NASDAQ:ZNGA
Delisted
Zynga Inc. Stock Price (Quote)
$8.18
+0 (+0%)
At Close: Jul 20, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $8.18 | $8.18 | Wednesday, 20th Jul 2022 ZNGA stock ended at $8.18. During the day the stock fluctuated 0% from a day low at $8.18 to a day high of $8.18. |
90 days | $7.51 | $8.99 | |
52 weeks | $5.57 | $10.55 |
Historical Zynga Inc. prices
Date | Open | High | Low | Close | Volume |
Mar 10, 2017 | $2.76 | $2.84 | $2.76 | $2.82 | 7 076 741 |
Mar 09, 2017 | $2.74 | $2.76 | $2.73 | $2.75 | 4 066 762 |
Mar 08, 2017 | $2.75 | $2.76 | $2.73 | $2.74 | 2 558 211 |
Mar 07, 2017 | $2.75 | $2.76 | $2.72 | $2.74 | 4 019 054 |
Mar 06, 2017 | $2.75 | $2.77 | $2.75 | $2.75 | 4 049 377 |
Mar 03, 2017 | $2.71 | $2.81 | $2.70 | $2.78 | 11 338 018 |
Mar 02, 2017 | $2.72 | $2.75 | $2.71 | $2.74 | 6 780 985 |
Mar 01, 2017 | $2.70 | $2.74 | $2.68 | $2.71 | 11 395 455 |
Feb 28, 2017 | $2.68 | $2.70 | $2.64 | $2.65 | 9 373 836 |
Feb 27, 2017 | $2.67 | $2.71 | $2.65 | $2.69 | 11 509 606 |
Feb 24, 2017 | $2.69 | $2.73 | $2.67 | $2.70 | 6 418 886 |
Feb 23, 2017 | $2.83 | $2.84 | $2.70 | $2.71 | 9 842 485 |
Feb 22, 2017 | $2.70 | $2.85 | $2.70 | $2.83 | 23 266 032 |
Feb 21, 2017 | $2.67 | $2.71 | $2.66 | $2.71 | 10 078 147 |
Feb 17, 2017 | $2.62 | $2.70 | $2.62 | $2.68 | 11 927 745 |
Feb 16, 2017 | $2.61 | $2.66 | $2.61 | $2.63 | 7 152 957 |
Feb 15, 2017 | $2.59 | $2.69 | $2.55 | $2.67 | 31 620 951 |
Feb 14, 2017 | $2.58 | $2.74 | $2.57 | $2.70 | 10 346 344 |
Feb 13, 2017 | $2.60 | $2.65 | $2.53 | $2.63 | 11 192 079 |
Feb 10, 2017 | $2.45 | $2.65 | $2.40 | $2.58 | 18 768 516 |
Feb 09, 2017 | $2.49 | $2.57 | $2.47 | $2.52 | 17 206 055 |
Feb 08, 2017 | $2.56 | $2.56 | $2.48 | $2.50 | 24 967 667 |
Feb 07, 2017 | $2.55 | $2.58 | $2.43 | $2.57 | 27 664 194 |
Feb 06, 2017 | $2.54 | $2.55 | $2.50 | $2.54 | 13 943 412 |
Feb 03, 2017 | $2.54 | $2.56 | $2.53 | $2.55 | 7 479 716 |
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 ZNGA stock historical prices to predict future price movements?
Trend Analysis: Examine the ZNGA 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 ZNGA 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.