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Investment Analysis Bar v2What It Does A comprehensive analysis bar combining fundamental metrics with technical signals, designed for long-term investors who prioritize quality over momentum. Core Philosophy: Quality companies trading below their 200 EMA in accumulation zones = opportunities, not warnings. Tier 1 Bar Metrics Margins: GM, OM, NIM, FCF Margin Returns: ROCE, ROE Growth: Revenue YoY, EPS YoY Valuation: PE TTM, Forward PE, PEG Zone: Accumulate / Hold / Trim / Exit Signal: PRIME / BUY / TRIM / SELL / NEUTRAL Performance: 1W to 1Y returns Two Strategy Modes Value Accumulator (Default) - For long-term position building. Treats below-200-EMA as an opportunity when fundamentals are intact. PRIME signals require: RSI bounce + Volume + Accumulate Zone + All Quality Gates Pass + Below 200 EMA. Trend Follower - Traditional momentum approach. Prefers entries above 200 EMA. Quality Gates System Four fundamental checkpoints: Gross Margin ≥ 40% ROCE ≥ 15% Debt/Equity ≤ 50% SBC/Revenue ≤ 15% Strong signals require quality confirmation. PRIME signals require ALL gates to pass. Zone System Three calculation methods: 52W Range: Accumulate in bottom 25%, Trim in top 25% Manual Levels: Set your own price targets ATR-Based: Dynamic zones from EMA ± ATR Signal Hierarchy (Value Mode) SignalMeaning PRIME 💎Optimal entry - all conditions aligned BUY 🔼Strong accumulation signal BUY? ↗Decent entry, not ideal zone ACCUM 🎯In accumulation zone, quality OK WAIT ⏳Setup forming, no bounce yet TRIM 📤Consider taking profits Alerts Included Zone transitions (Accumulate, Trim, Exit) PRIME Entry Signal Strong Buy / Sell signals Quality Gate failures Quality Accumulation Setup Best Used On US stocks with fundamental data available. Technical features work on all symbols. Settings Fully customizable: Toggle each metric category Adjust quality gate thresholds Choose zone calculation method Configure RSI/volume parameters Position bar and panel anywhere
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olahesselroth의
Trinity Swing Trading Buy and SellThis is a simple little Heiken Ashi MA + ADX & MACD trend-following trading system designed to capture medium- to longer-term moves while filtering out noise and weak trends. It combines modified Heiken Ashi candles (for smoother trend detection) with a moving average alignment, plus optional confirmation from ADX (trend strength) and MACD (momentum). In practice, the indicator works well on higher timeframes (e.g., 1H, 4H, daily) where trends are more sustained. It performs best in trending markets and naturally avoids choppy/range-bound conditions thanks to the ADX filter (requiring ADX > 20 by default). All key components are fully customizable, so you can disable filters or adjust parameters to suit different instruments (stocks, forex, crypto, futures). Default settings are: 16 HMA 8,17,9 MACD 15,20 ADX Recommend to add an additional longer term EMA like 200 for long term trend confirmation. Adjust inputs in the settings panel as needed: Toggle MA, ADX, or MACD filters on/off. Change MA type/length, MACD parameters, ADX threshold - Use the visual blue diamonds (below bars) for long entries and purple diamonds (above bars) for short entries as confirmation of signals. - Set alerts on the "Buy Alert" and "Sell Alert" conditions if you want real-time notifications. This setup gives you a complete, rule-based system that avoids emotional trading and repetitive entries, making it suitable for both backtesting and live trading with proper risk management.
Pine Script® 인디케이터
EMA34TRADER의
REM Algo - Earnings AlertsNot everyone wants to hold positions through earnings announcements — and if you’re evaluating a strategy, earnings-related gaps can distort performance metrics and make results harder to interpret. This script helps you manage earnings risk by triggering alerts during an Earnings Blackout window. You can: get an alert to close positions the day before earnings, and/or receive a reminder not to open new positions on blackout days prior to the earnings announcement. Add alerts to the stocks you trade. When a blackout day occurs, the script triggers at the hour and minute you choose in the settings. The Earnings Blackout period covers the day before and the day of the earnings announcement, adjusted for weekends and market holidays. Use it as a standalone risk-control tool — or alongside your existing strategy — so earnings gaps don’t interfere with your trading rules or your backtest results.
Pine Script® 인디케이터
ZenAlgorithmics의
Open Interest Bubbles [BackQuant]Open Interest Bubbles A visual OI positioning overlay that aggregates futures open interest across major venues, normalizes it into a consistent “signal strength” scale, then plots extreme events as bubbles, labels, and optional horizontal levels directly on price. What this is for Open interest is one of the cleanest ways to track when positioning is building, unwinding, or aggressively shifting. The problem is raw OI is noisy, exchange-specific, and hard to compare across time. This script solves that by: - Aggregating OI across multiple exchanges. - Letting you choose what “OI signal” you care about (raw, delta, percent versions). - Normalizing the signal so “big events” are easy to spot. - Plotting those events as bubbles and levels at the exact price they occurred. You end up with a clean, fast visual map of where large positioning changes occurred, and where those events may later matter as reaction points. ──────────────────────────────────────────────────────────── Plotting types (what you can display) Bubbles This mode plots OI events as size-bucketed circles on the chart. Bigger bubbles represent stronger normalized events. You can tune: - Bubble sizing by bucket (Tiny → Huge). - Heatmap vs solid color styling. - Signed vs unsigned coloring (positive/negative separation or magnitude-only). Best use: - Spotting “where something changed” at a glance. - Identifying clusters of positioning events around key price zones. - Seeing whether the market is repeatedly building/closing positions at similar levels. Levels Levels mode draws a horizontal line at the anchor price when an extreme OI event triggers. These act like “positioning memory” levels: - They do not claim to be support/resistance by themselves. - They highlight prices where the derivatives market clearly did something meaningful. Best use: - Marking potential reaction zones. - Combining with your price action tools (structure, OBs, FVGs) to confirm whether an OI level aligns with a technical level. - Building a “map” of where leverage likely entered or exited. Modes available in the script: - Off - Bubbles - Bubbles + Labels - Labels Only - Levels + Labels ──────────────────────────────────────────────────────────── Aggregated Open Interest source (multi-exchange) This indicator builds a single aggregated OI series by requesting OI data from multiple exchanges and summing it. You can toggle exchanges on/off: - Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit You can also choose OI units: - COIN , OI in base units (native sizing) - USD , converted for a dollar-value representation Important note: Not every symbol has OI data on every venue. If the script cannot build an aggregated series for the symbol, it will throw an error rather than quietly plotting garbage. ──────────────────────────────────────────────────────────── OI Source, what the bubbles are measuring You control what “signal” is normalized and plotted: - Delta , change in aggregated OI from the prior bar. Use when you want to highlight bursts of new positioning or sudden unwind events. - Raw OI , the aggregated open interest level itself. Use when you want to highlight absolute positioning build-up periods. - Delta % , percent change in OI. Use when you want moves normalized to the current OI regime, useful across different market eras. - Raw OI % , percent change form of the raw series. Use when you want relative changes rather than absolute size. Practical guidance: - Delta modes are best for “event detection”. - Raw modes are better for “regime context” and whether positioning is structurally rising or fading. ──────────────────────────────────────────────────────────── Normalization (the key to making it readable) Because OI varies massively across assets and time, the script includes multiple normalization modes to convert your chosen OI source into a comparable “strength” value. Options: - ZScore , deviation from a rolling mean in standard deviation units. - StdNorm , scaled by rolling standard deviation. - AbsZScore , absolute value version for magnitude-only mapping. - AbsStdNorm , absolute value version for magnitude-only mapping. - None , plots raw values (advanced users only, often too noisy visually). Why this matters: Normalization makes a “1.5” or “3.0” threshold mean something across different assets and timeframes, instead of being stuck to raw OI units. ──────────────────────────────────────────────────────────── Threshold system (when bubbles/levels trigger) The plot is driven by two user thresholds: - Base Threshold Controls where “meaningful” events start. Raising this reduces noise and focuses on larger deviations. - Extreme Threshold Controls what qualifies as a top-tier event. Extreme events are what you typically want to convert into labels and levels. You also control side filtering: - Both , show positive and negative events. - Positive Only , show only increases (or positive signal side depending on source). - Negative Only , show only decreases (or negative signal side). In practice: - Use Base Threshold to tune chart cleanliness. - Use Extreme Threshold to mark only the “big stuff” that tends to matter later. ──────────────────────────────────────────────────────────── Anchor Source (where the bubble/level is placed) The indicator places bubbles, labels, and levels at a price anchor you choose: - HL2, Close, Open, High, Low, VWAP This is important because “where you pin the event” changes how it reads: - Close is clean and consistent for backtesting and candle-close logic. - High/Low can better represent where the fight occurred intrabar. - VWAP can be useful for “fair price” anchoring in active markets. ──────────────────────────────────────────────────────────── Style system (theme, palette, signed logic) This script is built to look good and stay readable on busy charts. Themes - BackQuant, Classic, Ice, Fire, Mono, Custom Palette Mode - Solid , one consistent color - Heatmap , intensity increases with magnitude - Single Color Adaptive , adapts to chart background for clarity Side Coloring - Signed , positive and negative events can use different ramps - Unsigned , magnitude-only coloring Negative theme handling: - Auto (mirrors your chosen theme), - Invert (flips the ramp), - Custom (fully user-defined negative palette). What this gives you: - You can run a clean “mono” look for professional charts. - Or a high-contrast heatmap for fast scanning. - Or fully custom branding colors for BackQuant-style presentation. ──────────────────────────────────────────────────────────── Labels (what’s inside the label) When labels are enabled, the script can display: - OI , the aggregated OI value - OI + Norm , OI plus normalized strength - Norm Only , just the normalized strength - Src + Norm , the selected source value (Delta, Raw, %) plus normalized strength You can also control: - Left/Center/Right label alignment - Number formatting style (Raw, Compact, Volume format) Best practice: - Use “Src + Norm” when you want both the raw event size and its rarity. - Use “Norm Only” when you want a clean, minimal chart. ──────────────────────────────────────────────────────────── Levels and object limits (performance and cleanliness) Because this script draws objects, it includes a hard cleanup system: - You set Max Levels / Labels to control chart clutter. - The script deletes older lines/labels when the limit is exceeded. This is critical if you trade lower timeframes, where OI events can trigger frequently. ──────────────────────────────────────────────────────────── How to interpret the signals What a large bubble usually means: - A statistically large positioning change relative to recent history. - This can represent fresh leverage entering, forced liquidations, or aggressive de-risking, depending on direction and context. How to use levels: - Treat them as “attention levels”, not automatic entries. - Combine them with structure and liquidity tools: - If price revisits an OI level and shows rejection, it often confirms that level mattered. - If price slices through with no reaction, it often indicates the OI event was transitional, not defended. Common setups: - Clustered extreme bubbles near a breakout zone, then retest later. - Extreme negative event at capitulation low, followed by structure flip. - Extreme positive build into resistance, then unwind and mean reversion. Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source! Here is the original script:
Pine Script® 인디케이터
BackQuant의
Momentum & Breakout Confirmationwatch momentum build in real time on the current candle so you can confirm weather a breakout is indeed a breakout or will be a fake out. This is what it does This is a Momentum & Breakout Confirmation (MBC) indicator that analyzes the current candle in real-time to determine if it's a strong continuation move or possible reversal. Here's the breakdown: What It Measures: Momentum Strength - How much % the candle moved: STRONG = >0.5% move MEDIUM = 0.2-0.5% WEAK = <0.2% Direction - Simply bullish (green candle) or bearish (red candle) Four Confirmation Factors: Volume Surge - Is volume 1.5x above the 20-period average? Move Size - Is the candle body larger than 0.5x ATR (significant)? Body Strength - Is the body >60% of total candle range (strong conviction, minimal wicks)? Trend Aligned - Does it align with 9/21 MA trend direction? The Scoring System: Adds 1 point for each confirmation factor met (max 4 points) 3-4 points = "STRONG CONTINUATION" 🚀 2 points = "LIKELY CONTINUATION" 1 point = "WEAK SIGNAL" 0 points = "POSSIBLE REVERSAL" ⚠️ Key Difference from TPC: TPC uses multi-timeframe SuperTrend for strategic entries MBC focuses on the current candle only - it's asking "Is THIS candle showing real momentum or is it weak/fake?" Practical Use: Great for confirming if a breakout or move is "real" with strong conviction behind it, or if it's low-volume/weak-bodied and likely to fail. The table updates live so you can watch momentum build during the candle formation. Hope it helps. if you guys have any ideas for any indicators you want made please feel free to dm me as i like a good challenge lol ill sit here and try to code anything now im not saying i will be 100 percent successful but i will try for you, thanks for all the support from all you guys i def do appreciate it.
Pine Script® 인디케이터
wateriskey6689의
Global Net Liquidity w/offsetShows the value of Global Net Liquidity. Currently defined as: Fed + Japan + China + HK + UK + ECB - RRP - TGA where the first six components are central bank assets. This script has been heavily inspired by dharmatech 's Global Net Liquidity Original script can be viewed here: Special for this script: Hong Kong assets added Offset mode Smooth vs stepped line in lower than 1D time frame Switch between trillion USD or full number Defaults to overlay mode when added to chart For Bitcoin, 90 days, is a fitting offset. For SPX, around 60-70 days, is a fitting offset.
Pine Script® 인디케이터
bkbjakdk의
Druckenmiller Alpha-Physics [Dual-Core]Stop trading in a vacuum. Start trading like a Macro Fund Manager. The Druckenmiller Alpha-Physics engine is a professional-grade dashboard designed to solve the single biggest problem in trading: Context. Most traders buy a "dip" only to realize it was a crash, or sell a "rip" only to watch it fly higher. This tool solves this by synthesizing Market Physics (Velocity & Acceleration) across two distinct timeframes (Weekly Macro & Daily Tactical) and filtering every signal through a Global Liquidity Shield. It is engineered based on the trading philosophy of Stanley Druckenmiller: “I don’t care about the news. I care about the liquidity and the acceleration of the trend.” How It Works (The Dual-Core Logic) The engine runs 27 distinct sector assets through a dual-loop physics processor: The Macro Core (Weekly): Analyzes the 18-month trend. Is the "Tide" coming in or going out? The Tactical Core (Daily): Analyzes the 3-day price action. Is the "Wave" crashing or rising? It then synthesizes these two data streams into a single Action Signal. The Signals (How to Read) The dashboard tells you exactly what to do based on the conflict between Macro and Micro: 🟢 BUY PULLBACK (The "Alpha" Trade): Logic: Macro is RIPPING (Bullish) + Tactical is TOP/CRASH (Bearish). Meaning: You are buying a long-term leader on a short-term discount. 🔵 STINK BID (The "Bottom" Trade): Logic: Macro is TURNING UP + Tactical is CRASHING. Meaning: The physics have shifted positive, but price is still dumping. Place limit orders -5% lower to catch the panic bottom. 🔴 SELL RIP (The "Trap" Trade): Logic: Macro is TOPPING (Bearish) + Tactical is RIPPING (Bullish). Meaning: The long-term trend is dead. Sell into this short-term rally immediately. ⚪ HOLD: All systems go. Sit on your hands and ride the trend. The "Invisible" Liquidity Shield The most dangerous time to buy is when the Fed is draining liquidity. This script monitors the 10-Year Treasury Yield (TNX) and VIX in real-time. If Liquidity is OK (Navy Header): Signals are valid. Green means Go. If Liquidity is TIGHT (Maroon Header): The entire dashboard enters "Defense Mode." Buy signals are tinted Maroon to warn you that you are fighting the Fed. Included Universe (The "Ultimate" List) Includes 27 institutional-grade tickers covering every corner of the market: Growth: XLK, SMH, IGV, GRID, QTUM Cyclical: JETS, XHB, KRE, XLI, XLF Commodities: GDX, URA, XLE, XLB, TAN Risk/Safety: IBIT, TLT, XLV, XLP Note: This script uses dynamic request handling optimized for Pine Script v6. It is designed for Premium/Ultimate plans due to the high volume of data processing (54+ simultaneous streams).
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KujakuO의
1
Dolar MEP Implicito de CEDEARs y ADRs**Implicit USD Exchange Rate from CEDEARs and ADRs** This indicator calculates the implicit ARS/USD exchange rate using CEDEAR pairs traded on the Argentine stock exchange (BYMA). It compares the ARS price of a CEDEAR against its USD MEP version (D-suffix ticker) to derive the implicit dollar rate. **How it works:** Divide the ARS ticker price by the D-suffix ticker price. Example: AAPL / AAPLD = Implicit rate. **Features:** • Top 10 CEDEARs ranked by 30-day average volume • AL30/AL30D bond benchmark as white reference line • Filter: Top 5, Top 10, or All • Custom ticker input field • Info box with best buy and best sell rates • Colored labels for each ticker **Default Tickers:** PAMP, GGAL, AMZN, IBIT, GOOGL, NVDA, MELI, VIST, NFLX, GLD **Usage:** Apply to any chart. Works independently of chart symbol. **Disclaimer:** For informational and educational purposes only. Eco Valores S.A. does NOT provide investment advice. Consult a qualified financial advisor before investing. Eco Valores S.A. - ALyC 109/CNV
Pine Script® 인디케이터
Eco Valores의
Implicit Dolar MEPWhich stock or CEDEAR offers the best implied MEP dollar rate? This indicator displays labels positioned at the level of the implied MEP dollar rate for the 10 equity instruments (stocks, CEDEARs and ETFs) with the highest trading volume in MEP dollars over the last month on the BYMA market. The implied rate for each asset is calculated as the ratio between its price in ARS and its price in MEP dollars, for example: GGAL / GGALD. As a reference (benchmark), a white line is plotted representing the implied MEP dollar rate of the AL30 bond, calculated as AL30 / AL30D, which is the most liquid government bond in the BYMA market. Settings • The user may enter the ticker of any bi-currency instrument (fixed income or equity) to add its label to the chart. Key information An information box highlights: • The asset with the most expensive implied dollar (Best SELL). • The asset with the cheapest implied dollar (Best BUY). Not an investment recommendation. This information is provided for informational purposes only and does not constitute an offer, solicitation, or investment advice. Investment decisions are the sole responsibility of the investor.
Pine Script® 인디케이터
Eco Valores의
X-Trend Macro Command CenterX-Trend Macro Command Center (MCC) | Institutional Grade Dashboard 📝 Description Body The Invisible Engine of the Market Revealed. Traders often focus solely on Price Action, ignoring the massive underwater currents that actually drive trends: Global Liquidity, Inflation, and Central Bank Policy. We created X-Trend Macro Command Center (MCC) to solve this problem. This is not just an indicator. It is a fundamental heads-up display that bridges the gap between technical charts and macroeconomic reality. 💡 The Idea & Philosophy Markets don't move in a vacuum. Bull runs are fueled by M2 Money Supply expansion and negative real yields. Crashes are triggered by liquidity crunches and aggressive rate hikes. X-Trend MCC was built to give retail traders the same "Macro Awareness" that institutional desks possess. It aggregates fragmented economic data from Federal Reserve databases (FRED) directly onto your chart in real-time. 🚀 Application & Logic This tool is designed for Trend Traders, Crypto Investors, and Macro Analysts. Identify the Regime: Instantly see if the environment is "RISK ON" (High Liquidity, Low Real Rates) or "RISK OFF" (Monetary Tightening). Validate the Trend: Don't buy the dip if Liquidity (M2) is crashing. Don't short the rally if Real Yields are negative. Multi-Region Analysis: Switch instantly between economic powerhouses (US, China, Japan) to see where the capital is flowing. 📊 Dashboard Metrics Explained Every row in the Command Center tells a specific story about the economy: Interest Rate: The "Gravity" of finance. Higher rates weigh down risk assets (Stocks/Crypto). Inflation (YoY): The erosion of purchasing power. We calculate this dynamically based on CPI data. Real Yield (The "Golden" Metric): Calculated as Interest Rate - Inflation. Green: Real Yield is low/negative. Cash is trash, assets fly. Red: Real Yield is high. Cash is King, assets struggle. US Debt & GDP: Fiscal health indicators formatted in Trillions ($T). Watch the Debt-to-GDP ratio—if it spikes >120%, expect currency debasement. M2 Money Supply: The fuel tank of the market. Tracks the total amount of money in circulation. ↗ Trend: Liquidity is entering the system (Bullish). ↘ Trend: Liquidity is drying up (Bearish). 🧩 The X-Trend Ecosystem X-Trend MCC is just the tip of the iceberg. This module is part of the larger X-Trend Project — a comprehensive suite of algorithmic tools being developed to quantify market chaos. While our Price Action algorithms (Lite/Pro/Ultra) handle the Micro, the MCC handles the Macro. Technical Note: Data Sources: Direct connection to FRED (Federal Reserve Economic Data). Zero Repainting: Historical data is requested strictly using closed bars to ensure accuracy. Open Source: We believe in transparency. The code is open for study under MPL 2.0. Build by Dev0880 | X-Trend © 2025
Pine Script® 인디케이터
Dev0880의
Z-Score & StatsThis is an advanced indicator that measures price deviation from its mean using statistical z-scores, combined with multiple analytical features for trading signals. Core Functionality- Z-Score Calculation Engine: The indicator uses a custom standardization function that calculates how many standard deviations the current price is from its rolling mean. Unlike simple moving averages, this provides a normalized view of price extremes. The calculation maintains a sliding window of data points, efficiently updating mean and variance values as new data arrives while removing old data points. This approach handles missing values gracefully and uses sample variance (rather than population variance) for more accurate statistical measurements. Statistical Zones & Visual Framework: The indicator creates a visual representation of statistical probability zones: ±1 Standard Deviation: Encompasses about 68% of normal price behavior (green zone) ±2 Standard Deviations: Covers approximately 95% of price movements (orange zone) ±3 Standard Deviations: Represents 99.7% probability range (red zone) ±3.5 and ±4 Thresholds: Extreme outlier levels that trigger special alerts The z-score line changes color dynamically based on which zone it occupies, making it easy to identify the current market extremity at a glance. Advanced Features: Volume Contraction Analysis The script monitors volume patterns to identify periods of reduced trading activity. It compares current volume against a moving average and flags when volume drops below a specified threshold (default 70%). Volume contraction often precedes significant price moves and is factored into the optimal entry detection system. Momentum-Based Direction Model: Rather than just showing current z-score levels, the indicator projects where the z-score is likely to move based on recent momentum. It calculates the rate of change in the z-score and extrapolates forward for a specified number of bars. This creates a directional arrow that indicates whether conditions are bullish (negative z-score with upward momentum) or bearish (positive z-score with downward momentum). Divergence Detection System: The script automatically identifies four types of divergences between price action and z-score behavior :- Regular Bullish Divergence: Price makes lower lows while z-score makes higher lows, suggesting weakening downward pressure Regular Bearish Divergence: Price makes higher highs while z-score makes lower highs, indicating exhaustion in the uptrend Hidden Bullish Divergence: Price makes higher lows while z-score makes lower lows, confirming trend continuation in an uptrend Hidden Bearish Divergence: Price makes lower highs while z-score makes higher highs, confirming downtrend continuation The system uses pivot detection with configurable lookback periods and distance requirements, then draws connecting lines and labels directly on the chart when divergences occur. Yearly Statistics Tracking: The indicator maintains historical records of maximum z-score deviations over yearly periods (configurable bar count). This provides context by showing whether current extremes are unusual compared to typical annual ranges. The average yearly maximum helps traders understand if the current market is exhibiting normal volatility or exceptional conditions. Mean Reversion Probability: Based on the current z-score magnitude, the indicator calculates and displays the statistical probability that price will revert toward the mean. Higher absolute z-scores indicate stronger mean reversion probabilities, ranging from 38% at ±0.5 standard deviations to 99.7% at ±3 standard deviations. Comprehensive Statistics Table: A customizable on-chart table displays real-time statistics including: Current z-score value with directional indicator Predicted z-score based on momentum Current year's maximum absolute z-score Historical average yearly maximum Mean reversion probability percentage Zone status classification (Normal, Moderate, High, Extreme) Directional bias (Bullish, Bearish, Neutral) Active divergence status Volume contraction status with ratio Optimal setup detection (combining extreme z-scores with volume contraction) Optimal Entry Setup Detection: The most sophisticated feature identifies high-probability trading setups by combining multiple factors. An "Optimal Long" signal triggers when z-score reaches -3.5 or below AND volume is contracted. An "Optimal Short" signal appears when z-score exceeds +3.5 AND volume is contracted. This combination suggests extreme price deviation occurring on low volume, often preceding strong reversals. Alert System: The script includes a unified alert mechanism that triggers when z-score crosses specific thresholds: Crossing above/below ±3.5 standard deviations (extreme levels) Crossing above/below ±4 standard deviations (critical levels) Alerts fire once per bar with confirmation (previous bar must be on opposite side of threshold) to avoid false signals. Practical Application: This indicator is designed for mean reversion traders who seek statistically significant price extremes. The combination of z-score measurement, volume analysis, momentum projection, and divergence detection creates a multi-layered confirmation system. Traders can use extreme z-scores as potential reversal zones, while the direction model and divergence signals help time entries more precisely. The volume contraction filter adds an additional layer of confluence, identifying moments when reduced participation may precede explosive moves back toward the mean. Chart Attached: NSE GMR Airports, EoD 12/12/25 DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.Happy Trading
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kingshukghosh71의
3
VX-Time Quadrant Overlay (Quarterly Cycles) by Ikaru-s-The Time Quadrant Overlay is a purely time-based visualization tool designed to structure market time into repeating quarterly cycles across multiple timeframes. It does not generate trade signals, entries, or bias. Its sole purpose is to provide time context, so price action can be interpreted within a clear cyclical framework. What this indicator does The indicator divides time into four repeating quarters (Q1–Q4) and displays them simultaneously across different time horizons, such as: Weekly Daily (6-hour quarters) 90-minute cycles Micro cycles (within 90-minute structure) Each row represents a different time cycle, allowing traders to see time alignment, transitions, and overlaps at a glance. Quarter Structure Each cycle follows the same repeating sequence: Q1 – Early phase Q2 – Expansion / “True Open” phase Q3 – Continuation Q4 – Late phase / Transition The quarters are visualized using color-coded boxes, making it easy to see: where the market currently is in time when a new quarter begins when multiple cycles align or diverge Quarter Start Marker An optional Quarter Start Marker (vertical dashed line) can be enabled to highlight the start of a selected quarter (default: Q2). This is intended as a time reference, not a signal: useful for planning useful for contextualizing reactions to levels useful for session and cycle awareness How to use it (practical) This tool is best used to: provide time structure to existing analysis plan around upcoming time transitions contextualize reactions to levels or areas understand where price is acting within a cycle It works well alongside: discretionary price action session-based trading futures and index markets any methodology that respects time as a variable Customization The indicator is fully customizable: Enable / disable individual cycles Adjust box transparency and history depth Toggle labels and pane labels Enable / disable quarter start markers Select which quarter to highlight This allows the tool to remain clean on higher timeframes and detailed on lower ones. Important Notes This is a visual framework, not a strategy. No claims of predictive power are made. Time structure does not replace risk management or execution logic. The indicator is designed to adapt across markets, but interpretation remains discretionary. Final Thoughts Time is often treated as secondary to price. This tool exists to make time visible, structured, and easy to work with — nothing more, nothing less.
Pine Script® 인디케이터
Ikaru-s-의
Forexsebi - NASDAQ Psychological Levels - TrendflowTrendflow is an advanced TradingView indicator combining psychological price levels with trend and multi-timeframe analysis. The indicator automatically plots psychological levels in around the current price. Each level is visualized using horizontal lines and price zones (boxes) to clearly highlight potential support and resistance areas. Psychological Levels – Trendflow ist ein fortschrittlicher TradingView-Indikator , der wichtige psychologische Preislevel mit einer klaren Trend- und Multi-Timeframe-Analyse kombiniert. Trend Analysis with SMAs SMA 50 & SMA 200 plotted directly on the chart Individually toggleable Clear color separation for fast trend recognition Multi-Timeframe SMA Trend Table Trend status (BULLISH / BEARISH / NEUTRAL) across: 5M, 15M, 1H, 4H, 1D Logic: Price relative to SMA 50 & SMA 200 Color-coded, easy-to-read table Info Box Current Gold price Nearest psychological level above and below price Alert System Alerts when price approaches a psychological level User-defined alert distance
Pine Script® 인디케이터
SDTradingInsights의
USDT Market Cap Change [Alpha Extract]A sophisticated stablecoin market analysis tool that tracks USDT market capitalization changes across daily and 60-day periods with statistical normalization and gradient intensity visualization. Utilizing z-score methodology for overbought/oversold detection and dynamic color gradients reflecting change magnitude, this indicator delivers institutional-grade market liquidity assessment through stablecoin flow analysis. The system's dual-timeframe approach combined with statistical normalization provides comprehensive market sentiment measurement based on capital inflows and outflows from the dominant stablecoin. 🔶 Advanced Market Cap Tracking Framework Implements daily USDT market capitalization monitoring with dual-period change calculations measuring both 1-day and 60-day net capital flows. The system retrieves real-time CRYPTOCAP:USDT data on daily timeframe resolution, calculating absolute dollar changes to quantify stablecoin supply expansion or contraction as primary market liquidity indicator. // Core Market Cap Analysis USDT = request.security("CRYPTOCAP:USDT", "D", close) USDT_60D_Change = USDT - USDT USDT_1D_Change = USDT - USDT 🔶 Dynamic Gradient Intensity System Features sophisticated color gradient engine that intensifies visual representation based on change magnitude relative to recent extremes. The system normalizes current 60-day change against configurable lookback period maximum, applying gradient strength calculation to transition colors from neutral tones through progressively intense blues (negative) or reds (positive) based on flow direction and magnitude. 🔶 Statistical Z-Score Normalization Engine Implements comprehensive z-score calculation framework that normalizes 60-day market cap changes using rolling mean and standard deviation for objective overbought/oversold determination. The system applies statistical normalization over configurable periods, enabling cross-temporal comparison and threshold-based regime identification independent of absolute market cap levels. // Z-Score Normalization Change_Mean = ta.sma(USDT_60D_Change, Normalization_Length) Change_StdDev = ta.stdev(USDT_60D_Change, Normalization_Length) Z_Score = Change_StdDev > 0 ? (USDT_60D_Change - Change_Mean) / Change_StdDev : 0.0 🔶 Multi-Tier Threshold Detection System Provides four-level regime classification including standard overbought (+1.5σ), standard oversold (-1.5σ), extreme overbought (+2.5σ), and extreme oversold (-2.5σ) thresholds with configurable adjustment. The system identifies market liquidity extremes when stablecoin inflows or outflows reach statistically significant levels, indicating potential market turning points or trend exhaustion. 🔶 Dual-Timeframe Flow Visualization Features layered area plots displaying both 60-day strategic flows and 1-day tactical movements with distinct color coding for instant flow direction assessment. The system overlays short-term daily changes on longer-term 60-day trends, enabling traders to identify divergences between tactical and strategic capital flows into or out of stablecoin reserves. 🔶 Gradient Color Psychology Framework Implements intuitive color scheme where red gradients indicate capital inflow (bullish for crypto as USDT supply expands for buying) and blue gradients show capital outflow (bearish as USDT is redeemed). The intensity progression from pale to vivid colors communicates flow magnitude, with extreme colors signaling statistically significant liquidity events requiring attention. 🔶 Background Zone Highlighting System Provides subtle background coloring when z-score breaches overbought or oversold thresholds, creating visual alerts without obscuring primary data. The system applies translucent red backgrounds during overbought conditions and blue during oversold states, enabling instant regime recognition across chart timeframes. 🔶 Configurable Normalization Architecture Features adjustable gradient lookback and statistical normalization periods enabling optimization across different market cycles and trading timeframes. The system allows traders to calibrate sensitivity by modifying the window used for maximum change detection (gradient) and mean/standard deviation calculation (z-score), adapting to volatile or stable market regimes. 🔶 Market Liquidity Interpretation Framework Tracks USDT supply changes as proxy for overall cryptocurrency market liquidity conditions, where expanding market cap indicates fresh capital entering crypto markets and contracting cap suggests capital flight. The system provides leading indicator properties as large stablecoin inflows often precede major market rallies while outflows may signal distribution phases. 🔶 Why Choose USDT Market Cap Change ? This indicator delivers sophisticated stablecoin flow analysis through statistical normalization and gradient visualization of USDT market capitalization changes. Unlike traditional market sentiment indicators that rely on price action alone, this tool measures actual capital flows through the dominant stablecoin, providing objective assessment of market liquidity conditions. The combination of dual-timeframe tracking, z-score normalization for overbought/oversold detection, and intensity-based gradient coloring makes it essential for traders seeking macro-level market assessment and regime change detection across cryptocurrency markets. The indicator excels at identifying liquidity extremes that often precede major market reversals or trend accelerations.
Pine Script® 인디케이터
AlphaExtract의
ICT Candle Reading PROICT Candle Reading – Visual Clean This indicator is designed to provide a clean and precise price reading, based on ICT and Smart Money Concepts, without cluttering the chart. Its purpose is to help traders identify real institutional zones, understand market intention, and improve entry timing, using pure price action. 🔹 What does this indicator show? 🟢 Fair Value Gaps (FVG / Imbalances) Detects market inefficiencies created by impulsive moves. Displayed as clean and minimal boxes extended into the future. Useful as mitigation, reaction, or continuation zones. 🟠 Liquidity Sweeps Highlights liquidity grabs above recent highs or below recent lows. Drawn using dashed horizontal lines. Helps identify market manipulation before the true move. 🔵 Displacement Candles Identifies candles with dominant bodies, showing institutional momentum. Marked with small symbols to keep the chart clean. Useful to confirm impulse starts or shifts in market intent. 🎯 Indicator Philosophy ❌ No lagging indicators ❌ No chart clutter ✅ Real ICT concepts ✅ Clean candle reading ✅ Suitable for scalping, intraday, and swing trading ⚙️ Customization Each concept can be enabled or disabled individually. Zone extension length is adjustable. Optimized for 15M, 1H, and 4H timeframes. 📈 How to use This indicator does not provide automatic buy/sell signals. It is best used with: Higher timeframe bias Market structure Session timing (London / New York) Proper risk management 🧠 Final Notes ICT Candle Reading – Visual Clean helps you see the market from an institutional perspective, focusing only on what truly matters: price, liquidity, and intent.
Pine Script® 인디케이터
Alxymarketfx의
Peter Lynch Value (Dynamic Growth)This indicator implements Peter Lynch's core valuation principle: Fair Price = Earnings Per Share (EPS) * Growth Rate. It provides a dynamic "fair value" line overlaid on the price chart, allowing traders and investors to quickly assess whether a stock's current price is trading above or below its intrinsic value according to the Lynch method. Key Features 1. Dynamic Growth Rate Calculation The indicator uses a custom algorithm to calculate the critical EPS Growth Rate, making it robust against missing data from standard financial fields. Methodology: It fetches historical TTM Diluted EPS reports (EARNINGS_PER_SHARE_DILUTED, TTM) and calculates the Year-over-Year (YoY) Growth Percentage from the current TTM value versus the TTM value 4 periods prior. Reliability: This custom calculation ensures the value line appears even when TradingView's pre-calculated growth metrics are unavailable (na). 2. Multiplier Control P/E Cap: You can enforce a maximum P/E multiplier (maxPE, default 25), preventing the fair value from becoming unrealistically high for extremely fast-growing companies (as Lynch suggested). Fallback P/E: If insufficient financial history is available to calculate the growth rate, the indicator automatically switches to a user-defined fallbackPE (default 15) and highlights the line in orange as a warning. 3. Smoothing (Optional) To reduce the volatility often seen in valuation metrics, you can apply an optional Simple Moving Average (SMA) to the Fair Value line. This helps visualize the underlying trend of intrinsic value. 4. Forward Estimate (Optional) Display an optional projection (circles) based on the analysts' next Fiscal Year EPS Estimate (EARNINGS_ESTIMATE, FY). This shows the potential fair value if the company meets future expectations. 5. Diagnostic Table A table in the corner provides transparency on the calculation: Green/Red: Confirms if TTM EPS and Calculated Growth are found. Final P/E Used: Shows the exact multiplier used (calculated growth or the manual fallback). Disclaimer: This tool is for informational and educational purposes only and should not be considered financial advice.
Pine Script® 인디케이터
Uptrader의
PEAD ScreenerPEAD Screener - Post-Earnings Announcement Drift Scanner ═══════════════════════════════════════════════════════════════ WHY EARNINGS ANNOUNCEMENTS CREATE OPPORTUNITY ═══════════════════════════════════════════════════════════════ The days immediately following an earnings announcement are among the noisiest periods for any stock. Within hours, the market must digest new information about a company's profits, revenue, and future outlook. Analysts scramble to update their models. Institutions rebalance positions. Retail traders react to headlines. This chaos creates a well-documented phenomenon called Post-Earnings Announcement Drift (PEAD): stocks that beat expectations tend to keep rising, while those that miss tend to keep falling - often for weeks after the initial announcement. Academic research has confirmed this pattern persists across decades and markets. But not every earnings surprise is equal. A company that beats estimates by 5 cents might move very differently than one that beats by 5 cents with unusually high volume, or one where both earnings AND revenue exceeded expectations. Raw numbers alone don't tell the full story. ═══════════════════════════════════════════════════════════════ HOW "STANDARDIZED UNEXPECTED" METRICS CUT THROUGH THE NOISE ═══════════════════════════════════════════════════════════════ This screener uses a statistical technique to measure how "surprising" a result truly is - not just whether it beat or missed, but how unusual that beat or miss was compared to the company's own history. The core idea: convert raw surprises into Z-scores. A Z-score answers the question: "How many standard deviations away from normal is this result?" - A Z-score of 0 means the result was exactly average - A Z-score of +2 means the result was unusually high (better than ~95% of historical results) - A Z-score of -2 means the result was unusually low By standardizing surprises this way, we can compare apples to apples. A small-cap biotech's $0.02 beat might actually be more significant than a mega-cap's $0.50 beat, once we account for each company's typical variability. This screener applies this standardization to three dimensions: earnings (SUE), revenue (SURGE), and volume (SUV). ═══════════════════════════════════════════════════════════════ THE 9 SCREENING CRITERIA ═══════════════════════════════════════════════════════════════ ───────────────────────────────────────── 1. SUE (Standardized Unexpected Earnings) ───────────────────────────────────────── WHAT IT IS: SUE measures how surprising an earnings result was, adjusted for the company's historical forecast accuracy. Calculation: Take the earnings surprise (actual EPS minus analyst estimate), then divide by the standard deviation of past forecast errors. This uses a rolling window of the last 8 quarters by default. Formula: SUE = (Actual EPS - Estimated EPS) / Standard Deviation of Past Errors HOW TO INTERPRET: - SUE > +2.0: Strongly positive surprise - earnings beat expectations by an unusually large margin. These stocks often continue drifting higher. - SUE between 0 and +2.0: Modest positive surprise - beat expectations, but within normal range. - SUE between -2.0 and 0: Modest negative surprise - missed expectations, but within normal range. - SUE < -2.0: Strongly negative surprise - significant miss. These stocks often continue drifting lower. For long positions, look for SUE values above +2.0, ideally combined with positive SURGE. ───────────────────────────────────────── 2. SURGE (Standardized Unexpected Revenue) ───────────────────────────────────────── WHAT IT IS: SURGE applies the same standardization technique to revenue surprises. While earnings can be manipulated through accounting choices, revenue is harder to fake - it represents actual sales. Calculation: Take the revenue surprise (actual revenue minus analyst estimate), then divide by the standard deviation of past revenue forecast errors. Formula: SURGE = (Actual Revenue - Estimated Revenue) / Standard Deviation of Past Errors HOW TO INTERPRET: - SURGE > +1.5: Strongly positive revenue surprise - the company sold significantly more than expected. - SURGE between 0 and +1.5: Modest positive surprise. - SURGE < 0: Revenue missed expectations. The most powerful signals occur when BOTH SUE and SURGE are positive and elevated (ideally SUE > 2.0 AND SURGE > 1.5). This indicates the company beat on both profitability AND top-line growth - a much stronger signal than either alone. When SUE and SURGE diverge significantly (e.g., high SUE but negative SURGE), treat with caution - the earnings beat may have come from cost-cutting rather than genuine growth. ───────────────────────────────────────── 3. SUV (Standardized Unexpected Volume) ───────────────────────────────────────── WHAT IT IS: SUV detects unusual trading volume after accounting for how volatile the stock is. More volatile stocks naturally have higher volume, so raw volume comparisons can be misleading. Calculation: This uses regression analysis to model the expected relationship between price volatility and volume. The "unexpected" volume is the residual - how much actual volume deviated from what the model predicted. This residual is then standardized into a Z-score. In plain terms: SUV asks "Given how much this stock typically moves, is today's volume unusually high or low?" HOW TO INTERPRET: - SUV > +2.0: Exceptionally high volume relative to the stock's volatility. This often signals institutional activity - big players moving in or out. - SUV between +1.0 and +2.0: Elevated volume - above normal interest. - SUV between -1.0 and +1.0: Normal volume range. - SUV < -1.0: Unusually quiet - less activity than expected. High SUV combined with positive price movement suggests accumulation (buying). High SUV combined with negative price movement suggests distribution (selling). ───────────────────────────────────────── 4. % From D0 Close ───────────────────────────────────────── WHAT IT IS: This measures how far the current price has moved from the closing price on its initial earnings reaction day (D0). The "reaction day" is the first trading day that fully reflects the earnings news - typically the day after an after-hours announcement, or the announcement day itself for pre-market releases. Calculation: ((Current Price - D0 Close) / D0 Close) × 100 HOW TO INTERPRET: - Positive values: Stock has gained ground since earnings. The higher the percentage, the stronger the post-earnings drift. - 0% to +5%: Modest positive drift - earnings were received well but momentum is limited. - +5% to +15%: Strong drift - buyers continue accumulating. - > +15%: Exceptional drift - significant institutional interest likely. - Negative values: Stock has given back gains or extended losses since earnings. May indicate the initial reaction was overdone, or that sentiment is deteriorating. This metric is most meaningful within the first 5-20 trading days after earnings. Extended drift (maintaining gains over 2+ weeks) is a stronger signal than a quick spike that fades. ───────────────────────────────────────── 5. # Pocket Pivots ───────────────────────────────────────── WHAT IT IS: Pocket Pivots are a volume-based pattern developed by Chris Kacher and Gil Morales. They identify days where institutional buyers are likely accumulating shares without causing obvious breakouts. Calculation: A Pocket Pivot occurs when: - The stock closes higher than it opened (up day) - The stock closes higher than the previous day's close - Today's volume exceeds the highest down-day volume of the prior 10 trading sessions The screener counts how many Pocket Pivots have occurred since the earnings announcement. HOW TO INTERPRET: - 0 Pocket Pivots: No detected institutional accumulation patterns since earnings. - 1-2 Pocket Pivots: Some institutional buying interest - worth monitoring. - 3+ Pocket Pivots: Strong accumulation signal - institutions appear to be building positions. Pocket Pivots are most significant when they occur: - Immediately following earnings announcements - Near moving average support (10-day, 21-day, or 50-day) - On above-average volume - After a period of price consolidation Multiple Pocket Pivots in a short period suggest sustained institutional demand, not just a one-day event. ───────────────────────────────────────── 6. ADX/DI (Trend Strength and Direction) ───────────────────────────────────────── WHAT IT IS: ADX (Average Directional Index) measures trend strength regardless of direction. DI (Directional Indicator) shows whether the trend is bullish or bearish. Calculation: ADX uses a 14-period lookback to measure how directional (trending) price movement is. Values range from 0 to 100. The +DI and -DI components compare upward and downward movement. The screener shows: - ADX value (trend strength) - Direction indicator: "+" for bullish (price trending up), "-" for bearish (price trending down) HOW TO INTERPRET: - ADX < 20: Weak trend - the stock is moving sideways, choppy. Not ideal for momentum trading. - ADX 20-25: Trend is emerging - potentially starting a directional move. - ADX 25-40: Strong trend - clear directional movement. Good for momentum plays. - ADX > 40: Very strong trend - powerful move in progress, but may be extended. The direction indicator (+/-) tells you which way: - "25+" means ADX of 25 with bullish direction (uptrend) - "25-" means ADX of 25 with bearish direction (downtrend) For post-earnings plays, ideal setups show ADX rising above 25 with positive direction, confirming the earnings reaction is developing into a sustained trend rather than a one-day spike. ───────────────────────────────────────── 7. Institutional Buying PASS ───────────────────────────────────────── WHAT IT IS: This proprietary composite indicator detects patterns consistent with institutional accumulation at three stages after earnings: EARLY (Days 0-4): Looks for "large block" buying on the earnings reaction day (exceptionally high volume with a close in the upper half of the day's range) combined with follow-through buying on the next day. MID (Days 5-9): Checks for sustained elevated volume (averaging 1.5x the 20-day average) combined with positive drift and consistent upward price movement (more up days than down days). LATE (Days 10+): Detects either visible accumulation (positive drift with high volume) OR stealth accumulation (positive drift with unusually LOW volume - suggesting smart money is quietly building positions without attracting attention). HOW TO INTERPRET: - Check mark/value of '1': Institutional buying pattern detected. The stock shows characteristics consistent with large players accumulating shares. - X mark/value of '0': No institutional buying pattern detected. This doesn't mean institutions aren't buying - just that the typical footprints aren't visible. A passing grade here adds conviction to other bullish signals. Institutions have research teams, information advantages, and long time horizons. When their footprints appear in the data, it often precedes sustained moves. Important: This is a pattern detection tool, not a guarantee. Always combine with other analysis. ───────────────────────────────────────── 8. Strong ATR Drift PASS ───────────────────────────────────────── WHAT IT IS: This measures whether the stock has drifted significantly relative to its own volatility. Instead of asking "did it move 10%?", it asks "did it move more than 1.5 ATRs?" ATR (Average True Range) measures a stock's typical daily movement. A volatile stock might move 5% daily, while a stable stock might move 0.5%. Using ATR normalizes for this difference. Calculation: ATR Drift = (Current Close - D0 Close) / D0 ATR in dollars The indicator passes when ATR Drift exceeds 1.5 AND at least 5 days have passed since earnings. HOW TO INTERPRET: - Check mark/value of '1': The stock has drifted more than 1.5 times its average daily range since earnings - a statistically significant move that suggests genuine momentum, not just noise. - X mark/value of '0': The drift (if any) is within normal volatility bounds - could just be random fluctuation. Why wait 5 days? The immediate post-earnings reaction (days 0-2) often includes gap fills and noise. By day 5, if the stock is still extended beyond 1.5 ATRs from the earnings close, it suggests real buying pressure, not just a reflexive gap. A passing grade here helps filter out stocks that "beat earnings" but haven't actually moved meaningfully. It focuses attention on stocks where the market is voting with real capital. ───────────────────────────────────────── 9. Days Since D0 ───────────────────────────────────────── WHAT IT IS: Simply counts the number of trading days since the earnings reaction day (D0). HOW TO INTERPRET: - Days 0-5 (Green): Fresh earnings - the information is new, institutional repositioning is active, and momentum trades are most potent. This is the "sweet spot" for PEAD strategies. - Days 6-10 (Neutral): Mid-period - some edge remains but diminishing. Good for adding to winning positions, less ideal for new entries. - Days 11+ (Red): Extended period - most of the post-earnings drift has typically played out. Higher risk that momentum fades or reverses. Research shows PEAD effects are strongest in the first 5-10 days after earnings, then decay. Beyond 20-30 days, the informational advantage of the earnings surprise is largely priced in. Use this to prioritize: focus on stocks with strong signals that are still in the early window, and be more selective about entries as days accumulate. ═══════════════════════════════════════════════════════════════ PUTTING IT ALL TOGETHER ═══════════════════════════════════════════════════════════════ You can use this screener in the chart view or in the Screener. One combination of the above filters to develop a shortlist of positive drift candidates may be: - SUE > 2.0 (significant earnings beat) - SURGE > 1.5 (significant revenue beat) - Positive % From D0 Close (price confirming the good news) - Institutional Buying PASS (big players accumulating) - Strong ATR Drift PASS (statistically significant movement) - Days Since D0 < 10 (still in the active drift window) No single indicator is sufficient. The power comes from convergence - when multiple independent measures all point the same direction. ═══════════════════════════════════════════════════════════════ SETTINGS ═══════════════════════════════════════════════════════════════ Key adjustable parameters: - SUE Method: "Analyst-based" uses consensus estimates; "Time-series" uses year-over-year comparison - Window Size: Number of quarters used for standardization (default: 8) - ATR Drift Threshold: Minimum ATR multiple for "strong" classification (default: 1.5) - Institutional Buying thresholds: Adjustable volume and CLV parameters ═══════════════════════════════════════════════════════════════ DISCLAIMER ═══════════════════════════════════════════════════════════════ This screener is a research tool, not financial advice. Past patterns do not guarantee future results. Always conduct your own due diligence and manage risk appropriately. Post-earnings trading involves significant uncertainty and volatility. The 'SUE' in this indicator does not represent a real person; any similarity to actual Sue's (or Susans for that matter) living or dead is quite frankly ridiculous, not to mention coincidental.
Pine Script® 인디케이터
mericourt의
Pops Dividend 7-Day RadarHow traders use it as a strategy anyway 🧠 In real life, this becomes a manual or semi-systematic strategy: Strategy logic (human-driven): Scan for highest yield stocks Filter for ex-date within 7 days Apply technical rules (trend, EMAs, support) Enter before ex-date Exit: Before ex-date (momentum run-up) On ex-date Or after dividend (reversion play) Indicator’s role: “Tell me when a stock qualifies so I can decide how to trade it.” That’s exactly what this tool does. How we could turn this into a strategy-style framework Even though Pine won’t let us backtest dividends properly, we can: Build a rules-based checklist (entry/exit rules) Create alerts that behave like strategy triggers Combine with: EMA trend filters Volume conditions ATR-based exits Label it as: “Pops Dividend Capture Playbook” (manual execution) This keeps it honest, legal, and reliable. Bottom line 🧩 Indicator = what we built 📘 Strategy = how you trade it using the indicator ⚠️ TradingView limitations prevent a true dividend strategy backtest
Pine Script® 인디케이터
PopsStock의