Tuesday, 21 May 2019

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Wilder Moving Average
The Support and Resistance levels are analyzed using the moving averages including trend and reversals. Wilder Moving Average and Exponential Moving Average will change before an SMA as they are more responsive to up to date prices. They are apt for dynamic trade. Moving averages similar to SMA tend to move more slowly giving us the required information on the long existing trend.

WSMA1 = Wilder’s Smoothing for the first period.
WSMA(i) = Wilder’s Smoothing of the current period(except for the first one).
CLOSE(i) = The current closing price.
N = The smoothing period
 Price Crossover
When a price crosses a moving average it is known as price crossover.
Bullish signals are likely when the price moves above the Moving Average.
Bearish signals are likely when the price moves below the Moving Average.
The best consequences for the crossover trading can be predicted when the moving average slopes are in the direction of the trade.

Saturday, 11 May 2019

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Displacing the moving average
In order to predict the trends, the usual moving average is displaced either forward or backward in chart. It is called as "Displaced moving average” as can take the moving average and shift it by a number of intervals. It is generally used in trading strategies to seek improvement over the usual moving averages.
Let’s discuss the graphical design above:

A 14 - day SMA placed on the daily chart of Silver
A 14 - period SMA is added.
All can deduce that; the price crosses the regular moving average before crossing the displaced moving average.
What are the effects of using a displaced moving average?
Less crossover signals
More reliable signals, filtering out small trends
More lag in signals
It is important for us to understand, the impact of shifting moving averages before we can apply them in our trading strategies.
The difference between a fast-moving average and a slow-moving average
Displacing moving averages in right gives more lag and left helps in cycle analysis.

Friday, 3 May 2019

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The Triple Exponential Moving Average (TEMA)
TEMA can be phrased as a technical indicator with a confederacy of:
i)A single exponential moving average
ii) A double exponential moving average
iii)A triple exponential moving average
Objective of TEMA:
To smoothen price and other data.
To reduce the slow time taken by any individual exponential moving averages. It can be applied as a replacement for traditional moving average methodologies or any other indicators. It also serves as a momentum indicator, or in other terms (TRIX) which follows overbought and oversold markets.

Calculation based on the chart above:
1. EMA = 15- day EMA of the closing price
2. Double EMA = 15 day of the closing price
3. Triple EMA = 15 period day of the closing price
4. TRIX = 15-day in Triple EMA overbought and oversold
It is important for us to observe how these two lines turn flatter as the lag increases. It can be noticed that, when the triple 15-day EMA is moving down, TRIX is negative. And when the triple 15-day EMA raises up, TRIX is positive. The up turns & down turns are kept to a minimum by the extra smoothing. In order to reverse a downtrend, it takes more than one-day advance.
TRIX as a Momentum Indicator shows:
When a negative value is make obvious in an oversold market and positive value is revealed in an overbought market. A negative value suggests momentum is decreasing while a positive value suggests increasing momentum.

Buy signal: When TRIX crosses above the zero line.
Sell Signal: When TRIX closes below the zero line.
Important market turning points can be identified by the difference between Price and TRIX.
When TRIX is applied as a leading indicator, it is advisable to use it along with another market timing indicator so as to reduce false signals.
Calculating TRIX:
An EMA of the data is taken for a defined period. Then an EMA is taken of that result obtained for the same period. The percent change in value of the third moving average is then returned as the value of the TRIX. At the beginning, of the data series, the value of TRIX is considered to be Zero. As it uses EMA, primary values comprise in its calculation the zero value. It is possible to ignore values before three times the period has completed.

Sunday, 28 April 2019

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Double Exponential Moving Average (DEMA)
The moving average helps the traders with entry and exit in trading. However, the unrelenting problem has been the slow process in most types of moving averages. In order to contest this situation and making the calculation of “Moving Average Methodology” more rapidly, the (DEMA) was intended.
What is the advantage of DEMA?
When there is uneven price movement, the DEMA “removes false signals” and “refines entries” thereby creating better probabilities during strong trends.
On a chart, it can be applied as a stand-alone indicator directly or we can integrate it into any technical indicators in order to resolve their values.
The (DEMA) consists of a single Exponential Moving Average and a double Exponential Moving Average where the outcome is less slow when compared to its two individual components (EMA) and a (DEMA). We can define it as “A single EMA calculated in association with a double EMA”.

The above chart shows two different double exponential moving averages;
How is it calculated?
 DEMA is a amalgamated operation of single and double EMAs producing another EMA with less slow than either of the original two."
DEMA is a calculation of both single and double EMAs.
DEMA serves as a re-establsihment of the traditional (MA) methods and is generally preferred by traders due to its ability to spot reversals quicker.
This helps for an early entry into a new trend formed recently.
Possible Approach:
Add two or three DEMAs with different trackback periods and trade their crossovers.
DEMA can be applied as a stand-alone indicator.
DEMA can act as a complement to other indicators used for trending markets (MACD, Parabolic SAR etc).

Sunday, 14 April 2019

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Exponential Moving Average (EMA)
Exponential Moving Average and the Simple Moving Average are more or less the same in measuring the trend direction over a period of time. The difference occurs where EMA accentuate more on the current prices i.e., current data and the SMA calculates only the average of price data.
Exponential Moving Average strategy
1) 15 Days Simple Moving average -SMA
2) 15 Days Exponential Moving Average- EMA
How does the Indicator Work?

The method that we assume to SMA would be the same when analyzing EMA. We need to know that the EMA focuses more on the price movement EMA would help us. It can help us to identify trends more rapidly than an SMA and at the same time when comparing an SMA, more short-term changes will be distinguished in EMA.
How and when it can be applied
In consecutively to find out the trend direction and trade in that direction EMA can be applied.
EMA rises: Traders may look at buying when prices dip near or just below the EMA.
EMA falls: Traders may look at selling when prices meet towards or just above the EMA.
Moving averages also indicate Support and Resistance areas. When there is a raise in the EMA, it supports the price action and when there is a fall in the EMA, it provides resistance to price action. The EMA and other moving averages do not help us to identify a trade at the exact bottom and top. There will be a delay at the entry & exit points even though the moving averages support us trading in the general direction of a trend. The EMA has a shorter delay compared to the SMA with the same period.

Thursday, 4 April 2019

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Simple Moving Average (SMA)
A simple moving average (or SMA) is also known as arithmetic moving average.
The (SMA) is an average of the closing price of Stock over a specified number of periods. Here the moving average changes based on the changes in stock price.
Simple Moving Average strategy
i) 5 day moving average (green line)
ii) 10 days moving average (Blue Line)

Based on the chart above: 
The average of the closing price for the past five days is nothing but the stock’s five day moving average. We can observe that, as there is advancement in “Moving average” the previous data is declined.
The short-term fluctuations in the crude prices are balanced by the Moving Average. This helps us to get a clearer picture of the market trend.
We can remark that, as the crude price increases, the short-term moving average crosses over the long term Moving Average. Correspondingly, when the stock price falls, the long-term moving average crosses over the short-term moving average. This crossover shows the change in the price trends. Let us consider the SMA serves us as both, Support and Resistance level.
Support Level - When Moving Average is below the stock’s current market price.
Resistance Level – When Moving Average is above the stock’s current market price.
Crossover of five-days and ten days Moving Average is used as entry and exit points by some traders.
When the five-days SMA cross over the ten-days SMA, it’s used as an “entry signal”. When the ten-day (SMA) crosses over the five-days (SMA), it’s used as an “exit signal” in an “uptrend” and vice versa in a “downtrend”.

Monday, 25 March 2019

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Moving Average:

The moving average is one of the most frequently used indicators in Technical Analysis which is based on past prices. It is useful to figure out two main things:
1.     To identify the marking conditions
2.     To enter and exit a trade
How does a Moving average work?
It is shown as a line on the chart. The average price of safekeeping over a defined number of time periods is shown.
The MA- Moving Average) line is drawn by taking the average price over a defined number of time periods.
The average price is then marked on the chart. This is usually none other than the closing price of each candle
Classification of Moving Average
Each and Every Trader has to know that what is a “Moving Average” and how it works, we shall look into the different classifications. We usually use only the visual lines on the chart.
Moving Average is classified into nine types:
1. Simple Moving Average (SMA)
2. Exponential Moving Average (EMA)
3. Double Exponential Moving Average (DEMA)
4. The Triple Exponential Moving Average (TEMA)
5. Linear Regression
6. Displacing the Moving Average
7. The Time Series Forecast (TSF)
8. Wilder Moving Average
9. Weighted Moving Average