- Rust core: typical_price.rs ((H+L+C)/3), median_price.rs ((H+L)/2), weighted_close.rs ((H+L+2C)/4) — stateless per-bar OHLC transforms — and linreg.rs (LinearRegression — endpoint of a rolling ordinary-least-squares fit) and linreg_slope.rs (LinRegSlope — slope of that fit). Each with a full Indicator impl, runnable doctest and reference / property / warmup / reset / batch==streaming tests. - Python: PyTypicalPrice / PyMedianPrice / PyWeightedClose / PyLinearRegression / PyLinRegSlope PyO3 classes + module registration + .pyi stubs. - Node: explicit TypicalPriceNode / MedianPriceNode / WeightedCloseNode / LinearRegressionNode / LinRegSlopeNode; index.d.ts and index.js updated. - WASM: explicit WasmTypicalPrice / WasmMedianPrice / WasmWeightedClose; WasmLinearRegression / WasmLinRegSlope via the scalar macro. - Wiki: a new indicators/statistics/ folder with five Indicator-*.md pages, a new "Statistics" family in Indicators-Overview.md and Home.md. cargo fmt + clippy (core/wickra/data/wasm/node) clean; 454 core tests, 25 data tests and 66 doctests green.
137 lines
3.2 KiB
Markdown
137 lines
3.2 KiB
Markdown
# MedianPrice
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> Median Price — the bar's `(high + low) / 2`, the midpoint of its range.
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## Quick reference
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| Field | Value |
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|-------|-------|
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| Family | Statistics |
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| Sub-category | Price transforms |
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| Input type | `Candle` (uses `high`, `low`) |
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| Output type | `f64` |
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| Output range | unbounded (price scale) |
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| Default parameters | none (no parameters) |
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| Warmup period | `1` |
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| Interpretation | The midpoint of the bar's range, ignoring open and close. |
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## Formula
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```
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MedianPrice = (high + low) / 2
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```
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The median price is the centre of the bar's range — it discards where the bar
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opened and closed entirely. It is the price series Bill Williams'
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[`AwesomeOscillator`](../momentum/Indicator-AwesomeOscillator.md) is built on,
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and a useful close substitute when the close is noisy relative to the range.
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## Parameters
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`MedianPrice` takes **no parameters** — `MedianPrice::new()` in Rust,
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`wickra.MedianPrice()` in Python, `new ta.MedianPrice()` in Node.
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## Inputs / Outputs
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From `crates/wickra-core/src/indicators/median_price.rs`:
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```rust
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impl Indicator for MedianPrice {
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type Input = Candle;
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type Output = f64;
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// update(&mut self, input: Candle) -> Option<f64>
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}
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```
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`MedianPrice` is a **candle-input** indicator that reads `high` and `low`. In
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Python the streaming `update` accepts a 6-tuple or a dict; the batch helper
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takes `high`, `low` numpy arrays. Node and WASM expose `update(high, low)` and
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the matching `batch`.
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## Warmup
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`MedianPrice::new().warmup_period() == 1`. It is a stateless per-bar transform
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— it emits a value from the very first candle.
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## Edge cases
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- **No warmup.** Every candle produces a value immediately.
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- **Reset.** `mp.reset()` only clears the `is_ready` flag; there is no
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rolling state to discard.
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## Examples
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### Rust
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```rust
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use wickra::{Candle, Indicator, MedianPrice};
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fn main() -> Result<(), Box<dyn std::error::Error>> {
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let mut mp = MedianPrice::new();
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let v = mp.update(Candle::new(10.0, 12.0, 8.0, 11.0, 1.0, 0)?);
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println!("{:?}", v);
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Ok(())
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}
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```
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Output:
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```
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Some(10.0)
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```
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`(12 + 8) / 2 = 10`. This matches the `reference_value` test in
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`crates/wickra-core/src/indicators/median_price.rs`.
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### Python
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```python
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import numpy as np
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import wickra as ta
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mp = ta.MedianPrice()
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print(mp.batch(np.array([12.0]), np.array([8.0])))
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```
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Output:
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```
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[10.]
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```
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### Node
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```javascript
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const ta = require('wickra');
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const mp = new ta.MedianPrice();
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console.log(mp.batch([12], [8]));
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```
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Output:
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```
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[ 10 ]
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```
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## Interpretation
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The median price is the most range-centric of the three transforms — it is
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blind to the close. Use it when the question is "where did this bar trade?"
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rather than "where did it settle?", or as the input to a Bill Williams setup.
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## Common pitfalls
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- **Expecting the close to matter.** It does not — by definition the median
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price ignores both the open and the close.
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## References
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The Median Price; the `(H + L) / 2` definition is standard (TA-Lib's
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`MEDPRICE`).
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## See also
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- [Indicator-TypicalPrice.md](Indicator-TypicalPrice.md) — `(H + L + C) / 3`.
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- [Indicator-WeightedClose.md](Indicator-WeightedClose.md) — `(H + L + 2C) / 4`.
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- [Indicators-Overview.md](../../Indicators-Overview.md) — the full taxonomy.
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