Trading Strategy Guidelines

Enforces MACD, RSI, volume-based trading entry and exit rules with position sizing and stop-losses for stocks and ETFs.

38|9|Updated Oct 30, 2025
One-click install
npx skills add https://github.com/IgorGanapolsky/trading --skill trading-strategy-guidelines
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Trading Strategy Guidelines
Source: https://github.com/IgorGanapolsky/trading/tree/main/.claude/skills/trading_strategy_guidelines
Command: npx skills add https://github.com/IgorGanapolsky/trading --skill trading-strategy-guidelines

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill codifies the core trading rules used to govern momentum-based strategies, including entry/exit filters.

Core Features & Use Cases

  • MACD momentum filter: ensure bullish momentum before entry.
  • RSI filters: avoid overbought entries.
  • Volume confirmation: ensure momentum aligns with liquidity.
  • Position sizing rules: tiered allocation and risk per trade.
  • Exit rules: trailing stop and profit targets.
  • Data source priority: cache, primary APIs, then fallback sources.

Quick Start

Apply these guidelines in your strategy module to gate entries and risk.

Frequently Asked Questions about Trading Strategy Guidelines

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

FAQPage Schema
How do I apply MACD and RSI filters to momentum-based trading strategies?

MACD and RSI filters gate entry signals by confirming bullish momentum via MACD crossovers and avoiding overbought conditions with RSI thresholds. These filters reduce false entries in momentum strategies by aligning price action with indicator confirmation before triggering trades.

What are the core entry and exit rules for momentum trading on daily timeframes?

Entry rules require MACD bullish alignment, RSI below overbought levels, and volume confirmation. Exit rules enforce trailing stops and profit targets. Position sizing applies tiered allocation based on portfolio tier and per-trade risk limits across stocks and ETFs.

Can I use these trading rules across different stock and ETF portfolios?

Yes, these guidelines apply to daily stock and ETF trading across Tier 1 Core and Tier 2 Growth portfolios. The rules adapt position sizing and risk controls to each tier's allocation strategy while maintaining consistent entry, exit, and momentum-filter logic.

How do data source priority and fallback sources work in momentum strategies?

Data source priority establishes a chain: cache first, then primary APIs, then fallback sources. This hierarchy ensures consistent indicator calculations and volume confirmation while maintaining strategy resilience if primary data becomes unavailable.

What role does volume confirmation play in momentum-based entries?

Volume confirmation ensures momentum aligns with liquidity, preventing entries on weak price moves lacking trader participation. This filter reduces whipsaw risk and improves entry quality in momentum strategies by validating that MACD and RSI signals have sufficient market support.

Why should I use trailing stops and profit targets instead of fixed exit levels?

Trailing stops and profit targets provide dynamic risk management: trailing stops protect gains while allowing momentum to run, and profit targets lock in returns at predefined levels. Together they balance capital preservation with upside capture in momentum trading.