Moving_average

PRO Investing - Level PRO Investing - Level 📊 Dynamic Support/Resistance This indicator plots the PRO Investing Level, defined as the midpoint between the highest high and lowest low over the past 252 trading days (default lookback period, equivalent to ~1 year). It acts as a key mean-reversion reference level, useful for identifying potential support/resistance zones or market equilibrium levels. Features: 🕰️ Option to display only today’s level or historical levels. ⚙️ Customizable lookback period for flexibility across timeframes and strategies. 📉 Teal line plotted directly on the chart, highlighting this institutional-grade level. Ideal for traders looking to anchor price action to significant historical ranges—particularly useful in mean-reversion, breakout, or volatility compression strategies.

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by PRO-Investing

OBV with MA & Bollinger Bands by Marius1032 OBV with MA & Bollinger Bands by Marius1032 This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength. Features: OBV-based trend tracking Optional smoothing: SMA, EMA, RMA, WMA, VWMA Optional Bollinger Bands with SMA Potential Combinations and Trading Strategies: Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend. Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal. Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal. 1. On-Balance Volume (OBV): Purpose: OBV is a momentum indicator that uses volume flow to predict price movements. Calculation: Volume is added on up days and subtracted on down days. Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices. Divergence: Divergence between OBV and price can signal potential trend reversals. 2. Moving Average (MA): Purpose: Moving Averages smooth price fluctuations and help identify trends. Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation. 3. Bollinger Bands (BB): Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals. Structure: They consist of a moving average (typically 20-period) and two standard deviation bands. Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal. Created by: Marius1032

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Chebyshev-Gauss Convergence Divergence The Chebyshev-Gauss Convergence Divergence is a momentum indicator that leverages the Chebyshev-Gauss Moving Average (CG-MA) to provide a smoother and more responsive alternative to traditional oscillators like the MACD. For more information see the moving average script: How it works: It calculates a fast CG-MA and a slow CG-MA. The CG-MA uses Gauss-Chebyshev quadrature to compute a weighted average, which can offer a better trade-off between lag and smoothness compared to simple or exponential MAs. The Oscillator line is the difference between the fast CG-MA and the slow CG-MA. A Signal Line, which is a simple moving average of the Oscillator line, is plotted to show the average trend of the oscillator. A Histogram is plotted, representing the difference between the Oscillator and the Signal Line. The color of the histogram bars changes to indicate whether momentum is strengthening or weakening. How to use: Crossovers: A buy signal can be generated when the Oscillator line crosses above the Signal line. A sell signal can be generated when it crosses below. Zero Line: When the Oscillator crosses above the zero line, it indicates upward momentum (fast MA is above slow MA).When it crosses below zero, it indicates downward momentum. Divergence: Like with the MACD, look for divergences between the oscillator and price action to spot potential reversals. Histogram: The histogram provides a visual representation of the momentum. When the bars are growing, momentum is increasing. When they are shrinking, momentum is fading.

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CGMA Library "CGMA" This library provides a function to calculate a moving average based on Chebyshev-Gauss Quadrature. This method samples price data more intensely from the beginning and end of the lookback window, giving it a unique character that responds quickly to recent changes while also having a long "memory" of the trend's start. Inspired by reading rohangautam.github.io What is Chebyshev-Gauss Quadrature? It's a numerical method to approximate the integral of a function f(x) that is weighted by 1/sqrt(1-x^2) over the interval . The approximation is a simple sum: ∫ f(x)/sqrt(1-x^2) dx ≈ (π/n) * Σ f(xᵢ) where xᵢ are special points called Chebyshev nodes. How is this applied to a Moving Average? A moving average can be seen as the "mean value" of the price over a lookback window. The mean value of a function with the Chebyshev weight is calculated as: Mean = / The math simplifies beautifully, resulting in the mean being the simple arithmetic average of the function evaluated at the Chebyshev nodes: Mean = (1/n) * Σ f(xᵢ) What's unique about this MA? The Chebyshev nodes xᵢ are not evenly spaced. They are clustered towards the ends of the interval . We map this interval to our lookback period. This means the moving average samples prices more intensely from the beginning and the end of the lookback window, and less intensely from the middle. This gives it a unique character, responding quickly to recent changes while also having a long "memory" of the start of the trend.

Library

Chebyshev-Gauss Moving Average This indicator applies the principles of Chebyshev-Gauss Quadrature to create a novel type of moving average. Inspired by reading rohangautam.github.io What is Chebyshev-Gauss Quadrature? It's a numerical method to approximate the integral of a function f(x) that is weighted by 1/sqrt(1-x^2) over the interval . The approximation is a simple sum: ∫ f(x)/sqrt(1-x^2) dx ≈ (π/n) * Σ f(xᵢ) where xᵢ are special points called Chebyshev nodes. How is this applied to a Moving Average? A moving average can be seen as the "mean value" of the price over a lookback window. The mean value of a function with the Chebyshev weight is calculated as: Mean = / The math simplifies beautifully, resulting in the mean being the simple arithmetic average of the function evaluated at the Chebyshev nodes: Mean = (1/n) * Σ f(xᵢ) What's unique about this MA? The Chebyshev nodes xᵢ are not evenly spaced. They are clustered towards the ends of the interval . We map this interval to our lookback period. This means the moving average samples prices more intensely from the beginning and the end of the lookback window, and less intensely from the middle. This gives it a unique character, responding quickly to recent changes while also having a long "memory" of the start of the trend.

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Advanced Moving Average Channel Advanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective. Key Features: 1. Dynamic Channel Formation - Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA) - Separate upper and lower band calculations - Customizable band offsets for precise channel adjustment 2. Volume Analysis Integration - Multi-timeframe volume analysis (1H, 24H, 7D) - Relative volume comparison against historical averages - Volume trend detection with visual indicators - Price-level volume distribution profile 3. Market Context Indicators - RSI integration for overbought/oversold conditions - Channel position percentage - Volume-weighted price levels - Breakout detection with visual signals Usage Guidelines: 1. Channel Interpretation - Price within channel: Normal market conditions - Price above upper band: Potential overbought condition - Price below lower band: Potential oversold condition - Channel width: Indicates market volatility 2. Volume Analysis - High relative volume (>150%): Strong market interest - Low relative volume (<50%): Weak market interest - Volume trend arrows: Indicate increasing/decreasing market participation - Volume profile: Shows price levels with highest trading activity 3. Trading Signals - Breakout arrows: Potential trend continuation - RSI extremes: Confirmation of overbought/oversold conditions - Volume confirmation: Validates price movements Customization: - Adjust MA length for different market conditions - Modify band offsets for tighter/looser channels - Fine-tune volume analysis parameters - Customize visual appearance This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.

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Best EMA Finder This script, Best EMA Finder, is based on the same original logic as the Best SMA Finder I published previously. Although it was not the initial goal of the project, several users asked for an EMA version, so here it is. The script scans a wide range of Exponential Moving Average (EMA) lengths, from 10 to 500, and identifies the one that historically delivered the most robust performance on the current chart. The choice to stop at 500 is deliberate: beyond that point, EMA curves tend to flatten and converge, adding processing time without meaningful differences in signals or outcomes. Each EMA is evaluated using a custom robustness score: Profit Factor × log(Number of Trades) × sqrt(Win Rate) Only EMA lengths that exceed a user-defined minimum number of trades are considered valid. Among these, the one with the highest robustness score is selected and displayed on the chart. A table summarizes the results: - Best EMA length - Total number of trades - Profit Factor - Win Rate - Robustness Score You can adjust: - Strategy type: Long Only or Buy & Sell - Minimum number of trades required - Table visibility This script is designed for analysis and optimization only. It does not execute trades or handle position sizing. Only one open trade per direction is considered at a time.

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3 EMA + Supertrend Three EMAs: Helps you identify the general trend direction and potential crossovers. When the Fast EMA crosses above the Medium or Slow EMAs, it may indicate a bullish trend, and vice versa for bearish trends. Supertrend: Works as a trend filter. You can use it to identify overall market conditions: When the Supertrend is green, it indicates an uptrend. When the Supertrend is red, it indicates a downtrend. Combination: The EMAs help you confirm the trend, and the Supertrend can act as a filter or confirmation tool for your entries and exits. Potential Strategy Idea: Long Entry: When the Fast EMA crosses above the Medium EMA, and the Supertrend is green. Short Entry: When the Fast EMA crosses below the Medium EMA, and the Supertrend is red. Exit: You can use either the Supertrend turning from green to red (for long exits) or vice versa.

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Moving Average Candles **Moving Average Candles — MA-Based Smoothed Candlestick Overlay** This script replaces traditional price candles with smoothed versions calculated using various types of moving averages. Instead of plotting raw price data, each OHLC component (Open, High, Low, Close) is independently smoothed using your selected moving average method. --- ### 📌 Features: - Choose from 13 MA types: `SMA`, `EMA`, `RMA`, `WMA`, `VWMA`, `HMA`, `T3`, `DEMA`, `TEMA`, `KAMA`, `ZLEMA`, `McGinley`, `EPMA` - Fully configurable moving average length (1–1000) - Color-coded candles based on smoothed Open vs Close - Works directly on price charts as an overlay --- ### 🎯 Use Cases: - Visualize smoothed market structure more clearly - Reduce noise in price action for better trend analysis - Combine with other indicators or strategies for confluence --- > ⚠️ **Note:** Since all OHLC values are based on moving averages, these candles do **not** represent actual market trades. Use them for trend and structure analysis, not trade entries based on precise levels. --- *Created to support traders seeking a cleaner visual representation of price dynamics.*

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Adaptive Dual MA Trend Filter Adaptive Dual MA Trend Filter is a versatile Pine Script™ indicator that delivers clear, reliable trend signals using customizable moving averages: Dual‑Stage Filtering – Apply any traditional MA (SMA, EMA, VWMA, HMA, RMA, TEMA, DEMA, FRAMA, TRIMA) or advanced smoothing (ALMA, T3) as your “main” and “filter” MAs. The filter MA is double‑smoothed for noise suppression, then converted into a robust “double‑filtered” baseline. Flexible Inputs – Select lengths, sources (close, high, low, hl2), offsets, sigma, and volume factors to tailor the responsiveness and smoothness to your favorite timeframe or asset class. Intuitive Signals – The script detects confirmed bullish (green) and bearish (red) trend shifts as: Circle marker on the MA line Triangle arrows below/above bars Full candles and MA line colored by current trend Clean Overlay – Works directly on your price chart, with optional semi‑transparent fills for extra visual clarity. Theme Support – Choose from Vibrant, Pastel, Neon, Classic, Monochrome, Solarized, or Material palettes for seamless chart styling. Ideal for swing traders and intraday scalpers alike, Multi‑Source Double‑Filter Trend offers both “set‑and‑forget” simplicity and deep customization for power users. Usage Add to chart → Inputs → tweak MA types/lengths Watch for color changes and markers Combine with volume or momentum filters for entry confirmation Enjoy clearer trend identification and smoother trade signals! Disclaimer This script is for educational and informational purposes only. Not financial advice. Use at your own risk.

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Velez Price Action Signals (with 20 & 200 SMA)Velez Price Action Signals – With 20 & 200 SMA Overlay This PulseWire Pine Script is a clean and powerful reversal signal tool inspired by Oliver Velez’s price action philosophy, enhanced with trend context via two Simple Moving Averages. 🔍 Signal Logic Buy Signal: Current candle sweeps below the previous 5-bar low (liquidity grab). Candle is bullish (close > open). The lower wick is significantly larger than the body (e.g. ratio > 1.5). Sell Signal: Current candle sweeps above the previous 5-bar high. Candle is bearish (close < open). The upper wick is significantly larger than the body. Signals appear as BUY/SELL labels on the chart (non-repainting).

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MA Dispersion+MA Dispersion+ — read the “breathing space” between your moving-averages Get instant feedback on trend strength, volatility expansion and mean-reversion — across any timeframe. MA Dispersion+ turns the humble moving-average stack into a single, easy-to-read oscillator that tells you at a glance whether price is coiling or fanning out. 🧩 What it does Plugs into your favourite MA setup • Pick the classic 5 / 20 / 50 / 200 lengths or disable any combination with one click. • Choose the MA engine you trust — SMA, EMA, RMA, VWMA or WMA. • Works on any timeframe thanks to PulseWire’s security() engine. Measures “spread” For every bar it calculates the absolute distance of each selected MA from their average. The tighter the stack, the lower the value; the wider the fan, the higher the value. Adds professional-grade controls • Weighting — let short-term MAs dominate (Inverse Length), keep everything equal, or dial in your own custom weights. • Normalisation — convert the raw distance into a percentage of price, ATR multiples, or scale by the MAs’ own mean so you can compare symbols of any price or volatility. 🔍 How traders use it Trend confirmation – rising dispersion while price breaks out = momentum is genuine. Volatility squeeze – dispersion parking near zero warns that a big move is loading. Multi-TF outlook – drop one pane per timeframe (e.g. 5 m, 1 h, 1 D) and see which layer of the market is driving. Mean-reversion plays – spikes that fade quickly often coincide with exhaustion and snap-backs. ⚙️ Quick-start Add MA Dispersion+ to your chart. Set the pane’s timeframe in the first input. Tick the MA lengths you actually use. (Optional) Pick a weighting scheme and a normaliser. Repeat the indicator for as many timeframes as you like — each instance keeps its own settings. ✨ Why you’ll love it Zero clutter – one orange line tells you what four separate MAs whisper. Configurable yet bullet-proof – all lengths are hard-coded constants, so Pine never complains. Context aware – normalisation lets you compare BTC’s $60 000 chaos with EURUSD’s four--decimals calm. Lightweight – no labels, no drawings, no background processing — perfect for mobile and multi-pane layouts. Give MA Dispersion+ a try and let your charts breathe — you’ll never look at moving-average ribbons the same way again. Happy trading!

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CAN INDICATOR CAN Moving Averages Indicator - Feature Guide 1. Multiple Moving Averages (20 MAs) - Supports up to 20 individual moving averages - Each MA can be independently configured: - Enable/Disable toggle - Length (period) setting - Type selection (SMA, EMA, DEMA, VWMA, RMA, WMA) - Color customization - Individual timeframe settings when global timeframe is disabled Pre-configured MA Settings: 1. MA1-8: SMA type - Lengths: 20, 50, 100, 200, 365, 489, 600, 1460 2. MA9-20: EMA type - Lengths: 30, 60, 120, 240, 300, 400, 500, 700, 800, 900, 1000, 2000 2. Global Timeframe Settings Location: Global Settings group Features: - Use Global Timeframe: Toggle to use one timeframe for all MAs - Global Timeframe: Select the timeframe to apply globally 3. Label Display Options Location: Main Inputs section Controls: - Show MA Type: Display MA type (SMA, EMA, etc.) - Show MA Length: Display period length - Show Resolution: Display timeframe - Label Offset: Adjust label position 4. Cross Alerts System Location: Cross Alerts group Features: 1. Price Crosses: - Alerts when price crosses any selected MA - Select MA to monitor (1-20) - Triggers on crossover/crossunder 2. MA Crosses: - Alerts when one MA crosses another - Select fast MA (1-20) - Select slow MA (1-20) - Triggers on crossover/crossunder 5. Relative Strength (RS) Analysis Location: Relative Strength group Features: - Select any MA to monitor (1-20) - Compares MA to its own average - Adjustable RS Length (default 14) - Visual feedback via background color: - Green: MA above its average (uptrend) - Red: MA below its average (downtrend) - Customizable colors and transparency 6. Moving Average Types Available 1. **SMA** (Simple Moving Average) - Equal weight to all prices 2. **EMA** (Exponential Moving Average) - More weight to recent prices 3. **DEMA** (Double Exponential Moving Average) - Reduced lag compared to EMA 4. **VWMA** (Volume Weighted Moving Average) - Incorporates volume data 5. **RMA** (Running Moving Average) - Smoother than EMA 6. **WMA** (Weighted Moving Average) - Linear weight distribution Usage Tips 1. **For Trend Following:** - Enable longer-period MAs (MA4-MA8) - Use cross alerts between long-term MAs - Monitor RS for trend strength 2. **For Short-term Trading:** - Focus on shorter-period MAs (MA1-MA3, MA9-MA11) - Enable price cross alerts - Use multiple timeframe analysis 3. **For Multiple Timeframe Analysis:** - Disable global timeframe - Set different timeframes for each MA - Compare MA relationships across timeframes 4. **For Performance:** - Disable unused MAs - Limit active alerts to necessary pairs - Use RS selectively on key MAs

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Multi-Symbol Trend Dashboard Multi-Symbol Trend Dashboard - MA Cross Trend Monitor Short Description A customizable dashboard that displays trend direction across multiple symbols and timeframes using moving average crossovers. Full Description Overview This Multi-Symbol Trend Dashboard allows you to monitor trend direction across 7 different symbols and 5 timeframes simultaneously in a single view. The dashboard uses moving average crossovers to determine trend direction, displaying bullish trends in green and bearish trends in red. Key Features Multi-Symbol Monitoring : Track up to 7 different trading instruments at once Multi-Timeframe Analysis: View 5 different timeframes simultaneously for each instrument Customizable Moving Averages: Choose between SMA, EMA, or WMA with adjustable periods Visual Clarity: Color-coded cells provide immediate trend identification Flexible Positioning: Place the dashboard anywhere on your chart Customizable Appearance: Adjust sizes, colors, and text formatting How It Works The dashboard calculates a fast MA and slow MA for each symbol-timeframe combination. When the fast MA is above the slow MA, the cell shows green (bullish). When the fast MA is below the slow MA, the cell shows red (bearish). Use Cases Get a bird's-eye view of market trends across multiple instruments Identify potential trading opportunities where multiple timeframes align Monitor your watchlist without switching between charts Spot divergences between related instruments Track market breadth across sectors or related instruments Notes and Limitations Limited to 7 symbols and 5 timeframes due to PulseWire's security request limits Uses simple MA crossover as trend determination method Dashboard is most effective when displayed on a dedicated chart Performance may vary on lower-end devices due to multiple security requests Settings Explanation MA Settings: Configure the periods and types of moving averages Display Settings: Adjust dashboard positioning and visual elements Trading Instruments: Select which symbols to monitor (defaults to major forex pairs) Timeframes: Choose which timeframes to display (default: M15, H1, H4, D1, W1) Colors: Customize the color scheme for bullish/bearish indications and headers This dashboard provides a straightforward way to maintain situational awareness across multiple markets and timeframes, helping traders identify potential setups and market conditions at a glance.

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by CognitiveAlpha

Moving Average Toolkit Moving Average Toolkit - Advanced MA Analysis with Flexible Source Input A powerful and versatile moving average indicator designed for maximum flexibility. Its unique source input feature allows you to analyze moving averages of ANY indicator or price data, making it perfect for creating custom combinations with RSI, Volume, OBV, or any other technical indicator. Key Features: • Universal Source Input: - Analyze moving averages of any data: Price, Volume, RSI, MACD, Custom Indicators - Perfect for creating advanced technical setups - Identify trends in any technical data • 13 Moving Average Types: - Traditional: SMA, EMA, WMA, RMA, VWMA - Advanced: HMA, T3, DEMA, TEMA, KAMA, ZLEMA, McGinley, EPMA • Dual MA System: - Compare two different moving averages - Independent settings for each MA - Perfect for multiple timeframe analysis • Visual Offset Analysis: - Dynamic color changes based on momentum - Fill between current and offset values - Clear visualization of trend strength Usage Examples: • Price Trend: Traditional MA analysis using price data • Volume Trend: Apply MA to volume for volume trend analysis • RSI Trend: Smooth RSI movements for clearer signals • Custom: Apply to any indicator output for unique insights Settings: • Fully customizable colors for bull/bear conditions • Adjustable offset periods • Independent length settings • Optional second MA for comparison Perfect for: • Advanced technical analysts • Multi-indicator strategy developers • Custom indicator creators • Traders seeking flexible analysis tools This versatile toolkit goes beyond traditional moving averages by allowing you to apply sophisticated MA analysis to any technical data, creating endless possibilities for custom technical analysis strategies.

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AllMA Trend Radar [trade_lexx]📈 AllMA Trend Radar is your universal trend analysis tool! 📊 What is AllMA Trend Radar? AllMA Trend Radar is a powerful indicator that uses various types of Moving Averages (MA) to analyze trends and generate trading signals. The indicator allows you to choose from more than 30 different types of moving averages and adjust their parameters to suit your trading style. 💡 The main components of the indicator 📈 Fast and slow moving averages The indicator uses two main lines: - Fast MA (blue line): reacts faster to price changes - Slow MA (red line): smoother, reflects a long-term trend The combined use of fast and slow MA allows you to get trend confirmation and entry/exit points from the market. 🔄 Wide range of moving averages There are more than 30 types of moving averages at your disposal: - SMA: Simple moving average - EMA: Exponential moving average - WMA: Weighted moving average - DEMA: double exponential MA - TEMA: triple exponential MA - HMA: Hull Moving Average - LSMA: Moving average of least squares - JMA: Eureka Moving Average - ALMA: Arnaud Legoux Moving Average - ZLEMA: moving average with zero delay - And many others! 🔍 Indicator signals 1️⃣ Fast 🆚 Slow MA signals (intersection and ratio of fast and slow MA) Up/Down signals (intersection) - Buy (Up) signal: - What happens: the fast MA crosses the slow MA from bottom to top - What does the green triangle with the "Buy" label under the candle look like - What does it mean: a likely upward trend reversal or an uptrend strengthening - Sell signal (Down): - What happens: the fast MA crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: a likely downtrend reversal or an increase in the downtrend Greater/Less signals (ratio) - Buy signal (Greater): - What happens: the fast MA becomes higher than the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the formation or confirmation of an uptrend - Sell signal (Less): - What happens: the fast MA becomes lower than the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the formation or confirmation of a downtrend 2️⃣ Signals ⚡️ Fast MA (fast MA and price) Up/Down signals (intersection) - Buy signal (Up Fast): - What happens: the price crosses the fast MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a short-term price growth signal - Sell signal (Down Fast): - What happens: the price crosses the fast MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a short-term price drop signal Greater/Less signals (ratio) - Buy signal (Greater Fast): - What happens: the price is getting higher than the fast MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the fast MA, which indicates an upward movement - Sell signal (Less Fast): - What happens: the price is getting lower than the fast MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the fast MA, which indicates a downward movement 3️⃣ Signals 🐢 Slow MA (slow MA and price) Up/Down signals (intersection) - Buy signal (Up Slow): - What happens: the price crosses the slow MA from bottom to top - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: a potential medium-term upward trend reversal - Sell signal (Down Slow): - What happens: the price crosses the slow MA from top to bottom - What does it look like: a red triangle with a "Sell" label above the candle - What does it mean: a potential medium-term downward trend reversal Greater/Less signals (ratio) - Buy signal (Greater Slow): - What happens: the price is getting above the slow MA - What does it look like: a green triangle with a "Buy" label under the candle - What does it mean: the price is above the slow MA, which indicates a strong upward movement - Sell signal (Less Slow): - What is happening: the price is getting below the slow MA - What does it look like: a red triangle with a "Sell" mark above the candle - What does it mean: the price is under the slow MA, which indicates a strong downward movement 🛠 Filters to filter out false signals 1️⃣ Minimum distance between the signals - What it does: sets the minimum number of candles between signals of the same type - Why it is needed: it prevents the appearance of too frequent signals, especially during periods of high volatility - How to set it up: Set a different value for each signal type (default: 3-5 bars) - Example: if the value is 3 for Up/Down signals, after the buy signal appears, the next buy signal may appear no earlier than 3 bars later 2️⃣ Advanced indicator filters 🔍 RSI Filter - What it does: Checks the Relative Strength Index (RSI) value before generating a signal - Why it is needed: it helps to avoid countertrend entries and catch reversal points - How to set up: - For buy signals (🔋 Buy): set the RSI range, usually in the oversold zone (for example, 1-30) - For sell signals (🪫 Sell): set the RSI range, usually in the overbought zone (for example, 70-100) - Example: if the RSI = 25 (in the range 1-30), the buy signal will be confirmed 📊 MFI Filter (Cash Flow Index) - What it does: analyzes volumes and the direction of price movement - Why it is needed: confirms signals with data on the activity of cash flows - How to set up: - For buy signals (🔋 Buy): set the MFI range in the oversold zone (for example, 1-25) - For sell signals (🪫 Sell): set the MFI range in the overbought zone (for example, 75-100) - Example: if MFI = 80 (in the range of 75-100), the sell signal will be confirmed 📈 Stochastic Filter - What it does: analyzes the position of the current price relative to the price range - Why it is needed: confirms signals based on overbought/oversold conditions - How to configure: - You can configure the K Length, D Length and Smoothing parameters - For buy signals (🔋 Buy): set the stochastic range in the oversold zone (for example, 1-20) - For sell signals (🪫 Sell): set the stochastic range in the overbought zone (for example, 80-100) - Example: if stochastic = 15 (is in the range of 1-20), the buy signal will be confirmed 🔌 Connecting to trading strategies The indicator provides various connectors to connect to your trading strategies.: 1️⃣ Individual connectors for each type of signal - 🔌Fast vs Slow Up/Down MA Signal🔌: signals for the intersection of fast and slow MA - 🔌Fast vs Slow Greater/Less MA Signal🔌: signals of the ratio of fast and slow MA - 🔌Fast Up/Down MA Signal🔌: signals of the intersection of price and fast MA - 🔌Fast Greater/Less MA Signal🔌: signals of the ratio of price and fast MA - 🔌Slow Up/Down MA Signal🔌: signals of the intersection of price and slow MA - 🔌Slow Greater/Less MA Signal🔌: Price versus slow MA signals 2️⃣ Combined connectors - 🔌Combined Up/Down MA Signal🔌: combines all the crossing signals (Up/Down) - 🔌Combined Greater/Less MA Signal🔌: combines all the signals of the ratio (Greater/Less) - 🔌Combined All MA Signals🔌: combines all signals (Up/Down and Greater/Less) ❗️ All connectors return values: - 1: buy signal - -1: sell signal - 0: no signal 📚 How to start using AllMA Trend Radar 1️⃣ Selection of types of moving averages - Add an indicator to the chart - Select the type and period for the fast MA (default: DEMA with a period of 14) - Select the type and period for the slow MA (default: SMA with a period of 14) - Experiment with different types of MA to find the best combination for your trading style 2️⃣ Signal settings - Turn on the desired signal types (Up/Down, Greater/Less) - Set the minimum distance between the signals - Activate and configure the necessary filters (RSI, MFI, Stochastic) 3️⃣ Checking on historical data - Analyze how the indicator works based on historical data - Pay attention to the accuracy of the signals and the presence of false alarms - Adjust the settings if necessary 4️⃣ Introduction to the trading strategy - Decide which signals will be used to enter the position. - Determine which signals will be used to exit the position. - Connect the indicator to your trading strategy through the appropriate connectors 🌟 Practical application examples Scalping strategy - Fast MA: TEMA with a period of 8 - Slow MA: EMA with a period of 21 - Active signals: Fast MA Up/Down - Filters: RSI (range 1-40 for purchases, 60-100 for sales) - Signal spacing: 3 bars Strategy for day trading - Fast MA: TEMA with a period of 10 - Slow MA: SMA with a period of 20 - Active signals: Fast MA Up/Down and Fast vs Slow Greater/Less - Filters: MFI (range 1-25 for purchases, 75-100 for sales) - Signal spacing: 5 bars Swing Trading Strategy - Fast MA: DEMA with a period of 14 - Slow MA: VWMA with a period of 30 - Active signals: Fast vs Slow Up/Down and Slow MA Greater/Less - Filters: Stochastic (range 1-20 for purchases, 80-100 for sales) - Signal spacing: 8 bars A strategy for positional trading - Fast MA: HMA with a period of 21 - Slow MA: SMA with a period of 50 - Active signals: Slow MA Up/Down and Fast vs Slow Greater/Less - Filters: RSI and MFI at the same time - The distance between the signals: 10 bars 💡 Tips for using AllMA Trend Radar 1. Select the types of MA for market conditions: - For trending markets: DEMA, TEMA, HMA (fast MA) - For sideways markets: SMA, WMA, VWMA (smoothed MA) - For volatile markets: KAMA, AMA, VAMA (adaptive MA) 2. Combine different types of signals: - Up/Down signals work better when moving from a sideways trend to a directional one - Greater/Less signals are optimal for fixing a stable trend 3. Use filters effectively: - The RSI filter works great in trending markets - MFI filter helps to confirm the strength of volume movement - Stochastic filter works well in lateral ranges 4. Adjust the minimum distance between the signals: - Small values (2-3 bars) for short-term trading - Average values (5-8 bars) for medium-term trading - Large values (10+ bars) for long-term trading 5. Use combination connectors: - For more reliable signals, connect the indicator through the combined connectors 💰 With the AllMA Trend Radar indicator, you get a universal trend analysis tool that can be customized for any trading style and timeframe. The combination of different types of moving averages and advanced filters allows you to significantly improve the accuracy of signals and the effectiveness of your trading strategy!

Indicator

Oil/gas ratio MA Oil/Gas Ratio-Based Equivalent Price This indicator calculates the gas-equivalent price based on the current oil price and a defined oil/gas ratio. It helps identify relative overvaluation or undervaluation of natural gas compared to oil. Features: - Choose between a static or dynamic (SMA-based) oil/gas ratio - Displays the fair value of gas derived from oil prices - Works with any oil ticker symbol (e.g. BRENT, USOIL, etc.) Useful for traders analyzing intermarket relationships and looking for relative value signals between energy commodities.

Indicator

PineVersatilitiesBundle Library "PineVersatilitiesBundle" Versatilities (aka, Versatile Utilities) Pack includes: - Eighteen Price Variants bundled in a Map, - Nine Smoothing Variants bundled in a Map, - Visualisations that indicate on both - pane and chart. price_variants(lb) Computes Several different averages using current and previous OHLC values Parameters: lb (int) : - lookback distance for combining OHLC values from the past with the present Returns: Map of Eighteen Uncommon Combinations of single and two-bar OHLC averages (rounded-to-mintick) dynamic_MA(masrc, malen, lsmaoff, almasgm, almaoff, almaflr) Dynamically computes Eight different MAs and returns a Map containing Nine MAs Parameters: masrc (float) : source series to compute MA malen (simple int) : lookback distance for MA lsmaoff (simple int) : optional LSMA offset - default is 0 almasgm (simple float) : optional ALMA sigma - default is 5 almaoff (simple float) : optional ALMA offset - default is 0.5 almaflr (simple bool) : optional ALMA floor flag - default is false Returns: Map of MAs - 'ALMA', 'EMA', 'HMA', 'LSMA', 'RMA', 'SMA', 'SWMA', 'WMA', 'ALL' (rounded-to-mintick)

Library

by nArAyaNa_rAmAnuja-dAsan

Enhanced Fuzzy SMA Analyzer (Multi-Output Proxy) [FibonacciFlux]EFzSMA: Decode Trend Quality, Conviction & Risk Beyond Simple Averages Stop Relying on Lagging Averages Alone. Gain a Multi-Dimensional Edge. The Challenge: Simple Moving Averages (SMAs) tell you where the price was , but they fail to capture the true quality, conviction, and sustainability of a trend. Relying solely on price crossing an average often leads to chasing weak moves, getting caught in choppy markets, or missing critical signs of trend exhaustion. Advanced traders need a more sophisticated lens to navigate complex market dynamics. The Solution: Enhanced Fuzzy SMA Analyzer (EFzSMA) EFzSMA is engineered to address these limitations head-on. It moves beyond simple price-average comparisons by employing a sophisticated Fuzzy Inference System (FIS) that intelligently integrates multiple critical market factors: Price deviation from the SMA ( adaptively normalized for market volatility) Momentum (Rate of Change - ROC) Market Sentiment/Overheat (Relative Strength Index - RSI) Market Volatility Context (Average True Range - ATR, optional) Volume Dynamics (Volume relative to its MA, optional) Instead of just a line on a chart, EFzSMA delivers a multi-dimensional assessment designed to give you deeper insights and a quantifiable edge. Why EFzSMA? Gain Deeper Market Insights EFzSMA empowers you to make more informed decisions by providing insights that simple averages cannot: Assess True Trend Quality, Not Just Location: Is the price above the SMA simply because of a temporary spike, or is it supported by strong momentum, confirming volume, and stable volatility? EFzSMA's core fuzzyTrendScore (-1 to +1) evaluates the health of the trend, helping you distinguish robust moves from noise. Quantify Signal Conviction: How reliable is the current trend signal? The Conviction Proxy (0 to 1) measures the internal consistency among the different market factors analyzed by the FIS. High conviction suggests factors are aligned, boosting confidence in the trend signal. Low conviction warns of conflicting signals, uncertainty, or potential consolidation – acting as a powerful filter against chasing weak moves. // Simplified Concept: Conviction reflects agreement vs. conflict among fuzzy inputs bullStrength = strength_SB + strength_WB bearStrength = strength_SBe + strength_WBe dominantStrength = max(bullStrength, bearStrength) conflictingStrength = min(bullStrength, bearStrength) + strength_N convictionProxy := (dominantStrength - conflictingStrength) / (dominantStrength + conflictingStrength + 1e-10) // Modifiers (Volatility/Volume) applied... Anticipate Potential Reversals: Trends don't last forever. The Reversal Risk Proxy (0 to 1) synthesizes multiple warning signs – like extreme RSI readings, surging volatility, or diverging volume – into a single, actionable metric. High reversal risk flags conditions often associated with trend exhaustion, providing early warnings to protect profits or consider counter-trend opportunities. Adapt to Changing Market Regimes: Markets shift between high and low volatility. EFzSMA's unique Adaptive Deviation Normalization adjusts how it perceives price deviations based on recent market behavior (percentile rank). This ensures more consistent analysis whether the market is quiet or chaotic. // Core Idea: Normalize deviation by recent volatility (percentile) diff_abs_percentile = ta.percentile_linear_interpolation(abs(raw_diff), normLookback, percRank) + 1e-10 normalized_diff := raw_diff / diff_abs_percentile // Fuzzy sets for 'normalized_diff' are thus adaptive to volatility Integrate Complexity, Output Clarity: EFzSMA distills complex, multi-factor analysis into clear, interpretable outputs, helping you cut through market noise and focus on what truly matters for your decision-making process. Interpreting the Multi-Dimensional Output The true power of EFzSMA lies in analyzing its outputs together: A high Trend Score (+0.8) is significant, but its reliability is amplified by high Conviction (0.9) and low Reversal Risk (0.2) . This indicates a strong, well-supported trend. Conversely, the same high Trend Score (+0.8) coupled with low Conviction (0.3) and high Reversal Risk (0.7) signals caution – the trend might look strong superficially, but internal factors suggest weakness or impending exhaustion. Use these combined insights to: Filter Entry Signals: Require minimum Trend Score and Conviction levels. Manage Risk: Consider reducing exposure or tightening stops when Reversal Risk climbs significantly, especially if Conviction drops. Time Exits: Use rising Reversal Risk and falling Conviction as potential signals to take profits. Identify Regime Shifts: Monitor how the relationship between the outputs changes over time. Core Technology (Briefly) EFzSMA leverages a Mamdani-style Fuzzy Inference System. Crisp inputs (normalized deviation, ROC, RSI, ATR%, Vol Ratio) are mapped to linguistic fuzzy sets ("Low", "High", "Positive", etc.). A rules engine evaluates combinations (e.g., "IF Deviation is LargePositive AND Momentum is StrongPositive THEN Trend is StrongBullish"). Modifiers based on Volatility and Volume context adjust rule strengths. Finally, the system aggregates these and defuzzifies them into the Trend Score, Conviction Proxy, and Reversal Risk Proxy. The key is the system's ability to handle ambiguity and combine multiple, potentially conflicting factors in a nuanced way, much like human expert reasoning. Customization While designed with robust defaults, EFzSMA offers granular control: Adjust SMA, ROC, RSI, ATR, Volume MA lengths. Fine-tune Normalization parameters (lookback, percentile). Note: Fuzzy set definitions for deviation are tuned for the normalized range. Configure Volatility and Volume thresholds for fuzzy sets. Tuning these is crucial for specific assets/timeframes. Toggle visual elements (Proxies, BG Color, Risk Shapes, Volatility-based Transparency). Recommended Use & Caveats EFzSMA is a sophisticated analytical tool, not a standalone "buy/sell" signal generator. Use it to complement your existing strategy and analysis. Always validate signals with price action, market structure, and other confirming factors. Thorough backtesting and forward testing are essential to understand its behavior and tune parameters for your specific instruments and timeframes. Fuzzy logic parameters (membership functions, rules) are based on general heuristics and may require optimization for specific market niches. Disclaimer Trading involves substantial risk. EFzSMA is provided for informational and analytical purposes only and does not constitute financial advice. No guarantee of profit is made or implied. Past performance is not indicative of future results. Use rigorous risk management practices.

Indicator

by FibonacciFlux

EMA Clouds with Strict Buy/Sell Signals EMA Clouds with Strict Buy/Sell Signals - Precision Trading Unleashed Unlock the power of trend-following precision with the EMA Clouds with Strict Buy/Sell Signals indicator, a sophisticated tool built for traders who demand reliability and clarity in their decision-making. Inspired by the legendary Ripster EMA Clouds, this indicator takes the classic cloud concept to the next level by incorporating stricter, high-confidence signals—perfect for navigating the markets on 15-minute or higher timeframes. Why You’ll Want This on Your Chart: Dual EMA Clouds for Crystal-Clear Trends: Watch as two dynamic clouds—formed by carefully paired Exponential Moving Averages (8/21 and 34/50)—paint a vivid picture of market momentum. The green short-term cloud and red long-term cloud provide an intuitive, at-a-glance view of trend direction and strength. Stricter Signals, Fewer False Moves: Tired of chasing weak signals? This indicator only triggers buy and sell signals when the stars align: a cloud crossover (short-term crossing above or below long-term) and price confirmation above or below both clouds. The result? Fewer trades, higher conviction, and a cleaner chart. Customizable Timeframe Power: Whether you’re a scalper on the 15-minute chart or a swing trader on the daily, tailor the clouds to your preferred higher timeframe (15min, 30min, 1hr, 4hr, or daily) for seamless integration into your strategy. Visual Mastery Meets Actionable Alerts: Green buy triangles below the bars and red sell triangles above them make spotting opportunities effortless. Pair this with built-in alerts, and you’ll never miss a high-probability trade again. How It Works: Buy Signal: Triggers when the short-term cloud crosses above the long-term cloud and the price surges above both, signaling a robust bullish breakout. Sell Signal: Activates when the short-term cloud dips below the long-term cloud and the price falls beneath both, confirming bearish dominance. Cloud Visualization: The green cloud (8/21 EMA) tracks fast-moving trends, while the red cloud (34/50 EMA) anchors the broader market direction—together, they filter noise and spotlight tradable moves. Why Traders Will Love It: Designed for those who value precision over guesswork, this indicator cuts through market clutter to deliver signals you can trust. Whether you’re trading stocks, forex, crypto, or futures, its adaptability and strict logic make it a must-have tool for serious traders. Customize the EMA lengths, tweak the timeframe, and watch your edge sharpen. Add EMA Clouds with Strict Buy/Sell Signals to your chart today and experience the confidence of trading with a tool that’s as disciplined as you are. Your next big move is waiting—don’t let it slip away.

Indicator

RSI + Stochastic + WMA Strategy This script is designed for PulseWire and serves as a trading strategy (not just a visual indicator). It's intended for backtesting, strategy optimization, or live trading signal generation using a combination of popular technical indicators. 📊 Indicators Used in the Strategy: Indicator Description RSI (Relative Strength Index) Measures momentum; identifies overbought (>70) or oversold (<30) conditions. Stochastic Oscillator (%K & %D) Detects momentum reversal points via crossovers. Useful for timing entries. WMA (Weighted Moving Average) Identifies the trend direction (used as a trend filter). 📈 Trading Logic / Strategy Rules: 📌 Long Entry Condition (Buy Signal): All 3 conditions must be true: RSI is Oversold → RSI < 30 Stochastic Crossover Upward → %K crosses above %D Price is above WMA → Confirms uptrend direction 👉 Interpretation: Market was oversold, momentum is turning up, and price confirms uptrend — bullish entry. 📌 Short Entry Condition (Sell Signal): All 3 conditions must be true: RSI is Overbought → RSI > 70 Stochastic Crossover Downward → %K crosses below %D Price is below WMA → Confirms downtrend direction 👉 Interpretation: Market is overbought, momentum is turning down, and price confirms downtrend — bearish entry. 🔄 Strategy Execution (Backtesting Logic): The script uses: pinescript Copy Edit strategy.entry("LONG", strategy.long) strategy.entry("SHORT", strategy.short) These are Pine Script functions to place buy and sell orders automatically when the above conditions are met. This allows you to: Backtest the strategy Measure win/loss ratio, drawdown, and profitability Optimize indicator settings using PulseWire Strategy Tester 📊 Visual Aids (Charts): Plots WMA Line: Orange line for trend direction Overbought/Oversold Zones: Horizontal lines at 70 (red) and 30 (green) for RSI visualization ⚡ Strategy Type Summary: Category Setting Strategy Type Momentum Reversal + Trend Filter Timeframe Flexible (Works best on 1H, 4H, Daily) Trading Style Swing/Intraday Risk Profile Medium to High (due to momentum triggers) Uses Leverage Possible (adjust risk accordingly)

Strategy

by RevoTheTrader

Color Themed Guppy Multiple Moving Average ========== TLDR ========== The "Color Themed Guppy Multiple Moving Average" plots a group of 6 Moving Averages on your chart with a selection of color themes to automatically style the different length Moving Average lines. As someone who struggles with screens and colors on a busy chart, this indicator has helped me a lot in quickly identifying which Moving Average price is respecting the most - giving me better signals for trade entries and trend loss. ========== Key Features and Advantages ========== - Show different length Moving Averages with a single indicator - quickly make your chart more readable with 12 different color themes - The themes will color the Moving Averages with a gradient (light - dark), with a lighter color indicating a shorter length or 'faster' Moving Average - Select the type of Moving Average you would like to use ========== Use Cases ========== Identify Specific Length Moving Averages That are Acting as Support or Resistance: Having each Moving Average coloured by a theme makes it easier to track each individual line with your eyes, making it easier to quickly find the Moving Averages that price is respecting the most for a given asset and/or trend. Get Bias Quickly: When all 6 of the Moving Averages are 'stacked' on top of each other in order, and all are angled either up or down, it can provide a useful bias for the market on your timeframe. For example, If the fastest (smallest length) Moving Averages are angled up and sitting above the slower (largest length) Moving Averages, it may indicate that a 'long' bias would be preferable for any trades. Having a color gradient from the themes makes it much easier to see when the Moving Average lines are "stacked" in order. Identify Turning Points: When the faster (smallest length) Moving Averages start to cross over the slower (largest length) Moving Averages, it may indicate a potential price/trend reversal. Again, having a color gradient from the themes makes it much easier to spot this ========== Theme Options ========== - Red - Orange - Yellow - Green - Teal - Light Blue - Blue - Violet - Purple - Pink - Rainbow - Solid - Rainbow - Light If you'd like other themes added feel free to request them in the comments and I can try to add more.

Indicator

by chriselderxyz

Breakouts With Timefilter Strategy [LuciTech]This strategy captures breakout opportunities using pivot high/low breakouts while managing risk through dynamic stop-loss placement and position sizing. It includes a time filter to limit trades to specific sessions. How It Works A long trade is triggered when price closes above a pivot high, and a short trade when price closes below a pivot low. Stop-loss can be set using ATR, prior candle high/low, or a fixed point value. Take-profit is based on a risk-reward multiplier. Position size adjusts based on the percentage of equity risked. Breakout signals are marked with triangles, and entry, stop-loss, and take-profit levels are plotted. moving average filter: Bullish breakouts only trigger above the MA, bearish breakouts below. The time filter shades the background during active trading hours. Customization: Adjustable pivot length for breakout sensitivity. Risk settings: percentage risked, risk-reward ratio, and stop-loss type. ATR settings: length, smoothing method (RMA, SMA, EMA, WMA). Moving average filter (SMA, EMA, WMA, VWMA, HMA) to confirm breakouts.

Strategy

In-depth global business and economic analysis Comprehensive trading education and market insights