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Moving Averages

Ultimate Multi EMA🔹 Ultimate Multi EMA + HTF Bias Line This script plots four customizable EMAs (8, 21, 50, 200) with flexible colors and line widths. It also adds an automatic Higher Timeframe (HTF) EMA line: On the Daily timeframe: shows the Weekly EMA. On lower timeframes (like 1-minute): shows the Daily EMA. The HTF EMA helps to easily identify market bias. All colors and thicknesses can be adjusted in the settings. Default settings: EMA 8 (green) EMA 21 (gold) EMA 50 (blue) EMA 200 (black) HTF EMA (lilac)
Pine Script® indicator
by Mrjm1
Smart Adaptive MACDAn advanced MACD variant that dynamically adapts to market volatility using ATR-based scaling. Key Features: Volatility-sensitive MACD and Signal lengths Optional smoothed MACD line Dynamic histogram heatmap (strong vs. weak momentum) Built-in Regular and Hidden Divergence detection Clear visual signals via solid (regular) and dashed (hidden) divergence lines What makes this different: Unlike traditional MACD indicators with fixed-length settings, this version adapts in real time to changing volatility conditions. It shortens during high-momentum environments for faster reaction, and lengthens during low-volatility phases to reduce noise. This allows better alignment with market behavior and cleaner momentum signals. Divergence Detection – How It Works The Smart Adaptive MACD detects both regular and hidden divergences by comparing price action with the smoothed MACD line. It uses recent pivot highs and lows to evaluate divergence and draws lines on the chart when conditions are met. Regular Divergence Detection This type of divergence signals potential reversals. It occurs when the price moves in one direction while the MACD moves in the opposite. Bullish Regular Divergence: Price makes lower lows, but MACD makes higher lows. Result: A solid green line is plotted beneath the MACD curve. Bearish Regular Divergence: Price makes higher highs, but MACD makes lower highs. Result: A solid red line is plotted above the MACD curve. Hidden Divergence Detection This type of divergence signals trend continuation. It occurs when price pulls back slightly, but the MACD shows deeper movement in the opposite direction. Bullish Hidden Divergence: Price makes higher lows, but MACD makes lower lows. Result: A dashed green line is plotted below the MACD curve. Bearish Hidden Divergence: Price makes lower highs, but MACD makes higher highs. Result: A dashed red line is plotted above the MACD curve. How to Use: This tool is best used alongside price structure, key support/resistance levels, or as a secondary confirmation for your trend or reversal strategy. It is designed to enhance your interpretation of market momentum and divergence without needing extra chart clutter. Disclaimer: This script is provided for educational and informational purposes only. It is not intended as financial advice or a recommendation to buy or sell any asset. Always conduct your own research and consult with a licensed financial advisor before making trading decisions. Use at your own risk. License: This script is published under the Mozilla Public License 2.0 and is fully open-source. Built by AresIQ | 2025
Pine Script® indicator
by AresIQ
Mul EMA [TsixJnineY]The "Four EMA Indicator with Toggle" is a customizable technical analysis tool for TradingView that displays up to four Exponential Moving Averages (EMAs) on the chart. Users can adjust the period length for each EMA (default: 5, 10, 50, 200) and toggle their visibility via checkboxes. The indicator supports a selectable data source (default: close price) and offset for flexible chart alignment. Ideal for trend analysis and identifying trading signals through EMA crossovers, it offers a clean and user-friendly interface for traders.
Pine Script® indicator
by TsixJnineY
Color Changing MAs📌 Indicator: Color Changing Moving Averages This script plots up to four customizable moving averages, each with dynamic color changes based on price positioning and optional RSI filtering. 🧩 Key Features: ✅ 4 independent moving averages (SMA or EMA) ✅ Custom inputs for: Length Source (e.g. close, OHLC4, etc.) Offset Bullish/Bearish color ✅ Toggle visibility for each MA ✅ Global RSI filter to enhance trend signals: User-defined RSI length Adjustable Bullish/Bearish thresholds Universal neutral color for flat/unclear momentum ✅ Global timeframe control — all MAs and RSI are calculated on a single timeframe of your choice (e.g. D, W, M) 🎯 Color Logic: Bullish color = MA is below both open and close, and RSI is above threshold Bearish color = MA is above both open and close, and RSI is below threshold Neutral gray = MA is trending but RSI contradicts the move (filtered out) 🛠️ Use Cases: Spot trend changes with visual clarity Identify pullbacks within strong RSI-confirmed trends Apply higher-timeframe signals while on lower-timeframe charts ⚠️ Notes: This version uses request.security() to support global timeframe selection — higher timeframes on lower TF charts will display step-like behavior (as per TradingView architecture). No smoothing/interpolation is applied to preserve raw signal accuracy.
Pine Script® indicator
by dr_anjo_phd
2 MA + Strat Candle ColorsThe "2 MA + Strat Candle Colors" indicator combines two customizable moving averages (MAs) with a strategic candle-coloring system to help traders analyze trends and price action. Here’s a breakdown of its features: 1. Two Moving Averages (MAs): MA 1 & MA 2 Settings: Users can select between 7 MA types for each line: SMA, EMA, WMA, HMA, VWMA, LSMA, SMMA. Adjustable periods and price sources (e.g., close, open) for both MAs. Default settings: MA 1 = 9-period EMA, MA 2 = 20-period EMA. Plotting: MA 1 is blue, MA 2 is red (colors customizable via inputs). Crossovers between the MAs can signal trend changes. 2. Strategic Candle Coloring: Candles are colored based on their relationship to the previous candle: Green (Bullish): "Two-Up Bar" – current high > prior high, and low does not break prior low. Red (Bearish): "Two-Down Bar" – current low < prior low, and high does not break prior high. Purple (Outside Bar): "Three Bar" – current candle engulfs the prior candle (higher high and lower low). Yellow (Inside Bar): "One Bar" – current candle is contained within the prior candle’s range. Candle coloring is based on:
Pine Script® indicator
by CSP_22
Moving Average Crossover by mashrur 🔵 How This Indicator Works: Short MA (9-period Simple Moving Average) Long MA (21-period Simple Moving Average) Signals: Buy when Short MA crosses above Long MA. Sell when Short MA crosses below Long MA. On the chart: Green up labels = Buy signals 🚀 Red down labels = Sell signals 🔻 ✍️ How to Take an Entry: Wait for a Signal Look for a green up label = Buy signal. Look for a red down label = Sell signal. Enter the Trade If Buy signal appears → Open a Buy (Long) trade. If Sell signal appears → Open a Sell (Short) trade. Set Stop Loss (SL) and Take Profit (TP) (important!) Stop Loss: For Buy, place SL below the recent swing low. For Sell, place SL above the recent swing high. Take Profit: You can use a Risk:Reward like 1:2 (risking 10 pips to make 20 pips). Or exit when the opposite signal comes (if another crossover happens). Optional: Add Confirmation You could add extra filters like: Only take Buys if the market is in an overall uptrend (higher highs, higher lows). Only take Sells in downtrends. 🧠 Important Tips: Don't enter late! → Try to enter right when the signal appears. Be careful during sideways (choppy) markets! → MA crossovers can give false signals when the market is flat. Use alerts → Your code already has alerts ready! Set them up on TradingView so you don't miss entries. 📈 Example (Visual): Imagine the chart shows: Price is going up. The blue (Short MA) crosses above the red (Long MA). A green label appears under the candle. 👉 You would enter a Buy right at that candle close. 👉 Stop Loss: just under the recent low. 👉 Take Profit: 2x your risk or at next resistance.
Pine Script® indicator
by syedachy
Moving Average ToolkitMoving 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.
Pine Script® indicator
by aleskxyz
BTC Price-Volume Efficiency Z-Score (PVER-Z)Overview: This PVER-Z Score measures Bitcoin’s price movement efficiency relative to trading volume, normalized using a Z-Score over a long-term 200-day period. It highlights statistically rare inefficiencies, helping investors spot extreme accumulation and distribution zones for systematic SDCA strategies. Concept: - Measures how efficiently price has moved relative to the volume that supported it over a long historical window (Default 200 days) but can be adjustable. - It compares cumulative price changes vs cumulative volume flow. - Then normalizes those inefficiencies using Z-Score statistics. How It Works: 1. Calculates the absolute daily price change divided by volume (price-volume efficiency ratio). 2. Applies EMA smoothing to remove noisy fluctuations. 3. Normalizes the result into a Z-Score to detect statistically significant outliers. 4. Plots dynamic heatmap colors as the efficiency score moves through different deviation zones. 5. Background fills appear when the Z-Score moves beyond ±2 to ±3 SD, signaling rare macro opportunities. Why is Bitcoin price rising while PVER-Z is falling toward green zone? 1. PVER-Z is not just "price" — it's price change relative to volume. PVER-Z measures how efficient the price movement is relative to volume. It's not "price going up" or "price going down" directly. It's how unusual or inefficient the price versus volume relationship is, compared to its historical average. 2. A rising Bitcoin price + weak efficiency = PVER-Z falls. If Bitcoin rises but volume is super strong (normal buying volume), no problem, the PVER-Z stays normal. If Bitcoin rises but with very weak volume support, PVER-Z falls. ***Usage Notes***: - Best used on the daily timeframe or higher. - When the Z-Score enters the green zone (-2 to -3 SD), it signals a historically rare accumulation zone — favoring long-term buying for SDCA. - When the Z-Score enters the red zone (+2 to +3 SD), it signals overextended distribution — caution recommended. - Designed strictly for mean-reversion analysis, no trend-following signals. - The red zone on a proper Z chart would be -2SD to -3SD and +2SD to +3SD for the green zone. At the time of publishing I do not know how to adjust the values on the indicator itself. The red zone at -2SD is actually +2 Standard Deviations on a Z Score SD Chart. (overbought zone). - Your green zone at +2SD is actually -2SD Standard Deviations (oversold zone). - Built manually with no reliance on built-in indicators - Designed for Bitcoin on the 1D, 3D, or Weekly timeframes. NOT for intraday trading. - DO NOT SOELY RELY ON THIS INDICATOR FOR YOUR LONG TERM VALUATION. I AM NOT RESPONSIBLE FOR YOUR FINANICAL ASSETS.
Pine Script® indicator
by mrlonglaner
MSS + Confirmation + RSI + Strong Candle FilterMSS Strong Confirmed Indicator This indicator is designed to detect only the strongest entry opportunities based on strict conditions: ✅ MSS (Market Structure Shift) detection. ✅ Waiting for a strong confirmation candle (body > 60% of total candle length). ✅ RSI filter (above 50 for Long, below 50 for Short). ✅ AlphaTrend trend confirmation. ✅ Automatic drawing of Take Profit (TP) and Stop Loss (SL) levels. Only rare, high-probability entries are shown — no noise, no false signals. Ideal for traders who prioritize accuracy and quality over quantity. Script created and designed by Taha Shalata 💎🚀
Pine Script® indicator
by tahashalata9
Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility. It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods. 🧠 What it does: This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on: Trend Strength (via Perry Kaufman's Efficiency Ratio) Market Volatility (via Tushar Chande's Volatility Ratio) It reacts faster when the market is trending strongly and/or highly volatile, and it smooths out and slows down when the market is choppy or calm. 🔍 How it works (step-by-step): 1. User Inputs: length: (default 14) How many bars to look back for calculations. fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1)) slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1)) (These are used to control how fast/slow the KAMA can react.) 2. Calculate Trendiness — Kaufman Efficiency Ratio (ER): Net Change = Absolute difference between current close and close from length bars ago. Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window. Efficiency Ratio (ER) = Net Change divided by Sum of Changes. ✅ If ER is close to 1 → Smooth, trending market. ✅ If ER is close to 0 → Choppy, sideways market. 3. Calculate Bumpiness — Volatility Ratio (VR): Short-Term Volatility = Standard deviation of close over length. Long-Term Volatility = Standard deviation of close over length * 2. Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility. ✅ If VR is >1 → Market is becoming more volatile recently. ✅ If VR is <1 → Market is calming down. 4. Create the Hybrid Alpha: Multiply ER × VR. Then square the result (math.pow(..., 2)). This hybrid alpha decides how aggressive the MA should be based on both trend and volatility. If ER and VR are both strong → big alpha → fast movement. If ER and/or VR are weak → small alpha → slow movement. 5. Calculate the Final Adaptive Smoothing Constant (hybridSC): hybridSC = slowSC + hybridAlpha × (fastSC - slowSC) This smoothly interpolates between the slowest and fastest smoothing depending on market conditions. 6. Calculate and Plot the Adaptive MA: The moving average is manually calculated: hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA ) It behaves like an EMA but with dynamic smoothing, not a fixed alpha. ✅ If hybridSC is high → MA hugs the price closely. ✅ If hybridSC is low → MA stays smooth and resists noise. Finally, it plots this Adaptive MA on the chart in blue color. 📊 Visual Summary Market Type What Happens to GAMA Trending hard + volatile Follows price quickly Trending hard + calm Follows steadily but carefully Sideways + volatile Reacts carefully (won't chase noise) Sideways + calm Smooths heavily (avoids fakeouts) ✨ Main Strengths: Adapts automatically without you tuning settings manually every time market changes. Responds smartly to both trend quality (ER) and market energy (VR). Reduces lag during real moves. Filters out false signals during choppy mess. 🧪 Key Innovation compared to normal MAs: Traditional MA Gabriel's Adaptive MA Same smoothing every bar Dynamic smoothing every bar Slow during fast moves Adapts fast during real moves No understanding of volatility or trendiness Full market sensitivity ⚡ **Simple One-Line Description:** "Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
Pine Script® indicator
by OneWallStreetQuant
3
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts. Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals. This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class. It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals. This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below. Here’s how the indicator works at a high level: EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction. Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship. Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike. Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average. Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time. Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips). Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown. Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing. Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart. Important Notes to Remember: The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values. This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement. How To Use The Indicator: You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades. The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa. This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool. The Display Table: The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal. 1. Z-Score What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA. Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of: 0 = perfectly average > +2 = very overbought < -2 = very oversold How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below) 2. Z-Score Momentum What it shows: The rate of change (ROC) of the Z-score: Zmomentum=Zt − Zt − 1 Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean. How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes 3. Correlation What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA. Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid. How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore 4. Stationary What it shows: A simplified "Yes" or "No" answer to the question: “Is the spread statistically stable (stationary) and mean-reverting right now?” Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud. How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals 5. Last Signal What it shows: The last signal issued by the system — either "Buy", "Sell", or "None" Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa. How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time 6. Bars Since Signal What it shows: How many bars (candles) have passed since the last Buy or Sell signal. Why it matters: Gives you context for how long the current condition has persisted How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually Indicator Settings: Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get. Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated. Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives. Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart. Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment. Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering. Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent. Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals. Some More Recommendations: We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
Pine Script® indicator
by EdgeTerminal
4