🚀 Step 1 in Quantitative Trading: Building Your Own Data Engine ( PART 2 of 3)

In the previous video, we connected to OANDA’s API and successfully pulled every tradable instrument from our brokerage account — currencies, CFDs, and metals.
Now, it’s time to bring structure and meaning to that data.
In this Part 2 code-along, I’ll show you how to:
👉 Organise instruments into logical categories (Currency, CFD, Metal, etc.)
👉 Save those groupings into a reusable JSON file
👉 Begin fetching OHLCV (Open, High, Low, Close, Volume) data for each instrument
👉 Prepare your market dataset for deeper analysis
By the end of this episode, you’ll have a structured, ready-to-query database of tradable instruments — the backbone of any quant trading workflow.
💡 Next up: Part 3 — Merging OHLCV data and exporting your quant database.
Let’s keep building smarter, not just faster. ⚙️📊