Generated by Rank Math SEO, this is an llms.txt file designed to help LLMs better understand and index this website. # Jiri Pik ## Sitemaps [XML Sitemap](https://jiripik.com/sitemap_index.xml): Includes all crawlable and indexable pages. ## Posts - [Does AI Trading Have an ESG Problem? Sustainability Is P&L You Haven’t Measured Yet — Join Us at CFA Institute Sustainable Investing Community Event on 30 September](https://jiripik.com/2026/09/16/ai-trading-esg-problem-cfa-webinar/): Does AI trading have an ESG problem? Join me, Philip Sun and Jared Broad at CFA Institute on 30 Sep for the AI Sustainability Ledger and a 90-day playbook. - [The Kronos Foundation Model Has 38,117 GitHub Stars — and Every Backtest Inside Its Training Window Is a Memory Test](https://jiripik.com/2026/08/31/kronos-foundation-model-validation/): Kronos foundation model review: why every pre-release backtest is a memory test, plus a walk-forward QuantConnect protocol and deflated Sharpe math. - [AI Text Watermarking Measures the Wrong Thing — And Anthropic Just Admitted It](https://jiripik.com/2026/08/18/ai-text-watermarking-measures-wrong-thing/): AI text watermarking just went live on Claude worldwide. One paraphrase pass kills 98% of the signal. Here's why the whole scheme is broken. - [One Prompt, One Stock, 360 Runs: How an LLM Gets a Trade Right and Still Can’t Be Trusted With It](https://jiripik.com/2026/08/09/one-prompt-one-stock-360-runs/): On 2 February 2022 Meta lost $230bn in a day. I gave a language model one careful prompt and ran it 360 times on that print. It called the direction right 60 times out of 60 — and produced 13 different trades. Here are the nine pitfalls, and the skill that fixes them. - [The LLM Ran the Backtest. That’s Exactly Why You Should Panic.](https://jiripik.com/2026/07/11/llm-designing-trading-strategies/): TL;DR: For a year the standard critique of LLM-designed strategies was "the model can't actually do the math — the backtest is hallucinated." That critique is now dead. ChatGPT, Claude and Gemini all execute real, sandboxed Python with pandas and Matplotlib (OpenAI, Anthropic, Google). The code runs. The Sharpe is computed, not written. And that is the trap: execution didn't fix the problem — it laundered it. A memorized price path, a best-of-fifty silent search, a snooped published factor — each now emerges as a real number from real code, which is far harder to dismiss than an obvious hallucination. I call this laundered alpha. Below: why the failure moved up the stack from arithmetic to epistemology, the April 2026 benchmark that proves runnable code is still the wrong code, what Man Group and Two Sigma actually built instead, the one place LLM-designed code genuinely works (+0.62 to +1.83 out-of-sample Sharpe, verified), and a due-diligence checklist you can run before any LLM strategy touches capital. - [Your LLM Doesn’t Pick Stocks — It Remembers Them](https://jiripik.com/2026/07/01/llm-stock-picking-look-ahead-bias/): What is look-ahead bias in LLM stock picking?Look-ahead bias is using information in a backtest that wasn't available at the simulated decision time. In LLM stock picking it's especially insidious because the future is memorized in the model's weights — for example, a model asked to assess 2019 airline risks may mention COVID-19, information no analyst had in 2019. - [“Make Medallion Fund”: I Ran the Viral One-Prompt Strategy. $1 Became $0.02.](https://jiripik.com/2026/06/11/llm-trading-strategies-medallion/): I took the viral "make medallion fund" prompt literally and backtested it. $1 became $0.02. Here's where LLM alpha actually lives. - [The Quant’s Guide to AI Coding Assistants: Why Copilot + Claude Opus Beat Everything Else in 2026](https://jiripik.com/2026/06/09/best-ai-coding-assistant-finance/): TL;DR: The best AI coding assistant for finance in 2026 isn't a single tool — it's a two-layer stack. I run GitHub Copilot for the inner loop (inline completions, Visual Studio's .NET firepower, GitHub-native PR approvals) and Claude Opus 4.8 for the outer loop (multi-file reasoning, refactors, debugging the math). Copilot has the better hands and the better integration; Opus has the better brain. Wrap both in a model council, ground them with MCP, and design your repo so the agent can actually read it — and you flip the industry's defining problem (66% of devs lose time to "almost-right" code) into a genuine multiplier. - [How Reinforcement Learning Cut My Portfolio Drawdown From −34% to −24% — Without Me Telling It How](https://jiripik.com/2026/05/31/reinforcement-learning-drawdown/): I cut my portfolio's max drawdown from −34% to −24% with reinforcement learning — without coding a single sell rule. Full PyTorch code and charts inside. - [Volmageddon & The 90-Second Rule: The $0.01 Stop That Would Have Saved $3 Billion](https://jiripik.com/2026/04/19/volmageddon-90-second-rule-lasso-stop-xiv/): On 5 Feb 2018, XIV lost 96% in 50 minutes. A LASSO stop from my book would have exited hours earlier. Full backtest in C# on QuantConnect. - [Every Trader Needs a Strategy Chest — AI Is How You Fill It](https://jiripik.com/2026/03/28/cnn-technical-analysis-pattern-detection/): Modern traders need a chest of strategies, not a single play. I break down how CNNs are transforming technical pattern detection — with 97% accuracy and a 1.8 Sharpe ratio from our head-and-shoulders overlay. - [Guest Lecture at Boston University — Teaching AI Trading from Singapore via Zoom](https://jiripik.com/2026/03/19/guest-lecture-boston-university-ai-trading-with-python-quantconnect/): I'm guest-lecturing via Zoom at Boston University on AI trading with my co-authors — here's what we're covering and why it matters. - [Charlie Munger’s Quality Investing — Coded in QuantConnect C#](https://jiripik.com/2026/03/17/charlie-munger-quantconnect/): I coded Charlie Munger's quality investing philosophy in QuantConnect C# — 10% CAGR over 11 years. Here's what worked and what didn't. - [The Case Against Oquant, Cure Data, Muhammad Ali, and Elliott Donnelley II](https://jiripik.com/2026/03/01/the-case-against-oquant-cure-data-muhammad-ali-elliott-donnelley-oquant-cure-data-muhammad-ali-elliott-donnelley/): I'm taking Oquant, Cure Data, Ali, and Donnelley to court across two countries. - [“My Life, I’m Taking the Crown” — What a Viral K-Pop Anthem Teaches Us About Asia’s Unstoppable Rise](https://jiripik.com/2026/02/19/asia-growth-mindset-leading-global-economic-trends/): Asia is building the future with 10-50 year national plans, AI superpowers, and relentless ambition. Europe is stuck at 1% growth, fighting itself with no vision. A viral AI-generated K-Pop anthem from South Korea captures this moment perfectly — "My Life, I'm taking the crown." This is the growth mindset operating at civilizational scale. - [Why I Moved from Zurich to Singapore After 10 Years: Rankings vs Reality for Startup Founders](https://jiripik.com/2026/01/17/zurich-vs-singapore-for-startups/): After 10 years in Zurich, I moved to Singapore. This is the founder’s, C-suite-level explanation: why city “connectedness” and “startup” rankings mislead, how their weights distort reality, and why Singapore became home for building RocketEdge.com. - [Real-Time Head-and-Shoulders Pattern Detection for AI Trading Strategies](https://jiripik.com/2025/12/30/real-time-head-and-shoulders-pattern-detection-for-ai-trading-strategies/): 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 - [Choosing the Right Python Docker Image for Finance Workloads](https://jiripik.com/2025/12/19/choosing-python-docker-image-performance-benchmark/): 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](https://jiripik.com/2025/12/02/ai-amplifying-human-expertise-in-hedge-funds-insights-from-the-lets-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](https://jiripik.com/2025/11/15/how-ai-is-transforming-insights-in-ai-quant-trading/): 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)](https://jiripik.com/2025/09/25/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). - [Mastering Mandarin: Embrace the Challenge and Reap the Rewards](https://jiripik.com/2025/06/20/mastering-mandarin-chinese-overcoming-the-challenge/): Master Mandarin efficiently: why it’s worth ~2,200 study hours, how to learn with HSK + sentence mining, characters + pinyin, and tools like Anki, Pleco, and trainchinese. - [Modern Ultra-Effective Software Development](https://jiripik.com/2025/04/05/modern-ultra-effective-software-development/): Modern “ultra-effective” software development with LLMs: automate boilerplate, experiment rapidly, and prioritize architecture, security, and cost using ChatGPT, Copilot, and JetBrains AI. - [The Obsolescence of AWS Certifications: A Cloud Architect’s Perspective](https://jiripik.com/2025/02/03/the-obsolescence-of-aws-certifications-a-cloud-architects-perspective/): Why AWS certifications are becoming obsolete: in the LLM era, memorization-based exams matter less than critical thinking and real-world architecture; plus why I won’t renew all 12 AWS certs in 2025. - [Hands-On AI Trading with Python, QuantConnect, and AWS – Now Available!](https://jiripik.com/2025/01/29/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 Exams and Certifications: What Really Predicts Success in Law, Tech, and Finance?](https://jiripik.com/2024/12/26/career-success-beyond-certifications/): Why exams and certifications rarely predict real performance: drawing on a Nevada Bar validity study and cross-industry experience, this post argues success comes from care, experimentation, trust, execution, and creativity. - [Beyond the Crystal Ball: Perfect-Foresight Bitcoin Trading on QuantConnect](https://jiripik.com/2024/12/22/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”](https://jiripik.com/2024/11/14/hands-on-ai-trading-with-python-book-pre-order-information-hands-on-ai-trading-with-python-book/): 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. - [Calibrating Judgment: The Podcasts That Transform My Travel Time](https://jiripik.com/2024/11/09/podcasts-for-better-judgment/): A practical podcast strategy to calibrate judgment: use Podsnacks email summaries for breadth, then selective 2× listening for nuance—plus a curated playlist (Acquired, FS, Freakonomics). - [Why You Should Never Join the AWS Community Builders Program](https://jiripik.com/2024/09/07/never-join-aws-community-builders-if-you-value-integrity/): A critique of the AWS Community Builders program: why it can resemble employment, delivers low value, rewards marketing over judgment, and may block careers. - [Most Performant Docker Base Images for Data Science on AWS Batch](https://jiripik.com/2023/12/17/most-performant-docker-image-for-data-science/): 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. - [AWS Credits & Discount Programs Overview](https://jiripik.com/2023/10/14/aws-credits-and-discount-programs/): AWS credits and discount programs explained: startup credits (Kickstarter/Activate), PoC + MAP funding, partner credits, and discounts like EDP, private pricing, and volume tiers. - [A Step-by-Step Guide to Efficiently Processing AWS Events’ Videos](https://jiripik.com/2023/06/25/efficiently-processing-aws-events-rapid-mastering-of-aws-events/): Process AWS Events videos efficiently: subscribe to YouTube Premium, track AWS YouTube channels in Feedly (unwatched-only), and generate fast insights/summaries with Eightify Pro. - [Lessons Learned from Having Passed all Twelve AWS Certification Exams](https://jiripik.com/2023/05/07/lessons-learned-from-having-passed-all-aws-certification-exams/): Lessons from passing all 12 AWS certification exams in a “one exam per month” marathon: what it proves, how to interpret others’ badges, exam patterns, and the best prep strategy. - [FinOps is dead, long live the Cloud Financial Management](https://jiripik.com/2023/02/18/finops-dead-cloud-financial-management-alive/): Why “FinOps” has lost meaning: a critique of the FinOps Foundation’s assumptions and incentives, and why “Cloud Financial Management” is clearer—plus notes on waste, effectiveness vs efficiency. - [How to move data from Google Cloud Storage to Seagate Lyve](https://jiripik.com/2022/10/25/moving-data-from-google-cloud-to-seagate-lyve-finance/): Move data from Google Cloud Storage to Seagate Lyve (S3-compatible, no egress fees) using rclone: create access keys, configure remotes, copy, and verify with AWS CLI. - [Review of the book “Cloud FinOps, 2nd Edition” by J.R. Storment, Mike Fuller, O’Reilly Media Inc. 2023](https://jiripik.com/2022/10/23/review-of-the-book-cloud-finops-2nd-edition-by-j-r-storment-mike-fuller-oreilly-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. - [Top 3 Performance Optimization Insights from using DevOps Guru for RDS](https://jiripik.com/2022/10/13/top-3-performance-optimization-insights-from-using-amazon-devops-guru-for-rds/): 3 DevOps Guru for RDS insights: rightsize Aurora/RDS, diagnose issues faster, and pinpoint anomalous SQL using Database Load + Performance Insights. - [Top 3 Lessons from Running 300+ Cost-effective Solutions on AWS](https://jiripik.com/2022/08/18/top-3-lessons-for-a-cloud-native-mindset/): Lessons from optimizing 300+ AWS workloads: stop reactive FinOps, design cloud-native architecture, choose cost/performance tradeoffs, and benchmark continuously. - [On AWS Certifications](https://jiripik.com/2022/07/12/on-aws-certifications/): Overview of AWS’s 12 certifications and a proven exam strategy: how AWS exams differ, best prep resources, recommended path, and the AWS Golden Jacket. - [NVIDIA Triton Spam Detection Engine of C-Suite Labs](https://jiripik.com/2022/06/30/nvidia-triton-spam-detection-engine-of-c-suite-labs/): Architecture of C-Suite Labs’ real-time spam detection engine using DistilBERT served on NVIDIA Triton (SageMaker), delivering ~2.4× throughput and far lower latency. - [AWS Graviton3 Adoption in ESW Capital](https://jiripik.com/2022/05/27/aws-graviton3-adoption-in-esw-capital/): ESW Capital’s migration of DevSpaces to AWS Graviton3: the Graviton2→3 journey, real build-time benchmarks for Node.js and Go, and lessons learned on cost/performance. - [CloudFix’s AWS Data Transfer Costs in the AWS Metropolis Infographics](https://jiripik.com/2022/05/02/cloudfixs-aws-data-transfer-costs-infographics/): CloudFix’s AWS data transfer cost infographics: why egress pricing is tricky, key nuances many miss, and how to dramatically reduce AWS data transfer spend (download). - [How to efficiently monitor AWS news with Feedly.com](https://jiripik.com/2022/04/03/efficiently-monitor-aws-news-aws-rss-feed-opml-feedly/): Monitor AWS updates efficiently with Feedly: import 265 curated AWS RSS feeds via OPML (including health updates) and get a clean stream of unread posts—saving hours daily. - [FinOps Foundation’s “FinOps Certified Professional” Certification](https://jiripik.com/2022/03/23/finops-cloud-financial-management-professional-certification/): Reflections on the FinOps Foundation FinOps Certified Professional: curriculum & framework, cost, and why it pays off—Slack access, peers, and signaling. - [Usage+Spend Forecasting on AWS with FinOps Foundation’s Best Practices](https://jiripik.com/2022/03/20/usage-spend-forecast-aws-cur-finops-foundation-insights/): FinOps forecasting on AWS: build a CUR + CloudWatch data lake in S3, query with Athena, forecast net unblended vs amortized costs, and present results clearly. - [Career Advice for a 20-Year-Old](https://jiripik.com/2022/02/19/essential-career-advice-career-advice-young-person/): Career advice for a 20-year-old: do hard things, build projects and a personal brand, grow your network, keep learning—plus health, money and location tips. - [On Books Reading](https://jiripik.com/2021/12/21/importance-of-book-reading-for-personal-growth/): Why read books and how to do it well: benefits, what to read, Kindle workflow, tracking your library with Book Connect, plus digests and audiobooks. - [Exploring Code of Hands-On Financial Trading w/ Python with DataSpell](https://jiripik.com/2021/09/11/hands-on-financial-trading-with-python-jetbrains-dataspell/): How to explore the Hands-On Financial Trading with Python codebase using JetBrains DataSpell—an IntelliJ-based Jupyter IDE with smarter assistance, interactivity, and debugging vs JupyterLab. - [List of All Amazon AWS RSS Feeds](https://jiripik.com/2021/09/02/list-of-all-aws-rss-feeds-list-of-all-aws-rss-feeds/): Complete list of Amazon AWS RSS feeds (as of Sep 2, 2021) across major AWS blogs—plus an OPML download to import everything into Feedly or your favorite RSS reader. ## Pages - [Work with me](https://jiripik.com/work-with-me/): I help founders and CEOs of hedge funds, asset managers, and fintechs choose what to build. Across Citi, Goldman Sachs, JPMorgan, and UBS, the systems were rarely the hard part — the decision was. - [Certifications](https://jiripik.com/certifications/): In today's fast-paced tech landscape, staying ahead of the curve is crucial. Jiri specializes in architecting Cloud-Based Ultra-Fast Distributed Complex Adaptive Systems across industries, leveraging certifications to drive innovation and excellence. - [Books](https://jiripik.com/books/): Two hands-on books with Python — written for quants and engineers moving from research notebooks to live, profitable strategies. - [About](https://jiripik.com/about/): AI Strategist & Cloud Architect · Quant Trader · Author · Founder & CEO, RocketEdge - [Jiri’s Insights](https://jiripik.com/insights/) - [Privacy Policy](https://jiripik.com/privacy-policy/): This Privacy Policy describes how your personal information is collected, used, and shared when you visit or make a purchase from https://jiripik.com (the “Site”). - [Home](https://jiripik.com/): Read the full bio → ## Categories - [AI/ML Frontiers](https://jiripik.com/category/computing/ai-ml-frontiers/) - [Books](https://jiripik.com/category/books/) - [Books - Book Reviews](https://jiripik.com/category/books/book-reviews/) - 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