thesis-computational-artificial-market
Artificial stock market (ASM) with Julia language. (by Miksus)
BristolStockExchange
BSE is a simple minimal simulation of a limit order book financial exchange (by davecliff)
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thesis-computational-artificial-market | BristolStockExchange | |
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2 | 2 | |
8 | 285 | |
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0.0 | 6.5 | |
over 2 years ago | 28 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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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.
thesis-computational-artificial-market
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.
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MSc Thesis (that a School of CS will acccept) Finance and Machine Learning ideas other than predicting stocks/portfolio selection
I wrote it with Julia. I made an initial prototype with Python but it got ugly and decided to try Julia which turned out to be fantastic. I published the code to Github if you want to see/use it yourself. You also find the link to the thesis there if you want to read it (forgive me the grammar errors and the incoherent language, I did not like writing the stuff).
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Simulating the limit order book
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: https://github.com/Miksus/thesis-computational-artificial-market
BristolStockExchange
Posts with mentions or reviews of BristolStockExchange.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-02.
- Anyone is using randomized data instead of historical data to make sure there's no overfitting and to be ready for unprecedented market conditions?
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Simulating the limit order book
A bit late to the party but this might be of interest to you: https://github.com/davecliff/BristolStockExchange
What are some alternatives?
When comparing thesis-computational-artificial-market and BristolStockExchange you can also consider the following projects:
QuantitaveFinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).