I Built a DCA Crypto Tracker in Python — 200 Lines, Zero Dependencies

Dollar-Cost Averaging is the most boring, most effective way to build a crypto portfolio. Buy a fixed amount. Regularly. No matter the price. The problem? Most DCA tools are either oversimplified apps or expensive platforms that want your bank connection. So I built my own in Python — no external libraries, runs in your terminal, data stays local. Here is how it works. What the Tool Does Four features, all in CLI: Simulate — Enter your monthly budget, entry price, and current price → get ROI, total coins, projected value Add purchase — Log each buy (crypto, amount, price, date) → stored locally in JSON Portfolio summary — See all your positions with average cost basis and P&L DCA Planner — Set frequency (daily/weekly/monthly) → get your next purchase dates The Core: DCA Simulator def simulate_dca ( args ): monthly_amount = float ( input ( " Monthly investment (€): " )) entry_price = float ( input ( " Average entry price (€): " )) current_price = float ( input ( " Current price (€): " )