Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Pric

Unverified ML strategy on Indices by Moozzart. BotFinder score 18 out of 100.

Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficult and next to impossible to do. This is be

Source: github

Explorer/Indices/Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Pric
18
Data index
IndicesMLMedium risk⚠ Unverified

Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Pric

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6.2y
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Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Pric

Meyer-Packard-Genetic-Algorithm-for-Prediction-of-Stock-Prices-and-Performances Stock Market predictions are one of the most difficult problems to solve, and during the looming days of recession it’s extremely difficult and next to impossible to do. This is because there are numerous patterns in the stock prices trend throughout the day and every variation from the normal trend could mean something new, since stocks is ever expanding and hence new problems and pattern in the trends are visible which needs to be studied but these new trends are usually generated each and every day possible of the trade and to keep up with the change is a very lofty task to do especially for an individual who has a large or even semi large portfolio to maintain over a period of time. Stocks and bonds are immensely important for a country’s economy to boom and it’s collapse means the collapse of country’s economy and since these markets are linked with every possible sector that contribute to the economy, mostly organised sectors, it’s collapse would be seen on every sector linked in those markets by wh

PythonOpen-sourcegenetic-algorithmmachine-learningmeyer-packardstocktrading-strategies
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Source
Moozzart
Since 2020 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

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Stars15
Forks2
Open issues1
LanguagePython
License—
Last update2020-09-02
Created2020-09-02
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