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Gabriel's Witcher Strategy [65 Minute Trading Bot]Strategy Description: Gabriel's Witcher Strategy Author: Gabriel Platform: TradingView Pine Script (Version 5) Backtested Asset: Avalanche (Coinbase Brokage for Volume adjustment) Timeframe: 65 Minutes Strategy Type: Comprehensive Trend-Following and Momentum Strategy with Scalping and Risk Management Features Overview Gabriel's Witcher Strategy is an advanced trading bot designed for the Avalanche pair on a 65-minute timeframe. This strategy integrates a multitude of technical indicators to identify and execute high-probability trading opportunities. By combining trend-following, momentum, volume analysis, and range filtering, the strategy aims to capitalize on both long and short market movements. Additionally, it incorporates scalping mechanisms and robust risk management features, including take-profit (TP) levels and commission considerations, to optimize trade performance and profitability. ====Key Components==== Source Selection: Custom Source Flexibility: Allows traders to select from a wide range of price and volume sources (e.g., Close, Open, High, Low, HL2, HLC3, OHLC4, VWAP, On-Balance Volume, etc.) for indicator calculations, enhancing adaptability to various trading styles. Various curves of Volume Analysis are employed: Tick Volume Calculation: Utilizes tick volume as a fallback when actual volume data is unavailable, ensuring consistency across different data feeds. Volume Indicators: Incorporates multiple volume-based indicators such as On-Balance Volume (OBV), Accumulation/Distribution (AccDist), Negative Volume Index (NVI), Positive Volume Index (PVI), and Price Volume Trend (PVT) for comprehensive market analysis. Trend Indicators: ADX (Average Directional Index): Measures trend strength using either the Classic or Masanakamura method, with customizable length and threshold settings. It's used to open positions when the mesured trend is strong, or exit when its weak. Jurik Moving Average (JMA): A smooth moving average that reduces lag, configurable with various parameters including source, resolution, and repainting options. Parabolic SAR: Identifies potential reversals in market trends with adjustable start, increment, and maximum settings. Custom Trend Indicator: Utilizes highest and lowest price points over a specified timeframe to determine current and previous trend bases, visually represented with color-filled areas. Momentum Indicators: Relative Strength Index (RSI): Evaluates the speed and change of price movements, smoothed with a custom length and source. It's used to not enter the market for shorts in oversold or longs for overbought conditions, and to enter for long in oversold or shorts for overboughts. Momentum-Based Calculations: Employs both Double Exponential Moving Averages (DEMA) on a MACD-based RSI to enhance momentum signal accuracy which is then further accelerated by a Hull MA. This is the technical analysis tool that determines bearish or bullish momentum. OBV-Based Momentum Conditions: Uses two exponential moving averages of OBV to determine bullish or bearish momentum shifts, anomalities, breakouts where banks flow their funds in or Smart Money Concepts trade. Moving Averages (MA): Multiple MA Types: Includes Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), Hull Moving Average (HMA), and Volume-Weighted Moving Average (VWMA), selectable via input parameters. MA Speed Calculation: Measures the percentage change in MA values to determine the direction and speed of the trend. Range Filtering: Variance-Based Filter: Utilizes variance and moving averages to filter out trades during low-volatility periods, enhancing trade quality. Color-Coded Range Indicators: Visualizes range filtering with color changes on the chart for quick assessment. Scalping Mechanism: Heikin-Ashi Candles: Optionally uses Heikin-Ashi candles for smoother price action analysis. EMA-Based Trend Detection: Employs fast, medium, and slow EMAs to determine trend direction and potential entry points. Fractal-Based Filtering: Detects regular or BW (Black & White) fractals to confirm trade signals. Take Profit (TP) Management: Dynamic TP Levels: Calculates TP levels based on the number of consecutive long or short entries, adjusting targets to maximize profits. TP Signals and Re-Entry: Plots TP signals on the chart and allows for automatic re-entry upon TP hit, maintaining continuous trade flow. Risk Management: Commission Integration: Accounts for trading commissions to ensure net profitability. Position Sizing: Configured to use a percentage of equity for each trade, adjustable via input parameters. Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends. Alerts and Visual Indicators: Buy/Sell Signals: Plots visual indicators (triangles and flags) on the chart to signify entry and TP points. Bar Coloring: Changes bar colors based on ADX and trend conditions for immediate visual cues. Price Levels: Marks significant price levels related to TP and position entries with cross styles. Input Parameters Source Settings: Custom Sources (srcinput): Choose from various price and volume sources to tailor indicator calculations. ADX Settings: ADX Type (ADX_options): Select between 'CLASSIC' and 'MASANAKAMURA' methods. ADX Length (ADX_len): Defines the period for ADX calculation. ADX Threshold (th): Sets the minimum ADX value to consider a strong trend. RSI Settings: RSI Length (len_3): Period for RSI calculation. RSI Source (src_3): Source data for RSI. Trend Strength Settings: Channel Length (n1): Period for trend channel calculation. Average Length (n2): Period for smoothing trend strength. Jurik Moving Average (JMA) Settings: JMA Source (inp): Source data for JMA. JMA Resolution (reso): Timeframe for JMA calculation. JMA Repainting (rep): Option to allow JMA to repaint. JMA Length (lengths): Period for JMA. Parabolic SAR Settings: SAR Start (start): Initial acceleration factor. SAR Increment (increment): Acceleration factor increment. SAR Maximum (maximum): Maximum acceleration factor. SAR Point Width (width): Visual width of SAR points. Trend Indicator Settings: Trend Timeframe (timeframe): Period for trend indicator calculations. Momentum Settings: Source Type (srcType): Select between 'Price' and 'VWAP'. Momentum Source (srcPrice): Source data for momentum calculations. RSI Length (rsiLen): Period for momentum RSI. Smooth Length (sLen): Smoothing period for momentum RSI. OBV Settings: OBV Line 1 (e1): EMA period for OBV line 1. OBV Line 2 (e2): EMA period for OBV line 2. Moving Average (MA) Settings: MA Length (length): Period for MA calculations. MA Type (matype): Select MA type (1: SMA, 2: EMA, 3: HMA, 4: WMA, 5: VWMA). Range Filter Settings: Range Filter Length (length0): Period for range filtering. Range Filter Multiplier (mult): Multiplier for range variance. Take Profit (TP) Settings: TP Long (tp_long0): Percentage for long TP. TP Short (tp_short0): Percentage for short TP. Scalping Settings: Scalping Activation (ACT_SCLP): Enable or disable scalping. Scalping Length (HiLoLen): Period for scalping indicators. Fast EMA Length (fastEMAlength): Period for fast EMA in scalping. Medium EMA Length (mediumEMAlength): Period for medium EMA in scalping. Slow EMA Length (slowEMAlength): Period for slow EMA in scalping. Filter (filterBW): Enable or disable additional fractal filtering. Pullback Lookback (Lookback): Number of bars for pullback consideration. Use Heikin-Ashi Candles (UseHAcandles): Option to use Heikin-Ashi candles for smoother trend analysis. Strategy Logic Indicator Calculations: Volume and Source Selection: Determines the primary data source based on user input, ensuring flexibility and adaptability. ADX Calculation: Computes ADX using either the Classic or Masanakamura method to assess trend strength. RSI Calculation: Evaluates market momentum using RSI, further smoothed with custom periods. Trend Strength Assessment: Utilizes trend channel and average lengths to gauge the robustness of current trends. Jurik Moving Average (JMA): Smooths price data to reduce lag and enhance trend detection. Parabolic SAR: Identifies potential trend reversals with adjustable parameters for sensitivity. Momentum Analysis: Combines RSI with DEMA and OBV-based conditions to confirm bullish or bearish momentum. Moving Averages: Employs multiple MA types to determine trend direction and speed. Range Filtering: Filters out low-volatility periods to focus on high-probability trades. Trade Conditions: Long Entry Conditions: ADX Confirmation: ADX must be above the threshold, indicating a strong uptrend. RSI and Momentum: RSI below 70 and positive momentum signals. JMA and SAR: JMA indicates an uptrend, and Parabolic SAR is below the price. Trend Indicator: Confirms the current trend direction. Range Filter: Ensures market is in an upward range. Scalping Option: If enabled, additional scalping conditions must be met. Short Entry Conditions: ADX Confirmation: ADX must be above the threshold, indicating a strong downtrend. RSI and Momentum: RSI above 30 and negative momentum signals. JMA and SAR: JMA indicates a downtrend, and Parabolic SAR is above the price. Trend Indicator: Confirms the current trend direction. Range Filter: Ensures market is in a downward range. Scalping Option: If enabled, additional scalping conditions must be met. Position Management: Entry Execution: Places long or short orders based on the identified conditions and user-selected position types (Longs, Shorts, or Both). Take Profit (TP): Automatically sets TP levels based on predefined percentages, adjusting dynamically with consecutive trades. Re-Entry Mechanism: Allows for automatic re-entry upon TP hit, maintaining active trading positions. Exit Conditions: Closes positions when TP levels are reached or when opposing trend signals are detected. Visual Indicators: Bar Coloring: Highlights bars in green for bullish conditions, red for bearish, and orange for neutral. Plotting Price Levels: Marks significant price levels related to TP and trade entries with cross symbols. Signal Shapes: Displays triangle and flag shapes on the chart to indicate trade entries and TP hits. Alerts: Custom Alerts: Configured to notify traders of long entries, short entries, and TP hits, enabling timely trade management and execution. Usage Instructions Setup: Apply the Strategy: Add the script to your TradingView chart set to BTCUSDT with a 65-minute timeframe. Configure Inputs: Adjust the input parameters under their respective groups (e.g., Source Settings, ADX, RSI, Trend Strength, etc.) to match your trading preferences and risk tolerance. Position Selection: Choose Position Type: Use the Position input to select Longs, Shorts, or Both based on your market outlook. Execution: The strategy will automatically execute and manage positions according to the selected type, ensuring targeted trading actions. Signal Interpretation: Buy Signals: Blue triangles below the bars indicate potential long entry points. Sell Signals: Red triangles above the bars indicate potential short entry points. Take Profit Signals: Flags above or below the bars signify TP hits for long and short positions, respectively. Bar Colors: Green bars suggest bullish conditions, red bars indicate bearish conditions, and orange bars represent neutral or consolidating markets. Risk Management: Default Position Size: Set to 100% of equity. Adjust the default_qty_value as needed for your risk management strategy. Commission: Accounts for a 0.1% commission per trade. Adjust the commission_value to match your broker's fees. Pyramiding: Allows up to one additional position per direction to enhance gains during strong trends. Backtesting and Optimization: Historical Testing: Utilize TradingView's backtesting features to evaluate the strategy's performance over historical data. Parameter Tuning: Optimize input parameters to align the strategy with current market dynamics and personal trading objectives. Alerts Configuration: Set Up Alerts: Enable and configure alerts based on the predefined alertcondition statements to receive real-time notifications of trade signals and TP hits. Additional Features Comprehensive Indicator Integration: Combines multiple technical indicators to provide a holistic view of market conditions, enhancing trade signal accuracy. Scalping Options: Offers an optional scalping mechanism to capitalize on short-term price movements, increasing trading flexibility. Dynamic Take Profit Levels: Adjusts TP targets based on the number of consecutive trades, maximizing profit potential during favorable trends. Advanced Volume Analysis: Utilizes various volume indicators to confirm trend strength and validate trade signals. Customizable Range Filtering: Filters trades based on market volatility, ensuring trades are taken during optimal conditions. Heikin-Ashi Candle Support: Optionally uses Heikin-Ashi candles for smoother price action analysis and reduced noise. ====Recommendations==== Thorough Backtesting: Historical Performance: Before deploying the strategy in a live trading environment, perform comprehensive backtesting to understand its performance under various market conditions. These are the premium settings for Avalanche Coinbase. Optimization: Regularly review and adjust input parameters to ensure the strategy remains effective amidst changing market volatility and trends. Backtest the strategy for each crypto and make sure you are in the right brokage when using the volume sources as it will affect the overall outcome of the trading strategy. Risk Management: Position Sizing: Adjust the default_qty_value to align with your risk tolerance and account size. Stop-Loss Implementation: Although the strategy includes TP levels, they're also consided to be a stop-loss mechanisms to protect against adverse market movements. Commission Adjustment: Ensure the commission_value accurately reflects your broker's fees to maintain realistic backtesting results. Generally, 0.1~0.3% are most of the average broker's comission fees. Slipage: The slip comssion is 1 Tick, since the strategy is adjusted to only enter/exit on bar close where most positions are available. Continuous Monitoring: Strategy Performance: Regularly monitor the strategy's performance to ensure it operates as expected and make adjustments as needed. A max-drawndown hit has been added to operate in case the premium Avalanche settings go wrong, but you can turn it off an adjust the equity percentage to 50% if you are confortable with the high volatile max-drown or even 100% if your account allows you to borrow cash. Customization: Indicator Parameters: Tailor indicator settings (e.g., ADX length, RSI period, MA types) to better fit your specific trading style and market conditions. Scalping Options: Enable or disable scalping based on your trading preferences and risk appetite. Conclusion Gabriel's Witcher Strategy is a robust and versatile trading solution designed to navigate the complexities of the Crypto market. By integrating a wide array of technical indicators and providing extensive customization options, this strategy empowers traders to execute informed and strategic trades. Its comprehensive approach, combining trend analysis, momentum detection, volume evaluation, and range filtering, ensures that trades are taken during optimal market conditions. Additionally, the inclusion of scalping features and dynamic take-profit management enhances the strategy's adaptability and profitability potential. Unlike any trading strategy, with both diligent testing and continuous monitoring under the strategy tester, it's possible to achieve sustained success by adjusting the settings to the individual Crypto that need it, for example this one is preset for Avalanche Coinbase 65 Miinutes but it can be adjust for BTCUSD or Etherium if you backtest and search for the right settings.
Стратегия Pine Script®
от GabrielAmadeusLau
Grothendieck-Teichmüller Geometric SynthesisDskyz's Grothendieck-Teichmüller Geometric Synthesis (GTGS) THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES The 🎓 GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementation—such a task would demand computational power far beyond current trading platforms—it leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures. 1. Grothendieck-Teichmüller Theory: Deforming Market Structure The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces. Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts. 2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency. Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty. 3. Tropical Geometry: Simplifying Complexity The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication. Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly. 4. Motivic Cohomology & Non-Commutative Geometry The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces. Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements. 5. Perfectoid Spaces & Homotopy Type Theory The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics. Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis. The Combination is Key : No single theory dominates. GTGS ’s Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains. 🎛️ INPUTS: CONFIGURING THE GEOMETRIC ENGINE The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision. Grothendieck-Teichmüller Theory Inputs 🧬 Deformation Depth (Absolute Galois) : What It Is : Controls the depth of Galois group deformations analyzed in market structure. How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries. Optimization : Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D). Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min). Timeframes : Scalping (1-5min) : 3-6 for quick local shifts. Day Trading (15min-1H) : 8-12 for balanced analysis. Swing Trading (4H-1D) : 12-20 for deep structural trends. Sectors : Stocks : Use 8-12 for stable trends. Crypto : 3-8 for volatile, short-term moves. Forex : 12-15 for smooth, cyclical patterns. Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity. 🗼 Teichmüller Tower Height : What It Is : Determines the height of the Teichmüller modular tower for hierarchical pattern detection. How It Works : Builds modular levels to identify nested market patterns. Optimization : Higher Values (6-8) : Detects complex fractals, ideal for swing trading. Lower Values (2-4) : Focuses on primary patterns, faster for scalping. Timeframes : Scalping : 2-3 for speed. Day Trading : 4-5 for balanced patterns. Swing Trading : 5-8 for deep fractals. Sectors : Indices : 5-8 for robust, long-term patterns. Crypto : 2-4 for rapid shifts. Commodities : 4-6 for cyclical trends. Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware. 🔢 Galois Prime Base : What It Is : Sets the prime base for Galois field computations. How It Works : Defines the field extension characteristic for market analysis. Optimization : Prime Characteristics : 2 : Binary markets (up/down). 3 : Ternary states (bull/bear/neutral). 5 : Pentagonal symmetry (Elliott waves). 7 : Heptagonal cycles (weekly patterns). 11,13,17,19 : Higher-order patterns. Timeframes : Scalping/Day Trading : 2 or 3 for simplicity. Swing Trading : 5 or 7 for wave or cycle detection. Sectors : Forex : 5 for Elliott wave alignment. Stocks : 7 for weekly cycle consistency. Crypto : 3 for volatile state shifts. Pro Tip : Use 7 for most markets; 5 for Elliott wave traders. Topos Theory & Sheaf Cohomology Inputs 🏛️ Temporal Site Size : What It Is : Defines the number of time points in the topological site. How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness. Optimization : Higher Values (30-50) : Smoother cohomology, better for trends in swing trading. Lower Values (5-15) : Responsive, ideal for reversals in scalping. Timeframes : Scalping : 5-10 for quick responses. Day Trading : 15-25 for balanced analysis. Swing Trading : 25-50 for smooth trends. Sectors : Stocks : 25-35 for stable trends. Crypto : 5-15 for volatility. Forex : 20-30 for smooth cycles. Pro Tip : Match site size to your average holding period in bars for optimal coherence. 📐 Sheaf Cohomology Degree : What It Is : Sets the maximum degree of cohomology groups computed. How It Works : Higher degrees capture complex topological obstructions. Optimization : Degree Meanings : 1 : Simple obstructions (basic support/resistance). 2 : Cohomological pairs (double tops/bottoms). 3 : Triple intersections (complex patterns). 4-5 : Higher-order structures (rare events). Timeframes : Scalping/Day Trading : 1-2 for simplicity. Swing Trading : 3 for complex patterns. Sectors : Indices : 2-3 for robust patterns. Crypto : 1-2 for rapid shifts. Commodities : 3-4 for cyclical events. Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection. 🌐 Grothendieck Topology : What It Is : Chooses the Grothendieck topology for the site. How It Works : Affects how local data integrates into global patterns. Optimization : Topology Characteristics : Étale : Finest topology, captures local-global principles. Nisnevich : A1-invariant, good for trends. Zariski : Coarse but robust, filters noise. Fpqc : Faithfully flat, highly sensitive. Sectors : Stocks : Zariski for stability. Crypto : Étale for sensitivity. Forex : Nisnevich for smooth trends. Indices : Zariski for robustness. Timeframes : Scalping : Étale for precision. Swing Trading : Nisnevich or Zariski for reliability. Pro Tip : Start with Étale for precision; switch to Zariski in noisy markets. Unified Field Configuration Inputs ⚛️ Field Coupling Constant : What It Is : Sets the interaction strength between geometric components. How It Works : Controls signal amplification in the unified field equation. Optimization : Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets. Lower Values (0.001-0.1) : Subtle signals for trending markets. Timeframes : Scalping : 0.5-0.8 for quick, strong signals. Swing Trading : 0.1-0.3 for trend confirmation. Sectors : Crypto : 0.5-1.0 for volatility. Stocks : 0.1-0.3 for stability. Forex : 0.3-0.5 for balance. Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets. 📐 Geometric Weighting Scheme : What It Is : Determines the framework for combining geometric components. How It Works : Adjusts emphasis on different mathematical structures. Optimization : Scheme Characteristics : Canonical : Equal weighting, balanced. Derived : Emphasizes higher-order structures. Motivic : Prioritizes arithmetic properties. Spectral : Focuses on frequency domain. Sectors : Stocks : Canonical for balance. Crypto : Spectral for volatility. Forex : Derived for structured moves. Indices : Motivic for arithmetic cycles. Timeframes : Day Trading : Canonical or Derived for flexibility. Swing Trading : Motivic for long-term cycles. Pro Tip : Start with Canonical; experiment with Spectral in volatile markets. Dashboard and Visual Configuration Inputs 📋 Show Enhanced Dashboard, 📏 Size, 📍 Position : What They Are : Control dashboard visibility, size, and placement. How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality . Optimization : Scalping : Small size, Bottom Right for minimal chart obstruction. Swing Trading : Large size, Top Right for detailed analysis. Sectors : Universal across markets; adjust size based on screen setup. Pro Tip : Use Large for analysis, Small for live trading. 📐 Show Motivic Cohomology Bands, 🌊 Morphism Flow, 🔮 Future Projection, 🔷 Holographic Mesh, ⚛️ Spectral Flow : What They Are : Toggle visual elements representing mathematical calculations. How They Work : Provide intuitive representations of market dynamics. Optimization : Timeframes : Scalping : Enable Morphism Flow and Spectral Flow for momentum. Swing Trading : Enable all for comprehensive analysis. Sectors : Crypto : Emphasize Morphism Flow and Future Projection for volatility. Stocks : Focus on Cohomology Bands for stable trends. Pro Tip : Disable non-essential visuals in fast markets to reduce clutter. 🌫️ Field Transparency, 🔄 Web Recursion Depth, 🎨 Mesh Color Scheme : What They Are : Adjust visual clarity, complexity, and color. How They Work : Enhance interpretability of visual elements. Optimization : Transparency : 30-50 for balanced visibility; lower for analysis. Recursion Depth : 6-8 for balanced detail; lower for older hardware. Color Scheme : Purple/Blue : Analytical focus. Green/Orange : Trading momentum. Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading. ⏱️ Minimum Bars Between Signals : What It Is : Minimum number of bars required between consecutive signals. How It Works : Prevents signal clustering by enforcing a cooldown period. Optimization : Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading. Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping. Timeframes : Scalping : 0-2 bars for rapid signals. Day Trading : 3-5 bars for balance. Swing Trading : 5-10 bars for stability. Sectors : Crypto : 0-3 for volatility. Stocks : 5-10 for trend clarity. Forex : 3-7 for cyclical moves. Pro Tip : Increase in choppy markets to filter noise. Hardcoded Parameters Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence). Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets. 🎨 ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE The GTTMTSF ’s visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions. Motivic Cohomology Bands : What They Are : Dynamic bands ( H⁰ , H¹ , H² ) representing cohomological support/resistance. Color & Meaning : Colors reflect energy levels ( H⁰ tightest, H² widest). Breaks into H¹ signal momentum; H² touches suggest reversals. How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups. Morphism Flow (Webbing) : What It Is : White particle streams visualizing market momentum. Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation. How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts. Future Projection Web (Fractal Grid) : What It Is : Fibonacci-period fractal projections of support/resistance. Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (φ), resonance (ρ), and obstruction ( H¹ ). ⚡ marks extreme anomalies. How to Trade : Target ⚡/● levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups. Holographic Mesh & Spectral Flow : What They Are : Visuals of harmonic interference and spectral energy. How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement. 📊 THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL The Dashboard translates complex mathematics into actionable intelligence. Unified Field & Signals : FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations. RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves. SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups. Geometric Components : What They Are : Breakdown of seven mathematical engines. How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening. Signal Performance : What It Is : Tracks indicator signal performance. How to Use : Assesses real-time performance to build confidence and understand system behavior. 🚀 DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series. Why This Is Unlike Anything Else : Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools. Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field . Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice. Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding. The GTTMTSF is more than an indicator; it’s a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos. " Where there is matter, there is geometry. " - Johannes Kepler — Dskyz , Trade with insight. Trade with anticipation.
Индикатор Pine Script®
от DskyzInvestments
5
RSI 3 Time FrameRSI 3 Time Frames Indicator Overview The RSI 3 Time Frames Indicator is designed to provide traders with a comprehensive view of the Relative Strength Index (RSI) across three different timeframes: Ripple (short-term), Wave (medium-term), and Tide (long-term). By combining insights from multiple timeframes on a single chart, traders can identify momentum, overbought/oversold conditions, and confluence zones for better decision-making. This indicator is highly customizable, enabling you to adjust RSI timeframes, line colors, thickness, and reference levels such as oversold/overbought areas. Features Multi-Timeframe RSI Analysis: Ripple RSI: Captures short-term momentum (default: 5-minute RSI) for quick entries and scalping. Wave RSI: Provides medium-term RSI perspective (default: 15-minute RSI) for day trading setups. Tide RSI: Gives broader trends and momentum shifts (default: 60-minute RSI) suitable for swing trading. Key RSI Reference Levels: Horizontal lines show critical RSI levels to help traders interpret conditions: Oversold Zone: 20 (Oversold Extreme) → Green dotted line. 30 (Oversold) → Green dotted line. Neutral Zone: 40 (Neutral Low) → Orange dotted line. 50 (Midpoint) → Black dotted line. 60 (Neutral High) → Orange dotted line. Overbought Zone: 70 (Overbought) → Red dotted line. 80 (Overbought Extreme) → Red dotted line. Customizable Options: Adjust RSI line color, width, and timeframes to fit your trading needs. Customize horizontal level line colors and styles (dotted, dashed, or solid). Easy-to-Interpret Design: All RSI lines and reference levels are visualized clearly to help you identify overbought/oversold zones, neutral levels, and overall market momentum across multiple perspectives. Recommended Use Cases Scalping: Use Ripple RSI (default: 5-minute timeframe) for short-term insights into momentum-driven setups. Day Trading: Use Wave RSI (default: 15-minute timeframe) to analyze medium-term trends and spot entries/exits. Swing Trading: Use Tide RSI (default: 60-minute timeframe) for longer-term momentum shifts and confluence zones. Multi-Timeframe Confirmation : Look for alignment among RSI values across Ripple, Wave, and Tide to increase confidence in your trades. How to Use the RSI 3 Time Frames Indicator Add the Indicator to Your Chart: Import the RSI 3 Time Frames Indicator into TradingView. Customize Settings: Choose Ripple, Wave, and Tide RSI timeframes according to your strategy (e.g., 5-minute for short-term, 15-minute for medium-term). Modify line colors, styles, and thickness for better clarity. Enable/disable RSI lines or reference levels based on preference. Interpret RSI Values Across Timeframes: Identify overbought levels (above 70) for potential reversals. Spot oversold levels (below 30) for buying opportunities. Use the neutral midpoint (50) for balanced momentum, indicating neither buyers nor sellers dominate. Combine with Other Tools: Enhance your trading strategy by using RSI signals with price action tools like support/resistance zones, trendlines, and candlestick patterns. Example Scenario Let’s say you’re trading Bitcoin (BTC/USD): Ripple RSI shows momentum building but nearing overbought (above 70). Wave RSI confirms shorter momentum trends (above 60). Tide RSI shows divergence as the longer timeframe RSI is falling toward oversold (below 40). This alignment across timeframes helps you make informed decisions, such as waiting for Ripple RSI to cool off before entering a longer-term trade based on the Tide RSI oversold condition. Disclaimer The RSI 3 Time Frames Indicator is provided for educational and informational purposes only. It is not intended as financial advice or as a definitive trading signal. This tool should not be used in isolation for decision-making. Trading is inherently risky, and while RSI can offer valuable insights into market trends, traders should use proper risk management strategies and include other tools such as volume-based indicators, price action, fundamental research, and macroeconomic analysis in their decision-making process. Always test any new strategies in a simulated or paper trading environment before applying them to real markets. Remember to consult with a licensed financial professional if you’re unsure whether trading is suitable for your financial situation. Key Benefits Enhanced flexibility with customizable RSI settings. Clear visualization of momentum across short, medium, and long-term timeframes. Helps traders avoid tunnel vision by providing a multi-timeframe perspective. Final Note The RSI 3 Time Frames Indicator is a powerful, easy-to-use tool for traders who want to leverage RSI across multiple timeframes to pinpoint high-probability setups. Customize the settings based on your strategy and use this as a companion tool for your overall trading system. We hope you enjoy using this indicator to improve your trading and analysis! Happy trading! 😊
Индикатор Pine Script®
от dsouzajoyal
Clean Multi-Indicator Alignment System Overview A sophisticated multi-indicator alignment system designed for 24/7 trading across all markets, with pure signal-based exits and no time restrictions. Perfect for futures, forex, and crypto markets that operate around the clock. Key Features 🎯 Multi-Indicator Confluence System EMA Cross Strategy: Fast EMA (5) and Slow EMA (10) for precise trend direction VWAP Integration: Institution-level price positioning analysis RSI Momentum: 7-period RSI for momentum confirmation and reversal detection MACD Signals: Optimized 8/17/5 configuration for scalping responsiveness Volume Confirmation: Customizable volume multiplier (default 1.6x) for signal validation 🚀 Advanced Entry Logic Initial Full Alignment: Requires all 5 indicators + volume confirmation Smart Continuation Entries: EMA9 pullback entries when trend momentum remains intact Flexible Time Controls: Optional session filtering or 24/7 operation 🎪 Pure Signal-Based Exits No Forced Closes: Positions exit only on technical signal reversals Dual Exit Conditions: EMA9 breakdown + RSI flip OR MACD cross + EMA20 breakdown Trend Following: Allows profitable trends to run their full course Perfect for Swing Scalping: Ideal for multi-session position holding 📊 Visual Interface Real-Time Status Dashboard: Live alignment monitoring for all indicators Color-Coded Candles: Instant visual confirmation of entry/exit signals Clean Chart Display: Toggle-able EMAs and VWAP with professional styling Signal Differentiation: Clear labels for entries, X-crosses for exits 🔔 Alert System Entry Notifications: Separate alerts for buy/sell signals Exit Warnings: Technical breakdown alerts for position management Mobile Ready: Push notifications to TradingView mobile app Market Applications Perfect For: Gold Futures (GC): 24-hour precious metals trading NASDAQ Futures (NQ): High-volatility index scalping Forex Markets: Currency pairs with continuous operation Crypto Trading: 24/7 cryptocurrency momentum plays Energy Futures: Oil, gas, and commodity swing trades Optimal Timeframes: 1-5 Minutes: Ultra-fast scalping during high volatility 5-15 Minutes: Balanced approach for most markets 15-30 Minutes: Swing scalping for trend following 🧠 Smart Position Management Tracks implied position direction Prevents conflicting signals Allows trend continuation entries State-aware exit logic ⚡ Scalping Optimized Fast-reacting indicators with shorter periods Volume-based confirmation reduces false signals Clean entry/exit visualization Minimal lag for time-sensitive trades Configuration Options All parameters fully customizable: EMA Lengths: Adjustable from 1-30 periods RSI Period: 1-14 range for different market conditions MACD Settings: Fast (1-15), Slow (1-30), Signal (1-10) Volume Confirmation: 0.5-5.0x multiplier range Visual Preferences: Colors, displays, and table options Risk Management Features Clear visual exit signals prevent emotion-based decisions Volume confirmation reduces false breakouts Multi-indicator confluence improves signal quality Optional time filtering for session-specific strategies Best Use Cases Futures Scalping: NQ, ES, GC during active sessions Forex Swing Trading: Major pairs during overlap periods Crypto Momentum: Bitcoin, Ethereum trend following 24/7 Automated Systems: Algorithmic trading implementation Multi-Market Scanning: Portfolio-wide signal monitoring
Индикатор Pine Script®
от Fizeks
1
Sabbz Golden indicatorIndicator Name: Sabbz Golden Indicator Short Title: Sabbz Purpose: A comprehensive trading indicator designed for multiple trading styles (scalping, day trading, and trend following) by combining technical analysis tools such as EMAs, VWAP, support/resistance levels, order blocks, supply/demand zones, RSI, MACD, and volume analysis. It provides visual signals, trend analysis, and a dashboard for real-time decision-making. Key Features Exponential Moving Averages (EMAs): Calculates four EMAs (Fast: 9, Medium: 21, Slow: 50, Trend: 200) to assess short, medium, and long-term trends. Dynamic coloring based on trend direction: Fast EMA: Lime (bullish), Red (bearish), Yellow (neutral). Medium EMA: Blue (bullish), Orange (bearish), Gray (neutral). Slow EMA: Green (bullish), Red (bearish), Purple (neutral). Trend EMA: Green (bullish), Red (bearish). Volume-Weighted Average Price (VWAP): Plots VWAP with ±1σ deviation bands to identify dynamic support/resistance. VWAP trend direction (bullish if close > VWAP and VWAP rising, bearish if close < VWAP and VWAP falling) informs trading signals. Multi-Timeframe Analysis: Incorporates 5-minute and 15-minute EMA (9 and 21) data to confirm trends across timeframes, enhancing signal reliability. Support and Resistance Levels: Detects key support/resistance levels using fractal-based pivot points (5-bar left/right lookback). Tracks touches of levels (minimum 3 touches required) within a 50-bar lookback. Levels are filtered to stay within ±0.5% of the current price to avoid clutter. Break of structure (BoS) signals are generated when price breaks key levels by a user-defined threshold (default: 0.1%). Order Blocks: Identifies bullish and bearish order blocks based on strong price reversals with high volume. Visualized as green (bullish) or red (bearish) boxes on the chart. Supply and Demand Zones: Detects fresh demand zones (price drops to a 10-bar low, bounces with high volume) and supply zones (price reaches a 10-bar high, reverses with high volume). Plotted as blue (demand) or orange (supply) boxes, adjusted by ±0.5 ATR for width. Scalping Signals: Generates scalp long/short signals for 1-5 minute timeframes based on: Short-term EMA trend (9 > 21 for long, 9 < 21 for short). RSI oversold (<30, rising) for longs or overbought (>70, falling) for shorts. MACD momentum (histogram positive and rising for longs, negative and falling for shorts). Volume spike (volume > 1.5x 20-period SMA). Price above/below VWAP. Day Trading Signals: Generates day trading long/short signals for 5-15 minute timeframes based on: Medium-term trend (EMA 9 > 21 and 21 > 50 for long, opposite for short). Break of key resistance (long) or support (short). Multi-timeframe EMA confirmation (5m and 15m). Volume spike. Trend Following Signals: Generates swing/position trading signals based on: Strong trend (short, medium, long-term EMAs aligned, VWAP trend, and multi-timeframe confirmation). Presence of fresh demand/supply zones or order blocks. RSI not overextended (<60 for longs, >40 for shorts). Volume Analysis: Uses a 20-period SMA of volume to detect spikes (>1.5x SMA) and high volume (>2x SMA) for signal confirmation. Dashboard: Displays real-time data in a top-right table with: Timeframe: Scalping, Day Trading, Trend Following. Trend: Bullish, Bearish, Neutral, or Strong Bull/Bear based on EMA and VWAP conditions. Signal: Long, Short, or Wait based on entry conditions. Levels: Key support, resistance, VWAP, and RSI values with status (Overbought, Oversold, Neutral). Color-coded for quick interpretation. Visual Elements: Plots EMAs, VWAP, support/resistance levels, order blocks, and supply/demand zones. Entry signals are marked with triangles (up for long, down for short) of varying sizes (small for scalping, normal for day trading, large for trend following) and colors (e.g., aqua for scalp long, purple for scalp short). Background coloring indicates trend strength (green for bullish, red for bearish, gray for neutral). Alerts: Configurable alerts for: Scalping Long/Short entries. Day Trading Long/Short entries. Trend Following Long/Short entries. Resistance/Support breaks. Input Parameters EMAs: Fast EMA (default: 9), Medium EMA (21), Slow EMA (50), Trend EMA (200). Support/Resistance: Lookback (50 bars), Minimum Touches (3), Break Threshold (0.1%). Scalping: RSI Length (14), Overbought (70), Oversold (30), Volume MA (20). Display Options: Toggle signals, support/resistance levels, supply/demand zones, and order blocks (all default to true). Usage Scalping: Use on 1-5 minute charts for quick entries/exits based on scalp signals. Day Trading: Use on 5-15 minute charts for break-of-structure trades with multi-timeframe confirmation. Trend Following: Use on higher timeframes (e.g., 1H, 4H) for swing/position trades aligned with strong trends. Dashboard: Monitor trend and signal status for all timeframes in real-time. Alerts: Set up alerts to automate trade notifications. Notes Performance: The indicator is computationally intensive due to multi-timeframe calculations and array-based support/resistance logic. Test on your platform to ensure smooth performance. Customization: Adjust input parameters (e.g., EMA lengths, RSI thresholds) to suit specific markets or trading styles. Limitations: Signals are based on historical data and technical conditions; always combine with risk management and market context.
Индикатор Pine Script®
от sabbz0001
ADVANCED EMA RIBBON SUITE PRO [Multi-Timeframe + Alerts + Dash]🎯 ADVANCED EMA RIBBON SUITE PRO 📊 DESCRIPTION: The most comprehensive EMA Ribbon indicator on TradingView, featuring 14 customizable EMAs (5-200), multi-timeframe analysis, gradient ribbon visualization, smart alerts, and a real-time dashboard. Perfect for trend following, scalping, and swing trading. 🔥 KEY FEATURES: • 14 EMAs with Fibonacci sequence option (5, 8, 13, 21, 34, 55, 89, 144, 200) • Multi-Timeframe (MTF) analysis - see higher timeframe trends • Dynamic gradient ribbon with trend-based coloring • Golden Cross & Death Cross detection with alerts • Professional themes (Dark/Light) with 6 visual styles • Real-time information dashboard • Customizable transparency and colors • Trend strength visualization • Price position analysis • Smart alert system for all major crossovers 📈 USE CASES: • Trend Identification: Ribbon expansion/contraction shows trend strength • Entry/Exit Signals: EMA crossovers provide clear trade signals • Support/Resistance: EMAs act as dynamic S/R levels • Multi-Timeframe Confluence: Combine timeframes for higher probability trades • Scalping: Use faster EMAs (5-20) for quick trades • Swing Trading: Focus on 50/200 EMAs for position trades 🎯 TRADING STRATEGIES: 1. Ribbon Squeeze: Trade breakouts when ribbon contracts 2. Golden/Death Cross: Major trend reversals at 50/200 crosses 3. Price Above/Below: Long when price above most EMAs, short when below 4. MTF Confluence: Trade when multiple timeframes align 5. Dynamic S/R: Use EMAs as trailing stop levels ⚡ OPTIMAL SETTINGS: • Scalping: 5, 8, 13, 21 EMAs on 1-5 min charts • Day Trading: Full ribbon on 15-60 min charts • Swing Trading: Focus on 50, 100, 200 EMAs on daily charts • Position Trading: Use weekly timeframe with monthly MTF 📌 KEYWORDS: EMA, Exponential Moving Average, Ribbon, Multi-Timeframe, MTF, Golden Cross, Death Cross, Trend Following, Scalping, Swing Trading, Dashboard, Alerts, Support Resistance, Fibonacci, Professional, Advanced, Suite, Indicator *Created using PineCraft AI (Link in Bio)
Индикатор Pine Script®
от PineProfits
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide 🔔 Important Technical Limitation 🔔 **This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means: - Results will vary depending on what chart timeframe you're viewing - Levels may not match actual higher timeframe candle highs/lows - You might miss important wicks or gaps that occurred between chart timeframe bars - **Always verify levels against actual higher timeframe charts before trading** Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks) Core Components 1. Dual Timeframe Level Tracking - Short Timeframe Levels: Tracks opening price extremes within shorter periods - Long Timeframe Levels: Tracks actual high/low extremes within longer periods - Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period - Momentum Detection: Identifies when levels change mid-period, indicating active price movement 2. Visual Zone System - High Zones: Areas between long timeframe highs and short timeframe highs - Low Zones: Areas between long timeframe lows and short timeframe lows - Fill Coloring: Dynamic colors based on whether levels are static or actively changing - Momentum Highlighting: Special colors when levels break during active periods 3. Customizable Display Options - Multiple Plot Styles: Line, circles, or cross markers - Flexible Timeframe Selection: Wide range of short and long timeframe combinations - Color Customization: Separate colors for each level type and momentum state - Toggle Controls: Show/hide different elements based on trading preference Main Features Timeframe Settings - Short Timeframe Options: 15m, 30m, 1h, 2h, 4h - Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W - Recommended Combinations: - Scalping: 15m/1h or 30m/2h - Day Trading: 30m/4h or 1h/4h - Swing Trading: 4h/1D or 1D/1W Display Configuration - Level Visibility: Toggle short/long timeframe levels independently - Fill Zone Control: Enable/disable colored zones between levels - Momentum Fills: Special highlighting for actively changing levels - Line Customization: Width, style, and color options for all elements Color System - Short TF High: Default red for resistance levels - Short TF Low: Default green for support levels - Long TF High: Transparent red for broader resistance context - Long TF Low: Transparent green for broader support context - Momentum Colors: Brighter colors when levels are actively changing Technical Implementation Details How Level Tracking Works The indicator uses a custom tracking function that: 1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin 2. Tracks Extremes: Monitors highest/lowest values within each period 3. Resets on New Periods: Clears tracking when timeframe periods change 4. Updates Mid-Period: Continues tracking if new extremes are reached The Timeframe Limitation Explained `pinescript // What the indicator does: short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start = track_highest(open, short_tf_start) // BUT uses chart TF opens! // What true multi-timeframe would be: // short_tf_high = request.security(syminfo.tickerid, short_timeframe, high) ` This means: - On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows - On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows - Results will be different between chart timeframes - May miss important price action that occurred between your chart's bars Visual Elements 1. Level Lines - Short TF High: Upper resistance line from shorter timeframe analysis - Short TF Low: Lower support line from shorter timeframe analysis - Long TF High: Broader resistance context from longer timeframe - Long TF Low: Broader support context from longer timeframe 2. Zone Fills - High Zone: Area between long TF high and short TF high (potential resistance cluster) - Low Zone: Area between long TF low and short TF low (potential support cluster) - Regular Fill: Standard transparency when levels are static - Momentum Fill: Enhanced visibility when levels are actively changing 3. Dynamic Coloring - Static Periods: Normal colors when levels haven't changed recently - Active Periods: Momentum colors when levels are being tested/broken - Confluence Zones: Different intensities based on timeframe alignment Trading Applications 1. Support/Resistance Trading - Entry Points: Trade bounces from zone boundaries - Confluence Areas: Focus on areas where short and long TF levels cluster - Zone Breaks: Enter on confirmed breaks through entire zones - Multiple Timeframe Confirmation: Stronger signals when both timeframes align 2. Range Trading - Zone Boundaries: Use fill zones as range extremes - Mean Reversion: Trade back toward opposite zone when price reaches extremes - Breakout Preparation: Watch for momentum color changes indicating potential breakouts - Risk Management: Place stops outside the opposite zone 3. Trend Following - Direction Bias: Trade in direction of zone breaks - Pullback Entries: Enter on pullbacks to broken zones (now support/resistance) - Momentum Confirmation: Use momentum coloring to confirm trend strength - Multiple Timeframe Alignment: Strongest trends when both timeframes agree 4. Scalping Applications - Quick Bounces: Trade rapid moves between zone boundaries - Momentum Signals: Enter when momentum colors appear - Short-Term Targets: Use opposite zone as profit target - Tight Stops: Place stops just outside current zone Optimization Guide 1. Timeframe Selection For Different Trading Styles: - Scalping: 15m/1h - Quick levels, frequent updates - Day Trading: 30m/4h - Balanced view, good for intraday moves - Swing Trading: 4h/1D - Longer-term perspective, fewer false signals - Position Trading: 1D/1W - Major structural levels 2. Chart Timeframe Considerations **Important**: Your chart timeframe affects results - Lower Chart TF: More granular level tracking, but may be noisy - Higher Chart TF: Smoother levels, but may miss important price action - Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe 3. Display Settings - Busy Charts: Disable fills, show only key levels - Clean Analysis: Enable all fills and momentum coloring - Multi-Monitor Setup: Use different color schemes for easy identification - Mobile Trading: Increase line width for visibility Best Practices 1. Level Verification - Always Cross-Check: Verify levels against actual higher timeframe charts - Multiple Timeframes: Check 2-3 different chart timeframes for consistency - Price Action Confirmation: Wait for candlestick confirmation at levels - Volume Analysis: Combine with volume for stronger confirmation 2. Risk Management - Stop Placement: Use zones rather than exact prices for stops - Position Sizing: Reduce size when zones are narrow (higher risk) - Multiple Targets: Scale out at different zone boundaries - False Break Protection: Allow for minor zone penetrations 3. Signal Quality Assessment - Momentum Colors: Higher probability when momentum coloring appears - Zone Width: Wider zones often provide stronger support/resistance - Historical Testing: Backtest on your preferred timeframe combinations - Market Conditions: Adjust sensitivity based on volatility Advanced Features 1. Momentum Detection System The indicator tracks when levels change mid-period: `pinescript short_high_changed = short_high != short_high and not short_tf_start ` This identifies: - Active level testing - Potential breakout situations - Increased market volatility - Trend acceleration points 2. Dynamic Color System Complex conditional logic determines fill colors: - Static Zones: Regular transparency for stable levels - Active Zones: Enhanced colors for changing levels - Mixed States: Different combinations based on user preferences - Custom Overrides: User can prioritize certain color schemes 3. Zone Interaction Analysis - Convergence: When short and long TF levels approach each other - Divergence: When timeframes show conflicting levels - Alignment: When both timeframes agree on direction - Transition: When one timeframe changes while other remains static Common Issues and Solutions 1. Inconsistent Levels Problem: Levels look different on various chart timeframes Solution: Always verify against actual higher timeframe charts 2. Missing Price Action Problem: Important wicks or gaps not reflected in levels Solution: Use chart timeframe closer to indicator's short timeframe setting 3. Too Many Signals Problem: Excessive level changes and momentum alerts Solution: Increase timeframe settings or reduce chart timeframe granularity 4. Lagging Signals Problem: Levels seem to update too slowly Solution: Decrease chart timeframe or use more sensitive timeframe combinations Recommended Setups Conservative Approach - Timeframes: 4h/1D - Chart: 1h - Display: Show fills only, no momentum coloring - Use: Swing trading, position management Aggressive Approach - Timeframes: 15m/1h - Chart: 5m - Display: All features enabled, momentum highlighting - Use: Scalping, quick reversal trades Balanced Approach - Timeframes: 30m/4h - Chart: 15m - Display: Selective fills, momentum on key levels - Use: Day trading, multi-session analysis Final Notes **Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts. **Best Results When**: - Combined with actual multi-timeframe analysis - Used for confluence confirmation rather than primary signals - Applied with proper risk management - Verified against price action and volume **DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
Индикатор Pine Script®
от CoffeeKiller
TradingIQ - Nova IQIntroducing "Nova IQ" by TradingIQ Nova IQ is an exclusive Trading IQ algorithm designed for extended price move scalping. It spots overextended micro price moves and bets against them. In this way, Nova IQ functions similarly to a reversion strategy. Nova IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations. Philosophy of Nova IQ Nova IQ integrates AI with the concept of central-value reversion scalping. On lower timeframes, prices may overextend for small periods of time - which Nova IQ looks to bet against. In this sense, Nova IQ scalps against small, extended price moves on lower timeframes. Nova IQ is designed to work straight out of the box. In fact, its simplicity requires just one user setting, making it incredibly straightforward to manage. Use HTF (used to apply a higher timeframe trade filter) is the only setting that controls how Nova IQ works. Traders don’t have to spend hours adjusting settings and trying to find what works best - Nova IQ handles this on its own. Key Features of Nova IQ Self-Learning Market Scalping Employs AI and IQ Technology to scalp micro price overextensions. AI-Generated Trading Signals Provides scalping signals derived from self-learning algorithms. Comprehensive Trading System Offers clear entry and exit labels. Performance Tracking Records and presents trading performance data, easily accessible for user analysis. Higher Timeframe Filter Allows users to implement a higher timeframe trading filter. Long and Short Trading Capabilities Supports both long and short positions to trade various market conditions. Nova Oscillator (NOSC) The Nova IQ Oscillator (NOSC) is an exclusive self-learning oscillator developed by Trading IQ. Using IQ Technology, the NOSC functions as an all-in-one oscillator for evaluating price overextensions. Nova Bands (NBANDS) The Nova Bands (NBANDS) are based on a proprietary calculation and serve as a custom two-layer smoothing filter that uses exponential decay. These bands adaptively smooth prices to identify potential trend retracement opportunities. How It Works Nova IQ operates on a simple heuristic: scalp long during micro downside overextensions and short during micro upside overextensions. What constitutes an "overextension" is defined by IQ Technology, TradingIQ's proprietary AI algorithm. For Nova IQ, this algorithm evaluates the typical extent of micro overextensions before a reversal occurs. By learning from these patterns, Nova IQ adapts to identify and trade future overextensions in a consistent manner. In essence, Nova IQ learns from price movements within scalping timeframes to pinpoint price areas for capitalizing on the reversal of an overextension. As a trading system, Nova IQ enters all positions using market orders at the bar’s close. Each trade is exited with a profit-taking limit order and a stop-loss order. Thanks to its self-learning capability, Nova IQ determines the most suitable profit target and stop-loss levels, eliminating the need for the user to adjust any settings. What classifies as a tradable overextension? For Nova IQ, tradable overextensions are not manually set but are learned by the system. Nova IQ utilizes NOSC to identify and classify micro overextensions. By analyzing multiple variations of NOSC, along with its consistency in signaling overextensions and its tendency to remain in extreme zones, Nova IQ dynamically adjusts NOSC to determine what constitutes overextension territory for the indicator. When NOSC reaches the downside overextension zone, long trades become eligible for entry. Conversely, when NOSC reaches the upside overextension zone, short trades become eligible for entry. The image above illustrates NOSC and explains the corresponding overextension zones The blue lower line represents the Downside Overextension Zone. The red upper line represents the Upside Overextension Zone. Any area between the two deviation points is not considered a tradable price overextension. When either of the overextension zones are breached, Nova IQ will get to work at determining a trade opportunity. The image above shows a long position being entered after the Downside Overextension Zone was reached. The blue line on the price scale shows the AI-calculated profit target for the scalp position. The redline shows the AI-calculated stop loss for the scalp position. Blue arrows indicate that the strategy entered a long position at the highlighted price level. Yellow arrows indicate a position was closed. You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price. The image above depicts a short position being entered after the Upside Overextension Zone was breached. The blue line on the price scale shows the AI-calculated profit target for the scalp position. The redline shows the AI-calculated stop loss for the scalp position. Red arrows indicate that the strategy entered a short position at the highlighted price level. Yellow arrows indicate that NOVA IQ exited a position. Long Entry: Blue Arrow Short Entry: Red Arrow Closed Trade: Yellow Arrow Nova Bands The Nova Bands (NBANDS) are based on a proprietary calculation and serve as a custom two-layer smoothing filter that uses exponential decay and cosine factors. These bands adaptively smooth the price to identify potential trend retracement opportunities. The image above illustrates how to interpret NBANDS. While NOSC focuses on identifying micro overextensions, NBANDS is designed to capture larger price overextensions. As a result, the two indicators complement each other well and can be effectively used together to identify a broader range of price overextensions in the market. While the Nova Bands are not part of the core heuristic and do not use IQ technology, they provide valuable insights for discretionary traders looking to refine their strategies. Use HTF (Use Higher Timeframe) Setting Nova IQ has only one setting that controls its functionality. “Use HTF” controls whether the AI uses a higher timeframe trading filter. This setting can be true or false. If true, the trader must select the higher timeframe to implement. No Higher TF Filter Nova IQ operates with standard aggression when the higher timeframe setting is turned off. In this mode, it exclusively learns from the price data of the current chart, allowing it to trade more aggressively without the influence of a higher timeframe filter. Higher TF Filter Nova IQ demonstrates reduced aggression when the "Use HTF" (Higher Timeframe) setting is enabled. In this mode, Nova IQ learns from both the current chart's data and the selected higher timeframe data, factoring in the higher timeframe trend when seeking scalping opportunities. As a result, trading opportunities only arise when both the higher timeframe and the chart's timeframe simultaneously display overextensions, making this mode more selective in its entries. In this mode, Nova IQ calculates NOSC on the higher timeframe, learns from the corresponding price data, and applies the same rules to NOSC as it does for the current chart's timeframe. This ensures that Nova IQ consistently evaluates overextensions across both timeframes, maintaining its trading logic while incorporating higher timeframe insights. AI Direction The AI Direction setting controls the trade direction Nova IQ is allowed to take. “Trade Longs” allows for long trades. “Trade Shorts” allows for short trades. Verifying Nova IQ’s Effectiveness Nova IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in a table located in the top-right corner of your chart showing the long strategy profit factor and the short strategy profit factor. The image above shows the long strategy profit factor and the short strategy profit factor for Nova IQ. A profit factor greater than 1 indicates a strategy profitably traded historical price data. A profit factor less than 1 indicates a strategy unprofitably traded historical price data. A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data. Using Nova IQ While Nova IQ is a full-fledged trading system with entries and exits - it was designed for the manual trader to take its trading signals and analysis indications to greater heights, offering numerous applications beyond its built-in trading system. The hallmark feature of Nova IQ is its to ignore noise and only generate signals during tradable overextensions. The best way to identify overextensions with Nova IQ is with NOSC. NOSC is naturally adept at identifying micro overextensions. While it can be interpreted in a manner similar to traditional oscillators like RSI or Stochastic, NOSC’s underlying calculation and self-learning capabilities make it significantly more advanced and useful than conventional oscillators. Additionally, manual traders can benefit from using NBANDS. Although NBANDS aren't a core component of Nova IQ's guiding heuristic, they can be valuable for manual trading. Prices rarely extend beyond these bands, and it's uncommon for prices to consistently trade outside of them. NBANDS do not incorporate IQ Technology; however, when combined with NOSC, traders can identify strong double-confluence opportunities.
Индикатор Pine Script®
от Trading-IQ
2
Support Resistance Pivot EMA Scalp Strategy [Mauserrifle]A strategy that creates signals based on: pivots, EMA 9+20, RSI, ATR, VWAP, wicks and volume. The strategy is developed as a helper for quick long option scalping. This strategy is primarily designed for intraday trading on the 2m SPY chart with extended hours. However, users can adapt it for use on different symbols and timeframes. These signals are meant as a helper rather than fully automated trading bots. One of the key elements is its pivot-based calculation, driven by my integrated indicator "Support and Resistance Pivot Points/Lines ". It enables multi-timeframe pivot calculations which are used to generate the signals and offers customizability, allowing you to define rounding methods and cooldown periods to refine pivot levels. The pivots, in combination with EMA crossovers, VWAP trend, and additional filters (RSI, ATR, VWAP, wicks and volume), create an entry and exit strategy for scalping opportunities that is useful for 0/1 DTE options with an average trade time of six minutes with the default setup for SPY. Option trading should be done outside TradingView. At this moment of release there is no option trading support. All parameters used in the strategy are tweaked based on deep backtests results and real-time behavior. Be mindful that past performance does not guarantee future results. The strategy is designed for intermediate and advanced users who are familiar intraday option scalping techniques. How It Works The strategy identifies entries based on multiple conditions, including: recently above pivot, recent EMA crossovers, RSI range, candle patterns, and VWAP uptrend. It avoids trades below the VWAP lower band due to poor backtesting results in those conditions. It creates a great number of signals when it detects an uptrend, which entails: VWAP and its lower/upper band slopes are going up, and the number of next high pivot points is greater than the number of lower pivot points. This indicates that we hope it will keep going up. In historical testing, this showed favorable results. This uptrend criteria runs on 15m charts max (where up to the VWAP effectiveness is the greatest). The strategy also checks for candle and volume patterns, identified in backtesting to improve entry levels on historic data. Which include: A red candle after multiple green ones, hoping to jump on a trend during a small pullback Zero lower wick Percentage and volume is up after lower volume candles Percentage is up and the first and second EMA slopes are going up Percentage is up, the first EMA is higher than the second, the price low is below the second EMA and price close above it The VWAP uptrend overrules the candle and volume conditions (thus lots of signals during those moments). The above is the base for many signals. There is a strict mode that adds extra checks such as: not trading when there is no next low or high pivot requiring a VWAP uptrend only minimum candle percentages This mode is for analyzing history and seeing performance during these conditions. It is worth it to create a separate alert for strict mode so you are aware of these conditions during trading. When no stop has been defined, exits will always happen on pivot crossunder confirmations. If a stop is defined (default config), the strategy exits a position when: the position is negative or no trail has been set at least 1 bar has past OR no stop has been defined (overrules previous) trail has not been activated The second exit condition happens when the close is below first EMA(9 by default) and when: the position has been above first EMA the gap between close and last pivot isn't small the position is negative or no trail has been set OR no stop has been defined (overrules above) trail has not been activated There are some more variations on this but the above are the most common. These exit conditions are a safety net because the strategy heavily relies on and favors stops. The settings allow changing stops, profit takers and trails. You can configure it to always sell without the conditions above. The script will paint the pivot lines, trailing activation/stops, EMAs and entry/exits; with extra information in the data panel. For a complete view add VWAP and RSI to your chart, which are available from TradingView official indicator library. The strategy will not rely on those added indicators since VWAP and RSI are programmed in. You can add them to track the behavior of the signals based on these filters you have configured and have a complete view trading this strategy. As mentioned earlier, the default settings are built for SPY 2m charts, with extended hours and real-time data. Open the strategy on this chart to study how all input parameters are used. If you don't have real-time data you need to adjust the minimum volume settings (set it to 0 at first). The backtest The default backtest configuration is set up to simulate SPY option trading. Start capital is set to 10,000 and we risk around 5% of that per trade (1 contract) Commission is set to 0.005%. The reason: at the time of this publication the SPY index price is approximately $580. Two ITM 0/1 DTE options contracts, each priced around $280, which is approximately $560. The typical commission for such a trade is around $3. To simulate this commission in the backtest on the SPY index itself, a commission of 0.005% per trade has been applied, approximating the options trading costs. Slippage of 3 is set reflecting liquid SPY The bar magnifier feature is turned on to have more realistic fills Trading In backtesting, setting commission and slippage to 0 on the SPY 2m chart shows many trades result around breaking even. Personally, I view them as an opportunity and safety net to help manage emotional decisions for exits. The signals are designed for short option scalps, allowing traders to take small profits and potentially re-enter during the strategy’s position window. It's advisable to take small potential profits, such as 4%, whenever the opportunity arises and consider re-entering if the setup still looks favorable, for example price still above ema9. Exiting a long position below ema9 is a common strategy for 2m scalping. The average trade duration is approximately 6 minutes (3 bars). The choice between ITM (in-the-money), ATM (at-the-money), or OTM (out-of-the-money) options will depend on your trading style. Personally, I’ve seen better results with ITM options because they tend to move more in sync with the underlying index, thanks to their higher delta. It’s important to note that the signals are designed to be a helper for manual trading rather than to automate a bot. Users are encouraged to take small profits and re-enter positions if favorable conditions persist. Be mindful that past performance does not guarantee future results. For the default SPY setup the losses will mostly be 4-10% for ITM options. Be mindful of extreme volatile conditions where losses may reach 30% quickly, especially when trading ATM/OTM options. The following settings can be changed: 8 pivot timeframes with left/right bars and days rendered Here you can configure the timeframes for the pivots, which are crucial. The strategy wants that a crossover has happened recently (so it might enter after a crossunder if the crossover was recent) or the price is still above the crossed pivot. When you decide to use a pivot timeframe higher than your chart, make sure it aligns the same starting point as the chart timeframe. As stated in the 43000478429 docs, there is a dependency between the resolution and the alignment of a starting point: 1–14 minutes — aligns to the beginning of a week 15–29 minutes — aligns to the beginning of a month from 30 minutes and higher — aligns to the beginning of a year This alignment also affects the setting of rendered days. I recommend a max value of 5 days for 1-14 minutes timeframes. Also make sure a higher pivot timeframe can be divided by the lower. For instance I had repaint issues using 3m pivots on a 2m chart. But 4m pivots work fine. Please look up docs 43000478429 to make sure this information is still up to date. Pivot rounding The pivot rounding option is used to add pivots based on a rounded price and limit the number of pivots. While this feature is disabled by default it can be useful with tweaking strategy variations, because many orders are placed at rounded levels and tend to act as strong price barriers. There are multiple rounding methods: round, ceil/floor, roundn (decimal) and rounding to the minimal tick. The next feature is a powerful extension called "Cooldown rounding": Pivot cooldown rounding This rounds new pivot levels for a cooldown period to keep the previous pivot line instead of adding a new line when they match the rounded value within the cooldown period. The existing line will be extended. This feature is useful because it makes sure the initial line is added to the exact high/low pivot level but any future lines within the rounding will just extend the existing line. This limits the number of pivots while still having precise levels (which normal rounding lacks) and allows more precise pivot trading. This feature also helps ensure that the number of rendered lines will not exceed 500 too much, which is the render limit on TradingView. You can set a maximum minutes for the cooldown. The default is 3 years which will enable the cooldown rounding permanently on the intraday (due to the max bar limit). Pivot always added when new higher/lower pivot When using cooldown rounding, one may find it useful to override this behavior when a new lower or higher pivot level has been reached. When enabled the new level will be added despite the fact that they may be rounded the same in the cooldown check. This is a good balance between limiting pivots but also allowing preciser trading. VWAP bands multiplier This is used to tweak the inner VWAP working for the upper and lower band. The default VWAP multiplier (0.9) is set based on backtesting since it performed better on historic data (the strategy does not trade below the lowerband). When you add the VWAP indicator from the TradingView library to the chart, make sure it uses the same multiplier setting as within this strategy so you have a correct view of the conditions the strategy acts on. ATR EMA smoothing length Used to tweak the ATR EMA smoothing. By default it is set up to 4 based on deep backtesting historic data. EMA lengths Changing the EMA length allows you to fine tune the EMA crossing behavior. By default the strategy is set up to EMA 9 and 20 which are considered commonly used values on the 2-minute chart. Trading intraday time restrictions For intraday charts you can configure when the strategy starts trading after market open and when it stops, including a hard sell. This makes sure there are no open positions left for the day during backtesting and can also aid in your trading style. For example some scalpers will not trade in the first two hours. Having no signals during this time can be beneficial. It is possible to configure these settings based on the number of bars or minutes. Not trading on days the market closes earlier By default the strategy does not trade on days the market closes earlier in the US. This makes sure there are no open positions left open during backtesting. Make sure to change it when using it on such a day. The days are: day before independence day, day after thanksgiving, Christmas eve and new years eve. Not trading below VWAP lowerband Backtesting has shown poor performance when trading below the VWAP lowerband but you are free to allow it to trade in such conditions. Past performance does not guarantee future results. Minimum volume A minimum volume can be set up. The current value is based on better deep backtest results for SPY using real-time data (48000). When you do not have a data plan for SPY, please set it to 0 and tweak based on backtests. Minimum ATRP The strategy has shown during my trading that it is sensitive to higher ATRP values and more volatile market conditions. There is more chance the index moves and we can profit from this during option scalping (if it moves in your favor). The default is based on SPY backtesting (0.04%), as a balance to have a lot of trades but also capture minimal movement. RSI range A RSI range can be set using a minimum and maximum value so we can limit trading during overbought/oversold conditions. Backtesting for SPY has shown the strategy performs better on historic data within a tighter range, so a default range has been set to 40-65. Allow orders on every tick (no effect on stop/profit/trail) This setting is used to allow orders on every tick. The strategy has been developed without trading on every tick but you can change this, for example when you have configured a setup different than the default configuration that you know works well with this. The default setup will not work well with it due to too many constant signals. Stop percentage + ATRP threshold One of the most important settings for managing the risk. I recommend setting a stop percentage first and later the ATRP threshold where the stop is calculated based on the current ATRP value. The calculated value will only be in effect when it is greater than the normal stop--the normal stop acts as baseline. The default stop is low (0.03). With a default ATRP threshold stop of 1.12, the calculated value overrules the normal stop when the value is greater. 0.03 acts as a minimum value but in reality the stop will most likely be higher on average for SPY with the default ATRP threshold. For the default SPY setup the losses will be around 4-10% for ITM options. Be mindful of extreme volatile conditions where losses may reach 30% quickly, especially when trading ATM/OTM options. Profit taker percentage + ATRP threshold Same principles as the stop percentage above, but for profit taking. There is a very high ATRP threshold of 4 set by default. Backtests showed that trailing stops perform better on historic data. Trailing stop Used to set up a trailing stop. A useful feature to secure profit after a run-up, or get out with a small loss after initial activation. It is important to not use too tight values because they will give unrealistic backtest results and trigger too fast in real-time. Both the trail activation level and trail stop itself can be configured with a percentage value and ATRP value. I recommend setting up the ATRP last. By default the values are 0.05 for activation and 0.03 for the stop based on SPY real-time behavior. Always sell on pivot crossunder confirmation The strategy includes pivot crossunder confirmations as sell condition. By default it will not sell on every crossunder confirmation but checks for different conditions (explained in detail earlier in this description). You can change this behavior. Always sell below first EMA when position has been above The strategy sells below the first EMA when the position has been above it. By default it will not always sell but checks for different conditions (mentioned earlier in this description). You can change this behavior. Buy modes pivot By default the strategy buys between pivots as long as there has been a pivot crossover and EMAs crossover recently or price is still above it. You can change the behavior so it only buys on pivot crossovers or pivot crossover confirmations. Backtesting on the default setup shows decreased performance but for other strategy variations and pivot setups this feature can be useful since many scalpers do not buy between pivots. Strict mode There is a strict mode that adds extra checks such as not trading when there is no next low or high pivot, requiring a VWAP uptrend only and minimum candle percentages. This mode is for analyzing history and seeing performance during these conditions. It is worth it to create a separate alert for strict mode so you are aware of these conditions during trading. The deep backtests improved with these setting but past performance does not guarantee future results. In the strict mode section you can override the stop, minimum ATRP, set up a minimum percentage, only trade VWAP uptrends and to not trade candles without a wick. A summary and some extra detail At the time of release only long trades are supported The strategy is meant for quick scalping but one might find other uses for it Enable extended hours on intraday charts so it captures more pivots It does not trade extended hours (pre and post market) since options do not trade during those times real-time data is recommended and required if a symbol has delayed data by default You can configure that it trades minutes after market open and hard sells minutes after market open The entries have a specific label text, example: "833 LE1 / 569.71 / P:569.8". This means: / / . The condition number is only for development/debug purposes for me when you have an issue. The strategy cannot be tweaked to work on multiple symbols and timeframes with a single config. So you will have to make a config for every timeframe and symbol. I recommend using the Indicator Templates feature of TradingView. This way you can save the settings per timeframe and symbol The strategy is per default config very dependent on (trailing) stops because it trades between pivots too. It wants that a pivot and EMA crossover has happened more recently than a crossunder. But you can change this behavior to always force crossover buys and crossunder sells. It’s recommended to set up alerts to notify you of entry and exit signals. Watching the chart alone might cause you to miss trades, especially in fast-moving markets. Only a max of 500 lines can be rendered on the chart, but the strategy will function with more under the hood. When you exceed 500 you will notice the beginning of the chart has no pivots, but beneath everything functions for backtesting. Changing settings Changing the settings for a different symbol and/or timeframe can be a challenging task. Here's a how-to you could use the first time to help you get going: Set commission and slippage to 0. I prefer to do this so it is more clear whether you are balancing on break-even trades Enable the pivot timeframe equal or above your chart timeframe. Avoid repainting as discussed earlier by choosing timeframes that align with the same timeframe Set all volume, ATR, stop, profit takers and trail values to 0 Make sure strict mode is disabled at the bottom of the settings You now have a clean state and you should see the backtest results purely based on pivot and EMA conditions Tweak the stop and profit taker, beginning with the simple values and then ATRP threshold At the last moment tweak the trailing stops. Tight trailing stops create an unrealistic backtest so you will need to tweak them based on real-time behavior of the symbol you're using which you will have to monitor during signals while the market is open. The default values are low (2m intraday SPY). Only with the bar magnifier feature it is somewhat possible to tweak realistic with history data. The tighter they are, the more unrealistic your backtest results. As a starting point, set the trailing stop low and find the highest activation level that doesn't change the results drastically, then increase the stop to the value you think reflects real-time behavior. Keep refining by testing it during real-time behavior. Does it exit too early according to your own judgment? You need to increase the stop and maybe the activation level. I hope you will find this useful! DISCLAIMER Trading is risky & most day traders lose money. This indicator is purely for informational & educational purposes only. Past performance does not guarantee future results.
Стратегия Pine Script®
от mauserrifle
3
HTF Candle Projection by @TATraderSid(The Journal App Team)HTF Candle Projection Indicator Overview A professional multi-timeframe analysis tool that projects Higher Timeframe (HTF) candles onto lower timeframe charts with real-time countdown timer and optional zone highlights. Key Features 📊 HTF Candle Projection Visual HTF Candles: Projects last 2-3 HTF candles as transparent boxes with wicks Color Coding: Green for bullish, red for bearish candles Configurable Offset: Positions candles to the right of current price action Clean Design: Minimal chart clutter with professional appearance ⏰ Real-Time Timer Box Live Countdown: Shows time remaining until next HTF candle close (MM:SS format) Symbol Display: Current trading pair (e.g., BTCUSDT) Timeframe Model: Shows current TF to HTF relationship (e.g., 15m–60m) HTF Bias: Real-time bullish/bearish/neutral bias indication Top-Right Position: Fixed position that doesn't interfere with chart analysis 🎯 Optional Features Session Zones: Previous day high/low shaded areas HTF Levels: Optional HTF high/low reference lines (disabled by default) Risk/Reward Framework: Structure for manual trade planning Settings Main Configuration Higher Timeframe: Select HTF (default: 60 minutes) Number of HTF Candles: Display 1-5 historical candles Offset Bars: Distance from current price action Show Timer Box: Toggle countdown timer display Show Session Zones: Optional support/resistance zones Display Options Show HTF Levels: Toggle HTF high/low reference lines Color Customization: Bullish/bearish candle colors Transparency Settings: Adjustable candle body transparency Best Use Cases Multi-Timeframe Analysis Scalping: Use 5m/15m charts with 1H/4H HTF candles Swing Trading: Use 1H/4H charts with daily/weekly HTF candles Trend Confirmation: Align lower TF entries with HTF direction Timing Entries HTF Candle Closes: Time entries around HTF candle completions Bias Changes: Monitor HTF bias shifts for trend changes Support/Resistance: Use projected HTF levels for key zones Technical Specifications Pine Script v6: Latest TradingView scripting version Real-Time Updates: Uses request.security() for precise HTF data Performance Optimized: Efficient rendering with minimal resource usage Cross-Timeframe Compatible: Works on all timeframe combinations Installation & Usage Add indicator to chart Select desired Higher Timeframe Adjust number of candles and offset Enable timer box for countdown functionality Optionally enable session zones and HTF levels Recommended Settings For Scalping: 15m chart with 60m HTF, 3 candles, 10 bar offset For Swing Trading: 1H chart with 240m HTF, 2 candles, 15 bar offset For Position Trading: 4H chart with 1D HTF, 3 candles, 20 bar offset Perfect for traders who need precise multi-timeframe analysis with professional visual presentation and real-time timing information.
Индикатор Pine Script®
от TATraderSid
Crypto Scanner 🚀 Crypto Scanner: Intelligent TradingView Indicator & Screener for Crypto Trading Description: Discover the Crypto indicator & screener, an Intelligent TradingView indicator for spotting reversals in the top 50 cryptos. Spot Bitcoin & altcoin reversals with real-time buy/sell signals, alerts & strategies for day trading, scalping & swing trading. ________________________________________ 🔥 Catch Crypto Reversals with the Crypto Scanner Looking for the perfect crypto trade setup? The Crypto Scanner, a leading TradingView indicator and screener, helps traders catch bullish and bearish reversals across the top 50 cryptocurrencies (Bitcoin, Ethereum, Solana, XRP, Binance Coin, and more). Unlike lagging tools such as moving averages, this crypto trading strategy delivers real-time buy/sell signals for early entries and bigger profits. It’s more than just an indicator – it’s a crypto market scanner that works 24/7, detecting reversal candlestick patterns, support/resistance zones, and momentum shifts before the crowd. ________________________________________ 📊 What is the Crypto Scanner & screener? The Crypto Scanner is a powerful TradingView crypto tool built for scalpers, day traders, and swing traders. It scans the top 50 altcoins by market cap, spotting high-probability reversal setups across all timeframes – from 1-minute scalping charts to long-term swing trades. This tool saves time by automating crypto market analysis, helping you trade smarter, whether you’re focusing on Bitcoin, Ethereum, or fast-moving altcoins. ________________________________________ ⚙️ How the Crypto Scanner Works 1. Group 1 & Group 2 Coins: Scans two predefined groups : Group 1: Top 25 coins by market cap. Group 2: Next 25 coins by market cap. Displays Group 1 signals by default in a table, with green (1) for buying pressure and red (2) for selling pressure. 2. Next Steps: When a coin shows a green or red signal, open its chart via TradingView’s symbol search. Look for: Green X below a candle for bullish signals. Red X above a candle for bearish signals. Enter trades when price moves above the Green X candle’s close (buy) or below the Red X candle’s close (sell), with a stop loss at the previous candle’s close. 3. Profit Targets: Aim for 2%–7% gains. If price exits the cloud area, hold until it re-enters or an opposite signal appears. Exit if stop loss is hit. 4. Signal Significance: Detects 50+ candlestick patterns (e.g., hammer, doji) after prolonged trends, confirming reversals with price action near support/resistance levels—earlier than moving average crossovers for higher profits. 5. Color-Coded Table: Shows real-time signals: ✅ Green (1): Bullish reversal (buy). ❌ Red (2): Bearish reversal (sell). 6. Support/Resistance Validation: Automatically plots key levels to confirm signals. ________________________________________ 🚨 Important Disclaimer The Crypto Scanner is not designed to catch every market move. If price moves slowly or the specific candlestick patterns do not form during extreme downtrends or extreme uptrends, the scanner may miss the reversal. Missing a move does not make you poorer — instead, focus on the trades that the scanner does catch. Ride those profitable waves and let the missed opportunities go. The goal is consistency, not chasing every candle. ________________________________________ 🎯 Crypto Trading Strategies: Scalping, Day Trading & Swing Trading The Crypto Scanner isn’t just an indicator – it supports multiple strategies: Scalping: Quick in-and-out trades with small stop losses. Day Trading: Catch intraday reversals on Bitcoin & altcoins. Swing Trading: Identify longer-term reversal points for higher profits. Whether you scalp 1-minute charts or swing trade daily setups, the scanner adapts to your style.   ________________________________________ 🎯 Trading Rules for Success Stop Loss : Bullish reversal: Set at the close of the candle before the Green X. Bearish reversal: Set at the close of the candle before the Red X. Profit Targets: Exit at the next support/resistance level. Hold if price exits the cloud and continues strongly until it re-enters or an opposite signal appears. ________________________________________ 📈 Maximize Profits with Smart Risk Management Big wins trump high accuracy. The Crypto Scanner’s early signals let you enter trades before the crowd, boosting profit potential. Even with a 35% win rate, one winning trade can offset multiple small losses due to high-reward setups. Failed reversals may hit stop losses, but the scanner’s design ensures winners outweigh losers. ________________________________________ 🚀 Why Traders Choose Our TradingView Crypto Indicator • 🔎 Scans Top 50 Cryptos: Bitcoin, Ethereum, Solana, Binance Coin, XRP, Dogecoin & more. • ⚡ Instant Buy/Sell Signals: No more chart-hopping. • 🕯 50+ Candlestick Patterns: Advanced reversal recognition. • 📋 Real-Time Screener Table: See all crypto signals at a glance. • 🔔 Automated Alerts: Get notifications for 50 coins with a single setup. • 🛡 Auto Support/Resistance Levels: Validates reversals with key price zones. • ⏱ All Timeframes Supported: Works on scalping (1m/5m) and higher (daily/weekly) charts. ________________________________________ 🌍 Why Trade Crypto? One of the biggest advantages of trading cryptocurrencies is that the crypto market never sleeps. Unlike stocks and forex, crypto runs 24 hours a day, 7 days a week — even on weekends and public holidays. This means you can trade Bitcoin, Ethereum, and altcoins anytime, anywhere without being restricted by exchange opening hours. The continuous market gives more opportunities for scalping, day trading, and swing trading, making crypto one of the most flexible and exciting markets for active traders. ✅ Benefits for Bitcoin & Altcoin Traders • Saves time by automating crypto analysis • Works for Bitcoin signals, Ethereum signals, and altcoin signals • Provides early entries for maximum profit potential • Ideal for day trading crypto, swing trading, and scalping strategies • Seamlessly integrates into TradingView ________________________________________ 📌 Key Notes • Pre-Coded Coin List: Includes the top 50 coins, updated periodically. • Customizable: Contact us for versions with 50, 100, or custom watchlists. • TradingView Integration: Seamlessly works within TradingView. ________________________________________ 🔍 Perfect for Crypto Traders • Spot traders seeking fast crypto reversal signals. • Scalpers, intraday, and swing traders. • TradingView users wanting advanced crypto trading tools. ________________________________________ 🚀 Trade Smarter with the Crypto Scanner Dominate the crypto market with the Crypto Scanner on TradingView. Catch reversals in the top 50 coins and boost your profits. Don’t miss out! 👉 Start trading smarter – activate the Crypto Scanner on TradingView today!
Индикатор Pine Script®
от jellygill
Scalp Sense AI# Scalp Sense AI (No Repaint) **Adaptive trend & reversal detector with an AI-driven score, multi-timeframe confirmations, robust volume filters, and a purpose-built Scalping Mode.** Signals are generated **only on bar close** (no repaint), include structured alert payloads for webhooks, and come with optional ATR-based TP/SL visualization for study and validation. --- ## What it is (in one paragraph) **Scalp Sense AI** combines classic market structure (DI/ADX, EMA, SMA, Keltner, ATR) with a continuous **AI Score** that fuses RSI normalization, EMA distance (in ATR units), and DI edge into a single, volatility-aware signal. It adaptively gates **trend** and **reversal** entries, applies **HTF confirmation** without lookahead, and enforces **guard rails** (e.g., strong-trend reversal blocking) unless a high-confidence AI override and volume confirmation are present. **Scalping Mode** compresses reaction times and adds micro price-action cues (wick rejections, micro-EMA crosses, small engulfing) to surface more—but disciplined—opportunities. --- ## Non-Repainting Design * All signals, markers, state, and alerts are computed **after bar close** using `barstate.isconfirmed`. * HTF data are requested with `lookahead_off`. * No “future-peeking” constructs are used. * Result: signals do **not** change after the candle closes. --- ## How the engine works (pipeline overview) 1. **Base metrics** * **RSI**, **EMA**, **ATR** (+ ATR SMA for regime/volatility), **SMA long & short**, **Keltner** (EMA ± ATR×mult). * **Manual DI/ADX** for fine control (DM+, DM−, true range smoothing). 2. **Volatility regime** * Compares ATR to its SMA and scales thresholds by √(ATR/ATR\_SMA) → robust “high\_vol” gating. 3. **Volume & flow** * **Volume Z-score**, **OBV slope**, and **MFI** (all computed manually) to confirm impulses and filter weak reversals. 4. **Higher-Timeframe confirmation (optional)** * Imports HTF **PDI/MDI/ADX** and **SMA** (no lookahead) to require alignment when enabled. 5. **AI Score** * Weighted fusion of **RSI (normalized around 0)**, **EMA distance (in ATR)**, and **DI edge**. * Smoothed; then its **mean (μ)** and **volatility (σ)** are estimated to form **adaptive bands** (hi/lo), with optional **hysteresis**. * **Debounce** (M in N bars) avoids flicker; **bias state** persists until truly invalidated. 6. **Signal logic** * **Trend entries** require AI bias + trend confirmations (DI/ADX/SMA, HTF if enabled), volatility OK, and **anti-breakout** filter. * **Reversal entries** come in **core**, **early**, and **scalp** flavors (progressively more frequent), guarded by strong-trend blocks that an **AI+volume+ADX-cooling override** can bypass. 7. **Scalping Mode** * Adaptive parameter contraction (shorter lengths), gentler guards, micro-patterns (wick/engulf/micro-EMA cross), and reduced cooldown to increase high-quality opportunities. 8. **Cooldown & state** * One signal per side after a configurable spacing in bars; internal “last direction” avoids clustering. 9. **Visualization & alerts** * **Triangles** for trend, **circles** for reversals (offset by ATR to avoid overlap). * **Single-line alert payload** (BUY/SELL, reason, AI, volZ, ADX) ready for webhooks. --- ## Signals & visualization * **Trend Long/Short** → triangle markers (above/below) when: * AI bias aligns with trend confirmations (DI edge, ADX above threshold, price vs long SMA, optional HTF alignment). * Volatility regime agrees; **anti-breakout** prevents entries exactly at lookback highs/lows. * **Reversal Long/Short** → circular markers when: * **Core**: AI near “loose” band, OBV/MFI/volZ supportive, ADX cooling, DI spread relaxed, PA confirms (crosses/div). * **Early**: anticipatory patterns (Keltner exhaustion, simple RSI “quasi-divergence”). * **Scalp**: micro-EMA cross, wick rejection, mini-engulfing, with relaxed guards but AI/volume still in the loop. * **Markers appear only on the bar that actually emitted the signal** (no repaint); offsets use ATR so shapes don’t overlap. --- ## Alerts (ready for webhooks) Enable “**Any alert() function call**” and you’ll receive compact, single-line payloads once per bar: ``` action=BUY;reason=reversal-early;ai=0.1375;volZ=0.82;adx=27.5 action=SELL;reason=trend;ai=-0.2210;volZ=0.43;adx=31.9 ``` * `action`: BUY / SELL * `reason`: `trend` | `reversal-core` | `reversal-early` | `reversal-scalp` * `ai`: current smoothed AI Score at signal bar * `volZ`: volume Z-score * `adx`: current ADX --- ## Inputs (exhaustive) ### 1) Core Inputs * **RSI Length (Base)** (`rsi_length_base`, int) Base RSI lookback. Shorter = more reactive; longer = smoother. * **RSI Overbought Threshold** (`rsi_overbought`, int) Informational for context; RSI is used normalized in the AI fusion. * **RSI Oversold Threshold** (`rsi_oversold`, int) Informational; complements visual context. * **EMA Length (Base)** (`ema_length_base`, int) Primary adaptive mean; also used for Keltner mid and distance metric. * **ATR Length (Base)** (`atr_length_base`, int) Volatility unit for Keltner, SL/TP (debug), and regime detection. * **ATR SMA Length** (`atr_sma_len`, int) Smooth baseline for ATR regime; supports “high\_vol” logic. * **ATR Multiplier Base** (`atr_mult_base`, float) Scales volatility gating (sqrt-scaled); higher = tighter high-vol requirement. * **Disable Volatility Filter** (`disable_volatility_check`, bool) Bypass volatility gating if true. * **Price Change Period (bars)** (`price_change_period_base`, int) Simple momentum check (+/−% over N bars) used in trend validation. * **Base Cooldown Bars Between Signals** (`signal_cooldown_base`, int ≥ 0) Minimum bars to wait between signals (per side). * **Trend Confirmation Bars** (`trend_confirm_bars`, int ≥ 1) Require persistence above/below long SMA for this many bars. * **Use Higher Timeframe Confirmation** (`use_higher_tf`, bool) Turn on/off HTF alignment (no repaint). * **Higher Timeframe for Confirmation** (`higher_tf`, timeframe) E.g., “60” to confirm M15 with H1; used for HTF PDI/MDI/ADX and SMA. * **TP as ATR Multiple** (`tp_atr_mult`, float) For **visual debug** only (drawn after entries); not an order manager. * **SL as ATR Multiple** (`sl_atr_mult`, float) For visual debug only. * **Enable Scalping Mode** (`scalping_mode`, bool) Compresses lengths/thresholds, unlocks micro-PA modules, reduces cooldown. * **Show Debug Lines** (`show_debug`, bool) Plots AI bands, DI/ADX, EMA/SMA, Keltner, vol metrics, and TP/SL (debug). ### 2) AI Score & Thresholds * **AI Score Smooth Len** (`ai_len`, int) EMA smoothing over the raw fusion. * **AI Volatility Window** (`ai_sigma_len`, int) Window to estimate AI mean (μ) and standard deviation (σ). * **K High (sigma)** (`ai_k_hi`, float) Upper band width (σ multiplier) for strong threshold. * **K Low (sigma)** (`ai_k_lo`, float) Lower band width (σ multiplier) for loose threshold. * **Debounce Window (bars)** (`ai_debounce_m`, int ≥ 1) Rolling window length used by the confirm counter. * **Min Bars>Thr in Window** (`ai_debounce_n`, int ≥ 1) Minimum confirmations inside the debounce window to validate a state. * **Use Hysteresis Thresholds** (`ai_hysteresis`, bool) Requires crossing back past a looser band to exit bias → fewer whipsaws. * **Weight DI Edge (0–1)** (`ai_weight_di`, float) Importance of DI edge within the fusion. * **Weight EMA Dist (0–1)** (`ai_weight_ema`, float) Importance of EMA distance (in ATR units). * **Weight RSI Norm (0–1)** (`ai_weight_rsi`, float) Importance of normalized RSI. * **Sensitivity (0–1)** (`sensitivity`, float) Contracts/expands bands (higher = more sensitive). ### 3) Volume Filters * **Volume MA Length** (`vol_ma_len`, int) Baseline for volume Z-score. * **Volume Z-Score Window** (`vol_z_len`, int) Std-dev window for Z-score; larger = fewer volume “spikes”. * **Reversal: Min Volume Z for confirm** (`vol_rev_min_z`, float) Minimum Z required to validate reversals (adaptively relaxed in scalping). * **OBV Slope Lookback** (`obv_slope_len`, int) Rising/falling OBV over this window supports bull/bear confirmations. * **MFI Length** (`mfi_len`, int) Money Flow Index lookback (manual calculation). ### 4) Filters (Breakout / ADX / Reversal) * **Enable Breakout Filter** (`enable_breakout_fil`, bool) Avoid trend entries at lookback highs/lows. * **Breakout Lookback Bars** (`breakout_lookback`, int ≥ 1) Window for the anti-breakout guard. * **Base ADX Length** (`adx_length_base`, int) Lookback for DI/ADX smoothing (also adapted in Scalping Mode). * **Base ADX Threshold** (`adx_threshold_base`, float) Minimum ADX to validate trend context (scaled in Scalping Mode). * **Enable Reversal Filter** (`enable_rev_filter`, bool) Master switch for reversal logic. * **Max ADX for Reversal** (`rev_adx_max`, float) Hard cap: above this ADX, reversals are blocked (unless overridden by AI if allowed in Guards). ### 5) Reversal Guard (regime protection & overrides) * **Strong Trend: ADX add-above Thr** (`guard_adx_add`, float) Extra ADX above `adx_threshold` to mark “strong” trend. * **Strong Trend: min DI spread** (`guard_spread_min`, float) Minimum DI separation to consider a trend “dominant”. * **Require ADX drop from window max (%)** (`guard_adx_drop_min_pct`, float 0–1) ADX must drop at least this fraction from its window maximum to consider “cooling”. * **Regime Window (bars)** (`guard_regime_len`, int ≥ 10) Window over which ADX max is measured for the “cooling” check. * **EMA Slope Lookback** (`guard_slope_len`, int ≥ 2) EMA slope horizon used alongside Keltner for strong-trend identification. * **Keltner Mult (ATR)** (`guard_kc_mult`, float) Keltner width for strong trend bands and exhaustion checks. * **HTF Reversal Block Mode** (`htf_block_mode`, string: `Off` | `On` | `AI-controlled`) * `Off`: never block by HTF. * `On`: block reversals whenever HTF is strong. * `AI-controlled`: block **unless** AI+volume+ADX-cooling override criteria are met. * **AI-controlled: allow AI override** (`ai_htf_override`, bool) Enables the override mechanism in `AI-controlled` mode. * **AI override multiplier (vs band\_hi)** (`ai_override_mult`, float) Strength needed beyond the high band to count as “strong AI”. * **AI override: min bars beyond strong thr** (`ai_override_min_bars`, int ≥ 1) Debounce on the override itself. ### 6) Markers * **Reversal Circle ATR Offset** (`rev_marker_offset_atr`, float ≥ 0) Vertical offset for reversal circles; trend triangles use a separate (internal) offset. ### 7) Scalping Mode Tuning * **Reversal aggressiveness (0–1)** (`scalp_rev_aggr`, float) Higher = looser guards and stronger AI sensitivity. * **Wick: body multiple (bull/bear)** (`scalp_wick_body_mult`, float) Wick must be at least this multiple of body to count as rejection. * **Wick: ATR multiple (min)** (`scalp_wick_atr_mult`, float) Minimal wick length in ATR units. * **Micro EMA factor (vs EMA base)** (`scalp_ema_fast_factor`, float 0.2–0.9) Fast EMA length = base EMA × factor (rounded/int). * **Relax breakout filter in scalping** (`scalp_breakout_relax`, bool) Lets more trend entries through in scalping context. ### 8) ICT-style SMA (bases) * **ICT SMA Long Length (Base)** (`sma_long_len_base`, int) Long-term baseline for regime/trend. * **ICT SMA Short1 Length (Base)** (`sma_short1_len_base`, int) Short baseline for price-action crosses. * **ICT SMA Short2 Length (Base)** (`sma_short2_len_base`, int) Companion short baseline used in PA cross checks. > **Adaptive “effective” values:** When **Scalping Mode** is ON, the script internally shortens multiple lengths (RSI/EMA/ATR/ADX/μσ windows, SMAs) and gently relaxes guards (ADX drop %, DI spread, volume Z, override thresholds), reduces cooldown/confirm bars, and optionally relaxes the breakout filter—so you get **more frequent but still curated** signals. --- ## Plots & debug (optional) * DI+/DI−, ADX (curr + HTF), EMA, long SMA, Keltner up/down (when strong), AI Score, AI mean, AI bands (hi/lo; low plots only when hysteresis is on), Volume MA and Z-score, and ATR-based TP/SL guide (after entries). * These are **study aids**; the indicator does not manage trades. --- ## Recommended use * **Timeframes**: * Scalping Mode: M1–M15. * Standard Mode: M15–H1 (or higher). * **Markets**: Designed for liquid FX, indices, metals, and large-cap crypto. * **Chart type**: Standard candles recommended (Heikin-Ashi alters inputs and hence signals). * **Alerts**: Use “Any alert() function call”. Parse the key/value payloads server-side. --- ## Good to know * **Why some alerts don’t draw shapes retroactively**: markers are drawn **only on** the bar that emitted the signal (no repaint by design). * **Why a reversal didn’t fire**: strong-trend guards + HTF block may have been active; check ADX, DI spread, Keltner position, EMA slope, and whether AI override criteria were met. * **Too many / too few signals**: tune **Scalping Mode**, `signal_cooldown_base`, AI bands (`ai_k_hi/lo`, `sensitivity`), volume Z (`vol_rev_min_z`), and guards (`rev_adx_max`, `guard_*`). --- ## Disclaimer This is an **indicator**, not a strategy or an execution system. It does not place, modify, or manage orders. Markets carry risk—validate on historical data and demo before any live decisions. No performance claims are made. --- ### Version **Scalp Sense AI v11.5** — Adaptive AI bands with hysteresis/debounce, HTF no-lookahead confirmations, guarded reversal logic with AI override, full volume suite (Z, OBV slope, MFI), anti-breakout filter, and a dedicated Scalping Mode with micro-PA cues.
Индикатор Pine Script®
от Algo_Systems
3
BUY & SELL Dynamic DCA StrategyOverview The BUY & SELL Dynamic DCA Strategy is a versatile Pine Script indicator designed for traders seeking a robust Dollar Cost Averaging (DCA) approach to manage both long and short positions across various market conditions and timeframes. This innovative tool combines breakout-based level initiation with a dynamic volatility adjustment, enabling traders to enter positions at optimal DCA points, average them strategically, and manage risk with adjustable stop-loss and take-profit levels. Ideal for scalping on short timeframes (1-minute, 5-minute) or swing trading on longer ones (15-minute, 1-hour, 4-hour). Purpose and Originality The "BUY & SELL Dynamic DCA Strategy" stands out by integrating several trading concepts into a cohesive, trader-friendly system. While it leverages familiar elements like breakout points and ATR (Average True Range), its originality lies in: Dynamic Volatility Adjustment: A custom volatility factor, derived from a capped ATR calculation, dynamically scales DCA entry, averaging, and stop-loss levels. This ensures the strategy adapts to market conditions, tightening in low volatility for scalping and widening in high volatility for swing trading. Dual-Direction DCA: Supports both buy (long) entries on pullbacks and sell (short) entries on rallies, with tailored averaging and exit strategies for each. Timeframe Versatility: Adjusts its sensitivity based on the chart timeframe, making it suitable for rapid scalping or longer-term trend riding without requiring manual recalibration. This unique synthesis justifies its publication as a invite-only script, offering a practical tool that enhances traditional DCA methods with adaptive precision. How It Works The indicator operates through a multi-step process designed to optimize entry, averaging, and exit points: 1. Initial Level Setting: Utilizes high and low threshold (calculated over a user-defined period) to establish initial DCA entry levels. If no threshold is detected, it defaults to the previous bar’s price, ensuring immediate applicability. 2. Dynamic DCA Entry: Entry levels are adjusted using a proprietary volatility factor, which scales the distance from the current price. Long entries trigger when the price falls below this level, while short entries trigger when the price rises above it, with a volume confirmation filter to reduce noise. 3. Averaging Mechanism: A secondary level (Averaging Level) allows traders to add to their position when the price moves further against the trade (down for longs, up for shorts). This level is also volatility-adjusted, providing a structured cost-reduction strategy. 4. Risk and Reward Management: A Final Stop-Loss (Final SL) is set farther out, calculated as a multiple of the volatility-adjusted risk distance, offering protection after averaging. Take-Profit (TP) levels are determined using a user-defined risk-to-reward ratio, ensuring a balanced exit strategy tailored to market movement. 5. Performance Tracking: A real-time win/loss table in the top-right corner records trade outcomes, with wins and losses color-coded based on the trade direction (green/red for long, red/green for short), aiding performance evaluation. Features 1. Dual-Mode Operation : Facilitates both long entries on price dips and short entries on price surges, adaptable to bullish and bearish markets. 2. Volatility-Adaptive Levels: Employs a custom ATR-based adjustment to scale entry, averaging, and stop-loss levels, enhancing responsiveness across timeframes. 3. Visual Tools: Features dashed lines and labels for DCA Entry (green for long, red for short), Final SL (red), and TP (cyan), with debug labels for entries and averages. 4. Timeframe Flexibility: Automatically adjusts threshold periods and volatility factors based on the chart timeframe (1m, 5m, 15m, 1h, 4h), optimizing for scalping or swing trading. 5. Customizable Parameters: Allows fine-tuning of period, DCA factors, and visibility options. Settings Base Length (default: 10): Base period for pivot calculations, scaled by timeframe (e.g., 10 becomes 20 on 5m). Type: 'Wicks' (high/low) or 'Body' (open/close) for price-based levels. RR Ratio (default: 1.2): Risk-to-reward ratio for TP calculation. DCA Entry Factor (default: 1.0): Multiplier for volatility-adjusted DCA entry distance. Avg Level Factor (default: 2.0): Multiplier for averaging level distance. Final SL Factor (default: 3.0): Multiplier for final stop-loss distance. SL Type: 'Close' or 'High/Low' for stop-loss evaluation. Show DCA Entry, Show Avg Level, Show Final SL: Toggle visibility of respective lines. Show Win/Loss Table: Enable/disable performance tracking. Line Style: Select 'Solid', 'Dashed', or 'Dotted'. Usage Instructions 1. Application: Add the "BUY & SELL Dynamic DCA Strategy - JOAT" via the Pine Editor or community scripts on TradingView. 2. Configuration: Scalping (1m, 5m): Set Base Length to 5-10, use a low DCA Entry Factor (0.5-1.0) for tight entries, and a Final SL Factor of 2.0-3.0. Swing Trading (15m, 1h, 4h): Increase Base Length to 15-20, use a higher DCA Entry Factor (1.0-2.0), and set Final SL Factor to 3.0-4.0 for wider stops. Enable visual elements and adjust Line Style as preferred. 3. Signal Interpretation: Long Trade: A green dashed "DCA Entry" line below the price triggers a "Long Entry" label on crossover down. Short Trade: A red dashed "DCA Entry" line above the price triggers a "Short Entry" label on crossover up. Averaging: A yellow "Avg" label (long) or magenta "Avg" label (short) appears at the respective averaging level. Exits: TP (cyan) for wins, Final SL (red) for losses, tracked in the win/loss table. Trade Management: Scalping: Use 1m/5m for quick trades, averaging as price moves against you. Swing Trading: Use 15m/1h/4h to capture trends, averaging for cost adjustment. Manually adjust position size for averaging based on risk tolerance. 5. Performance Monitoring: The top-right table updates with wins (green/red) and losses (red/green) per trade type, helping assess strategy effectiveness. Limitations Manual Averaging: Requires manual position size adjustment at the Averaging Level; automation is not included. Timeframe Sensitivity: May require parameter tuning for optimal performance across 1m to 4h. No Trend Filter: Sideways markets may generate noise; adding a trend indicator could enhance accuracy (future development). Initialization Delay: First trade may be delayed until a pivot is detected, using the current price as a fallback. Originality Justification The custom volAdj method, which caps ATR at a percentage of price and scales it by timeframe, offering a unique volatility adjustment not found in standard indicators. The dual-direction DCA with averaging, combining long and short strategies with volatility-modulated levels, providing a comprehensive trading framework. The timeframe-adaptive design, automatically adjusting pivot periods and volatility factors, making it a versatile tool across scalping and swing trading.
Индикатор Pine Script®
от JackofallTradz
2
HilalimSBHilalimSB A Wedding Gift 🌙 HilalimSB - Revealing the Secrets of the Trend HilalimSB is a powerful indicator designed to help investors analyze market trends and optimize trading strategies. Designed to uncover the secrets at the heart of the trend, HilalimSB stands out with its unique features and impressive algorithm. Hilalim Algorithm and Fixed ATR Value: HilalimSB is equipped with a special algorithm called "Hilalim" to detect market trends. This algorithm can delve into the depths of price movements to determine the direction of the trend and provide users with the ability to predict future price movements. Additionally, HilalimSB uses its own fixed Average True Range (ATR) value. ATR is an indicator that measures price movement volatility and is often used to determine the strength of a trend. The fixed ATR value of HilalimSB has been tested over long periods and its reliability has been proven. This allows users to interpret the signals provided by the indicator more reliably. ATR Calculation Steps 1.True Range Calculation: + The True Range (TR) is the greatest of the following three values: 1. Current high minus current low 2. Current high minus previous close (absolute value) 3. Current low minus previous close (absolute value) 2.Average True Range (ATR) Calculation: -The initial ATR value is calculated as the average of the TR values over a specified period (typically 14 periods). -For subsequent periods, the ATR is calculated using the following formula: ATRt=(ATRt−1×(n−1)+TRt)/n Where: + ATRt is the ATR for the current period, + ATRt−1 is the ATR for the previous period, + TRt is the True Range for the current period, + n is the number of periods. Pine Script to Calculate ATR with User-Defined Length and Multiplier Here is the Pine Script code for calculating the ATR with user-defined X length and Y multiplier: //@version=5 indicator("Custom ATR", overlay=false) // User-defined inputs X = input.int(14, minval=1, title="ATR Period (X)") Y = input.float(1.0, title="ATR Multiplier (Y)") // True Range calculation TR1 = high - low TR2 = math.abs(high - close ) TR3 = math.abs(low - close ) TR = math.max(TR1, math.max(TR2, TR3)) // ATR calculation ATR = ta.rma(TR, X) // Apply multiplier customATR = ATR * Y // Plot the ATR value plot(customATR, title="Custom ATR", color=color.blue, linewidth=2) This code can be added as a new Pine Script indicator in TradingView, allowing users to calculate and display the ATR on the chart according to their specified parameters. HilalimSB's Distinction from Other ATR Indicators HilalimSB emerges with its unique Average True Range (ATR) value, presenting itself to users. Equipped with a proprietary ATR algorithm, this indicator is released in a non-editable form for users. After meticulous testing across various instruments with predetermined period and multiplier values, it is made available for use. ATR is acknowledged as a critical calculation tool in the financial sector. The ATR calculation process of HilalimSB is conducted as a result of various research efforts and concrete data-based computations. Therefore, the HilalimSB indicator is published with its proprietary ATR values, unavailable for modification. The ATR period and multiplier values provided by HilalimSB constitute the fundamental logic of a trading strategy. This unique feature aids investors in making informed decisions. Visual Aesthetics and Clear Charts: HilalimSB provides a user-friendly interface with clear and impressive graphics. Trend changes are highlighted with vibrant colors and are visually easy to understand. You can choose colors based on eye comfort, allowing you to personalize your trading screen for a more enjoyable experience. While offering a flexible approach tailored to users' needs, HilalimSB also promises an aesthetic and professional experience. Strong Signals and Buy/Sell Indicators: After completing test operations, HilalimSB produces data at various time intervals. However, we would like to emphasize to users that based on our studies, it provides the best signals in 1-hour chart data. HilalimSB produces strong signals to identify trend reversals. Buy or sell points are clearly indicated, allowing users to develop and implement trading strategies based on these signals. For example, let's imagine you wanted to open a position on BTC on 2023.11.02. You are aware that you need to calculate which of the buying or selling transactions would be more profitable. You need support from various indicators to open a position. Based on the analysis and calculations it has made from the data it contains, HilalimSB would have detected that the graph is more suitable for a selling position, and by producing a sell signal at the most ideal selling point at 08:00 on 2023.11.02 (UTC+3 Istanbul), it would have informed you of the direction the graph would follow, allowing you to benefit positively from a 2.56% decline. Technology and Innovation: HilalimSB aims to enhance the trading experience using the latest technology. With its innovative approach, it enables users to discover market opportunities and support their decisions. Thus, investors can make more informed and successful trades. Real-Time Data Analysis: HilalimSB analyzes market data in real-time and identifies updated trends instantly. This allows users to make more informed trading decisions by staying informed of the latest market developments. Continuous Update and Improvement: HilalimSB is constantly updated and improved. New features are added and existing ones are enhanced based on user feedback and market changes. Thus, HilalimSB always aims to provide the latest technology and the best user experience. Social Order and Intrinsic Motivation: Negative trends such as widespread illegal gambling and uncontrolled risk-taking can have adverse financial effects on society. The primary goal of HilalimSB is to counteract these negative trends by guiding and encouraging users with data-driven analysis and calculable investment systems. This allows investors to trade more consciously and safely.
Индикатор Pine Script®
от SuleymanB_