DeAlmeida Christopher James
Known title: CHIEF FINANCIAL OFFICERCIK: 0001578001
DeAlmeida Christopher James's purchase track record
DeAlmeida Christopher James 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. |
|---|---|---|---|---|---|
| 5/26/2023 | WRAP | $8K | +69.6% | +168.0% | +8.4% |
| 11/14/2022 | WRAP | $32K | +12.0% | -35.9% | +4.5% |
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 | 10,367 | $19K | 7/26/2023 | View on chart |
| WRAP | ▲ Buy | Open Market | 7,300 | $8K | 5/26/2023 | View on chart |
| WRAP | ▼ Sell | Tax Withholding | 7,277 | $9K | 4/25/2023 | View on chart |
| WRAP | ▲ Buy | Grant | 24,695 | — | 4/24/2023 | View on chart |
| WRAP | ▲ Buy | Open Market | 17,250 | $32K | 11/14/2022 | View on chart |
| WRAP | ▲ Buy | Grant | 125,000 | — | 7/25/2022 | 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.