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PRO SMC DASHBOARDPRO SMC DASHBOARD - PRO LEVEL Advanced Supply & Demand / SMC dashboard for scalping and intraday: Multi-Timeframe Trend: Visualizes trend direction for M1, M5, M15, H1, H4. HTF Supply/Demand: Shows closest high time frame (HTF) supply/demand zone and distance (in pips). Smart “Flip” & Liquidity Signals: Flip and Liquidity Sweep arrows/signals are shown only when truly significant: Near HTF Supply/Demand zone And confirmed by volume spike or high confluence score Momentum & Bias: Real-time momentum (RSI M1), H1 bias and fakeout detection. Confluence Score: Objective score (out of 7) for trade confidence. Volume Spike, Divergence, BOS: Includes volume spikes, RSI divergence (M1), and Break of Structure (BOS) for both M15 & H1. Ultra-clean chart: Only valid signals/alerts shown; no spam or visual clutter. Full dashboard with all signals and context, always visible bottom-right. Best used for: Forex, Gold/Silver, US indices, and crypto Scalping/intraday with fast, clear decisions based on multi-factor SMC logic Usage: Add to your chart, monitor the dashboard for valid setups, and trade only when multiple factors align for high-probability entries. How to Use the PRO SMC DASHBOARD 1. Add the Script to Your Chart: Apply the indicator to your favorite Forex, Gold, crypto, or indices chart (best on M1, M5, or M15 for entries). 2. Read the Dashboard (Bottom Right): The dashboard shows real-time information from multiple timeframes and key SMC filters, including: Trend (M1, M5, M15, H1, H4): Arrows show up (↑) or down (↓) trend for each timeframe, based on EMA. Momentum (RSI M1): Shows “Strong Up,” “Strong Down,” or “Neutral” plus the current RSI value. RSI (H1): Higher timeframe momentum confirmation. ATR State: Indicates current volatility (High, Normal, Low). Session: Detects if the market is in London, NY, or Asia session (based on UTC). HTF S/D Zone: Shows the nearest high timeframe Supply or Demand zone, its timeframe (M15, H1, H4), and exact pip distance. Fakeout (last 3): Detects recent false breakouts—if there are multiple fakeouts, potential for reversal is higher. FVG (Fair Value Gap): Indicates direction and distance to the nearest FVG (Above/Below). Bias: “Strong Buy,” “Strong Sell,” or “Neutral”—multi-timeframe, momentum, and volatility filtered. Inducement: Alerts for possible “stop hunt” or liquidity grab before reversal. BOS (Break of Structure): Recent or live breaks of market structure (for both M15 & H1). Liquidity Sweep: Shows if price just swept a key high/low and then reversed (often key reversal point). Confluence Score (0-7): Higher score means more factors align—look for 5+ for strong setups. Volume Spike: “YES” appears if the current volume is significantly above average—big players are active! RSI Divergence: Bullish or bearish divergence on M1—signals early reversal risk. Momentum Flip: “UP” or “DN” appears if RSI M1 crosses the 50 line, confirmed by location and other filters. Chart Signals (Arrows & Markers): Flip arrows (up/down) and Liquidity markers only appear when price is at/near a key Supply/Demand zone and confirmed by either a volume spike or strong confluence. No signal spam: If you see an arrow or LIQ tag, it’s a truly significant moment! Suggested Trading Workflow: Scan the Dashboard: Is the multi-timeframe trend aligned? Are you near a major Supply or Demand zone? Is the Confluence Score high (5 or more)? Check for Signals: Is there a Flip or LIQ marker near a Supply/Demand zone? Is volume spiking or a fakeout just occurred? Look for Reversal or Continuation: If there’s a Flip at Demand (with high confluence), consider a long setup. If there’s a LIQ sweep + flip + volume at Supply, consider a short. Manage Risk: Don’t chase every signal. Confirm with your entry criteria and preferred session timing. Pro Tips: Highest confidence trades: When dashboard signals and chart arrows/markers agree, especially with high confluence and volume spike. Adapt pip distance filter: Dashboard is tuned for FX and gold; for other assets, adjust pip-size filter if needed. Use alerts (if enabled): Set up custom TradingView alerts for “Flip” or “Liquidity” signals for auto-notifications. Designed to help you make professional, objective decisions—without chart clutter or second-guessing!
Pine Script® göstergesi
stoyan_valev tarafından
EMA and Dow Theory Strategies🌐 Strategy Description 📘 Overview This is a hybrid strategy that combines EMA crossovers, Dow Theory swing logic, and multi-timeframe trend overlays. It is suitable for intraday to short-term trading on any asset class: crypto, forex, stocks, and indices. The strategy provides precise entry/exit signals, dynamic stop-loss and scale-out, and highly visual trade guidance. 🧠 Key Features ・Dual EMA crossover system (applied to both symbol and external index) ・Dow Theory-based swing high/low detection for trend confirmation ・Visual overlay of higher timeframe swing trend (htfTrend) ・RSI filter to avoid overbought/oversold entries ・Dynamic partial take-profit when trend weakens ・Custom stop-loss (%) control ・Visualized trade PnL labels directly on chart ・Alerts for entry, stop-loss, partial exit ・Gradient background zones for swing zones and trend visualization ・Auto-tracked metrics: APR, drawdown, win rate, equity curve ⚙️ Input Parameters | Parameter | Description | | ------------------------- | -------------------------------------------------------- | | Fast EMA / Slow EMA | Periods for detecting local trend via EMAs | | Index Fast EMA / Slow EMA | EMAs applied to external reference index | | StopLoss | Maximum loss threshold in % | | ScaleOut Threshold | Scale-out percentage when trend changes color | | RSI Period / Levels | RSI period and overbought/oversold levels | | Swing Detection Length | Number of bars used to detect swing highs/lows | | Stats Display Options | Toggle PnL labels and position of statistics table | 🧭 About htfTrend (Higher Timeframe Trend) The script includes a higher timeframe trend (htfTrend) calculated using Dow Theory (pivot highs/lows). This trend is only used for visual guidance, not for actual entry conditions. Why? Strictly filtering trades by higher timeframe often leads to missed opportunities and low frequency. By keeping htfTrend visual-only, traders can still refer to macro structure but retain trade flexibility. Use it as a contextual tool, not a constraint. ストラテジー説明 📘 概要 本ストラテジーは、EMAクロスオーバー、ダウ理論によるスイング判定、**上位足トレンドの視覚表示（htfTrend）**を組み合わせた複合型の短期トレーディング戦略です。 仮想通貨・FX・株式・指数など幅広いアセットに対応し、デイトレード〜スキャルピング用途に適しています。 動的な利確/損切り、視覚的にわかりやすいエントリー/イグジット、統計表示を搭載しています。 🧠 主な機能 ・対象銘柄＋外部インデックスのEMAクロスによるトレンド判定 ・ダウ理論に基づいたスイング高値・安値検出とトレンド判断 ・上位足スイングトレンド（htfTrend）の視覚表示 ・RSIフィルターによる過熱・売られすぎの回避 ・トレンドの弱まりに応じた部分利確（スケールアウト） ・**損切り閾値（％）**をカスタマイズ可能 ・チャート上に損益ラベル表示 ・アラート完備（エントリー・決済・部分利確） ・トレンドゾーンを可視化する背景グラデーション ・勝率・ドローダウン・APR・資産増加率などの自動表示 | 設定項目名 | 説明内容 | | --------------------- | -------------------------- | | Fast EMA / Slow EMA | 銘柄に対して使用するEMAの期間設定 | | Index Fast / Slow EMA | 外部インデックスのEMA設定 | | 損切り（StopLoss） | 損切りラインのしきい値（%で指定） | | 部分利確しきい値 | トレンド弱化時にスケールアウトする割合（%） | | RSI期間・水準 | RSI計算期間と、過熱・売られすぎレベル設定 | | スイング検出期間 | スイング高値・安値の検出に使用するバー数 | | 統計表示の切り替え | 損益ラベルや統計テーブルの表示／非表示選択 | 🧭 上位足トレンド（htfTrend）について 本スクリプトには、上位足でのスイング高値・安値の更新に基づく**htfTrend（トレンド判定）が含まれています。 これは視覚的な参考情報であり、エントリーやイグジットには直接使用されていません。** その理由は、上位足を厳密にロジックに組み込むと、トレード機会の損失が増えるためです。 このスクリプトでは、**判断の補助材料として「表示のみに留める」**設計を採用しています。 → 裁量で「利確を早める」「逆張りを避ける」判断に活用可能です。
Pine Script® stratejisi
mm_mitsuya tarafından
Ultra BUY SELL//@version=5 indicator("Ultra BUY SELL", overlay = false) // Inputs src = input(close, "Source", group = "Main settings") p = input.int(180, "Trend period", group = "Main settings", tooltip = "Changes STRONG signals' sensitivity.", minval = 1) atr_p = input.int(155, "ATR Period", group = "Main settings", minval = 1) mult = input.float(2.1, "ATR Multiplier", step = 0.1, group = "Main settings", tooltip = "Changes sensitivity: higher period = higher sensitivty.") mode = input.string("Type A", "Signal mode", options = , group = "Mode") use_ema_smoother = input.string("No", "Smooth source with EMA?", options = , group = "Source") src_ema_period = input(3, "EMA Smoother period", group = "Source") color_bars = input(true, "Color bars?", group = "Addons") signals_view = input.string("All", "Signals to show", options = , group = "Signal's Addon") signals_shape = input.string("Labels", "Signal's shape", options = , group = "Signal's Addon") buy_col = input(color.rgb(0, 255, 8), "Buy colour", group = "Signal's Addon", inline = "BS") sell_col = input(color.rgb(255, 0, 0), "Sell colour", group = "Signal's Addon", inline = "BS") // Calculations src := use_ema_smoother == "Yes" ? ta.ema(src, src_ema_period) : src // Source; h = ta.highest(src, p) // Highest of src p-bars back; l = ta.lowest(src, p) // Lowest of src p-bars back. d = h - l ls = "" // Tracker of last signal m = (h + l) / 2 // Initial trend line; m := bar_index > p ? m : m atr = ta.atr(atr_p) // ATR; epsilon = mult * atr // Epsilon is a mathematical variable used in many different theorems in order to simplify work with mathematical object. Here it used as sensitivity measure. change_up = (mode == "Type B" ? ta.cross(src, m + epsilon) : ta.crossover(src, m + epsilon)) or src > m + epsilon // If price breaks trend line + epsilon (so called higher band), then it is time to update the value of a trend line; change_down = (mode == "Type B" ? ta.cross(src, m - epsilon) : ta.crossunder(src, m - epsilon)) or src < m - epsilon // If price breaks trend line - epsilon (so called higher band), then it is time to update the value of a trend line. sb = open < l + d / 8 and open >= l ss = open > h - d / 8 and open <= h strong_buy = sb or sb or sb or sb or sb strong_sell = ss or ss or ss or ss or ss m := (change_up or change_down) and m != m ? m : change_up ? m + epsilon : change_down ? m - epsilon : nz(m , m) // Updating the trend line. ls := change_up ? "B" : change_down ? "S" : ls // Last signal. Helps avoid multiple labels in a row with the same signal; colour = ls == "B" ? buy_col : sell_col // Colour of the trend line. buy_shape = signals_shape == "Labels" ? shape.labelup : shape.triangleup sell_shape = signals_shape == "Labels" ? shape.labeldown : shape.triangledown // Plottings // Signals with label shape plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Buy/Sell") and change_up and ls != "B" and not strong_buy, "Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.normal, text = "BUY", textcolor = color.white, force_overlay=true) // Plotting the BUY signal; plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Buy/Sell") and change_down and ls != "S" and not strong_sell, "Sell signal" , color = colour, style = sell_shape, size = size.normal, text = "SELL", textcolor = color.white, force_overlay=true) // Plotting the SELL signal. plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Strong") and change_up and ls != "B" and strong_buy, "Strong Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.normal, text = "STRONG", textcolor = color.white, force_overlay=true) // Plotting the STRONG BUY signal; plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Strong") and change_down and ls != "S" and strong_sell, "Strong Sell signal" , color = colour, style = sell_shape, size = size.normal, text = "STRONG", textcolor = color.white, force_overlay=true) // Plotting the STRONG SELL signal. // Signal with arrow shape plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Buy/Sell") and change_up and ls != "B" and not strong_buy, "Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.tiny, force_overlay=true) // Plotting the BUY signal; plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Buy/Sell") and change_down and ls != "S" and not strong_sell, "Sell signal" , color = colour, style = sell_shape, size = size.tiny, force_overlay=true) // Plotting the SELL signal. plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Strong") and change_up and ls != "B" and strong_buy, "Strong Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.tiny, force_overlay=true) // Plotting the STRONG BUY signal; plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Strong") and change_down and ls != "S" and strong_sell, "Strong Sell signal" , color = colour, style = sell_shape, size = size.tiny, force_overlay=true) // Plotting the STRONG SELL signal. barcolor(color_bars ? colour : na) // Bar coloring // Alerts matype = input.string(title='MA Type', defval='EMA', options= ) ma_len1 = input(title='Short EMA1 Length', defval=5) ma_len2 = input(title='Long EMA1 Length', defval=7) ma_len3 = input(title='Short EMA2 Length', defval=5) ma_len4 = input(title='Long EMA2 Length', defval=34) ma_len5 = input(title='Short EMA3 Length', defval=98) ma_len6 = input(title='Long EMA3 Length', defval=45) ma_len7 = input(title='Short EMA4 Length', defval=7) ma_len8 = input(title='Long EMA4 Length', defval=11) ma_len9 = input(title='Short EMA5 Length', defval=11) ma_len10 = input(title='Long EMA5 Length', defval=15) ma_offset = input(title='Offset', defval=0) //res = input(title="Resolution", type=resolution, defval="240") f_ma(malen) => float result = 0 if matype == 'EMA' result := ta.ema(src, malen) result if matype == 'SMA' result := ta.sma(src, malen) result result htf_ma1 = f_ma(ma_len1) htf_ma2 = f_ma(ma_len2) htf_ma3 = f_ma(ma_len3) htf_ma4 = f_ma(ma_len4) htf_ma5 = f_ma(ma_len5) htf_ma6 = f_ma(ma_len6) htf_ma7 = f_ma(ma_len7) htf_ma8 = f_ma(ma_len8) htf_ma9 = f_ma(ma_len9) htf_ma10 = f_ma(ma_len10) //plot(out1, color=green, offset=ma_offset) //plot(out2, color=red, offset=ma_offset) //lengthshort = input(8, minval = 1, title = "Short EMA Length") //lengthlong = input(200, minval = 2, title = "Long EMA Length") //emacloudleading = input(50, minval = 0, title = "Leading Period For EMA Cloud") //src = input(hl2, title = "Source") showlong = input(false, title='Show Long Alerts') showshort = input(false, title='Show Short Alerts') showLine = input(false, title='Display EMA Line') ema1 = input(true, title='Show EMA Cloud-1') ema2 = input(true, title='Show EMA Cloud-2') ema3 = input(true, title='Show EMA Cloud-3') ema4 = input(true, title='Show EMA Cloud-4') ema5 = input(true, title='Show EMA Cloud-5') emacloudleading = input.int(0, minval=0, title='Leading Period For EMA Cloud') mashort1 = htf_ma1 malong1 = htf_ma2 mashort2 = htf_ma3 malong2 = htf_ma4 mashort3 = htf_ma5 malong3 = htf_ma6 mashort4 = htf_ma7 malong4 = htf_ma8 mashort5 = htf_ma9 malong5 = htf_ma10 cloudcolour1 = mashort1 >= malong1 ? color.rgb(0, 255, 0) : color.rgb(255, 0, 0) cloudcolour2 = mashort2 >= malong2 ? #4caf4f47 : #ff110047 cloudcolour4 = mashort4 >= malong4 ? #4caf4f52 : #f2364652 cloudcolour5 = mashort5 >= malong5 ? #33ff0026 : #ff000026 //03abc1 mashortcolor1 = mashort1 >= mashort1 ? color.olive : color.maroon mashortcolor2 = mashort2 >= mashort2 ? color.olive : color.maroon mashortcolor3 = mashort3 >= mashort3 ? color.olive : color.maroon mashortcolor4 = mashort4 >= mashort4 ? color.olive : color.maroon mashortcolor5 = mashort5 >= mashort5 ? color.olive : color.maroon mashortline1 = plot(ema1 ? mashort1 : na, color=showLine ? mashortcolor1 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA1', force_overlay=true) mashortline2 = plot(ema2 ? mashort2 : na, color=showLine ? mashortcolor2 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA2', force_overlay=true) mashortline3 = plot(ema3 ? mashort3 : na, color=showLine ? mashortcolor3 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA3', force_overlay=true) mashortline4 = plot(ema4 ? mashort4 : na, color=showLine ? mashortcolor4 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA4', force_overlay=true) mashortline5 = plot(ema5 ? mashort5 : na, color=showLine ? mashortcolor5 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA5', force_overlay=true) malongcolor1 = malong1 >= malong1 ? color.green : color.red malongcolor2 = malong2 >= malong2 ? color.green : color.red malongcolor3 = malong3 >= malong3 ? color.green : color.red malongcolor4 = malong4 >= malong4 ? color.green : color.red malongcolor5 = malong5 >= malong5 ? color.green : color.red malongline1 = plot(ema1 ? malong1 : na, color=showLine ? malongcolor1 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA1', force_overlay=true) malongline2 = plot(ema2 ? malong2 : na, color=showLine ? malongcolor2 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA2', force_overlay=true) malongline3 = plot(ema3 ? malong3 : na, color=showLine ? malongcolor3 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA3', force_overlay=true) malongline4 = plot(ema4 ? malong4 : na, color=showLine ? malongcolor4 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA4', force_overlay=true) malongline5 = plot(ema5 ? malong5 : na, color=showLine ? malongcolor5 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA5', force_overlay=true) fill(mashortline1, malongline1, color=cloudcolour1, title='MA Cloud1', transp=45) fill(mashortline2, malongline2, color=cloudcolour2, title='MA Cloud2', transp=65) fill(mashortline4, malongline4, color=cloudcolour4, title='MA Cloud4', transp=65) fill(mashortline5, malongline5, color=cloudcolour5, title='MA Cloud5', transp=65) leftBars = input(15, title='Left Bars ') rightBars = input(15, title='Right Bars') volumeThresh = input(20, title='Volume Threshold') // highUsePivot = fixnan(ta.pivothigh(leftBars, rightBars) ) lowUsePivot = fixnan(ta.pivotlow(leftBars, rightBars) ) r1 = plot(highUsePivot, color=ta.change(highUsePivot) ? na : #FF0000, linewidth=3, offset=-(rightBars + 1), title='Resistance', force_overlay=true) s1 = plot(lowUsePivot, color=ta.change(lowUsePivot) ? na : #00ff0d, linewidth=3, offset=-(rightBars + 1), title='Support', force_overlay=true) //Volume % short = ta.ema(volume, 5) long = ta.ema(volume, 10) osc = 100 * (short - long) / long //For bull / bear wicks // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © divudivu600 // Developer By ALCON ALGO //telegram : @harmonicryptosignals //@version = 5 //indicator(shorttitle='Oscillator Vision', title='Alcon Oscillator Vision', overlay=false) n1 = input(10, 'Channel length') n2 = input(21, 'Average length') reaction_wt = input.int(defval=1, title='Reaction in change of direction', minval=1) nsc = input.float(53, 'Levels About Buys', minval=0.0) nsv = input.float(-53, 'Levels About Sells', maxval=-0.0) Buy_sales = input(true, title='Only Smart Buy Reversal') Sell_sales = input(true, title='Only Smart Sell Reversal') Histogram = input(true, title='Show Histogarm') //Trendx = input(false, title='Show Trendx') barras = input(true, title='Divergence on chart(Bars)') divregbull = input(true, title='Regular Divergence Bullish') divregbear = input(true, title='Regular Divergence Bearish') divhidbull = input(true, title='Show Divergence Hidden Bullish') divhidbear = input(true, title='Show Divergence Hidden Bearish') Tags = input(true, title='Show Divergence Lable') amme = input(false, title='Activar media movil Extra para WT') White = #FDFEFE Black = #000000 Bearish = #e91e62 Bullish = #18e0ff Strong_Bullish = #2962ff Bullish2 = #00bedc Blue1 = #00D4FF Blue2 = #009BBA orange = #FF8B00 yellow = #FFFB00 LEZ = #0066FF purp = #FF33CC // Colouring tf(_res, _exp, gaps_on) => gaps_on == 0 ? request.security(syminfo.tickerid, _res, _exp) : gaps_on == true ? request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_on, barmerge.lookahead_off) : request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_off, barmerge.lookahead_off) ha_htf = '' show_ha = input.bool(true, "Show HA Plot/ Market Bias", group="HA Market Bias") ha_len = input(7, 'Period', group="HA Market Bias") ha_len2 = input(10, 'Smoothing', group="HA Market Bias") // Calculations { o = ta.ema(open, ha_len) c = ta.ema(close, ha_len) h1 = ta.ema(high, ha_len) l1 = ta.ema(low, ha_len) haclose = tf(ha_htf, (o + h1 + l1 + c) / 4, 0) xhaopen = tf(ha_htf, (o + c) / 2, 0) haopen = na(xhaopen ) ? (o + c) / 2 : (xhaopen + haclose ) / 2 hahigh = math.max(h1, math.max(haopen, haclose)) halow = math.min(l1, math.min(haopen, haclose)) o2 = tf(ha_htf, ta.ema(haopen, ha_len2), 0) c2 = tf(ha_htf, ta.ema(haclose, ha_len2), 0) h2 = tf(ha_htf, ta.ema(hahigh, ha_len2), 0) l2 = tf(ha_htf, ta.ema(halow, ha_len2), 0) ha_avg = (h2 + l2) / 2 // } osc_len = 8 osc_bias = 100 *(c2 - o2) osc_smooth = ta.ema(osc_bias, osc_len) sigcolor = (osc_bias > 0) and (osc_bias >= osc_smooth) ? color.new(Bullish, 35) : (osc_bias > 0) and (osc_bias < osc_smooth) ? color.new(Bullish2, 75) : (osc_bias < 0) and (osc_bias <= osc_smooth) ? color.new(Bearish, 35) : (osc_bias < 0) and (osc_bias > osc_smooth) ? color.new(Bearish, 75) : na // } nsc1 = nsc nsc2 = nsc + 5 nsc3 = nsc + 10 nsc4 = nsc + 15 nsc5 = nsc + 20 nsc6 = nsc + 25 nsc7 = nsc + 30 nsc8 = nsc + 35 nsv1 = nsv - 5 nsv2 = nsv - 10 nsv3 = nsv - 15 nsv4 = nsv - 20 nsv5 = nsv - 25 nsv6 = nsv - 30 nsv7 = nsv - 35 nsv8 = nsv - 40 ap = hlc3 esa = ta.ema(ap, n1) di = ta.ema(math.abs(ap - esa), n1) ci = (ap - esa) / (0.015 * di) tci = ta.ema(ci, n2) wt1 = tci wt2 = ta.sma(wt1, 4) direction = 0 direction := ta.rising(wt1, reaction_wt) ? 1 : ta.falling(wt1, reaction_wt) ? -1 : nz(direction ) Change_of_direction = ta.change(direction, 1) pcol = direction > 0 ? Strong_Bullish : direction < 0 ? Bearish : na obLevel1 = input(60, 'Over Bought Level 1') obLevel2 = input(53, 'Over Bought Level 2') osLevel1 = input(-60, 'Over Sold Level 1') osLevel2 = input(-53, 'Over Sold Level 2') rsi = ta.rsi(close,14) color greengrad = color.from_gradient(rsi, 10, 90, #00ddff, #007d91) color redgrad = color.from_gradient(rsi, 10, 90, #8b002e, #e91e62) ob1 = plot(obLevel1, color=#e91e6301) os1 = plot(osLevel1, color=#00dbff01) ob2 = plot(obLevel2, color=#e91e6301) os2 = plot(osLevel2, color=#00dbff01) p1 = plot(wt1, color=#00dbff01) p2 = plot(wt2, color=#e91e6301) plot(wt1 - wt2, color=wt2 - wt1 > 0 ? redgrad : greengrad, style=plot.style_columns) // fill(p1,p2,color = wt2 - wt1 > 0 ? redgrad: greengrad) // old fill(p1,p2,color = sigcolor) // new fill(ob1,ob2,color = #e91e6350) fill(os1,os2,color = #00dbff50) midpoint = (nsc + nsv) / 2 ploff = (nsc - midpoint) / 8 BullSale = ta.crossunder(wt1, wt2) and wt1 >= nsc and Buy_sales == true BearSale = ta.crossunder(wt1, wt2) and Buy_sales == false Bullishh = ta.crossover(wt1, wt2) and wt1 <= nsv and Sell_sales == true Bearishh = ta.crossover(wt1, wt2) and Sell_sales == false plot(BullSale ? wt2 + ploff : na, style=plot.style_circles, color=color.new(Bearish, 0), linewidth=6, title='BuysG') plot(BearSale ? wt2 + ploff : na, style=plot.style_circles, color=color.new(Bearish, 0), linewidth=6, title='SellsG') plot(Bullishh ? wt2 - ploff : na, style=plot.style_circles, color=color.new(Strong_Bullish, 0), linewidth=6, title='Buys On Sale') plot(Bearishh ? wt2 - ploff : na, style=plot.style_circles, color=color.new(Strong_Bullish, 0), linewidth=6, title='Sells on Sale') //plot(Histogram ? wt1 - wt2 : na, style=plot.style_area, color=color.new(Blue2, 80), linewidth=1, title='Histograma') //barcolor(barras == true and Bullishh == true or barras == true and Bearishh == true ? Bullish2 : na) //barcolor(barras == true and BullSale == true or barras == true and BearSale == true ? Bearish : na) /////// Divergence /////// f_top_fractal(_src) => _src < _src and _src < _src and _src > _src and _src > _src f_bot_fractal(_src) => _src > _src and _src > _src and _src < _src and _src < _src f_fractalize(_src) => f_top_fractal(_src) ? 1 : f_bot_fractal(_src) ? -1 : 0 fractal_top1 = f_fractalize(wt1) > 0 ? wt1 : na fractal_bot1 = f_fractalize(wt1) < 0 ? wt1 : na high_prev1 = ta.valuewhen(fractal_top1, wt1 , 0) high_price1 = ta.valuewhen(fractal_top1, high , 0) low_prev1 = ta.valuewhen(fractal_bot1, wt1 , 0) low_price1 = ta.valuewhen(fractal_bot1, low , 0) regular_bearish_div1 = fractal_top1 and high > high_price1 and wt1 < high_prev1 and divregbear == true hidden_bearish_div1 = fractal_top1 and high < high_price1 and wt1 > high_prev1 and divhidbear == true regular_bullish_div1 = fractal_bot1 and low < low_price1 and wt1 > low_prev1 and divregbull == true hidden_bullish_div1 = fractal_bot1 and low > low_price1 and wt1 < low_prev1 and divhidbull == true col1 = regular_bearish_div1 ? Bearish : hidden_bearish_div1 ? Bearish : na col2 = regular_bullish_div1 ? Strong_Bullish : hidden_bullish_div1 ? Strong_Bullish : na //plot(title='Divergence Bearish', series=fractal_top1 ? wt1 : na, color=col1, linewidth=2, transp=0) //plot(title='Divergence Bullish', series=fractal_bot1 ? wt1 : na, color=col2, linewidth=2, transp=0) plotshape(regular_bearish_div1 and divregbear and Tags ? wt1 + ploff * 1 : na, title='Divergence Regular Bearish', text='Bear', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(Bearish, 0), textcolor=color.new(White, 0)) plotshape(hidden_bearish_div1 and divhidbear and Tags ? wt1 + ploff * 1 : na, title='Divergence Hidden Bearish', text='H Bear', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(Bearish, 0), textcolor=color.new(White, 0)) plotshape(regular_bullish_div1 and divregbull and Tags ? wt1 - ploff * 1 : na, title='Divergence Regular Bullish', text='Bull', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(Strong_Bullish, 0), textcolor=color.new(White, 0)) plotshape(hidden_bullish_div1 and divhidbull and Tags ? wt1 - ploff * 1 : na, title='Divergence Hidden Bullish', text='H Bull', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(Strong_Bullish, 0), textcolor=color.new(White, 0)) /////// Unfazed Alerts ////// ////////////////////////////////////////////////-MISTERMOTA MOMENTUM-///////////////////////////////////// source = input(close) responsiveness = math.max(0.00001, input.float(0.9, minval=0.0, maxval=1.0)) periodd = input(50) sd = ta.stdev(source, 50) * responsiveness var worm = source diff = source - worm delta = math.abs(diff) > sd ? math.sign(diff) * sd : diff worm += delta ma = ta.sma(source, periodd) raw_momentum = (worm - ma) / worm current_med = raw_momentum min_med = ta.lowest(current_med, periodd) max_med = ta.highest(current_med, periodd) temp = (current_med - min_med) / (max_med - min_med) value = 0.5 * 2 value *= (temp - .5 + .5 * nz(value )) value := value > .9999 ? .9999 : value value := value < -0.9999 ? -0.9999 : value temp2 = (1 + value) / (1 - value) momentum = .25 * math.log(temp2) momentum += .5 * nz(momentum ) //momentum := raw_momentum signal = nz(momentum ) trend = math.abs(momentum) <= math.abs(momentum ) ////////////////////////////////////////////////-GROWING/FAILING-////////////////////////////////////////// length = input.int(title="MOM Period", minval=1, defval=14, group="MOM Settings") srcc = input(title="MOM Source", defval=hlc3, group="MOM Settings") txtcol_grow_above = input(#1a7b24, "Above   Grow", group="MOM Settings", inline="Above") txtcol_fall_above = input(#672ec5, "Fall", group="MOM Settings", inline="Above") txtcol_grow_below = input(#F37121, "Below Grow", group="MOM Settings", inline="Below") txtcol_fall_below = input(#be0606, "Fall", group="MOM Settings", inline="Below") ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) typeMA = input.string(title = "Method", defval = "SMA", options= , group="MA Settings") smoothingLength = input.int(title = "Length", defval = 5, minval = 1, maxval = 100, group="MA Settings") smoothingLine = ma(delta, smoothingLength, typeMA) deltaText=(delta > 0 ? (delta > delta ? " MOM > 0 and ▲ Growing, MOM = " + str.tostring(delta , "#.##") :" MOM > 0 and ▼ Falling, MOM = " + str.tostring(delta , "#.##") ) : (delta > delta ? "MOM < 0 and ▲ Growing, MOM = " + str.tostring(delta , "#.##"): " MOM < 0 and ▼ Falling, MOM = " + str.tostring(delta , "#.##"))) oneDay = 24 * 60 * 60 * 1000 barsAhead = 3 tmf = if timeframe.ismonthly barsAhead * oneDay * 30 else if timeframe.isweekly barsAhead * oneDay * 7 else if timeframe.isdaily barsAhead * oneDay else if timeframe.isminutes barsAhead * oneDay * timeframe.multiplier / 1440 else if timeframe.isseconds barsAhead * oneDay * timeframe.multiplier / 86400 else 0 angle(_src) => rad2degree = 180 / 3.14159265359 //pi ang = rad2degree * math.atan((_src - _src ) / ta.atr(14)) ang emae = angle(smoothingLine) emaanglestat = emae > emae ? "▲ Growing": "▼ Falling" deltaTextxxx = "MOM MA/ATR angle value is " + str.tostring(emae, "#.##") + "° and is " + emaanglestat deltacolorxxx = emae >0 and emae >=emae ? txtcol_grow_above : txtcol_fall_below // Label label lpt1 = label.new(time, -30, text=deltaTextxxx , color=deltacolorxxx, xloc=xloc.bar_time, style=label.style_label_left, textcolor=color.white, textalign=text.align_left, size=size.normal) label.set_x(lpt1, label.get_x(lpt1) + tmf) label.delete(lpt1 ) txtdeltaColors = (delta > 50 ? (delta < delta ? txtcol_grow_above : txtcol_fall_above) : (delta < delta ? txtcol_grow_below : txtcol_fall_below)) label ldelta1 = label.new(time, 30, text=deltaText , color=txtdeltaColors, xloc=xloc.bar_time, style=label.style_label_left, textcolor=color.white, textalign=text.align_left, size=size.normal) label.set_x(ldelta1, label.get_x(ldelta1) + tmf) label.delete(ldelta1 )
Pine Script® göstergesi
brunoscarabelli82 tarafından
Eliora Gold 1min (Heikin Ashi)Eliora -focused trading strategy designed for anything on the 1-minute timeframe using Heikin Ashi candles. This mode combines advanced market logic with structured risk management to deliver smooth, disciplined trade execution. Key Features: ✅ Trend Confirmation – Aligns with dominant market direction for higher accuracy. ✅ ATR-Based Volatility Filter – Avoids high-risk conditions and chaotic price action. ✅ Candle Strength Logic – Filters weak setups, focusing on strong momentum. ✅ Balanced Risk/Reward – Calculates stop-loss and take-profit dynamically for consistent results. ✅ Cooldown & Overtrade Protection – Limits frequency to maintain trade quality. This version of Eliora is built for scalpers and intraday traders seeking high-probability entries with graceful exits.
Pine Script® stratejisi
Ashleysantiago98 tarafından
1
Multi-Method Moving Average v6.0Multi-Methods Moving Average Indicator is a versatile tool designed for traders who want to identify key price levels that can act as support and resistance in the market. This indicator utilizes multiple moving averages (MAs) to help visualize price trends and potential reversal points, aiding traders in making informed decisions. Features Multiple Moving Averages: The indicator calculates and displays six different moving averages (MA1 to MA6) based on user-defined periods. This allows traders to analyze short-term and long-term trends effectively. Customizable Inputs: Users can customize the periods for each moving average and select the type of moving average (SMA, EMA, WMA) that best suits their trading strategy. Price Source Selection: The indicator allows users to choose the price source (Open, Close, High, Low, or the average of Open and Close) for calculating the moving averages, providing flexibility in analysis. Color-Coded Signals: The moving averages are color-coded based on the current price relative to the moving average, helping traders quickly identify bullish or bearish conditions. How to Use Adding the Indicator: Open TradingView and navigate to the chart you wish to analyze. Click on the "Indicators" button at the top of the chart. Search for "Multi-Methods Moving Average" and select the indicator to add it to your chart. Customizing Settings: Click on the gear icon next to the indicator's name in the chart legend to open the settings menu. Adjust the periods for each moving average to fit your trading style. Common settings include 9, 26, 52, 100, 200, and 500 periods. Choose the type of moving average you prefer (SMA, EMA, or WMA). Select the price source that aligns with your trading strategy. Interpreting the Indicator: Moving Averages: Observe the position of the moving averages relative to the price. If the price is above the moving average, it indicates a bullish trend; if below, it suggests a bearish trend. Crossover Signals: Look for crossovers between the moving averages. A crossover where a shorter moving average crosses above a longer moving average may signal a potential buy opportunity, while a crossover in the opposite direction may indicate a sell opportunity. Support and Resistance Levels: Use the moving averages as dynamic support and resistance levels. Price often reacts at these levels, providing potential entry and exit points for trades. Risk Management: Always combine the insights from this indicator with other forms of analysis, such as price action, volume analysis, and market sentiment. Set stop-loss and take-profit levels based on the identified support and resistance levels to manage your risk effectively. Conclusion The Support & Resistance Indicator is an essential tool for traders looking to enhance their market analysis. By leveraging multiple moving averages and customizable settings, traders can gain a clearer understanding of market trends and make more informed trading decisions.
Pine Script® göstergesi
Neomway tarafından
15m EMA 50 CloudDescription: The 15m EMA 50 Cloud is a simple but powerful tool designed for scalpers and intraday traders who hunt for low timeframe patterns while staying anchored to higher timeframe trend context. This indicator displays the 50-period EMA and its volatility cloud from the 15-minute chart on any timeframe - including 1m, 3m, or 5m. The cloud adapts dynamically and remains visible even when you zoom into lower timeframes, helping you instantly see whether price is trading above, below or within the 15m trend structure. Features: * Plots the 15-minute 50 EMA Cloud on any chart, regardless of your selected timeframe. * Cloud width is based on 15m price volatility (standard deviation), inspired by the popular "Traders Reality" indicator. * Option to enable or hide the EMA line for a cleaner look. * Customizable colors for the cloud fill, border, and EMA line. * Works with all markets and all symbols. How to Use: * Perfect for scalpers who want to spot micro patterns (e.g., on 1m or 3m charts) while keeping the 15m EMA cloud as a visual "road map". * Use the cloud as a dynamic support/resistance zone or to define higher timeframe trend bias. * Combine with your favorite price action or orderflow setups for multi-timeframe confluence. Settings: * Toggle EMA line ON/OFF. * Adjust cloud and border colors for your chart style. For educational purposes only. This indicator does not provide financial advice or signals. Always use proper risk management. ⚠️ Important Notice This tool is provided for educational and informational purposes only . It is designed to assist in technical analysis learning and visual chart study. It is not intended to be used as financial advice, a buy/sell signal, or any form of investment recommendation . By using this indicator, you acknowledge that all actions you take are your own and you assume full responsibility for any decisions made.
Pine Script® göstergesi
Marketoolkit tarafından
Ultimate JLines & MTF EMA (Configurable, Labels)## Ultimate JLines & MTF EMA (Configurable, Labels) — Script Overview This Pine Script is a comprehensive, multi-timeframe indicator based on J Trader concepts. It overlays various Exponential Moving Averages (EMAs), VWAP, inside bar highlights, and dynamic labels onto price charts. The script is highly configurable, allowing users to tailor which elements are displayed and how they appear. ### Key Features #### 1. **Multi-Timeframe JLines** - **JLines** are pairs of EMAs (default lengths: 72 and 89) calculated on several timeframes: - 1 minute (1m) - 3 minutes (3m) - 5 minutes (5m) - 1 hour (1h) - Custom timeframe (user-selectable) - Each pair can be visualized as individual lines and as a "cloud" (shaded area between the two EMAs). - Colors and opacity for each timeframe are user-configurable. #### 2. **200 EMA on Multiple Timeframes** - Plots the 200-period EMA on selectable timeframes: 1m, 3m, 5m, 15m, and 1h. - Each can be toggled independently and colored as desired. #### 3. **9 EMA and VWAP** - Plots a 9-period EMA, either on the chart’s current timeframe or a user-specified one. - Plots VWAP (Volume-Weighted Average Price) for additional trend context. #### 4. **5/15 EMA Cross Cloud (5min)** - Calculates and optionally displays a shaded "cloud" between the 5-period and 15-period EMAs on the 5-minute chart. - Highlights bullish (5 EMA above 15 EMA) and bearish (5 EMA below 15 EMA) conditions with different colors. - Optionally displays the 5 and 15 EMA lines themselves. #### 5. **Inside Bar Highlighting** - Highlights bars where the current high is less than or equal to the previous high and the low is greater than or equal to the previous low (inside bars). - Color is user-configurable. #### 6. **9 EMA / VWAP Cross Arrows** - Plots up/down arrows when the 9 EMA crosses above or below the VWAP. - Arrow colors and visibility are configurable. #### 7. **Dynamic Labels** - On the most recent bar, displays labels for each enabled line (EMAs, VWAP), offset to the right for clarity. - Labels include the timeframe, type, and current value. ### Customization Options - **Visibility:** Each plot (line, cloud, arrow, label) can be individually toggled on/off. - **Colors:** All lines, clouds, and arrows can be colored to user preference, including opacity for clouds. - **Timeframes:** JLines and EMAs can be calculated on different timeframes, including a custom one. - **Label Text:** Labels dynamically reflect current indicator values and are color-coded to match their lines. ### Technical Implementation Highlights - **Helper Functions:** Functions abstract away the logic for multi-timeframe EMA calculation. - **Security Calls:** Uses `request.security` to fetch data from other timeframes, ensuring accurate multi-timeframe plotting. - **Efficient Label Management:** Deletes old labels and creates new ones only on the last bar to avoid clutter and maintain performance. - **Conditional Plotting:** All visual elements are conditionally plotted based on user input, making the indicator highly flexible. ### Use Cases - **Trend Identification:** Multiple EMAs and VWAP help traders quickly identify trend direction and strength across timeframes. - **Support/Resistance:** 200 EMA and JLines often act as dynamic support/resistance levels. - **Entry/Exit Signals:** Crosses between 9 EMA and VWAP, as well as 5/15 EMA clouds, can signal potential trade entries or exits. - **Pattern Recognition:** Inside bar highlights aid in spotting consolidation and breakout patterns. ### Summary Table of Configurable Elements | Feature | Timeframes | Cloud Option | Label Option | Color Customizable | Description | |----------------------------|-------------------|--------------|--------------|--------------------|-----------------------------------------------| | JLines (72/89 EMA) | 1m, 3m, 5m, 1h, Custom | Yes | Yes | Yes | Key trend-following EMAs with cloud fill | | 200 EMA | 1m, 3m, 5m, 15m, 1h | No | Yes | Yes | Long-term trend indicator | | 9 EMA | Any | No | Yes | Yes | Short-term trend indicator | | VWAP | Chart TF | No | Yes | Yes | Volume-weighted average price | | 5/15 EMA Cloud (5m) | 5m | Yes | No | Yes | Bullish/bearish cloud between 5/15 EMAs | | Inside Bar Highlight | Chart TF | No | N/A | Yes | Highlights price consolidation | | 9 EMA / VWAP Cross Arrows | Chart TF | No | N/A | Yes | Marks EMA/VWAP crossovers with arrows | This script is ideal for traders seeking a robust, multi-timeframe overlay that combines trend, momentum, and pattern signals in a single, highly customizable indicator. I do not advocate to subscribe to JTrades or the system they tout. This is based on my own observations and not a copy of any JTrades scripts. It is open source to allow full transparency.
Pine Script® göstergesi
mike_Ipp tarafından
3 Consecutive Same Color CandlesThis TradingView Pine Script detects when three consecutive candlesticks are either all bullish (green) or all bearish (red). It plots a triangle marker above or below the candle to visually signal the pattern and optionally triggers alerts. How It Works: A green signal (triangle up) appears below the third candle if the last 3 candles closed higher than they opened (bullish). A red signal (triangle down) appears above the third candle if the last 3 candles closed lower than they opened (bearish). Alerts can be set up to notify you immediately when the pattern forms. Use Case on the 10-Minute Chart: On the 10-minute chart, this script helps you spot short-term momentum buildups in either direction. Bullish Signal (3 Green Candles): Suggests buyers are gaining control. Can be used to: Enter breakout trades Confirm trend continuation Prepare for scalp entries or momentum trades Bearish Signal (3 Red Candles): Indicates sellers are applying pressure. Can help: Spot pullbacks or trend reversals Set up for short positions Warn of potential breakdowns Example Trading Ideas: Pair with EMA or support/resistance for confirmation. Use as a momentum filter in scalping systems. Combine with volume or RSI divergence to gauge strength or exhaustion.
Pine Script® göstergesi
LorPlant tarafından
Auto Intelligence Selective Moving Average(AI/MA)# 🤖 Auto Intelligence Moving Average Strategy (AI/MA) **AI/MA** is a state-adaptive moving average crossover strategy designed to **maximize returns from golden cross / death cross logic** by intelligently switching between different MA types and parameters based on market conditions. --- ## 🎯 Objective To build a moving average crossover strategy that: - **Adapts dynamically** to market regimes (trend vs range, rising vs falling) - **Switches intelligently** between SMA, EMA, RMA, and HMA - **Maximizes cumulative return** under realistic backtesting --- ## 🧪 materials amd methods - **MA Types Considered**: SMA, EMA, RMA, HMA - **Parameter Ranges**: Periods from 5 to 40 - **Market Conditions Classification**: - Based on the slope of a central SMA(20) line - And the relative position of price to the central line - Resulting in 4 regimes: A (Bull), B (Pullback), C (Rebound), D (Bear) - **Optimization Dataset**: - **Bybit BTCUSDT.P** - **1-hour candles** - **2024 full-year** - **Search Process**: - **Random search**: 200 parameter combinations - Evaluated by: - `Cumulative PnL` - `Sharpe Ratio` - `Max Drawdown` - `R² of linear regression on cumulative PnL` - **Implementation**: - Optimization performed in **Python (Pandas + Matplotlib + Optuna-like logic)** - Final parameters ported to **Pine Script (v5)** for TradingView backtesting --- ## 📈 Performance Highlights (on optimization set) | Timeframe | Return (%) | Notes | |-----------|------------|----------------------------| | 6H | +1731% | Strongest performance | | 1D | +1691% | Excellent trend capture | | 12H | +1438% | Balance of trend/range | | 5min | +27.3% | Even survives scalping | | 1min | +9.34% | Robust against noise | - Leverage: 100x - Position size: 100% - Fees: 0.055% - Margin calls: **none** 🎯 --- ## 🛠 Technology Stack - `Python` for data handling and optimization - `Pine Script v5` for implementation and visualization - Fully state-aware strategy, modular and extendable --- ## ✨ Final Words This strategy is **not curve-fitted**, **not over-parameterized**, and has been validated across multiple timeframes. If you're a fan of dynamic, intelligent technical systems, feel free to use and expand it. 💡 The future of simple-yet-smart trading begins here.
Pine Script® stratejisi
chikaharu tarafından
2
SMCX Morning Signal (v6) - Previous Day Confirmed (non-repaint)Paints (no repaint) either a buy or not buy signal for every day based on 3 conditions that pretty accurately predict a green candle day, and it's been tested accurate on just about anything. The 3 conditions are price above 4 hour vwap, price above 8 hour vwap, and 4 hour rvol > 1. We can change the title but I labeled it SMCX morning signal because I was originally trying to shark big moves for SMCX, but then when I got the indicator to work, I saw how rare a green signal was, which I suppose it should be, I needed to backtest it across a wide range of stocks and ETFs. The results were incredible (have stats in a spreadsheet that ranks which leveraged ETFs I should check a signal for by day of the week). Would be great to have this officially published. We could call it VWAP and RVOL market structure confirmation signal.
Pine Script® göstergesi
jimwolsten40 tarafından
1
CandelaCharts - HTF Sweeps📝 Overview This indicator lets you overlay a higher timeframe (HTF) onto your current chart, giving you a clearer view of broader market movements without switching timeframes. This indicator also detects liquidity sweeps and plots them on both the higher timeframe (HTF) and the current lower timeframe (LTF), helping traders clearly spot potential reversal points. It adds LTF dividers for better structure clarity, making it easier to align with HTF shifts and refine entry timing with greater precision. 📦 Features This indicator identifies price sweeps and their invalidations, helping traders spot potential liquidity grabs and failed breakout attempts. Overlay a configurable higher timeframe (HTF) on the current chart Detects and plots liquidity sweeps on both HTF and LTF Adds lower timeframe (LTF) dividers for improved structure clarity Ideal for ICT-style top-down analysis and precision entries without switching charts ⚙️ Settings Customize the indicator to suit your strategy. Alert options are also available, so you can stay informed when key market events are triggered. Timeframes: Select the higher timeframe (HTF) to overlay on your current chart. HTF Coloring: Customize the color scheme for HTF candles. HTF Offset: Space of HTF Candles and current chart. HTF Size: Adjust the size of HTF candles. HTF Labels: Toggle labels for HTF. LTF H/L Line: Show or hide high/low lines from the lower timeframe. LTF O/C Line: Display open/close lines from the lower timeframe. Sweep: Enable detection and plotting of liquidity sweeps. I-sweep: Toggle invalidated sweep detection. Alerts: Enable Sweep Formation or Invalidation alerts ⚡️ Showcase See the indicator applied in live market scenarios, illustrating how sweep detections and invalidations unfold on various charts. HTF Candles HTF Sweeps LTF Sweeps Invalidated Sweeps 🚨 Alerts This indicator includes built-in alert functionality to keep you informed of key market events in real time. It supports the following customizable alerts on TradingView: Sweep Detection: Notifies you when a price sweep is detected—either a liquidity sweep above recent highs or below recent lows. This can be a strong signal of potential reversals or liquidity grabs by larger market participants. Sweep Invalidation: Alerts you when a previously detected sweep becomes invalidated due to price action moving beyond a defined threshold. This helps traders stay adaptive and avoid acting on outdated signals. These alerts are fully integrated with TradingView’s native alert system, so you can receive notifications via app, email, or pop-up—ensuring you're always up to date, even when you're away from the chart. ⚠️ Disclaimer Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Pine Script® göstergesi
CandelaCharts tarafından
7
CandleTrack Pro | Pure Price Action Trend Detection CandleTrack Pro | Pure Price Action Trend Detection with Smart Candle Coloring 📝 Description: CandleTrack Pro is a clean, lightweight trend-detection tool that uses only candle structure and ATR-based logic to determine market direction — no indicators, no overlays, just pure price action. 🔍 Features: ✅ Smart Candle-Based Trend Detection Uses dynamic ATR thresholds to identify trend shifts with precision. ✅ Doji Protection Logic Automatically filters indecision candles to avoid whipsaws and false signals. ✅ Dynamic Bull/Bear Color Coding Bullish candles are colored green, bearish candles are colored red — see the trend instantly. ✅ No Noise, No Lag No moving averages, no smoothing — just real-time decision-making power based on price itself. 📈 Ideal For: Price action purists Scalpers and intraday traders Swing traders looking for clear visual bias ───────────────────────────────────────────────────────────── Disclaimer: This indicator is provided for educational and informational purposes only and should not be considered as financial or investment advice. The tool is designed to assist with technical analysis, but it does not guarantee any specific results or outcomes. All trading and investment decisions are made at your own risk. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before making any trading decisions. The author accepts no liability for any losses or damages resulting from the use of this script. By using this indicator, you acknowledge and accept these terms. ─────────────────────────────────────────────────────────────
Pine Script® göstergesi
DinkanWorld tarafından
3
MA Signal IndicatorMA Signal Indicator The MA Signal Indicator is a customizable designed to identify potential trading opportunities based on price interactions with a Simple Moving Average (SMA). It incorporates risk management features such as stop-loss (SL), take-profit (TP), and breakeven levels, calculated using the Average True Range (ATR). The indicator is visually intuitive, overlaying trade signals, price levels, and colored zones directly on the chart. Key Features: 1. Moving Average-Based Signals: • Generates buy (long) signals when the price crosses above a user-defined SMA (default: 55 periods). • Generates sell (short) signals when the price crosses below the SMA. • Long and short trades can be independently enabled or disabled via input settings. 2. Risk Management: • Stop-Loss (SL): Set as a multiple of the ATR (default: 1x ATR) below the entry price for long trades or above for short trades. • Take-Profit (TP): Set as a multiple of the ATR (default: 5x ATR) above the entry price for long trades or below for short trades. • Breakeven Level: A trigger level (default: 2x ATR) where traders may choose to move their stop-loss to breakeven, optionally displayed on the chart. 3. Visual Feedback: • SMA Line: Plotted in orange (default: 55-period SMA) for trend reference. • Trade Zone: Highlights the area between the stop-loss and take-profit levels with a semi-transparent green (long) or red (short) background. • Price Lines: Displays entry price (white), stop-loss (red), take-profit (green), and breakeven level (gray, optional) as horizontal lines during active trades. • Signal Markers: Triangular markers indicate entry points (green triangle up for long, red triangle down for short). • Exit Markers: Labels show when a trade hits the take-profit (green checkmark) or stop-loss (red cross). 4. Trade Logic: • Only one trade is active at a time (long or short). • Trades are exited when either the stop-loss or take-profit is hit, resetting the indicator for the next signal. • Ensures signals are only triggered when not already in a trade, avoiding duplicate entries. Inputs: • MA Period: Length of the SMA (default: 55). • ATR Period: Period for ATR calculation (default: 5). • SL Multiplier: ATR multiplier for stop-loss (default: 1.0). • TP Multiplier: ATR multiplier for take-profit (default: 5.0). • Move to Breakeven After: ATR multiplier for breakeven trigger (default: 2.0). • Show Break Even Line: Option to display the breakeven level (default: true). • Allow Long Trades: Enable/disable long signals (default: true). • Allow Short Trades: Enable/disable short signals (default: true). Use Case: This indicator is ideal for trend-following traders who want a clear, visual system for entering and exiting trades based on SMA crossovers, with predefined risk and reward levels. It suits both manual and automated trading strategies, providing flexibility to adjust parameters for different markets or timeframes. Notes: • The indicator is overlaid on the price chart for easy integration with other analysis tools. • Users should test and adjust parameters (e.g., MA length, ATR multipliers) to suit their trading style and market conditions. • The breakeven line is a visual guide; manual adjustment of stops is required as the indicator does not automatically modify trade positions. This indicator provides a robust framework for disciplined trading with clear entry, exit, and risk management visuals.
Pine Script® göstergesi
averagemouse954 tarafından
ATR Trend Strategy + KAMA FilterATR Trend Strategy with XMA KAMA Filter Strategy Description This strategy combines a dynamic ATR trailing stop with an XMA KAMA filter to precisely detect trends and generate reliable entry signals. It uses a two-step trend confirmation system: 1️⃣ ATR Trailing Stop Based on the Average True Range (ATR), this trailing stop automatically adapts to market volatility. It determines whether the market is in a bullish or bearish phase by comparing the current price to the ATR trailing stop level. 2️⃣ KAMA Filter (XMA Version) KAMA (Kaufman Adaptive Moving Average) provides an additional trend filter. This XMA version of KAMA avoids the traditional fast/slow parameters and instead dynamically calculates the ratio of signal to market "noise", helping to reduce false signals and over-sensitivity. How It Works Long Signal: Price is above both the ATR trailing stop and the KAMA (XMA) line. Short Signal: Price is below both the ATR trailing stop and the KAMA (XMA) line. What Makes This Strategy Different? Unlike many classic strategies that rely on simple moving averages, this system uses an adaptive KAMA filter that responds better to changing market conditions and volatility. The ATR trailing stop automatically adjusts to current market volatility, providing an extra layer of protection against false breakouts. By combining these tools, this strategy offers: Precise trend filtering Avoidance of false breakouts and noise Dynamic adjustment to market conditions How to Use Apply the strategy to any market chart (Forex, stocks, crypto, indices, etc.) Adjust the ATR and KAMA parameters to match your trading plan Use the TradingView Strategy Tester to evaluate performance before live trading Who Is This For? Swing traders and trend followers Traders looking for clean, filtered signals with reduced noise Medium-term traders seeking a system that adapts to market dynamics Additional Info: Heikin Ashi Compatibility This strategy is fully compatible with Heikin Ashi candles. By applying it to a chart with Heikin Ashi candles, traders can further reduce market noise and enhance trend visualization. The combination of ATR trailing stop + XMA KAMA filter + Heikin Ashi smoothing provides an even cleaner trend-following system, minimizing false signals and improving decision-making clarity.
Pine Script® stratejisi
Aleksin_Aleksandar tarafından
SCPEM - Socionomic Crypto Peak Model (0-85 Scale)SCPEM Indicator Overview The SCPEM (Socionomic Crypto Peak Evaluation Model) indicator is a TradingView tool designed to approximate cycle peaks in cryptocurrency markets using socionomic theory, which links market behavior to collective social mood. It generates a score from 0-85 (where 85 signals extreme euphoria and high reversal risk) and plots it as a blue line on the chart for visual backtesting and real-time analysis. #### How It Works The indicator uses technical proxies to estimate social mood factors, as Pine Script cannot fetch external data like sentiment indices or social media directly. It calculates a weighted composite score on each bar: - Proxies derive from price, volume, and volatility data. - The raw sum of factor scores (max ~28) is normalized to 0-85. - The score updates historically for backtesting, showing mood progression over time. - Alerts trigger if the score exceeds 60, indicating high peak probability. Users can adjust inputs (e.g., lengths for RSI or pivots) to fine-tune for different assets or timeframes. Metrics Used (Technical Proxies) Crypto-Specific Sentiment Approximated by RSI (overbought levels indicate greed). Social Media Euphoria Based on volume relative to its SMA (spikes suggest herding/FOMO). Broader Social Mood Proxies Derived from ATR volatility (high values signal uncertain/mixed mood). Search and Cultural Interest Proxied by OBV trend (rising accumulation implies growing interest). Socionomic Wildcard Uses Bollinger Band width (expansion for positive mood, contraction for negative). Elliott Wave Position Counts recent price pivots (more swings indicate later wave stages and exhaustion).
Pine Script® göstergesi
gtvsteve tarafından
LiliALHUNTERSystem_v2📚 **Library: LiliALHUNTERSystem_v2** This library provides a powerful target management system for Pine Script developers. It includes advanced calculators for EMA, RMA, and Supertrend, and introduces a central `createTargets()` function to dynamically render target lines and labels based on long/short trade logic. 🛠️ **Main Features:** – Dynamic horizontal & vertical target lines – Dual target configuration (Target 1 & Target 2) – Directional logic via `isLong1`, `isLong2` – Integrated Supertrend validation – Visual dashboard and label display – Works seamlessly with custom indicators 🎯 **Purpose:** The `LiliALHUNTERSystem_v2` Library enables Pine coders to manage and visualize targets consistently across all trading strategies and indicators. It simplifies target logic while maintaining visual clarity and modular usage. ⚠️ **Disclaimer:** This script is intended for educational and analytical purposes only. It does not constitute financial advice. Library "LiliALHUNTERSystem_v2" ema_calc(len, source)   Parameters:      len (simple int)      source (float) rma_calc(len, source)   Parameters:      len (simple int)      source (float) supertrend_calc(length, factor)   Parameters:      length (simple int)      factor (float) createTargets(config, state, source1A, source1B, source2A, source2B)   Parameters:      config (TargetConfig)      state (TargetState)      source1A (float)      source1B (float)      source2A (float)      source2B (float) showDashboard(state, dashLoc, textSize)   Parameters:      state (TargetState)      dashLoc (string)      textSize (string) TargetConfig   Fields:      enableTarget1 (series bool)      enableTarget2 (series bool)      isLong1 (series bool)      isLong2 (series bool)      target1Condition (series string)      target2Condition (series string)      target1Color (series color)      target2Color (series color)      target1Style (series string)      target2Style (series string)      distTarget1 (series float)      distTarget2 (series float)      distOptions1 (series string)      distOptions2 (series string)      showLabels (series bool)      showDash (series bool) TargetState   Fields:      target1LineV (series line)      target1LineH (series line)      target2LineV (series line)      target2LineH (series line)      target1Lbl (series label)      target2Lbl (series label)      target1Active (series bool)      target2Active (series bool)      target1Value (series float)      target2Value (series float)      countTargets1 (series int)      countTgReached1 (series int)      countTargets2 (series int)      countTgReached2 (series int)
Pine Script® kütüphanesi
CYRPTOLILI tarafından
LANZ Strategy 5.0 [Backtest]🔷 LANZ Strategy 5.0 — Rule-Based BUY Logic with Time Filter, Session Limits and Auto SL/TP Execution This is the backtest version of LANZ Strategy 5.0, built as a strategy script to evaluate real performance under fixed intraday conditions. It automatically places BUY and SELL trades based on structured candle confirmation, EMA trend alignment, and session-based filters. The system simulates real-time execution with precise Stop Loss and Take Profit levels. 📌 Built for traders seeking to simulate clean intraday logic with fully automated entries and performance metrics. 🧠 Core Logic & Strategy Conditions ✅ BUY Signal Conditions: Price is above the EMA200 The last 3 candles are bullish (close > open) The signal occurs within the defined session window (NY time) Daily trade limit has not been exceeded If all are true, a BUY order is executed at market, with SL and TP set immediately. 🔻 SELL Signal Conditions (Optional): Exactly inverse to BUY (below EMA + 3 bearish candles). Disabled by default. 🕐 Operational Time Filter (New York Time) You can fully customize your intraday window: Start Time: e.g., 01:15 NY End Time: e.g., 16:00 NY The system evaluates signals only within this range, even across midnight if configured. 🔁 Trade Management System One trade at a time per signal Trades include a Stop Loss (SL) and Take Profit (TP) based on pip distance Trade result is calculated automatically Each signal is shown with a triangle marker (BUY only, by default) 🧪 Backtest Accuracy This version uses: strategy.order() for entries strategy.exit() for SL and TP strategy.close_all() at the configured manual closing time This ensures realistic behavior in the TradingView strategy tester. ⚙️ Flow Summary (Step-by-Step) On every bar, check: Is the time within the operational session? Is the price above the EMA? Are the last 3 candles bullish? If conditions met → A BUY trade is opened: SL = entry – X pips TP = entry + Y pips Trade closes: If SL or TP is hit Or at the configured manual close time (e.g., 16:00 NY) 📊 Settings Overview Timeframe: 1-hour (ideal) SL/TP: Configurable in pips Max trades/day: User-defined (default = 99 = unlimited) Manual close: Adjustable by time Entry type: Market (not limit) Visuals: Plotshape triangle for BUY entry 👨‍💻 Credits: 💡 Developed by: LANZ 🧠 Strategy logic & execution: LANZ ✅ Designed for: Clean backtesting, clarity in execution, and intraday logic simulation
Pine Script® stratejisi
rau_u_lanz tarafından
LANZ Strategy 5.0🔷 LANZ Strategy 5.0 — Intraday BUY Signals, Dynamic Lot Size per Account, Real-Time Dashboard and Smart Execution LANZ Strategy 5.0 is a powerful intraday tool designed for traders who need a visual-first, data-backed BUY system, enhanced with risk-aware lot size calculation and a real-time performance dashboard. This indicator intelligently detects strong momentum setups and provides visual and statistical clarity throughout the session. 📌 This is an indicator, not a strategy — It does not place trades automatically but provides precise conditions, alerts, and visual guides to support execution. 🧠 Core Logic & Features BUY Entry Conditions (Signal Engine) A BUY signal is triggered when: The current price is above the EMA200 (trend filter) The last 3 candles are bullish (candle body close > open) You are within the defined session window (NY time) When all conditions are met and you haven’t reached the daily trade limit, a signal appears on the chart and an optional alert is triggered. Operational Hours Filter (NY Time) You define: Start time (e.g., 01:15 NY) End time (e.g., 16:00 NY) The system only evaluates and executes signals within this period. If a BUY setup occurs outside the window, it’s ignored. The chart is also highlighted with a transparent teal background to visually show active trading hours. Lot Size Panel with Per-Account Risk Management Designed for traders managing multiple accounts or capital sources. You can enable up to 5 accounts, each with: Its own capital Its own risk percentage per trade The system uses the defined SL in pips, plus the instrument’s pip value, to calculate the lot size per account. All values are shown in a dedicated panel at the bottom-right, automatically updating with each new trade. The emojis (🐣🦊🦁🐲🐳) distinguish each account visually. Trade Visualization with Customizable Lines When a signal is triggered: An Entry Point (EP) line is drawn at the candle’s close. A Stop Loss (SL) line is placed X pips below the entry. A Take Profit (TP) line is placed Y pips above the entry. All three lines are fully customizable in style, color, and thickness. You define how many bars the lines should extend. Outcome Tracking & Real-Time Dashboard Each trade outcome is measured: SL hit = –1.00% TP hit = +3.00% Manual close = calculated dynamically based on price at close time Each result is labeled on the chart near its level, and stored. The top-right dashboard updates in real time: ✅ Number of trades 📈 Cumulative % gain/loss of the day (color-coded) Alerts You Can Trust: You’ll get a Buy Alert when a valid signal is formed You’ll get a Trade Executed Alert when the visual operation is plotted You’ll get a SL/TP Hit Alert with price and result You’ll get a Manual Close Alert if the configured time is reached and the trade is still active ⚙️ Step-by-Step Execution Flow At every bar, the system checks: Are we within the session time window? Is price above EMA? Are the last 3 candles bullish? ✅ If yes: A BUY signal is plotted Entry/SL/TP lines are drawn Lot sizes are calculated and displayed Trade is added to the daily count 🕐 At the configured Manual Close time (e.g., 16:00 NY): If the trade is still open, it's closed A label is added with the exact result in % 💡 Ideal For: Intraday traders who operate within fixed time sessions Traders managing multiple accounts or capital pools Anyone who wants full visual clarity of every decision point Traders who appreciate dynamic lot size calculation and clean execution tracking 👨‍💻 Credits: 💡 Developed by: LANZ 🧠 Strategy concept & execution model: LANZ 🧪 Tested on: 1H charts with visual-only execution 📈 Designed for: Clarity, adaptability, and full intraday control
Pine Script® göstergesi
rau_u_lanz tarafından