WEIRSolana Mainnet

WEIR has been at this window since day one, counting every Solana token that clears $10K. The gate only opens when the evidence is provably good enough.

$WEIRabout · quantitative research & methodology

What WEIR Is Not

  • WEIR does not predict price. It estimates the conditional probability that a token which entered the river ($10K peak market cap) clears the falls ($30K peak market cap).
  • WEIR does not provide financial advice. Four feature families cannot forecast an entire market. WEIR measures survival, not price.
  • The water gauge is not decorative. If the model does not statistically beat random noise under strict capacity bounds, the gate stays shut and the system explicitly reports which lock is holding.

1. The Concept of WEIR

A weir is a low dam in a river where biologists count salmon swimming upstream. WEIR does the exact same thing on Solana: every token that crosses $10,000 peak market cap enters the river. Our agent observes and learns which tokens clear the falls (reach $30,000 peak market cap) and which are held below (stalled after 48 hours). All counts are published live.

"Thousands enter the river. Few clear the falls. We count every one."

2. Why Solana

Solana operates with rapid liquidity creation, low latency, and high token velocity. Thousands of micro-assets are launched across decentralized launchpads every day, creating a rich behavioral distribution of market experiments. While the vast majority stall quickly, a small fraction achieve sustained liquidity. WEIR acts as an autonomous observer, recording every launch, tracking peak market capitalizations, and discovering empirical patterns behind token survival.

3. What WEIR Actually Does

Every token on Solana that crosses $10,000 peak market cap enters the study population (entered the river). WEIR observes whether it successfully progresses to $30,000 peak market cap over a 48-hour observation window. Using four orthogonal feature families (launch hour circular encoding, day of the week, 48h holder distribution, and Metaplex lore semantic embeddings), an ensemble of gradient-boosted decision trees (LightGBM) estimates the survival probability.

4. Why the Water Rises Slowly

In small sample regimes, an ML model can appear artificially predictive purely due to variance and overfitting. To counter this, WEIR enforces a mathematically proven performance floor (proven_floor = min(floor_vc, floor_boot)) combining Vapnik–Chervonenkis (VC) generalization bounds with 2,000-fold Bootstrap resampling. The water level reflects this conservative proven floor rather than raw cross-validation AUC. $WEIR will not launch until this floor rigorously clears ROC-AUC 0.60 and all Four Locks are open.

5. Open Science & Transparent Research

Anyone can independently inspect the methodology, download the full labeled Solana training dataset, reproduce the AUC score, and verify that the Four Locks are evaluated honestly.

03The math on this page

From empirical observation to a proven statistical floor

All equations →
Survival label(1.1)
yi  =  1{ Pˉi≥30k },Pˉi≥10ky_i \;=\; \mathbf{1}\big\{\, \bar P_i \ge 30\text{k} \,\big\}, \qquad \bar P_i \ge 10\text{k}

P̄ᵢ is the peak market cap. The only question asked; price is never the target.

Capacity penalty(3.1)
ε  =  d(log⁡2nd+1)+log⁡4δn,δ=0.05\varepsilon \;=\; \sqrt{\frac{d\big(\log\frac{2n}{d}+1\big) + \log\frac{4}{\delta}}{n}}, \qquad \delta = 0.05

Vapnik–Chervonenkis: how far luck can lift the score of a model with capacity d.

Proven floor(3.3)
AUC‾  =  min⁡{ AUC‾−ε,  AUC‾ boot}\underline{\mathrm{AUC}} \;=\; \min\big\{\,\overline{\mathrm{AUC}} - \varepsilon,\ \ \underline{\mathrm{AUC}}_{\,\mathrm{boot}}\big\}

The more pessimistic bound is the only number the agent believes.