README.md

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title: README
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Binomial Technologies

Open-source ML specialists for finance.

We build small (≤500M parameter) task-specific models for finance under Apache 2.0 — engineered for sub-second CPU inference, public eval tables, and drop-in compatibility with the pipelines quant teams actually run.

Thesis

For narrow finance tasks, small specialists beat:

• Frontier LLMs on cost and latency by two orders of magnitude
• Dictionary methods (Loughran-McDonald, FinBERT) on context-awareness and number of dimensions captured per article
• Closed bespoke fine-tunes on auditability — every model card here ships with eval tables, methodology, and explicit limitations

Nobody has open-sourced this stack at this fidelity. That's the gap we fill.

The model zoo

Six task-specialists named after thinkers in quantitative finance. One per quarter through 2027.

Model	Task	Status
binomial-marks-1	Earnings-call NLP scoring — 23 outputs (10 topics × {mention, direction}, 3 tone)	Shipped (v1.1, April 2026)
binomial-shannon-1	Financial news characterizer	In progress
binomial-godel-1	Realized volatility forecasting	In design
binomial-mandelbrot-1	Market regime classification	In design
binomial-simons-1	Order-flow / microstructure	In design
binomial-bachelier-1	Vol surface dynamics	v2 cycle

All models Apache 2.0. All run under 100 ms on CPU (most under 30 ms).

What we publish

• Weights on this org's HF Hub
• Runtime helpers as PyPI packages — pip install binomial-marks
• Source, training scripts, eval harnesses — github.com/Binomial-Capital-Management/binomial-ai-research
• Model cards — full eval tables, panel comparisons, tier (1 / 2 / 3) declared upfront

Tier system

Each model card declares one of three tiers honestly:

Tier	Definition
1	Production-validated against measurable outcomes (returns, realized vol). Tradeable as a feature.
2	Research preview. Eval against an LLM panel + held-out test sets. Use as input to your own models.
3	Experimental.

We do not host inference. Weights are yours to deploy.

Contact

ilay@binomialtec.com