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อินดิเคเตอร์และกลยุทธ์

[COG]Adaptive Volatility Bands# Adaptive Volatility Bands (AVB) Indicator Guide for Traders ## Special Acknowledgment 🙌 This script is inspired by and builds upon the foundational work of **DonovanWall**, a respected contributor to the trading community. His innovative approach to adaptive indicators has been instrumental in developing this advanced trading tool. ## What is the Adaptive Volatility Bands Indicator? The Adaptive Volatility Bands (AVB) is a sophisticated technical analysis tool designed to help traders understand market dynamics by creating dynamic, responsive price channels that adapt to changing market conditions. Unlike traditional static indicators, this script uses advanced mathematical techniques to create flexible bands that adjust to market volatility in real-time. ## Key Features and Inputs ### 1. Price and Filtering Options - **Price Source**: Determines the base price used for calculations (default is HLC3 - Average of High, Low, and Close) - **Filter Poles**: Controls the smoothness of the indicator (1-9 poles) - Lower values: More responsive, more noise - Higher values: Smoother, but slower to react ### 2. Volatility and Band Settings - **Sample Length**: Determines how many bars are used to calculate volatility (default 144) - **Volatility Multiplier**: Adjusts the width of the main bands (default 1.414) - **Outer Band Multiplier**: Controls the width of the outer bands (default 2.5) - **Inner Band Ratio**: Positions the inner bands between the center and outer bands (default 0.25) ### 3. Advanced Processing Options - **Lag Reduction Mode**: Helps reduce indicator delay - **Fast Response Mode**: Makes the indicator more responsive to recent price changes ### 4. Signal and Visualization Options - **Show Entry Signals**: Displays buy and sell signals - **Signal Display Style**: Choose between labels or shapes - **Range Filter**: Adds an additional filter for signal validation ## How the Indicator Works The Adaptive Volatility Bands create a dynamic price channel with three key components: 1. **Center Line**: Represents the core trend direction 2. **Inner Bands**: Closer to the center line 3. **Outer Bands**: Wider bands that show broader price potential ### Color Dynamics - The indicator uses a smart color gradient system - Colors change based on price position within the bands - Helps visualize bullish (green/blue) and bearish (red) market conditions ## Trading Strategies for Beginners ### Basic Entry Signals - **Buy Signal**: - Price touches the center line from below - Candle is bullish (closes higher than it opens) - Price is above the center line - Trend is upward - **Sell Signal**: - Price touches the center line from above - Candle is bearish (closes lower than it opens) - Price is below the center line - Trend is downward ### Risk Management Tips 1. Use the bands to identify: - Potential trend changes - Volatility levels - Support and resistance areas 2. Combine with other indicators for confirmation 3. Always use stop-loss orders 4. Adjust parameters to match your trading style and asset ## When to Use This Indicator Best suited for: - Trending markets - Swing trading - Identifying potential entry and exit points - Understanding market volatility ### Recommended Markets - Stocks - Forex - Cryptocurrencies - Futures ## Customization The script offers extensive customization: - Adjust smoothness - Change band multipliers - Modify color schemes - Enable/disable features like lag reduction ## Important Considerations for Beginners 🚨 **Disclaimer**: - No indicator guarantees profits - Always practice with a demo account first - Learn and understand the indicator before live trading - Market conditions change, so continually adapt your strategy ## Getting Started 1. Add the script to your TradingView chart 2. Experiment with different settings 3. Backtest on historical data 4. Start with small positions 5. Continuously learn and improve Happy Trading! 📈🔍
อินดิเคเตอร์ Pine Script®
โดย CognitiveAlpha
1
AI Trend Momentum SniperThe AI Trend Momentum Sniper is a powerful technical analysis tool designed for day trading. This strategy combines multiple momentum and trend indicators to identify high-probability entry and exit points. The indicator utilizes a combination of Supertrend, MACD, RSI, ATR (Average True Range), and On-Balance Volume (OBV) to generate real-time signals for buy and sell opportunities. Key Features: Supertrend for detecting market direction (bullish or bearish). MACD for momentum confirmation, highlighting changes in market momentum. RSI to filter out overbought/oversold conditions and ensure high-quality trades. ATR as a volatility filter to adjust for changing market conditions. OBV (On-Balance Volume) to confirm volume strength and trend validity. Dynamic Stop-Loss & Take-Profit based on ATR to manage risk and lock profits. This indicator is tailored for intraday traders looking for quick market moves, especially in volatile and high liquidity assets like Bitcoin (BTC) and Ethereum (ETH). It helps traders capture short-term trends with efficient risk management tools. How to Apply: Set Your Chart: Apply the AI Trend Momentum Sniper to a 5-minute (M5) or 15-minute (M15) chart for optimal performance. Buy Signal: When the indicator generates a green arrow below the bar, it indicates a buy signal based on positive trend and momentum alignment. Sell Signal: A red arrow above the bar signals a sell condition when the trend and momentum shift bearish. Stop-Loss and Take-Profit: The indicator automatically calculates dynamic stop-loss and take-profit levels based on the ATR value for each trade, ensuring proper risk management. Alerts: Set up custom alerts for buy or sell signals, and get notified instantly when opportunities arise. Best Markets for Use: BTC/USDT, ETH/USDT – High liquidity and volatility. Major altcoins with sufficient volume. Avoid using it on low-liquidity assets where price action may become erratic. Timeframes: This indicator is best suited for lower timeframes (5-minute to 15-minute charts) to capture quick price movements in trending markets.
อินดิเคเตอร์ Pine Script®
โดย crypto_zil
1
Dow Theory Trend StrategyDow Theory Trend Strategy (Pine Script) Overview This Pine Script implements a trading strategy based on the core principles of Dow Theory. It visually identifies trends (uptrend, downtrend) by analyzing pivot highs and lows and executes trades when the trend direction changes. This script is an improved version that features refined trend determination logic and strategy implementation. Core Concept: Dow Theory The script uses a fundamental Dow Theory concept for trend identification: Uptrend: Characterized by a series of Higher Highs (HH) and Higher Lows (HL). Downtrend: Characterized by a series of Lower Highs (LH) and Lower Lows (LL). How it Works Pivot Point Detection: It uses the built-in ta.pivothigh() and ta.pivotlow() functions to identify significant swing points (potential highs and lows) in the price action. The pivotLookback input determines the number of bars to the left and right required to confirm a pivot. Note that this introduces a natural lag (equal to pivotLookback bars) before a pivot is confirmed. Improved Trend Determination: The script stores the last two confirmed pivot highs and the last two confirmed pivot lows. An Uptrend (trendDirection = 1) is confirmed only when the latest pivot high is higher than the previous one (HH) AND the latest pivot low is higher than the previous one (HL). A Downtrend (trendDirection = -1) is confirmed only when the latest pivot high is lower than the previous one (LH) AND the latest pivot low is lower than the previous one (LL). Key Improvement: If neither a clear uptrend nor a clear downtrend is confirmed based on the latest pivots, the script maintains the previous trend state (trendDirection := trendDirection ). This differs from simpler implementations that might switch to a neutral/range state (e.g., trendDirection = 0) more frequently. This approach aims for smoother trend following, acknowledging that trends often persist through periods without immediate new HH/HL or LH/LL confirmations. Trend Change Detection: The script monitors changes in the trendDirection variable. changedToUp becomes true when the trend shifts to an Uptrend (from Downtrend or initial state). changedToDown becomes true when the trend shifts to a Downtrend (from Uptrend or initial state). Visualizations Background Color: The chart background is colored to reflect the currently identified trend: Blue: Uptrend (trendDirection == 1) Red: Downtrend (trendDirection == -1) Gray: Initial state or undetermined (trendDirection == 0) Pivot Points (Optional): Small triangles (shape.triangledown/shape.triangleup) can be displayed above pivot highs and below pivot lows if showPivotPoints is enabled. Trend Change Signals (Optional): Labels ("▲ UP" / "▼ DOWN") can be displayed when a trend change is confirmed (changedToUp / changedToDown) if showTrendChange is enabled. These visually mark the potential entry points for the strategy. Strategy Logic Entry Conditions: Enters a long position (strategy.long) using strategy.entry("L", ...) when changedToUp becomes true. Enters a short position (strategy.short) using strategy.entry("S", ...) when changedToDown becomes true. Position Management: The script uses strategy.entry(), which automatically handles position reversal. If the strategy is long and a short signal occurs, strategy.entry() will close the long position and open a new short one (and vice-versa). Inputs pivotLookback: The number of bars on each side to confirm a pivot high/low. Higher values mean pivots are confirmed later but may be more significant. showPivotPoints: Toggle visibility of pivot point markers. showTrendChange: Toggle visibility of the trend change labels ("▲ UP" / "▼ DOWN"). Key Improvements from Original Smoother Trend Logic: The trend state persists unless a confirmed reversal pattern (opposite HH/HL or LH/LL) occurs, reducing potential whipsaws in choppy markets compared to logic that frequently resets to neutral. Strategy Implementation: Converted from a pure indicator to a strategy capable of executing backtests and potentially live trades based on the Dow Theory trend changes. Disclaimer Dow Theory signals are inherently lagging due to the nature of pivot confirmation. The effectiveness of the strategy depends heavily on the market conditions and the chosen pivotLookback setting. This script serves as a basic template. Always perform thorough backtesting and implement proper risk management (e.g., stop-loss, take-profit, position sizing) before considering any live trading.
กลยุทธ์ Pine Script®
โดย Salaryman_G
Granular MA Ribbon🎗️ The Granular MA Ribbon provides a structured view of price action on lower timeframes by incorporating both price-based and volume-weighted moving averages, offering a more nuanced view of market trends and momentum shifts. Furthermore, by using 15-minute intervals for its calculations, it ensures that intraday traders receive a smooth and responsive representation of higher timeframe trends. ⚠️ Note that this indicator is specifically optimized for the 15-minute and 1-hour charts; applying it to longer or shorter periods will distort its calculations and reduce its effectiveness. Adjust visibility settings accordingly. 🧰 Unlike traditional moving averages that may lag or fail to reflect real-time shifts in price dynamics, the Granular MA Ribbon includes a one-day exponential moving average (1D EMA), a one-day volume-weighted moving average (1D VWMA), and a one-week exponential moving average (1W EMA). Together, these elements allow traders to stay aligned with the broader market while making precise intraday trading decisions. 🤷🏻 Why Two Daily Moving Averages? 🔊 Instead of relying on a single moving average, this indicator uses both an EMA and a VWMA to provide a clearer picture of price movement. The EMA reacts quickly to price changes, making it a useful tool for identifying short-term momentum shifts. The VWMA, meanwhile, accounts for volume, ensuring that price movements supported by higher trading activity carry greater weight in the trend calculation. 💪🏻 When the EMA and VWMA diverge significantly, it signals strong momentum. If they begin to converge, it suggests that momentum is weakening or that price may be entering consolidation. The space between these two moving averages is filled with a ribbon, making it easier to see shifts in trend strength. A wide ribbon typically indicates strong momentum, while a narrowing ribbon suggests the trend may be losing steam. 🧮 Calculation Rationale 🔎 The 1D EMA and 1D VWMA are constructed using 15-minute blocks to maintain accuracy on lower timeframes. A full trading day consists of 96 fifteen-minute intervals. Instead of relying on daily candle data, which would reduce the granularity of the moving averages, this method allows the indicator to reflect intra-day trends more accurately. By breaking the day into smaller increments, the moving averages adapt more smoothly to changes in price and volume, making them more reliable for traders working on shorter timeframes. 🔍 The weekly EMA follows the same logic, adjusting based on the selected five-day or seven-day setting. If the market follows a standard five-day trading week, the one-week EMA is calculated using 480 fifteen-minute bars. If the market trades seven days a week, such as in crypto, the weekly EMA is adjusted accordingly to reflect 672 fifteen-minute bars. This setting ensures that traders using the indicator across different asset classes receive accurate trend information. 🫤 Sideways Markets 🔄 When the broader market is in a range-bound state, with no clear trend on the one-day or one-week chart, this indicator helps traders make sense of the short-term price structure. In these conditions, the ribbon will often appear flat, with the 1D EMA and 1D VWMA frequently crossing each other. This suggests that momentum is weak and that price action lacks a strong directional bias. ⚠️ A narrowing ribbon in a sideways market indicates reduced volatility and a potential breakout. If the EMA crosses above the VWMA during consolidation, it may signal a short-term upward move, especially if volume begins to increase. Conversely, if the EMA moves below the VWMA, it could indicate that selling pressure is increasing. However, in choppy conditions, crossovers alone are not enough to confirm a trade. Traders should wait for additional confirmation, such as a breakout from a defined range or a shift in volume. ♭ If the weekly EMA remains flat while the daily ribbon fluctuates, it confirms that the market lacks a strong trend. In such cases, traders may consider fading moves near the top and bottom of a range rather than expecting sustained breakouts. 💹 Trending Markets 🏗️ When the market is in a strong uptrend or downtrend, the ribbon takes on a more structured shape. A widening ribbon that slopes upward signals strong bullish momentum, with price consistently respecting the 1D EMA and VWMA as support. In a downtrend, the ribbon slopes downward, acting as dynamic resistance. 📈 In trending conditions, traders can use the ribbon to time pullback entries. In an uptrend, price often retraces to the VWMA before resuming its upward move. If price holds above both the EMA and VWMA, the trend remains strong. If price begins to close below the VWMA but remains above the EMA, it suggests weakening momentum but not necessarily a reversal. A clean break below both moving averages indicates a shift in trend structure. 📊 The one-week EMA serves as a higher timeframe guide. When price remains above the weekly EMA, it confirms that the broader trend is intact. If price pulls back to the weekly EMA and bounces, it can provide a high-confidence trade entry. Conversely, if price breaks below the weekly EMA and fails to reclaim it, it suggests that the trend may be reversing. ⏳ 5-Day and 7-Day Week Variants 🎚️ The setting for a five-day or seven-day trading week adjusts the calculation of the one-week EMA. This ensures that the indicator remains accurate across different asset classes. 5️⃣ A five-day trading week is appropriate for stocks, futures, and forex markets, where trading pauses on weekends. Using a seven-day week for these markets would create artificial distortions by including non-trading days. 7️⃣ In contrast, the seven-day week setting is ideal for crypto markets, which trade continuously. Without this adjustment, the weekly EMA would fail to reflect weekend price action, leading to misleading trend signals. 🧐 This indicator is expressly designed to complement its higher timeframe counterpart, the Triple Differential Moving Average Braid, optimized for the 1-Day chart.
อินดิเคเตอร์ Pine Script®
โดย TheLeadingIndicator
SuperTrend MTF Pro [Cometreon]The SuperTrend MTF Pro takes the classic SuperTrend to a whole new level of customization and accuracy. Unlike the standard version, this indicator allows you to select different moving averages, apply it to various chart types, and fine-tune every key parameter. If you're looking for an advanced, non-repainting, and highly configurable SuperTrend, this is the right choice for you. 🔷 New Features and Improvements 🟩 Multi-MA SuperTrend Now you can customize the SuperTrend calculation by choosing from 15 different moving averages: SMA (Simple Moving Average) EMA (Exponential Moving Average) WMA (Weighted Moving Average) RMA (Smoothed Moving Average) HMA (Hull Moving Average) JMA (Jurik Moving Average) DEMA (Double Exponential Moving Average) TEMA (Triple Exponential Moving Average) LSMA (Least Squares Moving Average) VWMA (Volume-Weighted Moving Average) SMMA (Smoothed Moving Average) KAMA (Kaufman’s Adaptive Moving Average) ALMA (Arnaud Legoux Moving Average) FRAMA (Fractal Adaptive Moving Average) VIDYA (Variable Index Dynamic Average) 🟩 Multiple Chart Types You're no longer limited to candlestick charts! Now you can use SuperTrend with different chart formats, including: Heikin Ashi Renko Kagi Line Break Point & Figure 🟩 Customizable Timeframe Now you can adjust the SuperTrend timeframe without repainting issues, avoiding signal distortions. 🔷 Technical Details and Customizable Inputs SuperTrend offers multiple customization options to fit any trading strategy: 1️⃣ ATR Period – Defines the ATR length, affecting the indicator’s sensitivity. 2️⃣ Source – Selects the price value used for calculations (Close, HL2, Open, etc.). 3️⃣ ATR Mult – Multiplies the ATR to determine band distance. Higher values reduce false signals, lower values make it more reactive. 4️⃣ Change ATR Calculation Method – When enabled, uses the default ATR method; when disabled, allows selecting another Moving Average with "Use Different Type". 5️⃣ Source Break – Defines the price source for trend changes (Close for more stability, High/Low for more reactivity). 6️⃣ Use Different Type – Allows selecting an alternative Moving Average for ATR calculation if "Change ATR Calculation Method" is disabled. 7️⃣ SuperTrend Type – Advanced options for specific MAs (JMA, ALMA, FRAMA, VIDYA), with dedicated parameters like Phase, Sigma, and Offset for optimized responsiveness. 8️⃣ Ticker Settings – Customize parameters for special chart types such as Renko, Heikin Ashi, Kagi, Line Break, and Point & Figure, adjusting reversal, number of lines, and ATR length. 9️⃣ Timeframe – Enables using SuperTrend on a higher timeframe. 🔟 Wait for Timeframe Closes - Enabled ✅ – Prevents multiple signals, useful for precise alerts. Disabled ❌ – Displays SuperTrend smoothly without interruptions. 🔷 How to Use SuperTrend MTF Pro 🔍 Identifying Trends SuperTrend follows the ongoing trend and provides clear visual signals: When the price is above the line, the trend is bullish. When the price is below the line, the trend is bearish. 📈 Interpreting Signals Line color and position change → Possible trend reversal Bounce off the line → Potential trend continuation Strong breakout of the line → Possible reversal 🛠 Integration with Other Tools RSI or MACD to filter false signals Moving Averages to confirm trend direction Support and Resistance to improve entry points ☄️ If you find this indicator useful, leave a Boost to support its development! Every feedback helps to continuously improve the tool, offering an even more effective trading experience. Share your thoughts in the comments! 🚀🔥
อินดิเคเตอร์ Pine Script®
โดย Cometreon
1
Sentiment OscillatorIn the complex world of trading, understanding market sentiment can be like reading the emotional pulse of financial markets. Our Sentiment Oscillator is designed to be your personal market mood translator, helping you navigate through the noise of price movements and market fluctuations. Imagine having a sophisticated tool that goes beyond traditional price charts, diving deep into the underlying dynamics of market behavior. This indicator doesn't just show you numbers – it tells you a story about market sentiment, combining multiple financial signals to give you a comprehensive view of potential market directions. The Sentiment Oscillator acts like a sophisticated emotional barometer for stocks, cryptocurrencies, or any tradable asset. It analyzes price changes, market volatility, trading volume, and long-term trends to generate a unique sentiment score. This score ranges from highly bullish to deeply bearish, providing traders with an intuitive visual representation of market mood. Green zones indicate positive market sentiment, suggesting potential buying opportunities. Red zones signal caution, hinting at possible downward trends. The oscillator's gray neutral zone helps you identify periods of market uncertainty, allowing for more calculated trading decisions. What sets this indicator apart is its ability to blend multiple market factors into a single, easy-to-understand indicator. It's not just about current price – it's about understanding the deeper currents moving beneath the surface of market prices. Traders can use this oscillator to: - Identify potential trend reversals - Understand market sentiment beyond price movement - Spot periods of market strength or weakness - Complement other technical analysis tools Whether you're a day trader, swing trader, or long-term investor, the Sentiment Oscillator provides an additional layer of insight to support your trading strategy. Remember, no indicator is a crystal ball, but this tool can help you make more informed decisions in the dynamic world of trading.
อินดิเคเตอร์ Pine Script®
โดย balaiwarsatyam
US30 1-min Strategy with TP/SL, Grades, Alerts🟢 Grade A (Strongest) • Candle is very large (body is 2x the 20-bar average) • Volume rising • RSI strongly confirms direction (RSI > 55 or < 45) 🟠 Grade B (Moderate) • Candle is large • Volume rising • RSI confirms trend (but not as strong as A) 🟡 Grade C (Weak) • Candle is large • Volume rising or RSI confirms (not both) You can select which grades to trade (A, B, C) from the strategy settings. 💰 Risk Management • Take Profit: Default = 0.5% • Stop Loss: Default = 0.3% TP and SL are applied as percentage of entry price. You can adjust both in the strategy settings. Trade Alerts & Visuals • Labels appear on the chart when a trade is triggered (green for longs, red for shorts, with grade label) • Alerts are sent using the alert() function, which you can link to popups, emails, or mobile notifications via TradingView 🧭 Strategy Use Case This strategy is ideal for: • Scalping US30 during high-volume sessions • Traders who prefer rules-based setups with clear grading and confirmation • Running backtests in TradingView with risk controls and performance analysis
กลยุทธ์ Pine Script®
โดย boutselisp
SENEE Buy Sell Signal Easy to use: Buy signal has appeared >>> open long position Sell signal has appeared >>> open short position Green ext signal has appeared >>> close long position Red ext signal has appeared >>> close short position The colour is an analysis of the trend: Green bars >>> Up trend Red bars >>> Down trend White bars >>> side way Blue bars >>> Overbought Orange bars >>> Oversold How to be setting: Candles period is Calculation range >>> up to you Overbought oversold sensitivity is Sensitivity of calculation of Overbought and Oversold zone Signal sensitivity is Sensitivity of calculation of Buy,Sell and ext signals ///// Good luck /////
อินดิเคเตอร์ Pine Script®
โดย seneetotem789
3
[blackcat] L3 Volatility Ehlers Stochastic CGOOVERVIEW This advanced indicator integrates the Center of Gravity Oscillator (CGO) with an Ehlers-Stochastic framework and an Adaptive Local Minimum-Maximum Average (ALMA) smoothing algorithm. Designed for non-overlaid charts, it identifies market momentum shifts by analyzing price action through multi-layer volatility analysis. FEATURES • Dual-line system: ✓ Stochastic CGO: Core oscillating line derived from weighted OHLC price calculations ✓ ALMA Lagging Line: Smoothing component using customizable offset/sigma parameters • Dynamic color scheme: ✓ Green/red trend differentiation via crossover comparison ✓ Optional fill areas between lines (toggleable) • Clear trade signals: ✓ Buy/Sell labels triggered by mathematically defined crossovers ✓ Zero-reference baseline marker (#0ebb23) • Customizable parameters: Fast Length (9 default) controls CGO sensitivity Slow Length (5 default) governs ALMA responsiveness ALMA Offset/Sigma allow adaptive curve optimization HOW TO USE Configure core parameters: • Adjust Fast Length (CGO timeframe window) • Set Slow Length, ALMA Offset, and Sigma for smoother/laggier response Interpret visuals: • Bullish trend = green shaded zone (when primary line above lagging line) • Bearish trend = red shaded zone (primary line below lagging line) Analyze signals: • Buy triggers occur when rising CGO crosses above ALMA while below zero • Sell triggers activate when falling CGO breaks below ALMA after exceeding zero base Optimize display: ✓ Enable/disable fill area via Fill Between Lines LIMITATIONS • Relies heavily on lookback periods - rapid market changes may reduce predictive accuracy • Signal frequency increases during high-volatility environments • Requires additional confirmation methods due to occasional premature crossovers • Default parameter settings may lack universality across asset classes NOTES • Best paired with volume-based confirmations for stronger signals • Reducing ALMA Sigma sharpens line responsiveness at cost of noise susceptibility • Increasing Fast Length extends calculation horizon while reducing peak sensitivity • Weighted OHLC source formula prioritizes closing prices for swing direction assessment
อินดิเคเตอร์ Pine Script®
โดย blackcat1402
5
Weight Convergence DivergenceWeight Convergence Divergence ⚖️ 1. Introduction The Weight Convergence Divergence (WCD) indicator applies principles of rotational equilibrium from classical physics to financial market analysis. By quantifying market momentum as a physical balance system, this indicator helps traders identify potential price reversals and continuation patterns through the visualization of market forces . 2. Theoretical Grounds 📚 The WCD draws inspiration from the physical concept of rotational equilibrium, where opposing forces create a balance or imbalance in a system (Giancoli, 2016, pp.247–249). In market analysis, this can be translated to the comparative measurement of bullish and bearish momentum (Bouchaud and Potters, 2003) . Lo and MacKinlay (1988) and Corbet and Katsiampa (2018) demonstrate that markets exhibit both mean-reverting and momentum characteristics, supporting the concept of opposing market forces that the WCD seeks to visualize. Bouchaud and Potters (2003) further highlight that principles from statistical physics can be applied to financial markets, providing a theoretical foundation for approaches like we are doing with the WCD. 3. Methodology 🧪 The WCD indicator quantifies market mass through the following approach: Calculates mass by multiplying the candle's body (close-open) with volume mass = body * volume Compares recent market mass (right side) with historical mass (left side) Visualizes the equilibrium point with a dynamic balance line balance_ln Generates signals when the balance shifts buy_signal = ta.crossover(right_mass, 0) and left_mass <= 0 and ly > middle_level sell_signal = ta.crossunder(right_mass, 0) and left_mass >= 0 and ly < middle_level 4. Visual Elements 🎨 Balance Line: A tilting dashed line representing equilibrium between past and present market forces 🟩 Green Boxes: Positive market mass (bullishness) 🟥 Red Boxes: Negative market mass (bearishness) ▲ Buy Signals: When right mass turns positive while left mass is negative ▼ Sell Signals: When right mass turns negative while left mass is positive 5. Integrated Risk Management 🛡️ Automatic stop loss calculation based on Average True Range (ATR) Dynamic profit targets calibrated to user-defined risk-reward ratios Visual position management table to track entries, targets, and stops throughout trade duration 6. Parametrization ⚙️ Distance: Number of bars for mass calculation ATR Length: Period for volatility calculation ATR Factor: Multiplier applied to ATR for stop loss determination Risk-Reward Ratio: Factor used for target calculation 7. Implementation Strategies 📈 7.1. Trend Reversal Strategy (More Risky) 🔄 Identify overextended market conditions Wait for a counter-trend signal Consider the calculated stop loss and take profit 7.2. Momentum Continuation Strategy (Less Risky) ➡️ Identify the prevailing trend Look for multiple signals in the trend direction ( the balance line is not the trend! ) Wait for a second or third signal confirmation Consider the calculated stop loss and take profit 8. Timeframe Flexibility: ⏱️ Lower timeframes (5-15m): Quick signals for scalping Medium timeframes (30m-4h): Balanced for day trading Higher timeframes (Daily+): Reliable signals for swing trading 9. References 📗 Bouchaud, J.-P. and Potters, M. (2003). Theory of Financial Risk and Derivative Pricing. doi: doi.org . Corbet, S. and Katsiampa, P. (2018). Asymmetric mean reversion of Bitcoin price returns. International Review of Financial Analysis. doi: doi.org . Giancoli, D.C. (2016). Physics : Principles with Applications. 7th ed. Harlow: Pearson Education, pp.247–249. Lo, A.W. and MacKinlay, A.C. (1988). Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test. Review of Financial Studies, 1(1), pp.41–66. doi: doi.org . Disclaimer ⚠️ The Weight Convergence Divergence indicator is designed for informational and educational purposes only. Past performance is not necessarily indicative of future results. Traders should conduct thorough analysis and employ proper risk management techniques. This tool does not constitute financial advice and should be used at the user's own discretion.
อินดิเคเตอร์ Pine Script®
โดย A-signals
5
Nasdaq Risk Calculator - DTFXNasdaq Risk Calculator This Pine Script (v5) indicator provides a dashboard-style tool for calculating trading risk based on manually input tick measurements for Nasdaq futures contracts (NQ and MNQ). Designed as an overlay on the main chart, it displays key risk metrics in a fixed-position table, allowing traders to assess contract type, lot size, risk ticks, and actual risk in dollars relative to a user-defined risk amount. Features: Manual Tick Input: Enter the number of ticks (e.g., from a ruler measurement) to define the price range for risk calculation. Risk Calculation: Computes the optimal contract (NQ or MNQ), number of lots, risk ticks (half the input range), and actual risk in dollars, targeting the specified risk amount (default: $100). Customizable Dashboard: Displays results in a single-cell table with a semi-transparent white background and gray border, positioned in one of four chart corners (Top Left, Top Right, Bottom Left, Bottom Right) via user selection. Reset Option: Includes a toggle to clear the dashboard and start anew. How to Use: Add the indicator to your chart (best suited for NQ or MNQ futures). In the settings, input your "Risk Amount ($)" and "Ticks" (e.g., 400 for a 100-point range on NQ). Select the "Dashboard Corner" to position the table. View the calculated risk details in the chosen corner. Adjust inputs or reset as needed. Notes: NQ tick value is $5.00 (NQ_MULTIPLIER = 5.0), and MNQ tick value is $0.50 (MNQ_MULTIPLIER = 0.5). Ideal for traders planning risk based on measured price ranges, such as support/resistance zones.
อินดิเคเตอร์ Pine Script®
โดย OpitaMaster
VCP Pattern with Pocket Pivots by Mark MinerviniBelow is a Pine Script designed to identify and plot Mark Minervini's Volatility Contraction Pattern (VCP) along with Pocket Pivots on TradingView. The VCP is characterized by a series of price contractions (tightening price ranges) with decreasing volume, often followed by a breakout. Pocket Pivots, a concept from Chris Kacher and Gil Morales, identify early buying opportunities within a consolidation or uptrend based on volume surges. This script combines both concepts to help traders spot potential setups.
อินดิเคเตอร์ Pine Script®
โดย ravihls
NHPF (Normalized Hodrick-Prescott Filter)This indicator applies a normalized Hodrick–Prescott filter (NHPF) to Bitcoin’s price data. It separates the underlying trend from short-term cyclical fluctuations by recursively smoothing the price using a user-defined lambda (HP Filter Period). The raw trend is then normalized by calculating a ratio between the trend and the current price, which is scaled and shifted according to subjective parameters (Mean and Scale). The result is a dimensionless value that highlights deviations from the long-term trend—serving as a signal for potential overbought (positive values) or oversold (negative values) market conditions. A zero line provides a clear reference, allowing traders to visually gauge when Bitcoin’s price is significantly above or below its expected trajectory. Feel free to adjust the inputs to best match your analysis preferences.
อินดิเคเตอร์ Pine Script®
โดย dealerof