哈哈哈 I’m not kidding. I really distilled my technical analysis methodology for @方外之域 into a Skill, called “Guanlan Market Map”.
I put it on GitHub. You can install it to your Agent with one click:
python3 "${CODEX_HOME:-$HOME/.codex}/skills/.system/skill-installer/scripts/install-skill-from-github.py" --repo a18604585304-hub/guanlan-market-map --path skills/guanlan-market-map
After installing, you can do things like:
Analyze liquid markets such as BTC, ETH, US stocks, and indices
Receive candlestick (K-line) screenshots, OHLCV data, indicator values, or “asset + timeframe”
Use MA50/MA200 to determine bull, bear, or ranging environments
Use MACD to judge momentum increasing/decreasing and divergences
Use TD sequences to tell whether the trend is entering an exhaustion area
Use Bollinger Bands to assess squeezes, breakouts, trend-following along the bands, and mean reversion
Integrate and output three paths: long, short, and neutral
Provide trigger conditions, confirmation signals, invalidation points, and risk control
Identify common pitfalls like “TD⑨ instant reversal” and “short when touching the upper band”
If you install it, you can also try:
Use $guanlan-market-map to analyze the current BTC daily and weekly charts, determine the market environment, and give me a long/short scenario map.
Use $guanlan-market-map to analyze this chart. First judge the trend environment, then look at momentum, exhaustion, and volatility.
Of course, maybe what I made isn’t exactly professional—my analysis results are for reference only. In essence, it’s like you hired a free analyst who keeps helping you analyze the market whenever you need it.
I put it on GitHub. You can install it to your Agent with one click:
python3 "${CODEX_HOME:-$HOME/.codex}/skills/.system/skill-installer/scripts/install-skill-from-github.py" --repo a18604585304-hub/guanlan-market-map --path skills/guanlan-market-map
After installing, you can do things like:
Analyze liquid markets such as BTC, ETH, US stocks, and indices
Receive candlestick (K-line) screenshots, OHLCV data, indicator values, or “asset + timeframe”
Use MA50/MA200 to determine bull, bear, or ranging environments
Use MACD to judge momentum increasing/decreasing and divergences
Use TD sequences to tell whether the trend is entering an exhaustion area
Use Bollinger Bands to assess squeezes, breakouts, trend-following along the bands, and mean reversion
Integrate and output three paths: long, short, and neutral
Provide trigger conditions, confirmation signals, invalidation points, and risk control
Identify common pitfalls like “TD⑨ instant reversal” and “short when touching the upper band”
If you install it, you can also try:
Use $guanlan-market-map to analyze the current BTC daily and weekly charts, determine the market environment, and give me a long/short scenario map.
Use $guanlan-market-map to analyze this chart. First judge the trend environment, then look at momentum, exhaustion, and volatility.
Of course, maybe what I made isn’t exactly professional—my analysis results are for reference only. In essence, it’s like you hired a free analyst who keeps helping you analyze the market whenever you need it.