H20 Docs
  • H20
  • On-chain Token Economy Management
  • Non-Negotiables
  • Getting Started
  • Token Lifecycles & H20 Services
    • Token Lifecycles & H20 Services
      • Pre-Launch Phase
      • Post-Launch Phase
        • Treasury Establishment & Management
        • On-chain OTC
        • Peg Management
        • Buybacks
        • Liquidations
        • Trading
      • Vesting Phase
        • Managing Token Unlocks
      • Consolidating and Maturing Phase
        • Sustainable Self-Custody Market-Making
  • STRATEGIES
    • Auction-based DCA
    • Fixed Grid
    • Recharging Grid
    • Dynamic Spread (Single sided)
    • Dynamic Spread (Double sided)
    • Dynamic Spread (Fast or Slow Exits)
  • Case Studies
    • Profitable Market-making With Correlated Token Pairs
    • Profitable Market-making with Uncorrelated Token Pairs
    • Managing Inflation From Token Vesting
    • Turn Low Volume into High Growth with H20
    • Bootstrap Your Token with H20
    • Bring CEX-Style Trading On-Chain with H20
    • Stabilize Your Token Peg with H20
    • Capture Value from Price Run-Ups with H20
    • Transform Downtrends into Sustainable Liquidity Growth with H20
  • Security & Risk Management
    • Security Model
    • Risk Management
  • Reporting
    • Reporting
      • Example Reports
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  1. Token Lifecycles & H20 Services
  2. Token Lifecycles & H20 Services
  3. Post-Launch Phase

Peg Management

Peg Management: For stablecoin and real world asset issuers - maintain your peg using oracles or by arbitraging against like assets

Dynamic Spread Peg Management: is how the strategy maintains price alignment between correlated assets while capitalizing on temporary inefficiencies. The system uses configurable starting prices and next trade multipliers to establish initial spreads, then employs exponential time-based curves that converge toward the center price. Trade sizes automatically adjust based on spread width, with larger sizes offered at wider spreads early in each auction cycle.

The strategy tracks weighted average costs to ensure profitable rotations while maintaining the peg. Time parameters control how quickly spreads narrow - faster convergence means tighter peg maintenance but more frequent trades, while slower convergence provides better protection during volatility. This approach lets Dynamic Spread maintain price alignment during stable periods while protecting against adverse selection during volatility, all while capturing temporary inefficiencies between correlated assets.

The key innovation is using time-based exponential curves instead of constant spreads, allowing the strategy to adapt to both ranging and trending markets while sustainably maintaining peg relationships between assets.

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Last updated 2 months ago