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OA - SMESSmart Money Entry Signals (SMES) The SMES indicator is developed to identify potential turning points in market behavior by analyzing internal price dynamics, rather than relying on external volume or sentiment data. It leverages normalized price movement, directional volatility, and smoothing algorithms to detect potential areas of accumulation or distribution by market participants. Core Concepts Smart Money Flow calculation based on normalized price positioning Directional VHF (Vertical Horizontal Filter) used to enhance signal directionality Overbought and Oversold regions defined with optional glow visualization Entry and Exit signals based on dynamic crossovers Highly customizable input parameters for precision control Key Inputs Smart Money Flow Period Smoothing Period Price Analysis Length Fibonacci Lookback Length Visual toggle options (zones, glow effects, signal display) Usage This tool plots the smoothed smart money flow as a standalone oscillator, designed to help traders identify potential momentum shifts or extremes in market sentiment. Entry signals are generated through crossover logic, while optional filters based on price behavior can refine those signals. Exit signals are shown when the smart money line exits extreme regions. Important Notes This indicator does not repaint Works on all timeframes and instruments Best used as a confirmation tool with other technical frameworks All calculations are based strictly on price data Disclaimer This script is intended for educational purposes only. It does not provide financial advice or guarantee performance. Please do your own research and apply appropriate risk management before making any trading decisions.
Indicador Pine Script®
por onurag
2
Curved Trend Channels (Zeiierman)█ Overview Curved Trend Channels (Zeiierman) is a next-generation trend visualization tool engineered to adapt dynamically to both linear and non-linear market behavior. It introduces a novel curvature-based channeling system that grows over time during trending conditions, mirroring the natural acceleration of price trends, while simultaneously leveraging adaptive range filtering and dual-layer candle trend logic. This tool is ideal for traders seeking smooth yet reactive dynamic channels that evolve with market structure. Whether used in curved mode or traditional slope mode, it provides exceptional clarity on trend transitions, volatility compression, and breakout development. █ How It Works ⚪ Adaptive Range Filter Foundation The core of the system is a volatility-based range filter that determines the underlying structure of the bands: Pre-Smoothing of High/Low Data – Highs and lows are smoothed using a selectable moving average (SMA, EMA, HMA, KAMA, etc.) before calculating the volatility range. Volatility Envelope – The range is scaled using a fixed factor (2.618) and further adjusted by a Band Multiplier to form the primary envelope around price. Smoothed Volatility Curve – Final bands are stabilized using a long lookback, ensuring clean visual structure and trend clarity. ⚪ Curved Channel Logic In Curved Mode, the trend channel grows over time when the trend direction remains unchanged: Base Step Size (× ATR) – Sets the minimum unit of slope change. Growth per Bar (× ATR) – Defines the acceleration rate of the channel slope with time. Trend Persistence Recognition – The longer a trend persists, the more pronounced the slope becomes, mimicking real market accelerations. This dynamic, time-dependent logic enables the channel to "curve" upward or downward, tracking long-standing trends with increasing confidence. ⚪ Trend Slope As an alternative to curved logic, traders can activate a regular Trend slope using: Slope Length – Determines how quickly the trend line adapts to price shifts. Multiplicative Factor – Amplifies the sensitivity of the slope, useful in fast-moving markets or lower timeframes. ⚪ Candle Trend Confirmation A robust second-layer trend detection method, the Candle Trend System evaluates directional pressure by analyzing smoothed price action: Multi-tier Smoothing – Trend lines are derived from short-, medium-, and long-term candle movement. █ How to Use ⚪ Trend Identification When the Trend Line direction and Candle Colors are in agreement, this indicates strong, persistent directional conviction. Use these moments to enter with trend confirmation and manage risk more confidently. ⚪ Retest During ongoing trends, the price will often pull back into the dynamic channel. Look for: Support/resistance interactions at the upper or lower bands. █ Settings Scaled Volatility Length – Controls the historical depth used to stabilize the volatility bands. Smoothing Type – Choose from HMA, KAMA, VIDYA, FRAMA, Super Smoother, etc. to match your asset and trading style. Volatility MA Length – Smoothing length for the calculated range; shorter = more reactive. High/Low Smoother Length – Additional smoothing to reduce noise from spikes or false pivots. Band Multiplier – Widens or tightens the band range based on personal preference. Enable Curved Channel – Toggle between curved or regular trend slope behavior. Base Step (× ATR) – The starting point for curved slope progression. Growth per Bar (× ATR) – How much the slope accelerates per bar during a sustained trend. Slope – Reactivity of the standard trend line to price movements. Multiplicative Factor – Sensitivity adjustment for HyperTrend slope. Candle Trend Length – Lookback period for trend determination from candle structure. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicador Pine Script®
por Zeiierman
4
IU Pivot Zones + GMADESCRIPTION: IU Pivot Zones + GMA is a smart price-action-based indicator that detects meaningful support and resistance zones formed through pivot highs/lows while combining them with dynamic zone generation and Geometric Moving Averages (GMA). This tool is built to help traders visualize institutional breakout/rejection zones with clear, logical mapping and live box management — helping you stay ahead of the move. The indicator is designed for intraday, swing, and positional traders who want to enhance their trading decisions with visual confluence zones and market structure logic. USER INPUTS * Pivot point Lengths: Number of bars used to detect pivot highs/lows * Zone length: Controls the thickness of the support/resistance zone; higher values create wider zones * GMA Length: Period for calculating the geometric moving averages based on highs and lows * Allow Bar/candle Color: Enables or disables special candle coloring when price interacts with the zones LOGIC OF THE INDICATOR: * Detects pivot highs and pivot lows using the user-defined length * Compares consecutive pivot levels to determine if they fall within a valid ATR-based price band to form a zone * If confirmed, the indicator dynamically plots a resistance or support box between those pivot points, colored respectively (red for resistance, green for support) * The boxes update in real-time based on price action. If price respects the zone, the box extends forward. If price breaks the zone, the box disappears * Geometric Moving Averages (GMA) based on logarithmic mean of highs and lows are plotted to offer a trend bias * Candles that touch the top of the support zone are colored yellow, and those touching the bottom of the resistance zone are orange, enhancing zone reaction visibility WHY IT IS UNIQUE: * Uses logarithmic-based GMAs, which are smoother and less reactive than traditional moving averages * ATR-based zone logic makes it adaptive to volatility instead of using fixed-width zones * Combines structural levels (pivots), volatility filters (ATR), and trend overlays (GMA) in one unified tool * Real-time zone extension and disappearance logic based on price interaction HOW USER CAN BENEFIT FROM IT: * Spot high-probability breakout or reversal zones that price respects consistently * Use the GMA cloud for trend confirmation — for example, bullish bias when price is above both GMAs * Build price action strategies around zone touches, breakouts, or rejections * Use color-coded candles as real-time alerts for potential entry/exit signals near S/R levels * Save time by avoiding manual marking of zones on charts across timeframes DISCLAIMER: This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Indicador Pine Script®
por Shivam_Mandrai
6
Auto Fractal [theUltimator5]This indicator is what I call the Auto Fractal. It is a unique algorithm that looks back in time, finds a segment on the chart that closest matches the recent price action, then projects the price forwards. It effectively finds chart patterns and shows you what the price did the last time the same/similar chart pattern was observed. Creating an algorithm to match abstract curves to other abstract curves and provide a confidence score was the fundamental problem that needed to be solved in order to create this indicator, which curve matches with surprising accuracy. The most effective method to "curve match" that I found is the Pearson Coefficient, set by a segment length and a lookback period. After the highest coefficient curve is located, the curve then gets scaled and offset to match the current price. The past segment is drawn over the current price (orange line), giving a visualization of the two curves and how closely they match each other. The indicator then projects the price forwards in time based on the price action of the chart from the historical segment (dashed fuchsia line). A bounding box also gets drawn around the historical segment to give you a clear visual of where the price is getting pulled from for proper analysis and ease of use. The Pearson Coefficient % is shown in a table in the top right-hand corner of the chart and can be toggled off if desired. The values range from -100% (perfectly inverse correlation) to +100% (perfectly correlated) with 0 meaning no correlation whatsoever. The closer to +100% the value is, the better the segment match. As with most/all of my indicators, user interface and simplicity was at the top of my priority list. I designed this to be easily readable and intuitive to both novice and veteran traders, without cluttering the chart. Note: This indicator is extremely heavy in terms of memory usage due to nested for loops, and takes several seconds to initially load the chart overlay. If the lookback period is increased too high (>600) then the indicator may time out and fail to load anything. If nothing loads on the chart, try reducing the lookback length and wait up to 10 seconds for lines to appear.
Indicador Pine Script®
por TheUltimator5
9
PLR-Z For Loop🧠 Overview PLR-Z For Loop is a trend-following indicator built on the Power Law Residual Z-score model of Bitcoin price behavior. By measuring how far price deviates from a long-term power law regression and applying a custom scoring loop, this tool identifies consistent directional pressure in market structure. Designed for BTC, this indicator helps traders align with macro trends. 🧩 Key Features Power Law Residual Model: Tracks deviations of BTC price from its long-term logarithmic growth curve. Z-Score Normalization: Applies long-horizon statistical normalization (400/1460 bars) to smooth residual deviations into a usable trend signal. Loop-Based Trend Filter: Iteratively scores how often the current Z-score exceeds prior values, emphasizing trend persistence over volatility. Optional Smoothing: Toggleable exponential smoothing helps filter noise in choppier market conditions. Directional Regime Coloring: Aqua (bullish) and Red (bearish) visuals reinforce trend alignment across plots and candles. 🔍 How It Works Power Law Curve: Price is compared against a logarithmic regression model fitted to historical BTC price evolution (starting July 2010), defining structural support, resistance, and centerline levels. Residual Z-Score: The residual is calculated as the log-difference between price and the power law center. This residual is then normalized using a rolling mean (400 days) and standard deviation (1460 days) to create a long-term Z-score. Loop Scoring Logic: A loop compares the current Z-score to a configurable number of past bars. Each higher comparison adds +1, and each lower one subtracts -1. The result is a trend persistence score (z_loop) that grows with consistent directional momentum. Smoothing Option: A user-defined EMA smooths the score, if enabled, to reduce short-term signal noise. Signal Logic: Long signal when trend score exceeds long_threshold. Short signal when score drops below short_threshold. Directional State (CD): Internally manages the current market regime (1 = long, -1 = short), controlling all visual output. 🔁 Use Cases & Applications Macro Trend Alignment: Ideal for traders and analysts tracking Bitcoin’s structural momentum over long timeframes. Trend Persistence Filter: Helps confirm whether the current move is part of a sustained trend or short-lived volatility. Best Suited for BTC: Built specifically on the BNC BLX price history and Bitcoin’s power law behavior. Not designed for use with other assets. ✅ Conclusion PLR-Z For Loop reframes Bitcoin’s long-term power law model into a trend-following tool by scoring the persistence of deviations above or below fair value. It shifts the focus from valuation-based mean reversion to directional momentum, making it a valuable signal for traders seeking high-conviction participation in BTC’s broader market cycles. ⚠️ Disclaimer The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Indicador Pine Script®
por CipherDecoded
Quantum Edge Pro Quantum Edge Pro - The Microstructure Revolution in NASDAQ Futures Trading Where Mathematical Precision, Market Microstructure, and Quantum Visualization Converge Exclusively Engineered for NASDAQ Micro (MNQ) and E-mini (NQ) Futures The Paradigm Shift: Beyond Traditional Technical Analysis For decades, futures traders have relied on lagging indicators and static rules. Quantum Catalyst Pro represents a revolutionary leap forward - the first trading system to combine: - Advanced Market Microstructure Analysis - Decoding order flow in real-time - Quantum-Inspired Visualization - Seeing market dynamics invisible to others - Dynamic ATR Revolution - Context-aware risk management - Mathematical Precision - Institutional-grade algorithms Traditional futures trading strategies rely on outdated technical indicators designed decades ago. The Quantum Catalyst Pro represents a paradigm shift - combining cutting-edge mathematical concepts with real-time market microstructure analysis, specifically optimized for the unique characteristics of NASDAQ futures contracts. The ATR Revolution: Why We're Different The Fatal Flaw of Traditional ATR Systems Every trading strategy uses ATR for stops and targets. They all fail for the same reasons: 1. ATR is a lagging indicator - It tells you what volatility WAS, not what it IS 2. Fixed multipliers ignore market context - Using 2x ATR in all conditions is like driving with your eyes closed 3. No adaptation to market microstructure - ATR treats all price movement equally, ignoring order flow dynamics 4. Symmetric application - Same distance for stops and targets ignores directional market bias My Revolutionary Solution: Context-Aware Dynamic ATR We've transformed ATR from a blunt tool into a precision instrument: 1. Instrument-Specific ATR Periods ATR Period = NQ: 10 bars | MNQ: 14 bars Why? NQ moves faster and requires more responsive measurements. 2. Dynamic Multiplier System Instead of fixed multipliers, we use: Stop Multiplier = - NQ: 0.8x (tighter due to higher leverage) - MNQ: 1.2x (wider for noise tolerance) Target Multiplier = - Trending: 3.0x stop distance - Ranging: 1.5x stop distance - NQ Additional: 0.8x modifier (scales down targets) 3. Volatility-Adaptive Position Sizing Volatility Adjustment = - Low Vol (ATR% < 0.1): Size × 1.5 - Normal Vol: Size × 1.0 - High Vol (ATR% > 0.3): Size × 0.5 4. Microstructure-Enhanced Exits - Adverse Movement: 0.5x ATR (not full ATR) - Time-Based: 20 bars NQ, 30 bars MNQ - Profit Protection: Dynamic based on market state Why This Changes Everything Traditional ATR systems lose because they: - Place stops at mechanical levels without context - Ignore the difference between noise and directional movement - Fail to adapt to changing market conditions Our system wins because it: - Reads market microstructure to distinguish noise from trend - Adapts dynamically to volatility regimes - Scales intelligently based on instrument characteristics - Protects profits with trailing mechanisms The Microstructure Revolution: Order Flow as Primary Signal Beyond Price: The Hidden Dimension While traditional strategies focus on price patterns, Quantum Catalyst Pro decodes the market's DNA through microstructure analysis: 1. Order Flow Imbalance Calculation Buy Volume = Volume × (Close > Open ? 1.0 : 0.3) Sell Volume = Volume × (Close < Open ? 1.0 : 0.3) Order Flow Imbalance = (Buy - Sell) / Total Volume This asymmetric weighting (1.0 vs 0.3) captures the TRUE directional intent, not just volume. 2. Spread Analysis for Liquidity Spread Ratio = Current Spread / Average Spread Tight Spread = Ratio < 0.7 (high liquidity) 3. Price Efficiency Ratio Efficiency = Price Change / Path Length Measures how directly price moves - high efficiency = strong directional conviction. Core Mathematical Framework Our strategy employs a multi-layered mathematical approach: 1. Adaptive Momentum System The momentum calculation adapts to each instrument's volatility characteristics: Momentum Score = (sign(fast) + sign(medium) + sign(slow)) / 3 Fast Period: MNQ = 5 bars | NQ = 3 bars Medium Period: MNQ = 15 bars | NQ = 10 bars Slow Period: MNQ = 60 bars | NQ = 30 bars ROC Threshold = MNQ: 0.1% | NQ: 0.05% (tighter for larger contract) This tri-layered momentum system captures micro, meso, and macro price movements while adapting to each instrument's tick value and volatility profile. 2. Dynamic Volatility Framework ATR% = (ATR / Close) × 100 Volatility Regime = - Low: ATR% < 0.1 (position size × 1.5) - Normal: 0.1 ≤ ATR% ≤ 0.3 (position size × 1.0) - High: ATR% > 0.3 (position size × 0.5) 3. Position Sizing: The Kelly Criterion Implementation Our position sizing algorithm implements a modified Kelly Criterion: Position Size = (Account × Risk%) / (Stop Distance × Point Value) Risk per Trade: MNQ = 1.5% | NQ = 0.3% (scaled by contract size) Volatility Adjustment: Size × Volatility Multiplier This ensures optimal capital allocation while respecting the 10x leverage difference between MNQ ($2/point) and NQ ($20/point). Entry Signal Generation: Four Pillars of Market Opportunity The Four Pillars of Entry: A Multi-Dimensional Approach 1. Momentum Continuation Entries Conditions Required: - Momentum Score > 0.6 (strong alignment) - ADX > 25 (trending market) - Order Flow Imbalance > 0.3 (directional volume) - Price not at Bollinger Band extreme - Market hours active Mathematical Edge: - Captures 70%+ of trending moves with 65% win rate - Requires ALL three timeframes aligned - NOT at Bollinger Band extremes 2. Mean Reversion Entries Mean Reversion Score = BB Position + RSI Position + Price Position - Score ≥ 2: Strong reversal setup - ADX < 20: Non-trending environment - Tight spread: < 0.7 × average (liquidity confirmation) Mathematical Edge: - 78% win rate in ranging markets - Composite score from RSI + BB + Price position - Only in non-trending environments 3. Breakout Entries Breakout Validation: - Price > Recent High/Low (20-bar for MNQ, 10-bar for NQ) - Volume > 1.5 × Average - Efficiency Ratio > 0.6 (directional conviction) - Momentum confirmation Mathematical Edge: - Captures explosive moves with 3:1 reward/risk - Volume surge (1.5x average) - Captures 3:1 reward/risk moves 4. Power Hour Scalping - Time Window: 2:00 PM - 3:00 PM CT - Requirements: Momentum alignment + High volume + Order flow extremes Mathematical Edge: - Exploits end-of-day positioning with quick profits - Time-based edge (2-3 PM CT) - Requires extreme order flow (>0.5) ## Quantum Visualization: See What Others Can't ### The Visual Revolution Our quantum-inspired visualization system reveals market dynamics invisible to traditional charts: 1. Wick Pressure Analysis Lines Purpose: Identify rejection and absorption zones Visualization: - Red dotted lines: Selling pressure from upper wicks - Green dotted lines: Buying pressure from lower wicks - Width: Proportional to rejection strength - Interpretation: Multiple lines = strong rejection zone Shows WHERE price is rejected, not just that it was 2. Morphism Energy Beams Purpose: Visualize momentum flow between price points Color Coding: - Cyan beams: Bullish momentum flow - Fuchsia beams: Bearish momentum flow - Width: Indicates momentum strength - Interpretation: Thick beams = strong directional conviction Visualizes the FLOW of energy between price points 3. Order Flow Clouds Purpose: Display real-time volume imbalances Visual Design: - Cyan clouds: Buying pressure dominance / Institutional buying - Purple clouds: Selling pressure dominance / Institutional selling - Size: Proportional to imbalance magnitude / Volume intensity - Interpretation: Large clouds = institutional activity Makes invisible order flow visible 4. Quantum Field Grid Purpose: Show market state and volatility zones Color States: - Lime grid: Trending market state - Orange grid: Ranging market state - Density: Indicates volatility level - Interpretation: Dense grid = high volatility environment Shows market regime at a glance 5. Fractal Support/Resistance Grid Purpose: Dynamic price levels based on fractal analysis Implementation: - Dashed lines: Primary S/R levels - Solid glow: Creates neon effect for visibility - Updates: Real-time recalculation - Interpretation: Confluence zones = high probability reversals Self-organizing price memory 6. Entry Signal Visualization - Long Signals: Triple-layered green triangles with glow - Short Signals: Triple-layered red triangles with glow - Effect: Pulsing animation draws attention to entries Risk Management: Institutional-Grade Protection The Fortress Approach: Multi-Layered Protection 1. Initial Stop Loss: - MNQ: 1.2 × ATR (approximately 12-15 points) - NQ: 0.8 × ATR (approximately 8-10 points) 2. Profit Targets: - Trending: 3.0 × Stop Distance - Ranging: 1.5 × Stop Distance - NQ: Additional 0.8× multiplier (tighter targets) 3. Trailing Stop: - Activates at 50% of target - Trails by 50% of stop distance 4. Time-Based Exits: - Maximum hold: 30 bars MNQ | 20 bars NQ - Adverse movement: Exit if -0.5 × ATR from entry 5. Daily Risk Controls: - Hard stop: -$500 (scales with instrument) - Trailing daily stop: Protects 50% of profits above $1,000 - Weekly target: $10,000 (stops trading when achieved) Position Sizing Intelligence Base Risk: MNQ = 1.5% | NQ = 0.3% Kelly Criterion: Optimal f based on win rate Volatility Scaling: Automatic adjustment Max Position: 3 contracts (diversification) Exit Intelligence - Time-based: No hope trades - Adverse movement: Quick loss recognition - Profit protection: Automated scaling Dashboard System: Professional Performance Analytics Main Performance Dashboard (Top-Right) Market State Section: - Trend: TRENDING/RANGING/NEUTRAL with ADX value - Momentum: BULLISH/BEARISH/NEUTRAL with percentage - Volatility: HIGH/NORMAL/LOW with ATR% Order Flow Section: - Flow Direction: BUYING/SELLING with imbalance value - Volume: Relative volume multiplier Performance Section: - Daily P&L: Real-time profit/loss tracking - Weekly P&L: Progress toward $10k target - Status: ACTIVE/STOPPED/TARGET MET Signal Monitor (Bottom-Right) Real-time tracking of all four entry systems: - Momentum signals - Mean reversion signals - Breakout signals - Power hour signals - Trading permission status Color Themes: Professional Customization 1. Cyber (Default): Cyan/Pink neon aesthetic 2. Quantum: Aqua/Fuchsia energy theme 3. Matrix: Classic green/red terminal 4. Aurora: Soft pastel professional theme Commission and Slippage: Prop Firm Optimization Commission Structure ($0.62/contract) This reflects the typical all-in cost for prop firm futures traders: - Exchange fees: ~$0.32 (CME member rate) Platform fees: ~$0.20 - Total: $0.62 per side Slippage Setting (1 tick) Conservative 1-tick slippage accounts for: - MNQ: $0.50 per contract (0.25 point × $2) - NQ: $5.00 per contract (0.25 point × $20) - Rationale: NASDAQ futures are highly liquid with tight spreads These settings ensure realistic backtesting results that match live trading conditions at prop firms. Input Parameters: Complete Configuration Guide Risk Management Parameters Account Size: Your trading capital - Tooltip: "Your trading account balance • Affects position sizing • MNQ: $5k-50k typical | NQ: $25k-100k+ recommended" Risk Per Trade %: 0.015 (1.5%) default - Tooltip: "% of account risked per trade • 1.5% default • CONSERVATIVE: 0.5-1% | MODERATE: 1-2% | AGGRESSIVE: 2-3% • Auto-adjusted by instrument" Max Daily Loss: $500 default - Tooltip: "Daily stop loss • Scales with instrument • MNQ: $500 = 250 pts | NQ: $500 = 25 pts • Includes trailing stop protection" Weekly Target: $10,000 default - Tooltip: "Weekly profit goal • $10k = 5000 MNQ pts or 500 NQ pts • Strategy stops at target to prevent overtrading" Max Positions: 3 default - Tooltip: "Maximum concurrent trades • 3 recommended • Higher = more risk/reward • Consider margin requirements" Trading Session Configuration Trading Start: 830 (8:30 AM CT) - Tooltip: "Session start in Central Time • 830 = 8:30 AM CT = 9:30 AM ET • Aligns with US market open" Trading End: 1500 (3:00 PM CT) - Tooltip: "Session end in Central Time • 1500 = 3:00 PM CT = 4:00 PM ET • 1 hour before market close" Power Hour Start: 1400 (2:00 PM CT) - Tooltip: "Final hour of trading • 1400 = 2:00 PM CT • Increased volatility • Special scalping signals active" Visual Effects Configuration Show Quantum Field: Market energy visualization - Tooltip: "Displays market energy grid • Shows volatility zones • Green = trending | Orange = ranging • Disable for cleaner chart" Show Wick Pressure Lines: Rejection analysis - Tooltip: "Analyzes candle wicks for rejection • Red lines = selling pressure | Green lines = buying pressure • Key for reversal detection" Show Morphism Energy Beams: Momentum flow - Tooltip: "Momentum flow visualization • Cyan = bullish momentum | Fuchsia = bearish momentum • Width indicates strength" Show Order Flow Clouds: Volume imbalances - Tooltip: "Volume delta visualization • Cyan clouds = buying pressure | Purple clouds = selling pressure • Size shows intensity" Show Fractal Grid: Dynamic S/R levels - Tooltip: "Dynamic support/resistance levels • Updates in real-time • Dashed lines with glow effect • Based on fractal highs/lows" Glow Intensity: Visual effect strength - Tooltip: "Visual effect intensity • 1-3: Subtle | 4-6: Balanced | 7-10: Intense • Affects all visual elements" Color Theme: Visual aesthetics - Tooltip: "Visual color scheme • Cyber: Blue/Pink neon | Quantum: Aqua/Fuchsia | Matrix: Green/Red | Aurora: Pastel tones" Development Journey: Engineering Excellence The Challenge Creating a strategy that could handle the 10x leverage difference between MNQ and NQ while maintaining consistent performance required innovative solutions: 1. Instrument Detection: Automatic recognition using tick values 2. Dynamic Scaling: All parameters adjust to contract specifications 3. Risk Parity: Equal dollar risk despite different point values 4. Visual Clarity: Complex data presented intuitively The Solution Through extensive optimization and backtesting: - Adaptive algorithms: Parameters scale with instrument characteristics - Efficient computation: Pre-calculated values for real-time performance - Professional visualization: Institutional-quality displays - Robust risk management: Multiple protection layers Performance Expectations: Realistic Results Backtesting Parameters - Initial Capital: $50,000 (realistic for prop firm account) - Commission: $0.62 per contract per side - Slippage: 1 tick per trade (0.25 points = $5 per contract for NQ) - Risk Per Trade: 0.3% for NQ (auto-scaled from 1.5% base) - Contract Size: NQ = $20 per point - Typical Stop: 8-10 points ($160-200 risk per contract) - Typical Target: 16-30 points ($320-600 profit per contract) Why These Settings Are Conservative - Commission: $0.62 covers exchange, clearing, and platform fees - Slippage: 1 tick is conservative for liquid NQ futures - Account Size: $50k allows proper risk management with NQ's $20/point value - No Pyramiding: Maximum 3 positions prevents overleveraging Expected Performance Metrics Based on historical backtesting with these realistic parameters: - Win Rate: 65-78% across all signal types - Average Win: 1.5-2.5x average loss - Profit Factor: 1.8-2.5 - Maximum Drawdown: Limited to $2,000-3,000 by risk controls - Average Trade Duration: 15-25 bars - Trading Frequency: 3-8 trades per day Real Performance Expectations - Win Rate: 65-78% depending on market regime - Risk/Reward: 1:2 to 1:3 average - Drawdown: Limited by daily stops - Consistency: Positive expectancy across all market conditions Important Disclaimers - Past performance does not guarantee future results - Live trading may differ due to execution delays and market impact - Emotional factors in live trading can affect performance - Market conditions change - strategy requires periodic monitoring Why Quantum Catalyst Pro Dominates The Convergence of Five Edges 1. Microstructure Edge: We see order flow others miss 2. Volatility Edge: Dynamic adaptation vs static rules 3. Visual Edge: Quantum visualization reveals hidden patterns 4. Risk Edge: Sophisticated position sizing and protection 5. Execution Edge: Multiple uncorrelated entry systems The Paradigm Shift This isn't just another indicator mashup. It's a complete reimagining of how to trade futures: - Beyond Indicators: Microstructure as primary signal - Beyond Static Rules: Dynamic adaptation to market state - Beyond Guesswork: Mathematical precision in every decision - Beyond Hope: Systematic edge with bulletproof risk management The Future of Trading Quantum Catalyst Pro represents the future of algorithmic trading: - Beyond indicators: Microstructure as primary signal - Beyond static rules: Dynamic adaptation to market state - Beyond guesswork: Mathematical precision in every decision - Beyond hope: Systematic edge with risk protection This isn't just another trading strategy. It's a complete paradigm shift in how we understand and trade markets. By combining quantum-inspired visualization with microstructure analysis and dynamic risk management, we've created a system that adapts, learns, and profits in any market condition. Revolutionary Features Summary 1. Context-Aware Dynamic ATR - Transforms ATR from static tool to adaptive intelligence - Instrument-specific periods and multipliers - Microstructure-enhanced exits - Volatility-based position sizing 2. Market Microstructure Mastery - Order flow imbalance as primary signal - Asymmetric volume weighting (1.0 vs 0.3) - Spread analysis for liquidity confirmation - Price efficiency ratio for conviction 3. Quantum Visualization Suite - Wick pressure analysis reveals rejection zones - Morphism energy beams show momentum flow - Order flow clouds display institutional activity - Quantum field grid indicates market regime - Fractal S/R with neon glow effects 4. Four-Pillar Entry System - Momentum continuation (65% win rate) - Mean reversion (78% win rate) - Breakout validation (3:1 R/R) - Power hour scalping 5. Fortress Risk Management - Multi-layered protection system - Kelly Criterion position sizing - Daily trailing stops - Time-based and adverse movement exits Stop trading the past. Start trading the future. Trade with Quantum Edge Pro - Where Science Meets Art in Perfect Harmony Created by Dskyz (DAFE) Trading Systems Houston's Hidden Quant Legend Empowering Traders Through Mathematical Innovation
Estratégia Pine Script®
por DskyzInvestments
9
FVG Trailing Stop [LuxAlgo]The FVG Trailing Stop indicator tracks unmitigated Fair Value Gaps (FVG) data to produce a Trailing Stop indicator able to determine if the market is uptrending or downtrending easily. 🔶 USAGE The FVG Trailing Stop is intended to identify trend directions through its position relative to the closing price: Bullish: Price is located above the Trailing Stop, indicating that all Bearish FVGs have been mitigated and the trend is anticipated to continue upwards. Bearish State: Price is located below the Trailing Stop, indicating that all Bullish FVGs have been mitigated and the trend is anticipated to continue downwards. The Trailing Stop originates from two extremities obtained from the average of respective unmitigated FVGs. The specific directional average is also displayed as a more transparent secondary line, however, the trailing stop is derived from this value and a new trend will not be detected until the opposite directional average is crossed. Price reaching the Trailing Stop is caused by retracements and can lead to the following scenarios: Outcome 1: The directional average is crossed next, indicating a new trend direction. Outcome 2: The directional average is held as support or resistance, leading to a new impulse and a continuation of the trend. 🔹 Reset on Cross While price crossing the Trailing Stop should be considered as a sign of an upcoming trend change; it is possible for the price to still evolve outside it. As a solution, we have included the "Reset on Cross" feature, which (as the name suggests) hides and resets the Trailing Stop each time it is crossed, leading to a "Neutral" state. This opens the opportunity for the Trailing Stop to be displayed again once the price moves again in the direction of the pre-established trend. A trader might use this to accumulate positions within a specific trend. 🔶 DETAILS The script uses a typical identification method for FVGs. Once identified, the script collects the point of the FVG farthest from the current price when formed. For Upwards FVGs this is the bottom of the FVG. For Downwards FVGs this is the top of the FVG. The data is managed only to use the last input lookback of FVGs. If an FVG is mitigated, it frees up a spot in the memory for a new FVG, however, if the lookback is full, the oldest will be deleted. From there, it uses a "trailing" logic only to move the Trailing Stop in one direction until the trailing stop resets or the direction flips. The extremities used to calculate the Trailing Stop are created from 2 calculation steps, the first step involves taking the raw average of the FVG mitigation levels, and the second step applies a simple moving average (SMA) smoothing of the precedent-obtained averages. 🔶 SETTINGS Unmitigated FVG Lookback: Sets the maximum number of Unmitigated FVGs that the script will use. Smoothing Length: Sets the smoothing length for the Trailing Stop to reduce erratic results. Reset on Cross: When enabled, hide and reset the Trailing Stop until the price starts moving in the pre-established trend direction again.
Indicador Pine Script®
por LuxAlgo
4
CISD Levels by HAZEDCISD Levels by HAZED - Advanced Market Structure Analysis 📊 Overview The CISD Levels indicator is a sophisticated market structure analysis tool that automatically identifies and plots critical support and resistance levels based on Change in State Direction (CISD) methodology. This indicator helps traders visualize key market turning points and potential breakout/breakdown levels with precision. 🎯 What are CISD Levels? CISD (Change in State Direction) levels represent significant price points where market sentiment shifts from bullish to bearish or vice versa. These levels are dynamically calculated based on: Market structure breaks (higher highs/lower lows) Pullback patterns and trend continuations Real-time price action analysis Dynamic level updates as market conditions evolve ✨ Key Features 🔥 Smart Level Detection Automatically identifies bullish (+CISD) and bearish (-CISD) levels Real-time updates as market structure evolves Intelligent pullback detection algorithm 🎨 Full Customization Colors: Customize bullish/bearish level colors Line Styles: Choose from solid, dotted, or dashed lines Text Labels: Fully customizable text, size, and font options Transparency: Adjustable line transparency (0-100%) Extensions: Control how far lines extend into the future 📈 Historical Analysis Show All Levels: Option to display historical CISD levels Max Levels Control: Limit the number of historical levels shown (1-50) Level Management: Automatic cleanup of old levels 🚨 Smart Alerts Bullish Alerts: Get notified when price breaks above +CISD levels Bearish Alerts: Get notified when price breaks below -CISD levels Alert Frequency: Choose between "Once Per Bar" or "Once Per Bar Close" 📊 Statistics Table Market State: Current bullish/bearish market condition Active Levels: Count of currently active CISD levels Latest Levels: Display of most recent +CISD and -CISD values Positioning: 5 different table positions available 🛠️ How to Use For Swing Traders: Use CISD levels as key support/resistance zones Enter positions on level breaks with proper risk management Set stop losses below/above opposite CISD levels For Day Traders: Watch for price reactions at CISD levels Use levels for entry/exit timing Combine with volume analysis for confirmation For Position Traders: Identify major market structure changes Use higher timeframe CISD levels for strategic entries Monitor level breaks for trend continuation signals ⚙️ Settings Guide CISD Level Settings Bullish/Bearish Colors: Customize level appearance Custom Text: Add your own labels to levels Alert Setup: Enable notifications for level breaks Historical Levels: Choose to show past levels for context Appearance Customization Line Width: 1-5 pixel thickness options Line Style: Solid, dotted, or dashed Extension Bars: Control future projection (1-50 bars) Text Options: Size, font, and bold formatting Statistics Table Enable/Disable: Toggle table visibility Position: 5 placement options on chart Real-time Data: Live market state and level information 🎯 Best Practices Multi-Timeframe Analysis: Use CISD levels across different timeframes for confluence Risk Management: Always use proper position sizing and stop losses Confirmation: Combine with volume, momentum, or other indicators Market Context: Consider overall market conditions and news events Backtesting: Test the levels on historical data before live trading 📋 Technical Specifications Overlay: True (plots directly on price chart) Max Lines: 500 (handles multiple historical levels) Max Labels: 500 (supports extensive labeling) Real-time Updates: Dynamic level calculation and alerts Performance: Optimized code for smooth chart operation 🚀 Why Choose CISD Levels? Precision: Advanced algorithm for accurate level identification Flexibility: Extensive customization options for any trading style Reliability: Proven market structure analysis methodology User-Friendly: Intuitive settings with helpful tooltips Professional: Clean, professional appearance on any chart 📞 Support & Updates This indicator is actively maintained and updated. For questions, suggestions, or feature requests, feel free to reach out through TradingView messaging. ⚠️ Disclaimer: This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management. Past performance does not guarantee future results.
Indicador Pine Script®
por hazedoptions
3 EMA Trend Strategy (Locks Trailing Stop Tightening)3 EMA Trend Strategy (with Trailing Stop Tightening) This open-source strategy uses three Exponential Moving Averages (7, 21, 35) to detect bullish alignment and trigger long entries during strong upward trends. * Entry Logic: A long trade is triggered when EMA 7 > EMA 21 > EMA 35. This alignment signals a confirmed uptrend. * Exit Logic: The strategy uses a trailing stop mechanism. An initial stop (e.g., 10%) follows the high since entry. Once profit reaches a customizable threshold (e.g., 20%), the trailing stop tightens (e.g., to 5%) to help lock in gains. * Backtest Settings (default): Starting capital: $10,000 Commission: 0.1% Slippage: 1 tick Position sizing: 100% of equity per trade (can be reduced to lower risk) * Customization: All trailing logic and EMA settings are configurable. Designed for swing trading and adaptable for multiple timeframes. ⚠️ This is for educational purposes only. Always test on different symbols and timeframes before using in live environments.
Estratégia Pine Script®
por eemani123
Polynomial Deviation BandsThis indicator applies polynomial regression of selectable degree (1st to 4th) to recent price data, fitting a smooth curve that models the underlying price trend more flexibly than linear regression. Around this polynomial regression line, it plots dynamic deviation bands calculated using a variety of selectable methods—including standard deviation, mean/median absolute deviation, exponential deviation, true range deviation, Hull, Frama, Kaufman adaptive, Gaussian weighted, and quantile deviation—providing a comprehensive view of price volatility and dispersion. Key Features: Polynomial regression fit updated on each bar, capturing nonlinear price trends. Multiple deviation calculation options allow customization of band sensitivity and robustness. Bands adjust dynamically to changing volatility and price behavior. Overlay on price chart with optional candle coloring based on trend signals derived from price relative to bands. Trend signals indicated by price crossing upper or lower bands. Useful for identifying trend direction, potential support/resistance, and volatility expansion/contraction. This tool combines advanced statistical modeling with flexible volatility measures to help traders better understand price structure and make informed trading decisions. The indicator is computationally efficient despite polynomial fitting and offers extensive customization for diverse trading styles and markets. Disclaimer Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute investment advice. Trading involves risk and may result in financial loss. Always perform your own research and consult with a qualified financial advisor before making any trading decisions.
Indicador Pine Script®
por MintLeafEdge
Range Breakout + TradePulse HUD + Momentum GlowRange Breakout + TradePulse HUD + Momentum Glow Overview The Range Breakout + TradePulse HUD + Momentum Glow is a sophisticated Pine Script® indicator for TradingView, engineered to provide traders with a comprehensive toolkit for identifying breakout opportunities, monitoring real-time market dynamics, and visualizing momentum shifts. By integrating volatility-based channels, a dynamic heads-up display (HUD), and momentum-driven background glow, this indicator empowers traders with actionable insights for scalping, day trading, or swing trading across stocks, forex, and cryptocurrencies. Key Features Range Breakout System ATR-Based Dynamic Channels: Constructs upper, lower, and mid-channel lines using a smoothed Average True Range (ATR) multiplied by a customizable factor (default: 4x), adapting to market volatility for precise breakout detection. Breakout and Reversal Signals: Generates buy (▲) and sell (▼) signals on mid-channel crossovers, with an optional trend filter to align with the prevailing market direction, enhancing signal reliability. Fakeout Detection: Optionally displays "X" markers for fakeout signals when price briefly breaches channel boundaries but fails to sustain the move, helping traders avoid false breakouts. Customizable Visuals: Offers adjustable channel colors, gradient fill options, and transparency settings for a clean, user-friendly chart display. TradePulse HUD Real-Time Market Dashboard: A sleek, top-center HUD provides critical metrics on the last confirmed bar, including: Price: Current price, color-coded (green for up, red for down). Price Change (%): Percentage change with customizable alert thresholds for significant spikes (default: 3%). Volume Analysis: Displays volume direction (Bullish, Bearish, Neutral) and highlights "Hype" surges when volume exceeds a user-defined threshold relative to its standard deviation (default: 1.5x). Trend Direction: Derived from EMA crossovers (fast: 4-period, slow: 6-period) and volume confirmation, shown as Bullish, Bearish, or Neutral. Momentum Score: A normalized RSI-based score (0–100), color-coded for overbought (>70) or oversold (<30) conditions. Signal Confidence: A composite score (0–100) combining RSI, volume, and EMA divergence to evaluate signal strength. Session Trend: Tracks intraday trends during key US market sessions (Open: 9:30–10:00, Mid: 10:00–14:00, Power Hour: 14:00–16:00, US Eastern Time) with emoji indicators ( for bullish, for bearish, for neutral). RSI: Displays current RSI with customizable overbought (default: 65) and oversold (default: 35) levels. Customizable HUD: Toggle visibility and adjust colors for a tailored trading experience. Momentum Glow Dynamic Background Visualization: Highlights strong market momentum with a background glow (green for bullish when RSI > 80, pink for bearish when RSI < 20), toggleable for minimal chart clutter. Trend Confirmation: Combines channel breakouts with EMA crossovers and volume thresholds to identify high-probability bullish and bearish zones, ideal for trend-following strategies. Session-Based Filtering: Excludes low-volatility "barcode" patterns (price range < 60% of average) to focus on actionable trends during active market hours. Alert System Robust Alerts: Configurable alerts for: Buy/sell signals with optional trend filtering. Price spikes exceeding the user-defined threshold. "Hype" volume surges with a cooldown period (default: 5 bars) to prevent repetitive alerts. EMA bullish/bearish crossovers for trend confirmation. Flexible Thresholds: Customize price change, volume spike, and hype volume multipliers to align with specific trading strategies. How It Works Range Breakout: Calculates a central channel line (HL2) with upper and lower boundaries based on ATR. Breakouts are detected when price crosses these boundaries, while buy/sell signals trigger on mid-channel crossovers, validated by stability and optional trend filters. TradePulse HUD: Integrates EMA, RSI, volume, and price data into a real-time, top-center dashboard, providing a holistic view of market conditions. Momentum Glow: Enhances trend visualization with background glow for extreme RSI conditions, reinforcing breakout signals and trend direction. Session Analysis: Monitors price behavior during key trading sessions, filtering out low-range periods to highlight high-probability trading opportunities. Settings Range Breakout Settings: Line Extension Length: Duration of breakout lines (default: 100 bars). Channel Width Multiplier: ATR multiplier for channel width (default: 4x). Show Fakeout Signals: Toggle fakeout markers (default: disabled). Filter Signals by Trend: Align signals with the broader trend (default: disabled). Colors and Transparency: Customize channel colors and fill opacity. TradePulse HUD Settings: Show HUD: Enable/disable HUD display. Show Momentum Glow: Toggle background glow for momentum visualization. Price Change Alert Threshold: Percentage for price spike alerts (default: 3%). Volume Spike Multiplier: Threshold for volume spikes (default: 1.2x average). Hype Volume Multiplier: Threshold for "Hype" surges (default: 1.5x standard deviation). Hype Cooldown: Minimum bars between hype alerts (default: 5). EMA Periods: Fast (default: 4) and Slow (default: 6) for trend detection. RSI Settings: Period (default: 14), overbought (default: 65), oversold (default: 35). How to Use Add the indicator to your TradingView chart. Customize settings to match your trading style (e.g., adjust channel width, enable trend filters, or tweak HUD colors). Monitor breakout signals (▲ for buy, ▼ for sell), fakeout markers (X), and HUD metrics for real-time context. Use session trend indicators (//) to identify high-probability trading zones. Set up alerts for breakouts, price spikes, volume surges, or EMA crossovers to stay informed. Notes License: Mozilla Public License 2.0 (mozilla.org). Author: © StanTheTradingMan Version: Pine Script® v6 Best Used With: Liquid markets (stocks, forex, crypto) on intraday or daily timeframes. Optimization: Adjust ATR multiplier, EMA periods, and RSI thresholds to optimize for specific assets or strategies. Why Use This Indicator? The Range Breakout + TradePulse HUD + Momentum Glow delivers a powerful combination of breakout detection, real-time market analytics, and momentum visualization. Its intuitive HUD, dynamic glow feature, and robust alert system make it an essential tool for traders seeking clarity and precision in fast-moving markets. Whether capturing intraday moves or riding longer-term trends, this indicator equips you with the insights to trade confidently. Get Started Apply the indicator to your chart, fine-tune settings to suit your strategy, and leverage its advanced features to elevate your trading. For feedback or questions, connect via TradingView.
Indicador Pine Script®
por StanTheTradingMan
Optimized Trend [DaviddTech]Optimized Trend is a comprehensive trend-following indicator that combines multiple analytical techniques for improved decision-making. Key Features: Zero-Lag Exponential Moving Average (ZLEMA) to reduce lag and track price movements more effectively. Adaptive Lag Control: The lag of the ZLEMA can be automatically adjusted based on market volatility (ATR), or manually set for user preference. Composite Score: A weighted measure combining ZLEMA momentum, short-term price changes, ATR-based volatility, and money flow (using Chaikin Money Flow and Money Flow Index). This creates a 0–100 score reflecting overall market strength. Dynamic Bands: ATR-based upper and lower bands shift depending on price relative to the ZLEMA, acting as dynamic support/resistance. Trend Cross Alerts: Plots buy and sell dots when the price crosses the ZLEMA for quick trade signals. Summary Table: Displays key data including composite score, volatility, trend direction, current lag setting, and a market narrative. Uniqueness & Research Basis: This indicator incorporates an adaptive lag mechanism tied to ATR volatility, making the trendline more responsive during high volatility and smoother during calmer markets. It also blends multiple volume/flow metrics into a single money flow component, delivering a synthesized view of market strength not found in traditional ZLEMA tools. How to Use: Identify Trend Direction: Use the ZLEMA color (teal for bullish, maroon for bearish) and composite score to confirm market bias. Monitor Bands: Price reaching the upper band (red fill) may indicate overbought conditions, while the lower band (green fill) may signal oversold conditions. Entry/Exit Signals: Watch for the plotted (buy) and (sell) dots as potential trade signals. Fine-Tune Sensitivity: Adjust ZLEMA length and lag settings in the inputs to better match your trading timeframe and style. Adaptive Lag: Enable or disable to see how dynamic volatility affects responsiveness. This indicator is designed for educational purposes only and should be used with additional confirmation and risk management in your trading plan.
Indicador Pine Script®
por renderingnature1
Percent Change of Range Candles📌 Indicator Description: "Percent Change of Range Candles" This indicator is designed to visualize the percentage price change over a specified number of candles, relative to the historical market range. Instead of traditional candles, it uses a custom "range candle" visualization that reflects relative changes in context with the highest and lowest points within a given period. 🎯 Purpose and Application The goal of this indicator is to: Show how much the current price has changed compared to the price length candles ago (default: 100). Express this change as a percentage of the total price range during that period. Help traders identify extreme price movements, whether bullish or bearish. Serve as an additional filter for momentum zones, divergences, or overextended conditions. ⚙️ How It Works 🔹 Core Calculation: Range: The difference between the highest and lowest price over the selected period (length). Price Change: The difference between the current close and the close length bars ago. Percentage Value: (price_change / range) * 100 🔹 Additional Logic: The synthetic open value is calculated as the average of the last 5 c values. The high and low of each range candle are adjusted: If c is negative, the high is replaced with a shorter-term percentage change (25% of length). If c is positive, the low is adjusted in the same way. 🔹 Visualization: Displays custom candles based on percentage change, not real price. Candle color is green if the current value is above the recent average, and red if below. Horizontal reference lines are drawn at +100, +70, 0, -70, and -100, helping to identify extremes. ✅ Advantages and Use Cases Detects market extremes and potential reversal zones. Useful in volatility or momentum-based strategies. Can serve as a signal filter or divergence detector when combined with other tools (e.g., RSI, MACD).
Indicador Pine Script®
por Aleksin_Aleksandar
🔥Scalping Fusion Strategy v6🔥Scalping Fusion (v6) ✅ Overview: This is a powerful intraday scalping strategy that combines two Super Trend systems: Pivot Super Trend – uses dynamic pivot highs/lows and ATR-based bands. Classic Super Trend – a traditional ATR-based trailing trend filter. By combining both, the strategy ensures strong trend confirmation before taking trades. ⚙️ Core Logic: Buy Entry: Pivot Super Trend turns Bullish (Trend = 1) Classic Super Trend also Bullish Pivot Trend must have just changed from Bearish to Bullish Sell Entry: Pivot Super Trend turns Bearish (Trend = -1) Classic Super Trend also Bearish Pivot Trend must have just changed from Bullish to Bearish 🎯 Stop Loss / Take Profit: Based on ATR (14): Stop Loss = Entry ± 1.5 × ATR Target = Entry ± 3.0 × ATR This ensures dynamic SL/TP based on market volatility. 📈 Key Features: Dual Super Trend Confirmation = Reduces false entries ATR-based Stop Loss & Target = Adaptive to volatility Pivot-based Trend Detection = Detects strong reversals Buy/Sell labels + alerts for easy visual and automated trading ⏱️ Recommended Timeframe: 3-Minute or 5-Minute charts Ideal for fast scalping and high-frequency trading sessions. 🧪 Backtest Suggestions: Use during high volume hours (e.g., 9:15 AM – 2:30 PM) Filter trades using volume or session-based logic Consider adding maximum trades per day for better risk control
Estratégia Pine Script®
por Preeti0301
CNN Statistical Trading System [PhenLabs]📌 DESCRIPTION An advanced pattern recognition system utilizing Convolutional Neural Network (CNN) principles to identify statistically significant market patterns and generate high-probability trading signals. CNN Statistical Trading System transforms traditional technical analysis by applying machine learning concepts directly to price action. Through six specialized convolution kernels, it detects momentum shifts, reversal patterns, consolidation phases, and breakout setups simultaneously. The system combines these pattern detections using adaptive weighting based on market volatility and trend strength, creating a sophisticated composite score that provides both directional bias and signal confidence on a normalized -1 to +1 scale. 🚀 CONCEPTS • Built on Convolutional Neural Network pattern recognition methodology adapted for financial markets • Six specialized kernels detect distinct price patterns: upward/downward momentum, peak/trough formations, consolidation, and breakout setups • Activation functions create non-linear responses with tanh-like behavior, mimicking neural network layers • Adaptive weighting system adjusts pattern importance based on current market regime (volatility < 2% and trend strength) • Multi-confirmation signals require CNN threshold breach (±0.65), RSI boundaries, and volume confirmation above 120% of 20-period average 🔧 FEATURES Six-Kernel Pattern Detection: Simultaneous analysis of upward momentum, downward momentum, peak/resistance, trough/support, consolidation, and breakout patterns using mathematically optimized convolution kernels. Adaptive Neural Architecture: Dynamic weight adjustment based on market volatility (ATR/Price) and trend strength (EMA differential), ensuring optimal performance across different market conditions. Professional Visual Themes: Four sophisticated color palettes (Professional, Ocean, Sunset, Monochrome) with cohesive design language. Default Monochrome theme provides clean, distraction-free analysis. Confidence Band System: Upper and lower confidence zones at 150% of threshold values (±0.975) help identify high-probability signal areas and potential exhaustion zones. Real-Time Information Panel: Live display of CNN score, market state with emoji indicators, net momentum, confidence percentage, and RSI confirmation with dynamic color coding based on signal strength. Individual Feature Analysis: Optional display of all six kernel outputs with distinct visual styles (step lines, circles, crosses, area fills) for advanced pattern component analysis. User Guide • Monitor CNN Score crossing above +0.65 for long signals or below -0.65 for short signals with volume confirmation • Use confidence bands to identify optimal entry zones - signals within confidence bands carry higher probability • Background intensity reflects signal strength - darker backgrounds indicate stronger conviction • Enter long positions when blue circles appear above oscillator with RSI < 75 and volume > 120% average • Enter short positions when dark circles appear below oscillator with RSI > 25 and volume confirmation • Information panel provides real-time confidence percentage and momentum direction for position sizing decisions • Individual feature plots allow granular analysis of specific pattern components for strategy refinement 💡Conclusion CNN Statistical Trading System represents the evolution of technical analysis, combining institutional-grade pattern recognition with retail accessibility. The six-kernel architecture provides comprehensive market pattern coverage while adaptive weighting ensures relevance across all market conditions. Whether you’re seeking systematic entry signals or advanced pattern confirmation, this indicator delivers mathematically rigorous analysis with intuitive visual presentation.
Indicador Pine Script®
por PhenLabs
Supply/Demand Zones + Engulfment-based ExecutionSupply/Demand Zones + Engulfment-Based Execution Strategy Overview This strategy combines institutional trading concepts—supply/demand zones and engulfing candle patterns—to generate high-probability long and short trade setups. The system uses aggregated price action to identify potential reversal zones and confirms entries with engulfing candle patterns, ensuring trades are only taken when market structure shows commitment in the direction of the trade. Core Concepts • Supply & Demand Zones: These are automatically detected by analyzing aggregated bullish and bearish candle structures over user-defined intervals. Supply zones are formed after bearish continuation patterns; demand zones appear after bullish continuation patterns. • Engulfing Entries: Once price enters a zone, the strategy waits for a bullish engulfing pattern (in a demand zone) or a bearish engulfing pattern (in a supply zone) before executing a trade. This adds confirmation and reduces false signals. • Risk Management: Stop-loss is placed at the low (for long trades) or high (for short trades) of the engulfed candle. Take-profit can be calculated using a fixed R-multiple (risk-to-reward ratio) or a user-defined target price. Key Features Fully customizable aggregation factor for zone detection Visual zone boxes, entry/SL/TP boxes, and engulfing pattern labels Optional removal of mitigated zones for cleaner charting Configurable trade mode (Long only, Short only, or Both) Support for trading sessions and date filtering Alerts for price entering supply or demand zones How to Use Select Aggregation Factor: Choose how many candles to group together for identifying key zones (e.g., 4x timeframe). Enable Zones: Turn on supply and/or demand zones as needed. Set Execution Parameters: – Choose R-multiple (e.g., 2:1 risk-reward) – Or use a fixed take-profit price Define Trade Time Window: – Set the date and time ranges to restrict execution – Use Start Hour and End Hour to limit trades to specific sessions (e.g., London/New York) Run on Desired Timeframe: Typically used on 15m–4H charts, depending on your strategy and the asset’s volatility. Ideal For • Traders using Smart Money Concepts (SMC) • Those who value high-confluence entries • Intraday to swing traders looking for structure-based automation ⚠️ Important Notes • The strategy requires engulfing confirmation within the zone to enter a position. • This script does not repaint and executes trades on a bar close basis. • Backtest results may vary based on session filters and aggregation factor. © Attribution This strategy was developed by The_Forex_Steward and is licensed under the Mozilla Public License 2.0. You are free to use, modify, and distribute it under the terms of that license.
Estratégia Pine Script®
por The_Forex_Steward
Zero Lag Trend Strategy (MTF) [AlgoAlpha]# Zero Lag Trend Strategy (MTF) - Complete Guide ## Overview The Zero Lag Trend Strategy is a sophisticated trading system that combines zero-lag exponential moving averages with volatility bands and EMA-based entry/exit filtering. This strategy is designed to capture trending movements while minimizing false signals through multiple confirmation layers. ## Core Components ### 1. Zero Lag EMA (ZLEMA) - **Purpose**: Primary trend identification with reduced lag - **Calculation**: Uses a modified EMA that compensates for inherent lag by incorporating price momentum - **Formula**: `EMA(price + (price - price ), length)` where lag = (length-1)/2 - **Default Length**: 70 periods (adjustable) ### 2. Volatility Bands - **Purpose**: Define trend strength and entry/exit zones - **Calculation**: Based on ATR (Average True Range) multiplied by a user-defined multiplier - **Upper Band**: ZLEMA + (ATR * multiplier) - **Lower Band**: ZLEMA - (ATR * multiplier) - **Default Multiplier**: 1.2 (adjustable) ### 3. EMA Filter/Exit System - **Purpose**: Entry filtering and exit signal generation - **Default Length**: 9 periods (fully customizable) - **Color**: Blue line on chart - **Function**: Prevents counter-trend entries and provides clean exit signals ## Entry Logic ### Long Entry Conditions 1. **Primary Signal**: Price crosses above the upper volatility band (strong bullish momentum) 2. **Additional Entries**: Price crosses above ZLEMA while already in an uptrend (if enabled) 3. **EMA Filter**: Price must be above the EMA filter line 4. **Confirmation**: All conditions must align simultaneously ### Short Entry Conditions 1. **Primary Signal**: Price crosses below the lower volatility band (strong bearish momentum) 2. **Additional Entries**: Price crosses below ZLEMA while already in a downtrend (if enabled) 3. **EMA Filter**: Price must be below the EMA filter line 4. **Confirmation**: All conditions must align simultaneously ## Exit Logic **Simple and Clean**: Positions are closed when price crosses the EMA filter line in the opposite direction: - **Long Exit**: Price crosses below the EMA filter - **Short Exit**: Price crosses above the EMA filter ## Multi-Timeframe Analysis The strategy includes a real-time table showing trend direction across 5 different timeframes: - Default timeframes: 5m, 15m, 1h, 4h, 1D (all customizable) - Color-coded signals: Green for bullish, Red for bearish - Helps confirm overall market direction before taking trades ## Key Parameters ### Main Calculations - **Length (70)**: Zero-lag EMA calculation period - **Band Multiplier (1.2)**: Controls volatility band width ### Strategy Settings - **Enable Additional Trend Entries**: Allow multiple entries during strong trends - **EMA Exit Length (9)**: Period for the entry filter and exit EMA ### Timeframes - **5 customizable timeframes** for multi-timeframe trend analysis ### Appearance - **Bullish Color**: Default green (#00ffbb) - **Bearish Color**: Default red (#ff1100) ## Visual Elements ### Chart Display - **ZLEMA Line**: Color-coded trend line (green/red based on trend direction) - **Volatility Bands**: Dynamic upper/lower bands that appear based on trend - **EMA Filter**: Blue line for entry filtering and exits - **Entry Signals**: - Large arrows (▲▼) for primary trend signals - Small arrows for additional trend entries - Tiny letters (L/S) for actual strategy entries ### Information Table - **Position**: Top-right corner - **Content**: Real-time trend status across all configured timeframes - **Updates**: Continuously updated with current market conditions ## Strategy Advantages ### Trend Following Excellence - Captures strong trending moves with reduced whipsaws - Multiple confirmation layers prevent false entries - Dynamic bands adapt to market volatility ### Risk Management - Clear, objective exit rules - EMA filter prevents counter-trend trades - Multi-timeframe confirmation reduces bad trades ### Flexibility - Fully customizable parameters - Works across different timeframes and instruments - Optional additional trend entries for maximum profit potential ### Visual Clarity - Clean, professional chart display - Easy-to-read signals and trends - Comprehensive multi-timeframe overview ## Best Practices ### Parameter Optimization - **Length**: Higher values (50-100) for longer-term trends, lower values (20-50) for shorter-term - **Band Multiplier**: Higher values (1.5-2.0) reduce signals but increase quality - **EMA Length**: Shorter periods (5-13) for quick exits, longer periods (20-50) for trend riding ### Market Conditions - **Trending Markets**: Enable additional trend entries for maximum profit - **Choppy Markets**: Use higher band multiplier and longer EMA for fewer, higher-quality signals - **Different Timeframes**: Adjust all parameters proportionally when changing chart timeframes ### Multi-Timeframe Usage - Align trades with higher timeframe trends - Use lower timeframes for precise entry timing - Avoid trades when timeframes show conflicting signals ## Risk Considerations - Like all trend-following strategies, may struggle in ranging/choppy markets - EMA exit system prioritizes trend continuation over quick profit-taking - Multiple timeframe analysis requires careful interpretation - Backtesting recommended before live trading with any parameter changes ## Conclusion The Zero Lag Trend Strategy provides a comprehensive approach to trend trading with built-in risk management and multi-timeframe analysis. Its combination of advanced technical indicators, clear entry/exit rules, and customizable parameters makes it suitable for both novice and experienced traders seeking to capture trending market movements.
Estratégia Pine Script®
por M4ndoo
ORB2The "ORB2" Indicator (Opening Range Breakout 2) is designed to identify the key price range at the beginning of the trading day—commonly referred to as the opening range. Its main purpose is to help traders detect potential breakout points from this range, which are often used as signals for trade entries. 📌 Purpose The indicator visually marks the highest (high) and lowest (low) price within a defined time interval at the start of the session (e.g., from 09:15 to 09:20). These values form what’s known as the opening range, which is often considered a consolidation zone before the market chooses a direction. ⚙️ How It Works Time Setup: The user defines the time window during which the opening range is monitored (default: 09:15–09:20). The high and low values are tracked within this interval. Session Detection: When the defined session begins (is_first), the indicator records the current high and low as the initial ORB levels. Range Updating: During the session, if a new candle has a higher high or a lower low than the previously recorded ORB range, the indicator updates the levels accordingly. Visualization: The ORB zone is displayed as a shaded area (a blue fill between a green upper line and a red lower line)—but only when applied to intra-day charts with a time interval less than or equal to the specified inputMax (e.g., 5 minutes). 🎯 Purpose and Benefits Quick breakout detection – Helps traders easily identify when price breaks out of the initial consolidation. Clear visualization – Highlights the high/low boundaries and range area, making breakout strategies more effective. Customizability – The user can adjust the session time and the maximum allowed chart resolution for display.
Indicador Pine Script®
por Aleksin_Aleksandar
1
[Kpt-Ahab] Poor Mans Orderflow SimulatorScript Description – Poor Mans Orderflow Simulator Purpose of the Script This script simulates a simplified order flow approach ("Poor Man's Orderflow") without access to actual Bid/Ask data. The goal is to detect, quantify, and visualize patterns such as absorption, impulsive moves, and structured re-entry behaviors. Calculation Logic Absorption Candles A candle is classified as "absorption" if: The ratio of body size to full candle range is below a defined threshold, Volume is significantly higher than the average of the last N periods, The candle direction is negative (for long absorption) or positive (for short absorption). These conditions define a candle with high activity but minimal price movement in the respective direction. Impulse Candles A candle is classified as "impulse" if: The body-to-range ratio is high (indicating a strong directional move), Volume exceeds the average significantly, The price closes in the direction of the candle body (bullish or bearish). Additionally, the average range of previous candles serves as a minimum benchmark for the impulse. Cluster Detection A cluster is detected when: A minimum number of absorption candles is counted within a defined lookback period, Either the long or short version of the absorption logic is used, The result is a binary condition: cluster active or inactive. Entry Signals (Re-entry) An entry signal is generated when: One or more absorption candles occurred in the last two bars, A pullback against the direction of absorption occurs, The current candle shows a directional move confirmed by a close in the expected direction. These re-entry signals are evaluated separately for long and short scenarios. Cluster-Confirmed Signals A separate signal is generated when a valid re-entry setup occurs while a cluster is active. This represents a combined logic condition. Alert Logic The script provides a multi-layer alert framework: Signal selection (Alertmode): The user defines which signal type should trigger an alert (e.g. re-entry only, cluster only, combination, or impulse). Optional filter (Filtermode): A secondary filter limits alerts to cases where an additional condition (e.g. absorption cluster) is active. Signal output: As a simple binary value (+1 / –1) for classic alerts, Or via an encoded Multibit signal, compatible with other modules in the djmad ecosystem. These alerts are intended for integration with external systems or for use within platform-native visual or automation features.
Indicador Pine Script®
por Kpt-Ahab