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Jan Osolnik
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Published in Block Analitica

·Apr 26

Maker Collateral Risk Model: Feature Analysis

Quantifying impact of model inputs on model outputs — Introduction In our previous post we provided a deep dive into the methodology behind the Maker’s Capital at Risk metric. In summary, its aim is to quantify the potential protocol losses given the portfolio risk profile and the simulated market price shocks. The metric is then used to estimate the necessary…

Decentralized Finance

7 min read

Maker Collateral Risk Model: Feature Analysis
Maker Collateral Risk Model: Feature Analysis

Published in Block Analitica

·Feb 24

Maker Capital at Risk: Model Methodology

Simulating collateral price shocks’ effect on protocol economics — Introduction In our previous post, we explored the reasoning behind building the Maker Risk Dashboard and how it’s used for Computer-Aided Governance. In this post, we dive deeper into Collateral Risk Model which is used to propose Risk Premium and Debt Ceiling, two key governance risk parameters. This can then be…

Defi

16 min read

Maker Capital at Risk: Model Methodology
Maker Capital at Risk: Model Methodology

Published in Block Analitica

·Jan 28

Introducing Maker Risk Dashboard

A Tool for Computer-Aided Governance — Introduction DAO governance involves decentralized community members coming together and going through the political process of compromise in order to make decisions. These decisions ideally optimize for some mission/vision which is best stated explicitly. Decentralized mechanism design enables us to align incentives across different stakeholder groups even if their views diverge…

Defi

7 min read

Introducing MakerDAO Risk Dashboard
Introducing MakerDAO Risk Dashboard

Dec 3, 2020

Building a financial data product

Exploring computational finance with Streamlit — Note: nothing herein is financial advice. This article is made only for informative purposes, not to be used for investment decisions. Introduction When researching different methodologies in computational finance, I found a lack of tooling that would enable me to interactively play with different parameters and observe the changes in the…

Risk Management

5 min read

Building a financial data product
Building a financial data product

Published in Towards Data Science

·Jun 5, 2020

Cryptography in data products

Beyond the trade-off between transparency and privacy — Technology is (only) a tool As data product technology matures, its potential to transform the substrate of our social structure does as well. Through our improved decision-making, it can move us towards higher well-being. Automation can provide more material abundance, less time involved in repetitive tasks, and thus more time for creative expression. To aim…

Cryptography

3 min read

Cryptography in data products
Cryptography in data products

Published in Towards Data Science

·May 14, 2020

Building a Crypto ML Web App

Predicting Ethereum investor profile with AWS SageMaker — TL;DR This project aims to connect the Ethereum dataset, machine learning, and cloud technologies in a single project. The outcome is an unsupervised ML data product, accessible through a web UI. It predicts the investor profile (cluster) based on the features constructed on-the-fly with the provided Ethereum address and its…

Data Science

9 min read

Building a Crypto ML Web App
Building a Crypto ML Web App

Published in Towards Data Science

·Feb 19, 2020

Crypto asset valuation

Ecosystem overview for data scientists — Note: nothing herein is financial advice. This article is made only for informative purposes, not to be used for investment decisions. Key Points Crypto protocols with their native assets provide an open and data-rich asset class with venture-scale economics and advantages of public market liquidity We still don't have established…

Cryptocurrency

11 min read

Crypto asset valuation
Crypto asset valuation

Published in Coinmonks

·Aug 29, 2019

On incentives and information curation

From newspapers to crypto-economic networks — TL;DR The information that we consume determines the decisions that we make both individually and as a collective. The capitalist, market-based economy enables an efficient allocation of resources but often at a price of misaligned market incentives and societal values. There are clear examples of this in our information diet. …

Crypto

8 min read

On incentives and information curation
On incentives and information curation

Published in HackerNoon.com

·Jul 2, 2019

Scalable tribal-like collaboration

The non-scalable tribal collaboration “Homo sapiens rules the world because it is the only animal that can believe in things that exist purely in its own imagination, such as gods, states, money and human rights.” Yuval Noah Harari Human beings are social animals that have for most of our history (up until about 12000…

Blockchain

7 min read

Scalable tribal-like collaboration
Scalable tribal-like collaboration

Published in Inside BUX

·Jun 7, 2019

Building a product growth model

From user acquisition spend to MAU — Introduction Startup = Growth. As growth is clearly the essential characteristic of each startup or scale-up, it’s also important to be able to model it in order to better understand the levers that govern a certain product business model. The model presented in this post is a result of modeling the…

Startup

10 min read

Building a product growth model
Building a product growth model
Jan Osolnik

Jan Osolnik

data science ∩ cryptoeconomics

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