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Mayer Multiple Z-ScoreMayer Multiple is a ratio between the current Market Price and its 200 days moving average. Being a lagging indicator it shows periods of relative value for the asset but does not have much predictive power. It is worth noting that the indicator relies on a fairly responsive moving average on the scale of a Bitcoin market cycle and as such may be best suited for the swing traders to find zones where price is overbought and oversold within a market cycle. Added the Z-Score metric for easy classification of the value of Bitcoin according to this indicator. Customizable thresholds from Z-Score calculation as the metric suffers alpha decay / compression. Created for TRW
Pine Script® 인디케이터
Commandoum의
SMC Structure IndicatorTitle: SMC Structures Indicator Description: The SMC Structures indicator is a powerful tool designed to identify and visualize key structural elements in price action, based on the principles of Smart Money Concepts (SMC). This indicator helps traders identify potential areas of support, resistance, and price reversals by highlighting significant market structures. Key Features: Structure Identification: The indicator automatically detects and marks important high and low structures in the market. Break of Structure (BOS) Detection: It identifies and labels instances where previous structures are broken, indicating potential trend changes or continuations. Change of Character (CHoCH) Detection: The indicator recognizes and marks Changes of Character, which are significant shifts in market behavior. Customizable Visuals: Users can personalize the appearance of BOS and CHoCH markings, including colors, line styles, and widths. Current Structure Display: The indicator can optionally show the current active structure, helping traders understand the immediate market context. Historical Structure Tracking: Users can specify the number of historical structure breaks to display, allowing for a cleaner chart while maintaining relevant information. Flexible Break Confirmation: The indicator offers the option to confirm structure breaks using either the candle body or wick, accommodating different trading styles. Technical Details: The indicator uses advanced algorithms to identify significant price structures based on local highs and lows. It employs a lookback period of 10 bars for structure detection, ensuring relevance to current market conditions. The code includes safeguards to handle different market phases and avoid false signals during ranging periods. Customization Options: Colors for Bullish and Bearish BOS and CHoCH markings Line styles and widths for all structure markings Number of historical breaks to display Option to show or hide the current active structure Choice between candle body or wick for structure break confirmation Use Cases: Trend Analysis: Identify the start of new trends or potential trend reversals. Support and Resistance: Pinpoint key levels where price may react. Trade Entry and Exit: Use structure breaks as potential entry or exit signals. Market Context: Understand the broader market structure to make informed trading decisions.
Pine Script® 인디케이터
kylemorton494의
2
TCP | Market Session | Session Analyzer📌 TCP | Market Session Indicator | Crypto Version A powerful, real-time market session visualization tool tailored for crypto traders. Track the heartbeat of Asia, Europe, and US trading hours directly on your chart with live session boxes, behavioral analysis, liquidity grab detection, and countdown timers. Know when the action starts, how the market behaves, and where the traps lie. 🔰 Introduction: Trade the Right Hours with the Right Tools Time matters in trading. Most significant moves happen during key sessions—and knowing when and how each session unfolds can give you a sharp edge. The TCP Market Session Indicator, developed by Trade City Pro (TCP), puts professional session tracking and behavioral insights at your fingertips. Whether you're a scalper or swing trader, this indicator gives you the timing context to enter and exit trades with greater confidence and clarity. 🕒 Core Features • Live Session Boxes : Highlight active ranges during Asia, Europe, and US sessions with dynamic high/low updates. • Session Start/End Labels : Know exactly when each session begins and ends plotted clearly on your chart with context. • Session Behavior Analysis : At the end of each session, the indicator classifies the price action as: - Trend Up - Trend Down - Consolidation - Manipulation • Liquidity Grab Detection: Automatically detects possible stop hunts (fake breakouts) and marks them on the chart with precision filters (volume, ATR, reversal). • Session Countdown Table: A live dashboard showing: - Current active session - Time left in session - Upcoming session and how many minutes until it starts - Utility time converter (e.g. 90 min = 01:30) • Vertical Session Lines: Visualize past and upcoming session boundaries with customizable history and future range. • Multi-Day Support: Draw session ranges for previous, current, and future days for better backtesting and forecasting. ⚙️ Settings Panel Customize everything to fit your trading style and schedule: • Session Time Settings: Set the opening and closing time for each session manually using UTC-based minute inputs. → For example, enter Asia Start: 0, Asia End: 480 for 00:00–08:00 UTC. This gives full flexibility to adjust session hours to match your preferred market behavior. • Enable or Disable Elements: Toggle the visibility of each session (Asia, Europe, US), as well as: - Session Boxes - Countdown Table - Session Lines - Liquidity Grab Labels • Timezone Selection: Choose between using UTC or your chart’s local timezone for session calculations. • Customization Options: Select number of past and future days to draw session data Adjust vertical line transparency Fine-tune label offset and spacing for clean layout 📊 Smart Session Boxes Each session box tracks high, low, open, and close in real time, providing visual clarity on market structure. Once a session ends, the box closes, and the behavior type is saved and labeled ideal for spotting patterns across sessions. • Asia: Green Box • Europe: Orange Box • US: Blue Box 💡 Why Use This Tool? • Perfect Timing: Don’t get chopped in low-liquidity hours. Focus on sessions where volume and volatility align. • Pattern Recognition: Study how price behaves session-to-session to build better strategies. • Trap Detection: Spot manipulation moves (liquidity grabs) early and avoid common retail pitfalls. • Macro Session Mapping: Use as a foundational layer to align trades with market structure and news cycles. 🔍 Example Use Case You're watching BTC at 12:45 UTC. The indicator tells you: The Asia session just ended (label shows “Asia Session End: Trend Up”) Europe session starts in 15 minutes A liquidity grab just triggered at the previous high—label confirmed Now you know who’s active, what the market just did, and what’s about to start—all in one glance. ✅ Why Traders Trust It • Visual & Intuitive: Fully chart-based, no clutter, no guessing • Crypto-Focused: Designed specifically for 24/7 crypto markets (not outdated forex models) • Non-Repainting: All labels and boxes stay as printed—no tricks • Reliable: Tested across multiple exchanges, pairs, and timeframes 🧩 Built by Trade City Pro (TCP) The TCP Market Session Indicator is part of a suite of professional tools used by over 150,000 traders. It’s coded in Pine Script v6 for full compatibility with TradingView’s latest capabilities. 🔗 Resources • Tutorial: Learn how to analyze sessions like a pro in our TradingView guide: "TradeCityPro Academy: Session Mapping & Liquidity Traps" • More Tools: Explore our full library of indicators on
Pine Script® 인디케이터
tradecitypro의
45
Volume Statistics - IntraweekVolume Statistics - Intraweek: For Orderflow Traders This tool is designed for traders using volume footprint charts and orderflow methods. Why it matters: In orderflow trading, you care about the quality of volume behind each move. You’re not just watching price; you’re watching how much aggression is behind that price move. That’s where this indicator helps. What to look at: * Current Volume shows you how much volume is trading right now. * Central Volume (median or average over 24h or 7D) gives you a baseline for what's normal volume VS abnormal volume. * The Diff vs Central tells you immediately if current volume is above or below normal. How this helps: * If volume is above normal, it suggested elevated levels of buyer or seller aggression. Look for strong follow-through or continuation. * If volume is below normal, it may signal low interest, passive participation, a lack of conviction, or a fake move. * Use this context to decide if what you're seeing in the footprint (imbalances, absorption, traps) is actually worth acting on. Extra context: * The highest and lowest volume levels and their timestamps help you spot prior key reactions. * Second and third highest bars help you see other major effort points in the recent window. Comment with any suggestions on how to improve this indicator.
Pine Script® 인디케이터
Witnessing_Soul의
4
Liquidation Heatmap Proxy [victhoreb]Author: victhoreb This script was inspired by the Coinglass indicator: www.coinglass.com It divides each bar into subbars determined by the intrabar period. For each bar, it considers subbars with a positive OID (open interest delta) (if the user sets "Filter by Signal" to true, it only considers subbars with OID > 0 from a main bar that had a peak in open interest). In these subbars, it considers opened long/short positions based on the intrabar price movement and the dispersion factor (which becomes completely unnecessary if the user is using Intrabar Resolution in ticks; in this case, set the dispersion factor = 0). After determining the opened long and short positions, it determines, based on the user-selected leverages, the liquidation level for each position. The width of each level is given by syminfo.mintick * scale. The script uses the intrabar OID from the previous step to store an estimate of the number of contracts to be liquidated at each level. This estimate is used to color the levels by order of magnitude. If there is a subsequent increase in liquidations at a pre-existing level, the script accumulates the estimated number of contracts to be liquidated and repaints the level. A note about a visual limitation of the script is important: in Coinglass' version, when there is a subsequent increase in liquidations at a pre-existing level, Coinglass paints the level a brighter color ONLY from the moment of the increase—however, this script does not do this; it repaints the entire level with the brighter color. Note: While accurate, this script is only a proxy. Use at your own risk. This script has alerts for when there is liquidation in the long or short direction.
Pine Script® 인디케이터
victhoreb의
8
Bollinger Heatmap [Quantitative]Overview The Bollinger Heatmap is a composite indicator that synthesizes data derived from 30 Bollinger bands distributed over multiple time horizons, offering a high-dimensional characterization of the underlying asset. Algorithm The algorithm quantifies the current price’s relative position within each Bollinger band ensemble, generating a normalized position ratio. This ratio is subsequently transformed into a scalar heat value, which is then rendered on a continuous color gradient from red to blue. Red hues correspond to price proximity to or extension below the lower band, while blue hues denote price proximity to or extension above the upper band. Using default parameters, the indicator maps bands over timeframes increasing in a pattern approximating exponential growth, constrained to multiples of seven days. The lower region encodes relationships with shorter-term bands spanning between 1 and 14 weeks, whereas the upper region portrays interactions with longer-term bands ranging from 15 to 52 weeks. Conclusion By integrating Bollinger bands across a diverse array of time horizons, the heatmap indicator aims to mitigate the model risk inherent in selecting a single band length, capturing exposure across a richer parameter space.
Pine Script® 인디케이터
Quantitative의
1
Investor Tool - Z ScoreThe Investor Tool is intended as a tool for long term investors, indicating periods where prices are likely approaching cyclical tops or bottoms. The tool uses two simple moving averages of price as the basis for under/overvalued conditions: the 2-year MA (green) and a 5x multiple of the 2-year MA (red). Price trading below the 2-year MA has historically generated outsized returns, and signalled bear cycle lows. Price trading above the 2-year MA x5 has been historically signalled bull cycle tops and a zone where investors de-risk. Just like the Glassnode one, but here on TV and with StDev bands Now with Z-SCORE calculation: The Z-Score is calculated to be -3 Z at the bottom bands and 3 Z at the top bands mean = (upper_sma + bottom_sma) / 2 bands_range = upper_sma - bottom_sma stdDev = bands_range != 0 ? bands_range / 6 : 0 zScore = stdDev != 0 ? (close - mean) / stdDev : 0 Created for TRW
Pine Script® 인디케이터
Commandoum의
ACR(Average Candle Range) With TargetsWhat is ACR? The Average Candle Range (ACR) is a custom volatility metric that calculates the mean distance between the high and low of a set number of past candles. ACR focuses only on the actual candle range (high - low) of specific past candles on a chosen timeframe. This script calculates and visualizes the Average Candle Range (ACR) over a user-defined number of candles on a custom timeframe. It displays a table of recent range values, plots dynamic bullish and bearish target levels, and marks the start of each new candle with a vertical line. All calculations update in real time as price action develops. This script was inspired by the “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees. Key Features Custom Timeframe Selection: Choose any timeframe (e.g., 1D, 4H, 15m) for analysis. User-Defined Lookback: Calculate the average range across 1 to 10 previous candles. Dynamic Targets: Bullish Target: Current candle low + ACR. Bearish Target: Current candle high – ACR. Live Updates: Targets adjust intrabar as highs or lows change during the current candle. Candle Start Markers: Vertical lines denote the open of each new candle on the selected timeframe. Floating Range Table: Displays the current ACR value. Lists individual ranges for the previous five candles. Extend Target Lines: Choose to extend bullish and bearish target levels fully across the screen. Global Visibility Controls: Toggle on/off all visual elements (targets, vertical lines, and table) for a cleaner view. How It Works At each new candle on the user-selected timeframe, the script: Draws a vertical line at the candle’s open. Recalculates the ACR based on the inputted previous number of candles. Plots target levels using the current candle's developing high and low values. Limitation Once the price has already moved a full ACR in the opposite direction from your intended trade, the associated target loses its practical value. For example, if you intended to trade long but the bearish ACR target is hit first, the bullish target is no longer a reliable reference for that session. Use Case This tool is designed for traders who: Want to visualize the average movement range of candles over time. Use higher or lower timeframe candles as structural anchors. Require real-time range-based price levels for intraday or swing decision-making. This script does not generate entry or exit signals. Instead, it supports range awareness and target projection based on historical candle behavior. Key Difference from Similar Tools While this script was inspired by “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees, it introduces a major enhancement: the ability to customize the timeframe used for calculating the range. Most ADR or candle-range tools are locked to a single timeframe (e.g., daily), but this version gives traders full control over the analysis window. This makes it adaptable to a wide range of strategies, including intraday and swing trading, across any market or asset.
Pine Script® 인디케이터
marvelouss25의
2
On-Chain Signals [LuxAlgo]The On-Chain Signals indicator uses fundamental blockchain metrics to provide traders with an objective technical view of their favorite cryptocurrencies. It uses IntoTheBlock datasets integrated within TradingView to generate four key signals: Net Network Growth, In the Money, Concentration, and Large Transactions. Together, these four signals provide traders with an overall directional bias of the market. All of the data can be visualized as a gauge, table, historical plot, or average. 🔶 USAGE The main goal of this tool is to provide an overall directional bias based on four blockchain signals, each with three possible biases: bearish, neutral, or bullish. The thresholds for each signal bias can be adjusted on the settings panel. These signals are based on IntoTheBlock's On-Chain Signals. Net network growth: Change in the total number of addresses over the last seven periods; i.e., how many new addresses are being created. In the Money: Change in the seven-period moving average of the total supply in the money. This shows how many addresses are profitable. Concentration: Change in the aggregate addresses of whales and investors from the previous period. These are addresses holding at least 0.1% of the supply. This shows how many addresses are in the hands of a few. Large Transactions: Changes in the number of transactions over $100,000. This metric tracks convergence or divergence from the 21- and 30-day EMAs and indicates the momentum of large transactions. All of these signals together form the blockchain's overall directional bias. Bearish: The number of bearish individual signals is greater than the number of bullish individual signals. Neutral: The number of bearish individual signals is equal to the number of bullish individual signals. Bullish: The number of bullish individual signals is greater than the number of bearish individual signals. If the overall directional bias is bullish, we can expect the price of the observed cryptocurrency to increase. If the bias is bearish, we can expect the price to decrease. If the signal is neutral, the price may be more likely to stay the same. Traders should be aware of two things. First, the signals provide optimal results when the chart is set to the daily timeframe. Second, the tool uses IntoTheBlock data, which is available on TradingView. Therefore, some cryptocurrencies may not be available. 🔹 Display Mode Traders have three different display modes at their disposal. These modes can be easily selected from the settings panel. The gauge is set by default. 🔹 Gauge The gauge will appear in the center of the visible space. Traders can adjust its size using the Scale parameter in the Settings panel. They can also give it a curved effect. The number of bars displayed directly affects the gauge's resolution: More bars result in better resolution. The chart above shows the effect that different scale configurations have on the gauge. 🔹 Historical Data The chart above shows the historical data for each of the four signals. Traders can use this mode to adjust the thresholds for each signal on the settings panel to fit the behavior of each cryptocurrency. They can also analyze how each metric impacts price behavior over time. 🔹 Average This display mode provides an easy way to see the overall bias of past prices in order to analyze price behavior in relation to the underlying blockchain's directional bias. The average is calculated by taking the values of the overall bias as -1 for bearish, 0 for neutral, and +1 for bullish, and then applying a triangular moving average over 20 periods by default. Simple and exponential moving averages are available, and traders can select the period length from the settings panel. 🔶 DETAILS The four signals are based on IntoTheBlock's On-Chain Signals. We gather the data, manipulate it, and build the signals depending on each threshold. Net network growth float netNetworkGrowthData = customData('_TOTALADDRESSES') float netNetworkGrowth = 100*(netNetworkGrowthData /netNetworkGrowthData - 1) In the Money float inTheMoneyData = customData('_INOUTMONEYIN') float averageBalance = customData('_AVGBALANCE') float inTheMoneyBalance = inTheMoneyData*averageBalance float sma = ta.sma(inTheMoneyBalance,7) float inTheMoney = ta.roc(sma,1) Concentration float whalesData = customData('_WHALESPERCENTAGE') float inverstorsData = customData('_INVESTORSPERCENTAGE') float bigHands = whalesData+inverstorsData float concentration = ta.change(bigHands )*100 Large Transactions float largeTransacionsData = customData('_LARGETXCOUNT') float largeTX21 = ta.ema(largeTransacionsData,21) float largeTX30 = ta.ema(largeTransacionsData,30) float largeTransacions = ((largeTX21 - largeTX30)/largeTX30)*100 🔶 SETTINGS Display mode: Select between gauge, historical data and average. Average: Select a smoothing method and length period. 🔹 Thresholds Net Network Growth : Bullish and bearish thresholds for this signal. In The Money : Bullish and bearish thresholds for this signal. Concentration : Bullish and bearish thresholds for this signal. Transactions : Bullish and bearish thresholds for this signal. 🔹 Dashboard Dashboard : Enable/disable dashboard display Position : Select dashboard location Size : Select dashboard size 🔹 Gauge Scale : Select the size of the gauge Curved : Enable/disable curved mode Select Gauge colors for bearish, neutral and bullish bias 🔹 Style Net Network Growth : Enable/disable historical plot and choose color In The Money : Enable/disable historical plot and choose color Concentration : Enable/disable historical plot and choose color Large Transacions : Enable/disable historical plot and choose color
Pine Script® 인디케이터
LuxAlgo의
8
Correlation HeatMap [TradingFinder] Sessions Data Science Stats🔵 Introduction n financial markets, correlation describes the statistical relationship between the price movements of two assets and how they interact over time. It plays a key role in both trading and investing by helping analyze asset behavior, manage portfolio risk, and understand intermarket dynamics. The Correlation Heatmap is a visual tool that shows how the correlation between multiple assets and a central reference asset (the Main Symbol) changes over time. It supports four market types forex, stocks, crypto, and a custom mode making it adaptable to different trading environments. The heatmap uses a color-coded grid where warmer tones represent stronger negative correlations and cooler tones indicate stronger positive ones. This intuitive color system allows traders to quickly identify when assets move together or diverge, offering real-time insights that go beyond traditional correlation tables. 🟣 How to Interpret the Heatmap Visually ? Each cell represents the correlation between the main symbol and one compared asset at a specific time. Warm colors (e.g. red, orange) suggest strong negative correlation as one asset rises, the other tends to fall. Cool colors (e.g. blue, green) suggest strong positive correlation both assets tend to move in the same direction. Lighter shades indicate weaker correlations, while darker shades indicate stronger correlations. The heatmap updates over time, allowing users to detect changes in correlation during market events or trading sessions. One of the standout features of this indicator is its ability to overlay global market sessions such as Tokyo, London, New York, or major equity opens directly onto the heatmap timeline. This alignment lets traders observe how correlation structures respond to real-world session changes. For example, they can spot when assets shift from being inversely correlated to moving together as a new session opens, potentially signaling new momentum or macro flow. The customizable symbol setup (including up to 20 compared assets) makes it ideal not only for forex and crypto traders but also for multi-asset and sector-based stock analysis. 🟣 Use Cases and Advantages Analyze sector rotation in equities by tracking correlation to major indices like SPX or DJI. Monitor altcoin behavior relative to Bitcoin to find early entry opportunities in crypto markets. Detect changes in currency alignment with DXY across trading sessions in forex. Identify correlation breakdowns during market volatility, signaling possible new trends. Use correlation shifts as confirmation for trade setups or to hedge multi-asset exposure 🔵 How to Use Correlation is one of the core concepts in financial analysis and allows traders to understand how assets behave in relation to one another. The Correlation Heatmap extends this idea by going beyond a simple number or static matrix. Instead, it presents a dynamic visual map of how correlations shift over time. In this indicator, a Main Symbol is selected as the reference point for analysis. In standard modes such as forex, stocks, or crypto, the symbol currently shown on the main chart is automatically used as the main symbol. This allows users to begin correlation analysis right away without adjusting any settings. The horizontal axis of the heatmap shows time, while the vertical axis lists the selected assets. Each cell on the heatmap shows the correlation between that asset and the main symbol at a given moment. This approach is especially useful for intermarket analysis. In forex, for example, tracking how currency pairs like OANDA:EURUSD EURUSD, FX:GBPUSD GBPUSD, and PEPPERSTONE:AUDUSD AUDUSD correlate with TVC:DXY DXY can give insight into broader capital flow. If these pairs start showing increasing positive correlation with DXY say, shifting from blue to light green it could signal the start of a new phase or reversal. Conversely, if negative correlation fades gradually, it may suggest weakening relationships and more independent or volatile movement. In the crypto market, watching how altcoins correlate with Bitcoin can help identify ideal entry points in secondary assets. In the stock market, analyzing how companies within the same sector move in relation to a major index like SP:SPX SPX or DJ:DJI DJI is also a highly effective technique for both technical and fundamental analysts. This indicator not only visualizes correlation but also displays major market sessions. When enabled, this feature helps traders observe how correlation behavior changes at the start of each session, whether it's Tokyo, London, New York, or the opening of stock exchanges. Many key shifts, breakouts, or reversals tend to happen around these times, and the heatmap makes them easy to spot. Another important feature is the market selection mode. Users can switch between forex, crypto, stocks, or custom markets and see correlation behavior specific to each one. In custom mode, users can manually select any combination of symbols for more advanced or personalized analysis. This makes the heatmap valuable not only for forex traders but also for stock traders, crypto analysts, and multi-asset strategists. Finally, the heatmap's color-coded design helps users make sense of the data quickly. Warm colors such as red and orange reflect stronger negative correlations, while cool colors like blue and green represent stronger positive relationships. This simplicity and clarity make the tool accessible to both beginners and experienced traders. 🔵 Settings Correlation Period: Allows you to set how many historical bars are used for calculating correlation. A higher number means a smoother, slower-moving heatmap, while a lower number makes it more responsive to recent changes. Select Market: Lets you choose between Forex, Stock, Crypto, or Custom. In the first three options, the chart’s active symbol is automatically used as the Main Symbol. In Custom mode, you can manually define the Main Symbol and up to 20 Compared Symbols. Show Open Session: Enables the display of major trading sessions such as Tokyo, London, New York, or equity market opening hours directly on the timeline. This helps you connect correlation shifts with real-world market activity. Market Mode: Lets you select whether the displayed sessions relate to the forex or stock market. 🔵 Conclusion The Correlation Heatmap is a robust and flexible tool for analyzing the relationship between assets across different markets. By tracking how correlations change in real time, traders can better identify alignment or divergence between symbols and gain valuable insights into market structure. Support for multiple asset classes, session overlays, and intuitive visual cues make this one of the most effective tools for intermarket analysis. Whether you’re looking to manage portfolio risk, validate entry points, or simply understand capital flow across markets, this heatmap provides a clear and actionable perspective that you can rely on.
Pine Script® 인디케이터
TFlab의
4
Sat Stacking Strategies Simulation (SSSS)Sat Stacking Strategies Simulation (SSSS) This indicator simulates and compares different Bitcoin stacking strategies over time, allowing you to visualize performance, cost basis, and stacking behavior directly on your chart. Core Features: Three Stacking Strategies • Trend-Based – Stack only when price is above/below a long-term SMA. • Stack the Dip – Buy during sharp pullbacks or oversold conditions. • Price Zone – Stack only in “cheap”, “fair”, or “expensive” zones based on a simulated Short-Term Holder (STH) cost basis. Always Stack Benchmark Compare your chosen strategy against a simple “Always Stack” approach for a real-world DCA reference. Performance Metrics Table Track: • Total Fiat Added • Total BTC Accumulated • Current Value • Average Cost per BTC • PnL % • CAGR • Sharpe Ratio & Stdev • Stack Events & Time Underwater Advanced Options • Simulate cash-secured puts on unused fiat. • Simulate covered calls on BTC holdings. • Roll over unused stacking amounts for future buys. This tool is designed for Bitcoiners, stackers, and DCA enthusiasts who want to backtest and visualize their stacking plan—whether you keep it simple or go full quant. Sometimes the best alpha is just showing up every week with your wallet open… and occasionally wearing a helmet. 🪖💰
Pine Script® 인디케이터
piriya33의
1
Crypto Options Greeks & Volatility Analyzer [BackQuant]Crypto Options Greeks & Volatility Analyzer Overview The Crypto Options Greeks & Volatility Analyzer is a comprehensive analytical tool that calculates Black-Scholes option Greeks up to the third order for Bitcoin and Ethereum options. It integrates implied volatility data from VOLMEX indices and provides multiple visualization layers for options risk analysis. Quick Introduction to Options Trading Options are financial derivatives that give the holder the right, but not the obligation, to buy or sell an underlying asset at a predetermined price (strike price) within a specific time period (expiration date). Understanding options requires grasping two fundamental concepts: Call Options : Give the right to buy the underlying asset at the strike price. Calls increase in value when the underlying price rises above the strike price. Put Options : Give the right to sell the underlying asset at the strike price. Puts increase in value when the underlying price falls below the strike price. The Language of Options: Greeks Options traders use "Greeks" - mathematical measures that describe how an option's price changes in response to various factors: Delta : How much the option price moves for each $1 change in the underlying Gamma : How fast delta changes as the underlying moves Theta : Daily time decay - how much value erodes each day Vega : Sensitivity to implied volatility changes Rho : Sensitivity to interest rate changes These Greeks are essential for understanding risk. Just as a pilot needs instruments to fly safely, options traders need Greeks to navigate market conditions and manage positions effectively. Why Volatility Matters Implied volatility (IV) represents the market's expectation of future price movement. High IV means: Options are more expensive (higher premiums) Market expects larger price swings Better for option sellers Low IV means: Options are cheaper Market expects smaller moves Better for option buyers This indicator helps you visualize and quantify these critical concepts in real-time. Back to the Indicator Key Features & Components 1. Complete Greeks Calculations The indicator computes all standard Greeks using the Black-Scholes-Merton model adapted for cryptocurrency markets: First Order Greeks: Delta (Δ) : Measures the rate of change of option price with respect to underlying price movement. Ranges from 0 to 1 for calls and -1 to 0 for puts. Vega (ν) : Sensitivity to implied volatility changes, expressed as price change per 1% change in IV. Theta (Θ) : Time decay measured in dollars per day, showing how much value erodes with each passing day. Rho (ρ) : Interest rate sensitivity, measuring price change per 1% change in risk-free rate. Second Order Greeks: Gamma (Γ) : Rate of change of delta with respect to underlying price, indicating how quickly delta will change. Vanna : Cross-derivative measuring delta's sensitivity to volatility changes and vega's sensitivity to price changes. Charm : Delta decay over time, showing how delta changes as expiration approaches. Vomma (Volga) : Vega's sensitivity to volatility changes, important for volatility trading strategies. Third Order Greeks: Speed : Rate of change of gamma with respect to underlying price (∂Γ/∂S). Zomma : Gamma's sensitivity to volatility changes (∂Γ/∂σ). Color : Gamma decay over time (∂Γ/∂T). Ultima : Third-order volatility sensitivity (∂²ν/∂σ²). 2. Implied Volatility Analysis The indicator includes a sophisticated IV ranking system that analyzes current implied volatility relative to its recent history: IV Rank : Percentile ranking of current IV within its 30-day range (0-100%) IV Percentile : Percentage of days in the lookback period where IV was lower than current IV Regime Classification : Very Low, Low, High, or Very High Color-Coded Headers : Visual indication of volatility regime in the Greeks table Trading regime suggestions based on IV rank: IV Rank > 75%: "Favor selling options" (high premium environment) IV Rank 50-75%: "Neutral / Sell spreads" IV Rank 25-50%: "Neutral / Buy spreads" IV Rank < 25%: "Favor buying options" (low premium environment) 3. Gamma Zones Visualization Gamma zones display horizontal price levels where gamma exposure is highest: Purple horizontal lines indicate gamma concentration areas Opacity scaling : Darker shading represents higher gamma values Percentage labels : Shows gamma intensity relative to ATM gamma Customizable zones : 3-10 price levels can be analyzed These zones are critical for understanding: Pin risk around expiration Potential for explosive price movements Optimal strike selection for gamma trading Market maker hedging flows 4. Probability Cones (Expected Move) The probability cones project expected price ranges based on current implied volatility: 1 Standard Deviation (68% probability) : Shown with dashed green/red lines 2 Standard Deviations (95% probability) : Shown with dotted green/red lines Time-scaled projection : Cones widen as expiration approaches Lognormal distribution : Accounts for positive skew in asset prices Applications: Strike selection for credit spreads Identifying high-probability profit zones Setting realistic price targets Risk management for undefined risk strategies 5. Breakeven Analysis The indicator plots key price levels for options positions: White line : Strike price Green line : Call breakeven (Strike + Premium) Red line : Put breakeven (Strike - Premium) These levels update dynamically as option premiums change with market conditions. 6. Payoff Structure Visualization Optional P&L labels display profit/loss at expiration for various price levels: Shows P&L at -2 sigma, -1 sigma, ATM, +1 sigma, and +2 sigma price levels Separate calculations for calls and puts Helps visualize option payoff diagrams directly on the chart Updates based on current option premiums Configuration Options Calculation Parameters Asset Selection : BTC or ETH (limited by VOLMEX IV data availability) Expiry Options : 1D, 7D, 14D, 30D, 60D, 90D, 180D Strike Mode : ATM (uses current spot) or Custom (manual strike input) Risk-Free Rate : Adjustable annual rate for discounting calculations Display Settings Greeks Display : Toggle first, second, and third-order Greeks independently Visual Elements : Enable/disable probability cones, gamma zones, P&L labels Table Customization : Position (6 options) and text size (4 sizes) Price Levels : Show/hide strike and breakeven lines Technical Implementation Data Sources Spot Prices : INDEX:BTCUSD and INDEX:ETHUSD for underlying prices Implied Volatility : VOLMEX:BVIV (Bitcoin) and VOLMEX:EVIV (Ethereum) indices Real-Time Updates : All calculations update with each price tick Mathematical Framework The indicator implements the full Black-Scholes-Merton model: Standard normal distribution approximations using Abramowitz and Stegun method Proper annualization factors (365-day year) Continuous compounding for interest rate calculations Lognormal price distribution assumptions Alert Conditions Four categories of automated alerts: Price-Based : Underlying crossing strike price Gamma-Based : 50% surge detection for explosive moves Moneyness : Deep ITM alerts when |delta| > 0.9 Time/Volatility : Near expiration and vega spike warnings Practical Applications For Options Traders Monitor all Greeks in real-time for active positions Identify optimal entry/exit points using IV rank Visualize risk through probability cones and gamma zones Track time decay and plan rolls For Volatility Traders Compare IV across different expiries Identify mean reversion opportunities Monitor vega exposure across strikes Track higher-order volatility sensitivities Conclusion The Crypto Options Greeks & Volatility Analyzer transforms complex mathematical models into actionable visual insights. By combining institutional-grade Greeks calculations with intuitive overlays like probability cones and gamma zones, it bridges the gap between theoretical options knowledge and practical trading application. Whether you're: A directional trader using options for leverage A volatility trader capturing IV mean reversion A hedger managing portfolio risk Or simply learning about options mechanics This tool provides the quantitative foundation needed for informed decision-making in cryptocurrency options markets. Remember that options trading involves substantial risk and complexity. The Greeks and visualizations provided by this indicator are tools for analysis - they should be combined with proper risk management, position sizing, and a thorough understanding of options strategies. As crypto options markets continue to mature and grow, having professional-grade analytics becomes increasingly important. This indicator ensures you're equipped with the same analytical capabilities used by institutional traders, adapted specifically for the unique characteristics of 24/7 cryptocurrency markets.
Pine Script® 인디케이터
BackQuant의
4
Multi-Ticker TableMulti-Ticker Table A customizable TradingView indicator that displays a clean, organized table of up to 10 user-defined ticker symbols with their current daily price, daily dollar change, and daily percentage change. Key features include: Enable/disable individual tickers with custom symbols Customizable font sizes and colors for header and body rows Customizable table background colors for header and data rows Flexible table positioning anywhere on the chart (top/middle/bottom × left/center/right) Highlights positive changes in green and negative changes in red for quick visual analysis Hides chart candles to display the table as a standalone dashboard Ideal for traders who want a quick, at-a-glance summary of multiple markets or instruments without cluttering the chart.
Pine Script® 인디케이터
d1re의
Hann Window FIR Filter Ribbon [BigBeluga]🔵 OVERVIEW The Hann Window FIR Filter Ribbon is a trend-following visualization tool based on a family of FIR filters using the Hann window function. It plots a smooth and dynamic ribbon formed by six Hann filters of progressively increasing length. Gradient coloring and filled bands reveal trend direction and compression/expansion behavior. When short-term trend shifts occur (via filter crossover), it automatically anchors visual support/resistance zones at the nearest swing highs or lows. 🔵 CONCEPTS Hann FIR Filter: A finite impulse response filter that uses a Hann (cosine-based) window for weighting past price values, resulting in a non-lag, ultra-smooth output. hannFilter(length)=> var float hann = na // Final filter output float filt = 0 float coef = 0 for i = 1 to length weight = 1 - math.cos(2 * math.pi * i / (length + 1)) filt += price * weight coef += weight hann := coef != 0 ? filt / coef : na Ribbon Stack: The indicator plots 6 Hann FIR filters with increasing lengths, creating a smooth "ribbon" that adapts to price shifts and visually encodes volatility. Gradient Coloring: Line colors and fill opacity between layers are dynamically adjusted based on the distance between the filters, showing momentum expansion or contraction. Dynamic Swing Zones: When the shortest filter crosses its nearest neighbor, a swing high/low is located, and a triangle-style level is anchored and projected to the right. Self-Extending Levels: These dynamic levels persist and extend until invalidated or replaced by a new opposite trend break. 🔵 FEATURES Plots 6 Hann FIR filters with increasing lengths (controlled by Ribbon Size input). Automatically colors each filter and the fill between them with smooth gradient transitions. Detects trend shifts via filter crossover and anchors visual resistance (red) or support (green) zones. Support/resistance zones are triangle-style bands built around recent swing highs/lows. Levels auto-extend right and adapt in real time until invalidated by price action. Ribbon responds smoothly to price and shows contraction or expansion behavior clearly. No lag in crossover detection thanks to FIR architecture. Adjustable sensitivity via Length and Ribbon Size inputs. 🔵 HOW TO USE Use the ribbon gradient as a visual trend strength and smooth direction cue. Watch for crossover of shortest filters as early trend change signals. Monitor support/resistance zones as potential high-probability reaction points. Combine with other tools like momentum or volume to confirm trend breaks. Adjust ribbon thickness and length to suit your trading timeframe and volatility preference. 🔵 CONCLUSION Hann Window FIR Filter Ribbon blends digital signal processing with trading logic to deliver a visually refined, non-lagging trend tool. The adaptive ribbon offers insight into momentum compression and release, while swing-based levels give structure to potential reversals. Ideal for traders who seek smooth trend detection with intelligent, auto-adaptive zone plotting.
Pine Script® 인디케이터
BigBeluga의
2
Square-root Decay Volume ProfileThis indicator displays a custom price profile that mimics a volume profile using occurrence-based weighting rather than actual volume. It counts how often the selected price source (e.g., close) falls within each price bin over a lookback period. What makes it unique is the use of square-root time decay: more recent price occurrences are given greater importance, while older data is discounted proportionally to the inverse square root of its age. Each bin's relative weight is visualized as a horizontal bar aligned to the right edge of the chart, showing where price has "spent time" more recently. This allows traders to identify areas of interest, balance zones, and potential support/resistance levels based on decayed price density. Key Features: Square-root decay weighting favors recent price action Adjustable lookback period, bin count, and histogram width Works with any price source (close, hl2, etc.) Plots boxes directly on the chart for clear visualization This tool is especially useful for discretionary traders seeking a price-centric alternative to traditional volume profiles, with an added emphasis on recency.
Pine Script® 인디케이터
Tradenometry의
Linear Mean Reversion Strategy📘 Strategy Introduction: Linear Mean Reversion with Fixed Stop This strategy implements a simple yet powerful mean reversion model that assumes price tends to oscillate around a dynamic average over time. It identifies statistically significant deviations from the moving average using a z-score, and enters trades expecting a return to the mean. 🧠 Core Logic: A z-score is calculated by comparing the current price to its moving average, normalized by standard deviation, over a user-defined half-life window. Trades are entered when the z-score crosses a threshold (e.g., ±1), signaling overbought or oversold conditions. The strategy exits positions either when price reverts back near the mean (z-score close to 0), or if a fixed stop loss of 100 points is hit, whichever comes first. ⚙️ Key Features: Dynamic mean and volatility estimation using moving average and standard deviation Configurable z-score thresholds for entry and exit Position size scaling based on z-score magnitude Fixed stop loss to control risk and avoid prolonged drawdowns 🧪 Use Case: Ideal for range-bound markets or assets that exhibit stationary behavior around a mean, this strategy is especially useful on assets with mean-reverting characteristics like currency pairs, ETFs, or large-cap stocks. It is best suited for traders looking for short-term reversions rather than long-term trends.
Pine Script™ 전략
XiaoboFu의