kingchenc
2ae76bb90e
Adds `BinanceRest::fetch_klines` to `wickra-data`: a blocking historical kline downloader (`GET /api/v3/klines`) and the historical counterpart to the F4 live `BinanceFeed`. It is the last native data-layer primitive needed to drop third-party HTTP/JSON download helpers (`jackson`, `jsonlite`, `urllib`, …) from the examples. ## What - **Core** (`wickra-data`): `fetch_klines(symbol, interval, limit, start?, end?)` built on `ureq` with native-tls — sharing the exact same TLS backend (native-tls 0.2 / SChannel) as the existing tokio-tungstenite live feed, so the two pull one TLS stack, not two. Parses Binance's 12-element array rows via the existing serde infrastructure into validated `Candle`s. Blocking by design (a one-shot request needs no async runtime; the FFI boundary is synchronous anyway). Nine mock-HTTP-server tests cover parse / empty / limit / transport / JSON / invariant-violation paths. - **C ABI**: `wickra_binance_fetch_klines(...)` (blocking drain into a caller buffer, `-1` on error) + regenerated cbindgen header and its vendored Go copy. - **Bindings**: native Node `fetchBinanceKlines` / Python `fetch_binance_klines`; generated Go `FetchBinanceKlines` / C# `BinanceFeed.FetchKlines` / Java `BinanceFeed.fetchKlines` / R `fetch_binance_klines`. C / C++ call the C ABI directly. **WASM is excluded** (browsers use the host `fetch`). The four C-ABI bindings are regenerated from the ScriptHelpers generators (not hand-edited); the regen diff is exactly the new wrapper in each. ## Verification All ten toolchains green locally: Rust (`cargo test`/`clippy`/`fmt`), Node, Python, Go, C#, Java, R (`R CMD INSTALL` + smoke), WASM (`cargo check`, confirmed `ureq` is not pulled). Each binding has an error-path smoke test; the parse/HTTP success path is covered by the Rust mock-server tests. No release in this PR — ships with the data-layer + numpy bundle later.
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.