1m 腿的滑点余量只有几个 bp,所以要测的必须是生产路径的滑点——换个运行时 测出来的数就不作数。框架因此从「滑点已知后再定」提前到测量阶段就定为 Hummingbot(Spot/Perp 连接器均 v2.0,Bitget 是 Foundation Partner)。 新增 research/live/。前置测量: - bench_compute.py 本机算力,1m 单币 0.318s、三币串行 1.38s - venue_parity.py Binance 与 Bitget 同根信号重合仅 14.6~42.6% - signal_sensitivity.py 0.25bp 扰动就换掉一半信号 - aggregate_robustness.py 但总体期望不降——脆的是信号身份,不是 alpha - bitget_baseline.py 因此改用 Bitget 原生基线定预算:余量 BTC -0.13bp、 ETH +4.02bp、SOL +2.92bp。BTC 本就为负,只作延迟测量的参照物 运行时选型: - parity_env.py 容器与本机信号逐一相同(下标、中枢数、checksum 全等), 容器内 0.26s/币反而更快。故 chanlun 直接挂载进容器,不必另起信号服务。 装进现有 .venv 那条路走不通:Hummingbot 要 numba>=0.61.2 与 aiohttp<3.14,与本机 Python 3.14 冲突 - latency_ccxt.py / latency_hummingbot.py / latency_compare.py 初测显示 Hummingbot 比 ccxt.pro 慢约 1030ms,90 根逐根配对里 80~97% 更慢 - probe_ws_action.py 否掉「丢弃 snapshot」的猜测:换根首条就是 update - probe_hb_vs_raw.py 与 latency_attribute.py 四路归因——容器网络 2~18ms、 Hummingbot 处理 -10~-30ms,1350~1480ms 全落在解析方式上 - probe_ws_payload.py 定位根因:Bitget 换根会推一条带两根的消息 [上一根, 新一根],而上游取 data["data"][0] 拿到的是上一根,新一根要等 下一条单元素消息 修复: - patched_candles.py 处理消息里的全部元素。不能简单改成 [-1]——那样上一根 的收盘价会永远停在换根前约 1 秒的那次推送上,而信号对 0.25bp 都敏感 - verify_patch.py 60 根配对验证:拿回 1060~1090ms,与原始 WS 只差 5~14ms 已贴理论下限,19 根已收盘 K 线 OHLCV 逐根未变。折算 ETH 省 0.54bp、 SOL 省 0.42bp。此 bug 值得向上游反馈 影子交易器: - shadow_hb.py 不下单,读连接器真实盘口按仓位吃单深度算成交价,与次根开盘价 (回测 entry_delay=1 的口径)相减,分解成延迟漂移、盘口价差、深度冲击。 盘口 10Hz 滚动缓冲 30 秒,把延迟变成自变量:每个信号记 0.5/1/2/5s 与实际 算完时刻各一个滑点值,本机算得慢也不影响能读出的曲线 - shadow_signal.py 信号计算隔离到子进程。0.26s 是纯 CPU 且 chanlun 受 GIL 限制,放进 asyncio 循环会把行情处理一起卡住 - shadow_report.py 首日延迟门槛与滑点曲线报表 不用 paper trade 测滑点:它的成交由 Hummingbot 自己的撮合模型模拟, 测出来是模型行为而非市场行为。 Co-authored-by: Cursor <cursoragent@cursor.com>
157 lines
6.6 KiB
Python
157 lines
6.6 KiB
Python
"""验证 Hummingbot 那 1030ms 的来源:Bitget candle1m 的 snapshot / update 序列。
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Hummingbot 的 bitget_perpetual candles feed 里有这么一句:
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if data and data.get("data") and data["action"] == "update":
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action == "snapshot" 的消息被整条丢弃。若新 K 线的首条推送恰是 snapshot,
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Hummingbot 就必须等到下一条 update 才知道换根了,代价约等于一个推送间隔。
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本脚本直接连原始 WS,对每条消息记录 action、K 线时间戳、到达时刻,
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然后针对每次换根回答两件事:
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1. 首条带新时间戳的消息,action 是什么
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2. 若是 snapshot,到首条 update 之间隔了多久(= Hummingbot 白等的时间)
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.venv/bin/python research/live/probe_ws_action.py --minutes 6
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"""
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from __future__ import annotations
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import argparse
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import asyncio
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import json
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import time
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from collections import defaultdict
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from pathlib import Path
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WSS = "wss://ws.bitget.com/v2/ws/public"
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SYMS = ("BTCUSDT", "ETHUSDT", "SOLUSDT")
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OUT = Path(__file__).resolve().parents[1] / "out" / "probe_ws_action.csv"
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async def run(minutes: int) -> None:
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import csv
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import aiohttp
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payload = {"op": "subscribe",
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"args": [{"instType": "USDT-FUTURES", "channel": "candle1m",
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"instId": s} for s in SYMS]}
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n_rows = 0
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# 每个币记录:当前时间戳、该时间戳下已见过的 action 序列
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cur: dict[str, int] = {}
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seen: dict[str, list] = defaultdict(list)
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rollovers: list[dict] = []
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cnt: dict = defaultdict(lambda: defaultdict(int))
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# 边收边写:进程若被杀,已采到的样本仍在盘上
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OUT.parent.mkdir(parents=True, exist_ok=True)
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fh = OUT.open("w", newline="")
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w = csv.DictWriter(fh, fieldnames=["t_ms", "sym", "action", "kline_ts"])
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w.writeheader()
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print(f"[原始 WS 探针] {SYMS} · candle1m · 跑 {minutes} 分钟", flush=True)
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deadline = time.time() + minutes * 60
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try:
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while time.time() < deadline:
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try:
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async with aiohttp.ClientSession() as sess, \
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sess.ws_connect(WSS, heartbeat=20) as ws:
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await ws.send_str(json.dumps(payload))
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while time.time() < deadline:
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msg = await ws.receive(timeout=30)
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# 断开后 receive() 会立刻返回 CLOSED;这里若只 continue
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# 就成了无等待空转,必须跳出去重连
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if msg.type is not aiohttp.WSMsgType.TEXT:
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print(f" 非文本消息 {msg.type},重连", flush=True)
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break
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raw = msg.data
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if raw == "pong":
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continue
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try:
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d = json.loads(raw)
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except Exception:
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continue
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if "data" not in d or "arg" not in d:
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if d.get("event"):
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print(f" 事件: {d}", flush=True)
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continue
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now_ms = int(time.time() * 1000)
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sym = d["arg"]["instId"]
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action = d.get("action")
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kts = int(d["data"][0][0])
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w.writerow({"t_ms": now_ms, "sym": sym,
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"action": action, "kline_ts": kts})
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n_rows += 1
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cnt[sym][action] += 1
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if n_rows % 50 == 0:
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fh.flush()
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prev = cur.get(sym)
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if prev is None:
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cur[sym] = kts
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seen[sym] = [(action, now_ms)]
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continue
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if kts > prev:
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cur[sym] = kts
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seen[sym] = [(action, now_ms)]
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rollovers.append({"sym": sym, "kline_ts": kts,
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"first_action": action,
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"first_ms": now_ms})
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print(f" {sym} 换根 -> 首条 action={action}",
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flush=True)
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else:
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seen[sym].append((action, now_ms))
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# 若首条是 snapshot,找该时间戳下首条 update 的延后量
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for r in rollovers:
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if (r["sym"] == sym and r["kline_ts"] == kts
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and r["first_action"] == "snapshot"
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and "gap_to_update_ms" not in r
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and action == "update"):
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r["gap_to_update_ms"] = now_ms - r["first_ms"]
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print(f" {sym} snapshot->update 间隔 "
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f"{r['gap_to_update_ms']}ms", flush=True)
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except asyncio.CancelledError:
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raise
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except Exception as e:
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print(f" 连接异常 {type(e).__name__}: {e},1s 后重连", flush=True)
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# 重连前固定歇一下,避免服务端持续拒绝时打成重连风暴
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if time.time() < deadline:
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await asyncio.sleep(1)
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finally:
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fh.close()
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print(f"\n########## 消息构成(共 {n_rows} 条)##########")
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for s in SYMS:
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print(f" {s}: {dict(cnt[s])}")
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print(f"\n########## 换根时首条消息的 action({len(rollovers)} 次)##########")
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by = defaultdict(lambda: defaultdict(int))
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gaps = defaultdict(list)
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for r in rollovers:
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by[r["sym"]][r["first_action"]] += 1
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if "gap_to_update_ms" in r:
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gaps[r["sym"]].append(r["gap_to_update_ms"])
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for s in SYMS:
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g = sorted(gaps[s])
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med = g[len(g) // 2] if g else None
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print(f" {s}: 首条 action 分布 {dict(by[s])}"
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+ (f" · snapshot->update 中位 {med}ms(n={len(g)})" if g else ""))
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all_g = sorted(x for v in gaps.values() for x in v)
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if all_g:
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print(f"\n合计 snapshot->update 中位 {all_g[len(all_g) // 2]}ms "
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f"(n={len(all_g)})——这就是 Hummingbot 因丢弃 snapshot 白等的时间")
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print(f"\n产物写入 {OUT}")
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def main() -> None:
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ap = argparse.ArgumentParser()
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ap.add_argument("--minutes", type=int, default=6)
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asyncio.run(run(ap.parse_args().minutes))
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if __name__ == "__main__":
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main()
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