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Refactor documentation for various filters and indicators to enhance clarity and consistency

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- Updated Bessel, Bilateral, Blma, Butter, Conv, Ema, Kama, LSMA, MAMA, MGDI, SSF, USF, ATR, ADL, and ADOSC documentation to use bullet points for key concepts and features.
- Added a new Qodana configuration file for code analysis.
- Removed coverage configuration from Quantower.Tests.csproj to streamline testing setup.
This commit is contained in:
Miha Kralj
2025-12-31 23:39:47 -08:00
parent 11f4ec2497
commit d493bfd42f
175 changed files with 11977 additions and 897 deletions
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lib/statistics/cma/Cma.md
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@@ -50,10 +50,10 @@ $$ M_n = M_{n-1} + \frac{x_n - M_{n-1}}{n} $$
Where:
- $M_n$ = cumulative mean after $n$ values
- $M_{n-1}$ = previous cumulative mean
- $x_n$ = new value
- $n$ = total count of values
* $M_n$ = cumulative mean after $n$ values
* $M_{n-1}$ = previous cumulative mean
* $x_n$ = new value
* $n$ = total count of values
### 2. Algebraic Equivalence
@@ -94,4 +94,4 @@ CMA is a fundamental statistical operation rather than a standard TA library ind
1. **Responsiveness**: CMA becomes nearly unresponsive after many values. For a reactive average, use SMA or EMA instead.
2. **Memory of Bad Data**: A single extreme outlier early in the stream permanently affects the average. Consider filtering before feeding CMA.
3. **No Period Parameter**: Unlike SMA/EMA, CMA has no period. It always includes all data. This is by design.
4. **Session Resets**: If you need per-session averages, call `Reset()` at session boundaries.
4. **Session Resets**: If you need per-session averages, call `Reset()` at session boundaries.