Short-form tutorials covering specific techniques, tools, and patterns used in real algorithmic trading systems. No fluff, no filler.
Step-by-step walkthrough of building a mean-reversion RSI bot from scratch using ccxt and pandas.
How to use the vectorbt library to run fast, vectorised backtests without the overhead of event-driven frameworks.
Set up API keys, handle authentication, manage rate limits, and place your first programmatic order.
Common mistakes that lead to overfitted strategies and a systematic method for walk-forward validation.
Understanding the Kelly Criterion, its limitations in practice, and how to implement fractional Kelly sizing.
Identify and capture price discrepancies across Uniswap V3 pools using Python and web3.py.
A practical guide to computing MACD, Bollinger Bands, ATR, and more with the pandas-ta library.
Set up a Linux VPS, configure systemd for auto-restart, and monitor your bot with a simple Telegram notification system.
These tutorials are standalone. For a complete T0-to-T4 curriculum with labs, assessments, and certification, enrol in the full course track.