de1112ea91
The examples stream a live Binance feed into the indicators and print signals;
they place no orders, so 'live_trading' overstated them and was inconsistent
with the C/Go/R examples already named live_binance. Rename the Python/Node/WASM
files to live_binance.* and update every reference, run command, header, and the
project-tree listings. Accurate use-case wording ('suitable for live trading
bots') and the risk disclaimers are left unchanged.
339 lines
16 KiB
Markdown
339 lines
16 KiB
Markdown
# Architecture
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A walkthrough of how Wickra is organised internally — written for new
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contributors who want to know **where the code lives, why it's split that
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way, and which invariants they must not break**. Pair it with [`CONTRIBUTING.md`](CONTRIBUTING.md)
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for the day-to-day workflow.
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## Workspace layout
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Wickra is a Cargo workspace of three Rust crates plus four binding crates.
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The split is deliberate: every concern that one user might want to disable
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or replace lives behind a separate crate boundary.
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```
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┌────────────────────────────────────────────────────────────────────┐
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│ wickra (facade) │
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│ re-exports wickra-core::* + wickra-data::* │
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└──────────────┬──────────────────────────────────┬──────────────────┘
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│ │
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┌───────────▼──────────┐ ┌──────────▼─────────┐
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│ wickra-core │ │ wickra-data │
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│ indicator engine │ │ i/o + aggregation │
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│ • 514 indicators │ │ • CSV reader │
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│ • Indicator trait │ │ • Tick aggregator │
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│ • BatchExt impl │ │ • Resampler │
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│ • OHLCV / Candle │ │ • Live feeds │
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│ no I/O, no deps │ │ optional features │
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└──────────────────────┘ └────────────────────┘
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▲
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│ every binding wraps the same core
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┌────────────┼────────────┬────────────────┐
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│ │ │ │
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┌──▼───────┐ ┌──▼───────┐ ┌──▼───────────┐ ┌──▼──────────────────┐
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│ Python │ │ Node.js │ │ WASM │ │ C ABI (cbindgen) │
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│ (PyO3) │ │ (napi-rs)│ │(wasm-bindgen)│ │ cdylib + header │
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└──────────┘ └──────────┘ └──────────────┘ └─────────┬───────────┘
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│ linked by
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┌──────────▼──────────┐
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│ C · C++ · C# · Go │
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│ · Java · R │
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└─────────────────────┘
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```
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Python, Node.js and WASM are *native* Rust bindings (PyO3 / napi-rs /
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wasm-bindgen). The C ABI is the *hub* every other C-capable language links
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against: it builds to a `cdylib`/`staticlib` plus a generated `wickra.h`, and
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downstream languages link that one artifact rather than each re-wrapping the
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core. C and C++ link it directly; the **C#** binding (`bindings/csharp`,
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on NuGet), the **Go** binding (`bindings/go`, cgo), the **R** binding
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(`bindings/r`, `.Call`) and the **Java** binding (`bindings/java`, the Java FFM
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API / Panama, on Maven Central) are all generated from `wickra.h`.
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| Crate | Path | What it owns | Public deps |
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|---|---|---|---|
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| `wickra-core` | `crates/wickra-core` | every indicator, the `Indicator` trait, `BatchExt`, `Candle`/`Tick` types, `Error` | `thiserror`, `rayon` (parallel batch) |
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| `wickra` | `crates/wickra` | thin facade — re-exports everything user-facing from `wickra-core` and `wickra-data` | both internal crates |
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| `wickra-data` | `crates/wickra-data` | CSV reader, tick aggregator, resampler, live exchange feeds (feature-gated) | `tokio`, `tokio-tungstenite` (live), `serde_json` |
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| `wickra-python` | `bindings/python` | `_wickra` PyO3 module + Python package | `pyo3`, `numpy`, depends on `wickra-core` |
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| `wickra-node` | `bindings/node` | NAPI-RS native binding | `napi`, depends on `wickra-core` |
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| `wickra-wasm` | `bindings/wasm` | WASM binding | `wasm-bindgen`, depends on `wickra-core` |
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| `wickra-c` | `bindings/c` | C ABI hub — `cdylib`/`staticlib` + generated `wickra.h` (cbindgen) | depends on `wickra-core` |
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| `wickra-examples` | `examples/rust` | runnable binary examples | depends on `wickra`, `wickra-data` |
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The `fuzz/` directory is **excluded** from the workspace (it has its own
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`Cargo.toml`) because the libfuzzer-sys harness requires a nightly
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toolchain, which would otherwise infect the stable workspace lints.
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## The `Indicator` trait
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Every indicator in Wickra implements one trait, defined in
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`crates/wickra-core/src/traits.rs`:
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```rust
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pub trait Indicator {
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type Input;
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type Output;
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fn update(&mut self, input: Self::Input) -> Option<Self::Output>;
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fn reset(&mut self);
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fn warmup_period(&self) -> usize;
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fn is_ready(&self) -> bool;
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fn name(&self) -> &'static str;
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}
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```
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Four design choices that are non-negotiable:
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1. **Streaming-first.** `update` is the only computation entry point. Each
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call must be O(1) amortised — no replays over history, no `clone`s of
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the input window unless absolutely necessary.
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2. **`Option<Output>` warmup.** A new indicator returns `None` until it has
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ingested `warmup_period()` inputs. After that it returns `Some(value)`
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on every call. The `None` → `Some` transition happens exactly once per
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`reset()`.
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3. **Reset is mandatory.** Calling `reset()` returns the indicator to the
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state of a newly constructed one. Tests verify this for every indicator.
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4. **No interior mutability across `update` calls.** Indicators may hold
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`VecDeque` / array state, but no `Cell`/`RefCell`/`Mutex` should be
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needed — `&mut self` is the only mutation channel.
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### Batch is free
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`BatchExt` is a blanket impl over `Indicator`:
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```rust
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impl<I: Indicator> BatchExt for I {
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fn batch<'a>(&mut self, input: &'a [I::Input]) -> Vec<Option<I::Output>>
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where I::Input: Copy
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{
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input.iter().map(|x| self.update(*x)).collect()
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}
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fn batch_parallel(...) // rayon-based for multi-asset processing
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}
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```
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Consequence: **every indicator gets batch and parallel-batch for free** as
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soon as `Indicator` is implemented. Tests verify `batch == streaming`
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equivalence on every indicator — this is the `batch_equals_streaming` test
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that appears in every indicator module.
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## Indicator-module convention
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Each indicator lives in its own file under
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`crates/wickra-core/src/indicators/`. Naming: snake-case of the struct,
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e.g. `Sma` → `sma.rs`, `MacdIndicator` → `macd.rs`.
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Layout inside an indicator file is uniform:
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```rust
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//! Doc-comment with the formula and one-line summary.
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use std::collections::VecDeque;
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use crate::error::{Error, Result};
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use crate::traits::Indicator;
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/// Public struct + rustdoc with mathematical definition + a runnable example.
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#[derive(Debug, Clone)]
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pub struct Foo { /* state fields */ }
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impl Foo {
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/// Constructor with parameter validation.
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pub fn new(period: usize, ...) -> Result<Self> { ... }
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/// Const accessors for configured params.
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pub const fn period(&self) -> usize { ... }
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}
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impl Indicator for Foo {
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type Input = f64; // or (f64, f64), or Candle
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type Output = f64; // or FooOutput { ... }
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fn update(...) -> ... { ... }
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fn reset(...) { ... }
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fn warmup_period(...) -> usize { ... }
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fn is_ready(...) -> bool { ... }
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fn name(...) -> &'static str { "Foo" }
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}
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#[cfg(test)]
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mod tests {
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// mandatory tests (every indicator):
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// - rejects_invalid_params
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// - accessors_and_metadata
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// - reference_value (vs TA-Lib / pandas-ta / hand-calculated)
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// - ignores_non_finite_input
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// - reset_clears_state
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// - batch_equals_streaming
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// plus indicator-specific edge cases
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}
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```
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The `FAMILIES` constant in `mod.rs` (introduced in PR #60) is the
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machine-readable index of which family every indicator belongs to. It is
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the canonical taxonomy; README and Wiki tables should be derived from it.
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## Input types
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| Input | Used for | Examples |
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|---|---|---|
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| `f64` | Scalar inputs — usually a price or a return | SMA, EMA, RSI, ROC |
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| `Candle` | OHLCV bar — `{open, high, low, close, volume, timestamp}` | ATR, Bollinger, Ichimoku, all candlestick patterns |
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| `(f64, f64)` | Two-series indicators — `(asset, benchmark)` or `(x, y)` | PearsonCorrelation, Beta, Alpha, TreynorRatio |
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The `Candle` type lives in `wickra-core::ohlcv` and is the binding
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contract across bindings — Python's `Candle` namedtuple, Node's
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`Candle` object, and WASM's `Candle` JS class all map 1:1.
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## Output types
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Most indicators emit `f64`. Multi-output indicators emit a dedicated
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struct in the same module, named `FooOutput`:
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```rust
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pub struct BollingerOutput {
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pub upper: f64,
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pub middle: f64,
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pub lower: f64,
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}
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```
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Bindings flatten these into matrix outputs (NumPy 2-D array for Python,
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typed object arrays for Node/WASM).
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## Numerical-stability notes
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A handful of indicators need care beyond naive accumulation:
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- **Rolling variance is running-sum, not Welford.** The sliding-window
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variance family — `StdDev`, `Variance`, `ZScore`, `Bollinger` — keeps
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running `Σx` and `Σx²` over the window and reports `var = Σx²/n − mean²`,
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clamping to zero the tiny negative values floating-point cancellation can
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produce. `Bollinger` periodically reseeds its `Σx²` from the live window
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so error cannot accumulate over a long stream. Welford's online algorithm
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(an incremental `M2` accumulator) does **not** transfer cleanly to a
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sliding window — removing the oldest point from `M2` is numerically
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unstable — so it is used only where the statistic is *not* a fixed
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window: `IntradayVolatilityProfile` and `SeasonalZScore` accumulate
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per-bucket variance that way.
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- **Logarithm bases** matter for some indicators (Hurst, MFI). Wickra
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uses natural log everywhere unless the reference math explicitly
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requires `log10` or `log2` — and then it documents the choice in the
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rustdoc.
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- **NaN / infinity guards.** Every indicator's `update` rejects
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non-finite input early (returns `None` without state mutation). Tests
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cover this with `ignores_non_finite_input`.
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## Cross-crate flow
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A typical full-stack call sequence for a Python live-trading example:
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```
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[ Python: live_binance.py ]
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│
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▼
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[ binance.AsyncClient WebSocket ] ──── wickra_data live feed ───┐
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│
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┌──────────────────┘
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▼
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[ Candle struct conversion ]
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│
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▼
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[ PyRsi.update(close) ]
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│
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wraps │
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▼
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[ wickra_core::Rsi::update(f64) ] <-- the only place math runs
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│
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▼
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[ Option<f64> -> Py<PyFloat> ]
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│
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▼
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[ Python user code ]
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```
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The same call sequence happens identically for Node (via NAPI),
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WASM (via wasm-bindgen → JS), and Rust (no FFI overhead, just direct
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calls).
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## What lives where — the navigation cheat sheet
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| You want to … | Look in |
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|---|---|
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| add a new indicator | `crates/wickra-core/src/indicators/<name>.rs` + add to `mod.rs` + add to `FAMILIES` + re-export in `lib.rs` |
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| change the `Indicator` trait surface | `crates/wickra-core/src/traits.rs` — this affects every indicator, treat as breaking |
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| add a new Candle field | `crates/wickra-core/src/ohlcv.rs` — also propagates to every binding's `Candle` mapping |
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| add a new exchange / data source | `crates/wickra-data/src/live/<exchange>.rs`, feature-gated under `live-<exchange>` |
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| expose a new binding | new crate under `bindings/` + macro-driven boilerplate in `bindings/<lang>/src/lib.rs` |
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| change benchmark coverage | `crates/wickra/benches/indicators.rs` |
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| add a new fuzz target | `fuzz/fuzz_targets/<name>.rs` + register in `fuzz/Cargo.toml` |
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| change CI matrix | `.github/workflows/ci.yml` |
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| change release pipeline | `.github/workflows/release.yml` (irreversible on `v*` tag — test on a throwaway tag first) |
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## What is **deliberately** not in this repo
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- **Backtest framework.** Wickra is an indicator library, not a backtester.
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Strategy + PnL + fills logic is for the user (see `examples/` for
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illustrative scripts).
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- **Multi-exchange aggregation.** Binance is the demo feed; full
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exchange-agnostic aggregation is `ccxt`'s job. Wickra's
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`wickra-data::live` is intentionally minimal.
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- **Order-book / L2 data.** Wickra works on OHLCV bars and ticks, not
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full depth. Tick-data variants (cumulative delta, single print) are on
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the roadmap but require new input types.
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- **Charting / visualization.** Out of scope for the Rust core. The
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WASM examples include a `lightweight-charts` integration as a
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starting point, but no charting code lives in the published packages.
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- **GPU / SIMD optimisation.** Indicators are O(1) per update — the
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bottleneck is not vector throughput. SIMD would only help large-batch
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workloads, which already saturate memory bandwidth via the cache-
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friendly `VecDeque` window.
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## Performance characteristics
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Every indicator is amortised O(1) per `update`. The constant factor
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varies:
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| Class | Indicators | Per-`update` cost (approx) |
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|---|---|---|
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| Simple rolling | SMA, EMA, WMA, Mom | 1-2 floating-point ops |
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| Recursive smoothers | KAMA, FRAMA, VIDYA, JMA | 5-15 ops |
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| Window-sort | OmegaRatio, percentile-based VaR | O(period · log period) per update |
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| Multi-buffer DSP | MAMA, HilbertDominantCycle, EmpiricalModeDecomposition | 30-80 ops |
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| Multi-component | MacdIndicator, TtmSqueeze, Alligator | sum of components |
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Benchmarks against real BTCUSDT 1-minute data live in
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`crates/wickra/benches/indicators.rs`. Cross-library comparison vs
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TA-Lib / pandas-ta / talipp / finta lives in
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`bindings/python/benchmarks/compare_libraries.py`.
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## Stability commitments
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- **MSRV.** Workspace: Rust 1.86. Node binding: 1.88 (NAPI-RS pins it).
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- **`Indicator` trait surface.** Breaking changes here are major-version
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events. Adding a new method with a default impl is minor.
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- **Indicator removal.** Once an indicator ships in a release, it stays
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callable. Renames go through a deprecation period of at least one
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minor version.
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- **Output structs.** Adding a field to a `FooOutput` is non-breaking
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because the binding contracts go through serde and accept extra keys.
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## Open questions / known sharp edges
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These are documented for contributors so you don't waste time
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re-discovering them.
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- **`Rvi`** (Relative Vigor Index) and `RviVolatility` (Relative
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Volatility Index) are different indicators with the same short
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acronym — make sure you import the right one.
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- **Fuzz coverage of pair indicators** uses `indicator_update_pair.rs`,
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which is small because pair indicators are simpler — but coverage
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should grow as more pair indicators land.
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- **`FAMILIES` (from PR #60) is hand-maintained.** Adding a new
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indicator requires a separate entry in `FAMILIES`. The
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`total_count_matches_expected` test will fail if you forget.
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- **WASM is covered by `wasm-bindgen-test`.** `bindings/wasm/src/lib.rs`
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carries 21 in-crate tests (run under `wasm-pack test` in CI), in
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addition to the manual browser examples.
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For the high-level project goals see [`ROADMAP.md`](ROADMAP.md); for
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day-to-day contribution mechanics see [`CONTRIBUTING.md`](CONTRIBUTING.md).
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