General Property Trust (GPT)

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General Property Trust (GPT): Signals

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TECHNICAL ANALYSIS SUMMARY

General Property Trust (GPT.AX)


Indicator:

EXPONENTIAL MOVING AVERAGE


Last Signal:

BULLISH


Trading: BUY @ $6.12
Signal Strength: STRONG
Recommendation:

Indicator can be used in isolation or in additional to another technical indicator to confirmation for trading entry. This indicator has the ability to highlight trends across numerous timeframes. This indicator has the ability to smooth historical results to illustrate trend initiation and status. Although this is a simple trend following indicator & can provide good results when coupled with the right indicator. Note, this indicator does not work well in ranging markets producing unwanted whipsaws and false signals.


General Property Trust (ASX:GPT) currently has a confirmed uptrend. Recent trading has caused the EMA 15 day average to exceed the closing price confirming the short term trend following indicator. Currently, the return on EMA15 is 0.3%.



An exponential moving average (EMA) is a type of moving average that is similar to a simple moving average except that more weight is given to the latest data. It’s also known as the exponentially weighted moving average. This type of moving average reacts faster to recent price changes than a simple moving average.

Calculation: Exponential Moving Average:
1) Initial SMA: n period sum / n;
2) Multiplier: (2 / (Time periods + 1));
3) EMA: {Close – EMA (previous day)} x multiplier + EMA (previous day).


PROFILE: General Property Trust (GPT.AX)


Stock Exchange: ASX
Company: General Property Trust
Ticker Codes: | GPT.AX | ASX:GPT |

About General Property Trust (ASX:GPT):

The GPT Group is one of Australia's largest diversified property groups and a top 50 ASX listed company by market capitalisation. GPT owns and manages a $20 billion portfolio of offices, logistics, business parks and prime shopping centres across Australia. The Group has a substantial investor base with more than 35,000 shareholders.

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Exponential Moving Average

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