DEVELOPMENT... OpenML
Data
400k-NYSE-random-investments--financial-ratios

400k-NYSE-random-investments--financial-ratios

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Mark Murphy
0 likes downloaded by 0 people , 0 total downloads 0 issues 0 downvotes
Issue #Downvotes for this reason By


Loading wiki
Help us complete this description Edit
Context This dataset was created to make the project "AI Learn to invest" for SaturdaysAI - Euskadi 1st edition. The project can be found in https://github.com/ImanolR87/AI-Learn-to-invest Content More than 400.000 random investments were created with the data from the last 10 years from the NYSE market. Finantial ratios and volatilities were calculated and added to the random investments dataset. Finantial ratios included: ESG Ranking ROA ROE Net Yearly Income PB PE PS EPS Sharpe Acknowledgements I thank SaturdaysAI to push me falling in love with data science. Inspiration Our inspiration was to find an answer to why young people doesn't invest more on Stock-Exchange markets.

25 features

expected_return_(yearly)numeric891 unique values
0 missing
roe_rationumeric507 unique values
0 missing
roa_rationumeric439 unique values
0 missing
current_rationumeric219 unique values
0 missing
NetProfitMargin_rationumeric472 unique values
0 missing
PB_rationumeric391 unique values
0 missing
PS_rationumeric293 unique values
0 missing
EPS_rationumeric390 unique values
0 missing
PE_rationumeric443 unique values
0 missing
ESG_rankingnumeric25 unique values
0 missing
investmentstring2 unique values
0 missing
nominal_returnnumeric314504 unique values
0 missing
inflationnumeric6 unique values
0 missing
Unnamed:_0numeric405258 unique values
0 missing
Sharpe_Rationumeric31623 unique values
0 missing
Volatility_sellnumeric42307 unique values
0 missing
Volatility_Buynumeric31623 unique values
0 missing
price_SELLnumeric38671 unique values
0 missing
price_BUYnumeric28903 unique values
0 missing
date_SELL_fixstring1729 unique values
0 missing
date_BUY_fixstring1248 unique values
0 missing
amountnumeric17 unique values
0 missing
horizon_(days)numeric33 unique values
0 missing
sectorstring5 unique values
0 missing
companystring27 unique values
0 missing
Show all 25 features

19 properties

NumberOfInstances
405258
Number of instances (rows) of the dataset.
NumberOfFeatures
25
Number of attributes (columns) of the dataset.
NumberOfClasses
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
20
Number of numeric attributes.
NumberOfSymbolicFeatures
0
Number of nominal attributes.
PercentageOfSymbolicFeatures
0
Percentage of nominal attributes.
AutoCorrelation
Average class difference between consecutive instances.
PercentageOfNumericFeatures
80
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
0
Percentage of binary attributes.
NumberOfBinaryFeatures
0
Number of binary attributes.
MinorityClassSize
Number of instances belonging to the least frequent class.
MinorityClassPercentage
Percentage of instances belonging to the least frequent class.
MajorityClassSize
Number of instances belonging to the most frequent class.
MajorityClassPercentage
Percentage of instances belonging to the most frequent class.
Dimensionality
0
Number of attributes divided by the number of instances.
Show all 19 properties

0 tasks

Define a new task