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Moving Averages

EMA Crossover Strategy - High Reward, Low Loss Trading Indicator🔹 Created by Aniketsinh 🚀 About This Strategy: The EMA Crossover Strategy is designed for traders who prefer fewer trades with higher profit potential. It focuses on catching strong trends while minimizing unnecessary losses. Even if only 4 out of 10 trades succeed, the risk-reward ratio ensures more profits than losses. 📌 Key Features: ✅ Uses 50 EMA & 200 EMA for trend confirmation ✅ RSI filtering for momentum-based entries ✅ Volume confirmation to avoid false signals ✅ Stop Loss & Take Profit with a 3x reward-to-risk ratio ✅ Works well on crypto, forex, and stocks 📈 How It Works: BUY Signal: 50 EMA crosses above 200 EMA, RSI > 50, and volume is high. SELL Signal: 50 EMA crosses below 200 EMA, RSI < 50, and volume is high. Stop Loss & Take Profit: Stop loss below recent low, and take profit at 3x risk. 🔍 Best Timeframes: Works well on higher timeframes like 1H, 4H, Daily for better accuracy. ⚠️ Risk Disclaimer: No strategy is 100% perfect. Always use proper risk management and backtest before live trading. 💡 Try It Now & Optimize for Your Trading Style! Let me know your feedback! 🚀
Pine Script™ strategy
by Aniketsinh23
Moving Average Shaded with Angle2 moving averages which you can edit in the settings. Selections are SMA,EMA or HMA and of course how many periods are available. In addition to the moving averages you have a color coded Cloud showing bullish or bearish trends. Lastly there are 3 print tables Top Right, Bottom Right and Middle Right. Top Right is the angle of the fast moving average. Bottom Right is the angle of the slow moving average and Middle right is an average of the 2. These are also color coded green numbers are bullish and red numbers are bearish. In the settings are threshold fields which allow increasing angle thresholds to give grey numbers if the angles are below these thresholds allowing for numerically quantifying sideways markets vs strong trending markets.
Pine Script™ indicator
by mybrainhertz
TEMA,SMA & VWAP Indicator//@version=5 indicator("TEMA,SMA & VWAP Indicator", overlay=true) // Input parameter for TEMA length tema_length = input.int(title="TEMA Length", defval=30, minval=1, step=1) // Input settings for SMAs sma5_length = input.int(5, title="SMA 5 Length") sma20_length = input.int(20, title="SMA 20 Length") sma50_length = input.int(50, title="SMA 50 Length") sma100_length = input.int(100, title="SMA 100 Length") sma200_length = input.int(200, title="SMA 200 Length") // Calculate TEMA manually ema1 = ta.ema(close, tema_length) ema2 = ta.ema(ema1, tema_length) ema3 = ta.ema(ema2, tema_length) tema = 3 * (ema1 - ema2) + ema3 // Calculate SMAs sma5 = ta.sma(close, sma5_length) sma20 = ta.sma(close, sma20_length) sma50 = ta.sma(close, sma50_length) sma100 = ta.sma(close, sma100_length) sma200 = ta.sma(close, sma200_length) // VWAP Calculation vwap = ta.vwap // Plot TEMA plot(tema, title="TEMA", color=color.orange, linewidth=1, style=plot.style_line) // Plot SMAs plot(sma5, color=color.yellow, title="SMA 5") plot(sma20, color=color.purple, title="SMA 20") plot(sma50, color=color.red, title="SMA 50") plot(sma100, color=color.green, title="SMA 100") plot(sma200, color=color.black, title="SMA 200") // Plot VWAP plot(vwap, color=color.blue, linewidth=1, title="VWAP") // Optional: Add background color based on trend bgcolor(close > sma200 ? color.new(color.green, 90) : close < sma200 ? color.new(color.red, 90) : na, title="Trend Background")
Pine Script™ indicator
by dralbort
TEMA,SMA & VWAP Indicator//@version=5 indicator("TEMA,SMA & VWAP Indicator", overlay=true) // Input parameter for TEMA length tema_length = input.int(title="TEMA Length", defval=30, minval=1, step=1) // Input settings for SMAs sma5_length = input.int(5, title="SMA 5 Length") sma20_length = input.int(20, title="SMA 20 Length") sma50_length = input.int(50, title="SMA 50 Length") sma100_length = input.int(100, title="SMA 100 Length") sma200_length = input.int(200, title="SMA 200 Length") // Calculate TEMA manually ema1 = ta.ema(close, tema_length) ema2 = ta.ema(ema1, tema_length) ema3 = ta.ema(ema2, tema_length) tema = 3 * (ema1 - ema2) + ema3 // Calculate SMAs sma5 = ta.sma(close, sma5_length) sma20 = ta.sma(close, sma20_length) sma50 = ta.sma(close, sma50_length) sma100 = ta.sma(close, sma100_length) sma200 = ta.sma(close, sma200_length) // VWAP Calculation vwap = ta.vwap // Plot TEMA plot(tema, title="TEMA", color=color.orange, linewidth=1, style=plot.style_line) // Plot SMAs plot(sma5, color=color.yellow, title="SMA 5") plot(sma20, color=color.purple, title="SMA 20") plot(sma50, color=color.red, title="SMA 50") plot(sma100, color=color.green, title="SMA 100") plot(sma200, color=color.black, title="SMA 200") // Plot VWAP plot(vwap, color=color.blue, linewidth=1, title="VWAP") // Optional: Add background color based on trend bgcolor(close > sma200 ? color.new(color.green, 90) : close < sma200 ? color.new(color.red, 90) : na, title="Trend Background")
Pine Script™ indicator
by dralbort
Price Imbalance as Consecutive Levels of AveragesOverview The Price Imbalance as Consecutive Levels of Averages indicator is an advanced technical analysis tool designed to identify and visualize price imbalances in financial markets. Unlike traditional moving average (MA) indicators that update continuously with each new price bar, this indicator employs moving averages calculated over consecutive, non-overlapping historical windows. This unique approach leverages comparative historical data to provide deeper insights into trend strength and potential reversals, offering traders a more nuanced understanding of market dynamics and reducing the likelihood of false signals or fakeouts. Key Features Consecutive Rolling Moving Averages: Utilizes three distinct simple moving averages (SMAs) calculated over consecutive, non-overlapping windows to capture different historical segments of price data. Dynamic Color-Coded Visualization: SMA lines change color and style based on the relationship between the averages, highlighting both extreme and normal market conditions. Median and Secondary Median Lines: Provides additional layers of price distribution insight during normal trend conditions through the plotting of primary and secondary median lines. Fakeout Prevention: Filters out short-term volatility and sharp price movements by requiring consistent historical alignment of multiple moving averages. Customizable Parameters: Offers flexibility to adjust SMA window lengths and line extensions to align with various trading strategies and timeframes. Real-Time Updates with Historical Context: Continuously recalculates and updates SMA lines based on comparative historical windows, ensuring that the indicator reflects both current and past market conditions. Inputs & Settings Rolling Window Lengths: Window 1 Length (Most Recent) Bars: Number of bars used to calculate the most recent SMA. (Default: 5, Range: 2–300) Window 2 Length (Preceding) Bars: Number of bars for the second SMA, shifted by Window 1. (Default: 8, Range: 2–300) Window 3 Length (Third Rolling) Bars: Number of bars for the third SMA, shifted by the combined lengths of Window 1 and Window 2. (Default: 13, Range: 2–300) Horizontal Line Extension: Horizontal Line Extension (Bars): Determines how far each SMA line extends horizontally on the chart. (Default: 10 bars, Range: 1–100) Functionality and Theory 1. Calculating Consecutive Simple Moving Averages (SMAs): The indicator calculates three SMAs, each based on distinct and consecutive historical windows of price data. This approach contrasts with traditional MAs that continuously update with each new price bar, offering a static view of past trends rather than an ongoing one. Mean1 (SMA1): Calculated over the most recent Window 1 Length bars. Represents the short-term trend. Mean1=∑i=1N1CloseiN1 Mean1=N1​∑i=1N1​​Closei​​ Where N1N1​ is the length of Window 1. Mean2 (SMA2): Calculated over the preceding Window 2 Length bars, shifted back by Window 1 Length bars. Represents the medium-term trend. \text{Mean2} = \frac{\sum_{i=1}^{N_2} \text{Close}_{i + N_1}}}{N_2} Where N2N2​ is the length of Window 2. Mean3 (SMA3): Calculated over the third rolling Window 3 Length bars, shifted back by the combined lengths of Window 1 and Window 2 bars. Represents the long-term trend. \text{Mean3} = \frac{\sum_{i=1}^{N_3} \text{Close}_{i + N_1 + N_2}}}{N_3} Where N3N3​ is the length of Window 3. 2. Determining Market Conditions: The relationship between the three SMAs categorizes the market condition into either extreme or normal states, enabling traders to quickly assess trend strength and potential reversals. Extreme Bullish: Mean3Mean2>Mean1 Mean3>Mean2>Mean1 Indicates a strong and sustained downward trend. SMA lines are colored purple and styled as dashed lines. Normal Bullish: Mean1>Mean2andnot in extreme bullish condition Mean1>Mean2andnot in extreme bullish condition Indicates a standard upward trend. SMA lines are colored green and styled as solid lines. Normal Bearish: Mean1Mean2>Mean1 Mean3>Mean2>Mean1 Normal Bullish: Mean1>Mean2andnot in Extreme Bullish Mean1>Mean2andnot in Extreme Bullish Normal Bearish: Mean1 Mean2 > Mean3 Visualization: All three SMAs are displayed as gold dashed lines. Median Lines: Not displayed to maintain chart clarity. Interpretation: Indicates a strong and sustained upward trend. Traders may consider entering long positions, confident in the trend's strength without the distraction of additional lines. 2. Normal Bullish Condition: SMAs Alignment: Mean1 > Mean2 (not in extreme condition) Visualization: Mean1 and Mean2 are green solid lines; Mean3 is gray. Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians. Interpretation: Confirms an upward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively. 3. Extreme Bearish Condition: SMAs Alignment: Mean3 > Mean2 > Mean1 Visualization: All three SMAs are displayed as purple dashed lines. Median Lines: Not displayed to maintain chart clarity. Interpretation: Indicates a strong and sustained downward trend. Traders may consider entering short positions, confident in the trend's strength without the distraction of additional lines. 4. Normal Bearish Condition: SMAs Alignment: Mean1 < Mean2 (not in extreme condition) Visualization: Mean1 and Mean2 are red solid lines; Mean3 is gray. Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians. Interpretation: Confirms a downward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively. Customization and Flexibility The Price Imbalance as Consecutive Levels of Averages indicator is highly adaptable, allowing traders to tailor it to their specific trading styles and market conditions through adjustable parameters: SMA Window Lengths: Modify the lengths of Window 1, Window 2, and Window 3 to capture different historical trend segments, whether focusing on short-term fluctuations or long-term movements. Line Extension: Adjust the horizontal extension of SMA and median lines to align with different trading horizons and chart preferences. Color and Style Preferences: While default colors and styles are optimized for clarity, traders can customize these elements to match their personal chart aesthetics and enhance visual differentiation. This flexibility ensures that the indicator remains versatile and applicable across various markets, asset classes, and trading strategies, providing valuable insights tailored to individual trading needs. Conclusion The Price Imbalance as Consecutive Levels of Averages indicator offers a comprehensive and innovative approach to analyzing price trends and imbalances within financial markets. By utilizing three consecutive, non-overlapping SMAs and incorporating median lines during normal trend conditions, the indicator provides clear and actionable insights into trend strength and price distribution. Its unique design leverages comparative historical data, distinguishing it from traditional moving averages and enhancing its utility in identifying genuine market movements while minimizing false signals. This dynamic and customizable tool empowers traders to refine their technical analysis, optimize their trading strategies, and navigate the markets with greater confidence and precision.
Pine Script™ indicator
by garysebastianbrowniii
Power Trend [MacAlgo]Description: The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes. Key Features: Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection. Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends. Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions. Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements. Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences. Highlighting: Highlights trending bars for easy visualization of market conditions. Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time. How it Works: 1. ATR-Based Trend Calculation: ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe. Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines. 2. Moving Averages: EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends. AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference. 3. Volume Analysis: Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength. Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements. 4. Momentum Indicators: RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength. 5. Signal Generation: Standard Signals: Basic buy and sell signals based on trend crossovers. Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades. Customization Options: Tailor the Power Trend Indicator to your specific trading needs with the following settings: ATR Period: Set the period for ATR calculation (default: 8). ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0). Source: Choose the price source (e.g., HL2, Close) for calculations. Change ATR Calculation Method: Toggle between different ATR calculation methods. Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart. Highlighting: Turn on or off the bar highlighting feature. Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set the indicator's timeframe. Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes). Visual Components: Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral). Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line. Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals. Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors. Highlighting: Transparent overlays highlight trending areas to enhance visual clarity. Alerts: Stay informed with customizable alerts that notify you of important market movements: SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated. Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions. Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa. How to Use: Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView. Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing. Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend. Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points. Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities. Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience. Important Notes: Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy. Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary. Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital. Disclaimer: This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
Pine Script™ indicator
by MacAlgo
SCALPING STRATEGY//@version=5 strategy("High Probability Scalping Strategy", overlay=true) // Indicators emaFast = ta.ema(close, 9) emaSlow = ta.ema(close, 21) vwap = ta.vwap(close) = macdLine = ta.ema(close, 12) - ta.ema(close, 26) signalLine = ta.ema(macdLine, 9) bbMiddle = ta.sma(close, 20) bbUpper = bbMiddle + (ta.stdev(close, 20) * 2) bbLower = bbMiddle - (ta.stdev(close, 20) * 2) // Buy Entry Conditions buyCondition = ta.crossover(emaFast, emaSlow) and close > vwap and rsiValue > rsiSignal and macdLine > signalLine if (buyCondition) strategy.entry("Long", strategy.long) // Sell Entry Conditions sellCondition = ta.crossunder(emaFast, emaSlow) and close < vwap and rsiValue < rsiSignal and macdLine < signalLine if (sellCondition) strategy.entry("Short", strategy.short) // Stop Loss & Take Profit strategy.exit("Exit Long", from_entry="Long", loss=10, profit=20) strategy.exit("Exit Short", from_entry="Short", loss=10, profit=20)
Pine Script™ indicator
by OlumideT
Bollinger Bands with SMAs, MFI, and Volumemanaging long positions based on the 9, 21, and 50 simple moving averages (SMAs) into the Pine Script that already includes Bollinger Bands, we need to define the following conditions: Long Position Conditions: Enter a long position when the 9-period SMA crosses above the 21-period SMA. Confirm the long position when the 9-period SMA bounces off the 21-period SMA. Maintain the long position if the 9-period SMA crosses above the 50-period SMA. The position remains long if the price retraces and then bounces off the 50-period SMA.
Pine Script™ indicator
by substantialOra30303
Ultimate RZR Indicator//@version=5 indicator("Ultimate RZR Multi-Indicator Suite", shorttitle="URZR", overlay=true) // ==== DESCRIPTION ==== /* **ULTIMATE RZR MULTI-INDICATOR SUITE** *All-in-One Trading Tool for Trend Analysis & Volume-Based Signals* ▄▀▄ FEATURES ▄▀▄ • **7 Integrated Indicators** ✓ RSI (Overbought/Oversold) ✓ MACD (Momentum) ✓ Volume Spike Detection ✓ Moving Average Filter ✓ Bollinger Bands ✓ Stochastic Oscillator ✓ Fibonacci Retracements • **Smart Signal Logic** ▶ BUY Conditions: - RSI Oversold + MACD Bullish - Price > MA + Volume Spike - Stochastic Confirmation ▶ SELL Conditions: - RSI Overbought + MACD Bearish - Price < MA + Volume Spike - Stochastic Confirmation • **Visual Tools** - Automatic Fibonacci Levels - Clean Bollinger Band Display - Non-Repainting Signals ▄▀▄ HOW TO USE ▄▀▄ 1. Apply to any chart (Stocks/Crypto/Forex) 2. Customize inputs via Settings: • Adjust indicator lengths • Modify Fibonacci levels • Set volume sensitivity 3. Combine with horizontal S/R levels ▄▀▄ IDEAL FOR ▄▀▄ • Swing Traders (4H-1D Timeframes) • Crypto Day Traders (15m-1H) • Pullback Strategy Enthusiasts ⚠️ **Disclaimer**: Educational purpose only. Always backtest strategies. */
Pine Script™ indicator
by RanaZainUsman
Gold Trading StrategyStrategy Logic:* 1. *Trend Filter:* Uses 50/200 EMA crossovers (common for gold trend identification) 2. *Momentum Confirmation:* MACD crossover system with RSI filter 3. *Volatility Breakout:* Entry on 20-period high/low breaks 4. *Risk Management:* 2% stop-loss and 3% take-profit levels *Key Features:* - Visual EMA trend lines - Dynamic support/resistance levels - Clear buy/sell signals with alerts - Integrated risk management - Works best on 1H-4H timeframes for gold *Usage Tips:* 1. Apply to XAU/USD charts 2. Best used on 1-hour or 4-hour timeframes 3. Combine with fundamental analysis (USD news, geopolitical events) 4. Adjust stop-loss/take-profit based on volatility (use ATR as reference) *Optimization Suggestions:* - Test different EMA combinations (e.g., 100/200) - Adjust RSI thresholds based on gold's current volatility - Modify lookback period for support/resistance levels - Experiment with different timeframes (works best 1H-4H) Remember to: - Always forward-test with small positions first - Adjust parameters during different market regimes - Combine with gold-specific news analysis - Monitor USD strength and real yields correlation
Pine Script™ strategy
by adnankhan1420
6 Medias Móviles con RSI, Dólar MEP y Tendencia Tendencia Mayoritaria: La variable trend se inicializa con el valor "Neutral", de forma explícita. Usé la palabra clave var para asegurarnos de que el valor de la variable trend se mantenga a través de las barras. Manejo del na: Se ha eliminado el uso de na de manera incorrecta y se ha utilizado una forma correcta de asignación, con valores explícitos para variables de tipo string. Valor del label: Se ha cambiado la posición del label a una forma más correcta de manejarlo, usando el índice de la barra. Tendencia: La variable trend ahora se evalúa correctamente sin errores.
Pine Script™ indicator
by miguelangelhermosa7