🟢 Python for Financial Markets – Learn to Invest Like a Pro
Master Financial Analysis with Python in Just 30 Hours
🌟 Learn real portfolio analytics using Python — no prior experience requiredIn just 30 hours, go from zero to hero - confidently analyzing investments, building strategies, and managing risk like institutional asset managers.
Taught by a former hedge fund manager and global investment expert.
🔍 Why Python Is a Must-Have Skill for Today’s Investors
* 📲 Work smarter, not harder: Automate portfolio tracking, risk metrics, and reporting — no more spreadsheets.
* 📉 Make data your edge: Analyze real-time data in stocks, ETFs, crypto, or bonds to make smarter decisions.
* 📘 Design your own strategies: Backtest and optimize your own signals using industry tools.
* 🌐 Connect to real markets: Use APIs like Yahoo Finance, Alpha Vantage, Binance, Interactive Brokers.
* 🚀 The global standard: Python is used by the top firms in NYC, London, and Singapore — it's the new Excel.
👤 Who Is This Course For?
* 📈 Retail investors managing personal portfolios with serious intent
* 🧑💻 Beginners in Python looking for a real-world application
* 🎓 Students in finance, economics, data science or engineering
* 💼 Finance professionals, advisors, consultants
* 📊 Crypto and tech-savvy traders wanting to go deeper with analytics
🧠 What You’ll Learn
* 📊 Calculate returns, volatility, and drawdowns
* ⚖️ Build optimal portfolios using Modern Portfolio Theory
* 📈 Run Monte Carlo simulations for market scenarios
* 🧠 Analyze investment strategies with Python + basic ML
* 💼 Use 80+ real-world notebooks with Google Colab
* 🔄 Backtest your own signals and measure performance
* 📃 Understand Sharpe, Sortino, VaR, CVaR, Alpha, Beta
👨💼 About the Instructor
💼 Senior Investment Professional
25+ years of institutional experience at top-tier firms and managing & advising over $60 billion in assets🔍 Track Record
Former head of Spain’s largest quantitative hedge fund. Extensive background in asset management, portfolio construction, and systematic investing.🏢 Worked at: Merrill Lynch (London), Deutsche Bank, BBVA, Santander AM🎓Finance Educator
Business school professor teaching Python for investing, quantitative strategies, and real-world risk management amongst other subjects📍 Taught at: IE Business School, IEB, ICADE🏢 Worked at: Merrill Lynch (London), Deutsche Bank, BBVA, Santander AM🔹 Professor at top-tier business schools
Teaching Python for investing, technical analysis, quantitative strategies, and real-world risk management, amongst other subjects.“This is not a generic Python course. This is what real investment professionals use every day to make data-driven decisions.”
🗓️ How the Course Works
👨🏫 Live cohort sessions online, 2x per week💻 Google Colab + Jupyter environment — no installs needed📁 80+ Python notebooks with real financial cases🤝 Mentoring & Q&A throughout⏱️ Total duration: 30 hours (plus lifetime access to materials)
✅ What You’ll Walk Away With
- The ability to manage your portfolio like a pro- Tools to build, analyze and optimize strategies- Fluency in Python applied to real financial use cases- Confidence to take control of your investments or career
💳 Ready to Join?
👉 Reserve your seat now – $3,000[Insert Stripe or Gumroad checkout link here]
🔎 Frequently Asked Questions (FAQs)
Do I need to know Python or finance?
No prior experience needed. We start from zero and guide you step-by-step.Is it really applicable to real investing?
Yes. Everything is based on institutional best practices.How is this different from Udemy or Coursera?
This is taught by a real hedge fund/institutional investment expert, not a generalist.Do I get lifetime access?
Yes. You can revisit the materials anytime, even after the live cohort ends.Will it help me with my job or career?
Yes, many use this to transition into quant roles or to upgrade their investing toolkit.