NASDAQ:TLS
Telos Corp Stock Price (Quote)
$3.67
+0.0900 (+2.51%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.96 | $4.04 | Friday, 17th May 2024 TLS stock ended at $3.67. This is 2.51% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.63% from a day low at $3.52 to a day high of $3.75. |
90 days | $2.96 | $4.55 | |
52 weeks | $1.87 | $5.00 |
Date | Open | High | Low | Close | Volume |
Sep 07, 2023 | $2.21 | $2.24 | $2.15 | $2.19 | 259 214 |
Sep 06, 2023 | $2.28 | $2.38 | $2.26 | $2.26 | 216 452 |
Sep 05, 2023 | $2.54 | $2.56 | $2.30 | $2.30 | 231 679 |
Sep 01, 2023 | $2.66 | $2.79 | $2.50 | $2.54 | 500 668 |
Aug 31, 2023 | $2.31 | $2.64 | $2.29 | $2.61 | 1 150 126 |
Aug 30, 2023 | $2.08 | $2.26 | $2.04 | $2.21 | 318 686 |
Aug 29, 2023 | $1.97 | $2.15 | $1.95 | $2.08 | 473 860 |
Aug 28, 2023 | $2.02 | $2.02 | $1.94 | $1.95 | 286 712 |
Aug 25, 2023 | $2.12 | $2.12 | $2.01 | $2.04 | 304 501 |
Aug 24, 2023 | $2.20 | $2.20 | $2.08 | $2.11 | 366 943 |
Aug 23, 2023 | $2.10 | $2.21 | $2.08 | $2.19 | 312 852 |
Aug 22, 2023 | $2.12 | $2.25 | $2.05 | $2.10 | 369 573 |
Aug 21, 2023 | $2.17 | $2.17 | $1.98 | $2.01 | 256 939 |
Aug 18, 2023 | $1.97 | $2.12 | $1.92 | $2.08 | 423 075 |
Aug 17, 2023 | $2.16 | $2.16 | $2.01 | $2.03 | 375 474 |
Aug 16, 2023 | $2.20 | $2.25 | $2.09 | $2.12 | 376 185 |
Aug 15, 2023 | $2.20 | $2.23 | $2.09 | $2.14 | 201 321 |
Aug 14, 2023 | $2.33 | $2.33 | $2.20 | $2.22 | 258 504 |
Aug 11, 2023 | $2.53 | $2.55 | $2.32 | $2.33 | 319 227 |
Aug 10, 2023 | $2.61 | $2.99 | $2.58 | $2.58 | 458 973 |
Aug 09, 2023 | $2.45 | $2.64 | $2.34 | $2.57 | 692 265 |
Aug 08, 2023 | $2.27 | $2.35 | $2.22 | $2.30 | 347 041 |
Aug 07, 2023 | $2.30 | $2.31 | $2.23 | $2.28 | 300 268 |
Aug 04, 2023 | $2.41 | $2.43 | $2.29 | $2.30 | 200 678 |
Aug 03, 2023 | $2.50 | $2.53 | $2.37 | $2.42 | 292 371 |
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 TLS stock historical prices to predict future price movements?
Trend Analysis: Examine the TLS 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 TLS 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.