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Fidelity National Financial (FNF) Stock Chart

NYSE: FNFFinanceSpecialty InsurersUSD

39.02-0.06 (-0.15%)

At close: Oct 7, 4:00 PM ET · Delayed 15 min

Pre-market: 38.94 -0.21%

FNF technical summary

FNF is trading 14.6% below its 50-day simple moving average of $45.69 and 20.8% below its 200-day average of $49.25. The 50-day average is below the 200-day average, a configuration technical analysts associate with a longer-term downtrend. The 14-day Relative Strength Index (RSI) is 24.8, below 30, the level many traders consider oversold.

Over the past year, the stock ranged from $37.88 (Oct 7, 2026) to $58.41 (Feb 12, 2026); the current price sits 6% of the way from the low to the high. Annualized 30-day volatility is 26.0%. Based on the last session's high, low and close, the classic pivot point is $38.69, with first resistance at $39.51 and first support at $38.21.

These indicators describe past price behavior for Fidelity National Financial; they are not predictions.

Summary generated from market data by MetaCap's automated system. Methodology

Technical indicators

Beta
—
1Y high
58.41 (Feb 12)
1Y low
37.88 (Oct 7)
Last close
39.02

FNF price performance

1 week

+0.96%

1 month

-12.61%

3 months

-20.12%

6 months

-18.03%

Year to date

-28.52%

1 year

-28.66%

3 years

+2.75%

5 years

-14.33%

FNF price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day39.09Price below39.25Price below
10-day39.86Price below39.94Price below
20-day41.50Price below41.41Price below
50-day45.69Price below44.31Price below
100-day47.12Price below46.43Price below
200-day49.25Price below49.07Price below

Moving averages are computed from daily closing prices over the past year. What is a moving average?

Pivot points

Classic pivot points
LevelPrice
Resistance 3 (R3)40.81
Resistance 2 (R2)39.99
Resistance 1 (R1)39.51
Pivot point38.69
Support 1 (S1)38.21
Support 2 (S2)37.39
Support 3 (S3)36.91

Classic floor-trader pivots from the last session's high, low and close. How pivot points work

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