Files
wickra/examples
kingchenc 303ff0a163 examples(node): add a fetch_btcusdt script using built-in fetch
Node had no sibling for the Rust and Python `fetch_btcusdt`
data-generators — adding it closes the "fetch (data-gen)" cell for the
last remaining row of the cross-language example matrix where the
pattern makes sense.

* examples/node/fetch_btcusdt.js — uses Node 18+'s built-in global
  `fetch` (no npm dependencies); same pagination logic as the Rust and
  Python siblings (paginate backwards via `endTime`, drop the
  in-progress bucket, sort and trim to the configured target). Applies
  the same OHLC validity check the Rust `Candle::new` constructor
  enforces so a malformed kline is skipped rather than written.
* JavaScript's `String(v)` already gives the shortest round-trip
  representation and strips the `.0` suffix for whole-number floats, so
  the CSV output is byte-for-byte identical to what the Rust and
  Python fetchers produce on the same Binance snapshot. Verified by
  running it and `git diff`-ing against the checked-in dataset: every
  row older than the run is unchanged; only the most recent ~24 hours
  drift because the market kept moving.

examples/README.md gains the new row.
2026-05-23 00:40:27 +02:00
..

Wickra examples

Runnable examples for every Wickra binding. Rust and Node examples live next to the code they exercise so the language tooling (cargo run --example, node) can find them; the Python examples have no crate of their own and live here under python/.

Rust — examples/rust/

The Rust examples live in the wickra-examples workspace member crate.

Example What it does Run
streaming.rs Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. cargo run -p wickra-examples --bin streaming
backtest.rs Compute a basket of indicators over an OHLCV CSV and print a summary. cargo run -p wickra-examples --bin backtest -- <ohlcv.csv>
multi_timeframe.rs Resample a 1-minute CSV via wickra-data and print indicators per timeframe. cargo run -p wickra-examples --bin multi_timeframe
parallel_assets.rs Serial vs BatchExt::batch_parallel (rayon) over a synthetic panel, with speedup. cargo run --release -p wickra-examples --bin parallel_assets -- --assets 200 --bars 5000
fetch_btcusdt.rs Download real BTCUSDT klines from the Binance REST API into examples/data/. cargo run -p wickra-examples --bin fetch_btcusdt
live_binance.rs Stream live Binance klines through an indicator over a resilient WebSocket. cargo run -p wickra-examples --bin live_binance

Python — examples/python/

Example What it does Run
streaming.py Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. python -m examples.python.streaming
backtest.py Basket of indicators over an OHLCV CSV. python -m examples.python.backtest <ohlcv.csv>
live_trading.py Live Binance feed → RSI / MACD / Bollinger → signals. python -m examples.python.live_trading --symbol BTCUSDT --interval 1m
multi_timeframe.py Resample a 1-minute CSV to coarser timeframes and compare. python -m examples.python.multi_timeframe <1m.csv>
parallel_assets.py Process many symbols in parallel — the Rust extension releases the GIL during batch computation. python -m examples.python.parallel_assets --assets 200 --bars 5000
fetch_btcusdt.py Download real BTCUSDT klines from the Binance REST API into examples/data/ (urllib + stdlib only). python -m examples.python.fetch_btcusdt

live_trading.py additionally needs pip install websockets.

Node.js — examples/node/

Build the native binding once, then link it into the examples directory:

cd bindings/node && npm install && npx napi build --platform --release
cd ../../examples/node && npm install        # links wickra + installs `ws`
Example What it does Run
streaming.js Feed a synthetic price series through several indicators tick by tick. node streaming.js
backtest.js Basket of indicators over an OHLCV CSV; defaults to the bundled BTCUSDT daily dataset. node backtest.js [ohlcv.csv]
multi_timeframe.js Roll a 1-minute CSV up to 5m / 15m / 1h / 4h / 1d and print indicators per timeframe. node multi_timeframe.js [path/to/1m.csv]
parallel_assets.js Serial vs worker_threads pool over a synthetic panel, with speedup. node parallel_assets.js --assets 200 --bars 5000
live_trading.js Live Binance feed → RSI / MACD / Bollinger → signals. node live_trading.js --symbol BTCUSDT --interval 1m
fetch_btcusdt.js Download real BTCUSDT klines from the Binance REST API into examples/data/ (built-in fetch, Node 18+). node fetch_btcusdt.js

WebAssembly — examples/wasm/

Example What it does Run
index.html Browser demo: streams a price series through six indicators and draws a live <canvas> chart. wasm-pack build bindings/wasm --target web --release --features panic-hook, then serve the repository root and open examples/wasm/index.html

Example datasets

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 the latest market history via cargo run -p wickra-examples --bin fetch_btcusdt.