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M.Ataoglu_Super_Ortalamalar | M.Ataoglu_Super_Averages📊 M.Ataoglu Super Averages - Multi-Moving Average Analysis System English Description: M.Ataoglu Super Averages is a comprehensive multi-moving average analysis system that provides advanced technical analysis using 40 different moving average periods ranging from 25 to 1000 periods. This indicator combines multiple technical analysis concepts to deliver powerful trading signals and market insights. 🔧 How It Works: The system calculates 40 different moving averages using 8 different MA types (EMA, SMA, VWMA, WMA, HMA, DEMA, TEMA, KAMA) across four time horizons: Short-term (25-125 periods): 5 EMAs for immediate market direction Medium-term (150-375 periods): 11 EMAs for intermediate trend analysis Long-term (400-600 periods): 9 EMAs for major trend identification Super long-term (625-1000 periods): 15 EMAs for structural market analysis 📈 Core Analysis Methods: EMA Hierarchy Analysis: Evaluates the alignment of key EMAs (25, 50, 200, 500, 1000) to determine overall market structure Volume Analysis: Compares current volume to 20-period average to identify volume breakouts and confirm signals Momentum Tracking: Calculates momentum for price and key EMAs to detect acceleration/deceleration Cross Signal Generation: Monitors golden/death crosses at multiple timeframes for entry/exit signals Risk Assessment: Provides risk levels based on EMA alignment and market conditions 🎯 Signal Generation Logic: Strong Buy: 8+ bullish EMAs + EMA hierarchy + high volume Buy: 6+ bullish EMAs + EMA 25 > EMA 50 Sell: 4 or fewer bullish EMAs + bearish hierarchy Strong Sell: 2 or fewer bullish EMAs + bearish hierarchy + high volume ⚙️ Key Features: 8 different moving average types for flexibility Comprehensive volume analysis with ratio calculations Advanced momentum tracking system Multiple alert conditions for different market scenarios Visual table display with real-time market status Risk level assessment based on EMA alignment Support for multiple timeframes and instruments 📊 Usage Guidelines: Use for trend identification across multiple timeframes Combine with volume analysis for signal confirmation Monitor EMA hierarchy for overall market structure Use momentum indicators for entry/exit timing Apply risk management based on provided risk levels ⚠️ Risk Disclaimer: This indicator is for educational and analysis purposes only. Past performance does not guarantee future results. Always use proper risk management and consider multiple factors before making trading decisions.
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Risk-On - Risk-Off 3 Alarm System V2📍 Risk-On / Risk-Off Alarm Labels This overlay indicator visually displays the activation status of three key risk criteria directly on the chart using colored labels: Trend – Flagged red when price is below the 20-day EMA. Breadth – Flagged red when net new 52-week highs (NASDAQ + NYSE) are negative. Momentum – Flagged red when the PPO histogram is negative. The top label shows the total number of risk-off criteria active (0 to 3). Green dots = condition favorable (risk-on). Red dots = condition unfavorable (risk-off). Use this for fast visual confirmation of market conditions and to support allocation or de-risking decisions.
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Risk Criteria Score Histogram V2📊 Risk Criteria Score Histogram This indicator visualizes a daily risk score ranging from 0 to 3, based on three core market conditions: Trend Risk – Activated when price is below the 20-day EMA. Breadth Risk – Triggered when net new 52-week highs (NASDAQ + NYSE) are negative. Momentum Risk – Flagged when the PPO histogram turns negative. Each day, the script calculates how many of these criteria are signaling risk-off conditions. The result is plotted as a color-coded histogram: 🟩 0 – No risk signals (favorable environment) 🟨 1 – Mild caution 🟧 2 – Elevated risk 🟥 3 – All signals active (risk-off conditions) This tool helps traders track shifts in market conditions and adjust exposure accordingly. Ideal for macro and swing trading perspectives.
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Quantum Range Filter by MRKcoin### Quantum Range Filter by MRKcoin **Overview** This indicator is a sophisticated range detection tool designed based on the principles of quantitative multi-factor models. Instead of relying on a single condition, it assesses the market from three different dimensions to provide a more robust and reliable identification of range-bound (sideways) markets. When the background is highlighted in red, it indicates that the market is likely in a range phase, suggesting that trend-following strategies may be less effective, and mean-reversion (range trading) strategies could be more suitable. --- **Core Logic: A Multi-Factor Approach** The filter evaluates the market state using the following three independent factors: 1. **Momentum Volatility (RSI Bollinger Bandwidth):** * **Question:** Is the momentum of the market contracting? * **Method:** It measures the width of the Bollinger Bands applied to the RSI. A narrow bandwidth suggests that momentum is consolidating, which is a common characteristic of a range market. 2. **Price Volatility (ATR Ratio):** * **Question:** Is the actual price movement shrinking? * **Method:** It calculates the Average True Range (ATR) as a percentage of the closing price. A low ratio indicates that the price volatility itself is low, reinforcing the case for a range environment. 3. **Absence of Trend (ADX):** * **Question:** Is there a lack of a clear directional trend? * **Method:** It uses the Average Directional Index (ADX), a standard tool for measuring trend strength. A low ADX value provides active confirmation that the market is not in a trending phase. --- **How to Use** 1. **Range Detection:** The primary use is to identify ranging markets. The red highlighted background serves as a visual cue. 2. **Strategy Selection:** * **Inside the Red Zone:** Consider using range-trading strategies (e.g., buying at support, selling at resistance, using oscillators like RSI or Stochastics for overbought/oversold signals). Avoid using trend-following indicators like moving average crossovers, as they are prone to generating false signals in these conditions. * **Outside the Red Zone:** The market is likely trending. Trend-following strategies are more appropriate. 3. **Parameter Tuning (In Settings):** * **This is the key to adapting the filter to any market or timeframe.** Different assets (like BTC vs. ETH) and different timeframes have unique volatility characteristics. Don't hesitate to adjust the parameters to fit the specific chart you are analyzing. * **Range Detection Score:** This is the most important setting. It determines how many of the three factors must agree to classify the market as a range. The default is `2`, which provides a good balance. * If the filter seems **too sensitive** (highlighting too often), increase the score to `3`. * If the filter seems **not sensitive enough** (missing obvious ranges), decrease the score to `1`. * **Factor Thresholds:** For fine-tuning, adjust the thresholds for each factor. * **`RSI BB Width Threshold`:** If you want to detect even tighter momentum consolidations, *decrease* this value. * **`ATR Ratio Threshold`:** If you want to be stricter about price volatility, *decrease* this value. * **`ADX Threshold`:** To be more lenient on what constitutes a "trendless" market, *increase* this value (e.g., to 30). To be stricter, *decrease* it (e.g., to 20). * **Pro Tip:** Use the Debug Table (uncomment it in the script's code) to see the live values of each factor. This will give you a clear idea of how to set the thresholds for the specific asset you are trading. **Disclaimer** This indicator is a tool to assist in market analysis and should not be used as a standalone signal for making financial decisions. Always use it in conjunction with your own trading strategy, risk management, and analysis. Past performance is not indicative of future results. **Credits** * **Concept & Vision:** MRKcoin
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