XBI’s moving averages
The SPDR S&P Biotech ETF (XBI) has 86 stocks in its portfolio. On June 15, 2016, 22% of XBI’s stocks were trading above their 20-day moving averages, 47% were trading above their 50-day moving averages, and 50% were trading above their 100-day moving averages.
The above graph shows the percentage of XBI’s holdings and their moving averages on a week-over-week basis. Of XBI’s 86 stocks, 19 stocks were trading above their 20-day moving averages, 40 were trading above their 50-day moving averages, and 43 were trading above their 100-day moving averages.
What’s XBI’s moving average trend?
On June 15, 2016, XBI closed at $54.74. It was trading above its 20-day and 50-day moving averages. XBI’s 20-day moving average is $56.30. On June 8, 2016, its 20-day moving average was $55.10. This indicates an upward trend.
Some stocks trading above their 20-day and 100-day moving averages
Vertex Pharmaceuticals (VRTX), Acadia Pharmaceuticals (ACAD), Ironwood Pharmaceuticals (IRWD), and Novavax (NVAX) are a few of XBI’s 19 stocks that are trading above their 20-day moving averages. We’ll also take a look at these stocks’ trend for the 100-day moving averages as well.
The XBI stocks trading above their 20-day moving averages include:
- Vertex was $87.80 on June 8 and $89.90 on June 15
- Acadia was $33.80 on June 8 and $36.50 on June 15
- Ironwood was $11.80 on June 8 and $12.4 on June 15
- Novavax was $5.40 on June 8 and $5.9 on June 15
All four stocks showed upward trends.
The stocks’ trends for the 100-day moving averages are as follows:
- Vertex was $86.60 on June 8 and $86.30 on June 15
- Acadia was $26.30 on June 8 and $27.10 on June 15
- Ironwood was $10.40 on June 8 and $10.60 on June 15
- Novavax was $5.20 on June 8 and $5.20 on June 15
Novavax’s 100-day moving average remained the same. All of the other stocks mentioned above showed upward trends.
Moving averages help investors identify price trends and compare stocks’ current prices with their various moving average prices. This can help investors identify support and resistance levels and make informed investment decisions.