Data
LT_Finance_Holdings_Ltd_Stock_Price_2017_to_2020

LT_Finance_Holdings_Ltd_Stock_Price_2017_to_2020

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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Context This dataset is a playground for fundamental and technical analysis. This can serve as basic tutorial for time-series data analysis. Content Dataset consists of following files: LTFinanceHoldingsLtdStockPrice2017to2020.csv: The data related to LT Finance Holdings Ltd Stock Price from Feb 2017 to Feb 2020 and contains 13 columns. Acknowledgements Prices were fetched from "bseindia" databases. Inspiration Here is couple of things one could try out with this data: One day ahead prediction: Rolling Linear Regression, ARIMA, SARIMA, LSTM Momentum/Mean-Reversion Strategies

13 features

Datestring744 unique values
0 missing
Open_Pricenumeric541 unique values
0 missing
High_Pricenumeric604 unique values
0 missing
Low_Pricenumeric615 unique values
0 missing
Close_Pricenumeric617 unique values
0 missing
WAPnumeric744 unique values
0 missing
No.of_Sharesnumeric744 unique values
0 missing
No._of_Tradesnumeric681 unique values
0 missing
Total_Turnover_(Rs.)numeric744 unique values
0 missing
Deliverable_Quantitynumeric740 unique values
1 missing
%_Deli._Qty_to_Traded_Qtynumeric668 unique values
1 missing
Spread_High-Lownumeric179 unique values
0 missing
Spread_Close-Opennumeric252 unique values
0 missing

19 properties

744
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
2
Number of missing values in the dataset.
1
Number of instances with at least one value missing.
12
Number of numeric attributes.
0
Number of nominal attributes.
0.02
Number of attributes divided by the number of instances.
92.31
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0.13
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.02
Percentage of missing values.

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