Search in scripts for "ema"
EMA Min0nat0rEMa based on the Fibonacci sequence of numbers.
Perfect to trade on leverage.
Min0taur0
EMA Spread OscillatorEMA Spread Oscillator
Quickly see past levels where diff maxed out. Momentum and price can only keep going up for so long. This obviously differs per underlying asset. So that is where this oscillator comes in handy.
Of course you can see on the chart how far apart the moving averages are, but it is easier to spot on an oscillator.
EMA 1-377. The points of intersection of lines EMA 1-377. The points of intersection of lines - elements of the Fibonacci sequence
EMA DifferenceThis is a custom script initially invented by Thomas Bierovic. It is a difference between opening and closing prices and it gives a good understanding of trend strength.
EMA & MA Crossover The Moving Average Crossover trading strategy is possibly the most popular
trading strategy in the world of trading. First of them were written in the
middle of XX century, when commodities trading strategies became popular.
This strategy is a good example of so-called traditional strategies.
Traditional strategies are always long or short. That means they are never
out of the market. The concept of having a strategy that is always long or
short may be scary, particularly in today’s market where you don’t know what
is going to happen as far as risk on any one market. But a lot of traders
believe that the concept is still valid, especially for those of traders who
do their own research or their own discretionary trading.
This version uses crossover of moving average and its exponential moving average.
BTCUSDT Premium Prices and EMA360The Exponential Moving Average (EMA) is a widely used technical indicator in trading that helps analysts and traders identify price trends over a specified period. Unlike the Simple Moving Average (SMA), which treats all data points equally, the EMA gives more weight to recent prices, making it more sensitive to recent price movements. This characteristic allows the EMA to react quickly to changes in market conditions, providing timely insights into potential trends.
## **Key Features of EMA**
- **Weighting Mechanism**: The EMA uses a smoothing factor that emphasizes recent price data while still considering older observations. This leads to a more dynamic representation of price trends compared to the SMA .
- **Trend Identification**: The EMA is particularly effective for identifying the direction of a stock's price movement. A rising EMA indicates an uptrend, while a declining EMA suggests a downtrend. Traders often use multiple EMAs with different periods to spot crossovers, which can signal potential buy or sell opportunities .
- **Calculation**: To calculate the EMA, one typically starts with an initial Simple Moving Average (SMA) for the first period, then applies the following formula for subsequent periods:
$$
\text{EMA}_{\text{today}} = \left(\text{Price}_{\text{today}} \times \left(\frac{2}{N + 1}\right)\right) + \left(\text{EMA}_{\text{yesterday}} \times \left(1 - \frac{2}{N + 1}\right)\right)
$$
Where $$N$$ is the number of periods .
## **Applications in Trading**
Traders utilize the EMA in various strategies, including:
- **Crossover Strategies**: By monitoring two EMAs of different lengths (e.g., 50-day and 200-day), traders can identify bullish or bearish signals when one crosses above or below the other .
- **Combining Indicators**: The EMA can be combined with other indicators like the Relative Strength Index (RSI) or Moving Average Convergence Divergence (MACD) for enhanced decision-making .
In summary, the Exponential Moving Average is a crucial tool for traders seeking to navigate market trends effectively. Its ability to prioritize recent data makes it an essential component of many trading strategies, providing insights that can lead to informed investment decisions.
Naresh CE with 13 62 crossThank you to Lauris, for sharing knowledge and logic for the EMA cross-over (13/62).
The provided Pine Script is a custom script, which is designed to display Chandelier Exit levels on the price chart and generate buy and sell labels based on specific conditions.
Here's a breakdown of the key components and logic of the Pine Script:
Exponential Moving Averages (EMAs):
ema1: The 13-period Exponential Moving Average (EMA) of the closing price.
ema2: The 62-period Exponential Moving Average (EMA) of the closing price.
EMA Plotting:
The script plots the ema1 (13 EMA) and ema2 (62 EMA) lines on the price chart using the plot() function.
Chandelier Exit Calculation:
The Chandelier Exit values are calculated using the Average True Range (ATR).
The script calculates the atr (Average True Range) using the atr() function with the given length.
longStop is calculated as the highest price of the specified length minus the ATR, and shortStop is calculated as the lowest price plus the ATR.
Directional Indicator (dir):
The dir variable is used to determine the direction of the Chandelier Exit based on the comparison of the current close price with the previous long and short stops.
Buy and Sell Signals:
The script generates buy signals when the Chandelier Exit direction changes from short to long (buySignal).
Similarly, sell signals are generated when the Chandelier Exit direction changes from long to short (sellSignal).
The conditions for buy and sell signals are based on the value of dir and its previous value.
Buy and Sell Labels:
Buy and sell labels are plotted on the chart using plotshape() based on the generated buy and sell signals.
The showLabels input parameter controls whether to display the buy and sell labels.
Highlighting States:
The script fills the chart area with color (green for long, red for short) based on the direction of the Chandelier Exit values.
The highlightState input parameter controls whether to apply this highlighting.
Alerts:
The script includes alert conditions based on the direction change (changeCond), buy signal (buySignal), and sell signal (sellSignal) using the alertcondition() function.
The script aims to help traders identify potential buy and sell signals based on the Chandelier Exit levels derived from the 13 EMA and 62 EMA crossovers. The Chandelier Exit values can serve as dynamic stop-loss levels for long and short positions.
AMRS_LongOnly_PartTimerThis Script is created to back-test the data starting 01/01/2000 based on AMRS strategy.
AMRS is long only strategy. It is based on unique calculation around moving averages and 2 year high price.
There are few strategies for moving average crossovers but AMRS strategy is unique compared to other moving averages strategies as it has very specific below mentioned calculations evolving around moving average and stock price.
AMRS strategy is unique one to generate buying signals when stock price creates new 2 year high and retraces back to 13 day EMA value.
AMRS strategy is unique one having specific calculation for entry signal and exit signal as mentioned below. This strategy gives back testing results to help build conviction on entry/exits if trades were taken in past as per the AMRS rules.
As per AMRS strategy this script generates green arrow on each time when new 2 year high is made and also generates long signal indicated by white arrow when stock price retraces back to 13 day EMA value and price is within 10% range from 2 year high.
This strategy will generate white arrow on the chart for each buy signal when stock price reaches 13 day EMA after first Long signal is generated. These subsequent buy signals can be used for pyramiding.
Entry Signal Logic : 1. Stock should be trading near 2 year high.
2. Stock price should be within 10% range from 2 year high
3. Stock price should be less than or equal to 13 day EMA and grater than equal to 21 day EMA
This AMRS strategy also generates exit signal for already generated buy signal (open position).
Exit signal generated when stock price closes 5% below 21 day EMA or when stock price closes below 20% from most recent 2 year high price.
Exit Signal Logic : 1. Stock price closes 5% below 21 day EMA or stock price closes below 20% from most recent 2 year high price.
2. Since exit logic is based on closing price it is plotted on the chart next day.
3. So when exit signal is plotted on the chart, previous days stock price is either closed below 5% of 21 day EMA or corrected 20% from recent 2 year high.
Note : To Calculate last entry positions % return, by default all positions are getting closed on mentioned end date.
Script parameters :
start date as 01/01/2000 - Constructed from Start Year - 2000, Start Month - 1 Start Date - 1
End date (mostly current date) Constructed from Values in End Year, End Month, End Date.
Initial Capital - Defaulted to 100000
Order Size - 5% of Equity
Pyramiding - 3 orders
Commission - 0.2%
Slippage - 1 tick (Since this strategy exit is on close basis mostly there wont be any slippages)
GC Magic Overlay V2This script is based on Guppy method (www.guppytraders.com
) , it was introduced to me by fellow trader @nmike. I am using this script in conjunction to Clones ,Harmonic and other tools.
Script Function:
a. Script plots the fast and slow Exponential moving averages as ribbons.
EMA's used
EMA (close): 25,30,35,40,45,50,55 (Green)
EMA (close): 89,99,109,119,129,139,149 (Red)
b. It draws the Circle dots in Pink for Sell and Black for Buy.
Script Parameters:
a. EMA : 2 emas for cross
b. Signal Exponential moving average
c. which time frame to Plot the above Signal Exponential
d. Show Guppy Slow - Red - Toggle to show red emas on chart
e. Show Guppy Fast - Green- Toggle to show green emas on chart
How to Trade:
a. Wait for the Pink/Black Dot to appear on Chart
b. Do not take trade immediately after the dot appears. Wait for the price to retrace back and touch the ema ribbons.This will keep you away from fake breakouts.
c. Rentries : in examples below
Examples:
EMA X/Y🔍 EMA X/Y Indicator Description
This indicator combines two different EMA ( Exponential Moving Average ) values into a single script, allowing you to visualize both short-term and long-term trends on the same chart.
📌 X: First EMA length (typically for short-term trends)
📌 Y: Second EMA length (typically for long-term trends)
🎯 Purpose:
– Track overall trend direction and potential reversals
– Generate buy/sell signals based on EMA X and Y crossovers
– Analyze market momentum across timeframes
hayatguzel curveENG
When the support resistance study is performed on the hayatguzel indicator, we see that these levels, which are actually horizontal in hayatguzel, are curvilinear when they are plotted on the chart, this is because the hayatguzel indicator uses moving average EMAs.
We can understand the chart more easily by shaping the resulting table in hayatguzel indicator in our minds more easily and seeing these horizontal levels in hayatguzel as curvilinear on the graph.
Let me explain what needs to be done with an example:
The indicator value on top of the yellow box is 13.58 and below of the yellow box of the hayatguzel indicator 5.83. The curves that will occur when we add these values to the hayatguzel curve indicator are shown in green. With the same logic, if we want to see this level, which is the upper blue resistance box on the hayatguzel indicator and coincides with the 67 level, on the graph, we enter 67 for both of the coefficients in the hayatguzel curve indicator. ( Which ema is used in hayatguzel, the same ema value must be entered in hayatguzel curve, ema200 is used in this example )
The result is that the hg curves drawn in green act as support and when the upward movement comes, the hg curve drawn in blue now passes through the 2700s. In other words, we can see that the position is in support and where its target is.
I'd like to show all this in one hayatguzel indicator, but pinescript doesn't make it possible. That's why I had to write this code separately.
TR
Hayatguzel indikatöründe destek direnç çalışması yapıldığında aslında hayatguzel'de yatay olan bu seviyelerin grafiğe atıldığında eğrisel olduğunu görüyoruz, bunun nedeni hayatguzel indikatörünün hareketli ortalama olan ema'ları kullanmasıdır.
Hayatguzel indikatöründeki ortaya çıkan tabloyu kafamızda daha rahat şekillendirmek ve hayatguzel'de yatay olan bu seviyeleri grafik üzerinde eğrisel olarak görerek grafiğe daha çok hakim olabiliriz.
Yapılması gereken şeyi bir örnekle anlatayım:
Hayatguzel indikatöründeki sarı kutunun üstünde indikatör değeri 13.58 ve altında 5.83. Biz bu değerleri hayatguzel curve indikatörüne eklediğimiz zaman oluşacak eğriler yeşil ile gösterildi. Aynı mantıkla hayatguzel indikatöründeki üstteki mavi direnç kutusu olan ve 67 seviyesine denk gelen bu seviyeyi grafikte görmek istiyorsak hayatguzel curve indikatöründeki katsayıların ( coefficient ) ikisine de 67'yi giriyoruz. ( hayatguzel'de hangi ema kullanıldıysa hayatguzel curve'de de aynı ema değeri girilmeli, bu örnekte ema200 kullanıldı )
Burdan ne sonuç çıkıyor peki ?
Çıkan sonuç yeşil ile çizilen hg eğrilerinin destek görevi gördüğü ve yukarı doğru hareket geldiğinde mavi ile çizilen hg eğrisinin şu an 2700 lerden geçtiğidir. Yani hem pozisyonun destekte olduğunu hem de hedefinin neresi olduğunu görebiliyoruz.
Bütün bunları tek bir hayatguzel indikatörünün içinde göstermek isterdim ama pinescript bunu mümkün kılmıyor. O nedenle bu kodu ayrı olarak yazmak zorunda kaldım.
