FETCHING DATA...
- Buy/Replace
- Buy/Replace w/STARPATH
- CALENDAR EFFECTS
- DELTA-V
- DELTA-V w/STARPATH
- DELTA-V+CALENDAR (DV+CE)
- DELTA-V+CALENDAR w/STARPATH
- Harmony 1
- Harmony 2
- Harmony 3
- Harmony 4
- Long Cash
- Sector Rotation 2 / Cash
- Long Short
- Sector Rotation 2 / Short
- Optimum Bond
- Multi-Sector Bond
- Risk Managed Energy or DV+CE
- Risk Managed Energy or Opt.Bnd.
- Risk Managed Energy or SR2
- Risk Managed Gold or DV+CE
- Risk Managed Gold or Opt.Bnd.
- Risk Managed Gold or SR2
- Sector Rotation
- Sector Rotation Leveraged
- Sector Rotation 2
- Star Min/Max 10/30
- Star Min/Max 20/60
- Star Min/Max 30/90
- Star Min/Max 0/100
The Risk NumberÂŽ from Nitrogen is an objective, quantitative measurement of an investorâs true risk tolerance and the risk in a portfolio. The patented technology calculates a ârisk scoreâ on a scale from 1-99, utilizing a scientific framework that won the Nobel Prize for Economics.
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Otherwise, this follows the DELTA-V+CALENDAR model.
Typical trends last several years.
The Risk-Managed Energy Model is a longer-term low-activity Model whose goal is to identify and invest in longer-term uptrends in Energy, while managing the risk of investing in this highly volatile market by identifying and avoiding its longer-term downtrends. Trends are identified by the proprietary Energy ASTROTREND. When Energy is in a downtrend, funds are invested in a non-Energy model.
When the Risk-Managed Energy Mode's ASTROTREND is positive (above zero), 100% of funds are invested in shares of XLE, an energy sector ETF. When the Energy ASTROTREND is negative (below zero), 100% of funds are invested in the DELTA-V+Calendar model.
Visit the online Portfolio Toolkit for positions.
The performance returns illustrated do not represent actual client accounts and are net of the highest management fee and trading costs which is 0.80%. Returns reflect since inception, one, five and tenâyear periods, and are reflected in U.S. dollars and assume that dividends are reinvested.
The strategies employed may involve technical trading techniques such as trend analysis, relative strength, moving averages, various momentum and related strategies. Technical trading models utilize mathematical algorithms to attempt to identify when markets are likely to increase or decrease and identify appropriate entry and exit points. The primary risk of technical trading models is that historical trends and past performance cannot predict future trends and there is no assurance that the mathematical algorithms employed are designed properly, new data is accurately incorporated, or the software can accurately predict future market, industry and sector performance.



