Agent skill · Data & Analytics

trader-train

Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals

rUv71,307★ · +1,002/wk · 3 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add ruvnet/ruflo --skill trader-train --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Allowed tools: BashReadmcp__plugin_ruflo-core_ruflo__memory_storemcp__plugin_ruflo-core_ruflo__memory_searchmcp__plugin_ruflo-core_ruflo__neural_train
Path: plugins/ruflo-neural-trader/skills/trader-train/SKILL.md
Open the folder on GitHub →
Where it comes from
Source: ruvnet/ruflo
Stars: 67,015 · +629 this week
Language: TypeScript
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

Train neural prediction models using neural-trader's ML engine. Steps: 1. Ensure neural-trader is available: `npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader` 2. Train the specified model: ```bash 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 ``` 3. Review training output: loss curves, validation metrics, prediction accuracy 4. Generate predictions with confidence intervals: ```bash npx neural-trader --model MODEL --symbol TICKER --predict --horizon 5d ``` 5. Compare model performance across types: ```bash npx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats" ``` 6. 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" })` 7. Train SONA on model outcomes: `mcp__plugin_ruflo-core_ruflo__neural_train({ patternType: "trading-model", epochs: 10 })`

What's inside
Commands it runs
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
npx neural-trader --model MODEL --symbol TICKER --predict --horizon 5d
npx neural-trader --model-compare --symbol TICKER --models "lstm,transformer,nbeats"
More from ruflo
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About this skill
What does the trader-train skill do?

Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals

How do I install it?

Run `npx skills add ruvnet/ruflo --skill trader-train --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ruvnet/ruflo, a repository with 67,015 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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