Assess investment risk from supplied daily returns, summarize potential losses and drawdowns, estimate position sizes from backtest results, and review trading halt conditions. Save the assessment for later reference, with assumptions clearly stated.
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Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status
安装前可以查看交给 AI 代理的指令内容。
Assess portfolio and position risk using neural-trader's risk engine.
Steps:
npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader# VaR, CVaR and drawdown from a returns series YOU supply (daily returns as decimals)
npx neural-trader --risk assess --returns 0.01,-0.005,0.012,-0.02 --portfolio-value 100000 --confidence-level 0.95 --method historical
--risk assess computes from --returns only. --symbol and --portfolio are ignored, and with no --returns it uses a built-in 7-value sample (inputs.returnsCount: 7), which is a demo, not a risk read on anything. Derive the returns from real bars first (a --backtest --live run with dataSource: "yahoo-finance", or the user's own history). --var, --correlation, --risk-tolerance and --position-sizing as standalone flags are rejected by the CLI ("Unknown command").--backtest ... --position-sizing kelly). For a standalone figure, compute it from the win rate and payoff in the backtest output and state the assumptions; do not present it as an instruction to trade.mcp__plugin_ruflo-core_ruflo__memory_store({ key: "risk-TICKER-DATE", value: "RISK_METRICS", namespace: "trading-risk" })还没有评价。欢迎分享你的使用感受。
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Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.
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Create an Architecture Decision Record, a document for recording important design choices, with the next sequential number. It generates a Markdown template, registers the record in AgentDB, and links related decisions found through search.
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Build a searchable index and relationship graph from ADRs, records of architectural decisions. Import two supported document formats, refresh existing metadata without duplicate relationships, and review summaries of statuses, missing references, and inconsistencies.
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Rebuild the index of ADRs, records of architectural decisions, after files or relationship lines are deleted. It clears stored records and relationships, indexes the files still present, and checks that the final record count matches.
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Review code changes against accepted Architecture Decision Records, documents that capture agreed design choices. Report violations, outdated references, compliant changes, and areas without ADR coverage, then suggest code fixes or a new decision record where appropriate.
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Check saved architecture decision records (ADRs) for broken references, circular replacement relationships, and inconsistent statuses. Use the results to verify imported records or stop a CI check when selected integrity rules fail.
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