NYSE:TLRA
Delisted
Telaria Inc Stock Price (Quote)
$6.00
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $6.00 | $6.00 | Friday, 4th Sep 2020 TLRA stock ended at $6.00. During the day the stock fluctuated 0% from a day low at $6.00 to a day high of $6.00. |
90 days | $6.00 | $6.00 | |
52 weeks | $4.79 | $14.19 |
Date | Open | High | Low | Close | Volume |
Sep 10, 2019 | $9.19 | $9.93 | $9.08 | $9.82 | 1 060 158 |
Sep 09, 2019 | $10.24 | $10.31 | $9.16 | $9.52 | 1 646 543 |
Sep 06, 2019 | $10.58 | $10.62 | $10.18 | $10.21 | 674 246 |
Sep 05, 2019 | $10.52 | $10.61 | $10.16 | $10.57 | 1 237 404 |
Sep 04, 2019 | $9.98 | $10.66 | $9.95 | $10.34 | 1 348 030 |
Sep 03, 2019 | $9.85 | $10.34 | $9.79 | $9.91 | 1 019 090 |
Aug 30, 2019 | $10.27 | $10.30 | $9.80 | $9.98 | 771 957 |
Aug 29, 2019 | $10.36 | $10.48 | $10.05 | $10.16 | 1 109 151 |
Aug 28, 2019 | $10.22 | $10.41 | $9.86 | $10.35 | 1 059 068 |
Aug 27, 2019 | $10.23 | $10.45 | $9.72 | $10.28 | 1 701 180 |
Aug 26, 2019 | $9.75 | $10.20 | $9.37 | $10.09 | 1 867 559 |
Aug 23, 2019 | $9.21 | $10.00 | $9.05 | $9.53 | 1 788 662 |
Aug 22, 2019 | $9.00 | $9.68 | $8.96 | $9.22 | 1 779 970 |
Aug 21, 2019 | $8.00 | $8.95 | $7.96 | $8.90 | 1 154 405 |
Aug 20, 2019 | $7.74 | $8.06 | $7.72 | $7.98 | 409 399 |
Aug 19, 2019 | $8.01 | $8.10 | $7.67 | $7.79 | 515 901 |
Aug 16, 2019 | $8.02 | $8.11 | $7.72 | $7.95 | 866 206 |
Aug 15, 2019 | $8.30 | $8.74 | $7.92 | $7.97 | 1 423 907 |
Aug 14, 2019 | $8.00 | $8.19 | $7.81 | $8.07 | 1 072 697 |
Aug 13, 2019 | $7.80 | $8.10 | $7.62 | $8.05 | 1 140 969 |
Aug 12, 2019 | $7.31 | $7.77 | $7.15 | $7.51 | 884 801 |
Aug 09, 2019 | $7.26 | $7.56 | $7.24 | $7.32 | 800 457 |
Aug 08, 2019 | $7.46 | $7.60 | $7.11 | $7.24 | 1 137 057 |
Aug 07, 2019 | $8.00 | $8.47 | $7.37 | $7.40 | 1 246 702 |
Aug 06, 2019 | $9.26 | $9.55 | $7.30 | $8.21 | 2 790 736 |
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 TLRA stock historical prices to predict future price movements?
Trend Analysis: Examine the TLRA 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 TLRA 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.