# Wickra — R 
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**Streaming-first technical indicators for R, over the Wickra C ABI hub via `.Call`.**
Wickra is a multi-language technical-analysis library with a Rust core and
bindings for Python, Node.js and WASM, plus a C ABI for C, C++, C#, Go, Java, R
and any other C-capable language. Every indicator is an O(1) streaming state
machine, so live trading and historical backtests share the exact same
implementation. This package is the R binding; it reaches the C ABI hub through
R's native `.Call` interface and exposes all 514 indicators as constructors that
return a lightweight `wickra_indicator` object.
## Install
The package compiles a thin C glue layer (`.Call`) against the prebuilt Wickra
C ABI library, so a C toolchain (Rtools on Windows) is required, plus the C ABI
header and library. Build the library from the workspace, then install the
package pointing at it:
```bash
cargo build -p wickra-c --release
WICKRA_INCLUDE_DIR="$PWD/bindings/c/include" \
WICKRA_LIB_DIR="$PWD/target/release" \
R CMD INSTALL bindings/r
```
On Windows the C ABI DLL is bundled into the package and put on the load path
automatically; on Linux and macOS the library path is baked in via rpath.
## Quick start
```r
library(wickra)
# Batch: run an indicator over a whole series (NaN at warmup positions).
prices <- 100 + (0:999) * 0.1
sma <- Sma(20)
values <- batch(sma, prices)
# Streaming: the same indicator, fed one observation at a time in O(1).
rsi <- Rsi(14)
for (price in prices) {
v <- update(rsi, price) # NaN during warmup
if (!is.na(v) && v > 70) message("overbought")
}
# Multi-output indicators return a named vector (NA while warming up).
macd <- MacdIndicator(12, 26, 9)
update(macd, 42) # c(macd = NA, signal = NA, histogram = NA)
```
`batch(ind, prices)` and feeding the same prices through `update()` produce
identical values — the equivalence is enforced by the test suite. Candle-input
indicators take the OHLCV fields plus a timestamp, e.g.
`update(atr, open, high, low, close, volume, timestamp)`. The native handle is
freed automatically when the object is garbage-collected.
## Benchmark
`benchmarks/throughput.R` reports streaming and batch updates-per-second for
`SMA`, `ATR` and `MACD`. It measures this binding's FFI overhead, not a
cross-library ratio (the same Rust core runs under every binding) — see the
repository [BENCHMARKS.md](https://github.com/wickra-lib/wickra/blob/main/BENCHMARKS.md) §3.
```bash
Rscript benchmarks/throughput.R
```
## Documentation
The full indicator catalogue, guides, quickstarts, and API reference live in the
main repository and documentation site:
- **Repository & full indicator list:**
- **Docs** (quickstarts, cookbook, TA-Lib migration):
- **Runnable examples:** [`examples/r/`](https://github.com/wickra-lib/wickra/tree/main/examples/r)
Wickra ships native bindings for Python, Node.js, WASM and Rust, plus a
C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against —
all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
## Security
Found a security issue? **Please don't open a public issue.** Report it privately
via the affected repository's *Security* tab (*"Report a vulnerability"*) or email
**support@wickra.org** with a subject line starting `[wickra security]`. Full
policy: .
## Disclaimer
Wickra is an indicator toolkit, not a trading system. The values it computes are
deterministic transforms of the input data — they are not financial advice and
do not predict the market. Any use in a live trading context is at your own risk.
The library is provided **as is**, without warranty of any kind.
## License
Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.