Sherman Kevin Charles
CIK: 0001483052
Sherman Kevin Charles's purchase track record
Sherman Kevin Charles has only 1 open-market purchase 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. |
|---|---|---|---|---|---|
| 11/18/2022 | WRAP | $10K | -7.9% | -57.0% | +5.7% |
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 | ▲ Buy | Grant | 32,150 | $0 | 12/22/2023 | View on chart |
| WRAP | ▲ Buy | Grant | 10,083 | — | 9/30/2023 | View on chart |
| WRAP | ▲ Buy | Grant | 10,360 | — | 7/7/2023 | View on chart |
| WRAP | ▲ Buy | Grant | 8,794 | — | 4/3/2023 | View on chart |
| WRAP | ▲ Buy | Grant | 8,950 | — | 3/6/2023 | View on chart |
| WRAP | ▲ Buy | Open Market | 4,250 | $10K | 11/18/2022 | View on chart |
| WRAP | ▲ Buy | Grant | 8,132 | — | 11/16/2022 | View on chart |
| WRAP | ▲ Buy | Grant | 8,845 | — | 11/16/2022 | View on chart |
| WRAP | ▲ Buy | Grant | 5,602 | — | 11/16/2022 | 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.