Starting my NOII backtesting project aka my 2nd project
Just an outline for now, learning how to structure the process and actually put the idea to the test
Going to document the process and see where the data takes me. I was requested to do this via TikTok DM
Peptide sourcing matters. I partnered with VNG Labs (https://t.co/0ZIhfGijCI) because of their focus on independent testing, lot-matched COAs, identity/purity verification, and transparency. Use code JANE for 10% off at checkout!
Just completed LinkedIn Learning’s Algorithmic Trading and Stocks Essential Training 📈 Learned the fundamentals of algorithmic trading, quantitative strategies, regressions, backtesting, and building trading algorithms. Time to put it into practice.
https://t.co/fnwockMTsY
HBM demand is getting extreme as AI infrastructure continues to scale. $MU 2026 HBM production is sold out. If supply stays tight, pricing power should drive higher margins and stronger earnings. I think the market is underestimating how much upside this could create for $MU
@LicenseProApp@Leooweb3 Not necessarily “dumbass” that only works if the drop is temporary and you can hold through more downside. Nobody can tell you if this is a bottom or the start of something longer. Middle East tensions and stalled crypto regulation are still unresolved issues right now.
@sl1ma4@X Hey! Into Python, AI & Data Science, with a focus on quantitative finance. Always down to connect with people building and learning in the space
@omarvvvr I mean it’s becoming less about writing every line yourself and more about knowing what to build, how to direct AI, and how to spot when it’s wrong. I would NEVER code if I didn’t have AI assistance. However, builders who understand both have the real edge.
@Samdurn40 The Data Center numbers stand out for sureeee. If AMD keeps taking market share in AI while maintaining this kind of growth, the long term setup looks pretty strong.
@riwajrise Not really a startup but I’m learning Python + quant by building projects. This is one of my first: S&P 500 backtesting strategy
https://t.co/Vjo7Wdc3i4
Built and documented an S&P 500 backtesting project in @clcoding to evaluate a 200-day moving average strategy against a buy-and-hold benchmark. Analyzed returns, drawdowns, and performance while accounting for key backtesting limitations. #python GitHub: https://t.co/Vjo7Wdc3i4