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 |
Feb 01, 2023 | $9.43 | $9.51 | $8.99 | $9.37 | 174 621 |
Jan 31, 2023 | $8.94 | $9.55 | $8.94 | $9.41 | 152 625 |
Jan 30, 2023 | $8.88 | $9.17 | $8.76 | $8.94 | 151 026 |
Jan 27, 2023 | $8.76 | $9.03 | $8.50 | $8.88 | 309 266 |
Jan 26, 2023 | $9.34 | $9.42 | $8.59 | $8.73 | 288 304 |
Jan 25, 2023 | $9.68 | $9.91 | $8.95 | $9.18 | 829 094 |
Jan 24, 2023 | $10.04 | $10.19 | $9.62 | $9.80 | 240 165 |
Jan 23, 2023 | $10.26 | $10.53 | $10.06 | $10.12 | 361 422 |
Jan 20, 2023 | $9.94 | $10.22 | $9.75 | $10.14 | 243 700 |
Jan 19, 2023 | $10.49 | $10.55 | $9.55 | $9.86 | 378 912 |
Jan 18, 2023 | $10.38 | $10.71 | $10.25 | $10.57 | 373 100 |
Jan 17, 2023 | $10.10 | $10.39 | $9.74 | $10.30 | 297 408 |
Jan 13, 2023 | $9.93 | $10.47 | $9.92 | $10.12 | 538 142 |
Jan 12, 2023 | $10.06 | $10.48 | $9.84 | $10.12 | 389 530 |
Jan 11, 2023 | $9.77 | $10.24 | $9.73 | $10.06 | 824 538 |
Jan 10, 2023 | $8.74 | $10.02 | $8.55 | $10.02 | 971 200 |
Jan 09, 2023 | $8.94 | $9.03 | $8.50 | $8.72 | 260 100 |
Jan 06, 2023 | $8.80 | $8.97 | $8.50 | $8.94 | 360 400 |
Jan 05, 2023 | $8.30 | $8.80 | $8.30 | $8.70 | 514 791 |
Jan 04, 2023 | $7.16 | $8.24 | $7.13 | $8.22 | 428 815 |
Jan 03, 2023 | $6.98 | $7.20 | $6.91 | $7.13 | 241 945 |
Dec 30, 2022 | $6.83 | $7.00 | $6.74 | $6.88 | 293 569 |
Dec 29, 2022 | $6.77 | $7.02 | $6.73 | $6.99 | 254 769 |
Dec 28, 2022 | $6.43 | $6.84 | $6.43 | $6.63 | 395 379 |
Dec 27, 2022 | $6.48 | $6.57 | $6.30 | $6.34 | 219 603 |
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.