Actual patterns
Patterns are graphical models which are formed in the chart by the price. According to one of the technical analysis postulates, history (price movement) repeats itself. It means that the price movements are often similar in the same situations which makes it possible to predict the further development of the situation with a high probability.
Relevant patterns by InstaTrade is an easy-to-use service which allows you to be aware of latest changes in the market and react to clues from the market in time. In our service you will always find the latest and most relevant patterns on any pair and any timeframe.
Bullish pennant
was formed on 13.05 at 21:28:19 (UTC+0)
signal strength 1 of 5
The Bullish pennant signal – Trading instrument #AAPL M5, continuation pattern. Forecast: it is possible to set up a buy position above the pattern’s high of 213.35, with the prospect of the next move being a projection of the flagpole height.
The M5 and M15 time frames may have more false entry points.
See Also
- All
- All
- Bearish Rectangle
- Bearish Symmetrical Triangle
- Bearish Symmetrical Triangle
- Bullish Rectangle
- Double Top
- Double Top
- Triple Bottom
- Triple Bottom
- Triple Top
- Triple Top
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- All
- Buy
- Sale
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Double Top
was formed on 06.08 at 08:31:01 (UTC+0)
signal strength 3 of 5
The Double Top reversal pattern has been formed on AUDCHF M30. Characteristics: the upper boundary 0.5238; the lower boundary 0.5213; the width of the pattern is 26 points. Sell trades
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Bullish Rectangle
was formed on 06.08 at 07:46:06 (UTC+0)
signal strength 3 of 5
According to the chart of M30, GBPJPY formed the Bullish Rectangle. The pattern indicates a trend continuation. The upper border is 196.44, the lower border is 196.07. The signal means
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Bullish Rectangle
was formed on 06.08 at 07:36:36 (UTC+0)
signal strength 2 of 5
According to the chart of M15, GBPJPY formed the Bullish Rectangle. This type of a pattern indicates a trend continuation. It consists of two levels: resistance 196.44 and support 196.07
The M5 and M15 time frames may have more false entry points.
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