The original title is: "Why Polymarket Bots Need Different Risk Logic Than Casino RNG Games"

Short summary

This article argues that Polymarket trading bots require fundamentally different risk logic than casino or RNG betting bots because prediction markets lack a stable ground-truth distribution. Prices react instantly to new information such as news, on-chain signals, and polls, meaning static-distribution risk models will misprice tail risk. The author sketches the outline of a better risk model but the post is truncated before delivering concrete implementation details.

• •Polymarket bots must not reuse casino RNG risk logic — the underlying distributions are fundamentally different
• •Prediction market prices shift on real-world information, so static risk models misprice tail risk immediately
• •Post hints at a better risk model but body is truncated before substantive detail

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