NYSE:TCAP
Delisted
Triangle Capital Corporation Fund Price (Quote)
$11.80
+0 (+0%)
At Close: Oct 02, 2018
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $11.80 | $11.80 | Tuesday, 2nd Oct 2018 TCAP stock ended at $11.80. During the day the stock fluctuated 0% from a day low at $11.80 to a day high of $11.80. |
90 days | $11.60 | $12.39 | |
52 weeks | $8.91 | $14.33 |
Date | Open | High | Low | Close | Volume |
Jan 23, 2018 | $10.58 | $10.61 | $10.41 | $10.60 | 638 238 |
Jan 22, 2018 | $10.21 | $10.53 | $10.18 | $10.53 | 679 336 |
Jan 19, 2018 | $10.25 | $10.27 | $10.15 | $10.26 | 338 940 |
Jan 18, 2018 | $10.25 | $10.32 | $10.13 | $10.27 | 448 372 |
Jan 17, 2018 | $10.19 | $10.28 | $10.08 | $10.27 | 575 133 |
Jan 16, 2018 | $10.21 | $10.28 | $10.06 | $10.15 | 556 568 |
Jan 12, 2018 | $9.91 | $10.17 | $9.89 | $10.16 | 606 125 |
Jan 11, 2018 | $9.72 | $9.90 | $9.64 | $9.89 | 704 107 |
Jan 10, 2018 | $9.47 | $9.57 | $9.45 | $9.51 | 249 247 |
Jan 09, 2018 | $9.55 | $9.61 | $9.41 | $9.47 | 507 910 |
Jan 08, 2018 | $9.41 | $9.52 | $9.31 | $9.49 | 450 685 |
Jan 05, 2018 | $9.50 | $9.52 | $9.37 | $9.41 | 467 063 |
Jan 04, 2018 | $9.63 | $9.63 | $9.47 | $9.52 | 326 955 |
Jan 03, 2018 | $9.64 | $9.69 | $9.54 | $9.60 | 355 958 |
Jan 02, 2018 | $9.54 | $9.72 | $9.47 | $9.65 | 392 391 |
Dec 29, 2017 | $9.51 | $9.57 | $9.42 | $9.49 | 827 246 |
Dec 28, 2017 | $9.52 | $9.67 | $9.48 | $9.52 | 802 094 |
Dec 27, 2017 | $9.61 | $9.73 | $9.48 | $9.59 | 841 779 |
Dec 26, 2017 | $9.62 | $9.68 | $9.51 | $9.62 | 782 936 |
Dec 22, 2017 | $9.79 | $9.84 | $9.74 | $9.76 | 178 512 |
Dec 21, 2017 | $9.74 | $9.87 | $9.65 | $9.76 | 792 074 |
Dec 20, 2017 | $9.75 | $9.80 | $9.65 | $9.71 | 914 384 |
Dec 19, 2017 | $9.90 | $9.90 | $9.68 | $9.70 | 650 164 |
Dec 18, 2017 | $9.91 | $9.99 | $9.80 | $9.85 | 586 421 |
Dec 15, 2017 | $9.62 | $9.88 | $9.53 | $9.79 | 1 041 956 |
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 TCAP stock historical prices to predict future price movements?
Trend Analysis: Examine the TCAP 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 TCAP 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.