{
  "task": "pub-chenghua",
  "method": {
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    "engine": "amm_sim_rs.run_batch",
    "baseline": "VanillaStrategy 30 bps",
    "n_steps": 10000,
    "workers": 8,
    "chunk_size": 100,
    "seed_generation": "MatchRunner._build_configs order: numpy default_rng(seed) draws retail mean size, retail arrival rate, then gbm sigma; Rust price seed=seed and retail seed=seed+1.",
    "statistics": "Sample standard deviation divided by sqrt(n); paired differences are per-seed edge(a)-edge(b)."
  },
  "files": [
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      "name": "YQ",
      "url": "https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol",
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      "validate_ok": true
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      "url": "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol",
      "commit": "d34a5199c59a4c44d5336a25f1436b4ae1f21104",
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    {
      "name": "ChengHua_params_cubic_2",
      "url": null,
      "commit": null,
      "sha256": "d957a8ed81b199a61113fdef4578b686de62678831ec0d067b4d2f08952e6d43",
      "validate_ok": true,
      "derived_from": [
        "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol",
        "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/scratch/results/best_params_baseline.json"
      ],
      "derivation": "Starting from pinned ChengHua Strategy.sol, insert uint256 constant TOX_CUBIC_COEF = 20000 * BPS; after TOX_QUAD_COEF; after the SIGMA_TOX_COEF addition, add fMid = fMid + wmul(TOX_CUBIC_COEF, wmul(toxSignal, wmul(toxSignal, toxSignal))); and rename getName return to params_cubic_2."
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    "note": "Exact point estimate differs by 0.269695, below the Rust 1000-seed SE of 2.789916. ChengHua recorded the expectation using a Python oracle with a different RNG."
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  "blocked": null,
  "citations": [
    "https://raw.githubusercontent.com/jiayaoqijia/amm-challenge-yq/3e9dc7d5a6192c88b562a0f8d9c172ca566ec94d/contracts/src/Strategy.sol",
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    "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/scratch/results/best_params_baseline.json",
    "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/match.py",
    "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
    "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/simulation/engine.rs",
    "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/scratch/random_search.py",
    "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/scratch/py_oracle_sim.py",
    "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/scratch/category_xyz_python.py"
  ]
}