NYSE:DATA
Delisted
Tableau Software, Inc Stock Price (Quote)
$169.53
+0 (+0%)
At Close: Sep 18, 2019
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $169.53 | $169.53 | Wednesday, 18th Sep 2019 DATA stock ended at $169.53. During the day the stock fluctuated 0% from a day low at $169.53 to a day high of $169.53. |
90 days | $161.92 | $177.59 | |
52 weeks | $94.81 | $177.59 |
Date | Open | High | Low | Close | Volume |
Mar 21, 2019 | $132.63 | $136.92 | $132.62 | $136.64 | 661 580 |
Mar 20, 2019 | $133.50 | $134.68 | $131.95 | $132.74 | 567 827 |
Mar 19, 2019 | $133.00 | $133.88 | $130.86 | $133.52 | 581 986 |
Mar 18, 2019 | $130.90 | $132.31 | $129.95 | $132.07 | 766 049 |
Mar 15, 2019 | $130.44 | $131.54 | $129.96 | $130.48 | 569 693 |
Mar 14, 2019 | $129.00 | $132.05 | $127.56 | $130.44 | 567 418 |
Mar 13, 2019 | $129.28 | $131.47 | $128.50 | $129.77 | 940 149 |
Mar 12, 2019 | $127.05 | $129.93 | $126.29 | $128.50 | 813 735 |
Mar 11, 2019 | $124.58 | $127.18 | $124.58 | $127.06 | 502 283 |
Mar 08, 2019 | $121.26 | $124.80 | $120.12 | $124.10 | 612 074 |
Mar 07, 2019 | $122.81 | $125.62 | $121.90 | $123.61 | 830 150 |
Mar 06, 2019 | $123.98 | $125.59 | $122.01 | $123.10 | 521 765 |
Mar 05, 2019 | $124.57 | $125.00 | $121.26 | $124.50 | 903 459 |
Mar 04, 2019 | $133.05 | $133.86 | $123.85 | $125.18 | 2 319 206 |
Mar 01, 2019 | $133.31 | $133.50 | $129.70 | $132.47 | 1 029 076 |
Feb 28, 2019 | $130.61 | $132.46 | $129.40 | $131.90 | 3 055 258 |
Feb 27, 2019 | $129.20 | $132.35 | $129.01 | $131.16 | 997 169 |
Feb 26, 2019 | $133.95 | $134.50 | $129.94 | $129.98 | 1 641 028 |
Feb 25, 2019 | $133.74 | $134.97 | $133.08 | $134.39 | 1 245 706 |
Feb 22, 2019 | $130.66 | $133.14 | $130.53 | $132.87 | 1 024 752 |
Feb 21, 2019 | $126.59 | $131.12 | $126.59 | $130.40 | 1 335 592 |
Feb 20, 2019 | $126.67 | $128.53 | $125.26 | $127.04 | 1 715 118 |
Feb 19, 2019 | $129.27 | $129.71 | $124.50 | $126.97 | 1 797 379 |
Feb 15, 2019 | $130.40 | $130.56 | $127.50 | $129.34 | 894 952 |
Feb 14, 2019 | $125.58 | $130.45 | $124.78 | $130.02 | 1 479 677 |
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 DATA stock historical prices to predict future price movements?
Trend Analysis: Examine the DATA 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 DATA 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.