NASDAQ:FSC
Delisted
Fifth Street Finance Corp. Fund Price (Quote)
$5.63
+0 (+0%)
At Close: Jan 16, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $5.63 | $5.63 | Tuesday, 16th Jan 2018 FSC stock ended at $5.63. During the day the stock fluctuated 0% from a day low at $5.63 to a day high of $5.63. |
90 days | $5.60 | $5.65 | |
52 weeks | $3.90 | $5.72 |
Historical Fifth Street Finance Corp. prices
Date | Open | High | Low | Close | Volume |
Apr 21, 2016 | $5.45 | $5.48 | $5.39 | $5.39 | 541 899 |
Apr 20, 2016 | $5.37 | $5.45 | $5.35 | $5.43 | 476 286 |
Apr 19, 2016 | $5.29 | $5.39 | $5.29 | $5.37 | 469 153 |
Apr 18, 2016 | $5.32 | $5.38 | $5.25 | $5.26 | 655 622 |
Apr 15, 2016 | $5.26 | $5.39 | $5.25 | $5.34 | 376 487 |
Apr 14, 2016 | $5.30 | $5.38 | $5.27 | $5.30 | 403 733 |
Apr 13, 2016 | $5.20 | $5.40 | $5.18 | $5.31 | 698 650 |
Apr 12, 2016 | $5.19 | $5.33 | $5.18 | $5.26 | 647 882 |
Apr 11, 2016 | $5.12 | $5.21 | $5.11 | $5.16 | 423 102 |
Apr 08, 2016 | $5.16 | $5.21 | $5.11 | $5.11 | 653 923 |
Apr 07, 2016 | $5.16 | $5.21 | $5.11 | $5.12 | 343 863 |
Apr 06, 2016 | $5.13 | $5.22 | $5.13 | $5.19 | 388 691 |
Apr 05, 2016 | $5.17 | $5.22 | $5.10 | $5.15 | 377 227 |
Apr 04, 2016 | $5.14 | $5.27 | $5.10 | $5.17 | 909 676 |
Apr 01, 2016 | $5.00 | $5.17 | $4.98 | $5.14 | 1 764 344 |
Mar 31, 2016 | $4.93 | $5.08 | $4.92 | $5.02 | 1 469 364 |
Mar 30, 2016 | $5.05 | $5.10 | $4.97 | $4.97 | 547 967 |
Mar 29, 2016 | $4.85 | $5.06 | $4.85 | $5.03 | 1 013 800 |
Mar 28, 2016 | $5.00 | $5.02 | $4.89 | $4.91 | 731 500 |
Mar 24, 2016 | $4.97 | $5.03 | $4.92 | $5.00 | 441 100 |
Mar 23, 2016 | $5.21 | $5.23 | $4.97 | $4.97 | 435 600 |
Mar 22, 2016 | $5.09 | $5.24 | $5.04 | $5.19 | 497 400 |
Mar 21, 2016 | $5.02 | $5.19 | $5.02 | $5.15 | 630 100 |
Mar 18, 2016 | $4.98 | $5.03 | $4.91 | $5.00 | 548 400 |
Mar 17, 2016 | $4.95 | $5.04 | $4.95 | $4.98 | 523 400 |
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 FSC stock historical prices to predict future price movements?
Trend Analysis: Examine the FSC 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 FSC 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.