Trader Regime

Skill Verified Active

Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy

Purpose

To provide users with real-time market regime classification and actionable strategy recommendations to inform trading decisions.

Features

Detect current market regime (bull/bear/ranging/volatile)
Classify market regimes using 'neural-trader'
Recommend strategies based on detected regime
Retrieve technical indicators for context
Predict regimes using SONA
Search for similar historical regimes
Store analysis results

Use Cases

Use when needing to understand the current market sentiment to inform trading decisions.
Use when looking for data-driven recommendations on appropriate trading strategies.
Use to augment trading analysis with automated regime classification.

Non-Goals

Providing real-time trading execution.
Acting as a financial advisor.
Predicting exact future market movements.

Workflow

Ensure 'neural-trader' is installed.
Run regime detection for specified symbol(s).
Retrieve technical indicators for context.
Predict regime using SONA.
Search for similar historical regimes.
Present analysis: regime, confidence, strategy, precedents.
Store analysis results.

Prerequisites

Node.js and npm installed
Internet connectivity for 'neural-trader' and MCP services

Installation

First, add the marketplace

/plugin marketplace add ruvnet/ruflo

/plugin install ruflo-neural-trader@ruflo

Quality Score

Verified

100 /100

Analyzed about 17 hours ago

Trust Signals

Last commitabout 19 hours ago

GitHub owner ruvnet

Stars50.2k

Downloads 68.3k

LicenseMIT

Websitecognitum.one

Status

View Source

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