Rank Docs
  • Introduction and Mission
    • Introduction
      • Mission
  • Platform Features
    • Strats: Trustless Strategy Vaults
    • Strat Metadata
      • Parameters
      • Strats Concept
      • Functions
      • Position Data
      • Proportional Stake
      • Performance Tracking & Rankings
      • Fees
      • Types
    • AI-Powered Forward Testing Infrastructure
    • Strat Example 1 (IF Single Condition Execution)
    • Strat Example 2 (AND Multi Condition Execution)
    • Strat Example 3 (OR Multi Condition Execution)
    • Benefits
    • Beyond Copy Trading
    • AI Agents
    • API Integration for Existing Strategies
  • RANK Token and Governance
    • RAN Token Details
      • Minting
      • Token Swap
      • Development
    • Governance & DAO Evolution
    • Conclusion: The Future of Decentralized Trading
  • Team
    • Team
  • Social Links
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  • Risk Analytics
  • Constraint Parameters
  • Algorithmic Strategy Construction
  1. Platform Features

Strat Metadata

PreviousStrats: Trustless Strategy VaultsNextParameters

Last updated 6 days ago

Core Parameters

Each Strat functions as a self-contained trading vault with standardized metadata enabling direct performance comparison across strategies.

Asset Denomination

  • Base Currency: Stablecoin or crypto asset required for deposits (USDT, USDC, ETH, BTC)

  • Settlement Token: Performance calculated and fees distributed in base currency

  • Multi-Asset Support: Strategies can trade across multiple pairs while maintaining single denomination

Temporal Constraints

  • Epoch Duration: 3-month to 3-year deployment cycles chosen at inception

  • Performance Distribution: Automated yield disbursement every 12 months or upon expiration

  • Early Redemption: Subject to lock-up parameters defined by strategy creator

Fee Structure

  • Management Fee: Flat percentage deducted from deposits flowing to platform treasury

  • Performance Fee: Success-based compensation calculated on positive returns

  • No Hidden Costs: All fees explicitly declared in smart contract parameters

Risk Analytics

Trading Characteristics

  • Execution Frequency: Trades per day/week/month indicating strategy turnover

  • Holding Period: Average position duration from entry to exit

  • Win Rate: Percentage of profitable trades versus total executions

  • Risk/Reward Ratio: Average winning trade size relative to average losing trade

Performance Projections

  • Expected Return: Backtested annualized yield based on historical simulations

  • Maximum Drawdown: Largest peak-to-trough decline during testing period

  • Sharpe Ratio: Risk-adjusted return metric accounting for volatility

  • Recovery Period: Average time to recoup from drawdown events

Real-Time Metrics

  • Current NAV: Live net asset value per vault token

  • Annualized Return: Rolling performance extrapolated to yearly basis

  • Active Positions: Current market exposure and directional bias

  • Utilization Rate: Percentage of capital actively deployed

Constraint Parameters

Lock-Up Mechanics

  • Flexible Duration: 0-12 month commitment periods at trader discretion

  • Staggered Redemption: Prevents large simultaneous withdrawals destabilizing strategy

  • Performance Incentive: Longer lock-ups typically correlate with higher expected returns

Leverage Limits

  • Maximum 5x: Protocol-enforced ceiling preventing excessive risk-taking

  • Dynamic Adjustment: Leverage scales with market conditions and volatility

  • Margin Monitoring: Automatic deleveraging before liquidation thresholds

Algorithmic Strategy Construction

AI-Enhanced Backtesting

The platform's proprietary testing infrastructure enables:

  • Multi-Indicator Synthesis: Combining technical signals into cohesive strategies

  • Market Regime Detection: Adapting parameters based on volatility and trend states

  • Walk-Forward Analysis: Out-of-sample validation preventing overfitting

  • Monte Carlo Simulations: Stress-testing strategies across randomized market conditions

Statistical Edge Identification

  • Entry Signal Optimization: Identifying highest probability setups through pattern recognition

  • Cross-Market Correlation: Exploiting inefficiencies between related assets

  • Execution Timing: Minimizing slippage through intelligent order routing

  • Risk-Adjusted Position Sizing: Kelly Criterion implementation for optimal capital deployment

The standardized Strat format transforms opaque fund structures into transparent, comparable investment vehicles—enabling data-driven capital allocation based on verifiable performance rather than marketing narratives.