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Two EMA Cross+ IndicatorHello traders!
Today we gonna demonstrate out heuristic of classical EMA Indicator. We decided to simplify your trading staff and add some meta data. So, let’s look at it from the very beginning and initially speak about what EMA is and then I’ll tell you why our indicator is extremely convenient and useful.
So, what is EMA? An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average . An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average ( SMA ), which applies an equal weight to all observations in the period.
Key takeaways:
-The EMA is a moving average that places a greater weight and significance on the most recent data points.
-Like all moving averages, this technical indicator is used to produce buy and sell signals based on crossovers and divergences from the historical average.
As you know, EMA Cross is one of basic and most popular Entry Indicators. It’s kinda easy to understand and even easier to use. This indicator consists of two EMAs - fast (red line) and slow (blue line). Fast EMA is EMA of less length that the fast EMA (default parameter is 9). Thus, it reacts the price change more actively than the slow. We can say that it takes into consideration the most actual price movements. Speaking about slow EMA (default parameter is 30) it’s more inert and it’s more difficult to change its action vastly. We can say that the EMA «looks» at the historical data more accurate, but doesn’t forget about actual price movements.
But how it works? Trivial. When the fast EMA crosses the slow bellow, it provides bearish signal, whereas when it crosses it above, it’s bullish signal. Even more, we added some «confirmation» factor. As you know, when the price is above the slow EMA, the slow EMA plays the role of support line for price and means that the price is in uptrend. Thus, when we see the cross above and it takes place under the price, we called it «strong Bullish Signal». When the price is bellow the slow EMA, slow EMA is resistance. Thus, when we see the cross bellow and it’s under the slow EMA, we called it «strong Bearish Signal».
To make your trading process easier, we plotted the places of crosses on the chart and added the descriptions of the crosses. The flags mean the place of cross. The default parameters have nice backtest on 1H chart. However, you can also change them depending on your goals and the time period. The places of cross looks like flags (red flag is «bearish» cross, green - «bullish»). As you can see, it’s really convenient.
I hope you’ll enjoy our heuristic of classical EMA Cross. We are sure that the meta data that we are taking into consideration makes the signals more accurate and the deals more profitable. The SkyRock Team with support of Trading View try to make your trading process more successful and profitable. Every day we works in conjunction to boost both your skills and trading balance. We hope, it’s really useful for you, dear traders! Indicator

Multi-X by HamidBoxHello to All, introducing Multi Types Crossover strategy,
simply the best way of trading with Crossover and Crossunder Strategy, How it Works???
I added 5 types of Moving Averages,
1: Simple Moving Average ( SMA )
2: Exponential Moving Average ( EMA )
3: Weighted Moving Average ( WMA )
4: Volume Weighted Moving Average ( VWMA )
5: Relative Moving Average (RMA)
With this indicator, you can do scalping, You can trade not only with similar types of Moving Average indicators but also with different types of Moving Average indicators.
what is mean? like: Normal Condition is:
( Simple Moving Average ) Crossover to ( Simple Moving Average ), SMA x SMA
( Exponential Moving Average ) Crossover to ( Exponential Moving Average ), EMA x EMA
But we can Crossover with:
( Exponential Moving Average ) Crossover to ( Simple Moving Average ), EMA x SMA
( Simple Moving Average ) Crossover to ( Weighted Moving Average ), SMA x WMA
( Weighted Moving Average ) Crossover to ( Weighted Moving Average ), WMA x WMA
( Simple Moving Average ) Crossover to (Relative Moving Average), WMA x RMA
and also I added Moving Average ZONE in this tool, What does it work???
The zone will tell us what type of direction the market has, if the market is above the zone, it's mean we have a Bullish Trend, and if the market is below the zone, it means the market has a Bearish Trend,
so if you want to play on the safe side, never trade when the market is in Bearish Trend, and if you want to play on aggressive mood, you can skip Moving Average Zone section. Strategy

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MACD Moving Average Convergence/Divergence - DurbtradeDurbtrade MACD - macd line changes color based on vertical direction. This makes it easier to see and discern movements and also helps the indicator to retain maximum functionality when taking up less chart real estate (also, having the color change really helps me see charts on small screens... such as when it's bright outside and I'm driving in my car and glancing at a chart on my phone... it helps having the info pop visually). A fill option is included to fill the space between the macd and signal lines, though I personally prefer to disable this function. Also, you get a zero line if you want it, and it doesn't extend past the current time, removing unnecessary info and keeping your chart looking a bit cleaner. Finally, there are color-coded, cross-over and cross-under background fills, signaling when the macd line crosses the signal line.
This is my 2nd published script, and 2nd script ever. If you like this style, see my 1st published script: Durbtrade Bollinger Bands Width.
Hope you find this useful.
Feel free to comment. Indicator

CT Moving Average Crossover IndicatorMoving Average Crossover Indicator
Here I present a moving average indicator with 9 user definable moving averages from which up to 5 pairs can be selected to show what prices would need to be closed at on the current bar to cross each individual pair.
I have put much emphasis here on simplicity of setting the parameters of the moving averages, selecting the crossover pairs and on the clarity of the displayed information in the optional “Moving Average Crossover Level” Information Box.
What Is a Moving Average (MA)?
According to Investopedia - “In statistics, a moving average is a calculation used to analyze data points by creating a series of averages of different subsets of the full data set.
In finance, a moving average (MA) is a stock indicator that is commonly used in technical analysis. The reason for calculating the moving average of a stock is to help smooth out the price data by creating a constantly updated average price.
By calculating the moving average, the impacts of random, short-term fluctuations on the price of a stock over a specified time-frame are mitigated.”
The user can set the color, type (SMA/EMA) and length of each of the 9 moving averages.
Then the user may choose 5 pairs of moving averages from the set of 9.
The script will then calculate the price needed to be crossed by the close of the current bar in order to crossover each of the user defined pairs and outputs the results as optional lineplots and/or an Infobox which shows the relevant information in a very clear way.
The user may switch the moving averages, crossover lineplots and infobox on and off easily with one click boxes in the settings menu.
The number of decimal places shown in the Infobox can be altered in the settings menu.
If the price required to cross a pair of moving averages is zero or less, the crossover level will display “Impossible” and the plots will plot at zero. (this helps ameliorate chart auto-focus issues)
Quoting a variety of online resources …….
Understanding Moving Averages (MA)
Moving averages are a simple, technical analysis tool. Moving averages are usually calculated to identify the trend direction of a stock or to determine its support and resistance levels. It is a trend-following—or lagging—indicator because it is based on past prices.
The longer the time period for the moving average, the greater the lag. So, a 200-day moving average will have a much greater degree of lag than a 20-day MA because it contains prices for the past 200 days. The 50-day and 200-day moving average figures for stocks are widely followed by investors and traders and are considered to be important trading signals.
Moving averages are a totally customizable indicator, which means that an investor can freely choose whatever time frame they want when calculating an average. The most common time periods used in moving averages are 15, 20, 30, 50, 100, and 200 days. The shorter the time span used to create the average, the more sensitive it will be to price changes. The longer the time span, the less sensitive the average will be.
Investors may choose different time periods of varying lengths to calculate moving averages based on their trading objectives. Shorter moving averages are typically used for short-term trading, while longer-term moving averages are more suited for long-term investors.
There is no correct time frame to use when setting up your moving averages. The best way to figure out which one works best for you is to experiment with a number of different time periods until you find one that fits your strategy.
Predicting trends in the stock market is no simple process. While it is impossible to predict the future movement of a specific stock, using technical analysis and research can help you make better predictions.
A rising moving average indicates that the security is in an uptrend, while a declining moving average indicates that it is in a downtrend. Similarly, upward momentum is confirmed with a bullish crossover, which occurs when a short-term moving average crosses above a longer-term moving average. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when a short-term moving average crosses below a longer-term moving average.
Types of Moving Averages
Simple Moving Average (SMA)
The simplest form of a moving average, known as a simple moving average (SMA), is calculated by taking the arithmetic mean of a given set of values. In other words, a set of numbers–or prices in the case of financial instruments–are added together and then divided by the number of prices in the set.
Exponential Moving Average (EMA)
The exponential moving average is a type of moving average that gives more weight to recent prices in an attempt to make it more responsive to new information.
To calculate an EMA, you must first compute the simple moving average (SMA) over a particular time period. Next, you must calculate the multiplier for weighting the EMA (referred to as the "smoothing factor"), which typically follows the formula: 2/(selected time period + 1). So, for a 20-day moving average, the multiplier would be 2/(20+1)= 0.0952. Then you use the smoothing factor combined with the previous EMA to arrive at the current value.
The EMA thus gives a higher weighting to recent prices, while the SMA assigns equal weighting to all values.
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Previous Period Levels - X Alerts====== ABOUT THIS INDICATOR
- A simple but highly customisable display of previous higher time-frame
OHLC values, drawn using line.new and label.new. Nothing fancy but...
- Customised resolution input which excludes time frames lower than 1 hour
while extending the common higher reference inputs to include:
• 6, and 12 Hour
• 5 Day
• 3, and 6 Month
• 1 Year
- Alert conditions using an adjustable SMA to help reduce false positive
spam.
- Full visual customisation options for (almost) every aspect, so it can be
tuned to suit most individual preferences.
- In line with the miriad visual customisation options is the ability to
change the display format of the Labels, to show more or less information,
or disable them altogether.
====== REASON FOR STUDY
- To practice advanced user input option handling to allow for a full visual
customisation experience without stepping outside of, or interfering with,
the intended function of the indicator.
- Provide reasonably clear code commenting and structure in order to be
useful as a potential learning aid for others, and future reference for
myself.
====== DISCLAIMER
Any trade decisions you make are entirely your own responsibility.
I've made an effort to squash all the bugs, but you never know!
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