Smoothed EMA LinesThe "Smoothed EMA Lines" script is a technical analysis tool designed to help traders identify trends and potential support/resistance levels in financial markets. The script plots exponential moving averages (EMAs) of the closing price for five commonly used time periods: 8, 13, 21, 55, and 200.
Key features of the script include:
Overlay: The EMAs are plotted directly on the price chart, making it easy to analyze the relationship between the moving averages and price action.
Smoothing: The script applies an additional smoothing function to each EMA, using a simple moving average (SMA) of a user-defined length. This helps to reduce noise and provide a clearer picture of the trend.
Customizable lengths: Users can easily adjust the length of each EMA and the smoothing period through the script's input parameters.
Color-coded plots: Each EMA is assigned a unique color (8: blue, 13: green, 21: orange, 55: red, 200: purple) for easy identification on the chart.
Traders can use the "Smoothed EMA Lines" script to:
Identify the overall trend direction (bullish, bearish, or neutral) based on the arrangement of the EMAs.
Spot potential support and resistance levels where the price may interact with the EMAs.
Look for crossovers between EMAs as potential entry or exit signals.
Combine the EMA analysis with other technical indicators and price action patterns for a more comprehensive trading strategy.
The "Smoothed EMA Lines" script provides a clear, customizable, and easy-to-interpret visualization of key exponential moving averages, helping traders make informed decisions based on trend analysis.
Emassignal
MTF Moving Averages (only EMA)MTF Moving Averages (only EMA)
This script provides a Multi-Timeframe (MTF) Exponential Moving Average (EMA) indicator for traders to visualize multiple EMAs across different timeframes directly on a single chart.
The indicator dynamically calculates and plots up to four EMAs per timeframe (15-minute, 30-minute, 1-hour, and Daily) with user-defined lengths, offering valuable insight into price trends and potential entry or exit points.
Key Features:
Multiple Timeframe Support: The script allows you to view EMAs from different timeframes simultaneously. This is especially useful for traders who follow trends across different timeframes to make more informed decisions.
Customizable Lengths: For each timeframe, the lengths of the EMAs are fully customizable. You can adjust the length of up to four EMAs per timeframe to suit your strategy.
EMA Calculation: The Exponential Moving Average (EMA) is used, which gives more weight to recent prices and reacts faster to price changes compared to the simple moving average (SMA).
Timeframe Flexibility: The indicator supports the following timeframes:
15-minute: Ideal for short-term traders and scalpers.
30-minute: For intraday trading with a slightly longer perspective.
1-hour: Suitable for swing traders and those who prefer a more medium-term view.
Daily: Great for longer-term trend-following strategies.
Interactive and User-Friendly: You can toggle the visibility of each EMA on each timeframe, allowing you to choose exactly which EMAs you wish to display, depending on your trading strategy.
Color-Coded for Clarity: The script uses distinct colors for each EMA on the chart:
Blue: EMA1
Green: EMA2
Red: EMA3
Purple: EMA4
Line Width Customization: Each plotted EMA line has a customizable width for better visual clarity.
Use Case:
Traders who use multiple timeframes for analysis (e.g., those using the "multi-timeframe analysis" technique) will find this script particularly useful. For example, a trader may look at the 15-minute chart to catch short-term movements, the 30-minute chart for intraday trends, the 1-hour chart for swing positions, and the Daily chart for identifying the overarching market trend. The script enables them to view the EMAs for all these timeframes in one glance without having to manually switch between them.
By observing the relationships between EMAs across multiple timeframes, traders can gain valuable insights into market conditions such as:
Crossovers: When a shorter-term EMA crosses above or below a longer-term EMA, it can signal a potential trend reversal or continuation.
Trend Strength: Multiple EMAs in alignment across different timeframes can indicate strong trend strength.
Support and Resistance: EMAs can act as dynamic support and resistance levels, guiding traders on price action levels to watch for potential price reversals.
Instructions:
Enable/Disable EMAs: Toggle on or off the EMAs for each timeframe (15-min, 30-min, 1-hour, Daily) using the script’s settings.
Adjust EMA Lengths: Change the default lengths for each EMA to match your preferred settings for different timeframes.
Monitor Key Levels: Watch how price interacts with the plotted EMAs to spot potential trading signals based on your strategy.
This indicator is designed to enhance your multi-timeframe analysis and help make more informed, data-driven trading decisions.
Dynamic EMA CrossoverThe Dynamic EMA Crossover indicator is designed to help traders identify trend transitions, visually understand market direction, and detect sideways consolidation zones. It simplifies decision-making by dynamically changing colors and highlighting areas of interest.
Key Features:
1. Dynamic EMA Crossovers:
• Uses two EMAs (default: 9 and 26 ) to identify bullish and bearish trends.
• EMAs and the area between them turn green during bullish trends and red during bearish trends for easy visualization.
2. Sideways Market Detection:
• Automatically detects periods of market consolidation when EMAs overlap for 10 consecutive candles and the price movement remains narrow.
• Sideways zones are highlighted with grey background, helping traders avoid false breakouts and trendless markets.
3. Customizable Inputs:
• Adjust the lengths of the two EMAs and the sensitivity of the overlap detection to match your trading style and market conditions.
How It Works:
• Trend Identification:
• When the shorter EMA crosses above the longer EMA, a bullish trend is indicated.
• When the shorter EMA crosses below the longer EMA, a bearish trend is indicated.
• The indicator dynamically adjusts the colors of the EMAs and fills the area between them for clear trend visibility.
• Sideways Market Detection:
• When the shorter EMA and longer EMA stay close (within a customizable sensitivity) for a fixed period (hardcoded to 10 candles), the indicator identifies a sideways market.
• This feature helps traders avoid entering trades during choppy or indecisive market conditions.
Who Is This For?
This indicator is ideal for:
• Trend traders looking for clear signals of trend direction.
• Swing traders who want to avoid trading in sideways markets.
• Scalpers who need quick and reliable visual cues for short-term market behavior.
Use Cases:
1. Bullish/Bearish Trends:
• Enter trades in the direction of the trend as the crossover occurs and colors change.
2. Sideways Zones:
• Avoid trades during periods of consolidation and wait for a clear breakout.
Mashup Logic:
This indicator combines:
1. EMA Crossovers:
• A tried-and-tested method for trend detection using two moving averages.
• Dynamic visual cues for bullish and bearish market phases.
2. Sideways Market Detection:
• Innovative logic to highlight sideways zones based on EMA overlap and price range analysis.
• Helps reduce noise and avoid trading during trendless periods.
3. Customization and Flexibility:
• Fully adjustable EMA lengths and overlap sensitivity to adapt to different markets and trading styles.
EXPONOVA by @thejamiulEXPONOVA is an advanced EMA-based indicator designed to provide a visually intuitive and actionable representation of market trends. It combines two EMAs (Exponential Moving Averages) with a custom gradient fill to help traders identify trend reversals, strength, and the potential duration of trends.
This indicator uses a gradient color fill between two EMAs—one short-term (20-period) and one longer-term (55-period). The gradient dynamically adjusts based on the proximity and relationship of the closing price to the EMAs, giving traders a unique visual insight into trend momentum and potential exhaustion points.
Key Features:
Dynamic Gradient Fill:
The fill color between the EMAs changes based on the bar's position relative to the longer-term EMA.
A fading gradient visually conveys the strength and duration of the trend. The closer the closing price is to crossing the EMA, the stronger the gradient, making trends easy to spot.
Precision EMA Calculations:
The indicator plots two EMAs (20 and 55) without cluttering the chart, ensuring traders have a clean and informative display.
Ease of Use:
Designed for both novice and advanced traders, this tool is effective in identifying trend reversals and entry/exit points.
Trend Reversal Detection:
Built-in logic identifies bars since the last EMA cross, dynamically adjusting the gradient to signal potential trend changes.
How It Works:
This indicator calculates two EMAs:
EMA 20 (Fast EMA): Tracks short-term price movements, providing early signals of potential trend changes.
EMA 55 (Slow EMA): Captures broader trends and smoothens noise for a clearer directional bias.
The area between the two EMAs is filled with a dynamic color gradient, which evolves based on how far the price has moved above or below EMA 55. The gradient acts as a visual cue to the strength and duration of the current trend:
Bright green shades indicate bullish momentum building over time.
Red tones highlight bearish momentum.
The fading effect in the gradient provides traders with an intuitive representation of trend strength, helping them gauge whether the trend is accelerating, weakening, or reversing.
Gradient-Filled Region: Unique visualization to simplify trend analysis without cluttering the chart.
Dynamic Trend Strength Indication: The gradient dynamically adjusts based on the price's proximity to EMA 55, giving traders insight into momentum changes.
Minimalist Design: The EMAs themselves are not displayed by default to maintain a clean chart while still benefiting from their analysis.
Customizable Lengths: Pre-configured with EMA lengths of 20 and 55, but easily modifiable for different trading styles or instruments.
How to Use This Indicator
Trend Detection: Look at the gradient fill for visual confirmation of trend direction and strength.
Trade Entries:
Enter long positions when the price crosses above EMA 55, with the gradient transitioning to green.
Enter short positions when the price crosses below EMA 55, with the gradient transitioning to red.
Trend Strength Monitoring:
A brighter gradient suggests a sustained and stronger trend.
A fading gradient may indicate weakening momentum and a potential reversal.
Important Notes
This indicator uses a unique method of color visualization to enhance decision-making but does not generate buy or sell signals directly.
Always combine this indicator with other tools or methods for comprehensive analysis.
Past performance is not indicative of future results; please practice risk management while trading.
How to Use:
Trend Following:
Use the gradient fill to identify the trend direction.
A consistently bright gradient indicates a strong trend, while fading colors suggest weakening momentum.
Reversal Signals:
Watch for gradient changes near the EMA crossover points.
These can signal potential trend reversals or consolidation phases.
Confirmation Tool:
Combine EXPONOVA with other indicators or candlestick patterns for enhanced confirmation of trade setups.
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
EMA Hierarchy Score V.1.0
EMA Hierarchy Score V.1.0
Purpose
The EMA Hierarchy Score indicator assesses the relative positioning of multiple Exponential Moving Averages (EMAs) for a financial asset. This tool provides insights into trend strength by calculating ideal and non-ideal configurations of EMAs, allowing for effective interpretation when used alongside standard EMA charts.
Variables and Inputs
The indicator organizes a set of EMAs and other metrics into a hierarchy for scoring:
* Primary Variables (A–J):
A: Close price
B: Open price
C: Previous close price
D to J: EMAs of configurable periods (5, 9, 13, 21, 26, 52, 100).
* User Inputs:
* Customizable periods for each EMA, allowing users to adjust the indicator’s sensitivity.
* Customizable period and standard deviation multiplier for Bollinger Bands, enabling further control over the indicator’s analysis.
Mathematical Method
The EMA Hierarchy Score calculates how closely the current EMA structure aligns with an “ideal” configuration through a structured scoring system:
1- Hierarchy Scoring:
* Ideal Order: Defined as A > B > C > D > E > F > G > H > I > J, representing a strong upward trend where each EMA progressively increases.
* Non-Ideal Order: Defined as J > I > H > G > F > E > D > C > B > A, indicating a weak or downward trend where each EMA progressively decreases.
* Optimal Order: Calculated based on achieving maximum alignment with the ideal configuration for each EMA across the chosen period.
* Sub-Optimal Order: The least-aligned structure across the same period.
2- Score Calculation:
* The indicator calculates a score by comparing all EMA pairs in values. For each comparison, a score increment of +1 (ideal) or -1 (non-ideal) is applied.
* The final score reflects the EMA configuration’s deviation from the ideal order:
- Positive Score: Indicates closer alignment with the ideal structure.
- Negative Score: Indicates deviation toward a non-ideal structure.
3- Smoothed and Signal Lines:
* A smoothed score is created using a Simple Moving Average (SMA) of the raw hierarchy score.
* A signal line (an SMA of the smoothed score) further aids in tracking directional shifts in the score.
4- Trend Labels and Bollinger Bands:
* Trend Labels: Display "UP" or "DOWN" based on the smoothed score’s relationship to the signal line.
* Bollinger Bands: Plotted around a selected source (smoothedLine, signalLine, or score) to analyze score volatility and deviations from the mean. The period and standard deviation multiplier for Bollinger Bands are user-configurable.
Result Definition
The Ideal and Non-Ideal Scores represent the upper and lower bounds of achievable configurations, ensuring the score does not exceed these values.
1- Ideal and Non-Ideal Result:
* Calculated based on how closely the current EMA configuration follows the “ideal” ascending or descending order.
* Ideal Score: Defined as +165, representing perfect alignment with the ideal configuration.
* Non-Ideal Score: Defined as -165, indicating full alignment with the descending, non-ideal structure.
* The score is bounded by these values and will not go above or below this range.
2- Optimal and Sub-Optimal Scores:
* Optimal Score: The highest score over the selected scoring period, calculated with the same period as the Bollinger Bands. Using consistent periods reinforces the reliability of the score by aligning with the period already used to gauge volatility.
* Sub-Optimal Score: The lowest score over the same period, capturing points of minimal alignment with the ideal order.
Interpretation and Analysis
1- Use with EMA Charts:
* This indicator is designed to be used alongside EMA charts, as its results provide insights into the relative order of EMAs and their alignment with trend strength.
* The EMA Hierarchy Score interprets the underlying EMA structure, offering additional context on whether current trends are aligned with optimal or non-optimal EMA configurations.
2- Ideal and Non-Ideal Analysis:
* A positive EMA Hierarchy Score indicates an orderly, ideal upward trend, suggesting stronger alignment with the ideal structure.
* A negative score signals a potential downward trend or deviation from the ideal structure.
3 - Trend Indicators and Bands:
* Trend Labels: The "UP" and "DOWN" labels offer real-time feedback on trend direction shifts, based on the smoothed score and signal line relationship.
* Bollinger Bands: Visualize the range of score fluctuations, helping to identify breakout or breakdown points.
4 - Optimal and Sub-Optimal Scores:
* Use the Optimal Score to understand peak trend alignment and Sub-Optimal Score to spot potential reversal or correction zones.
* A consistently high score over time indicates trend stability, while variations may suggest instability.
Quick Reference Table
The table displayed at the top right provides an at-a-glance view of key metrics:
* Ideal and Non-Ideal Score: Fixed at ±165 to represent the calculated ideal and non-ideal configuration.
* Optimal and Sub-Optimal Scores: Show maximum and minimum scores over the scoring period, color-coded green for positive and red for negative values.
This concise table helps users quickly assess indicator values, reducing the need to interpret multiple chart lines and making it easier to understand overall trend strength.
Disclaimer
The EMA Hierarchy Score V.1.0 is a technical analysis tool designed to assist in understanding the alignment and strength of trends as defined by EMA configurations. This indicator does not constitute investment advice, nor does it make specific recommendations for buying or selling assets. Users should consult with a financial advisor before making any trading decisions, as past performance or technical signals do not guarantee future results. The developers of this indicator disclaim all liability for potential financial losses arising from reliance on this tool. Users assume full responsibility for interpreting and applying the indicator’s outputs in their investment decisions.
Dysmen signalsDysmen Signals Indicator
The "Dysmen Signals" indicator is designed to provide clear buy and sell signals based on the crossover of various Exponential Moving Averages (EMAs). This indicator employs a combination of short-term and long-term EMA crossovers to identify potential trading opportunities, while also highlighting significant market movements through specific signals such as the Golden Cross and Death Cross.
Indicator Components
1. Exponential Moving Averages (EMAs)
- EMA 14: A short-term EMA calculated over 14 periods.
- EMA 20: Another short-term EMA calculated over 20 periods.
- EMA 50: A mid-term EMA used as a trend filter.
- EMA 200: A long-term EMA representing the overall trend.
2. Buy and Sell Signals
- Buy Signal: This is triggered when the EMA 14 crosses above the EMA 20 and the closing price is above the EMA 50. This suggests a bullish trend in the market.
- Sell Signal: This is triggered when the EMA 14 crosses below the EMA 20 and the closing price is below the EMA 50. This indicates a bearish trend in the market.
3. Golden Cross and Death Cross
- Golden Cross (GC): Occurs when the EMA 50 crosses above the EMA 200. This is a strong bullish signal indicating a potential long-term upward trend.
- Death Cross (DC): Occurs when the EMA 50 crosses below the EMA 200. This is a strong bearish signal suggesting a potential long-term downward trend.
4. Signal Visualization
- Buy and Sell signals are marked on the chart with green and red triangles respectively. These signals help traders identify potential entry and exit points.
- Golden Cross and Death Cross signals are indicated with yellow and purple diamonds respectively, providing insight into major market trend shifts.
5. Candle Coloring
- Candles are colored green if a buy signal is active and red if a sell signal is active. This visual aid helps in quickly identifying the prevailing market sentiment.
6. EMA 200 Plotting
- The EMA 200 is plotted as a white, semi-thick line on the chart. This line serves as a reference for the overall long-term trend.
Detailed Code Explanation
- EMA Calculations: The script calculates the EMA for 14, 20, 50, and 200 periods using the ta.ema function.
- Crossover Conditions: It uses the ta.crossover and ta.crossunder functions to detect when the EMAs cross each other, triggering buy and sell signals.
- Plotting Signals: The plotshape function is utilized to display BUY and SELL signals as well as Golden Cross and Death Cross signals on the chart.
- Candle Coloring Logic: A variable direction is used to store the current market direction based on the latest signal, which then determines the candle colors using the barcolor function.
- EMA 200 Display: The plot function is used to draw the EMA 200 line on the chart with the specified color and thickness.
By employing this indicator, traders can gain valuable insights into potential market trends and make more informed trading decisions based on the crossover of key EMAs.
PEMA SUITESPivot based EMA (PEMA) is giving ema based on pivot .
Pivot MA's indicator is a combination of the following:
Pivot SMA
Pivot EMA's
Pullback to EMA Band
Pivot EMA's Cross Over
Pivot Double-EMA's Cross Over
Modified Pivot EMA's Cross Over
All the pivot EMA’s calculations are based on "Profiting With Pivot-Based Moving Averages" book by Frank Ochoa.
How to use it :-
One should have to refer this book for in depth usage of this indicator.
You can use the option's provided in the indicator and the signals have been generated according to the concept in this book.
Don't turn on multiple option's, it becomes clumsy to look.
Description:-
1. Pullback to PEMA Band:-
Perhaps the most trader-friendly PEMA setup is the PEMA Pull-Back, because it forces you to trade in the direction of an established trend.
In this, u get the signal when the price retraces to 13 EMA and closes above the PEMA Band.
It is like Buy the Dips & Sell the Rips. The idea of the PEMA Pull-Back is to buy the market at a discount during an uptrend, and sell the market at a premium during a down trend.
2. PEMA Cross Over :-
The PEMA Crossover fires a signal when the fast EMA crosses the slow EMA.
If the fast EMA crosses above the slow EMA, a long signal is fired; whereas, if the fast EMA crosses below the slow EMA, a short signal is fired.
Depending on your trader personality, you will have to choose the periodicities of the two moving averages to suit your taste.
Some combination of EMA's are provided.
3. Double EMA Cross Over :-
A double exponential moving average (DEMA) is basically the EMA of an EMA, meaning the output is the second derivative of the original exponential moving average.
While an EMA is a faster moving average than the SMA, the DEMA is on another level in terms of speed.
4. Modified PEMA Cross Over :-
This system is an ultra-fast PEMA crossover signal that has built-in trend confirmation.
The Modified PEMA Crossover system fires signals in the direction of the prevailing trend, as measured by a larger moving average.
For Example, Take (1,3),21 combination. In this we use 1- and 3-period pivot EMA’s for crossovers, and use a 21-period pivot EMA for trend confirmation.
1 and 3 period EMA's are not shown in the chart, Only 21 EMA and signals are shown for clear view.
Therefore, this system will only allow bullish crossover signals to fire when price is above the 21-period pivot EMA, and will only allow bearish crossover signals to fire when price is below the 21-period average.
In essence, the results are usually highly qualified “buy the dip, and sell rip” type of opportunities.
This also helps you to avoid getting chopped up during price confluence.
Traders have to look for reversal when price is near the pivot based EMA Zone.
REMA CROSSOVER BY JUGNUThis indicator triggers alerts for long and short positions on DAILY TIME FRAME for SWING trades based on the conditions which described below. This script will generate alerts when the following conditions are met:
LONG POSITION:
RSI(14) above 50.
EMA(5) crosses above EMA(10).
Indicator Triangle Green below price bars
SHORT POSITION:
RSI(14) below 50.
EMA(5) crosses down EMA(10).
Indicator Triangle RED above price bars
This script plots green and red triangles below and above the price bars to indicate long and short alert conditions, respectively. It also triggers alerts when these conditions are met.
gFancyMALibrary "gFancyMA"
printLbl(y, x, c, m, b, s)
Parameters:
y (float)
x (int)
c (color)
m (string)
b (bool)
s (string)
Dee EMA 5.0
1. Indicator Features:
- The indicator can plot four different sets of EMA on a chart.
- The EMA values can be displayed on the chart with their respective names (e.g., ema9, ema20, etc.).
- The indicator allows customization of the EMA values.
2. Purpose of Dee_EMA 5.0:
- Dee_EMA 5.0 is a unique EMA indicator specially designed for traders to provide better insights and aid in trading decisions.
- The primary reason for building this indicator is to address the challenge of managing multiple time frames while using normal EMA tables.
- Traditional EMA tables might not show all EMA values across different time frames simultaneously, leading to time-consuming processes like shifting time frames and refreshing charts.
- Dee_EMA 5.0 solves this issue by displaying EMA values for different time frames in one table, allowing traders to make quick judgments without repeatedly changing time frames and refreshing charts.
3. Importance of Different Time Frame EMA Values:
- Different time frames EMA values are crucial in trading because they provide valuable insights into the market dynamics at various levels.
- When using shorter time frames (e.g., 1-minute), EMA values can help identify short-term trends, support, and resistance levels.
- On the other hand, using larger time frames (e.g., 5-minute or 15-minute) provides more data and increases the accuracy of EMA-based analysis, enabling traders to identify longer-term trends and potential price movements.
4. EMA Crossover Table:
- Traders often prefer a clutter-free chart without too many lines, but they still need access to EMA values for analysis.
- The EMA table and EMA crossover table serve this purpose by providing EMA values and EMA crossover information in a structured table format.
- With the EMA crossover table, traders can quickly check EMA values and crossovers across different time frames without having to switch time frames repeatedly, saving time and facilitating faster decision-making during trading.
In summary, Dee_EMA 5.0 is an EMA indicator designed to help traders efficiently analyze EMA values across different time frames, allowing for faster and more informed trading decisions. The EMA crossover table provides additional convenience by presenting EMA crossovers without cluttering the chart.
Triple Supertrend with EMA and ADX strategyPublishing a strategy that includes adx and ema filter as well
Entry: all three Supertrend turns positive. If a filter of ADX and EMA is applied, also check if ADX is above the selected level and close is above EMA
Exit: when the first supertrend turns negative
opposite for short entries
A FIlter is given to take or avoid re-enter on the same side. For example, After a long exit, if the entry condition is satisfied again for long before the short single is triggered it takes re-entry if selected.
