kingchenc
5a4cf66022
Python and Rust both lacked a standalone "streaming indicators" example that mirrors examples/node/streaming.js — the quickstart docs cover the pattern, but a runnable file makes the parity visible across all four languages. * examples/python/streaming.py — argparse-driven synthetic streaming demo feeding SMA(20) / EMA(20) / RSI(14) / MACD(12,26,9), tagging BUY?/SELL? candidates when RSI extremes and MACD-histogram direction agree. * examples/rust/src/bin/streaming.rs — same demo as a wickra-examples binary, reusing the seeded LCG so its first 40 rows are bit-identical to the Python (and Node) sibling — a strong cross-language consistency signal verified by running both side by side. * examples/README.md gains a `streaming` row in the Rust and Python tables.
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> |
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] |
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.