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In this video Alexander Lorenzo explains why running a fully autonomous AI crypto‑trading agent is financially prohibitive – the research component alone can cost $400‑$500 per day, translating to roughly $3,000 a month for a $100k portfolio. To make the service affordable, his team separates the expensive coin‑research function into a centrally hosted “smart agent” that continuously discovers and ranks coins. Users receive an “execution file” that they run on their own cloud infrastructure; this executor connects to a beacon and autonomously places buy and sell orders on the user’s behalf, satisfying legal requirements that the user’s system make the final trade decisions. Because the execution side is simple (just buying and selling), its cost can be driven down dramatically, with a target of about $10 per day, depending on trade frequency. The overall architecture aims to keep sophisticated research while dramatically reducing the per‑user execution expense.

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