Tulip Cell
Tulip Indicators
| Tulip Cell | Tulip Indicators | |
|---|---|---|
| - | 4 | |
| 32 | 802 | |
| - | 0.7% | |
| 0.0 | 5.2 | |
| almost 7 years ago | 3 months ago | |
| Tcl | C | |
| GNU Lesser General Public License v3.0 only | 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.
Tulip Cell
We haven't tracked posts mentioning Tulip Cell yet.
Tracking mentions began in Dec 2020.
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?
Native System Automation - Native cross-platform system automation
btsk - Behavior Tree Starter Kit
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
tensorflow - An Open Source Machine Learning Framework for Everyone
ANNetGPGPU - A GPU (CUDA) based Artificial Neural Network library
tiny-cnn - header only, dependency-free deep learning framework in C++14
AI-Toolbox - A C++ framework for MDPs and POMDPs with Python bindings
Veles - Distributed machine learning platform
frugally-deep - Header-only library for using Keras (TensorFlow) models in C++.
BayesOpt - BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.