Portola Pharmaceuticals, Inc. (PTLA) Money Flow Index Levels in Focus

The Money Flow Index of Portola Pharmaceuticals, Inc. (PTLA) this week has placed the shares on the radar as it nears the key 70 or 80 level.  At the time of writing the MFI is holding above 60 and trending higher for the name.  The Money Flow Index creates a ratio of Positive Money Flow and Negative Money Flow over time and scales it to a number between 0 and 100. The MFI value can be used to evaluate overbought and oversold conditions in a security the index moves above or below a certain reference level. Divergence between MFI and the price direction can also be indicative of a reversal. If price is trending higher and MFI is decreasing over that period, a market top may occur.

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Taking a further look into the shares from a technical standpoint, Portola Pharmaceuticals, Inc. (PTLA) presently has a 14-day Commodity Channel Index (CCI) of 104.1. Typically, the CCI oscillates above and below a zero line. Normal oscillations tend to stay in the range of -100 to +100. A CCI reading of +100 may represent overbought conditions, while readings near -100 may indicate oversold territory. Although the CCI indicator was developed for commodities, it has become a popular tool for equity evaluation as well.

The 14-day ADX for Portola Pharmaceuticals, Inc. (PTLA) is currently sitting at 17.41. Generally speaking, an ADX value from 0-25 would indicate an absent or weak trend. A value of 25-50 would indicate a strong trend. A value of 50-75 would signal a very strong trend, and a value of 75-100 would indicate an extremely strong trend. The ADX is a technical indicator developed by J. Welles Wilder used to determine the strength of a trend. The ADX is often used along with the Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI) to identify the direction of the trend.

Moving average indicators are used widely for stock analysis. Many traders will use a combination of moving averages with different time frames to help review stock trend direction. One of the more popular combinations is to use the 50-day and 200-day moving averages. Investors may use the 200-day MA to help smooth out the data a get a clearer long-term picture. They may look to the 50-day or 20-day to get a better grasp of what is going on with the stock in the near-term. Narrowing in on Moving Averages, the 200-day for Portola Pharmaceuticals, Inc. (PTLA) is at 32.41, the 50-day is 21.85, and the 7-day is resting at 20.93. The RSI is computed based on the speed and direction of a stock’s price movement. The RSI is considered to be an internal strength indicator, not to be confused with relative strength which is compared to other stocks and indices. The RSI value will always move between 0 and 100. One of the most popular time frames using RSI is the 14-day. The 14-day RSI is presently standing at 49.46, the 7-day sits at 51.5, and the 3-day is resting at 38.74.

Investors may be watching other technical indicators such as the Williams Percent Range or Williams %R. The Williams %R is a momentum indicator that helps measure oversold and overbought levels. This indicator compares the closing price of a stock in relation to the highs and lows over a certain time period. A common look back period is 14 days. Portola Pharmaceuticals, Inc. (PTLA)’s Williams %R presently stands at -48.46. The Williams %R oscillates in a range from 0 to -100. A reading between 0 and -20 would indicate an overbought situation. A reading from -80 to -100 would indicate an oversold situation.

The stock market can be influenced by many different factors such as news, politics, earnings reports, or even company rumors. Often times the market may not react as expected to certain events. This may cause the investor to become frustrated at times. Sometimes certain market moves may seem to go against prevailing logic. This is why it can be extremely hard to predict near-term moves with any certainty. Taking a big picture look at the financial markets may help offer a clearer picture of how all the different aspects contribute to market movements. Figuring out why a certain move happened may help shed some light when the same scenario arises again in the future.

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