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Yearly VWAPIn this update, I’ve enhanced the Yearly VWAP script so that it now works reliably on all timeframes starting from the 5-minute chart and higher. Previously, the monthly reset logic caused inconsistencies on lower timeframes. Now, the indicator uses a yearly reset based on the calendar year, ensuring stable and accurate VWAP calculations without issues. In short, you can confidently apply this Yearly VWAP to any timeframe from 5 minutes upwards and get consistent results.
Pine Script® 인디케이터
musta7188의
Dragon Flow Arrows (LITE)🚀 DRAGON FLOW ARROWS — LITE | Smart Trend Engine + Clean Reversal Arrows A lightweight but highly-optimized trend system designed for clean charts, powerful visual signals, and no-noise directional flow. Built for traders who want simplicity, clarity, and professional-level momentum-filtered signals without over-complication. 🔥 Dragon Channel (Clean 3-Line Ribbon) A smooth adaptive channel formed from ATR + EMA, giving you structural trend zones without clutter. ✅ Dragon Flow Gradient A horizontal, color-shifted flow: 🟢 Bull flow → green glow 🔴 Bear flow → red glow Automatic blend based on trend direction Smooth visual transitions (no vertical stripes) ✅ Momentum-Filtered Arrows (No Spam) BUY/SELL arrows only print when: Price breaks outside the Dragon Channel Momentum confirms (RSI + MACD filters) Trend flips → one clean arrow per direction Text labels sit outside the channel for better readability. ✅ Smart Header Panel At the top of your chart: 📌 Trend: Uptrend / Downtrend / Neutral ⚡ Impulse Strength: Weak / Normal / Strong 📊 How to Use Entry: BUY Setup Price moving above baseline Dragon Flow turns bullish (cyan side) Arrow appears below channel SELL Setup Price breaks below baseline Dragon Flow turns bearish (magenta side) Arrow pops above channel Exit / Filter: Opposite arrow Flow color shift Trend panel flips Works on Forex, Crypto, Stocks, Indices — all timeframes. Happy trading!
Pine Script® 인디케이터
FxShareRobots의
Session Relative VolumeSession Relative Volume is an advanced intraday futures volume indicator that analyzes volume separately for Asia, London, and New York sessions - something standard relative volume tools can’t do. Instead of aggregating the entire day’s volume, the indicator compares current volume to historical averages for the same session and time of day, allowing you to spot true volume strength and meaningful spikes, especially around session opens. Background Relative volume helps traders spot unusual activity: high volume often signals institutional participation and trending days, while low volume suggests weak commitment and possible mean reversion. In futures markets, sessions ( Asia, London, New York ) must be analyzed separately, but TradingView’s Relative Volume in Time aggregates the entire day, masking session-specific behavior - especially during the New York open. Since volume can vary by more than 20× between sessions, standard averages struggle to identify meaningful volume spikes when trader conviction matters most. Indicator Description The “Session Relative Volume” indicator solves these problems by calculating historical average volume specific to each session and time of day, and comparing current volume against those benchmarks. It offers four display modes and fully customizable session times Altogether, it provides traders with a powerful tool for analyzing intraday futures volume, helping to better assess market participation, trader conviction, and overall market conditions - ultimately supporting improved trading decisions. Parameters Mode – display mode: R-VOL: Relative cumulative session-specific volume at time VOL CUM: Cumulative session volume at time compared to historical average cumulative session-specific volume VOL AVG: Average session intrabar volume at time compared to historical average session-specific intrabar volume VOL: Individual bars volume, highlighting (solid color) unusual spikes Lookback period – number of days used for calculating historical average session volume at time MA Len – length of the moving average, representing average bar volume within a session based on previous periods (different from historical cumulative volume!). Used only in VOL and VOL AVG modes MA Thresh – deviation from moving average, used to detect bar volume spikes (bar volume > K × moving average) Start Time – End Time and Time Zone parameters for each session. The time zone must be set using TradingView’s format (e.g., GMT+1).
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hermes_trisme의
Goldbach Timing Model This indicator is designed as a simple visual framework rather than a rigid signal system. It highlights time-based structure and key alignment zones to help identify when price behavior is more likely to be active or responsive. The logic is intentionally flexible, allowing the user to apply their own discretion instead of relying on strict conditions. Its primary value is visual clarity and context, not automatic entries or exits.
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zoneleventrading의
NCL Noise FilterOne of our Favorite Indicators - the NeoChartLabs Noise Filter. FILTER OUT THE NOISE and focus on the moves that matter, toggle the settings to match your preference. Or switch the Duration Setting to Institutional on a high timeframe (1W+) to locate great spot buying opportunities near cycle tops and bottoms. Volume Filter: The volume filter automatically turns OFF when you switch to Major Macro Cycle or Institutional Baseline, as those high-timeframe structural breaks are often valid even on lower relative volume. You can change the volume requirement by checking the volume of the current breakout bar against its Relative Volume (RVOL) - A setting of 0 turns this OFF. A common professional standard is to require the breakout volume to be at least 1.5x to 2x higher than the 20-period average volume. *we recommend using a higher volume setting on low timeframes under the 4HR to reduce false signals. MTF Filter: *we recommend to set at least 1 timeframe above your trade (i.e if you enter on the 2hour set to the 4 hour) It prevents entering trades that are essentially minor pullbacks in a much larger opposing trend. By integrating a higher timeframe EMA (e.g., a 200-period EMA from a 4x higher timeframe), you can filter out counter-trend trades that have a higher probability of failing. ATR Filter: Filters "Fake-Outs": It forces the price to not just "touch" the trendline, but to break it with enough force to clear the current average volatility. Adaptive: Unlike a fixed pip/dollar amount, the ATR adjusts to the asset. On Bitcoin, the threshold might be $500; on a penny stock, it might be $0.05. Bullish Cross: The price must close above the support trendline + (0.5 * ATR). Bearish Cross: The price must close below the resistance trendline - (0.5 * ATR). MACD Filter: Bullish Crosses require the MACD Histogram to be increasing (showing positive momentum acceleration). Bearish Crosses require the MACD Histogram to be decreasing (showing negative momentum acceleration). RSI Filter: Bullish Breakout (Cross of the lower/support trendline): You would want the RSI to be rising or above 50, showing that buyers are in control. Bearish Breakdown (Cross of the upper/resistance trendline): You would want the RSI to be falling or below 50, showing sellers are in control. Market Structure Shifts (CHoCH) - identifying Trends with bullish/bearish dashed horizontal lines for each CHoCH providing a cleaner visualization of the support or resistance level that price has just violated. Duration Table for 1Week Charts Trading Style Fractal Length (p) Pattern Span Confirmation Delay Standard Swing 2 5 Weeks 2 Weeks Intermediate Trend 5 11 Weeks 5 Weeks Major Macro Cycle 10–20 21–41 Weeks 10–20 Weeks Institutional Baseline 44 ~2 Years ~10 Months
Pine Script® 인디케이터
NeoChartLabs의
1
SUPER SPX T.SHere is the professional English description for your indicator. You can use this if you want to save the script in your TradingView library or share it with others. ### **Indicator Name:** `SPX Pro: EMA Crossover with RSI Filter` ### **Description:** This indicator is specifically optimized for **SPX (S&P 500)** trading, particularly for options traders (CALL/PUT). It combines trend-following moving averages with a momentum filter to identify high-probability entry points. --- ### **Key Features:** * **Dual EMA Engine:** Uses a **9-period Exponential Moving Average (Fast)** and a **21-period Exponential Moving Average (Slow)**. These are the standard benchmarks for identifying short-term momentum on the SPX. * **RSI Momentum Filter:** Unlike standard crossover indicators, this script includes a built-in **Relative Strength Index (RSI)** filter. * **CALL signals** are only generated if the RSI is below 65 (preventing buying at the absolute peak). * **PUT signals** are only generated if the RSI is above 35 (preventing selling at the absolute bottom). * **Visual Signals:** * **Green Triangle + "CALL":** Triggered when the 9 EMA crosses above the 21 EMA while the RSI allows for more upside. * **Red Triangle + "PUT":** Triggered when the 9 EMA crosses below the 21 EMA while the RSI allows for more downside. * **Clean Interface:** Displays the EMAs clearly on the chart to help identify dynamic support and resistance levels. --- ### **How to Use:** 1. **Timeframe:** Recommended for **5-minute** and **15-minute** charts for day trading. 2. **Confirmation:** Look for the signal to appear after the candle closes to ensure the crossover is confirmed. 3. **Strategy:** This indicator works best when the SPX is trending. During a "sideways" or "choppy" market, the RSI filter will help eliminate many false signals that standard crossovers usually fail to catch. --- **Next Step:** Would you like me to add a **"Table"** on the corner of the screen that shows the current RSI value and the trend status (Bullish/Bearish) so you don't have to keep looking at the bottom of the chart?
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Tarekzoom의
BTC ETF Average Inflow Cost BasisConcept Since the historic launch of Bitcoin Spot ETFs on January 11, 2024, institutional flows have become a major driver of price action. This indicator aims to visualize the aggregate Cost Basis (average entry price) of the major Bitcoin ETFs relative to the underlying asset. It serves as an on-chain proxy for institutional positioning, helping traders identify critical support levels where ETF inflows have historically concentrated. How it Works The script aggregates daily volume data from the top Bitcoin ETFs (IBIT, FBTC, ARKB, GBTC, BITB) and compares it against the Bitcoin price (BTCUSDT). ETF Cost Basis (Pink Line): This is calculated as a Cumulative Volume-Weighted Average Price (VWAP), anchored specifically to the ETF launch date (Jan 11, 2024). Formula: It accumulates (BTC Price * Total ETF Volume) and divides it by the Cumulative Total ETF Volume. This creates a dynamic level representing the "breakeven" price for the aggregate volume traded through these funds. True Market Mean (Gray Line): This represents the simple cumulative average of the Bitcoin price since the ETF launch date. It acts as a neutral baseline for the post-ETF market era. How to Use Institutional Support: The Cost Basis line often acts as a strong dynamic support level during corrections. When price revisits this level, it suggests the market is returning to the average institutional entry price. Trend Filter: Price > Cost Basis: The market is in a net profit state relative to ETF flows (Bullish/Trend continuation). Price < Cost Basis: The market is in a net loss state (Bearish/Capitulation risk). Confluence: The intersection of the Cost Basis and the True Market Mean can signal pivotal moments of trend reset. Features Data Aggregation: Pulls data from 5 major ETFs via request.security without repainting (using closed bars). Dashboard: Includes a table in the top-right corner displaying real-time values for Price, Cost Basis, and Market Mean. Customization: You can toggle individual ETF Moving Averages in the settings (disabled by default due to price scale differences between BTC and ETF shares). Disclaimer This tool is for educational purposes only and attempts to estimate institutional cost basis using volume proxies. It does not represent financial advice.
Pine Script® 인디케이터
carlosbucci의
ADX Coloreado por AO + DI DifferenceKey ComponentsADX line: Measures overall trend strength (non-directional). +DI line: Strength of upward movement. -DI line: Strength of downward movement. Trend direction is determined by which DI line is dominant:+DI > -DI: Bullish trend (upward pressure). -DI > +DI: Bearish trend (downward pressure). Crossovers between +DI and -DI can signal potential trend changes, but they are most reliable when ADX confirms sufficient strength.ADX Trend Strength Levels (Common Interpretations)ADX Value Trend Strength Recommendation 0–20 Weak or no trend (ranging/sideways market) Avoid trend-following strategies; consider range-bound or oscillator-based trades. 20–25 Emerging or moderate trend (gray zone) Monitor for confirmation; potential start of trend. 25–50 Strong trend Ideal for trend-following strategies (e.g., moving averages, breakouts). 50–75 Very strong trend High momentum; good for riding trends, but watch for exhaustion. 75–100 Extremely strong trend (rare) Often overextended; risk of reversal or correction. Rising ADX: Trend is strengthening. Falling ADX: Trend is weakening (even if still high).
Pine Script® 인디케이터
pepito87pp의
EMA13-EMA21 Difference Indicator# EMA13-EMA21 Difference Indicator ## Description This indicator calculates the difference between the 13-period Exponential Moving Average (EMA13) and the 21-period Exponential Moving Average (EMA21), helping traders visually assess short-term market momentum. **Core Logic:** - When the difference is positive (green), the short-term EMA is above the long-term EMA, indicating a bullish trend - When the difference is negative (red), the short-term EMA is below the long-term EMA, indicating a bearish trend - Crossovers of the zero line can serve as potential trend reversal signals **Use Cases:** - Trend direction identification - Momentum strength analysis - Entry and exit timing assistance **Disclaimer:** This indicator is for reference only. It is recommended to combine it with other technical analysis tools for comprehensive judgment. This does not constitute investment advice.
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Jaden_Q의
ICT FVG + BPR + Liquidity StrategyICT-Based Strategy combining: • 4H Fair Value Gaps (FVG) for directional bias • Balanced Price Range (BPR) zones for entry refinement • PDH/PDL liquidity sweeps for confirmation • Daily swing high/low structure • London session time windows (07:45-11:45 & 14:00-14:45 GMT) • High-volume liquidity zone detection • Trailing stops at 1R increments Features: ✓ 15+ years backtested (2010-2025) ✓ Works on GBPUSD, GBPJPY, USDCAD ✓ Asymmetric risk/reward (1R-10R winners vs -1R losses) ✓ Automated entry/exit signals ✓ Full risk management (1% per trade) Best for: Personal accounts, swing trading, education Prop firm modifications included in comments. Free to use & modify - Share improvements! Created by: BacktestBay
Pine Script™ 전략
backtestbay의
QuantLabs Multi Asset Similarity Matrix [V3 Final]The Market is a graph. See the flows: The QuantLabs MASM is not a standard correlation table. It is an Alpha-Grade Scanner architected to reveal the hidden "hydraulic" relationships between global macro assets in real-time. Rebuilt from the ground up for Version 3, this engine pushes the absolute limits of the Pine Script™ runtime. It utilizes a proprietary Logarithmic Math Engine, Symmetric Compute Optimization, and a futuristic "Ghost Mode" interface to deliver a 15x15 real-time correlation matrix with zero lag. Under the Hood: The Quant Architecture We stripped away standard libraries to build a lean, high-performance engine designed for institutional-grade accuracy. 1. Alpha Math Engine (Logarithmic Returns) Most tools calculate correlation based on Price, which generates spurious signals (e.g., "Everything is correlated in a bull run"). The Solution: Our engine computes Logarithmic Returns (log(close /close )) by default. This measures the correlation of change (Velocity & Vector), not price levels. The Result: A mathematically rigorous view of statistical relationships that filters out the noise of general market drift. Dual-Core: Toggle seamlessly between "Alpha Mode" (Log Returns) for verified stats and "Visual Mode" (Price) for trend alignment. Calculation Modes: Pearson (Standard), Euclidean (Distance), Cosine (Vector), Manhattan (Grid). 2. Symmetric Compute Optimization Calculating a 15x15 matrix requires evaluating 225 unique relationships per bar, which often crashes memory limits. The Fix: The V3 Engine utilizes Symmetric Logic, recognizing that Correlation(A, B) == Correlation(B, A). The Gain: By computing only the lower triangle of the matrix and mirroring pointers to the upper triangle, we reduced computational load by 50%, ensuring a lightning-fast data feed even on lower timeframes. 3. Context-Aware "Ghost Mode" The UI is designed for professional traders who need focus, not clutter. Smart Detection: The matrix automatically detects your current chart's Ticker ID. If you are trading QQQ, the matrix will visually highlight the Nas100 row and column, making them opaque and bright while dimming the rest. Dynamic Transparency: Irrelevant data ("Noise" < 0.3 correlation) fades into the background. Only significant "Alpha Signals" (> 0.7) glow with full Neon Saturation. Key Features Dominant Flow Scanner: The matrix scans all 105 unique pairs every tick and prints the #1 Strongest Correlation at the bottom of the pane (e.g., DOMINANT FLOW: Bitcoin ↔ Nas100 ). Streak Counter: A "Stubbornness" metric that tracks how many consecutive days a strong correlation has persisted. Instantly identify if a move is a "flash event" or a "structural trend." Neon Palette: Proprietary color mapping using Electric Blue (+1.0) for lockstep correlation and Deep Red (-1.0) for inverse hedging. Usage Guide Placement: Best viewed in a bottom pane (Footer). Assets: Pre-loaded with the Essential 15 Macro Drivers (Indices, BTC, Gold, Oil, Rates, FX, Key Sectors). Fully editable via settings (Ticker|Name). Reading the Grid: 🔵 Bright Blue: Assets moving in lockstep (Risk-On). 🔴 Bright Red: Assets moving perfectly opposite (Hedge/Risk-Off). ⚫ Faded/Black: No statistical relationship (Decoupled). Key Improvements Made: Formatting: Added clear bullet points and bolding to make it scannable. Clarity: Clarified the "Logarithmic Returns" section to explain why it matters (Velocity vs. Price Levels). Tone: Maintained the "high-tech/quant" vibe but removed slightly clunky phrases like "spurious signals" (unless you prefer that academic tone, in which case I left it in as it fits the persona). Structure: Grouped the "Modes" under the Math Engine for better logic. Created and designed with love by David James @QuantLabs : )
Pine Script® 인디케이터
CustomQuantLabs의
TASC 2026.01 The Reversion Index█ OVERVIEW This script implements the Reversion Index as presented by John F. Ehlers in the January 2026 edition of the TASC Traders' Tips , "Identifying Peaks And Valleys In Ranging Markets”. This indicator was created to provide timely buy and sell signals for mean reversion strategies. █ CONCEPTS Ehlers came up with the idea for the Reversion Index following the development of the "Continuation Index" (featured in the September 2025 edition). While the Continuation Index provides indications for trend onset, continuation, and exhaustion; the Reversion Index serves as its counterpart for mean-reversion trading. The raw Reversion Index value is calculated as the net change in price normalized to the sum of the absolute value of change in price over the same period; for clarity, it is then smoothed using Ehlers' SuperSmoother. The Smooth Reversion Index value is led by a "Trigger" line, which is created by smoothing the raw data to half the smoothing period of the smoothed index. Note: Ehlers suggests the smoothing lengths be left at 8 and 4 (Reversion Index & Trigger). For this reason these lengths are hard-coded in the script but can be easily modified in the code. █ USAGE In order to identify peaks and valleys effectively, the "Length" should ideally be set to half of that of the expected cycle of the data. If the expected cycle of your trading data is 20 bars, a 10 bar length should be set. Note: The Reversion Index is intended to identify peaks and valleys within a cycle, not over a large sample period. Ehlers suggests that this would create an estimation of trend, which is not the goal here. Once the length is set, peaks and valleys are interpreted as the cross of the "Trigger" and "Smooth" lines.
Pine Script® 인디케이터
PineCodersTASC의
USD Liquidity Regime for BTC Perps (Dual) V1USD Liquidity Regime for BTC Perps (Dual) This intents to be a BTC Perps USD Liquidity Regime macro indicator. As it names states it is designed for BTCUSDT perpetual futures traders. It attempts to tracks USD strength (DXY, UUP, yields, VIX composite) as liquidity proxy: Lower index = weak USD = Risk-On (green background/histogram = long tailwind for BTC). Higher = strong USD = Risk-Off (red = caution longs, shorts favor). How to use: Green background/histogram: Favor longs — rallies likely, dips bought. Red: Caution longs — corrections hurt, short bias possible. Blue line (index) vs red SMA: Crosses signal regime shifts. Histogram strength: Bigger bars = stronger bias. This is not intended as financial advise or trigger signal tool. This is a work in progress Its value is limited, if you do not understand any or some of the words above please do not use this indicator. If you did, then you understand you are not supposed to use this alone to make decisions. Feel free to ask any questions, this is a work in progress. Feel free to suggest improvements. Educational macro context tool — not signals/advice. Ok for avoiding going against the USD trend dominance by following liquidity. By @frank_vergaram
Pine Script® 인디케이터
frank_vergaram의
Zero Lag MACD and EMA 200 with SignalsZero Lag MACD with EMA Filter and Smart Signals This indicator is an enhanced version of the traditional MACD that uses Zero Lag EMA calculations to provide faster and more responsive signals for scalping and day trading. Key Features: 🎯 Zero Lag Technology - Uses double-smoothed EMA calculations to eliminate lag and provide earlier signals compared to standard MACD 📊 Clean Visualization - Displays histogram with MACD and Signal lines for clear trend analysis 🔍 Smart Signal Logic - Only shows valid trading signals based on strict conditions: Buy Signal (Green dot at bottom): Triggers when price is above 200 EMA AND MACD crosses Signal line from below AND crossover occurs below zero line Sell Signal (Red dot at top): Triggers when price is below 200 EMA AND MACD crosses Signal line from above AND crossover occurs above zero line 🔔 Built-in Alerts - Easy alert setup for both buy and sell signals so you never miss a trading opportunity 📈 200 EMA Filter - Incorporates trend filter to avoid counter-trend trades and improve signal quality ⚙️ Fully Customizable - Adjust all parameters: Fast EMA Length (default: 12) Slow EMA Length (default: 26) Signal Length (default: 9) EMA Filter Length (default: 200) How to Use: -Add the indicator to your chart -Look for green dots (buy signals) when price is in an uptrend above 200 EMA -Look for red dots (sell signals) when price is in a downtrend below 200 EMA -Set up alerts by clicking "Create Alert" and selecting "Buy Signal" or "Sell Signal" -Use signals in conjunction with your trading strategy and risk management Best Practices: -Works best on 1-15 minute timeframes for scalping -Combine with support/resistance levels for confirmation -Use proper stop-loss and take-profit levels -Not all signals will be profitable - use proper risk management -Signals are filtered to reduce noise and false entries Color Scheme: Histogram: Red (bearish) / Cyan (bullish) MACD Line: Fuchsia/Pink Signal Line: Lime/Green Buy Signal: Green dot (bottom) Sell Signal: Red dot (top) This indicator is perfect for traders who want a cleaner, faster-responding MACD with built-in trend filtering and clear entry signals. Free to use and customize!
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Simonezzi의