🐱 Building a Rule-Based Trading System for Binance Futures

For the past few months, I’ve been developing an experimental automated trading system called MeowBot.

The project started with a simple question:

Can trading execution become more consistent when emotions are replaced by predefined rules?

Manual trading often involves:

• FOMO and late entries
• inconsistent position sizing
• changing the plan during a trade
• revenge trading after a loss
• entering because “this one will definitely move”

An algorithm cannot remove market risk.

But it can follow the same process every time:

Data → Setup Detection → Filters → Position Sizing → Entry → TP/SL Management

If the required conditions are met, the system can act.

If they aren’t, it waits.

And sometimes doing nothing is the most important decision.

Here I’ll document the development process and share:

📊 Performance metrics
📉 Drawdowns
❌ Losing trades and false signals
🧠 Strategy logic
💸 The impact of trading fees
🛠 Tests, mistakes and improvements
🤖 Replay and runtime sandbox results

This is not a promise of profit or a trading signal.

It’s a public development journal about automation, risk management and what the data actually shows.

Which metric matters most when evaluating a trading system?

ROI, win rate, drawdown or average result per trade?

#AlgorithmicTrading #BinanceFutures #RiskManagement #TradingSystem