kingchenc
962ced0712
Python's examples/python/multi_timeframe.py had no Rust or Node sibling. Add both — the Rust version uses wickra-data's `Resampler` / `resample_all` (the canonical path; no manual roll-up), the Node version mirrors the Python one's inline aggregation because wickra-data's resampler is currently Rust-only. * examples/rust/src/bin/multi_timeframe.rs — reads the bundled 1m CSV via `CandleReader`, resamples to 5m / 15m / 1h / 4h / 1d via `resample_all`, prints last RSI(14), MACD(12,26,9) histogram and ADX(14) per timeframe. * examples/node/multi_timeframe.js — same outputs from a hand-rolled bucket aggregator; reuses the new examples/data/ default path. * examples/README.md gains the new rows. Run side by side: the Rust and Node summaries are bit-identical at every timeframe (50000 / 10000 / 3334 / 834 / 209 / 35 bars; same RSI, MACD histogram and ADX to two decimals) — confirming both the Rust resampler and the inline Node aggregator produce the same OHLC buckets.
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 |
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] |
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.