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The last price of a Heikin-Ashi candle is calculated by the average price of the current bar or timeframe (e.g., a daily timeframe would have each bar represent the price movements of that specific day). The formula for the last price of the Heikin-Ashi bar or candle is calculated by: (open + high + low + close) 4. [6]
While similar in appearance to a bar chart, each candlestick represents four important pieces of information for that day: open and close in the thick body, and high and low in the "candle wick". Being densely packed with information, it tends to represent trading patterns over short periods of time, often a few days or a few trading sessions.
For example, a 50-day moving average and a 200-day moving average generate unique buy and sell signals that may work in one time frame but not the other. Simple Moving Average (SMA)
For example, if the recent, say 10-day, average true range is 0.5% of current market price, stop loss could be set at 4x0.5% = 2%. Conventional wisdom on stop losses set the risk per trade anywhere between 1%-5% of capital for a single trade; this risk varies from one trader to another.
For example, the 50-day moving average represents the stock’s average price over the past 50 days of trading. In the case of the 200-day moving average, it shows the stock’s average closing ...
Some commercial packages, like AIQ, use a standard exponential moving average (EMA) as the average instead of Wilder's SMMA. The smoothed moving averages should be appropriately initialized with a simple moving average using the first n values in the price series. The ratio of these averages is the relative strength or relative strength factor:
The percentages part of this budgeting strategy — 50%, 30% and 20% — are not hard-and-fast rules. ... Say you earn $2,500 after taxes but owe $15,000 on credit cards with an average 21% APR ...
A moving average is commonly used with time series data to smooth out short-term fluctuations and highlight longer-term trends or cycles - in this case the calculation is sometimes called a time average. The threshold between short-term and long-term depends on the application, and the parameters of the moving average will be set accordingly.