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Indicadores y estrategias

Triple ST + MACD + 7x MTF EMA + VWAP + ORB + Lux Pivots + AMA//@version=6 indicator('Triple ST + MACD + 7x MTF EMA + VWAP + ORB + Lux Pivots + AMA', overlay = true, max_labels_count = 500) //━━━━━━━━━━━━━━━━━━━ // INPUTS //━━━━━━━━━━━━━━━━━━━ // AMA Signals Group (Zeiierman Style) showAMA = input.bool(true, "Show AMA Signals", group="AMA Signals") amaLength = input.int(10, "AMA Length", group="AMA Signals") amaFast = input.int(2, "AMA Fast Period", group="AMA Signals") amaSlow = input.int(30, "AMA Slow Period", group="AMA Signals") // SuperTrend Group atrPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend") multiplierPrimary = input.float(4.0, 'Primary 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") // LuxAlgo Style Pivots (50 Lookback) showPivots = input.bool(true, "Show Pivot High/Low", group="LuxAlgo Pivots") pivotLen = input.int(50, "Pivot Lookback", group="LuxAlgo Pivots") showMissed = input.bool(true, "Show Missed Reversal Levels", group="LuxAlgo Pivots") // Previous OHLC Group showPrevOHLC = input.bool(true, "Show Previous Day OHLC?", group="Previous OHLC") // Visuals & ORB Group showVwap = input.bool(true, 'Show VWAP?', group="Visuals") showORB = input.bool(true, "Show ORB", group="ORB Settings") orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings") //━━━━━━━━━━━━━━━━━━━ // CALCULATIONS //━━━━━━━━━━━━━━━━━━━ // 1. AMA Calculation (Zeiierman Logic) fastAlpha = 2.0 / (amaFast + 1) slowAlpha = 2.0 / (amaSlow + 1) efficiencyRatio = math.sum(math.abs(close - close ), amaLength) != 0 ? math.abs(close - close ) / math.sum(math.abs(close - close ), amaLength) : 0 scaledAlpha = math.pow(efficiencyRatio * (fastAlpha - slowAlpha) + slowAlpha, 2) var float amaValue = na amaValue := na(amaValue ) ? close : amaValue + scaledAlpha * (close - amaValue ) // 2. Pivot Points & Missed Reversals (RECTIFIED: Bool Fix) ph = ta.pivothigh(high, pivotLen, pivotLen) pl = ta.pivotlow(low, pivotLen, pivotLen) var float lastMissedHigh = na var float lastMissedLow = na if not na(ph) lastMissedHigh := ph if not na(pl) lastMissedLow := pl // 3. Custom SuperTrend Function (RECTIFIED: Parenthesis Fix) 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 = f_supertrend(atrPeriodPrimary, multiplierPrimary) // 4. MACD & 7 MTF EMAs macdLine = ta.ema(close, fastLength) - ta.ema(close, slowLength) signal = ta.ema(macdLine, signalLength) 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) // 5. ORB Logic is_new_day = ta.change(time("D")) != 0 in_orb = not na(time(timeframe.period, orbTime)) var float orbHigh = na, var float orbLow = na if is_new_day orbHigh := na, orbLow := na if in_orb orbHigh := na(orbHigh) ? high : math.max(high, orbHigh) orbLow := na(orbLow) ? low : math.min(low, orbLow) //━━━━━━━━━━━━━━━━━━━ // PLOTTING //━━━━━━━━━━━━━━━━━━━ // AMA Plots plot(showAMA ? amaValue : na, "AMA Line", color=amaValue > amaValue ? color.lime : color.red, linewidth=2) plotshape(showAMA and ta.crossover(amaValue, amaValue ), "AMA BUY", shape.labelup, location.belowbar, color.lime, 0, "BUY", color.black, size=size.small) plotshape(showAMA and ta.crossunder(amaValue, amaValue ), "AMA SELL", shape.labeldown, location.abovebar, color.red, 0, "SELL", color.white, size=size.small) // Pivots plotshape(showPivots ? ph : na, "PH", shape.labeldown, location.abovebar, color.red, -pivotLen, "PH", color.white) plotshape(showPivots ? pl : na, "PL", shape.labelup, location.belowbar, color.green, -pivotLen, "PL", color.white) // Missed Reversal Lines var line hLine = na, var line lLine = na if showMissed and barstate.islast line.delete(hLine), line.delete(lLine) hLine := line.new(bar_index - pivotLen, lastMissedHigh, bar_index + 10, lastMissedHigh, color=color.new(color.red, 50), style=line.style_dashed) lLine := line.new(bar_index - pivotLen, lastMissedLow, bar_index + 10, lastMissedLow, color=color.new(color.green, 50), style=line.style_dashed) // Previous Day OHLC = request.security(syminfo.tickerid, "D", [high , low ], lookahead=barmerge.lookahead_on) plot(showPrevOHLC ? pdH : na, "PDH", color.gray, style=plot.style_stepline) plot(showPrevOHLC ? pdL : na, "PDL", color.gray, style=plot.style_stepline) // 7 EMAs & VWAP plot(ema1, "E1", color.new(color.white, 50)), plot(ema7, "E7", color.new(color.gray, 50)) plot(showVwap ? ta.vwap : na, "VWAP", color.orange, 2) plot(stPrimary, 'Primary ST', dirPrimary == 1 ? color.green : color.red, 2) // MACD (RECTIFIED: Named arguments) plotshape(ta.crossover(macdLine, signal), title="MACD+", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small) plotshape(ta.crossunder(macdLine, signal), title="MACD-", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small) // Global Trend Background bgcolor(dirPrimary == 1 ? color.new(color.green, 97) : color.new(color.red, 97))
Indicador Pine Script®
por sarashvi9
Lele-Trend Market AnalysisThis is a TradingView Pine Script indicator for analyzing futures trading trends. Here's what it does: Core Functionality: Analyzes market trends using multiple technical indicators on a customizable timeframe Displays trend strength classifications from "Neutral" to "Super Bullish/Bearish" Key Indicators Used: EMAs: 7, 21, 50, and 200-period exponential moving averages to identify trend direction RSI: Relative Strength Index (14-period default) for momentum ADX: Average Directional Index (14-period) to measure trend strength VWAP: Volume Weighted Average Price for intraday levels Parabolic SAR: For trend reversals and stop-loss placement Trend Classification Logic: Bullish: When 7 EMA > 21 EMA, price > VWAP, RSI > 50, ADX > 22 Bearish: When 7 EMA < 21 EMA, price < VWAP, RSI < 50, ADX > 22 Upgrades to "Very" or "Super" based on price position relative to 50 and 200 EMAs Visual Features: Plots all indicators on the chart with color-coded lines Shows percentage and price difference labels on each candle Dashboard table in the top-right displaying all indicator values and current trend status It's essentially a comprehensive trend-following system that combines multiple timeframe analysis with strength classification.
Indicador Pine Script®
por yasheshlele
KI Power signaleManus Machiene Learning Beast – Indicator Description Overview Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals. The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows. ⸻ Core Concept At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach. Instead of standard Euclidean distance, it applies Lorentzian distance, which: • Reduces the impact of outliers • Accounts for market distortions caused by volatility spikes and major events • Produces more robust predictions in real market conditions The model does not attempt to predict exact tops or bottoms. Instead, it estimates the probable price direction over the next 4 bars. ⸻ Signal Logic Long Signals A long signal is generated when: • The ML model predicts a positive directional bias • All enabled filters are satisfied • A new directional change is detected (non-repainting) • Optional trend filters (EMA / SMA) confirm the direction • Optional kernel regression confirms bullish momentum 📍 Displayed as a green label below the bar Short Signals A short signal is generated when: • The ML model predicts a negative directional bias • Filters confirm bearish conditions • A new directional change occurs • Trend and kernel filters align 📍 Displayed as a red label above the bar ⸻ Filters & Components All filters are modular and can be enabled or disabled individually. 1. Volatility Filter • Avoids trading during extremely low or chaotic volatility conditions 2. Regime Filter (Trend vs Range) • Attempts to filter out sideways markets • Especially important for ML-based systems 3. ADX Filter (Optional) • Trades only when sufficient trend strength is present 4. EMA / SMA Trend Filters • Classic trend confirmation (e.g., 200 EMA / 200 SMA) • Ensures trades are aligned with the higher-timeframe trend 5. Kernel Regression (Nadaraya-Watson) • Smooths price behavior • Acts as a momentum and trend confirmation filter • Can be used in standard or smoothed mode ⸻ Moving Average Overlays For visual market context, the indicator includes optional overlays: • ✅ SMA 200 • ✅ HMA 200 Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters. ⸻ Exit Logic Two exit methods are available: 1. Fixed Exit • Trades close after 4 bars • Matches the ML model’s training horizon 2. Dynamic Exit • Uses kernel regression and signal changes • Designed to let profits run in strong trends ⚠️ Recommended only when no additional trend filters are active. ⸻ Backtesting & Trade Statistics The indicator includes an on-chart statistics panel showing: • Win rate • Total trades • Win/Loss ratio • Early signal flips (useful for identifying choppy markets) ⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting. ⸻ Typical Use Cases • Swing trading (M15 – H4) • Rule-based discretionary trading • Set-and-forget trading • TradingView alerts → MT4/MT5 → EA execution • Prop-firm trading (e.g. FTMO), with proper risk management ⸻ Important Disclaimer This indicator: • ❌ does not guarantee profits • ❌ is not a “holy grail” • ✅ is a decision-support and structure tool It performs best when: • Combined with strict risk management (e.g. ATR-based stops) • Used in trending or expanding markets • Executed with discipline and consistency
Indicador Pine Script®
por feiler_manuel
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.
Indicador Pine Script®
por 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.
Indicador Pine Script®
por MonkeyPhone
1
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))
Indicador Pine Script®
por 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.
Indicador Pine Script®
por Cookykiller6
Quantum Trend Flow Pro (QTF+) - Ribbon & LabelsQuantum Trend Flow Pro (QTF+) – Ribbon Edition Author: Jonathan Mwendwa Ndunge Overview: Quantum Trend Flow Pro (QTF+) Ribbon is a professional-grade multi-timeframe trend indicator designed for day traders and swing traders who follow Smart Money Concepts (SMC) and price action strategies. The indicator visualizes market trend strength and probability of bullish or bearish continuation through a dynamic confidence ribbon, while leaving the main chart fully visible for price action analysis. Key Features: Multi-Timeframe Trend Alignment: Computes trend scores across HTF (4H), MTF (1H), and LTF (15M) using Donchian Channels (fast, mid, slow). Scores trends to provide a quantitative confidence metric. Confidence Ribbon (Subpane): Displays bullish (green) and bearish (red) probabilities as a dynamic ribbon histogram. Neutral line at 50 helps visually identify market balance. Ribbon is scaled in its own pane so candles remain fully visible, keeping chart clean and professional. Volatility Filter: Uses ATR to avoid low-volatility periods that produce choppy signals. Execution Potential: Can be combined with CHOCH, Order Block, and Liquidity Sweep scripts to identify high-confidence trade setups. Professional Display: Ribbon in a separate pane mimics hedge fund dashboard style, giving traders a quick visual of trend strength without cluttering the price chart. Usage Notes: Ideal for day trading and short-term swing trading. Use in conjunction with execution labels for entries. Adjust Donchian lengths and confidence threshold to match market behavior and risk tolerance. Can be applied to multiple instruments for scanning or dashboard setups. Goal: Provide a high-confidence, professional visualization of trend strength, combining smart money concepts and multi-timeframe analysis. Keep the chart clean, readable, and suitable for institutional-style decision-making.
Indicador Pine Script®
por jonathanmwendwa2021
Quantum Trend Flow (QTF) - Jonathan Mwendwa NdungeQuantum Trend Flow (QTF) Author: Jonathan Mwendwa Ndunge Description: Quantum Trend Flow (QTF) is a cutting-edge, institutional-grade trend analysis and execution indicator designed for day trading and short-term swing strategies. It leverages multi-timeframe trend analysis, probabilistic scoring, liquidity sweep detection, CHOCH (Change of Character), and Order Block confirmation to provide high-confidence trading opportunities. Key Features: Multi-Timeframe Trend Scoring: Tracks 3 Donchian channels across HTF (4H), MTF (1H), and LTF (15M) to compute a trend probability score. Scores the market bias dynamically for both bullish and bearish conditions. Probability Ribbon: Displays a gradient ribbon representing the likelihood of bullish vs bearish dominance (0–100%). Green = bullish probability, Red = bearish probability, Yellow = neutral. Smart Money Concept Validation: Integrates CHOCH to identify genuine shifts in market structure. Confirms entries using Order Blocks and Liquidity Sweeps, reflecting probable institutional activity. Execution Logic: Only triggers trades when probability exceeds the configurable threshold and all structural conditions align. Labels on the chart indicate high-confidence bullish or bearish opportunities. Dashboard Overview: Summarizes HTF, MTF, and LTF trend scores along with execution readiness for quick decision-making. Why QTF is Hedge-Fund Level: Combines probabilistic trend scoring with smart money concepts for precision entries. Fully non-repainting and deterministic for live and historical analysis. Filters noise and highlights high-probability zones where institutional orders are likely to occur. Multi-layered validation ensures trades are aligned with market structure, liquidity, and trend momentum. Use Case: Ideal for day traders and short-term swing traders who want a systematic, high-probability, institutional-style edge. Can be combined with risk-to-reward strategies (e.g., RR 1:2) and proper money management.
Indicador Pine Script®
por jonathanmwendwa2021
SMART TRADER Institutional Trend Engine ITESMART TRADER – Institutional Trend Engine (ITE) Author: Jonathan Mwendwa Ndunge Description: The SMART TRADER Institutional Trend Engine (ITE) is a hedge-fund-grade trading indicator designed to identify high-probability trend continuation and reversal opportunities using Smart Money Concepts. It combines multi-timeframe Donchian Channel trend analysis, Change of Character (CHOCH) detection, Order Block (OB) validation, and Liquidity Sweep detection to filter only the most reliable market conditions. Key Features: Multi-Timeframe Trend Alignment: HTF (2H) determines the overall market regime. MTF (1H) confirms alignment across three Donchian channel periods (fast, medium, slow) to ensure structural consistency. Refined CHOCH Logic: Detects genuine shifts in market structure using recent swing highs and lows. Bullish or bearish CHOCH is only confirmed when HTF and MTF trends align, reducing false signals. Order Block Confirmation: Validates institutional supply and demand zones before execution. Detects bullish and bearish order blocks using historical lows/highs in open prices. Liquidity Sweep Validation: Identifies liquidity sweeps beyond recent highs or lows, ensuring entry in areas where institutions likely trigger orders. Execution-Level Discipline: Signals only trigger when all conditions are met: trend alignment, CHOCH, order block, and liquidity sweep. Visual labels mark bullish and bearish execution zones directly on the chart. Dashboard Overview: Displays HTF regime, 1H alignment, and execution status for quick decision-making. Use Case: Ideal for day trading and short-term swing trading. Works best when combined with proper risk-to-reward management (e.g., 1:2 RR). Designed to reduce noise and enhance the probability of success by replicating institutional-style trade execution.
Indicador Pine Script®
por jonathanmwendwa2021
ATR + ADX Expansion This script plots in real time a shorter period ATR compared to a longer period ATR allowing one to see if the market has above or below average volatility. This helps avoid choppy sideways markets. Secondly, the table shows whether ADX is expanding above its signal line, or contracting below it's signal line further identifying a market in expansion or contraction. Any set up must be deployed in a healthy market environment, this indicator measures core statistics in real time to allow you see at a glance what state the market is in.
Indicador Pine Script®
por ChartSmartTrading
Triple VWAP (RTH Anchored + 1D/2D Rolling) w/ Z-ScoreRolling & Anchored VWAP Hybrid Description: This indicator is designed for intraday traders (Futures, Crypto, Equities) who need to quickly identify market regimes by comparing session-specific value against multi-day rolling value. Traditional VWAP indicators force you to choose between "Anchored" (RTH) or "Rolling" (24h). This script combines both into a single hybrid tool, allowing you to spot trend days, mean reversion opportunities, and "fair value" dislocations instantly. Key Features: 1. Hybrid VWAP Engine RTH Anchored VWAP (Orange): Anchors automatically at the session open (default 09:30 NY). This represents the "true" institutional fair value for the current active session, ignoring overnight noise. 1-Day Rolling VWAP (Blue): A continuous 24-hour rolling window. This represents the short-term memory of the market (overnight + RTH). 2-Day Rolling VWAP (Purple): A continuous 48-hour rolling window. This acts as a slower, higher-timeframe support/resistance level. 2. Market Regime Identification By observing the relationship between these three lines, you can instantly define the regime: Bull Trend: Price > RTH VWAP > 1D VWAP > 2D VWAP. Bear Trend: Price < RTH VWAP < 1D VWAP < 2D VWAP. Expansion: When RTH VWAP breaks away from the 1D/2D Rolling VWAPs. Compression/Chop: When all three lines are flat and entangled. 3. Integrated Z-Score Matrix (Table) A built-in heatmap table displays the real-time Z-Score (standard deviation distance) of the current price relative to the 1-Day and 2-Day Rolling VWAPs. How to use: High Z-Score (> 2.0): Price is statistically extended (expensive). Look for mean reversion or exhaustion. Low Z-Score (< -2.0): Price is statistically cheap. Look for bounces. Zero (0.0): Price is at equilibrium (Fair Value). Settings & Customization: Session Time: Fully customizable RTH session (default 09:30-16:00) and Timezone. Bands: Optional standard deviation bands for the RTH VWAP to visualize volatility. Alerts: Built-in alert conditions for Price crossing any VWAP and for VWAP crossovers (Golden/Death crosses of value).
Indicador Pine Script®
por volatility_Viking