{
 "key": "d7-s1-both-shift-pause",
 "idea": "Spread 1 only: after both rival quotes move the same direction in one step, cancel the threatened side (asks on an upward shift, bids on a downward one) for N callbacks, N tuned in 1..3.",
 "spread": 1,
 "base_sha256": "5d1bd5272884f513b19f0e66a7c235f6c188a08e4f7787ac9346f1614dda3ed3",
 "base_artifact": "149883fee797ad95a91e535b7a74453587a3eb19ca87ab95f7d8585db160a8f4",
 "approach": "Wrapper over the base (self.s guard, spread 1 only). It tracks the rival's best bid and ask itself; when both rise in one step it pauses asks, when both fall it pauses bids, for N callbacks. During a pause it drops the base's non-probe PlaceOrders on that side, cancels that side's live non-probe orders, and scrubs the cancelled ids from the base's ahead/res/fl_ahead/fl_obs so the flow tracker does not read a cancel as a fill. Tuned N in {1,2,3} on seeds 350000..350149, froze N=2, measured on 460200..460699.",
 "tried": [
  {
   "setting": "pause=1 callbacks",
   "pause": 1,
   "tuning": {
    "n": 150,
    "mean_diff": -1.7027961058166667,
    "se": 1.4230710725737394
   },
   "tuning_spread1": {
    "n": 41,
    "mean_diff": -6.229741850548781,
    "se": 5.185898692988922,
    "retail_diff": -9.57245959169756,
    "arb_diff": 3.3427177411853655
   }
  },
  {
   "setting": "pause=2 callbacks",
   "pause": 2,
   "tuning": {
    "n": 150,
    "mean_diff": -1.6798977302273335,
    "se": 1.444420819570054
   },
   "tuning_spread1": {
    "n": 41,
    "mean_diff": -6.145967305709757,
    "se": 5.267512897939483,
    "retail_diff": -9.827237751917075,
    "arb_diff": 3.6812704462902435
   }
  },
  {
   "setting": "pause=3 callbacks",
   "pause": 3,
   "tuning": {
    "n": 150,
    "mean_diff": -1.851393485208,
    "se": 1.4690305594317288
   },
   "tuning_spread1": {
    "n": 41,
    "mean_diff": -6.773390799541464,
    "se": 5.345704451186281,
    "retail_diff": -10.939800476631708,
    "arb_diff": 4.166409677217073
   }
  }
 ],
 "chosen": "pause=2 callbacks",
 "next": "Gate the trigger on the rival's ask being at least 3 ticks above the floor (and bid below 97) so the floor-flicker regime that produced the -184 seed is excluded, then re-measure on fresh seeds.",
 "code": "H4sIAD2P7moC/8V9bXPbOJLwd/0K7qTuTMqULMovsb2Wq5K9mcvUpW4yk93ayrlcKoqiZMYUKZOULWee/PenXwAQJEFKTnJ7qUoikkCj0Wh0NxqNxk8//fS3LM3zKFkOgvQxzKyZn4fWU1TcWVGexn4Rzl1rkxSbJJxb6zAb5Oss9OcWls2ieZhbeeEH9+H80gr94M7ygyK30iR+tqLEyjYJPCysCN89JVaQrtZhERVpZjGY4U8//dSLVus0K6yVX9z1Flm6stJsHmazNL2frlfT4M6P4zBZhsO8yACdJUDmCm8B04/iXWfF4nkNeIpaf/OTIIx/w5Ku9SH2g1D8/gi96fU+WBNrHgWFHfuraTYZDcenrrWanA5HrpVHy2ky8YZj18Kvn+HraORd8Ad8Oj6l3/h+7PYs+edh5W8nx6PRCIFkqyiZAIT7N1DsNfz/Hv73oOIaf4xOtXr+apVCc1DpeR6u4OuJa/1zMmY4i2d4ceZSoenD5Ixe0sMamyNQ/AyPa/+5jtRiBm8A98WG8dji/x7gX0TB/TM3C6hO/TsYp8kYH+/DcD29i+DbqXiIU678boP9wzKzKMkn54RgFBcMZpNE2DoA/7xZraNkIXo1R1JQrfv3iM3oHH8txC8syOWAVbjYO2/iUTNlN57nC6bDPxdIGSq2RCSZqEtGEX8+LCYn/B0JtBAUAtjTpb+mhipQPQa79Hjs5bMvUbCSmcdYLXOBpif6u/L4/y9z8WERE6uMTp3ex9/HwGHI68P8IStsICy9/PBr/bXV5+d15PTm4cIK5gt761xaWVhsssQaDU+hhA0NWIdcMMyggHVkATSHq6yrVbjUdm0PuPIW/zpc48OvVCNKHu21c0mUWCNGUWIDtey1a3nh4MKB/6wB/6QyRQXrgYZ2nC5trL3mKmvH4RpbqFHAC+jiqXd66r0G9EfD89H4/PQY6hb0OPJGx+NzeoS/iKLtwQdveHI8fn1+rsp55xfjswtZjquOvOORqNq3jstGB1srApJYV0S6MAYxt6WPCxBHUxJXPkgLeyy6j3/mUI+JqF4BjDnAABJ447Ig/pmBRLtXb7bWYGLZPGjUf+jEnL6K0dgSweP1yr4XLYoP2OC9A525h14E9EBFF7H9UC1JhF7EaZrZD1AWGBOJhIMDjcFTr/ffv/3Hzx+hEzc4NiB1hqMzGEN74A2P4cF7TQ/E2MMxPei/9UKq9m3vwx+/vf0ZYOIw9Xq/TN+8gwcPfvzyXvz4/S396L2ycm8A+D1dguhP5lERpYkfW3F0H8bRXZrOUTms/ayI4C3Iizi3/GRufQlBJQ2tXzYxqJFwe+dvclBD1sMmLcIcgAZ+Ys1CKwQlBQoLaOFHMch+y89mEeiDZfhXKxEfo9wqYFiwug/ACTQVRTCgjeKwCEsIoAeG1t9BawU+omolabby4+gLPwVploWo3gCylYcx/IbXw94v73/75/Rvbz4gnYF+o2MPdQb8OOP/xSP/C/94Q9caw98T+HsOf70z+OcY35zhK2+ML8enZ0OHQf/nH7/+Bw7hLT9++OPX3/74OIFHYtwscafZE7KvbQ/KqQjj6LinR96548Jv9+QI5q5t+iw4inSdNz47PQTETy5O+wC4nB0raGQlGwG1MTrzXl+cn5xeHJ+fnZ24UNM7Pzk7PjkZn47PRxen0BbKmGN4eXHswWw+PTs/hmLjY3g8OT4+HZ9cwBvGDV6fn+h/6PV+lXdjos3m6WpyMjw5Pz/0hucn533oVfkJuTBHoir9iP1OqMueO3aPnepknz5OlJjzDm0lWkFEnTgDzzmaJk61Qr6clPSfPta+rjYlvGkCuDmD6ePRuFroaTLN+v1pcsQTH2ytNIOpYzfaot4M/fU6TOa2DcBdaN6dPjlluSkyd6PDAXZYMXSty+ssnU3yzcp+6pNgs0uMA2ew2jhH+dIZVL/gfFDfHGoEsAFkiJsY0RryiJjEXcLx1jY1r3cAJ23+sh4AbhPvkLvQ2oO9kKTG61iSqkTNMBq53qBUt9PM6WPbjoa+mtrlMGUwyVxuzSUquNxMvRZLgEbjIAaAb3CMe70g9vPcktaxrZvKgpFRo0ynURIV06kN0myhMTg+DhMU8dVXZAvC6zwsbIdevwIdBCQi0ZlbazSn52BCZmBBg+zm8iDj/eRZN/6puOUXKEmjzEKLs9pQBvb6xPrza0nwV6JSNLcG12BR0mKFlIKfANBnhEbNr8KkqAKbBQDrv9Mk1IDNQAGFi0sr38wG2Ly1hMWMFUBdbNrGV9qIM5indjBPYbS8K/JqhbwgJXmqdwKGpYDlUTgAjba28jnyFzVWrboOZkRm+umLdmtFZnIgau998/ti1hzPvN4j61VzjYYK2l+BnsyqlVGvA5cKnU7mgKEA8H+ab7Kw2TiSYurn91Oiv6mLVIK0PoMJkfd+8cFyM5Sj1lpopRdYm1DVCrCSR30PJky9HJECqfZhGKTr5zqN8/F01TIs+Mlv/RSr4cYHLDe4uKhTc5rOsOl6dfiQA9Y0Y3TxYEIQyuICDa2J0W0fVse2kpTNkigumIPPzl8fnzS/00e0GRqfVvCJVG2z+c3zFOSv7C4iH8axeGVgIaoAo1+vwK9MFcSXxvt5lBXPEwP7wDde5BrGBpvzFyEs+5sAc1rrGghZytc0mpNsda3CXzYF7CFayfKdsOmhIBjxIEJtLqSBS5Mpig0BMS9gfDSY72gpBvpHfBpi2XyahSiho2RZ9oyFC5UpZ/t0FsIcmEVzmo85Gslll2lemWvIGUw1cM2hLZSEkAEjHOdkVRcrASRwtqGNAaIGKxhYvhxZ46rGLcFNgLeqsFhy/QNWdGiah9soL6DDFsznwRpUEVj4UX5vgbb0Y9AUMLWhm2DGp+lfccELQj/Nng0A2SEmdJsfozB8tsAKeYzmoVgEoECAWZIXaXCPTa7C4M5Ponw1bMDTBMjNwf372cGtEvHq5cL08uDWgNvfwiRPUQHieKSbZD74kEZ5Dn1DMaYtsVxrg9499smlm4zXWS3oLU50gX0zghXLbXtJpFy+u5xQjljwBibsLaxUL1xL/WyvuAp9llXj4dkJ8EWEDo+z4fHxGXAKvsNl7jmZa1G5fr9wTPT6kOaw/HwMLX+5zMIlDhoRCngT7Kgs3UZgR4VAIrCkeNn3VwuXQppwK4H5QQAkhy5h08gIaRD4OSvCPMSlLqxFs+gRHgEtHzT8KsTZ2E711Qb7WdqR6DIYDV+P2aVxdso2KUKrEKeddmRoAEiceC5Nv/ayStBXZLlpNBpivV6IaDqpQu5XQHQwHtheK0QEnVDCzXTWIQTGl11zbLhZz6F1m5y5pNpBFKQZOgldGvppDAwcs1ePnkHmhsmyuGOnHb8C2Q9KY6xeyNkxRdfl6XDkOPvg8CdN7Uuk8NnXjh55l/tBQ8cpgTt2rYP1IobfQKtRJ+zjPWGXpAKoRKyDklrU6Jl8JQmGzQ9VQaYZVi7f6WSDL0A4DdUPVZFXKklPGUVEHPWBHE7wFX1F6H7SVkf6h1/eqw/kkFIffn/b20er4JTLQdSTKzvGfZAZClr2goyUlkVrhAtM5WLEBYVJDjRZCI2YZpmZ4zQHRUxcfR7fIBbN6Qu4U2GjelWaO4XWkk3Y+Ig628XPj4jt2rXSeD6lDroWascJATc1aiM6SK8R0ZOJcl3WZw0OxFMFPa3glVYQprjzQrRfWX/PfFgvkDpD0UvrT1okuKD5g3gzR22HvoKQvYmkm4UWbwpgZR4hzTcrOx2qN2qoiBNSEr40mulTMhVWAZAjHdLvaUScAaRrigRQBJtQmDq0ZYDLkIHWdp8GwtmplJkTqnajNjLczjV5Zs10reruLnA0CtLImGi4XhF4cwXQXY9yR0D6Qwgp8od6BmmJf0oDoWYytDC+nJyRa602J0j1MNmsQlQ2dqlQWzgL/3w5wXUUITtAEOQuH45by0t0IqJVw9szRp/uCK3X+cL+cuI4Dg6GIh5tNYgtF2gZ/2mIaWWwW/9mjU9pcjXR10wzZNU6czSJqyy0SnF62VKYnGz+LIqR7YFGAsKhdT6irR2bO6rvJKHRgF0+gtISQS7v7LI4xHx4/Zq2GuGn9xqUy6BO4DNJ3waKjmNgKc3e9AGTGfGKD9IbOeVLtLb7NTYzGIzr0L8XCMpCXe0oejzhVg/UZSciuQ9FsdtdhhWO0QpI/MS2nsu1Ed+KyedKgERycmW2IfgNRpm2aAMtB4x97LAQbfHH4DdYuF1NDJ6Yw7o9Y/AKNUSPwbV0yNuQTU9OlwqWHax6mWhXDBiz8rXm9+mVwsy17iIgXDBDiV1xMxu1wWV9WqdD0oCgoDG4YPj2H58M+j4VfIbNpUNar05r/keaniBFmrUJP6TOXdRaGxD5cHOA2+mwuryuC5YcnQF/Vqru0nf1ThEXGBUn8AXvFvK25Ndqy/73tfzx5/fvv7Hp0C9tTpixuV/9WjpfZ/h11hDXPrUb+juGU+6eh2gN3kVOwzyHlhCQDYOAcx6KhzOHUIcB84qDW2fHkCN0Uc2Ftp36qMuACx75ciqjgxnoCHPMYDui8vKhvPI/H5pWJpWekvPGa/QPWrkqGxyYwFS6I9w/vfJjgZY7/PcGh+SOzPi7Nw03cNe6kI3ZPzUzrZXJqkwiGp+laWyX7l2Wh0g47aX1703DTyBdre6bqvum6tAlRKBl1aZ8xspwMFR+01HZb68s+q3ZJAO90auaxJaDYyzuN4rLoerkQEKVRrvBQYZy2HyDYRsbKq6+n1IT6biUSgHAXVTFQ6kAZM447ZWrELVxxFtAFA9nrad2MYAlDUYVod+B4+jUdk+SRjlYwgUHGIRWkVo33EJpHDxFczGtoN0BIVB1gyQz8X3M8uXkHNZrSWFnuKKysXofJz76pkF86PZRQKYK9PPQsiNyLJ2iIsQqRwi25kdLZppdJEdtFsjlJgosaAejvEC4XDUM1idqDe02BI6evqSUo01lli9Ft8TWGS4YzjTsqpMDbTOyqMHozHH5lC8dQ+tVm2uT4EgCzvDj4JYqvcjDzBsL0tQzrb/UduMEiY0THfsPtMFewH9nQxbBOIYT65y7Z16mvLJ+S2B9G1F8JRlC2TNtUgIbr/0AF2LwLdz6tNHqHZ3Tgn7YAutnUIvoi5yHW2seAcQkCCmOJQth1EPrzn8MrVlUDECvgvoMoPC8P++3wvsj3OQhEYRWd7n1dBfFIpCGFonkFM2iZUQu0Y0IzTSDuw+zJIyb46X4doQTNr8Zta8Eg0i5RmdB+7oPp1ZAC7WovQzG5+Ekwr/3rcUYabkHj6b/fEzLPqh/bcGaUMaYGddBlW7zj5vL0eXAu8WwL3puX/VWpmh7Z9GLBJze+h24IMMyCYlV+NtelNYyIAHDyopk9uRK3AnWJUM8xOnegZc0fbpLcA8OcerAOITtS3MVhFEYlrRGm5nWd1n4GKUblBLFZh2HdtmrwJX7/S3uCmI4pESQfzv1mWtd7B5Akuh004TYt5t7X8DBMphR8euLBoQZ/uXDYh6SnSTtImeVlMaB3CESfohEeAEtSzoqx0EbMVsJWaSFcBo85Sbd9wS6EcuUfgjNBVEnEAlYoGDpfEevwFS2ECi3RKC5JbiGNkke/WxaSDUuqnVXRVcSN9QXP9yqwFzf+YUWhiwKi2U8lR2NHfz/4uK8gghr+jxaoqbvW7iRBs8Utk+6nz/yA3wuKTOvRDS/g6IAzRRLI3+Brcn2Nmp4Twj9huEEBeUCDJr+MjctxSmeKH0i5UmefTIwSUuzqcxu7Uvee8aYD4rCB+3rx7T77D/5zxadhIiqnnuNjPiT1424xlzEB7cu+S1x0418tDAmEsM+Engs2ZQIIjpDvqe5bl1+ERt3CL98+z/w9guaWvOSgmsRVP2FgajBOLg1xE9B6T6Ptk7SX95XKafW/xNtnXf5Ml/+VzVWItSGRvLPr409ofXWJXkz2zwDZFcJb5fHS+3REpSmIHgonidyIwBnycNAYTlchoWdgo1HPirCFB4edA1h0EnbCYDsr7eND4G/nqiwlJsgatpPePIBkT4iCg+ITYAK3DMmAL4blGWayy9/EU4AzrXo0+jUHQ9H/ZJjSCo4XNsxWc2jq+0Vhom+cCcIam6vJ9BHcz1y0yw6rIxKGA9S53Di7SwMonqfYhxr9PdsE764T+1IVwOSTGi02zt69FdbX3f0cY++KdbZgQSHdH1bD2T0l6k2scTIXD/elgHWW6djT8nO3JXLQbgUg8shuNVdJhW822VZhEkOAkcETKPAs+OtjDGGv/UwY0OUsbH/FOt3g0NY2ScRzbkcftx0NVa2mPCkiNrAtSsji+v6suxkMjJ0kQPf7MhNHEG0xLQLx+xGq6LEsP2xN5S8Cwz0H6AQVQZI6qS/vDm+xa06DSYBGCwxVq82i2SVk3oV0SgFASBwd1ndjpEj4Za80ERutZ2wh3TZvn80KXePHgerLTf5iI1htSZMGOjJHts+5oBHU4yn4FCizvLGYyo8lf0VDWkddY4AiXaYGsDvhbVSsPbHq7QiKqYcWRLwz6GwU8GIDE94d0AzHfO5V6lFW5B09hBXybx1VDEIP6/peBWdJvgfXPxWjEs2cTwwUZ94YBNhBdPBrHJw489ssAoDtewDxn2+eYun+BoOMHuLm41obmEjlc/k3QVE+HRZ9ZQafEJnfVn7RU6wzwj686wWe1sxj0QPP7cr5i3Yvut2yQlt4PoIt5sJSbNQbFcVBGOmYKBDervPKpT6RvxGJq+I1WAUal1rokQ0aVTmtjsri7hfiniLPyN/of8aGKIPCLn6+5l6P+vp1vA7Q+xYC9/UG2T26Vtg0pLx1+fXGrmyu7RkzUwsCsooQQpcVIoIiq2Q6QfieKqYCEl9lXX/hmFicCudysS2r2jXC9+Q4Ymf39SnwkMefQlBnuZgbS/BaHbJGscdXBZ0FFozQf+0U/fk5zAhJtBynd0RjMF/rVGqzulZxif9vDGeljvtK42QUTjEKcd/0K47BZy95w4BJStgViuddKfDURXYakDxhejm7pd07PfHRuCrTdU7gAcaJ9zrI8sGjPvU0cZkp4LXdNRh7/5XZQShQWBw/RsOzlrh4PITeoLH4XHVqdQe8NBhhVXqMaEo4NZb47RBmDaGU9Gm5VrfUlJsxA06eoureosy5hRnLnZGbLs4sunSI1Gg7BWTRY93J/acReioaWynIkoe0qfAfy4uvofUZdOArpg1FBB6uzdUCoaZoHxQvpQGY/yAZngLOpl59d3nvAwKLMqfSNmrlzJiVXI0az4XSxY1mEKBRho55p2Lr/7J+hmHnPevXcKBwhfrTodSs4IQsT/ICH5lWD+H+VSdJQCEsF0lxjCuH1v60BLOvytQl51DHzezPJqD/JMHEzAEkjdeVugL4kBHnABhOA95m7sM2+NDzsPWzaaAjzQ83aUA7y7Noi9pgsDEQTs8RhCKbZ15RLtRwOt8sIINMTNoEXtkm+J6aP+wDDcWbjkt2piIZtdLHRoCiZxWH4BhdEDcEVp90Jzdw99uXxAfCBUlR3ZRG1rBtayzcM6x3409cJh+wnFq2s3P7/+3xUchtL6Y2/9b4uMHNLPLFBVxTe95+5kFAZqlFy3e9xkOmTc8aYZCs7KcoXv/jeCIWrCcT/rg2OzAovi3ES6cO7VpR1f3UZLSUNDj9rRjIt4QHbV2/TSFVPFCN7NMksoOv4jQzXIknXYeBgYGQmj+dzK80BXEdpftnY5gsKHNN+9K6T4u1RbHDjMSZKRpE2DGgTo36Y8LP7uuhICVkxOm2Tc01R1v1tYW59MR2xH0m7VhZeIX6drmdl060IWRjeG6JgiKuyzMQTzPGZhKzlOTOlVlIkLgwzU+DVjRkijBZvB/w2TRGxIbBVpjrjUeSfkInIBw6osrQOH3t5WWve5WJOkopUgDVueRn1fymPL4EibiIkuTQhwVL5DjOFJFaCyR6GO2Ab2ZbqBl1GkbZTQ+pVlxZyFKMoSBgl3FQXWLDnQd5NXj6vvS7ESQi7QNjXA9Gr7W1ZOSflfCdiqn0I5BOzWJUuZDArrznIM+B/TwzIngG54F+rmHMj+AgwJQYdMq7RFOr+U9HYDVotLoVCpu1cM0QTHhUvyWFidIAb6iAE5uFEcusHtZ4gE1FpnnBEz7gIt+UrwERPMEjReV80csxgQqFJiGzw/lvh68EYIRBgnHqrfLiuex1OBeN1j8gbSWvuKunhijyqL7Ekd+vMKYuJrkrcEmI+a0FMGfVBxfxWDSm1ZNccvvUO7dHLxDE1/sbcJsNG1uCjojjE/YTyjpy4WBDJTRZ3Uc8qwrzxvD1BtzzB0gYYVZirI5AUbhHBM09Skuije9YUbfwaMWs+evVpuEkhBd0iy3Pv380cpTFhS0oEa94GehNHq1RR/nKDAs+/xVUTlu/uDXT7Ivck+ddThxUb97wwvXq6/30dI4koftgXXZiyDX9151AxSpt1rpYb08MNc1dStEkcoLh6IIxwgzoDWii59CPwYBqE56+/kdzMRP0OEKN9Oeo+gRteoK+vDJbcPCCWyDJ1Zai2cy80VLR1V7GPOj1dcO0zzw41A7vUCW+xFFB9amFdEJiF1zhGTLUO59awD73WvCLRk0Ty87T/nKeguaJUs3wIaVRZo8JhxssgymlNBSQDtg6XmYR3hKCA2socE01dDnBxdY7KVH4z/4IPlngJC18KNMnBMzoiZUJCm+A7H6+0a0Fps4biX8ok73RZXwtbU986sSFL16bJBIIoDwLi44IJYM5iCMYltxJ2ZGq58YWop8dOuGWi/J+hdpSH0CdKhb+LAUgfqYblCIP5bivFDjGdkcDRAYrpAShavM/QXOTAI9sD7J3Do+RxSsrTs/tz5v8sIKMFknJttMQj/D4cvCsGlF2CXeY1qWkMB2VBfE8GlyoiojWvoiTHqp5Ab1ypxo0rTC23XKmWSsn+fRY8h63BjpLV0+quC1GnhW6h3L9ZLoqroiPqfQxAEQhMEheMHWtHFEdwOloapwlCa/+cBbyWJxaqKr3jJ7MNr46RXMbOAfYqJNgubx+lKcaxapIRKWAyIbrIt8M5Mmc69+mEjqeHkAzLjMMxkIn8SEJgDyKAT2oOw0T1dZDLNz1ruuddszEFzBr5D8wavpZe4KpvrU+oJ2Oz5f6WgsPXI7eSJ8G1X+Xxp8TO43ebIRdX6/BP8ica0B6pv0XgswdWDPEF75f+WEk8qbjZ9THiuVTYH9ZpWmnB3U4HSnspZKQHBLrg9qjHdpq6anp5+91gEaFJCUneqoIDGRZkW+zaL5koLfwwDzSgqNCaYE8sYGbFCczCmlnyQWklOKco08Qll/FmuqHiOgMMruqpw7Nc4KiuqRj4qG4/SfxKwN3fYCg26Z+kpZE+8++GiTHYvNTIbEwZm4I2LaN8apTWBIJuynAQMhMGV2ZKpfmbadR7vazkg9tG1QN63zVvHQeY6KVjN6aZmfDpjAX1aT0Pl0rLR2IAUVtxoYfJjS6GBemxIo5VjGxU61rSR8ms6q4PCVX31FOYMp2bWd1mRCAhI/xUMeDfNB4CpjjrVk2Xa53q9xGa4Fqm4C0xpgz+OwRJfDCeUmNvko9gkmFyDETraY5TKvIMdYqr4wS7vGtpzmyWTycAznEciabK6TpFkU21qjX09ri3ye33SQePcJ10tD/KcYfY2h1sWU/azVZGfILMy6yg+Jc5S9kfXYEwBiniudjjr0ugn3EblPmidBQ3Je1SJuK4QykaeVDY2laLd/Qhs9wBwiYlFkgybb475lh4yNJm9ESSLzmqsRWJqowrtnFEUGZcC+CzH5NizthF+CvY5LzEOFbsdCpMzEk4DKw9geNDNBK4+cTspcsanZw1YGQdn9wCpdZG9HA4nimDBBy3Yvj165OwsKeCSMICLkNbGB02F4M36T3XO5XgnZdOjP2yfZXgG1ch2Vr/w4FkPGiOCwwbx7zq1ZeBeh8Q0DAGIUXUoopWgFfImDloNGV+mpZUZTNVxoOPtWjDZ+JZF05zAqkm/RkCx2U19S2+vakyToaE9DWZxM3YdQsMTN9pbyt6HqJefo1qlMCfKLbp3bVkBoXAhAXWjdYShgN5fe3XiSM7HD+Nh0IjaaJ7gv5K5v4rCdXNYUtjXHNjZZjcTzk/vQIPEoNxIuT/nHAy8rH3ovkoj+HYlDM0uZ1udixw7qtW9x1fedRFFd9SM7t8b92e07ajqMa0z5j+Kpda9PL31ldS38wyTdLO/oHD4TU0nOzqFu41QJxbwRGZpCbXeC7dc7xGa4aMrVIpgwBpCZw+mabdzny3/xBFCmSm3DSGDcjU7g46Fmyjkk+t0+op1xnzVgJMCqeVHadnZZ4KEQ7MjC0jBqmnO1UttVyHTRTCEsmbNLUMrCLCz/laNcbusqKbHf/GR/Iok7YX5XSESLynbtoNsuuDBtDlFLvAc1eFMpiurumxDpfTd5W8l6TxkmyLBCGakEscMsaR+LD/UtxDZhqgbHsHPrlEFpkqTGkJZG5W81PO8xc4bXdgaeZCImCvR0zE1qwjFx1sQaOzsPLevtfAP7SsK1MNmL7du9eaZdzplNDZOZgWuy8YJ9q7VFnMlDoqwK3GS/3IsveJegy35todvs/55q9eASERxT3+ZvZD96WMhYgmBG6sRr7tGyI6IWZEQhTsagitnuJUAjvIBiv3g2AkbX9RTMqtVF1iTIXvS851Qz5BUwdkMuNhbZrdiCwWUEZTbtSPWig+Vojpaq935ZkKM6xHYz+iYDbbcROkEOMfsBc1nc86DY95g6COMnlLjDTRRteP+ChHeam4oIzidwGBZ67wtwmMsIQyaa4Hh3DMH5GrgyfGUz591S9FvPeOMTxCP6qWrH3YOUDj1zf/oCTTnqh+S97NP2w1HzTDTVvRaN1TLZotZjJI6oXNXnx61NrEWv7iptvBQIMjD1Jd0UVd8je9zBiH3wyH6lLRbutcBjQKCEyu3Xg0ihOwCCvQu1yQdtSe9keXsfZZqdSCmOR7LV9JoABlK0TPAKLa/uJSd/4WBi8UeN3BgwWYl9WQktCJQx4obmH0LxVw3n+O8GL3UazWVgA90UcLA6aAq0F/eXveuyx+jCiyNMmynn+CRteHC1/l3DlOg4gMv+TxIadWlhlrzfi37LWD1U54FhsFRAlTAtiMm7Ro1KNHJs+DEZ9Q+7wqo5CebFhR7MJcV6qUxQnpxISwpzqQvxXZ3r9InlzMq06ytu4UFOs45MJlCDsWY/grGklJZjg2jsy127mEefPUAjiiPsvahL392dvWaK5D/JGU0ZXeHDKi8ap1YXZVS8XclarJuMfIwOcC5ujMFKH++7clwPfswuickAobC6RqZsaYI4dTT1zdpPpCge78nWqeWX3CSBXpQpQ8Ub0heLGp2Jm5kOgkeXN45Qa23Y50LnAdQOKtPCEedYSalvN22xSeqEJsURvNsIg6EzkrcFL3E08x3vmiMowzwTNIGRhF8ugjmS+2COSehhSSKcS5Q/RADN3AEPZoYzzkv/G0QNLvBqWkAYei9WY5lOtwcTO+gbdDcABF0CmXkTESZ6Vh6JNU3u6iwFAb+/7tS2jjlb/aVVRMmzjL2moFTcZVC3Wm7oOFf6SOn2wsRai2gwSuS36unGnik6QAXA9eq0wtLAUhkdz3Hq0XN8p2vORppuO730GjI8topUvW7uYlAUYpnXbgEsD+hmFFFqXIdSWlAtxrn7dNQ36Qed/WiftSUdnCADDWzNL1vvFuWKGlgZd2/8r+pac3q9rG9+vW87g46MF7zRz5Zi5e1tQS0XMycanz6QO/cej8azCjMcWtgU3ad2aovuMqZRgyaO8TjdeGLOBx2zfofibb/KrlIHUyLglD+0ykRKZaAT36mijkbn5XGtWnp2hSBrpubtK+ZYtCZ+poTPS+559ShapdkmG602Mv/8i7MEKJsgjoC75bEnogKl2xAIDVQbgzoocehWvHJk1FqVUupWAyPQGogWXdJygSCFNqEmEoiL8z/cn8adGF1Rsvk6jkD51Rfays7iMASaBG1KmlOw1tSo8YIXLtkyjdB60w7Zi3dDSv6ZY8Jjsw2gvA1YnuBXtvxkhHXz0xXIvVYPPwkWsGO4mralhsmNzQeSKQbAVGlA8JyWc5t5mD2qcwgqtkeaxu1NTcuqyi6Rr7pajMSJlnbTq8EaL1QCDVLrjhJsel+bq82qqvS/rZM0hjv7iKWm+5iaP5woqLM1wiAiTboI9PahjSh6a+CHQYVgL/FtN3pLmDUWyJRPUZTsSqcojpyraDEZp+0nz5rmveboM13/OpetmZzSWT6x25NVsXEcxKGf2a0hFCI68VBHny3o/8SQKv2mJ1TPcRREBeX/z1NrHWYDlpJlTgTRkyjMa+DUxY58QTHH/lBiTY7rxdQHFLLMtCG7nY34YUM0R25aTWtmphNZLjW+UrnWq0YKE77VFryJbid1bmejyK1wemXqKwYvm3HrXK5NvcVBjddjGIBJTTHhQdp5Ptnr6oV2/8DXXju/wEoF6rK6nYor7LhVx7wX0h1pqcbBhEfrxnzXcCBZ1AXfYhCqhDdBdFtjbfXJ1oL7j0JLQ6bGCI7zfQE+V7hNsm98z3XQleS8yg68mVXHtsqTs3xisJ9ELlciBAXn0SV/lNmgVBR4qZ/NaabUktF8iR8z10TfNEOS0wBhyBqm9W+70w8FbVeca+eNfhO0OFOZLE+LEHPqeV1R+RgL7tMZbc4CiAnlkG3tjB+DqXVzfKtnxuVtzXrTL88Aa4susRQO7q85yAGZC5uufb0yRDPvbGW91VLkmqhI51cpnYsxAy8tV2/GTUKbUvZyMBCmwz15IZpBNGm6Hjk7UBAdelfVO6pF7rAyN/ChdwvTcj1oN8OgjCHlKswnJUjWWzeIXDGVbmjMXey5U+/6rcvHVXpthgL83euKzn1vu31l/RxHy0jcaxfhqdsgwhxJM77/AtoDkwtHlVS9iwbDPFzHIR7woWVx3UJgoY1domTc/goKw4LeyjAV0kDd/ceAfT5U0XK7KN/EKa7e5As55R0dJIYaNMfLR4WDFNMcVNwItUeZ4s9tAvHUvnvQTEzkygiDyvaGY7ZbFLZX0qQF2MfsNqx5K14+w9Vlo61RpXSZkpbzAG/7I0O1w9/TEmdR2bLoCmvvjIQU0pFazNtLTLlrpaZ8gcEvu63tNLZ1e3eETjWy45u7jeKYtsat8pjktWifRTLu6ctbY+XpYu+7qYxI70ll0NhNtYn3yXIctpY73to/QUqHsVgPooMfX9sQUFcwNyyYS2svd6fW3dbWxRfDOkM6dL4atZjYOZSo8q0/tuOIm2tb9Biv60+7r6ItbzjGkJvGtcRCLoqW9zsXqF3M1nLzWxmJZVxyWP/Pag7DLk9zab7WKn41I+e3Ide9X/ptyGmWeCt21VU2BnfCOrvXm/6aBJvVDOp8LHABu0RPvPwJ319Z89eD3BvMYG08yO+iRTFY+xuQXHg0RiRn8uiQOSinRYHLZygpTs+wcrVwWws1KQADXRqCSpFOVOxRElI+IJcORJLCxfxC0H5CiTOgmzanbiHofmJt1k9+NkdgiI7Lwy2+WnNY/uFnhAtyacGHeWZpek9EnL79OP3w5h8ffwb+i2N014DmLl8Cs0GfA+DaXBHBbpJISDU8VzedghQpplNyl2vSLt+sYXnuDNX32hbadJZP8dK7if6ITIPTtFmUTx5jkq/mNyAnJalROMFyGSlKKIlrVDXMgvJqwTL9znQW5sWU5DZJFCBVaXAGfmsNuQNENfTMOXQnH/dI769b6a6RJG6dIrXr/MoTt5LGqr/UU4MQaZ7nr84Gvcpel2euxfZdMKOHtsiPcnS89gJyaLUc/ocan9ZzZVBcKwYk6Uhc7YXE4MdgIemqAIv8iFrV6xrgvYhft5gaDalsUg11z+G/MSt6vyp1fZK6gmkAZJRjXimsgGk7tUPQji4sUWbNG7vcjS2aegMNdqm2VnrueJHmKzmuNLvf2K40muV+l5pvS09JnSJHit/tSGm1zzQvtO9816XJmimzM+Fi3cAVkclq1DsjE/c65l6njylqGtAXReo3O/2X1FyR1BQHueaTRu2Dyg2XoEDVHFZUUAQzGqoe1ACKdAOYz4U8HXj6FCPF6WgyHlidPdMBY9oYZespa65AU7YtjEi3HXo3cUJzV6x61L3pq5tHi0WYhdA56bgVSJhzW7XdpqRf2CTv8kv5LtN0VruLSTmkcJlU6bi6a8ma0m1L6ezmWN/rFeII7aH/D6eZpEMynQAA",
 "code_encoding": "gzip+base64 of the UTF-8 file",
 "code_sha256": "27f53ba77ad8b670bfb058a3ad38d8a51b9ace5dccc6be56c0c5715f9e44e094",
 "tuning": {
  "n": 150,
  "mean_diff": -1.6798977302273335,
  "se": 1.444420819570054,
  "seeds": "350000..350149"
 },
 "holdout": {
  "n": 500,
  "complete": true,
  "missing_seeds": [],
  "failures": 0,
  "seeds": "460200..460699",
  "comparator_mean": 95.4058089157034,
  "mean_diff": 0.39757994629180005,
  "se": 0.21103276311950575,
  "sum_d": 198.78997314590003,
  "sum_d2": 11190.474270755125,
  "retail_diff": -0.36664262509200013,
  "arb_diff": 0.764222571377
 },
 "by_spread": {
  "1": {
   "n": 128,
   "comparator_mean": 30.217014500578905,
   "mean_diff": 1.553046665202344,
   "se": 0.8181678509033447,
   "sum_d": 198.78997314590003,
   "sum_d2": 11190.474270755125,
   "retail_diff": -1.4321977542656255,
   "arb_diff": 2.9852444194414063
  },
  "2": {
   "n": 123,
   "comparator_mean": 99.00925043335121,
   "mean_diff": 0.0,
   "se": 0.0,
   "sum_d": 0.0,
   "sum_d2": 0.0,
   "retail_diff": 0.0,
   "arb_diff": 0.0
  },
  "3": {
   "n": 131,
   "comparator_mean": 104.90118179050612,
   "mean_diff": 0.0,
   "se": 0.0,
   "sum_d": 0.0,
   "sum_d2": 0.0,
   "retail_diff": 0.0,
   "arb_diff": 0.0
  },
  "4": {
   "n": 118,
   "comparator_mean": 151.8214744399924,
   "mean_diff": 0.0,
   "se": 0.0,
   "sum_d": 0.0,
   "sum_d2": 0.0,
   "retail_diff": 0.0,
   "arb_diff": 0.0
  }
 },
 "off_target_zero": true,
 "worst_seeds": [
  {
   "seed": 460385,
   "s": 1,
   "d": -32.38936042039998
  },
  {
   "seed": 460440,
   "s": 1,
   "d": -11.566918807199983
  },
  {
   "seed": 460419,
   "s": 1,
   "d": -10.175445997700024
  },
  {
   "seed": 460352,
   "s": 1,
   "d": -6.458890843999999
  },
  {
   "seed": 460277,
   "s": 1,
   "d": -6.4307344967999995
  }
 ],
 "seconds_per_simulation": {
  "candidate": 0.36196552898309164,
  "base": 0.35159516795829404,
  "spread": 1,
  "slowdown_pct": 2.9495175047535627
 },
 "check_values": [
  17.1160017503,
  23.8203924577,
  2.3761435866,
  243.8721397061
 ],
 "python_version": "3.12.3",
 "simulator": {
  "repo": "https://github.com/danrobinson/prediction-market-challenge",
  "commit": "b244530ee2a6247b5f930830eeca9dd950da0e7e",
  "config": "default, 2000 steps, one process, no --workers, no --sandbox"
 },
 "promote": false,
 "notes": "Not a promotion: tuning -1.68 (se 1.44), holdout +0.40 (se 0.21), spread-1 holdout +1.55 (se 0.82); below 2 se. Arb loss falls (+3.0 on spread 1) but retail edge falls more on some seeds. Worst tuning seed 350064 (d=-184) is a price-at-floor regime: rival quotes flicker between ticks 1-3, the trigger fired 359 times (620 paused steps of 2000) and kept pulling the tick-2 ask that sells the base's tick-1 stock to retail. Candidate 3% slower on spread 1. Base check values match the brief's MA values exactly."
}