42/100 Scenario Score with full calculator coverage.
Stock category calculators
Best EV Stocks Return Calculators
Calculator category and current ranking
What separates the strongest return calculators among ev stocks?
+9.4% annualized across the sourced window.
59.46% historical stress inside this category.
Electric vehicle stock forecast pages for Tesla, Rivian, Lucid, NIO and legacy automakers. Based on the current sourced inputs, General Motors leads this group with a 42/100 Scenario Score, while General Motors has the highest historical annualized return at +9.4%.
General Motors has the lowest observed drawdown in the category at 59.46%. 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 |
|---|---|---|---|---|---|---|
| Tesla TSLA · electric vehicles and autonomy | 32/100 | +7.5% | -73.63% | +44.3% | $12,416 | |
| Rivian RIVN · electric vehicles | 2/100 | -34.8% | -95.12% | +12.8% | $2,777 | |
| Lucid LCID · electric vehicles | 0/100 | -51.5% | -99.17% | -1.9% | $1,143 | |
| NIO NIO · electric vehicles | 3/100 | -35.7% | -93.15% | +10.9% | $2,663 | |
| Ford F · automotive | 24/100 | +1.2% | -65.50% | +33.9% | $10,352 | |
| General Motors GM · automotive | 42/100 Category leader | +9.4% | -59.46% | +39.2% | $13,104 |
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 General Motors at +9.4% 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 | GM at +9.4% annually | Automated trading at 14% monthly | Modeled automated edge |
|---|---|---|---|
| 6 months | $1,046 | $2,195 | $1,149 |
| 12 months | $1,094 | $4,818 | $3,724 |
| 24 months | $1,197 | $23,212 | $22,015 |
| 36 months | $1,310 | $111,834 | $110,524 |
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.