ruflo-neural-trader

Plugin ruflo-neural-trader from marketplace ruflo in Army161/ruflo. Commands read from the repo's manifest — 1 month ago.

Skills (9)

• trader-backtest

  Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4)

• trader-cloud-backtest

  Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally

• trader-explain

  Regulator-grade feature attribution for any LSTM/Transformer signal — single-entry PageRank ranks the top-K features that drove the prediction (ADR-126 Phase 6, ADR-123 single-entry PR)

• trader-portfolio-cg

  Mean-variance portfolio optimization via Conjugate Gradient — 40-60× faster than the legacy Neumann path (ADR-126 Phase 3, ADR-123 Wedge 8)

• trader-portfolio

  Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan

• trader-regime

  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.

• trader-risk

  Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status

• trader-signal

  Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction

• trader-train

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

Slash commands (1)

• /ruflo-neural-trader:trader

  Neural trading via npx neural-trader — strategies, backtesting, signals, risk, portfolio optimization

Subagents (4)

• backtest-engineer

  Backtesting specialist using npx neural-trader Rust/NAPI engine — walk-forward validation, Monte Carlo simulation, parameter optimization. Orthogonal research lane (ADR-126 Phase 5) — produces signed promotion candidates, NOT a hot-path participant in live execution

• market-analyst

  Market regime detection and technical analysis using npx neural-trader — RSI, MACD, Bollinger Bands, volume profile, regime classification. Pipeline entry point — sends RegimeVerdict to trading-strategist (ADR-126 Phase 5)

• risk-analyst

  Portfolio risk assessment and position sizing using npx neural-trader — VaR/CVaR, Kelly criterion, circuit breakers, correlation monitoring. Pipeline BLOCKING GATE — receives SignalProposal from trading-strategist, returns RiskDecision (ADR-126 Phase 5)

• trading-strategist

  Designs and optimizes neural trading strategies using npx neural-trader — LSTM/Transformer models, Rust/NAPI backtesting, Z-score anomaly detection. Pipeline middle stage — receives RegimeVerdict from market-analyst, sends SignalProposal[] to risk-analyst, gated on RiskDecision approval (ADR-126 Pha

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