SuperTrend Toolkit

Güncellendi
The SuperTrend Toolkit (Super Kit) introduces a versatile approach to trend analysis by extending the application of the SuperTrend indicator to a wide array of @TradingView's built-in or Community Scripts. This tool facilitates the integration of the SuperTrend algorithm with various indicators, including oscillators, moving averages, overlays, and channels.

Methodology:
The SuperTrend, at its core, calculates a trend-following indicator based on the Average-True-Range (ATR) and price action. It creates dynamic support and resistance levels, adjusting to changing market conditions, and aiding in trend identification.
```pine_st(simple float factor = 3., simple int length = 10) =>
float atr = ta.atr(length)
float up  = hl2 + factor * atr
up       := up < nz(up[1]) or close[1] > nz(up[1]) ? up : nz(up[1])
float lo  = hl2 - factor * atr
lo       := lo > nz(lo[1]) or close[1] < nz(lo[1]) ? lo : nz(lo[1])

int   dir = na
float st  = na

if na(atr[1])
dir := 1
else if st[1] == nz(up[1])
dir := close > up ? -1 : 1
else
dir := close < lo ? 1 : -1

st := dir == -1 ? lo : up

[st, dir]```

@TradingView's native SuperTrend lacks the flexibility to incorporate different price sources into its calculation.
Community scripts, addressed the limitation by implementing the option to input different price sources, for example, one of the most popular publications, @KivancOzbilgic's SuperTrend script.

In May 2023, @TradingView introduced an update allowing the passing of another indicator's plot as a source value via the input.source() function. However, the built-in ta.atr function still relied on the chart's price data, limiting the formerly mentioned scripts to the chart's price data alone.

Unique Approach -
This script addresses the aforementioned limitations by processing the data differently.
Firstly we create a User-Defined-Type (UDT) replicating a bar's open, high, low, close (OHLC) values.
```type bar
float o = open
float h = high
float l = low
float c = close```

We then use this type to store the external input data.
```src = input.source(close, "External Source")

bar b = bar.new(
nz(src[1])               ,   open  𝘷𝘢𝘭𝘶𝘦
math.max(nz(src[1]), src),   high  𝘷𝘢𝘭𝘶𝘦
math.min(nz(src[1]), src),   low   𝘷𝘢𝘭𝘶𝘦
src                      )   close 𝘷𝘢𝘭𝘶𝘦```

Finally, we pass the data into our custom built SuperTrend with ATR functions to derive the external source's version of the SuperTrend indicator.
`supertrend st = b.st(mlt, len)`

- Setup Guide -

Utility and Use Cases:
1. Universal Compatibility - Apply SuperTrend to any built-in indicator or script, expanding its use beyond traditional price data.
- A simple example on one of my own public scripts -

2. Trend Analysis - Gain additional trend insights into otherwise mainly mean reverting or volume indicators.

The Super Kit empowers traders and analysts with a tool that adapts the robust SuperTrend algorithm to a myriad of indicators, allowing comprehensive trend analysis and strategy development.
Sürüm Notları:
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Small fix
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