research.morphiqlabs.com
Working papers and engineering write-ups from MorphIQ Labs on the Ferro suite, quantitative research, and Anvil. Market microstructure, volatility modeling, regime detection, and the runtime underneath.
Time-series ML fails quietly when the feature layer ignores scale. A price series, volatility series, or sensor stream may look like one signal, but its behavior is usually a mixture of fast noise, medium-horizon stru…
A Rust options pricing engine usually gets judged by surface area first: how many models, how many Greeks, how fast the implied-volatility solver runs. That is necessary, but it is not enough. The harder question is w…
Market-data infrastructure becomes fragile when every downstream component learns a different venue dialect. One feed calls it a trade condition, another calls it a flag. One stream uses exchange timestamps, another c…
Price-time priority sounds simple until the implementation has to survive real state transitions. Orders arrive, cancel, partially fill, cross multiple price levels, and interact with timestamps, client identifiers, a…
Most options tools start with a table. Rows of contracts, columns of Greeks, filters, probabilities, and implied volatility fields. The table is useful, but it is not a decision process. A trader still has to assemble…
The most expensive production bugs in trading systems are often not the ones that crash. They are the ones that cannot be reproduced. A signal changed, an order decision differed, a timeout fired in a different order,…
Most trading systems are tested the way most software is tested: feed an input, assert an output, hope the parts you did not assert on behaved. That works until the part you did not assert on is wall-clock time, or it…
An implied-volatility surface is a deceptively small object: a function from log-moneyness and maturity to a single number. The trouble is that not every such function corresponds to a market. A surface that prices a …
"The market changed" is the kind of statement that is obviously true and almost useless. Changed how fast? Changed in the minute-scale chop, or in the multi-day trend? A single rolling volatility number cannot tell yo…