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[i]price

Volume-Price Momentum IndicatorVolume-Price Momentum Indicator (VPMI) Overview The Volume-Price Momentum Indicator (VPMI), developed by Kevin Svenson , is a powerful technical analysis tool designed to identify strong bullish and bearish momentum in price movements, driven by volume dynamics. By analyzing price changes and volume surges over a user-defined lookback period, VPMI highlights potential trend shifts and continuation patterns through a smoothed histogram, optional labels, and background highlights. Ideal for traders seeking to capture momentum-driven opportunities, VPMI is suitable for various markets, including stocks, forex, and cryptocurrencies. How It Works VPMI calculates the difference between volume-weighted buying and selling pressure based on price changes over a specified lookback period. It amplifies signals during high-volume periods, applies smoothing to reduce noise, and uses momentum checks to detect sustained trends. Indicator display: A histogram that oscillates above (bullish) or below (bearish) a zero line, with brighter colors indicating stronger momentum and faded colors for weaker signals. Optional labels ("Bullish" or "Bearish") to mark significant momentum shifts. Optional background highlights to visually emphasize strong trend conditions. Alerts to notify users when strong bullish or bearish momentum is detected. Key Features Customizable Settings: Adjust the lookback period, volume threshold, momentum length, and smoothing to suit your trading style. Volume Sensitivity: Emphasizes price movements during high-volume surges, enhancing signal reliability. Momentum Detection: Uses linear regression and momentum change to confirm sustained trends, reducing false signals. Visual Clarity: Offers a clear histogram with color-coded signals, plus optional labels and backgrounds for enhanced chart readability. Alerts: Configurable alerts for strong momentum signals, enabling timely trade decisions. Inputs and Customization Lookback Period (Default: 9): Sets the number of bars to analyze price changes. Higher values smooth signals but may lag. Volume Threshold (Default: 1.4): Defines the volume level (relative to a 20-period SMA) that qualifies as a surge, amplifying signals. High Volume Multiplier (Default: 1.5): Boosts histogram values during high-volume periods for stronger signals. Histogram Smoothing Length (Default: 4): Controls the EMA smoothing applied to the histogram, reducing noise. Momentum Check Length (Default: 4): Sets the period for momentum trend analysis (recommended to be less than Lookback Period). Momentum Threshold (Default: 6): Defines the minimum momentum change required for strong signals. Show Labels (Default: Off): Toggle to display "Bullish" or "Bearish" labels on significant momentum shifts. Show Backgrounds (Default: Off): Toggle to highlight chart backgrounds during strong momentum periods. Bullish/Bearish Colors: Customize colors for bullish (default: green) and bearish (default: red) signals. Faded Transparency (Default: 40): Adjusts the transparency of weaker signals for visual distinction. How to Use Interpret Signals: Above Zero (Green): Indicates bullish momentum. Bright green suggests strong, sustained buying pressure. Below Zero (Red): Indicates bearish momentum. Bright red suggests strong, sustained selling pressure. Faded Colors: Weaker momentum, potentially signaling consolidation or trend exhaustion. Enable Visuals: Turn on "Show Labels" and "Show Backgrounds" in the settings for additional context on strong momentum signals. Set Alerts: Use the built-in alert conditions ("Strong Bullish Momentum" or "Strong Bearish Momentum") to receive notifications when significant trends emerge. Combine with Other Tools: Pair VPMI with support/resistance levels, trendlines, or other indicators (e.g., RSI, MACD) for confirmation. Best Practices Timeframe: VPMI works on all timeframes, but shorter timeframes (e.g., 5m, 15m) may produce more signals, while longer timeframes (e.g., 1h, 4h, 1D) offer higher reliability. Market Conditions: Most effective in trending markets. In choppy or sideways markets, consider increasing the smoothing length or momentum threshold to filter noise. Risk Management: Always use VPMI signals in conjunction with a robust trading plan, including stop-losses and position sizing. Limitations Lagging Nature: As a momentum indicator, VPMI may lag in fast-moving markets due to smoothing and lookback calculations. False Signals: In low-volume or ranging markets, signals may be less reliable. Adjust the volume threshold or momentum settings to improve accuracy. Customization Required: Optimal settings vary by asset and timeframe. Experiment with inputs to align with your trading strategy. Why Use VPMI? VPMI offers a unique blend of volume and price momentum analysis, making it a versatile tool for traders seeking to identify high-probability trend opportunities. Its customizable inputs, clear visuals, and alert capabilities empower users to tailor the indicator to their needs, whether for day trading, swing trading, or long-term analysis. Get Started Apply VPMI to your chart, tweak the settings to match your trading style, and start exploring momentum-driven opportunities. For questions or feedback, consult TradingView’s community forums or documentation. Happy trading!
Pine Script® 인디케이터
KevinSvenson_의
10
Multi-Timeframe Price LevelsThis indicator displays key price levels from multiple timeframes on your chart, helping you identify important support and resistance zones. ## Features - **Multiple Timeframes**: View price levels from 4H, Daily, 3-Day, Weekly, and Monthly charts simultaneously - **Customizable Price Types**: Choose to display Open, Close, High, and Low prices - **Color-Coded**: Each timeframe has its own color for easy identification - **Fully Customizable**: Enable/disable specific timeframes and price types as needed ## How to Use 1. Add the indicator to your chart 2. Use the input options to select which timeframes and price types you want to display 3. Look for areas where multiple price levels converge - these often act as strong support/resistance zones ## Color Guide - **Red**: 4-Hour timeframe - **Blue**: Daily timeframe - **Green**: 3-Day timeframe - **Purple**: Weekly timeframe - **Orange**: Monthly timeframe For each timeframe, the transparency varies by price type: - Open: 70% transparency - Close: 50% transparency - High: 30% transparency - Low: 10% transparency (most visible) ## Trading Applications - Identify key support and resistance levels - Spot multi-timeframe confluences for stronger trade setups - Plan entries and exits based on historical price reactions - Set stop losses and take profit targets at significant levels This indicator works best when combined with your existing trading strategy to confirm important price zones.
Pine Script® 인디케이터
AAAAAA2020의
Grid Level Visualizer v1.0Overview This indicator draws a customizable grid of horizontal price levels directly on your chart. It's designed to help traders visualize potential support and resistance zones, manage grid trading strategies, or simply divide a price range into equal segments. The script offers interactive controls, extensive customization options, and alert functionality. Key Features: Customizable Grid: Draws a grid based on user-defined Upper Price Bound and Lower Price Bound. Interactive Bounds: Easily adjust the Upper and Lower bounds by dragging the corresponding lines directly on the chart (click the line first to select, then drag). Bounds can also be set numerically in the settings. Adjustable Levels: Specify the total number of horizontal lines in the grid (Number of Grid Levels), including bounds. Custom Styling: Independently configure the color, width, and style (Solid, Dashed, Dotted) for the boundary lines and the intermediate grid lines. Price Labels: Optional display of price values for each grid level, positioned on the right side near the current bar. Labels for boundary levels automatically inherit the boundary line colors. Adjustable horizontal offset (Price Label Offset (X)) for labels. Customizable text size (Text Size) and color (Price Text Color (Mid)) for mid-levels. Grid Start Time: Define a specific date and time (Grid Start Time) from which the grid lines should start appearing on the chart (defaults to the beginning of the current month). Line Extension: Grid lines automatically extend to the right margin of the chart. Alert Condition: Provides a "Grid Level Cross" condition for creating custom alerts when price crosses any active grid level. Alert Toggle: An option (Enable Alert Condition?) in the settings to enable or disable the availability of the "Grid Level Cross" condition when creating alerts. Real-time Calculation: Uses calc_on_every_tick=true for responsive alert checking against the current price. How to Use: Add the "Improved Grid Level Visualizer" indicator to your chart. Set Bounds: Adjust the Upper Price Bound and Lower Price Bound lines by clicking and dragging them on the chart, or set precise values in the indicator settings. Set Levels: Define the Number of Grid Levels you need in the settings. Set Start Time: Use the Grid Start Time input to control when the grid visualization begins. Customize: Configure colors, line styles, label visibility, etc., in the settings panel. Set Alerts (Optional): Follow the steps below. Notes: The grid levels are calculated purely based on the mathematical division of the specified price range. They do not automatically adapt to market structure unless you manually adjust the bounds. When changing the Grid Start Time after the indicator has been running, you might need to refresh the chart or remove/re-add the indicator for the visual starting point to update correctly.
Pine Script® 인디케이터
adko13의
2
Metatrader CalculatorThe “ Metatrader Calculator ” indicator calculates the position size, risk, and potential gain of a trade, taking into account the account balance, risk percentage, entry price, stop loss price, and risk/reward ratio. It supports the XAUUSD, XAGUSD, and BTCUSD pairs, automatically calculating the position size (in lots) based on these parameters. The calculation is displayed in a table on the chart, showing the lot size, loss in dollars, and potential gain based on the defined risk.
Pine Script® 인디케이터
legioz의
1
MTF Fractals [RunRox]🔽 MTF Fractals is a powerful indicator designed to visualize fractals from multiple timeframes directly on your chart, highlight liquidity sweeps at these fractal levels, and provide several additional features we’ll cover in detail below. We created this indicator because we couldn’t find a suitable tool that met our specific needs on TradingView. Therefore, we decided to develop a valuable indicator for the entire TradingView community, combining simplicity and versatility. ⁉️ WHAT IS A FRACTALS? In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides. Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart. 📙 FRACTAL FORMATION Here’s how fractals form depending on your chosen setting (3, 5, 7, or 9): ▶️ 3-bar fractal – forms when the central candle is higher (for highs) or lower (for lows) than one candle on each side. ▶️ 5-bar fractal – forms when the central candle is higher or lower than two candles on both sides. ▶️ 7-bar fractal – forms when the central candle is higher or lower compared to the three candles on each side. ▶️ 9-bar fractal – forms similarly but requires four candles on each side, making the fractal significantly more reliable and robust. A higher number of bars ensures stronger fractal levels, highlighting more significant potential reversal points on the chart. Now that we’ve covered the theory behind fractal formation, let’s explore the indicator’s functionality in more detail. Below, I’ll explain each feature clearly and illustrate how you can effectively utilize this indicator in your trading. 🕐 MULTI-TIMEFRAME FRACTALS We realized that displaying fractals only from the current timeframe isn’t always convenient, so we’ve introduced Multi-Timeframe Fractals into this indicator. Now you can easily display fractals from higher timeframes directly on your current chart, providing you with broader market context and clearer trading signals. Fractals from Current Timeframe – Fractals identified directly on the chart’s current timeframe. Fractals from Higher Timeframes – Fractals sourced from higher timeframes and displayed clearly on your current chart for enhanced market perspective. 📈 FRACTAL LINES Since fractals represent areas of high liquidity, we’ve added an option to extend fractal levels horizontally as Fractal Lines across your chart. This feature allows you to clearly visualize critical liquidity areas from higher timeframes, directly on your current timeframe chart, as demonstrated in the screenshot below. With this approach, you can clearly visualize significant fractal levels from higher timeframes directly on your current chart - for example, projecting fractals from the 1-hour (1H) timeframe onto a 3-minute (3m) chart. ✅ This helps you easily identify critical liquidity areas and potential reversal zones without the need to switch between multiple timeframes. 💰 LIQUDITY SWEEP (LIQUDITY GRAB) To enhance your trading experience, we’ve introduced a feature that clearly identifies liquidity sweeps of fractal levels. A Liquidity Sweep occurs when a candle closes beyond a fractal line, leaving a wick that pierces through it, signaling that liquidity has been collected at this level. Below, you’ll find two examples illustrating this functionality: ▶️ Fractal lines from the current timeframe ▶️ Fractal lines projected from higher timeframes The first example illustrates liquidity being swept from fractals on the current timeframe . Here, the candle clearly closes beyond the fractal line, leaving a wick through it. This indicates a liquidity sweep at the fractal level, visually highlighting a potential reversal or continuation opportunity directly on your chart. In the second example, fractals from the higher timeframe are projected onto your current chart. When a candle on your current timeframe closes beyond an HTF fractal line - leaving a wick through this level - the indicator highlights it clearly. This signals to traders a potential reversal zone, indicating that liquidity has been swept, and price may reverse or significantly react from this area. You can also enable the display of additional labels on the chart. These labels clearly mark liquidity sweeps at fractal levels, making it easier to visually identify potential reversal points directly on your chart. ⚙️ SETTINGS Below are the indicator settings with detailed explanations for each parameter. 🔷 Bars in Fractal – Number of candles to the right and left required to form a fractal. 🔷 Fractal Timeframe – Select the timeframe from which you want to display fractals on the current chart. 🔷 Max Age, bars – Number of bars during which the fractal will remain active. 🔷 Show Fractal Line – Display or hide fractal lines. 🔷 Line Style – Choose the style of the line displayed on the chart. 🔷 Line Width – Thickness of the fractal line. 🔷 High Fractal – Style and color of bearish fractals. 🔷 Low Fractal – Style and color of bullish fractals. 🔷 Fractal Label Size – Select the size of fractal labels. 🔷 Show Sweep Labels – Option to display labels when a liquidity sweep occurs. 🔷 Label Color – Color and transparency of the area marked on the chart during a sweep. 🔷 Shade Sweep Area – Show or hide the sweep area shading. 🔷 Area Color – Color and transparency settings for the sweep area. 🔶 We’d love to hear your feedback and any suggestions for additional features you’d like to see in this indicator. We’ll be happy to consider your ideas and continue improving the indicator!
Pine Script® 인디케이터
RunRox의
11
1H/3m Concept [RunRox]🕘 1H/3m Concept is a versatile trading methodology based on liquidity sweeps from fractal points identified on higher timeframes, followed by price reversals at these key moments. Below, I will explain this concept in detail and provide clear examples demonstrating its practical application. ⁉️ WHAT IS A FRACTALS? In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides. Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart. 📌 ABOUT THE CONCEPT The 1H/3m Concept involves marking Higher Timeframe (HTF) fractals directly onto a Lower Timeframe (LTF) chart. When a liquidity sweep occurs at an HTF fractal level, we remain on the same LTF chart (since all HTF fractals are already plotted on this lower timeframe) and wait for a clear Market Structure Shift (MSS) to identify our potential entry point. Below is a schematic illustration clearly demonstrating how this concept works in practice. Below is another 💡 real-chart example , showing liquidity in the form of a 1H fractal, swept by a rapid impulse move. Immediately afterward, a clear Market Structure Shift (MSS) occurs, signaling a potential entry point into the trade. Another example is shown below, where we see our hourly fractal, from which price clearly reacts, providing an opportunity to search for an entry point. As illustrated on the chart, the fractal levels from the higher timeframe are clearly displayed, but we’re working directly on the 5-minute chart. This allows us to remain on one timeframe without needing to switch back and forth between charts to spot such trading setups. 🔍 MTF FRACTALS This concept can be applied across various HTF-LTF timeframe combinations. Although our examples illustrate 1H fractals used on a 5-minute chart, you can effectively utilize many other timeframe combinations, such as: 30m HTF fractals on 1m chart 1H HTF fractals on 3m chart 4H HTF fractals on 15m chart 1D HTF fractals on 1H chart The key idea behind this concept is always the same: identify liquidity at fractal levels on the higher timeframe (HTF), then wait for a clear Market Structure Shift (MSS) on the lower timeframe (LTF) to enter trades. ⚙️ SETTINGS 🔷 Trade Direction – Select the preferred trading direction (Long, Short, or Both). 🔷 HTF – Choose the higher timeframe from which fractals will be displayed on the current chart. 🔷 HTF Period – Number of candles required on both sides of a fractal candle (before and after) to confirm fractal formation on the HTF. 🔷 Current TF Period – Sensitivity to the impulse that sweeps liquidity, used for identifying and forming the MSS line. 🔷 Show HTF – Enable or disable displaying HTF fractal lines on your chart. You can also customize line style and color. 🔷 Max Age (Bars) – Number of recent bars within which fractals from the selected HTF will be displayed. 🔷 Show Entry – Enable or disable displaying the MSS line on the chart. 🔷 Enable Alert – Activates TradingView alerts whenever the MSS line is crossed. You can also enable 🔔 alerts, which notify you whenever price crosses the MSS line. This significantly simplifies the process of identifying these setups on your charts. Simply configure your preferred timeframes and wait for notifications when the MSS line is crossed. 🔶 We greatly appreciate your feedback and suggestions for improving the indicator!
Pine Script® 인디케이터
RunRox의
19
Price AltimeterThis indicator should help visualize the price, inspired by a Digital Altimeter in a Pilots HUD. It's by default calibrated to Bitcoin, with the small levels showing every $100 and the larger levels setup to display on every $1000. But you can change this to whatever you want by changing the settings for: Small and Large Level Increments. The default colors are grey, but can be changed to whatever you want, and there are two cause if you want they work as a gradient. There are options to fade as the values go away from the current price action. There are options for Forward and Backward Offsets, 0 is the current price and each value represents a candle on whatever time frame your currently on. Other Options include the Fade Ratio, the Line Width and Style, which are all self explanatory. Hope you Enjoy! Backtest it in fast mode to see it in action a little better... Known Issues: For some reason it bug's out when either or are displaying more than 19 lines, unsure why so its limited to that for now. Extra Note on what this may be useful for: I always wanted to make this, but didn't realize how to put things in front of the price action... Offset! Duh! Anyways, I thought of this one because I often it's hard on these charts to really get an idea for absolute price amounts across different time frames, this in an intuitive, at a glance way to see it because the regular price thing on the right always adds values between values when you zoom in and you can sometimes get lost figuring out the proportions of things. Could also be useful for Scalping?
Pine Script® 인디케이터
Pouncer626의
Cumulative Price Change AlertCumulative Price Change Alert Version: 1.0 Author: QCodeTrader 🚀 Overview 🔍 The Cumulative Price Change Alert indicator analyzes the percentage change between the current and previous open prices and sums these changes over a user-defined number of bars. It then generates visual buy and sell signals using arrows and labels on the chart, helping traders spot cumulative price momentum and potential trading opportunities. Key Features ⚙️ Customizable Timeframe 🕒: Use a custom timeframe or default to the chart's timeframe for price data. User-Defined Summation 🔢: Specify the number of bars to sum, allowing you to analyze cumulative price changes. Custom Buy & Sell Conditions 🔔: Set individual percentage change thresholds and cumulative sum thresholds to tailor signals for your strategy. Visual Alerts 🚀: Displays green upward arrows for buy signals and red downward arrows for sell signals directly on the chart. Informative Labels 📝: Provides labels with formatted percentage change and cumulative sum details for the analyzed bars. Versatile Application 📊: Suitable for stocks, forex, crypto, commodities, and more. How It Works ⚡ Price Change Calculation ➗: The indicator calculates the percentage change between the current bar's open price and the previous bar's open price. Cumulative Sum ➕: It then sums these percentage changes over the last N bars (as specified by the user). Signal Generation 🚦: Buy Signal 🟢: When both the individual percentage change and the cumulative sum exceed their respective buy thresholds, a green arrow and label are displayed. Sell Signal 🔴: Conversely, if the individual change and cumulative sum fall below the sell thresholds, a red arrow and label are shown. How to Use 💡 Add the Indicator ➕: Apply the indicator to your chart. Customize Settings ⚙️: Set a custom timeframe if desired. Define the number of bars to sum. Adjust the buy/sell percentage change and cumulative sum thresholds to match your trading strategy. Interpret Visual Cues 👀: Monitor the chart for green or red arrows and corresponding labels that signal potential buy or sell opportunities based on cumulative price movements. Settings Explained 🛠️ Custom Timeframe: Select an alternative timeframe for analysis, or leave empty to use the current chart's timeframe. Number of Last Bars to Sum: Determines how many bars are used to compute the cumulative percentage change. Buy Condition - Min % Change: The minimum individual percentage change required to consider a buy signal. Buy Condition - Min Sum of Bars: The minimum cumulative percentage change over the defined bars needed for a buy signal. Sell Condition - Max % Change: The maximum individual percentage change threshold for a sell signal. Sell Condition - Max Sum of Bars: The maximum cumulative percentage change over the defined bars for triggering a sell signal. Best Use Cases 🎯 Momentum Identification 📈: Quickly spot strong cumulative price movements and momentum shifts. Entry/Exit Signals 🚪: Use the visual signals to determine potential entry and exit points in your trading. Versatile Strategy Application 🔄: Effective for scalping, swing trading, and longer-term analysis across various markets. UPD: uncheck labels for better performance
Pine Script® 인디케이터
QCodeTrader의
Price Level Multi Timeframe [Snowdex]Price Level Multi-Timeframe Indicator This indicator visualizes important price levels from multiple timeframes (e.g., daily, weekly, monthly) directly on the chart. It helps traders identify significant support and resistance levels for better decision-making. Features: Displays price levels for multiple timeframes: daily (1D), weekly (1W), monthly (1M), quarterly (3M), semi-annual (6M), and yearly (12M). Customizable options to show or hide levels and adjust their colors. Highlights high, low, and close levels of each timeframe with labels and dotted lines. Includes options to extend levels visually for better clarity. Benefits: Easily compare price levels across timeframes. Enhance technical analysis with multi-timeframe insights. Identify key areas of support and resistance dynamically.
Pine Script® 인디케이터
snowdex의
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.
Pine Script® 인디케이터
BackQuant의
2
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.
Pine Script® 인디케이터
BackQuant의
12
PDF MA For Loop [BackQuant]PDF MA For Loop Introducing the PDF MA For Loop, an innovative trading indicator that combines Probability Density Function (PDF) smoothing with a dynamic for-loop scoring mechanism. This advanced tool provides traders with precise trend-following signals, helping to identify long and short opportunities with improved clarity and adaptability to market conditions. If you would like to check out the stand alone PDF Moving Average: Core Concept: Probability Density Function (PDF) Smoothing The PDF smoothing method is a unique approach that applies adaptive weights to price data based on a Probability Density Function. This ensures that recent data points receive appropriate emphasis while maintaining a smooth transition across the data set. The result is a moving average that is not only smoother but also more responsive to market changes. Key parameters in PDF smoothing: Variance : Controls the spread of the PDF, where a higher value results in broader smoothing and a lower value makes the moving average more sensitive. Mean : Centers the PDF around a specific value, influencing the weighting and responsiveness of the smoothing process. By combining PDF smoothing with traditional moving averages (EMA or SMA), the indicator creates a hybrid signal that balances responsiveness and reliability. For-Loop Scoring Mechanism At the heart of this indicator is the for-loop scoring mechanism, which evaluates the smoothed PDF moving average over a defined range of historical data points. This process assigns a score to the current market condition based on whether the PDF moving average is greater than or less than previous values. Long Signal: A long signal is generated when the score exceeds the Long Threshold (default set at 40), indicating upward momentum. Short Signal: A short signal is triggered when the score crosses below the Short Threshold (default set at -10), suggesting potential downward momentum. This dynamic scoring system ensures that the indicator remains adaptive, capturing trends and shifts in market sentiment effectively. Customization Options The PDF MA For Loop includes a variety of customizable settings to fit different trading styles and strategies: Calculation Settings Price Source : Select the input price for the calculation (default is the close price). Smoothing Method : Choose between EMA or SMA for the additional smoothing layer, providing flexibility to adapt to market conditions. Smoothing Period : Adjust the lookback period for the smoothing function, with shorter periods providing more sensitivity and longer periods offering greater stability. Variance & Mean : Fine-tune the PDF function parameters to control the weighting of the smoothing process. Signal Settings Thresholds : Customize the upper and lower thresholds to define the sensitivity of the long and short signals. For Loop Range : Set the range of historical data points analyzed by the for-loop, influencing the depth of the scoring mechanism. UI Settings Signal Line Width: Adjust the thickness of the plotted signal line for better visibility. Candle Coloring: Enable or disable the coloring of candlesticks based on trend direction (green for long, red for short, gray for neutral). Background Coloring: Add background shading to highlight long and short signals for an enhanced visual experience. Alerts and Automation The indicator includes built-in alert conditions to notify traders of important market events: Long Signal Alert: Notifies when the score exceeds the upper threshold, indicating a bullish trend. Short Signal Alert: Notifies when the score crosses below the lower threshold, signaling a bearish trend. These alerts can be configured for real-time notifications, allowing traders to respond quickly to market changes without constant chart monitoring. Trading Applications The PDF MA For Loop is versatile and can be applied across various trading strategies and market conditions: Trend Following: The PDF smoothing method combined with for-loop scoring makes this indicator particularly effective for identifying and following trends. Reversal Trading: By observing the thresholds and score, traders can anticipate potential reversals when the trend shifts from long to short (or vice versa). Risk Management: The dynamic thresholds and scoring provide clear signals, allowing traders to enter and exit trades with greater confidence and precision. Final Thoughts The PDF MA For Loopis merges advanced mathematical concepts with practical trading tools. By leveraging Probability Density Function smoothing and a dynamic for-loop scoring system, it provides traders with clear, actionable signals while adapting to market conditions. Whether you’re looking for an edge in trend-following strategies or seeking precision in identifying reversals, this indicator offers the flexibility and power to enhance your trading decisions As always, backtesting and integrating the PDF MA For Loop into a comprehensive trading strategy is recommended for optimal performance, as no single indicator should be used in isolation. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
Pine Script® 인디케이터
BackQuant의
Machine Learning RSI [BackQuant]Machine Learning RSI The Machine Learning RSI is a cutting-edge trading indicator that combines the power of Relative Strength Index (RSI) with Machine Learning (ML) clustering techniques to dynamically determine overbought and oversold thresholds. This advanced indicator adapts to market conditions in real-time, offering traders a robust tool for identifying optimal entry and exit points with increased precision. Core Concept: Relative Strength Index (RSI) The RSI is a well-known momentum oscillator that measures the speed and change of price movements, oscillating between 0 and 100. Typically, RSI values above 70 are considered overbought, and values below 30 are considered oversold. However, static thresholds may not be effective in all market conditions. This script enhances the RSI by integrating a dynamic thresholding system powered by Machine Learning clustering, allowing it to adapt thresholds based on historical RSI behavior and market context. Machine Learning Clustering for Dynamic Thresholds The Machine Learning (ML) component uses clustering to calculate dynamic thresholds for overbought and oversold levels. Instead of relying on fixed RSI levels, this indicator clusters historical RSI values into three groups using a percentile-based initialization and iterative optimization: Cluster 1: Represents lower RSI values (typically associated with oversold conditions). Cluster 2: Represents mid-range RSI values. Cluster 3: Represents higher RSI values (typically associated with overbought conditions). Dynamic thresholds are determined as follows: Long Threshold: The upper centroid value of Cluster 3. Short Threshold: The lower centroid value of Cluster 1. This approach ensures that the indicator adapts to the current market regime, providing more accurate signals in volatile or trending conditions. Smoothing Options for RSI To further enhance the effectiveness of the RSI, this script allows traders to apply various smoothing methods to the RSI calculation, including: Simple Moving Average (SMA) Exponential Moving Average (EMA) Weighted Moving Average (WMA) Hull Moving Average (HMA) Linear Regression (LINREG) Double Exponential Moving Average (DEMA) Triple Exponential Moving Average (TEMA) Adaptive Linear Moving Average (ALMA) T3 Moving Average Traders can select their preferred smoothing method and adjust the smoothing period to suit their trading style and market conditions. The option to smooth the RSI reduces noise and makes the indicator more reliable for detecting trends and reversals. Long and Short Signals The indicator generates long and short signals based on the relationship between the RSI value and the dynamic thresholds: Long Signals: Triggered when the RSI crosses above the long threshold, signaling bullish momentum. Short Signals: Triggered when the RSI falls below the short threshold, signaling bearish momentum. These signals are dynamically adjusted to reflect real-time market conditions, making them more robust than static RSI signals. Visualization and Clustering Insights The Machine Learning RSI provides an intuitive and visually rich interface, including: RSI Line: Plotted in real-time, color-coded based on its position relative to the dynamic thresholds (green for long, red for short, gray for neutral). Dynamic Threshold Lines: The script plots the long and short thresholds calculated by the ML clustering process, providing a clear visual reference for overbought and oversold levels. Cluster Plots: Each RSI cluster is displayed with distinct colors (green, orange, and red) to give traders insights into how RSI values are grouped and how the dynamic thresholds are derived. Customization Options The Machine Learning RSI is highly customizable, allowing traders to tailor the indicator to their preferences: RSI Settings : Adjust the RSI length, source price, and smoothing method to match your trading strategy. Threshold Settings : Define the range and step size for clustering thresholds, allowing you to fine-tune the clustering process. Optimization Settings : Control the performance memory, maximum clustering steps, and maximum data points for ML calculations to ensure optimal performance. UI Settings : Customize the appearance of the RSI plot, dynamic thresholds, and cluster plots. Traders can also enable or disable candle coloring based on trend direction. Alerts and Automation To assist traders in staying on top of market movements, the script includes alert conditions for key events: Long Signal: When the RSI crosses above the long threshold. Short Signal: When the RSI crosses below the short threshold. These alerts can be configured to notify traders in real-time, enabling timely decisions without constant chart monitoring. Trading Applications The Machine Learning RSI is versatile and can be applied to various trading strategies, including: Trend Following: By dynamically adjusting thresholds, this indicator is effective in identifying and following trends in real-time. Reversal Trading: The ML clustering process helps identify extreme RSI levels, offering reliable signals for reversals. Range-Bound Trading: The dynamic thresholds adapt to market conditions, making the indicator suitable for trading in sideways markets where static thresholds often fail. Final Thoughts The Machine Learning RSI represents a significant advancement in RSI-based trading indicators. By integrating Machine Learning clustering techniques, this script overcomes the limitations of static thresholds, providing dynamic, adaptive signals that respond to market conditions in real-time. With its robust visualization, customizable settings, and alert capabilities, this indicator is a powerful tool for traders seeking to enhance their momentum analysis and improve decision-making. As always, thorough backtesting and integration into a broader trading strategy are recommended to maximize the effectiveness!
Pine Script® 인디케이터
BackQuant의
18
Dual price forecast with Projection Zone [FXSMARTLAB]The Dual Price Forecast with Projection Zone indicator is built to simulate potential future price paths based on historical price movements over two defined lookback periods. By running multiple trials (or simulations) on these historical price movements, the indicator achieves a more robust forecast, incorporating the inherent variability of price behavior. Key Components and Calculation Details 1. Lookback Periods and Historical Price Movements Lookback Period 1 and Lookback Period 2 specify the range of past data used to generate each projection. For each period, the indicator calculates the price variations (differences between the closing and opening prices) and stores these in arrays. These historical price variations capture the volatility and price patterns within each period, serving as templates for future price behavior. 2. Trials: Purpose and Function The trials are a critical element in the projection calculation. Each trial represents a single simulation of possible future price movements, derived from a random reordering of the historical price variations in each lookback period. By running multiple trials , the indicator explores various sequences of historical movements, simulating different possible future paths. Each trial adds to the projection’s robustness by capturing a unique potential price path based on past behavior. Running these multiple trials allows the indicator to account for randomness in price behavior, making the projections more comprehensive by covering a range of scenarios rather than relying on a single deterministic forecast. 3. Reverse Option The reverse option allows the indicator to invert the direction of price movements within each lookback period. When enabled, historical uptrends are treated as downtrends, and vice versa. This feature is particularly valuable in scenarios where traders expect a potential reversal in market direction. By enabling the reverse option, the indicator can simulate what might happen if past trends inverted, providing an alternative forecast path that considers possible market reversals. This allows traders to assess both continuation and reversal scenarios, giving them a more balanced view of potential future price paths and helping them prepare for either market direction. 4. Generating the Average Projection Path Once the trials are complete, the indicator calculates an average projected price path for each lookback period by averaging the results of all trials. This average represents the most likely price trend based on historical data and provides a smoothed projection that mitigates extreme outliers. By averaging across all trial paths, the indicator generates a more reliable and balanced forecast line, smoothing out the fluctuations that might appear if only one trial or a small number of trials were used. 5. Projection Zone Visualization The indicator plots the two average projection paths (one for each lookback period) as Projection 1 and Projection 2, each in a user-defined color. The Projection Zone is the area between these two lines, filled with a semi-transparent color. This zone visually represents the potential range of future price movement, highlighting where prices are likely to oscillate if historical trends persist. The Projection Zone effectively functions as a potential support and resistance boundary, providing traders with a visual reference for possible price fluctuations within a specific range. 6. Display of Lookback Zones To give context to the projections, the indicator can also display colored lookback zones on the chart. These zones correspond to Lookback Period 1 and Lookback Period 2 and are color-coded to match their respective projection lines. These zones allow traders to see the sections of historical data used in the calculation, helping them understand which past price behaviors influenced the current projections. Benefits of the Indicator The "Dual Price Forecast with Projection Zone" indicator provides a multi-scenario forecast based on past price dynamics. Its use of trials ensures that projections are not based on a single deterministic path but on a range of possible scenarios that better reflect the inherent randomness in financial markets. By generating a probabilistic forecast within a defined zone, the indicator helps traders to: Anticipate potential price ranges and areas of support/resistance based on historical trends. Understand the influence of different timeframes (short-term and long-term lookbacks) on future price behavior. Make informed decisions by visualizing the likely variability of future prices within a controlled projection zone. Prepare for both continuation and reversal scenarios, thanks to the reverse option. This feature is especially useful in markets where trends may change direction, as it allows traders to explore what might happen
Pine Script® 인디케이터
FXSMARTLAB의
PDF Smoothed Moving Average [BackQuant]PDF Smoothed Moving Average Introducing BackQuant’s PDF Smoothed Moving Average (PDF-MA) — an innovative trading indicator that applies Probability Density Function (PDF) weighting to moving averages, creating a unique, trend-following tool that offers adaptive smoothing to price movements. This advanced indicator gives traders an edge by blending PDF-weighted values with conventional moving averages, helping to capture trend shifts with enhanced clarity. Core Concept: Probability Density Function (PDF) Smoothing The Probability Density Function (PDF) provides a mathematical approach to applying adaptive weighting to data points based on a specified variance and mean. In the PDF-MA indicator, the PDF function is used to weight price data, adding a layer of probabilistic smoothing that enhances the detection of trend strength while reducing noise. The PDF weights are controlled by two key parameters: Variance: Determines the spread of the weights, where higher values spread out the weighting effect, providing broader smoothing. Mean : Centers the weights around a particular price value, influencing the trend’s directionality and sensitivity. These PDF weights are applied to each price point over the chosen period, creating an adaptive and smooth moving average that more closely reflects the underlying price trend. Blending PDF with Standard Moving Averages To further improve the PDF-MA, this indicator combines the PDF-weighted average with a traditional moving average, selected by the user as either an Exponential Moving Average (EMA) or Simple Moving Average (SMA). This blended approach leverages the strengths of each method: the responsiveness of PDF smoothing and the robustness of conventional moving averages. Smoothing Method: Traders can choose between EMA and SMA for the additional moving average layer. The EMA is more responsive to recent prices, while the SMA provides a consistent average across the selected period. Smoothing Period: Controls the length of the lookback period, affecting how sensitive the average is to price changes. The result is a PDF-MA that provides a reliable trend line, reflecting both the PDF weighting and traditional moving average values, ideal for use in trend-following and momentum-based strategies. Trend Detection and Candle Coloring The PDF-MA includes a built-in trend detection feature that dynamically colors candles based on the direction of the smoothed moving average: Uptrend: When the PDF-MA value is increasing, the trend is considered bullish, and candles are colored green, indicating potential buying conditions. Downtrend: When the PDF-MA value is decreasing, the trend is considered bearish, and candles are colored red, signaling potential selling or shorting conditions. These color-coded candles provide a quick visual reference for the trend direction, helping traders make real-time decisions based on the current market trend. Customization and Visualization Options This indicator offers a range of customization options, allowing traders to tailor it to their specific preferences and trading environment: Price Source : Choose the price data for calculation, with options like close, open, high, low, or HLC3. Variance and Mean : Fine-tune the PDF weighting parameters to control the indicator’s sensitivity and responsiveness to price data. Smoothing Method : Select either EMA or SMA to customize the conventional moving average layer used in conjunction with the PDF. Smoothing Period : Set the lookback period for the moving average, with a longer period providing more stability and a shorter period offering greater sensitivity. Candle Coloring : Enable or disable candle coloring based on trend direction, providing additional clarity in identifying bullish and bearish phases. Trading Applications The PDF Smoothed Moving Average can be applied across various trading strategies and timeframes: Trend Following : By smoothing price data with PDF weighting, this indicator helps traders identify long-term trends while filtering out short-term noise. Reversal Trading : The PDF-MA’s trend coloring feature can help pinpoint potential reversal points by showing shifts in the trend direction, allowing traders to enter or exit positions at optimal moments. Swing Trading : The PDF-MA provides a clear trend line that swing traders can use to capture intermediate price moves, following the trend direction until it shifts. Final Thoughts The PDF Smoothed Moving Average is a highly adaptable indicator that combines probabilistic smoothing with traditional moving averages, providing a nuanced view of market trends. By integrating PDF-based weighting with the flexibility of EMA or SMA smoothing, this indicator offers traders an advanced tool for trend analysis that adapts to changing market conditions with reduced lag and increased accuracy. Whether you’re trading trends, reversals, or swings, the PDF-MA offers valuable insights into the direction and strength of price movements, making it a versatile addition to any trading strategy.
Pine Script® 인디케이터
BackQuant의
2
Savitzky-Golay Z-Score [BackQuant]Savitzky-Golay Z-Score The Savitzky-Golay Z-Score is a powerful trading indicator that combines the precision of the Savitzky-Golay filter with the statistical strength of the Z-Score. This advanced indicator is designed to detect trend shifts, identify overbought or oversold conditions, and highlight potential divergences in the market, providing traders with a unique edge in detecting momentum changes and trend reversals. Core Concept: Savitzky-Golay Filter The Savitzky-Golay filter is a widely-used smoothing technique that preserves important signal features such as peak detection while filtering out noise. In this indicator, the filter is applied to price data (default set to HLC3) to smooth out volatility and produce a cleaner trend line. By specifying the window size and polynomial degree, traders can fine-tune the degree of smoothing to match their preferred trading style or market conditions. Z-Score: Measuring Deviation The Z-Score is a statistical measure that indicates how far the current price is from its mean in terms of standard deviations. In trading, the Z-Score can be used to identify extreme price moves that are likely to revert or continue trending. A positive Z-Score means the price is above the mean, while a negative Z-Score indicates the price is below the mean. This script calculates the Z-Score based on the Savitzky-Golay filtered price, enabling traders to detect moments when the price is diverging from its typical range and may present an opportunity for a trade. Long and Short Conditions The Savitzky-Golay Z-Score generates clear long and short signals based on the Z-Score value: Long Signals : When the Z-Score is positive, indicating the price is above its smoothed mean, a long signal is generated. The color of the bars turns green, signaling upward momentum. Short Signals : When the Z-Score is negative, indicating the price is below its smoothed mean, a short signal is generated. The bars turn red, signaling downward momentum. These signals allow traders to follow the prevailing trend with confidence, using statistical backing to avoid false signals from short-term volatility. Standard Deviation Levels and Extreme Levels This indicator includes several features to help visualize overbought and oversold conditions: Standard Deviation Levels: The script plots horizontal lines at +1, +2, -1, and -2 standard deviations. These levels provide a reference for how far the current price is from the mean, allowing traders to quickly identify when the price is moving into extreme territory. Extreme Levels: Additional extreme levels at +3 and +4 (and their negative counterparts) are plotted to highlight areas where the price is highly likely to revert. These extreme levels provide important insight into market conditions that are far outside the norm, signaling caution or potential reversal zones. The indicator also adapts the color shading of these extreme zones based on the Z-Score’s strength. For example, the area between +3 and +4 is shaded with a stronger color when the Z-Score approaches these values, giving a visual representation of market pressure. Divergences: Detecting Hidden and Regular Signals A key feature of the Savitzky-Golay Z-Score is its ability to detect bullish and bearish divergences, both regular and hidden: Regular Bullish Divergence: This occurs when the price makes a lower low while the Z-Score forms a higher low. It signals that bearish momentum is weakening, and a bullish reversal could be near. Hidden Bullish Divergence: This divergence occurs when the price makes a higher low while the Z-Score forms a lower low. It signals that bullish momentum may continue after a temporary pullback. Regular Bearish Divergence: This occurs when the price makes a higher high while the Z-Score forms a lower high, signaling that bullish momentum is weakening and a bearish reversal may be near. Hidden Bearish Divergence: This divergence occurs when the price makes a lower high while the Z-Score forms a higher high, indicating that bearish momentum may continue after a temporary rally. These divergences are plotted directly on the chart, making it easier for traders to spot when the price and momentum are out of sync and when a potential reversal may occur. Customization and Visualization The Savitzky-Golay Z-Score offers a range of customization options to fit different trading styles: Window Size and Polynomial Degree: Adjust the window size and polynomial degree of the Savitzky-Golay filter to control how much smoothing is applied to the price data. Z-Score Lookback Period: Set the lookback period for calculating the Z-Score, allowing traders to fine-tune the sensitivity to short-term or long-term price movements. Display Options: Choose whether to display standard deviation levels, extreme levels, and divergence labels on the chart. Bar Color: Color the price bars based on trend direction, with green for bullish trends and red for bearish trends, allowing traders to easily visualize the current momentum. Divergences: Enable or disable divergence detection, and adjust the lookback periods for pivots used to detect regular and hidden divergences. Alerts and Automation To ensure you never miss an important signal, the indicator includes built-in alert conditions for the following events: Positive Z-Score (Long Signal): Triggers an alert when the Z-Score crosses above zero, indicating a potential buying opportunity. Negative Z-Score (Short Signal): Triggers an alert when the Z-Score crosses below zero, signaling a potential short opportunity. Shifting Momentum: Alerts when the Z-Score is shifting up or down, providing early warning of changing market conditions. These alerts can be configured to notify you via email, SMS, or app notification, allowing you to stay on top of the market without having to constantly monitor the chart. Trading Applications The Savitzky-Golay Z-Score is a versatile tool that can be applied across multiple trading strategies: Trend Following: By smoothing the price and calculating the Z-Score, this indicator helps traders follow the prevailing trend while avoiding false signals from short-term volatility. Mean Reversion: The Z-Score highlights moments when the price is far from its mean, helping traders identify overbought or oversold conditions and capitalize on potential reversals. Divergence Trading: Regular and hidden divergences between the Z-Score and price provide early warning of trend reversals, allowing traders to enter trades at opportune moments. Final Thoughts The Savitzky-Golay Z-Score is an advanced statistical tool designed to provide a clearer view of market trends and momentum. By applying the Savitzky-Golay filter and Z-Score analysis, this indicator reduces noise and highlights key areas where the market may reverse or accelerate, giving traders a significant edge in understanding price behavior. Whether you’re a trend follower or a reversal trader, this indicator offers the flexibility and insights you need to navigate complex markets with confidence.
Pine Script® 인디케이터
BackQuant의
4
Savitzky Golay Median Filtered RSI [BackQuant]Savitzky Golay Median Filtered RSI Introducing BackQuant's Savitzky Golay Median Filtered RSI, a cutting-edge indicator that enhances the classic Relative Strength Index (RSI) by applying both a Savitzky-Golay filter and a median filter to provide smoother and more reliable signals. This advanced approach helps reduce noise and captures true momentum trends with greater precision. Let’s break down how the indicator works, the features it offers, and how it can improve your trading strategy. Core Concept: Relative Strength Index (RSI) The Relative Strength Index (RSI) is a widely used momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100, with levels above 70 typically indicating overbought conditions and levels below 30 indicating oversold conditions. However, the standard RSI can sometimes generate noisy signals, especially in volatile markets, making it challenging to identify reliable entry and exit points. To improve upon the traditional RSI, this indicator introduces two powerful filters: the Savitzky-Golay filter and a median filter. Savitzky-Golay Filter: Smoothing with Precision The Savitzky-Golay filter is a digital filtering technique used to smooth data while preserving important features, such as peaks and trends. Unlike simple moving averages that can distort important price data, the Savitzky-Golay filter uses polynomial regression to fit the data, providing a more accurate and less lagging result. In this script, the Savitzky-Golay filter is applied to the RSI values to smooth out short-term fluctuations and provide a more reliable signal. By using a window size of 5 and a polynomial degree of 2, the filter effectively reduces noise without compromising the integrity of the underlying price movements. Median Filter: Reducing Outliers After applying the Savitzky-Golay filter, the median filter is applied to the smoothed RSI values. The median filter is particularly effective at removing short-lived outliers, further enhancing the accuracy of the RSI by reducing the impact of sudden and temporary price spikes or drops. This combination of filters creates an ultra-smooth RSI that is better suited for detecting true market trends. Long and Short Signals The Savitzky Golay Median Filtered RSI generates long and short signals based on user-defined threshold levels: Long Signals: A long signal is triggered when the filtered RSI exceeds the Long Threshold (default set at 176). This indicates that momentum is shifting upward, and it may present a good buying opportunity. Short Signals: A short signal is generated when the filtered RSI falls below the Short Threshold (default set at 162). This suggests that momentum is weakening, potentially signaling a selling opportunity or exit from a long position. These threshold levels can be adjusted to suit different market conditions and timeframes, allowing traders to fine-tune the sensitivity of the indicator. Customization and Visualization Options The Savitzky Golay Median Filtered RSI comes with several customization options, enabling traders to tailor the indicator to their specific needs: Calculation Source: Select the price source for the RSI calculation (default is OHLC4, but it can be changed to close, open, high, or low prices). RSI Period: Adjust the lookback period for the RSI calculation (default is 14). Median Filter Length: Control the length of the median filter applied to the smoothed RSI, affecting how much noise is removed from the signal. Threshold Levels: Customize the long and short thresholds to define the sensitivity for generating buy and sell signals. UI Settings: Choose whether to display the RSI and thresholds on the chart, color the bars according to trend direction, and adjust the line width and colors used for long and short signals. Visual Feedback: Color-Coded Signals and Thresholds To make the signals easier to interpret, the indicator offers visual feedback by coloring the price bars and the RSI plot according to the current market trend: Green Bars indicate long signals when momentum is bullish. Red Bars indicate short signals when momentum is bearish. Gray Bars indicate neutral or undecided conditions when no clear signal is present. In addition, the Long and Short Thresholds can be plotted directly on the chart to provide a clear reference for when signals are triggered, allowing traders to visually gauge the strength of the RSI relative to its thresholds. Alerts for Automation For traders who prefer automated notifications, the Savitzky Golay Median Filtered RSI includes built-in alert conditions for long and short signals. You can configure these alerts to notify you when a buy or sell condition is met, ensuring you never miss a trading opportunity. Trading Applications This indicator is versatile and can be used in a variety of trading strategies: Trend Following: The combination of Savitzky-Golay and median filtering makes this RSI particularly useful for identifying strong trends without being misled by short-term noise. Traders can use the long and short signals to enter trades in the direction of the prevailing trend. Reversal Trading: By adjusting the threshold levels, traders can use this indicator to spot potential reversals. When the RSI moves from overbought to oversold levels (or vice versa), it may signal a shift in market direction. Swing Trading: The smoothed RSI provides a clear signal for short to medium-term price movements, making it an excellent tool for swing traders looking to capitalize on momentum shifts. Risk Management: The filtered RSI can be used as part of a broader risk management strategy, helping traders avoid false signals and stay in trades only when the momentum is strong. Final Thoughts The Savitzky Golay Median Filtered RSI takes the classic RSI to the next level by applying advanced smoothing techniques that reduce noise and improve signal reliability. Whether you’re a trend follower, swing trader, or reversal trader, this indicator provides a more refined approach to momentum analysis, helping you make better-informed trading decisions. As with all indicators, it is important to backtest thoroughly and incorporate sound risk management strategies when using the Savitzky Golay Median Filtered RSI in your trading system. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
Pine Script® 인디케이터
BackQuant의
Kalman For Loop [BackQuant]Kalman For Loop Introducing BackQuant's Kalman For Loop (Kalman FL) — a highly adaptive trading indicator that uses a Kalman filter to smooth price data and generate actionable long and short signals. This advanced indicator is designed to help traders identify trends, filter out market noise, and optimize their entry and exit points with precision. Let’s explore how this indicator works, its key features, and how it can enhance your trading strategies. Core Concept: Kalman Filter The Kalman Filter is a mathematical algorithm used to estimate the state of a system by filtering noisy data. It is widely used in areas such as control systems, signal processing, and time-series analysis. In the context of trading, a Kalman filter can be applied to price data to smooth out short-term fluctuations, providing a clearer view of the underlying trend. Unlike moving averages, which use fixed weights to smooth data, the Kalman Filter adjusts its estimate dynamically based on the relationship between the process noise and the measurement noise. This makes the filter more adaptive to changing market conditions, providing more accurate trend detection without the lag associated with traditional smoothing techniques. Please see the original Kalman Price Filter In this script, the Kalman For Loop applies the Kalman filter to the price source (default set to the closing price) to generate a smoothed price series, which is then used to calculate signals. Adaptive Smoothing with Process and Measurement Noise Two key parameters govern the behavior of the Kalman filter: Process Noise: This controls the extent to which the model allows for uncertainty in price changes. A lower process noise value will make the filter smoother but slower to react to price changes, while a higher value makes it more sensitive to recent price fluctuations. Measurement Noise: This represents the uncertainty or "noise" in the observed price data. A higher measurement noise value gives the filter more leeway to ignore short-term fluctuations, focusing on the broader trend. Lowering the measurement noise makes the filter more responsive to minor changes in price. These settings allow traders to fine-tune the Kalman filter’s sensitivity, adjusting it to match their preferred trading style or market conditions. For-Loop Scoring Mechanism The Kalman FL further enhances the effectiveness of the Kalman filter by using a for-loop scoring system. This mechanism evaluates the smoothed price over a range of periods (defined by the Calculation Start and Calculation End inputs), assigning a score based on whether the current filtered price is higher or lower than previous values. Long Signals: A long signal is generated when the for-loop score surpasses the Long Threshold (default set at 20), indicating a strong upward trend. This helps traders identify potential buying opportunities. Short Signals: A short signal is triggered when the score crosses below the Short Threshold (default set at -10), signaling a potential downtrend or selling opportunity. These signals are plotted on the chart, giving traders a clear visual indication of when to enter long or short positions. Customization and Visualization Options The Kalman For Loop comes with a range of customization options to give traders full control over how the indicator operates and is displayed on the chart: Kalman Price Source: Choose the price data used for the Kalman filter (default is the closing price), allowing you to apply the filter to other price points like open, high, or low. Filter Order: Set the order of the Kalman filter (default is 5), controlling how far back the filter looks in its calculations. Process and Measurement Noise: Fine-tune the sensitivity of the Kalman filter by adjusting these noise parameters. Signal Line Width and Colors: Customize the appearance of the signal line and the colors used to indicate long and short conditions. Threshold Lines: Toggle the display of the long and short threshold lines on the chart for better visual clarity. The indicator also includes the option to color the candlesticks based on the current trend direction, allowing traders to quickly identify changes in market sentiment. In addition, a background color feature further highlights the overall trend by shading the background in green for long signals and red for short signals. Trading Applications The Kalman For Loop is a versatile tool that can be adapted to a variety of trading strategies and markets. Some of the primary use cases include: Trend Following: The adaptive nature of the Kalman filter helps traders identify the start of new trends with greater precision. The for-loop scoring system quantifies the strength of the trend, making it easier to stay in trades for longer when the trend remains strong. Mean Reversion: For traders looking to capitalize on short-term reversals, the Kalman filter's ability to smooth price data makes it easier to spot when price has deviated too far from its expected path, potentially signaling a reversal. Noise Reduction: The Kalman filter excels at filtering out short-term price noise, allowing traders to focus on the broader market movements without being distracted by minor fluctuations. Risk Management: By providing clear long and short signals based on filtered price data, the Kalman FL helps traders manage risk by entering positions only when the trend is well-defined, reducing the chances of false signals. Alerts and Automation To further assist traders, the Kalman For Loop includes built-in alert conditions that notify you when a long or short signal is generated. These alerts can be configured to trigger notifications, helping you stay on top of market movements without constantly monitoring the chart. Final Thoughts The Kalman For Loop is a powerful and adaptive trading indicator that combines the precision of the Kalman filter with a for-loop scoring mechanism to generate reliable long and short signals. Whether you’re a trend follower or a reversal trader, this indicator offers the flexibility and accuracy needed to navigate complex markets with confidence. As always, it’s important to backtest the indicator and adjust the settings to fit your trading style and market conditions. No indicator is perfect, and the Kalman FL should be used alongside other tools and sound risk management practices for the best results.
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Adaptive Gaussian MA For Loop [BackQuant]Adaptive Gaussian MA For Loop PLEASE Read the following carefully before applying this indicator to your trading system. Knowing the core logic behind the tools you're using allows you to integrate them into your strategy with confidence and precision. Introducing BackQuant's Adaptive Gaussian Moving Average For Loop (AGMA FL) — a sophisticated trading indicator that merges the Gaussian Moving Average (GMA) with adaptive volatility to provide dynamic trend analysis. This unique indicator further enhances its effectiveness by utilizing a for-loop scoring mechanism to detect potential shifts in market direction. Let's dive into the components, the rationale behind them, and how this indicator can be practically applied to your trading strategies. Understanding the Gaussian Moving Average (GMA) The Gaussian Moving Average (GMA) is a smoothed moving average that applies Gaussian weighting to price data. Gaussian weighting gives more significance to data points near the center of the lookback window, making the GMA particularly effective at reducing noise while maintaining sensitivity to changes in price direction. In contrast to simpler moving averages like the SMA or EMA, GMA provides a more refined smoothing function, which can help traders follow the true trend in volatile markets. In this script, the GMA is calculated over a defined Calculation Period (default 14), applying a Gaussian filter to smooth out market fluctuations and provide a clearer view of underlying trends. Adaptive Volatility: A Dynamic Edge The Adaptive feature in this indicator gives it the ability to adjust its sensitivity based on current market volatility. If the Adaptive option is enabled, the GMA uses a standard deviation-based volatility measure (with a default period of 20) to dynamically adjust the width of the Gaussian filter, allowing the GMA to react faster in volatile markets and more slowly in calm conditions. This dynamic nature ensures that the GMA stays relevant across different market environments. When the Adaptive setting is disabled, the script defaults to a constant standard deviation value (default 1.0), providing a more stable but less responsive smoothing function. Why Use Adaptive Gaussian Moving Average? The Gaussian Moving Average already provides smoother results than standard moving averages, but by adding an adaptive component, the indicator becomes even more responsive to real-time price changes. In fast-moving or highly volatile markets, this adaptation allows traders to react quicker to emerging trends. Conversely, in quieter markets, it reduces over-sensitivity to minor fluctuations, thus lowering the risk of false signals. For-Loop Scoring Mechanism The heart of this indicator lies in its for-loop scoring system, which evaluates the smoothed price data (the GMA) over a specified range, comparing it to previous values. This scoring system assigns a numerical value based on whether the current GMA is higher or lower than previous values, creating a trend score. Long Signals: These are generated when the for-loop score surpasses the Long Threshold (default set at 40), signaling that the GMA is gaining upward momentum, potentially identifying a favorable buying opportunity. Short Signals: These are triggered when the score crosses below the Short Threshold (default set at -10), indicating that the market may be losing strength and that a selling or shorting opportunity could be emerging. Thresholds & Customization Options This indicator offers a high degree of flexibility, allowing you to fine-tune the settings according to your trading style and risk preferences: Calculation Period: Adjust the lookback period for the Gaussian filter, affecting how smooth or responsive the indicator is to price changes. Adaptive Mode: Toggle the adaptive feature on or off, allowing the GMA to dynamically adjust based on market volatility or remain consistent with a fixed standard deviation. Volatility Settings: Control the standard deviation period for adaptive mode, fine-tuning how quickly the GMA responds to shifts in volatility. For-Loop Settings: Modify the start and end points for the for-loop score calculation, adjusting the depth of analysis for trend signals. Thresholds for Signals: Set custom long and short thresholds to determine when buy or sell signals should be generated. Visualization Options: Choose to color bars based on trend direction, plot signal lines, or adjust the background color to reflect current market sentiment visually. Trading Applications The Adaptive Gaussian MA For Loop can be applied to a variety of trading styles and markets. Here are some key ways you can use this indicator in practice: Trend Following: The combination of Gaussian smoothing and adaptive volatility helps traders stay on top of market trends, identifying significant momentum shifts while filtering out noise. The for-loop scoring system enhances this by providing a numerical representation of trend strength, making it easier to spot when a new trend is emerging or when an existing one is gaining strength. Mean Reversion: For traders looking to capitalize on short-term market corrections, the adaptive nature of this indicator makes it easier to identify when price action is deviating too far from its smoothed trend, allowing for strategic entries and exits based on overbought or oversold conditions. Swing Trading: With its ability to capture medium-term price movements while avoiding the noise of short-term fluctuations, this indicator is well-suited for swing traders who aim to profit from market reversals or short-to-mid-term trends. Volatility Management: The adaptive feature allows the indicator to adjust dynamically in volatile markets, ensuring that it remains responsive in times of increased uncertainty while avoiding unnecessary noise in calmer periods. This makes it an effective tool for traders who want to manage risk by staying in tune with changing market conditions. Final Thoughts The Adaptive Gaussian MA For Loop is a powerful and flexible indicator that merges the elegance of Gaussian smoothing with the adaptability of volatility-based adjustments. By incorporating a for-loop scoring mechanism, this indicator provides traders with a comprehensive view of market trends and potential trade opportunities. It’s important to test the settings on historical data and adapt them to your specific trading style, timeframe, and market conditions. As with any technical tool, the AGMA For Loop should be used in conjunction with other indicators and solid risk management practices for the best results. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
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Two Pole Butterworth For Loop [BackQuant]Two Pole Butterworth For Loop PLEASE read the following carefully, as understanding the underlying concepts and logic behind the indicator is key to incorporating it into your trading system in a sound and methodical manner. Introducing BackQuant's Two Pole Butterworth For Loop (2P BW FL) — an advanced indicator that fuses the power of the Two Pole Butterworth filter with a dynamic for-loop scoring mechanism. This unique approach is designed to extract actionable trading signals by smoothing out price data and then analyzing it using a comparative scoring method. Let's delve into how this indicator works, why it was created, and how it can be used in various trading scenarios. Understanding the Two Pole Butterworth Filter The Butterworth filter is a signal processing tool known for its smooth response and minimal distortion. It's often used in electronic and communication systems to filter out unwanted noise. In trading, the Butterworth filter can be applied to price data to smooth out the volatility, providing traders with a clearer view of underlying trends without the whipsaws often associated with market noise. The Two Pole Butterworth variant further enhances this effect by applying the filter with two poles, effectively creating a sharper transition between the passband and stopband. In simple terms, this allows the filter to follow the price action more closely, reacting to changes while maintaining smoothness. In this script, the Two Pole Butterworth filter is applied to the Calculation Source (default is set to the closing price), creating a smoothed price series that serves as the foundation for further analysis. Why Use a Two Pole Butterworth Filter? The Two Pole Butterworth filter is chosen for its ability to reduce lag while maintaining a smooth output. This makes it an ideal choice for traders who want to capture trends without being misled by short-term volatility or market noise. By filtering the price data, the Two Pole Butterworth enables traders to focus on the broader market movements and avoid false signals. The For-Loop Scoring Mechanism In addition to the Butterworth filter, this script uses a for-loop scoring system to evaluate the smoothed price data. The for-loop compares the current value of the filtered price (referred to as "subject") to previous values over a defined range (set by the start and end input). The score is calculated based on whether the subject is higher or lower than the previous points, and the cumulative score is used to determine the strength of the trend. Long and Short Signal Logic Long Signals: A long signal is triggered when the score surpasses the Long Threshold (default set at 40). This suggests that the price has built sufficient upward momentum, indicating a potential buying opportunity. Short Signals: A short signal is triggered when the score crosses under the Short Threshold (default set at -10). This indicates weakening price action or a potential downtrend, signaling a possible selling or shorting opportunity. By utilizing this scoring system, the indicator identifies moments when the price momentum is shifting, helping traders enter positions at opportune times. Customization and Visualization Options One of the strengths of this indicator is its flexibility. Traders can customize various settings to fit their personal trading style or adapt it to different markets and timeframes: Calculation Periods: Adjust the lookback period for the Butterworth filter, allowing for shorter or longer smoothing depending on the desired sensitivity. Threshold Levels: Set the long and short thresholds to define when signals should be triggered, giving you control over the balance between sensitivity and specificity. Signal Line Width and Colors: Customize the visual presentation of the indicator on the chart, including the width of the signal line and the colors used for long and short conditions. Candlestick and Background Colors: If desired, the indicator can color the candlesticks or the background according to the detected trend, offering additional clarity at a glance. Trading Applications This Two Pole Butterworth For Loop indicator is versatile and can be adapted to various market conditions and trading strategies. Here are a few use cases where this indicator shines: Trend Following: The Butterworth filter smooths the price data, making it easier to follow trends and identify when they are gaining or losing strength. The for-loop scoring system enhances this by providing a clear indication of how strong the current trend is compared to recent history. Mean Reversion: For traders looking to identify potential reversals, the indicator’s ability to compare the filtered price to previous values over a range of periods allows it to spot moments when the trend may be losing steam, potentially signaling a reversal. Swing Trading: The combination of smoothing and scoring allows swing traders to capture short to medium-term price movements by filtering out the noise and focusing on significant shifts in momentum. Risk Management: By providing clear long and short signals, this indicator helps traders manage their risk by offering well-defined entry and exit points. The smooth nature of the Butterworth filter also reduces the risk of getting caught in false signals due to market noise. Final Thoughts The Two Pole Butterworth For Loop indicator offers traders a powerful combination of smoothing and scoring to detect meaningful trends and shifts in price momentum. Whether you are a trend follower, swing trader, or someone looking to refine your entry and exit points, this indicator provides the tools to make more informed trading decisions. As always, it's essential to backtest the indicator on historical data and tailor the settings to your specific trading style and market. While the Butterworth filter helps reduce noise and smooth trends, no indicator can predict the future with absolute certainty, so it should be used in conjunction with other tools and sound risk management practices. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
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Fourier For Loop [BackQuant]Fourier For Loop PLEASE Read the following, as understanding an indicator's functionality is essential before integrating it into a trading strategy. Knowing the core logic behind each tool allows for a sound and strategic approach to trading. Introducing BackQuant's Fourier For Loop (FFL) — a cutting-edge trading indicator that combines Fourier transforms with a for-loop scoring mechanism. This innovative approach leverages mathematical precision to extract trends and reversals in the market, helping traders make informed decisions. Let's break down the components, rationale, and potential use-cases of this indicator. Understanding Fourier Transform in Trading The Fourier Transform decomposes price movements into their frequency components, allowing for a detailed analysis of cyclical behavior in the market. By transforming the price data from the time domain into the frequency domain, this indicator identifies underlying patterns that traditional methods may overlook. In this script, Fourier transforms are applied to the specified calculation source (defaulted to HLC3). The transformation yields magnitude values that can be used to score market movements over a defined range. This scoring process helps uncover long and short signals based on relative strength and trend direction. Why Use Fourier Transforms? Fourier Transforms excel in identifying recurring cycles and smoothing noisy data, making them ideal for fast-paced markets where price movements may be erratic. They also provide a unique perspective on market volatility, offering traders additional insights beyond standard indicators. Calculation Logic: For-Loop Scoring Mechanism The For Loop Scoring mechanism compares the magnitude of each transformed point in the series, summing the results to generate a score. This score forms the backbone of the signal generation system. Long Signals: Generated when the score surpasses the defined long threshold (default set at 40). This indicates a strong bullish trend, signaling potential upward momentum. Short Signals: Triggered when the score crosses under the short threshold (default set at -10). This suggests a bearish trend or potential downside risk.' Thresholds & Customization The indicator offers customizable settings to fit various trading styles: Calculation Periods: Control how many periods the Fourier transform covers. Long/Short Thresholds: Adjust the sensitivity of the signals to match different timeframes or risk preferences. Visualization Options: Traders can visualize the thresholds, change the color of bars based on trend direction, and even color the background for enhanced clarity. Trading Applications This Fourier For Loop indicator is designed to be versatile across various market conditions and timeframes. Some of its key use-cases include: Cycle Detection: Fourier transforms help identify recurring patterns or cycles, giving traders a head-start on market direction. Trend Following: The for-loop scoring system helps confirm the strength of trends, allowing traders to enter positions with greater confidence. Risk Management: With clearly defined long and short signals, traders can manage their positions effectively, minimizing exposure to false signals. Final Note Incorporating this indicator into your trading strategy adds a layer of mathematical precision to traditional technical analysis. Be sure to adjust the calculation start/end points and thresholds to match your specific trading style, and remember that no indicator guarantees success. Always backtest thoroughly and integrate the Fourier For Loop into a balanced trading system. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future . INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
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