[#54] Vault: treasury-vulture iteration 4 — wins bond-economy + tight-cash (thin-margins near-miss) #59
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Vault: treasury-and-vulture (issue #54)
Thesis: vault models risk as loss-absorbing capital and acquired-book quality. One world observable — the cushion (
equity / (loan book + 0.5×loan-min)) — drives every decision. Risk is modeled as compound default survival1 − (1 − 1/faces)^termamortized over the live market term (no shared flat die-rank helper). Signature moves: lend into the bond market when the implied return clears compensation for time + default, vulture failed books at a discount it computed itself, hold capital when the cushion runs thin.Full bench (100 games × 13 presets, latest commit
0e727e1)Overall: vault 585/1300 wins (45.0%, top brain), avg final equity 23,805 — empire 502 (38.6%), mill 199 (15.3%), adapt 2. Gauntlet bonus: loan-bond-spec 160/1040. No
[aierrors, no accounting divergences, smoke clean.Vault wins 2 of its 4 scenarios at scale (bond-economy 81/100, tight-cash 58/100) and is a near-miss on thin-margins (40 vs empire 50, with the best in-scenario equity 8.8k vs 5.9k). Base is empire's franchise scenario; vault survives it with healthy equity (7.3k), no collapse.
Journey (iterations.json, base
7f503c4)The brain (ai/vault.lisp)
deposit-rate: follows the cushion — cheapest funder when deep, sheds toward zero when thin.loan-bids: marginal cost + compound default, gated by the book-quality bleed latch (bank-death reset).bond-offers: lend only spare equity (not the deposit base), at the front of the queue when the market clears the time+default floor.bankruptcy-bid: own valuation of the failed book —net × (1 − 0.5 × cum-default(market term)), liquidity-buffered.[#54] Vault: treasury-vulture iteration 3 — wins bond-economy + tight-cashto [#54] Vault: treasury-vulture iteration 4 — wins bond-economy + tight-cash (thin-margins near-miss)