We helped CIMB Malaysia transform their wealth management services by building a robust backend system that connects their new user-friendly platform with existing bank systems, enabling customers to manage investments more easily.

CIMB

Building CIMB's digital wealth platform for better customer experience

We built Hedge Foundation, a powerful crypto trading dashboard that helps professional traders manage multiple accounts, track positions, and automate order execution in real-time across exchanges.

Hedge Foundation

Building a powerful crypto trading dashboard for professionals

We helped Kafi Securities rebuild their stock trading app to work better for both beginners and experienced traders, making investing more accessible for everyone.

Kafi

Kafi: making stock trading easier for everyone

We helped Open Fabric build a payment platform that makes it easier for stores to accept digital payments across Southeast Asia. Our team built the core technology and delivered a working product within a year.

Open Fabric

Building a payment platform from scratch

A deep dive into building a robust transfer tracking syste m for Binance accounts, transforming disconnected transaction logs into meaningful fund flow narratives through SQL and data analysis

Building better Binance transfer tracking

This article provides an overview of the importance of tracking Bitcoin-Altcoin performance indicators in a trading strategy known as Hedge, and explains how to visualize this data effectively. It also demonstrates how to render a chart for this strategy using Matplotlib and Seaborn

Tracking Bitcoin-altcoin performance indicators in BTC hedging strategy

A technical case study for implementing centralized monitoring for a trading platform using Grafana and Prometheus, focusing on real-time alerts, data integrity, and resource optimization to prevent financial losses.

Setup centralized monitoring system for Hedge Foundation trading platform

Implementing a Golang-based visualization for crypto market performance indicators, focusing on Bitcoin vs Altcoin dynamics and trading strategy effectiveness through interactive charts and data analysis

Visualizing crypto market performance: BTC-Alt dynamic indicators in Golang

Discover how a trading platform mitigated database access risks, enhanced security, and ensured data integrity through role-based access control, network isolation, MFA, and robust logging. Learn about the strategies and tools, like Teleport, that transformed operational efficiency and reinforced client trust.

Database hardening for a trading platform

A comprehensive guide on improving cryptocurrency transfer logging systems to provide better transparency and traceability for users and developers.

Transfer mapping: enhancing loggers for better transparency

Implementing Binance Futures PNL Analysis page with Phoenix LiveView to optimize development efficiency. This approach reduces the need for separate frontend and backend resources while enabling faster real-time data updates through WebSocket connections and server-side rendering.

Implement Binance Futures PNL analysis page by Phoenix LiveView

How do we migrate normal table to timescale table to optimized data storage

Migrate regular tables into TimescaleDB hypertables to improve query performance

Discover the technical strategies behind optimizing a Binance trading platform, reducing initial load times to under 1 second for enhanced trader productivity.

Optimizing initial load time for a trading platform

Designing the UI for a blockchain-based hedge fund platform like Hedge Foundation is not just about creating a visually appealing interface. The real challenge lies in ensuring that complex financial data is presented in an intuitive, understandable way that helps users make quick investment decisions. Optimizing the UI plays a crucial role in allowing investors to access accurate data without feeling overwhelmed by excessive information.

Hedge Foundation - optimizing UI for effective investment experience

A technical exploration of implementing the data snapshot pattern for efficient historical data persistence

Implementing data snapshot pattern to persist historical data

A detailed look at how we rebuilt historical trading PnL data through an efficient data pipeline approach, transforming a complex problem into a maintainable solution.

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