Derivatives Trading
Algorithmic trading using machine learning
@kaggle.rleplae_derivatives_trading
Algorithmic trading using machine learning
@kaggle.rleplae_derivatives_trading
This series of datasets represent trade signals on continuous derivates contracts.
Each dataset is composed out of lines.
Every line represents a single event and contains the features at the point of the event firing.
The goal is to build a model that can filter in real-time the generated signals and improve the overall performance of the trade robot.
CREATE TABLE pred2016l (
"open" DOUBLE,
"high" DOUBLE,
"low" DOUBLE,
"close" DOUBLE,
"hod" DOUBLE,
"lod" DOUBLE,
"hoy" DOUBLE,
"loy" DOUBLE,
"vpoc" DOUBLE,
"vpoc_1" DOUBLE,
"linreg" DOUBLE,
"linregslope" DOUBLE,
"cumdelta" BIGINT,
"ticks" DOUBLE
);CREATE TABLE pred2017l (
"open" DOUBLE,
"high" DOUBLE,
"low" DOUBLE,
"close" DOUBLE,
"hod" DOUBLE,
"lod" DOUBLE,
"hoy" DOUBLE,
"loy" DOUBLE,
"vpoc" DOUBLE,
"vpoc_1" DOUBLE,
"linreg" DOUBLE,
"linregslope" DOUBLE,
"cumdelta" BIGINT,
"ticks" DOUBLE
);Anyone who has the link will be able to view this.