Research that drives our thinking.
In-depth research, methodologies and technical work from our team. We explore ideas, test them rigorously, and share what we learn.
Featured research
12 Sep 2026CEFLANN: efficient nonlinear learning for trading signals.
How a functional-link network with no hidden layer can learn nonlinear patterns quickly, and where the approach needs care.
Read the full noteIllustrative articleTechnical indicators
- Moving average
- MACD
- Stochastic %K / %D
- RSI
- Williams %R
- Price and volume
- Open interest
Functional expansion
CEFLANNSingle layer · output weights solved as an extreme learning machineTrading signal
- Buy
- Neutral
- Sell
Research areas
Statistical learning
Regularised regression, sequence models and out-of-sample testing.
Mean reversion & relative value
Pairs, spreads and dislocations measured in standard deviations.
Derivatives & volatility
Option structure, volatility dynamics and risk premia.
Market microstructure
Order flow, liquidity, market impact and intraday behaviour.
Latest research notes
View allThe value of a better question.
Why the most useful research often begins by looking at a familiar problem differently.
Read moreIllustrative articleVolatility, risk premia and options markets.
Why implied volatility has often exceeded the volatility that followed, and what that difference does and does not tell us.
Read moreIllustrative articleLearning from uncertainty.
What changes when uncertainty becomes part of the question, rather than an afterthought.
Read moreIllustrative articleOur research philosophy
Better questions. Better models. Better decisions.
Rigorous research, careful testing and a willingness to keep learning: every strategy starts as a question the data can answer.