Live Events & Webinars

Join our community sessions where traders share strategies, the team reveals platform insights, and experts answer your questions live.

Upcoming Events

Reserve your spot — participation is free for waitlist members.

Aug
12
Webinar

From Zero to Live: Building Your First Automated Strategy

A step-by-step walkthrough of describing, testing, and deploying a complete trading strategy on AI-Backbone — no experience required.

60 min · 7:00 PM CET · Online
Aug
19
Live Q&A

Ask the AI Team: Strategy Optimization Deep Dive

Bring your strategy ideas and get direct feedback from our AI engineers. We will analyze your approach and suggest improvements in real time.

45 min · 6:00 PM CET · Online
Sep
03
Workshop

Multi-Broker Deployment: One Strategy, 19 Platforms

Learn how to take a single automated strategy and deploy it across MetaTrader, cTrader, TradingView, and crypto exchanges simultaneously.

90 min · 5:00 PM CET · Online
Sep
10
Webinar

Risk Management in Automated Trading: Beyond Stop Losses

Position sizing, drawdown limits, volatility filters, and portfolio-level risk — how to configure guardrails that actually protect your capital.

60 min · 7:00 PM CET · Online
Sep
24
Group Meeting

Community Strategy Review: Share, Learn, Improve

Monthly peer review session where members present their strategies and get feedback from the community and the AI-Backbone team.

60 min · 6:30 PM CET · Online

Past Events

Replays are available for waitlist members.

Jul
22
Webinar

Why Most EAs Fail and How AI Fixes That

An honest look at the black-box EA industry and how AI-Backbone's transparent approach fundamentally changes the game.

60 min · Recorded
Jul
08
Live Q&A

Getting Started with the AI-Harness Engine

Introduction to the knowledge hub, strategy optimization pipeline, and probabilistic backtesting features.

45 min · Recorded
Jun
25
Workshop

Describing Strategies in Natural Language — Best Practices

How to structure your trading ideas for maximum AI comprehension and optimization results.

90 min · Recorded