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jaxperro f2fb8d67b7 research: copy_maker_entry (T3) — resting-bid copy entries beat taker FAKs
54 chain-graded parity+ signals @$100: maker bid at their price fills 93%
within 60s, EV/signal +$17.45 vs taker +$12.86 (+36%) — fee removal +
no pay-up. No adverse-selection asymmetry at the 60s window (winners fill
92% vs losers 94%); mild asymmetry only in patient tails, so 60s-then-
cancel is the shape. Queue-position optimism stated: maker wins while real
priority >~68%; markout re-read stream will refine. Candidate execution
change behind mirror-exactly + pre-registration.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-23 12:42:26 -04:00

97 lines
4.3 KiB
Python

#!/usr/bin/env python3
"""T3 EXPLORATORY (2026-07-23) — maker-entry copy execution: instead of
FAK-taking a copy signal (pays the ~1.9% taker fee + slippage, always
fills), rest a bid at the sharp's own print price. Fill = a later tape
print at <= that price (the book crossed through our level; queue-position
optimism stated). Missed = no fill in the window (EV 0, capital free).
The trade-off being measured: fee+slippage savings + better entries vs
fill-rate loss and ADVERSE SELECTION (bids fill preferentially on the way
DOWN — winners run away unfilled, losers come to you). The split of fill
rate by eventual outcome is THE number.
Universe: every non-untracked BUY fill in both books with their_price and
tape coverage. Windows 60s/5m/30m/to-resolution. Chain-true grading
(payouts_for). NOT pre-registered — exploration for a possible execution
change behind the mirror-exactly discipline."""
import json
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
import tape # noqa: E402
import forward as fwd # noqa: E402
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
WINDOWS = [(60, "60s"), (300, "5m"), (1800, "30m"), (None, "to-res")]
FEE = 0.03
def main():
db = tape.connect()
t_lo, t_hi = db.execute("SELECT min(ts), max(ts) FROM trades").fetchone()
tape.build_resolved(db)
fills = []
for path, book in ((os.path.join(ROOT, "copybot_fills.jsonl"), "paper"),
(os.path.join(ROOT, "copybot_fills.live.jsonl"), "live")):
for ln in open(path):
r = json.loads(ln)
if (r.get("side") == "SELL" or r.get("untracked")
or not r.get("their_price") or not r.get("my_price")):
continue
sig_ts = r["ts"] - (r.get("detect_lag_s") or 0)
if not (t_lo + 60 <= sig_ts <= t_hi - 1800):
continue # need tape around the signal
fills.append({"book": book, "token": str(r["token"]),
"sig_ts": sig_ts, "p": r["their_price"],
"my_px": r["my_price"], "shares": r.get("shares", 0),
"fee": r.get("fee") or 0,
"cost": r.get("cost") or r["my_price"] * r.get("shares", 0)})
print(f"copy signals with tape coverage: {len(fills)}")
pays = fwd.payouts_for(db, [f["token"] for f in fills])
graded = [f for f in fills if pays.get(f["token"]) is not None
and pays.get(f["token"]) != 0.5]
print(f"chain-graded (refunds excluded): {len(graded)}")
# taker baseline: what actually happened, normalized to $100 stakes
tk_pnl = 0.0
for f in graded:
pay = pays[f["token"]]
sh = 100.0 / f["my_px"]
tk_pnl += sh * (pay - f["my_px"]) - FEE * sh * min(f["my_px"], 1 - f["my_px"])
print(f"\nTAKER baseline @$100/signal: {len(graded)} fills · "
f"EV/signal {tk_pnl/len(graded):+.2f}")
for win_s, tag in WINDOWS:
mk_pnl = 0.0
n_fill = 0
win_fill = lose_fill = win_all = lose_all = 0
for f in graded:
pay = pays[f["token"]]
(win_all, lose_all) = (win_all + (pay == 1), lose_all + (pay == 0))
hi = f["sig_ts"] + win_s if win_s else t_hi
r = db.execute("""SELECT min(ts) FROM trades WHERE asset = ?
AND ts > ? AND ts <= ? AND price <= ?""",
[f["token"], f["sig_ts"], hi, f["p"]]).fetchone()
if r[0] is None:
continue # bid never touched — no fill
n_fill += 1
sh = 100.0 / f["p"]
mk_pnl += sh * (pay - f["p"]) # maker: no taker fee
if pay == 1:
win_fill += 1
else:
lose_fill += 1
fr = n_fill / len(graded)
fr_w = win_fill / max(win_all, 1)
fr_l = lose_fill / max(lose_all, 1)
print(f"MAKER bid@their_px, window {tag:>6}: fill {fr:5.0%} "
f"({n_fill}) · EV/signal {mk_pnl/len(graded):+6.2f} · "
f"EV/fill {mk_pnl/max(n_fill,1):+6.2f} · "
f"fill-rate winners {fr_w:.0%} vs losers {fr_l:.0%}"
f"{' ⚠ adverse' if fr_l > fr_w + 0.1 else ''}")
if __name__ == "__main__":
main()