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A Mutual Funds Portfolio Backtesting tool

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    Portfolio backtesting and optimisation tool for investors

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  6. 6SA
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  8. 8CA

    Hello, This is a portfolio optimizer I made to help select portfolios for my clients. I'm a personal financial adviser. I generally put my clients in a mix of low-fee index funds and ETFs and I use this to set an appropriate allocation based on the client's risk tolerance. I have been working on this as a side project to 1) improve the theoretical underpinnings of my investment recommendations and 2) improve my coding skills with frameworks like Vue and Torch. Here's the repository for the frontend: https://github.com/justinluther502/cashgraphfront. The frontend site is…

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    Quantle28

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    Hello, I am excited to share PyBroker with you, a free and open-source Python framework that I developed for creating algorithmic trading strategies, including those that utilize machine learning. With PyBroker, you can easily develop and fine-tune trading rules, build powerful ML models, and gain valuable insights into your strategy's performance. Some of the key features of PyBroker include: - A super-fast backtesting engine built using NumPy and accelerated with Numba. - The ability to create and execute trading rules and models across multiple instruments with ease. - Access to…

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  14. 14

    An index investor's dream come true

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  15. 15L1

    PoC for something some the potential to yield some interesting results eventually.

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  16. 16BA

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  22. 22FP

    A minimalist portfolio tracker that calculates your Personal Rate of Return (using Internal Rate of Return, IRR). Although often missing in more featured and complex apps, the Personal Rate of Return is essential to know if you're on track to meet your investment goals, compare the performance of your different investments, or with other people's portfolios without revealing any specifics. This is a side-project. Built with ClojureScript and Krell/Reagent/React Native.

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  23. 23IC

    Investy is a portfolio analyzation tool that allows individual or professional investors to breakdown a stock portfolio and see financial data across the aggregated investments. Investors can model hypothetical portfolios, leverage diversification and allocation data as well as compare their portfolio against professionals such as Warren Buffett and others. http://www.investy.com

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