kingchenc
43b0b26736
Python's parallel_assets.py demoed GIL-release multi-core throughput; Rust and Node both lacked a sibling that shows their own native parallelism. Close the gap with two real, runnable examples. * examples/rust/src/bin/parallel_assets.rs — synthesises an (assets, bars) panel with a deterministic per-asset LCG, runs a serial baseline, then `Sma::batch_parallel` / `Rsi::batch_parallel` via rayon, asserts the two outputs are element-wise identical and prints the speedup. Toggle indicator with `--indicator sma|rsi`. * examples/node/parallel_assets.js — same shape, but the parallel run is a `worker_threads` pool that re-loads the native binding in each worker. Each worker computes the last non-null indicator value for its slice; the main thread aggregates and verifies serial == parallel per asset. Both examples report timings and the serial-vs-parallel sanity check passes. Defaults (200 × 5000) keep the example fast on dev hardware; larger `--assets`/`--bars` is where the speedup numbers move (Node's worker spawn cost dominates the smallest sizes, which is honest and educational). examples/README.md gains the two new rows.
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 |
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 |
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.