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อินดิเคเตอร์และกลยุทธ์

Cumulative Price AverageThe Cumulative Price Average (CPA) indicator calculates and plots the overall average of candlestick prices, providing a smoothed representation of the market's long-term price trend. This is achieved by aggregating the averages of each candle (Open, High, Low, Close) and dynamically updating the overall average as new candles are added. Key Features Long-Term Price Perspective: Displays the cumulative average of all candles from the start of the chart. Trend Visualization: Smooths out short-term price fluctuations to highlight the overall trend. Dynamic Updates: The average adjusts with each new bar for real-time analysis. Usage Trend Analysis: Identify long-term bullish or bearish trends by observing the slope of the CPA line. Support/Resistance: The CPA line can act as a dynamic support or resistance level for the price. Price Comparison: Compare the current price to the CPA to assess whether the market is overbought or oversold relative to its historical average. This indicator is especially useful for traders seeking to incorporate a historical perspective into their analysis, providing insights into the broader market behavior beyond short-term volatility.
อินดิเคเตอร์ Pine Script™
โดย Ishan-Ravindu
Three Candle Breakout Marker**Title: Three Candle Breakout Marker** **Description:** The **Three Candle Breakout Marker** is a powerful trading indicator designed for traders who want to identify significant price movements based on recent price action. This script marks candles that break above the highest high or below the lowest low of the previous three candles, providing clear visual signals for potential trading opportunities. ### Key Features: - **Visual Indicators**: The indicator uses upward blue triangles to signify when a candle closes above the highest high of the last three candles, indicating a bullish breakout. Conversely, it uses downward orange triangles to mark when a candle closes below the lowest low of the last three candles, signaling a bearish breakout. - **Customizable Alerts**: Traders can easily customize this indicator to suit their trading strategies by adjusting colors and sizes for better visibility on their charts. - **Enhanced Chart Analysis**: With optional horizontal lines drawn at the breakout levels, traders can quickly assess key support and resistance areas, enhancing their decision-making process. ### How to Use: 1. **Add to Chart**: Simply add the indicator to your TradingView chart for any asset or timeframe you are analyzing. 2. **Identify Breakouts**: Look for blue triangles above candles for bullish breakout signals and orange triangles below candles for bearish breakout signals. 3. **Combine with Other Tools**: Use this indicator in conjunction with other technical analysis tools and indicators to confirm signals and improve your trading strategy. ### Conclusion: The **Three Candle Breakout Marker** is an essential tool for traders looking to capitalize on momentum shifts in the market. By clearly marking breakout points, it helps traders make informed decisions and enhances their ability to react swiftly to changing market conditions. Feel free to explore and customize this indicator to fit your trading style! Happy trading!
อินดิเคเตอร์ Pine Script™
โดย loaderelite
MA Trend FollThe script I provided is a general Moving Average crossover strategy that can be applied to various financial instruments, including cryptocurrencies. However, keep in mind that different cryptocurrencies have unique characteristics, such as volatility, trading volume, and market sentiment. Therefore, the script's performance may vary depending on the specific coin you're trading. Here are some factors to consider when applying the script to different coins: 1. Volatility: Coins with high volatility may require adjustments to the MA lengths or additional risk management strategies. 2. Liquidity: Coins with low trading volume may result in false signals or poor execution. 3. Market sentiment: Coins with strong bullish or bearish trends may require adjustments to the script's parameters or additional indicators to confirm signals. To improve the script's performance across various coins, you may consider: 1. Optimizing MA lengths: Experiment with different MA lengths to find the optimal settings for each coin. 2. Adding additional indicators: Incorporate other indicators, such as RSI, Bollinger Bands, or MACD, to confirm signals and improve accuracy. 3. Implementing risk management: Set stop-losses, take-profits, and position sizing to manage risk and maximize returns. Remember, no single strategy works perfectly for all coins and market conditions. Continuously monitor and adapt your strategy to optimize its performance. make description for that Here is a description for the Moving Average Trend Follower strategy: Moving Average Trend Follower A simple and effective trend-following strategy based on the crossover of two moving averages. Strategy Overview - Uses two moving averages (50-period and 200-period) to determine the trend - Generates buy signals when the short MA crosses above the long MA - Generates sell signals when the short MA crosses below the long MA - Suitable for various cryptocurrencies and timeframes Key Features - Easy to use and understand - Can be applied to different markets and timeframes - Provides clear buy and sell signals Trading Suggestions - Use on higher timeframes (e.g., 1h, 4h, D) for more reliable signals - Combine with other indicators (e.g., RSI, Bollinger Bands) for improved accuracy - Set stop-losses and take-profits to manage risk and maximize returns
อินดิเคเตอร์ Pine Script™
โดย bokyazmatik
Neuro RSI by W.ARITASThe Neuro RSI by W.ARITAS is an advanced and adaptive RSI indicator, tailored for traders seeking precision and innovation in technical analysis. This cutting-edge tool combines the power of traditional RSI calculations with modern technologies like machine learning (LSTM), quantum-inspired algorithms, and advanced filtering techniques such as Kalman filtering and Jurik smoothing. Unlike standard RSI indicators, Neuro RSI introduces a visually appealing color dimension to aid traders in identifying significant market opportunities. The intuitive color palette enhances interpretability: Red or reddish tones signify a strong overbought state, indicating potential corrections. Blue-to-purple tones highlight a mid-state, often associated with consolidation. Green and yellow tones indicate an oversold state, suggesting a possible market reversal. This adaptive approach dynamically adjusts to market conditions and translates insights into an easy-to-read color-coded representation. Key Features Machine Learning Integration (LSTM): Refines oscillator predictions using LSTM neural networks. Provides adaptive feedback and dynamic signal adjustments based on live market data. Quantum-Inspired Calculations: Leverages Fibonacci-based weighting, wavelet transforms, and amplitude modulation. Generates a refined Probability RSI (PRSI) cloud to visualize market volatility and momentum. Advanced Filtering Techniques: Kalman filtering reduces noise for clearer signals. Jurik smoothing ensures stable and responsive trend analysis. Dynamic Adaptation: Reacts to changes in market volatility and sensitivity thresholds. Fully customizable to suit diverse trading strategies and instruments. Intuitive Visualization: Gradient-filled RSI and PRSI clouds make trend identification effortless. Clearly defined overbought/oversold boundaries with color fills for quick decision-making. How to Use Trading Signals: Utilize the PRSI curve and RSI Cloud to identify overbought/oversold levels and momentum shifts.Rely on gradient colors to visually interpret the strength of market states. Customizable Inputs: Adjust smoothing, oscillator frequency, and sensitivity thresholds for specific trading setups. Advanced users can fine-tune machine learning parameters, including LSTM learning rate, units, and wavelet bands. Risk Management: Integrate the Neuro RSI with your trading strategy to confirm entry/exit points. Leverage built-in support and resistance levels to enhance risk assessment. Inputs General Settings: Source: Select the data input (e.g., volume, close price). Smoothing Length: Adjust the level of curve smoothing. Algorithm Settings: Dynamic sensitivity, oscillator frequency, and Kalman filter parameters for deeper customization. ML Model Settings: Configure LSTM learning rate, units, and wavelet bands for precision optimization.
อินดิเคเตอร์ Pine Script™
โดย insidermike
Intraday Futures Strategy with Filters//@version=5 indicator("Intraday Futures Strategy with Filters", overlay=true) // === Параметры индикатора === // Скользящие средние shortEmaLength = input.int(9, title="Короткая EMA", minval=1) longEmaLength = input.int(21, title="Длинная EMA", minval=1) // RSI rsiLength = input.int(14, title="Период RSI", minval=1) rsiThreshold = input.int(50, title="RSI Threshold", minval=1, maxval=100) // ATR (волатильность) atrLength = input.int(14, title="Период ATR") atrMultiplier = input.float(1.0, title="ATR Multiplier", minval=0.1, step=0.1) // Долгосрочный тренд trendEmaLength = input.int(200, title="EMA для фильтра тренда", minval=1) // Временные рамки startHour = input.int(9, title="Час начала торговли", minval=0, maxval=23) startMinute = input.int(0, title="Минута начала торговли", minval=0, maxval=59) endHour = input.int(16, title="Час конца торговли", minval=0, maxval=23) endMinute = input.int(0, title="Минута конца торговли", minval=0, maxval=59) // Получаем текущие час и минуту currentHour = hour(time) currentMinute = minute(time) // Проверка временного фильтра timeFilter = (currentHour > startHour or (currentHour == startHour and currentMinute >= startMinute)) and (currentHour < endHour or (currentHour == endHour and currentMinute <= endMinute)) // === Вычисления === // Скользящие средние shortEma = ta.ema(close, shortEmaLength) longEma = ta.ema(close, longEmaLength) trendEma = ta.ema(close, trendEmaLength) // RSI rsi = ta.rsi(close, rsiLength) // ATR atr = ta.atr(atrLength) // Сигналы пересечения EMA bullishCrossover = ta.crossover(shortEma, longEma) // Короткая EMA пересекает длинную вверх bearishCrossover = ta.crossunder(shortEma, longEma) // Короткая EMA пересекает длинную вниз // Фильтры: // 1. Трендовый фильтр: цена должна быть выше/ниже 200 EMA longTrendFilter = close > trendEma shortTrendFilter = close < trendEma // 2. RSI фильтр longRsiFilter = rsi > rsiThreshold shortRsiFilter = rsi < rsiThreshold // 3. Волатильность ATR: текущий диапазон должен быть больше заданного значения atrFilter = (high - low) > atr * atrMultiplier // Общие сигналы на покупку/продажу buySignal = bullishCrossover and longTrendFilter and longRsiFilter and atrFilter and timeFilter sellSignal = bearishCrossover and shortTrendFilter and shortRsiFilter and atrFilter and timeFilter // === Графические элементы === // Отображение EMA на графике plot(shortEma, color=color.blue, linewidth=2, title="Короткая EMA") plot(longEma, color=color.orange, linewidth=2, title="Длинная EMA") plot(trendEma, color=color.purple, linewidth=2, title="EMA для тренда (200)") // Сигналы на графике plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // Фон для сигналов bgcolor(buySignal ? color.new(color.green, 90) : sellSignal ? color.new(color.red, 90) : na, title="Signal Background")
อินดิเคเตอร์ Pine Script™
โดย dovganenkob
PDF-MA Supertrend [BackQuant]PDF-MA Supertrend The PDF-MA Supertrend combines the innovative Probability Density Function (PDF) smoothing with the widely popular Supertrend methodology, creating a robust tool for identifying trends and generating actionable trading signals. This indicator is designed to provide precise entries and exits by dynamically adapting to market volatility while visualizing long and short opportunities directly on the chart. Core Feature: PDF Smoothing At the foundation of this indicator is the PDF smoothing technique, which applies a Probability Density Function to calculate a smoothed moving average. This method allows the indicator to assign adaptive weights to data points, making it responsive to market changes without overreacting to short-term volatility. Key parameters include: Variance: Controls the spread of the PDF weighting. A smaller variance results in sharper responses, while a larger variance smooths out the curve. Mean: Shifts the PDF’s center, allowing traders to tweak how weights are distributed around the data points. Smoothing Method: Offers the choice between EMA (Exponential Moving Average) and SMA (Simple Moving Average) for blending the PDF-smoothed data with traditional moving average methods. By combining these parameters, the PDF smoothing creates a moving average that effectively captures underlying trends. Supertrend: Adaptive Trend and Volatility Tracking The Supertrend is a well-known volatility-based indicator that dynamically adjusts to market conditions using the ATR (Average True Range). In this script, the PDF-smoothed moving average acts as the price input, making the Supertrend calculation more adaptive and precise. Key Supertrend Features: ATR Period: Determines the lookback period for calculating market volatility. Factor: Multiplies the ATR to set the distance between the Supertrend and the price. A higher factor creates wider bands, filtering out smaller price movements, while a lower factor captures tighter trends. Dynamic Direction: The Supertrend flips its direction based on price interactions with the calculated upper and lower bands: Uptrend : When the price is above the Supertrend, the direction turns bullish. Downtrend : When the price is below the Supertrend, the direction turns bearish. This combination of PDF smoothing and Supertrend calculation ensures that trends are detected with greater accuracy, while volatility filters out market noise. Long and Short Signal Generation The PDF-MA Supertrend generates actionable trading signals by detecting transitions in the trend direction: Long Signal (𝕃): Triggered when the trend transitions from bearish to bullish. This is visually represented with a green triangle below the price bars. Short Signal (𝕊): Triggered when the trend transitions from bullish to bearish. This is marked with a red triangle above the price bars. These signals provide traders with clear entry and exit points, ensuring they can capitalize on emerging trends while avoiding false signals. Customizable Visualization Options The indicator offers a range of visualization settings to help traders interpret the data with ease: Show Supertrend: Option to toggle the visibility of the Supertrend line. Candle Coloring: Automatically colors candlesticks based on the trend direction: Green for long trends. Red for short trends. Long and Short Signals (𝕃 + 𝕊): Displays long (𝕃) and short (𝕊) signals directly on the chart for quick identification of trade opportunities. Line Color Customization: Allows users to customize the colors for long and short trends. Alert Conditions To ensure traders never miss an opportunity, the PDF-MA Supertrend includes built-in alerts for trend changes: Long Signal Alert: Notifies when a bullish trend is identified. Short Signal Alert: Notifies when a bearish trend is identified. These alerts can be configured for real-time notifications via SMS, email, or push notifications, making it easier to stay updated on market movements. Suggested Parameter Adjustments The indicator’s effectiveness can be fine-tuned using the following guidelines: Variance: For low-volatility assets (e.g., indices): Use a smaller variance (1.0–1.5) for smoother trends. For high-volatility assets (e.g., cryptocurrencies): Use a larger variance (1.5–2.0) to better capture rapid price changes. ATR Factor: A higher factor (e.g., 2.0) is better suited for long-term trend-following strategies. A lower factor (e.g., 1.5) captures shorter-term trends. Smoothing Period: Shorter periods provide more reactive signals but may increase noise. Longer periods offer stability and better alignment with significant trends. Experimentation is encouraged to find the optimal settings for specific assets and trading strategies. Trading Applications The PDF-MA Supertrend is a versatile indicator suited to a variety of trading approaches: Trend Following : Use the Supertrend line and signals to follow market trends and ride sustained price movements. Reversal Trading : Spot potential trend reversals as the Supertrend flips direction. Volatility Analysis : Adjust the ATR factor to filter out minor price fluctuations or capture sharp movements. Final Thoughts The PDF-MA Supertrend combines the precision of Probability Density Function smoothing with the adaptability of the Supertrend methodology, offering traders a powerful tool for identifying trends and volatility. With its customizable parameters, actionable signals, and built-in alerts, this indicator is an excellent choice for traders seeking a robust and reliable system for trend detection and entry/exit timing. As always, backtesting and incorporating this indicator into a broader strategy are recommended for optimal results.
อินดิเคเตอร์ Pine Script™
โดย BackQuant
Radial Basis Kernal ATR [BackQuant]Radial Basis Kernel ATR The Radial Basis Kernel ATR is a trading indicator that combines the classic Average True Range (ATR) with advanced Radial Basis Function (RBF) kernel smoothing . This innovative approach creates a highly adaptive and precise tool for detecting volatility, identifying trends, and providing dynamic support and resistance levels. With its configurable parameters and ability to adjust to market conditions, this indicator offers traders a robust framework for making informed decisions across various assets and timeframes. Key Feature: Radial Basis Function Kernel Smoothing The Radial Basis Function (RBF) kernel is at the heart of this indicator, applying sophisticated mathematical techniques to smooth price data and calculate an enhanced version of ATR. By weighting data points dynamically, the RBF kernel ensures that recent price movements are given appropriate emphasis without overreacting to short-term noise. The RBF kernel uses a gamma factor to control the degree of smoothing, making it highly adaptable to different asset classes and market conditions: Gamma Factor Adjustment : For low-volatility data (e.g., indices), a smaller gamma (0.05–0.1) ensures smoother trends and avoids overly sharp responses. For high-volatility data (e.g., cryptocurrencies), a larger gamma (0.1–0.2) captures the increased price fluctuations while maintaining stability. Experimentation is Key : Traders are encouraged to backtest and visually compare different gamma values to find the optimal setting for their specific asset and strategy. The gamma factor dynamically adjusts based on the variance of the source data, ensuring the indicator remains effective across a wide range of market conditions. Average True Range (ATR) with Dynamic Bands The ATR is a widely used volatility measure that captures the degree of price movement over a specific period. This indicator enhances the traditional ATR by integrating the RBF kernel, resulting in a smoothed and adaptive ATR calculation. Dynamic bands are created around the RBF kernel output using a user-defined ATR factor , offering valuable insights into potential support and resistance zones. These bands expand and contract based on market volatility, providing a visual representation of potential price movement. Moving Average Confluence For additional confirmation, the indicator includes the option to overlay a moving average on the smoothed ATR. Traders can choose from several moving average types, such as EMA , SMA , or Hull , and adjust the lookback period to suit their strategy. This feature helps identify broader trends and potential confluence areas, making the indicator even more versatile. Long and Short Trend Detection The indicator provides long and short signals based on the directional movement of the smoothed ATR: Long Signal : Triggered when the ATR crosses above its previous value, indicating bullish momentum. Short Signal : Triggered when the ATR crosses below its previous value, signaling bearish momentum. These trend signals are visually highlighted on the chart with green and red bar coloring (optional), providing clear and actionable insights. Customization Options The Radial Basis Kernel ATR offers extensive customization options, allowing traders to tailor the indicator to their preferences: RBF Kernel Settings Source : Select the price data (e.g., close, high, low) used for the kernel calculation. Kernel Length : Define the lookback period for the RBF kernel, controlling the smoothing effect. Gamma Factor : Adjust the smoothing sensitivity, with smaller values for smoother trends and larger values for responsiveness. ATR Settings ATR Period : Set the period for ATR calculation, with shorter periods capturing more short-term volatility and longer periods providing a broader view. ATR Factor : Adjust the scaling of ATR bands for dynamic support and resistance levels. Confluence Settings Moving Average Type : Choose from various moving average types for additional trend confirmation. Moving Average Period : Define the lookback period for the moving average overlay. Visualization Trend Coloring : Enable or disable bar coloring based on trend direction (green for long, red for short). Background Highlighting : Add optional background shading to emphasize long and short trends visually. Line Width : Customize the thickness of the plotted ATR line for better visibility. Alerts and Automation To help traders stay on top of market movements, the indicator includes built-in alerts for trend changes: Kernel ATR Trend Up : Triggered when the ATR indicates a bullish trend. Kernel ATR Trend Down : Triggered when the ATR signals a bearish trend. These alerts ensure traders never miss important opportunities, providing timely notifications directly to their preferred device. Suggested Gamma Values The effectiveness of the gamma factor depends on the asset type and the selected kernel length: Low Volatility Assets (e.g., indices): Use a smaller gamma factor (approximately 0.05–0.1) for smoother trends. High Volatility Assets (e.g., crypto): Use a larger gamma factor (approximately 0.1–0.2) to capture sharper price movements. Experimentation : Fine-tune the gamma factor using backtests or visual comparisons to optimize for specific assets and strategies. Trading Applications The Radial Basis Kernel ATR is a versatile tool suitable for various trading styles and strategies: Trend Following : Use the smoothed ATR and dynamic bands to identify and follow trends with confidence. Reversal Trading : Spot potential reversals by observing interactions with dynamic ATR bands and moving average confluence. Volatility Analysis : Analyze market volatility to adjust risk management strategies or position sizing. Final Thoughts The Radial Basis Kernel ATR combines advanced mathematical techniques with the practical utility of ATR, offering traders a powerful and adaptive tool for volatility analysis and trend detection. Its ability to dynamically adjust to market conditions through the RBF kernel and gamma factor makes it a unique and indispensable part of any trader's toolkit. By combining sophisticated smoothing , dynamic bands , and customizable visualization , this indicator enhances the ability to read market conditions and make more informed trading decisions. As always, backtesting and incorporating it into a broader strategy are recommended for optimal results.
อินดิเคเตอร์ Pine Script™
โดย BackQuant
HH, HL, LH, LL Detector with Horizontal Support/ResistanceLabels for HH, HL, LH, LL: The labels for Higher High (HH), Higher Low (HL), Lower High (LH), and Lower Low (LL) are displayed only on the last bar where the condition was met (bar_index). Horizontal Lines for Support and Resistance: Horizontal lines are drawn at the last detected support (low) and resistance (high) levels. The lines extend across the chart until a new level is detected.
อินดิเคเตอร์ Pine Script™
โดย sc4rf4c3_al
Gufran - Volume DivergenceThis indicator detects bullish and bearish divergences by analyzing price action, volume trends, and RSI (Relative Strength Index) for added confirmation. It highlights key market reversals or trend continuations by identifying when price movement diverges from volume dynamics, providing traders with actionable insights for entry and exit points. Key Features: Divergence Detection: Bullish Divergence: Price makes a lower low, but volume shows higher lows, signaling potential upward reversals. Bearish Divergence: Price makes a higher high, but volume shows lower highs, signaling potential downward reversals. RSI Confirmation: Bullish Signals: Confirmed when RSI is in the oversold zone. Bearish Signals: Confirmed when RSI is in the overbought zone (optional relaxation of RSI conditions available). Normalized Volume Analysis: Volume is scaled to the price range, ensuring clear and meaningful visualization alongside price action. Customizable Parameters: Lookback Period: Define how far back the script looks to identify divergences. Volume Significance: Adjust the threshold for significant volume movements. RSI Levels: Fine-tune overbought and oversold thresholds for optimal signal accuracy. Gap Control: Avoid clutter by setting a minimum number of candles between successive divergence signals. Clear Visual Representation: Bullish Divergence: Marked with green labels and connecting lines. Bearish Divergence: Marked with red labels and connecting lines. Dotted lines show normalized volume divergence, while solid lines indicate price divergence. Ideal For: Traders who rely on volume dynamics to validate price movements. Those looking for an added layer of confidence using RSI to filter false signals. Swing and intraday traders aiming to identify market reversal zones or continuation patterns. Customization Options: Lookback Period: Adjustable range for detecting highs and lows. Volume Threshold: Define the multiplier for significant volume changes. RSI Settings: Tailor overbought/oversold levels to suit your trading style. Relax RSI Condition: Toggle stricter or more flexible conditions for bearish divergences. How to Use: Add the indicator to your chart and configure the parameters to fit the asset and timeframe you are trading. Look for: Green “Bullish Div” labels near price lows for potential buying opportunities. Red “Bearish Div” labels near price highs for potential selling opportunities. Use this indicator in combination with other tools like support/resistance levels, trendlines, or moving averages for a comprehensive trading strategy. Disclaimer: This indicator is a tool for educational purposes and should not be used as a standalone trading signal. Always conduct proper risk management and consider additional technical/fundamental analysis before making trading decisions.
อินดิเคเตอร์ Pine Script™
โดย gufran
Stochastic HistogramStochastic Histogram (Stoch-H) This indicator visualizes the difference between the %K and %D lines of the stochastic oscillator as a histogram. The histogram bars are color-coded for easy interpretation: - Green bars indicate positive values (%K is greater than %D). - Red bars indicate negative values (%K is less than %D). This tool is designed to help traders identify potential trend shifts and overbought/oversold conditions at a glance. Customize the %K, %D, and smoothing periods to fit your trading strategy. Perfect for traders seeking a straightforward, visual representation of stochastic momentum.
อินดิเคเตอร์ Pine Script™
โดย Kiminawer
Stochastic Histogram - Mikel VaqueroStochastic Histogram (Stoch-H) This indicator visualizes the difference between the %K and %D lines of the stochastic oscillator as a histogram. The histogram bars are color-coded for easy interpretation: Green bars indicate positive values (%K is greater than %D). Red bars indicate negative values (%K is less than %D). This tool is designed to help traders identify potential trend shifts and overbought/oversold conditions at a glance. Customize the %K, %D, and smoothing periods to fit your trading strategy. Perfect for traders seeking a straightforward, visual representation of stochastic momentum.
อินดิเคเตอร์ Pine Script™
โดย Kiminawer