The Live Track Record

Every week we run the same test and publish the result — good or bad. Coins whose Clever Score rose 5+ pointsover the week (“upgrades”) versus coins whose score fell 5+ points(“downgrades”): how did each group’s price do over that same week, against Bitcoin?

17

weeks measured — ordering held every week

72%

avg weekly beat-BTC rate, upgraded coins

16%

avg weekly beat-BTC rate, downgraded coins

Week endingBTC 7dUpgrades: beat BTCmedian returnDowngrades: beat BTCmedian return
2026-07-20+4.8%67% (81)+8.1%9% (77)-3.4%
2026-07-26+0.2%67% (82)+3.3%25% (63)-3.6%
2026-08-03-3.1%71% (94)+0.7%20% (102)-7.9%
2026-08-09 *+3.2%68% (221)+6.7%18% (112)-1.2%
2026-08-12 *-3.2%78% (128)+3.6%26% (155)-6.4%
2026-08-22 *+21.9%37% (314)+17.5%6% (70)-1.2%
2026-08-29+1.0%61% (231)+3.2%12% (82)-6.2%
2026-09-05+2.6%84% (295)+9.4%17% (71)-6.4%
2026-09-13-3.8%91% (105)+11.1%25% (150)-8.3%
2026-09-19+5.1%80% (76)+14.0%20% (55)+1.1%
2026-09-26+3.6%88% (119)+16.5%43% (69)+2.8%
2026-10-03+0.8%65% (79)+5.0%11% (74)-7.3%
2026-10-10-2.1%77% (56)+4.5%13% (71)-7.6%
2026-10-17-1.5%66% (56)+2.7%3% (95)-11.8%
2026-10-24-1.2%89% (47)+2.9%11% (185)-7.6%
2026-10-31-3.8%71% (28)+3.7%8% (74)-10.2%
2026-11-07-1.8%67% (54)0.0%0% (35)-9.0%

* Hover the marked rows for measurement notes. (n) = coins in the cohort that week.

How to read this honestly

  • This measures tracking, not prophecy. Score changes and price moves happen over the same week — the claim is that the score moves with the data as deterioration or improvement happens, not that it predicts tops or bottoms in advance.
  • Medians, not averages.A handful of dead-coin repricing glitches print fake five-digit “returns”; we exclude anything beyond ±500% and quote medians so no single outlier flatters the numbers.
  • Benchmark context matters. In weeks when Bitcoin itself rips (see Aug 22), beating BTC gets hard for everything — compare the upgrade and downgrade columns to each other, not to 100%.
  • The early cadence was imperfect. Two of the first measurement windows overlap (marked *); the schedule has been a fixed weekly cron since. Rows are never edited after publication — the first nine are frozen in our source code.

The 90-day test — results

The Clever Score is built and backtested on a 90-day horizon, so before the first live cohort matured we committed to publishing its results whatever they said. Here they are: every coin scored at the v1.0 lock (July 3, 2026; 461 coins after 1 missing price series and 3 repricing glitches, both disclosed), split into quintiles by that day’s score, measured July 3 → October 1 against Bitcoin’s own +35.9%.

July-3 score quintileMedian 90d returnBeat BTC
Q1 — lowest (39–50)+10.9%24%
Q2 (50–54)+22.4%40%
Q3 (54–57)+32.6%47%
Q4 (57–60)+21.9%38%
Q5 — highest (60–74)+19.2%39%

What the backtest predicted, and what happened: the pre-launch backtest put the top quintile at a ~40% beat-BTC rate and the bottom at ~31–33%. Live: the top quintile hit 39% — on target — and the bottom came in at 24%, worse than backtested. The top-vs-bottom spread was wider in reality than in the simulation, and the lowest-scored coins captured less than a third of Bitcoin’s move (bottom decile: median +11.4%, 20% beat rate).

What didn’t go to script:the ranking wasn’t perfectly monotonic — Q3 was the single best quintile. Two reasons, both disclosed: at ~92 coins per bucket the middle-quintile differences are within statistical noise, and the July cohort was scored by the early, compressed factor set (three history-dependent factors had not yet activated), which squeezed the middle quintiles into bands only a few points wide. The pre-registered claim — high scorers beat low scorers over 90 days — held. The next cohorts, scored by the full 30-factor system, will be published here as they mature.

Methodology, factor list, and the pre-launch backtest (misses included) are public on the methodology page. Clever Crypto is a research tool, not financial advice.