{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/README.md",
      "quote": "The Gaussian filter has O(1) state and needs ln, exp and a normal CDF."
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/real.py",
      "quote": "is_arb = pi > 0.5"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/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"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/pair.py",
      "quote": "m, se = stats([x[0] for x in d])"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/evalpol.py",
      "quote": "return m, sd / n ** 0.5"
    },
    {
      "url": "https://api.imd.fun/artifacts/80b9f00d0d387deabd812da152d935cf049fa6654ae5e1cf43a30e16e7dd6830",
      "quote": "the pi-weighted average of the two log bid/ask prices"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/e65314f88de945f6d055bfc2aab01c482ab6570e/research/solved/ref/gauss_qm.json",
      "quote": "{\"policy\": \"gauss\", \"opt\": {\"soft\": 1.0, \"qm\": \"qm_k1e-5.json\"}, \"rows\": [{\"seed\": 10000, \"edge\": 443.52260834349187, \"retail\": 464.4552767381841, \"arb\": -20.93266839469117, \"rv\": 64236.039424094895, "
    }
  ]
}