How I Built a Profitable Crypto Trading Bot with Freqtrade and Bybit

How I Built a Profitable Crypto Trading Bot with Freqtrade and BybitMost crypto trading bots lose money. Not because algorithmic trading doesn't work, but because developers skip the boring parts -- backtesting, risk management, and proper validation. Here's how I built a system that actually performs, and the architecture decisions that made the difference.## Why FreqtradeI evaluated several frameworks before settling on Freqtrade. The alternatives -- CCXT-based custom solutions, Hummingbot, Jesse -- each had tradeoffs. Freqtrade won for three reasons:1. Native Bybit support with both spot and futures2. Built-in backtesting engine that accounts for fees and slippage3. Strategy abstraction that keeps signal logic separate from executionThe framework handles order management, position sizing, and exchange API quirks. You focus on the actual trading logic.## Architecture OverviewThe system runs on a VPS (Ubuntu, 2GB RAM is plenty) with this stack: Freqtrade (strategy engine) | +-- Bybit