Short term movements (one day's action ) are "random"; driven by rumor, headline reaction, supply and demand flow ( "funds" big block purchases and sales ), etc. The key to statistical success and "deep" geometric compounding, is in building investment models based on statistically significant quantitatively based variables keyed off of "long term" trends ( multi months, years ). Long term trends relating to the general equity market, reflect the assimilation and integration of macro information ( expected earnings, Federal monetary flows, fiscal decisions, underlying economic strength/ contraction, etc. ) that is pertinent to trend "persistence" and higher incidence of positively skewed statistical outcomes.
In terms of a quantitative measure / rationale of the oil sector's strength, over the last 30 years, the oil services sector has shown a statistically significant "edge" in the winter / spring months ( Bolds = risk management variable / reduce to 50% allocation ).
Energy services winter / spring months
1986 -5.5%
1987 13.0%
1988 15.0%
1989 11.4%
1990 4.7%
1991 10.2%
1992 3.3%
1993 23.8%
1994 -2.8%
1995 21.4%
1996 17.7%
1997 -5.5%
1998 30.5%
1999 65.2%
2000 16.0%
2001 3.8%
2002 14.3%
2003 2.7%
2004 3.4%
2005 4.4%
2006 5.6%
2007 17.7%
2008 9.9%
2009 25.7%
2010 9.0%
2011 5.4%
2012 -1.5%
2013 -2.5%
2014 15.6%
2015 6.4%
2016 ?