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DR/IDR Sessions with Standard Deviation (v1.5)This indicator plots the Defining Range (DR) and Initial Defining Range (IDR) during Regular, After, and Overnight sessions. It automatically identifies the session highs, lows, and midpoints, then extends these levels into later trading hours for market structure analysis. Key features: 📍 Session Detection: Automatically marks Regular (RDR), After-hours (ADR), and Overnight (ODR) ranges. 📈 DR & IDR Lines: High, Low, and optional Mid lines for both DR and IDR. 🟩 Opening Line: Plots the session’s opening price with customizable extension options. 🎨 Visual Boxes: Highlights the DR/IDR area with customizable up/down coloring (based on candle open/close). ➕ Standard Deviation Lines: Plots levels at multiples of 0.5 × IDR, either dynamically (following price) or statically (fixed number of levels). ⏳ Extend Options: Extend ranges to session end, ADR end, ODR end, or dynamically follow price. ⚙️ Highly Customizable: Colors, line styles, box shading, visibility history, and extension behavior. Usage: Traders use this indicator to analyze liquidity, session ranges, and potential breakout or mean-reversion zones. The DR/IDR concept is often used in ICT-style trading to identify accumulation ranges and expansion phases. Standard Deviation lines help in spotting overextensions and possible reversal levels.
مؤشر Pine Script®
من ‎Quantel_io‎
FVG & IFVG ICT IndicatorThe FVG & IFVG ICT Indicator is a comprehensive technical analysis tool designed for traders who follow the Fair Value Gap (FVG) and Inversion Fair Value Gap (IFVG) methodology popularized by ICT concepts. It automatically detects bullish and bearish FVGs and IFVGs on your chart, plots them with customizable colors and mitigation levels, and provides real-time alerts for potential trading opportunities. Key features include: FVG & IFVG Detection: Automatically identifies demand (bullish) and supply (bearish) FVGs and their inversion counterparts. Mitigation Levels: Highlights key reaction zones using Proximal, 50% OB, or Distal levels to plan entry or exit strategies. Alert System: Sends alerts for FVG and IFVG mitigations with customizable frequency and time zone display. Break Triangles: Plots visual triangle markers when price breaks an FVG, validated with ATR thresholds for reliable signals. Customizable Visuals: Supports light and dark color themes and full control over displayed zones and colors. Advanced Filtering: Filters FVGs by width (Very Aggressive → Very Defensive) to reduce noise and focus on significant zones. Dynamic Lookback: Tracks the most recent FVGs and resets them after a defined lookback period to avoid multiple signals. This indicator is ideal for swing and intraday traders seeking precise zone-based entries, exits, and confirmations based on price imbalance logic.
مؤشر Pine Script®
من ‎Quantel_io‎
Session Liquidity & Sweep DetectorThe indicator is an advanced trading tool designed to give traders a complete visual and analytical overview of major market sessions. By tracking the Asia, London, and New York sessions, this indicator highlights session highs/lows, liquidity sweeps, and advanced A++ patterns to help identify high-probability trade setups. It combines session analysis, sweep detection, and pattern recognition into a single, customizable indicator. Traders can use it for spotting breakout points, reversal setups, and areas of stop hunts or liquidity grabs. Key Features: 1. Session Liquidity Boxes: Automatically draws boxes representing Asia, London, and NY trading sessions on the chart. Each session box is color-coded and fully customizable (colors, transparency, border width). Option to display only the most recent session box, reducing chart clutter. Helps traders visually separate trading sessions and understand session structure. 2. High/Low Sweep Detection: Detects when price sweeps the high or low of a completed session, indicating liquidity grabs or stop-hunting behavior. Labels are added to the chart for clear visualization: AHS: Asia High Swept ALS: Asia Low Swept LHS: London High Swept LLS: London Low Swept Horizontal lines are drawn at swept levels to track key support/resistance points. Sweep detection occurs only within the same trading day, preventing false signals. 3. A++ Pattern Detection: Detects advanced Long/Short A++ patterns based on session sweep behavior: Long A++ Pattern: Both Asia and London lows are swept, but highs remain intact. Short A++ Pattern: Both Asia and London highs are swept, but lows remain intact. Patterns are plotted with customizable labels to highlight potential high-probability setups. Helps traders identify early directional bias for the trading day. 4. Customizable Visual Settings: Box colors, sweep line colors, and label colors are fully customizable. Label sizes can be set to “auto”, “tiny”, “small”, “normal”, “large”, or “huge”. Sweep line width and box border width are adjustable. Clear visualization ensures traders can analyze sessions quickly and efficiently. 5. Multi-Session Tracking: Tracks Asia, London, and New York sessions independently. Keeps historical session data while dynamically updating the latest session in real-time. Allows traders to see inter-session liquidity interactions, which are key for breakout and reversal strategies. 6. Optimized for Real-Time Trading: Updates session highs/lows bar by bar during live trading. Works on any timeframe, making it suitable for scalping, intraday, and swing trading. Integrates seamlessly with other indicators like FU Candle Indicator, VWAP, Order Blocks, and more for advanced strategies. Use Cases: Liquidity Hunting: Spot where institutional traders may be triggering stop losses or grabbing liquidity. Breakout Analysis: Identify when price breaks through session highs/lows and confirm trade direction. Session Pattern Trading: Use A++ patterns to anticipate strong directional moves early in the trading day. Multi-Session Strategies: Analyze relationships between Asia, London, and NY sessions to find high-probability entries. Scalping & Day Trading: Visualize key levels for quick trade decisions. Ideal Users: Forex, crypto, and futures traders who want a session-based liquidity and sweep analysis. Traders who use high-probability patterns and breakout strategies. Scalpers, intraday traders, and swing traders looking for clear visual cues and actionable signals. Anyone seeking a comprehensive session overview for smarter trading decisions. This indicator essentially combines session boxes, liquidity sweep labels (AHS, ALS, LHS, LLS), horizontal lines for swept levels, and A++ pattern detection to give traders a full view of market structure, liquidity, and potential directional bias.
مؤشر Pine Script®
من ‎Quantel_io‎
Previous Day SweepThis indicator automatically detects and plots the highs and lows of previous trading days and tracks their breakouts in real-time. It allows traders to visualize key support and resistance levels from the last N days, highlighting breakouts with triangle markers. Key Features: Displays highs and lows of up to 20 previous days (configurable). Highlights breakouts above previous highs and below previous lows. Tracks breakouts for both the most recent day and older days. Previous day levels are plotted with customizable colors, transparency, and line width. Lines automatically extend until broken or until the current bar. Helps identify liquidity sweeps, trend shifts, and potential breakout points. Ideal For: Day traders, swing traders, and algorithmic traders looking to monitor key daily levels and breakout points.
مؤشر Pine Script®
من ‎Quantel_io‎
iFVGs & Breakout DetectorThis indicator by Quantel enhances the classic Fair Value Gap (FVG) and Inversion FVG concept with automated detection, visualization, and breakout tracking. Plots Bullish/Bearish FVGs and Inversion FVGs with customizable mitigation levels (Proximal, 50% OB, Distal). Applies an advanced filtering system (Aggressive → Very Defensive) to refine valid zones. Highlights potential trade opportunities when price decisively breaks an FVG boundary using ATR-based confirmation. Displays visual breakout triangles to mark bullish or bearish breakouts. Includes smart color themes (Light/Dark/Off) and full alert integration for automated trading or notifications. With its combination of institutional concepts and robust filtering, this tool helps traders identify high-probability supply/demand imbalances, monitor valid trading zones, and catch breakout confirmations in real time.
مؤشر Pine Script®
من ‎Quantel_io‎
Multi-Asset Trend Background [SwissAlgo]Multi-Asset Trend Background --------------------------------------------------------- Purpose This indicator colors the chart background green (uptrend) or red (downtrend) to show the broad phases of a selected asset or ratio (for example SP500, or Gold), regardless of the current ticker on the chart (for example BTC). The aim is not to generate signals, but to show when the selected asset (such as SP500 or Gold) was in a sustained uptrend or downtrend, so you can compare another chart (for example BTC) against that backdrop. It helps frame price action in context, highlighting how macro drivers often align with or diverge from other markets. From mid-2016 to late-2017, the SP500 was in a clear uptrend — Bitcoin rallied strongly in the same period, showing alignment between equities and crypto risk-taking. When Gold trended higher, the SP500 often weakened, reflecting their tendency to move inversely in longer cycles. As HYG/TLT turned down in early 2020, QQQ also struggled — illustrating how credit risk appetite is linked to equity performance. During periods of DXY strength, Gold frequently showed the opposite trend, consistent with the historical dollar–gold relationship. When RSP/SPY trended down, rallies in the S&P 500 were driven by a narrow group of large-cap stocks, while a rising ratio indicated broad market participation. --------------------------------------------------------- Why it May Help You Provides context for asset correlations. Helps identify whether a chart is moving with or against its macro environment. Useful for cycle mapping and historical study of market phases. Filters noise and emphasizes established trends rather than short swings. --------------------------------------------------------- How it Works You select an asset or ratio from a dropdown. The script calculates a mid-term moving average, then measures its slope, slope change, and slope acceleration to quantify the trend’s direction and consistency. A longer-term moving average filter defines whether the long-term backdrop is bullish or bearish. Background Coloring rules: Green = slope strongly positive in line with long-term uptrend, or downtrend showing constructive reversal signs. Red = slope strongly negative in line with long-term downtrend, or uptrend showing weakening slope. No shading = neutral or mixed conditions. This slope-based approach avoids the limitations of simple MA crosses, aiming to capture broad, consistent trend phases across different assets, with a mid/long-term view. --------------------------------------------------------- Assets You Can Select EQUITIES – good reference to gauge risk appetite in financial markets SP500 = broad benchmark. Uptrend = strength in US equities signalling risk-on conditions; downtrend = weakness, risk-off market phase. NASDAQ = tech and growth stocks. Uptrend = technology/growth leadership, risk appetite; downtrend = tech underperformance and fading risk appetite. DOW = industrial and value stocks. Uptrend = industrial/value strength/economic strength; downtrend = weakness in traditional sectors and potential economic downturn. RUSSELL2000 = small caps. Uptrend = typical in risk-on environments and FOMO; downtrend = small-cap underperformance, "flight to safety". COMMODITIES – proxies for inflation, industry, and safe-haven demand. GOLD = safe-haven. Uptrend = defensive demand rising/risk-off/inflation fears; downtrend = weaker demand for safety. SILVER = partly industrial, partly safe-haven. Uptrend = stronger industrial cycle, or precious metals demand and risk appetite. COPPER = industrial barometer. Uptrend = stronger industrial activity; downtrend = economic slowdown concerns. CRUDE OIL = energy prices. Uptrend = rising energy/inflation pressures; downtrend = weaker demand or supply relief. NATURAL GAS = volatile energy prices. Uptrend = higher energy costs and inflation pressure; downtrend = easing energy conditions. BONDS / FX – monetary policy, credit, and risk appetite signals. TLT = long-term US bonds. Uptrend = falling yields (bond demand)/flight to safety; downtrend = rising yields (risk on) HYG = high-yield credit. Uptrend = strong credit appetite; downtrend = risk aversion in credit markets. DXY = US dollar index. Uptrend = dollar strength (weaker EUR, GBP, SEK, etc); downtrend = dollar weakness. USDJPY = carry trade proxy. Uptrend = stronger USD vs JPY (risk appetite); downtrend = JPY strength (risk-off). CHFUSD = Swiss franc. Uptrend = franc strength (defensive flow); downtrend = franc weakness. YIELD INVERSION = US10Y–US02Y. Uptrend = curve steepening; downtrend = inversion deepening (higher recession risk). HOME BUILDERS = US housing sector. Uptrend = housing sector strength (risk on); downtrend = weakness (risk off). EURUSD = euro vs dollar. Uptrend = euro strength (risk appetite); downtrend = euro weakness (risk aversion). CRYPTO – digital asset benchmarks. BITCOIN = digital gold. Uptrend = BTC strength; downtrend = BTC weakness. CRYPTO_TOTAL = entire crypto market cap. Uptrend = broad crypto growth; downtrend = contraction. CRYPTO_ALTS = altcoin market cap. Uptrend = altcoin expansion (often “alt season”); downtrend = contraction. RATIOS – relative measures to extract macro signals. COPPER/BTC = compares industrial cycle vs Bitcoin cycle. Uptrend = copper outperforming BTC; downtrend = BTC outperforming copper. Seems aligned with BTC macro tops and bottoms in the mid/long run. RSP/SPY = market breadth (equal-weight vs cap-weighted). Uptrend = strong broad participation in market growth; downtrend = narrow leadership (fewer stocks leading the growth). PCE/CPI = Fed’s inflation measure (PCE) vs consumer perceived inflation (CPI). Uptrend = PCE rising faster than CPI; downtrend = CPI running hotter than PCE. Fluctuates around 1; values above 1 may indicate hawkish Fed stands, values < 1 may indicate more dovish Fed stands. HYG/TLT = credit vs bonds. Uptrend = risk appetite (high-yield outperforming long-term treasury bonds); downtrend = risk aversion. GOLD/SILVER = defensive vs cyclical metals. Uptrend = gold outperforming (risk-off tilt); downtrend = silver outperforming (risk-on tilt). EURUSD/BTC = fiat vs crypto. Uptrend = EUR strengthening vs BTC; downtrend = BTC strengthening vs EUR. In general, the BTC trend is aligned EUR/USD trend. --------------------------------------------------------- Limitations Trend detection may lag by design to reduce noise. Ratios rely on the availability and session rules of their components. Background colors update on bar close; intra-bar values may differ. Parameters are fixed and may not suit all assets equally. --------------------------------------------------------- Disclaimer This script is for educational and research purposes only. It does not provide financial advice or trade recommendations. Historical trend alignment does not guarantee future outcomes. Use with additional independent analysis.
مؤشر Pine Script®
من ‎SwissAlgo‎
Mykung's Financial Table (Revenue, EPS, Net margin)A compact fundamentals dashboard that displays the last **8 fiscal quarters** for the current symbol. It’s designed for clarity (minimal decimals) and flexible presentation, with a dynamic column layout and accurate quarter labels. ## What it shows **Columns (left → right):** `Quarter | Revenue | YoY % | QoQ % | EPS | YoY % | QoQ % | ` * **Quarter** — formatted as `YYYY Q#` (e.g., `2025 Q2`). Labels are derived from **fiscal period end dates** for accuracy. * **Revenue** — compact notation (K/M/B/T), **no decimals**. * **EPS** — uses **Diluted EPS** by default and falls back to **Basic EPS** if Diluted is unavailable. Displayed with **2 decimals**. * **Net Margin** — displayed with **1 decimal**. *Note:* Its YoY/QoQ columns represent **percentage-point** changes (absolute differences), not relative percent changes. * **YoY % and QoQ %** — shown as **integers** (no decimals). Positive values are colored green; negative values red. ## Key features * **Accurate quarter labels** from fundamentals (`FISCAL_PERIOD_END_DATE` → fallback `FINANCIAL_END_TIME`). * **Dynamic layout:** * Show all 10 columns (include Net Margin group), or * Hide Net Margin to render a **7-column** table automatically. * **Row order:** **Oldest at top → Latest at bottom** (chronological reading). * **Customization:** * Table position (nine presets: corners/centers). * Text size. * Table background color. * **Header colors** (text & background) — also applied to the **Quarter** column cells for visual grouping. * **Body text color** for data cells. ## Inputs (Settings) * **Table Position** — place the table anywhere on the chart. * **Text Size** — auto/tiny/small/normal/large/huge. * **Table Background** — overall table BG color. * **Header Background Color** — header & Quarter column background. * **Header Text Color** — header & Quarter column text color. * **Body Text Color** — data cells text color. * **Show Net Margin Group (Cols 7–9)** — toggle between 10-col or 7-col layout. ## Calculations * **QoQ %** = $(Current − Previous) / |Previous|$ × 100 * **YoY %** = $(Current − 4Q Ago) / |4Q Ago|$ × 100 * **Net Margin YoY / QoQ** = **difference in percentage points** (e.g., 12.4% → 10.9% = −1.5pp) ## Notes & limitations * Requires symbols with **quarterly fundamentals** on TradingView. If a field is unavailable, it shows **N/A**. * Fundamentals are updated by TradingView; values may refresh after earnings filings. * Works on any chart timeframe; data comes from **fundamentals**, not price bars. * Colors are indicative only and not investment advice. **Built for readability**: minimal decimals (EPS 2dp, Net Margin 1dp), integer percentages, and compact revenue formatting—so you can scan eight quarters at a glance.
مؤشر Pine Script®
من ‎mykung‎
Big Mo’s Glaskugel — Macro Drawdown Risk (v1.1.2)What it does / what you see An at-a-glance drawdown-risk oscillator that blends several macro US signals. • A smooth, color-blended line (green→orange→red) shows the scaled risk score (0–100). • Subtle shading marks “re-steepen warning windows” (starts when the yield curve re-steepens after an inversion; ends on normalization/cool-down). • A compact status table summarizes: overall risk level, Yield Curve (10y–3m), Credit Stress (Baa–10y), Economy (LEI), and Valuation (CAPE). Data used & why Yield Curve (10y–3m) — FRED:T10Y3M. Inversions and subsequent re-steepens often precede recessions/equity drawdowns. Credit Stress — FRED:BAA10Y vs its 1-year average (deviation in bps). Widening credit spreads flag tightening financial conditions. Economy (LEI) — ECONOMICS:USLEI. 6-month annualized growth below a cutoff highlights macro deterioration. Valuation (CAPE) — SHILLER_PE_RATIO_MONTH. Elevated valuations can amplify downside risk. VIX spikes — optional boost that recognizes sudden risk repricings. Important disclaimer This is not a reliable or predictive indicator in all regimes. No guarantees or warranties of any kind are provided. It is not financial advice. Signals can be early, late, or wrong. That said, it leans on well-studied warning factors (yield-curve dynamics, credit spreads, LEI weakness, valuation extremes) that have flagged major market downturns in the past. Key customization / tweaks Weights for each component (Yield, Credit, LEI, VIX, CAPE). Thresholds: yield inversion months, re-steepen lookback, credit-stress bps, LEI cutoff, CAPE level, VIX spike levels. Re-steepen boost: enable/disable, base points, half-life decay. Shading behavior: cool-down bars to “unwarn,” max warning duration, only shade when risk ≠ green. Scaling & smoothing: dynamic rolling max, EMA length, yellow/red thresholds. Status table: position, and a snapshot mode to view values at a chosen historical time.
مؤشر Pine Script®
من ‎BigMo_GQ‎
Crypto Flows [ETF|On-chain]The surge in Bitcoin and Ethereum spot ETFs has transformed how crypto is held and traded. By mid‑2025, U.S. spot Bitcoin ETFs already controlled roughly 1.28 million BTC, or about 6.5 percent of the circulating supply (Fosque, 2025). This accumulation has coincided with sharp price rallies and signals that regulated vehicles are absorbing a meaningful share of supply (Fosque, 2025; Wright, 2025). At the same time, on‑chain analytics show that exchange flows still influence markets: large inflows to exchanges often precede sell‑offs, whereas withdrawals to private wallets signal accumulation and reduced sell pressure (Singh, 2024; CryptoQuant, 2024). IntoTheBlock’s large‑holder inflow indicator even notes that spikes in whale buying frequently mark major bottoms (IntoTheBlock, 2022). I wanted to weave these pieces together, so I created this indicator. Essence and logic The script draws from two data streams: net flows into ETFs and net on‑chain flows from large holders, both scaled by the asset’s circulating market cap. ETF flows are aggregated across the ten largest INDEX:BTCUSD Bitcoin ETFs, the ten largest Ethereum INDEX:ETHUSD ETFs and the first CRYPTOCAP:SOL Solana ETF; each fund has its own checkbox and colour selection. On‑chain data uses IntoTheBlock’s large‑holder inflows and outflows, with dozens of coins available( CRYPTO:XRPUSD CRYPTOCAP:AVAX CRYPTOCAP:ADA CRYPTOCAP:LINK CRYPTO:DOGEUSD CRYPTOCAP:OTHERS ; if your coin isn’t shown in the dropdown you can manually enter its symbol. For each component, daily flows are converted into either a Z‑score or, by default, a percent‑of‑market‑cap series; users choose the weighting between ETF and on‑chain signals. These weighted series are summed into a composite, smoothed, and then two moving averages (a fast and a slow one) are applied to define bullish or bearish regimes. Because ETFs are a recent phenomenon, the early part of the composite is dominated by on‑chain flows; as ETF history lengthens, the fund‑flow component will become more influential. Trade signals are generated via moving‑average crossovers and optional dip triggers, and a trend table summarises current values and directions. Why these components? ETF flows reflect institutional adoption and supply absorption. Funds such as IBIT already hold about 744 000 BTC (roughly 3.3 percent of total supply), and cumulative ETF holdings have been growing faster than new coins are mined (Wright, 2025). Net inflows into these vehicles have tended to accompany rising prices and signal long‑horizon capital (Fosque, 2025). On‑chain flows, meanwhile, capture exchange liquidity dynamics. High inflows to exchanges often indicate that investors are preparing to sell, increasing tradable supply (Singh, 2024; CryptoQuant, 2024). Outflows into self‑custody suggest accumulation and reduced sell pressure, providing a bullish signal (Singh, 2024; CryptoQuant, 2024). IntoTheBlock points out that spikes in large‑holder inflows—whales moving coins into cold storage—have historically preceded price bottoms (IntoTheBlock, 2022). By weighting and standardising these flows relative to market cap, the composite aims to offer a more objective lens on risk‑on versus risk‑off regimes than price alone. Limitations and outlook ETFs a pretty new, so the data history is short. The list of tracked funds is currently limited to U.S. and European products; adding Asian or Canadian vehicles could provide a fuller picture. On‑chain flows can be noisy and occasionally give conflicting signals, and large‑holder data is not available for every crypto asset. The ETF and on‑chain components are also correlated through market cap, so equal weighting may amplify common trends. As macro conditions evolve and ETF redemption mechanisms change, the usefulness of fund flows could vary. I see this indicator as one tool among many, and I’m considering adding stablecoin flows, derivatives funding rates, or halving‑cycle adjustments. Suggestions are welcome. Personal note I’m a student who enjoys exploring the intersection of macro flows, on‑chain analytics and market psychology. This script is free to use. You can enable or disable each component, adjust weights, change the display mode and lookback, and select individual ETF tickers. If it brings you value, feel free to follow my work or reach out with feedback. I appreciate your support. Please remember that this indicator is for educational purposes and not investment advice. I built this indicator in addition to my Liquidity indicator, where I use Global M2, the yield curve, and the high-yield spread to define risk-on/risk-off regimes. If you are interested, you can find it here: References CryptoQuant Team. (2024). Exchange in/outflow and netflow user guide. Fosque, J. (2025). Bitcoin ETFs pull $17.8 billion in 90 days as price surges past $118 K. The Digital Chamber. IntoTheBlock. (2022). Large holders inflow indicator description. Singh, O. (2024). Crypto exchange inflows and outflows explained: What they reveal about market trends. CCN. Wright, L. (2025). Bitcoin ETFs to lock up 1.5 million BTC by New Year as supply squeeze tightens grip. CryptoSlate.
مؤشر Pine Script®
من ‎Robinhodl21‎
The Debasement IndexOVERVIEW The Debasement Index measures asset prices relative to monetary debasement, providing a currency-neutral view of underlying economic fundamentals. Unlike traditional inflation metrics, it captures the sole impact of money supply expansion on asset valuations across different monetary regimes. Key Innovation: Divides any asset by the ratio of Broad Money Supply (M2/M3) to Real GDP, reducing the impact of excess money creation on asset prices. HOW IT WORKS • Input 1: Select any symbol/asset for analysis (default: close price) • Region: Choose country/currency for debasement calculation • Display: Purple line overlay on main chart Formula: Asset Price ÷ Debasement Index i.e. Formula: Asset Price ÷ (Money Supply / Real Output / last result (to rebased the index)) The indicator calculates neutralised security prices for each supported region: • Numerator: M2/M3 money supply data • Denominator: Real GDP (inflation-adjusted economic output) • Number: rebases the index to the last updated value of the selected security Supported Regions: US, UK etc. (regions may change based on availability) DATA SOURCES FRED (Federal Reserve Economic Data), TradingView Economics data feeds INTERPRETATION Rising Ratio: Asset outperforming monetary debasement (genuine value creation) Falling Ratio: Asset underperforming relative to currency dilution (fundamental value loss) Trend Analysis: Long-term slopes reveal whether assets maintain purchasing power against monetary expansion The purple line represents the performance of the selected security after filtering out monetary noise, exposing fundamental economic trends that raw prices often obscure. Take special note that most indices do not provide the total return, and the total return is necessary to understand actual value gains and losses. APPLICATIONS • Asset Allocation: Compare real returns across different monetary environments • Cross-Country Analysis: Evaluate assets in countries with varying monetary policies • Regime Identification: Spot asset price transitions that raw price measurements might obfuscate • Value Assessment: Distinguish between monetary-driven and fundamental price movements THEORETICAL FOUNDATION Inspired by Anna Schwartz's monetary framework, the index attempts to measure currency dilution and remove that impact on the selected asset prices. It is a systematic attempt to filter out ‘monetary noise’ from financial data. The index addresses limitations of traditional inflation measures by: 1. Using real GDP (not nominal) to avoid circular causation of money creation 2. Capturing asset price effects beyond goods and services 3. Providing regime-aware analysis across monetary systems LIMITATIONS • Requires reliable M2/M3 and GDP data (scope and quality vary by country) • Rebasing factors need periodic adjustment • Most effective for medium to long-term analysis • Not suitable for short-term trading signals Note: This indicator reveals trends rather than providing entry/exit signals. Combining debasement-adjusted indices with comprehensive fundamental analysis can reframe and enhance your insights, providing a more complete understanding of price developments over time.
مؤشر Pine Script®
من ‎VinceBuhler‎
NQ–2Y CorrelationThis indicator tracks the relationship between the Nasdaq futures (NQ) and the US 2-Year Treasury yield (US02Y). The two typically move in opposite directions. This tool highlights when that relationship breaks down, and when moves become stretched to extremes. This can be useful for traders to find inflection points in price representing either overbought or oversold extremes. Key Features Residual Z-Score: Shows how far NQ’s returns deviate from what would be expected given moves in the 2Y. Useful for spotting stretched conditions (+/- 2σ bands). Correlation Tracking: Fast and slow correlations between NQ and inverted 2Y returns. Helps identify regime shifts in the relationship. Same-Direction Signals: Green dots mark when NQ and 2Y both move strongly in the same direction (rare alignment). Red dots mark strong opposing moves. Alerts: Triggers available for residual stretches, correlation flips, and significant same-direction or opposite moves. Usage Monitor Z-Score to identify when the equity–rates linkage is stretched beyond typical bounds. I typically use this on the H1 or H4 timeframe. Watch for correlation regime shifts to spot changing market dynamics. Typically price falling into support or moving into resistance as there is a false correlation or a flip. Same-direction dots help flag unusual synchronized moves between risk assets and yields - these are especially useful for identifying false moves.
مؤشر Pine Script®
من ‎dcoul002‎
FX 2Y Spread AutoWhat it does Plots the 2-year government bond yield spread for the current FX pair and timeframe you’re viewing. Spread = Yield(Base currency) − Yield(Quote currency), shown in percentage points (pp). How it works Display & own scale If you overlay it on price, pin the indicator to its own scale so it doesn’t flatten against the FX price scale. Where to find it: Hover the indicator’s label, click More (⋯) → Pin to scale → choose Left or Right. Automatically maps each currency to its 2Y benchmark: USD→US02Y, EUR→DE02Y, CAD→CA02Y, CHF→CH02Y, GBP→GB02Y, AUD→AU02Y, NZD→NZ02Y, JPY→JP02Y (EUR is represented by Germany’s 2Y Schatz: DE02Y.) Pulls yields from TVC: symbols (e.g., TVC:US02Y, TVC:DE02Y) using the chart’s timeframe. Many yield series are daily; on intraday charts the script forward-fills the last daily value so you always see a continuous line. Interpretation (rule of thumb) Spread ↑ (Base yields rising relative to Quote) → supports pair up (base currency appreciation). Spread ↓ → supports pair down. Short-end spreads (2Y) mainly reflect policy expectations; price can still diverge short-term due to risk sentiment, commodities (e.g., oil for CAD), positioning, or different maturities driving the move. Examples EURUSD → DE02Y − US02Y USDJPY → US02Y − JP02Y EURCAD → DE02Y − CA02Y ⚠️ Disclaimer This indicator is for informational and analytical purposes only. It does not constitute financial advice, a trading signal, or a guarantee of future performance. Always perform your own research and consult with a qualified financial advisor before making trading decisions.
مؤشر Pine Script®
من ‎MacroXTrader‎
Beta Zones [MMT]Beta Zones Overview The Beta Zones indicator is a multi-timeframe analysis tool designed to identify and visualize price ranges (zones) across different timeframes on a TradingView chart. It draws boxes to represent high and low price levels for each enabled timeframe, helping traders spot key support and resistance zones, track price movements, and assess market signals relative to these zones. The indicator is highly customizable, allowing users to toggle timeframes, adjust colors, and control historical visibility. Features Multi-Timeframe Support : Tracks up to five user-defined timeframes (default: 15m, 1H, 4H, 1D, 1W) to display price zones. Dynamic Price Boxes : Draws boxes on the chart to represent the high and low prices for each timeframe, updating dynamically as new bars form. Signal Indicators : Provides directional signals (▲, ▼, →) based on the previous close relative to the current box's top and bottom. Customizable Display : Includes options to show or hide historical boxes, adjust box colors, and configure a summary table. Summary Table : Displays a table with timeframe status, price range, and signal information for quick reference. Settings Timeframes Enable/Disable : Toggle each timeframe (e.g., 15m, 1H, 4H, 1D, 1W) to display or hide its respective zones. Timeframe Selection : Choose custom timeframes for each of the five slots. Color Customization : Set unique fill and border colors for each timeframe's boxes (default colors: green, blue, orange, purple, red). Display Max Historical Boxes : Limit the number of historical boxes per timeframe (default: 1, max: 50). Show History : Toggle visibility of historical boxes (default: false, showing only the latest box). Min Box Height : Ensures boxes have a minimum height in ticks (default: 1.0, currently hardcoded). Table Show Table : Enable or disable the summary table (default: true). Background Color : Customize the table's background color. Header Color : Set the color for the table's header row. Text Color : Adjust the text color for table content. Table Columns Timeframe : Displays the selected timeframe (e.g., 15m, 1H). Color : Shows the color associated with the timeframe's boxes. Status : Indicates if the timeframe is "Active" (valid and lower than the chart's timeframe), "Invalid" (enabled but not lower), or "Disabled". Range : Shows the price range (high - low) of the current box. Signal : Displays ▲ (price above box), ▼ (price below box), or → (price within box) based on the previous close. How to Use Add to Chart : Apply the indicator to your TradingView chart. Configure Timeframes : Enable desired timeframes and adjust their settings (e.g., 15m, 1H) to match your trading strategy. Analyze Zones : Use the boxes to identify key price levels for support, resistance, or breakout opportunities. Monitor Signals : Check the table's "Signal" column to gauge price direction relative to each timeframe's zone. Customize Appearance : Adjust colors and historical box visibility to suit your preferences. Ideal For Swing Traders : Identify key price zones across multiple timeframes for entry/exit points. Day Traders : Monitor short-term price movements relative to higher timeframe zones. Technical Analysts : Combine with other indicators to confirm support/resistance levels.
مؤشر Pine Script®
من ‎isthattyler‎
2
Macro Pulse Dashboard [SwissAlgo]Macro Pulse Dashboard What is it? The Macro Pulse Dashboard is a multi-asset performance dashboard designed to give traders and investors a quick snapshot of global market conditions. The indicator tracks price and momentum across crypto, equities, sectors, commodities, bonds, and macro indicators—considering multiple timeframes—in one color-coded table with a trend indication for each asset. Purpose Give you a fast, single-glance read of global markets so you can gauge whether conditions are broadly risk-on or risk-off and where strength/weakness clusters across markets. Who it’s for Traders and investors who want a clear, beginner-friendly macro overview to frame ideas and risk, without digging through multiple charts. Why this may help you Gives context fast : before focusing on one chart, you see the broader environment. This can help avoid trades that fight the macro tide. Reduces noise : instead of jumping between watchlists and windows, you get a single, consistent view each day. Improves decision quality : aligning ideas with the table’s short-term and medium-term bias can assist with timing and position sizing. Builds routine : spend 30 seconds at the open scanning for agreement or conflict across crypto, equities, sectors, commodities, bonds, and macro gauges. If signals are mixed, consider waiting or sizing down; if they align, proceed with your plan. Beginner-friendly : clear green/red percentages and a simple Trend icon make it easy to interpret without advanced indicators. The trend is determined using a simplified rule in this version. What’s included Crypto (BTC/ETH, dominance, total/alt caps), equity indices (US futures, Europe 50, FTSE, HSI, Nikkei, Nifty), US sectors (XLK, SOXX, ARKK, XLY, XLV), commodities (Gold, Silver, WTI, Nat Gas), bonds/credit ETFs (SHY, IEF, TLT, LQD, HYG, AGG, EMB), and macro gauges (US10Y, DXY, EURUSD, VIX). Columns Price/Value, % change over 1D, 1W, 2W, 1M, YTD, plus a simple trend glyph (▲ up, ▼ down, ◆ mixed). Trend logic The Trend icon is a simple overview (not a signal): ▲ if both short-term (1W) and 1M changes are positive, ▼ if both are negative, ◆ otherwise. How numbers are computed All changes use the last completed daily close. 1D = change since the prior daily close. 1W/2W/1M: crypto uses 7/14/30 calendar days; other assets use 5/10/21 trading sessions. YTD compares to the first daily close of the year. Prices show a $ prefix where applicable and are compacted (M/B/T). Repainting The table uses daily data with lookahead_off and updates only after the daily bar completes. It does not repaint intrabar. Settings Anchor (top-left) and Table Size (Small/Normal/Large). Notes Informational/educational tool only. Not trading advice. No buy/sell signals or alerts are generated. Symbols depend on TradingView data availability; if a symbol isn’t accessible on your plan, that row will show “—”.
مؤشر Pine Script®
من ‎SwissAlgo‎
RS Stock + Chart Pattern Pine ScreenerThis script is a comprehensive stock screener & pattern detector based on Mark Minervini’s Trend Template, enhanced with breakout detection, range tightening indicator (RTI), ATH tracking, and flag pattern recognition. It’s designed to help traders quickly identify high-potential trend setups on any timeframe. 🔑 Features ✅ Minervini Trend Template (8 Core Rules) Implements the well-known Minervini checklist used by top momentum traders: Price above the 150 & 200 SMA 150 SMA above 200 SMA 200 SMA trending up for at least 1 month 50 SMA above both 150 & 200 SMA Price above 50 SMA Price at least 25% above 52-week low≈ Price within 25% of 52-week high RS Rating (relative strength) above 70 📉 Range Tightening Indicator (RTI) Detects volatility contractions that often precede explosive moves. 📈 Breakout & Breakdown Finder Detects pivot breakouts and breakdowns using highs/lows tests. 🏆 All-Time High Tracker Find the stock’s all-time high (ATH). 🚩 Bull & Bear Flag Detection Identifies bullish and bearish flag patterns based on pole strength, pullback depth, and consolidation length. Automatically find the flags on your screener.
مؤشر Pine Script®
من ‎LOALEX‎
Economic Profit (Fixed & Labeled) — Rated + PeersFRAC (Fundamental-Rated-Asset-Calculate) FRAC is a fundamentals-driven tool designed to measure whether a company is creating or destroying shareholder value. Unlike surface ratios, FRAC uses Economic Profit (ROIC – WACC) as its engine, showing whether a business truly outperforms its cost of capital. 🔹 What FRAC Does Calculates ROIC (Return on Invested Capital) vs. WACC (Weighted Average Cost of Capital). Shows whether a company is creating or destroying shareholder value. Uses tiered color coding for clarity: 🔵 Superior (Aqua Blue) → Top tier; best of the best. 🟣 Elite (Purple) → Strong value creation. 🟢 Positive (Green) → Solid, creating shareholder value. 🟡 Marginal (Yellow) → Barely covering cost of capital. 🔴 Negative (Red) → Value destruction. 🔹 Composite Ranking System (1–4) FRAC also assigns each company a Composite Rank so you can compare multiple names side by side. The rank works like this: Rank 1 → Superior (🔵 Aqua Blue) Best possible rating; wide gap between ROIC and WACC. Rank 2 → Elite (🟣 Purple) Strongly positive; above-average capital efficiency. Rank 3 → Positive (🟢 Green) Creating value but only moderately; not a top compounder. Rank 4 → Marginal/Negative (🟡/🔴) Weak or destructive; either barely covering WACC or losing money on capital. ✅ How to Use the Ranks When comparing a set of peers (e.g., NVDA, AMD, INTC): FRAC will display each company’s color rating + composite rank (1–4). You can instantly see who is strongest vs. weakest in the group. Best decisions = overweight Rank 1 & 2 companies, avoid Rank 4 names. 🔹 Key Inputs Explained Risk-Free Asset → Typically the 10-Year US Treasury yield (US10Y). Corporate Tax Rate → Effective tax rate for the company’s country (e.g., USCTR). Expected Market Return → Historical average ~8–10%, adjustable. Beta Lookback Period → Controls how far back Beta is calculated (longer = more stable, shorter = more reactive). 👉 These must be set correctly for FRAC to calculate WACC accurately. 🔹 Example Comparison NVDA: ROIC 25% – WACC 7% = +18% → 🔵 Superior → Rank 1 AMD: ROIC 17% – WACC 8% = +9% → 🟣 Elite → Rank 2 INTC: ROIC 11% – WACC 9% = +2% → 🟢 Positive → Rank 3 FSLY: ROIC 5% – WACC 10% = –5% → 🔴 Negative → Rank 4 🔹 Why It Matters Buffett said: “The best businesses are those that can consistently generate returns on capital above their cost of capital.” FRAC turns that into a visual + numeric rating system (1–4), making comparisons across peers simple and actionable. 🔹 Credit FRAC was created by Hunter Hammond (Elite x FineFir), inspired by corporate finance models of Economic Profit and Economic Value Added (EVA). ⚠️ Disclaimer: FRAC is a research framework, not financial advice. Always pair with full due diligence.
مؤشر Pine Script®
من ‎ElitexFineFir‎
Tradix COT IndexThe Commitment of Traders (COT) Report is one of the most reliable tools for uncovering the true positioning of major market participants. The Tradix COT Report Index transforms complex CFTC data into a clear and actionable visual overview, showing you how the three key groups behave: Commercials (Hedgers) – companies managing long-term risk exposure. Large Speculators – funds and institutional traders driving market trends. Retail / Small Speculators – individual traders often positioned against the market.
مؤشر Pine Script®
من ‎DanyBe‎