Add seven OHLCV datasets under crates/wickra/examples/data/, one per
timeframe (1m/5m/15m/1h/12h/1d/1month), holding real BTCUSDT spot klines
fetched from the Binance REST API. The new fetch_btcusdt example
regenerates them: it paginates the klines endpoint through the system
curl, parses with serde_json, validates every candle via Candle::new and
keeps only fully closed buckets.
The indicator benchmarks now run against the 1m dataset instead of a
synthetic series, and a new example_data integration test checks that
every file parses and carries evenly spaced, monotonic timestamps.
The monthly file is named btcusdt-1month.csv rather than btcusdt-1M.csv
so it does not collide with btcusdt-1m.csv on case-insensitive
filesystems (Windows, default macOS).
The wiki had quickstarts for Python, Rust, and Node but none for the
WebAssembly binding, and the wickra-data crate (CSV reader, tick
aggregator, resampler, Binance feed) was not documented anywhere.
- Quickstart-WASM.md: install via npm, building with wasm-pack, and
streaming/batch/multi-output usage in a browser or bundler.
- Data-Layer.md: the wickra-data crate — CandleReader, TickAggregator
(including the opt-in gap fill), Resampler/resample_all, and the
feature-gated Binance live feed.
- Home.md links both from the wiki contents list.
kingchenc