Quantified Tactical Sectors Fund Quote
QTSSX Fund | USD 6.33 0.03 0.48% |
PerformanceVery Weak
| Odds Of DistressLow
|
Quantified Tactical is trading at 6.33 as of the 24th of March 2025; that is 0.48 percent up since the beginning of the trading day. The fund's open price was 6.3. Quantified Tactical has about a 22 % chance of experiencing some form of financial distress in the next two years of operation but has generated negative returns over the last 90 days. The performance scores are derived for the period starting the 24th of December 2024 and ending today, the 24th of March 2025. Click here to learn more.
The fund is aggressively managed by the Subadviser using a tactical strategy that typically results in high portfolio turnover. Tactical asset allocation is an active portfolio management strategy that shifts the percentage of assets held in various sectors to seek to take advantage of what the Subadviser believes are the strongest market sectors. More on Quantified Tactical Sectors
Moving together with Quantified Mutual Fund
0.82 | SAPEX | Spectrum Advisors | PairCorr |
0.98 | QMLAX | Quantified Market Leaders | PairCorr |
0.98 | QMLFX | Quantified Market Leaders | PairCorr |
Moving against Quantified Mutual Fund
Quantified Mutual Fund Highlights
Fund Concentration | Advisors Preferred Funds, Large Blend Funds, Large Blend, Advisors Preferred (View all Sectors) |
Update Date | 31st of March 2025 |
Quantified Tactical Sectors [QTSSX] is traded in USA and was established 24th of March 2025. Quantified Tactical is listed under Advisors Preferred category by Fama And French industry classification. The fund is listed under Large Blend category and is part of Advisors Preferred family. Quantified Tactical at this time has accumulated 73.74 M in assets with minimum initial investment of 10 K.
Check Quantified Tactical Probability Of Bankruptcy
Instrument Allocation
Sector Allocation
Investors will always prefer to have their portfolios divercified against different sectors. The broad sector allocation increases the possibility of making a profit or at least avoiding a loss. However, this may also reduce the expected return on Quantified Mutual Fund. Generally, it depends on diversification level and type but usually, the broader the sector allocation, the less risk can be expected from holding Quantified Mutual Fund, and the less return is expected.
Institutional investors that are interested in enforcing a sector tilt in their portfolio can use exchange-traded funds, such as Quantified Tactical Sectors Mutual Fund, as a low-cost alternative to building a custom portfolio. So, using sector ETFs to diversify your portfolio can be a profitable strategy. However, no matter what sectors are desirable at a given time, no single industry should ever make up more than 20 percent of your stock portfolio.
Top Quantified Tactical Sectors Mutual Fund Constituents
FGZXX | First American Funds | Money Market Fund | US Money Market Fund | |
KRE | SPDR SP Regional | Etf | Financial | |
PEJ | Invesco Dynamic Leisure | Etf | Consumer Cyclical | |
XLF | Financial Select Sector | Etf | Financial |
Quantified Tactical Risk Profiles
Mean Deviation | 1.19 | |||
Standard Deviation | 1.55 | |||
Variance | 2.4 | |||
Risk Adjusted Performance | (0.13) |
Quantified Tactical Against Markets
Other Information on Investing in Quantified Mutual Fund
Quantified Tactical financial ratios help investors to determine whether Quantified Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Quantified with respect to the benefits of owning Quantified Tactical security.
Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets |