Auf geht's

Exponential Moving Average (EMA)

Better DEMAThe Better DEMA is a new tool designed to recreate the classical moving average DEMA, into a smoother, more reliable tool. Combining many methodologies, this script offers users a unique insight into market behavior. How does it work? First, to get a smoother signal, we need to calculate the Gaussian filter. A Gaussian filter is a smoothing filter that reduces noise and detail by averaging data with weights following a Gaussian (bell-shaped) curve. Now that we have the source, we will calculate the following: n2 = n/2 (half of the user defined length) a = 2/(1+n) ns Now that we have that out of the way, it is time to get into the core. Now we calculate 2 EMAs: slow EMA => EMA over n fast EMA => EMA over n2 period Rather then now doing this: DEMA = fast EMA * 2 - slow EMA I found this to be better: DEMA = slow EMA * (1-a) + fast EMA * a As a last touch I took a little something from the HMA, and used a EMA with period of √n to smooth the entire the thing. The Trend condition at base is the following (but feel free to FAFO with it): Long = dema > dema yesterday and dema < src Short = dema < dema yesterday and dema > src Methodology While the DEMA is an amazing tool used in many great indicators, it can be far too noisy. This made me test out many filters, out of which the Gaussian performed best. Then I tried out the non subtractive approach and that worked too, as it made it smoother. Compacting on all I learned and smoothing it bit by bit, I think I can say this is worth looking into :). Use cases: Following Trends => classic, effective :) Smoothing sources for other indicators => if done well enough, could be useful :) Easy trend visualization => Added extra options for that. Strategy development => Yes Another good thing is it does not a high lookback period, so it should be better and less overfit. That is all for today Gs, Have fun and enjoy!
Pine Script® Indikator
von MisinkoMaster
Zero Lag Trend Signals (MTF) [Quant Trading] V7Overview The Zero Lag Trend Signals (MTF) V7 is a comprehensive trend-following strategy that combines Zero Lag Exponential Moving Average (ZLEMA) with volatility-based bands to identify high-probability trade entries and exits. This strategy is designed to reduce lag inherent in traditional moving averages while incorporating dynamic risk management through ATR-based stops and multiple exit mechanisms. This is a longer term horizon strategy that takes limited trades. It is not a high frequency trading and therefore will also have limited data and not > 100 trades. How It Works Core Signal Generation: The strategy uses a Zero Lag EMA (ZLEMA) calculated by applying an EMA to price data that has been adjusted for lag: Calculate lag period: floor((length - 1) / 2) Apply lag correction: src + (src - src ) Calculate ZLEMA: EMA of lag-corrected price Volatility bands are created using the highest ATR over a lookback period multiplied by a band multiplier. These bands are added to and subtracted from the ZLEMA line to create upper and lower boundaries. Trend Detection: The strategy maintains a trend variable that switches between bullish (1) and bearish (-1): Long Signal: Triggers when price crosses above ZLEMA + volatility band Short Signal: Triggers when price crosses below ZLEMA - volatility band Optional ZLEMA Trend Confirmation: When enabled, this filter requires ZLEMA to show directional momentum before entry: Bullish Confirmation: ZLEMA must increase for 4 consecutive bars Bearish Confirmation: ZLEMA must decrease for 4 consecutive bars This additional filter helps avoid false signals in choppy or ranging markets. Risk Management Features: The strategy includes multiple stop-loss and take-profit mechanisms: Volatility-Based Stops: Default stop-loss is placed at ZLEMA ± volatility band ATR-Based Stops: Dynamic stop-loss calculated as entry price ± (ATR × multiplier) ATR Trailing Stop: Ratcheting stop-loss that follows price but never moves against position Risk-Reward Profit Target: Take-profit level set as a multiple of stop distance Break-Even Stop: Moves stop to entry price after reaching specified R:R ratio Trend-Based Exit: Closes position when price crosses EMA in opposite direction Performance Tracking: The strategy includes optional features for monitoring and analyzing trades: Floating Statistics Table: Displays key metrics including win rate, GOA (Gain on Account), net P&L, and max drawdown Trade Log Labels: Shows entry/exit prices, P&L, bars held, and exit reason for each closed trade CSV Export Fields: Outputs trade data for external analysis Default Strategy Settings Commission & Slippage: Commission: 0.1% per trade Slippage: 3 ticks Initial Capital: $1,000 Position Size: 100% of equity per trade Main Calculation Parameters: Length: 70 (range: 70-7000) - Controls ZLEMA calculation period Band Multiplier: 1.2 - Adjusts width of volatility bands Entry Conditions (All Disabled by Default): Use ZLEMA Trend Confirmation: OFF - Requires ZLEMA directional momentum Re-Enter on Long Trend: OFF - Allows multiple entries during sustained trends Short Trades: Allow Short Trades: OFF - Strategy is long-only by default Performance Settings (All Disabled by Default): Use Profit Target: OFF Profit Target Risk-Reward Ratio: 2.0 (when enabled) Dynamic TP/SL (All Disabled by Default): Use ATR-Based Stop-Loss & Take-Profit: OFF ATR Length: 14 Stop-Loss ATR Multiplier: 1.5 Profit Target ATR Multiplier: 2.5 Use ATR Trailing Stop: OFF Trailing Stop ATR Multiplier: 1.5 Use Break-Even Stop-Loss: OFF Move SL to Break-Even After RR: 1.5 Use Trend-Based Take Profit: OFF EMA Exit Length: 9 Trade Data Display (All Disabled by Default): Show Floating Stats Table: OFF Show Trade Log Labels: OFF Enable CSV Export: OFF Trade Label Vertical Offset: 0.5 Backtesting Date Range: Start Date: January 1, 2018 End Date: December 31, 2069 Important Usage Notes Default Configuration: The strategy operates in its most basic form with default settings - using only ZLEMA crossovers with volatility bands and volatility-based stop-losses. All advanced features must be manually enabled. Stop-Loss Priority: If multiple stop-loss methods are enabled simultaneously, the strategy will use whichever condition is hit first. ATR-based stops override volatility-based stops when enabled. Long-Only by Default: Short trading is disabled by default. Enable "Allow Short Trades" to trade both directions. Performance Monitoring: Enable the floating stats table and trade log labels to visualize strategy performance during backtesting. Exit Mechanisms: The strategy can exit trades through multiple methods: stop-loss hit, take-profit reached, trend reversal, or trailing stop activation. The trade log identifies which exit method was used. Re-Entry Logic: When "Re-Enter on Long Trend" is enabled with ZLEMA trend confirmation, the strategy can take multiple long positions during extended uptrends as long as all entry conditions remain valid. Capital Efficiency: Default setting uses 100% of equity per trade. Adjust "default_qty_value" to manage position sizing based on risk tolerance. Realistic Backtesting: Strategy includes commission (0.1%) and slippage (3 ticks) to provide realistic performance expectations. These values should be adjusted based on your broker and market conditions. Recommended Use Cases Trending Markets: Best suited for markets with clear directional moves where trend-following strategies excel Medium to Long-Term Trading: The default length of 70 makes this strategy more appropriate for swing trading rather than scalping Risk-Conscious Traders: Multiple stop-loss options allow traders to customize risk management to their comfort level Backtesting & Optimization: Comprehensive performance tracking features make this strategy ideal for testing different parameter combinations Limitations & Considerations Like all trend-following strategies, performance may suffer in choppy or ranging markets Default 100% position sizing means full capital exposure per trade - consider reducing for conservative risk management Higher length values (70+) reduce signal frequency but may improve signal quality Multiple simultaneous risk management features may create conflicting exit signals Past performance shown in backtests does not guarantee future results Customization Tips For more aggressive trading: Reduce length parameter (minimum 70) Decrease band multiplier for tighter bands Enable short trades Use lower profit target R:R ratios For more conservative trading: Increase length parameter Enable ZLEMA trend confirmation Use wider ATR stop-loss multipliers Enable break-even stop-loss Reduce position size from 100% default For optimal choppy market performance: Enable ZLEMA trend confirmation Increase band multiplier Use tighter profit targets Avoid re-entry on trend continuation Visual Elements The strategy plots several elements on the chart: ZLEMA line (color-coded by trend direction) Upper and lower volatility bands Long entry markers (green triangles) Short entry markers (red triangles, when enabled) Stop-loss levels (when positions are open) Take-profit levels (when enabled and positions are open) Trailing stop lines (when enabled and positions are open) Optional ZLEMA trend markers (triangles at highs/lows) Optional trade log labels showing complete trade information Exit Reason Codes (for CSV Export) When CSV export is enabled, exit reasons are coded as: 0 = Manual/Other 1 = Trailing Stop-Loss 2 = Profit Target 3 = ATR Stop-Loss 4 = Trend Change Conclusion Zero Lag Trend Signals V7 provides a robust framework for trend-following with extensive customization options. The strategy balances simplicity in its core logic with sophisticated risk management features, making it suitable for both beginner and advanced traders. By reducing moving average lag while incorporating volatility-based signals, it aims to capture trends earlier while managing risk through multiple configurable exit mechanisms. The modular design allows traders to start with basic trend-following and progressively add complexity through ZLEMA confirmation, multiple stop-loss methods, and advanced exit strategies. Comprehensive performance tracking and export capabilities make this strategy an excellent tool for systematic testing and optimization. Note: This strategy is provided for educational and backtesting purposes. All trading involves risk. Past performance does not guarantee future results. Always test thoroughly with paper trading before risking real capital, and adjust position sizing and risk parameters according to your risk tolerance and account size. ================================================================================ TAGS: ================================================================================ trend following, ZLEMA, zero lag, volatility bands, ATR stops, risk management, swing trading, momentum, trend confirmation, backtesting ================================================================================ CATEGORY: ================================================================================ Strategies ================================================================================ CHART SETUP RECOMMENDATIONS: ================================================================================ For optimal visualization when publishing: Use a clean chart with no other indicators overlaid Select a timeframe that shows multiple trade signals (4H or Daily recommended) Choose a trending asset (crypto, forex major pairs, or trending stocks work well) Show at least 6-12 months of data to demonstrate strategy across different market conditions Enable the floating stats table to display key performance metrics Ensure all indicator lines (ZLEMA, bands, stops) are clearly visible Use the default chart type (candlesticks) - avoid Heikin Ashi, Renko, etc. Make sure symbol information and timeframe are clearly visible ================================================================================ COMPLIANCE NOTES: ================================================================================ ✅ Open-source publication with complete code visibility ✅ English-only title and description ✅ Detailed explanation of methodology and calculations ✅ Realistic commission (0.1%) and slippage (3 ticks) included ✅ All default parameters clearly documented ✅ Performance limitations and risks disclosed ✅ No unrealistic claims about performance ✅ No guaranteed results promised ✅ Appropriate for public library (original trend-following implementation with ZLEMA) ✅ Educational disclaimers included ✅ All features explained in detail ================================================================================
Pine Script® Strategie
von Quant_Trading_Pro
1
Adaptive Trend OscillatorAdaptive Trend Oscillator (ATO) — Publishing Description and User Guide Purpose The Adaptive Trend Oscillator (ATO) is a research and decision‑support indicator designed to help traders assess momentum, trend stability, and changing volatility conditions within a single, unified panel. It provides a configurable signal line, optional confidence bands, adaptive zones, and contextual Bollinger Band cues. ATO is intended for educational and analytical use on TradingView charts and does not execute trades or make investment recommendations. Methodology (High‑Level Overview) ATO integrates several well‑known concepts into a cohesive framework while avoiding proprietary implementation details: - Core Oscillator: A smoothed momentum line derived from standard price‑based calculations (e.g., RSI) with confidence‑aware coloring to reflect relative stability and recent behavior. - Signal Candle Visualization: A Heikin‑Ashi style signal candle, computed from the oscillator series, helps users visually interpret direction, strength, and transitions. Smoothing controls reduce jitter in the open component to improve readability. - Volatility Regime Detection: Rolling dispersion and average comparisons classify conditions into Low/Medium/High volatility regimes. This regime context informs confidence scoring and adaptive visualization. - Adaptive Zones: Overbought/Oversold zones adjust to market conditions using observed distribution and lookback windows, offering dynamic boundaries that can better reflect regime changes compared with fixed thresholds. - Bollinger Context: Bands applied to the oscillator series provide cues about contraction (squeeze), expansion (divergence), and convergence. Optional fills highlight changing states while remaining purely informational. - Confidence Bands: Optional envelopes around the oscillator estimate uncertainty ranges derived from recent behavior and regime context. These bands are visual aids, not predictions. - Performance Mode: An optional toggle that simplifies visuals (thinner lines, reduced fills, disabling inner layers) to improve responsiveness on devices or layouts where rendering cost matters. Calculations remain unchanged. Inputs and Configuration (Summary) ATO organizes settings for clarity and quick start: - Quick Start & Display Toggles: Show/hide key elements such as adaptive zones, confidence bands, and Bollinger fills; enable Performance Mode for faster rendering. - Core Signal Tuning: Adjust smoothing for the signal candle open, choose theme, and set lookback parameters used in the underlying oscillator and contextual measures. - Visualization Layers: Confidence bands, inner/outer envelopes, and color themes can be enabled or disabled as needed. Intended Use and Application - ATO is most effective as a complementary tool. Use it alongside price action, volume, risk management rules, and broader market context. - Signals should be validated with multiple factors (support/resistance, higher‑timeframe bias, and instrument characteristics). Parameter tuning is recommended for different assets and timeframes. - The indicator does not generate trade orders. Any buy/sell interpretations are at the user’s discretion and should be independently evaluated. Limitations and Risks - No Guarantees: The indicator cannot predict future prices. Visual cues reflect historical and current data only. - Lag and Whipsaws: Smoothing improves stability but introduces lag. During range‑bound or choppy conditions, oscillators may experience false starts or rapid flips. - Data Quality and Availability: Calculations rely on TradingView‑provided data, which may include delays or revisions depending on the data source and subscription. - User Configuration: Improper or aggressive settings may reduce effectiveness. Always backtest and forward‑test configurations before use. Required Disclosures and Regulatory Statements - Educational Use Only: ATO is provided for informational and educational purposes. It does not constitute investment advice, solicitation, or a recommendation to buy or sell any security or derivative. - No Advisor Relationship: The publisher is not acting as a broker, dealer, investment advisor, or fiduciary. Users are solely responsible for decisions made using the indicator. - Past Performance: Past performance, whether shown in charts or inferred from historical signals, does not guarantee future results. - Risk of Loss: Trading and investing involve substantial risk. You can lose more than your initial capital. Consider your financial situation, risk tolerance, and seek advice from a qualified, licensed professional where appropriate. - Jurisdictional Compliance: Users must comply with all applicable laws and regulations in their jurisdiction and with TradingView’s Terms of Use and House Rules. Attribution and Code Notes - ATO relies on standard Pine Script constructs and common analytical concepts (e.g., RSI, Bollinger Band‑style dispersion, Heikin‑Ashi visualization). No external data sources are accessed. - Calculations and visual layers are original work tailored for research utility. Specific implementation details are intentionally summarized to respect intellectual property and maintain clarity. Publishing‑Friendly Content Guidelines - No exaggerated claims, guarantees, or sensational language are used. Descriptions focus on functionality, method, and limitations. - The indicator is positioned as a tool for research and decision support, not as a promise of profit or certainty. Getting Started (Suggested Workflow) 1) Add ATO to your chart and choose a theme suitable for your background (Light/Dark). 2) Enable/disable visualization layers (Adaptive Zones, Confidence Bands, Bollinger Fill) to match your preference. 3) Adjust signal smoothing and lookback parameters to fit your instrument and timeframe; conservative settings generally produce steadier signals. 4) Optional: Turn on Performance Mode if you use multiple panels or need faster UI responsiveness; this simplifies visuals while preserving calculations. 5) Validate signals with price structure, volume context, and higher‑timeframe bias before making any decision. Support and Contact - For questions or feedback, please use TradingView direct messages to the publisher’s account: . - Personal financial advice is not provided. Support is limited to general usage guidance and technical questions about the indicator. Final Reminder ATO is a tool for analysis, not a guarantee of outcomes. Always manage risk, perform independent research, and remember that past performance does not guarantee future results.
Pine Script® Indikator
von Amir_Sakr
ema200 plus Description: This advanced indicator displays Exponential Moving Averages (EMA) across multiple timeframes to help traders identify trend direction and strength across different market perspectives. Key Features: Multi-Timeframe EMA Analysis: Plots 200-period EMA on four different timeframes: 30-minute, 1-hour, 4-hour, and Daily Each timeframe is displayed with distinct colors for easy visual identification Visual Elements: Chart Lines: Four colored EMA lines plotted directly on the price chart Price Labels: Clear labels showing each EMA's current value at the latest bar Color-coded Table: Comprehensive data table showing price position relative to each EMA Trend Identification: Bullish Signal: When price closes above an EMA (green background in table) Bearish Signal: When price closes below an EMA (dark background in table) Helps identify confluence when multiple timeframes align in direction Customizable Settings: Adjustable EMA length (default: 200 periods) Customizable line width and offset Flexible table positioning (top/middle/bottom, left/center/right) Configurable table cell size and text appearance Swing traders analyzing multiple timeframes Position traders looking for trend confirmation Technical analysts seeking confluence across time horizons This indicator provides a comprehensive view of market trends across different time perspectives, helping traders make more informed decisions based on multi-timeframe analysis. This indicator does not provide trading advice. It is for educational and informational purposes only. **指标名称：多时间框架200 EMA** **描述：** 这款高级指标在多个时间框架上显示指数移动平均线（EMA），帮助交易者识别不同市场视角下的趋势方向和强度。 **主要特点：** 1. **多时间框架EMA分析：** - 在四个不同时间框架上绘制200周期EMA：30分钟、1小时、4小时和日线 - 每个时间框架使用独特颜色显示，便于视觉识别 2. **视觉元素：** - **图表线：** 在价格图表上直接绘制四条彩色EMA线 - **价格标签：** 清晰显示最新K线处各EMA的当前值 - **颜色编码表格：** 综合数据表格显示价格相对于各EMA的位置 3. **趋势识别：** - **看涨信号：** 当价格收于EMA上方时（表格中显示绿色背景） - **看跌信号：** 当价格收于EMA下方时（表格中显示深色背景） - 帮助识别多个时间框架方向一致时的共振信号 4. **可自定义设置：** - 可调整EMA长度（默认：200周期） - 可自定义线宽和偏移量 - 灵活的表格定位（上/中/下，左/中/右） - 可配置表格单元格大小和文本外观 **适合人群：** - 分析多时间框架的摆动交易者 - 寻求趋势确认的头寸交易者 - 寻找不同时间维度共振信号的技术分析师
Pine Script® Indikator
von Backspace1998
MarketMonkey-Indicator-Set-1 - GMMA open 🧠 MarketMonkey-Indicator-Set-1 — GMMA Open GMMA (Guppy Multiple Moving Average) Toolkit for Trend Clarity & Timing The MarketMonkey GMMA Open indicators brings a clean, high-performance visual of trend strength and direction using multiple exponential moving averages (EMAs) across short- and long-term time frames. Designed for traders who want to see momentum shifts and market transitions as they happen, this version overlays directly on the price chart for quick and confident reads. 🔍 How It Works * Short-term EMAs (3–15) track trader sentiment and momentum. * Long-term EMAs (30–60) show investor trend commitment. * The indicator dynamically colors the long-term EMAs: * 🔵 Blue : Upward momentum * 🔴 Red : Downward momentum When the short-term group expands above the long-term group, it signals strength and potential continuation. Tightening or compression may warn of pauses or reversals. 💡 Features * 12 adjustable EMA periods (customize your GMMA spacing) * Automatic color shifts for trend clarity * Live price flag for easy reference * Compact ticker/date display in the top-right corner * Minimalist, overlay-based design — no clutter, just clarity 📈 Best Used For * Spotting early trend changes * Confirming continuation or breakout setups * Identifying compression zones before reversals * Overlaying on ASX, S&P, FX, Gold, or Crypto charts 🔔 Part of the MarketMonkey Indicator Set series — tools built for real-world trend recognition and momentum trading.
Pine Script® Indikator
von Market_Monkey_AU
EMA Cloud + AlertsThe only EMA indicator you'll ever need. - Flexible EMAs: Customize EMA lengths (e.g., 9, 21) to match your trading style. - Dynamic Cloud: Auto-shades bullish (green) or bearish (red) clouds between EMAs for clear trend signals. - Trend Change Alerts: Auto-alerts that signal when a trend change (EMA crossover) happens on the timeframe you're currently viewing. - Timeframe Lock: Lock EMAs to a specific timeframe (e.g., 5m on a 1m chart) for consistent analysis. - Personalized Design: Adjust EMA colors, thickness, and cloud transparency for optimal visibility. A friendly reminder that no tool or indicator guarantees success. Integrate this into a robust trading plan.
Pine Script® Indikator
von VeroTradeX
14
20 EMA Undercut Bounce - M4v3r1ck💎 The "EMA Undercut Bounce" Bullish Scanner This indicator is designed to identify high-conviction continuation patterns where price makes a temporary dip for liquidity before resuming a powerful, established uptrend. It specifically looks for a bullish rejection off the 20-period Exponential Moving Average (EMA). 🎯 Strategy Logic The signal is generated only on the Daily (1D) timeframe when the following five precise conditions are met on the most recent completed bar: 1. Price Action (The Undercut Bounce) • Undercut: The bar's low price must have touched or temporarily traded below the 20-Day EMA. • Rejection: The bar's close price must have fully recovered and closed above the 20-Day EMA. This is the classic sign of strong buying pressure defending a key support level. 2. Strong Trend Hierarchy (The Bullish Stack) The moving averages must be perfectly stacked, confirming a robust multi-timeframe uptrend structure: • 10-Day EMA > 20-Day EMA • 20-Day EMA > 50-Day SMA • 50-Day SMA > 200-Day SMA 3. Momentum Confirmation (The Upward Slope) Both the 10-Day EMA and the 20-Day EMA must be rising from the previous day. This ensures that the short-term trend momentum is positive, ruling out signals during flat or turning markets. 💡 How to Use This Indicator 1. Timeframe: Ensure your chart is set to the Daily (1D) timeframe for accurate results. 2. Signal: A Green Background highlight and an Up-Arrow below the bar mark a confirmed signal. 3. Alerts: Use the built-in alert condition to set up notifications for stocks on your watchlist, allowing you to catch these high-quality setups without constantly monitoring charts. This script is ideal for trend-following traders looking to enter a position after a healthy shakeout and confirmation of continued bullish commitment.
Pine Script® Indikator
von M4v3r1ck_
Short TimeFrame MAs with momentum cloudsThis indicator displays multiple moving averages to help identify short- and mid-term trends. It includes four SMAs (9, 50, 150, 200) and two EMAs (21, 55) with color changes showing bullish or bearish momentum. The area between the EMAs is filled to highlight trend direction. An optional smoothing layer lets you apply different MA types or Bollinger Bands for additional clarity. It’s designed to give a clear visual of overall trend strength, direction, and volatility on any timeframe.
Pine Script® Indikator
von ofeketz99
[LTS] Marubozu Candle StrategyOVERVIEW The Marubozu Candle Strategy identifies and trades wickless candles (Marubozu patterns) with dynamic take-profit and stop-loss levels based on market volatility. This indicator combines traditional Japanese candlestick pattern recognition with modern volatility-adjusted risk management and includes a comprehensive performance tracking dashboard. A Marubozu candle is a powerful continuation pattern characterized by the complete absence of wicks on one side, indicating strong directional momentum. This strategy specifically detects: - Bullish Marubozu: Close > Open AND Low = Open (no lower wick) - Bearish Marubozu: Close < Open AND High = Open (no upper wick) When price returns to test these levels, the indicator generates trading signals with predefined risk-reward parameters. CORE METHODOLOGY Detection Logic: The script scans each bar for Marubozu formations using precise price comparisons. When a wickless candle appears, a horizontal line extends from the opening price, marking it as a potential support (bullish) or resistance (bearish) level. These levels remain active until price touches them or until the maximum line limit is reached. EMA Filter (Optional): An exponential moving average filter enhances signal quality by requiring proper trend alignment. For bullish signals, price must be above the EMA when touching the level. For bearish signals, price must be below the EMA. This filter reduces counter-trend trades and improves win rates in trending markets. Users can disable this filter for range-bound conditions. Dynamic Risk Management: The strategy employs ATR-based (Average True Range) position sizing rather than fixed point values. This approach adapts to market volatility automatically: - In low volatility: Tighter stops and targets - In high volatility: Wider stops and targets proportional to market movement Default settings use a 2:1 reward-to-risk ratio (1x ATR for take-profit, 0.5x ATR for stop-loss), but users can adjust these multipliers to match their trading style. HOW IT WORKS Step 1 - Pattern Detection: On each bar, the indicator evaluates whether the candle qualifies as a Marubozu by comparing the high, low, open, and close prices. When detected, the opening price becomes the key level. Step 2 - Level Management: Horizontal lines extend from each Marubozu's opening price. The indicator maintains two separate arrays: one for unbroken levels (actively extending) and one for broken levels (historical reference). Users can configure how many of each type to display, preventing chart clutter while maintaining relevant context. Step 3 - Signal Generation: When price returns to touch a Marubozu level, the indicator evaluates the EMA filter condition. If the filter passes (or is disabled), the script draws TP/SL boxes showing the expected profit and loss zones based on current ATR values. Step 4 - Trade Tracking: Each valid signal enters the tracking system, which monitors subsequent price action to determine outcomes. The script identifies whether the take-profit or stop-loss was hit first (discarding trades where both trigger on the same candle to avoid ambiguous results). PERFORMANCE DASHBOARD The integrated dashboard provides real-time strategy analytics to automatically convert results to dollar values for any instrument: Tracked Metrics: - Total Trades: Complete count of closed positions - Wins/Losses: Individual counts with color coding - Win Rate: Success percentage with dynamic color (green >= 50%, red < 50%) - Total P&L: Cumulative profit/loss in dollars - Avg Win: Mean dollar amount per winning trade - Avg Loss: Mean dollar amount per losing trade NOTE: The dollar values shown in the dashboard are for trading only a single share/contract/etc. You will need to manually multiply those numbers by the amount of shares/contracts you are trading to get a true value. The dollar conversion works automatically across all markets: - Futures contracts (ES, NQ, CL, etc.) use their contract specifications - Forex pairs use standard lot calculations - Stocks and crypto use their respective point values This eliminates manual calculation and provides immediate performance feedback in meaningful currency terms. CUSTOMIZATION OPTIONS ATR Settings: - ATR Period: Lookback length for volatility calculation (default: 14) - TP Multiplier: Take-profit distance as multiple of ATR (default: 3.0) - SL Multiplier: Stop-loss distance as multiple of ATR (default: 1.5) EMA Settings: - EMA Length: Period for trend filter calculation (default: 9) - Use EMA Filter: Toggle trend confirmation requirement (default: enabled) Visual Settings: - Bullish Color: Color for long signals and wins (default: green) - Bearish Color: Color for short signals and losses (default: red) - EMA Color: Color for trend filter line (default: orange) - Line Width: Thickness of Marubozu level lines (1-5, default: 2) - EMA Width: Thickness of EMA line (1-5, default: 2) Line Management: - Max Unbroken Lines: Limit for active extending lines (default: 10) - Max Broken Lines: Limit for historical touched lines (default: 5) Dashboard Settings: - Show Dashboard: Toggle performance display on/off - Dashboard Position: Corner placement (4 options) - Dashboard Size: Text size selection (Tiny/Small/Normal/Large) HOW TO USE 1. Add the indicator to your chart 2. Adjust ATR multipliers based on your risk tolerance (higher values = more conservative) 3. Configure the EMA filter based on market conditions (enable for trending, disable for ranging) 4. Set line limits to match your visual preference and chart timeframe 5. Monitor the dashboard to track strategy performance in real-time 6. Use the TP/SL boxes as reference levels for manual trades or automation Best Practices: - Enable EMA filter in strongly trending markets - Disable EMA filter if you want more trade signals but at lower quality - Increase ATR multipliers in highly volatile markets - Decrease ATR multipliers for tighter, more frequent trades - Review avg win/loss ratio to ensure positive expectancy UNIQUE FEATURES Unlike basic Marubozu detectors, this strategy provides: 1. Automatic level tracking with memory management 2. Volatility-adjusted risk parameters instead of fixed values 3. Optional trend confirmation via EMA filter 4. Real-time performance analytics with automatic dollar conversion 5. Separate tracking of wins/losses with individual averages 6. Configurable visual display to prevent chart clutter 7. Complete transparency with all logic visible in open-source code
Pine Script® Indikator
von LHAMA-Trading
UMA Scalping Level 2025UMA Scalping Level 2025は、「直近で市場が意識している高値・安値ライン」と 「短期トレンドの勢い（EMAクロス）」を同時に捉えるスキャルピング特化型インジケーターです。 "UMA Scalping Level 2025" is a scalping-focused indicator that simultaneously captures the recent key swing highs and lows that the market is reacting to, and the short-term momentum identified by EMA crossovers.
Pine Script® Indikator
von fxdeuma
Multi-Timeframe EMA Trend Dashboard with Volume and RSI Filters═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME EMA TREND DASHBOARD ═══════════════════════════════════════════════════════════ OVERVIEW This indicator provides a comprehensive view of trend direction across multiple timeframes using the classic EMA 20/50 crossover methodology, enhanced with volume confirmation and RSI filtering. It aggregates trend information from six timeframes into a single dashboard for efficient market analysis. The indicator is designed for educational purposes and to assist traders in identifying potential trend alignments across different time horizons. ═══════════════════════════════════════════════════════════ FEATURES ═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME ANALYSIS • Monitors 6 timeframes simultaneously: 1m, 5m, 15m, 1H, 4H, 1D • Each timeframe analyzed independently using request.security() • Non-repainting implementation with proper lookahead settings • Calculates overall trend strength as percentage of bullish timeframes EMA CROSSOVER SYSTEM • Fast EMA (default: 20) and Slow EMA (default: 50) • Bullish: Fast EMA > Slow EMA • Bearish: Fast EMA < Slow EMA • Neutral: Fast EMA = Slow EMA (rare condition) • Visual EMA plots with optional fill area VOLUME CONFIRMATION • Optional volume filter for crossover signals • Compares current volume against moving average (default: 20-period SMA) • Categorizes volume as: High (>1.5x average), Normal (>average), Low (70), oversold (<30), and neutral zones • Used in quality score calculation • Optional display toggle SUPPORT & RESISTANCE DETECTION • Automatic detection using highest/lowest over lookback period (default: 50 bars) • Plots resistance (red), support (green), and mid-level (gray) • Step-line style for clear visualization • Optional display toggle QUALITY SCORING SYSTEM • Rates trade setups from 1-5 stars • Considers: MTF alignment, volume confirmation, RSI positioning • 5 stars: 4+ timeframes aligned + volume confirmed + RSI 50-70 • 4 stars: 4+ timeframes aligned + volume confirmed • 3 stars: 3+ timeframes aligned • 2 stars: Exactly 3 timeframes aligned • 1 star: Other conditions VISUAL DASHBOARD • Clean table display (position customizable) • Color-coded trend indicators (green/red/yellow) • Extended statistics panel (toggleable) • Shows: Trends, Strength, Quality, RSI, Volume, Price Distance ═══════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════ CALCULATIONS Trend Determination per Timeframe: • request.security() fetches EMA values with gaps=off, lookahead=off • Compares Fast EMA vs Slow EMA • Returns: 1 (bullish), -1 (bearish), 0 (neutral) Trend Strength: • Counts number of bullish timeframes • Formula: (bullish_count / 6) × 100 • Range: 0% (all bearish) to 100% (all bullish) Price Distance from EMA: • Formula: ((close - EMA) / EMA) × 100 • Positive: Price above EMA • Negative: Price below EMA • Warning when absolute distance > 5% ANTI-REPAINTING MEASURES • All request.security() calls use lookahead=barmerge.lookahead_off • Dashboard updates only on barstate.islast • Historical bars remain unchanged • Crossover signals finalize on bar close ═══════════════════════════════════════════════════════════ USAGE GUIDE ═══════════════════════════════════════════════════════════ INTERPRETING THE DASHBOARD Timeframe Rows: • Each row shows individual timeframe trend status • Look for alignment (multiple timeframes same direction) • Higher timeframes generally more significant Strength Indicator: • >66.67%: Strong bullish (4+ timeframes bullish) • 33.33-66.67%: Mixed/choppy conditions • <33.33%: Strong bearish (4+ timeframes bearish) Quality Score: • Higher stars = better confluence of factors • 5-star setups have strongest multi-factor confirmation • Lower scores may indicate weaker or conflicting signals SUGGESTED APPLICATIONS Trend Confirmation: • Check if multiple timeframes confirm current chart trend • Higher agreement = stronger trend confidence • Use for position sizing decisions Entry Timing: • Wait for EMA crossover on chart timeframe • Confirm with higher timeframe alignment • Volume above average preferred • RSI not in extreme zones Divergence Detection: • When lower timeframes diverge from higher • May indicate trend exhaustion or reversal • Requires additional confirmation CUSTOMIZATION EMA Settings: • Adjust Fast/Slow lengths for different sensitivities • Shorter periods = more responsive, more signals • Longer periods = smoother, fewer signals • Common alternatives: 10/30, 12/26, 50/200 Volume Filter: • Enable for higher-quality signals (fewer false positives) • Disable in always-liquid markets or for more signals • Adjust MA length based on typical volume patterns Display Options: • Toggle EMAs, S/R levels, extended stats as needed • Choose dashboard position to avoid chart overlap • Adjust colors for visibility preferences ═══════════════════════════════════════════════════════════ ALERTS ═══════════════════════════════════════════════════════════ AVAILABLE ALERT CONDITIONS 1. Bullish EMA Cross (Volume Confirmed) 2. Bearish EMA Cross (Volume Confirmed) 3. Strong Bullish Alignment (4+ timeframes) 4. Strong Bearish Alignment (4+ timeframes) 5. Trend Strength Increasing (>16.67% jump) 6. Trend Strength Decreasing (>16.67% drop) 7. Excellent Trade Setup (5-star rating) Alert messages use standard placeholders: • {{ticker}} - Symbol name • {{close}} - Current close price • {{time}} - Bar timestamp ═══════════════════════════════════════════════════════════ LIMITATIONS & CONSIDERATIONS ═══════════════════════════════════════════════════════════ KNOWN LIMITATIONS • Lower timeframe data may not be available on all symbols • 1-minute data typically limited to recent history • request.security() subject to TradingView data limits • Dashboard requires screen space (may overlap on small screens) • More complex calculations may affect load time on slower devices NOT SUITABLE FOR • Highly volatile/illiquid instruments (many false signals) • News-driven markets during announcements • Automated trading without additional filters • Markets where EMA strategies don't perform well DOES NOT PROVIDE • Exact entry/exit prices • Stop-loss or take-profit levels • Position sizing recommendations • Guaranteed profit signals • Market predictions ═══════════════════════════════════════════════════════════ BEST PRACTICES ═══════════════════════════════════════════════════════════ RECOMMENDED USAGE ✓ Combine with price action analysis ✓ Use appropriate risk management ✓ Backtest on historical data before live use ✓ Adjust settings for specific market characteristics ✓ Wait for higher-quality setups in important trades ✓ Consider overall market context and fundamentals NOT RECOMMENDED ✗ Using as standalone trading system without confirmation ✗ Trading every signal without discretion ✗ Ignoring risk management principles ✗ Trading without understanding the methodology ✗ Applying to unsuitable markets/timeframes ═══════════════════════════════════════════════════════════ EDUCATIONAL BACKGROUND ═══════════════════════════════════════════════════════════ EMA CROSSOVER STRATEGY The Exponential Moving Average crossover is a classical trend-following technique: • Golden Cross: Fast EMA crosses above Slow EMA (bullish signal) • Death Cross: Fast EMA crosses below Slow EMA (bearish signal) • Widely used since the 1970s in various markets • More responsive than SMA due to exponential weighting MULTI-TIMEFRAME ANALYSIS Analyzing multiple timeframes helps traders: • Identify alignment between short and long-term trends • Reduce false signals from single-timeframe noise • Understand market context across different horizons • Make informed decisions about trade duration VOLUME ANALYSIS Volume confirmation adds reliability: • High volume suggests institutional participation • Low volume signals may indicate false breakouts • Volume precedes price in many market theories • Helps distinguish genuine moves from noise ═══════════════════════════════════════════════════════════ TECHNICAL IMPLEMENTATION ═══════════════════════════════════════════════════════════ CODE STRUCTURE • Organized in clear sections with proper commenting • Uses explicit type declarations (int, float, bool, color, string) • Constants defined at top (BULLISH=1, BEARISH=-1, etc.) • Functions documented with @function, @param, @returns • Follows PineCoders naming conventions (camelCase variables) PERFORMANCE OPTIMIZATION • var keyword for table (created once, not every bar) • Calculations cached where possible • Dashboard updates only on last bar • Minimal redundant security() calls SECURITY IMPLEMENTATION • Proper gaps and lookahead parameters • No future data leakage • Signals finalize on bar close • Historical bars remain static ═══════════════════════════════════════════════════════════ VERSION INFORMATION ═══════════════════════════════════════════════════════════ Current Version: 2.0 Pine Script Version: 5 Last Updated: 2024 Developed by: Zakaria Safri ═══════════════════════════════════════════════════════════ SETTINGS REFERENCE ═══════════════════════════════════════════════════════════ EMA SETTINGS • Fast EMA Length: 1-500 (default: 20) • Slow EMA Length: 1-500 (default: 50) VOLUME & MOMENTUM • Use Volume Confirmation: true/false (default: true) • Volume MA Length: 1-500 (default: 20) • Show RSI Levels: true/false (default: true) • RSI Length: 1-500 (default: 14) PRICE ACTION FEATURES • Show Price Distance: true/false (default: true) • Show Key Levels: true/false (default: true) • S/R Lookback Period: 10-500 (default: 50) DISPLAY SETTINGS • Show EMAs on Chart: true/false (default: true) • Fast EMA Color: customizable (default: cyan) • Slow EMA Color: customizable (default: orange) • EMA Line Width: 1-5 (default: 2) • Show Fill Between EMAs: true/false (default: true) • Show Crossover Signals: true/false (default: true) DASHBOARD SETTINGS • Position: Top Left/Right, Bottom Left/Right • Show Extended Statistics: true/false (default: true) ALERT SETTINGS • Alert on Multi-TF Alignment: true/false (default: true) • Alert on Trend Strength Change: true/false (default: true) ═══════════════════════════════════════════════════════════ RISK DISCLAIMER ═══════════════════════════════════════════════════════════ This indicator is provided for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell any security. IMPORTANT NOTICES: • Past performance does not indicate future results • All trading involves risk of capital loss • No indicator guarantees profitable trades • Always conduct independent research and analysis • Use proper risk management and position sizing • Consult a qualified financial advisor before trading • The developer assumes no liability for trading losses By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions. ═══════════════════════════════════════════════════════════ SUPPORT & CONTRIBUTIONS ═══════════════════════════════════════════════════════════ FEEDBACK WELCOME • Constructive comments appreciated • Bug reports help improve the indicator • Feature suggestions considered for future versions • Share your experience to help other users OPEN SOURCE This code is published as open source for the TradingView community to: • Learn from the implementation • Modify for personal use • Understand multi-timeframe analysis techniques If you find this indicator useful, please consider: • Leaving a thoughtful review • Sharing with other traders who might benefit • Following for future updates and releases ═══════════════════════════════════════════════════════════ ADDITIONAL RESOURCES ═══════════════════════════════════════════════════════════ RECOMMENDED READING • TradingView Pine Script documentation • PineCoders community resources • Technical analysis textbooks on moving averages • Multi-timeframe trading strategy guides • Risk management principles RELATED CONCEPTS • Trend following strategies • Moving average convergence/divergence • Multiple timeframe analysis • Volume-price relationships • Momentum indicators ═══════════════════════════════════════════════════════════ Thank you for using this indicator. Trade responsibly and continue learning! ═══════════════════════════════════════════════════════════
Pine Script® Indikator
von zakariasafri47
ORBs, EMAs, SMAs, AVWAPThis is an update to a previously published script. In short the difference is the added capability to adjust the length of EMAs. Also added 3 customizable SMAs. Enjoy! Let me know what you think of the script please. This is only second one I have ever done. Through practice and people like @LuxAlgo and other Pinescripters this isn't possible. Tedious hrs with ChatGPT to correct nuances, who doesnt seem to learn from (insert pronoun) mistakes This all-in-one indicator combines key institutional tools into a unified framework for intraday and swing trading. Designed for traders who use multi-session analysis and dynamic levels, it automatically maps out global session breakouts, moving averages, and volume-weighted anchors with high clarity. Features include: 🕓 Tokyo, London, and New York ORBs (Opening Range Breakouts) — 30-minute configurable range boxes that persist until the next New York open. 📈 Anchored VWAP with Standard Deviation Bands — dynamically anchorable to session, week, or month for institutional-grade price tracking. 📊 Exponential Moving Averages (9, 20, 113, 200) — for short-, mid-, and long-term momentum structure. 📉 Simple Moving Averages (20, 50, 100) — fully customizable lengths, colors, and visibility toggles for trend confirmation. 🏁 Prior High/Low Levels (PDH/PDL, PWH/PWL, PMH/PML) — automatically plotted from previous day, week, and month, with labels placed at each session’s midpoint. 🎛️ Session-Aligned Time Logic — all time calculations use New York session anchors with DST awareness. 💡 Clean Visualization Options — every component can be toggled on/off, recolored, or customized for your workflow. Best used for: ORB break-and-retest setups VWAP and EMA rejections Confluence-based trading around key session levels Multi-session momentum tracking
Pine Script® Indikator
von nh311009
1
Mythical EMAs + Dynamic VWAP BandThis indicator titled "Mythical EMAs + Dynamic VWAP Band." It overlays several volatility-adjusted Exponential Moving Averages (EMAs) on the chart, along with a Volume Weighted Average Price (VWAP) line and a dynamic band around it. Additionally, it uses background coloring (clouds) to visualize bullish or bearish trends, with intensity modulated by the price's position relative to the VWAP. The EMAs are themed with mythical names (e.g., Hermes for the 9-period EMA), but this is just stylistic flavoring and doesn't affect functionality. I'll break it down section by section, explaining what each part does, how it works, and its purpose in the context of technical analysis. This indicator is designed for traders to identify trends, momentum, and price fairness relative to volume-weighted averages, with volatility adjustments to make the EMAs more responsive in volatile markets. ### 1. **Volatility Calculation (ATR)** ```pine atrLength = 14 volatility = ta.atr(atrLength) ``` - **What it does**: Calculates the Average True Range (ATR) over 14 periods (a common default). ATR measures market volatility by averaging the true range (the greatest of: high-low, |high-previous close|, |low-previous close|). - **Purpose**: This volatility value is used later to dynamically adjust the EMAs, making them more sensitive in high-volatility conditions (e.g., during market swings) and smoother in low-volatility periods. It helps the indicator adapt to changing market environments rather than using static EMAs. ### 2. **Custom Mythical EMA Function** ```pine mythical_ema(src, length, base_alpha, vol_factor) => alpha = (2 / (length + 1)) * base_alpha * (1 + vol_factor * (volatility / src)) ema = 0.0 ema := na(ema ) ? src : alpha * src + (1 - alpha) * ema ema ``` - **What it does**: Defines a custom function to compute a modified EMA. - It starts with the standard EMA smoothing factor formula: `2 / (length + 1)`. - Multiplies it by a `base_alpha` (a user-defined multiplier to tweak responsiveness). - Adjusts further for volatility: Adds a term `(1 + vol_factor * (volatility / src))`, where `vol_factor` scales the impact, and `volatility / src` normalizes ATR relative to the source price (making it scale-invariant). - The EMA is then calculated recursively: If the previous EMA is NA (e.g., at the start), it uses the current source value; otherwise, it weights the current source by `alpha` and the prior EMA by `(1 - alpha)`. - **Purpose**: This creates "adaptive" EMAs that react faster in volatile markets (higher alpha when volatility is high relative to price) without overreacting in calm periods. It's an enhancement over standard EMAs, which use fixed alphas and can lag in choppy conditions. The mythical theme is just naming—functionally, it's a volatility-weighted EMA. ### 3. **Calculating the EMAs** ```pine ema9 = mythical_ema(close, 9, 1.2, 0.5) // Hermes - quick & nimble ema20 = mythical_ema(close, 20, 1.0, 0.3) // Apollo - short-term foresight ema50 = mythical_ema(close, 50, 0.9, 0.2) // Athena - wise strategist ema100 = mythical_ema(close, 100, 0.8, 0.1) // Zeus - powerful oversight ema200 = mythical_ema(close, 200, 0.7, 0.05) // Kronos - long-term patience ``` - **What it does**: Applies the custom EMA function to the close price with varying lengths (9, 20, 50, 100, 200 periods), base alphas (decreasing from 1.2 to 0.7 for longer periods to make shorter ones more responsive), and volatility factors (decreasing from 0.5 to 0.05 to reduce volatility influence on longer-term EMAs). - **Purpose**: These form a multi-timeframe EMA ribbon: - Shorter EMAs (e.g., 9 and 20) capture short-term momentum. - Longer ones (e.g., 200) show long-term trends. - Crossovers (e.g., short EMA crossing above long EMA) can signal buy/sell opportunities. The volatility adjustment makes them "mythical" by adding dynamism, potentially improving signal quality in real markets. ### 4. **VWAP Calculation** ```pine vwap_val = ta.vwap(close) // VWAP based on close price ``` - **What it does**: Computes the Volume Weighted Average Price (VWAP) using the built-in `ta.vwap` function, anchored to the close price. VWAP is the average price weighted by volume over the session (resets daily by default in Pine Script). - **Purpose**: VWAP acts as a benchmark for "fair value." Prices above VWAP suggest bullishness (buyers in control), below indicate bearishness (sellers dominant). It's commonly used by institutional traders to assess entry/exit points. ### 5. **Plotting EMAs and VWAP** ```pine plot(ema9, color=color.fuchsia, title='EMA 9 (Hermes)') plot(ema20, color=color.red, title='EMA 20 (Apollo)') plot(ema50, color=color.orange, title='EMA 50 (Athena)') plot(ema100, color=color.aqua, title='EMA 100 (Zeus)') plot(ema200, color=color.blue, title='EMA 200 (Kronos)') plot(vwap_val, color=color.yellow, linewidth=2, title='VWAP') ``` - **What it does**: Overlays the EMAs and VWAP on the chart with distinct colors and titles for easy identification in TradingView's legend. - **Purpose**: Visualizes the EMA ribbon and VWAP line. Traders can watch for EMA alignments (e.g., all sloping up for uptrend) or price interactions with VWAP. ### 6. **Dynamic VWAP Band** ```pine band_pct = 0.005 vwap_upper = vwap_val * (1 + band_pct) vwap_lower = vwap_val * (1 - band_pct) p1 = plot(vwap_upper, color=color.new(color.yellow, 0), title="VWAP Upper Band") p2 = plot(vwap_lower, color=color.new(color.yellow, 0), title="VWAP Lower Band") fill_color = close >= vwap_val ? color.new(color.green, 80) : color.new(color.red, 80) fill(p1, p2, color=fill_color, title="Dynamic VWAP Band") ``` - **What it does**: Creates a band ±0.5% around the VWAP. - Plots the upper/lower bands with full transparency (color opacity 0, so lines are invisible). - Fills the area between them dynamically: Semi-transparent green (opacity 80) if close ≥ VWAP (bullish bias), red if below (bearish bias). - **Purpose**: Highlights deviations from VWAP visually. The color change provides an at-a-glance sentiment indicator—green for "above fair value" (potential strength), red for "below" (potential weakness). The narrow band (0.5%) focuses on short-term fairness, and the fill makes it easier to spot than just the line. ### 7. **Trend Clouds with VWAP Interaction** ```pine bullish = ema9 > ema20 and ema20 > ema50 bearish = ema9 < ema20 and ema20 < ema50 bullish_above_vwap = bullish and close > vwap_val bullish_below_vwap = bullish and close <= vwap_val bearish_below_vwap = bearish and close < vwap_val bearish_above_vwap = bearish and close >= vwap_val bgcolor(bullish_above_vwap ? color.new(color.green, 50) : na, title="Bullish Above VWAP") bgcolor(bullish_below_vwap ? color.new(color.green, 80) : na, title="Bullish Below VWAP") bgcolor(bearish_below_vwap ? color.new(color.red, 50) : na, title="Bearish Below VWAP") bgcolor(bearish_above_vwap ? color.new(color.red, 80) : na, title="Bearish Above VWAP") ``` - **What it does**: Defines trend conditions based on EMA alignments: - Bullish: Shorter EMAs stacked above longer ones (9 > 20 > 50, indicating upward momentum). - Bearish: The opposite (downward momentum). - Sub-conditions combine with VWAP: E.g., bullish_above_vwap is true only if bullish and price > VWAP. - Applies background colors (bgcolor) to the entire chart pane: - Strong bullish (above VWAP): Green with opacity 50 (less transparent, more intense). - Weak bullish (below VWAP): Green with opacity 80 (more transparent, less intense). - Strong bearish (below VWAP): Red with opacity 50. - Weak bearish (above VWAP): Red with opacity 80. - If no condition matches, no color (na). - **Purpose**: Creates "clouds" for trend visualization, enhanced by VWAP context. This helps traders confirm trends—e.g., a strong bullish cloud (darker green) suggests a high-conviction uptrend when price is above VWAP. The varying opacity differentiates signal strength: Darker for aligned conditions (trend + VWAP agreement), lighter for misaligned (potential weakening or reversal). ### Overall Indicator Usage and Limitations - **How to use it**: Add this to a TradingView chart (e.g., stocks, crypto, forex). Look for EMA crossovers, price bouncing off EMAs/VWAP, or cloud color changes as signals. Bullish clouds with price above VWAP might signal buys; bearish below for sells. - **Strengths**: Combines momentum (EMAs), volume (VWAP), and volatility adaptation for a multi-layered view. Dynamic colors make it intuitive. - **Limitations**: - EMAs lag in ranging markets; volatility adjustment helps but doesn't eliminate whipsaws. - VWAP resets daily (standard behavior), so it's best for intraday/session trading. - No alerts or inputs for customization (e.g., changeable lengths)—it's hardcoded. - Performance depends on the asset/timeframe; backtest before using. - **License**: Mozilla Public License 2.0, so it's open-source and modifiable.
Pine Script® Indikator
von Panos1389
EMA Cross + Inside BarWith the EMA Cross + Inside Bar script you can spot inside bars instantly. Based on the inside bar there is a call and a put trigger to help you find the key areas to look for long/short positions. It's also possible to show possible target areas based on a multiplier. The script is highly customizable and will be improved in the future. If you have questions or feedback just message me via X. And don't forget: Always do your own research :)
Pine Script® Indikator
von b221_roke
Custom MTF EMA CloudsVisualize market structure and trend alignment across multiple timeframes with six layered EMA clouds — from short-term momentum to macro trend anchors. Each pair of EMAs forms a dynamic cloud that adapts to your selected timeframe. Colors, lengths, and visibility are fully customizable, allowing you to tailor the setup for any trading style. ⚙️ Default Configuration EMA Short Long Purpose 1 8 13 🔸 Intraday momentum cloud (scalping layer) 2 21 24 🟩 Short-term trend confirmation 3 50 55 🔵 Medium-term swing structure 4 120 144 🔴 Long-term support/resistance band 5 200 238 🟠 Institutional trend foundation 6 400 460 🟣 Macro directional anchor 🧩 Features ✅ Up to 6 independent EMA clouds ✅ Fully customizable short & long lengths ✅ Individual line and cloud colors ✅ Toggle each layer on/off ✅ Works with any timeframe via the Resolution input ✅ Automatic cloud transparency for better chart clarity 📈 How to Use Use EMA 1–2 (8/13, 21/24) for momentum shifts and intraday entries. Use EMA 3–4 (50/55, 120/144) for swing confirmation and trend continuation. Use EMA 5–6 (200/238, 400/460) as long-term anchors to stay aligned with institutional flow. Watch for crossovers or price breaking in/out of clouds — they often precede strong directional moves.
Pine Script® Indikator
von shortbigly