Commit Graph
4 Commits
Author SHA1 Message Date
kingchenc 2cebb3cca1 C10: reject same-bucket out-of-order ticks
push rejected ticks that went backwards across buckets but absorbed any
tick whose timestamp fell inside the open bucket — including one older
than the last tick already absorbed. Such a stale tick silently
overwrote the bar's close with an outdated price.

Track last_ts on OpenBar (set in from_tick, advanced in absorb) and, on
the same-bucket path, reject a tick whose timestamp predates it with
Error::Malformed, leaving the open bar untouched. Ticks that share a
timestamp are still accepted, since several trades can land in the same
millisecond.
2026-05-22 12:22:33 +02:00
kingchenc f33f59ad68 C9: saturate Timeframe::floor instead of overflowing at i64::MIN
Timeframe::floor computed `ts - ts.rem_euclid(bucket)`. For a timestamp
within one bucket of i64::MIN the subtrahend is a positive remainder
and the true boundary lies below i64::MIN, so the subtraction overflowed
and panicked in debug builds.

Switch to saturating_sub: the result clamps to i64::MIN in that
practically unreachable case and stays exact everywhere else. floor
keeps its infallible `-> i64` signature, so neither push path changes.
2026-05-22 12:21:25 +02:00
kingchenc 81680bbb4b C6: add opt-in gap filling to the tick aggregator
A tick that jumped across one or more empty buckets previously opened
the next non-empty bar directly, so the candle series silently grew
time holes — downstream indicators (EMA, ATR, ...) computed over such a
series drift from one computed over an unbroken series.

Add an opt-in gap-fill mode: with_gap_fill(true) makes push emit a flat
placeholder candle (open == high == low == close = the pre-gap close,
volume = 0) for every skipped bucket. push now returns Result<Vec<Candle>>
so a single tick can yield the closed bar plus its trailing fillers;
the empty vector replaces the former Ok(None). Timestamp overflow while
filling is reported as Error::Malformed. Default behaviour is unchanged
(gaps skipped) and is now documented on the type and on push.
2026-05-22 12:14:21 +02:00
kingchenc 3be267cb03 Wickra 0.1.0: streaming-first technical indicators
A multi-language technical analysis library: 25 indicators across trend,
momentum, volatility, and volume families, every one a state machine with
O(1) per-tick updates. Batch evaluation is provided by a blanket extension
trait over the streaming primitive, so live trading bots and historical
backtests run the same code path.

What ships in this initial drop:

  crates/wickra-core   - 25 indicators, Indicator/BatchExt/Chain traits,
                          OHLCV types with validation; 171 unit tests,
                          property tests, Wilder/Bollinger textbook tests.
  crates/wickra        - top-level facade + criterion benches for every
                          indicator at 1K/10K/100K series sizes.
  crates/wickra-data   - streaming CSV reader, tick-to-candle aggregator,
                          multi-timeframe resampler, Binance Spot kline
                          WebSocket adapter behind feature live-binance;
                          11 unit + 1 doctest.
  bindings/python      - PyO3 + maturin, NumPy I/O, type stubs (.pyi),
                          56 pytest tests including streaming==batch
                          equivalence, Wilder reference values, lifecycle.
  bindings/node        - napi-rs native module, TypeScript .d.ts
                          auto-generated, 7 node --test cases.
  bindings/wasm        - wasm-bindgen ES module for browser/bundler/Node;
                          interactive HTML demo at examples/index.html.
  examples/            - Python and Rust scripts: backtest, live trading,
                          parallel multi-asset, multi-timeframe, Binance.
  benchmarks/          - cross-library comparison against TA-Lib,
                          pandas-ta, finta, talipp; Wickra wins every
                          category by 11-1030x (batch) and 17x+ streaming.
  .github/workflows/   - CI matrix (Rust + Python + Node + WASM on
                          Linux/macOS/Windows), release pipeline for
                          PyPI wheels and npm.

Indicators (25):
  Trend       SMA EMA WMA DEMA TEMA HMA KAMA
  Momentum    RSI MACD Stochastic CCI ROC WilliamsR ADX MFI TRIX
              AwesomeOscillator Aroon
  Volatility  BollingerBands ATR Keltner Donchian PSAR
  Volume      OBV VWAP (cumulative + rolling)

cargo clippy --workspace --all-targets -D warnings is clean. License: Apache-2.0.
2026-05-21 17:50:45 +02:00