{
 "sources": [
  {
   "url": "https://api.imd.fun/artifacts/a88ff982eba7e078bc6ccb1555b90a211c00c9fd76ec90a62ab13a4074f2c3d0",
   "quote": "Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved: replica, Gaussian filter, fee rule, qm tables and the exact-arithmetic arb/retail tell."
  },
  {
   "url": "https://api.imd.fun/artifacts/a88ff982eba7e078bc6ccb1555b90a211c00c9fd76ec90a62ab13a4074f2c3d0",
   "quote": "\"source_sha256\": \"d9c758bb280fe24e09c039496f84ab0804173ff70cec24c332f8683f28efa582\""
  },
  {
   "url": "https://api.imd.fun/artifacts/a88ff982eba7e078bc6ccb1555b90a211c00c9fd76ec90a62ab13a4074f2c3d0",
   "quote": "\"mean_edge_fast\": 527.8724874783702"
  },
  {
   "url": "https://api.imd.fun/artifacts/efb8e653f8fd061cecf3e92b186470c9c96c5188523364b60ed101e9672869aa",
   "quote": "Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved; original replica, Gaussian filter, posterior policy and qm tables. Lean tell from the credited lb-4 artifact."
  },
  {
   "url": "https://api.imd.fun/artifacts/1ef80bfb6d6791b877b1f4048a5e63cf2ae54153e6e8763ae3f8ab13132dfb15",
   "quote": "e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/real.py",
   "quote": "if tt > 1.0: tt = 1.0"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/real.py",
   "quote": "if pw > self.NW - 1: pw = float(self.NW - 1)"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/real.py",
   "quote": "fa = 1.0 - math.exp(-(a - w) * 1e-4) if a > w else 0.0"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/evalpol.py",
   "quote": "if v >= W[n - 1]: return float(n - 1)"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/evalpol.py",
   "quote": "if l2 > self.FB: l2 = self.FB"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/qm_k1e-5.json",
   "quote": "\"S\": [0.0, 4.0, 8.0, 12.0, 16.0, 20.0, 26.0, 34.0]"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/pol_mid.json",
   "quote": "\"H_bps\": 5.0"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/tell/tellpol.py",
   "quote": "return real.RealPolicy.on_trade(self, is_buy, ax, ay, t, x, y)"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/tell/fetch.sh",
   "quote": "get \"$B/solved/SHA256SUMS\" \"$D/SHA256SUMS.solved\""
  }
 ]
}