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From: 2025-02-20 To: 2025-05-01
HQ Analysis of FNGU / MAGS
Symbol Title Sector Industry M.Cap.[M] Div Yield Last Close AvgVol 200d
FNGU MicroSectors FANG+ Index 3X Leveraged ETN 433.9 831366
MAGS Roundhill Magnificent Seven ETF 0.0072 55.58 2092370
There was not enough historical data preceeding 2025-02-20 available to plot all correlations and perform all backtests.
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Orthogonal Spread Analysis

Here we apply an orthogonal regression (also known as total least squares) to both price series. We are interested in some key statistical properties (like β, ...) and in analysing orthogonal residuals:

TLS: FNGU*(t) = β * MAGS*(t) + α
Regression coefficient α:
-33.262572
Regression coefficient β:
1.028260
Standard Deviation (σ):
0.427322
ADF test of residuals (p-value):
0.0107
95% confidence: residuals don't contain a unit root
99% confidence: residuals seem to contain a unit root
Mean Reversion Coefficient (MRC):
-0.450684
Half-life:
1.54
Skewness:
-0.0546
Kurtosis:
-0.9089
Doornik-Hansen normality test (p-value):
0.4237
Normality test failed at 95% confidence
0.4193
Normality test failed at 95% confidence
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Cointegration Analysis

In this section, Engle-Granger cointegration test is performed using OLS regression method in both directions. Residuals of the regression are plotted and analyzed further:

FNGU / MAGS
MAGS / FNGU
FB LN TW

Disclaimer: Backtested, simulated or hypothetical performance results have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. There are numerous factors related to the stock market in general and to the implementation of any stock market timing program, which cannot be fully accounted for in the preparation of hypothetical performance results. The backtested results listed here do not take into consideration slippage, fees, taxes, or dividends and interest earned on cash positions. These factors would affect actual trading results. Simulated, backtested or hypothetical stock trading systems in general are also subject to the fact that they are designed with the benefit of hindsight. Backtested performance does not represent actual performance and should not be interpreted as an indication of such performance. No representation is being made that you will or is likely to achieve profits or losses similar to these being shown. This site provides impersonal educational stock trading information, and therefore, no consideration can or is made toward your financial circumstances. All material presented within is not to be regarded as investment advice, but for general informational purposes only.