NASDAQ:SMFR
Delisted
Sema4 Holdings Corp. Stock Price (Quote)
$0.420
+0 (+0%)
At Close: Apr 19, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $0.420 | $0.420 | Wednesday, 19th Apr 2023 SMFR stock ended at $0.420. During the day the stock fluctuated 0% from a day low at $0.420 to a day high of $0.420. |
90 days | $0.310 | $0.450 | |
52 weeks | $0.220 | $2.54 |
Date | Open | High | Low | Close | Volume |
Oct 18, 2022 | $0.96 | $1.03 | $0.92 | $0.96 | 600 450 |
Oct 17, 2022 | $0.86 | $0.93 | $0.86 | $0.92 | 409 223 |
Oct 14, 2022 | $0.90 | $0.91 | $0.84 | $0.86 | 352 599 |
Oct 13, 2022 | $0.86 | $0.92 | $0.80 | $0.89 | 431 009 |
Oct 12, 2022 | $0.91 | $0.91 | $0.82 | $0.85 | 438 303 |
Oct 11, 2022 | $0.93 | $0.94 | $0.84 | $0.90 | 499 860 |
Oct 10, 2022 | $0.89 | $0.96 | $0.85 | $0.93 | 527 981 |
Oct 07, 2022 | $0.96 | $1.02 | $0.88 | $0.89 | 716 423 |
Oct 06, 2022 | $1.01 | $1.07 | $0.99 | $1.01 | 367 102 |
Oct 05, 2022 | $0.96 | $1.04 | $0.95 | $1.02 | 436 883 |
Oct 04, 2022 | $0.88 | $1.05 | $0.88 | $1.04 | 2 090 295 |
Oct 03, 2022 | $0.87 | $0.94 | $0.86 | $0.89 | 1 320 504 |
Sep 30, 2022 | $0.92 | $1.00 | $0.88 | $0.88 | 561 467 |
Sep 29, 2022 | $0.89 | $0.96 | $0.87 | $0.91 | 562 767 |
Sep 28, 2022 | $0.86 | $0.94 | $0.86 | $0.93 | 706 521 |
Sep 27, 2022 | $0.86 | $0.93 | $0.85 | $0.88 | 523 671 |
Sep 26, 2022 | $0.87 | $0.94 | $0.85 | $0.85 | 865 892 |
Sep 23, 2022 | $0.86 | $0.92 | $0.83 | $0.87 | 570 742 |
Sep 22, 2022 | $0.92 | $0.92 | $0.86 | $0.91 | 1 022 958 |
Sep 21, 2022 | $1.00 | $1.01 | $0.92 | $0.92 | 741 063 |
Sep 20, 2022 | $0.98 | $1.05 | $0.98 | $1.00 | 565 313 |
Sep 19, 2022 | $1.03 | $1.04 | $0.96 | $1.02 | 923 094 |
Sep 16, 2022 | $0.99 | $1.06 | $0.91 | $1.05 | 3 430 862 |
Sep 15, 2022 | $0.99 | $1.07 | $0.99 | $1.00 | 691 137 |
Sep 14, 2022 | $0.98 | $1.03 | $0.95 | $1.00 | 706 399 |
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 SMFR stock historical prices to predict future price movements?
Trend Analysis: Examine the SMFR 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 SMFR 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.