TABLE-BASED WATERMARK? Unlike standard chart labels which are tied to specific price/time coordinates, this tool uses the Table API . This means: The watermark stays in place while you scroll through history. It doesn't disappear when you "hide" other drawing tools. It scales consistently across different devices. INSTRUCTIONS 1. Branding: Open settings and type your link or handle into the "Quote Text" area. 2. Symbol Info: Toggle the "Symbol Info" section to automatically display asset names and dates for your records. 3. Layout: Use the X and Y position dropdowns to move the modules if they overlap with your current price action or other indicators. Note: This is a visual utility tool only. It does not provide trade signals or financial advice.
Indikator Pine Script®
oleh lost_sol_
LDEF SENS Loss Dependent Error Filter Dominance Regime SwitchCAPITALCOM:GOLD LDEF SENS stands for Loss Dependent Error Filter. This indicator is a dominance regime filter with an adaptive switch boundary. It separates the market into two main states. Directional tradeable tape (trend and impulse conditions) Balanced noisy tape (higher fakeout probability) It also provides a dominance direction bias (bull vs bear) and an adaptive boundary you can use as a market switch signal. What you see in the indicator pane (bottom panel) Main line (0 to 100): dominance sensitivity score Line color meaning Green: bullish dominance (L greater than R) Red: bearish dominance (R greater than L) Gray: low strength or mixed tape Purple line: adaptive regime boundary (moving threshold) Violet shading: regime ON (tradeable conditions) Key idea: height equals strength, color equals direction, violet shading equals regime state. How to read the three images Image A - Regime ON in a trending environment Where to look Price panel: left to middle shows a clean up move Indicator panel: directly below the same time window Violet band is present for a sustained stretch Main line stays high and mostly green What it means When the violet band stays ON, the tape is directional enough for trend following setups to have higher quality. This is not an entry signal. It is an environment filter. Image B - Switch boundary and state changes Where to look Indicator panel: focus on the purple adaptive line and the main line crossing relative to it Watch the moment the main line moves above the purple line. In the same region, violet shading turns ON. What it means The purple line is the adaptive regime boundary. Cross above: regime switches toward directional tape (state change confirmation) Cross below: regime fades and chop risk returns Image C - Direction semantics inside a regime Where to look Indicator panel: inside violet shaded regions Main line is green during bullish dominance (L greater than R) Main line is red during bearish dominance (R greater than L) What it means Violet answers: is this a tradeable regime Green or red answers: which side is dominating Together, they provide a filter plus bias framework. Practical usage Regime filter Prefer setups only when the violet band is ON Reduce size or tighten criteria when the violet band is OFF Direction bias Prefer longs when the line is green Prefer shorts when the line is red Treat gray as no edge or mixed tape Switch boundary analysis Cross above purple: treat as regime shift confirmation Cross below purple: treat as regime cooling off and higher chop risk Limitations This is a regime and dominance tool, not a standalone entry generator. Regime confirmation can be late by design, especially after shocks. Use it with structure, liquidity, and risk management.
Indikator Pine Script®
oleh TheWannaBeQuant
5
EMA 9 & 26 Crossover By SN TraderEMA 9 & 26 Crossover – Trend & Momentum Indicator For Scalpers The EMA 9 & EMA 26 Crossover Indicator is a simple yet powerful trend-following tool designed to identify high-probability buy and sell signals based on short-term and medium-term momentum shifts. This indicator is widely used by scalpers, intraday traders, and swing traders across Forex, Crypto, Stocks, Indices, and Commodities. 🔹 Indicator Logic EMA 9 (Green) → Fast momentum EMA 26 (Red) → Trend direction BUY Signal When EMA 9 crosses above EMA 26 Indicates bullish momentum and possible trend reversal or continuation SELL Signal When EMA 9 crosses below EMA 26 Indicates bearish momentum and potential downside movement Clear BUY / SELL labels are plotted directly on the chart for easy visual confirmation. 📈 How to Trade Using This Indicator ✔ Enter BUY trades after EMA 9 crosses above EMA 26 ✔ Enter SELL trades after EMA 9 crosses below EMA 26 ✔ Use higher timeframes (15m, 1H, 4H) for stronger signals ✔ Combine with RSI, MACD, UT Bot, VWAP, Support & Resistance for confirmation ✅ Best Use Cases Trend reversal identification Momentum-based entries Scalping & intraday strategies Swing trading trend confirmation Works on all timeframes ⚙️ Features ✔ Lightweight & fast ✔ Beginner-friendly ✔ Non-repainting signals ✔ Pine Script v6 compatible ✔ Clean visual design ⚠️ Disclaimer This indicator is for educational purposes only and should not be considered financial advice. Always apply proper risk management and confirm signals with additional analysis.
Indikator Pine Script®
oleh Alphagenfx
Multi-Metric Valuation IndicatorMulti-Metric Valuation Indicator - Accumulation/Distribution Signal This indicator combines six proven technical metrics into a single composite valuation score to help identify optimal accumulation and distribution zones for any asset. Built with the Mayer Multiple as its foundation, it provides a comprehensive view of whether an asset is overvalued or undervalued. Core Components: Mayer Multiple - Compares current price to 200-day moving average (traditional Bitcoin valuation metric) RSI (Relative Strength Index) - Identifies overbought/oversold momentum conditions Bollinger Band Position - Measures price location within volatility bands 50-Day MA Deviation - Tracks short-term trend strength Rate of Change (ROC) - Captures momentum shifts Volume Analysis - Confirms price moves with relative volume strength How It Works: Each metric is scored from -1 (extremely undervalued) to +1 (extremely overvalued) using granular thresholds. These scores are averaged into a composite valuation score that oscillates around zero: < -0.4: Strong Accumulation Zone (dark green background) -0.4 to -0.2: Accumulation Zone (light green background) -0.2 to +0.2: Neutral Zone (gray background) +0.2 to +0.4: Distribution Zone (light red background) > +0.4: Strong Distribution Zone (dark red background) Key Features: Real-time scoring table displays all component values and their individual scores Color-coded composite line (green = undervalued, red = overvalued) Background shading for instant visual signal recognition Built-in alerts for strong accumulation/distribution crossovers Fully customizable inputs for all parameters Clean, efficient code using ternary operators and one-line declarations Best Use Cases: Long-term position accumulation strategies Identifying macro market tops and bottoms Dollar-cost averaging entry/exit planning Multi-timeframe confirmation (works on daily, weekly, monthly charts) Risk management and position sizing decisions Interpretation: When the composite score drops below -0.4, multiple metrics simultaneously indicate undervaluation - a historically favorable accumulation opportunity. Conversely, scores above +0.4 suggest distribution may be prudent as multiple indicators flash overbought signals. The indicator is most powerful when combined with fundamental analysis and proper risk management. It's designed to keep emotions in check during extreme market conditions.
Indikator Pine Script®
oleh MonkeyPhone
Triple ST + MACD + 7x MTF EMA + VWAP + ORB//@version=6 indicator('Triple ST + MACD + 7x MTF EMA + VWAP + ORB', overlay = true, max_labels_count = 500) //━━━━━━━━━━━━━━━━━━━ // INPUTS //━━━━━━━━━━━━━━━━━━━ // SuperTrend Group atrPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend") multiplierPrimary = input.float(4.0, 'Primary ST Multiplier', group="SuperTrend") atrPeriodSecondary = input.int(9, 'Secondary ST ATR Period', group="SuperTrend") multiplierSecondary = input.float(2.0, 'Secondary ST Multiplier', group="SuperTrend") atrPeriodTertiary = input.int(12, 'Tertiary ST ATR Period', group="SuperTrend") multiplierTertiary = input.float(3.0, 'Tertiary ST Multiplier', group="SuperTrend") // MACD Group fastLength = input.int(24, 'MACD Fast Length', group="MACD") slowLength = input.int(52, 'MACD Slow Length', group="MACD") signalLength = input.int(9, 'MACD Signal Smoothing', group="MACD") // EMA Group tfEMA = input.timeframe("60", "EMA Timeframe (Global)", group="EMAs") ema1Len = input.int(9, 'EMA 1 Length', group="EMAs") ema2Len = input.int(21, 'EMA 2 Length', group="EMAs") ema3Len = input.int(27, 'EMA 3 Length', group="EMAs") ema4Len = input.int(50, 'EMA 4 Length', group="EMAs") ema5Len = input.int(100, 'EMA 5 Length', group="EMAs") ema6Len = input.int(150, 'EMA 6 Length', group="EMAs") ema7Len = input.int(200, 'EMA 7 Length', group="EMAs") // Visuals & ORB Group showVwap = input.bool(true, 'Show VWAP?', group="Visuals") showORB = input.bool(true, "Show ORB (Current Day Only)", group="ORB Settings") orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings") orbTargetMult1 = input.float(1.0, "Target 1 Mult", group="ORB Settings") //━━━━━━━━━━━━━━━━━━━ // CALCULATIONS //━━━━━━━━━━━━━━━━━━━ // 1. Custom SuperTrend Function f_supertrend(_atrLen, _mult) => atr_ = ta.atr(_atrLen) upperBasic = hl2 + _mult * atr_ lowerBasic = hl2 - _mult * atr_ var float upperFinal = na var float lowerFinal = na upperFinal := na(upperFinal ) ? upperBasic : (upperBasic < upperFinal or close > upperFinal ? upperBasic : upperFinal ) lowerFinal := na(lowerFinal ) ? lowerBasic : (lowerBasic > lowerFinal or close < lowerFinal ? lowerBasic : lowerFinal ) var int dir = 1 if not barstate.isfirst dir := dir if dir == 1 and close < lowerFinal dir := -1 else if dir == -1 and close > upperFinal dir := 1 super = dir == 1 ? lowerFinal : upperFinal = f_supertrend(atrPeriodPrimary, multiplierPrimary) = f_supertrend(atrPeriodSecondary, multiplierSecondary) = f_supertrend(atrPeriodTertiary, multiplierTertiary) // 2. MACD macdLine = ta.ema(close, fastLength) - ta.ema(close, slowLength) signal = ta.ema(macdLine, signalLength) // 3. MTF EMAs (7 Options) ema1 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema1Len), gaps = barmerge.gaps_on) ema2 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema2Len), gaps = barmerge.gaps_on) ema3 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema3Len), gaps = barmerge.gaps_on) ema4 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema4Len), gaps = barmerge.gaps_on) ema5 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema5Len), gaps = barmerge.gaps_on) ema6 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema6Len), gaps = barmerge.gaps_on) ema7 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema7Len), gaps = barmerge.gaps_on) // 4. ORB CALCULATION (Current Day Only) is_new_day = ta.change(time("D")) != 0 in_orb = not na(time(timeframe.period, orbTime)) is_today = (year(time) == year(timenow)) and (month(time) == month(timenow)) and (dayofmonth(time) == dayofmonth(timenow)) var float orbHigh = na var float orbLow = na if is_new_day orbHigh := na orbLow := na if in_orb and is_today orbHigh := na(orbHigh) ? high : math.max(high, orbHigh) orbLow := na(orbLow) ? low : math.min(low, orbLow) orbRange = orbHigh - orbLow t1_up = orbHigh + (orbRange * orbTargetMult1) t1_dn = orbLow - (orbRange * orbTargetMult1) //━━━━━━━━━━━━━━━━━━━ // PLOTTING //━━━━━━━━━━━━━━━━━━━ // VWAP plot(showVwap ? ta.vwap : na, title="VWAP", color=color.orange, linewidth=2) // Triple SuperTrends plot(stPrimary, title='Primary ST', color=dirPrimary == 1 ? color.green : color.red, linewidth=2) plot(stSecondary, title='Secondary ST', color=dirSecondary == 1 ? color.teal : color.maroon, linewidth=1) plot(stTertiary, title='Tertiary ST', color=dirTertiary == 1 ? color.lime : color.orange, linewidth=1) // 7 EMAs plot(ema1, title='EMA 1', color=color.new(color.white, 50)) plot(ema2, title='EMA 2', color=color.new(color.yellow, 60)) plot(ema3, title='EMA 3', color=color.new(color.orange, 70)) plot(ema4, title='EMA 4', color=color.new(color.blue, 70)) plot(ema5, title='EMA 5', color=color.new(color.purple, 70)) plot(ema6, title='EMA 6', color=color.new(color.fuchsia, 80)) plot(ema7, title='EMA 7', color=color.new(color.gray, 80)) // ORB Plots plot(showORB and is_today ? orbHigh : na, title="ORB High", color=color.aqua, linewidth=2, style=plot.style_linebr) plot(showORB and is_today ? orbLow : na, title="ORB Low", color=color.aqua, linewidth=2, style=plot.style_linebr) plot(showORB and is_today and not in_orb ? t1_up : na, title="Target 1 Up", color=color.new(color.lime, 40), style=plot.style_linebr) plot(showORB and is_today and not in_orb ? t1_dn : na, title="Target 1 Down", color=color.new(color.red, 40), style=plot.style_linebr) // MACD Shapes plotshape(ta.crossover(macdLine, signal), title="MACD Bull", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, text="MACD+") plotshape(ta.crossunder(macdLine, signal), title="MACD Bear", style=shape.triangledown, location=location.belowbar, color=color.red, size=size.small, text="MACD-") // Background (Based on Primary ST) bgcolor(dirPrimary == 1 ? color.new(color.green, 96) : color.new(color.red, 96))
Indikator Pine Script®
oleh sarashvi9
Relative Performance ComparisonThe Script was made to compare the performance of the YM and the NQ for a period of time that you can adjust with the lookback period. There is also the possibility to adjust the smoothing of the lines in the graph and you can enable or disable the several visuals. If you wish to compare something different then you could also enter the ticker of the assets that you want to compare. For YM and NQ the idea is that they have a high correlation and that if one of them is weaker than the other one, the stronger one could have more potential in that direction. Or if for example the weaker one is shifting in sctructure then the stronger one could also shift in structure but has the possibility of more gain as it held stronger through the weakness of the other one.
Indikator Pine Script®
oleh Cookykiller6