#!/usr/bin/env python3 """Fetch daily klines + funding history for major USDT perps (Binance, free, no key). Caches per-symbol npz to data/surfer/crypto/ (gitignored): day, open, close, funding_daily (sum of the 8h funding rates that day). Curated long-history majors → reduces (not eliminates) survivorship; v1 caveat documented. Crypto is 24/7 → no roll / no overnight gap. """ import json import os import time import urllib.request import numpy as np OUT = "data/surfer/crypto" DAY_MS = 86_400_000 TOP_N = 80 # programmatic universe: top-N USDT perps by 24h quote-volume (removes hand-selection bias) def get(url): req = urllib.request.Request(url, headers={"User-Agent": "curl/8"}) return json.load(urllib.request.urlopen(req, timeout=30)) def universe(n): info = get("https://fapi.binance.com/fapi/v1/exchangeInfo") perps = {s["symbol"] for s in info["symbols"] if s.get("contractType") == "PERPETUAL" and s.get("quoteAsset") == "USDT" and s.get("status") == "TRADING"} tick = get("https://fapi.binance.com/fapi/v1/ticker/24hr") vol = {t["symbol"]: float(t["quoteVolume"]) for t in tick if t["symbol"] in perps} return sorted(vol, key=lambda s: -vol[s])[:n] SYMS = universe(TOP_N) def klines(sym): out = [] end = None for _ in range(20): u = f"https://fapi.binance.com/fapi/v1/klines?symbol={sym}&interval=1d&limit=1500" if end: u += f"&endTime={end}" k = get(u) if not k: break out = k + out end = k[0][0] - 1 if len(k) < 1500: break time.sleep(0.15) # dedup by openTime d = {int(r[0]): (float(r[1]), float(r[4])) for r in out} days = np.array(sorted(d)) op = np.array([d[t][0] for t in days]); cl = np.array([d[t][1] for t in days]) return days // DAY_MS, op, cl def funding(sym, start_ms): out = [] st = start_ms for _ in range(80): # forward pagination (startTime works; endTime didn't) u = f"https://fapi.binance.com/fapi/v1/fundingRate?symbol={sym}&startTime={st}&limit=1000" f = get(u) if not f: break out += f st = f[-1]["fundingTime"] + 1 if len(f) < 1000: break time.sleep(0.12) daily = {} for r in out: daily.setdefault(int(r["fundingTime"]) // DAY_MS, 0.0) daily[int(r["fundingTime"]) // DAY_MS] += float(r["fundingRate"]) return daily def main(): os.makedirs(OUT, exist_ok=True) ok = 0 for sym in SYMS: outp = f"{OUT}/{sym}.npz" if os.path.exists(outp): print(f" {sym}: cached"); ok += 1; continue try: kd, op, cl = klines(sym) if len(kd) < 400: print(f" {sym}: too short ({len(kd)}d), skip"); continue fmap = funding(sym, int(kd.min()) * DAY_MS) fund = np.array([fmap.get(int(d), 0.0) for d in kd]) np.savez(outp, day=kd, open=op, close=cl, funding=fund) print(f" {sym}: {len(kd)}d ({kd.min()}..{kd.max()}) fundcov={np.mean(fund!=0):.2f}") ok += 1 time.sleep(0.2) except Exception as e: print(f" {sym}: FAIL {type(e).__name__} {str(e)[:80]}") print(f"DONE: {ok}/{len(SYMS)} symbols -> {OUT}/") if __name__ == "__main__": main()