VALIX

AI Builder & Researcher | 5Y in Crypto | Vibe Coder

[VALIX @RetroValix]

https://t.co/H9sOrI1giM

[VALIX @RetroValix]

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]

@Dan1ro0 I know this guy and have been following him for a long time. He’s a legend

[VALIX @RetroValix]

@Dan1ro0 Yeah, that’s true. Speed is one of the most important factors for trading bots

[VALIX @RetroValix]

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]

https://t.co/BGYzevYB99

[VALIX @RetroValix]

This guy used Grok Bot to build a Two-Sided Accumulation bot on Polymarket

Result: +$130,904

It trades 5 minute BTC Up/Down markets, combining complete-set accumulation with a directional residual

Several Grok Bot AI agents work together as one algorithm:

1. Builds positions in Up and Down at different times

It first accumulates one outcome, then starts buying the opposite side after the market moves

Once it has matching shares on both sides, it merges them

For example:

80 Up + 80 Down -> MERGE -> $80

If a pair’s total cost, including fees, is below $1, the difference becomes a structural edge

2. Keeps unpaired inventory directional

If it buys:

> 100 Up
> 80 Down

It can form 80 complete sets, while the remaining 20 Up shares stay directional

Its Polymarket account: flippingsharks

The system’s main edge comes from its inventory cycle:

> Accumulates both sides
> Builds complete sets for less than $1
> Keeps the unpaired remainder directional until resolution

[VALIX @RetroValix]

This guy used Grok Bot to build an asynchronous complete-set trading system on Polymarket

Result: +$319,430

The system makes 131 trades an hour in short-term crypto Up/Down markets, with an average trade size of $30.58

Several Grok Bot AI agents work together as one algorithm:

1. Builds positions on both sides

It bought both Up and Down in 88.76% of markets

The median gap between its first trades on each side is 35 seconds

It then keeps switching between them as the market reprices, turning directional inventory into matched Up/Down pairs

Average cost per pair:

> Up + Down before fees = 96.35¢
> Up + Down after taker fees = 98.69¢
> Structural edge = 1.31¢

2. Builds directional positions

Only 58.66% of two-sided markets ended up with an average cost per pair below $1 after fees

Some shares remain directional and provide an additional edge

Its Polymarket account: norm1e69

The system’s main edge comes from asynchronous pairing:

> It uses repricing to turn part of its Up and Down inventory into complete sets < $1
> It holds the unpaired remainder as a directional position until resolution

[VALIX @RetroValix]

This guy used Grok Bot to build a Two-Sided Accumulation bot on Polymarket

Result: +$130,904

It trades 5 minute BTC Up/Down markets, combining complete-set accumulation with a directional residual

Several Grok Bot AI agents work together as one algorithm:

1. Builds positions in Up and Down at different times

It first accumulates one outcome, then starts buying the opposite side after the market moves

Once it has matching shares on both sides, it merges them

For example:

80 Up + 80 Down -> MERGE -> $80

If a pair’s total cost, including fees, is below $1, the difference becomes a structural edge

2. Keeps unpaired inventory directional

If it buys:

> 100 Up
> 80 Down

It can form 80 complete sets, while the remaining 20 Up shares stay directional

Its Polymarket account: flippingsharks

The system’s main edge comes from its inventory cycle:

> Accumulates both sides
> Builds complete sets for less than $1
> Keeps the unpaired remainder directional until resolution

[VALIX @RetroValix]

https://t.co/BGYzevYB99

[VALIX @RetroValix]

@akuwazir Thanks for the reply, but I’d like to clarify that it bought both sides in 88% of markets

[VALIX @RetroValix]

This guy used Grok Bot to build an asynchronous complete-set trading system on Polymarket

Result: +$319,430

The system makes 131 trades an hour in short-term crypto Up/Down markets, with an average trade size of $30.58

Several Grok Bot AI agents work together as one algorithm:

1. Builds positions on both sides

It bought both Up and Down in 88.76% of markets

The median gap between its first trades on each side is 35 seconds

It then keeps switching between them as the market reprices, turning directional inventory into matched Up/Down pairs

Average cost per pair:

> Up + Down before fees = 96.35¢
> Up + Down after taker fees = 98.69¢
> Structural edge = 1.31¢

2. Builds directional positions

Only 58.66% of two-sided markets ended up with an average cost per pair below $1 after fees

Some shares remain directional and provide an additional edge

Its Polymarket account: norm1e69

The system’s main edge comes from asynchronous pairing:

> It uses repricing to turn part of its Up and Down inventory into complete sets < $1
> It holds the unpaired remainder as a directional position until resolution

[VALIX @RetroValix]

https://t.co/BGYzevYB99

[VALIX @RetroValix]

@kaddisdeployed Yeah, thanks for your feedback

[VALIX @RetroValix]

@Dan1ro0 Yes, but this is specifically temporal arbitrage

[VALIX @RetroValix]

@Dan1ro0 Using a microprice model in a Polymarket trading bot is a smart idea

[VALIX @RetroValix]

This guy used Grok Bot to build a directional repricing system on Polymarket

Result: +$149,920

It trades 5 minute BTC, ETH, and SOL Up/Down markets using fair value estimates and dynamic hedging

Several Grok Bot AI agents work together as one algorithm:

1. Looks for an undervalued outcome

It uses data from external sources to continuously update P(Up) and P(Down)

The model factors in the distance between the spot price and the opening level, time remaining, momentum, volatility, order flow, and a latency edge

For example:

> Down price = 67¢
> Model’s estimate for Down = 74%

It enters a position when it identifies an edge

After entry, the model keeps updating every few seconds. If confidence increases, the algorithm buys more of the same outcome

2. Hedges when the signal changes

If the edge starts to disappear, it may sell part of its original position

If the signal completely reverses, it sometimes buys the opposite outcome

Its Polymarket account: trinity42

The algorithm’s main edge comes from the gap between its own fair value estimate and the current market price:

> Buys undervalued outcomes quickly
> Increases position size as confidence grows
> Reduces exposure when the original signal starts to change

[VALIX @RetroValix]

@SparrowWack What do you mean?

[VALIX @RetroValix]

This guy used Grok Bot to build a directional repricing system on Polymarket

Result: +$149,920

It trades 5 minute BTC, ETH, and SOL Up/Down markets using fair value estimates and dynamic hedging

Several Grok Bot AI agents work together as one algorithm:

1. Looks for an undervalued outcome

It uses data from external sources to continuously update P(Up) and P(Down)

The model factors in the distance between the spot price and the opening level, time remaining, momentum, volatility, order flow, and a latency edge

For example:

> Down price = 67¢
> Model’s estimate for Down = 74%

It enters a position when it identifies an edge

After entry, the model keeps updating every few seconds. If confidence increases, the algorithm buys more of the same outcome

2. Hedges when the signal changes

If the edge starts to disappear, it may sell part of its original position

If the signal completely reverses, it sometimes buys the opposite outcome

Its Polymarket account: trinity42

The algorithm’s main edge comes from the gap between its own fair value estimate and the current market price:

> Buys undervalued outcomes quickly
> Increases position size as confidence grows
> Reduces exposure when the original signal starts to change

[VALIX @RetroValix]

https://t.co/BGYzevYB99

[VALIX @RetroValix]

@thenarrator About 6-7%. You can look up his account on Polymarket and check his pnl chart

[VALIX @RetroValix]

@Dan1ro0 Thanks for your support, fam. Glad you liked it. I tried to make this article as useful as possible

[VALIX @RetroValix]

https://t.co/BGYzevYB99

[VALIX @RetroValix]

@Dan1ro0 This guy definitely has the highest average daily returns I’ve seen on Polymarket. I think it’s time to look into his strategy. Thanks for sharing

[VALIX @RetroValix]

@Bober_smart What do you use your AI agent for?