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Multi-Timeframe Trend Indicator with Signals═══════════════════════════════════════════════════════════════ Multi-Timeframe Trend Indicator with Signals by Zakaria Safri ═══════════════════════════════════════════════════════════════ ⚠️ IMPORTANT DISCLAIMERS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • This indicator may REPAINT on unconfirmed bars • Signals appear in real-time but may change or disappear • FOR EDUCATIONAL PURPOSES ONLY - NOT FINANCIAL ADVICE • Past performance does not guarantee future results • Always do your own research and use proper risk management • The Risk Management feature is VISUAL ONLY - does not execute trades ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 OVERVIEW: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator combines multiple technical analysis tools to help identify potential trend directions and entry/exit points across different timeframes. It uses SuperTrend, EMAs, ADX, RSI, and Keltner Channels to generate signals. 🎯 KEY FEATURES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📍 SIGNAL TYPES: • All Signals: Shows all SuperTrend crossovers • Filtered Signals: Additional EMA filter for potentially higher quality signals • Signals use barstate.isconfirmed to reduce (but not eliminate) repainting 📈 TREND ANALYSIS: • Trend Ribbon: 8 EMAs creating a visual trend direction indicator • Trend Cloud: EMA 150/250 cloud for long-term trend context • Chaos Trend Line: Dynamic support/resistance trend line • Multi-timeframe dashboard showing trend across 8 timeframes (3m to Daily) 📊 TECHNICAL INDICATORS: • Keltner Channels: Dynamic price channels • RSI Background: Visual overbought/oversold zones • Candlestick Coloring: Three modes (CleanScalper/Trend Ribbon/Moving Average) • ADX-based trend strength analysis for MTF dashboard 🎯 VISUAL TOOLS: • Order Blocks: Supply/demand zones (optional) • Channel Breakouts: Pivot-based support/resistance levels • Reversal Signals: RSI-based potential reversal indicators • Visual TP/SL Lines: For reference only - does NOT execute trades 📊 DASHBOARD: • Real-time multi-timeframe trend analysis • Volatility indicator (Very Low to Very High) • Current RSI value with color coding • Customizable position and size ⚙️ SETTINGS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ MAIN SETTINGS: • Sensitivity: Controls signal frequency (lower = more signals) • Signal Type: Choose between All Signals or Filtered Signals • Factor: ATR multiplier for SuperTrend calculation TREND SETTINGS: • Toggle Trend Ribbon, Trend Cloud, Chaos Trend, Order Blocks • Moving Average: Customizable EMA (default 200) ADVANCED SETTINGS: • Candlestick coloring with 3 different modes • Overbought/Oversold background coloring • Channel breakout levels • Show/hide signals RISK MANAGEMENT (VISUAL ONLY): • ⚠️ Does NOT execute trades automatically • Shows potential Take Profit levels (TP1, TP2, TP3) • Shows potential Stop Loss level • Adjustable TP strength multiplier • For educational reference only 📖 HOW TO USE: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. SIGNAL INTERPRETATION: • "Buy" signals appear below candles when conditions are met • "Sell" signals appear above candles when conditions are met • Wait for bar close confirmation to avoid repainting • Use multiple timeframes for confluence 2. TREND CONFIRMATION: • Check the multi-timeframe dashboard for trend alignment • Use Trend Ribbon for visual trend direction • Trend Cloud shows longer-term market bias • Green candles = potential uptrend, Red = potential downtrend 3. ENTRY/EXIT STRATEGY: • Combine signals with other analysis tools • Check volatility status before entering trades • Use support/resistance levels for confirmation • The visual TP/SL lines are for planning only 4. RISK MANAGEMENT: • Always use stop losses (indicator shows suggested levels only) • Position size according to your risk tolerance • Never risk more than you can afford to lose • The indicator does NOT manage trades automatically ⚠️ LIMITATIONS & RISKS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ REPAINTING: • Signals may appear and disappear on unconfirmed bars • Always wait for bar close before taking action • Historical performance may look better than real-time results FALSE SIGNALS: • No indicator is 100% accurate • Signals can fail in ranging/choppy markets • Use additional confirmation methods • Consider market context and fundamentals VISUAL TP/SL: • Lines are for reference/planning only • Does NOT place or manage actual trades • You must manually set your own stop losses • TP levels are calculated estimates, not guarantees 🔧 TECHNICAL DETAILS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Version: Pine Script v5 • Overlay: Yes (displays on main chart) • Anti-repaint measures: Uses barstate.isconfirmed on signals • Security function: Uses lookahead protection for higher timeframes • Dynamic requests: Enabled for MTF analysis • Max labels: 500 📚 COMPONENTS EXPLAINED: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SUPERTREND: • Core signal generator using ATR-based bands • Crossovers indicate potential trend changes • Adjustable via Sensitivity and Factor inputs EMA FILTER: • Uses 200 EMA as trend filter (customizable) • Filtered signals require price above/below EMA • Helps reduce false signals in ranging markets ADX TREND QUALITY: • Measures trend strength across timeframes • Used in multi-timeframe dashboard • Shows Bullish/Bearish/Neutral states KELTNER CHANNELS: • Multiple bands showing volatility zones • Color-coded based on RSI levels • Helps identify overbought/oversold conditions ORDER BLOCKS: • Identifies supply/demand zones • Based on price structure and pivots • Can extend to the right for projection 💡 BEST PRACTICES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✓ Use multiple timeframe confirmation ✓ Wait for bar close before acting on signals ✓ Combine with support/resistance analysis ✓ Check overall market conditions ✓ Use proper risk management (1-2% per trade) ✓ Backtest on your specific market/timeframe ✓ Paper trade before using real money ✓ Keep a trading journal ✓ Adjust settings to your trading style ✗ Don't rely solely on this indicator ✗ Don't ignore risk management ✗ Don't trade on unconfirmed signals ✗ Don't overtrade every signal ✗ Don't use without understanding how it works ✗ Don't expect the TP/SL feature to trade for you 📞 SUPPORT & UPDATES: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Creator: Zakaria Safri Version: 4.3 (Compliance Update) For questions or feedback, please use TradingView's comment section. ⚖️ FINAL DISCLAIMER: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This indicator is provided for EDUCATIONAL and INFORMATIONAL purposes only. It is NOT financial advice, investment advice, or a recommendation to buy/sell. Trading involves substantial risk of loss. Past performance, whether actual or indicated by historical tests of strategies, is not indicative of future results. The creator assumes NO responsibility for your trading results. You are solely responsible for your own investment decisions and due diligence. Always consult with a qualified financial advisor before making investment decisions. By using this indicator, you acknowledge and accept these risks and limitations.
Индикатор Pine Script®
от zakariasafri47
10
HTF Fibonacci on intraday ChartThis indicator plots Higher Timeframe (HTF) Fibonacci retracement levels directly on your intraday chart, allowing you to visualize how the current price action reacts to key retracement zones derived from the higher timeframe trend. Concept Fibonacci retracement levels are powerful tools used to identify potential support and resistance zones within a price trend. However, these levels are often calculated on a higher timeframe (like Daily or Weekly), while most traders execute entries on lower timeframes (like 15m, 30m, or 1H). This indicator bridges that gap — it projects the higher timeframe’s Fibonacci levels onto your current intraday chart, helping you see where institutional reactions or swing pivots might occur in real time. How It Works Select the Higher Timeframe (HTF) You can choose which higher timeframe the Fibonacci structure is derived from — default is Daily. Define the Lookback Period The script looks back over the chosen number of bars on the higher timeframe to find the highest high and lowest low — the base for Fibonacci calculations. Plots Key Fibonacci Levels Automatically: 0% (Low) 23.6% 38.2% 50.0% 61.8% 78.6% 100% (High) Dynamic Labels Each Fibonacci level is labelled on the latest bar, updating in real time as new data forms on the higher timeframe. Best Used For Intraday traders who want to align lower-timeframe entries with higher-timeframe structure. Swing traders confirming price reactions around major Fibonacci retracement zones. Contextual analysis for pullback entries, breakout confirmations, or retests of key levels. Recommended Settings Higher Timeframe: Daily (for intraday analysis) Lookback: 50 bars (adjust based on volatility) Combine with MACD, RSI, CPR, or Pivots for confluence. License & Credits Created and published for educational and analytical purposes. Inspired by standard Fibonacci analysis practices.
Индикатор Pine Script®
от JS_Trading_Tradingmadesimple
Ripster: DTR/ATR + SMA Div + RVOL🧭 Overview The indicator combines three major analytical tools into one TradingView Pine v6 script — designed for clean, at-a-glance insight into range, divergence, and volume activity. It shows: DTR vs ATR Table – current Daily True Range compared to Average True Range. SMA Price Divergence + EMA Signal – a histogram with color-coded momentum bands. RVOL Table + Candle Coloring + Change Labels – relative-volume analysis with visual cues on the chart. Short title: ripcombo Runs on chart overlay (no separate pane). 📊 1. DTR vs ATR Table Compares today’s price range (High-Low) to the average true range over a selectable length. Supports multiple smoothing methods: EMA, RMA, SMA, WMA. Table position and text size are configurable. Color logic: 🟢 ≤ 70 % of ATR → low volatility 🟡 70–90 % → average 🔴 ≥ 90 % → expanded range 📈 2. SMA Divergence + EMA Signal Computes fast (14 SMA) and slow (30 SMA) divergences of price. Plots two histograms plus an EMA signal line of the slow divergence. Visuals: Columns shaded by transparency for clarity. Rising EMA → lime line (up momentum). Falling EMA → red line (down momentum). Optional upper/lower bands and zero line provide quick overbought/oversold zones. 🔥 3. RVOL (Relative Volume) Adds powerful volume-based context: a. Table Display Shows: Candle Volume RVOL (Now) RVOL (Prev) Δ RVOL (change Now − Prev) Colors: 🔴 > 200 % (very high volume) 🟠 100–200 % (high volume) 🟡 < 100 % (normal/low volume) Δ column is green ▲ for increase, red ▼ for decrease. b. Candle Coloring (optional) Colors price candles themselves by current RVOL threshold so high-volume candles visually stand out. c. Last-Bar Label (optional) Prints a compact label on the latest candle showing: RVOL: ### % Δ: ▲/▼## % so you can instantly see the current volume strength and how it changed from the previous bar. ⚙️ User Settings All major elements are toggle-controlled: Enable/disable ATR, Divergence, or RVOL sections. Choose table positions (top/middle/bottom × left/center/right). Select text sizes, smoothing types, color modes, and visual transparency. Candle coloring + label visibility are optional. 🧠 At a Glance Component Purpose Key Visuals DTR vs ATR Measures volatility expansion One-cell colored table SMA Divergence Detects price momentum shifts Columns + EMA line + bands RVOL Analysis Highlights unusual trading volume Colored table + Δ column + candle colors + label ✅ Result You get a single on-chart tool that: Quantifies volatility, momentum, and volume context together. Highlights strong activity days (ATR & RVOL) in color. Shows whether current candle’s volume is rising or falling vs the previous. Perfect for spotting breakouts, reversals, or exhaustion moves without switching indicators.
Индикатор Pine Script®
от chandrashekar_thippani
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.
Индикатор Pine Script®
от chandrashekar_thippani
黄金专用LPPL特征检测（Log-Periodic Power Law Singularity）专门用于黄金走势的LPPL检测，在技术分析中，LPPL 奇点指的是对数周期幂律奇异性（Log-Periodic Power Law Singularity），它是对数周期幂律模型（LPPL）中的一个关键概念。以下是关于它的详细介绍： 提出者及背景：LPPL 模型是由研究市场泡沫的先驱者、物理学家迪迪埃・索尔内特（Didier Sornette）等人提出的。该模型结合了理性预期泡沫的经济理论、投资者的模仿和羊群行为的行为金融学以及分岔和相变的数学统计物理学，用于检测金融市场中的泡沫和预测市场转折点。 模型原理：LPPL 模型假设当市场出现泡沫时，资产价格会呈现出一种特殊的波动模式，这种模式由正反馈机制驱动。在泡沫形成过程中，投资者的模仿和跟风行为导致市场参与者的一致性和协同性急剧上升，价格出现 “快于指数” 的增长，同时伴随着加速的对数周期振荡。而 LPPL 奇点就是价格增长和振荡达到极限的那个有限时间点，在这个点之前，价格增长越来越快，振荡频率也越来越高，当到达奇点时，泡沫破裂，市场往往会出现急剧的反转和崩盘。 数学表达：LPPL 模型的数学公式较为复杂，其原始形式提出了一个由 3 个线性参数和 4 个非线性参数组成的函数。通过将这个函数与对数价格时间序列进行拟合，可以估计出模型的参数，进而确定奇点的时间位置等信息。 在金融市场中的应用：LPPL 模型及其中的奇点概念主要用于检测金融市场中的泡沫和预测市场的崩溃点。例如，在 2008 年石油价格泡沫和 2009 年上海股市泡沫等事件中，该模型都被用于分析和预测市场的转折点。不过，该模型也存在一定的局限性，比如对奇点具体点位的预测误差较大，而且市场情况复杂多变，可能会有强大的外力干扰等因素影响模型的准确性。 The LPPL model was proposed by physicist Didier Sornette, a pioneer in the study of market bubbles, and others. The model combines the economic theory of rational expectations bubbles, behavioral finance on investor imitation and herding behavior, and the mathematical statistical physics of bifurcations and phase transitions to detect bubbles in financial markets and predict market turning points. Model Principle: The LPPL model posits that when a market bubble forms, asset prices exhibit a distinctive pattern of fluctuation driven by a positive feedback mechanism. During the bubble's formation, investors' imitation and bandwagon-following behavior lead to a sharp increase in consistency and coordination among market participants, resulting in "faster-than-exponential" price growth accompanied by accelerating logarithmic-periodic oscillations. The LPPL singularity is the finite point in time where price growth and oscillation reach their limits. Prior to this point, prices grow increasingly faster, and the frequency of oscillations increases. When the singularity is reached, the bubble bursts, and the market often experiences a sharp reversal and crash.
Индикатор Pine Script®
от SidHaove
Real Relative Strength Breakout & BreakdownReal Relative Strength Breakout & Breakdown Indicator What It Does Identifies high-probability trading setups by combining: Technical Breakouts/Breakdowns - Price breaking support/resistance zones Real Relative Strength (RRS) - Volatility-adjusted performance vs benchmark (SPY) Key Insight: The strongest signals occur when price action contradicts market direction—breakouts during market weakness or breakdowns during market strength show exceptional buying/selling pressure. Real Relative Strength (RRS) Calculation RRS measures outperformance/underperformance on a volatility-adjusted basis: Power Index = (Benchmark Price Move) / (Benchmark ATR) RRS = (Stock Price Move - Power Index × Stock ATR) / Stock ATR RRS (smoothed) = 3-period SMA of RRS Interpretation: RRS > 0 = Relative Strength (outperforming) RRS < 0 = Relative Weakness (underperforming) Signal Types 🟢 Large Green Triangle (Premium Long) Condition: Breakout + RRS > 0 Meaning: Stock breaking resistance WHILE outperforming benchmark Best when: Market is weak but stock breaks out anyway = exceptional strength Use: High-conviction long entries 🔵 Small Blue Triangle (Standard Breakout) Condition: Breakout + RRS ≤ 0 Meaning: Breaking resistance but underperforming benchmark Typical: "Rising tide lifts all boats" scenario during market rally Use: Lower conviction—may just be following market 🟠 Large Orange Triangle (Premium Short) Condition: Breakdown + RRS < 0 Meaning: Stock breaking support WHILE underperforming benchmark Best when: Market is strong but stock breaks down anyway = severe weakness Use: High-conviction short entries 🔴 Small Red Triangle (Standard Breakdown) Condition: Breakdown + RRS ≥ 0 Meaning: Breaking support but outperforming benchmark Typical: Stock falling less than market during selloff Use: Lower conviction—may recover when market does Why Large Triangles Matter Large signals show divergence = genuine institutional flow: Stock breaking out while market falls → Aggressive buying despite headwinds Stock breaking down while market rallies → Aggressive selling despite tailwinds These setups reveal where real conviction lies, not just momentum-following behavior. Quick Settings RRS: 12-period lookback, 3-bar smoothing, vs SPY Breakouts: 5-period pivots, 200-bar lookback, 3% zone width, 2 minimum tests
Индикатор Pine Script®
от william2003wakeford
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation. What is a Fair Value Gap A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3. Bullish FVG : low > high . This marks a bullish imbalance left beneath price. Bearish FVG : high < low . This marks a bearish imbalance left above price. These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs. Why add momentum Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill. Core Features Auto FVG Detection with size filters in percent of price. Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red. Bull and Bear Modes with independent toggles. Extend Until Filled : keep drawing live to the right until price fully fills the gap. Auto Remove Filled for a clean chart. Optional Labels showing the smoothed RSI value stored at the gap’s birth. RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought. Performance Controls : cap how many FVGs to keep on chart. Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs. How it works Source for Momentum : choose Returns, Close, or Volume. Returns computes percent change over a short lookback to focus on impulse quality. RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding. Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price. Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it. Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately. How to use it Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop. Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction. Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance. Choose your playbook : Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context. Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse. Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price. Two trade playbooks Continuation - Buy the hold of a bullish FVG Context uptrend. A bullish FVG prints with strong RSI color. Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap. Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area. Reversion - Fade a weak bearish FVG toward fill Context range or fading trend. A bearish FVG prints with weak RSI color near a completed move. Price fails to accelerate lower and rotates back into the gap. Enter toward mid-gap with confirmation. Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials. Key settings Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday. Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets. RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability. RSI Source : Returns : most sensitive to true momentum bursts Close : traditional. Volume : uses raw volume impulses to judge footprint strength. Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals. Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes. Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow. Reading the chart Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality. Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality. Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation. Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed. Workflow tips Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias. Increase Min FVG Size percent and RSI length for noisy symbols. Use labels when learning to correlate the RSI numbers with your palette colors. Combine with VWAP or moving averages for confluence at FVG edges. If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing. Alerts included New Bullish FVG New Bearish FVG Bullish FVG Filled Bearish FVG Filled Extreme Oversold FVG - bullish Extreme Overbought FVG - bearish Practical defaults RSI Length 14, Smooth 3, Source Returns. Min FVG Size 0.25 percent on liquid majors. Heatmap Style Gradient, Palette Viridis or Turbo for contrast. Extend Unfilled on, Auto Remove on for a clean live map. Notes This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
Индикатор Pine Script®
от BackQuant
(SPY to ES) ETF→Futures Multi-Level (10 Levels + Select All)Converts selected ETF levels (SPY or QQQ) into equivalent futures levels (ES or NQ). Uses live price ratio between ETF and futures for real-time level translation. Supports 10 independent levels (A–J) with user-defined ETF price inputs. Provides checkboxes to toggle each level’s visibility or show all at once. Applies smoothing (ta.sma) to reduce noise from short-term price movement. Lets user customize each line’s color, width, and style (solid, dashed, dotted). Automatically updates lines as new bars form without user interaction. Uses persistent line objects to keep levels stable when scrolling or zooming. Adapts to either SPY→ES or QQQ→NQ depending on the “Convert SPY?” toggle. Draws clean horizontal lines without legend clutter for visual precision. SOME ONE PUBLISHED THIS FUNCTIONALITY FOR A CHARGE SO I MADE IT FREE. -rA
Индикатор Pine Script®
от vKnit
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))
Индикатор Pine Script®
от jason823222
🚀 Ultimate Trading Tool + Strat Method🚀 Ultimate Trading Tool + Strat Method - Complete Breakdown Let me give you a comprehensive overview of this powerful indicator! 🎯 What This Indicator Does: This is a professional-grade, all-in-one trading system that combines two proven methodologies: 1️⃣ Technical Analysis System (Original) Advanced trend detection using multiple EMAs Momentum analysis with MACD RSI multi-timeframe analysis Volume surge detection Automated trendline drawing 2️⃣ Strat Method (Pattern Recognition) Inside bars, outside bars, directional bars Classic patterns: 2-2, 1-2-2 Advanced patterns: 3-1-2, 2-1-2, F2→3 Timeframe continuity filters 📊 How It Generates Signals: Technical Analysis Signals (Green/Red Triangles): Buy Signal Triggers When: ✅ Price above EMA 21 & 50 (uptrend) ✅ MACD histogram rising (momentum) ✅ RSI between 30-70 (not overbought/oversold) ✅ Volume surge above 20-period average ✅ Price breaks above resistance trendline Scoring System: Trend alignment: +1 point Momentum: +1 point RSI favorable: +1 point Trendline breakout: +2 points Minimum score required based on sensitivity setting Strat Method Signals (Blue/Orange Labels): Pattern Recognition: 2-2 Setup: Down bar → Up bar (or reverse) 1-2-2 Setup: Inside bar → Down bar → Up bar 3-1-2 Setup: Outside bar → Inside bar → Up bar 2-1-2 Setup: Down bar → Inside bar → Up bar F2→3 Setup: Failed directional bar becomes outside bar Confirmation Required: Must break previous bar's high (buy) or low (sell) Optional timeframe continuity (daily & weekly aligned) 💰 Risk Management Features: Dynamic Stop Loss & Take Profit: ATR-Based: Adapts to market volatility Stop Loss: Entry - (ATR × 1.5) by default Take Profit: Entry + (ATR × 3.0) by default Risk:Reward: Customizable 1:2 to 1:5 ratios Visual Risk Zones: Colored boxes show risk/reward area Dark, bold lines for easy identification Clear entry, stop, and target levels 🎨 What You See On Screen: Main Signals: 🟢 Green Triangle "BUY" - Technical analysis long signal 🔴 Red Triangle "SELL" - Technical analysis short signal 🎯 Blue Label "STRAT" - Strat method long signal 🎯 Orange Label "STRAT" - Strat method short signal Trendlines: Green lines - Support trendlines (bullish) Red lines - Resistance trendlines (bearish) Automatically drawn from pivot points Extended forward to predict future levels Stop/Target Levels: Bold crosses at stop loss levels (red color) Bold crosses at take profit levels (green color) Line width = 3 for maximum visibility Trade Zones: Light green boxes - Long trade risk/reward zone Light red boxes - Short trade risk/reward zone Shows potential profit vs risk visually 📊 Information Dashboard (Top Right): Shows real-time market conditions: Main Signal: Current technical signal status Strat Method: Active Strat pattern Trend: Bullish/Bearish/Neutral Momentum: Strong/Weak based on MACD Volume: High/Normal compared to average TF Continuity: Daily/Weekly alignment RSI: Current RSI value with color coding Support/Resistance: Current trendline levels 🔔 Alert System: Entry Alerts: Technical Signals: 🚀 BUY SIGNAL TRIGGERED! Type: Technical Analysis Entry: 45.23 Stop: 43.87 Target: 48.95 ``` **Strat Signals:** ``` 🎯 STRAT BUY TRIGGER! Pattern: 3-1-2 Entry: 45.23 Trigger Level: 44.56 Exit Alerts: Target hit notifications Stop loss hit warnings Helps maintain discipline ⚙️ Customization Options: Signal Settings: Sensitivity: High/Medium/Low (controls how many signals) Volume Filter: Require volume surge or not Momentum Filter: Require momentum confirmation Strat Settings: TF Continuity: Require daily/weekly alignment Pattern Selection: Enable/disable specific patterns Confirmation Mode: Show only confirmed triggers Risk Settings: ATR Multiplier: Adjust stop/target distance Risk:Reward: Set preferred ratio Visual Elements: Show/hide any component Visual Settings: Colors: Customize all signal colors Display Options: Toggle signals, levels, zones Trendline Length: Adjust pivot detection period 🎯 Best Use Cases: Day Trading: Use low sensitivity setting Enable all Strat patterns Watch for high volume signals Quick in/out trades Swing Trading: Use medium sensitivity Require timeframe continuity Focus on trendline breakouts Hold for target levels Position Trading: Use high sensitivity (fewer signals) Require strong momentum Focus on weekly/daily alignment Larger ATR multipliers 💡 Trading Strategy Tips: High-Probability Setups: Double Confirmation: Technical + Strat signal together Trend Alignment: All timeframes agree Volume Surge: Institutional participation Trendline Break: Clear level breakout Risk Management: Always use stops - System provides them Position sizing - Risk 1-2% per trade Don't chase - Wait for signal confirmation Take profits - System provides targets What Makes Signals Strong: ✅ Both technical AND Strat signals fire together ✅ Timeframe continuity (daily & weekly aligned) ✅ Volume surge confirms institutional interest ✅ Multiple indicators align (trend + momentum + RSI) ✅ Clean trendline breakout with no resistance above (or support below) ⚠️ Common Mistakes to Avoid: Don't ignore stops - System calculates them for a reason Don't overtrade - Wait for quality setups Don't disable volume filter - Unless you know what you're doing Don't use max sensitivity - You'll get too many signals Don't ignore timeframe continuity - It filters bad trades 🚀 Why This Indicator is Powerful: Combines Multiple Edge Sources: Technical analysis (trend, momentum, volume) Pattern recognition (Strat method) Risk management (dynamic stops/targets) Market structure (trendlines, support/resistance) Professional Features: No repainting - signals are final when bar closes Clear risk/reward before entry Multiple confirmation layers Adaptable to any market or timeframe Beginner Friendly: Clear visual signals Automatic calculations Built-in risk management Comprehensive dashboard This indicator essentially gives you everything a professional trader uses - trend analysis, momentum, patterns, volume, risk management - all in one clean package! Any specific aspect you'd like me to explain in more detail? 🎯RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Индикатор Pine Script®
от jmslimus
Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)This indicator — “Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)” — automatically detects and visualizes swing highs, swing lows, and liquidity levels on the chart with rich analytics and customizable visuals. 🔍 Core Features Smart Swing Detection: Identifies pivot highs/lows based on adjustable left/right bar settings. Liquidity Visualization: Draws dynamic boxes and lines for liquidity pools and swing zones. Volume & OI Integration: Filters and colors levels using volume and Open Interest Δ (change). Strength Meter: Highlights strong liquidity levels with color gradients based on OI + volume intensity. Automatic Trendlines: Connects swing points with selectable style and width. Fibonacci Mapping: Automatically projects fib retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) from swing-to-swing for confluence zones. Statistics Panel: Displays live metrics — total levels, active/filled count, success rate, and average strength. Alerts System: Alerts for new swing formations and when price touches or breaks a level. Multi-Timeframe Option: Analyze swing structures from higher timeframes on any chart. Dual Theme Mode: Fully optimized for both Dark and Light interface preferences. ⚙️ Advanced Options Adjustable lookback range Hide or extend filled levels Configurable volume and OI thresholds Supports multiple OI data sources (Binance, BitMEX, Kraken) Fully dynamic text, color, and label alignment settings 💡 Use Case Perfect for Smart Money Concept (SMC) and ICT-style analysis, liquidity sweeps, and swing-based trading. Traders can quickly visualize where liquidity sits, track how it gets filled, and monitor structure shifts in real time.
Индикатор Pine Script®
от KSA_369
2
⚡ Elite Momentum Pro🎯 Key Features 1. Smart Signal Engine 3 Signal Modes: Aggressive, Balanced, Conservative 7-Point Scoring System - Ensures high-quality signals Anti-Flip Protection - Prevents rapid signal changes Multiple confirmations: Supertrend, MACD, RSI, EMA alignment, momentum 2. Advanced Risk Management 3 Take Profit Levels (TP1, TP2, TP3) for scaling out ATR-Based Dynamic Stops - Adapts to volatility Customizable Risk:Reward (default 2.5:1) Visual stop and target levels 3. Clean Visual Design Color-coded price bars based on trend strength EMA Ribbon (9, 21, 50, 200) for trend clarity
Индикатор Pine Script®
от jmslimus
Quantum Flux Universal Strategy Summary in one paragraph Quantum Flux Universal is a regime switching strategy for stocks, ETFs, index futures, major FX pairs, and liquid crypto on intraday and swing timeframes. It helps you act only when the normalized core signal and its guide agree on direction. It is original because the engine fuses three adaptive drivers into the smoothing gains itself. Directional intensity is measured with binary entropy, path efficiency shapes trend quality, and a volatility squash preserves contrast. Add it to a clean chart, watch the polarity lane and background, and trade from positive or negative alignment. For conservative workflows use on bar close in the alert settings when you add alerts in a later version. Scope and intent • Markets. Large cap equities and ETFs. Index futures. Major FX pairs. Liquid crypto • Timeframes. One minute to daily • Default demo used in the publication. QQQ on one hour • Purpose. Provide a robust and portable way to detect when momentum and confirmation align, while dampening chop and preserving turns • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique concept or fusion. The novelty sits in the gain map. Instead of gating separate indicators, the model mixes three drivers into the adaptive gains that power two one pole filters. Directional entropy measures how one sided recent movement has been. Kaufman style path efficiency scores how direct the path has been. A volatility squash stabilizes step size. The drivers are blended into the gains with visible inputs for strength, windows, and clamps. • What failure mode it addresses. False starts in chop and whipsaw after fast spikes. Efficiency and the squash reduce over reaction in noise. • Testability. Every component has an input. You can lengthen or shorten each window and change the normalization mode. The polarity plot and background provide a direct readout of state. • Portable yardstick. The core is normalized with three options. Z score, percent rank mapped to a symmetric range, and MAD based Z score. Clamp bounds define the effective unit so context transfers across symbols. Method overview in plain language The strategy computes two smoothed tracks from the chart price source. The fast track and the slow track use gains that are not fixed. Each gain is modulated by three drivers. A driver for directional intensity, a driver for path efficiency, and a driver for volatility. The difference between the fast and the slow tracks forms the raw flux. A small phase assist reduces lag by subtracting a portion of the delayed value. The flux is then normalized. A guide line is an EMA of a small lead on the flux. When the flux and its guide are both above zero, the polarity is positive. When both are below zero, the polarity is negative. Polarity changes create the trade direction. Base measures • Return basis. The step is the change in the chosen price source. Its absolute value feeds the volatility estimate. Mean absolute step over the window gives a stable scale. • Efficiency basis. The ratio of net move to the sum of absolute step over the window gives a value between zero and one. High values mean trend quality. Low values mean chop. • Intensity basis. The fraction of up moves over the window plugs into binary entropy. Intensity is one minus entropy, which maps to zero in uncertainty and one in very one sided moves. Components • Directional Intensity. Measures how one sided recent bars have been. Smoothed with RMA. More intensity increases the gain and makes the fast and slow tracks react sooner. • Path Efficiency. Measures the straightness of the price path. A gamma input shapes the curve so you can make trend quality count more or less. Higher efficiency lifts the gain in clean trends. • Volatility Squash. Normalizes the absolute step with Z score then pushes it through an arctangent squash. This caps the effect of spikes so they do not dominate the response. • Normalizer. Three modes. Z score for familiar units, percent rank for a robust monotone map to a symmetric range, and MAD based Z for outlier resistance. • Guide Line. EMA of the flux with a small lead term that counteracts lag without heavy overshoot. Fusion rule • Weighted sum of the three drivers with fixed weights visible in the code comments. Intensity has fifty percent weight. Efficiency thirty percent. Volatility twenty percent. • The blend power input scales the driver mix. Zero means fixed spans. One means full driver control. • Minimum and maximum gain clamps bound the adaptive gain. This protects stability in quiet or violent regimes. Signal rule • Long suggestion appears when flux and guide are both above zero. That sets polarity to plus one. • Short suggestion appears when flux and guide are both below zero. That sets polarity to minus one. • When polarity flips from plus to minus, the strategy closes any long and enters a short. • When flux crosses above the guide, the strategy closes any short. What you will see on the chart • White polarity plot around the zero line • A dotted reference line at zero named Zen • Green background tint for positive polarity and red background tint for negative polarity • Strategy long and short markers placed by the TradingView engine at entry and at close conditions • No table in this version to keep the visual clean and portable Inputs with guidance Setup • Price source. Default ohlc4. Stable for noisy symbols. • Fast span. Typical range 6 to 24. Raising it slows the fast track and can reduce churn. Lowering it makes entries more reactive. • Slow span. Typical range 20 to 60. Raising it lengthens the baseline horizon. Lowering it brings the slow track closer to price. Logic • Guide span. Typical range 4 to 12. A small guide smooths without eating turns. • Blend power. Typical range 0.25 to 0.85. Raising it lets the drivers modulate gains more. Lowering it pushes behavior toward fixed EMA style smoothing. • Vol window. Typical range 20 to 80. Larger values calm the volatility driver. Smaller values adapt faster in intraday work. • Efficiency window. Typical range 10 to 60. Larger values focus on smoother trends. Smaller values react faster but accept more noise. • Efficiency gamma. Typical range 0.8 to 2.0. Above one increases contrast between clean trends and chop. Below one flattens the curve. • Min alpha multiplier. Typical range 0.30 to 0.80. Lower values increase smoothing when the mix is weak. • Max alpha multiplier. Typical range 1.2 to 3.0. Higher values shorten smoothing when the mix is strong. • Normalization window. Typical range 100 to 300. Larger values reduce drift in the baseline. • Normalization mode. Z score, percent rank, or MAD Z. Use MAD Z for outlier heavy symbols. • Clamp level. Typical range 2.0 to 4.0. Lower clamps reduce the influence of extreme runs. Filters • Efficiency filter is implicit in the gain map. Raising efficiency gamma and the efficiency window increases the preference for clean trends. • Micro versus macro relation is handled by the fast and slow spans. Increase separation for swing, reduce for scalping. • Location filter is not included in v1.0. If you need distance gates from a reference such as VWAP or a moving mean, add them before publication of a new version. Alerts • This version does not include alertcondition lines to keep the core minimal. If you prefer alerts, add names Long Polarity Up, Short Polarity Down, Exit Short on Flux Cross Up in a later version and select on bar close for conservative workflows. Strategy has been currently adapted for the QQQ asset with 30/60min timeframe. For other assets may require new optimization Properties visible in this publication • Initial capital 25000 • Base currency Default • Default order size method percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Honest limitations and failure modes • Past results do not guarantee future outcomes • Economic releases, circuit breakers, and thin books can break the assumptions behind intensity and efficiency • Gap heavy symbols may benefit from the MAD Z normalization • Very quiet regimes can reduce signal contrast. Use longer windows or higher guide span to stabilize context • Session time is the exchange time of the chart • If both stop and target can be hit in one bar, tie handling would matter. This strategy has no fixed stops or targets. It uses polarity flips for exits. If you add stops later, declare the preference Open source reuse and credits • None beyond public domain building blocks and Pine built ins such as EMA, SMA, standard deviation, RMA, and percent rank • Method and fusion are original in construction and disclosure Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs. Strategy add on block Strategy notice Orders are simulated by the TradingView engine on standard candles. No request.security() calls are used. Entries and exits • Entry logic. Enter long when both the normalized flux and its guide line are above zero. Enter short when both are below zero • Exit logic. When polarity flips from plus to minus, close any long and open a short. When the flux crosses above the guide line, close any short • Risk model. No initial stop or target in v1.0. The model is a regime flipper. You can add a stop or trail in later versions if needed • Tie handling. Not applicable in this version because there are no fixed stops or targets Position sizing • Percent of equity in the Properties panel. Five percent is the default for examples. Risk per trade should not exceed five to ten percent of equity. One to two percent is a common choice Properties used on the published chart • Initial capital 25000 • Base currency Default • Default order size percent of equity with value 5 • Pyramiding 1 • Commission 0.05 percent • Slippage 10 ticks • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Dataset and sample size • Test window Jan 2, 2014 to Oct 16, 2025 on QQQ one hour • Trade count in sample 324 on the example chart Release notes template for future updates Version 1.1. • Add alertcondition lines for long, short, and exit short • Add optional table with component readouts • Add optional stop model with a distance unit expressed as ATR or a percent of price Notes. Backward compatibility Yes. Inputs migrated Yes.
Стратегия Pine Script®
от exlux