Economic Projections
The figures below model how TRAY price, market cap, and network usage could evolve depending on adoption speed. They are illustrative scenarios, not guarantees — actual results depend on validator onboarding, enterprise adoption of the oracle, and broader market conditions. All three scenarios share the same tokenomics rules described in TRAY Tokenomics: fixed 1B supply, 20% fee burn, and 32,000 TRAY minimum validator stake.
Methodology
Each scenario applies the same pricing model — P(TRAY) = (Demand × Utility) / Deflationary Supply — with different assumptions for gas demand, enterprise data-query revenue, and validator onboarding pace. The base scenario matches the Year 1 / Year 3 / Year 5 figures in the original tokenomics model; conservative and optimistic scenarios scale demand growth down or up by roughly 3–4x while keeping the burn mechanics fixed.
Year 1 (2026–2027)
- Annual gas demand
- $3M
- Circulating supply
- ~950M TRAY
- Theoretical price
- ~$0.004
- Market cap
- ~$3.8M
- Annual gas demand
- $10M
- Circulating supply
- ~800M TRAY
- Theoretical price
- ~$0.0125
- Market cap
- ~$10M
- Annual gas demand
- $35M
- Circulating supply
- ~700M TRAY
- Theoretical price
- ~$0.05
- Market cap
- ~$35M
Year 3 (2028–2029)
- Gas + query demand
- $150M/yr
- Circulating supply
- ~650M TRAY
- Theoretical price
- ~$0.35
- Market cap
- ~$230M
- Gas + query demand
- $700M/yr
- Circulating supply
- ~500M TRAY
- Theoretical price
- ~$1.40
- Market cap
- ~$700M
- Gas + query demand
- $2.5B/yr
- Circulating supply
- ~420M TRAY
- Theoretical price
- ~$5.95
- Market cap
- ~$2.5B
Year 5 (2030–2031)
- Gas + query demand
- $600M/yr
- Circulating supply
- ~400M TRAY
- Theoretical price
- ~$1.50
- Market cap
- ~$600M
- Gas + query demand
- $3B/yr
- Circulating supply
- ~250M TRAY
- Theoretical price
- ~$12
- Market cap
- ~$3B
- Gas + query demand
- $9B/yr
- Circulating supply
- ~180M TRAY
- Theoretical price
- ~$50
- Market cap
- ~$9B
Validator & network growth
Validator onboarding and network TVL are the leading indicators for which scenario materializes — more validators mean more stake securing the network, and higher TVL signals real enterprise usage of the oracle rather than speculative activity alone.
Projected validator count and network TVL under the base-case roadmap (see Running a Validator and the whitepaper roadmap). Figures are illustrative targets, not guarantees.
Key drivers to watch
- Validator onboarding pace — each new validator locks a minimum of 32,000 TRAY, directly reducing liquid supply.
- Enterprise query volume — government audits and corporate data-verification contracts (see Utility) drive the highest-value burn events, since large one-off queries (e.g. a full government procurement audit) can burn tens of thousands of TRAY in a single transaction.
- Fee burn rate governance — the DAO can vote to adjust the 20% burn rate; a higher rate accelerates deflation at the cost of validator/treasury revenue share.
- Regional expansion — each new compliance region (see the whitepaper roadmap) unlocks a new class of government and audit-firm customers.