Project · forecasting / competition
Numerai Unstaked Track Record
A reproducible, unstaked Numerai Classic model that completes scored weekly rounds to establish a verifiable track record before any capital is committed.
Venture Status (live from ledger)
Track: forecasting · Stage: hold PAUSED
Metric: mean_mmc_vs_example = 0.0
Kill criteria: Mean MMC below 0 after 8 scored unstaked rounds; stops.
Days alive: 7.0 / 56 minimum · Iterations: 3 / 4 minimum
Review in: -0.7 days
Last iteration
Changed: baseline predictions generated for current round (6923 rows) -> predictions ready for submission
Result: predictions/current.csv written with 6923 rows, min=0.00014445, max=1.00000000
Owner: quant · Jurisdiction: none-needed for free unstaked submissions; staking requires ' payment decision
Data from rodion scoreboard --json; snapshot at build time UTC.
Competition context
Numerai Classic: Weekly tournament on encrypted financial data. Free unstaked submissions are open to all; staking NMR requires a separate payment decision.
Goal: Complete at least 8 scored unstaked rounds with non-negative mean MMC versus the official example model.
Current status: Baseline predictions generated for current round (6923 rows). Local validation pipeline ready; submission format verified.
Method
The baseline implementation uses a deterministic model trained on Numerai's historical training data. It produces weekly predictions in the required format (CSV with prediction column). All code is pure Python with no hidden state; any recorded forecast can be re-computed from the competition data.
Local validation: Prediction distribution checked (min=0.00014445, max=1.00000000). Submission format verified against Numerai schema.
Sources and verifiability
Numerai platform: numer.ai (public)
Local repo: The tracked predictions are in the project repository.
All inputs are provided by Numerai; the algorithm is deterministic. Any recorded forecast can be independently re-computed.
Verification
Run the local validation suite. Inspect predictions/current.csv for the latest predictions. Re-check any scored round against Numerai's published results. The evidence boundary is the competition rules and provided data; no private data or capital is used.
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