Usage Modes
TradingRazor offers multiple usage modes to accommodate different user types and trading scenarios, providing flexible, efficient, and secure trading support—from strategy generation to full-chain automated execution.
1. Signal Mode
Outputs:
Directional Bias: Provides multi-chain market trend references based on Multi-Model Decision outputs, including short-term microstructure trends, mid-term trends, and long-term regime assessment.
Range Structures: Offers support/resistance ranges, price oscillation intervals, and potential breakout points, enabling quant teams to build range-trading or breakout strategies.
Risk Levels: Evaluates potential risks for different trading pairs or market states using the Volatility & Risk Model and Capital Flow Model, providing quantifiable risk indicators and recommendations.
Execution Parameter Suggestions: Outputs reference values for limit price bands, order-splitting cadence, and order placement density, which can be directly used by downstream strategies or market-making systems.
Applicable Scenarios:
Quant Teams: Quickly access full-chain market states and execution parameter references to support strategy development and backtesting.
Third-Party Strategy Systems: Provide high-quality signal inputs to enhance existing strategy models’ accuracy and adaptability.
Market-Making Systems: Assist in generating order placement strategies and liquidity management parameters to improve market depth and execution efficiency.
2. Delegated Execution Mode
Mode Description: Users set authorized risk boundaries in the system, including maximum position, maximum leverage, and maximum capital usage. TradingRazor then automatically executes trades based on Multi-Model Decision outputs while managing risk throughout.
Key Features:
Full-Chain Automated Execution: Supports order management and capital scheduling across multiple chains and exchanges, achieving low-latency, controlled execution.
Real-Time Risk Management: Continuously monitors market conditions and account risk metrics; automatically triggers position reduction, pause, or strategy exit upon abnormal volatility, capital migration, or liquidation risks to ensure account safety.
Auditing & Traceability: All trading actions, execution parameters, and risk triggers are logged for user and third-party audit, ensuring strategy transparency and verifiability.
Applicable Scenarios: Institutional users, quant funds, market makers, or high-frequency trading teams seeking to directly convert AI decisions into execution capabilities while maintaining risk control and compliance.
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