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.
B2B AX for asset managers and insurers. Compliance gate, P&L attribution, regulator inspection prep, K-ICS reporting — stop buying them piecemeal. Get them as one desk.
The new standard in AI-powered financial analysis. Experience the best trading insights with real-time data and customized technical strategies.