NeuroBacktest
Portfolio Tools

Optimize Your Portfolio with Mean-Variance & Risk Parity

Build efficient portfolios using modern portfolio theory, Sharpe-optimal weights, and Monte Carlo simulation.

The Problem

Building a diversified portfolio is more than picking good assets; weights determine risk, drawdowns, and risk-adjusted returns.

The Solution

Run mean-variance optimization, risk parity, and Monte Carlo stress tests on your chosen asset universe.

Why traders use this

Build efficient frontiers in seconds

Apply min/max weight constraints

Compare Sharpe, Sortino, and risk-parity allocations

Stress test with Monte Carlo simulation

How it works

1

Select assets

Enter tickers for stocks, ETFs, crypto, or other instruments.

2

Choose an objective

Maximize Sharpe, minimize volatility, or target risk parity.

3

Add constraints

Set min/max weights and exclude short selling if needed.

4

Validate out-of-sample

Test the allocation on unseen data before going live.

Start backtesting smarter today

Join traders who use NeuroBacktest to turn ideas into data-backed strategies.