This link has been bookmarked by 5 people . It was first bookmarked on 12 Aug 2007, by Wesley Shu.
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18 Nov 14
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based on the closing prices of a recent trading period.
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06 Aug 12
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For each trading period an upward change U or downward change D is calculated. Up periods are characterized by the close being higher than the previous close:
Conversely, a down period is characterized by the close being lower than the previous period's (note that D is nonetheless a positive number),
If the last close is the same as the previous, both U and D are zero. The average U and D are calculated using an n-period exponential moving average (EMA) in the AIQ version (but with an equal-weighted moving average in Wilder's original version).[3] The ratio of these averages is the relative strength or relative strength factor:
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If the average of D values is zero, then the RSI value is defined as 100.
The relative strength factor is then converted to a relative strength index between 0 and 100:[3]
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The slope of the RSI is directly proportional to the velocity of a change in the trend. The distance traveled by the RSI is proportional to the magnitude of the move.
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12 Apr 11
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21 Feb 09
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12 Aug 07
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For each day an upward change U or downward change D amount is calculated.[3] On an up day, ie. today's close higher than yesterday's,
- U = closetoday − closeyesterday
- D = 0
Or conversely on a down day (notice D is a positive number),
- U = 0
- D = closeyesterday − closetoday
If today's close is the same as yesterday's, both U and D are zero. An average U is calculated with an exponential moving average using a given N-days smoothing factor, and likewise for D. The ratio of those averages is the Relative Strength,
This is converted to a Relative Strength Index between 0 and 100,
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![RS = { EMA[N] \; of \; U \over EMA[N] \; of \; D }](http://upload.wikimedia.org/math/2/0/6/206954953516f2c520c586391a2cbc2f.png)
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![RSI = 100 \times { EMA[N]\;of\;U \over (EMA[N]\;of\;U) + (EMA[N]\;of\;D) }](http://upload.wikimedia.org/math/8/1/5/8153b94a437a2d27a0b2338e6ed33916.png)
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Wilder considered a security overbought if it reached the 70 level, meaning that the speculator should consider selling. Or conversely oversold at the 30 level.
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Large surges and drops in securities will affect RSI, but it could just be a false buy or sell. The RSI is best used as a complement with other technical analysis indicators.
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The principle is that when there's a high proportion of daily movement in one direction it suggests an extreme, and prices are likely to reverse.
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