9series

In-House Investment Analysis Platform

Financial Services / Investment Management
35% Better risk-adjusted returns through automated rebalancing
60% Reduction in research time via centralized data
20% Increase in portfolio tracking accuracy
Investment analysis platform dashboard

Project Overview

We developed a fully customized in-house investment analysis platform for a Chief Investment Officer with over a decade of experience in public markets. The platform centralizes both fundamental and technical analysis into a single system, enabling structured research, strategy creation, and insight sharing. Built as a scalable and performance-driven application, the solution aligns with the client’s analytical workflow and long-term investment strategy needs. It enhances decision-making through streamlined processes and efficient data handling.

Project overview
Industry Financial Services
Size Individual / Small Enterprise
Market Position CIO-led investment operation

Specific Business Problems

  • Lack of a centralized platform for fundamental and technical analysis
  • Fragmented research and strategy documentation
  • Inefficient sharing of insights and collaboration
  • Delays in signal-based decision making due to scattered tools

Objectives

  • Build a centralized investment analysis platform
  • Enable seamless integration of fundamental and technical analysis
  • Improve efficiency in research, strategy creation, and sharing

Specific Goals & KPIs

  • Reduce time spent on analysis workflows
  • Improve speed of strategy development
  • Enable faster, signal-driven investment decisions
  • Create scalable architecture for future expansion
Objectives

AI Functionality

  • Potential integration of signal-based analytical models
  • Automated structuring of research and insights
  • Scalable architecture for future AI-driven enhancements

Impact of Challenges

  • Slower decision-making due to fragmented systems
  • Reduced efficiency in managing complex investment data
  • Limited ability to scale analytical processes
  • Missed opportunities in time-sensitive market movements

Proposed Solution

  • Develop a centralized, full-stack investment analysis platform
  • Integrate fundamental and technical analysis tools
  • Enable structured documentation and strategy creation
  • Build a fast signal-processing system for real-time insights
  • Ensure secure and seamless sharing of investment insights
Remix Remix (React)
TypeScript TypeScript
PostgreSQL PostgreSQL
Redis Redis
Proposed solution
Platform customizations

Customizations

  • Fully tailored to the client’s investment workflow
  • Integrated fundamental and technical analysis in one system
  • Structured research documentation and strategy builder
  • Fast signal architecture for time-sensitive decisions

Implementation

Process Overview

Phase 1

Requirement analysis and workflow mapping.

Phase 2

System architecture and UI/UX design.

Phase 3

Full-stack development and iterative improvements.

Phase 4

Deployment and performance optimization.

Timeline and Milestones

Requirement finalization and system design

Development and testing phases

Deployment and internal adoption

Execution

Agile methodology was used for iterative development and feedback.

Weekly sprints, regular stand-up meetings, and progress tracking using project management software.

Agile Development Process

Quantitative Results

40% Faster analysis workflow
30% Improvement in strategy efficiency
25% Faster decision-making

Qualitative Results

  • Intuitive and simplified UX and advanced chart analysis
  • Custom strategy and portfolio creation; technical indicators and alerts
  • Advanced stock screeners, watchlists, and no-code strategy builder
  • Realistic slippage and commission modeling; high-fidelity historical data
  • 50% faster asset discovery via screening; 15% reduction in research-to-execution time
  • 85% accuracy in historical backtesting simulations
Investment analysis platform results and reporting

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