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Oscillators

hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross Description (English): This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis. How It Works: ATR for Breakout Levels: The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility. RSI for Momentum Confirmation: The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum. Moving Average Cross for Trend Validation: Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals. Why Combine These Indicators? The ATR ensures breakout levels are realistic and volatility-adjusted. The RSI avoids false signals by confirming if the price has momentum during a breakout. Moving Average crossovers add trend-following confirmation, helping traders align with market direction. The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions. Key Features: Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR. RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot. Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals. Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals. Custom Alerts: Configurable alerts for breakouts and moving average crossovers. How to Use It: Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy. Look for "BUY" signals when: Price breaks above the resistance level, and RSI indicates oversold conditions. Moving averages cross bullishly. Look for "SELL" signals when: Price breaks below the support level, and RSI indicates overbought conditions. Moving averages cross bearishly. Use alerts for automated notifications about potential trades. Notes: This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting. Always test in demo mode before applying it to live trading.
อินดิเคเตอร์ Pine Script™
โดย hmenaverse
EMA Tabanlı Al-Sat Sinyalleri//@version=5 indicator("EMA Tabanlı Al-Sat Sinyalleri", overlay=true) // Kullanıcı ayarları emaLength = input.int(50, minval=1, title="EMA Uzunluğu") smaLength = input.int(14, minval=1, title="SMA Uzunluğu") atrLength = input.int(14, minval=1, title="ATR Uzunluğu") stochRsiLength = input.int(14, minval=1, title="Stoch RSI Uzunluğu") adxLength = input.int(14, minval=1, title="ADX Uzunluğu") adxSmoothing = input.int(14, minval=1, title="ADX Smoothing") mfiLength = input.int(14, minval=1, title="MFI Uzunluğu") // EMA Hesaplama ema = ta.ema(close, emaLength) // ATR Hesaplama atr = ta.atr(atrLength) // Stoch RSI Hesaplama k = ta.sma(ta.stoch(close, high, low, stochRsiLength), 3) d = ta.sma(k, 3) // ADX Hesaplama = ta.dmi(adxLength, adxSmoothing) // Al-Sat Şartları alSinyali = ta.crossover(close, ema) and k > d and adx > 25 satSinyali = ta.crossunder(close, ema) and k < d and adx > 25 // Grafik İşaretçileri plot(ema, color=color.blue, title="EMA") plotshape(alSinyali, style=shape.labelup, location=location.belowbar, color=color.green, title="Al Sinyali") plotshape(satSinyali, style=shape.labeldown, location=location.abovebar, color=color.red, title="Sat Sinyali") // Al-Sat Sinyallerini Göster if (alSinyali) label.new(bar_index, low, "AL", style=label.style_label_up, color=color.green, textcolor=color.white) if (satSinyali) label.new(bar_index, high, "SAT", style=label.style_label_down, color=color.red, textcolor=color.white) // Al ve Sat Sinyallerini İşaretle bgcolor(alSinyali ? color.new(color.green, 90) : na) bgcolor(satSinyali ? color.new(color.red, 90) : na) // Al ve Sat Bildirimleri alertcondition(alSinyali, title="Al Sinyali", message="Al Sinyali Tetiklendi!") alertcondition(satSinyali, title="Sat Sinyali", message="Sat Sinyali Tetiklendi!")
อินดิเคเตอร์ Pine Script™
โดย simyaci81
Combined Open and Close Volume MomentumCombined Open and Close Volume Momentum Indicator This indicator calculates and visualizes the momentum of Open and Close volumes based on changes in Open Interest (OI) and price direction. It provides traders with a clear view of volume dynamics and their impact on market momentum. Key Features: Open Volume Momentum: Tracks the momentum of volume associated with new positions being opened. Differentiates between green candles (positive momentum) and red candles (negative momentum). Accumulates momentum over time, with an option to reset periodically. Close Volume Momentum: Tracks the momentum of volume associated with closing existing positions. Momentum is weighted by price direction: Price increase → Positive momentum. Price decrease → Negative momentum. Accumulates momentum over time, with an option to reset periodically. Reset Functionality: Allows traders to reset accumulated momentum after a specified period (in days). Customizable reset period for both Open and Close volume momentum. Visual Representation: Green Line → Positive Open Volume Momentum. Red Line → Negative Open Volume Momentum. Blue Line → Positive Close Volume Momentum. Orange Line → Negative Close Volume Momentum. Includes a gray dotted zero line for reference. Use Case: This indicator is ideal for futures traders who want to: Analyze the impact of volume dynamics on market momentum. Differentiate between momentum caused by opening new positions and closing existing positions. Identify trends and reversals based on volume and price action. Reset momentum data periodically for fresh analysis. How It Works: Open Volume Momentum: Calculated from Open Interest changes when new positions are opened. Green candles → Positive momentum. Red candles → Negative momentum. Accumulated over time, with optional periodic resets. Close Volume Momentum: Calculated from volume associated with closing positions. Momentum is weighted by price direction: Price increases → Positive contribution. Price decreases → Negative contribution. Accumulated over time, with optional periodic resets. Reset Functionality: Enabled by default and customizable through input settings. Reset period is defined in days. Visualization: Open Volume Momentum is plotted as a line that changes color: Green Line → Positive momentum. Red Line → Negative momentum. Close Volume Momentum is plotted as a line that changes color: Blue Line → Positive momentum. Orange Line → Negative momentum. A gray dotted zero line is included for reference.
อินดิเคเตอร์ Pine Script™
โดย Angick
EMA + RSI + SR Key Features: Inputs: EMA Length (default: 50), RSI Length (14), HMA Length (20). Overbought (70) and Oversold (30) RSI levels. Support/Resistance Lookback (50). Calculations: EMA: Trend baseline. HMA: Smoother trend detection. RSI: Overbought/oversold conditions. Support/Resistance Levels: Recent highs/lows over the lookback period. Signals: Buy: Uptrend + RSI oversold + near support. Sell: Downtrend + RSI overbought + near resistance. Visuals: Plots EMA, HMA, RSI levels, support/resistance lines. Buy/sell signals as labels on the chart. Alerts: Notifications for buy/sell signals.
อินดิเคเตอร์ Pine Script™
โดย msdbargh
AH Money MakerExplanation: Stochastic Oscillator: Provides signals based on the closing price's position relative to the high-low range over a period, considered more leading as it reacts to price changes quickly. Rate of Change (ROC): Measures the percentage change in price over a period, giving insight into momentum which can precede price movements. Price Action: The direct change from one closing price to the next can be indicative of immediate mean reversion opportunities, especially when combined with the above indicators. Entry Condition: We aim to buy when the stochastic is in oversold territory, the ROC suggests a momentum shift from downward to potentially upward, and there's a price increase, signaling a possible mean reversion. Exit Condition: Sell when the stochastic moves into overbought or when ROC suggests the upward momentum might be waning. Notes: This strategy still uses some form of historical data but focuses on indicators that react quicker to price changes, aiming to be more "leading" in nature. As with any trading strategy, extensive backtesting, forward testing, and adjustment based on performance in various market conditions are necessary. Leading indicators can generate more false signals, so risk management like stop-losses is crucial. Remember, no strategy guarantees success, and this approach should be part of a broader investment or trading plan. LSE:SPX
กลยุทธ์ Pine Script™
โดย MrPeaceMaker
Brave V1Brave V1 Indicator: Strategic and Reliable Trading Tool Brave V1 is a powerful technical analysis indicator designed to help you make accurate trading decisions. By seamlessly integrating multiple indicators, it identifies trends and potential reversal points with precision. What Does It Do? Brave V1 simplifies complex market movements into actionable signals. Beyond just traditional indicators, it also leverages the power of candlestick movements to generate highly accurate and dynamic insights. Features: Stochastic RSI (%K and %D): Identifies overbought and oversold zones to provide momentum analysis. Moving Averages: Utilizes specially crafted weighted moving averages (WMA) to detect dynamic support and resistance levels in price action. CCI (Commodity Channel Index): Confirms market trend reversal points for added accuracy. Hidden Candlestick Analysis: Harnesses the subtle movements and formations of candlesticks to create robust, adaptive signals. This feature analyzes candlestick structure and alignment with other indicators to refine entry and exit points. Customizable Settings: Easily adjust parameters to fit your unique trading strategy. Use Cases: Timeframe Flexibility: Brave V1 adapts to all market conditions, working effectively across timeframes from 1-minute to daily charts. Trend and Reversal Strategies: Suitable for both trend-following traders and those seeking short-term reversal opportunities. Signal Logic: Buy (Long) Signals: Generated when strong price movements occur below key moving averages and align with momentum indicators. Sell (Short) Signals: Triggered by weakening price actions above moving averages with supporting momentum indicators. Candlestick-Powered Signals: Assesses closing and opening price dynamics alongside volume patterns to generate precise signals at critical moments. Who Is It For? New traders looking for a simplified yet effective analysis tool. Experienced traders seeking a more refined and accurate way to enhance their strategies. Brave V1 doesn’t just rely on technical indicators; it intelligently incorporates candlestick dynamics to strengthen its signal accuracy. This unique combination ensures reliable signals in both trending and reversal conditions. Try Brave V1 now on TradingView and unlock the hidden stories behind market movements!
อินดิเคเตอร์ Pine Script™
โดย juandirat
1
ZenAlgo - WavesZenAlgo - Waves is a powerful technical analysis indicator that combines multiple tools into a cohesive framework for identifying market trends, momentum shifts, and potential trading opportunities. By integrating WaveTrend, RSI+MFI, and custom Moving Averages (MA), this indicator offers traders visual insights into overbought/oversold conditions, trend strength, and divergence patterns. Unique features like state classifications and multi-timeframe trend tables provide a comprehensive view of the market. Features This indicator introduces several customizations and integrations that distinguish it from free alternatives: WaveTrend Oscillator (WT): Detects momentum shifts and overbought/oversold zones with customizable thresholds. RSI + MFI Fusion: A combined price-volume metric, displayed as a color-coded histogram, offering insights into market dynamics. Customizable Moving Average (MA): Includes various advanced MA types (e.g., EMA, HullMA, ZEMA) for flexible trend detection and dynamic coloring to reflect trend direction. Dynamic Zones: Overbought and oversold levels are highlighted with gradient intensity for easy identification of extreme conditions. Divergence Detection: Identifies both regular and hidden divergences for WaveTrend and RSI+MFI, marking potential reversal areas with visual labels. State Classification: Categorizes market conditions into predefined states such as "No Brain Buy" or "Fire (Sell)" based on Extra MA values. Multi-Timeframe Trend Table: Summarizes WaveTrend, RSI+MFI, and Extra MA data across multiple timeframes (1m to 1D), helping traders assess market behavior. Actionable Alerts: Configurable alerts for WaveTrend crossovers, Extra MA signals, and key conditions like "Hot Sell" and "Cold Buy." Added Value: Why Is This Indicator Original? ZenAlgo - Waves integrates freely available sub-indicators like WaveTrend and RSI with unique enhancements that save time and improve accuracy. Features such as divergence detection for both WaveTrend and RSI+MFI, state classifications based on Extra MA ranges, and multi-timeframe alignment simplify analysis while reducing noise. These synergies and visualizations create actionable insights unavailable in standalone free indicators. Reason for Combining Multiple Sub-Indicators Standalone indicators often analyze a single aspect of market conditions (e.g., momentum or volume). ZenAlgo - Waves bridges these gaps by integrating: WaveTrend: Detects momentum changes and extreme price levels. RSI + MFI: Validates WaveTrend signals by incorporating price-volume relationships. Custom MA: Provides trend context, filtering out countertrend signals. The synergy between these components reduces false signals by validating insights from multiple perspectives, improving confidence in trading decisions. Synergy of Combined Indicators WaveTrend and RSI + MFI: WaveTrend identifies overbought/oversold conditions, while RSI+MFI confirms momentum shifts based on price-volume dynamics. This combined approach minimizes noise and enhances signal reliability. WaveTrend and MA: The trend direction of the MA refines WaveTrend signals, ensuring trades align with the broader market trend. Divergence and Dynamic Zones: Divergence signals are more actionable when visualized alongside gradient-filled overbought/oversold zones. How It Works 1. WaveTrend Oscillator Calculates WT1 (momentum line) and WT2 (signal line) using smoothed averages. Highlights overbought/oversold thresholds with customizable levels (OBL, OSL). 2. RSI + MFI Fusion Combines Relative Strength Index and Money Flow Index values into a smoothed metric. Displays as a color-coded histogram, indicating increasing or decreasing trends. 3. Custom Moving Average (MA) Supports multiple MA types (e.g., TEMA, HullMA) for trend analysis. Changes color dynamically based on rising or falling trends. 4. Dynamic Zones Highlights areas above OBL and below OSL with gradient intensity, indicating overbought/oversold conditions. 5. Divergence Detection Identifies regular and hidden divergences for WaveTrend and RSI+MFI. Marks divergence points with "R" (regular) and "H" (hidden) labels. 6. State Classification Categorizes market conditions into states (e.g., "No Brain Buy") based on Extra MA values. Visualizes state transitions with color-coded highlights. 7. Multi-Timeframe Trend Table Displays trends for WT, RSI+MFI, and Extra MA across six timeframes. Helps traders confirm alignment across short- and long-term trends. 8. Alerts Configurable alerts for divergence signals, WaveTrend crossovers, and Extra MA conditions like "Hot Sell" or "Cold Buy." Usage Examples Overbought Reversal: Sell when WT1 crosses below WT2 in the overbought zone (OBL), confirmed by a bearish RSI+MFI histogram. Bullish Divergence: Enter a buy position when a bullish divergence appears between RSI+MFI and price in the oversold zone (OSL). Trend Confirmation: Align WaveTrend buy signals with a rising Extra MA for stronger trend confirmation. State Transitions: Monitor state changes like "No Brain Buy" or "Fire (Sell)" for entry or exit signals. Multi-Timeframe Validation: Use the table to confirm short-term signals against long-term trends, avoiding false entries. Settings WaveTrend Parameters: Channel Length, MA Length, Overbought/Oversold Levels. RSI+MFI Parameters: RSI+MFI Period, RSI+MFI Multiplier. MA Configuration: Type (e.g., EMA, HullMA), length, and trend reaction sensitivity. Visualization Options: Show/hide dynamic zones, divergences, table, and histogram. Alerts: Configure alerts for crossovers, divergences, and state changes. Important Notes This indicator is a technical analysis tool and does not guarantee trading success. Known Limitations: May perform poorly in low-volume or highly volatile markets. Best Practices: Use ZenAlgo - Waves in conjunction with other indicators and fundamental analysis for a comprehensive strategy.
อินดิเคเตอร์ Pine Script™
โดย ZenAlgo_Official
SPK Sentiment IndicatorThis indicator analyzes various technical indicators, standardizes their values to a range between -1 and 1, applies weights, and calculates an average value, which is displayed on the diagram. The diagram turns green when the sentiment is oversold and red when it is overbought. The entry criteria are also simple. A long position should be taken when green changes to gray, and a short position when red changes to gray—on closed candles, of course.
อินดิเคเตอร์ Pine Script™
โดย Spankin
Multi-Timeframe Stochastic OverviewPurpose of the Multi-Timeframe Stochastic Indicator: The Multi-Timeframe Stochastic Indicator provides a consolidated view of market conditions across multiple timeframes (M1, M5, M15, H1) based on the Stochastic Oscillator, a popular technical analysis tool. The main objective is to allow traders to quickly assess momentum and potential trend reversals across different timeframes on a single chart, helping to make informed trading decisions. --- General Purpose of Stochastic Oscillator: The Stochastic Oscillator measures the relationship between a security's closing price and its price range over a given period, aiming to identify momentum, overbought/oversold levels, and potential reversal points. It works on the assumption that: 1. In uptrends, prices tend to close near their highs. 2. In downtrends, prices tend to close near their lows. It consists of two lines: %K (fast line): Represents the raw Stochastic value. %D (slow line): A moving average of %K, used to smooth the data for better signals. The indicator is generally used to: Identify Overbought (price above 80% threshold) and Oversold (price below 20% threshold) conditions. Spot Bullish and Bearish divergences for potential trend reversals. Evaluate momentum strength within a trend. --- How This Multi-Timeframe Indicator Enhances Stochastic's Utility: 1. Multi-Timeframe Overview: The indicator calculates Stochastic values for multiple timeframes (1-minute, 5-minute, 15-minute, and 1-hour) and displays their market conditions (e.g., Bullish, Bearish, Overbought, Oversold, or Indecision) in an organized table format. This gives traders a broad perspective on short-term, mid-term, and long-term trends simultaneously. 2. Market Condition Summary: Bullish: Indicates upward momentum (both %K and %D > 50%). Bearish: Indicates downward momentum (both %K and %D < 50%). Overbought: Suggests potential trend exhaustion (both %K and %D > 80%). Oversold: Suggests a potential reversal to the upside (both %K and %D < 20%). Indecision: Highlights uncertainty when %K and %D are on opposite sides of the 50% level. 3. Quick Decision-Making: The color-coded table (green for Bullish/Overbought, red for Bearish/Oversold, orange for Indecision) allows traders to quickly identify dominant conditions and momentum alignment across timeframes, helping in trade confirmation. 4. Trend Analysis: By observing alignment or divergence in market conditions across timeframes, traders can gauge the strength of a trend or anticipate reversals. For example: If all timeframes show "Bullish," it suggests strong momentum. If smaller timeframes are "Overbought" while larger ones are "Bearish," it warns of a possible pullback. 5. Customizable Parameters: The indicator allows customization of Stochastic K, D, smoothing values, and overbought/oversold levels, enabling users to tailor the analysis to specific trading styles or market conditions. --- Use Cases: 1. Scalping: A scalper can use lower timeframes (e.g., M1, M5) to find overbought/oversold zones for quick trades. 2. Swing Trading: Swing traders can align smaller timeframes with higher ones (e.g., M15 and H1) to confirm momentum before entering a trade. 3. Trend Reversals: Overbought or oversold conditions across all timeframes may indicate a major reversal point, helping traders plan exits or countertrend entries. 4. Trend Continuation: Consistent bullish or bearish conditions across all timeframes confirm the continuation of a trend, providing confidence to hold positions. --- Summary: This indicator enhances the traditional Stochastic Oscillator by giving a multi-timeframe snapshot of market momentum, overbought/oversold conditions, and trend direction. It enables traders to quickly assess the overall market state, spot opportunities, and make more informed trading decisions.
อินดิเคเตอร์ Pine Script™
โดย Elwick
SMAs (14,21,50,100) by ShabiDefinition This is the Simple moving average of 14, 21, 50, 100) . Simple Moving Average (SMA) is a price based, lagging (or reactive) indicator that displays the average price of a security over a set period of time. A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance. Essentially, Moving Averages smooth out the “noise” when trying to interpret charts. Noise is made up of fluctuations of both price and volume. Because a Moving Average is a lagging indicator and reacts to events that have already happened, it is not used as a predictive indicator but rather an interpretive one, used for confirmations and analysis. Simple Moving Average is an unweighted Moving Average. This means that each day in the data set has equal importance and is weighted equally. As each new day ends, the oldest data point is dropped and the newest one is added to the beginning. It must be taken into account that, while SMA helps filter out the noise and see the general direction in which the symbol has been moving, it is also slow to react to newer changes. The higher the SMA length is, the longer it will take for a major price change to be notably reflected in it. CALCULATION A Simple Moving Average with the length of X is a sum of last X values divided by X. Here is an example calculation of an SMA with the length of 3: Sum of Period Values / Number of Periods Closing Prices to be used: 5, 6, 7, 8, 9 First Day of 3 Period SMA: (5 + 6 + 7) / 3 = 6 Second Day of 3 Period SMA: (6 + 7 + 8) / 3 = 7 Third Day of 3 Period SMA: (7 + 8 + 9) /3 = 8
อินดิเคเตอร์ Pine Script™
โดย mailtoshabi
Breakout Trading with RSI and ATR Enhancements 2.0 MENATitle: Breakout Trading with RSI and ATR Enhancements Description: This script combines key technical analysis tools, including RSI, ATR, and moving averages, to provide breakout trading signals with enhanced precision. Designed for traders who want to capture market breakouts while filtering false signals, this script integrates the following components: ATR-Based Breakout Levels: The script calculates upper and lower breakout levels using the Average True Range (ATR). These levels are dynamically adjusted to reflect recent volatility, helping traders identify potential price breakout zones. RSI Signals (Buy and Sell): RSI Buy Signal: The script identifies oversold conditions (RSI < 30) in an uptrend, confirmed by price trading above the longer-term moving average (200-period SMA). RSI Sell Signal: The script identifies overbought conditions (RSI > 70) in a downtrend, confirmed by price trading below the longer-term moving average. These signals help traders detect potential reversals and avoid trading against the trend. Moving Average Crossovers: Short-term and long-term moving averages are included to detect momentum shifts. The crossover of a short-period MA (9) and a long-period MA (21) acts as an additional confirmation for entry and exit points. Custom Alerts for Breakouts and RSI Signals: Alerts are built into the script, enabling traders to receive real-time notifications for breakout levels or when RSI-based buy/sell conditions are met. How It Works: The script uses ATR to determine dynamic breakout zones based on the highest resistance and lowest support within a specified lookback period. The RSI-based signals are filtered using the 200-period moving average, ensuring signals align with the dominant trend. Moving average crossovers provide additional confirmation for trend reversals. How to Use: Breakout Trading: Monitor the breakout levels plotted on the chart (green for upper and red for lower levels). Enter a trade when the price crosses these levels and aligns with the trend. RSI Signals: Look for RSI Buy/Sell labels on the chart to identify potential entry and exit points. These signals are filtered to avoid whipsaws in trending markets. Alerts: Set custom alerts for breakout levels or RSI signals using the built-in alert conditions for seamless trading. Why It’s Useful: This script combines volatility-based breakout detection with trend-following RSI signals, providing a robust framework for breakout traders. By filtering signals based on moving averages and ATR levels, it minimizes noise and helps traders focus on high-probability setups. Note: This script is designed for educational purposes and should be used alongside proper risk management and additional analysis.
อินดิเคเตอร์ Pine Script™
โดย vestymx80866