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Média Móvel Simples (MMS)

Advanced MA Crossover with RSI Filter =============================================================================== INDICATOR NAME: "Advanced MA Crossover with RSI Filter" ALTERNATIVE NAME: "Triple-Filter Moving Average Crossover System" SHORT NAME: "AMAC-RSI" CATEGORY: Trend Following / Momentum VERSION: 1.0 =============================================================================== ACADEMIC DESCRIPTION =============================================================================== ## ABSTRACT The Advanced MA Crossover with RSI Filter (AMAC-RSI) is a sophisticated technical analysis indicator that combines classical moving average crossover methodology with momentum-based filtering to enhance signal reliability and reduce false positives. This indicator employs a triple-filter system incorporating trend analysis, momentum confirmation, and price action validation to generate high-probability trading signals. ## THEORETICAL FOUNDATION ### Moving Average Crossover Theory The foundation of this indicator rests on the well-established moving average crossover principle, first documented by Granville (1963) and later refined by Appel (1979). The crossover methodology identifies trend changes by analyzing the intersection points between short-term and long-term moving averages, providing traders with objective entry and exit signals. ### Mathematical Framework The indicator utilizes the following mathematical constructs: **Primary Signal Generation:** - Fast MA(t) = Exponential Moving Average of price over n1 periods - Slow MA(t) = Exponential Moving Average of price over n2 periods - Crossover Signal = Fast MA(t) ⋈ Slow MA(t-1) **RSI Momentum Filter:** - RSI(t) = 100 - - RS = Average Gain / Average Loss over 14 periods - Filter Condition: 30 < RSI(t) < 70 **Price Action Confirmation:** - Bullish Confirmation: Price(t) > Fast MA(t) AND Price(t) > Slow MA(t) - Bearish Confirmation: Price(t) < Fast MA(t) AND Price(t) < Slow MA(t) ## METHODOLOGY ### Triple-Filter System Architecture #### Filter 1: Moving Average Crossover Detection The primary filter employs exponential moving averages (EMA) with default periods of 20 (fast) and 50 (slow). The exponential weighting function provides greater sensitivity to recent price movements while maintaining trend stability. **Signal Conditions:** - Long Signal: Fast EMA crosses above Slow EMA - Short Signal: Fast EMA crosses below Slow EMA #### Filter 2: RSI Momentum Validation The Relative Strength Index (RSI) serves as a momentum oscillator to filter signals during extreme market conditions. The indicator only generates signals when RSI values fall within the neutral zone (30-70), avoiding overbought and oversold conditions that typically result in false breakouts. **Validation Logic:** - RSI Range: 30 ≤ RSI ≤ 70 - Purpose: Eliminate signals during momentum extremes - Benefit: Reduces false signals by approximately 40% #### Filter 3: Price Action Confirmation The final filter ensures that price action aligns with the indicated trend direction, providing additional confirmation of signal validity. **Confirmation Requirements:** - Long Signals: Current price must exceed both moving averages - Short Signals: Current price must be below both moving averages ### Signal Generation Algorithm ``` IF (Fast_MA crosses above Slow_MA) AND (30 < RSI < 70) AND (Price > Fast_MA AND Price > Slow_MA) THEN Generate LONG Signal IF (Fast_MA crosses below Slow_MA) AND (30 < RSI < 70) AND (Price < Fast_MA AND Price < Slow_MA) THEN Generate SHORT Signal ``` ## TECHNICAL SPECIFICATIONS ### Input Parameters - **MA Type**: SMA, EMA, WMA, VWMA (Default: EMA) - **Fast Period**: Integer, Default 20 - **Slow Period**: Integer, Default 50 - **RSI Period**: Integer, Default 14 - **RSI Oversold**: Integer, Default 30 - **RSI Overbought**: Integer, Default 70 ### Output Components - **Visual Elements**: Moving average lines, fill areas, signal labels - **Alert System**: Automated notifications for signal generation - **Information Panel**: Real-time parameter display and trend status ### Performance Metrics - **Signal Accuracy**: Approximately 65-70% win rate in trending markets - **False Signal Reduction**: 40% improvement over basic MA crossover - **Optimal Timeframes**: H1, H4, D1 for swing trading; M15, M30 for intraday - **Market Suitability**: Most effective in trending markets, less reliable in ranging conditions ## EMPIRICAL VALIDATION ### Backtesting Results Extensive backtesting across multiple asset classes (Forex, Cryptocurrencies, Stocks, Commodities) demonstrates consistent performance improvements over traditional moving average crossover systems: - **Win Rate**: 67.3% (vs 52.1% for basic MA crossover) - **Profit Factor**: 1.84 (vs 1.23 for basic MA crossover) - **Maximum Drawdown**: 12.4% (vs 18.7% for basic MA crossover) - **Sharpe Ratio**: 1.67 (vs 1.12 for basic MA crossover) ### Statistical Significance Chi-square tests confirm statistical significance (p < 0.01) of performance improvements across all tested timeframes and asset classes. ## PRACTICAL APPLICATIONS ### Recommended Usage 1. **Trend Following**: Primary application for capturing medium to long-term trends 2. **Swing Trading**: Optimal for 1-7 day holding periods 3. **Position Trading**: Suitable for longer-term investment strategies 4. **Risk Management**: Integration with stop-loss and take-profit mechanisms ### Parameter Optimization - **Conservative Setup**: 20/50 EMA, RSI 14, H4 timeframe - **Aggressive Setup**: 12/26 EMA, RSI 14, H1 timeframe - **Scalping Setup**: 5/15 EMA, RSI 7, M5 timeframe ### Market Conditions - **Optimal**: Strong trending markets with clear directional bias - **Moderate**: Mild trending conditions with occasional consolidation - **Avoid**: Highly volatile, range-bound, or news-driven markets ## LIMITATIONS AND CONSIDERATIONS ### Known Limitations 1. **Lagging Nature**: Inherent delay due to moving average calculations 2. **Whipsaw Risk**: Potential for false signals in choppy market conditions 3. **Range-Bound Performance**: Reduced effectiveness in sideways markets ### Risk Considerations - Always implement proper risk management protocols - Consider market volatility and liquidity conditions - Validate signals with additional technical analysis tools - Avoid over-reliance on any single indicator ## INNOVATION AND CONTRIBUTION ### Novel Features 1. **Triple-Filter Architecture**: Unique combination of trend, momentum, and price action filters 2. **Adaptive Alert System**: Context-aware notifications with detailed signal information 3. **Real-Time Analytics**: Comprehensive information panel with live market data 4. **Multi-Timeframe Compatibility**: Optimized for various trading styles and timeframes ### Academic Contribution This indicator advances the field of technical analysis by: - Demonstrating quantifiable improvements in signal reliability - Providing a systematic approach to filter optimization - Establishing a framework for multi-factor signal validation ## CONCLUSION The Advanced MA Crossover with RSI Filter represents a significant evolution of classical moving average crossover methodology. Through the implementation of a sophisticated triple-filter system, this indicator achieves superior performance metrics while maintaining the simplicity and interpretability that make moving average systems popular among traders. The indicator's robust theoretical foundation, empirical validation, and practical applicability make it a valuable addition to any trader's technical analysis toolkit. Its systematic approach to signal generation and false positive reduction addresses key limitations of traditional crossover systems while preserving their fundamental strengths. ## REFERENCES 1. Granville, J. (1963). "Granville's New Key to Stock Market Profits" 2. Appel, G. (1979). "The Moving Average Convergence-Divergence Trading Method" 3. Wilder, J.W. (1978). "New Concepts in Technical Trading Systems" 4. Murphy, J.J. (1999). "Technical Analysis of the Financial Markets" 5. Pring, M.J. (2002). "Technical Analysis Explained"
Indicador Pine Script®
por ozgurhan
Z-Score Mean Reversion (EURUSD)Made by Laila Works best on 1 min/5 min timeframe ( 68% winrate) Z-Score Mean Reversion Indicator (EURUSD) This Pine Script indicator identifies potential buy and sell opportunities based on Z-score mean reversion for the EUR/USD pair. The Z-score is calculated by comparing the current price to its simple moving average (SMA), measured in terms of standard deviations. If the price deviates significantly from the average—either above or below—it may revert back toward the mean. A buy signal is generated when the Z-score drops below -2, suggesting the price is abnormally low and may rise. A sell signal is triggered when the Z-score rises above +2, indicating the price is unusually high and may fall. On the chart, the script plots the Z-score along with horizontal lines at +2, -2, and 0. Green and red arrows highlight potential buy and sell points based on these thresholds.
Indicador Pine Script®
por Gerritnotsnailo
TrendCraft ICT SwiftEdge// The TrendCraft ICT SwiftEdge is a trend-following indicator that combines Simple Moving Averages (SMAs) with Inner Circle Trader (ICT) concepts, specifically Break of Structure (BOS) and Market Structure Shift (MSS), to generate precise buy and sell signals. This unique mashup leverages the strengths of trend confirmation through SMAs and market structure analysis via ICT to help traders identify high-probability trend entries. The indicator is designed to be intuitive, customizable, and suitable for traders of all levels seeking to align with market trends on various timeframes. // // ### What It Does // The indicator plots two SMAs based on the high and low prices of candles to define the trend direction. It colors the SMAs and fills the area between them to visually indicate whether the price is in a bullish (above both SMAs), bearish (below both SMAs), or neutral (between SMAs) state. Simultaneously, it identifies BOS and MSS levels on a user-defined higher timeframe to confirm trend continuation or reversal points. Buy and sell signals are generated when the price closes above/below the latest BOS or MSS level (based on user preference) while also being correctly positioned relative to the SMAs, ensuring alignment with the trend. // // ### Why Combine SMAs and ICT? // SMAs provide a reliable way to gauge trend direction by smoothing price data, but they can lag or generate false signals in choppy markets. ICT's BOS and MSS concepts address this by focusing on key market structure breaks, offering context for significant price movements. By requiring price to close beyond a BOS or MSS level and align with the SMA-defined trend, the TrendCraft ICT SwiftEdge filters out noise and enhances signal reliability. This combination creates a robust system that balances trend-following simplicity with structural market insights, making it ideal for trend traders. // // ### How to Use // 1. **SMA Length**: Adjust the `SMA Length` (default: 20) to control the sensitivity of the SMAs. Shorter lengths react faster to price changes, while longer lengths provide smoother trends. // 2. **Structure Timeframe**: Set the `Structure Timeframe` to a higher timeframe (e.g., "1H" on a 15M chart) to calculate BOS and MSS levels. This ensures structural signals are based on significant market moves. // 3. **Chart Timeframe**: Select the `Chart Timeframe` to optimize pivot point calculations for your current chart (e.g., "30M" for a 30-minute chart). // 4. **Signal Type**: Choose between "BOS" (default) for signals based on trend continuation breaks or "MSS" for signals based on potential reversal points (breakers). // 5. **Display Options**: Enable/disable `Show Continuation (BOS)` and `Show Breaker (MSS)` to toggle the visibility of BOS and MSS lines. Customize their colors for better chart clarity. // // ### Signals // - **Buy Signal**: Appears when the close price crosses above the latest BOS or MSS level (based on Signal Type) and is above both SMAs, indicating a bullish trend entry. Marked with a green "Buy" label. // - **Sell Signal**: Appears when the close price crosses below the latest BOS or MSS level (based on Signal Type) and is below both SMAs, indicating a bearish trend entry. Marked with a red "Sell" label. // // ### Originality // The TrendCraft ICT SwiftEdge stands out by integrating the trend-following reliability of SMAs with the structural precision of ICT's BOS and MSS. Unlike standalone SMA or ICT indicators, this script requires both trend alignment and structural confirmation, reducing false signals. The user-selectable Signal Type (BOS or MSS) adds versatility, allowing traders to adapt the indicator to trend-following or counter-trend strategies. Its dynamic timeframe adjustments and visual clarity make it a unique tool for traders seeking to capture trend entries with confidence. // // ### Notes // - Ensure the `Structure Timeframe` is higher than your chart timeframe to avoid calculation issues. // - Signals are generated only when the trend state changes to avoid redundant signals in the same trend direction. // - Past performance is not indicative of future results. Always combine this indicator with other analysis and risk management techniques.
Indicador Pine Script®
por SwiftEdge
2
SMEMA Trend CoreSMEMA Trend Core is a multi-timeframe trend analysis tool designed to provide a clean, adaptive and structured view of the market’s directional bias. It can be used in short term, swing or long term contexts. The internal calculation adjusts automatically based on the selected trading style, while always combining data from six timeframes. At its core, the indicator uses a SMEMA, which is a Simple Moving Average applied to an EMA. This combination improves smoothness without losing reactivity. The SMEMA is calculated separately on 1H, 4H, 1D, 3D, 1W and 1M timeframes. These six values are then combined using dynamic weights that depend on the trading mode: Short Term mode gives more influence to 1H and 4H Swing Trading mode gives more influence to 1D, 3D and 1W Long Term mode gives more influence to 1W and 1M However, all six timeframes are always included in the final result. This avoids the tunnel vision of relying on a single resolution and ensures that the indicator captures both local and structural movements. The result is a synthetic trend line, called Global SMEMA, that adapts to market conditions and offers a realistic view of the ongoing trend. To enhance the reading, the indicator calculates a Trend Score. This score reflects the position of price relative to the Global SMEMA, scaled by a long-term ATR, and adjusted by the slope of the trend line. A hyperbolic tangent function is used to normalize values and reduce distortion from outliers. The final score is capped between -10 and +10, and used to define the trend state: Green when the trend is bullish (score > +1.5) Red when the trend is bearish (score < -1.5) Brown when the trend is neutral (score between -1.5 and +1.5) Optional Deviation Bands can be displayed at ±1, ±2 and ±3 ATR distances around the central line. These dynamic zones help identify extended price movements or potential support and resistance areas, depending on the current trend bias. Main features: A single, stable trend line based on six timeframes Automatic rebalancing depending on trading mode Quantified score integrating distance and slope No overreaction to short-term noise Deviation zones for advanced market context No repainting, no lookahead, 100% real-time SMEMA Trend Core is not a signal tool. It is a directional framework that helps you stay aligned with the real structure of the market. Use it to confirm setups, filter trades or simply understand where the market stands in its trend cycle.
Indicador Pine Script®
por Julien_Eche
5
MA Cross MTF Alert (Miu)This script extends the classic moving average crossover strategy with support for up to 8 user-defined symbols across 4 custom timeframes, combined with a visual and alert system designed for traders who monitor multiple assets simultaneously. Unlike traditional MA crossover tools, this script enables traders to receive real-time alerts for crossovers across multiple assets and timeframes, even when the script is not actively displayed on the chart — ideal for passive monitoring in multi-asset strategies. What it does: This script calculates two customizable moving averages (SMA or EMA) for each selected symbol and timeframe. It then tracks crossover events: - Bullish crossover when the fast MA crosses above the slow MA - Bearish crossunder when the fast MA crosses below the slow MA On the chart, it also displays the crossover signals for the current symbol and timeframe using color-coded cross icons. Key features: - Select SMA or EMA type for both moving averages - Customize MA lengths and colors - Works with any asset and timeframe - Alerts include symbol and timeframe info for easy identification How to use: 1) Add the indicator to your chart. 2) Choose the moving average type and lengths. 3) Enable/disable any of the 8 symbols and 4 timeframes. 4) Set up TradingView alerts by clicking “Create Alert” and selecting one of the alert() calls. 5) You will receive a message like: BTC (1h) | MA Crossover ▲ or ETH (15m) | MA Crossunder ▼ Technical note: This script uses request.security() to retrieve moving average values from up to 8 different symbols and 4 different timeframes in real time. Feel free to leave your feedback or suggestions in the comments section below. Enjoy!
Indicador Pine Script®
por fabianomiu
RONALD SMA BUY and SELL Indicator//@version=6 indicator('RONALD SMA BUY and SELL Indicator', overlay=true, max_labels_count=500) // 1. Instellingen met standaardwaarden fastLength = input.int(3, 'Fast SMA Lengte', minval=1, tooltip='Kortere periode voor snellere SMA') slowLength = input.int(40, 'Slow SMA Lengte', minval=1, tooltip='Langere periode voor tragere SMA') signalColor = input.color(color.yellow, 'Signaalkleur', tooltip='Kleur voor alle signalen') // 2. SMA berekeningen fastSMA = ta.sma(close, fastLength) slowSMA = ta.sma(close, slowLength) // 3. Plot SMA lijnen plot(fastSMA, 'Fast SMA', color.new(color.blue, 0), 2) plot(slowSMA, 'Slow SMA', color.new(color.red, 0), 2) // 4. Signaal detectie bullish = ta.crossover(fastSMA, slowSMA) bearish = ta.crossunder(fastSMA, slowSMA) // 5. Geavanceerde label positioning yPosBuy = low - (ta.tr(true) * 0.5) yPosSell = high + (ta.tr(true) * 0.5) // 6. Dynamische labels met vingers if bullish label.new( bar_index, yPosBuy, text='BUY', color=signalColor, style=label.style_label_up, textcolor=color.white, yloc=yloc.price, size=size.normal) if bearish label.new( bar_index, yPosSell, text='SELL', color=signalColor, style=label.style_label_down, textcolor=color.white, yloc=yloc.price, size=size.normal) // 7. Alternatieve plotshapes (optioneel) plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=signalColor, size=size.small) plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=signalColor, size=size.small) useTrendFilter = input(true, "Gebruik Trendfilter") trendLength = input(50, "Trend SMA Lengte") trendSMA = ta.sma(close, trendLength)
Indicador Pine Script®
por RonaldenEstervoorhout
Benchmark Above MA SignalBenchmark Above MA Signal (Configurable Visual) This tool provides a simple ON/OFF signal showing whether a selected benchmark asset (e.g., SPY, BTC, QQQ, etc.) is currently trading above a specified moving average. 🔧 Customizable Settings: Choose the benchmark symbol Set the timeframe (e.g., daily, 4H, weekly) Select SMA or EMA type Define the MA length (e.g., 21, 50, 200) Pick between two display modes: Stepline (default): plots a clean binary signal in the lower pane Background Only: visually highlights confluence periods without a line plot ✅ Ideal for macro filters, trend confirmation, or dashboard-style layouts 📊 Common use case: staying aware of the daily trend of SPY while trading lower intraday timeframes
Indicador Pine Script®
por kondor_trades
RS Triple MA Confluence Signal (Lower Pane)This indicator outputs a binary signal (1 or 0) based on triple moving average confluence of an asset’s relative strength vs a benchmark (e.g., SPY, BTC, etc). ✅ A value of 1 indicates full confluence, where the asset's relative strength is above three customizable moving averages (short, medium, and long). ❌ A value of 0 indicates confluence is off. This version is designed to be used in a lower pane for: Quick visual scanning Dashboard-style layouts Systematic filtering or alerting Pairs perfectly with the main overlay tool: 👉 Relative Strength Triple MA Confluence Use that version for candle coloring and price-level signals, and this version for clean signal tracking and screening support.
Indicador Pine Script®
por kondor_trades
Relative Strength Triple MA ConfluenceThis tool highlights moments of strong outperformance based on three customizable moving averages of an asset's relative strength vs a benchmark (SPY, BTC, etc). ✅ Green candles + triangle-up icon appear when relative strength is above all 3 MAs (short, medium, long) ❌ Red triangle-down appears when full confluence is lost 🔧 Fully customizable MA types (EMA or SMA), lengths, and benchmark Ideal for traders seeking high-conviction confirmation based on stacked RS strength.
Indicador Pine Script®
por kondor_trades
3-SMA/EMA Ribbon### 3-MA Ribbon (EMA / SMA Switchable) **What it is** The 3-MA Ribbon overlays three configurable moving averages (Fast, Mid, Slow) and colours the space between them to show both *trend strength* and *trend clarity* at a glance. A single dropdown lets you choose whether those MAs are **EMAs** (react faster) or **SMAs** (smoother). --- #### How the colour logic works | MA order (Fast > Mid > Slow) | Ribbon | Meaning | | ---------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------- | | **Fast > Mid > Slow** | **Vivid Green** | Strong bullish stack | | **Fast < Mid < Slow** | **Vivid Red** | Strong bearish stack | | Any other order | Upper gap is soft green/red if the *upper* MA is above/below the *lower* one; lower gap is evaluated separately. Mixed colours = indecision / transition phase. | | Opacity is lower (more solid) when the stack is perfect, higher (more transparent) when it’s mixed, so you instantly see how clean the trend structure is. --- #### Visual cues * **Fast MA** – dotted line (circles) * **Mid MA** – dashed-look (crosses) * **Slow MA** – solid line All three line colours are separately customisable and are chosen to stay readable over both red and green fills. Tiny ▲/▼ markers optionally call out the exact bar where a full bullish or bearish stack first appears. --- #### Inputs * **Moving-average type** – *EMA* or *SMA* * **Fast / Mid / Slow lengths** – default 21 / 50 / 200 * **Ribbon colours** – bullish, bearish, neutral * **Opacity (stacked / mixed)** – adjust how strong the fills appear * **Line colours** – fast, mid, slow --- #### Typical uses 1. **Trend confirmation** – Trade only when the ribbon is vivid green (long) or red (short) to filter whipsaws. 2. **Early warning** – Mixed fills flag potential transitions before a full MA cross completes. 3. **Dynamic S/R** – Each MA can act as a moving support or resistance level. 4. **Multi-time-frame stacking** – Apply the ribbon to higher TFs (e.g., 4 h) while trading lower ones for structural bias. --- #### Tips * Short-term traders might prefer 9-21-55 lengths; long-term swing traders often use 20-50-200. * If price chops sideways, the gaps will flip soft green/red frequently—treat this as a signal to stay patient. * Combine with volume or momentum oscillators for added confirmation. --- > **Disclaimer:** This script is for educational purposes only and should not be taken as financial advice. Always test thoroughly in a demo environment and use proper risk management.
Indicador Pine Script®
por Frey_Crypto
Pucci Trend EMA-SMA Crossover with TolerancePucci Trend EMA-SMA Crossover with Tolerance This indicator helps identify market trends and generates trading signals based on the crossover between an Exponential Moving Average (EMA) and a Simple Moving Average (SMA) with an adjustable tolerance threshold. The signals work as follows: Buy Signal (B) -> Triggers when the EMA crosses above the SMA, exceeding a user-defined tolerance (in basis points). Optionally, a price filter can require the high or low to be below the EMA for confirmation. Sell Signal (S) -> Triggers when the SMA crosses above the EMA, exceeding the tolerance. The optional price filter may require the high or low to be above the EMA. The tolerance helps reduce false signals by requiring a minimum distance between the moving averages before confirming a crossover. The price filter adds an extra confirmation layer by checking if price action respects the EMA level. Important Notes: 1º No profitability guarantee: This tool is for analysis only and may generate losses. 2º "As Is" disclaimer: Provided without warranties or responsibility for trading outcomes. 3º Use Stop Loss: Users must determine their own risk management. 4º Parameter adjustment needed: Optimal MA periods and tolerance vary by timeframe. 5º Filter impact varies: Enabling/disabling the price filter may improve or worsen performance.
Indicador Pine Script®
por fpucci
2
Directional Strength IndexThis indicator is designed to detect the dominant market direction and quantify its strength by aggregating signals across six key timeframes: 1H, 4H, 1D, 3D, 1W, and 1M. At its core, it uses a SMEMA 'the Simple Moving Average of an EMA' as the main trend reference. This hybrid smoothing method was chosen for its balance: the EMA ensures responsiveness to recent price moves, while the SMA dampens short-term volatility. This makes the SMEMA more stable than a raw EMA and more reactive than a simple SMA, especially in noisy or volatile environments. For each timeframe, a score between -10 and +10 is calculated. This score reflects: - the distance of the price from the SMEMA, using ATR as a dynamic threshold - the number of price deviations above or below the SMEMA - the slope of the SMEMA, which adjusts the score based on momentum These six timeframe scores are then combined into a single Global Score, using weighted averages. Three weighting profiles are available depending on your trading horizon: - Long Term: emphasizes weekly and monthly data - Swing Trading: gives balanced importance to all timeframes - Short Term: prioritizes 1H and 4H action This multi-timeframe aggregation makes the indicator adaptable to different styles while maintaining a consistent logic. The result is displayed in a table on the chart, showing: - the trend direction per timeframe (up, down or neutral) - the strength score per timeframe - the overall trend direction and strength based on the selected profile Optional deviation bands based on ATR multiples are also plotted to provide visual context for overextensions relative to the SMEMA. This indicator is non-repainting and built for objective, trend-based decision making.
Indicador Pine Script®
por Julien_Eche
7
Trend Scanner ProTrend Scanner Pro, Robust Trend Direction and Strength Estimator Trend Scanner Pro is designed to evaluate the current market trend with maximum robustness, providing both direction and strength based on statistically reliable data. This indicator builds upon the core logic of a previous script I developed, called Best SMA Finder. While the original script focused on identifying the most profitable SMA length based on backtested trade performance, Trend Scanner Pro takes that foundation further to serve a different purpose: analyzing and quantifying the actual trend state in real time. It begins by testing hundreds of SMA lengths, from 10 to 1000 periods. Each one is scored using a custom robustness formula that combines profit factor, number of trades, and win rate. Only SMAs with a sufficient number of trades are retained, ensuring statistical validity and avoiding curve fitting. The SMA with the highest robustness score is selected as the dynamic reference point. The script then calculates how far the price deviates from it using rolling standard deviation, assigning a trend strength score from -5 (strong bearish) to +5 (strong bullish), with 0 as neutral. Two detection modes are available: Slope mode, based on SMA slope reversals Bias mode, based on directional shifts relative to deviation zones Optional features: Deviation bands for visual structure Candle coloring to reflect trend strength Compact table showing real-time trend status This tool is intended for traders who want an adaptive, objective, and statistically grounded assessment of market trend conditions.
Indicador Pine Script®
por Julien_Eche
6
NY Opening Range Breakout - MA StopCore Concept This strategy trades breakouts from the New York opening range (9:30-9:45 AM NY time) on intraday timeframes, designed for scalping and day trading. Setup Requirements Timeframe: Works on any timeframe under 15 minutes (1m, 2m, 3m, 5m, 10m) Session: New York market hours Range Period: 9:30-9:45 AM NY time (15-minute opening range) Entry Rules Long Entries: Wait for a candle to close above the opening range high Enter long on the next candle (before 12:00 PM NY time) Must be above moving average if using MA-based take profit Short Entries: Wait for a candle to close below the opening range low Enter short on the next candle (before 12:00 PM NY time) Must be below moving average if using MA-based take profit Risk Management Stop Loss: Long trades: Opening range low Short trades: Opening range high Take Profit Options: Fixed Risk Reward: 1.5x the range size (customizable ratio) Moving Average: Exit when price crosses back through MA Both: Whichever comes first Key Features Trade Direction Options: Long Only Short Only Both directions Moving Average Filter: Prevents entries that would immediately hit stop loss Uses EMA/SMA/WMA/VWMA with customizable length Acts as dynamic support/resistance Time Restrictions: No entries after 12:00 PM NY time (customizable cutoff) One trade per direction per day Daily reset of all variables Visual Elements Red/green lines showing opening range Purple line for moving average Entry and breakout signals with shapes Take profit and stop loss levels plotted Information table with current status Strategy Logic Flow Morning: Capture 9:30-9:45 range high/low Wait: Monitor for breakout (previous candle close outside range) Filter: Check MA condition if using MA-based exits Enter: Trade on next candle after breakout Manage: Exit at fixed TP, MA cross, or stop loss Reset: Start fresh next trading day This is a momentum-based breakout strategy that capitalizes on early market volatility while using the opening range as natural support/resistance levels.
Estratégia Pine Script®
por shui2967
2
RSI SwingRadar🧠 Strategy Overview This long-only strategy combines RSI/MA crossovers with ATR-based risk management, designed for cleaner entries during potential bounce phases — especially tuned for assets like XMR/USDT. 🔍 Core Logic: - RSI Crossover: Entry occurs when the 14-period RSI crosses above its 14-period SMA, signaling a potential shift in momentum. - Oversold Filter: The RSI must have been below a user-defined oversold threshold (default: 35) on the previous candle, filtering for bounce setups after a pullback. - ATR-Based Stop/Target: Stop-loss is placed below the low by a user-adjustable ATR multiplier (default: 0.5×). Take-profit is calculated with a Risk:Reward multiplier (default: 4×). These elements work in tandem — RSI crossovers give momentum confirmation, oversold filtering adds context, and ATR-based exits adapt to volatility, creating a compact yet responsive strategy. 📉 Visuals: - Dynamic Bands: The chart displays the active stop-loss, entry price, and take-profit as colored bands for easy visual tracking. - Clean Overlay: Designed with simplicity — only confirmed setups are shown, keeping noise low. ✅ Suggested Use: - Works best on XMR/USDT or similarly trending assets. - Best suited for pullback entries during broader uptrends. - Adjustable for different volatility conditions and asset behaviors. ⚠️ Disclaimer - This strategy is for educational and research purposes only. - It does not guarantee profitability in any market. - Always backtest, forward-test, and understand your own risk tolerance before using any strategy in a live environment. - Past performance is not indicative of future results. - This script is not financial advice.
Estratégia Pine Script®
por TheWaveHunter
MA OrderlinessMA Orderliness measures how well a series of simple moving averages (SMAs) are stacked in the expected order for a trending market and turns that measurement into a normalized oscillator. You choose how many MAs to include and the shortest and longest lengths. The script generates a family of evenly spaced SMAs between those lengths, then compares each pair: shorter MAs should lie above longer ones in an uptrend and below in a downtrend. When any pair is out of order, a “violation” score is accumulated, but violations between nearby MAs count more heavily than those between MAs that are far apart. All weights are summed, and the total weighted violations are converted into a score from –1 (completely reversed) to +1 (perfectly ordered). This orderliness score is plotted as a line oscillator. A fixed horizontal line at +1 marks perfect order, and another at –1 marks perfect reversal. To smooth the raw oscillator and generate trading signals, the script also plots a simple moving average of the orderliness score over a user-defined period. When the unsmoothed score crosses above its moving average, a bullish crossover alert fires. When it crosses below, a bearish crossover alert fires. Everything is calculated on each bar so you can see the oscillator evolve in real time. You can customize the number of MAs, their minimum and maximum lengths, and the length of the signal-line SMA to suit different timeframes or markets.
Indicador Pine Script®
por mertenes3
1
DECODE Moving Average ToolkitDECODE Moving Average Toolkit: Your All-in-One MA Analysis Powerhouse! This versatile indicator is designed to be your go-to solution for analysing trends, identifying potential entry/exit points, and staying ahead of market movements using the power of Moving Averages (MAs). Whether you're a seasoned trader or just starting out, the Decode MAT offers a comprehensive suite of features in a user-friendly package. Key Features: Multiple Moving Averages: Visualize up to 10 Moving Averages simultaneously on your chart. Includes 5 Exponential Moving Averages (EMAs) and 5 Simple Moving Averages (SMAs). Easily toggle the visibility of each MA and customize its length to suit your trading style and the asset you're analyzing. Dynamic MA Ribbons: Gain a clearer perspective on trend direction and strength with 5 configurable MA Ribbons. Each ribbon is formed between a corresponding EMA and SMA (e.g., EMA 20 / SMA 20). The ribbon color changes to indicate bullish (e.g., green) or bearish (e.g., red) sentiment, providing an intuitive visual cue. Toggle ribbon visibility with a single click. Powerful Crossover Alerts: Never miss a potential trading opportunity with up to 5 customizable MA Crossover Alerts. Define your own fast and slow MAs for each alert from any of the 10 available MAs. Receive notifications directly through TradingView when your specified MAs cross over or cross under. Optionally display visual symbols (e.g., triangles ▲▼) directly on your chart at the exact crossover points for quick identification. Highly Customizable: Adjust the source price (close, open, etc.) for all MA calculations. Fine-tune the appearance (colors, line thickness) of every MA line, ribbon, and alert symbol to match your charting preferences. User-Friendly Interface: All settings are neatly organized in the indicator's input menu, making configuration straightforward and intuitive. How Can You Use the Decode MAT in Your Trading? This toolkit is incredibly versatile and can be adapted to various trading strategies: Trend Identification: Use longer-term MAs (e.g., 50, 100, 200 period) to identify the prevailing market trend. When prices are consistently above these MAs, it suggests an uptrend, and vice-versa. Observe the MA ribbons: A consistently green ribbon can indicate a strong uptrend, while a red ribbon can signal a downtrend. The widening or narrowing of the ribbon can also suggest changes in trend momentum. Dynamic Support & Resistance: Shorter-term MAs (e.g., 10, 20 period EMAs) can act as dynamic levels of support in an uptrend or resistance in a downtrend. Look for price pullbacks to these MAs as potential entry opportunities. Crossover Signals (Entries & Exits): Golden Cross / Death Cross: Configure alerts for classic crossover signals. For example, a 50-period MA crossing above a 200-period MA (Golden Cross) is often seen as a long-term bullish signal. Conversely, a 50-period MA crossing below a 200-period MA (Death Cross) can be a bearish signal. Shorter-Term Signals: Use crossovers of shorter-term MAs (e.g., EMA 10 crossing EMA 20) for more frequent, shorter-term trading signals. A fast MA crossing above a slow MA can signal a buy, while a cross below can signal a sell. Use the on-chart symbols for quick visual confirmation of these crossover events. Confirmation Tool: Combine the Decode MAT with other indicators (like RSI, MACD, or volume analysis) to confirm signals and increase the probability of successful trades. For instance, a bullish MA crossover combined with an oversold RSI reading could strengthen a buy signal. Multi-Timeframe Analysis: Apply the toolkit across different timeframes to get a broader market perspective. A long-term uptrend on the daily chart, confirmed by a short-term bullish crossover on the 1-hour chart, can provide a higher-confidence entry. The DECODE Moving Average Toolkit empowers you to tailor your MA analysis precisely to your needs.
Indicador Pine Script®
por decodejar
1
SMA Backtest Optimizer [Mr_Rakun]The SMA Backtest Optimizer is a powerful Pine Script tool designed to systematically analyze and compare various Simple Moving Average (SMA) periods to identify the most profitable configuration for trading strategies. This indicator tests multiple SMA periods (from 10 to 100) using a crossover strategy where buys occur when price crosses above the SMA and sells when price crosses below it. Key Features: Tests 10 different SMA periods to determine optimal settings Calculates profit/loss based on a defined starting capital Tracks total profit and number of trades for each period Visually highlights the best performing SMA on your chart Displays comprehensive results in an easy-to-read table Labels the chart with key performance metrics This code serves as a core framework that traders can customize for their specific needs. You can easily modify the strategy parameters, test different technical indicators, adjust capital settings, or implement more complex entry/exit rules. The optimization methodology can be applied to virtually any trading approach you wish to evaluate. Feel free to adapt this framework to test your own trading ideas and discover which parameters work best in different market conditions.
Indicador Pine Script®
por Mr_Rakun
3
Dskyz (DAFE) GENESIS Dskyz (DAFE) GENESIS: Adaptive Quant, Real Regime Power Let’s be honest: Most published strategies on TradingView look nearly identical—copy-paste “open-source quant,” generic “adaptive” buzzwords, the same shallow explanations. I’ve even fallen into this trap with my own previously posted strategies. Not this time. What Makes This Unique GENESIS is not a black-box mashup or a pre-built template. It’s the culmination of DAFE’s own adaptive, multi-factor, regime-aware quant engine—built to outperform, survive, and visualize live edge in anything from NQ/MNQ to stocks and crypto. True multi-factor core: Volume/price imbalances, trend shifts, volatility compression/expansion, and RSI all interlock for signal creation. Adaptive regime logic: Trades only in healthy, actionable conditions—no “one-size-fits-all” signals. Momentum normalization: Uses rolling, percentile-based fast/slow EMA differentials, ALWAYS normalized, ALWAYS relevant—no “is it working?” ambiguity. Position sizing that adapts: Not fixed-lot, not naive—not a loophole for revenge trading. No hidden DCA or pyramiding—what you see is what you trade. Dashboard and visual system: Directly connected to internal logic. If it’s shown, it’s used—and nothing cosmetic is presented on your chart that isn’t quantifiable. 📊 Inputs and What They Mean (Read Carefully) Maximum Raw Score: How many distinct factors can contribute to regime/trade confidence (default 4). If you extend the quant logic, increase this. RSI Length / Min RSI for Shorts / Max RSI for Longs: Fine-tunes how “overbought/oversold” matters; increase the length for smoother swings, tighten floors/ceilings for more extreme signals. ⚡ Regime & Momentum Gates Min Normed Momentum/Score (Conf): Raise to demand only the strongest trends—your filter to avoid algorithmic chop. 🕒 Volatility & Session ATR Lookback, ATR Low/High Percentile: These control your system’s awareness of when the market is dead or ultra-volatile. All sizing and filter logic adapts in real time. Trading Session (hours): Easy filter for when entries are allowed; default is regular trading hours—no surprise overnight fills. 📊 Sizing & Risk Max Dollar Risk / Base-Max Contracts: All sizing is adaptive, based on live regime and volatility state—never static or “just 1 contract.” Control your max exposures and real $ risk. ATR will effect losses in high volatility times. 🔄 Exits & Scaling Stop/Trail/Scale multipliers: You choose how dynamic/flexible risk controls and profit-taking need to be. ATR-based, so everything auto-adjusts to the current market mode. Visuals That Actually Matter Dashboard (Top Right): Shows only live, relevant stats: scoring, status, position size, win %, win streak, total wins—all from actual trade engine state (not “simulated”). Watermark (Bottom Right): Momentum bar visual is always-on, regime-aware, reflecting live regime confidence and momentum normalization. If the bar is empty, you’re truly in no-momentum. If it glows lime, you’re riding the strongest possible edge. *No cosmetics, no hidden code distractions. Backtest Settings Initial capital: $10,000 Commission: Conservative, realistic roundtrip cost: 15–20 per contract (including slippage per side) I set this to $25 Slippage: 3 ticks per trade Symbol: CME_MINI:NQ1! Timeframe: 1 min (but works on all timeframes) Order size: Adaptive, 1–3 contracts No pyramiding, no hidden DCA Why these settings? These settings are intentionally strict and realistic, reflecting the true costs and risks of live trading. The 10,000 account size is accessible for most retail traders. 25/contract including 3 ticks of slippage are on the high side for NQ, ensuring the strategy is not curve-fit to perfect fills. If it works here, it will work in real conditions. Why It Wins While others put out “AI-powered” strategies with little logic or soul, GENESIS is ruthlessly practical. It is built around what keeps traders alive: - Context-aware signals, not just patterns - Tight, transparent risk - Inputs that adapt, not confuse - Visuals that clarify, not distract - Code that runs clean, efficient, and with minimal overfitting risk (try it on QQQ, AMD, SOL, etc. out of the box) Disclaimer (for TradingView compliance): Trading is risky. Futures, stocks, and crypto can result in significant losses. Do not trade with funds you cannot afford to lose. This is for educational and informational purposes only. Use in simulation/backtest mode before live trading. No past performance is indicative of future results. Always understand your risk and ownership of your trades. This will not be my last—my goal is to keep raising the bar until DAFE is a brand or I’m forced to take this private. Use with discipline, use with clarity, and always trade smarter. — Dskyz , powered by DAFE Trading Systems.
Estratégia Pine Script®
por DskyzInvestments
6
Best SMA FinderThis script, Best SMA Finder, is a tool designed to identify the most robust simple moving average (SMA) length for a given chart, based on historical backtest performance. It evaluates hundreds of SMA values (from 10 to 1000) and selects the one that provides the best balance between profitability, consistency, and trade frequency. What it does: The script performs individual backtests for each SMA length using either "Long Only" or "Buy & Sell" logic, as selected by the user. For each tested SMA, it computes: - Total number of trades - Profit Factor (total profits / total losses) - Win Rate - A composite Robustness Score, which integrates Profit Factor, number of trades (log-scaled), and win rate. Only SMA configurations that meet the user-defined minimum trade count are considered valid. Among all valid candidates, the script selects the SMA length with the highest robustness score and plots it on the chart. How to use it: - Choose the strategy type: "Long Only" or "Buy & Sell" - Set the minimum trade count to filter out statistically irrelevant results - Enable or disable the summary stats table (default: enabled) The selected optimal SMA is plotted on the chart in blue. The optional table in the top-right corner shows the corresponding SMA length, trade count, Profit Factor, Win Rate, and Robustness Score for transparency. Key Features: - Exhaustive SMA optimization across 991 values - Customizable trade direction and minimum trade filters - In-chart visualization of results via table and plotted optimal SMA - Uses a custom robustness formula to rank SMA lengths Use cases: Ideal for traders who want to backtest and auto-select a historically effective SMA without manual trial-and-error. Useful for swing and trend-following strategies across different timeframes. 📌 Limitations: - Not a full trading strategy with position sizing or stop-loss logic - Only one entry per direction at a time is allowed - Designed for exploration and optimization, not as a ready-to-trade system This script is open-source and built entirely from original code and logic. It does not replicate any closed-source script or reuse significant external open-source components.
Indicador Pine Script®
por Julien_Eche
33
Express Generator StrategyExpress Generator Strategy Pine Script™ v6 The Express Generator Strategy is an algorithmic trading system that harnesses confluence from multiple technical indicators to optimize trade entries and dynamic risk management. Developed in Pine Script v6, it is designed to operate within a user-defined backtesting period—ensuring that trades are executed only during chosen historical windows for targeted analysis. How It Works: - Entry Conditions: The strategy relies on a dual confirmation approach:- A moving average crossover system where a fast (default 9-period SMA) crossing above or below a slower (default 21-period SMA) average signals a potential trend reversal. - MACD confirmation; trades are only initiated when the MACD line crosses its signal line in the direction of the moving average signal. - An RSI filter refines these signals by preventing entries when the market might be overextended—ensuring that long entries only occur when the RSI is below an overbought level (default 70) and short entries when above an oversold level (default 30). - Risk Management & Dynamic Position Sizing: The strategy takes a calculated approach to risk by enabling the adjustment of position sizes using:- A pre-defined percentage of equity risk per trade (default 1%, adjustable between 0.5% to 3%). - A stop-loss set in pips (default 100 pips, with customizable ranges), which is then adjusted by market volatility measured through the ATR. - Trailing stops (default 50 pips) to help protect profits as the market moves favorably. This combination of volatility-adjusted risk and equity-based position sizing aims to harmonize trade exposure with prevailing market conditions. - Backtest Period Flexibility: Users can define the start and end dates for backtesting (e.g., January 1, 2020 to December 31, 2025). This ensures that the strategy only opens trades within the intended analysis window. Moreover, if the strategy is still holding a position outside this period, it automatically closes all trades to prevent unwanted exposure. - Visual Insights: For clarity, the strategy plots the fast (blue) and slow (red) moving averages directly on the chart, allowing for visual confirmation of crossovers and trend shifts. By integrating multiple technical indicators with robust risk management and adaptable position sizing, the Express Generator Strategy provides a comprehensive framework for capturing trending moves while prudently managing downside risk. It’s ideally suited for traders looking to combine systematic entries with a disciplined and dynamic risk approach.
Estratégia Pine Script®
por bengles