Unit Testing Your Crypto Trading Bot

An untested crypto trading bot is a ticking time bomb. A single logic error in your position sizing formula or a missed null check in your API response parser can lead to catastrophic losses. Unit testing prevents this.

What to Test

Focus on: strategy signal generation (given these prices, do I get the right signal?), risk management rules (does the bot halt when drawdown exceeds threshold?), and order construction (is the right quantity and price calculated?). You do not need to test the exchange API itself—mock it.

Python: Using pytest and unittest.mock

from unittest.mock import MagicMock\ndef test_sma_signal():\n    prices = [100] * 49 + [110]\n    bot = SmaBot()\n    bot.exchange = MagicMock()\n    bot.run(prices)\n    bot.exchange.place_order.assert_called_once_with("buy")

C#: xUnit for .NET Trading Systems

In algorithmic trading with c#, use xUnit or NUnit. Inject your exchange client interface via constructor injection so you can swap in a mock for testing. This is the standard pattern in any serious build trading bot with .net project.