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Python scripts for downloading and analyzing iran bourse (stock exchange) data. اسکریپت پایتون برای دانلود و تحلیل داده های بورس تهران.

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hghhgh/IranBourseAnalyser

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Iran bourse data downloader and analyzer

Extract and Analys data from Iran bourse or stock exchange

دانلود و تحلیل کننده داده های بورس اوراق بهادار تهران

Our preference in decision support and inference approach are as below :

  1. Bayesian Approach, like : Bayesian Inference
    • To prevent overfitting on small data
    • To use human expertise and belief
  2. Frequentist Inference, such as : hypothesis testing
    • To apply descriptive analysis
    • To apply diagnostic analysis
    • To apply prescriptive analysis
    • To apply predictive analysis
  3. Other data science techniques, like : Neural network and Machine Learning Technologies
    • To handel time series with large input dimension
    • To use useful libraries

This project has 3 packages

  1. DataPrepairing
  2. AnalysisHelpers
  3. DecisionSupports
    • My decision cycle is here

The last package is the main one !

with following usage examples :

  • DataPrepairing :
import DataPreparing.PrepareAllData
DataPreparing.PrepareAllData.DownloadAll()
DataPreparing.PrepareAllData.MergeAll()
DataPreparing.PrepareAllData.ExtractAll()

# for new function and their usage see "main.py" file
  • AnalysisHelpers :
import AnalysisHelpers.Distributions
AnalysisHelpers.Distributions.computePercentOfChangeDistributionForAllNamadsAsWhole(OutputDir='DataPreparing/Data/distributions', InputFile='DataPreparing/Data/AllDataByDays.pkl')
AnalysisHelpers.Distributions.computePercentOfChangeDistributionForAllNamads(OutputDir='DataPreparing/Data/distributions', InputFile='DataPreparing/Data/AllNamadsByNamads.pkl')

import AnalysisHelpers.SomeCharts
AnalysisHelpers.SomeCharts.drawScaters(OutputDir='DataPreparing/Data/Charts', InputFile='DataPreparing/Data/AllNamadsByNamads.pkl')
AnalysisHelpers.SomeCharts.drawCorrelations(InputDir='DataPreparing/Data/NamadsExcelsFromIranBourse', OutputDir="Data/Charts/IntraNamadCorrelations")
  • DecisionSupports :
# for new function and their usage see "main.py" file

Helps and Tutorial Articles

Analysis useful links

  1. Bayesian Inference

Data sets useful links

Support or Contact

email me : hosein.ghiasy at gmail.com

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Python scripts for downloading and analyzing iran bourse (stock exchange) data. اسکریپت پایتون برای دانلود و تحلیل داده های بورس تهران.

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