2026-05-22 17:53:46 +02:00
|
|
|
|
# CMO
|
|
|
|
|
|
|
|
|
|
|
|
> Chande Momentum Oscillator — a bounded `[−100, 100]` momentum gauge from
|
|
|
|
|
|
> the unsmoothed sum of gains versus losses.
|
|
|
|
|
|
|
|
|
|
|
|
## Quick reference
|
|
|
|
|
|
|
|
|
|
|
|
| Field | Value |
|
|
|
|
|
|
|-------|-------|
|
2026-05-22 21:21:56 +02:00
|
|
|
|
| Family | Momentum Oscillators |
|
2026-05-22 17:53:46 +02:00
|
|
|
|
| Input type | `f64` (single close) |
|
|
|
|
|
|
| Output type | `f64` |
|
|
|
|
|
|
| Output range | `[−100, 100]` |
|
|
|
|
|
|
| Default parameters | `period = 14` (Python) |
|
|
|
|
|
|
| Warmup period | `period + 1` |
|
|
|
|
|
|
| Interpretation | `+100` pure gains, `−100` pure losses, `0` balanced. |
|
|
|
|
|
|
|
|
|
|
|
|
## Formula
|
|
|
|
|
|
|
|
|
|
|
|
Over the last `period` price *changes*, sum the gains and the losses
|
|
|
|
|
|
separately:
|
|
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
gain_t = max(price_t − price_{t−1}, 0)
|
|
|
|
|
|
loss_t = max(price_{t−1} − price_t, 0)
|
|
|
|
|
|
CMO = 100 · (Σ gain − Σ loss) / (Σ gain + Σ loss)
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
Unlike RSI — which Wilder-smooths the gain/loss averages — CMO sums them
|
|
|
|
|
|
raw, with equal weight on every change in the window. That makes it
|
|
|
|
|
|
faster and wider-swinging than RSI at the same period.
|
|
|
|
|
|
|
|
|
|
|
|
## Parameters
|
|
|
|
|
|
|
|
|
|
|
|
| Name | Type | Default | Valid range | Description |
|
|
|
|
|
|
|----------|---------|---------------|-------------|-------------|
|
|
|
|
|
|
| `period` | `usize` | `14` (Python) | `>= 1` | Number of price changes summed. `period = 0` errors with `Error::PeriodZero`. |
|
|
|
|
|
|
|
|
|
|
|
|
The Python binding defaults `period` to `14` via `#[pyo3(signature = (period=14))]`.
|
|
|
|
|
|
|
|
|
|
|
|
## Inputs / Outputs
|
|
|
|
|
|
|
|
|
|
|
|
From `crates/wickra-core/src/indicators/cmo.rs`:
|
|
|
|
|
|
|
|
|
|
|
|
```rust
|
|
|
|
|
|
impl Indicator for Cmo {
|
|
|
|
|
|
type Input = f64;
|
|
|
|
|
|
type Output = f64;
|
|
|
|
|
|
// update(&mut self, input: f64) -> Option<f64>
|
|
|
|
|
|
}
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
A single `f64` close in, an `Option<f64>` out. Python maps this to
|
|
|
|
|
|
`float | None` / `numpy.ndarray` (NaN warmup); Node to `number | null` /
|
|
|
|
|
|
`Array<number>` (NaN warmup).
|
|
|
|
|
|
|
|
|
|
|
|
## Warmup
|
|
|
|
|
|
|
|
|
|
|
|
`Cmo::new(period).warmup_period() == period + 1`. The first price change
|
|
|
|
|
|
needs two inputs, and the gain/loss window must hold `period` changes, so
|
|
|
|
|
|
the first non-`None` output lands on input `period + 1`.
|
|
|
|
|
|
|
|
|
|
|
|
## Edge cases
|
|
|
|
|
|
|
|
|
|
|
|
- **Pure trend.** A window of only gains returns `+100`; only losses,
|
|
|
|
|
|
`−100` (`pure_uptrend_saturates_at_plus_100` /
|
|
|
|
|
|
`pure_downtrend_saturates_at_minus_100` pin this).
|
|
|
|
|
|
- **Constant series.** A flat series has no gains and no losses; the
|
|
|
|
|
|
`0 / 0` is guarded and the output is `0.0`
|
|
|
|
|
|
(`constant_series_yields_zero` pins this).
|
|
|
|
|
|
- **NaN / infinity inputs.** Non-finite inputs are silently dropped; state
|
|
|
|
|
|
is left untouched.
|
|
|
|
|
|
- **Reset.** `cmo.reset()` clears the previous price, the gain/loss window
|
|
|
|
|
|
and both running sums.
|
|
|
|
|
|
|
|
|
|
|
|
## Examples
|
|
|
|
|
|
|
|
|
|
|
|
### Rust
|
|
|
|
|
|
|
|
|
|
|
|
```rust
|
|
|
|
|
|
use wickra::{BatchExt, Indicator, Cmo};
|
|
|
|
|
|
|
|
|
|
|
|
fn main() -> Result<(), Box<dyn std::error::Error>> {
|
|
|
|
|
|
let mut cmo = Cmo::new(3)?;
|
|
|
|
|
|
let out: Vec<Option<f64>> = cmo.batch(&[10.0, 11.0, 10.0, 12.0]);
|
|
|
|
|
|
println!("{:?}", out);
|
|
|
|
|
|
Ok(())
|
|
|
|
|
|
}
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
Output:
|
|
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
[None, None, None, Some(50.0)]
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
The three changes are `+1, −1, +2`: `Σ gain = 3`, `Σ loss = 1`, so
|
|
|
|
|
|
`CMO = 100·(3 − 1)/(3 + 1) = 50`. This matches the `reference_value` test
|
|
|
|
|
|
in `crates/wickra-core/src/indicators/cmo.rs`.
|
|
|
|
|
|
|
|
|
|
|
|
### Python
|
|
|
|
|
|
|
|
|
|
|
|
```python
|
|
|
|
|
|
import numpy as np
|
|
|
|
|
|
import wickra as ta
|
|
|
|
|
|
|
|
|
|
|
|
cmo = ta.CMO(3)
|
|
|
|
|
|
print(cmo.batch(np.array([10.0, 11.0, 10.0, 12.0])))
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
Output:
|
|
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
[nan nan nan 50.]
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
### Node
|
|
|
|
|
|
|
|
|
|
|
|
```javascript
|
|
|
|
|
|
const ta = require('wickra');
|
|
|
|
|
|
const cmo = new ta.CMO(3);
|
|
|
|
|
|
console.log(cmo.batch([10, 11, 10, 12]));
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
Output:
|
|
|
|
|
|
|
|
|
|
|
|
```
|
|
|
|
|
|
[ NaN, NaN, NaN, 50 ]
|
|
|
|
|
|
```
|
|
|
|
|
|
|
|
|
|
|
|
## Interpretation
|
|
|
|
|
|
|
|
|
|
|
|
`Cmo` is read like other bounded oscillators: readings near `+50` and
|
|
|
|
|
|
above flag overbought conditions, near `−50` and below oversold, and the
|
|
|
|
|
|
zero line marks the gain/loss balance point. Because it is unsmoothed it
|
|
|
|
|
|
reacts a bar or two sooner than RSI but is noisier — pair it with a slower
|
|
|
|
|
|
filter, or use it for divergence rather than raw threshold triggers.
|
|
|
|
|
|
|
|
|
|
|
|
## Common pitfalls
|
|
|
|
|
|
|
|
|
|
|
|
- **Expecting the `[0, 100]` RSI scale.** `Cmo` is centred on zero and
|
|
|
|
|
|
spans `[−100, 100]`; an RSI of `30` corresponds to a `Cmo` near `−40`.
|
|
|
|
|
|
- **Treating it as a smoothed average.** `Cmo` sums raw changes — it is
|
|
|
|
|
|
deliberately not Wilder-smoothed.
|
|
|
|
|
|
|
|
|
|
|
|
## References
|
|
|
|
|
|
|
|
|
|
|
|
Tushar Chande, *The New Technical Trader* (1994). The unsmoothed
|
|
|
|
|
|
gain/loss sum here matches the original definition and TA-Lib's `CMO`.
|
|
|
|
|
|
|
|
|
|
|
|
## See also
|
|
|
|
|
|
|
2026-05-22 21:21:56 +02:00
|
|
|
|
- [Indicator-Rsi.md](../momentum-oscillators/Indicator-Rsi.md) — the Wilder-smoothed relative.
|
|
|
|
|
|
- [Indicator-Mom.md](../momentum-oscillators/Indicator-Mom.md) — raw price-difference momentum.
|
2026-05-22 17:53:46 +02:00
|
|
|
|
- [Indicators-Overview.md](../../Indicators-Overview.md) — the full taxonomy.
|