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FOREX_usdjpy-minute-Close

FOREX_usdjpy-minute-Close

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  • finance forex forex_close forex_minute study_219
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Source: Dukascopy Historical Data Feed https://www.dukascopy.com/swiss/english/marketwatch/historical/ Edited by: Fabian Schut # Data Description This is the historical price data of the FOREX USD/JPY from Dukascopy. One instance (row) is one candlestick of one minute. The whole dataset has the data range from 1-1-2018 to 13-12-2018 and does not include the weekends, since the FOREX is not traded in the weekend. The timezone of the feature Timestamp is Europe/Amsterdam. The class attribute is the direction of the mean of the Close_Bid and the Close_Ask of the following minute, relative to the Close_Bid and Close_Ask mean of the current minute. This means the class attribute is True when the mean Close price is going up the following minute, and the class attribute is False when the mean Close price is going down (or stays the same) the following minute. # Attributes `Timestamp`: The time of the current data point (Europe/Amsterdam) `Bid_Open`: The bid price at the start of this time interval `Bid_High`: The highest bid price during this time interval `Bid_Low`: The lowest bid price during this time interval `Bid_Close`: The bid price at the end of this time interval `Bid_Volume`: The number of times the Bid Price changed within this time interval `Ask_Open`: The ask price at the start of this time interval `Ask_High`: The highest ask price during this time interval `Ask_Low`: The lowest ask price during this time interval `Ask_Close`: The ask price at the end of this time interval `Ask_Volume`: The number of times the Ask Price changed within this time interval `Class`: Whether the average price will go up during the next interval

12 features

Class (target)nominal2 unique values
0 missing
Timestampdate375840 unique values
0 missing
Bid_Opennumeric9591 unique values
0 missing
Bid_Highnumeric9602 unique values
0 missing
Bid_Lownumeric9612 unique values
0 missing
Bid_Closenumeric9588 unique values
0 missing
Bid_Volumenumeric35970 unique values
0 missing
Ask_Opennumeric9600 unique values
0 missing
Ask_Highnumeric9583 unique values
0 missing
Ask_Lownumeric9601 unique values
0 missing
Ask_Closenumeric9610 unique values
0 missing
Ask_Volumenumeric36282 unique values
0 missing
Show all 12 features

19 properties

NumberOfInstances
375840
Number of instances (rows) of the dataset.
NumberOfFeatures
12
Number of attributes (columns) of the dataset.
NumberOfClasses
2
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
11
Number of numeric attributes.
NumberOfSymbolicFeatures
1
Number of nominal attributes.
PercentageOfSymbolicFeatures
8.33
Percentage of nominal attributes.
AutoCorrelation
0.49
Average class difference between consecutive instances.
PercentageOfNumericFeatures
91.67
Percentage of numeric attributes.
PercentageOfMissingValues
0
Percentage of missing values.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
PercentageOfBinaryFeatures
8.33
Percentage of binary attributes.
NumberOfBinaryFeatures
1
Number of binary attributes.
MinorityClassSize
179085
Number of instances belonging to the least frequent class.
MinorityClassPercentage
47.65
Percentage of instances belonging to the least frequent class.
MajorityClassSize
196755
Number of instances belonging to the most frequent class.
MajorityClassPercentage
52.35
Percentage of instances belonging to the most frequent class.
Dimensionality
0
Number of attributes divided by the number of instances.
Show all 19 properties

10 tasks

Supervised Classification on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 20% Holdout (Ordered) - target_feature: Class
Supervised Classification on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 10-fold Crossvalidation - target_feature: Class
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
Clustering on FOREX_usdjpy-minute-Close
0 runs - estimation_procedure: 50 times Clustering
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