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EMA Enveloper Indicator & a crazy predictionEMAEnvelope indicator does just that, draws a nice user-defined period EMA envelope (overlay). It also can highlight the Bull/Bear breaks using different colors - Green : High > EMA_HIGH - Lime : (High > EMA_HIGH) and (Low > EMA_HIGH) - Orange : Low < EMA_LOW - Red : (Low < EMA_LOW) and (High < EMA_LOW) Background highlighting is user-configurable. Now to the (crazy) prediction: Based on a 100-period EMAEnvelope, we may have to go down to ~427.3 before starting turning Green. Look at the 2 Orange/Red areas highlighted. EMA 200 tells us a different story, BTW.
Indicatore Pine Script®
di LazyBear
14
EMAs for D W M TimeframesEMAs for D W M Timeframes Description: The “EMAs for D W M Timeframes” indicator allows users to set specific Exponential Moving Averages (EMAs) for Daily, Weekly, and Monthly timeframes. The script utilizes these user-defined EMA settings based on the chart’s current timeframe, ensuring that the appropriate EMAs are always displayed. Please note that for timeframes other than specified, it defaults to daily EMA values. EMA : The Exponential Moving Average (EMA) is a type of moving average that places greater weight and significance on the most recent data points. This makes the EMA more responsive to recent price changes compared to a simple moving average (SMA), making it a popular tool for identifying trends in financial markets. Features: Daily and Default EMAs: Users can specify two EMAs for the Daily timeframe, which also act as the default EMAs for any unspecified timeframe. The default values are set to 10 and 20. Weekly EMAs: For Weekly charts, the indicator plots two EMAs with default values of 10 and 30. These EMAs help in tracking medium-term trends. Monthly EMAs: On Monthly charts, the indicator plots EMAs with default values of 5 and 10, providing insights into long-term trends. Timeframe-Based Display: The indicator automatically uses the EMA settings corresponding to the current chart’s timeframe, whether it is Daily, Weekly, or Monthly. If the chart is set to any other timeframe, the Daily EMA settings are used by default. How to Use: Inputs: * Daily and Default EMA 1 & 2: Adjust the values for the short-term and long-term EMAs on the Daily chart, which are also used for any other unspecified timeframe. * Weekly EMA 1 & 2: Set the values for the EMAs that will be shown on Weekly charts. * Monthly EMA 1 & 2: Specify the values for the EMAs to be displayed on Monthly charts. Visualization: * Depending on the current chart timeframe, the script will automatically display the relevant EMAs. Default Values: * Daily and Default EMAs: 10 (EMA 1), 20 (EMA 2) * Weekly EMAs: 10 (EMA 1), 30 (EMA 2) * Monthly EMAs: 5 (EMA 1), 10 (EMA 2) This indicator is designed for users who want to monitor EMAs across different timeframes, using specific settings for Daily, Weekly, and Monthly charts.
Indicatore Pine Script®
di nithinLearns
2
EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection) 🚨 Main Utility: Early Squeeze Warning The primary function of this indicator is to warn traders early when the market is approaching a "squeeze"—a tightening condition that often precedes significant moves or regime shifts. By visually highlighting areas of increasing tension, it helps traders anticipate potential volatility and prepare accordingly. This is intended to be a statistically and psychologically grounded replacement of so-called "fib-time-zones," which are overly-deterministic and subjective. 📌 Overview The EMA-Based Squeeze Dynamics indicator projects future regime shifts (such as golden and death crosses) using exponential moving averages (EMAs). It employs historical interval data and current market conditions to dynamically forecast when the critical EMAs (50-period and 200-period) will reconverge, marking likely trend-change points. This indicator leverages two core ideas: Behavioral finance theory: Traders often collectively anticipate popular EMA crossovers, creating a self-fulfilling prophecy (normative social influence), similar to findings from Solomon Asch’s conformity experiments. Bayesian-like updates: It utilizes historical crossover intervals as a prior, dynamically updating expectations based on evolving market data, ensuring its signals remain objectively grounded in actual market behavior. ⚙️ Technical & Mathematical Explanation 1. EMA Calculations and Regime Definitions The indicator uses three EMAs: Fast (9-period): Represents short-term price movement. Medial (50-period): Indicates medium-term trend direction. Slow (200-period): Defines long-term market sentiment. Regime States: Bullish: 50 EMA is above the 200 EMA. Bearish: 50 EMA is below the 200 EMA. A shift between these states triggers visual markers (arrows and labels) directly on the chart. 2. Gap Dynamics and Historical Intervals At each crossover: The indicator records the gap (distance) between the 50 and 200 EMAs. It tracks the historical intervals between past crossovers. An Exponentially Weighted Moving Average (EWMA) of these intervals is calculated, weighting recent intervals more heavily, dynamically updating expectations. Important note: After every regime shift, the projected crossover line resets its calculation. This reset is visually evident as the projection line appears to move further away after each regime change, temporarily "repelled" until the EMAs begin converging again. This ensures projections remain realistic, grounded in actual EMA convergence, and prevents overly optimistic forecasts immediately after a regime shift. 3. Gap Momentum & Adaptive Scaling The indicator measures how quickly or slowly the gap between EMAs is changing ("gap momentum") and adjusts its forecast accordingly: If the gap narrows rapidly, a crossover becomes more imminent. If the gap widens, the next crossover is pushed further into the future. The "gap factor" dynamically scales the projection based on recent gap momentum, bounded between reasonable limits (0.7–1.3). 4. Squeeze Ratio & Background Color (Visual Cues) A "squeeze ratio" is computed when market conditions indicate tightening: In a bullish regime, if the fast EMA is below the medial EMA (price pulling back towards long-term support), the squeeze ratio increases. In a bearish regime, if the fast EMA rises above the medial EMA (price rallying into long-term resistance), the squeeze ratio increases. What the Background Colors Mean: Red Background: Indicates a bullish squeeze—price is compressing downward, hinting a bullish reversal or continuation breakout may occur soon. Green Background: Indicates a bearish squeeze—price is compressing upward, suggesting a bearish reversal or continuation breakout could soon follow. Opacity Explanation: The transparency (opacity) of the background indicates the intensity of the squeeze: High Opacity (solid color): Strong squeeze, high likelihood of imminent volatility or regime shift. Low Opacity (faint color): Mild squeeze, signaling early stages of tightening. Thus, more vivid colors serve as urgent visual warnings that a squeeze is rapidly intensifying. 5. Projected Next Crossover and Pseudo Crossover Mechanism The indicator calculates an estimated future bar when a crossover (and thus, regime shift) is expected to occur. This calculation incorporates: Historical EWMA interval. Current squeeze intensity. Gap momentum. A dynamic penalty based on divergence from baseline conditions. The "Pseudo Crossover" Explained: A key adaptive feature is the pseudo crossover mechanism. If price action significantly deviates from the projected crossover (for example, if price stays beyond the projected line longer than expected), the indicator acknowledges the projection was incorrect and triggers a "pseudo crossover" event. Essentially, this acts as a reset, updating historical intervals with a weighted adjustment to recalibrate future predictions. In other words, if the indicator’s initial forecast proves inaccurate, it recognizes this quickly, resets itself, and tries again—ensuring it remains responsive and adaptive to actual market conditions. 🧠 Behavioral Theory: Normative Social Influence This indicator is rooted in behavioral finance theory, specifically leveraging normative social influence (conformity). Traders commonly watch EMA signals (especially the 50 and 200 EMA crossovers). When traders collectively anticipate these signals, they begin trading ahead of actual crossovers, effectively creating self-fulfilling prophecies—similar to Solomon Asch’s famous conformity experiments, where individuals adopted group behaviors even against direct evidence. This behavior means genuine regime shifts (actual EMA crossovers) rarely occur until EMAs visibly reconverge due to widespread anticipatory trading activity. The indicator quantifies these dynamics by objectively measuring EMA convergence and updating projections accordingly. 📊 How to Use This Indicator Monitor the background color and opacity as primary visual cues. A strongly colored background (solid red/green) is an early alert that a squeeze is intensifying—prepare for potential volatility or a regime shift. Projected crossover lines give a dynamic target bar to watch for trend reversals or confirmations. After each regime shift, expect a reset of the projection line. The line may seem initially repelled from price action, but it will recalibrate as EMAs converge again. Trust the pseudo crossover mechanism to automatically recalibrate the indicator if its original projection misses. 🎯 Why Choose This Indicator? Early Warning: Visual squeeze intensity helps anticipate market breakouts. Behaviorally Grounded: Leverages real trader psychology (conformity and anticipation). Objective & Adaptive: Uses real-time, data-driven updates rather than static levels or subjective analysis. Easy to Interpret: Clear visual signals (arrows, labels, colors) simplify trading decisions. Self-correcting (Pseudo Crossovers): Quickly adjusts when initial predictions miss, maintaining accuracy over time. Summary: The EMA-Based Squeeze Dynamics Indicator combines behavioral insights, dynamic Bayesian-like updates, intuitive visual cues, and a self-correcting pseudo crossover feature to offer traders a reliable early warning system for market squeezes and impending regime shifts. It transparently recalibrates after each regime shift and automatically resets whenever projections prove inaccurate—ensuring you always have an adaptive, realistic forecast. Whether you're a discretionary trader or algorithmic strategist, this indicator provides a powerful tool to navigate market volatility effectively. Happy Trading! 📈✨
Indicatore Pine Script®
di garysebastianbrowniii
EMA CheatsheetEMA Clouds Indicator: A Comprehensive Guide for Traders The Exponential Moving Average (EMA) Clouds indicator is a dynamic tool designed to provide traders with visual cues about the current trend and potential shifts in market momentum. The EMA is a type of moving average that gives more weight to recent price data, making it highly responsive to price changes compared to a Simple Moving Average (SMA). When used in the form of clouds, EMAs are layered on top of each other to form a visual representation of bullish and bearish trends. Understanding EMA Clouds EMA Clouds consist of two or more EMAs, typically a short-term EMA (e.g., 9-period) and a longer-term EMA (e.g., 21-period). When these two EMAs are plotted together, they create a "cloud" between them. The interaction between these EMAs gives traders critical insights into the market's trend: Bullish Clouds: When the shorter-term EMA crosses above the longer-term EMA, the market is considered to be in a bullish trend. This creates a green (or lighter colored) cloud between the EMAs, signaling upward momentum. Bullish clouds suggest that buyers are in control, and the price is likely to continue higher. Bearish Clouds: Conversely, when the shorter-term EMA crosses below the longer-term EMA, the market is considered to be in a bearish trend. This forms a red (or darker colored) cloud between the EMAs, indicating downward momentum. Bearish clouds imply that sellers are dominating the market, and the price is likely to decline. Key Components of the EMA Clouds Indicator: Short-Term EMA: This is the fast-moving average (e.g., 9-period EMA) and reacts quickly to recent price changes. It’s used to detect short-term shifts in momentum. Long-Term EMA: This is the slower-moving average (e.g., 21-period EMA), which smooths out price data over a longer period and identifies the general trend direction. Cloud: The area between the short-term and long-term EMAs. When this cloud is green (bullish), it indicates that the short-term trend is stronger than the long-term trend. When the cloud turns red (bearish), it suggests that the short-term trend is weaker than the long-term trend. Cloud Thickness: The thickness of the cloud provides additional information about the strength of the trend. A thicker cloud suggests strong price divergence between short and long-term trends, which could indicate a robust trend. A thinner cloud, on the other hand, may signal trend weakness or consolidation.
Indicatore Pine Script®
di marketmoves
3
Ryna 3 EMA Multi-Timeframe Indicator**EMA Multi-Timeframe Strategy (Pine Script v6)** This TradingView indicator is designed to assist traders using a **multi-timeframe trend-following strategy** based on Exponential Moving Averages (EMAs). **Core Functionality** - **Trend Identification:** Uses a configurable **EMA (e.g., EMA 50)** on a **higher timeframe** (e.g., H1, D1, W1) to determine the market bias: - If price is **above** the trend EMA → **Long bias** - If price is **below** the trend EMA → **Short bias** - **Entry Signals:** Uses two EMAs (fast & slow, e.g., EMA 8 & EMA 21) on either: - The **current chart timeframe**, or - A **separately selected timeframe** (e.g., entry on M15, trend on H1) → Signals are generated based on **EMA crossovers**: - **Bullish crossover** (fast crosses above slow) → Long signal - **Bearish crossover** (fast crosses below slow) → Short signal - Only when aligned with the higher-timeframe trend - **Visual Output:** - Optional display of entry EMAs when sourced from the trend timeframe - Always displays the trend EMA - Entry signals shown with triangle markers on the chart - **Info Panel (Top Center):** - Shows selected timeframes and EMA settings - Indicates current trend bias (LONG / SHORT / NEUTRAL) - Notes if entry EMAs are hidden due to settings - **Alerts:** - Optional alerts for long and short entry signals based on EMA crossovers #### **User Inputs** - **Trend Timeframe & EMA Length** - **Entry Timeframe & EMA Fast/Slow Lengths** - **Option to show/hide entry EMAs when using the trend timeframe** - **Option to show/hide Infobox on Chart**
Indicatore Pine Script®
di richie_ryna
EMA GridThe EMA Grid indicator is a powerful tool that calculates the overall market sentiment by comparing the order of 20 different Exponential Moving Averages (EMAs) over various lengths. The indicator assigns a rating based on how well-ordered the EMAs are relative to each other, representing the strength and direction of the market trend. It also smooths out the macro movements using cumulative calculations and visually represents the market sentiment through color-coded bands. EMA Calculation: The indicator uses a series of EMAs with different lengths, starting from 5 and going up to 100. Each EMA is calculated either using the exponential moving averages. The EMAs form the grid that the indicator uses to measure the order and distance between them. Rating Calculation: The indicator computes the relative distance between consecutive EMAs and sums these differences. The cumulative sum is further smoothed using multiple EMAs with different lengths (from 3 to 21). This smooths out short-term fluctuations and helps identify broader trends. Market Sentiment Rating: The overall sentiment is calculated by comparing the values of these smoothing EMAs. If the shorter-term EMA is above the longer-term EMA, it contributes positively to the sentiment; otherwise, it contributes negatively. The final rating is a normalized value based on the relationship between these EMAs, producing a sentiment score between 1 (bullish) and -1 (bearish). Color Coding and Bands: The indicator uses the sentiment rating to color the space between the 100 EMA and 200 EMA, representing the strength of the trend. If the sentiment is bullish (rating > 0), the band is shaded green. If the sentiment is bearish (rating < 0), the band is shaded red. The intensity of the color is based on the strength of the sentiment, with stronger trends resulting in more saturated colors. Utility for Traders: The EMA Grid is ideal for traders looking to gauge the broader market trend by analyzing the structure and alignment of multiple EMAs. The color-coded band between the 100 and 200 EMAs provides an at-a-glance view of market momentum, helping traders make informed decisions based on the trend's strength and direction. This indicator can be used to identify bullish or bearish conditions and offers a smoothed perspective on market trends, reducing noise and highlighting significant trend shifts.
Indicatore Pine Script®
di mertenes3
2
EMA 20/50/100/200 PricesDescription: Introducing the EMA Indicator with Dynamic Labels, a unique addition to the TradingView Public Library. This innovative script enhances trend analysis and decision-making by overlaying four Exponential Moving Averages (EMAs) – 20, 50, 100, and 200 periods – on your chart, each with a distinct color for quick identification. What sets this script apart? Unlike standard EMA indicators, this script includes dynamic labels that display the current price level of each EMA at the latest price bar. This feature provides an instant snapshot of market sentiment, offering insights into potential dynamic support or resistance levels. Key Features: Customizable EMA Periods: Tailor the EMA periods according to your trading strategy, allowing for flexibility across different timeframes and assets. Adaptive Label Sizes: A unique function adjusts label sizes based on user input, ensuring optimal readability across various display settings. Color-Coded EMAs: Quickly differentiate between the EMAs with pre-defined colors, enhancing visual clarity and trend recognition. How to Use: Trend Analysis: Use the EMAs to identify the overall market trend. When shorter EMAs are above longer ones, it suggests a bullish trend, and vice versa. Trade Entries and Exits: Look for crossovers of the EMAs as potential entry or exit signals. Dynamic labels will help you pinpoint the exact levels. Customization: Adjust the EMA periods and label sizes under the indicator settings to match your trading style and preferences. Underlying Concepts: This script utilizes the classic EMA calculation but innovates by integrating dynamic, real-time labels and customizable periods. The choice of four different periods allows for a nuanced analysis of trend strength and direction, catering to both short-term traders and long-term investors. Originality and Contribution: The "Advanced EMA Indicator with Dynamic Labels" is original in its approach to providing real-time, actionable data through dynamic labels. It caters to the community's need for more interactive and informative indicators that go beyond basic trend analysis. Conclusion: Whether you're a novice trader seeking to understand market trends or an experienced investor looking for nuanced analysis tools, this script offers valuable insights and flexibility. It stands as a testament to the power of Pine Script in creating practical, user-centric trading tools.
Indicatore Pine Script®
di Toonight
EMA with Buy/Sell Signals by lbkindCertainly! Here's a description of the code: This Pine Script code is designed to plot Exponential Moving Averages (EMAs) on a chart and generate buy/sell signals based on specific conditions. The code includes a filter to reduce false signals by considering the trend of the EMA 200. The key components of the code are as follows: 1. Input Variables: The code starts by defining input variables such as the periods for the EMAs (ema200Period, ema50Period, ema13Period), the Average True Range period (atrPeriod), and the chopiness threshold (chopinessThreshold). 2. Calculating EMAs: The EMAs (ema200, ema50, ema13) are calculated using the `ema()` function based on the closing price. 3. Average True Range (ATR): The ATR is calculated using the `atr()` function with the specified period (atrPeriod). 4. Normalized ATR: The normalized ATR is computed by dividing the ATR by the closing price and multiplying by 100. This allows for better comparison across different price levels. 5. EMA 200 Trend Direction: The code determines the trend direction of the EMA 200 by comparing the current value with the previous value. The variables `ema200TrendUp` and `ema200TrendDown` are assigned `true` or `false` values based on the trend direction. 6. Generate Buy/Sell Signals: The buySignal is generated when the following conditions are met: - There is a crossover of the shorter EMAs (ema13, ema50). - The EMA 200 is in an uptrend (`ema200TrendUp` is true). - The current close is above the EMA 200. - The normalized ATR is below the specified chopiness threshold. The sellSignal is generated when the opposite conditions are met. 7. Plotting: The EMAs (ema200, ema50, ema13) are plotted on the chart using the `plot()` function. The buy and sell signals are plotted as labels using the `plotshape()` function. The buySignal is displayed below the candle (`location=location.belowbar`), and the sellSignal is displayed above the candle (`location=location.abovebar`). By incorporating these features, the code provides a visual representation of the EMAs, along with buy and sell signals that consider the EMA 200 trend, crossover of shorter EMAs, and the normalized ATR condition. This helps in identifying potential entry and exit points in the market while attempting to reduce false signals.
Indicatore Pine Script®
di lbkind007
EMA bridge and dashboard with color coding. Summary: This is a custom moving average indicator script that calculates and plots different Exponential Moving Averages (EMAs) based on user-defined input values. The script also displays MACD and RSI, and provides a table that displays the current trend of the market in a color-coded format. Explanation: - The script starts by defining the name of the indicator and the different inputs that the user can customize. - The inputs include bridge values for three different EMAs (high, close, and low), and four other EMAs (5, 50, 100, and 200). - The script assigns values to these inputs using the `ta.ema()` function. - Additionally, the script calculates EMAs for higher timeframes (3m, 5m, 15m, and 30m). - The script then plots the EMAs on the chart using different colors and line widths. - The script defines conditions for going long or short based on the crossover of two EMAs. - It plots triangles above or below bars to indicate the crossover events. - The script also calculates and displays the RSI and MACD of the asset. - Finally, the script creates a table that displays the current trend of the market in a color-coded format. The table can be positioned on the top, middle, or bottom of the chart and on the left, center, or right side of the chart. Parameters: - i_ema_h: Bridge value for high EMA (default=34) - i_ema_c: Bridge value for close EMA (default=34) - i_ema_l: Bridge value for low EMA (default=34) - i_ema_5: Value for 5-period EMA (default=5) - i_ema_50: Value for 50-period EMA (default=50) - i_ema_100: Value for 100-period EMA (default=100) - i_ema_200: Value for 200-period EMA (default=200) - i_f_ema: Value for fast EMA used in MACD calculation (default=9) - i_s_ema: Value for slow EMA used in MACD calculation (default=21) - fastInput: Value for fast length used in MACD calculation (default=7) - slowInput: Value for slow length used in MACD calculation (default=14) - tableYposInput: Vertical position of the table (options: top, middle, bottom; default=middle) - tableXposInput: Horizontal position of the table (options: left, center, right; default=right) - bullColorInput: Color of the table cell for a bullish trend (default=green) - bearColorInput: Color of the table cell for a bearish trend (default=red) - neutColorInput: Color of the table cell for a neutral trend (default=white) - neutColorLabelInput: Color of the label for neutral trend in the table (default=fuchsia) Usage: To use this script, simply copy and paste it into the Pine Editor on TradingView. You can then customize the input values to your liking or leave them at their default values. Once you have added the script to your chart, you can view the EMAs, MACD, RSI, and trend table on the chart. The trend table provides a quick way to assess the current trend of the market at a glance.
Indicatore Pine Script®
di sobiswas
1