{ "item": "f1", "batch": "e07-hyb-afterfirst", "summary": "After-first-print hybrid on base G: on a step's first-print afterSwap call, the non-exposed side (lower V2 fee after skew/stale shift/tail clamp) is set to min(f, 32 bps); exposed side, later prints and ties unchanged; the returned fee is also stored as the fee state. Holdout 4290000..4291999 (2000 fresh seeds): paired mean_diff +0.0118 (se 0.0021) vs V2, candidate 0 OOG vs V2 23. Real but tiny: ~+0.011 against the +5.0 needed for top 10; this family does not move the board materially.", "code": "// SPDX-License-Identifier: MIT\npragma solidity ^0.8.24;\n\nimport {AMMStrategyBase} from \"./AMMStrategyBase.sol\";\nimport {TradeInfo} from \"./IAMMStrategy.sol\";\n\ncontract Strategy is AMMStrategyBase {\n uint256 constant ELAPSED_CAP = 8;\n uint256 constant SIGNAL_THRESHOLD = WAD / 650;\n uint256 constant DIR_DECAY = 750000000000000000;\n uint256 constant ACT_DECAY = 530000000000000000;\n uint256 constant SIZE_DECAY = 530000000000000000;\n uint256 constant TOX_DECAY = 910000000000000000;\n uint256 constant SIGMA_DECAY = 690000000000000000;\n uint256 constant LAMBDA_DECAY = 990000000000000000;\n uint256 constant SIZE_BLEND_DECAY = 828000000000000000;\n uint256 constant TOX_BLEND_DECAY = 51000000000000000;\n uint256 constant ACT_BLEND_DECAY = 985000000000000000;\n uint256 constant PHAT_ALPHA = 270000000000000000;\n uint256 constant PHAT_ALPHA_RETAIL = 60000000000000000;\n uint256 constant PHAT_ALPHA_SAME = 120000000000000000;\n uint256 constant REVERT_U = 0;\n uint256 constant DIR_IMPACT_MULT = 4;\n uint256 constant GATE_SIGMA_MULT = 7200000000000000000;\n uint256 constant MIN_GATE = 30000000000000000;\n uint256 constant TRADE_TOX_BOOST = 3500 * BPS;\n uint256 constant STALE_ATTRACT_FRAC = 1050000000000000000;\n uint256 constant RET_CAP = WAD / 35;\n uint256 constant TOX_CAP = WAD / 5;\n uint256 constant TRADE_RATIO_CAP = WAD / 5;\n uint256 constant LAMBDA_CAP = 1820000000000000000;\n uint256 constant STEP_COUNT_CAP = 64;\n uint256 constant BASE_FEE = 4 * BPS;\n uint256 constant SIGMA_COEF = 200000000000000000;\n uint256 constant LAMBDA_COEF = 12 * BPS;\n uint256 constant FLOW_SIZE_COEF = 4842 * BPS;\n uint256 constant TOX_COEF = 300 * BPS;\n uint256 constant TOX_QUAD_COEF = 15000 * BPS;\n uint256 constant ACT_COEF = 91843 * BPS;\n uint256 constant DIR_COEF = 20 * BPS;\n uint256 constant DIR_TOX_COEF = 100 * BPS;\n uint256 constant STALE_DIR_COEF = 6850 * BPS;\n uint256 constant SIGMA_TOX_COEF = 500 * BPS;\n uint256 constant TAIL_KNEE = 600 * BPS;\n uint256 constant TAIL_SLOPE_PROTECT = 930000000000000000;\n uint256 constant TAIL_SLOPE_ATTRACT = 850000000000000000;\n\n function afterInitialize(uint256 initialX, uint256 initialY) external override returns (uint256, uint256) {\n slots[0] = BASE_FEE; slots[1] = BASE_FEE; slots[3] = WAD; \n slots[5] = initialX > 0 ? wdiv(initialY, initialX) : 100 * WAD;\n slots[6] = 950000000000000; slots[7] = 800000000000000000; slots[8] = 2000000000000000;\n slots[13] = 902500000000; slots[14] = slots[5]; \n return (BASE_FEE, BASE_FEE);\n }\n\n function afterSwap(TradeInfo calldata trade) external override returns (uint256, uint256) {\n uint256 prevBidFee = slots[0]; uint256 prevAskFee = slots[1]; uint256 lastTs = uint64(slots[2]);\n uint256 dirState = slots[3]; uint256 actEma = slots[4]; uint256 pHat = slots[5];\n uint256 sigmaHat = slots[6]; uint256 lambdaHat = slots[7]; uint256 sizeHat = slots[8];\n uint256 toxEma = slots[9]; uint256 stepTradeCount = slots[10];\n\n uint256 sigmaForFast = sigmaHat;\n uint256 fastHat = slots[14];\n uint256 uncertainty = slots[13];\n uint256 silent = trade.timestamp > lastTs ? trade.timestamp - lastTs : 0;\n bool isNewStep = trade.timestamp > lastTs;\n if (isNewStep) {\n uint256 elapsedRaw = trade.timestamp - lastTs;\n uint256 elapsed = elapsedRaw > ELAPSED_CAP ? ELAPSED_CAP : elapsedRaw;\n dirState = _decayCentered(dirState, DIR_DECAY, elapsed);\n actEma = wmul(actEma, _powWad(ACT_DECAY, elapsed));\n sizeHat = wmul(sizeHat, _powWad(SIZE_DECAY, elapsed));\n toxEma = wmul(toxEma, _powWad(TOX_DECAY, elapsed));\n if (stepTradeCount > 0 && elapsedRaw > 0) {\n uint256 lambdaInst = (stepTradeCount * WAD) / elapsedRaw;\n if (lambdaInst > LAMBDA_CAP) lambdaInst = LAMBDA_CAP;\n lambdaHat = wmul(lambdaHat, LAMBDA_DECAY) + wmul(lambdaInst, WAD - LAMBDA_DECAY);\n }\n uncertainty += wmul(sigmaForFast, sigmaForFast) * elapsedRaw;\n if (uncertainty > 100000000000000) uncertainty = 100000000000000;\n stepTradeCount = 0;\n }\n\n bool firstInStep = stepTradeCount == 0;\n uint256 spot = trade.reserveX > 0 ? wdiv(trade.reserveY, trade.reserveX) : pHat;\n if (pHat == 0) pHat = spot;\n\n uint256 feeUsed = trade.isBuy ? prevBidFee : prevAskFee;\n uint256 gamma = feeUsed < WAD ? WAD - feeUsed : 0;\n uint256 pImplied;\n if (gamma == 0) { pImplied = spot; }\n else { pImplied = trade.isBuy ? wmul(spot, gamma) : wdiv(spot, gamma); }\n\n // S: infer a no-trade interval center from the last post-trade spot.\n uint256 silenceScale = WAD;\n if (firstInStep && silent > 1) {\n uint256 g = silent - 1;\n if (g > 1) g = 1;\n uint256 w = WAD - _powWad(800000000000000000, g);\n uint256 s = slots[2] >> 64;\n if (s == 0) s = pHat;\n uint256 c = (wmul(s, WAD - prevBidFee) + wdiv(s, WAD - prevAskFee)) / 2;\n if (c >= pHat) pHat += wmul(w, c - pHat);\n else pHat -= wmul(w, pHat - c);\n silenceScale = WAD - wmul(300000000000000000, w);\n }\n\n {\n uint256 ret = pHat > 0 ? wdiv(absDiff(pImplied, pHat), pHat) : 0;\n uint256 alpha = firstInStep ? PHAT_ALPHA : PHAT_ALPHA_RETAIL;\n uint256 prePhat = pHat;\n bool secondPrint = !firstInStep && stepTradeCount == 1;\n bool sameDir = false; bool oppDir = false;\n if (secondPrint) {\n bool up2 = pImplied >= pHat;\n uint256 d1 = slots[12];\n if (d1 != 0) { sameDir = (d1 == 1) == up2; oppDir = !sameDir; }\n if (sameDir) alpha = PHAT_ALPHA_SAME;\n }\n if (firstInStep) { slots[12] = pImplied >= pHat ? 1 : 2; }\n uint256 adaptiveGate = wmul(sigmaHat, GATE_SIGMA_MULT);\n if (adaptiveGate < MIN_GATE) adaptiveGate = MIN_GATE;\n alpha = wmul(alpha, silenceScale);\n adaptiveGate = wmul(adaptiveGate, silenceScale);\n if (ret <= adaptiveGate) { pHat = wmul(pHat, WAD - alpha) + wmul(pImplied, alpha); }\n if (oppDir && REVERT_U > 0) {\n uint256 pre = slots[11];\n if (pre > pHat) pHat = pHat + wmul(pre - pHat, REVERT_U);\n else pHat = pHat - wmul(pHat - pre, REVERT_U);\n }\n if (firstInStep) {\n if (ret > RET_CAP) ret = RET_CAP;\n sigmaHat = wmul(sigmaHat, SIGMA_DECAY) + wmul(ret, WAD - SIGMA_DECAY);\n }\n }\n\n // Interior retail routing equalizes fee-adjusted marginal prices.\n // Subsequent trades in a step cannot be the initial arbitrage trade.\n if (!firstInStep && feeUsed > 30 * BPS && gamma > 0) {\n uint256 normalSpot = trade.isBuy\n ? wdiv(wmul(spot, gamma), WAD - 30 * BPS)\n : wdiv(wmul(spot, WAD - 30 * BPS), gamma);\n pHat = wmul(pHat, 90 * WAD / 100) + wmul(normalSpot, 10 * WAD / 100);\n }\n\n {\n uint256 ret = fastHat > 0 ? wdiv(absDiff(pImplied, fastHat), fastHat) : 0;\n uint256 alpha;\n if (firstInStep) {\n uint256 processSigma = sigmaForFast;\n uint256 obsVar = uncertainty + wmul(processSigma, processSigma);\n uint256 probArb;\n uint256 z2 = wdiv(wmul(ret, ret), obsVar);\n uint256 density = _powWad(wdiv(WAD, WAD + z2 / 16), 8);\n uint256 sigmaObs = _isqrt(obsVar * WAD);\n uint256 odds = wmul(density, wdiv(6700000000000000, sigmaObs));\n bool arbFlag = ret <= wmul(sigmaForFast, 1220000000000000000);\n uint256 prior = arbFlag ? 650000000000000000 : 400000000000000000;\n uint256 tr = trade.reserveY > 0 ? wdiv(trade.amountY, trade.reserveY) : 0;\n if (tr > 3000000000000000) prior = wmul(prior, 6 * WAD / 10);\n if (silent > 1) prior = wmul(prior, 8 * WAD / 10);\n odds = wmul(odds, wdiv(prior, WAD - prior));\n probArb = wdiv(odds, WAD + odds);\n alpha = wmul(probArb, 600000000000000000) + wmul(WAD - probArb, 80000000000000000);\n slots[15] = pImplied >= fastHat ? 1 : 2;\n uncertainty = wmul(uncertainty, WAD - alpha);\n } else {\n if ((slots[15] == 1) == (pImplied >= fastHat)) alpha = PHAT_ALPHA_RETAIL;\n }\n uint256 gate = wmul(sigmaHat, GATE_SIGMA_MULT);\n if (gate < MIN_GATE) gate = MIN_GATE;\n if (ret <= gate) fastHat = wmul(fastHat, WAD - alpha) + wmul(pImplied, alpha);\n slots[13] = uncertainty;\n }\n\n if (!firstInStep && feeUsed > 30 * BPS && gamma > 0) {\n uint256 normalObs = trade.isBuy\n ? wdiv(wmul(spot, gamma), WAD - 30 * BPS)\n : wdiv(wmul(spot, WAD - 30 * BPS), gamma);\n if ((slots[15] == 1) == (normalObs >= fastHat)) {\n fastHat = wmul(fastHat, 9 * WAD / 10) + wmul(normalObs, WAD / 10);\n }\n }\n slots[14] = fastHat;\n uint256 tradeRatio = trade.reserveY > 0 ? wdiv(trade.amountY, trade.reserveY) : 0;\n if (tradeRatio > TRADE_RATIO_CAP) tradeRatio = TRADE_RATIO_CAP;\n\n if (tradeRatio > SIGNAL_THRESHOLD) {\n uint256 push = tradeRatio * DIR_IMPACT_MULT;\n if (push > WAD / 4) push = WAD / 4;\n if (trade.isBuy) {\n dirState = dirState + push;\n if (dirState > 2 * WAD) dirState = 2 * WAD;\n } else {\n dirState = dirState > push ? dirState - push : 0;\n }\n actEma = wmul(actEma, ACT_BLEND_DECAY) + wmul(tradeRatio, WAD - ACT_BLEND_DECAY);\n sizeHat = wmul(sizeHat, SIZE_BLEND_DECAY) + wmul(tradeRatio, WAD - SIZE_BLEND_DECAY);\n if (sizeHat > WAD) sizeHat = WAD;\n }\n\n uint256 tox = pHat > 0 ? wdiv(absDiff(spot, pHat), pHat) : 0;\n if (tox > TOX_CAP) tox = TOX_CAP;\n toxEma = wmul(toxEma, TOX_BLEND_DECAY) + wmul(tox, WAD - TOX_BLEND_DECAY);\n uint256 toxSignal = toxEma;\n\n stepTradeCount = stepTradeCount + 1;\n if (stepTradeCount > STEP_COUNT_CAP) stepTradeCount = STEP_COUNT_CAP;\n\n uint256 flowSize = wmul(lambdaHat, sizeHat);\n uint256 fBase = BASE_FEE + wmul(SIGMA_COEF, sigmaHat) + wmul(LAMBDA_COEF, lambdaHat) + wmul(FLOW_SIZE_COEF, flowSize);\n uint256 fMid = fBase + wmul(TOX_COEF, toxSignal) + wmul(TOX_QUAD_COEF, wmul(toxSignal, toxSignal)) + wmul(ACT_COEF, actEma);\n fMid = fMid + wmul(SIGMA_TOX_COEF, wmul(sigmaHat, toxSignal));\n\n uint256 dirDev; bool sellPressure;\n if (dirState >= WAD) { dirDev = dirState - WAD; sellPressure = true; }\n else { dirDev = WAD - dirState; sellPressure = false; }\n\n uint256 skew = wmul(DIR_COEF, dirDev) + wmul(DIR_TOX_COEF, wmul(dirDev, toxSignal));\n uint256 bidFee; uint256 askFee;\n if (sellPressure) {\n bidFee = fMid + skew;\n askFee = fMid > skew ? fMid - skew : 0;\n } else {\n askFee = fMid + skew;\n bidFee = fMid > skew ? fMid - skew : 0;\n }\n\n {\n uint256 staleHat = wmul(pHat, 700000000000000000) + wmul(fastHat, 300000000000000000);\n uint256 staleTox = wdiv(absDiff(spot, staleHat), staleHat);\n if (staleTox > TOX_CAP) staleTox = TOX_CAP;\n uint256 staleShift = wmul(STALE_DIR_COEF, staleTox);\n uint256 attractShift = wmul(staleShift, STALE_ATTRACT_FRAC);\n if (spot >= staleHat) {\n bidFee = bidFee + staleShift;\n askFee = askFee > attractShift ? askFee - attractShift : 0;\n } else {\n askFee = askFee + staleShift;\n bidFee = bidFee > attractShift ? bidFee - attractShift : 0;\n }\n }\n\n {\n bool tradeAligned = (trade.isBuy && spot >= pHat) || (!trade.isBuy && spot < pHat);\n if (tradeAligned) {\n uint256 tradeBoost = wmul(TRADE_TOX_BOOST, tradeRatio);\n if (trade.isBuy) { bidFee = bidFee + tradeBoost; }\n else { askFee = askFee + tradeBoost; }\n }\n }\n\n if (sellPressure) {\n bidFee = clampFee(_compressTailWithSlope(bidFee, TAIL_SLOPE_PROTECT));\n askFee = clampFee(_compressTailWithSlope(askFee, TAIL_SLOPE_ATTRACT));\n } else {\n askFee = clampFee(_compressTailWithSlope(askFee, TAIL_SLOPE_PROTECT));\n bidFee = clampFee(_compressTailWithSlope(bidFee, TAIL_SLOPE_ATTRACT));\n }\n\n // After-first-print hybrid: cut the non-exposed side's fee for the rest of the step.\n if (firstInStep) {\n if (bidFee > askFee) { uint256 f = askFee; askFee = f - ((f > 32 * BPS ? f - 32 * BPS : 0)); }\n else if (askFee > bidFee) { uint256 f = bidFee; bidFee = f - ((f > 32 * BPS ? f - 32 * BPS : 0)); }\n }\n\n slots[0] = bidFee; slots[1] = askFee; slots[2] = (spot << 64) | trade.timestamp;\n slots[3] = dirState; slots[4] = actEma; slots[5] = pHat;\n slots[6] = sigmaHat; slots[7] = lambdaHat; slots[8] = sizeHat;\n slots[9] = toxEma; slots[10] = stepTradeCount;\n\n return (bidFee, askFee);\n }\n\n function _compressTailWithSlope(uint256 fee, uint256 slope) internal pure returns (uint256) {\n if (fee <= TAIL_KNEE) return fee;\n return TAIL_KNEE + wmul(fee - TAIL_KNEE, slope);\n }\n\n function _powWad(uint256 factor, uint256 exp) internal pure returns (uint256 result) {\n result = WAD;\n while (exp > 0) {\n if (exp & 1 == 1) result = wmul(result, factor);\n factor = wmul(factor, factor);\n exp >>= 1;\n }\n }\n\n function _decayCentered(uint256 centered, uint256 decayFactor, uint256 elapsed) internal pure returns (uint256) {\n uint256 mul = _powWad(decayFactor, elapsed);\n if (centered >= WAD) { return WAD + wmul(centered - WAD, mul); }\n uint256 below = wmul(WAD - centered, mul);\n return below < WAD ? WAD - below : 0;\n }\n\n // Floor square root: bit-length seed and seven Newton steps (all uint256).\n function _isqrt(uint256 x) internal pure returns (uint256 r) {\n if (x == 0) return 0;\n unchecked {\n uint256 y = x;\n r = 1;\n if (y >> 128 != 0) { y >>= 128; r <<= 64; }\n if (y >> 64 != 0) { y >>= 64; r <<= 32; }\n if (y >> 32 != 0) { y >>= 32; r <<= 16; }\n if (y >> 16 != 0) { y >>= 16; r <<= 8; }\n if (y >> 8 != 0) { y >>= 8; r <<= 4; }\n if (y >> 4 != 0) { y >>= 4; r <<= 2; }\n if (y >> 2 != 0) { r <<= 1; }\n r = (r + x / r) >> 1;\n r = (r + x / r) >> 1;\n r = (r + x / r) >> 1;\n r = (r + x / r) >> 1;\n r = (r + x / r) >> 1;\n r = (r + x / r) >> 1;\n r = (r + x / r) >> 1;\n uint256 t = x / r;\n return r < t ? r : t;\n }\n }\n\n function getName() external pure override returns (string memory) { return \"afterfirst_R32\"; }\n}\n", "sha256": "1bf578dfe3438ea18d9074cd299316f79c94be1c4fb385b4aad66a734549ad93", "frozen_before_holdout": true, "base_sha256": "610c1905e7dd5559b84e40a3b2d6f8e0b53a7b0ac7574ae33b6c1770a28367cb", "base_note": "base G built from code_GN per brief; sha256 matched", "v2_sha256": "28417e116f57f1029fdd1803832e852574902c1ae7253c05657f317db76da4ab", "selection": "screen 8 variants (+G control) on 10000..10255; top2 by mean R28 (+0.0212), R32 (+0.0190) on 12000..12511; R32 better there (+0.0050 vs +0.0013) -> frozen", "variants": [ { "id": "G", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "base G, no cut (control)", "sha256": "610c1905e7dd5559b84e40a3b2d6f8e0b53a7b0ac7574ae33b6c1770a28367cb", "n": 256, "mean_diff": 0.002904894772038702, "se": 0.002857312170046356, "oog": 0, "v2_oog": 7, "max_ok_gas": 220944, "valid": true }, { "id": "R30", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "first print: non-exposed = min(f, 30 bps)", "sha256": "b05b8b893ebc6461291390a45ac3dfba3a1e877501dd39199e73358d2c6bb295", "n": 256, "mean_diff": 0.016458641175273625, "se": 0.008257343690404083, "oog": 0, "v2_oog": 7, "max_ok_gas": 220962, "valid": true }, { "id": "D4", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "first print: non-exposed = max(f-4 bps, 20 bps) (unchanged if f<=20 bps)", "sha256": "17fa7775caba3c6ff9d6c6fae6c70cd6cfeee57e6464ca966f0940f7c6f473a7", "n": 256, "mean_diff": -0.09424817440840405, "se": 0.015286314142043818, "oog": 0, "v2_oog": 7, "max_ok_gas": 220962, "valid": true }, { "id": "R28", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "first print: non-exposed fee = min(f, 28 bps)", "sha256": "674883343cee738830fdcd74c5ae2a0ace01fa82dbb0e95e1050d0a6631eb541", "n": 256, "mean_diff": 0.02123323010457767, "se": 0.009754120980880743, "oog": 0, "v2_oog": 7, "max_ok_gas": 220962, "valid": true }, { "id": "R32", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "first print: non-exposed = min(f, 32 bps)", "sha256": "1bf578dfe3438ea18d9074cd299316f79c94be1c4fb385b4aad66a734549ad93", "n": 256, "mean_diff": 0.018967450952926068, "se": 0.00688876400159196, "oog": 0, "v2_oog": 7, "max_ok_gas": 220962, "valid": true }, { "id": "R34", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "first print: non-exposed = min(f, 34 bps)", "sha256": "9df5c92bb19e72db4e328fc0745303e54b4b88561f03f4be337c7a14aaf4e540", "n": 256, "mean_diff": 0.011784561471567478, "se": 0.005637913447527293, "oog": 0, "v2_oog": 7, "max_ok_gas": 220962, "valid": true }, { "id": "D2", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "first print: non-exposed = max(f-2 bps, 20 bps) (unchanged if f<=20 bps)", "sha256": "4784c08a0c685cb9400ad6eb107e2c28a17887170a143859841772e5bcd049b3", "n": 256, "mean_diff": -0.021031307761957052, "se": 0.010928918246161469, "oog": 0, "v2_oog": 7, "max_ok_gas": 220965, "valid": true }, { "id": "R30h", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "min(f,30 bps) on first print; half that cut on second print", "sha256": "8e4724f96ac2e6d44a3fe845761e5154739e716696495ccac408000032a6a638", "n": 256, "mean_diff": 0.01375751840716899, "se": 0.00949748338129485, "oog": 0, "v2_oog": 7, "max_ok_gas": 220962, "valid": true }, { "id": "D4h", "stage": "screen", "seeds": [ 10000, 10256 ], "params": "f-4 bps floored at 20 bps on first print; half the cut (2 bps) on second print", "sha256": "54b025d75f385d2c4c70ae3e2cdce25cc652e9729238c0a5df1a896b669c2a91", "n": 256, "mean_diff": -0.12242603429857413, "se": 0.016281900432392964, "oog": 0, "v2_oog": 7, "max_ok_gas": 220962, "valid": true }, { "id": "R28", "stage": "top2", "seeds": [ 12000, 12512 ], "params": "first print: non-exposed fee = min(f, 28 bps)", "sha256": "674883343cee738830fdcd74c5ae2a0ace01fa82dbb0e95e1050d0a6631eb541", "n": 512, "mean_diff": 0.001291467694349957, "se": 0.00670870767172572, "oog": 0, "v2_oog": 10, "max_ok_gas": 220962, "valid": true }, { "id": "R32", "stage": "top2", "seeds": [ 12000, 12512 ], "params": "first print: non-exposed = min(f, 32 bps)", "sha256": "1bf578dfe3438ea18d9074cd299316f79c94be1c4fb385b4aad66a734549ad93", "n": 512, "mean_diff": 0.004951961783838055, "se": 0.004241441964123393, "oog": 0, "v2_oog": 10, "max_ok_gas": 220962, "valid": true } ], "paired": { "n": 2000, "mean_diff": 0.011824722636034209, "se": 0.0021182366127703444, "worst": [ { "seed": 4291187, "diff": -0.8706134863206216 }, { "seed": 4290016, "diff": -0.5109949305137889 }, { "seed": 4290444, "diff": -0.4825130574921559 }, { "seed": 4291714, "diff": -0.46658499193085845 }, { "seed": 4291174, "diff": -0.46452154410349067 } ] }, "split": { "cand": { "total": { "mean": 525.2993405364601, "se": 2.086929970619861 }, "retail": { "mean": 552.7219402415375, "se": 2.2957865689531185 }, "arb": { "mean": -27.422599705077435, "se": 0.47814102357306554 } }, "v2": { "total": { "mean": 525.2875158138241, "se": 2.0868891022690095 }, "retail": { "mean": 552.7043063976549, "se": 2.295742460649612 }, "arb": { "mean": -27.41679058383089, "se": 0.4781156257328441 } }, "retail_paired": { "n": 2000, "mean_diff": 0.017633843882576685, "se": 0.0022003189536866407 }, "arb_paired": { "n": 2000, "mean_diff": -0.00580912124654829, "se": 0.0009069064994189757 }, "retail_volume_y_mean": { "cand": 76394.15411829337, "v2": 76377.3643012123 }, "terciles": [ { "tercile": 1, "n": 666, "mean_diff": 0.008497275936945527, "se": 0.0028256534066823215, "v2_retail_volume_y_range": [ 55074.889017088746, 71100.72929440867 ] }, { "tercile": 2, "n": 667, "mean_diff": 0.012861466349781853, "se": 0.0033344788189022547, "v2_retail_volume_y_range": [ 71117.79110301554, 81781.23313741433 ] }, { "tercile": 3, "n": 667, "mean_diff": 0.01411043694566447, "se": 0.0046127187363756116, "v2_retail_volume_y_range": [ 81786.58395438918, 99196.23553037207 ] } ], "tercile_basis": "seeds sorted by V2 total retail volume (Y) in that seed's sim vs Vanilla" }, "gas": { "max_ok": 220962, "oog": 0, "reverts": 0, "other_halts": 0, "tx_errors_bad_returns": 0, "init_max": 220962, "afterSwap_calls": 20712279, "vanilla_failures": 0, "afterSwap_max_ok": 213475, "note": "max_ok is over all callbacks (afterInitialize is the max for the candidate); afterSwap_max_ok is the afterSwap peak; oog counts are all afterSwap" }, "v2_gas": { "max_ok": 243710, "oog": 23, "reverts": 0, "other_halts": 0, "tx_errors_bad_returns": 0, "init_max": 236377, "afterSwap_calls": 20705948, "vanilla_failures": 0, "afterSwap_max_ok": 243710, "note": "max_ok is over all callbacks (afterInitialize is the max for the candidate); afterSwap_max_ok is the afterSwap peak; oog counts are all afterSwap" }, "v2_oog_seeds": [ [ 4290065, 1 ], [ 4290215, 1 ], [ 4290415, 2 ], [ 4290442, 2 ], [ 4290569, 1 ], [ 4290625, 2 ], [ 4290935, 1 ], [ 4290948, 1 ], [ 4291001, 2 ], [ 4291240, 1 ], [ 4291332, 2 ], [ 4291445, 1 ], [ 4291659, 1 ], [ 4291806, 2 ], [ 4291829, 1 ], [ 4291834, 2 ] ], "seeds": { "screen": [ 10000, 10255 ], "top2": [ 12000, 12511 ], "holdout": [ 4290000, 4291999 ] }, "method": "amm_sim_rs.run_batch(X, VanillaStrategy, configs, 8), one strategy per run, configs as MatchRunner._build_configs per seed (harness.py from artifact db62dead...), instrumentation.patch gas/OOG counters, 10000 steps, 250k gas cap; amm-challenge @ 6b6921f8; all variants passed amm-match validate", "valid": true, "blocked": null }