An introduction to stablecoin AMMs
How automated market makers price stablecoins, why slippage matters, and how Curve and Uniswap v3 concentrate liquidity near the peg.
Read explorationProbabilistic forecasting · Hierarchical time series · Blockchain · Financial risk
I am a PhD student interested in forecasting and in understanding the structure of time series. I build visual representations of complex concepts and aim to make research and data more open.

Stablecoin risk intelligence
Track onchain liquidity conditions and model-based depeg risk signals across stablecoin markets.
Explore the live dashboard
How automated market makers price stablecoins, why slippage matters, and how Curve and Uniswap v3 concentrate liquidity near the peg.
Read exploration
An introduction to hierarchy, coherence, and forecast reconciliation with a focus and geometric visualization.
Read exploration
This talk provides an introduction to hierarchical time series with probabilistic forecasting applications. Visualizations and geometric arguments show the value of hierarchical constraints for forecasting.
View talk
This talk explores end-to-end reconciled probabilistic forecasting methods for financial hierarchical time series.
View talk
This talk introduces proper scoring rules for probabilistic forecast evaluation, including discrimination, multivariate scoring rules, and applications.
View talk
This talk introduces the onchain mechanisms that determine stablecoin prices and a two-pronged model for stablecoin risk monitoring in an AMM pool.
View talk
This talk provides a technical introduction to Polymarket’s onchain aspects and data collection using subgraphs.
View talk
Reproducible code for studying onchain liquidity conditions, including functional analysis of the Uniswap liquidity curve and a probabilistic neural-network forecaster for stablecoin tail risk.
Companion code to Stabilising Stablecoin Risks.
View code
Open source code for collection and preprocessing of the public dataset.
View code
Reproducible code for graph centrality usage examples.
Companion code to Graph Centrality Measures.
View code
Code for hierarchical loan forecasting using a public dataset of Italian loan originations.
Companion code to Hierarchical Loan Forecasting.
View code
Code for reproducing the examples in the talk on proper scoring rules.
Companion code to Proper Scoring Rules.
View code
Code for reproducing figures from the published paper.
View code Published paperInterested in research, data, or a good forecasting problem?