{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol",
      "quote": "uint256 constant SIGMA_DECAY = 824000000000000000; // 0.824"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
      "quote": "    retail_mean_size_min=19.0,\n    retail_mean_size_max=21.0,"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py",
      "quote": "            rng = np.random.default_rng(seed=i)"
    },
    {
      "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/evm/strategy.rs",
      "quote": "const GAS_LIMIT_INIT: u64 = 250_000;\nconst GAS_LIMIT_TRADE: u64 = 250_000;"
    },
    {
      "url": "https://raw.githubusercontent.com/dipankar/amm-challenge/main/ANALYSIS.md",
      "quote": "The key insight: **fair price is hidden but estimable.**"
    },
    {
      "url": "https://www.linkedin.com/pulse/amm-fee-challenge-notes-from-our-run-optimization-arena-qe3ff",
      "quote": "Our strategy combined two layers of adaptation."
    }
  ]
}
