Stock-indicators

Updated indicators:

- added Width to Bollinger Bands result value
- added ATR Percentage (ATRP) result value

Chores:

- refactor and update unit tests

The fifth release of **Stock Indicators for Python**, a Python wrapper of the Stock Indicators for .NET library.

> Please treat all versions before 1.0.0 as previews. **Expect breaking changes as we get more [community feedback](https://github.com/DaveSkender/Stock.Indicators.Python/issues) and fine-tune everything.** We will enumerate breaking changes in these release notes.

Our priorities going forward are to:

1. add the other 60+ indicators from [Stock Indicators for .NET](https://daveskender.github.io/Stock.Indicators/).
2. work on performance tuning to improve library speed

The below is the indicators newly added in this release:
- On-balance Volume (OBV)
- Price Momentum Oscillator (PMO)
- Price Relative Strength (PRS)
- Stochastic Momentum Index (SMI)
- Smoothed Moving Average (SMMA)
- Schaff Trend Cycle (STC)
- Rolling Standard Deviation
- Tillson T3
- True Strength Index (TSI)
- Ulcer Index (UI)

<details>
<summary>See all indicators</summary>

- Accumulation/Distribution Line (ADL)
- Average Directional Index (ADX)
- Williams Alligator
- Arnaud Legoux Moving Average (ALMA)
- Aroon
- Average True Range (ATR)
- Awesome Oscillator
- Beta Coefficient
- Bollinger Bands®
- Balance of Power (BOP)
- Commodity Channel Index (CCI)
- Chaikin Oscillator
- Chandelier Exit
- Choppiness Index (CHOP)
- Chaikin Money Flow (CMF)
- Connors RSI
- Correlation Coefficient
- Donchian Channels
- Double Exponential Moving Average (DEMA)
- Detrended Price Oscillator (DPO)
- Elder-ray Index
- Exponential Moving Average (EMA)
- Endpoint Moving Average (EPMA)
- Fractal Chaos Bands (FCB)
- Ehlers Fisher Transform
- Force Index
- Williams Fractal
- Heikin-Ashi
- Hull Moving Average (HMA)
- Hilbert Transform Instantaneous Trendline (HTL)
- Hurst Exponent
- Ichimoku Cloud
- Kaufman’s Adaptive Moving Average (KAMA)
- Keltner Channels
- Klinger Volume Oscillator (KVO)
- KDJ Index
- Moving Average Convergence/Divergence (MACD)
- MESA Adaptive Moving Average (MAMA)
- Money Flow Index (MFI)
- Parabolic SAR (stop and reverse)
- Rate of Change (ROC)
- Relative Strength Index (RSI)
- Slope
- Simple Moving Average (SMA)
- Stoller Average Range Channel (STARC) Bands
- Standard Deviation Channels
- Stochastic Oscillator
- Stochastic RSI
- Super Trend
- Triple Exponential Moving Average (TEMA)
- Triple EMA Oscillator (TRIX)

</details>

----

For more information, see the:

- [documentation site](https://daveskender.github.io/Stock.Indicators.Python/)
- [PyPI project page](https://pypi.org/project/stock-indicators/)

**Full Changelog**: https://github.com/DaveSkender/Stock.Indicators.Python/compare/0.4.0+17...0.5.0+16

Updated indicators:

- added Z-Score to both Bollinger Band and Standard Deviation results

Buggy fixes:

- improved `IsIncreasing` results for RSI, Stochastic RSI, Stochastic, and Heikin-Ashi to better handle the "no change" edge case. The prior `IsIncreasing` value will now persist when there is no change and will only change when there is an actual reversal. In other words, no change does not count as a reversal anymore.

Chores:

- updated documentation, added some badges, etc.
- refactored some exceptions in modified indicators

Bug fixes:

- for Stochastic, RSI, and Stochastic RSI the `IsIncreasing` result value returned true when there was no change (e.g. should have been `current > last` instead of `current >= last`

Chores:

- update documentation
- add Jekyll GitHub Pages site -> [https://daveskender.github.io/Stock.Indicators](https://daveskender.github.io/Stock.Indicators)
- update packages

New indicators:
- Chandelier Exit overlay

The fourth release of **Stock Indicators for Python**, a Python wrapper of the Stock Indicators for .NET library.

> Please treat all versions before 1.0.0 as previews. **Expect breaking changes as we get more [community feedback](https://github.com/DaveSkender/Stock.Indicators.Python/issues) and fine-tune everything.** We will enumerate breaking changes in these release notes.

Our priorities going forward are to:

1. add the other 60+ indicators from [Stock Indicators for .NET](https://daveskender.github.io/Stock.Indicators/).
2. work on performance tuning to improve library speed

The below is the indicators newly added in this release:
- Ehlers Fisher Transform
- Force Index
- Hull Moving Average (HMA)
- Hilbert Transform Instantaneous Trendline (HTL)
- Kaufman’s Adaptive Moving Average (KAMA)
- Hurst Exponent
- Keltner Channels
- Klinger Volume Oscillator (KVO)
- MESA Adaptive Moving Average (MAMA)
- Money Flow Index (MFI)
- Stoller Average Range Channel (STARC) Bands

<details>
<summary>See all indicators</summary>

- Accumulation/Distribution Line (ADL)
- Average Directional Index (ADX)
- Williams Alligator
- Arnaud Legoux Moving Average (ALMA)
- Aroon
- Average True Range (ATR)
- Awesome Oscillator
- Beta Coefficient
- Bollinger Bands®
- Balance of Power (BOP)
- Commodity Channel Index (CCI)
- Chaikin Oscillator
- Chandelier Exit
- Choppiness Index (CHOP)
- Chaikin Money Flow (CMF)
- Connors RSI
- Correlation Coefficient
- Donchian Channels
- Double Exponential Moving Average (DEMA)
- Detrended Price Oscillator (DPO)
- Elder-ray Index
- Exponential Moving Average (EMA)
- Endpoint Moving Average (EPMA)
- Fractal Chaos Bands (FCB)
- Williams Fractal
- Heikin-Ashi
- Ichimoku Cloud
- KDJ Index
- Moving Average Convergence/Divergence (MACD)
- Parabolic SAR (stop and reverse)
- Rate of Change (ROC)
- Relative Strength Index (RSI)
- Slope
- Simple Moving Average (SMA)
- Standard Deviation Channels
- Stochastic Oscillator
- Stochastic RSI
- Super Trend
- Triple Exponential Moving Average (TEMA)
- Triple EMA Oscillator (TRIX)

</details>

----

For more information, see the:

- [documentation site](https://daveskender.github.io/Stock.Indicators.Python/)
- [PyPI project page](https://pypi.org/project/stock-indicators/)

**Full Changelog**: https://github.com/DaveSkender/Stock.Indicators.Python/compare/0.3.0...0.4.0+17