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Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens. It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility. How it works • Premium (%) = (Perp – Spot) ÷ Spot × 100 The script fetches both spot and perpetual prices and calculates their percentage difference each minute. • Rolling Mean & Z-Score Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is. • Dynamic ±2σ Bands highlight statistically extreme premiums or discounts. • Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows. Colour & Label Interpretation Visual cue Meaning Trading Implication 🟢 Green bars + “BULL Pressure” Premium rising faster than mean Leverage inflows → momentum strengthening 🔴 Red bars + “BEAR Pressure” Premium shrinking Leverage unwind → pull-back or consolidation ⚠️ Orange “EXTREME Premium/Discount” Crowded trade → heightened reversal risk ⚪ Grey bars Neutral Balanced conditions Alerts • Bull Pressure Alert → funding & premium rising (momentum building) • Bear Pressure Alert → premium falling (deleveraging) • Extreme Premium Alert → crowded longs; potential top • Extreme Discount Alert → capitulation; possible bottom Use case Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules: • Enter only when your oscillators are low → curling up and Bull Pressure triggers. • Trim or exit when Bear Pressure or Extreme Premium appears. • Watch for Extreme Discount during flushes as an early bottoming clue.
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TokenTrendTracker tarafından
Livelli OI-PNCOI-PNC Levels is a script that displays the open interest (OI) and net short positions (PNC) of a selection of 20 of the most significant stocks in terms of traded value on the Italian market. PNC are indicated by red dotted lines starting from the close of the last reported change date; The most significant open interest by number of contracts (Top 10 Calls and Top 10 Puts) are displayed using labels, all on a single line (Strike, CALL, PUT); A summary table can be activated. the data is hardcoded using static arrays and must be updated periodically. Data updated of 03/11/2025 ########### Italiano ############ Livelli OI-PNC è uno script che permette di visualizzare gli open interest (OI) e le Posizioni Nette Corte (PNC) di una selezione di 20 titoli tra i più significativi per controvalore movimentato del mercato italiano. Le PNC vengono indicate tramite Linee tratteggiate rosse che partono dal close della data di ultima variazione comunicata; Sono riportati tramite labels, gli Open Interest più significativi per num.Contratti (Top 10 Call e top 10 Put) tutto su una unica riga per ogni strike (Strike, CALL, PUT); E' attivabile una Tabella di riepilogo. Poiché Pine Script non può leggere direttamente file da URL esterni, i dati sono hardcorati tramite array statici e vanno aggiornati periodicamente. Dati aggiornati al 03/11/2025
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Peiorg tarafından
OmniTraderOmniTrader — What It Does A pragmatic intraday toolkit that keeps your chart readable while surfacing the levels traders actually use: EMAs across timeframes, VWAP, yesterday’s high/low, Asian/London/NY session ranges, and a configurable Opening Range Breakout (ORB). Multi-Timeframe EMAs (EMA 1 & 2) — Pick any TF per EMA (e.g., 5m EMA on a 1m chart). VWAP — Toggle on/off for quick mean/flow context. Session High/Low (live → frozen) Tracks Asian / London / New York in your chart/exchange timezone. Rays auto-extend; labels optional. Previous Day High/Low — Daily levels with optional labels; auto-resets each new day. Opening Range Breakout (ORB) Choose session (NY/London/Asian) and 15m or 30m window. Levels update live during the window, then lock. Separate colors for ORB High & ORB Low + labels. Style & Clarity Controls — Per-group color pickers, line width/style, label size & visibility. Designed to minimize clutter while keeping essentials visible.
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hankthuhtank tarafından
Buy on Blue, Sell on Red (EMA + optional RSI) TyusEThis indicator is a trend-following system that helps traders identify potential buy and sell opportunities using a combination of EMA crossovers and an optional RSI filter for confirmation. It plots: 🔵 Blue dots (BUY signals) when the fast EMA crosses above the slow EMA — signaling bullish momentum. 🔴 Red dots (SELL signals) when the fast EMA crosses below the slow EMA — signaling bearish momentum. You can optionally filter these signals using the RSI (Relative Strength Index) to avoid false breakouts — for example, only taking BUY signals when RSI is above 55 (showing strength) and SELL signals when RSI is below 45 (showing weakness). ⚙️ Features Adjustable Fast EMA and Slow EMA lengths Optional RSI confirmation filter Customizable RSI thresholds for entries “Confirm on bar close” setting to reduce repainting Built-in alert conditions for real-time notifications 💡 How to Use Use blue dots as potential long entries and red dots as potential short entries. Confirm direction with overall trend, structure, or higher timeframe alignment. Combine with support/resistance, volume, or price action for best results. ⚠️ Note This is a technical tool, not financial advice. Always backtest and use proper risk management before trading live markets. T.E
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Tyusearly1995 tarafından
Volume Area 80 Rule Pro - Adaptive RTHSummary in one paragraph Adaptive value area 80 percent rule for index futures large cap equities liquid crypto and major FX on intraday timeframes. It focuses activity only when multiple context gates align. It is original because the classic prior day value area traverse is fused with a daily regime classifier that remaps the operating parameters in real time. Scope and intent • Markets. ES NQ SPY QQQ large cap equities BTC ETH major FX pairs and other liquid RTH instruments • Timeframes. One minute to one hour with daily regime context • Default demo used in the publication. ES1 on five minutes • Purpose. Trade only the balanced days where the 80 percent traverse has edge while standing aside or tightening rules during trend or shock Originality and usefulness • Unique fusion. Prior day value area logic plus a rolling daily regime classifier using percentile ranks of realized volatility and ADX. The regime remaps hold time end of window stop buffer and value area coverage on each session • Failure mode addressed. False starts during strong trend or shock sessions and weak traverses during quiet grind • Testability. All gates are visible in Inputs and debug flags can be plotted so users can verify why a suggestion appears • Portable yardstick. The regime uses ATR divided by close and ADX percent ranks which behave consistently across symbols Method overview in plain language The script builds the prior session profile during regular trading hours. At the first regular bar it freezes yesterday value area low value area high and point of control. It then evaluates the current session open location the first thirty minute volume rank the open gap rank and an opening drive test. In parallel a daily series classifies context into Calm Balance Trend or Shock from rolling percentile ranks of realized volatility and ADX. The classifier scales the rules. Calm uses longer holds and a slightly wider value area. Trend and Shock shorten the window reduce holds and enlarge stop buffers. Base measures • Range basis. True Range smoothed over a configurable length on both the daily and intraday series • Return basis. Not required. ATR over close is the unit for regime strength Components • Prior Value Area Engine. Builds yesterday value area low value area high and point of control from a binned volume profile with automatic TPO fallback and minimum integrity guards • Opening Location. Detects whether the session opens above the prior value area or below it • Inside Hold Counter. Counts consecutive bars that hold inside the value area after a re entry • Volume Gate. Percentile of the first thirty minutes volume over a rolling sample • Gap Gate. Percentile rank of the regular session open gap over a rolling sample • Drive Gate. Opening drive check using a multiple of intraday ATR • Regime Classifier. Percentile ranks of daily ATR over close and daily ADX classify Calm Balance Trend Shock and remap parameters • Session windows optional. Windows follow the chart exchange time Fusion rule Minimum satisfied gates approach. A re entry must hold inside the value area for a regime scaled number of bars while the volume gap and drive gates allow the setup. The regime simultaneously scales value area coverage end minute time stop and stop buffer. Signal rule • Long suggestion appears when price opens below yesterday value area then re enters and holds for the required bars while all gates allow the setup • Short suggestion appears when price opens above yesterday value area then re enters and holds for the required bars while all gates allow the setup • WAIT shows implicitly when any required gate is missing • Exit labels mark target touch stop touch or a time based close Inputs with guidance Setup • Signal timeframe. Uses the chart by default • Session windows optional. Start and end minutes inside regular trading hours • Invert direction is not used. The logic is symmetric Logic • Hold bars inside value area. Typical range 3 to 12. Raising it reduces trades and favors better traverses. Lowering it increases frequency and risk of false starts • Earliest minute since RTH open and Latest minute since RTH open. Typical range 0 to 390. Reducing the latest minute cuts late session trades • Time stop bars after entry. Typical range 6 to 30. Larger values give setups more room Filters • Value area coverage. Typical range 0.70 to 0.85. Higher coverage narrows the traverse but accepts fewer days • Bin size in ticks. Typical range 1 to 8. Larger bins stabilize noisy profiles • Stop buffer ticks beyond edge. Typical range 2 to 20. Larger buffers survive noise • First thirty minute volume percentile. Typical range 0.30 to 0.70. Higher values require more active opens • Gap filter percentile. Typical range 0.70 to 0.95. Lower values block more gap days • Opening drive multiple and bars. Higher multiple or longer bars block strong directional opens Adaptivity • Lookback days for regime ranks. Typical 150 to 500 • Calm RV percentile. Typical 25 to 45 • Trend ADX percentile. Typical 55 to 75 • Shock RV percentile. Typical 75 to 90 • End minute ratio in Trend and Shock. Typical 0.5 to 0.8 • Hold and Time stop scales per regime. Use values near one to keep behavior close to static settings Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Sessions use the chart exchange time Honest limitations and failure modes • Economic releases and thin liquidity can break the balance premise • Gap heavy symbols may work better with stronger gap filters and a True Range focus • Very quiet regimes reduce signal contrast. Consider longer windows or higher thresholds Legal Education and research only. Not investment advice. Test in simulation before any live use.
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exlux tarafından
Simulated Fear & Greed (CNN-calibrated v2)🧭 Fear & Greed Index — TradingView Version (Simulated CNN Model) 🔍 Purpose The Fear & Greed Index is a sentiment indicator that quantifies market emotion on a scale from 0 to 100, where: 0 represents Extreme Fear (capitulation, oversold conditions), and 100 represents Extreme Greed (euphoria, overbought conditions). It helps traders assess whether the market is driven by fear (risk aversion) or greed (risk appetite) — giving a high-level view of potential turning points in market sentiment. ⚙️ How It Works in TradingView Because TradingView cannot directly access CNN’s or alternative external sentiment feeds, this indicator simulates the Fear & Greed Index by analyzing in-chart technical data that reflect investor psychology. It uses a multi-factor model, converting price and volume signals into a composite sentiment score. 🧩 Components Used (Simulated Metrics) Category Metric Emotional Interpretation Volatility ATR (Average True Range) High ATR = Fear, Low ATR = Greed Momentum RSI + MACD Histogram Rising momentum = Greed, Falling = Fear Volume Activity Volume Z-Score High positive deviation = Greed, Low = Fear Trend Context SMA Regime Bias (50/200) Downtrend adds Fear penalty, Uptrend supports Greed These elements are normalized into a 0–100 scale using percentile ranks (like statistical scoring) and then combined using user-adjustable weights. ⚖️ CNN-Style Calibration The script follows CNN’s five sentiment bands for clarity: Range Zone Colour Description 0–25 Extreme Fear 🔴 Red Panic, forced selling, capitulation risk 25–45 Fear 🟠 Orange Uncertainty, hesitation, early accumulation phase 45–55 Neutral ⚪ Gray Balanced sentiment, indecision 55–75 Greed 🟢 Light Green Optimism, trend continuation 75–100 Extreme Greed 💚 Bright Green Euphoria, risk of reversal This structure aligns visually with CNN’s public gauge, making it easy to interpret.
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thriftyLion65492 tarafından
NQ YM Correlogram Meter TypeOverview This indicator provides a real-time, visual "meter" of the correlation between the Nasdaq 100 (NQ) and the Dow Jones (YM) futures. It is designed as a clean, non-intrusive dashboard panel that displays only the current correlation value, making it an ideal companion for pairs traders who need to see the live relationship at a glance. Unlike a traditional oscillator that plots historical data, this tool focuses exclusively on the "right now" to aid in immediate trade decisions. Key Features Real-Time Correlation Meter: A single vertical bar displays the current correlation, visually mapping the -1.0 to +1.0 range. Clear Visual Cues: The bar's color gradient (from red for negative correlation to green for positive correlation) and fill level provide an instant understanding of the market relationship. Precise Value Display: The exact numerical correlation (e.g., 0.85 or -0.50) is shown clearly at the bottom of the meter. Contextual Y-Axis: Static labels (+1.0, +0.5, 0.0, -0.5) provide quick reference points for the meter's reading. Dashboard Panel: Renders cleanly as an overlay table on the right side of your chart, saving screen real estate. How to Use This indicator is best used as a confirmation tool alongside a primary pairs trading strategy or a historical correlation oscillator. High Green Bar (near +1.0): Indicates a strong positive correlation. NQ and YM are moving in sync. Bar near 0.0: Indicates little to no linear relationship. Low Red Bar (near -1.0): Indicates a strong negative (inverse) correlation. NQ and YM are moving in opposite directions. For a pairs trader, this meter provides an instant check to confirm if the two assets are in their expected state of correlation at the moment of execution. Settings & Customization Correlation Period: Set the lookback length for the correlation calculation. Symbols: Fully customizable, though it defaults to YM1! and NQ1!. Panel Appearance: Adjust the Table Size (Small/Large) and Chart Theme (Light/Dark). Text Size: Independently control the font size for the numerical Value Text and the Y-Axis Labels to perfectly fit your display.
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coldFish52 tarafından
NQ YM Correlation 1 min dataOverview This indicator plots the correlation between Nasdaq 100 (NQ) and Dow Jones (YM) futures. It is specifically designed to act as an "Engine RPM" gauge for pairs traders who trade divergence or spread breakouts—not mean reversion. To ensure consistent readings, this indicator always calculates using a 1-minute timeframe data, regardless of the chart timeframe you are currently viewing. The core idea is: High Correlation (Blue Zone): "Low RPM" or "Engine Idle." NQ and YM are moving together. The spread is flat. This is a no-trade zone. Low Correlation (Red Zone): "High RPM" or "Engine Hot." NQ and YM are diverging. The spread is moving. This is the primary trade zone.
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coldFish52 tarafından
Dual Harmonic-based AHR DCA (Default :BTC-ETH)A panel indicator designed for dual-asset BTC/ETH DCA (Dollar Cost Averaging) decisions. It is inspired by the Chinese community indicator "AHR999" proposed by “Jiushen”. How to use: Lower HM-based AHR → cheaper (potential buy zone). Higher HM-based AHR → more expensive (potential risk zone). Higher than Risk Threshold → consider to sell, but not suitable for DCA. When both AHR lines are below the Risk threshold → buy the cheaper one (or split if similar). If one AHR is above Risk → buy the other asset. If both are above Risk → simulation shows “STOP (both risk)”. Not limited to BTC/ETH — you can freely change symbols in the input panel to build any dual-asset DCA pair you want (e.g., BTC/BNB, ETH/SOL, etc.). What you’ll see: Two lines: AHR BTC (HM) and AHR ETH (HM) Two dashed lines: OppThreshold (green) and RiskThreshold (red) Colored fill showing which asset is cheaper (BTC or ETH) Buy markers: - B = Buy BTC - E = Buy ETH - D = Dual (split budget) Top-right table: prices, AHRs, thresholds, qOpp/qRisk%, simulation, P&L Labels showing last-bar AHR values Core idea: Use an AHR based on Harmonic Moving Average (HM) — a ratio that measures how “cheap or expensive” price is relative to both its short-term mean and long-term trend. The original AHR999 used SMA and was designed for BTC only. This indicator extends it with cross-exchange percentile mapping, allowing the empirical “opportunity/risk” zones of the AHR999 (on Bitstamp) to adapt automatically to the current market pair. The indicator derives two adaptive thresholds: OppThreshold – opportunity zone RiskThreshold – risk zone These thresholds are compared with the current HM-based AHR of BTC and ETH to decide which asset is cheaper, and whether it is good to DCA or not, or considering to sell(When it in risk area). This version uses Display base: Binance (default: perpetual) with HM-based AHR Percentile base: Bitstamp spot SMA-AHR (complete, stable history) Rolling window: 2920 daily bars (~8 years) for percentile tracking Concept summary AHR measures the ratio of price to its long-term regression and short-term mean. HM replaces SMA to better reflect equal-fiat-cost DCA behavior. Cross-exchange percentile mapping (Bitstamp → Binance) keeps thresholds consistent with the original AHR999 interpretation. Recommended settings (1D): DCA length (harmonic): 200 Log-regression lookback: 1825 (≈5 years) Rolling window: 2920 (≈8 years) Reference thresholds: 0.45 / 1.20 (AHR999 empirical priors) Tie split tolerance (ΔAHR): 0.05 Daily budget: 15 USDT (simulation) All display options can be toggled: table, markers, labels, etc. Notes: When the rolling window is filled (2920 bars by default), thresholds are first calculated and then visually backfilled as left-extended lines. The “buy markers” and “decision table” are light simulations without fees or funding costs — for rhythm and relative analysis, not backtesting.
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Anoria_4RICH tarafından
1
Vandan V2Vandan V2 is an automated trading strategy for NQ1! (E-mini Nasdaq-100) based on short-term mean reversion with dynamic risk control. It combines volatility filters and overbought/oversold signals to capture local market imbalances. Backtested from 2015 to 2025, it achieved a +730% total return, Profit Factor of 1.40, max drawdown of only 1.61%, and over 106,000 trades. Designed for systematic scalping or intraday arbitrage with a limit of 3 simultaneous contracts.
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gerasymenko_nazarr tarafından
3
Minervini breakout - AndurilThis indicator checks the Mark Minerivini trend template as well checks consolidation areas and breakout. Checks the highest closing price of last x days (default 20 days), exluding current day and draws a white dashed line, Calculates the relative volume of the current day. Calculates EMA 21, EMA50 and EMA200 and draws on the graph to define trend. Gives a buy signal in green (writing relative strength of that day inside of green arrow) if: 1)       Current price> breakout price* 0.98 2)       Current price > EMA21 >EMA50>EMA200 3)       Current price > 52 week high*0.75 4)       Current price > 52 week low*1.3 5)       EMA 200 of today > EMA 200 of 10 bar ago > EMA 200 of 20 bar ago 6)       Relative volume of the day > 1.5
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ozgenaltintas tarafından
Structure Pro by MurshidfxInspired by the 'mentfx Structure' indicator created by Anton (mentfx) on TradingView, ## Overview Structure Pro tracks market structure by maintaining an adaptive dealing range and its midpoint. Swing highs and lows become structural boundaries, and the script responds to confirmed breakouts by recalculating the active range. Labels highlight the latest trend flip so the chart stays readable while the range evolves. ## Core Logic - Detects swing highs/lows using a configurable pivot strength and promotes confirmed pivots to structural levels. - Applies a percentage buffer to decide when price truly breaks structure; once triggered, the opposite boundary is recalculated with an anchor search that looks back through historical bars. - Computes equilibrium as the midpoint between the current structural high and low so you can gauge premium versus discount zones. - Emits a single BULL or BEAR label when the trend state changes, keeping only the most recent signal on the chart. ## How to Use 1. Open a clean chart and apply only this script. 2. Select a swing strength that matches the scale you want to monitor (lower values for responsive intraday swings, higher values for broader moves). 3. Tune the structure sensitivity percentage if you prefer tighter or looser confirmation before declaring a breakout. 4. Track DRH/DRL for the current dealing range, use the equilibrium line as a mean-reversion guide, and look to the BULL/BEAR label for structure confirmation. 5. Combine the levels with your own execution, risk, and position rules—this script does not manage orders. ## Inputs - Swing Point Strength: bars required on both sides to confirm a pivot. - Structure Break Sensitivity: percentage buffer applied to the range before calling a breakout. - Dealing Range display: toggles for visibility, line width/color, label text, and label size. - Equilibrium display: line style, width, and color controls. - Trend Signals: enable/disable labels, adjust text size, and pick label colors. ## Notes - Designed for live structure tracking; the script relies on confirmed pivots and does not peek into future data. - Built to be chart-agnostic for standard candles; non-standard chart types can distort the measurements. - Published open-source so traders can review and verify the implementation details.
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gilani9393 tarafından
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics. This reveals deep conviction among long-term ETH holders Core Concept: Direct 6-Month Dormancy The indicator uses two precise on-chain signals: Total Unique ETH Addresses From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES Counts every address ever used on Ethereum Addresses Inactive ≥ 180 Days From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS Counts every address that has not sent or received ETH in 6+ months Sleepy ETH = Dormant ≥ 180 Days Sleepy Ratio % = (Sleepy / Total) × 100 This is not an estimate — it’s direct, real dormancy. Why 6-Month Dormancy Matters Short-term activity (7-day) = noise from DeFi, NFTs, trading 180-day inactivity = true HODLing — coins untouched through entire market cycles Historically: Rising dormancy → supply drying up → bullish pressure Falling dormancy → long-term holders selling → bearish warning How It Works (Step-by-Step) Fetches daily data from Glassnode (Pro+) or CryptoQuant (free) Selects real data if available; otherwise uses robust fallback Calculates raw sleepy wallets = addresses inactive ≥ 180 days Smooths the signal with a 21-day simple moving average (SMA) to filter noise Computes Sleepy Ratio % for instant conviction reading Displays live info table with exact values on every bar How to Use It Signal Interpretation Suggested Action Sleepy Ratio > 75% and rising Extreme long-term HODLing Strong accumulation — buy/hold Smooth Sleepy trending up Dormancy growing over 21 days Bullish supply shock forming Sleepy Ratio < 68% and falling Long-term coins re-entering circulation Caution — possible distribution Smooth Sleepy dropping fast HODLers breaking after 6+ months Bearish warning — consider exits Use on Daily (D) or Weekly (W) charts for clean, reliable signals. Pro+ vs Free Mode Mode Data Source Accuracy Pro+ (Glassnode ON) Real 180-day dormancy metric 100% precise Free (Glassnode OFF) CryptoQuant + price-scaled estimate ~80% historical correlation Toggle in settings: Use Glassnode Data What Makes This Indicator Original First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS No fake math — uses true inactivity, not active address subtraction Dual-source logic ensures usability on any TradingView plan Dual output: raw sleepy count + 21-day SMA for precision and trend Live info table shows real-time values and data source
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bristleconewealth tarafından