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Bill Williams Indicators

Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics. Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved. The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment. The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score. For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged. Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk. Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods. To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample. Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value. Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them. Quantum Trading Matrix — multi-factor intraday dashboard (educational use only). Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence. Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments. Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital. Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses. ________________________________________ Risk & Misuse Disclaimer This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Pine Script® indicator
by aiTrendview-Charting-System
4 DU DINHSample Indicator Introduction (English) Title: Adaptive Trend & Momentum Indicator Short Description: An adaptive indicator that combines trend detection and momentum confirmation to help identify potential entry and exit points in various markets. Full Description: This indicator is designed to provide traders with a clear view of both trend direction and momentum strength. It dynamically adjusts to different market conditions, making it suitable for cryptocurrencies, stocks, and forex. Main Features: Trend Identification: Uses adaptive moving averages to detect bullish or bearish market phases. Momentum Confirmation: Integrates oscillator-based signals to reduce false entries during sideways markets. Customizable Inputs: Adjustable sensitivity, smoothing factors, and signal thresholds. Non-repainting Logic: Signals are only confirmed after candle close to avoid misleading entries. How to Use: A bullish signal occurs when trend direction turns positive and momentum confirms. A bearish signal occurs when trend direction turns negative with momentum confirmation. Recommended for H1 and higher timeframes, but can be tuned for intraday strategies. ⚠️ Disclaimer: This indicator is for educational purposes only. It does not guarantee profits. Always combine with proper risk management and backtesting before trading live.
Pine Script® indicator
by nvt191655320
Playbook//@version=6 indicator('Playbook', overlay = true, scale = scale.right) // === Inputs === useYesterdayPOC = input.bool(true, 'Use Yesterday\'s POC (else Today’s Developing)') atrLength = input.int(14, 'ATR Length', minval = 1) stretchMult = input.float(1.5, 'Stretch Threshold (in ATRs)', minval = 0.1, step = 0.1) showBands = input.bool(true, "Show Stretch Bands") useAnchoredVWAP = input.bool(true, "Show Anchored VWAP") anchorDate = input.time(timestamp("01 Jan 2023 00:00 +0000"), "VWAP Anchor Date") // === ATR === atr = ta.atr(atrLength) isNewDay = ta.change(time('D')) != 0 // === VWAP as POC Approximation === todayVWAP = ta.vwap var float yVWAP = na if isNewDay yVWAP := todayVWAP activePOC = useYesterdayPOC and not na(yVWAP) ? yVWAP : todayVWAP // === Stretch Bands === upperBand = activePOC + atr * stretchMult lowerBand = activePOC - atr * stretchMult // Plot stretch bands pocColor = color.yellow bandFill = plot(upperBand, "Upper Band", color=color.red, linewidth=1, display=showBands ? display.all : display.none) bandFill2 = plot(lowerBand, "Lower Band", color=color.green, linewidth=1, display=showBands ? display.all : display.none) pocLine = plot(activePOC, "POC Target", color=pocColor, linewidth=2) fill(bandFill, bandFill2, color=color.new(color.gray, 90)) // === Anchored VWAP === anchoredVWAP = ta.vwap(ta.change(time) >= anchorDate ? close : na) plot(useAnchoredVWAP ? anchoredVWAP : na, "Anchored VWAP", color=color.blue, linewidth=2) // === STATUS TABLE === var table statusTable = table.new(position.bottom_right, 1, 1, border_width=1, border_color=color.gray) insideBands = close <= upperBand and close >= lowerBand statusText = insideBands ? "WAIT" : "TRADE AVAILABLE" statusColor = insideBands ? color.orange : color.green table.cell(statusTable, 0, 0, statusText, text_color=color.rgb(5, 4, 4), bgcolor=statusColor) // === Heatmap === bgcolor(close > upperBand ? color.new(color.red, 80) : close < lowerBand ? color.new(color.green, 80) : color.new(color.orange, 90))
Pine Script® indicator
by luisbolanos521
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
🚀⚠️ 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