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