four-pillars

Coordinate Four Pillars signals for multi-indicator trading entries.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/S23Web3/Vault --skill four-pillars
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: four-pillars
Source: https://github.com/S23Web3/Vault/tree/main/claude/skills/four-pillars
Command: npx skills add https://github.com/S23Web3/Vault --skill four-pillars

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Four Pillars provides a systematic framework to align multiple indicators for high-probability trading entries, reducing ad hoc decision making.

Core Features & Use Cases

  • Multi-indicator entry grading (A/B/C/R) with tiered risk filters
  • Alignment of price structure (Ripster Cloud), directional bias, momentum (stochastic), and volatility filters
  • Deterministic commission modeling and rebate considerations for backtests
  • Versioned strategy architecture and reference implementations for v3.7.x

Quick Start

Apply the four pillars strategy by loading the v3.7.1 indicators and running it on your chart.

Frequently Asked Questions about four-pillars

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

FAQPage Schema
How do I coordinate multiple indicators for high-probability trading entries?

The Four Pillars strategy aligns Ripster Cloud for price structure, directional bias indicators, stochastic momentum, and volatility filters. This multi-indicator coordination grades entries as A/B/C/R tiers, triggering trades only when conditions across different market regimes meet tiered risk filters.

How do I apply stochastic momentum and Ripster Cloud filters to a backtesting workflow?

You apply stochastic momentum and Ripster Cloud filters to backtesting by loading the v3.7.1 reference indicators onto your chart. The strategy requires deterministic commission settings and rebate considerations modeled in a YAML frontmatter configuration to accurately simulate live trading workflows.

How does entry grading work with multi-indicator alignment systems?

Entry grading assigns A, B, C, or R tiers based on the confluence of price structure, directional bias, momentum, and volatility filters. This tiered risk filter mechanism ensures that trade entries are systematically evaluated across different market regimes before execution.

Do I need deterministic commission settings to run multi-indicator strategy backtests?

Yes, deterministic commission settings are required to run backtests accurately. The strategy architecture mandates modeling commission costs and rebate considerations in a YAML frontmatter configuration to ensure backtest results faithfully reflect live trading workflows.

Can I use this multi-indicator strategy for live trading and backtesting?

Yes, you can use the strategy for both live trading and backtesting workflows. The versioned v3.7.x architecture provides reference implementations that apply price structure, directional bias, momentum, and volatility filters across different market regimes for both environments.

Why does my multi-indicator entry signal trigger fail across different market regimes?

Signal triggers fail when price structure, directional bias, momentum, and volatility filters lack sufficient alignment. The strategy requires multi-indicator coordination to meet tiered risk filter criteria; without this confluence across varying market regimes, entries are systematically blocked.