Tag
Benchmarks
Everything on this site involving Benchmarks — projects, articles, research and tools.
RAG Evaluation Lab
Most RAG systems are tuned by vibes. This is a reproducible harness that measures retrieval and generation separately, so you can see which half is failing.
Algorithmic Trading Backtest Lab
A backtesting framework with transaction costs, slippage, walk-forward analysis and survivorship-bias handling — designed to stop a strategy looking better than it is. Educational research only.
Why Your RAG Evaluation Is Wrong
Most RAG evaluations measure the wrong thing, on the wrong data, with a judge that rewards the wrong behaviour. Here is what to measure instead.
DuckDB vs pandas vs Polars: When Each One Wins
A practical decision guide based on workload shape rather than benchmark scores — because the fastest tool depends on what you are actually doing.
Does RSI Actually Work?
Testing the classic RSI(14) mean-reversion rule across 20 years and 500 instruments, with costs included and multiple-testing accounted for.
DuckDB vs pandas vs Polars on 50 Million Rows
A reproducible benchmark across six workload shapes, reporting memory as well as time — because memory is what actually stops the job.
Six RAG Chunking Strategies Compared
Fixed, recursive, semantic, structural, sentence-window and parent-document chunking measured on retrieval recall across three corpora.