The new standard in AI-powered financial analysis. Experience the best trading insights with real-time data and customized technical strategies.
Just ask a question and get financial statements, consensus, news, and chart analysis all at once. No complex queries needed — AI delivers institutional-grade answers from a simple conversation.
Execute academically validated screening strategies like CANSLIM, VCP, and PEAD in one click. With macro regime analysis and institutional flow tracking — detect structural market shifts faster than anyone.
Global macro dashboard, market health indicators, news database, and disclosure monitoring — all in one platform. Consolidate fragmented information to secure the full context needed for decision-making in real time.
Both maintain strong margins, with MSFT slightly ahead driven by cloud.
| AAPL | MSFT |
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Ask in natural language and get comprehensive answers combining financial statements, consensus, news, and technical analysis. Multi-turn conversations remember prior context, generating data grids and chart visualizations in real time.
Data extracted directly from DART filings, SEC filings, and brokerage reports, cross-validated through a multi-stage verification pipeline. Financial statements, consensus estimates, price action, flow, and macro data for 3,000+ listed companies — delivered with institutional-grade accuracy.
AI automatically maps support/resistance zones, trend lines, and liquidity areas on professional TradingView-based charts. From pattern recognition and momentum analysis to micro-structure inflection point detection — transforming how you read charts.
Cross-references analyst reports, regulatory filings, earnings calls, and real-time news flows to construct evidence-based insights. Integrates proven strategy screeners (CANSLIM, VCP, PEAD), macro regime analysis, and institutional flow tracking in one platform.
Domain-specialized AI agents perform parallel analysis across financial fundamentals, technical analysis, and market sentiment. Cross-validates results from each agent to resolve contradictions and derive coherent investment theses. Delivers institutional-grade analytical quality beyond the limits of a single LLM.
Finance Benchmark — Normalized Score (0-1) · LLM-as-Judge (GPT-based, 0-5)
* LLM-as-Judge methodology: GPT evaluates each response on accuracy, freshness, precision, and cross-source validation on a 0-5 scale, normalized to 0-1. Same prompt · same data · same evaluation criteria applied.
Evaluation framework reference: "Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings" (Jiang et al., 2026) — Joint research by Yale University & Goldman Sachs. A financial LLM benchmark based on SEC filings, evaluating three analytical pathways: single-document reasoning, cross-entity comparison, and longitudinal tracking. arXiv:2602.07294
Unlike general-purpose LLMs, Treasurer A7Z operates as a multi-agent pipeline specialized for financial analysis.
Sourced directly from primary filings and validated through a multi-stage pipeline to ensure institutional-grade accuracy.
Designed to make AI-powered trading strategies accessible and easy for everyone.
Designed for traders who want to execute and share more strategies in real trading.
The new standard in AI-powered financial analysis. Experience the best trading insights with real-time data and customized technical strategies.