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อินดิเคเตอร์และกลยุทธ์

Iridescent Liquidity Prism [JOAT]Iridescent Liquidity Prism | Peer Momentum HUD A multi-layered order-flow indicator that combines microstructure analysis, smart-money footprint detection, and intermarket momentum signals. The script uses dynamic color-shifting themes to visualize liquidity patterns, structure, and peer momentum data directly on the chart. There is so much to choose from inside the settings, if you think it's a mess on the chart it's because you have to personally customize it based on your needs... Core Functionality The indicator calculates and displays several analytical layers simultaneously: Order-Flow Imbalance (OFI): Calculates buy vs. sell volume pressure using volume-weighted price distribution within each bar. Uses an EMA filter (default: 55 periods) to smooth the signal. Values are normalized using standard deviation to identify significant imbalances. Smart Money Footprints: Detects accumulation and distribution zones by comparing volume rate of change (ROC) against price ROC. When volume ROC exceeds a threshold (default: 65%) and price ROC is positive, accumulation is detected. When volume ROC is high but price ROC is negative, distribution is detected. Fractal Structure Mapping: Identifies pivot highs and lows using a fractal detection algorithm (default: 5-bar period). Maintains a rolling window of recent structure points (default: 4 levels) and draws connecting lines to show trend structure. Fair Value Gap (FVG) Detection: Automatically detects price gaps where three consecutive candles create an imbalance. Bullish FVGs occur when the current low exceeds the high two bars ago. Bearish FVGs occur when the current high is below the low two bars ago. Gaps persist for a configurable duration (default: 320 bars) and fade when price fills the gap. Liquidity Void Detection: Identifies candles where the high-low range exceeds an ATR threshold (default: 1.7x ATR) while volume is below average (default: 65% of 20-bar average). These conditions suggest areas where liquidity may be thin. Price/Volume Divergence: Uses linear regression to detect when price trend direction disagrees with volume trend direction. A divergence alert appears when price is trending up while volume is trending down, or vice versa. Peer Momentum Heatmap (PMH): Calculates composite momentum scores for up to 6 symbols across 4 timeframes. Each score combines RSI (default: 14 periods) and StochRSI (default: 14 periods, 3-bar smooth) to create a momentum composite between -1 and +1. The highest absolute momentum score across all combinations is displayed in the HUD. Custom settings using Fractal Pivots, Skeleton Structure, Pulse Liquidity Voids, Bottom Colorful HeatMaps, and Iridescent Field. --- Visual Components Spectrum Aura Glow: ATR-weighted bands (default: 0.25x ATR) that expand and contract around price action, indicating volatility conditions. The thickness adapts to market volatility. Chromatic Flow Trail: A blended line combining EMA and WMA of price (default: 8-period EMA blended with WMA at 65% ratio). The trail uses gradient colors that shift based on a phase oscillator, creating an iridescent effect. Volume Heat Projection: Creates horizontal volume profile bands at price levels (default: 14 levels). Scans recent bars (default: 150 bars) to calculate volume concentration. Each level is colored based on its volume density relative to the maximum volume level. Structure Skeleton: Dashed lines connecting fractal pivot points. Uses two layers: a primary line (2-3px width) and an optional glow overlay (4-5px width) for enhanced visibility. Fractal Markers: Diamond shapes placed at pivot high and low points. Color-coded: primary color for highs, secondary color for lows. Iridescent Color Themes: Five color themes available: Iridescent (default), Pearlescent, Prismatic, ColorShift, and Metallic. Colors shift dynamically using a phase oscillator that cycles through the color spectrum based on bar index and a speed multiplier (default: 0.35). --- HUD Console Metrics The right-side HUD displays seven key metrics: Flow: Shows OFI status: ▲ FLOW BUY when normalized OFI exceeds imbalance threshold (default: 2.2), ▼ FLOW SELL when below -2.2, or ◆ FLOW BAL when balanced. Struct: Structure trend bias: ▲ STRUCT BULL when microtrend > 2, ▼ STRUCT BEAR when < -2, or ◆ STRUCT RANGE when neutral. Smart$: Institutional activity: ◈ ACCUM when smart money index = 1, ◈ DISTRIB when = -1, or ○ IDLE when inactive. Liquid: Liquidity state: ⚡ VOID when a liquidity void is detected, or ● NORMAL otherwise. Diverg: Divergence status: ⚠ ALERT when price/volume divergence detected, or ✓ CLEAR when aligned. PMH: Peer Momentum Heatmap status: Shows dominant timeframe and momentum score. Displays 🪩 for bull surge (above 0.55 threshold) or 🧨 for bear surge (below -0.55). FVG: Fair Value Gap status: Shows active gap count or CLEAR when no gaps exist. Displays GAP LONG when bullish gap detected, GAP SHORT when bearish gap detected. Pearlscent Color with Volume Heatmap. Parameters and Settings Microstructure Engine: Analysis Depth: 20-250 bars (default: 55) - Controls OFI smoothing period Liquidity Threshold ATR: 1.0-4.0 (default: 1.7) - Multiplier for void detection Imbalance Ratio: 1.5-6.0 (default: 2.2) - Standard deviations for OFI significance Smart Money Layer: Smart Money Window: 10-150 bars (default: 24) - Period for ROC calculations Accumulation Threshold: 40-95% (default: 65%) - Volume ROC threshold Structural Mapping: Fractal Pivot Period: 3-15 bars (default: 5) - Period for pivot detection Structure Memory: 2-8 levels (default: 4) - Number of structure points to track Volume Heat Projection: Heat Map Lookback: 60-400 bars (default: 150) - Bars to analyze for volume profile Heat Map Levels: 5-30 levels (default: 14) - Number of price level bands Heat Map Opacity: 40-100% (default: 92%) - Transparency of heat map boxes Heat Map Width Limit: 6-80 bars (default: 26) - Maximum width of heat map boxes Heat Map Visibility Threshold: 0.0-0.5 (default: 0.08) - Minimum density to display Iridescent Enhancements: Visual Theme: Iridescent, Pearlescent, Prismatic, ColorShift, or Metallic Color Shift Speed: 0.05-1.00 (default: 0.35) - Speed of color phase oscillation Aura Thickness (ATR): 0.05-1.0 (default: 0.25) - Multiplier for aura band width Chromatic Trail Length: 2-50 bars (default: 8) - Period for trail calculation Trail Blend Ratio: 0.1-0.95 (default: 0.65) - EMA/WMA blend percentage FVG Persistence: 50-600 bars (default: 320) - Bars to keep FVG boxes active Max Active FVG Boxes: 10-200 (default: 40) - Maximum boxes on chart FVG Base Opacity: 20-95% (default: 80%) - Transparency of FVG boxes Peer Momentum Heatmap: Peer Symbols: Comma-separated list of up to 6 symbols (e.g., "BTCUSD,ETHUSD") Peer Timeframes: Comma-separated list of up to 4 timeframes (default: "60,240,D") PMH RSI Length: 5-50 periods (default: 14) PMH StochRSI Length: 5-50 periods (default: 14) PMH StochRSI Smooth: 1-10 periods (default: 3) Super Momentum Threshold: 0.2-0.95 (default: 0.55) - Threshold for surge detection Clarity & Readability: Liquidity Void Opacity: 5-90% (default: 30%) Smart Money Footprint Opacity: 5-90% (default: 35%) HUD Background Opacity: 40-95% (default: 70%) Iridescent Field: Field Opacity: 20-100% (default: 86%) - Background color intensity Field Smooth Length: 10-200 bars (default: 34) - Smoothing for background gradient --- Alerts The indicator provides seven alert conditions: Liquidity Void Detected - Triggers when void conditions are met Strong Order Flow - Triggers when normalized OFI exceeds imbalance ratio Smart Money Activity - Triggers when accumulation or distribution detected Price/Volume Divergence - Triggers when divergence conditions occur Structure Shift - Triggers when structure polarity changes significantly PMH Bull Surge - Triggers when PMH exceeds positive threshold (if enabled) PMH Bear Surge - Triggers when PMH exceeds negative threshold (if enabled) Bull/Bear Prismatic FVG - Triggers when new FVG is detected (if FVG display enabled) --- Usage Considerations Performance may vary on lower timeframes due to the volume heat map calculations scanning multiple bars. Consider reducing heat map lookback or levels if experiencing slowdowns. The PMH feature requires data requests to other symbols/timeframes, which may impact performance. Limit the number of peer symbols and timeframes for optimal performance. FVG boxes automatically expire after the persistence period to prevent chart clutter. The maximum box limit (default: 40) prevents excessive memory usage. Color themes affect all visual elements. Choose a theme that provides good contrast with your chart background. The indicator is designed for overlay display. All visual elements are positioned relative to price action. Structure lines are drawn dynamically as new pivots form. On fast-moving markets, structure may update frequently. Volume calculations assume typical volume data availability. Symbols without volume may show incomplete data for volume-dependent features. --- Technical Notes Built on Pine Script v6 with dynamic request capability for PMH functionality. Uses exponential moving averages (EMA) and weighted moving averages (WMA) for trail calculations to balance responsiveness and smoothness. Volume profile calculation uses price level buckets. Higher levels provide finer granularity but require more computation. Iridescent color engine uses a phase oscillator with sine wave calculations for smooth color transitions. Box management includes automatic cleanup of expired boxes to maintain performance. All visual elements use color gradients and transparency for smooth blending with price action. --- Customization Examples Intraday Scalping Setup: Analysis Depth: 30 bars Heat Map Lookback: 100 bars FVG Persistence: 150 bars PMH Window: 15 bars Fast color shift speed: 0.5+ Macro Structure Tracking: Analysis Depth: 100+ bars Heat Map Lookback: 300+ bars FVG Persistence: 500+ bars Structure Memory: 6-8 levels Slower color shift speed: 0.2 --- Limitations Volume heat map calculations may be computationally intensive on lower timeframes with high lookback values. PMH requires valid symbol names and accessible timeframes. Invalid symbols or timeframes will return no data. FVG detection requires at least 3 bars of history. Early bars may not show FVG boxes. Structure lines connect points but do not predict future structure. They reflect historical pivot relationships. Color themes are aesthetic choices and do not affect calculation logic. The indicator does not provide trading signals. All visual elements are analytical tools that require interpretation in context of market conditions. Open Source This indicator is open source and available for modification and distribution. The code is published with Pine Script v6 compliance. Users are free to customize parameters, modify calculations, and adapt the visual elements to their trading needs. For questions, suggestions, or anything please talk to me in private messages or comments below! Would love to help! - officialjackofalltrades
อินดิเคเตอร์ Pine Script®
โดย officialjackofalltrades
Big Notional Volume Bubbles (Lower-TF Order Flow Approximation)Big Notional Volume Bubbles (Lower-TF Order Flow Approximation) ### Overview This indicator visualizes large notional trading activity by scanning lower-timeframe candles inside each chart bar and highlighting periods where unusually high traded value (volume × price) occurs. This script is intended to help short-term traders and scalpers identify bursts of aggressive activity, potential absorption zones, and areas of heightened participation, using standard OHLCV data. Important: This indicator does not access true market order tape or DOM data. It is an approximation based on lower-timeframe OHLCV data provided by TradingView. What the Indicator Shows Each bubble represents a lower-timeframe candle where traded notional value exceeds a user-defined threshold. Bubble size scales with the notional value of that candle. Green bubbles indicate the lower-timeframe candle closed higher (buy-side pressure approximation). Red bubbles indicate the lower-timeframe candle closed lower (sell-side pressure approximation). Bubbles can be plotted at candle closes or wick extremes for contextual analysis. How It Works 1. Lower-timeframe OHLCV data is requested using `request.security_lower_tf`. 2. Notional value is calculated as volume × price for each micro-candle. 3. The script selects the largest notional events per bar that exceed the minimum threshold. 4. These events are rendered as bubbles on the main price chart. Intended Use Cases Scalping and short-term trading Momentum ignition and continuation analysis Absorption and failed breakout detection Effort versus result analysis Confirmation at key structural levels Recommended Settings Lower timeframe: Start with 1 (1 minute). Seconds-based timeframes may not be supported on all feeds. Minimum notional (USD/USDT): BTC / ETH: 25,000 – 250,000 Mid-cap assets: 5,000 – 50,000 Adjust based on liquidity and volatility Max bubbles per bar: 3–8 to avoid visual clutter Limitations This indicator does not display individual market orders or aggressor-side execution. Buy/sell classification is inferred from candle direction, not bid/ask data. Lower-timeframe data availability depends on the selected symbol and exchange feed. This tool should not be used as a standalone signal generator. Best Practices Use in conjunction with market structure, VWAP, and key price levels. Focus on price behavior after a bubble appears rather than the bubble itself. Interpret bubbles as areas of interest, not directional guarantees.
อินดิเคเตอร์ Pine Script®
โดย shabahat_kazmi1
TRS (Trend Readiness System)TRS – Trend Readiness System TRS (Trend Readiness System) is a trend-aligned trading framework designed to help you identify stocks that are becoming ready for entry , not just those already breaking out. Instead of producing noisy buy/sell signals, TRS evaluates trend quality, pullback structure, momentum rebuilding, and market context , and converts them into clear scores, states, and timing awareness — both on the chart and inside the TradingView Screener. --- Core Philosophy Strong trends don’t start at the breakout — they start when conditions quietly align. TRS focuses on: • Primary trend alignment • Healthy pullbacks above long-term support • Early momentum recovery • Market regime confirmation • Entry timing (fresh vs late) --- What TRS Measures 1. Setup Score (Trend Quality) Answers the question: “Is this stock structurally worth watching?” Based on: • Price position relative to MA150 • Long-term trend direction • Higher-low structure • Distance from MA150 (overextension control) • Market regime (bullish / bearish) --- 2. Entry Score (Timing Quality) Answers the question: “Is the timing right — or still early?” Based on: • Short and mid-term moving averages • Pullback behavior • Momentum stabilization • Volume confirmation --- 3. General Score A combined readiness score used for ranking in the TradingView Screener: General Score = Setup Score + Entry Score --- Entry State Tracking (Key Feature) TRS tracks the full entry lifecycle , not just signals: • Valid Entry • Pending Entry (almost ready) • Bars Since Valid Entry • Entry Window (Fresh / Expired) • Entry Still Valid (Yes / No) This helps avoid chasing late or already-played setups. --- Market Regime Filter Signals automatically adapt to overall market conditions: • Market trend confirmation (e.g. SPY / QQQ) • Reduced false signals during weak markets • Clear explanation when setups are blocked --- Visual Dashboard (Optional) The on-chart dashboard can display: • General Score • Market state • Setup quality • Entry status • Entry window • Bars since entry • Blocking reason (if any) You can switch between: • Minimal mode – essential info only • Full table mode – detailed diagnostics --- Screener Integration TRS exposes clean numeric outputs for the TradingView Pine Screener: • Setup Score • Entry Score • General Score • Pending Entry (1 / 0) • Valid Entry (1 / 0) • Bars Since Valid Entry • Market Bullish (1 / 0) Example Screener Filters: • Setup Score ≥ 50 • Pending Entry = 1 • Bars Since Valid Entry ≤ 3 • Market Bullish = 1 --- How to Use TRS (Daily Routine) Step 1 – Scan • Look for high Setup Score • Prefer Pending Entry = 1 Step 2 – Review • Confirm pullback quality • Check MA150 support • Observe momentum rebuilding Step 3 – Act • Enter only on Valid Entry • Avoid expired entry windows • Skip setups blocked by market regime --- What TRS Is NOT • Not a breakout chaser • Not a day-trading system • Not signal spam TRS is a decision-support system for swing and position traders who value structure, context, and timing. --- Best Used On • Daily timeframe (1D) • Liquid stocks & ETFs • Trend-following strategies • Portfolio-level screening ---
อินดิเคเตอร์ Pine Script®
โดย mike_penzin
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes: Location of each datapoint in corresponding fields (price, time, volume) Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations Innovation in state space (in our case = volatility) The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool. As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD ... Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away. Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting. Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...). Signal weights: encode actuality/importance/relevance of datapoints. Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way! Signal = information. The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time. First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time. Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion. The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page. Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that. When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it. ^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script . Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility. Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns. Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments. Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else. ... It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request. ... ∞
อินดิเคเตอร์ Pine Script®
โดย gorx1
Shock Wave: EMA9 Slope / ATR (Normalized) for SPYShock Wave – EMA9 Slope Normalized by ATR (Fragility Gauge) This indicator measures trend fragility, not direction. Instead of relying on visual trendline angles (which change with zoom and chart scaling), this tool normalizes the slope of the 9-EMA by ATR, producing a scale-independent steepness metric that remains consistent across timeframes and zoom levels. The goal is to identify late-stage acceleration and liquidity vulnerability — conditions where price is advancing faster than inventory can rebalance and the market becomes sensitive to forced liquidation. What this indicator shows Normalized EMA9 slope (ATR per bar) An angle-like degree value derived from the normalized slope (for intuition only) Background shading to highlight trend maturity / fragility A compact table showing live readings on the chart How to interpret Green / low values (< ~0.30 ATR/bar): Healthy, sustainable trend Orange / mid values (~0.30–0.40 ATR/bar): Late-stage acceleration Red / high values (≥ ~0.45 ATR/bar): Fragile / liquidation-prone conditions These thresholds are empirically derived from historical index behavior (e.g., SPY prior to 2018, 2020, 2022 volatility events). Important notes This is not a buy or sell signal Red does not mean “short” The indicator highlights risk asymmetry, not timing Best used on higher timeframes (weekly) in conjunction with liquidity, inducement, and higher-timeframe structure analysis Why use this Markets often fail after strong trends, not because they are weak, but because they are crowded. This tool helps quantify when a trend has become structurally vulnerable, providing context for liquidity-based frameworks and macro risk management.
อินดิเคเตอร์ Pine Script®
โดย virgalwilliams
Maestro 4hThis indicator is designed to help traders analyze market trends and identify potential trading opportunities. It provides clear visual signals based on price behavior and technical calculations, allowing traders to better understand market structure, momentum, and direction. The indicator can be used on any market and timeframe, making it suitable for both intraday and swing trading. It is intended as a decision-support tool and should be used in combination with proper risk management and other forms of analysis.
อินดิเคเตอร์ Pine Script®
โดย raulerick351
Mod_Capital-Fibo🔥 Mk_Suhropbek_Fibo — Smart Fibonacci Trading Tool 🔥 Everyone draws Fibonacci. Only professionals use it correctly. 💎 Mk_Suhropbek_Fibo is an automated Fibonacci indicator that analyzes real market structure and displays only high-probability levels. 📊 How it works: — Analyzes the last 100 candles — Automatically detects market trend (BUY / SELL) — Draws Fibonacci levels in the correct direction — Clearly marks 0 / 0.236 / 0.382 / 1 / 1.618 (TP) ⏱ Designed for H1 and higher timeframes ✔️ No noisy scalping ✔️ Clean and readable charts ✔️ Suitable for real accounts and prop firms 🔄 Updates only every 25 bars — Keeps the chart clean — No constant redrawing — Focus on quality setups, not quantity 🎯 One setup = a complete trading scenario — Clear structure — Logical profit target (1.618) — No counter-trend trades 📈 Proven market logic — No overfitting — Reusable, consistent behavior — Discipline over emotions 🧠 Who is this indicator for? ✔️ Traders who use Fibonacci seriously ✔️ Those tired of guessing where to draw fib levels ✔️ Traders who treat trading as a business 🚫 No random entries ✅ Clear system ✅ Structured trading 📌 Mk_Suhropbek_Fibo — not prediction, but calculation.
อินดิเคเตอร์ Pine Script®
โดย Suhrop_Trade
Fundamental Dashboard [Standalone]Overview The Fundamental Strength Dashboard is a streamlined utility designed to evaluate the fundamental health of a stock directly on your chart. Instead of relying solely on price action, this indicator fetches real-time financial data to assess profitability, valuation, and financial stability. It aggregates five core financial metrics into a single "Fundamental Score" (0-5) and displays a clear rating (Strong Buy, Buy, Neutral, or Weak/Sell) in a customizable dashboard table. How It Works The script analyzes the following 5 Key Fundamental Metrics. For a stock to receive a "point" for a specific metric, it must meet the criteria defined in your settings: Net Income (Profitability): Checks if the company is actually profitable (Net Income > 0). EPS (Earnings Per Share): Ensures the company has positive Earnings Per Share (TTM). P/E Ratio (Valuation): Checks if the stock is valued reasonably compared to your maximum threshold (default: < 45). Debt-to-Equity (Leverage): Analyzes financial risk. Lower is better (default: < 0.5). ROE (Efficiency): Measures how effectively management uses equity to generate profit (default: > 15%). The Scoring System The indicator calculates a cumulative score based on how many of the above criteria are met: Score 5/5 → STRONG BUY: The stock meets all profitability, valuation, and stability criteria. Score 4/5 → BUY: The stock misses only one criterion but is otherwise fundamentally sound. Score 0-3 → WEAK / SELL: The stock fails multiple fundamental checks (e.g., negative earnings, high debt, or overvaluation). Features & Customization Every trader has different risk appetites and sector preferences. You can fully customize the thresholds in the Settings menu: Max P/E Threshold: Adjust this based on the sector (e.g., Tech stocks typically have higher P/Es than Utilities). Min ROE %: Set your requirement for management efficiency. Max Debt/Equity: Tighten or loosen leverage requirements. Visuals: Change the table position (Top Right, Bottom Right, etc.) and color scheme to match your chart theme. How to Use Add the indicator to your chart. Open the Settings (Gear icon). Adjust the Dynamic Thresholds to fit the sector you are trading. Look at the dashboard on the chart to see a snapshot of the stock's fundamental health. Disclaimer This script is for educational and informational purposes only. It relies on third-party financial data provided by TradingView, which may occasionally be missing or delayed. Always do your own research (DYOR) before making investment decisions.
อินดิเคเตอร์ Pine Script®
โดย arora_rohit0999
king//@version=5 indicator("BTC_QQQ_Crown_Indicator", overlay=true) // 1. MACD Numbers (8, 16, 11) = ta.macd(close, 8, 16, 11) // 2. Engulfing Candle Logic bull = close < open and open < close and close > open bear = close > open and open > close and close < open // 3. Crown Signal Condition crownBuy = bull and hist > hist crownSell = bear and hist < hist // 4. Drawing Crowns on Chart plotshape(crownBuy, title="Buy_Crown", style=shape.labelup, location=location.belowbar, color=color.yellow, size=size.normal, text="👑 BUY", textcolor=color.black) plotshape(crownSell, title="Sell_Crown", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.normal, text="👑 SELL", textcolor=color.white)
อินดิเคเตอร์ Pine Script®
โดย chwh95881
ES Multi-Timeframe SMC Entry SystemOverviewThis is a comprehensive Smart Money Concepts (SMC) trading strategy for ES1! (E-mini S&P 500) futures that provides simultaneous buy and sell signals across three timeframes: Daily, Weekly, and Monthly. It incorporates your complete entry checklists, confluence scoring system, and automated risk management.Core Features1. Multi-Timeframe Signal Generation Daily Signals (D) - For intraday/swing trades (1-3 day holds) Weekly Signals (W) - For swing trades (3-10 day holds) Monthly Signals (M) - For position trades (weeks to months) All three timeframes can trigger simultaneously (pyramiding enabled) 2. Smart Money Concepts ImplementationOrder Blocks (OB) Automatically detects bullish and bearish order blocks Bullish OB = Down candle before strong impulse up Bearish OB = Up candle before strong impulse down Validates freshness (< 10 bars = higher quality) Visual boxes displayed on chart Fair Value Gaps (FVG) Identifies 3-candle imbalance patterns Bullish FVG = Gap between high and current low Bearish FVG = Gap between low and current high Tracks unfilled gaps as targets/entry zones Auto-removes when filled Premium/Discount Zones Calculates 50-period swing range Premium = Upper 50% (short from here) Discount = Lower 50% (long from here) Deep zones (<30% or >70%) for higher quality setups Visual shading: Red = Premium, Green = Discount Liquidity Sweeps Sell-Side Sweep (SSL) = False break below lows → reversal up Buy-Side Sweep (BSL) = False break above highs → reversal down Marked with yellow labels on chart Valid for 10 bars after occurrence Break of Structure (BOS) Identifies when price breaks recent swing high/low Confirms trend continuation Marked with small circles on chart 3. Confluence Scoring SystemEach timeframe has a 10-point scoring system based on your checklist requirements:Daily Score (10 points max) HTF Trend Alignment (2 pts) - 4H and Daily EMAs aligned SMC Structure (2 pts) - OB in correct zone with HTF bias Liquidity Sweep (1 pt) - Recent SSL/BSL occurred Volume Confirmation (1 pt) - Volume > 1.2x 20-period average Optimal Time (1 pt) - 9:30-12 PM or 2-4 PM ET (avoids lunch) Risk-Reward >2:1 (1 pt) - Built into exit strategy Clean Price Action (1 pt) - BOS occurred FVG Present (1 pt) - Near unfilled fair value gap Minimum Required: 6/10 (adjustable)Weekly Score (10 points max) Weekly/Monthly Alignment (2 pts) - W and M EMAs aligned Daily/Weekly Alignment (2 pts) - D and W trends match Premium/Discount Correct (2 pts) - Deep zone + trend alignment Major Liquidity Event (1 pt) - SSL/BSL sweep Order Block Present (1 pt) - Valid OB detected Risk-Reward >3:1 (1 pt) - Built into exit Fresh Order Block (1 pt) - OB < 10 bars old Minimum Required: 7/10 (adjustable)Monthly Score (10 points max) Monthly/Weekly Alignment (2 pts) - M and W trends match Weekly OB in Monthly Zone (2 pts) - OB in deep discount/premium Major Liquidity Sweep (2 pts) - Significant SSL/BSL Strong Trend Alignment (2 pts) - D, W, M all aligned Risk-Reward >4:1 (1 pt) - Built into exit Extreme Zone (1 pt) - Price <20% or >80% of range Minimum Required: 8/10 (adjustable)4. Entry ConditionsDaily Long Entry ✅ Daily score ≥ 6/10 ✅ 4H trend bullish (price > EMAs) ✅ Price in discount zone ✅ Bullish OB OR SSL sweep OR near bullish FVG ✅ NOT during avoid times (lunch/first 5 min)Daily Short Entry ✅ Daily score ≥ 6/10 ✅ 4H trend bearish ✅ Price in premium zone ✅ Bearish OB OR BSL sweep OR near bearish FVG ✅ NOT during avoid timesWeekly Long Entry ✅ Weekly score ≥ 7/10 ✅ Weekly trend bullish ✅ Daily trend bullish ✅ Price in discount ✅ Bullish OB OR SSL sweepWeekly Short Entry ✅ Weekly score ≥ 7/10 ✅ Weekly trend bearish ✅ Daily trend bearish ✅ Price in premium ✅ Bearish OB OR BSL sweepMonthly Long Entry ✅ Monthly score ≥ 8/10 ✅ Monthly trend bullish ✅ Weekly trend bullish ✅ Price in DEEP discount (<30%) ✅ Bullish order block presentMonthly Short Entry ✅ Monthly score ≥ 8/10 ✅ Monthly trend bearish ✅ Weekly trend bearish ✅ Price in DEEP premium (>70%) ✅ Bearish order block present5. Automated Risk ManagementPosition Sizing (Per Entry) Daily: 1.0% account risk per trade Weekly: 0.75% account risk per trade Monthly: 0.5% account risk per trade Formula: Contracts = (Account Equity × Risk%) ÷ (Stop Points × $50) Minimum = 1 contractStop Losses Daily: 12 points ($600 per contract) Weekly: 40 points ($2,000 per contract) Monthly: 100 points ($5,000 per contract) Profit Targets (Risk:Reward) Daily: 2:1 = 24 points ($1,200 profit) Weekly: 3:1 = 120 points ($6,000 profit) Monthly: 4:1 = 400 points ($20,000 profit) Example with $50,000 AccountDaily Trade: Risk = $500 (1% of $50k) Stop = 12 points × $50 = $600 Contracts = $500 ÷ $600 = 0.83 → 1 contract Target = 24 points = $1,200 profit Weekly Trade: Risk = $375 (0.75% of $50k) Stop = 40 points × $50 = $2,000 Contracts = $375 ÷ $2,000 = 0.18 → 1 contract Target = 120 points = $6,000 profit Monthly Trade: Risk = $250 (0.5% of $50k) Stop = 100 points × $50 = $5,000 Contracts = $250 ÷ $5,000 = 0.05 → 1 contract Target = 400 points = $20,000 profit 6. Visual Elements on ChartKey Levels Previous Daily High/Low - Red/Green solid lines Previous Weekly High/Low - Red/Green circles Previous Monthly High/Low - Red/Green crosses Equilibrium Line - White dotted line (50% of range) Zones Premium Zone - Light red shading (upper 50%) Discount Zone - Light green shading (lower 50%) SMC Markings Bullish Order Blocks - Green boxes with "Bull OB" label Bearish Order Blocks - Red boxes with "Bear OB" label Bullish FVGs - Green boxes with "FVG↑" Bearish FVGs - Red boxes with "FVG↓" Liquidity Sweeps - Yellow "SSL" (down) or "BSL" (up) labels Break of Structure - Small lime/red circles Entry Signals Daily Long - Small lime triangle ▲ with "D" below price Daily Short - Small red triangle ▼ with "D" above price Weekly Long - Medium green triangle ▲ with "W" below price Weekly Short - Medium maroon triangle ▼ with "W" above price Monthly Long - Large aqua triangle ▲ with "M" below price Monthly Short - Large fuchsia triangle ▼ with "M" above price 7. Information TablesConfluence Score Table (Top Right) ┌──────────┬────────┬────────┬────────┐ │ TF │ SCORE │ STATUS │ SIGNAL │ ├──────────┼────────┼────────┼────────┤ │ 📊 DAILY │ 7/10 │ ✓ PASS │ 🔼 │ │ 📈 WEEKLY│ 6/10 │ ✗ WAIT │ ━ │ │ 🌙 MONTH │ 9/10 │ ✓ PASS │ 🔽 │ ├──────────┴────────┴────────┴────────┤ │ P&L: $2,450 │ └─────────────────────────────────────┘ Green scores = Pass (meets minimum threshold) Orange/Red scores = Fail (wait for better setup) 🔼 = Long signal active 🔽 = Short signal active ━ = No signal Entry Checklist Table (Bottom Right) ┌──────────────┬───┐ │ CHECKLIST │ ✓ │ ├──────────────┼───┤ │ ━ DAILY ━ │ │ │ HTF Trend │ ✓ │ │ Zone │ ✓ │ │ OB │ ✗ │ │ Liq Sweep │ ✓ │ │ Volume │ ✓ │ │ ━ WEEKLY ━ │ │ │ W/M Align │ ✓ │ │ Deep Zone │ ✗ │ │ ━ MONTHLY ━ │ │ │ M/W/D Align │ ✓ │ │ Zone: Discount│ │ └──────────────┴───┘ Green ✓ = Condition met Red ✗ = Condition not met Real-time updates as market conditions change 8. Alert SystemIndividual Alerts: "Daily Long" - Triggers when daily long setup appears "Daily Short" - Triggers when daily short setup appears "Weekly Long" - Triggers when weekly long setup appears "Weekly Short" - Triggers when weekly short setup appears "Monthly Long" - Triggers when monthly long setup appears "Monthly Short" - Triggers when monthly short setup appears Combined Alerts: "Any Long Signal" - Catches any bullish opportunity (D/W/M) "Any Short Signal" - Catches any bearish opportunity (D/W/M) Alert Messages Include: 🔼/🔽 Direction indicator Timeframe (DAILY/WEEKLY/MONTHLY) Current confluence score
กลยุทธ์ Pine Script®
โดย traekiw
EMA and Dow Theory Strategies V2📘 Overview This strategy is an advanced evolution of the original EMA × Dow Theory hybrid model. V2 introduces true swing‑based trend detection, gradient trend‑zones, higher‑timeframe swing overlays, and dynamic exit logic designed for intraday to short‑term trading across crypto, forex, stocks, and indices. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. 🧠 Key Features 🔹 1. Dual‑EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias. 🔹 2. Dow Theory Swing Detection (Real‑time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. 🔹 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive. 🔹 4. Higher‑Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. 🔹 5. RSI‑Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. 🔹 6. Dynamic Exit System Includes: Custom stop‑loss (%) Partial take‑profit (TP1/TP2/TP3) Automatic scale‑out when trend color weakens “Color‑change lockout” to prevent immediate re‑entry Real‑time PnL tracking and labels 🔹 7. Alerts for All Key Events Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts. 🔹 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments. ⚙️ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stop‑loss threshold Scale‑Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table 🧭 About htfTrend (Higher Timeframe Trend) The higher‑timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. 📘 概要 本ストラテジーは、V1 を大幅に拡張した EMA × ダウ理論 × スイング構造 × 上位足トレンド可視化 の複合型モデルです。 短期〜デイトレード向けに最適化されており、仮想通貨・FX・株式・指数など幅広いアセットで利用できます。 V2 では、スイング構造の自動検出、グラデーションによるトレンド強度の可視化、上位足スイングライン、動的な利確/損切りロジック が追加され、視覚的にもロジック的にも大幅に強化されています。 🧠 主な機能 🔹 1. 銘柄＋外部インデックスの EMA クロス判定 対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。 🔹 2. ダウ理論に基づくスイング高値・安値の自動検出 スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。 🔹 3. グラデーション背景によるトレンド強度の可視化 スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。 🔹 4. 上位足スイングトレンド（htfTrend）の表示 4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。 🔹 5. RSI による過熱・売られすぎフィルター 極端な RSI 状態でのエントリーを防止。 🔹 6. 動的イグジットシステム カスタム損切り（％） TP1/TP2/TP3 の段階的利確 トレンド色の弱まりによる自動スケールアウト 色変化後の再エントリー制限（waitForColorChange） リアルタイム PnL の追跡とラベル表示 🔹 7. アラート完備（JSON 形式） エントリー、損切り、部分利確、トレンド反転などすべてに対応。 🔹 8. 損益ラベル・統計表示 直近トレードの損益をチャート上に表示し、視覚的に把握できます。 ⚙️ 設定項目 設定項目名 説明 Fast / Slow EMA 銘柄の EMA 設定 Index Fast / Slow EMA 外部インデックスの EMA 設定 損切り（％） カスタム損切りライン 部分利確割合 トレンド弱化時のスケールアウト割合 RSI 期間・水準 過熱/売られすぎフィルター スイング検出期間 スイング高値・安値の検出に使用 統計表示位置 テーブルの表示位置 🧭 上位足トレンド（htfTrend）について 上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。 理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。 本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。 → 裁量で利確判断や逆張り回避に活用できます。
กลยุทธ์ Pine Script®
โดย mm_mitsuya
SilverHawk Trend Flow Part of SilverHawk Suite This script is designed to be used with the SilverHawk Suite workflow (context → trigger → confirmation → execution). It works standalone, but the highest accuracy comes from using the full suite together. Where it fits: • Role: Context What it does: Colors candles based on detected trend regime, so you trade with the prevailing direction and avoid fighting structure. How to use: • Bullish color: prefer long triggers only • Bearish color: prefer short triggers only • No clear trend / transition: stand down and wait for the suite trigger + confirmation Visual Tip: (important) If candles look “hidden”: Settings → Visual Order → Bring To Front Alerts: New Up Trend / New Down Trend alerts trigger on confirmed candles (non-repainting style). Suite note: For full workflow and loadouts, start with: “SilverHawk Suite — Start Here (Workflow Guide)” (free) Credits / License Based on PhantomFlow Trend Detector (MPL-2.0). This script remains MPL-2.0.
อินดิเคเตอร์ Pine Script®
โดย bader85
Market Exhaustion [WavesUnchained]Market Exhaustion Multi-oscillator exhaustion detector combining MFI + optional CCI, HTF bias, StochRSI timing, and a divergence engine with an Exhaustion Score (0-100). CORE CONCEPT - Detects exhaustion via regular divergences anchored on price pivots - Scores each divergence (0-100) using 5 components - Line width = quality, color = direction (never thicker than main line) OSCILLATOR MODES - MFI : Engine uses MFI only - CCI : Engine uses CCI mapped to 0-100 - MFI+CCI : Both plotted, engine source selectable (MFI or CCI) EXHAUSTION SCORE (0-100) 1. Sequence (Div 1/2/3...) - repeated attempts increase score 2. Fatigue - no new oscillator extreme over lookback 3. Formation Time - bars between pivots 4. Reaction - post-divergence bounce/drop vs ATR 5. Impulse - MFI/CCI delta + swing size DIVERGENCE ENGINE - Price-pivot anchored (LL/HH) with osc confirmation (HL/LH) - OS/OB gating with dynamic zones + fallback to 20/80 - Tolerant direction checks (price + osc eps) - Auto cleanup (max objects) HTF CONTEXT - Auto-HTF MFI bias label - Optional HTF filter for signals - Bias bonus (optional) for Exhaustion Score SIGNALS & TIMING - StochRSI timing + MFI zone confirmation - Context + timing signals (L/S markers) - Zone confirm bars VISUALIZATION - Color-coded MFI line (OB/OS/neutral) - Optional CCI (mapped 0-100) line - Divergence line width = quality, endpoint markers - Optional mid-label with score - Dynamic zones + optional fill BEST USE CASES - Reversal scouting at extremes - Filtering weak swings - 15M-4H swing exhaustion reads - HTF bias + divergence confluence Version: 1.0.0 Author: WavesUnchained Pine Script: v6
อินดิเคเตอร์ Pine Script®
โดย WavesUnchained
NeuralFlow Forecast Levels - User InputsThis is a companion indicator that plots AI-adaptive market equilibrium and expansion mapping levels directly on the SPY chart. NeuralFlow Forecast Levels are generated through a Artificial Intelligence framework trained to identify: Where price is statistically inclined to re-balance Where expansion zones historically exhaust rather than extend This is structure mapping, not prediction. ...................................................................................... What the Bands Represent? AI Equilibrium (white core) Primary weekly balance zone where price is most likely to mean-revert. Predictive Rails (aqua / purple) High-confidence corridor of institutional flow containment. Outer Zones (green / red) Expansion limits where continuation historically begins to decay. Extreme Zones (top / bottom) Rare deviation envelope where auction completion is statistically favored. .The engine updates only when underlying structure changes — not when candles fluctuate intraday. ................................................................................................................. Usage Context These levels are contextual reference zones, not entry signals. They are designed to answer: Where does price matter? Where does continuation weaken? Where does balance statistically reassert itself? Risk Disclaimer Educational and analytical use only. Not financial advice.
อินดิเคเตอร์ Pine Script®
โดย NeuralMarkets
Kira Buy Sell EMA & VWAP Trend IndicatorThis indicator provides buy and sell signals based on short-term momentum shifts while aligning trades with the broader market trend. Core logic: • Fast and slow EMAs are used to identify short-term momentum changes • VWAP is applied to confirm price acceptance in the trade direction • A higher-period EMA is used as a trend filter to reduce counter-trend signals Buy signals are generated when bullish momentum aligns with VWAP positioning and the prevailing trend. Sell signals are generated when bearish momentum aligns with VWAP and the broader trend direction. This approach keeps the logic simple and responsive while helping to avoid signals during unfavorable market conditions. Best suited for liquid stocks and indices on intraday timeframes such as 5-minute to 1-hour charts. This script does not repaint and is intended as a decision-support indicator, not a standalone trading system.
อินดิเคเตอร์ Pine Script®
โดย kirainvestors
ORB 5 Min Break & Retest + Alerts By KhanORB 5-Minute Break & Retest Indicator This indicator plots the high and low of the first 5-minute candle of the trading session (Opening Range). It then monitors price for a breakout above or below the ORB levels and triggers an alert when price retests the broken level and holds. Designed to help identify high-probability ORB continuation setups with clear visual levels and TradingView alerts. If you want, I can also: Make it even shorter (1–2 lines) Write a more detailed TradingView public script description Add a usage guide (rules + best timeframe) Disclaimer: This is general information only and not financial advice. For personal guidance, please talk to a licensed professional.
อินดิเคเตอร์ Pine Script®
โดย Khasan88
Minervini Template + Powerplay detectorMinervini Template + PowerPlay Detector This indicator implements a rule-based Minervini trend template to identify stocks in strong, institutionally supported uptrends, combined with a Power Play momentum detector for explosive leadership moves. Minervini Model (MM) Rules The MM dashboard turns GREEN only when all of the following rules are met: Close ≥ 150-day SMA Close ≥ 200-day SMA 50-day SMA > 150-day SMA 50-day SMA > 200-day SMA 150-day SMA ≥ 200-day SMA 200-day SMA is rising (current value higher than ~1 month ago) Close is at least 30% above the 52-week low Close is within 25% of the 52-week high Close is not more than 8% below the 50-day SMA These rules ensure: Proper long-term trend structure Institutional accumulation alignment Strength near highs, not extended weakness When MM is red, hovering over it shows exactly which rules failed, allowing quick diagnosis of why a stock does not qualify. POWERPLAY Logic POWERPLAY highlights rare, high-velocity leadership moves: Triggers when a stock gains 90% or more within any rolling window of up to 60 trading sessions Remains active as long as the condition continues to hold Hover tooltip displays: Start date of the move Current date Total percentage gain so far This captures fast institutional momentum, even if the move occurs in fewer than 60 sessions. Dashboard Features Moveable to any corner of the chart Adjustable size Adjustable opacity Designed for trend followers and momentum traders seeking true market leaders, not short-term noise or late-stage breakouts.
อินดิเคเตอร์ Pine Script®
โดย vikram_bains
QuantCrawler 5m ORB Pro - Opening Range with Confluence FiltersThis indicator captures the 5-minute Opening Range and generates entry signals using a breakout-then-retest methodology. It includes optional confluence filters to refine entries and reduce false signals. HOW IT WORKS 1. Captures the 5-minute Opening Range (high, low, midpoint) at your selected session open 2. Waits for price to break beyond OR high or low by your defined distance 3. After breakout, monitors for price to retest the OR midpoint 4. Signals LONG after bullish breakout + midpoint retest 5. Signals SHORT after bearish breakout + midpoint retest 6. Marks invalidated signals with (X) if price breaks through the opposite side PRE-CONFIGURED SESSIONS - NYSE - 9:30-9:35 ET - CME - 8:30-8:35 CT - London - 3:00-3:05 ET - Asia - 7:00-7:05 PM ET - Custom - Define your own session times and timezone BREAKOUT DISTANCE OPTIONS Choose between fixed points or percentage-based breakout threshold. Percentage mode automatically scales to the instrument price. CONFLUENCE FILTERS Optional filters to add confirmation before signals fire: - VWAP - Long requires price above VWAP, short requires below - EMA Slope - Confirms trend direction using 20-period EMA - Volume - Requires relative volume above 1.5x average - FVG - Requires a Fair Value Gap supporting trade direction - ATR - Filters Opening Ranges that are abnormally small or large relative to ATR When filters block a valid setup, the indicator displays a BLOCKED label so you can see what you missed and why. STATUS BOX Real-time display showing: - Current trade state (Building OR, Watching, Awaiting Retest, Long/Short Active) - OR High, Low, and Midpoint levels - Active filters and block reasons ALERTS Built-in alerts for Long Entry, Short Entry, or Any Entry.
อินดิเคเตอร์ Pine Script®
โดย QuantCrawler