Get started

Moving Averages

Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants My original indicator/Strategy: Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence. MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise. MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives. Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci). // Fibonacci-based factors for multiple Supertrend calculations factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend") factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend") factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend") This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA). // Calculate average of the three supertends and a smoothed version superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend") average_trend = (supertrend1 + supertrend2 + supertrend3) / 3 smoothed_trend = ta.ema(average_trend, superlength) The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets. Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront. 1. Granular Lower Timeframe RSI Momentum Filter The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe. // --- Lower Timeframe RSI Filter --- ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter") ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation") ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation") ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals") 2. Convergent Lower Timeframe MACD Trend-Momentum Filter The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe. // --- Lower Timeframe MACD Filter --- ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter") ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation") ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD") ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD") ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD") 3. Definitive Volume Confirmation Filter The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals. // --- Volume Filter --- volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter") volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)") These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability. Intuitive Visual Architecture & Actionable Intelligence MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots: Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias. Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend. Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum. Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective. Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action. MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions. Strategic Applications for Institutional Mandates MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include: High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation. Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns. Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment. Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates. Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols. Granular Customization and Parameterized Control MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include: Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes. ATR Length: Control volatility responsiveness in Supertrend calculations. Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction. MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering. Disclaimer MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
Pine Script® indicator
by FibonacciFlux
1
Forexsom MA Crossover SignalsA Trend-Following Trading Indicator for TradingView Overview This indicator plots two moving averages (MA) on your chart and generates visual signals when they cross, helping traders identify potential trend reversals. It is designed to be simple yet effective for both beginners and experienced traders. Key Features ✅ Dual Moving Averages – Plots a Fast MA (default: 9-period) and a Slow MA (default: 21-period) ✅ Customizable MA Types – Choose between EMA (Exponential Moving Average) or SMA (Simple Moving Average) ✅ Clear Buy/Sell Signals – Displays "BUY" (green label) when the Fast MA crosses above the Slow MA and "SELL" (red label) when it crosses below ✅ Alerts – Get notified when new signals appear (compatible with TradingView alerts) ✅ Clean Visuals – Easy-to-read moving averages with adjustable colors How It Works Bullish Signal (BUY) → Fast MA crosses above Slow MA (suggests uptrend) Bearish Signal (SELL) → Fast MA crosses below Slow MA (suggests downtrend) Best Used For ✔ Trend-following strategies (swing trading, day trading) ✔ Confirming trend reversals ✔ Filtering trade entries in combination with other indicators Customization Options Adjust Fast & Slow MA lengths Switch between EMA or SMA for smoother or more responsive signals Why Use This Indicator? Simple & Effective – No clutter, just clear signals Works on All Timeframes – From scalping (1M, 5M) to long-term trading (4H, Daily) Alerts for Real-Time Trading – Never miss a signal
Pine Script® indicator
by FOREXSOM
Forex Fire EMA/MA/RSI StrategyEURUSD The entry method in the Forex Fire EMA/MA/RSI Strategy combines several conditions across two timeframes. Here's a breakdown of how entries are determined: Long Entry Conditions: 15-Minute Timeframe Conditions: EMA 13 > EMA 62 (short-term momentum is bullish) Price > MA 200 (trading above the major trend indicator) Fast RSI (7) > Slow RSI (28) (momentum is increasing) Fast RSI > 50 (showing bullish momentum) Volume is increasing compared to 20-period average 4-Hour Timeframe Confluence: EMA 13 > EMA 62 (larger timeframe confirms bullish trend) Price > MA 200 (confirming overall uptrend) Slow RSI (28) > 40 (showing bullish bias) Fast RSI > Slow RSI (momentum is supporting the move) Additional Precision Requirement: Either EMA 13 has just crossed above EMA 62 (crossover) OR price has just crossed above MA 200 Short Entry Conditions: 15-Minute Timeframe Conditions: EMA 13 < EMA 62 (short-term momentum is bearish) Price < MA 200 (trading below the major trend indicator) Fast RSI (7) < Slow RSI (28) (momentum is decreasing) Fast RSI < 50 (showing bearish momentum) Volume is increasing compared to 20-period average 4-Hour Timeframe Confluence: EMA 13 < EMA 62 (larger timeframe confirms bearish trend) Price < MA 200 (confirming overall downtrend) Slow RSI (28) < 60 (showing bearish bias) Fast RSI < Slow RSI (momentum is supporting the move) Additional Precision Requirement: Either EMA 13 has just crossed under EMA 62 (crossunder) OR price has just crossed under MA 200 The key aspect of this strategy is that it requires alignment between the shorter timeframe (15m) and the larger timeframe (4h), which helps filter out false signals and focuses on trades that have strong multi-timeframe support. The crossover/crossunder requirement further refines entries by looking for actual changes in direction rather than just conditions that might have been in place for a long time.
Pine Script® strategy
by Forex_Fire
Stacked EMA Candle Colors - Enhanced📊 Stacked EMA Candle Colors – Trend Strength Visualizer Description: 🚀 Overview: The Stacked EMA Candle Colors – Trend Strength Visualizer is a simple yet powerful indicator that helps traders identify market trends using Exponential Moving Averages (EMAs). By dynamically coloring candles based on the strength and alignment of multiple EMAs, this tool makes it easier to spot bullish and bearish trends at a glance, without cluttering your chart with multiple EMA lines. 🔹 Key Features: ✅ Four Customizable EMA lengths (adjust in settings) ✅ Candles change color based on EMA stacking (adjustable) ✅ Four-part gradient-based strength visualization for momentum confirmation (adjustable) ✅ Works on all timeframes and asset classes 🎨 How It Works: When shorter EMAs (e.g., 9, 21) are above longer EMAs (e.g., 50, 200), the trend is bullish, and candles turn green/lime based on momentum strength. When shorter EMAs are below longer EMAs, the trend is bearish, and candles turn red/pink depending on trend intensity. If no clear trend is detected, candles remain gray for neutrality. 📈 Ideal for: ✔️ Trend traders who want a clear visual representation of momentum ✔️ Scalpers, day traders, and swing traders looking for quick trend confirmation ✔️ Anyone who wants to enhance their chart readability 🔧 Customization: Easily adjust the EMA periods in the settings menu to fit your preferred trading strategy! 🚀 Add this indicator to your TradingView chart and spot trends with confidence!
Pine Script® indicator
by bookswww
Lower Timeframe *MALower Timeframe Moving Average (MA) Indicator This indicator calculates a moving average using data from a lower timeframe than the chart's current timeframe. It provides potentially earlier signals and smoother price action by incorporating more granular price data. It also allows you to keep the same reference frame for your moving average regardless of your currently selected period. Key Features: - Uses lower timeframe data to calculate moving averages on higher timeframes - Supports multiple MA types: SMA, EMA, WMA, VWMA, RMA, and HMA - Allows selection of various price inputs (close, open, high, low, hl2, hlc3, ohlc4) - Automatically adjusts MA length based on the ratio between chart timeframe and selected sub-timeframe 15m 5m
Pine Script® indicator
by x2teknikal
full sma This indicator is specifically designed to provide traders with a comprehensive tool that integrates three crucial moving average levels into a single, streamlined solution. By consolidating these key levels, it enhances market analysis efficiency, enabling traders to identify trends, dynamic support and resistance zones, and potential entry or exit points with greater precision. Whether used for trend confirmation, momentum assessment, or strategic trade execution, this indicator serves as an essential component for both novice and professional traders aiming to refine their technical analysis approach.
Pine Script® indicator
by Parsa_gheidi
1
Stochastic Fusion Elite [trade_lexx]📈 Stochastic Fusion Elite is your reliable trading assistant! 📊 What is Stochastic Fusion Elite ? Stochastic Fusion Elite is a trading indicator based on a stochastic oscillator. It analyzes the rate of price change and generates buy or sell signals based on various technical analysis methods. 💡 The main components of the indicator 📊 Stochastic oscillator (K and D) Stochastic shows the position of the current price relative to the price range for a certain period. Values above 80 indicate overbought (an early sale is possible), and values below 20 indicate oversold (an early purchase is possible). 📈 Moving Averages (MA) The indicator uses 10 different types of moving averages to smooth stochastic lines.: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - HMA: Moving Average Scale - KAMA: Kaufman Adaptive Moving Average - VWMA: Volume-weighted moving average - ALMA: Arnaud Legoux Moving Average - TEMA: Triple exponential moving average - ZLEMA: zero delay exponential moving average - DEMA: Double exponential moving average The choice of the type of moving average affects the speed of the indicator's response to market changes. 🎯 Bollinger Bands (BB) Bands around the moving average that widen and narrow depending on volatility. They help determine when the stochastic is out of the normal range. 🔄 Divergences Divergences show discrepancies between price and stochastic: - Bullish divergence: price is falling and stochastic is rising — an upward reversal is possible - Bearish divergence: the price is rising, and stochastic is falling — a downward reversal is possible 🔍 Indicator signals 1️⃣ KD signals (K and D stochastic lines) - Buy signal: - What happens: the %K line crosses the %D line from bottom to top - What does it look like: a green triangle with the label "KD" under the chart and the label "Buy" below the bar - What does this mean: the price is gaining an upward momentum, growth is possible - Sell signal: - What happens: the %K line crosses the %D line from top to bottom - What it looks like: a red triangle with the label "KD" above the chart and the label "Sell" above the bar - What does this mean: the price is losing its upward momentum, possibly falling 2️⃣ Moving Average Signals (MA) - Buy Signal: - What happens: stochastic crosses the moving average from bottom to top - What it looks like: a green triangle with the label "MA" under the chart and the label "Buy" below the bar - What does this mean: stochastic is starting to accelerate upward, price growth is possible - Sell signal: - What happens: stochastic crosses the moving average from top to bottom - What it looks like: a red triangle with the label "MA" above the chart and the label "Sell" above the bar - What does this mean: stochastic is starting to accelerate downwards, a price drop is possible 3️⃣ Bollinger Band Signals (BB) - Buy signal: - What happens: stochastic crosses the lower Bollinger band from bottom to top - What it looks like: a green triangle with the label "BB" under the chart and the label "Buy" below the bar - What does this mean: stochastic was too low and is now starting to recover - Sell signal: - What happens: Stochastic crosses the upper Bollinger band from top to bottom - What it looks like: a red triangle with a "BB" label above the chart and a "Sell" label above the bar - What does this mean: stochastic was too high and is now starting to decline 4️⃣ Divergence Signals (Div) - Buy Signal (Bullish Divergence): - What's happening: the price is falling, and stochastic is forming higher lows - What it looks like: a green triangle with a "Div" label under the chart and a "Buy" label below the bar - What does this mean: despite the falling price, the momentum is already changing in an upward direction - Sell signal (bearish divergence): - What's going on: the price is rising, and stochastic is forming lower highs - What it looks like: a red triangle with a "Div" label above the chart and a "Sell" label above the bar - What does this mean: despite the price increase, the momentum is already weakening 🛠️ Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals - Why it is needed: prevents signals from being too frequent during strong market fluctuations - How to set it up: Set the number from 0 and above (default: 5) 2️⃣ "Waiting for the opposite signal" mode - What it does: waits for a signal in the opposite direction before generating a new signal - Why you need it: it helps you not to miss important trend reversals - How to set up: just turn the function on or off 3️⃣ Filter by stochastic levels - What it does: generates signals only when the stochastic is in the specified ranges - Why it is needed: it helps to catch the moments when the market is oversold or overbought - How to set up: - For buy signals: set a range for oversold (for example, 1-20) - For sell signals: set a range for overbought (for example, 80-100) 4️⃣ MFI filter - What it does: additionally checks the values of the cash flow index (MFI) - Why it is needed: confirms stochastic signals with cash flow data - How to set it up: - For buy signals: set the range for oversold MFI (for example, 1-25) - For sell signals: set the range for overbought MFI (for example, 75-100) 5️⃣ The RSI filter - What it does: additionally checks the RSI values to confirm the signals - Why it is needed: adds additional confirmation from another popular indicator - How to set up: - For buy signals: set the range for oversold MFI (for example, 1-30) - For sell signals: set the range for overbought MFI (for example, 70-100) 🔄 Signal combination modes 1️⃣ Normal mode - How it works: all signals (KD, MA, BB, Div) work independently of each other - When to use it: for general market analysis or when learning how to work with the indicator 2️⃣ "AND" Mode ("AND Mode") - How it works: the alarm appears only when several conditions are triggered simultaneously - Combination options: - KD+MA: signals from the KD and moving average lines - KD+BB: signals from KD lines and Bollinger bands - KD+Div: signals from the KD and divergence lines - KD+MA+BB: three signals simultaneously - KD+MA+Div: three signals at the same time - KD+BB+Div: three signals at the same time - KD+MA+BB+Div: all four signals at the same time - When to use: for more reliable but rare signals 🔌 Connecting to trading strategies The indicator can be connected to your trading strategies using 6 different channels.: 1. Connector KD signals: connects only the signals from the intersection of lines K and D 2. Connector MA signals: connects only signals from moving averages 3. Connector BB signal: connects only the signals from the Bollinger bands 4. Connector divergence signals: connects only divergence signals 5. Combined Connector: connects any signals 6. Connector for "And" mode: connects only combined signals 🔔 Setting up alerts The indicator can send alerts when alarms appear.: - Alerts for KD: when the %K line crosses the %D line - Alerts for MA: when stochastic crosses the moving average - Alerts for BB: when stochastic crosses the Bollinger bands - Divergence alerts: when a divergence is detected - Combined alerts: for all types of alarms - Alerts for "And" mode: for combined signals 🎭 What does the indicator look like on the chart ? - Main lines K and D: blue and orange lines - Overbought/oversold levels: horizontal lines at levels 20 and 80 - Middle line: dotted line at level 50 - Stochastic Moving Average: yellow line - Bollinger bands: green lines around the moving average - Signals: green and red triangles with corresponding labels 📚 How to start using Stochastic Fusion Elite 1️⃣ Initial setup - Add an indicator to your chart - Select the types of signals you want to use (KD, MA, BB, Div) - Adjust the period and smoothing for the K and D lines 2️⃣ Filter settings - Set the distance between the signals to get rid of unnecessary noise - Adjust stochastic, MFI and RSI levels depending on the volatility of your asset - If you need more reliable signals, turn on the "Waiting for the opposite signal" mode. 3️⃣ Operation mode selection - First, use the standard mode to see all possible signals. - When you get comfortable, try the "And" mode for rarer signals. 4️⃣ Setting up Alerts - Select the types of signals you want to be notified about - Set up alerts for these types of signals 5️⃣ Verification and adaptation - Check the operation of the indicator on historical data - Adjust the parameters for a specific asset - Adapt the settings to your trading style 🌟 Usage examples For trend trading - Use the KD and MA signals in the direction of the main trend - Set the distance between the signals - Set stricter levels for filters For trading in a sideways range - Use BB signals to detect bounces from the range boundaries - Use a stochastic level filter to confirm overbought/oversold conditions - Adjust the Bollinger bands according to the width of the range To determine the pivot points - Pay attention to the divergence signals - Set the distance between the signals - Check the MFI and RSI filters for additional confirmation
Pine Script® indicator
by trade_lexx
Multi EMA Cloud (13, 48, 200 EMAs)WORKS BEST ON THE 2 MIN you’ll see the bullish and bearish areas filled based on the interaction between the 13 EMA and the 48 EMA, The color changes help traders quickly identify trend shifts and potential trade opportunities. This indicator is great for trend-following traders who want a visual representation of momentum shifts for better entry and exit decisions leave anything in the comments for suggestions or new indicators to make.
Pine Script® indicator
by shared99x
Multi EMA Cloud (Bullish & Bearish)How It Works 1. EMAs Used: 8 EMA (Short-term) → Reacts quickly to price changes 20 EMA (Medium-term) → Provides a smoother trend 50 EMA (Longer-term) → Indicates overall trend direction 200 EMA (Major trend) → Acts as a key long-term support/resistance level 2. Cloud Fills for Trend Strength Bullish Clouds (Uptrend Confirmation) Blue Fill: When the 8 EMA is above the 20 EMA → Strong short-term trend Green Fill: When the 20 EMA is above the 50 EMA → Confirms bullish momentum Bearish Clouds (Downtrend Confirmation) Red Fill: When the 8 EMA is below the 20 EMA → Short-term bearish signal Orange Fill: When the 20 EMA is below the 50 EMA → Confirms downtrend 3. Trading Insights When the 8 EMA and 20 EMA are stacked above the 50 EMA and 200 EMA, it signals a strong uptrend. When the 8 EMA and 20 EMA fall below the 50 EMA and 200 EMA, it signals a strong downtrend. The color changes help traders quickly identify trend shifts and potential trade opportunities. This indicator is great for trend-following traders who want a visual representation of momentum shifts for better entry and exit decisions
Pine Script® indicator
by shared99x
Multi-Timeframe EMAsThis TradingView indicator provides a comprehensive overview of price momentum by overlaying multiple Exponential Moving Averages (EMAs) from different timeframes onto a single chart. By combining 1-hour, 4-hour, and daily EMAs, you can observe short-term trends while simultaneously monitoring medium-term and long-term market dynamics. The 1-hour EMA 13 and EMA 21 help capture rapid price changes, which is useful for scalpers or intraday traders looking to identify sudden momentum shifts. Meanwhile, the 4-hour EMA 21 offers a more stable, intermediate perspective, filtering out some of the noise found in shorter intervals. Finally, the daily EMAs (13, 25, and 50) highlight prevailing market sentiment over a longer period, enabling traders to assess higher-level trends and gauge whether short-term signals align with overarching tendencies. By plotting all these EMAs together, it becomes easier to detect confluences or divergences across different time horizons, making it simpler to refine entries and exits based on multi-timeframe confirmation. This script is especially helpful for swing traders and position traders who wish to ensure that smaller timeframe strategies do not conflict with long-term market direction.
Pine Script® indicator
by zeroxhopium