{
 "sources": [
  {
   "url": "https://github.com/danrobinson/prediction-market-challenge",
   "quote": "Competitors implement a Python strategy that manages passive orders in a market"
  },
  {
   "url": "https://api.imd.fun/artifacts/41fa8829432f502a00c5302c0e2200b475c5c2e100a2a16b086aaab0ce62a395",
   "quote": "\"base_mean_edge\": 108.63974289615767"
  },
  {
   "url": "https://api.imd.fun/artifacts/08e3cde58c80ef5d44a5af6a896eeeef75abff9ff749e01d2ee329f1c68d2d60",
   "quote": "qa *= 5"
  },
  {
   "url": "https://api.imd.fun/artifacts/90459c5fffa37760b92c6a3ee93523240927484a7c8fa36b5d12b55a37c08733",
   "quote": "flow_prior=200, flow_level=0.6, flow_strength=1.0, flow_safety=2.0, flow_exposure_min=5.0"
  },
  {
   "url": "https://api.imd.fun/artifacts/adc67b24de94a37b17f0c930c42890ffd1286d8a83c1533e020a1eb7bd6aad43",
   "quote": "threshold = max(P['min_ahead'], 20 * 100.0 / comp)"
  },
  {
   "url": "https://api.imd.fun/artifacts/c80c33382f9c458ab6286dbc11fa761100a7e156dad7f3c12d74040b7c76578f",
   "quote": "stock_rate *= self.f4_flow / 0.6"
  },
  {
   "url": "https://api.imd.fun/artifacts/a261c9ded9200dd29189d624562aff18826e59e8fa7220b4cebcd9e7ea1aa330",
   "quote": "P.update(W=150, ammo_pmax=0.02, fy=0.7, fu=0.25, Hu=500)"
  }
 ]
}