6/100 Scenario Score with full calculator coverage.
Crypto category calculators
Best Ethereum Layer 2 Crypto Return Calculators
Calculator category and current ranking
What separates the strongest return calculators among ethereum layer 2 crypto?
-46.9% annualized across the sourced window.
85.16% historical stress inside this category.
Ethereum scaling token forecasts for L2 and app-chain infrastructure assets. Based on the current sourced inputs, Mantle leads this group with a 6/100 Scenario Score, while Optimism has the highest historical annualized return at -46.9%.
Mantle has the lowest observed drawdown in the category at 85.16%. That does not make it safe, but it gives investors comparing idle-fund options a more useful distinction than a simple list of popular tickers.
Compare assets by score, return and drawdown
| Asset | Scenario Score | Historical CAGR | Max drawdown | Bull case | $10,000 base value after 3 years | Tools |
|---|---|---|---|---|---|---|
| Arbitrum ARB · ethereum scaling | 1/100 | -56.9% | -96.75% | -8.5% | $801 | |
| Optimism OP · ethereum scaling | 1/100 | -46.9% | -98.14% | +2.2% | $1,501 | |
| Polygon MATIC · ethereum scaling | 4/100 | -60.4% | -90.39% | -15.2% | $621 | |
| Mantle MNT · ethereum scaling | 6/100 Category leader | -49.8% | -85.16% | -7.2% | $1,265 | |
| Loopring LRC · ethereum scaling | 4/100 | -87.7% | -90.05% | -42.7% | $19 | |
| Immutable IMX · gaming infrastructure | 1/100 | -53.7% | -97.26% | -5.0% | $994 |
The UBI Scenario Score combines upside capacity, drawdown resilience, thesis conviction and uncertainty. Historical CAGR and drawdown come from each asset's linked market-data series; neither guarantees a future result.
Low-effort alternative for idle funds
Why the automated trading return needs careful evidence
The strongest historical CAGR in this category belongs to Optimism at -46.9% annually. Aurum reports a 14% average monthly automated-trading result. If that monthly rate repeated and every gain were reinvested, the compounding difference would look like this for $1,000:
| Period | OP at -46.9% annually | Automated trading at 14% monthly | Modeled automated edge |
|---|---|---|---|
| 6 months | $729 | $2,195 | $1,466 |
| 12 months | $532 | $4,818 | $4,286 |
| 24 months | $282 | $23,212 | $22,930 |
| 36 months | $150 | $111,834 | $111,684 |
The arithmetic is the attraction: $1,000 models to $4,818 after 12 months and $111,834 after 36 months at 14% monthly. That is reported-history scenario math, not a forecast. High-return crypto futures strategies can lose money quickly, so a small test allocation is more defensible than treating the result as automatic.