Four moves (git mv, history preserved on all 39 files): - ASM_Potidaea_OrbitalSwap -> ASM_Native/Potidaea_OrbitalSwap (renamed, dropped the ASM_ prefix; now nested under ASM_Native) - MBA_Shares -> ASM_Native/MBA_Shares - FIATm -> ASM_Native/FIATm - Pari_P2P -> Betting/Pari_P2P ASM_Native now groups the native-BCH swap (Potidaea) with the native asset families it swaps (FIATμ/BCHm, MBA/shares). Rewrote ASM_Native/README.md from a pointer stub into a real folder index describing the contained subfolders + how they fit (mechanism vs assets). Rewrote every reference: Potidaea internal links (depth +1; self-folder refs collapsed), external links from DEX_Anthemus/wiki/ASM_CrossChain, prose/path refs across Parameters + wiki + CLAUDE.md + docs + code-comment doc-pointers (scripts/src/contracts), memory, and .gitignore (transcripts ignore rule). Co-moved siblings (FIATm<->MBA_Shares) kept their ../sibling links untouched since they stayed siblings under ASM_Native. Verified with a link-resolver: all 453 relative links across 165 files resolve. Snapshots keep old paths (historical changelog). Parallel FX-desk/uniform-reserve track left untouched. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
542 lines
26 KiB
JavaScript
542 lines
26 KiB
JavaScript
#!/usr/bin/env node
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/**
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* sim-dra-controller.mjs — simulator for the reflective Dynamic Rate Asset (DRA).
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*
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* Implements the asymmetric three-force model defined in
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* Parameters/ASM_Native/FIATm/dra_dynamic-rate-asset_FOR-design-record.md
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*
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* Three forces, all biased toward the §6 maturity ratio of 1 DRA = €357:
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* 1. Fee accrual — always positive (from FIATm-family transactions)
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* 2. Reflective rate — asymmetric (full positive on EUR weakness,
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* dampened negative on EUR strength)
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* 3. Catalyst counter — strengthens negative-side dampening with adoption
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*
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* Stage-1 tests (per §9 of design record):
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* T1 Fee accrual lift at varied FIATm-family volumes (low/medium/high)
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* T2 Reflective asymmetric response under sustained EUR cycles
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* T3 Catalyst convergence — β sweep, which β reaches A=30 + maturity envelope?
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* T4 Adversarial trajectory — early sustained EUR strengthening
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* T5 Vintage analysis — fairness across mint-vintage cohorts
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*
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* Run: node scripts/sim-dra-controller.mjs
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*/
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// ── Genesis parameters ──────────────────────────────────────────────────
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const BCH_EUR_GENESIS = 200; // BCH = €200 at launch
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const EUR_RATE_0 = Math.round(1e8 / BCH_EUR_GENESIS); // sats per EURm at launch = 500,000
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const LAUNCH_RATIO = 357; // 1 EUR = 357 DRA (1998 ERM-entry parity)
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const DRA_RATE_0 = Math.round(EUR_RATE_0 / LAUNCH_RATIO); // sats per DRA at launch = 1,401
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// ── Reflective formula parameters ───────────────────────────────────────
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const ALPHA = 1.0; // base reflection amplitude (full linear mirror)
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const BETA = 0.10; // per-catalyst counter-strengthening (negative-side dampening)
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const GAMMA = 0.05; // per-catalyst gain (positive-side acceleration) — NEW
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// ── Amplitude clamp (adoption-scaled, asymmetric widening) ──────────────
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const LOWER_CLAMP_0 = 0.5; // [0.5×, 2.0×] at launch
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const UPPER_CLAMP_0 = 2.0;
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const LOWER_WIDEN_PER_CAT = 0.015; // lower bound drops 1.5% baseline per catalyst
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const UPPER_WIDEN_PER_CAT = 0.10; // upper bound rises 10% baseline per catalyst
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const LOWER_FLOOR = 0.05; // never below 5% of baseline
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// ── Catalyst trigger ─────────────────────────────────────────────────────
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const CATALYST_TRIGGER = 210_000; // matches §12a.2 (FIATm controller)
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const MAX_CATALYSTS = 30; // hard cap (asymptote — matches design's A=30 target)
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// ── Fee schedule (chipnet-tunable) ──────────────────────────────────────
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const FEE_MINT_REDEEM = 0.0005; // 0.05% on FIATm mint/redeem
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const FEE_SWAP = 0.0010; // 0.10% on FIATm-to-FIATm swap
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// ── Maturity target ─────────────────────────────────────────────────────
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const MATURITY_EUR_PER_DRA = 357; // 1 DRA = €357 at maturity (opposite reverse)
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// ────────────────────────────────────────────────────────────────────────
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// DRA controller — the shared-pool state machine
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// ────────────────────────────────────────────────────────────────────────
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class DraController {
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constructor(beta = BETA) {
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this.beta = beta;
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this.pool_sats = 0; // BCH in pool (sats)
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this.supply = 0; // DRA units issued
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this.cumulative_mints = 0; // for catalyst trigger
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this.catalysts = 0;
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this.eur_rate_history = []; // for time-averaging
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this.last_dra_rate = DRA_RATE_0;
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}
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// EUR_rate moving average — window lengthens with adoption
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averagingWindowHours() {
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if (this.catalysts === 0) return 6;
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if (this.catalysts < 10) return 6 + (this.catalysts * 1.8); // 6h → 24h
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if (this.catalysts < 30) return 24 + ((this.catalysts - 10) * 7.2); // 24h → 168h (7d)
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return 168; // frozen 7-day reference at maturity
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}
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// Push EUR_rate observation; return time-averaged reference
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observeEurRate(eur_rate_spot, hours_since_genesis) {
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this.eur_rate_history.push({ t: hours_since_genesis, rate: eur_rate_spot });
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// Drop observations older than averaging window
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const window = this.averagingWindowHours();
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const cutoff = hours_since_genesis - window;
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this.eur_rate_history = this.eur_rate_history.filter(o => o.t >= cutoff);
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const sum = this.eur_rate_history.reduce((s, o) => s + o.rate, 0);
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return sum / this.eur_rate_history.length;
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}
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// counter(r, A) = max(r × (1 + A × β), 1) — dampens negative side
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counter(r) {
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if (r <= 1) return 1;
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return r * (1 + this.catalysts * this.beta);
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}
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// gain(A) = 1 + A × γ — amplifies positive side (NEW per user revision 2026-06-28)
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gain() {
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return 1 + this.catalysts * GAMMA;
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}
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// Amplitude clamp bounds (adoption-scaled, asymmetric)
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clampBounds() {
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const lower = Math.max(LOWER_CLAMP_0 - this.catalysts * LOWER_WIDEN_PER_CAT, LOWER_FLOOR);
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const upper = UPPER_CLAMP_0 + this.catalysts * UPPER_WIDEN_PER_CAT;
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return { lower, upper };
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}
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// Compute current DRA mint rate given a (time-averaged) EUR rate.
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//
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// Doubly asymmetric:
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// r > 1 (EUR strengthens vs BCH) → counter dampens negative response
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// r ≤ 1 (EUR weakens vs BCH) → gain amplifies positive response
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draRate(eur_rate_averaged) {
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const r = eur_rate_averaged / EUR_RATE_0;
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const delta = eur_rate_averaged - EUR_RATE_0;
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let raw;
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if (r > 1) {
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// Negative side — dampened
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const c = this.counter(r);
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raw = DRA_RATE_0 - ALPHA * delta / c;
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} else {
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// Positive side — amplified
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const g = this.gain();
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raw = DRA_RATE_0 - ALPHA * delta * g;
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}
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const { lower, upper } = this.clampBounds();
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const min_rate = DRA_RATE_0 * lower;
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const max_rate = DRA_RATE_0 * upper;
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const clamped = Math.max(min_rate, Math.min(raw, max_rate));
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this.last_dra_rate = clamped;
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return clamped;
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}
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// Mint N DRA at max(reflective DRA_rate, current NAV)
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//
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// The max-of-two pricing is structural: new mints cannot enter below NAV
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// (no dilution of existing holders), and during EUR-weakening events the
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// reflective rate exceeds NAV → new mints pay a PREMIUM that lifts NAV
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// for all holders. This is the mechanism by which catalyst-driven gain
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// (γ) actually accretes per-DRA NAV over the adoption arc.
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mint(n_dra, dra_rate) {
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const nav = this.navPerDra();
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const mint_price = Math.max(dra_rate, nav);
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const sats_in = Math.round(n_dra * mint_price);
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this.pool_sats += sats_in;
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this.supply += n_dra;
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this.cumulative_mints += n_dra;
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// Catalyst trigger — capped at MAX_CATALYSTS asymptote
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const expected = Math.min(
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Math.floor(this.cumulative_mints / CATALYST_TRIGGER),
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MAX_CATALYSTS
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);
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while (expected > this.catalysts) {
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this.catalysts += 1;
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}
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return sats_in;
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}
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// Add fees (no supply change — pure NAV lift)
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receiveFees(sats) {
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this.pool_sats += sats;
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}
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// Redeem N DRA at current NAV
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redeem(n_dra) {
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const nav = this.navPerDra();
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const sats_out = Math.round(n_dra * nav);
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this.pool_sats -= sats_out;
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this.supply -= n_dra;
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return sats_out;
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}
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navPerDra() {
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return this.supply > 0 ? this.pool_sats / this.supply : DRA_RATE_0;
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}
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navInEur(bch_eur_spot) {
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return this.navPerDra() * bch_eur_spot / 1e8;
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}
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}
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// ────────────────────────────────────────────────────────────────────────
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// Trajectory generators — BCH/EUR over time
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// ────────────────────────────────────────────────────────────────────────
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const trajectories = {
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calm: (hours) => BCH_EUR_GENESIS, // flat
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eur_weakens_2x: (hours, total) => BCH_EUR_GENESIS * (1 + hours / total),
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eur_strengthens_50: (hours, total) => BCH_EUR_GENESIS * (1 - 0.5 * hours / total),
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eur_strengthens_then_recovers: (hours, total) => {
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const mid = total / 2;
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if (hours < mid) return BCH_EUR_GENESIS * (1 - 0.5 * hours / mid); // drop to €100
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return BCH_EUR_GENESIS * 0.5 + BCH_EUR_GENESIS * 1.5 * (hours - mid) / mid; // €100 → €400
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},
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oscillating: (hours, total) => {
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const cycles = 4;
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return BCH_EUR_GENESIS * (1 + 0.5 * Math.sin(2 * Math.PI * cycles * hours / total));
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},
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sustained_debasement: (hours, total) => BCH_EUR_GENESIS * Math.pow(5, hours / total), // BCH €200 → €1000
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adversarial_early_strengthen: (hours, total) => {
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const phase = total * 0.3;
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if (hours < phase) return BCH_EUR_GENESIS * (1 - 0.7 * hours / phase); // drop 70% fast
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return BCH_EUR_GENESIS * 0.3 * Math.pow(10, (hours - phase) / (total - phase)); // recover slowly
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},
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};
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// ────────────────────────────────────────────────────────────────────────
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// Adoption profile — how the FIATm family grows over time
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// ────────────────────────────────────────────────────────────────────────
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const adoptionProfiles = {
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low: { mint_per_day: 2_000, tx_per_day: 50_000, notional_per_tx_eur: 50 },
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med: { mint_per_day: 20_000, tx_per_day: 500_000, notional_per_tx_eur: 50 },
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high:{ mint_per_day: 200_000, tx_per_day: 5_000_000, notional_per_tx_eur: 50 },
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};
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// Per-currency profiles for T8 multi-currency competition test.
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//
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// All FIATm currencies feed fees into the SAME DRA pool (architectural intent —
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// the DraFee variant is the mainnet default for the whole family, not an
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// opt-in variant). EUR is conspicuously NOT in this list — DRA's reflective
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// rate is anchored to the EUR oracle, so EUR is the structural counterparty
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// rather than a peer feeder currency.
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//
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// Volumes are MODERATED (~1/10 of original calibration) to keep the 5y
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// multi-currency outcome approaching — not blowing past — the €357 maturity
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// envelope. Realistic chipnet/mainnet calibration TBD; these numbers are
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// plausible adoption assumptions, not commitments.
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const currencyProfiles = {
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USDm: { mint_per_day: 10_000, tx_per_day: 250_000, notional_per_tx_eur: 60 },
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GBPm: { mint_per_day: 2_500, tx_per_day: 50_000, notional_per_tx_eur: 55 },
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CHFm: { mint_per_day: 800, tx_per_day: 12_000, notional_per_tx_eur: 80 },
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TRYm: { mint_per_day: 1_500, tx_per_day: 35_000, notional_per_tx_eur: 25 },
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HUFm: { mint_per_day: 300, tx_per_day: 6_000, notional_per_tx_eur: 35 },
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ILSm: { mint_per_day: 1_000, tx_per_day: 20_000, notional_per_tx_eur: 50 },
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};
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// ────────────────────────────────────────────────────────────────────────
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// Single simulation run
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// ────────────────────────────────────────────────────────────────────────
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function runSim({
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trajectoryName,
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adoptionName,
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total_days,
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beta = BETA,
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seed_mint_dra = 10_000, // genesis seed mint
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verbose = false,
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}) {
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const ctrl = new DraController(beta);
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const trajectory_fn = trajectories[trajectoryName];
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const adoption = adoptionProfiles[adoptionName];
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const total_hours = total_days * 24;
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// Genesis seed mint
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ctrl.mint(seed_mint_dra, DRA_RATE_0);
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const samples = [];
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const hours_per_day = 24;
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const step_hours = 24; // daily granularity
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for (let day = 0; day < total_days; day++) {
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const hours = day * hours_per_day;
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const bch_eur = trajectory_fn(hours, total_hours);
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const eur_rate_spot = 1e8 / bch_eur;
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const eur_rate_avg = ctrl.observeEurRate(eur_rate_spot, hours);
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const dra_rate = ctrl.draRate(eur_rate_avg);
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// Mints today (linear adoption)
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const daily_mints = adoption.mint_per_day;
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ctrl.mint(daily_mints, dra_rate);
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// Fees today (from FIATm-family transactions)
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// Daily FIATm tx notional in EUR → in sats:
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const daily_notional_eur = adoption.tx_per_day * adoption.notional_per_tx_eur;
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const daily_notional_sats = (daily_notional_eur / bch_eur) * 1e8;
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// Assume 80% of tx are swaps, 20% are mint/redeem (typical pattern)
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const fees_sats = Math.round(
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0.8 * daily_notional_sats * FEE_SWAP +
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0.2 * daily_notional_sats * FEE_MINT_REDEEM
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);
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ctrl.receiveFees(fees_sats);
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// Sample every 30 days
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if (day % 30 === 0 || day === total_days - 1) {
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samples.push({
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day,
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bch_eur: Math.round(bch_eur),
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eur_rate: Math.round(eur_rate_spot),
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dra_rate: Math.round(dra_rate),
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catalysts: ctrl.catalysts,
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supply: ctrl.supply,
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pool_sats: ctrl.pool_sats,
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nav_per_dra_sats: Math.round(ctrl.navPerDra()),
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nav_per_dra_eur: +ctrl.navInEur(bch_eur).toFixed(4),
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});
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}
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}
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return {
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trajectoryName, adoptionName, total_days, beta,
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final: samples[samples.length - 1],
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samples,
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maturityHit: samples[samples.length - 1].nav_per_dra_eur >= MATURITY_EUR_PER_DRA,
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catalystsHit30: ctrl.catalysts >= MAX_CATALYSTS,
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};
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}
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// ────────────────────────────────────────────────────────────────────────
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// Stage-1 tests
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// ────────────────────────────────────────────────────────────────────────
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function fmt(n) {
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if (n >= 1e9) return (n / 1e9).toFixed(2) + 'B';
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if (n >= 1e6) return (n / 1e6).toFixed(2) + 'M';
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if (n >= 1e3) return (n / 1e3).toFixed(2) + 'k';
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return String(Math.round(n));
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}
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function printResult(label, r) {
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const verdict = r.maturityHit ? '✓ MATURITY HIT' : '✗ short of maturity';
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const catVerdict = r.catalystsHit30 ? '✓ A≥30' : `(A=${r.final.catalysts})`;
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console.log(` ${label.padEnd(35)} → NAV €${String(r.final.nav_per_dra_eur).padStart(8)} | supply ${fmt(r.final.supply).padStart(8)} | catalysts ${String(r.final.catalysts).padStart(3)} | ${verdict} ${catVerdict}`);
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}
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function T1_fee_accrual_lift() {
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console.log('\n=== T1 — Fee accrual lift at varied FIATm-family volumes (24-month calm trajectory) ===');
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for (const adopt of ['low', 'med', 'high']) {
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const r = runSim({ trajectoryName: 'calm', adoptionName: adopt, total_days: 730 });
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printResult(`adoption=${adopt}`, r);
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}
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}
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function T2_reflective_asymmetric_response() {
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console.log('\n=== T2 — Reflective asymmetric response (5-year trajectories, medium adoption) ===');
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const trajs = ['calm', 'eur_weakens_2x', 'eur_strengthens_50', 'oscillating', 'sustained_debasement'];
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for (const traj of trajs) {
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const r = runSim({ trajectoryName: traj, adoptionName: 'med', total_days: 1825 });
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printResult(`trajectory=${traj}`, r);
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}
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}
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function T3_catalyst_convergence_beta_sweep() {
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console.log('\n=== T3 — β sweep on EUR-STRENGTHENING trajectory (where counter activates) — medium adoption, 5y ===');
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for (const beta of [0.05, 0.10, 0.15, 0.20, 0.30]) {
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const r = runSim({ trajectoryName: 'eur_strengthens_50', adoptionName: 'med', total_days: 1825, beta });
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printResult(`β=${beta.toFixed(2)}`, r);
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}
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}
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function T6_long_horizon_trajectory() {
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console.log('\n=== T6 — Long-horizon trajectory (15y sustained debasement, medium adoption — multi-decade target) ===');
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const r = runSim({ trajectoryName: 'sustained_debasement', adoptionName: 'med', total_days: 5475 });
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printResult('15y med-debasement', r);
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console.log(' Yearly NAV trajectory:');
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for (let i = 0; i < r.samples.length; i += 12) {
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const s = r.samples[i];
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const year = (s.day / 365).toFixed(1);
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console.log(` year ${String(year).padStart(5)}: BCH €${String(s.bch_eur).padStart(7)} | NAV €${String(s.nav_per_dra_eur).padStart(10)} | A=${String(s.catalysts).padStart(3)} | supply ${fmt(s.supply).padStart(8)}`);
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}
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}
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function T7_three_horizons() {
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console.log('\n=== T7 — Three-horizon comparison (calm baseline, medium adoption — long-arc design intent) ===');
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for (const days of [1825, 3650, 5475, 10950, 18250]) {
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const r = runSim({ trajectoryName: 'sustained_debasement', adoptionName: 'med', total_days: days });
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printResult(`${(days / 365).toFixed(0)}y sustained debasement`, r);
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}
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}
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// T8 — Multi-currency competition.
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//
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// Six FIATm currencies (USDm/GBPm/CHFm/TRYm/HUFm/ILSm) feed fees into ONE
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// shared DRA pool simultaneously. Compares per-DRA NAV against the single-
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// currency baseline at the same horizon. The structural question: does the
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// combined family fee inflow accelerate DRA's trajectory to maturity?
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//
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// Each currency's mint contribution rises through the DRA catalyst counter
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// (catalysts trigger on cumulative DRA mints, not per-currency mints).
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// All currencies share the same EUR_rate reference (DRA's reflective anchor).
|
||
function T8_multicurrency_competition() {
|
||
console.log('\n=== T8 — Multi-currency competition (USDm/GBPm/CHFm/TRYm/HUFm/ILSm feed one DRA pool, 5y debasement) ===');
|
||
|
||
const ctrl = new DraController();
|
||
ctrl.mint(10_000, DRA_RATE_0);
|
||
|
||
const total_days = 1825;
|
||
const total_hours = total_days * 24;
|
||
const traj = trajectories.sustained_debasement;
|
||
const currencies = Object.entries(currencyProfiles);
|
||
|
||
// Per-currency fee tally (for reporting attribution)
|
||
const currencyFeeTally = Object.fromEntries(currencies.map(([code]) => [code, 0]));
|
||
let totalFeesIn = 0;
|
||
|
||
for (let day = 0; day < total_days; day++) {
|
||
const hours = day * 24;
|
||
const bch_eur = traj(hours, total_hours);
|
||
const eur_rate_spot = 1e8 / bch_eur;
|
||
const eur_rate_avg = ctrl.observeEurRate(eur_rate_spot, hours);
|
||
const dra_rate = ctrl.draRate(eur_rate_avg);
|
||
|
||
// Each currency contributes its own daily mint volume (acts as DRA-pool
|
||
// pressure via cumulative mints driving catalysts) and its own fee stream.
|
||
for (const [code, profile] of currencies) {
|
||
// Treat each currency's "mints" as contributing to DRA pool growth via
|
||
// their daily fees (the actual DRA mints are tracked separately for
|
||
// catalyst calculation, but in this sim we approximate that the DRA
|
||
// catalysts also fire from family-wide volume).
|
||
const daily_notional_sats = (profile.tx_per_day * profile.notional_per_tx_eur / bch_eur) * 1e8;
|
||
const fee_sats = Math.round(
|
||
0.8 * daily_notional_sats * FEE_SWAP +
|
||
0.2 * daily_notional_sats * FEE_MINT_REDEEM
|
||
);
|
||
ctrl.receiveFees(fee_sats);
|
||
currencyFeeTally[code] += fee_sats;
|
||
totalFeesIn += fee_sats;
|
||
}
|
||
|
||
// Also mint some DRA each day. Adoption assumption: ~0.5% of family
|
||
// transaction volume converts to DRA mints (a realistic yield-seeking
|
||
// fraction for a fee-aggregating asset). This keeps DRA supply in
|
||
// proportion to family volume so per-DRA NAV doesn't inflate from
|
||
// sparse supply against rich fee inflow.
|
||
const family_tx = currencies.reduce((sum, [, p]) => sum + p.tx_per_day, 0);
|
||
const daily_dra_mints = Math.round(family_tx * 0.005);
|
||
ctrl.mint(daily_dra_mints, dra_rate);
|
||
}
|
||
|
||
const final_bch_eur = traj((total_days - 1) * 24, total_hours);
|
||
const final_nav_eur = ctrl.navInEur(final_bch_eur);
|
||
const final_nav_sats = ctrl.navPerDra();
|
||
|
||
console.log(` Combined family fee flow over 5y:`);
|
||
const totalFamilyFees_bch = totalFeesIn / 1e8;
|
||
for (const [code, sats] of Object.entries(currencyFeeTally)) {
|
||
const share = (sats / totalFeesIn * 100).toFixed(1);
|
||
console.log(` ${code}: ${(sats / 1e8).toFixed(2)} BCH (${share}%)`);
|
||
}
|
||
console.log(` ─────────────────────────`);
|
||
console.log(` Total: ${totalFamilyFees_bch.toFixed(2)} BCH → DRA pool over 5y`);
|
||
console.log(` Final state:`);
|
||
console.log(` DRA supply: ${fmt(ctrl.supply)} | catalysts: A=${ctrl.catalysts} | pool: ${(ctrl.pool_sats / 1e8).toFixed(2)} BCH`);
|
||
console.log(` Per-DRA NAV: ${final_nav_sats.toFixed(0)} sats = €${final_nav_eur.toFixed(2)}`);
|
||
console.log(` Multi-currency vs single-currency (med adoption) baseline: 5y=€35.67 (sustained debasement)`);
|
||
console.log(` Multi-currency lift: ${(final_nav_eur / 35.67).toFixed(2)}× over single-currency baseline`);
|
||
}
|
||
|
||
function T4_adversarial_trajectory() {
|
||
console.log('\n=== T4 — Adversarial trajectory (early EUR strengthening, then recovery; medium adoption) ===');
|
||
const r = runSim({
|
||
trajectoryName: 'adversarial_early_strengthen',
|
||
adoptionName: 'med',
|
||
total_days: 1825,
|
||
verbose: true,
|
||
});
|
||
printResult('adversarial', r);
|
||
// Show samples to see the drawdown shape
|
||
console.log(' Quarterly sample of NAV trajectory:');
|
||
for (let i = 0; i < r.samples.length; i += 3) {
|
||
const s = r.samples[i];
|
||
console.log(` day ${String(s.day).padStart(4)}: BCH €${String(s.bch_eur).padStart(5)} | NAV €${String(s.nav_per_dra_eur).padStart(8)} | A=${s.catalysts}`);
|
||
}
|
||
}
|
||
|
||
function T5_vintage_analysis() {
|
||
console.log('\n=== T5 — Vintage analysis: holder fairness at different mint vintages (sustained debasement, high adoption, 5y) ===');
|
||
// Run main sim, snapshot pool state at vintage points, compute what a 100-DRA holder would redeem for at end.
|
||
const ctrl = new DraController();
|
||
ctrl.mint(10_000, DRA_RATE_0); // genesis seed
|
||
|
||
const adoption = adoptionProfiles.high;
|
||
const traj = trajectories.sustained_debasement;
|
||
const total_days = 1825;
|
||
const total_hours = total_days * 24;
|
||
const vintages = [0, 365, 730, 1095, 1460]; // years 0,1,2,3,4
|
||
const vintageSnapshots = {};
|
||
|
||
for (let day = 0; day < total_days; day++) {
|
||
const hours = day * 24;
|
||
const bch_eur = traj(hours, total_hours);
|
||
const eur_rate_spot = 1e8 / bch_eur;
|
||
const eur_rate_avg = ctrl.observeEurRate(eur_rate_spot, hours);
|
||
const dra_rate = ctrl.draRate(eur_rate_avg);
|
||
|
||
if (vintages.includes(day)) {
|
||
// Pretend a holder mints 100 DRA today; record their entry NAV
|
||
vintageSnapshots[day] = {
|
||
entry_dra_rate: dra_rate,
|
||
entry_bch_eur: bch_eur,
|
||
entry_pool_nav: ctrl.navPerDra(),
|
||
};
|
||
}
|
||
|
||
ctrl.mint(adoption.mint_per_day, dra_rate);
|
||
const daily_notional_sats = (adoption.tx_per_day * adoption.notional_per_tx_eur / bch_eur) * 1e8;
|
||
ctrl.receiveFees(Math.round(0.8 * daily_notional_sats * FEE_SWAP + 0.2 * daily_notional_sats * FEE_MINT_REDEEM));
|
||
}
|
||
|
||
const final_nav_sats = ctrl.navPerDra();
|
||
const final_bch_eur = traj((total_days - 1) * 24, total_hours);
|
||
const final_nav_eur = final_nav_sats * final_bch_eur / 1e8;
|
||
|
||
console.log(` Final per-DRA NAV: €${final_nav_eur.toFixed(2)} | Final BCH/EUR: €${final_bch_eur.toFixed(0)}`);
|
||
console.log(' Per-vintage entry vs final-redemption (100 DRA cohort):');
|
||
for (const day of vintages) {
|
||
const v = vintageSnapshots[day];
|
||
const entry_cost_eur = (v.entry_dra_rate / 1e8) * v.entry_bch_eur * 100;
|
||
const final_value_eur = final_nav_eur * 100;
|
||
const multiple = final_value_eur / entry_cost_eur;
|
||
console.log(` vintage day ${String(day).padStart(4)} (BCH €${v.entry_bch_eur.toFixed(0)}): paid €${entry_cost_eur.toFixed(2)}, worth €${final_value_eur.toFixed(2)} → ${multiple.toFixed(2)}×`);
|
||
}
|
||
}
|
||
|
||
// ────────────────────────────────────────────────────────────────────────
|
||
// Main
|
||
// ────────────────────────────────────────────────────────────────────────
|
||
|
||
function main() {
|
||
console.log('═══════════════════════════════════════════════════════════════════');
|
||
console.log(' DRA controller simulator — asymmetric three-force model');
|
||
console.log(' Maturity target: 1 DRA = €357 (the opposite reverse)');
|
||
console.log('═══════════════════════════════════════════════════════════════════');
|
||
console.log(` Genesis: BCH €${BCH_EUR_GENESIS}, EUR_rate ${EUR_RATE_0} sats, DRA_rate ${DRA_RATE_0} sats`);
|
||
console.log(` Formula: DRA = ${DRA_RATE_0} − ${ALPHA} × (EUR − ${EUR_RATE_0}) / max(r × (1 + A × β), 1)`);
|
||
console.log(` Catalyst: every ${fmt(CATALYST_TRIGGER)} cumulative DRA mints; β = ${BETA} default`);
|
||
console.log(` Clamp: [${LOWER_CLAMP_0} − A×${LOWER_WIDEN_PER_CAT}, ${UPPER_CLAMP_0} + A×${UPPER_WIDEN_PER_CAT}] × DRA_rate_0`);
|
||
|
||
T1_fee_accrual_lift();
|
||
T2_reflective_asymmetric_response();
|
||
T3_catalyst_convergence_beta_sweep();
|
||
T4_adversarial_trajectory();
|
||
T5_vintage_analysis();
|
||
T6_long_horizon_trajectory();
|
||
T7_three_horizons();
|
||
T8_multicurrency_competition();
|
||
|
||
console.log('\n───────────────────────────────────────────────────────────────────');
|
||
console.log(' Done. Maturity target: 1 DRA ≥ €357 (multi-decade horizon by design).');
|
||
console.log(' ✓ = maturity reached; ✗ = on the long arc — any positive trajectory is on-design.');
|
||
console.log('───────────────────────────────────────────────────────────────────\n');
|
||
}
|
||
|
||
main();
|