Data

FOREX_eurchf-day-Close

active
ARFF
Publicly available Visibility: public Uploaded 04-06-2019 by Jan van Rijn

0 likes downloaded by 1 people , 1 total downloads 0 issues 0 downvotes

0 likes downloaded by 1 people , 1 total downloads 0 issues 0 downvotes

Issue | #Downvotes for this reason | By |
---|

Loading wiki

Help us complete this description
Edit

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 EUR/CHF from Dukascopy.
One instance (row) is one candlestick of one day.
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 day,
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 day,
and the class attribute is False when the mean Close price is going down (or stays the same) the following day.
# 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

Class (target) | nominal | 2 unique values 0 missing | |

Timestamp | date | 1833 unique values 0 missing | |

Bid_Open | numeric | 1669 unique values 0 missing | |

Bid_High | numeric | 1685 unique values 0 missing | |

Bid_Low | numeric | 1653 unique values 0 missing | |

Bid_Close | numeric | 1661 unique values 0 missing | |

Bid_Volume | numeric | 1824 unique values 0 missing | |

Ask_Open | numeric | 1677 unique values 0 missing | |

Ask_High | numeric | 1670 unique values 0 missing | |

Ask_Low | numeric | 1648 unique values 0 missing | |

Ask_Close | numeric | 1674 unique values 0 missing | |

Ask_Volume | numeric | 1824 unique values 0 missing |

-1.35

First quartile of kurtosis among attributes of the numeric type.

46924.43

Third quartile of standard deviation of attributes of the numeric type.

0

Standard deviation of the number of distinct values among attributes of the nominal type.

First quartile of mutual information between the nominal attributes and the target attribute.

-0.3

First quartile of skewness among attributes of the numeric type.

0.06

First quartile of standard deviation of attributes of the numeric type.

Average mutual information between the nominal attributes and the target attribute.

An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.

-1.35

Second quartile (Median) of kurtosis among attributes of the numeric type.

2

Average number of distinct values among the attributes of the nominal type.

1.15

Second quartile (Median) of means among attributes of the numeric type.

Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.

Second quartile (Median) of mutual information between the nominal attributes and the target attribute.

-0.29

Second quartile (Median) of skewness among attributes of the numeric type.

0.06

Second quartile (Median) of standard deviation of attributes of the numeric type.

Minimal mutual information between the nominal attributes and the target attribute.

-1.13

Third quartile of kurtosis among attributes of the numeric type.

2

The minimal number of distinct values among attributes of the nominal type.

Maximum mutual information between the nominal attributes and the target attribute.

Third quartile of mutual information between the nominal attributes and the target attribute.

2

The maximum number of distinct values among attributes of the nominal type.