CME membership can reduce your exchange fees, but buying or leasing a seat adds costs of its own. Whether it pays off depends on the products you trade, your volume, and the fees you qualify for. We compare trading as a non-member, leasing a seat, and buying one, including the
CME
Every platform has trade-offs, and Nanoconda is no exception. These are the things we typically discuss during a sales call, but we believe you should know them before deciding whether we're the right fit. What are Nanoconda's limitations? Nanoconda covers CME Group markets only, and its
Nanoconda products
A prop desk moving into CME futures needs two things from its infrastructure. It needs a way to test its execution assumptions and to evaluate traders and strategies before they get capital, and it needs a path to the exchange that is fast enough to matter once they do. Nanoconda
algorithms
The October release adds Boa Spreader to the platform: an application that trades and makes markets in a spread you define yourself, from one to four CME futures legs, and hedges every fill as it happens. It runs on the server next to your trading session, you drive it from
CME
Trading infrastructure providers, including us, quote a single latency number. This post covers what slows an order down, what each stage of our path costs, what published measurements show for network and exchange delays, and what the number leaves out. Distance sets part of the delay; engineering and software choices
Nanoconda now offers a FIX 4.4 API for CME trading, built for traders and firms that want a fast, simple, predictable connection to CME Group markets. If you already trade over FIX, connect your existing strategy, OMS, EMS, or trading application to Nanoconda. If you are moving beyond a
Deciding whether to go live on CME with low-latency DMA infrastructure often comes down to knowing the costs and resources it takes to get started. There are several layers to think through: the platform, the exchange, the clearing firm, and the costs that depend on how you trade. This post
Announcements, HFT Tips and Markets Insights
Many customers ask us whether our managed environment or standalone software is the right fit for their trading desk. The traditional Standaone Software model is straightforward: buy the software, procure a server, arrange colocation and connectivity, and operate the infrastructure yourself. Nanoconda Managed is a new way to achieve the
Gathering for the last stretch of the year is a natural strategic window: enough data to reflect on from H1 and build an argument about where this market is going. DMA has always been a trade-off. Retail platforms get you trading in a day, then you hit a wall: not
Nanoconda now supports direct integration with Sierra Chart. Traders can use Sierra Chart as their trading front end while connecting directly to Nanoconda for CME market data and order execution. The integration uses Sierra Chart's DTC protocol and is available with Sierra Integrated Packages. Description of Service Packages
One of the most common requests we've received from customers is simple: "Can I build my own GUI?" Until now, the answer was "yes, but..." You could monitor your trading session remotely, download trade logs, and perform account management actions such as flattening positions
One of the biggest challenges in backtesting and simulation is that fills often look far better than they would in live trading. To help bridge that gap, we've added support for market data-based latency modeling in the Nanoconda Simulator. The simulator can now dynamically introduce latency based on
A new DOM Window has been added to the Nanoconda GUI. It provides a more intuitive and visual way to monitor where an algorithm is positioned relative to the market, making it easier to understand current market conditions, working orders, and execution activity at a glance. The DOM also enables
One problem eventually shows up in almost every serious HFT environment. The strategy evolves faster than the tooling around it. New risk controls get added. New diagnostics become necessary. Traders want different controls exposed. Operations wants more visibility. Developers want internal metrics during live sessions. Traditionally, this turns into a
CME Fills: MDP 3.0 Trade Summary vs iLink private Fills latency It is commonly understood that CME private fill confirmations are delivered ahead of public market data. In this study, we set out to validate and quantify this assumption using real measurements. By matching market data events with corresponding
Using Databento DBN Files with the NanoConda Trade Simulator The NanoConda Trade Simulator and backtesting engine now support Databento DBN files. This integration enables cost-efficient, high-fidelity strategy testing without the complexity of working directly with raw PCAP files. Compared to packet-level replay, DBN-based workflows are easier to manage, faster to
CME Trades: Message Ordering and Latency Whenever a trade occurs on a CME matching engine, the exchange disseminates such information in a sequence of messages. A few important observations: 1. The exchange disseminates a Trade Summary Message first for any trade. 2. 85% of the time other updates, such as
What Is CME iLink? CME iLink is the CME Group's official order entry protocol - used by trading systems to submit, modify, and cancel orders directly into the CME Globex matching engine. It forms the backbone of CME's direct market access (DMA) for futures and options
What are market data gaps and how to deal with them In the world of high-performance trading systems, accurate and timely market data is paramount. Yet even in the most robust infrastructures, market data gaps—missing or out-of-sequence messages—are an unavoidable reality. Understanding how they occur, how to detect