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指标和策略

Custom MTF EMA CloudsVisualize market structure and trend alignment across multiple timeframes with six layered EMA clouds — from short-term momentum to macro trend anchors. Each pair of EMAs forms a dynamic cloud that adapts to your selected timeframe. Colors, lengths, and visibility are fully customizable, allowing you to tailor the setup for any trading style. ⚙️ Default Configuration EMA Short Long Purpose 1 8 13 🔸 Intraday momentum cloud (scalping layer) 2 21 24 🟩 Short-term trend confirmation 3 50 55 🔵 Medium-term swing structure 4 120 144 🔴 Long-term support/resistance band 5 200 238 🟠 Institutional trend foundation 6 400 460 🟣 Macro directional anchor 🧩 Features ✅ Up to 6 independent EMA clouds ✅ Fully customizable short & long lengths ✅ Individual line and cloud colors ✅ Toggle each layer on/off ✅ Works with any timeframe via the Resolution input ✅ Automatic cloud transparency for better chart clarity 📈 How to Use Use EMA 1–2 (8/13, 21/24) for momentum shifts and intraday entries. Use EMA 3–4 (50/55, 120/144) for swing confirmation and trend continuation. Use EMA 5–6 (200/238, 400/460) as long-term anchors to stay aligned with institutional flow. Watch for crossovers or price breaking in/out of clouds — they often precede strong directional moves.
Pine Script®指标
由shortbigly提供
RSI// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © xdecow //@version=5 indicator("RSI", overlay=true) g_panel = 'Panel Options' i_orientation = input.string('Vertical', 'Orientation', options = , group = g_panel) i_position = input.string('Bottom Right', 'Position', options = , group = g_panel) i_border_width = input.int(1, 'Border Width', minval = 0, maxval = 10, group = g_panel, inline = 'border') i_color_border = input.color(#000000, '', group = g_panel, inline = 'border') i_showHeaders = input.bool(true, 'Show Headers', group = g_panel) i_color_header_bg = input.color(#5d606b, 'Headers Background', group = g_panel, inline = 'header') i_color_header_text = input.color(color.white, 'Text', group = g_panel, inline = 'header') i_color_tf_bg = input.color(#2a2e39, 'Timeframe Background', group = g_panel, inline = 'tf') i_color_tf_text = input.color(color.white, 'Text', group = g_panel, inline = 'tf') i_debug = input.bool(false, 'Display colors palette (debug)', group = g_panel) // rsi bg colors g_rsi = 'RSI Colors' i_threshold_ob = input.int(70, 'Overbought Threshold', minval=51, maxval=100, group = g_rsi) i_color_ob = input.color(#128416, 'Overbought Background', inline = 'ob', group = g_rsi) i_tcolor_ob = input.color(color.white, 'Text', inline = 'ob', group = g_rsi) i_threshold_uptrend = input.int(60, 'Uptrend Threshold', minval=51, maxval=100, group = g_rsi) i_color_uptrend = input.color(#2d472e, 'Uptrend Background', inline = 'up', group = g_rsi) i_tcolor_uptrend = input.color(color.white, 'Text', inline = 'up', group = g_rsi) i_color_mid = input.color(#131722, 'No Trend Background', group = g_rsi, inline = 'mid') i_tcolor_mid = input.color(#b2b5be, 'Text', group = g_rsi, inline = 'mid') i_threshold_downtrend = input.int(40, 'Downtrend Threshold', group = g_rsi, minval=0, maxval=49) i_color_downtrend = input.color(#5b2e2e, 'Downtrend Background', group = g_rsi, inline = 'down') i_tcolor_downtrend = input.color(color.white, 'Text', group = g_rsi, inline = 'down') i_threshold_os = input.int(30, 'Oversold Threshold', minval=0, maxval=49, group = g_rsi) i_color_os = input.color(#db3240, 'Oversold Background', group = g_rsi, inline = 'os') i_tcolor_os = input.color(color.white, 'Text', group = g_rsi, inline = 'os') g_rsi1 = 'RSI #1' i_rsi1_enabled = input.bool(true, title = 'Enabled', group = g_rsi1) i_rsi1_tf = input.timeframe('5', 'Timeframe', group = g_rsi1) i_rsi1_len = input.int(14, 'Length', minval = 1, group = g_rsi1) i_rsi1_src = input.source(close, 'Source', group = g_rsi1) * 10000 v_rsi1 = i_rsi1_enabled ? request.security(syminfo.tickerid, i_rsi1_tf, ta.rsi(i_rsi1_src, i_rsi1_len)) : na g_rsi2 = 'RSI #2' i_rsi2_enabled = input.bool(true, title = 'Enabled', group = g_rsi2) i_rsi2_tf = input.timeframe('15', 'Timeframe', group = g_rsi2) i_rsi2_len = input.int(14, 'Length', minval = 1, group = g_rsi2) i_rsi2_src = input.source(close, 'Source', group = g_rsi2) * 10000 v_rsi2 = i_rsi2_enabled ? request.security(syminfo.tickerid, i_rsi2_tf, ta.rsi(i_rsi2_src, i_rsi2_len)) : na g_rsi3 = 'RSI #3' i_rsi3_enabled = input.bool(true, title = 'Enabled', group = g_rsi3) i_rsi3_tf = input.timeframe('60', 'Timeframe', group = g_rsi3) i_rsi3_len = input.int(14, 'Length', minval = 1, group = g_rsi3) i_rsi3_src = input.source(close, 'Source', group = g_rsi3) * 10000 v_rsi3 = i_rsi3_enabled ? request.security(syminfo.tickerid, i_rsi3_tf, ta.rsi(i_rsi3_src, i_rsi3_len)) : na g_rsi4 = 'RSI #4' i_rsi4_enabled = input.bool(true, title = 'Enabled', group = g_rsi4) i_rsi4_tf = input.timeframe('240', 'Timeframe', group = g_rsi4) i_rsi4_len = input.int(14, 'Length', minval = 1, group = g_rsi4) i_rsi4_src = input.source(close, 'Source', group = g_rsi4) * 10000 v_rsi4 = i_rsi4_enabled ? request.security(syminfo.tickerid, i_rsi4_tf, ta.rsi(i_rsi4_src, i_rsi4_len)) : na g_rsi5 = 'RSI #5' i_rsi5_enabled = input.bool(true, title = 'Enabled', group = g_rsi5) i_rsi5_tf = input.timeframe('D', 'Timeframe', group = g_rsi5) i_rsi5_len = input.int(14, 'Length', minval = 1, group = g_rsi5) i_rsi5_src = input.source(close, 'Source', group = g_rsi5) * 10000 v_rsi5 = i_rsi5_enabled ? request.security(syminfo.tickerid, i_rsi5_tf, ta.rsi(i_rsi5_src, i_rsi5_len)) : na g_rsi6 = 'RSI #6' i_rsi6_enabled = input.bool(true, title = 'Enabled', group = g_rsi6) i_rsi6_tf = input.timeframe('W', 'Timeframe', group = g_rsi6) i_rsi6_len = input.int(14, 'Length', minval = 1, group = g_rsi6) i_rsi6_src = input.source(close, 'Source', group = g_rsi6) * 10000 v_rsi6 = i_rsi6_enabled ? request.security(syminfo.tickerid, i_rsi6_tf, ta.rsi(i_rsi6_src, i_rsi6_len)) : na g_rsi7 = 'RSI #7' i_rsi7_enabled = input.bool(false, title = 'Enabled', group = g_rsi7) i_rsi7_tf = input.timeframe('W', 'Timeframe', group = g_rsi7) i_rsi7_len = input.int(14, 'Length', minval = 1, group = g_rsi7) i_rsi7_src = input.source(close, 'Source', group = g_rsi7) * 10000 v_rsi7 = i_rsi7_enabled ? request.security(syminfo.tickerid, i_rsi7_tf, ta.rsi(i_rsi7_src, i_rsi7_len)) : na g_rsi8 = 'RSI #8' i_rsi8_enabled = input.bool(false, title = 'Enabled', group = g_rsi8) i_rsi8_tf = input.timeframe('W', 'Timeframe', group = g_rsi8) i_rsi8_len = input.int(14, 'Length', minval = 1, group = g_rsi8) i_rsi8_src = input.source(close, 'Source', group = g_rsi8) * 10000 v_rsi8 = i_rsi8_enabled ? request.security(syminfo.tickerid, i_rsi8_tf, ta.rsi(i_rsi8_src, i_rsi8_len)) : na g_rsi9 = 'RSI #9' i_rsi9_enabled = input.bool(false, title = 'Enabled', group = g_rsi9) i_rsi9_tf = input.timeframe('W', 'Timeframe', group = g_rsi9) i_rsi9_len = input.int(14, 'Length', minval = 1, group = g_rsi9) i_rsi9_src = input.source(close, 'Source', group = g_rsi9) * 10000 v_rsi9 = i_rsi9_enabled ? request.security(syminfo.tickerid, i_rsi9_tf, ta.rsi(i_rsi9_src, i_rsi9_len)) : na g_rsi10 = 'RSI #10' i_rsi10_enabled = input.bool(false, title = 'Enabled', group = g_rsi10) i_rsi10_tf = input.timeframe('W', 'Timeframe', group = g_rsi10) i_rsi10_len = input.int(14, 'Length', minval = 1, group = g_rsi10) i_rsi10_src = input.source(close, 'Source', group = g_rsi10) * 10000 v_rsi10 = i_rsi10_enabled ? request.security(syminfo.tickerid, i_rsi10_tf, ta.rsi(i_rsi10_src, i_rsi10_len)) : na f_StrPositionToConst(_p) => switch _p 'Top Left' => position.top_left 'Top Right' => position.top_right 'Top Center' => position.top_center 'Middle Left' => position.middle_left 'Middle Right' => position.middle_right 'Middle Center' => position.middle_center 'Bottom Left' => position.bottom_left 'Bottom Right' => position.bottom_right 'Bottom Center' => position.bottom_center => position.bottom_right f_timeframeToHuman(_tf) => seconds = timeframe.in_seconds(_tf) if seconds < 60 _tf else if seconds < 3600 str.tostring(seconds / 60) + 'm' else if seconds < 86400 str.tostring(seconds / 60 / 60) + 'h' else switch _tf "1D" => "D" "1W" => "W" "1M" => "M" => str.tostring(_tf) type TPanel table src = na bool vertical_orientation = true int row = 0 int col = 0 method incCol(TPanel _panel) => if _panel.vertical_orientation _panel.col += 1 else _panel.row += 1 method incRow(TPanel _panel) => if not _panel.vertical_orientation _panel.col += 1 _panel.row := 0 else _panel.row += 1 _panel.col := 0 method add(TPanel _panel, string _v1, color _bg1, color _ctext1, string _v2, color _bg2, color _ctext2) => table.cell(_panel.src, _panel.col, _panel.row, _v1, text_color = _ctext1, bgcolor = _bg1) _panel.incCol() table.cell(_panel.src, _panel.col, _panel.row, _v2, text_color = _ctext2, bgcolor = _bg2) _panel.incRow() f_bg(_rsi) => c_line = na(_rsi) ? i_color_mid : _rsi >= i_threshold_ob ? i_color_ob : _rsi >= i_threshold_uptrend ? i_color_uptrend : _rsi <= i_threshold_os ? i_color_os : _rsi <= i_threshold_downtrend ? i_color_downtrend : i_color_mid f_rsi_text_color(_rsi) => c_line = na(_rsi) ? i_tcolor_mid : _rsi >= i_threshold_ob ? i_tcolor_ob : _rsi >= i_threshold_uptrend ? i_tcolor_uptrend : _rsi <= i_threshold_os ? i_tcolor_os : _rsi <= i_threshold_downtrend ? i_tcolor_downtrend : i_tcolor_mid f_formatRsi(_rsi) => na(_rsi) ? 'N/A' : str.tostring(_rsi, '0.00') if barstate.islast v_panel = TPanel.new(vertical_orientation = i_orientation == 'Vertical') v_max_rows = 20 v_panel.src := table.new(f_StrPositionToConst(i_position), v_max_rows, v_max_rows, border_width = i_border_width, border_color = i_color_border) if i_showHeaders v_panel.add('TF', i_color_header_bg, i_color_header_text, 'RSI', i_color_header_bg, i_color_header_text) if i_rsi1_enabled v_panel.add(f_timeframeToHuman(i_rsi1_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi1), f_bg(v_rsi1), f_rsi_text_color(v_rsi1)) if i_rsi2_enabled v_panel.add(f_timeframeToHuman(i_rsi2_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi2), f_bg(v_rsi2), f_rsi_text_color(v_rsi2)) if i_rsi3_enabled v_panel.add(f_timeframeToHuman(i_rsi3_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi3), f_bg(v_rsi3), f_rsi_text_color(v_rsi3)) if i_rsi4_enabled v_panel.add(f_timeframeToHuman(i_rsi4_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi4), f_bg(v_rsi4), f_rsi_text_color(v_rsi4)) if i_rsi5_enabled v_panel.add(f_timeframeToHuman(i_rsi5_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi5), f_bg(v_rsi5), f_rsi_text_color(v_rsi5)) if i_rsi6_enabled v_panel.add(f_timeframeToHuman(i_rsi6_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi6), f_bg(v_rsi6), f_rsi_text_color(v_rsi6)) if i_rsi7_enabled v_panel.add(f_timeframeToHuman(i_rsi7_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi7), f_bg(v_rsi7), f_rsi_text_color(v_rsi7)) if i_rsi8_enabled v_panel.add(f_timeframeToHuman(i_rsi8_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi8), f_bg(v_rsi8), f_rsi_text_color(v_rsi8)) if i_rsi9_enabled v_panel.add(f_timeframeToHuman(i_rsi9_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi9), f_bg(v_rsi9), f_rsi_text_color(v_rsi9)) if i_rsi10_enabled v_panel.add(f_timeframeToHuman(i_rsi10_tf), i_color_tf_bg, i_color_tf_text, f_formatRsi(v_rsi10), f_bg(v_rsi10), f_rsi_text_color(v_rsi10)) if i_debug t = table.new(position.middle_center, 21, 20, border_width = i_border_width, border_color = i_color_border) v_panel2 = TPanel.new(t, vertical_orientation = i_orientation == 'Vertical') v_panel2.add('Debug', i_color_header_bg, i_color_header_text, 'Colors', i_color_header_bg, i_color_header_text) demo = map.new() map.put(demo, 'Overbought', i_threshold_ob) map.put(demo, 'Uptrend', i_threshold_uptrend) map.put(demo, 'No Trend', 50) map.put(demo, 'Downtrend', i_threshold_downtrend) map.put(demo, 'Oversold', i_threshold_os) demoKeys = map.keys(demo) for key in demoKeys tf = key rsi = map.get(demo, key) v_panel2.add(tf, i_color_tf_bg, i_color_tf_text, f_formatRsi(rsi), f_bg(rsi), f_rsi_text_color(rsi))
Pine Script®指标
由ghirad提供
Smart Weekly Lines — Clean & Scroll-Proof (Pine v6)Because your chart deserves structure. Elegant weekly dividers that stay aligned, scroll smoothly, and project future weeks using your wished UTC offset. Smart Weekly Lines draws precise, full-height vertical lines marking each new week — perfectly aligned to your local UTC offset. It stays clean, smooth, and consistent no matter how far you scroll. Features • Accurate weekly boundaries based on your local UTC offset (supports half-hour zones like India +5.5) • Clean, full-height lines that never cut off with zoom or scroll • Adjustable color, opacity, width, and style (solid, dashed, dotted) • Future week projection for planning and alignment • Optional visibility: show only on Daily and Intraday charts Works with any market — stocks, crypto, forex, or futures. Built for traders who value clarity, structure, and precision. Developed collaboratively with the assistance of ChatGPT under my direction and testing.
Pine Script®指标
由pgianpy提供
Aggregated Long Short Ratio (Binance + Bybit)This indicator displays the Long/Short Ratio (LSR) from Binance and Bybit exchanges, plus an aggregated average. LSR shows the ratio between traders holding long positions vs short positions. Settings AvailableExchanges Group: ☑️Show Binance - Display Binance LSR line ☑️ Show Bybit - Display Bybit LSR line ☑️ Show Aggregated LSR - Display combined average Timeframe - Choose data timeframe (leave empty for chart timeframe) Visualization Group: 🎨 Binance Color - Default: Yellow 🎨 Bybit Color - Default: Orange 🎨 Aggregated Color - Default: White 📖 How to Read the Indicator ⚠️ CRITICAL: Always analyze LSR together with Open Interest (OI) Key Levels: LSR = 1.0 (gray dashed line) = Balance - Equal longs and shorts LSR > 1.0 = More longs than shorts (bullish sentiment) LSR < 1.0 = More shorts than longs (bearish sentiment) Extreme Zones: LSR > 1.5 (green zone) = Very bullish - Possible market top LSR < 0.5 (red zone) = Very bearish - Possible market bottom Why Open Interest Matters: LSR alone doesn't tell the full story. You MUST check Open Interest: Rising OI + High LSR (>1.5) = New longs opening → Strong momentum OR potential trap Rising OI + Low LSR (<0.5) = New shorts opening → Strong momentum OR potential trap Falling OI + Extreme LSR = Positions closing → Weak signal, avoid trading Stable OI + Extreme LSR = No new positions → Less reliable signal 💡 Trading Interpretation ⚠️ ALWAYS combine LSR with Open Interest analysis! Contrarian Strategy (High Leverage Zones): High LSR (>1.5) + Rising OI → Many new longs → Potential short squeeze OR reversal down Low LSR (<0.5) + Rising OI → Many new shorts → Potential long squeeze OR reversal up Trend Confirmation: Rising LSR + Rising price + Rising OI = Strong bullish trend with new positions Falling LSR + Falling price + Rising OI = Strong bearish trend with new positions Weak Signals (Avoid): Extreme LSR + Falling OI = Positions closing → Low conviction Extreme LSR + Stable OI = No new money → Wait for confirmation Divergences: Price higher highs but LSR falling + Rising OI = Bearish divergence (shorts accumulating) Price lower lows but LSR rising + Rising OI = Bullish divergence (longs accumulating) Best Setups: Reversal: Extreme LSR (>1.5 or <0.5) + Rising OI + Price rejection Trend: LSR trending with price + Steadily rising OI Caution: Extreme LSR + Falling OI = Ignore signal Built-in Alerts The indicator includes 4 preset alerts: LSR Crossed Above 1.0 - Market turned bullish LSR Crossed Below 1.0 - Market turned bearish LSR Very High - Above 1.5 (possible top) LSR Very Low - Below 0.5 (possible bottom) To Set Up Alerts: Click the "..." on the indicator Select "Add Alert" Choose the condition you want Configure notification method Best Practices MANDATORY: Always add Open Interest indicator to your chart alongside LSR To add OI: Click Indicators → Search "Open Interest" → Add official TradingView OI Use on perpetual futures charts (symbols ending in .P) Works best on USDT pairs (BTCUSDT, ETHUSDT, etc.) Combine LSR + OI + price action + support/resistance levels Higher timeframes (4h, 1D) give more reliable signals Don't trade LSR extremes without confirming OI direction Golden Rule: Rising OI = Strong signal | Falling OI = Weak signal ⚠️ Important Notes Indicator requires TradingView Premium or above (uses Request library) Only works on crypto perpetual futures Data availability depends on exchange API NA values mean data is not available for that exchange/symbol Never use LSR without Open Interest context
Pine Script®指标
由carlosbucci提供
Timebender – 369 PivotsTimebender – 369 Pivots is a clean visual study that marks swing highs and lows with numeric “369-sequence” digits derived from time. Each digit is automatically color-coded into Accumulation (1 – 3), Manipulation (4 – 6), and Distribution (7 – 9) phases, helping traders identify rhythm and symmetry in market structure. Labels float above or below bars for clear visibility and never overlap price, allowing smooth zoom and multi-timeframe use. This base model focuses on clarity, precision, and efficient plotting — no toggles, no clutter — a stable foundation for future Timebender builds.
Pine Script®指标
由bon_appetrade提供
Adaptive Vol Gauge [ParadoxAlgo]This is an overlay tool that measures and shows market ups and downs (volatility) based on daily high and low prices. It adjusts automatically to recent price changes and highlights calm or wild market periods. It colors the chart background and bars in shades of blue to cyan, with optional small labels for changes in market mood. Use it for info only—combine with your own analysis and risk controls. It's not a buy/sell signal or promise of results.Key FeaturesSmart Volatility Measure: Tracks price swings with a flexible time window that reacts to market speed. Market Mood Detection: Spots high-energy (wild) or low-energy (calm) phases to help see shifts. Visual Style: Uses smooth color fades on the background and bars—cyan for calm, deep blue for wild—to blend nicely on your chart. Custom Options: Change settings like time periods, sensitivity, colors, and labels. Chart Fit: Sits right on your main price chart without extra lines, keeping things clean. How It WorksThe tool figures out volatility like this:Adjustment Factor:Looks at recent price ranges compared to longer ones. Tweaks the time window (between 10-50 bars) based on how fast prices are moving. Volatility Calc:Adds up logs of high/low ranges over the adjusted window. Takes the square root for the final value. Can scale it to yearly terms for easy comparison across chart timeframes. Mood Check:Compares current volatility to its recent average and spread. Flags "high" if above your set level, "low" if below. Neutral in between. This setup makes it quicker in busy markets and steadier in quiet ones.Settings You Can ChangeAdjust in the tool's menu:Base Time Window (default: 20): Starting point for calculations. Bigger numbers smooth things out but might miss quick changes. Adjustment Strength (default: 0.5): How much it reacts to price speed. Low = steady; high = quick changes. Yearly Scaling (default: on): Makes values comparable across short or long charts. Turn off for raw numbers. Mood Sensitivity (default: 1.0): How strict for calling high/low moods. Low = more shifts; high = only big ones. Show Labels (default: on): Adds tiny "High Vol" or "Low Vol" tags when moods change. They point up or down from bars. Background Fade (default: 80): How see-through the color fill is (0 = invisible, 100 = solid). Bar Fade (default: 50): How much color blends into your candles or bars (0 = none, 100 = full). How to Read and Use ItColor Shifts:Background and bars fade based on mood strength:Cyan shades mean calm markets (good for steady, back-and-forth trades). Deep blue shades mean wild markets (watch for big moves or turns). Smooth changes show volatility building or easing. Labels:"High Vol" (deep blue, from below bar): Start of wild phase. "Low Vol" (cyan, from above bar): Start of calm phase. Only shows at changes to avoid clutter. Use for timing strategy tweaks. Trading Ideas:Mood-Based Plays: In wild phases (deep blue), try chase-momentum or breakout trades since swings are bigger. In calm phases (cyan), stick to bounce-back or range trades. Risk Tips: Cut trade sizes in wild times to handle bigger losses. Use calm times for longer holds with close stops. Chart Time Tips: Turn on yearly scaling for matching short and long views. Test settings on past data—loosen for quick trades (more alerts), tighten for longer ones (fewer, stronger). Mix with Others: Add trend lines or averages—buy in calm up-moves, sell in wild down-moves. Check with volume or key levels too. Special Cases: In big news events, it reacts faster. On slow assets, it might overstate swings—ease the adjustment strength. Limits and TipsIt looks back at past data, so it trails real-time action and can't predict ahead. Results differ by stock or timeframe—test on history first. Colors and tags are just visuals; set your own alerts if needed. Follows TradingView rules: No win promises, for learning only. Open for sharing; share thoughts in forums. With this, you can spot market energy and tweak your trades smarter. Start on practice charts.
Pine Script®指标
由paradoxalgo提供
QUANTUM MOMENTUMOverview Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management. Key Features 📊 Multi-Asset Momentum Comparison Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset Real-Time Tracking: Monitor relative momentum strength as market conditions evolve Difference Visualization: Clear histogram display showing which asset has stronger momentum 🎯 Multiple Momentum Calculation Methods Choose from four different momentum calculation types: ROC (Rate of Change): Traditional percentage-based momentum measurement RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range Percent Change: Simple percentage change over the lookback period Raw Change: Absolute price change in native currency units 📈 Advanced Trend Filtering System Enable optional trend filters to align momentum signals with prevailing market direction: SMA (Simple Moving Average): Classic trend identification EMA (Exponential Moving Average): Responsive trend detection Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns ADX (Average Directional Index): Measures trend strength with customizable threshold 🎨 Futuristic Cyberpunk Design Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette Glowing Visual Effects: Enhanced visibility with luminescent plot lines Dynamic Background Shading: Subtle trend state visualization Real-Time Data Table: Sleek information panel displaying current momentum values and trend status How It Works The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time. Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise. Settings Guide Symbol Settings Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs) Momentum Settings Momentum Length: Lookback period for momentum calculations (default: 14 bars) Momentum Type: Select your preferred momentum calculation method Display Options Toggle visibility of current symbol momentum line Toggle visibility of comparison symbol momentum line Toggle visibility of momentum difference histogram Optional zero line reference Trend Filter Settings Use Trend Filter: Enable/disable trend-based signal filtering Trend Method: Choose from SMA, EMA, Price Action, or ADX Trend Length: Period for trend calculations (default: 50) ADX Threshold: Minimum ADX value to confirm trend strength (default: 25) Best Use Cases ✅ Pairs Trading: Identify divergences in momentum between correlated assets ✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum ✅ Stock Market Rotation: Track sector or index relative strength ✅ Forex Strength Analysis: Monitor currency pair momentum relationships ✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence ✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals Visual Indicators ⚡ Cyan Line: Your chart symbol's momentum ⚡ Magenta Line: Comparison symbol's momentum 📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink) ▲ Green Triangle: Bullish trend detected (when filter enabled) ▼ Red Triangle: Bearish trend detected (when filter enabled) ◈ Yellow Diamond: Neutral/sideways trend (when filter enabled) Pro Tips 💡 Look for crossovers between the momentum lines as potential trade signals 💡 Combine with volume analysis for stronger confirmation 💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals 💡 Enable trend filter during ranging markets to reduce false signals 💡 Experiment with different momentum types to find what works best for your trading style Technical Requirements TradingView Pine Script Version: v6 Chart Type: Works on all chart types Indicator Placement: Separate pane (overlay=false) Data Requirements: Needs access to comparison symbol data
Pine Script®指标
由AlgoCollective提供
1
Previous Day & Week High/Low LevelsPrevious Day & Week High/Low Levels is a precision tool designed to help traders easily identify the most relevant price levels that often act as strong support or resistance areas in the market. It automatically plots the previous day’s and week’s highs and lows, as well as the current day’s developing internal high and low. These levels are crucial reference points for intraday, swing, and even position traders who rely on price action and liquidity behavior. Key Features Previous Day High/Low: The indicator automatically draws horizontal lines marking the highest and lowest prices from the previous trading day. These levels are widely recognized as potential zones where the market may react again — either rejecting or breaking through them. Previous Week High/Low: The script also tracks and displays the high and low from the last completed trading week. Weekly levels tend to represent stronger liquidity pools and broader institutional zones, which makes them especially important when aligning higher timeframe context with lower timeframe entries. Internal Daily High/Low (Real-Time Tracking): While the day progresses, the indicator dynamically updates the current day’s internal high and low. This allows traders to visualize developing market structure, identify intraday ranges, and anticipate potential breakouts or liquidity sweeps. Multi-Timeframe Consistency: All levels — daily and weekly — remain visible across any chart timeframe, from 1 minute to 1 day or higher. This ensures traders can maintain perspective and avoid losing track of key zones when switching views. Customizable Visuals: The colors, line thickness, and label visibility can be easily adjusted to match personal charting preferences. This makes the indicator adaptable to any trading style or layout, whether minimalistic or detailed. How to Use Identify Key Reaction Zones: Observe how price interacts with the previous day and week levels. Rejections, consolidations, or clean breakouts around these lines often signal strong liquidity areas or potential directional moves. Combine with Market Structure or Liquidity Concepts: The indicator works perfectly with supply and demand analysis, liquidity sweeps, order block strategies, or simply classic support/resistance techniques. Scalping and Intraday Trading: On lower timeframes (1m–15m), the daily levels help identify intraday turning points. On higher timeframes (1h–4h or daily), the weekly levels provide broader context and directional bias. Risk Management and Planning: Using these levels as reference points allows for more precise stop placement, target setting, and overall trade management. Why This Indicator Helps Markets often react strongly around previous highs and lows because these zones contain trapped liquidity, pending orders, or institutional decision points. By having these areas automatically mapped out, traders gain a clear and objective view of where price is likely to respond — without needing to manually draw lines every day or week. Whether you’re a beginner still learning about price structure, or an advanced trader refining entries within liquidity zones, this tool simplifies the process and keeps your charts clean, consistent, and data-driven.
Pine Script®指标
由cauichluis365提供
Ripster Labels + Air Gaps (v6)What it shows (on one chart) EMA Clouds (current timeframe) Plots EMA 8/12/21/34/50/200 with three cloud fills: 12–21 = “fast” cloud 34–50 = “mid” cloud 50–200 = “base” cloud Cloud color: green when the faster EMA is above the slower (bullish), red/maroon/orange when below (bearish). Toggle lines vs. clouds via A) EMA Clouds settings. MTF Rails (higher-TF EMAs) For three higher timeframes (defaults 30m / 60m / 240m), draws two EMAs each (defaults 34 & 50). These are stepline-like rails you can visually use as higher-TF supports/resistances. Configure in B) MTF Rails (turn on/off, change TFs/lengths/colors). Relative Volume Box (RVol) Small table (top-center) showing: Candle Vol (formatted K/M/B if enabled) RVol = current bar volume / SMA 20 of volume (as a %) Color scale: blue (<100%), yellow (100–150%), red (>150%). Settings in C) RVol Box. DTR vs ATR Box Daily True Range (DTR = day high − day low) vs ATR(14) on the daily timeframe, with DTR as % of ATR. Placed at top-right; toggle in D) DTR/ATR Box. Ripster Trend Label (10m 12/50) Looks at a separate timeframe (default 10m): EMA 12 vs EMA 50. Bottom-right table cell shows “10m Trend ↑/↓/Sideways” (green/red/gray). Configure in E) Ripster Trend Labels (TF and lengths). Air Gaps (single EMA per TF) Three horizontal, auto-extending lines showing an EMA from 30m / 60m / 240m (default length 12). “Air gaps” are the price spaces between these lines—often lighter-resistance zones for price. Start point logic: All Bars = draw from the chart’s left Start of Day = draw from today’s first bar Bars Offset = draw from N bars back (default 100) Settings in F) Air Gaps (TFs, length, draw-from, bars-back). Inputs & where to tweak A) EMA Clouds Show EMA Clouds: master toggle Source: close (default) Lengths: 8/12/21/34/50/200 Show EMA lines: toggle plotted lines (clouds remain) B) MTF Rails Show MTF Rails TF1/TF2/TF3 (defaults 30/60/240) EMA A/B (defaults 34/50) C) RVol Box Show box Format as K/M/B: K=1e3, M=1e6, B=1e9 D) DTR/ATR Box Show DTR/ATR ATR len: default 14 (daily) E) Ripster Trend Labels Show labels Trend TF: default 10 (10-minute) Trend EMA Fast/Slow: default 12/50 F) Air Gaps Show Air Gap lines TF1/TF2/TF3 (30/60/240) EMA length: default 12 Draw from: All Bars | Start of Day | Bars Offset Bars back: used if Draw from = Bars Offset How it makes decisions Cloud bias = sign of (faster EMA − slower EMA) for each cloud pair. Example: 12>21 → fast cloud is bullish (green); 34>50 → mid cloud bullish (teal). 10m trend label = sign of (EMA12−EMA50) on the Trend TF (default 10m). RVol = volume / sma(volume, 20); formatted as a percent and color-coded. Practical read of the screen Fast cloud flips (12/21) often mark short-term momentum changes; mid cloud flips (34/50) reflect swing bias. Air Gap lines from higher TFs frequently act as support/resistance. Larger spaces between lines = “air gaps” where price can move with less friction. RVol color tells you how “real” a move is: red/yellow often confirms momentum; blue warns of thin/liquidy bars. DTR vs ATR shows if today’s range is stretched vs recent norm. Design choices (why your prior errors are gone) Removed multiline ?: chains → replaced by if/else (Pine v6 is picky about line continuations). Moved fill() calls outside of local if blocks (Pine limitation). ta.change(time("D")) != 0 makes the if condition boolean. Declared G_drawFrom / G_barsBack before startX() so identifiers exist.
Pine Script®指标
由chandrashekar_thippani提供
ETH Smart Money Order Blocks Detector derek This script helps identify potential Order Blocks (institutional price zones) on the chart based on Breaks of Structure (BOS). It automatically highlights demand zones (green blocks) and supply zones (red blocks), making it easier to read institutional market flow. Ideal for traders using Smart Money Concepts (SMC) or market structure analysis. Compatible with any asset and timeframe. 🔹 Bullish OB = potential buy entry zone 🔹 Bearish OB = potential sell or resistance zone Author: Derek 🧠💹
Pine Script®指标
由ropasvansofficial提供
ORCAORCA - Multi-Period Level Analysis The ORCA indicator identifies and visualizes significant price levels based on historical market data. It automatically calculates support and resistance areas from previous trading periods and projects them as horizontal lines into the future. The levels are derived through mathematical calculations using high, low, and closing prices from past time intervals, providing reference points for potential price reactions.
Pine Script®指标
由SmartInvests100提供
1
MFT Supply/Demand — Top2 (Opacity by Strength, Minimal Labels)Script Overview — “MFT Supply/Demand — Top 2 (Opacity by Strength, Minimal Labels)” This multi–timeframe (MTF) Pine Script indicator automatically detects and displays the strongest supply and demand zones across selected higher (HTF), mid (MTF), and lower (LTF) timeframes. It dynamically identifies large-body, high-volume candles (and optional order-block breakouts) that signal institutional activity, then plots only the two strongest supply zones above the current price and two strongest demand zones below the current price — keeping the chart clean and focused.
Pine Script®指标
由ravigeenesingh提供
1
Jensen Alpha RS🧠 Jensen Alpha RS (J-Alpha RS) Jensen Alpha RS is a quantitative performance evaluation tool designed to compare multiple assets against a benchmark using Jensen’s Alpha — a classic risk-adjusted return metric from modern portfolio theory. It helps identify which assets have outperformed their benchmark on a risk-adjusted basis and ranks them in real time, with optional gating and visual tools. 📊 ✨ Key Features • 🧩 Multi-Asset Comparison: Evaluate up to four assets simultaneously. • 🔀 Adaptive Benchmarking: TOTALES mode uses CRYPTOCAP:TOTALES (total crypto market cap ex-stablecoins). Dynamic mode automatically selects the strongest benchmark among BTC, ETH, and TOTALES based on rolling momentum. • 📐 Jensen’s Alpha Calculation: Uses rolling covariance, variance, and beta to estimate α, showing how much each asset outperformed its benchmark. • 📈 Z-Score & Consistency Metrics: Z-Score highlights statistical deviations in alpha; Consistency % shows how often α has been positive over a chosen window. • 🚦 Trend & Zero Gates: Optional filters that require assets to be above EMA (trend) and/or have α > 0 for confirmation. • 🏆 Leaders Board Table: Displays α, Z, Rank, Consistency %, and Gate ✓/✗ for all assets in a clear visual layout. • 🔔 Dynamic Alerts: Get notified whenever the top alpha leader changes on confirmed (non-repainting) data. • 🎨 Visual Enhancements: Smooth α with an SMA or color bars by the current top-performing asset. 🧭 Typical Use Cases • 🔄 Portfolio Rotation & Relative Strength: Identify which assets consistently outperform their benchmark to optimize capital allocation. • 🧮 Alpha Persistence Analysis: Gauge whether a trend’s performance advantage is statistically sustainable. • 🌐 Market Regime Insight: Observe how asset leadership rotates as benchmarks shift across market cycles. ⚙️ Inputs Overview • 📝 Assets (1–4): Select up to four tickers for evaluation. • 🧭 Benchmark Mode: Choose between static TOTALES or Dynamic auto-selection. • 📏 Alpha Settings: Adjustable lookback, smoothing, and consistency windows. • 🚦 Gates: Optional trend and alpha filters to refine results. • 🖥️ Display: Enable/disable table and customize colors. • 🔔 Alerts: Toggle notifications on leadership changes. 🔎 Formula Basis Jensen’s Alpha (α) is estimated as: α = E − β × E where β = Cov(Ra, Rb) / Var(Rb), and Ra/Rb represent asset and benchmark returns, respectively. A positive α indicates outperformance relative to the risk-adjusted benchmark expectation. ✅ ⚠️ Disclaimer This script is for educational and analytical purposes only. It is NOT a signal. 🚫📉 It does not constitute financial advice, trading signals, or investment recommendations. 💬 The author is not responsible for any financial losses or trading decisions made based on this indicator. 🙏 Always perform your own analysis and use proper risk management. 🛡️
Pine Script®指标
由AriSai_TRW提供
US30 Quarter Levels (125-point grid) by FxMogul🟦 US30 Quarter Levels — Trade the Index Like the Banks Discover the Dow’s hidden rhythm. This indicator reveals the institutional quarter levels that govern US30 — spaced every 125 points, e.g. 45125, 45250, 45375, 45500, 45625, 45750, 45875, 46000, and so on. These are the liquidity magnets and reaction zones where smart money executes — now visualized directly on your chart. 💼 Why You Need It See institutional precision: The Dow respects 125-point cycles — this tool exposes them. Catch reversals before retail sees them: Every impulse and retracement begins at one of these zones. Build confluence instantly: Perfectly aligns with your FVGs, OBs, and session highs/lows. Trade like a professional: Turn chaos into structure, and randomness into rhythm. ⚙️ Key Features Automatically plots US30 quarter levels (…125 / …250 / …375 / …500 / …625 / …750 / …875 / …000). Color-coded hierarchy: 🟨 xx000 / xx500 → major institutional levels ⚪ xx250 / xx750 → medium-impact levels ⚫ xx125 / xx375 / xx625 / xx875 → intraday liquidity pockets Customizable window size, label spacing, and line extensions. Works across all timeframes — from 1-minute scalps to 4-hour macro swings. Optimized for clean visualization with no clutter. 🎯 How to Use It Identify liquidity sweeps: Smart money hunts stops at these quarter zones. Align structure: Combine with session opens, order blocks, or FVGs. Set precision entries & exits: Trade reaction-to-reaction with tight risk. Plan daily bias: Watch how New York respects these 125-point increments. 🧭 Designed For Scalpers, day traders, and swing traders who understand that US30 doesn’t move randomly — it moves rhythmically. Perfect for traders using ICT, SMC, or liquidity-based frameworks. ⚡ Creator’s Note “Every 125 points, the Dow breathes. Every 1000, it shifts direction. Once you see the rhythm, you’ll never unsee it.” — FxMogul
Pine Script®指标
由leonelndam400提供
EMA/VWAP/Volume/MACD指标// === 控制输出 === macd_plot_line = show_macd ? macd_line : na macd_signal_plot = show_macd ? signal_line : na macd_hist_plot = show_macd ? hist_line : na adx_plot_line = show_adx ? adx : na plusdi_plot_line = show_adx ? diplus : na minusdi_plot_line = show_adx ? diminus : na // === 绘制 MACD === plot(macd_plot_line, title="MACD Line", color=color.new(color.aqua, 0)) plot(macd_signal_plot, title="Signal Line", color=color.new(color.orange, 0)) plot(macd_hist_plot, title="Histogram", style=plot.style_columns, color=macd_hist_plot >= 0 ? color.new(color.green, 0) : color.new(color.red, 0))
Pine Script®指标
由jason823222提供