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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
Indicador Pine Script®
por GForge
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.
Indicador Pine Script®
por 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.
Indicador Pine Script®
por sufian97
Session ORB 15m Synced + Pre-Sessions + MAs (final v3)Session ORB Live Pro — Pre-Market Boxes & MA Suite Description (EN): Session ORB Live Pro is a Pine v6 indicator built for intraday traders who rely on Opening Range Breakouts. It draws session boxes for London, New York, and Asia—plus configurable Pre-London and Pre-New York windows—live from the very first candle (no waiting for 10 bars). The high/low levels update in real time, and optional breakout alerts fire the moment price closes beyond the range. To keep charts clean and relevant for scalping, the boxes auto-hide on chart timeframes above 20 minutes. Beyond ranges, the tool adds a compact moving-average suite: SMA-50 and RMA-200 out of the box, plus three fully customizable MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, thickness, and style (line, stepline, circles). Each session and pre-session can be toggled on/off and tinted with its own color, so you can tailor the visual map of liquidity grabs and range breaks to your strategy. Key features Live ORB boxes for London, New York, Asia (no 10-bar delay). Pre-sessions: Pre-London & Pre-New York with independent time windows and colors. Auto visibility filter: boxes show only on ≤ 20m chart TF; hidden on higher TFs. Breakout alerts when price closes above/below the session range (ready for alert() rules). MA toolkit: SMA-50, RMA-200 + 3 user MAs (SMA/EMA/RMA/WMA/HMA) with color, style, and width. Clean inputs using input.session; robust, low-friction UX. How to use Set your ORB calculation timeframe (e.g., 15m) and choose which sessions/pre-sessions to display. Pick colors for each box and enable alerts if you want instant breakout notifications. Configure the MA suite for trend bias and dynamic S/R (e.g., SMA-50 for momentum, RMA-200 for bias). Trade the first clean break or the retest of the ORB extremes—your choice. The visual map updates tick by tick.
Indicador Pine Script®
por CarlosVillacis82
BTC Momentum Strategy - RSI & Stoch RSI Entry and EMA ExitBTC Momentum Strategy: RSI & Stoch RSI Entry with EMA Exit This strategy is designed to identify potentially strong entry points for Bitcoin (BTC) during periods of shifting momentum and then ride the trend until it shows signs of weakness. It's a straightforward, long-only strategy, meaning it only looks for opportunities to buy and then sell for a profit. How It Works: The strategy combines a few classic indicators to make its decisions. Think of it as a two-step confirmation system for buying, with a simple rule for selling. 1. The Buy Signal (Green Triangle) To generate a buy signal, the strategy looks for two things to happen at the same time: RSI Confirmation: It first waits for the Relative Strength Index (RSI) to show signs of bullish momentum. Specifically, it's looking for the RSI line to cross above its own moving average, suggesting that strength is starting to build from a lower level. This helps catch moves as they begin to turn positive. Stochastic RSI Confirmation: As an extra layer of confirmation, it also checks the Stochastic RSI. This helps filter out weaker signals and confirm that momentum is truly shifting upwards from an oversold or "bottomed-out" condition. When both of these conditions are met, a green "buy" triangle will appear below the candle, and the strategy will enter a long position. 2. The Sell Signal (Red Triangle) The exit rule is simple and designed to let your winners run while protecting you when the trend reverses. * EMA-Based Exit: The strategy plots an orange line on your chart, which is an Exponential Moving Average (EMA). The strategy will hold the position as long as the price stays above this line. If a candle closes *below* the orange EMA line, it's taken as a sign that the short-term trend is weakening, and the strategy will close the position to lock in profits or cut losses. A red "sell" triangle will appear above that candle. Best Use: This strategy was built with Bitcoin in mind and tends to perform best on higher timeframes like the Weekly charts. It aims to capture major swings rather than small, quick scalps. You can adjust all the settings for the RSI, Stochastic RSI, and the Exit EMA to fine-tune the strategy to your own trading style.
Estratégia Pine Script®
por dasacortado
MACD (The Moving Average Convergence Divergence)The Moving Average Convergence Divergence (MACD) is a momentum indicator used in technical analysis to identify trends, measure their strength, and signal potential reversals. It is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA, creating the MACD line. A 9-period EMA of the MACD line, known as the signal line, is then plotted to generate buy or sell signals. Positive MACD values suggest upward momentum, while negative values indicate downward momentum. Traders often watch for crossovers, divergences, and movements relative to the zero line to make informed decisions.
Indicador Pine Script®
por BFAS76
AMHA + 4 EMAs + EMA50/200 Counter + Avg10CrossesDescription: This script combines two types of Heikin-Ashi visualization with multiple Exponential Moving Averages (EMAs) and a counting function for EMA50/200 crossovers. The goal is to make trends more visible, measure recurring market cycles, and provide statistical context without generating trading signals. Logic in Detail: Adaptive Median Heikin-Ashi (AMHA): Instead of the classic Heikin-Ashi calculation, this method uses the median of Open, High, Low, and Close. The result smooths out price movements, emphasizes trend direction, and reduces market noise. Standard Heikin-Ashi Overlay: Classic HA candles are also drawn in the background for comparison and transparency. Both HA types can be shifted below the chart’s price action using a customizable Offset (Ticks) parameter. EMA Structure: Five exponential moving averages (21, 50, 100, 200, 500) are included to highlight different trend horizons. EMA50 and EMA200 are emphasized, as their crossovers are widely monitored as potential trend signals. EMA21 and EMA100 serve as additional structure layers, while EMA500 represents the long-term trend. EMA50/200 Counter: The script counts how many bars have passed since the last EMA50/200 crossover. This makes it easy to see the age of the current trend phase. A colored label above the chart displays the current counter. Average of the Last 10 Crossovers (Avg10Crosses): The script stores the last 10 completed count phases and calculates their average length. This provides historical context and allows traders to compare the current cycle against typical past behavior. Benefits for Analysis: Clearer trend visualization through adaptive Heikin-Ashi calculation. Multi-EMA setup for quick structural assessment. Objective measurement of trend phase duration. Statistical insight from the average cycle length of past EMA50/200 crosses. Flexible visualization through adjustable offset positioning below the price chart. Usage: Add the indicator to your chart. For a clean look, you may switch your chart type to “Line” or hide standard candlesticks. Interpret visual signals: White candles = bullish phases Orange candles = bearish phases EMAs = structural trend filters (e.g., EMA200 as a long-term boundary) The counter label shows the current number of bars since the last cross, while Avg10 represents the historical mean. Special Feature: This script is not a trading system. It does not provide buy/sell recommendations. Instead, it serves as a visual and statistical tool for market structure analysis. The unique combination of Adaptive Median Heikin-Ashi, multi-EMA framework, and EMA50/200 crossover statistics makes it especially useful for trend-followers and swing traders who want to add cycle-length analysis to their toolkit.
Indicador Pine Script®
por Mu10_Roshi
Adaptive Jump Moving AverageAdaptive Jump Moving Average - Description This indicator solves the classic moving average lag problem during significant price moves. Traditional MAs (like the 200-day) take forever to catch up after a major drop or rally because they average across all historical periods equally. How it works: Tracks price smoothly during normal market conditions When price moves 20%+ away from the MA, it immediately "resets" to the current price level Treats that new level as the baseline and continues smooth tracking from there Advantages over normal MA: No lag on major moves: A 40% crash doesn't get diluted over 200 days - the MA instantly adapts Reduces false signals: You won't get late "death cross" signals months after a crash already happened Better support/resistance: The MA stays relevant to current price action instead of reflecting outdated levels Keeps the smoothness: During normal volatility, it behaves like a traditional MA without the noise of shorter periods
Indicador Pine Script®
por gman1023
Price–MA Separation (Z-Score)Price–MA Separation (Z-Score + Shading) This indicator measures how far price is from a chosen moving average and shows it in a separate pane. It helps traders quickly spot overextended moves and mean-reversion opportunities. ⸻ What it does • Calculates the separation between price and a moving average (MA): • In Points (Price − MA) • In Percent ((Price / MA − 1) × 100%) • Converts that separation into a Z-Score (statistical measure of deviation): • Z = (Separation − Mean) ÷ StdDev • Highlights when price is unusually far from the MA relative to its recent history. ⸻ Visuals • Histogram bars: • Green = above the MA, • Orange = below the MA. • Intensity increases with larger Z-Scores. • Zero line: red baseline (price = MA). • Z threshold lines: • +T1 = light red (mild overbought) • +T2 = dark red (strong overbought) • −T1 = light green (mild oversold) • −T2 = dark green (strong oversold) • Default thresholds: ±1 and ±2. ⸻ Settings • MA Type & Length: Choose between SMA, EMA, WMA, VWMA, or SMMA (RMA). • Units: Show separation in Points or Percent. • Plot Mode: • Raw = distance in points/percent. • Z-Score = standardized deviation (default). • Absolute Mode: Show only magnitude (ignore direction). • Smoothing: Overlay a smoothed line on the histogram. • Z-Bands: Visual guides at ± thresholds. ⸻ How to use • Look for large positive Z-Scores (red zones): price may be stretched far above its MA. • Look for large negative Z-Scores (green zones): price may be stretched far below its MA. • Use as a mean-reversion signal or to confirm trend exhaustion. • Works well with: • Swing entries/exits • Overbought/oversold conditions • Filtering other signals (RSI, MACD, VWAP) ⸻ Notes • Z-Scores depend on the lookback window (default = 100 bars). Adjust for shorter/longer memory. • Strong deviations don’t always mean reversal—combine with other tools for confirmation. • Not financial advice. Always manage risk. ⸻ Try adjusting the MA length and Z-Score thresholds to fit your trading style.
Indicador Pine Script®
por Leree123
X Trend dashboard (Lite)X Trend Dashboard The X Trend Dashboard provides an instant snapshot of market sentiment by analyzing the aggregate "pressure" from 11 classic technical indicators. This version features a flexible EMA Fan (Fast, Medium, and Slow EMAs) instead of fixed timeframes, allowing for greater adaptability to any chart. This tool is ideal for quickly assessing current market strength and identifying moments when bulls or bears are in control. The panel also displays the asset's correlation with BTC and ETH for additional market context. Settings Dashboard Settings: Change the panel's appearance and position. Correlation Settings: Configure the BTC and ETH correlation. Indicator Components: Enable or disable any of the indicators, including the three customizable EMAs, to tailor the pressure calculation to your trading style.
Indicador Pine Script®
por Dev0880
3
Dizzy HOLO🚀 Dizzy HOLO is an all-in-one professional trading suite designed for serious traders. It combines Pivot Points, Opening Range Breakout (ORB), HOLO (High of Low / Low of High), Weekly Levels, SMA Thresholds, and Real-Time Alerts into a single lightweight indicator. 🔑 Key Features: ✅ Pivot Points (Fibonacci & Camarilla) – Automatic support & resistance with labels. ✅ Opening Range Breakout (ORB) – Custom session ORB with historical data and breakout alerts. ✅ HOLO Strategy – Daily High/Low, Highest H1 Open, Lowest H1 Close with dynamic buy/sell zones. ✅ Weekly Levels – Previous Week High/Low/Open/Close with extended dotted projections. ✅ SMA Threshold Zones – Dynamic SMA with gray zone filter and trend-based candle coloring. ✅ Multi-Timeframe Analysis – Auto-switching pivots & real-time confirmation. ✅ Smart Alerts – Pivot breakouts, ORB levels, HOLO crosses, and Weekly breaks. 🎯 Why Use Dizzy HOLO? This indicator is built for breakout, reversal, and trend traders. It provides clear market structure, liquidity zones, and actionable alerts so you never miss important setups. 🛠️ Best Suited For: Intraday scalpers Swing traders Breakout traders HOLO strategy followers Multi-timeframe traders
Indicador Pine Script®
por Asimkhaan
EMA CROSS STRATEGY MAXTRA ENTRY LOGIC Long Entry (Buy Signal): Condition: Short EMA crosses above Long EMA (Golden Cross) Interpretation: A potential upward trend is beginning Short Entry (Sell Signal): Condition: Short EMA crosses below Long EMA (Death Cross) Interpretation: A potential downward trend is beginning EXIT LOGIC There are a few options depending on the style of strategy: Option 1: Opposite Crossover Exit Long: When Short EMA crosses below Long EMA Exit Short: When Short EMA crosses above Long EMA This method keeps you in the trade until the trend reverses. Option 2: Fixed Stop Loss / Take Profit Exit trade when a profit target or stop loss is hit Example: 2% stop loss and 4% take profit Note : In Properties, go to Initial Margin. Add one more zero to get the backtest results for futures trades. For spot, use it as it is.
Estratégia Pine Script®
por way2algotrade
MA Divergence中文介绍： 均线背离指标是一款用于分析价格与均线（如EMA或SMA）之间的背离情况的技术分析工具。该指标结合了标准差、波动性分析和背离信号的检测，旨在帮助交易者识别市场中的潜在反转信号。 主要功能： 背离检测： 该指标根据价格与指定均线（EMA或SMA）之间的乖离（百分比差异），绘制背离柱状图，便于快速识别背离信号。 标准差与阈值： 根据过去一段时间内的历史数据，自动计算标准差并设置动态阈值，用以判断价格背离的异常程度。当背离信号超出设定的阈值时，柱状图将标记为蓝色，突出显示潜在的反转信号。 警报功能： 为用户提供警报设置，当背离信号突破上阈值或下阈值时，能够及时提醒交易者，帮助做出决策。 适用对象： 短期交易者： 用于快速捕捉反转信号，帮助制定更具针对性的交易策略。 中长期交易者： 通过背离与均线的结合，帮助识别趋势的潜在转折点。 技术分析爱好者： 提供了一种新的背离分析视角，帮助用户理解市场行为。 英文介绍： The Moving Average Divergence (MA Divergence) Indicator is a technical analysis tool designed to analyze the divergence between price and a moving average (such as EMA or SMA). The indicator combines standard deviation, volatility analysis, and divergence signal detection to help traders identify potential reversal signals in the market. Key Features: Divergence Detection: The indicator plots divergence histograms based on the percentage difference between price and the selected moving average (EMA or SMA), making it easy to spot divergence signals at a glance. Standard Deviation & Thresholds: The indicator automatically calculates the standard deviation based on historical data over a specified period and sets dynamic thresholds to assess the abnormality of price divergence. When the divergence signal exceeds the set thresholds, the histogram is highlighted in blue, emphasizing potential reversal signals. Alert Functionality: The indicator includes alert conditions, allowing users to receive notifications when the divergence breaks above or below a defined threshold, helping traders take timely actions. Target Audience: Short-term traders: Designed for quick identification of reversal signals to formulate more targeted trading strategies. Mid-to-long-term traders: Helps to identify potential trend reversal points by combining divergence with moving averages. Technical analysis enthusiasts: Provides a new perspective on divergence analysis, helping users better understand market behavior. 总结： 无论是短期的交易决策，还是长期的市场趋势判断，“均线背离”指标都能为交易者提供强大的支持。通过标准差、波动性分析、警报提醒等功能，帮助用户实时捕捉市场中的背离信号，并快速做出反应。
Indicador Pine Script®
por jlysqs
Multi-Timeframe mybullandbearThis Multi-Timeframe RSI + Ultimate MA System combines RSI and customizable moving averages (SMA, EMA, WMA, HullMA, VWMA, RMA, TEMA) to generate powerful buy/sell signals across 5m, 15m, 1h, and 4h timeframes. Visualize signals with clear chart labels (BUY/SELL) and a multi-timeframe table showing RSI status, MA trends, and signal strength. Ideal for traders seeking trend confirmation and reversal signals. Enable/disable RSI, MA cross, or combined signals, and adjust MA types/lengths. Use aligned signals across timeframes for stronger entries. Best with backtesting for your asset.
Indicador Pine Script®
por mybullandbear
Double Moving Average█  OVERVIEW The Double Moving Average (DMA) smooths one moving average with a second moving average. Includes moving average type, higher timeframe, offset, alerts, and style settings for all of the indicator's visual components. This indicator includes an optional line and label to indicate the latest value of the DMA that repaints. █  CONCEPTS Shorter term moving averages, especially in choppy markets, can rapidly increase and decrease their slope. Which could lead some traders into assuming that the series trend may continue at that steeper slope. By smoothing a moving average with another one, the magnitude of rapid choppy movements is mitigated. █  FEATURES DMA Customization Most inputs have a tooltip that can be read by interacting with the information icon to guide users. For both moving averages in the DMA, users can set the lookback length and moving average type independently. Available moving average types include: Simple Moving Average Exponential Moving Average Hull Moving Average Weighted Moving Average Volume Weighted Moving Average A bar offset setting is included for shifting the indicator's placement. Using different lookback combinations for both averages alongside an offset can create equivalent values of other types of moving averages not included in this indicator. For example, if the default lookback settings are offset by 1 bar, this duplicates a 4 period centered moving average. Colors for the DMA's plot can toggle between a single "base" color, or using increasing and decreasing colors. Changing the plot's style, line style, and width is also supported. Latest Value Line and Label The latest value of the DMA plot is replaced by default with a feature called the Latest Value Line and Label: a stylized line and label to help indicate the part of the indicator that can repaint from the parts that don't repaint. Data used to draw this feature is calculated separately from the indicator's confirmed historical calculations. A label is included to display the latest value of the DMA which includes complete style settings. The style of both the line and label are completely customizable; every style feature that can be included has a corresponding input you can set. Toggling off the Latest Value Line and Label feature will cause all the respective style inputs to deactivate so that they're no longer in focus or editable until the feature is toggled on again. Higher Timeframes Users can plot the DMA from higher timeframes on their chart. As new bars print, the non-repainting DMA historical plot uses the last confirmed higher timeframe value. The repainting Latest Value Line and Label will update with the most recent higher timeframe value only for the latest bar. If the Latest Value Line feature is toggled off, the last confirmed higher timeframe DMA value is plotted up to the latest bar. The built-in Moving Average Simple (SMA) indicator includes several of the features in this indicator, like an option for using higher timeframe. However, by default, it plots no values except on bars with higher timeframe close updates. Disabling "Wait for timeframe closes" to get values between updates causes repainting in both replay mode and realtime bars. Since the calculations that repaint are separate and optional in the DMA indicator, historical plotted values will not repaint in replay mode or on realtime bars while using higher timeframes. Alerts There are two DMA value options when creating an alert: DMA Latest Value: Use the latest updating DMA Value. The same value as the Latest Value Line. DMA Last Confirmed Value: Use the last historical closed DMA value. The default alert option is DMA Latest because most users expect alerts when the price crosses the latest updating DMA value. The Last Confirmed Value alert option uses the DMA value from the latest confirmed historical bar. When creating an alert you should see a "Caution!" warning saying, "This is due to calculations being based on an indicator or strategy that can get repainted." This warning is intentional because the DMA indicator's Latest Value Line and Label feature is supposed to repaint in order to display the latest value. █  FOR Pine Script™ CODERS StyleLibrary is used to create user-friendly plot, line, and label style enum type inputs. The library's functions then take those user inputs and convert them into the appropriate values/built-in constants to customize styles for plot, line, and label functions. Titles for #region blocks are included after #endregion statements for clarity when multiple #endregion statements occur. This indicator utilizes the new active parameter for style inputs of togglable features.
Indicador Pine Script®
por joebaus