Build your AI driven hedge fund on top of live MOEX intelligence.
AEGIS turns market data, news, macro context, and technical structure into subscription-grade trading signals, portfolio decisions, and autonomous sandbox experiments.
Signals, portfolios, and experiments in one operating layer.
Actionable signal feed
Receive ranked entries, exits, stops, targets, confidence, and time horizon for liquid MOEX equities.
AI portfolio builder
Let the CIO agent assemble a watchlist or a full target portfolio from your budget and constraints.
Autonomous sandbox trader
Test how an AI fund behaves when it can allocate cash, open positions, close risk, and report P&L.
Strategy lab
Experiment with universes, horizons, risk profiles, and agent assumptions before committing to a workflow.
Give the AI a balance and watch the fund process run.
The sandbox is built for learning and validation: AEGIS forms a portfolio, places virtual orders, tracks P&L, compares baselines, and records every decision.
A practical path from alerts to an AI fund workflow.
AEGIS is not a static signal board. It is a staged environment for receiving ideas, validating strategy behavior, and building a disciplined AI trading process.
Subscribe to ranked signals
Start with clean entry and exit intelligence: confidence, stop, target, horizon, and agent rationale.
Validate behavior in sandbox
Let AEGIS allocate virtual capital, place orders, rebalance, and expose the risk profile before you trust a strategy.
Shape your fund process
Tune universes, constraints, risk appetite, and decision cadence into a repeatable AI-driven operating model.
Choose how close you want to get to an AI fund.
Subscriptions are designed for staged adoption: start with signals, validate in sandbox, then shape a private workflow.
For traders who want curated ideas and alerts.
For builders validating AI-driven strategies.
For teams building an internal AI hedge fund workflow.