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Flow-Weighted Volume Oscillator (FWVO)Volume Dynamics Oscillator (VDO) Description The Volume Dynamics Oscillator (VDO) is a powerful and innovative tool designed to analyze volume trends and provide traders with actionable insights into market dynamics. This indicator goes beyond simple volume analysis by incorporating a smoothed oscillator that visualizes the flow and momentum of trading activity, giving traders a clearer understanding of volume behavior over time. What It Does The VDO calculates the flow of volume by scaling raw volume data relative to its highest and lowest values over a user-defined period. This scaled volume is then smoothed using an exponential moving average (EMA) to eliminate noise and highlight significant trends. The oscillator dynamically shifts above or below a zero line, providing clear visual cues for bullish or bearish volume pressure. Key features include: Smoothed Oscillator: Displays the direction and momentum of volume using gradient colors. Threshold Markers: Highlights overbought or oversold zones based on upper and lower bounds of the oscillator. Visual Fill Zones: Uses color-filled areas to emphasize positive and negative volume flow, making it easy to interpret market sentiment. How It Works The calculation consists of several steps: Smoothing with EMA: An EMA of the scaled volume is applied to reduce noise and enhance trends. A separate EMA period can be adjusted by the user (Volume EMA Period). Dynamic Thresholds: The script determines upper and lower bounds around the smoothed oscillator, derived from its recent highest and lowest values. These thresholds indicate critical zones of volume momentum. How to Use It Bullish Signals: When the oscillator is above zero and green, it suggests strong buying pressure. A crossover from negative to positive can signal the start of an uptrend. Bearish Signals: When the oscillator is below zero and blue, it indicates selling pressure. A crossover from positive to negative signals potential bearish momentum. Overbought/Oversold Zones: Use the upper and lower threshold levels as indicators of extreme volume momentum. These can act as early warnings for trend reversals. Traders can adjust the following inputs to customize the indicator: High/Low Period: Defines the period for volume scaling. Volume EMA Period: Adjusts the smoothing factor for the oscillator. Smooth Factor: Controls the responsiveness of the smoothed oscillator. Originality and Usefulness The VDO stands out by combining dynamic volume scaling, EMA smoothing, and gradient-based visualization into a single, cohesive tool. Unlike traditional volume indicators, which often display raw or cumulative data, the VDO emphasizes relative volume strength and flow, making it particularly useful for spotting reversals, confirming trends, and identifying breakout opportunities. The integration of color-coded fills and thresholds enhances usability, allowing traders to quickly interpret market conditions without requiring deep technical expertise. Chart Recommendations To maximize the effectiveness of the VDO, use it on a clean chart without additional indicators. The gradient coloring and filled zones make it self-explanatory, but traders can overlay basic trendlines or support/resistance levels for additional context. For advanced users, the VDO can be paired with price action strategies, candlestick patterns, or other trend-following indicators to improve accuracy and timing.
อินดิเคเตอร์ Pine Script™
โดย quanvntaoiyeuquehuongvn
00 Averaging Down Backtest Strategy by RPAlawyer v21FOR EDUCATIONAL PURPOSES ONLY! THE CODE IS NOT YET FULLY DEVELOPED, BUT IT CAN PROVIDE INTERESTING DATA AND INSIGHTS IN ITS CURRENT STATE. This strategy is an 'averaging down' backtester strategy. The goal of averaging/doubling down is to buy more of an asset at a lower price to reduce your average entry price. This backtester code proves why you shouldn't do averaging down, but the code can be developed (and will be developed) further, and there might be settings even in its current form that prove that averaging down can be done effectively. Different averaging down strategies exist: - Linear/Fixed Amount: buy $1000 every time price drops 5% - Grid Trading: Placing orders at price levels, often with increasing size, like $1000 at -5%, $2000 at -10% - Martingale: doubling the position size with each new entry - Reverse Martingale: decreasing position size as price falls: $4000, then $2000, then $1000 - Percentage-Based: position size based on % of remaining capital, like 10% of available funds at each level - Dynamic/Adaptive: larger entries during high volatility, smaller during low - Logarithmic: position sizes increase logarithmically as price drops Unlike the above average costing strategies, it applies averaging down (I use DCA as a synonym) at a very strong trend reversal. So not at a certain predetermined percentage negative PNL % but at a trend reversal signaled by an indicator - hence it most closely resembles a dynamically moving grid DCA strategy. Both entering the trade and averaging down assume a strong trend. The signals for trend detection are provided by an indicator that I published under the name '00 Parabolic SAR Trend Following Signals by RPAlawyer', but any indicator that generates numeric signals of 1 and -1 for buy and sell signals can be used. The indicator must be connected to the strategy: in the strategy settings under 'External Source' you need to select '00 Parabolic SAR Trend Following Signals by RPAlawyer: Connector'. From this point, the strategy detects when the indicator generates buy and sell signals. The strategy considers a strong trend when a buy signal appears above a very conservative ATR band, or a sell signal below the ATR band. The conservative ATR is chosen to filter ranging markets. This very conservative ATR setting has a default multiplier of 8 and length of 40. The multiplier can be increased up to 10, but there will be very few buy and sell signals at that level and DCA requirements will be very high. Trade entry and DCA occur at these strong trends. In the settings, the 'ATR Filter' setting determines the entry condition (e.g., ATR Filter multiplier of 9), and the 'DCA ATR' determines when DCA will happen (e.g., DCA ATR multiplier of 6). The DCA levels and DCA amounts are determined as follows: The first DCA occurs below the DCA Base Deviation% level (see settings, default 3%) which acts as a threshold. The thick green line indicates the long position avg price, and the thin red line below the green line indicates the 3% DCA threshold for long positions. The thick red line indicates the short position avg price, and the thin red line above the thick red line indicates the short position 3% DCA threshold. DCA size multiplier defines the DCA amount invested. If the loss exceeds 3% AND a buy signal arrives below the lower ATR band for longs, or a sell signal arrives above the upper ATR band for shorts, then the first DCA will be executed. So the first DCA won't happen at 3%, rather 3% is a threshold where the additional condition is that the price must close above or below the ATR band (let's say the first DCA occured at 8%) – this is why the code resembles a dynamic grid strategy, where the grid moves such that alongside the first 3% threshold, a strong trend must also appear for DCA. At this point, the thick green/red line moves because the avg price is modified as a result of the DCA, and the thin red line indicating the next DCA level also moves. The next DCA level is determined by the first DCA level, meaning modified avg price plus an additional +8% + (3% * the Step Scale Multiplier in the settings). This next DCA level will be indicated by the modified thin red line, and the price must break through this level and again break through the ATR band for the second DCA to occur. Since all this wasn't complicated enough, and I was always obsessed by the idea that when we're sitting in an underwater position for days, doing DCA and waiting for the price to correct, we can actually enter a short position on the other side, on which we can realize profit (if the broker allows taking hedge positions, Binance allows this in Europe). This opposite position in this strategy can open from the point AFTER THE FIRST DCA OF THE BASE POSITION OCCURS. This base position first DCA actually indicates that the price has already moved against us significantly so time to earn some money on the other side. Breaking through the ATR band is also a condition for entry here, so the hedge position entry is not automatic, and the condition for further DCA is breaking through the DCA Base Deviation (default 3%) and breaking through the ATR band. So for the 'hedge' or rather opposite position, the entry and further DCA conditions are the same as for the base position. The hedge position avg price is indicated by a thick black line and the Next Hedge DCA Level is indicated by a thin black line. The TPs are indicated by green labels for base positions and red labels for hedge positions. No SL built into the strategy at this point but you are free to do your coding. Summary data can be found in the upper right corner. The fantastic trend reversal indicator Machine learning: Lorentzian Classification by jdehorty can be used as an external indicator, choose 'backtest stream' for the external source. The ATR Band multiplicators need to be reduced to 5-6 when using Lorentz. The code can be further developed in several aspects, and as I write this, I already have a few ideas 😊
กลยุทธ์ Pine Script™
โดย RPAlawyer
1
Dynamic S/R Levels: Edge FinderOverview The Dynamic S/R Levels: Edge Finder indicator is designed to identify dynamic support and resistance levels based on historical price action. It uses a combination of price extremes (highs and lows) over user-defined lookback periods, weighted moving averages (WMAs), and touch-count analysis to provide actionable insights into key market levels. This tool is ideal for traders who want to: Identify dynamic support and resistance zones. Understand the strength of these levels based on price touches. Make informed decisions using clear, adaptive levels. How It Works Dynamic Levels Calculation: The indicator calculates dynamic support levels using the lowest lows and dynamic resistance levels using the highest highs over user-defined lookback periods (e.g., 20, 40, 60 bars, etc.). These levels are updated dynamically as new price data becomes available. Touch Count Analysis: The indicator counts how many times the price has touched or come close to each support/resistance level within the lookback period. Levels with more touches are considered stronger and are highlighted accordingly. Weighted Moving Averages (WMAs): The indicator uses 50-period and 100-period WMAs to identify the closest support/resistance levels to the current trend. Levels near these WMAs are given additional weight, as they are more likely to act as significant barriers. Level Merging: If two support or resistance levels are too close to each other (based on the minimum distance percentage), the weaker level (with fewer touches) is removed to avoid clutter. Visualization: Support levels are displayed as dashed red lines, and resistance levels are displayed as dashed blue lines. Each level is labeled with its corresponding touch count, allowing traders to quickly assess its strength. How to Interpret the Indicator Strong Support/Resistance Levels: Levels with higher touch counts (e.g., 5, 10, or more) are considered stronger and are more likely to hold in the future. Use these levels to plan entries, exits, or stop-loss placements. Proximity to WMAs: Levels closest to the 50-period or 100-period WMA are more significant, especially in trending markets. These levels often act as dynamic barriers where price reactions are more likely. Breakouts and Rejections: If the price breaks through a strong resistance level, it may indicate a potential bullish trend. If the price rejects a strong support level, it may indicate a potential bearish trend. Always confirm breakouts or rejections with additional analysis (e.g., volume, candlestick patterns). Level Merging: Merged levels indicate areas of high confluence, where multiple support/resistance zones overlap. These areas are particularly important for decision-making, as they represent stronger market reactions. Key Features Customizable Lookback Periods: Adjust the lookback periods for each dynamic level to suit your trading style. Touch Count Labels: Quickly identify the strength of each level based on the number of price touches. Adaptive Levels: The indicator dynamically updates levels based on recent price action. Clean Visualization: Levels are automatically merged to avoid clutter and provide a clear view of the market structure. Usage Tips Trend Identification: Combine the indicator with trend-following tools (e.g., moving averages, trendlines) to confirm the overall market direction. Risk Management: Use the identified levels to set stop-loss orders or take-profit targets. Timeframe Flexibility: The indicator works on all timeframes, but it is particularly effective on higher timeframes (e.g., 1H, 4H, Daily) for more reliable levels. Example Scenarios Bounce Trade: If the price approaches a strong support level (high touch count) and shows signs of rejection (e.g., bullish candlestick patterns), consider a long position with a stop-loss below the support level. Breakout Trade: If the price breaks above a strong resistance level with high volume, consider a long position with a target at the next resistance level. Range-Bound Market: In a sideways market, use the support and resistance levels to identify range boundaries and trade bounces between them. Disclaimer Dynamic S/R Levels: Edge Finder is a technical analysis tool designed to identify dynamic support and resistance levels based on historical price action. It is intended for informational and educational purposes only. This indicator does not provide financial, investment, or trading advice. Users are solely responsible for their trading decisions and should conduct their own research and analysis before making any trades. The developer of this tool is not liable for any financial losses or damages resulting from the use of this indicator. Trading in financial markets involves risk, and you should only trade with capital you can afford to lose.
อินดิเคเตอร์ Pine Script™
โดย alwaysfree2021
1
Machine Learning Price Target Prediction Signals [AlgoAlpha]Introducing the Machine Learning Price Target Predictions, a cutting-edge trading tool that leverages kernel regression to provide accurate price targets and enhance your trading strategy. This indicator combines trend-based signals with advanced machine learning techniques, offering predictive insights into potential price movements. Perfect for traders looking to make data-driven decisions with confidence. What is Kernel Regression and How It Works Kernel regression is a non-parametric machine learning technique that estimates the relationship between variables by weighting data points based on their similarity to a given input. The similarity is determined using a kernel function, such as the Gaussian (RBF) kernel, which assigns higher weights to closer data points and progressively lower weights to farther ones. This allows the model to make smooth and adaptive predictions, balancing recent data and historical trends. Key Features 🎯 Predictive Price Targets : Uses kernel regression to estimate the magnitude of price movements. 📈 Dynamic Trend Analysis : Multiple trend detection methods, including EMA crossovers, Hull Moving Average, and SuperTrend. 🔧 Customizable Settings : Adjust bandwidth for kernel regression and tweak trend indicator parameters to suit your strategy. 📊 Visual Trade Levels : Displays take-profit and stop-loss levels directly on the chart with customizable colors. 📋 Performance Metrics : Real-time win rate, recommended risk-reward ratio, and training data size displayed in an on-chart table. 🔔 Alerts : Get notified for new trends, take-profit hits, and stop-loss triggers. How to Use 🛠 Add the Indicator : Add it to your favorites and apply it to your chart. Configure the trend detection method (SuperTrend, HMA, or EMA crossover) and other parameters based on your preferences. 📊 Analyze Predictions : Observe the predicted move size, recommended risk-reward ratio, and trend direction. Use the displayed levels for trade planning. 🔔 Set Alerts : Enable alerts for trend signals, take-profit hits, or stop-loss triggers to stay informed without constant monitoring. How It Works The indicator calculates features such as price volatility, relative strength, and trend signals, which are stored during training periods. When a trend change is detected, the kernel regression model predicts the likely price move based on these features. Predictions are smoothed using the specified bandwidth to avoid overfitting while ensuring timely responses to feature changes. Visualized take-profit and stop-loss levels help traders optimize risk management. Real-time metrics like win rate and recommended risk-reward ratios provide actionable insights for decision-making.
อินดิเคเตอร์ Pine Script™
โดย AlgoAlpha
16
ADX-DMIThis script manually calculates the Directional Movement Index (DMI) and the Average Directional Index (ADX) using Wilder’s smoothing technique. The DMI indicators are used to assess the strength and direction of a market trend. It includes three main lines: ADX (yellow), DI+ (green), and DI− (red). Traders use these indicators to determine whether a trend is strong and in which direction it is moving. The process begins by defining the length parameter, which determines how many periods are considered in the calculation. It then calculates the True Range (TR), which is the greatest of three values: the difference between the current high and low, the difference between the current high and the previous close, and the difference between the current low and the previous close. This TR is used to compute the Average True Range (ATR), which smooths out price fluctuations to get a clearer picture of the market’s volatility. Next, the script calculates the +DM (positive directional movement) and -DM (negative directional movement) based on the changes in the highs and lows from one period to the next. Finally, the script computes the DI+ and DI− values by dividing the smoothed +DM and -DM by the ATR and multiplying by 100 to express them as percentages. The DX value is calculated as the absolute difference between DI+ and DI−, normalized by the sum of both values. The ADX is then derived by smoothing the DX value over the specified length. The three indicators — ADX, DI+, and DI− — are plotted in the lower chart panel, providing traders with visual cues about the trend’s direction (DI+ and DI−) and strength (ADX). Important Notice: The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research. Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data before applying them in live trading scenarios. Disclaimer: Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research before making any trading decisions.
อินดิเคเตอร์ Pine Script™
โดย DinoTradez
MB 3ST+EMA+StochRSI Martin Buecker 16.01.2025Short Description of the Indicator "MB 3ST+EMA+StochRSI Martin Buecker 16.01.2025" This trend-following and momentum-based indicator combines Supertrend, EMA 200, and Stochastic RSI to generate buy and sell signals with improved accuracy. 1. Key Components Supertrend (3 variations): Uses three Supertrend indicators with different periods to confirm trend direction. Buy signal when at least 2 Supertrends are bearish. Sell signal when at least 2 Supertrends are bullish. EMA 200 (Exponential Moving Average): Buy signals only when the price is above EMA 200 (uptrend confirmation). Sell signals only when the price is below EMA 200 (downtrend confirmation). Multi-Timeframe Stochastic RSI: Uses a higher timeframe Stoch RSI (default: 15 minutes) to filter signals. Buy signal when %K crosses above %D (bullish momentum). Sell signal when %K crosses below %D (bearish momentum). 2. Signal Generation 📈 Buy Signal Conditions: ✅ At least 2 of 3 Supertrends are bearish ✅ Price is above EMA 200 ✅ Stoch RSI shows a bullish crossover (%K > %D) 📉 Sell Signal Conditions: ✅ At least 2 of 3 Supertrends are bullish ✅ Price is below EMA 200 ✅ Stoch RSI shows a bearish crossover (%K < %D) 3. Visual Representation & Alerts Supertrend Lines: Green = Bullish, Red = Bearish EMA 200: White Line Buy/Sell Signals: Green triangle (below bar) = Buy Red triangle (above bar) = Sell Alerts: Notifies users when a buy or sell signal is triggered. Background Coloring: Green for Buy signals, Red for Sell signals 4. Purpose & Benefits 🔥 Combines trend (EMA 200, Supertrend) and momentum analysis (Stoch RSI) for better signal accuracy. 🔥 Works best in trending markets, filtering out false signals in sideways movements. 🔥 Suitable for scalping and day trading, providing clear and structured trade entries.
อินดิเคเตอร์ Pine Script™
โดย buecker
2
Pivot and Golden Crossover Swing Strategy### Strategy Description: This **Pivot and Golden Crossover Swing Strategy** combines moving averages and pivot points to identify potential swing trade opportunities. It is designed for traders who want to leverage momentum and key price levels in their decisions. #### Key Features: 1. **Golden Crossover**: - A long position is triggered when the short moving average (50-period by default) crosses above the long moving average (200-period by default). - A short position is triggered when the short moving average crosses below the long moving average. 2. **Pivot Points**: - Identifies recent high and low pivot levels based on a user-defined lookback period (default is 5 candles). - Pivot points are used to determine entry levels and calculate stop-loss and take-profit targets. 3. **Risk Management**: - Stop-loss levels are set relative to pivot points with a user-defined multiplier (default: 1.5x). - Take-profit targets are based on the distance between moving averages, adjusted by a multiplier (default: 2.0x). 4. **Visual Indicators**: - Moving averages are plotted on the chart for trend visualization. - Pivot points are marked with triangle shapes for easy identification. #### Use Case: This strategy works well in trending markets where golden crossovers indicate momentum shifts. The pivot points ensure precise trade management, making it suitable for swing traders aiming to capture medium-term price movements. Let me know if you'd like any further details or adjustments!
กลยุทธ์ Pine Script™
โดย hukumatsingh
Order Flow VWAP chatGPTVWAP: El cálculo del VWAP se hace con la función ta.vwap(), que toma el cierre de cada barra para ponderarlo por el volumen de esa barra. Bandas de VWAP: Este script también calcula bandas superiores e inferiores del VWAP usando una desviación estándar. Estas bandas ayudan a visualizar áreas de sobrecompra o sobreventa. Opciones de visualización: Puedes activar o desactivar las bandas de VWAP con el parámetro show_bands. Estilo y color: Puedes personalizar los colores, el ancho de las líneas y las bandas, según lo que prefieras para tu gráfico.
อินดิเคเตอร์ Pine Script™
โดย KARMONYFX
1
Daily Open LineIndicator Goal/Objective: This is a Simple Code to show Daily Open Level in chart This script plots a circle at the open price of the current day on the chart. It marks the first bar's open price of each new trading day and keeps the same value for the rest of the day until a new trading day begins. It is only for analysis purpose only. it is not a new indicator and can be replica of any other persons indicator. The purpose of making indicator as an individual indicator is only for easiness.
อินดิเคเตอร์ Pine Script™
โดย ASK_Dinesh_Kumar
CCI Buy Signal//@version=5 indicator("CCI Buy Signal", overlay=true) // Inputs for CCI length = input.int(14, title="CCI Length") src = input.source(close, title="Source") // Calculate CCI cci = ta.cci(src, length) prev_cci = ta.valuewhen(bar_index > 0, cci , 0) // Buy condition buySignal = (cci < -100) and (cci > prev_cci) // Plot CCI plot(cci, color=color.blue, title="CCI") hline(100, color=color.red, linestyle=hline.style_dotted, title="Upper Threshold") hline(0, color=color.gray, linestyle=hline.style_dotted, title="Zero Line") hline(-100, color=color.red, linestyle=hline.style_dotted, title="Lower Threshold") // Plot Buy Signal as Arrow plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal Arrow")
อินดิเคเตอร์ Pine Script™
โดย helpfulTruffle94135