quantmod
TTR
Our great sponsors
quantmod | TTR | |
---|---|---|
3 | 1 | |
785 | 321 | |
- | - | |
7.6 | 6.9 | |
about 2 months ago | 3 months ago | |
R | R | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
quantmod
- Hi, I'm trying to learn a bit of quant, coming from econometrics. Are there any public repositories in R for quants?
-
Can’t import quantmod stock data when running R Shiny app from Docker container on Raspberry Pi
You might want to try opening an issue on the GitHub repo for the library in question.
- Spørgsmål: Historisk aktiedata
TTR
-
Wrong Adjusted Closing Price from Yahoo Finance?
Again, was just loose code for the idea and I couldn’t get the code to format in code blocks this morning, but for a more in depth look, I recommend Mr. Josh Ulrich’s script. Remember that C is indexing at 0 while my example showed 1 indexing with R.
What are some alternatives?
Econometrics-on-Stock-Data - R finance guide - Algotrading101
shiny-server-arm-docker - Dockerized shiny server for armv7, arm64 and x86
R-fixedincome - Fixed income tools for R
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
AutoTrader - A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
Stock.Indicators - Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
Valuation-Models - Valuing each of the Dow 30 companies, pricing the Dow based off the estimates.