OXY NEO

Build a more profitable allocation with confidence

Turn portfolio decisions into a disciplined, data-backed workflow your team can trust.

Completly free. Based on Modern Portfolio Theory. Private by design.
HOW IT WORKS

Three steps from tickers to optimized allocation

A guided workflow that keeps the analysis transparent, repeatable, and easy to trust.

Step 01

Enter stocks

Start with the tickers you want to include and build a focused universe in seconds.

Step 02

Select desired parameters

Tune the optimizer with expert settings while keeping the defaults clean and safe.

Step 03

Results and benchmark

Visualize optimized performance against the benchmark with a clean, data-first chart.

FEATURES

Everything You Need to Optimize

Powered by PyPortfolioOpt and Modern Portfolio Theory

Frontier-based optimization balances risk and return with transparent math you can trust.

Core AlgorithmBuilt on PyPortfolioOpt

Interactive controls show impact instantly so you can tune for comfort and performance.

InteractiveInstant feedback

Switch horizons to understand volatility and consistency in different market cycles.

1–5 years history

Side-by-side benchmarking shows tradeoffs and where your allocation outperforms.

Benchmark visibility

Dial in assumptions and constraints when you want deeper control over the optimizer.

AdvancedFine-grained control

Store past runs, compare versions, and monitor how decisions change as markets move.

Multi-portfolio history

Get started with secure sign-in

Continue with Google or GitHub to save portfolios and track performance.

Commit f1ed8fd

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Release 1.6.0