Add asset-management (Finance & Fintech)

Adds asset-management to Finance & Fintech: 

A local, read-only MCP server over your own stock/ETF transaction log. A deterministic core computes drawdown-first risk (max drawdown, Ulcer, CDaR, Sharpe/Sortino/Calmar) with bootstrap CIs and walk-forward verdicts that say "inconclusive" when evidence is thin — reconciled to the cent against a real broker export.

The AI is kept off the numbers in two layers, with different (and honestly-scoped) guarantees:

- MCP server (this listing): the model calls read-only tools that return core-computed figures; it's instructed to report those and never compute its own, and a portfolio://guarantees resource states the contract. Provision + instruction — not a mechanical block, since the chat client isn't ours.
- CLI narration (optional): a by-construction fence — the model writes only {{token}} placeholders, a renderer substitutes validated figures, and one model-typed digit voids the whole note. Here the model literally cannot emit a number.
Python 3.12 / uv, stdio, AGPL-3.0.

README.md

@@ -1657,6 +1657,7 @@ Provides direct access to local file systems with configurable permissions. Enab
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+- [disin7c9/asset-management](https://github.com/disin7c9/asset-management) [![disin7c9/asset-management MCP server](https://glama.ai/mcp/servers/disin7c9/asset-management/badges/score.svg)](https://glama.ai/mcp/servers/disin7c9/asset-management) 🐍 🏠 🪟 🐧 - Read-only, offline analysis of your own stock/ETF transaction log — drawdown-first risk with bootstrap confidence intervals and walk-forward verdicts, computed by a validated deterministic core and served to the model as read-only tools it reports rather than recomputes; publishes a `portfolio://guarantees` trust manifest.
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