始めましょう

トレンド分析

Multi-Symbol 2m EMA DashboardIndicator Summary for Publishing The Multi-Symbol 2-Minute EMA Dashboard is a streamlined tool designed to monitor multiple symbols simultaneously using key EMAs and crossover signals. It provides a clear, color-coded table for quick trend analysis and trade signal tracking. Key Features: Multi-Symbol Support: Track up to 4 symbols at once in a single dashboard. 2-Minute Timeframe: All calculations are standardized to a 2-minute chart for fast-paced trading decisions. EMA Columns: EMA13, EMA48, EMA200 — Displays whether price is above (B, green) or below (S, red) each EMA. Crossover Signals (TBuy / TSell): TBuy (green) when EMA13 crosses above EMA48 — bullish momentum signal. TSell (red) when EMA13 crosses below EMA48 — bearish momentum signal. The column always displays the latest crossover event, making it easy to track the most recent trend shift. Clean Visuals: Table format with intuitive colors for fast decision-making. Black background indicates neutral/no crossover state.
Pine Script® インジケーター
RMPMの投稿
Shamji's Liquidity Sweep + FVG (Follow-up + Filters) Purpose (what it does) This indicator looks for two related price structures used by many smart-money / liquidity-hunt traders: Liquidity Sweeps — candles that wick beyond a recent swing high (for buy-side stop-hunts) or swing low (for sell-side stop-hunts), then close back inside. These are flagged as potential stop-hunt events that clear obvious liquidity. Fair Value Gaps (FVGs) — simple 3-bar style gaps where an older bar’s high is below the current low (bullish FVG) or an older bar’s low is above the current high (bearish FVG). When an FVG appears after a sweep (within a configurable window), this is considered a follow-up alignment. The script adds optional filters (volume spike and candle-range vs ATR) to increase confidence, and can restrict marking/alerts to only events that meet the follow-up and filter rules.
Pine Script® インジケーター
shiyamsunder87の投稿
PSAR+EMA+Hull+BBDescription This all-in-one indicator combines four proven tools: Parabolic SAR (Everget) — trend direction and potential reversals. Exponential Moving Averages (20/50/100/200) — customizable lengths, colors, and offsets. Hull Suite (InSilico) — smooth trend detection with multiple variations (HMA, THMA, EHMA). Bollinger Bands — volatility and dynamic support/resistance. Features Toggle each module on/off in settings. Fully configurable inputs (lengths, colors, offsets, multipliers). Optional PSAR labels, highlights, and state fill. Hull can color candles, draw band fills, and pull from higher timeframes. Bollinger Bands include multiple basis types, stdev multipliers, and fill transparency. Built-in alerts: PSAR direction change, Hull trending up/down. Category Trend Analysis (with Volatility as secondary).
Pine Script® インジケーター
Nochancesの投稿
GCK CRT MODEL Purpose Multi-timeframe execution toolkit that overlays HTF candle structure on any lower timeframe and automatically marks CRT (Counter-Reaction Tag) only when a lower-timeframe CISD occurs. It draws a short line from the exact liquidity wick/body to the break/rejection bar—never a long extended line. Includes bold C2 / C3 / C4 labels for clarity. What it shows HTF candles (bodies, wicks, start lines, timer, labels) on your LTF chart CISD → CRT: prints only when an LTF CISD triggers; line is anchored to the liquidity candle and ends at the break bar Midpoint (log-based) lines, sweep markers, FVG & VI zones (optional) T-Spot & Silver T-Spot logic (bias-aware), with confirmation and optional projections Compact info table (current TF → HTF model, time remaining, bias) Optional position sizing readout for the most recent confirmed sweep Key options HTF Mode: Auto or Custom (e.g., 1D, 1W) Use Body for Confirmation: choose body extremes vs wick for CISD/CRT anchoring Show Only Latest: keep the most recent T-Spot/CRT clean on chart Projections & CISD lines: on/off + levels Label Size: C2/C3/C4 printed larger by default for visibility How to use Add to your lower timeframe chart. Pick HTF (Auto is fine). Choose whether CRT/CISD checks use wick or body (toggle). (Optional) Enable projections/alerts/position sizing. Notes CRT only prints inside the current HTF phase when an LTF CISD happens. Lines are intentionally short (liquidity candle → rejection bar). For education/analysis only. Not financial advice.
Pine Script® インジケーター
GCKPROFITTRADINGの投稿
ICT 369 Sniper MSS Indicator (HTF Bias) - H2LThis script is an ICT (Inner Circle Trader) concept-based trading indicator designed to identify high-probability reversal or continuation setups, primarily focusing on intraday trading using a Higher Timeframe (HTF) directional bias. Here are the four core components of the indicator: Higher Timeframe (HTF) Bias Filter (Market Structure Shift - MSS): It determines the overall trend by checking if the current price has broken the most recent high or low swing point of a larger timeframe (e.g., 4H). This establishes a Bullish or Bearish bias, ensuring trades align with the dominant trend. Fair Value Gap (FVG) and OTE: It identifies price imbalances (FVGs) and calculates the Optimal Trade Entry (OTE) levels (50%, 62%, 70.5%, etc.) within those gaps, looking for price to retrace into these specific areas. Kill Zones (Timing): It incorporates specific time windows (London and New York Kill Zones, based on NY Time) where institutional trading activity is high, only allowing entry signals during these defined periods. Signal and Targets: It triggers a Long or Short signal when all criteria are met (HTF Bias, FVG, OTE retracement, and Kill Zone timing). It then calculates and plots suggested trade levels, including a Stop Loss (SL) and three Take Profit targets (TP1, TP2, and a dynamic Runner Target based on the weekly Average True Range or ATR). In summary, it's a comprehensive tool for traders following ICT principles, automating the confluence check across trend, structure, liquidity, and timing.
Pine Script® インジケーター
heartolearnの投稿
Delta Volume Signals by Claudio [hapharmonic]Modifications: Percentages without decimals. I replaced the 'Current Volume' row with two boxes: "Δ Vol" and its value, which changes color depending on the direction of the bearish/bullish candle. Signals can change color in the settings. Box spacing so the table doesn't constantly change size. To be modified: The Net Volume sign shouldn't change to negative when the candle is red. If anyone does this, let me know... claudio.ventola@hotmail.com Best regards!
Pine Script® インジケーター
claudiogabrielventolaの投稿
Volume Delta Volume Signals by Claudio [hapharmonic]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © hapharmonic //@version=6 FV = format.volume FP = format.percent indicator('Volume Delta Volume Signals by Claudio ', format = FV, max_bars_back = 4999, max_labels_count = 500) //------------------------------------------ // Settings | //------------------------------------------ bool usecandle = input.bool(true, title = 'Volume on Candles',display=display.none) color C_Up = input.color(#12cef8, title = 'Volume Buy', inline = ' ', group = 'Style') color C_Down = input.color(#fe3f00, title = 'Volume Sell', inline = ' ', group = 'Style') // ✅ Nueva entrada para colores de señales color buySignalColor = input.color(color.new(color.green, 0), "Buy Signal Color", group = "Signals") color sellSignalColor = input.color(color.new(color.red, 0), "Sell Signal Color", group = "Signals") string P_ = input.string(position.top_right,"Position",options = , group = "Style",display=display.none) string sL = input.string(size.small , 'Size Label', options = , group = 'Style',display=display.none) string sT = input.string(size.normal, 'Size Table', options = , group = 'Style',display=display.none) bool Label = input.bool(false, inline = 'l') History = input.bool(true, inline = 'l') // Inputs for EMA lengths and volume confirmation bool MAV = input.bool(true, title = 'EMA', group = 'EMA') string volumeOption = input.string('Use Volume Confirmation', title = 'Volume Option', options = , group = 'EMA',display=display.none) bool useVolumeConfirmation = volumeOption == 'none' ? false : true int emaFastLength = input(12, title = 'Fast EMA Length', group = 'EMA',display=display.none) int emaSlowLength = input(26, title = 'Slow EMA Length', group = 'EMA',display=display.none) int volumeConfirmationLength = input(6, title = 'Volume Confirmation Length', group = 'EMA',display=display.none) string alert_freq = input.string(alert.freq_once_per_bar_close, title="Alert Frequency", options= ,group = "EMA", tooltip="If you choose once_per_bar, you will receive immediate notifications (but this may cause interference or indicator repainting). However, if you choose once_per_bar_close, it will wait for the candle to confirm the signal before notifying.",display=display.none) //------------------------------------------ // UDT_identifier | //------------------------------------------ type OHLCV float O = open float H = high float L = low float C = close float V = volume type VolumeData float buyVol float sellVol float pcBuy float pcSell bool isBuyGreater float higherVol float lowerVol color higherCol color lowerCol //------------------------------------------ // Calculate volumes and percentages | //------------------------------------------ calcVolumes(OHLCV ohlcv) => var VolumeData data = VolumeData.new() data.buyVol := ohlcv.V * (ohlcv.C - ohlcv.L) / (ohlcv.H - ohlcv.L) data.sellVol := ohlcv.V - data.buyVol data.pcBuy := data.buyVol / ohlcv.V * 100 data.pcSell := 100 - data.pcBuy data.isBuyGreater := data.buyVol > data.sellVol data.higherVol := data.isBuyGreater ? data.buyVol : data.sellVol data.lowerVol := data.isBuyGreater ? data.sellVol : data.buyVol data.higherCol := data.isBuyGreater ? C_Up : C_Down data.lowerCol := data.isBuyGreater ? C_Down : C_Up data //------------------------------------------ // Get volume data | //------------------------------------------ ohlcv = OHLCV.new() volData = calcVolumes(ohlcv) // Plot volumes and create labels plot(ohlcv.V, color=color.new(volData.higherCol, 90), style=plot.style_columns, title='Total',display = display.all - display.status_line) plot(ohlcv.V, color=volData.higherCol, style=plot.style_stepline_diamond, title='Total2', linewidth = 2,display = display.pane) plot(volData.higherVol, color=volData.higherCol, style=plot.style_columns, title='Higher Volume', display = display.all - display.status_line) plot(volData.lowerVol , color=volData.lowerCol , style=plot.style_columns, title='Lower Volume',display = display.all - display.status_line) S(D,F)=>str.tostring(D,F) volStr = S(math.sign(ta.change(ohlcv.C)) * ohlcv.V, FV) buyVolStr = S(volData.buyVol , FV ) sellVolStr = S(volData.sellVol , FV ) // ✅ MODIFICACIÓN: Porcentaje sin decimales buyPercentStr = str.tostring(math.round(volData.pcBuy)) + " %" sellPercentStr = str.tostring(math.round(volData.pcSell)) + " %" totalbuyPercentC_ = volData.buyVol / (volData.buyVol + volData.sellVol) * 100 sup = not na(ohlcv.V) if sup TC = text.align_center CW = color.white var table tb = table.new(P_, 6, 6, bgcolor = na, frame_width = 2, frame_color = chart.fg_color, border_width = 1, border_color = CW) tb.cell(0, 0, text = 'Volume Candles', text_color = #FFBF00, bgcolor = #0E2841, text_halign = TC, text_valign = TC, text_size = sT) tb.merge_cells(0, 0, 5, 0) tb.cell(0, 1, text = 'Current Volume', text_color = CW, bgcolor = #0B3040, text_halign = TC, text_valign = TC, text_size = sT) tb.merge_cells(0, 1, 1, 1) tb.cell(0, 2, text = 'Buy', text_color = #000000, bgcolor = #92D050, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(1, 2, text = 'Sell', text_color = #000000, bgcolor = #FF0000, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(0, 3, text = buyVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(1, 3, text = sellVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(0, 5, text = 'Net: ' + volStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.merge_cells(0, 5, 1, 5) tb.cell(0, 4, text = buyPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) tb.cell(1, 4, text = sellPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT) cellCount = 20 filledCells = 0 for r = 5 to 1 by 1 for c = 2 to 5 by 1 if filledCells < cellCount * (totalbuyPercentC_ / 100) tb.cell(c, r, text = '', bgcolor = C_Up) else tb.cell(c, r, text = '', bgcolor = C_Down) filledCells := filledCells + 1 filledCells if Label sp = ' ' l = label.new(bar_index, ohlcv.V, text=str.format('Net: {0} Buy: {1} ({2}) Sell: {3} ({4}) {5}/\ {5}l {5}l', volStr, buyVolStr, buyPercentStr, sellVolStr, sellPercentStr, sp), style=label.style_none, textcolor=volData.higherCol, size=sL, textalign=text.align_left) if not History (l ).delete() //------------------------------------------ // Draw volume levels on the candlesticks | //------------------------------------------ float base = na,float value = na bool uc = usecandle and sup if volData.isBuyGreater base := math.min(ohlcv.O, ohlcv.C) value := base + math.abs(ohlcv.O - ohlcv.C) * (volData.pcBuy / 100) else base := math.max(ohlcv.O, ohlcv.C) value := base - math.abs(ohlcv.O - ohlcv.C) * (volData.pcSell / 100) barcolor(sup ? color.new(na, na) : ohlcv.C < ohlcv.O ? color.red : color.green,display = usecandle? display.all:display.none) UseC = uc ? volData.higherCol:color.new(na, na) plotcandle(uc?base:na, uc?base:na, uc?value:na, uc?value:na, title='Body', color=UseC, bordercolor=na, wickcolor=UseC, display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false) plotcandle(uc?ohlcv.O:na, uc?ohlcv.H:na, uc?ohlcv.L:na, uc?ohlcv.C:na, title='Fill', color=color.new(UseC,80), bordercolor=UseC, wickcolor=UseC, display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false) //------------------------------------------------------------ // Plot the EMA and filter out the noise with volume control. | //------------------------------------------------------------ float emaFast = ta.ema(ohlcv.C, emaFastLength) float emaSlow = ta.ema(ohlcv.C, emaSlowLength) bool signal = emaFast > emaSlow color c_signal = signal ? C_Up : C_Down float volumeMA = ta.sma(ohlcv.V, volumeConfirmationLength) bool crossover = ta.crossover(emaFast, emaSlow) bool crossunder = ta.crossunder(emaFast, emaSlow) isVolumeConfirmed(source, length, ma) => math.sum(source > ma ? source : 0, length) >= math.sum(source < ma ? source : 0, length) bool ISV = isVolumeConfirmed(ohlcv.V, volumeConfirmationLength, volumeMA) bool crossoverConfirmed = crossover and (not useVolumeConfirmation or ISV) bool crossunderConfirmed = crossunder and (not useVolumeConfirmation or ISV) PF = MAV ? emaFast : na PS = MAV ? emaSlow : na p1 = plot(PF, color = c_signal, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane) plot(PF, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane) p2 = plot(PS, color = c_signal, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane) plot(PS, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane) fill(p1, p2, top_value=crossover ? emaFast : emaSlow, bottom_value =crossover ? emaSlow : emaFast, top_color =color.new(c_signal, 80), bottom_color =color.new(c_signal, 95) ) // ✅ Usar colores configurables para señales plotshape(crossoverConfirmed and MAV, style=shape.triangleup , location=location.belowbar, color=buySignalColor , size=size.small, force_overlay=true,display =display.pane) plotshape(crossunderConfirmed and MAV, style=shape.triangledown, location=location.abovebar, color=sellSignalColor, size=size.small, force_overlay=true,display =display.pane) string msg = '--------- '+"Buy volume ="+buyVolStr+" Buy Percent = "+buyPercentStr+" Sell volume = "+sellVolStr+" Sell Percent = "+sellPercentStr+" Net = "+volStr+' ---------' if crossoverConfirmed alert("Price (" + str.tostring(close) + ") Crossed over MA " + msg, alert_freq) if crossunderConfirmed alert("Price (" + str.tostring(close) + ") Crossed under MA " + msg, alert_freq)
Pine Script® インジケーター
claudiogabrielventolaの投稿
Contrarian Period High & LowContrarian Period High & Low This indicator pairs nicely with the Contrarian 100 MA and can be located here: Overview The "Contrarian Period High & Low" indicator is a powerful technical analysis tool designed for traders seeking to identify key support and resistance levels and capitalize on contrarian trading opportunities. By tracking the highest highs and lowest lows over user-defined periods (Daily, Weekly, or Monthly), this indicator plots historical levels and generates buy and sell signals when price breaks these levels in a contrarian manner. A unique blue dot counter and action table enhance decision-making, making it ideal for swing traders, trend followers, and those trading forex, stocks, or cryptocurrencies. Optimized for daily charts, it can be adapted to other timeframes with proper testing. How It Works The indicator identifies the highest high and lowest low within a specified period (e.g., daily, weekly, or monthly) and draws horizontal lines for the previous period’s extremes on the chart. These levels act as dynamic support and resistance zones. Contrarian signals are generated when the price crosses below the previous period’s low (buy signal) or above the previous period’s high (sell signal), indicating potential reversals. A blue dot counter tracks consecutive buy signals, and a table displays the count and recommended action, helping traders decide whether to hold or flip positions. Key Components Period High/Low Levels: Tracks the highest high and lowest low for each period, plotting red lines for highs and green lines for lows from the bar where they occurred, extending for a user-defined length (default: 200 bars). Contrarian Signals: Generates buy signals (blue circles) when price crosses below the previous period’s low and sell signals (white circles) when price crosses above the previous period’s high, designed to capture potential reversals. Blue Dot Tracker: Counts consecutive buy signals (“blue dots”). If three or more occur, it suggests a stronger trend, with the table recommending whether to “Hold Investment” or “Flip Investment.” Action Table: A 2x2 table in the bottom-right corner displays the blue dot count and action (“Hold Investment” if count ≥ 4, else “Flip Investment”) for quick reference. Mathematical Concepts Period Detection: Uses an approximate bar count to define periods (1 bar for Daily, 5 bars for Weekly, 20 bars for Monthly on a daily chart). When a new period starts, the previous period’s high/low is finalized and plotted. High/Low Tracking: Highest high (periodHigh) and lowest low (periodLow) are updated within the period. Lines are drawn at these levels when the period ends, starting from the bar where the extreme occurred (periodHighBar, periodLowBar). Signal Logic: Buy signal: ta.crossunder(close , prevPeriodLow) and not lowBroken and barstate.isconfirmed Sell signal: ta.crossover(close , prevPeriodHigh) and not highBroken and barstate.isconfirmed Flags (highBroken, lowBroken) prevent multiple signals for the same level within a period. Blue Dot Counter: Increments on each buy signal, resets on a sell signal or if price exceeds the entry price after three or more buy signals. Entry and Exit Rules Buy Signal (Blue Circle): Triggered when the price crosses below the previous period’s low, suggesting a potential oversold condition and buying opportunity. The signal appears as a blue circle below the price bar. Sell Signal (White Circle): Triggered when the price crosses above the previous period’s high, indicating a potential overbought condition and selling opportunity. The signal appears as a white circle above the price bar. Blue Dot Tracker: Increments blueDotCount on each buy signal and sets an entryPrice on the first buy. Resets on a sell signal or if price exceeds entryPrice after three or more buy signals. If blueDotCount >= 3, the table suggests holding; if >= 4, it reinforces “Hold Investment.” Exit Rules: Exit a buy position on a sell signal or when price exceeds the entry price after three or more buy signals. Combine with other tools (e.g., trendlines, support/resistance) for additional confirmation. Always apply proper risk management. Recommended Usage The "Contrarian Period High & Low" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to the period bar count. It excels in markets with clear support/resistance levels and potential reversal zones. Traders should: Backtest the indicator on their chosen asset and timeframe to validate signal reliability. Combine with other technical tools (e.g., moving averages, Fibonacci levels) for stronger trade confirmation. Adjust barsPerPeriod (e.g., ~120 bars for Weekly on hourly charts) based on the chart timeframe and market volatility. Monitor the action table to guide position management based on blue dot counts. Customization Options Period Type: Choose between Daily, Weekly, or Monthly periods (default: Monthly). Line Length: Set the length of high/low lines in bars (default: 200). Show Highs/Lows: Toggle visibility of period high (red) and low (green) lines. Max Lines to Keep: Limit the number of historical lines displayed (default: 10). Hide Signals: Toggle buy/sell signal visibility for a cleaner chart. Table Display: A fixed table in the bottom-right corner shows the blue dot count and action, with yellow (Hold) or green (Flip) backgrounds based on the count. Why Use This Indicator? The "Contrarian Period High & Low" indicator offers a unique blend of support/resistance visualization and contrarian signal generation, making it a versatile tool for identifying potential reversals. Its clear visual cues (lines and signals), blue dot tracker, and actionable table provide traders with an intuitive way to monitor market structure and manage trades. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to spot key levels and time entries/exits effectively. Tips for Users Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust barsPerPeriod for non-daily charts). Use in conjunction with price action or other indicators for stronger trade setups. Monitor the action table to decide whether to hold or flip positions based on blue dot counts. Ensure your chart timeframe aligns with the selected period type (e.g., daily chart for Monthly periods). Apply strict risk management to protect against false breakouts. Happy trading with the Contrarian Period High & Low indicator! Share your feedback and strategies in the TradingView community!
Pine Script® インジケーター
chuckaschultzの投稿
Opening Range BoxThis indicator, called the "Opening Range Box," is a visual tool that helps you track the start of key trading sessions like London and New York. It does three main things: Finds the Daily 'First Move': It automatically calculates the High and Low reached during the first 30 minutes (or whatever time you set) of each defined session. Draws a Box: It immediately draws a colored, transparent box on your chart from the moment the session starts. This box acts as a clear reference for the session's initial boundaries. Extends the Levels: After the initial 30 minutes are over, the box stops growing vertically (it locks in the OR High/Low) but continues to stretch out horizontally for the rest of the trading session. This allows you to easily see how the price reacts to the opening levels throughout the day. In short: It visually highlights the most important price levels established at the very beginning of the major market sessions.
Pine Script® インジケーター
andrejsemjonovsの投稿
Multi-Oscillator Adaptive Kernel with MomentumMulti-Oscillator Adaptive Kernel w. Momentum An adaptation of the indicator by AlphaAlgos : Multi-Oscillator-Adaptive-Kernel (MOAK) with Divergence . Please find the description of the indicator in the above link. Apart from adding labels to show trend/momentum changes, the following changes have been made to the original script: 1. Sensitivity is used in the computation to scale the fast MOAK signal, 2. Selection between two indicator modes: Trending - (the original script method) assesses whether smoothed MOAK is above/below 0 - for up/down trends respectively. Momentum - assesses whether the fast MOAK signal is above/below the smoothed MOAK, and can be used to indicate potential trend reversals as momentum of current trend fades.
Pine Script® インジケーター
Conradiousの投稿
FX MAN PRO//@version=5 indicator(title="FCB Signals with SMA, Momentum & Stochastic", shorttitle="FCB+AllFilters+Stoch", overlay=true) // ---------- Inputs ---------- Pattern = input.int(1, "Pattern Length", minval=1) showSignals = input.bool(true, "Show Buy/Sell Signals") signalOffset = input.int(0, "Signal Offset", minval=-5, maxval=5) smaFastLength = input.int(7, "SMA Fast") smaSlowLength = input.int(21, "SMA Slow") momentumLength = input.int(10, "Momentum Length") // ---------- Stochastic Inputs ---------- stochKLength = input.int(14, "Stoch K Length") stochDLength = input.int(3, "Stoch D Length") stochSmooth = input.int(3, "Stoch Smooth") stochOverbought = input.int(80, "Overbought Level") stochOversold = input.int(20, "Oversold Level") // ---------- Fractal Functions ---------- fractalUp(pattern) => p = high okl = 1 okr = 1 res = 0.0 for i = pattern to 1 okl := high < high and okl == 1 ? 1 : 0 for i = pattern + 2 to pattern * 2 + 1 okr := high < high and okr == 1 ? 1 : 0 res := okl == 1 and okr == 1 ? p : res res fractalDn(pattern) => p = low okl = 1 okr = 1 res = 0.0 for i = pattern to 1 okl := low > low and okl == 1 ? 1 : 0 for i = pattern + 2 to pattern * 2 + 1 okr := low > low and okr == 1 ? 1 : 0 res := okl == 1 and okr == 1 ? p : res res // ---------- Compute ---------- xUpper = fractalUp(Pattern) xLower = fractalDn(Pattern) // ---------- Hide FCB ---------- plot(xUpper, color=na, title="FCB Up") plot(xLower, color=na, title="FCB Down") // ---------- Candle Analysis ---------- body = math.abs(close - open) shadowTop = high - math.max(open, close) shadowBot = math.min(open, close) - low strongBody = body > (shadowTop + shadowBot) isGreen = close > open isRed = close < open // ---------- SMA ---------- smaFast = ta.sma(close, smaFastLength) smaSlow = ta.sma(close, smaSlowLength) // ---------- Momentum ---------- momentumValue = ta.mom(close, momentumLength) // ---------- Stochastic ---------- kLine = ta.sma(ta.stoch(close, high, low, stochKLength), stochSmooth) dLine = ta.sma(kLine, stochDLength) // ---------- Stochastic Direction ---------- kUp = kLine > kLine dUp = dLine > dLine kDown = kLine < kLine dDown = dLine < dLine // ---------- Check Stochastic Neutral ---------- inNeutral = (kLine < stochOverbought and kLine > stochOversold) and (dLine < stochOverbought and dLine > stochOversold) // ---------- First Candle Signal Logic ---------- var bool buyActive = false var bool sellActive = false buyCond = close > xUpper and strongBody and isGreen and smaFast > smaSlow and momentumValue > momentumValue and kUp and dUp and inNeutral sellCond = close < xLower and strongBody and isRed and smaFast < smaSlow and momentumValue < momentumValue and kDown and dDown and inNeutral buySignal = buyCond and not buyActive sellSignal = sellCond and not sellActive buyActive := buyCond ? true : not buyCond ? false : buyActive sellActive := sellCond ? true : not sellCond ? false : sellActive // ---------- Plot Signals with golden text ---------- plotshape(showSignals and buySignal, title="Buy Signal", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny, text="BUY", textcolor=color.new(color.yellow, 0), // طلایی offset=signalOffset) plotshape(showSignals and sellSignal, title="Sell Signal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny, text="SELL", textcolor=color.new(color.yellow, 0), // طلایی offset=signalOffset)
Pine Script® インジケーター
avxcsaの投稿
EMA/SMA Market Indicator V1 (Situational Awareness Uptrend)Red condition (highest priority in code) Background = red if any of these are true: Close < 10MA OR Close < 20MA OR (10MA and 20MA slopes ≤ threshold → “flat/down”) Green condition (only if not red) Background = green if: (Close > 10MA or Close > 20MA) AND Close > 50MA Otherwise = nothing (transparent) If neither red nor green is true → background is off. So when is there no background? Close is not below 10MA Close is not below 20MA MAs are not both flat/down AND the price fails the “green test” (ex. under 50MA, or not above 10/20).
Pine Script® インジケーター
rienohtradeの投稿
Best MA Finder: Sharpe/Sortino ScannerThis script, Best MA Finder: Sharpe/Sortino Scanner, is a tool designed to identify the moving average (SMA or EMA) that best acts as a dynamic trend threshold on a chart, based on risk-adjusted historical performance. It scans a wide range of MA lengths (SMA or EMA) and selects the one whose simple price vs MA crossover delivered the strongest results using either the Sharpe ratio or the Sortino ratio. Reading it is intuitive: when price spent time above the selected MA, conditions were on average more favorable in the backtest; below, less favorable. It is a trend and risk gauge, not an overbought or oversold signal. What it does: - Runs individual long-only crossover backtests for many MA lengths across short to very long horizons. - For each length, measures the total number of trades, the annualized Sharpe ratio, and the annualized Sortino ratio. - Uses the chosen metric value (Sharpe or Sortino) as the score to rank candidates. - Applies a minimum trade filter to discard statistically weak results. - Optionally applies a local stability filter to prefer a length that also outperforms its close neighbors by at least a small margin. - Selects the optimal MA and displays it on the chart with a concise summary table. How to use it: - Choose MA type: SMA or EMA. - Choose the metric: Sharpe or Sortino. - Set the minimum trade count to filter out weak samples. - Select the risk-free mode: Auto: uses a short-term risk-free rate for USD-priced symbols when available. Manual: you provide a risk-free ticker. None: no risk-free rate. - Optionally enable stability controls: neighbor radius and epsilon. - Toggle the on-chart summary table as needed. On-chart output: - The selected optimal MA is plotted. - The optional table shows MA length, number of trades, chosen metric value annualized, and the annual risk-free rate used. Key features: - Risk-adjusted optimization via Sharpe or Sortino for fair, comparable assessment. - Broad MA scan with SMA and EMA support. - Optional stability filter to avoid one-off spikes. - Clear and auditable presentation directly on the chart. Use cases: - Traders who want a defensible, data-driven trend threshold without manual trial and error. - Swing and trend-following workflows across timeframes and asset classes. - Quick SMA vs EMA comparisons using risk-adjusted results. Limitations: - Not a full trading strategy with position sizing, costs, funding, slippage, or stops. - Long-only, one position at a time. - Discrete set of MA lengths, not a continuous optimizer. - Requires sufficient price history and, if used, a reliable risk-free series. This script is open-source and built from original logic. It does not replicate closed-source scripts or reuse significant external components.
Pine Script® インジケーター
Julien_Echeの投稿
2
Smart Money Support/Resistance — LiteSmart Money Support/Resistance — Lite Overview & Methodology This indicator identifies support and resistance as zones derived from concentrated buying and selling pressure, rather than relying solely on traditional swing highs/lows. Its design focuses on transparency: how data is sourced, how zones are computed, and how the on‑chart display should be interpreted. Lower‑Timeframe (LTF) Data The script requests Up Volume, Down Volume, and Volume Delta from a lower timeframe to expose intrabar order‑flow structure that the chart’s native timeframe cannot show. In practical terms, this lets you see where buyers or sellers briefly dominated inside the body of a higher‑timeframe bar. bool use_custom_tf_input = input.bool(true, title="Use custom lower timeframe", tooltip="Override the automatically chosen lower timeframe for volume calculations.", group=grpVolume) string custom_tf_input = input. Timeframe("1", title="Lower timeframe", tooltip="Lower timeframe used for up/down volume calculations (default 5 seconds).", group=grpVolume) import TradingView/ta/10 as tvta resolve_lower_tf(useCustom, customTF) => useCustom ? customTF : timeframe.isseconds ? "1S" : timeframe.isintraday ? "1" : timeframe.isdaily ? "5" : "60" get_up_down_volume(lowerTf) => = tvta.requestUpAndDownVolume(lowerTf) var float upVolume = na var float downVolume = na var float deltaVolume = na string lower_tf = resolve_lower_tf(use_custom_tf_input, custom_tf_input) = get_up_down_volume(lower_tf) upVolume := u_tmp downVolume := d_tmp deltaVolume := dl_tmp • Data source: TradingView’s ta.requestUpAndDownVolume(lowerTf) via the official TA library. • Plan capabilities: higher‑tier subscriptions unlock seconds‑based charts and allow more historical bars per chart. This expands both the temporal depth of LTF data and the precision of short‑horizon analysis, while base tiers provide minute‑level data suitable for day/short‑swing studies. • Coverage clarity: a small on‑chart Coverage Panel reports the active lower timeframe, the number of bars covered, and the latest computed support/resistance ranges so you always know the bounds of valid LTF input. Core Method 1) Data acquisition (LTF) The script retrieves three series from the chosen lower timeframe: – Up Volume (buyers) – Down Volume (sellers) – Delta (Up – Down) 2) Rolling window & extrema Over a user‑defined lookback (Global Volume Period), the algorithm builds rolling arrays of completed bars and scans for extrema: – Buyers_max / Buyers_min from Up Volume – Sellers_max / Sellers_min from Down Volume Only completed bars are considered; the current bar is excluded for stability. 3) Price mapping The extrema are mapped back to their source candles to obtain price bounds: – For “maximum” roles the algorithm uses the relevant candle highs. – For “minimum” roles it uses the relevant candle lows. These pairs define candidate resistance (max‑based) and support (min‑based) zones or vice versa. 4) Zone construction & minimum width To ensure practicality on all symbols, zones enforce a minimum vertical thickness of two ticks. This prevents visually invisible or overly thin ranges on instruments with tight ticks. 5) Vertical role resolution When both max‑ and min‑based zones exist, the script compares their midpoints. If, due to local price structure, the min‑based zone sits above the max‑based zone, display roles are swapped so the higher zone is labeled Resistance and the lower zone Support. Colors/widths are updated accordingly to keep the visual legend consistent. 6) Rendering & panel Two horizontal lines and a filled box represent each active zone. The Coverage Panel (bottom‑right by default) prints: – Lower‑timeframe in use – Number of bars covered by LTF data – Current Support and Resistance ranges If the two zones overlap, an additional “Range Market” note is shown. Key Inputs • Global Volume Period: shared lookback window for the extrema search. • Lower timeframe: user‑selectable override of the automatically resolved lower timeframe. • Visualization toggles: independent show/hide controls and colors for maximum (resistance) and minimum (support) zones. • Coverage Panel: enable/disable the single‑cell table and its readout. Operational Notes • The algorithm aligns all lookups to completed bars (no peeking). Price references are shifted appropriately to avoid using the still‑forming bar in calculations. • Second‑based lower timeframes improve granularity for scalping and very short‑term entries. Minute‑based lower timeframes provide broader coverage for intraday and short‑swing contexts. • Use the Coverage Panel to confirm the true extent of available LTF history on your symbol/plan before drawing conclusions from very deep lookbacks. Visual Walkthrough A step‑by‑step image sequence accompanies this description. Each figure demonstrates how the indicator reads LTF volume, locates extrema, builds price‑mapped zones, and updates labels/colors when vertical order requires it. Chart Interpretation This chart illustrates two distinct perspectives of the Smart Money Support/Resistance — Lite indicator, each derived from different lookback horizons and lower-timeframe (LTF) resolutions. 1- Short-term view (43 bars, 10-second LTF) Using the most recent 43 completed bars with 10-second intrabar data, the algorithm detects that both maximum and minimum volume extrema fall within a narrow range. The result is a clearly identified range market: resistance between 178.15–184.55 and support between 175.02–179.38. The Coverage Panel (bottom-right) confirms the scope of valid input: the lower timeframe used, number of bars covered, and the resulting zones. This short-term scan highlights how the indicator adapts to limited data depth, flagging sideways structure where neither side dominates. 2 - Long-term view (120 bars, 30-second LTF) Over a wider 120-bar lookback with higher-granularity 30-second data, broader supply and demand zones emerge. – The long-term resistance zone captures the concentration of buyers and sellers at the upper boundary of recent price history. – The long-term support zone anchors to the opposite side of the distribution, derived from maxima and minima of both buying and selling pressure. These zones reflect deeper structural levels where market participants previously committed significant volume. Combined Perspective By aligning the short-term and long-term outputs, the chart shows how the indicator distinguishes immediate consolidation (range market) from more durable support and resistance levels derived from extended history. This dual resolution approach makes clear that support and resistance are not static lines but dynamic zones, dependent on both timeframe depth and the resolution of intrabar volume data.
Pine Script® インジケーター
ata_sabanciの投稿
Z-Score Trend Channels [BackQuant]Z-Score Trend Channels A self-contained price-statistics framework that turns a rolling z-score into price channels, bias states, and trade markers. Run either trend-following or mean-reversion from the same tool with clear, on-chart context. What it is A rolling statistical map that measures how far price is from its recent average in standard-deviation units (z-score). Adaptive channels drawn in price space from fixed z thresholds, so the rails breathe with volatility. A simple trend proxy from z-score momentum to separate trending from ranging conditions. On-chart signals for pullback entries, stretched extremes, and practical exits. Core idea (plain English math) Rolling mean and volatility - Over a lookback you get the average price and its standard deviation. Z-score - How many standard deviations the current price is above or below its average: z = (price - mean) / stdev. z near 0 means near average; positive is above; negative is below. Noise control - An EMA smooths the raw z to reduce jitter and false flickers. Channels back in price - Fixed z levels are converted back to price to form the upper, lower, and extreme rails. Trend proxy - A smoothed change in z is used as a lightweight trend-strength line. Positive strength with positive z favors uptrend; negative strength with negative z favors downtrend. What you see on the chart Channels and fills - Mean, upper, lower, and optional extreme lines. The area mean->upper tints with the bearish color, mean->lower tints with the bullish color. Background tint (optional) - Soft green, red, or neutral based on detected trend state. Signals - Bullish Entry (triangle up) when z exits the oversold zone upward; Bearish Entry (triangle down) when z exits the overbought zone downward; Extreme markers (diamonds) at the extreme bands with a one-bar turn. Table - Current z, trend state, trend strength, distance to bands, market state tag, and a quick volatility regime label. Edge labels - MEAN, OB, and OS labels slightly projected forward with level values. Inputs you will actually use Z-Score Period - Lookback for mean and stdev. Larger = slower and steadier rails, smaller = more reactive. Smoothing Period - EMA on z. Lower = earlier but choppier flips; higher = later but cleaner. Price Source - Default hlc3. Choose close if you prefer session-close logic. Upper and Lower Thresholds - Default around +2.0 and -2.0. Tighten for more signals, widen for fewer and stronger. Extreme Upper and Lower - Deeper stretch guards, e.g., +/- 2.5. Strength Period - EMA on z momentum. Sets how fast the trend proxy flips. Trend Threshold - Minimum absolute z to accept a directional bias. Visual toggles - Channels, signals, background tint, stats table, colors, and optional last-bar trend label. How to use it: trend-following playbook Read the state - Uptrend when z > Trend Threshold and trend strength > 0. Downtrend when z < -Trend Threshold and trend strength < 0. Neutral otherwise. Entries - In an uptrend, prefer Bullish Entry signals that fire near the lower channel. In a downtrend, prefer Bearish Entry signals that fire near the upper channel. Stops - Conservative: beyond the extreme channel on your side. Tighter: just outside the standard band that framed the signal. Exits - For longs, exit or trim on a cross back through z = 0 or a clean tag of the upper threshold. For shorts, mirror with z = 0 up-cross or tag of the lower threshold. You can also reduce if trend strength flips against you. Adds - In strong trends, additional signals near your side’s band can be add points. Avoid adding once z hovers near the opposite band for several bars. How to use it: mean-reversion playbook Find stretch - Standard reversions: Bullish Entry when z leaves the oversold zone upward; Bearish Entry when z leaves the overbought zone downward. Aggressive reversions: Extreme markers at extreme bands with a one-bar turn. Entries - Take the signal as price exits the zone. Prefer setups where trend strength is near zero or tilting against the prior push. Targets - First target is the mean line. A runner can aim for the opposite standard channel if momentum keeps flipping. Stops - Outside the extreme band beyond your entry. If fading without extremes, place risk just beyond the opposite standard band. Filters - Optional: skip counter-trend fades against a very strong trend state unless your risk is tight and predefined. Reading the stats table Current Z-Score - Magnitude and sign of displacement now. Trend State - Uptrend, Downtrend, or Ranging. Trend Strength - Smoothed z momentum. Higher absolute values imply stronger directional conviction. Distance to Upper/Lower - Percent distance from price to each band, useful for sizing targets or judging room left. Market State - Overbought, Oversold, Extreme OB, Extreme OS, or Normal. Volatility Regime - High, Normal, or Low relative to recent distribution. Expect bands to widen in High and tighten in Low. Parameter guidance (conceptual) Z-Score Period - Choose longer for a structural mean, shorter for a reactive mean. Smoothing Period - Lower for earlier but noisier reads; higher for slower but steadier reads. Thresholds - Start around +/- 2.0. Tighten for scalping or quiet ranges. Widen for noisy or fast markets. Trend Threshold and Strength Period - Raise to avoid weak, transient bias. Lower to capture earlier regime shifts. Practical examples Trend pullback long - State shows Uptrend. Price tests the lower channel; z dips near or below the lower threshold; a Bullish Entry prints. Stop just below extreme lower; first target mean; keep a runner if trend strength stays positive. Mean-revert short - State is Ranging. z tags the extreme upper, an Extreme Bearish marker prints, then a Bearish Entry prints on the leave. Stop above extreme upper; target the mean; consider a runner toward the lower channel if strength turns negative. Potential Questions you might have Why z-score instead of fixed offsets - Because the bands adapt with volatility. When the tape gets quiet the rails tighten, when it runs hot the rails expand. Your entries stay normalized. Do I need both modes - No. Many users run only trend pullbacks or only mean-reversions. The tool lets you toggle what you need and keep the chart readable. Multi-timeframe workflow - A common approach is to set bias from a higher timeframe’s trend state and execute on a lower timeframe’s signals that align with it. Summary Z-Score Trend Channels gives you an adaptive mean, volatility-aware rails, a simple trend lens, and clear signals. Trade the trend by buying pullbacks in green and selling pullbacks in red, or fade stretched extremes back to the mean with defined risk. One framework, two strategies, consistent logic.
Pine Script® インジケーター
BackQuantの投稿