Use case

Trader research

Find the traders worth following, across exchanges, before anyone copies them. Every source answers the same fields, so one script can rank OKX, Bybit and Hyperliquid traders side by side.

13 sources support it
Python
import os, requests

HEADERS = {"X-API-KEY": os.environ["KOPYON_KEY"]}
API = "https://api.kopyon.com/v5"

rows = []
for source in ["okx-copy-trading", "bybit-copy-trading", "bitget-copy-trading"]:
    traders = requests.get(f"{API}/{source}/traders", params={"period": "30D"},
                           headers=HEADERS).json()["data"]["traders"]
    for trader in traders[:10]:
        perf = requests.get(f"{API}/{source}/performance",
                            params={"traderId": trader["traderId"], "period": "30D"},
                            headers=HEADERS).json()["data"]
        rows.append((source, trader["name"], perf.get("roi"), perf.get("maxDrawdown")))

for row in sorted(rows, key=lambda r: r[2] or 0, reverse=True):
    print(*row)
How it works

Three steps

1. Rank

Read each exchange's ranking with traders, over the period you care about.

2. Measure

performance gives PnL, ROI, win rate and drawdown for any period.

3. Inspect

positionHistory shows every closed trade, with its size, leverage and result.


Build your trader research.

The free tier is 10,000 requests a month. That is enough to build a whole integration and test it against live data before you pay anything.

Usually answered within a day · [email protected]