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Big Notional Volume Bubbles (Lower-TF Order Flow Approximation)Big Notional Volume Bubbles (Lower-TF Order Flow Approximation) ### Overview This indicator visualizes large notional trading activity by scanning lower-timeframe candles inside each chart bar and highlighting periods where unusually high traded value (volume × price) occurs. This script is intended to help short-term traders and scalpers identify bursts of aggressive activity, potential absorption zones, and areas of heightened participation, using standard OHLCV data. Important: This indicator does not access true market order tape or DOM data. It is an approximation based on lower-timeframe OHLCV data provided by TradingView. What the Indicator Shows Each bubble represents a lower-timeframe candle where traded notional value exceeds a user-defined threshold. Bubble size scales with the notional value of that candle. Green bubbles indicate the lower-timeframe candle closed higher (buy-side pressure approximation). Red bubbles indicate the lower-timeframe candle closed lower (sell-side pressure approximation). Bubbles can be plotted at candle closes or wick extremes for contextual analysis. How It Works 1. Lower-timeframe OHLCV data is requested using `request.security_lower_tf`. 2. Notional value is calculated as volume × price for each micro-candle. 3. The script selects the largest notional events per bar that exceed the minimum threshold. 4. These events are rendered as bubbles on the main price chart. Intended Use Cases Scalping and short-term trading Momentum ignition and continuation analysis Absorption and failed breakout detection Effort versus result analysis Confirmation at key structural levels Recommended Settings Lower timeframe: Start with 1 (1 minute). Seconds-based timeframes may not be supported on all feeds. Minimum notional (USD/USDT): BTC / ETH: 25,000 – 250,000 Mid-cap assets: 5,000 – 50,000 Adjust based on liquidity and volatility Max bubbles per bar: 3–8 to avoid visual clutter Limitations This indicator does not display individual market orders or aggressor-side execution. Buy/sell classification is inferred from candle direction, not bid/ask data. Lower-timeframe data availability depends on the selected symbol and exchange feed. This tool should not be used as a standalone signal generator. Best Practices Use in conjunction with market structure, VWAP, and key price levels. Focus on price behavior after a bubble appears rather than the bubble itself. Interpret bubbles as areas of interest, not directional guarantees.
Indikator Pine Script®
oleh shabahat_kazmi1
Gann Octave Pro - Angles & Time Cycles 🎯 Gann Octave Pro - Angles & Time Cycles ## Complete Gann Trading System - Price, Angles & Time in One Indicator A professional-grade Gann analysis tool combining **Octave Price Levels**, **Gann Angles (1x1, 2x1, 1x2)**, and **Advanced Time Cycle Projections**. Perfect for traders seeking precision market timing through geometric confluence. --- ## 🌟 Key Features ### 📐 Octave Price Levels - **5 Key Levels**: 0%, 25%, 50%, 75%, 100% - **Color-Coded**: Green (support) → Blue (50% pivot) → Red (resistance) → Black (boundaries) - **Dynamic Updates**: Auto-adjusts to swing structure - **Trading Edge**: 50% level is the most powerful reversal zone ### 📏 Gann Angles - **1x1 Angle** (Black) - Natural 45° trend line - **2x1 Angle** (Red) - Steep acceleration zone - **1x2 Angle** (Red) - Gradual support/resistance - **Customizable Extension**: Fixed bars or % of swing length ### ⏰ Advanced Time Cycles **Three Calculation Methods:** 1. **Angle-Level Confluence** ⭐ (Recommended) - Calculates intersections of Gann angles with octave levels - Most sophisticated timing system - Based on price-time geometry 2. **Swing Duration** - Uses actual swing bar length 3. **Harmonic (Swing/8)** - Classic Gann harmonic division **Cycle Visualization:** - **Full Cycles** (Purple, solid) - Major turning points, labeled "◆ FC1 (176 bars) " - **Sub-Cycles** (Blue, dotted) - Minor pivots, labeled "S1 " - **Mid-Cycles** (Orange, dashed) - Half-cycle inflection points - **Past Display**: Shows 4 complete past cycles for validation - **Future Projection**: Projects 8 future cycles for anticipation --- ## 🎯 How to Use ### Quick Start 1. Apply to chart (works all timeframes/instruments) 2. Select period: Default 44 bars (adjust based on timeframe) 3. Choose cycle method: "Angle-Level Confluence" for best results 4. Observe past cycles to validate timing accuracy ### Trading Strategies **Triple Confluence Setup** (Highest Probability) - Price at octave level (especially 50%) - Price touches Gann angle (1x1 most reliable) - Time cycle arrives (full cycle preferred) - **Entry**: On confluence | **Stop**: Below/above octave level | **Target**: Next level **Cycle Anticipation** - Enter 1-2 bars before cycle line if price at octave level - Exit at next cycle or target octave level - **Edge**: Anticipate cycles instead of reacting **Angle Breakout + Cycle** - Price breaks 1x1 angle + next cycle within 20 bars - Hold through cycle, exit at 2x1 angle or next major level --- ## ⚙️ Customization ### Period Selection (88-Based) 11 harmonic options: 3, 6, 11, 22, **44**, 88, 176, 352, 704, 1408, 2816 bars - **Intraday** (15m-1h): Period 3-4 - **Swing Trading** (4h-Daily): Period 4-5 - **Position Trading** (Daily-Weekly): Period 5-6 ### Visual Controls - **Colors**: Independent for all elements - **Line Widths**: Separate controls (1-5) for levels, angles, cycles - **Label Size**: Tiny/Small/Normal/Large (unified) - **Label Position**: Top/Middle/Bottom - **Show/Hide**: Toggle any component ### Alerts - 50% octave level breakouts - Customizable messages --- ## 💡 Pro Tips 1. **Validate First**: Observe 2-3 past cycles before trading 2. **Adjust to Volatility**: High volatility = lower period (22-44), Low = higher (88-176) 3. **Multiple Timeframes**: Apply on different timeframes for confirmation 4. **Respect 50% Level**: Most powerful reversal zone in Gann theory 5. **Focus on Full Cycles**: Highest probability setups (◆ FC markers) 6. **Combine with Price Action**: Indicator shows WHERE/WHEN, price action shows HOW --- ## 🚀 What Makes It Unique ✅ **Intelligent Confluence Cycles** - Unique angle-level intersection calculation ✅ **Historical Validation** - See past cycles to trust future projections ✅ **Professional Design** - Color-coded hierarchy, clean labels, no clutter ✅ **Complete Automation** - Everything updates in real-time ✅ **Three-Dimensional Analysis** - Price + Angles + Time = complete picture --- ## 📊 Best Markets - Stock indices (S&P 500, NASDAQ, Dow) - Forex majors (EUR/USD, GBP/USD, USD/JPY) - Commodities (Gold, Silver, Oil) - Crypto (BTC, ETH) - Liquid stocks ✅ Complete Gann system (price + angles + time) ✅ 3 time cycle methods ✅ Auto swing detection ✅ 4 past + 8 future cycle projections ✅ Professional visualization ✅ Extensive customization ✅ Real-time alerts ✅ Works all markets/timeframes --- ## ⚠️ Disclaimer This indicator is for educational purposes and applies W.D. Gann methodology principles. Not financial advice. Always use proper risk management, position sizing, and stop losses. Practice on paper before live trading. Past performance doesn't guarantee future results. --- **The market moves in patterns of price and time. This indicator helps you see them.** Trade with geometry. Trade with time. Trade with confidence.
Indikator Pine Script®
oleh TimePriceDecoder
5
Seasonality Table - [JTCAPITAL]Seasonality Table - is a modified way to use monthly return aggregation across multiple assets to identify seasonal trends in cryptocurrencies and indices. The indicator works by calculating in the following steps: Asset Selection The user defines a list of assets to include in the seasonality table. By default, the script allows up to 32 assets, including popular cryptocurrencies like BTC, ETH, BNB, XRP, and others. Each asset is identified by its symbol (e.g., "CRYPTO:BTCUSD"). Monthly Return Calculation For each asset, the script requests monthly price data using request.security. Specifically, it retrieves the monthly open, close, and month number. The monthly return is calculated as: Return = (Close - Open) / Open This step provides a normalized measure of performance for each asset per month. Data Aggregation The script stores two key arrays for each asset and month combination: sumReturns: The cumulative sum of monthly returns countReturns: The number of months with valid data This allows averaging returns later while handling months with missing data gracefully. Table Construction Rows representing months (January–December) Columns representing each asset An additional column showing the average return for all assets per month A final row showing the yearly average return for each asset Filling the Table The table cells are filled as follows: Monthly returns are averaged for each asset and displayed as a percentage. Positive returns are colored green, negative returns red. Missing data is displayed as a gray “—” placeholder. Each row’s values are normalized for the color gradient to show relative performance. Averages Computation The script calculates two types of averages: Monthly Average Across Assets : Sum of all asset returns for a month divided by the number of valid data points. Yearly Average Per Asset : Sum of all monthly returns for an asset divided by the number of months with valid data. These averages are displayed in the last column and last row respectively, with gradient coloring for visual comparison. Buy and Sell Conditions This indicator does not generate explicit buy or sell signals. Instead, it provides a visual heatmap of historical seasonality, allowing traders to: Identify months where an asset historically outperforms (bullish bias) Identify months with weak historical performance (bearish caution) Compare seasonal patterns across multiple assets for portfolio allocation Filters can be applied by adjusting the asset list, changing the color mapping, or focusing on specific months to highlight seasonal anomalies. Features and Parameters Number of assets: Set how many assets are included in the table (1–32). Assets: Input symbols for the assets you want to analyze. Low % Color: Defines the color for the lowest monthly returns in the gradient. High % Color: Defines the color for the highest monthly returns in the gradient. Cleaned asset names for concise display. Gradient-based visualization for easier pattern recognition. Monthly and yearly averages for comparative analysis. Specifications Monthly Return Calculation Uses the formula (Close - Open) / Open for each asset per month. This standardizes performance across different price scales and ensures comparability between assets. Arrays for Storage sumReturns: Float array storing cumulative monthly returns. countReturns: Integer array storing the number of valid data points per month. These arrays allow efficient aggregation and average calculations without overwriting previous values. Data Retrieval via Security Calls Requests monthly OHLC data for each asset using request.security. Ensures calculations reflect the correct timeframe and allow for historical comparison. Color and Text Assignment Green text for positive returns, red for negative returns. Gray cells indicate missing data. Gradient background shows relative magnitude within the month. Seasonality Analysis The table visually encodes which months historically produce stronger returns. Useful for portfolio rotation, risk management, and identifying cyclical trends. Scalability Supports up to 32 assets. Dynamically adapts to the number of assets and data availability. Gradient scales automatically per row for consistent comparison.
Indikator Pine Script®
oleh JTCapitalNL
2
S_Sigma HTF Candles (UTC Draw / NY Labels)🕯️ S_Sigma HTF Candles (UTC Draw / NY Labels) Multi-Timeframe Overlay with Session Labels & Imbalances S_Sigma HTF Candles is a powerful, non-repainting overlay indicator that allows you to visualize up to 6 different Higher Timeframes (HTF) directly on your current chart. Designed specifically for traders who need context without switching tabs, this tool draws accurate HTF candles using UTC time (standard for Crypto) while labeling them with New York Timezone data (standard for Stocks/Forex). It also detects Fair Value Gaps (FVG) and Volume Imbalances automatically. 🌟 Key Features 📊 6 Independent HTF Slots Configure up to 6 different timeframes simultaneously (e.g., 15m, 1H, 4H, 1D, 1W). Each slot is customizable and can be toggled on/off independently. 🌍 UTC Drawing + NY Labels (The "Sigma" Edge) Drawing: Candles are calculated strictly using UTC time to ensure wicks and bodies match exchange data (perfect for BTC/ETH). Labels: Day of the Week (Mon/Tue/Wed) and Time labels are converted to America/New_York time. Never get confused by candle closes again. #HTF Countdown Timer** See exactly how much time is left until the Higher Timeframe candle closes. Essential for timing entries at the "Candle Close." 📈 Smart Imbalance Detection FVG (Fair Value Gaps): Automatically highlights 3-candle reversal gaps. VI (Volume Imbalance): Highlights wicks that pierce previous bodies. 🏗️ Custom Session Starts Don't like the standard Daily candle? Force the Daily candle to open at 08:30 NY or 09:30 NY (Market Open) instead of Midnight UTC. ⚙️ Customization Options Visuals: Full control over Bull/Bear colors, borders, wicks, and opacity. Layout: Adjust padding, width, and spacing between timeframes to prevent overlap. Trace Lines: Optional lines tracing the Open, High, Low, and Close of the forming HTF candle. Labels: Toggle HTF names, Timers, and Day-of-Week labels on/off. 💡 How to Use Add to Chart: The indicator draws candles to the right of the current price (offset) to keep your chart clean. Check Alignment: Ensure the "Daily Name" matches your expected market session (NY Time). Spot Entries: Look for price entering an FVG (Gray box) or hitting a HTF Support/Resistance level (Wick of the HTF candle). Time Entries: Wait for the Timer to hit 00:00 for a confirmed candle close. Perfect for: Smart Money Concepts (SMC), ICT, Wyckoff, and Multi-Timeframe Analysis.
Indikator Pine Script®
oleh guy-change-hertz
SMT Divergence [Kodexius]SMT Divergence is a correlation-based divergence detector built around the Smart Money Technique concept: when two normally correlated instruments should be making similar swing progress, but one prints a new extreme while the other fails to confirm it. This “disagreement” can be a valuable contextual signal around liquidity runs, distribution phases, and potential reversal or continuation points. The script compares the chart symbol (primary) with a user-selected comparison symbol (for example BTC vs ETH, ES vs NQ, EUR/USD vs GBP/USD) and automatically scans both instruments for confirmed swing highs and swing lows using pivot logic. Once swings are established, it checks for classic SMT conditions: Primary makes a new swing extreme while the comparison symbol forms a non-confirming swing . To support a wider range of markets, the indicator includes an Inverse Correlation option for pairs that typically move opposite to each other (for example DXY vs EUR/USD). With this enabled, the divergence rules are logically flipped so that the script still detects “non-confirmation” in a way that is consistent with the pair’s relationship. The indicator is designed to be readable and actionable. It can draw divergence labels directly on the main chart, connect the relevant swing points with lines, show a compact information table with the last signal and settings, and optionally render the comparison symbol as a mini candle chart in the indicator pane for quick visual validation. 🔹 Features 🔸 Two-Symbol SMT Analysis (Primary vs Compare) Select any comparison symbol to evaluate correlation structure and divergence. The script fetches the comparison OHLC data using the current chart timeframe to keep both series aligned for analysis. 🔸 Inverse Correlation Mode For inversely correlated pairs, enable “Inverse Correlation” so the script interprets confirmation appropriately (for example, a higher low on the comparison instrument might be expected to correspond to a lower low on the primary, depending on the relationship). This helps avoid false conclusions when the pair naturally moves opposite. 🔸 Pivot-Based Swing with Adjustable Sensitivity Swings are detected using confirmed pivots (left bars and right bars). This provides cleaner structural swing points compared with raw candle-to-candle comparisons, and it lets you control sensitivity for different market conditions and timeframes. The script also limits stored swing history to keep performance stable. 🔸 Flexible Detection Mode: Time Matched or Independent Swings You can choose how swings are paired across instruments: Time Matched searches for a comparison swing that occurred at the same pivot time as the primary swing. Independent Swings compares each symbol’s own last two swings without requiring an exact time match. 🔸 Range Control and Noise Filtering To reduce weak or irrelevant signals: “Max Bars Between Swings” ensures the two swings being compared are close enough in structure to be meaningful. “Min Price Diff (%)” can require a minimum percentage change between the primary’s last two swing prices to confirm the move is significant. 🔸 Clear Visual Output with Tooltips When a divergence is detected, the script can print a label (“SMT”) with bullish or bearish styling and a tooltip that includes the symbol pair and the primary swing price for quick context. 🔸 Divergence Lines for Context Optional lines connect the relevant swing points, making it easier to see the exact structure that triggered the signal. One line can be drawn on the main chart and another in the indicator pane for the comparison series. 🔸 Info Table (At a Glance) A compact table can display the active symbols, correlation mode, total divergences stored, and the most recent signal type. 🔸 Alerts Included Built-in alert conditions are provided for bullish SMT, bearish SMT, and any SMT event so you can automate notifications without editing the code. 🔸 Optional Comparison Candle Panel If enabled, the indicator can plot the comparison symbol as candles in the indicator pane. This is useful for confirming whether the divergence is happening around major levels, consolidations, or impulsive legs on the secondary instrument. 🔹 Calculations This section summarizes the core logic used by the script. 1. Data Synchronization (Comparison Symbol) The comparison instrument is requested on the chart’s current timeframe so swing calculations are performed consistently: = request.security(compareSymbolInput, timeframe.period, ) This ensures pivots and swing times are derived from the same bar cadence as the primary chart. 2. Swing Detection via Confirmed Pivots Swings are detected using pivot logic with user-defined left and right bars: primaryPivotHigh = ta.pivothigh(high, pivotLeftBars, pivotRightBars) primaryPivotLow = ta.pivotlow(low, pivotLeftBars, pivotRightBars) Because pivots are confirmed only after the “right bars” have closed, the script stores each swing using an offset so the swing’s bar index and time reflect where the pivot actually occurred, not where it was confirmed. 3. Swing Storage and Retrieval Both symbols maintain arrays of SwingPoint objects. Each new swing is pushed into the array, and older swings are dropped once the array exceeds the configured maximum. This makes the divergence engine predictable and prevents uncontrolled memory growth. The script then retrieves the last and previous swing highs and lows (per symbol) to evaluate structure. 4. Matching Logic (Time Matched vs Independent) When “Time Matched” is selected, the script searches the comparison swing array for a pivot that occurred at the exact same timestamp as the primary swing. When “Independent Swings” is selected, it simply uses the comparison symbol’s last two swings of the same type. 5. Bullish SMT Condition (LL vs HL) A bullish SMT event is defined as: Primary forms a lower low (last low < previous low) Comparison forms a higher low (last low > previous low) If inverse correlation is enabled, the comparison condition flips to maintain logical confirmation rules The two primary swings must be within the configured bar distance window Optional minimum percentage difference must be satisfied A simple anti duplication rule prevents repeated triggers on the same structure These checks are implemented directly in the bullish detection block. 6. Bearish SMT Condition (HH vs LH) A bearish SMT event is defined as: Primary forms a higher high (last high > previous high) Comparison forms a lower high (last high < previous high) Inverse correlation flips the comparison rule Range checks, minimum difference filtering, and duplicate protection apply similarly These checks are implemented in the bearish detection block. 7. Percentage Difference Filter The optional “Min Price Diff (%)” filter measures the relative distance between the last two primary swing prices. This prevents very small structural changes from being treated as valid SMT signals. priceDiffPerc = math.abs(lastSwing.price - prevSwing.price) / prevSwing.price * 100.0 The divergence condition is only allowed to trigger if this value exceeds the user defined threshold. priceOk = priceDiffPerc >= minPriceDiff This filter is especially useful on higher timeframes or during low volatility conditions, where micro structure noise can otherwise produce misleading signals. 8. Visualization and Output When a divergence is confirmed, the script: Stores the event in a divergence array (limited by “Max Divergences to Display”) Draws a directional SMT label with a tooltip (optional) Draws connecting lines using time based coordinates for clean alignment (optional) It also updates an information table on the last bar only, and exposes alertconditions for automation workflows.
Indikator Pine Script®
oleh Kodexius
2
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure. It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment. █ USAGE MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned? For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates. For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail. 🔹 The 4-State Model The indicator classifies markets into four distinct regimes: • Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation. • Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion. • Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing. • Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals. 🔹 Reading the Pressure Histogram The histogram displays the composite Pressure Score (range approximately -100 to +100): • Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported. • Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained. • Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise. 🔹 The 5-Stage Calculation MPR synthesizes five analytical stages into the final state: 1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price. 2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop. 3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption. 4. Composite Pressure: Combines follow-through and compression into a single directional score. 5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering. █ SETTINGS Core Settings • ATR Length: Period for volatility normalization. Default 14. • Baseline Lookback: Period for compression and efficiency baselines. Default 20. • Volume Average Length: Period for stress calculation baseline. Default 20. State Classification • Release Threshold: Pressure score above this = Release. Default +5. • Suppressed Threshold: Pressure score below this = Suppressed. Default -5. • Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30. • Persistence Bars: Bars required to confirm state change. Default 3. • Stability Lookback: Period for stability calculation. Default 20. • Stability Threshold: Below this = forced Transition state. Default 0.5. Visual Settings • Show Pressure Histogram: Display the main pressure score histogram. • Show Zero Line: Display the zero reference line. • Show Background Tint: Subtle background color by state (default OFF). Data Window • Show Data Window Values: Export all calculated scores for analysis. █ INTERPRETATION GUIDE When to Use Trend Strategies (Release): • Histogram tall and positive • Teal coloring confirmed • Price making efficient higher highs or lower lows When to Use Mean Reversion (Suppressed): • Histogram flat or negative • Grey coloring confirmed • Price oscillating without follow-through When to Wait (Transition): • Amber coloring • Mixed signals — don't force trades • Wait for state to resolve When to Expect Reversals (Trap): • Magenta coloring • High volume moves that don't stick • Often occurs at structural inflection points █ COMPLEMENTARY TOOLS MPR pairs well with: • Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime • Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection • Market Efficiency Ratio (MER) — Validates follow-through quality █ SUITABLE MARKETS Works across all liquid markets: • Equities: SPY, QQQ, liquid single stocks • Futures: ES, NQ, CL, GC • Crypto: BTC, ETH • Forex: Major pairs Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions. █ OPEN SOURCE This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Indikator Pine Script®
oleh Interakktive
1
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After) This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays. It analyzes historical price and volume behavior to determine: • When a Pre-Dump phase typically starts • When selling pressure statistically peaks • When the After-Dump phase usually occurs The result is a time-based overlay with three zones: 🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump ⚠️ This is not a signal indicator. It does not predict price direction. It provides risk-timing context only. Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
Indikator Pine Script®
oleh Astroji_bera
Liquidity Sweep Guardian (Universal % or point based) Liquidity Sweep Guardian - Complete User Guide ## Overview The **Liquidity Sweep Guardian** is a visual warning system designed to prevent premature counter-trend trades (fades) near Previous Day High (PDH) and Previous Day Low (PDL) levels. This indicator helps you avoid one of the most common trading mistakes: fading too early before liquidity sweeps complete. --- ## 🎯 Core Trading Principle ### **THE GOLDEN RULE: Don't Fade Until It's Unlocked** Price often **accelerates into key levels** to sweep liquidity before reversing. Trading against this momentum is extremely dangerous. **The Process:** 1. **Danger Zone** (Red/White Box) = ⚠️ **DO NOT FADE** - Sweep likely incoming 2. **Sweep Occurs** (Triangle marker appears) = Price penetrates the level 3. **Reclaim Happens** (Price returns above/below level) = Level is tested 4. **🔓 UNLOCKED** (Gold border, green label) = **NOW you may CONSIDER a fade** > **Important:** "UNLOCKED" means you may now *consider* a fade setup. It is NOT a trade signal itself. You still need your entry confirmation, risk management, and trade plan. --- ## 📊 Visual Elements Explained ### 1. **Danger Zone Boxes (Red Border by Default)** **Two types of zones around PDH/PDL:** - **Outer Danger Zone** (White fill): ±75pts (or 0.30%) around the level - Indicates proximity to a key level where sweeps commonly occur - Yellow/cautious trading zone - **Inner Critical Zone** (Black fill): ±25pts (or 0.10%) around the level - Highest probability area for liquidity sweep traps - Avoid fading here at all costs **What to do:** - When price enters these zones, **wait and watch** - Do not initiate counter-trend positions - Allow the sweep to play out ### 2. **Unlocked Zones (Gold Border #ffeb3b)** When a zone turns **gold/yellow** with green fill: - The level has been swept AND reclaimed - The liquidity grab is complete - You may now look for fade opportunities with proper confirmation ### 3. **PDH/PDL Lines** - **PDH Line** (Red): Previous Day High with price label - **PDL Line** (Green): Previous Day Low with price label - These are your key reference levels for the session ### 4. **Sweep Labels** **Triangle Markers (SWEEP):** - **Green Triangle** = Clean sweep (10-25pts penetration) - **Orange Triangle** = Extended sweep (25-50pts penetration) - **Red Triangle** = Deep penetration (50+ pts) - likely continuation, not reversal **Warning Labels:** - **⚠️ DEEP CONTINUATION?** = Penetration too deep, probably NOT a reversal setup **Unlock Labels:** - **🔓 LONG UNLOCKED** = PDL swept and reclaimed, may consider long fades - **🔓 SHORT UNLOCKED** = PDH swept and reclaimed, may consider short fades --- ## ⚙️ Settings Guide ### **Calculation Mode** **Use Percentage Mode (Default: ON)** - ✅ **Enabled**: Universal mode - works on NQ, ES, RTY, stocks, crypto, forex - ❌ **Disabled**: Fixed points mode - for specific instruments only **When to use each:** - **Percentage Mode**: Trading multiple instruments, or instruments with varying price levels - **Fixed Points Mode**: Single instrument focus (e.g., only trading NQ at current levels) ### **Danger Zone Settings** **Percentage Mode (Default for Universal Use):** - **Danger Zone**: 0.30% each side (≈75pts on NQ@25,000) - **Critical Zone**: 0.10% each side (≈25pts on NQ@25,000) **Fixed Points Mode (For NQ Specifically):** - **Danger Zone**: 75 points each side - **Critical Zone**: 25 points each side **Adjustment Tips:** - For more volatile instruments: Increase percentages/points - For less volatile instruments: Decrease percentages/points - For higher timeframes: Use wider zones - For lower timeframes: Use tighter zones ### **Sweep Classification** **What defines a "real" sweep:** - **Minimum**: 10pts / 0.04% - Shallow penetration may not grab enough liquidity - **Optimal**: 10-25pts / 0.04-0.10% - "Goldilocks zone" for reversal setups - **Extended**: 25-50pts / 0.10-0.20% - Deeper sweep, less reliable - **Continuation**: 50+pts / 0.20%+ - Too deep, likely NOT reversing **Max Bars for Reclaim**: 5 bars (default) - Price should reclaim the level relatively quickly - If it takes too long, the sweep may have failed ### **Visual Customization** **Box Settings:** - **Left Extension**: 60 bars (how far back the box extends) - **Right Extension**: 50 bars (how far forward the box extends) **Toggle Options:** - Show/Hide Danger Zone Boxes - Show/Hide PDH/PDL Lines - Show/Hide Price Labels on lines - Show/Hide Sweep Labels - Show/Hide Unlock Labels ### **Color Customization** All colors are fully customizable: - Danger Zone Fill & Border - Critical Zone Fill & Border - Unlocked Zone Fill & Border - PDH/PDL Line Colors - PDH/PDL Label Colors - Border Widths (1-5 pixels) - Line Widths (1-5 pixels) --- ## 🎓 Trading Strategy Examples ### **Example 1: Long Setup at PDL** 1. **Morning**: Price approaches PDL (danger zone appears) 2. **Don't Fade Yet**: Price enters critical zone - resist urge to buy 3. **Sweep**: Price drops 15pts below PDL (green triangle appears) 4. **Reclaim**: Price closes back above PDL within 3 bars 5. **🔓 UNLOCKED**: Gold border + "LONG UNLOCKED" label appears 6. **Trade Setup**: Now look for bullish confirmation (order flow, structure, etc.) ### **Example 2: Avoiding a Trap at PDH** 1. **Afternoon**: Price rallies into PDH danger zone 2. **Temptation**: You want to short here (it "looks toppy") 3. **Sweep**: Price breaks 50pts above PDH (red triangle + ⚠️ warning) 4. **Continuation**: Deep penetration suggests continuation, not reversal 5. **Result**: No unlock occurs, price keeps running higher - trap avoided! ### **Example 3: Failed Unlock (No Trade)** 1. Price sweeps PDL by 12pts (green triangle) 2. Price struggles to reclaim PDL, stays below for 10+ bars 3. No "UNLOCKED" label appears 4. **Correct Action**: Do not fade - sweep failed to reclaim --- ## 📱 Alerts The indicator includes built-in alerts for: - **Entering Danger Zones**: Get warned when price approaches PDH/PDL - **Sweep Detection**: Know immediately when a level is swept - **Unlock Signals**: Get notified when fade setups become available - **Continuation Warnings**: Alert when penetration suggests continuation **To Set Alerts:** 1. Right-click indicator → "Add Alert" 2. Select desired alert condition 3. Configure notification preferences --- ## ⚠️ Important Disclaimers ### **What This Indicator IS:** ✅ A visual warning system to prevent premature fades ✅ A tool to identify when liquidity sweeps have completed ✅ A framework for counter-trend trade timing ### **What This Indicator IS NOT:** ❌ A complete trading system ❌ An entry signal generator ❌ A guarantee of trade success ❌ A substitute for proper risk management ### **Always Remember:** - "UNLOCKED" = You may CONSIDER a fade (not a signal to trade) - You still need your own entry confirmation - You still need proper stop placement - You still need position sizing and risk management - Not every unlock leads to a successful trade - Market context and order flow still matter --- ## 🔧 Recommended Settings by Instrument ### **NQ (Nasdaq-100 E-mini Futures)** - Mode: Percentage or Fixed Points - Percentage: 0.30% / 0.10% (default) - Fixed Points: 75pts / 25pts (default) ### **ES (S&P 500 E-mini Futures)** - Mode: Percentage - Danger: 0.25% / Critical: 0.08% - Or Fixed Points: 15pts / 5pts ### **RTY (Russell 2000 E-mini Futures)** - Mode: Percentage - Danger: 0.35% / Critical: 0.12% - Or Fixed Points: 8pts / 3pts ### **Stocks (High Volume Large Caps)** - Mode: Percentage (recommended) - Danger: 0.20-0.40% / Critical: 0.08-0.15% - Adjust based on ATR and volatility ### **Crypto (BTC, ETH)** - Mode: Percentage (essential) - Danger: 0.40-0.60% / Critical: 0.15-0.20% - Higher volatility requires wider zones --- ## 💡 Pro Tips 1. **Use on Higher Timeframes**: Works best on 5min, 15min, 1hr charts 2. **Combine with Order Flow**: Use with footprint/delta for confirmation 3. **Watch Volume**: Strong volume on sweep = better reversal potential 4. **Consider Time of Day**: Sweeps during RTH often more reliable 5. **Multiple Timeframes**: Check if higher TF also shows unlock 6. **Don't Force Trades**: Not every session produces clean setups 7. **Journal Results**: Track which unlock types work best for you 8. **Respect Continuation Signals**: When indicator says "too deep," listen --- ## 🆘 Troubleshooting **Q: Box isn't showing up** A: Check that "Show Danger Zone Boxes" is enabled in Visual Settings **Q: No price on labels** A: Enable "Show Price Labels on Lines" in Visual Settings **Q: Zones seem too tight/wide** A: Adjust Danger Zone % or points based on current volatility **Q: Getting too many/too few unlocks** A: Adjust sweep classification thresholds (min/max penetration) **Q: Want thicker/thinner lines** A: Adjust line widths in "PDH/PDL Line Colors" section **Q: Colors not matching my chart theme** A: Fully customize all colors in the color settings groups --- ## 📚 Additional Resources - Study price action around PDH/PDL on your instruments - Learn about liquidity sweeps and stop hunts - Understand market structure and order flow - Practice identifying setups on replay/historical data - Keep a trading journal of unlock scenarios --- *Remember: The best trade is often the one you don't take. This indicator helps you avoid the trades you shouldn't take, so you can focus on the ones you should.*
Indikator Pine Script®
oleh DeLeBlanc
RSI For Loop | PWRSI For Loop – True Dominance Oscillator RSI For Loop – True Momentum Dominance Through Historical Comparison The Relative Strength Index (RSI) is excellent at measuring recent price change intensity, but a reading of 70 or 30 has completely different implications depending on the market regime. RSI For Loop removes this ambiguity by transforming RSI into a clean, zero-centered dominance / percentile-rank oscillator that always tells you exactly how strong or weak the current momentum is compared to recent history. How it works - Standard RSI is calculated normally (default length 46). - A simple for-loop compares the current RSI value against the actual RSI value of every previous bar inside the user-defined lookback window (default 1 to 99 bars ≈ one full quarter on daily charts). - Current RSI higher → +1 point - Current RSI lower → –1 point The resulting score ranges from –99 to +99 and is naturally centered around zero: 1. +40 = current momentum beats ~70 % of the last 99 bars (approximation) 2. –60 = current momentum is weaker than ~80 % of the last 99 bars (approximation) 3. Near zero = balanced or ranging market Additional statistical layers - A very long rolling median of the score (default 240 periods) serves as a slow, robust dynamic centerline - Upper and lower 3σ bands are calculated from the standard deviation of the underlying RSI median (default length 60) to highlight truly rare extreme-dominance phases - Asymmetric trend thresholds (default Long +15 / Short –28) reflect the empirical observation that downside momentum is usually sharper and faster Origin and development The core idea of using a for-loop on RSI was originally introduced by @viResearch in his invite-only “RSI For Loop” script. While studying that concept I realised I needed an even more regime-robust strength gauge that looks back far enough to capture full market cycles (2–4 months). Therefore I completely rewrote the loop to compare against actual historical RSI values instead of fixed levels, added a 240-period median centerline, 3σ extreme bands, asymmetric thresholds, and visual signals. All parameters were extensively tested across dozens of major assets (BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL + 20+ more cryptos; Magnificent 7 stocks, QQQ, SPX, XAUUSD) with the goal of achieving consistent profitability, high Sortino ratio and low drawdown in simple trend-following setups. The final defaults represent the most robust compromise found — they keep you in real trends for dozens or hundreds of bars while staying almost silent in choppy, ranging markets. Important Note The optimization process is tailored to MY needs and have to be adjusted to you prefered timeframe! I was mainly looking for an indicator that shows the underlying strength of an asset, the trend componant was only a bonus in my eyes. How to use it 1. Green triangle below bar → score crosses above +15 → new bullish regime confirmed → enter or add to longs 2. Magenta triangle above bar → score crosses below –28 → exit longs or go cash/short While score stays clearly positive → bullish bias hold 3. Score touching or breaking the 3σ bands → extreme conviction zone (add to winners or prepare for exhaustion) Strength Recommended defaults (My preference) RSI length 46 Loop range 1–99 Long threshold +15 Short threshold –28 Median length 240 SD length 60 Recommended Universal Settings (Tested for low Max-Drawdown, high Sortino) RSI length 44 Loop range 1–60 Long threshold +14 Short threshold –10 Median length 180 SD length 28 Works on every asset class, but the current settings are tuned for major liquid markets. Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Indikator Pine Script®
oleh PaulWegelin
4
Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark. Important disclaimer This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation. Single asset vs the full portfolio concept This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here: That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like. What this indicator is trying to demonstrate Volatility targeting is a risk scaling framework. The core idea is simple: If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget. If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market. Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products. This script combines that risk scaling with a simple trend direction model: Fast and slow EMA cross determines whether the strategy is long or short. A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH. An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes. How the logic works step by step 1) Returns and simple momentum The script uses log returns for the base return stream: ret = log(price / price ) It also computes a simple momentum value: mom = price / price - 1 In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact. 2) Realized volatility estimation Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized: vol = stdev(ret, lookback) * sqrt(tradingdays) The Trading Days/Year input controls annualization: 252 is typical for traditional markets. 365 is typical for crypto since it trades daily. 3) Volatility targeting multiplier Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target: volMult = targetVol / vol This is then clamped into a reasonable range: Minimum 0.1 so exposure never goes to zero just because vol spikes. Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods. This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage. 4) Scaled return stream The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier: sr = ret * volMult Think of this as the return you would have earned if you scaled exposure to match the volatility budget. 5) Long short direction via EMA cross Direction is determined by a fast and slow EMA cross on price: If fast EMA is above slow EMA, direction is long. If fast EMA is below slow EMA, direction is short. This produces dir as either +1 or -1. The scaled return stream is then signed by direction: avgRet = dir * sr So the strategy return is volatility targeted and directionally flipped depending on trend. 6) Regime filter: ACTIVE vs CASH A second EMA pair acts as a top level regime filter: If fast regime EMA is above slow regime EMA, the system is ACTIVE. If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity. This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure. Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates. 7) Equity curve construction The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar: If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet). If regime was CASH, equity stays flat. Fees are modeled very simply as a per bar penalty on returns: netRet = avgRet - (fee_rate * avgRet) This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage. Benchmark and buy and hold comparison The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare: Strategy equity on the chart symbol. Buy and hold equity for the selected benchmark instrument. By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study. What it plots If enabled, the indicator plots: Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color . Buy and Hold Equity for the chosen benchmark as a line. Optional labels that tag each curve on the right side of the chart. This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold. Metrics table explained If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include: Net Profit (%) total return relative to initial capital. Max DD (%) maximum drawdown computed from equity peaks, stored over time. Win Rate percent of positive return bars. Annual Mean Returns (% p/y) mean daily return annualized. Annual Stdev Returns (% p/y) volatility of daily returns annualized. Variance of annualized returns. Sortino Ratio annualized return divided by downside deviation, using negative return stdev. Sharpe Ratio risk adjusted return using the risk free rate input. Omega Ratio positive return sum divided by negative return sum. Gain to Pain total return sum divided by absolute loss sum. CAGR (% p/y) compounded annual growth rate based on time since start date. Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean. Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance. Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness. Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented. How to interpret the system conceptually Vol targeting effect When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget. This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend. Long short directional effect Because direction is an EMA cross: In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction. In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most. Regime filter effect The 50 and 200 style filter tries to: Keep the system active in sustained up regimes. Reduce exposure during long down regimes or extended weakness. It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms. Common applications This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for: Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes. System comparison see how a simple trend model behaves with and without vol scaling. Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns. Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic. Tuning guidance Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes. Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends. Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower. Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions. Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction. Final note This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
Indikator Pine Script®
oleh BackQuant
2
Lead/Lag Correlation (Quant Lab)How to use it? (Briefly) • otherSymbol: The asset you think could be the leader • Example: If you are on a BTC chart → BINANCE:ETHUSDT, TOTAL3, USDT.D etc. • lagBars: • If you say 5: You are looking to see if there is a correlation between the movement of the other instrument 5 bars ago and your current movement. • In other words, is the other one leading? • corr (green/red line): • Close to +1 → strong positive correlation • Close to -1 → strong negative correlation • Close to 0 → no correlation Lead/Lag interpretation: • If the correlation is high for a specific lagBars (e.g., 0.7+): ➜ The otherSymbol you chose could be a strong "leader" for your current chart. In other words, its movement 5 bars ago is now explaining yours.
Indikator Pine Script®
oleh akmans
RSI Median DeviationRSI Median Deviation – Adaptive Statistical RSI for High-Probability Extremes The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder in 1978 to measure the magnitude of recent price changes and identify potential overbought or oversold conditions. It calculates the ratio of upward to downward price movements over a specified period, scaled to 0-100. However, standard RSI often relies on fixed thresholds like 70/30, which can produce unreliable signals in varying market regimes due to their lack of adaptability to the actual distribution of RSI values. This indicator was developed because I needed a reliable tool for spotting intermediate high-probability bottoms and tops. Instead of arbitrary horizontal lines, it uses the RSI’s own historical median as a dynamic centerline and measures how far the current RSI deviates from that median over a chosen lookback period. The main signals are triggered only at 2 standard deviation (2σ) extremes — statistically rare events that occur roughly 5 % of the time under a normal distribution. I selected 2σ because it is extreme enough to be meaningful yet frequent enough for practical trading. For oversold signals I further require RSI to be below 42, a filter that significantly improved results in my mean-reversion tests (enter on oversold, exit on the first bar the condition is no longer true). The combination of percentile median + standard deviation bands is deliberate: the median is far more robust to outliers than a simple average, while the SD bands automatically adjust to the current volatility of the RSI itself, producing adaptive envelopes that work equally well in ranging and trending markets. Underlying Concepts and Calculations Base RSI: RSI = 100 − (100 / (1 + RS)), RS = average gain / average loss (default length 10). Percentile Median: 50th percentile of the last "N" RSI values (default 28 = 4 weeks) → dynamic, outlier-resistant centerline. Standard Deviation Bands: rolling stdev of RSI (default length 27 = = 4 weeks (almost)) → bands = median ± 1σ / 2σ. Optional Dynamic MA Envelopes: user-selectable moving average (TEMA, WMA, etc., default WMA length 37) for additional momentum context. Trend Bias Coloring Independent of the statistical extremes, the RSI line itself is colored green when above the user-defined Long Threshold (default 60) and red when below the Short Threshold (default 47). This provides an instant bullish/bearish bias overlay similar to classic RSI usage, without interfering with the main 2σ extreme signals. Extremes are highlighted with background color (green for oversold 2σ + RSI<42, magenta for overbought 2σ) and small diamond markers for ultra-extremes (RSI <25 or >85). Originality and Development Rationale The indicator was built and refined through extensive testing on dozens of assets including major cryptocurrencies: (BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL and many more), the Magnificent 7 stocks,, QQQ, SPX, and gold. Default parameters were chosen to deliver consistent profitability in simple mean-reversion setups while maximizing Sortino ratio and minimizing maximum drawdown across this broad universe — ensuring the settings are robust and not overfitted to any single instrument or timeframe. How to Use It Ideal for swing / position trading on the 1h to daily charts (the same defaults work). Oversold (high-probability long): RSI crosses below lower 2σ band AND RSI < 42 → green background → enter long, exit the first bar the condition disappears. Overbought (high-probability short): RSI crosses above upper 2σ band → magenta background → enter short, exit on opposite signal or at median. (Shorts were not tested, it's only an idea) Use the green/red RSI line coloring for quick trend context and to avoid fighting strong momentum. Always confirm with price action and manage risk appropriately. This indicator is not a standalone trading system. Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Indikator Pine Script®
oleh PaulWegelin
2
Standard Deviation Levels with Settlement Price and VolatilityStandard Deviation Levels with Settlement Price and Volatility. This indicator plots the standard deviation levels based on the settlement price and the implied volatility. It works for all Equity Stocks and Futures. For Futures Symbol Volatility Symbol (Implied Volatility) NQ VXN ES VIX YM VXD RTY RVX CL OVX GC GVZ BTC DVOL The plot gives you an ideas that the price has what probability staying in the range of 1SD,2SD,3SD ( In normal distribution method) Please provide the feedback or comments if you find any improvements
Indikator Pine Script®
oleh ASstocks
Granger Causality Flow IndicatorGranger Causality Flow Indicator █ OVERVIEW The Granger Causality Flow Indicator is a statistical analysis tool designed to identify predictive relationships between two assets (Symbol X and Symbol Y). In econometrics, "Granger Causality" does not test for actual physical causation (e.g., rain causes mud); rather, it tests for predictive causality . This script is designed to answer a specific question for traders: "Does the past price action of Asset X provide statistically significant information about the future price of Asset Y, beyond what is already contained in the past prices of Asset Y itself?" This tool is particularly useful for Pairs Traders , Arbitrageurs , and Macro Analysts looking to identify lead-lag relationships between correlated assets (e.g., BTC vs. ETH, NASDAQ vs. SPY, or Gold vs. Silver). █ CONCEPTS & CALCULATIONS To determine if Symbol X "Granger-causes" Symbol Y, this script utilizes a variance-reduction approach based on Auto-Regressive (AR) models. Due to the runtime constraints of Pine Script™, we employ an optimized proxy for the standard Granger test using an AR(1) logic (looking back 1 period). The calculation performs a comparative test over a rolling window (Default: 50 bars): The Restricted Model (Baseline): We attempts to predict the current value of Y using only the previous value of Y (Auto-Regression). We measure the error of this prediction (the "Residuals") and calculate the Variance of the Restricted Model (Var_R) . The Unrestricted Model (Proxy): We then test if the past value of X can explain the errors made by the Restricted Model. If X contains predictive power, including it should reduce the error variance. We calculate the remaining Variance of the Unrestricted Model (Var_UR) . The GC Score: The script calculates a score based on the ratio of variance reduction: Score = 1 - (Var_UR / Var_R) If the Score is High (> 0) : It implies that including X significantly reduced the prediction error for Y. Therefore, X "Granger-causes" Y. If the Score is Low or 0 : It implies X added no predictive value. █ HOW TO USE This indicator is not a simple Buy/Sell signal generator; it is a context filter for cross-asset analysis. 1. Setup Symbol 1 (X): The potential "Leader" (e.g., BINANCE:BTCUSDT). Symbol 2 (Y): The potential "Follower" (e.g., BINANCE:ETHUSDT). Differencing: Enabled by default. This checks the changes in price rather than absolute price, which is crucial for statistical stationarity. 2. Interpreting the Visuals The script changes the background color and displays a table to indicate the current flow of causality: Green Background (X → Y): Symbol 1 is leading Symbol 2. Price moves in Symbol 1 are statistically likely to foreshadow moves in Symbol 2. Orange Background (Y → X): Symbol 2 is leading Symbol 1. The relationship has inverted. Blue Background (Bidirectional): Both assets are predicting each other (tight coupling or feedback loop). Gray/No Color: No statistically significant relationship detected. 3. Trading Application Trend Confirmation: If you trade Symbol Y, wait for the background to turn Green . This indicates that the "Leader" (Symbol X) is currently exerting predictive influence, potentially making trend-following setups on Symbol Y more reliable. Divergence Warning: If you are trading a correlation pair and the causality breaks (turns Gray), the correlation may be weakening, signaling a higher risk of divergence. █ SETTINGS Symbol 1 (X) & Symbol 2 (Y): The two tickers to analyze. Use Differencing: (Default: True) Converts prices to price-changes. Highly recommended for accurate statistical results to avoid spurious regression. Calculation Window: The number of bars used to compute the variance and coefficients. Larger windows provide smoother, more stable signals but react slower to regime changes. Significance Threshold: (0.01 - 0.99) The minimum variance reduction score required to trigger a causal signal. █ DISCLAIMER This tool provides statistical analysis of historical price data and does not guarantee future performance. Granger Causality is a measure of predictive capability, not necessarily fundamental causation. Always use appropriate risk management.
Indikator Pine Script®
oleh MASTERTOP_ASTRAY
Bästa Bob Multi-RSI 😎👊✅ RSI 7 → Fast impulse indicator • Shows micro-movements • Reacts instantly to liquidity sweeps • Perfect for entry timing ✅ RSI 14 → Macro momentum indicator • Captures the real trend • Filters out noise • Confirms larger market movements When both are in sync → you get true market direction plus perfect timing. 👉 How to Use RSI 7 + RSI 14 1️⃣ Entry Signals (the best method) BUY when: • RSI 7 turns up from oversold • RSI 14 is also sloping upward or gets crossed by RSI 7 from below → Extremely accurate right after a liquidity sweep. SELL when: • RSI 7 turns down from overbought • RSI 14 is sloping downward or gets crossed by RSI 7 from above → Works insanely well for fakeouts and FVG entries. 2️⃣ Trend Filter • When RSI 14 stays above 50 → market is bullish • When RSI 14 stays below 50 → bearish RSI 7 is then used only for timing entries. 3️⃣ A++ Setups (your favorite ones 😉🔥) The best signals appear when: ✔ RSI 7 crosses RSI 14 at the same time as: • a liquidity sweep happens • price taps into an FVG or Order Block • volume reacts • your trend filter (EMA, HTF) supports the move This combo is criminally effective when scalping BTC, NAS100, and XAUUSD.
Indikator Pine Script®
oleh kristian_vadasz
Gyspy Bot Trade Engine - V1.2B - Alerts - 12-7-25 - SignalLynxGypsy Bot Trade Engine (MK6 V1.2B) - Alerts & Visualization Brought to you by Signal Lynx | Automation for the Night-Shift Nation 🌙 1. Executive Summary & Architecture Gypsy Bot (MK6 V1.2B) is not merely a strategy; it is a massive, modular Trade Engine built specifically for the TradingView Pine Script V6 environment. While most tools rely on a single dominant indicator to generate signals, Gypsy Bot functions as a sophisticated Consensus Algorithm. Note: This is the Indicator / Alerts version of the engine. It is designed for visual analysis and generating live alert signals for automation. If you wish to see Backtest data (Equity Curves, Drawdown, Profit Factors), please use the Strategy version of this script. The engine calculates data from up to 12 distinct Technical Analysis Modules simultaneously on every bar closing. It aggregates these signals into a "Vote Count" and only fires a signal plot when a user-defined threshold of concurring signals is met. This "Voting System" acts as a noise filter, requiring multiple independent mathematical models—ranging from volume flow and momentum to cyclical harmonics and trend strength—to agree on market direction. Beyond entries, Gypsy Bot features a proprietary Risk Management suite called the Dump Protection Team (DPT). This logic layer operates independently of the entry modules, specifically scanning for "Moon" (Parabolic) or "Nuke" (Crash) volatility events to signal forced exits, preserving capital during Black Swan events. 2. ⚠️ The Philosophy of "Curve Fitting" (Must Read) One must be careful when applying Gypsy Bot to new pairs or charts. To be fully transparent: Gypsy Bot is, by definition, a very advanced curve-fitting engine. Because it grants the user granular control over 12 modules, dozens of thresholds, and specific voting requirements, it is extremely easy to "over-fit" the data. You can easily toggle switches until the charts look perfect in hindsight, only to have the signals fail in live markets because they were tuned to historical noise rather than market structure. To use this engine successfully: Visual Verification: Do not just look for "green arrows." Look for signals that occur at logical market structure points. Stability: Ensure signals are not flickering. This script uses closed-candle logic for key decisions to ensure that once a signal plots, it remains painted. Regular Maintenance is Mandatory: Markets shift regimes (e.g., from Bull Trend to Crab Range). Gypsy Bot settings should be reviewed and adjusted at regular intervals to ensure the voting logic remains aligned with current market volatility. Timeframe Recommendations: Gypsy Bot is optimized for High Time Frame (HTF) trend following. It generally produces the most reliable results on charts ranging from 1-Hour to 12-Hours, with the 4-Hour timeframe historically serving as the "sweet spot" for most major cryptocurrency assets. 3. The Voting Mechanism: How Entries Are Generated The heart of the Gypsy Bot engine is the ActivateOrders input (found in the "Order Signal Modifier" settings). The engine constantly monitors the output of all enabled Modules. Long Votes: GoLongCount Short Votes: GoShortCount If you have 10 Modules enabled, and you set ActivateOrders to 7: The engine will ONLY plot a Buy Signal if 7 or more modules return a valid "Buy" signal on the same closed candle. If only 6 modules agree, the signal is rejected. 4. Technical Deep Dive: The 12 Modules Gypsy Bot allows you to toggle the following modules On/Off individually to suit the asset you are trading. Module 1: Modified Slope Angle (MSA) Logic: Calculates the geometric angle of a moving average relative to the timeline. Function: Filters out "lazy" trends. A trend is only considered valid if the slope exceeds a specific steepness threshold. Module 2: Correlation Trend Indicator (CTI) Logic: Measures how closely the current price action correlates to a straight line (a perfect trend). Function: Ensures that we are moving up with high statistical correlation, reducing fake-outs. Module 3: Ehlers Roofing Filter Logic: A spectral filter combining High-Pass (trend removal) and Super Smoother (noise removal). Function: Isolates the "Roof" of price action to catch cyclical turning points before standard moving averages. Module 4: Forecast Oscillator Logic: Uses Linear Regression forecasting to predict where price "should" be relative to where it is. Function: Signals when the regression trend flips. Offers "Aggressive" and "Conservative" calculation modes. Module 5: Chandelier ATR Stop Logic: A volatility-based trend follower that hangs a "leash" (ATR multiple) from extremes. Function: Used as an entry filter. If price is above the Chandelier line, the trend is Bullish. Module 6: Crypto Market Breadth (CMB) Logic: Pulls data from multiple major tickers (BTC, ETH, and Perpetual Contracts). Function: Calculates "Market Health." If Bitcoin is rising but the rest of the market is dumping, this module can veto a trade. Module 7: Directional Index Convergence (DIC) Logic: Analyzes the convergence/divergence between Fast and Slow Directional Movement indices. Function: Identifies when trend strength is expanding. Module 8: Market Thrust Indicator (MTI) Logic: A volume-weighted breadth indicator using Advance/Decline and Volume data. Function: One of the most powerful modules. Confirms that price movement is supported by actual volume flow. Recommended setting: "SSMA" (Super Smoother). Module 9: Simple Ichimoku Cloud Logic: Traditional Japanese trend analysis. Function: Checks for a "Kumo Breakout." Price must be fully above/below the Cloud to confirm entry. Module 10: Simple Harmonic Oscillator Logic: Analyzes harmonic wave properties to detect cyclical tops and bottoms. Function: Serves as a counter-trend or early-reversal detector. Module 11: HSRS Compression / Super AO Logic: Detects volatility compression (HSRS) or Momentum/Trend confluence (Super AO). Function: Great for catching explosive moves resulting from consolidation. Module 12: Fisher Transform (MTF) Logic: Converts price data into a Gaussian normal distribution. Function: Identifies extreme price deviations. Uses Multi-Timeframe (MTF) logic to ensure you aren't trading against the major trend. 5. Global Inhibitors (The Veto Power) Even if 12 out of 12 modules vote "Buy," Gypsy Bot performs a final safety check using Global Inhibitors. Bitcoin Halving Logic: Prevents trading during chaotic weeks surrounding Halving events (dates projected through 2040). Miner Capitulation: Uses Hash Rate Ribbons to identify bearish regimes when miners are shutting down. ADX Filter: Prevents trading in "Flat/Choppy" markets (Low ADX). CryptoCap Trend: Checks the total Crypto Market Cap chart for broad market alignment. 6. Risk Management & The Dump Protection Team (DPT) Even in this Indicator version, the RM logic runs to generate Exit Signals. Dump Protection Team (DPT): Detects "Nuke" (Crash) or "Moon" (Pump) volatility signatures. If triggered, it plots an immediate Exit Signal (Yellow Plot). Advanced Adaptive Trailing Stop (AATS): Dynamically tightens stops in low volatility ("Dungeon") and loosens them in high volatility ("Penthouse"). Staged Take Profits: Plots TP1, TP2, and TP3 events on the chart for visual confirmation or partial exit alerts. 7. Recommended Setup Guide When applying Gypsy Bot to a new chart, follow this sequence: Set Timeframe: 4 Hours (4H). Tune DPT: Adjust "Dump/Moon Protection" inputs first. These filter out bad signals during high volatility. Tune Module 8 (MTI): Experiment with the MA Type (SSMA is recommended). Select Modules: Enable/Disable modules based on the asset's personality (Trending vs. Ranging). Voting Threshold: Adjust ActivateOrders to filter out noise. Alert Setup: Once visually satisfied, use the "Any Alert Function Call" option when creating an alert in TradingView to capture all Buy/Sell/Close events generated by the engine. 8. Technical Specs Engine Version: Pine Script V6 Repainting: This indicator uses Closed Candle data for all Risk Management and Entry decisions. This ensures that signals do not vanish after the candle closes. Visuals: Blue Plot: Buy/Sell Signal. Yellow Plot: Risk Management (RM) / DPT Close Signal. Green/Lime/Olive Plots: Take Profit hits. Disclaimer: This script is a complex algorithmic tool for market analysis. Past performance is not indicative of future results. Cryptocurrency trading involves substantial risk of loss. Use this tool to assist your own decision-making, not to replace it. 9. About Signal Lynx Automation for the Night-Shift Nation 🌙 Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management. We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to: Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search. License: Mozilla Public License 2.0 (Open Source). If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Indikator Pine Script®
oleh SignalLynx
Liquidations (TV Source / Manual / Proxy) Cruz Pro Stack + Liquidations (TV Source / Manual / Proxy) is a high-confluence crypto trading indicator built to merge reversal detection, volatility timing, structure confirmation, and liquidation pressure into one clean decision engine. This script combines five pro-grade components: 1) RSI Divergence (Regular + Hidden) Detects early momentum shifts at tops and bottoms to anticipate reversals before price fully reacts. 2) BBWP (Bollinger Band Width Percentile) Identifies volatility compression and expansion cycles to time breakout conditions and avoid low-quality chop. 3) Market Structure (BOS / CHOCH proxy) Confirms trend continuation or change-of-character using swing breaks for more reliable directional bias. 4) Liquidations Layer (3 Modes) Adds liquidation-driven context for where price is likely to squeeze or flush next: TV Source: Use TradingView’s built-in Liquidations plot when available. Manual Totals: Paste 12h/24h/48h long/short totals for higher-level regime bias. Proxy (Volume Shock): A fallback approximation for spot charts using volume + candle direction. The script automatically converts your chart timeframe into rolling 12/24/48-hour windows, then computes a weighted liquidation bias and a spike detector to flag potential exhaustion moves. 5) Confluence Score + Signals A simple scoring engine highlights high-probability setups when multiple factors align. Signals are printed only when divergence + structure + volatility context agree with liquidation pressure. How to use Best on BTC/ETH perps across 15m–4H. For maximum accuracy: Add TradingView’s Liquidations indicator (if your exchange/symbol supports it). Set Liquidations Mode = TV Source. Select the Liquidations plot as the source. If that plot can’t be selected, switch to Proxy or Manual Totals. What this indicator is designed to improve Earlier reversal recognition Cleaner breakout timing Structure-confirmed entries Better risk management around liquidation-driven moves Fewer low-quality trades during dead volatility
Indikator Pine Script®
oleh deficryptoking