volatile
finta
| volatile | finta | |
|---|---|---|
| 1 | 5 | |
| 64 | 1,728 | |
| - | - | |
| 2.4 | 2.7 | |
| 5 months ago | almost 2 years ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU Lesser 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.
volatile
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Is algorithmic trading all about High Frequency Trading?
You may want to look at the free software I've been building for day trading: https://github.com/gianlucadetommaso/volatile
finta
- looking for a python lib
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How It's Made! // Building A Crypto Trading Bot Network - A Tutorial (Part 1) // Whew, this was a tough one guys. It took 10x longer to put this together than I imagined. This is an in-depth review of my Bots and their parent system. Please let me know what you think and if I should continue.
Have you thought about using the FinTA package for trading signals and also ratelimit to help with some of those weird things that can pop up with dealing with external APIs
- Yesterday I came across Awesome-Quant repository and it was great. I went ahead and dig through all the backtesting & AI repos from Python and created a list of repo which are most updated & maintained. Let me know if I missed your favorite.
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Important python libraries?
I'm also going to shamelessly plug fast-trade, which is a backtesting library where you write strategies as objects instead of actual code. It's also built on a couple of pretty wonderful libraries including pandas and FinTa, which has a lot of indicators and it's really simple to use.
- Why use ta_lib when you can use FinTA?
What are some alternatives?
mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
quantstats - Portfolio analytics for quants, written in Python
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
fast-trade - low code backtesting library utilizing pandas and technical analysis indicators
trading-ig - A lightweight Python wrapper for the IG Markets API
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/
tidyquant - Bringing financial analysis to the tidyverse
alpha_vantage - A python wrapper for Alpha Vantage API for financial data.
surpriver - Find big moving stocks before they move using machine learning and anomaly detection
example-scalping - A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio