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QuantumFira

ChatGPT plugin

Quantum portfolio optimisation

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Analyse a portfolio of stocks or ETFs from about two years of daily prices. QuantumFira builds a classical Markowitz maximum-Sharpe portfolio, fits it on the earlier part of the history and measures it on the later part, beside an equal-weight portfolio, so you see out-of-sample return, volatility, Sharpe ratio, drawdown and the most correlated pairs. For quantum portfolio optimisation, it writes the choice of assets as a QUBO, samples it with QAOA on the Amazon Braket SV1 quantum circuit simulator, weights the best valid selection classically and compares it with the classical portfolio on the same data, including how often QAOA sampled valid selections. Results are historical analysis for education and research, not financial advice.

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Example prompts

  • “Analyse a max-Sharpe portfolio of AAPL, MSFT, NVDA, JNJ and XOM over the last two years.”
  • “Compare a QAOA quantum portfolio with a classical one for SPY, TLT and GLD.”
  • “Compare max-Sharpe and equal weights for VOO, VXUS, BND and GLD historically.”
Categories
Made by
Fira Software Ltd · Website
Sign-in
On Install
Capabilities
Optimise stock and ETF portfolios with Markowitz mean-variance, Measure weights out-of-sample against equal weights, Run QAOA quantum portfolio optimisation on Amazon Braket SV1, Show risk, drawdown and correlation between holdings
Availability
Available
Version
1.0.0
Keywords
portfolio optimiser, portfolio optimization, quantum portfolio optimization, QAOA, QUBO, Markowitz, mean-variance optimization, efficient frontier, Sharpe ratio, asset allocation, diversification, Amazon Braket
Created
October 17, 2026
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