XLF Bullish View Trailing stop lossXLF Bullish view
1. False break of long term support on Monthly chart
2. 5 days in the bottom price zone against the downtrend.
3. Gap Up break form 5 days consolidation on the support.
Key stats
About SPDR Select Sector Fund - Financial
Expense ratio
0.09%
Home page
Inception date
Dec 16, 1998
XLF offers efficient exposure to the heavyweights in the US financials segment. Its cap-weighted, S&P 500-only portfolio means that its concentrated in large banks and avoids small-caps. For many investors and traders, XLF has been the go-to ETF for financials exposure, although there are more comprehensive funds out there for long-term exposure. Note: XLF spun off its real estate exposure in September 2016, consistent with the GICS reclassification that elevated real estate to sector-level status. The change was material: Real estate comprised about 20% of the fund at the time. For each share held, XLF shareholders as of 9/16/16 received 0.139146 shares of XLRE, State Street Global Advisors' real estate ETF. (Immediately prior to the distribution, XLF had swapped its REITs for shares of XLRE.)
Classification
What's in the fund
Exposure type
Finance
Commercial Services
Stock breakdown by region
Sunday Prep 10/10 - $XLF Pullbacks can Offer Long OpportunitiesFinancials still look extremely strong as well, making higher lows and higher highs. Pullbacks can very well offer long opportunities. We also may get some extension on it, since we just broke out. Depends on the overall market though, but the weekly chart looks great on this
Wedge Down on XLFAs seen on the graph, the price of the XLF ETF is creating a Down Wedge pattern. We recommend placing a long position.
Symmetric Triangle on XLFA symmetric triangular pattern is forming on XLF, on this pattern depending on how the price breaks, two different positions can be placed.
Ascending Channel in XLFIn the chart of XLF we can see and ascending channel, in wich we can open a long position.
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Displays a symbol's price movements over previous years to identify recurring trends.