feat(crypto): paper-forward harness for funding harvest (spec Phase 1)

Daily no-capital forward test. Pulls live Binance USDT-perp funding (public API, no key),
applies validated filter (liquid + trailing-30d mean daily funding > 5bp, hysteresis), computes
intended equal-weight delta-neutral book, tracks realized funding on prior book -> forward track
record on unseen data. Modes: paper|status. cwd-independent, state-persisted, cron-ready.
Day-1 live run: 19 of 247 liquid perps qualify (regime filter working in real time). Cron added
at 01:17 UTC daily (after 00:00 funding settlement). Validates the one open question: does
positive funding carry persist forward? Honest scope: tracks gross carry + turnover; does NOT
model basis vol (needs live fills) or counterparty risk (un-simulable).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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jgrusewski
2026-06-07 01:30:03 +02:00
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#!/usr/bin/env python3
"""Paper-forward harness for the crypto funding harvest (Phase 1 of the deployable spec).
Daily, no-capital forward test. Pulls LIVE Binance USDT-perp funding (public API, no key),
applies the validated filter (liquid + trailing-30d mean daily funding > 5bp), computes the
intended equal-weight delta-neutral book, and tracks the funding that WOULD have accrued on
yesterday's book -> builds a genuine forward track record on unseen future data.
Modes: paper (run + log + persist state) | status (show current book/P&L).
Cron (daily, after the 00:00 UTC funding settlement):
17 1 * * * /usr/bin/python3 /home/jgrusewski/Work/foxhunt/scripts/surfer/crypto_funding_paper.py paper >> /home/jgrusewski/Work/foxhunt/data/surfer/funding_paper_runs.log 2>&1
Honest scope: tracks GROSS funding carry (the edge) + turnover (cost awareness). Does NOT model
basis/tracking-error vol (needs live fills) or counterparty risk (un-simulable). It validates the
ONE open quantitative question: does positive funding carry persist on unseen forward data?
"""
import datetime
import json
import os
import sys
import time
import urllib.request
_REPO = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
STATE = os.path.join(_REPO, "data/surfer/funding_paper_state.json")
FAPI = "https://fapi.binance.com"
HURDLE = 0.0005 # 5 bp/day trailing-30d mean funding (validated filter)
EXIT_HURDLE = 0.0003 # hysteresis: keep held coins until they fall below 3 bp/day
LIQ_USD = 5e6 # >$5M/day quote volume
COST_RT = 0.0010 # 10 bp round-trip (for net-of-cost awareness)
INTERVALS_PER_DAY = 3 # Binance funding settles every 8h
def get(url, tries=4):
for a in range(tries):
try:
req = urllib.request.Request(url, headers={"User-Agent": "curl/8"})
return json.loads(urllib.request.urlopen(req, timeout=30).read())
except Exception as e:
if a == tries - 1:
raise
time.sleep(2 * (a + 1))
def universe():
"""Liquid USDT perps: symbol -> 24h quote volume (USD)."""
t = get(f"{FAPI}/fapi/v1/ticker/24hr")
return {x["symbol"]: float(x["quoteVolume"]) for x in t
if x["symbol"].endswith("USDT") and float(x["quoteVolume"]) > LIQ_USD}
def funding_hist(sym, limit=90):
"""Last `limit` 8h funding rates for sym (90 ~= 30 days)."""
h = get(f"{FAPI}/fapi/v1/fundingRate?symbol={sym}&limit={limit}")
return [float(x["fundingRate"]) for x in h]
def load_state():
if os.path.exists(STATE):
return json.load(open(STATE))
return {"positions": {}, "cum_gross": 0.0, "cum_net": 0.0, "days": 0}
def main():
mode = sys.argv[1] if len(sys.argv) > 1 else "paper"
st = load_state()
if mode == "status":
print(f"funding-paper state: day {st['days']}, {len(st['positions'])} positions, "
f"cum gross {100*st['cum_gross']:+.2f}% cum net {100*st['cum_net']:+.2f}%")
for c, w in sorted(st["positions"].items(), key=lambda kv: -kv[1])[:15]:
print(f" {c:>14} w={w:.3f}")
return
today = datetime.datetime.now(datetime.timezone.utc).strftime("%Y-%m-%d")
liq = universe()
prev = st["positions"]
need = set(liq) | set(prev) # fetch hist for new-universe + held coins
tf30, last24 = {}, {}
for i, sym in enumerate(sorted(need)):
try:
h = funding_hist(sym)
except Exception:
continue
if len(h) < 30:
continue
tf30[sym] = (sum(h) / len(h)) * INTERVALS_PER_DAY # trailing mean DAILY funding
last24[sym] = sum(h[-INTERVALS_PER_DAY:]) # last ~24h funding (3 settlements)
if i % 50 == 49:
time.sleep(0.5)
# realized funding on YESTERDAY's book (paper P&L for the period just elapsed)
realized = sum(w * last24.get(c, 0.0) for c, w in prev.items())
# new book: hysteresis filter (enter >HURDLE, keep if >EXIT_HURDLE)
qual = {}
for c in liq:
t = tf30.get(c)
if t is None:
continue
if t > HURDLE or (c in prev and t > EXIT_HURDLE):
qual[c] = t
n = len(qual)
newpos = {c: 1.0 / n for c in qual} if n else {}
turnover = sum(abs(newpos.get(c, 0) - prev.get(c, 0)) for c in set(newpos) | set(prev))
net = realized - turnover * (COST_RT / 2)
st["positions"] = newpos
st["cum_gross"] += realized
st["cum_net"] += net
st["days"] += 1
os.makedirs(os.path.dirname(STATE), exist_ok=True)
json.dump(st, open(STATE, "w"))
top = sorted(qual.items(), key=lambda kv: -kv[1])[:5]
topstr = " ".join(f"{c}:{1e4*t:.0f}bp" for c, t in top)
print(f"{today} day={st['days']} | qualifying={n} liquid={len(liq)} | "
f"realized24h gross={100*realized:+.3f}% net={100*net:+.3f}% turn={turnover:.2f} | "
f"cum gross={100*st['cum_gross']:+.2f}% net={100*st['cum_net']:+.2f}% | top: {topstr}")
if __name__ == "__main__":
main()