Five Minds. One Conviction.Next-Gen Financial Intelligence.
FreeRide is a live AI financial intelligence system, bringing research, risk control, and execution into one decision framework.
Specialized agents read the market continuously. The Coordinator sets direction and leverage. The risk engine clears the trade. The execution engine executes automatically.
Research, risk, and records before execution
Freeride is a fully automated trading system: research first, risk second, execution last.
Independent research inputs
Specialized agents form separate views before the committee produces a trade judgment.
Macro, technical, flow, sentiment, and on-chain signals remain attributable.
Risk rules first
Sizing, leverage, and exposure are defined before any trade is placed.
Automation stays inside predefined limits.
Persistent decision record
Each major trade keeps its thesis, constraints, and outcome attached.
Records support audit, review, and model discipline.
Different risk profiles, different trading styles
The same committee can run with different turnover, exposure, and drawdown tolerance.
Active strategy
Faster trading cadence and broader opportunity sets for users who accept volatility.
Defensive strategy
Lower leverage, tighter exposure, and steadier pacing for users who prioritize drawdown control.
Adaptive execution
The system adjusts pace, position sizing, and trading intensity as market conditions and risk settings change.
Full automation, clear boundaries
Freeride trades automatically once enabled, while risk limits, withdrawal authority, and records remain explicit.
Set the operating scope
You choose the capital range and risk settings that govern the system.
Risk before execution
Orders are filtered through sizing, leverage, liquidity, and exposure controls.
Pause when needed
You can stop new trading activity or tighten limits at any time.
Reviewable history
The committee thesis, agent actions, and outcomes remain available for inspection.
Advancing frontier research in financial AI
Freeride is built alongside ongoing work in financial AI, with research focused on improving algorithms, agent design, and the quality of machine-led decision making.
STAR Analyst: Self-Tuning Alpha Research
STAR studies how an alpha researcher can evolve while fixed validation and test boundaries preserve evaluation integrity.
Start now. Let the system trade inside your rules.
Set the limits. Freeride handles the loop.