Files
winning-wallet-finder_github/research/grade_lean.py
T
jaxperro cf9465f38a #26 wwf-leanbot (Study C stage-2) + #27 v2 band arm + shared concentration guards
leanbot: orders_matched inventory tracking on the nightly-published
screened set (box never screens itself), frozen $150-500 one-sided
crossing, paper FAK $100 capped at print+3c, complement routing for
net-short leans, MAX_PER_EVENT=2, premium logged on every attempt.
guards.py: ex-best-day / ex-top5 / top-event share — the cuts that caught
both studies today, now machinery every grader reports nightly.
grade_lag: v2 band arm (15-40c, forward-only from V2_FREEZE_TS, bar +$8)
+ three report-only control bands.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-27 15:32:39 -04:00

130 lines
4.7 KiB
Python

#!/usr/bin/env python3
"""Nightly chain-truth grading of the maker-lean harness (wwf-leanbot).
Pulls /data/lean_state.json + lean_attempts.jsonl + lean_settles.jsonl off
the box (read-only), re-grades every settle with CTF payout vectors,
appends to research/lean_paper_ledger.jsonl (keyed asset+ts, idempotent),
and prints the pre-registered readouts for #26: paper-leg EV/fill WITH
the shared concentration guards (guards.py — ex-best-day, ex-top5,
top-event share; a headline PASS that fails them is CONCENTRATED and does
not graduate), plus the OBSERVATIONAL kill-switch — the median ask
premium over the lean-side print (>= 8c over 3 days = the tape's entry
was a mirage, no paper sample needed)."""
import json
import os
import shutil
import statistics as st
import subprocess
import sys
HERE = os.path.dirname(os.path.abspath(__file__))
LEDGER = os.path.join(HERE, "lean_paper_ledger.jsonl")
STATE_PULL = os.path.join(HERE, ".lean_state.pull.json")
ATT_PULL = os.path.join(HERE, ".lean_attempts.pull.jsonl")
SET_PULL = os.path.join(HERE, ".lean_settles.pull.jsonl")
FLYCTL = shutil.which("flyctl") or "/opt/homebrew/bin/flyctl"
def sftp(remote, local):
subprocess.run([FLYCTL, "ssh", "sftp", "get", remote, local + ".new",
"-a", "wwf-leanbot"], capture_output=True,
timeout=600, stdin=subprocess.DEVNULL)
if os.path.exists(local + ".new") and os.path.getsize(local + ".new") > 0:
os.replace(local + ".new", local)
return True
try:
os.remove(local + ".new")
except FileNotFoundError:
pass
return False
def main():
ok = sftp("/data/lean_state.json", STATE_PULL)
sftp("/data/lean_attempts.jsonl", ATT_PULL)
sftp("/data/lean_settles.jsonl", SET_PULL)
if not ok:
print("[grade_lean] box unreachable or no state yet — skip")
return 0
stt = json.load(open(STATE_PULL))
sys.path.insert(0, os.path.join(HERE, "..", "live"))
import payouts
have = set()
ledger_rows = 0
try:
for ln in open(LEDGER):
try:
d = json.loads(ln)
have.add((d["asset"], d["ts"]))
ledger_rows += 1
except Exception:
pass
except FileNotFoundError:
pass
settled = stt.get("settled", [])
if os.path.exists(SET_PULL): # durable log beats trimmed state
seen = {(s["asset"], s["ts"]) for s in settled}
for ln in open(SET_PULL):
try:
s = json.loads(ln)
if (s["asset"], s["ts"]) not in seen:
settled.append(s)
except Exception:
pass
new = [s for s in settled if (s["asset"], s["ts"]) not in have]
if new:
payouts.ensure(sorted({s["cond"] for s in new if s.get("cond")}))
graded = flips = 0
with open(LEDGER, "a") as fh:
for s in new:
t = payouts.truth(s.get("cond"), s.get("asset")) \
if s.get("cond") else None
pay = s["payout"] if t is None else t
pnl = round(s["shares"] * pay - s["cost"] - s["fee"], 2)
if t is not None and abs(t - s["payout"]) > 1e-9:
flips += 1
fh.write(json.dumps({**s, "chain_payout": pay, "chain_pnl": pnl,
"flip": t is not None
and abs(t - s["payout"]) > 1e-9}) + "\n")
graded += 1
import guards
led = []
try:
for ln in open(LEDGER):
try:
led.append(json.loads(ln))
except Exception:
pass
except FileNotFoundError:
pass
# observational kill-switch: median premium across ALL attempts with a
# visible ask (fills, premium-skips, craters alike)
prem = []
try:
for ln in open(ATT_PULL):
try:
a = json.loads(ln)
if a.get("premium") is not None:
prem.append(a["premium"])
except Exception:
pass
except FileNotFoundError:
pass
c = stt.get("counters", {})
cuts = guards.cuts(led)
print(f"[grade_lean] +{graded} settles ({flips} flips) · "
f"lifetime cross {c.get('crossings')} att {c.get('attempts')} "
f"fill {c.get('fills')} prem-skip {c.get('premium_skips')}")
print("[grade_lean] " + guards.line("PAPER LEG", cuts, pass_ev=2.0))
if prem:
prem.sort()
print(f"[grade_lean] OBSERVATIONAL: median ask premium "
f"{st.median(prem)*100:+.1f}c over {len(prem)} attempts "
f"(kill-switch: >= +8c across 3 days)")
print("[grade_lean] verdict binds to the Study C Stage-2 (#26) pre-registration")
return 0
if __name__ == "__main__":
sys.exit(main())