Tweet

• Source: https://x.com/KanikaBK/status/2042919910544986401
• Author: Kanika (@KanikaBK)
• Date captured: 2026-04-11
• integrated_into: pending

TL;DR

Thread listing 12 Python libraries for free market data covering 170K+ tickers — stocks, crypto, forex, economic indicators. No Bloomberg or expensive APIs needed. The tweet itself is mostly a video/image teaser — the actual library list is in the embedded video. Based on the category, the likely libraries include yfinance (which we already use), along with alternatives worth evaluating.

Key Takeaways

• We already use yfinance as our primary data provider — this is validation of the approach
• Worth checking the video for libraries we DON'T know about — potential improvements to our fetcher pipeline
• Categories mentioned: stocks, crypto, forex, economic indicators — we currently only do stocks + crypto
• Forex and economic indicator data could enhance our macro-commodities analysis (UUP, FXE, FXY correlations)

Resources to Extract (from the genre — video not accessible)

Confirmed Libraries from Thread (12 listed)