Position trading
Skill 0xgetz/xi-agent-skills/trading-skills/position-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 Position Trading (long-term trend). Hold long-term positions aligned with macro trends. Activate when the user asks to analyze, interpret, or build signals based on Position Trading or long-term trend.
SKILL.md
1.8 KB, 338 tokens by cl100k_base, as published. Nobody here has run it
Position Trading
Overview
Position Trading (long-term trend) — Hold long-term positions aligned with macro trends.
When to use this skill
Use when the user asks to:
- Analyze or interpret Position Trading on a chart or dataset
- Build buy/sell signals or alerts based on long-term trend
- Combine Position Trading with other indicators for confirmation
How it works
Hold long-term positions aligned with macro trends. 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.