{
 "sources": [
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/solved/real.py",
   "quote": "new step: variance grows by sigma^2 a step; steps with no trade of ours truncate the belief to our no-arb interval"
  },
  {
   "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/4812a6382311624e1506aca131ca35c378f930d9/research/solved/real.py",
   "quote": "new step: variance grows by sigma^2 a step; steps with no trade of ours truncate the belief to our no-arb interval"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/replica2.py",
   "quote": "drift = -0.5 * sigma * sigma"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/replica2.py",
   "quote": "p *= math.exp(drift + sigma * pr.gauss(0.0, 1.0))"
  },
  {
   "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/66604b3426d8e97a73e2c39940b9b4dece51cc73/research/tell/tellpol.py",
   "quote": "RealPolicy's own posterior, pi = l_arb / (l_arb + l_ret), with l_ret cut by the chance."
  },
  {
   "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/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_sim_rs/src/market/price_process.rs",
   "quote": "drift_term: (mu - 0.5 * sigma * sigma) * dt,"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
   "quote": "gbm_mu=0.0,"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/competition/config.py",
   "quote": "gbm_dt=1.0,"
  },
  {
   "url": "https://raw.githubusercontent.com/benedictbrady/amm-challenge/6b6921f8d463314aa7c96234e1be25a25245f704/amm_competition/evm/compiler.py",
   "quote": "SOLC_VERSION = \"0.8.24\""
  },
  {
   "url": "https://api.imd.fun/artifacts/a88ff982eba7e078bc6ccb1555b90a211c00c9fd76ec90a62ab13a4074f2c3d0",
   "quote": "copy-b (e04-fastlean): fast exact port of LEANBASE with a fee-correction hook"
  },
  {
   "url": "https://api.imd.fun/artifacts/efb8e653f8fd061cecf3e92b186470c9c96c5188523364b60ed101e9672869aa",
   "quote": "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": "QLX3 - LEAN = +0.0353 se 0.0072 and QLX5 - LEAN = +0.0352 se 0.0071 on 512 fresh seeds"
  }
 ]
}