Dataset Creator
Dataset Creator — Market Data Refinery
A Python ETL pipeline that turns raw market data into context-enriched JSONL datasets for fine-tuning specialized trading AI models.
Proof
Why this matters
Transforms noisy market data into consistent, context-rich training examples, reducing manual curation and making specialized AI fine-tuning workflows reproducible.
Automated ETL processing of raw market data
Read the code
Source on GitHub ↗LLM-powered contextual enrichment
Built under real friction
Talk to Juan →Structured normalization with quality filtering
Read the code
Source on GitHub ↗Training-ready JSONL for fine-tuning workflows
Built under real friction
Talk to Juan →Stack
Architecture
How it's wired
Flow
- 1Ingest raw data
- 2Normalize & structure
- 3Enrich with LLM context
- 4Filter for quality
- 5Emit fine-tuning JSONL
Evidence
Visual showcase
Founder note
From the builder
“Dataset Creator reflects Juan's pragmatic approach to AI infrastructure: a focused Python pipeline that converts raw market information into structured, context-enriched training data for specialized models.”
Want the full story?
Talk to Juan →Get it
Try it where it lives
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