Contribution activity and bus factor of sdcoffey/techan

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Active 🚀

Active contributions

Why sdcoffey/techan is active?

The result is based on ratio of number of commits and code additions from initial and final time ranges.

Initial time range – from 14 Aug, 2023 to 14 Nov, 2023

Final time range – from 15 May, 2024 to 14 Aug, 2024

Additions and deletions stats are not available for this repository due to GitHub API limitations.

Data calculated on 14 Aug, 2024

Bus factor of sdcoffey/techan

What is Bus factor?

It is basically a number of most active contributors responsible for 80% of contributions.

Bus factor tries to assess "What happens if a key member of the team is hit by a bus?". The more there are key members, the lower the risk.

The sdcoffey/techan repository has a bus factor of 1.

High risk, a lot of knowledge concentrated in a few people

Bus factor was measured on 14 Aug 2024

Repository summary

The GitHub repository sdcoffey/techan is a technical analysis library for the Go language. The name "techan" is a play on the term "tech and finance", which reflects the purpose of the library. It provides comprehensive tools for technical analysis of financial markets.

It includes indicators such as:

Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Moving Average Convergence Divergence (MACD)
Relative Strength Index (RSI)
Bollinger Bands

Moreover, it provides utilities for managing and analyzing time series data. Its features include:

Market indicators
Signal detection
Candlestick pattern detection
Utility methods for managing and manipulating time series

Here is how you can use it:

package main

import (
\t\"fmt\"
\t\"github.com/markcheno/go-quote\"
\t\"github.com/sdcoffey/techan\"
)

func main() {
\tquotes, _ := quote.NewQuoteFromYahoo(
\t\t\"aapl\", 
\t\t\"2016-01-01\", 
\t\t\"2016-04-01\", 
\t\tquote.Daily, 
\t\ttrue)
\tclosePrices := techan.NewTimeSeries()

\tfor _, q := range quotes {
\t\tclosePrices.AddCandle(techan.NewCandle(q.Date, q.Open, q.High, q.Low, q.Close, q.Volume))
\t}

\tlogReturns := techan.LogReturnTransform(closePrices)

\tfmt.Println(logReturns)
}

This library is created and maintained by Steve Coffey. As of writing, the repository has over 150 stars and 22 forks. Note, however, that the library doesn't seem to provide any guarantee of maintenance or reliability.

The documentation for the library is quite comprehensive and the code examples are easy to understand, making it a viable option for anyone interested in financial market analysis using Go.