diff --git a/README.md b/README.md index 671607a..8f25e19 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ This repository turns the book's quant research discipline into runtime guidance Each skill is a plain `SKILL.md` file with YAML frontmatter and concise procedural guidance. Installing them means putting each individual skill directory where your agent looks for skills, which `scripts/install.sh` does from a clone or from an unpacked [release archive](https://github.com/ml4t/skills/releases). -> **Next free session:** [How to Be Productive with Coding Agents, Beyond Code](https://maven.com/p/efe730), a 30-minute live session on **Wednesday, September 30, 2026, 11:00 AM ET / 15:00 UTC**. [All courses, workshops, and free lessons](https://ml4trading.io/courses/?utm_source=github&utm_medium=readme&utm_campaign=skills&utm_content=offerings). +> **Next free session:** [How to use AI Agents for Trading Strategy Research](https://maven.com/p/b146f5), a 30-minute live session on **Wednesday, October 28, 2026, 11:00 AM ET / 15:00 UTC**. [All courses, workshops, and free lessons](https://ml4trading.io/courses/?utm_source=github&utm_medium=readme&utm_campaign=skills&utm_content=offerings). ## Why Use These Skills @@ -209,17 +209,20 @@ The method in these files is also taught live, worked through on a real strategy | Starts | Offering | What you leave with | |--------|----------|---------------------| -| Oct 3, 2026 | [Engineering a Multi-Agent Forecasting System](https://maven.com/stefan-jansen/agent-engineering) | Build a multi-agent forecasting system whose reasoning is auditable end to end. | -| Oct 10, 2026 | [ML for Trading in the Age of AI Agents](https://maven.com/stefan-jansen/ml4t-ai-agents) | Build an agent-driven trading-research workflow with explicit data, validation, and deployment evidence. | -| Oct 24, 2026 | [Loop Engineering: Reliable Work From Coding Agents](https://maven.com/stefan-jansen/loop-engineering) | Get reliable work out of coding agents: harness design, verification, and recovery from a bad run. | +| Nov 21, 2026 | [Agent Engineering: Build, Evaluate, and Deploy AI Agents](https://maven.com/stefan-jansen/agent-engineering) | Build a multi-agent forecasting system whose reasoning is auditable end to end. | +| Dec 3 – Feb 18, 2027 | [ML for Trading: From Research to Production](https://maven.com/stefan-jansen/research-to-production) | Take one research idea from a question to a costed, monitored strategy, with the evidence trail that makes the result checkable. | +| Dec 12, 2026 | [ML for Trading in the Age of AI Agents](https://maven.com/stefan-jansen/ml4t-ai-agents) | Build an agent-driven trading-research workflow with explicit data, validation, and deployment evidence. | **Free live sessions.** Thirty minutes to an hour, no cost, recording sent to everyone who registers. | When | Session | |------|---------| -| Wed, Sep 30, 11:00 AM ET / 15:00 UTC | [How to Be Productive with Coding Agents, Beyond Code](https://maven.com/p/efe730) | -| Wed, Oct 7, 11:00 AM ET / 15:00 UTC | [How AI Agents Change the ML for Trading Workflow](https://maven.com/p/222e36) | -| Wed, Nov 4, 11:00 AM ET / 16:00 UTC | [Why Multi-Agent Systems Break, and How To Fix It](https://maven.com/p/393eee) | +| Wed, Oct 28, 11:00 AM ET / 15:00 UTC | [How to use AI Agents for Trading Strategy Research](https://maven.com/p/b146f5) | +| Wed, Nov 4, 11:00 AM ET / 16:00 UTC | [From ML Predictions to Trading Results](https://maven.com/p/f68a50) | +| Wed, Nov 11, 11:00 AM ET / 16:00 UTC | [Multi-Agent AI Systems: When They Help and How to Build Them](https://maven.com/p/393eee) | +| Thu, Nov 12, 11:00 AM ET / 16:00 UTC | [Trace an ML Trading Strategy from Data to Backtest](https://maven.com/p/cf69b8) | +| Wed, Nov 18, 11:00 AM ET / 16:00 UTC | [Build an ML for Trading Research Workflow with AI Agents](https://maven.com/p/b7d06f) | +| Wed, Nov 25, 11:00 AM ET / 16:00 UTC | [Open-Source Tools for ML Trading Research](https://maven.com/p/bb56cd) | *Between cohorts, the [**Insights** newsletter](https://insights.ml4trading.io/) covers the same ground weekly, source by source.*