Moneyflow. Developed by Marc Chaikin, Chaikin Money Flow measures the amount of Money Flow Volume over a specific period. Money Flow Volume forms the basis for the Accumulation Distribution Line. Instead of a cumulative total of Money Flow Volume, Chaikin Money Flow simply sums Money Flow Volume for a specific.

Moneyflow

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Moneyflow. The Money Flow Index (MFI) is a momentum indicator that measures the flow of money into and out of a security over a specified period of time. It is related to the Relative Strength Index (RSI) but incorporates volume, whereas the RSI only considers price. The MFI is calculated by accumulating positive and negative Money.

Moneyflow


MFI starts with the typical price for each period. Money flow is positive when the typical price rises buying pressure and negative when the typical price declines selling pressure. A ratio of positive and negative money flow is then plugged into an RSI formula to create an oscillator that moves between zero and one hundred.

As a momentum oscillator tied to volume, the Money Flow Index MFI is best suited to identify reversals and price extremes with a variety of signals.

There are several steps involved in the Money Flow Index calculation. The example below is based on a period Money Flow Index, which is the default setting in SharpCharts and the setting recommended by the creators. First, notice that Raw Money Flow is essentially dollar volume because the formula is volume multiplied by the typical price. Raw Money Flow is positive when the typical price advances from one period to the next and negative when the typical price declines.

The Raw Money Flow values are not used when the typical price is unchanged. The RSI formula is then applied to create a volume-weighted indicator. The table below shows a calculation example taken from an excel spreadsheet. The big difference is, of course, volume.

Theories suggest that volume leads prices. RSI is a momentum oscillator that already leads prices. Incorporating volume can increase this lead time. Quong and Soudack identified three basic signals using the Money Flow Index. First, chartists can look for overbought or oversold levels to warn of unsustainable price extremes. Second, bullish and bearish divergence can be used to anticipate trend reversals. Third, failure swings at 80 or 20 can also be used to identify potential price reversals.

For this article, the divergences and failure swings are be combined to create one signal group and increase robustness. Overbought and oversold levels can be used to identify unsustainable price extremes.

Strong trends can present a problem for these classic overbought and oversold levels. Quong and Soudack recommended expanding these extremes to further qualify signals. A move above 90 is truly overbought and a move below 10 is truly oversold.

Moves above 90 and below 10 are rare occurrences that suggest a price move is unsustainable. However, chartists can use the StockCharts. Links to such scans are provided at the end of this article. The preceding declines were sharp enough to produce these readings, but the oversold extremes suggested that these declines were unsustainable.

Oversold levels alone are not reason enough to turn bullish. Some sort of reversal or upturn is needed to confirm that prices have indeed turned a corner.

JBHT confirmed the first oversold reading with a gap and trend line break on good volume. The stock confirmed the second oversold reading with a resistance breakout on good volume. Extremes in MFI suggested that these advances were unsustainable and a pullback was imminent. The first overbought reading led to a sizable decline, but the second did not. Notice that ARO peaked with the first overbought reading and formed lower highs into October.

The late October support break signaled a clear trend reversal. After the December overbought reading, ARO moved above 23 and consolidated. There were two down gaps and a support break, but these did not hold. Price action was stronger than the overbought reading. ARO ultimately broke resistance at 24 and surged back above The second signal did not work.

Failure swings and divergences can be combined to create more robust signals. A bullish failure swing occurs when MFI becomes oversold below 20, surges above 20, holds above 20 on a pullback and then breaks above its prior reaction high. A bullish divergence forms when prices move to a lower low, but the indicator forms a higher low to show improving money flow or momentum.

First, notice how the stock formed a lower low in February and MFI held well above its January low for a bullish divergence. Second, notice how MFI dipped below 20 in January, held above 20 in February and broke its prior high in late February.

This signal combination foreshadowed a strong advance in March. A bearish failure swing occurs when MFI becomes overbought above 80, plunges below 80, fails to exceed 80 on a bounce and then breaks below the prior reaction low.

A bearish divergence forms when the stock forges a higher high and the indicator forms a lower high, which indicates deteriorating money flow or momentum. On the Aetna chart above, a bearish divergence and failure swing formed in August-September. The stock moved to a new high in September, but MFI formed a significantly lower high.

A bearish failure swing occurred as MFI became overbought above 80 in late August, failed to reach 80 with the September bounce and broke the prior lows with a decline in late September.

RSI momentum generally favors the bulls when the indicator is above 50 and the bears when below Even though MFI is considered a volume-weighted RSI, using the centerline to determine a bullish or bearish bias does not work as well.

As with all indicators, MFI should not be used by itself. The Money Flow Index is available as a SharpCharts indicator that can be placed above, below or behind the price plot of the underlying security. Placing MFI directly behind the price makes it easy to compare indicator swings with price movements. The default setting is periods, but this can be adjusted to suit analysis needs.

A shorter timeframe makes the indicator more sensitive. A longer timeframe makes it less sensitive. Two lines can be added by separating the numbers with a comma: Consider this a starting point for further analysis and due diligence. Log In Sign Up Help.


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