QuantumFira
Fira Software Ltd · quantumfira.com
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.
How to install QuantumFira in ChatGPT
- Open the official listing for QuantumFira in the ChatGPT workspace you want to use.
- Choose Install plugin if available. Follow any connection steps for the apps listed on the page.
- Open a new conversation on a supported ChatGPT surface. Select QuantumFira from the plugin options or mention it by name.
How to use QuantumFira
Check the marketplace listing or publisher’s documentation for supported actions and examples.
순위 기록
수집 날짜별로 ChatGPT 공개 플러그인 디렉터리의 표시 순서를 확인하세요. Popular는 공식 추천 목록입니다. 설치 및 사용 횟수는 공개되지 않습니다.
Frequently asked questions
Why is Install plugin missing?
Check your account, workspace, plan and region. If the listing says Desktop only, open it in the ChatGPT desktop app.
기능
- 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 holdingsShow more