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

- 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.

lib/channels/maenv/maenv.md

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+# Moving Average Envelope
+
+Moving Average Envelope consists of three lines: a moving average in the middle and two lines plotted at a fixed percentage above and below it. The envelope provides a simple way to identify potential support and resistance levels based on a percentage deviation from the average price.
+
+## Calculation
+
+```
+Middle = MA(Source, Length)
+Upper = Middle + (Middle × Percentage/100)
+Lower = Middle - (Middle × Percentage/100)
+```
+
+Where:
+* MA = Moving Average (can be SMA, EMA, or WMA)
+* Source = Price series (typically close price)
+* Length = Lookback period for moving average
+* Percentage = Fixed percentage for band width
+
+## Parameters
+
+* Source (default: close) - Price series used for the moving average
+* Length (default: 20) - Period used for moving average calculation
+* Percentage (default: 1.0) - Fixed percentage distance from MA to bands
+* MA Type (default: 1) - Moving average type: 0:SMA, 1:EMA, or 2:WMA
+
+## Interpretation
+
+* The middle line shows the average price trend
+* Upper and lower bands create a channel based on fixed percentage
+* Price reaching the bands may indicate overbought/oversold conditions
+* Unlike volatility-based bands, envelope width changes proportionally with price
+* Band penetration may signal potential trend reversals
+* Works best in trending markets with consistent volatility
+
+## Implementation
+
+The implementation includes:
+* Choice of three moving average types (SMA, EMA, WMA)
+* Optimized calculations for each MA type
+* Circular buffer for efficient SMA calculation
+* Alpha smoothing for EMA
+* Linear weighting for WMA
+* Proper handling of NA values
+* Input validation
+* Percentage-based band width calculation