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Fintech

FinVest Platform

Client: Capital Growth Inc.

An AI-powered investment platform offering personalized portfolio recommendations and automated trading strategies.

Python TensorFlow React Kubernetes Redis

Client Overview

Capital Growth Inc. is a boutique investment firm managing $2.5 billion in assets for high-net-worth individuals and institutional investors. They focus on data-driven investment strategies and alternative assets.

The Challenge

Capital Growth's investment analysts were overwhelmed by the volume of market data they needed to process daily. Manual portfolio analysis was time-consuming and couldn't keep pace with market volatility. Clients demanded more personalized investment recommendations but the team lacked the tools to deliver them at scale.

Our Solution

We built FinVest, an AI-powered investment platform that analyzes market data in real-time and generates personalized portfolio recommendations. The platform uses machine learning models trained on historical market data to identify patterns and predict market movements, enabling automated trading strategies that adapt to changing conditions.

Our Approach

1

Partnered with their quant team to understand trading strategies and risk models

2

Built custom ML models using TensorFlow for market prediction and portfolio optimization

3

Implemented real-time data ingestion from 50+ market data sources

4

Designed a microservices architecture on Kubernetes for elastic scaling during market hours

5

Created a sophisticated risk management system with real-time position monitoring

Results & Impact

23%

Average portfolio return improvement

85%

Reduction in manual analysis time

200ms

Average trade execution latency

$500M

Additional AUM in first year

Key Features

AI-driven portfolio recommendations

Automated trading execution

Real-time risk analytics dashboard

Custom strategy backtesting engine

Multi-asset class support

Regulatory compliance reporting

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