Fundamental Analysis

Fundamental Analysis is a skill from the CLI Trader project that teaches trading agents how to evaluate the intrinsic value of assets across both traditional equity markets and crypto. Developed by the CLI Trader team, this skill provides the analytical foundation for understanding whether an asset is fairly valued, undervalued, or overvalued relative to its fundamentals and the broader economic environment. It gives your agent a structured valuation toolkit that adapts its approach based on asset type, applying established financial analysis to equities and an emerging but rigorous framework to crypto tokens and protocols.

The equity analysis module covers core valuation ratios — P/E, P/S, EV/EBITDA, and PEG — alongside discounted cash flow modeling that the agent can build from earnings estimates, growth assumptions, and discount rates you provide or that it derives from market data. The agent applies relative valuation by comparing a stock against its sector peers and historical trading ranges, identifying where current multiples sit within their distribution. For crypto assets, the skill shifts to tokenomics analysis: supply schedules and inflation rates, protocol revenue and fee generation, active user and transaction volume trends, developer activity measured through GitHub commits and contributor counts, and total value locked as a proxy for protocol adoption. The macro context module ties both equity and crypto analysis to the broader economic environment — interest rate trajectories, inflation data, USD strength, and liquidity conditions — because no asset trades in isolation from the monetary environment. Sector analysis and earnings evaluation round out the equity side, teaching the agent to assess industry positioning, competitive dynamics, and earnings quality beyond headline numbers.

In a trading workflow, this skill provides the valuation context that complements technical analysis signals. When your agent identifies a technically attractive setup, the fundamental analysis skill evaluates whether the underlying asset supports the trade thesis — a bullish breakout on a stock with deteriorating fundamentals and a sector headwind carries different odds than the same pattern on an undervalued name with accelerating earnings. For crypto, the agent evaluates whether protocol metrics justify current token prices or whether valuation has detached from usage reality. This dual-lens approach ensures that trade decisions account for both price dynamics and underlying value.

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