mirror of
https://github.com/cjudice-commits/prediction-market-arb.git
synced 2026-07-27 21:47:46 +00:00
Match positions by contract quantity, filling exact strikes before basis
The paired view now recognizes cross-venue hedges economically (by what each leg pays) instead of only matching curated pairs.json rows, and fills by contract count: exact-strike (matched) pairs fill first, so a leg's excess spills into the nearest basis pair only after every matched pairing is exhausted. Partially consumed legs are pro-rated; size/cost/value/pnl conserve exactly. Frontend shows matched / basis+ / basis- badges, strike band, and a plain-English coverage note per row. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
+242
-42
@@ -12,6 +12,7 @@ Credentials come from data/secrets.json (git-ignored), supplied by the user.
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Missing/!configured venues degrade gracefully with setup guidance.
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"""
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import base64
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import datetime
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import json
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import os
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import re
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@@ -49,6 +50,29 @@ def _asset_from_ticker(t):
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return None
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# Polymarket slugs spell the asset out ("will-bitcoin-…"); map name -> symbol so
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# poly legs carry an asset for the paired view (Kalshi legs get it from ticker).
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_POLY_ASSET = [
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("bitcoin", "BTC"), ("ethereum", "ETH"), ("solana", "SOL"),
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("ripple", "XRP"), ("dogecoin", "DOGE"), ("hyperliquid", "HYPE"),
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("binance", "BNB"), ("litecoin", "LTC"), ("cardano", "ADA"),
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("avalanche", "AVAX"), ("chainlink", "LINK"), ("stellar", "XLM"),
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("zcash", "ZEC"), ("shiba", "SHIB"),
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# short forms / tickers that also appear in slugs
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("btc", "BTC"), ("eth", "ETH"), ("sol", "SOL"), ("xrp", "XRP"),
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("doge", "DOGE"), ("bnb", "BNB"), ("hype", "HYPE"), ("zec", "ZEC"),
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("sui", "SUI"), ("trx", "TRX"), ("xlm", "XLM"),
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]
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def _asset_from_slug(slug):
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s = (slug or "").lower()
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for name, sym in _POLY_ASSET:
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if name in s:
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return sym
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return None
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def load_secrets():
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try:
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with open(SECRETS) as f:
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@@ -93,6 +117,7 @@ def _poly(wallet):
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if p.get("percentPnl") is not None else None)
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out.append({
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"venue": "Polymarket",
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"asset": _asset_from_slug(p.get("slug")) or _asset_from_slug(p.get("title")),
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"market": p.get("title"),
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"ref": p.get("slug"),
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"side": p.get("outcome"),
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@@ -426,53 +451,228 @@ def _load_pairs():
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return []
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def _paired(poly_pos, kalshi_pos):
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pairs = _load_pairs()
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by_slug, by_tkr = {}, {}
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for pr in pairs:
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if pr.get("poly_slug"):
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by_slug.setdefault(pr["poly_slug"], pr)
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if pr.get("kalshi_ticker"):
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by_tkr[pr["kalshi_ticker"]] = pr
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def _kalshi_dir(tkr):
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t = (tkr or "").upper()
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if "MAXMON" in t or "MAX" in t:
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return "above"
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if "MINMON" in t or "MIN" in t:
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return "below"
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return None
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groups = {}
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def key(pr):
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return "%s|%s|%s" % (pr.get("asset"), pr.get("kalshi_ticker"),
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pr.get("poly_slug"))
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def _poly_dir(slug):
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s = (slug or "").lower()
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if "reach" in s or "hit" in s or "above" in s:
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return "above"
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if "dip" in s or "below" in s:
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return "below"
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return None
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for p in poly_pos:
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pr = by_slug.get(p["ref"])
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if pr:
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groups.setdefault(key(pr), {"pair": pr, "poly": [], "kalshi": []})
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groups[key(pr)]["poly"].append(p)
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for p in kalshi_pos:
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pr = by_tkr.get(p["ref"])
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if pr:
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groups.setdefault(key(pr), {"pair": pr, "poly": [], "kalshi": []})
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groups[key(pr)]["kalshi"].append(p)
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def _pays_high(direc, side):
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"""A leg 'pays high' if it settles $1 when the asset ends ABOVE its strike.
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above+YES and below+NO pay high; above+NO and below+YES pay low."""
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if direc is None:
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return None
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s = str(side or "").strip().lower()
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if s in ("yes", "y", "up", "long"):
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yes = True
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elif s in ("no", "n", "down", "short"):
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yes = False
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else:
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return None
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return yes if direc == "above" else (not yes)
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def _kalshi_strike(tkr, lookup=None):
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if lookup and lookup.get(tkr):
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return lookup[tkr]
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m = re.search(r"-(\d+)$", tkr or "")
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return float(m.group(1)) / 100.0 if m else None
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def _poly_strike(slug, lookup=None):
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if lookup and lookup.get(slug):
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return lookup[slug]
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s = (slug or "").lower()
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m = re.search(r"(?:reach|hit|dip-to|dip|above|below)-(\d+(?:pt\d+)?)(k?)", s)
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if not m:
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return None
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num = float(m.group(1).replace("pt", "."))
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return num * 1000.0 if m.group(2) == "k" else num
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def _fmt_strike(v):
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if v is None:
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return "?"
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if v >= 1000:
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return "%gk" % (v / 1000.0)
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return "%g" % v
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def _exp_key(leg):
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"""Group key by settlement month. Kalshi/Poly end_date is the day AFTER the
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month being settled (00:00 UTC of the 1st), so step back a day first."""
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d = (leg.get("end_date") or "")[:10]
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try:
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y, m, dd = (int(x) for x in d.split("-"))
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dt = datetime.date(y, m, dd) - datetime.timedelta(days=1)
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return "%04d-%02d" % (dt.year, dt.month)
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except (ValueError, TypeError):
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return "?"
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def _classify(leg, tkr_strike, slug_strike):
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if leg.get("venue") == "Kalshi":
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direc = _kalshi_dir(leg.get("ref"))
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leg["_strike"] = _kalshi_strike(leg.get("ref"), tkr_strike)
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else:
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direc = _poly_dir(leg.get("ref"))
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leg["_strike"] = _poly_strike(leg.get("ref"), slug_strike)
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leg["_dir"] = direc
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leg["_pays"] = _pays_high(direc, leg.get("side"))
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return leg
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def _row_from_legs(legs, kind, complete, note, asset, expiry,
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low_strike=None, high_strike=None):
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cost = sum((x.get("cost") or 0) for x in legs)
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value = sum((x.get("value") or 0) for x in legs)
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pnl = sum((x.get("pnl") or 0) for x in legs if x.get("pnl") is not None)
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return {
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"asset": asset, "kind": kind, "complete": complete, "note": note,
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"expiry": expiry, "low_strike": low_strike, "high_strike": high_strike,
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"legs": legs, "cost": cost, "value": value, "pnl": pnl,
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"pnl_pct": (pnl / cost if cost else None),
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}
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def _slice_leg(leg, qty):
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"""A view of `leg` holding only `qty` contracts, with cost/value/pnl
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pro-rated. Used when one leg's size is split across several hedge rows."""
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s = float(leg.get("size") or 0)
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if s <= 0 or qty is None or abs(qty - s) < 1e-9:
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return leg # whole leg — no split needed
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frac = qty / s
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out = dict(leg)
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out["size"] = qty
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for k in ("cost", "value", "pnl"):
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v = leg.get(k)
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out[k] = (v * frac) if isinstance(v, (int, float)) else v
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return out
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def _match_bucket(legs, asset, expiry):
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"""Quantity-aware pairing of pays-low against pays-high legs across venues.
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A hedge holds one of each: pays-low covers the downside, pays-high the up.
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strikes equal -> matched (clean barrier hedge)
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low strike > high -> basis+ (overlap band where BOTH legs win)
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low strike < high -> basis- (gap band where NEITHER wins = basis risk)
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Contracts are filled by size: exact-strike (matched, gap 0) pairs sort and
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fill first, so a leg's excess only spills into a basis pair once every
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matched pairing is exhausted. Each fill consumes min(remaining) contracts
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from both legs; a partially used leg's economics are pro-rated. Cross-venue
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only; reject absurd gaps (unfavorable > 10% of level, overlap > 25%)."""
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lows = [l for l in legs if l.get("_pays") is False and l.get("_strike")]
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highs = [l for l in legs if l.get("_pays") is True and l.get("_strike")]
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other = [l for l in legs if l.get("_pays") is None or not l.get("_strike")]
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rem_lo = [float(l.get("size") or 0) for l in lows]
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rem_hi = [float(l.get("size") or 0) for l in highs]
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cands = []
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for li, lo in enumerate(lows):
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for hi, hg in enumerate(highs):
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if lo.get("venue") == hg.get("venue"):
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continue # a real hedge spans both venues
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ls, hs = lo["_strike"], hg["_strike"]
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level = max(ls, hs) or 1.0
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gap = hs - ls
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if gap > 0 and gap > 0.10 * level:
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continue # basis- gap too wide to be a hedge
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if gap < 0 and (-gap) > 0.25 * level:
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continue # basis+ overlap implausibly large
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cands.append((abs(ls - hs), li, hi))
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cands.sort() # gap 0 (matched) first, then nearest
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rows = []
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for g in groups.values():
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legs = g["poly"] + g["kalshi"]
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cost = sum((x["cost"] or 0) for x in legs)
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value = sum((x["value"] or 0) for x in legs)
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pnl = sum((x["pnl"] or 0) for x in legs if x["pnl"] is not None)
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rows.append({
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"asset": g["pair"].get("asset"),
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"kalshi_ticker": g["pair"].get("kalshi_ticker"),
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"poly_slug": g["pair"].get("poly_slug"),
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"kalshi_strike": g["pair"].get("kalshi_strike"),
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"poly_strike": g["pair"].get("poly_strike"),
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"legs": legs,
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"cost": cost,
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"value": value,
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"pnl": pnl,
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"pnl_pct": (pnl / cost if cost else None),
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"complete": bool(g["poly"] and g["kalshi"]),
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})
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rows.sort(key=lambda r: r["pnl"], reverse=True)
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return rows
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for _, li, hi in cands:
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q = min(rem_lo[li], rem_hi[hi])
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if q <= 1e-9:
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continue # one side already fully consumed
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rem_lo[li] -= q
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rem_hi[hi] -= q
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lo, hg = lows[li], highs[hi]
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ls, hs = lo["_strike"], hg["_strike"]
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if abs(ls - hs) < 1e-9:
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kind = "matched"
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note = "hedged at %s" % _fmt_strike(ls)
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elif ls > hs:
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kind = "basis+"
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note = ("overlap %s-%s — both legs win in the gap"
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% (_fmt_strike(hs), _fmt_strike(ls)))
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else:
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kind = "basis-"
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note = ("gap %s-%s — neither leg wins between (basis risk)"
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% (_fmt_strike(ls), _fmt_strike(hs)))
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rows.append(_row_from_legs([_slice_leg(hg, q), _slice_leg(lo, q)],
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kind, True, note, asset, expiry,
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low_strike=ls, high_strike=hs))
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leftover = [_slice_leg(lo, rem_lo[i]) for i, lo in enumerate(lows)
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if rem_lo[i] > 1e-9]
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leftover += [_slice_leg(hg, rem_hi[i]) for i, hg in enumerate(highs)
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if rem_hi[i] > 1e-9]
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leftover += other
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return rows, leftover
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def _single_row(leg):
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pays = leg.get("_pays")
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strike = leg.get("_strike")
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if pays is True and strike is not None:
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note = "uncovered — pays only above %s" % _fmt_strike(strike)
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elif pays is False and strike is not None:
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note = "uncovered — pays only below %s" % _fmt_strike(strike)
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else:
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note = "unclassified leg"
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return _row_from_legs([leg], "single", False, note,
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leg.get("asset"), _exp_key(leg))
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def _paired(poly_pos, kalshi_pos):
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"""Recognize economic hedges from live holdings, not just curated pairs.
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Curated pairs.json (if present) only supplies authoritative strikes; the
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matching itself keys off each leg's economics so any cross-venue,
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opposite-direction hedge in the book is surfaced — matched or basis."""
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pairs = _load_pairs()
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tkr_strike = {p["kalshi_ticker"]: p.get("kalshi_strike")
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for p in pairs if p.get("kalshi_ticker")}
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slug_strike = {p["poly_slug"]: p.get("poly_strike")
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for p in pairs if p.get("poly_slug")}
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# Copy each leg so _classify's _pays/_strike/_dir scratch keys don't leak
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# into the dicts returned under "polymarket"/"kalshi".
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legs = [_classify(dict(p), tkr_strike, slug_strike)
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for p in list(poly_pos) + list(kalshi_pos)]
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buckets = {}
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for l in legs:
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buckets.setdefault((l.get("asset"), _exp_key(l)), []).append(l)
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pair_rows, single_rows = [], []
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for (asset, expiry), blegs in buckets.items():
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pr, leftover = _match_bucket(blegs, asset, expiry)
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pair_rows.extend(pr)
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single_rows.extend(_single_row(l) for l in leftover)
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pair_rows.sort(key=lambda r: (r["pnl"] if r["pnl"] is not None else 0),
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reverse=True)
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single_rows.sort(key=lambda r: (r["asset"] or "z", -(r["pnl"] or 0)))
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return pair_rows + single_rows
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def run_positions():
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+26
-5
@@ -416,12 +416,32 @@ function venuePanel(name, tag, v) {
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</tr></thead><tbody>${rows}</tbody></table></div>`;
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}
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function kindBadge(r) {
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const m = {
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matched: ["matched", "#16c784", "#16c78422"],
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"basis+": ["basis +", "#e0a93b", "#e0a93b22"],
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"basis-": ["basis −", "#ef5350", "#ef535022"],
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single: ["one leg", "#8a93a6", "#8a93a622"],
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};
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const [label, fg, bg] = m[r.kind] || m.single;
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return `<span class="kindpill" style="background:${bg};color:${fg}">${label}</span>`;
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}
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function strikeBand(r) {
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if (r.low_strike == null && r.high_strike == null) return "";
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const f = (v) => (v == null ? "?" : v >= 1000 ? `${(v / 1000).toLocaleString()}k` : `${v}`);
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if (r.kind === "matched") return `<span class="dimv mono">@ ${f(r.low_strike)}</span>`;
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const lo = Math.min(r.low_strike, r.high_strike);
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const hi = Math.max(r.low_strike, r.high_strike);
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return `<span class="dimv mono">${f(lo)}–${f(hi)}</span>`;
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}
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function pairedView(rows) {
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if (!rows || !rows.length)
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return `<div class="vcard"><h4>Paired exposure</h4>
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<p class="dimv">No held positions match a known Kalshi↔Polymarket arb
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pair (pairs come from the Monthly map). Positions still show under
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<b>By venue</b>.</p></div>`;
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<p class="dimv">No held positions yet. Cross-venue hedges are matched
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automatically from your live book and shown here; everything also appears
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under <b>By venue</b>.</p></div>`;
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const body = rows.map((r) => {
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const legs = r.legs.map((l) => `<div class="leg2">
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<span class="tag ${l.venue === "Kalshi" ? "k" : "p"}">${l.venue[0]}</span>
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@@ -431,7 +451,8 @@ function pairedView(rows) {
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<span>${pnl(l.pnl)}</span></div>`).join("");
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return `<tr>
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<td class="l"><span class="achip" style="background:${ac(r.asset)}22;color:${ac(r.asset)}">${esc(r.asset || "?")}</span>
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${r.complete ? '<span class="okpill">paired</span>' : '<span class="onepill">one leg</span>'}</td>
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<div class="pairmeta">${kindBadge(r)} ${strikeBand(r)}</div>
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${r.note ? `<div class="dimv pairnote">${esc(r.note)}</div>` : ""}</td>
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<td class="l">${legs}</td>
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<td class="num">${usd(r.cost)}</td>
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<td class="num">${usd(r.value)}</td>
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@@ -440,7 +461,7 @@ function pairedView(rows) {
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}).join("");
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return `<div class="vcard"><h4>Paired / netted exposure</h4>
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<table class="ptbl"><thead><tr>
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<th class="l">Pair</th><th class="l">Legs</th>
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<th class="l">Hedge</th><th class="l">Legs</th>
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<th>Cost</th><th>Value</th><th>Net P&L</th>
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</tr></thead><tbody>${body}</tbody></table></div>`;
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}
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@@ -371,6 +371,11 @@ tr.detail td { padding: 0; border-bottom: 1px solid var(--line); }
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.onepill { font-size: 10px; font-weight: 700; color: var(--warn);
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background: var(--warn-d); padding: 2px 8px; border-radius: 999px;
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margin-left: 6px; }
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.kindpill { font-size: 10px; font-weight: 800; padding: 2px 8px;
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border-radius: 999px; letter-spacing: .02em; }
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.pairmeta { display: flex; align-items: center; gap: 7px; margin-top: 4px; }
|
||||
.pairnote { font-size: 10.5px; margin-top: 3px; max-width: 230px;
|
||||
line-height: 1.3; }
|
||||
.leg2 { display: flex; align-items: center; gap: 8px; padding: 3px 0;
|
||||
font-size: 12px; }
|
||||
.leg2 .tag { width: 16px; height: 16px; display: grid; place-items: center;
|
||||
|
||||
Reference in New Issue
Block a user