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MACD histogram divergence by Rexio v1Hi everyone! I wrote this indicator for intraday trading and it cannot be use only by itself you need to at least draw some S/R lines to make it useful. It is based at MACD histogram and gives signal when it sees divergence on MACD's Histogram when macd's histogram switchs trend. Im using it to playing with a trend most of the time looking. It highlights candles which can give good singnals to play with a trend (its based on ema200 and RSI overbought and oversold zones). Im not a computer programist nor professional trader so it is only for educational purposes only.
Wskaźnik Pine Script®
od Rexio
3
DivergenceUnderstanding the Divergence Indicator This indicator is designed to identify and analyze divergences between price action and multiple technical indicators across different timeframes. Divergence occurs when the price of an asset moves in one direction while a technical indicator moves in the opposite direction, potentially signaling a trend reversal or continuation. Key Features 1. Customizable Parameters: Users can adjust settings for divergence detection, including: - Bullish/Bearish divergence detection - Regular/Hidden divergence identification - Pivot lookback periods - Weighting for different divergence types 2. Strength Calculation: The indicator calculates divergence strength based on the magnitude of divergence and user-defined weightings. 3. Visual Representation: Divergences are displayed on the chart with lines connecting price and indicator pivots, along with labels showing divergence strength. Utility in Trading 1. Early Trend Reversal Signals: By identifying divergences, traders can anticipate potential trend reversals before they occur in price action. 2. Trend Continuation Confirmation: Hidden divergences can help confirm the continuation of an existing trend. 3. Multi-Timeframe Analysis: The indicator allows for divergence detection across various timeframes, enhancing the reliability of signals. 4. Risk Management: Traders can use divergence signals to adjust their stop-loss levels or take profits on existing positions. 5. Comprehensive Market View: By analyzing multiple indicators simultaneously, traders gain a more robust assessment of market conditions. 6. Objective Strength Evaluation: The divergence strength calculation provides an objective measure of signal significance. By incorporating this divergence indicator into their trading strategy, traders can potentially improve their market timing, risk management, and overall trading performance.
Wskaźnik Pine Script®
od s47marsac
divergenceLibrary "divergence" divergence: divergence algorithm with top and bottom kline tolerance regular_bull(series, series, simple, simple, simple, simple, simple) regular_bull: regular bull divergence, lower low src but higher low osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array: hidden_bull(series, series, simple, simple, simple, simple, simple) hidden_bull: hidden bull divergence, higher low src but lower low osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array: regular_bear(series, series, simple, simple, simple, simple, simple) regular_bear: regular bear divergence, higher high src but lower high osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array: hidden_bear(series, series, simple, simple, simple, simple, simple) hidden_bear: hidden bear divergence, lower high src but higher high osc   Parameters:      series : float src: the source series      series : float osc: the oscillator index      simple : int lbL: look back left      simple : int lbR: look back right      simple : int rangeL: min look back range      simple : int rangeU: max look back range      simple : int tolerance: the number of tolerant klines   Returns: array:
Biblioteka Pine Script®
od dandrideng
Divergence Indicator with Multi-Length Pivot DetectionThis Pine Script, titled “Divergence Indicator with Multi-Length Pivot Detection”, tool that detects both regular and hidden divergences between price action and an oscillator (defaulting to close, but configurable). It features multi-length pivot logic, angle-based validation, no-cross filtering, and OB/OS region filtering, making it a robust and precise divergence engine. Below is a detailed breakdown: ⸻ 🔧 Inputs and Configuration     •    osc_src: Oscillator source (e.g. close, RSI, MACD).     •    show_hidden: Toggles detection of hidden divergences.     •    min_*_angle settings: Control the minimum angle thresholds (in degrees) for confirming valid divergences (ensures momentum is strong enough).     •    validate_no_cross: Ensures oscillator and price slopes don’t “cross” the actual values (i.e. filters out invalid or messy trends).     •    oversold_level, overbought_level: Used when use_ob_os_filter is enabled to require oscillator to be in OS/OB zones for regular divergence.     •    min_div_length: Minimum distance in bars between previous and current pivot points. ⸻ 🔁 Internal Engine Mechanics 1. Pivot Detection Engine (Phase 1: Historical Memory)     •    For all combinations of left1 and right1 in the range :     •    Records all valid pivot lows and pivot highs.     •    Stores their:     •    bar index     •    price value     •    oscillator value This forms a “memory buffer” of past pivots that future price pivots are compared against. 2. Current Pivot Detection (Phase 2: Scanning)     •    Loops through larger pivot configurations (left2 ∈ , right2 = 1) to detect new current pivots.     •    For each new pivot, it compares against the historical pivots from phase 1. ⸻ 📐 Slope and Angle Calculation For each matching pivot pair (historical vs current):     •    Price and Oscillator Slopes are calculated via linear regression, producing:     •    price_angle     •    osc_angle     •    These are converted using math.atan() and math.todegrees() to get proper angular direction and intensity of trend. ⸻ 🧠 Divergence Logic ✅ Bullish Divergence     •    Regular Bullish: Price makes a lower low, oscillator makes a higher low.     •    Hidden Bullish: Price makes a higher low, oscillator makes a lower low.     •    Conditions:     •    Must meet minimum angle thresholds.     •    Optional: Must be in oversold region (osc_src < oversold_level).     •    If validate_no_cross is enabled, linearly interpolated slope must not be violated. ✅ Bearish Divergence     •    Regular Bearish: Price makes a higher high, oscillator makes a lower high.     •    Hidden Bearish: Price makes a lower high, oscillator makes a higher high.     •    Conditions mirror the bullish case (with polarity reversed). ⸻ 🖍️ Visualization     •    Draws colored lines between pivots for visual clarity:     •    Green: Regular Bullish     •    Lime: Hidden Bullish     •    Red: Regular Bearish     •    Maroon: Hidden Bearish     •    Uses plotshape() to mark divergence bars:     •    Triangle-up for bullish     •    Triangle-down for bearish The lines and shapes help quickly identify divergence zones with strong momentum structure. ⸻ 🧪 Filtering Enhancements     •    No Cross Slope Filter: Checks that oscillator and price values stay above/below their respective slope lines throughout the interval.     •    OB/OS Filter: Restricts divergence signals to occur only in oversold/overbought conditions for regular divergences.     •    Signal Thinning: Keeps line count to 100 using array.shift() and line.delete(). ⸻ 🧬 Design Philosophy     •    Built to mimic institutional-grade divergence detection, avoiding common false positives.     •    Uses adaptive pivots, rigorous angle validation, and noise filtering.
Wskaźnik Pine Script®
od Cmo22
3
Divergences RefurbishedJust as "a butterfly can flap its wings over a flower in China and cause a hurricane in the Caribbean" (Edward Lorenz), small divergences in markets can signal big trading opportunities. █Introduction This is a script forked from LonesomeTheBlue's Divergence for Many Indicators v4. It is a script that checks for divergence between price and many indicators. In this version, I added more indicators and also added 40 symbols to check for divergences. More info on the original script can be found here: █ Improvements The following improvements have been implemented over v4: 1. Added parameters to customize indicators. 2. Added new indicators: - Stoch RSI - Volume Oscillator - PVT (Price Volume Trend) - Ultimate Oscillator - Fisher Transform - Z-Score/T-Score 3. Now there is the possibility of using 2 external indicators. 4. New option to show tooltips inside labels. This allows you to save space on the screen if you choose the option to only show the number of divergences or just the abbreviations. 5. New option to show additional text next to the indicator name. This allows for grouping of indicators and symbols and better visualization, whether through emojis, for example. 6. Added 40 customizable symbols to check for divergences. 7. Option "show only the first letter" of the indicator replaced by: "show the abbreviation of the indicator". Reason: the indicator abbreviation is more informative and easier to read. 8. Script converted to PineScript version 5. █ CONCEPTS Below I present a brief description of the available indicators. 1. Moving Average Convergence/Divergence (MACD): Shows the difference between short-term and long-term exponential moving averages. 2. MACD Histogram: Shows the difference between MACD and its signal line. 3. Relative Strength Index (RSI): Measures the relative strength of recent price gains to recent price losses of an asset. 4. Stochastic Oscillator (Stoch): Compares the current price of an asset to its price range over a specified time period. 5. Stoch RSI: Stochastic of RSI. 6. Commodity Channel Index (CCI): Measures the relationship between an asset's current price and its moving average. 7. Momentum: Shows the difference between the current price and the price a few periods ago. Shows the difference between the current price and the price of a certain period in the past. 8. Chaikin Money Flow (CMF): A variation of A/D that takes into account the daily price variation and weighs trading volume accordingly. Accumulation/Distribution (A/D) identifies buying and selling pressure by tracking the flow of money into and out of an asset based on volume patterns. 9. On-Balance Volume (OBV): Identify divergences between trading volume and an asset's price. Sum of trading volume when the price rises and subtracts volume when the price falls. 10. Money Flow Index (MFI): Measures volume pressure in a range of 0 to 100. Calculates the ratio of volume when the price goes up and when the price goes down. 11. Volume Oscillator (VO): Identify divergences between trading volume and an asset's price. Ratio of change of volume, from a fast period in relation to a long period. 12. Price-Volume Trend (PVT): Identify the strength of an asset's price trend based on its trading volume. Cumulative change in price with volume factor. The PVT calculation is similar to the OBV calculation, but it takes into account the percentage price change multiplied by the current volume, plus the previous PVT value. 13. Ultimate Oscillator (UO): Combines three different time periods to help identify possible reversal points. 14. Fisher Transform (FT): Normalize prices into a Gaussian normal distribution. 15. Z-Score/T-Score: Shows the difference between the current price and the price a few periods ago. I is a statistical measurement that indicates how many standard deviations a data point is from the mean of a data set. When to use t-score instead of z-score? When the sample size is small (length < 30). Here, the use of z-score or t-score is chosen automatically based on the length parameter. █ What to look for The operation is simple. The script checks for divergences between the price and the selected indicators. Now with the possibility of using multiple symbols, it is possible to check divergences between different assets. A well-described view on divergences can be found in this cheat sheet: ◈ Examples with SPY ETF versus indicators: 1. Regular bullish divergence with external indicator: 1. Regular bearish divergence with Fisher Transform: 1. Positive hidden divergence with Momentum indicator: 1. Negative hidden divergence with RSI: ◈ Examples with SPY ETF versus other symbols: 1. Regular bearish divergence with European Stoch Market: 2. Regular bearish divergence with DXY inverted: 3. Regular bullish divergence with Taiwan Dollar: 4. Regular bearish divergence with US10Y (10-Year US Treasury Note): 5. Regular bullish divergence with QQQ ETF (Nasdaq 100): 6. Regular bullish divergence with ARKK ETF (ARK Innovation): 7.Positive hidden divergence with RSP ETF (S&P 500 Equal Weight): 8. Negative hidden divergence with EWZ ETF (Brazil): ◈ Examples with BTCUSD versus other symbols: 1. Regular bearish divergence with BTCUSDLONGS from Bitfinex: 2. Regular bearish divergence with BLOK ETF (Amplify Transformational Data Sharing): 3. Negative hidden divergence with NATGAS (Natural Gas): 4. Positive hidden divergence with TOTALDEFI (Total DeFi Market Cap): █ Conclusion The symbols available to check divergences were chosen in such a way as to cover the main markets, in the most generic way possible. You can adjust them according to your needs. A trader in the American market, for example, could add more ETFs, American stocks, and sectoral indices, such as the XLF (Financial Select Sector SPDR Fund), the XLK (Technology Select Sector SPDR), etc. On the other hand, a cryptocurrency trader could add more currency pairs and sector indicators, such as BTCUSDSHORTS (Bitfinex), USDT.D (Tether Dominance), etc. If the chart becomes too cluttered, you can use the option to show only the number of divergences or only the indicator abbreviations. Or even disable certain indicators and symbols, if they are not of interest to you. I hope this script is useful. Don't forget to support LonesomeTheBlue's work too.
Wskaźnik Pine Script®
od andre_007
54
Divergence RSI V2This indicator is based on the concept of divergence. I recommend that you find out and study about this yourself as the concept of divergence will not be explained in depth in this description. This indicator will show divergences between the asset price and the RSI oscillator. The indicator will look for divergent points between the rising highs and falling lows of the asset; and the rising lows and falling highs of the RSI. The trend of the asset tends to follow the behavior of the oscillator when a divergence occurs. So if we find a divergence between the two, the price of the asset is likely to follow the trend of the oscillator. This indicator looks for these types of divergences and will show (based on the RSI) if there is a bullish or bearish divergence. If it is bullish, it will show a line joining those points in green and if it is bearish in red. In addition, it will show a label where you can see the number of occurrences that have been found from a certain point to another. Note: this indicator can be complemented with the “Divergence V2” indicator which is also found in my library. Settings Backtesting Bars : is the number of bars back that the indicator will check. No more than 1000 is recommended as this will slow down the search. Tolerance: number of times a divergent line can cross a bar. If you place 0, no bar can be crossed by a diverging line. Min Bars To detect: will only search for divergences (or lines) that have the minimum number of bars selected in this option. Default option is 30. Min Bars To detect: it will only search for divergences (or lines) that have the maximum number of bars selected in this option. Default option is 100. Source Highs: The high points will be based on the close of each bar. You can use as another alternative. Source Lows: The low points will be based on the close of each bar. You can use as another alternative. Use squeeze parameter: only look for divergences (bullish or bearish) at times when such an indicator is in favor of the trend or coincides with the corresponding RSI divergence.
Wskaźnik Pine Script®
od seba34e