Build‑your‑own Bloomberg: Python thread goes viral
A high‑engagement social thread laid out how to replicate roughly 90% of Bloomberg Terminal functionality using free Python libraries—practical for students building trading setups and data pipelines without expensive subscriptions. The walkthrough is being shared as a go‑to roadmap for quant side projects and interview portfolios. (x.com) (x.com)
Thread’s technical blueprint centres on OpenBB for orchestration, yfinance for basic market ticks and history, and NewsAPI for headline feeds, with pandas/Plotly/Streamlit used for ETL, charting and lightweight dashboards. (openbb.co) The walkthrough benchmarks itself against the commercial Bloomberg Terminal, which is commonly cited at roughly $24,000 per user per year as the price point many open stacks are trying to avoid. (dynamicbusiness.com) One common pattern in the thread is mixing open-source connectors like xbbg — a Python wrapper around Bloomberg’s services — with vendor APIs; xbbg exists on GitHub but its Bloomberg-backed features still require Bloomberg credentials and the platform’s API entitlements. (github.com) The thread leans on OpenBB-style tooling because OpenBB has migrated from a hobby CLI (the “Gamestonk” lineage) to a broader platform and claims integrations with on the order of 100 data sources for equities, options, crypto, FX and macro data. (openbb.co) Developers are publishing independent “terminal” projects and templates on GitHub that package feeds, backtests and simple UIs under “Bloomberg‑like” branding, including repos explicitly billed as free alternatives or CLI terminals for market research. (github.com) Practical artifacts referenced in the thread — Jupyter notebooks, OpenBB example notebooks and a community page with dozens of OpenBB-based projects — supply reusable code snippets and demo pipelines that can be forked into quant side projects or interview portfolio pieces. (my.openbb.co)
