Classify market conditions as bullish, bearish, ranging, or volatile to guide strategy selection and historical testing. Distinguish synthetic demonstrations from analysis of actual price data, with confidence levels and historical comparisons where available.
中文简介正在准备中。当前显示英语简介。
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. Use when the user asks about market conditions, wants to pick a strategy for current conditions, or before running a backtest/signal that should be regime-aware.
安装前可以查看交给 AI 代理的指令内容。
Detect the current market regime using neural-trader's regime detection engine.
Steps:
npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-tradernpx neural-trader --regime --symbol TICKER
--regime-detect and --symbols are not recognised; the CLI answers "Unknown command"). In 2.8.11 this classifies a built-in sample price series (the result says "Synthetic prices used for demo"), so it is a demo of the output shape, not a read on TICKER. Say so in the report. For a real read, get the symbol's bars with --backtest --live (dataSource: "yahoo-finance") and classify from those.--indicators is rejected). Use the nt.calculateRsi / nt.calculateSma library functions on real bars, or the multi-indicator strategy inside a backtest.mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "indicators: RSI=X, ADX=Y, VIX=Z" })mcp__plugin_ruflo-core_ruflo__memory_search({ query: "regime similar to CURRENT", namespace: "trading-analysis" })mcp__plugin_ruflo-core_ruflo__memory_store({ key: "regime-DATE", value: "REGIME_ANALYSIS", namespace: "trading-analysis" })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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。
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.
中文简介正在准备中。当前显示英语简介。