Reserve Growth Simulator
How the model works
This simulator projects RSR’s fundamental value using discounted cash flow (DCF) — the same approach used to value stocks and businesses. It runs 10,000 independent 10-year futures from your assumptions and shows the full distribution of outcomes, not a single prediction.
Three-pass simulation
Each simulated path runs in three passes:
- TVL & revenue (forward, 20 years) — Grow TVL along an S-curve, compute revenue from the fee schedule. This pass is entirely independent of price. The model always simulates at least 20 years internally so the DCF has a long runway, even though only 10 years are displayed.
- DCF valuation (backward) — Starting from year 20, apply a terminal multiple to the final year’s revenue, then discount all future cash flows backward to compute market cap at each year. By year 20 the S-curve has typically saturated, so the terminal value represents a truly mature protocol rather than dominating the valuation.
- Price & supply (forward, 10 years) — Divide market cap by circulating supply to get the token price. Platform fees buy and burn RSR at this price, reducing supply. Burns are capped at 2% of circulating supply per year to reflect real-world liquidity constraints — you can’t buy the entire float without massive slippage.
S-curve adoption
Reserve has two product lines, each with its own adoption speed and market ceiling (TAM): Index DTFs (on-chain ETFs) and Yield DTFs (collateralised yield vaults). Each grows along an S-curve — fast early adoption that naturally decelerates as TVL approaches the ceiling. For reference, the global ETF market is ~$15T; the TAM sliders represent Reserve’s share of this.
Adoption speed is protocol-specific — it represents product strength, independent of market conditions. The market regime only affects noise: volatility and the probability of sharp drawdowns. A bear market doesn’t stop growth — it makes the path bumpier and riskier.
Market regimes
Each path starts in a bull, neutral, or bear regime based on your sentiment slider. Every year the regime can shift via a Markov chain — bull markets last ~2 years on average, bear markets ~1.8 years. Regimes affect volatility, collapse probability, and collateral yields. They do not affect the base adoption rate. Parameters are calibrated from real DeFi TVL histories (Aave, MakerDAO, Lido, 2020-2025).
Revenue
Revenue is deterministic given TVL — no random fee draws. Index DTF fees come from a management fee on TVL plus a mint fee on new deposits; the platform takes a cut (burned as RSR) and governance stakers receive a share. Yield DTF revenue comes from collateral yield (varies by regime), split between platform fees (burned) and staking rewards to RSR holders.
Burns & supply
Platform fees from both Index and Yield DTFs are used to buy and permanently burn RSR. Because market cap is set by the DCF (independent of token count), burning tokens increases each remaining token’s share of that value. Annual burns are capped at 2% of circulating supply to model real liquidity constraints. Token emissions are currently paused — 37.45B tokens remain locked and are not entering circulation.
What’s random vs deterministic
Random: adoption trajectory (S-curve noise + collapse events), market regime path (Markov chain), and collateral yields (regime-dependent draws). Deterministic: fee rates, revenue calculation, DCF math, burn mechanics, supply accounting. The same configuration always produces identical results (fixed random seed).
What is RSR worth?
A fundamentals-based model that simulates Reserve protocol growth across 10000 random market scenarios and derives a rational token price via discounted cash flow. Not financial advice.
Fair value today
$0.0132
7.7xfrom $0.001713 current
Median at Y5
$0.0431
25xfrom $0.001713 current
Median at Y10
$0.1279
75xfrom $0.001713 current
Projected range at Year 10
Worst 10%
$0.0461
90% do better
Below avg
$0.0732
75% do better
Median
$0.1279
middle outcome
Above avg
$0.2556
25% do better
Best 10%
$0.6150
top 10% outcome
What are the odds?
Probability of reaching each return multiple across 10000 simulated paths from the current price of $0.001713 .
| Target | Year 2 | Year 5 | Year 7 | Year 10 |
|---|---|---|---|---|
| 10× $0.0171 | 62% | 90% | 97% | 99% |
| 25× $0.0428 | 25% | 50% | 69% | 92% |
| 50× $0.0857 | 11% | 24% | 37% | 68% |
| 100× $0.1713 | 5% | 12% | 18% | 38% |
| 1000× $1.71 | < 1% | 1% | 2% | 4% |
Price & Valuation
Price distribution across all simulated paths (log scale), and the implied P/E ratio the DCF model assigns at each year — starts high (growth priced in) and converges toward the terminal multiple.
Price distribution
Implied P/E over time
TVL & Holders Revenue
TVL is the total value locked across all DTFs. Holders revenue is all protocol revenue flowing to RSR holders — platform fees (used to buy back and burn RSR), governance rewards, and staking yield.
Total TVL
Holders revenue (burns + staking + governance)
Holders Revenue by type (median)
Market cap
Burns, Emissions & Supply
Platform fees buy RSR on the open market and burn it permanently. Token unlocks have currently stopped in real life, so emissions default to $0 - but you can change this in the sidebar to model what happens if they resume. The net effect determines whether circulating supply shrinks or grows.
Net supply change
-29.93%
over 10 years
range 11.40% - 56.56%
Circulating supply
43.83B RSR
median at yr 10
range 27.17B RSR - 55.42B RSR
Burns vs Unlocks per year
Circulating supply over time