This guy used Grok Bot to build a repricing system on Polymarket
Result: +$207,170
It trades 5 and 15 minute crypto Up/Down markets, combining a fair value model with dynamic hedging
Several Grok Bot AI agents work together as one algorithm:
1. Finds undervalued outcomes
At the start of each market, it records the reference price S₀ and monitors spot/perp feeds for the underlying asset
The model then updates fair value based on how far the price is from S₀, time to resolution, momentum, acceleration, volatility, and order flow
Model Edge = p_model(outcome) - market price
If the edge is large enough to cover the spread and fees, it starts buying that outcome
2. Adds the opposite outcome to its existing position when the signal reverses
As its fair value estimates shift toward the other side, the trading sequence can look like this:
Up → Down → Up → Down
Buying the opposite outcome reduces net exposure and acts as a dynamic hedge
Its Polymarket account: std0
The system’s main edge comes from how fast it updates fair value:
> Tries to detect changes in fair value before market prices adjust
> Increases exposure as the signal strengthens
> Uses the opposite outcome to adjust its position
VALIX @RetroValix
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