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.
İkili Üstel Hareketli Ortalama (DEMA)
QuantBot 3:Ultimate MA CrossoverTHIS IS A SAMPLE CODE TO AUTOMATE WITH QUANTBOT
The moving average strategy is a popular and widely used technique in financial analysis and trading. It involves the calculation and analysis of moving averages, which are mathematical indicators that smooth out price data over a specified period. This strategy is primarily applied in the context of stock trading, but it can be used for other financial instruments as well.
The concept behind the moving average strategy is to identify trends and potential entry or exit points in the market. By calculating and analyzing moving averages of different timeframes, traders aim to capture the overall direction of the price movement and filter out short-term fluctuations or noise.
To implement the moving average strategy, a trader typically selects two or more moving averages with different periods. The most common combinations include the 50-day and 200-day moving averages. The shorter-term moving average is considered more reactive to price changes, while the longer-term moving average provides a smoother trend line. When the shorter-term moving average crosses above the longer-term moving average, it generates a buy signal, indicating a potential upward trend. Conversely, when the shorter-term moving average crosses below the longer-term moving average, it generates a sell signal, indicating a potential downward trend.
Traders can use various variations of the moving average strategy based on their trading objectives and risk tolerance. For instance, some traders may prefer to use exponential moving averages (EMAs) instead of simple moving averages (SMAs) to give more weight to recent price data. Others may incorporate additional indicators or filters to confirm signals or avoid false signals.
One of the strengths of the moving average strategy is its simplicity and ease of interpretation. It provides a clear visual representation of the trend direction and potential entry or exit points. However, it's important to note that the moving average strategy is a lagging indicator, meaning that it relies on past price data. Therefore, it may not always accurately predict future market movements or capture sudden reversals.
Like any trading strategy, the moving average strategy is not foolproof and carries risks. It is crucial for traders to conduct thorough analysis, consider other relevant factors, and manage their risk through proper position sizing and risk management techniques. Additionally, it's important to adapt the strategy to specific market conditions and combine it with other complementary strategies or indicators for improved decision-making.
Overall, the moving average strategy serves as a valuable tool for traders to identify and follow trends in financial markets, aiding in the analysis of price movements and potential trading opportunities.
12/26-IT strategyBase of this Strategy is crossover of 12EMA on 26EMA.
Also multiple other criteria has to meet for buy signal, Criterias mentioned below
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There two entry option to select. Either one or both can be selected:
1. Only 12/26 Cross over
a. 12/26 crossover.
b. RSI (14) value to be between a range (RSI is inbuilt, but lower and upper range can be defined in settings)
c. MACD (12, 26) to be positive and above signal line (this is inbuilt)
2. Recent 12/26 Cross over and closing above pivot point(resistance)
a. 12/26 crossover has to be recent, CrossOverLookbackCandles value will look for crossover in # previous candles..
b. RSI (14) value to be between a range (RSI is inbuilt, but lower and upper range can be defined in settings)
c. MACD (12, 26) to be positive and above signal line (this is inbuilt)
d. closing above resistance line
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For Exit we have three options. you can select any SL as per your need, multiple SLs can also be selected
1. Trailing Stop Loss.
Source for TSL is adjustable(open, close, high or low), also you have to mention % below your source TSL has to be placed.
Once closing is below TSL, exit will be triggered.
2. Closing below 7SMA
After 7SMA SL is enabled, 7SMA will be plotted on chart and exit signal will be triggered when closing is below 7SMA.
Choose this option for LESS risk and rewards
3. 12/26 Crossdown
Once 12EMA crossdown below 26EMA, exit will be triggered.
Choose this option for HIGH risk and rewards
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Resistance line is plotted based on left and right candles, if 10(can be changed) is used for both left and right, indicator will look for 10 candles in left and 10 candles in right and if both left and right candle are lower then a line is plotted.
Source has to be selected (close or high)
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Qty mentioned in Buy trigger will be based on BUYVALUE entered
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Multiple Target option is available, if first target is matched how much percentage of qty to be sold can be defined.
If you wish to have only one Target, then exit qty in first target must be 100
Smooth EMA/DEMA/TEMA/EHMA (SEMA)This is my attempt at smoothing the exponential moving average any its cousins. I literally just smoothed the source and alpha and this is what we got. I really like this because you get a nice smooth yet fast acting moving average that works better than a traditional simple moving average. This script also included directional alerts.
Smooth EMA
Smooth DEMA
Smooth TEMA
Smooth EHMA
SUPER MULTI MOVING AVERAGE [Gabbo]this indicator serves to differentiate the classic Moving Average with a different style
There are 3 Moving Average editable with the Source, length, timeframe and styles. the styles are:
SMA = Simple moving average
EMA = Exponential moving average
WMA = Weighted moving average
RMA = Rolling moving average
HMA = Hull moving average
JMA = Jurik moving average
DEMA = Double exponential moving average
TEMA = Triple exponential moving average
LSMA = Least squares moving average
VWMA = Volume-weighted moving average
SMMA = Moving average Smoothed
KAMA = Kaufman Moving Average Adaptive
ALMA = Arnaud Legoux moving average
FRAMA = Fractal Adaptive moving average
VIDYA = Variable Index Dynamic Average
There are also Inputs that are valid only for some styles such as:
JMA = "Phase" and "Power"
ALMA = "Offset" and "Sigma"
FRAMA = "Lower shift ( FC )" and "Upper shift ( SC )"
VIDYA = "Fixed CMO Lenght (9)?" and "Calculation Method: CMO/StDev?"
The "Ema Fill" input is used to decide the type of Moving Average long or short, the choices are:
Fast/Slow = Long = maFast >= maSlow --- Short maSlow > maFast
Fast = Long = maFast >= close ------ Short maFast < close
Slow = Long = maSlow >= close ------ Short maSlow < close
NA = No fill
If they also select the input "USE Ema Conf ???" the calculations for Moving Average Long and Short become like this:
Fast/Slow = Long = maFast >= maSlow and maConf >= maFast --- Short maSlow > maFast and maSlow > maFast
Fast = Long = maFast >= close and maConf >= maFast ------ Short maFast < close and maFast > maConf
Slow = Long = maSlow >= close and maConf >= maSlow ------ Short maSlow < close and maSlow > maConf
NA = No fill
selecting the input "TABLE ???" a table with 8 boxes will appear and each will be of a different color, based on the Moving Average Long and Short of the 8 different Timeframes.
the "Neutral Position" input is used to calculate the Moving Average Neutral, Long and Short
Long = maFast- maSlow >= upBar and maFast >= maFamaSlow
Short = maFast- maSlow <= -lowBar and maSlow > maFast
Neutral = maFast >= maSlow and maFast- maSlow < upBar OR maSlow > maFast and maFast- maSlow > -lowBar
GAIN MORE GURU 7 EMA7 ema in a single indicator for all those who cant add more than three ema in chart
RSI-Adaptive, GKYZ-Filtered DEMA [Loxx]RSI-Adaptive, GKYZ-Filtered DEMA is a Garman-Klass-Yang-Zhang Historical Volatility Filtered, RSI-Adaptive Double Exponential Moving Average. This is an experimental indicator. The way this is calculated is by turning RSI into an alpha value that is then injected into a DEMA function to output price. Price is then filtered using GKYZ Historical volatility. This process of creating an alpha out of RSI is only relevant to EMA-based moving averages that use an alpha value for it's calculation.
What is Garman-Klass-Yang-Zhang Historical Volatility?
Yang and Zhang derived an extension to the Garman Klass historical volatility estimator that allows for opening jumps. It assumes Brownian motion with zero drift. This is currently the preferred version of open-high-low-close volatility estimator for zero drift and has an efficiency of 8 times the classic close-to-close estimator. Note that when the drift is nonzero, but instead relative large to the volatility , this estimator will tend to overestimate the volatility . The Garman-Klass-Yang-Zhang Historical Volatility calculation is as follows:
GKYZHV = sqrt((Z/n) * sum((log(open(k)/close( k-1 )))^2 + (0.5*(log(high(k)/low(k)))^2) - (2*log(2) - 1)*(log(close(k)/open(2:end)))^2))
Included
Alerts
Signals
Loxx's Expanded Source Types
Bar coloring
Step Generalized Double DEMA (ATR based) [Loxx]Step Generalized Double DEMA (ATR based) works like a T3 moving average but is less smooth. This is on purpose to catch more signals. The addition of ATR stepped filtering reduces noise while maintaining signal integrity. This one comes via Mr. Tools.
Theory:
The double exponential moving average (DEMA), was developed by Patrick Mulloy in an attempt to reduce the amount of lag time found in traditional moving averages. It was first introduced in the February 1994 issue of the magazine Technical Analysis of Stocks & Commodities in Mulloy's article "Smoothing Data with Faster Moving Averages". The way to calculate is the following :
The Double Exponential Moving Average calculations are based combinations of a single EMA and double EMA into a new EMA:
1. Calculate EMA
2. Calculate Smoothed EMA by applying EMA with the same period to the EMA calculated in the first step
3. Calculate DEMA
DEMA = (2 * EMA) - (Smoothed EMA)
This version:
For our purposes here, we are using Tim Tillson's (the inventor of T3) work, specifically, we are using the GDEMA of GDEMA for calculation (which is the "middle step" of T3 calculation). Since there are no versions showing that "middle step, this version covers that too. The result is smoother than Generalized DEMA, but is less smooth than T3 - one has to do some experimenting in order to find the optimal way to use it, but in any case, since it is "faster" than the T3 (Tim Tillson T3) and still smooth, it looks like a good compromise between speed and smoothness.
Usage:
You can use it as any regular average or you can use the color change of the indicator as a signal.
Included
Alerts
Signals
Bar coloring
Loxx's Expanded Source Types
Variety N-Tuple Moving Averages [Loxx]Variety N-Tuple Moving Averages is a moving average indicator that allows you to create 1- 30 tuple moving average types; i.e., Double-MA, Triple-MA, Quadruple-MA, Quintuple-MA, ... N-tuple-MA. This version contains 5 different moving average types including T3. A list of tuples can be found here if you'd like to name the order of the moving average by depth: Tuples extrapolated
You'll notice that this is a lot of code and could normally be packed into a single loop in order to extract the N-tuple MA, however due to Pine Script limitations and processing paradigm this is not possible ... yet.
If you choose the EMA option and select a depth of 2, this is the classic DEMA; EMA with a depth of 3 is the classic TEMA, and so on and so forth this is to help you understand how this indicator works. This version of NTMA is restricted to a maximum depth of 30 or less. Normally this indicator would include 50 depths but I've cut this down to 30 to reduce indicator load time. In the future, I'll create an updated NTMA that allows for more depth levels.
This is considered one of the top ten indicators in forex. You can read more about it here: forex-station.com
How this works
Step 1: Run factorial calculation on the depth value,
Step 2: Calculate weights of nested moving averages
factorial(nemadepth) / (factorial(nemadepth - k) * factorial(k); where nemadepth is the depth and k is the weight position
Examples of coefficient outputs:
6 Depth: 6 15 20 15 6
7 Depth: 7 21 35 35 21 7
8 Depth: 8 28 56 70 56 28 8
9 Depth: 9 36 34 84 126 126 84 36 9
10 Depth: 10 45 120 210 252 210 120 45 10
11 Depth: 11 55 165 330 462 462 330 165 55 11
12 Depth: 12 66 220 495 792 924 792 495 220 66 12
13 Depth: 13 78 286 715 1287 1716 1716 1287 715 286 78 13
Step 3: Apply coefficient to each moving average
For QEMA, which is 5 depth EMA, the caculation is as follows
ema1 = ta.ema(src, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
ema4 = ta.ema(ema3, length)
ema5 = ta.ema(ema4, length)
qema = 5 * ema1 - 10 * ema2 + 10 * ema3 - 5 * ema4 + ema5
Included:
Alerts
Loxx's Expanded Source Types
Bar coloring
3EMATiranga3 EMAs 48 High, 48 Low and 10 Close
Trade can be taken when purple line crosses the high (green)
2 Ema Pullback StrategyHi everyone!
CAUTION... This is only an indicator. Do not rely 100% on it.
I made this indicator hoping to help everyone with this specific Pull Back Scalping Strategy.
RULES:
Time Chart of 5minuts
LONG Condition - "EMA Red Line" below the "EMA Blue Line" and wait for a green long signal.
SHORT Condition - "EMA Red Line" below the "EMA Blue Line" and wait for a red short signal
Feel free to add any adjustments or give feedback so we can improve.
The strategy idea and guidelines came from "The Master" Juan Luis.
Autor: © Germangroa
Price Action Signals V2Indicator that shows buy/sell signals based on price action and volume as it relates to a double EMA. If the candle is above the double EMA, we look for candles with long wicks on the top indicating selling pressure. If the candle is below the double EMA , we look for candles with a long bottom wick indicating buying pressure. The user defined parameters are the length of the double EMA and the length of the volume moving average. Lower timeframes such as 5 minutes and lower are better off using lower lengths while higher timeframes should user higher lengths. Your mileage will vary.
Note, while this indicator can signal the beginning of long term trends, it will also signal minor retracements. Do not blindly buy or sell based on a signal appearing, pay attention to where the candle is in the overall trend and wait for confirmation to avoid losses.
2 EMA PullbackHi everyone!
CAUTION... This is only an indicator. Do not rely 100% on it.
I made this indicator hoping to help everyone with this specific Pull Back Scalping Strategy.
RULES:
Time Chart of 5minuts
Long Condition - "EMA Red Line" below the "EMA Blue Line" and wait for a green long signal.
Short Condition - "EMA Red Line" below the "EMA Blue Line" and wait for a red short signal
Feel free to add any adjustments or give feedback so we can improve.
The strategy idea and guidelines came from the "Master Juan Luis"
Autor: © Germangroa
QUAD DEMAHey Folks,
Just created my first script, It's basically 4 DEMA in one indicator which helps you not to use multiple indicators.
It's more accurate than Exponential Moving Average & give signals much prior to the breakout, very helpful in short timeframes.
Tweak it according to your preference
Instructions to use
-When 55 DEMA crosses all the DEMA it's a clear signal for uptrend or downtrend which can potentially be a entry or exit points.
-Don't depend on this when all the DEMA's are entangled to each other.
-Use Stochastic RSI for better approach in entry.
-Most accurate in 1hr time frame for short term entry.
Enjoy!
HBDC Multiple EMAMultiple EMA indicator for trading view
This indicator can plot 6 emas using 1 indicator
ema gksthis strategy is very simple scripting to buy and sell based on crossover of exponential moving averages
ema_gkstesting my first script
this strategy is very simple scripting to buy and sell based on crossover of exponential moving averages
Support and Resistance with MACD IndicatorOriginal script from ©akpaswaniitk. I just added MACD to filter out bad trades and alert function so that we get notified whenever indicator gives us an entry signal. Most of the false breakout has been removed but the remaining ones only pop up during consolidation, so it's wait for the retest before entry. Works better in continuous market. Also look at the color of EMA for further confirmation, only focus on buy side when EMA is green and sell when EMA is red or when after the buy signal EMA changes color from red to green. These are the highly profitable setups I've found with this indicator.
Signals
Red or Green solid line with diamond are trailing stoploses
dotted black line is entry level
dotted white line is optimal exit
