kingchenc
de1112ea91
The examples stream a live Binance feed into the indicators and print signals;
they place no orders, so 'live_trading' overstated them and was inconsistent
with the C/Go/R examples already named live_binance. Rename the Python/Node/WASM
files to live_binance.* and update every reference, run command, header, and the
project-tree listings. Accurate use-case wording ('suitable for live trading
bots') and the risk disclaimers are left unchanged.
Wickra WASM examples
Browser demos for the wickra-wasm WASM binding. Every demo loads
the module the same way (init() then construct indicators) so the
patterns transfer one-to-one to your own page.
Build
The WASM module ships as a wasm-pack --target web bundle. Build it
once from the repository root:
wasm-pack build bindings/wasm --target web --release --features panic-hook
This drops bindings/wasm/pkg/ with the .wasm binary, the JS loader
and TypeScript types. Every demo here imports the loader via
../../bindings/wasm/pkg/wickra_wasm.js.
Serve
ES-module workers and fetch() over CSV both need a real HTTP origin,
not file://. Any static server from the repository root works:
# Python:
python -m http.server 8000
# Or Node:
npx http-server -p 8000
Then open the demo you want at http://localhost:8000/examples/wasm/<file>.
Demos
| File | What it does |
|---|---|
index.html |
The original showcase: streams a synthetic price series through six indicators and draws a live <canvas> chart with SMA, EMA, RSI, MACD, BollingerBands and ATR cards. |
backtest.html |
Backtest: fetches an OHLCV CSV (default the bundled BTCUSDT daily dataset), streams every candle through a basket of eight indicators, prints a summary table. Mirrors examples/python/backtest.py. |
live_binance.html |
Browser-native WebSocket to Binance kline streams; runs RSI / MACD / Bollinger on the incoming closes and flags BUY/SELL candidates when the three agree. Mirrors examples/python/live_binance.py. |
multi_timeframe.html |
Fetches a 1-minute CSV, rolls it up in-page to 5m / 15m / 1h / 4h / 1d buckets and prints RSI / MACD-histogram / ADX per timeframe. Mirrors examples/python/multi_timeframe.py. |
parallel_assets.html |
Synthetic (assets, bars) panel, serial baseline on the main thread vs. a pool of module Workers each loading its own copy of the WASM module. Mirrors examples/python/parallel_assets.py. |
parallel_worker.js |
Module worker used by parallel_assets.html (not loaded directly). |
strategy_rsi_mean_reversion.html |
RSI(14) mean-reversion (long < 30, exit > 70), 0.1% fees, summary table. Mirrors examples/python/strategy_rsi_mean_reversion.py. |
strategy_macd_adx.html |
MACD(12,26,9) crossover gated by ADX(14) > 20, summary table. Mirrors examples/python/strategy_macd_adx.py. |
strategy_bollinger_squeeze.html |
Bollinger-squeeze breakout with a 2×ATR(14) stop, summary table. Mirrors examples/python/strategy_bollinger_squeeze.py. |
Performance
The in-browser benchmark is parallel_assets.html: it times a serial main-thread
baseline against a pool of module Workers and reports the speedup. For raw
single-thread throughput numbers see the sibling benchmarks — Rust criterion
(crates/wickra/benches/), Python (bindings/python/benchmarks/compare_libraries.py)
and Node (bindings/node/benchmarks/throughput.js, npm run bench). The WASM
engine is the same Rust core compiled to wasm32, so its relative ordering of
indicators tracks those.
See also
- Quickstart: WASM — module-load
flow,
wasm-packtargets, and the streaming API. - examples/README.md — cross-language index, including the Rust, Python, Node.js, C and C# siblings of every demo above.