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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

Historical Tableau Software, Inc prices

Date Open High Low Close Volume
Jul 09, 2019 $167.36 $169.41 $166.47 $168.95 1 388 417
Jul 08, 2019 $169.32 $169.32 $166.95 $167.76 1 370 182
Jul 05, 2019 $169.79 $169.95 $167.61 $169.82 1 297 562
Jul 03, 2019 $169.32 $171.02 $169.20 $171.02 1 171 737
Jul 02, 2019 $168.13 $168.99 $166.92 $168.99 1 397 265
Jul 01, 2019 $168.75 $169.34 $165.90 $168.11 1 686 034
Jun 28, 2019 $164.00 $166.02 $163.18 $166.02 1 809 904
Jun 27, 2019 $163.40 $164.42 $161.92 $164.39 1 962 123
Jun 26, 2019 $164.60 $165.00 $162.10 $162.10 2 715 127
Jun 25, 2019 $166.57 $166.89 $162.23 $162.74 2 232 732
Jun 24, 2019 $171.61 $172.24 $166.39 $166.40 1 502 036
Jun 21, 2019 $171.05 $172.37 $170.40 $170.86 1 055 910
Jun 20, 2019 $170.16 $172.89 $169.70 $171.89 2 210 627
Jun 19, 2019 $164.93 $168.81 $164.47 $168.43 2 114 921
Jun 18, 2019 $165.30 $167.25 $164.34 $164.43 2 580 551
Jun 17, 2019 $163.49 $165.28 $163.49 $164.11 1 590 055
Jun 14, 2019 $164.68 $166.29 $163.25 $163.25 2 635 377
Jun 13, 2019 $166.42 $166.53 $164.38 $165.38 2 154 898
Jun 12, 2019 $164.91 $166.73 $164.39 $165.62 3 667 432
Jun 11, 2019 $168.67 $170.25 $163.12 $164.23 8 141 362
Jun 10, 2019 $169.20 $173.37 $165.41 $167.41 14 398 447
Jun 07, 2019 $120.00 $125.61 $118.45 $125.21 1 829 967
Jun 06, 2019 $117.08 $119.44 $113.81 $117.10 1 935 046
Jun 05, 2019 $114.48 $121.75 $113.70 $121.60 1 852 838
Jun 04, 2019 $110.08 $112.68 $108.77 $112.48 879 615

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.

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.

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.

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.
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