Bonding Curves and Continuous Tokens: A Deep Dive into Crypto-Economics

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Introduction

While bonding curves aren’t new—originating in 2016–17 from Bancor and Simon de la Rouviere’s work—their applications in continuous crypto-economics remain underexplored. This guide demystifies bonding curves, continuous tokens, and revenue-based models, with real-world examples like FairMint’s digital securities and Truebit’s utility token architecture.


Key Terminologies

1. Bonding Curve

A mathematical function defining the relationship between an asset’s price and its supply. Visually, it’s represented as a continuous curve where price adjusts dynamically with supply changes.

👉 Explore bonding curve mechanics

2. Continuous Tokens

Fungible tokens priced via bonding curves, offering:

3. Bancor Bonding Curve

Derived from the Bancor Formula, this curve uses a fixed reserve weight (F) to maintain a ratio between market cap and reserve balance. Initial parameters:

Example: For S₀ = 1, F = 0.5, the price adjusts sharply with supply changes.

4. Revenue-Based Bonding Curve (RBBC)

Features two curves:

Scalar RBBC: Linear relationship between curves (e.g., Truebit’s M2B ratio of 8).


Applications

1. Securities (FairMint)

👉 Learn how FairMint leverages RBBCs

2. Utility Tokens (Truebit)


FAQ

Q1: How does a bonding curve ensure liquidity?
A: Collateral reserves back instant liquidation, eliminating reliance on external liquidity providers.

Q2: Can token supply be capped?
A: Yes. While most bonding curves assume limitless supply, bounded intervals are possible.

Q3: What’s the difference between Bancor and RBBCs?
A: Bancor uses a single curve; RBBCs separate minting/burning for revenue generation.


Conclusion

Bonding curves power automated, transparent markets—from securities to utility tokens. As crypto-economics evolve, expect more innovations like FairMint’s CAFEs and Truebit’s scalar RBBCs.

Further Reading:


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