NYSE:I
Delisted
Intelsat SA Stock Price (Quote)
$0.383
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.383 | $0.383 | Friday, 4th Sep 2020 I stock ended at $0.383. During the day the stock fluctuated 0% from a day low at $0.383 to a day high of $0.383. |
90 days | $0.381 | $0.455 | |
52 weeks | $0.330 | $27.29 |
Date | Open | High | Low | Close | Volume |
May 31, 2016 | $3.33 | $3.44 | $3.23 | $3.23 | 403 068 |
May 27, 2016 | $3.41 | $3.63 | $3.30 | $3.32 | 372 605 |
May 26, 2016 | $3.43 | $3.50 | $3.32 | $3.40 | 232 079 |
May 25, 2016 | $3.45 | $3.48 | $3.30 | $3.43 | 269 523 |
May 24, 2016 | $3.38 | $3.44 | $3.26 | $3.43 | 698 708 |
May 23, 2016 | $3.38 | $3.45 | $3.30 | $3.35 | 228 612 |
May 20, 2016 | $3.11 | $3.42 | $3.09 | $3.40 | 449 994 |
May 19, 2016 | $3.16 | $3.22 | $3.01 | $3.11 | 314 102 |
May 18, 2016 | $3.27 | $3.37 | $3.13 | $3.22 | 340 936 |
May 17, 2016 | $3.33 | $3.42 | $3.20 | $3.29 | 457 168 |
May 16, 2016 | $3.41 | $3.54 | $3.35 | $3.36 | 1 112 914 |
May 13, 2016 | $3.83 | $3.84 | $3.37 | $3.46 | 1 119 391 |
May 12, 2016 | $3.92 | $4.02 | $3.80 | $3.83 | 2 350 564 |
May 11, 2016 | $3.87 | $4.08 | $3.72 | $3.83 | 1 010 669 |
May 10, 2016 | $3.61 | $3.89 | $3.54 | $3.86 | 496 112 |
May 09, 2016 | $3.50 | $3.64 | $3.39 | $3.59 | 472 987 |
May 06, 2016 | $3.59 | $3.76 | $3.54 | $3.54 | 700 917 |
May 05, 2016 | $3.82 | $3.82 | $3.57 | $3.62 | 451 869 |
May 04, 2016 | $3.89 | $3.97 | $3.72 | $3.79 | 432 768 |
May 03, 2016 | $3.92 | $4.01 | $3.79 | $3.91 | 611 699 |
May 02, 2016 | $3.95 | $4.06 | $3.80 | $4.02 | 382 110 |
Apr 29, 2016 | $4.03 | $4.09 | $3.79 | $3.95 | 458 467 |
Apr 28, 2016 | $3.59 | $4.14 | $3.59 | $3.94 | 532 674 |
Apr 27, 2016 | $3.77 | $3.79 | $3.59 | $3.69 | 192 004 |
Apr 26, 2016 | $3.69 | $3.75 | $3.57 | $3.71 | 283 716 |
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 I stock historical prices to predict future price movements?
Trend Analysis: Examine the I 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 I 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.