quantiota

3 ms·

1.
Multi-agent network: Own the node. Let the agents build together(github.com)
3 points by quantiota 3mo ago|0 comments
2.
A discrete structural grammar for financial markets – Kaggle competition(kaggle.com)
1 points by quantiota 6mo ago|0 comments
3.
by quantiota 7mo ago
Most traders do not use raw tick data. Here is a real-time chart showing how SKA handles price collisions and produces stable regime transition probabilities. The alpha: price follows paired regime transitions. A complete cycle of neutral →
4.
by quantiota 9mo ago
The first evaluation is actually on language, via what I call the Universal Language Manifold (ULM). You can explore the ULM on r/LanguageManifold
5.
Architecture discovery in Riemannian neural fields(researchgate.net)
2 points by quantiota 9mo ago|3 comments
6.
by quantiota 9mo ago
Hi, I’m the author. This work studies a learning framework where neural architecture is not fixed in advance but emerges during training. Learning is formulated as a trajectory on a curved information manifold, with an entropy field guiding
7.
Price is not independent of volume – it is embedded within its geometry(github.com)
3 points by quantiota 1y ago|1 comments
8.
by quantiota 1y ago
I’ve been exploring a different approach to market analysis by embedding trade volume into an ordinary differential equation (ODE) computed directly in SQL with QuestDB. Instead of relying on correlation, the method treats volume as a dynam
9.
Show HN: AI Agent Host – Dev Environment with QuestDB, Grafana, and Code-Server(github.com)
1 points by quantiota 1y ago|0 comments