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RSI-Adaptive T3 [ChartPrime]The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson , designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations. To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market. HOIW IT WORKS At its core, this indicator fuses two ideas: The T3 Moving Average — a 6-stage recursively smoothed exponential average created by Tim Tillson , designed to reduce lag without sacrificing smoothness. It uses a volume factor to control curvature. A Dynamic Length Engine — powered by the RSI. When RSI is low (market oversold), the T3 becomes shorter and more reactive. When RSI is high (overbought), the T3 becomes longer and smoother. This creates a feedback loop between price momentum and trend sensitivity. // Step 1: Adaptive length via RSI rsi = ta.rsi(src, rsiLen) rsi_scale = 1 - rsi / 100 len = math.round(minLen + (maxLen - minLen) * rsi_scale) pine_ema(src, length) => alpha = 2 / (length + 1) sum = 0.0 sum := na(sum ) ? src : alpha * src + (1 - alpha) * nz(sum ) sum // Step 2: T3 with adaptive length e1 = pine_ema(src, len) e2 = pine_ema(e1, len) e3 = pine_ema(e2, len) e4 = pine_ema(e3, len) e5 = pine_ema(e4, len) e6 = pine_ema(e5, len) c1 = -v * v * v c2 = 3 * v * v + 3 * v * v * v c3 = -6 * v * v - 3 * v - 3 * v * v * v c4 = 1 + 3 * v + v * v * v + 3 * v * v t3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 The result: an evolving trend line that adapts to market tempo in real-time. KEY FEATURES ⯁ RSI-Based Adaptive Smoothing The length of the T3 calculation dynamically adjusts between a Min Length and Max Length , based on the current RSI. When RSI is low → the T3 shortens, tracking reversals faster. When RSI is high → the T3 stretches, filtering out noise during euphoria phases. Displayed length is shown in a floating table, colored on a gradient between min/max values. ⯁ T3 Calculation (Tim Tillson Method) The script uses a 6-stage EMA cascade with a customizable Volume Factor (v) , as designed by Tillson (1998) . Formula: T3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3 This technique gives smoother yet faster curves than EMAs or DEMA/Triple EMA. ⯁ Visual Trend Direction & Transitions The T3 line changes color dynamically: Color Up (default: blue) → bullish curvature Color Down (default: orange) → bearish curvature Plot fill between T3 and delayed T3 creates a gradient ribbon to show momentum expansion/contraction. Directional shift markers (“🞛”) are plotted when T3 crosses its own delayed value — helping traders spot trend flips or pullback entries. ⯁ Adaptive Volatility Bands Optional upper/lower bands are plotted around the T3 line using a user-defined volatility window (default: 100). Bands widen when volatility rises, and contract during compression — similar to Bollinger logic but centered on the adaptive T3. Shaded band zones help frame breakout setups or mean-reversion zones. ⯁ Dynamic Info Table A live stats panel shows: Current adaptive length Maximum smoothing (▲ MaxLen) Minimum smoothing (▼ MinLen) All values update in real time and are color-coded to match trend direction. HOW TO USE Use T3 crossovers to detect trend transitions, especially during periods of volatility compression. Watch for volatility contraction in the bands — breakouts from narrow band periods often precede trend bursts. The adaptive smoothing length can also be used to assess current market tempo — tighter = faster; wider = slower. CONCLUSION RSI-Adaptive T3 modernizes one of the most elegant smoothing algorithms in technical analysis with intelligent RSI responsiveness and built-in volatility bands. It gives traders a cleaner read on trend health, directional shifts, and expansion dynamics — all in a visually efficient package. Perfect for scalpers, swing traders, and algorithmic modelers alike, it delivers advanced logic in a plug-and-play format.
Pine Script® göstergesi
ChartPrime tarafından
6
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.
Pine Script® göstergesi
onurag tarafından
1
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.
Pine Script® göstergesi
TheUltimator5 tarafından
6
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.
Pine Script® göstergesi
Zeiierman tarafından
4
Consolidation Range with Signals (Zeiierman)█ Overview Consolidation Range with Signals (Zeiierman) is a precision tool for identifying and trading market consolidation zones, where price contracts into tight ranges before significant movement. It provides dynamic range detection using either ADX-based trend strength or volatility compression metrics, and offers built-in take profit and stop loss signals based on breakout dynamics. Whether you trade breakouts, range reversals, or trend continuation setups, this indicator visualizes the balance between supply and demand with clearly defined mid-bands, breakout zones, and momentum-sensitive TP/SL placements. █ How It Works ⚪ Multi-Method Range Detection ADX Mode Uses the Average Directional Index (ADX) to detect low-trend-strength environments. When ADX is below your selected threshold, price is considered to be in consolidation. Volatility Mode This mode detects consolidation by identifying periods of volatility compression. It evaluates whether the following metrics are simultaneously below their respective historical rolling averages: Standard Deviation Variance Average True Range (ATR) ⚪ Dynamic Range Band System Once a range is confirmed, the system builds a dynamic band structure using a volatility-based filter and price-jump logic: Middle Line (Trend Filter): Reacts to price imbalance using adaptive jump logic. Upper & Lower Bands: Calculated by expanding from the middle line using a configurable multiplier. This creates a clean, visual box that reflects current consolidation conditions and adapts as price fluctuates within or escapes the zone. ⚪ SL/TP Signal Engine On detection of a breakout from the range, the indicator generates up to 3 Take Profit levels and one Stop Loss, based on the breakout direction: All TP/SL levels are calculated using the filtered base range and multipliers. Cooldown logic ensures signals are not spammed bar-to-bar. Entries are visualized with colored lines and labeled levels. This feature is ideal for traders who want automated risk and reward reference points for range breakout plays. █ How to Use ⚪ Breakout Traders Use the SL/TP signals when the price breaks above or below the range bands, especially after extended sideways movement. You can customize how far TP1, TP2, and TP3 sit from the entry using your own risk/reward profile. ⚪ Mean Reversion Traders Use the bands to locate high-probability reversion zones. These serve as reference zones for scalping or fade entries within stable consolidation phases. █ Settings Range Detection Method – Choose between ADX or Volatility compression to define range criteria. Range Period – Determines how many bars are used to compute trend/volatility. Range Multiplier – Scales the width of the consolidation zone. SL/TP System – Optional levels that project TP1/TP2/TP3 and SL from the base price using multipliers. Cooldown – Prevents repeated SL/TP signals from triggering too frequently. ADX Threshold & Smoothing – Adjusts sensitivity of trend strength detection. StdDev / Variance / ATR Multipliers – Fine-tune compression detection logic. ----------------- 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.
Pine Script® göstergesi
Zeiierman tarafından
5
abusuhil bullish breakAbusuhil Bullish Break is a price action-based confirmation tool that identifies a bullish reversal pattern consisting of: Two consecutive bearish candles followed by A strong bullish candle that closes above the high of both. The script includes: Optional dual MACD filter (current timeframe + higher timeframe) Configurable stop-loss and multiple take-profit levels Visual lines for targets and stop Custom styling for all elements It’s a clean, logic-driven entry confirmation tool for intraday and swing trading. ⚠️ Open-source and fully customizable. مؤشر Abusuhil Bullish Break هو أداة تأكيد لانعكاسات الاتجاه الصاعد بناءً على حركة السعر (Price Action)، ويكتشف نموذجًا يتكون من: شمعتين هابطتين متتاليتين تتبعهما شمعة صاعدة قوية تغلق فوق أعلى الشمعتين السابقتين يحتوي المؤشر على: فلتر MACD مزدوج اختياري (للفريم الحالي وفريم أعلى) إعدادات مخصصة للوقف والأهداف المتعددة خطوط مرئية احترافية للأهداف والوقف تحكم كامل في الألوان والنمط والعرض مناسب للتداول اللحظي والسوينج. ✅ مفتوح المصدر وقابل للتعديل بالكامل.
Pine Script® göstergesi
abusuhil tarafından
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.
Pine Script® göstergesi
Shivam_Mandrai tarafından
Directional Strength IndexThis indicator is designed to detect the dominant market direction and quantify its strength by aggregating signals across six key timeframes: 1H, 4H, 1D, 3D, 1W, and 1M. At its core, it uses a SMEMA 'the Simple Moving Average of an EMA' as the main trend reference. This hybrid smoothing method was chosen for its balance: the EMA ensures responsiveness to recent price moves, while the SMA dampens short-term volatility. This makes the SMEMA more stable than a raw EMA and more reactive than a simple SMA, especially in noisy or volatile environments. For each timeframe, a score between -10 and +10 is calculated. This score reflects: - the distance of the price from the SMEMA, using ATR as a dynamic threshold - the number of price deviations above or below the SMEMA - the slope of the SMEMA, which adjusts the score based on momentum These six timeframe scores are then combined into a single Global Score, using weighted averages. Three weighting profiles are available depending on your trading horizon: - Long Term: emphasizes weekly and monthly data - Swing Trading: gives balanced importance to all timeframes - Short Term: prioritizes 1H and 4H action This multi-timeframe aggregation makes the indicator adaptable to different styles while maintaining a consistent logic. The result is displayed in a table on the chart, showing: - the trend direction per timeframe (up, down or neutral) - the strength score per timeframe - the overall trend direction and strength based on the selected profile Optional deviation bands based on ATR multiples are also plotted to provide visual context for overextensions relative to the SMEMA. This indicator is non-repainting and built for objective, trend-based decision making.
Pine Script® göstergesi
Julien_Eche tarafından
TrendMaster Pro 2.3 with Alerts Hello friends, A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system: Core Strategy Components Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones Advanced Signal Filtering Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold Session-Based Trading Management Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00) Individual Session Limits - Separate maximum trade counts for each session (default 5 per session) Automatic Session Closure - All positions close at specified market close time Risk Management Features Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2) Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range) Daily Limits - Stop trading after reaching specified TP or SL counts per day Support & Resistance System Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels Historical Levels - Configurable number of past S/R levels to display Visual Customization - Individual color and display settings for each S/R level Additional Features Alert System - Customizable buy/sell alert messages with once-per-bar frequency Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas Session Highlighting - Optional background colors for different trading sessions Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions. Good luck and stay safe! Join TradingView and get $15 towards any subscription!
Pine Script® stratejisi
everget tarafından
6
Regression Channel (Interactive)Weighted Interactive Regression Channel (WIRC) Overview The Weighted Interactive Regression Channel improves on traditional regression channels by emphasizing key price points through intelligent weighting. Instead of treating all candles equally, WIRC adapts to market dynamics for better trend detection and channel accuracy. Key Differences from Standard Channels Weighted vs. Equal: Prioritizes significant events over uniform weighting Dynamic vs. Static: Adapts in real time to market changes Accurate vs. Basic: Reduces noise, enhances signal clarity Customizable vs. Fixed: Full control over weights and visuals Weighting Methods Direction Change – Highlights reversal points via local peaks/troughs Volume-Based – Emphasizes high-volume candles, ideal for breakouts Price Range – Weights wide-range candles to capture volatility Time Decay – Prioritizes recent data for current market relevance Interactive Features Data Range: Set channel start/end over 1–500 bars Visuals: Line styles, color coding, fill options, reference lines Stats: Slope, R², standard deviation, point count, weight method Technical Implementation Weighted Regression Formula: Uses weights for slope, intercept, and deviation Channel Lines: Center = weighted regression; bounds = ± deviation × multiplier Usage Scenarios Trend Analysis: Use Direction Change + longer range Breakouts: Use Volume weighting + fill + boundary watching Volatility: Apply Price Range weighting + monitor standard deviation Current Market: Use Time Decay + shorter ranges + stat display Parameter Tips Channel Width: Narrow (1.0–1.5): Responsive Standard (1.5–2.0): Balanced Wide (2.0–3.0+): Conservative Weighting Intensity: Conservative (1.5–2.0) Moderate (2.0–3.0) Aggressive (3.0+) Advanced Use Multi-Timeframe: Use different weightings per timeframe Market Structure: Detect swings, institutional zones Risk Management: Dynamic S/R levels, volatility-driven sizing Best Practices Start with Direction Change Test different ranges Monitor stats Combine with other indicators Adjust to market context Recalibrate regularly Conclusion WIRC delivers a smarter, more adaptive view of price action than standard regression tools. With real-time customization and multiple weighting options, it’s ideal for traders seeking precision across strategies—trend tracking, breakout confirmation, or volatility insight.
Pine Script® göstergesi
ikendler tarafından
1
NDOG & NWOG Indicatorndicator automatically identifies and displays New Day Opening Gaps (NDOG) and New Week Opening Gaps (NWOG) directly on your chart. It focuses on gaps based on specific session times in the New York (NY) timezone. Key Features: NDOG: Identifies the gap between the NY 4:59 PM (daily close) and the NY 6:00 PM (daily open). NWOG: Identifies the gap between the Friday NY 4:59 PM (weekly close) and the Sunday NY 6:00 PM (weekly open). Draws customizable lines for the high and low levels of each gap. Option to show an additional mid-level line for each gap. Includes options for line colors, styles, and width. Allows filtering gaps by a minimum size. Control the maximum number of recent NDOGs and NWOGs displayed. Optionally shows text labels on the lines and a summary table on the chart. This tool can help traders visualize potential areas of interest related to these specific opening gaps. Note: Calculations are based on the "America/New_York" timezone. Disclaimer: Trading involves risk and may not be suitable for all investors. This indicator is provided for informational and educational purposes only and does not constitute financial advice or a recommendation to trade. Use at your own risk.
Pine Script® göstergesi
Turkish_Trader_ tarafından
DECODE Global Liquidity IndexDECODE Global Liquidity Index 🌊 The DECODE Global Liquidity Index is a powerful tool designed to track and aggregate global liquidity by combining data from the world's 13 largest economies. It offers a comprehensive view of financial liquidity, providing crucial insights into the underlying currents that can influence asset prices and market trends. The economies covered are: United States, China, European Union, Japan, India, United Kingdom, Brazil, Canada, Russia, South Korea, Australia, Mexico, and Indonesia. The European Union accounts for major individual economies within the EU like Germany, France, Italy, Spain, Netherlands, Poland, etc. Key Features: 1. Customizable Liquidity Sources Include Global M2: You can opt to include the M2 money supply from the 13 listed economies. M2 is a broad measure of money supply that includes cash, checking deposits, savings deposits, money market securities, mutual funds, and other time deposits. (Note: Australia uses M3 as its primary measure, which is included when M2 is selected for Australia). Include Central Bank Balance Sheets (CBBS): Alternatively, or in addition, you can include the total assets held by the central banks of these economies. Central bank balance sheets expand or contract based on monetary policy operations like quantitative easing (QE) or tightening (QT). Combined View: If you select both M2 and CBBS, and data is available for both, the indicator will display an average of the two aggregated values. If only one source type is selected, or if data for one type is unavailable despite both being selected, the indicator will display the single available and selected component. This provides flexibility in how you define and analyze global liquidity. 2. Lead/Lag Analysis (Forward Projection): Lead Offset (Days): This feature allows you to project the liquidity index forward by a specified number of days. Why it's useful: Global liquidity changes can often be a leading indicator for various asset classes, particularly those sensitive to risk appetite, like Bitcoin or growth stocks. These assets might lag shifts in liquidity. By applying a lead (e.g., 90 days), you can shift the liquidity data forward on your chart to more easily visualize potential correlations and identify if current asset price movements might be responding to past changes in liquidity. 3. Rate of Change (RoC) Oscillator: Year-over-Year % View: Instead of viewing aggregate liquidity, you can switch to a Year-over-Year (YoY%) Rate of Change (ROC) oscillator. Why it's useful: Momentum Identification: The ROC highlights the speed and direction of liquidity changes. Positive values indicate liquidity is increasing compared to a year ago, while negative values show it's decreasing. Turning Points: Oscillators make it easier to spot potential accelerations, decelerations, or reversals in liquidity trends. A cross above the zero line can signal strengthening liquidity momentum, while a cross below can signal weakening momentum. Cycle Analysis: It helps in assessing the cyclical nature of liquidity provision and its potential impact on market cycles. This indicator aims to provide a clear, customizable, and insightful measure of global liquidity to aid traders and investors in their market analysis.
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decodejar tarafından
1
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.
Pine Script® stratejisi
The_Forex_Steward tarafından
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.
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PhenLabs tarafından
COT-Index-NocTradingCOT Index Indicator The COT Index Indicator is a powerful tool designed to visualize the Commitment of Traders (COT) data and offer insights into market sentiment. The COT Index is a measurement of the relative positioning of commercial traders versus non-commercial and retail traders in the futures market. It is widely used to identify potential market reversals by observing the extremes in trader positioning. Customizable Timeframe: The indicator allows you to choose a custom time interval (in months) to visualize the COT data, making it flexible to fit different trading styles and strategies. How to Use: Visualize Market Sentiment: A COT Index near extremes (close to 0 or 100) can indicate potential turning points in the market, as it reflects extreme positioning of different market participant groups. Adjust the Time Interval: The ability to adjust the time interval (in months) gives traders the flexibility to analyze the market over different periods, which can be useful in detecting longer-term trends or short-term shifts in sentiment. Combine with Other Indicators: To enhance your analysis, combine the COT Index with your technical analysis. This tool can serve as an invaluable addition to your trading strategy, providing a deeper understanding of the market dynamics and the positioning of major market participants.
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NocTrading tarafından
Candle Count RSI📈 Candle Count RSI — A Dual-Perspective Momentum Engine The Candle Count RSI is a custom-built momentum oscillator that expands on the classic Relative Strength Index (RSI) by introducing a directional-only variant that tracks the frequency of bullish or bearish closes, rather than price magnitude. It gives traders a second lens through which to evaluate momentum, trend conviction, and subtle divergences—often invisible to traditional price-based RSI. 💡 What Makes It Unique? While the standard RSI is sensitive to the size of price changes, the Candle Count RSI is magnitude-blind. It counts candle closes above/below open over a lookback period, generating a purer signal of directional consistency. To enhance signal fidelity, it includes a streak amplifier, dynamically weighting extended runs of green or red candles to reflect intensity of market bias—without introducing artificial price sensitivity. This dual-RSI approach allows for: - Divergence detection between directional bias and price magnitude. - Smoother trend confirmation in choppy markets. - Cleaner visual cues using dynamic glow and background logic. 📐 How Standard RSI Actually Works (Not What You Think) RSI doesn’t just check if price went up or down over a span—it checks each individual candle and tracks whether it closed higher or lower than the one before. Here's how it works under the hood: 1.) For each bar, it calculates the change from the previous close. 2.) It separates those changes into gains (upward moves) and losses (downward moves). 3.) Then it computes a smoothed average of those gains and losses (usually using an RMA). 4.) It calculates the Relative Strength (RS) as: RS = AvgGain / AvgLoss 5.) Finally, it plugs that into the RSI formula: RSI = 100 - (100 / (1 + RS)) ⚖️ What Does the 50 Line Mean? - The RSI scale runs from 0 to 100, but 50 is the true neutral zone: - RSI > 50 means average gains outweigh average losses over the period. - RSI < 50 means losses dominate. - RSI ≈ 50? The market is balanced—momentum is indecisive, no clear trend bias. - This makes 50 a powerful midline for trend filters, directional bias tools, and divergence detection—especially when paired with alternative RSI logic like Candle Count RSI. 🔧 Inputs and Customization - Everything is fully modular and customizable: 🧠 Core Settings - RSI Length: Used for both the standard RSI and Candle Count RSI. 📉 Standard RSI - Classic RSI calculation based on price changes. - Optional WMA smoothing to reduce noise. - Glow effect toggle with custom intensity. 🕯 Candle Count RSI - Computes RSI using only the count of up/down candles. - Optional smoothing for stability. - Amplifies streaks (e.g., multiple consecutive bullish candles increase strength). - Glow effect toggle with adjustable strength. 🎇 Glow Visuals - Background glow (subpane and/or main chart). - Fades based on RSI distance from the 50 midpoint. - Independent color settings for bull and bear bias. 🧬 Divergence Zones - Detects when Candle RSI and Standard RSI diverge. - Highlights: - Bullish Divergence: Candle RSI > 50, Standard RSI < threshold. - Bearish Divergence: Candle RSI < 50, Standard RSI > threshold. - Background fill optionally shown in subpane and/or main chart. 📊 Directional Histogram - MACD-style histogram showing the difference between the two RSI lines. - Color-coded based on directional agreement: - Both rising → green. - Both falling → red. - Conflict → yellow. 🧠 Under the Hood — How It Works 🔹 Standard RSI - Classic ta.rsi() applied to close prices, optionally WMA-smoothed. 🔹 Candle Count RSI (CCR) - Counts how many candles closed up/down over the period. - Computes a magnitude-free RSI from these counts. - Applies a streak-based multiplier to exaggerate trend strength during consecutive green/red runs. - Optionally smoothed with WMA to create a clean signal line. - This makes CCR ideal for detecting true directional bias without being faked out by volatile price spikes. 🔹 Divergence Logic - When Candle RSI and Standard RSI disagree strongly across defined thresholds, background fills highlight early signs of momentum decay or hidden accumulation/distribution. 🔹 Glow Logic - Glow zones are controlled by a master toggle and drawn with dynamic transparency: - Further from 50 = stronger conviction = darker glow. - Shows up in subpane and/or main chart depending on user preference. 📷 Suggested Use Case / Visual Setup - Use in conjunction with your primary price action system. - Watch for divergences between the Candle Count RSI and Standard RSI for early trend reversals. - Use glow bias zones on the main chart to get subconscious directional cues during fast scalping. - Histogram helps you confirm when both RSI variants agree—useful during strong trending conditions. 🛠️ Tip for Traders - This tool isn’t trying to “predict” price. It’s designed to visualize hidden market psychology—when buyers are showing up with consistent pressure, or when momentum has a disconnect between conviction and magnitude. Use this to filter entries, spot weak rallies, or sense when a trend is about to break down. ⚠️ WARNING - Not for use with Heikin Ashi, Renko, etc.). 🧠 Summary Candle Count RSI is not just another mashup—it's a precision-built, dual-perspective oscillator that captures directional conviction using real candle behavior. Whether you're scalping intraday or swing trading momentum, this script helps clarify trend integrity and exposes hidden weaknesses with elegance and clarity. — 🛠️ Built by: Sherlock_MacGyver Feel free to share feedback or reach out if you'd like to collaborate on custom features.
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Sherlock_MacGyver tarafından
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.
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hazedoptions tarafından