FIXED-LINE FEEDS
Tournament data, obfuscated.
Anonymised features, rank-normalised targets, served as Parquet. Refreshed per round — open Sunday 18:00 UTC, close Friday 20:00 UTC.
35 features across 1 groups · 0 targets
Available datasets
All dataset files · Himalayas / Futures
Download all (.zip)
Core splits
eiq_train.parquet
Training split — obfuscated features + 16 targets, full history.
eiq_validation.parquet
Validation split — out-of-sample features + targets.
eiq_live.parquet
Live split — current-round features (targets are placeholders until the round matures).
Benchmark models
eiq_train_benchmark_models.parquet
Benchmark-model predictions over the train split.
eiq_validation_benchmark_models.parquet
Benchmark-model predictions over the validation split.
eiq_live_benchmark_models.parquet
Benchmark-model predictions for the current round.
Example predictions & Minera model
eiq_validation_example_preds.parquet
Example predictions over the validation split.
eiq_live_example_preds.parquet
Example predictions for the current round.
eiq_minera_model.parquet
Minera model predictions for the current round (the stake-weighted consensus).
Metadata
eiq_features.json
Feature metadata — feature sets (small / medium / all) and the target list.
eiq_metadata.json
Build metadata — dataset version, build timestamp, and git commit.
Schema · Himalayas / Futures
Column definitions
era string 2026-W18 exped_id string 2026-W18-001 instrument_id string SPY-FUT-FRONT cluster string eq feature_alpine_001 float64 [-1.0, 1.0] rank-normalized feature_alpine_002 float64 [-1.0, 1.0] rank-normalized ... target_everest_20 float64 [-1.0, 1.0] 20-day forward return target_k2_20 float64 [-1.0, 1.0] auxiliary target_lhotse_20 float64 [-1.0, 1.0] auxiliary predecessor_chain string|null SPY-MAR-2026 data_split string train|val|live
API access
Pull data from your terminal
Python
import everestapi as eq
client = eq.Client(api_key="ekq_...")
df = client.dataset.futures_himalayas_v1_5(
split="train",
format="parquet",
)
curl
curl -H "Authorization: Bearer $EIQ_API_KEY" \ https://api.everesteer.ai/v1/dataset/himalayas/v1.5/train.parquet \ -o train.parquet