Mercury fuses dual-AI reasoning, a real-time market scanner, and an automated algo engine into one platform. Strategies execute through Alpaca — from signal generation to order fill — with institutional-grade risk management at every step.
From automated algo execution to AI-powered analysis — every tool an institutional trader demands, unified in one platform.
Define strategies, set rules, and let Mercury execute automatically through Alpaca. The engine monitors positions, manages entries and exits, and enforces risk limits — 24/7, without emotion.
Claude Opus for deep technical reasoning. Grok for real-time news sentiment. Consensus mode weighs both to surface only high-conviction opportunities and power strategy decisions.
Real-time screening across the entire market. Filter by technical signals, volume breakouts, price patterns, and AI confidence scores to surface opportunities before the crowd.
Conversational AI assistant with live market data injection. Ask about any ticker — get streaming analysis with your portfolio context and active strategy performance baked in.
Detect unusual options activity in real-time. Volume/OI ratios, premium tracking, and smart money flow detection across the entire chain.
Multi-timeframe signals scored by confidence. Entry, target, and stop levels with risk-reward analysis. Feed signals directly into the algo engine for automated execution.
Kelly Criterion, fixed fractional, and volatility-adjusted sizing. Pre-trade risk checks catch rule violations before any order fires — whether manual or automated.
Every trade — manual and automated — is logged with full context. AI reviews identify behavioral patterns, strategy drift, and concrete ways to improve your edge.
Mercury ingests real-time data via Polygon.io — quotes, options chains, news, OHLCV bars. The market scanner filters the entire universe while the technical engine scores 15+ indicators across multiple timeframes.
Claude Opus performs deep technical and fundamental analysis. Grok delivers real-time sentiment scoring. The consensus engine weighs both models to surface the highest-conviction setups and generate actionable trading signals.
Signals feed directly into the algo engine. Strategies execute automatically through Alpaca with position sizing calibrated to your risk tolerance. Every order is risk-checked, logged, and monitored — even while you sleep.
Mercury uses Anthropic's Claude Opus for deep technical and fundamental analysis, and xAI's Grok for real-time news sentiment and social signal processing. The consensus engine combines both models' outputs to produce high-conviction trading signals that can drive automated execution.
Yes. Mercury is a bring-your-own-keys platform. You provide API keys for Anthropic (Claude), xAI (Grok), Polygon.io (market data), and Alpaca (brokerage). This keeps your costs transparent, your data private, and your trading fully in your control.
Yes. Mercury now includes a full algo trading engine that executes through Alpaca. You define strategies with entry rules, exit conditions, and risk parameters — Mercury handles the rest. You can also run in paper-trading mode to test strategies with zero risk before going live.
Mercury currently covers US equities and options via Polygon.io and Alpaca. This includes stocks, ETFs, and the full options chain with real-time quotes, historical data, news sentiment, and automated order execution across all major exchanges.
Your journal entries, portfolio data, strategies, and settings live in your own Supabase instance. Mercury never shares your trading data. AI requests go directly to Anthropic and xAI through your own API keys. Brokerage operations go direct to Alpaca.
You create strategies with specific rules — technical indicators, AI signal thresholds, entry/exit conditions, and position sizing. The engine monitors the market in real-time, executes when conditions are met, manages positions with stop-losses and targets, and logs everything for AI-powered post-trade analysis.
Stop watching screens. Start building strategies backed by dual-AI consensus, automated execution, and institutional risk management.
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