thesis-computational-artificial-market VS Deep-Learning-Machine-Learning-Stock

Compare thesis-computational-artificial-market vs Deep-Learning-Machine-Learning-Stock and see what are their differences.

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thesis-computational-artificial-market Deep-Learning-Machine-Learning-Stock
2 39
5 659
- -
0.0 8.8
about 1 year ago 20 days ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Posts with mentions or reviews of thesis-computational-artificial-market. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-02.
  • Simulating the limit order book
    2 projects | | 2 Jan 2021
    Not sure if helpful but I did my master's thesis about how to build a computational artificial market (in Julia which is rather an easy language to read) and published the source code:


Posts with mentions or reviews of Deep-Learning-Machine-Learning-Stock. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Deep-Learning-Machine-Learning-Stock yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing thesis-computational-artificial-market and Deep-Learning-Machine-Learning-Stock you can also consider the following projects:

tsfresh - Automatic extraction of relevant features from time series:

FinanceDataReader - Financial data reader

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

deltapy - DeltaPy - Tabular Data Augmentation (by @firmai)

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.


Algo-Trading - This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!