Technical Analysis

Technical Analysis is a skill from the CLI Trader project that gives trading agents the ability to compute indicators, recognize chart patterns, and evaluate trade setups across stocks and crypto markets. Developed by the CLI Trader team, this skill transforms raw price and volume data into structured trade signals by applying established technical analysis methods. It provides your agent with a systematic framework rather than ad hoc chart reading, ensuring that every analysis follows a consistent and reproducible process.

The skill covers a comprehensive indicator library including RSI, MACD, simple and exponential moving averages, Bollinger Bands, and ATR for volatility measurement. Beyond individual indicators, it teaches chart pattern recognition for formations like double tops, head and shoulders, flags, and wedges, with each pattern evaluated for completion percentage and historical reliability. The multi-timeframe analysis module is where the skill becomes particularly valuable — the agent examines the same asset across daily, 4-hour, and 1-hour charts to check whether trend direction, momentum, and volatility conditions align. All of these inputs feed into a confluence scoring system that produces a single weighted score representing the overall strength of a trade setup, giving you a clear and quantified view of how many independent signals agree.

Within a trading workflow, the agent uses this skill to scan watchlists, identify setups that meet minimum confluence thresholds, and produce structured trade setup outputs that include entry price, stop level, target, risk-reward ratio, and the individual signals contributing to the score. This replaces the manual process of cycling through charts and mentally tallying indicators with a systematic, repeatable analysis that surfaces only the highest-quality setups for your review.

For the complete methodology — including formulas, decision trees, worked examples, and validation checklists — see the full Technical Analysis skill guide.