trading-skills

Use when the user wants an agent to interact with the eToro API for market data, portfolio and social features, or trade execution.

Use when the user has a trade journal or trade log and wants repeated strengths, mistakes, environment-dependent patterns, and process changes without turning the review into hindsight theater.

Use when the user needs a conservative position size from account equity, risk budget, entry, stop, and trading friction before entering a trade.

Use when the user wants to test whether a proposed entry, stop, and target structure is coherent, asymmetric enough, and vulnerable to obvious failure modes before the trade is placed.

Build a ranked map of the catalysts that could move a watchlist, theme, or portfolio by showing what matters, when it matters, and how those events could transmit across related names or exposures.

Review a watchlist and rank which names deserve active attention, background monitoring, or removal based on catalysts, tradability, redundancy, and evidence quality for the user's style and timeframe.

Prepare for an upcoming earnings report or earnings week by identifying the reports that matter, framing the key debates, and surfacing the read-through risk that could affect the user's watchlist or positions.

Prepare for upcoming macro catalysts by identifying the events that matter, mapping the likely transmission channels, and surfacing timing risk for the user's markets or positions.

Analyze current market context through trend, volatility, breadth, and event backdrop so the user can choose tactics that fit the environment without relying on black-box regime claims.

Review an open position and decide whether to hold, trim, tighten risk, close, or wait by comparing current behavior against the original thesis, invalidation logic, catalyst calendar, and execution constraints.

Guide a disciplined post-trade review across thesis quality, setup quality, execution, adherence, mistakes, and lessons without turning the result into hindsight theater.

Identify the most important missing facts, assumptions, and unresolved questions that should be answered before a trade or investment idea is trusted, sized, or acted on.

Pressure-test a trade or investment thesis by clarifying the core claim, evidence, invalidation, timeframe, and dependency chain before the user turns it into an entry, stop, or size.

Review whether a trade plan is operationally executable by checking order type logic, liquidity and spread risk, event timing, stop realism, and whether the user can actually implement the plan cleanly.

Evaluate whether a portfolio, account, or planned position is too dependent on a small number of issuers, sectors, themes, or correlated exposures before the user adds or holds more risk.

Orchestrate a disciplined earnings-event workflow by deciding which names deserve prep, mapping the key debates and read-through paths, pressure-testing the thesis and structure, and ending with a clear pre-earnings hold, avoid, or trade decision.

Orchestrate a whole-book risk review by checking concentration, correlated exposure, catalyst clustering, market-context sensitivity, and live-position fragility before the user adds, holds, or reduces portfolio risk.

Orchestrate a disciplined post-trade workflow by reconstructing the original plan, reviewing execution and rule adherence, and deciding whether the lesson is trade-specific or part of a larger repeatable pattern.

Orchestrate a disciplined pre-trade workflow by routing a watchlist or trade idea through the minimum set of underlying skills needed to decide whether the trade is ready, not ready, or should be resized or reworked first.