Quant-trading, #Decentralized data market, #Off-chain computation, #theGraph, #Chainlink, #MCDEX, #Arbitrum, #Financial data market
Introduction
Treasury research is a decentralized quant trading platform. Treasury research is built upon highly secured and trustless data flow architecture, which allows professional quants/traders to create advanced trading strategies with seamless on-chain / off-chain data access, trustworthy decentralized off-chain calculation, and cross-chain trading execution.
What problem do we solve?
As the DeFi market grows, there is significant alpha produced on-chain for professional programmable traders (quants) to exploit. Decentralized quant is a potential market for the next couple of years. However, there are some barriers before professional quants are able to monetize their trading strategies on-chain:
Hard to explore and use useful on-chain signals seamlessly, to get historical on-chain data is not hard, but it is very hard to get real-time signals, especially when signals require aggregation on the cross-blockchain.
Quant finds it is hard to quickly calculate and execute their trading strategies in a trustworthy manner. Most current complex trading strategies cannot be implemented on-chain, because not only cost and performance on the blockchain is low, but also the, not a trustworthy executable environment.
Product design highlights
Data accessibility and seamlessly - To allow quants access to universal data factors on-chain / off-chain in a seamless manner, Treasury research uses theGraph to query on-chain data, such that executable quants programs can query fresh data directly from the blockchain. Also, TR uses Chainlink oracle to handle a variety of data queries and post aggregation, such that the entire data flow is entirely implemented in a trustworthy manner.
Off-chain computation - Treasury research uses Chainlink oracle as a trading strategy executable environment to consolidate different types of row data and signals, and make executable calculations,s and, eventually, fulfill the execution on the trading platform MCDEX.
Cross-chain pluggability - With MCDEX’s Mai protocol, we can easily fulfill quants’ execution strategy on-chain instantly and securely, it also benefited from Arbitrum's high performance and low-cost nature.
Yu Wenqing - Team leader & product manager, previously worked for BTCChina and Fundamental labs, He is also worked for Chainlink as a Developer advocate and solution architect.
Wei Yang - Smart contract developer, previously worked for multiple internet startups, Wei has strong development experience on Python, Node.js, and Solidity.
Harry Hong - Data engineering, previously worked for Web3 foundation and multiple blockchain startups, Harry has plenty of blockchain technology experience, he is also a crypto enthusiast.
Jamie Cheng - Solution architect, previously worked for BTCChina, Jamie also found a blockchain startup in 2018, he also worked for some famous blockchain projects as architect and technology advisors.
Ms. X - Financial product manager, Ms. X requires to stay anonymous, she worked for a topped crypto corporate institution as a research analyst, she has strong capability in financial data analysis and solid experience on on-chain DeFi data analysis.
Team#16: Treasury research
Product direction
Quant-trading, #Decentralized data market, #Off-chain computation, #theGraph, #Chainlink, #MCDEX, #Arbitrum, #Financial data market
Introduction
Treasury research is a decentralized quant trading platform. Treasury research is built upon highly secured and trustless data flow architecture, which allows professional quants/traders to create advanced trading strategies with seamless on-chain / off-chain data access, trustworthy decentralized off-chain calculation, and cross-chain trading execution.
What problem do we solve?
As the DeFi market grows, there is significant alpha produced on-chain for professional programmable traders (quants) to exploit. Decentralized quant is a potential market for the next couple of years. However, there are some barriers before professional quants are able to monetize their trading strategies on-chain:
Hard to explore and use useful on-chain signals seamlessly, to get historical on-chain data is not hard, but it is very hard to get real-time signals, especially when signals require aggregation on the cross-blockchain.
Quant finds it is hard to quickly calculate and execute their trading strategies in a trustworthy manner. Most current complex trading strategies cannot be implemented on-chain, because not only cost and performance on the blockchain is low, but also the, not a trustworthy executable environment.
Product design highlights
Data accessibility and seamlessly - To allow quants access to universal data factors on-chain / off-chain in a seamless manner, Treasury research uses theGraph to query on-chain data, such that executable quants programs can query fresh data directly from the blockchain. Also, TR uses Chainlink oracle to handle a variety of data queries and post aggregation, such that the entire data flow is entirely implemented in a trustworthy manner.
Off-chain computation - Treasury research uses Chainlink oracle as a trading strategy executable environment to consolidate different types of row data and signals, and make executable calculations,s and, eventually, fulfill the execution on the trading platform MCDEX.
Cross-chain pluggability - With MCDEX’s Mai protocol, we can easily fulfill quants’ execution strategy on-chain instantly and securely, it also benefited from Arbitrum's high performance and low-cost nature.
Product design - Quant UE flow
Github link
https://github.com/Treasury-research/TR-theGraph-Chainlink-EA
Demo link
Ethereum Wallet Address
0x2858F95DBf90FA9876972150DD303b1024E86179
Documentation
Product & tech docs
https://docs.google.com/document/d/1lXZnjveEo0auYCogztoEqjKRZnxsyqEQE9CaevpH6O4/edit?usp=sharing
Pitch deck
https://docs.google.com/presentation/d/1dK8rBgWmJkh5w2fzypOWWTOcGu6gPXXzElGZZADZFxw/edit?usp=sharing
Twitter handle
https://twitter.com/wenqingyu
Website
Team information
Yu Wenqing - Team leader & product manager, previously worked for BTCChina and Fundamental labs, He is also worked for Chainlink as a Developer advocate and solution architect.
Wei Yang - Smart contract developer, previously worked for multiple internet startups, Wei has strong development experience on Python, Node.js, and Solidity.
Harry Hong - Data engineering, previously worked for Web3 foundation and multiple blockchain startups, Harry has plenty of blockchain technology experience, he is also a crypto enthusiast.
Jamie Cheng - Solution architect, previously worked for BTCChina, Jamie also found a blockchain startup in 2018, he also worked for some famous blockchain projects as architect and technology advisors.
Ms. X - Financial product manager, Ms. X requires to stay anonymous, she worked for a topped crypto corporate institution as a research analyst, she has strong capability in financial data analysis and solid experience on on-chain DeFi data analysis.