NYSE:TWTR
Delisted
Twitter Stock Price (Quote)
$53.70
+0 (+0%)
At Close: Nov 02, 2022
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $42.23 | $54.00 | Wednesday, 2nd Nov 2022 TWTR stock ended at $53.70. During the day the stock fluctuated 0% from a day low at $53.70 to a day high of $53.70. |
90 days | $38.06 | $54.00 | |
52 weeks | $31.30 | $54.93 |
Date | Open | High | Low | Close | Volume |
Sep 28, 2022 | $42.59 | $43.53 | $42.38 | $43.25 | 13 314 280 |
Sep 27, 2022 | $41.74 | $42.18 | $41.28 | $42.09 | 8 271 629 |
Sep 26, 2022 | $41.50 | $43.52 | $40.66 | $41.52 | 23 914 836 |
Sep 23, 2022 | $41.48 | $41.77 | $40.85 | $41.58 | 9 120 108 |
Sep 22, 2022 | $41.39 | $41.77 | $41.25 | $41.40 | 5 865 477 |
Sep 21, 2022 | $41.79 | $42.19 | $41.27 | $41.27 | 7 616 450 |
Sep 20, 2022 | $41.44 | $42.11 | $40.93 | $41.68 | 7 229 122 |
Sep 19, 2022 | $41.40 | $41.74 | $41.21 | $41.66 | 6 998 242 |
Sep 16, 2022 | $41.83 | $41.95 | $41.25 | $41.45 | 26 519 067 |
Sep 15, 2022 | $41.75 | $42.44 | $41.50 | $42.14 | 9 237 328 |
Sep 14, 2022 | $41.75 | $41.91 | $41.25 | $41.90 | 8 095 389 |
Sep 13, 2022 | $40.76 | $42.47 | $40.47 | $41.74 | 14 219 425 |
Sep 12, 2022 | $41.81 | $41.90 | $41.25 | $41.41 | 7 888 065 |
Sep 09, 2022 | $41.88 | $42.30 | $41.51 | $42.19 | 7 322 679 |
Sep 08, 2022 | $41.00 | $42.17 | $40.98 | $41.85 | 11 821 058 |
Sep 07, 2022 | $39.30 | $41.25 | $39.30 | $41.20 | 17 860 824 |
Sep 06, 2022 | $38.62 | $39.09 | $38.06 | $38.65 | 11 241 685 |
Sep 02, 2022 | $38.86 | $39.01 | $38.29 | $38.63 | 7 728 744 |
Sep 01, 2022 | $38.64 | $38.92 | $38.44 | $38.62 | 8 430 257 |
Aug 31, 2022 | $39.98 | $40.05 | $38.60 | $38.75 | 16 842 415 |
Aug 30, 2022 | $39.87 | $40.09 | $39.07 | $39.32 | 9 598 891 |
Aug 29, 2022 | $40.22 | $40.60 | $39.99 | $40.04 | 6 679 603 |
Aug 26, 2022 | $41.15 | $41.20 | $40.23 | $40.46 | 10 138 831 |
Aug 25, 2022 | $40.50 | $41.49 | $40.17 | $41.05 | 10 361 319 |
Aug 24, 2022 | $39.28 | $40.99 | $38.77 | $40.79 | 17 105 415 |
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 TWTR stock historical prices to predict future price movements?
Trend Analysis: Examine the TWTR 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 TWTR 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.