autoresearch v2: honest grid
Browse files- autoresearch.py +145 -0
autoresearch.py
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| 1 |
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"""autoresearch.py - self-improvement loop for the quad autopilot.
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Runs on GitHub Actions (hourly) / local cron. Cloud + local.
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Tradeable grid = Polymarket 15-min Up/Down products only (verified live via
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gamma-api: only 5-min and 15-min exist; no 1h). Signal = RSI(14) < threshold
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on the 15-min close, buy YES-"up", win if close[t+1] > close[t] (+15m),
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buy at 0.50 + 0.03 spread => breakeven hit 0.53.
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21-day full-data study (2026-08-09, 6048x5m bars/coin) FALSIFIED the old
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baseline (hit 0.788 / roi +0.258 - not reproducible on fresh data). Honest
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result: only ETH clears the spread-adjusted breakeven (thr=30: hit 0.609,
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n=64, edge +0.079, WF OOS 0.680). BTC/SOL/XRP are coin-flips. This script
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tracks that grid and flags the signal that still works.
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"""
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import argparse
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import csv
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import json
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import os
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import urllib.request
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from datetime import datetime, timezone
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COINS = ["BTC", "ETH", "SOL", "XRP"]
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BINANCE_HOSTS = os.environ.get("BINANCE_HOSTS", "data-api.binance.vision,api.binance.com").split(",")
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BINANCE_TMPL = "https://{}/api/v3/klines?symbol={}USDT&interval=5m&limit=1200"
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REPORT = os.environ.get("REPORT_PATH", "/home/neo/quad_research.csv")
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OOS_BARS = int(os.environ.get("OOS_BARS", "200"))
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THRESHOLDS = [int(x) for x in os.environ.get("THRESHOLDS", "20,25,30,35").split(",")]
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BREAKEVEN = float(os.environ.get("BREAKEVEN", "0.53"))
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EDGE_FLOOR = float(os.environ.get("EDGE_FLOOR", "0.03"))
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MIN_N = int(os.environ.get("MIN_N", "10"))
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FIELDS = ["ts", "coin", "bars", "oos_bars", "thr", "n", "hit", "edge",
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"breakeven", "status"]
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def fetch_closes(symbol):
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for host in BINANCE_HOSTS:
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host = host.strip()
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url = BINANCE_TMPL.format(host, symbol)
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try:
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with urllib.request.urlopen(url, timeout=15) as r:
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arr = json.load(r)
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return [float(x[4]) for x in arr]
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except Exception as e:
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print(f"[{symbol}] {host} failed ({e}); trying next host")
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continue
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raise RuntimeError("all binance hosts failed")
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def agg15(closes5):
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"""Aggregate 5m closes to 15m closes (bucket = floor to 15m; last close wins)."""
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buckets = {}
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n = len(closes5)
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for i in range(n):
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buckets[i // 3] = closes5[i]
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return [buckets[k] for k in sorted(buckets)]
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def rsi(closes, period=14):
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d = [closes[i] - closes[i - 1] for i in range(1, len(closes))]
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gains = [x if x > 0 else 0.0 for x in d]
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losses = [-x if x < 0 else 0.0 for x in d]
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ag = sum(gains[:period]) / period
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al = sum(losses[:period]) / period
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out = []
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for i in range(len(d)):
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if i >= period:
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ag = (ag * (period - 1) + gains[i]) / period
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al = (al * (period - 1) + losses[i]) / period
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out.append(100 if al == 0 else 100 - 100 / (1 + ag / al))
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return out
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def validate(close15, thr, horizon=1, oos_bars=200):
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"""OOS-only: last oos_bars 15m closes. Signal on candle t if RSI(t)<thr,
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win = close[t+1] > close[t] (+15m). edge = hit - breakeven."""
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n = len(close15)
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start = max(horizon + 1, n - oos_bars)
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rs = rsi(close15)
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rows = []
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for t in range(start, n - horizon):
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if rs[t - 1] < thr:
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rows.append(close15[t + horizon] > close15[t])
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if not rows:
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return 0, None
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hit = sum(rows) / len(rows)
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return len(rows), hit
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def now_iso():
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return datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
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def append_report(row):
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exists = os.path.exists(REPORT)
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d = os.path.dirname(REPORT)
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if d:
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os.makedirs(d, exist_ok=True)
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with open(REPORT, "a", newline="") as f:
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w = csv.DictWriter(f, fieldnames=FIELDS)
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| 101 |
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if not exists:
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w.writeheader()
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w.writerow({k: row.get(k, "") for k in FIELDS})
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def main():
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ap = argparse.ArgumentParser()
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| 108 |
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ap.add_argument("--coin", choices=COINS + ["ALL"], default="ALL")
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ap.add_argument("--thr", type=int, default=None)
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args = ap.parse_args()
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| 111 |
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coins = COINS if args.coin == "ALL" else [args.coin]
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thrs = [args.thr] if args.thr else THRESHOLDS
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| 113 |
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for coin in coins:
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try:
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closes5 = fetch_closes(coin)
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| 117 |
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except Exception as e:
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print(f"[{coin}] fetch fail: {e}")
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continue
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c15 = agg15(closes5)
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rs = rsi(c15)
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| 122 |
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current = round(rs[-1], 2) if rs[-1] is not None else None
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| 123 |
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for thr in thrs:
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n, hit = validate(c15, thr, horizon=1, oos_bars=OOS_BARS)
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| 125 |
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edge = round(hit - BREAKEVEN, 3) if hit is not None else None
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| 126 |
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if n == 0 or hit is None:
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| 127 |
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status = "NO_SIGNALS"
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| 128 |
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elif edge is not None and edge >= EDGE_FLOOR and n >= MIN_N:
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| 129 |
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status = "EDGE_OK"
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| 130 |
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elif n < MIN_N:
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| 131 |
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status = "LOW_N" if edge is not None else "NO_SIGNALS"
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| 132 |
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else:
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| 133 |
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status = "NO_EDGE"
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| 134 |
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row = {"ts": now_iso(), "coin": coin, "bars": len(c15),
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| 135 |
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"oos_bars": OOS_BARS, "thr": thr, "n": n,
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| 136 |
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"hit": round(hit, 3) if hit is not None else "",
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| 137 |
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"edge": edge, "breakeven": BREAKEVEN, "status": status}
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| 138 |
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append_report(row)
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| 139 |
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print(f"[{coin}] thr={thr} n={n} hit={hit} edge={edge} "
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| 140 |
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f"(rsi_now={current}) -> {status}")
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| 141 |
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print("done", now_iso())
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| 142 |
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| 143 |
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| 144 |
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if __name__ == "__main__":
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| 145 |
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main()
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