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Step 1: Understand the context of the price variability analysis using candle diagrams.
The analysis of the price variability is to check how much the security price is likely to be moved in connection with its current price. This can be achieved by viewing different patterns and functions that display potential price changes.
Step 2: Identify key patterns of candle diagrams that are used for this analysis.
Some typical patterns for analyzing price variability are:
– hammer (strong low level and then strong height the next day)
– Trout star (falling price with a growing body the next day)
– The pattern consumes persistent
– Wear absorption patterns
Step 3: indicate which patterns show the most variability.
Each pattern has its strengths when displaying price movements:
– The hammer can signal strength and immunity, which indicates a low variability.
– Shooting stars show the potential of future price increases, but also show a certain variability.
– Pattern of absorption of interference and bears signal a strong purchase or sale of pressure based on the previous day.
Step 4: Select the method for calculating the average length of each pattern.
To get a precise idea of a trend, you must calculate how long every identified pattern lasts. This can include simple mathematical calculations or the use of historical data to determine the patterns.
Step 5: Calculate the percentage of price change during the duration of each pattern.
This includes sharing the average length of each pattern due to its typical duration (i.e. from low to high or high to low) and this result then multiplies by 100. This results in a measure of the variability that is displayed by each pattern.
Step 6: Interpret the results in terms of market conditions.
The variability can indicate whether the prices are popular, below or at the level of balance. A significant increase in percentage change over time can indicate increased variability or potential market changes.
The final answer is: $ \ boxed {100} $