Matching Stocks1-25 of 179 results
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Results were generated a few mins ago. Pricing data is updated frequently. Currency in USD
| Symbol | Name | Price (Intraday) | Change | % Change | Volume | Avg Vol (3 month) | Market Cap | PE Ratio (TTM) | 52 Week Range |
|---|---|---|---|---|---|---|---|---|---|
| TSLA | Tesla, Inc. | 121.205M | 80.02 | ||||||
| MARA | Marathon Digital Holdings, Inc. | 41.544M | N/A | ||||||
| NIO | NIO Inc. | 44.935M | N/A | ||||||
| SOFI | SoFi Technologies, Inc. | 38.249M | N/A | ||||||
| PLTR | Palantir Technologies Inc. | 63.549M | 247.86 | ||||||
| AMD | Advanced Micro Devices, Inc. | 56.756M | 1,237.71 | ||||||
| F | Ford Motor Company | 54.398M | 7.72 | ||||||
| PFE | Pfizer Inc. | 38.04M | 15.15 | ||||||
| RIOT | Riot Platforms, Inc. | 24.274M | N/A | ||||||
| AFRM | Affirm Holdings, Inc. | 18.796M | N/A | ||||||
| GOOGL | Alphabet Inc. | 29.228M | 26.59 | ||||||
| AMZN | Amazon.com, Inc. | 53.569M | 79.85 | ||||||
| BAC | Bank of America Corporation | 48.228M | 9.27 | ||||||
| RIVN | Rivian Automotive, Inc. | 41.668M | N/A | ||||||
| NVDA | NVIDIA Corporation | 43.881M | 63.82 | ||||||
| AAPL | Apple Inc. | 54.779M | 31.95 | ||||||
| PLUG | Plug Power Inc. | 34.428M | N/A | ||||||
| LCID | Lucid Group, Inc. | 32.57M | N/A | ||||||
| HOOD | Robinhood Markets, Inc. | 10.913M | N/A | ||||||
| DNA | Ginkgo Bioworks Holdings, Inc. | 19.667M | N/A | ||||||
| CCL | Carnival Corporation & plc | 31.112M | N/A | ||||||
| GOOG | Alphabet Inc. | 22.405M | 26.84 | ||||||
| OPEN | Opendoor Technologies Inc. | 19.273M | N/A | ||||||
| T | AT&T Inc. | 37.647M | N/A | ||||||
| SNAP | Snap Inc. | 25.665M | N/A |
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The provided data seems to be a snapshot of stock market information, displaying various companies' details. Each row seems to represent a different stock, with columns detailing the stock's symbol, name, price, changes in price, volume, market cap, and other relevant financial metrics. This is a standard format used in financial platforms and tools to present a summary of stock market activities.
Let's break down the concepts mentioned:
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Results List: The data seems to be presented in a tabular format, possibly retrieved from a financial website or platform that lists stock market information.
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Heatmap View: While not explicitly visible in the text, a heatmap view typically represents data using colors to make it easier to visualize and interpret. In this context, it might refer to a color-coded representation of the numerical values in the table, indicating positive or negative changes in stock prices or other metrics.
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Matching Stocks: This likely pertains to the search or filter function within the platform, allowing users to find specific stocks based on criteria like name, symbol, price range, or other financial metrics.
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179 Results: It appears that the dataset contains information about 179 different stocks.
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Add to Portfolio/Share: These options suggest interactivity, allowing users to add selected stocks to a personal portfolio or share the information through various channels.
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Currency in USD: The prices and market cap values are denominated in US dollars.
The provided table includes various columns with financial data for each stock:
- Symbol: Stock ticker symbol identifying each company.
- Name: Company name corresponding to the stock.
- Price (Intraday): Current trading price of the stock during the day.
- Change: The difference in the stock's price compared to the previous day's closing price.
- % Change: Percentage change in the stock's price.
- Volume: Number of shares traded during a specific period.
- Avg Vol (3 month): Average trading volume over the past three months.
- Market Cap: The total market value of a company's outstanding shares.
- PE Ratio (TTM): Price-to-Earnings ratio based on the trailing twelve months.
- 52 Week Range: Highest and lowest prices at which a stock has traded during the last 52 weeks.
Understanding this information can help investors make informed decisions based on stock performance, trading volumes, market capitalization, and more. It's crucial to consider multiple factors and perform in-depth analysis before making investment choices.
