Tread.fi Raises $3.5 Million Pre-Seed Investment, Launches Crypto Native OEMS
Lead investor New Form Capital backs former Morgan Stanley execution quant
New algorithmic trading infrastructure enables clients to host trading engine on their own servers for complete trading privacy and no commissions
Tread.fi's platform contains features for efficient and effective trading, including advanced execution algorithms, low-latency direct market access, comprehensive transaction cost analysis, and portfolio management tools. It also includes a proprietary multi-party, peer-to-peer internal crossing engine to help firms reduce overall trading costs by netting out active trades, resulting in only residual imbalances being executed through external liquidity sources.
Additionally, Tread.fi's clients have the option to run its trading engine privately in-house. This layer of separation gives clients a unique level of privacy and ownership over their trading and is a unique advantage for routing orders to crypto-native exchanges, which often have open access that allows all users to view trading activity. The company also offers a low, fixed annual licensing fee for clients instead of a traditional volume-based commission model, where costs rise alongside activity.
"We imagined what trading infrastructure would look like if it were designed from scratch using the best technology available today," said
Jeong was most recently a Vice President of quantitative research at Morgan Stanley, where he spent his entire career as a quantitative researcher in the Morgan Stanley Electronic Trading (MSET) team. He oversaw the firm's institutional equity division, managing equities and futures algorithmic execution, transaction cost analysis, and execution consultation. Tread.fi's team of quantitative researchers and developers is based in
"We believe Tread.fi's next generation trading tools will power this next wave of sophisticated trading firms coming to the digital asset space," said
"Aquanow is a proud investor in Tread.fi and we believe that David and the team have created the tools that trading firms need to test and execute custom strategies for more efficient trading," said
About Tread.fi
Tread.fi provides high-performance algorithmic trading infrastructure for institutional digital asset firms. As an independent technology company, its buy-side and sell-side clients get everything they need – a powerful trading engine, advanced algos, direct market access, extensive customization capabilities and on-premise hosting options – to trade efficiently, effectively and privately. For more information, visit www.tread.fi.
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SOURCE Tread.fi
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