I will optimize your investment portfolio using quant methods
About this Gig
Stop guessing your allocation. Let the math show you the trade-offs.
Whether you hold a handful of ETFs or run a small book, most portfolios carry risk their owner can't see hidden correlations, concentration, uncompensated volatility. I bring [X] years of institutional portfolio work to make yours transparent and deliberate.
What I'll do for you:
- Analyze your current portfolio's true risk profile volatility, correlation structure, drawdown, concentration
- Optimize using the right method for your goal: mean-variance (Markowitz), risk parity, or minimum-variance
- Deliver clear allocation recommendations with the reasoning spelled out
- Build you a reusable Python framework so you can re-run it as things change (Premium)
Who this is for: self-directed investors, aspiring quants, and small funds who want institutional-grade portfolio construction without an institutional price tag.
What you'll get: a report you can actually act on, optimized weights with the logic behind them, and on Premium code you own and can reuse.
Visualization Tools:
Matplotlib
•
Microsoft Excel
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Python
•
RStudio
Type of model:
Scenario analysis
•
Monte carlo
Industry:
Financial services
Target country:
Hong Kong
•
Italy
•
United Kingdom
