NASDAQ:CRDF
Cardiff Oncology Inc. Stock Price (Quote)
$3.18
+0 (+0%)
At Close: May 31, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.08 | $4.50 | Friday, 31st May 2024 CRDF stock ended at $3.18. During the day the stock fluctuated 4.74% from a day low at $3.15 to a day high of $3.30. |
90 days | $2.97 | $6.42 | |
52 weeks | $0.94 | $6.42 |
Historical Cardiff Oncology Inc. prices
Date | Open | High | Low | Close | Volume |
May 08, 2019 | $3.40 | $3.44 | $3.15 | $3.27 | 214 673 |
May 07, 2019 | $3.51 | $3.57 | $3.30 | $3.39 | 174 051 |
May 06, 2019 | $3.51 | $3.56 | $3.41 | $3.56 | 237 615 |
May 03, 2019 | $3.65 | $3.70 | $3.50 | $3.62 | 313 368 |
May 02, 2019 | $3.45 | $3.64 | $3.31 | $3.59 | 416 931 |
May 01, 2019 | $3.46 | $3.53 | $3.31 | $3.45 | 167 864 |
Apr 30, 2019 | $3.51 | $3.53 | $3.36 | $3.49 | 221 526 |
Apr 29, 2019 | $3.39 | $3.53 | $3.33 | $3.52 | 204 918 |
Apr 26, 2019 | $3.38 | $3.45 | $3.25 | $3.40 | 191 966 |
Apr 25, 2019 | $3.51 | $3.52 | $3.40 | $3.43 | 223 234 |
Apr 24, 2019 | $3.70 | $3.73 | $3.41 | $3.56 | 428 416 |
Apr 23, 2019 | $4.16 | $4.20 | $3.61 | $3.85 | 7 787 646 |
Apr 22, 2019 | $3.43 | $3.44 | $3.22 | $3.27 | 75 314 |
Apr 18, 2019 | $3.34 | $3.45 | $3.30 | $3.37 | 101 382 |
Apr 17, 2019 | $3.49 | $3.53 | $3.32 | $3.37 | 130 864 |
Apr 16, 2019 | $3.58 | $3.60 | $3.47 | $3.51 | 173 913 |
Apr 15, 2019 | $3.72 | $3.94 | $3.57 | $3.60 | 425 358 |
Apr 12, 2019 | $3.73 | $3.75 | $3.59 | $3.75 | 149 323 |
Apr 11, 2019 | $3.80 | $3.80 | $3.65 | $3.69 | 205 936 |
Apr 10, 2019 | $3.87 | $3.99 | $3.71 | $3.74 | 228 291 |
Apr 09, 2019 | $3.90 | $3.96 | $3.74 | $3.90 | 187 633 |
Apr 08, 2019 | $3.78 | $4.00 | $3.65 | $3.95 | 427 549 |
Apr 05, 2019 | $4.78 | $4.82 | $3.90 | $3.90 | 7 724 948 |
Apr 04, 2019 | $3.77 | $3.89 | $3.51 | $3.60 | 367 487 |
Apr 03, 2019 | $3.93 | $3.99 | $3.74 | $3.80 | 452 428 |
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 CRDF stock historical prices to predict future price movements?
Trend Analysis: Examine the CRDF 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 CRDF 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.