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Convergence

EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence. The EMAs used are EMA 9, EMA 12 and EMA 20. When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal. The way to use it is to apply it onto the Pine Screener. You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan. If Condition is True, the candlesticks would have a green arrow below and the background is highlighted. The script is published, feel free to amend it as you like Have a Nice Day, and Trade Safe !
Индикатор Pine Script®
от IM_KTD_
REMS - Deep SynergyThis is a more flexible version of the REMS Synergy indicator. Like other indicators in the REMS family, it builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves. Features 3 levels of confluence across 2 timeframes. All 3 levels allow filtering of any combination of REMS filters. Features more options and customization than previous REMS Synergy. Includes VWAP and 4 EMAs as optional visual representations. Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default) Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators. This version features no hard-coded inputs and allows for more freedom than previous version. With the added flexibility comes the ability for the indicator to be more easily stacked.
Индикатор Pine Script®
от KodiakMarket
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
Индикатор Pine Script®
от indexrate
THAIT Moving Averages Tight within # ATR EMA SMA convergence THAIT(tight) indicator is a powerful tool for identifying moving average convergence in price action. This indicator plots four user-defined moving averages (EMA or SMA). It highlights moments when the MAs converge within a user specified number of ATRs, adjusted by the 14-period ATR, signaling potential trend shifts or consolidation. A convergence is flagged when MA1 is the maximum, the spread between MAs is tight, and the price is above MA1, excluding cases where the longest MA (MA4) is the highest. The indicator alerts and visually marks convergence zones with a shaded green background, making it ideal for traders seeking precise entry or exit points.
Индикатор Pine Script®
от Imready4
FluidFlow OscillatorFluidFlow Oscillator: Study Material for Traders Overview The FluidFlow Oscillator is a custom technical indicator designed to measure price momentum and market flow dynamics by simulating fluid motion concepts such as velocity, viscosity, and turbulence. It helps traders identify potential buy and sell signals along with trend strength, momentum direction, and volatility conditions. This study explains the underlying calculation concepts, signal logic, visual cues, and how to interpret the professional dashboard table that summarizes key indicator readings. ________________________________________ How the FluidFlow Oscillator Works Core Mechanisms 1. Price Flow Velocity o Measures the rate of change of price over a specified flow length (default 40 bars). o Calculated as a percentage change of closing price: roc=close−closelen_flowcloselen_flow×100\text{roc} = \frac{\text{close} - \text{close}_{len\_flow}}{\text{close}_{len\_flow}} \times 100roc=closelen_flowclose−closelen_flow×100 o Smoothed by an EMA (Exponential Moving Average) to reduce noise, generating a "flow velocity" value. 2. Viscosity Factor o Analogous to fluid viscosity, it adjusts the flow velocity based on recent price volatility. o Volatility is computed as the standard deviation of close prices over the flow length. o The viscosity acts as a damping factor to slow down the flow velocity in highly volatile conditions. o This results in a "flow with viscosity" value, that smooths out the velocity considering market turbulence. 3. Turbulence Burst o Captures sudden changes or bursts in the flow by measuring changes between successive viscosity-adjusted flows. o The turbulence value is a smoothed absolute change in flow. o A burst boost factor is added to the oscillator to incorporate this rapid change component, amplifying signals during sudden shifts. 4. Oscillator Calculation o The raw oscillator value is the sum of flow with viscosity plus burst boost, scaled by 10. o Clamped between -100 and +100 to limit extremes. o Finally, smoothed again by EMA for cleaner visualization. ________________________________________ Signal Logic The oscillator works with complementary components to produce actionable signals: • Signal Line: An EMA-smoothed version of the oscillator for generating crossover-based signals. • Momentum: The rate of change of the oscillator itself, smoothed by EMA. • Trend: Uses fast (21-period EMA) and slow (50-period EMA) moving averages of price to identify market trend direction (uptrend, downtrend, or sideways). Signal Conditions • Bullish Signal (Buy): Oscillator crosses above the oversold threshold with positive momentum. • Bearish Signal (Sell): Oscillator crosses below the overbought threshold with negative momentum. Statuses The oscillator provides descriptive market states based on level and momentum: • Overbought • Oversold • Buy Signal • Sell Signal • Bullish / Bearish (momentum-driven) • Neutral (no clear trend) ________________________________________ Color System and Visualization The oscillator uses a sophisticated HSV color model adapting hues according to: • Oscillator value magnitude and sign (positive or negative) • Acceleration of oscillator changes • Smooth color gradients to facilitate intuitive understanding of trend strength and momentum shifts Background colors highlight overbought (red tint) and oversold (green tint) zones with transparency. ________________________________________ How to Understand the Professional Dashboard Table The FluidFlow Oscillator offers an integrated table at the bottom center of the chart. This dashboard summarizes critical indicator readings in 8 columns across 3 rows: Column Description SIGNAL Current signal status (e.g., Buy, Sell, Overbought) with color coding OSCILLATOR Current oscillator value (-100 to +100) with color reflecting intensity and direction MOMENTUM Momentum bias indicating strength/direction of oscillator changes (Strong Up, Up, Sideways, Down, Strong Down) TREND Current trend status based on EMAs (Strong Uptrend, Uptrend, Sideways, Downtrend, Strong Downtrend) VOLATILITY Volatility percentage relative to average, indicating market activity level FLOW Flow velocity value describing price momentum magnitude and direction TURBULENCE Turbulence level indicating sudden bursts or spikes in price movement PROGRESS Oscillator's position mapped as a percentage (0% to 100%) showing proximity to extreme levels Rows Explained • Row 1 (Header): Labels for each metric. • Row 2 (Values): Current numerical or descriptive values color-coded along a professional scheme: o Green or lime tones indicate positive or bullish conditions. o Red or orange tones indicate caution, sell signals, or bearish conditions. o Blue tones indicate neutral or stable conditions. • Row 3 (Status Indicators): Emoji-like icons and bars provide a quick visual gauge of each metric's intensity or signal strength: o For example, "🟢🟢🟢" suggests very strong bullish momentum, while "🔴🔴🔴" suggests strong bearish momentum. o Progress bar visually demonstrates oscillator movement toward oversold or overbought extremes. ________________________________________ Practical Interpretation Tips • A Buy signal with green colors and strong momentum usually precedes upward price moves. • An Overbought status with red background and red table colors warns of potential price corrections or reversals. • Watch the Turbulence to gauge market instability; spikes may precede price shocks or volatility bursts. • Confirm signals with the Trend and Momentum columns to avoid false entries. • Use the Progress bar to anticipate oscillations approaching key threshold levels for timing trades. ________________________________________ Alerts The oscillator supports alerts for: • Buy and sell signals based on oscillator crossovers. • Overbought and oversold levels reached. These help traders automate awareness of important market conditions. ________________________________________ Disclaimer The FluidFlow Oscillator and its signals are for educational and informational purposes only. They do not guarantee profits and should not be considered as financial advice. Always conduct your own research and use proper risk management when trading. Past performance is not indicative of future results. ________________________________________ This detailed explanation should help you understand the workings of the FluidFlow Oscillator, its components, signal logic, and how to analyze its professional dashboard for informed trading decisions.
Индикатор Pine Script®
от aiTrendview-Charting-System
3
Kase Convergence Divergence [BackQuant]Kase Convergence Divergence The Kase Convergence Divergence is a sophisticated oscillator designed to measure directional market strength through the lens of volatility-adjusted log return structures. Inspired by Cynthia Kase’s work on statistical momentum and price projection ranges, this unique indicator offers a hybrid framework that merges signal processing, multi-length sweep logic, and adaptive smoothing techniques. Unlike traditional momentum oscillators like MACD or RSI, which rely on static moving average differences, KCD introduces a dual-process system combining: Kase-style statistical range projection (via log returns and volatility), A sweeping loop of lookback lengths for robustness, First and second derivative modes to capture both velocity and acceleration of price movement. Core Logic & Computation The KCD calculation is centered on two volatility-normalized transforms: KSDI Up: Measures how far the current high has moved relative to a past low, normalized by return volatility. KSDI Down: Measures how far the current low has moved relative to a past high, also normalized. For every length in a user-defined sweep range (e.g., 25–35), both KSDI_up and KSDI_dn are computed, and their maximum values across the loop are retained. The difference between these two max values produces the raw signal: KPO (Kase Projection Oscillator): Measures directional skew. KCD (Kase Convergence Divergence): Defined as KPO – MA(KPO) — similar in spirit to MACD but structurally different. Users can choose to visualize either the first derivative (KPO) , or the second derivative (KCD) , depending on market conditions or strategy style. Key Features ✅ Multi-Length Sweep Logic: Improves signal reliability by aggregating statistical range projections across a set of lookbacks. ✅ Advanced Smoothing Modes: Supports DEMA, HMA, TEMA, LINREG, WMA and more for dynamic adaptation. ✅ Dual Derivative Modes: Choose between speed (first derivative) or smoothness (second derivative) to fit your trading regime. ✅ Color-Encoded Signal Bands: Heatmap-style oscillator coloring enhances visual feedback on trend strength. ✅ Candlestick Painting: Optional bar coloring makes it easy to spot trend shifts on the main chart. ✅ Adaptive Fill Zones: Green and red fills between the oscillator and zero line help distinguish bullish and bearish regimes at a glance. Practical Applications 📈 Trend Confirmation: Use KCD as a secondary confirmation layer after breakout or pullback entries. 📉 Momentum Shifts: Crossover and crossunder of the zero line highlight potential regime changes. 📊 Strategy Filters: Incorporate into algos to avoid trendless or mean-reverting environments. 🧪 Derivative Switching: Flip between KPO and KCD modes depending on whether you want to measure acceleration or deceleration of price flow. Alerts & Signals Two built-in alerts help you catch regime shifts in real time: Long Signal: Triggered when the selected oscillator crosses above zero. Short Signal: Triggered when it crosses below zero. These events can be used to generate entries, exits, or trend validation cues in multi-layer systems. Conclusion The Kase Convergence Divergence goes beyond traditional oscillators by offering a volatility-normalized, derivative-aware signal engine with enhanced visual dynamics. Its sweeping architecture and dynamic fill logic make it especially powerful for identifying trending environments, filtering chop, and adding statistical rigor to your trading toolkit. Whether you’re a discretionary trader seeking precision, or a quant looking to model more robust return structures, KCD offers a creative yet analytically grounded solution.
Индикатор Pine Script®
от BackQuant
1
Quad Rotation StochasticQuad Rotation Stochastic The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators. Why this indicator is useful: Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals. Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early. Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues. ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups. Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities. Why this indicator is unique: Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic. Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association. Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs. Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset. Example Usage: Trading Bitcoin with Quad Rotation Stochastic When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color. If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade. Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs. By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
Индикатор Pine Script®
от SaveWithCrypto
24
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does: Core Functionality of the Script: Calculates Key Price Levels: HOD (High of Day): The highest price of the current day. LOD (Low of Day): The lowest price of the current day. PMH (Premarket High): The highest price during the premarket session (before the market opens). PML (Premarket Low): The lowest price during the premarket session. PDH (Previous Day High): The highest price of the previous day. PDL (Previous Day Low): The lowest price of the previous day. Draws Horizontal Lines on the Chart: Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification. Defines Entry and Exit Rules: Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High). Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low). Long Exit: If the price reaches the HOD (High of Day) during a long position. Short Exit: If the price reaches the LOD (Low of Day) during a short position. How the Script Works Step by Step: Calculates Key Levels: Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL). Calculates the PMH and PML during the premarket session (before 9:30 AM). Plots Levels on the Chart: Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL). Each level has a specific color for easy identification: HOD: White. LOD: Purple. PDH: Orange. PDL: Blue. PMH: Green. PML: Red. Defines Trading Rules: Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels. Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened. Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened. Long Exit: If the price reaches the HOD during a long position, the position is closed. Short Exit: If the price reaches the LOD during a short position, the position is closed. Executes Orders Automatically: Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules. Advantages of This Strategy: Based on Key Levels: Uses important price levels that often act as support and resistance. Easy to Visualize: Horizontal lines on the chart make it easy to identify levels. Automated: Entries and exits are executed automatically based on the defined rules. Limitations of This Strategy: Dependent on Volatility: Works best in markets with significant price movements. False Crosses: There may be false crosses that generate incorrect signals. No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms. How to Improve the Strategy: Add Stop-Loss and Take-Profit: To limit losses and lock in profits. Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals. Optimize Levels: Adjust key levels based on the asset’s behavior. In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
Стратегия Pine Script®
от tradingbauhaus
2
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
4
Divergence Detector [TradingFinder] RSI + MACD + AO Oscillator 🔵 Introduction 🟣 Understanding Divergence As mentioned, divergence occurs in technical analysis when a stock's price behaves contrary to indicators on the price chart. Divergence can signify either a reversal of the stock's trend or a continuation of the previous trend correction. Divergences can act as reversal patterns or continuation patterns. Moreover, divergences can be utilized to identify potential support and resistance levels. For instance, when an indicator is trending upwards and positive, but the price is declining and trending downwards, divergence occurs. Divergence in a stock indicates trader indecision in buying and selling and warns traders to reconsider their decisions regarding buying or holding the stock. Divergence aids analysts in identifying critical price points. In indicator divergences, it serves as a potent signal in the realm of technical analysis. 🟣 Types of Divergence 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 Key Note : This indicator is specifically designed to identify "Regular Divergence" only. Therefore, the following explanation pertains to this type of divergence. 🔵 Regular Divergence/Convergence Regular Divergence(Convergence) occurs due to conflicting behavior between the indicator and the price chart, typically at the end of a trend. Recognizing Regular Divergence suggests an anticipation of a trend reversal or a pattern resembling a reversal. 🟣 Positive Regular Divergence (RD+) In contrast to negative divergence, positive Regular Divergence occurs at the end of a downtrend and between two price lows. It manifests when the price forms a new low on the price chart, but the indicator fails to recognize it. Positive Regular Divergence indicates strong buying pressure and weak selling pressure. Following the identification of positive divergence on the chart, one can anticipate a price increase for the examined stock. 🟣 Negative Regular Divergence (RD-) This type of Regular Divergence emerges between two price highs during an uptrend. A new high is formed on the price chart, but the indicator fails to acknowledge it. This scenario indicates negative Regular Divergence. The likelihood of a subsequent market downturn is high. Negative divergence signifies strong selling pressure and weak buying pressure, suggesting an unfavorable future for the stock. 🔵 How to use By utilizing the "Fractal Period" input, you can specify your desired periods for identifying divergences. Additionally, through the "Divergence Detect Method" feature, you can choose which oscillators (MACD, RSI, or AO) to base divergence identification on. Divergence in MACD Oscillator : Divergence in the MACD indicator occurs when the price chart and the MACD line form a noticeable opposing pattern, meaning the price moves contrary to the MACD line. In this scenario, one expects a reversal in price direction. Divergence in RSI Oscillator : If divergence occurs during a downtrend on the price chart (two consecutive lows, with the second low being lower) and on the corresponding RSI point (two consecutive lows, with the second low being higher), it signifies positive Regular Divergence and implies a buying signal. Conversely, if divergence occurs during an uptrend on the price chart (two consecutive highs, with the second high being higher) and on the corresponding RSI point (two consecutive highs, with the second high being lower), it indicates negative Regular Divergence, signaling a selling opportunity. Divergence in AO Oscillator : The AO indicator calculates histograms similar to the AO base. It calculates the difference between the simple moving averages of 5 and 34 periods based on the median of each bar. Then, it plots the bars based on the difference. It then compares the histograms to detect peaks and troughs in the AO histograms and compares the identified peaks and troughs to the price. Whenever divergence is detected, it plots lines and arrows. 🔵 Table The table contains information on the functional features of this oscillator that you can utilize. Four categories of information are presented in the table: "Exist," "Consecutive," "Divergence Quality," and "Change Phase Indicator." Exist : If divergence exists, you'll see "+" in this row. Consecutive : Divergences may occur consecutively. If same-type divergences form within short intervals, you can observe the count in this row. Divergence Quality : Based on the number of consecutive divergences, their quality can be evaluated. If one divergence exists, its quality is considered "Normal." If two divergences exist, the quality is "Good," and if three or more divergences exist, the quality is considered "Strong." Change Phase Indicator : If a phase change occurs between two oscillation peaks formed based on divergence, this change is identified and displayed in this row.
Индикатор Pine Script®
от TFlab
9
MACD Crossover with +/- FilterThis is to directly target when MACD crosses the Signal line. The purpose of this script is to target a +/- change of 3 in the MACD value after the most recent cross. It uses the value of the MACD line and holds it until a value of 3.00 + or - a crossover or crossunder happens. That's the significance of the red and green circles that appear on the chart. This is not financial advice, but I wanted to recreate what a friend of mine was doing manually and automate it for him. The first circle that appears after MACD/SIGNAL lines cross would represent a potential trade idea. The circles after the first one match the intention of the first dot as they meet the condition of more than a value of -3 or +3 as the previous dot. Inputs: Standard Inputs as normal MACD (Moving Average Converging Divergence) within TradingView Fast Length: User can change it to any value they want Slow Length: User can change it to any value they want Standard 12, 26, 9 as normal MACD // 9 being signal smoothing Oscillator and Signal Line moving average type is using EMA's Timeframe is dependent on user chart. Circles are used for signaling the change in values. Red indicates a short-term bearish trend. Green indicates a short-term bullish trend. Tested on lower timeframes: 1m, 3m, 5m, 15m, 60m Not used as much on higher timeframes. Used for trading futures. This is what I use it for. It can be used for other futures than just NQ or ES, but those 2 are the ones that I've tested. Code it shown below for users to tinker with. Style of indication symbol can be changed via settings within the indicator in the "Style" tab, as well as location of the symbol(s). Additionally, color can be changed as well, if you prefer different colors. Not financial advice. Just trade ideas.
Индикатор Pine Script®
от x5w
1
TrendPivotsLibrary "TrendPivots" This library provides functions to search for bullish and bearish divergences between pivots and indicators. Functions search for higher highs and lower lows, automating lines, labels and signals for technical analysis and strategies. method maxBeforeLast(id)   Method function to get the maximum price before the last, stored in an array pivotPoint.   Namespace types: pivotPoint   Parameters:      id (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: pivotPoint method minBeforeLast(id)   Method function to get the minimum price before the last, stored in an array pivotPoint.   Namespace types: pivotPoint   Parameters:      id (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: pivotPoint method pivotLine(id, a, b, color)   Sets the coordinates of a given line using two pivotPoint variables.   Namespace types: series line   Parameters:      id (line) : (line) Existing line      a (pivotPoint) : (pivotPoint) First pivotPoint.      b (pivotPoint) : (pivotPoint) Second pivotPoint.      color (color) : (color) The desired color. Default is red.   Returns: void bearishDivergence(pivotArray)   Look for bearish divergence in a pivotPoint array cointaining pivot highs.   Parameters:      pivotArray (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: bool True if bearish divergence was found. bullishDivergence(pivotArray)   Look for bullish divergence in a pivotPoint array cointaining pivot lows.   Parameters:      pivotArray (pivotPoint ) : (array pivotPoint) The pivotPoint array to inspect.   Returns: bool True if bullish divergence was found. uptrendPivot(leftBars, rightBars, indicator, reset, plotLabel, plotLine)   Detects higher highs, higher lows and bearish divergence in an uptrend. Creates a line when bearish divergence is found, and labels.   Parameters:      leftBars (int) : (int)      rightBars (int) : (int)      indicator (float) : (float) RSI, MACD or other value.      reset (bool) : (bool) A bool variable to reinitiates the pivot computation, such as time changes, crossovers, or another.      plotLabel (bool) : (bool) If true (default), plots labels to higher highs and for each pivot low. Default = true.      plotLine (bool) : (bool) If true (default), plots a line linking the lower lows with divergence. Default = true.   Returns: downtrendPivot(leftBars, rightBars, indicator, reset, plotLabel, plotLine)   Detects lower lows, lower highs, and bullish divergence in a downtrend. Creates a line when bullish divergence is found, and labels.   Parameters:      leftBars (int) : (int)      rightBars (int) : (int)      indicator (float) : (float) RSI, MACD or other value.      reset (bool) : (bool) A bool variable to reinitiates the pivot computation, such as time changes, crossovers, or another.      plotLabel (bool) : (bool) If true (default), plots labels to lower lows, and for each pivot low.      plotLine (bool) : (bool) If true (default), plots a line linking the lower lows with divergence. Default = true.   Returns: pivotPoint   The coordinates of a pivot point and corresponding indicator value.   Fields:      x (series int) : (int) Time.      y (series float) : (float) Price.      indicator (series float) : (float) Indicator value.
Библиотека Pine Script®
от metacamaleo
1
Bollinger RSI BandsIndicator Description: The "Bollinger RSI Bands" is an advanced technical analysis tool designed to empower traders with comprehensive insights into market trends, reversals, and overbought/oversold conditions. This multifaceted indicator combines the unique features of candle coloration and Bollinger Bands with the Relative Strength Index (RSI), making it an indispensable tool for traders seeking to optimize their trading strategies. Purpose: The primary purpose of the "Bollinger RSI Bands" indicator is to provide traders with a holistic view of market dynamics by offering the following key functionalities: Candle Coloration: The indicator's signature candle colors - green for bullish and red for bearish - serve as a visual representation of the prevailing market trend, enabling traders to quickly identify and confirm market direction. RSI-Based Moving Average: A smoothed RSI-based moving average is plotted, facilitating the detection of trend changes and potential reversal points with greater clarity. RSI Bands: Upper and lower RSI bands, set at 70 and 30, respectively, help traders pinpoint overbought and oversold conditions, aiding in timely entry and exit decisions. Bollinger Bands: In addition to RSI bands, Bollinger Bands are overlaid on the RSI-based moving average, offering insights into price volatility and highlighting potential breakout opportunities. How to Use: To maximize the utility of the "Bollinger RSI Bands" indicator, traders can follow these essential steps: Candle Color Confirmation: Assess the color of the candles. Green candles signify a bullish trend, while red candles indicate a bearish trend, providing a clear and intuitive visual confirmation of market direction. Overbought and Oversold Identification: Monitor price levels relative to the upper RSI band (70) for potential overbought signals and below the lower RSI band (30) for potential oversold signals, allowing for timely adjustments to trading positions. Trend Reversal Recognition: Observe changes in the direction of the RSI-based moving average. A transition from bearish to bullish, or vice versa, can serve as a valuable signal for potential trend reversals. Volatility and Breakout Opportunities: Keep a watchful eye on the Bollinger Bands. Expanding bands signify increased price volatility, often signaling forthcoming breakout opportunities. Why Use It: The "Bollinger RSI Bands" indicator offers traders several compelling reasons to incorporate it into their trading strategies: Clear Trend Confirmation: The indicator's distinct candle colors provide traders with immediate confirmation of the current trend direction, simplifying trend-following strategies. Precise Entry and Exit Points: By identifying overbought and oversold conditions, traders can make more precise entries and exits, optimizing their risk-reward ratios. Timely Trend Reversal Signals: Recognizing shifts in the RSI-based moving average direction allows traders to anticipate potential trend reversals and adapt their strategies accordingly. Volatility Insights: Bollinger Bands offer valuable insights into price volatility, aiding in the identification of potential breakout opportunities. User-Friendly and Versatile: Despite its advanced features, the indicator remains user-friendly and versatile, catering to traders of all experience levels. In summary, the "Bollinger RSI Bands" indicator is an indispensable tool for traders seeking a comprehensive view of market dynamics. With its unique combination of candle coloration and Bollinger Bands, it empowers traders to make more informed and strategic trading decisions, ultimately enhancing their trading outcomes. Note: Always utilize this indicator in conjunction with other technical and fundamental analysis tools and exercise prudence in your trading decisions. Past performance is not indicative of future results.
Индикатор Pine Script®
от tseddik
4
Moving Average Contrarian IndicatorThis indicator is designed to identify potential turning points in the market. By measuring the distance between the price and a moving average, and normalizing it, the MACI provides valuable insights into market sentiment and potential reversals. In this article, we will explore the calculation, interpretation, and practical applications of the MACI, along with its potential limitations. The MACI is calculated in several steps. First, a moving average is computed using a user-defined length, representing the average price over the specified period. The distance between the current price and the moving average is then determined. This distance is normalized using the highest and lowest distances observed within the chosen length, resulting in a value between 0 and 100. Higher MACI values indicate that the price is relatively far from the moving average, potentially signaling an overextension, while lower values suggest price consolidation or convergence with the moving average. Altering the parameters of the Moving Average Contrarian Indicator can provide traders with additional flexibility and adaptability to suit different market conditions and trading styles. By adjusting the length parameter, traders can customize the sensitivity of the indicator to price movements. A shorter length may result in more frequent and responsive signals, which can be useful for short-term traders aiming to capture quick price reversals. On the other hand, a longer length may provide smoother signals, suited for traders who prefer to focus on longer-term trends and are less concerned with minor fluctuations. Experimenting with different parameter values allows traders to fine-tune the indicator to align with their preferred trading timeframes and risk tolerance. However, it is essential to strike a balance and avoid excessive parameter adjustments that may lead to over-optimization or curve fitting. Regular evaluation and optimization based on historical data and real-time market observations can help identify the most suitable parameter values for optimal performance. The coloration of the Moving Average Contrarian Indicator provides visual cues that assist traders in interpreting its signals. The background color, set based on the indicator's values, adds an additional layer of context to the chart. When the indicator is indicating bullish conditions, the background color is set to lime, suggesting a favorable environment for long positions. Conversely, when the indicator signals bearish conditions, the background color is set to fuchsia, indicating a potential advantage for short positions. In neutral or transitional periods, the background color is set to yellow, indicating caution and the absence of a clear bias. The bar color complements the histogram and provides additional visual clarity. When the MACI value is greater than the MACI SMA value and exceeds the threshold of 30, the bars are colored lime, signaling potential bullish conditions. Conversely, when the MACI value is below the MACI SMA value and falls below the threshold of 70, the bars are colored fuchsia, indicating potential bearish conditions. For values that fall between these thresholds, the bars are colored yellow, highlighting a neutral or transitional state. Practical Uses and Strategies: The MACI offers traders and analysts valuable insights into market dynamics and potential reversal points. When the MACI is above its moving average and above a predefined threshold (e.g., 30), it suggests that prices have deviated significantly from the average and may be overbought. This could serve as an early indication for potential short-selling opportunities or taking profits on existing long positions. Conversely, when the MACI is below its moving average and below a predefined threshold (e.g., 70), it suggests oversold conditions, potentially signaling a buying opportunity. Traders can combine MACI with other technical indicators or price patterns to further refine their trading strategies. The MACI can be a powerful tool for identifying potential market reversals. When the MACI reaches extreme levels, such as above 70 or below 30, it indicates overbought or oversold conditions, respectively. Traders can use these signals to anticipate price reversals and adjust their trading strategies accordingly. For example, when the MACI enters the overbought zone, traders may consider initiating short positions or tightening stop-loss levels on existing long positions. Conversely, when the MACI enters the oversold zone, it may indicate a buying opportunity, prompting traders to consider initiating long positions or loosening stop-loss levels. The MACI can also be used in conjunction with price action to identify potential divergence patterns. Divergence occurs when the MACI and price move in opposite directions. For instance, if the price is making higher highs while the MACI is making lower highs, it suggests a bearish divergence, indicating a potential trend reversal. Conversely, if the price is making lower lows while the MACI is making higher lows, it suggests a bullish divergence, signaling a potential trend reversal to the upside. Traders can use these divergence patterns as additional confirmation signals when making trading decisions. Limitations: -- Sideways and Choppy Markets : The MACI performs best in trending markets where price movements are more pronounced. In sideways or choppy markets with limited directional bias, the MACI may generate false signals or provide less reliable indications. Traders should exercise caution when relying solely on the MACI in such market conditions and consider incorporating additional analysis techniques or filters to confirm potential signals. -- Lagging Indicator : The MACI is a lagging indicator, as it relies on moving averages and historical price data. It may not provide timely signals for very short-term trading or capturing rapid price movements. Traders should be aware that there may be a delay between the occurrence of a signal and its confirmation by the MACI. -- False Signals : Like any technical indicator, the MACI is not immune to false signals. It is essential to use the MACI in conjunction with other technical indicators, chart patterns, or fundamental analysis to increase the probability of accurate predictions. Combining multiple confirmation signals can help filter out false signals and enhance the overall reliability of trading decisions. -- Market Conditions : It's important to consider that the effectiveness of the MACI may vary across different markets and asset classes. Each market has its own characteristics, and what works well in one market may not work as effectively in another. Traders should evaluate the performance of the MACI within their specific trading environment and adapt their strategies accordingly. This indicator can be a valuable addition to a trader's toolkit, offering insights into potential entry and exit points. However, it should be used in conjunction with other analysis techniques and should not be relied upon as a standalone trading signal. Understanding its calculation, interpreting its values, and considering its limitations will empower traders to make more informed decisions in their pursuit of trading success.
Индикатор Pine Script®
от LeafAlgo
4
Converging Pullbacks and PeaksMulti Timeframe Converging Lines Indicator. Using the highest/lowest Values at 2 different lengths. Convergence created by taking the highest/lowest value and subtracting/adding the # of barssince the highest/lowest bar was set multiplied by the price multiplied by the float. Curves are created from averaging out the emas of the center lines of the extremeties. Helps show trendlines automatically most of the time but can be tweaked by changing the floats or Fast/Slow lengths to you liking.
Индикатор Pine Script®
от EsIstTurnt
Squeeze Index [LuxAlgo]The Squeeze Index aims to measure the action of price being squeezed, and is expressed as a percentage, with higher values suggesting prices are subject to a higher degree of compression. Settings Convergence Factor: Convergence factor of exponential envelopes. Length: Period of the indicator. Src: Source input of the indicator. Usage Prices being squeezed refer to the action of price being compressed within a tightening area. Prices in a tight area logically indicate a period of stationarity, price breaking out of this area will generally indicate the trader whether to buy or sell depending on the breakout direction. The convergence factor and length settings both play an important role in the returned indicator values. A convergence factor greater than the period value will detect more squeezed prices area, while a period greater than the convergence will return fewer detected squeezed areas. We recommend using a convergence factor equal to the period setting or a convergence factor twice as high. The above chart makes use of a convergence factor of 100 and a period of 10. Due to the calculation method, it is possible to see retracements being interpreted as price squeezing. This effect can be emphasized with higher convergence factor values. Details In order to measure the effect of price being squeezed in a tighter area we refer to damping, where the oscillations amplitude of a system decrease over time. If the envelopes of a damped system can be estimated, then getting the difference between the upper and lower extremity of these envelopes would return a decreasing series of values. This approach is used here. First the difference between the exponential envelopes extremities is obtained, the logarithm of this difference if obtained due to the extremities converging exponentially toward their input. We then use the correlation oscillator to get a scaled measurement.
Индикатор Pine Script®
от LuxAlgo
19
Median Convergence DivergenceIntroduction The Median Convergence Divergence (MCD) is a derivative of the Moving Average Convergence Divergence (MACD). The difference is the change in the use of the measure of central tendency. In MACD, moving average (mean) is used, whereas, in MCD, the median is used instead. The purpose of using the median is to eliminate the outlying values, which would be calculated for a moving average. The outliers would affect the value of the moving average. For example: 3, 5, 7, 8, 5, 4, 2, 1, 6, 21, 8. The data set average is 6.3, whereas the median value is 5. There is a difference of about 23% in the example. The reason is the outlying value '21' in the data set. As the markets are volatile, outlying values can always emerge. A moving average will consider those values; on the other hand, the median will ignore. If the strategy calls for a tool to ignore the outliers, the Median Convergence Divergence would be a great centered oscillator. The default values have changed to suit the current trading days in a week. When the MACD was introduced, there would be six trading days in a week. Therefore, it used 12 (2 weeks), 26(4 weeks), and 9 ( 1.5 weeks). But now that there are five trading days per week. The default values are adapted to them. Feel free to change them as per your wish. Recommended Settings The current settings are set to be used for the Daily Time Frame: 5 day period for the fast line, a 20 day period for the slow line, and a 10 day period for the signal line. (5 days represent a trading week, 10 days is two weeks, and 20 days is 4 weeks or a month) For the weekly charts, use 4 week period for the fast line, 13 week period for the slow line, and 8 week period for the signal line. (4 weeks represent a month, 8 weeks is two months, and 13 weeks is 3 months or quarterly) And for monthly charts, use 3 month period for the fast line, 12 month period for the slow line, and 6 month period for the signal line. (3 months is quarterly, 6 months is bi-yearly, and 12 month is yearly) It'll be challenging to measure for intraday since there are many different timeframes within intraday. The settings mentioned above should also be customized as per the requirements of the trading strategy. Strategy The strategy application is the same as the MACD, i.e., Signal Line Crossovers, Zero Line Crossovers, and Divergence. Signal Line Crossovers: When the MCD line crosses above the Signal line, it's a bullish crossover. When the MCD line crosses below the Signal line, it's a bearish crossover. Zero Line Crossovers: It's a bullish crossover when the MCD line crosses above the Zero line. When the MCD line crosses below the Zero Line, it's a bearish crossover. Divergence: When price shows a lower low, but MCD shows a higher low, it's a bullish divergence. When the price shows a higher high but MCD shows a lower high, it's a bearish divergence. Using other indicators in conjunction with the Median Convergence Divergence is recommended to take entry and exit signals.
Индикатор Pine Script®
от maksumit
18
RSI Linear Regression with ZigZag by zdmreBoth the RSI (Relative Strength Index) and the Linear Regression ( LR ) rank among the most popular momentum indicators used in trading. When used in combination with other technical indicators (ZigZag), both RSI, LR and ZigZag can offer value in validating trade opportunities to optimize your risk management practices. Here’s a look at how to use RSI, LR and ZigZag (Can be used for divergence patterns.) as part of your trade analysis. If you have new ideas to improve this indicator then let me know please. ***Use it at your own risk
Индикатор Pine Script®
от zdmre
11
Multi timeframes RSI Screener & indicator by noop42Since my previous x4 multi timeframes Stochastic RSI script seems to have been appreciated, I decided to make a 2nd version of this tool which focuses on the RSI indicator only. Default parameters RSI length : 14 Timeframes: 5, 15, 60, 240 OB/OS zones : 70 & 30 Repaint mode: enabled Display lines: enabled Display screener: enabled Convergence warnings: timeframes 1, 2 & 3 Details Repaint mode : Disabling it makes the indicator wait for the current candle to close before to change its value Display lines: Allows you to disable RSI lines drawings, in order to move the screener on your main chart for example. Display screener: Allows you to disable the screener, in order to use RSI lines only OB/OS convergences warnings : Allows you to select which timeframe(s) must be taken into consideration for convergence signals (Selected timeframes can be distinguished in the screener, followed by a * char in the timeframes column) Note The Stochastic RSI version of this tool is available here
Индикатор Pine Script®
от noop-noop
3