NASDAQ:CFMS
Delisted
ConforMIS Stock Price (Quote)
$2.26
+0 (+0%)
At Close: Nov 30, 2023
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.26 | $2.26 | Thursday, 30th Nov 2023 CFMS stock ended at $2.26. During the day the stock fluctuated 0% from a day low at $2.26 to a day high of $2.26. |
90 days | $2.25 | $2.27 | |
52 weeks | $1.05 | $4.22 |
Date | Open | High | Low | Close | Volume |
Sep 27, 2019 | $1.94 | $1.94 | $1.84 | $1.87 | 356 146 |
Sep 26, 2019 | $1.96 | $1.96 | $1.86 | $1.90 | 467 044 |
Sep 25, 2019 | $1.89 | $1.96 | $1.89 | $1.96 | 191 054 |
Sep 24, 2019 | $2.03 | $2.08 | $1.85 | $1.93 | 810 307 |
Sep 23, 2019 | $2.00 | $2.10 | $1.93 | $2.06 | 370 657 |
Sep 20, 2019 | $1.93 | $2.00 | $1.88 | $1.99 | 535 889 |
Sep 19, 2019 | $2.00 | $2.00 | $1.93 | $1.93 | 300 381 |
Sep 18, 2019 | $1.98 | $2.00 | $1.90 | $2.00 | 474 990 |
Sep 17, 2019 | $1.97 | $2.01 | $1.91 | $1.98 | 571 591 |
Sep 16, 2019 | $1.97 | $2.00 | $1.86 | $1.99 | 673 479 |
Sep 13, 2019 | $1.99 | $1.99 | $1.90 | $1.98 | 433 100 |
Sep 12, 2019 | $1.93 | $2.01 | $1.89 | $1.97 | 688 110 |
Sep 11, 2019 | $2.01 | $2.07 | $1.92 | $1.93 | 599 473 |
Sep 10, 2019 | $2.02 | $2.03 | $1.79 | $2.00 | 627 683 |
Sep 09, 2019 | $2.00 | $2.06 | $1.92 | $2.02 | 809 366 |
Sep 06, 2019 | $2.16 | $2.20 | $1.97 | $1.98 | 939 512 |
Sep 05, 2019 | $2.12 | $2.18 | $1.94 | $2.15 | 1 004 261 |
Sep 04, 2019 | $2.20 | $2.20 | $1.99 | $2.08 | 692 674 |
Sep 03, 2019 | $2.10 | $2.30 | $2.10 | $2.20 | 643 178 |
Aug 30, 2019 | $2.26 | $2.29 | $2.08 | $2.14 | 595 276 |
Aug 29, 2019 | $2.33 | $2.35 | $2.18 | $2.25 | 814 495 |
Aug 28, 2019 | $2.09 | $2.33 | $2.07 | $2.29 | 772 434 |
Aug 27, 2019 | $2.21 | $2.27 | $2.07 | $2.11 | 863 014 |
Aug 26, 2019 | $1.95 | $2.27 | $1.86 | $2.19 | 1 614 217 |
Aug 23, 2019 | $2.02 | $2.06 | $1.86 | $1.92 | 826 466 |
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 CFMS stock historical prices to predict future price movements?
Trend Analysis: Examine the CFMS 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 CFMS 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.