NASDAQ:SURF
Delisted
Surface Oncology Inc. Stock Price (Quote)
$1.07
+0 (+0%)
At Close: Dec 06, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $1.07 | $1.07 | Wednesday, 6th Dec 2023 SURF stock ended at $1.07. During the day the stock fluctuated 0% from a day low at $1.07 to a day high of $1.07. |
90 days | $1.01 | $1.09 | |
52 weeks | $0.555 | $1.12 |
Historical Surface Oncology Inc. prices
Date | Open | High | Low | Close | Volume |
Sep 26, 2022 | $1.05 | $1.13 | $1.02 | $1.04 | 269 681 |
Sep 23, 2022 | $1.02 | $1.10 | $1.00 | $1.10 | 466 312 |
Sep 22, 2022 | $1.12 | $1.15 | $1.02 | $1.06 | 669 924 |
Sep 21, 2022 | $1.16 | $1.20 | $1.13 | $1.14 | 250 050 |
Sep 20, 2022 | $1.20 | $1.21 | $1.13 | $1.13 | 247 240 |
Sep 19, 2022 | $1.22 | $1.22 | $1.17 | $1.20 | 226 411 |
Sep 16, 2022 | $1.30 | $1.30 | $1.22 | $1.22 | 410 083 |
Sep 15, 2022 | $1.31 | $1.36 | $1.31 | $1.31 | 274 201 |
Sep 14, 2022 | $1.33 | $1.36 | $1.31 | $1.33 | 321 833 |
Sep 13, 2022 | $1.35 | $1.38 | $1.31 | $1.32 | 373 066 |
Sep 12, 2022 | $1.38 | $1.43 | $1.35 | $1.40 | 466 095 |
Sep 09, 2022 | $1.35 | $1.41 | $1.33 | $1.37 | 269 378 |
Sep 08, 2022 | $1.33 | $1.37 | $1.31 | $1.35 | 273 622 |
Sep 07, 2022 | $1.32 | $1.35 | $1.30 | $1.32 | 222 248 |
Sep 06, 2022 | $1.32 | $1.35 | $1.27 | $1.33 | 394 529 |
Sep 02, 2022 | $1.31 | $1.36 | $1.28 | $1.31 | 436 098 |
Sep 01, 2022 | $1.36 | $1.36 | $1.23 | $1.30 | 1 027 659 |
Aug 31, 2022 | $1.40 | $1.43 | $1.36 | $1.36 | 448 206 |
Aug 30, 2022 | $1.45 | $1.47 | $1.39 | $1.40 | 686 323 |
Aug 29, 2022 | $1.52 | $1.53 | $1.42 | $1.45 | 499 517 |
Aug 26, 2022 | $1.60 | $1.60 | $1.52 | $1.53 | 861 534 |
Aug 25, 2022 | $1.63 | $1.65 | $1.57 | $1.59 | 312 576 |
Aug 24, 2022 | $1.61 | $1.67 | $1.57 | $1.62 | 390 683 |
Aug 23, 2022 | $1.60 | $1.61 | $1.56 | $1.59 | 1 002 720 |
Aug 22, 2022 | $1.62 | $1.63 | $1.56 | $1.58 | 661 290 |
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 SURF stock historical prices to predict future price movements?
Trend Analysis: Examine the SURF 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 SURF 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.