A practical, production-leaning walkthrough of real-time Head-and-Shoulders detection using a lightweight CNN — then turning the model’s probability into a risk overlay (position-sizing gate) instead of a fragile “pattern-trading” signal
Computing – Data Science
Choosing the Right Python Docker Image for Finance Workloads
Benchmark-driven guide to choosing Python Docker images for finance: python:3.14-slim vs intel/python vs Anaconda, with Intel/AMD + BLAS/MKL + GIL threading decision tree.
AI Amplifying Human Expertise in Hedge Funds – Insights from the “Let’s Talk Evolution” Podcast
Recap of the “Let’s Talk Evolution” podcast with Jiri Pik, Ernie Chan, and Jared Broad on how AI amplifies hedge-fund workflows—alpha, risk, and development—plus “input engineering” and adoption hurdles.
How AI is Transforming Quant Trading – Insights from the Quantopian Book Conversation
Recap of Quantopian’s Oct 21, 2025 webinar with Jiri Pik, Ernie Chan, and Jared Broad: practical AI trading lessons, a QuantConnect live demo, and career advice.
Coding the Markets: AI Innovations and FinTech Career Insights (Webinar Recap)
NTU Singapore webinar recap with Jiri Pik, Ernie Chan, and QuantConnect’s Jared Broad: AI trading, fintech careers, and why judgment + reliability beat hype (slides).
Hands-On AI Trading with Python, QuantConnect, and AWS – Now Available!
Now available: Hands-On AI Trading with Python, QuantConnect & AWS—20+ AI trading algorithms with GitHub code, covering ML, DL, RL, LLMs, and risk.
Beyond the Crystal Ball: Perfect-Foresight Bitcoin Trading on QuantConnect
Explore a “perfect foresight” Bitcoin strategy on QuantConnect—an upper-bound benchmark that buys only when tomorrow’s close beats fees—plus copy-paste research code and results (BTC vs SPY).
Jiri Pik’s New Book “Hands-On AI Trading with Python, QuantConnect and AWS”
Announcing Wiley’s Hands-On AI Trading with Python, QuantConnect & AWS: 20+ worked AI trading strategies with full code, a structured workflow, and expert endorsements.
Most Performant Docker Base Images for Data Science on AWS Batch
Benchmark Docker base images for AWS Batch data-science jobs—Ubuntu vs official Python vs IntelPython—with practical guidance on when IntelPython wins for math-heavy workloads.
Review of the book “Cloud FinOps, 2nd Edition” by J.R. Storment, Mike Fuller, O’Reilly Media Inc. 2023
Critical review of Cloud FinOps, 2nd Edition (O’Reilly): argues FinOps shouldn’t be a separate persona, critiques framework claims, and notes missing actionable guidance.
Recent Posts
- Real-Time Head-and-Shoulders Pattern Detection for AI Trading Strategies
- Choosing the Right Python Docker Image for Finance Workloads
- AI Amplifying Human Expertise in Hedge Funds – Insights from the “Let’s Talk Evolution” Podcast
- How AI is Transforming Quant Trading – Insights from the Quantopian Book Conversation
- Coding the Markets: AI Innovations and FinTech Career Insights (Webinar Recap)
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