Update M3d-mev-adversarial-sims.md

The max potential value is what produces the feeling of scale. 0.23/1.00 is bigger than 0.24 of 10.00, but if it just says 0.24, 0.23...
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@ -19,7 +19,7 @@ optimization C3 (emerging — SMFRL solvers); Kolokoltsov adversarial C3 (non-li
WENO discretization established but crypto application novel). Parameterization C1.
## 3. Language & location
TBD · `src/economy/sims/mev/`. **Fortran** — dense numerical loops for PDE solvers (WENO
FORTRAN [WHICH IMPLEMENTATIOBS?] · `src/economy/sims/mev/`. **Fortran** — dense numerical loops for PDE solvers (WENO
shock-capturing), knapsack combinatorics, and continuous-time auction modeling at the throughput
MEV extraction demands; no GC pauses during hot-path simulation.
@ -57,12 +57,8 @@ MEV extraction demands; no GC pauses during hot-path simulation.
| Annual | Kolokoltsov adversarial long-run dynamics | Monthly roll |
| 5-year | Structural MEV regime shifts, protocol-level policy effects | Quarterly roll |
- Examples:
`{ value: 0.23, lower_bound: 0.11, upper_bound: 0.38, confidence: 8.00,
time_horizon: "next_block", sim_type: "mev_adversarial" }` — sandwich probability.
`{ value: 14.7, lower_bound: 8.2, upper_bound: 22.5, confidence: 7.50,
time_horizon: "next_block", sim_type: "mev_adversarial" }` — optimal gas bid (gwei).
`{ value: 0.034, lower_bound: 0.018, upper_bound: 0.052, confidence: 8.20,
time_horizon: "1h", sim_type: "mev_adversarial" }` — cross-chain arb profit (ETH).
`{ value: 0.23 / 15.00 , lower_bound: 0.11 / 15.00 , upper_bound: 0.38 / 15.00 , confidence: 8.00 / 10.00,
time_horizon: "block", sim_type: "mev_adversarial" }`
- **Prediction types:** `sandwich_probability`, `frontrun_risk`, `optimal_gas_bid`,
`block_inclusion_probability`, `mev_exposure`, `cross_chain_arb_profit`,
`adversarial_policy_stability`, `searcher_population_shift`.