Build Your Own Investment/ Trading Algorithm: Markets, Risk, and Python/ AI
من 355.35 SAR /س
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.
المكان
عبر الانترنت من الولايات المتحدة
من أنا؟
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.
المستوى التعليمي
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)
الخبرة / المؤهلات
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
السن
الكبار (18-64 سنة)
الكبار (65 سنة فأكثر)
مستوى الطالب
مبتدئ
متوسط
متقدم
المدة
30 دقيقة
45 دقيقة
60 دقيقة
90 دقيقة
120 دقيقة
الدرس يدور باللغة
الإنجليزية
الفرنسية
مهارات
الجاهزية في الأسبوع العادي
(GMT -05:00)
نيويورك
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
ضمان المدرس المناسب