Local Binance Datasets
Build and inspect DuckDB-backed historical candle stores from Binance public data.
Local-first market research
Local-first crypto market research for Binance historical data. Build datasets, inspect charts, scan trends, compare categories, run local research, and plan paper trades in one self-hosted workspace.
What it does
Trading Lab combines market data storage, visual inspection, scanners, category tools, backtests, and planning workflows without requiring a hosted trading platform.
Build and inspect DuckDB-backed historical candle stores from Binance public data.
Explore candles, volume, indicators, strategy markers, ratios, and category indexes.
Rank markets by explainable trend structure and relative strength against benchmarks.
Map symbols into local categories, build equal-weighted indexes, and compare baskets.
Run focused local research workflows without sending strategy data to a third-party platform.
Plan discretionary research trades inside workspace-scoped local app state.
System overview
The public website documents a private source application built around local market data, backend APIs, and a chart workspace for repeatable research.
Core workflows
Fill local DuckDB tables from Binance daily or monthly kline archives.
Inspect candles, indicators, ratios, category indexes, and scanner results.
Filter loaded symbols down to candidates with clear trend structure.
Review category maps, equal-weight indexes, and category ratios.
Use local workspaces for paper plans, backtests, and role-scoped app state.
Scanner scoring
The scanner score combines moving-average structure, slope, recent returns, and extension checks so candidates are easier to inspect inside the chart workspace.
Current boundary
Trading Lab is research and educational software. It is not financial advice, and it does not execute real exchange orders.
Manual