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Kimchi PremiumKimchi Premium Indicator Track the price difference between Korean cryptocurrency exchanges and global markets - a key metric for understanding regional market sentiment and arbitrage opportunities. What is the Kimchi Premium? The Kimchi Premium measures how much more (or less) cryptocurrencies trade on Korean exchanges compared to global exchanges. Named after Korea's famous fermented dish, this premium often reflects Korean retail investor sentiment and capital flow restrictions. How It Works: • Fetches prices from Korean exchanges (Upbit, Bithumb) in KRW • Compares against global exchanges (Binance, Coinbase, Kraken, Bybit, OKX) in USD/USDT • Automatically converts KRW to USD using Pepperstone's USD/KRW rate • Calculates the premium as: (Korean Price USD - Global Price) / Global Price * 100 Visual Indicators: • Green bars = Korean exchanges trading at a premium (more expensive) • Red bars = Korean exchanges trading at a discount (cheaper) • Histogram style with zero baseline for easy interpretation Key Features: • Exchange Selection: Choose individual Korean/global exchanges or averaged prices across multiple venues • Display Options: View premium in percentage (%) or absolute dollar ($) terms • Inverse Mode: Flip perspective to show global premium over Korean prices • Moving Average: Smooth out noise with customizable MA period • Live Table: Real-time premium display in top-right corner • Auto-Detection: Works with any crypto pair on your chart (BTC, ETH, XRP, etc.) Trading Applications: • Sentiment Analysis: Extreme premiums (>5%) often signal Korean retail FOMO - potential reversal zones • Arbitrage Identification: Large premiums/discounts highlight profit opportunities (consider logistics/capital controls) • Regional Flow Tracking: Monitor capital movement into/out of Korean crypto markets • Risk Management: Historical data shows massive premiums often coincide with local tops Customization Options: • Korean exchanges: Averaged out, Upbit, Bithumb • Global exchanges: Averaged out, Binance, Coinbase, Kraken, Bybit, OKX • Display format: Percentage or dollar amount • Moving average toggle and period adjustment • Table display on/off • Inverse premium view Pro Tips: • Use "Averaged out" settings for most reliable data across multiple venues • Watch for premium spikes above 3-5% as potential sentiment extremes • Negative premiums can indicate Korean selling pressure or efficient arbitrage • Combine with volume analysis for stronger signals
Pine Script® göstergesi
traderview2 tarafından
xGhozt Stoch RSI + Keltner InvertedA powerful trend-following and reversal strategy combining two robust indicators with "OR" logic. It generates buy/sell signals when either: Stochastic RSI shows strong overbought/oversold conditions for multiple consecutive bars. Keltner Channels (Inverted) signal a breakout above the upper band (for longs) or below the lower band (for shorts), indicating momentum. Includes optional ATR-based Stop Loss/Take Profit and flexible trade direction controls.
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xGhozt tarafından
Hann Window FIR Filter Ribbon [BigBeluga]🔵 OVERVIEW The Hann Window FIR Filter Ribbon is a trend-following visualization tool based on a family of FIR filters using the Hann window function. It plots a smooth and dynamic ribbon formed by six Hann filters of progressively increasing length. Gradient coloring and filled bands reveal trend direction and compression/expansion behavior. When short-term trend shifts occur (via filter crossover), it automatically anchors visual support/resistance zones at the nearest swing highs or lows. 🔵 CONCEPTS Hann FIR Filter: A finite impulse response filter that uses a Hann (cosine-based) window for weighting past price values, resulting in a non-lag, ultra-smooth output. hannFilter(length)=> var float hann = na // Final filter output float filt = 0 float coef = 0 for i = 1 to length weight = 1 - math.cos(2 * math.pi * i / (length + 1)) filt += price * weight coef += weight hann := coef != 0 ? filt / coef : na Ribbon Stack: The indicator plots 6 Hann FIR filters with increasing lengths, creating a smooth "ribbon" that adapts to price shifts and visually encodes volatility. Gradient Coloring: Line colors and fill opacity between layers are dynamically adjusted based on the distance between the filters, showing momentum expansion or contraction. Dynamic Swing Zones: When the shortest filter crosses its nearest neighbor, a swing high/low is located, and a triangle-style level is anchored and projected to the right. Self-Extending Levels: These dynamic levels persist and extend until invalidated or replaced by a new opposite trend break. 🔵 FEATURES Plots 6 Hann FIR filters with increasing lengths (controlled by Ribbon Size input). Automatically colors each filter and the fill between them with smooth gradient transitions. Detects trend shifts via filter crossover and anchors visual resistance (red) or support (green) zones. Support/resistance zones are triangle-style bands built around recent swing highs/lows. Levels auto-extend right and adapt in real time until invalidated by price action. Ribbon responds smoothly to price and shows contraction or expansion behavior clearly. No lag in crossover detection thanks to FIR architecture. Adjustable sensitivity via Length and Ribbon Size inputs. 🔵 HOW TO USE Use the ribbon gradient as a visual trend strength and smooth direction cue. Watch for crossover of shortest filters as early trend change signals. Monitor support/resistance zones as potential high-probability reaction points. Combine with other tools like momentum or volume to confirm trend breaks. Adjust ribbon thickness and length to suit your trading timeframe and volatility preference. 🔵 CONCLUSION Hann Window FIR Filter Ribbon blends digital signal processing with trading logic to deliver a visually refined, non-lagging trend tool. The adaptive ribbon offers insight into momentum compression and release, while swing-based levels give structure to potential reversals. Ideal for traders who seek smooth trend detection with intelligent, auto-adaptive zone plotting.
Pine Script® göstergesi
BigBeluga tarafından
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Ultimate Position Sizer [FXLoneWolf]Ultimate Position Sizer is your all-in-one risk management tool built specifically for Forex, Commodities, Indices, and Cryptocurrency traders. Whether you're trading XAUUSD, NAS100, BTCUSDT, or DAX, this powerful indicator ensures precise and professional position sizing based on your capital, risk percentage, stop loss distance, and account leverage. With real-time calculations and intuitive visuals, the tool helps you take control of your risk per trade — a cornerstone of professional trading discipline. From scalpers to swing traders, this tool adapts seamlessly to any asset class and trading strategy. 🔧 Key Features: Works on all asset classes: Forex, Commodities (XAUUSD, USOIL), Indices (SPX500, US30), Crypto (BTC, ETH), and more. Dynamic position size calculation based on stop loss, risk %, and leverage. Auto-calculates lot size, risk in USD, and potential reward. Visual trade metrics: SL, Entry, TP, and Risk:Reward labels. Clean, intuitive UI with customizable inputs. Supports both long and short positions. Helps enforce professional risk management discipline. Enhance your trading accuracy, protect your capital, and gain confidence with the Ultimate Position Sizer – trusted by disciplined traders worldwide. Sample:
Pine Script® göstergesi
k4u5h47 tarafından
Random HTFRandom HTF is a powerful market structure overlay designed for intraday and swing traders who want to anchor their trades using high-probability zones, NFP alignment, and historical statistical edge. 🧠 Core Features Weekly 5 EMA Anchor Plots the weekly 5-period EMA and calculates custom upper/lower EMA zones (e.g., 2.5%–3%) to define optimal extension/reversion levels. Session Box Framework Automatically maps key opening sessions: Sunday 6:00–7:30 PM ET (Asia open structure) Tuesday 9:30–10:30 AM ET (often key pivot for the week) Monthly Structure Levels Prior Month High, Low, Mid, and 30% retracement (dynamic bullish/bearish logic) Includes current month 30% level Optional historical monthly lines for deeper confluence Previous Week Levels High, Low, 25%, 50%, 75% zones Custom coloring, line styles, and penetration analysis with tables NFP Mode (Non-Farm Payroll Smart Context) Automatically detects NFP Fridays Builds weekly/monthly boxes from that candle Annotates whether price is above/below/inside NFP range 📊 Probability Engine (Optional) Enable advanced stats to access: Weekly penetration probabilities into custom EMA zones Entry/completion rates for each zone Median/mean/mode of weekly price extensions Full day-of-week breakdown showing which days tend to hit/exceed your configured zone Opening-position impact vs EMA (does the week open above or below?) 📐 Ideal Use Case Trade intraday breakouts/reversions with awareness of higher timeframe stretch Use EMAs + zones to frame when a move is extended or just beginning Identify structural traps/fakeouts around NFPs, Tuesdays, or prior month levels Quantify whether the market is operating in a compressed or expansive state 🔧 Customization Full control over: Time filtering (e.g., only analyze 9:30–16:00 ET) EMA lengths and percentage bands Zone styling (colors, labels, widths) Whether to show current vs. historical levels This tool blends HTF structure, macro calendar awareness, and quantified stretch behavior into a single overlay. Perfect for traders who want probabilistic alignment before entering intraday setups.
Pine Script® göstergesi
mickey1984 tarafından
Reversal & Breakout Strategy - CompleteThis is a complete intraday trading strategy script for TradingView that lets you: 1. Choose Between Two Styles of Trades: Reversals: It looks for large bullish or bearish candles during market sessions and enters trades expecting price to reverse. Breakouts: It scans for price breaking above or below a recent high or low (based on a lookback range) and enters in the direction of the breakout. 2. Filters Trades by Session and Day Type: Trades only during sessions you choose: NY1, NY2, London, Asia, etc. Trades only on specific day types (e.g., DNP, DWP, Range 1, Range 2), as classified by a custom daily behavior model. 3. Uses 9:30 AM Candle Logic (ORB): Captures the 9:30 AM Eastern candle's high/low using 1-minute data. Allows breakout confirmation using this range. 4. Entry + Exit Logic: Enters on reversal or breakout confirmation. Automatically places stop-loss and take-profit orders (based on your input, in ticks or points). Can require classification before entry (e.g., don’t trade until the market type is known). 5. Tracks Trades and Performance: Records each trade's PnL, drawdown, win/loss, classification, time, and session. Displays a table with analytics like win rate, expectancy, average drawdown, trade distribution by day/classification. 6. Visually Shows All Trades: Draws arrows and shapes when trades are triggered. Labels when trades are blocked (e.g., if not classified yet). Plots breakout levels and 9:30 AM box.
Pine Script® stratejisi
mickey1984 tarafından
[iQ]PRO Quantum LagMan+ PRO Quantum LagMan+ (QLM+) — A Fusion Oscillator for Regime-Aware Entries Overview PRO Quantum LagMan+ is a next‑generation oscillator built for precision timing in dynamic markets. It blends advanced signal processing (multi-mode Laguerre smoothing) with physics-inspired analytics (Tsallis entropy, Hurst exponent, Lyapunov dynamics, and a tunneling probability model) to create a single fusion signal designed to adapt across regimes. The result is an actionable, regime-aware oscillator with adaptive thresholds, quantum energy band context, volatility gating, and optional trend filtering—complete with alerts, signal markers, and an information panel. What it does Normalizes momentum: Converts a Laguerre-based oscillator to a stable 0–1 scale for clear, cross-market comparability. Maps “quantum” states: Assigns the oscillator to discrete energy bands to estimate state transitions and momentum intensity. Fuses chaos and structure: Blends oscillator intensity, quantum momentum, and measured complexity/entropy into a single fusion line. Filters by regime: Volatility and trend filters aim to suppress low-quality signals in quiet or unfavorable conditions. Generates clean signals: Adaptive long/short thresholds with cooldown logic and coherence checks to reduce noise. Explains itself: An info table displays fusion value, band index, entropy and chaos metrics, tunneling probability, and filter status. Core components Laguerre Multi-Mode Engine Function: and1lag computes an ultimate smoother (ult), optional blended Laguerre filters, and a robust z-scored oscillator. Control: period, lag, lagmode , RMSP add flexibility across timeframes and instruments. Quantum Engine Quantum Energy Levels: Discrete “bands” derived from normalized oscillator statistics. Quantum Momentum: A 0–1 measure based on the current band position to capture intensity of state. Coherence: Proximity between the oscillator and its active band (higher coherence = higher confidence). Tunneling Probability: A barrier-like model that estimates the probability of a transition through local resistance/support structure. Advanced Physics Layer (optional, heavy CPU) Tsallis Entropy: A generalized entropy measure; elevated values can correspond to more complex or uncertain dynamics. Lyapunov Exponent: A proxy for local sensitivity to initial conditions; higher values suggest chaotic/unstable behavior. Hurst Exponent: A measure of persistence vs. mean reversion (H > 0.5 persistent, H < 0.5 mean-reverting). These terms are summarized for trader context; the script uses bounded, practical implementations tuned for charting. Fusion Oscillator Composition: 50% normalized oscillator + 25% quantum momentum + 25% chaos/entropy blend. Range: Constrained to for intuitive thresholds and consistent interpretation. Regime Filters and Signals Trend Filter: trendEMA with configurable trendLen to align signals with primary direction. Volatility Filter: ATR-based gating with atrMultMin/atrMultMax bands, focusing on tradable volatility. Adaptive Thresholds: Dynamic long/short thresholds scale with observed volatility. Cooldown: signalCooldownBars limits rapid-fire signals to reduce whipsaw. Alerts: Built-in alertcondition for automated notifications. Visuals and UI Main plots: Fusion (thick, color-changing by state) Norm Laguerre Osc (baseline momentum) Quantum Momentum (band-based intensity) Chaos Resonance (entropy/chaos contribution) Bands and zones: Quantum band visualization for context Entropy zones via background shading (high/low extremes) Info Table (showInfoTable): Fusion, Quantum Band index, Hurst, Tsallis, Lyapunov, Tunneling Probability, Coherence, Volatility OK Signal Markers: Long: triangle up at bottoms Short: triangle down at tops Suggested usage Entries: Long bias when Fusion rises from low zones toward midline with high coherence, tunnel probability above threshold, trend filter positive, and volatility OK. Short bias when Fusion falls from high zones with similar filter alignment and coherence. Exits: Consider scaling out near extremes (Fusion > 0.8 or < 0.2), during entropy spikes, or when coherence weakens. Regime awareness: Adjust trendLen for your timeframe. Tighten atrMultMin to avoid low-vol chop. Use adaptiveThresholds for cross-asset consistency. Key inputs Quantum Core: quantumLevels, planckConst, massDensity, tunnelThreshold Advanced Physics: enableAdvanced, tsallisQ, lyapunovDim, entropyLength Filters: useTrendFilter, trendLen, useVolFilter, atrLen, atrMultMin, atrMultMax Signals: adaptiveThresholds, signalCooldownBars, showSignals Display: showQuantumBands, showComponents, showEntropyZones, showInfoTable Lag Options: source, period, lag, lagmode, RMSP One glance clarity: A single Fusion line encapsulates momentum, state, and complexity. Regime-adaptive: Thresholds and filters tune to volatility and trend. Signal discipline: Coherence and cooldown aim to reduce false triggers. Transparent context: The info table tells you why a signal is firing, not just that it is. Notes and best practices Multi-timeframe confirmation is recommended for higher-conviction entries. The Advanced Physics layer can be CPU heavy; disable it for lightweight scanning or enable for precision. Optimize inputs per asset class and timeframe (crypto vs FX vs equities). This is an analytical tool, not financial advice. Always validate with risk management. Alerts Hybrid QLF Long: triggers on qualified long conditions Hybrid QLF Short: triggers on qualified short conditions Attribution and license Pine Script code is licensed under the Mozilla Public License 2.0. © MarketMakerIQ Quick start Add to chart and enable showInfoTable to understand live readings. Start with defaults; toggle useTrendFilter and useVolFilter to match your style. If performance allows, enable Advanced Physics and tune tsallisQ, lyapunovDim, entropyLength. Set alerts on the included conditions and forward-test across sessions.
Pine Script® göstergesi
MarketMakerlQ tarafından
Historical Data: 1H Edge NQ [Herman]Historical Data: 1H Edge NQ This Pine Script indicator is designed to provide traders with visual tools and historical statistical insights for analyzing hourly price behavior on the Nasdaq-100 futures (NQ) contract. It focuses on key concepts such as Opening Ranges (OR) and Trading Windows (TW), drawing from established trading principles like session-based ranges and return probabilities. This unique indicator stands out by incorporating pre-computed statistics derived from over 4 years of 1-minute timeframe data, offering detailed hourly probabilistic insights in an editable sticky note format—making it a distinctive tool for in-depth analysis. The goal is to help users visualize potential price dynamics and assess historical tendencies, enabling more informed decision-making based on past data patterns. All calculations are based on historical price action, and the indicator does not make predictions or generate trading signals—it simply displays pre-computed statistics and visual aids for educational and analytical purposes. Key Features and Visual ElementsVertical Lines for Time Sessions: Orange Line - Opening Range Midline (50%) Horizontal Dotted Lines - Opening Range High and Low Solid Red Line - Midnight Open Dashed Vertical lines - Opening range and trading window start/close times Blue Dashed Line - Trading Window Candle Open The indicator marks the start of the user-selected Opening Range (OR) and Trading Window (TW) with customizable vertical lines. These represent the time periods where the OR is formed (e.g., 02:00-03:00 NY time) and where trading activity is observed (e.g., 03:00-04:00 NY time). Users can adjust these sessions via inputs for flexibility across different hours. -Horizontal Lines for Price Levels:Opening Range High and Low: -Solid or dashed lines (customizable) show the high and low of the selected OR, extended horizontally to highlight potential support/resistance levels during the TW. -50% OR Midpoint: An optional dashed line at the midpoint (50%) of the OR, which serves as a reference for mean reversion analysis. -Trading Window Open Price: A line marking the open price at the start of the TW, useful for tracking returns to this level. -Midnight Open (Red Line): A dedicated red horizontal line indicating the open price at midnight (00:00 NY time), which acts as a daily reference point for overnight price action. Statistical Display via Sticky Note and Table:A customizable "Sticky Note" table displays pre-computed backtest results for the selected OR hour, including sections for combined results, above-midnight scenarios, and below-midnight scenarios. Content is user-editable via inputs. A main info table shows session details, total historical sessions, and probabilities for returns (if enabled). Customization Options: Users can toggle visuals, adjust colors, styles, widths, positions, and themes (light/dark). The indicator supports up to 500 lines/labels/boxes for historical drawing. Logic and PrincipleThe indicator operates on a per-hour basis, treating each hour (0-23 NY time) as an independent "session" for analysis:Session Definition: For any given hour (e.g., 02:00), the OR is the high/low range formed in that hour. The TW is the subsequent hour where price action is tracked. Tracking Price Action: During the TW, the script checks if price "sweeps" (crosses) the OR high or low. It then monitors for "returns"—instances where price crosses back to the TW open price or the 50% midpoint of the OR after a sweep. Statistical Calculation: Probabilities are derived from historical counts:Total sessions: Number of historical days where data was available for that hour. Return to TW Open: Percentage of sessions where, after sweeping OR high/low, price returned to the TW open (calculated as returns / total sessions with sweeps). Return to 50% OR: Similar percentage for returning to the OR midpoint. These are computed cumulatively across all historical bars loaded on the chart, resetting flags daily to ensure independence per session. No real-time predictions are made; stats accumulate from past data. Midnight Open Integration: The red line resets daily at 00:00 NY, providing context for overnight gaps or continuations. Breakout Origin: Scans recent bars for conditions where a breakout from OR occurs without opposite direction breach, drawing lines to the origin bar's open for visual reference. The core principle is rooted in range-based analysis, a common technical approach where traders observe how price interacts with session highs/lows and midpoints. By quantifying historical return rates after sweeps, the indicator highlights tendencies like mean reversion or continuation, but all insights are retrospective and depend on the loaded data. Data Source and BacktestingThe statistical data embedded in the sticky notes (e.g., return percentages, sweep rates) was generated using Python in a Jupyter Notebook environment. It analyzes approximately 1089 days (about 4 years) of 1-minute historical data for NQ futures, sourced BacktestMarket. The backtests focused on NY time sessions, calculating metrics like:Sweep rates (e.g., first sweep high after above-midpoint open). Return probabilities post-sweep. Conditional splits (above/below midnight open). These pre-computed values are hardcoded into the script via text areas for display, ensuring transparency. Note: Historical performance is not indicative of future results; this is for analytical reference only. Purpose and UsageThis indicator aims to assist traders in evaluating price direction potential by combining visual session markers with historical probabilities. For example:If historical data shows a high probability of returning to the 50% OR after a sweep, it might suggest monitoring for mean reversion.
Pine Script® göstergesi
helmans13 tarafından
Custom ORBIT — GSK-VIZAG-AP-INDIA📌 Title: Custom ORBIT (Opening Range Breakout Indicator Tool) — GSK-VIZAG-AP-INDIA 🧾 Description: "Custom ORBIT" is a powerful and flexible Opening Range Breakout Indicator Tool, developed to help traders visualize the first key range of the day and capture breakout opportunities with clarity. Designed especially for intraday traders, this tool plots the high and low of the first X minutes of the market and tracks breakouts with visual cues and style customization. 🎯 Key Features: 🔹 Opening Range High/Low Detection Automatically calculates the high and low of the first n minutes of the session (default: 15 minutes from 9:15 AM). 🔹 Customization Line Styles Choose from: Dotted Dashed Solid Smoothed (soft color) to match your chart theme and preference. 🔹 Breakout Alerts (Optional) Detect and highlight price breakouts above the opening high or breakdowns below the opening low using directional triangle markers. 🔹 Session-Aware Visualization Lines are plotted fresh for each day and extend only until the user-defined session end time (default: 3:30 PM IST). ⚙️ Inputs: Market Start Hour & Minute: Default is 9:15 AM (Indian market open). Opening Range Duration: Customization (default: 15 minutes). Session End Time: Set your active trading session (default: 3:30 PM). Show Breakout Arrows: Toggle on/off the visual breakout alerts. Line Style: Choose how the Opening Range lines are displayed. 📌 Use Case: This tool is ideal for: Intraday traders following Opening Range Breakout strategies. Traders who rely on the initial price action to define bias. Chartists who need clear and customization support/resistance zones for early trend identification. ⚠️ Disclaimer: This indicator is created for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis or consult a professional before making trading decisions. 🧠 Developed by: GSK-VIZAG-AP-INDIA Empowering traders with precision tools and visual clarity.
Pine Script® göstergesi
prowelltraders tarafından
CCI Turbo Pro [CongTrader]📄 Full Description for Publishing — CCI Turbo Pro ⚡️ CCI Turbo Pro — Advanced CCI with Reversal Zones & Alerts This advanced CCI (Commodity Channel Index) indicator is built for traders who want enhanced reversal signals, customizable extreme zones, and dynamic alerts. It improves the classic CCI with better visual cues and momentum filtering to help you avoid false signals. 🛠️ How to Use: CCI Length (default = 20): Adjust based on your trading timeframe. Overbought/Oversold Zones: Overbought = 200 Oversold = -200 Extreme OB = 300 (red zone) Extreme OS = -300 (green zone) When the CCI crosses from below −200 → BUY signal When the CCI crosses from above +200 → SELL signal Background turns green/red in extreme zones Optional labels show entry signals clearly This indicator is useful for: Reversal Trading Momentum Shifts Scalping, Swing, or Intraday strategies Overbought/Oversold Confirmation Works on: Any asset (Crypto, Forex, Stocks, Indices) Any timeframe 🔔 Alerts Included: 📈 CCI Buy Alert → CCI crossed up from oversold 📉 CCI Sell Alert → CCI crossed down from overbought 🚨 Extreme OB/OS Alert → CCI enters extreme reversal zone Alerts help you stay informed even when away from the screen. 🔎 Keywords (for search discovery): CCI, CCI Reversal, CCI Alert, Turbo CCI, Advanced CCI, CCI Zones, CCI Overbought, CCI Oversold, Momentum Reversal, CCI Scalping, CongTrader, CCI Buy Sell, Technical Indicator 🙏 Thank You If this indicator adds value to your trading, please give it a 👍, leave a comment, or follow for more free tools from CongTrader. Your support helps independent creators grow the community. ⚠️ Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Use this tool with your own judgment and risk management. Past performance does not guarantee future results. ✍️ Created by CongTrader — Free, Open-Source Tools for Smarter Traders...
Pine Script® göstergesi
CongTrader_ tarafından
Z-Score Mean ReversionThe "Mean Reversion Z-Score" indicator is a statistical tool that helps traders identify potential price reversals by measuring how far the current price has deviated from its mean (average) in terms of standard deviations. Here's what it does: Calculates the Z-score by comparing the current price to its moving average, then dividing by the standard deviation of prices over a specified period (default 14 periods). Identifies when the price has moved too far from its mean, suggesting a potential reversion opportunity: Values above +2 indicate overbought conditions (potential sell) Values below -2 indicate oversold conditions (potential buy) Generates clear visual signals: Green triangle (▲) for buy signals when crossing above -2 Red triangle (▼) for sell signals when crossing below +2 Color-coded background for quick visual reference Plots reference lines at ±1.5 and ±2.0 standard deviations to help gauge the strength of the current trend. This indicator is particularly useful for range-bound markets and mean reversion trading strategies, helping traders spot potential entry and exit points based on statistical extremes.
Pine Script® göstergesi
hasanaksoy199264 tarafından
Square-root Decay Volume ProfileThis indicator displays a custom price profile that mimics a volume profile using occurrence-based weighting rather than actual volume. It counts how often the selected price source (e.g., close) falls within each price bin over a lookback period. What makes it unique is the use of square-root time decay: more recent price occurrences are given greater importance, while older data is discounted proportionally to the inverse square root of its age. Each bin's relative weight is visualized as a horizontal bar aligned to the right edge of the chart, showing where price has "spent time" more recently. This allows traders to identify areas of interest, balance zones, and potential support/resistance levels based on decayed price density. Key Features: Square-root decay weighting favors recent price action Adjustable lookback period, bin count, and histogram width Works with any price source (close, hl2, etc.) Plots boxes directly on the chart for clear visualization This tool is especially useful for discretionary traders seeking a price-centric alternative to traditional volume profiles, with an added emphasis on recency.
Pine Script® göstergesi
Tradenometry tarafından
Linear Mean Reversion Strategy📘 Strategy Introduction: Linear Mean Reversion with Fixed Stop This strategy implements a simple yet powerful mean reversion model that assumes price tends to oscillate around a dynamic average over time. It identifies statistically significant deviations from the moving average using a z-score, and enters trades expecting a return to the mean. 🧠 Core Logic: A z-score is calculated by comparing the current price to its moving average, normalized by standard deviation, over a user-defined half-life window. Trades are entered when the z-score crosses a threshold (e.g., ±1), signaling overbought or oversold conditions. The strategy exits positions either when price reverts back near the mean (z-score close to 0), or if a fixed stop loss of 100 points is hit, whichever comes first. ⚙️ Key Features: Dynamic mean and volatility estimation using moving average and standard deviation Configurable z-score thresholds for entry and exit Position size scaling based on z-score magnitude Fixed stop loss to control risk and avoid prolonged drawdowns 🧪 Use Case: Ideal for range-bound markets or assets that exhibit stationary behavior around a mean, this strategy is especially useful on assets with mean-reverting characteristics like currency pairs, ETFs, or large-cap stocks. It is best suited for traders looking for short-term reversions rather than long-term trends.
Pine Script® stratejisi
XiaoboFu tarafından
Time Based Model (TDM)This indicator is based on TDM's Time-Based Model, designed primarily for trading indices during the New York session. The Time-Based Model follows the DC framework with some key adjustments: It focuses on the New York session time, specifically from 14:00 to 14:00 EST. The model pulls time Fibonacci levels between these 14:00-to-14:00 periods to identify potential market turning points. Additionally, it applies the time Fibonacci retracement again on the last two segments to refine timing analysis. This approach helps traders anticipate when price action is more likely to react, based on time cycles rather than just price levels, improving timing precision within the NY session.
Pine Script® göstergesi
Fractal_form tarafından
Chaos Theory : Expansion Analysis Uncovering Probable Price PathWhat is Chaos Theory? Chaos theory is the study of complex systems that appear random but actually follow deterministic mathematical laws. Discovered by meteorologist Edward Lorenz in the 1960s, it revealed that seemingly chaotic behavior often hides precise mathematical patterns. Key Concepts: The Butterfly Effect The famous principle that tiny changes in initial conditions can lead to vastly different outcomes. In markets, this means a small price movement at a critical juncture can cascade into major trend changes. Named after Lorenz's discovery that a butterfly flapping its wings in Brazil could theoretically cause a tornado in Texas. Sensitive Dependence on Initial Conditions Chaotic systems are extremely sensitive to their starting state. While we cannot predict exact long-term outcomes, we can identify probability zones where the system is likely to evolve. This is why weather forecasts work for days, not months - and why our indicator predicts price destinations, not timing. Strange Attractors In chaos theory, systems tend to evolve toward certain states called attractors. Price doesn't move randomly - it's drawn toward these mathematical attractors that we identify as probability zones. Fractals and Self-Similarity Chaotic systems display similar patterns at different scales. This is why price charts look similar whether viewing 1-minute or daily timeframes - the same mathematical forces operate across all time scales. Deterministic Chaos The paradox at the heart of chaos theory: systems that are completely deterministic (following precise mathematical rules) can produce behavior that appears random. Markets aren't random - they're chaotic, which means they're predictable within probability bounds. Why This Matters for Trading Traditional technical analysis assumes markets are either random (efficient market hypothesis) or follow simple patterns (support/resistance). Chaos theory reveals a third truth: markets are complex dynamical systems that follow mathematical laws we can model and predict - not with certainty, but with probability. This is the foundation of our indicator: applying the same mathematics that predicts weather patterns and planetary orbits to identify where price is mathematically likely to travel next. 🌟 Welcome to the World of Chaos Theory We hope to provide our clients with a program that will define future points to which we believe price will expand to, based on a given probability % of one event occurring rather than another. In this case, the other event = price not expanding to our predicted area and reaching an invalidation state. This entire theory and the work done assumes that price behaves like a complex dynamical system that is highly sensitive to initial conditions. 🔮 Predictive vs. Reactive Systems Pay special attention to the language used. Our belief is that we can provide you a tool that is predictive, not reactive - the latter of which falls into the class of descriptive systems. Although the term of price action study is referred to as time-series forecasting, most if not all of the works done under this umbrella do not forecast anything. They only describe the current or recent past state of affairs using averages, volume, volatility, and other concepts. 📊 Understanding Probability-Based Prediction A predictive system conjured from the world of chaos theory is not a final solution to the mystery of price. In reality, we only can give you probabilities of where price may end up - this would be a point in space, not time, which we believe would be more likely than another, depending on the analysis of the initial conditions. To make the point of the last paragraph crystal clear: while we can tell you, with respect to the probabilities, where price will end up in terms of a price point, we don't know WHEN. That is another part of the mystery that perhaps only clairvoyance can hope to uncover. 📈 Performance Statistics For the question of what the probabilities are, meaning the success of the follow through of price, the answer is given in a stats panel, which measures the success of promises made by the indicator - that price would reach a certain point before being invalidated by moving too far in the opposing direction. It's not helpful to advertise or make false claims, therefore one should take advantage that we offer a free version, and using a pre-defined lookback window, confirm the probability calculations and determine the follow through rate with respect to the specific symbol and timeframe that the user decides to use. ⚠️ What This Is Not What this is not → Descriptive. We have zero interest in describing what price is doing. In fact, the entire industry of price forecasting is dedicated to this task, therefore you can rest assured that any coincidence with an RSI or any type of moving average etc. is simply that - coincidence. We do not use any known pre-made indicators or formulas. It has been our belief that price has an underlying mathematical pattern that can be predicted within probability bounds. If you read that carefully, we are predicting the pattern, not looking to find and describe some sort of underlying structure. 🧩 Understanding Market Complexity It should be understood that price is a complex system, even if our initial assessment of the conditions are correct. We have to remember that price is a fractal structure - there are always different initial conditions clashing, as well as forming. This is without taking into account the manipulation of the system, as well as external intervention in the natural progression of the system by news or other significant events. --- 📋 To Summarize: 🔬 1. Chaos Theory Application to Markets - Novel Concept: Treating price as a chaotic particle rather than random movement - What This Means: Chaotic systems have underlying mathematical patterns that can be predicted within probability bounds - Your Benefit: Access to predictive mathematics previously used only in physics and meteorology 🧮 2. Complex Systems Mathematics - Novel Concept: Applying non-linear dynamical systems theory to financial markets - What This Means: Markets behave like complex adaptive systems with emergent properties - Your Benefit: Understanding market behavior at a fundamental mathematical level 🎯 3. Probability Field Mapping - Novel Concept: Creating mathematical probability fields for future price locations - What This Means: Each zone represents a calculated probability destination, not arbitrary support/resistance - Your Benefit: Trade toward mathematically-derived targets instead of guessing --- 💡 Why This is Fundamentally Different from All Other Indicators 📉 Traditional Indicators: - Use historical price data to create lagging signals - Based on statistical averages and linear mathematics - Assume markets are random or follow simple patterns - React to what already happened 🚀 This Chaos Theory Approach: - Uses mathematical modeling to predict future probability zones - Based on non-linear complex systems mathematics - Treats markets as chaotic but predictable systems - Proactively identifies where price is likely to go No Curve Fitting: Unlike indicators optimized for specific timeframes or instruments, chaos theory principles are universal mathematical laws that apply consistently across all markets. --- 🎁 Concrete Benefits You Receive 💫 1. Predictive Intelligence - Know probable price destinations before they're reached - Eliminate guesswork in setting profit targets - Make informed decisions about trade direction 🎯 2. Mathematical Precision - Every zone placement has mathematical justification - No subjective interpretation required - Consistent application across all market conditions 🌍 3. Universal Market Application - Works identically on forex, stocks, crypto, commodities - No need to adjust parameters for different instruments - Mathematical principles transcend market types 🏆 4. Professional-Grade Analysis - Access to institutional-level mathematical modeling - Same complexity as quantitative hedge fund systems - Simplified visual output for practical trading ✅ 5. Real-Time Performance Validation - Built-in statistics track actual prediction accuracy - Transparent performance measurement - Data-driven confidence in signal quality 🛡️ 6. Risk Management Precision - Mathematically-defined probable targets of desired and undesired price locations - Systematic approach eliminates emotional decisions ⏱️ 7. Multi-Timeframe Consistency - Zones maintain mathematical validity across timeframes - Higher timeframe bias with lower timeframe precision - Coherent analysis from scalping to position trading --- 🌟 Novel Trading Advantages Probability-Based Targeting: Instead of hoping price reaches your target, you're trading toward mathematically-calculated probability zones. Chaos Pattern Recognition: Probability-based predictions of the underlying chaotic patterns that govern price movement gives you an edge other traders don't possess. Dynamic Adaptation: Unlike static indicators, this system continuously recalculates based on evolving market mathematics. --- 🔄 Why This Represents a Trading Evolution From Reactive to Predictive: Traditional analysis tells you what happened. Chaos theory mathematics tells you what's likely to happen. From Subjective to Objective: No more debating support and resistance levels. Mathematics determines probable price destinations. From Curve-Fitted to Universal: Based on fundamental mathematical principles that work consistently across all markets and timeframes. From Emotional to Systematic: Clear mathematical signals eliminate the psychological challenges that destroy most traders. This indicator doesn't just give you another way to analyze markets - it gives you access to an entirely different mathematical framework for understanding price behavior. You're not getting a variation of existing concepts; you're getting a completely novel approach based on advanced mathematical principles that treat markets as the complex systems they actually are. --- 📚 How to Use the Indicator 🎨 Zone Mechanics • Orange Zones: Target areas for price expansion • Activation Trigger: Price must close outside any zone (full candle body, not just wicks) • Primary Rule: Price travels to the next zone before closing back behind the originating zone border 🔴 Understanding the Red Dots • Red dots on chart: Represent areas where we had valid zone sets available for trading • Empty spaces indicate: Areas where price closed past the highest/lowest zone or where zone invalidation occurred • Important note: We cannot always identify zones. Simply wait or switch timeframe/symbol
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