Professional Seasonal Analysis for Trading

MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 (FNGO)

Seasonality Analysis

ETFs 8 Years Analyzed

MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 Annual Seasonality Statistics

42.04%
Avg Annual Return
55.4%
Avg Monthly Win Rate
7/12
Positive Months
8
Years Analyzed

MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January 9.52%
75%
Very Strong
February -4.05%
38%
Very Weak
March -4.15%
38%
Very Weak
April 7.00%
63%
Strong
May 6.98%
57%
Moderate
June BEST 12.79%
86%
Very Strong
July 6.19%
71%
Very Strong
August 4.68%
50%
Weak
September WORST -4.92%
25%
Very Weak
October -1.11%
50%
Weak
November 9.26%
63%
Strong
December -0.14%
50%
Weak

MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 2026 vs Historical Pattern

Current Position
93.3
Historical Avg Position
34.46
Deviation
+58.84
Performance
Significantly Above Average

MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 Interactive Seasonality Chart

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MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 Pattern Scanner

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MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 Seasonal Historical Performance

Historical Performance

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About MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 (FNGO) Seasonality

MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 (FNGO) has been analyzed using 8 years of historical data to identify seasonal patterns. Classified under ETFs, MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 shows distinct seasonal tendencies based on historical data.

The strongest month for MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 is historically June, with an average return of 12.79% and a win rate of 86%. Conversely, September tends to be the weakest month, averaging -4.92% return.

Looking at the full calendar year, MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 has an average annual return of 42.04% with an overall monthly win rate of 55.4%. Out of 12 months, 7 typically show positive average returns.

The seasonal pattern for MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 has a consistency score of 55.7 (Fair), based on 9 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 Seasonality FAQ

What is the best month to buy MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 (FNGO)?

Historically, June has been the best month for MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038, with an average return of 12.79% and a win rate of 86%. However, past performance does not guarantee future results.

What is the worst month for MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 (FNGO)?

Based on historical data, September has been the weakest month for MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038, with an average return of -4.92%. This is a historical observation and does not guarantee future results.

How reliable is FNGO seasonality data?

The seasonality analysis for MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 is based on 8 years of historical price data. While seasonal patterns can provide useful insights, they should be combined with other forms of analysis. Past patterns do not guarantee future performance.

How can I use MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 seasonality in my trading?

Use MicroSectors FANG Index 2X Leveraged ETNs due January 8, 2038 (FNGO) seasonality as one factor in your analysis. Identify historically strong and weak months, combine with other research methods. SeasOptima provides premium tools including interactive charts, pattern scanning, and historical performance data for deeper analysis.

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Statistical information based on historical data. Does not constitute investment advice or recommendation. Past performance does not guarantee future results.