NYSE:FBRT
Franklin BSP Realty Trust, Inc. Stock Price (Quote)
$13.14
+0 (+0%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $12.20 | $13.34 | Friday, 17th May 2024 FBRT stock ended at $13.14. During the day the stock fluctuated 0.92% from a day low at $13.06 to a day high of $13.18. |
90 days | $11.99 | $13.75 | |
52 weeks | $11.99 | $14.69 |
Date | Open | High | Low | Close | Volume |
Nov 19, 2021 | $16.41 | $16.71 | $16.30 | $16.56 | 837 800 |
Nov 18, 2021 | $16.22 | $16.71 | $16.17 | $16.60 | 358 400 |
Nov 17, 2021 | $16.41 | $16.45 | $16.09 | $16.27 | 344 200 |
Nov 16, 2021 | $16.71 | $16.75 | $16.45 | $16.48 | 421 300 |
Nov 15, 2021 | $17.10 | $17.10 | $16.66 | $16.75 | 342 800 |
Nov 12, 2021 | $17.06 | $17.17 | $16.87 | $17.13 | 273 200 |
Nov 11, 2021 | $17.06 | $17.17 | $16.85 | $17.09 | 167 400 |
Nov 10, 2021 | $17.09 | $17.20 | $16.83 | $17.08 | 195 000 |
Nov 09, 2021 | $16.77 | $17.10 | $16.38 | $17.10 | 354 000 |
Nov 08, 2021 | $16.54 | $16.85 | $16.28 | $16.84 | 266 500 |
Nov 05, 2021 | $16.31 | $16.58 | $16.24 | $16.55 | 238 800 |
Nov 04, 2021 | $16.53 | $16.53 | $16.25 | $16.27 | 207 000 |
Nov 03, 2021 | $16.28 | $16.60 | $16.15 | $16.59 | 195 700 |
Nov 02, 2021 | $16.24 | $16.45 | $16.13 | $16.32 | 181 100 |
Nov 01, 2021 | $16.35 | $16.52 | $16.24 | $16.33 | 281 400 |
Oct 29, 2021 | $16.55 | $16.58 | $16.36 | $16.41 | 362 700 |
Oct 28, 2021 | $16.71 | $16.71 | $16.40 | $16.58 | 272 400 |
Oct 27, 2021 | $16.73 | $16.85 | $16.61 | $16.71 | 260 100 |
Oct 26, 2021 | $16.83 | $16.98 | $16.80 | $16.85 | 227 200 |
Oct 25, 2021 | $16.78 | $17.09 | $16.78 | $16.95 | 277 800 |
Oct 22, 2021 | $16.72 | $17.25 | $16.71 | $16.86 | 358 100 |
Oct 21, 2021 | $16.88 | $17.07 | $16.77 | $16.85 | 436 900 |
Oct 20, 2021 | $17.20 | $17.30 | $16.70 | $16.88 | 1 031 600 |
Oct 19, 2021 | $17.00 | $17.74 | $16.76 | $17.10 | 299 400 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use FBRT stock historical prices to predict future price movements?
Trend Analysis: Examine the FBRT stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the FBRT stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.