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Multi-Factor Reversal AnalyzerMulti-Factor Reversal Analyzer – Quantitative Reversal Signal System OVERVIEW Multi-Factor Reversal Analyzer is a comprehensive technical analysis toolkit designed to detect market tops and bottoms with high precision. It combines trend momentum analysis, price action behavior, wave oscillation structure, and volatility breakout potential into one unified indicator. This tool is ideal for traders seeking to catch reversals, filter false breakouts, and enhance entry/exit timing through a blend of leading and lagging signals. Whether you’re a discretionary trader or building a systematic strategy, this multi-dimensional model provides clarity across market regimes. IMPLEMENTATION PRINCIPLES 1. Trend Strength Detector Analyzes price and volume momentum using directional bias and volume-weighted trend scoring to quantify bullish or bearish strength. 2. Price Action Index Measures trend stability and directional momentum through a composite score based on price volatility, stochastic behavior, and signal-to-noise dispersion metrics. 3. Wave Trend Oscillator Identifies turning points and potential divergences using normalized smoothed lines and histogram differentials. 4. Volatility Gold Zone Detects moments of extremely compressed volatility, signaling potential large-move breakout conditions. 5. Multi-Divergence Detection Tracks regular and hidden bullish/bearish divergences across multiple oscillators for reversal confirmation. KEY FEATURES 1. Multi-Layer Reversal Logic • Combines trend scoring, oscillator divergence, and volatility squeezes for triangulated reversal detection. • Helps traders distinguish between trend pullbacks and true reversals. 2. Advanced Divergence Detection • Detects both regular and hidden divergences using pivot-based confirmation logic. • Customizable lookback ranges and pivot sensitivity provide flexible tuning for different market styles. 3. Gold Zone Volatility Compression • Highlights pre-breakout zones using custom oscillation models (RSI, harmonic, Karobein, etc.). • Improves anticipation of breakout opportunities following low-volatility compressions. 4. Trend Direction Context • PAI and Trend Score components provide top-down insight into prevailing bias. • Built-in “Straddle Area” highlights consolidation zones; breakouts from this area often signal new trend phases. 5. Flexible Visualization • Color-coded trend bars, reversal markers, normalized oscillator plots, and trend strength labels. • Designed for both visual discretionary traders and data-driven system developers. USAGE GUIDELINES 1. Applicable Markets • Suitable for stocks, crypto, futures, and forex • Supports reversal, mean-reversion, and breakout trading styles 2. Recommended Timeframes • Short-term traders: 5m / 15m / 1H — use Wave Trend divergence + Gold Zone • Swing traders: 4H / Daily — rely on Price Action Index and Trend Detector • Macro trend context: use PAI HTF mode for higher timeframe overlays 3. Reversal Strategy Flow • Watch for divergence (WT/PAI) + Gold Zone compression • Confirm with Trend Score weakening or flipping • Use Straddle Area breakout for final trigger • Optional: enable bar coloring or labels for visual reinforcement • The indicator performs optimally when used in conjunction with a harmonic pattern recognition tool 4. Additional Note on the Gold Zone The “Gold Zone” does not directly indicate a market bottom. Since it is displayed at the bottom of the chart, it may be misunderstood as a bullish signal. In reality, the Gold Zone represents a compression of price momentum and volatility, suggesting that a significant directional move is about to occur. The direction of that move—upward or downward—should be determined by analyzing the histogram: • If histogram momentum is weakening, the Gold Zone may precede a downward move. • If histogram momentum is strengthening, it may signal an upcoming rebound or rally. Treat the Gold Zone as a warning of impending volatility, and always combine it with trend indicators for accurate directional judgment. RISK DISCLAIMER • This indicator calculates trend direction based on historical data and cannot guarantee future market performance. When using this indicator for trading, always combine it with other technical analysis tools, fundamental analysis, and personal trading experience for comprehensive decision-making. • Market conditions are uncertain, and trend signals may result in false positives or lag. Traders should avoid over-reliance on indicator signals and implement stop-loss strategies and risk management techniques to reduce potential losses. • Leverage trading carries high risks and may result in rapid capital loss. If using this indicator in leveraged markets (such as futures, forex, or cryptocurrency derivatives), exercise caution, manage risks properly, and set reasonable stop-loss/take-profit levels to protect funds. • All trading decisions are the sole responsibility of the trader. The developer is not liable for any trading losses. This indicator is for technical analysis reference only and does not constitute investment advice. • Before live trading, it is recommended to use a demo account for testing to fully understand how to use the indicator and apply proper risk management strategies. CHANGELOG v1.0: Initial release featuring integrated Price Action Index, Trend Strength Scoring, Wave Trend Oscillator, Gold Zone Compression Detection, and dual-type divergence recognition. Supports higher timeframe (HTF) synchronization, visual signal markers, and diversified parameter configurations.
Pine Script® 인디케이터
MatrixQuant의
3
YY Price LimitsThis Pine Script indicator is designed to visualize potential price limits (e.g., daily price limits used in some markets like commodities) on a TradingView chart. It calculates and plots lines representing percentage-based price limits above and below a reference price (typically the previous day's close). The indicator allows you to customize the displayed price limits, their appearance, and how they extend across the chart. It's particularly useful for intraday traders who need to be aware of potential price ceilings and floors. Key Features: Percentage-Based Limits: Calculates price limits based on percentages (3%, 5%, and 7%) of a reference price. Customizable Display: Toggle visibility of reference price and each percentage limit (3%, 5%, 7%). Customize the color, style (solid, dashed, dotted), and width of the price limit lines. Extends Lines: Allows you to extend the price limit lines to the left, right, both directions, or not at all. CME Reference Price: It is designed to plot price limits based on the CME (Chicago Mercantile Exchange) methodology, which uses the last close as the reference price. The tooltip reminds users to verify the actual reference price on the CME Group website. Intraday Focus: The indicator is specifically designed for intraday timeframes, as it uses the previous day's close as the reference point. Clear Visuals: Plots horizontal lines with labels indicating the price level and percentage.
Pine Script® 인디케이터
williamwrong의
Smarter Money Concepts - OBs [PhenLabs]📊 Smarter Money Concepts - OBs Version: PineScript™ v6 📌 Description Smarter Money Concepts - OBs (Order Blocks) is an advanced technical analysis tool designed to identify and visualize institutional order zones on your charts. Order blocks represent significant areas of liquidity where smart money has entered positions before major moves. By tracking these zones, traders can anticipate potential reversals, continuations, and key reaction points in price action. This indicator incorporates volume filtering technology to identify only the most significant order blocks, eliminating low-quality signals and focusing on areas where institutional participation is likely present. The combination of price structure analysis and volume confirmation provides traders with high-probability zones that may attract future price action for tests, rejections, or breakouts. 🚀 Points of Innovation Volume-Filtered Block Detection : Identifies only order blocks formed with significant volume, focusing on areas with institutional participation Advanced Break of Structure Logic : Uses sophisticated price action analysis to detect legitimate market structure breaks preceding order blocks Dynamic Block Management : Intelligently tracks, extends, and removes order blocks based on price interaction and time-based expiration Structure Recognition System : Employs technical analysis algorithms to find significant swing points for accurate order block identification Dual Directional Tracking : Simultaneously monitors both bullish and bearish order blocks for comprehensive market structure analysis 🔧 Core Components Order Block Detection : Identifies institutional entry zones by analyzing price action before significant breaks of structure, capturing where smart money has likely positioned before moves. Volume Filtering Algorithm : Calculates relative volume compared to a moving average to qualify only order blocks formed with significant market participation, eliminating noise. Structure Break Recognition : Uses price action analysis to detect legitimate breaks of market structure, ensuring order blocks are identified only at significant market turning points. Dynamic Block Management : Continuously monitors price interaction with existing blocks, extending, maintaining, or removing them based on current market behavior. 🔥 Key Features Volume-Based Filtering : Filter out insignificant blocks by requiring a minimum volume threshold, focusing only on zones with likely institutional activity Visual Block Highlighting : Color-coded boxes clearly mark bullish and bearish order blocks with customizable appearance Flexible Mitigation Options : Choose between “Wick” or “Close” methods for determining when a block has been tested or mitigated Scan Range Adjustment : Customize how far back the indicator looks for structure points to adapt to different market conditions and timeframes Break Source Selection : Configure which price component (close, open, high, low) is used to determine structure breaks for precise block identification 🎨 Visualization Bullish Order Blocks : Blue-colored rectangles highlighting zones where bullish institutional orders were likely placed before upward moves, representing potential support areas. Bearish Order Blocks : Red-colored rectangles highlighting zones where bearish institutional orders were likely placed before downward moves, representing potential resistance areas. Block Extension : Order blocks extend to the right of the chart, providing clear visualization of these significant zones as price continues to develop. 📖 Usage Guidelines Order Block Settings Scan Range : Default: 25. Defines how many bars the indicator scans to determine significant structure points for order block identification. Bull Break Price Source : Default: Close. Determines which price component is used to detect bullish breaks of structure. Bear Break Price Source : Default: Close. Determines which price component is used to detect bearish breaks of structure. Visual Settings Bullish Blocks Color : Default: Blue with 85% transparency. Controls the appearance of bullish order blocks. Bearish Blocks Color : Default: Red with 85% transparency. Controls the appearance of bearish order blocks. General Options Block Mitigation Method : Default: Wick, Options: Wick, Close. Determines how block mitigation is calculated - “Wick” uses high/low values while “Close” uses close values for more conservative mitigation criteria. Remove Filled Blocks : Default: Disabled. When enabled, order blocks are removed once they’ve been mitigated by price action. Volume Filter Volume Filter Enabled : Default: Enabled. When activated, only shows order blocks formed with significant volume relative to recent average. Volume SMA Period : Default: 15, Range: 1-50. Number of periods used to calculate the average volume baseline. Min. Volume Ratio : Default: 1.5, Range: 0.5-10.0. Minimum volume ratio compared to average required to display an order block; higher values filter out more blocks. ✅ Best Use Cases Identifying high-probability support and resistance zones for trade entries and exits Finding optimal stop-loss placement behind significant order blocks Detecting potential reversal areas where price may react after extended moves Confirming breakout trades when price clears major order blocks Building a comprehensive market structure map for medium to long-term trading decisions Pinpointing areas where smart money may have positioned before major market moves ⚠️ Limitations Most effective on higher timeframes (1H and above) where institutional activity is more clearly defined Can generate multiple signals in choppy market conditions, requiring additional filtering Volume filtering relies on accurate volume data, which may be less reliable for some securities Recent market structure changes may invalidate older order blocks not yet automatically removed Block identification is based on historical price action and may not predict future behavior with certainty 💡 What Makes This Unique Volume Intelligence : Unlike basic order block indicators, this script incorporates volume analysis to identify only the most significant institutional zones, focusing on quality over quantity. Structural Precision : Uses sophisticated break of structure algorithms to identify true market turning points, going beyond simple price pattern recognition. Dynamic Block Management : Implements automatic block tracking, extension, and cleanup to maintain a clean and relevant chart display without manual intervention. Institutional Focus : Designed specifically to highlight areas where smart money has likely positioned, helping retail traders align with institutional perspectives rather than retail noise. 🔬 How It Works 1. Structure Identification Process : The indicator continuously scans price action to identify significant swing points and structure levels within the specified range, establishing a foundation for order block recognition. 2. Break Detection : When price breaks an established structure level (crossing below a significant low for bearish breaks or above a significant high for bullish breaks), the indicator marks this as a potential zone for order block formation. 3. Volume Qualification : For each potential order block, the algorithm calculates the relative volume compared to the configured period average. Only blocks formed with volume exceeding the minimum ratio threshold are displayed. 4. Block Creation and Management : Valid order blocks are created, tracked, and managed as price continues to develop. Blocks extend to the right of the chart until they are either mitigated by price action or expire after the designated timeframe. 5. Continuous Monitoring : The indicator constantly evaluates price interaction with existing blocks, determining when blocks have been tested, mitigated, or invalidated, and updates the visual representation accordingly. 💡 Note: Order Blocks represent areas where institutional traders have likely established positions and may defend these zones during future price visits. For optimal results, use this indicator in conjunction with other confluent factors such as key support/resistance levels, trendlines, or additional confirmation indicators. The most reliable signals typically occur on higher timeframes where institutional activity is most prominent. Start with the default settings and adjust parameters gradually to match your specific trading instrument and style.
Pine Script® 인디케이터
PhenLabs의
EMA 5 Candle Break SignalsThis indicator combines several technical analysis tools to provide trading signals: Features EMA 5 Analysis Plots a 5-period EMA (blue line) Identifies reference candles: Green candles completely above EMA Red candles completely below EMA Breakout Signals Buy signals when price breaks above a red reference candle's high Sell signals when price breaks below a green reference candle's low Signals only trigger when RSI > 50 RSI Filter Uses 14-period RSI Only allows signals when momentum is confirmed (RSI > 50) Dual Volatility Stops Two different volatility-based trailing stops: Short-term (5-period length, 1.3x multiplier) - shown as crosses Medium-term (6-period length, 1.3x multiplier) - shown as circles Stops change color based on trend direction (green=uptrend, red=downtrend) Usage Buy Signals: Green "BUY" labels appear below bars when conditions are met Sell Signals: Red "SELL" labels appear above bars when conditions are met Volatility Stops: Use as dynamic support/resistance levels or exit points
Pine Script® 인디케이터
The_divine_soul-ANKIT의
1
FordOverview The "Ford Trading Assistant" is an indicator crafted to support traders during the fast-paced New York trading session. This tool overlays a customizable table on your chart, delivering real-time insights from key market internals—NYSE and Nasdaq Advance/Decline (A/D), Volume Difference (VOLD), and TICK—alongside a unique Trend Score and actionable trading instructions. Its innovative design blends multiple data points into a cohesive market analysis tool, offering visual clarity and contextual guidance to help traders navigate intraday momentum shifts. Purpose and Usefulness Unlike typical price-based indicators, the Ford Trading Assistant taps into broad market internals to reveal underlying sentiment and momentum, making it an essential companion for intraday trading in the New York session for ETFs such as SPY/QQQ/IWM and Futures Markets(ES/NQ/RTY). It’s ideal for scalpers, day traders, and swing traders looking to confirm trend strength, spot potential reversals, or avoid choppy conditions. The indicator’s dual-table interface—one for data and signals, another for instructions—provides a streamlined way to assess current market dynamics and anticipate what’s ahead, enhancing decision-making in real time. How It Works The indicator pulls live data from six critical market internals using a 1-second timeframe: NYSE Advance/Decline (A/D) - Tracks the balance of advancing versus declining NYSE stocks. Nasdaq Advance/Decline (A/D) - Monitors the same for Nasdaq stocks. NYSE VOLD - Measures the net volume difference between buying and selling on the NYSE. Nasdaq VOLD - Captures the equivalent for Nasdaq. NYSE TICK - Gauges the net number of NYSE stocks ticking up versus down. Nasdaq TICK - Reflects the same for Nasdaq. These internals are analyzed to determine their trend state (e.g., bullish, bearish, or neutral), displayed with color-coded backgrounds and emojis for instant recognition. The indicator then: Assesses Trend Conditions: Evaluates the alignment of internals to identify varying degrees of bullish or bearish momentum, reflected in bar colors on the chart. Calculates a Trend Score: Combines the strength of all internals into a single, proprietary metric that summarizes market direction and intensity. Generates Signals: Detects changing states in market internals like reversals, acceleration, exhaustion, divergence, breakouts, and mean reversion, presented with directional cues and timestamps. A separate instruction panel interprets these conditions, delivering guidance tailored to the market’s current state—whether it’s trending strongly, leaning one way, or stuck in divergence—helping traders understand the auction’s behavior and adjust their approach. Internal Signals and Their Role Each internal signal plays a distinct role in confirming the market’s current state and the conditions you’re trading into: NYSE and Nasdaq A/D: Reflects market breadth. Strong positive readings indicate widespread buying interest, while negative readings suggest broad selling pressure, helping confirm if a move has solid participation. NYSE and Nasdaq VOLD: Tracks volume momentum. High positive values signal aggressive buying, while deep negatives point to heavy selling, validating whether price action is supported by volume. NYSE and Nasdaq TICK: Captures short-term sentiment. Extreme values highlight overbought or oversold conditions, offering clues about potential continuation or exhaustion. How Signals Confirm Conditions Trend Score: A positive score suggests bullish control, a negative score indicates bearish control, and a neutral score points to indecision. It acts as a quick gauge of overall market health with a low score of -24 and a max score of +24 with calculations based on overall internal conditions. Reversal: Warns of potential trend shifts, triggered by significant changes in momentum or conflicting internals. Useful for exiting trends or preparing for counter-moves. Acceleration: Highlights strengthening momentum, confirming conditions for trading a trend with confidence. Exhaustion: Flags overextended moves, signaling fading momentum—ideal for profit-taking or fading trades. Divergence: Indicates a disconnect between price and internals, cautioning against chasing moves that lack internal support. Breakout: Identifies sharp momentum surges, confirming conditions for high-probability breakout trades. Mean Reversion: Signals a pullback from extremes, suggesting a return to balance for range-bound strategies. How to Use It Add to Chart: Apply the indicator to any symbol (e.g., SPY, QQQ) on a 1-second or higher timeframe. It displays an "Internals Table" (default bottom right) and an "Instructions" panel (top right). Track Internals: Watch the table for real-time data, trend states, and the Trend Score. The Bar colors also reflect the strength of bullish or bearish conditions. Read Instructions: Use the instruction panel to understand the market’s state—e.g., "Trending Bullish" suggesting buying conditions, while "Diverging" would suggests caution. Leverage Signals: Act on signals like "Breakout" or "Exhaustion" to enter new trades, exit old trades, manage current trades or continue to remain sidelined. Adjust table settings (position, size, colors) via inputs. Pair with Price: Combine with your favorite price tools (e.g., support/resistance) to align internals with chart setups. Customization Modify the lookback period (default 100 bars), table orientation (vertical/horizontal), text size, colors, and transparency to fit your workflow. Limitations Requires real-time NYSE/Nasdaq data, which may depend on your TradingView plan. Signals reflect current conditions, not future predictions, and may lag in extreme volatility. Best used alongside price analysis for a complete trading strategy. Requires a TradingView Subscription that supports the 1s Time Frame Why It’s Original The Ford Trading Assistant stands apart by integrating NYSE and Nasdaq internals into a unified, trader-friendly tool with a custom Trend Score and dynamic instructions. Rather than simply mashing up existing indicators, it offers a fresh approach to interpreting market momentum, enhanced by real-time signal detection and actionable guidance—making it a standout assistant for the New York session.
Pine Script® 인디케이터
ATMTrades의
EMA Stack Strength MeterEMA Stack Strength Meter The EMA Stack Strength Meter is a visual tool designed to help traders quickly assess trend strength and structure based on the alignment of multiple Exponential Moving Averages (EMAs). This indicator uses a five-EMA stack (4, 8, 13, 21, 34) and displays a meter-style histogram that quantifies how strongly the EMAs are aligned in either a bullish or bearish configuration. How It Works: The script checks how many of the following conditions are true: EMA 4 > EMA 8 > EMA 13 > EMA 21 > EMA 34 indicates a Bullish Stack EMA 4 < EMA 8 < EMA 13 < EMA 21 < EMA 34 indicates a Bearish Stack For each consecutive pair that satisfies the stack direction, a score is assigned (1 to 4). These scores are plotted as color-coded horizontal bars: Green bars at the top of the meter represent bullish stacking Red bars at the bottom of the meter represent bearish stacking No bars means EMAs are mixed or flat, suggesting a weak or choppy market Mixed Bars (Both Bullish and Bearish Showing): When both bullish and bearish bars appear at the same time, it means the EMAs are partially aligned in opposite directions. This reflects an unclear or transitioning trend. The market may be range-bound, choppy, or indecisive. During such phases, trend-following strategies may underperform, and caution is advised until a full alignment appears in either direction. Use Cases: Quickly gauge the trend structure without analyzing each EMA individually Use it as a trend confirmation filter alongside trade entries Avoid whipsaws during low-alignment or sideways conditions Works across any timeframe or asset All plot levels (Bullish 1 to 4 and Bearish 1 to 4) are always visible in the Style tab for easy customization. This is a clean, non-overlay visual tool that pairs well with price action strategies, momentum indicators, or systems requiring trend confirmation.
Pine Script® 인디케이터
PSPILLAI의
2
⚜️ Double MACD MTF [NuengChill] ⚜️it have signal 5 signal 1. double MACD signal = it will use trend from HTF MACD when LTF MACD cross zero line it will show buy signal when HTF MACD < 0 it will be Down trend , when LTF MACD cross zero line it will sell signal 2. MACD1 signal = it will show signal when (LTF MACD) cross signal line 3. Cross 0 = it will show signal when (LTF MACD) cross zero line 4. MACD2 signal = Cross signal from (HTF MACD) 5 Cross 0 = cross zero from (HTF MACD) Double = calculate 2 MACD MACD1 = calculate from LTF MACD MACD2 = calculate from HTF MACD
Pine Script® 인디케이터
NuengChill의
1
TDI - RSX + Divergences + Pivots🧾 Description: This indicator is an enhanced version of the Traders Dynamic Index (TDI) based on the RSX (a smoothed version of the RSI), designed to help traders identify market momentum, divergence, and potential reversal points with high precision. It includes the classic TDI components (RSX Price Line, Signal Line, and Volatility Bands), combined with: ✅ Customizable RSX Levels – up to 5 horizontal levels (e.g., 30, 50, 70, 85, 15) with user-defined colors ✅ Dynamic Fill Between Lines – to visualize bullish/bearish momentum shifts ✅ RSX-based Divergence Detection – regular & hidden bullish/bearish divergence ✅ Clean Visual Layout – suitable for scalping, swing trading, or trend-following strategies ⚙️ Best For: Identifying overbought/oversold conditions with RSX precision Confirming trend continuation or early reversal signals Filtering entries with momentum clarity
Pine Script® 인디케이터
Guiguifac의
VWAP and its DeviationVWAP and Its Deviation This indicator shows the VWAP along with its along with its ±1 standard upper and lower deviation bands. VWAP helps traders understand the average price where most trading has happened during the day, acting as a dynamic support and resistance level. If the price is above the VWAP, it usually indicates bullish bias; if it's below, it suggests bearish bias. The upper and lower bands represent standard deviation levels from the VWAP and can be used to identify overbought or oversold conditions, or strong breakouts during trending markets. In sideways conditions, price touching the upper band may signal an overbought area, while touching the lower band may signal oversold. In trending conditions, breaking above the upper band or staying below the lower band can confirm momentum. This indicator can be used alone or with other tools like price action, candlestick signals, or key support/resistance zones for better trade decisions. The deviation multiplier setting allows you to control how far the bands are from the VWAP. What is VWAP? VWAP represents the average price weighted by volume over a session. It shows where most of the trading activity happened and is often seen as the “fair price.” Price above VWAP → Bullish Bias Price below VWAP → Bearish Bias VWAP acts as dynamic support/resistance in intraday trading How to Use This Indicator: VWAP Usage Buy when price is above VWAP and pulls back to it (support zone) Sell when price is below VWAP and pulls back to it (resistance zone) Deviation Bands (Upper & Lower) These bands are based on standard deviation, showing how far price is stretching from the VWAP: Upper Band: Resistance in sideways markets Breakout zone in strong uptrends Lower Band: Support in sideways markets Breakdown zone in strong downtrends Use them for: Identifying overbought/oversold zones Confirming momentum or reversals Adding confluence with price action, candle patterns, or support/resistance zones Settings: Show VWAP – Enable/disable the main VWAP line Show VWAP Bands – Show/hide the deviation bands Deviation Multiplier – Adjust the width of the bands (default: 1.0) 🧠 Tip for Beginners: Start by observing how price reacts around the VWAP during live market hours. Combine this indicator with your support/resistance zones or candlestick signals to improve accuracy. Created by @wkabichandra. Let me know your feedback or suggestions for improvements!
Pine Script® 인디케이터
wkabichandra의
Multi Oscillator OB/OS Signals v3 - Scope TestIndicator Description: Multi Oscillator OB/OS Signals Purpose: The "Multi Oscillator OB/OS Signals" indicator is a TradingView tool designed to help traders identify potential market extremes and momentum shifts by monitoring four popular oscillators simultaneously: RSI, Stochastic RSI, CCI, and MACD. Instead of displaying these oscillators in separate panes, this indicator plots distinct visual symbols directly onto the main price chart whenever specific predefined conditions (typically related to overbought/oversold levels or line crossovers) are met for each oscillator. This provides a consolidated view of potential signals from these different technical tools. How It Works: The indicator calculates the values for each of the four oscillators based on user-defined settings (like length periods and price sources) and then checks for specific signal conditions on every bar: Relative Strength Index (RSI): It monitors the standard RSI value. When the RSI crosses above the user-defined Overbought (OB) level (e.g., 70), it plots an "Overbought" symbol (like a downward triangle) above that price bar. When the RSI crosses below the user-defined Oversold (OS) level (e.g., 30), it plots an "Oversold" symbol (like an upward triangle) below that price bar. Stochastic RSI: This works similarly to RSI but is based on the Stochastic calculation applied to the RSI value itself (specifically, the %K line of the Stoch RSI). When the Stoch RSI's %K line crosses above its Overbought level (e.g., 80), it plots its designated OB symbol (like a downward arrow) above the bar. When the %K line crosses below its Oversold level (e.g., 20), it plots its OS symbol (like an upward arrow) below the bar. Commodity Channel Index (CCI): It tracks the CCI value. When the CCI crosses above its Overbought level (e.g., +100), it plots its OB symbol (like a square) above the bar. When the CCI crosses below its Oversold level (e.g., -100), it plots its OS symbol (like a square) below the bar. Moving Average Convergence Divergence (MACD): Unlike the others, MACD signals here are not based on fixed OB/OS levels. It identifies when the main MACD line crosses above its Signal line. This is considered a bullish crossover and is indicated by a specific symbol (like an upward label) plotted below the price bar. It also identifies when the MACD line crosses below its Signal line. This is a bearish crossover, indicated by a different symbol (like a downward label) plotted above the price bar. Visualization: All these signals appear as small, distinct shapes directly on the price chart at the bar where the condition occurred. The shapes, their colors, and their position (above or below the bar) are predefined for each signal type to allow for quick visual identification. Note: In the current version of the underlying code, the size of these shapes is fixed (e.g., tiny) and not user-adjustable via the settings. Configuration: Users can access the indicator's settings to customize: The calculation parameters (Length periods, smoothing, price source) for each individual oscillator (RSI, Stoch RSI, CCI, MACD). The specific Overbought and Oversold threshold levels for RSI, Stoch RSI, and CCI. The colors associated with each type of signal (OB, OS, Bullish Cross, Bearish Cross). (Limitation Note: While settings exist to toggle the visibility of signals for each oscillator individually, due to a technical workaround in the current code, these toggles may not actively prevent the shapes from plotting if the underlying condition is met.) Alerts: The indicator itself does not automatically generate pop-up alerts. However, it creates the necessary "Alert Conditions" within TradingView's alert system. This means users can manually set up alerts for any of the specific signals generated by the indicator (e.g., "RSI Overbought Enter," "MACD Bullish Crossover"). When creating an alert, the user selects this indicator, chooses the desired condition from the list provided by the script, and configures the alert actions. Intended Use: This indicator aims to provide traders with convenient visual cues for potential over-extension in price (via OB/OS signals) or shifts in momentum (via MACD crossovers) based on multiple standard oscillators. These signals are often used as potential indicators for: Identifying areas where a trend might be exhausted and prone to a pullback or reversal. Confirming signals generated by other analysis methods or trading strategies. Noting shifts in short-term momentum. Disclaimer: As with any technical indicator, the signals generated should not be taken as direct buy or sell recommendations. They are best used in conjunction with other forms of analysis (price action, trend analysis, volume, fundamental analysis, etc.) and within the framework of a well-defined trading plan that includes risk management. Market conditions can change, and indicator signals can sometimes be false or misleading.
Pine Script® 인디케이터
ozgurzari의
2
Correlation Heatmap█ OVERVIEW This indicator creates a correlation matrix for a user-specified list of symbols based on their time-aligned weekly or monthly price returns. It calculates the Pearson correlation coefficient for each possible symbol pair, and it displays the results in a symmetric table with heatmap-colored cells. This format provides an intuitive view of the linear relationships between various symbols' price movements over a specific time range. █ CONCEPTS Correlation Correlation typically refers to an observable statistical relationship between two datasets. In a financial time series context, it usually represents the extent to which sampled values from a pair of datasets, such as two series of price returns, vary jointly over time. More specifically, in this context, correlation describes the strength and direction of the relationship between the samples from both series. If two separate time series tend to rise and fall together proportionally, they might be highly correlated. Likewise, if the series often vary in opposite directions, they might have a strong anticorrelation . If the two series do not exhibit a clear relationship, they might be uncorrelated . Traders frequently analyze asset correlations to help optimize portfolios, assess market behaviors, identify potential risks, and support trading decisions. For instance, correlation often plays a key role in diversification . When two instruments exhibit a strong correlation in their returns, it might indicate that buying or selling both carries elevated unsystematic risk . Therefore, traders often aim to create balanced portfolios of relatively uncorrelated or anticorrelated assets to help promote investment diversity and potentially offset some of the risks. When using correlation analysis to support investment decisions, it is crucial to understand the following caveats:  • Correlation does not imply causation . Two assets might vary jointly over an analyzed range, resulting in high correlation or anticorrelation in their returns, but that does not indicate that either instrument directly influences the other. Joint variability between assets might occur because of shared sensitivities to external factors, such as interest rates or global sentiment, or it might be entirely coincidental. In other words, correlation does not provide sufficient information to identify cause-and-effect relationships.  • Correlation does not predict the future relationship between two assets. It only reflects the estimated strength and direction of the relationship between the current analyzed samples. Financial time series are ever-changing. A strong trend between two assets can weaken or reverse in the future. Correlation coefficient A correlation coefficient is a numeric measure of correlation. Several coefficients exist, each quantifying different types of relationships between two datasets. The most common and widely known measure is the Pearson product-moment correlation coefficient , also known as the Pearson correlation coefficient or Pearson's r . Usually, when the term "correlation coefficient" is used without context, it refers to this correlation measure. The Pearson correlation coefficient quantifies the strength and direction of the linear relationship between two variables. In other words, it indicates how consistently variables' values move together or in opposite directions in a proportional, linear manner. Its formula is as follows: 𝑟(𝑥, 𝑦) = cov(𝑥, 𝑦) / (𝜎𝑥 * 𝜎𝑦) Where:  • 𝑥 is the first variable, and 𝑦 is the second variable.  • cov(𝑥, 𝑦) is the covariance between 𝑥 and 𝑦.  • 𝜎𝑥 is the standard deviation of 𝑥.  • 𝜎𝑦 is the standard deviation of 𝑦. In essence, the correlation coefficient measures the covariance between two variables, normalized by the product of their standard deviations. The coefficient's value ranges from -1 to 1, allowing a more straightforward interpretation of the relationship between two datasets than what covariance alone provides:  • A value of 1 indicates a perfect positive correlation over the analyzed sample. As one variable's value changes, the other variable's value changes proportionally in the same direction .  • A value of -1 indicates a perfect negative correlation (anticorrelation). As one variable's value increases, the other variable's value decreases proportionally.  • A value of 0 indicates no linear relationship between the variables over the analyzed sample. Aligning returns across instruments In a financial time series, each data point (i.e., bar) in a sample represents information collected in periodic intervals. For instance, on a "1D" chart, bars form at specific times as successive days elapse. However, the times of the data points for a symbol's standard dataset depend on its active sessions , and sessions vary across instrument types. For example, the daily session for NYSE stocks is 09:30 - 16:00 UTC-4/-5 on weekdays, Forex instruments have 24-hour sessions that span from 17:00 UTC-4/-5 on one weekday to 17:00 on the next, and new daily sessions for cryptocurrencies start at 00:00 UTC every day because crypto markets are consistently open. Therefore, comparing the standard datasets for different asset types to identify correlations presents a challenge. If two symbols' datasets have bars that form at unaligned times, their correlation coefficient does not accurately describe their relationship. When calculating correlations between the returns for two assets, both datasets must maintain consistent time alignment in their values and cover identical ranges for meaningful results. To address the issue of time alignment across instruments, this indicator requests confirmed weekly or monthly data from spread tickers constructed from the chart's ticker and another specified ticker. The datasets for spreads are derived from lower-timeframe data to ensure the values from all symbols come from aligned points in time, allowing a fair comparison between different instrument types. Additionally, each spread ticker ID includes necessary modifiers, such as extended hours and adjustments. In this indicator, we use the following process to retrieve time-aligned returns for correlation calculations:  1. Request the current and previous prices from a spread representing the sum of the chart symbol and another symbol ( "chartSymbol + anotherSymbol" ).  2. Request the prices from another spread representing the difference between the two symbols ( "chartSymbol - anotherSymbol" ).  3. Calculate half of the difference between the values from both spreads ( 0.5 * (requestedSum - requestedDifference) ). The results represent the symbol's prices at times aligned with the sample points on the current chart.  4. Calculate the arithmetic return of the retrieved prices: (currentPrice - previousPrice) / previousPrice  5. Repeat steps 1-4 for each symbol requiring analysis. It's crucial to note that because this process retrieves prices for a symbol at times consistent with periodic points on the current chart, the values can represent prices from before or after the closing time of the symbol's usual session. Additionally, note that the maximum number of weeks or months in the correlation calculations depends on the chart's range and the largest time range common to all the requested symbols. To maximize the amount of data available for the calculations, we recommend setting the chart to use a daily or higher timeframe and specifying a chart symbol that covers a sufficient time range for your needs. █ FEATURES This indicator analyzes the correlations between several pairs of user-specified symbols to provide a structured, intuitive view of the relationships in their returns. Below are the indicator's key features: Requesting a list of securities The "Symbol list" text box in the indicator's "Settings/Inputs" tab accepts a comma-separated list of symbols or ticker identifiers with optional spaces (e.g., "XOM, MSFT, BITSTAMP:BTCUSD"). The indicator dynamically requests returns for each symbol in the list, then calculates the correlation between each pair of return series for its heatmap display. Each item in the list must represent a valid symbol or ticker ID. If the list includes an invalid symbol, the script raises a runtime error. To specify a broker/exchange for a symbol, include its name as a prefix with a colon in the "EXCHANGE:SYMBOL" format. If a symbol in the list does not specify an exchange prefix, the indicator selects the most commonly used exchange when requesting the data. Note that the number of symbols allowed in the list depends on the user's plan. Users with non-professional plans can compare up to 20 symbols with this indicator, and users with professional plans can compare up to 32 symbols. Timeframe and data length selection The "Returns timeframe" input specifies whether the indicator uses weekly or monthly returns in its calculations. By default, its value is "1M", meaning the indicator analyzes monthly returns. Note that this script requires a chart timeframe lower than or equal to "1M". If the chart uses a higher timeframe, it causes a runtime error. To customize the length of the data used in the correlation calculations, use the "Max periods" input. When enabled, the indicator limits the calculation window to the number of periods specified in the input field. Otherwise, it uses the chart's time range as the limit. The top-left corner of the table shows the number of confirmed weeks or months used in the calculations. It's important to note that the number of confirmed periods in the correlation calculations is limited to the largest time range common to all the requested datasets, because a meaningful correlation matrix requires analyzing each symbol's returns under the same market conditions. Therefore, the correlation matrix can show different results for the same symbol pair if another listed symbol restricts the aligned data to a shorter time range. Heatmap display This indicator displays the correlations for each symbol pair in a heatmap-styled table representing a symmetric correlation matrix. Each row and column corresponds to a specific symbol, and the cells at their intersections correspond to symbol pairs . For example, the cell at the "AAPL" row and "MSFT" column shows the weekly or monthly correlation between those two symbols' returns. Likewise, the cell at the "MSFT" row and "AAPL" column shows the same value. Note that the main diagonal cells in the display, where the row and column refer to the same symbol, all show a value of 1 because any series of non-na data is always perfectly correlated with itself. The background of each correlation cell uses a gradient color based on the correlation value. By default, the gradient uses blue hues for positive correlation, orange hues for negative correlation, and white for no correlation. The intensity of each blue or orange hue corresponds to the strength of the measured correlation or anticorrelation. Users can customize the gradient's base colors using the inputs in the "Color gradient" section of the "Settings/Inputs" tab. █ FOR Pine Script® CODERS  • This script uses the `getArrayFromString()` function from our ValueAtTime library to process the input list of symbols. The function splits the "string" value by its commas, then constructs an array of non-empty strings without leading or trailing whitespaces. Additionally, it uses the str.upper() function to convert each symbol's characters to uppercase.  • The script's `getAlignedReturns()` function requests time-aligned prices with two request.security() calls that use spread tickers based on the chart's symbol and another symbol. Then, it calculates the arithmetic return using the `changePercent()` function from the ta library. The `collectReturns()` function uses `getAlignedReturns()` within a loop and stores the data from each call within a matrix . The script calls the `arrayCorrelation()` function on pairs of rows from the returned matrix to calculate the correlation values.  • For consistency, the `getAlignedReturns()` function includes extended hours and dividend adjustment modifiers in its data requests. Additionally, it includes other settings inherited from the chart's context, such as "settlement-as-close" preferences. • A Pine script can execute up to 40 or 64 unique `request.*()` function calls, depending on the user's plan. The maximum number of symbols this script compares is half the plan's limit, because `getAlignedReturns()` uses two request.security() calls.  • This script can use the request.security() function within a loop because all scripts in Pine v6 enable dynamic requests by default. Refer to the Dynamic requests section of the Other timeframes and data page to learn more about this feature, and see our v6 migration guide to learn what's new in Pine v6.  • The script's table uses two distinct color.from_gradient() calls in a switch structure to determine the cell colors for positive and negative correlation values. One call calculates the color for values from -1 to 0 based on the first and second input colors, and the other calculates the colors for values from 0 to 1 based on the second and third input colors. Look first. Then leap.
Pine Script® 인디케이터
TradingView의
5
BUYIPO Price Entry PointThis Pine Script code is used to determine the buying price based on an offering price and discount percentage. The main variables and steps used in the code can be explained as follows: Discounted Price Calculation: basePrice (Discounted Price): A price value entered manually by the user. discount: The discount percentage entered by the user. discountedPrice: This calculates the discounted price. It is the value obtained after applying the discount to the basePrice. Percentage Change Calculation: percentage: This is a percentage value set by the user. This value is added to the discounted price to calculate the buying price. level: The buying price is calculated by adding the percentage increase to the discounted price. Label Display: A label is displayed for the first bar (bar_index == 0). This label shows the calculated buying price (level) and indicates this value to the user on the chart. The label.new function determines the position of the label (x and y coordinates on the chart). The label is displayed as "Alım Fiyatı" (Buying Price) and is in green color (color.rgb(2, 255, 48)). Summary of the Code: This script calculates the buying price using an offering price and discount percentage, and it displays this price as a label on the chart only for the first bar.
Pine Script® 인디케이터
B-AWACS의
3
Dual CRS with Moving AverageThis indicator is created with utmost respect and deep gratitude to my teacher, Shri BJ Sir, whose teachings continue to inspire analytical thinking and disciplined market study. 📊 Dual Comparative Relative Strength (CRS): This tool allows comparison of the current chart's relative strength against two customizable benchmark indices or stocks — with default settings as NIFTY50 and CNX500. 📈 Each CRS line is normalized for clean visual comparison and comes with its own customizable moving average to spot trends and relative outperformance/underperformance. ✅ Features: Toggle CRS1 and CRS2 on/off individually. Customize benchmark symbols for each CRS line. Set moving average periods separately for CRS1 and CRS2. Reference midline (0.5) for quick mean-relative perspective. Ideal for relative strength analysis, sector rotation insights, and performance benchmarking.
Pine Script® 인디케이터
arindam_personal_25119의
Crypto Scenario Alert SystemThe "Crypto Scenario Alert System" is a indicator that monitors key crypto assets like Bitcoin (BTC), Bitcoin Dominance (BTC.D), Ethereum (ETH), and total market caps (TOTAL, TOTAL2), providing alerts when important price levels are crossed. Key Alerts: BTC Price: Alerts for breakdowns below $72K or breakouts above $85K. BTC Dominance: Alerts for spikes above 65% or drops below 60%. Total Market Cap: Alerts for market cap changes above $2.85T or below $2.4T. Total2 Market Cap: Alerts for altcoin market cap movements above $1.25T or below $1.05T. ETH Price: Alerts for movements below $3K or above $3.6K. Instructions: Add the Indicator to your chart. Manually Create Alerts: Right-click on the chart, select "Add Alert". Choose your desired alert condition (e.g., BTC Breakdown ). Set your notification preferences.
Pine Script® 인디케이터
cryptotraderx305의
Multi-Timeframe Trend Analysis [BigBeluga]Multi-Timeframe Trend Analysis A powerful trend-following dashboard designed to help traders monitor and compare trend direction across multiple higher timeframes. By analyzing EMA conditions from five customizable timeframes, this tool gives a clear visual breakdown of short- to long-term trend alignment. 🔵Key Features: Multi-Timeframe EMA Dashboard: ➣ Displays a table in the top-right corner showing trend direction across 5 user-defined timeframes. ➣ Each row shows whether ema is rising or falling its corresponding EMA for that timeframe. ➣ Green arrows (🢁) indicate uptrends, purple arrows (🢃) signal downtrends. Custom Timeframe Selection: ➣ Traders can input any 5 timeframes (e.g., 1h, 2h, 3h, etc.) with individual EMA lengths for flexible trend mapping. ➣ The tool auto-adjusts to match and align external timeframe EMAs to the current chart for seamless overlay. Dynamic Chart Arrows: ➣ On-chart arrows mark when EMA rising or falling EMAs from the current chart timeframe. ➣ Each EMA arrows has a unique transparency level—shorter EMA arrows are more transparent, longer EMA arrows are more vivid. (Hover Mouse over the arrow to see which EMAs it is) Gradient EMA Plotting: ➣ All five EMAs are plotted with gradually increasing opacity. ➣ Gradient fills between EMAs enhance visual structure, making it easier to track convergence/divergence. 🔵Usage: Trend Confirmation: Use the dashboard to confirm multi-timeframe trend alignment before entering trades. Entry Filtering: Avoid countertrend trades by spotting when higher timeframes disagree with the current one. Momentum Insight: Track the transition of arrows from lighter to stronger opacity to visualize trend shifts over time. Scalping or Swinging: Customize timeframes depending on your strategy—from intraday scalps to longer-term swings. Multi-Timeframe Trend Analysis is the ultimate visual companion for traders who want clarity on how price behaves across multiple time horizons. With its smart EMA mapping and dashboard feedback, it keeps you aligned with dominant trend directions and transition zones at all times.
Pine Script® 인디케이터
BigBeluga의
10
Clean Signal StrategyVersion: Pine Script v6 Type: Trend-Following Strategy Best Used On: Intraday and Swing Timeframes Built For: Clear, actionable buy/sell signals with visual lines for entries, targets, and stop loss. Strategy Overview The Clean Signal Strategy is designed to provide traders with crystal-clear buy/sell signals while reducing chart noise. It combines reliable indicators like EMA, VWAP, MACD, and ATR to identify high-probability trend-based trades. The strategy runs in the background, only showing actionable signals when all conditions align, making it beginner-friendly and visually clean. Indicators Used EMA 9 & EMA 20 – Determines short-term momentum and trend direction. VWAP (Volume-Weighted Average Price) – Confirms institutional interest and value area. MACD Histogram – Confirms momentum direction. Previous Day’s High/Low – Validates breakout or breakdown conditions. ATR (14) – Used to set dynamic stop loss and targets. ✅ Buy Signal Criteria A Buy signal is triggered when: Price is above EMA 9, EMA 20, and VWAP MACD Histogram is positive (momentum bullish) Current price breaks previous day’s high 📍 When a buy signal occurs: Green candle is painted Entry, Stop Loss, and Targets 1-3 lines are drawn Labels appear at the right end of each line ❌ Sell Signal Criteria A Sell signal is triggered when: Price is below EMA 9, EMA 20, and VWAP MACD Histogram is negative (momentum bearish) Current price breaks previous day’s low 📍 When a sell signal occurs: Red candle is painted Entry, Stop Loss, and Targets 1-3 lines are drawn Labels appear at the right end of each line ⏸️ Neutral/Sideways Zones If conditions for neither buy nor sell are met, the chart paints gray candles. This helps traders avoid false entries and stay disciplined. 📋 On-Chart Signal Table The strategy includes a floating table showing: Current signal: Buy, Sell, or Neutral Explanation of the signal based on indicator conditions Real-time values of all key indicators: EMA9, EMA20, VWAP, MACD Hist, ATR, and previous high/low This makes it easy to understand why a signal was triggered. 🎯 Target and Stop Loss Logic Stop Loss: 1× ATR from entry Target 1: 1× ATR Target 2: 2× ATR Target 3: 3× ATR 📌 Highlights Clear visual lines and labels for easy understanding No clutter — all signals and analysis are background-powered Strong risk-reward based on volatility Best used in trending markets or after consolidation breaks These levels adjust dynamically based on market volatility, offering flexible trade management. ⚠️ Disclaimer This strategy is for educational purposes only. Always do your own research before trading or investing.
Pine Script™ 전략
krishnarajedakkutty의
OHCL HTF Trend Levels🚀 OHCL HTF Trend Levels — Master the Market’s Hidden Currents Crafted by @TIMELESS1_ | 🔍 Overview Tired of chasing candles and second-guessing trends? Step into a new level of clarity with OHCL HTF Trend Levels — a smart, adaptive trend-mapping indicator that extracts powerful insight from higher-timeframe OHCL data and projects it with precision onto your lower-timeframe chart.. Whether you’re a scalper looking for sniper entries or a swing trader who lives by the HTF narrative, this tool gives you a strategic edge by aligning your trades with the true direction of momentum. 🎯 What This Script Does 🔹 HTF Trend Zones: Automatically identifies bullish and bearish continuations using higher-timeframe Open, High, Close, and Low values — and plots key levels where price shows true directional intent. 🔹 Session-Aware Logic: Resets and recalculates trend state daily (or based on your chosen HTF), ensuring fresh, relevant signals that don’t lag or drift. 🔹 Dynamic Trend Detection: Tracks when price breaks beyond the previous session’s highs or lows with sustained momentum — then confirms the trend with multi-condition validation. If a breakout fails? It smartly invalidates the trend and keeps your chart clean. 🔹 Real-Time EMA with Color Coding: An adaptive EMA plotted directly on your chart, with dynamic color changes based on trend direction — bullish, bearish, or neutral — for instant visual feedback. 🔹 Customizable Buy/Sell Signals: Optional, clean Buy/Sell labels are printed when trend shifts are confirmed, helping you catch pivots early without cluttering your view. 🔹 Take Profit Flags (Optional): When a trend neutralizes, the script can print "TP" flags to let you know it's time to secure profits or prepare for a potential reversal. 🎨 Fully Customizable 🛠️ Calculation Timeframe (HTF): Set your own higher timeframe (e.g., 4H, 1D, 1W) for OHCL analysis. 🖍️ Color & Style Settings: Choose your colors for bullish, bearish, and neutral states — customize line width, signal label styles, and text. 📏 Baseline Length Control: Adjust how far horizontal trend levels extend into the future. 📡 Signal Toggle: Turn Buy/Sell and TP labels on/off to suit your strategy or visual preference. 📊 Use Cases ✅ Intraday Traders: See where the daily momentum is breaking, even on a 15-minute chart. ✅ Swing Traders: Align lower-timeframe entries with daily or weekly breakouts. ✅ Trend Followers: Ride clean, confirmed moves without second-guessing false starts. ✅ Price Action Purists: Strip away noise and trade based on clean levels and raw momentum. ✅ Scalpers: Use trend shifts for laser-sharp entry zones backed by HTF context. 🌐 Why It Works Most indicators are reactive — they lag behind price and fail to show the broader context. This script flips that dynamic by borrowing the strength of higher timeframes and compressing it into real-time insights. Instead of drawing lines manually or guessing trend direction, you get: Visual breakout levels with built-in validation Instant awareness of when a trend starts, continues, or fails A clearer roadmap for entries, exits, and key price zones 📌 Final Thoughts This isn’t just another indicator — it’s a framework for disciplined trading. It encourages patience, precision, and perspective. With a visual layout that respects your screen space and logic rooted in true price action, OHCL HTF Trend Levels brings serious firepower to any strategy. Whether you’re day trading volatility or riding macro swings, this script gives you the structure you need and the simplicity you want. 💬 Drop it on your chart. Let the levels guide you. Trade with purpose. Trend smarter. Trade harder. Stay timeless. ✊📈
Pine Script® 인디케이터
TIMELESS1_의
50/200 EMA Scalping StratejisiThis Pine Script is the Trading View version of the strategy you saw on the webpage. The core components of the strategy are: 1. **50 EMA and 200 EMA Tracking**: The moving averages that form the foundation of the strategy. 2. **Crossover Detection**: The 50 EMA crossing above the 200 EMA (long position) or crossing below the 200 EMA (short position). 3. **Price Retest**: After the crossover, the price touches the 200 EMA and reacts. 4. **Confirmation Candle**: A confirmatory candle formation after the price test (green candle with close above 200 EMA for long positions, red candle with close below 200 EMA for short positions). 5. **Stop Loss**: Automatic stop loss levels at 0.10% below/above the entry price. 6. **ATR and ADX Indicators**: Technical indicators that measure volatility and trend strength. 7. **Visual Markers**: Clear visual signals for crossovers, retest points, and confirmed entry signals. 8. **Dynamic Table**: An information table displaying current status, price, and indicator values. The script also automatically shows the recommended leverage level based on the cryptocurrency (8x for BTC/ETH, 5x for others).
Pine Script® 인디케이터
ozgurkok의