biggest losers stocks today -
biggest losers stocks today -
Calling: exa_web_search
- queries=["biggest stock market losers today June 1 2026"], post_search_concerns="The available financial tools are designed to pull data for *known* tickers. I do not have a tool to \"list the biggest losers\" for the entire market. I need to find which stocks are the biggest losers today using a search engine, and then I can potentially analyze them if needed."
As of June 1, 2026, the list of the biggest stock market losers includes a mix of small-cap, highly volatile, and some mid-to-large-cap equities. "Biggest losers" lists fluctuate throughout the trading day and can vary significantly depending on the data provider, as they often include penny stocks or companies experiencing sharp, news-driven sell-offs.
Below is a summary of some of the stocks seeing significant downward pressure today.
Market data indicates volatility in various sectors, with notable declines in the following:
| Company Name | Approx. Daily Change |
|---|---|
| Polestar Automotive | ~ -17% to -18% |
| Work Medical Technology | ~ -58% |
| Redwire Corporation | ~ -14% |
| Wolfspeed, Inc. | ~ -12% |
| Intuitive Machines, Inc. | ~ -11% |
| Viasat, Inc. | ~ -9% |
| Sunrun Inc. | ~ -8% |
| QUALCOMM Incorporated | ~ -7% |
| Navitas Semiconductor | ~ -6% |
Disclaimer: This information is for educational purposes and based on market data snapshots from June 1, 2026. Stock market data changes rapidly throughout the trading session.
put in datagrames and give bar chart of percetnage drop
Calling: compute
- code="import pandas as pd\n\ndata = {\n 'Company': ['Work Medical Tech', 'Polestar Automotive', 'Redwire Corp', 'Wolfspeed', 'Intuitive Machines', 'Viasat', 'Sunrun', 'QUALCOMM', 'Navitas Semi'],\n 'Drop_Pct': [-58.0, -17.0, -14.0, -12.0, -11.0, -9.0, -8.0, -7.0, -6.0]\n}\n\nresult = pd.DataFrame(data)\n", dataframe_ids=[]
Error: dataframe_ids is required
Calling: load
- metrics=["close"], tickers=["QCOM"]
DataFrame 88
OK qcom_price (1256 rows)
Calling: compute
- dataframe_ids=[88], code="import pandas as pd\n\ndata = {\n 'Company': ['Work Medical Tech', 'Polestar Automotive', 'Redwire Corp', 'Wolfspeed', 'Intuitive Machines', 'Viasat', 'Sunrun', 'QUALCOMM', 'Navitas Semi'],\n 'Drop_Pct': [-58.0, -17.0, -14.0, -12.0, -11.0, -9.0, -8.0, -7.0, -6.0]\n}\n\nresult = pd.DataFrame(data)\n"
DataFrame 89
OK result_89 (9 rows)
Calling: show
- dataframe_id=89
Blob 18
DataFrame 89
OK result_89 (9 rows)
Calling: show_chart
- series=["Drop_Pct"], dataframe_id=89, title="Percentage Stock Drops (June 1, 2026)", chart_type="bar", x="Company"
Blob 19
DataFrame 89
OK result_89 (9 rows)
why is wolfspeed down\
Calling: exa_web_search
- queries=["why is Wolfspeed stock down June 1 2026", "Wolfspeed WOLF stock news June 2026"], post_search_concerns="I need to find specific news or market analysis explaining the decline in Wolfspeed (WOLF) stock on or around June 1, 2026. My previous search mentioned it as a \"loser,\" but didn't provide the catalyst."
Wolfspeed's (WOLF) stock decline as of June 1, 2026, appears to be driven primarily by a correction following a highly speculative, sentiment-driven rally, compounded by fundamental concerns about the company's long-term business model.
Here are the key factors contributing to the downward pressure:
In short, the decline is less about a single "bad news" event today and more about a market correction as investors shift focus back from speculative enthusiasm to the company's challenging underlying financial situation.