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MA Ribbon Buy & Sell SignalsMoving Averages: The script calculates simple moving averages for 15, 30, 150, and 200 periods and plots them on your chart. Signal Conditions: A buy signal is generated when the 15 MA crosses above the 30 MA and the closing price is above the 150 and 200 MAs (indicating an overall uptrend). A sell signal is generated when the 15 MA crosses below the 30 MA and the closing price is below the 150 and 200 MAs (indicating an overall downtrend). Visual Cues: The script uses green arrows below the bar for buy signals and red arrows above the bar for sell signals.
مؤشرات Pine Script™
من ‎BaktavatsalamGiri‎
EMA Cross + RSI Scalping One of the best scalp trading strategies is the "EMA Cross + RSI" strategy. It combines trend-following with momentum confirmation, making it effective for short-term trades. Key Components: Exponential Moving Averages (EMAs): Use a fast EMA (e.g., 9-period) and a slow EMA (e.g., 21-period). The crossover of the fast EMA above the slow EMA signals a potential buy opportunity. The crossover of the fast EMA below the slow EMA signals a potential sell opportunity. Relative Strength Index (RSI): Use a 14-period RSI to confirm momentum. For buy signals, RSI should be above 50 (bullish momentum). For sell signals, RSI should be below 50 (bearish momentum). Time Frame: This strategy works best on 1-minute, 5-minute, or 15-minute charts. Risk Management: Use a stop-loss below the recent swing low (for buys) or above the recent swing high (for sells). Aim for a risk-reward ratio of 1:1.5 or 1:2.
مؤشرات Pine Script™
من ‎yazdanhadian‎
1
EMA Cross + RSI Scalping StrategyOne of the best scalp trading strategies is the "EMA Cross + RSI" strategy. It combines trend-following with momentum confirmation, making it effective for short-term trades. Key Components: Exponential Moving Averages (EMAs): Use a fast EMA (e.g., 9-period) and a slow EMA (e.g., 21-period). The crossover of the fast EMA above the slow EMA signals a potential buy opportunity. The crossover of the fast EMA below the slow EMA signals a potential sell opportunity. Relative Strength Index (RSI): Use a 14-period RSI to confirm momentum. For buy signals, RSI should be above 50 (bullish momentum). For sell signals, RSI should be below 50 (bearish momentum). Time Frame: This strategy works best on 1-minute, 5-minute, or 15-minute charts. Risk Management: Use a stop-loss below the recent swing low (for buys) or above the recent swing high (for sells). Aim for a risk-reward ratio of 1:1.5 or 1:2.
مؤشرات Pine Script™
من ‎yazdanhadian‎
Market Trend Environment (Qullamaggie Method) (Multi-Option)Well-known trader Qullamaggie emphasizes the importance of tracking the overall market (especially the NASDAQ and SPY) to confirm the best conditions for trading breakouts. He looks for strong market trends using the 10-day SMA (Simple Moving Average) above the 20-day SMA on the NASDAQ or SPY. When NASDAQ’s 10-day SMA is above the 20-day SMA, it indicates a bullish environment, which increases the probability of successful breakouts in individual stocks. When NASDAQ is weak, breakouts tend to fail, so traders stay cautious or avoid trading aggressively. 🔹 Correlation Between Stock Breakouts & Market Trends According to MasterTradingFlow on YouTube: 📌 80% of stock breakouts happen when SPY’s 10-day SMA is above the 20-day SMA → Meaning a strong market significantly increases the odds of success. 📌 However, 76% of breakdowns also happen when the 10-day is above the 20-day → This means momentum stocks can go both ways, and risk management is crucial. 🔹 Alternative Strategy: Price Above Rising 20-Day SMA Some traders prefer a simpler approach: Instead of using the 10-day vs 20-day crossover, they track when price is above a rising 20-day SMA. This method ensures they only trade when the market is in a clear uptrend with strong momentum. This is a more trend-following approach and avoids false signals in choppy conditions. 🔹 How This Indicator Works ✅ Two Tracking Methods (Choose One or Use Both) 1️⃣ SMA 10 Above SMA 20: Classic trend confirmation. 2️⃣ Price Above Rising 20-Day SMA: Ensures price is in an uptrend. You can use one or both conditions together for stronger confirmation. Works with NASDAQ, SPY, BTC, Crypto Market Cap, Sectors, or Any Other Asset. ✅ Customization & Flexibility Choose Your Market Reference (NASDAQ, SPY, BTC, or any pair). Enable/Disable Each Condition Separately. Custom Background Colors for Each Condition.
مؤشرات Pine Script™
من ‎NNenov‎
[GYTS] FiltersToolkit LibraryFiltersToolkit Library 🌸 Part of GoemonYae Trading System (GYTS) 🌸 🌸 --------- 1. INTRODUCTION --------- 🌸 💮 What Does This Library Contain? This library is a curated collection of high-performance digital signal processing (DSP) filters and auxiliary functions designed specifically for financial time series analysis. It includes a shortlist of our favourite and best performing filters — each rigorously tested and selected for their responsiveness, minimal lag and robustness in diverse market conditions. These tools form an integral part of the GoemonYae Trading System (GYTS), chosen for their unique characteristics in handling market data. The library contains two main categories: 1. Smoothing filters (low-pass filters and moving averages) for e.g. denoising, trend following 2. Detrending tools (high-pass and band-pass filters, known as "oscillators") for e.g. mean reversion This collection is finely tuned for practical trading applications and is therefore not meant to be exhaustive. However, will continue to expand as we discover and validate new filtering techniques. I welcome collaboration and suggestions for novel approaches. 🌸 ——— 2. ADDED VALUE ——— 🌸 💮 Unified syntax and comprehensive documentation The FiltersToolkit Library brings together a wide array of valuable filters under a unified, intuitive syntax. Each function is thoroughly documented, with clear explanations and academic sources that underline the mathematical rigour behind the methods. This level of documentation not only facilitates integration into trading strategies but also helps underlying the underlying concepts and rationale. 💮 Optimised performance and readability The code prioritizes computational efficiency while maintaining readability. Key optimizations include: - Minimizing redundant calculations in recursive filters - Smart coefficient caching - Efficient state management - Vectorized operations where applicable 💮 Enhanced functionality and flexibility Some filters in this library introduce extended functionality beyond the original publications. For instance, the MESA Adaptive Moving Average (MAMA) and Ehlers’ Combined Bandpass Filter incorporate multiple variations found in the literature, thereby providing traders with flexible tools that can be fine-tuned to different market conditions. 🌸 ——— 3. THE FILTERS ——— 🌸 💮 Hilbert Transform Function This function implements the Hilbert Transform as utilised by John Ehlers. It converts a real-valued time series into its analytic signal, enabling the extraction of instantaneous phase and frequency information—an essential step in adaptive filtering. Source: John Ehlers - "Rocket Science for Traders" (2001), "TASC 2001 V. 19:9", "Cybernetic Analysis for Stocks and Futures" (2004) 💮 Homodyne Discriminator By leveraging the Hilbert Transform, this function computes the dominant cycle period through a Homodyne Discriminator. It extracts the in-phase and quadrature components of the signal, facilitating a robust estimation of the underlying cycle characteristics. Source: John Ehlers - "Rocket Science for Traders" (2001), "TASC 2001 V. 19:9", "Cybernetic Analysis for Stocks and Futures" (2004) 💮 MESA Adaptive Moving Average (MAMA) An advanced dual-stage adaptive moving average, this function outputs both the MAMA and its companion FAMA. It combines adaptive alpha computation with elements from Kaufman’s Adaptive Moving Average (KAMA) to provide a responsive and reliable trend indicator. Source: John Ehlers - "Rocket Science for Traders" (2001), "TASC 2001 V. 19:9", "Cybernetic Analysis for Stocks and Futures" (2004) 💮 BiQuad Filters A family of second-order recursive filters offering exceptional control over frequency response: - High-pass filter for detrending - Low-pass filter for smooth trend following - Band-pass filter for cycle isolation The quality factor (Q) parameter allows fine-tuning of the resonance characteristics, making these filters highly adaptable to different market conditions. Source: Robert Bristow-Johnson's Audio EQ Cookbook, implemented by @The_Peaceful_Lizard 💮 Relative Vigor Index (RVI) This filter evaluates the strength of a trend by comparing the closing price to the trading range. Operating similarly to a band-pass filter, the RVI provides insights into market momentum and potential reversals. Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004) 💮 Cyber Cycle The Cyber Cycle filter emphasises market cycles by smoothing out noise and highlighting the dominant cyclical behaviour. It is particularly useful for detecting trend reversals and cyclical patterns in the price data. Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004) 💮 Butterworth High Pass Filter Inspired by the classical Butterworth design, this filter achieves a maximally flat magnitude response in the passband while effectively removing low-frequency trends. Its design minimises phase distortion, which is vital for accurate signal interpretation. Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004) 💮 2-Pole SuperSmoother Employing a two-pole design, the SuperSmoother filter reduces high-frequency noise with minimal lag. It is engineered to preserve trend integrity while offering a smooth output even in noisy market conditions. Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004) 💮 3-Pole SuperSmoother An extension of the 2-pole design, the 3-pole SuperSmoother further attenuates high-frequency noise. Its additional pole delivers enhanced smoothing at the cost of slightly increased lag. Source: John Ehlers – “Cybernetic Analysis for Stocks and Futures” (2004) 💮 Adaptive Directional Volatility Moving Average (ADXVma) This adaptive moving average adjusts its smoothing factor based on directional volatility. By combining true range and directional movement measurements, it remains exceptionally flat during ranging markets and responsive during directional moves. Source: Various implementations across platforms, unified and optimized 💮 Ehlers Combined Bandpass Filter with Automated Gain Control (AGC) This sophisticated filter merges a highpass pre-processing stage with a bandpass filter. An integrated Automated Gain Control normalises the output to a consistent range, while offering both regular and truncated recursive formulations to manage lag. Source: John F. Ehlers – “Truncated Indicators” (2020), “Cycle Analytics for Traders” (2013) 💮 Voss Predictive Filter A forward-looking filter that predicts future values of a band-limited signal in real time. By utilising multiple time-delayed feedback terms, it provides anticipatory coupling and delivers a short-term predictive signal. Source: John Ehlers - "A Peek Into The Future" (TASC 2019-08) 💮 Adaptive Autonomous Recursive Moving Average (A2RMA) This filter dynamically adjusts its smoothing through an adaptive mechanism based on an efficiency ratio and a dynamic threshold. A double application of an adaptive moving average ensures both responsiveness and stability in volatile and ranging markets alike. Very flat response when properly tuned. Source: @alexgrover (2019) 💮 Ultimate Smoother (2-Pole) The Ultimate Smoother filter is engineered to achieve near-zero lag in its passband by subtracting a high-pass response from an all-pass response. This creates a filter that maintains signal fidelity at low frequencies while effectively filtering higher frequencies at the expense of slight overshooting. Source: John Ehlers - TASC 2024-04 "The Ultimate Smoother" Note: This library is actively maintained and enhanced. Suggestions for additional filters or improvements are welcome through the usual channels. The source code contains a list of tested filters that did not make it into the curated collection.
مكتبة Pine Script™
من ‎GoemonYae‎
6
EMA 8/13/21 Golden TriangleDescription: The "EMA Golden Triangle" indicator is a powerful tool for identifying potential trend reversals and continuations, based on the principles of Exponential Moving Averages (EMAs) and the revered Fibonacci sequence. This indicator plots three key EMAs: EMA 8 (Red): A fast-moving average, highly responsive to recent price changes. EMA 13 (Orange): A medium-term average, balancing responsiveness and stability. EMA 21 (Yellow): A slower-moving average, representing the longer-term trend. Fibonacci and Trading: EMA lengths (8, 13, 21) are derived from the Fibonacci sequence, often observed in financial markets. Traders use Fibonacci numbers and ratios to identify potential support/resistance, retracements, and extensions. Using these Fibonacci numbers for the EMAs aims to align the indicator with potential market turning points. How to Use the Indicator: The indicator identifies "Golden Triangle" formations: Bullish Golden Triangle: EMA 8 > EMA 13 > EMA 21, and EMA 8 and EMA 13 crossover EMA 21. Signals a potential uptrend. A green triangle appears below the bar, with a light green background. Bearish Golden Triangle: EMA 8 < EMA 13 < EMA 21, and EMA 8 and EMA 13 cross under EMA 21. Signals a potential downtrend. A red triangle appears above the bar, with a light red background. This indicator can be particularly useful on lower timeframes for scalping and day trading, where quick reactions to price changes are crucial. On these timeframes: Lower Timeframes (1-min, 5-min, 15-min): More Signals: More frequent Golden Triangles, but also more false signals. Price Action: Confirming candlestick patterns. Support/Resistance: Avoid significant levels that could invalidate the signal. Volume: Higher volume strengthens the signal. Other Indicators: Use RSI, MACD, or Supertrend for confirmation. Tight Stop Losses: Essential due to potential whipsaws. Backtest Thoroughly: Test with historical data before live trading. Alerts: Built-in alerts for bullish and bearish formations. Disclaimer: No indicator is perfect. Past performance doesn't guarantee future results. Use proper risk management and integrate this indicator into a broader strategy.
مؤشرات Pine Script™
من ‎fibearacci‎
2
ADAPTIVE APEX: MICRO NASDAQ EDITIONStrategy Overview The "ADAPTIVE APEX: MICRO NASDAQ EDITION" strategy is designed for trading Nasdaq 100 micro futures. By combining dynamic technical signals with strict risk controls, this strategy aims to capture intraday trends while preserving capital. Developed with a deep understanding of market dynamics, it leverages exponential moving averages (EMAs) and the volume-weighted average price (VWAP) for precise trend identification, while using Average True Range (ATR) based stops to adapt to changing volatility conditions. Entry Criteria Long Entries: Signal: A long position is initiated when a short-term EMA (9-period) crosses above a longer-term EMA (21-period). Confirmation: If VWAP is enabled, the price must be trading above the VWAP line, indicating bullish strength. Short Entries: Signal: A short position is triggered when the short-term EMA crosses below the longer-term EMA. Confirmation: With VWAP enabled, the price must be below the VWAP line, confirming bearish momentum. This dual-layer confirmation helps filter out false signals and aligns entries with the prevailing market trend. Dynamic Risk Management Risk management is the cornerstone of this strategy. Each trade is sized and managed based on both predetermined risk parameters and real-time market volatility: Risk Per Trade: A maximum risk of $1,500 per trade is defined. This figure drives the calculation of position size based on the distance to the stop loss. ATR-Based Stop Losses: For long trades, the stop loss is set at 2 times the ATR, offering enough room for the trade to breathe during normal market fluctuations. For short trades, a slightly tighter stop loss is used (1.5 times the ATR) to accommodate the market’s natural behavior in downtrends. Take Profit Targets: Long trades are aimed at a 3:1 reward-to-risk ratio. Short trades are structured for a 2:1 reward-to-risk ratio. Break-Even and Trailing Stops: The strategy includes a break-even mechanism that shifts the stop to the entry point once the trade has moved a significant distance in the trader’s favor (50% towards the target profit for longs). Additionally, a trailing stop, also based on ATR, allows profits to run in trending markets while protecting gains during reversals. Weekly Loss Limit: To prevent prolonged drawdowns, trading is halted for the week if cumulative losses exceed $7,500. This weekly cap ensures that risk is kept within manageable limits. How It Mitigates Risk As a seasoned Nasdaq 100 day trader, I know that preserving capital is as important as generating profits. This strategy’s risk mitigation approach is multi-layered: Volatility Adaptive: By basing stop losses and trailing stops on ATR, the strategy adapts to different volatility regimes. This ensures that stops are neither too tight (causing premature exits) nor too loose (exposing you to larger losses). Position Sizing: Risk per trade is strictly controlled by calculating the number of contracts based on the maximum allowable risk and the distance to the stop loss. Profit Capture: The reward-to-risk ratios (3:1 for longs and 2:1 for shorts) are designed to ensure that winners significantly outweigh losses, even if losing trades occur. Break-Even Adjustments: Moving the stop loss to break-even once a trade shows favorable movement reduces the chance of a profitable trade turning into a loss. Safety Net: The weekly loss limit acts as an additional safety net, stopping all trading activity if cumulative losses exceed a predefined threshold, thus protecting the trading account from excessive drawdowns. Final Thoughts This strategy embodies a disciplined approach to day trading on the Nasdaq 100 Micro futures market. It combines well-proven technical indicators with rigorous risk management techniques to ensure that each trade is entered and exited in a controlled manner. The careful balance between letting winners run and cutting losses short is what sets this strategy apart. As someone who actively trades these instruments, I can confidently say that this method is a testament to the importance of risk management in achieving long-term trading success. Feel free to adjust the inputs and parameters to suit evolving market conditions and your personal risk tolerance. Happy trading!
استراتيجيات Pine Script™
من ‎creativecontentsanfran‎
Dynamic Reversal ZonesDynamic Reversal Zones – Indicator Overview and Strategy (Thanks to BigBeluga for the "Range Breakout " script. I used it to inspire the addition of a range breakout functionality) This comprehensive indicator combines two powerful tools: Dynamic Reversal Zones and Range Breakout. It is designed to help traders identify dynamic support and resistance zones, spot breakout opportunities, and capture reversal signals with clear visual cues. By leveraging both the dynamic zones and the breakout channel, you can gain a deeper understanding of market structure and set up high-probability trades. Dynamic Reversal Zones How It Works – Band Calculations: Primary Bands (High Band and Low Band): The indicator calculates a base using a simple moving average (SMA) over a user-defined period. A multiple of the standard deviation is then added and subtracted from this base to generate the high band and low band. These levels represent key areas where price has historically encountered resistance (high band) or support (low band). Secondary Bands (Upper Band and Lower Band): A second set of bands is calculated using a shorter SMA (the "media"). By adding and subtracting the corresponding standard deviation, the indicator forms the upper band and lower band. These secondary bands help refine the dynamic zones, pinpointing more precise reversal areas. Signal Generation: SELL Signal: A sell signal is triggered when the price overshoots the upper zones (either the high band or upper band) and then reverses by closing below these levels with a bearish candle. This behavior suggests an overextension on the upside and a potential reversal. BUY Signal: Conversely, a buy signal occurs when the price falls below the lower zones and then recovers, with a bullish candle that closes above both the low band and the lower band. This indicates that the price has oversold and is likely to reverse upward. How to Use Dynamic Reversal Zones: Identify Reversal Opportunities: Use the dynamically calculated bands as support and resistance levels. Look for price overextensions that then reverse back within the zones to identify potential trade entries. Entry and Exit Strategies: For BUY entries, consider entering after a confirmed bullish reversal when the price recovers from oversold conditions. For SELL entries, wait for a bearish reversal from an overextended high. Placing stop losses just beyond the respective zone boundaries helps manage risk. Confluence with Other Tools: Enhance your trading by confirming signals with momentum indicators (e.g., RSI, MACD), volume analysis, or higher timeframe trendlines. Additionally, combining these zones with pivot points or Fibonacci retracements can refine your entry and exit levels. Range Breakout How It Works – Channel-Based Calculations: Dynamic Channel Formation: The Range Breakout component creates a dynamic channel based on an ATR (Average True Range) calculation. It automatically establishes upper and lower bands, along with a midline, by applying a multiplier to a smoothed ATR. These boundaries define the current price range and help identify breakout opportunities. Breakout Detection and Reset: When the price breaks above the upper band or below the lower band—or if a certain number of bars occur outside the channel—the indicator resets the channel using the current price as the new center. This dynamic reset allows traders to monitor evolving price ranges and adapt to changing market conditions. Visual Signals: Channel Plot Appearance: The channel is drawn on the chart with customizable color and transparency settings. Users can control the appearance of the channel plots (midline, upper, and lower bands) through dedicated inputs, ensuring that the indicator blends seamlessly with your chart style. Breakout Signals and Fakeouts: The indicator also marks breakout signals when the price reverses after testing the channel boundaries. Additionally, it can highlight potential fakeout scenarios where the price briefly breaks the channel without sustaining the move. These visual signals help traders distinguish between genuine breakouts and false moves. How to Use Range Breakout: Identifying Opportunities: Watch for candles that test or exceed the channel boundaries and then reverse, as this can indicate a breakout followed by a retest of the channel. Such setups may provide opportunities to enter trades at attractive risk-reward levels. Complementary Tool: When used together with the Dynamic Reversal Zones, the Range Breakout component adds another layer of confirmation. For instance, a reversal signal from the dynamic zones that coincides with a channel breakout or retest may offer enhanced trade validation. Customization & Best Practices Customization: Both sections of the indicator offer a wide range of adjustable parameters—including periods, multipliers, line styles, colors, and opacities—allowing you to tailor the tool to various markets and timeframes, whether you are scalping or swing trading. Confluence Setups: For increased reliability, combine the signals from these components with other technical indicators (such as RSI, MACD, volume, and trendlines). Confirming breakouts, reversals, and fakeout scenarios using multiple methods can significantly improve your trade outcomes. Risk Management: Always apply sound risk management techniques. Use stop losses just beyond the dynamic zones or channel boundaries to protect against false signals. Backtest different configurations to determine the optimal settings for your trading style. By integrating the Dynamic Reversal Zones and Range Breakout into a single indicator, traders gain a comprehensive view of market structure—enabling them to spot high-probability reversal and breakout opportunities. Experiment with the settings, combine these tools with complementary technical analysis methods, and always adhere to strict risk management principles for the best trading results. Happy Trading!
مؤشرات Pine Script™
من ‎RickBayTrader‎
3
Cumulative VWAP and EMA with Ichimoku and volume (v3.0)calculated by using vwap to make Lines, SMA, EMA 14, 26, 34, 89, 147, 200, 258, 369, 610, then select and combine the most responsive lines and generelate a filled band to express the range of distortion before price start changing its direction of responses. Then by that calculated out the 2 upper and lower bands based on the comcept of bollinger band to create a "no trade zone " that used for amatuers to avoid trading if no experiences. Then wait for ALMA line to harmonic aglined with upper no trading zone line to start trading. If ALMA line aline with No trad zone top, turn green color, and above the balance zone, then go long every time price hit back to ALMA line. then short for versa. IF price get into no trade zone, non-exp trader should not trade, pro-trader can observe the balance space to take a position same direction with the ALMA line and the no trade zone line. If ALMA line is inside the no trade zone, then don't trade. Just simple it is.
مؤشرات Pine Script™
من ‎bmh248‎
Triple HMA Colored [Chichomax]Triple HMA Colored Indicator Description The Triple HMA Colored indicator is a sophisticated technical analysis tool designed to enhance trend identification by displaying three Hull Moving Averages (HMAs) on your chart, each with fully customizable periods and dynamic color settings. This indicator is built on the refined HMA calculation method, which leverages weighted moving averages (WMAs) to generate smooth and responsive trend lines with minimal lag. Key Features: - Triple HMA Setup: Displays three HMAs, each computed with different, user-configurable periods, enabling multi-timeframe analysis in a single indicator. - Dynamic Color Coding: Each HMA line is color-coded based on its directional movement. When the current HMA value exceeds the previous value, the line is drawn in the designated "up" color, and when it falls below, it switches to the "down" color. This provides immediate visual cues for trend shifts. - Customizable Inputs: Users can adjust the period lengths for each of the three HMAs and select from six different color options (two for each HMA) directly from the indicator’s settings panel, ensuring that the tool can be tailored to match various trading strategies and visual preferences. - Efficient Trend Detection: By combining the speed of WMAs with the smoothness of the Hull Moving Average, this indicator offers a reliable method to detect market momentum changes, making it a valuable asset for both trend-following and counter-trend strategies. Ideal for traders who demand flexibility and clarity in their chart analysis, the Triple HMA Colored indicator simplifies the process of tracking market trends across multiple timeframes while providing clear, visual signals for potential entry and exit points.
مؤشرات Pine Script™
من ‎mn_muniz‎
[TehThomas] - MA Cross with DisplacementThis TradingView script, "MA Cross with Displacement," is designed to detect potential long and short trade opportunities based on moving average (MA) crossovers combined with price displacement confirmation. The script utilizes two simple moving averages (SMA) and highlights potential trade signals when a crossover occurs alongside a strong price movement (displacement). Why This Indicator is Useful This indicator enhances the standard moving average crossover strategy by incorporating a displacement condition, making trade signals more reliable. Many traders rely on moving average crossovers to determine trend reversals, but false signals often occur due to minor price fluctuations. By requiring a significant price movement (displacement), this indicator helps filter out weak or insignificant crossovers, leading to more high-probability trade opportunities. How It Works Calculates Two Moving Averages (MA) The user can set two different MA periods: MA 1 (blue line): Default period is 9 (shorter-term trend). MA 2 (red line): Default period is 21 (longer-term trend). These moving averages smooth out price fluctuations to identify overall trends. Detects Crossovers Bullish crossover: The blue MA crosses above the red MA + displacement candle → Potential long signal. Example of bullish cross with displacement: Bearish crossover: The blue MA crosses below the red MA + displacement candle → Potential short signal. Example of bearish cross with displacement: Confirms Displacement (Strong Price Move) A price displacement threshold is used (default: 1.1% of the previous candle size). For a valid trade signal, a crossover must occur alongside a strong price movement. Bullish Displacement Condition: Price increased by more than the threshold. Bearish Displacement Condition: Price decreased by more than the threshold. Visual Indicators on the Chart Bars are colored green when there is a bullish displacement. Bars are colored red when there is a bearish displacement. These color changes help traders quickly identify potential trade setups. How to Use the Indicator Add the Script to Your Chart Copy and paste the script into TradingView's Pine Script Editor. Click "Add to Chart" to activate it. Customize the Settings Adjust the moving average periods to fit your trading strategy. Modify the displacement threshold based on market volatility. Change the bar colors for better visualization. Look for Trade Signals Long Trade (Buy Signal) The blue MA crosses above the red MA (bullish crossover). A green bar appears, confirming bullish displacement. Short Trade (Sell Signal) The blue MA crosses below the red MA (bearish crossover). A red bar appears, confirming bearish displacement. Use in Conjunction with Other Indicators This indicator works best when combined with support & resistance levels, RSI, MACD, or volume analysis to improve trade accuracy. Final Thoughts The MA Cross with Displacement Indicator improves the reliability of moving average crossovers by requiring strong price movements to confirm a trade signal. This helps traders avoid false breakouts and weak trends, making it a powerful tool for identifying high-probability trades. __________________________________________ Thanks for your support! If you found this idea helpful or learned something new, drop a like 👍 and leave a comment—I’d love to hear your thoughts! 🚀 Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈✨
مؤشرات Pine Script™
من ‎TehThomas‎