NYSE:SES
Ses Ai Corporation Stock Price (Quote)
$1.25
-0.0500 (-3.85%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.21 | $1.60 | Friday, 31st May 2024 SES stock ended at $1.25. This is 3.85% less than the trading day before Thursday, 30th May 2024. During the day the stock fluctuated 6.50% from a day low at $1.23 to a day high of $1.31. |
90 days | $1.15 | $1.87 | |
52 weeks | $1.15 | $3.21 |
Historical Ses Ai Corporation prices
Date | Open | High | Low | Close | Volume |
Feb 14, 2023 | $3.24 | $3.44 | $3.21 | $3.41 | 309 975 |
Feb 13, 2023 | $3.34 | $3.34 | $2.97 | $3.28 | 519 322 |
Feb 10, 2023 | $3.44 | $3.44 | $3.16 | $3.32 | 472 065 |
Feb 09, 2023 | $3.42 | $3.50 | $3.22 | $3.42 | 717 218 |
Feb 08, 2023 | $3.34 | $3.43 | $3.30 | $3.38 | 324 408 |
Feb 07, 2023 | $3.38 | $3.44 | $3.26 | $3.37 | 413 437 |
Feb 06, 2023 | $3.38 | $3.58 | $3.33 | $3.40 | 811 556 |
Feb 03, 2023 | $3.27 | $3.56 | $3.25 | $3.41 | 739 555 |
Feb 02, 2023 | $3.47 | $3.56 | $3.27 | $3.34 | 910 288 |
Feb 01, 2023 | $3.26 | $3.40 | $3.20 | $3.36 | 599 821 |
Jan 31, 2023 | $3.23 | $3.31 | $3.15 | $3.30 | 440 993 |
Jan 30, 2023 | $3.40 | $3.43 | $3.18 | $3.21 | 596 249 |
Jan 27, 2023 | $3.21 | $3.64 | $3.19 | $3.47 | 953 811 |
Jan 26, 2023 | $3.39 | $3.45 | $3.18 | $3.21 | 340 417 |
Jan 25, 2023 | $3.32 | $3.34 | $3.14 | $3.28 | 374 157 |
Jan 24, 2023 | $3.49 | $3.52 | $3.35 | $3.38 | 239 907 |
Jan 23, 2023 | $3.35 | $3.51 | $3.33 | $3.46 | 402 468 |
Jan 20, 2023 | $3.19 | $3.37 | $3.13 | $3.30 | 522 100 |
Jan 19, 2023 | $3.49 | $3.51 | $3.17 | $3.17 | 237 200 |
Jan 18, 2023 | $3.58 | $3.66 | $3.52 | $3.52 | 229 134 |
Jan 17, 2023 | $3.57 | $3.66 | $3.50 | $3.53 | 270 725 |
Jan 13, 2023 | $3.64 | $3.69 | $3.45 | $3.55 | 209 912 |
Jan 12, 2023 | $3.62 | $3.68 | $3.47 | $3.66 | 198 700 |
Jan 11, 2023 | $3.50 | $3.68 | $3.47 | $3.59 | 239 100 |
Jan 10, 2023 | $3.20 | $3.48 | $3.20 | $3.48 | 232 400 |
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 SES stock historical prices to predict future price movements?
Trend Analysis: Examine the SES 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 SES 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.