The Fastest Way to Learn How a Real Trading Bot Works

The Fastest Way to Learn How a Real Trading Bot Works

Big, complex bots can be overwhelming. This lightweight, heavily commented Python template strips an algorithmic futures strategy down to its essentials, so you can read it in an afternoon, understand every line and start building your own.

It's set up for MCL Micro WTI Crude Oil futures (NYMEX), and the same structure works for any market that provides OHLCV bars.

🎓 What You'll Learn From This Code

• Indicator calculation: RSI, EMA and ATR built from scratch
• Order-quality filtering: a bid/ask spread filter that avoids poor fills
• Trade management: a trailing stop that only tightens in the trade's favor
• Data safety: stale-feed protection that stops the bot trading on frozen data
• Modern architecture: an event-driven asyncio loop with structured JSON logging
• Clean separation of logic: strategy code kept apart from the data and broker connections, the way professional systems are built

📋 Specifications

📦 What You Receive

• ✅ bar_mcl_long_20260923_142618_gen2_portable.py
• ✅ Heavily commented code designed for learning
• ✅ Labelled placeholders for connecting data and execution

🚀 Ready for More?

Once you've mastered this template, step up to our Crude Oil Momentum Trading Bot, which adds an 8-indicator engine, volatility-scaled position sizing, scaled profit-taking and six layers of risk protection.

❓ FAQ

Is this a complete trading system?
It's a minimal, working strategy template, best used for learning and as a starting point for your own development.

Does it have a backtest?
An early backtest covered only 2 trades, which is far too few to be statistically meaningful. So we don't advertise performance figures. Please run your own tests.

Do I need Rithmic or Redis?
No. That code has been removed.