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 |
Nov 22, 2016 | $5.75 | $5.80 | $5.73 | $5.76 | 609 922 |
Nov 21, 2016 | $5.73 | $5.76 | $5.70 | $5.73 | 561 364 |
Nov 18, 2016 | $5.67 | $5.73 | $5.57 | $5.70 | 1 110 957 |
Nov 17, 2016 | $5.70 | $5.72 | $5.65 | $5.69 | 474 877 |
Nov 16, 2016 | $5.65 | $5.70 | $5.62 | $5.67 | 518 218 |
Nov 15, 2016 | $5.72 | $5.72 | $5.64 | $5.67 | 443 995 |
Nov 14, 2016 | $5.60 | $5.68 | $5.60 | $5.67 | 544 462 |
Nov 11, 2016 | $5.60 | $5.66 | $5.55 | $5.60 | 524 759 |
Nov 10, 2016 | $5.50 | $5.59 | $5.50 | $5.59 | 681 010 |
Nov 09, 2016 | $5.25 | $5.53 | $5.21 | $5.48 | 878 721 |
Nov 08, 2016 | $5.30 | $5.37 | $5.25 | $5.37 | 658 039 |
Nov 07, 2016 | $5.25 | $5.29 | $5.22 | $5.28 | 440 900 |
Nov 04, 2016 | $5.12 | $5.20 | $5.10 | $5.13 | 506 000 |
Nov 03, 2016 | $5.16 | $5.16 | $5.11 | $5.13 | 438 400 |
Nov 02, 2016 | $5.17 | $5.22 | $5.12 | $5.16 | 836 900 |
Nov 01, 2016 | $5.36 | $5.41 | $5.19 | $5.22 | 1 420 800 |
Oct 31, 2016 | $5.56 | $5.56 | $5.39 | $5.39 | 1 085 400 |
Oct 28, 2016 | $5.50 | $5.57 | $5.47 | $5.52 | 616 900 |
Oct 27, 2016 | $5.63 | $5.63 | $5.50 | $5.51 | 751 600 |
Oct 26, 2016 | $5.66 | $5.68 | $5.55 | $5.59 | 789 500 |
Oct 25, 2016 | $5.67 | $5.71 | $5.66 | $5.69 | 308 500 |
Oct 24, 2016 | $5.69 | $5.71 | $5.62 | $5.63 | 501 000 |
Oct 21, 2016 | $5.62 | $5.70 | $5.60 | $5.64 | 458 700 |
Oct 20, 2016 | $5.61 | $5.62 | $5.50 | $5.61 | 414 900 |
Oct 19, 2016 | $5.57 | $5.64 | $5.49 | $5.64 | 495 300 |
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.