Bit2C Trading Bot in Python¶
This guide shows how to build a Bit2C trading bot in Python with LumiBot, for both AI agent trading and algorithmic trading. LumiBot connects to Bit2C through CCXT, the open source library that talks to more than 100 crypto exchanges. You will create a Bit2C 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.
Bit2C at a glance¶
CCXT exchange id |
|
Markets |
Spot |
Testnet (sandbox) |
No |
Credentials |
API key, API secret |
Live data streams |
None listed; LumiBot uses REST |
CCXT request spacing |
about 3000 ms between requests |
Official site |
|
API docs |
What is Bit2C?¶
Bit2C is a crypto exchange. You trade coins such as Bitcoin and Ethereum against the shekel.
Sign up for Bit2C¶
Register with your mobile phone number, then choose a username, a strong password and your email address.
Confirm your email with the link Bit2C sends, then confirm your phone with the link in the SMS.
Finish identity verification (KYC) and upload the documents Bit2C asks for before you trade.
Create a Bit2C API key¶
Log in to your Bit2C account.
Go to the API keys screen in your account settings.
Create a new API key. You can also edit or delete keys there.
Enter the code Bit2C sends you by SMS. Bit2C asks for this code every time you create, edit or delete a key.
Save the public key and the secret key somewhere safe.
Which permissions to turn on: Bit2C’s own pages do not list the permission names. Give the key what it needs to read your balance and orders and to trade. If the key screen offers withdrawals, leave them off.
Warning
Never turn on withdrawals for a Bit2C trading bot key. Bind the key to your server’s IP address when Bit2C lets you, keep the secret out of your code and out of Git, and delete the key if it ever leaks.
Connect Bit2C to LumiBot¶
The simplest way: put these lines in a .env file next to your strategy. LumiBot loads the file, sees TRADING_BROKER=bit2c and connects to Bit2C for you, so your strategy needs no broker code.
TRADING_BROKER=bit2c
BIT2C_API_KEY=your_apiKey
BIT2C_API_SECRET=your_secret
LumiBot reads exactly the fields CCXT needs for Bit2C (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 Bit2C:
import os
BIT2C_CONFIG = {
"exchange_id": "bit2c",
"apiKey": os.environ.get("BIT2C_API_KEY"),
"secret": os.environ.get("BIT2C_API_SECRET"),
"sandbox": False, # no sandbox for this exchange
}
from lumibot.brokers import Ccxt
broker = Ccxt(BIT2C_CONFIG)
# then: MyStrategy(broker=broker, ...)
Either way, LumiBot turns on CCXT’s built-in rate limiting for you.
Testing on Bit2C¶
Bit2C has no sandbox, so test with a very small amount. With environment variables, leave BIT2C_SANDBOX unset. In a code config, set "sandbox": False.
Algorithmic trading example: a simple Bit2C bot¶
This bot buys about 150 NIS of BTC on Bit2C 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 Bit2cBuyOnce(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(150 / price, 6) # about 150 NIS 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 = Bit2cBuyOnce(quote_asset=Asset("NIS", asset_type=Asset.AssetType.CRYPTO))
strategy.run_live()
Agentic trading example: an AI agent that trades on Bit2C¶
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 Bit2C 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 Bit2cAITrader(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 Bit2C. "
"You may trade BTC and ETH against NIS (asset_type 'crypto', quote_symbol 'NIS'), 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/NIS and ETH/NIS prices and your current holdings, then decide whether to buy, sell or hold.",
context={"exchange": "Bit2C", "quote": "NIS", "date": self.get_datetime().isoformat()},
)
if __name__ == "__main__":
# LumiBot reads TRADING_BROKER and the keys from your .env file.
strategy = Bit2cAITrader(quote_asset=Asset("NIS", 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 Bit2C through CCXT¶
Market |
Listed by CCXT |
|---|---|
Spot |
Yes |
Margin |
No |
Perpetual swaps |
No |
Dated futures |
No |
Options |
No |
CCXT lists these order features for Bit2C: market orders, limit orders, editing open orders, canceling orders.
Bit2C tips¶
Bit2C prices are in shekels, and CCXT names the pair
BTC/NIS.Bit2C uses two-step checks with a code sent by SMS. You need it to log in, to send crypto out, and to manage API keys, so keep your phone number current.
Every private request carries a nonce that must go up each time. Run only one bot per key so two programs do not fight over the nonce.
Frequently asked questions¶
Can I build a Bit2C trading bot in Python?
Yes. Install LumiBot (pip install lumibot), set your Bit2C keys and use the bit2c CCXT exchange id as shown above.
Does Bit2C have a testnet?
No testnet is set up for Bit2C in LumiBot. Start with a small amount, and in a code config set "sandbox": False.
Which API permissions does a Bit2C bot need?
Bit2C’s own pages do not list the permission names. Give the key what it needs to read your balance and orders and to trade. If the key screen offers withdrawals, leave them off.
Can an AI agent trade on Bit2C 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 Bit2C perpetual futures with LumiBot?
CCXT does not list perpetual swaps for Bit2C, so use spot markets.
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 Bit2C 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.
Sources¶
Bit2C API (read 2026-10-23)
Bit2C FAQ: registration and two-step verification (read 2026-10-23)
Bit2C guide: protecting your account with SMS two-step verification (read 2026-10-23)
Exchange id, URLs, markets, credentials and stream support: CCXT 4.5.64 metadata, generated 2026-10-23