fn main() {
let app = MarketLens::new();
app.run().expect("Application started successfully");
}async def process_data():
data = await fetch_market_data()
return analyze(data)MarketLens
Advanced market data visualization for analysts and traders. _
Built with Modern Technologies
Our engineering team leverages cutting-edge technologies to build robust, high-performance systems.
High-performance, memory-safe systems programming for our core engine.
Data processing & generic backend.
Reactive UI framework for building fast, efficient user interfaces.
Type-safe JavaScript for building reliable frontend applications.
Column-oriented DBMS for real-time analytics on market data.
Advanced open source relational database for transactional data.
Infrastructure as code for automated deployment and configuration.
Hardware-accelerated graphics for high-performance data visualization.
MarketLens: See the Market Clearly
MarketLens provides powerful tools for market data analysis, helping traders make informed decisions.
latency < 100ms
Stay ahead of market movements with our high-performance data feeds and visualization tools.
10,000+ sources
Access a vast network of market data sources to ensure comprehensive coverage and reliable insights.
60+ FPS visualization
Unified view with OI and CVD metrics for instant recognition of market imbalances.
Engineering Insights
Our engineering team shares technical insights and deep dives into our tech stack.
Learn how we optimized ClickHouse storage for financial time series data.
SELECT symbol, toDate(ts), count(*)FROM trades GROUP BY symbol, toDate(ts) ORDER BY count(*) DESC LIMIT 3;