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Technical-Indicator-Backtest

Technical-Indicator-Backtest

active ARFF CC0: Public Domain Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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Context Using TA-Lib : Technical Analysis Library. Backtest on the SPY Index data, using support and resistance indicators or any other indicator. Content Data contains daily SPY Index: Date Open High Low Close Adj Close Volume Acknowledgements Support for Resistance: Technical Analysis WIKI link: https://en.wikipedia.org/wiki/Support_and_resistance Inspiration Do your best for the backtest and technical indicator implementation

7 features

Datestring6126 unique values
0 missing
Opennumeric4725 unique values
0 missing
Highnumeric4767 unique values
0 missing
Lownumeric4736 unique values
0 missing
Closenumeric4760 unique values
0 missing
Adj_Closenumeric4760 unique values
0 missing
Volumenumeric6055 unique values
0 missing

19 properties

6126
Number of instances (rows) of the dataset.
7
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
6
Number of numeric attributes.
0
Number of nominal attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
0
Percentage of missing values.
Average class difference between consecutive instances.
85.71
Percentage of numeric attributes.
0
Number of attributes divided by the number of instances.
0
Percentage of nominal attributes.
Percentage of instances belonging to the most frequent class.
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.

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