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MSTR Premium/Discount Analyzer by Marius1032)This indicator provides a transparent, real-time framework for evaluating MicroStrategy Inc. (MSTR) based on its two primary value components: Bitcoin Holdings (Mark-to-Market) Core Enterprise Value (ex-Bitcoin) By calculating the Net Asset Value (NAV) per share from both segments, the indicator enables accurate assessment of whether MSTR is trading at a premium or discount relative to its fundamental value. 📊 Key Metrics Displayed on Chart MSTR Share Price (Close) BTC NAV per Share (Holdings × BTC price ÷ Shares Outstanding) Core NAV per Share (Enterprise Value ÷ Shares Outstanding) Total NAV per Share (BTC + Core) Premium / Discount % (Market deviation from NAV) Manual Timestamp for last data input (auditable) Input data taken from www.gurufocus.com finance.yahoo.com 🔧 Customizable Inputs BTC Holdings (default: 592,345 BTC) BTC Price (manually updated) Shares Outstanding (default: 266M) Core Enterprise Value (EV ex-BTC) Data Timestamp (manual) 🧠 Valuation Logic The script separates MSTR’s market value into: Digital Asset Treasury — fully marked to market via BTC price input. Core Software/Analytics Business — approximated using total enterprise value less BTC exposure. This two-part decomposition provides a cleaner NAV structure than traditional book value, which is often distorted by high intangible assets (MSTR’s tangible book value is negative as of Q2 2025). ⚠️ Disclosures All inputs are manual — ensure accuracy by updating with the latest BTC prices and EV disclosures. Core EV is treated as a constant unless updated, and does not include BTC or speculative adjustments. Does not model future BTC acquisitions or operational leverage.
Pine Script® indicator
by Marius1032
Historical Volatility with HV Average & High/Low Trendlines ### 📊 **Indicator Title**: Historical Volatility with HV Average & High/Low Trendlines **Version**: Pine Script v5 **Purpose**: This script visualizes market volatility using **Historical Volatility (HV)** and enhances analysis by: * Showing a **moving average** of HV to identify volatility trends. * Marking **high and low trendlines** to highlight extremes in volatility over a selected period. --- ### 🔧 **Inputs**: 1. **HV Length (`length`)**: Controls how many bars are used to calculate Historical Volatility. *(Default: 10)* 2. **Average Length (`avgLength`)**: Number of bars used for calculating the moving average of HV. *(Default: 20)* 3. **Trendline Lookback Period (`trendLookback`)**: Number of bars to look back for calculating the highest and lowest values of HV. *(Default: 100)* --- ### 📈 **Core Calculations**: 1. **Historical Volatility (`hv`)**: $$ HV = 100 \times \text{stdev}\left(\ln\left(\frac{\text{close}}{\text{close} }\right), \text{length}\right) \times \sqrt{\frac{365}{\text{period}}} $$ * Measures how much the stock price fluctuates. * Adjusts annualization factor depending on whether it's intraday or daily. 2. **HV Moving Average (`hvAvg`)**: A simple moving average (SMA) of HV over the selected `avgLength`. 3. **HV High & Low Trendlines**: * `hvHigh`: Highest HV value over the last `trendLookback` bars. * `hvLow`: Lowest HV value over the last `trendLookback` bars. --- ### 🖍️ **Visual Plots**: * 🔵 **HV**: Blue line showing raw Historical Volatility. * 🔴 **HV Average**: Red line (thicker) indicating smoothed HV trend. * 🟢 **HV High**: Green horizontal line marking volatility peaks. * 🟠 **HV Low**: Orange horizontal line marking volatility lows. --- ### ✅ **Usage**: * **High HV**: Indicates increased risk or potential breakout conditions. * **Low HV**: Suggests consolidation or calm markets. * **Cross of HV above Average**: May signal rising volatility (e.g., before breakout). * **Touching High/Low Levels**: Helps identify volatility extremes and possible reversal zones.
Pine Script® indicator
by V_G_PRASAD
1
EMA Cloud 200 High/Close с цветом трендаEMA Cloud 200 High/Close with Trend Color Overview This indicator creates a dynamic EMA cloud between two Exponential Moving Averages calculated from different price sources, providing clear visual trend identification and support/resistance zones. Key Features Dual EMA System: Upper EMA based on High prices, Lower EMA based on Close prices Custom Timeframe: Analyze EMA on any timeframe regardless of chart timeframe Dynamic Trend Coloring: Green for uptrend, Red for downtrend Visual Cloud: Filled area between EMAs highlights price zones Configurable Period: Default 200-period EMA (adjustable) How It Works The indicator calculates two separate 200-period EMAs: Upper EMA: Based on High prices - shows resistance levels Lower EMA: Based on Close prices - shows support levels Trend Detection: Current price above average EMA = Green (Bullish) Current price below average EMA = Red (Bearish) Trading Applications Trend Identification: Color changes indicate trend shifts Support/Resistance: Cloud boundaries act as dynamic S/R zones Entry/Exit Points: Price interaction with cloud edges Multi-timeframe Analysis: View higher timeframe EMAs on lower timeframe charts Settings EMA Period: Adjust calculation period (default: 200) Top Source: Price source for upper EMA (default: High) Bottom Source: Price source for lower EMA (default: Close) Custom Timeframe: Choose analysis timeframe (default: 15min) Best Practices Use on trending markets for optimal results Combine with other indicators for confirmation Higher timeframes provide stronger signals Cloud thickness indicates volatility levels Perfect for swing traders and trend followers seeking clear visual trend analysis with dynamic support/resistance identification.
Pine Script® indicator
by Oli4ka777
CLMM Vault策略回测 (专业版) v5Explanation of the CLMM (Concentrated Liquidity - Market Maker) Strategy Backtesting Model Developed for the Sui Chain Vaults Protocol Why Are We Doing This? Conducting strategy backtesting is a crucial step for us to make data-driven decisions, validate the feasibility of strategies, and manage potential risks before committing real funds and significant development resources. A strategy that appears to have a high APY may perform entirely differently once real-world frictional costs (such as rebalancing fees and slippage) are deducted. The goal of this backtesting model is to quickly and cost-effectively identify which strategy parameter combinations have the potential to be profitable and which ones pose risks before formal development, thereby avoiding significant losses and providing data support for the project's direction. Core Features of the Backtesting Model We have built a "pro version" (v5) strategy simulator using TradingView's Pine Script. It can quickly simulate the core performance of our auto-compounding and rebalancing Vaults on historical price data, with the following main features: Auto-Compounding: Continuously adds the generated fee income to the principal based on the set profit range (e.g., 0.01%). Auto-Rebalancing: Simulates automatic rebalancing actions when the price exceeds the preset profit range and deducts the corresponding costs. Smart Filtering Mechanism: To make the simulation closer to our ideal "smart" decision-making, it integrates three freely combinable filtering mechanisms: Buffer Zone: Tolerates minor and temporary breaches of the profit range to avoid unnecessary rebalancing. Breakout Confirmation: Requires the price to be in the trigger zone for N consecutive candles to confirm a breakout, filtering out market noise from "false breakouts." Time Cooldown: Enforces a minimum time interval between two rebalances to prevent value-destroying high-frequency trading in extreme market conditions. Important: Simplifications and Assumptions of the Model To quickly prototype and iterate on the TradingView platform, we have made some key simplifications to the model. A fully accurate backtest would require a deep simulation of on-chain liquidity pools (Pool Pair), calculating the price impact (Slippage) and impermanent loss (IL) caused by each rebalance on the pool. Since TradingView cannot access real-time on-chain liquidity data, we have made the following simplifications: Simplified Rebalancing Costs: Instead of simulating real transaction slippage, we use a unified input parameter of single rebalance cost (%) to "bundle" and approximate the total of Gas fees, slippage, and realized impermanent loss. Simplified Fee Income: Instead of calculating fees based on real-time trading volume, we directly input an average fee annualized return (%) as the core income assumption for our strategy. How to Use and Test Team members can load this script and test different strategies by adjusting the input parameters on the panel. The most critical parameters include: position profit range, average fee annualized return, single rebalance cost, and the switches and corresponding values of the above three smart filters.
Pine Script® indicator
by Dam_block
Volatility Zones (STDEV %)This indicator displays the relative volatility of an asset as a percentage, based on the standard deviation of price over a custom length. 🔍 Key features: • Uses standard deviation (%) to reflect recent price volatility • Classifies volatility into three zones: Low volatility (≤2%) — highlighted in blue Medium volatility (2–4%) — highlighted in orange High volatility (>4%) — highlighted in red • Supports visual background shading and colored line output • Works on any timeframe and asset 📊 This tool is useful for identifying low-risk entry zones, periods of expansion or contraction in price behavior, and dynamic market regime changes. You can adjust the STDEV length to suit your strategy or timeframe. Best used in combination with your entry logic or trend filters.
Pine Script® indicator
by nefyodov.artyom
Fibo_Ma with Toggleable 200 EMA Filter Fibo_MA with Toggleable 200 EMA Filter Description: This multi-functional indicator blends Fibonacci-based moving averages with customizable filters and visual enhancements to support various trading strategies. It offers traders the flexibility to analyze trend dynamics and potential reversal zones using multiple tools in one script. Key Features: 🔹 Fibonacci MA Framework Leverage a range of Fibonacci numbers (from 1 to 233) to visualize trend-based EMA lines with optional smoothing. Users can choose the moving average method (SMA, EMA, RMA, WMA, VWMA, etc.) and adjust the smoothing length for fine-tuned analysis. 🔹 VWAP and Dynamic EMA Tools Includes VWAP and a color-coded 200 EMA that updates based on trend slope. These help visualize key dynamic support and resistance levels. 🔹 Multi-Timeframe Support Option to switch the data source to a higher timeframe for broader trend confirmation. 🔹 Signal Highlights Bullish and bearish signal markers based on crossovers with optional filters. Background highlights show whether the current price is above or below a smoothed EMA line. 🔹 Customizable Filters Enable or disable filters like: 200 EMA Position Filter (only signal when price is above or below the 200 EMA) ATR Filter (filter out low-volatility candles) Volume Filter (signal only on sufficient volume) 🔹 Cross Alerts & Labels Built-in alert conditions for crossovers and customizable signal display options—labels, shapes, and background highlights. 🔹 Advanced Options Toggle forecast line visibility and offset Fine-tune alerts using price action relative to the smooth trend line Optional tail and cross label display for deeper chart customization How to Use: This tool can support trend-following, breakout, and pullback strategies. Customize the MA types, filters, and timeframe settings to match your trading style. The script is designed for visual clarity while offering rich configurability for discretionary and system-based traders.
Pine Script® indicator
by jamatou44