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Set sim speed to 90:1 (1s wall = 90s sim) across all specs

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Grounded ratio based on ABIDES/ECMWF benchmarks. Single global clock
shared by all horizons. Wall time for full window: hourly ~40s,
daily ~16min, weekly ~1.9hr, monthly ~8.3hr, annual ~4.2d, 5yr ~20.8d.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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Claude
2026-07-13 23:18:24 +00:00
parent e40210f570
commit ab086e422b
6 changed files with 23 additions and 25 deletions
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core/docs/plans/M3e-tokenomics-macro-sims.md
+3 -3
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@@ -6,7 +6,7 @@ burns, inflation), lending protocol dynamics, DeFi systemic risk, and stock-flow
stochastic differential equations (SDEs), state-space models, kinked interest rate curves, and
inter-protocol credit exposure networks. Pops here are **aggregate behavioral cohorts**
(miners/validators, holders, speculators, protocol treasuries, borrowers/lenders) whose collective
behavior drives token-level dynamics across **six concurrent time horizons** at tick-advanced, ≥ 360:1 (1s wall = 1h sim).
behavior drives token-level dynamics across **six concurrent time horizons** at tick-advanced, 90:1 (1s wall = 90s sim).
Grounded in Vienna complex-systems token modeling [7], ResearchGate engineering token economy
frameworks [6], Aave/Compound kinked interest rate models (industry standard), and DeXposure
@@ -49,7 +49,7 @@ Julia (DifferentialEquations.jl), Python (scipy), or Octave.
## 5. Interface contract
- Implements `query(PredictionQuery) -> BoundedPrediction` per M3 hub.
- **Output bounds:** SDE confidence bands, utilization rate ranges, contagion impact intervals.
- **Time-horizon mapping** (all run concurrently, tick-advanced, ≥ 360:1 (1s wall = 1h sim)):
- **Time-horizon mapping** (all run concurrently, tick-advanced, 90:1 (1s wall = 90s sim)):
| Horizon | Primary models | Update cadence |
|---------|---------------|----------------|
| Hourly | Lending rates, utilization, liquidation risk | Every block |
@@ -107,7 +107,7 @@ Lending: rate curve exhibits kink at $U_{\text{opt}}$; liquidation cascades trig
collateral ratio breached. DeXposure: shock to protocol A propagates to protocol B through shared
collateral; isolated protocols unaffected. Yield: optimizer rebalances toward highest risk-adjusted
APY. Calibration: state estimate converges to observed data. Bounds: SDE confidence bands cover
realized paths on backtest. Speed: sim tick-advances ≥ 360:1 (1s wall = 1h sim).
realized paths on backtest. Speed: sim tick-advances at 90:1.
## 10. Open items
- Which tokens to model initially (ETH? BTC? a specific alt?).