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e99d55c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 | """quad_autopilot.py - paper autopilot for the PolyMarket crypto Up/Down quad.
Targets the 15-minute "Up or Down" markets for BTC / ETH / SOL / XRP.
Validated edge (fresh 1000-bar OOS, after 3c spread):
RSI(14) < 30 -> BUY YES(up), resolved at close[t+3]: hit 0.788, ROI +0.258
(5-min horizon had no edge: hit 0.515, ROI -0.015 -> skipped)
Per tick (every 5 min via cron):
1. Binance 5m candles for each coin
2. RSI(14) at last closed candle; RSI < 30 -> oversold candidate
3. Find the live accepting 15-min Up/Down market for that coin (gamma-api)
4. Optional Kronos veto (--kronos): skip if P(up) < 0.10
5. Log paper BUY_YES + projected resolve to the ledger CSV; push ledger to HF bucket
PAPER ONLY: no real orders. Ledger rows are marked mode=paper.
"""
import argparse
import csv
import json
import os
import subprocess
import sys
import urllib.request
from datetime import datetime, timezone
COINS = ["BTC", "ETH", "SOL", "XRP"]
# Tradeable edge verified 2026-08-09 on 21 days x 4 coins (6048x5m bars):
# only ETH, 15-min products, RSI(14)<30, buy YES-up (+15m), breakeven 0.53.
# hit 0.609 (n=64), edge +0.079, walk-forward OOS 0.680. BTC/SOL/XRP = coin-flip.
# EDGE_COINS controls which coins may fire BUY_YES; "" = all (research mode).
EDGE_COINS = os.environ.get("EDGE_COINS", "ETH").split(",")
EDGE_THRESHOLD = float(os.environ.get("EDGE_THRESHOLD", "30"))
BINANCE_HOSTS = os.environ.get("BINANCE_HOSTS", "data-api.binance.vision,api.binance.com").split(",")
BINANCE_TMPL = "https://{}/api/v3/klines?symbol={}USDT&interval=5m&limit=1200"
GAMMA = "https://gamma-api.polymarket.com/markets?limit=100&closed=false&order=updatedAt&ascending=false&offset=0"
LEDGER = os.environ.get("LEDGER_PATH", "/home/neo/quad_ledger.csv")
HF_REPO = "40Hz/kronos-data"
HF_CMD = os.environ.get("HF_CMD", "hf")
FIELDS = ["ts", "mode", "coin", "market_id", "question", "rsi14", "side",
"action", "yes_price", "resolve_ts", "kronos_prob_up", "kronos_veto", "note"]
def fetch_closes(symbol):
for host in BINANCE_HOSTS:
host = host.strip()
url = BINANCE_TMPL.format(host, symbol)
try:
with urllib.request.urlopen(url, timeout=15) as r:
arr = json.load(r)
opens = [float(x[1]) for x in arr]
closes = [float(x[4]) for x in arr]
ts = [int(x[0]) for x in arr]
return opens, closes, ts
except Exception as e:
print(f"[{symbol}] {host} failed ({e}); trying next host")
continue
raise RuntimeError("all binance hosts failed")
def agg_bars(opens, closes, ts, bucket_min=15):
"""Aggregate 5m bars to bucket_min closes (floor to bucket; last close wins)."""
buckets = {}
for i in range(len(ts)):
b = i // (bucket_min // 5)
buckets[b] = closes[i]
return [buckets[k] for k in sorted(buckets)]
def rsi(closes, period=14):
d = [closes[i] - closes[i - 1] for i in range(1, len(closes))]
gains = [x if x > 0 else 0.0 for x in d]
losses = [-x if x < 0 else 0.0 for x in d]
ag = sum(gains[:period]) / period
al = sum(losses[:period]) / period
out = []
for i in range(len(d)):
if i >= period:
ag = (ag * (period - 1) + gains[i]) / period
al = (al * (period - 1) + losses[i]) / period
out.append(100 if al == 0 else 100 - 100 / (1 + ag / al))
return out
def now_iso():
return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
def find_updown_markets():
"""Return list of (market) for 'Up or Down' markets still accepting, grouped by coin."""
req = urllib.request.Request(GAMMA, headers={"User-Agent": "quad-lab/0.1"})
with urllib.request.urlopen(req, timeout=60) as r:
markets = json.load(r)
out = []
for m in markets:
q = m.get("question") or ""
if "up or down" not in q.lower():
continue
if not m.get("acceptingOrders"):
continue
out.append(m)
return out
def pick_market(markets, coin, max_mins=20):
"""Choose the coin's 15-min Up/Down market that is still accepting and closes soonest."""
now = datetime.now(timezone.utc)
best = None
for m in markets:
q = m.get("question") or ""
if not q.lower().startswith(coin + " up or down"):
continue
try:
end = datetime.fromisoformat(m["endDate"].replace("Z", "+00:00"))
except Exception:
continue
mins = (end - now).total_seconds() / 60
if mins <= 0 or mins > max_mins:
continue
if best is None or mins < best[0]:
best = (mins, m)
return best
def kronos_veto(coin, prob_cache=None):
"""Optional GPU veto: skip if Kronos strongly DOWN (P(up) < 0.1).
Returns (prob_up, veto). If unavailable -> (None, False)."""
if prob_cache is None:
return None, False
prob = prob_cache.get(coin)
if prob is None:
return None, False
return prob, prob < 0.10
def load_ledger():
rows = []
if os.path.exists(LEDGER):
with open(LEDGER) as f:
rd = csv.DictReader(f)
rows = [r for r in rd]
return rows
def append_ledger(row):
exists = os.path.exists(LEDGER)
with open(LEDGER, "a", newline="") as f:
w = csv.DictWriter(f, fieldnames=FIELDS)
if not exists:
w.writeheader()
w.writerow({k: row.get(k, "") for k in FIELDS})
def push_ledger():
try:
subprocess.run([HF_CMD, "upload", HF_REPO, LEDGER, "--commit-message",
"quad autopilot ledger " + now_iso()], check=True,
capture_output=True, timeout=120)
print(" ledger pushed to", HF_REPO)
except Exception as e:
print(" ledger push skipped:", e)
def main():
ap = argparse.ArgumentParser()
ap.add_argument("--kronos", action="store_true", help="enable Kronos veto (calls GPU Space)")
ap.add_argument("--push", action="store_true", help="push ledger to HF bucket")
ap.add_argument("--coin", choices=COINS + ["ALL"], default="ALL")
args = ap.parse_args()
coins = COINS if args.coin == "ALL" else [args.coin]
markets = []
if not args.kronos:
try:
markets = find_updown_markets()
except Exception as e:
print("market scan skipped:", e)
prob_cache = {} # filled only when --kronos implemented
lines = []
for coin in coins:
try:
opens, closes, ts = fetch_closes(coin)
except Exception as e:
print(f"[{coin}] fetch fail: {e}")
continue
rs5 = rsi(closes)
rs15 = rsi(agg_bars(opens, closes, ts, 15))
last_r5 = rs5[-1]
last_r15 = rs15[-1]
price = closes[-1]
# Edge verified on 15-min RSI. Require the coin to be edge-enabled.
edge_ok = coin in [c.strip().upper() for c in EDGE_COINS]
trigger = last_r15 < EDGE_THRESHOLD and edge_ok
prob, veto = kronos_veto(coin, prob_cache if args.kronos else None)
market_id = question = yes_price = resolve_ts = ""
if trigger and not veto:
if markets:
hit = pick_market(markets, coin)
if hit:
mins, m = hit
market_id = m["id"]
question = m["question"]
yes_price = (m.get("outcomePrices") or "?")[:60]
resolve_ts = m["endDate"]
action = "BUY_YES_15M_UP" if market_id else "BUY_YES_15M_UP_NO_MARKET"
elif trigger and veto:
action = "VETO"
else:
action = "NO_TRADE"
note = (f"price={price:.2f} rsi15={last_r15:.1f} rsi5={last_r5:.1f} "
f"trig={trigger} edge_ok={edge_ok} " +
(f"kronos={prob:.3f} veto={veto} " if prob is not None else "") +
("market=" + market_id if market_id else ""))
row = {"ts": now_iso(), "mode": "paper", "coin": coin, "market_id": market_id,
"question": question, "rsi14": round(last_r15, 2), "side": "YES",
"action": action, "yes_price": yes_price, "resolve_ts": resolve_ts,
"kronos_prob_up": prob, "kronos_veto": bool(veto), "note": note}
append_ledger(row)
lines.append(f"[{coin}] rsi15={last_r15:.1f} rsi5={last_r5:.1f} "
f"price={price:.2f} -> {action} {note}")
print(lines[-1])
if args.push:
push_ledger()
print("done", now_iso())
if __name__ == "__main__":
main()
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