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#trading
trader-signal
Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=ruvnet-ruflo-plugins-ruflo-neural-trader-skills-trader-signal-skill-md&format=skill
下载 .skill
标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name trader-signal description Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction allowed-tools Bash Read mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_retrieve mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_delete mcp__plugin_ruflo-core_ruflo__neural_predict mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search argument-hint [--strategy NAME] [--symbols AAPL,MSFT] Generate trading signals using neural-trader's anomaly detection engine. Steps: Ensure neural-trader is available: npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader Scan for signals: npx neural-trader --signal scan --symbols <TICKERS> With a specific strategy: npx neural-trader --signal scan --strategy <name> --symbols <TICKERS> If --strategy specified, load strategy filters: mcp__plugin_ruflo-core_ruflo__memory_retrieve({ key: "strategy-NAME", namespace: "trading-strategies" }) neural-trader classifies anomalies automatically: spike (maxZ > 5): breakout — momentum entry or mean-reversion fade drift (sustained high Z): trend forming — trend-following signal flatline (low Z): consolidation — prepare for breakout oscillation (alternating): range-bound — mean-reversion at extremes pattern-break (multiple dims): regime change — close and reassess cluster-outlier (>50% dims): multi-factor dislocation — arbitrage Use SONA for regime prediction: mcp__plugin_ruflo-core_ruflo__neural_predict({ input: "anomaly types: [DETECTED], scores: [SCORES]" }) Search historical pattern matches: mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search({ query: "ANOMALY_TYPE score RANGE", namespace: "trading-signals" }) Present ranked signals: instrument, direction, confidence, anomaly type, entry/stop/target Store signals with a 24-hour TTL (intraday signals shouldn't pollute long-running memory; the MemoryConsolidator.sweepExpired() pass introduced in ADR-125 Phase 4 — shipped in @claude-flow/memory@3.0.0-alpha.18 — sweeps them out after they expire): mcp__plugin_ruflo-core_ruflo__memory_store({ key: "signal-TIMESTAMP", value: "SIGNALS_JSON", namespace: "trading-signals", expiresAt: Date.now() + 24 * 60 * 60 * 1000 })
Agent 识别该技能的关键词,点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识(skill/v1) |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类(数组) |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接(本页地址) |
| exported_at | 导出时间(每次下载生成) |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数:provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明(Coze / Dify / Claude / 自定义框架) |