NYSEARCA:FDN
First Trust Dow Jones Internet Index ETF Price (Quote)
$205.49
-0.81 (-0.393%)
At Close: May 16, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $190.27 | $206.54 | Thursday, 16th May 2024 FDN stock ended at $205.49. This is 0.393% less than the trading day before Wednesday, 15th May 2024. During the day the stock fluctuated 0.531% from a day low at $205.45 to a day high of $206.54. |
90 days | $190.27 | $208.31 | |
52 weeks | $146.65 | $208.31 |
Date | Open | High | Low | Close | Volume |
Jun 26, 2023 | $159.00 | $161.30 | $157.66 | $157.69 | 274 587 |
Jun 23, 2023 | $159.14 | $160.48 | $158.48 | $159.58 | 362 228 |
Jun 22, 2023 | $158.41 | $161.20 | $158.13 | $161.14 | 299 648 |
Jun 21, 2023 | $161.74 | $162.10 | $158.44 | $159.20 | 583 125 |
Jun 20, 2023 | $161.64 | $163.74 | $160.80 | $162.44 | 525 124 |
Jun 16, 2023 | $165.23 | $165.48 | $162.50 | $162.71 | 445 191 |
Jun 15, 2023 | $160.67 | $165.03 | $160.34 | $164.55 | 920 710 |
Jun 14, 2023 | $161.31 | $162.47 | $159.76 | $162.00 | 843 422 |
Jun 13, 2023 | $161.94 | $161.99 | $160.12 | $161.59 | 677 120 |
Jun 12, 2023 | $158.26 | $160.14 | $157.94 | $160.14 | 460 127 |
Jun 09, 2023 | $158.16 | $159.85 | $157.27 | $157.65 | 4 223 036 |
Jun 08, 2023 | $155.80 | $157.75 | $155.14 | $157.14 | 892 546 |
Jun 07, 2023 | $161.88 | $162.76 | $156.19 | $156.49 | 1 520 360 |
Jun 06, 2023 | $159.50 | $161.81 | $159.26 | $161.14 | 364 932 |
Jun 05, 2023 | $158.76 | $161.02 | $158.48 | $160.07 | 352 396 |
Jun 02, 2023 | $159.41 | $160.95 | $158.67 | $159.61 | 302 347 |
Jun 01, 2023 | $155.14 | $158.91 | $154.75 | $158.08 | 468 093 |
May 31, 2023 | $154.42 | $156.46 | $154.14 | $156.05 | 329 767 |
May 30, 2023 | $156.24 | $156.66 | $154.08 | $155.43 | 403 454 |
May 26, 2023 | $154.12 | $154.80 | $150.70 | $154.09 | 388 613 |
May 25, 2023 | $150.65 | $151.00 | $148.90 | $149.71 | 306 724 |
May 24, 2023 | $148.61 | $150.53 | $148.61 | $149.78 | 419 537 |
May 23, 2023 | $150.23 | $152.31 | $149.62 | $149.65 | 271 690 |
May 22, 2023 | $149.59 | $152.26 | $149.80 | $151.67 | 217 930 |
May 19, 2023 | $150.84 | $151.06 | $149.16 | $149.80 | 320 771 |
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 FDN stock historical prices to predict future price movements?
Trend Analysis: Examine the FDN 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 FDN 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.