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Insider Transactions
| Name | Transaction Date | Sold / Bought | Shares | Price | Value |
|---|---|---|---|---|---|
| CHADHA PAR | Apr 23, 2024 | Buy | 18,039 | $1.9999 | $36,000 |
| CHADHA PAR | Apr 22, 2024 | Buy | 31,961 | $1.9998 | $64,000 |
What's the latest insider transaction for Exela Technologies?
The most recent insider transaction for Exela Technologies was conducted by CHADHA PAR, who sold 18,039 shares on April 23, 2024 at a price of $2.00 per share.
Which insider bought the most XELA stock over the last two years?
CHADHA PAR has bought the most XELA stock in the last 2 years, with a total value of $100,000.
What is the total value of insider transactions for Exela Technologies (XELA) in the last 2 years?
According to our estimates, the total value of insider transactions for Exela Technologies in the last 2 years is positive, amounting to $100,000. This indicates that insiders have predominantly bought shares, showcasing their confidence in the company's future prospects.
How do insider transactions over the last 2 years reflect on Exela Technologies' market confidence?
Over the last 2 years, insider transactions for Exela Technologies have predominantly involved purchasing shares, indicating a strong confidence among insiders in the company's future prospects. This trend of more purchases than sales could be a positive signal to potential investors about the insiders' view on the company's valuation and growth potential.
Why is monitoring insider trading activity important for investors?
Monitoring insider trading activity is important because it provides insights into the confidence levels of a company's insiders, such as executives and directors, regarding the company's future prospects. Insider buying can signal optimism, suggesting the stock may be undervalued, while insider selling might raise questions about the stock's upcoming performance. However, it's essential to consider that sales can also occur for personal financial reasons. Insider trading activity is a valuable indicator that, when combined with other data, can help inform investment decisions.
