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QuotesDB

A C++ interface with MySQL for building your own database of historical market quotes.

Description

QuotesDB allows the user to download historical data from Oanda using their REST API and record them into a MySQL database. I chose this broker only for the purpose of this project as their API is well documented and it is very quick and straightforward to create a demo account allowing you to use this API. This project is just an example of how it can be done, there is room for improvements and it is still under active development.

Why such a project

When building your own trading system it is essential to have an easy access to a quality database of historical data for initializing your strategies when live trading but also for back-testing your new ideas. Such a database must be easy to refresh for keeping it up to date. I designed QuotesDB in that way, it allows first to initialize the database by creating tables for each desired pair (instrument,granularity), it will download and clean the data by removing duplicate Bars and Bars outside trading hours (week-ends, christmas, new-year). Indeed for small granularities it can unfortunately happen, not getting rid of these Bars could affect the back-testing results. Once the database is initialized, QuotesDB can easily be updated, it will read the last recorded Bar date, download the new data (cleaning them and selecting complete Bars only) and append them to the database.

How to use it

To use QuotesDB you will need:

Once registered to Oanda you will get an acccount id and an access token allowing you to download historical data from their server.

You need to create a database in MySQL for recording the downloaded historical data from Oanda. I called mine QuotesDB.

You will then configurate the header file QuotedDB.hpp with your own parameters for the connection to MySQL database, to Oanda server and the desired instruments and granularities.

Example

#include "QuotesDB.hpp"

int main()
{
   // creating a connection to Oanda server
   qdb::OandaAPI conn("practice");

   // downloading data from the 1st of Janurary 2007 and recording them in QuotesDB database
   conn.initAllTabs("QuotesDB","2007-01-01 00:00:00");
   // it will then download data for every pair (INSTRUMENT,GRANULARITY) defined in QuotesDB.hpp
   
   // you can update later all the tables in the database by simply doing:
   //conn.updateAllTabs("QuotesDB");

   // connecting to QuotesDB database for reading data
   qdb::DataBase db("QuotesDB");

   // reading the last 10 recorded Bars from table EUR_USD_D 
   std::vector<qdb::Bar> data = db.read_table("EUR_USD_D",10);

   // outputting the data
   for (int i = 0; i < data.size(); ++i) {
      data[i].print();
   }
}

Compilation

You will need to link to Poco and MySQL libraries to compile QuotesDB.

g++ -std=c++11 -O3 -Wall example.cpp -o run -lPocoNet -lPocoNetSSL -lPocoFoundation -lPocoJSON -lmysqlcppconn

Poco and MySQL need to be on your compiler path otherwise it will not find the required headers and libraries.

Ouput

2017-02-06 22:00:00  1.07444  1.07544  1.07486  1.07556  1.06555  1.06568  1.06822  1.06837   24736
2017-02-05 22:00:00  1.07866  1.07929  1.07881  1.07954  1.07047  1.07065  1.07491  1.07516   26266
2017-02-02 22:00:00  1.07564  1.07628   1.0797  1.07983  1.07088  1.07152    1.078    1.079   36782
2017-02-01 22:00:00   1.0768  1.07705  1.08282  1.08297  1.07554  1.07569  1.07574  1.07593   32335
2017-01-31 22:00:00  1.07959  1.08001  1.08068  1.08081  1.07263  1.07356  1.07675  1.07703   35995
2017-01-30 22:00:00  1.06931  1.06998  1.08116  1.08132  1.06839  1.06853  1.07966  1.07984   42940
2017-01-29 22:00:00  1.07182  1.07282  1.07396  1.07412  1.06198  1.06211  1.06942  1.06971   28475
2017-01-26 22:00:00  1.06774   1.0682  1.07243  1.07259  1.06576  1.06591  1.06931  1.07031   29190
2017-01-25 22:00:00  1.07464   1.0753  1.07649  1.07663  1.06572  1.06586  1.06807  1.06841   30854
2017-01-24 22:00:00  1.07274  1.07338  1.07691  1.07705  1.07105   1.0712  1.07465  1.07501   28624

The columns correspond to the Bar opening date, the open bid and ask, the high bid and ask, the low bid and ask, the close bid and ask and the tick volume. Note that I chose by the default time zone alignment America/New_York proposed by Oanda but you are free to change it.