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Range Low Price High Price Comment
30 days $57.47 $69.49 Tuesday, 28th May 2024 CNXN stock ended at $67.39. This is 1.16% less than the trading day before Friday, 24th May 2024. During the day the stock fluctuated 1.51% from a day low at $67.33 to a day high of $68.35.
90 days $57.47 $69.49
52 weeks $43.92 $70.47

Historical PC Connection Inc prices

Date Open High Low Close Volume
Aug 10, 2023 $53.18 $53.18 $51.62 $52.06 52 506
Aug 09, 2023 $54.00 $54.00 $50.71 $52.84 69 782
Aug 08, 2023 $53.40 $54.45 $52.61 $53.98 57 439
Aug 07, 2023 $51.96 $53.57 $50.79 $53.47 71 919
Aug 04, 2023 $51.85 $53.18 $50.97 $52.07 68 535
Aug 03, 2023 $50.00 $52.32 $48.29 $51.98 64 886
Aug 02, 2023 $49.02 $49.67 $48.97 $49.57 56 691
Aug 01, 2023 $48.22 $49.48 $48.17 $49.27 57 508
Jul 31, 2023 $47.72 $48.74 $47.42 $48.41 84 031
Jul 28, 2023 $47.99 $48.67 $47.69 $47.82 31 701
Jul 27, 2023 $48.30 $48.30 $47.54 $47.70 39 797
Jul 26, 2023 $47.40 $48.32 $47.40 $48.01 41 232
Jul 25, 2023 $46.51 $47.58 $46.51 $47.52 27 957
Jul 24, 2023 $46.14 $46.66 $45.88 $46.64 29 727
Jul 21, 2023 $46.46 $46.48 $45.79 $46.04 26 807
Jul 20, 2023 $46.55 $46.55 $45.67 $46.21 25 094
Jul 19, 2023 $45.67 $46.69 $45.33 $46.56 42 155
Jul 18, 2023 $46.02 $46.23 $45.16 $45.67 32 178
Jul 17, 2023 $46.20 $46.47 $45.62 $45.81 41 127
Jul 14, 2023 $45.88 $46.12 $45.29 $46.11 22 481
Jul 13, 2023 $46.25 $46.26 $45.77 $46.02 30 337
Jul 12, 2023 $45.99 $46.13 $45.62 $46.06 31 365
Jul 11, 2023 $45.03 $45.46 $44.72 $45.40 28 281
Jul 10, 2023 $44.44 $45.01 $44.44 $44.87 34 152
Jul 07, 2023 $44.74 $45.04 $44.41 $44.43 31 659

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.

How can I use CNXN stock historical prices to predict future price movements?
Trend Analysis: Examine the CNXN 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.

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.

Why do the CNXN 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.
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About PC Connection Inc

PC Connection PC Connection, Inc., together with its subsidiaries, provides various information technology (IT) solutions. The company operates through three segments: Business Solutions, Enterprise Solutions, and Public Sector Solutions. It offers IT products, including computer systems, data center solutions, software and peripheral equipment, networking communications, and other products and accessories, as well as provides services related to design, confi... CNXN Profile

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