tread.fi

Today, we announced that tread.fi has received a $3.5 million pre-seed investment – a significant milestone in our mission to bring advanced algorithmic trading infrastructure to the institutional digital asset community. The Block covered the news:   “With fresh capital in hand, Tread.fi plans to continue enhancing its trading platform and expanding its team. There are currently eight people working for Tread.fi in Bangkok and New York, and Jeong plans to hire more people in engineering, sales and business development functions.”   A quote from one of our early clients and investor in our round perfectly sums up the values we hope to bring to industry: "David and his team are not only highly skilled and passionate, but have exemplary moral values, something that has been sorely lacking in the space. Their fair business model and privacy-focused platform architecture is a testament to this: they don't watch your flows, have no access to any of their customer's trading data and have rejected a predatory, flow-based business model common in this space. Thanefield is not only an investor, but also a user of their trading platform since early development and have been impressed by the rapid evolution of the product." - Kyle Tan, Co-founder of Thanefield Capital To learn more, read the press release:  https://lnkd.in/gGqnKahQ

In the past two weeks, we’ve released an array of noteworthy new features to tread.fi’s crypto-native OEMS, including: - Guaranteed spreads for basis trading. Tread.fi’s basis trading strategy now allows dynamic spread limits, executing basis arbitrage opportunities only at profitable levels. This feature is combined with the ability to execute basis trades passively and configure parameters like market risk tolerance and execution schedule.  - Target Time execution strategy, allowing traders to implement event-driven trades to react to news and macro developments. This algo seeks passive liquidity while executing a tight trade distribution around a target time. - Usability enhancements, including the ability to save commonly used orders to automate trading workflows and amendable orders during live trading.   Contact [email protected] to learn more about how you can access our market-leading algorithmic trading platform privately, on your servers, or in a fully-managed environment.

I’m happy to share that I’m starting a new position as Global Head of Sales at Tread Labs!

Today, we’re excited to release our participation rate target strategies. Participation rate is a key factor driving market impact, so we leveraged our in-house execution engine and models to deliver a new family of strategies that allow for direct control of participation rate. Participation rate targeting uses real-time market data and Tread Labs’ prediction models to dynamically place orders and achieve a desired participation rate. While targeting a participation rate, the algo places orders in response to market conditions, while prioritizing passive maker fills. Additionally, with our pre-trade predictions, traders can plan for the perfect execution strategy with estimates on order duration, predicted volume and duration volatility. For participation rate strategies, users can monitor orders in real-time using our new in-flight participation analytics, featuring a dashboard of target and realized participation rate in overall market context. Contact us at [email protected] for a demo! Weishuai Yang Yibo Duan Hansel Li Chase Mayekar John Krowas

We're thrilled to announce the introduction of VWAP, the latest strategy in Tread Labs' digital asset algorithmic execution engine. Our VWAP strategy enhances our passive-first placement engine with a proprietary volume prediction model designed to additionally optimize order scheduling. With this natural successor to TWAP, you can be confident that your execution strategy will effectively minimize market impact and alpha signaling, even in fluctuating market conditions. You no longer have to worry that your TWAP execution strategy is trading too rapidly during periods of low liquidity, or not capitalizing sufficiently during times of high liquidity. Please reach out to [email protected] to learn more about our distributed trading infrastructure.

Experience transparent and efficient execution with our latest OEMS feature: a bid/ask chart that showcases fill quality and market conditions for insightful transaction cost analysis. Our distributed trading infrastructure for digital assets guarantees trust and privacy. It offers the flexibility of a customizable OEMS without flow-based fees, ensuring secure, private and cost-effective trading solutions.

Building on our suite of execution algorithms for digital assets, Tread Labs offers a basis trading strategy that focuses on minimizing market impact and maker/taker exchange fees. With our self-hosted trading engine with no flow-based fees, trade with the freedom and privacy you deserve, regardless of scale. Reach out to [email protected] to see how Tread Labs' trading infrastructure can help your trading desk today.