Hi! I’m John, a Swiss quantitative trader-developer with an MSc in Finance. I run 30+ systematic strategies (equities, FX, crypto) and love turning complex finance into clear, practical steps you can actually use. What you’ll learn (mix & match) Financial markets & macro basics: order types, ETFs vs. stocks, costs/slippage, yield curves, policy shocks, gold/Treasuries as hedges. Investing & portfolio: asset allocation, volatility targeting, drawdown control, rebalancing. Build your own strategy: momentum/mean reversion/factors, feature design, backtesting with costs, out-of-sample validation. AI for finance (intro): simple NLP/sentiment overlays and evaluation pitfalls. Execution hygiene: from backtest to real-life constraints; monitoring and post-trade review. How my classes work Short concept → hands-on build → recap & next steps. You leave each session with templates, checklists, and notebooks you can reuse. Who this is for: Motivated beginners to advanced: high-school (16+), university, career switchers, and active investors. Coding not required—helpful but optional. I adapt the pace and provide starter notebooks. Typical 5-lesson path (example) Markets & risk metrics (returns, drawdown, Sharpe) Portfolio & position sizing (target vol, costs) Macro dashboard & regime thinking Strategy prototype (momentum or mean-reversion) + OOS test Review, robustness checks, and next steps Format Online only, English or French. Schedules available in US time zones. Materials included: slides, worksheets, starter code, and public datasets. Education only — not investment advice.