strategy-ml-nn VS AlphaPy

Compare strategy-ml-nn vs AlphaPy and see what are their differences.

strategy-ml-nn

This example shows how to use neural networks for writing a trading system on stocks. (by quantiacs)
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strategy-ml-nn AlphaPy
1 25
0 1,041
- 2.3%
0.0 6.7
almost 2 years ago about 2 months ago
Jupyter Notebook Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

strategy-ml-nn

Posts with mentions or reviews of strategy-ml-nn. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning strategy-ml-nn yet.
Tracking mentions began in Dec 2020.

AlphaPy

Posts with mentions or reviews of AlphaPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

What are some alternatives?

When comparing strategy-ml-nn and AlphaPy you can also consider the following projects:

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

guesslang - Detect the programming language of a source code

sup-res - A great companion for finding key support and resistance levels on financial charts, cryptocurrencies.

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

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.

MLBox - MLBox is a powerful Automated Machine Learning python library.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning

automating-technical-analysis - Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.

AIPortfolio - Use AI to generate a optimized stock portfolio

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.

Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.