Professional Seasonal Analysis for Trading

Fidelity National Financial, Inc. Common Stock (FNF)

Seasonality Analysis

Stocks 21 Years Analyzed

Fidelity National Financial, Inc. Common Stock Annual Seasonality Statistics

9.50%
Avg Annual Return
55.8%
Avg Monthly Win Rate
7/12
Positive Months
21
Years Analyzed

Fidelity National Financial, Inc. Common Stock Monthly Seasonality Performance

Month Avg Return Win Rate Strength
January 3.06%
62%
Strong
February -0.26%
52%
Weak
March 0.01%
71%
Moderate
April -0.29%
52%
Weak
May 0.68%
55%
Moderate
June WORST -4.00%
30%
Very Weak
July 3.12%
75%
Very Strong
August 0.88%
60%
Moderate
September -0.23%
40%
Weak
October -3.29%
38%
Very Weak
November BEST 6.28%
90%
Very Strong
December 3.55%
43%
Weak

Fidelity National Financial, Inc. Common Stock 2026 vs Historical Pattern

Current Position
35.96
Historical Avg Position
38.64
Deviation
-2.68
Performance
On Track

Fidelity National Financial, Inc. Common Stock Interactive Seasonality Chart

Interactive Seasonality Chart

Unlock the full interactive seasonality chart for FNF with overlay patterns, custom date ranges, and more.

Create Free Account

Fidelity National Financial, Inc. Common Stock Pattern Scanner

Pattern Scanner

Discover recurring patterns, anomalies, and statistically frequent setups.

Create Free Account

Fidelity National Financial, Inc. Common Stock Seasonal Historical Performance

Historical Performance

See historical average returns for FNF across multiple timeframes.

Create Free Account

About Fidelity National Financial, Inc. Common Stock (FNF) Seasonality

Fidelity National Financial, Inc. Common Stock (FNF) has been analyzed using 21 years of historical data to identify seasonal patterns. Classified under Stocks, Fidelity National Financial, Inc. Common Stock shows distinct seasonal tendencies based on historical data.

The strongest month for Fidelity National Financial, Inc. Common Stock is historically November, with an average return of 6.28% and a win rate of 90%. Conversely, June tends to be the weakest month, averaging -4.00% return.

Looking at the full calendar year, Fidelity National Financial, Inc. Common Stock has an average annual return of 9.50% with an overall monthly win rate of 55.8%. Out of 12 months, 7 typically show positive average returns.

The seasonal pattern for Fidelity National Financial, Inc. Common Stock has a consistency score of 40.7 (Poor), based on 22 years of data. Higher consistency means the seasonal pattern has been more reliable across different market conditions.

Fidelity National Financial, Inc. Common Stock Seasonality FAQ

What is the best month to buy Fidelity National Financial, Inc. Common Stock (FNF)?

Historically, November has been the best month for Fidelity National Financial, Inc. Common Stock, with an average return of 6.28% and a win rate of 90%. However, past performance does not guarantee future results.

What is the worst month for Fidelity National Financial, Inc. Common Stock (FNF)?

Based on historical data, June has been the weakest month for Fidelity National Financial, Inc. Common Stock, with an average return of -4.00%. This is a historical observation and does not guarantee future results.

How reliable is FNF seasonality data?

The seasonality analysis for Fidelity National Financial, Inc. Common Stock is based on 21 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 Fidelity National Financial, Inc. Common Stock seasonality in my trading?

Use Fidelity National Financial, Inc. Common Stock (FNF) 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.

More Stocks Seasonality Analysis

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