An intelligent trading agent that evaluates the market across 25 key metrics — from macroeconomic factors and on-chain data to derivatives, liquidity, and contextual technical analysis. Operates via secure API integration and makes decisions based on a comprehensive, multi-layered view of market conditions.
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Decisions are based on aggregated market data, not isolated indicators.
Risk management is embedded directly into the decision logic.
Non-custodial architecture with controlled trade execution.
The agent does not rely on isolated signals or a single indicator. It builds a holistic market view by simultaneously analyzing macro events, on-chain activity, derivatives positioning, liquidity conditions, and price structure. Trades are executed only when multiple key data layers align and confirm each other. This approach allows the system to adapt to different market regimes and avoid context-blind decisions.
The agent continuously reassesses market conditions and adjusts it's behavior based on volatility, liquidity, and participant activity
A multi-layer architecture turns diverse market data into aligned, validated trading decisions.
Interest rates, inflation data and broad market regime are taken into account.
Exchange flows and large wallet activity reveal real participant intent.
Open interest, funding and liquidations expose positioning imbalances.
Order book imbalances and aggressive volumes are analyzed, not just priced.
The market is treated as evolving phases, not isolated candles.
Trades are executed only after confirmation from multiple data layers.
We set out to build not just another trading tool, but an engineered decision-making system. Our focus is on data quality, strict signal validation, and resilience across all market conditions. Only this approach allows us to create a truly reliable, long-term product
CEO and visionary behind Rhine Lab
Our goal is to make the system think in scenarios, not signals. By continuously calibrating models and parameters, we ensure the agent adapts to changing market behavior instead of overfitting to the past.
Lead Synthetic Algorithms & AI Tuning Engineer
The strength of the system comes from seeing the market through millions of data points, not a single metric. We turn raw data streams into a structured picture that enables measured, well-validated decisions
Lead Big Data Analytics Specialist
Leave your email — we’ll send an invite and API onboarding instructions. Access is granted in groups.