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ScientiaCapital
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trading-signals

Fuse Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading for regime-aware confluence signals.

28|3|Updated Dec 10, 2025
Search Tags:#multi-model#confluence#trading#technical-analysis#regime-detection#llm-routing
One-click install
npx skills add https://github.com/ScientiaCapital/skills --skill trading-signals-scientiacapital
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trading-signals
Source: https://github.com/ScientiaCapital/skills/tree/main/active/trading-signals-skill
Command: npx skills add https://github.com/ScientiaCapital/skills --skill trading-signals-scientiacapital

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Traders often rely on a single methodology for signals, which can miss confluence and regime context. This Skill unifies Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading into a regime-aware confluence framework that routes reasoning to cost-effective models, enabling robust decision making.

Core Features & Use Cases

  • Confluence-driven signal generation across multiple methodologies to identify high-probability setups.
  • Regime detection using Markov Regime to adapt strategies for trending, ranging, and volatile markets.
  • Cost-optimized orchestration combining chart analysis, narrative reasoning, and data processing to reduce model spend.
  • Use Case: Build swing/trend strategies that blend chart patterns with regime awareness to decide entry/exit with calibrated risk.

Quick Start

Provide a practical, end-to-end confluence analysis workflow for a given market dataset.

Frequently Asked Questions about trading-signals

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate confluence-driven technical trading signals across different market regimes?▼

Confluence-driven technical trading signals are generated by fusing Elliott Wave, Wyckoff, Fibonacci, Markov Regime, and Turtle Trading patterns to identify high-probability setups across trending, ranging, and volatile markets.

What is multi-model LLM routing for cost-aware technical analysis?▼

Multi-model LLM routing for technical analysis orchestrates chart analysis, narrative reasoning, and data processing across cost-effective models to reduce model spend while generating robust confluence-based trading decisions.

How do I detect market regimes for trend and range trading strategies?▼

Market regime detection for trading strategies applies Markov Regime models to classify current market conditions as trending, ranging, or volatile, enabling adaptive confluence-weighted entry and exit decisions.

Can I combine Elliott Wave and Wyckoff analysis with Fibonacci retracements in a single workflow?▼

Yes, combining Elliott Wave and Wyckoff analysis with Fibonacci retracements in a single workflow produces regime-aware confluence scores that calibrate risk and validate high-probability swing trading setups.

Does this confluence framework require specific chart data formats to run regime detection?▼

The confluence framework operates on practical end-to-end market datasets for chart analysis, applying regime-weighted scoring without requiring specific external dependencies or predefined chart data formats.

When should I avoid using multi-method confluence scoring for trading signals?▼

Multi-method confluence scoring may be less effective when market datasets lack sufficient historical depth for Markov Regime classification, limiting the accuracy of regime detection and subsequent weighted trading signals.

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