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DeNoised Momentum [OmegaTools]The DeNoised Momentum by OmegaTools is a versatile tool designed to help traders evaluate momentum, acceleration, and noise-reduction levels in price movements. Using advanced mathematical smoothing techniques, this script provides a "de-noised" view of momentum by applying filters to reduce market noise. This helps traders gain insights into the strength and direction of price trends without the distractions of market volatility. Key components include a DeNoised Moving Average (MA), a Momentum line, and Acceleration bars to identify trend shifts more clearly. Features: - Momentum Line: Measures the percentage change of the de-noised source price over a specified look-back period, providing insights into trend direction. - Acceleration (Ret) Bars: Visualizes the rate of change of the source price, helping traders identify momentum shifts. - Normal and DeNoised Moving Averages: Two moving averages, one based on close price (Normal MA) and the other on de-noised data (DeNoised MA), enable a comparison of smoothed trends versus typical price movements. - DeNoised Price Data Plot: Displays the current de-noised price, color-coded to indicate the relationship between the Normal and DeNoised MAs, which highlights bullish or bearish conditions. Script Inputs: - Length (lnt): Sets the period for calculations (default: 21). It influences the sensitivity of the momentum and moving averages. Higher values will smooth the indicator further, while lower values increase sensitivity to price changes. The Length does not change the formula of the DeNoised Price Data, it only affects the indicators calculated on it. Indicator Components: 1. Momentum (Blue/Red Line): - Calculated using the log of the percentage change over the specified period. - Blue color indicates positive momentum; red indicates negative momentum. 2. Acceleration (Gray Columns): - Measures the short-term rate of change in momentum, shown as semi-transparent gray columns. 3. Moving Averages: - Normal MA (Purple): A standard simple moving average (SMA) based on the close price over the selected period. - DeNoised MA (Gray): An SMA of the de-noised source, reducing the effect of market noise. 4. DeNoised Price Data: - Represented as colored circles, with blue indicating that the Normal MA is above the DeNoised MA (bullish) and red indicating the opposite (bearish). Usage Guide: 1. Trend Identification: - Use the Momentum line to assess overall trend direction. Positive values indicate upward momentum, while negative values signal downward momentum. - Compare the Normal and DeNoised MAs: when the Normal MA is above the DeNoised MA, it indicates a bullish trend, and vice versa for bearish trends. 2. Entry and Exit Signals: - A change in the Momentum line's color from blue to red (or vice versa) may indicate potential entry or exit points. - Observe the DeNoised Price Data circles for early signs of a trend reversal based on the interaction between the Normal and DeNoised MAs. 3. Volatility and Noise Reduction: - By utilizing the DeNoised MA and de-noised price data, this indicator helps filter out minor fluctuations and focus on larger price movements, improving decision-making in volatile markets.
Индикатор Pine Script™
от OmegaTools
Candlestick Pattern Strategy with RSI, MACD, and Moving AveragesThis script combines powerful candlestick patterns with key indicators (RSI, MACD, and Moving Averages) to provide strong, reliable signals for options trading or general trading. By analyzing multiple conditions, it reduces false signals and provides trade recommendations only when the candlestick patterns align with the overall trend and momentum. Key Features: Candlestick Patterns: Hammer: Signals a bullish reversal when it appears at the bottom of a downtrend. This pattern suggests that buyers are stepping in to push the price up. Shooting Star: Signals a bearish reversal when it appears at the top of an uptrend, indicating that sellers have taken control. Indicators Used: Moving Averages (SMA): Uses a short-term (9-period) and a long-term (21-period) SMA to identify the overall trend. A bullish trend is confirmed when the short SMA is above the long SMA, and a bearish trend when the short SMA is below the long SMA. Relative Strength Index (RSI): A momentum indicator. Bullish signals are confirmed when the RSI is above 50, indicating positive momentum, and bearish signals when the RSI is below 50. MACD: A trend-following indicator. Bullish signals are confirmed when the MACD line is above the Signal line, and bearish signals when the MACD line is below the Signal line. How It Works: Bullish Signal (Call): Generated when a Hammer pattern appears, the short SMA is above the long SMA, RSI is above 50, and the MACD line is above the Signal line. This indicates a high-probability uptrend, making it a good time to consider a Call option. Bearish Signal (Put): Triggered when a Shooting Star pattern appears, the short SMA is below the long SMA, RSI is below 50, and the MACD line is below the Signal line. This indicates a high-probability downtrend, making it a good time to consider a Put option. Visual Cues: Arrows on the chart indicate buy (Call) or sell (Put) signals based on the pattern. Background color changes to green or red depending on the bullish or bearish conditions, helping you quickly spot trends. Text labels for "CALL OPTION," "PUT OPTION," or "NO SIGNAL" are added to each bar for additional clarity. Use Cases: This strategy is suitable for: Options Traders: Helps in identifying high-probability Call or Put scenarios based on trend and momentum. Trend Followers: Allows traders to enter the trend with confirmation, reducing the likelihood of false signals. Swing Traders: Effective for identifying reversals at key levels, supported by additional indicators. Disclaimer: This script is for educational purposes only and should not be considered financial advice. Always perform your own research and backtest strategies before trading with real funds. Market conditions can vary, so it’s essential to adjust the parameters and use risk management practices.
Индикатор Pine Script™
от HiddenPython
2024_V01 - ComLucroRPI - ComLucro Relative PerformanceTake your analysis to the next level with the 2024_V01 - ComLucroRPI - ComLucro Relative Performance indicator, designed to track and visualize an asset’s relative performance against a selected index with precision and clarity. This script is perfect for traders and analysts who want to assess how an asset is performing over various timeframes relative to a benchmark index (defaulting to the S&P 500). Gain deeper insight into trends and make more informed trading decisions by comparing performance across multiple time intervals directly on your chart. ✨ Key Features: Relative Performance Tracking: Measure your asset’s performance relative to a benchmark index over customizable periods (default: 20, 50, and 200 periods). Ideal for evaluating trends in short, medium, and long-term horizons. Dynamic Color Coding: Instantly see performance trends at a glance. Positive performance values are displayed in green, neutral (0%) in yellow, and negative performance in red, providing an easy-to-read visual cue. Adjustable Summary Label: Includes a detailed summary label of relative performance for each period, positioned at the end of the indicator pane. This label can be toggled on or off, allowing you to customize your display for clarity and focus. Customizable Colors and Settings: Adjust the colors of performance lines and configure index symbols, making it adaptable to your personal trading style and preference. User-Friendly Integration: Positioned in a separate indicator window, this tool keeps your primary price chart clean and focused while offering advanced comparative data just below it. 🔧 How It Works: The script calculates the percentage change of the asset’s closing price and the selected index over the specified lookback periods (e.g., 20, 50, 200 periods). It plots the relative performance lines in the indicator pane, with each line representing one of the selected periods. A detailed summary label is optionally displayed, showing the asset’s and index’s percentage changes for each period, with easy-to-interpret color-coded values. 🚀 Optimize Your Trading Strategy with Comparative Insights! For traders and analysts seeking refined tools for evaluating asset performance relative to major indices, this script is an invaluable addition. Whether you’re using it for trend analysis, portfolio comparison, or as part of a larger trading strategy, the 20241105 - CL-RPI provides essential insights to support your decision-making process. 🔗 Stay updated! Follow us on YouTube at ComLucro Trader for more tutorials, tips, and tools to advance your trading! 🌐 Explore more at comlucro.com.br : Access exclusive scripts, in-depth insights, and strategies tailored to elevate your market understanding and performance.
Индикатор Pine Script™
от comlucro
RSI & Impulse MACD Buy/Sell Signal//@version=5 indicator("RSI & Impulse MACD Buy/Sell Signal", overlay=true) // Define RSI settings rsiPeriod = 14 rsiSource = close rsi = ta.rsi(rsiSource, rsiPeriod) // Define MACD settings macdFastLength = 12 macdSlowLength = 26 macdSignalSmoothing = 9 = ta.macd(close, macdFastLength, macdSlowLength, macdSignalSmoothing) // Detect MACD crossing above and below zero macdAboveZero = ta.crossover(macdLine, 0) macdBelowZero = ta.crossunder(macdLine, 0) // Function to check for RSI bullish divergence isBullishDivergence(rsiSource, rsi) => // Find the lowest low of the last 5 bars low1 = ta.valuewhen(low == ta.lowest(low, 5), low, 0) low2 = ta.valuewhen(low == ta.lowest(low, 5), low, 1) // Find corresponding RSI values at those lows rsi1 = ta.valuewhen(low == ta.lowest(low, 5), rsi, 0) rsi2 = ta.valuewhen(low == ta.lowest(low, 5), rsi, 1) // Check if we have a bullish divergence: price makes a lower low, and RSI makes a higher low priceDivergence = (low1 < low2) and (rsi1 > rsi2) priceDivergence // Function to check for RSI bearish divergence isBearishDivergence(rsiSource, rsi) => // Find the highest high of the last 5 bars high1 = ta.valuewhen(high == ta.highest(high, 5), high, 0) high2 = ta.valuewhen(high == ta.highest(high, 5), high, 1) // Find corresponding RSI values at those highs rsi1 = ta.valuewhen(high == ta.highest(high, 5), rsi, 0) rsi2 = ta.valuewhen(high == ta.highest(high, 5), rsi, 1) // Check if we have a bearish divergence: price makes a higher high, and RSI makes a lower high priceDivergence = (high1 > high2) and (rsi1 < rsi2) priceDivergence // Check for bullish and bearish divergences in RSI bullishDivergence = isBullishDivergence(rsiSource, rsi) bearishDivergence = isBearishDivergence(rsiSource, rsi) // Condition for Buy Signal: MACD crossing above zero + RSI bullish divergence buySignal = macdAboveZero and bullishDivergence // Condition for Sell Signal: MACD crossing below zero + RSI bearish divergence sellSignal = macdBelowZero and bearishDivergence // Plot buy and sell signals on the chart plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // Plot RSI and MACD on the chart for reference plot(rsi, title="RSI", color=color.blue, linewidth=1) hline(70, "Overbought", color=color.red) hline(30, "Oversold", color=color.green) plot(macdLine, title="MACD Line", color=color.blue) plot(signalLine, title="Signal Line", color=color.orange) hline(0, "MACD Zero Line", color=color.gray)
Индикатор Pine Script™
от HyAly
Pulse DPO: Major Cycle Tops and Bottoms█  OVERVIEW Pulse DPO is an oscillator designed to highlight Major Cycle Tops and Bottoms . It works on any market driven by cycles. It operates by removing the short-term noise from the price action and focuses on the market's cyclical nature. This indicator uses a Normalized version of the Detrended Price Oscillator (DPO) on a 0-100 scale, making it easier to identify major tops and bottoms. Credit: The DPO was first developed by William Blau in 1991. █  HOW TO READ IT Pulse DPO oscillates in the range between 0 and 100. A value in the upper section signals an OverBought (OB) condition, while a value in the lower section signals an OverSold (OS) condition. Generally, the triggering of OB and OS conditions don't necessarily translate into swing tops and bottoms, but rather suggest caution on approaching a market that might be overextended. Nevertheless, this indicator has been customized to trigger the signal only during remarkable top and bottom events. I suggest using it on the Daily Time Frame , but you're free to experiment with this indicator on other time frames. The indicator has Built-in Alerts to signal the crossing of the Thresholds. Please don't act on an isolated signal, but rather integrate it to work in conjunction with the indicators present in your Trading Plan. █  OB SIGNAL ON: ENTERING OVERBOUGHT CONDITION When Pulse DPO crosses Above the Top Threshold it Triggers ON the OB signal. At this point the oscillator line shifts to OB color. When Pulse DPO enters the OB Zone, please beware! In this Area the Major Players usually become Active Sellers to the Public. While the OB signal is On, it might be wise to Consider Selling a portion or the whole Long Position. Please note that even though this indicator aims to focus on major tops and bottoms, a strong trending market might trigger the OB signal and stay with it for a long time. That's especially true on young markets and on bubble-mode markets. █  OB SIGNAL OFF: EXITING OVERBOUGHT CONDITION When Pulse DPO crosses Below the Top Threshold it Triggers OFF the OB signal. At this point the oscillator line shifts to its normal color. When Pulse DPO exits the OB Zone, please beware because a Major Top might just have occurred. In this Area the Major Players usually become Aggressive Sellers. They might wind up any remaining Long Positions and Open new Short Positions. This might be a good area to Open Shorts or to Close/Reverse any remaining Long Position. Whatever you choose to do, it's usually best to act quickly because the market is prone to enter into panic mode. █  OS SIGNAL ON: ENTERING OVERSOLD CONDITION When Pulse DPO crosses Below the Bottom Threshold it Triggers ON the OS signal. At this point the oscillator line shifts to OS color. When Pulse DPO enters the OS Zone, please beware because in this Area the Major Players usually become Active Buyers accumulating Long Positions from the desperate Public. While the OS signal is On, it might be wise to Consider becoming a Buyer or to implement a Dollar-Cost Averaging (DCA) Strategy to build a Long Position towards the next Cycle. In contrast to the tops, the OS state usually takes longer to resolve a major bottom. █  OS SIGNAL OFF: EXITING OVERSOLD CONDITION When Pulse DPO crosses Above the Bottom Threshold it Triggers OFF the OS signal. At this point the oscillator line shifts to its normal color. When Pulse DPO exits the OS Zone, please beware because a Major Bottom might already be in place. In this Area the Major Players become Aggresive Buyers. They might wind up any remaining Short Positions and Open new Long Positions. This might be a good area to Open Longs or to Close/Reverse any remaining Short Positions. █  WHY WOULD YOU BE INTERESTED IN THIS INDICATOR? This indicator is built over a solid foundation capable of signaling Major Cycle Tops and Bottoms across many markets. Let's see some examples: Early Bitcoin Years: From 0 to 1242 This chart is in logarithmic mode in order to properly display various exponential cycles. Pulse DPO is properly signaling the major early highs from 9-Jun-2011 at 31.50, to the next one on 9-Apr-2013 at 240 and the epic top from 29-Nov-2013 at 1242. Due to the massive price movements, the OB condition stays pinned during most of the exponential price action. But as you can see, the OB condition quickly vanishes once the Cycle Top has been reached. As the market matures, the OB condition becomes more exceptional and triggers much closer from the Cycle Top. With regards to Cycle Bottoms, the early bottom of 2 after having peaked at 31.50 doesn’t get captured by the indicator. That is the only cycle bottom that escapes the Pulse DPO when the bottom threshold is set at a value of 5. In that event, the oscillator low reached 6.95. Bitcoin Adoption Spreading: From 257 to 73k This chart is in logarithmic mode in order to properly display various exponential cycles. Pulse DPO is properly signaling all the major highs from 17-Dec-2017 at 19k, to the next one on 14-Apr-2021 at 64k and the most recent top from 9-Nov-2021 at 68k. During the massive run of 2017, the OB condition still stayed triggered for a few weeks on each swing top. But on the next cycles it started to signal only for a few days before each swing top actually happened. The OB condition during the last cycle top triggered only for 3 days. Therefore the signal grows in focus as the market matures. At the time of publishing this indicator, Bitcoin printed a new All Time High (ATH) on 13-Mar-2024 at 73k. That run didn’t trigger the OB condition. Therefore, if the indicator is correct the Bitcoin market still has some way to grow during the next months. With regards to Cycle Bottoms, the bottom of 3k after having peaked at19k got captured within the wide OS zone. The bottom of 15k after having peaked at 68k got captured too within the OS accumulation area. Gold Pulse DPO behaves surprisingly well on a long standing market such as Gold. Moving back to the 197x years it’s been signaling most Cycle Tops and Bottoms with precision. During the last cycle, it shows topping at 2k and bottoming at 1.6k. The current price action is signaling OB condition in the range of 2.5k to 2.7k. Looking at past cycles, it tends to trigger on and off at multiple swing tops until reaching the final cycle top. Therefore this might indicate the first wave within a potential gold run. Oil On the Oil market, we can see that most of the cycle tops and bottoms since the 80s got signaled. The only exception being the low from 2020 which didn’t trigger. EURUSD On Forex markets the Pulse DPO also behaves as expected. Looking back at EURUSD we can see the marketing triggering OB and OS conditions during major cycle tops and bottoms from recent times until the 80s. S&P 500 On the S&P 500 the Pulse DPO catched the lows from 2016 and 2020. Looking at present price action, the recent ATH didn’t trigger the OB condition. Therefore, the indicator is allowing room for another leg up during the next months. Amazon On the Amazon chart the Pulse DPO is mirroring pretty accurately the major swings. Scrolling back to the early 2000s, this chart resembles early exponential swings in the crypto space. Tesla Moving onto a younger tech stock, Pulse DPO captures pretty accurately the major tops and bottoms. The chart is shown in logarithmic scale to better display the magnitude of the moves. █  SETTINGS This indicator is ideal for identifying major market turning points while filtering out short-term noise. You are free to adjust the parameters to align with your preferred trading style. Parameters : This section allows you to customize any of the Parameters that shape the Oscillator. Oscillator Length: Defines the period for calculating the Oscillator. Offset: Shifts the oscillator calculation by a certain number of periods, which is typically half the Oscillator Length. Lookback Period: Specifies how many bars to look back to find tops and bottoms for normalization. Smoothing Length: Determines the length of the moving average used to smooth the oscillator. Thresholds : This section allows you to customize the Thresholds that trigger the OB and OS conditions. Top: Defines the value of the Top Threshold. Bottom: Defines the value of the Bottom Threshold.
Индикатор Pine Script™
от gliderfund
Long Short MomentumThis indicator is designed to visualize short-term and long-term momentum trends.The indicator calculates two momentum lines based on customizable lengths: a short momentum (Short Momentum) over a smaller period and a long momentum (Long Momentum) over a longer period. These lines are plotted relative to the chosen price source, typically the closing price. The histogram, colored dynamically based on momentum direction, gives visual cues: Green: Both short and long momentum are positive, indicating an upward trend. Red: Both are negative, indicating a downward trend. Gray: Mixed momentum, suggesting potential trend indecision.
Индикатор Pine Script™
от frak_mat
The Most Powerful TQQQ EMA Crossover Trend Trading StrategyTQQQ EMA Crossover Strategy Indicator Meta Title: TQQQ EMA Crossover Strategy - Enhance Your Trading with Effective Signals Meta Description: Discover the TQQQ EMA Crossover Strategy, designed to optimize trading decisions with fast and slow EMA crossovers. Learn how to effectively use this powerful indicator for better trading results. Key Features The TQQQ EMA Crossover Strategy is a powerful trading tool that utilizes Exponential Moving Averages (EMAs) to identify potential entry and exit points in the market. Key features of this indicator include: **Fast and Slow EMAs:** The strategy incorporates two EMAs, allowing traders to capture short-term trends while filtering out market noise. **Entry and Exit Signals:** Automated signals for entering and exiting trades based on EMA crossovers, enhancing decision-making efficiency. **Customizable Parameters:** Users can adjust the lengths of the EMAs, as well as take profit and stop loss multipliers, tailoring the strategy to their trading style. **Visual Indicators:** Clear visual plots of the EMAs and exit points on the chart for easy interpretation. How It Works The TQQQ EMA Crossover Strategy operates by calculating two EMAs: a fast EMA (default length of 20) and a slow EMA (default length of 50). The core concept is based on the crossover of these two moving averages: - When the fast EMA crosses above the slow EMA, it generates a *buy signal*, indicating a potential upward trend. - Conversely, when the fast EMA crosses below the slow EMA, it produces a *sell signal*, suggesting a potential downward trend. This method allows traders to capitalize on momentum shifts in the market, providing timely signals for trade execution. Trading Ideas and Insights Traders can leverage the TQQQ EMA Crossover Strategy in various market conditions. Here are some insights: **Scalping Opportunities:** The strategy is particularly effective for scalping in volatile markets, allowing traders to make quick profits on small price movements. **Swing Trading:** Longer-term traders can use this strategy to identify significant trend reversals and capitalize on larger price swings. **Risk Management:** By incorporating customizable stop loss and take profit levels, traders can manage their risk effectively while maximizing potential returns. How Multiple Indicators Work Together While this strategy primarily relies on EMAs, it can be enhanced by integrating additional indicators such as: - **Relative Strength Index (RSI):** To confirm overbought or oversold conditions before entering trades. - **Volume Indicators:** To validate breakout signals, ensuring that price movements are supported by sufficient trading volume. Combining these indicators provides a more comprehensive view of market dynamics, increasing the reliability of trade signals generated by the EMA crossover. Unique Aspects What sets this indicator apart is its simplicity combined with effectiveness. The reliance on EMAs allows for smoother signals compared to traditional moving averages, reducing false signals often associated with choppy price action. Additionally, the ability to customize parameters ensures that traders can adapt the strategy to fit their unique trading styles and risk tolerance. How to Use To effectively utilize the TQQQ EMA Crossover Strategy: 1. **Add the Indicator:** Load the script onto your TradingView chart. 2. **Set Parameters:** Adjust the fast and slow EMA lengths according to your trading preferences. 3. **Monitor Signals:** Watch for crossover points; enter trades based on buy/sell signals generated by the indicator. 4. **Implement Risk Management:** Set your stop loss and take profit levels using the provided multipliers. Regularly review your trading performance and adjust parameters as necessary to optimize results. Customization The TQQQ EMA Crossover Strategy allows for extensive customization: - **EMA Lengths:** Change the default lengths of both fast and slow EMAs to suit different time frames or market conditions. - **Take Profit/Stop Loss Multipliers:** Adjust these values to align with your risk management strategy. For instance, increasing the take profit multiplier may yield larger gains but could also increase exposure to market fluctuations. This flexibility makes it suitable for various trading styles, from aggressive scalpers to conservative swing traders. Conclusion The TQQQ EMA Crossover Strategy is an effective tool for traders seeking an edge in their trading endeavors. By utilizing fast and slow EMAs, this indicator provides clear entry and exit signals while allowing for customization to fit individual trading strategies. Whether you are a scalper looking for quick profits or a swing trader aiming for larger moves, this indicator offers valuable insights into market trends. Incorporate it into your TradingView toolkit today and elevate your trading performance!
Стратегия Pine Script™
от Pineify
Z-Score RSI StrategyOverview The Z-Score RSI Indicator is an experimental take on momentum analysis. By applying the Relative Strength Index (RSI) to a Z-score of price data, it measures how far prices deviate from their mean, scaled by standard deviation. This isn’t your traditional use of RSI, which is typically based on price data alone. Nevertheless, this unconventional approach can yield unique insights into market trends and potential reversals. Theory and Interpretation The RSI calculates the balance between average gains and losses over a set period, outputting values from 0 to 100. Typically, people look at the overbought or oversold levels to identify momentum extremes that might be likely to lead to a reversal. However, I’ve often found that RSI can be effective for trend-following when observing the crossover of its moving average with the midline or the crossover of the RSI with its own moving average. These crossovers can provide useful trend signals in various market conditions. By combining RSI with a Z-score of price, this indicator estimates the relative strength of the price’s distance from its mean. Positive Z-score trends may signal a potential for higher-than-average prices in the near future (scaled by the standard deviation), while negative trends suggest the opposite. Essentially, when the Z-Score RSI indicates a trend, it reflects that the Z-score (the distance between the average and current price) is likely to continue moving in the trend’s direction. Generally, this signals a potential price movement, though it’s important to note that this could also occur if there’s a shift in the mean or standard deviation, rather than a meaningful change in price itself. While the Z-Score RSI could be an insightful addition to a comprehensive trading system, it should be interpreted carefully. Mean shifts may validate the indicator’s predictions without necessarily indicating any notable price change, meaning it’s best used in tandem with other indicators or strategies. Recommendations Before putting this indicator to use, conduct thorough backtesting and avoid overfitting. The added parameters allow fine-tuning to fit various assets, but be careful not to optimize purely for the highest historical returns. Doing so may create an overly tailored strategy that performs well in backtests but fails in live markets. Keep it balanced and look for robust performance across multiple scenarios, as overfitting is likely to lead to disappointing real-world results.
Стратегия Pine Script™
от nathanfarmer
XAUUSD 10-Minute StrategyThis XAUUSD 10-Minute Strategy is designed for trading Gold vs. USD on a 10-minute timeframe. By combining multiple technical indicators (MACD, RSI, Bollinger Bands, and ATR), the strategy effectively captures both trend-following and reversal opportunities, with adaptive risk management for varying market volatility. This approach balances high-probability entries with robust volatility management, making it suitable for traders seeking to optimise entries during significant price movements and reversals. Key Components and Logic: MACD (12, 26, 9): Generates buy signals on MACD Line crossovers above the Signal Line and sell signals on crossovers below the Signal Line, helping to capture momentum shifts. RSI (14): Utilizes oversold (below 35) and overbought (above 65) levels as a secondary filter to validate entries and avoid overextended price zones. Bollinger Bands (20, 2): Uses upper and lower Bollinger Bands to identify potential overbought and oversold conditions, aiming to enter long trades near the lower band and short trades near the upper band. ATR-Based Stop Loss and Take Profit: Stop Loss and Take Profit levels are dynamically set as multiples of ATR (3x for stop loss, 5x for take profit), ensuring flexibility with market volatility to optimise exit points. Entry & Exit Conditions: Buy Entry: T riggered when any of the following conditions are met: MACD Line crosses above the Signal Line RSI is oversold Price drops below the lower Bollinger Band Sell Entry: Triggered when any of the following conditions are met: MACD Line crosses below the Signal Line RSI is overbought Price moves above the upper Bollinger Band Exit Strategy: Trades are closed based on opposing entry signals, with adaptive spread adjustments for realistic exit points. Backtesting Configuration & Results: Backtesting Period: July 21, 2024, to October 30, 2024 Symbol Info: XAUUSD, 10-minute timeframe, OANDA data source Backtesting Capital: Initial capital of $700, with each trade set to 10 contracts (equivalent to approximately 0.1 lots based on the broker’s contract size for gold). Users should confirm their broker's contract size for gold, as this may differ. This script uses 10 contracts for backtesting purposes, aligned with 0.1 lots on brokers offering a 100-contract specification. Key Backtesting Performance Metrics: Net Profit: $4,733.90 USD (676.27% increase) Total Closed Trades: 526 Win Rate: 53.99% Profit Factor: 1.44 (1.96 for Long trades, 1.14 for Short trades) Max Drawdown: $819.75 USD (56.33% of equity) Sharpe Ratio: 1.726 Average Trade: $9.00 USD (0.04% of equity per trade) This backtest reflects realistic conditions, with a spread adjustment of 38 points and no slippage or commission applied. The settings aim to simulate typical retail trading conditions. However, please adjust the initial capital, contract size, and other settings based on your account specifics for best results. Usage: This strategy is tuned specifically for XAUUSD on a 10-minute timeframe, ideal for both trend-following and reversal trades. The ATR-based stop loss and take profit levels adapt dynamically to market volatility, optimising entries and exits in varied conditions. To backtest this script accurately, ensure your broker’s contract specifications for gold align with the parameters used in this strategy.
Стратегия Pine Script™
от smuk90
SuperATR 7-Step Profit - Strategy [presentTrading] Long time no see! █ Introduction and How It Is Different The SuperATR 7-Step Profit Strategy is a multi-layered trading approach that integrates adaptive Average True Range (ATR) calculations with momentum-based trend detection. What sets this strategy apart is its sophisticated 7-step take-profit mechanism, which combines four ATR-based exit levels and three fixed percentage levels. This hybrid approach allows traders to dynamically adjust to market volatility while systematically capturing profits in both long and short market positions. Traditional trading strategies often rely on static indicators or single-layered exit strategies, which may not adapt well to changing market conditions. The SuperATR 7-Step Profit Strategy addresses this limitation by: - Using Adaptive ATR: Enhances the standard ATR by making it responsive to current market momentum. - Incorporating Momentum-Based Trend Detection: Identifies stronger trends with higher probability of continuation. - Employing a Multi-Step Take-Profit System: Allows for gradual profit-taking at predetermined levels, optimizing returns while minimizing risk. BTCUSD 6hr Performance █ Strategy, How It Works: Detailed Explanation The strategy revolves around detecting strong market trends and capitalizing on them using an adaptive ATR and momentum indicators. Below is a detailed breakdown of each component of the strategy. 🔶 1. True Range Calculation with Enhanced Volatility Detection The True Range (TR) measures market volatility by considering the most significant price movements. The enhanced TR is calculated as: TR = Max Where: High and Low are the current bar's high and low prices. Previous Close is the closing price of the previous bar. Abs denotes the absolute value. Max selects the maximum value among the three calculations. 🔶 2. Momentum Factor Calculation To make the ATR adaptive, the strategy incorporates a Momentum Factor (MF), which adjusts the ATR based on recent price movements. Momentum = Close - Close Stdev_Close = Standard Deviation of Close over n periods Normalized_Momentum = Momentum / Stdev_Close (if Stdev_Close ≠ 0) Momentum_Factor = Abs(Normalized_Momentum) Where: Close is the current closing price. n is the momentum_period, a user-defined input (default is 7). Standard Deviation measures the dispersion of closing prices over n periods. Abs ensures the momentum factor is always positive. 🔶 3. Adaptive ATR Calculation The Adaptive ATR (AATR) adjusts the traditional ATR based on the Momentum Factor, making it more responsive during volatile periods and smoother during consolidation. Short_ATR = SMA(True Range, short_period) Long_ATR = SMA(True Range, long_period) Adaptive_ATR = / Where: SMA is the Simple Moving Average. short_period and long_period are user-defined inputs (defaults are 3 and 7, respectively). 🔶 4. Trend Strength Calculation The strategy quantifies the strength of the trend to filter out weak signals. Price_Change = Close - Close ATR_Multiple = Price_Change / Adaptive_ATR (if Adaptive_ATR ≠ 0) Trend_Strength = SMA(ATR_Multiple, n) 🔶 5. Trend Signal Determination If (Short_MA > Long_MA) AND (Trend_Strength > Trend_Strength_Threshold): Trend_Signal = 1 (Strong Uptrend) Elif (Short_MA < Long_MA) AND (Trend_Strength < -Trend_Strength_Threshold): Trend_Signal = -1 (Strong Downtrend) Else: Trend_Signal = 0 (No Clear Trend) 🔶 6. Trend Confirmation with Price Action Adaptive_ATR_SMA = SMA(Adaptive_ATR, atr_sma_period) If (Trend_Signal == 1) AND (Close > Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Elif (Trend_Signal == -1) AND (Close < Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA): Trend_Confirmed = True Else: Trend_Confirmed = False Local Performance 🔶 7. Multi-Step Take-Profit Mechanism The strategy employs a 7-step take-profit system █ Trade Direction The SuperATR 7-Step Profit Strategy is designed to work in both long and short market conditions. By identifying strong uptrends and downtrends, it allows traders to capitalize on price movements in either direction. Long Trades: Initiated when the market shows strong upward momentum and the trend is confirmed. Short Trades: Initiated when the market exhibits strong downward momentum and the trend is confirmed. █ Usage To implement the SuperATR 7-Step Profit Strategy: 1. Configure the Strategy Parameters: - Adjust the short_period, long_period, and momentum_period to match the desired sensitivity. - Set the trend_strength_threshold to control how strong a trend must be before acting. 2. Set Up the Multi-Step Take-Profit Levels: - Define ATR multipliers and fixed percentage levels according to risk tolerance and profit goals. - Specify the percentage of the position to close at each level. 3. Apply the Strategy to a Chart: - Use the strategy on instruments and timeframes where it has been tested and optimized. - Monitor the positions and adjust parameters as needed based on performance. 4. Backtest and Optimize: - Utilize TradingView's backtesting features to evaluate historical performance. - Adjust the default settings to optimize for different market conditions. █ Default Settings Understanding default settings is crucial for optimal performance. Short Period (3): Affects the responsiveness of the short-term MA. Effect: Lower values increase sensitivity but may produce more false signals. Long Period (7): Determines the trend baseline. Effect: Higher values reduce noise but may delay signals. Momentum Period (7): Influences adaptive ATR and trend strength. Effect: Shorter periods react quicker to price changes. Trend Strength Threshold (0.5): Filters out weaker trends. Effect: Higher thresholds yield fewer but stronger signals. ATR Multipliers: Set distances for ATR-based exits. Effect: Larger multipliers aim for bigger moves but may reduce hit rate. Fixed TP Levels (%): Control profit-taking on smaller moves. Effect: Adjusting these levels affects how quickly profits are realized. Exit Percentages: Determine how much of the position is closed at each TP level. Effect: Higher percentages reduce exposure faster, affecting risk and reward. Adjusting these variables allows you to tailor the strategy to different market conditions and personal risk preferences. By integrating adaptive indicators and a multi-tiered exit strategy, the SuperATR 7-Step Profit Strategy offers a versatile tool for traders seeking to navigate varying market conditions effectively. Understanding and adjusting the key parameters enables traders to harness the full potential of this strategy.
Стратегия Pine Script™
от PresentTrading
2
MACD Cloud with Moving Average and ATR BandsThe algorithm implements a technical analysis indicator that combines the MACD Cloud, Moving Averages (MA), and volatility bands (ATR) to provide signals on market trends and potential reversal points. It is divided into several sections: 🎨 Color Bars: Activated based on user input. Controls bar color display according to price relative to ATR levels and moving average (MA). Logic: ⚫ Black: Potential bearish reversal (price above the upper ATR band). 🔵 Blue: Potential bullish reversal (price below the lower ATR band). o 🟢 Green: Bullish trend (price between the MA and upper ATR band). o 🔴 Red: Bearish trend (price between the lower ATR band and MA). o 📊 MACD Bars: Description: The MACD Bars section is activated by default and can be modified based on user input. 🔴 Red: Indicates a bearish trend, shown when the MACD line is below the Signal line (Signal line is a moving average of MACD). 🔵 Blue: Indicates a bullish trend, shown when the MACD line is above the Signal line. Matching colors between MACD Bars and MACD Cloud visually confirms trend direction. MACD Cloud Logic: The MACD Cloud is based on Moving Average Convergence Divergence (MACD), a momentum indicator showing the relationship between two moving averages of price. MACD and Signal Lines: The cloud visualizes the MACD line relative to the Signal line. If the MACD line is above the Signal line, it indicates a potential bullish trend, while below it suggests a potential bearish trend. ☁️ MA Cloud: The MA Cloud uses three moving averages to analyze price direction: Moving Average Relationship: Three MAs of different periods are plotted. The cloud turns green when the shorter MA is above the longer MA, indicating an uptrend, and red when below, suggesting a downtrend. Trend Visualization: This graphical representation shows the trend direction. 📉 ATR Bands: The ATR bands calculate overbought and oversold limits using a weighted moving average (WMA) and ATR. Center (matr): Shows general trend; prices above suggest an uptrend, while below indicate a downtrend. Up ATR 1: Marks the first overbought level, suggesting a potential bearish reversal if the price moves above this band. Down ATR 1: Marks the first oversold level, suggesting a possible bullish reversal if the price moves below this band. Up ATR 2: Extends the overbought range to an extreme, reinforcing the possibility of a bearish reversal at this level. Down ATR 2: Extends the oversold range to an extreme, indicating a stronger bullish reversal possibility if price reaches here. Español: El algoritmo implementa un indicador de análisis técnico que combina la nube MACD, promedios móviles (MA) y bandas de volatilidad (ATR) para proporcionar señales sobre tendencias del mercado y posibles puntos de reversión. Se divide en varias secciones: 🎨 Barras de Color: - Activado según la entrada del usuario. - Controla la visualización del color de las barras según el precio en relación con los niveles de ATR y el promedio móvil (MA). - **Lógica:** - ⚫ **Negro**: Reversión bajista potencial (precio por encima de la banda superior ATR). - 🔵 **Azul**: Reversión alcista potencial (precio por debajo de la banda inferior ATR). - 🟢 **Verde**: Tendencia alcista (precio entre el MA y la banda superior ATR). - 🔴 **Rojo**: Tendencia bajista (precio entre la banda inferior ATR y el MA). ### 📊 Barras MACD: - **Descripción**: - La sección de barras MACD se activa por defecto y puede modificarse según la entrada del usuario. - 🔴 **Rojo**: Indica una tendencia bajista, cuando la línea MACD está por debajo de la línea de señal (la línea de señal es una media móvil de la MACD). - 🔵 **Azul**: Indica una tendencia alcista, cuando la línea MACD está por encima de la línea de señal. - La coincidencia de colores entre las barras MACD y la nube MACD confirma visualmente la dirección de la tendencia. ### 🌥️ Nube MACD: - **Lógica de la Nube MACD**: Basada en el indicador de convergencia-divergencia de medias móviles (MACD), que muestra la relación entre dos medias móviles del precio. - **Líneas MACD y de Señal**: La nube visualiza la relación entre la línea MACD y la línea de señal. Si la línea MACD está por encima de la de señal, indica una tendencia alcista potencial; si está por debajo, sugiere una tendencia bajista. ### ☁️ Nube MA: - **Relación entre Medias Móviles**: Se trazan tres medias móviles de diferentes períodos. La nube se vuelve verde cuando la media más corta está por encima de la más larga, indicando una tendencia alcista, y roja cuando está por debajo, sugiriendo una tendencia bajista. - **Visualización de Tendencias**: Proporciona una representación gráfica de la dirección de la tendencia. ### 📉 Bandas ATR: - Las bandas ATR calculan límites de sobrecompra y sobreventa usando una media ponderada y el ATR. - **Centro (matr)**: Muestra la tendencia general; precios por encima indican tendencia alcista y debajo, bajista. - **Up ATR 1**: Marca el primer nivel de sobrecompra, sugiriendo una reversión bajista potencial si el precio sube por encima de esta banda. - **Down ATR 1**: Marca el primer nivel de sobreventa, sugiriendo una reversión alcista potencial si el precio baja por debajo de esta banda. - **Up ATR 2**: Amplía el rango de sobrecompra a un nivel extremo, reforzando la posibilidad de reversión bajista. - **Down ATR 2**: Extiende el rango de sobreventa a un nivel extremo, sugiriendo una reversión alcista más fuerte si el precio alcanza esta banda.
Индикатор Pine Script™
от PINE_LABS
3
EMA Ribbon + ADX MomentumHere's a description for your TradingView indicator publication: The EMA Ribbon + ADX Momentum indicator combines exponential moving averages (EMA) with the Average Directional Index (ADX) to identify strong trends and potential trading opportunities. This powerful tool offers: 🎯 Key Features: EMA Ribbon (10, 21, 34, 55) for trend direction ADX integration for trend strength confirmation Clear visual signals with color-coded backgrounds Real-time trend status display Strength metrics with exact percentage values 📊 How It Works: EMA Ribbon: Four EMAs form a ribbon pattern that shows trend direction through their stacking order ADX Integration: Confirms trend strength when above the threshold (default 25) Visual Signals: Green background: Strong bullish trend Red background: Strong bearish trend Gray background: Neutral or weak trend 📈 Trading Signals: STRONG BULL: EMAs properly stacked bullish + high ADX + DI+ > DI- STRONG BEAR: EMAs properly stacked bearish + high ADX + DI- > DI+ BULL/BEAR TREND: Shows regular trend conditions without strength confirmation NEUTRAL: No clear trend structure 🔧 Customizable Parameters: ADX Length: Adjust trend calculation period ADX Threshold: Modify strength confirmation level ADX Panel Toggle: Show/hide the ADX indicator panel 💡 Best Uses: Trend following strategies Entry/exit timing Trade confirmation Market structure analysis Risk management tool This indicator helps traders identify not just trend direction, but also trend strength, making it particularly useful for both position entry timing and risk management. The clear visual signals and real-time metrics make it suitable for traders of all experience levels. Note: As with all technical indicators, best results are achieved when used in conjunction with other forms of analysis and proper risk management.
Индикатор Pine Script™
от me72847
EMD Oscillator (Zeiierman)█ Overview The Empirical Mode Decomposition (EMD) Oscillator is an advanced indicator designed to analyze market trends and cycles with high precision. It breaks down complex price data into simpler parts called Intrinsic Mode Functions (IMFs), allowing traders to see underlying patterns and trends that aren’t visible with traditional indicators. The result is a dynamic oscillator that provides insights into overbought and oversold conditions, as well as trend direction and strength. This indicator is suitable for all types of traders, from beginners to advanced, looking to gain deeper insights into market behavior. █ How It Works The core of this indicator is the Empirical Mode Decomposition (EMD) process, a method typically used in signal processing and advanced scientific fields. It works by breaking down price data into various “layers,” each representing different frequencies in the market’s movement. Imagine peeling layers off an onion: each layer (or IMF) reveals a different aspect of the price action. ⚪ Data Decomposition (Sifting): The indicator “sifts” through historical price data to detect natural oscillations within it. Each oscillation (or IMF) highlights a unique rhythm in price behavior, from rapid fluctuations to broader, slower trends. ⚪ Adaptive Signal Reconstruction: The EMD Oscillator allows traders to select specific IMFs for a custom signal reconstruction. This reconstructed signal provides a composite view of market behavior, showing both short-term cycles and long-term trends based on which IMFs are included. ⚪ Normalization: To make the oscillator easy to interpret, the reconstructed signal is scaled between -1 and 1. This normalization lets traders quickly spot overbought and oversold conditions, as well as trend direction, without worrying about the raw magnitude of price changes. The indicator adapts to changing market conditions, making it effective for identifying real-time market cycles and potential turning points. █ Key Calculations: The Math Behind the EMD Oscillator The EMD Oscillator’s advanced nature lies in its high-level mathematical operations: ⚪ Intrinsic Mode Functions (IMFs) IMFs are extracted from the data and act as the building blocks of this indicator. Each IMF is a unique oscillation within the price data, similar to how a band might be divided into treble, mid, and bass frequencies. In the EMD Oscillator: Higher-Frequency IMFs: Represent short-term market “noise” and quick fluctuations. Lower-Frequency IMFs: Capture broader market trends, showing more stable and long-term patterns. ⚪ Sifting Process: The Heart of EMD The sifting process isolates each IMF by repeatedly separating and refining the data. Think of this as filtering water through finer and finer mesh sieves until only the clearest parts remain. Mathematically, it involves: Extrema Detection: Finding all peaks and troughs (local maxima and minima) in the data. Envelope Calculation: Smoothing these peaks and troughs into upper and lower envelopes using cubic spline interpolation (a method for creating smooth curves between data points). Mean Removal: Calculating the average between these envelopes and subtracting it from the data to isolate one IMF. This process repeats until the IMF criteria are met, resulting in a clean oscillation without trend influences. ⚪ Spline Interpolation The cubic spline interpolation is an advanced mathematical technique that allows smooth curves between points, which is essential for creating the upper and lower envelopes around each IMF. This interpolation solves a tridiagonal matrix (a specialized mathematical problem) to ensure that the envelopes align smoothly with the data’s natural oscillations. To give a relatable example: imagine drawing a smooth line that passes through each peak and trough of a mountain range on a map. Spline interpolation ensures that line is as smooth and close to reality as possible. Achieving this in Pine Script is technically demanding and demonstrates a high level of mathematical coding. ⚪ Amplitude Normalization To make the oscillator more readable, the final signal is scaled by its maximum amplitude. This amplitude normalization brings the oscillator into a range of -1 to 1, creating consistent signals regardless of price level or volatility. █ Comparison with Other Signal Processing Methods Unlike standard technical indicators that often rely on fixed parameters or pre-defined mathematical functions, the EMD adapts to the data itself, capturing natural cycles and irregularities in real-time. For example, if the market becomes more volatile, EMD adjusts automatically to reflect this without requiring parameter changes from the trader. In this way, it behaves more like a “smart” indicator, intuitively adapting to the market, unlike most traditional methods. EMD’s adaptive approach is akin to AI’s ability to learn from data, making it both resilient and robust in non-linear markets. This makes it a great alternative to methods that struggle in volatile environments, such as fixed-parameter oscillators or moving averages. █ How to Use Identify Market Cycles and Trends: Use the EMD Oscillator to spot market cycles that represent phases of buying or selling pressure. The smoothed version of the oscillator can help highlight broader trends, while the main oscillator reveals immediate cycles. Spot Overbought and Oversold Levels: When the oscillator approaches +1 or -1, it may indicate that the market is overbought or oversold, signaling potential entry or exit points. Confirm Divergences: If the price movement diverges from the oscillator's direction, it may indicate a potential reversal. For example, if prices make higher highs while the oscillator makes lower highs, it could be a sign of weakening trend strength. █ Settings Window Length (N): Defines the number of historical bars used for EMD analysis. A larger window captures more data but may slow down performance. Number of IMFs (M): Sets how many IMFs to extract. Higher values allow for a more detailed decomposition, isolating smaller cycles within the data. Amplitude Window (L): Controls the length of the window used for amplitude calculation, affecting the smoothness of the normalized oscillator. Extraction Range (IMF Start and End): Allows you to select which IMFs to include in the reconstructed signal. Starting with lower IMFs captures faster cycles, while ending with higher IMFs includes slower, trend-based components. Sifting Stopping Criterion (S-number): Sets how precisely each IMF should be refined. Higher values yield more accurate IMFs but take longer to compute. Max Sifting Iterations (num_siftings): Limits the number of sifting iterations for each IMF extraction, balancing between performance and accuracy. Source: The price data used for the analysis, such as close or open prices. This determines which price movements are decomposed by the indicator. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Индикатор Pine Script™
от Zeiierman
6
Volume-Adjusted Schaff Trend Cycle (VASTC)Volume-Adjusted Schaff Trend Cycle (VASTC) The VASTC is a fairly fast-moving oscillator designed to identify trends early and signal when trends may be nearing their end. While it can be used for both trend-following and mean-reversion strategies , it shines in trend-following setups. It’s particularly useful for catching the start of a trend and giving early warnings that a trend might end soon, making it a valuable addition to a multi-indicator system. How It Works: The VASTC adapts the traditional Schaff Trend Cycle by adjusting the MACD component with volume data. This volume-adjusted MACD is run through two stochastic processes , applying exponential smoothing to enhance responsiveness. Volume sensitivity allows the VASTC to adapt dynamically to periods of high or low trading activity, providing more reliable trend signals. Recommended Use: Use VASTC in confluence with other indicators to confirm trend entries and exits. It’s best for identifying early trend setups rather than sustaining prolonged trend trades. When used alongside other indicators, especially those with a longer-term outlook or momentum based trend indicators, you’ll gain a clearer signal for potential exits or entries. Always backtest the VASTC on your chosen assets to determine the most effective input parameters, as the defaults may not suit all markets or assets. Different assets behave differently, and adjustments in parameters can improve its ability to analyze the assets you're looking at. Parameters: Length : Sets the primary smoothing length. Fast/Slow Length : Adjust the speed of the volume-adjusted MACD component. Factor : Controls the final smoothing applied to the STC. Overbought/Oversold Levels : Defines overbought/oversold levels. Experiment with these settings to customize the VASTC to your trading strategy and asset. Disclaimer : This indicator is a tool to complement your trading analysis and should not be used in isolation. Always backtest and use other confluence signals for best results. The assets I looked at when making this indicator are almost certainly different than what you're looking at.
Индикатор Pine Script™
от nathanfarmer
Divergence for Many Indicators v4 Screener▋ INTRODUCTION: The “Divergence for Many Indicators v4 Screener” is developed to provide an advanced monitoring solution for up to 24 symbols simultaneously. It efficiently collects signals from multiple symbols based on the “ Divergence for Many Indicators v4 ” and presents the output in an organized table. The table includes essential details starting with the symbol name, signal price, corresponding divergence indicator, and signal time. _______________________ ▋ CREDIT: The divergence formula adapted from the “ Divergence for Many Indicators v4 ” script, originally created by @LonesomeTheBlue . Full credit to his work. _______________________ ▋ OVERVIEW: The chart image can be considered an example of a recorded divergence signal that occurred in $BTCUSDT. _______________________ ▋ APPEARANCE: The table can be displayed in three formats: 1. Full indicator name. 2. First letter of the indicator name. 3. Total number of divergences. _______________________ ▋ SIGNAL CONFIRMATION: The table distinguishes signal confirmation by using three different colors: 1. Not-Confirmed (Orange): The signal is not confirmed yet, as the bar is still open. 2. Freshly Confirmed (Green): The signal was confirmed 1 or 2 bars ago. 3. Confirmed (Gray): The signal was confirmed 3 or more bars ago. _______________________ ▋ INDICATOR SETTINGS: Section(1): Table Settings (1) Table location on the chart. (2) Table’s cells size. (3) Chart’s timezone. (4) Sorting table.            - Signal: Sorts the table by the latest signals.            - None: Sorts the table based on the input order. (5) Table’s colors. (6) Signal Confirmation type color. Explained above in the SIGNAL CONFIRMATION section Section(2): Divergence for Many Indicators v4 Settings As seen on the Divergence for Many Indicators v4 * Explained above in the APPEARANCE section Section(3): Symbols (1) Enable/disable symbol in the screener. (2) Entering a symbol. _______________________ ▋ FINAL COMMENTS: For best performance, add the Screener indicator to an active symbol chart, such as QQQ, SPY, AAPL, BTCUSDT, ES, EURUSD, etc., and avoid mixing symbols from different market allocations. The Divergence for Many Indicators v4 Screener indicator is not a primary tool for making trading decisions.
Индикатор Pine Script™
от MUQWISHI
6
Momentum Nexus Oscillator [UAlgo]The "Momentum Nexus Oscillator " indicator is a comprehensive momentum-based tool designed to provide traders with visual cues on market conditions using multiple oscillators. By combining four popular technical indicators—RSI (Relative Strength Index), VZO (Volume Zone Oscillator), MFI (Money Flow Index), and CCI (Commodity Channel Index)—this heatmap offers a holistic view of the market's momentum. The indicator plots two lines: one representing the current chart’s combined momentum score and the other representing a higher timeframe’s (HTF) score, if enabled. Through smooth gradient color transitions and easy-to-read signals, the Momentum Nexus Heatmap allows traders to easily identify potential trend reversals or continuation patterns. Traders can use this tool to detect overbought or oversold conditions, helping them anticipate possible long or short trade opportunities. The option to use a higher timeframe enhances the flexibility of the indicator for longer-term trend analysis. 🔶 Key Features Multi-Oscillator Approach: Combines four popular momentum oscillators (RSI, VZO, MFI, and CCI) to generate a weighted score, providing a comprehensive picture of market momentum. Dynamic Color Heatmap: Utilizes a smooth gradient transition between bullish and bearish colors, reflecting market momentum across different thresholds. Higher Timeframe (HTF) Compatibility: Includes an optional higher timeframe input that displays a separate score line based on the same momentum metrics, allowing for multi-timeframe analysis. Customizable Parameters: Adjustable RSI, VZO, MFI, and CCI lengths, as well as overbought and oversold levels, to match the trader’s strategy or preference. Signal Alerts: Built-in alert conditions for both the current chart and higher timeframe scores, notifying traders when long or short entry signals are triggered. Buy/Sell Signals: Displays visual signals (▲ and ▼) on the chart when combined scores reach overbought or oversold levels, providing clear entry cues. User-Friendly Visualization: The heatmap is separated into four sections representing each indicator, providing a transparent view of how each contributes to the overall momentum score. 🔶 Interpreting Indicator: Combined Score The indicator generates a combined score by weighing the individual contributions of RSI, VZO, MFI, and CCI. This score ranges from 0 to 100 and is plotted as a line on the chart. Lower values suggest potential oversold conditions, while higher values indicate overbought conditions. Color Heatmap The indicator divides the combined score into four distinct sections, each representing one of the underlying momentum oscillators (RSI, VZO, MFI, and CCI). Bullish (greenish) colors indicate upward momentum, while bearish (grayish) colors suggest downward momentum. Long/Short Signals When the combined score drops below the oversold threshold (default is 26), a long signal (▲) is displayed on the chart, indicating a potential buying opportunity. When the combined score exceeds the overbought threshold (default is 74), a short signal (▼) is shown, signaling a potential sell or short opportunity. Higher Timeframe Analysis If enabled, the indicator also plots a line representing the combined score for a higher timeframe. This can be used to align lower timeframe trades with the broader trend of a higher timeframe, providing added confirmation. Signals for long and short entries are also plotted for the higher timeframe when its combined score reaches overbought or oversold levels. 🔶Purpose of Using Multiple Technical Indicators The combination of RSI, VZO, MFI, and CCI in the Momentum Nexus Heatmap provides a comprehensive approach to analyzing market momentum by leveraging the unique strengths of each indicator. This multi-indicator method minimizes the limitations of using just one tool, resulting in more reliable signals and a clearer understanding of market conditions. RSI (Relative Strength Index) RSI contributes by measuring the strength and speed of recent price movements. It helps identify overbought or oversold levels, signaling potential trend reversals or corrections. Its simplicity and effectiveness make it one of the most widely used indicators in technical analysis, contributing to momentum assessment in a straightforward manner. VZO (Volume Zone Oscillator) VZO adds the critical element of volume to the analysis. By assessing whether price movements are supported by significant volume, VZO distinguishes between price changes that are driven by real market conviction and those that might be short-lived. It helps validate the strength of a trend or alert the trader to potential weakness when price moves are unsupported by volume. MFI (Money Flow Index) MFI enhances the analysis by combining price and volume to gauge money flow into and out of an asset. This indicator provides insight into the participation of large players in the market, showing if money is pouring into or exiting the asset. MFI acts as a volume-weighted version of RSI, giving more weight to volume shifts and helping traders understand the sustainability of price trends. CCI (Commodity Channel Index) CCI contributes by measuring how far the price deviates from its statistical average. This helps in identifying extreme conditions where the market might be overextended in either direction. CCI is especially useful for spotting trend reversals or continuations, particularly during market extremes, and for identifying divergence signals. 🔶 Disclaimer Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals. Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator. Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies. Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses. No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Индикатор Pine Script™
от UAlgo
7
Divergence Indicator Multi [TradingFinder] MACD AO RSI DIV Chart🔵 Introduction 🟣 What is Divergence in Financial Markets? Divergence in technical analysis happens when the price of a stock moves in a direction opposite to certain indicators. This is a crucial concept in financial markets as it can signal either a trend reversal or a continuation of the current correction in the trend. Understanding divergence helps traders and analysts make more informed decisions. 🟣 Positive Regular Divergence (RD+) A positive regular divergence occurs at the end of a downtrend, where two price lows form. This divergence appears when the price chart shows a new low, but the indicator does not follow, signaling potential buying opportunities. Positive divergence indicates increased buying pressure and reduced selling pressure, making it a useful signal for forecasting price increases. 🟣 Negative Regular Divergence (RD-) A negative regular divergence is seen during an uptrend when two price highs form. The price chart records a new high, but the indicator does not reflect this change, suggesting that a market downturn is likely. This type of divergence shows strong selling pressure and weaker buying activity, which can help identify selling opportunities. Both positive and negative divergences are powerful tools for identifying potential trend reversals and key support and resistance levels. For example, when an indicator trends upward while the price moves downward, this creates divergence, warning traders to reconsider their investment strategy. 🟣 Different Types of Divergence in Trading 1. Regular Divergence : o Positive Regular Divergence (RD+) o Negative Regular Divergence (RD-) 2. Hidden Divergence : o Positive Hidden Divergence (HD+) o Negative Hidden Divergence (HD-) 3.Time Divergence. Note : This guide focuses specifically on Regular Divergence. 🟣 What is Regular Divergence? Regular Divergence, often referred to as convergence, occurs when price action and indicators show conflicting patterns, usually signaling the end of a trend. Detecting regular divergence helps traders anticipate potential trend reversals or the formation of reversal patterns. 🔵 How to Use To optimize the detection of divergence, you can adjust the Fractal Period to specify the length of time for identifying divergence patterns. Additionally, with the Divergence Detection Method, you can select oscillators like the MACD, RSI, or AO to base divergence detection on. Divergence in MACD : MACD divergence occurs when the price chart forms an opposite pattern compared to the MACD line, indicating a potential price reversal. Divergence in RSI : In a downtrend, if the price chart forms two consecutive lows with the second lower than the first, but the RSI shows two lows with the second higher, this indicates positive regular divergence, which is a buy signal. On the other hand, during an uptrend, if the price forms two highs with the second higher than the first, but the RSI shows the second high lower, this points to negative regular divergence, indicating a sell signal. Divergence in AO (Awesome Oscillator) : The AO indicator calculates histograms using the difference between 5-period and 34-period simple moving averages. It compares peaks and troughs of these histograms with price movements, detecting divergence and plotting lines and arrows to signal divergence. 🔵 Table The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator. Exist : If divergence is detected, a "+" will appear in this row. Consecutive: Shows the number of consecutive divergences that have formed in a short period. Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong." Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
Индикатор Pine Script™
от TFlab