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:

  1. 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.
  2. 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.
  3. 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).

10-Year Projection

We ran 10000 independent simulations of Reserve's growth over 10 years. Each path models TVL adoption along an S-curve, computes protocol revenue from fees, and derives a fundamental token price via discounted cash flow. Market conditions (bull/bear cycles, volatility, crashes) vary randomly across paths — what you see below is the full range of outcomes, not a single prediction. Pick a story from the sidebar to explore different scenarios, or adjust individual parameters for full control.

In the middle 50% of outcomes, RSR lands between $0.1243 and $0.6306 by year 10.

Median price at year 10

$0.2403

Worst 10% 90% do better
$0.0783
Below avg 75% do better
$0.1243
Median middle outcome
$0.2403
Above avg 25% do better
$0.6306
Best 10% top 10% outcome
$2.26

What are the odds?

% of the 10000 simulated paths that reach or exceed each return multiple from your entry price of $0.001560.

Target Yr 1Yr 2Yr 3Yr 4Yr 5Yr 6Yr 7Yr 8Yr 9Yr 10
Break even $0.001560100%100%100%100%100%100%100%100%100%100%
$0.003119100%100%100%100%100%100%100%100%100%100%
$0.00779898%99%99%100%100%100%100%100%100%100%
10× $0.015685%92%96%98%99%100%100%100%100%100%
20× $0.031256%67%79%87%93%96%98%99%99%100%
50× $0.078026%33%41%50%60%69%77%83%87%90%
100× $0.156014%18%23%28%34%41%48%55%61%66%
1000× $1.562%3%3%4%5%6%8%9%11%13%

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 81% index / 19% yield

Revenue breakdown (median)

Market cap

Burns, Emissions & Supply

Platform fees buy RSR on the open market and burn it permanently. Locked tokens unlock over time. The net effect determines whether circulating supply shrinks or grows.

Net supply change

-9.80%

over 10 years

range 6.63% - 12.02%

Circulating supply

56.42B RSR

median at yr 10

range 55.03B RSR - 58.40B RSR

Burns vs Unlocks per year

Circulating supply over time