Hickman Glenn M
Known title: CHIEF OPERATING OFFICERCIK: 0001871560
Hickman Glenn M's purchase track record
Hickman Glenn M 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. |
|---|---|---|---|---|---|
| 5/6/2022 | WRAP | $27K | -24.1% | -49.8% | -8.6% |
| 12/6/2021 | WRAP | $24K | -54.4% | -52.1% | -10.2% |
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 | Tax Withholding | 6,608 | $13K | 3/9/2023 | View on chart |
| WRAP | ▼ Sell | Tax Withholding | 1,691 | $3K | 1/3/2023 | View on chart |
| WRAP | ▼ Sell | Tax Withholding | 2,950 | $5K | 7/1/2022 | View on chart |
| WRAP | ▲ Buy | Open Market | 11,070 | $27K | 5/6/2022 | View on chart |
| WRAP | ▲ Buy | Grant | 50,000 | $0 | 3/2/2022 | View on chart |
| WRAP | ▲ Buy | Open Market | 5,500 | $24K | 12/6/2021 | 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.