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| documentation | finta | |
|---|---|---|
| 1 | 5 | |
| 2 | 1,728 | |
| - | - | |
| 6.2 | 2.7 | |
| 12 days ago | almost 2 years ago | |
| Stylus | Python | |
| MIT License | GNU Lesser General Public License v3.0 only |
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documentation
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Documentation for Quantiacs
Users can contribute sending suggestions at https://github.com/quantiacs/documentation/tree/master/en
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
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
quantstats - Portfolio analytics for quants, written in Python
ib_insync - Python sync/async framework for Interactive Brokers API
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
fast-trade - low code backtesting library utilizing pandas and technical analysis indicators
ta - Technical Analysis Library using Pandas and Numpy
trading-ig - A lightweight Python wrapper for the IG Markets API
backtrader - Python Backtesting library for trading strategies