kaal:claim:3409548-003

Current hedge fund trading technology is hard coded by humans, whereas deep learning systems can be given a simple command and derive a result from data on their own; this is the operative difference between legacy quantitative tools and machine learning.

The current technology used in hedge fund trading is hard coded by a human. In contrast, a deep learning AI machine learning algorithm can be given a simple command and automatically find a result based on data.

Kaal, Financial Technology and Hedge Funds (2019), II. Financial Technology and Hedge Funds, p. 6
https://ssrn.com/abstract=3409548 · source PDF

Kaal, Financial Technology and Hedge Funds (2019). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3409548

mechanismsupport: assertedai-and-agents

The quote above is an exact substring of the source PDF, whose sha256 is 74227ab2656b06bfe4a29c942fc2ba26df9f476917e0a9f85ec038b8c3402c40. Extraction method: pdf-text-layer.
Attestation record: colloquium/attestations/8b816464c8005a58...json
Verify the binding yourself: curl -s https://wulfkaal.github.io/claims/3409548-003.md | sha256sum