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polymarket-bot/bot/data/polymarket.py
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2026-04-13 16:05:45 +00:00

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8.1 KiB
Python

"""
Polymarket CLOB API client.
Docs: https://docs.polymarket.com
"""
import asyncio
import logging
import os
from dataclasses import dataclass, field
from datetime import datetime, timezone, timedelta
from typing import Optional
import httpx
log = logging.getLogger(__name__)
POLYMARKET_API = "https://clob.polymarket.com"
GAMMA_API = "https://gamma-api.polymarket.com"
@dataclass
class Market:
id: str
condition_id: str
question: str
yes_token_id: str
no_token_id: str
yes_price: float # 0-1, current best ask for YES
no_price: float
volume_24h: float
end_date: str
active: bool
category: str = ""
@dataclass
class OrderBook:
market_id: str
yes_bids: list[tuple[float, float]] = field(default_factory=list) # (price, size)
yes_asks: list[tuple[float, float]] = field(default_factory=list)
mid_price: float = 0.5
class PolymarketClient:
"""
Async Polymarket client.
In paper mode, API key is not needed — only public data.
API key required for placing real orders.
"""
def __init__(self) -> None:
self.api_key = os.getenv("POLYMARKET_API_KEY", "")
self.secret = os.getenv("POLYMARKET_SECRET", "")
self.passphrase = os.getenv("POLYMARKET_PASSPHRASE", "")
self._client = httpx.AsyncClient(timeout=30)
# Keywords that identify crypto / finance markets.
# Short tickers are padded with spaces to avoid false substring matches
# (e.g. " eth " won't match "Hegseth"; " sol " won't match "solar").
_CRYPTO_FINANCE_KEYWORDS: list[str] = [
"bitcoin", "btc", " eth ", "ethereum", " sol ", "solana",
"xrp", "ripple", "dogecoin", "doge", "litecoin", "ltc",
"coinbase", "binance", "kraken", "bybit", "okx",
"usdc", "usdt", "stablecoin",
"defi", "nft", "blockchain", "crypto",
" fdv", "airdrop", "token launch", "token listing",
"microstrategy", "mstr", "saylor",
"nasdaq", "sp500", "s&p 500", "s&p500",
"federal reserve", "fed rate", "interest rate",
"inflation", "tariff", "treasury yield",
" ipo ", "sec ", "cftc",
]
@classmethod
def _is_crypto_finance(cls, question: str) -> bool:
q = f" {question.lower()} " # pad so edge keywords match cleanly
return any(kw in q for kw in cls._CRYPTO_FINANCE_KEYWORDS)
async def get_active_markets(
self,
min_volume: float = 1000,
pages: int = 3,
page_size: int = 200,
max_days_to_resolution: int = 30,
) -> list[Market]:
"""Fetch active crypto/finance markets from Gamma API (no auth needed).
Fetches events without tag filtering (tag= param is unreliable),
then keeps only markets whose question matches crypto/finance keywords
and that resolve within max_days_to_resolution days.
"""
seen: set[str] = set()
markets: list[Market] = []
cutoff = datetime.now(timezone.utc) + timedelta(days=max_days_to_resolution)
for page in range(pages):
try:
resp = await self._client.get(
f"{GAMMA_API}/events",
params={
"active": True,
"closed": False,
"limit": page_size,
"offset": page * page_size,
},
)
resp.raise_for_status()
events = resp.json()
if not events:
break # no more pages
for event in events:
event_title = event.get("title", "")
for m in event.get("markets", []):
try:
if not m.get("active") or m.get("closed"):
continue
question = m.get("question", "")
if not self._is_crypto_finance(question) and \
not self._is_crypto_finance(event_title):
continue
# Filter: only markets resolving within the cutoff window
# Gamma API may return endDate or end_date (snake_case)
raw_end = m.get("endDate") or m.get("end_date") or m.get("endDateIso", "")
if raw_end:
try:
end_dt = datetime.fromisoformat(
raw_end.replace("Z", "+00:00")
)
# Make naive datetimes UTC-aware before comparing
if end_dt.tzinfo is None:
end_dt = end_dt.replace(tzinfo=timezone.utc)
if end_dt > cutoff:
continue
except (ValueError, TypeError):
pass # keep market if date unparseable
market_id = str(m["id"])
if market_id in seen:
continue
vol = float(m.get("volume24hr", 0))
if vol < min_volume:
continue
raw_prices = m.get("outcomePrices", ["0.5", "0.5"])
if isinstance(raw_prices, str):
import json as _json
raw_prices = _json.loads(raw_prices)
yes_price = float(raw_prices[0])
raw_tokens = m.get("clobTokenIds", ["", ""])
if isinstance(raw_tokens, str):
import json as _json
raw_tokens = _json.loads(raw_tokens)
seen.add(market_id)
markets.append(Market(
id=market_id,
condition_id=m.get("conditionId", ""),
question=question,
yes_token_id=raw_tokens[0] if raw_tokens else "",
no_token_id=raw_tokens[1] if len(raw_tokens) > 1 else "",
yes_price=yes_price,
no_price=1 - yes_price,
volume_24h=vol,
end_date=m.get("endDate", ""),
active=True,
category="crypto/finance",
))
except (KeyError, ValueError, IndexError) as e:
log.debug("Skipping malformed market: %s", e)
except httpx.HTTPError as e:
log.error("Polymarket API error (page=%d): %s", page, e)
break
log.info(
"Loaded %d crypto/finance markets (min_vol=%.0f, resolving within %dd)",
len(markets), min_volume, max_days_to_resolution,
)
return markets
async def get_order_book(self, token_id: str) -> Optional[OrderBook]:
"""Get order book for a specific token."""
try:
resp = await self._client.get(
f"{POLYMARKET_API}/book",
params={"token_id": token_id},
)
resp.raise_for_status()
data = resp.json()
bids = [(float(b["price"]), float(b["size"])) for b in data.get("bids", [])]
asks = [(float(a["price"]), float(a["size"])) for a in data.get("asks", [])]
mid = 0.5
if bids and asks:
mid = (bids[0][0] + asks[0][0]) / 2
return OrderBook(
market_id=token_id,
yes_bids=bids,
yes_asks=asks,
mid_price=mid,
)
except Exception as e:
log.warning("Order book fetch failed for %s: %s", token_id, e)
return None
async def close(self) -> None:
await self._client.aclose()