NYSE:TV
Grupo Televisa SA Stock Price (Quote)
$3.40
+0.0900 (+2.72%)
At Close: May 20, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.77 | $3.43 | Monday, 20th May 2024 TV stock ended at $3.40. This is 2.72% more than the trading day before Friday, 17th May 2024. During the day the stock fluctuated 4.90% from a day low at $3.27 to a day high of $3.43. |
90 days | $2.71 | $3.65 | |
52 weeks | $2.10 | $5.41 |
Date | Open | High | Low | Close | Volume |
Apr 15, 2024 | $3.20 | $3.22 | $3.11 | $3.16 | 961 949 |
Apr 12, 2024 | $3.31 | $3.35 | $3.18 | $3.23 | 1 118 775 |
Apr 11, 2024 | $3.35 | $3.46 | $3.26 | $3.34 | 1 380 519 |
Apr 10, 2024 | $3.24 | $3.32 | $3.21 | $3.31 | 777 485 |
Apr 09, 2024 | $3.40 | $3.47 | $3.25 | $3.31 | 1 774 243 |
Apr 08, 2024 | $3.31 | $3.38 | $3.29 | $3.35 | 772 663 |
Apr 05, 2024 | $3.23 | $3.31 | $3.17 | $3.28 | 868 488 |
Apr 04, 2024 | $3.35 | $3.43 | $3.26 | $3.26 | 1 260 399 |
Apr 03, 2024 | $3.15 | $3.37 | $3.15 | $3.32 | 1 104 577 |
Apr 02, 2024 | $3.11 | $3.15 | $3.07 | $3.15 | 607 385 |
Apr 01, 2024 | $3.16 | $3.19 | $3.10 | $3.14 | 799 403 |
Mar 28, 2024 | $3.18 | $3.24 | $3.14 | $3.20 | 2 650 528 |
Mar 27, 2024 | $3.10 | $3.16 | $3.08 | $3.14 | 413 167 |
Mar 26, 2024 | $3.09 | $3.12 | $3.05 | $3.09 | 584 052 |
Mar 25, 2024 | $3.02 | $3.14 | $3.00 | $3.08 | 1 115 372 |
Mar 22, 2024 | $2.94 | $3.02 | $2.89 | $2.99 | 695 177 |
Mar 21, 2024 | $3.00 | $3.03 | $2.88 | $2.92 | 839 362 |
Mar 20, 2024 | $2.87 | $2.99 | $2.81 | $2.98 | 932 723 |
Mar 19, 2024 | $2.87 | $2.90 | $2.81 | $2.85 | 555 154 |
Mar 18, 2024 | $2.86 | $2.94 | $2.78 | $2.86 | 1 035 368 |
Mar 15, 2024 | $2.89 | $2.91 | $2.82 | $2.84 | 683 450 |
Mar 14, 2024 | $2.97 | $2.98 | $2.86 | $2.89 | 644 017 |
Mar 13, 2024 | $2.90 | $2.95 | $2.86 | $2.93 | 1 742 837 |
Mar 12, 2024 | $2.99 | $2.99 | $2.85 | $2.86 | 1 238 037 |
Mar 11, 2024 | $2.94 | $2.99 | $2.92 | $2.97 | 802 550 |
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 TV stock historical prices to predict future price movements?
Trend Analysis: Examine the TV 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 TV 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.