{
 "approach": "Deepen NP (CH + 30bps-pool implied-spot blend) by scaling the blend weight with print size sr=amountY/reserveY. Grid on tuning seeds 30000..31999 (then 32000..33999 for the top 4) paired per seed against NP via amm_sim_rs.run_batch with MatchRunner._build_configs draws. Brief's suggested shapes (w=min(0.2,k*sr); two-level 0/0.1 with a size threshold) all lost to NP: weights above 0.1 hurt (-0.2 to -0.47) and zeroing small prints hurt unless threshold <=0.0005. What helps slightly is DOWN-weighting tiny prints while keeping the 0.1 cap: frozen candidate C150 w=min(0.1,150*sr) (linear ramp to full NP weight at sr=1/1500 ~ 6.7 bps of Y reserve). Fresh paired test 800000..801999: +0.0180 +/- 0.0050 (3.6 se), all four 500-seed chunks positive. On 0..999 it is flat vs NP (-0.0002 +/- 0.0072).",
 "tried": [
  {
   "variant": "L25: K=25 THR=0 WMAX=0.2 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.4684,
   "se": 0.0144,
   "mean_edge": 523.4124
  },
  {
   "variant": "L50: K=50 THR=0 WMAX=0.2 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.3211,
   "se": 0.0145,
   "mean_edge": 523.5597
  },
  {
   "variant": "L100: K=100 THR=0 WMAX=0.2 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.2148,
   "se": 0.0147,
   "mean_edge": 523.666
  },
  {
   "variant": "L200: K=200 THR=0 WMAX=0.2 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.1967,
   "se": 0.0145,
   "mean_edge": 523.6841
  },
  {
   "variant": "T05: K=0 THR=0.0005 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.0084,
   "se": 0.0073,
   "mean_edge": 523.8891
  },
  {
   "variant": "T1: K=0 THR=0.001 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.0068,
   "se": 0.0084,
   "mean_edge": 523.8739
  },
  {
   "variant": "T2: K=0 THR=0.002 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.0747,
   "se": 0.0095,
   "mean_edge": 523.806
  },
  {
   "variant": "T4: K=0 THR=0.004 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.2543,
   "se": 0.0106,
   "mean_edge": 523.6265
  },
  {
   "variant": "T2w2: K=0 THR=0.002 WMAX=0.2 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.3414,
   "se": 0.0158,
   "mean_edge": 523.5394
  },
  {
   "variant": "T02: K=0 THR=0.0002 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.0015,
   "se": 0.0046,
   "mean_edge": 523.8793
  },
  {
   "variant": "T03: K=0 THR=0.0003 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.0062,
   "se": 0.0055,
   "mean_edge": 523.887
  },
  {
   "variant": "C100: K=100 THR=0 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.012,
   "se": 0.0069,
   "mean_edge": 523.8928
  },
  {
   "variant": "C400: K=400 THR=0 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.0024,
   "se": 0.0036,
   "mean_edge": 523.8783
  },
  {
   "variant": "A8: K=10 THR=0 WMAX=0.12 BASE=0.08 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.0109,
   "se": 0.0053,
   "mean_edge": 523.8699
  },
  {
   "variant": "TL7: K=0 THR=0.001 WMAX=0.1 BASE=0.1 LOW=0.07 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.008,
   "se": 0.0041,
   "mean_edge": 523.8888
  },
  {
   "variant": "TL5: K=0 THR=0.0005 WMAX=0.1 BASE=0.1 LOW=0.05 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.0094,
   "se": 0.0047,
   "mean_edge": 523.8902
  },
  {
   "variant": "A6: K=20 THR=0 WMAX=0.14 BASE=0.06 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.0425,
   "se": 0.0078,
   "mean_edge": 523.8382
  },
  {
   "variant": "C50: K=50 THR=0 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": -0.0083,
   "se": 0.0077,
   "mean_edge": 523.8725
  },
  {
   "variant": "C70: K=70 THR=0 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.0052,
   "se": 0.0073,
   "mean_edge": 523.886
  },
  {
   "variant": "C150: K=150 THR=0 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.0137,
   "se": 0.0054,
   "mean_edge": 523.8945
  },
  {
   "variant": "TL1x5: K=0 THR=0.001 WMAX=0.1 BASE=0.1 LOW=0.05 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.0095,
   "se": 0.0065,
   "mean_edge": 523.8903
  },
  {
   "variant": "TL7x5: K=0 THR=0.0007 WMAX=0.1 BASE=0.1 LOW=0.05 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "30000..31999",
   "n": 2000,
   "mean_diff": 0.0137,
   "se": 0.006,
   "mean_edge": 523.8945
  },
  {
   "variant": "C150: K=150 THR=0 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "32000..33999",
   "n": 2000,
   "mean_diff": 0.0129,
   "se": 0.0049,
   "mean_edge": 524.9766
  },
  {
   "variant": "TL7x5: K=0 THR=0.0007 WMAX=0.1 BASE=0.1 LOW=0.05 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "32000..33999",
   "n": 2000,
   "mean_diff": 0.0108,
   "se": 0.0049,
   "mean_edge": 524.9746
  },
  {
   "variant": "C100: K=100 THR=0 WMAX=0.1 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "32000..33999",
   "n": 2000,
   "mean_diff": 0.0133,
   "se": 0.0057,
   "mean_edge": 524.9771
  },
  {
   "variant": "TL5: K=0 THR=0.0005 WMAX=0.1 BASE=0.1 LOW=0.05 (sr=amountY/reserveY; K=0 => constant weight above THR)",
   "seeds": "32000..33999",
   "n": 2000,
   "mean_diff": 0.0092,
   "se": 0.0043,
   "mean_edge": 524.973
  },
  {
   "variant": "C150 pooled over both tuning blocks",
   "seeds": "30000..33999",
   "n": 4000,
   "mean_diff": 0.013313545252292868,
   "se": 0.0036628762122861737
  }
 ],
 "next": "Gain is real but small (~+0.015). Next: replicate C150 on another fresh block before promotion merge; try a smooth ramp combined with a lower base (e.g. w=min(0.1,0.03+100*sr)) only if tuned on 30000..39999; also try size-scaling the CH first-in-step pHat alpha (PHAT_ALPHA_RETAIL) the same way, which is a distinct idea from this item.",
 "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 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[2] = 0; slots[3] = WAD; slots[4] = 0;\n        slots[5] = initialX > 0 ? wdiv(initialY, initialX) : 100 * WAD;\n        slots[6] = 950000000000000; slots[7] = 800000000000000000; slots[8] = 2000000000000000;\n        slots[9] = 0; slots[10] = 0;\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 = 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        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            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        {\n            uint256 ret = pHat > 0 ? wdiv(absDiff(pImplied, pHat), pHat) : 0;\n            uint256 alpha = firstInStep ? PHAT_ALPHA : PHAT_ALPHA_RETAIL;\n            uint256 adaptiveGate = wmul(sigmaHat, GATE_SIGMA_MULT);\n            if (adaptiveGate < MIN_GATE) adaptiveGate = MIN_GATE;\n            if (ret <= adaptiveGate) { pHat = wmul(pHat, WAD - alpha) + wmul(pImplied, alpha); }\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        if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 sr=trade.reserveY>0?wdiv(trade.amountY,trade.reserveY):0;uint256 w=sr<0?0:wmul(sr,150000000000000000000);if(w>100000000000000000)w=100000000000000000;if(w>0){uint256 nS=trade.isBuy?wdiv(wmul(spot,gamma),WAD-30*BPS):wdiv(wmul(spot,WAD-30*BPS),gamma);pHat=wmul(pHat,WAD-w)+wmul(nS,w);}}\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 staleShift = wmul(STALE_DIR_COEF, toxSignal);\n            uint256 attractShift = wmul(staleShift, STALE_ATTRACT_FRAC);\n            if (spot >= pHat) {\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        slots[0] = bidFee; slots[1] = askFee; slots[2] = 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    function getName() external pure override returns (string memory) { return \"no_cubic\"; }\n}\n",
 "code_sha256": "71228bfdbeac84aeb5e136bebdab9cdf7212a1eb6520e17b7b96c1d7b2c25d09",
 "delta": [
  "Replaced NP's fixed 0.1 blend weight on the 30bps-pool implied spot with w=min(0.1, 150*amountY/reserveY): line before `uint256 tradeRatio` is now `if(!firstInStep&&feeUsed>30*BPS&&gamma>0){uint256 sr=trade.reserveY>0?wdiv(trade.amountY,trade.reserveY):0;uint256 w=sr<0?0:wmul(sr,150e18);if(w>0.1e18)w=0.1e18;if(w>0){nS=...;pHat=wmul(pHat,WAD-w)+wmul(nS,w);}}` (the `sr<0` test is a no-op since THR=0). Everything else identical to NP (getName still 'no_cubic')."
 ],
 "score": {
  "seed_start": 0,
  "n": 1000,
  "mean_edge": 526.0335600145382,
  "se": 2.7912233441041674,
  "reference_NP_same_seeds": 526.0337302497852,
  "paired_diff_vs_NP_on_0_999": -0.00017023524703262182,
  "paired_se_vs_NP_on_0_999": 0.0072201084199085995
 },
 "reproduction": {
  "CH_0_999": 525.5258821780834,
  "NP_0_999": 526.0337302497852,
  "CH_sha256": "6dd68f77a70900319460215374143dbd5d924198450a46d9f5f91f6b1e3d35c3",
  "NP_sha256": "95d21646a5b6d293c86c36a184769477be7b1ff39ab2adde7668ed79fb22dd38",
  "matches_brief": true
 },
 "paired": {
  "reference": "NP (sha256 95d21646a5b6d293c86c36a184769477be7b1ff39ab2adde7668ed79fb22dd38)",
  "seed_start": 800000,
  "n": 2000,
  "n_covered": 2000,
  "mean_diff": 0.01803830969456101,
  "se": 0.0049672003586033655,
  "chunks": [
   {
    "seed_start": 800000,
    "n": 500,
    "mean_diff": 0.01201592860161918,
    "se": 0.01020566898501049
   },
   {
    "seed_start": 800500,
    "n": 500,
    "mean_diff": 0.02617603122927528,
    "se": 0.009292293615930161
   },
   {
    "seed_start": 801000,
    "n": 500,
    "mean_diff": 0.019778821690069434,
    "se": 0.011510401480789516
   },
   {
    "seed_start": 801500,
    "n": 500,
    "mean_diff": 0.014182457257280134,
    "se": 0.008492915226869974
   }
  ],
  "worst": [
   {
    "seed": 801417,
    "diff": -3.303238561002786
   },
   {
    "seed": 800321,
    "diff": -1.5425076515708724
   },
   {
    "seed": 800836,
    "diff": -1.2480448734545462
   },
   {
    "seed": 801786,
    "diff": -1.0652181348202703
   },
   {
    "seed": 800036,
    "diff": -0.9302936382759412
   }
  ],
  "measured_once": true,
  "clears_2se": true
 },
 "seconds_per_simulation": 0.0226,
 "seconds_per_simulation_note": "wall time per simulation with run_batch on 32 workers (batches of 500); ~0.72 s per simulation per core",
 "validate_ok": true,
 "blocked": null,
 "citations": [
  "https://github.com/benedictbrady/amm-challenge/blob/6b6921f8d463314aa7c96234e1be25a25245f704/README.md",
  "https://raw.githubusercontent.com/ChengHua926/amm-challenge/d34a5199c59a4c44d5336a25f1436b4ae1f21104/contracts/src/Strategy.sol"
 ]
}