NASDAQ:CONN
Conn Stock Price (Quote)
$3.68
+0.110 (+3.08%)
At Close: May 17, 2024
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $3.29 | $3.93 | Friday, 17th May 2024 CONN stock ended at $3.68. This is 3.08% more than the trading day before Thursday, 16th May 2024. During the day the stock fluctuated 6.84% from a day low at $3.51 to a day high of $3.75. |
90 days | $2.92 | $5.06 | |
52 weeks | $2.55 | $5.26 |
Date | Open | High | Low | Close | Volume |
Apr 22, 2020 | $4.10 | $4.17 | $4.00 | $4.05 | 750 101 |
Apr 21, 2020 | $4.06 | $4.30 | $3.94 | $4.03 | 821 664 |
Apr 20, 2020 | $4.37 | $4.51 | $4.10 | $4.22 | 804 720 |
Apr 17, 2020 | $4.23 | $4.55 | $4.07 | $4.30 | 1 124 596 |
Apr 16, 2020 | $4.22 | $4.27 | $3.99 | $4.03 | 978 560 |
Apr 15, 2020 | $4.31 | $4.45 | $4.12 | $4.15 | 1 200 983 |
Apr 14, 2020 | $4.40 | $4.89 | $4.05 | $4.67 | 2 691 349 |
Apr 13, 2020 | $4.22 | $4.62 | $3.95 | $4.53 | 1 252 716 |
Apr 09, 2020 | $4.86 | $5.00 | $4.12 | $4.19 | 1 828 949 |
Apr 08, 2020 | $4.25 | $4.93 | $4.21 | $4.76 | 1 315 212 |
Apr 07, 2020 | $3.86 | $4.67 | $3.86 | $4.18 | 1 689 787 |
Apr 06, 2020 | $3.50 | $3.65 | $3.50 | $3.60 | 875 158 |
Apr 03, 2020 | $3.55 | $3.55 | $3.13 | $3.33 | 702 347 |
Apr 02, 2020 | $3.41 | $3.66 | $3.31 | $3.55 | 723 189 |
Apr 01, 2020 | $4.01 | $4.01 | $3.34 | $3.39 | 1 457 109 |
Mar 31, 2020 | $4.51 | $4.68 | $4.08 | $4.18 | 962 743 |
Mar 30, 2020 | $5.07 | $5.07 | $4.55 | $4.59 | 821 372 |
Mar 27, 2020 | $5.02 | $5.32 | $4.90 | $5.10 | 557 755 |
Mar 26, 2020 | $5.00 | $5.64 | $4.85 | $5.29 | 753 181 |
Mar 25, 2020 | $4.81 | $5.35 | $4.58 | $4.89 | 797 689 |
Mar 24, 2020 | $4.46 | $5.03 | $4.41 | $4.81 | 1 272 239 |
Mar 23, 2020 | $4.07 | $4.35 | $3.71 | $4.16 | 991 505 |
Mar 20, 2020 | $4.37 | $4.72 | $4.01 | $4.21 | 2 040 543 |
Mar 19, 2020 | $3.40 | $4.34 | $3.02 | $4.31 | 2 037 996 |
Mar 18, 2020 | $3.73 | $3.96 | $2.83 | $3.44 | 1 311 335 |
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 CONN stock historical prices to predict future price movements?
Trend Analysis: Examine the CONN 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 CONN 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.