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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!")
Pine Script™ indikatörü
simyaci81 tarafından
BB + Stochastic Oscillator + ATR / Owl of ProfitBollinger Bands + Stochastic Oscillator + ATR Strategy This strategy combines Bollinger Bands, the Stochastic Oscillator, and Average True Range (ATR) for trading opportunities based on volatility, momentum, and trend confirmation. Features Bollinger Bands: Calculates dynamic upper and lower bands around a moving average. Identifies overbought and oversold price levels. Stochastic Oscillator: Detects momentum shifts in overbought (>80) and oversold (<20) regions. %K and %D crossings confirm entry points. ATR Integration: Measures market volatility. Confirms signals by requiring ATR to exceed a threshold for valid trades. Strategy Logic Buy Condition: Price closes below the lower Bollinger Band, signaling oversold conditions. Stochastic %K crosses above %D in the oversold region (<20). ATR is above the calculated ATR threshold, confirming sufficient volatility. Sell Condition: Price closes above the upper Bollinger Band, signaling overbought conditions. Stochastic %K crosses below %D in the overbought region (>80). ATR is above the calculated ATR threshold. Exit Strategy: Uses ATR-based Stop Loss and Take Profit levels for dynamic risk management. Visualization Bollinger Bands: Blue basis, red upper band, green lower band, and light blue fill. Stochastic Oscillator: Purple %K, orange %D, with overbought (80) and oversold (20) levels. ATR: Visualized with a blue line and a gray ATR threshold for better analysis of market conditions. Customization Bollinger Bands: Default Length: 20 Default Multiplier: 2.0 Stochastic Oscillator: %K Length: 14 %D Smoothing: 3 ATR: Default Length: 14 Default Multiplier: 1.5 Stop Loss and Take Profit: Based on ATR for dynamic trade exits. This strategy is ideal for traders looking to capitalize on volatility and momentum signals, with added confirmation from ATR to filter out low-volatility environments. Visit my website for more tools and strategies: bybitindicators.com Happy Trading! 😊
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Owl_of_Profit tarafından
Keltner Channel + RSI / Owl of ProfitKeltner Channel + RSI Strategy This strategy combines the Keltner Channel and RSI indicators to identify trading opportunities based on price levels and momentum. Features Keltner Channel Calculated using EMA and ATR. Upper and lower bounds provide a dynamic range for price action. Default parameters: EMA Period: 20 ATR Period: 10 ATR Multiplier: 1.5 RSI (Relative Strength Index) Identifies overbought and oversold conditions. Default parameters: RSI Period: 14 Overbought Level: 70 Oversold Level: 30 Strategy Conditions Long Entry Price crosses above the lower Keltner Channel. RSI is below the oversold level. Short Entry Price crosses below the upper Keltner Channel. RSI is above the overbought level. Exit Logic Close Long Price crosses below the EMA. RSI rises above 50. Close Short Price crosses above the EMA. RSI falls below 50. Visualization Keltner Channel: Upper and lower bounds plotted with transparent fill for better clarity. EMA line for midpoint reference. RSI: Plots RSI with dotted horizontal lines for overbought and oversold levels. Signal Markers: Buy (green) and Sell (red) labels plotted for entry signals. This strategy is ideal for traders who want to combine price action with momentum-based signals to capture dynamic market moves. Visit my website for more tools and strategies: bybitindicators.com Happy trading!
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Owl_of_Profit tarafından
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.
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msdbargh tarafından
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
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MrPeaceMaker tarafından
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!
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juandirat tarafından
1
Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets. Key Features: 🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision. 🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme. 📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points. 📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements. ⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance. How to Use: Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style. Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes. Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution. How It Works: The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
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AlgoAlpha tarafından
NQ Trading Indicator 2Buy Signal: Triggered when the MACD line crosses above the signal line and the RSI is below 30, indicating an oversold condition. Sell Signal: Triggered when the MACD line crosses below the signal line and the RSI is above 70, indicating an overbought condition. False Breakout Notification: Highlights when MACD and RSI indicate conditions opposing their typical breakout behavior (e.g., RSI is overbought during a bullish crossover or oversold during a bearish crossover).
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VTradingV tarafından
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.
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ZenAlgo_Official tarafından
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.
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Spankin tarafından
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.
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Elwick tarafından
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
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mailtoshabi tarafından