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NQ Top 2025 Stocks Screener by ProjectSyndicate📊 NQ Top 2025 Stocks Screener (TradingView) — by ProjectSyndicate Executive Summary This document provides comprehensive documentation for the NQ TOP 2025 Stocks Screener, a powerful Pine Script™ indicator for TradingView. The screener is designed to give traders and investors a high-level overview of performance and advanced risk metrics for a curated list of 40 top-performing Nasdaq stocks in 2025. By presenting rich data in a clean, customizable dashboard, users can quickly: • Identify market leaders • Assess risk-adjusted returns • Make more informed trading decisions The script includes performance metrics across multiple timeframes, plus sophisticated risk and volatility parameters—such as the Kelly Criterion, Sharpe Ratio, and Z-Score—often found in professional-grade institutional tools. ________________________________________ ⭐ Top 10 Key Features # Feature Description 1 Curated Stock List Monitors a list of 40 hand-picked, high-performing Nasdaq stocks. 2 Multi-Timeframe Performance Tracks performance across 6 timeframes: Week, Month, Quarter, 6 Months, 12 Months, and YTD. 3 Advanced Risk Metrics Includes institutional-grade metrics: Beta, Sharpe, Sortino, Omega, Z-Score, Kelly%. 4 Dynamic Sorting Sort the dashboard by any of the 6 performance metrics to instantly find top movers. 5 Customizable Dashboard Control table position (Top/Middle/Bottom + Left/Center/Right) and text size (Small/Normal/Large). 6 Color-Coded Performance Uses a 7-level gradient (bright green → bright red) for quick strength/weakness scanning. 7 Merged Title Heading Full-width title at the top for a clean, professional dashboard look. 8 Daily Timeframe Lock Detects non-daily timeframes and prompts a switch to ensure calculation accuracy. 9 Clean & Readable Code Well-organized and commented for easier understanding and modification. 10 Lightweight & Efficient Optimized to run smoothly on TradingView with minimal lag. ________________________________________ 📖 Overview The NQ TOP 2025 Stocks Screener brings institutional-style market analysis to everyday traders. Instead of reviewing dozens of individual charts, it consolidates the most important data points for 40 Nasdaq stocks into a single, elegant dashboard—helping users save time and quickly spot opportunities while staying aware of risk. ________________________________________ 🛠️ Installation 1. Open TradingView and navigate to any chart. 2. Open the Pine Editor tab at the bottom of the screen. 3. Copy the entire script from NQ_TOP_2025_Stocks_Screener.pine. 4. Paste it into the Pine Editor (replacing any existing text). 5. Click Add to Chart. ✅ The dashboard will appear on your chart. 📌 Recommended timeframe: Daily (for accurate calculations). ________________________________________ 📊 Dashboard Layout (16 Columns) # Header Description 1 No. Rank of the stock based on the current sort order. 2 Ticker Stock ticker symbol. 3 Stock Name Company name. 4 Week% % price change over the last week. 5 Mnt% % price change over the last month. 6 Quarter% % price change over the current quarter. 7 6Mnt% % price change over the current 6 months. 8 12Mnt% % price change over the current 12 months. 9 YTD% % price change from the start of the current year. 10 Wk Vol Annualized weekly volatility. 11 Beta Volatility relative to Nasdaq-100 (QQQ). 12 Sharpe Sharpe Ratio (risk-adjusted return). 13 Sortino Sortino Ratio (downside-risk focused). 14 Omega Omega Ratio (probability of gains vs losses). 15 Z-Score Distance from mean in standard deviations. 16 Kelly% Kelly Criterion (theoretical optimal position sizing). ________________________________________ 🔬 Advanced Risk & Volatility Parameters This screener goes beyond basic performance to provide deeper risk insight. Parameter Description Wk Vol (Weekly Volatility) Annualized standard deviation of weekly returns. Higher = larger price swings. Beta Volatility vs Nasdaq-100 (QQQ). Beta > 1 = more volatile than index; Beta < 1 = less volatile. Sharpe Ratio Excess return per unit of total volatility. Higher = better risk-adjusted return. Sortino Ratio Like Sharpe, but only uses downside volatility (penalizes harmful volatility). Omega Ratio Probability-weighted gains vs losses relative to a threshold. Higher = more favorable return distribution. Z-Score How far a value is from its mean (in standard deviations); helps detect extremes vs average behavior. Kelly% (Kelly Criterion) Suggests an optimal allocation % based on performance and variance (theoretical position sizing). ________________________________________ ⚙️ Customization (Settings Menu) You can customize the dashboard appearance and behavior via the script settings: • Table Position: Choose vertical (Top/Middle/Bottom) and horizontal (Left/Center/Right) placement • Text Size: Small / Normal / Large • Sort By: Select the primary sorting column from any of the 6 performance metrics ________________________________________ 📋 Stock List (40 Nasdaq Stocks) The screener includes the following top-performing Nasdaq stocks in 2025: HYMC, CELC, TERN, AUGO, ONDS, ERAS, ASTS, GRAL, SATS, WDC, COGT, ATRO, OPEN, VSAT, APLD, LASR, PRAX, ALMS, MU, TTMI, ARWR, LITE, CIFR, SSRM, FTAI, MLYS, KTOS, GPCR, RKLB, STX, NVTS, VISN, EOSE, RVMD, LQDA, PPTA, WBD, INDV, ACMR, BLTE
Pine Script® indicator
by ProjectSyndicate
14
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Pine Script® indicator
by wsajunaz
ADR from 50 SMA - Histogram & LabelMore inside the script INDICATOR PURPOSE: This indicator measures how far price has moved from the 50-period SMA in terms of Average Daily Range (ADR). It helps identify: - When stocks are overextended and may be due for pullback/consolidation - Potential entry/exit points based on momentum extremes - Position trimming opportunities when price is stretched INTERPRETATION: - Positive values = Price is ABOVE the 50 SMA - Negative values = Price is BELOW the 50 SMA - Higher absolute values = More extreme/stretched moves - Values >2 or <-2 typically indicate overextended conditions
Pine Script® indicator
by Yen_Yen_
laurent//@version=5 indicator("Big Candle + Squeeze Dots (ATR + RSI + MACD + BB)", overlay=true, timeframe="", timeframe_gaps=true) //--------------------------- // Inputs //--------------------------- lenATR = input.int(14, "Période ATR") multATR = input.float(2.5, "Grosse bougie : range > ATR * X", step=0.1) lenBodyMA = input.int(20, "Période moyenne de corps") useBodyMA = input.bool(true, "Filtrer par corps > moyenne") // RSI / MACD lenRSI = input.int(14, "Période RSI") rsiOB = input.float(60, "RSI haussier min") rsiOS = input.float(40, "RSI baissier max") fastMACD = input.int(12, "MACD fast") slowMACD = input.int(26, "MACD slow") sigMACD = input.int(9, "MACD signal") // Squeeze Bollinger bbLen = input.int(20, "Période Bollinger") bbMult = input.float(2.0, "Ecart-type Bollinger", step=0.1) squeezeLen = input.int(20, "Période moyenne largeur BB") squeezeMult = input.float(0.7, "Seuil squeeze (largeur BB < moyenne * X)", step=0.05) // Filtres requireMomentum = input.bool(true, "Exiger RSI + MACD") requireSqueeze = input.bool(true, "Exiger un squeeze juste avant") squeezeLookback = input.int(5, "Nb de bougies max depuis squeeze", minval=1, maxval=50) //--------------------------- // Calculs de base //--------------------------- atr = ta.atr(lenATR) rangeC = high - low body = math.abs(close - open) // moyenne de corps bodyMA = ta.sma(body, lenBodyMA) // RSI rsi = ta.rsi(close, lenRSI) // MACD macdVal = ta.ema(close, fastMACD) - ta.ema(close, slowMACD) macdSig = ta.ema(macdVal, sigMACD) macdHist = macdVal - macdSig //--------------------------- // Bollinger Bands + Squeeze //--------------------------- basis = ta.sma(close, bbLen) dev = bbMult * ta.stdev(close, bbLen) upper = basis + dev lower = basis - dev bbWidth = (upper - lower) / basis bbWidthMA = ta.sma(bbWidth, squeezeLen) // squeeze = largeur BB inférieure à une fraction de sa moyenne isSqueeze = bbWidth < bbWidthMA * squeezeMult // Nombre de barres depuis le dernier squeeze barsSinceSqueeze = ta.barssince(isSqueeze) // Condition : on considère qu'on sort d'une zone de squeeze récente hadRecentSqueeze = barsSinceSqueeze >= 0 and barsSinceSqueeze <= squeezeLookback //--------------------------- // Conditions Wide Range Candle //--------------------------- // 1) Bougie large vs ATR wideByATR = rangeC > atr * multATR // 2) Bougie large vs moyenne de corps (optionnel) wideByBody = useBodyMA ? body > bodyMA : true wideCandle = wideByATR and wideByBody //--------------------------- // Direction + momentum //--------------------------- bullBody = close > open bearBody = close < open bullMomentum = (rsi > rsiOB) and (macdHist > 0) bearMomentum = (rsi < rsiOS) and (macdHist < 0) condMomentumBull = requireMomentum ? bullMomentum : true condMomentumBear = requireMomentum ? bearMomentum : true condSqueeze = requireSqueeze ? hadRecentSqueeze : true bullCond = wideCandle and bullBody and condMomentumBull and condSqueeze bearCond = wideCandle and bearBody and condMomentumBear and condSqueeze //--------------------------- // Affichage des points discrets //--------------------------- // Petit point vert sous la bougie = grosse bougie haussière plotshape(bullCond, title="Big Bull Candle (Squeeze + Mom.)", style=shape.circle, location=location.belowbar, color=color.new(color.lime, 0), size=size.tiny) // Petit point rouge au-dessus de la bougie = grosse bougie baissière plotshape(bearCond, title="Big Bear Candle (Squeeze + Mom.)", style=shape.circle, location=location.abovebar, color=color.red, size=size.tiny)
Pine Script® indicator
by laupilot
[PAPI] TF-OBV-ATR-Weighted MACDThis is a MACD indicator with a few differences: Multi-Timeframe: The indicator calculates the "MACD", the "Signal" and the "Histogram" for four user-defined timeframes. Volume weighted: The three MACD variables calculated for each timeframe above are weight-averaged according to On Balance Volume (OBV). Volatility weighted: The three MACD variables calculated for each time frame above are also weight-averaged according to Average True Range (ATR) The MACD, Signal and Histogram are plotted. I use the indicator twice. Once with the user defined Timeframes set to high TFs (Month/Week/Day/4h) - this is for directional bias. And once with lower TFs (1m/3m/15m/1h).
Pine Script® indicator
by papichulo2x69
Right-Side Master Pro: Adaptive Trend SystemHere is a professional English introduction for your strategy, tailored for a TradingView description, portfolio presentation, or documentation. I have provided two versions: a Concise Summary (for quick reading) and a Detailed Technical Breakdown (for in-depth explanation). Option 1: Concise Summary (Best for TradingView Description) Strategy Name: Right-Side Master Pro: A Systematic Trend-Following System Description: Built on the timeless principles of trading legends like Jesse Livermore, William O'Neil, and Mark Minervini, the Right-Side Master Pro is a pure trend-following system designed to prioritize confirmation over prediction. This strategy does not guess bottoms; it waits for specific momentum breakouts (Donchian Channels) aligned with institutional moving averages. Its core edge lies in its "Market Regime Filter," which restricts long positions on altcoins unless Bitcoin is in a confirmed uptrend (above the 200 EMA), effectively shielding capital during bear markets. Key Features: The "M" Filter: Automatically filters out bad market environments by tracking BTC trend health. Hybrid Exit Strategy: Secures wins by closing 50% of the position at a 2R (Reward/Risk) target, while letting the remainder ride the "fat tail" trends with a dynamic trailing stop. Capital Efficiency: Implements a "Time Stop" to cut stagnant trades that fail to launch within 5 bars, keeping capital active. Volatility Sizing: Dynamically adjusts position size based on ATR, ensuring consistent risk exposure regardless of market volatility. Option 2: Detailed Technical Breakdown (Best for Documentation) Title: The Right-Side Master Pro Edition Overview The Right-Side Master Pro is a sophisticated algorithmic trading strategy engineered for the cryptocurrency markets. It automates the "Right-Side Trading" philosophy, focusing on entering established trends during high-momentum breakouts while maintaining strict defensive protocols. Core Logic & Mechanisms 1. Trend & Environment Filtering (The "M" Factor) Following O'Neil's CAN SLIM principle on Market Direction, this strategy incorporates a Bitcoin Regime Filter. Logic: It monitors Bitcoin’s price relative to its 200-period EMA. Effect: If BTC is bearish, the strategy disables all long signals for altcoins, preventing "catching falling knives" during systemic corrections. 2. Precision Entry (Momentum) Trigger: Utilizes a Donchian Channel Breakout (20-period high) to identify genuine strength. Trend Template: Entries are only valid if the short-term EMA (20) is above the long-term EMA (50), confirming a Stage 2 uptrend structure. 3. Advanced Risk Management Volatility Sizing: Position size is calculated mathematically using Risk % / (2 * ATR), ensuring that high-volatility coins receive smaller allocations and stable coins receive larger ones. Time Stop: Adhering to the "Time is Money" principle, the strategy forces an exit if the price fails to move away from the cost basis within 5 candles, eliminating dead money. 4. Hybrid Execution (The "Free Roll") Take Profit 1 (TP1): Automatically liquidates 50% of the position when the price hits a 2:1 Reward-to-Risk ratio. This banks profit and reduces psychological pressure. Trailing Stop: The remaining 50% is managed with a loose ATR-based trailing stop, designed to capture outlier trends (100%+ moves) without being shaken out by intraday noise. Recommended Configurations Daily Timeframe (1D): For conservative, high-win-rate growth using leverage (2x-3x). 4-Hour Timeframe (4H): For aggressive, high-turnover growth using spot or low leverage (1x).
Pine Script® strategy
by localhost20000
Whale Hunter V121. Overview Whale Hunter V12 is a specialized Pine Script indicator designed for high-precision scalping (1m, 5m timeframes) on Futures and Crypto markets. Unlike standard indicators that lag, V12 focuses on Volume Spread Analysis (VSA) and Order Flow to detect institutional "Whale" activity. Its "Precision Engine" filters out low-volatility churn and fake signals by enforcing strict volatility gates (ATR) and volume thresholds. 2. The Logic: How Scoring Works (0-12 Points) Every candle is analyzed and given a "Confluence Score" from 0 to 12. A signal is only generated if the score meets your minimum threshold (Default: 8). Component Max Points Logic A. Volume Spike 4 pts Measures relative volume vs. 20-period average. • 2.0x Vol = 2 pts • 3.0x Vol = 3 pts • 5.0x Vol = 4 pts (Whale) B. Trend (VWAP) 3 pts Checks alignment with Volume Weighted Average Price. • Buy above VWAP = +3 pts • Sell below VWAP = +3 pts C. Absorption Wick 3 pts Measures the rejection wick vs. candle body. • Wick > 1.5x Body = 1 pt • Wick > 50% Range = 2 pts • Wick > 65% Range = 3 pts (Hammer/Shooting Star) D. CVD Divergence 2 pts Checks if momentum contradicts price. • Price Lows lower + Volume Flow Higher = +2 pts (Bullish Divergence) E. Penalties -3 pts The Fakeout Killer: • Buying on a Red Candle = -3 pts • Selling on a Green Candle = -3 pts 3. Settings & Configuration You can customize the strictness of the engine in the indicator settings menu. A. Signal Precision Minimum Score to Show (Default: 8) 8-12: "Sniper Mode." Shows only high-probability setups trading with the trend (VWAP aligned). 6-7: "Scout Mode." Shows counter-trend reversals and riskier scalps. < 5: Not recommended (Too much noise). Ignore Small Candles (ATR %) (Default: 0.5) The "Churn Filter". It ignores any candle smaller than 50% of the average size. Increase to 0.8 if you are getting too many signals during flat/choppy markets. B. Volume Logic Strict Volume (Default: ON) When checked, the script blocks any signal with less than 2.0x average volume, regardless of the score. This ensures you only trade when Whales are actually present. 4. How to Read the Signals 🟢 Bullish Signal (Buy) Symbol: Green Triangle below the bar. Condition: Score ≥ 8. The Whale absorbed selling pressure (Wick) on high volume, likely creating a "Bear Trap." Ideal Setup: Price is Above the Blue Line (VWAP) + Green Arrow. Stop Loss: Just below the low of the signal candle (the wick). 🔴 Bearish Signal (Sell) Symbol: Red Triangle above the bar. Condition: Score ≥ 8. The Whale absorbed buying pressure (Wick) on high volume, likely creating a "Bull Trap." Ideal Setup: Price is Below the Blue Line (VWAP) + Red Arrow. Stop Loss: Just above the high of the signal candle. 🔵 Blue Line (VWAP) This is your "Trend Anchor." Do not Short if price is significantly above the Blue Line. Do not Long if price is significantly below the Blue Line. 5. Troubleshooting / FAQ Q: Why did a signal disappear? A: The script repaints only during the live candle. Once a candle closes, the signal is permanent. If a signal vanishes before close, it means the volume or price action changed last second (e.g., the candle turned Red, triggering the -3 penalty). Q: Why are there no signals on my chart? A: You are likely in a low-volume period (Lunch hour / Late night). The Strict Volume filter is doing its job by keeping you out of dead markets. Alternatively, lower the Minimum Score to 6. Q: Can I use this on 1-minute timeframes? A: Yes, but increase the ATR Filter to 0.6 or 0.7 to filter out the micro-noise common on 1m charts.
Pine Script® indicator
by zakalj
Advanced Trend finder by S B PrasadAdvanced Trend finder – by S B Prasad A Professional Multi-Engine Trend, Breakout & Scalping System Advanced Trend Navigator is a powerful all-in-one trading indicator that fuses smart EMA trend detection, adaptive multi-filters, ribbon trend analysis, automatic trend channels, divergence detection, and built-in SL/Target projection into a single, visually intuitive system. It is engineered for both scalpers and swing traders, with special optimization for 1-minute and 5-minute charts, while remaining highly reliable on higher timeframes. 🔹 What Makes This Indicator Unique? Unlike single-logic indicators, Advanced Trend Navigator uses a dual-engine + structure-based approach: EMA Smart Signal Engine → detects trend, reversals, and momentum shifts Ribbon + Trend Channel Engine → confirms structure, breakouts, and continuation Adaptive Filters + Divergence → remove noise and boost confidence Risk Engine (SL/TP) → projects structured trade exits This confluence-based design dramatically reduces false signals. 🔹 Core Features 1️⃣ Smart EMA Trend Engine Dual EMA crossover system (Fast & Slow) Automatic optimization for 1-minute timeframe Detects: Trend direction Trend reversals Momentum shifts 2️⃣ Multi-Layer Signal Filters Signals are validated using a powerful adaptive filter stack: Volume Filter (above-average volume confirmation) RSI Filter with dynamic buy/sell thresholds Bollinger Bands (overbought / oversold zones) Momentum Filter (ROC-based strength detection) Volatility Adaptation (ATR-based regime detection) These filters dramatically reduce noise and false entries. 3️⃣ RSI Divergence Detection (1-Minute Optimized) Bullish and bearish divergence detection Automatic confidence boost when divergence appears Helps identify early reversals and exhaustion zones 4️⃣ Enhanced Signal Logic Signals are generated using a confluence of: EMA crossovers Candle direction Volume + RSI + BB + Momentum Divergence + trend-change logic Separate logic is used for: 1-minute scalping Higher-timeframe trend trading 5️⃣ Ribbon Trend System (CoraWave + LazyLine) Advanced smoothed ribbon using: CoraWave (fast line) LazyLine (slow line) Dynamic color-changing trend visualization Ribbon fill highlights: Strong bullish zones Strong bearish zones Neutral / transition phases 6️⃣ Automatic Trend Channel Pivot-based dynamic trend channels ATR-adjusted channel width Auto-extended support & resistance structure Visual map of evolving trend direction 7️⃣ Buy / Sell Breakout Signals (No-Spam Logic) Signals only when: Ribbon trend agrees Price breaks channel boundaries Built-in cooldown filter to prevent over-trading Separate engine from EMA signals for dual confirmation 8️⃣ Built-In SL / Target Projection Automatic Stop-Loss based on channel boundary Risk-based Target 1 and Target 2 (R-multiples) Dynamic plotting of: SL line Target 1 line Target 2 line 9️⃣ Smart Time & Profit Projection ATR-based time-to-move estimation Dynamic profit potential estimation Displays: Expected move duration (minutes) Approximate profit projection 🔟 Confidence Scoring System Dynamic confidence % for each signal Automatically increases when: Divergence is detected Bollinger extremes are triggered 🎨 Visual & Usability Features Color-coded: EMA lines Ribbon trend Trend channels Background trend bias Dynamic: LONG / SHORT arrows Signal labels with confidence + projection Current trend status box 🔔 Alerts Included EMA-based LONG / SHORT alerts Ribbon fast/slow trend change alerts Channel breakout BUY / SELL alerts Alert messages include: Symbol Confidence % Time projection ⚡ Recommended Presets 🟢 1-Minute Scalping Fast EMA: 3 | Slow EMA: 8 Volume Filter: ON (1.1) RSI: ON Bollinger Bands: ON Momentum: ON Volatility Adaptation: ON Ribbon: 10 / 3 / 15 Channel: Pivot 5 | ATR 14 | Width 1.5 Cooldown: 20 Targets: 1R & 2R 🔵 5-Minute Scalping (Author Preset) Fast EMA: 5 | Slow EMA: 13 Volume Filter: ON (1.2) RSI: OFF Bollinger Bands: ON Momentum: OFF Volatility Adaptation: OFF Ribbon: 12 / 3 / 18 Channel: Pivot 7 | ATR 14 | Width 1.7 Cooldown: 25 Targets: 1R & 2.5R 🟣 Swing Trading (15m–1H) Fast EMA: 9 | Slow EMA: 21 Filters: All OFF Ribbon: 15 / 5 / 25 Channel: Pivot 10 | ATR 14 | Width 2.0 Cooldown: 40 Targets: 1.5R & 3R 🎯 How to Trade This Indicator BUY Setup: Fast EMA > Slow EMA Ribbon is green and rising Price breaks above upper channel Volume filter passes Buy arrow appears SELL Setup: Fast EMA < Slow EMA Ribbon is red and falling Price breaks below lower channel Volume filter passes Sell arrow appears ❌ Avoid Trades When Ribbon is flat or mixed colors Channel is very narrow Price is inside the channel Volume filter fails Market is extremely choppy ⚠️ Disclaimer This indicator is a technical analysis tool, not financial advice. Always use proper risk management and confirm signals with market context. Past performance does not guarantee future results.
Pine Script® indicator
by ritaprasad43
Linear Regression CVDHow to Read It: Rising CVD: Aggressive buyers are in control (Market Buys > Market Sells). Falling CVD: Aggressive sellers are in control (Market Sells > Market Buys). Key Trading Strategy (Divergence): The most powerful way to use CVD is to look for Divergences: Bearish Divergence (Absorption): Price makes a New High, but CVD makes a Lower High. Meaning: Price is rising, but aggressive buying power is drying up. Limit sellers are absorbing the buys. A reversal may be coming. Bullish Divergence (Absorption): Price makes a New Low, but CVD makes a Higher Low. Meaning: Price is dropping, but aggressive selling is weakening. Limit buyers are stepping in.
Pine Script® indicator
by qr9988
Mean Reversion Oleg📘 Description This script is an extended and customized version of the original “Mean Reversion V‑F” created by the respected author fullmax. I adapted the logic for my own trading workflow and added several improvements aimed at stability, automation, and exchange‑safe execution when using webhooks. 🔧 Key Enhancements Lot precision control (prevents exchange errors when sending webhook orders) Base order labels for visual clarity Mini‑table with live position metrics Dynamic deviation levels (L1–L5) Static averaging levels (B2–B5) Trailing take‑profit option Support for stock mode (fixed units instead of quantity) Webhook fields for entry and exit signals 🎯 How the Strategy Works The script calculates a moving average and builds five deviation‑based levels below it. When price reaches these levels, the strategy opens a base order (B1) and then averages the position using B2–B5 levels. After entering a position, the strategy manages it using: a fixed take‑profit target or an optional trailing take‑profit plus a visual table showing position size, USD value, open PnL, and equity All quantities are rounded according to the selected lot precision to ensure compatibility with exchange requirements when using webhook automation. ⚙️ Features Overview Automated long entries based on deviation levels Configurable order sizes for each averaging step Optional stock‑mode (units instead of calculated quantity) Dynamic and static level visualization Trailing TP with adjustable distance Clean UI with optional labels and mini‑table 📝 Disclaimer This script is provided for educational purposes only. It does not constitute financial advice and does not guarantee profits. Always test strategies on historical data before using them in live trading.
Pine Script® strategy
by olegask68
EMA 55 Cross + Retest BuyStrategy Overview: The "Breakout & Retest" The 55-period EMA is widely considered a "mid-term" trend indicator. On a daily (1D) timeframe, it represents the average price of the last 11 weeks of trading. Phase 1: The Bullish Breakout The script identifies when the price closes above the EMA 55. This indicates a potential shift from a bearish/neutral trend to a bullish one. Phase 2: The Cooling Period (Window) The script starts a "lookback window" (defaulting to 7 days). It waits for the price to naturally pull back toward the moving average. Phase 3: The Successful Retest The Buy Signal is triggered when the candle's Low touches or slightly pierces the EMA, but the Close remains above it. This shows that the EMA is acting as "Dynamic Support" and buyers are defending that level.
Pine Script® indicator
by ymtraders
200 EMA mit versetztem LabelThe 200 EMA Indicator is one of the most widely respected and frequently used technical analysis tools among traders across all markets. Whether applied to stocks, cryptocurrencies, forex, or indices, the 200-period Exponential Moving Average serves as a critical benchmark for identifying long-term trends, market direction, and key support and resistance levels. www.skool.com This indicator is designed to provide traders with a clear, visually intuitive way to understand market structure and make more informed trading decisions. By focusing on long-term price behavior rather than short-term noise, the 200 EMA helps filter out unnecessary signals and keeps traders aligned with the dominant trend. What Is the 200 EMA? The Exponential Moving Average (EMA) is a type of moving average that places greater weight on recent price data. This makes it more responsive to current market conditions compared to a Simple Moving Average (SMA), which treats all historical prices equally. The 200 EMA calculates the average price over the last 200 periods while emphasizing the most recent candles. Because of this long lookback period, the 200 EMA is primarily used as a long-term trend indicator rather than a short-term trading signal. Many professional traders and institutions consider the 200 EMA to be a dividing line between bullish and bearish market conditions. Why the 200 EMA Is So Important The 200 EMA has gained its significance not by coincidence, but through decades of consistent use across financial markets. Its importance lies in the way market participants collectively react to it. Key reasons traders rely on the 200 EMA include: It defines the overall market trend It acts as dynamic support and resistance It helps filter trades in the direction of higher probability It provides objective structure in trending and ranging markets When many traders observe the same level, it often becomes self-fulfilling. As a result, price reactions around the 200 EMA are frequently strong and meaningful. How the 200 EMA Indicator Works The indicator plots a single exponential moving average line calculated using 200 periods of price data. Because it adapts dynamically to price movements, the 200 EMA smoothly follows long-term price direction without reacting excessively to short-term volatility. Trend Identification Price above the 200 EMA indicates a bullish market environment Price below the 200 EMA suggests a bearish market environment This simple rule alone helps traders avoid counter-trend positions and focus on trades aligned with the broader market direction. Dynamic Support and Resistance One of the most valuable characteristics of the 200 EMA is its role as dynamic support and resistance. In uptrends, price often pulls back toward the 200 EMA before continuing higher In downtrends, price frequently rejects from the 200 EMA before moving lower Unlike static horizontal levels, the 200 EMA adapts to changing market conditions, making it especially useful in trending markets. Trade Filtering and Strategy Alignment The 200 EMA Indicator is commonly used as a trade filter rather than a standalone entry signal. By defining the dominant trend, it allows traders to: Look for long setups only when price is above the 200 EMA Look for short setups only when price is below the 200 EMA Avoid low-probability trades against the prevailing market direction This approach helps improve consistency and reduces emotional decision-making. Multi-Timeframe Applicability The 200 EMA works effectively on all timeframes: Higher timeframes (Daily, Weekly): Long-term market bias and macro trend Medium timeframes (4H, 1H): Swing trading and trend continuation setups Lower timeframes (15m, 5m): Intraday structure and directional filtering Traders often combine the 200 EMA from higher timeframes with entries on lower timeframes to increase confluence and confidence.
Pine Script® indicator
by XbnPP12
Pivots + FVG + Liquidity Sweeps (Smart Entry)//@version=5 indicator("Pivots + FVG + Liquidity Sweeps (Smart Entry)", overlay=true, max_labels_count=500, max_boxes_count=500) // ===== INPUTS ===== pivotLeft = input.int(5, "Pivot left bars", minval=1) pivotRight = input.int(5, "Pivot right bars", minval=1) sweepLookback = input.int(20, "Lookback for sweep detection (bars)") sweepAtrMultiplier = input.float(1.0, "Sweep strength (ATR multiplier)") fvg_max_age = input.int(200, "FVG box expiry (bars)") show_pivots = input.bool(true, "Show pivot markers") show_sweeps = input.bool(true, "Show liquidity sweeps") show_fvgs = input.bool(true, "Show FVG boxes") require_sweep_for_entry = input.bool(false, "Require recent sweep for smart entry") confirmation_type = input.string("Bullish/Bearish Engulf", "Confirmation type", options= ) fvg_min_width = input.int(1, "Min FVG width (ticks)", minval=0) // ===== ATR ===== atrLen = input.int(14, "ATR length") atr = ta.atr(atrLen) // ===== PIVOTS ===== ph = ta.pivothigh(high, pivotLeft, pivotRight) pl = ta.pivotlow(low, pivotLeft, pivotRight) if show_pivots if not na(ph) label.new(bar_index - pivotRight, ph, "PH", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small) if not na(pl) label.new(bar_index - pivotRight, pl, "PL", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small) // ===== FVG STRUCT ===== type FVG float top float bottom int born_bar bool bullish var FVG fvgs = array.new() var box fvgBoxes = array.new() // ===== FVG DETECTION ===== if barstate.isconfirmed prevHigh = high prevLow = low if low > prevHigh and (low - prevHigh) >= syminfo.mintick * fvg_min_width array.push(fvgs, FVG.new(low, prevHigh, bar_index, true)) if high < prevLow and (prevLow - high) >= syminfo.mintick * fvg_min_width array.push(fvgs, FVG.new(prevLow, high, bar_index, false)) // cleanup old FVGs for i = array.size(fvgs) - 1 to 0 f = array.get(fvgs, i) if bar_index - f.born_bar > fvg_max_age array.remove(fvgs, i) // ===== DRAW FVG BOXES ===== if show_fvgs for i = 0 to array.size(fvgBoxes) - 1 box.delete(array.get(fvgBoxes, i)) array.clear(fvgBoxes) for i = 0 to array.size(fvgs) - 1 f = array.get(fvgs, i) col = f.bullish ? color.new(color.green, 85) : color.new(color.red, 85) bx = box.new(f.born_bar, f.top, bar_index, f.bottom, bgcolor=col, border_width=0) array.push(fvgBoxes, bx) // ===== LIQUIDITY SWEEPS ===== var int lastBullSweepBar = na var int lastBearSweepBar = na priorHigh = ta.highest(high , sweepLookback) priorLow = ta.lowest(low , sweepLookback) bullSweep = high > priorHigh + sweepAtrMultiplier * atr and close < priorHigh bearSweep = low < priorLow - sweepAtrMultiplier * atr and close > priorLow if barstate.isconfirmed if bullSweep lastBullSweepBar := bar_index if show_sweeps label.new(bar_index, high, "Bull Sweep", style=label.style_label_down, color=color.orange, textcolor=color.white, size=size.small) if bearSweep lastBearSweepBar := bar_index if show_sweeps label.new(bar_index, low, "Bear Sweep", style=label.style_label_up, color=color.orange, textcolor=color.white, size=size.small) // ===== CONFIRMATION ===== isBullEngulf() => close > open and open < close and close > open isBearEngulf() => close < open and open > close and close < open isAnyBull() => close > open isAnyBear() => close < open // ===== SMART ENTRY ===== for i = array.size(fvgs) - 1 to 0 f = array.get(fvgs, i) inFvg = close <= f.top and close >= f.bottom if inFvg okSweep = true if require_sweep_for_entry okSweep := f.bullish ? (not na(lastBullSweepBar) and bar_index - lastBullSweepBar <= sweepLookback) : (not na(lastBearSweepBar) and bar_index - lastBearSweepBar <= sweepLookback) if okSweep confirm = confirmation_type == "Bullish/Bearish Engulf" ? (f.bullish ? isBullEngulf() : isBearEngulf()) : confirmation_type == "Close Above/Below FVG" ? (f.bullish ? close > f.top : close < f.bottom) : (f.bullish ? isAnyBull() : isAnyBear()) if confirm if f.bullish label.new(bar_index, low, "Smart Long", style=label.style_label_up, color=color.lime, textcolor=color.black, size=size.normal) else label.new(bar_index, high, "Smart Short", style=label.style_label_down, color=color.fuchsia, textcolor=color.white, size=size.normal) break
Pine Script® indicator
by monir2022