NYSE:TLRD
Delisted
Tailored Brands Inc Stock Price (Quote)
$0.303
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.303 | $0.303 | Friday, 4th Sep 2020 TLRD stock ended at $0.303. During the day the stock fluctuated 0% from a day low at $0.303 to a day high of $0.303. |
90 days | $0.300 | $2.45 | |
52 weeks | $0.300 | $7.24 |
Date | Open | High | Low | Close | Volume |
Dec 26, 2019 | $4.28 | $4.33 | $4.20 | $4.30 | 1 686 856 |
Dec 24, 2019 | $4.29 | $4.29 | $4.14 | $4.25 | 1 837 111 |
Dec 23, 2019 | $4.36 | $4.36 | $4.21 | $4.29 | 1 898 318 |
Dec 20, 2019 | $4.45 | $4.46 | $4.32 | $4.37 | 3 667 911 |
Dec 19, 2019 | $4.36 | $4.52 | $4.32 | $4.41 | 2 199 392 |
Dec 18, 2019 | $4.32 | $4.59 | $4.27 | $4.38 | 3 758 229 |
Dec 17, 2019 | $4.11 | $4.38 | $4.09 | $4.38 | 3 565 555 |
Dec 16, 2019 | $4.15 | $4.26 | $4.07 | $4.12 | 4 782 787 |
Dec 13, 2019 | $4.34 | $4.40 | $4.12 | $4.13 | 5 170 338 |
Dec 12, 2019 | $4.65 | $4.86 | $4.30 | $4.31 | 10 683 534 |
Dec 11, 2019 | $5.22 | $5.27 | $4.85 | $4.85 | 6 694 086 |
Dec 10, 2019 | $5.31 | $5.42 | $5.15 | $5.28 | 2 237 691 |
Dec 09, 2019 | $5.13 | $5.40 | $5.13 | $5.40 | 2 595 696 |
Dec 06, 2019 | $5.04 | $5.33 | $5.04 | $5.14 | 4 042 543 |
Dec 05, 2019 | $4.95 | $5.11 | $4.84 | $4.96 | 2 452 770 |
Dec 04, 2019 | $5.00 | $5.09 | $4.83 | $4.90 | 2 998 835 |
Dec 03, 2019 | $5.16 | $5.20 | $4.96 | $5.00 | 2 678 356 |
Dec 02, 2019 | $5.34 | $5.35 | $5.15 | $5.26 | 2 236 301 |
Nov 29, 2019 | $5.37 | $5.38 | $5.07 | $5.29 | 973 330 |
Nov 27, 2019 | $5.43 | $5.48 | $5.34 | $5.39 | 1 547 898 |
Nov 26, 2019 | $5.28 | $5.51 | $5.21 | $5.41 | 2 444 801 |
Nov 25, 2019 | $4.95 | $5.26 | $4.87 | $5.26 | 1 922 352 |
Nov 22, 2019 | $4.73 | $4.92 | $4.67 | $4.88 | 1 693 296 |
Nov 21, 2019 | $4.75 | $4.87 | $4.65 | $4.67 | 1 951 509 |
Nov 20, 2019 | $5.10 | $5.11 | $4.70 | $4.71 | 2 142 050 |
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 TLRD stock historical prices to predict future price movements?
Trend Analysis: Examine the TLRD 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 TLRD 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.