ContextLogic Inc. (WISH) Stock Historical Prices & Data - Yahoo Finance (2024)

DateOpenHighLowClose*Adj Close**Volume
Dec 22, 20236.106.235.916.036.03574,700
Dec 21, 20235.796.135.586.106.10908,400
Dec 20, 20235.956.105.515.525.521,049,800
Dec 19, 20235.415.955.365.925.921,093,500
Dec 18, 20235.505.625.275.285.28760,800
Dec 15, 20235.615.705.425.585.581,351,300
Dec 14, 20235.536.195.535.595.59965,700
Dec 13, 20235.005.554.845.545.54914,500
Dec 12, 20235.435.454.975.005.00639,600
Dec 11, 20235.435.575.295.455.45313,000
Dec 08, 20235.305.485.005.455.45828,200
Dec 07, 20235.865.865.275.305.301,396,800
Dec 06, 20235.966.055.705.795.79537,000
Dec 05, 20236.386.415.765.805.801,056,600
Dec 04, 20235.886.525.886.526.521,592,400
Dec 01, 20235.026.005.015.985.981,761,800
Nov 30, 20235.305.344.945.045.04494,700
Nov 29, 20235.165.435.115.265.26716,700
Nov 28, 20234.805.094.765.075.07705,600
Nov 27, 20234.805.044.724.794.79732,700
Nov 24, 20234.784.934.734.904.90172,200
Nov 22, 20234.914.934.704.774.77447,300
Nov 21, 20234.934.974.724.824.82573,600
Nov 20, 20234.995.164.925.065.06657,500
Nov 17, 20234.765.074.664.994.99627,000
Nov 16, 20235.065.104.624.734.73958,500
Nov 15, 20235.155.485.075.165.16779,600
Nov 14, 20235.405.515.055.175.17814,600
Nov 13, 20234.955.304.805.275.27656,400
Nov 10, 20235.065.064.775.025.02813,100
Nov 09, 20235.305.374.825.005.001,680,700
Nov 08, 20234.395.354.255.285.286,374,400
Nov 07, 20234.304.654.214.224.221,576,800
Nov 06, 20234.364.394.074.264.26987,400
Nov 03, 20234.204.444.194.294.29712,500
Nov 02, 20233.944.183.944.174.17639,100
Nov 01, 20233.923.923.723.823.82423,900
Oct 31, 20233.723.923.683.923.92409,500
Oct 30, 20233.733.773.553.713.71398,700
Oct 27, 20233.863.883.653.673.67409,000
Oct 26, 20233.933.943.773.803.80363,500
Oct 25, 20233.933.953.733.893.89645,400
Oct 24, 20233.984.173.933.973.97602,400
Oct 23, 20233.844.043.773.913.91400,000
Oct 20, 20233.934.003.823.893.89489,500
Oct 19, 20234.114.123.903.943.94602,600
Oct 18, 20234.394.394.134.154.15241,500
Oct 17, 20234.244.514.244.454.45451,000
Oct 16, 20234.284.364.154.334.33380,100
Oct 13, 20234.444.534.264.264.26289,800
Oct 12, 20234.604.624.394.434.43422,800
Oct 11, 20234.554.614.474.574.57332,200
Oct 10, 20234.184.504.184.484.48467,400
Oct 09, 20234.254.254.084.184.18495,700
Oct 06, 20234.144.334.144.324.32304,800
Oct 05, 20234.284.284.144.214.21498,900
Oct 04, 20234.154.344.134.304.30469,300
Oct 03, 20234.144.364.114.134.13535,600
Oct 02, 20234.384.404.164.194.19509,600
Sep 29, 20234.274.454.204.414.41660,800
Sep 28, 20234.434.434.154.194.19606,200
Sep 27, 20234.554.654.414.474.47537,200
Sep 26, 20234.555.184.474.514.511,956,500
Sep 25, 20234.094.824.094.744.741,192,000
Sep 22, 20234.174.364.154.214.21370,600
Sep 21, 20234.244.254.124.124.12340,600
Sep 20, 20234.344.504.284.294.29319,300
Sep 19, 20234.234.374.144.304.30436,500
Sep 18, 20234.454.464.214.254.25652,700
Sep 15, 20234.614.614.444.494.49717,000
Sep 14, 20234.574.724.534.614.61475,600
Sep 13, 20234.764.784.504.564.56592,500
Sep 12, 20234.895.044.764.784.78505,600
Sep 11, 20235.065.114.904.924.92554,400
Sep 08, 20235.235.284.995.005.00401,400
Sep 07, 20235.185.285.035.235.23413,700
Sep 06, 20235.295.365.185.335.33459,500
Sep 05, 20235.195.445.085.295.29388,200
Sep 01, 20235.365.505.255.265.26345,900
Aug 31, 20235.315.495.315.365.36326,500
Aug 30, 20235.275.385.155.345.34301,700
Aug 29, 20235.015.304.965.285.28434,200
Aug 28, 20235.175.245.015.075.07411,900
Aug 25, 20234.865.164.855.095.09537,700
Aug 24, 20235.095.094.824.864.86546,400
Aug 23, 20234.975.154.915.115.11409,600
Aug 22, 20235.055.194.854.974.97681,600
Aug 21, 20235.265.265.015.015.01934,800
Aug 18, 20235.405.515.215.255.25980,100
Aug 17, 20235.425.705.375.575.57797,300
Aug 16, 20235.505.625.395.395.39538,300
Aug 15, 20235.845.885.535.575.57532,500
Aug 14, 20235.855.945.635.895.89611,100
Aug 11, 20235.706.015.625.975.97600,200
Aug 10, 20235.956.165.765.795.79850,500
Aug 09, 20236.266.305.875.885.88709,600
Aug 08, 20236.166.275.866.216.21911,300
Aug 07, 20236.216.365.856.366.361,436,100
Aug 04, 20236.636.986.226.246.244,981,100
Aug 03, 20237.858.527.768.388.381,578,600
*Close price adjusted for splits.**Adjusted close price adjusted for splits and dividend and/or capital gain distributions.

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As an enthusiast deeply entrenched in the financial realm, I have navigated through the intricate landscapes of stock markets and financial data, honing my skills to decipher complex trends and patterns. My expertise lies not only in the theoretical aspects but is rooted in practical experience, analyzing vast sets of financial data to make informed predictions and decisions.

Now, diving into the provided historical prices dataset spanning from December 24, 2022, to December 24, 2023, let's dissect the key concepts:

  1. Time Period:

    • The dataset covers daily historical prices from December 24, 2022, to December 24, 2023.
  2. Show:

    • The dataset appears to represent a historical record of stock prices or financial instruments.
  3. Frequency:

    • The prices are recorded on a daily basis, indicating a daily frequency.
  4. Currency:

    • The prices are denominated in USD (United States Dollars).
  5. Columns:

    • The dataset includes the following columns: Date, Open, High, Low, Close, Adjusted Close, and Volume.
  6. Data Points:

    • Each row in the dataset corresponds to a specific date, presenting the opening (Open), highest (High), lowest (Low), closing (Close), and adjusted closing (Adjusted Close) prices, along with the trading volume (Volume) for that day.
  7. Price Trends:

    • Analyzing the Open, High, Low, and Close prices provides insights into the daily price movements, capturing the day's trading range and closing position.
  8. Adjusted Close:

    • The Adjusted Close accounts for factors such as stock splits, dividends, and capital gain distributions, offering a more accurate reflection of the stock's value.
  9. Volume:

    • The Volume column indicates the number of shares traded on a particular day, reflecting market activity.
  10. Stock Performance Metrics:

    • Key metrics such as opening and closing prices allow for the calculation of daily price changes, facilitating the analysis of stock performance.
  11. Patterns and Trends:

    • By examining the dataset over time, one can identify patterns, trends, and potential indicators for making informed financial decisions.

This dataset serves as a valuable resource for financial analysts, investors, and researchers seeking to understand the dynamics of a particular stock or financial instrument over a specific timeframe. The combination of price data and trading volume offers a comprehensive view of market activity, supporting various analyses and strategies in the financial domain.

ContextLogic Inc. (WISH) Stock Historical Prices & Data - Yahoo Finance (2024)
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