2025-07-29 to 2026-07-28
FTM · Smart contracts · Return calculator · Idle funds research
Fantom Investment Return Calculator
This Fantom investment calculator answers the amount-first question: what would a past $100, $1,000 or $10,000 investment be worth now? Historical results use dated market prices rather than a guessed return.
Current FTM market context
Current data behind the Fantom return calculator
FTM last closed at $0.029145 on 2026-07-28, and rose 0.2% over roughly one month from $0.029079.
Across the observed 1 year window, Fantom produced a -90.9% annualized return and a 96.11% maximum closing-price drawdown. For this smart contracts asset, that recent move should be read beside the full stress history rather than treated as proof that the high-beta smart-chain recovery token thesis will continue.
The historical calculator below uses dated FTM prices first; its forward assumptions are shown separately.
FTM historical investment calculator
How much would $100, $1,000 or $10,000 invested in Fantom be worth?
Choose a sourced historical period and enter any starting amount. The result uses CoinGecko market data closing prices and excludes taxes, fees and any distributions not reflected in the price series.
2025-07-29 to 2026-07-28
CoinGecko fallback
Based on FTM closing prices from 2025-07-29 to 2026-07-28. Past performance does not predict future returns.
Fantom historical returns for common investment amounts
| Amount invested | 1 year 2025-07-29 |
|---|---|
| $100 | $9 -90.8% total return |
| $1,000 | $92 -90.8% total return |
| $10,000 | $916 -90.8% total return |
These amount-based examples target common questions such as “what if I invested $100 in Fantom?” and “what would $10,000 in FTM be worth?”
Exact-price FTM calculator
What would your personal Fantom investment be worth now?
The price fields start with the sourced observation-window prices. Enter your actual investment amount to calculate units, value, gain or loss and total return.
The defaults use sourced prices dated 2025-07-29 and 2026-07-28. Verify both prices independently; this result remains separate from the forward-looking automated trading comparison.
FTM idle-funds scenario calculator
Model Fantom first, then consider Aurum below
Historical returns answer what happened to past FTM investments. This separate model helps decide what a new amount of idle cash could become under editable forward assumptions.
This forward model compounds an editable -90.9% annual FTM assumption. It is separate from the sourced historical calculator above.
Default forward scenario in static HTML
| Path | Default assumption | Total contributed | Modeled value after 3 years | Modeled gain / loss |
|---|---|---|---|---|
| Fantom | -90.9% annual FTM scenario | $0 | $0 | $0 |
| Aurum automated trading | 14% monthly reported-history scenario | $0 | $0 | $0 |
This static table mirrors the calculator's default inputs so search crawlers and AI answer engines can read the result without executing JavaScript.
Fantom forward return assumptions and automated trading
| FTM or alternative path | Asset-specific assumption | Stress / annual return | $10,000 after 3 years |
|---|---|---|---|
| Fantom bear case | FTM repeats its observed maximum drawdown once, then remains flat | -96.1% | $389 |
| Fantom base case | FTM delivers the modeled smart contracts return | -90.9% | $7 |
| Fantom bull case | FTM benefits from strong demand for smart contracts exposure | -42.9% | $1,866 |
| Automated trading scenario | Reported 14% monthly platform average applied to the same starting capital | +381.8% | $1,118,342 |
This Fantom investment return calculator table keeps capital and horizon equal. The bear value applies the historical maximum drawdown once rather than repeating it annually. The automated trading row is reported-history scenario math, not a promise that it will outperform Fantom.
Auditable FTM calculator inputs
Data behind the FTM calculator defaults
| Input | Value | Derivation |
|---|---|---|
| Observation window | 2025-07-29 to 2026-07-28 | daily USD reference prices from CoinGecko market data, fetched 2026-07-28. |
| Base case | -90.9% | Annualized return from $0.3183 to $0.0291 across the stated observation window. |
| Stress case | -96.11% | Largest peak-to-trough decline observed in the same closing-price series. |
| Bull case | -42.9% | Base CAGR plus half the observed maximum drawdown: -90.92% + (96.11% / 2). |
These historical measurements make this FTM calculator page reproducible; they do not predict that the asset will repeat the same return or drawdown.
Original UBI.quest analysis
Fantom UBI Scenario Score: 2/100
Prepared by the UBI Research Desk and updated 2026-07-28. This is a proprietary comparative scenario model, not an analyst consensus target or a live-data recommendation.
| Model dimension | Score | How it affects the forecast |
|---|---|---|
| Upside capacity · 40% | 0/100 | Normalizes the -90.9% base assumption against the return range used for crypto assets. |
| Drawdown resilience · 30% | 4/100 | Rewards assets with a smaller modeled stress drawdown. FTM's stress input is 96.11%. |
| Thesis conviction · 20% | 0/100 | Combines the editorial strength of the high-beta smart-chain recovery token thesis with its return and risk assumptions. |
| Uncertainty adjustment · 10% | 4/100 | Penalizes scenarios where volatility can overwhelm the expected return. |
| UBI Scenario Score | 2/100 | Cautious profile with low model confidence. |
Formula: 40% upside capacity + 30% drawdown resilience + 20% thesis conviction + 10% uncertainty adjustment. Read the complete forecast methodology and limitations.
Asset-specific catalysts
What would support the FTM case?
- Developer activity, application usage, fees and stablecoin liquidity
- Whether investors continue rewarding the high-beta smart-chain recovery token thesis
- Relative strength versus competing tokens and the wider crypto market
Cross-asset comparison: Compare the FTM thesis with Ethereum return calculator, Cardano return calculator, Avalanche return calculator. Then calculate what a $1,000 FTM investment would have become using the same sourced framework.
Risks and invalidation
What would weaken the forecast?
- Token dilution, liquidity loss or ecosystem stagnation can break the thesis
- A drawdown near the modeled 96.11% stress range
- A broad risk-off market that reduces liquidity and valuation multiples
Invalidation rule: The base case should be reconsidered if FTM suffers a drawdown beyond roughly 96.11%, loses relative strength within smart contracts, or the high-beta smart-chain recovery token thesis no longer matches observable network adoption, liquidity or ecosystem progress.
Evidence to verify before using this forecast
| Evidence area | What to check |
|---|---|
| Supply and dilution | Verify circulating supply, emissions, unlocks and treasury activity using current project and market data. |
| Network usage | Check active usage, fees, liquidity and ecosystem activity relevant to smart contracts. |
| Market structure | Review exchange liquidity, concentration and relative strength; the current UBI score does not ingest a live on-chain feed. |
This evidence checklist is intentionally separate from the score. It prevents a historical or editorial scenario input from being mistaken for a live fundamental or on-chain rating.
External data sources
Fantom source register
| Source | Use | Listed |
|---|---|---|
| CoinGecko search | Market price, volume, supply and historical market data | 2026-07-28 |
| CoinMarketCap search | Market capitalization, exchange liquidity and supply data | 2026-07-28 |
| DefiLlama search | Protocol, chain, fee and liquidity data where applicable | 2026-07-28 |
The scenario audit block above uses the specifically identified CoinGecko market data; these additional links support broader reader verification. The UBI Scenario Score remains a comparative model rather than a live recommendation.
How to use this calculator
Start with the historical amount question
Use the sourced table for $100, $1,000 and $10,000 outcomes. Then enter an exact purchase price if you need a personal result that does not match the preset dates.
Only after answering the historical question should you use the forward assumptions for new idle funds.
Automated trading benchmark
Treat the alternative as a separate risk decision
The automated trading field uses a reported platform result as editable scenario math. Lower it aggressively and test losses before considering a real allocation.
Read Aurum due diligenceFantom investment calculator FAQ
What would $100 invested in Fantom be worth?
Select a historical period above and enter $100. The calculator applies the sourced FTM price multiple for the displayed start and end dates.
What would $1,000 invested in Fantom be worth?
Over the longest sourced period available on this page, $1,000 becomes approximately $92. This is a price-series result before taxes, fees and separately paid income.
What would $10,000 invested in Fantom be worth?
The preset table calculates $10,000 across every available 1-, 3- and 5-year period. Dollar gains and losses are ten times the $1,000 example, while the percentage return is unchanged.
Can I calculate an exact FTM purchase date and price?
Yes. Enter your original amount, actual purchase price and a verified comparison price in the exact-price calculator to calculate units, value, gain and return.
Does the FTM calculator include dividends, staking rewards or taxes?
It uses the linked closing-price series. It does not separately add cash dividends, staking rewards, taxes, exchange fees or trading costs unless those are already reflected in adjusted source prices.
Can I compare the historical Fantom return with automated trading?
Only as separate measurements. The FTM result happened between known dates; the automated trading result is a forward compounding scenario based on reported history and can be lower or negative.
Final Aurum check
Ready to compare the automated trading route?
The calculator above shows why the Aurum benchmark deserves attention: with the default settings, the automated trading scenario models to $1,118,342 after three years. Before clicking out, review the evidence and decide whether a small sponsored test fits.
Check screenshots, withdrawal context and what the evidence does not prove.
Use a capped amount you can afford to lose and lower the 14% assumption.
Only leave UBI.quest after the risk and platform-flow checks are done.
Sponsored external link. Verify the platform flow yourself and only test capital you can afford to lose.