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VWAP SlopePositive (green) bars mean today’s (or this interval’s) VWAP is higher than the prior one → volume‐weighted average price is drifting up → bullish flow. Negative (red) bars mean VWAP is lower than before → volume is skewed to sellers → bearish flow. Bar height shows how much VWAP has shifted, so taller bars = stronger conviction. Why it’s useful: It gives you a real-time read on whether institutions are consistently buying at higher prices or selling at lower prices. Use it as a bias filter: for shorts you want to see red bars (VWAP down-slope) at your entry, and for longs green bars (VWAP up-slope). Because it updates tick-by-tick (or per bar), you get a live snapshot of volume-weighted momentum on top of your price‐action and oscillator signals.
Pine Script®指標
由ahmedfarhatx22提供
Repeating Trend HighlighterThis custom indicator helps you see when the current price trend is similar to a past trend over the same number of candles. Think of it like checking whether the market is repeating itself. You choose three settings: • Lookback Period: This is how many candles you want to measure. For example, if you set it to 10, it looks at the price change over the last 10 bars. • Offset Bars Ago: This tells the indicator how far back in time to look for a similar move. If you set it to 50, it compares the current move to what happened 50 bars earlier. • Tolerance (%): This is how closely the moves must match to be considered similar. A smaller number means you only get a signal if the moves are almost the same, while a larger number allows more flexibility. When the current price move is close enough to the past move you picked, the background of your chart turns light green. This makes it easy to spot repeating trends without studying numbers manually. You’ll also see two lines under your chart if you enable them: a blue line showing the percentage change of the current move and an orange line showing the change in the past move. These help you compare visually. This tool is useful in several ways. You can use it to confirm your trading setups, for example if you suspect that a strong rally or pullback is happening again. You can also use it to filter trades by combining it with other indicators, so you only enter when trends repeat. Many traders use it as a learning tool, experimenting with different lookback periods and offsets to understand how often similar moves happen. If you are a scalper working on short timeframes, you can set the lookback to a small number like 3–5 bars. Swing traders who prefer daily or weekly charts might use longer lookbacks like 20–30 bars. Keep in mind that this indicator doesn’t guarantee price will move the same way again—it only shows similarity in how price changed over time. It works best when you use it together with other signals or market context. In short, it’s like having a simple spotlight that tells you: “This move looks a lot like what happened before.” You can then decide if you want to act on that information. If you’d like, I can help you tweak the settings or combine it with alerts so it notifies you when these patterns appear.
Pine Script®指標
由SupertradeOfficial提供
EVaR Indicator and Position SizingThe Problem: Financial markets consistently show "fat-tailed" distributions where extreme events occur with higher frequency than predicted by normal distributions (Gaussian or even log-normal). These fat tails manifest in sudden price crashes, volatility spikes, and black swan events that traditional risk measures like volatility can underestimate. Standard deviation and conventional VaR calculations assume normally distributed returns, leaving traders vulnerable to severe drawdowns during market stress. Cryptocurrencies and volatile instruments display particularly pronounced fat-tailed behavior, with extreme moves occurring 5-10 times more frequently than normal distribution models would predict. This reality demands a more sophisticated approach to risk measurement and position sizing. The Solution: Entropic Value at Risk (EVAR) EVaR addresses these limitations by incorporating principles from statistical mechanics and information theory through Tsallis entropy. This advanced approach captures the non-linear dependencies and power-law distributions characteristic of real financial markets. Entropy is more adaptive than standard deviations and volatility measures. I was inspired to create this indicator after reading the paper " The End of Mean-Variance? Tsallis Entropy Revolutionises Portfolio Optimisation in Cryptocurrencies " by by Sana Gaied Chortane and Kamel Naoui. Key advantages of EVAR over traditional risk measures: Superior tail risk capture: More accurately quantifies the probability of extreme market moves Adaptability to market regimes: Self-calibrates to changing volatility environments Non-parametric flexibility: Makes less assumptions about the underlying return distribution Forward-looking risk assessment: Better anticipates potential market changes (just look at the charts :) Mathematically, EVAR is defined as: EVAR_α(X) = inf_{z>0} {z * log(1/α * M_X(1/z))} Where the moment-generating function is calculated using q-exponentials rather than conventional exponentials, allowing precise modeling of fat-tailed behavior. Technical Implementation This indicator implements EVAR through a q-exponential approach from Tsallis statistics: Returns Calculation: Price returns are calculated over the lookback period Moment Generating Function: Approximated using q-exponentials to account for fat tails EVAR Computation: Derived from the MGF and confidence parameter Normalization: Scaled to for intuitive visualization Position Sizing: Inversely modulated based on normalized EVAR The q-parameter controls tail sensitivity—higher values (1.5-2.0) increase the weighting of extreme events in the calculation, making the model more conservative during potentially turbulent conditions. Indicator Components 1. EVAR Risk Visualization Dynamic EVAR Plot: Color-coded from red to green normalized risk measurement (0-1) Risk Thresholds: Reference lines at 0.3, 0.5, and 0.7 delineating risk zones 2. Position Sizing Matrix Risk Assessment: Current risk level and raw EVAR value Position Recommendations: Percentage allocation, dollar value, and quantity Stop Parameters: Mathematically derived stop price with percentage distance Drawdown Projection: Maximum theoretical loss if stop is triggered Interpretation and Application The normalized EVAR reading provides a probabilistic risk assessment: < 0.3: Low risk environment with minimal tail concerns 0.3-0.5: Moderate risk with standard tail behavior 0.5-0.7: Elevated risk with increased probability of significant moves > 0.7: High risk environment with substantial tail risk present Position sizing is automatically calculated using an inverse relationship to EVAR, contracting during high-risk periods and expanding during low-risk conditions. This is a counter-cyclical approach that ensures consistent risk exposure across varying market regimes, especially when the market is hyped or overheated. Parameter Optimization For optimal risk assessment across market conditions: Lookback Period: Determines the historical window for risk calculation Q Parameter: Controls tail sensitivity (higher values increase conservatism) Confidence Level: Sets the statistical threshold for risk assessment For cryptocurrencies and highly volatile instruments, a q-parameter between 1.5-2.0 typically provides the most accurate risk assessment because it helps capturing the fat-tailed behavior characteristic of these markets. You can also increase the q-parameter for more conservative approaches. Practical Applications Adaptive Risk Management: Quantify and respond to changing tail risk conditions Volatility-Normalized Positioning: Maintain consistent exposure across market regimes Black Swan Detection: Early identification of potential extreme market conditions Portfolio Construction: Apply consistent risk-based sizing across diverse instruments This indicator is my own approach to entropy-based risk measures as an alterative to volatility and standard deviations and it helps with fat-tailed markets. Enjoy!
Pine Script®指標
由HenriqueCentieiro提供
4
Stochastic Money Flow IndexThe Stochastic Money Flow Index (or Stochastic MFI ), is a variation of the classic Stochastic RSI that uses the Money Flow Index (MFI) rather than the Relative Strength Index (RSI) in its calculation. While the RSI focuses solely on price momentum, the MFI is a volume-weighted indicator, meaning it incorporates both price and volume data. The Stochastic MFI is intended to provide a more precise and sensitive reading of the MFI by measuring the level of the MFI relative to its range over a specific period. Settings Stochastic Settings %K Length : The number of periods used to calculate the Stochastic. (Default: 14) %K Smoothing : The SMA length used to 'smooth' the %K line. (Default: 3) %D Smoothing : The SMA length used to 'smooth' the %D line. (Default: 1) Money Flow Index Settings MFI Length : The number of periods used to calculate the Money Flow Index. (Default: 14) MFI Source : The source used to calculate the Money Flow Index. (Default: close) Additional Settings Show Overbought/Oversold Gradients? : Toggle the display of overbought/oversold gradients. (Default: true)
Pine Script®指標
由iambrennanwalsh提供
Bollinger Bands ±2σ & ±3σBollinger Band 2 & 3 standard deviation, clubbed together, so that you can take trade on BKP & BKT. // This Pine Script plots Bollinger Bands with both ±2σ and ±3σ levels for enhanced volatility analysis. // Users can customize the moving average type, length, and standard deviation multipliers directly in the settings. // The indicator overlays a shaded ±2σ region and semi-transparent ±3σ bands to highlight extreme price movements.
Pine Script®指標
由SwastikPrakash提供
VDN2 - SuperTrend + ADX + Stochastic StrategySuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Pine Script®策略
由vidinozyer提供
SuperTrend + ADX + Stochastic Stratejisi SuperTrend + ADX + Stochastic Overview:
A trend-following and momentum-confirmation strategy using SuperTrend, ADX (>20 filter), and Stochastic oscillator. Optimized for Gold (XAUUSD) on the 10-minute chart. Backtest Highlights (Last 1 Week): Win Rate: 83.3% (5 out of 6 trades) Net Profit: +56.35 USD (1 contract size) Avg Trade Duration: ~58 bars (~9.6 hours) Max Drawdown: 16.65 USD Avg Win: 9.24 USD, Avg Loss: 0.82 USD Largest Single Profit: 23.28 USD Profit Factor: ~11.27 Core Logic: Enter Long when: * SuperTrend is bullish * ADX > 20 * Stochastic %K > %D and %K < 80 Enter Short when: * SuperTrend is bearish * ADX > 20 * Stochastic %K < %D and %K > 20 No fixed TP/SL. Positions closed on signal reversal.
Pine Script®策略
由vidinozyer提供
VDN1 - T3 Tilson + IFT + ATRThis strategy combines three powerful indicators to create a high-quality and low-noise trading system: 🔹 T3 Tilson: Serves as the main trend indicator. It reacts smoothly to market direction changes while reducing noise. 🔹 Inverse Fisher Transform of RSI: A momentum filter that sharpens the signal precision. Only trades in the direction of positive or negative momentum. 🔹 ATR Filter: Avoids entries during low volatility (sideways) periods. Ensures the market is active enough before executing trades. Core Logic: * Long Entry: T3 Tilson rising + IFT(RSI) > 0 + ATR > threshold * Short Entry: T3 Tilson falling + IFT(RSI) < 0 + ATR > threshold * All trades use a fixed size of 1 unit for consistent risk evaluation. Performance Notes: * Works exceptionally well on index futures (e.g., NAS100, US30, GER40) * Shows low drawdown and high profit factor (PF > 3) on those assets * Also performs decently on XAUUSD, even with only \~32% win rate — thanks to favorable risk/reward * BTC and ETH may require modified versions due to higher volatility and whipsaws This is a master version — clean, unoptimized, and stable. Use this as a core engine to build and test enhanced versions (e.g., with TP/SL, dynamic filters, etc.) Happy testing and trading!
Pine Script®策略
由vidinozyer提供
EVWAPThis indicator plots two Volume-Weighted Average Price (VWAP) lines anchored to earnings events: EVWAP (Earnings Day): Resets VWAP on the day of the earnings release. EVWAP (Post-Earnings Day): Resets VWAP on the first trading day after earnings. These earnings-based VWAPs help identify average price zones impacted by earnings, providing insight into post-earnings support/resistance and potential trend shifts. Works on all timeframes. Useful for traders analyzing price reactions around earnings reports.
Pine Script®指標
由SelfUnmade提供
1
Enhanced RSI Divergence StrategyCore Strategy Logic 1. Higher Timeframe (HTF) Context Purpose: Align with the dominant trend (e.g., "bullish made new highs"). Tools: Price action (breakouts, key support/resistance levels). Trend confirmation (e.g., 50EMA on 1H/4H charts). 2. Lower Timeframe (LTF) Entry Triggers Momentum Breakdown (Short Example): Signal: Price makes "high of the day" + reversal candlestick (e.g., bearish engulfing). Confirmation: RSI divergence or volume spike. Support Reversion (Long/Short): Signal: False breakout (e.g., "faked bullish breakout and reversed"). Confirmation: Wick rejection at HTF support/resistance. 3. Trade Execution Entry: On 5-minute close after trigger. Stop Loss (SL): Current: Fixed ticks (e.g., 7-13 pts) → Issue: Too tight for US100 volatility. Improved: 1.5x ATR(14) or beyond recent swing high/low. Take Profit (TP): Current: Fixed price levels (e.g., 21523). Improved: Tiered exits (50% at 1:1 RR, trail rest). 4. Position Sizing Fixed contracts (e.g., 10 per trade). Better Approach: Risk 1-2% of capital per trade (adjust size based on SL distance). Key Strengths HTF+LTF Alignment: Avoids counter-trend traps by trading in HTF direction. Flexibility: Adapts to momentum and mean-reversion setups. Journaling: Tracks emotions/mistakes (critical for improvement).
Pine Script®策略
由mexyeso提供
Range Bar Gaps DetectorRange Bar Gaps Detector Overview The Range Bar Gaps Detector identifies price gaps across multiple range bar sizes (12, 24, 60, and 120) on any trading instrument, helping traders spot potential support/resistance zones or breakout opportunities. Designed for Pine Script v6, this indicator detects gaps on range bars and exports data for use in companion scripts like Range Bar Gaps Overlap, making it ideal for multi-timeframe gap analysis. Key Features Multi-Range Gap Detection: Identifies gaps on 12, 24, 60, and 120-range bars, capturing both bullish (gap up) and bearish (gap down) price movements. Customizable Sensitivity: Includes a user-defined minimum deviation (default: 10% of 14-period SMA) for 12-range gaps to filter out noise. 7-Day Lookback: Automatically prunes gaps older than 7 days to focus on recent, relevant price levels. Data Export: Serializes up to 10 gaps per range (tops, bottoms, start bars, highest/lowest prices, and age) for seamless integration with overlap analysis scripts. Debugging Support: Plots gap counts and aggregation data in the Data Window for easy verification of detected gaps. How It Works The indicator aggregates price movements to simulate higher range bars (24, 60, 120) from a base range bar chart. It detects gaps when the price jumps significantly between bars, ensuring gaps meet the minimum deviation threshold for 12-range bars. Gaps are stored in arrays, serialized for external use, and pruned after 7 days to maintain efficiency. Usage Add to your range bar chart (e.g., 12-range) to detect gaps across multiple ranges. Use alongside the Range Bar Gaps Overlap indicator to visualize gaps and their overlaps as boxes on the chart. Check the Data Window to confirm gap counts and sizes for each range (12, 24, 60, 120). Adjust the "Minimal Deviation (%) for 12-Range" input to control gap detection sensitivity. Settings Minimal Deviation (%) for 12-Range: Set the minimum gap size for 12-range bars (default: 10% of 14-period SMA). Range Sizes: Fixed at 24, 60, and 120 for higher range bar aggregation. Notes Ensure the script is published under your TradingView username (e.g., GreenArrow2005) for use with companion scripts. Best used on range bar charts to maintain consistent gap detection. For advanced overlap analysis, pair with the Range Bar Gaps Overlap indicator to highlight zones where gaps from different ranges align. Ideal For Traders seeking to identify key price levels for support/resistance or breakout strategies. Multi-timeframe analysts combining gap data across various range bar sizes. Developers building custom indicators that leverage gap data for advanced charting.
Pine Script®指標
由GreenArrow2005提供
H turnoverTrading Value refers to the total monetary amount of all transactions for a particular stock or the entire market over a specific period. It is calculated by multiplying the trading volume (the number of shares traded) by the price at which they were traded. For example, if 10,000 shares of a stock are traded in a day at an average price of 50,000 KRW, the trading value for that day would be 500,000,000 KRW. Key points about trading value: Market Activity and Liquidity: A high trading value indicates an active and liquid market. Flow of Investment Funds: Increasing trading value suggests more money is flowing into the market or a particular stock. Relationship with Price Movements: When both trading value and price rise together, it often signals strong buying interest. Conversely, significant price changes with low trading value may be less reliable. Market Sentiment Indicator: Changes in trading value can reflect shifts in investor interest and sentiment. In summary, trading value is the total amount of money exchanged in trades and serves as an important indicator of market activity, liquidity, and investor sentiment.
Pine Script®指標
由qrdkob提供
H BollingerBollinger Bands are a widely used technical analysis indicator that helps spot relative price highs and lows. The tool comprises three lines: a central band representing the 20-period simple moving average (SMA), and upper and lower bands usually placed two standard deviations above and below the SMA. These bands adjust with market volatility, offering insights into price fluctuations and trading conditions. How this indicator works Bollinger Bands helps traders assess price volatility and potential price reversals. They consist of three bands: the middle band, the upper band, and the lower band. Here's how Bollinger Bands work: Middle band: This is typically a simple moving average (SMA) of the asset's price over a specified period. The most common period used is 20 days. Upper band: This is calculated by adding a specified number of standard deviations to the middle band. The standard deviation measures the asset's price volatility. Commonly, two standard deviations are added to the middle band. Lower band: Similar to the upper band, it is calculated by subtracting a specified number of standard deviations from the middle band. What do Bollinger Bands tell you? Bollinger bands primarily indicate the level of market volatility and trading opportunities. Narrow bands indicate low market volatility, while wide bands suggest high market volatility. Bollinger bands indicators can be used by traders to assess potential buy or sell signals. For instance, a sell signal may be interpreted or generated if the asset’s price moves closer or crosses the upper band, as it may indicate that the asset is overbought. Alternatively, a buy signal may be interpreted or generated if the price moves closer to the lower band, as it may signify that the asset is oversold. However, traders should be cautious when using Bollinger Bands as standalone indicators when making trading decisions. Experienced traders refrain from confirming signals based on one indicator. Instead, they generally combine various technical indicators and fundamental analysis methods to make informed trading decisions. Basing trading decisions on only one indicator can result in misinterpretation of signals and heavy losses. Bollinger Bands assist in identifying whether prices are relatively high or low. They are applied as a pair—upper and lower bands—alongside a moving average. However, these bands are not designed to be used in isolation. Instead, they should be used to validate signals generated by other technical indicators. Calculation of Bollinger Band
Pine Script®指標
由qrdkob提供
Auto-Length Anchored Multiple EMA (Hour-Based)# Auto-Length Anchored Multiple EMA (Hour-Based) ## Overview This advanced EMA indicator automatically calculates Exponential Moving Average lengths based on the time elapsed since user-defined anchor dates. Unlike traditional fixed-length EMAs, this indicator dynamically adjusts EMA periods based on actual trading hours, making it ideal for event-based analysis and time-sensitive trading strategies. ## Key Features ### 🎯 **Dual Mode Operation** - **Auto Mode**: EMA length automatically calculated from anchor date to current time - **Manual Mode**: Traditional fixed-length EMA calculation - Switch between modes independently for each EMA ### 📊 **Multiple EMA Support** - Up to 4 independent EMAs with individual configurations - Each EMA can have its own anchor date and settings - Individual enable/disable controls for each EMA ### ⏰ **Smart Time Calculation** - Accounts for actual trading hours (customizable) - Weekend exclusion with Saturday trading option (for markets like NSE/BSE) - Hour multiplier for fine-tuning EMA sensitivity - Minimum EMA length protection to prevent calculation errors ### 🎨 **Visual Enhancements** - **Dynamic Fill Colors**: Fill between EMA1 and EMA3 changes color based on price position - **Customizable Colors**: Individual color settings for each EMA - **Anchor Visualization**: Optional vertical lines and labels at anchor dates - **Real-time Table**: Shows current EMA lengths, modes, and values ## Configuration Options ### Trading Session Settings - **Trading Hours Per Day**: Set your market's trading hours (1-24) - **Trading Days Per Week**: Configure for different markets (5 for Mon-Fri, 6 for Mon-Sat) - **Include Saturday**: Enable for markets that trade on Saturday - **Hour Multiplier**: Fine-tune EMA sensitivity (0.1x to 10x) ### EMA Configuration - **Anchor Dates**: Set specific start dates for each EMA calculation - **Manual Lengths**: Override with traditional fixed periods when needed - **Enable/Disable**: Individual control for each EMA - **Color Customization**: Personalize appearance for each EMA ### Visual Options - **Fill Settings**: Toggle and customize fill colors between EMAs - **Anchor Lines**: Show vertical lines at anchor dates - **Anchor Labels**: Display formatted anchor date information - **Length Table**: Real-time display of current EMA parameters ## Use Cases ### 📈 **Event-Based Analysis** - Anchor EMAs to earnings announcements, policy decisions, or market events - Track price behavior relative to specific time periods - Analyze momentum changes from key market catalysts ### 🕐 **Time-Sensitive Trading** - Perfect for intraday strategies where timing is crucial - Automatically adjusts to market hours and trading sessions - Eliminates manual EMA length recalculation ### 🌍 **Multi-Market Support** - Configurable for different global markets - Saturday trading support for Asian markets - Flexible trading hour settings ## Technical Details ### Calculation Method The indicator calculates trading bars elapsed since anchor date using: ``` Total Trading Bars = (Days Since Anchor × Trading Days Per Week ÷ 7) × Trading Hours Per Day × Hour Multiplier ``` ### EMA Formula Uses standard EMA calculation with dynamically calculated alpha: ``` Alpha = 2 ÷ (Current Length + 1) EMA = Alpha × Current Price + (1 - Alpha) × Previous EMA ``` ### Weekend Handling - Automatically excludes weekends from calculation - Optional Saturday inclusion for specific markets - Accurate trading day counting ## Installation & Setup 1. **Add to Chart**: Apply the indicator to your desired timeframe 2. **Set Anchor Dates**: Configure anchor dates for each EMA you want to use 3. **Adjust Trading Hours**: Set your market's trading session parameters 4. **Customize Appearance**: Choose colors and visual options 5. **Enable Features**: Turn on fills, anchor lines, and information table as needed ## Best Practices - **Anchor Selection**: Choose significant market events or technical breakouts as anchor points - **Multiple Timeframes**: Use different anchor dates for short, medium, and long-term analysis - **Hour Multiplier**: Start with 1.0 and adjust based on market volatility and your trading style - **Visual Clarity**: Use contrasting colors for different EMAs to improve readability ## Compatibility - **Pine Script Version**: v6 - **Chart Types**: All chart types supported - **Timeframes**: Works on all timeframes (optimal on intraday charts) - **Markets**: Suitable for stocks, forex, crypto, and commodities ## Notes - Indicator starts calculation from the anchor date forward - Minimum EMA length prevents calculation errors with very recent anchor dates - Table display updates in real-time showing current EMA parameters - Fill colors dynamically change based on price position relative to EMA1 --- *This indicator is perfect for traders who want to combine the power of EMAs with event-driven analysis and precise time-based calculations.*
Pine Script®指標
由shivkumar503244提供
Enhanced Gann Time-Price SquaresEnhanced Gann Time-Price Squares Indicator A comprehensive Pine Script indicator that identifies and visualizes W.D. Gann's time-price square formations on your charts. This tool helps traders spot potential market turning points where time and price movements align according to Gann's legendary market theories. Key Features: Automatic Square Detection - Identifies completed squares where price movement equals time movement Future Projections - Shows forming squares with projected completion points Pivot Integration - Automatically detects pivot highs/lows as square starting points Visual Clarity - Clean box outlines with customizable colors and styles Smart Filtering - Prevents overlapping squares and includes minimum move thresholds Real-time Status - Information table showing current square formations How to Use: The indicator draws boxes when price moves from pivot points equal the time elapsed (number of bars). Green squares indicate upward movements, red squares show downward movements. Dashed lines show forming squares, while dotted lines project where they might complete. Settings: Adjust pivot sensitivity and minimum price moves Customize tolerance for time-price matching Toggle projections, labels, and visual elements Fine-tune colors and line styles Perfect for Gann theory practitioners and traders looking for time-based market analysis. The squares often coincide with significant support/resistance levels and potential reversal points. Compatible with all timeframes and instruments. More updates to follow
Pine Script®指標
由TimePriceDecoder提供
Weekly Volume USDT## Description This Pine Script indicator displays the trading volume for each day of the current week (Monday through Sunday) in a clean table format on your TradingView chart. The volume is calculated in USDT equivalent and displayed in the top-right corner of the chart. ## Features - **Weekly Volume Breakdown**: Shows individual daily volumes from Monday to Sunday - **USDT Conversion**: Automatically converts volume to USDT using the average price (open + close / 2) - **Smart Formatting**: - Large numbers are formatted with K (thousands) and M (millions) suffixes - Example: 1,234,567 → 1.23M USDT - **Clean Table Display**: Fixed position table in the top-right corner - **Current Week Focus**: Displays volumes for the current week only - **Future Days Handling**: Days that haven't occurred yet in the current week show as "-" ## How It Works 1. The indicator calculates the average price for each day using (Open + Close) / 2 2. Multiplies the daily volume by the average price to get USDT-equivalent volume 3. Displays the results in an easy-to-read table format ## Use Cases - **Volume Analysis**: Quickly identify which days of the week have the highest trading activity - **Pattern Recognition**: Spot weekly volume patterns and trends - **Trading Decisions**: Use volume information to inform your trading strategies - **Market Activity Monitoring**: Keep track of market participation throughout the week ## Installation Simply add this indicator to your TradingView chart and it will automatically display the weekly volume table in the top-right corner. ## Tags #volume #weekly #USDT #table #analysis #trading #cryptocurrency
Pine Script®指標
由nooptr提供
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment: Market Momentum (30% weight) Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA). A higher value indicates that the market is trading well above its moving average, signaling greed. Stock Price Strength (20% weight) Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE. A greater number of net highs suggests strong market breadth and greed. Put/Call Options (30% weight) Uses the 5-day average of the put/call ratio. A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices. Market Volatility (20% weight) Utilizes the VIX index, which measures market volatility. Lower volatility is associated with greed, as investors are less fearful of large market swings. Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100: 0–25: Extreme Fear (red) 25–50: Fear (orange) 50–75: Neutral (yellow) 75–100: Greed (green) Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone. Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed. How to Interpret Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound. High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction. Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy. This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
Pine Script®指標
由dunesisland提供