Breakout trading
Skill 0xgetz/xi-agent-skills/trading-skills/breakout-trading
Skills and connected MCP server documentation exported from my agent.
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What its author says it does
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Analyze markets using Breakout Trading (range breakout). Enter on confirmed breaks of consolidation ranges with volume. Activate when the user asks to analyze, interpret, or build signals based on Breakout Trading or range breakout.
SKILL.md
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Breakout Trading
Overview
Breakout Trading (range breakout) — Enter on confirmed breaks of consolidation ranges with volume.
When to use this skill
Use when the user asks to:
- Analyze or interpret Breakout Trading on a chart or dataset
- Build buy/sell signals or alerts based on range breakout
- Combine Breakout Trading with other indicators for confirmation
How it works
Enter on confirmed breaks of consolidation ranges with volume. Apply it on OHLCV data (open, high, low, close, volume) for any timeframe. Always confirm with price structure, trend context, and at least one independent indicator before acting.
Reading the signals
- Bullish bias: signal aligns with higher highs/higher lows and rising volume.
- Bearish bias: signal aligns with lower highs/lower lows and rising volume.
- No-trade: conflicting context or low volatility/volume.
Worked example (Python)
import pandas as pd
# df has columns: open, high, low, close, volume (datetime index)
# Compute the indicator, then generate signals
# (use pandas/numpy or ta libraries; validate on out-of-sample data)
Risk management
- Define stop-loss from structure or ATR before entry.
- Size positions by fixed-fractional risk (e.g. 0.5–1% per trade).
- Never rely on a single indicator; require confluence.
Common pitfalls
- Over-optimizing parameters to past data (curve fitting).
- Ignoring the higher-timeframe trend.
- Acting on signals during low liquidity.
Educational analysis only. Not financial advice.