@mega_dreamer is Predyx a LMSR-based AMM model?

seeing the current percentages for this market do you think this would be a cheat script?

import numpy as np
import matplotlib.pyplot as plt

# LMSR Cost function: C(q) = b * ln(sum(exp(q_i / b)))
# Here, we track two outcomes: Pacers and Thunder

def lmsr_cost(q1, q2, b):
    return b * np.log(np.exp(q1 / b) + np.exp(q2 / b))

# Marginal price of outcome 1 (Pacers)
def lmsr_price(q1, q2, b):
    return np.exp(q1 / b) / (np.exp(q1 / b) + np.exp(q2 / b))

# Simulate cost of buying shares
def simulate_lmsr_buy(initial_q1, initial_q2, b, buy_shares, outcome='q1'):
    # Determine which quantity we are increasing
    q1, q2 = initial_q1, initial_q2
    new_q1 = q1 + buy_shares if outcome == 'q1' else q1
    new_q2 = q2 + buy_shares if outcome == 'q2' else q2

    # Initial and final cost
    initial_cost = lmsr_cost(q1, q2, b)
    final_cost = lmsr_cost(new_q1, new_q2, b)

    # Total cost to buy `buy_shares` of the selected outcome
    cost = final_cost - initial_cost

    # Final probability (price)
    final_price = lmsr_price(new_q1, new_q2, b)

    return cost, final_price

# Parameters
b = 10000  # liquidity parameter (higher b = more stable market)
initial_q1 = 0
initial_q2 = 0
buy_shares = 50000

# Simulate buying 50K shares for Pacers (q1)
cost_pacers, final_price_pacers = simulate_lmsr_buy(initial_q1, initial_q2, b, buy_shares, 'q1')

# Now simulate how many shares of Thunder (q2) are needed to bring the price back to 0.50
# We'll iterate to find that point
def find_thunder_shares_to_balance(q1, initial_q2, b, target_price=0.5):
    for shares in range(1000, 100000, 100):
        q2 = initial_q2 + shares
        price = lmsr_price(q1, q2, b)
        if abs(price - target_price) < 0.001:
            cost = lmsr_cost(q1, q2, b) - lmsr_cost(q1, initial_q2, b)
            return shares, cost, price
    return None, None, None

thunder_shares, cost_thunder, final_price_thunder = find_thunder_shares_to_balance(buy_shares, 0, b)

(cost_pacers, final_price_pacers), (thunder_shares, cost_thunder, final_price_thunder)

Result
((43135.68167929173, 0.9933071490757152), (50000, 6864.318320708269, 0.5))

I just mean to ask if it works, I won't be using it real time, I was thinking of incorporating something of this sort in one of my projects

The real arbitrage opportunity is there in the Fifa Club World Cup.
Botafago defeated PSG and noone's bought them yet... Obviously except me. ;) https://beta.predyx.com/market/fifa-club-world-cup-winner-1749816663

Dang, no link?