QuantumFira
Fira Software Ltd v1.0.0
Quantum portfolio optimisation
From the developer
Declared 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
Declared limitations
- Decline price predictions and personalised investment advice.
- Do not place trades.
- Do not claim quantum hardware or quantum advantage.
Not specified in the available declarations: pricing & account requirements.
Onboarding example
Analyse a max-Sharpe portfolio of AAPL, MSFT, NVDA, JNJ and XOM over the last two years.
Sources & dates
Developer declarations; not independently tested. Listing last checked Nov 5, 2026. Package observed Nov 4, 2026.
Description
From the marketplace listing
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.
Language: English · Automatically detected from descriptions.
Matches for “optimization”
Exact text from the indicated source. A mention alone does not establish support for your task.
Publisher keywords · listing
portfolio optimiser portfolio optimization quantum portfolio optimization QAOA QUBO Markowitz mean-variance optimization efficient frontier Sharpe ratio asset allocation diversification Amazon Braket
Changes
No changes recorded yet. Follow this plugin to keep track of future changes.
First seen Oct 31, 2026. Last seen Nov 5, 2026.
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Keywords
Files & skills
File archives
Release notes
Analyse stock and ETF portfolios with classical Markowitz mean-variance and compare them with QAOA quantum portfolio optimisation on Amazon Braket SV1, measured out-of-sample with risk, drawdown and correlation.
Declared in the saved package. Remote tools may change independently.
Package details
Publisher declarations from the archived package. These are separate from our research and the live service's terms.
- Package author
- Fira Software Ltd
- Keywords
- See keywords
- Commerce declaration
- Does not support commerceThis does not establish whether access is free or paid.
- Review scenarios
- 5 positive · 3 negativeScenario counts, not test results.
Declared 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
Package observed Nov 4, 2026.
Technical details
- First seen
- Oct 31, 2026 · 14:53 UTC
- Last seen
- Nov 5, 2026 · 00:00 UTC
- Collection status
- Collected
plugin_asdk_app_6ad3d1905d5481919762d66e73baf439
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