Deep Research

Pre-trade market analysis synthesizes multi-source data—news, fundamentals, technicals, and signals—to generate structured recommendations. This Skill automates comprehensive research for assets like BTC and AAPL, combining sentiment assessment, ratio analysis, and risk factors into confidence-scored trading insights across multiple time horizons.

Autonomous agents through Gemini Deep Research can collect and cross-source market data, detect patterns, and synthesize findings without manual compilation. The agent handles symbol queries, sector analysis, and risk assessment to produce pre-trade reports with structured recommendations.

Pre-trade deep research identifies risk factors specific to each asset, assigns confidence levels to each finding, and surfaces macro conditions affecting trade decisions. Analysis covers technicals like RSI and MACD, fundamentals like earnings and ratios, and market sentiment signals.

Generate a pre-trade report by querying a symbol through the Gemini Deep Research agent. The output delivers a structured recommendation with confidence scores, multi-horizon trade signals, and identified catalysts or risk factors supporting the recommendation.

Yes. The Skill assesses crypto market sentiment and risk alongside stock fundamentals and technicals. It handles multi-asset queries to evaluate overall market conditions and generate asset-specific pre-trade recommendations within a single analysis.

Pre-trade research pulls from news feeds, fundamental data, technical indicators, and market signals. The Gemini Deep Research integration handles cross-source collection and pattern detection to surface trading catalysts and risk factors in a unified report.