kingchenc
3a709d9a66
* feat(data): C-ABI Binance feed + Go binding (F4 wip)
C ABI exposes the existing async BinanceKlineStream (tokio + TLS, auto-reconnect,
mock-server-tested in wickra-data) through a blocking poll: wickra_binance_connect
/ _next(out, timeout_ms) -> {1 event, 0 timeout, -1 closed} / _close / _free over
an opaque BinanceStream that owns a current-thread runtime. WickraKlineEvent
carries OHLCV + open_time + is_closed + a 16-byte symbol buffer. `live-binance`
is now a default feature of wickra-c (the published DLL ships the feed; the wasm
build drops it via --no-default-features).
Go: NewBinanceFeed(symbols, interval, baseURL) + Next(timeout) + Close, with a
deterministic error-path smoke (the connect->event pipeline is covered by the
Rust mock-WS-server tests).
* feat(data): Binance feed C# + Java bindings (F4 wip)
C#: BinanceFeed(symbols, interval, baseUrl?) + Next(timeout) -> KlineEvent? +
Dispose; bespoke WickraKlineEvent native struct (fixed symbol buffer + byte
is_closed) since the scalar struct parser can't model it. `char` maps to `byte`
for the const char* params.
Java: BinanceFeed + KlineEvent record + BinanceInterval enum over Panama FFM;
the event is read at hand-computed offsets (symbol@0, doubles@16..48,
open_time@56, is_closed@64; 72-byte struct). Both with deterministic error-path
smokes (pipeline covered by the Rust mock-WS-server tests).
* feat(data): Binance feed R binding (F4 wip)
R: BinanceFeed(symbols, interval, base_url) + binance_next(feed, timeout_ms) ->
named list | NULL + binance_close, via bespoke .Call glue (wk_binance_*). The
glue + its registration entries are gated out of the Emscripten/wasm build
(#ifndef __EMSCRIPTEN__) since r-universe/webR has no raw sockets. NAMESPACE
exports added by hand (roxygen2 not installed locally). Deterministic error-path
smoke; pipeline covered by the Rust mock-WS-server tests.
* feat(data): native Binance feed for Node + Python; CHANGELOG (F4 complete)
Node (napi) BinanceFeed: new(symbols, interval, baseUrl?) + next(timeoutMs) ->
KlineEvent | null + close. Python (pyo3) BinanceFeed: same, with next releasing
the GIL (py.detach) while it waits. Both drive the mock-server-tested async
BinanceKlineStream on a single-thread tokio runtime (blocking poll); wickra-data
gains the live-binance feature + tokio in each binding.
Completes F4: the live Binance kline feed is now native in all 9 languages
(WASM excluded), with no third-party WebSocket client in any of them.
Wickra — R 
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:
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
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 §3.
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: https://github.com/wickra-lib/wickra
- Docs (quickstarts, cookbook, TA-Lib migration): https://docs.wickra.org
- Runnable examples:
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: https://github.com/wickra-lib/wickra/blob/main/SECURITY.md.
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 or MIT at your option.