(https://pool.pm/d068fe47123ec4c86460eeb74c7d7765c67d2df295a3ac86d664ed45.PlutusFirstClassPhoto438)) program and has been programming in Haskell for 8 years. He is a holder of a Certificate in Quantitative Finance (CQF) and Master of Informatics (MInf) with specialization in distributed systems and formal methods from the University of Edinburgh. At Microsoft Research he designed and implemented novel distributed machine learning algorithms responsible for processing exabytes of Office and Windows telemetry.
<https://www.linkedin.com/in/hirniak/>
Tony Morris, the technical lead, has been programming with Haskell for 18 years. He is the course developer and former coordinator/lecturer for Functional & Logic Programming at the University of Queensland, which focuses on Haskell. Tony has been using Functional Programming software development techniques within industry teams for 15 years, with a view to improve the reliability and time to market of software and lead other engineers to achieve their business goals. He contributes to over 300 open-source software projects that all utilize software engineering methods (FP) using several programming languages.
<https://www.linkedin.com/in/tony-morris-1961a02/>
PEH Zheng Yan, software engineer has 5 years of technical experience across finance, property and airlines. He is an active speaker in Malaysia local functional programming clubs, often delivers talks about functional programming and software architecture within Malaysia. He has experience delivering performant and safe softwares in multidisciplinary global teams.
<https://www.linkedin.com/in/zheng-yan-peh-947a7a117/>
Key Metrics of this project related to the Catalyst Fund 7 Goals
Here is what we foresee as relevant, in order of impact on the project:
Fund Intention: F7: Boosting Cardano's DeFi
"How can we encourage DeFi teams to build/deploy open finance solutions on Cardano in the next 6 months?"
Project Impact : High
1. Data quality, in terms of granularity, and dependability is vital for researching and implementing portfolio management strategies in terms of. Bringing portfolio managers to the blockchain will unlock a significant source of total value locked for the entire ecosystem.
2. For the Cardano DeFi ecosystem to mature and for DeFi to continue its evolution from the simple methods of 1.0, to the smart money of DeFi 2.0, analytical data is required. It will enable users to make educated and evidence based decisions and allow protocol implementers to design and build the next generation of DeFi protocols.
3. High quality research and data is associated with brand perception in traditional finance; institutions proudly display the comparative scores of their market research with other institutions. Adding a product that's highly perceived by traditional investment circles adds credibility to the blockchain, which in turn helps onboard retail and large institutional traders.
Definition of Success After 3, 6, and 12 Months (Milestones)
3 Months: Detailed architecture will be designed and provisioned.
6 Months: A high performance Cardano Node data connector will be developed to feed data into the warehouse. First iteration of the lab platform and API will be built.
12 Months: Stretch goals of live data feeds and semantics models will be attempted. Documentation will be completed via GitBook and the solution released to the community.
Expected Launch Date: August 2022 (launch), December 2022 (completion)
Budget: $92,820
$12,000
120 hours of front-end development, at $100 per hour with tax.
$37,500
250 hours of Haskell back-end and on-chain development, at $150 per hour with tax.
$40,320
Warehouse hosting cost per month for 6 months then self-funding from high volume consumers, 7 total instances (approx. number) each about $640 per calendar month (approximate cost), totaling $4,480 per month, and $40,320 for 9 months.
$3,000
General other costs - graphics design, software licenses (e.g., JavaScript visualization libraries), outreach, growth, and integration.
KPIs (Key Performance Indicators)
- Number of data feeds.
- MAU (Monthly Active Users).
- Monthly API queries.
- Monthly lab analysis.