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Blackrock Floating Rate Income Strategies Fund (FRA) Stock Chart

NYSE: FRAFinanceInvestment Bankers/Brokers/ServiceUSD

10.31-0.06 (-0.58%)

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

FRA technical summary

FRA is trading 4.3% below its 50-day simple moving average of $10.77 and 7.1% below its 200-day average of $11.10. 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 35.5, within the neutral 30 to 70 band.

Over the past year, the stock ranged from $10.21 (Oct 5, 2026) to $13.04 (Oct 8, 2025); the current price sits 4% of the way from the low to the high. Annualized 30-day volatility is 12.6%. Based on the last session's high, low and close, the classic pivot point is $10.34, with first resistance at $10.37 and first support at $10.27.

These indicators describe past price behavior for Blackrock Floating Rate Income Strategies Fund; they are not predictions.

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

Technical indicators

Beta
—
1Y high
13.04 (Oct 8)
1Y low
10.21 (Oct 5)
Last close
10.31

FRA price performance

1 week

-2.18%

1 month

-5.24%

3 months

-4.89%

6 months

-7.53%

Year to date

-12.48%

1 year

-20.39%

3 years

-16.79%

5 years

-23.91%

FRA price return, excluding dividends.

Moving averages

Simple and exponential moving averages
PeriodSimple (SMA)Exponential (EMA)
5-day10.39Price below10.38Price below
10-day10.45Price below10.45Price below
20-day10.56Price below10.55Price below
50-day10.77Price below10.70Price below
100-day10.84Price below10.85Price below
200-day11.10Price below11.18Price 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)10.47
Resistance 2 (R2)10.44
Resistance 1 (R1)10.37
Pivot point10.34
Support 1 (S1)10.27
Support 2 (S2)10.24
Support 3 (S3)10.17

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

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