Build Your Own Investment/ Trading Algorithm: Markets, Risk, and Python/ AI
From 70.57 £ /h
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.
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.
Location
Online from United States
About Me
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.
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.
Education
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)
Master of Science in Finance - Quantitative Asset and RIsk Management - University of Lausanne (HEC)
Experience / Qualifications
Quantitative Trader and Developer +7years
BOTs.io - Etoro - Collective2 - Darwinex
Worked for several Hedge funds across the world to develop quantiative investment strategies
BOTs.io - Etoro - Collective2 - Darwinex
Worked for several Hedge funds across the world to develop quantiative investment strategies
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
French
Skills
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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