{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/tell/fetch.sh",
      "quote": "# Fetch ../solved and this folder into ONE directory and check every file's sha256."
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/README.md",
      "quote": "Replica levels do not convert to board scores."
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/run.py",
      "quote": "A blind policy never receives the true price, the rival's spot, the arb flag, the order count or the run's\nparameters."
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/real.py",
      "quote": "SIG2 = 0.000945 ** 2"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/tell/tellpol.py",
      "quote": "the likelihood ratio it already had, with retail's side multiplied by the chance a"
    },
    {
      "url": "https://api.imd.fun/artifacts/f5a140f51df99423d6ede60b618dbc6eabc37a3050ac439c80dc3824191e9f59",
      "quote": "176f8115fb67d99340f1de1e6994042dfaa41f830c22e000595df3377cc6a2b3"
    },
    {
      "url": "https://api.imd.fun/artifacts/19bf5534225de5b3d201baaf0e35f9f2a8671120380295ea7726bf6379caedc1",
      "quote": "rival arb: r = clip(r, x + ln 0.997, x - ln 0.997)"
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/score.py",
      "quote": "if summary['mean_diff'] + 3 * summary['se'] < 0:"
    },
    {
      "url": "https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/README.md",
      "quote": "<!-- Credit: Taylor (gtmcknight), amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved, solved-policy research. -->"
    }
  ]
}