:seo_title: Gemini Trading Bot in Python: AI Agent and Algorithmic Trading with LumiBot .. Generated by scripts/generate_ccxt_exchange_pages.py from docsrc/_data/. Edit the data, not this page. Gemini Trading Bot in Python ============================ .. meta:: :description: Build a Gemini trading bot in Python with LumiBot and CCXT. Create Gemini API keys, connect them, and run a regular or AI agent strategy. :keywords: Gemini trading bot, Gemini API, Gemini Python, agentic trading Gemini, AI trading bot Gemini, algorithmic trading Gemini, ccxt gemini This guide shows how to build a Gemini trading bot in Python with LumiBot, for both AI agent trading and algorithmic trading. LumiBot connects to Gemini through CCXT, the open source library that talks to more than 100 crypto exchanges. You will create a Gemini 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. Gemini at a glance ------------------ .. list-table:: :widths: 35 65 * - CCXT exchange id - ``gemini`` * - Markets - Spot, Perpetual swaps * - Testnet (sandbox) - Yes * - Credentials - API key, API secret * - Live data streams - order book, trades, candles, your orders * - CCXT request spacing - about 100 ms between requests * - Official site - https://gemini.com/ * - API docs - https://docs.gemini.com/rest-api * - Fees - https://gemini.com/api-fee-schedule What is Gemini? --------------- Gemini is a crypto exchange that offers spot crypto trading, perpetuals, margin and staking, with REST, WebSocket and FIX APIs. Sign up for Gemini ------------------ #. Sign up for a Gemini account at https://exchange.gemini.com/. #. Verify your identity by uploading a clear photo ID. Gemini only lets fully verified accounts create API keys. #. For practice, also register a separate account on the Gemini demo environment at https://exchange.sandbox.gemini.com. Gemini fills new demo accounts with test balances, and demo keys only work in the demo environment. `Open a Gemini account `_ Create a Gemini API key ----------------------- #. Log in and open the API settings page (https://exchange.gemini.com/settings/api). #. Click Create a new API Key. #. Choose the scope: the single account the bot should trade in (most people have one account called Primary). Avoid the Master scope, which reaches every account you have. #. Choose the Trading role (see below). #. Under IP Allow List pick Trusted IPs Only and add the IP address of the machine that runs your bot. Gemini recommends this for every key. #. Copy the API key and API secret and keep the secret private, like a password. **Which permissions to turn on:** Use the Trading role (Gemini also calls it Trader). It can check balances, place and cancel orders and view orders and trades. Do not add Fund Management, which can withdraw crypto, and leave the Master scope and Administrator role alone. A bot never needs to move money out of your account. .. warning:: Never turn on withdrawals for a Gemini trading bot key. Bind the key to your server's IP address when Gemini lets you, keep the secret out of your code and out of Git, and delete the key if it ever leaks. Connect Gemini to LumiBot ------------------------- The simplest way: put these lines in a ``.env`` file next to your strategy. LumiBot loads the file, sees ``TRADING_BROKER=gemini`` and connects to Gemini for you, so your strategy needs no broker code. .. code-block:: bash TRADING_BROKER=gemini GEMINI_API_KEY=your_apiKey GEMINI_API_SECRET=your_secret GEMINI_SANDBOX=true # testnet; remove this line for your live account LumiBot reads exactly the fields CCXT needs for Gemini (``apiKey``, ``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 Gemini: .. code-block:: python import os GEMINI_CONFIG = { "exchange_id": "gemini", "apiKey": os.environ.get("GEMINI_API_KEY"), "secret": os.environ.get("GEMINI_API_SECRET"), "sandbox": True, # testnet first; set False for your live account } from lumibot.brokers import Ccxt broker = Ccxt(GEMINI_CONFIG) # then: MyStrategy(broker=broker, ...) Either way, LumiBot turns on CCXT's built-in rate limiting for you. Practice on the Gemini testnet ------------------------------ Gemini runs a full demo environment (sandbox) at https://exchange.sandbox.gemini.com with test funds and simulated order book activity. Make a separate account and API key there. Set ``GEMINI_SANDBOX=true`` (or ``"sandbox": True`` in a code config) to use it. CCXT sends sandbox requests to: https://api.sandbox.gemini.com, https://docs.gemini.com. Testnet and live accounts use different keys. Algorithmic trading example: a simple Gemini bot ------------------------------------------------ This bot buys about 50 USD of BTC on Gemini 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. Gemini accepts only limit orders through CCXT, so the example places a limit order just above the last price. .. code-block:: python from lumibot.entities import Asset from lumibot.strategies import Strategy class GeminiBuyOnce(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 USD worth # This exchange takes only limit orders through CCXT. order = self.create_order(coin, quantity, "buy", limit_price=price * 1.002, quote=self.quote_asset) self.submit_order(order) if __name__ == "__main__": # LumiBot reads TRADING_BROKER and the keys from your .env file. strategy = GeminiBuyOnce(quote_asset=Asset("USD", asset_type=Asset.AssetType.CRYPTO)) strategy.run_live() Agentic trading example: an AI agent that trades on Gemini ---------------------------------------------------------- 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 Gemini 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. .. code-block:: python from lumibot.entities import Asset from lumibot.strategies import Strategy class GeminiAITrader(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 Gemini. " "You may trade BTC and ETH against USD (asset_type 'crypto', quote_symbol 'USD'), 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/USD and ETH/USD prices and your current holdings, then decide whether to buy, sell or hold.", context={"exchange": "Gemini", "quote": "USD", "date": self.get_datetime().isoformat()}, ) if __name__ == "__main__": # LumiBot reads TRADING_BROKER and the keys from your .env file. strategy = GeminiAITrader(quote_asset=Asset("USD", asset_type=Asset.AssetType.CRYPTO)) strategy.run_live() The agent needs a model key such as ``OPENAI_API_KEY`` in your environment. See the :doc:`AI agents quickstart ` for models, tools and memory. What you can trade on Gemini through CCXT ----------------------------------------- .. list-table:: :header-rows: 1 :widths: 40 60 * - Market - Listed by CCXT * - Spot - Yes * - Margin - Not listed by CCXT * - Perpetual swaps - Yes * - Dated futures - No * - Options - No CCXT lists these order features for Gemini: limit 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 :doc:`the CCXT guide ` for contract quantities, position modes and leverage. Gemini tips ----------- * A Gemini API key that is not used for 180 days expires and stops working. If a bot sits idle for months, plan to make a new key. * Give each bot its own key. Gemini says each application should have its own key so permissions stay separate. * Spot is plain ``BTC/USD``. Gemini perpetuals trade in a separate derivatives account and appear in CCXT as ``BTC/GUSD:GUSD``; you move funds there from your exchange account. * When you create a key, Gemini lets you pick a nonce mode. Time-based nonces need your computer clock within 30 seconds of Gemini's server time, so keep the clock synced. Frequently asked questions -------------------------- **Can I build a Gemini trading bot in Python?** Yes. Install LumiBot (``pip install lumibot``), set your Gemini keys and use the ``gemini`` CCXT exchange id as shown above. **Does Gemini have a testnet?** Yes. Set ``GEMINI_SANDBOX=true`` and use keys from the Gemini testnet. **Which API permissions does a Gemini bot need?** Use the Trading role (Gemini also calls it Trader). It can check balances, place and cancel orders and view orders and trades. Do not add Fund Management, which can withdraw crypto, and leave the Master scope and Administrator role alone. A bot never needs to move money out of your account. **Can an AI agent trade on Gemini 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 Gemini 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 Gemini 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 `_ Related guides -------------- * :doc:`CCXT crypto trading with LumiBot ` * :doc:`AI agents quickstart ` * :doc:`BigONE trading bot ` * :doc:`BingX trading bot ` * :doc:`Bitrue trading bot ` * :doc:`Bullish trading bot ` Sources ------- * `Gemini Support: How do I create an API key? `_ (read 2026-10-23) * `Gemini Support: Why am I unable to create an API key? `_ (read 2026-10-23) * `Gemini Support: How do I verify my identity in the app? `_ (read 2026-10-23) * `Gemini Support: derivatives account vs exchange account `_ (read 2026-10-23) * `Gemini Developer docs: Roles `_ (read 2026-10-23) * `Gemini Developer docs: API key authentication `_ (read 2026-10-23) * `Gemini Developer docs: Demo environment (sandbox) `_ (read 2026-10-23) * `Gemini Developer docs: Spot crypto `_ (read 2026-10-23) * Exchange id, URLs, markets, credentials and stream support: CCXT 4.5.64 metadata, generated 2026-10-23