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RSI Price Sensitivity v3 [Quant-Stable]The RSI Price Sensitivity v3 indicator measures how efficiently and consistently price responds to RSI movement — revealing when RSI momentum actually matters, and when it’s just noise. It’s designed as a quant-grade analytical tool combining RSI, ADX, volatility, regression, and correlation logic to form a single normalized “sensitivity” score. Core Concept Traditional RSI often moves without price follow-through. This indicator quantifies the strength of the connection between RSI and price, dynamically adapting to volatility and trend context. It blends: 📊 RSI-Price Correlation: Statistical relationship between RSI momentum and price momentum. ⚙️ Efficiency Ratio: Measures how direct and smooth the RSI-price relationship is (noise filtering). 📈 Regression Confidence: Tests whether price moves are statistically aligned with RSI structure. 💡 Momentum Alignment: Checks directional agreement between RSI trend and price trend, weighted by ADX. All components are dynamically normalized and weighted into one composite sensitivity score.
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WSR1 tarafından
Moving Average Ribbon AZlyMoving Average Ribbon AZly The Moving Average Ribbon AZly is a flexible trend-following indicator that visualizes market direction, strength, and transition phases using multiple customizable moving averages. It helps traders instantly identify when short-, medium-, and long-term trends align or diverge. 🔧 How it works Up to six moving averages can be plotted, each with its own: Type (SMA, EMA, SMMA, WMA, VWMA, or HMA) Length, color, and width Custom source input The script also adds adaptive color fills between key pairs: MA1–MA2: short-term momentum MA4–MA5: mid-term bias MA5–MA6: long-term trend Bullish alignment paints green or blue ribbons, while bearish alignment turns them red or pink. The wider the ribbon, the stronger the trend separation. 💡 Why it’s better Unlike typical ribbon indicators, this version offers full per-line customization, adaptive color fills, and a clean, high-contrast design that makes trend shifts instantly recognizable . It’s optimized for clarity, flexibility, and smooth performance on any market or timeframe. 🎯 Trading ideas Trend confirmation: Trade only in the direction of the ribbon (green for long, red for short). Early reversals: Watch for the fastest MAs (MA1–MA2) crossing the mid-term pair (MA4–MA5) as early signals of a trend shift. Momentum compression: When the ribbon narrows or colors alternate rapidly, it signals consolidation or potential breakout zones. Pullback entries: Enter trades when price bounces off the outer ribbon layer in the direction of the dominant trend. Multi-timeframe use: Combine with a higher timeframe ribbon to confirm overall market bias. 📊 Recommended use Works on all markets and timeframes. Ideal for trend-following, swing trading, and visual confirmation of price structure.
Pine Script® göstergesi
YunakAZly tarafından
gex 1//@version=5 indicator("SPY Gamma Levels ", overlay=true) // Generated from GEX Scanner at 2025-10-06 16:30 UTC // Symbol: SPY | Spot: 671.39 // Analysis includes all expirations // Symbol Validation - Only display levels for correct ticker expectedSymbol = "SPY" isCorrectSymbol = syminfo.ticker == expectedSymbol // Warning System for Wrong Symbol if not isCorrectSymbol and barstate.islast warningTable = table.new(position.top_right, 1, 1, bgcolor=color.red, border_width=2) table.cell(warningTable, 0, 0, "⚠️ WRONG SYMBOL! This script is for " + expectedSymbol + " Current chart: " + syminfo.ticker, text_color=color.white, bgcolor=color.red, text_size=size.normal) // Zero Gamma Level zero_gamma = 471.66 // Max Pain Strike max_pain = 659.00 // Major Resistance Levels (Negative Gamma) resistance_1 = 655.00 // GEX: -215M (minor) resistance_2 = 663.00 // GEX: -104M (minor) resistance_3 = 668.00 // GEX: -57M (minor) // Major Support Levels (Positive Gamma) support_1 = 675.00 // GEX: +708M (moderate) support_2 = 680.00 // GEX: +595M (moderate) support_3 = 670.00 // GEX: +458M (minor) // Plot Key Levels plot(isCorrectSymbol ? zero_gamma : na, "Zero Gamma", color=color.yellow, linewidth=3, style=plot.style_line) if isCorrectSymbol and barstate.islast label.new(bar_index, zero_gamma, "Zero Gamma $471.66", color=color.yellow, style=label.style_label_left, textcolor=color.black, size=size.normal) plot(isCorrectSymbol ? max_pain : na, "Max Pain", color=color.purple, linewidth=2, style=plot.style_circles) if isCorrectSymbol and barstate.islast label.new(bar_index, max_pain, "Max Pain $659.00", color=color.purple, style=label.style_label_right, textcolor=color.white, size=size.small) // TOP 3 RESISTANCE LEVELS (Strongest Negative Gamma) plot(isCorrectSymbol ? resistance_1 : na, "★R1: $655", color=color.red, linewidth=4, style=plot.style_line) if isCorrectSymbol and barstate.islast label.new(bar_index, resistance_1, "★R1 (TOP) $655 -215M", color=color.red, style=label.style_label_left, textcolor=color.white, size=size.normal) plot(isCorrectSymbol ? resistance_2 : na, "★R2: $663", color=color.new(color.red, 20), linewidth=3, style=plot.style_line) if isCorrectSymbol and barstate.islast label.new(bar_index, resistance_2, "★R2 (TOP) $663 -104M", color=color.new(color.red, 20), style=label.style_label_left, textcolor=color.white, size=size.normal) plot(isCorrectSymbol ? resistance_3 : na, "★R3: $668", color=color.new(color.red, 40), linewidth=2, style=plot.style_line) if isCorrectSymbol and barstate.islast label.new(bar_index, resistance_3, "★R3 (TOP) $668 -57M", color=color.new(color.red, 40), style=label.style_label_left, textcolor=color.white, size=size.normal) // TOP 3 SUPPORT LEVELS (Strongest Positive Gamma) plot(isCorrectSymbol ? support_1 : na, "★S1: $675", color=color.lime, linewidth=4, style=plot.style_line) if isCorrectSymbol and barstate.islast label.new(bar_index, support_1, "★S1 (TOP) $675 +708M", color=color.lime, style=label.style_label_right, textcolor=color.black, size=size.normal) plot(isCorrectSymbol ? support_2 : na, "★S2: $680", color=color.new(color.lime, 20), linewidth=3, style=plot.style_line) if isCorrectSymbol and barstate.islast label.new(bar_index, support_2, "★S2 (TOP) $680 +595M", color=color.new(color.lime, 20), style=label.style_label_right, textcolor=color.black, size=size.normal) plot(isCorrectSymbol ? support_3 : na, "★S3: $670", color=color.new(color.lime, 40), linewidth=2, style=plot.style_line) if isCorrectSymbol and barstate.islast label.new(bar_index, support_3, "★S3 (TOP) $670 +458M", color=color.new(color.lime, 40), style=label.style_label_right, textcolor=color.black, size=size.normal) // ==== TOP 3 GAMMA LEVELS SUMMARY ==== // STRONGEST RESISTANCE (Above $671.39): // R1: $655.00 | -215M GEX | MINOR // R2: $663.00 | -104M GEX | MINOR // R3: $668.00 | -57M GEX | MINOR // STRONGEST SUPPORT (Below $671.39): // S1: $675.00 | +708M GEX | MODERATE // S2: $680.00 | +595M GEX | MODERATE // S3: $670.00 | +458M GEX | MINOR // ===================================== // Usage Notes: // - ★ TOP 3 LEVELS: Thickest lines (4px→3px→2px) with star symbols // - Resistance levels (red): Negative gamma, potential price ceiling // - Support levels (lime): Positive gamma, potential price floor // - Zero Gamma (yellow): Gamma flip point - thicker line for visibility // - Max Pain (purple): Strike with maximum option value decay // - Color intensity: Darker = stronger level (top levels are most prominent) // - Labels show strike prices, GEX values, and ranking for easy reference // - Focus on TOP 3 levels for key trading decisions // - Update this indicator throughout the trading day as levels change
Pine Script® göstergesi
lulusong tarafından
Multi-Symbol and Multi-Timeframe Supertrend Screener [Pineify]Multi-Symbol and Multi-Timeframe Supertrend Screener Advanced Supertrend screener for TradingView that monitors 6 symbols across 4 timeframes simultaneously. Features customizable ATR periods, visual alerts, and color-coded trend direction displays for efficient market scanning. Key Features The Supertrend Screener is a comprehensive multi-symbol market monitoring tool that displays Supertrend indicator signals across multiple assets and timeframes in a single, organized table view. This screener eliminates the need to manually check individual charts by providing real-time trend analysis for up to 6 symbols across 4 different timeframes simultaneously. How It Works The screener utilizes the proven Supertrend indicator methodology, which combines Average True Range (ATR) and price action to determine trend direction. The core calculation involves: Computing the ATR using a customizable period (default: 10) Applying a multiplication factor (default: 3.0) to create dynamic support/resistance levels Determining trend direction based on price position relative to these levels Displaying results through color-coded cells with customizable text labels The indicator employs the request.security() function to fetch data from multiple symbols and timeframes, ensuring accurate cross-market analysis without chart switching. Trading Ideas and Insights This screener excels in several trading scenarios: Market Overview: Quickly assess overall market sentiment across major cryptocurrencies or forex pairs Trend Confirmation: Verify trend alignment across multiple timeframes before entering positions Divergence Spotting: Identify when shorter timeframes diverge from longer-term trends Opportunity Scanning: Locate assets showing consistent trend direction across all monitored timeframes Risk Management: Monitor multiple positions simultaneously to spot potential trend reversals The screener is particularly effective for swing traders and position traders who need to monitor multiple assets without constantly switching between charts. How Multiple Indicators Work Together While this screener focuses specifically on the Supertrend indicator, it incorporates several complementary technical analysis components: ATR Foundation: Uses Average True Range to adapt to market volatility, making the indicator responsive to current market conditions Multi-Timeframe Analysis: Combines signals from 1-minute, 5-minute, 10-minute, and 30-minute timeframes to provide comprehensive trend perspective Price Action Integration: The Supertrend calculation inherently incorporates price action by using high, low, and close values Volatility Adjustment: The ATR-based calculation ensures the indicator adapts to different volatility regimes across various assets The synergy between these elements creates a robust screening system that accounts for both momentum and volatility , providing more reliable trend identification than single-timeframe analysis. Unique Aspects Several features distinguish this screener from standard Supertrend implementations: Table-Based Display: Presents data in an organized, space-efficient format rather than overlay plots Customizable Visual Elements: Full control over text labels, colors, and background styling Multi-Asset Capability: Monitors 6 different symbols simultaneously without performance degradation Efficient Resource Usage: Optimized code structure minimizes calculation overhead Professional Presentation: Clean, institutional-grade visual design suitable for trading desks How to Use Symbol Configuration: Input your desired symbols in the Symbol section (default includes major crypto pairs) Timeframe Setup: Configure four timeframes for analysis (default: 1m, 5m, 10m, 30m) Supertrend Parameters: Adjust the Factor (sensitivity) and ATR Period according to your trading style Visual Customization: Set custom text labels and colors for up/down trends Market Analysis: Monitor the table for consistent signals across timeframes and symbols Interpretation Guide: - Green cells indicate uptrend (price above Supertrend line) - Red cells indicate downtrend (price below Supertrend line) - Look for alignment across multiple timeframes for stronger signal confidence Customization The screener offers extensive customization options: Factor Setting: Adjust sensitivity (higher values = less sensitive, fewer signals) ATR Period: Modify lookback period for volatility calculation Text Labels: Customize up/down trend display text Color Scheme: Full RGB color control for text and background elements Symbol Selection: Monitor any TradingView-supported symbols Timeframe Array: Choose any four timeframes for comprehensive analysis Conclusion The Supertrend Screener transforms traditional single-chart analysis into an efficient, multi-dimensional market monitoring system. By combining the reliability of the Supertrend indicator with multi-timeframe and multi-symbol capabilities, this tool empowers traders to make more informed decisions with greater market context. Whether you're managing multiple positions, scanning for new opportunities, or confirming trend direction before entries, this screener provides the comprehensive overview needed for professional trading operations. The clean interface and customizable features make it suitable for traders of all experience levels while maintaining the analytical depth required for serious market analysis. Perfect for day traders, swing traders, and anyone requiring efficient multi-market trend monitoring in a single view.
Pine Script® göstergesi
Pineify tarafından
Reloj Multi-Timeframe RegresivoClock Features: Information panel with: 1 minute, 5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours Time remaining until each bar closes Color-coded visual progress bar Color coding: Green: Bar starting (0-60%) Yellow: Bar halfway through (60-80%) Orange: Bar advanced (80-90%) Red: Bar about to close (90-100%) Additional information: Current system time Exact time in minutes and seconds Precise progress percentage Features: Real-time updating Easy to read and understand Optimized for multi-timeframe trading Perfect for scalping and day trading The clock updates automatically and helps you synchronize your trades with candle closes on different timeframes.
Pine Script® göstergesi
cesarmilenario tarafından
Realtime rVOL w/ Candle Highlight [Blk0ut]About This Script Realtime rVOL Table + Candle Highlight (Presets, No Smoothing) By Blk0ut This tool visualizes real-time relative volume (rVOL) directly on your chart and in a compact table, helping traders identify where intraday participation deviates from the session’s baseline. Unlike standard volume overlays, this script recalculates rVOL dynamically through the session and highlights candles when participation exceeds configurable thresholds — providing a clear picture of ignition zones, volume surges, and potential breakout conditions. Core Features -Realtime rVOL tracking: Displays the current bar’s relative volume ratio compared to a moving baseline of recent bars. -Preset Profiles: Choose from four purpose-built profiles to quickly adjust the rVOL sensitivity to your trading horizon. ---------------------------------------------------------------------- *Opening Rush: 100-bar lookback, threshold 2.5* *RTH 5m: 30-bar lookback, threshold 1.2* *RTH 1hr: 50-bar lookback, threshold 1.5* *RTH 1d+: 100-bar lookback, threshold 1.5* ---------------------------------------------------------------------- RTH-only filter: Option to limit the moving average baseline to regular market hours (09:30–16:00). Candle highlighting: Optionally outlines candles when rVOL exceeds the active threshold to emphasize spikes visually in real time. Table display: Compact dashboard showing current rVOL, raw volume, average baseline, and preset parameters. How To Use Select a preset that matches your timeframe or trading style. Scalpers and open traders can use RTH 5m or Opening Rush. Position or swing traders may prefer RTH 1hr or RTH 1d+. Watch for rVOL readings above the threshold (and colored candle outlines). These often correspond to momentum ignition, news impact, or institutional activity. Combine with VWAP, ORB, or intraday key levels for best confirmation. Notes The table automatically adapts to your chart corner choice. Highlight thresholds can follow the preset or be set manually. Color intensity tiers (High/Medium/Low) can be tuned in settings. Designed for intraday and session-based traders who rely on live volume context rather than end-of-day stats.
Pine Script® göstergesi
Blk0ut tarafından
Session Highs & Lows (Asian, London, NY) — CleanThis indicator automatically plots the highs and lows of the Asian, London, and New York trading sessions. Each session is tracked in real time, and once a session closes, its high and low levels are drawn on the chart and can optionally be extended until the next session. These levels are useful for identifying: • Liquidity zones • Session range breakouts • Reversal points • Intraday structure changes Features: • Marks Asian, London, and New York session highs/lows • Optional line extension for clean market structure mapping • Lightweight and clean (no background colors or clutter) Works on all timeframes — best for 15m–1H intraday analysis.
Pine Script® göstergesi
kevinkoli91 tarafından
HTF & PD/PM LevelsTired of mapping your own levels every morning? Look no further! This script automatically maps out and updates HTF & PD/PM Levels along with ATH. I personally use these as confirmation zones with EMA & VWAP, RSI, and Volume... but alone, these levels mark major support and resistances. What are they? 🏰 HTF Levels — “Big Grown-Up Lines” HTF = Higher Time Frame Think of your price chart like a big map. HTF levels are the important lines from bigger chunks of time: >Daily (yesterday’s close, high, low) >Weekly (this week’s open, high, low, close) >Monthly (this month’s open/close) Why they matter: These are like big walls and floors that price often bounces off or stops at. Big traders (institutions) watch them because they show where a lot of buying or selling happened before. ⏰ PD & PM Levels — “Yesterday & Morning Clues” PD = Previous Day >PDH = Previous Day’s High >PDL = Previous Day’s Low >PDC = Previous Day’s Close PM = Pre-Market >PMH = Pre-Market High >PML = Pre-Market Low >ATH = All-Time High Why they matter: These tell you where price moved when most regular traders weren’t awake yet (pre-market) and where it ended up yesterday. Price often revisits or reacts to these spots. ⚡ How Options Traders Use Them Support & Resistance: If price is near an HTF or PD/PM level, it might stop and turn around there (like a ball hitting a wall) or it might use it as a launchpad to the next level if it breaks. Entry & Exit Spots: Traders might buy calls (bet price goes up) if it breaks above an important level, or puts (bet price goes down) if it breaks below. Risk Management: These levels give clear spots to set stops and targets — “If price breaks this level, I’m out.” Super Simple Picture: HTF = big important levels from days, weeks, months. PD/PM = yesterday’s and morning’s clues where price already moved. Traders use them to guess where price might bounce or break to plan option trades safely.
Pine Script® göstergesi
gyngergod tarafından
Triple Gaussian Smoothed Ribbon [BOSWaves]Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework Overview The Triple Gaussian Smoothed Ribbon is a next-generation market visualization framework built on the principles of Gaussian filtering - a mathematical model from digital signal processing designed to remove noise while preserving the integrity of the underlying trend. Unlike conventional moving averages that suffer from phase lag and overreaction to volatility spikes, Gaussian smoothing produces a symmetrical, low-lag curve that isolates meaningful directional shifts with exceptional clarity. Developed under the Adaptive Gaussian Framework, this indicator extends the classical Gaussian model into a multi-stage smoothing and visualization system. By layering three progressive Gaussian filters and rendering their interactions as a gradient-based ribbon field, it translates market energy into a coherent, visually structured trend environment. Each ribbon layer represents a progressively smoothed component of price motion, producing a high-fidelity gradient field that evolves in sync with real-time trend strength and momentum. The result is a uniquely fluid trend and reversal detection system - one that feels organic, adapts seamlessly across timeframes, and reveals hidden transitions in market structure long before traditional indicators confirm them. Theoretical Foundation The Gaussian filter, derived from the Gaussian function developed by Carl Friedrich Gauss in 1809, operates on the principle of weighted symmetry, assigning higher importance to central price data while tapering influence toward historical extremes following a bell-curve distribution. This symmetrical design minimizes phase distortion and smooths without introducing lag spikes — a stark contrast to exponential or linear filters that sacrifice temporal accuracy for responsiveness. By cascading three Gaussian stages in sequence, the indicator creates a multi-frequency decomposition of price action: The first stage captures immediate trend transitions. The second absorbs mid-term volatility ripples. The third stabilizes structural directionality. The final composite ribbon reflects the market’s dominant frequency - a smoothed yet reactive trend spine - while an independent, heavier Gaussian smoothing serves as a reference layer to gauge whether the primary motion leads or lags relative to broader market structure. This multi-layered Gaussian framework effectively replicates the behavior of a signal-processing filter bank: isolating meaningful cyclical movements, suppressing random noise, and revealing phase shifts with minimal delay. How It Works Triple Gaussian Core Price data is passed through three successive Gaussian smoothing stages, each refining the trend further and removing higher-frequency distortions. The result is a fluid, continuously adaptive baseline that responds naturally to directional changes without overshooting or flattening key inflection points. Adaptive Ribbon Architecture The indicator visualizes its internal dynamics through a five-layer gradient ribbon. Each layer represents a progressively delayed Gaussian curve, creating a color field that dynamically shifts between bullish and bearish tones. Expanding ribbons indicate accelerating momentum and trend conviction. Compressing ribbons reflect consolidation and volatility contraction. The smooth color gradient provides a real-time depiction of energy buildup or dissipation within the trend, making it visually clear when the market is entering a state of expansion, transition, or exhaustion. Momentum-Weighted Opacity Ribbon transparency adjusts according to normalized momentum strength. As trend force builds, colors intensify and layers become more opaque, signifying conviction. When momentum wanes, ribbons fade - an early visual cue for potential reversals or pauses in trend continuation. Candle Gradient Integration Optional candle coloring ties the chart’s candles to the prevailing Gaussian gradient, allowing traders to view raw price action and smoothed wave dynamics as a unified system. This integration produces a visually coherent chart environment that communicates directional intent instantly. Signal Detection Logic Directional cues emerge when the smoother, broader Gaussian curve crosses the faster-reacting Gaussian line, marking structural inflection points in the filtered trend. Bullish shifts : short-term momentum transitions upward through the long-term baseline after a localized trough. Bearish shifts : momentum declines through the baseline following a local peak. To maintain integrity in choppy markets, the framework applies a trend-strength and separation filter, which blocks weak or overlapping conditions where movement lacks conviction. Interpretation The Triple Gaussian Smoothed Ribbon provides a layered, intuitive read on market structure: Trend Continuation : Expanding ribbons with deep color intensity confirm directional strength. Reversal Phases : Color gradients flip direction, indicating a phase shift or exhaustion point. Compression Zones : Tight, pale ribbons reveal equilibrium phases often preceding breakouts. Momentum Divergence : Fading color intensity despite continued price movement signals weakening conviction. These transitions mirror the natural ebb and flow of market energy - captured through the Gaussian filter’s ability to represent smooth curvature without distortion. Strategy Integration Trend Following Engage during strong directional expansions. When ribbons widen and color gradients intensify, the trend is accelerating with high confidence. Reversal Identification Monitor for full gradient inversion and fading momentum opacity. These conditions often precede transitional phases and early reversals. Breakout Anticipation Flat, compressed ribbons signal low volatility and energy buildup. A sudden gradient expansion with renewed opacity confirms breakout initiation. Multi-Timeframe Alignment Use higher timeframes to establish directional bias and lower timeframes for entry during compression-to-expansion transitions. Technical Implementation Details Triple Gaussian Stack : Sequential smoothing stages produce low-lag, high-purity signals. Adaptive Ribbon Rendering : Five-layer Gaussian visualization for gradient-based trend depth. Momentum Normalization : Opacity dynamically tied to trend strength and volatility context. Consolidation Filter : Suppresses false signals in low-energy or range-bound conditions. Integrated Candle Mode : Optional color synchronization with underlying gradient flow. Alert System : Built-in notifications for bullish and bearish transitions. This structure blends the precision of digital signal processing with the readability of visual market analysis, creating a clean but information-rich framework. Optimal Application Parameters Asset Recommendations Cryptocurrency : Higher smoothing and sigma for stability under volatility. Forex : Balanced parameters for cycle identification and reduced noise. Equities : Moderate Gaussian length for responsive yet stable trend reads. Indices & Futures : Longer smoothing periods for structural confirmation. Timeframe Recommendations Scalping (1 - 5m) : Use shorter smoothing for fast reactivity. Intraday (15m - 1h) : Mid-length Gaussian chain for balance. Swing (4h - 1D) : Prioritize clarity and opacity-driven trend phases. Position (Daily - Weekly) : Longer smoothing to capture macro rhythm. Performance Characteristics Most Effective In : Trending markets with recurring volatility cycles. Transitional phases where early directional confirmation is crucial. Less Effective In: Ultra-low volume markets with erratic tick data. Random, micro-chop conditions with no structural flow. Integration Guidelines Pair with volatility or volume expansion tools for enhanced breakout confirmation. Use ribbon compression to anticipate volatility shifts. Align entries with gradient expansion in the dominant color direction. Scale position size relative to opacity strength and ribbon width. Disclaimer The Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework is designed as a signal visualization and trend interpretation tool, not a standalone trading system. Its accuracy depends on appropriate parameter tuning, contextual confirmation, and disciplined risk management. It should be applied as part of a comprehensive technical or algorithmic trading strategy.
Pine Script® göstergesi
BOSWaves tarafından
3
Delta Volume Heatmap🔥 Delta Volume Heatmap The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure. Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation. 🟩 Green tones = Buy-dominant activity (bullish imbalance) 🟥 Red tones = Sell-dominant activity (bearish imbalance) This tool helps traders quickly identify: Abnormal volume spikes Absorption or exhaustion zones Potential reversal or continuation signals
Pine Script® göstergesi
ryanli38572331 tarafından
PnL TrackerThis script allows you to manually input the details for up to 64 unique positions in the settings, each requiring a Symbol, Average Cost, and Quantity (Qty). Key Features: Average Cost Line: Plots a horizontal line on the chart corresponding to your recorded Average Cost for the security currently being viewed. Real-Time PnL Label: A dynamic label attached to the Average Cost line provides an instant summary of your PnL in both percentage and currency for the last visible bar. Detailed PnL Box: Displays a consolidated, easy-to-read table in the bottom-right corner of the chart, clearly showing: The Symbol and Quantity of your position. Your Average Cost. The current PnL in percentage (%) and base currency (e.g., USD, EUR). Visibility Controls: Toggles in the settings allow you to show or hide the Average Cost line and the PnL summary box independently. This tool is perfect for actively managing and visualizing your multi-asset portfolio positions without leaving your main trading chart. Simply enter your positions in the indicator's settings, and the script will automatically track the PnL for the symbol matching the current chart.
Pine Script® göstergesi
ikbenmax tarafından
Crypto Exchange PremiumDescription: Crypto Exchange Premium The Crypto Exchange Premium indicator is designed to quantify and visualize price disparities between different types of crypto markets — specifically between spot and perpetual futures markets, or between any two customizable sources of price data. By consolidating live data from multiple major exchanges, it creates a unified, cross-market measure of premium (or discount), helping traders identify institutional activity (i. e. by comparing exchanges with high institutional activity against others), arbitrage opportunities, and shifts in market sentiment before they become visible in price action alone. Concept and Purpose In cryptocurrency markets, price divergence between spot and perpetual pairs reflects the real-time interaction of demand and liquidity across market segments. When perpetual prices trade above spot, it implies aggressive long positioning or bullish leverage (positive funding expectations). Conversely, when spot trades above perps, it may reflect net selling pressure in futures or strong spot accumulation. Unlike most tools that rely on funding rates or open interest alone, this indicator measures the actual traded price spread dynamically across exchanges. This allows traders to visualize the “premium curve” of the crypto market in a clear, data-driven format. How It Works The indicator aggregates real-time prices from a wide selection of exchanges, normalizes them into groups, and computes the difference (“premium”) between two chosen reference markets. 1. Exchange Aggregation: Users can toggle individual exchanges for both spot and perpetual aggregation groups. The script automatically calculates group averages by dividing the sum of all enabled exchange prices by the number of valid feeds. Non-USD exchanges (e.g., KRW pairs on Upbit or Bithumb) are automatically converted into USD using live FX data (USDKRW) for accurate normalization. 2. Flexible Comparison Logic: Each leg of the comparison (First vs. Second Source) can be chosen as one of: Local chart symbol Custom symbol Aggregated Spot group Aggregated Perpetual group This allows users to compare, for example: Binance Spot vs. Global Perp Average Coinbase Spot vs. Binance Perp BTCUSD vs. BTCUSDT.P (or any cross-exchange combination) 3. Premium Calculation: The final value is computed as: Premium = First Source Price − Second Source Price and is plotted as a histogram (positive = green, negative = red). This visual instantly shows whether the first source trades at a premium or discount relative to the second. How to Use Select Data Sources: Configure the “First Symbol” and “Second Symbol” in the settings. For most use cases: First Symbol → Perps (Aggregated) Second Symbol → Spot (Aggregated) Adjust Exchange Selection: Enable or disable individual exchanges to fine-tune your data set. For instance, disabling Korean exchanges filters out regional FX distortions. Originality and Value While many exchange difference or “premium indicators” track one or two exchanges, this script introduces multi-exchange aggregation, cross-market normalization, and user-configurable pairing, resulting in a more holistic and accurate reflection of market structure. It bridges a gap between macro market breadth and microstructural price dynamics, empowering traders to: Detect arbitrage inefficiencies between spot and perps. Track regional price dislocations (USD vs. KRW). Gauge the intensity of speculative leverage over time. Anticipate funding rate shifts and liquidation clusters before they happen.
Pine Script® göstergesi
mxdvt07 tarafından
PnL PortfolioThis script allows you to input the details for up to 20 active positions across various trading pairs or markets. Stop manually calculating your trades—get instant, real-time feedback on your performance. Key Features: Multi-Pair Tracking: Monitor up to 20 unique symbols simultaneously. Required Inputs: Easily define the Symbol, Entry Price, and Position Quantity (size) for each trade in the indicator settings. Real-Time PnL: Instantly calculates and displays two critical metrics based on the current market price: % PnL (Percentage Profit/Loss) Absolute Profit/Loss (in currency) Color-Coded Feedback: The PnL columns are color-coded (green/teal for profit, red/maroon for loss) for immediate visual confirmation of your trade health. Customizable Layout: Choose where the dashboard table appears on your chart (top-left, top-right, bottom-left, or bottom-right) to keep your trading view clean. This is an essential overlay for any trader managing multiple active positions and needing a consolidated, easy-to-read overview.
Pine Script® göstergesi
ikbenmax tarafından
Bitcoin Cycle History Visualization [SwissAlgo]BTC 4-Year Cycle Tops & Bottoms Historical visualization of Bitcoin's market cycles from 2010 to present, with projections based on weighted averages of past performance. ----------------------------------------------------------------- CALCULATION METHODOLOGY Why Bottom-to-Bottom Cycle Measurement? This indicator defines cycles as bottom-to-bottom periods. This is one of several valid approaches to Bitcoin cycle analysis: - Focuses on market behavior (price bottoms) rather than supply schedule events (halving-to-halving) - Bottoms may offer good reference points for some analytical purposes - Tops tend to be extended periods that are harder to define precisely - Aligns with how some traditional asset cycles are measured and the timing observed in the broader "risk-on" assets category - Halving events are shown separately (yellow backgrounds) for reference - Neither halving-based nor bottom-based measurement is inherently superior Different analysts prefer different cycle definitions based on their analytical goals. This approach prioritizes observable market turning points. Cycle Date Definitions - Approximate monthly ranges used for each event (e.g., Nov 2022 bottom = Nov 1-30, 2022) - Cycle 1: Jul 2010 bottom → Jun 2011 top → Nov 2011 bottom - Cycle 2: Nov 2011 bottom → Dec 2013 top → Jan 2015 bottom - Cycle 3: Jan 2015 bottom → Dec 2017 top → Dec 2018 bottom - Cycle 4: Dec 2018 bottom → Nov 2021 top → Nov 2022 bottom - Future cycles will be added as new top/bottom dates become firm Duration Calculations - Days = timestamp difference converted to days (milliseconds ÷ 86,400,000) - Bottom → Top: days from cycle bottom to peak - Top → Bottom: days from peak to next cycle bottom - Bottom → Bottom: full cycle duration (sum of above) Price Change Calculations - % Change = ((New Price - Old Price) / Old Price) × 100 - Example: $200 → $19,700 = ((19,700 - 200) / 200) × 100 = 9,750% gain - Approximate historical prices used (rounded to significant figures) Weighted Average Formula Recent cycles weighted more heavily to reflect the evolved market structure: - Cycle 1 (2010-2011): EXCLUDED (too early-stage, tiny market cap) - Cycle 2 (2011-2015): Weight = 1x - Cycle 3 (2015-2018): Weight = 3x - Cycle 4 (2018-2022): Weight = 5x Formula: Weighted Avg = (C2×1 + C3×3 + C4×5) / (1+3+5) Example for Bottom→Top days: (761×1 + 1065×3 + 1066×5) / 9 = 1,032 days Projection Method - Projected Top Date = Nov 2022 bottom + weighted avg Bottom→Top days - Projected Bottom Date = Nov 2022 bottom + weighted avg Bottom→Bottom days - Current days elapsed compared to weighted averages - Warning symbol (⚠) shown when the current cycle exceeds the historical average Technical Implementation - Historical cycle dates are hardcoded (not algorithmically detected) - Dates represent approximate monthly ranges for each event - The indicator will be updated as the Cycle 5 top and bottom dates become confirmed - Updates require manual code maintenance - not automatic - Users should verify they're using the latest version for current cycle data ----------------------------------------------------------------- FEATURES - Background highlights for historical tops (red), bottoms (green), and halving events (yellow) - Data table showing cycle durations and price changes - Visual cycle boundary boxes with subtle coloring - Projected timeframes displayed as dashed vertical lines - Toggle on/off for each visual element - Customizable background colors ----------------------------------------------------------------- DISPLAY SETTINGS - Show/hide cycle tops, bottoms, halvings, data table, and cycle boxes - Customizable background colors for each event type - Clean, institutional-grade visual design suitable for analysis UPDATES & MAINTENANCE This indicator is maintained as new cycle events occur. When Cycle 5's top and bottom are confirmed with sufficient time elapsed, the code and projections will be updated accordingly. Check for the latest version periodically. OPEN SOURCE Code available for review, modification, and improvement. Educational transparency is prioritized. ----------------------------------------------------------------- IMPORTANT LIMITATIONS ⚠ EXTREMELY SMALL SAMPLE SIZE Based on only 4 complete cycles (2011-2022). In statistical analysis, this is insufficient for reliable predictions. ⚠ CHANGED MARKET STRUCTURE Bitcoin's market has fundamentally evolved since early cycles: - 2010-2015: Tiny market cap, retail-only, unregulated - 2024-2025: Institutional adoption, spot ETFs, regulatory frameworks, macro correlation The environment that created past patterns no longer exists in the same form. ⚠ NO PREDICTIVE GUARANTEE Historical patterns can and do break. Market cycles are not laws of physics. Past performance does not guarantee future results. The next cycle may not follow historical averages. ⚠ LENGTHENING CYCLE THEORY Some analysts believe cycles are extending over time (diminishing returns, maturing market). If true, simple averaging underestimates future cycle lengths. ⚠ SELF-FULFILLING PROPHECY RISK The halving narrative may be partially circular - it works because people believe it works. Sufficient changes in market structure or participant behavior can invalidate the pattern. ⚠ APPROXIMATE DATA Historical prices rounded to significant figures. Exact bottom/top dates vary by exchange. Month-long ranges are used for simplicity. EDUCATIONAL USE ONLY This indicator is designed for historical analysis and understanding Bitcoin's past behavior. It is NOT: - Trading advice or financial recommendations - A guarantee or prediction of future price movements - Suitable as a sole basis for investment decisions - A replacement for fundamental or technical analysis The projections show "what if the pattern continues exactly" - not "what will happen." Always conduct independent research, understand the risks, and consult qualified financial advisors before making investment decisions. Only invest what you can afford to lose.
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