Open Historical Datasets

import pandas as pd

# Load the canonical 19,740-candle settlement corpus directly into memory
url = "https://quanterraos.com/api/history/download?dataset=kalshi-btc15m-candles&format=csv"
df = pd.read_csv(url)

print(f"Loaded {len(df)} candles across {df['ticker'].nunique()} unique settlement windows.")
print(df.head())

# Stream and save raw verified settlement dataset with cryptographic SHA-256 header
curl -fsSL "https://quanterraos.com/api/history/download?dataset=kalshi-btc15m-candles&format=csv" \
  -o kalshi-btc15m-candles.csv

# Verify integrity
sha256sum kalshi-btc15m-candles.csv
# Expected: dafc101e36d2134d64654d09b52088ace9381755b4feeaec55615b1a60aaab42

const res = await fetch("https://quanterraos.com/api/history/download?dataset=kalshi-btc15m-candles&format=jsonl");
const text = await res.text();
const records = text.trim().split("\n").map(line => JSON.parse(line));

console.log("Ingested observations:", records.length);