Files
wickra/examples/r
kingchenc 75eefbbd08 examples: fix and harmonize the strategy backtests across all languages (#324)
The strategy_* examples were only syntax-smoked in CI, never run, which hid two
classes of problem:

1. Python strategy_macd_adx / strategy_bollinger_squeeze passed three separate
   arguments to the candle indicators ADX/ATR, whose .update() takes a single
   candle — a TypeError at runtime — and read the ADX tuple at index 0 (plus_di)
   instead of 2 (adx). Both fixed.

2. The Go / C# / R / Java strategies defaulted to synthetic data and used a
   different (annualised) one-line summary, so they printed wildly different
   numbers from the Rust/Python/Node/C/WASM suite. Rewrite them to the shared
   per-trade backtest (load the bundled BTCUSDT CSV by default, same entry/exit
   logic, same print_summary output).

All nine runnable bindings now print byte-identical backtest summaries on the
same data (MACD+ADX 246 trades / -47.19%, RSI 37 / -17.84%, Bollinger 1 / -7.82%),
verified by diffing each language's output against the Python reference. WASM
shares the same logic and bundled dataset (browser-rendered).
2026-06-17 17:56:22 +02:00
..

Wickra examples — R

Runnable R examples for the Wickra R binding. Each example is a small script; they share the deterministic synthetic data, CSV loader, and equity summary in _common.R.

Install the binding first (it compiles against the C ABI library — see the binding README), then run any example from this directory:

cargo build -p wickra-c --release
WICKRA_INCLUDE_DIR="$PWD/bindings/c/include" WICKRA_LIB_DIR="$PWD/target/release" \
  R CMD INSTALL bindings/r
cd examples/r
Rscript streaming.R
Example What it does Run
streaming.R Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. Rscript streaming.R
backtest.R Compute a basket of indicators over an OHLCV series and print a summary. Rscript backtest.R <ohlcv.csv>
multi_timeframe.R Resample a 1-minute series into 5m / 15m and print an indicator per timeframe. Rscript multi_timeframe.R
parallel_assets.R SMA(20) batch over a panel, serial vs mclapply, with speedup. Rscript parallel_assets.R 200 5000
strategy_rsi_mean_reversion.R RSI(14) mean-reversion with a PnL / Sharpe / max-DD summary. Rscript strategy_rsi_mean_reversion.R
strategy_macd_adx.R MACD crossover entries gated by ADX(14) > 20. Rscript strategy_macd_adx.R
strategy_bollinger_squeeze.R Bollinger-squeeze breakout with an ATR(14) trailing stop. Rscript strategy_bollinger_squeeze.R
fetch_btcusdt.R Download real BTCUSDT klines from the Binance REST API into a CSV (native fetch_binance_klines). Rscript fetch_btcusdt.R
live_binance.R Stream live Binance klines through EMA(20) via the native BinanceFeed. Rscript live_binance.R

fetch_btcusdt.R and live_binance.R require network access but no third-party packages — they use Wickra's native REST fetcher and live feed; the rest run offline on deterministic synthetic data. parallel_assets.R forks via parallel::mclapply on Unix and runs serially on Windows.