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 |
Aug 08, 2016 | $5.75 | $5.85 | $5.73 | $5.65 | 1 509 000 |
Aug 05, 2016 | $5.50 | $5.63 | $5.47 | $5.46 | 981 000 |
Aug 04, 2016 | $5.44 | $5.50 | $5.26 | $5.31 | 1 111 000 |
Aug 03, 2016 | $5.54 | $5.57 | $5.50 | $5.38 | 926 600 |
Aug 02, 2016 | $5.60 | $5.60 | $5.55 | $5.39 | 410 600 |
Aug 01, 2016 | $5.60 | $5.68 | $5.57 | $5.44 | 705 000 |
Jul 29, 2016 | $5.56 | $5.60 | $5.55 | $5.43 | 566 000 |
Jul 28, 2016 | $5.58 | $5.59 | $5.54 | $5.38 | 274 700 |
Jul 27, 2016 | $5.55 | $5.61 | $5.54 | $5.40 | 412 500 |
Jul 26, 2016 | $5.57 | $5.60 | $5.55 | $5.39 | 384 600 |
Jul 25, 2016 | $5.47 | $5.58 | $5.47 | $5.41 | 710 300 |
Jul 22, 2016 | $5.45 | $5.50 | $5.45 | $5.31 | 446 300 |
Jul 21, 2016 | $5.49 | $5.49 | $5.40 | $5.29 | 690 900 |
Jul 20, 2016 | $5.42 | $5.47 | $5.40 | $5.29 | 306 100 |
Jul 19, 2016 | $5.45 | $5.45 | $5.38 | $5.26 | 371 300 |
Jul 18, 2016 | $5.35 | $5.45 | $5.34 | $5.28 | 539 800 |
Jul 15, 2016 | $5.28 | $5.38 | $5.25 | $5.18 | 501 700 |
Jul 14, 2016 | $5.34 | $5.37 | $5.25 | $5.09 | 837 600 |
Jul 13, 2016 | $5.40 | $5.42 | $5.28 | $5.16 | 547 200 |
Jul 12, 2016 | $5.38 | $5.48 | $5.36 | $5.21 | 949 600 |
Jul 11, 2016 | $5.22 | $5.40 | $5.22 | $5.16 | 1 217 000 |
Jul 08, 2016 | $5.15 | $5.24 | $5.13 | $5.00 | 939 100 |
Jul 07, 2016 | $5.06 | $5.15 | $5.06 | $4.94 | 556 400 |
Jul 06, 2016 | $5.07 | $5.10 | $5.04 | $4.87 | 397 600 |
Jul 05, 2016 | $5.12 | $5.12 | $5.01 | $4.88 | 769 900 |
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.