Скачать или смотреть I Built My Own High-Speed Backtesting Engine (And It Changed Everything)

After years of skipping backtests, I finally built my own custom backtesting system — from scratch.

In this video, I walk you through how I:

Discovered the power of 1-second datasets from Databento

Started with PowerShell (bad idea 😅) and shifted to Python

Scaled async backtests across weeks of futures data

Leveraged AWS Spot Instances for serious compute power

Built a frontend that looks and feels like Tradovate

And now… I’m integrating AI to auto-generate and analyze strategies

This isn’t just a tech demo — it’s the story of how building a tool changed the way I think about trading, development, and even what’s possible as a solo creator.

💬 If you want access, have ideas, or want to collaborate — drop a comment or DM me.
I’m considering open-sourcing the full project if there’s enough interest.

👨‍💻 Tech Stack:

Python (async multiprocessing)

AWS EC2 Spot Instances (192-core, 1TB RAM)

Databento market data

Custom CSV-based strategy configs

Flask (frontend)

GPT for future AI modules

🔗 Stay tuned for future releases — this is just the beginning.

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