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IU Fibonacci Levels For IntradayDESCRIPTION This indicator draws intraday Fibonacci levels from the opening price of the day using percentage-based retracements. It helps traders identify potential intraday support and resistance zones derived from the day’s opening bias. The levels are dynamically calculated and displayed with optional labels and customizable colors, making it an effective tool for both breakout and mean-reversion intraday strategies. USER INPUTS Direction Of The Level Choose whether to show Upside, Downside, or Both level sets based on your directional bias. Show Labels of Levels Option to enable or disable text labels displaying Fibonacci values and prices. Individual Level Toggles & Colors You can choose to show or hide each of the following Fibonacci levels and set their respective colors: * 0.236 * 0.328 * 0.500 * 0.618 * 0.786 * 1.000 INDICATOR LOGIC On the first bar of the session, the opening price is captured. Fibonacci levels are then calculated above and below this open using percentage multipliers (for example, day\_open + (day\_open \* 0.236%) for the 0.236 level). Depending on the selected direction, upside and/or downside levels are plotted. Filled zones are drawn between levels to visually highlight key price zones. Optionally, each level can be labeled with its Fibonacci value and price. WHY IT IS UNIQUE Unlike traditional swing-based Fibonacci retracements, this tool uses the day’s opening price as an anchor, specifically designed for intraday traders. Allows traders to quickly visualize micro-support and resistance levels that adapt every day. Highly customizable and easy to read, with filled level bands for better zone recognition. Works independently of indicators like RSI, MACD, or moving averages – purely based on price action logic. HOW USER CAN BENEFIT FROM IT Spot precise intraday reversal zones or breakout regions. Combine with price action or volume analysis for smarter entries. Filter trades by choosing directional bias (Up Site, Down Site, or Both). Set profit targets or stop-losses based on Fibonacci bands. Works great for scalpers, day traders, and even short-term swing traders looking to align with opening price momentum. Disclaimer This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
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Shivam_Mandrai tarafından
Prakash and Vicky TrendPrakash and Vicky Trend This indicator is designed to help traders identify potential trend changes and key price levels on the chart. It uses three weighted moving averages and the volume-weighted average price (VWAP) for a balanced view of short-term momentum, overall trend, and market value. The fast and slow moving averages generate buy and sell signals when they cross over or under each other, signaling shifts in market momentum. The longer-term moving average acts as a trend filter, helping traders see the bigger picture direction. VWAP offers a benchmark level watched by institutions, highlighting areas of value and potential support or resistance. This combination provides a simple yet effective framework for making trading decisions with a clear view of price action, trend strength, and key levels.
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prakash1126 tarafından
9AM–11AM NAS100 Session Box//@version=5 indicator("9AM–11AM NAS100 Session Box", overlay=true) // Define session times in New York (EST) session_start = timestamp("America/New_York", year, month, dayofmonth, 09, 0) session_end = timestamp("America/New_York", year, month, dayofmonth, 11, 0) // Detect if we're inside the session window in_session = (time >= session_start) and (time < session_end) // Track high/low of the session var float session_high = na var float session_low = na if (in_session) session_high := na(session_high) ? high : math.max(session_high, high) session_low := na(session_low) ? low : math.min(session_low, low) else session_high := na session_low := na // Draw the session box bgcolor(in_session ? color.new(color.blue, 85) : na) // Optionally draw lines at session high/low plot(in_session ? session_high : na, title="Session High", color=color.green, linewidth=1) plot(in_session ? session_low : na, title="Session Low", color=color.red, linewidth=1)
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bellsinclair tarafından
Modüler Trailing Stop (Doğru Ölçekli) 📌 Modular Trailing Stop – Advanced Risk Management for Long & Short Strategies Modular Trailing Stop is a dual-direction stop management tool that calculates independent stop levels for long and short positions. It is fully scale-adjusted, strategy-agnostic, and optimized for TradingView integration. 🚀 Key Features 🔹 Dual-Side Stop Logic Separate Ref High and Stop levels for long and short trades, allowing precise and directional control. 🔹 Modular Architecture Designed to be easily integrated into any indicator or strategy. Operates independently from entry signals. 🔹 Accurate Price Scaling Automatically adjusts to symbol tick size using syminfo.mintick, ensuring precision across all markets (BTCUSD, ETHUSD, USDTRY...). 🔹 Static Trailing Logic Once a position is opened, stop levels are anchored to a fixed reference price and adjusted by ATR volatility. 🔹 User-Configurable - Customizable ATR period and multiplier - Manual reference high percentages for long and short - Real-time table display on the chart with key values ⚙️ Calculation Formulas - Ref High (Long) = Base Price × (1 + %Offset) × scaleFix - Ref High (Short) = Base Price × (1 - %Offset) × scaleFix - Step = ATR × Multiplier - Long Stop = Ref High (Long) – Step - Short Stop = Ref High (Short) + Step 📈 Use Cases - Volatility-based static stop-loss framework - Compatible with RSI, EMA crossover, breakout, and custom signal systems - Backtesting via TradingView Strategy Tester (WinRate, Sharpe, AvgPnL...) 🧪 Example Backtest (BTCUSDT, 4H Timeframe) - Win Rate: 41.9% - Sharpe Ratio: 0.27 - Profit Factor: 1.31 - Avg Trade Duration: 18 bars - Test Strategy: RSI-based entries + modular trailing stops 🧩 Strategy Integration (Sample) strategy.exit("Long Exit", from_entry="Long", stop=longStop) strategy.exit("Short Exit", from_entry="Short", stop=shortStop) 🏁 Summary Modular Trailing Stop is a robust and intuitive stop-loss management tool. It can be used as a standalone module or combined with any strategy for improved position handling, effective drawdown control, and systematic risk management. Whether you're building strategies or optimizing entries and exits, this tool brings precision and modular flexibility to your trading workflow.
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ALCIVOOO tarafından
Normalized EMA Cycle (NEC)Normalized EMA Cycle (NEC) The Normalized EMA Cycle (NEC) is a versatile momentum and trend reversal tool designed to detect high-probability turning points and gauge the strength of price cycles. It combines fast and slow Exponential Moving Averages (EMAs), dynamic normalization, and adaptive transparency to create clear, intuitive reversal signals on the chart. 🔹 How It Works EMA Differencing The NEC calculates the difference between a fast EMA and a slower EMA: Fast EMA Length (default 6) captures short-term momentum. Slow EMA Length (default 16) tracks broader trends. The slope of this difference identifies accelerating or decelerating momentum. Normalization to 0–100 Scale The raw EMA difference is scaled relative to the recent Alpha Period range (default 6 bars). This transforms the value into a normalized oscillator ranging between 0 and 100. A 3-period Hull Moving Average (HMA) smooths this series to reduce noise. Overbought and Oversold Thresholds By default: Overbought Level: 75 Oversold Level: 25 Crossovers of these levels are used to detect potential reversals. Adaptive Alpha Adjustment The normalized value is transformed into an “Alpha Schaff” line, dynamically shifting between price and normalized cycles. This helps the model adjust to different volatility regimes. Trend Reversal Logic Bullish Reversal: Normalized oscillator crosses above the Oversold Level. EMA difference slope is positive. Bearish Reversal: Normalized oscillator crosses below the Overbought Level. EMA difference slope is negative. Additional confirmation comes when price crosses the Alpha Schaff line in the direction of momentum. Dynamic Confidence Visualization The indicator calculates a trend confidence score based on the normalized separation of the EMAs. The transparency of reversal markers dynamically adjusts: Strong trends = more opaque signals Weak trends = more transparent signals 🔹 How to Use ✅ Entries Long Signal: Aqua upward label appears below a bar. Conditions: Bullish reversal or price crossing above Alpha Schaff Normalized slope is rising Short Signal: Fuchsia downward label appears above a bar. Conditions: Bearish reversal or price crossing below Alpha Schaff Normalized slope is falling ✅ Trend Strength The less transparent the signal marker, the more significant the trend. ✅ Customization Use the inputs to fine-tune sensitivity: Shorter EMAs: Faster signals Longer EMAs: Smoother trends Alpha Period: Adjusts the lookback range for normalization 🟢 Best Practices NEC is best used in combination with other trend confirmation tools (e.g., price structure, volume, or higher timeframe EMAs). Avoid relying on signals in extremely low-volume or choppy ranges. ⚠️ Disclaimer This script is intended for educational purposes only and does not constitute financial advice. Trading involves substantial risk, and you should consult your financial advisor before making any investment decisions.
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RWCS_LTD tarafından
JIYANS FVGJIYAN'S FVG is a powerful Fair Value Gap (FVG) indicator designed to help traders visually identify and track bullish and bearish imbalances across customizable timeframes. The script automatically detects FVGs based on market structure and plots them with shaded boxes and clear boundary lines on the chart. Key Features: Multi-Timeframe Detection: Select your preferred timeframe for FVG detection (e.g., H4, H1, M30). Visual Clarity: Displays shaded gaps with customizable colors, upper and lower boundary lines, and optional midpoint lines for precise reference. Dynamic Management: Automatically removes mitigated (filled) gaps to keep the chart clean and focused. Labeling: Annotates each FVG with the selected timeframe for easy tracking. Alerts: Built-in alerts notify you when a new FVG forms or when price touches the boundary of an existing unmitigated FVG. This tool is perfect for traders who rely on price imbalances and fair value gaps to identify potential trading opportunities and key areas of interest.
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priteshkhetani001 tarafından
ETF Leverage VerificationDo leveraged ETFs really return what they promise? Do they return the exact 2x or 3x? Or a slightly different multiple? How much do they deviate from the promised leverage multiples? Do these deviations impact investors in a positive or negative manner? These are the questions that I want to answer with this indicator. The ETF Leverage Verification indicator challenges the conventional understanding of leveraged ETFs by measuring how they actually perform versus their theoretical targets. Instead of assuming leveraged ETFs perfectly track their target multiple, this indicator quantifies the real-world behavior by comparing the expected returns versus the actual results on every trading day. Key Features Measures actual versus expected performance of leveraged ETFs Tracks deviation patterns across thousands of trading days Identifies asymmetric behavior in up versus down markets Quantifies beneficial "cushioning effect" during market declines Provides statistical summary of performance patterns Works with any leverage factor (2x, 3x, -1x, etc.) Compatible with all leveraged ETFs (equity, bond, commodity, volatility) How to Use the Indicator Enter the Expected Leverage Factor (default: 2.0) Select the Base Asset (underlying index, e.g., SPX) Select the Leveraged Asset (leveraged ETF, e.g., SSO) Understanding the Results Green markers: Days when the ETF outperformed its expected multiple Red markers: Days when the ETF underperformed its expected multiple Data Table: Positive Deviations: Count of days with better-than-expected performance Negative Deviations: Count of days with worse-than-expected performance Avg Deviation: Average magnitude of deviation from expected returns Frequency Skew: Difference between beneficial deviations in down vs. up markets Impact: Overall assessment of pattern benefit to investors Summary Label: Percentage of positive deviations in up and down markets Total sample size for statistical significance Key Patterns to Look For Positive Deviation in Negative Days: This occurs when a leveraged ETF falls less than expected during market declines. For example, if SPX falls 1% and a 2x ETF falls only 1.8% (instead of the expected 2%), this creates a +0.2% deviation. This pattern is beneficial as it provides downside protection. Negative Deviation in Positive Days: This happens when a leveraged ETF rises less than expected during market advances. For example, if SPX rises 1% and a 2x ETF rises only 1.9% (instead of the expected 2%), this creates a -0.1% deviation. This pattern reduces upside performance. Frequency Skew: The most critical metric that measures how much more frequently beneficial deviations occur in down markets compared to up markets. A higher positive skew indicates a stronger asymmetric pattern that helps long-term performance. Mathematical Background The indicator computes the deviation between expected and actual performance: Deviation = Actual Return - Expected Return Where: Expected Return = Base Asset Return × Leverage Factor The deviation is then categorized into four possible outcomes: Positive deviation on positive market days Negative deviation on positive market days Positive deviation on negative market days Negative deviation on negative market days In short, more positive deviations are good for investors. Please feel free to criticize. I'm happy to improve the indicator.
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HenriqueCentieiro tarafından
Omori Law Recovery PhasesWhat is the Omori Law? Originally a seismological model, the Omori Law describes how earthquake aftershocks decay over time. It follows a power law relationship: the frequency of aftershocks decreases roughly proportionally to 1/(t+c)^p, where: t = time since the main shock c = time offset constant p = power law exponent (typically around 1.0) Application to the markets Financial markets experience "aftershocks" similar to earthquakes: Market Crashes as Main Shocks: Major market declines (crashes) represent the initial shock event. Volatility Decay: After a crash, market volatility typically declines following a power law pattern rather than a linear or exponential one. Behavioral Components: The decay pattern reflects collective market psychology - initial panic gives way to uncertainty, then stabilization, and finally normalization. The Four Recovery Phases The Omori decay pattern in markets can be divided into distinct phases: Acute Phase: Immediately after the crash, characterized by extreme volatility, panic selling, and sharp reversals. Trading is hazardous. Reaction Phase: Volatility begins decreasing, but markets test previous levels. False rallies and retests of lows are common. Repair Phase: Structure returns to the market. Volatility approaches normal levels, and traditional technical analysis becomes more reliable. Recovery Phase: The final stage where market behavior normalizes completely. The impact of the original shock has fully decayed. Why It Matters for Traders Understanding where the market stands in this recovery cycle provides valuable context: Risk Management: Adjust position sizing based on the current phase Strategy Selection: Different strategies work in different phases Psychological Preparation: Know what to expect based on the phase Time Horizon Guidance: Each phase suggests appropriate time frames for trading
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HenriqueCentieiro tarafından
Alpha Trader University - Market Structure AnalysisAlpha Trader University - Market Structure Analysis Indicator EDUCATIONAL OVERVIEW: This comprehensive indicator teaches traders professional market structure analysis through two proven methodologies: Fractal Analysis and Pivot Point Structure Tracking. Designed for educational purposes to help traders understand price action and market psychology. CORE METHODOLOGY: 1. FRACTAL ANALYSIS (Bill Williams Approach): - Identifies swing highs and lows using 3-bar or 5-bar patterns - 3-bar fractals: More sensitive, catches smaller swings - 5-bar fractals: More conservative, higher probability signals - Visual markers help identify key support/resistance levels 2. MARKET STRUCTURE TRACKING: - Automatically identifies Higher Highs (HH), Lower Highs (LH), Lower Lows (LL), Higher Lows (HL) - Color-coded labels for easy trend identification - Customizable pivot detection sensitivity - Real-time structure classification EDUCATIONAL VALUE: - Learn to identify trend direction through structure analysis - Understand the psychology behind market movements - Develop skills in reading price action patterns - Build foundation for advanced trading strategies TRADING APPLICATIONS: - Trend Identification: HH+HL = Uptrend, LH+LL = Downtrend - Entry Timing: Enter after structure confirmation - Stop Loss Placement: Use fractal levels for risk management - Confluence Trading: Combine with other technical analysis tools UNIQUE FEATURES: - Dual analysis approach (Fractals + Structure) - Educational tooltips and guidance - Customizable sensitivity settings - Professional color-coding system - Clean, non-cluttered visual design SETTINGS EXPLANATION: - Fractal Sensitivity: Choose between 3-bar (sensitive) or 5-bar (conservative) - Structure Labels: Toggle HH/LH/LL/HL display - Pivot Settings: Adjust left/right bars for confirmation - Color Customization: Personalize visual appearance This indicator combines classical technical analysis principles with modern Pine Script efficiency, providing traders with essential market structure identification tools for educational and analytical purposes. DISCLAIMER: This indicator is for educational purposes. Always combine with proper risk management and additional analysis before making trading decisions.
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umarpnj tarafından
BTCUSD 5m Aggressive Buy/Sell Signals v2 with AlertsThis indicator highlights potential buy and sell opportunities on the BTCUSD 5-minute chart. It plots visual signals on the chart and includes optional TradingView alerts for fast notifications. Key features: - Aggressive scalp-style signals - 5-minute timeframe focus - Simple and clean logic with clear markers - Integrated alerts for buy and sell triggers ⚠️ Disclaimer: This script is for educational and informational purposes only. It is not financial advice. Use at your own risk and always manage your positions responsibly.
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fuad_saffo tarafından