Mulai

Analisis Tren

TPC-Buying and Selling areasTPC - Buying and Selling Areas Open-source multi-timeframe indicator that automatically detects and displays Supply (resistance) and Demand (support) zones based on swing structure, along with Fair Value Gaps (FVGs) for imbalance visualization. Supports up to two higher timeframes (MTF) for Supply/Demand + optional current-chart or custom timeframe FVGs, with mitigation tracking, alerts, and a dashboard for FVG stats. Overview This tool helps identify key price areas where institutional buying/selling pressure may have accumulated (Supply/Demand zones) and inefficiencies/imbalances in price delivery (Fair Value Gaps). It plots: •Demand zones (potential support/buy areas) in green tones •Supply zones (potential resistance/sell areas) in red tones •Bullish/Bearish FVGs as filled or line areas (with dynamic or fixed extension options) •A simple FVG dashboard showing count and mitigation percentage Zones mitigate (disappear or mark as filled) when price closes/wicks through them. Designed for clean charts with configurable visibility, box pooling, and alerts on new zones or FVG events. How It Works (Conceptual) •Supply & Demand Zones •Uses pivot-based swing highs/lows from one or two user-selectable higher timeframes (or chart timeframe). •Detects structure breaks (e.g., higher highs/lows, lower highs/lows) near recent ATR range to form zones. •Zones drawn as extendable boxes with timeframe label, customizable borders/text. •Mitigation: Zones removed or marked when price breaches them (close or extreme/wick, configurable globally or per TF). •Only shows recent zones (user-defined "show last N") and cleans up on lower timeframes if desired. •Fair Value Gaps (FVGs) •Detects 3-candle imbalances where price gaps aggressively (low > high for bullish, high < low for bearish, with optional size threshold). •Plots as semi-transparent boxes (fixed extend) or dynamic fills that adjust with price. •Tracks mitigation (when price fills the gap) and optionally draws dashed mitigation lines. •Shows unmitigated recent FVGs as lines + dashboard stats (total count, % mitigated for bull/bear). •Multi-timeframe logic uses request.security() for higher TFs, with careful handling for display on lower charts. See the code for full pivot detection, array management, mitigation loops, and FVG conditions. How to Use •Best on volatile/liquid markets (crypto, forex, indices, futures) across intraday to daily timeframes. •Use Demand zones (green) as potential long entries or support flips when price approaches from above. •Use Supply zones (red) as potential short entries or resistance when price approaches from below. •FVGs highlight inefficiencies: bullish FVGs often act as magnets/pullbacks in uptrends; bearish in downtrends. •Combine with higher-timeframe bias (e.g., show HTF zones on LTF chart) for confluence. •Alerts fire on: new demand/supply zone, new bullish/bearish FVG, or FVG mitigation. •Keep "Show only on lower timeframes" enabled to avoid clutter on HTF charts. •Adjust "Box Size" (pool) if you hit max_boxes limit on very long histories. Settings General Settings •Hide all Demand / Supply zones •Show S&D only on lower TFs •S&D Box Size (pool limit, default 80) •Mitigate on Close or Wick/Extreme Timeframe 1 & Timeframe 2 (identical groups) •Set to chart timeframe (or custom) •Show Demand/Supply •Alerts for new zones •Timeframe multiplier + period (Min/Hour/Day/Week/Month) •Swing Length for pivots •Border type/width, text size/color •Demand/Supply colors •Show last N zones per type FVG Settings •Threshold % (min gap size) or Auto •Unmitigated levels to show •Mitigation levels (dashed lines) •FVG Timeframe (blank = chart) FVG Style •Extend bars •Dynamic fill (adjusts with price) •Bullish/Bearish colors FVG Dashboard •Show dashboard •Location (Top Right etc.) •Text size Notes / Limitations •Non-repainting after bar close (uses confirmed pivots/security data). •Heavy on boxes/lines — increase pool size carefully (TradingView limits apply). •FVGs can fill quickly in ranging markets; use with structure/context. •Always backtest and combine with your analysis — not financial advice, trading carries risk. •Open-source: feel free to fork, improve, or learn from it.
Indikator Pine Script®
oleh ThePerfectCombo
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?" The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session. Features & Methodology 1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes: Daily & 4-Hour: Establishes the macro direction. 15-Min & 5-Min: Monitors intraday order flow. Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish. 2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range. Range High & Low: Defining the volatility of the opening hour. Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount). Quadrants (25% & 75%): Deep discount/premium zones for precision entries. 3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading. Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them. Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level. Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet. How to Use This Indicator This tool is designed to identify Confluence: Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green). Wait for 10:30 AM EST: Allow the script to draw the First Hour Range. Trade the Confluence: Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels. Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels. Settings & Customization Dashboard Toggle: Show or hide the table to keep charts clean. Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps. Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles. Credits & Attribution Concept: Inner Circle Trader (Michael Huddleston). Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?" Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
Indikator Pine Script®
oleh DivergentTrades
Market Structure Break & OB Probability Toolkit [LuxAlgo]The Market Structure Break & OB Probability Toolkit indicator provides an institutional framework for identifying high-probability liquidity zones and significant market structure transitions using momentum-based filters and volume analysis. 🔶 USAGE The indicator aims to provide a systematic approach to structural analysis, allowing traders to identify clear institutional footprints. By integrating statistical filters, the tool helps isolate high-conviction signals from market noise. 🔹 Market Structure Breaks (MSB) Unlike standard fractal-based breaks, the MSB logic in this toolkit utilizes a Momentum Z-Score filter . This ensures that structural shifts are only highlighted when price breaks a pivot with significant conviction. Pivot Lookback: Custom sensitivity for identifying swing highs and lows. Volatility Filtering: Only breaks exceeding the statistical threshold are labeled, helping traders avoid low-momentum fakeouts. 🔹 Institutional Order Blocks (OB) The script automatically detects and manages Order Blocks based on the candle preceding an MSB. Every zone includes a Point of Control (POC) line for precise entry or target consideration. Standard OBs: Formed during structural transitions, representing potential institutional interest. High-Probability OBs (HP-OB): Zones identified with exceptionally high impulse and volume signatures (score > 80%). These are visually distinct to highlight their increased significance. 🔹 Session Range Integration Traders can track the ranges of the London, New York, Tokyo, and Sydney sessions. This allows for the identification of structural breaks occurring at session extremes or during high-liquidity windows. 🔹 Strategy Application Trend Direction: Identify the prevailing bias through MSB signals. A bullish MSB followed by a retracement into a Bullish OB provides a classic institutional entry scenario. Zone Confluence: Look for High-Probability OBs that align with Session Highs/Lows for increased trade conviction. Re-test Analysis: Enable "Extend Broken OBs" to see how price interacts with flipped liquidity zones. 🔶 DETAILS The toolkit utilizes several advanced logic components to maintain chart clarity and analytical depth: Intelligent Mitigation Logic: Active zones are managed in real-time. Traders can choose between "Historical" (shows all past zones) or "Present" (shows only active zones) display modes. Mitigated Extension: A specialized feature to extend recently broken zones, allowing for re-test analysis of formerly active liquidity. Overlap Filter: Option to hide overlapping Order Blocks to maintain a clean, actionable chart. 🔹 Analytics Dashboard The built-in dashboard provides a real-time performance suite: OB Reliability: A percentage-based efficiency metric tracking how many detected zones have been successfully mitigated by price. High-Prob Zone Count: A live counter of active HP-OBs currently remaining on the chart. 🔶 SETTINGS 🔹 Market Structure Pivot Lookback: Defines the sensitivity of the market structure detection by adjusting the lookback period for pivots. MSB Momentum Z-Score: Sets the statistical threshold for a price move to be considered a valid structural break. 🔹 Visuals Display Mode: Toggles between showing historical mitigated zones or only currently active ones. 🔹 Order Blocks Max Active OBs: Controls the maximum number of blocks stored and displayed on the chart. Extend Broken OBs: If enabled, recently mitigated blocks will remain visible to observe potential re-tests. Hide Overlapping OBs: Removes redundant zones that occupy the same price area as existing ones. 🔹 Sessions Show Session Ranges: Global toggle for session visualizations. Session Toggles: Individual controls to enable London, New York, Tokyo, or Sydney ranges with custom time and color inputs. Institutional trading concepts and Smart Money Concept (SMC) indicators involve significant risk. This tool is designed for educational and analytical purposes. Past performance is not indicative of future results.
Indikator Pine Script®
oleh LuxAlgo
17
High Breakout PRO - Huy Hoang Trader # High Breakout PRO - Huy Hoang Trader - Strategy Description ## 🚀 Overview **High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**. This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes. ## 💎 Key Features 1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability. 2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines: * **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support). * **Volatility:** Uses ATR-based trailing (Chandelier Exit logic). * *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation. 3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter. ## 🛠 Strategy Logic ### entry rules * **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20). * **Trend Confirmation:** Closing Price > EMA 200 (Configurable). ### Exit Rules * **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**. * The Trailing Stop never moves down. It only moves up as price increases. * It effectively adapts to both slow-grinding trends and explosive spikes. ## ⚙️ Best Settings (Recommended) * **Timeframe:** H4 (Swing Trading) or Daily (Position Trading). * **Entry Period (X):** 20 * **Exit Period (Y):** 10 * **Trend Filter:** ON (EMA 200) * **Risk Management:** Hybrid Mode (ATR Multiplier 3.0) ## ⚠️ Disclaimer This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading. --- *Developed by Antigravity. Empowering traders with institutional-grade tools.* Contact for work: www.facebook.com
Strategi Pine Script®
oleh ngohuyhoanghcm
RS Filtered RSIRS Filtered RSI (RSF RSI) | MisinkoMaster The RS Filtered RSI is an advanced RSI-based indicator that enhances the traditional RSI by applying a custom filtering technique using Fourier transform principles. This reduces noise and improves the clarity of signals, helping traders better identify trend direction and potential reversals. Key Features Combines classic RSI calculation with Fourier-based filtering for noise reduction Dynamically adapts to price momentum using Relative Strength filtering Provides clear bullish and bearish trend signals with customizable thresholds Includes overbought and oversold levels for better entry and exit timing Plots divergence histogram to highlight momentum changes Candle coloring aligns with trend direction for intuitive reading Highly configurable via inputs for RSI length, filter length, Fourier length, and thresholds How It Works Calculates a standard RSI on the selected price source over the chosen length. Applies a Discrete Fourier Transform (DFT) on recent price data to extract dominant frequency components and filter noise (code adapted from @BackQuant). Uses Fourier magnitudes combined with RSI values to build a filter that strengthens the RSI signal and filters weak moves. Applies upper and lower thresholds on the filtered RSI to define bullish and bearish trends. Visualizes trend signals, divergence, and overbought/oversold zones with colored plots and candles. Inputs Overview Length — RSI calculation period Source — Price input (default: close) Filter Length — Length for Relative Strength filter Fourier Length — Number of bars used for Fourier transform Upper Threshold — Level above which bullish trend is signaled Lower Threshold — Level below which bearish trend is signaled Overbought — RSI level considered overbought Oversold — RSI level considered oversold Usage Notes Best suited for traders who want a smoother, less noisy RSI signal especially in volatile markets. Can be combined with other indicators or price action for better confirmation. Adjust Fourier length and filter parameters to balance smoothness and responsiveness. Use divergence histogram to spot momentum shifts early. Candle coloring makes trend identification more intuitive. Not a standalone trading signal — always backtest and manage risk accordingly. Shout Out Special thanks to @BackQuant for the Fourier transform code that inspired the filtering technique in this indicator. Disclaimer This indicator is for educational use only and does not constitute financial advice. Trading involves risk. Please do your own research and trade responsibly.
Indikator Pine Script®
oleh MisinkoMaster
True Range Smoothed SuperTrendTrue Range Smoothed SuperTrend (TRS SuperTrend | MisinkoMaster) The True Range Smoothed SuperTrend is an innovative trend analysis indicator designed to identify clear market trends while minimizing noise. By combining a smoothed price source weighted by true range values with an ATR-based volatility multiplier, this tool delivers reliable trend signals adaptable to a wide variety of asset classes and timeframes. It’s particularly useful for traders seeking a versatile trend-following system that balances sensitivity and stability. 🔍 Concept & Idea The indicator enhances the classic SuperTrend concept by using a true range–weighted smoothing of price data instead of raw price or simple moving averages. This weighting helps focus on periods with higher volatility, improving the relevance of trend detection. Along with smoothing, the indicator applies an ATR-based volatility multiplier to dynamically adjust the upper and lower trend bands, adapting to current market volatility conditions. ⚙️ How It Works True Range Weighted Smoothing: The source price (default: low) is multiplied by the true range values over the lookback period. These weighted values are summed and normalized by the total true range sum. The result is further smoothed using an Exponential Moving Average (EMA) with a length proportional to the square root of the input length, reducing noise while preserving trend responsiveness. ATR-based Bands: The Average True Range (ATR) is calculated with the same length as the smoothing period. The ATR is multiplied by a user-defined multiplier to establish dynamic upper and lower bands around the smoothed price. Trend Determination: When the source price crosses above the upper band, a bullish trend is signaled. Conversely, crossing below the lower band signals a bearish trend. These crossings update the trend state, which controls plotted bands and trend labels. 🧩 Inputs Overview Length – Controls the lookback period for true range weighting, ATR calculation, and smoothing. Affects sensitivity and smoothness (default 37). Source – Price source used for calculation, defaulting to low. Multiplier – Scales the ATR bands to adjust volatility sensitivity (default 1.45). 📌 Usage Notes The TRS SuperTrend works well across various asset classes and timeframes. The true range weighting improves trend detection in volatile markets by emphasizing price moves during active periods. Adjust the length and multiplier inputs to balance between noise reduction and responsiveness for your specific market and strategy. Trend changes are visually marked with “𝓛𝓸𝓷𝓰” and “𝓢𝓱𝓸𝓻𝓽” labels directly on the chart. Background fills between bands and price improve visual clarity. Combine with other confirmation tools and risk management practices for best results. Not a standalone trading system; always validate and backtest prior to live trading. ⚠️ Disclaimer This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and users should perform their own analysis before making trading decisions. Enjoy smoother and clearer trend analysis with the True Range Smoothed SuperTrend!
Indikator Pine Script®
oleh MisinkoMaster
Filtered Percentile OscillatorFiltered Percentile Oscillator (FPO | MisinkoMaster) The Filtered Percentile Oscillator is a modern trend-following tool designed to combine the power of percentile ranking with adaptive trend strength filtering. By integrating a filter based on ADX strength, this oscillator aims to reduce noise and improve signal quality, helping traders identify more reliable bullish and bearish momentum zones. This indicator works well across different markets, especially where volatility and trend clarity fluctuate. Although it can be noisy at times, the intelligent filtering mechanism provides strong potential for spotting actionable trend signals. 🔍 Concept & Idea The idea behind the Filtered Percentile Oscillator is to use the percentile rank of price changes as a normalized measure of momentum, then apply an adaptive filter based on the Average Directional Index (ADX) to adjust sensitivity dynamically. By combining these two concepts: The Percentile Oscillator captures how extreme the current price is relative to recent price history. The ADX-based filter adjusts threshold levels and confirms if the market is trending strongly enough to trust these percentile signals. This dual-filtering mechanism improves the indicator’s ability to avoid false signals caused by noisy or non-trending environments. ⚙️ How It Works The indicator calculates the Percentile Rank of the user-selected price source over a defined length (len). This percentile oscillator oscillates between -100% and +100%, reflecting relative price positioning. It calculates the ADX and its percentile rank over a separate filter length (adx_len and ap_len) to estimate trend strength and market activity. A combined potential filter checks if the sum of the absolute percentile oscillator and ADX percentile exceeds a user-defined threshold (pot_t). This filter controls whether signals are considered valid. Thresholds for long and short signals dynamically adapt based on whether the ADX percentile exceeds the filter threshold (adx_t): When strong trend strength is detected (ADX percentile > threshold), tighter upper and lower thresholds (ut and lt) apply to capture sharper trend signals. When trend strength is weaker, wider thresholds (utm and ltm) are used to filter noise and reduce false signals. Trend states are determined by comparing the percentile oscillator to these adaptive thresholds and validating the potential filter condition. Overbought and oversold zones are also plotted for identifying potential reversal or exhaustion areas. 🧩 Inputs Overview Length – Controls the lookback period for the Percentile Oscillator calculation (default 29). Source – The price data source used for oscillator calculation (default: close). Filter Length – Lookback period for ADX calculation used as a filter (default 12). Filter % Length – Length used to calculate the percentile rank of the ADX filter (default 8). Trending Upper Threshold – Upper bound for bullish signals when trend strength is strong (default 10). Trending Lower Threshold – Lower bound for bearish signals when trend strength is strong (default -10). Ranging Upper Threshold – Upper bound for bullish signals when trend strength is weak (default 15). Ranging Lower Threshold – Lower bound for bearish signals when trend strength is weak (default -15). Sum Filter Threshold – Minimum combined percentile value required to validate signals (default 100). Filter Threshold – Minimum ADX percentile value required to switch to tighter thresholds (default 50). Overbought – Level indicating overbought conditions for the oscillator (default 80). Oversold – Level indicating oversold conditions for the oscillator (default -80). 📌 Usage Notes Adaptive Filtering: The indicator dynamically adjusts sensitivity to market trend strength, reducing false signals during ranging or low-activity periods. Normalized Momentum: Using percentile ranks allows comparison across different instruments and timeframes on a consistent scale. Trend Confirmation: The ADX percentile filter ensures signals are stronger and more reliable when the market is trending. Visual Guidance: Colored plots, threshold lines, and background fills improve signal interpretation and decision-making. Customization: Thresholds and lengths can be fine-tuned for different markets or trading styles. Complementary Use: Best combined with volume analysis, price action, or other indicators for comprehensive trade confirmation. Backtest First: Always validate settings on historical data to match your preferred instrument and timeframe before live trading. ⚠️ Disclaimer This indicator is provided solely for educational and analytical use. It is not financial advice. Trading involves risk, and users should perform their own due diligence before making trading decisions. Enjoy improved trend filtering with the Filtered Percentile Oscillator!
Indikator Pine Script®
oleh MisinkoMaster
Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster) The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals. Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed. 🔍 Concept & Idea The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range. Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness. ⚙️ How It Works The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago). For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price. After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum. This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state: Above the upper threshold: bullish/uptrend signal Below the lower threshold: bearish/downtrend signal Between thresholds: neutral/no clear trend The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend. 🧩 Inputs Overview From (start) – Defines the start bar offset for the lookback range in the for loop (default 0). To (end) – Defines the end bar offset for the lookback range in the for loop (default 45). Upper Threshold – Score level above which an uptrend signal is triggered (default 39). Lower Threshold – Score level below which a downtrend signal is triggered (default -12). 📌 Usage Notes Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs. Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD. Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength. Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes. Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices. Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market. ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions. Enjoy trading with Adaptive For Loop!
Indikator Pine Script®
oleh MisinkoMaster
Momentum RSIMomentum RSI (MRSI | MisinkoMaster) Momentum RSI is an enhanced version of the classic Relative Strength Index (RSI) developed by J. Welles Wilder. This indicator integrates momentum components directly into the RSI calculation, resulting in a faster, smoother oscillator that helps traders identify trend strength and value zones with greater precision. Unlike the traditional RSI, which relies on a fixed smoothing approach, the Momentum RSI dynamically incorporates momentum derived from differences between moving averages of RSI values over different lookback periods. This improves signal responsiveness while reducing noise, providing clearer insights for both trend-following and mean-reversion trading strategies. 🔍 Concept & Idea Momentum RSI aims to improve the original RSI by adding momentum elements that speed up its reaction to price changes without sacrificing smoothness. This hybrid approach helps: Capture early signals in trending markets Reduce false signals during sideways or choppy conditions Highlight overbought and oversold zones more effectively Provide additional momentum context for more informed trading decisions By combining RSI with momentum derived from moving average differences, the indicator balances sensitivity and stability for a versatile application across different asset classes and timeframes. ⚙️ How It Works The Momentum RSI calculation involves several key steps: Standard RSI Calculation: The indicator first calculates the classic RSI using user-defined length and smoothing parameters. Users can customize the RSI source price and the smoothing moving average (MA) type applied (options include RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA). Momentum Derivation: Two versions of the RSI are computed with different smoothing lengths—a base RSI and a longer smoothed RSI. The difference between their moving averages represents a momentum component that measures the short-term trend strength. Additional Momentum: The difference between shorter-length and longer-length RSI calculations adds another momentum layer, reflecting momentum shifts over different timescales. Momentum Integration: These momentum components are combined and added to the previous RSI value, resulting in a momentum-enhanced RSI value (mrsi) that oscillates between 0 and 100. Trend Detection: Customizable upper and lower thresholds define long and short signal zones, allowing users to interpret when the market is trending bullish or bearish. Overbought/Oversold Zones: Additional thresholds highlight extreme value zones for potential mean-reversion trades. 🧩 Inputs Overview RSI Length - Controls the primary RSI calculation length (default 20). Source - Selects the price source for the RSI calculation (default: close). Smoothing Length - Length used to smooth RSI values with the chosen MA type (default 12). MA Type - Moving average method used for smoothing (options: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA). ALMA Offset - Offset parameter for ALMA smoothing (applicable only if ALMA is selected). ALMA Sigma - Sigma parameter for ALMA smoothing (applicable only if ALMA is selected). Upper Threshold - RSI level above which a bullish (long) signal is triggered (default 55). Lower Threshold - RSI level below which a bearish (short) signal is triggered (default 45). Overbought Threshold - RSI level indicating overbought conditions (default 85). Oversold Threshold - RSI level indicating oversold conditions (default 15). 📌 Usage Notes Versatile Application: Use Momentum RSI for both trend-following and mean-reversion strategies. Signal Clarity: The momentum integration reduces noise, helping avoid false breakouts and improving entry timing. Customization: Adjust smoothing lengths and MA types to match the characteristics of your trading style or the specific asset. Visual Aids: Background colors, candle coloring, and shape markers facilitate quick interpretation of momentum strength and trend changes. Threshold Sensitivity: Fine-tune thresholds to balance between early signals and signal reliability. Intrabar Updates: Signals may update on lower timeframes for responsive trading. Combine with Other Tools: For best results, use Momentum RSI alongside volume, price action, or other confirmation indicators. Backtest Before Live Trading: Always validate settings on historical data to ensure suitability for your trading instrument and timeframe. ⚠️ Disclaimer This script is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own due diligence before making any trading decisions.
Indikator Pine Script®
oleh MisinkoMaster
Adaptive Moving AverageAdaptive Moving Average The Adaptive Moving Average (AMA) dynamically adjusts to market conditions, selecting the most responsive behavior while filtering noise to provide clearer trend guidance. 🚀 Why It’s Unique • Exclusive adaptive logic unique to this script • High speed with reduced noise • Strong performance on volatile assets such as SOLUSD and CROUSD • Highly customizable moving average combinations • Multi-layer processing for improved accuracy • Color-changing plots and reversal highlights for quick interpretation 💡 Core Idea The indicator blends multiple user-selected moving averages and dynamically emphasizes the one best suited to current market conditions. This preserves responsiveness during strong moves while filtering weak or noisy signals. ⚙️ How It Works Three user-selected moving averages are calculated using the same base length. A first adaptation layer weights the averages based on their rate of change responsiveness. A second rate-of-change filter measures market conditions to suppress signals during unstable environments. The final adaptive average changes behavior depending on market speed and direction. The result is a moving average that reacts quickly during trends while remaining stable during choppy periods. 📌 Usage Notes • Color changes indicate shifts in trend direction. • Highlighted diamonds mark reversal events. • Higher adaptation thresholds reduce signals but increase reliability. • Lower thresholds increase responsiveness for faster trading styles. 🧭 Conclusion The Adaptive Moving Average continuously adjusts its behavior to reduce false signals while maintaining speed and responsiveness. It offers a versatile tool for traders seeking clearer market structure and improved strategy execution.
Indikator Pine Script®
oleh MisinkoMaster
MACD Standard DeviationMACD Standard Deviation The MACD Standard Deviation is a smoother, volatility-adjusted version of MACD designed to improve signal quality and reduce noise while preserving fast market responsiveness. 🚀 Benefits • Strong performance on assets like BNBUSDT • Faster entries with reduced signal noise • Simple and efficient calculation method • Improved trend clarity compared to classic MACD 💡 Core Idea The objective is to create a cleaner MACD signal by measuring and adapting to its volatility. By accounting for dispersion, the indicator filters weak fluctuations and keeps meaningful momentum moves. ⚙️ How It Works A standard MACD is calculated using selected moving averages. Standard deviation of the MACD is computed over a chosen period. Upper and lower dynamic levels are derived from MACD median and volatility. These adaptive bands help filter false signals and better capture trend direction. The result is a smoother, more stable MACD-based trend tool. 📌 Usage Notes • Crosses around the zero line indicate potential trend shifts. • Expanding band distance suggests rising momentum volatility. • Contracting distance often signals consolidation phases. • Histogram changes help visualize acceleration or weakening momentum.
Indikator Pine Script®
oleh MisinkoMaster
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction. 🚀 Benefits • Reduced noise through multi-source averaging • Fast response to market changes • Strong performance on volatile assets, especially altcoins (notably CROUSD) 💡 Core Idea The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously. ⚙️ How It Works A fast and a slow moving average are calculated. Multiple intermediate values are derived and averaged to build a highly stable center line. Differences between all components are averaged to estimate volatility. This volatility is added and subtracted from the center line to form dynamic upper and lower bands. The result is adaptive bands that track market structure with high accuracy and reduced lag. 📌 Usage Notes • Best suited for trend detection and dynamic support/resistance. • Bands expanding → volatility increasing. • Bands contracting → market compression or consolidation. • Crosses above/below bands often signal strong directional shifts. Enjoy and trade smart.
Indikator Pine Script®
oleh MisinkoMaster
Moving Average Divergence BandsMoving Average Divergence Bands Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common. The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality. 🚀 Core Idea The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions. This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise. 🔍 How It Works The indicator calculates two moving averages: • A primary moving average using the chosen length • A secondary moving average using half of that length Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band. To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when: • Price breaks above or below the adaptive band, and • The absolute Z-score exceeds the user-defined threshold. This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise. ⚙️ Key Features • Fast trend-following bands optimized for volatile markets • Dual moving-average divergence construction • Z-score filtering to reduce false signals • Multiple moving-average types supported • Adjustable statistical sensitivity • Visual band and trend coloring styles 🧩 Inputs Overview • Moving-average length and source • Moving-average type selection • Z-score calculation length • Z-score activation threshold • Visual style presets for band coloring 📌 Usage Notes • Designed to identify strong market moves while filtering weak breakouts. • Particularly suited for volatile markets and altcoin trading environments. • Band breaks without sufficient Z-score strength will not trigger signals. • Signals may change intrabar on lower timeframes. • Best used alongside risk management and confirmation tools. • No indicator eliminates risk; testing and validation are always recommended. This script is intended for analytical use only and does not constitute financial advice.
Indikator Pine Script®
oleh MisinkoMaster
Adaptive RSIAdaptive RSI Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves. Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves. 🔍 Concept & Idea The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments. By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance: • Early entries during strong market moves • Reduced noise during consolidation • Mean-reversion opportunities in ranging markets • Momentum confirmation in trending markets This adaptive behavior makes the oscillator more versatile across multiple market conditions. ⚙️ How It Works The indicator evaluates market activity using three drivers: • True Range (volatility) • Volume activity • Rate of price change Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes. This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive. After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness. An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators. A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength. ⚙️ Key Features • Adaptive RSI calculation speed • Works for both trend-following and mean-reversion approaches • Adjustable long and short signal thresholds • Overbought and oversold zone highlighting • Divergence histogram between RSI and adaptive smoothing • Trend-based coloring and visual signal markers • Optional ROC-weighted source for advanced users 🧩 Inputs Overview • RSI calculation length and smoothing length • Price source selection or optional special weighted source • Speed tier selection (slow, medium, fast behavior) • Activity priority order (volatility, volume, momentum) • Long/short and overbought/oversold thresholds 📌 Usage Notes • Can be used both for trend continuation and mean-reversion strategies. • Adaptive logic helps reduce noise during sideways markets. • Strong moves may cause faster RSI transitions due to adaptive speed selection. • Signals may update intrabar on lower timeframes. • Works best when combined with risk management and confirmation tools. • No indicator is perfect; always test before live use. This script is intended for analytical purposes only and does not provide financial advice.
Indikator Pine Script®
oleh MisinkoMaster
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise. Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases. 🔍 How It Works The indicator combines: • A user-selectable Moving Average as the core trend base • ATR-based volatility bands to detect trend transitions • An adaptive filter that determines when the base should update The adaptive mechanism evaluates market conditions using one of several selectable drivers: • ATR expansion (volatility increase) • Rate-of-change acceleration • Rising trading volume • Increasing divergence between price and the moving average If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations. Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands. When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance. ⚙️ Key Features • Adaptive moving-average baseline • Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA • ATR-based volatility bands • Multiple adaptation modes (volatility, momentum, volume, divergence) • Reduced noise during consolidation phases • Smooth trend visualization and transition markers 🧩 Inputs Overview • Moving-average type and length • Price source selection • ATR length and multiplier • Adaptive filter method selection 📌 Usage Notes • Useful for identifying prevailing market direction and trend shifts. • Adaptive filtering can help reduce false signals during sideways markets. • Signals may update intrabar on lower timeframes. • Best results are achieved when combined with confirmation tools or risk management rules. • This script is intended for analytical purposes and does not provide financial advice.
Indikator Pine Script®
oleh MisinkoMaster
Luminous Trend Wave [Pineify]``` Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes. Key Features Hull Moving Average foundation for reduced lag trend detection ATR normalization for universal applicability across all markets Bounded output range (-100 to +100) using mathematical tanh transformation Dynamic gradient coloring that reflects momentum intensity Built-in signal line for momentum confirmation Automatic alerts for trend reversals and momentum shifts How It Works The indicator operates through a four-stage calculation process: Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements. Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend. ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar. Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information. Trading Ideas and Insights Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis. Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves. Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move. Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals. How Multiple Indicators Work Together LTW integrates three distinct technical concepts into a cohesive system: Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?" Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between. Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals. Unique Aspects Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities. Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading). Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values. How to Use Add the indicator to your chart - it displays in a separate pane below price. Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below. Use the ±80 levels as caution zones where reversals become more likely. Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum. Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones. Set alerts for automated notifications on trend changes and momentum shifts. Customization Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag. Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers. Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings. Colors: Fully customizable bullish and bearish colors to match your chart theme. Gradients: Toggle gradient coloring on/off based on preference. Conclusion The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity. ```
Indikator Pine Script®
oleh Pineify