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Found 4 Skills
Reference for any XRPL Standard (XLS-N) when implementing or reviewing XRPL protocol features. Trigger on: XLS number (XLS-30, XLS-70), amendment name (AMM, Credentials, MPT, DID, NFToken, Batch, Escrow, Clawback, Firewall, Permissioned DEX), transaction type (AMMCreate, CredentialCreate, NFTokenMint, DelegateSet, PermissionedDomainSet, BatchSubmit), or ledger object name (Credential, AMM, MPToken, Delegate, Oracle, Bridge).
Academic backtesting framework for quantitative research. ~30 risk and performance ratios, 10 classes of indicators, event-driven engine with 6+ strategies, MPT optimizer, forward-looking simulation with Johnson SU + t-Copula, walk-forward CV, stress testing, fundamental analysis (Altman Z, Piotroski, DuPont). All flat Python + numpy.
WeChat Official Account Article Aggregator. Batch fetch the latest article list of specified WeChat Official Account authors via the mptext.top API, download article content and parse it into Markdown/HTML/plain text formats. It supports fetching by official account name or fakeid, and comes with 8 popular AI tech official accounts pre-configured. Applicable scenarios: fetch the latest articles of specified official accounts, batch crawl content from multiple authors, aggregated reading of official account articles, technical information collection. Keywords: official account article acquisition, WeChat article crawling, official account aggregation, article collection, mptext API.
Asset allocation and portfolio optimisation via Longbridge — efficient frontier (MPT), Black-Litterman model overview, risk parity / risk budgeting, all-weather strategy, and practical allocation recommendations based on the user's Longbridge account data. Triggers: "资产配置", "组合优化", "有效前沿", "Black-Litterman", "风险预算", "风险平价", "全天候策略", "大类资产", "資產配置", "組合優化", "有效前沿", "風險預算", "風險平價", "全天候策略", "大類資產", "asset allocation", "portfolio optimization", "efficient frontier", "Black-Litterman", "risk parity", "all-weather strategy", "mean-variance optimization", "strategic allocation".