lowlatency
Low-latency programming in HFT isn't about Big-O - it's about cache lines In high-frequency trading, conventional software wisdom often breaks down. We're not optimizing for scalability or code elegance - we're optimizing for nanoseconds. Most systems in HFT are memory-bound, not CPU-bound.
lowlatency
Why GPUs Are Rarely Used in High-Frequency Trading In many fields - AI, simulations, rendering - GPUs offer massive speedups. But in ultra-low-latency trading, they're rarely the right tool. Here is Why: 1. HFT is driven by latency, not compute throughput. Most high-frequency strategies require a response in
lowlatency
In HFT, please use static linking. When you're optimizing for nanoseconds, runtime behavior matters more than startup time or convenience. Static linking - especially when combined with native compilation (-march=native, -O3, -mavx, etc.) - offers real runtime performance benefits. Here is the list of static linking benefits:
futures
ETFs Are a Bad Replacement for Futures Exposure ETFs are marketed as convenient ways to gain access to commodities, rates, crypto, and volatility-but in many cases, they're inefficient, expensive, and poorly designed. Here's why serious traders and investors should avoid using ETFs as a proxy for
futures
Futures: Closer to Market Democracy Than Equities Equities may be marketed as the path for the everyday investor-but under the surface, they've become a maze of fragmented exchanges, slow public data feeds (SIP), and opaque order routing games stacked against retail. Futures, on the other hand, are often
futures
The Problem with SIP: How Regulation Reinforces an Unfair Market The SIP (Securities Information Processor) was created to ensure transparency and protect investors by consolidating quotes and trades from all U.S. equity exchanges into a single public feed. But in practice, it's now one of the biggest
Testing
Using Daily PCAPs for Nanoconda Trade Simulator The Nanoconda Trade Simulator enables you to replay historical trading days at real-time speed, enabling you to practice launching algos, monitor their behavior, and review performance on real tick data - all without the need for live market licenses. This workflow is especially
lowlatency
How to Find Memory Leaks This short guide covers two fast and effective ways to find memory leaks: This short guide covers two fast and effective ways to find memory leaks: (1) using pidstat to monitor memory growth, and (2) using gdb to trace memory allocations by setting a breakpoint
algorithms
๐ New Feature: Full Remote Control of Your Algo โ Live from the GUI ๐ After you write your trading logic, you should be able to launch, stop, and control it โ without redeploying or touching code. With NanoCondaโs latest update, you can now: * โ Start and stop your algo remotely * โ Define parameters in
lowlatency
Direct Market Access (DMA) 101 Direct Market Access (DMA) allows traders to send orders directly to an exchange without needing an intermediary broker to re-enter the order manually. It is essential for firms aiming for speed, control, and competitive advantage in modern markets. This guide covers what you need to
CME
๐ New Product Launch: Standalone CME Trading Software You've asked, and we've listened. NanoConda is proud to release our Standalone CME Software Suite, designed for firms that demand speed, flexibility, and simplicity. * โ Ultra-Low Latency Feed Handler & Execution Gateway * โ Pre-Trade Risk and Order Management GUI * โ Trading Simulator
lowlatency
๐ Venomous Sub-Micro Speed for the Year of the Snake ๐ As the Lunar New Year of the Snake begins, NanoConda sets a new standard for ultra-low-latency tradingโdelivering ๐ฌ๐ฎ๐-๐ฆ๐ข๐๐ซ๐จ๐ฌ๐๐๐จ๐ง๐ software round-trip CME performance with: * โ ๐๐ซ๐-๐ญ๐ซ๐๐๐ ๐ซ๐ข๐ฌ๐ค system with real-time monitoring and management * โ A ๐ซ๐๐๐ฅ-๐ญ๐ข๐ฆ๐ ๐๐๐ for active risk control, accessible to both clearing