Experiments with the Robust Binary Interval Search (RBIS) algorithm, a Query-Based prediction algorithm for the Online Search problem.

Last update: Apr 16, 2022

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Overview

OnlineSearchRBIS

Online Search with Best-Price and Query-Based Predictions

This is the implementation of the Robust Binary Interval Search (RBIS) algorithm, a Query-Based prediction algorithm for the Online Search problem.

Experiment Data

The experiment data can be download from https://eatradingacademy.com/software/forex-historical-data/.

We included ETHUSD, BTCUSD, CADJPY, and EURUSD as experiment data in the data folder.

It is possible to add other data files (e.g., GBPUSD).

Prerequisites

a c++ compiler, e.g., g++ 8.3.0 or higher

Compiling the Project

type the followings: g++ HeapBst.h g++ ErroneousBinarySearch.h g++ ConversionInput.h g++ BinarySearchQueries.cpp -o RBIS

Running the Program Reproducing Results

type the following: RBIS.exe

Follow the instructions to enter an input file name (e.g., "ETHUSD.csv"). The input file should be located in the "data" folder.

Experiment Result:

The resulting csv files can be found in the results folder.

Owner

S. K.

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Experiments with the Robust Binary Interval Search (RBIS) algorithm, a Query-Based prediction algorithm for the Online Search problem.

Related tags

Overview

OnlineSearchRBIS

Online Search with Best-Price and Query-Based Predictions

Experiment Data

Prerequisites

Compiling the Project

Running the Program Reproducing Results

Experiment Result:

Owner

S. K.

Details about the wide minima density hypothesis and metrics to compute width of a minima

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