trader-train
Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
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-train-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-train description Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals allowed-tools Bash Read mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__neural_train argument-hint <lstm|transformer|nbeats> --symbol <TICKER> Train neural prediction models using neural-trader's ML engine. Steps: Ensure neural-trader is available: npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader Train the specified model: npx neural-trader --model lstm --symbol TICKER --confidence 0.95 npx neural-trader --model transformer --symbol TICKER --predict npx neural-trader --model nbeats --symbol TICKER --decompose Review training output: loss curves, validation metrics, prediction accuracy Generate predictions with confidence intervals: npx neural-trader --model MODEL --symbol TICKER --predict --horizon 5d Compare model performance across types: npx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats" Store model results (canonical trading-analysis namespace per ADR-126 Phase 1 — was previously stored to undeclared trading-models ): mcp__plugin_ruflo-core_ruflo__memory_store({ key: "model-MODEL-TICKER-DATE", value: "TRAINING_RESULTS", namespace: "trading-analysis" }) Train SONA on model outcomes: mcp__plugin_ruflo-core_ruflo__neural_train({ patternType: "trading-model", epochs: 10 })
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） |
