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StrictScore Backtest Results October 2026: 2,782 Outcomes

StrictScore backtest results October 2026 audit 2,782 calls across 756 tokens, separating interim target touches from endpoint probability calibration.

StrictScore

Research publication

7 min read
Contents
  1. What do the StrictScore backtest results October 2026 show across probability bands?
  2. Which tokens drove the highest hit rates and bear breaches?
  3. Why did target revision churn happen in legacy forecasts?
  4. Scoring v5.2 and the limits of calibration evidence
  5. How to use StrictScore backtest results October 2026 in your workflow

StrictScore backtest results October 2026 evaluate 2,782 historical price scenario calls across 756 cryptocurrencies recorded between December 10, 2025 and July 2, 2026. Over an average elapsed window of 233.1 days, 20.24% of forecasts already hit their 12-month base target and 4.89% reached their bull target, while 34.11% breached their bear floor during mid-2026 altcoin drawdowns.

Many crypto research platforms overwrite missed price targets whenever spot prices move. To measure crypto price target accuracy without survivorship bias, our engineering team locked every historical bear, base, and bull scenario into an append-only PostgreSQL prediction ledger and joined each entry against daily CoinGecko market snapshots through October 26, 2026.

Out of 2,787 total ledger rows, 2,782 matched verified post-analysis price series (1 token lacked a resolved identifier and 4 rows lacked post-analysis snapshots). Every forecast carries a 12-month (365.3-day) horizon, and with elapsed windows spanning 116 to 320 days, zero rows have reached final expiration. Every settled win in this October 2026 crypto backtest represents an early target touch before full maturity.

Scored Predictions
2,782
Base Target Hit Rate
20.24%
Bear Floor Breaches
34.11%

What do the StrictScore backtest results October 2026 show across probability bands?

A forecast model must be judged on calibration, not isolated winners. Across all 2,782 scored rows in the StrictScore backtest results October 2026 dataset, the legacy scoring engine assigned a mean base-case probability (p_base) of 44.73%. Its 55.27% complement concerns the probability of finishing below the analysis-day price at 12 months, not target non-touch or bear-floor breaches; these are different events (opens in a new tab). Realized bear-floor breaches occurred on 949 rows, or 34.11% of the ledger, meaning 65.89% of tracked calls held at or above their downside floor despite Bitcoin testing $80,757 and altcoins suffering steep Q2 and Q3 pullbacks.

Grouping the 2,782 predictions by published endpoint probability shows interim target-touch frequencies, not calibration of those endpoint probabilities:

Implied Probability BandScored Calls (n)Mean Implied p_baseBase Hits (max >= base)Interim Base Touch RateBull Hits (max >= bull)Bear Breaches (min < bear)
0-20%24610.87%9739.43%31 (12.60%)39 (15.85%)
20-40%81928.89%21926.74%45 (5.49%)266 (32.48%)
40-60%96947.83%12613.00%38 (3.92%)316 (32.61%)
60-80%67067.29%10014.93%14 (2.09%)297 (44.33%)
80-100%7885.45%2126.92%8 (10.26%)31 (39.74%)

On the 563 early target hits, the winner-only, event-mismatched squared error is 0.4255. A lower squared error measures agreement between $f$ and $y$ only when both describe the same event; here, endpoint probabilities are compared with target touches among early winners, so this is not calibration of the published probability (opens in a new tab) via $(f - y)^2$.

Why did the 563 early hits produce a winner-only, event-mismatched squared error of 0.4255? Under our resolvability rule, open predictions that have not yet reached their 365-day horizon cannot be scored as $y = 0$ misses while months of market time remain. Among the 563 early winners ($y = 1$), 316 came from the 0-20% and 20-40% probability bands, where the legacy model assigned conservative probabilities averaging 10.87% and 28.89%. When a 20% probability call hits its target in four months, $(0.20 - 1)^2 = 0.64$, increasing this winner-only squared error. Adding matured non-hits will not fix the mismatch between endpoint probabilities and target-touch outcomes.

Which tokens drove the highest hit rates and bear breaches?

Inspecting individual assets in the StrictScore backtest results October 2026 ledger shows where fundamental ratings separated durable breakouts from structural dilution. Several mid-cap and privacy protocols cleared both base and bull targets across repeated revisions, while high-inflation Layer 1 and meme tokens broke their bear floors during macro contractions.

TokenLedger RevisionsDistinct Base TargetsBase Target RangeRealized Peak (max_since)Base HitsBull HitsBear BreachesCurrent Rating (Risk)
ADI ($ADI)1711$2.80 - $7.50$8.8717 (100%)7 (41.2%)046 (8/10)
Zcash ($ZEC)139$525 - $625$1,615.0612 (92.3%)12 (92.3%)878 (7/10)
Lighter ($LIT)108$2.60 - $5.00$5.3810 (100%)5 (50.0%)176 (6/10)
Uniswap ($UNI)1613$7.50 - $28.75$10.4612 (75.0%)0 (0.0%)988 (4/10)
Hyperliquid ($HYPE)159$24.60 - $132.15$96.898 (53.3%)3 (20.0%)088 (6/10)
BNB ($BNB)1710$900 - $1,480$949.100 (0.0%)0 (0.0%)183 (4/10)
Bitcoin ($BTC)1511$105,055 - $180,000$97,007.780 (0.0%)0 (0.0%)992 (2/10)
Polkadot ($DOT)1612$2.10 - $8.00$4.710 (0.0%)0 (0.0%)1278 (6/10)

Zcash ($ZEC) delivered the strongest high-conviction breakout, hitting both its base and bull targets on 12 of 13 revisions as price rallied to a post-analysis high of $1,615.06 ($1,216.27 latest snapshot). As documented on Zcash's protocol portal (opens in a new tab), July 2026 Ironwood shielded pool activation, over $25 million in ZODL development funding, and the ZIP 218 proposal for 25-second block spacing (opens in a new tab) outweighed post-Orchard turnstile migration risks.

In decentralized finance, our Uniswap fundamental analysis holds an 88 rating (4/10 Risk), supported by approximately $3.77 billion in total value locked on October 28, 2026 (opens in a new tab). Across 16 ledger revisions, UNI hit 12 base targets when rallying to $10.46, though an early dip to $2.40 triggered 9 bear breaches against initial $3.50 floors. Hyperliquid ($HYPE), also rated 88 (97 on Revenue, 94 on Innovation), cleared 8 of 15 base targets and 3 bull targets on its run to $96.89 with zero bear-floor breaches.

At the opposite extreme, Dogecoin ($DOGE), Polkadot ($DOT), and Avalanche ($AVAX) each recorded 12 bear-floor breaches across 15 to 16 revisions. Even major caps felt macro pressure: Bitcoin ($BTC), which earns our top 92 rating (2/10 Risk) alongside steady Bitcoin Core 31.1 and 32.0 maintenance on Bitcoin's official portal (opens in a new tab), peaked at $97,007.78 and troughed at $58,550.75 over the 319-day window. That drawdown breached early $75,000 bear floors 9 times while holding well above its June 16, 2026 bear floor of $36,000.

Why did target revision churn happen in legacy forecasts?

A primary objective of the StrictScore backtest results October 2026 audit is exposing target revision churn: how often a coin's 12-month base price target changed across sequential refreshes. Across the 756 tokens in the ledger, 360 had multiple revisions with shifting point targets.

Four findings show how legacy refreshes chased spot momentum before our deterministic anchor went live:

  • ADI ($ADI) and BNB ($BNB) led the ledger with 17 revisions each. ADI's base target moved across 11 distinct values from $2.80 on January 29, 2026 to $7.50 in spring, then down to $4.00 and back to $5.20 by June 25. BNB shifted across 10 distinct base targets between $900 and $1,480 while spot traded between $545.72 and $949.10.
  • Chainlink ($LINK) logged 16 revisions across 8 distinct base targets, rising from $35.00 to $53.03 before stepping down to $18.00 on June 18, 2026. While Chainlink's official network portal (opens in a new tab) verifies CCIP 2.0 expansion across 80+ blockchains and $58.77 million in 12-month Payment Abstraction reserve inflows (earning an 87 rating and 3/10 Risk), spot LINK peaked at $14.60 over the elapsed window.
  • Sui ($SUI) and Polkadot ($DOT) each recorded 16 revisions with 12 distinct base targets, with SUI swinging from $2.85 to $6.50 and down to $2.00 as 58.8% locked supply overhangs weighed on price.
  • Zero 80%-interval bounds (target_lo80 / target_hi80) existed on the 2,787 legacy-backfill rows. Point targets offered no interval to communicate forecast uncertainty.

Note

Every historical revision in the prediction ledger is immutable. When a refresh updates a token's scenario prices, the new row records a supersedes pointer to the prior prediction ID rather than overwriting the old call.

Scoring v5.2 and the limits of calibration evidence

Publishing the StrictScore backtest results October 2026 alongside our October 2026 score changes report and STRICT Score methodology establishes a transparent baseline before the December 2025 cohort reaches full 365-day maturity. Scoring v5.2 addresses target churn, while probability calibration still requires outcomes for the matching forecast event.

Scoring v5.2 replaces unanchored point guesses with a deterministic cycle-potential engine tied to six-pillar fundamental scores, market-cap tier caps, and realized volatility. The schema supports 80% prediction intervals (target_lo80 and target_hi80), but the public track record (opens in a new tab) reports no interval targets logged yet. The drift tripwire is designed to block unverified target swings unless underlying fundamental inputs or macro regime indicators on our market cycle health dashboard actually move.

For probability evaluation, the 60-80% bucket covers all scored calls in that probability range. Its bear-floor breach frequency does not test endpoint-price probabilities or establish calibration of v5.2; that requires outcomes for the same forecast event (opens in a new tab).

How to use StrictScore backtest results October 2026 in your workflow

Reviewing the StrictScore backtest results October 2026 gives quantitative investors three concrete rules when screening tokens on our public prediction track record before sizing a position:

  1. Discount base targets on high-churn tokens with Risk >= 7/10: When a token like ADI hits 100% of its historical base targets but carries a 46 rating, an 8/10 Risk score, and 11 target revisions in six months, treat the rally as momentum-driven rather than fundamentally anchored.
  2. Require low bear-breach history plus fundamental conviction: Favor assets that combine an 80+ rating (Epic or Legendary tier) with fewer than 15% historical bear-floor breaches, such as Hyperliquid (88 rating, 0 bear breaches across 15 revisions) or BNB (83 rating, 1 breach across 17 revisions).
  3. Match the forecast event before judging calibration: Treat the 20.24% base-target touch rate as an interim lower bound. Once the December 2025 cohort reaches full 12-month maturity on December 10, 2026, evaluate p_base against the corresponding endpoint-price event, not whether the base target was touched along the way.

Sources

Featured analysis

Uniswap (UNI)

Current STRICT score 88/100 · Epic

Analysed

  • Sustainability90
  • Transparency90
  • Revenue88
  • Innovation92
  • Community87
  • Tokenomics80
Scale from 0 to 100

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