Get started

Bill Williams Indicators

Trend River Pullback (Avramis-style) v1//@version=5 strategy("Trend River Pullback (Avramis-style) v1", overlay=true, initial_capital=10000, commission_type=strategy.commission.percent, commission_value=0.02, pyramiding=0, calc_on_order_fills=true, calc_on_every_tick=true, margin_long=1, margin_short=1) // ===== Inputs // EMA "река" emaFastLen = input.int(8, "EMA1 (быстрая)") ema2Len = input.int(13, "EMA2") emaMidLen = input.int(21, "EMA3 (средняя)") ema4Len = input.int(34, "EMA4") emaSlowLen = input.int(55, "EMA5 (медленная)") // Откат и импульс rsiLen = input.int(14, "RSI длина") rsiOB = input.int(60, "RSI порог тренда (лонг)") rsiOS = input.int(40, "RSI порог тренда (шорт)") pullbackPct = input.float(40.0, "Глубина отката в % ширины реки", minval=0, maxval=100) // Риск-менеджмент riskPct = input.float(1.0, "Риск на сделку, % от капитала", step=0.1, minval=0.1) atrLen = input.int(14, "ATR длина (стоп/трейлинг)") atrMultSL = input.float(2.0, "ATR множитель для стопа", step=0.1) tpRR = input.float(2.0, "Тейк-профит R-множитель", step=0.1) // Трейлинг-стоп useTrail = input.bool(true, "Включить трейлинг-стоп (Chandelier)") trailMult = input.float(3.0, "ATR множитель трейлинга", step=0.1) // Торговые часы (по времени биржи TradingView символа) useSession = input.bool(false, "Ограничить торговые часы") sessInput = input.session("0900-1800", "Сессия (локальная для биржи)") // ===== Calculations ema1 = ta.ema(close, emaFastLen) ema2 = ta.ema(close, ema2Len) ema3 = ta.ema(close, emaMidLen) ema4 = ta.ema(close, ema4Len) ema5 = ta.ema(close, emaSlowLen) // "Река": верх/низ как конверт по средним riverTop = math.max(math.max(ema1, ema2), math.max(ema3, math.max(ema4, ema5))) riverBot = math.min(math.min(ema1, ema2), math.min(ema3, math.min(ema4, ema5))) riverMid = (riverTop + riverBot) / 2.0 riverWidth = riverTop - riverBot // Трендовые условия: выстроенность EMAs bullAligned = ema1 > ema2 and ema2 > ema3 and ema3 > ema4 and ema4 > ema5 bearAligned = ema1 < ema2 and ema2 < ema3 and ema3 < ema4 and ema4 < ema5 // Импульс rsi = ta.rsi(close, rsiLen) // Откат внутрь "реки" pullbackLevelBull = riverTop - riverWidth * (pullbackPct/100.0) // чем больше %, тем глубже внутрь pullbackLevelBear = riverBot + riverWidth * (pullbackPct/100.0) pullbackOkBull = bullAligned and rsi >= rsiOB and low <= pullbackLevelBull pullbackOkBear = bearAligned and rsi <= rsiOS and high >= pullbackLevelBear // Триггер входа: возврат в импульс (пересечение быстрой EMA) longTrig = pullbackOkBull and ta.crossover(close, ema1) shortTrig = pullbackOkBear and ta.crossunder(close, ema1) // Сессия inSession = useSession ? time(timeframe.period, sessInput) : true // ATR для стопов atr = ta.atr(atrLen) // ===== Position sizing по риску // Расчет размера позиции: риск% от капитала / (стоп в деньгах) capital = strategy.equity riskMoney = capital * (riskPct/100.0) // Предварительные уровни стопов longSL = close - atrMultSL * atr shortSL = close + atrMultSL * atr // Цена тика и размер — приблизительно через syminfo.pointvalue (может отличаться на разных рынках) tickValue = syminfo.pointvalue // Избежать деления на 0 slDistLong = math.max(close - longSL, syminfo.mintick) slDistShort = math.max(shortSL - close, syminfo.mintick) // Кол-во контрактов/лотов qtyLong = riskMoney / (slDistLong * tickValue) qtyShort = riskMoney / (slDistShort * tickValue) // Ограничение: не меньше 0 qtyLong := math.max(qtyLong, 0) qtyShort := math.max(qtyShort, 0) // ===== Entries if inSession and longTrig and strategy.position_size <= 0 strategy.entry("Long", strategy.long, qty=qtyLong) if inSession and shortTrig and strategy.position_size >= 0 strategy.entry("Short", strategy.short, qty=qtyShort) // ===== Exits: фиксированный TP по R и стоп // Храним цену входа var float entryPrice = na if strategy.position_size != 0 and na(entryPrice) entryPrice := strategy.position_avg_price if strategy.position_size == 0 entryPrice := na // Цели longTP = na(entryPrice) ? na : entryPrice + tpRR * (entryPrice - longSL) shortTP = na(entryPrice) ? na : entryPrice - tpRR * (shortSL - entryPrice) // Трейлинг: Chandelier trailLong = close - trailMult * atr trailShort = close + trailMult * atr // Итоговые уровни выхода useTrailLong = useTrail and strategy.position_size > 0 useTrailShort = useTrail and strategy.position_size < 0 // Для лонга if strategy.position_size > 0 stopL = math.max(longSL, na) // базовый стоп tStop = useTrailLong ? trailLong : longSL // Выход по стопу/трейлу и ТП strategy.exit("L-Exit", from_entry="Long", stop=tStop, limit=longTP) // Для шорта if strategy.position_size < 0 stopS = math.min(shortSL, na) tStopS = useTrailShort ? trailShort : shortSL strategy.exit("S-Exit", from_entry="Short", stop=tStopS, limit=shortTP) // ===== Visuals plot(ema1, "EMA1", display=display.all, linewidth=1) plot(ema2, "EMA2", display=display.all, linewidth=1) plot(ema3, "EMA3", display=display.all, linewidth=2) plot(ema4, "EMA4", display=display.all, linewidth=1) plot(ema5, "EMA5", display=display.all, linewidth=1) plot(riverTop, "River Top", style=plot.style_linebr, linewidth=1) plot(riverBot, "River Bot", style=plot.style_linebr, linewidth=1) fill(plot1=plot(riverTop, display=display.none), plot2=plot(riverBot, display=display.none), title="River Fill", transp=80) plot(longTP, "Long TP", style=plot.style_linebr) plot(shortTP, "Short TP", style=plot.style_linebr) plot(useTrailLong ? trailLong : na, "Trail Long", style=plot.style_linebr) plot(useTrailShort ? trailShort : na, "Trail Short", style=plot.style_linebr) // Маркеры сигналов plotshape(longTrig, title="Long Trigger", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="L") plotshape(shortTrig, title="Short Trigger", style=shape.triangledown, location=location.abovebar, size=size.tiny, text="S") // ===== Alerts alertcondition(longTrig, title="Long Signal", message="Long signal: trend aligned + pullback + momentum") alertcondition(shortTrig, title="Short Signal", message="Short signal: trend aligned + pullback + momentum")
Pine Script® strategy
by akhmedovadurdona1
ST Fractals With Percentage DifferenceThis indicator identifies Williams Fractals on your price chart, helping traders spot potential reversal points and short-term highs and lows. This changes default value to 1 and adds percentage difference similar to ST Fractals option on MT5 How It Works: Up Fractals (▲): Plotted above a candle that is higher than its surrounding candles — a potential short-term top. Down Fractals (▼): Plotted below a candle that is lower than its surrounding candles — a potential short-term bottom. Fractals are only drawn if the price difference from the next candle exceeds a minimum percentage, to avoid signals caused by small fluctuations. The script ensures that both up and down fractals never appear on the same candle, keeping your chart clear. Settings: Periods (n): Determines how many candles before and after are considered to find a fractal. Default: 2. Min % Difference: Filters out insignificant fractals by requiring a minimum difference from the next candle. Default: 0.01%. Usage Tips: Can be used to identify support and resistance levels. Often combined with trend indicators or moving averages to confirm reversals. Works best in markets with clear trends or volatility, rather than very flat markets. Visuals: Green triangle ▲ → Up Fractal (potential top) Red triangle ▼ → Down Fractal (potential bottom)
Pine Script® indicator
by kmarin137
Student wyckoff rs symbol/moexRelative Strength Indicator Student wyckoff rs symbol/market v.2 Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Pine Script® indicator
by StudentWyckoff
Student wyckoff relative strength Indicator cryptoRelative Strength Indicator crypto Student wyckoff rs symbol USDT.D Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Pine Script® indicator
by StudentWyckoff
Pullback Confirma**📈 Pullback Strategy with Candle Confirmation** **🎯 Objective:** Identify ideal entry points during pullbacks in trends, using the simultaneous crossover of two moving averages with candle confirmation. **📊 Indicators Used:** - **Hull Moving Average (HMA):** Period 27 - fast and smoothed average that reduces lag - **Simple Moving Average (SMA):** Period 11 - short-term average for additional confirmation **⚡ Strategy Logic:** **🔹 Conditions for BUY SIGNAL:** 1. **Double Crossover:** Price crosses above both HMA 27 and SMA 11 simultaneously 2. **Pullback:** Price must be near or touching HMA 27 (return-to-average condition) 3. **Confirmation:** On the next candle, it must be a BULLISH candle closing above both averages **🔸 Conditions for SELL SIGNAL:** 1. **Double Crossover:** Price crosses below both HMA 27 and SMA 11 simultaneously 2. **Pullback:** Price must be near or touching HMA 27 3. **Confirmation:** On the next candle, it must be a BEARISH candle closing below both averages **🎨 Chart Visualization:** - **● Blue Circle:** Upward crossover detected (awaiting confirmation) - **● Orange Circle:** Downward crossover detected (awaiting confirmation) - **▲ Green Arrow:** Confirmed buy (after confirmation candle) - **▼ Red Arrow:** Confirmed sell (after confirmation candle) - **Colored Lines:** HMA (blue) and SMA (orange) plotted on the chart **⚙️ Customization:** - Adjustable average periods - Customizable arrow colors - Configurable alerts for each confirmed signal **✅ Advantages:** - **Double Filter:** Two different averages for confirmation - **Candle Confirmation:** Eliminates premature signals - **Intuitive Visual:** Only shows arrows after valid confirmation - **Controlled Pullback:** Operates only on return-to-average movements **⏰ Recommended Timeframe:** Works on multiple timeframes, but particularly effective on M15, H1, and H4 to capture more significant movements. This strategy is ideal for traders looking for precise entries in consolidated trends, minimizing false signals through candle confirmation! 🚀
Pine Script® indicator
by digorethka
rsi jokerعندنا رسم بياني (شارت) على منصة TradingView. واضح أنه شارت زمني قصير (ممكن M5 أو M15). مرسوم عليه مستويات HH (Higher High), LL (Lower Low), HL (Higher Low), LH (Lower High). الاتجاه الحالي: من الرسم نلاحظ أن السعر عمل HH (قمة جديدة أعلى) ثم بعدها هبط بقوة وسجل LL (قاع جديد أقل). بعد الـ LL، بدأ السعر يصعد لكن سجل LH (قمة أقل من السابقة)، مما يعني أن الاتجاه على المدى القريب يميل للهبوط (ترند هابط). الخطوط المرسومة: الخط الأحمر العلوي يمثل ترند هابط يربط القمم (مقاومة مائلة). الخطوط الخضراء في الأسفل تمثل قناة سعرية هابطة أو دعم مائل. الخط الأصفر يمثل خط اتجاه ثانوي/ضعيف داخل الترند. المناطق المهمة: المنطقة الحمراء بالأعلى: منطقة مقاومة قوية (إمداد/Supply Zone). المنطقة الخضراء بالأسفل: منطقة دعم (طلب/Demand Zone). الوضع الحالي للسعر: السعر ارتد من الدعم (LL) وطلع لمستوى الترند الأحمر. الآن يختبر المقاومة المائلة، ولو كسرها مع ثبات أعلى ممكن نشوف صعود للتجربة على المنطقة الحمراء. لكن لو فشل بالكسر (رفض عند الترند)، ممكن يرجع للهبوط ويعيد اختبار المنطقة الخضراء. 📌 السيناريوهات المتوقعة: صعود مشروط: إذا كسر الترند الأحمر + ثبات بشمعة واضحة → أهدافه المنطقة الحمراء (منطقة العرض). هبوط مرجح: إذا فشل بالكسر → يرجع يعيد اختبار القاع السابق (LL) أو يكمل ضمن القناة الهابطة. تحليل مختصر: الاتجاه العام قصير المدى هابط، وأي صعود حالياً يعتبر تصحيح ما لم يكسر الترند العلوي والمنطقة الحمراء بثبات. Alright ✅ Let’s break this chart down in English: General Structure: This is a chart from TradingView on a short timeframe (likely M5 or M15). It shows marked levels: HH (Higher High), LL (Lower Low), HL (Higher Low), LH (Lower High). Trend Analysis: Price created a Higher High (HH) but then dropped sharply to form a Lower Low (LL). After the LL, price bounced but only managed to form a Lower High (LH) → this indicates a downtrend (bearish structure). Drawn Lines: Red descending line: main downtrend resistance (connecting lower highs). Green lines below: channel support (downward sloping support zone). Yellow line: minor/secondary trendline inside the main structure. Key Zones: Red zone (top): strong supply/resistance area. Green zone (bottom): demand/support area. Current Price Action: Price bounced from the LL (support) and is now testing the red trendline (resistance). If price breaks above and holds, it could push toward the red supply zone. If price fails to break, it will likely drop back down, retesting the LL or sliding further inside the bearish channel. 📌 Scenarios: Bullish case: Break + hold above the red trendline → target = red supply zone. Bearish case (more likely): Rejection at the trendline → continuation downward to test LL or lower channel support. 🔎 Summary: The short-term structure is bearish. Any upside move is just a correction unless price breaks above the trendline and supply zone.
Pine Script® indicator
by mouhamedDz
Trade with Shyam - SimpleStrategy Overview This is a trend-following strategy that uses two Exponential Moving Averages (EMAs) to identify trading opportunities in the market. The strategy generates buy and sell signals based on the relationship between price and the EMA lines. How It Works Entry Signals ENTRY CALL (Green): Generated when the complete candle closes above the EMA 9 (candle low > EMA 9) ENTRY PUT (Red): Generated when the complete candle closes below the EMA 9 (candle high < EMA 9) Exit Signals EXIT CALL (Gray): Triggered when price closes below the EMA 21 (candle high < EMA 21) EXIT PUT (Gray): Triggered when price closes above the EMA 21 (candle low > EMA 21) Visual Components Red Line (Thickness 3): EMA 9 - Short-term trend indicator Green Line (Thickness 3): EMA 21 - Medium-term trend indicator Green Triangles: Buy entry signals Red Triangles: Sell entry signals Gray X Marks: Exit signals Background Coloring: Light green: Currently in a long position Light red: Currently in a short position Strategy Logic Buy Signal: When price shows strength by closing completely above the EMA 9 Sell Signal: When price shows weakness by closing completely below the EMA 9 Exit Long: When price weakness pulls back below EMA 21 Exit Short: When price strength pushes back above EMA 21 Key Features Trend Following: Captures momentum in the direction of the trend Dual EMA System: Uses faster EMA (9) for entries and slower EMA (21) for exits Complete Candle Confirmation: Only triggers signals after full candle confirmation Position Management: Maintains only one position at a time (no simultaneous long/short) Visual Clarity: Clear labels and color coding for easy interpretation Best Usage Conditions Trending Markets: Works best in markets with clear directional bias Moderate to High Volatility: Provides better signal quality in active markets Multiple Timeframes: Can be used on any timeframe (15min, 1H, 4H, Daily recommended) Risk Management Notes The strategy uses the EMA 21 as a dynamic stop-loss level Position sizing and additional risk management should be implemented separately Past performance does not guarantee future results Customization You can adjust the EMA periods in the indicator settings to suit your trading style: Shorter periods: More sensitive, more signals (higher frequency) Longer periods: Less sensitive, fewer but potentially higher quality signals
Pine Script® indicator
by hajareshyam
P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R//@version=6 indicator("P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R", overlay=true, max_lines_count=500, max_labels_count=500) // ====== General ===== side = input.string("Long", "Position Side", options= ) usd_dp = input.int(2, "USD decimals", minval=0, maxval=6) // ====== HUD Settings ====== hud_font = input.string("large", "HUD font size", options= ) hud_bg = input.color(color.new(color.black, 0), "HUD background color") hud_txtc = input.color(color.white, "HUD text color") hud_side = input.string("Right of price", "HUD side", options= ) hud_off_bars = input.int(3, "Horizontal offset (bars)", minval=0, maxval=50) hud_off_atr = input.float(0.2, "Vertical offset from price (ATR)", step=0.1) atr_len = input.int(14, "ATR length for vertical offset", minval=1) lock_to_last_bar = input.bool(true, "Lock HUD to the last bar") // Show HUD even when there are no entries (test text) force_show_hud = input.bool(true, "🔍 Show HUD even with no entries") // ====== Shared SL & Targets ====== stop_inp = input.float(0.0, "Stop Loss (shared, optional)", step=0.0001) use_tp1 = input.bool(false, "Enable Target 1") tp1 = input.float(0.0, "Target 1 price", step=0.0001) use_tp2 = input.bool(false, "Enable Target 2") tp2 = input.float(0.0, "Target 2 price", step=0.0001) use_tp3 = input.bool(false, "Enable Target 3") tp3 = input.float(0.0, "Target 3 price", step=0.0001) use_tp4 = input.bool(false, "Enable Target 4") tp4 = input.float(0.0, "Target 4 price", step=0.0001) use_tp5 = input.bool(false, "Enable Target 5") tp5 = input.float(0.0, "Target 5 price", step=0.0001) // ====== Four Independent Entries ====== group1 = "Entry 1" en1 = input.bool(true, "Enable Entry 1", inline=group1) lev1 = input.int(10, "Leverage", minval=1, maxval=200, inline=group1) entry1 = input.float(0.0, "Entry 1 price", step=0.0001) set_now1 = input.bool(false, "⚡ Set Entry1 = Current Price") mode1 = input.string("USD (USDT)", "Size unit 1", options= ) sem1 = input.string("Margin (apply leverage)", "Size meaning 1", options= ) size1 = input.float(0.0, "Position size 1", step=0.0001) baseLev1 = input.bool(false, "Apply leverage to 'Coin Quantity' (1)") group2 = "Entry 2" en2 = input.bool(false, "Enable Entry 2", inline=group2) lev2 = input.int(10, "Leverage", minval=1, maxval=200, inline=group2) entry2 = input.float(0.0, "Entry 2 price", step=0.0001) set_now2 = input.bool(false, "⚡ Set Entry2 = Current Price") mode2 = input.string("USD (USDT)", "Size unit 2", options= ) sem2 = input.string("Margin (apply leverage)", "Size meaning 2", options= ) size2 = input.float(0.0, "Position size 2", step=0.0001) baseLev2 = input.bool(false, "Apply leverage to 'Coin Quantity' (2)") group3 = "Entry 3" en3 = input.bool(false, "Enable Entry 3", inline=group3) lev3 = input.int(10, "Leverage", minval=1, maxval=200, inline=group3) entry3 = input.float(0.0, "Entry 3 price", step=0.0001) set_now3 = input.bool(false, "⚡ Set Entry3 = Current Price") mode3 = input.string("USD (USDT)", "Size unit 3", options= ) sem3 = input.string("Margin (apply leverage)", "Size meaning 3", options= ) size3 = input.float(0.0, "Position size 3", step=0.0001) baseLev3 = input.bool(false, "Apply leverage to 'Coin Quantity' (3)") group4 = "Entry 4" en4 = input.bool(false, "Enable Entry 4", inline=group4) lev4 = input.int(10, "Leverage", minval=1, maxval=200, inline=group4) entry4 = input.float(0.0, "Entry 4 price", step=0.0001) set_now4 = input.bool(false, "⚡ Set Entry4 = Current Price") mode4 = input.string("USD (USDT)", "Size unit 4", options= ) sem4 = input.string("Margin (apply leverage)", "Size meaning 4", options= ) size4 = input.float(0.0, "Position size 4", step=0.0001) baseLev4 = input.bool(false, "Apply leverage to 'Coin Quantity' (4)") // Quick set entries = current price entry1 := (en1 and set_now1) ? close : entry1 entry2 := (en2 and set_now2) ? close : entry2 entry3 := (en3 and set_now3) ? close : entry3 entry4 := (en4 and set_now4) ? close : entry4 // ====== Helpers ====== to_size(s) => s == "tiny" ? size.tiny : s == "small" ? size.small : s == "normal" ? size.normal : s == "large" ? size.large : size.huge f_usd_str(_val, _decimals) => na(_val) ? "—" : str.tostring(math.round(_val * math.pow(10, _decimals)) / math.pow(10, _decimals)) f_qty_base(mode, sem, size, entry, baseLev, lev) => float _qty = na if mode == "USD (USDT)" _qty := (size > 0 and entry > 0) ? ((sem == "Margin (apply leverage)" ? size * lev : size) / entry) : na else _qty := size > 0 ? (baseLev ? size * lev : size) : na _qty f_notional_quote(mode, sem, size, entry, lev, baseLev) => if mode == "USD (USDT)" sem == "Margin (apply leverage)" ? size * lev : size else (baseLev ? size * lev : size) * entry f_pnl_quote(side, entry, qty) => na(qty) or na(entry) ? na : (side=="Long" ? (close - entry) : (entry - close)) * qty f_pct(side, entry) => na(entry) ? na : ((close - entry) / entry * 100.0) * (side=="Long" ? 1 : -1) f_roi_pct(side, entry, lev) => na(entry) ? na : f_pct(side, entry) * lev // NOTE: _lineIn must be a line, not a float f_stickyHLine(_price, _lineIn, _color, _width) => var line _out = na _out := _lineIn if na(_out) _out := line.new(bar_index-1, _price, bar_index+1, _price, xloc=xloc.bar_index, extend=extend.both, width=_width, style=line.style_dashed, color=_color) else line.set_xy1(_out, bar_index-1, _price) line.set_xy2(_out, bar_index+1, _price) line.set_color(_out, _color) line.set_width(_out, _width) _out // ====== 4 Entries Calculations ====== var color entryCols = array.from(color.new(color.yellow, 0), color.new(color.orange, 0), color.new(color.teal, 0), color.new(color.fuchsia, 0)) bool ens = array.from(en1, en2, en3, en4) float entries = array.from(entry1, entry2, entry3, entry4) int levs = array.from(lev1, lev2, lev3, lev4) string modes = array.from(mode1, mode2, mode3, mode4) string sems = array.from(sem1, sem2, sem3, sem4) float sizes = array.from(size1, size2, size3, size4) bool baseLevs = array.from(baseLev1, baseLev2, baseLev3, baseLev4) float qtys = array.new_float(4, na) float pnls = array.new_float(4, na) float pcts = array.new_float(4, na) float rois = array.new_float(4, na) float notionals = array.new_float(4, na) for i = 0 to 3 if array.get(ens, i) and array.get(entries, i) > 0 ent = array.get(entries, i) levX = array.get(levs, i) modeX= array.get(modes, i) semX = array.get(sems, i) sizeX= array.get(sizes, i) bLev = array.get(baseLevs, i) qty = f_qty_base(modeX, semX, sizeX, ent, bLev, levX) array.set(qtys, i, qty) pnlq = f_pnl_quote(side, ent, qty) array.set(pnls, i, pnlq) pct = f_pct(side, ent) array.set(pcts, i, pct) roi = f_roi_pct(side, ent, levX) array.set(rois, i, roi) notq = f_notional_quote(modeX, semX, sizeX, ent, levX, bLev) array.set(notionals, i, notq) // ====== Totals & Weighted Avg Entry ====== float totalPnlUSD = 0.0 float totalNotional = 0.0 float totalQty = 0.0 float wAvgEntry = na for i = 0 to 3 if not na(array.get(pnls, i)) totalPnlUSD += array.get(pnls, i) if not na(array.get(notionals, i)) totalNotional += array.get(notionals, i) if not na(array.get(qtys, i)) and array.get(entries, i) > 0 totalQty += array.get(qtys, i) if totalQty > 0 num = 0.0 for i = 0 to 3 qi = array.get(qtys, i) ei = array.get(entries, i) if not na(qi) and ei > 0 num += qi * ei wAvgEntry := num / totalQty totalROIweighted = totalNotional > 0 ? (totalPnlUSD / totalNotional) * 100.0 : na // ====== Nearest TP & R:R ====== float nearestTP = na float nearestDistPrice = na float nearestDistPct = na float risk_pct = na float reward_pct = na float rr = na var float tps = array.new_float() array.clear(tps) if use_tp1 and tp1 > 0 array.push(tps, tp1) if use_tp2 and tp2 > 0 array.push(tps, tp2) if use_tp3 and tp3 > 0 array.push(tps, tp3) if use_tp4 and tp4 > 0 array.push(tps, tp4) if use_tp5 and tp5 > 0 array.push(tps, tp5) // nearest target in the trade direction (from current price) if array.size(tps) > 0 for i = 0 to array.size(tps) - 1 _tp = array.get(tps, i) cond = side=="Long" ? (_tp > close) : (_tp < close) if cond distP = math.abs(_tp - close) if na(nearestDistPrice) or distP < nearestDistPrice nearestDistPrice := distP nearestTP := _tp if not na(nearestDistPrice) and close != 0 nearestDistPct := (nearestDistPrice / close) * 100.0 float stop = stop_inp > 0 ? stop_inp : na if not na(wAvgEntry) and not na(stop) rawRisk = (side=="Long" ? (stop - wAvgEntry) : (wAvgEntry - stop)) / wAvgEntry * 100.0 risk_pct := math.abs(rawRisk) if not na(wAvgEntry) and not na(nearestTP) reward_pct := math.abs((side=="Long" ? (nearestTP - wAvgEntry) : (wAvgEntry - nearestTP)) / wAvgEntry * 100.0) rr := (not na(risk_pct) and not na(reward_pct) and risk_pct != 0) ? reward_pct / risk_pct : na // ====== Average R:R across all valid targets ====== float rr_avg = na if not na(wAvgEntry) and not na(stop) and array.size(tps) > 0 and not na(risk_pct) and risk_pct != 0 float sum_rr = 0.0 int cnt_rr = 0 for i = 0 to array.size(tps) - 1 _tp = array.get(tps, i) bool validDir = side=="Long" ? (_tp > wAvgEntry) : (_tp < wAvgEntry) if validDir _reward = math.abs((side=="Long" ? (_tp - wAvgEntry) : (wAvgEntry - _tp)) / wAvgEntry * 100.0) _rr = _reward / risk_pct sum_rr += _rr cnt_rr += 1 rr_avg := cnt_rr > 0 ? (sum_rr / cnt_rr) : na // ====== Entry/SL/TP Lines ====== var line entryLines = array.new_line(4, na) for i = 0 to 3 ln = array.get(entryLines, i) if array.get(ens, i) and array.get(entries, i) > 0 col = array.get(entryCols, i) ent = array.get(entries, i) ln := f_stickyHLine(ent, ln, col, 2) array.set(entryLines, i, ln) else if not na(ln) line.delete(ln) array.set(entryLines, i, na) var line slLine = na if not na(stop) slLine := f_stickyHLine(stop, slLine, color.new(color.red, 0), 1) else if not na(slLine) line.delete(slLine) slLine := na var line tpLine1 = na var line tpLine2 = na var line tpLine3 = na var line tpLine4 = na var line tpLine5 = na if use_tp1 and tp1 > 0 tpLine1 := f_stickyHLine(tp1, tpLine1, color.new(color.teal, 0), 1) else if not na(tpLine1) line.delete(tpLine1) tpLine1 := na if use_tp2 and tp2 > 0 tpLine2 := f_stickyHLine(tp2, tpLine2, color.new(color.teal, 0), 1) else if not na(tpLine2) line.delete(tpLine2) tpLine2 := na if use_tp3 and tp3 > 0 tpLine3 := f_stickyHLine(tp3, tpLine3, color.new(color.teal, 0), 1) else if not na(tpLine3) line.delete(tpLine3) tpLine3 := na if use_tp4 and tp4 > 0 tpLine4 := f_stickyHLine(tp4, tpLine4, color.new(color.teal, 0), 1) else if not na(tpLine4) line.delete(tpLine4) tpLine4 := na if use_tp5 and tp5 > 0 tpLine5 := f_stickyHLine(tp5, tpLine5, color.new(color.teal, 0), 1) else if not na(tpLine5) line.delete(tpLine5) tpLine5 := na // ====== Build HUD Text ====== string txt = "" // Per-entry rows for i = 0 to 3 if array.get(ens, i) and array.get(entries, i) > 0 idx = i + 1 ent = array.get(entries, i) pct = array.get(pcts, i) pnlq = array.get(pnls, i) roi = array.get(rois, i) levX = array.get(levs, i) txt += (txt=="" ? "" : " ") + "📌 Entry " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick) txt += " 📊 Live: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp)) txt += " 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%") // Summary or test HUD if txt != "" if totalQty > 0 txt += " — — —" txt += " ⚖️ Weighted Avg Entry: " + str.tostring(wAvgEntry, format.mintick) if not na(stop) txt += " ❌ SL: " + str.tostring(stop, format.mintick) // Nearest target (from current price) string tpInfo = "—" if not na(nearestTP) tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)") txt += " 🎯 Nearest: " + tpInfo // R:R (nearest) if not na(rr) txt += " 📐 R:R (nearest): " + str.tostring(rr, format.mintick) // Avg R:R across all valid TPs (by direction from weighted entry) if not na(rr_avg) txt += " 📐 Avg R:R (all valid TPs): " + str.tostring(rr_avg, format.mintick) // Totals txt += " 🧾 Total P/L: " + "$" + f_usd_str(totalPnlUSD, usd_dp) txt += " 🧮 Weighted ROI (by Notional): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%") else if force_show_hud txt := "🧪 HUD is active. Fill Entry prices or tick ⚡. Enable TP/SL to see lines." // ====== HUD Placement (near live price) ====== var label hud = na atr_val = nz(ta.atr(atr_len), 0.0) anchor_price = close y_pos = na(anchor_price) ? na : anchor_price + (atr_val * hud_off_atr) x_pos_base = bar_index off = hud_side == "Right of price" ? hud_off_bars : -hud_off_bars x_pos = lock_to_last_bar ? (barstate.islast ? (x_pos_base + off) : x_pos_base) : (x_pos_base + off) // Pick label style by side: // - Right of price → pointer on LEFT edge → style_label_left // - Left of price → pointer on RIGHT edge → style_label_right label_style = hud_side == "Right of price" ? label.style_label_left : label.style_label_right if not na(y_pos) and txt != "" if na(hud) hud := label.new(x_pos, y_pos, txt, xloc=xloc.bar_index, style=label_style, textcolor=hud_txtc, color=hud_bg, size=to_size(hud_font)) else label.set_x(hud, x_pos) label.set_y(hud, y_pos) label.set_text(hud, txt) label.set_textcolor(hud, hud_txtc) label.set_color(hud, hud_bg) label.set_style(hud, label_style) label.set_size(hud, to_size(hud_font)) else if not na(hud) label.delete(hud) hud := na
Pine Script® indicator
by hsuyvm
P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R//@version=6 indicator("P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R", overlay=true, max_lines_count=500, max_labels_count=500) // ====== General ====== side = input.string("Long", "Position Side", options= ) usd_dp = input.int(2, "USD decimals", minval=0, maxval=6) // ====== HUD Settings ====== hud_font = input.string("large", "HUD font size", options= ) hud_bg = input.color(color.new(color.black, 0), "HUD background color") hud_txtc = input.color(color.white, "HUD text color") hud_side = input.string("Right of price", "HUD side", options= ) hud_off_bars = input.int(3, "Horizontal offset (bars)", minval=0, maxval=50) hud_off_atr = input.float(0.2, "Vertical offset from price (ATR)", step=0.1) atr_len = input.int(14, "ATR length for vertical offset", minval=1) lock_to_last_bar = input.bool(true, "Lock HUD to the last bar") // Show HUD even when there are no entries (test text) force_show_hud = input.bool(true, "🔍 Show HUD even with no entries") // ====== Shared SL & Targets ====== stop_inp = input.float(0.0, "Stop Loss (shared, optional)", step=0.0001) use_tp1 = input.bool(false, "Enable Target 1") tp1 = input.float(0.0, "Target 1 price", step=0.0001) use_tp2 = input.bool(false, "Enable Target 2") tp2 = input.float(0.0, "Target 2 price", step=0.0001) use_tp3 = input.bool(false, "Enable Target 3") tp3 = input.float(0.0, "Target 3 price", step=0.0001) use_tp4 = input.bool(false, "Enable Target 4") tp4 = input.float(0.0, "Target 4 price", step=0.0001) use_tp5 = input.bool(false, "Enable Target 5") tp5 = input.float(0.0, "Target 5 price", step=0.0001) // ====== Four Independent Entries ====== group1 = "Entry 1" en1 = input.bool(true, "Enable Entry 1", inline=group1) lev1 = input.int(10, "Leverage", minval=1, maxval=200, inline=group1) entry1 = input.float(0.0, "Entry 1 price", step=0.0001) set_now1 = input.bool(false, "⚡ Set Entry1 = Current Price") mode1 = input.string("USD (USDT)", "Size unit 1", options= ) sem1 = input.string("Margin (apply leverage)", "Size meaning 1", options= ) size1 = input.float(0.0, "Position size 1", step=0.0001) baseLev1 = input.bool(false, "Apply leverage to 'Coin Quantity' (1)") group2 = "Entry 2" en2 = input.bool(false, "Enable Entry 2", inline=group2) lev2 = input.int(10, "Leverage", minval=1, maxval=200, inline=group2) entry2 = input.float(0.0, "Entry 2 price", step=0.0001) set_now2 = input.bool(false, "⚡ Set Entry2 = Current Price") mode2 = input.string("USD (USDT)", "Size unit 2", options= ) sem2 = input.string("Margin (apply leverage)", "Size meaning 2", options= ) size2 = input.float(0.0, "Position size 2", step=0.0001) baseLev2 = input.bool(false, "Apply leverage to 'Coin Quantity' (2)") group3 = "Entry 3" en3 = input.bool(false, "Enable Entry 3", inline=group3) lev3 = input.int(10, "Leverage", minval=1, maxval=200, inline=group3) entry3 = input.float(0.0, "Entry 3 price", step=0.0001) set_now3 = input.bool(false, "⚡ Set Entry3 = Current Price") mode3 = input.string("USD (USDT)", "Size unit 3", options= ) sem3 = input.string("Margin (apply leverage)", "Size meaning 3", options= ) size3 = input.float(0.0, "Position size 3", step=0.0001) baseLev3 = input.bool(false, "Apply leverage to 'Coin Quantity' (3)") group4 = "Entry 4" en4 = input.bool(false, "Enable Entry 4", inline=group4) lev4 = input.int(10, "Leverage", minval=1, maxval=200, inline=group4) entry4 = input.float(0.0, "Entry 4 price", step=0.0001) set_now4 = input.bool(false, "⚡ Set Entry4 = Current Price") mode4 = input.string("USD (USDT)", "Size unit 4", options= ) sem4 = input.string("Margin (apply leverage)", "Size meaning 4", options= ) size4 = input.float(0.0, "Position size 4", step=0.0001) baseLev4 = input.bool(false, "Apply leverage to 'Coin Quantity' (4)") // Quick set entries = current price entry1 := (en1 and set_now1) ? close : entry1 entry2 := (en2 and set_now2) ? close : entry2 entry3 := (en3 and set_now3) ? close : entry3 entry4 := (en4 and set_now4) ? close : entry4 // ====== Helpers ====== to_size(s) => s == "tiny" ? size.tiny : s == "small" ? size.small : s == "normal" ? size.normal : s == "large" ? size.large : size.huge f_usd_str(_val, _decimals) => na(_val) ? "—" : str.tostring(math.round(_val * math.pow(10, _decimals)) / math.pow(10, _decimals)) f_qty_base(mode, sem, size, entry, baseLev, lev) => float _qty = na if mode == "USD (USDT)" _qty := (size > 0 and entry > 0) ? ((sem == "Margin (apply leverage)" ? size * lev : size) / entry) : na else _qty := size > 0 ? (baseLev ? size * lev : size) : na _qty f_notional_quote(mode, sem, size, entry, lev, baseLev) => if mode == "USD (USDT)" sem == "Margin (apply leverage)" ? size * lev : size else (baseLev ? size * lev : size) * entry f_pnl_quote(side, entry, qty) => na(qty) or na(entry) ? na : (side=="Long" ? (close - entry) : (entry - close)) * qty f_pct(side, entry) => na(entry) ? na : ((close - entry) / entry * 100.0) * (side=="Long" ? 1 : -1) f_roi_pct(side, entry, lev) => na(entry) ? na : f_pct(side, entry) * lev // NOTE: _lineIn must be a line, not a float f_stickyHLine(_price, _lineIn, _color, _width) => var line _out = na _out := _lineIn if na(_out) _out := line.new(bar_index-1, _price, bar_index+1, _price, xloc=xloc.bar_index, extend=extend.both, width=_width, style=line.style_dashed, color=_color) else line.set_xy1(_out, bar_index-1, _price) line.set_xy2(_out, bar_index+1, _price) line.set_color(_out, _color) line.set_width(_out, _width) _out // ====== 4 Entries Calculations ====== var color entryCols = array.from(color.new(color.yellow, 0), color.new(color.orange, 0), color.new(color.teal, 0), color.new(color.fuchsia, 0)) bool ens = array.from(en1, en2, en3, en4) float entries = array.from(entry1, entry2, entry3, entry4) int levs = array.from(lev1, lev2, lev3, lev4) string modes = array.from(mode1, mode2, mode3, mode4) string sems = array.from(sem1, sem2, sem3, sem4) float sizes = array.from(size1, size2, size3, size4) bool baseLevs = array.from(baseLev1, baseLev2, baseLev3, baseLev4) float qtys = array.new_float(4, na) float pnls = array.new_float(4, na) float pcts = array.new_float(4, na) float rois = array.new_float(4, na) float notionals = array.new_float(4, na) for i = 0 to 3 if array.get(ens, i) and array.get(entries, i) > 0 ent = array.get(entries, i) levX = array.get(levs, i) modeX= array.get(modes, i) semX = array.get(sems, i) sizeX= array.get(sizes, i) bLev = array.get(baseLevs, i) qty = f_qty_base(modeX, semX, sizeX, ent, bLev, levX) array.set(qtys, i, qty) pnlq = f_pnl_quote(side, ent, qty) array.set(pnls, i, pnlq) pct = f_pct(side, ent) array.set(pcts, i, pct) roi = f_roi_pct(side, ent, levX) array.set(rois, i, roi) notq = f_notional_quote(modeX, semX, sizeX, ent, levX, bLev) array.set(notionals, i, notq) // ====== Totals & Weighted Avg Entry ====== float totalPnlUSD = 0.0 float totalNotional = 0.0 float totalQty = 0.0 float wAvgEntry = na for i = 0 to 3 if not na(array.get(pnls, i)) totalPnlUSD += array.get(pnls, i) if not na(array.get(notionals, i)) totalNotional += array.get(notionals, i) if not na(array.get(qtys, i)) and array.get(entries, i) > 0 totalQty += array.get(qtys, i) if totalQty > 0 num = 0.0 for i = 0 to 3 qi = array.get(qtys, i) ei = array.get(entries, i) if not na(qi) and ei > 0 num += qi * ei wAvgEntry := num / totalQty totalROIweighted = totalNotional > 0 ? (totalPnlUSD / totalNotional) * 100.0 : na // ====== Nearest TP & R:R ====== float nearestTP = na float nearestDistPrice = na float nearestDistPct = na float risk_pct = na float reward_pct = na float rr = na var float tps = array.new_float() array.clear(tps) if use_tp1 and tp1 > 0 array.push(tps, tp1) if use_tp2 and tp2 > 0 array.push(tps, tp2) if use_tp3 and tp3 > 0 array.push(tps, tp3) if use_tp4 and tp4 > 0 array.push(tps, tp4) if use_tp5 and tp5 > 0 array.push(tps, tp5) // nearest target in the trade direction (from current price) if array.size(tps) > 0 for i = 0 to array.size(tps) - 1 _tp = array.get(tps, i) cond = side=="Long" ? (_tp > close) : (_tp < close) if cond distP = math.abs(_tp - close) if na(nearestDistPrice) or distP < nearestDistPrice nearestDistPrice := distP nearestTP := _tp if not na(nearestDistPrice) and close != 0 nearestDistPct := (nearestDistPrice / close) * 100.0 float stop = stop_inp > 0 ? stop_inp : na if not na(wAvgEntry) and not na(stop) rawRisk = (side=="Long" ? (stop - wAvgEntry) : (wAvgEntry - stop)) / wAvgEntry * 100.0 risk_pct := math.abs(rawRisk) if not na(wAvgEntry) and not na(nearestTP) reward_pct := math.abs((side=="Long" ? (nearestTP - wAvgEntry) : (wAvgEntry - nearestTP)) / wAvgEntry * 100.0) rr := (not na(risk_pct) and not na(reward_pct) and risk_pct != 0) ? reward_pct / risk_pct : na // ====== Average R:R across all valid targets ====== float rr_avg = na if not na(wAvgEntry) and not na(stop) and array.size(tps) > 0 and not na(risk_pct) and risk_pct != 0 float sum_rr = 0.0 int cnt_rr = 0 for i = 0 to array.size(tps) - 1 _tp = array.get(tps, i) bool validDir = side=="Long" ? (_tp > wAvgEntry) : (_tp < wAvgEntry) if validDir _reward = math.abs((side=="Long" ? (_tp - wAvgEntry) : (wAvgEntry - _tp)) / wAvgEntry * 100.0) _rr = _reward / risk_pct sum_rr += _rr cnt_rr += 1 rr_avg := cnt_rr > 0 ? (sum_rr / cnt_rr) : na // ====== Entry/SL/TP Lines ====== var line entryLines = array.new_line(4, na) for i = 0 to 3 ln = array.get(entryLines, i) if array.get(ens, i) and array.get(entries, i) > 0 col = array.get(entryCols, i) ent = array.get(entries, i) ln := f_stickyHLine(ent, ln, col, 2) array.set(entryLines, i, ln) else if not na(ln) line.delete(ln) array.set(entryLines, i, na) var line slLine = na if not na(stop) slLine := f_stickyHLine(stop, slLine, color.new(color.red, 0), 1) else if not na(slLine) line.delete(slLine) slLine := na var line tpLine1 = na var line tpLine2 = na var line tpLine3 = na var line tpLine4 = na var line tpLine5 = na if use_tp1 and tp1 > 0 tpLine1 := f_stickyHLine(tp1, tpLine1, color.new(color.teal, 0), 1) else if not na(tpLine1) line.delete(tpLine1) tpLine1 := na if use_tp2 and tp2 > 0 tpLine2 := f_stickyHLine(tp2, tpLine2, color.new(color.teal, 0), 1) else if not na(tpLine2) line.delete(tpLine2) tpLine2 := na if use_tp3 and tp3 > 0 tpLine3 := f_stickyHLine(tp3, tpLine3, color.new(color.teal, 0), 1) else if not na(tpLine3) line.delete(tpLine3) tpLine3 := na if use_tp4 and tp4 > 0 tpLine4 := f_stickyHLine(tp4, tpLine4, color.new(color.teal, 0), 1) else if not na(tpLine4) line.delete(tpLine4) tpLine4 := na if use_tp5 and tp5 > 0 tpLine5 := f_stickyHLine(tp5, tpLine5, color.new(color.teal, 0), 1) else if not na(tpLine5) line.delete(tpLine5) tpLine5 := na // ====== Build HUD Text ====== string txt = "" // Per-entry rows for i = 0 to 3 if array.get(ens, i) and array.get(entries, i) > 0 idx = i + 1 ent = array.get(entries, i) pct = array.get(pcts, i) pnlq = array.get(pnls, i) roi = array.get(rois, i) levX = array.get(levs, i) txt += (txt=="" ? "" : " ") + "📌 Entry " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick) txt += " 📊 Live: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp)) txt += " 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%") // Summary or test HUD if txt != "" if totalQty > 0 txt += " — — —" txt += " ⚖️ Weighted Avg Entry: " + str.tostring(wAvgEntry, format.mintick) if not na(stop) txt += " ❌ SL: " + str.tostring(stop, format.mintick) // Nearest target (from current price) string tpInfo = "—" if not na(nearestTP) tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)") txt += " 🎯 Nearest: " + tpInfo // R:R (nearest) if not na(rr) txt += " 📐 R:R (nearest): " + str.tostring(rr, format.mintick) // Avg R:R across all valid TPs (by direction from weighted entry) if not na(rr_avg) txt += " 📐 Avg R:R (all valid TPs): " + str.tostring(rr_avg, format.mintick) // Totals txt += " 🧾 Total P/L: " + "$" + f_usd_str(totalPnlUSD, usd_dp) txt += " 🧮 Weighted ROI (by Notional): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%") else if force_show_hud txt := "🧪 HUD is active. Fill Entry prices or tick ⚡. Enable TP/SL to see lines." // ====== HUD Placement (near live price) ====== var label hud = na atr_val = nz(ta.atr(atr_len), 0.0) anchor_price = close y_pos = na(anchor_price) ? na : anchor_price + (atr_val * hud_off_atr) x_pos_base = bar_index off = hud_side == "Right of price" ? hud_off_bars : -hud_off_bars x_pos = lock_to_last_bar ? (barstate.islast ? (x_pos_base + off) : x_pos_base) : (x_pos_base + off) // Pick label style by side: // - Right of price → pointer on LEFT edge → style_label_left // - Left of price → pointer on RIGHT edge → style_label_right label_style = hud_side == "Right of price" ? label.style_label_left : label.style_label_right if not na(y_pos) and txt != "" if na(hud) hud := label.new(x_pos, y_pos, txt, xloc=xloc.bar_index, style=label_style, textcolor=hud_txtc, color=hud_bg, size=to_size(hud_font)) else label.set_x(hud, x_pos) label.set_y(hud, y_pos) label.set_text(hud, txt) label.set_textcolor(hud, hud_txtc) label.set_color(hud, hud_bg) label.set_style(hud, label_style) label.set_size(hud, to_size(hud_font)) else if not na(hud) label.delete(hud) hud := na
Pine Script® indicator
by hsuyvm
🚀⚠️ Aggressive + Confirmed Long Strategy (v2)//@version=5 strategy("🚀⚠️ Aggressive + Confirmed Long Strategy (v2)", overlay=true, pyramiding=0, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10, // % of equity per trade commission_type=strategy.commission.percent, commission_value=0.05) // ========= Inputs ========= lenRSI = input.int(14, "RSI Length") lenSMA1 = input.int(20, "SMA 20") lenSMA2 = input.int(50, "SMA 50") lenBB = input.int(20, "Bollinger Length") multBB = input.float(2, "Bollinger Multiplier", step=0.1) volLen = input.int(20, "Volume MA Length") smaBuffP = input.float(1.0, "Margin above SMA50 (%)", step=0.1) confirmOnClose = input.bool(true, "Confirm signals only after candle close") useEarly = input.bool(true, "Allow Early entries") // Risk atrLen = input.int(14, "ATR Length", minval=1) slATR = input.float(2.0, "Stop = ATR *", step=0.1) tpRR = input.float(2.0, "Take-Profit RR (TP = SL * RR)", step=0.1) useTrail = input.bool(false, "Use Trailing Stop instead of fixed SL/TP") trailATR = input.float(2.5, "Trailing Stop = ATR *", step=0.1) moveToBE = input.bool(true, "Move SL to breakeven at 1R TP") // ========= Indicators ========= // MAs sma20 = ta.sma(close, lenSMA1) sma50 = ta.sma(close, lenSMA2) // RSI rsi = ta.rsi(close, lenRSI) rsiEarly = rsi > 45 and rsi < 55 rsiStrong = rsi > 55 // MACD = ta.macd(close, 12, 26, 9) macdCross = ta.crossover(macdLine, signalLine) macdEarly = macdCross and macdLine < 0 macdStrong = macdCross and macdLine > 0 // Bollinger = ta.bb(close, lenBB, multBB) bollBreakout = close > bbUpper // Candle & Volume bullishCandle = close > open volCondition = volume > ta.sma(volume, volLen) // Price vs MAs smaCondition = close > sma20 and close > sma50 and close > sma50 * (1 + smaBuffP/100.0) // Confirm-on-close helper useSignal(cond) => confirmOnClose ? (cond and barstate.isconfirmed) : cond // Entries confirmedEntry = useSignal(rsiStrong and macdStrong and bollBreakout and bullishCandle and volCondition and smaCondition) earlyEntry = useSignal(rsiEarly and macdEarly and close > sma20 and bullishCandle) and not confirmedEntry longSignal = confirmedEntry or (useEarly and earlyEntry) // ========= Risk Mgmt ========= atr = ta.atr(atrLen) slPrice = close - atr * slATR tpPrice = close + (close - slPrice) * tpRR trailPts = atr * trailATR // ========= Orders ========= if strategy.position_size == 0 and longSignal strategy.entry("Long", strategy.long) if strategy.position_size > 0 if useTrail // Trailing Stop strategy.exit("Exit", "Long", trail_points=trailPts, trail_offset=trailPts) else // Normal SL/TP strategy.exit("Exit", "Long", stop=slPrice, limit=tpPrice) // Move SL to breakeven when TP1 hit if moveToBE and high >= tpPrice strategy.exit("BE", "Long", stop=strategy.position_avg_price) // ========= Plots ========= plot(sma20, title="SMA 20", color=color.orange, linewidth=2) plot(sma50, title="SMA 50", color=color.new(color.blue, 0), linewidth=2) plot(bbUpper, title="BB Upper", color=color.new(color.fuchsia, 0)) plot(bbBasis, title="BB Basis", color=color.new(color.gray, 50)) plot(bbLower, title="BB Lower", color=color.new(color.fuchsia, 0)) plotshape(confirmedEntry, title="🚀 Confirmed", location=location.belowbar, color=color.green, style=shape.labelup, text="🚀", size=size.tiny) plotshape(earlyEntry, title="⚠️ Early", location=location.belowbar, color=color.orange, style=shape.labelup, text="⚠️", size=size.tiny) // ========= Alerts ========= alertcondition(confirmedEntry, title="🚀 Confirmed Entry", message="🚀 {{ticker}} confirmed entry on {{interval}}") alertcondition(earlyEntry, title="⚠️ Early Entry", message="⚠️ {{ticker}} early entry on {{interval}}")
Pine Script® strategy
by mohammedmagboul
🎯 Super MA Arrows with Trend Bands🎯 Core Structure of the Indicator 1. Input Parameters Configuration One of the most comprehensive indicators, featuring 50+ configurable variables, categorized into: MA Settings: Define MA types and periods Signal Settings: Customize signal conditions Display Settings: Manage visual outputs AI Settings: Enable/disable learning module Multi-Timeframe Settings: Analyze across multiple timeframes 2. Moving Average & Envelope Calculations The indicator employs multiple moving averages and an adaptive envelope: Fast MA: Captures short-term movement (default: 9) Slow MA: Reflects overall trend direction (default: 21) Filter MA: Filters market noise (default: 50) Envelope: Auto-adjusting support/resistance zones 3. Market Structure Analysis Purpose: Confirm the market’s directional bias by evaluating swing highs/lows, breakouts, and consolidation zones.
Pine Script® indicator
by thanachot22
Super MA Arrows with Trend Bands1. Input Parameters Configuration One of the most comprehensive indicators, featuring 50+ configurable variables, categorized into: MA Settings: Define MA types and periods Signal Settings: Customize signal conditions Display Settings: Manage visual outputs AI Settings: Enable/disable learning module Multi-Timeframe Settings: Analyze across multiple timeframes 2. Moving Average & Envelope Calculations The indicator employs multiple moving averages and an adaptive envelope: Fast MA: Captures short-term movement (default: 9) Slow MA: Reflects overall trend direction (default: 21) Filter MA: Filters market noise (default: 50) Envelope: Auto-adjusting support/resistance zones 3. Market Structure Analysis Purpose: Confirm the market’s directional bias by evaluating swing highs/lows, breakouts, and consolidation zones.
Pine Script® indicator
by thanachot22
HANUMAN INDICATORThe VIKRANT INDICATOR is a powerful all-in-one TradingView tool designed for traders who want accuracy, clarity, and confidence in their trades. Built with advanced technical logic, it helps identify market trends, entry & exit points, and high-probability trade setups across Forex, Crypto, Indices, Stocks, and Commodities. ⚡ Key Features: ✅ Smart Trend Detection using multi-layer confluence (EMA / Supertrend / RSI / Volume logic) ✅ Clear Buy/Sell signals with chart labels ✅ Built-in Stop Loss (SL), Take Profit (TP), and Trailing Stop system ✅ Works on all timeframes – from scalping (1m/5m) to intraday & swing trading ✅ Backtestable strategy to check accuracy & performance ✅ Fully customizable settings for every trader’s style
Pine Script® indicator
by gdtoxic333
3-Candle Reversal Pattern-vahid2star3-Candle Reversal Zones + Hammer Confirmation (with Risk Management & Alerts) This script combines 3-candle reversal detection, hammer confirmations, and smart demand/supply zone plotting into a single tool designed for both discretionary and automated traders. 🔍 Core Logic 3-Candle Reversal Pattern Candle-1: Strong move in one direction (big body). Candle-2: Doji-like candle (high shadow/body ratio). Candle-3: Reversal candle in the opposite direction (large body relative to Candle-2). A gap after Candle-3 is required for extra confirmation. Hammer Confirmation (Hammer-1 & Hammer-2) After a valid 3-candle setup, the script searches for a hammer pattern near the zone. Hammer-1: Draws a box directly on the hammer range if followed by a strong confirming candle. Hammer-2: If another hammer forms after the confirmation candle and holds for N bars (configurable), a second hammer box is drawn. Demand & Supply Zones For bullish setups, a demand zone is created from the Candle-2 low to the Candle-1 low. For bearish setups, a supply zone is created from the Candle-2 high to the Candle-1 high. Zones extend to the right until price interacts with them. 🛠 Filters & Quality Controls Trend filter (optional): Only draw zones if price respects higher-timeframe EMA200 slope and LTF EMA alignment. Market structure filter: Require higher-high / higher-low (for bullish) or lower-high / lower-low (for bearish). ATR filter: Zones must have a minimum height relative to ATR. Overlap control: Avoid drawing zones that overlap too heavily with existing ones. Cooldown: Restrict consecutive zones of the same type within a user-defined bar distance. 🎯 Risk Management & Strategy Dynamic position sizing: Trade size is automatically calculated from account equity, risk %, and leverage. Stop-loss & Take-profit: SL placed just beyond the zone ± buffer ticks. TP automatically set at user-defined Reward:Risk ratio (e.g., 3:1). Capital protection: Trades respect max leverage and risk per position settings. ⚡ Alerts The script provides one-time alerts for each zone: 🔔 First Touch Alert → Triggered when price first touches a demand, supply, or hammer box. Each zone only fires one alert, avoiding duplicates on re-touch or trade exit. 📊 Visuals Demand zones: Green boxes. Supply zones: Red boxes. Hammer boxes: Blue (bullish) / Orange (bearish). Used zones: Greyed out after price fills them. Outcomes: Zones change to green if TP is hit, red if SL is hit. Optional labels mark “Bullish zone ✓”, “Bearish zone ✓”, “Hammer-1 ✓”, or “Hammer-2 ✓” when confirmed. 🔧 Settings Overview Core pattern ratios (C1/C2, C3/C2 size multipliers). Doji definition (shadow/body ratio). Hammer search depth, confirmation delay, and strictness. Risk % per trade, leverage cap, stop buffer, RR ratio. Visual styling (colors, max box count, labels). Trend, structure, ATR, overlap, and cooldown filters. Option to disable orders (use as indicator + alerts only). ⚠️ Disclaimer This script is a technical analysis tool intended for educational purposes. It does not guarantee profits. Use proper risk management and test thoroughly before applying in live trading. ✨ With its combination of 3-candle reversals, hammer confirmations, and smart filtering, this script is designed to reduce noise, highlight high-probability zones, and give traders both visual structure and actionable alerts.
Pine Script® strategy
by sh_vahid