Arunangshu Das

When people talk about trading success, they usually focus on strategy, risk management, and market trends. But behind every successful trading system is a solid database architecture. If your database is slow, unreliable, or not optimized for real-time decision-making, your trading performance will suffer—regardless of how good your strategy is. Let’s break down why database … Read more

In the world of trading, speed and reliability are everything. Whether you’re building an automated trading system or managing large-scale financial data, the database you choose plays a crucial role. A poorly optimized database can lead to slow query times, data inconsistencies, and even financial losses. But not all databases are created equal. To ensure … Read more

Choosing the right database for a trading application is a critical decision that can significantly impact performance, reliability, and scalability. Traders and developers often focus on execution strategies, backtesting models, or real-time analytics but overlook the database that powers these systems. A poor database choice can lead to slow queries, data inconsistencies, or even system … Read more

When it comes to algorithmic trading, every millisecond counts. Financial markets generate massive amounts of data in real-time, and efficiently storing, retrieving, and analyzing this data is crucial. This is where time-series databases (TSDBs) come in. Unlike traditional relational databases, TSDBs are optimized for handling timestamped data, making them perfect for market feeds, historical price … Read more