AlphaPy
Tulip Indicators
| AlphaPy | Tulip Indicators | |
|---|---|---|
| 25 | 4 | |
| 1,052 | 802 | |
| 1.0% | 0.7% | |
| 6.7 | 5.2 | |
| 3 months ago | 3 months ago | |
| Python | C | |
| Apache License 2.0 | 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.
AlphaPy
Tulip Indicators
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Technical Analysis libraries
TA-lib and pandas-ta have already been mentioned, so just for the sake of alternatives, Tulip indicators
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IBKR API doesn't provide technical indicators, is there any alternative?
Broker APIs usually don't provide those. You'll want to generate them using a library. The most popular are TA Library (linked by another commenter), TuliPy, and TA-Lib. All easy to use.
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Here’s the gist of my algorithm. I want to go big with my algorithm and I need some help from you.
I use Tulip Indicators and my codes run on NodeJS and I maintain data on MariaDB. I can of course transform them to any other programming language, if given a chance.
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C Deep
Tulip Indicators - Library of functions for technical analysis of financial data. LGPL-3.0-or-later
What are some alternatives?
lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Tulip Cell - TulipCell is an Excel add-in providing 100+ technical analysis indicators.
guesslang - Detect the programming language of a source code
btsk - Behavior Tree Starter Kit
Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
sup-res - A great companion for finding key support and resistance levels on financial charts, cryptocurrencies.
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.