System Requirements Document (SRD) for project-c5793d4e

1. Introduction

This document outlines the system requirements for project-c5793d4e, an advanced analytical platform designed to provide comprehensive analysis of all investment funds and exchange-traded funds (ETFs) listed on European stock exchanges. The platform leverages over 20 years of expertise in fundamental and technical analysis to evaluate funds based on 12 key financial and qualitative factors. The goal is to deliver actionable insights into opportunities and risks within the European investment landscape.

The analysis will incorporate the latest closing prices, financial data, and economic conditions to ensure relevance and accuracy. Results will be presented in tabular form, along with a summary of recommendations for investors.

2. System Overview

project-c5793d4e is a data-driven platform that automates the collection, analysis, and presentation of financial data for investment funds and ETFs. The system will:

• Aggregate data from reliable financial APIs and databases (e.g., Bloomberg, Yahoo Finance, Refinitiv).
• Analyze funds based on 12 critical factors, including revenue growth, net profit margin, dividend yield, and expense ratios.
• Provide a user-friendly interface for investors to explore insights and recommendations.
• Support decision-making by highlighting opportunities and risks in the European market.

The platform will cater to a diverse audience, including institutional investors, financial analysts, and individual investors in Germany (DE) and across Europe.

3. Functional Requirements

The following functional requirements are defined as user stories:

• As a User, I should be able to view a comprehensive analysis of all investment funds and ETFs listed on European stock exchanges.
• As a User, I should be able to filter funds based on specific criteria such as sector, performance, or risk level.
• As a User, I should be able to view detailed metrics for each fund, including revenue growth, net profit margin, dividend yield, and expense ratios.
• As a User, I should be able to download analysis results in tabular format (e.g., Excel or CSV).
• As a User, I should be able to access a summary of top opportunities and risks based on the analysis.
• As an Admin, I should be able to configure data sources and update analysis parameters.
• As an Admin, I should be able to schedule automated data updates and analysis runs.

4. User Personas

4.1 Institutional Investor

• Description: Large-scale investors managing portfolios for organizations.
• Needs: Comprehensive analysis to identify high-performing funds and mitigate risks.
• Goals: Maximize returns while maintaining portfolio stability.

4.2 Financial Analyst

• Description: Professionals conducting market research and advising clients.
• Needs: Detailed metrics and insights to support investment recommendations.
• Goals: Provide accurate and actionable advice to clients.

4.3 Individual Investor

• Description: Retail investors managing personal wealth.
• Needs: Easy-to-understand insights and recommendations.
• Goals: Make informed investment decisions to grow personal wealth.

5. Visuals Colors and Theme

Color Palette for project-c5793d4e:

• Background: #F5F7FA (soft light gray)
• Surface: #FFFFFF (pure white)
• Text: #2C3E50 (deep navy blue)
• Accent: #3498DB (vivid blue)
• Muted Tones: #BDC3C7 (neutral gray)

This palette reflects professionalism and clarity, aligning with the analytical and financial nature of the platform.

6. Signature Design Concept

Interactive Financial Dashboard with Dynamic Heatmaps

The homepage will feature an interactive financial dashboard that displays a dynamic heatmap of all analyzed funds and ETFs. Each fund will be represented as a tile, color-coded based on performance metrics (e.g., green for strong performance, red for weak performance). Users can hover over tiles to view key metrics in a tooltip or click to access detailed analysis.

Key Features:

• Heatmap Animation: Tiles will subtly pulse or shift shades to reflect real-time updates or changes in market conditions.
• Sector Filters: A sidebar will allow users to filter funds by sector, geography, or risk level, with the heatmap updating dynamically.
• Micro-Interactions: Smooth transitions and hover effects will enhance usability and engagement.
• Data Visualization: Charts and graphs will appear in a modal window when a user clicks on a fund tile, providing detailed insights.

This bold and interactive design ensures that users are immediately drawn into the platform and can intuitively explore the data.

7. Non-Functional Requirements

• Performance: The system must process and display analysis results for up to 10,000 funds within 5 seconds.
• Scalability: The platform must support additional data sources and analysis factors without significant redevelopment.
• Availability: The system must maintain 99.9% uptime to ensure continuous access for users.
• Security: All user data and financial information must be encrypted and comply with GDPR regulations.
• Localization: The platform must support multiple languages, starting with English and German.

8. Tech Stack

Frontend:

• React for Web

Backend:

• Python
• FastAPI

Database:

• MySQL (primary RDBMS) with Alembic for migrations
• MongoDB for unstructured data

AI Models:

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for coding and academic tasks

AI Tools:

• LangChain for data orchestration
• LiteLLM for LLM routing

Orchestration:

• Docker for local development
• Kubernetes for server-side orchestration

9. Assumptions and Constraints

Assumptions:

• Users will primarily access the platform via desktop browsers.
• Data sources will provide accurate and up-to-date financial information.
• The platform will initially focus on European stock exchanges.

Constraints:

• The system must comply with GDPR and other relevant data protection regulations.
• Data updates will occur daily to ensure analysis accuracy.

10. Glossary

• ETF: Exchange-Traded Fund, a type of investment fund traded on stock exchanges.
• Revenue Growth: The annual increase in a company's revenue.
• Net Profit Margin: The percentage of revenue remaining after all expenses.
• Dividend Yield: The annual dividend payment divided by the stock price.
• Expense Ratio: The annual fee expressed as a percentage of assets under management.