feat: add 7 alt-chart bar builders (B19) (#220)
Adds seven information-driven bar builders to the **Alt-Chart Bars** family, the final batch of the family-deepening run. Indicator count **507 → 514**. ## Builders All implement the `BarBuilder` trait (`update(Candle) -> Vec<Bar>`), emitting a data-dependent number of completed bars per candle. | Builder | Driver | Bar fields | |---------|--------|-----------| | `RangeBars` | close | open, close, direction | | `TickBars` | OHLCV | open, high, low, close, volume | | `VolumeBars` | OHLCV | open, high, low, close, volume | | `DollarBars` (Lopez de Prado) | OHLCV | + dollar | | `ImbalanceBars` | OHLC | + imbalance, direction | | `RunBars` | OHLC | + length, direction | | `ThreeLineBreakBars` | close | open, close, direction | ## Touchpoints Seven core modules (each with full unit tests), `mod.rs`/`lib.rs` (builders counted, bar element types on their own re-export lines), README family rows, Python/Node/WASM hand-written bindings for the variable-length output (Python tuples + `(k, N)` ndarray; Node `Vec<object>`; WASM array of objects), the `bar_builder_update_candle` fuzz target, dedicated Python + Node tests, the `BAR_BUILDERS` completeness exclusion, and CHANGELOG. ## Verification - `cargo test -p wickra-core --lib` — 4207 passed - `cargo test -p wickra-core --doc` — 464 passed - `cargo clippy --workspace --all-targets --all-features -- -D warnings` — clean - `npm test` (node) — 584 passed - `pytest` (python) — 957 passed
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kingchenc
@@ -1,5 +1,5 @@
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<p align="center">
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<a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=507" alt="Wickra — streaming-first technical indicators" width="100%"></a>
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<a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=514" alt="Wickra — streaming-first technical indicators" width="100%"></a>
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</p>
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[](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
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@@ -48,7 +48,7 @@ Full documentation lives at **[docs.wickra.org](https://docs.wickra.org)**:
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[Node](https://docs.wickra.org/Quickstart-Node),
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[WASM](https://docs.wickra.org/Quickstart-WASM).
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- **Indicators** — a per-indicator deep dive (formula, parameters, warmup) for
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every one of the 507 indicators; start at the
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every one of the 514 indicators; start at the
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[indicators overview](https://docs.wickra.org/Indicators-Overview).
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- **Reference** — [warmup periods](https://docs.wickra.org/Warmup-Periods),
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[streaming vs batch](https://docs.wickra.org/Streaming-vs-Batch),
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@@ -66,7 +66,7 @@ an afterthought — **live, tick-by-tick data** — without giving up the breadt
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a full batch library, and without making you reimplement your indicators four
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times to get there.
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- **The biggest streaming-native catalogue, period.** 507 indicators across 24
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- **The biggest streaming-native catalogue, period.** 514 indicators across 24
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families — candlesticks, harmonic & chart patterns, market profile, market
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breadth, Renko/Kagi/Point&Figure bars, Ehlers DSP cycles, risk/performance
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metrics — every single one updating in **O(1) per tick**. TA-Lib ships ~150 and
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@@ -77,7 +77,7 @@ times to get there.
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- **Correct by construction, not by hope.** Every `update` validates its input,
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runs a real warmup, and returns an `Option` so a single bad tick can't silently
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poison state. `batch == streaming` is **bit-exact, fuzzed and 100 %-line-covered
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for all 507 indicators**.
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for all 514 indicators**.
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- **Orders of magnitude faster where it counts.** In streaming Wickra is **11–56×**
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faster than the only other incremental peer and **thousands of times** faster
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than recompute-on-every-tick libraries. On batch it wins several rows outright
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@@ -95,7 +95,7 @@ Every other library forces one of those compromises. Wickra doesn't:
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| Library | Install | Streaming | Languages | Indicators | Active |
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|------------------|-------------|-------------|-----------------------------|-----------:|--------|
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| **★ Wickra**| **clean** | **yes, O(1)** | **Python · Node · WASM · Rust** | **507** | **yes** |
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| **★ Wickra**| **clean** | **yes, O(1)** | **Python · Node · WASM · Rust** | **514** | **yes** |
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| kand | clean | yes | Python · WASM · Rust | ~60 | yes |
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| ta-rs | clean | yes | Rust only | ~30 | stale |
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| yata | clean | partial | Rust only | ~35 | yes |
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@@ -128,7 +128,7 @@ Full tables (Rust + Python, streaming + batch) and how to reproduce them live in
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## Indicators
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507 streaming-first indicators across twenty-four families. Every one passes the
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514 streaming-first indicators across twenty-four families. Every one passes the
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`batch == streaming` equivalence test, reference-value tests, and reset
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semantics tests. Each has a per-indicator deep dive (formula, parameters,
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warmup) at [docs.wickra.org](https://docs.wickra.org/Indicators-Overview).
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@@ -148,7 +148,7 @@ warmup) at [docs.wickra.org](https://docs.wickra.org/Indicators-Overview).
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| Pivots & S/R | Classic Pivots, Fibonacci Pivots, Camarilla, Woodie Pivots, DeMark Pivots, Williams Fractals, ZigZag, Central Pivot Range, Murrey Math Lines, Andrews Pitchfork, Volume-Weighted Support/Resistance, Pivot Reversal |
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| DeMark | TD Setup, TD Sequential, TD DeMarker, TD REI, TD Pressure, TD Combo, TD Countdown, TD Lines, TD Range Projection, TD Differential, TD Open, TD Risk Level, TD Camouflage, TD Clop, TD Clopwin, TD Propulsion, TD Trap, TD D-Wave, TD Moving Averages |
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| Ichimoku & Charts | Ichimoku Kinko Hyo (Tenkan, Kijun, Senkou A/B, Chikou), Heikin-Ashi, Heikin-Ashi Oscillator, Three Line Break, Smoothed Heikin-Ashi, Equivolume, CandleVolume |
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| Alt-Chart Bars | Renko (box-size bricks), Kagi (reversal-amount lines), Point & Figure (X/O columns) |
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| Alt-Chart Bars | Renko (box-size bricks), Kagi (reversal-amount lines), Point & Figure (X/O columns), Range, Tick, Volume, Dollar, Imbalance, Run, Three-Line Break |
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| Candlestick Patterns | Doji, Hammer, Inverted Hammer, Hanging Man, Shooting Star, Engulfing, Harami, Morning/Evening Star, Three White Soldiers/Black Crows, Piercing Line/Dark Cloud Cover, Marubozu, Tweezer, Spinning Top, Three Inside Up/Down, Three Outside Up/Down, Two Crows, Upside Gap Two Crows, Identical Three Crows, Three Line Strike, Three Stars in the South, Abandoned Baby, Advance Block, Belt-hold, Breakaway, Counterattack, Doji Star, Dragonfly Doji, Gravestone Doji, Long-Legged Doji, Rickshaw Man, Evening Doji Star, Morning Doji Star, Gap Side-by-Side White, High-Wave, Hikkake, Modified Hikkake, Homing Pigeon, On-Neck, In-Neck, Thrusting, Separating Lines, Kicking, Kicking by Length, Ladder Bottom, Mat Hold, Matching Low, Long Line, Short Line, Rising Three Methods, Falling Three Methods, Upside Gap Three Methods, Downside Gap Three Methods, Stalled Pattern, Stick Sandwich, Takuri, Closing Marubozu, Opening Marubozu, Tasuki Gap, Unique Three River, Concealing Baby Swallow, Tristar, Harami Cross, Tower Top/Bottom, Dumpling Top, New Price Lines, Frying Pan Bottom |
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| Chart Patterns | Double Top / Bottom, Triple Top / Bottom, Head and Shoulders, Triangle (asc/desc/sym), Wedge (rising/falling), Flag / Pennant, Rectangle / Range, Cup and Handle |
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| Harmonic Patterns | AB=CD, Gartley, Butterfly, Bat, Crab, Shark, Cypher, Three Drives |
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@@ -237,7 +237,7 @@ A Python live-trading example using the public `websockets` package lives at
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```
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wickra/
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├── crates/
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│ ├── wickra-core/ core engine + all 507 indicators
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│ ├── wickra-core/ core engine + all 514 indicators
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│ ├── wickra/ top-level facade crate (publishes on crates.io) + benches/
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│ ├── wickra-data/ CSV reader, tick aggregator, live exchange feeds
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│ └── wickra-bench/ internal cross-library benchmark harness (not published)
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