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@@ -25,7 +25,8 @@ The Finance Toolkit is complimented very well with the [Finance Database 🌎](h
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3.[Functionality and Metrics](#core-functionality-and-metrics)
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4.[Questions & Answers](#questions--answers)
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5.[Contributing](#contributing)
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6.[Contact](#contact)
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6.[Mentions](#mentions)
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7.[Contact](#contact)
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# Installation
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The goal of the Finance Toolkit is to make any type of financial calculation as transparent and efficient as possible. I want to make these type of calculations as accessible to anyone as possible and seeing how many websites exists that do the same thing (but instead you have to pay) gave me plenty of reasons to work on this.
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# Mentions
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The FinanceToolkit has been mentioned in various blogposts, research papers, newsletters and social media. Below is a list of some of the mentions that I am aware of. **If you have any other mentions, feel free to reach out to me so I can add them to this list.**
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**Blogposts**
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-[A Deep Dive into EOY Financial Performance & Risk Measures of Big Five using the FinanceToolkit in Python](https://wire.insiderfinance.io/a-deep-dive-into-eoy-financial-performance-risk-measures-of-big-five-using-the-financetoolkit-in-ef93fddd11db)
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-[Discovering the Best Integrated Platforms for Big Tech Quantitative Finance — 1. Finance Toolkit](https://wire.insiderfinance.io/discovering-the-best-integrated-platforms-for-big-tech-quantitative-finance-1-finance-toolkit-2e29b67eb4ea)
-[AI, Help Me Think—but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support](https://www.microsoft.com/en-us/research/wp-content/uploads/2025/03/AI-Help-Me-Think-CHI-2025.pdf)
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-[Fundamental Analysis using Muli-Agent System and Agentic RAG](https://connect.cfauk.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=3ae6f3fc-593a-04ec-c3b8-be5643cab479&forceDialog=0)
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**Newsletters & Social Media**
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-[LinkedIn #1](https://www.linkedin.com/posts/jerry-liu-64390071_this-is-an-extremely-comprehensive-100-activity-7340897396471623681-plI4?utm_source=share&utm_medium=member_desktop&rcm=ACoAABhYAQUBkaNnlBjz_IYBRfaurU68rfoZPE8) and [Linkedin #2](https://www.linkedin.com/posts/pyquant-news_getting-clean-fundamental-data-used-to-be-activity-7314273012927651841-KXP3?utm_source=share&utm_medium=member_desktop&rcm=ACoAABhYAQUBkaNnlBjz_IYBRfaurU68rfoZPE8)
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