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FCF Yield - cristianhkrThis indicator is a fundamental valuation tool that calculates Free Cash Flow Yield in real-time. Unlike standard indicators, this script solves the data gap for European companies reporting semi-annually and allows for short-term projections. What is FCF Yield? It is the real "interest rate" a company generates relative to its current market price. Formula: FCF Yield = (Free Cash Flow / Market Cap) * 100 Key Features: Timeframe Flexibility: Switch between TTM (Trailing Twelve Months), FY (Fiscal Year), and FQ (Fiscal Quarter). Smart Fallback System: Essential for European stocks. If you select "Quarter" for a company that only reports semi-annually (like many European ones: Adidas, LVMH, Pluxee), the script automatically detects and uses the Semi-Annual (FH) data instead of showing an error. Projection/Annualization: Option to annualize short-term data (multiplies Quarters x4 or Semi-Annuals x2) to estimate annual yield based on the last report. Intuitive Visualization: Green area for positive cash generation and red for cash burn. Interpretation Guide (Fundamental): 5%: Generally indicates an attractive valuation (the company generates significant cash relative to its price). < 2%: The company might be overvalued or is a high-growth company reinvesting everything. Negative: The company is burning cash (liquidity risk or early expansion phase).
Pine Script®指標
由cristianhkr提供
Asian Liquidity Sweep + NY Reversal [NY Only]Asian Liquidity Sweep + NY Reversal Concept Asia builds a tight range → liquidity pool London / early NY raids that liquidity (stop hunt) New York delivers the real move in the opposite direction Sessions utc+3 Asia range: 04:00 – 10:00 Liquidity sweep: London open → pre-NY (≈10:00–14:00) Execution window: NY Kill Zone 15:00 – 18:00 Step-by-Step Model Define Asia Range Mark: Asia High Asia Low Liquidity Sweep (Stop Hunt) Price must do ONE of the following: Sweep above Asia High → bullish liquidity taken Sweep below Asia Low → bearish liquidity taken NY Reversal Confirmation (Key Part) Wait for NY Kill Zone and look for: Strong rejection candle Displacement / impulsive move back inside range Optional: small internal structure break on lower TF Entry Rules (High Probability) 🔻 If Asia High is swept: Bias: SELL Entry: After NY rejection On pullback to: Discount zone / FVG OR Asia High retest SL: Above sweep high TP: Asia Low (TP1) NY session low / next HTF liquidity (TP2) If Asia Low is swept: Bias: BUY Entry: NY rejection + displacement Pullback to imbalance / Asia Low SL: Below sweep low TP: Asia High Daily high / premium liquidity arrows/labels-will show when to buy or sell signal-once per day Use volume profile (max) for confirmation of entry point Lets win together
Pine Script®指標
由harry_adera提供
BTC Fundamental Value Hypothesis [OmegaTools]BTC Fundamental Value Hypothesis is a macro-valuation and regime-detection model designed to contextualize Bitcoin’s price through relative market-cap comparisons against major capital reservoirs: Gold, Silver, the Altcoin market, and large-cap equities. Instead of relying on traditional on-chain metrics or purely technical signals, this tool frames BTC as an asset competing for global liquidity and “store-of-value mindshare”, then estimates an implied fair value based on how BTC historically coexists (or diverges) from these benchmark universes. Core concept: relative market-cap anchoring The indicator builds a reference-based fair price by translating external market capitalizations into implied BTC valuation using a dominance framework. In practice, you choose one or more reference universes (Gold, Silver, Altcoins, Stocks). For each selected universe, the script computes how large BTC “should be” relative to that universe (dominance ratio), and converts that into an implied BTC price. The final fair price is the average of the implied prices from the enabled universes. Two dominance modes: automatic vs manual 1. Automatic Dominance % (default) When enabled, the model estimates dominance ratios dynamically using a 252-period simple moving average of BTC market cap divided by each reference market cap. This produces an adaptive baseline that follows structural changes over time and reduces sensitivity to short-term spikes. 2. Manual Dominance % If you prefer a discretionary macro thesis, you can directly input dominance parameters for each reference universe. This is useful when you want to stress-test scenarios (e.g., “BTC should converge toward X% of Gold’s market cap”) or align the model with a specific long-term adoption narrative. Reference universes and data construction - BTC market cap: pulled from CRYPTOCAP:BTC. - Gold and Silver market caps: derived from the corresponding futures symbols (GC1!, SI1!) multiplied by an assumed total above-ground quantity (constant tonnage converted to troy ounces). This provides a practical and tradable proxy for spot valuation context. - Altcoin market cap: pulled from CRYPTOCAP:TOTAL2 (total crypto market excluding BTC). - Stocks market cap proxy (Σ3): a deliberately conservative equity benchmark built from three mega-cap stocks (AAPL, MSFT, AMZN) using total shares outstanding (request.financial) multiplied by price. This avoids index licensing complexity while still tracking a meaningful slice of global equity beta/liquidity. Valuation output: overvalued vs undervalued (log-based) The valuation readout is expressed as a percentage derived from the logarithmic distance between BTC price and the model’s fair price. This choice makes valuation comparable across long time horizons and reduces distortion during exponential growth phases. A positive valuation indicates BTC trading below the model’s implied value (undervalued), while a negative valuation indicates trading above it (overvalued). Oscillator: relative momentum and regime confirmation In addition to fair value, the indicator includes a momentum differential oscillator built from RSI(50): - BTC RSI is compared to the average RSI of the selected reference universes. - The oscillator highlights when BTC strength is leading or lagging the broader macro benchmarks. - Color is rendered through a gradient to provide immediate regime readability (risk-on vs risk-off behavior, expansion vs contraction phases). Visualization and UI components - Fair Price overlay: the computed fair price is plotted directly on the BTC chart for immediate comparison with spot price action. - Valuation shading: the area between price and fair price is filled to visually emphasize dislocation and potential mean-reversion zones. - Oscillator panel: a zero-centered oscillator with filled bands helps you identify persistent trend regimes versus transitional conditions. - Summary table: a right-side table displays the current valuation (over/under) and, when Automatic mode is enabled, the live dominance ratios used in the model (BTC/GOLD, BTC/SILVER, BTC/ALTC, BTC/STOCKS). How to use it (practical workflows) - Macro valuation context: use fair price as a structural anchor to assess whether BTC is trading at a premium or discount relative to external liquidity baselines. - Regime filtering: combine valuation with the oscillator to distinguish “cheap but weak” from “cheap and strengthening” (and the inverse for tops). - Mean-reversion mapping: large, persistent deviations from fair value often highlight speculative extremes or capitulation zones; this can support systematic entries/exits, position sizing, or hedging decisions. - Scenario analysis: switch to Manual Dominance % to model adoption outcomes, policy-driven shifts, or multi-year re-rating assumptions. Important notes and limitations (read before use) - This is a hypothesis-driven macro model, not a literal intrinsic value calculation. Results depend on dominance assumptions, proxies, and data availability. - Gold/Silver market caps are approximations based on futures pricing and fixed supply constants; real-world supply dynamics, above-ground estimates, and spot/futures basis can differ. - The Stocks (Σ3) benchmark is a proxy and intentionally not “the whole market”. It is designed to represent a large-cap liquidity reference, not total equity capitalization. - Always validate signals with additional context (market structure, volatility regime, risk management rules). This indicator is best used as a macro layer in a broader decision framework. Designed for clarity, macro discipline, and repeatability BTC Fundamental Value Hypothesis by OmegaTools is built for traders and investors who want a clean, data-driven way to interpret BTC through the lens of competing asset classes and capital flows. It is particularly effective on higher timeframes (Daily/Weekly) where macro relationships are more stable and valuation signals are less noisy. © OmegaTools, Eros
Pine Script®指標
由OmegaTools提供
Maor Beniash | Pro DashboardMB-PRO | Smart Info & Risk Dashboard Description The MB-PRO indicator is a minimalist dashboard designed to provide traders with rapid situational awareness and critical risk management data, without cluttering the chart. This tool consolidates fundamental and technical data into one organized corner, helping avoid common errors such as entering a trade right before an earnings report or incorrect stop-loss calculations. Key Features: Full Company Name: Displays the complete name of the entity. Market Cap: Shows the current market capitalization. Sector & Industry: Quickly identifies the sector and industry classification. Risk Management (ATR): Displays the Average True Range (14) in both absolute value and percentage (crucial for stop-loss sizing). Earnings Alert: A smart warning mechanism where the text automatically turns orange when the report date is approaching (default: 21 days, adjustable). This helps prevent holding positions during high-risk periods.
Pine Script®指標
由maorbeniash提供
GoM Scalping Pro V1.32 | Multi-Timeframe Signal System🎯 GoM Scalping Pro V1.32 - Professional Multi-Timeframe Trading Signal System GoM Scalping Pro is a comprehensive trading signal indicator designed for serious traders who demand precision, clarity, and professional-grade analysis. Built with advanced algorithms and multiple confirmation layers, this indicator helps you identify high-probability trade setups while filtering out market noise. ⚡ KEY FEATURES 🔹 Smart Signal Detection Our proprietary signal engine identifies optimal entry points using advanced mathematical models. Signals are generated only on confirmed candles, ensuring zero repainting and reliable backtesting results. 🔹 Multi-Timeframe Hierarchy Filter (MTF) Every signal is validated against higher timeframe trends using a hierarchical confirmation system. This ensures you're always trading in the direction of the dominant market flow, dramatically improving win rates. 🔹 Intelligent Market Filters -RSI Momentum Filter**: Avoids buying in overbought conditions and selling in oversold zones -Volatility Filter: Filters out signals during abnormal market volatility -Volume Filter: Confirms signals with adequate market participation -Session Filter: Trade only during your preferred market hours (UTC) 🔹 Automatic TP/SL Level Calculation Each signal comes with precisely calculated: - Entry Price - Stop Loss (with optional ATR buffer for safety) - 4 Take Profit Levels (TP1, TP2, TP3, TP4) Risk/reward ratios can be set as fixed values or dynamic ratios that adapt to market conditions and timeframe. 🔹 Real-Time HTF Dashboard A professional dashboard displays trend direction across 9 timeframes (M1 to Monthly) with: - Visual arrows indicating bullish/bearish bias - Color-coded cells (Green = Buy, Red = Sell, Gray = Neutral) - Weighted sentiment score with clear action labels: - PERFECT BUY / PERFECT SELL - GOOD BUY / GOOD SELL - SMALL BUY / SMALL SELL - WAIT 🔹 Comprehensive Alert System Never miss a signal with detailed alerts including: - Signal direction (BUY/SELL) - Entry price - Stop loss level with pip distance - All 4 TP levels with pip distances - Fully compatible with TradingView's alert system (push, email, webhook) 📊 OPTIMIZED FOR | Trading Style | Recommended Timeframes | |--------------|----------------------| | Scalping | M1, M5, M15 | | Intraday | M15, M30, H1 | | Swing Trading | H1, H4, D1 | | Position Trading | D1, W1, MN | The indicator automatically adjusts its internal parameters based on your selected timeframe for optimal performance. ⚙️ SETTINGS OVERVIEW Multi-Timeframe Filter - Enable/disable HTF hierarchy validation Market Filters - Volume threshold (% of 20-bar average) - Session filter with customizable hours RSI Momentum Filter - RSI period and overbought/oversold levels - Volatility threshold (ATR multiplier) Dynamic TP System - Fixed or dynamic risk/reward ratios - Base R:R ratio for dynamic calculation SL Buffer - Optional ATR-based buffer for stop loss safety Dashboard - Position (4 corners) - Size (Normal, Large, Extra Large) - Custom colors Display - Signal colors - Line length for TP/SL levels 🚀 HOW TO USE 1. Add the indicator to your chart 2. Select your timeframe - the indicator auto-optimizes settings 3. Wait for a signal - arrows appear with BUY/SELL labels 4. Check the dashboard - confirm overall market sentiment 5. Use the levels - Entry, SL, and TP lines are drawn automatically 6. Set alerts - receive notifications on your phone or email Pro Tips: - Use signals that align with the dashboard's "PERFECT" or "GOOD" readings - Enable MTF filter for higher quality signals - Adjust session filter to match your preferred trading hours - Start with default settings, then fine-tune based on your asset ⚠️ DISCLAIMER This indicator is a technical analysis tool designed to assist traders in their decision-making process. It does not guarantee profits and should not be considered as financial advice. - Past performance is not indicative of future results - Always use proper risk management - Never risk more than you can afford to lose - This tool should be used as part of a complete trading strategy - Backtest thoroughly before live trading Trading involves substantial risk of loss and is not suitable for all investors. 🌐 ABOUT GOD OF MARKET God of Market develops professional-grade trading tools for retail and institutional traders. Our mission is to provide accessible, high-quality technical analysis solutions. 🔗 Website: godofmarket.com 📧 Support: contact@godofmarket.com
Pine Script®指標
由god_of_markets_fx提供
Trade TrackerThis indicator is a lightweight trade P/L monitor that takes a manual entry price, direction (long/short), position size, and a configurable dollar value per point/tick. It computes real-time profit/loss by comparing the current close to the entry price, converting the move into points and then dollars based on your size and tick value. On the last bar, it draws an entry line at the specified price and renders a stacked label at that level showing Buy/Sell, size, dollar P/L (green/red), and the point P/L. It continuously deletes and redraws the line/labels to keep the chart clean, and it also plots the entry price so the value is visible in the data window and price scale.
Pine Script®指標
由gggoaaat提供
P/E Ratio (TTM)This indicator plots the trailing P/E ratio (TTM) using GAAP EPS (TTM) sourced directly from TradingView’s fundamental data. It includes valuation‑zone color coding, yearly labels, and a clean, compressed visual layout suitable for most equities. The goal is to provide a fast, intuitive view of how expensive or cheap a stock is relative to its historical earnings power. Note: The indicator caps P/E values around 120 for visual clarity. Negative P/E ratios are intentionally excluded, since P/E is undefined when EPS is negative. You can adjust the cap or remove it entirely if you prefer a full‑range view. This tool is especially useful for identifying periods when a company is trading at historically elevated or discounted valuation levels.
Pine Script®指標
由followmytradingjournal提供
Time Zones PROGeopbytech – Time Zones PRO (v6) Geopbytech – Time Zones PRO is a professional market session indicator designed for intraday, scalping, and Smart Money Concepts (SMC) traders who want precise market timing and clean chart context. This indicator allows you to visualize up to 5 configurable market sessions in a single script, fully adaptable to any timezone and trading style. 5 independent sessions (ON / OFF per session) Custom session time ranges Editable timezone (IANA format: America/New_York, Europe/London, UTC, etc.) Soft and clean background shading Session start flag (🚩) printed at the exact opening candle Works on Forex, Indices, Gold, and Crypto Built with Pine Script v6 (latest version) Common Use Cases London Session – Early liquidity grabs and manipulation New York Killzone – High-probability SMC entries Asia Range – Range building and target mapping Custom sessions based on your local timezone Easy Configuration All settings are accessible from the indicator panel: Enable or disable each session Edit session names and time ranges Adjust background colors Select your real local timezone Toggle session start flags on or off No need to load multiple indicators — everything is centralized into one professional tool. Indicator Philosophy This indicator does NOT provide buy or sell signals. Its purpose is to provide market context, timing, and structure , helping traders focus only on periods where institutional liquidity is active. Perfectly compatible with: Smart Money Concepts (SMC) Order Blocks Fair Value Gaps (FVG) Market Structure Liquidity Sweeps Author Geopbytech – Juan Delgado Disclaimer This indicator is for educational purposes only. It does not constitute financial advice. Always trade with proper risk management.
Pine Script®指標
由Geopbytech提供
market-data[t90]Core Functionality The dashboard tracks five key metrics across multiple time horizons (Current, 24-Hour Change, and 30-Day Trend): Open Interest (OI): Tracks the total value of outstanding derivative contracts. Rising OI alongside rising price typically confirms a strong trend, while falling OI suggests a squeeze or trend exhaustion. Premium/Funding: Visualizes the cost of carry or price discrepancy between Perpetual and Spot markets. This is a vital gauge for identifying extreme bullish or bearish sentiment. Spot Volume: Real-time volume data from the underlying spot market to confirm "real" buying and selling pressure. Perpetual Volume: High-frequency derivative volume to track speculative activity. Perp/Spot Ratio: A unique ratio that compares speculative volume to organic spot volume. High ratios often precede periods of high volatility or potential liquidations. Key Features Automatic Ticker Mapping: The script intelligently detects if you are on a Spot or Perp chart and automatically fetches the corresponding data from Binance to populate the table. Visual Trend Indicators: Uses color-coded logic to highlight short-term momentum (1-day) versus long-term trend health (30-day). Customizable UI: Fully adjustable table positioning and sizing to fit any chart layout or screen resolution. Live Status Check: Includes a data-integrity monitor to ensure you are viewing the most up-to-date market information. How to Use Spotting Divergences: If the Perpetual volume is surging while Spot volume remains flat (High Perp/Spot Ratio), the market may be over-leveraged and prone to a "flush." Confirming Breakouts: A healthy price breakout should ideally be accompanied by rising Open Interest and positive Spot volume growth. Sentiment Extremes: Monitor the "Premium" section; extreme positive or negative values often signal that the crowd is "all-in" on one side, hinting at a potential reversal. Disclaimer: This tool is for informational and educational purposes only. Market data is sourced from third-party providers and may be subject to latency. Trading involves significant risk.
Pine Script®指標
由traderninezero提供
NEW 6 Option OBV Dashboard ALGO 1.0NEW 6 Option OBV Dashboard ALGO 1.0 is a powerful multi-timeframe indicator designed for precision options trading. It analyzes six Call and Put contracts using OBV-based momentum logic to reveal real buying and selling pressure. The dashboard presents clear, real-time strength readings that help identify trend direction, reversals, and dominant market side. Ideal for strategy building, scalping, and intraday decisions with accurate, data-driven confirmation.
Pine Script®指標
由DRSKDAA提供
Predictive Emini Dynamics] ENHANCED - Price Cascade Focus v2201A smart-money + market-dynamics Cascade trading system that predicts short-term direction, highlights high-probability zones, and filters bad trades. Core functions 1. Market Structure (SMC) Detects FVGs, Order Blocks, BOS, CHoCH Shows where institutions likely buy/sell Auto-removes zones when mitigated 2. Liquidity Logic Tracks Asia / London / NY highs & lows Detects liquidity sweeps Identifies cascade sweeps (multi-session stop hunts → high conviction reversal) Warns on fakeouts (both sides swept = stay out) 3. Direction Prediction Engine Scores bullish vs bearish using: Momentum Volume pressure Delta Absorption Sweeps Structure breaks Outputs: Forecast: BULL / BEAR / NEUTRAL Strength % (confidence) 4. Trade Signal System Only triggers trades when: Forecast strength is high Volume confirms (RVOL) EMA trend aligns Candle confirms Not in danger zone Auto-sets: Stop (ATR based) Target (R multiple) 5. Danger Zone Filter (very important) Blocks trading when: Low volume Low volatility Tight range Lunch hours This prevents chop and overtrading. 6. Sessions & Context Draws Asia, London, NY boxes Helps you know when moves are likely to happen 7. Stats Table (decision panel) One glance tells you: Trade or wait Direction & confidence Trend, momentum, pressure Session Danger status This indicator waits for smart money to grab liquidity, confirms direction with momentum + volume + structure, blocks bad conditions, then signals only high-probability trades. Pair with my Pulse system for best results
Pine Script®指標
由boondogler提供
FED Net Liquidity (WALCL - TGA - RRP)a measure of FED net liquidity with color codes. What is FED Net Liquidity? FED Net Liquidity is a proxy for how much usable US-dollar liquidity is actually available to financial markets. It combines three balance-sheet items from the Federal Reserve and the US Treasury into one number: FED Net Liquidity = FED Balance Sheet (WALCL) − Treasury General Account (TGA) − Reverse Repo (RRP) The goal is simple: to estimate how much money is “in play” for risk assets, rather than parked or withdrawn.
Pine Script®指標
由vbarink提供
Manoj Premium SystemManoj Premium System is a rule-based trading indicator designed to identify high-probability Buy and Sell signals, with a primary focus on NIFTY. The indicator filters out market noise and generates signals only when predefined conditions align, helping traders stay disciplined and avoid overtrading. Features: Clear Buy and Sell signals on the chart Non-repainting logic after candle close Suitable for intraday trading Works with TradingView alerts Optimized for index trading, especially NIFTY Usage: Apply on the NIFTY chart, wait for confirmed signals, and manage trades using your own stop loss and targets. Disclaimer: This indicator is for educational purposes only. Trading involves risk. Always use proper risk management and backtest before live trading.
Pine Script®指標
由CAManojKumar提供
Indian Equities Theme Tracker [EWT] - Sector Rotation HeatmapIdentify where the "Smart Money" is flowing in the Indian Markets. The Indian Equities Theme Tracker is a powerful visual dashboard designed for NSE traders and investors to monitor sector rotation and relative strength in real-time. By tracking the most liquid Exchange Traded Funds (ETFs), this tool provides a birds-eye view of the Indian economy—from core benchmarks like Nifty 50 and Nifty 500 to high-growth themes like Defence, EV, Tourism, and Energy. In modern markets, capital doesn't move into all stocks at once; it rotates between sectors. This script helps you spot the leaders and laggards across five different timeframes, ensuring you are always positioned in the strongest themes. 🚀 Key Features : 23+ Essential Themes: Tracks Broad Market, Market Caps (Mid/Small), Sectors (IT, Bank, Auto, Metal), and Narratives (Defence, Tourism, EV, Energy). Dynamic Performance Sorting: Automatically reorders the table based on your selected lookback (1 Day, 1 Week, 1 Month, 3 Months, or YTD). Heatmap Logic: Intuitive color coding helps you instantly identify extreme bullishness or bearishness across the board. Liquidity Focused: Uses the most liquid NSE ETFs (BeES and equivalent) to ensure the data is accurate and reflects tradeable prices. Pro UI Design: A clean, professional dashboard that can be positioned anywhere on your chart without cluttering your price action analysis. 📊 Themes Included : Benchmarks: Nifty 500, Nifty 50, Nifty Next 50. Market Caps: Midcap 150, Smallcap 250. Sectors: Private & PSU Banks, IT, Pharma, Healthcare, FMCG, Auto, Metals, Infra, Realty. Thematic/Narratives: Defence, Tourism, Energy, EV & New Age Automotive, Consumption. Safe Havens: Gold & Silver. 🛠️ How to use : Timeframe: Switch to the Daily (D) timeframe for the best results. Settings: Use the inputs to change the table position (Top/Middle/Bottom) and the sorting criteria. Strategy: Look for themes that are consistently at the top of the "1 Month" and "3 Month" lists—these are your structural leaders. Use "1 Day" to spot quick tactical bounces. Disclaimer: This indicator is for educational and informational purposes only and does not constitute financial advice. Always perform your own due diligence.
Pine Script®指標
由YetAnotherTA提供
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions. It answers the question: If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function? What This Indicator Adds This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp: 1. Adoption grows over time You specify: TV CAGR (%) SoV CAGR (%) These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve. 2. Terminal 2030 price is computed analytically The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as: “2030 Implied Price = $X” This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation. 3. This is not a trading indicator This model is not designed for: Scalping Breakouts Entry timing Momentum trading It is designed for: Long-term valuation anchoring Scenario modeling Macro thesis testing Adoption-based forecasting Narrative vs fundamentals comparison How to Read the Chart Market Price (Close) This is the actual XRP market price. It reflects: Speculation Liquidity Leverage Narrative Emotion Implied Price (Ramp) This is the fundamental valuation curve. It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true. Bands (Optional) The ±% bands are valuation tolerance zones. They are not volatility bands. They help visualize: Overvaluation Undervaluation Reversion zones 2030 Label The label: 2030 Implied Price = $X represents the terminal valuation implied by your assumptions. This is the most important output of the model. What Makes the Price Go Higher To increase the implied 2030 price, one or more of these must change: 1. Higher Transaction Adoption (TV) Inputs: TV0 TV CAGR % This reflects real-world economic usage. Higher TV means XRP is settling more real value per day. Examples: Cross-border payments Tokenized assets Treasury settlement Interbank liquidity rails 2. Higher Store-of-Value Demand (SoV) Inputs: SoV0 SoV CAGR % This reflects long-term holding demand. This is the most powerful driver of long-term price. It models: Institutional holdings Strategic reserves Collateral usage Long-term investor behavior 3. Lower Velocity Input: Velocity V Lower velocity means XRP must be held longer to support the same transaction volume. This implies: Reserve-like behavior Collateralization Treasury holding Structural stickiness Price is inversely proportional to velocity. 4. Lower Effective Supply Inputs: Supply0 Supply CAGR Supply cap If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price. Why This Matters Most crypto price models are: Technical Reflexive Narrative-driven Non-falsifiable This one is: Structural Adoption-based Testable Falsifiable If XRP never achieves the adoption implied by your inputs, the model will not justify high prices. This indicator is a forward-looking valuation engine, not a trading tool. It shows: What XRP’s price must be for your beliefs about its future to be true. It forces clarity. It forces discipline. And it converts stories into structure.
Pine Script®指標
由crypticav7776提供
Blockcircle MRS - Macroeconomic Risk ScorecardOVERVIEW This BLOCKCIRCLE MACROECONOMIC RISK SCORECARD (MRS) is a real-time economic analysis dashboard that tracks over 30 key metrics and proprietary indicators across GDP, employment, income, consumption, industrial production, yield curves, and credit markets. It consolidates data that would otherwise require monitoring dozens of separate sources into a single, actionable interface. The core purpose is straightforward: know when conditions support risk-taking and when caution is warranted. Whether you lean aggressive or conservative, this tool gives you the data foundation to adjust your positioning across different timeframes. It delivers both daily short-term insights and a long-term perspective in one view. WHAT MAKES IT ORIGINAL AND DIFFERENT This indicator represents years of research into recession forecasting and macroeconomic analysis, distilled into a unified system that goes far beyond what standard economic dashboards provide. Seven distinct recession risk methodologies run simultaneously: M1 Proprietary Composite, M2 GDP 2-Quarter Rule, M3 Yield Curve Inversion, M4 Sahm Rule, M5 Credit Stress Index, M6 Leading Indicators, and M7 Combined Method The M1 model is a proprietary scoring system developed through extensive backtesting against historical recession data, weighting GDP, GDI, employment, income, consumption, industrial production, and delinquency data through a calibrated formula Historical percentage changes span eight distinct lookback periods (1P through 50P), allowing you to see momentum shifts that single-period comparisons miss entirely Quantitative ratios, including Employment/Population, GDP/GDI divergence, Income/Consumption, Monetary Velocity, Industrial Momentum, and Real Interest Rate, provide context that raw numbers alone cannot deliver Credit stress monitoring tracks delinquency acceleration across seven loan categories, catching deterioration before it shows up in headline figures The combined risk score synthesizes all methodologies into a single weighted output with color-coded severity levels CORE FEATURES Unified dashboard structure with consistent columns across all sections: VALUE, 1P%, 2P%, 3P%, 5P%, 10P%, 20P%, 30P%, 50P%, TF, STATUS, and SIG Standardized STATUS classifications provide immediate interpretation without requiring deep economic knowledge TF column displays data frequency for each metric (3M for quarterly, M for monthly, W for weekly, D for daily) Compact view toggles let you hide the TF column or extended period columns when you need a cleaner display NBER recession shading overlays historical recession periods directly on the chart with optional start/end labels Five fully customizable moving averages with selectable sources from any risk model or economic metric Configurable alert system with multi-condition triggers for risk threshold breaches across any methodology Everything on the scorecard is configurable to your exact needs and wants METRICS COVERAGE Core Recession Metrics: Real GDP, Gross Domestic Income, Total Nonfarm Payrolls, Civilian Employment, Real Personal Income, Real Personal Consumption, Industrial Production Key Economic Indicators: Unemployment Rate, Yield Curve (10Y-2Y), M2 Money Supply, Fed Balance Sheet, Consumer Sentiment, Leading Economic Index, ISM Manufacturing PMI, Building Permits, NY Fed Recession Probability Financial Stress Metrics: Financial Conditions Index (NFCI), High-Yield Spread, TED Spread, Corporate Spread (BAA-AAA), VIX, Initial Jobless Claims Delinquency Tracking: All Loans, Consumer Loans, Credit Card, Business Loans, Residential RE, Single Family Residential, Commercial RE Quantitative Ratios: Employment/Population Ratio, GDP/GDI Ratio, Income/Consumption Ratio, Monetary Velocity, Industrial Momentum, Real Interest Rate USE CASES Assess economic and monetary policy impacts before making asset allocation decisions Monitor recessionary risk through multiple independent methodologies and the unified composite score Track credit stress as an early warning system before problems appear in broader markets Validate or challenge economic narratives circulating in financial media against objective, sourced data Time entries and exits in risk assets based on macro regime identification Compare current conditions against historical precedents using the multi-period change analysis TECHNICAL SPECIFICATIONS Optimized data architecture reduced script complexity from 40+ request.security() calls to 38 highly efficient calls Function-based table rendering dramatically improves execution speed and reduces loading times Chart labels display full metric names with MA configuration details for immediate identification Modular dashboard sections can be individually enabled or disabled based on your focus areas Risk threshold levels are fully adjustable to match your personal risk tolerance You can setup precise alerts to be notified when specific recessionary risk models are forecasting a potential recession in the horizon, this can be tailored to your customized needs
Pine Script®指標
由blockcircle提供
Blockcircle GLS - Global Liquidity ScorecardOVERVIEW The BLOCKCIRCLE GLOBAL LIQUIDITY SCORECARD(GLS) is a professional-grade macro liquidity monitoring system built for traders who base positioning decisions on monetary conditions. The simplest application involves tracking the global M2 money supply forward projected 10 to 14 weeks, which provides a reasonably accurate forecast of risk asset price direction like BTC or leading Tier 1 stocks. This scorecard helps you identify whether monetary conditions support risk-on or risk-off positioning across short and long timeframes. HOW TO USE IT When net liquidity is positive and rising with green signals, when M2 is expanding, and when the majority of central banks are easing, consider long positional bias with expectations of rising asset prices. When net liquidity is negative or falling with red signals, when M2 is contracting, and when central banks are tightening, consider defensive positioning or short bias with expectations of declining asset prices. Use the forward projected M2 overlay to anticipate where Bitcoin and S&P 500 prices may trend in the coming weeks. Monitor the funding rate section for stress signals that often precede major market moves. Watch the automated regime detection status which classifies conditions as CRITICAL, TIGHT, NEUTRAL, or AMPLE based on rate relationships. WHAT MAKES IT ORIGINAL AND DIFFERENT This is not a simple M2 chart overlay. The GLS aggregates liquidity data from seven major economies, converts everything to USD using live FX rates, and calculates US Net Liquidity using the formula (Fed Balance Sheet minus RRP minus TGA). The scorecard normalizes all metrics across timeframes with multi-period percentage changes at 1P, 2P, 3P, 5P, 10P, 20P, and 50P intervals, giving you trend strength context that single-value displays cannot provide. The proprietary Monetary Policy Scorecard evaluates each major central bank on a 0 to 100 scale based on balance sheet and money supply changes, then aggregates a global score. This lets you see at a glance whether worldwide policy is easing, neutral, or tightening. The automated liquidity regime detection for short-term funding rates classifies conditions as CRITICAL, TIGHT, NEUTRAL, or AMPLE based on the relationship between SOFR, IORB, and Fed Funds boundaries. The dashboard presents all data in a unified scorecard format with color-coded percentage changes, moving average comparisons, status classifications, and signal indicators for each metric. This consolidation eliminates the need to monitor multiple separate indicators or data sources. CORE LIQUIDITY METRICS Global M2 Money Supply aggregated from US, EU, Japan, China, UK, Canada, and Australia with live USD conversion. Global Central Bank Balance Sheet tracking across all major economies. US Net Liquidity calculation providing the critical liquidity measure that correlates with risk asset performance. Reverse Repo (RRP) monitoring showing cash parked at the Fed and its drain rate. Treasury General Account (TGA) tracking government spending and building patterns. Multi-period percentage change columns showing momentum across 1P through 50P timeframes. SHORT-TERM FUNDING RATE MONITORING Overnight Lending Rate (SOFR) displayed as the white line on the chart with real-time values. 30-Day Lending Rate Average for smoothed trend analysis. Bank Reserve Rate (IORB) serving as the Fed anchor rate shown in pink. Fed Rate Ceiling and Floor boundaries visualized as the blue-filled corridor on the chart. Actual Fed Rate (EFFR) showing where rates actually trade. Automated regime classification displayed in the STATUS column based on rate relationships. FED OPERATIONS TRACKING Fed Emergency Lending (Standing Repo Facility) usage as a stress indicator with DORMANT, ACTIVE, ELEVATED, or HIGH STRESS classification. Fed Treasury Holdings showing bond portfolio changes with ADDING or DRAINING status. Fed Total Assets for overall balance sheet direction. Dollar Strength Index with inverted signal logic for liquidity interpretation. MONETARY POLICY SCORECARD Individual country scores for US, Japan, EU, China, and UK on a 0 to 100 scale displayed in the VALUE column. Scoring based on 3-period changes in both central bank balance sheets and M2 money supply. Global aggregate score highlighted with EASING, NEUTRAL, or TIGHTENING classification. Multi-period percentage changes for each country to identify acceleration or deceleration in policy stance. MARKET AND RATIO ANALYSIS Bitcoin, Total Crypto, and S&P 500 market cap tracking with BULLISH, BEARISH, or NEUTRAL trend classification. BTC/M2 Ratio showing Bitcoin performance relative to money supply growth with OUTPERFORM or UNDERPERFORM status. SP500/M2 Ratio for equity valuation against liquidity expansion. Liquidity Velocity measuring how efficiently money supply translates to net liquidity with OVERHEATING, NORMAL, or SLUGGISH classification. CONFIGURABLE ALERTS ENGINE Net Liquidity vs MA alerts with customizable operators including crosses above, crosses below, and threshold comparisons. Fed Balance Sheet consecutive increase or decrease alerts over configurable periods. RRP threshold alerts for drain completion monitoring. TGA change percentage alerts for spending or building events. M2 growth acceleration or deceleration alerts. SOFR above IORB alert for tight liquidity conditions. SOFR above Fed Funds ceiling alert for critical stress conditions. CHART PLOTTING OPTIONS Toggle individual plots for all liquidity metrics, funding rates, market caps, and ratios. Forward projected M2 overlay with configurable week offset from 0 to 52 weeks. Fed Funds corridor visualization with filled area between ceiling and floor as shown in the blue shaded region. Automatic end-of-chart labels showing current values for all active plots. DASHBOARD CONFIGURATION Adjustable table position with options for all corners and middle positions. Text size options from tiny to large for different screen configurations. Toggle visibility for each section independently, including Liquidity Metrics, Short-Term Funding, Fed Operations, Market Prices, Monetary Policies, Liquidity Ratios, and Summary. Select which countries to include in global M2 and central bank balance sheet aggregations. Choose between SMA and EMA for all moving average calculations with configurable length. SUMMARY PANEL The GLS Summary section at the bottom of the dashboard provides a consolidated view combining liquidity trend, funding conditions, policy stance, and market sentiment into a single status line. Below that, plain-language interpretations explain whether the Fed is adding or draining liquidity, whether cash is returning to or exiting markets via RRP, and whether Treasury is spending or building reserves. LIMITATIONS AND CONSIDERATIONS Economic data updates on varying schedules. M2 data is typically monthly, central bank balance sheets are weekly, and funding rates are daily. The indicator uses the most recent available data point. FX conversion introduces some noise during periods of extreme currency volatility. Forward M2 projection is a time-shifted overlay of historical data, not a predictive model. It works because liquidity changes tend to lead asset prices by several weeks, but this relationship is not guaranteed. The Monetary Policy Score is a simplified heuristic. Actual central bank policy involves many factors beyond balance sheet and M2 changes. Past correlations between liquidity and asset prices do not guarantee future results. RECOMMENDED TIMEFRAMES The scorecard is designed for macro analysis on daily, weekly, and monthly charts. Shorter timeframes are meant to track short-term funding rates daily, and the other fields will show the same underlying data but may not provide additional signal value given the update frequency of economic and quantitative data sources.
Pine Script®指標
由blockcircle提供
SPY Options Targets -IV Expected MoveWhat this indicator is? This tool turns option implied volatility into two things: 1) Expected move levels on the SPY chart for a chosen time horizon 2) Estimated option premium targets if SPY reaches those levels It is built to answer three trading questions: 1) How far can SPY reasonably move in my holding window 2) What SPY levels should I use for profit targets or invalidation 3) If SPY hits those levels, what option price is a realistic target What the bands mean on the SPY chart The bands are expected move levels on the underlying, recalculated each bar from the selected option’s implied volatility. One sigma band The teal band is the expected one standard deviation move over the next Horizon minutes. In practice, this is a normal move zone for that holding window. Two sigma band The orange band is the expected two standard deviation move over the next Horizon minutes. In practice, this is a large move zone for that holding window. How to interpret value If price is near the middle of the bands, the market is behaving normally for that window. If price approaches the one sigma band, the move is extended for that window. If price approaches the two sigma band, the move is unusually large for that window and you should expect either strong continuation or sharp mean reversion depending on market context. What the table means and how to use it IV Implied volatility solved from the selected option price. Higher IV widens the bands and increases option targets. DTE Days to expiry of the selected option. Near expiry options can change faster and IV can shift quickly. H move 1 sigma The projected one sigma SPY move in dollars for the selected Horizon minutes. This is the key number for planning. Opt at plus 1 sigma and minus 1 sigma If SPY reaches the one sigma upper band or the one sigma lower band, the indicator estimates what your selected option should be worth at that moment, assuming implied volatility does not change. Opt at plus 2 sigma and minus 2 sigma Same idea for the two sigma bands. Now opt px Current option price for reference. ................................................................................................................. How to trade using it? Step 1 Pick the right option input Choose the same expiry you plan to trade and pick a liquid contract, ideally at the money or near the money. This makes the IV reading more representative of the current tape. Step 2 Set the horizon to your holding time If you typically hold 15 to 30 minutes, set Horizon minutes to 15 or 30. If you typically hold 60 to 120 minutes, set it accordingly. This matters because the bands represent expected move for that exact window. Step 3 Use the bands to define trade planning For a long bias Entry is your setup. The bands are used for targets and risk. Target 1 is the one sigma upper band. Target 2 is the two sigma upper band if momentum supports continuation. Invalidation can be defined as losing the mid zone and failing to reclaim, or a clear level based stop. The indicator does not choose your stop. It gives your realistic upside distance. For a short bias Target 1 is the one sigma lower band. Target 2 is the two sigma lower band if momentum supports continuation. Invalidation can be defined similarly using your structure. Step 4 Use the option targets as profit taking levels Once you enter an option trade, ignore random premium swings and anchor to the table. Common approach Take partial profit when the option approaches the plus or minus one sigma target value. Hold a smaller runner for the plus or minus two sigma target value. If SPY hits the one sigma band but the option is far below the table target, it usually means implied volatility is dropping. Reduce expectations or exit earlier. If SPY hits the one sigma band and the option is above the table target, it usually means implied volatility expanded. Consider taking profits sooner because this extra premium can mean revert. Step 5 Use it to choose strikes Before entering, check whether your desired option profit requires SPY to travel to the two sigma band within your horizon. If yes, that is a lower probability trade for that window. If your plan is achievable around the one sigma band, it is typically more realistic. .................................................................................................................. Practical examples Scalp example Horizon 30 minutes. If H move 1 sigma is about 1 dollar, then expecting a 3 dollar SPY move in 30 minutes is a two to three sigma expectation and should be treated as a low probability scalp unless a news event is active. Intraday example Horizon 120 minutes. If H move 1 sigma is about 2 dollars, a 2 dollar move is a reasonable target and a 4 dollar move is the stretch target. Important limitations Implied volatility changes The option target prices assume IV stays constant. In real markets IV can change during the move, especially on 0DTE, around news, or during sharp selloffs. Treat option targets as a baseline estimate. Not a standalone signal This indicator does not generate buy or sell signals. Combine it with your entry model, structure, or momentum confirmation. Liquidity matters Very wide bid ask spreads can distort the inferred IV. Use liquid contracts. Suggested defaults for SPY Use a liquid near the money option for the current expiry. Horizon 30 for scalps, 60 for intraday, 120 for swings. Keep expiry time at 16:00 New York. Disclaimer This script is for educational and informational purposes only and is not financial advice. Options involve risk and may not be suitable for all traders.
Pine Script®指標
由NeuralMarkets提供
AuditLens - Profit Quality Analyzer📊 AuditLens - Profit Quality Analyzer Ever wonder if a company's profits are real or just accounting tricks? This indicator helps you spot potential earnings manipulation by analyzing the gap between reported profits and actual cash generation. ━━━━━━━━━━━━━━━━━━━━━━━━ 🔍 WHAT IT DOES ━━━━━━━━━━━━━━━━━━━━━━━━ Calculates the "Divergence Ratio": (Net Income - Operating Cash Flow) / Total Assets • Positive divergence = Profits NOT backed by cash (risky) • Negative divergence = Cash exceeds profits (healthy "cash cow") ━━━━━━━━━━━━━━━━━━━━━━━━ 🚦 SIGNAL GUIDE ━━━━━━━━━━━━━━━━━━━━━━━━ 🔴 RED FLAG (>10%): High risk - possible aggressive revenue recognition 🟠 ORANGE: Divergence trending up for 3+ quarters 🟡 YELLOW: Divergence trending up for 2+ quarters 🟢 GREEN (<-5%): "Cash Cow" - strong cash generation ✅ HEALTHY (0 to -5%): Normal profit quality ━━━━━━━━━━━━━━━━━━━━━━━━ 📈 HOW TO USE ━━━━━━━━━━━━━━━━━━━━━━━━ 1. Add to any stock chart 2. Check the summary table (top right) 3. Look for RED FLAGS before buying 4. Prefer stocks with negative divergence (cash cows) ━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ FAMOUS EXAMPLES ━━━━━━━━━━━━━━━━━━━━━━━━ • Enron (2001): Showed profits but burned cash → Bankruptcy • Wirecard (2020): €1.9B "cash" that didn't exist → Fraud • Luckin Coffee (2020): Fake revenue, no cash backing → Delisted This indicator would have flagged all of them. ━━━━━━━━━━━━━━━━━━━━━━━━ 🔗 FULL VERSION ━━━━━━━━━━━━━━━━━━━━━━━━ Want more detailed analysis with: • 6 advanced audit rules • Historical trend analysis • Receivables & Inventory checks • Detailed reports for any stock 👉 Try the full version FREE: auditlens-check.netlify.app ━━━━━━━━━━━━━━━━━━━━━━━━ 📚 THE LOGIC ━━━━━━━━━━━━━━━━━━━━━━━━ Based on forensic accounting principles: - Companies can manipulate earnings (accruals) - But cash flow is harder to fake - Big gap between the two = potential red flag This is NOT financial advice. Always do your own research. ━━━━━━━━━━━━━━━━━━━━━━━━ Built by AuditLens team 🔍 Questions? DM or comment below.
Pine Script®指標
由crg900118提供