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examples: move the bundled BTCUSDT datasets to a top-level examples/data/

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The seven BTCUSDT OHLCV datasets used to live under
crates/wickra/examples/data/, which buried them inside a Rust crate even
though the Node backtest example and the upcoming Rust/Node/WASM example
restructure need to reach them too. Move them to the workspace-level
examples/data/ so every language's examples can resolve the same path.

The bench (crates/wickra/benches/indicators.rs), the example_data
integration test, fetch_btcusdt.rs and the Node backtest example all take
the new ../../examples/data/ path; Data-Layer.md, examples/README.md and
the CHANGELOG entry are updated to match. No data file content changes.
This commit is contained in:
kingchenc
2026-05-23 00:01:52 +02:00
parent ba10898801
commit a1c646ae7c
14 changed files with 32 additions and 28 deletions
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examples/README.md
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@@ -10,7 +10,7 @@ live here under [`python/`](python/).
| Example | What it does | Run |
| --- | --- | --- |
| `backtest.rs` | Compute a basket of indicators over an OHLCV CSV and print a summary. | `cargo run -p wickra --example backtest -- <ohlcv.csv>` |
| `fetch_btcusdt.rs` | Download real BTCUSDT klines from the Binance REST API into `crates/wickra/examples/data/`. | `cargo run -p wickra --example fetch_btcusdt` |
| `fetch_btcusdt.rs` | Download real BTCUSDT klines from the Binance REST API into `examples/data/`. | `cargo run -p wickra --example fetch_btcusdt` |
| `live_binance.rs` | Stream live Binance klines through an indicator over a resilient WebSocket. | `cargo run -p wickra-data --example live_binance --features live-binance` |
## Python — `examples/python/`
@@ -42,7 +42,7 @@ Build the native module first: `cd bindings/node && npm install && npx napi buil
## Example datasets
`crates/wickra/examples/data/` holds seven real BTCUSDT OHLCV datasets, one
`examples/data/` holds seven real BTCUSDT OHLCV datasets, one
per timeframe (1m, 5m, 15m, 1h, 12h, 1d, 1month), in the standard
`timestamp,open,high,low,close,volume` layout. The Rust and Node backtest
examples and the indicator benchmarks run against them. Regenerate them with