AdrianoDev
683 lines
24 KiB
Python
683 lines
24 KiB
Python
from __future__ import annotations
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import asyncio
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from typing import Any
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from pybit.unified_trading import HTTP
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from cerbero_mcp.common import indicators as ind
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from cerbero_mcp.common import microstructure as micro
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def _f(v: Any) -> float | None:
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try:
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return float(v)
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except (TypeError, ValueError):
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return None
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def _i(v: Any) -> int | None:
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try:
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return int(v)
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except (TypeError, ValueError):
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return None
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class BybitClient:
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def __init__(
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self,
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api_key: str,
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api_secret: str,
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testnet: bool = True,
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http: Any | None = None,
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base_url: str | None = None,
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) -> None:
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self.api_key = api_key
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self.api_secret = api_secret
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self.testnet = testnet
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# pybit HTTP non accetta `endpoint` come kwarg (vedi _V5HTTPManager.__init__:
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# solo `domain`/`tld`/`testnet`). Override URL applicato post-init
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# sovrascrivendo l'attributo `endpoint` dell'istanza HTTP.
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self.base_url = base_url
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if http is None:
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http = HTTP(
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api_key=api_key,
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api_secret=api_secret,
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testnet=testnet,
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)
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if base_url:
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http.endpoint = base_url
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self._http = http
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async def _run(self, fn, /, **kwargs):
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return await asyncio.to_thread(fn, **kwargs)
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@staticmethod
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def _parse_ticker(row: dict) -> dict:
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return {
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"symbol": row.get("symbol"),
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"last_price": _f(row.get("lastPrice")),
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"mark_price": _f(row.get("markPrice")),
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"bid": _f(row.get("bid1Price")),
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"ask": _f(row.get("ask1Price")),
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"volume_24h": _f(row.get("volume24h")),
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"turnover_24h": _f(row.get("turnover24h")),
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"funding_rate": _f(row.get("fundingRate")),
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"open_interest": _f(row.get("openInterest")),
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}
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async def get_ticker(self, symbol: str, category: str = "linear") -> dict:
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resp = await self._run(
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self._http.get_tickers, category=category, symbol=symbol
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)
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rows = (resp.get("result") or {}).get("list") or []
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if not rows:
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return {"symbol": symbol, "error": "not_found"}
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return self._parse_ticker(rows[0])
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async def get_ticker_batch(
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self, symbols: list[str], category: str = "linear"
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) -> dict[str, dict]:
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out: dict[str, dict] = {}
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for sym in symbols:
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out[sym] = await self.get_ticker(sym, category=category)
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return out
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async def get_orderbook(
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self, symbol: str, category: str = "linear", limit: int = 50
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) -> dict:
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resp = await self._run(
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self._http.get_orderbook, category=category, symbol=symbol, limit=limit
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)
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r = resp.get("result") or {}
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return {
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"symbol": r.get("s"),
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"bids": [[float(p), float(q)] for p, q in (r.get("b") or [])],
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"asks": [[float(p), float(q)] for p, q in (r.get("a") or [])],
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"timestamp": r.get("ts"),
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}
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async def get_historical(
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self,
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symbol: str,
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category: str = "linear",
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interval: str = "60",
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start: int | None = None,
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end: int | None = None,
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limit: int = 1000,
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) -> dict:
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kwargs = dict(
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category=category,
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symbol=symbol,
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interval=interval,
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limit=limit,
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)
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if start is not None:
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kwargs["start"] = start
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if end is not None:
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kwargs["end"] = end
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resp = await self._run(self._http.get_kline, **kwargs)
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rows = (resp.get("result") or {}).get("list") or []
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rows_sorted = sorted(rows, key=lambda r: int(r[0]))
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candles = [
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{
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"timestamp": int(r[0]),
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"open": float(r[1]),
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"high": float(r[2]),
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"low": float(r[3]),
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"close": float(r[4]),
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"volume": float(r[5]),
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}
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for r in rows_sorted
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]
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return {"symbol": symbol, "candles": candles}
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async def get_indicators(
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self,
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symbol: str,
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category: str = "linear",
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indicators: list[str] | None = None,
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interval: str = "60",
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start: int | None = None,
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end: int | None = None,
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) -> dict:
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indicators = indicators or ["rsi", "atr", "macd", "adx"]
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historical = await self.get_historical(
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symbol, category=category, interval=interval, start=start, end=end
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)
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candles = historical.get("candles", [])
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closes = [c["close"] for c in candles]
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highs = [c["high"] for c in candles]
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lows = [c["low"] for c in candles]
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out: dict[str, Any] = {"symbol": symbol, "category": category}
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for name in indicators:
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n = name.lower()
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if n == "sma":
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out["sma"] = ind.sma(closes, 20)
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elif n == "rsi":
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out["rsi"] = ind.rsi(closes)
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elif n == "atr":
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out["atr"] = ind.atr(highs, lows, closes)
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elif n == "macd":
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out["macd"] = ind.macd(closes)
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elif n == "adx":
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out["adx"] = ind.adx(highs, lows, closes)
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else:
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out[n] = None
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return out
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async def get_funding_rate(self, symbol: str, category: str = "linear") -> dict:
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resp = await self._run(
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self._http.get_tickers, category=category, symbol=symbol
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)
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rows = (resp.get("result") or {}).get("list") or []
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if not rows:
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return {"symbol": symbol, "error": "not_found"}
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row = rows[0]
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return {
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"symbol": row.get("symbol"),
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"funding_rate": _f(row.get("fundingRate")),
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"next_funding_time": _i(row.get("nextFundingTime")),
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}
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async def get_funding_history(
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self, symbol: str, category: str = "linear", limit: int = 100
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) -> dict:
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resp = await self._run(
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self._http.get_funding_rate_history,
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category=category, symbol=symbol, limit=limit,
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)
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rows = (resp.get("result") or {}).get("list") or []
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hist = [
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{
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"timestamp": int(r.get("fundingRateTimestamp", 0)),
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"rate": float(r.get("fundingRate", 0)),
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}
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for r in rows
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]
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return {"symbol": symbol, "history": hist}
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async def get_open_interest(
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self,
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symbol: str,
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category: str = "linear",
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interval: str = "5min",
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limit: int = 288,
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) -> dict:
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resp = await self._run(
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self._http.get_open_interest,
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category=category, symbol=symbol, intervalTime=interval, limit=limit,
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)
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rows = (resp.get("result") or {}).get("list") or []
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points = [
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{
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"timestamp": int(r.get("timestamp", 0)),
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"oi": float(r.get("openInterest", 0)),
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}
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for r in rows
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]
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current_oi = points[0]["oi"] if points else None
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return {
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"symbol": symbol,
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"category": category,
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"interval": interval,
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"current_oi": current_oi,
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"points": points,
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}
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async def get_instruments(self, category: str = "linear", symbol: str | None = None) -> dict:
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kwargs: dict[str, Any] = {"category": category}
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if symbol:
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kwargs["symbol"] = symbol
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resp = await self._run(self._http.get_instruments_info, **kwargs)
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rows = (resp.get("result") or {}).get("list") or []
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instruments = []
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for r in rows:
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pf = r.get("priceFilter") or {}
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lf = r.get("lotSizeFilter") or {}
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instruments.append({
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"symbol": r.get("symbol"),
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"status": r.get("status"),
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"base_coin": r.get("baseCoin"),
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"quote_coin": r.get("quoteCoin"),
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"tick_size": _f(pf.get("tickSize")),
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"qty_step": _f(lf.get("qtyStep")),
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"min_qty": _f(lf.get("minOrderQty")),
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})
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return {"category": category, "instruments": instruments}
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async def get_option_chain(self, base_coin: str, expiry: str | None = None) -> dict:
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kwargs: dict[str, Any] = {"category": "option", "baseCoin": base_coin.upper()}
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resp = await self._run(self._http.get_instruments_info, **kwargs)
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rows = (resp.get("result") or {}).get("list") or []
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options = []
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for r in rows:
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delivery = r.get("deliveryTime")
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if expiry and expiry not in r.get("symbol", ""):
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continue
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options.append({
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"symbol": r.get("symbol"),
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"base_coin": r.get("baseCoin"),
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"settle_coin": r.get("settleCoin"),
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"type": r.get("optionsType"),
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"launch_time": int(r.get("launchTime", 0)),
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"delivery_time": int(delivery) if delivery else None,
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})
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return {"base_coin": base_coin.upper(), "options": options}
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async def get_positions(
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self, category: str = "linear", settle_coin: str = "USDT"
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) -> list[dict]:
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kwargs: dict[str, Any] = {"category": category}
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if category in ("linear", "inverse"):
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kwargs["settleCoin"] = settle_coin
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resp = await self._run(self._http.get_positions, **kwargs)
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rows = (resp.get("result") or {}).get("list") or []
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out = []
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for r in rows:
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out.append({
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"symbol": r.get("symbol"),
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"side": r.get("side"),
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"size": _f(r.get("size")),
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"entry_price": _f(r.get("avgPrice")),
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"unrealized_pnl": _f(r.get("unrealisedPnl")),
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"leverage": _f(r.get("leverage")),
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"liquidation_price": _f(r.get("liqPrice")),
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"position_value": _f(r.get("positionValue")),
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})
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return out
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async def get_account_summary(self, account_type: str = "UNIFIED") -> dict:
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resp = await self._run(
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self._http.get_wallet_balance, accountType=account_type
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)
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rows = (resp.get("result") or {}).get("list") or []
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if not rows:
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return {"error": "no_account"}
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a = rows[0]
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coins = []
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for c in a.get("coin") or []:
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coins.append({
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"coin": c.get("coin"),
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"wallet_balance": _f(c.get("walletBalance")),
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"equity": _f(c.get("equity")),
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})
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return {
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"account_type": a.get("accountType"),
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"equity": _f(a.get("totalEquity")),
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"wallet_balance": _f(a.get("totalWalletBalance")),
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"margin_balance": _f(a.get("totalMarginBalance")),
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"available_balance": _f(a.get("totalAvailableBalance")),
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"unrealized_pnl": _f(a.get("totalPerpUPL")),
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"coins": coins,
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}
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async def get_trade_history(
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self, category: str = "linear", limit: int = 50
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) -> list[dict]:
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resp = await self._run(
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self._http.get_executions, category=category, limit=limit
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)
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rows = (resp.get("result") or {}).get("list") or []
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return [
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{
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"symbol": r.get("symbol"),
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"side": r.get("side"),
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"size": _f(r.get("execQty")),
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"price": _f(r.get("execPrice")),
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"fee": _f(r.get("execFee")),
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"timestamp": _i(r.get("execTime")),
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"order_id": r.get("orderId"),
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}
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for r in rows
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]
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async def get_open_orders(
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self,
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category: str = "linear",
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symbol: str | None = None,
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settle_coin: str = "USDT",
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) -> list[dict]:
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kwargs: dict[str, Any] = {"category": category}
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if category in ("linear", "inverse") and not symbol:
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kwargs["settleCoin"] = settle_coin
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if symbol:
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kwargs["symbol"] = symbol
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resp = await self._run(self._http.get_open_orders, **kwargs)
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rows = (resp.get("result") or {}).get("list") or []
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return [
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{
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"order_id": r.get("orderId"),
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"symbol": r.get("symbol"),
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"side": r.get("side"),
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"qty": _f(r.get("qty")),
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"price": _f(r.get("price")),
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"type": r.get("orderType"),
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"status": r.get("orderStatus"),
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"reduce_only": bool(r.get("reduceOnly")),
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}
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for r in rows
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]
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async def get_orderbook_imbalance(
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self,
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symbol: str,
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category: str = "linear",
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depth: int = 10,
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) -> dict:
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"""Microstructure: bid/ask imbalance ratio + microprice + slope."""
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ob = await self.get_orderbook(symbol=symbol, category=category, limit=max(depth, 50))
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result = micro.orderbook_imbalance(ob.get("bids") or [], ob.get("asks") or [], depth=depth)
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return {
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"symbol": symbol,
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"category": category,
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"depth": depth,
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**result,
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"timestamp": ob.get("timestamp"),
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}
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async def get_basis_term_structure(self, asset: str) -> dict:
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"""Basis curve futures (dated) vs perp + spot. Filtra contratti future
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BTCUSDT / ETHUSDT con scadenza, calcola annualized basis per ognuno.
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"""
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import datetime as _dt
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asset = asset.upper()
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spot = await self.get_ticker(f"{asset}USDT", category="spot")
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perp = await self.get_ticker(f"{asset}USDT", category="linear")
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sp = spot.get("last_price")
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pp = perp.get("last_price")
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# Lista futures dated (linear/inverse)
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instr = await self.get_instruments(category="linear")
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items = (instr.get("instruments") or [])
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futures = [
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x for x in items
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if x.get("symbol", "").startswith(f"{asset}-") or x.get("symbol", "").startswith(f"{asset}USDT-")
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]
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rows: list[dict[str, Any]] = []
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if sp:
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now_ms = int(_dt.datetime.now(_dt.UTC).timestamp() * 1000)
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for f in futures[:10]:
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tk = await self.get_ticker(f["symbol"], category="linear")
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fp = tk.get("last_price")
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expiry_ms = f.get("delivery_time")
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if not fp or not expiry_ms:
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continue
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days = max((int(expiry_ms) - now_ms) / 86_400_000, 1)
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basis_pct = 100.0 * (fp - sp) / sp
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annualized = basis_pct * 365.0 / days
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rows.append({
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"symbol": f["symbol"],
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"expiry_ms": int(expiry_ms),
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"days_to_expiry": round(days, 2),
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"future_price": fp,
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"basis_pct": round(basis_pct, 4),
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"annualized_basis_pct": round(annualized, 4),
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})
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rows.sort(key=lambda r: r["days_to_expiry"])
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return {
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"asset": asset,
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"spot_price": sp,
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"perp_price": pp,
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"perp_basis_pct": round(100.0 * (pp - sp) / sp, 4) if (sp and pp) else None,
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"term_structure": rows,
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"data_timestamp": _dt.datetime.now(_dt.UTC).isoformat(),
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}
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async def get_basis_spot_perp(self, asset: str) -> dict:
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asset = asset.upper()
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symbol = f"{asset}USDT"
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spot = await self.get_ticker(symbol, category="spot")
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perp = await self.get_ticker(symbol, category="linear")
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sp = spot.get("last_price")
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pp = perp.get("last_price")
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basis_abs = basis_pct = None
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if sp and pp:
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basis_abs = pp - sp
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basis_pct = 100.0 * basis_abs / sp
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return {
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"asset": asset,
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"symbol": symbol,
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"spot_price": sp,
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"perp_price": pp,
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"basis_abs": basis_abs,
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"basis_pct": basis_pct,
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"funding_rate": perp.get("funding_rate"),
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}
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def _envelope(self, resp: dict, payload: dict) -> dict:
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code = resp.get("retCode", 0)
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if code != 0:
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return {"error": resp.get("retMsg", "bybit_error"), "code": code}
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return payload
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async def place_order(
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self,
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category: str,
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symbol: str,
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side: str,
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qty: float,
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order_type: str = "Limit",
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price: float | None = None,
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tif: str = "GTC",
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reduce_only: bool = False,
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position_idx: int | None = None,
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) -> dict:
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kwargs: dict[str, Any] = {
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"category": category,
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"symbol": symbol,
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"side": side,
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"qty": str(qty),
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"orderType": order_type,
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"timeInForce": tif,
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"reduceOnly": reduce_only,
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}
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if price is not None:
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kwargs["price"] = str(price)
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if position_idx is not None:
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kwargs["positionIdx"] = position_idx
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if category == "option":
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import uuid
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kwargs["orderLinkId"] = f"cerbero-{uuid.uuid4().hex[:16]}"
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resp = await self._run(self._http.place_order, **kwargs)
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r = resp.get("result") or {}
|
|
return self._envelope(resp, {
|
|
"order_id": r.get("orderId"),
|
|
"order_link_id": r.get("orderLinkId"),
|
|
"status": "submitted",
|
|
})
|
|
|
|
async def place_combo_order(
|
|
self,
|
|
category: str,
|
|
legs: list[dict[str, Any]],
|
|
) -> dict:
|
|
"""Atomic multi-leg via /v5/order/create-batch (Bybit option only).
|
|
|
|
Bybit supporta batch_order solo su category='option'. Per perp/linear
|
|
usare loop di place_order (non atomic).
|
|
|
|
legs: [{symbol, side, qty, order_type, price?, tif?, reduce_only?}].
|
|
"""
|
|
if category != "option":
|
|
raise ValueError("place_combo_order: Bybit batch_order è disponibile solo su category='option'")
|
|
if len(legs) < 2:
|
|
raise ValueError("combo requires at least 2 legs")
|
|
|
|
import uuid
|
|
request: list[dict[str, Any]] = []
|
|
for leg in legs:
|
|
entry: dict[str, Any] = {
|
|
"symbol": leg["symbol"],
|
|
"side": leg["side"],
|
|
"qty": str(leg["qty"]),
|
|
"orderType": leg.get("order_type", "Limit"),
|
|
"timeInForce": leg.get("tif", "GTC"),
|
|
"reduceOnly": leg.get("reduce_only", False),
|
|
"orderLinkId": f"cerbero-{uuid.uuid4().hex[:16]}",
|
|
}
|
|
if leg.get("price") is not None:
|
|
entry["price"] = str(leg["price"])
|
|
request.append(entry)
|
|
|
|
resp = await self._run(self._http.place_batch_order, category=category, request=request)
|
|
result_list = (resp.get("result") or {}).get("list") or []
|
|
orders = [
|
|
{
|
|
"order_id": r.get("orderId"),
|
|
"order_link_id": r.get("orderLinkId"),
|
|
"status": "submitted",
|
|
}
|
|
for r in result_list
|
|
]
|
|
return self._envelope(resp, {"orders": orders})
|
|
|
|
async def amend_order(
|
|
self,
|
|
category: str,
|
|
symbol: str,
|
|
order_id: str,
|
|
new_qty: float | None = None,
|
|
new_price: float | None = None,
|
|
) -> dict:
|
|
kwargs: dict[str, Any] = {
|
|
"category": category,
|
|
"symbol": symbol,
|
|
"orderId": order_id,
|
|
}
|
|
if new_qty is not None:
|
|
kwargs["qty"] = str(new_qty)
|
|
if new_price is not None:
|
|
kwargs["price"] = str(new_price)
|
|
resp = await self._run(self._http.amend_order, **kwargs)
|
|
r = resp.get("result") or {}
|
|
return self._envelope(resp, {
|
|
"order_id": r.get("orderId", order_id),
|
|
"status": "amended",
|
|
})
|
|
|
|
async def cancel_order(
|
|
self, category: str, symbol: str, order_id: str
|
|
) -> dict:
|
|
resp = await self._run(
|
|
self._http.cancel_order,
|
|
category=category, symbol=symbol, orderId=order_id,
|
|
)
|
|
r = resp.get("result") or {}
|
|
return self._envelope(resp, {
|
|
"order_id": r.get("orderId", order_id),
|
|
"status": "cancelled",
|
|
})
|
|
|
|
async def cancel_all_orders(
|
|
self, category: str, symbol: str | None = None
|
|
) -> dict:
|
|
kwargs: dict[str, Any] = {"category": category}
|
|
if symbol:
|
|
kwargs["symbol"] = symbol
|
|
resp = await self._run(self._http.cancel_all_orders, **kwargs)
|
|
r = resp.get("result") or {}
|
|
ids = [x.get("orderId") for x in (r.get("list") or [])]
|
|
return self._envelope(resp, {
|
|
"cancelled_ids": ids,
|
|
"count": len(ids),
|
|
})
|
|
|
|
async def set_stop_loss(
|
|
self, category: str, symbol: str, stop_loss: float,
|
|
position_idx: int = 0,
|
|
) -> dict:
|
|
resp = await self._run(
|
|
self._http.set_trading_stop,
|
|
category=category, symbol=symbol,
|
|
stopLoss=str(stop_loss), positionIdx=position_idx,
|
|
)
|
|
return self._envelope(resp, {
|
|
"symbol": symbol, "stop_loss": stop_loss,
|
|
"status": "stop_loss_set",
|
|
})
|
|
|
|
async def set_take_profit(
|
|
self, category: str, symbol: str, take_profit: float,
|
|
position_idx: int = 0,
|
|
) -> dict:
|
|
resp = await self._run(
|
|
self._http.set_trading_stop,
|
|
category=category, symbol=symbol,
|
|
takeProfit=str(take_profit), positionIdx=position_idx,
|
|
)
|
|
return self._envelope(resp, {
|
|
"symbol": symbol, "take_profit": take_profit,
|
|
"status": "take_profit_set",
|
|
})
|
|
|
|
async def close_position(self, category: str, symbol: str) -> dict:
|
|
positions = await self.get_positions(category=category)
|
|
target = next((p for p in positions if p["symbol"] == symbol and (p["size"] or 0) > 0), None)
|
|
if not target:
|
|
return {"error": "no_open_position", "symbol": symbol}
|
|
close_side = "Sell" if target["side"] == "Buy" else "Buy"
|
|
return await self.place_order(
|
|
category=category,
|
|
symbol=symbol,
|
|
side=close_side,
|
|
qty=target["size"],
|
|
order_type="Market",
|
|
reduce_only=True,
|
|
tif="IOC",
|
|
)
|
|
|
|
async def set_leverage(
|
|
self, category: str, symbol: str, leverage: int
|
|
) -> dict:
|
|
resp = await self._run(
|
|
self._http.set_leverage,
|
|
category=category, symbol=symbol,
|
|
buyLeverage=str(leverage), sellLeverage=str(leverage),
|
|
)
|
|
return self._envelope(resp, {
|
|
"symbol": symbol, "leverage": leverage,
|
|
"status": "leverage_set",
|
|
})
|
|
|
|
async def switch_position_mode(
|
|
self, category: str, symbol: str, mode: str
|
|
) -> dict:
|
|
mode_code = 3 if mode.lower() == "hedge" else 0
|
|
resp = await self._run(
|
|
self._http.switch_position_mode,
|
|
category=category, symbol=symbol, mode=mode_code,
|
|
)
|
|
return self._envelope(resp, {
|
|
"symbol": symbol, "mode": mode,
|
|
"status": "mode_switched",
|
|
})
|
|
|
|
async def transfer_asset(
|
|
self,
|
|
coin: str,
|
|
amount: float,
|
|
from_type: str,
|
|
to_type: str,
|
|
) -> dict:
|
|
import uuid
|
|
resp = await self._run(
|
|
self._http.create_internal_transfer,
|
|
transferId=str(uuid.uuid4()),
|
|
coin=coin,
|
|
amount=str(amount),
|
|
fromAccountType=from_type,
|
|
toAccountType=to_type,
|
|
)
|
|
r = resp.get("result") or {}
|
|
return self._envelope(resp, {
|
|
"transfer_id": r.get("transferId"),
|
|
"coin": coin,
|
|
"amount": amount,
|
|
"status": "submitted",
|
|
})
|