Gram Investment Calculator
What would buying GRAM have been worth? Pick a plan and a start date and this replays it against real daily Gram closes.
What GRAM actually did, in the data this page replays
Measured from the 365 daily closes this page replays — 14 September 2025 to 13 September 2026, from CoinGecko. Figures are bounded by that window, not by the asset’s whole life.
| History available | 12 months (from CoinGecko) |
|---|---|
| Bought on the first day, held to the last | 0.424× — a loss of 57.6% |
| Highest close in this window | $3.23 on 14 September 2025 |
| Where it sits against that high | 57.6% below |
| Deepest fall | −62.3%, 14 September 2025 → 28 March 2026 |
| Time to get back to that peak | still below it |
| Separate falls of 50% or more | 1 |
| Days spent more than 20% below a previous peak | 92.3% |
| Best calendar year (partial) | 2026: -17.5% |
| Worst calendar year (partial) | 2025: -49.7% |
| Annualised volatility | 80.1% |
GRAM year by year
First close to last close each year. 2025 and 2026 are partial — the data starts mid-2025 and 2026 is still running.
| Year | Change | Note |
|---|---|---|
| 2025 | -49.7% | partial year |
| 2026 | -17.5% | partial year |
The part the calculator does not show you
Gram has a particular shape in this data: its highest close is the very first one we hold, on 14 September 2025, and the 62.3% fall from it is not an event inside the series — it is the series. Any start date you pick above sits somewhere on that decline, which is why almost every plan you can configure here comes back negative. That is not a flaw in the backtest. It is what buying and holding GRAM over this window did.
One caveat specific to GRAM: we only hold 12 months of daily closes for it, which is not enough to cover a full cycle. Any result the calculator gives you is a statement about one short stretch of an unusually eventful market, and the confidence you can place in it is correspondingly low. The coins on this site with six or more years of history give far more meaningful answers.
Note that GRAM's best calendar year in this window is still a negative one (2026, -17.5%). There is no year in the data where holding it for the twelve months made money.
80.1% annualised volatility is ordinary for a major crypto asset and still several times a stock index. All GRAM calculators →
Frequently asked questions
＋Would buying GRAM on the first day of this data and holding have made money?
No. Held across the whole window the position ended at 0.424× — a loss of 57.6%. That is worth stating plainly because "hold long enough and it recovers" is the usual advice, and over the 12 months we hold for GRAM it did not happen.
＋What is the worst GRAM has fallen?
62.3% in this data, from 14 September 2025 down to 28 March 2026 — 6 months of falling. It has not returned to that peak since, so anyone who bought at the top is still waiting. Bear in mind our GRAM series starts in 2025; a deeper fall before that date would not appear here.
＋How much time does GRAM spend below its previous high?
92.3% of all days in this window sat more than 20% below a previous peak. Put another way, for most of the time you would have owned it, the screen showed a number lower than one you had already seen — which is the part of a backtest's headline return that the headline never conveys.
＋What were GRAM's best and worst years?
2026 was the best at -17.5% (a partial year in our data), and 2025 the worst at -49.7% (also partial). The gap between those two is the reason a single average annual return is a poor description of this asset: almost nobody experiences the average, they experience one of the two extremes depending on when they bought.
＋Is 12 months of data enough to trust this backtest?
No, and that is the honest answer for GRAM specifically. 12 months does not cover a full market cycle, so any result here describes one short stretch rather than a pattern. Treat it as a record of what happened, not as evidence about what tends to happen.
What to keep in mind for GRAM
GRAM's price is closely tied to Telegram-ecosystem adoption news, which makes it prone to sharp single-headline moves in both directions.
TON fees are fractions of a cent and stay low under load thanks to sharding, so fees rarely factor into position sizing for GRAM.
A backtest is one path that already happened. It shows what this plan produced through the exact sequence of prices GRAM went through — not what a similar plan will produce through a sequence nobody has seen yet.