Bitget Trading Bot in Python

This guide shows how to build a Bitget trading bot in Python with LumiBot, for both AI agent trading and algorithmic trading. LumiBot connects to Bitget through CCXT, the open source library that talks to more than 100 crypto exchanges. You will create a Bitget account and API key, connect it, and run two examples: a simple algorithmic trading bot and an agentic trading bot where an AI agent makes the calls.

Bitget at a glance

CCXT exchange id

bitget

Markets

Spot, Margin, Perpetual swaps, Dated futures

Testnet (sandbox)

No

Credentials

API key, API passphrase (CCXT calls it password), API secret

Live data streams

prices, order book, trades, candles, your orders, your balance, your positions

CCXT request spacing

about 50 ms between requests

Official site

https://www.bitget.com

API docs

https://www.bitget.com/api-doc/common/intro

Fees

https://www.bitget.cc/zh-CN/rate?tab=1

What is Bitget?

Bitget is a large crypto exchange with spot trading, margin, USDT and coin margined futures, and copy trading. Its newer Unified Trading Account keeps spot and futures in one account.

Sign up for Bitget

  1. Create a Bitget account on the website.

  2. Open Identity Verification from the profile icon and finish identity verification (KYC).

  3. Turn on two-factor authentication. Bitget asks for email, SMS and Google verification codes when you create an API key.

Open a Bitget account

Create a Bitget API key

  1. Log in on the Bitget website and open API Key Management (https://www.bitget.com/account/newapi). You can also reach it from your profile icon, then API.

  2. Click Create API.

  3. Add a note (a name) and type a passphrase. Write the passphrase down: Bitget cannot show it again, and you cannot change it later.

  4. Set the permissions (see below) and bind the IP address of the machine that runs your bot.

  5. Enter your email, SMS and Google verification codes.

  6. Copy the API key and secret key and store them with the passphrase.

Which permissions to turn on: Give the key read and write access for trading (Bitget calls this trade, read and write) so the bot can place and cancel orders. Read-only access to account information is enough for balances. Leave withdrawals off. A bot never needs to move money out of your account.

Warning

Never turn on withdrawals for a Bitget trading bot key. Bind the key to your server’s IP address when Bitget lets you, keep the secret out of your code and out of Git, and delete the key if it ever leaks.

Connect Bitget to LumiBot

The simplest way: put these lines in a .env file next to your strategy. LumiBot loads the file, sees TRADING_BROKER=bitget and connects to Bitget for you, so your strategy needs no broker code.

TRADING_BROKER=bitget
BITGET_API_KEY=your_apiKey
BITGET_API_PASSPHRASE=your_password
BITGET_API_SECRET=your_secret

LumiBot reads exactly the fields CCXT needs for Bitget (apiKey, password, secret). If one is missing, LumiBot stops at start-up and names the variable you still need.

You can also build the broker in code. This is handy when one script talks to more than one exchange, or when you need extra CCXT options. The keys in the config are CCXT’s own credential names for Bitget:

import os

BITGET_CONFIG = {
    "exchange_id": "bitget",
    "apiKey": os.environ.get("BITGET_API_KEY"),
    "password": os.environ.get("BITGET_API_PASSPHRASE"),
    "secret": os.environ.get("BITGET_API_SECRET"),
    "sandbox": False,  # no sandbox for this exchange
}

from lumibot.brokers import Ccxt

broker = Ccxt(BITGET_CONFIG)
# then: MyStrategy(broker=broker, ...)

Either way, LumiBot turns on CCXT’s built-in rate limiting for you.

Testing on Bitget

Bitget has no testnet in CCXT, so leave BITGET_SANDBOX unset, and in a code config set "sandbox": False. Bitget does have a demo trading mode with its own Demo API Keys (switch to Demo mode, then API Key Management), but LumiBot’s sandbox setting does not point there. Test with a very small amount instead.

Algorithmic trading example: a simple Bitget bot

This bot buys about 50 USDT of BTC on Bitget once and then holds it. It is a starting point to check that your keys, balances and orders work. If the exchange’s minimum order is larger, raise the amount.

from lumibot.entities import Asset
from lumibot.strategies import Strategy


class BitgetBuyOnce(Strategy):
    """Buy a small amount of BTC once, then hold it."""

    def initialize(self):
        self.sleeptime = "1H"
        self.set_market("24/7")  # crypto trades all day, every day

    def on_trading_iteration(self):
        coin = Asset("BTC", asset_type=Asset.AssetType.CRYPTO)
        if self.get_position(coin) is not None:
            return  # already holding BTC
        price = self.get_last_price(coin, quote=self.quote_asset)
        if price:
            quantity = round(50 / price, 6)  # about 50 USDT worth
            order = self.create_order(coin, quantity, "buy", quote=self.quote_asset)
            self.submit_order(order)


if __name__ == "__main__":
    # LumiBot reads TRADING_BROKER and the keys from your .env file.
    strategy = BitgetBuyOnce(quote_asset=Asset("USDT", asset_type=Asset.AssetType.CRYPTO))
    strategy.run_live()

Agentic trading example: an AI agent that trades on Bitget

Agentic trading means an AI agent reads the market and decides what to do. In this example one LumiBot agent looks at prices and your Bitget account, then places the orders itself. There is no Python logic in between: you set the rules in plain English in the prompt, such as what it may trade and how big each order can be. This follows the same pattern as LumiBot’s AI trading team examples.

from lumibot.entities import Asset
from lumibot.strategies import Strategy


class BitgetAITrader(Strategy):
    """One AI agent researches the market and places the trades itself."""

    def initialize(self):
        self.sleeptime = "4H"
        self.set_market("24/7")
        self.agents.create(
            name="trader",
            model="openai/gpt-6-luna",
            reasoning_effort="high",
            allow_trading=True,
            system_prompt=(
                "You manage a small crypto account on Bitget. "
                "You may trade BTC and ETH against USDT (asset_type 'crypto', quote_symbol 'USDT'), or hold cash. "
                "Before every order, call account_portfolio, account_positions and "
                "market_last_price for that exact symbol in the same run. "
                "Keep each order under 10% of the account value. "
                "Explain each decision in one short paragraph."
            ),
        )

    def on_trading_iteration(self):
        self.agents["trader"].run(
            task_prompt="Review recent BTC/USDT and ETH/USDT prices and your current holdings, then decide whether to buy, sell or hold.",
            context={"exchange": "Bitget", "quote": "USDT", "date": self.get_datetime().isoformat()},
        )


if __name__ == "__main__":
    # LumiBot reads TRADING_BROKER and the keys from your .env file.
    strategy = BitgetAITrader(quote_asset=Asset("USDT", asset_type=Asset.AssetType.CRYPTO))
    strategy.run_live()

The agent needs a model key such as OPENAI_API_KEY in your environment. See the AI agents quickstart for models, tools and memory.

What you can trade on Bitget through CCXT

Market

Listed by CCXT

Spot

Yes

Margin

Yes

Perpetual swaps

Yes

Dated futures

Yes

Options

No

CCXT lists these order features for Bitget: market orders, limit orders, stop orders, stop-loss orders, take-profit orders, editing open orders, canceling orders.

For perpetual contracts, use the full CCXT symbol so the settlement currency is clear, for example BTC/USDT:USDT. See the CCXT guide for contract quantities, position modes and leverage.

Bitget tips

  • Bitget needs three credentials: the API key, the secret key and your passphrase. Put the passphrase in BITGET_API_PASSPHRASE ("password" in a code config). If you lose the passphrase you must delete the key and make a new one.

  • Bitget strongly recommends binding an IP address to every API key. Each account can create up to 50 API keys.

  • Sub-accounts can create their own API keys once the main account turns on API Key Management for that sub-account. A separate sub-account per bot keeps bot trades apart from manual trades.

  • Spot symbols look like BTC/USDT. USDT perpetuals use the full CCXT form BTC/USDT:USDT.

Frequently asked questions

Can I build a Bitget trading bot in Python?

Yes. Install LumiBot (pip install lumibot), set your Bitget keys and use the bitget CCXT exchange id as shown above.

Does Bitget have a testnet?

No testnet is set up for Bitget in LumiBot. Start with a small amount, and in a code config set "sandbox": False.

Which API permissions does a Bitget bot need?

Give the key read and write access for trading (Bitget calls this trade, read and write) so the bot can place and cancel orders. Read-only access to account information is enough for balances. Leave withdrawals off. A bot never needs to move money out of your account.

Can an AI agent trade on Bitget by itself?

Yes. The agentic example above gives one agent permission to trade. You control what it may trade and how much through its prompt.

Can I trade Bitget perpetual futures with LumiBot?

CCXT lists perpetual swaps for this exchange. Use the full contract symbol, such as BTC/USDT:USDT.

Is LumiBot free?

Yes. LumiBot is open source on GitHub at https://github.com/Lumiwealth/lumibot. You pay only your exchange’s trading fees and, for AI agents, your model provider.

Run it in the cloud with BotSpot

Do not want to keep a computer running for your Bitget bot? BotSpot is the hosted home for LumiBot strategies and AI trading agents: build with AI, backtest, connect a broker, and watch every trade with logs and alerts.

Try BotSpot

Sources