Views
0%

FETCHING DATA...

Dropdown with Fade-In Blur and Larger List
HARMONY 4 MARKET STATUS:
EXITS (INDICATORS) USED IN THIS MODEL:
INDICATOR
TIME-FRAME
STATUS
LAST CHANGE
STARFLUX
Navigates markets (STAR) with adaptive volatility filters to identify shifts (FLUX)
SHORT
NONE
Jan 1, 2001
GALACTIC SHIELD
Protects against risk (SHIELD) by assessing US and international ETF trends (GALACTIC)
MEDIUM
NONE
Jan 1, 2001
DELTA-V
Change (DELTA) in market velocity (V)
LONG
NONE
Jan 1, 2001
CURRENT ALLOCATION
SECTOR
ALLOCATION
ETF EXAMPLE
MUT. FND. EX.
Name
xx.x
XXX
XXXXX
NITROGEN RISK SCORE

The Risk NumberĀ® from Nitrogen is an objective, quantitative measurement of an investor’s true risk tolerance and the risk in a portfolio. The patented technology calculates a ā€œrisk scoreā€ on a scale from 1-99, utilizing a scientific framework that won the Nobel Prize for Economics.

LEARN MORE
HARMONY MODEL LEVELS AT A GLANCE
MODEL
HARMONY 1HARMONY 2HARMONY 3HARMONY 4
YTD RETURN
x.xx
%
x.xx
%
x.xx
%
x.xx
%
HISTORICAL PERFORMANCE OF HARMONY 4 AGAINST BENCHMARKS
MODEL
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
YTD
ITD
MDD
HARMONY 4
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
S&P 500 (SPY)
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
60/40 (VBINX)
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
1.23%
Model Description

The Harmony Model uses a quantitative analysis-based identification of the current Market Condition: Positive, Neutral or Negative.

Pre-selected model choices are then automatically applied to each Market Condition, reflecting escalating levels of market exposure - below shows level 4.

The Market Condition is determined by the number of the timeframe indicators that are positive. The three timeframe indicators are the STARFLUX, GALACTIC SHIELD, and DELTA-V indicators. When all 3 are positive, the Market Condition is Positive, when all 3 are negative, the Market Condition is Negative, and when there is a mixture of positive and negative, the Market Condition is Neutral.

Construction

The Harmony 4 models portfolio construction varies by market status.

When postive, it uses the ETF SSO (Prior to the inception of SSO it used the MF ULPIX).

When neutral, it invests in the top 5 type 1 and 2 ETFs from the Equity Asset Class Ranking table on the INDICATORS and RANKINGS page.

When negative, it invests in the ETF SDS (Prior to the inception of SDS it used the MF URPIX). See the other model's pages for details on the composition and rules for movement and allocation.

SCHEDULED ACTIVITY
UNCHEDULED ACTIVITY
IN THE MARKET
OUT OF THE MARKET
ADDITIONAL INFORMATION
WHEN HARMONY 4 IS IN A POSITIVE POSITION - USE 2X LEVERAGED S&P500 (Mt Fd ULPIX ETF SSO)
None.
Unscheduled activity occurs when the model changes market status
When DELTA-V, GALACTIC SHIELD, & STARFLUX indicators are positive.
When at least one indicator is negative.
None.
WHEN HARMONY 4 IS IN EITHER NEUTRAL POSITION - FOLLOWS THE BUY/REPLACE MODEL
Quarterly reallocation.
Unscheduled activity occurs when the model changes market status
When indicator statuses are mixed.
When indicators are either all positive or all negative.
None.
WHEN HARMONY 4 IS IN A NEGATIVE POSITION - USE -2X INVERSE LEVERAGEDĀ S&P500 (ProFunds URPIX)
None.
Unscheduled activity occurs when the model changes market status
When DELTA-V, GALACTIC SHIELD & STARFLUX indicators are negative.
When at least one indicator is positive.
None.

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 ten‐year 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.