Build Your Own Investment/Trading Algorithm: Markets, Risk, and Python/AI

Von 92 $ /Std

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.

Ort

Online aus Vereinigte Staaten

Über mich

I’m John, a Swiss quantitative trader-developer (MSc Finance, HEC Lausanne). I build and operate 30+ live systematic strategies (equities, FX, crypto) and I love turning complex market ideas into simple, practical skills.

What makes my classes different

Risk-first: volatility targeting, drawdown limits, pre-trade checks, and post-trade reviews.

Production mindset: IBKR/FIX Gateway, MT5, SQL, Docker; clean data + realistic costs/slippage.

Evidence over hype: out-of-sample testing, walk-forward, and clear baselines.

How we work

Short concept explained clearly.

Hands-on build (e.g., SPY risk metrics, macro dashboard, factor screen, or a simple Python/TradingView strategy).

Recap with templates, checklists, and a mini-project to keep you progressing.

Who I teach

High-school (16+) / University / Professionals

Career switchers and active investors seeking discipline and structure

Coding optional—I provide starter notebooks and adapt the pace

Topics you can mix & match
Financial markets basics · Macroeconomics for investors · Portfolio design & risk · Python/AI for finance (sentiment, simple ML) · Building your own algorithm (momentum, mean reversion, factors) · Execution hygiene.

Logistics
Online only, English or French, with US time-zone availability.
Education only—no investment advice.

Bildung

Bachelor in Economics and Management - Minor in Finance - University of Geneva
Master of Science in Finance - Quantitative Asset and RIsk Management - University of Lausanne (HEC)

Erfahrung / Qualifikationen

Quantitative Trader and Developer +7years
BOTs.io - Etoro - Collective2 - Darwinex

Worked for several Hedge funds across the world to develop quantiative investment strategies

Alter

Erwachsene (18-64 Jahre alt)

Seniorinnen und Senioren (65+ Jahre alt)

Unterrichtsniveau

Anfänger

Mittel

Fortgeschritten

Dauer

30 Minuten

45 Minuten

60 Minuten

90 Minuten