Forecasting & market-agent reference library

CAMEF and the Kalshi AI bot: upstream codebases retained as reference foundations, with original authorship clearly distinguished.

Multimodal learningCausal forecastingCounterfactual augmentationPythonLLM applicationsPrediction markets

Reference foundationRank 13 of 13 in this field ↗

Why it sits here. Placed by the scope of implementation, the available contribution evidence, and the distinct technical capability it demonstrates.

03 / Somewhere between data and understanding.STUDY IN SPACE

01 / IMPLEMENTATION & CONTRIBUTION

The reference and its role

Reference study of upstream CAMEF and Ryan Frigo’s Kalshi AI bot. These clean checkouts are original authors’ work, with no local implementation contribution claimed.

Technical depth

Reference topics are multimodal/counterfactual forecasting and LLM-based market-agent systems; these describe upstream scope only.

The project family

CAMEFkalshi

02 / RESULTS

What came out of it

Reference implementations for multimodal forecasting and LLM market agents, cataloged separately from the local World Cup announcer-mention study.

03 / SUPPORTING EVIDENCE

Follow the source

Implementation notes, project records, and supporting artifacts.

Source context & project scope

Neither upstream publication, KDD acceptance, original model, codebase, release, user count nor performance is Donald’s. Folder presence alone does not establish completed study or endorsement.

README.md

Explicit original authors and KDD 2025 paper attribution.

SOURCE · 2026-09-17

Contribution history

Clean lakebodhi/CAMEF upstream checkout with no Donald-attributed changes.

SOURCE · 2026-09-17

README.md

Upstream bot documentation.

SOURCE · 2026-09-17

Contribution history

Origin ryanfrigo/kalshi-ai-trading-bot and clean worktree; no Donald commits.

SOURCE · 2026-09-17