53/100 Scenario Score with full calculator coverage.
Stock category calculators
Best Fintech Stocks Return Calculators
Calculator category and current ranking
What separates the strongest return calculators among fintech stocks?
+9.0% annualized across the sourced window.
28.34% historical stress inside this category.
Payments, brokerages, exchanges and fintech stock forecasts collected in one category page. Based on the current sourced inputs, Visa leads this group with a 53/100 Scenario Score, while Charles Schwab has the highest historical annualized return at +9.0%.
Visa has the lowest observed drawdown in the category at 28.34%. 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 |
|---|---|---|---|---|---|---|
| Visa V · payments | 53/100 Category leader | +8.0% | -28.34% | +22.2% | $12,594 | |
| Mastercard MA · payments | 51/100 | +7.5% | -28.57% | +21.8% | $12,440 | |
| PayPal PYPL · payments | 5/100 | -28.6% | -87.06% | +14.9% | $3,638 | |
| Block XYZ · fintech | 6/100 | -20.7% | -86.08% | +22.4% | $4,991 | |
| Coinbase COIN · crypto exchange infrastructure | 8/100 | -7.1% | -90.90% | +38.4% | $8,023 | |
| Charles Schwab SCHW · brokerage | 45/100 | +9.0% | -50.41% | +34.2% | $12,936 | |
| SoFi SOFI · fintech banking | 18/100 | +1.9% | -81.54% | +42.7% | $10,578 | |
| Shopify SHOP · e-commerce software | 12/100 | -3.8% | -84.82% | +38.6% | $8,908 |
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 Charles Schwab at +9.0% 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 | SCHW at +9.0% annually | Automated trading at 14% monthly | Modeled automated edge |
|---|---|---|---|
| 6 months | $1,044 | $2,195 | $1,151 |
| 12 months | $1,090 | $4,818 | $3,728 |
| 24 months | $1,187 | $23,212 | $22,025 |
| 36 months | $1,294 | $111,834 | $110,541 |
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.