Black FridayUp to 80% OFF

Moving Averages

Best MA Finder: Sharpe/Sortino ScannerThis script, Best MA Finder: Sharpe/Sortino Scanner, is a tool designed to identify the moving average (SMA or EMA) that best acts as a dynamic trend threshold on a chart, based on risk-adjusted historical performance. It scans a wide range of MA lengths (SMA or EMA) and selects the one whose simple price vs MA crossover delivered the strongest results using either the Sharpe ratio or the Sortino ratio. Reading it is intuitive: when price spent time above the selected MA, conditions were on average more favorable in the backtest; below, less favorable. It is a trend and risk gauge, not an overbought or oversold signal. What it does: - Runs individual long-only crossover backtests for many MA lengths across short to very long horizons. - For each length, measures the total number of trades, the annualized Sharpe ratio, and the annualized Sortino ratio. - Uses the chosen metric value (Sharpe or Sortino) as the score to rank candidates. - Applies a minimum trade filter to discard statistically weak results. - Optionally applies a local stability filter to prefer a length that also outperforms its close neighbors by at least a small margin. - Selects the optimal MA and displays it on the chart with a concise summary table. How to use it: - Choose MA type: SMA or EMA. - Choose the metric: Sharpe or Sortino. - Set the minimum trade count to filter out weak samples. - Select the risk-free mode: Auto: uses a short-term risk-free rate for USD-priced symbols when available. Manual: you provide a risk-free ticker. None: no risk-free rate. - Optionally enable stability controls: neighbor radius and epsilon. - Toggle the on-chart summary table as needed. On-chart output: - The selected optimal MA is plotted. - The optional table shows MA length, number of trades, chosen metric value annualized, and the annual risk-free rate used. Key features: - Risk-adjusted optimization via Sharpe or Sortino for fair, comparable assessment. - Broad MA scan with SMA and EMA support. - Optional stability filter to avoid one-off spikes. - Clear and auditable presentation directly on the chart. Use cases: - Traders who want a defensible, data-driven trend threshold without manual trial and error. - Swing and trend-following workflows across timeframes and asset classes. - Quick SMA vs EMA comparisons using risk-adjusted results. Limitations: - Not a full trading strategy with position sizing, costs, funding, slippage, or stops. - Long-only, one position at a time. - Discrete set of MA lengths, not a continuous optimizer. - Requires sufficient price history and, if used, a reliable risk-free series. This script is open-source and built from original logic. It does not replicate closed-source scripts or reuse significant external components.
Pine Script® indicator
by Julien_Eche
2
Smart TP Manager V.1.1 (SL trail par TP)🔹 Smart TP Manager V1.1 – Trade Management Advanced A powerful TradingView tool designed to enhance trade management and protect profits. Features: Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX strength. Calculate and display a dynamic Stop Loss based on ATR. Automatically set TP1, TP2, TP3 with advanced Breakeven management: SL moves to Entry after TP1 hit SL moves to TP1 after TP2 hit, securing partial profits Track your performance with a comprehensive statistics table (Win/Loss, BE, win rate, net profit in R). Clear visual display of entries, SL, and TPs using colored lines and labels. Receive automatic alerts for every signal and target reached. Optional SL trailing feature to secure profits progressively as targets are hit. 📊 Smart TP Manager V1.1 is your assistant for risk control, trade optimization, and profit protection on TradingView.
Pine Script® indicator
by sufian97
1
FSVZO | Lyro RSFSVZO | Lyro RS This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format. Understanding the Indicator's Components The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart. The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation. Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend. Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions. Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations. Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane. White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend. Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average. Suggested Use and Interpretation Traders might use this indicator in several ways: Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend. Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal. Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios. Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal. Customization Options The indicator includes settings groups that allow you to adjust its behavior and appearance: FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements. Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off. Colors: Choose from several pre-set color palettes to suit your visual preferences. ⚠️Disclaimer This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Pine Script® indicator
by LyroRS
2
EMA Regime (9/20/50/100/200) — Stacked with 200 FilterEMA Regime (9/20/50/100/200) — Stacked Long/Short Box Plots the 9, 20, 50, 100, and 200 EMAs on the chart. Checks if price is above or below each EMA and whether the EMAs are stacked in order. LONG signal: price above all selected EMAs and EMAs stacked 9 > 20 > 50 > 100 >(> 200 if strict mode on). SHORT signal: price below all selected EMAs and EMAs stacked 9 < 20 < 50 < 100 (< 200 if strict mode on). Shows a two-row table (LONGS / SHORTS) so you can quickly see which EMAs are aligned. Optionally colors candles green/red when a full long/short regime is active. Can show labels when a new LONG or SHORT condition appears. Has alerts you can use for automated notifications when the regime flips. “Use 200 EMA in the stack” lets you choose ultra-strict mode (9>20>50>100>200) or lighter mode (9>20>50>100 but price & 9 above 200).
Pine Script® indicator
by jamesmchugh44
Universal Valuation ~ GForge 🎯 Universal Valuation - GForge Overview: The Universal Valuation indicator is a sophisticated technical analysis tool that combines 14 different technical indicators into a single, normalized composite Z-score. This revolutionary approach provides traders and investors with a comprehensive view of an asset's relative valuation state, helping identify potential overvalued and undervalued conditions across any market, any timeframe . 🌟 Key Features: Multi-Indicator Fusion: Combines RSI, CCI, Bollinger Bands, Price Analysis, Chande Momentum, Disparity Index, Hurst Exponent, IMI, TEMA, VWAP, Intraday Momentum, and advanced Risk Ratios (Sharpe, Sortino, Omega) Universal Compatibility: Works seamlessly across stocks, forex, crypto, commodities, indices, and any tradeable asset Multi-Timeframe Support: Optimized for all timeframes from 1-minute scalping to monthly long-term analysis Professional Visualization: 9 stunning color themes with gradient effects and customizable styling Comprehensive Dashboard: Real-time table displaying individual indicator scores and overall valuation phase Smart Alert System: Built-in notifications for extreme valuation conditions Z-Score Normalization: All indicators standardized for consistent comparison and interpretation 🔬 Technical Methodology: The indicator employs advanced statistical normalization using Z-scores to transform disparate technical indicators into a unified measurement system. This revolutionary approach solves the fundamental problem of combining indicators with different scales and ranges. 1H MNT Z-Score Normalization Process: Raw Calculation: Each indicator is first calculated using its traditional formula (RSI 0-100, CCI unlimited range, etc.) Statistical Analysis: For each indicator, the system calculates a rolling mean and standard deviation over a customizable lookback period Z-Score Conversion: Current reading is converted using: Z = (Current Value - Rolling Mean) / Rolling Standard Deviation Standardization: All Z-scores are clamped between -5 and +5 to prevent extreme outliers from dominating the composite Democratic Weighting: Each normalized indicator contributes equally to the final composite score Composite Calculation: Final score = Sum of all active Z-scores / Number of active indicators Why Z-Scores Make It Universal: Z-scores transform any indicator reading into "how many standard deviations away from normal this reading is." This means: • An RSI of 85 on a volatile crypto might have the same Z-score as an RSI of 75 on a stable stock • A CCI reading of +200 in a trending market might be less extreme than +100 in a ranging market • Price movements are automatically adjusted for each asset's historical volatility • Different timeframes are automatically normalized for their typical volatility patterns This mathematical approach ensures the indicator adapts to any asset's unique characteristics and market conditions. 📊 Detailed Component Analysis: Technical Indicators: RSI (Relative Strength Index): Calculates momentum by comparing recent gains to recent losses over a customizable period (default 21). Values above 70 traditionally indicate overbought conditions, while values below 30 suggest oversold conditions. The Universal Valuation converts these raw RSI values into Z-scores, providing a normalized view of how extreme current RSI readings are compared to historical patterns. CCI (Commodity Channel Index): Measures the current price level relative to an average price level over a given period (default 30). CCI compares the typical price (high+low+close)/3 to its simple moving average and divides by the mean absolute deviation. Values above +100 or below -100 indicate price extremes. Our Z-score normalization helps identify when CCI readings are statistically significant. Bollinger Bands Position: Calculates where the current price sits within the Bollinger Bands envelope. A value of +1 means price is at the upper band, -1 at the lower band, and 0 at the middle (SMA). This component measures price deviation from the mean in standard deviation units, making it naturally statistical. The Z-score normalization reveals when band position readings are historically extreme. Price Z-Score: Direct statistical measurement of how far the current price deviates from its historical mean in standard deviation units. This is the purest form of valuation measurement, showing whether an asset is trading at statistically significant levels relative to its historical price range. Momentum Indicators: Chande Momentum Oscillator (CMO): Unlike RSI, CMO uses the sum of gains and losses rather than averages, making it more sensitive to recent price changes. It calculates (sum of gains - sum of losses) / (sum of gains + sum of losses) × 100. Values range from -100 to +100. The Z-score normalization helps identify when momentum readings are unusually extreme. Disparity Index: Measures the percentage difference between current price and its simple moving average: (Price - SMA) / SMA × 100. This shows how far price has deviated from its average, with positive values indicating price above average and negative values below. Z-score normalization reveals when these deviations are statistically significant. Intraday Momentum Index (IMI): Similar to RSI but uses intraday price movements instead of closing prices. It compares gains and losses within each session (close vs open) rather than session-to-session changes. This captures intraday sentiment and momentum that closing-based indicators might miss. Particularly useful for detecting intraday reversal patterns. Intraday Momentum: Simple but effective measurement of daily price movement: (Close - Open) / Open × 100. This shows the percentage gain or loss within each trading session. When Z-score normalized, it reveals when intraday movements are historically extreme, often indicating climax buying or selling conditions. Advanced Indicators: TEMA (Triple Exponential Moving Average): A sophisticated moving average that applies exponential smoothing three times to reduce lag while maintaining responsiveness. TEMA = 3×EMA₁ - 3×EMA₂ + EMA₃, where each EMA is applied to the previous result. The Z-score of TEMA helps identify when price has moved significantly away from this responsive trend line. VWAP (Volume Weighted Average Price): Calculates the average price weighted by volume, giving more importance to prices where more volume occurred. VWAP = Σ(Price × Volume) / Σ(Volume). This represents the "fair value" based on actual trading activity. Z-score normalization shows when current VWAP is statistically extreme relative to historical VWAP levels. Hurst Exponent: Advanced mathematical concept measuring market efficiency and trend persistence. Values near 0.5 indicate random walk (efficient market), above 0.5 suggest trending behavior, and below 0.5 indicate mean-reverting markets. The indicator converts this to an oscillator: (Hurst - 0.5) × 100, then applies Z-score normalization to identify extreme efficiency/inefficiency periods. Risk Ratios: Sharpe Ratio: Classic risk-adjusted return measure: (Return - Risk-free Rate) / Standard Deviation of Returns. Higher values indicate better risk-adjusted performance. The Z-score normalization reveals when current risk-adjusted returns are historically high or low, helping identify periods of exceptional or poor risk-adjusted performance. Sortino Ratio: Improvement over Sharpe ratio that only penalizes downside volatility: (Return - Risk-free Rate) / Downside Deviation. This gives a more accurate picture of risk-adjusted returns since upside volatility isn't necessarily bad. Z-score normalization helps identify when downside risk-adjusted returns reach extreme levels. Omega Ratio: Sophisticated risk measure that considers the probability-weighted ratio of gains versus losses above a threshold: Σ(Gains above threshold) / Σ(Losses below threshold). Values above 1.0 indicate positive expected returns above the threshold. Z-score normalization reveals when probability-weighted risk/reward ratios reach historically significant levels. 🎨 Valuation Phases: The composite Z-score translates into clear valuation phases: 🔵 Extremely Undervalued: Z-Score ≤ -2.0 (Rare buying opportunities) 🟦 Strongly Undervalued: Z-Score ≤ -1.3 (Strong buying signals) 🟨 Moderately Undervalued: Z-Score ≤ -0.65 (Potential value plays) ⚪ Fairly Valued: Z-Score -0.65 to 0.5 (Neutral territory) 🟨 Slightly Overvalued: Z-Score 0.5 to 1.2 (Caution advised) 🟧 Moderately Overvalued: Z-Score 1.2 to 2.0 (Consider profit-taking) 🔴 Strongly Overvalued: Z-Score > 2.0 (High risk, potential sell signals) 12H GOLD 🌍 Universal Application: Why "Universal"? Timeframe Independent: Statistical normalization adapts to any timeframe's volatility characteristics Market Neutral: Works across different market conditions (trending, ranging, volatile, calm) Configurable Components: Enable/disable specific indicators based on asset type and market conditions Adaptive Parameters: All lookback periods are customizable for different trading styles 💡 Optimal Use Cases: Swing Trading: Identify intermediate-term reversal points Position Trading: Long-term value assessment for portfolio allocation Day Trading: Intraday extreme condition alerts Risk Management: Position sizing based on valuation extremes Multi-Asset Analysis: Compare relative value across different instruments Market Timing: Entry and exit point optimization ⚙️ Customization Options: Component Selection: Enable/disable any of the 14 indicators Lookback Periods: Adjust Z-score calculation periods for each component Visual Themes: 9 professional color schemes plus custom colors Alert Thresholds: Configurable extreme condition notifications Dashboard Display: Toggle individual component visibility Background Highlighting: Visual emphasis for extreme conditions 🎯 Interpretation Guide: For Long Positions: • Look for Z-scores below -1.3 for entry opportunities • Consider profit-taking when Z-scores exceed +1.2 • Use extreme readings (< -2.0) for high-conviction entries For Short Positions: • Look for Z-scores above +2.0 for entry opportunities • Cover positions when Z-scores fall below +0.5 • Avoid shorting during extreme undervaluation (< -1.3) For Risk Management: • Reduce position sizes during overvalued conditions • Increase allocation during undervalued periods • Use neutral zones (±0.5) for position adjustments 🔔 Alert System: Built-in alerts notify you when: Composite score enters/exits strong overvalued territory (±2.0) Composite score enters/exits strong undervalued territory (±1.3) Extreme conditions are reached (±2.5 for overvalued, -2.0 for undervalued) Neutral crossovers occur (useful for trend changes) 📈 Performance Optimization: The indicator includes several performance optimizations: Efficient calculation methods to minimize processing load Clamped Z-scores to prevent extreme outliers Optimized table rendering for smooth operation 🎨 Visual Elements: Main Plot: Composite Z-score line with dynamic gradient coloring Zone Fills: Visual bands showing valuation regions Reference Lines: Key threshold levels clearly marked Background Highlighting: Extreme condition emphasis Dashboard Table: Comprehensive component breakdown Bar Coloring: Optional candlestick coloring based on valuation 🔧 Technical Requirements: Requires sufficient historical data for accurate Z-score calculations Recommended minimum: 300+ bars for optimal performance Works on all TradingView subscription levels 📚 Educational Value: This indicator serves as an excellent educational tool for: Understanding statistical normalization in trading Learning how multiple indicators can be combined effectively Studying market valuation concepts across different assets Developing a systematic approach to market analysis ⚠️ Important Notes: The indicator works best with sufficient historical data Consider market context and fundamental factors alongside technical signals Backtest thoroughly before implementing in live trading Adjust parameters based on specific asset characteristics and trading timeframe Use in conjunction with other analysis methods for best results --- ⚠️ DISCLAIMER: This indicator is provided for educational and informational purposes only and should not be considered as financial advice, investment advice, trading advice, or any other type of advice. The Universal Valuation indicator is a technical analysis tool that provides statistical information about price movements and market conditions. It does not guarantee profits or predict future market movements with certainty. --- Developed with precision for the TradingView community ~ GForge
Pine Script® indicator
by GForge
1
RSI: alternative derivationMost traders accept the Relative Strength Index (RSI) as a standard tool for measuring momentum. But what if RSI is actually a position indicator? This script introduces an alternative derivation of RSI, offering a fresh perspective on its true nature. Instead of relying on the traditional calculation of average gains and losses, this approach directly considers the price's position relative to its equilibrium (moving average), adjusted for volatility. While the final value remains identical to the standard RSI, this alternative derivation offers a completely new understanding of the indicator. Key components: Price (Close) Utilizes the closing price, consistent with the original RSI formula. normalization factor Transforms raw calculations into a fixed range between -1 and +1. normalization_factor = 1 / (Length - 1) EMA of Price Applies Wilder’s Exponential Moving Average (EMA) to the price, serving as the anchor point for measuring price position, similar to the traditional RSI formula. myEMA = ta.rma(close,Length) EMA of close-to-close absolute changes (unit of volatility) Adjusts for market differences by applying a Wilder’s EMA to absolute price changes (volatility), ensuring consistency across various assets. CC_vol = ta.rma(math.abs(close - close ),Length) Calculation Breakdown DISTANCE: Calculate the difference between the closing price and its Wilder's EMA. A positive value indicates the price is above the EMA; a negative value indicates it is below. distance = close - myEMA STANDARDIZED DISTANCE Divide the distance by the unit of volatility to standardize the measurement across different markets. S_distance = distance / CC_vol NORMALIZED DISTANCE Normalize the standardized distance using the normalization factor (n-1) to adjust for the lookback period. N_distance = S_distance * normalization_factor RSI Finally, scale the normalized distance to fit within the standard RSI range of 0 to 100. myRSI = 50 * (1 + N_distance) The final equation: RSI = 50 × What This Means for RSI Same RSI Values, Different Interpretation The standard RSI formula may obscure its true measurement, whereas this approach offers clarity. RSI primarily indicates the price's position relative to its equilibrium, rather than directly measuring momentum. RSI can still be used to analyze momentum, but in a more intuitive and well-informed way.
Pine Script® indicator
by AdaptiveRSI
Smart TP Manager V.1.0🔹 Smart TP Manager V1.0 is a complete trade management tool for TradingView. It allows you to: Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX. Calculate and display a dynamic Stop Loss based on ATR. Automatically set TP1, TP2, TP3 with Breakeven management (risk set to zero after TP1). Track performance with a statistics table (Win/Loss, BE, win rate, net profit in R). Get a clear visual display of entries, SL, and TP with colored lines and labels. Receive automatic alerts for every signal or target reached. 📊 It’s a risk and trade exit management assistant designed to optimize your trades and secure your profits.
Pine Script® indicator
by sufian97