# kaal:claim:3409548-003

**Claim.** 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.

**Type.** mechanism  **Support.** asserted

**Source quote.**

> 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.

**From.** Kaal, *Financial Technology and Hedge Funds* (2019), II. Financial Technology and Hedge Funds, page 6

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

**Verify.** sha256 of source PDF `74227ab2656b06bfe4a29c942fc2ba26df9f476917e0a9f85ec038b8c3402c40` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202019%20-%20Financial%20Technology%20and%20Hedge%20Funds.pdf

**Topics.** ai-and-agents

**Keywords.** deep-learning, machine-learning, trading-technology, automation

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