Mullins Kevin W
Known title: PRESIDENTCIK: 0001923390
Mullins Kevin W's purchase track record
Mullins Kevin W has only 2 open-market purchases with a full 6 months of price history after it -- too few to call a track record yet.
| Purchase | Stock | Amount | 3 months | 6 months | S&P 500, 6 mo. |
|---|---|---|---|---|---|
| 5/30/2023 | WRAP | $21K | +53.8% | +151.9% | +8.3% |
| 11/15/2022 | WRAP | $50K | +12.5% | -40.5% | +3.0% |
Computed by MarketWall from SEC Form 4 filings and daily closing prices (close on the purchase date to the close about 3 and 6 months later). Companies that have since delisted are not included. Past results, not investment advice.
Associated companies
Transaction History
| WRAP | ▼ Sell | Open Market | 12,730 | $27K | 6/24/2024 | View on chart |
| WRAP | ▼ Sell | Other | 250,000 | — | 8/16/2023 | View on chart |
| WRAP | ▲ Buy | Open Market | 20,000 | $21K | 5/30/2023 | View on chart |
| WRAP | ▼ Sell | Tax Withholding | 21,872 | $25K | 5/18/2023 | View on chart |
| WRAP | ▼ Sell | Tax Withholding | 16,805 | $20K | 4/25/2023 | View on chart |
| WRAP | ▲ Buy | Grant | 64,655 | — | 4/24/2023 | View on chart |
| WRAP | ▲ Buy | Open Market | 25,000 | $50K | 11/15/2022 | View on chart |
| WRAP | ▲ Buy | Grant | 175,173 | — | 4/19/2022 | View on chart |
AI Market Commentary
AI-generatedAll commentary →Synthesized from recent news and fundamentals/technical data -- not human analyst commentary or trader sentiment.
October 1, 2026
Wrap Technologies Faces AI Training Decay Challenge
A Yahoo article discusses AI training decay and the need for continuous, scenario‑based readiness. This highlights the importance of up‑to‑date training data for AI models, a core part of Wrap Technologies’ business. The article suggests that companies must adapt training pipelines to avoid performance loss over time.
Wrap Technologies Faces AI Training Decay Challenge. A Yahoo article discusses AI training decay and the need for continuous, scenario‑based readiness. This highlights the importance of up‑to‑date training data for AI models, a core part of Wrap Technologies’ business. The article suggests that companies must adapt training pipelines to avoid performance loss over time.