Time Period:
Dec 24, 2022 - Dec 24, 2023
Show: Historical Prices
Frequency: Daily
Currency in USDDownload
Date | Open | High | Low | Close* | Adj Close** | Volume |
---|---|---|---|---|---|---|
Dec 22, 2023 | 6.10 | 6.23 | 5.91 | 6.03 | 6.03 | 574,700 |
Dec 21, 2023 | 5.79 | 6.13 | 5.58 | 6.10 | 6.10 | 908,400 |
Dec 20, 2023 | 5.95 | 6.10 | 5.51 | 5.52 | 5.52 | 1,049,800 |
Dec 19, 2023 | 5.41 | 5.95 | 5.36 | 5.92 | 5.92 | 1,093,500 |
Dec 18, 2023 | 5.50 | 5.62 | 5.27 | 5.28 | 5.28 | 760,800 |
Dec 15, 2023 | 5.61 | 5.70 | 5.42 | 5.58 | 5.58 | 1,351,300 |
Dec 14, 2023 | 5.53 | 6.19 | 5.53 | 5.59 | 5.59 | 965,700 |
Dec 13, 2023 | 5.00 | 5.55 | 4.84 | 5.54 | 5.54 | 914,500 |
Dec 12, 2023 | 5.43 | 5.45 | 4.97 | 5.00 | 5.00 | 639,600 |
Dec 11, 2023 | 5.43 | 5.57 | 5.29 | 5.45 | 5.45 | 313,000 |
Dec 08, 2023 | 5.30 | 5.48 | 5.00 | 5.45 | 5.45 | 828,200 |
Dec 07, 2023 | 5.86 | 5.86 | 5.27 | 5.30 | 5.30 | 1,396,800 |
Dec 06, 2023 | 5.96 | 6.05 | 5.70 | 5.79 | 5.79 | 537,000 |
Dec 05, 2023 | 6.38 | 6.41 | 5.76 | 5.80 | 5.80 | 1,056,600 |
Dec 04, 2023 | 5.88 | 6.52 | 5.88 | 6.52 | 6.52 | 1,592,400 |
Dec 01, 2023 | 5.02 | 6.00 | 5.01 | 5.98 | 5.98 | 1,761,800 |
Nov 30, 2023 | 5.30 | 5.34 | 4.94 | 5.04 | 5.04 | 494,700 |
Nov 29, 2023 | 5.16 | 5.43 | 5.11 | 5.26 | 5.26 | 716,700 |
Nov 28, 2023 | 4.80 | 5.09 | 4.76 | 5.07 | 5.07 | 705,600 |
Nov 27, 2023 | 4.80 | 5.04 | 4.72 | 4.79 | 4.79 | 732,700 |
Nov 24, 2023 | 4.78 | 4.93 | 4.73 | 4.90 | 4.90 | 172,200 |
Nov 22, 2023 | 4.91 | 4.93 | 4.70 | 4.77 | 4.77 | 447,300 |
Nov 21, 2023 | 4.93 | 4.97 | 4.72 | 4.82 | 4.82 | 573,600 |
Nov 20, 2023 | 4.99 | 5.16 | 4.92 | 5.06 | 5.06 | 657,500 |
Nov 17, 2023 | 4.76 | 5.07 | 4.66 | 4.99 | 4.99 | 627,000 |
Nov 16, 2023 | 5.06 | 5.10 | 4.62 | 4.73 | 4.73 | 958,500 |
Nov 15, 2023 | 5.15 | 5.48 | 5.07 | 5.16 | 5.16 | 779,600 |
Nov 14, 2023 | 5.40 | 5.51 | 5.05 | 5.17 | 5.17 | 814,600 |
Nov 13, 2023 | 4.95 | 5.30 | 4.80 | 5.27 | 5.27 | 656,400 |
Nov 10, 2023 | 5.06 | 5.06 | 4.77 | 5.02 | 5.02 | 813,100 |
Nov 09, 2023 | 5.30 | 5.37 | 4.82 | 5.00 | 5.00 | 1,680,700 |
Nov 08, 2023 | 4.39 | 5.35 | 4.25 | 5.28 | 5.28 | 6,374,400 |
Nov 07, 2023 | 4.30 | 4.65 | 4.21 | 4.22 | 4.22 | 1,576,800 |
Nov 06, 2023 | 4.36 | 4.39 | 4.07 | 4.26 | 4.26 | 987,400 |
Nov 03, 2023 | 4.20 | 4.44 | 4.19 | 4.29 | 4.29 | 712,500 |
Nov 02, 2023 | 3.94 | 4.18 | 3.94 | 4.17 | 4.17 | 639,100 |
Nov 01, 2023 | 3.92 | 3.92 | 3.72 | 3.82 | 3.82 | 423,900 |
Oct 31, 2023 | 3.72 | 3.92 | 3.68 | 3.92 | 3.92 | 409,500 |
Oct 30, 2023 | 3.73 | 3.77 | 3.55 | 3.71 | 3.71 | 398,700 |
Oct 27, 2023 | 3.86 | 3.88 | 3.65 | 3.67 | 3.67 | 409,000 |
Oct 26, 2023 | 3.93 | 3.94 | 3.77 | 3.80 | 3.80 | 363,500 |
Oct 25, 2023 | 3.93 | 3.95 | 3.73 | 3.89 | 3.89 | 645,400 |
Oct 24, 2023 | 3.98 | 4.17 | 3.93 | 3.97 | 3.97 | 602,400 |
Oct 23, 2023 | 3.84 | 4.04 | 3.77 | 3.91 | 3.91 | 400,000 |
Oct 20, 2023 | 3.93 | 4.00 | 3.82 | 3.89 | 3.89 | 489,500 |
Oct 19, 2023 | 4.11 | 4.12 | 3.90 | 3.94 | 3.94 | 602,600 |
Oct 18, 2023 | 4.39 | 4.39 | 4.13 | 4.15 | 4.15 | 241,500 |
Oct 17, 2023 | 4.24 | 4.51 | 4.24 | 4.45 | 4.45 | 451,000 |
Oct 16, 2023 | 4.28 | 4.36 | 4.15 | 4.33 | 4.33 | 380,100 |
Oct 13, 2023 | 4.44 | 4.53 | 4.26 | 4.26 | 4.26 | 289,800 |
Oct 12, 2023 | 4.60 | 4.62 | 4.39 | 4.43 | 4.43 | 422,800 |
Oct 11, 2023 | 4.55 | 4.61 | 4.47 | 4.57 | 4.57 | 332,200 |
Oct 10, 2023 | 4.18 | 4.50 | 4.18 | 4.48 | 4.48 | 467,400 |
Oct 09, 2023 | 4.25 | 4.25 | 4.08 | 4.18 | 4.18 | 495,700 |
Oct 06, 2023 | 4.14 | 4.33 | 4.14 | 4.32 | 4.32 | 304,800 |
Oct 05, 2023 | 4.28 | 4.28 | 4.14 | 4.21 | 4.21 | 498,900 |
Oct 04, 2023 | 4.15 | 4.34 | 4.13 | 4.30 | 4.30 | 469,300 |
Oct 03, 2023 | 4.14 | 4.36 | 4.11 | 4.13 | 4.13 | 535,600 |
Oct 02, 2023 | 4.38 | 4.40 | 4.16 | 4.19 | 4.19 | 509,600 |
Sep 29, 2023 | 4.27 | 4.45 | 4.20 | 4.41 | 4.41 | 660,800 |
Sep 28, 2023 | 4.43 | 4.43 | 4.15 | 4.19 | 4.19 | 606,200 |
Sep 27, 2023 | 4.55 | 4.65 | 4.41 | 4.47 | 4.47 | 537,200 |
Sep 26, 2023 | 4.55 | 5.18 | 4.47 | 4.51 | 4.51 | 1,956,500 |
Sep 25, 2023 | 4.09 | 4.82 | 4.09 | 4.74 | 4.74 | 1,192,000 |
Sep 22, 2023 | 4.17 | 4.36 | 4.15 | 4.21 | 4.21 | 370,600 |
Sep 21, 2023 | 4.24 | 4.25 | 4.12 | 4.12 | 4.12 | 340,600 |
Sep 20, 2023 | 4.34 | 4.50 | 4.28 | 4.29 | 4.29 | 319,300 |
Sep 19, 2023 | 4.23 | 4.37 | 4.14 | 4.30 | 4.30 | 436,500 |
Sep 18, 2023 | 4.45 | 4.46 | 4.21 | 4.25 | 4.25 | 652,700 |
Sep 15, 2023 | 4.61 | 4.61 | 4.44 | 4.49 | 4.49 | 717,000 |
Sep 14, 2023 | 4.57 | 4.72 | 4.53 | 4.61 | 4.61 | 475,600 |
Sep 13, 2023 | 4.76 | 4.78 | 4.50 | 4.56 | 4.56 | 592,500 |
Sep 12, 2023 | 4.89 | 5.04 | 4.76 | 4.78 | 4.78 | 505,600 |
Sep 11, 2023 | 5.06 | 5.11 | 4.90 | 4.92 | 4.92 | 554,400 |
Sep 08, 2023 | 5.23 | 5.28 | 4.99 | 5.00 | 5.00 | 401,400 |
Sep 07, 2023 | 5.18 | 5.28 | 5.03 | 5.23 | 5.23 | 413,700 |
Sep 06, 2023 | 5.29 | 5.36 | 5.18 | 5.33 | 5.33 | 459,500 |
Sep 05, 2023 | 5.19 | 5.44 | 5.08 | 5.29 | 5.29 | 388,200 |
Sep 01, 2023 | 5.36 | 5.50 | 5.25 | 5.26 | 5.26 | 345,900 |
Aug 31, 2023 | 5.31 | 5.49 | 5.31 | 5.36 | 5.36 | 326,500 |
Aug 30, 2023 | 5.27 | 5.38 | 5.15 | 5.34 | 5.34 | 301,700 |
Aug 29, 2023 | 5.01 | 5.30 | 4.96 | 5.28 | 5.28 | 434,200 |
Aug 28, 2023 | 5.17 | 5.24 | 5.01 | 5.07 | 5.07 | 411,900 |
Aug 25, 2023 | 4.86 | 5.16 | 4.85 | 5.09 | 5.09 | 537,700 |
Aug 24, 2023 | 5.09 | 5.09 | 4.82 | 4.86 | 4.86 | 546,400 |
Aug 23, 2023 | 4.97 | 5.15 | 4.91 | 5.11 | 5.11 | 409,600 |
Aug 22, 2023 | 5.05 | 5.19 | 4.85 | 4.97 | 4.97 | 681,600 |
Aug 21, 2023 | 5.26 | 5.26 | 5.01 | 5.01 | 5.01 | 934,800 |
Aug 18, 2023 | 5.40 | 5.51 | 5.21 | 5.25 | 5.25 | 980,100 |
Aug 17, 2023 | 5.42 | 5.70 | 5.37 | 5.57 | 5.57 | 797,300 |
Aug 16, 2023 | 5.50 | 5.62 | 5.39 | 5.39 | 5.39 | 538,300 |
Aug 15, 2023 | 5.84 | 5.88 | 5.53 | 5.57 | 5.57 | 532,500 |
Aug 14, 2023 | 5.85 | 5.94 | 5.63 | 5.89 | 5.89 | 611,100 |
Aug 11, 2023 | 5.70 | 6.01 | 5.62 | 5.97 | 5.97 | 600,200 |
Aug 10, 2023 | 5.95 | 6.16 | 5.76 | 5.79 | 5.79 | 850,500 |
Aug 09, 2023 | 6.26 | 6.30 | 5.87 | 5.88 | 5.88 | 709,600 |
Aug 08, 2023 | 6.16 | 6.27 | 5.86 | 6.21 | 6.21 | 911,300 |
Aug 07, 2023 | 6.21 | 6.36 | 5.85 | 6.36 | 6.36 | 1,436,100 |
Aug 04, 2023 | 6.63 | 6.98 | 6.22 | 6.24 | 6.24 | 4,981,100 |
Aug 03, 2023 | 7.85 | 8.52 | 7.76 | 8.38 | 8.38 | 1,578,600 |
*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:
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Time Period:
- The dataset covers daily historical prices from December 24, 2022, to December 24, 2023.
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Show:
- The dataset appears to represent a historical record of stock prices or financial instruments.
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Frequency:
- The prices are recorded on a daily basis, indicating a daily frequency.
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Currency:
- The prices are denominated in USD (United States Dollars).
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Columns:
- The dataset includes the following columns: Date, Open, High, Low, Close, Adjusted Close, and Volume.
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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.
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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.
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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.
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Volume:
- The Volume column indicates the number of shares traded on a particular day, reflecting market activity.
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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.
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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.